hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1a1a48b643062f164220c75b43bf45734a607d59 | 776 | py | Python | leetcode/242-valid-anagram.py | oleonardolima/problem-solving | 079da5013c1f04e3b6a5c8c42f24cba60f0bc424 | [
"MIT"
] | null | null | null | leetcode/242-valid-anagram.py | oleonardolima/problem-solving | 079da5013c1f04e3b6a5c8c42f24cba60f0bc424 | [
"MIT"
] | null | null | null | leetcode/242-valid-anagram.py | oleonardolima/problem-solving | 079da5013c1f04e3b6a5c8c42f24cba60f0bc424 | [
"MIT"
] | null | null | null | # Problem Statement: https://leetcode.com/problems/valid-anagram/
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
if len(s) != len(t):
return False
else:
letter_cnt = {}
for letter in s:
if not letter in letter_cnt:
letter_cnt[letter] = 1
else:
letter_cnt[letter] = letter_cnt[letter] + 1
for letter in t:
if not letter in letter_cnt:
letter_cnt[letter] = 1
else:
letter_cnt[letter] = letter_cnt[letter] - 1
for letter in letter_cnt:
if letter_cnt[letter] > 0:
return False
return True
| 28.740741 | 65 | 0.472938 | 86 | 776 | 4.139535 | 0.348837 | 0.27809 | 0.379213 | 0.179775 | 0.47191 | 0.47191 | 0.47191 | 0.47191 | 0.47191 | 0.47191 | 0 | 0.01171 | 0.449742 | 776 | 26 | 66 | 29.846154 | 0.822014 | 0.081186 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a7e0ed2819dc3ed233ddffcb6d7776aa10f1f15a | 1,659 | py | Python | Python/Class2/lists.py | marce1994/Learning | 2b5928cf16c0d25bfc130ad4df9d415475395ec3 | [
"MIT"
] | null | null | null | Python/Class2/lists.py | marce1994/Learning | 2b5928cf16c0d25bfc130ad4df9d415475395ec3 | [
"MIT"
] | null | null | null | Python/Class2/lists.py | marce1994/Learning | 2b5928cf16c0d25bfc130ad4df9d415475395ec3 | [
"MIT"
] | null | null | null | # Online Python compiler (interpreter) to run Python online.
# Write Python 3 code in this online editor and run it.
vegetables = ["rucula", "tomate", "lechuga", "acelga"];
print(vegetables);
print(len(vegetables));
print(str(type(vegetables)));
print('-'*10);
print(vegetables[0]); # Elemento 0
print(vegetables[1:]) # Primer elemento en adelante
print(vegetables[2:]) # Segundo elemento en adelante
print(vegetables[0:10000]) # Python es magico y anda
print(vegetables[:]) # Copia todos los elementos en memoria ponele
print(vegetables[1:3][::-1]) # Invierte la lista
print('-'*10);
vegetables.append("berenjena") # Agrega a la lista
other_vegetables = ["brocoli", "coliflor", "lechuga"];
print(vegetables + other_vegetables);
vegetables.extend(other_vegetables);
print(vegetables);
print('-'*10);
a = [*vegetables, *other_vegetables];
print(a);
b = [vegetables, other_vegetables];
print(b);
c = ["d", *vegetables[1:3], "f", *other_vegetables]
print(c);
print('-'*10);
for vegetable in vegetables:
print(vegetable);
print('-'*10);
print(vegetables.pop());
print(vegetables.pop());
print(vegetables.pop());
print(vegetables.pop(0));
print(vegetables);
vegetables.remove("acelga");
print(vegetables);
print('-'*10);
new_list = vegetables; # Referencia
vegetables.append("acelga");
print(vegetables == new_list, vegetables, new_list)
print(id(vegetables), id(new_list));
new_list = vegetables[:]; # Copia
new_list.pop();
print(vegetables == new_list, vegetables, new_list)
print(id(vegetables), id(new_list));
# Otras formas copia lista
# new_list = vegetables.copy();
# new_list = list(vegetables);
# new_list = [+vegetables];
| 22.12 | 66 | 0.709464 | 215 | 1,659 | 5.390698 | 0.32093 | 0.220017 | 0.088007 | 0.059534 | 0.231234 | 0.174288 | 0.174288 | 0.174288 | 0.174288 | 0.112166 | 0 | 0.019782 | 0.116335 | 1,659 | 74 | 67 | 22.418919 | 0.770805 | 0.24774 | 0 | 0.386364 | 0 | 0 | 0.061688 | 0 | 0 | 0 | 0 | 0.013514 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.704545 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
a7e43445e9db29f8e0f2eb13845554ed1bc4b5fc | 216 | py | Python | examples/simple/main.py | chocri/huey | 31756ea83e5a010ea44d04f8d3abfe444406738b | [
"MIT"
] | null | null | null | examples/simple/main.py | chocri/huey | 31756ea83e5a010ea44d04f8d3abfe444406738b | [
"MIT"
] | null | null | null | examples/simple/main.py | chocri/huey | 31756ea83e5a010ea44d04f8d3abfe444406738b | [
"MIT"
] | null | null | null | from config import Configuration
from commands import count_beans
if __name__ == '__main__':
beans = raw_input('How many beans? ')
count_beans(int(beans))
print 'Enqueued job to count %s beans' % beans
| 24 | 50 | 0.717593 | 30 | 216 | 4.8 | 0.666667 | 0.138889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.194444 | 216 | 8 | 51 | 27 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
c51262f3d4570f9f6b18735df092ef1cf6b10ad5 | 418 | py | Python | _modules/custom_eos.py | iproute-net/saltstack-hello-world | 1597bd2e39f0f19a71617fed27d84185c6e74e83 | [
"Apache-2.0"
] | null | null | null | _modules/custom_eos.py | iproute-net/saltstack-hello-world | 1597bd2e39f0f19a71617fed27d84185c6e74e83 | [
"Apache-2.0"
] | null | null | null | _modules/custom_eos.py | iproute-net/saltstack-hello-world | 1597bd2e39f0f19a71617fed27d84185c6e74e83 | [
"Apache-2.0"
] | 1 | 2022-03-14T09:31:48.000Z | 2022-03-14T09:31:48.000Z | def version():
if __grains__['os'] == 'eos':
res = __salt__['napalm.pyeapi_run_commands']('show version')
return res[0]['version']
else:
return 'Not supported on this platform'
def model():
if __grains__['os'] == 'eos':
res = __salt__['napalm.pyeapi_run_commands']('show version')
return res[0]['modelName']
else:
return 'Not supported on this platform' | 32.153846 | 68 | 0.607656 | 50 | 418 | 4.68 | 0.46 | 0.068376 | 0.08547 | 0.111111 | 0.854701 | 0.854701 | 0.854701 | 0.547009 | 0.547009 | 0.547009 | 0 | 0.006329 | 0.244019 | 418 | 13 | 69 | 32.153846 | 0.734177 | 0 | 0 | 0.666667 | 0 | 0 | 0.386635 | 0.124105 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c53fe720fd0ce5921674cab66ee09985146b1260 | 175 | py | Python | Python/05 - Math/Triangle Quest 2.py | sohammanjrekar/HackerRank | 1f5010133a1ac1e765e855a086053c97d9e958be | [
"MIT"
] | null | null | null | Python/05 - Math/Triangle Quest 2.py | sohammanjrekar/HackerRank | 1f5010133a1ac1e765e855a086053c97d9e958be | [
"MIT"
] | null | null | null | Python/05 - Math/Triangle Quest 2.py | sohammanjrekar/HackerRank | 1f5010133a1ac1e765e855a086053c97d9e958be | [
"MIT"
] | null | null | null | """
Problem:https://www.hackerrank.com/challenges/triangle-quest-2/problem
Author: Eda AYDIN
"""
for i in range(1, int(input()) + 1):
print(((10 ** i) // 9) ** 2)
| 21.875 | 71 | 0.594286 | 26 | 175 | 4 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048951 | 0.182857 | 175 | 7 | 72 | 25 | 0.678322 | 0.508571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
c5442df343e38ae99160e40a6fc2d116d91d3480 | 5,332 | py | Python | pymatgen/symmetry/tests/test_kpath_hin.py | Chessmag/pymatgen | 61a4bb7a1792e1ea2379abd45b3c40efb816fd64 | [
"MIT"
] | 1 | 2021-10-18T01:26:50.000Z | 2021-10-18T01:26:50.000Z | pymatgen/symmetry/tests/test_kpath_hin.py | Chessmag/pymatgen | 61a4bb7a1792e1ea2379abd45b3c40efb816fd64 | [
"MIT"
] | null | null | null | pymatgen/symmetry/tests/test_kpath_hin.py | Chessmag/pymatgen | 61a4bb7a1792e1ea2379abd45b3c40efb816fd64 | [
"MIT"
] | null | null | null | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
import unittest
from pymatgen.util.testing import PymatgenTest
from pymatgen.core.lattice import Lattice
from pymatgen.core.structure import Structure
from pymatgen.symmetry.kpath import KPathSeek
try:
from seekpath import get_path # type: ignore
except ImportError:
get_path = None
class KPathSeekTest(PymatgenTest):
@unittest.skipIf(get_path is None, "No seek path present.")
def test_kpath_generation(self):
triclinic = [1, 2]
monoclinic = range(3, 16)
orthorhombic = range(16, 75)
tetragonal = range(75, 143)
rhombohedral = range(143, 168)
hexagonal = range(168, 195)
cubic = range(195, 231)
species = ["K", "La", "Ti"]
coords = [[0.345, 5, 0.77298], [0.1345, 5.1, 0.77298], [0.7, 0.8, 0.9]]
for i in range(230):
sg_num = i + 1
if sg_num in triclinic:
lattice = Lattice(
[[3.0233057319441246, 1, 0], [0, 7.9850357844548681, 1], [0, 1.2, 8.1136762279561818]]
)
elif sg_num in monoclinic:
lattice = Lattice.monoclinic(2, 9, 1, 99)
elif sg_num in orthorhombic:
lattice = Lattice.orthorhombic(2, 9, 1)
elif sg_num in tetragonal:
lattice = Lattice.tetragonal(2, 9)
elif sg_num in rhombohedral:
lattice = Lattice.hexagonal(2, 95)
elif sg_num in hexagonal:
lattice = Lattice.hexagonal(2, 9)
elif sg_num in cubic:
lattice = Lattice.cubic(2)
struct = Structure.from_spacegroup(sg_num, lattice, species, coords)
kpath = KPathSeek(struct) # Throws error if something doesn't work, causing test to fail.
kpoints = kpath.get_kpoints() # noqa: F841
@unittest.skipIf(get_path is None, "No seek path present.")
def test_kpath_acentered(self):
species = ["K", "La", "Ti"]
coords = [[0.345, 5, 0.77298], [0.1345, 5.1, 0.77298], [0.7, 0.8, 0.9]]
lattice = Lattice.orthorhombic(2, 9, 1)
struct = Structure.from_spacegroup(38, lattice, species, coords)
kpath = KPathSeek(struct)
kpoints = kpath._kpath["kpoints"]
labels = list(kpoints.keys())
self.assertEqual(
sorted(labels),
sorted(
["B_0", "B_2", "DELTA_0", "F_0", "GAMMA", "G_0", "G_2", "R", "R_2", "S", "T", "T_2", "Y", "Z", "Z_2"]
),
)
self.assertAlmostEqual(kpoints["GAMMA"][0], 0.0)
self.assertAlmostEqual(kpoints["GAMMA"][1], 0.0)
self.assertAlmostEqual(kpoints["GAMMA"][2], 0.0)
self.assertAlmostEqual(kpoints["Y"][0], 0.5)
self.assertAlmostEqual(kpoints["Y"][1], 0.5)
self.assertAlmostEqual(kpoints["Y"][2], 0.0)
self.assertAlmostEqual(kpoints["T"][0], 0.5)
self.assertAlmostEqual(kpoints["T"][1], 0.5)
self.assertAlmostEqual(kpoints["T"][2], 0.5)
self.assertAlmostEqual(kpoints["T_2"][0], 0.5)
self.assertAlmostEqual(kpoints["T_2"][1], 0.5)
self.assertAlmostEqual(kpoints["T_2"][2], -0.5)
self.assertAlmostEqual(kpoints["Z"][0], 0.0)
self.assertAlmostEqual(kpoints["Z"][1], 0.0)
self.assertAlmostEqual(kpoints["Z"][2], 0.5)
self.assertAlmostEqual(kpoints["Z_2"][0], 0.0)
self.assertAlmostEqual(kpoints["Z_2"][1], 0.0)
self.assertAlmostEqual(kpoints["Z_2"][2], -0.5)
self.assertAlmostEqual(kpoints["S"][0], 0.0)
self.assertAlmostEqual(kpoints["S"][1], 0.5)
self.assertAlmostEqual(kpoints["S"][2], 0.0)
self.assertAlmostEqual(kpoints["R"][0], 0.0)
self.assertAlmostEqual(kpoints["R"][1], 0.5)
self.assertAlmostEqual(kpoints["R"][2], 0.5)
self.assertAlmostEqual(kpoints["R_2"][0], 0.0)
self.assertAlmostEqual(kpoints["R_2"][1], 0.5)
self.assertAlmostEqual(kpoints["R_2"][2], -0.5)
self.assertAlmostEqual(kpoints["DELTA_0"][0], -0.25308641975308643)
self.assertAlmostEqual(kpoints["DELTA_0"][1], 0.25308641975308643)
self.assertAlmostEqual(kpoints["DELTA_0"][2], 0.0)
self.assertAlmostEqual(kpoints["F_0"][0], 0.25308641975308643)
self.assertAlmostEqual(kpoints["F_0"][1], 0.7469135802469136)
self.assertAlmostEqual(kpoints["F_0"][2], 0.0)
self.assertAlmostEqual(kpoints["B_0"][0], -0.25308641975308643)
self.assertAlmostEqual(kpoints["B_0"][1], 0.25308641975308643)
self.assertAlmostEqual(kpoints["B_0"][2], 0.5)
self.assertAlmostEqual(kpoints["B_2"][0], -0.25308641975308643)
self.assertAlmostEqual(kpoints["B_2"][1], 0.25308641975308643)
self.assertAlmostEqual(kpoints["B_2"][2], -0.5)
self.assertAlmostEqual(kpoints["G_0"][0], 0.25308641975308643)
self.assertAlmostEqual(kpoints["G_0"][1], 0.7469135802469136)
self.assertAlmostEqual(kpoints["G_0"][2], 0.5)
self.assertAlmostEqual(kpoints["G_2"][0], 0.25308641975308643)
self.assertAlmostEqual(kpoints["G_2"][1], 0.7469135802469136)
self.assertAlmostEqual(kpoints["G_2"][2], -0.5)
if __name__ == "__main__":
unittest.main()
| 38.637681 | 117 | 0.606339 | 680 | 5,332 | 4.658824 | 0.182353 | 0.298295 | 0.397727 | 0.130682 | 0.635417 | 0.631629 | 0.487058 | 0.14899 | 0.065657 | 0.065657 | 0 | 0.132726 | 0.238372 | 5,332 | 137 | 118 | 38.919708 | 0.647377 | 0.035259 | 0 | 0.096154 | 0 | 0 | 0.044968 | 0 | 0 | 0 | 0 | 0 | 0.442308 | 1 | 0.019231 | false | 0 | 0.067308 | 0 | 0.096154 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c5474858d23d1b1dccf8156d312871c6630f371d | 211 | py | Python | src/base64.py | eerohele/disjure | baa57b6f07e7f91984c294f97bba2aefdaaf0bb1 | [
"Apache-2.0"
] | 46 | 2020-09-07T10:34:38.000Z | 2022-03-01T08:28:11.000Z | src/base64.py | eerohele/disjure | baa57b6f07e7f91984c294f97bba2aefdaaf0bb1 | [
"Apache-2.0"
] | 66 | 2020-09-25T17:07:37.000Z | 2022-03-31T17:56:07.000Z | src/base64.py | eerohele/disjure | baa57b6f07e7f91984c294f97bba2aefdaaf0bb1 | [
"Apache-2.0"
] | 6 | 2020-10-06T06:43:53.000Z | 2021-08-10T13:16:13.000Z | import binascii
def encode(bs):
"""Given a bytes object, return a Base64-encoded version of that object, without
newlines."""
return binascii.b2a_base64(bs, newline=False).decode("utf-8").rstrip()
| 26.375 | 84 | 0.7109 | 30 | 211 | 4.966667 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033898 | 0.161137 | 211 | 7 | 85 | 30.142857 | 0.80791 | 0.412322 | 0 | 0 | 0 | 0 | 0.04386 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
c5672153f3db8243c8c0fc55847aeb6bc11eb556 | 531 | py | Python | RecoEgamma/EgammaIsolationAlgos/python/gamIsoDeposits_cff.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 3 | 2018-08-24T19:10:26.000Z | 2019-02-19T11:45:32.000Z | RecoEgamma/EgammaIsolationAlgos/python/gamIsoDeposits_cff.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 7 | 2016-07-17T02:34:54.000Z | 2019-08-13T07:58:37.000Z | RecoEgamma/EgammaIsolationAlgos/python/gamIsoDeposits_cff.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 5 | 2018-08-21T16:37:52.000Z | 2020-01-09T13:33:17.000Z | import FWCore.ParameterSet.Config as cms
from RecoEgamma.EgammaIsolationAlgos.egammaIsoSetup_cff import *
from RecoEgamma.EgammaIsolationAlgos.gamIsoDepositTk_cff import *
from RecoEgamma.EgammaIsolationAlgos.gamIsoDepositEcalFromHits_cff import *
from RecoEgamma.EgammaIsolationAlgos.gamIsoDepositHcalFromTowers_cff import *
gamIsoDeposits = cms.Sequence(
gamIsoDepositTk +
gamIsoDepositEcalFromHits +
gamIsoDepositHcalFromTowers +
gamIsoDepositHcalDepth1FromTowers +
gamIsoDepositHcalDepth2FromTowers
)
| 31.235294 | 77 | 0.847458 | 38 | 531 | 11.736842 | 0.473684 | 0.125561 | 0.304933 | 0.154709 | 0.289238 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004237 | 0.111111 | 531 | 16 | 78 | 33.1875 | 0.940678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.416667 | 0 | 0.416667 | 0 | 0 | 0 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
3d6c7fb329de47161eaf3a7100c6439773b79f3e | 2,181 | py | Python | backend/assortment/views.py | StichtingIAPC/swipe | d1ea35a40813d2d5e9cf9edde33148c0a825efc4 | [
"BSD-3-Clause-Clear"
] | null | null | null | backend/assortment/views.py | StichtingIAPC/swipe | d1ea35a40813d2d5e9cf9edde33148c0a825efc4 | [
"BSD-3-Clause-Clear"
] | null | null | null | backend/assortment/views.py | StichtingIAPC/swipe | d1ea35a40813d2d5e9cf9edde33148c0a825efc4 | [
"BSD-3-Clause-Clear"
] | null | null | null | from rest_framework import generics
from rest_framework import mixins
from assortment.models import AssortmentUnitType, AssortmentLabelType
from assortment.serializers import UnitTypeSerializer, LabelTypeSerializer, LabelTypeSerializerWithEdit, \
UnitTypeSerializerWithEdit
from www.models import SwipeLoginRequired
class UnitTypeListView(SwipeLoginRequired, mixins.ListModelMixin,
mixins.CreateModelMixin,
generics.GenericAPIView):
queryset = AssortmentUnitType.objects.all()
serializer_class = UnitTypeSerializerWithEdit
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
def post(self, request, *args, **kwargs):
return self.create(request, *args, **kwargs)
class UnitTypeDetailView(SwipeLoginRequired, mixins.RetrieveModelMixin,
mixins.UpdateModelMixin,
generics.GenericAPIView):
queryset = AssortmentUnitType.objects.all()
serializer_class = UnitTypeSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
def put(self, request, *args, **kwargs):
return self.update(request, *args, **kwargs)
class LabelTypeListView(SwipeLoginRequired, mixins.ListModelMixin,
mixins.CreateModelMixin,
generics.GenericAPIView):
queryset = AssortmentLabelType.objects.all()
serializer_class = LabelTypeSerializerWithEdit
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
def post(self, request, *args, **kwargs):
return self.create(request, *args, **kwargs)
class LabelTypeDetailView(SwipeLoginRequired, mixins.RetrieveModelMixin,
mixins.UpdateModelMixin,
generics.GenericAPIView):
queryset = AssortmentLabelType.objects.all()
serializer_class = LabelTypeSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
def put(self, request, *args, **kwargs):
return self.update(request, *args, **kwargs)
| 36.35 | 106 | 0.683631 | 189 | 2,181 | 7.857143 | 0.232804 | 0.118519 | 0.183165 | 0.113131 | 0.696296 | 0.696296 | 0.696296 | 0.696296 | 0.331313 | 0.331313 | 0 | 0 | 0.222834 | 2,181 | 59 | 107 | 36.966102 | 0.876106 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0 | 0.119048 | 0.190476 | 0.785714 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
3dac5afcba11596564f5b2a49e1406b9e71a8a82 | 6,026 | py | Python | openstack_dashboard/dashboards/admin/group_types/specs/tests.py | nicozhang/horizon | 49df5cffd84b6d9da4e5926afd12e0a92737d740 | [
"Apache-2.0"
] | 1 | 2019-11-01T07:40:49.000Z | 2019-11-01T07:40:49.000Z | openstack_dashboard/dashboards/admin/group_types/specs/tests.py | nicozhang/horizon | 49df5cffd84b6d9da4e5926afd12e0a92737d740 | [
"Apache-2.0"
] | 7 | 2017-06-26T14:34:33.000Z | 2020-06-30T22:10:50.000Z | openstack_dashboard/dashboards/admin/group_types/specs/tests.py | yi-cloud/horizon-xg | 827365753886025dc62fbfbed179ef719d313711 | [
"Apache-2.0"
] | 6 | 2015-05-25T00:31:26.000Z | 2022-03-21T22:36:25.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from django.urls import reverse
from openstack_dashboard import api
from openstack_dashboard.test import helpers as test
class GroupTypeSpecTests(test.BaseAdminViewTests):
@test.create_mocks({api.cinder: ('group_type_spec_list',
'group_type_get')})
def test_list_specs_when_none_exists(self):
group_type = self.cinder_group_types.first()
specs = [api.cinder.GroupTypeSpec(group_type.id, 'k1', 'v1')]
self.mock_group_type_get.return_value = group_type
self.mock_group_type_spec_list.return_value = specs
url = reverse('horizon:admin:group_types:specs:index',
args=[group_type.id])
resp = self.client.get(url)
self.assertEqual(resp.status_code, 200)
self.assertTemplateUsed(resp,
"admin/group_types/specs/index.html")
self.mock_group_type_get.assert_called_once_with(
test.IsHttpRequest(), group_type.id)
self.mock_group_type_spec_list.assert_called_once_with(
test.IsHttpRequest(), group_type.id)
@test.create_mocks({api.cinder: ('group_type_spec_list',
'group_type_get')})
def test_specs_view_with_exception(self):
group_type = self.cinder_group_types.first()
self.mock_group_type_get.return_value = group_type
self.mock_group_type_spec_list.side_effect = self.exceptions.cinder
url = reverse('horizon:admin:group_types:specs:index',
args=[group_type.id])
resp = self.client.get(url)
self.assertEqual(len(resp.context['specs_table'].data), 0)
self.assertMessageCount(resp, error=1)
self.mock_group_type_get.assert_called_once_with(
test.IsHttpRequest(), group_type.id)
self.mock_group_type_spec_list.assert_called_once_with(
test.IsHttpRequest(), group_type.id)
@test.create_mocks({api.cinder: ('group_type_spec_list',
'group_type_spec_set', )})
def test_spec_create_post(self):
group_type = self.cinder_group_types.first()
create_url = reverse(
'horizon:admin:group_types:specs:create',
args=[group_type.id])
index_url = reverse(
'horizon:admin:group_types:index')
data = {'key': u'k1',
'value': u'v1'}
self.mock_group_type_spec_set.return_value = None
resp = self.client.post(create_url, data)
self.assertNoFormErrors(resp)
self.assertMessageCount(success=1)
self.assertRedirectsNoFollow(resp, index_url)
self.mock_group_type_spec_set.assert_called_once_with(
test.IsHttpRequest(),
group_type.id,
{data['key']: data['value']})
@test.create_mocks({api.cinder: ('group_type_get', )})
def test_spec_create_get(self):
group_type = self.cinder_group_types.first()
create_url = reverse(
'horizon:admin:group_types:specs:create',
args=[group_type.id])
self.mock_group_type_get.return_value = group_type
resp = self.client.get(create_url)
self.assertEqual(resp.status_code, 200)
self.assertTemplateUsed(
resp, 'admin/group_types/specs/create.html')
self.mock_group_type_get.assert_called_once_with(
test.IsHttpRequest(), group_type.id)
@test.create_mocks({api.cinder: ('group_type_spec_list',
'group_type_spec_set',)})
def test_spec_edit(self):
group_type = self.cinder_group_types.first()
key = 'foo'
edit_url = reverse('horizon:admin:group_types:specs:edit',
args=[group_type.id, key])
index_url = reverse('horizon:admin:group_types:index')
data = {'value': u'v1'}
specs = {key: data['value']}
self.mock_group_type_spec_list.return_value = specs
self.mock_group_type_spec_set.return_value = None
resp = self.client.post(edit_url, data)
self.assertNoFormErrors(resp)
self.assertMessageCount(success=1)
self.assertRedirectsNoFollow(resp, index_url)
self.mock_group_type_spec_list.assert_called_once_with(
test.IsHttpRequest(), group_type.id, raw=True)
self.mock_group_type_spec_set.assert_called_once_with(
test.IsHttpRequest(), group_type.id, specs)
@test.create_mocks({api.cinder: ('group_type_spec_list',
'group_type_spec_unset')})
def test_spec_delete(self):
group_type = self.cinder_group_types.first()
specs = [api.cinder.GroupTypeSpec(group_type.id, 'k1', 'v1')]
formData = {'action': 'specs__delete__k1'}
index_url = reverse('horizon:admin:group_types:specs:index',
args=[group_type.id])
self.mock_group_type_spec_list.return_value = specs
self.mock_group_type_spec_unset.return_value = group_type
res = self.client.post(index_url, formData)
redirect = reverse('horizon:admin:group_types:index')
self.assertNoFormErrors(res)
self.assertRedirectsNoFollow(res, redirect)
self.mock_group_type_spec_list.assert_called_once_with(
test.IsHttpRequest(), group_type.id)
self.mock_group_type_spec_unset.assert_called_once_with(
test.IsHttpRequest(), group_type.id, ['k1'])
| 42.43662 | 75 | 0.658148 | 758 | 6,026 | 4.914248 | 0.186016 | 0.14255 | 0.076779 | 0.091275 | 0.722953 | 0.716779 | 0.704966 | 0.684832 | 0.66443 | 0.611812 | 0 | 0.005028 | 0.240956 | 6,026 | 141 | 76 | 42.737589 | 0.809357 | 0.086625 | 0 | 0.570093 | 0 | 0 | 0.121085 | 0.073926 | 0 | 0 | 0 | 0 | 0.224299 | 1 | 0.056075 | false | 0 | 0.028037 | 0 | 0.093458 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3db2fb270bf9f7f3981fe8351e454ca6b15335fb | 20,792 | py | Python | conpaas-services/src/conpaas/services/webservers/manager/autoscaling/performance.py | bopopescu/conpaas-2 | 0141a11b67b14757f445b44613ea79819b9c2eaf | [
"BSD-3-Clause"
] | 5 | 2016-02-24T14:44:03.000Z | 2020-11-29T19:18:40.000Z | conpaas-services/src/conpaas/services/webservers/manager/autoscaling/performance.py | bopopescu/conpaas-2 | 0141a11b67b14757f445b44613ea79819b9c2eaf | [
"BSD-3-Clause"
] | 25 | 2015-03-23T16:05:19.000Z | 2018-02-13T17:22:22.000Z | conpaas-services/src/conpaas/services/webservers/manager/autoscaling/performance.py | bopopescu/conpaas-2 | 0141a11b67b14757f445b44613ea79819b9c2eaf | [
"BSD-3-Clause"
] | 2 | 2015-11-06T15:16:09.000Z | 2020-07-26T03:18:03.000Z | """
@author: fernandez
"""
from conpaas.services.webservers.manager.autoscaling import log
PATH_LOG_FILE = '/tmp/provisioning.log'
log.init(PATH_LOG_FILE)
logger = log.create_logger('Autoscaling')
DEFAULT_REQUEST_RATE_PREDICTION = 1.2
class ServiceNodePerf(object):
"""
This class will contain performance info about the nodes (i.e. the performance profiles).
A dictionary with objects of this type will be stored and will be accessed by
the provisioning and profiling managers.
"""
# Default weight for nodes in load balancing. This is also defined in internal.py,
# we should merge them into a single definition
DEFAULT_NODE_WEIGHT = 100
def __init__(self, vmid, ip, runProxy, runWeb, runBackend, provisioningState):
self.vmid = vmid
self.ip = ip
self.isRunningProxy = runProxy
self.isRunningWeb = runWeb
self.isRunningBackend = runBackend
# default values for weights in the beginning
self.weightWeb = self.DEFAULT_NODE_WEIGHT
self.weightBackend = self.DEFAULT_NODE_WEIGHT
self.provisioning_state = provisioningState
self.registered_with_manager = True
self.online_web_profile = []
self.oweb_coeffs = []
self.online_backend_profile = []
self.oback_coeffs = []
def update_online_web_coefficients(self):
self.oweb_coeffs = []
if len(self.online_web_profile) <= 1:
return
for i in range(0, len(self.online_web_profile) - 1):
x1 = self.online_web_profile[i][0]
y1 = self.online_web_profile[i][1]
x2 = self.online_web_profile[i + 1][0]
y2 = self.online_web_profile[i + 1][1]
a = (y2 - y1) / (x2 - x1)
b = y1 - a * x1
self.oweb_coeffs.append([a, b])
logger.debug('Updated coefficients for online web profiling: ' + str(self.oweb_coeffs))
def update_online_backend_coefficients(self):
self.oback_coeffs = []
if len(self.online_backend_profile) <= 1:
return
for i in range(0, len(self.online_backend_profile) - 1):
x1 = self.online_backend_profile[i][0]
y1 = self.online_backend_profile[i][1]
x2 = self.online_backend_profile[i + 1][0]
y2 = self.online_backend_profile[i + 1][1]
a = (y2 - y1) / (x2 - x1)
b = y1 - a * x1
self.oback_coeffs.append([a, b])
logger.debug('Updated coefficients for online web profiling: ' + str(self.oback_coeffs))
def update_online_web_profile(self, web_profile):
self.online_web_profile = web_profile
self.update_online_web_coefficients()
def update_online_backend_profile(self, backend_profile):
self.online_backend_profile = backend_profile
self.update_online_backend_coefficients()
def compute_resp_time_prediction(self, request_rate, profile, coeffs):
if len(coeffs) < 2:
return -1
idx = 0
profile_len = len(profile)
for i in range(0, profile_len - 1):
if (request_rate >= profile[i][0] and request_rate <= profile[i + 1][0]):
idx = i
break
if request_rate > profile[profile_len - 1][0]:
idx = profile_len - 2
prediction = coeffs[idx][0] * request_rate + coeffs[idx][1]
logger.debug('Response time prediction: index ' + str(idx) + ' predicted value: ' + str(prediction))
return prediction
def response_time_online_prediction(self, tier_type, request_rate):
if tier_type == 'web':
return self.compute_resp_time_prediction(request_rate, self.online_web_profile, self.oweb_coeffs)
else:
return self.compute_resp_time_prediction(request_rate, self.online_backend_profile, self.oback_coeffs)
def compute_req_rate_prediction(self, target_resp_time, profile, coeffs):
if len(profile) < 2:
return DEFAULT_REQUEST_RATE_PREDICTION
idx = 0
profile_len = len(profile)
for i in range(0, profile_len - 1):
if (target_resp_time >= profile[i][1] and target_resp_time <= profile[i + 1][1]):
idx = i
break
if target_resp_time > profile[profile_len - 1][1]:
idx = profile_len - 2
# return int(round((target_resp_time - coeffs[idx][1]) / coeffs[idx][0]))
predicted_req_rate = (target_resp_time - coeffs[idx][1]) / coeffs[idx][0]
# if we got an incorrect value, use the default:
if predicted_req_rate <= 0:
predicted_req_rate = DEFAULT_REQUEST_RATE_PREDICTION
logger.debug('Request rate prediction: index ' + str(idx) + ' predicted value: ' + str(predicted_req_rate))
return predicted_req_rate
def req_rate_online_prediction(self, tier_type, target_resp_time):
if tier_type == 'web':
return self.compute_req_rate_prediction(target_resp_time, self.online_web_profile, self.oweb_coeffs)
else:
return self.compute_req_rate_prediction(target_resp_time, self.online_backend_profile, self.oback_coeffs)
def compute_node_weight(self, tier_type, target_resp_time):
predicted_req_rate = self.req_rate_online_prediction(tier_type, target_resp_time)
weight = int(round(10 * predicted_req_rate))
return weight
def __repr__(self):
return 'ServiceNodePerf(vmid=%s, ip=%s, proxy=%s, web=%s, backend=%s)' % (str(self.vmid), self.ip, str(self.isRunningProxy), str(self.isRunningWeb), str(self.isRunningBackend))
class ServicePerformance(object):
def __init__(self):
self.serviceNodes = {}
self.profilingNodes = {}
self.idleNodes = {}
def getProxyServiceNodes(self):
return [serviceNode for serviceNode in self.serviceNodes.values() if serviceNode.isRunningProxy]
def getWebServiceNodes(self):
return [serviceNode for serviceNode in self.serviceNodes.values() if serviceNode.isRunningWeb]
def getBackendServiceNodes(self):
return [serviceNode for serviceNode in self.serviceNodes.values() if serviceNode.isRunningBackend]
def getProfilingNodes(self):
return [profilingNode for profilingNode in self.profilingNodes.values()]
def reset_role_info(self):
for node in self.serviceNodes.values():
node.registered_with_manager = False
node.isRunningProxy = node.isRunningBackend = node.isRunningWeb = False
for node in self.profilingNodes.values():
node.registered_with_manager = False
node.isRunningProxy = node.isRunningBackend = node.isRunningWeb = False
class StatUtils(object):
def __init__(self):
self.old_monitoring_data_resp = []
self.old_monitoring_data_cpu = []
self.old_monitoring_data = []
def compute_average(self, list):
sum = 0.0
noDataValues = 0
for value in list:
if value < 0:
value = 0.0
noDataValues = noDataValues + 1
sum += value
elements = len(list) - noDataValues
if sum == 0:
return 0.0
return float(sum) / float(elements)
def compute_weight_average(self, list):
sum = 0.0
sum_weights = 0.0
weights = [w for w in range(len(list))]
for it in range(len(list)):
# No monitoring data ..
if list[it] < 0:
list[it] = 0.0
weights[it] = 0
sum += (list[it] * weights[it])
sum_weights += weights[it]
if sum == 0:
return 0.0
return float(sum) / float(sum_weights)
def compute_weight_average_response(self, list, slo, weight_slow_violation):
sum = 0.0
sum_weights = 0.0
weights = [w for w in range(len(list))]
for it in range(len(list)):
# No monitoring data ..
factor = 1
if list[it] < 0:
list[it] = 0.0
weights[it] = 0
elif list[it] > slo:
factor = weight_slow_violation
sum += (list[it] * weights[it] * factor)
sum_weights += weights[it] * factor
if sum == 0:
return 0.0
return float(sum) / float(sum_weights)
def filter_response_data(self, new_monitoring_data):
list_filtered = []
if len(new_monitoring_data) <= 1 and len(self.old_monitoring_data_resp) == 0:
self.old_monitoring_data_resp = new_monitoring_data
return new_monitoring_data
for data in new_monitoring_data:
if not data in self.old_monitoring_data_resp:
list_filtered.append(data)
self.old_monitoring_data_resp = []
self.old_monitoring_data_resp = list_filtered
return self.old_monitoring_data_resp
def filter_monitoring_data(self, new_monitoring_data, monitoring_metrics):
if len(new_monitoring_data) <= 1 or len(self.old_monitoring_data) == 0:
self.old_monitoring_data = new_monitoring_data
return new_monitoring_data
for index, timestamp in enumerate(new_monitoring_data['timestamps']):
if timestamp in self.old_monitoring_data['timestamps']:
del new_monitoring_data['timestamps'][index]
for metric in monitoring_metrics:
del new_monitoring_data[metric][index]
#del new_monitoring_data['php_response_time_lb'][index]
#del new_monitoring_data['php_request_rate_lb'][index]
#del new_monitoring_data['cpu_user'][index]
#del new_monitoring_data['web_request_rate_lb'][index]
#del new_monitoring_data['web_response_time_lb'][index]
self.old_monitoring_data_resp = []
self.old_monitoring_data_resp = new_monitoring_data
return self.old_monitoring_data_resp
def filter_cpu_data(self, new_monitoring_data):
list_filtered = []
if len(new_monitoring_data) <= 1 and len(self.old_monitoring_data_cpu) == 0:
self.old_monitoring_data_cpu = new_monitoring_data
return new_monitoring_data
for data in new_monitoring_data:
if not data in self.old_monitoring_data_cpu:
list_filtered.append(data)
self.old_monitoring_data_cpu = []
self.old_monitoring_data_cpu = list_filtered
return self.old_monitoring_data_cpu
#sta = StatUtils()
# monitoring_metrics_proxy = ['web_request_rate_lb', 'web_response_time_lb', \
# 'php_request_rate_lb', 'php_response_time_lb', 'cpu_user']
#proxy_data_1 = {u'10.100.2.67': {'cpu_user': [8.6066666667000007, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.17999999999999999, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.12, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.19333333333, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.29999999999999999, 0.29999999999999999, -1, -1], 'php_request_rate_lb': [0.0, 0.0, 0.27155466667, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 0.97498693332999997, 0.97498693332999997, 4.6722739999999998, 4.9102040000000002, 4.6055659999999996, 4.9164870000000001, 4.344106, 3.7350759999999998, 4.4150109999999998, 4.8974190000000002, 4.1264560000000001, 4.1264560000000001, 4.2452829999999997, 4.5001300000000004, 4.5001300000000004, 4.8351350000000002, 4.5397467999999996, 4.5397467999999996, 5.57843, 5.4013910000000003, 4.3455360000000001, -1, -1], 'web_response_time_lb': [0.0, 0.0, 42.733333332999997, 277.76666667000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 32.071111999999999, 32.071111999999999, 331.178223, 326.93478399999998, 390.259613, 338.55856299999999, 479.53192100000001, 281.982147, 306.32406600000002, 295.82052599999997, 397.11322000000001, 397.11322000000001, 351.14953600000001, 386.03613052999998, 386.03613052999998, 397.90194700000001, 414.59056607000002, 414.59056607000002, 248.072159, 346.846161, 264.57406600000002, -1, -1], 'web_request_rate_lb': [0.0, 0.0, 0.27155466667, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 2.0366599999999999, 0.99375760000000002, 0.99375760000000002, 6.7414230000000002, 6.1882020000000004, 6.8425560000000001, 7.4757540000000002, 6.1870599999999998, 7.4701529999999998, 7.224564, 7.7432169999999996, 7.0549080000000002, 7.0549080000000002, 7.2102430000000002, 6.4542671333000001, 6.4542671333000001, 6.8497750000000002, 6.9161111333000003, 6.9161111333000003, 6.4417590000000002, 7.021808, 7.1108770000000003, -1, -1], 'timestamps': [1363996770, 1363996785, 1363996800, 1363996815, 1363996830, 1363996845, 1363996860, 1363996875, 1363996890, 1363996905, 1363996920, 1363996935, 1363996950, 1363996965, 1363996980, 1363996995, 1363997010, 1363997025, 1363997040, 1363997055, 1363997070, 1363997085, 1363997100, 1363997115, 1363997130, 1363997145, 1363997160, 1363997175, 1363997190, 1363997205, 1363997220, 1363997235, 1363997250, 1363997265, 1363997280, 1363997295, 1363997310, 1363997325, 1363997340, 1363997355, 1363997370, 1363997385, 1363997400, 1363997415, 1363997430, 1363997445, 1363997460, 1363997475, 1363997490], 'php_response_time_lb': [0.0, 0.0, 42.799999999999997, 278.19999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 165.77254239999999, 165.77254239999999, 1406.5142820000001, 1501.5889890000001, 1501.8857419999999, 1501.6437989999999, 1501.712158, 1502.0, 1501.5, 1501.9053960000001, 1501.758057, 1501.758057, 1501.6983640000001, 1501.5460123, 1501.5460123, 1501.625, 1501.9315836999999, 1501.9315836999999, 1501.666626, 1501.9250489999999, 1504.8029790000001, -1, -1]}}
#proxy_data_2 = {u'10.100.2.67': {'cpu_user': [0.19333333333, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.10000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.29999999999999999, 0.29999999999999999, 0.24666666667000001, 0.24666666667000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 0.20666666667, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, 0.29999999999999999, -1, -1], 'php_request_rate_lb': [2.0366599999999999, 2.0366599999999999, 0.97498693332999997, 0.97498693332999997, 4.6722739999999998, 4.9102040000000002, 4.6055659999999996, 4.9164870000000001, 4.344106, 3.7350759999999998, 4.4150109999999998, 4.8974190000000002, 4.1264560000000001, 4.1264560000000001, 4.2452829999999997, 4.5001300000000004, 4.5001300000000004, 4.8351350000000002, 4.5397467999999996, 4.5397467999999996, 5.57843, 5.4013910000000003, 4.3455360000000001, 5.1004019332999997, 5.1004019332999997, 4.0563900000000004, 5.9808106667000001, 4.9257799999999996, 4.9257799999999996, 4.9297972666999996, 4.9862380000000002, 4.9397900666999996, 4.3961171332999998, 5.2764252666999996, 4.8436221333000002, 4.8305736000000001, 5.3203192667000003, 6.1173526000000003, 5.1313950000000004, 4.4127888000000004, 3.9462329333000001, 4.9303617332999998, 5.3219652667000004, 4.8811970000000002, 4.9386872000000004, 3.9806000667000001, 4.4173127333000002, -1, -1], 'web_response_time_lb': [0.0, 0.0, 32.071111999999999, 32.071111999999999, 331.178223, 326.93478399999998, 390.259613, 338.55856299999999, 479.53192100000001, 281.982147, 306.32406600000002, 295.82052599999997, 397.11322000000001, 397.11322000000001, 351.14953600000001, 386.03613052999998, 386.03613052999998, 397.90194700000001, 414.59056607000002, 414.59056607000002, 248.072159, 346.846161, 264.57406600000002, 330.85745220000001, 330.85745220000001, 237.649124, 404.62391746999998, 385.77874800000001, 385.77874800000001, 384.67887819999999, 373.56775747, 425.33456027, 301.79624412999999, 263.07980433, 345.44047819999997, 272.15719926999998, 114.69993927, 127.6299222, 93.995092, 91.0031192, 57.778877332999997, 70.469742933000006, 69.681743600000004, 90.447554066999999, 88.372351266999999, 76.091151400000001, 66.384089532999994, -1, -1], 'web_request_rate_lb': [2.0366599999999999, 2.0366599999999999, 0.99375760000000002, 0.99375760000000002, 6.7414230000000002, 6.1882020000000004, 6.8425560000000001, 7.4757540000000002, 6.1870599999999998, 7.4701529999999998, 7.224564, 7.7432169999999996, 7.0549080000000002, 7.0549080000000002, 7.2102430000000002, 6.4542671333000001, 6.4542671333000001, 6.8497750000000002, 6.9161111333000003, 6.9161111333000003, 6.4417590000000002, 7.021808, 7.1108770000000003, 6.6779988667000003, 6.6779988667000003, 7.5807950000000002, 6.7129089332999996, 7.5217999999999998, 7.5217999999999998, 7.5255986000000004, 7.5347346667000004, 6.9837931332999998, 7.8774575333000003, 7.6596255332999998, 7.2243415332999996, 5.6483380667, 5.4756054667000003, 6.6669099333000004, 6.9453864000000003, 7.4672422666999996, 7.1623893333000002, 7.3710671333000004, 5.7925437999999998, 7.3501445332999999, 6.2169723333000002, 6.2112254667000002, 5.3902014666999998, -1, -1], 'timestamps': [1363997130, 1363997145, 1363997160, 1363997175, 1363997190, 1363997205, 1363997220, 1363997235, 1363997250, 1363997265, 1363997280, 1363997295, 1363997310, 1363997325, 1363997340, 1363997355, 1363997370, 1363997385, 1363997400, 1363997415, 1363997430, 1363997445, 1363997460, 1363997475, 1363997490, 1363997505, 1363997520, 1363997535, 1363997550, 1363997565, 1363997580, 1363997595, 1363997610, 1363997625, 1363997640, 1363997655, 1363997670, 1363997685, 1363997700, 1363997715, 1363997730, 1363997745, 1363997760, 1363997775, 1363997790, 1363997805, 1363997820, 1363997835, 1363997850], 'php_response_time_lb': [0.0, 0.0, 165.77254239999999, 165.77254239999999, 1406.5142820000001, 1501.5889890000001, 1501.8857419999999, 1501.6437989999999, 1501.712158, 1502.0, 1501.5, 1501.9053960000001, 1501.758057, 1501.758057, 1501.6983640000001, 1501.5460123, 1501.5460123, 1501.625, 1501.9315836999999, 1501.9315836999999, 1501.666626, 1501.9250489999999, 1504.8029790000001, 1504.2562743000001, 1504.2562743000001, 1501.786865, 1501.9774738999999, 1501.6621090000001, 1501.6621090000001, 1501.6677486999999, 1501.7413655, 1481.1096843, 1152.4522704999999, 878.4198854, 829.90510240000003, 894.78423667000004, 542.63731919999998, 319.30373513000001, 258.98950252999998, 231.58031700000001, 214.67121233, 303.98381339999997, 231.58753146999999, 250.64234087, 318.66685113, 229.57654052999999, 257.59433612999999, -1, -1]}}
# for ip, items in proxy_data_1.iteritems():
# print len(sta.filter_monitoring_data(items, monitoring_metrics_proxy))
# for ip, items in proxy_data_2.iteritems():
# print len(sta.filter_monitoring_data(items, monitoring_metrics_proxy))
| 68.170492 | 5,212 | 0.724606 | 2,486 | 20,792 | 5.895012 | 0.199115 | 0.015967 | 0.020061 | 0.024565 | 0.650426 | 0.623541 | 0.591266 | 0.569635 | 0.546844 | 0.520778 | 0 | 0.460136 | 0.171749 | 20,792 | 304 | 5,213 | 68.394737 | 0.39086 | 0.530444 | 0 | 0.366834 | 0 | 0.005025 | 0.033158 | 0.004634 | 0 | 0 | 0 | 0 | 0 | 1 | 0.120603 | false | 0 | 0.005025 | 0.025126 | 0.286432 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3db981f73786001139895383f93da44914a7ef71 | 55 | py | Python | rdmo/options/__init__.py | Raspeanut/rdmo | 9f785010a499c372a2f8368ccf76d2ea4150adcb | [
"Apache-2.0"
] | 1 | 2021-12-13T16:32:25.000Z | 2021-12-13T16:32:25.000Z | rdmo/options/__init__.py | Raspeanut/rdmo | 9f785010a499c372a2f8368ccf76d2ea4150adcb | [
"Apache-2.0"
] | null | null | null | rdmo/options/__init__.py | Raspeanut/rdmo | 9f785010a499c372a2f8368ccf76d2ea4150adcb | [
"Apache-2.0"
] | 1 | 2021-05-20T09:31:49.000Z | 2021-05-20T09:31:49.000Z | default_app_config = 'rdmo.options.apps.OptionsConfig'
| 27.5 | 54 | 0.836364 | 7 | 55 | 6.285714 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 55 | 1 | 55 | 55 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0.563636 | 0.563636 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3dbbd96a02567b1d4ed2914205703843bdcd4a76 | 2,519 | py | Python | eventsourcing/tests/test_retry_decorator.py | Skyross/eventsourcing | 30da69f6a17e9575cadf0bb211d3b7c77d239ffb | [
"BSD-3-Clause"
] | null | null | null | eventsourcing/tests/test_retry_decorator.py | Skyross/eventsourcing | 30da69f6a17e9575cadf0bb211d3b7c77d239ffb | [
"BSD-3-Clause"
] | null | null | null | eventsourcing/tests/test_retry_decorator.py | Skyross/eventsourcing | 30da69f6a17e9575cadf0bb211d3b7c77d239ffb | [
"BSD-3-Clause"
] | null | null | null | from unittest import TestCase
from eventsourcing.utils import retry
class TestRetryDecorator(TestCase):
def test_bare(self):
@retry
def f():
pass
f()
def test_no_args(self):
@retry()
def f():
pass
f()
def test_exception_single_value(self):
@retry(ValueError)
def f():
pass
f()
def test_exception_sequence(self):
@retry((ValueError, TypeError))
def f():
pass
f()
def test_exception_type_error(self):
with self.assertRaises(TypeError):
@retry(1)
def _():
pass
with self.assertRaises(TypeError):
@retry((ValueError, 1))
def _():
pass
def test_exception_raised_no_retry(self):
self.call_count = 0
@retry(ValueError)
def f():
self.call_count += 1
raise ValueError
with self.assertRaises(ValueError):
f()
self.assertEqual(self.call_count, 1)
def test_max_attempts(self):
self.call_count = 0
@retry(ValueError, max_attempts=2)
def f():
self.call_count += 1
raise ValueError
with self.assertRaises(ValueError):
f()
self.assertEqual(self.call_count, 2)
def test_max_attempts_not_int(self):
with self.assertRaises(TypeError):
@retry(ValueError, max_attempts="a")
def f():
pass
def test_wait(self):
self.call_count = 0
@retry(ValueError, max_attempts=2, wait=0.001)
def f():
self.call_count += 1
raise ValueError
with self.assertRaises(ValueError):
f()
self.assertEqual(self.call_count, 2)
def test_wait_not_float(self):
with self.assertRaises(TypeError):
@retry(ValueError, max_attempts=1, wait="a")
def f():
pass
def test_stall(self):
self.call_count = 0
@retry(ValueError, max_attempts=2, stall=0.001)
def f():
self.call_count += 1
raise ValueError
with self.assertRaises(ValueError):
f()
self.assertEqual(self.call_count, 2)
def test_stall_not_float(self):
with self.assertRaises(TypeError):
@retry(ValueError, max_attempts=1, stall="a")
def f():
pass
| 20.647541 | 57 | 0.533148 | 272 | 2,519 | 4.757353 | 0.161765 | 0.064915 | 0.120556 | 0.120556 | 0.761978 | 0.761978 | 0.673879 | 0.602782 | 0.564142 | 0.518547 | 0 | 0.017035 | 0.370782 | 2,519 | 121 | 58 | 20.818182 | 0.799369 | 0 | 0 | 0.674699 | 0 | 0 | 0.001191 | 0 | 0 | 0 | 0 | 0 | 0.156627 | 1 | 0.301205 | false | 0.108434 | 0.024096 | 0 | 0.337349 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
3dbcdead9229399c65e9353b10a83689a50938b6 | 339 | py | Python | src/bot/botstates/DefaultBot.py | malmgrens4/TwIOTch | a3e05f5fcb5bcd75aba3cf9533ca7c5308e4a2de | [
"MIT"
] | null | null | null | src/bot/botstates/DefaultBot.py | malmgrens4/TwIOTch | a3e05f5fcb5bcd75aba3cf9533ca7c5308e4a2de | [
"MIT"
] | null | null | null | src/bot/botstates/DefaultBot.py | malmgrens4/TwIOTch | a3e05f5fcb5bcd75aba3cf9533ca7c5308e4a2de | [
"MIT"
] | null | null | null | from twitchio.dataclasses import Message
from src.bot.botstates.BotState import BotState
class DefaultBot(BotState):
async def handle_event_message(self, msg: Message) -> None:
pass
async def handle_join(self, msg: Message) -> None:
pass
async def can_join(self, msg: Message) -> bool:
return True
| 22.6 | 63 | 0.693215 | 44 | 339 | 5.25 | 0.545455 | 0.103896 | 0.181818 | 0.155844 | 0.25974 | 0.25974 | 0.25974 | 0 | 0 | 0 | 0 | 0 | 0.224189 | 339 | 14 | 64 | 24.214286 | 0.878327 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.222222 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
3dc688aa58a97751bf0c8c51d39ed7db2b35f6e2 | 877 | py | Python | scieio/spectroscopy/views.py | arnelimperial/scieio | 279a25766f20d074a3df824c0fbc8b2d8e35f272 | [
"MIT"
] | null | null | null | scieio/spectroscopy/views.py | arnelimperial/scieio | 279a25766f20d074a3df824c0fbc8b2d8e35f272 | [
"MIT"
] | 8 | 2021-03-19T01:56:44.000Z | 2022-03-12T00:24:21.000Z | scieio/spectroscopy/views.py | arnelimperial/scieio | 279a25766f20d074a3df824c0fbc8b2d8e35f272 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from rest_framework import viewsets
from . import models, serializers
class SpectroscopyViewSet(viewsets.ModelViewSet):
queryset = models.Spectroscopy.objects.all()
serializer_class = serializers.SpectroscopySerializer
class AtomicAbsorptionViewSet(viewsets.ModelViewSet):
queryset = models.AtomicAbsorption.objects.all()
serializer_class = serializers.AtomicAbsorptionSerializer
class SpectrophotometerViewSet(viewsets.ModelViewSet):
queryset = models.Spectrophotometer.objects.all()
serializer_class = serializers.SpectrophotometerSerializer
class ICPViewSet(viewsets.ModelViewSet):
queryset = models.ICP.objects.all()
serializer_class = serializers.ICPSerializer
class FTIRViewSet(viewsets.ModelViewSet):
queryset = models.FTIR.objects.all()
serializer_class = serializers.FTIRSerializer
| 30.241379 | 62 | 0.810718 | 79 | 877 | 8.924051 | 0.392405 | 0.141844 | 0.198582 | 0.241135 | 0.255319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117446 | 877 | 28 | 63 | 31.321429 | 0.910853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
3de8fa45e615d67738e5912e4db14f12ff5e9521 | 249 | py | Python | bin/aaFoamMemoryUsage.py | guillaume-florent/aaFoam | 8e821f13cc0a67f1ba26c3ba74db5512fb288928 | [
"MIT"
] | null | null | null | bin/aaFoamMemoryUsage.py | guillaume-florent/aaFoam | 8e821f13cc0a67f1ba26c3ba74db5512fb288928 | [
"MIT"
] | null | null | null | bin/aaFoamMemoryUsage.py | guillaume-florent/aaFoam | 8e821f13cc0a67f1ba26c3ba74db5512fb288928 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
r"""Memory usage
Run:
> aaFoamMemoryUsage.py -p <PID>
Do not use sudo, the command won't be found.
"""
from aa_foam.memory_usage import memory_usage_main
if __name__ == '__main__':
memory_usage_main()
| 14.647059 | 50 | 0.710843 | 40 | 249 | 4.075 | 0.8 | 0.269939 | 0.184049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004808 | 0.164659 | 249 | 16 | 51 | 15.5625 | 0.778846 | 0.526104 | 0 | 0 | 0 | 0 | 0.073395 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3df97e2c135d9ebb4d270813c26caa54fb5a5fbd | 216 | py | Python | Chapter1/ruler.py | galinadychko/IntroToPython | 14b804f0d7f40e9e8cb515c885d01bdc5f70c627 | [
"MIT"
] | null | null | null | Chapter1/ruler.py | galinadychko/IntroToPython | 14b804f0d7f40e9e8cb515c885d01bdc5f70c627 | [
"MIT"
] | null | null | null | Chapter1/ruler.py | galinadychko/IntroToPython | 14b804f0d7f40e9e8cb515c885d01bdc5f70c627 | [
"MIT"
] | null | null | null | import stdio
ruler1 = "1"
ruler2 = ruler1 + " 2 " + ruler1
ruler3 = ruler2 + " 3 " + ruler2
ruler4 = ruler3 + " 4 " + ruler3
stdio.writeln(ruler1)
stdio.writeln(ruler2)
stdio.writeln(ruler3)
stdio.writeln(ruler4)
| 16.615385 | 32 | 0.680556 | 28 | 216 | 5.25 | 0.392857 | 0.326531 | 0.244898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101695 | 0.180556 | 216 | 12 | 33 | 18 | 0.728814 | 0 | 0 | 0 | 0 | 0 | 0.046296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9a972fa870074164a3182b2cdf422e77610cac35 | 9,624 | py | Python | tests/t10_basic/test_package.py | oscdev-io/ezplugins | 370bb53b7d965f012a1c80fb8c11d49fc60e3660 | [
"MIT"
] | null | null | null | tests/t10_basic/test_package.py | oscdev-io/ezplugins | 370bb53b7d965f012a1c80fb8c11d49fc60e3660 | [
"MIT"
] | null | null | null | tests/t10_basic/test_package.py | oscdev-io/ezplugins | 370bb53b7d965f012a1c80fb8c11d49fc60e3660 | [
"MIT"
] | null | null | null | #
# SPDX-License-Identifier: MIT
#
# Copyright (C) 2019-2021, AllWorldIT.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
# of the Software, and to permit persons to whom the Software is furnished to do
# so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
"""EZPlugins tests."""
from typing import Dict
import ezplugins
from ..base import BaseTest
__all__ = [
"TestPackageBasicFunctionality",
]
class TestPackageBasicFunctionality(BaseTest):
"""Test basic functionality of EZPlugins."""
data: Dict[str, ezplugins.EZPluginManager] = {}
def test_package_load(self) -> None:
"""Test loading of plugins."""
self.data["plugins"] = ezplugins.EZPluginManager()
self.data["plugins"].load_package(self.plugin_path("plugins"))
expected_modules = [
"tests.t10_basic.plugins.plugin1",
"tests.t10_basic.plugins.plugin2",
"tests.t10_basic.plugins.plugin3_plus_4",
"tests.t10_basic.plugins.plugin5_alias",
"tests.t10_basic.plugins.plugin6a_alias",
"tests.t10_basic.plugins.plugin6b_alias",
"tests.t10_basic.plugins.plugin6c_no_alias",
"tests.t10_basic.plugins.plugin7_method_order",
"tests.t10_basic.plugins.plugin8_call_parameters",
"tests.t10_basic.plugins.subplugin.subplugin1",
"tests.t10_basic.plugins.subplugin_init",
"tests.t10_basic.plugins.subsubplugin.thesubsubplugin.subsubplugin1",
]
received_modules = [x.module_name for x in self.data["plugins"].modules]
assert received_modules == expected_modules, "All plugins did not get loaded"
def test_get_single_plugin_from_single_plugin_file(self) -> None:
"""Test getting a single plugin."""
expected_plugins = ["tests.t10_basic.plugins.plugin1#Plugin1"]
received_plugins = [x.fqn for x in self.data["plugins"].get_plugin("tests.t10_basic.plugins.plugin1#Plugin1")]
assert received_plugins == expected_plugins, "We did not get the plugins we should of gotten back"
def test_get_single_plugin_from_multi_plugin_file(self) -> None:
"""Test getting a single plugin from a multi-plugin file."""
expected_plugins = ["tests.t10_basic.plugins.plugin3_plus_4#Plugin3"]
received_plugins = [x.fqn for x in self.data["plugins"].get_plugin("tests.t10_basic.plugins.plugin3_plus_4#Plugin3")]
assert received_plugins == expected_plugins, "We did not get the plugins we should of gotten back"
def test_call_all(self) -> None:
"""Test calling a plugin method from all plugins."""
expected_results = [
(
"tests.t10_basic.plugins.plugin7_method_order#Plugin7b",
"test_func1",
"atests.t10_basic.plugins.plugin7_method_order.tests.t10_basic.plugins.plugin7_method_order#Plugin7b",
),
(
"tests.t10_basic.plugins.plugin1#Plugin1",
"test_func1",
"tests.t10_basic.plugins.plugin1.tests.t10_basic.plugins.plugin1#Plugin1",
),
(
"tests.t10_basic.plugins.plugin2#Plugin2",
"test_func1",
"tests.t10_basic.plugins.plugin2.tests.t10_basic.plugins.plugin2#Plugin2",
),
(
"tests.t10_basic.plugins.plugin3_plus_4#Plugin3",
"test_func1",
"tests.t10_basic.plugins.plugin3_plus_4.tests.t10_basic.plugins.plugin3_plus_4#Plugin3",
),
(
"tests.t10_basic.plugins.plugin3_plus_4#Plugin4",
"test_func1",
"tests.t10_basic.plugins.plugin3_plus_4.tests.t10_basic.plugins.plugin3_plus_4#Plugin4",
),
(
"tests.t10_basic.plugins.plugin5_alias#Plugin5",
"test_func1",
"tests.t10_basic.plugins.plugin5_alias.tests.t10_basic.plugins.plugin5_alias#Plugin5",
),
(
"tests.t10_basic.plugins.plugin6a_alias#Plugin6a",
"test_func1",
"tests.t10_basic.plugins.plugin6a_alias.tests.t10_basic.plugins.plugin6a_alias#Plugin6a",
),
(
"tests.t10_basic.plugins.plugin6b_alias#Plugin6b",
"test_func1",
"tests.t10_basic.plugins.plugin6b_alias.tests.t10_basic.plugins.plugin6b_alias#Plugin6b",
),
(
"tests.t10_basic.plugins.plugin6c_no_alias#Plugin6c",
"test_func1",
"tests.t10_basic.plugins.plugin6c_no_alias.tests.t10_basic.plugins.plugin6c_no_alias#Plugin6c",
),
(
"tests.t10_basic.plugins.subplugin.subplugin1#SubPlugin1",
"test_func1",
"tests.t10_basic.plugins.subplugin.subplugin1.tests.t10_basic.plugins.subplugin.subplugin1#SubPlugin1",
),
(
"tests.t10_basic.plugins.subplugin_init#SubPluginInit1",
"test_func1",
"tests.t10_basic.plugins.subplugin_init.tests.t10_basic.plugins.subplugin_init#SubPluginInit1",
),
(
"tests.t10_basic.plugins.subsubplugin.thesubsubplugin.subsubplugin1#SubSubPlugin1",
"test_func1",
"tests.t10_basic.plugins.subsubplugin.thesubsubplugin.subsubplugin1.tests.t10_basic.plugins."
"subsubplugin.thesubsubplugin.subsubplugin1#SubSubPlugin1",
),
(
"tests.t10_basic.plugins.plugin7_method_order#Plugin7a",
"test_func1",
"tests.t10_basic.plugins.plugin7_method_order.tests.t10_basic.plugins.plugin7_method_order#Plugin7a",
),
]
received_results = []
for method, plugin in self.data["plugins"].methods(where_name="test_func1"):
result = method.run()
# Save plugin results with a name
received_results.append((plugin.fqn, method.name, result))
assert received_results == expected_results, "Results don't match what they should"
def test_call_with_plugin_fqn(self) -> None:
"""Test calling a plugin method using a fully qualified plugin name."""
expected_results = [
(
"tests.t10_basic.plugins.plugin1#Plugin1",
"test_func1",
"tests.t10_basic.plugins.plugin1.tests.t10_basic.plugins.plugin1#Plugin1",
),
]
received_results = []
for method, plugin in self.data["plugins"].methods(
where_name="test_func1", from_plugin="tests.t10_basic.plugins.plugin1#Plugin1"
):
result = method.run()
# Save plugin results with a name
received_results.append((plugin.fqn, method.name, result))
assert received_results == expected_results, "Results don't match what they should"
def test_call_with_plugin_name(self) -> None:
"""Test calling a plugin method using a plugin name."""
expected_results = [
(
"tests.t10_basic.plugins.plugin1#Plugin1",
"test_func1",
"tests.t10_basic.plugins.plugin1.tests.t10_basic.plugins.plugin1#Plugin1",
),
]
received_results = []
for method, plugin in self.data["plugins"].methods(where_name="test_func1", from_plugin="#Plugin1"):
result = method.run()
# Save plugin results with a name
received_results.append((plugin.fqn, method.name, result))
assert received_results == expected_results, "Results don't match what they should"
def test_call_with_plugin_alias(self) -> None:
"""Test calling a plugin method using a plugin alias."""
expected_results = [
(
"tests.t10_basic.plugins.plugin6a_alias#Plugin6a",
"test_func1",
"tests.t10_basic.plugins.plugin6a_alias.tests.t10_basic.plugins.plugin6a_alias#Plugin6a",
),
(
"tests.t10_basic.plugins.plugin6b_alias#Plugin6b",
"test_func1",
"tests.t10_basic.plugins.plugin6b_alias.tests.t10_basic.plugins.plugin6b_alias#Plugin6b",
),
]
received_results = []
for method, plugin in self.data["plugins"].methods(where_name="test_func1", from_plugin="plugin6"):
result = method.run()
# Save plugin results with a name
received_results.append((plugin.fqn, method.name, result))
assert received_results == expected_results, "Results don't match what they should"
| 42.396476 | 125 | 0.635495 | 1,089 | 9,624 | 5.40404 | 0.172635 | 0.092438 | 0.173322 | 0.227698 | 0.752251 | 0.752251 | 0.716228 | 0.64384 | 0.562787 | 0.524894 | 0 | 0.039474 | 0.265586 | 9,624 | 226 | 126 | 42.584071 | 0.793152 | 0.165732 | 0 | 0.451613 | 0 | 0.006452 | 0.456899 | 0.385147 | 0 | 0 | 0 | 0 | 0.045161 | 1 | 0.045161 | false | 0 | 0.019355 | 0 | 0.077419 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9a9f88831ddf1e7558324a38f531ae336b5ff116 | 236 | py | Python | helpers/db.py | KBA07/stylor-web-backend | 9ef4ade46c81f3d48a63d78227db9dc645989ad4 | [
"MIT"
] | null | null | null | helpers/db.py | KBA07/stylor-web-backend | 9ef4ade46c81f3d48a63d78227db9dc645989ad4 | [
"MIT"
] | null | null | null | helpers/db.py | KBA07/stylor-web-backend | 9ef4ade46c81f3d48a63d78227db9dc645989ad4 | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from models.inventory import Base
from conf.settings import config
def load_db():
engine = create_engine(config.SQLITE_PREFIX + config.SQLITEDB, echo=True)
Base.metadata.create_all(engine)
| 26.222222 | 77 | 0.79661 | 33 | 236 | 5.545455 | 0.636364 | 0.131148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131356 | 236 | 8 | 78 | 29.5 | 0.892683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.5 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
9aaf56d14e43f0e585ab823d2165fdd1dfd6cb2a | 3,867 | py | Python | Contents/Libraries/Shared/rebulk/utils.py | jippo015/Sub-Zero.bundle | 734e0f7128c05c0f639e11e7dfc77daa1014064b | [
"MIT"
] | 1,553 | 2015-11-09T02:17:06.000Z | 2022-03-31T20:24:52.000Z | Contents/Libraries/Shared/rebulk/utils.py | saiterlz/Sub-Zero.bundle | 1a0bb9c3e4be84be35d46672907783363fe5a87b | [
"MIT"
] | 691 | 2015-11-05T21:32:26.000Z | 2022-03-17T10:52:45.000Z | Contents/Libraries/Shared/rebulk/utils.py | saiterlz/Sub-Zero.bundle | 1a0bb9c3e4be84be35d46672907783363fe5a87b | [
"MIT"
] | 162 | 2015-11-06T19:38:55.000Z | 2022-03-16T02:42:41.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Various utilities functions
"""
from collections import MutableSet
from types import GeneratorType
def find_all(string, sub, start=None, end=None, ignore_case=False, **kwargs):
"""
Return all indices in string s where substring sub is
found, such that sub is contained in the slice s[start:end].
>>> list(find_all('The quick brown fox jumps over the lazy dog', 'fox'))
[16]
>>> list(find_all('The quick brown fox jumps over the lazy dog', 'mountain'))
[]
>>> list(find_all('The quick brown fox jumps over the lazy dog', 'The'))
[0]
>>> list(find_all(
... 'Carved symbols in a mountain hollow on the bank of an inlet irritated an eccentric person',
... 'an'))
[44, 51, 70]
>>> list(find_all(
... 'Carved symbols in a mountain hollow on the bank of an inlet irritated an eccentric person',
... 'an',
... 50,
... 60))
[51]
:param string: the input string
:type string: str
:param sub: the substring
:type sub: str
:return: all indices in the input string
:rtype: __generator[str]
"""
#pylint: disable=unused-argument
if ignore_case:
sub = sub.lower()
string = string.lower()
while True:
start = string.find(sub, start, end)
if start == -1:
return
yield start
start += len(sub)
def get_first_defined(data, keys, default_value=None):
"""
Get the first defined key in data.
:param data:
:type data:
:param keys:
:type keys:
:param default_value:
:type default_value:
:return:
:rtype:
"""
for key in keys:
if key in data:
return data[key]
return default_value
def is_iterable(obj):
"""
Are we being asked to look up a list of things, instead of a single thing?
We check for the `__iter__` attribute so that this can cover types that
don't have to be known by this module, such as NumPy arrays.
Strings, however, should be considered as atomic values to look up, not
iterables.
We don't need to check for the Python 2 `unicode` type, because it doesn't
have an `__iter__` attribute anyway.
"""
# pylint: disable=consider-using-ternary
return hasattr(obj, '__iter__') and not isinstance(obj, str) or isinstance(obj, GeneratorType)
def extend_safe(target, source):
"""
Extends source list to target list only if elements doesn't exists in target list.
:param target:
:type target: list
:param source:
:type source: list
"""
for elt in source:
if elt not in target:
target.append(elt)
class _Ref(object):
"""
Reference for IdentitySet
"""
def __init__(self, value):
self.value = value
def __eq__(self, other):
return self.value is other.value
def __hash__(self):
return id(self.value)
class IdentitySet(MutableSet): # pragma: no cover
"""
Set based on identity
"""
def __init__(self, items=None): # pylint: disable=super-init-not-called
if items is None:
items = []
self.refs = set(map(_Ref, items))
def __contains__(self, elem):
return _Ref(elem) in self.refs
def __iter__(self):
return (ref.value for ref in self.refs)
def __len__(self):
return len(self.refs)
def add(self, value):
self.refs.add(_Ref(value))
def discard(self, value):
self.refs.discard(_Ref(value))
def update(self, iterable):
"""
Update set with iterable
:param iterable:
:type iterable:
:return:
:rtype:
"""
for elem in iterable:
self.add(elem)
def __repr__(self): # pragma: no cover
return "%s(%s)" % (type(self).__name__, list(self))
| 25.11039 | 100 | 0.610034 | 524 | 3,867 | 4.366412 | 0.354962 | 0.018357 | 0.024038 | 0.018357 | 0.136364 | 0.136364 | 0.136364 | 0.136364 | 0.136364 | 0.136364 | 0 | 0.006472 | 0.280838 | 3,867 | 153 | 101 | 25.27451 | 0.816253 | 0.475304 | 0 | 0 | 0 | 0 | 0.008206 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.04 | 0.12 | 0.58 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
9ab203f2836522c8acb4529186fdb3bda06d6703 | 1,319 | py | Python | backend/restapi/models/workspace.py | IlluminateMedia/prompts-ai | 04723f21f165811ab784f8eebab10b7df2d02075 | [
"MIT"
] | null | null | null | backend/restapi/models/workspace.py | IlluminateMedia/prompts-ai | 04723f21f165811ab784f8eebab10b7df2d02075 | [
"MIT"
] | null | null | null | backend/restapi/models/workspace.py | IlluminateMedia/prompts-ai | 04723f21f165811ab784f8eebab10b7df2d02075 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.translation import gettext_lazy as _
from .custom_model import CustomModel
class Workspace(models.Model):
name = models.CharField(max_length=255, blank=False)
custom_model = models.ForeignKey(
CustomModel, related_name="workspaces", on_delete=models.CASCADE, blank=True
)
temperature = models.CharField(max_length=255, blank=False)
max_tokens = models.CharField(max_length=255, blank=False)
top_p = models.CharField(max_length=255, blank=False)
best_of = models.CharField(max_length=255, blank=False)
n = models.CharField(max_length=255, blank=False)
presence_penalty = models.CharField(max_length=255, blank=False)
frequency_penalty = models.CharField(max_length=255, blank=False)
stop_symbols = models.JSONField(default=dict)
prompt = models.TextField(blank=True, null=True)
airtable_base = models.CharField(max_length=255, blank=False, default="")
airtable_table = models.CharField(max_length=255, blank=False, default="")
airtable_name = models.CharField(max_length=255, blank=False, default="")
category = models.CharField(max_length=255, blank=False, default="")
airtable_api_key = models.CharField(max_length=255, blank=False, default="")
class Meta:
app_label = "restapi"
| 45.482759 | 84 | 0.747536 | 173 | 1,319 | 5.520231 | 0.32948 | 0.204188 | 0.245026 | 0.326702 | 0.588482 | 0.588482 | 0.588482 | 0.394764 | 0.163351 | 0 | 0 | 0.034392 | 0.140258 | 1,319 | 28 | 85 | 47.107143 | 0.80776 | 0 | 0 | 0 | 0 | 0 | 0.012889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.875 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9ab812fd8f6ebcd646319c010e0616cd8af10408 | 1,675 | py | Python | fs_image/rpm/storage/s3_storage.py | singhaditya28/fs_image | 3d122da48eab8b26e5add6754cc1f91296139c58 | [
"MIT"
] | null | null | null | fs_image/rpm/storage/s3_storage.py | singhaditya28/fs_image | 3d122da48eab8b26e5add6754cc1f91296139c58 | [
"MIT"
] | null | null | null | fs_image/rpm/storage/s3_storage.py | singhaditya28/fs_image | 3d122da48eab8b26e5add6754cc1f91296139c58 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from typing import List
from .cli_object_storage import CLIObjectStorage
class S3Storage(CLIObjectStorage, plugin_kind='s3'):
AWS_S3_BUCKET = 's3://AWS_S3_BUCKET'
AWS_ACCESS_KEY_ID = 'AWS_ACCESS_KEY_ID'
AWS_SECRET_ACCESS_KEY = 'AWS_SECRET_ACCESS_KEY'
def __init__(self, *, key: str, timeout_seconds: float=400):
self.key = key
self.timeout_seconds = timeout_seconds
def _path_for_storage_id(self, sid: str) -> str:
return os.path.join(self.AWS_S3_BUCKET, 'flat', sid)
def _base_cmd(self, *args) -> List[str]:
return [
'aws', 's3',
'--cli-read-timeout', str(self.timeout_seconds),
'--cli-connect-timeout', str(self.timeout_seconds),
*args,
]
def _read_cmd(self, *args, path: str) -> List[str]:
return self._base_cmd(*args) + ['cp', path, '-']
def _write_cmd(self, *args, path: str) -> List[str]:
return self._base_cmd(*args) + ['cp', '-', path]
def _remove_cmd(self, *args, path: str) -> List[str]:
return self._base_cmd(*args) + ['rm', path]
def _exists_cmd(self, *args, path: str) -> List[str]:
return self._base_cmd(*args) + ['ls', path]
def _configured_env(self):
# Configure env with AWS credentials
env = os.environ.copy()
env['AWS_ACCESS_KEY_ID'] = self.AWS_ACCESS_KEY_ID
env['AWS_SECRET_ACCESS_KEY'] = self.AWS_SECRET_ACCESS_KEY
return env
| 31.603774 | 65 | 0.641194 | 234 | 1,675 | 4.307692 | 0.333333 | 0.071429 | 0.054563 | 0.055556 | 0.286706 | 0.200397 | 0.200397 | 0.200397 | 0.200397 | 0.200397 | 0 | 0.008507 | 0.22806 | 1,675 | 52 | 66 | 32.211538 | 0.771075 | 0.134328 | 0 | 0 | 0 | 0 | 0.106648 | 0.043629 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.09375 | 0.1875 | 0.6875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
9abefab0ff261d7cb4a6141faaabafe7c7e2a6d2 | 661 | py | Python | Authentication/module/customAuth.py | farazjalili/AuthenticationDjango | ffd43166fd31a4010dc044f8f2fa9b6000a1a8b3 | [
"Apache-2.0"
] | null | null | null | Authentication/module/customAuth.py | farazjalili/AuthenticationDjango | ffd43166fd31a4010dc044f8f2fa9b6000a1a8b3 | [
"Apache-2.0"
] | 13 | 2020-02-12T03:00:54.000Z | 2022-03-02T06:31:24.000Z | Authentication/module/customAuth.py | farazjalili/AuthenticationDjango | ffd43166fd31a4010dc044f8f2fa9b6000a1a8b3 | [
"Apache-2.0"
] | null | null | null | from
from django.db.models import Q
class customeAuth(object):
supports_object_permissions = True
supports_anonymous_user = False
supports_inactive_user = False
def get_user(self, user_id):
try:
return UserProfile.objects.get(pk=user_id)
except UserProfile.DoesNotExist:
return None
def authenticate(self, username, password):
try:
user = UserProfile.objects.get(
Q(username=username) | Q(email=username) | Q(phone=username)
)
except UserProfile.DoesNotExist:
return None
return user if user.check_password(password) else None | 27.541667 | 76 | 0.65053 | 74 | 661 | 5.675676 | 0.486486 | 0.042857 | 0.1 | 0.166667 | 0.185714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.278366 | 661 | 24 | 77 | 27.541667 | 0.880503 | 0 | 0 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.105263 | 0.052632 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
9ad7cae380bdc9d1af0beb8dc2fa304f5be2c20b | 143 | py | Python | gym-witches-multiv2/gym_witches_multiv2/__init__.py | CesMak/gyms | b5a3a0e90b0bc407029fe26e115bc9f9de1044e1 | [
"BSD-3-Clause"
] | 1 | 2021-01-25T01:43:49.000Z | 2021-01-25T01:43:49.000Z | gym-witches-multiv2/gym_witches_multiv2/__init__.py | CesMak/gyms | b5a3a0e90b0bc407029fe26e115bc9f9de1044e1 | [
"BSD-3-Clause"
] | null | null | null | gym-witches-multiv2/gym_witches_multiv2/__init__.py | CesMak/gyms | b5a3a0e90b0bc407029fe26e115bc9f9de1044e1 | [
"BSD-3-Clause"
] | null | null | null | from gym.envs.registration import register
register(
id='Witches_multi-v2',
entry_point='gym_witches_multiv2.envs:WitchesEnvMulti',
)
| 20.428571 | 59 | 0.776224 | 18 | 143 | 5.944444 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015873 | 0.118881 | 143 | 6 | 60 | 23.833333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.391608 | 0.27972 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9af6a8dc1f95f636b5ae6c1fa9e2c378bb138b98 | 179 | py | Python | mayan/apps/task_manager/workers.py | sophiawa/Mayan-EDMS | 42f20576d0c690b645a60bf53c5169cda4264231 | [
"Apache-2.0"
] | 1 | 2021-02-24T15:03:23.000Z | 2021-02-24T15:03:23.000Z | mayan/apps/task_manager/workers.py | sophiawa/Mayan-EDMS | 42f20576d0c690b645a60bf53c5169cda4264231 | [
"Apache-2.0"
] | 10 | 2021-03-20T00:01:17.000Z | 2022-03-12T00:48:43.000Z | mayan/apps/task_manager/workers.py | sophiawa/Mayan-EDMS | 42f20576d0c690b645a60bf53c5169cda4264231 | [
"Apache-2.0"
] | 1 | 2021-04-30T09:43:52.000Z | 2021-04-30T09:43:52.000Z | from .classes import Worker
worker_fast = Worker(name='fast', nice_level=1)
worker_medium = Worker(name='medium', nice_level=18)
worker_slow = Worker(name='slow', nice_level=19)
| 29.833333 | 52 | 0.765363 | 28 | 179 | 4.678571 | 0.464286 | 0.229008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030864 | 0.094972 | 179 | 5 | 53 | 35.8 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.078212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9afe2e5c0a8f19d964d3da3f5e4b2c19a251ff11 | 138 | py | Python | gridfs_storage/apps.py | Kingjmk/django-gridfs-storage | 7b78e25669accea2bd39d96c31f097ce42cdbc9c | [
"MIT"
] | 4 | 2020-08-28T09:52:19.000Z | 2022-01-01T16:51:15.000Z | gridfs_storage/apps.py | Kingjmk/django-gridfs-storage | 7b78e25669accea2bd39d96c31f097ce42cdbc9c | [
"MIT"
] | null | null | null | gridfs_storage/apps.py | Kingjmk/django-gridfs-storage | 7b78e25669accea2bd39d96c31f097ce42cdbc9c | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class GridFsStorageConfig(AppConfig):
name = 'gridfs_storage'
verbose_name = "GridFS Storage"
| 19.714286 | 37 | 0.76087 | 15 | 138 | 6.866667 | 0.733333 | 0.194175 | 0.330097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 138 | 6 | 38 | 23 | 0.895652 | 0 | 0 | 0 | 0 | 0 | 0.202899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b10b0e378964dd4ed54b70372b8399be3da921fa | 186 | py | Python | main.py | Andrew2a1/BillAnalyzer | 381b217d0609c3184ca43020e0d98eb18763ba2c | [
"MIT"
] | 2 | 2020-09-03T01:05:32.000Z | 2022-02-02T21:13:32.000Z | main.py | Andrew2a1/ShoplistAnalyzer | 381b217d0609c3184ca43020e0d98eb18763ba2c | [
"MIT"
] | null | null | null | main.py | Andrew2a1/ShoplistAnalyzer | 381b217d0609c3184ca43020e0d98eb18763ba2c | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
import kivy
from gui.Application import Application
if __name__ == "__main__":
app = Application()
app.title = "Shoplist Analyzer"
app.run() | 20.666667 | 40 | 0.629032 | 21 | 186 | 5.190476 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007042 | 0.236559 | 186 | 9 | 41 | 20.666667 | 0.760563 | 0.112903 | 0 | 0 | 0 | 0 | 0.160256 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
b10dc578791af7b4a912678b367ea833a682febb | 847 | py | Python | xknx/io/__init__.py | cyberjunky/xknx | c708ed6a2ca6449b74c6cea197d658e3399b99d1 | [
"MIT"
] | 1 | 2020-12-27T13:54:34.000Z | 2020-12-27T13:54:34.000Z | xknx/io/__init__.py | cyberjunky/xknx | c708ed6a2ca6449b74c6cea197d658e3399b99d1 | [
"MIT"
] | 1 | 2019-01-06T11:40:16.000Z | 2019-01-06T11:40:16.000Z | xknx/io/__init__.py | cyberjunky/xknx | c708ed6a2ca6449b74c6cea197d658e3399b99d1 | [
"MIT"
] | null | null | null | """
This package contains all objects managing Tunneling and Routing Connections..
- KNXIPInterface is the overall managing class.
- GatewayScanner searches for available KNX/IP devices in the local network.
- Routing uses UDP/Multicast to communicate with KNX/IP device.
- Tunnelling uses UDP packets and builds a static tunnel with KNX/IP device.
"""
# flake8: noqa
from .connect import Connect
from .connectionstate import ConnectionState
from .const import DEFAULT_MCAST_GRP, DEFAULT_MCAST_PORT
from .disconnect import Disconnect
from .gateway_scanner import GatewayScanFilter, GatewayScanner
from .knxip_interface import ConnectionConfig, ConnectionType, KNXIPInterface
from .request_response import RequestResponse
from .routing import Routing
from .tunnel import Tunnel
from .tunnelling import Tunnelling
from .udp_client import UDPClient
| 40.333333 | 78 | 0.83353 | 108 | 847 | 6.462963 | 0.574074 | 0.02149 | 0.025788 | 0.04298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001346 | 0.122786 | 847 | 20 | 79 | 42.35 | 0.938089 | 0.423849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
b115482dbfe395dade2cd2ecdff3d515b73f1b0e | 215 | py | Python | backend/myapp/__main__.py | jscriptcoder/Docker-development | 411e66465e11e451c87f375b005feb50f5a15b3d | [
"MIT"
] | null | null | null | backend/myapp/__main__.py | jscriptcoder/Docker-development | 411e66465e11e451c87f375b005feb50f5a15b3d | [
"MIT"
] | null | null | null | backend/myapp/__main__.py | jscriptcoder/Docker-development | 411e66465e11e451c87f375b005feb50f5a15b3d | [
"MIT"
] | null | null | null | from .app import create as create_app
if __name__ == '__main__':
app = create_app()
app.run(debug=app.config['RUN_DEBUG'],
host=app.config['APP_HOST'],
port=app.config['APP_PORT'])
| 23.888889 | 42 | 0.618605 | 30 | 215 | 4 | 0.433333 | 0.225 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.232558 | 215 | 8 | 43 | 26.875 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0.153488 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b1330a1ad95dcc20e0c54e7bd0966703c47db569 | 583 | py | Python | app/search_manager/models.py | kodizh/fotos | 87f6e95876451e80d8ea5ebcea8ed7f33b957694 | [
"BSD-3-Clause"
] | null | null | null | app/search_manager/models.py | kodizh/fotos | 87f6e95876451e80d8ea5ebcea8ed7f33b957694 | [
"BSD-3-Clause"
] | null | null | null | app/search_manager/models.py | kodizh/fotos | 87f6e95876451e80d8ea5ebcea8ed7f33b957694 | [
"BSD-3-Clause"
] | null | null | null | from .views.search import search_views
from os import walk
class SearchManager:
def __init__(self, app):
self.bp = search_views(self, app.socketio)
self.appmoduleslist = app.appmodules
def get_name(self):
return "search_manager"
def get_blueprint(self):
return self.bp
def list_pics(self, querypath):
picslist = []
for (dirpath, dirnames, filenames) in walk(querypath):
for file in filenames:
picslist.append({"name": file, "album": querypath})
break
return picslist
| 26.5 | 67 | 0.624357 | 67 | 583 | 5.283582 | 0.507463 | 0.062147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.286449 | 583 | 21 | 68 | 27.761905 | 0.850962 | 0 | 0 | 0 | 0 | 0 | 0.039451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.117647 | 0.117647 | 0.588235 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
b134e51bb5785c5bc56e5d3a6e4b57ef84478dde | 299 | py | Python | respyte/tests/test_respyte.py | hyejang/respyte | 8d48d04754051ea18224f1c5fa8637b17da6d5b2 | [
"BSD-3-Clause"
] | null | null | null | respyte/tests/test_respyte.py | hyejang/respyte | 8d48d04754051ea18224f1c5fa8637b17da6d5b2 | [
"BSD-3-Clause"
] | 1 | 2019-01-22T02:05:34.000Z | 2019-01-22T02:07:33.000Z | respyte/tests/test_respyte.py | hyejang/respyte | 8d48d04754051ea18224f1c5fa8637b17da6d5b2 | [
"BSD-3-Clause"
] | 1 | 2019-01-22T00:51:26.000Z | 2019-01-22T00:51:26.000Z | """
Unit and regression test for the respyte package.
"""
# Import package, test suite, and other packages as needed
import respyte
import pytest
import sys
def test_respyte_imported():
"""Sample test, will always pass so long as import statement worked"""
assert "respyte" in sys.modules
| 23 | 74 | 0.745819 | 43 | 299 | 5.139535 | 0.674419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177258 | 299 | 12 | 75 | 24.916667 | 0.898374 | 0.575251 | 0 | 0 | 0 | 0 | 0.061404 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | true | 0 | 0.8 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
b13fc2a054ed799fe63df9bec7be1f8a09878114 | 7,437 | py | Python | faker/providers/phone_number/en_GB/__init__.py | mgorny/faker | b1176e01bf4d7f1aef408a4bb96a9e46188cc113 | [
"MIT"
] | 12,077 | 2015-01-01T18:30:07.000Z | 2022-03-31T23:22:01.000Z | faker/providers/phone_number/en_GB/__init__.py | mgorny/faker | b1176e01bf4d7f1aef408a4bb96a9e46188cc113 | [
"MIT"
] | 1,306 | 2015-01-03T05:18:55.000Z | 2022-03-31T02:43:04.000Z | faker/providers/phone_number/en_GB/__init__.py | mgorny/faker | b1176e01bf4d7f1aef408a4bb96a9e46188cc113 | [
"MIT"
] | 1,855 | 2015-01-08T14:20:10.000Z | 2022-03-25T17:23:32.000Z | from .. import Provider as PhoneNumberProvider
class Provider(PhoneNumberProvider):
# Source:
# https://en.wikipedia.org/wiki/Telephone_numbers_in_the_United_Kingdom
# Fake phone numbers should be fake - this provider has been rewritten to
# use numbers reserved for dramatic use by Ofcom. See the following:
# https://en.wikipedia.org/wiki/Fictitious_telephone_number#United_Kingdom
# This ensures no genuine numbers are generated at random.
#
# It's worth noting that the following examples include incorrect notation
# of British phone numbers. +44(0)xxx is incorrect and the '(0)' should
# be omitted. However, it's commonly written this way by Joe Public
# and would better serve this project to be included, as it represents
# more realistic data and is of benefit to those developing data cleansing
# tools etc. All possible official fake numbers are covered below.
cellphone_formats = (
'07700 900 ###',
'07700 900###',
'07700900###',
'(07700) 900 ###',
'(07700) 900###',
'(07700)900###',
'+447700 900 ###',
'+447700 900###',
'+447700900###',
'+44(0)7700 900 ###',
'+44(0)7700 900###',
'+44(0)7700900###',
)
formats = (
'0113 496 0###',
'0113 4960###',
'01134960###',
'(0113) 496 0###',
'(0113) 4960###',
'(0113)4960###',
'+44113 496 0###',
'+44113 4960###',
'+441134960###',
'+44(0)113 496 0###',
'+44(0)113 4960###',
'+44(0)1134960###',
'0114 496 0###',
'0114 4960###',
'01144960###',
'(0114) 496 0###',
'(0114) 4960###',
'(0114)4960###',
'+44114 496 0###',
'+44114 4960###',
'+441144960###',
'+44(0)114 496 0###',
'+44(0)114 4960###',
'+44(0)1144960###',
'0115 496 0###',
'0115 4960###',
'01154960###',
'(0115) 496 0###',
'(0115) 4960###',
'(0115)4960###',
'+44115 496 0###',
'+44115 4960###',
'+441154960###',
'+44(0)115 496 0###',
'+44(0)115 4960###',
'+44(0)1154960###',
'0116 496 0###',
'0116 4960###',
'01164960###',
'(0116) 496 0###',
'(0116) 4960###',
'(0116)4960###',
'+44116 496 0###',
'+44116 4960###',
'+441164960###',
'+44(0)116 496 0###',
'+44(0)116 4960###',
'+44(0)1164960###',
'0117 496 0###',
'0117 4960###',
'01174960###',
'(0117) 496 0###',
'(0117) 4960###',
'(0117)4960###',
'+44117 496 0###',
'+44117 4960###',
'+441174960###',
'+44(0)117 496 0###',
'+44(0)117 4960###',
'+44(0)1174960###',
'0118 496 0###',
'0118 4960###',
'01184960###',
'(0118) 496 0###',
'(0118) 4960###',
'(0118)4960###',
'+44118 496 0###',
'+44118 4960###',
'+441184960###',
'+44(0)118 496 0###',
'+44(0)118 4960###',
'+44(0)1184960###',
'0121 496 0###',
'0121 4960###',
'01214960###',
'(0121) 496 0###',
'(0121) 4960###',
'(0121)4960###',
'+44121 496 0###',
'+44121 4960###',
'+441214960###',
'+44(0)121 496 0###',
'+44(0)121 4960###',
'+44(0)1214960###',
'0131 496 0###',
'0131 4960###',
'01314960###',
'(0131) 496 0###',
'(0131) 4960###',
'(0131)4960###',
'+44131 496 0###',
'+44131 4960###',
'+441314960###',
'+44(0)131 496 0###',
'+44(0)131 4960###',
'+44(0)1314960###',
'0141 496 0###',
'0141 4960###',
'01414960###',
'(0141) 496 0###',
'(0141) 4960###',
'(0141)4960###',
'+44141 496 0###',
'+44141 4960###',
'+441414960###',
'+44(0)141 496 0###',
'+44(0)141 4960###',
'+44(0)1414960###',
'0151 496 0###',
'0151 4960###',
'01514960###',
'(0151) 496 0###',
'(0151) 4960###',
'(0151)4960###',
'+44151 496 0###',
'+44151 4960###',
'+441514960###',
'+44(0)151 496 0###',
'+44(0)151 4960###',
'+44(0)1514960###',
'0161 496 0###',
'0161 4960###',
'01614960###',
'(0161) 496 0###',
'(0161) 4960###',
'(0161)4960###',
'+44161 496 0###',
'+44161 4960###',
'+441614960###',
'+44(0)161 496 0###',
'+44(0)161 4960###',
'+44(0)1614960###',
'0191 498 0###',
'0191 4960###',
'01914960###',
'(0191) 496 0###',
'(0191) 4960###',
'(0191)4960###',
'+44191 496 0###',
'+44191 4960###',
'+441914960###',
'+44(0)191 496 0###',
'+44(0)191 4960###',
'+44(0)1914960###',
'020 7946 0###',
'020 74960###',
'02074960###',
'(020) 7496 0###',
'(020) 74960###',
'(020)74960###',
'+4420 7496 0###',
'+4420 74960###',
'+442074960###',
'+44(0)20 7496 0###',
'+44(0)20 74960###',
'+44(0)2074960###',
'028 9018 0###',
'028 9018###',
'0289018###',
'(028) 9018 0###',
'(028) 9018###',
'(028)9018###',
'+4428 9018 0###',
'+4428 9018###',
'+44289018###',
'+44(0)28 9018 0###',
'+44(0)28 9018###',
'+44(0)289018###',
'029 2018 0###',
'029 2018###',
'0292018###',
'(029) 2018 0###',
'(029) 2018###',
'(029)2018###',
'+4429 2018 0###',
'+4429 2018###',
'+44292018###',
'+44(0)29 2018 0###',
'+44(0)29 2018###',
'+44(0)292018###',
'01632 960 ###',
'01632 960###',
'01632960###',
'(01632) 960 ###',
'(01632) 960###',
'(01632)960###',
'+441632 960 ###',
'+441632 960###',
'+441632960###',
'+44(0)1632 960 ###',
'+44(0)1632 960###',
'+44(0)1632960###',
'0306 999 0###',
'0306 9990###',
'03069990###',
'(0306) 999 0###',
'(0306) 9990###',
'(0306)9990###',
'+44306 999 0###',
'+44306 9990###',
'+443069990###',
'+44(0)306 999 0###',
'+44(0)306 9990###',
'+44(0)3069990###',
'0808 157 0###',
'0808 1570###',
'08081570###',
'(0808) 157 0###',
'(0808) 1570###',
'(0808)1570###',
'+44808 157 0###',
'+44808 1570###',
'+448081570###',
'+44(0)808 157 0###',
'+44(0)808 1570###',
'+44(0)8081570###',
'0909 879 0###',
'0909 8790###',
'09098790###',
'(0909) 879 0###',
'(0909) 8790###',
'(0909)8790###',
'+44909 879 0###',
'+44909 8790###',
'+449098790###',
'+44(0)909 879 0###',
'+44(0)909 8790###',
'+44(0)9098790###',
)
def cellphone_number(self) -> str:
pattern: str = self.random_element(self.cellphone_formats)
return self.numerify(self.generator.parse(pattern))
| 27.75 | 78 | 0.393035 | 767 | 7,437 | 3.795306 | 0.305085 | 0.062865 | 0.024734 | 0.028856 | 0.206115 | 0.015802 | 0 | 0 | 0 | 0 | 0 | 0.435 | 0.354578 | 7,437 | 267 | 79 | 27.853933 | 0.171458 | 0.10273 | 0 | 0.923695 | 0 | 0 | 0.511265 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004016 | false | 0 | 0.004016 | 0 | 0.024096 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b1575da1dbe25739a7d10f212a7c1ac852de537d | 375 | py | Python | libs/src/test/python/dlpx/virtualization/test_delphix_libs_generated.py | vr-delphix/virtualization-sdk | ebf934c9eb1337b35f7eb34e807af63ea259da6a | [
"Apache-2.0"
] | 10 | 2020-01-08T22:34:20.000Z | 2022-02-24T17:19:54.000Z | libs/src/test/python/dlpx/virtualization/test_delphix_libs_generated.py | vr-delphix/virtualization-sdk | ebf934c9eb1337b35f7eb34e807af63ea259da6a | [
"Apache-2.0"
] | 298 | 2019-12-18T00:20:13.000Z | 2022-03-30T04:36:57.000Z | libs/src/test/python/dlpx/virtualization/test_delphix_libs_generated.py | vr-delphix/virtualization-sdk | ebf934c9eb1337b35f7eb34e807af63ea259da6a | [
"Apache-2.0"
] | 30 | 2019-12-13T19:53:38.000Z | 2022-03-05T14:54:54.000Z | #
# Copyright (c) 2019 by Delphix. All rights reserved.
#
from google.protobuf import message
def test_import_common():
from dlpx.virtualization.api import common_pb2
assert issubclass(common_pb2.Repository, message.Message)
def test_import_libs():
from dlpx.virtualization.api import libs_pb2
assert issubclass(libs_pb2.RunSyncRequest, message.Message)
| 23.4375 | 63 | 0.781333 | 49 | 375 | 5.816327 | 0.510204 | 0.070175 | 0.098246 | 0.140351 | 0.217544 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024922 | 0.144 | 375 | 15 | 64 | 25 | 0.862928 | 0.136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0.285714 | true | 0 | 0.714286 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
b15e9019bf53f5be86afcdcc52a8071123908a1b | 1,194 | py | Python | survae/distributions/conditional/categorical.py | alisiahkoohi/survae_flows | e1747b05524c7ab540a211ed360ab3e67bc3e96d | [
"MIT"
] | 262 | 2020-07-05T20:57:44.000Z | 2022-03-28T02:24:43.000Z | survae/distributions/conditional/categorical.py | alisiahkoohi/survae_flows | e1747b05524c7ab540a211ed360ab3e67bc3e96d | [
"MIT"
] | 17 | 2020-08-15T05:43:34.000Z | 2022-01-31T12:24:21.000Z | survae/distributions/conditional/categorical.py | alisiahkoohi/survae_flows | e1747b05524c7ab540a211ed360ab3e67bc3e96d | [
"MIT"
] | 35 | 2020-08-24T06:55:37.000Z | 2022-02-11T05:17:58.000Z | import torch
from torch.distributions import Categorical
from survae.distributions.conditional import ConditionalDistribution
from survae.utils import sum_except_batch
class ConditionalCategorical(ConditionalDistribution):
"""A Categorical distribution with conditional logits."""
def __init__(self, net):
super(ConditionalCategorical, self).__init__()
self.net = net
def cond_dist(self, context):
logits = self.net(context)
return Categorical(logits=logits)
def log_prob(self, x, context):
dist = self.cond_dist(context)
return sum_except_batch(dist.log_prob(x))
def sample(self, context):
dist = self.cond_dist(context)
return dist.sample()
def sample_with_log_prob(self, context):
dist = self.cond_dist(context)
z = dist.sample()
log_prob = dist.log_prob(z)
log_prob = sum_except_batch(log_prob)
return z, log_prob
def logits(self, context):
return self.cond_dist(context).logits
def probs(self, context):
return self.cond_dist(context).probs
def mode(self, context):
return self.cond_dist(context).logits.argmax(-1)
| 29.121951 | 68 | 0.688442 | 148 | 1,194 | 5.344595 | 0.243243 | 0.070796 | 0.091024 | 0.144121 | 0.290771 | 0.290771 | 0.290771 | 0.106195 | 0 | 0 | 0 | 0.001073 | 0.21943 | 1,194 | 40 | 69 | 29.85 | 0.847639 | 0.042714 | 0 | 0.103448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.275862 | false | 0 | 0.137931 | 0.103448 | 0.689655 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
b15fbc926f19b03dce16b9010942aeae158a2557 | 1,461 | py | Python | src/sima/environment/blueprints/windvelocityprofile.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/environment/blueprints/windvelocityprofile.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/environment/blueprints/windvelocityprofile.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | #
# Generated with WindVelocityProfileBlueprint
from dmt.blueprint import Blueprint
from dmt.dimension import Dimension
from dmt.attribute import Attribute
from dmt.enum_attribute import EnumAttribute
from dmt.blueprint_attribute import BlueprintAttribute
from sima.sima.blueprints.moao import MOAOBlueprint
class WindVelocityProfileBlueprint(MOAOBlueprint):
""""""
def __init__(self, name="WindVelocityProfile", package_path="sima/environment", description=""):
super().__init__(name,package_path,description)
self.attributes.append(Attribute("name","string","",default=""))
self.attributes.append(Attribute("description","string","",default=""))
self.attributes.append(Attribute("_id","string","",default=""))
self.attributes.append(BlueprintAttribute("scriptableValues","sima/sima/ScriptableValue","",True,Dimension("*")))
self.attributes.append(Attribute("verticalCoordinate","number","Vertical coordinate of profile level",default=0.0))
self.attributes.append(Attribute("longitudinalVelocityFactor","number","Wind speed scaling factor for fluctuating part of the longitudinal wind",default=0.0))
self.attributes.append(Attribute("lateralVelocityFactor","number","Wind speed scaling factor for the lateral wind velocity",default=0.0))
self.attributes.append(Attribute("verticalVelocityFactor","number","Wind speed scaling factor for the vertical wind velocity",default=0.0)) | 66.409091 | 166 | 0.76386 | 157 | 1,461 | 7.025478 | 0.363057 | 0.101541 | 0.145059 | 0.184044 | 0.329102 | 0.269266 | 0.165005 | 0 | 0 | 0 | 0 | 0.00614 | 0.108145 | 1,461 | 22 | 167 | 66.409091 | 0.840368 | 0.029432 | 0 | 0 | 1 | 0 | 0.313698 | 0.066714 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.352941 | 0 | 0.470588 | 0.294118 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
b161cb07eef98712fe9b30cdaf03889e22baf84d | 160 | py | Python | quiz94.py | DailyCodingHabit/dailyquiz | 06d2bdd73cde41ce93449cbeed336115a3131dd9 | [
"Apache-2.0"
] | null | null | null | quiz94.py | DailyCodingHabit/dailyquiz | 06d2bdd73cde41ce93449cbeed336115a3131dd9 | [
"Apache-2.0"
] | null | null | null | quiz94.py | DailyCodingHabit/dailyquiz | 06d2bdd73cde41ce93449cbeed336115a3131dd9 | [
"Apache-2.0"
] | null | null | null |
import math
if (float("inf") != math.inf):
if(math.floor(4) == 4):
print(1)
else:
print(2)
else:
print(3)
#3 | 10.666667 | 31 | 0.41875 | 21 | 160 | 3.190476 | 0.571429 | 0.268657 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06383 | 0.4125 | 160 | 15 | 32 | 10.666667 | 0.648936 | 0.00625 | 0 | 0.25 | 0 | 0 | 0.020979 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.125 | 0 | 0.125 | 0.375 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b17a89410d274f15c2f08978c177754216ec28b5 | 178 | py | Python | Configurations/NodeParameters.py | vikin91/sdn-switches-benchmarking-framework | c941e9da0d61d415b4d26d68daaad5cac9f981d1 | [
"Apache-2.0"
] | null | null | null | Configurations/NodeParameters.py | vikin91/sdn-switches-benchmarking-framework | c941e9da0d61d415b4d26d68daaad5cac9f981d1 | [
"Apache-2.0"
] | null | null | null | Configurations/NodeParameters.py | vikin91/sdn-switches-benchmarking-framework | c941e9da0d61d415b4d26d68daaad5cac9f981d1 | [
"Apache-2.0"
] | 1 | 2019-02-20T14:21:21.000Z | 2019-02-20T14:21:21.000Z | Node11 = {"ip":"10.1.3.11",
"user":"marian",
"password":"descartes"}
Node17 = {"ip":"10.1.3.17",
"user":"marian",
"password":"descartes"} | 25.428571 | 33 | 0.460674 | 20 | 178 | 4.1 | 0.6 | 0.097561 | 0.121951 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0.280899 | 178 | 7 | 34 | 25.428571 | 0.515625 | 0 | 0 | 0.666667 | 0 | 0 | 0.424581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.333333 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
b186616283441054fad7c9206451302cbe278fcf | 1,961 | py | Python | pyot/models/tft/item.py | andrewdge/Pyot | a0b44a4462fd643bb21fbdc349beb9546543997c | [
"MIT"
] | null | null | null | pyot/models/tft/item.py | andrewdge/Pyot | a0b44a4462fd643bb21fbdc349beb9546543997c | [
"MIT"
] | null | null | null | pyot/models/tft/item.py | andrewdge/Pyot | a0b44a4462fd643bb21fbdc349beb9546543997c | [
"MIT"
] | null | null | null | from typing import List, Iterator, Mapping
from pyot.utils.cdragon import tft_item_sanitize, tft_url
from pyot.core.functional import cache_indexes, lazy_property
from .__core__ import PyotCore
# PYOT CORE OBJECT
class Item(PyotCore):
description: str
effects: Mapping[str, int]
from_ids: List[int]
icon_path: str
id: int
name: str
class Meta(PyotCore.Meta):
rules = {"cdragon_tft_full": ["id"]}
raws = ["from_ids", "effects"]
renamed = {"from":"from_ids", "desc": "description", "icon": "icon_path"}
def __init__(self, id: int = None, locale: str = None):
self._lazy_set(locals())
@cache_indexes
def _filter(self, indexer, data):
return indexer.get(self.id, data["items"], "id")
def _clean(self):
if self.locale.lower() == "default":
self._meta.server = "en_us"
self._hide_load_value("id")
@lazy_property
def icon_abspath(self) -> str:
return tft_url(self.icon_path)
@lazy_property
def cleaned_description(self):
return tft_item_sanitize(self.description, self.effects)
@property
def from_items(self) -> List["Item"]:
return [Item(id=i, locale=self.locale) for i in self.from_ids]
class Items(PyotCore):
items: List[Item]
class Meta(PyotCore.Meta):
rules = {"cdragon_tft_full": []}
def __init__(self, locale: str = None):
self._lazy_set(locals())
def __getitem__(self, item):
if not isinstance(item, int):
return super().__getitem__(item)
return self.items[item]
def __iter__(self) -> Iterator[Item]:
return iter(self.items)
def __len__(self):
return len(self.items)
def _clean(self):
if self.locale.lower() == "default":
self._meta.server = "en_us"
def _filter(self, data):
return data["items"]
def _transform(self, data):
return {"items": data}
| 25.467532 | 81 | 0.625701 | 251 | 1,961 | 4.613546 | 0.286853 | 0.02418 | 0.025907 | 0.036269 | 0.214162 | 0.214162 | 0.214162 | 0.162349 | 0.093264 | 0.093264 | 0 | 0 | 0.245793 | 1,961 | 76 | 82 | 25.802632 | 0.782961 | 0.008159 | 0 | 0.222222 | 0 | 0 | 0.069995 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.240741 | false | 0 | 0.074074 | 0.148148 | 0.703704 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
b1a19c0cf52b5e42aa95a55b9b4400b3de96298b | 2,011 | py | Python | social/admin/__init__.py | MadeInHaus/django-social | 2d88760cbff07083ad3fbab8d60bf340b2a8eba0 | [
"MIT"
] | null | null | null | social/admin/__init__.py | MadeInHaus/django-social | 2d88760cbff07083ad3fbab8d60bf340b2a8eba0 | [
"MIT"
] | 1 | 2015-01-07T17:30:25.000Z | 2015-01-07T17:30:25.000Z | social/admin/__init__.py | MadeInHaus/django-social | 2d88760cbff07083ad3fbab8d60bf340b2a8eba0 | [
"MIT"
] | null | null | null | from django.contrib import admin
from ..models import (FacebookAccount, FacebookMessage, FacebookSearch,
TwitterAccount, TwitterMessage, TwitterSearch,
RSSAccount, RSSMessage, Message,
InstagramAccount, InstagramSearch, InstagramMessage,
TwitterSetting, FacebookSetting, InstagramSetting,
FacebookPublicAccount, TwitterPublicAccount, InstagramPublicAccount,
RSSSetting)
from .models import (SingletonAdmin, MessageAdmin, FacebookAccountAdmin, FacebookSearchAdmin,
FacebookMessageAdmin, TwitterAccountAdmin, TwitterPublicAccountAdmin,
TwitterMessageAdmin, TwitterSearchAdmin,
InstagramAccountAdmin, InstagramPublicAccountAdmin, InstagramSearchAdmin,
InstagramMessageAdmin, RSSAccountAdmin, RSSMessageAdmin,)
admin.site.register(Message, MessageAdmin)
admin.site.register(FacebookSetting, SingletonAdmin)
admin.site.register(FacebookAccount, FacebookAccountAdmin)
admin.site.register(FacebookPublicAccount, FacebookAccountAdmin)
admin.site.register(FacebookMessage, FacebookMessageAdmin)
admin.site.register(FacebookSearch, FacebookSearchAdmin)
admin.site.register(TwitterSetting, SingletonAdmin)
admin.site.register(TwitterAccount, TwitterAccountAdmin)
admin.site.register(TwitterPublicAccount, TwitterPublicAccountAdmin)
admin.site.register(TwitterMessage, TwitterMessageAdmin)
admin.site.register(TwitterSearch, TwitterSearchAdmin)
admin.site.register(InstagramSetting, SingletonAdmin)
admin.site.register(InstagramAccount, InstagramAccountAdmin)
admin.site.register(InstagramPublicAccount, InstagramPublicAccountAdmin)
admin.site.register(InstagramSearch, InstagramSearchAdmin)
admin.site.register(InstagramMessage, InstagramMessageAdmin)
admin.site.register(RSSSetting, SingletonAdmin)
admin.site.register(RSSAccount, RSSAccountAdmin)
admin.site.register(RSSMessage, RSSMessageAdmin)
| 50.275 | 94 | 0.780209 | 140 | 2,011 | 11.207143 | 0.3 | 0.108987 | 0.205864 | 0.079031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152163 | 2,011 | 39 | 95 | 51.564103 | 0.920235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.09375 | 0 | 0.09375 | 0 | 0 | 0 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b1a755115ef22b342b60688c5533ceac9128262d | 194 | py | Python | iletisim/urls.py | VektorelPythonHIA23/WebProje | 8dc6b8116cf4ca1aa93b098721eb7e09445a9a15 | [
"MIT"
] | null | null | null | iletisim/urls.py | VektorelPythonHIA23/WebProje | 8dc6b8116cf4ca1aa93b098721eb7e09445a9a15 | [
"MIT"
] | null | null | null | iletisim/urls.py | VektorelPythonHIA23/WebProje | 8dc6b8116cf4ca1aa93b098721eb7e09445a9a15 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
# path('',views.gonderListe,name="gonderListe"),
# path('detay/<int:pk>',views.gonderiDetay,name="gonderiDetay"),
] | 24.25 | 68 | 0.680412 | 22 | 194 | 6 | 0.590909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149485 | 194 | 8 | 69 | 24.25 | 0.8 | 0.561856 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
b1a81cd6df11ac395d60a540635d3b6f1dbbfac8 | 1,216 | py | Python | examples/example1.py | arch-cl0wn/Packmax | 0b765562d02309775df60f13a5c5bc230cb835c4 | [
"Unlicense"
] | 1 | 2022-01-22T10:31:39.000Z | 2022-01-22T10:31:39.000Z | examples/example1.py | arch-cl0wn/Packmax | 0b765562d02309775df60f13a5c5bc230cb835c4 | [
"Unlicense"
] | null | null | null | examples/example1.py | arch-cl0wn/Packmax | 0b765562d02309775df60f13a5c5bc230cb835c4 | [
"Unlicense"
] | null | null | null | from _3dbp import Bin, Item, Items_List, bp3D, get_items_total_volume
# create bin
bin = Bin("Container1", 500, 300, 400)
# create items
items_list = Items_List()
items_list.add_item(Item("Item01", 20, 20, 30))
items_list.add_item(Item("Item02", 10, 40, 10))
items_list.add_item(Item("Item03", 20, 40, 10))
items_list.add_item(Item("Item04", 20, 20, 20))
items_list.add_item(Item("Item05", 10, 10, 10))
items_list.add_item(Item("Item06", 30, 20, 10))
items_list.add_item(Item("Item07", 30, 10, 20))
items_list.add_item(Item("Item08", 30, 10, 10))
items_list.add_item(Item("Item09", 10, 20, 10))
items_list.add_item(Item("Item10", 10, 20, 10))
items_list.add_item(Item("Item11", 10, 10, 10))
items_list.add_item(Item("Item12", 20, 10, 20))
print("BEFORE packing:")
for item in items_list.items:
item.print_data()
print("---------------------------------------------------\n")
print("There are", len(items_list.items), "items and the total volume of items is", get_items_total_volume(items_list.items))
bin.print_data()
# packing
bp3D(bin, items_list.items)
print("\nAFTER packing:")
for item in bin.items:
item.print_data()
print("---------------------------------------------------\n")
bin.print_data() | 33.777778 | 125 | 0.659539 | 195 | 1,216 | 3.897436 | 0.246154 | 0.225 | 0.189474 | 0.252632 | 0.436842 | 0.384211 | 0.263158 | 0.136842 | 0 | 0 | 0 | 0.099271 | 0.097039 | 1,216 | 36 | 126 | 33.777778 | 0.592896 | 0.025493 | 0 | 0.222222 | 0 | 0 | 0.225042 | 0.089679 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.037037 | 0.333333 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b1ad84cabbee6ce6f047242bbf1542c531c4f7ef | 19 | py | Python | sappgen/cfg/config.py | aayushuppal/sappgen | 5553cddadb3ea3a1cd6535610246de9fbf0c8e99 | [
"MIT"
] | null | null | null | sappgen/cfg/config.py | aayushuppal/sappgen | 5553cddadb3ea3a1cd6535610246de9fbf0c8e99 | [
"MIT"
] | null | null | null | sappgen/cfg/config.py | aayushuppal/sappgen | 5553cddadb3ea3a1cd6535610246de9fbf0c8e99 | [
"MIT"
] | null | null | null | LOG_LEVEL = "INFO"
| 9.5 | 18 | 0.684211 | 3 | 19 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 19 | 1 | 19 | 19 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b1aeaa14ad9699f5ca6f97852c15d3f0266f86ff | 578 | py | Python | hospital/admin.py | mohtasimhadi/ERRSHospitalManagementSystem | 443ce45e0ad19079fb934c14fd968bcb4534fbd1 | [
"MIT"
] | null | null | null | hospital/admin.py | mohtasimhadi/ERRSHospitalManagementSystem | 443ce45e0ad19079fb934c14fd968bcb4534fbd1 | [
"MIT"
] | null | null | null | hospital/admin.py | mohtasimhadi/ERRSHospitalManagementSystem | 443ce45e0ad19079fb934c14fd968bcb4534fbd1 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from hospital.models import Doctor, Patient, Appointment, PatientDischargeDetails
class DoctorAdmin(admin.ModelAdmin):
pass
admin.site.register(Doctor, DoctorAdmin)
class PatientAdmin(admin.ModelAdmin):
pass
admin.site.register(Patient, PatientAdmin)
class AppointmentAdmin(admin.ModelAdmin):
pass
admin.site.register(Appointment, AppointmentAdmin)
class PatientDischargeDetailsAdmin(admin.ModelAdmin):
pass
admin.site.register(PatientDischargeDetails, PatientDischargeDetailsAdmin)
| 17.515152 | 81 | 0.806228 | 57 | 578 | 8.175439 | 0.385965 | 0.128755 | 0.16309 | 0.206009 | 0.309013 | 0.309013 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119377 | 578 | 32 | 82 | 18.0625 | 0.915521 | 0.044983 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.285714 | 0.142857 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
4909e537601be6ddaa666a05eec24e3654489411 | 338 | py | Python | ex019.py | carlosvcerqueira/Projetos-Python | 2fb91a0be8abf436af6a1d57fb2a1eafd0d30394 | [
"MIT"
] | null | null | null | ex019.py | carlosvcerqueira/Projetos-Python | 2fb91a0be8abf436af6a1d57fb2a1eafd0d30394 | [
"MIT"
] | null | null | null | ex019.py | carlosvcerqueira/Projetos-Python | 2fb91a0be8abf436af6a1d57fb2a1eafd0d30394 | [
"MIT"
] | null | null | null | import random
a1 = input('Digite o nome do primeiro aluno: ')
a2 = input('Digite o nome do segundo aluno: ')
a3 = input('Digite o nome do terceiro aluno: ')
a4 = input('Digite o nome do quarto aluno: ')
lista = [a1, a2, a3, a4]
escolhido = random.choice(lista)
print('O aluno escolhido foi: {}'.format(escolhido))
| 19.882353 | 53 | 0.64497 | 50 | 338 | 4.36 | 0.44 | 0.201835 | 0.220183 | 0.293578 | 0.330275 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030534 | 0.224852 | 338 | 16 | 54 | 21.125 | 0.801527 | 0 | 0 | 0 | 0 | 0 | 0.490446 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
493d108ee30aeafe3138adf9f05ee5443db3485c | 234 | py | Python | services/users/project/tests/utils.py | mgw2168/testdriven-app | 1ad7edfcff5a0ccdd0e17448746f40ac383af9b5 | [
"Apache-2.0"
] | 2 | 2019-02-11T05:41:13.000Z | 2019-03-27T07:25:14.000Z | services/users/project/tests/utils.py | nishantc7/react-flask-boilerplate | e2b995a3679b48dba40e12bf7580a90cf7a5a333 | [
"MIT"
] | null | null | null | services/users/project/tests/utils.py | nishantc7/react-flask-boilerplate | e2b995a3679b48dba40e12bf7580a90cf7a5a333 | [
"MIT"
] | null | null | null | from project import db
from project.api.models import User
def add_user(username, email, password):
user = User(username=username, email=email, password=password)
db.session.add(user)
db.session.commit()
return user
| 23.4 | 66 | 0.735043 | 33 | 234 | 5.181818 | 0.454545 | 0.128655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 234 | 9 | 67 | 26 | 0.876923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.285714 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
4955410d6fe7e3364b6815615eb8cbc176113099 | 113 | py | Python | news-crawler/config.py | awesome-archive/python-crawler-1 | f4b2dcd33b2df8d1d0d99ca5aec20784e925a799 | [
"MIT"
] | null | null | null | news-crawler/config.py | awesome-archive/python-crawler-1 | f4b2dcd33b2df8d1d0d99ca5aec20784e925a799 | [
"MIT"
] | null | null | null | news-crawler/config.py | awesome-archive/python-crawler-1 | f4b2dcd33b2df8d1d0d99ca5aec20784e925a799 | [
"MIT"
] | 2 | 2020-12-06T10:38:25.000Z | 2021-05-18T09:27:35.000Z | # Author: veelion
db_host = 'localhost'
db_db = 'crawler'
db_user = 'your-user'
db_password = 'your-password'
| 12.555556 | 29 | 0.699115 | 16 | 113 | 4.6875 | 0.5625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.159292 | 113 | 8 | 30 | 14.125 | 0.789474 | 0.132743 | 0 | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.25 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
49594fc7d17516a1f1bf00a3897aeda5570111e2 | 11,070 | py | Python | coreRelback/models.py | supernoi/relback | b4f04d7ed5cb315e9c862fbd82291ada8fb5af08 | [
"MIT"
] | null | null | null | coreRelback/models.py | supernoi/relback | b4f04d7ed5cb315e9c862fbd82291ada8fb5af08 | [
"MIT"
] | null | null | null | coreRelback/models.py | supernoi/relback | b4f04d7ed5cb315e9c862fbd82291ada8fb5af08 | [
"MIT"
] | 1 | 2019-06-25T13:27:40.000Z | 2019-06-25T13:27:40.000Z | from django.db import models
class Users(models.Model):
id_user = models.FloatField(primary_key=True)
name = models.CharField(max_length=50, blank=True, null=True)
username = models.CharField(max_length=100, blank=True, null=True)
password = models.CharField(max_length=60, blank=True, null=True)
status = models.BigIntegerField(blank=True, null=True)
email = models.CharField(max_length=150, blank=True, null=True)
remember_token = models.CharField(max_length=100, blank=True, null=True)
timestamps = models.DateTimeField(blank=True, null=True)
updated_at = models.DateTimeField(blank=True, null=True)
created_at = models.DateTimeField(blank=True, null=True)
class Meta:
managed = False
db_table = 'users'
class Clients(models.Model):
id_client = models.BigIntegerField(primary_key=True)
name = models.CharField(max_length=100, blank=True, null=True)
description = models.CharField(max_length=200, blank=True, null=True)
created_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='created_id_user', related_name='client_user_creator', blank=True, default=1)
created_at = models.DateField(auto_now_add=True)
updated_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='updated_id_user', related_name='client_user_updater', blank=True, null=True)
updated_at = models.DateField(blank=True, null=True, auto_now=True)
class Meta:
managed = False
db_table = 'clients'
def __str__(self):
return self.name
class Hosts(models.Model):
id_host = models.AutoField(primary_key=True)
hostname = models.CharField(max_length=100)
description = models.CharField(max_length=100)
ip = models.CharField(max_length=39)
id_client = models.ForeignKey('Clients', models.DO_NOTHING, db_column='id_client', related_name='host_client_id')
created_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='created_id_user', related_name='host_user_creator', default=1)
created_at = models.DateField(auto_now_add=True)
updated_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='updated_id_user', related_name='host_user_updater', blank=True, null=True)
updated_at = models.DateField(blank=True, null=True, auto_now=True)
class Meta:
managed = False
db_table = 'hosts'
def __str__(self):
return self.hostname
class Databases(models.Model):
id_database = models.BigIntegerField(primary_key=True)
id_client = models.ForeignKey('Clients', models.DO_NOTHING, db_column='id_client', related_name='database_client_id')
id_host = models.ForeignKey('Hosts', models.DO_NOTHING, db_column='id_host', related_name='database_host_id')
db_name = models.CharField(max_length=20)
description = models.CharField(max_length=100)
last_resync = models.DateField(blank=True, null=True)
created_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='created_id_user', related_name='database_user_creator', default=1)
created_at = models.DateField(auto_now_add=True)
updated_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='updated_id_user', related_name='database_user_updater', blank=True, null=True)
updated_at = models.DateField(blank=True, null=True, auto_now=True)
dbid = models.FloatField()
class Meta:
managed = False
db_table = 'databases'
unique_together = (('id_database', 'id_client', 'id_host'),)
def __str__(self):
return self.db_name
class BackupPolicies(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
policy_name = models.CharField(max_length=150)
id_client = models.ForeignKey('Clients', models.DO_NOTHING, db_column='id_client', related_name='policy_client_id')
id_database = models.ForeignKey('Databases', models.DO_NOTHING, db_column='id_database', related_name='policy_database_id')
id_host = models.ForeignKey('Hosts', models.DO_NOTHING, db_column='id_host', related_name='policy_host_id')
backup_type = models.CharField(max_length=30)
destination = models.CharField(max_length=8)
minute = models.CharField(max_length=100)
hour = models.CharField(max_length=100)
day = models.CharField(max_length=100)
month = models.CharField(max_length=100)
day_week = models.CharField(max_length=100)
duration = models.FloatField()
size_backup = models.CharField(max_length=10)
status = models.CharField(max_length=8)
description = models.CharField(max_length=100, blank=True, null=True)
created_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='created_id_user', related_name='policy_user_creator', default=1)
created_at = models.DateField(auto_now_add=True)
updated_id_user = models.ForeignKey('Users', models.DO_NOTHING, db_column='updated_id_user', related_name='policy_user_updater', blank=True, null=True)
updated_at = models.DateField(blank=True, null=True, auto_now=True)
class Meta:
managed = False
db_table = 'backup_policies'
#unique_together = (('id_database', 'id_client', 'id_host'),)
class Schedules(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
schedule_start = models.DateField()
class Meta:
managed = False
db_table = 'schedules'
unique_together = (('id_policy', 'schedule_start'),)
class CronDay(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
day = models.BigIntegerField()
class Meta:
managed = False
db_table = 'cron_day'
unique_together = (('id_policy', 'day'),)
class CronDayWeek(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
day_week = models.BigIntegerField()
class Meta:
managed = False
db_table = 'cron_day_week'
unique_together = (('id_policy', 'day_week'),)
class CronHour(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
hour = models.BigIntegerField()
class Meta:
managed = False
db_table = 'cron_hour'
unique_together = (('id_policy', 'hour'),)
class CronMinute(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
minute = models.BigIntegerField()
class Meta:
managed = False
db_table = 'cron_minute'
unique_together = (('id_policy', 'minute'),)
class CronMonth(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
month = models.BigIntegerField()
class Meta:
managed = False
db_table = 'cron_month'
unique_together = (('id_policy', 'month'),)
class CronYear(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
year = models.BigIntegerField()
class Meta:
managed = False
db_table = 'cron_year'
unique_together = (('id_policy', 'year'),)
class VwBackupPolicies(models.Model):
id_policy = models.BigIntegerField(primary_key=True)
schedule_start = models.DateField()
hostname = models.CharField(max_length=100)
db_name = models.CharField(max_length=20)
dbid = models.FloatField()
destination = models.CharField(max_length=8)
backup_type = models.CharField(max_length=30)
duration = models.FloatField()
size_backup = models.CharField(max_length=10)
description = models.CharField(max_length=100, blank=True, null=True)
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_backup_policies'
class VwRmanBackupJobDetails(models.Model):
db_name = models.CharField(max_length=8)
dbid = models.FloatField()
db_key = models.FloatField()
start_time = models.DateField(blank=True, null=True)
end_time = models.DateField(blank=True, null=True)
status = models.CharField(max_length=23, blank=True, null=True)
time_taken_display = models.CharField(max_length=4000, blank=True, null=True)
output_bytes_display = models.CharField(max_length=4000, blank=True, null=True)
output_device_type = models.CharField(max_length=17, blank=True, null=True)
session_key = models.FloatField(blank=True, null=True)
session_recid = models.FloatField(blank=True, null=True)
session_stamp = models.FloatField(blank=True, null=True)
input_type = models.CharField(max_length=13, blank=True, null=True)
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_rman_backup_job_details'
class VwRmanBackupSubjobDetails(models.Model):
db_name = models.CharField(max_length=8)
dbid = models.FloatField()
operation = models.CharField(max_length=33, blank=True, null=True)
input_type = models.CharField(max_length=13, blank=True, null=True)
status = models.CharField(max_length=23, blank=True, null=True)
session_stamp = models.FloatField(blank=True, null=True)
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_rman_backup_subjob_details'
class VwRmanDatabase(models.Model):
db_key = models.FloatField()
dbinc_key = models.FloatField(blank=True, null=True)
dbid = models.FloatField()
name = models.CharField(max_length=8)
resetlogs_change_field = models.FloatField(db_column='resetlogs_change#') # Field renamed to remove unsuitable characters. Field renamed because it ended with '_'.
resetlogs_time = models.DateField()
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_rman_database'
class VwRmanOutput(models.Model):
db_key = models.FloatField()
session_key = models.FloatField()
recid = models.FloatField(primary_key=True)
stamp = models.FloatField()
output = models.CharField(max_length=130)
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_rman_output'
class VwRmanStatus(models.Model):
db_key = models.FloatField()
db_name = models.CharField(max_length=8)
row_level = models.FloatField(blank=True, null=True)
operation = models.CharField(max_length=33, blank=True, null=True)
object_type = models.CharField(max_length=80, blank=True, null=True)
status = models.CharField(max_length=33, blank=True, null=True)
session_key = models.IntegerField(blank=True, null=True)
session_recid = models.FloatField(blank=True, null=True)
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_rman_status'
class VwRmanResync(models.Model):
db_key = models.FloatField()
dbinc_key = models.FloatField()
dbid = models.FloatField()
name = models.CharField(max_length=8)
resetlogs_change_field = models.FloatField(db_column='resetlogs_change#') # Field renamed to remove unsuitable characters. Field renamed because it ended with '_'.
resetlogs_time = models.DateField()
class Meta:
managed = False # Created from a view. Don't remove.
db_table = 'vw_rman_resync'
| 40.40146 | 168 | 0.719422 | 1,441 | 11,070 | 5.2873 | 0.10687 | 0.090563 | 0.108676 | 0.144901 | 0.827143 | 0.764142 | 0.689198 | 0.638273 | 0.615435 | 0.526185 | 0 | 0.011953 | 0.168654 | 11,070 | 273 | 169 | 40.549451 | 0.81593 | 0.043451 | 0 | 0.490741 | 0 | 0 | 0.085933 | 0.00917 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013889 | false | 0.00463 | 0.00463 | 0.013889 | 0.787037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
4979204ac1ecddc92bb320cce02dc09d6ae650d8 | 25 | py | Python | meiduo_mall/meiduo_mall/apps/auoth/constants.py | 1923488289/meiduo_mall | a811b3fd455f3de5286de19bbfa1f3ca5817f4a6 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/auoth/constants.py | 1923488289/meiduo_mall | a811b3fd455f3de5286de19bbfa1f3ca5817f4a6 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/auoth/constants.py | 1923488289/meiduo_mall | a811b3fd455f3de5286de19bbfa1f3ca5817f4a6 | [
"MIT"
] | null | null | null | OPENID_EXPIRES = 60 * 10
| 12.5 | 24 | 0.72 | 4 | 25 | 4.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.2 | 25 | 1 | 25 | 25 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
49997c17c1c5e326d0eace5c81228970137f7a70 | 2,364 | py | Python | comandante/inner/proxy.py | stepan-anokhin/comandante | 9fa7da93ae91e4a3c1cde4ad34b4a78edca5aa16 | [
"MIT"
] | 2 | 2019-10-06T16:00:51.000Z | 2020-01-17T20:11:35.000Z | comandante/inner/proxy.py | stepan-anokhin/comandante | 9fa7da93ae91e4a3c1cde4ad34b4a78edca5aa16 | [
"MIT"
] | null | null | null | comandante/inner/proxy.py | stepan-anokhin/comandante | 9fa7da93ae91e4a3c1cde4ad34b4a78edca5aa16 | [
"MIT"
] | null | null | null | """Python object proxy
Description:
-----------
This module provides a generic python
object proxy class.
"""
from comandante.inner.helpers import getname
class Proxy(object):
"""Generic python object proxy."""
def _unsupport(self, *names):
for name in names:
pattern = "'{type}' does not support method '{name}'"
message = pattern.format(type=getname(type(self)), name=name)
def stub(*_args, **_kwargs):
raise TypeError(message)
stub.__name__ = name
self._set(name, stub)
def _set(self, name, value):
"""Set attribute on the proxy itself."""
object.__setattr__(self, name, value)
def __init__(self, target):
self._set('_target', target)
def __getattr__(self, item):
"""Delegate attribute access to the underlying object."""
return getattr(self._target, item)
def __setattr__(self, key, value):
"""Delegate attribute assign to the underlying object."""
if hasattr(self._target, key):
setattr(self._target, key, value)
self._set(key, value)
def __setitem__(self, key, value):
self._target[key] = value
def __getitem__(self, item):
return self._target[item]
def __len__(self):
return len(self._target)
def __delitem__(self, key):
del self._target[key]
def __str__(self):
return str(self._target)
def __repr__(self):
return repr(self._target)
def __call__(self, *args, **kwargs):
return self._target(*args, **kwargs)
def __iter__(self):
return iter(self._target)
def __next__(self):
return next(self._target)
def __bool__(self):
return bool(self._target)
def __hash__(self):
return hash(self._target)
def __eq__(self, other):
return self._target == other
def __ge__(self, other):
return self._target >= other
def __gt__(self, other):
return self._target > other
def __le__(self, other):
return self._target <= other
def __lt__(self, other):
return self._target < other
def __ne__(self, other):
return self._target != other
def __dir__(self):
return dir(self._target)
def __contains__(self, item):
return item in self._target
| 23.878788 | 73 | 0.609137 | 278 | 2,364 | 4.726619 | 0.276978 | 0.175038 | 0.097412 | 0.086758 | 0.150685 | 0.150685 | 0.150685 | 0 | 0 | 0 | 0 | 0 | 0.275381 | 2,364 | 98 | 74 | 24.122449 | 0.767075 | 0.115059 | 0 | 0 | 0 | 0 | 0.023245 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.431034 | false | 0 | 0.017241 | 0.293103 | 0.775862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
b8e22d9b0ad023affb31059b6d641c0c149e5e48 | 1,651 | py | Python | airdialogue/evaluator/metrics/f1.py | josephch405/airdialogue | 9c8ce15cfc3e9afe7a1eeb430fd2d2f8fea437d5 | [
"Apache-2.0"
] | 33 | 2019-11-18T06:22:37.000Z | 2022-03-07T15:04:16.000Z | airdialogue/evaluator/metrics/f1.py | josephch405/airdialogue | 9c8ce15cfc3e9afe7a1eeb430fd2d2f8fea437d5 | [
"Apache-2.0"
] | 4 | 2020-05-22T04:11:00.000Z | 2020-07-01T22:51:31.000Z | airdialogue/evaluator/metrics/f1.py | josephch405/airdialogue | 9c8ce15cfc3e9afe7a1eeb430fd2d2f8fea437d5 | [
"Apache-2.0"
] | 9 | 2019-12-02T22:57:17.000Z | 2021-10-16T09:28:42.000Z | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""This function calculates the F1 score."""
from collections import Counter
import re
import string
def f1_score(prediction, ground_truth):
prediction_tokens = list(normalize_answer(prediction))
ground_truth_tokens = list(normalize_answer(ground_truth))
common = Counter(prediction_tokens) & Counter(ground_truth_tokens)
num_same = sum(common.values())
# print num_same, common
if num_same == 0:
return 0
precision = 1.0 * num_same / len(prediction_tokens)
recall = 1.0 * num_same / len(ground_truth_tokens)
f1 = (2 * precision * recall) / (precision + recall)
return f1
def normalize_answer(s):
"""Lower text and remove punctuation, articles and extra whitespace."""
def remove_articles(text):
return re.sub(r'\b(a|an|the)\b', ' ', text)
def white_space_fix(text):
return ' '.join(text.split())
def remove_punc(text):
exclude = set(string.punctuation)
return ''.join(ch for ch in text if ch not in exclude)
def lower(text):
return text.lower()
return white_space_fix(remove_articles(remove_punc(lower(s))))
| 31.150943 | 74 | 0.732889 | 244 | 1,651 | 4.844262 | 0.463115 | 0.050761 | 0.043147 | 0.027073 | 0.020305 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013848 | 0.168988 | 1,651 | 52 | 75 | 31.75 | 0.847668 | 0.410055 | 0 | 0 | 0 | 0 | 0.01686 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.12 | 0.12 | 0.64 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
b8ff1fd55496bd49a06efd5a862345eb3023a57c | 198 | py | Python | billing/tests/__init__.py | hkhanna/django-stripe-billing | 75a53c183ff86b1c7edf741683ffe3330e733d87 | [
"MIT"
] | 1 | 2022-03-29T20:16:34.000Z | 2022-03-29T20:16:34.000Z | billing/tests/__init__.py | hkhanna/django-stripe-billing | 75a53c183ff86b1c7edf741683ffe3330e733d87 | [
"MIT"
] | 2 | 2022-02-21T17:38:22.000Z | 2022-02-22T20:56:39.000Z | billing/tests/__init__.py | hkhanna/django-stripe-billing | 75a53c183ff86b1c7edf741683ffe3330e733d87 | [
"MIT"
] | null | null | null | try:
from celery import Celery
app = Celery("billing_test")
app.config_from_object("django.conf:settings", namespace="CELERY")
app.autodiscover_tasks()
except ImportError:
pass
| 22 | 70 | 0.717172 | 24 | 198 | 5.75 | 0.75 | 0.130435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.176768 | 198 | 8 | 71 | 24.75 | 0.846626 | 0 | 0 | 0 | 0 | 0 | 0.191919 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.142857 | 0.285714 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
77041a670e200b847e9317370f0bc44ef5f182a6 | 599 | py | Python | src/bindings/python/DocStrings/FileTransform.py | jmertic/OpenColorIO | 9b18fd69f981288a6a3640e283b8d9968a15423e | [
"BSD-3-Clause"
] | 1 | 2019-11-18T21:49:25.000Z | 2019-11-18T21:49:25.000Z | src/bindings/python/DocStrings/FileTransform.py | KevinJW/OpenColorIO | 412aa7ba273616867e607de646e4975791198812 | [
"BSD-3-Clause"
] | 1 | 2020-06-12T19:10:09.000Z | 2020-06-12T19:10:09.000Z | src/bindings/python/DocStrings/FileTransform.py | KevinJW/OpenColorIO | 412aa7ba273616867e607de646e4975791198812 | [
"BSD-3-Clause"
] | null | null | null | # SPDX-License-Identifier: BSD-3-Clause
# Copyright Contributors to the OpenColorIO Project.
class FileTransform:
"""
FileTransform
"""
def __init__(self):
pass
def getSrc(self):
pass
def setSrc(self, src):
pass
def getCCCId(self):
pass
def setCCCId(self, cccid):
pass
def getInterpolation(self):
pass
def setInterpolation(self, interp):
pass
def getNumFormats(self):
pass
def getFormatNameByIndex(self, index):
pass
def getFormatExtensionByIndex(self, index):
pass
| 21.392857 | 52 | 0.611018 | 60 | 599 | 6.033333 | 0.516667 | 0.174033 | 0.151934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002404 | 0.305509 | 599 | 27 | 53 | 22.185185 | 0.867788 | 0.171953 | 0 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.47619 | false | 0.47619 | 0 | 0 | 0.52381 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
7704b4e4dd1435a21f1e89a13e73be959aae7ead | 296 | gyp | Python | apptests/src/test/resources/argo/node_modules/argo-server/example/node_modules/webkit-devtools-agent/node_modules/v8-profiler/binding.gyp | t-beckmann/trireme | 420e180c0fddc3550d0f0ec373cef27d68acbfc1 | [
"MIT"
] | null | null | null | apptests/src/test/resources/argo/node_modules/argo-server/example/node_modules/webkit-devtools-agent/node_modules/v8-profiler/binding.gyp | t-beckmann/trireme | 420e180c0fddc3550d0f0ec373cef27d68acbfc1 | [
"MIT"
] | null | null | null | apptests/src/test/resources/argo/node_modules/argo-server/example/node_modules/webkit-devtools-agent/node_modules/v8-profiler/binding.gyp | t-beckmann/trireme | 420e180c0fddc3550d0f0ec373cef27d68acbfc1 | [
"MIT"
] | null | null | null | {
'targets': [
{
'target_name': 'profiler',
'sources': [
'cpu_profiler.cc',
'graph_edge.cc',
'graph_node.cc',
'heap_profiler.cc',
'profile.cc',
'profile_node.cc',
'profiler.cc',
'snapshot.cc',
],
}
]
}
| 16.444444 | 32 | 0.435811 | 26 | 296 | 4.730769 | 0.5 | 0.243902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.385135 | 296 | 17 | 33 | 17.411765 | 0.675824 | 0 | 0 | 0 | 0 | 0 | 0.462838 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
772762c2439369f6761c405af5ca9574d25dfd2a | 1,194 | py | Python | nematus/server/response.py | aquaktus/nematus | 68e0c4488f363404ead783f0938a39e234f8f901 | [
"BSD-3-Clause"
] | 2 | 2018-05-05T09:02:19.000Z | 2018-10-01T07:43:17.000Z | nematus/server/response.py | aquaktus/nematus | 68e0c4488f363404ead783f0938a39e234f8f901 | [
"BSD-3-Clause"
] | null | null | null | nematus/server/response.py | aquaktus/nematus | 68e0c4488f363404ead783f0938a39e234f8f901 | [
"BSD-3-Clause"
] | 2 | 2018-07-16T13:42:55.000Z | 2019-07-03T14:07:20.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Defines the abstract response format for Nematus server.
"""
from abc import ABCMeta, abstractmethod
class TranslationResponse(object):
"""
Abstract translation response base class.
"""
__metaclass__ = ABCMeta
STATUS_OK = 0
STATUS_ERROR = 1
def __init__(self, status, segments, word_alignments=None, word_probabilities=None):
"""
Initialises a translation response.
@type segments: list(str)
@param segments: the translated segments to be included.
"""
self._content_type = "application/json"
self._status = status
self._segments = segments
self._word_alignments = word_alignments
self._word_probabilities = word_probabilities
self._response = self._format()
@abstractmethod
def _format(self):
"""
Formats this translation response.
"""
pass # to be implemented in subclasses
def __repr__(self):
"""
Returns the raw body of this translation response.
"""
return self._format()
def get_content_type(self):
return self._content_type
| 24.875 | 88 | 0.637353 | 125 | 1,194 | 5.816 | 0.52 | 0.104539 | 0.041265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003464 | 0.274707 | 1,194 | 47 | 89 | 25.404255 | 0.836028 | 0.31742 | 0 | 0 | 0 | 0 | 0.022695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0.052632 | 0.052632 | 0.052632 | 0.578947 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
773ca6758b3695e9c4cba2787ae314eff6d01337 | 557 | py | Python | featuretools/tests/testing_utils/cluster.py | ridicolos/featuretools | 0af409da206e0b691ec64a3e0e618a43f1701dd9 | [
"BSD-3-Clause"
] | 942 | 2020-11-10T02:59:39.000Z | 2022-03-31T16:34:33.000Z | featuretools/tests/testing_utils/cluster.py | 167rgc911/featuretools | bbad3f7392b203b7b9c250a93465052e7fc06bbc | [
"BSD-3-Clause"
] | 721 | 2020-11-09T23:12:06.000Z | 2022-03-31T22:33:35.000Z | featuretools/tests/testing_utils/cluster.py | 167rgc911/featuretools | bbad3f7392b203b7b9c250a93465052e7fc06bbc | [
"BSD-3-Clause"
] | 127 | 2020-11-10T10:12:30.000Z | 2022-03-27T08:55:05.000Z | from psutil import virtual_memory
def mock_cluster(n_workers=1,
threads_per_worker=1,
diagnostics_port=8787,
memory_limit=None,
**dask_kwarg):
return (n_workers, threads_per_worker, diagnostics_port, memory_limit)
class MockClient():
def __init__(self, cluster):
self.cluster = cluster
def scheduler_info(self):
return {'workers': {'worker 1': {'memory_limit': virtual_memory().total}}}
def get_mock_client_cluster():
return MockClient, mock_cluster
| 25.318182 | 82 | 0.64991 | 64 | 557 | 5.28125 | 0.484375 | 0.097633 | 0.094675 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016908 | 0.256733 | 557 | 21 | 83 | 26.52381 | 0.799517 | 0 | 0 | 0 | 0 | 0 | 0.048474 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.071429 | 0.214286 | 0.642857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
773eef2fe4709bf3e27d02fae264d2ff68268f67 | 1,277 | py | Python | genetic_algorithm.py | ReemAlattas/RapidBot | eabb8ba5dbf74a3131376dbbd9176c4905668fa0 | [
"Apache-2.0"
] | null | null | null | genetic_algorithm.py | ReemAlattas/RapidBot | eabb8ba5dbf74a3131376dbbd9176c4905668fa0 | [
"Apache-2.0"
] | null | null | null | genetic_algorithm.py | ReemAlattas/RapidBot | eabb8ba5dbf74a3131376dbbd9176c4905668fa0 | [
"Apache-2.0"
] | null | null | null | import random
### Design Parameters ###
N = 2 # Number of Module Links
L = 'd' # Type of Module Links
C = [1, 2, 3, 4, 5, 6] # Labels of Connection Faces
A = [0, 90, 180, 270] # Rotation Angles
### GA Global Variables ###
POP_SIZE = 10
GENERATIONS = 1000
### Dtto Robot composed of 2 modules ###
d2 = [(1, 0, 0, 0), (4, 0, 0, 0)]
### Step 1 -- Generate Initial Population ###
#print('(',random.choice(C), ',' , random.choice(A), ',' , random.choice(A), ',' , random.choice(A), ')')
e = N-1 # Number of Edges
def individual():
'Create a member of the population'
return random.sample(list(zip(random.sample(C, len(C)), random.sample(A, len(A)), random.sample(A, len(A)), random.sample(A, len(A)))), N)
#print (individual())
def population():
'Create a population of individuals'
return [ individual() for x in range(POP_SIZE) ]
#print (population())
### Step 2 -- Evaluation ##
def fitness(individual, target):
return -1
### Step 3 -- Selection ##
def grade(pop, target):
'Calculate Avg'
return -1
### Step 4 -- Crossover ###
def crossover(mom, dad):
return mom[:1] + dad[1:]
print (crossover([(2, 0, 90, 90), (3, 90, 270, 270)], [(4, 0, 90, 270), (6, 90, 0, 180)]))
### Step 5 -- Mutation ###
def mutate(child):
return -1 | 26.061224 | 142 | 0.60141 | 192 | 1,277 | 3.989583 | 0.40625 | 0.078329 | 0.050914 | 0.062663 | 0.117493 | 0.117493 | 0.06658 | 0.06658 | 0.06658 | 0.06658 | 0 | 0.07045 | 0.199687 | 1,277 | 49 | 143 | 26.061224 | 0.679061 | 0.411903 | 0 | 0.12 | 0 | 0 | 0.103846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.04 | 0.12 | 0.52 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
91f3cb9b0d7b4a83cf0a1acbfa7844329409b33b | 101 | py | Python | python/rpdk/java/__init__.py | Yunhao-Jiao/cloudformation-cli-java-plugin | 850d9930954a512aae04bd446e4dc0614ed16b15 | [
"Apache-2.0"
] | null | null | null | python/rpdk/java/__init__.py | Yunhao-Jiao/cloudformation-cli-java-plugin | 850d9930954a512aae04bd446e4dc0614ed16b15 | [
"Apache-2.0"
] | null | null | null | python/rpdk/java/__init__.py | Yunhao-Jiao/cloudformation-cli-java-plugin | 850d9930954a512aae04bd446e4dc0614ed16b15 | [
"Apache-2.0"
] | null | null | null | import logging
__version__ = "2.0.6"
logging.getLogger(__name__).addHandler(logging.NullHandler())
| 16.833333 | 61 | 0.782178 | 12 | 101 | 5.916667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 0.079208 | 101 | 5 | 62 | 20.2 | 0.731183 | 0 | 0 | 0 | 0 | 0 | 0.049505 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
6203d423489884abd48ba185a6a16692926c078b | 428 | py | Python | flex/apps/options/receivers.py | centergy/flex | 4fc11d3ad48e4b5016f53256015e3eed2157daae | [
"MIT"
] | null | null | null | flex/apps/options/receivers.py | centergy/flex | 4fc11d3ad48e4b5016f53256015e3eed2157daae | [
"MIT"
] | null | null | null | flex/apps/options/receivers.py | centergy/flex | 4fc11d3ad48e4b5016f53256015e3eed2157daae | [
"MIT"
] | null | null | null | from flex.signal import signals, receiver
from .signals import install_options
from .core import options
@receiver('auth.register_user_perms')
def _create_user_perms(app, **kwargs):
return {
# 'options.write': 'Can Edit Options',
}
@reciver('auth.register_user_groups')
def _create_user_groups(app, **kwargs):
return {}
@reciver('install')
def _install_app_options(app):
install_options.send(app, options=options)
| 18.608696 | 43 | 0.759346 | 57 | 428 | 5.438596 | 0.421053 | 0.090323 | 0.103226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116822 | 428 | 22 | 44 | 19.454545 | 0.820106 | 0.084112 | 0 | 0 | 0 | 0 | 0.14359 | 0.125641 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.230769 | 0.153846 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
6218073ff315807f94811beb67c3f1525520e7f0 | 765 | py | Python | tests/tokenizers/test_protein_insertion.py | cancervariants/varlex | 3806317fa0125c3098e80124d5169fe6a13d50db | [
"MIT"
] | null | null | null | tests/tokenizers/test_protein_insertion.py | cancervariants/varlex | 3806317fa0125c3098e80124d5169fe6a13d50db | [
"MIT"
] | 15 | 2019-10-23T17:35:42.000Z | 2020-05-05T21:04:01.000Z | tests/tokenizers/test_protein_insertion.py | cancervariants/varlex | 3806317fa0125c3098e80124d5169fe6a13d50db | [
"MIT"
] | null | null | null | """A module for testing Protein Insertion Tokenization."""
import unittest
from variation.tokenizers import ProteinInsertion
from variation.tokenizers.caches import AminoAcidCache, NucleotideCache
from .tokenizer_base import TokenizerBase
class TestProteinInsertionTokenizer(TokenizerBase, unittest.TestCase):
"""A class for testing Protein Insertion Tokenization."""
def tokenizer_instance(self):
"""Return Protein Insertion instance."""
return ProteinInsertion(AminoAcidCache(), NucleotideCache())
def token_type(self):
"""Return protein insertion token type."""
return "ProteinInsertion"
def fixture_name(self):
"""Return the fixture name for protein insertion."""
return "protein_insertion"
| 33.26087 | 71 | 0.743791 | 75 | 765 | 7.52 | 0.413333 | 0.170213 | 0.117021 | 0.092199 | 0.134752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171242 | 765 | 22 | 72 | 34.772727 | 0.88959 | 0.291503 | 0 | 0 | 0 | 0 | 0.063953 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.363636 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
621db13a739bec981f375692f1a7ec4903fa5334 | 120 | py | Python | gym_vizdoom/__init__.py | gian1312/gym-vizdoom | 2e3325d7bf424d707128e93af2df5ec36ac4ec29 | [
"MIT"
] | null | null | null | gym_vizdoom/__init__.py | gian1312/gym-vizdoom | 2e3325d7bf424d707128e93af2df5ec36ac4ec29 | [
"MIT"
] | null | null | null | gym_vizdoom/__init__.py | gian1312/gym-vizdoom | 2e3325d7bf424d707128e93af2df5ec36ac4ec29 | [
"MIT"
] | null | null | null | from gym.envs.registration import register
register(
id='vizdoom-v0',
entry_point='gym_vizdoom.envs:VizdoomEnv',
)
| 17.142857 | 44 | 0.766667 | 16 | 120 | 5.625 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009346 | 0.108333 | 120 | 6 | 45 | 20 | 0.831776 | 0 | 0 | 0 | 0 | 0 | 0.308333 | 0.225 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
6233d44892df7c52824e147518fe1ceca13bdfde | 670 | py | Python | RecoLocalCalo/EcalRecProducers/python/ecalLocalRecoSequence_cff.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | RecoLocalCalo/EcalRecProducers/python/ecalLocalRecoSequence_cff.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | RecoLocalCalo/EcalRecProducers/python/ecalLocalRecoSequence_cff.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
# Calo geometry service model
#ECAL conditions
#
# removed : this goes into CalibCalorimetry/Configuration/data/Ecal_FakeCalibrations.cff
#
# include "CalibCalorimetry/EcalTrivialCondModules/data/EcalTrivialCondRetriever.cfi"
#
#ECAL reconstruction
from RecoLocalCalo.EcalRecProducers.ecalUncalibRecHit_cfi import *
from RecoLocalCalo.EcalRecProducers.ecalRecHit_cfi import *
from RecoLocalCalo.EcalRecProducers.ecalPreshowerRecHit_cfi import *
from RecoLocalCalo.EcalRecProducers.ecalDetIdToBeRecovered_cfi import *
ecalLocalRecoSequence = cms.Sequence(ecalUncalibRecHit*ecalDetIdToBeRecovered*ecalRecHit*ecalPreshowerRecHit)
| 41.875 | 109 | 0.870149 | 61 | 670 | 9.47541 | 0.57377 | 0.117647 | 0.228374 | 0.134948 | 0.217993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070149 | 670 | 15 | 110 | 44.666667 | 0.927769 | 0.347761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
623f2c8335486d62e4a7ad14955c1b04fce60786 | 2,289 | py | Python | conf/settings/base.py | pincoin/ransabai | dbc4f589f2b157d155674a5935734bd5c0d55a06 | [
"MIT"
] | null | null | null | conf/settings/base.py | pincoin/ransabai | dbc4f589f2b157d155674a5935734bd5c0d55a06 | [
"MIT"
] | null | null | null | conf/settings/base.py | pincoin/ransabai | dbc4f589f2b157d155674a5935734bd5c0d55a06 | [
"MIT"
] | null | null | null | import json
from . import BASE_DIR
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deployment/checklist/
secret = json.loads(open(BASE_DIR / 'secret.json').read())
SECRET_KEY = secret['SECRET_KEY']
DEBUG = secret['DEBUG']
ALLOWED_HOSTS = secret['ALLOWED_HOSTS']
DATABASES = secret['DATABASES']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
INSTALLED_APPS += [
'shop',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.locale.LocaleMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'conf.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'conf.wsgi.application'
# Password validation
# https://docs.djangoproject.com/en/3.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', },
{'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', },
{'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', },
{'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', },
]
# Default primary key field type
# https://docs.djangoproject.com/en/3.2/ref/settings/#default-auto-field
DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
| 30.118421 | 91 | 0.710354 | 224 | 2,289 | 7.151786 | 0.415179 | 0.121723 | 0.074282 | 0.052434 | 0.165418 | 0.165418 | 0.06804 | 0.049938 | 0.049938 | 0 | 0 | 0.003098 | 0.153779 | 2,289 | 75 | 92 | 30.52 | 0.823955 | 0.152905 | 0 | 0 | 0 | 0 | 0.608606 | 0.525661 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.096154 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
6249aef2a69d1ee84469684c5bed0f09359c310f | 86 | py | Python | data/studio21_generated/interview/0381/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/interview/0381/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/interview/0381/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | class Solution:
def minSubArrayLen(self, s: int, nums: List[int]) -> int:
| 28.666667 | 61 | 0.604651 | 11 | 86 | 4.727273 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.255814 | 86 | 3 | 62 | 28.666667 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
62665e46b3c4e8f4486b8698883f397266210b4f | 83 | py | Python | q2_api_client/endpoints/q2_config_endpoints.py | jcook00/q2-api-client | 4431af164eb4baf52e26e8842e017cad1609a279 | [
"BSD-2-Clause"
] | null | null | null | q2_api_client/endpoints/q2_config_endpoints.py | jcook00/q2-api-client | 4431af164eb4baf52e26e8842e017cad1609a279 | [
"BSD-2-Clause"
] | null | null | null | q2_api_client/endpoints/q2_config_endpoints.py | jcook00/q2-api-client | 4431af164eb4baf52e26e8842e017cad1609a279 | [
"BSD-2-Clause"
] | null | null | null | from enum import Enum
class Q2ConfigEndpoint(Enum):
Q2_CONFIG = "/q2config"
| 11.857143 | 29 | 0.722892 | 10 | 83 | 5.9 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 0.192771 | 83 | 6 | 30 | 13.833333 | 0.835821 | 0 | 0 | 0 | 0 | 0 | 0.108434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
627f0934ed44bbb53cf7d1b006001e6439320805 | 2,382 | py | Python | hue/schedule.py | paulo6/huecon | 8b89b1d2b0f7a8860facefd1ca0cfe06a0e5963c | [
"MIT"
] | 1 | 2020-02-03T14:40:43.000Z | 2020-02-03T14:40:43.000Z | hue/schedule.py | paulo6/huecon | 8b89b1d2b0f7a8860facefd1ca0cfe06a0e5963c | [
"MIT"
] | 1 | 2018-01-05T15:38:00.000Z | 2018-01-05T15:38:00.000Z | hue/schedule.py | paulo6/huecon | 8b89b1d2b0f7a8860facefd1ca0cfe06a0e5963c | [
"MIT"
] | null | null | null | #
# schedule.py - Contains Hue 'schedule' definitions
#
import enum
import re
from . import common
class Schedule(common.Object):
"""
Represents a Hue schedule.
"""
@property
def name(self):
return self._data['name']
@property
def is_enabled(self):
return Status(self._data['status']) is Status.ENABLED
@property
def timer_time(self):
return self._data['localtime']
@property
def created_time(self):
return common.Time(self._data['created'])
@property
def start_time(self):
return common.Time(self._data['starttime'])
@property
def auto_delete(self):
return self._data['autodelete']
@property
def recycle(self):
return self._data['recycle']
@property
def command_action(self):
command = self._data['command']
# Address is /api/<username>/<resource>/<id>/<item>
# where /<item> may be omitted
match = re.match(r"/api/.*(/\w+/\d+)/?(.*)", command['address'])
full_id, item_addr = match.groups()
obj = self.bridge.get_from_full_id(full_id)
return obj.parse_action(item_addr, command['body'])
def parse_action(self, item_addr, body):
status = body.get("status")
return Action(self, body.get("localtime"),
None if status is None else Status(status))
class Status(enum.Enum):
ENABLED = "enabled"
DISABLED = "disabled"
class Action(common.Action):
def __init__(self, schedule, localtime=None, status=None):
self._schedule = schedule
self._localtime = localtime
self._status = status
@property
def address(self):
return "{}/state".format(self._sensor.full_id)
@property
def body(self):
out = {}
if self._status is not None:
out['status'] = self._status.value
if self._localtime is not None:
out['localtime'] = self._localtime
return out
def __str__(self):
actions = []
if self._status is not None:
actions.append("set status = {}".format(self._status.value))
if self._localtime is not None:
actions.append("set time = {}".format(self._localtime))
return "Schedule '{}': {}".format(self._schedule.name,
", ".join(actions))
| 26.466667 | 72 | 0.593199 | 275 | 2,382 | 4.970909 | 0.265455 | 0.080468 | 0.040966 | 0.05267 | 0.15801 | 0.15801 | 0.103877 | 0.057059 | 0.057059 | 0 | 0 | 0 | 0.276658 | 2,382 | 89 | 73 | 26.764045 | 0.793384 | 0.066331 | 0 | 0.222222 | 0 | 0 | 0.087608 | 0.01044 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206349 | false | 0 | 0.047619 | 0.126984 | 0.52381 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
627f59c609b669372d55520f795397f8c0d93ac5 | 85 | py | Python | porcodio/__init__.py | BranchScope/porcodio | dc24493fdb451d0984d11414f37187f945c930b3 | [
"MIT"
] | 1 | 2021-09-14T09:25:07.000Z | 2021-09-14T09:25:07.000Z | porcodio/__init__.py | BranchScope/porcodio | dc24493fdb451d0984d11414f37187f945c930b3 | [
"MIT"
] | null | null | null | porcodio/__init__.py | BranchScope/porcodio | dc24493fdb451d0984d11414f37187f945c930b3 | [
"MIT"
] | null | null | null | from .porcodio import get_porcodio
__version__ = "1.0.0"
__author__ = "BranchScope"
| 17 | 34 | 0.764706 | 11 | 85 | 5.090909 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040541 | 0.129412 | 85 | 4 | 35 | 21.25 | 0.716216 | 0 | 0 | 0 | 0 | 0 | 0.188235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
656a82b64e8dedf7dc0603736e9997ac86df09b8 | 210 | py | Python | python projects/hip (1).py | levyvix/Python-random-projetcs | 1a8601f006fcb2273b3b65e26a7663c87991e9b9 | [
"MIT"
] | null | null | null | python projects/hip (1).py | levyvix/Python-random-projetcs | 1a8601f006fcb2273b3b65e26a7663c87991e9b9 | [
"MIT"
] | null | null | null | python projects/hip (1).py | levyvix/Python-random-projetcs | 1a8601f006fcb2273b3b65e26a7663c87991e9b9 | [
"MIT"
] | null | null | null | import math
cat1=float(input("comprimento do cateto oposto: "))
cat2=float(input("comprimento do cateteo adjacente:"))
hip= math.pow(cat1,2)+math.pow(cat2,2)
print("hipotenusa: {:.2f}".format(math.sqrt(hip))) | 30 | 54 | 0.728571 | 32 | 210 | 4.78125 | 0.625 | 0.130719 | 0.27451 | 0.300654 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036082 | 0.07619 | 210 | 7 | 55 | 30 | 0.752577 | 0 | 0 | 0 | 0 | 0 | 0.383886 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
656debf3adc601a619e4c347c00dd03d40f92ba1 | 215 | py | Python | tests.py | duncte123/Hungrybot | 2c6f4468b24be9429795d6bba12e9e3c08bd83b1 | [
"MIT"
] | null | null | null | tests.py | duncte123/Hungrybot | 2c6f4468b24be9429795d6bba12e9e3c08bd83b1 | [
"MIT"
] | null | null | null | tests.py | duncte123/Hungrybot | 2c6f4468b24be9429795d6bba12e9e3c08bd83b1 | [
"MIT"
] | null | null | null | import unittest
import sys
if __name__ == "__main__":
suite = unittest.TestLoader().discover("test")
result = unittest.TextTestRunner(verbosity=2).run(suite)
sys.exit(not result.wasSuccessful())
| 26.875 | 61 | 0.702326 | 24 | 215 | 5.958333 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005587 | 0.167442 | 215 | 7 | 62 | 30.714286 | 0.793296 | 0 | 0 | 0 | 0 | 0 | 0.057692 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
65883740dc6201afdea1fbac663dd3ca9cc3bee9 | 1,352 | py | Python | speck/types/raw.py | schctl/speck | 80fdf280e1308ba17d1ca8e951d56a3bda1cd9a8 | [
"MIT"
] | null | null | null | speck/types/raw.py | schctl/speck | 80fdf280e1308ba17d1ca8e951d56a3bda1cd9a8 | [
"MIT"
] | null | null | null | speck/types/raw.py | schctl/speck | 80fdf280e1308ba17d1ca8e951d56a3bda1cd9a8 | [
"MIT"
] | null | null | null | """
Utility classes for easy conversions.
"""
from dataclasses import dataclass
# The use of dataclasses here
# ---------------------------
# The dataclasses module provides a decorator and
# functions for automatically generating special methods
# such as __repr__() for user-defined classes
# [docs](https://docs.python.org/3/library/dataclasses.html).
__all__ = [
'Km',
'Mm',
'Mb',
'Cel'
]
@dataclass()
class Km:
"""Kilometer."""
val: float = 0
def miles(self):
"""Equivalent miles."""
return self.val * 0.6213
def __repr__(self):
return f"{self.val}"
@dataclass()
class Mm:
"""Milimeters."""
val: float = 0
def inches(self):
"""Equivalent inches."""
return self.val * 0.0393
def __repr__(self):
return f"{self.val}"
@dataclass()
class Mb:
"""Milibar."""
val: float = 0
def inches(self):
"""Equivalent inches of Hg."""
return self.val * 0.02952
def __repr__(self):
return f"{self.val}"
@dataclass()
class Cel:
"""Celsius."""
val: float = -273.15
def fahrenheit(self):
"""Equivalent farenheit."""
return (self.val * 1.8) + 32
def kelvin(self):
"""Equivalent farenheit."""
return self.val + 273.15
def __repr__(self):
return f"{self.val}"
| 18.777778 | 61 | 0.571006 | 158 | 1,352 | 4.734177 | 0.424051 | 0.084225 | 0.086898 | 0.090909 | 0.387701 | 0.387701 | 0.291444 | 0.258021 | 0.156417 | 0 | 0 | 0.034102 | 0.262574 | 1,352 | 71 | 62 | 19.042254 | 0.716148 | 0.331361 | 0 | 0.459459 | 0 | 0 | 0.05792 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.243243 | false | 0 | 0.027027 | 0.108108 | 0.72973 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
65977c52122caa1854d2df3c5485a7e08c0d074f | 96 | py | Python | python3-cgdk/model/WeatherType.py | leloykun/russian-ai-cup | aa06dcd594f8a33aa5d1accc128b931812de7297 | [
"MIT"
] | null | null | null | python3-cgdk/model/WeatherType.py | leloykun/russian-ai-cup | aa06dcd594f8a33aa5d1accc128b931812de7297 | [
"MIT"
] | null | null | null | python3-cgdk/model/WeatherType.py | leloykun/russian-ai-cup | aa06dcd594f8a33aa5d1accc128b931812de7297 | [
"MIT"
] | null | null | null | from enum import IntEnum
class WeatherType(IntEnum):
CLEAR = 0
CLOUD = 1
RAIN = 2
| 12 | 27 | 0.635417 | 13 | 96 | 4.692308 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 0.302083 | 96 | 7 | 28 | 13.714286 | 0.865672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
659cde98e493436a73b64df919db04db78824566 | 94 | py | Python | sample_webapp/apps.py | calocan/rescape_graphene | 20b35e7f7020470da7958e9beb1d10b82e1e20cd | [
"MIT"
] | 1 | 2021-05-08T12:04:54.000Z | 2021-05-08T12:04:54.000Z | sample_webapp/apps.py | calocan/rescape_graphene | 20b35e7f7020470da7958e9beb1d10b82e1e20cd | [
"MIT"
] | 6 | 2021-04-08T18:27:30.000Z | 2022-02-10T10:30:50.000Z | sample_webapp/apps.py | rescapes/rescape-graphene | 90ac2002636aa9700d5ea459d6aa0699487379f7 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class WebappConfig(AppConfig):
name = 'sample_webapp'
| 15.666667 | 33 | 0.765957 | 11 | 94 | 6.454545 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.159574 | 94 | 5 | 34 | 18.8 | 0.898734 | 0 | 0 | 0 | 0 | 0 | 0.138298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
65a2ec60c0f71b207ae9371a768d9b0326c91385 | 798 | py | Python | doxyparser/compound/types/docsect3.py | cobhimself/doxyparser | 142fdd3876b187a4efac1df932d26fdb53ba374f | [
"MIT"
] | null | null | null | doxyparser/compound/types/docsect3.py | cobhimself/doxyparser | 142fdd3876b187a4efac1df932d26fdb53ba374f | [
"MIT"
] | null | null | null | doxyparser/compound/types/docsect3.py | cobhimself/doxyparser | 142fdd3876b187a4efac1df932d26fdb53ba374f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Model representation of a docSect3Type from doxygen
<xsd:complexType name="docSect3Type" mixed="true">
<xsd:sequence>
<xsd:element name="title" type="xsd:string" />
<xsd:choice maxOccurs="unbounded">
<xsd:element name="para" type="docParaType" minOccurs="0" maxOccurs="unbounded" />
<xsd:element name="sect4" type="docSect4Type" minOccurs="0" maxOccurs="unbounded" />
<xsd:element name="internal" type="docInternalS3Type" minOccurs="0" />
</xsd:choice>
</xsd:sequence>
<xsd:attribute name="id" type="xsd:string" />
</xsd:complexType>
"""
from ...docsect import DocSect
class DocSect3(DocSect):
def __init__(self, node):
super.__init__(node, '3')
def get_sect4s(self):
return self.get_children('sect4', 'DocSect4')
| 31.92 | 90 | 0.682957 | 96 | 798 | 5.572917 | 0.510417 | 0.074766 | 0.104673 | 0.157009 | 0.216822 | 0.157009 | 0.157009 | 0 | 0 | 0 | 0 | 0.020588 | 0.14787 | 798 | 25 | 91 | 31.92 | 0.766176 | 0.741855 | 0 | 0 | 0 | 0 | 0.070352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0.166667 | 0.833333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
65a57087a372a8001925b674e74c4d82b9452cd5 | 666 | py | Python | links/models.py | suwalszczyzna/libs-django | a023214bb448250764336d9680a65969547360ed | [
"Apache-2.0"
] | null | null | null | links/models.py | suwalszczyzna/libs-django | a023214bb448250764336d9680a65969547360ed | [
"Apache-2.0"
] | null | null | null | links/models.py | suwalszczyzna/libs-django | a023214bb448250764336d9680a65969547360ed | [
"Apache-2.0"
] | null | null | null | from django.db import models
from core.models import NanoIdModel, TimeStampModel
from .managers import PublishedManager
class Tag(NanoIdModel):
name = models.CharField(max_length=100)
def __str__(self):
return self.name
class Link(NanoIdModel, TimeStampModel):
title = models.CharField(max_length=200)
url = models.CharField(max_length=255)
faviconUrl = models.CharField(max_length=255, null=True, blank=True)
tags = models.ManyToManyField(Tag)
published = models.BooleanField(default=False)
objects = PublishedManager()
def __str__(self):
return self.title
class Meta:
ordering = ['created']
| 23.785714 | 72 | 0.717718 | 77 | 666 | 6.051948 | 0.519481 | 0.128755 | 0.154506 | 0.206009 | 0.201717 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022263 | 0.190691 | 666 | 27 | 73 | 24.666667 | 0.842301 | 0 | 0 | 0.111111 | 0 | 0 | 0.010511 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0.111111 | 0.944444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
65c32ef81c09dc57a6d37e2a795090688571c55f | 1,423 | py | Python | qutipy/__init__.py | arnavdas88/QuTIpy | 0cd8263f7f6153b0de86e87479946e5479abc168 | [
"Apache-2.0"
] | null | null | null | qutipy/__init__.py | arnavdas88/QuTIpy | 0cd8263f7f6153b0de86e87479946e5479abc168 | [
"Apache-2.0"
] | null | null | null | qutipy/__init__.py | arnavdas88/QuTIpy | 0cd8263f7f6153b0de86e87479946e5479abc168 | [
"Apache-2.0"
] | null | null | null | # This file is part of the QuTIpy package.
# https://github.com/sumeetkhatri/QuTIpy
#
# Copyright (c) 2022 Sumeet Khatri.
# --.- ..- - .. .--. -.--
#
#
# SPDX-License-Identifier: AGPL-3.0
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import numpy as np
from numpy.linalg import eig, norm
from scipy.linalg import expm, logm
from qutipy.channels import *
from qutipy.Clifford import *
from qutipy.distance_measures import *
from qutipy.entropies import *
from qutipy.fermions import *
from qutipy.fidelities import *
from qutipy.gates import *
from qutipy.general_functions import *
from qutipy.linalg import *
from qutipy.misc import *
from qutipy.Pauli import *
from qutipy.protocols import *
from qutipy.states import *
from qutipy.su import *
from qutipy.Weyl import *
__version__ = "0.1.0"
__author__ = "Sumeet Khatri"
| 31.622222 | 71 | 0.718201 | 202 | 1,423 | 5.009901 | 0.514851 | 0.148221 | 0.221344 | 0.056324 | 0.081028 | 0.055336 | 0 | 0 | 0 | 0 | 0 | 0.008787 | 0.200281 | 1,423 | 44 | 72 | 32.340909 | 0.880492 | 0.543921 | 0 | 0 | 0 | 0 | 0.029364 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.9 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
65ca10616f2c5b4284ea67e28450294ac681ffdd | 25,789 | py | Python | services/traction/api/endpoints/routes/credentials.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | null | null | null | services/traction/api/endpoints/routes/credentials.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | null | null | null | services/traction/api/endpoints/routes/credentials.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | null | null | null | import logging
from typing import List
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from sqlalchemy.ext.asyncio import AsyncSession
from starlette import status
from api.api_client_utils import get_api_client
from api.db.errors import DoesNotExist
from api.db.models.issue_credential import (
IssueCredentialCreate,
IssueCredentialRead,
IssueCredentialUpdate,
)
from api.db.models.present_credential import (
PresentCredentialCreate,
PresentCredentialRead,
PresentCredentialUpdate,
)
from api.db.models.tenant_workflow import (
TenantWorkflowRead,
)
from api.db.repositories.issue_credentials import IssueCredentialsRepository
from api.db.repositories.present_credentials import PresentCredentialsRepository
from api.db.repositories.tenant_workflows import TenantWorkflowsRepository
from api.services.connections import (
get_connection_with_alias,
)
from api.endpoints.dependencies.db import get_db
from api.endpoints.dependencies.tenant_security import get_from_context
from api.endpoints.models.credentials import (
IssueCredentialProtocolType,
CredentialType,
CredentialStateType,
CredentialRoleType,
PresentCredentialProtocolType,
PresentationStateType,
PresentationRoleType,
CredentialPreview,
ProofRequest,
CredPrecisForProof,
CredPresentation,
)
from api.endpoints.models.tenant_workflow import (
TenantWorkflowTypeType,
TenantWorkflowStateType,
)
from api.services.tenant_workflows import create_workflow
from api.services.base import BaseWorkflow
from acapy_client.api.credentials_api import CredentialsApi
from acapy_client.api.present_proof_v1_0_api import PresentProofV10Api
from acapy_client.api.revocation_api import RevocationApi
from acapy_client.model.revoke_request import RevokeRequest
router = APIRouter()
logger = logging.getLogger(__name__)
creds_api = CredentialsApi(api_client=get_api_client())
pres_cred_v10_api = PresentProofV10Api(api_client=get_api_client())
revoc_api = RevocationApi(api_client=get_api_client())
class IssueCredentialData(BaseModel):
credential: IssueCredentialRead | None = None
workflow: TenantWorkflowRead | None = None
class PresentCredentialData(BaseModel):
presentation: PresentCredentialRead | None = None
workflow: TenantWorkflowRead | None = None
@router.get("/issuer/issue", response_model=List[IssueCredentialData])
async def issuer_get_issue_credentials(
state: TenantWorkflowStateType | None = None,
workflow_id: str | None = None,
cred_issue_id: str | None = None,
db: AsyncSession = Depends(get_db),
) -> List[IssueCredentialData]:
# this should take some query params, sorting and paging params...
wallet_id = get_from_context("TENANT_WALLET_ID")
issue_repo = IssueCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
issue_creds = []
if workflow_id:
issue_cred = await issue_repo.get_by_workflow_id(wallet_id, workflow_id)
issue_creds = [
issue_cred,
]
elif cred_issue_id:
issue_cred = await issue_repo.get_by_id(cred_issue_id)
issue_creds = [
issue_cred,
]
else:
issue_creds = await issue_repo.find_by_wallet_id_and_role(
wallet_id, CredentialRoleType.issuer
)
issues = []
for issue_cred in issue_creds:
tenant_workflow = None
if issue_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(issue_cred.workflow_id)
except DoesNotExist:
pass
if (
(not state)
or (not tenant_workflow and state == TenantWorkflowStateType.pending)
or (tenant_workflow and state == tenant_workflow.workflow_state)
):
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
issues.append(issue)
return issues
@router.post("/issuer/issue", response_model=IssueCredentialData)
async def issuer_issue_credential(
cred_protocol: IssueCredentialProtocolType,
credential: CredentialPreview,
cred_def_id: str | None = None,
connection_id: str | None = None,
alias: str | None = None,
db: AsyncSession = Depends(get_db),
) -> IssueCredentialData:
if not connection_id:
existing_connection = get_connection_with_alias(alias)
if not existing_connection:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Error alias {alias} does not exist",
)
connection_id = existing_connection.connection_id
if cred_protocol == IssueCredentialProtocolType.v20:
raise NotImplementedError() # TODO
cred_type = CredentialType.anoncreds
wallet_id = get_from_context("TENANT_WALLET_ID")
tenant_id = get_from_context("TENANT_ID")
issue_repo = IssueCredentialsRepository(db_session=db)
issue_cred = IssueCredentialCreate(
tenant_id=tenant_id,
wallet_id=wallet_id,
connection_id=connection_id,
cred_type=cred_type,
cred_protocol=cred_protocol,
cred_def_id=cred_def_id,
credential=credential.toJSON(),
issue_role=CredentialRoleType.issuer,
issue_state=CredentialStateType.pending,
)
issue_cred = await issue_repo.create(issue_cred)
tenant_workflow = await create_workflow(
wallet_id,
TenantWorkflowTypeType.issue_cred,
db,
error_if_wf_exists=False,
start_workflow=False,
)
logger.debug(f">>> Created tenant_workflow: {tenant_workflow}")
issue_update = IssueCredentialUpdate(
id=issue_cred.id,
workflow_id=tenant_workflow.id,
issue_state=issue_cred.issue_state,
)
issue_cred = await issue_repo.update(issue_update)
logger.debug(f">>> Updated issue_cred: {issue_cred}")
# start workflow
tenant_workflow = await BaseWorkflow.next_workflow_step(
db, tenant_workflow=tenant_workflow
)
logger.debug(f">>> Updated tenant_workflow: {tenant_workflow}")
# get updated issuer info (should have workflow id etc.)
issue_cred = await issue_repo.get_by_id(issue_cred.id)
logger.debug(f">>> Updated (final) issue_cred: {issue_cred}")
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
return issue
@router.post("/issuer/revoke", response_model=IssueCredentialData)
async def issuer_revoke_credential(
cred_issue_id: str | None = None,
rev_reg_id: str | None = None,
cred_rev_id: str | None = None,
comment: str | None = None,
db: AsyncSession = Depends(get_db),
) -> IssueCredentialData:
wallet_id = get_from_context("TENANT_WALLET_ID")
issue_repo = IssueCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
issue_cred = None
if cred_issue_id:
issue_cred = await issue_repo.get_by_id(cred_issue_id)
else:
issue_cred = await issue_repo.get_by_cred_rev_reg_id(
wallet_id, rev_reg_id, cred_rev_id
)
if not (
issue_cred.issue_state == CredentialStateType.done
or issue_cred.issue_state == CredentialStateType.credential_acked
):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Cannot revoke, credential is in state {issue_cred.issue_state}.",
)
# no fancy workflow stuff, just revoke
rev_req = RevokeRequest(
comment=comment if comment else "",
connection_id=str(issue_cred.connection_id),
rev_reg_id=issue_cred.rev_reg_id,
cred_rev_id=issue_cred.cred_rev_id,
publish=True,
notify=True,
)
data = {"body": rev_req}
revoc_api.revocation_revoke_post(**data)
update_issue = IssueCredentialUpdate(
id=issue_cred.id,
workflow_id=issue_cred.workflow_id,
cred_exch_id=issue_cred.cred_exch_id,
issue_state=CredentialStateType.credential_revoked,
)
issue_cred = await issue_repo.update(update_issue)
tenant_workflow = await workflow_repo.get_by_id(issue_cred.workflow_id)
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
return issue
@router.get("/holder/offer", response_model=List[IssueCredentialData])
async def holder_get_offer_credentials(
state: TenantWorkflowStateType | None = None,
workflow_id: str | None = None,
cred_issue_id: str | None = None,
db: AsyncSession = Depends(get_db),
) -> List[IssueCredentialData]:
# this should take some query params, sorting and paging params...
wallet_id = get_from_context("TENANT_WALLET_ID")
issue_repo = IssueCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
issue_creds = []
if workflow_id:
issue_cred = await issue_repo.get_by_workflow_id(wallet_id, workflow_id)
issue_creds = [
issue_cred,
]
elif cred_issue_id:
issue_cred = await issue_repo.get_by_id(cred_issue_id)
issue_creds = [
issue_cred,
]
else:
issue_creds = await issue_repo.find_by_wallet_id_and_role(
wallet_id, CredentialRoleType.holder
)
issues = []
for issue_cred in issue_creds:
tenant_workflow = None
if issue_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(issue_cred.workflow_id)
except DoesNotExist:
pass
if (
(not state)
or (not tenant_workflow and state == TenantWorkflowStateType.pending)
or (tenant_workflow and state == tenant_workflow.workflow_state)
):
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
issues.append(issue)
return issues
@router.post("/holder/accept_offer", response_model=IssueCredentialData)
async def holder_accept_credential(
cred_issue_id: str,
db: AsyncSession = Depends(get_db),
) -> IssueCredentialData:
# holder has to accept a credential offer
issue_repo = IssueCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
issue_cred = await issue_repo.get_by_id(cred_issue_id)
if issue_cred.workflow_id:
tenant_workflow = None
if issue_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(issue_cred.workflow_id)
except DoesNotExist:
pass
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
return issue
tenant_workflow = await create_workflow(
issue_cred.wallet_id,
TenantWorkflowTypeType.issue_cred,
db,
error_if_wf_exists=False,
start_workflow=False,
)
logger.debug(f">>> Created tenant_workflow: {tenant_workflow}")
issue_update = IssueCredentialUpdate(
id=issue_cred.id,
workflow_id=tenant_workflow.id,
cred_exch_id=issue_cred.cred_exch_id,
issue_state=issue_cred.issue_state,
)
issue_cred = await issue_repo.update(issue_update)
logger.debug(f">>> Updated issue_cred: {issue_cred}")
# start workflow
tenant_workflow = await BaseWorkflow.next_workflow_step(
db, tenant_workflow=tenant_workflow
)
logger.debug(f">>> Updated tenant_workflow: {tenant_workflow}")
# get updated issuer info (should have workflow id etc.)
issue_cred = await issue_repo.get_by_id(issue_cred.id)
logger.debug(f">>> Updated (final) issue_cred: {issue_cred}")
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
return issue
@router.post("/holder/reject_offer", response_model=IssueCredentialData)
async def holder_reject_credential(
cred_issue_id: str,
db: AsyncSession = Depends(get_db),
) -> IssueCredentialData:
# holder has to accept a credential offer
issue_repo = IssueCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
issue_cred = await issue_repo.get_by_id(cred_issue_id)
if issue_cred.workflow_id:
tenant_workflow = None
if issue_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(issue_cred.workflow_id)
except DoesNotExist:
pass
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
return issue
tenant_workflow = await create_workflow(
issue_cred.wallet_id,
TenantWorkflowTypeType.issue_cred,
db,
error_if_wf_exists=False,
start_workflow=False,
)
logger.debug(f">>> Created tenant_workflow: {tenant_workflow}")
issue_update = IssueCredentialUpdate(
id=issue_cred.id,
workflow_id=tenant_workflow.id,
cred_exch_id=issue_cred.cred_exch_id,
issue_state=issue_cred.issue_state,
)
issue_cred = await issue_repo.update(issue_update)
logger.debug(f">>> Updated issue_cred: {issue_cred}")
# start workflow
tenant_workflow = await BaseWorkflow.next_workflow_step(
db,
tenant_workflow=tenant_workflow,
with_error=True,
with_error_msg="Credential rejected.",
)
logger.debug(f">>> Updated tenant_workflow: {tenant_workflow}")
# get updated issuer info (should have workflow id etc.)
issue_cred = await issue_repo.get_by_id(issue_cred.id)
logger.debug(f">>> Updated (final) issue_cred: {issue_cred}")
issue = IssueCredentialData(
credential=issue_cred,
workflow=tenant_workflow,
)
return issue
@router.get("/holder/request", response_model=List[PresentCredentialData])
async def holder_get_presentation_requests(
state: TenantWorkflowStateType | None = None,
workflow_id: str | None = None,
pres_req_id: str | None = None,
db: AsyncSession = Depends(get_db),
) -> List[PresentCredentialData]:
# this should take some query params, sorting and paging params...
wallet_id = get_from_context("TENANT_WALLET_ID")
present_repo = PresentCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
present_creds = []
if workflow_id:
present_cred = await present_repo.get_by_workflow_id(wallet_id, workflow_id)
present_creds = [
present_cred,
]
elif pres_req_id:
present_cred = await present_repo.get_by_id(pres_req_id)
present_creds = [
present_cred,
]
else:
present_creds = await present_repo.find_by_wallet_id_and_role(
wallet_id, PresentationRoleType.holder
)
logger.warn(f">>> queued present_creds: {present_creds}")
presentations = []
for present_cred in present_creds:
tenant_workflow = None
if present_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(
present_cred.workflow_id
)
except DoesNotExist:
pass
if (
(not state)
or (not tenant_workflow and state == TenantWorkflowStateType.pending)
or (tenant_workflow and state == tenant_workflow.workflow_state)
):
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
presentations.append(present)
return presentations
@router.get("/holder/creds-for-request", response_model=List[CredPrecisForProof])
async def holder_get_creds_for_pres_request(
pres_req_id: str,
db: AsyncSession = Depends(get_db),
) -> List[PresentCredentialData]:
present_repo = PresentCredentialsRepository(db_session=db)
present_cred = await present_repo.get_by_id(pres_req_id)
creds = pres_cred_v10_api.present_proof_records_pres_ex_id_credentials_get(
str(present_cred.pres_exch_id)
)
cred_precis = []
for cred in creds:
cred_precis.append(
CredPrecisForProof(
cred_info=cred.get("cred_info"),
interval=cred.get("interval"),
presentation_referents=cred.get("presentation_referents"),
)
)
return cred_precis
@router.post("/holder/present-credential", response_model=PresentCredentialData)
async def holder_present_credential(
pres_req_id: str,
presentation: CredPresentation,
db: AsyncSession = Depends(get_db),
) -> PresentCredentialData:
# holder has to present their credential(s)
present_repo = PresentCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
present_cred = await present_repo.get_by_id(pres_req_id)
if present_cred.workflow_id:
tenant_workflow = None
if present_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(
present_cred.workflow_id
)
except DoesNotExist:
pass
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
return present
tenant_workflow = await create_workflow(
present_cred.wallet_id,
TenantWorkflowTypeType.present_cred,
db,
error_if_wf_exists=False,
start_workflow=False,
)
logger.debug(f">>> Created tenant_workflow: {tenant_workflow}")
present_update = PresentCredentialUpdate(
id=present_cred.id,
workflow_id=tenant_workflow.id,
present_state=TenantWorkflowStateType.pending,
pres_exch_id=present_cred.pres_exch_id,
presentation=presentation.toJSON(),
)
present_cred = await present_repo.update(present_update)
logger.debug(f">>> Updated present_cred: {present_cred}")
# start workflow
tenant_workflow = await BaseWorkflow.next_workflow_step(
db, tenant_workflow=tenant_workflow
)
logger.debug(f">>> Updated tenant_workflow: {tenant_workflow}")
# get updated issuer info (should have workflow id etc.)
present_cred = await present_repo.get_by_id(present_cred.id)
logger.debug(f">>> Updated (final) present_cred: {present_cred}")
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
return present
@router.post("/holder/reject-request", response_model=PresentCredentialData)
async def holder_reject_presentation_request(
pres_req_id: str,
db: AsyncSession = Depends(get_db),
) -> PresentCredentialData:
# holder has to present their credential(s)
present_repo = PresentCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
present_cred = await present_repo.get_by_id(pres_req_id)
if present_cred.workflow_id:
tenant_workflow = None
if present_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(
present_cred.workflow_id
)
except DoesNotExist:
pass
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
return present
tenant_workflow = await create_workflow(
present_cred.wallet_id,
TenantWorkflowTypeType.present_cred,
db,
error_if_wf_exists=False,
start_workflow=False,
)
logger.debug(f">>> Created tenant_workflow: {tenant_workflow}")
present_update = PresentCredentialUpdate(
id=present_cred.id,
workflow_id=tenant_workflow.id,
present_state=TenantWorkflowStateType.pending,
pres_exch_id=present_cred.pres_exch_id,
)
present_cred = await present_repo.update(present_update)
logger.debug(f">>> Updated present_cred: {present_cred}")
# start workflow
tenant_workflow = await BaseWorkflow.next_workflow_step(
db,
tenant_workflow=tenant_workflow,
with_error=True,
with_error_msg="Credential request rejected.",
)
logger.debug(f">>> Updated tenant_workflow: {tenant_workflow}")
# get updated issuer info (should have workflow id etc.)
present_cred = await present_repo.get_by_id(present_cred.id)
logger.debug(f">>> Updated (final) present_cred: {present_cred}")
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
return present
@router.get("/holder/", response_model=List[dict])
async def holder_get_credentials(db: AsyncSession = Depends(get_db)) -> List[dict]:
cred_results = creds_api.credentials_get()
creds = []
for cred in cred_results.results:
credential = {
"attrs": cred.attrs,
"cred_def_id": cred.cred_def_id,
"cred_rev_id": cred.cred_rev_id,
"referent": cred.referent,
"rev_reg_id": cred.rev_reg_id,
"schema_id": cred.schema_id,
}
creds.append(credential)
return creds
@router.get("/verifier/request", response_model=List[PresentCredentialData])
async def verifier_get_request_credentials(
state: TenantWorkflowStateType | None = None,
workflow_id: str | None = None,
pres_req_id: str | None = None,
db: AsyncSession = Depends(get_db),
) -> List[PresentCredentialData]:
# this should take some query params, sorting and paging params...
wallet_id = get_from_context("TENANT_WALLET_ID")
present_repo = PresentCredentialsRepository(db_session=db)
workflow_repo = TenantWorkflowsRepository(db_session=db)
present_creds = []
if workflow_id:
present_cred = await present_repo.get_by_workflow_id(wallet_id, workflow_id)
present_creds = [
present_cred,
]
elif pres_req_id:
present_cred = await present_repo.get_by_id(pres_req_id)
present_creds = [
present_cred,
]
else:
present_creds = await present_repo.find_by_wallet_id_and_role(
wallet_id, PresentationRoleType.verifier
)
logger.warn(f">>> queued present_creds: {present_creds}")
presentations = []
for present_cred in present_creds:
tenant_workflow = None
if present_cred.workflow_id:
try:
tenant_workflow = await workflow_repo.get_by_id(
present_cred.workflow_id
)
except DoesNotExist:
pass
if (
(not state)
or (not tenant_workflow and state == TenantWorkflowStateType.pending)
or (tenant_workflow and state == tenant_workflow.workflow_state)
):
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
presentations.append(present)
return presentations
@router.post("/verifier/request", response_model=PresentCredentialData)
async def verifier_request_credentials(
pres_protocol: PresentCredentialProtocolType,
proof_req: ProofRequest,
connection_id: str | None = None,
alias: str | None = None,
db: AsyncSession = Depends(get_db),
) -> PresentCredentialData:
if not connection_id:
existing_connection = get_connection_with_alias(alias)
if not existing_connection:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Error alias {alias} does not exist",
)
connection_id = existing_connection.connection_id
if pres_protocol == PresentCredentialProtocolType.v20:
raise NotImplementedError() # TODO
wallet_id = get_from_context("TENANT_WALLET_ID")
tenant_id = get_from_context("TENANT_ID")
present_repo = PresentCredentialsRepository(db_session=db)
present_cred = PresentCredentialCreate(
tenant_id=tenant_id,
wallet_id=wallet_id,
connection_id=connection_id,
cred_protocol=pres_protocol,
present_request=proof_req.toJSON(),
present_role=PresentationRoleType.verifier,
present_state=PresentationStateType.pending,
)
present_cred = await present_repo.create(present_cred)
tenant_workflow = await create_workflow(
wallet_id,
TenantWorkflowTypeType.present_cred,
db,
error_if_wf_exists=False,
start_workflow=False,
)
logger.debug(f">>> Created tenant_workflow: {tenant_workflow}")
present_update = PresentCredentialUpdate(
id=present_cred.id,
workflow_id=tenant_workflow.id,
present_state=present_cred.present_state,
)
present_cred = await present_repo.update(present_update)
logger.debug(f">>> Updated present_update: {present_update}")
# start workflow
tenant_workflow = await BaseWorkflow.next_workflow_step(
db, tenant_workflow=tenant_workflow
)
logger.debug(f">>> Updated tenant_workflow: {tenant_workflow}")
# get updated issuer info (should have workflow id etc.)
present_cred = await present_repo.get_by_id(present_cred.id)
logger.debug(f">>> Updated (final) present_cred: {present_cred}")
present = PresentCredentialData(
presentation=present_cred,
workflow=tenant_workflow,
)
return present
| 34.523427 | 87 | 0.688511 | 2,875 | 25,789 | 5.852174 | 0.073391 | 0.08321 | 0.050996 | 0.016345 | 0.769807 | 0.752333 | 0.717266 | 0.696404 | 0.690461 | 0.681605 | 0 | 0.001166 | 0.235023 | 25,789 | 746 | 88 | 34.569705 | 0.851683 | 0.034511 | 0 | 0.64915 | 0 | 0 | 0.071196 | 0.004824 | 0 | 0 | 0 | 0.00134 | 0 | 1 | 0 | false | 0.012365 | 0.03864 | 0 | 0.074189 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0296a574204aef94e38ce4afcc62ad1e6f0db902 | 512 | py | Python | packages/syft/src/syft/lib/python/primitive_interface.py | callezenwaka/PySyft | 2545c302441cfe727ec095c4f9aa136bff02be32 | [
"Apache-1.1"
] | 1 | 2021-09-14T10:56:43.000Z | 2021-09-14T10:56:43.000Z | packages/syft/src/syft/lib/python/primitive_interface.py | callezenwaka/PySyft | 2545c302441cfe727ec095c4f9aa136bff02be32 | [
"Apache-1.1"
] | 2 | 2021-04-02T10:12:44.000Z | 2021-04-02T10:12:50.000Z | packages/syft/src/syft/lib/python/primitive_interface.py | callezenwaka/PySyft | 2545c302441cfe727ec095c4f9aa136bff02be32 | [
"Apache-1.1"
] | 1 | 2021-08-19T12:23:01.000Z | 2021-08-19T12:23:01.000Z | # stdlib
from typing import Any
# relative
from ...core.common import UID
from ...core.common.serde.serializable import Serializable
class PyPrimitive(Serializable):
def __init__(self, temporary_box: bool = False) -> None:
self._id: UID
# sometimes we need to serialize a python primitive in such a way that we can
# deserialize it back as that primitive later. This flag allows us to do that.
self.temporary_box = temporary_box
def upcast(self) -> Any:
pass
| 26.947368 | 86 | 0.695313 | 71 | 512 | 4.901408 | 0.661972 | 0.103448 | 0.08046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.234375 | 512 | 18 | 87 | 28.444444 | 0.887755 | 0.328125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.111111 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 |
02a81c54b7ae5d7c3a9723d2ad65ccbcab51b37a | 181 | py | Python | projects/code_combat/4_Backwoods_Forest/187-Burlbole_Grove/burbole_grove.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | projects/code_combat/4_Backwoods_Forest/187-Burlbole_Grove/burbole_grove.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | projects/code_combat/4_Backwoods_Forest/187-Burlbole_Grove/burbole_grove.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | def shouldAttack(target):
return target and target.type != "burl"
while True:
enemy = hero.findNearestEnemy()
if shouldAttack(enemy):
hero.attack(enemy)
| 22.625 | 44 | 0.651934 | 20 | 181 | 5.9 | 0.7 | 0.152542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.243094 | 181 | 7 | 45 | 25.857143 | 0.861314 | 0 | 0 | 0 | 0 | 0 | 0.022989 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0.166667 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
02b171d7f9aca04eee4490c5e5d16eba855e0336 | 3,363 | py | Python | VTiger_KPI_Dashboard/sales/migrations/0001_initial.py | roovyshapiro/VTiger_Sales_Dashboard | c20687ed8cd5aea8df6a6868b94389eb3b069d3a | [
"MIT"
] | 2 | 2020-12-15T20:24:14.000Z | 2022-01-26T23:56:41.000Z | VTiger_KPI_Dashboard/sales/migrations/0001_initial.py | roovyshapiro/VTiger_Sales_Dashboard | c20687ed8cd5aea8df6a6868b94389eb3b069d3a | [
"MIT"
] | 6 | 2021-04-08T19:35:25.000Z | 2021-10-05T00:45:27.000Z | VTiger_KPI_Dashboard/sales/migrations/0001_initial.py | roovyshapiro/VTiger_Sales_Dashboard | c20687ed8cd5aea8df6a6868b94389eb3b069d3a | [
"MIT"
] | 13 | 2021-06-09T20:58:10.000Z | 2022-03-21T16:02:42.000Z | # Generated by Django 3.0.3 on 2020-12-14 20:35
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Opportunities',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('opp_id', models.CharField(max_length=50)),
('contact_id', models.CharField(max_length=50)),
('opp_no', models.CharField(max_length=50)),
('opp_name', models.CharField(max_length=250)),
('opp_stage', models.CharField(max_length=50)),
('createdtime', models.DateTimeField()),
('modifiedtime', models.DateTimeField()),
('created_user_id', models.CharField(max_length=50)),
('modifiedby', models.CharField(max_length=50)),
('assigned_user_id', models.CharField(max_length=50)),
('assigned_username', models.CharField(max_length=75)),
('assigned_groupname', models.CharField(max_length=75)),
('current_stage_entry_time', models.DateTimeField(null=True)),
('demo_scheduled_changed_at', models.DateTimeField(null=True)),
('demo_given_changed_at', models.DateTimeField(null=True)),
('quote_sent_changed_at', models.DateTimeField(null=True)),
('pilot_changed_at', models.DateTimeField(null=True)),
('needs_analysis_changed_at', models.DateTimeField(null=True)),
('closed_lost_changed_at', models.DateTimeField(null=True)),
('closed_won_changed_at', models.DateTimeField(null=True)),
('date_created', models.DateTimeField(auto_now_add=True)),
('date_modified', models.DateTimeField(auto_now=True)),
],
),
migrations.CreateModel(
name='Phone_call',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('createdtime', models.DateTimeField(null=True)),
('modifiedtime', models.DateTimeField(null=True)),
('endtime', models.DateTimeField(null=True)),
('assigned_user_id', models.CharField(max_length=50)),
('created_user_id', models.CharField(max_length=50)),
('modified_by', models.CharField(max_length=50)),
('assigned_username', models.CharField(max_length=50)),
('assigned_groupname', models.CharField(max_length=50)),
('phonecall_id', models.CharField(max_length=50)),
('call_status', models.CharField(max_length=50)),
('direction', models.CharField(max_length=50)),
('total_duration', models.CharField(max_length=50)),
('customer', models.CharField(max_length=50)),
('customer_number', models.CharField(max_length=50)),
('recording_url', models.CharField(max_length=250)),
('date_created', models.DateTimeField(auto_now_add=True)),
('date_modified', models.DateTimeField(auto_now=True)),
],
),
]
| 50.954545 | 114 | 0.590544 | 334 | 3,363 | 5.691617 | 0.257485 | 0.173593 | 0.208311 | 0.277749 | 0.710679 | 0.605997 | 0.356654 | 0.312467 | 0.24303 | 0.24303 | 0 | 0.024868 | 0.270592 | 3,363 | 65 | 115 | 51.738462 | 0.750102 | 0.013381 | 0 | 0.310345 | 1 | 0 | 0.175814 | 0.047949 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.017241 | 0 | 0.086207 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
02b4ea3752ad8723ae81b8e23bb9968592f35ce4 | 1,825 | py | Python | models.py | shepherd-dc/flask-blog | d0e21ee103553812012eb99cf44d5dd7e6d16007 | [
"MIT"
] | null | null | null | models.py | shepherd-dc/flask-blog | d0e21ee103553812012eb99cf44d5dd7e6d16007 | [
"MIT"
] | null | null | null | models.py | shepherd-dc/flask-blog | d0e21ee103553812012eb99cf44d5dd7e6d16007 | [
"MIT"
] | null | null | null | from exts import db
from datetime import datetime
from werkzeug.security import generate_password_hash, check_password_hash
class User(db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
email = db.Column(db.String(50), nullable=False)
username = db.Column(db.String(50), nullable=False)
password = db.Column(db.String(100), nullable=False)
def __init__(self, *args, **kwargs):
email = kwargs.get('email')
username = kwargs.get('username')
password = kwargs.get('password')
self.email = email
self.username = username
self.password = generate_password_hash(password)
def check_password(self, raw_password):
result = check_password_hash(self.password, raw_password)
return result
class Question(db.Model):
__tablename__ = 'question'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
title = db.Column(db.String(100), nullable=False)
content = db.Column(db.Text, nullable=False)
create_time = db.Column(db.DateTime, default=datetime.now, nullable=False)
author_id = db.Column(db.Integer, db.ForeignKey('user.id'))
author = db.relationship('User', backref=db.backref('questions'))
class Answer(db.Model):
__tablename__ = 'answer'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
content = db.Column(db.Text, nullable=False)
create_time = db.Column(db.DateTime, default=datetime.now, nullable=False)
question_id = db.Column(db.Integer, db.ForeignKey('question.id'))
author_id = db.Column(db.Integer, db.ForeignKey('user.id'))
question = db.relationship('Question', backref=db.backref('answers', order_by=create_time.desc()))
author = db.relationship('User', backref=db.backref('answers'))
| 42.44186 | 102 | 0.705205 | 238 | 1,825 | 5.252101 | 0.235294 | 0.0896 | 0.112 | 0.0576 | 0.54 | 0.54 | 0.5272 | 0.3376 | 0.3376 | 0.3376 | 0 | 0.006536 | 0.161644 | 1,825 | 42 | 103 | 43.452381 | 0.810458 | 0 | 0 | 0.25 | 1 | 0 | 0.056438 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.166667 | 0.083333 | 0 | 0.805556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
02bb2da24c58a8706f937111f67d4bb1c15d8982 | 8,612 | py | Python | supereeg/simulate.py | tmuntianu/supereeg | cd6e3ca1a898f091ef2696281c9ea32d1baf3eea | [
"MIT"
] | 27 | 2018-03-30T22:15:18.000Z | 2022-03-18T02:53:18.000Z | supereeg/simulate.py | tmuntianu/supereeg | cd6e3ca1a898f091ef2696281c9ea32d1baf3eea | [
"MIT"
] | 86 | 2018-03-30T02:58:18.000Z | 2021-07-07T01:45:31.000Z | supereeg/simulate.py | tmuntianu/supereeg | cd6e3ca1a898f091ef2696281c9ea32d1baf3eea | [
"MIT"
] | 16 | 2018-03-30T03:04:00.000Z | 2020-03-20T16:51:29.000Z | from __future__ import division
import warnings
import scipy
import numpy as np
import pandas as pd
from sklearn import datasets
from .brain import Brain
def simulate_locations(n_elecs=10, set_random_seed=False):
"""
Simulate iEEG locations
Parameters
----------
n_elecs : int
Number of electrodes
set_random_seed : bool or int
Default False. If True, set random seed to 123. If int, set random
seed to value.
Returns
----------
elecs : pd.DataFrame
A location by coordinate (x,y,z) matrix of simulated electrode locations
"""
if set_random_seed:
if isinstance(set_random_seed, int):
np.random.seed(set_random_seed)
else:
np.random.seed(123)
sim_locs = np.array([[np.random.randint(-50, 50), np.random.randint(-50, 50),
np.random.randint(-50, 50)] for i in range(n_elecs)])
locs = np.unique(sim_locs, axis=0)
return pd.DataFrame(locs, columns=['x', 'y', 'z'])
def simulate_model_bos(n_samples=1000, locs=None, sample_locs=None, cov='random',
sample_rate=1000, sessions=None, meta=None, noise=.1,
set_random_seed=False):
"""
Simulate brain object
Parameters
----------
n_samples : int
Number of time samples
locs : np.ndarray or pd.DataFrame
A location by coordinate (x,y,z) matrix of simulated electrode locations
sample_locs : int
Number of subsampled electrode location to create each brain object
cov : str or np.array
The covariance structure of the data.
If 'eye', the covariance will be the identity matrix.
If 'toeplitz', the covariance will be a toeplitz matrix.
If 'random', uses a random semidefinite matrix with a set random seed.
If 'distance'calculates the euclidean distance between each electrode.
You can also pass a custom covariance matrix by simply passing
numpy array that is n_elecs by n_elecs
sample_rate : int or float
Sample rate (Hz)
sessions : list
Sesssions
meta : str
Meta info
noise : int or float
Noise added to simulation
set_random_seed : bool or int
Default False. If True, set random seed to 123. If int, set random seed to value.
Returns
----------
bo : Brain data object
Instance of Brain data object containing simulated subject data and locations
"""
data, sub_locs= simulate_model_data(n_samples=n_samples, locs=locs, sample_locs=sample_locs, cov=cov, noise=noise, set_random_seed=set_random_seed)
return Brain(data=data, locs=sub_locs, sample_rate=sample_rate,
sessions=sessions, meta=meta)
def simulate_model_data(n_samples=1000, n_elecs=170, locs=None, sample_locs=None,
cov='random', noise=.1, set_random_seed=False):
"""
Simulate iEEG data
Parameters
----------
n_samples : int
Number of time samples
n_elecs : int
Number of electrodes
locs : np.ndarray or pd.DataFrame
A location by coordinate (x,y,z) matrix of simulated electrode locations
sample_locs : int
Number of subsampled electrode location to create each brain object
cov : str or np.array
The covariance structure of the data.
If 'eye', the covariance will be the identity matrix.
If 'toeplitz', the covariance will be a toeplitz matrix.
If 'random', uses a random semidefinite matrix with a set random seed.
If 'distance'calculates the euclidean distance between each electrode.
You can also pass a custom covariance matrix by simply passing
numpy array that is n_elecs by n_elecs
noise : int or float
Noise added to simulation
set_random_seed : bool or int
Default False (choose a random seed). If True, set random seed to 123. If int, set random seed to the specified value.
Returns
----------
data : np.ndarray
A samples by number of electrodes array of simulated iEEG data
sub_locs : pd.DataFrame
A location by coordinate (x,y,z) matrix of simulated electrode locations
"""
if set_random_seed:
if isinstance(set_random_seed, int):
np.random.seed(set_random_seed)
else:
np.random.seed(123)
set_random_seed = 123
else:
set_random_seed = None
if type(locs) is np.ndarray:
locs = pd.DataFrame(locs, columns=['x', 'y', 'z'])
if locs is not None and cov is 'distance':
R = 1 - scipy.spatial.distance.cdist(locs, locs, metric='euclidean')
R -= np.min(R)
R /= np.max(R)
cov = 2*R - 1
if sample_locs is not None:
R = create_cov(cov, n_elecs=len(locs))
n = np.random.normal(0, noise, len(locs))
R = R+n*n.T
sub_locs = locs.sample(sample_locs, random_state=set_random_seed).sort_values(['x', 'y', 'z'])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
full_data = np.random.multivariate_normal(np.zeros(len(locs)), R, size=n_samples)
data = full_data[:, sub_locs.index]
return data, sub_locs
else:
R = create_cov(cov, n_elecs=len(locs))
n_elecs = len(locs)
return np.random.multivariate_normal(np.zeros(n_elecs), R, size=n_samples), locs
def simulate_bo(n_samples=1000, n_elecs=10, locs=None, cov='random',
sample_rate=1000, sessions=None, meta=None, noise=.1,
random_seed=False):
"""
Simulate brain object
Parameters
----------
n_samples : int
Number of time samples
n_elecs : int
Number of electrodes
locs : np.ndarray or pd.DataFrame
A location by coordinate (x,y,z) matrix of simulated electrode locations
cov : str or np.array
The covariance structure of the data.
If 'eye', the covariance will be the identity matrix.
If 'toeplitz', the covariance will be a toeplitz matrix.
If 'random', uses a random semidefinite matrix with a set random seed.
If 'distance'calculates the euclidean distance between each electrode.
You can also pass a custom covariance matrix by simply passing
numpy array that is n_elecs by n_elecs.
sample_rate : int or float
Sample rate (Hz)
sessions : list
Sesssions
meta : str
Meta info
noise : int or float
Noise added to simulation
random_seed : bool or int
Default False. If True, set random seed to 123. If int, set random
seed to value.
Returns
----------
bo : Brain data object
Instance of Brain data object containing simulated subject data and
locations
"""
if locs is None:
locs = simulate_locations(n_elecs=n_elecs)
else:
n_elecs=locs.shape[0]
if type(sessions) is int:
sessions = np.sort([x + 1 for x in range(sessions)] * int(np.floor(np.divide(n_samples, sessions))))
data, locs = simulate_model_data(n_samples=n_samples, n_elecs=n_elecs, locs=locs, cov=cov, noise=noise, set_random_seed=random_seed)
return Brain(data=data, locs=locs, sample_rate=sample_rate,
sessions=sessions, meta=meta)
def create_cov(cov, n_elecs=10):
"""
Creates covariance matrix of specified type
Parameters
----------
cov : str or np.array
The covariance structure of the data.
If 'eye', the covariance will be the identity matrix.
If 'toeplitz', the covariance will be a toeplitz matrix.
If 'random', uses a random semidefinite matrix with a set random seed.
If 'distance'calculates the euclidean distance between each electrode.
You can also pass a custom covariance matrix by simply passing
numpy array that is n_elecs by n_elecs.
n_elecs : int
Number of electrodes
Returns
----------
R : np.ndarray
Numpy array containing the covariance structure in the specified
dimension (n_elecs x n_elecs)
"""
if cov is 'eye':
R = np.eye(n_elecs)
elif cov is 'toeplitz':
R = scipy.linalg.toeplitz(np.linspace(0, 1, n_elecs)[::-1])
elif cov is 'random':
R = datasets.make_spd_matrix(n_elecs, random_state=1)
R -= np.min(R)
R /= np.max(R)
elif isinstance(cov, np.ndarray):
R = cov
return R
| 29.493151 | 151 | 0.631212 | 1,200 | 8,612 | 4.4175 | 0.1325 | 0.071685 | 0.073571 | 0.022637 | 0.744011 | 0.730051 | 0.701 | 0.664026 | 0.632334 | 0.622147 | 0 | 0.012336 | 0.284603 | 8,612 | 291 | 152 | 29.594502 | 0.848077 | 0.525197 | 0 | 0.294872 | 0 | 0 | 0.018948 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064103 | false | 0 | 0.089744 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
02f5cdaefcd9e21d9c360da51d916169536f2867 | 551,178 | py | Python | tests/examples/minlplib/ibs2.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 2 | 2021-07-03T13:19:10.000Z | 2022-02-06T10:48:13.000Z | tests/examples/minlplib/ibs2.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 1 | 2021-07-04T14:52:14.000Z | 2021-07-15T10:17:11.000Z | tests/examples/minlplib/ibs2.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | null | null | null | # MINLP written by GAMS Convert at 04/21/18 13:52:25
#
# Equation counts
# Total E G L N X C B
# 1822 11 10 1801 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc si
# Total cont binary integer sos1 sos2 scont sint
# 3011 1511 1500 0 0 0 0 0
# FX 0 0 0 0 0 0 0 0
#
# Nonzero counts
# Total const NL DLL
# 13511 10511 3000 0
#
# Reformulation has removed 1 variable and 1 equation
from pyomo.environ import *
model = m = ConcreteModel()
m.b1 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b2 = Var(within=Binary,bounds=(0,1),initialize=0)
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m.b1396 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1397 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1398 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1399 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1400 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1401 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1402 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1403 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1404 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1405 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1406 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1407 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1408 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1409 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1410 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1411 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1412 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1413 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1414 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1415 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1416 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1417 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1418 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1419 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1420 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1421 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1422 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1423 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1424 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1425 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1426 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1427 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1428 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1429 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1430 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1431 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1432 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1433 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1434 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1435 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1436 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1437 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1438 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1439 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1440 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1441 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1442 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1443 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1444 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1445 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1446 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1447 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1448 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1449 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1450 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1451 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1452 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1453 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1454 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1455 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1456 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1457 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1458 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1459 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1460 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1461 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1462 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1463 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1464 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1465 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1466 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1467 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1468 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1469 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1470 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1471 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1472 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1473 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1474 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1475 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1476 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1477 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1478 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1479 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1480 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1481 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1482 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1483 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1484 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1485 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1486 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1487 = Var(within=Binary,bounds=(0,1),initialize=0)
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m.b1495 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1496 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1497 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1498 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1499 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b1500 = Var(within=Binary,bounds=(0,1),initialize=0)
m.x1501 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1502 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1503 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1504 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1506 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1507 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1509 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1510 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1511 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1512 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1513 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1514 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1515 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1516 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1517 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1518 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1519 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1520 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1521 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1522 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1523 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1524 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1525 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1526 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1527 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1528 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1529 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1530 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1531 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1532 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1533 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1534 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1535 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1536 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1537 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1538 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1539 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1540 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1541 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1542 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1543 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1544 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1545 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1546 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1547 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1548 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1549 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1550 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1551 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1552 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1553 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1554 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1555 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1556 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1557 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1558 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1559 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1560 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1561 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1562 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1563 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1564 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1565 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1566 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1567 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1568 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1569 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1570 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1571 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1572 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1573 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1574 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1576 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1577 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1578 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1579 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1580 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1581 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1582 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1583 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1585 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1586 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1587 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1588 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1589 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1590 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1591 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1592 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1593 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1597 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1600 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1607 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1608 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1609 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1611 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1612 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1613 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1614 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1616 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1617 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1618 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1620 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1621 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1622 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1623 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1624 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1627 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1628 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1635 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1637 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1653 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1654 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1655 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x1656 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x1724 = Var(within=Reals,bounds=(0,45),initialize=0)
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m.x2705 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2706 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2707 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2708 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2709 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2710 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2711 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2712 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2713 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2714 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2715 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2716 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2717 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2718 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2719 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2720 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2721 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2722 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2723 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2724 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2725 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2726 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2727 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2728 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2729 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2730 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2731 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2732 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2733 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2734 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2735 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2736 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2737 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2738 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2739 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2740 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2741 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2742 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2743 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2744 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2745 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2746 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2747 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2748 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2749 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2750 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2751 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2752 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2753 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2754 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2755 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2756 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2757 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2758 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2759 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2760 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2761 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2762 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2763 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2764 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2765 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2766 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2767 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2768 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2769 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2770 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2771 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2772 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2773 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2774 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2775 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2776 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2777 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2778 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2779 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2780 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2781 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2782 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2783 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2784 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2785 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2786 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2787 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2788 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2789 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2790 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2791 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2792 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2793 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2794 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2795 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2796 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2797 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2798 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2799 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2800 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2801 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2802 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2803 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2804 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2805 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2806 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2807 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2808 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2809 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2810 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2811 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2812 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2813 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2814 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2815 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2816 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2817 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2818 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2819 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2820 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2821 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2822 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2823 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2824 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2825 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2826 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2827 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2828 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2829 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2830 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2831 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2832 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2833 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2834 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2835 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2836 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2837 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2838 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2839 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2840 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2841 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2842 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2843 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2844 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2845 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2846 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2847 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2848 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2849 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2850 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2851 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2852 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2853 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2854 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2855 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2856 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2857 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2858 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2859 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2860 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2861 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2862 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2863 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2864 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2865 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2866 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2867 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2868 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2869 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2870 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2871 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2872 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2873 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2874 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2875 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2876 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2877 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2878 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2879 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2880 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2881 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2882 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2883 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2884 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2885 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2886 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2887 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2888 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2889 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2890 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2891 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2892 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2893 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2894 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2895 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2896 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2897 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2898 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2899 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2900 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2901 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2902 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2903 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2904 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2905 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2906 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2907 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2908 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2909 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2910 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2911 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2912 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2913 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2914 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2915 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2916 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2917 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2918 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2919 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2920 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2921 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2922 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2923 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2924 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2925 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2926 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2927 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2928 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2929 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2930 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2931 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2932 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2933 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2934 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2935 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2936 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2937 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2938 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2939 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2940 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2941 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2942 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2943 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2944 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2945 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2946 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2947 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2948 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2949 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2950 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2951 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2952 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2953 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2954 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2955 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2956 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2957 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2958 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2959 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2960 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2961 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2962 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2963 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2964 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2965 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2966 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2967 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2968 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2969 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2970 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2971 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2972 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2973 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2974 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2975 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2976 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2977 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2978 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2979 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2980 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2981 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2982 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2983 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2984 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2985 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2986 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2987 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2988 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2989 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2990 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2991 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2992 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2993 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2994 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2995 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2996 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2997 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2998 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x2999 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x3000 = Var(within=Reals,bounds=(0,45),initialize=0)
m.x3001 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3002 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3003 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3004 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3005 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3006 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3007 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3008 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3009 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x3010 = Var(within=Reals,bounds=(0,None),initialize=0)
m.obj = Objective(expr= m.x1501 + m.x1502 + m.x1503 + m.x1504 + m.x1505 + m.x1506 + m.x1507 + m.x1508 + m.x1509
+ m.x1510 + m.x1511 + m.x1512 + m.x1513 + m.x1514 + m.x1515 + m.x1516 + m.x1517 + m.x1518
+ m.x1519 + m.x1520 + m.x1521 + m.x1522 + m.x1523 + m.x1524 + m.x1525 + m.x1526 + m.x1527
+ m.x1528 + m.x1529 + m.x1530 + m.x1531 + m.x1532 + m.x1533 + m.x1534 + m.x1535 + m.x1536
+ m.x1537 + m.x1538 + m.x1539 + m.x1540 + m.x1541 + m.x1542 + m.x1543 + m.x1544 + m.x1545
+ m.x1546 + m.x1547 + m.x1548 + m.x1549 + m.x1550 + m.x1551 + m.x1552 + m.x1553 + m.x1554
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+ m.x2869 + m.x2870 + m.x2871 + m.x2872 + m.x2873 + m.x2874 + m.x2875 + m.x2876 + m.x2877
+ m.x2878 + m.x2879 + m.x2880 + m.x2881 + m.x2882 + m.x2883 + m.x2884 + m.x2885 + m.x2886
+ m.x2887 + m.x2888 + m.x2889 + m.x2890 + m.x2891 + m.x2892 + m.x2893 + m.x2894 + m.x2895
+ m.x2896 + m.x2897 + m.x2898 + m.x2899 + m.x2900 + m.x2901 + m.x2902 + m.x2903 + m.x2904
+ m.x2905 + m.x2906 + m.x2907 + m.x2908 + m.x2909 + m.x2910 + m.x2911 + m.x2912 + m.x2913
+ m.x2914 + m.x2915 + m.x2916 + m.x2917 + m.x2918 + m.x2919 + m.x2920 + m.x2921 + m.x2922
+ m.x2923 + m.x2924 + m.x2925 + m.x2926 + m.x2927 + m.x2928 + m.x2929 + m.x2930 + m.x2931
+ m.x2932 + m.x2933 + m.x2934 + m.x2935 + m.x2936 + m.x2937 + m.x2938 + m.x2939 + m.x2940
+ m.x2941 + m.x2942 + m.x2943 + m.x2944 + m.x2945 + m.x2946 + m.x2947 + m.x2948 + m.x2949
+ m.x2950 + m.x2951 + m.x2952 + m.x2953 + m.x2954 + m.x2955 + m.x2956 + m.x2957 + m.x2958
+ m.x2959 + m.x2960 + m.x2961 + m.x2962 + m.x2963 + m.x2964 + m.x2965 + m.x2966 + m.x2967
+ m.x2968 + m.x2969 + m.x2970 + m.x2971 + m.x2972 + m.x2973 + m.x2974 + m.x2975 + m.x2976
+ m.x2977 + m.x2978 + m.x2979 + m.x2980 + m.x2981 + m.x2982 + m.x2983 + m.x2984 + m.x2985
+ m.x2986 + m.x2987 + m.x2988 + m.x2989 + m.x2990 + m.x2991 + m.x2992 + m.x2993 + m.x2994
+ m.x2995 + m.x2996 + m.x2997 + m.x2998 + m.x2999 + m.x3000, sense=minimize)
m.c1 = Constraint(expr= - m.x1501 - m.x1502 - m.x1503 - m.x1504 - m.x1505 - m.x1506 - m.x1507 - m.x1508 - m.x1509
- m.x1510 - m.x1511 - m.x1512 - m.x1513 - m.x1514 - m.x1515 - m.x1516 - m.x1517 - m.x1518
- m.x1519 - m.x1520 - m.x1521 - m.x1522 - m.x1523 - m.x1524 - m.x1525 - m.x1526 - m.x1527
- m.x1528 - m.x1529 - m.x1530 - m.x1531 - m.x1532 - m.x1533 - m.x1534 - m.x1535 - m.x1536
- m.x1537 - m.x1538 - m.x1539 - m.x1540 - m.x1541 - m.x1542 - m.x1543 - m.x1544 - m.x1545
- m.x1546 - m.x1547 - m.x1548 - m.x1549 - m.x1550 - m.x1551 - m.x1552 - m.x1553 - m.x1554
- m.x1555 - m.x1556 - m.x1557 - m.x1558 - m.x1559 - m.x1560 - m.x1561 - m.x1562 - m.x1563
- m.x1564 - m.x1565 - m.x1566 - m.x1567 - m.x1568 - m.x1569 - m.x1570 - m.x1571 - m.x1572
- m.x1573 - m.x1574 - m.x1575 - m.x1576 - m.x1577 - m.x1578 - m.x1579 - m.x1580 - m.x1581
- m.x1582 - m.x1583 - m.x1584 - m.x1585 - m.x1586 - m.x1587 - m.x1588 - m.x1589 - m.x1590
- m.x1591 - m.x1592 - m.x1593 - m.x1594 - m.x1595 - m.x1596 - m.x1597 - m.x1598 - m.x1599
- m.x1600 - m.x1601 - m.x1602 - m.x1603 - m.x1604 - m.x1605 - m.x1606 - m.x1607 - m.x1608
- m.x1609 - m.x1610 - m.x1611 - m.x1612 - m.x1613 - m.x1614 - m.x1615 - m.x1616 - m.x1617
- m.x1618 - m.x1619 - m.x1620 - m.x1621 - m.x1622 - m.x1623 - m.x1624 - m.x1625 - m.x1626
- m.x1627 - m.x1628 - m.x1629 - m.x1630 - m.x1631 - m.x1632 - m.x1633 - m.x1634 - m.x1635
- m.x1636 - m.x1637 - m.x1638 - m.x1639 - m.x1640 - m.x1641 - m.x1642 - m.x1643 - m.x1644
- m.x1645 - m.x1646 - m.x1647 - m.x1648 - m.x1649 - m.x1650 - m.x1651 - m.x1652 - m.x1653
- m.x1654 - m.x1655 - m.x1656 - m.x1657 - m.x1658 - m.x1659 - m.x1660 - m.x1661 - m.x1662
- m.x1663 - m.x1664 - m.x1665 - m.x1666 - m.x1667 - m.x1668 - m.x1669 - m.x1670 - m.x1671
- m.x1672 - m.x1673 - m.x1674 - m.x1675 - m.x1676 - m.x1677 - m.x1678 - m.x1679 - m.x1680
- m.x1681 - m.x1682 - m.x1683 - m.x1684 - m.x1685 - m.x1686 - m.x1687 - m.x1688 - m.x1689
- m.x1690 - m.x1691 - m.x1692 - m.x1693 - m.x1694 - m.x1695 - m.x1696 - m.x1697 - m.x1698
- m.x1699 - m.x1700 - m.x1701 - m.x1702 - m.x1703 - m.x1704 - m.x1705 - m.x1706 - m.x1707
- m.x1708 - m.x1709 - m.x1710 - m.x1711 - m.x1712 - m.x1713 - m.x1714 - m.x1715 - m.x1716
- m.x1717 - m.x1718 - m.x1719 - m.x1720 - m.x1721 - m.x1722 - m.x1723 - m.x1724 - m.x1725
- m.x1726 - m.x1727 - m.x1728 - m.x1729 - m.x1730 - m.x1731 - m.x1732 - m.x1733 - m.x1734
- m.x1735 - m.x1736 - m.x1737 - m.x1738 - m.x1739 - m.x1740 - m.x1741 - m.x1742 - m.x1743
- m.x1744 - m.x1745 - m.x1746 - m.x1747 - m.x1748 - m.x1749 - m.x1750 - m.x1751 - m.x1752
- m.x1753 - m.x1754 - m.x1755 - m.x1756 - m.x1757 - m.x1758 - m.x1759 - m.x1760 - m.x1761
- m.x1762 - m.x1763 - m.x1764 - m.x1765 - m.x1766 - m.x1767 - m.x1768 - m.x1769 - m.x1770
- m.x1771 - m.x1772 - m.x1773 - m.x1774 - m.x1775 - m.x1776 - m.x1777 - m.x1778 - m.x1779
- m.x1780 - m.x1781 - m.x1782 - m.x1783 - m.x1784 - m.x1785 - m.x1786 - m.x1787 - m.x1788
- m.x1789 - m.x1790 - m.x1791 - m.x1792 - m.x1793 - m.x1794 - m.x1795 - m.x1796 - m.x1797
- m.x1798 - m.x1799 - m.x1800 + m.x3006 == 0)
m.c2 = Constraint(expr= - m.x1801 - m.x1802 - m.x1803 - m.x1804 - m.x1805 - m.x1806 - m.x1807 - m.x1808 - m.x1809
- m.x1810 - m.x1811 - m.x1812 - m.x1813 - m.x1814 - m.x1815 - m.x1816 - m.x1817 - m.x1818
- m.x1819 - m.x1820 - m.x1821 - m.x1822 - m.x1823 - m.x1824 - m.x1825 - m.x1826 - m.x1827
- m.x1828 - m.x1829 - m.x1830 - m.x1831 - m.x1832 - m.x1833 - m.x1834 - m.x1835 - m.x1836
- m.x1837 - m.x1838 - m.x1839 - m.x1840 - m.x1841 - m.x1842 - m.x1843 - m.x1844 - m.x1845
- m.x1846 - m.x1847 - m.x1848 - m.x1849 - m.x1850 - m.x1851 - m.x1852 - m.x1853 - m.x1854
- m.x1855 - m.x1856 - m.x1857 - m.x1858 - m.x1859 - m.x1860 - m.x1861 - m.x1862 - m.x1863
- m.x1864 - m.x1865 - m.x1866 - m.x1867 - m.x1868 - m.x1869 - m.x1870 - m.x1871 - m.x1872
- m.x1873 - m.x1874 - m.x1875 - m.x1876 - m.x1877 - m.x1878 - m.x1879 - m.x1880 - m.x1881
- m.x1882 - m.x1883 - m.x1884 - m.x1885 - m.x1886 - m.x1887 - m.x1888 - m.x1889 - m.x1890
- m.x1891 - m.x1892 - m.x1893 - m.x1894 - m.x1895 - m.x1896 - m.x1897 - m.x1898 - m.x1899
- m.x1900 - m.x1901 - m.x1902 - m.x1903 - m.x1904 - m.x1905 - m.x1906 - m.x1907 - m.x1908
- m.x1909 - m.x1910 - m.x1911 - m.x1912 - m.x1913 - m.x1914 - m.x1915 - m.x1916 - m.x1917
- m.x1918 - m.x1919 - m.x1920 - m.x1921 - m.x1922 - m.x1923 - m.x1924 - m.x1925 - m.x1926
- m.x1927 - m.x1928 - m.x1929 - m.x1930 - m.x1931 - m.x1932 - m.x1933 - m.x1934 - m.x1935
- m.x1936 - m.x1937 - m.x1938 - m.x1939 - m.x1940 - m.x1941 - m.x1942 - m.x1943 - m.x1944
- m.x1945 - m.x1946 - m.x1947 - m.x1948 - m.x1949 - m.x1950 - m.x1951 - m.x1952 - m.x1953
- m.x1954 - m.x1955 - m.x1956 - m.x1957 - m.x1958 - m.x1959 - m.x1960 - m.x1961 - m.x1962
- m.x1963 - m.x1964 - m.x1965 - m.x1966 - m.x1967 - m.x1968 - m.x1969 - m.x1970 - m.x1971
- m.x1972 - m.x1973 - m.x1974 - m.x1975 - m.x1976 - m.x1977 - m.x1978 - m.x1979 - m.x1980
- m.x1981 - m.x1982 - m.x1983 - m.x1984 - m.x1985 - m.x1986 - m.x1987 - m.x1988 - m.x1989
- m.x1990 - m.x1991 - m.x1992 - m.x1993 - m.x1994 - m.x1995 - m.x1996 - m.x1997 - m.x1998
- m.x1999 - m.x2000 - m.x2001 - m.x2002 - m.x2003 - m.x2004 - m.x2005 - m.x2006 - m.x2007
- m.x2008 - m.x2009 - m.x2010 - m.x2011 - m.x2012 - m.x2013 - m.x2014 - m.x2015 - m.x2016
- m.x2017 - m.x2018 - m.x2019 - m.x2020 - m.x2021 - m.x2022 - m.x2023 - m.x2024 - m.x2025
- m.x2026 - m.x2027 - m.x2028 - m.x2029 - m.x2030 - m.x2031 - m.x2032 - m.x2033 - m.x2034
- m.x2035 - m.x2036 - m.x2037 - m.x2038 - m.x2039 - m.x2040 - m.x2041 - m.x2042 - m.x2043
- m.x2044 - m.x2045 - m.x2046 - m.x2047 - m.x2048 - m.x2049 - m.x2050 - m.x2051 - m.x2052
- m.x2053 - m.x2054 - m.x2055 - m.x2056 - m.x2057 - m.x2058 - m.x2059 - m.x2060 - m.x2061
- m.x2062 - m.x2063 - m.x2064 - m.x2065 - m.x2066 - m.x2067 - m.x2068 - m.x2069 - m.x2070
- m.x2071 - m.x2072 - m.x2073 - m.x2074 - m.x2075 - m.x2076 - m.x2077 - m.x2078 - m.x2079
- m.x2080 - m.x2081 - m.x2082 - m.x2083 - m.x2084 - m.x2085 - m.x2086 - m.x2087 - m.x2088
- m.x2089 - m.x2090 - m.x2091 - m.x2092 - m.x2093 - m.x2094 - m.x2095 - m.x2096 - m.x2097
- m.x2098 - m.x2099 - m.x2100 + m.x3007 == 0)
m.c3 = Constraint(expr= - m.x2101 - m.x2102 - m.x2103 - m.x2104 - m.x2105 - m.x2106 - m.x2107 - m.x2108 - m.x2109
- m.x2110 - m.x2111 - m.x2112 - m.x2113 - m.x2114 - m.x2115 - m.x2116 - m.x2117 - m.x2118
- m.x2119 - m.x2120 - m.x2121 - m.x2122 - m.x2123 - m.x2124 - m.x2125 - m.x2126 - m.x2127
- m.x2128 - m.x2129 - m.x2130 - m.x2131 - m.x2132 - m.x2133 - m.x2134 - m.x2135 - m.x2136
- m.x2137 - m.x2138 - m.x2139 - m.x2140 - m.x2141 - m.x2142 - m.x2143 - m.x2144 - m.x2145
- m.x2146 - m.x2147 - m.x2148 - m.x2149 - m.x2150 - m.x2151 - m.x2152 - m.x2153 - m.x2154
- m.x2155 - m.x2156 - m.x2157 - m.x2158 - m.x2159 - m.x2160 - m.x2161 - m.x2162 - m.x2163
- m.x2164 - m.x2165 - m.x2166 - m.x2167 - m.x2168 - m.x2169 - m.x2170 - m.x2171 - m.x2172
- m.x2173 - m.x2174 - m.x2175 - m.x2176 - m.x2177 - m.x2178 - m.x2179 - m.x2180 - m.x2181
- m.x2182 - m.x2183 - m.x2184 - m.x2185 - m.x2186 - m.x2187 - m.x2188 - m.x2189 - m.x2190
- m.x2191 - m.x2192 - m.x2193 - m.x2194 - m.x2195 - m.x2196 - m.x2197 - m.x2198 - m.x2199
- m.x2200 - m.x2201 - m.x2202 - m.x2203 - m.x2204 - m.x2205 - m.x2206 - m.x2207 - m.x2208
- m.x2209 - m.x2210 - m.x2211 - m.x2212 - m.x2213 - m.x2214 - m.x2215 - m.x2216 - m.x2217
- m.x2218 - m.x2219 - m.x2220 - m.x2221 - m.x2222 - m.x2223 - m.x2224 - m.x2225 - m.x2226
- m.x2227 - m.x2228 - m.x2229 - m.x2230 - m.x2231 - m.x2232 - m.x2233 - m.x2234 - m.x2235
- m.x2236 - m.x2237 - m.x2238 - m.x2239 - m.x2240 - m.x2241 - m.x2242 - m.x2243 - m.x2244
- m.x2245 - m.x2246 - m.x2247 - m.x2248 - m.x2249 - m.x2250 - m.x2251 - m.x2252 - m.x2253
- m.x2254 - m.x2255 - m.x2256 - m.x2257 - m.x2258 - m.x2259 - m.x2260 - m.x2261 - m.x2262
- m.x2263 - m.x2264 - m.x2265 - m.x2266 - m.x2267 - m.x2268 - m.x2269 - m.x2270 - m.x2271
- m.x2272 - m.x2273 - m.x2274 - m.x2275 - m.x2276 - m.x2277 - m.x2278 - m.x2279 - m.x2280
- m.x2281 - m.x2282 - m.x2283 - m.x2284 - m.x2285 - m.x2286 - m.x2287 - m.x2288 - m.x2289
- m.x2290 - m.x2291 - m.x2292 - m.x2293 - m.x2294 - m.x2295 - m.x2296 - m.x2297 - m.x2298
- m.x2299 - m.x2300 - m.x2301 - m.x2302 - m.x2303 - m.x2304 - m.x2305 - m.x2306 - m.x2307
- m.x2308 - m.x2309 - m.x2310 - m.x2311 - m.x2312 - m.x2313 - m.x2314 - m.x2315 - m.x2316
- m.x2317 - m.x2318 - m.x2319 - m.x2320 - m.x2321 - m.x2322 - m.x2323 - m.x2324 - m.x2325
- m.x2326 - m.x2327 - m.x2328 - m.x2329 - m.x2330 - m.x2331 - m.x2332 - m.x2333 - m.x2334
- m.x2335 - m.x2336 - m.x2337 - m.x2338 - m.x2339 - m.x2340 - m.x2341 - m.x2342 - m.x2343
- m.x2344 - m.x2345 - m.x2346 - m.x2347 - m.x2348 - m.x2349 - m.x2350 - m.x2351 - m.x2352
- m.x2353 - m.x2354 - m.x2355 - m.x2356 - m.x2357 - m.x2358 - m.x2359 - m.x2360 - m.x2361
- m.x2362 - m.x2363 - m.x2364 - m.x2365 - m.x2366 - m.x2367 - m.x2368 - m.x2369 - m.x2370
- m.x2371 - m.x2372 - m.x2373 - m.x2374 - m.x2375 - m.x2376 - m.x2377 - m.x2378 - m.x2379
- m.x2380 - m.x2381 - m.x2382 - m.x2383 - m.x2384 - m.x2385 - m.x2386 - m.x2387 - m.x2388
- m.x2389 - m.x2390 - m.x2391 - m.x2392 - m.x2393 - m.x2394 - m.x2395 - m.x2396 - m.x2397
- m.x2398 - m.x2399 - m.x2400 + m.x3008 == 0)
m.c4 = Constraint(expr= - m.x2401 - m.x2402 - m.x2403 - m.x2404 - m.x2405 - m.x2406 - m.x2407 - m.x2408 - m.x2409
- m.x2410 - m.x2411 - m.x2412 - m.x2413 - m.x2414 - m.x2415 - m.x2416 - m.x2417 - m.x2418
- m.x2419 - m.x2420 - m.x2421 - m.x2422 - m.x2423 - m.x2424 - m.x2425 - m.x2426 - m.x2427
- m.x2428 - m.x2429 - m.x2430 - m.x2431 - m.x2432 - m.x2433 - m.x2434 - m.x2435 - m.x2436
- m.x2437 - m.x2438 - m.x2439 - m.x2440 - m.x2441 - m.x2442 - m.x2443 - m.x2444 - m.x2445
- m.x2446 - m.x2447 - m.x2448 - m.x2449 - m.x2450 - m.x2451 - m.x2452 - m.x2453 - m.x2454
- m.x2455 - m.x2456 - m.x2457 - m.x2458 - m.x2459 - m.x2460 - m.x2461 - m.x2462 - m.x2463
- m.x2464 - m.x2465 - m.x2466 - m.x2467 - m.x2468 - m.x2469 - m.x2470 - m.x2471 - m.x2472
- m.x2473 - m.x2474 - m.x2475 - m.x2476 - m.x2477 - m.x2478 - m.x2479 - m.x2480 - m.x2481
- m.x2482 - m.x2483 - m.x2484 - m.x2485 - m.x2486 - m.x2487 - m.x2488 - m.x2489 - m.x2490
- m.x2491 - m.x2492 - m.x2493 - m.x2494 - m.x2495 - m.x2496 - m.x2497 - m.x2498 - m.x2499
- m.x2500 - m.x2501 - m.x2502 - m.x2503 - m.x2504 - m.x2505 - m.x2506 - m.x2507 - m.x2508
- m.x2509 - m.x2510 - m.x2511 - m.x2512 - m.x2513 - m.x2514 - m.x2515 - m.x2516 - m.x2517
- m.x2518 - m.x2519 - m.x2520 - m.x2521 - m.x2522 - m.x2523 - m.x2524 - m.x2525 - m.x2526
- m.x2527 - m.x2528 - m.x2529 - m.x2530 - m.x2531 - m.x2532 - m.x2533 - m.x2534 - m.x2535
- m.x2536 - m.x2537 - m.x2538 - m.x2539 - m.x2540 - m.x2541 - m.x2542 - m.x2543 - m.x2544
- m.x2545 - m.x2546 - m.x2547 - m.x2548 - m.x2549 - m.x2550 - m.x2551 - m.x2552 - m.x2553
- m.x2554 - m.x2555 - m.x2556 - m.x2557 - m.x2558 - m.x2559 - m.x2560 - m.x2561 - m.x2562
- m.x2563 - m.x2564 - m.x2565 - m.x2566 - m.x2567 - m.x2568 - m.x2569 - m.x2570 - m.x2571
- m.x2572 - m.x2573 - m.x2574 - m.x2575 - m.x2576 - m.x2577 - m.x2578 - m.x2579 - m.x2580
- m.x2581 - m.x2582 - m.x2583 - m.x2584 - m.x2585 - m.x2586 - m.x2587 - m.x2588 - m.x2589
- m.x2590 - m.x2591 - m.x2592 - m.x2593 - m.x2594 - m.x2595 - m.x2596 - m.x2597 - m.x2598
- m.x2599 - m.x2600 - m.x2601 - m.x2602 - m.x2603 - m.x2604 - m.x2605 - m.x2606 - m.x2607
- m.x2608 - m.x2609 - m.x2610 - m.x2611 - m.x2612 - m.x2613 - m.x2614 - m.x2615 - m.x2616
- m.x2617 - m.x2618 - m.x2619 - m.x2620 - m.x2621 - m.x2622 - m.x2623 - m.x2624 - m.x2625
- m.x2626 - m.x2627 - m.x2628 - m.x2629 - m.x2630 - m.x2631 - m.x2632 - m.x2633 - m.x2634
- m.x2635 - m.x2636 - m.x2637 - m.x2638 - m.x2639 - m.x2640 - m.x2641 - m.x2642 - m.x2643
- m.x2644 - m.x2645 - m.x2646 - m.x2647 - m.x2648 - m.x2649 - m.x2650 - m.x2651 - m.x2652
- m.x2653 - m.x2654 - m.x2655 - m.x2656 - m.x2657 - m.x2658 - m.x2659 - m.x2660 - m.x2661
- m.x2662 - m.x2663 - m.x2664 - m.x2665 - m.x2666 - m.x2667 - m.x2668 - m.x2669 - m.x2670
- m.x2671 - m.x2672 - m.x2673 - m.x2674 - m.x2675 - m.x2676 - m.x2677 - m.x2678 - m.x2679
- m.x2680 - m.x2681 - m.x2682 - m.x2683 - m.x2684 - m.x2685 - m.x2686 - m.x2687 - m.x2688
- m.x2689 - m.x2690 - m.x2691 - m.x2692 - m.x2693 - m.x2694 - m.x2695 - m.x2696 - m.x2697
- m.x2698 - m.x2699 - m.x2700 + m.x3009 == 0)
m.c5 = Constraint(expr= - m.x2701 - m.x2702 - m.x2703 - m.x2704 - m.x2705 - m.x2706 - m.x2707 - m.x2708 - m.x2709
- m.x2710 - m.x2711 - m.x2712 - m.x2713 - m.x2714 - m.x2715 - m.x2716 - m.x2717 - m.x2718
- m.x2719 - m.x2720 - m.x2721 - m.x2722 - m.x2723 - m.x2724 - m.x2725 - m.x2726 - m.x2727
- m.x2728 - m.x2729 - m.x2730 - m.x2731 - m.x2732 - m.x2733 - m.x2734 - m.x2735 - m.x2736
- m.x2737 - m.x2738 - m.x2739 - m.x2740 - m.x2741 - m.x2742 - m.x2743 - m.x2744 - m.x2745
- m.x2746 - m.x2747 - m.x2748 - m.x2749 - m.x2750 - m.x2751 - m.x2752 - m.x2753 - m.x2754
- m.x2755 - m.x2756 - m.x2757 - m.x2758 - m.x2759 - m.x2760 - m.x2761 - m.x2762 - m.x2763
- m.x2764 - m.x2765 - m.x2766 - m.x2767 - m.x2768 - m.x2769 - m.x2770 - m.x2771 - m.x2772
- m.x2773 - m.x2774 - m.x2775 - m.x2776 - m.x2777 - m.x2778 - m.x2779 - m.x2780 - m.x2781
- m.x2782 - m.x2783 - m.x2784 - m.x2785 - m.x2786 - m.x2787 - m.x2788 - m.x2789 - m.x2790
- m.x2791 - m.x2792 - m.x2793 - m.x2794 - m.x2795 - m.x2796 - m.x2797 - m.x2798 - m.x2799
- m.x2800 - m.x2801 - m.x2802 - m.x2803 - m.x2804 - m.x2805 - m.x2806 - m.x2807 - m.x2808
- m.x2809 - m.x2810 - m.x2811 - m.x2812 - m.x2813 - m.x2814 - m.x2815 - m.x2816 - m.x2817
- m.x2818 - m.x2819 - m.x2820 - m.x2821 - m.x2822 - m.x2823 - m.x2824 - m.x2825 - m.x2826
- m.x2827 - m.x2828 - m.x2829 - m.x2830 - m.x2831 - m.x2832 - m.x2833 - m.x2834 - m.x2835
- m.x2836 - m.x2837 - m.x2838 - m.x2839 - m.x2840 - m.x2841 - m.x2842 - m.x2843 - m.x2844
- m.x2845 - m.x2846 - m.x2847 - m.x2848 - m.x2849 - m.x2850 - m.x2851 - m.x2852 - m.x2853
- m.x2854 - m.x2855 - m.x2856 - m.x2857 - m.x2858 - m.x2859 - m.x2860 - m.x2861 - m.x2862
- m.x2863 - m.x2864 - m.x2865 - m.x2866 - m.x2867 - m.x2868 - m.x2869 - m.x2870 - m.x2871
- m.x2872 - m.x2873 - m.x2874 - m.x2875 - m.x2876 - m.x2877 - m.x2878 - m.x2879 - m.x2880
- m.x2881 - m.x2882 - m.x2883 - m.x2884 - m.x2885 - m.x2886 - m.x2887 - m.x2888 - m.x2889
- m.x2890 - m.x2891 - m.x2892 - m.x2893 - m.x2894 - m.x2895 - m.x2896 - m.x2897 - m.x2898
- m.x2899 - m.x2900 - m.x2901 - m.x2902 - m.x2903 - m.x2904 - m.x2905 - m.x2906 - m.x2907
- m.x2908 - m.x2909 - m.x2910 - m.x2911 - m.x2912 - m.x2913 - m.x2914 - m.x2915 - m.x2916
- m.x2917 - m.x2918 - m.x2919 - m.x2920 - m.x2921 - m.x2922 - m.x2923 - m.x2924 - m.x2925
- m.x2926 - m.x2927 - m.x2928 - m.x2929 - m.x2930 - m.x2931 - m.x2932 - m.x2933 - m.x2934
- m.x2935 - m.x2936 - m.x2937 - m.x2938 - m.x2939 - m.x2940 - m.x2941 - m.x2942 - m.x2943
- m.x2944 - m.x2945 - m.x2946 - m.x2947 - m.x2948 - m.x2949 - m.x2950 - m.x2951 - m.x2952
- m.x2953 - m.x2954 - m.x2955 - m.x2956 - m.x2957 - m.x2958 - m.x2959 - m.x2960 - m.x2961
- m.x2962 - m.x2963 - m.x2964 - m.x2965 - m.x2966 - m.x2967 - m.x2968 - m.x2969 - m.x2970
- m.x2971 - m.x2972 - m.x2973 - m.x2974 - m.x2975 - m.x2976 - m.x2977 - m.x2978 - m.x2979
- m.x2980 - m.x2981 - m.x2982 - m.x2983 - m.x2984 - m.x2985 - m.x2986 - m.x2987 - m.x2988
- m.x2989 - m.x2990 - m.x2991 - m.x2992 - m.x2993 - m.x2994 - m.x2995 - m.x2996 - m.x2997
- m.x2998 - m.x2999 - m.x3000 + m.x3010 == 0)
m.c6 = Constraint(expr= - m.b1 - m.b2 - m.b3 - m.b4 - m.b5 - m.b6 - m.b7 - m.b8 - m.b9 - m.b10 - m.b11 - m.b12 - m.b13
- m.b14 - m.b15 - m.b16 - m.b17 - m.b18 - m.b19 - m.b20 - m.b21 - m.b22 - m.b23 - m.b24 - m.b25
- m.b26 - m.b27 - m.b28 - m.b29 - m.b30 - m.b31 - m.b32 - m.b33 - m.b34 - m.b35 - m.b36 - m.b37
- m.b38 - m.b39 - m.b40 - m.b41 - m.b42 - m.b43 - m.b44 - m.b45 - m.b46 - m.b47 - m.b48 - m.b49
- m.b50 - m.b51 - m.b52 - m.b53 - m.b54 - m.b55 - m.b56 - m.b57 - m.b58 - m.b59 - m.b60 - m.b61
- m.b62 - m.b63 - m.b64 - m.b65 - m.b66 - m.b67 - m.b68 - m.b69 - m.b70 - m.b71 - m.b72 - m.b73
- m.b74 - m.b75 - m.b76 - m.b77 - m.b78 - m.b79 - m.b80 - m.b81 - m.b82 - m.b83 - m.b84 - m.b85
- m.b86 - m.b87 - m.b88 - m.b89 - m.b90 - m.b91 - m.b92 - m.b93 - m.b94 - m.b95 - m.b96 - m.b97
- m.b98 - m.b99 - m.b100 - m.b101 - m.b102 - m.b103 - m.b104 - m.b105 - m.b106 - m.b107 - m.b108
- m.b109 - m.b110 - m.b111 - m.b112 - m.b113 - m.b114 - m.b115 - m.b116 - m.b117 - m.b118
- m.b119 - m.b120 - m.b121 - m.b122 - m.b123 - m.b124 - m.b125 - m.b126 - m.b127 - m.b128
- m.b129 - m.b130 - m.b131 - m.b132 - m.b133 - m.b134 - m.b135 - m.b136 - m.b137 - m.b138
- m.b139 - m.b140 - m.b141 - m.b142 - m.b143 - m.b144 - m.b145 - m.b146 - m.b147 - m.b148
- m.b149 - m.b150 - m.b151 - m.b152 - m.b153 - m.b154 - m.b155 - m.b156 - m.b157 - m.b158
- m.b159 - m.b160 - m.b161 - m.b162 - m.b163 - m.b164 - m.b165 - m.b166 - m.b167 - m.b168
- m.b169 - m.b170 - m.b171 - m.b172 - m.b173 - m.b174 - m.b175 - m.b176 - m.b177 - m.b178
- m.b179 - m.b180 - m.b181 - m.b182 - m.b183 - m.b184 - m.b185 - m.b186 - m.b187 - m.b188
- m.b189 - m.b190 - m.b191 - m.b192 - m.b193 - m.b194 - m.b195 - m.b196 - m.b197 - m.b198
- m.b199 - m.b200 - m.b201 - m.b202 - m.b203 - m.b204 - m.b205 - m.b206 - m.b207 - m.b208
- m.b209 - m.b210 - m.b211 - m.b212 - m.b213 - m.b214 - m.b215 - m.b216 - m.b217 - m.b218
- m.b219 - m.b220 - m.b221 - m.b222 - m.b223 - m.b224 - m.b225 - m.b226 - m.b227 - m.b228
- m.b229 - m.b230 - m.b231 - m.b232 - m.b233 - m.b234 - m.b235 - m.b236 - m.b237 - m.b238
- m.b239 - m.b240 - m.b241 - m.b242 - m.b243 - m.b244 - m.b245 - m.b246 - m.b247 - m.b248
- m.b249 - m.b250 - m.b251 - m.b252 - m.b253 - m.b254 - m.b255 - m.b256 - m.b257 - m.b258
- m.b259 - m.b260 - m.b261 - m.b262 - m.b263 - m.b264 - m.b265 - m.b266 - m.b267 - m.b268
- m.b269 - m.b270 - m.b271 - m.b272 - m.b273 - m.b274 - m.b275 - m.b276 - m.b277 - m.b278
- m.b279 - m.b280 - m.b281 - m.b282 - m.b283 - m.b284 - m.b285 - m.b286 - m.b287 - m.b288
- m.b289 - m.b290 - m.b291 - m.b292 - m.b293 - m.b294 - m.b295 - m.b296 - m.b297 - m.b298
- m.b299 - m.b300 + m.x3001 == 0)
m.c7 = Constraint(expr= - m.b301 - m.b302 - m.b303 - m.b304 - m.b305 - m.b306 - m.b307 - m.b308 - m.b309 - m.b310
- m.b311 - m.b312 - m.b313 - m.b314 - m.b315 - m.b316 - m.b317 - m.b318 - m.b319 - m.b320
- m.b321 - m.b322 - m.b323 - m.b324 - m.b325 - m.b326 - m.b327 - m.b328 - m.b329 - m.b330
- m.b331 - m.b332 - m.b333 - m.b334 - m.b335 - m.b336 - m.b337 - m.b338 - m.b339 - m.b340
- m.b341 - m.b342 - m.b343 - m.b344 - m.b345 - m.b346 - m.b347 - m.b348 - m.b349 - m.b350
- m.b351 - m.b352 - m.b353 - m.b354 - m.b355 - m.b356 - m.b357 - m.b358 - m.b359 - m.b360
- m.b361 - m.b362 - m.b363 - m.b364 - m.b365 - m.b366 - m.b367 - m.b368 - m.b369 - m.b370
- m.b371 - m.b372 - m.b373 - m.b374 - m.b375 - m.b376 - m.b377 - m.b378 - m.b379 - m.b380
- m.b381 - m.b382 - m.b383 - m.b384 - m.b385 - m.b386 - m.b387 - m.b388 - m.b389 - m.b390
- m.b391 - m.b392 - m.b393 - m.b394 - m.b395 - m.b396 - m.b397 - m.b398 - m.b399 - m.b400
- m.b401 - m.b402 - m.b403 - m.b404 - m.b405 - m.b406 - m.b407 - m.b408 - m.b409 - m.b410
- m.b411 - m.b412 - m.b413 - m.b414 - m.b415 - m.b416 - m.b417 - m.b418 - m.b419 - m.b420
- m.b421 - m.b422 - m.b423 - m.b424 - m.b425 - m.b426 - m.b427 - m.b428 - m.b429 - m.b430
- m.b431 - m.b432 - m.b433 - m.b434 - m.b435 - m.b436 - m.b437 - m.b438 - m.b439 - m.b440
- m.b441 - m.b442 - m.b443 - m.b444 - m.b445 - m.b446 - m.b447 - m.b448 - m.b449 - m.b450
- m.b451 - m.b452 - m.b453 - m.b454 - m.b455 - m.b456 - m.b457 - m.b458 - m.b459 - m.b460
- m.b461 - m.b462 - m.b463 - m.b464 - m.b465 - m.b466 - m.b467 - m.b468 - m.b469 - m.b470
- m.b471 - m.b472 - m.b473 - m.b474 - m.b475 - m.b476 - m.b477 - m.b478 - m.b479 - m.b480
- m.b481 - m.b482 - m.b483 - m.b484 - m.b485 - m.b486 - m.b487 - m.b488 - m.b489 - m.b490
- m.b491 - m.b492 - m.b493 - m.b494 - m.b495 - m.b496 - m.b497 - m.b498 - m.b499 - m.b500
- m.b501 - m.b502 - m.b503 - m.b504 - m.b505 - m.b506 - m.b507 - m.b508 - m.b509 - m.b510
- m.b511 - m.b512 - m.b513 - m.b514 - m.b515 - m.b516 - m.b517 - m.b518 - m.b519 - m.b520
- m.b521 - m.b522 - m.b523 - m.b524 - m.b525 - m.b526 - m.b527 - m.b528 - m.b529 - m.b530
- m.b531 - m.b532 - m.b533 - m.b534 - m.b535 - m.b536 - m.b537 - m.b538 - m.b539 - m.b540
- m.b541 - m.b542 - m.b543 - m.b544 - m.b545 - m.b546 - m.b547 - m.b548 - m.b549 - m.b550
- m.b551 - m.b552 - m.b553 - m.b554 - m.b555 - m.b556 - m.b557 - m.b558 - m.b559 - m.b560
- m.b561 - m.b562 - m.b563 - m.b564 - m.b565 - m.b566 - m.b567 - m.b568 - m.b569 - m.b570
- m.b571 - m.b572 - m.b573 - m.b574 - m.b575 - m.b576 - m.b577 - m.b578 - m.b579 - m.b580
- m.b581 - m.b582 - m.b583 - m.b584 - m.b585 - m.b586 - m.b587 - m.b588 - m.b589 - m.b590
- m.b591 - m.b592 - m.b593 - m.b594 - m.b595 - m.b596 - m.b597 - m.b598 - m.b599 - m.b600
+ m.x3002 == 0)
m.c8 = Constraint(expr= - m.b601 - m.b602 - m.b603 - m.b604 - m.b605 - m.b606 - m.b607 - m.b608 - m.b609 - m.b610
- m.b611 - m.b612 - m.b613 - m.b614 - m.b615 - m.b616 - m.b617 - m.b618 - m.b619 - m.b620
- m.b621 - m.b622 - m.b623 - m.b624 - m.b625 - m.b626 - m.b627 - m.b628 - m.b629 - m.b630
- m.b631 - m.b632 - m.b633 - m.b634 - m.b635 - m.b636 - m.b637 - m.b638 - m.b639 - m.b640
- m.b641 - m.b642 - m.b643 - m.b644 - m.b645 - m.b646 - m.b647 - m.b648 - m.b649 - m.b650
- m.b651 - m.b652 - m.b653 - m.b654 - m.b655 - m.b656 - m.b657 - m.b658 - m.b659 - m.b660
- m.b661 - m.b662 - m.b663 - m.b664 - m.b665 - m.b666 - m.b667 - m.b668 - m.b669 - m.b670
- m.b671 - m.b672 - m.b673 - m.b674 - m.b675 - m.b676 - m.b677 - m.b678 - m.b679 - m.b680
- m.b681 - m.b682 - m.b683 - m.b684 - m.b685 - m.b686 - m.b687 - m.b688 - m.b689 - m.b690
- m.b691 - m.b692 - m.b693 - m.b694 - m.b695 - m.b696 - m.b697 - m.b698 - m.b699 - m.b700
- m.b701 - m.b702 - m.b703 - m.b704 - m.b705 - m.b706 - m.b707 - m.b708 - m.b709 - m.b710
- m.b711 - m.b712 - m.b713 - m.b714 - m.b715 - m.b716 - m.b717 - m.b718 - m.b719 - m.b720
- m.b721 - m.b722 - m.b723 - m.b724 - m.b725 - m.b726 - m.b727 - m.b728 - m.b729 - m.b730
- m.b731 - m.b732 - m.b733 - m.b734 - m.b735 - m.b736 - m.b737 - m.b738 - m.b739 - m.b740
- m.b741 - m.b742 - m.b743 - m.b744 - m.b745 - m.b746 - m.b747 - m.b748 - m.b749 - m.b750
- m.b751 - m.b752 - m.b753 - m.b754 - m.b755 - m.b756 - m.b757 - m.b758 - m.b759 - m.b760
- m.b761 - m.b762 - m.b763 - m.b764 - m.b765 - m.b766 - m.b767 - m.b768 - m.b769 - m.b770
- m.b771 - m.b772 - m.b773 - m.b774 - m.b775 - m.b776 - m.b777 - m.b778 - m.b779 - m.b780
- m.b781 - m.b782 - m.b783 - m.b784 - m.b785 - m.b786 - m.b787 - m.b788 - m.b789 - m.b790
- m.b791 - m.b792 - m.b793 - m.b794 - m.b795 - m.b796 - m.b797 - m.b798 - m.b799 - m.b800
- m.b801 - m.b802 - m.b803 - m.b804 - m.b805 - m.b806 - m.b807 - m.b808 - m.b809 - m.b810
- m.b811 - m.b812 - m.b813 - m.b814 - m.b815 - m.b816 - m.b817 - m.b818 - m.b819 - m.b820
- m.b821 - m.b822 - m.b823 - m.b824 - m.b825 - m.b826 - m.b827 - m.b828 - m.b829 - m.b830
- m.b831 - m.b832 - m.b833 - m.b834 - m.b835 - m.b836 - m.b837 - m.b838 - m.b839 - m.b840
- m.b841 - m.b842 - m.b843 - m.b844 - m.b845 - m.b846 - m.b847 - m.b848 - m.b849 - m.b850
- m.b851 - m.b852 - m.b853 - m.b854 - m.b855 - m.b856 - m.b857 - m.b858 - m.b859 - m.b860
- m.b861 - m.b862 - m.b863 - m.b864 - m.b865 - m.b866 - m.b867 - m.b868 - m.b869 - m.b870
- m.b871 - m.b872 - m.b873 - m.b874 - m.b875 - m.b876 - m.b877 - m.b878 - m.b879 - m.b880
- m.b881 - m.b882 - m.b883 - m.b884 - m.b885 - m.b886 - m.b887 - m.b888 - m.b889 - m.b890
- m.b891 - m.b892 - m.b893 - m.b894 - m.b895 - m.b896 - m.b897 - m.b898 - m.b899 - m.b900
+ m.x3003 == 0)
m.c9 = Constraint(expr= - m.b901 - m.b902 - m.b903 - m.b904 - m.b905 - m.b906 - m.b907 - m.b908 - m.b909 - m.b910
- m.b911 - m.b912 - m.b913 - m.b914 - m.b915 - m.b916 - m.b917 - m.b918 - m.b919 - m.b920
- m.b921 - m.b922 - m.b923 - m.b924 - m.b925 - m.b926 - m.b927 - m.b928 - m.b929 - m.b930
- m.b931 - m.b932 - m.b933 - m.b934 - m.b935 - m.b936 - m.b937 - m.b938 - m.b939 - m.b940
- m.b941 - m.b942 - m.b943 - m.b944 - m.b945 - m.b946 - m.b947 - m.b948 - m.b949 - m.b950
- m.b951 - m.b952 - m.b953 - m.b954 - m.b955 - m.b956 - m.b957 - m.b958 - m.b959 - m.b960
- m.b961 - m.b962 - m.b963 - m.b964 - m.b965 - m.b966 - m.b967 - m.b968 - m.b969 - m.b970
- m.b971 - m.b972 - m.b973 - m.b974 - m.b975 - m.b976 - m.b977 - m.b978 - m.b979 - m.b980
- m.b981 - m.b982 - m.b983 - m.b984 - m.b985 - m.b986 - m.b987 - m.b988 - m.b989 - m.b990
- m.b991 - m.b992 - m.b993 - m.b994 - m.b995 - m.b996 - m.b997 - m.b998 - m.b999 - m.b1000
- m.b1001 - m.b1002 - m.b1003 - m.b1004 - m.b1005 - m.b1006 - m.b1007 - m.b1008 - m.b1009
- m.b1010 - m.b1011 - m.b1012 - m.b1013 - m.b1014 - m.b1015 - m.b1016 - m.b1017 - m.b1018
- m.b1019 - m.b1020 - m.b1021 - m.b1022 - m.b1023 - m.b1024 - m.b1025 - m.b1026 - m.b1027
- m.b1028 - m.b1029 - m.b1030 - m.b1031 - m.b1032 - m.b1033 - m.b1034 - m.b1035 - m.b1036
- m.b1037 - m.b1038 - m.b1039 - m.b1040 - m.b1041 - m.b1042 - m.b1043 - m.b1044 - m.b1045
- m.b1046 - m.b1047 - m.b1048 - m.b1049 - m.b1050 - m.b1051 - m.b1052 - m.b1053 - m.b1054
- m.b1055 - m.b1056 - m.b1057 - m.b1058 - m.b1059 - m.b1060 - m.b1061 - m.b1062 - m.b1063
- m.b1064 - m.b1065 - m.b1066 - m.b1067 - m.b1068 - m.b1069 - m.b1070 - m.b1071 - m.b1072
- m.b1073 - m.b1074 - m.b1075 - m.b1076 - m.b1077 - m.b1078 - m.b1079 - m.b1080 - m.b1081
- m.b1082 - m.b1083 - m.b1084 - m.b1085 - m.b1086 - m.b1087 - m.b1088 - m.b1089 - m.b1090
- m.b1091 - m.b1092 - m.b1093 - m.b1094 - m.b1095 - m.b1096 - m.b1097 - m.b1098 - m.b1099
- m.b1100 - m.b1101 - m.b1102 - m.b1103 - m.b1104 - m.b1105 - m.b1106 - m.b1107 - m.b1108
- m.b1109 - m.b1110 - m.b1111 - m.b1112 - m.b1113 - m.b1114 - m.b1115 - m.b1116 - m.b1117
- m.b1118 - m.b1119 - m.b1120 - m.b1121 - m.b1122 - m.b1123 - m.b1124 - m.b1125 - m.b1126
- m.b1127 - m.b1128 - m.b1129 - m.b1130 - m.b1131 - m.b1132 - m.b1133 - m.b1134 - m.b1135
- m.b1136 - m.b1137 - m.b1138 - m.b1139 - m.b1140 - m.b1141 - m.b1142 - m.b1143 - m.b1144
- m.b1145 - m.b1146 - m.b1147 - m.b1148 - m.b1149 - m.b1150 - m.b1151 - m.b1152 - m.b1153
- m.b1154 - m.b1155 - m.b1156 - m.b1157 - m.b1158 - m.b1159 - m.b1160 - m.b1161 - m.b1162
- m.b1163 - m.b1164 - m.b1165 - m.b1166 - m.b1167 - m.b1168 - m.b1169 - m.b1170 - m.b1171
- m.b1172 - m.b1173 - m.b1174 - m.b1175 - m.b1176 - m.b1177 - m.b1178 - m.b1179 - m.b1180
- m.b1181 - m.b1182 - m.b1183 - m.b1184 - m.b1185 - m.b1186 - m.b1187 - m.b1188 - m.b1189
- m.b1190 - m.b1191 - m.b1192 - m.b1193 - m.b1194 - m.b1195 - m.b1196 - m.b1197 - m.b1198
- m.b1199 - m.b1200 + m.x3004 == 0)
m.c10 = Constraint(expr= - m.b1201 - m.b1202 - m.b1203 - m.b1204 - m.b1205 - m.b1206 - m.b1207 - m.b1208 - m.b1209
- m.b1210 - m.b1211 - m.b1212 - m.b1213 - m.b1214 - m.b1215 - m.b1216 - m.b1217 - m.b1218
- m.b1219 - m.b1220 - m.b1221 - m.b1222 - m.b1223 - m.b1224 - m.b1225 - m.b1226 - m.b1227
- m.b1228 - m.b1229 - m.b1230 - m.b1231 - m.b1232 - m.b1233 - m.b1234 - m.b1235 - m.b1236
- m.b1237 - m.b1238 - m.b1239 - m.b1240 - m.b1241 - m.b1242 - m.b1243 - m.b1244 - m.b1245
- m.b1246 - m.b1247 - m.b1248 - m.b1249 - m.b1250 - m.b1251 - m.b1252 - m.b1253 - m.b1254
- m.b1255 - m.b1256 - m.b1257 - m.b1258 - m.b1259 - m.b1260 - m.b1261 - m.b1262 - m.b1263
- m.b1264 - m.b1265 - m.b1266 - m.b1267 - m.b1268 - m.b1269 - m.b1270 - m.b1271 - m.b1272
- m.b1273 - m.b1274 - m.b1275 - m.b1276 - m.b1277 - m.b1278 - m.b1279 - m.b1280 - m.b1281
- m.b1282 - m.b1283 - m.b1284 - m.b1285 - m.b1286 - m.b1287 - m.b1288 - m.b1289 - m.b1290
- m.b1291 - m.b1292 - m.b1293 - m.b1294 - m.b1295 - m.b1296 - m.b1297 - m.b1298 - m.b1299
- m.b1300 - m.b1301 - m.b1302 - m.b1303 - m.b1304 - m.b1305 - m.b1306 - m.b1307 - m.b1308
- m.b1309 - m.b1310 - m.b1311 - m.b1312 - m.b1313 - m.b1314 - m.b1315 - m.b1316 - m.b1317
- m.b1318 - m.b1319 - m.b1320 - m.b1321 - m.b1322 - m.b1323 - m.b1324 - m.b1325 - m.b1326
- m.b1327 - m.b1328 - m.b1329 - m.b1330 - m.b1331 - m.b1332 - m.b1333 - m.b1334 - m.b1335
- m.b1336 - m.b1337 - m.b1338 - m.b1339 - m.b1340 - m.b1341 - m.b1342 - m.b1343 - m.b1344
- m.b1345 - m.b1346 - m.b1347 - m.b1348 - m.b1349 - m.b1350 - m.b1351 - m.b1352 - m.b1353
- m.b1354 - m.b1355 - m.b1356 - m.b1357 - m.b1358 - m.b1359 - m.b1360 - m.b1361 - m.b1362
- m.b1363 - m.b1364 - m.b1365 - m.b1366 - m.b1367 - m.b1368 - m.b1369 - m.b1370 - m.b1371
- m.b1372 - m.b1373 - m.b1374 - m.b1375 - m.b1376 - m.b1377 - m.b1378 - m.b1379 - m.b1380
- m.b1381 - m.b1382 - m.b1383 - m.b1384 - m.b1385 - m.b1386 - m.b1387 - m.b1388 - m.b1389
- m.b1390 - m.b1391 - m.b1392 - m.b1393 - m.b1394 - m.b1395 - m.b1396 - m.b1397 - m.b1398
- m.b1399 - m.b1400 - m.b1401 - m.b1402 - m.b1403 - m.b1404 - m.b1405 - m.b1406 - m.b1407
- m.b1408 - m.b1409 - m.b1410 - m.b1411 - m.b1412 - m.b1413 - m.b1414 - m.b1415 - m.b1416
- m.b1417 - m.b1418 - m.b1419 - m.b1420 - m.b1421 - m.b1422 - m.b1423 - m.b1424 - m.b1425
- m.b1426 - m.b1427 - m.b1428 - m.b1429 - m.b1430 - m.b1431 - m.b1432 - m.b1433 - m.b1434
- m.b1435 - m.b1436 - m.b1437 - m.b1438 - m.b1439 - m.b1440 - m.b1441 - m.b1442 - m.b1443
- m.b1444 - m.b1445 - m.b1446 - m.b1447 - m.b1448 - m.b1449 - m.b1450 - m.b1451 - m.b1452
- m.b1453 - m.b1454 - m.b1455 - m.b1456 - m.b1457 - m.b1458 - m.b1459 - m.b1460 - m.b1461
- m.b1462 - m.b1463 - m.b1464 - m.b1465 - m.b1466 - m.b1467 - m.b1468 - m.b1469 - m.b1470
- m.b1471 - m.b1472 - m.b1473 - m.b1474 - m.b1475 - m.b1476 - m.b1477 - m.b1478 - m.b1479
- m.b1480 - m.b1481 - m.b1482 - m.b1483 - m.b1484 - m.b1485 - m.b1486 - m.b1487 - m.b1488
- m.b1489 - m.b1490 - m.b1491 - m.b1492 - m.b1493 - m.b1494 - m.b1495 - m.b1496 - m.b1497
- m.b1498 - m.b1499 - m.b1500 + m.x3005 == 0)
m.c11 = Constraint(expr=0.434294481903252*log(1 + 0.2037413337246*m.x1501) + 0.434294481903252*log(1 + 0.1257469248508*
m.x1502) + 0.434294481903252*log(1 + 0.4623626597851*m.x1503) + 0.434294481903252*log(1 +
0.4549110814166*m.x1504) + 0.434294481903252*log(1 + 0.04924698036753*m.x1505) +
0.434294481903252*log(1 + 0.204086235422*m.x1506) + 0.434294481903252*log(1 + 0.03673460637345*
m.x1507) + 0.434294481903252*log(1 + 0.04146602805481*m.x1508) + 0.434294481903252*log(1 +
0.485071617522*m.x1509) + 0.434294481903252*log(1 + 2.68674481977*m.x1510) + 0.434294481903252*
log(1 + 0.01269171108588*m.x1511) + 0.434294481903252*log(1 + 0.1227277141949*m.x1512) +
0.434294481903252*log(1 + 0.6455379219972*m.x1513) + 0.434294481903252*log(1 + 0.04011628465876*
m.x1514) + 0.434294481903252*log(1 + 1.57133826246*m.x1515) + 0.434294481903252*log(1 +
0.06160654962699*m.x1516) + 0.434294481903252*log(1 + 0.05838714244778*m.x1517) +
0.434294481903252*log(1 + 0.01239848770024*m.x1518) + 0.434294481903252*log(1 + 0.2620627186797*
m.x1519) + 0.434294481903252*log(1 + 0.02447733901826*m.x1520) + 0.434294481903252*log(1 +
0.0248320536935*m.x1521) + 0.434294481903252*log(1 + 0.1912432635321*m.x1522) +
0.434294481903252*log(1 + 0.106255310741*m.x1523) + 0.434294481903252*log(1 + 0.1946138004188*
m.x1524) + 0.434294481903252*log(1 + 0.02632665821954*m.x1525) + 0.434294481903252*log(1 +
2.16706659606*m.x1526) + 0.434294481903252*log(1 + 0.2449603239355*m.x1527) + 0.434294481903252*
log(1 + 0.4119025398204*m.x1528) + 0.434294481903252*log(1 + 1.23285438626*m.x1529) +
0.434294481903252*log(1 + 0.1310251122425*m.x1530) + 0.434294481903252*log(1 + 0.3935242945316*
m.x1531) + 0.434294481903252*log(1 + 0.7707090569102*m.x1532) + 0.434294481903252*log(1 +
0.8629701306083*m.x1533) + 0.434294481903252*log(1 + 0.6940379678044*m.x1534) +
0.434294481903252*log(1 + 1.99048579904*m.x1535) + 0.434294481903252*log(1 + 10.01045803984*
m.x1536) + 0.434294481903252*log(1 + 1.11761951758*m.x1537) + 0.434294481903252*log(1 +
0.3742417486348*m.x1538) + 0.434294481903252*log(1 + 0.2508085308333*m.x1539) +
0.434294481903252*log(1 + 0.05603479374669*m.x1540) + 0.434294481903252*log(1 + 20.98926729423*
m.x1541) + 0.434294481903252*log(1 + 0.1351671732673*m.x1542) + 0.434294481903252*log(1 +
0.3482526677166*m.x1543) + 0.434294481903252*log(1 + 8.15342751481*m.x1544) + 0.434294481903252*
log(1 + 0.2726526964386*m.x1545) + 0.434294481903252*log(1 + 1.05625418646*m.x1546) +
0.434294481903252*log(1 + 1.57971751318*m.x1547) + 0.434294481903252*log(1 + 1.99229643487*
m.x1548) + 0.434294481903252*log(1 + 0.04982142276489*m.x1549) + 0.434294481903252*log(1 +
0.0313037319595*m.x1550) + 0.434294481903252*log(1 + 7.32049522137*m.x1551) + 0.434294481903252*
log(1 + 0.3883522861464*m.x1552) + 0.434294481903252*log(1 + 0.03533032086452*m.x1553) +
0.434294481903252*log(1 + 0.08976854422205*m.x1554) + 0.434294481903252*log(1 + 0.3907533203615*
m.x1555) + 0.434294481903252*log(1 + 1.84331709233*m.x1556) + 0.434294481903252*log(1 +
1.42106205967*m.x1557) + 0.434294481903252*log(1 + 0.9440851352684*m.x1558) + 0.434294481903252*
log(1 + 0.3174667069191*m.x1559) + 0.434294481903252*log(1 + 6.38848562017*m.x1560) +
0.434294481903252*log(1 + 0.158751159551*m.x1561) + 0.434294481903252*log(1 + 0.658300594788*
m.x1562) + 0.434294481903252*log(1 + 0.3020283264399*m.x1563) + 0.434294481903252*log(1 +
2.5257328825*m.x1564) + 0.434294481903252*log(1 + 0.07106644521494*m.x1565) + 0.434294481903252*
log(1 + 0.1653531344408*m.x1566) + 0.434294481903252*log(1 + 0.3323323549356*m.x1567) +
0.434294481903252*log(1 + 0.6555472184209*m.x1568) + 0.434294481903252*log(1 + 0.2447858675881*
m.x1569) + 0.434294481903252*log(1 + 4.32873925513*m.x1570) + 0.434294481903252*log(1 +
0.6047282398274*m.x1571) + 0.434294481903252*log(1 + 0.2272892137234*m.x1572) +
0.434294481903252*log(1 + 0.1379193618549*m.x1573) + 0.434294481903252*log(1 + 0.2036127848074*
m.x1574) + 0.434294481903252*log(1 + 0.2651398096621*m.x1575) + 0.434294481903252*log(1 +
0.2231433613011*m.x1576) + 0.434294481903252*log(1 + 0.033270962447*m.x1577) + 0.434294481903252
*log(1 + 0.5714248516356*m.x1578) + 0.434294481903252*log(1 + 0.6653693775621*m.x1579) +
0.434294481903252*log(1 + 1.45508398139*m.x1580) + 0.434294481903252*log(1 + 0.3352796169836*
m.x1581) + 0.434294481903252*log(1 + 0.2368283504703*m.x1582) + 0.434294481903252*log(1 +
0.04140862484188*m.x1583) + 0.434294481903252*log(1 + 0.2464907537478*m.x1584) +
0.434294481903252*log(1 + 0.164371389298*m.x1585) + 0.434294481903252*log(1 + 0.002887117773516*
m.x1586) + 0.434294481903252*log(1 + 0.5995648614832*m.x1587) + 0.434294481903252*log(1 +
0.08491218779836*m.x1588) + 0.434294481903252*log(1 + 0.06918344781723*m.x1589) +
0.434294481903252*log(1 + 0.06179438383393*m.x1590) + 0.434294481903252*log(1 + 1.62717155198*
m.x1591) + 0.434294481903252*log(1 + 0.09291293355213*m.x1592) + 0.434294481903252*log(1 +
1.243649006*m.x1593) + 0.434294481903252*log(1 + 2.90236225645*m.x1594) + 0.434294481903252*log(
1 + 0.5530275238622*m.x1595) + 0.434294481903252*log(1 + 2.36583580166*m.x1596) +
0.434294481903252*log(1 + 3.06000490745*m.x1597) + 0.434294481903252*log(1 + 0.2069872499759*
m.x1598) + 0.434294481903252*log(1 + 0.2289848998741*m.x1599) + 0.434294481903252*log(1 +
0.594309264822*m.x1600) + 0.434294481903252*log(1 + 0.4815312478561*m.x1601) + 0.434294481903252
*log(1 + 0.1722950643627*m.x1602) + 0.434294481903252*log(1 + 0.03865895939442*m.x1603) +
0.434294481903252*log(1 + 0.3833979248084*m.x1604) + 0.434294481903252*log(1 + 0.2824265198217*
m.x1605) + 0.434294481903252*log(1 + 0.03161386044866*m.x1606) + 0.434294481903252*log(1 +
0.7150389212448*m.x1607) + 0.434294481903252*log(1 + 0.1712191908541*m.x1608) +
0.434294481903252*log(1 + 0.1983922958869*m.x1609) + 0.434294481903252*log(1 + 0.7685216355042*
m.x1610) + 0.434294481903252*log(1 + 0.4038247614554*m.x1611) + 0.434294481903252*log(1 +
0.3315414393722*m.x1612) + 0.434294481903252*log(1 + 5.28404349381*m.x1613) + 0.434294481903252*
log(1 + 10.62424950709*m.x1614) + 0.434294481903252*log(1 + 0.2380090944582*m.x1615) +
0.434294481903252*log(1 + 1.83130416885*m.x1616) + 0.434294481903252*log(1 + 0.07813162360908*
m.x1617) + 0.434294481903252*log(1 + 0.203393040532*m.x1618) + 0.434294481903252*log(1 +
0.974803673221*m.x1619) + 0.434294481903252*log(1 + 0.03723900447283*m.x1620) +
0.434294481903252*log(1 + 0.0833667695657*m.x1621) + 0.434294481903252*log(1 + 3.01973267563*
m.x1622) + 0.434294481903252*log(1 + 0.01759680861268*m.x1623) + 0.434294481903252*log(1 +
0.1231887696286*m.x1624) + 0.434294481903252*log(1 + 0.3611375563303*m.x1625) +
0.434294481903252*log(1 + 24.78132571268*m.x1626) + 0.434294481903252*log(1 + 0.2047988701218*
m.x1627) + 0.434294481903252*log(1 + 1.36607235507*m.x1628) + 0.434294481903252*log(1 +
2.08551241597*m.x1629) + 0.434294481903252*log(1 + 3.01098340383*m.x1630) + 0.434294481903252*
log(1 + 0.01923184515092*m.x1631) + 0.434294481903252*log(1 + 0.1973656371872*m.x1632) +
0.434294481903252*log(1 + 0.05040593430685*m.x1633) + 0.434294481903252*log(1 + 0.02394700188139
*m.x1634) + 0.434294481903252*log(1 + 0.2635573099085*m.x1635) + 0.434294481903252*log(1 +
0.2948566561199*m.x1636) + 0.434294481903252*log(1 + 0.7418353975549*m.x1637) +
0.434294481903252*log(1 + 1.83196206997*m.x1638) + 0.434294481903252*log(1 + 21.01490048772*
m.x1639) + 0.434294481903252*log(1 + 0.03360628228164*m.x1640) + 0.434294481903252*log(1 +
0.006931562968556*m.x1641) + 0.434294481903252*log(1 + 0.02505154343578*m.x1642) +
0.434294481903252*log(1 + 0.2616023199855*m.x1643) + 0.434294481903252*log(1 + 0.2039375903178*
m.x1644) + 0.434294481903252*log(1 + 0.4277065569136*m.x1645) + 0.434294481903252*log(1 +
9.01486259093*m.x1646) + 0.434294481903252*log(1 + 0.03221698501364*m.x1647) + 0.434294481903252
*log(1 + 3.10515391617*m.x1648) + 0.434294481903252*log(1 + 0.7094970443189*m.x1649) +
0.434294481903252*log(1 + 0.4295452581122*m.x1650) + 0.434294481903252*log(1 + 0.08951966795475*
m.x1651) + 0.434294481903252*log(1 + 0.01207256053249*m.x1652) + 0.434294481903252*log(1 +
0.03498581369992*m.x1653) + 0.434294481903252*log(1 + 1.02377552508*m.x1654) + 0.434294481903252
*log(1 + 0.02803472284223*m.x1655) + 0.434294481903252*log(1 + 0.6635023973997*m.x1656) +
0.434294481903252*log(1 + 0.4468390559156*m.x1657) + 0.434294481903252*log(1 + 0.2723424260544*
m.x1658) + 0.434294481903252*log(1 + 0.6153172209144*m.x1659) + 0.434294481903252*log(1 +
0.03791118371641*m.x1660) + 0.434294481903252*log(1 + 4.17671516688*m.x1661) + 0.434294481903252
*log(1 + 1.1969055727*m.x1662) + 0.434294481903252*log(1 + 2.25002465029*m.x1663) +
0.434294481903252*log(1 + 1.35319896103*m.x1664) + 0.434294481903252*log(1 + 0.0968642483807*
m.x1665) + 0.434294481903252*log(1 + 0.3759700453758*m.x1666) + 0.434294481903252*log(1 +
0.1927811417914*m.x1667) + 0.434294481903252*log(1 + 0.002526949323091*m.x1668) +
0.434294481903252*log(1 + 10.26470468459*m.x1669) + 0.434294481903252*log(1 + 0.05159900447412*
m.x1670) + 0.434294481903252*log(1 + 1.90108026837*m.x1671) + 0.434294481903252*log(1 +
0.2816282936432*m.x1672) + 0.434294481903252*log(1 + 0.7156847159864*m.x1673) +
0.434294481903252*log(1 + 0.2036711428106*m.x1674) + 0.434294481903252*log(1 + 0.1808730122786*
m.x1675) + 0.434294481903252*log(1 + 0.4125387620602*m.x1676) + 0.434294481903252*log(1 +
0.4143256085294*m.x1677) + 0.434294481903252*log(1 + 0.5912047517891*m.x1678) +
0.434294481903252*log(1 + 2.19392353666*m.x1679) + 0.434294481903252*log(1 + 0.3428816948977*
m.x1680) + 0.434294481903252*log(1 + 0.3460765107703*m.x1681) + 0.434294481903252*log(1 +
1.79113934104*m.x1682) + 0.434294481903252*log(1 + 0.008928864647587*m.x1683) +
0.434294481903252*log(1 + 0.1882285887845*m.x1684) + 0.434294481903252*log(1 + 0.0848682575339*
m.x1685) + 0.434294481903252*log(1 + 22.37143239582*m.x1686) + 0.434294481903252*log(1 +
0.04568196052334*m.x1687) + 0.434294481903252*log(1 + 0.5122540192065*m.x1688) +
0.434294481903252*log(1 + 0.8940002638008*m.x1689) + 0.434294481903252*log(1 + 0.1680027719786*
m.x1690) + 0.434294481903252*log(1 + 0.4854605868633*m.x1691) + 0.434294481903252*log(1 +
0.2047774362917*m.x1692) + 0.434294481903252*log(1 + 1.95596779131*m.x1693) + 0.434294481903252*
log(1 + 1.20189410701*m.x1694) + 0.434294481903252*log(1 + 0.03853745659398*m.x1695) +
0.434294481903252*log(1 + 0.02060937049148*m.x1696) + 0.434294481903252*log(1 + 0.399430446376*
m.x1697) + 0.434294481903252*log(1 + 0.08614152499375*m.x1698) + 0.434294481903252*log(1 +
0.03927774545362*m.x1699) + 0.434294481903252*log(1 + 0.2231696730451*m.x1700) +
0.434294481903252*log(1 + 0.02777449249984*m.x1701) + 0.434294481903252*log(1 + 1.09099811826*
m.x1702) + 0.434294481903252*log(1 + 1.85935266386*m.x1703) + 0.434294481903252*log(1 +
1.55480622235*m.x1704) + 0.434294481903252*log(1 + 0.4602335367875*m.x1705) + 0.434294481903252*
log(1 + 0.1571748288717*m.x1706) + 0.434294481903252*log(1 + 0.01113933703378*m.x1707) +
0.434294481903252*log(1 + 0.2813703277049*m.x1708) + 0.434294481903252*log(1 + 0.1072090554607*
m.x1709) + 0.434294481903252*log(1 + 0.2396401312765*m.x1710) + 0.434294481903252*log(1 +
0.1816016957863*m.x1711) + 0.434294481903252*log(1 + 0.1333653816304*m.x1712) +
0.434294481903252*log(1 + 0.0005262675965121*m.x1713) + 0.434294481903252*log(1 +
0.3133892026819*m.x1714) + 0.434294481903252*log(1 + 2.51930548043*m.x1715) + 0.434294481903252*
log(1 + 2.30743534686*m.x1716) + 0.434294481903252*log(1 + 0.5100603731968*m.x1717) +
0.434294481903252*log(1 + 0.1457229982356*m.x1718) + 0.434294481903252*log(1 + 0.01283354785038*
m.x1719) + 0.434294481903252*log(1 + 0.02609897678676*m.x1720) + 0.434294481903252*log(1 +
0.1240183575068*m.x1721) + 0.434294481903252*log(1 + 0.1899256238138*m.x1722) +
0.434294481903252*log(1 + 0.02009180640763*m.x1723) + 0.434294481903252*log(1 + 0.2213538322063*
m.x1724) + 0.434294481903252*log(1 + 1.22557547825*m.x1725) + 0.434294481903252*log(1 +
0.01694967587675*m.x1726) + 0.434294481903252*log(1 + 0.1762090550555*m.x1727) +
0.434294481903252*log(1 + 0.2749851924196*m.x1728) + 0.434294481903252*log(1 + 0.3423890835162*
m.x1729) + 0.434294481903252*log(1 + 1.00908227383*m.x1730) + 0.434294481903252*log(1 +
0.001265478685782*m.x1731) + 0.434294481903252*log(1 + 21.11707430849*m.x1732) +
0.434294481903252*log(1 + 0.3114365054414*m.x1733) + 0.434294481903252*log(1 + 1.07249520075*
m.x1734) + 0.434294481903252*log(1 + 1.31367727937*m.x1735) + 0.434294481903252*log(1 +
2.37313609583*m.x1736) + 0.434294481903252*log(1 + 0.4057986767989*m.x1737) + 0.434294481903252*
log(1 + 0.0302764392659*m.x1738) + 0.434294481903252*log(1 + 0.00515945424978*m.x1739) +
0.434294481903252*log(1 + 0.5054777828367*m.x1740) + 0.434294481903252*log(1 + 1.85875683832*
m.x1741) + 0.434294481903252*log(1 + 1.13142094422*m.x1742) + 0.434294481903252*log(1 +
0.5232062511262*m.x1743) + 0.434294481903252*log(1 + 0.02513175268145*m.x1744) +
0.434294481903252*log(1 + 0.5128726308085*m.x1745) + 0.434294481903252*log(1 + 0.02339100744049*
m.x1746) + 0.434294481903252*log(1 + 0.7432702435392*m.x1747) + 0.434294481903252*log(1 +
6.93393886824*m.x1748) + 0.434294481903252*log(1 + 0.475152540588*m.x1749) + 0.434294481903252*
log(1 + 0.1026170945666*m.x1750) + 0.434294481903252*log(1 + 0.01889784709888*m.x1751) +
0.434294481903252*log(1 + 0.1343442831398*m.x1752) + 0.434294481903252*log(1 + 0.05147252797343*
m.x1753) + 0.434294481903252*log(1 + 0.1450357619281*m.x1754) + 0.434294481903252*log(1 +
0.3302164618655*m.x1755) + 0.434294481903252*log(1 + 0.04578689737969*m.x1756) +
0.434294481903252*log(1 + 0.1780678472083*m.x1757) + 0.434294481903252*log(1 + 0.6018248026199*
m.x1758) + 0.434294481903252*log(1 + 0.3841344642153*m.x1759) + 0.434294481903252*log(1 +
0.3862922990962*m.x1760) + 0.434294481903252*log(1 + 3.60621812645*m.x1761) + 0.434294481903252*
log(1 + 0.8719334901704*m.x1762) + 0.434294481903252*log(1 + 0.1462108325968*m.x1763) +
0.434294481903252*log(1 + 0.01613129747233*m.x1764) + 0.434294481903252*log(1 + 0.3432772073877*
m.x1765) + 0.434294481903252*log(1 + 0.2736098079504*m.x1766) + 0.434294481903252*log(1 +
0.4097500817294*m.x1767) + 0.434294481903252*log(1 + 0.02752223100406*m.x1768) +
0.434294481903252*log(1 + 0.3069338726511*m.x1769) + 0.434294481903252*log(1 + 0.2265658535811*
m.x1770) + 0.434294481903252*log(1 + 0.1680521412065*m.x1771) + 0.434294481903252*log(1 +
0.7753184776394*m.x1772) + 0.434294481903252*log(1 + 4.37133527375*m.x1773) + 0.434294481903252*
log(1 + 0.2085780549411*m.x1774) + 0.434294481903252*log(1 + 0.9223019052755*m.x1775) +
0.434294481903252*log(1 + 0.537345070195*m.x1776) + 0.434294481903252*log(1 + 0.5929356894667*
m.x1777) + 0.434294481903252*log(1 + 2.53864539887*m.x1778) + 0.434294481903252*log(1 +
0.4046113170443*m.x1779) + 0.434294481903252*log(1 + 0.9229619477566*m.x1780) +
0.434294481903252*log(1 + 0.0064847499063*m.x1781) + 0.434294481903252*log(1 + 0.01409967205897*
m.x1782) + 0.434294481903252*log(1 + 0.01689917329496*m.x1783) + 0.434294481903252*log(1 +
0.08294012760337*m.x1784) + 0.434294481903252*log(1 + 0.01694716714495*m.x1785) +
0.434294481903252*log(1 + 0.1288949008213*m.x1786) + 0.434294481903252*log(1 + 0.1534702227413*
m.x1787) + 0.434294481903252*log(1 + 0.1445396194376*m.x1788) + 0.434294481903252*log(1 +
0.07910357470099*m.x1789) + 0.434294481903252*log(1 + 0.03055585469905*m.x1790) +
0.434294481903252*log(1 + 0.3443071143866*m.x1791) + 0.434294481903252*log(1 + 0.8572894057074*
m.x1792) + 0.434294481903252*log(1 + 0.6276074011469*m.x1793) + 0.434294481903252*log(1 +
2.40119296254*m.x1794) + 0.434294481903252*log(1 + 5.71922362588*m.x1795) + 0.434294481903252*
log(1 + 0.1262922835914*m.x1796) + 0.434294481903252*log(1 + 0.1580676619969*m.x1797) +
0.434294481903252*log(1 + 0.06386530361642*m.x1798) + 0.434294481903252*log(1 + 0.5315334107869*
m.x1799) + 0.434294481903252*log(1 + 0.3770312685155*m.x1800) >= 7.5257498916)
m.c12 = Constraint(expr=0.434294481903252*log(1 + 143.8105845258*m.x1801) + 0.434294481903252*log(1 + 12.43266864259*
m.x1802) + 0.434294481903252*log(1 + 2.91256340499*m.x1803) + 0.434294481903252*log(1 +
100.61300198827*m.x1804) + 0.434294481903252*log(1 + 16.12348747911*m.x1805) + 0.434294481903252
*log(1 + 137.72632859517*m.x1806) + 0.434294481903252*log(1 + 643.29552631472*m.x1807) +
0.434294481903252*log(1 + 44.8488764015*m.x1808) + 0.434294481903252*log(1 + 436.48106547132*
m.x1809) + 0.434294481903252*log(1 + 598.93294054958*m.x1810) + 0.434294481903252*log(1 +
481.20016609903*m.x1811) + 0.434294481903252*log(1 + 4161.60566002581*m.x1812) +
0.434294481903252*log(1 + 7.71289775335*m.x1813) + 0.434294481903252*log(1 + 167.75515124888*
m.x1814) + 0.434294481903252*log(1 + 791.53548957379*m.x1815) + 0.434294481903252*log(1 +
12.57397667882*m.x1816) + 0.434294481903252*log(1 + 15.37734970029*m.x1817) + 0.434294481903252*
log(1 + 2.00640265204*m.x1818) + 0.434294481903252*log(1 + 1.47679539698*m.x1819) +
0.434294481903252*log(1 + 20.38495959486*m.x1820) + 0.434294481903252*log(1 + 7.05662834365*
m.x1821) + 0.434294481903252*log(1 + 52.29974466879*m.x1822) + 0.434294481903252*log(1 +
20.98529636584*m.x1823) + 0.434294481903252*log(1 + 13.18758939207*m.x1824) + 0.434294481903252*
log(1 + 319.20178480126*m.x1825) + 0.434294481903252*log(1 + 12.6571021265*m.x1826) +
0.434294481903252*log(1 + 10.40146458888*m.x1827) + 0.434294481903252*log(1 + 6.29607718798*
m.x1828) + 0.434294481903252*log(1 + 54.5138576331*m.x1829) + 0.434294481903252*log(1 +
2.8900858671*m.x1830) + 0.434294481903252*log(1 + 11.21832224462*m.x1831) + 0.434294481903252*
log(1 + 19.20865863875*m.x1832) + 0.434294481903252*log(1 + 119.07933333542*m.x1833) +
0.434294481903252*log(1 + 11.92917983678*m.x1834) + 0.434294481903252*log(1 + 46.45836062945*
m.x1835) + 0.434294481903252*log(1 + 21.09006863327*m.x1836) + 0.434294481903252*log(1 +
170.27886353637*m.x1837) + 0.434294481903252*log(1 + 28.42007750036*m.x1838) + 0.434294481903252
*log(1 + 4.44305641945*m.x1839) + 0.434294481903252*log(1 + 7.02553148524*m.x1840) +
0.434294481903252*log(1 + 225.72857006499*m.x1841) + 0.434294481903252*log(1 + 45.51003147553*
m.x1842) + 0.434294481903252*log(1 + 25.83624356662*m.x1843) + 0.434294481903252*log(1 +
258.20242816603*m.x1844) + 0.434294481903252*log(1 + 918.90091324242*m.x1845) +
0.434294481903252*log(1 + 83.38358156552*m.x1846) + 0.434294481903252*log(1 + 0.9888655237328*
m.x1847) + 0.434294481903252*log(1 + 15.25981972602*m.x1848) + 0.434294481903252*log(1 +
31.9551701973*m.x1849) + 0.434294481903252*log(1 + 8.92691754598*m.x1850) + 0.434294481903252*
log(1 + 52.9747250258*m.x1851) + 0.434294481903252*log(1 + 86.41904733434*m.x1852) +
0.434294481903252*log(1 + 385.91894205582*m.x1853) + 0.434294481903252*log(1 + 6.31113880286*
m.x1854) + 0.434294481903252*log(1 + 136.63445569753*m.x1855) + 0.434294481903252*log(1 +
67.49889942485*m.x1856) + 0.434294481903252*log(1 + 72.77791768905*m.x1857) + 0.434294481903252*
log(1 + 75.46067006448*m.x1858) + 0.434294481903252*log(1 + 31.77690874588*m.x1859) +
0.434294481903252*log(1 + 101.12609023811*m.x1860) + 0.434294481903252*log(1 + 41.81599761847*
m.x1861) + 0.434294481903252*log(1 + 101.31691744056*m.x1862) + 0.434294481903252*log(1 +
558.46638100818*m.x1863) + 0.434294481903252*log(1 + 196.8628772045*m.x1864) + 0.434294481903252
*log(1 + 153.15312441291*m.x1865) + 0.434294481903252*log(1 + 1.26097294736*m.x1866) +
0.434294481903252*log(1 + 26.37463310635*m.x1867) + 0.434294481903252*log(1 + 58.82243887679*
m.x1868) + 0.434294481903252*log(1 + 418.71867321539*m.x1869) + 0.434294481903252*log(1 +
3.60959486958*m.x1870) + 0.434294481903252*log(1 + 12.77939096132*m.x1871) + 0.434294481903252*
log(1 + 0.6556791876145*m.x1872) + 0.434294481903252*log(1 + 4.64176043893*m.x1873) +
0.434294481903252*log(1 + 69.13190776302*m.x1874) + 0.434294481903252*log(1 + 25.18252860652*
m.x1875) + 0.434294481903252*log(1 + 57.79336076002*m.x1876) + 0.434294481903252*log(1 +
34.95951742504*m.x1877) + 0.434294481903252*log(1 + 45.2422311542*m.x1878) + 0.434294481903252*
log(1 + 16.65603407406*m.x1879) + 0.434294481903252*log(1 + 115.91888398734*m.x1880) +
0.434294481903252*log(1 + 547.98802590869*m.x1881) + 0.434294481903252*log(1 + 813.3906381861*
m.x1882) + 0.434294481903252*log(1 + 20.13273791122*m.x1883) + 0.434294481903252*log(1 +
36.68827551194*m.x1884) + 0.434294481903252*log(1 + 6.12401971604*m.x1885) + 0.434294481903252*
log(1 + 34.92490015137*m.x1886) + 0.434294481903252*log(1 + 35.19551057231*m.x1887) +
0.434294481903252*log(1 + 71.20991987874*m.x1888) + 0.434294481903252*log(1 + 35.429809065*
m.x1889) + 0.434294481903252*log(1 + 6.43974801583*m.x1890) + 0.434294481903252*log(1 +
1.01776361574*m.x1891) + 0.434294481903252*log(1 + 20.20120033303*m.x1892) + 0.434294481903252*
log(1 + 93.44167884058*m.x1893) + 0.434294481903252*log(1 + 252.02291062105*m.x1894) +
0.434294481903252*log(1 + 47.67682654135*m.x1895) + 0.434294481903252*log(1 + 44.22257869895*
m.x1896) + 0.434294481903252*log(1 + 56.57064652442*m.x1897) + 0.434294481903252*log(1 +
81.39299252717*m.x1898) + 0.434294481903252*log(1 + 3.99933429844*m.x1899) + 0.434294481903252*
log(1 + 6.56540345035*m.x1900) + 0.434294481903252*log(1 + 62.14420387262*m.x1901) +
0.434294481903252*log(1 + 41.85070301805*m.x1902) + 0.434294481903252*log(1 + 75.93066373167*
m.x1903) + 0.434294481903252*log(1 + 5.53276385514*m.x1904) + 0.434294481903252*log(1 +
23.7475451711*m.x1905) + 0.434294481903252*log(1 + 10.86202583675*m.x1906) + 0.434294481903252*
log(1 + 2928.82129995417*m.x1907) + 0.434294481903252*log(1 + 23.59640965565*m.x1908) +
0.434294481903252*log(1 + 24.89485640382*m.x1909) + 0.434294481903252*log(1 + 463.76602280583*
m.x1910) + 0.434294481903252*log(1 + 2.81496529237*m.x1911) + 0.434294481903252*log(1 +
38.04630878322*m.x1912) + 0.434294481903252*log(1 + 20.09807491327*m.x1913) + 0.434294481903252*
log(1 + 5.44518842703*m.x1914) + 0.434294481903252*log(1 + 38.72880433772*m.x1915) +
0.434294481903252*log(1 + 333.1472588175*m.x1916) + 0.434294481903252*log(1 + 207.47157146373*
m.x1917) + 0.434294481903252*log(1 + 178.61158446785*m.x1918) + 0.434294481903252*log(1 +
110.24566244075*m.x1919) + 0.434294481903252*log(1 + 42.24759694129*m.x1920) + 0.434294481903252
*log(1 + 44.44805214867*m.x1921) + 0.434294481903252*log(1 + 28.88637918366*m.x1922) +
0.434294481903252*log(1 + 17.12995138753*m.x1923) + 0.434294481903252*log(1 + 99.86849057475*
m.x1924) + 0.434294481903252*log(1 + 35.38871500463*m.x1925) + 0.434294481903252*log(1 +
56.72660752215*m.x1926) + 0.434294481903252*log(1 + 786.87363162869*m.x1927) + 0.434294481903252
*log(1 + 27.32132891106*m.x1928) + 0.434294481903252*log(1 + 25.03617772251*m.x1929) +
0.434294481903252*log(1 + 12.36749420641*m.x1930) + 0.434294481903252*log(1 + 6.73675211006*
m.x1931) + 0.434294481903252*log(1 + 13.92617005815*m.x1932) + 0.434294481903252*log(1 +
87.0317139335*m.x1933) + 0.434294481903252*log(1 + 24.34530421373*m.x1934) + 0.434294481903252*
log(1 + 97.03668244668*m.x1935) + 0.434294481903252*log(1 + 152.12299086321*m.x1936) +
0.434294481903252*log(1 + 196.18983278338*m.x1937) + 0.434294481903252*log(1 + 12.81688858073*
m.x1938) + 0.434294481903252*log(1 + 11.36218197682*m.x1939) + 0.434294481903252*log(1 +
133.39171897582*m.x1940) + 0.434294481903252*log(1 + 652.48213712892*m.x1941) +
0.434294481903252*log(1 + 67.51782480118*m.x1942) + 0.434294481903252*log(1 + 22.65688657707*
m.x1943) + 0.434294481903252*log(1 + 11.31175489823*m.x1944) + 0.434294481903252*log(1 +
34.8983379521*m.x1945) + 0.434294481903252*log(1 + 117.23083784385*m.x1946) + 0.434294481903252*
log(1 + 12.98069977491*m.x1947) + 0.434294481903252*log(1 + 5.22141273634*m.x1948) +
0.434294481903252*log(1 + 18.98925167147*m.x1949) + 0.434294481903252*log(1 + 495.0855876007*
m.x1950) + 0.434294481903252*log(1 + 4.74826487867*m.x1951) + 0.434294481903252*log(1 +
0.248188773824*m.x1952) + 0.434294481903252*log(1 + 0.9127367359772*m.x1953) + 0.434294481903252
*log(1 + 9.56798563913*m.x1954) + 0.434294481903252*log(1 + 115.46968036572*m.x1955) +
0.434294481903252*log(1 + 79.77715261984*m.x1956) + 0.434294481903252*log(1 + 63.15844435455*
m.x1957) + 0.434294481903252*log(1 + 207.64393980734*m.x1958) + 0.434294481903252*log(1 +
6.86302706457*m.x1959) + 0.434294481903252*log(1 + 0.3301830905206*m.x1960) + 0.434294481903252*
log(1 + 22.05357286288*m.x1961) + 0.434294481903252*log(1 + 230.83362921184*m.x1962) +
0.434294481903252*log(1 + 54.85402932947*m.x1963) + 0.434294481903252*log(1 + 149.16050382737*
m.x1964) + 0.434294481903252*log(1 + 65.85673447784*m.x1965) + 0.434294481903252*log(1 +
157.22024833796*m.x1966) + 0.434294481903252*log(1 + 33.28591615094*m.x1967) + 0.434294481903252
*log(1 + 87.70241678627*m.x1968) + 0.434294481903252*log(1 + 121.45596885124*m.x1969) +
0.434294481903252*log(1 + 40.28856569395*m.x1970) + 0.434294481903252*log(1 + 6.91994292144*
m.x1971) + 0.434294481903252*log(1 + 1639.86226822966*m.x1972) + 0.434294481903252*log(1 +
74.6457811781*m.x1973) + 0.434294481903252*log(1 + 113.41293882321*m.x1974) + 0.434294481903252*
log(1 + 23.94041494631*m.x1975) + 0.434294481903252*log(1 + 0.04305783092098*m.x1976) +
0.434294481903252*log(1 + 21.8822855838*m.x1977) + 0.434294481903252*log(1 + 51.93964642632*
m.x1978) + 0.434294481903252*log(1 + 27.86960963563*m.x1979) + 0.434294481903252*log(1 +
63.82371787426*m.x1980) + 0.434294481903252*log(1 + 1.5139227171*m.x1981) + 0.434294481903252*
log(1 + 194.56309769331*m.x1982) + 0.434294481903252*log(1 + 43.03889824677*m.x1983) +
0.434294481903252*log(1 + 158.85929248927*m.x1984) + 0.434294481903252*log(1 + 0.376343129819*
m.x1985) + 0.434294481903252*log(1 + 144.27516940742*m.x1986) + 0.434294481903252*log(1 +
115.43805420858*m.x1987) + 0.434294481903252*log(1 + 0.282457667362*m.x1988) + 0.434294481903252
*log(1 + 47.84164149829*m.x1989) + 0.434294481903252*log(1 + 117.4847791791*m.x1990) +
0.434294481903252*log(1 + 206.20768339257*m.x1991) + 0.434294481903252*log(1 + 15.15951120202*
m.x1992) + 0.434294481903252*log(1 + 44.5521089897*m.x1993) + 0.434294481903252*log(1 +
170.40545366143*m.x1994) + 0.434294481903252*log(1 + 44.61668474869*m.x1995) + 0.434294481903252
*log(1 + 120.69266641147*m.x1996) + 0.434294481903252*log(1 + 7.60798690433*m.x1997) +
0.434294481903252*log(1 + 1.60163119179*m.x1998) + 0.434294481903252*log(1 + 28.02392906598*
m.x1999) + 0.434294481903252*log(1 + 104.9049563678*m.x2000) + 0.434294481903252*log(1 +
41.21705442394*m.x2001) + 0.434294481903252*log(1 + 20.43127914759*m.x2002) + 0.434294481903252*
log(1 + 19.20116362342*m.x2003) + 0.434294481903252*log(1 + 76.74437834992*m.x2004) +
0.434294481903252*log(1 + 334.95309536405*m.x2005) + 0.434294481903252*log(1 + 1033.70426064591*
m.x2006) + 0.434294481903252*log(1 + 38.9384955541*m.x2007) + 0.434294481903252*log(1 +
4.19332193273*m.x2008) + 0.434294481903252*log(1 + 17.4273000211*m.x2009) + 0.434294481903252*
log(1 + 687.07524127669*m.x2010) + 0.434294481903252*log(1 + 12.3523308854*m.x2011) +
0.434294481903252*log(1 + 45.82063946312*m.x2012) + 0.434294481903252*log(1 + 94.10595029827*
m.x2013) + 0.434294481903252*log(1 + 127.93892328951*m.x2014) + 0.434294481903252*log(1 +
52.31865659995*m.x2015) + 0.434294481903252*log(1 + 89.80821225356*m.x2016) + 0.434294481903252*
log(1 + 28.52528321189*m.x2017) + 0.434294481903252*log(1 + 86.40157452355*m.x2018) +
0.434294481903252*log(1 + 1615.6047389581*m.x2019) + 0.434294481903252*log(1 + 79.82019355449*
m.x2020) + 0.434294481903252*log(1 + 253.53438779006*m.x2021) + 0.434294481903252*log(1 +
25.49123570305*m.x2022) + 0.434294481903252*log(1 + 8.99154607809*m.x2023) + 0.434294481903252*
log(1 + 51.48218313185*m.x2024) + 0.434294481903252*log(1 + 2.07440974897*m.x2025) +
0.434294481903252*log(1 + 132.48577213876*m.x2026) + 0.434294481903252*log(1 + 41.23991071761*
m.x2027) + 0.434294481903252*log(1 + 273.74973838167*m.x2028) + 0.434294481903252*log(1 +
64.62988055099*m.x2029) + 0.434294481903252*log(1 + 3.83197959799*m.x2030) + 0.434294481903252*
log(1 + 55.17566334437*m.x2031) + 0.434294481903252*log(1 + 30.54848495591*m.x2032) +
0.434294481903252*log(1 + 30.27210918553*m.x2033) + 0.434294481903252*log(1 + 27.24369780078*
m.x2034) + 0.434294481903252*log(1 + 740.41063793283*m.x2035) + 0.434294481903252*log(1 +
61.568916344*m.x2036) + 0.434294481903252*log(1 + 32.05274055634*m.x2037) + 0.434294481903252*
log(1 + 604.65350890499*m.x2038) + 0.434294481903252*log(1 + 10.47444826936*m.x2039) +
0.434294481903252*log(1 + 589.4671580056*m.x2040) + 0.434294481903252*log(1 + 38.86342054858*
m.x2041) + 0.434294481903252*log(1 + 37.93978830908*m.x2042) + 0.434294481903252*log(1 +
732.63577688982*m.x2043) + 0.434294481903252*log(1 + 18.69347452754*m.x2044) + 0.434294481903252
*log(1 + 2.78265836724*m.x2045) + 0.434294481903252*log(1 + 18.69520322873*m.x2046) +
0.434294481903252*log(1 + 6.15744001509*m.x2047) + 0.434294481903252*log(1 + 177.86978622581*
m.x2048) + 0.434294481903252*log(1 + 33.93260521201*m.x2049) + 0.434294481903252*log(1 +
7.36636737259*m.x2050) + 0.434294481903252*log(1 + 7.27133534225*m.x2051) + 0.434294481903252*
log(1 + 24.69989047016*m.x2052) + 0.434294481903252*log(1 + 1.07782852532*m.x2053) +
0.434294481903252*log(1 + 12.62245687909*m.x2054) + 0.434294481903252*log(1 + 214.53099420251*
m.x2055) + 0.434294481903252*log(1 + 249.8262248757*m.x2056) + 0.434294481903252*log(1 +
16.95463766132*m.x2057) + 0.434294481903252*log(1 + 17.8951043048*m.x2058) + 0.434294481903252*
log(1 + 273.34460004821*m.x2059) + 0.434294481903252*log(1 + 96.90125546937*m.x2060) +
0.434294481903252*log(1 + 95.48714744502*m.x2061) + 0.434294481903252*log(1 + 18.2267423221*
m.x2062) + 0.434294481903252*log(1 + 117.35203413373*m.x2063) + 0.434294481903252*log(1 +
50.82309621336*m.x2064) + 0.434294481903252*log(1 + 79.13496502153*m.x2065) + 0.434294481903252*
log(1 + 29.16841167057*m.x2066) + 0.434294481903252*log(1 + 7.47278193989*m.x2067) +
0.434294481903252*log(1 + 213.6420684642*m.x2068) + 0.434294481903252*log(1 + 88.46017375373*
m.x2069) + 0.434294481903252*log(1 + 12.81849571317*m.x2070) + 0.434294481903252*log(1 +
89.09300297734*m.x2071) + 0.434294481903252*log(1 + 292.47939329584*m.x2072) + 0.434294481903252
*log(1 + 8.50891284463*m.x2073) + 0.434294481903252*log(1 + 12.63666359321*m.x2074) +
0.434294481903252*log(1 + 9.76509226016*m.x2075) + 0.434294481903252*log(1 + 13.68643982402*
m.x2076) + 0.434294481903252*log(1 + 9.65578485763*m.x2077) + 0.434294481903252*log(1 +
32.31963262577*m.x2078) + 0.434294481903252*log(1 + 47.18214621665*m.x2079) + 0.434294481903252*
log(1 + 0.7602241917633*m.x2080) + 0.434294481903252*log(1 + 3.81547705464*m.x2081) +
0.434294481903252*log(1 + 303.10231072642*m.x2082) + 0.434294481903252*log(1 + 22.83724582682*
m.x2083) + 0.434294481903252*log(1 + 715.00596925464*m.x2084) + 0.434294481903252*log(1 +
27.78818986274*m.x2085) + 0.434294481903252*log(1 + 28.8968219445*m.x2086) + 0.434294481903252*
log(1 + 457.39222399342*m.x2087) + 0.434294481903252*log(1 + 61.94265508411*m.x2088) +
0.434294481903252*log(1 + 1.83299078202*m.x2089) + 0.434294481903252*log(1 + 361.88451706688*
m.x2090) + 0.434294481903252*log(1 + 9.02752960879*m.x2091) + 0.434294481903252*log(1 +
410.74057111446*m.x2092) + 0.434294481903252*log(1 + 34.24138511358*m.x2093) + 0.434294481903252
*log(1 + 41.8831772406*m.x2094) + 0.434294481903252*log(1 + 5.5271348238*m.x2095) +
0.434294481903252*log(1 + 35.81419632897*m.x2096) + 0.434294481903252*log(1 + 9.49115562312*
m.x2097) + 0.434294481903252*log(1 + 3.82983046482*m.x2098) + 0.434294481903252*log(1 +
90.95124373301*m.x2099) + 0.434294481903252*log(1 + 1371.38618614039*m.x2100) >= 7.5257498916)
m.c13 = Constraint(expr=0.434294481903252*log(1 + 10.55232732891*m.x2101) + 0.434294481903252*log(1 + 208.54074327563*
m.x2102) + 0.434294481903252*log(1 + 8.63142870526*m.x2103) + 0.434294481903252*log(1 +
78.8428950254*m.x2104) + 0.434294481903252*log(1 + 5.45455826627*m.x2105) + 0.434294481903252*
log(1 + 29.95075148096*m.x2106) + 0.434294481903252*log(1 + 70.99936507579*m.x2107) +
0.434294481903252*log(1 + 20.18129056748*m.x2108) + 0.434294481903252*log(1 + 0.2496789981069*
m.x2109) + 0.434294481903252*log(1 + 37.0059637459*m.x2110) + 0.434294481903252*log(1 +
13.04579322851*m.x2111) + 0.434294481903252*log(1 + 7.26981090682*m.x2112) + 0.434294481903252*
log(1 + 1.34693095844*m.x2113) + 0.434294481903252*log(1 + 35.55573327138*m.x2114) +
0.434294481903252*log(1 + 6.05438734713*m.x2115) + 0.434294481903252*log(1 + 28.7108482025*
m.x2116) + 0.434294481903252*log(1 + 13.46736729676*m.x2117) + 0.434294481903252*log(1 +
3.69468268135*m.x2118) + 0.434294481903252*log(1 + 23.28918445884*m.x2119) + 0.434294481903252*
log(1 + 26.61902507853*m.x2120) + 0.434294481903252*log(1 + 22.53151821272*m.x2121) +
0.434294481903252*log(1 + 49.36531324079*m.x2122) + 0.434294481903252*log(1 + 79.77042789874*
m.x2123) + 0.434294481903252*log(1 + 75.03293120749*m.x2124) + 0.434294481903252*log(1 +
16.62516098793*m.x2125) + 0.434294481903252*log(1 + 28.73269868387*m.x2126) + 0.434294481903252*
log(1 + 46.81713681899*m.x2127) + 0.434294481903252*log(1 + 4.04177927715*m.x2128) +
0.434294481903252*log(1 + 20.89813748113*m.x2129) + 0.434294481903252*log(1 + 87.21478596907*
m.x2130) + 0.434294481903252*log(1 + 227.71759008384*m.x2131) + 0.434294481903252*log(1 +
30.0445447881*m.x2132) + 0.434294481903252*log(1 + 53.60093552202*m.x2133) + 0.434294481903252*
log(1 + 361.77483717863*m.x2134) + 0.434294481903252*log(1 + 3.2025210206*m.x2135) +
0.434294481903252*log(1 + 28.30726953323*m.x2136) + 0.434294481903252*log(1 + 47.24387178002*
m.x2137) + 0.434294481903252*log(1 + 308.77383015399*m.x2138) + 0.434294481903252*log(1 +
47.98031290648*m.x2139) + 0.434294481903252*log(1 + 80.47551543509*m.x2140) + 0.434294481903252*
log(1 + 4.52544117708*m.x2141) + 0.434294481903252*log(1 + 55.39883203564*m.x2142) +
0.434294481903252*log(1 + 20.93410674465*m.x2143) + 0.434294481903252*log(1 + 46.20211670467*
m.x2144) + 0.434294481903252*log(1 + 3.09555090738*m.x2145) + 0.434294481903252*log(1 +
36.49630866732*m.x2146) + 0.434294481903252*log(1 + 12.5252153483*m.x2147) + 0.434294481903252*
log(1 + 34.54049144037*m.x2148) + 0.434294481903252*log(1 + 12.34611713729*m.x2149) +
0.434294481903252*log(1 + 90.60047701873*m.x2150) + 0.434294481903252*log(1 + 34.74676931431*
m.x2151) + 0.434294481903252*log(1 + 236.022064221*m.x2152) + 0.434294481903252*log(1 +
89.75008057421*m.x2153) + 0.434294481903252*log(1 + 58.98229627947*m.x2154) + 0.434294481903252*
log(1 + 87.95848064047*m.x2155) + 0.434294481903252*log(1 + 9.80592164826*m.x2156) +
0.434294481903252*log(1 + 11.23771243079*m.x2157) + 0.434294481903252*log(1 + 54.87089385749*
m.x2158) + 0.434294481903252*log(1 + 265.03862591922*m.x2159) + 0.434294481903252*log(1 +
7.1188311335*m.x2160) + 0.434294481903252*log(1 + 187.59950858754*m.x2161) + 0.434294481903252*
log(1 + 81.53347241787*m.x2162) + 0.434294481903252*log(1 + 38.40562530273*m.x2163) +
0.434294481903252*log(1 + 8.15238695592*m.x2164) + 0.434294481903252*log(1 + 6.11213254712*
m.x2165) + 0.434294481903252*log(1 + 19.43104122082*m.x2166) + 0.434294481903252*log(1 +
6.10497847349*m.x2167) + 0.434294481903252*log(1 + 45.15627291365*m.x2168) + 0.434294481903252*
log(1 + 101.91887641171*m.x2169) + 0.434294481903252*log(1 + 54.40120463059*m.x2170) +
0.434294481903252*log(1 + 82.80451291957*m.x2171) + 0.434294481903252*log(1 + 4.54267639126*
m.x2172) + 0.434294481903252*log(1 + 34.39796928131*m.x2173) + 0.434294481903252*log(1 +
30.11870076221*m.x2174) + 0.434294481903252*log(1 + 39.71545669925*m.x2175) + 0.434294481903252*
log(1 + 0.9747856048603*m.x2176) + 0.434294481903252*log(1 + 1.18317736337*m.x2177) +
0.434294481903252*log(1 + 17.00358549291*m.x2178) + 0.434294481903252*log(1 + 95.7352450243*
m.x2179) + 0.434294481903252*log(1 + 1.11821260834*m.x2180) + 0.434294481903252*log(1 +
135.01350288422*m.x2181) + 0.434294481903252*log(1 + 25.33501134347*m.x2182) + 0.434294481903252
*log(1 + 26.9082069594*m.x2183) + 0.434294481903252*log(1 + 55.0740468329*m.x2184) +
0.434294481903252*log(1 + 19.32526707234*m.x2185) + 0.434294481903252*log(1 + 41.04620029672*
m.x2186) + 0.434294481903252*log(1 + 34.0214588391*m.x2187) + 0.434294481903252*log(1 +
19.88607828383*m.x2188) + 0.434294481903252*log(1 + 71.81868061832*m.x2189) + 0.434294481903252*
log(1 + 5.94279222076*m.x2190) + 0.434294481903252*log(1 + 43.7115226124*m.x2191) +
0.434294481903252*log(1 + 28.840979565*m.x2192) + 0.434294481903252*log(1 + 44.29644464346*
m.x2193) + 0.434294481903252*log(1 + 40.22302604688*m.x2194) + 0.434294481903252*log(1 +
32.20329365151*m.x2195) + 0.434294481903252*log(1 + 28.65083782144*m.x2196) + 0.434294481903252*
log(1 + 86.4619786567*m.x2197) + 0.434294481903252*log(1 + 19.38916727981*m.x2198) +
0.434294481903252*log(1 + 66.3232032451*m.x2199) + 0.434294481903252*log(1 + 8.04887770934*
m.x2200) + 0.434294481903252*log(1 + 96.29133981298*m.x2201) + 0.434294481903252*log(1 +
19.92227635969*m.x2202) + 0.434294481903252*log(1 + 1.1748238821*m.x2203) + 0.434294481903252*
log(1 + 6.63345198533*m.x2204) + 0.434294481903252*log(1 + 508.13722057603*m.x2205) +
0.434294481903252*log(1 + 4.17999382651*m.x2206) + 0.434294481903252*log(1 + 46.9953510986*
m.x2207) + 0.434294481903252*log(1 + 105.50189983723*m.x2208) + 0.434294481903252*log(1 +
283.78080594163*m.x2209) + 0.434294481903252*log(1 + 59.17225720582*m.x2210) + 0.434294481903252
*log(1 + 12.53984128851*m.x2211) + 0.434294481903252*log(1 + 53.9566359899*m.x2212) +
0.434294481903252*log(1 + 72.31424230843*m.x2213) + 0.434294481903252*log(1 + 66.83902085249*
m.x2214) + 0.434294481903252*log(1 + 91.2748270874*m.x2215) + 0.434294481903252*log(1 +
171.31454466634*m.x2216) + 0.434294481903252*log(1 + 4.60271322681*m.x2217) + 0.434294481903252*
log(1 + 84.51455644853*m.x2218) + 0.434294481903252*log(1 + 63.89031430255*m.x2219) +
0.434294481903252*log(1 + 88.40462339292*m.x2220) + 0.434294481903252*log(1 + 116.31063443542*
m.x2221) + 0.434294481903252*log(1 + 53.22662539038*m.x2222) + 0.434294481903252*log(1 +
29.76349025764*m.x2223) + 0.434294481903252*log(1 + 23.40986215891*m.x2224) + 0.434294481903252*
log(1 + 7.03918886705*m.x2225) + 0.434294481903252*log(1 + 0.7418551789613*m.x2226) +
0.434294481903252*log(1 + 169.1226866005*m.x2227) + 0.434294481903252*log(1 + 247.8020866*
m.x2228) + 0.434294481903252*log(1 + 2.00089854776*m.x2229) + 0.434294481903252*log(1 +
19.27572674607*m.x2230) + 0.434294481903252*log(1 + 74.75300507993*m.x2231) + 0.434294481903252*
log(1 + 58.04879329216*m.x2232) + 0.434294481903252*log(1 + 86.55774431361*m.x2233) +
0.434294481903252*log(1 + 10.3684903513*m.x2234) + 0.434294481903252*log(1 + 44.79977649565*
m.x2235) + 0.434294481903252*log(1 + 58.93281918568*m.x2236) + 0.434294481903252*log(1 +
11.93767740425*m.x2237) + 0.434294481903252*log(1 + 84.66850380039*m.x2238) + 0.434294481903252*
log(1 + 18.01231145506*m.x2239) + 0.434294481903252*log(1 + 43.58744612*m.x2240) +
0.434294481903252*log(1 + 37.79377777343*m.x2241) + 0.434294481903252*log(1 + 1.80194271515*
m.x2242) + 0.434294481903252*log(1 + 58.89154794923*m.x2243) + 0.434294481903252*log(1 +
7.43435631735*m.x2244) + 0.434294481903252*log(1 + 2.51575632306*m.x2245) + 0.434294481903252*
log(1 + 0.05360446236079*m.x2246) + 0.434294481903252*log(1 + 14.69726328085*m.x2247) +
0.434294481903252*log(1 + 7.97029184083*m.x2248) + 0.434294481903252*log(1 + 47.99493551447*
m.x2249) + 0.434294481903252*log(1 + 12.25090645054*m.x2250) + 0.434294481903252*log(1 +
39.69596270452*m.x2251) + 0.434294481903252*log(1 + 61.09744775693*m.x2252) + 0.434294481903252*
log(1 + 31.76973129589*m.x2253) + 0.434294481903252*log(1 + 61.49982531774*m.x2254) +
0.434294481903252*log(1 + 17.51975541896*m.x2255) + 0.434294481903252*log(1 + 215.00093378437*
m.x2256) + 0.434294481903252*log(1 + 237.60407207348*m.x2257) + 0.434294481903252*log(1 +
161.85911117271*m.x2258) + 0.434294481903252*log(1 + 16.20749454644*m.x2259) + 0.434294481903252
*log(1 + 35.30994174971*m.x2260) + 0.434294481903252*log(1 + 11.64793406575*m.x2261) +
0.434294481903252*log(1 + 60.63325622625*m.x2262) + 0.434294481903252*log(1 + 87.05800337411*
m.x2263) + 0.434294481903252*log(1 + 20.25525485018*m.x2264) + 0.434294481903252*log(1 +
133.85403050366*m.x2265) + 0.434294481903252*log(1 + 26.97289220414*m.x2266) + 0.434294481903252
*log(1 + 28.04853952459*m.x2267) + 0.434294481903252*log(1 + 4.51789626732*m.x2268) +
0.434294481903252*log(1 + 39.52214251999*m.x2269) + 0.434294481903252*log(1 + 64.69084208048*
m.x2270) + 0.434294481903252*log(1 + 35.8646452345*m.x2271) + 0.434294481903252*log(1 +
18.2048984942*m.x2272) + 0.434294481903252*log(1 + 89.46511307496*m.x2273) + 0.434294481903252*
log(1 + 1.20080352997*m.x2274) + 0.434294481903252*log(1 + 69.15764396604*m.x2275) +
0.434294481903252*log(1 + 63.15647481452*m.x2276) + 0.434294481903252*log(1 + 31.62684688484*
m.x2277) + 0.434294481903252*log(1 + 430.39283645938*m.x2278) + 0.434294481903252*log(1 +
11.84452925658*m.x2279) + 0.434294481903252*log(1 + 126.17333912989*m.x2280) + 0.434294481903252
*log(1 + 4.29579290036*m.x2281) + 0.434294481903252*log(1 + 10.33469392996*m.x2282) +
0.434294481903252*log(1 + 11.25469359669*m.x2283) + 0.434294481903252*log(1 + 20.92621275971*
m.x2284) + 0.434294481903252*log(1 + 20.34175295056*m.x2285) + 0.434294481903252*log(1 +
155.39636733838*m.x2286) + 0.434294481903252*log(1 + 9.04267346658*m.x2287) + 0.434294481903252*
log(1 + 43.08767017171*m.x2288) + 0.434294481903252*log(1 + 62.65063985913*m.x2289) +
0.434294481903252*log(1 + 704.07835653638*m.x2290) + 0.434294481903252*log(1 + 24.67656218539*
m.x2291) + 0.434294481903252*log(1 + 14.12651410576*m.x2292) + 0.434294481903252*log(1 +
64.81582995977*m.x2293) + 0.434294481903252*log(1 + 6.76652128718*m.x2294) + 0.434294481903252*
log(1 + 641.4802965214*m.x2295) + 0.434294481903252*log(1 + 7.2927020871*m.x2296) +
0.434294481903252*log(1 + 13.87529862081*m.x2297) + 0.434294481903252*log(1 + 65.03417340395*
m.x2298) + 0.434294481903252*log(1 + 18.1381112172*m.x2299) + 0.434294481903252*log(1 +
5.92601568718*m.x2300) + 0.434294481903252*log(1 + 27.51070095598*m.x2301) + 0.434294481903252*
log(1 + 364.82642680347*m.x2302) + 0.434294481903252*log(1 + 52.64179744556*m.x2303) +
0.434294481903252*log(1 + 0.9870857117849*m.x2304) + 0.434294481903252*log(1 + 82.20889169874*
m.x2305) + 0.434294481903252*log(1 + 0.8187024939989*m.x2306) + 0.434294481903252*log(1 +
29.34275187109*m.x2307) + 0.434294481903252*log(1 + 1144.93911129451*m.x2308) +
0.434294481903252*log(1 + 64.75699455592*m.x2309) + 0.434294481903252*log(1 + 3.91812852814*
m.x2310) + 0.434294481903252*log(1 + 142.04808247822*m.x2311) + 0.434294481903252*log(1 +
3.6722229341*m.x2312) + 0.434294481903252*log(1 + 75.61244746349*m.x2313) + 0.434294481903252*
log(1 + 24.00717541141*m.x2314) + 0.434294481903252*log(1 + 336.60875341003*m.x2315) +
0.434294481903252*log(1 + 10.12147545976*m.x2316) + 0.434294481903252*log(1 + 25.13150272276*
m.x2317) + 0.434294481903252*log(1 + 6.91032238339*m.x2318) + 0.434294481903252*log(1 +
116.10841282708*m.x2319) + 0.434294481903252*log(1 + 6.6949334293*m.x2320) + 0.434294481903252*
log(1 + 333.48093346712*m.x2321) + 0.434294481903252*log(1 + 25.44145007388*m.x2322) +
0.434294481903252*log(1 + 60.49451549046*m.x2323) + 0.434294481903252*log(1 + 22.36108902491*
m.x2324) + 0.434294481903252*log(1 + 6.69272070876*m.x2325) + 0.434294481903252*log(1 +
147.24097895707*m.x2326) + 0.434294481903252*log(1 + 254.12115081313*m.x2327) +
0.434294481903252*log(1 + 21.69866058421*m.x2328) + 0.434294481903252*log(1 + 2.077616024*
m.x2329) + 0.434294481903252*log(1 + 36.98857361327*m.x2330) + 0.434294481903252*log(1 +
315.37425036734*m.x2331) + 0.434294481903252*log(1 + 10.10895978504*m.x2332) + 0.434294481903252
*log(1 + 29.64480037586*m.x2333) + 0.434294481903252*log(1 + 17.58371958185*m.x2334) +
0.434294481903252*log(1 + 9.95821104542*m.x2335) + 0.434294481903252*log(1 + 61.00278678308*
m.x2336) + 0.434294481903252*log(1 + 130.08710737114*m.x2337) + 0.434294481903252*log(1 +
57.20334576046*m.x2338) + 0.434294481903252*log(1 + 64.46272654994*m.x2339) + 0.434294481903252*
log(1 + 67.50358677211*m.x2340) + 0.434294481903252*log(1 + 330.73013162378*m.x2341) +
0.434294481903252*log(1 + 60.13469365423*m.x2342) + 0.434294481903252*log(1 + 15.97746636471*
m.x2343) + 0.434294481903252*log(1 + 13.53615062014*m.x2344) + 0.434294481903252*log(1 +
53.9850564*m.x2345) + 0.434294481903252*log(1 + 8.63733890962*m.x2346) + 0.434294481903252*log(1
+ 132.24445742651*m.x2347) + 0.434294481903252*log(1 + 46.70821955884*m.x2348) +
0.434294481903252*log(1 + 116.42134176029*m.x2349) + 0.434294481903252*log(1 + 38.03737565908*
m.x2350) + 0.434294481903252*log(1 + 24.16751751253*m.x2351) + 0.434294481903252*log(1 +
161.2014047572*m.x2352) + 0.434294481903252*log(1 + 9.90925519382*m.x2353) + 0.434294481903252*
log(1 + 14.39780534816*m.x2354) + 0.434294481903252*log(1 + 17.15979702736*m.x2355) +
0.434294481903252*log(1 + 11.42797094653*m.x2356) + 0.434294481903252*log(1 + 19.51094543398*
m.x2357) + 0.434294481903252*log(1 + 32.16500033989*m.x2358) + 0.434294481903252*log(1 +
17.34500145074*m.x2359) + 0.434294481903252*log(1 + 172.18467182711*m.x2360) + 0.434294481903252
*log(1 + 7.36211618737*m.x2361) + 0.434294481903252*log(1 + 15.24643918695*m.x2362) +
0.434294481903252*log(1 + 33.46631926052*m.x2363) + 0.434294481903252*log(1 + 23.20969617865*
m.x2364) + 0.434294481903252*log(1 + 20.39132207831*m.x2365) + 0.434294481903252*log(1 +
28.84464828244*m.x2366) + 0.434294481903252*log(1 + 2421.56224650282*m.x2367) +
0.434294481903252*log(1 + 88.82783311442*m.x2368) + 0.434294481903252*log(1 + 312.59588912188*
m.x2369) + 0.434294481903252*log(1 + 0.2103505269494*m.x2370) + 0.434294481903252*log(1 +
36.82822485861*m.x2371) + 0.434294481903252*log(1 + 23.32215898088*m.x2372) + 0.434294481903252*
log(1 + 148.55824717979*m.x2373) + 0.434294481903252*log(1 + 32.84726084698*m.x2374) +
0.434294481903252*log(1 + 10.21952244644*m.x2375) + 0.434294481903252*log(1 + 13.48477804874*
m.x2376) + 0.434294481903252*log(1 + 15.04438616108*m.x2377) + 0.434294481903252*log(1 +
122.2776638675*m.x2378) + 0.434294481903252*log(1 + 238.28645940237*m.x2379) + 0.434294481903252
*log(1 + 16.50720923517*m.x2380) + 0.434294481903252*log(1 + 80.30028900181*m.x2381) +
0.434294481903252*log(1 + 27.51426826355*m.x2382) + 0.434294481903252*log(1 + 11.87335871268*
m.x2383) + 0.434294481903252*log(1 + 10.90690664231*m.x2384) + 0.434294481903252*log(1 +
55.41642940132*m.x2385) + 0.434294481903252*log(1 + 563.24898304522*m.x2386) + 0.434294481903252
*log(1 + 9.79816879018*m.x2387) + 0.434294481903252*log(1 + 14.52349011908*m.x2388) +
0.434294481903252*log(1 + 64.74846909924*m.x2389) + 0.434294481903252*log(1 + 14.42303147761*
m.x2390) + 0.434294481903252*log(1 + 408.29495066734*m.x2391) + 0.434294481903252*log(1 +
38.10302628349*m.x2392) + 0.434294481903252*log(1 + 68.41255412916*m.x2393) + 0.434294481903252*
log(1 + 262.43829091115*m.x2394) + 0.434294481903252*log(1 + 3.12643740198*m.x2395) +
0.434294481903252*log(1 + 24.35470925628*m.x2396) + 0.434294481903252*log(1 + 119.00958005317*
m.x2397) + 0.434294481903252*log(1 + 216.7406698983*m.x2398) + 0.434294481903252*log(1 +
20.66414645136*m.x2399) + 0.434294481903252*log(1 + 447.99794849155*m.x2400) >= 7.5257498916)
m.c14 = Constraint(expr=0.434294481903252*log(1 + 0.4115927445576*m.x2401) + 0.434294481903252*log(1 + 0.2828940581261*
m.x2402) + 0.434294481903252*log(1 + 3.65626762008*m.x2403) + 0.434294481903252*log(1 +
1.58288625549*m.x2404) + 0.434294481903252*log(1 + 0.7673936651729*m.x2405) + 0.434294481903252*
log(1 + 1.64682532645*m.x2406) + 0.434294481903252*log(1 + 2.92806935794*m.x2407) +
0.434294481903252*log(1 + 0.9443647558144*m.x2408) + 0.434294481903252*log(1 + 1.43285255728*
m.x2409) + 0.434294481903252*log(1 + 0.5422269048551*m.x2410) + 0.434294481903252*log(1 +
0.05064789245991*m.x2411) + 0.434294481903252*log(1 + 6.97744242812*m.x2412) + 0.434294481903252
*log(1 + 0.3909137546391*m.x2413) + 0.434294481903252*log(1 + 0.3032058018745*m.x2414) +
0.434294481903252*log(1 + 0.1208799214511*m.x2415) + 0.434294481903252*log(1 + 0.3213612763066*
m.x2416) + 0.434294481903252*log(1 + 4.90796210762*m.x2417) + 0.434294481903252*log(1 +
17.72541393372*m.x2418) + 0.434294481903252*log(1 + 0.172021789272*m.x2419) + 0.434294481903252*
log(1 + 0.3615551631877*m.x2420) + 0.434294481903252*log(1 + 6.12280984572*m.x2421) +
0.434294481903252*log(1 + 0.4422297866605*m.x2422) + 0.434294481903252*log(1 + 0.0276979023636*
m.x2423) + 0.434294481903252*log(1 + 0.08072735925235*m.x2424) + 0.434294481903252*log(1 +
1.03155582269*m.x2425) + 0.434294481903252*log(1 + 0.04454190020798*m.x2426) + 0.434294481903252
*log(1 + 6.13648890584*m.x2427) + 0.434294481903252*log(1 + 0.8535137806412*m.x2428) +
0.434294481903252*log(1 + 1.62244459068*m.x2429) + 0.434294481903252*log(1 + 3.5483212272*
m.x2430) + 0.434294481903252*log(1 + 0.5307845466406*m.x2431) + 0.434294481903252*log(1 +
0.2757417480881*m.x2432) + 0.434294481903252*log(1 + 3.92388947791*m.x2433) + 0.434294481903252*
log(1 + 0.9438781787883*m.x2434) + 0.434294481903252*log(1 + 1.87952372014*m.x2435) +
0.434294481903252*log(1 + 1.48259548973*m.x2436) + 0.434294481903252*log(1 + 0.03031730177508*
m.x2437) + 0.434294481903252*log(1 + 6.06126198772*m.x2438) + 0.434294481903252*log(1 +
0.6472595326349*m.x2439) + 0.434294481903252*log(1 + 0.8181612444953*m.x2440) +
0.434294481903252*log(1 + 1.06692442809*m.x2441) + 0.434294481903252*log(1 + 6.40539312089*
m.x2442) + 0.434294481903252*log(1 + 0.08242233223484*m.x2443) + 0.434294481903252*log(1 +
0.9246462441743*m.x2444) + 0.434294481903252*log(1 + 0.2113329462541*m.x2445) +
0.434294481903252*log(1 + 2.95095323826*m.x2446) + 0.434294481903252*log(1 + 14.03937918038*
m.x2447) + 0.434294481903252*log(1 + 0.0678185404662*m.x2448) + 0.434294481903252*log(1 +
3.62580096386*m.x2449) + 0.434294481903252*log(1 + 0.0568762470984*m.x2450) + 0.434294481903252*
log(1 + 0.1586907950087*m.x2451) + 0.434294481903252*log(1 + 0.3613334661022*m.x2452) +
0.434294481903252*log(1 + 2.14578832392*m.x2453) + 0.434294481903252*log(1 + 0.2201086321154*
m.x2454) + 0.434294481903252*log(1 + 0.1306316133116*m.x2455) + 0.434294481903252*log(1 +
0.406381102072*m.x2456) + 0.434294481903252*log(1 + 4.37509998731*m.x2457) + 0.434294481903252*
log(1 + 1.17360899078*m.x2458) + 0.434294481903252*log(1 + 3.31133512015*m.x2459) +
0.434294481903252*log(1 + 0.2977098535161*m.x2460) + 0.434294481903252*log(1 + 0.5842913747576*
m.x2461) + 0.434294481903252*log(1 + 11.12812822412*m.x2462) + 0.434294481903252*log(1 +
0.5658757015408*m.x2463) + 0.434294481903252*log(1 + 1.47107256573*m.x2464) + 0.434294481903252*
log(1 + 7.10593050192*m.x2465) + 0.434294481903252*log(1 + 0.492600156562*m.x2466) +
0.434294481903252*log(1 + 1.46735128833*m.x2467) + 0.434294481903252*log(1 + 0.08468528075584*
m.x2468) + 0.434294481903252*log(1 + 0.1844187566737*m.x2469) + 0.434294481903252*log(1 +
3.56660525032*m.x2470) + 0.434294481903252*log(1 + 1.48134138515*m.x2471) + 0.434294481903252*
log(1 + 0.009337187073677*m.x2472) + 0.434294481903252*log(1 + 0.2699860532141*m.x2473) +
0.434294481903252*log(1 + 0.4164104822785*m.x2474) + 0.434294481903252*log(1 + 0.761816941239*
m.x2475) + 0.434294481903252*log(1 + 0.1495282223181*m.x2476) + 0.434294481903252*log(1 +
0.4260460781188*m.x2477) + 0.434294481903252*log(1 + 0.7918930592845*m.x2478) +
0.434294481903252*log(1 + 0.2919466285892*m.x2479) + 0.434294481903252*log(1 + 2.37211872254*
m.x2480) + 0.434294481903252*log(1 + 0.1249725434766*m.x2481) + 0.434294481903252*log(1 +
0.1939883270528*m.x2482) + 0.434294481903252*log(1 + 2.62618303306*m.x2483) + 0.434294481903252*
log(1 + 3.67077022575*m.x2484) + 0.434294481903252*log(1 + 2.5085533759*m.x2485) +
0.434294481903252*log(1 + 0.8671678334676*m.x2486) + 0.434294481903252*log(1 + 0.4063988068985*
m.x2487) + 0.434294481903252*log(1 + 23.34603538048*m.x2488) + 0.434294481903252*log(1 +
0.4181006290531*m.x2489) + 0.434294481903252*log(1 + 0.4123703684564*m.x2490) +
0.434294481903252*log(1 + 0.07284149439186*m.x2491) + 0.434294481903252*log(1 + 1.98360434211*
m.x2492) + 0.434294481903252*log(1 + 1.73627611326*m.x2493) + 0.434294481903252*log(1 +
0.006145203681454*m.x2494) + 0.434294481903252*log(1 + 0.8702245063341*m.x2495) +
0.434294481903252*log(1 + 1.15990976954*m.x2496) + 0.434294481903252*log(1 + 0.2313439476122*
m.x2497) + 0.434294481903252*log(1 + 6.77884180489*m.x2498) + 0.434294481903252*log(1 +
0.7283100522807*m.x2499) + 0.434294481903252*log(1 + 0.9289686268041*m.x2500) +
0.434294481903252*log(1 + 1.31027800286*m.x2501) + 0.434294481903252*log(1 + 0.1258239211261*
m.x2502) + 0.434294481903252*log(1 + 0.2482875705799*m.x2503) + 0.434294481903252*log(1 +
1.53679573984*m.x2504) + 0.434294481903252*log(1 + 0.005693198577926*m.x2505) +
0.434294481903252*log(1 + 0.03941237206499*m.x2506) + 0.434294481903252*log(1 + 5.77065849405*
m.x2507) + 0.434294481903252*log(1 + 0.6293202157957*m.x2508) + 0.434294481903252*log(1 +
0.4827025179651*m.x2509) + 0.434294481903252*log(1 + 0.08590618612328*m.x2510) +
0.434294481903252*log(1 + 0.2342985661724*m.x2511) + 0.434294481903252*log(1 + 0.434121868685*
m.x2512) + 0.434294481903252*log(1 + 2.36235848826*m.x2513) + 0.434294481903252*log(1 +
1.65405783345*m.x2514) + 0.434294481903252*log(1 + 0.2339194653159*m.x2515) + 0.434294481903252*
log(1 + 0.7348169014359*m.x2516) + 0.434294481903252*log(1 + 0.7823550845478*m.x2517) +
0.434294481903252*log(1 + 0.1565744875762*m.x2518) + 0.434294481903252*log(1 + 1.78794242679*
m.x2519) + 0.434294481903252*log(1 + 0.4390587583795*m.x2520) + 0.434294481903252*log(1 +
1.93045422105*m.x2521) + 0.434294481903252*log(1 + 2.56820521026*m.x2522) + 0.434294481903252*
log(1 + 1.20411995969*m.x2523) + 0.434294481903252*log(1 + 0.1345228501232*m.x2524) +
0.434294481903252*log(1 + 0.3809352987955*m.x2525) + 0.434294481903252*log(1 + 1.09064996624*
m.x2526) + 0.434294481903252*log(1 + 10.21651113349*m.x2527) + 0.434294481903252*log(1 +
2.86955911755*m.x2528) + 0.434294481903252*log(1 + 0.3719318021835*m.x2529) + 0.434294481903252*
log(1 + 0.008769505021782*m.x2530) + 0.434294481903252*log(1 + 1.70644792912*m.x2531) +
0.434294481903252*log(1 + 2.69151761696*m.x2532) + 0.434294481903252*log(1 + 0.2869423199787*
m.x2533) + 0.434294481903252*log(1 + 0.1728937769878*m.x2534) + 0.434294481903252*log(1 +
0.4237114495119*m.x2535) + 0.434294481903252*log(1 + 0.4969660706642*m.x2536) +
0.434294481903252*log(1 + 0.7353255761714*m.x2537) + 0.434294481903252*log(1 + 0.4196028948052*
m.x2538) + 0.434294481903252*log(1 + 0.4148178163072*m.x2539) + 0.434294481903252*log(1 +
2.0851487279*m.x2540) + 0.434294481903252*log(1 + 1.86483736112*m.x2541) + 0.434294481903252*
log(1 + 0.6413322872619*m.x2542) + 0.434294481903252*log(1 + 0.9443263134221*m.x2543) +
0.434294481903252*log(1 + 3.76592141157*m.x2544) + 0.434294481903252*log(1 + 0.1785360358461*
m.x2545) + 0.434294481903252*log(1 + 2.74529800287*m.x2546) + 0.434294481903252*log(1 +
1.17451415488*m.x2547) + 0.434294481903252*log(1 + 0.3640911807622*m.x2548) + 0.434294481903252*
log(1 + 0.9251881465244*m.x2549) + 0.434294481903252*log(1 + 0.07304880351802*m.x2550) +
0.434294481903252*log(1 + 0.584629031832*m.x2551) + 0.434294481903252*log(1 + 6.75444590377*
m.x2552) + 0.434294481903252*log(1 + 0.4647775145268*m.x2553) + 0.434294481903252*log(1 +
1.95990753677*m.x2554) + 0.434294481903252*log(1 + 0.4029480051874*m.x2555) + 0.434294481903252*
log(1 + 0.2453786846686*m.x2556) + 0.434294481903252*log(1 + 3.18445082764*m.x2557) +
0.434294481903252*log(1 + 0.1465838731405*m.x2558) + 0.434294481903252*log(1 + 0.1116062304923*
m.x2559) + 0.434294481903252*log(1 + 0.813285147602*m.x2560) + 0.434294481903252*log(1 +
2.67844113433*m.x2561) + 0.434294481903252*log(1 + 1.71017703333*m.x2562) + 0.434294481903252*
log(1 + 2.64709776678*m.x2563) + 0.434294481903252*log(1 + 1.27748804833*m.x2564) +
0.434294481903252*log(1 + 0.6046638104296*m.x2565) + 0.434294481903252*log(1 + 0.1740287230205*
m.x2566) + 0.434294481903252*log(1 + 0.2635339521322*m.x2567) + 0.434294481903252*log(1 +
0.860405767672*m.x2568) + 0.434294481903252*log(1 + 0.5482189234672*m.x2569) + 0.434294481903252
*log(1 + 2.65585731347*m.x2570) + 0.434294481903252*log(1 + 0.466171797703*m.x2571) +
0.434294481903252*log(1 + 1.98538890325*m.x2572) + 0.434294481903252*log(1 + 0.8020926344416*
m.x2573) + 0.434294481903252*log(1 + 0.04167081415969*m.x2574) + 0.434294481903252*log(1 +
0.9579348252392*m.x2575) + 0.434294481903252*log(1 + 1.08374709944*m.x2576) + 0.434294481903252*
log(1 + 0.6671187951042*m.x2577) + 0.434294481903252*log(1 + 0.3397887787428*m.x2578) +
0.434294481903252*log(1 + 1.46670141295*m.x2579) + 0.434294481903252*log(1 + 2.59324137894*
m.x2580) + 0.434294481903252*log(1 + 0.4222332318186*m.x2581) + 0.434294481903252*log(1 +
0.9418824347961*m.x2582) + 0.434294481903252*log(1 + 0.7122256822879*m.x2583) +
0.434294481903252*log(1 + 15.50538688312*m.x2584) + 0.434294481903252*log(1 + 0.1443489197936*
m.x2585) + 0.434294481903252*log(1 + 0.8562698870227*m.x2586) + 0.434294481903252*log(1 +
0.3637618526121*m.x2587) + 0.434294481903252*log(1 + 1.36468590668*m.x2588) + 0.434294481903252*
log(1 + 0.01409353322408*m.x2589) + 0.434294481903252*log(1 + 1.41229031653*m.x2590) +
0.434294481903252*log(1 + 0.7780258066352*m.x2591) + 0.434294481903252*log(1 + 49.39435105031*
m.x2592) + 0.434294481903252*log(1 + 0.004659407105691*m.x2593) + 0.434294481903252*log(1 +
0.7468748375942*m.x2594) + 0.434294481903252*log(1 + 1.82826826222*m.x2595) + 0.434294481903252*
log(1 + 0.363376840219*m.x2596) + 0.434294481903252*log(1 + 0.02696588592609*m.x2597) +
0.434294481903252*log(1 + 0.01934200540038*m.x2598) + 0.434294481903252*log(1 + 2.52552496323*
m.x2599) + 0.434294481903252*log(1 + 4.18141862603*m.x2600) + 0.434294481903252*log(1 +
3.59406373631*m.x2601) + 0.434294481903252*log(1 + 0.6300605200807*m.x2602) + 0.434294481903252*
log(1 + 0.3555785712519*m.x2603) + 0.434294481903252*log(1 + 1.03293546797*m.x2604) +
0.434294481903252*log(1 + 1.8783336737*m.x2605) + 0.434294481903252*log(1 + 1.16134165138*
m.x2606) + 0.434294481903252*log(1 + 2.21277705844*m.x2607) + 0.434294481903252*log(1 +
66.06592139877*m.x2608) + 0.434294481903252*log(1 + 0.6492614229992*m.x2609) + 0.434294481903252
*log(1 + 42.54098005553*m.x2610) + 0.434294481903252*log(1 + 0.3327713056583*m.x2611) +
0.434294481903252*log(1 + 0.4165069910047*m.x2612) + 0.434294481903252*log(1 + 2.4816265023*
m.x2613) + 0.434294481903252*log(1 + 0.4058953589906*m.x2614) + 0.434294481903252*log(1 +
0.5680849304879*m.x2615) + 0.434294481903252*log(1 + 0.5866273686578*m.x2616) +
0.434294481903252*log(1 + 4.62736580729*m.x2617) + 0.434294481903252*log(1 + 0.5483665079371*
m.x2618) + 0.434294481903252*log(1 + 0.02067692422469*m.x2619) + 0.434294481903252*log(1 +
1.1764550792*m.x2620) + 0.434294481903252*log(1 + 3.20807215977*m.x2621) + 0.434294481903252*
log(1 + 5.09178866805*m.x2622) + 0.434294481903252*log(1 + 0.8796575689733*m.x2623) +
0.434294481903252*log(1 + 0.3336176462761*m.x2624) + 0.434294481903252*log(1 + 2.17177189005*
m.x2625) + 0.434294481903252*log(1 + 0.9113276202201*m.x2626) + 0.434294481903252*log(1 +
24.76694362703*m.x2627) + 0.434294481903252*log(1 + 0.6266936528866*m.x2628) + 0.434294481903252
*log(1 + 1.37407608509*m.x2629) + 0.434294481903252*log(1 + 4.69987830868*m.x2630) +
0.434294481903252*log(1 + 1.04412215612*m.x2631) + 0.434294481903252*log(1 + 1.92543770804*
m.x2632) + 0.434294481903252*log(1 + 0.8331126628975*m.x2633) + 0.434294481903252*log(1 +
1.18390884474*m.x2634) + 0.434294481903252*log(1 + 0.6771506541673*m.x2635) + 0.434294481903252*
log(1 + 0.1922426641635*m.x2636) + 0.434294481903252*log(1 + 0.1150522541104*m.x2637) +
0.434294481903252*log(1 + 1.16128348956*m.x2638) + 0.434294481903252*log(1 + 0.9994142034994*
m.x2639) + 0.434294481903252*log(1 + 0.5348174830026*m.x2640) + 0.434294481903252*log(1 +
1.07035392491*m.x2641) + 0.434294481903252*log(1 + 1.09564619971*m.x2642) + 0.434294481903252*
log(1 + 4.028958187*m.x2643) + 0.434294481903252*log(1 + 0.09196224492675*m.x2644) +
0.434294481903252*log(1 + 1.43054785561*m.x2645) + 0.434294481903252*log(1 + 0.04753648233569*
m.x2646) + 0.434294481903252*log(1 + 0.3156010313043*m.x2647) + 0.434294481903252*log(1 +
0.3163622375661*m.x2648) + 0.434294481903252*log(1 + 0.1708906640403*m.x2649) +
0.434294481903252*log(1 + 2.04492395371*m.x2650) + 0.434294481903252*log(1 + 0.4512880239731*
m.x2651) + 0.434294481903252*log(1 + 0.4773298491016*m.x2652) + 0.434294481903252*log(1 +
5.58700262598*m.x2653) + 0.434294481903252*log(1 + 2.5198141536*m.x2654) + 0.434294481903252*
log(1 + 0.121994034764*m.x2655) + 0.434294481903252*log(1 + 0.4904332993344*m.x2656) +
0.434294481903252*log(1 + 0.07126505664925*m.x2657) + 0.434294481903252*log(1 + 18.88166319723*
m.x2658) + 0.434294481903252*log(1 + 0.06362862877557*m.x2659) + 0.434294481903252*log(1 +
0.08157272772815*m.x2660) + 0.434294481903252*log(1 + 0.06957939374923*m.x2661) +
0.434294481903252*log(1 + 0.2211715375748*m.x2662) + 0.434294481903252*log(1 + 0.190599795073*
m.x2663) + 0.434294481903252*log(1 + 0.1464862148544*m.x2664) + 0.434294481903252*log(1 +
0.4069493717309*m.x2665) + 0.434294481903252*log(1 + 0.08236445496461*m.x2666) +
0.434294481903252*log(1 + 0.2176954852261*m.x2667) + 0.434294481903252*log(1 + 0.4393362360224*
m.x2668) + 0.434294481903252*log(1 + 1.36741865003*m.x2669) + 0.434294481903252*log(1 +
3.35471186265*m.x2670) + 0.434294481903252*log(1 + 0.5593911096162*m.x2671) + 0.434294481903252*
log(1 + 0.3648285950059*m.x2672) + 0.434294481903252*log(1 + 1.33907556371*m.x2673) +
0.434294481903252*log(1 + 0.6641358050478*m.x2674) + 0.434294481903252*log(1 + 0.1192498259978*
m.x2675) + 0.434294481903252*log(1 + 0.690101002084*m.x2676) + 0.434294481903252*log(1 +
5.40800305531*m.x2677) + 0.434294481903252*log(1 + 0.5037762888931*m.x2678) + 0.434294481903252*
log(1 + 0.1497673627548*m.x2679) + 0.434294481903252*log(1 + 1.12917260436*m.x2680) +
0.434294481903252*log(1 + 0.1213637184725*m.x2681) + 0.434294481903252*log(1 + 0.2825966806632*
m.x2682) + 0.434294481903252*log(1 + 0.1206971332217*m.x2683) + 0.434294481903252*log(1 +
6.57832277628*m.x2684) + 0.434294481903252*log(1 + 0.9511490619748*m.x2685) + 0.434294481903252*
log(1 + 1.1209973133*m.x2686) + 0.434294481903252*log(1 + 11.22199203932*m.x2687) +
0.434294481903252*log(1 + 5.14635622913*m.x2688) + 0.434294481903252*log(1 + 0.1635068769648*
m.x2689) + 0.434294481903252*log(1 + 26.05667181658*m.x2690) + 0.434294481903252*log(1 +
1.78327218225*m.x2691) + 0.434294481903252*log(1 + 0.9217428973323*m.x2692) + 0.434294481903252*
log(1 + 0.3518226909124*m.x2693) + 0.434294481903252*log(1 + 0.2081335332514*m.x2694) +
0.434294481903252*log(1 + 0.1424956684182*m.x2695) + 0.434294481903252*log(1 + 0.1884134718502*
m.x2696) + 0.434294481903252*log(1 + 2.46806147296*m.x2697) + 0.434294481903252*log(1 +
0.4643144646646*m.x2698) + 0.434294481903252*log(1 + 1.08313846193*m.x2699) + 0.434294481903252*
log(1 + 1.68916431629*m.x2700) >= 7.5257498916)
m.c15 = Constraint(expr=0.434294481903252*log(1 + 127585.800118451*m.x2701) + 0.434294481903252*log(1 + 681481.644279934
*m.x2702) + 0.434294481903252*log(1 + 587428.19220859*m.x2703) + 0.434294481903252*log(1 +
360231.152750982*m.x2704) + 0.434294481903252*log(1 + 27290.659480689*m.x2705) +
0.434294481903252*log(1 + 63391.3703955907*m.x2706) + 0.434294481903252*log(1 + 139286.870307851
*m.x2707) + 0.434294481903252*log(1 + 852066.665264528*m.x2708) + 0.434294481903252*log(1 +
43747.480449771*m.x2709) + 0.434294481903252*log(1 + 134213.148899146*m.x2710) +
0.434294481903252*log(1 + 223338.352856014*m.x2711) + 0.434294481903252*log(1 + 14360.4245186601
*m.x2712) + 0.434294481903252*log(1 + 226220.079144514*m.x2713) + 0.434294481903252*log(1 +
23884.281232472*m.x2714) + 0.434294481903252*log(1 + 43213.9495418679*m.x2715) +
0.434294481903252*log(1 + 116350.064957986*m.x2716) + 0.434294481903252*log(1 + 270228.188889398
*m.x2717) + 0.434294481903252*log(1 + 45787.0475802472*m.x2718) + 0.434294481903252*log(1 +
188591.073480143*m.x2719) + 0.434294481903252*log(1 + 8012.86752921834*m.x2720) +
0.434294481903252*log(1 + 3960.47135899574*m.x2721) + 0.434294481903252*log(1 + 82791.3258014896
*m.x2722) + 0.434294481903252*log(1 + 126781.941307661*m.x2723) + 0.434294481903252*log(1 +
78272.1299737484*m.x2724) + 0.434294481903252*log(1 + 620139.642698473*m.x2725) +
0.434294481903252*log(1 + 899191.99224964*m.x2726) + 0.434294481903252*log(1 + 32939.7304148737*
m.x2727) + 0.434294481903252*log(1 + 65066.0281925357*m.x2728) + 0.434294481903252*log(1 +
1460531.57475557*m.x2729) + 0.434294481903252*log(1 + 124181.991792237*m.x2730) +
0.434294481903252*log(1 + 38866.4681433135*m.x2731) + 0.434294481903252*log(1 + 200017.891017003
*m.x2732) + 0.434294481903252*log(1 + 358414.399070475*m.x2733) + 0.434294481903252*log(1 +
159640.663903805*m.x2734) + 0.434294481903252*log(1 + 2686736.40481544*m.x2735) +
0.434294481903252*log(1 + 330542.809288823*m.x2736) + 0.434294481903252*log(1 + 204327.625537818
*m.x2737) + 0.434294481903252*log(1 + 428423.753464976*m.x2738) + 0.434294481903252*log(1 +
198802.397637941*m.x2739) + 0.434294481903252*log(1 + 728.47840592711*m.x2740) +
0.434294481903252*log(1 + 58278.0492011947*m.x2741) + 0.434294481903252*log(1 + 233742.725152348
*m.x2742) + 0.434294481903252*log(1 + 23342.0452788385*m.x2743) + 0.434294481903252*log(1 +
1127667.80422964*m.x2744) + 0.434294481903252*log(1 + 871972.584043438*m.x2745) +
0.434294481903252*log(1 + 368708.23806541*m.x2746) + 0.434294481903252*log(1 + 1400635.98161787*
m.x2747) + 0.434294481903252*log(1 + 83643.5691666665*m.x2748) + 0.434294481903252*log(1 +
70942.5123387862*m.x2749) + 0.434294481903252*log(1 + 8405.07157968976*m.x2750) +
0.434294481903252*log(1 + 5602.56752553276*m.x2751) + 0.434294481903252*log(1 + 255694.87558902*
m.x2752) + 0.434294481903252*log(1 + 123160.906587273*m.x2753) + 0.434294481903252*log(1 +
246590.02382166*m.x2754) + 0.434294481903252*log(1 + 461771.961012066*m.x2755) +
0.434294481903252*log(1 + 160827.129061381*m.x2756) + 0.434294481903252*log(1 + 309085.550923916
*m.x2757) + 0.434294481903252*log(1 + 239338.843341839*m.x2758) + 0.434294481903252*log(1 +
520165.41221464*m.x2759) + 0.434294481903252*log(1 + 5577516.53557818*m.x2760) +
0.434294481903252*log(1 + 357345.587865392*m.x2761) + 0.434294481903252*log(1 + 77251.7456658075
*m.x2762) + 0.434294481903252*log(1 + 814125.642970545*m.x2763) + 0.434294481903252*log(1 +
326621.261621797*m.x2764) + 0.434294481903252*log(1 + 42937.7691722905*m.x2765) +
0.434294481903252*log(1 + 63057.9059644848*m.x2766) + 0.434294481903252*log(1 + 144948.453373736
*m.x2767) + 0.434294481903252*log(1 + 23280.245403646*m.x2768) + 0.434294481903252*log(1 +
10091.5270529186*m.x2769) + 0.434294481903252*log(1 + 6000.15467193638*m.x2770) +
0.434294481903252*log(1 + 55358.095057159*m.x2771) + 0.434294481903252*log(1 + 175822.569253317*
m.x2772) + 0.434294481903252*log(1 + 174611.967978819*m.x2773) + 0.434294481903252*log(1 +
9610.34267494579*m.x2774) + 0.434294481903252*log(1 + 2054329.04019135*m.x2775) +
0.434294481903252*log(1 + 305503.523669148*m.x2776) + 0.434294481903252*log(1 + 31579.4741020547
*m.x2777) + 0.434294481903252*log(1 + 292773.909388192*m.x2778) + 0.434294481903252*log(1 +
195761.309221742*m.x2779) + 0.434294481903252*log(1 + 10817.9708446616*m.x2780) +
0.434294481903252*log(1 + 233548.041250569*m.x2781) + 0.434294481903252*log(1 + 80634.7257255015
*m.x2782) + 0.434294481903252*log(1 + 104930.299237506*m.x2783) + 0.434294481903252*log(1 +
206314.262926782*m.x2784) + 0.434294481903252*log(1 + 61080.8080357812*m.x2785) +
0.434294481903252*log(1 + 37867.1544237133*m.x2786) + 0.434294481903252*log(1 + 221757.65154874*
m.x2787) + 0.434294481903252*log(1 + 18396.1912735746*m.x2788) + 0.434294481903252*log(1 +
429856.015402877*m.x2789) + 0.434294481903252*log(1 + 363890.507910455*m.x2790) +
0.434294481903252*log(1 + 1005079.77758155*m.x2791) + 0.434294481903252*log(1 + 25818.6107517883
*m.x2792) + 0.434294481903252*log(1 + 60552.88274003*m.x2793) + 0.434294481903252*log(1 +
18930.7538260103*m.x2794) + 0.434294481903252*log(1 + 487969.507427098*m.x2795) +
0.434294481903252*log(1 + 37735.9715139204*m.x2796) + 0.434294481903252*log(1 + 22550.3511980749
*m.x2797) + 0.434294481903252*log(1 + 182954.264171678*m.x2798) + 0.434294481903252*log(1 +
1239539.24845071*m.x2799) + 0.434294481903252*log(1 + 1868012.12170319*m.x2800) +
0.434294481903252*log(1 + 50055.6989926287*m.x2801) + 0.434294481903252*log(1 + 100648.955094578
*m.x2802) + 0.434294481903252*log(1 + 153133.690132207*m.x2803) + 0.434294481903252*log(1 +
517409.667484786*m.x2804) + 0.434294481903252*log(1 + 658012.279919179*m.x2805) +
0.434294481903252*log(1 + 117495.178780339*m.x2806) + 0.434294481903252*log(1 + 461174.782566179
*m.x2807) + 0.434294481903252*log(1 + 866244.605881933*m.x2808) + 0.434294481903252*log(1 +
143303.36994073*m.x2809) + 0.434294481903252*log(1 + 354720.507214598*m.x2810) +
0.434294481903252*log(1 + 125414.817188458*m.x2811) + 0.434294481903252*log(1 + 68218.8980672165
*m.x2812) + 0.434294481903252*log(1 + 36606.4666743813*m.x2813) + 0.434294481903252*log(1 +
201662.68086507*m.x2814) + 0.434294481903252*log(1 + 42842.239618539*m.x2815) +
0.434294481903252*log(1 + 1961282.59355746*m.x2816) + 0.434294481903252*log(1 + 108426.561225503
*m.x2817) + 0.434294481903252*log(1 + 418084.797392811*m.x2818) + 0.434294481903252*log(1 +
80141.8873384253*m.x2819) + 0.434294481903252*log(1 + 343068.758238575*m.x2820) +
0.434294481903252*log(1 + 137346.445442479*m.x2821) + 0.434294481903252*log(1 + 966086.740325497
*m.x2822) + 0.434294481903252*log(1 + 23216.9451471539*m.x2823) + 0.434294481903252*log(1 +
535508.525935268*m.x2824) + 0.434294481903252*log(1 + 10665.710701586*m.x2825) +
0.434294481903252*log(1 + 92343.8119126466*m.x2826) + 0.434294481903252*log(1 + 208281.264738953
*m.x2827) + 0.434294481903252*log(1 + 164592.456502292*m.x2828) + 0.434294481903252*log(1 +
822068.756527917*m.x2829) + 0.434294481903252*log(1 + 250902.443342594*m.x2830) +
0.434294481903252*log(1 + 80290.3299099562*m.x2831) + 0.434294481903252*log(1 + 72946.4102121022
*m.x2832) + 0.434294481903252*log(1 + 18286.428182422*m.x2833) + 0.434294481903252*log(1 +
22077.7314339429*m.x2834) + 0.434294481903252*log(1 + 382.14859662873*m.x2835) +
0.434294481903252*log(1 + 202457.65966952*m.x2836) + 0.434294481903252*log(1 + 173613.033549638*
m.x2837) + 0.434294481903252*log(1 + 59601.8865907926*m.x2838) + 0.434294481903252*log(1 +
75592.3976647284*m.x2839) + 0.434294481903252*log(1 + 41444.2023158196*m.x2840) +
0.434294481903252*log(1 + 77764.3092323783*m.x2841) + 0.434294481903252*log(1 + 116873.499976211
*m.x2842) + 0.434294481903252*log(1 + 665814.280747214*m.x2843) + 0.434294481903252*log(1 +
309801.684051746*m.x2844) + 0.434294481903252*log(1 + 84003.2472903314*m.x2845) +
0.434294481903252*log(1 + 417206.267809332*m.x2846) + 0.434294481903252*log(1 + 824605.316370735
*m.x2847) + 0.434294481903252*log(1 + 27806.7462681524*m.x2848) + 0.434294481903252*log(1 +
49822.6820243827*m.x2849) + 0.434294481903252*log(1 + 500981.842078106*m.x2850) +
0.434294481903252*log(1 + 81042.8869442811*m.x2851) + 0.434294481903252*log(1 + 57456.1528019387
*m.x2852) + 0.434294481903252*log(1 + 123843.169912822*m.x2853) + 0.434294481903252*log(1 +
545888.321272684*m.x2854) + 0.434294481903252*log(1 + 355193.012017175*m.x2855) +
0.434294481903252*log(1 + 43198.2992950355*m.x2856) + 0.434294481903252*log(1 + 385733.943315301
*m.x2857) + 0.434294481903252*log(1 + 27733.7911811804*m.x2858) + 0.434294481903252*log(1 +
132143.368392514*m.x2859) + 0.434294481903252*log(1 + 714794.401563982*m.x2860) +
0.434294481903252*log(1 + 138032.053813804*m.x2861) + 0.434294481903252*log(1 + 603412.514933511
*m.x2862) + 0.434294481903252*log(1 + 324752.183861905*m.x2863) + 0.434294481903252*log(1 +
150906.850571571*m.x2864) + 0.434294481903252*log(1 + 133117.37667819*m.x2865) +
0.434294481903252*log(1 + 282760.45328616*m.x2866) + 0.434294481903252*log(1 + 274187.115684062*
m.x2867) + 0.434294481903252*log(1 + 49283.6960055476*m.x2868) + 0.434294481903252*log(1 +
352084.177625663*m.x2869) + 0.434294481903252*log(1 + 395366.802958047*m.x2870) +
0.434294481903252*log(1 + 94491.8155889039*m.x2871) + 0.434294481903252*log(1 + 889042.071750808
*m.x2872) + 0.434294481903252*log(1 + 221774.58085847*m.x2873) + 0.434294481903252*log(1 +
10520.3829066665*m.x2874) + 0.434294481903252*log(1 + 341557.82676441*m.x2875) +
0.434294481903252*log(1 + 6417.98408007412*m.x2876) + 0.434294481903252*log(1 + 88963.8997359288
*m.x2877) + 0.434294481903252*log(1 + 27530.4614411581*m.x2878) + 0.434294481903252*log(1 +
68474.6213149699*m.x2879) + 0.434294481903252*log(1 + 211858.422580226*m.x2880) +
0.434294481903252*log(1 + 472765.448741286*m.x2881) + 0.434294481903252*log(1 + 4700.77595866071
*m.x2882) + 0.434294481903252*log(1 + 176725.657077515*m.x2883) + 0.434294481903252*log(1 +
28952.1487807376*m.x2884) + 0.434294481903252*log(1 + 1786653.7849845*m.x2885) +
0.434294481903252*log(1 + 26846.0391789491*m.x2886) + 0.434294481903252*log(1 + 153737.714172163
*m.x2887) + 0.434294481903252*log(1 + 83236.7289453122*m.x2888) + 0.434294481903252*log(1 +
1377369.14183994*m.x2889) + 0.434294481903252*log(1 + 185127.15294154*m.x2890) +
0.434294481903252*log(1 + 18793.8044902648*m.x2891) + 0.434294481903252*log(1 + 39127.496823418*
m.x2892) + 0.434294481903252*log(1 + 3844218.92842541*m.x2893) + 0.434294481903252*log(1 +
674391.696711789*m.x2894) + 0.434294481903252*log(1 + 110953.150097786*m.x2895) +
0.434294481903252*log(1 + 623528.661429016*m.x2896) + 0.434294481903252*log(1 + 61176.180433679*
m.x2897) + 0.434294481903252*log(1 + 81404.6680394227*m.x2898) + 0.434294481903252*log(1 +
348427.342733275*m.x2899) + 0.434294481903252*log(1 + 484110.852828756*m.x2900) +
0.434294481903252*log(1 + 497793.972491808*m.x2901) + 0.434294481903252*log(1 + 66452.7693741254
*m.x2902) + 0.434294481903252*log(1 + 124864.508568708*m.x2903) + 0.434294481903252*log(1 +
31986.4667640848*m.x2904) + 0.434294481903252*log(1 + 19514.0724917737*m.x2905) +
0.434294481903252*log(1 + 356909.689100181*m.x2906) + 0.434294481903252*log(1 + 121518.365473318
*m.x2907) + 0.434294481903252*log(1 + 27268.342024951*m.x2908) + 0.434294481903252*log(1 +
226202.424267342*m.x2909) + 0.434294481903252*log(1 + 72719.1984901939*m.x2910) +
0.434294481903252*log(1 + 2948593.67958428*m.x2911) + 0.434294481903252*log(1 + 461491.442260071
*m.x2912) + 0.434294481903252*log(1 + 118274.574237657*m.x2913) + 0.434294481903252*log(1 +
2727252.20101762*m.x2914) + 0.434294481903252*log(1 + 158432.086768717*m.x2915) +
0.434294481903252*log(1 + 54356.4970954898*m.x2916) + 0.434294481903252*log(1 + 224932.264922018
*m.x2917) + 0.434294481903252*log(1 + 679875.424507976*m.x2918) + 0.434294481903252*log(1 +
52187.0131774279*m.x2919) + 0.434294481903252*log(1 + 76620.7956727285*m.x2920) +
0.434294481903252*log(1 + 18736.6098653525*m.x2921) + 0.434294481903252*log(1 + 202005.136263659
*m.x2922) + 0.434294481903252*log(1 + 217453.072915785*m.x2923) + 0.434294481903252*log(1 +
450.12689610136*m.x2924) + 0.434294481903252*log(1 + 1232575.93033705*m.x2925) +
0.434294481903252*log(1 + 179817.236768535*m.x2926) + 0.434294481903252*log(1 + 899528.764510352
*m.x2927) + 0.434294481903252*log(1 + 6023.94160784727*m.x2928) + 0.434294481903252*log(1 +
457630.803261599*m.x2929) + 0.434294481903252*log(1 + 951026.337320394*m.x2930) +
0.434294481903252*log(1 + 2501904.31867467*m.x2931) + 0.434294481903252*log(1 + 117397.565413988
*m.x2932) + 0.434294481903252*log(1 + 262108.541881598*m.x2933) + 0.434294481903252*log(1 +
111002.797997961*m.x2934) + 0.434294481903252*log(1 + 129137.862731217*m.x2935) +
0.434294481903252*log(1 + 22004.9822975039*m.x2936) + 0.434294481903252*log(1 + 475904.959707362
*m.x2937) + 0.434294481903252*log(1 + 133946.631780751*m.x2938) + 0.434294481903252*log(1 +
33978.2318721139*m.x2939) + 0.434294481903252*log(1 + 322940.639756069*m.x2940) +
0.434294481903252*log(1 + 507506.751020756*m.x2941) + 0.434294481903252*log(1 + 75889.5327080039
*m.x2942) + 0.434294481903252*log(1 + 268784.056884366*m.x2943) + 0.434294481903252*log(1 +
380262.460109464*m.x2944) + 0.434294481903252*log(1 + 332812.491931714*m.x2945) +
0.434294481903252*log(1 + 37349.5019675459*m.x2946) + 0.434294481903252*log(1 + 195947.380298666
*m.x2947) + 0.434294481903252*log(1 + 37384.9769215646*m.x2948) + 0.434294481903252*log(1 +
604451.365097682*m.x2949) + 0.434294481903252*log(1 + 3432.78393742259*m.x2950) +
0.434294481903252*log(1 + 62167.1763370347*m.x2951) + 0.434294481903252*log(1 + 20529.9233343216
*m.x2952) + 0.434294481903252*log(1 + 4924.05154574118*m.x2953) + 0.434294481903252*log(1 +
32759.1132787046*m.x2954) + 0.434294481903252*log(1 + 61261.9318721469*m.x2955) +
0.434294481903252*log(1 + 79104.917947649*m.x2956) + 0.434294481903252*log(1 + 15694.0152055683*
m.x2957) + 0.434294481903252*log(1 + 33183.0075409537*m.x2958) + 0.434294481903252*log(1 +
63597.2863078673*m.x2959) + 0.434294481903252*log(1 + 7382.16682200861*m.x2960) +
0.434294481903252*log(1 + 205728.792337839*m.x2961) + 0.434294481903252*log(1 + 147207.211236491
*m.x2962) + 0.434294481903252*log(1 + 9922.45824112651*m.x2963) + 0.434294481903252*log(1 +
316426.534676143*m.x2964) + 0.434294481903252*log(1 + 174662.364351251*m.x2965) +
0.434294481903252*log(1 + 88359.5573914782*m.x2966) + 0.434294481903252*log(1 + 77455.7599692182
*m.x2967) + 0.434294481903252*log(1 + 497560.210922803*m.x2968) + 0.434294481903252*log(1 +
236293.918340165*m.x2969) + 0.434294481903252*log(1 + 10188.9407623595*m.x2970) +
0.434294481903252*log(1 + 81559.7682725918*m.x2971) + 0.434294481903252*log(1 + 48032.4286066374
*m.x2972) + 0.434294481903252*log(1 + 3047.33420441487*m.x2973) + 0.434294481903252*log(1 +
55557.7735337674*m.x2974) + 0.434294481903252*log(1 + 120022.518278062*m.x2975) +
0.434294481903252*log(1 + 58183.414007413*m.x2976) + 0.434294481903252*log(1 + 5433.9476026676*
m.x2977) + 0.434294481903252*log(1 + 14867.0382248751*m.x2978) + 0.434294481903252*log(1 +
78675.4983934896*m.x2979) + 0.434294481903252*log(1 + 87038.9979047136*m.x2980) +
0.434294481903252*log(1 + 231548.337708546*m.x2981) + 0.434294481903252*log(1 + 214649.026119362
*m.x2982) + 0.434294481903252*log(1 + 574368.734777849*m.x2983) + 0.434294481903252*log(1 +
73521.7957908681*m.x2984) + 0.434294481903252*log(1 + 331381.787425063*m.x2985) +
0.434294481903252*log(1 + 108325.881131053*m.x2986) + 0.434294481903252*log(1 + 435203.948440413
*m.x2987) + 0.434294481903252*log(1 + 1618.22837726137*m.x2988) + 0.434294481903252*log(1 +
169011.369859177*m.x2989) + 0.434294481903252*log(1 + 16156.5378843764*m.x2990) +
0.434294481903252*log(1 + 226675.000708686*m.x2991) + 0.434294481903252*log(1 + 4022.33090945432
*m.x2992) + 0.434294481903252*log(1 + 363166.299622328*m.x2993) + 0.434294481903252*log(1 +
215093.079274827*m.x2994) + 0.434294481903252*log(1 + 228881.091513859*m.x2995) +
0.434294481903252*log(1 + 4600.71533435932*m.x2996) + 0.434294481903252*log(1 + 22148.1094398938
*m.x2997) + 0.434294481903252*log(1 + 327716.306876444*m.x2998) + 0.434294481903252*log(1 +
19898.0798730249*m.x2999) + 0.434294481903252*log(1 + 469780.222242701*m.x3000) >= 7.5257498916)
m.c16 = Constraint(expr=0.434294481903252*log(1 + 9.16836001760793*m.b1) + 0.434294481903252*log(1 + 5.65861161828534*
m.b2) + 0.434294481903252*log(1 + 20.8063196903302*m.b3) + 0.434294481903252*log(1 +
20.4709986637469*m.b4) + 0.434294481903252*log(1 + 2.21611411653896*m.b5) + 0.434294481903252*
log(1 + 9.18388059399205*m.b6) + 0.434294481903252*log(1 + 1.65305728680539*m.b7) +
0.434294481903252*log(1 + 1.86597126246665*m.b8) + 0.434294481903252*log(1 + 21.8282227884879*
m.b9) + 0.434294481903252*log(1 + 120.90351688972*m.b10) + 0.434294481903252*log(1 +
0.571126998864567*m.b11) + 0.434294481903252*log(1 + 5.52274713876865*m.b12) + 0.434294481903252
*log(1 + 29.0492064898731*m.b13) + 0.434294481903252*log(1 + 1.80523280964429*m.b14) +
0.434294481903252*log(1 + 70.7102218108141*m.b15) + 0.434294481903252*log(1 + 2.77229473321474*
m.b16) + 0.434294481903252*log(1 + 2.62742141015012*m.b17) + 0.434294481903252*log(1 +
0.557931946510844*m.b18) + 0.434294481903252*log(1 + 11.7928223405867*m.b19) + 0.434294481903252
*log(1 + 1.10148025582178*m.b20) + 0.434294481903252*log(1 + 1.11744241620756*m.b21) +
0.434294481903252*log(1 + 8.60594685894546*m.b22) + 0.434294481903252*log(1 + 4.78148898334489*
m.b23) + 0.434294481903252*log(1 + 8.75762101884387*m.b24) + 0.434294481903252*log(1 +
1.18469961987925*m.b25) + 0.434294481903252*log(1 + 97.517996822859*m.b26) + 0.434294481903252*
log(1 + 11.0232145770963*m.b27) + 0.434294481903252*log(1 + 18.5356142919165*m.b28) +
0.434294481903252*log(1 + 55.4784473821084*m.b29) + 0.434294481903252*log(1 + 5.89613005091303*
m.b30) + 0.434294481903252*log(1 + 17.7085932539211*m.b31) + 0.434294481903252*log(1 +
34.6819075609583*m.b32) + 0.434294481903252*log(1 + 38.8336558773729*m.b33) + 0.434294481903252*
log(1 + 31.2317085512001*m.b34) + 0.434294481903252*log(1 + 89.5718609569744*m.b35) +
0.434294481903252*log(1 + 450.470611793137*m.b36) + 0.434294481903252*log(1 + 50.2928782912729*
m.b37) + 0.434294481903252*log(1 + 16.8408786885658*m.b38) + 0.434294481903252*log(1 +
11.2863838874973*m.b39) + 0.434294481903252*log(1 + 2.52156571860108*m.b40) + 0.434294481903252*
log(1 + 944.517028240454*m.b41) + 0.434294481903252*log(1 + 6.08252279702771*m.b42) +
0.434294481903252*log(1 + 15.6713700472475*m.b43) + 0.434294481903252*log(1 + 366.904238166436*
m.b44) + 0.434294481903252*log(1 + 12.2693713397371*m.b45) + 0.434294481903252*log(1 +
47.5314383909332*m.b46) + 0.434294481903252*log(1 + 71.0872880934445*m.b47) + 0.434294481903252*
log(1 + 89.6533395694038*m.b48) + 0.434294481903252*log(1 + 2.24196402442001*m.b49) +
0.434294481903252*log(1 + 1.40866793817763*m.b50) + 0.434294481903252*log(1 + 329.422284961993*
m.b51) + 0.434294481903252*log(1 + 17.4758528765879*m.b52) + 0.434294481903252*log(1 +
1.5898644389032*m.b53) + 0.434294481903252*log(1 + 4.03958448999237*m.b54) + 0.434294481903252*
log(1 + 17.5838994162666*m.b55) + 0.434294481903252*log(1 + 82.9492691552225*m.b56) +
0.434294481903252*log(1 + 63.9477926852567*m.b57) + 0.434294481903252*log(1 + 42.4838310870781*
m.b58) + 0.434294481903252*log(1 + 14.2860018113587*m.b59) + 0.434294481903252*log(1 +
287.481852907796*m.b60) + 0.434294481903252*log(1 + 7.14380217979486*m.b61) + 0.434294481903252*
log(1 + 29.6235267654604*m.b62) + 0.434294481903252*log(1 + 13.5912746897934*m.b63) +
0.434294481903252*log(1 + 113.657979712517*m.b64) + 0.434294481903252*log(1 + 3.19799003467221*
m.b65) + 0.434294481903252*log(1 + 7.44089104983786*m.b66) + 0.434294481903252*log(1 +
14.9549559720999*m.b67) + 0.434294481903252*log(1 + 29.4996248289425*m.b68) + 0.434294481903252*
log(1 + 11.0153640414638*m.b69) + 0.434294481903252*log(1 + 194.79326648098*m.b70) +
0.434294481903252*log(1 + 27.2127707922313*m.b71) + 0.434294481903252*log(1 + 10.2280146175521*
m.b72) + 0.434294481903252*log(1 + 6.20637128347102*m.b73) + 0.434294481903252*log(1 +
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log(1 + 10.0414512585476*m.b76) + 0.434294481903252*log(1 + 1.49719331011498*m.b77) +
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log(1 + 1.86338811788459*m.b83) + 0.434294481903252*log(1 + 11.0920839186506*m.b84) +
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log(1 + 137.700220835333*m.b97) + 0.434294481903252*log(1 + 9.31442624891609*m.b98) +
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m.b179) + 0.434294481903252*log(1 + 15.4296762703967*m.b180) + 0.434294481903252*log(1 +
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m.b189) + 0.434294481903252*log(1 + 7.56012473903831*m.b190) + 0.434294481903252*log(1 +
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*log(1 + 88.0185506091582*m.b193) + 0.434294481903252*log(1 + 54.0852348155944*m.b194) +
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*m.b196) + 0.434294481903252*log(1 + 17.9743700869186*m.b197) + 0.434294481903252*log(1 +
3.87636862471878*m.b198) + 0.434294481903252*log(1 + 1.76749854541305*m.b199) +
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m.b201) + 0.434294481903252*log(1 + 49.094915321845*m.b202) + 0.434294481903252*log(1 +
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*log(1 + 10.7838059074415*m.b210) + 0.434294481903252*log(1 + 8.17207631038237*m.b211) +
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m.b228) + 0.434294481903252*log(1 + 15.4075087582294*m.b229) + 0.434294481903252*log(1 +
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0.434294481903252*log(1 + 950.268343882408*m.b232) + 0.434294481903252*log(1 + 14.0146427448639*
m.b233) + 0.434294481903252*log(1 + 48.2622840339531*m.b234) + 0.434294481903252*log(1 +
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0.434294481903252*log(1 + 18.2609404559526*m.b237) + 0.434294481903252*log(1 + 1.36243976696537*
m.b238) + 0.434294481903252*log(1 + 0.232175441240096*m.b239) + 0.434294481903252*log(1 +
22.7465002276522*m.b240) + 0.434294481903252*log(1 + 83.6440577246705*m.b241) +
0.434294481903252*log(1 + 50.9139424902747*m.b242) + 0.434294481903252*log(1 + 23.5442813006769*
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0.434294481903252*log(1 + 6.04549274129207*m.b252) + 0.434294481903252*log(1 + 2.31626375880436*
m.b253) + 0.434294481903252*log(1 + 6.52660928676575*m.b254) + 0.434294481903252*log(1 +
14.8597407839452*m.b255) + 0.434294481903252*log(1 + 2.06041038208614*m.b256) +
0.434294481903252*log(1 + 8.01305312437427*m.b257) + 0.434294481903252*log(1 + 27.0821161178967*
m.b258) + 0.434294481903252*log(1 + 17.286050889689*m.b259) + 0.434294481903252*log(1 +
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0.434294481903252*log(1 + 39.2370070576682*m.b262) + 0.434294481903252*log(1 + 6.57948746685798*
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0.434294481903252*log(1 + 18.4387536778241*m.b267) + 0.434294481903252*log(1 + 1.23850039518286*
m.b268) + 0.434294481903252*log(1 + 13.8120242692985*m.b269) + 0.434294481903252*log(1 +
10.1954634111504*m.b270) + 0.434294481903252*log(1 + 7.56234635429108*m.b271) +
0.434294481903252*log(1 + 34.8893314937733*m.b272) + 0.434294481903252*log(1 + 196.710087319055*
m.b273) + 0.434294481903252*log(1 + 9.38601247234896*m.b274) + 0.434294481903252*log(1 +
41.5035857373984*m.b275) + 0.434294481903252*log(1 + 24.1805281587732*m.b276) +
0.434294481903252*log(1 + 26.6821060260029*m.b277) + 0.434294481903252*log(1 + 114.239042949201*
m.b278) + 0.434294481903252*log(1 + 18.2075092669915*m.b279) + 0.434294481903252*log(1 +
41.5332876490466*m.b280) + 0.434294481903252*log(1 + 0.291813745783498*m.b281) +
0.434294481903252*log(1 + 0.634485242653686*m.b282) + 0.434294481903252*log(1 +
0.760462798273029*m.b283) + 0.434294481903252*log(1 + 3.73230574215145*m.b284) +
0.434294481903252*log(1 + 0.762622521522688*m.b285) + 0.434294481903252*log(1 + 5.8002705369568*
m.b286) + 0.434294481903252*log(1 + 6.90616002336022*m.b287) + 0.434294481903252*log(1 +
6.50428287469064*m.b288) + 0.434294481903252*log(1 + 3.55966086154444*m.b289) +
0.434294481903252*log(1 + 1.37501346145747*m.b290) + 0.434294481903252*log(1 + 15.4938201473979*
m.b291) + 0.434294481903252*log(1 + 38.5780232568333*m.b292) + 0.434294481903252*log(1 +
28.2423330516121*m.b293) + 0.434294481903252*log(1 + 108.0536833147*m.b294) + 0.434294481903252*
log(1 + 257.365063164696*m.b295) + 0.434294481903252*log(1 + 5.68315276161109*m.b296) +
0.434294481903252*log(1 + 7.11304478986188*m.b297) + 0.434294481903252*log(1 + 2.87393866273881*
m.b298) + 0.434294481903252*log(1 + 23.9190034854088*m.b299) + 0.434294481903252*log(1 +
16.9664070831965*m.b300) >= 7.5257498916)
m.c17 = Constraint(expr=0.434294481903252*log(1 + 6471.47630366129*m.b301) + 0.434294481903252*log(1 + 559.470088916934*
m.b302) + 0.434294481903252*log(1 + 131.065353224642*m.b303) + 0.434294481903252*log(1 +
4527.58508947219*m.b304) + 0.434294481903252*log(1 + 725.556936560107*m.b305) +
0.434294481903252*log(1 + 6197.68478678289*m.b306) + 0.434294481903252*log(1 + 28948.2986841625*
m.b307) + 0.434294481903252*log(1 + 2018.19943806769*m.b308) + 0.434294481903252*log(1 +
19641.6479462097*m.b309) + 0.434294481903252*log(1 + 26951.9823247315*m.b310) +
0.434294481903252*log(1 + 21654.0074744564*m.b311) + 0.434294481903252*log(1 + 187272.254701162*
m.b312) + 0.434294481903252*log(1 + 347.080398901013*m.b313) + 0.434294481903252*log(1 +
7548.98180619965*m.b314) + 0.434294481903252*log(1 + 35619.0970308209*m.b315) +
0.434294481903252*log(1 + 565.828950547017*m.b316) + 0.434294481903252*log(1 + 691.980736513294*
m.b317) + 0.434294481903252*log(1 + 90.2881193419812*m.b318) + 0.434294481903252*log(1 +
66.455792864316*m.b319) + 0.434294481903252*log(1 + 917.323181769107*m.b320) + 0.434294481903252
*log(1 + 317.548275464461*m.b321) + 0.434294481903252*log(1 + 2353.48851009575*m.b322) +
0.434294481903252*log(1 + 944.33833646317*m.b323) + 0.434294481903252*log(1 + 593.441522643409*
m.b324) + 0.434294481903252*log(1 + 14364.0803160569*m.b325) + 0.434294481903252*log(1 +
569.56959569268*m.b326) + 0.434294481903252*log(1 + 468.065906499702*m.b327) + 0.434294481903252
*log(1 + 283.323473459373*m.b328) + 0.434294481903252*log(1 + 2453.12359348963*m.b329) +
0.434294481903252*log(1 + 130.053864019821*m.b330) + 0.434294481903252*log(1 + 504.824501007987*
m.b331) + 0.434294481903252*log(1 + 864.389638743978*m.b332) + 0.434294481903252*log(1 +
5358.57000009405*m.b333) + 0.434294481903252*log(1 + 536.813092655462*m.b334) +
0.434294481903252*log(1 + 2090.62622832526*m.b335) + 0.434294481903252*log(1 + 949.053088497376*
m.b336) + 0.434294481903252*log(1 + 7662.54885913674*m.b337) + 0.434294481903252*log(1 +
1278.90348751647*m.b338) + 0.434294481903252*log(1 + 199.937538875581*m.b339) +
0.434294481903252*log(1 + 316.14891683603*m.b340) + 0.434294481903252*log(1 + 10157.7856529245*
m.b341) + 0.434294481903252*log(1 + 2047.95141639884*m.b342) + 0.434294481903252*log(1 +
1162.63096049805*m.b343) + 0.434294481903252*log(1 + 11619.1092674715*m.b344) +
0.434294481903252*log(1 + 41350.5410959091*m.b345) + 0.434294481903252*log(1 + 3752.26117044855*
m.b346) + 0.434294481903252*log(1 + 44.4989485679777*m.b347) + 0.434294481903252*log(1 +
686.691887671087*m.b348) + 0.434294481903252*log(1 + 1437.9826588788*m.b349) + 0.434294481903252
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m.b588) + 0.434294481903252*log(1 + 82.4845851910256*m.b589) + 0.434294481903252*log(1 +
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m.b593) + 0.434294481903252*log(1 + 1884.74297582731*m.b594) + 0.434294481903252*log(1 +
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61712.3783763179*m.b600) >= 7.5257498916)
m.c18 = Constraint(expr=0.434294481903252*log(1 + 474.854729801177*m.b601) + 0.434294481903252*log(1 + 9384.33344740377*
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0.434294481903252*log(1 + 534.301142070618*m.b883) + 0.434294481903252*log(1 + 490.81079890408*
m.b884) + 0.434294481903252*log(1 + 2493.73932305965*m.b885) + 0.434294481903252*log(1 +
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0.434294481903252*log(1 + 653.557055358706*m.b888) + 0.434294481903252*log(1 + 2913.68110946623*
m.b889) + 0.434294481903252*log(1 + 649.036416492713*m.b890) + 0.434294481903252*log(1 +
18373.2727800306*m.b891) + 0.434294481903252*log(1 + 1714.6361827573*m.b892) + 0.434294481903252
*log(1 + 3078.56493581244*m.b893) + 0.434294481903252*log(1 + 11809.7230910018*m.b894) +
0.434294481903252*log(1 + 140.689683089354*m.b895) + 0.434294481903252*log(1 + 1095.9619165328*
m.b896) + 0.434294481903252*log(1 + 5355.43110239306*m.b897) + 0.434294481903252*log(1 +
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m.c19 = Constraint(expr=0.434294481903252*log(1 + 18.5216735050903*m.b901) + 0.434294481903252*log(1 + 12.7302326156759*
m.b902) + 0.434294481903252*log(1 + 164.532042903714*m.b903) + 0.434294481903252*log(1 +
71.2298814973555*m.b904) + 0.434294481903252*log(1 + 34.5327149327825*m.b905) +
0.434294481903252*log(1 + 74.1071396904431*m.b906) + 0.434294481903252*log(1 + 131.763121107657*
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0.434294481903252*log(1 + 42.8017077888648*m.b1185) + 0.434294481903252*log(1 + 50.4448790988176
*m.b1186) + 0.434294481903252*log(1 + 504.98964176949*m.b1187) + 0.434294481903252*log(1 +
231.586030311189*m.b1188) + 0.434294481903252*log(1 + 7.35780946341765*m.b1189) +
0.434294481903252*log(1 + 1172.55023174623*m.b1190) + 0.434294481903252*log(1 + 80.2472482013718
*m.b1191) + 0.434294481903252*log(1 + 41.4784303799513*m.b1192) + 0.434294481903252*log(1 +
15.8320210910596*m.b1193) + 0.434294481903252*log(1 + 9.3660089963147*m.b1194) +
0.434294481903252*log(1 + 6.41230507881977*m.b1195) + 0.434294481903252*log(1 + 8.47860623325901
*m.b1196) + 0.434294481903252*log(1 + 111.062766283481*m.b1197) + 0.434294481903252*log(1 +
20.8941509099048*m.b1198) + 0.434294481903252*log(1 + 48.7412307871548*m.b1199) +
0.434294481903252*log(1 + 76.0123942331282*m.b1200) >= 7.5257498916)
m.c20 = Constraint(expr=0.434294481903252*log(1 + 5741361.00455615*m.b1201) + 0.434294481903252*log(1 + 30666673.972251*
m.b1202) + 0.434294481903252*log(1 + 26434268.6422037*m.b1203) + 0.434294481903252*log(1 +
16210401.8681055*m.b1204) + 0.434294481903252*log(1 + 1228079.67663101*m.b1205) +
0.434294481903252*log(1 + 2852611.66646854*m.b1206) + 0.434294481903252*log(1 + 6267909.16385327
*m.b1207) + 0.434294481903252*log(1 + 38342999.9369037*m.b1208) + 0.434294481903252*log(1 +
1968636.61919983*m.b1209) + 0.434294481903252*log(1 + 6039591.70046157*m.b1210) +
0.434294481903252*log(1 + 10050225.8785206*m.b1211) + 0.434294481903252*log(1 + 646219.103339704
*m.b1212) + 0.434294481903252*log(1 + 10179903.559401*m.b1213) + 0.434294481903252*log(1 +
1074792.65546124*m.b1214) + 0.434294481903252*log(1 + 1944627.72772779*m.b1215) +
0.434294481903252*log(1 + 5235752.9201632*m.b1216) + 0.434294481903252*log(1 + 12160268.4957793*
m.b1217) + 0.434294481903252*log(1 + 2060417.14111112*m.b1218) + 0.434294481903252*log(1 +
8486598.30660643*m.b1219) + 0.434294481903252*log(1 + 360579.038814826*m.b1220) +
0.434294481903252*log(1 + 178221.211154808*m.b1221) + 0.434294481903252*log(1 + 3725609.65935327
*m.b1222) + 0.434294481903252*log(1 + 5705187.35884474*m.b1223) + 0.434294481903252*log(1 +
3522245.84881868*m.b1224) + 0.434294481903252*log(1 + 27906283.9182537*m.b1225) +
0.434294481903252*log(1 + 40463639.6512338*m.b1226) + 0.434294481903252*log(1 + 1482287.86866932
*m.b1227) + 0.434294481903252*log(1 + 2927971.26866411*m.b1228) + 0.434294481903252*log(1 +
65723920.845703*m.b1229) + 0.434294481903252*log(1 + 5588189.63065066*m.b1230) +
0.434294481903252*log(1 + 1748991.06644911*m.b1231) + 0.434294481903252*log(1 + 9000805.09576512
*m.b1232) + 0.434294481903252*log(1 + 16128647.9581714*m.b1233) + 0.434294481903252*log(1 +
7183829.87567121*m.b1234) + 0.434294481903252*log(1 + 120903138.216695*m.b1235) +
0.434294481903252*log(1 + 14874426.417997*m.b1236) + 0.434294481903252*log(1 + 9194743.14920182*
m.b1237) + 0.434294481903252*log(1 + 19279068.9010088*m.b1238) + 0.434294481903252*log(1 +
8946107.89370736*m.b1239) + 0.434294481903252*log(1 + 32781.5282667201*m.b1240) +
0.434294481903252*log(1 + 2622512.21405376*m.b1241) + 0.434294481903252*log(1 + 10518422.6287911
*m.b1242) + 0.434294481903252*log(1 + 1050392.03714749*m.b1243) + 0.434294481903252*log(1 +
50745051.1903338*m.b1244) + 0.434294481903252*log(1 + 39238766.2753701*m.b1245) +
0.434294481903252*log(1 + 16591870.7074857*m.b1246) + 0.434294481903252*log(1 + 63028619.1537904
*m.b1247) + 0.434294481903252*log(1 + 3763960.61249999*m.b1248) + 0.434294481903252*log(1 +
3192413.05331355*m.b1249) + 0.434294481903252*log(1 + 378228.221086039*m.b1250) +
0.434294481903252*log(1 + 252115.538648975*m.b1251) + 0.434294481903252*log(1 + 11506269.4015059
*m.b1252) + 0.434294481903252*log(1 + 5542240.79499179*m.b1253) + 0.434294481903252*log(1 +
11096551.0695792*m.b1254) + 0.434294481903252*log(1 + 20779738.245543*m.b1255) +
0.434294481903252*log(1 + 7237220.80614609*m.b1256) + 0.434294481903252*log(1 + 13908849.7915762
*m.b1257) + 0.434294481903252*log(1 + 10770247.9481866*m.b1258) + 0.434294481903252*log(1 +
23407443.5496588*m.b1259) + 0.434294481903252*log(1 + 250988244.101018*m.b1260) +
0.434294481903252*log(1 + 16080551.4539426*m.b1261) + 0.434294481903252*log(1 + 3476328.55023015
*m.b1262) + 0.434294481903252*log(1 + 36635653.9336745*m.b1263) + 0.434294481903252*log(1 +
14697956.7700756*m.b1264) + 0.434294481903252*log(1 + 1932199.61275307*m.b1265) +
0.434294481903252*log(1 + 2837605.76840181*m.b1266) + 0.434294481903252*log(1 + 6522680.40181813
*m.b1267) + 0.434294481903252*log(1 + 1047611.04316407*m.b1268) + 0.434294481903252*log(1 +
454118.713549096*m.b1269) + 0.434294481903252*log(1 + 270006.960237137*m.b1270) +
0.434294481903252*log(1 + 2491114.27600732*m.b1271) + 0.434294481903252*log(1 + 7912015.61227719
*m.b1272) + 0.434294481903252*log(1 + 7857538.55904687*m.b1273) + 0.434294481903252*log(1 +
432465.420372561*m.b1274) + 0.434294481903252*log(1 + 92444806.8086106*m.b1275) +
0.434294481903252*log(1 + 13747658.5651117*m.b1276) + 0.434294481903252*log(1 + 1421076.33405637
*m.b1277) + 0.434294481903252*log(1 + 13174825.9224686*m.b1278) + 0.434294481903252*log(1 +
8809258.91497837*m.b1279) + 0.434294481903252*log(1 + 486808.688009773*m.b1280) +
0.434294481903252*log(1 + 10509661.8562756*m.b1281) + 0.434294481903252*log(1 + 3628562.65764757
*m.b1282) + 0.434294481903252*log(1 + 4721863.4632286*m.b1283) + 0.434294481903252*log(1 +
9284141.82937093*m.b1284) + 0.434294481903252*log(1 + 2748636.36161015*m.b1285) +
0.434294481903252*log(1 + 1704021.9490671*m.b1286) + 0.434294481903252*log(1 + 9979094.31969331*
m.b1287) + 0.434294481903252*log(1 + 827828.607310858*m.b1288) + 0.434294481903252*log(1 +
19343520.6903752*m.b1289) + 0.434294481903252*log(1 + 16375072.8559705*m.b1290) +
0.434294481903252*log(1 + 45228589.9911696*m.b1291) + 0.434294481903252*log(1 + 1161837.48383048
*m.b1292) + 0.434294481903252*log(1 + 2724879.72260354*m.b1293) + 0.434294481903252*log(1 +
851883.922170462*m.b1294) + 0.434294481903252*log(1 + 21958627.830814*m.b1295) +
0.434294481903252*log(1 + 1698118.71812642*m.b1296) + 0.434294481903252*log(1 + 1014765.80391337
*m.b1297) + 0.434294481903252*log(1 + 8232941.88772552*m.b1298) + 0.434294481903252*log(1 +
55779266.1720798*m.b1299) + 0.434294481903252*log(1 + 84060545.4766437*m.b1300) +
0.434294481903252*log(1 + 2252506.45466829*m.b1301) + 0.434294481903252*log(1 + 4529202.97673038
*m.b1302) + 0.434294481903252*log(1 + 6891016.05468982*m.b1303) + 0.434294481903252*log(1 +
23283435.0368154*m.b1304) + 0.434294481903252*log(1 + 29610552.5963631*m.b1305) +
0.434294481903252*log(1 + 5287283.04511527*m.b1306) + 0.434294481903252*log(1 + 20752865.2154781
*m.b1307) + 0.434294481903252*log(1 + 38981007.264687*m.b1308) + 0.434294481903252*log(1 +
6448651.64733285*m.b1309) + 0.434294481903252*log(1 + 15962422.8246569*m.b1310) +
0.434294481903252*log(1 + 5643666.77348059*m.b1311) + 0.434294481903252*log(1 + 3069850.41302474
*m.b1312) + 0.434294481903252*log(1 + 1647291.00034716*m.b1313) + 0.434294481903252*log(1 +
9074820.6347073*m.b1314) + 0.434294481903252*log(1 + 1927900.78283425*m.b1315) +
0.434294481903252*log(1 + 88257716.7100858*m.b1316) + 0.434294481903252*log(1 + 4879195.25514764
*m.b1317) + 0.434294481903252*log(1 + 18813815.8795342*m.b1318) + 0.434294481903252*log(1 +
3606384.93022914*m.b1319) + 0.434294481903252*log(1 + 15438094.1182332*m.b1320) +
0.434294481903252*log(1 + 6180590.04491154*m.b1321) + 0.434294481903252*log(1 + 43473903.3146474
*m.b1322) + 0.434294481903252*log(1 + 1044762.53162192*m.b1323) + 0.434294481903252*log(1 +
24097883.6670871*m.b1324) + 0.434294481903252*log(1 + 479956.981571371*m.b1325) +
0.434294481903252*log(1 + 4155471.5360691*m.b1326) + 0.434294481903252*log(1 + 9372656.91325289*
m.b1327) + 0.434294481903252*log(1 + 7406660.54260315*m.b1328) + 0.434294481903252*log(1 +
36993094.0437563*m.b1329) + 0.434294481903252*log(1 + 11290609.9445567*m.b1330) +
0.434294481903252*log(1 + 3613064.83426315*m.b1331) + 0.434294481903252*log(1 + 3282588.4595446*
m.b1332) + 0.434294481903252*log(1 + 822889.268208992*m.b1333) + 0.434294481903252*log(1 +
993497.913746645*m.b1334) + 0.434294481903252*log(1 + 17196.6868482929*m.b1335) +
0.434294481903252*log(1 + 9110594.68313769*m.b1336) + 0.434294481903252*log(1 + 7812586.5082879*
m.b1337) + 0.434294481903252*log(1 + 2682084.89603106*m.b1338) + 0.434294481903252*log(1 +
3401657.89491278*m.b1339) + 0.434294481903252*log(1 + 1864989.10421188*m.b1340) +
0.434294481903252*log(1 + 3499393.9117317*m.b1341) + 0.434294481903252*log(1 + 5259307.48427864*
m.b1342) + 0.434294481903252*log(1 + 29961642.6336246*m.b1343) + 0.434294481903252*log(1 +
13941075.7823286*m.b1344) + 0.434294481903252*log(1 + 3780146.12806491*m.b1345) +
0.434294481903252*log(1 + 18774282.05142*m.b1346) + 0.434294481903252*log(1 + 37107239.2366831*
m.b1347) + 0.434294481903252*log(1 + 1251303.58134152*m.b1348) + 0.434294481903252*log(1 +
2242020.69109722*m.b1349) + 0.434294481903252*log(1 + 22544182.8935148*m.b1350) +
0.434294481903252*log(1 + 3646929.91249265*m.b1351) + 0.434294481903252*log(1 + 2585526.87608724
*m.b1352) + 0.434294481903252*log(1 + 5572942.63994098*m.b1353) + 0.434294481903252*log(1 +
24564974.4572708*m.b1354) + 0.434294481903252*log(1 + 15983685.5303943*m.b1355) +
0.434294481903252*log(1 + 1943923.4605059*m.b1356) + 0.434294481903252*log(1 + 17358027.4491885*
m.b1357) + 0.434294481903252*log(1 + 1248020.60315312*m.b1358) + 0.434294481903252*log(1 +
5946451.57634343*m.b1359) + 0.434294481903252*log(1 + 32165748.0654817*m.b1360) +
0.434294481903252*log(1 + 6211442.4216212*m.b1361) + 0.434294481903252*log(1 + 27153563.172008*
m.b1362) + 0.434294481903252*log(1 + 14613848.2737857*m.b1363) + 0.434294481903252*log(1 +
6790808.2742588*m.b1364) + 0.434294481903252*log(1 + 5990281.95051854*m.b1365) +
0.434294481903252*log(1 + 12724220.3949935*m.b1366) + 0.434294481903252*log(1 + 12338420.2057828
*m.b1367) + 0.434294481903252*log(1 + 2217766.32024964*m.b1368) + 0.434294481903252*log(1 +
15843787.9913883*m.b1369) + 0.434294481903252*log(1 + 17791506.1331121*m.b1370) +
0.434294481903252*log(1 + 4252131.70150068*m.b1371) + 0.434294481903252*log(1 + 40006893.2241537
*m.b1372) + 0.434294481903252*log(1 + 9979856.13863117*m.b1373) + 0.434294481903252*log(1 +
473417.230535795*m.b1374) + 0.434294481903252*log(1 + 15370102.1934683*m.b1375) +
0.434294481903252*log(1 + 288809.282314116*m.b1376) + 0.434294481903252*log(1 + 4003375.484611*
m.b1377) + 0.434294481903252*log(1 + 1238870.76485211*m.b1378) + 0.434294481903252*log(1 +
3081357.95917364*m.b1379) + 0.434294481903252*log(1 + 9533629.01611018*m.b1380) +
0.434294481903252*log(1 + 21274445.1933579*m.b1381) + 0.434294481903252*log(1 + 211534.918139732
*m.b1382) + 0.434294481903252*log(1 + 7952654.56848817*m.b1383) + 0.434294481903252*log(1 +
1302846.69441735*m.b1384) + 0.434294481903252*log(1 + 80399420.3243026*m.b1385) +
0.434294481903252*log(1 + 1208071.76236002*m.b1386) + 0.434294481903252*log(1 + 6918197.13774733
*m.b1387) + 0.434294481903252*log(1 + 3745652.80253905*m.b1388) + 0.434294481903252*log(1 +
61981611.3827971*m.b1389) + 0.434294481903252*log(1 + 8330721.88236931*m.b1390) +
0.434294481903252*log(1 + 845721.202061917*m.b1391) + 0.434294481903252*log(1 + 1760737.35705381
*m.b1392) + 0.434294481903252*log(1 + 172989851.779143*m.b1393) + 0.434294481903252*log(1 +
30347626.3349387*m.b1394) + 0.434294481903252*log(1 + 4992891.75440036*m.b1395) +
0.434294481903252*log(1 + 28058789.7643057*m.b1396) + 0.434294481903252*log(1 + 2752928.11951555
*m.b1397) + 0.434294481903252*log(1 + 3663210.06177402*m.b1398) + 0.434294481903252*log(1 +
15679230.4229974*m.b1399) + 0.434294481903252*log(1 + 21784988.377294*m.b1400) +
0.434294481903252*log(1 + 22400728.7564985*m.b1401) + 0.434294481903252*log(1 + 2990374.62183564
*m.b1402) + 0.434294481903252*log(1 + 5618902.88559185*m.b1403) + 0.434294481903252*log(1 +
1439391.00438381*m.b1404) + 0.434294481903252*log(1 + 878133.260807379*m.b1405) +
0.434294481903252*log(1 + 16060936.0095082*m.b1406) + 0.434294481903252*log(1 + 5468326.44629933
*m.b1407) + 0.434294481903252*log(1 + 1227075.3911228*m.b1408) + 0.434294481903252*log(1 +
10179109.0920304*m.b1409) + 0.434294481903252*log(1 + 3272363.93040795*m.b1410) +
0.434294481903252*log(1 + 132686715.559776*m.b1411) + 0.434294481903252*log(1 + 20767114.9017032
*m.b1412) + 0.434294481903252*log(1 + 5322355.84069455*m.b1413) + 0.434294481903252*log(1 +
122726349.045793*m.b1414) + 0.434294481903252*log(1 + 7129443.90372831*m.b1415) +
0.434294481903252*log(1 + 2446042.36929704*m.b1416) + 0.434294481903252*log(1 + 10121951.9214908
*m.b1417) + 0.434294481903252*log(1 + 30594394.1028589*m.b1418) + 0.434294481903252*log(1 +
2348415.59298426*m.b1419) + 0.434294481903252*log(1 + 3447935.80164283*m.b1420) +
0.434294481903252*log(1 + 843147.443940864*m.b1421) + 0.434294481903252*log(1 + 9090231.11312935
*m.b1422) + 0.434294481903252*log(1 + 9785388.28121034*m.b1423) + 0.434294481903252*log(1 +
20255.7103245613*m.b1424) + 0.434294481903252*log(1 + 55465916.850969*m.b1425) +
0.434294481903252*log(1 + 8091775.65458408*m.b1426) + 0.434294481903252*log(1 + 40478794.4029658
*m.b1427) + 0.434294481903252*log(1 + 271077.372353127*m.b1428) + 0.434294481903252*log(1 +
20593386.1467719*m.b1429) + 0.434294481903252*log(1 + 42796185.1794177*m.b1430) +
0.434294481903252*log(1 + 112585694.34036*m.b1431) + 0.434294481903252*log(1 + 5282890.43994122*
m.b1432) + 0.434294481903252*log(1 + 11794884.3846719*m.b1433) + 0.434294481903252*log(1 +
4995125.90801744*m.b1434) + 0.434294481903252*log(1 + 5811203.82130413*m.b1435) +
0.434294481903252*log(1 + 990224.203387675*m.b1436) + 0.434294481903252*log(1 + 21415723.1806369
*m.b1437) + 0.434294481903252*log(1 + 6027598.4301338*m.b1438) + 0.434294481903252*log(1 +
1529020.43254862*m.b1439) + 0.434294481903252*log(1 + 14532328.7841485*m.b1440) +
0.434294481903252*log(1 + 22837803.795934*m.b1441) + 0.434294481903252*log(1 + 3415028.9710276*
m.b1442) + 0.434294481903252*log(1 + 12095282.5597965*m.b1443) + 0.434294481903252*log(1 +
17111810.7019142*m.b1444) + 0.434294481903252*log(1 + 14976562.1369271*m.b1445) +
0.434294481903252*log(1 + 1680727.58853957*m.b1446) + 0.434294481903252*log(1 + 8817632.11203578
*m.b1447) + 0.434294481903252*log(1 + 1682323.96147041*m.b1448) + 0.434294481903252*log(1 +
27200311.4293957*m.b1449) + 0.434294481903252*log(1 + 154475.277184017*m.b1450) +
0.434294481903252*log(1 + 2797522.93421409*m.b1451) + 0.434294481903252*log(1 + 923846.550044471
*m.b1452) + 0.434294481903252*log(1 + 221582.319558354*m.b1453) + 0.434294481903252*log(1 +
1474160.09754171*m.b1454) + 0.434294481903252*log(1 + 2756786.93424661*m.b1455) +
0.434294481903252*log(1 + 3559721.30639555*m.b1456) + 0.434294481903252*log(1 + 706230.683924735
*m.b1457) + 0.434294481903252*log(1 + 1493235.33934292*m.b1458) + 0.434294481903252*log(1 +
2861877.88290141*m.b1459) + 0.434294481903252*log(1 + 332197.506990388*m.b1460) +
0.434294481903252*log(1 + 9257795.65520273*m.b1461) + 0.434294481903252*log(1 + 6624324.50564212
*m.b1462) + 0.434294481903252*log(1 + 446510.620850693*m.b1463) + 0.434294481903252*log(1 +
14239194.0604264*m.b1464) + 0.434294481903252*log(1 + 7859806.39580632*m.b1465) +
0.434294481903252*log(1 + 3976180.08261652*m.b1466) + 0.434294481903252*log(1 + 3485509.1818603*
m.b1467) + 0.434294481903252*log(1 + 22390209.4915261*m.b1468) + 0.434294481903252*log(1 +
10633226.3253074*m.b1469) + 0.434294481903252*log(1 + 458502.334306179*m.b1470) +
0.434294481903252*log(1 + 3670189.57226663*m.b1471) + 0.434294481903252*log(1 + 2161459.28628659
*m.b1472) + 0.434294481903252*log(1 + 137130.03919867*m.b1473) + 0.434294481903252*log(1 +
2500099.80729533*m.b1474) + 0.434294481903252*log(1 + 5401013.32251278*m.b1475) +
0.434294481903252*log(1 + 2618253.62816749*m.b1476) + 0.434294481903252*log(1 + 244527.642120042
*m.b1477) + 0.434294481903252*log(1 + 669016.720119378*m.b1478) + 0.434294481903252*log(1 +
3540397.4253402*m.b1479) + 0.434294481903252*log(1 + 3916754.90571211*m.b1480) +
0.434294481903252*log(1 + 10419675.1968846*m.b1481) + 0.434294481903252*log(1 + 9659206.17376549
*m.b1482) + 0.434294481903252*log(1 + 25846593.0650032*m.b1483) + 0.434294481903252*log(1 +
3308480.81058907*m.b1484) + 0.434294481903252*log(1 + 14912180.4316155*m.b1485) +
0.434294481903252*log(1 + 4874664.65089737*m.b1486) + 0.434294481903252*log(1 + 19584177.6798186
*m.b1487) + 0.434294481903252*log(1 + 72820.2769767617*m.b1488) + 0.434294481903252*log(1 +
7605511.64366295*m.b1489) + 0.434294481903252*log(1 + 727044.204796938*m.b1490) +
0.434294481903252*log(1 + 10200375.0283035*m.b1491) + 0.434294481903252*log(1 + 181004.890925444
*m.b1492) + 0.434294481903252*log(1 + 16342483.4830048*m.b1493) + 0.434294481903252*log(1 +
9679188.56736724*m.b1494) + 0.434294481903252*log(1 + 10299649.1153784*m.b1495) +
0.434294481903252*log(1 + 207032.190046169*m.b1496) + 0.434294481903252*log(1 + 996664.924795221
*m.b1497) + 0.434294481903252*log(1 + 14747233.80944*m.b1498) + 0.434294481903252*log(1 +
895413.594286121*m.b1499) + 0.434294481903252*log(1 + 21140110.0009216*m.b1500) >= 7.5257498916)
m.c21 = Constraint(expr= - 45*m.b1 + m.x1501 <= 0)
m.c22 = Constraint(expr= - 45*m.b2 + m.x1502 <= 0)
m.c23 = Constraint(expr= - 45*m.b3 + m.x1503 <= 0)
m.c24 = Constraint(expr= - 45*m.b4 + m.x1504 <= 0)
m.c25 = Constraint(expr= - 45*m.b5 + m.x1505 <= 0)
m.c26 = Constraint(expr= - 45*m.b6 + m.x1506 <= 0)
m.c27 = Constraint(expr= - 45*m.b7 + m.x1507 <= 0)
m.c28 = Constraint(expr= - 45*m.b8 + m.x1508 <= 0)
m.c29 = Constraint(expr= - 45*m.b9 + m.x1509 <= 0)
m.c30 = Constraint(expr= - 45*m.b10 + m.x1510 <= 0)
m.c31 = Constraint(expr= - 45*m.b11 + m.x1511 <= 0)
m.c32 = Constraint(expr= - 45*m.b12 + m.x1512 <= 0)
m.c33 = Constraint(expr= - 45*m.b13 + m.x1513 <= 0)
m.c34 = Constraint(expr= - 45*m.b14 + m.x1514 <= 0)
m.c35 = Constraint(expr= - 45*m.b15 + m.x1515 <= 0)
m.c36 = Constraint(expr= - 45*m.b16 + m.x1516 <= 0)
m.c37 = Constraint(expr= - 45*m.b17 + m.x1517 <= 0)
m.c38 = Constraint(expr= - 45*m.b18 + m.x1518 <= 0)
m.c39 = Constraint(expr= - 45*m.b19 + m.x1519 <= 0)
m.c40 = Constraint(expr= - 45*m.b20 + m.x1520 <= 0)
m.c41 = Constraint(expr= - 45*m.b21 + m.x1521 <= 0)
m.c42 = Constraint(expr= - 45*m.b22 + m.x1522 <= 0)
m.c43 = Constraint(expr= - 45*m.b23 + m.x1523 <= 0)
m.c44 = Constraint(expr= - 45*m.b24 + m.x1524 <= 0)
m.c45 = Constraint(expr= - 45*m.b25 + m.x1525 <= 0)
m.c46 = Constraint(expr= - 45*m.b26 + m.x1526 <= 0)
m.c47 = Constraint(expr= - 45*m.b27 + m.x1527 <= 0)
m.c48 = Constraint(expr= - 45*m.b28 + m.x1528 <= 0)
m.c49 = Constraint(expr= - 45*m.b29 + m.x1529 <= 0)
m.c50 = Constraint(expr= - 45*m.b30 + m.x1530 <= 0)
m.c51 = Constraint(expr= - 45*m.b31 + m.x1531 <= 0)
m.c52 = Constraint(expr= - 45*m.b32 + m.x1532 <= 0)
m.c53 = Constraint(expr= - 45*m.b33 + m.x1533 <= 0)
m.c54 = Constraint(expr= - 45*m.b34 + m.x1534 <= 0)
m.c55 = Constraint(expr= - 45*m.b35 + m.x1535 <= 0)
m.c56 = Constraint(expr= - 45*m.b36 + m.x1536 <= 0)
m.c57 = Constraint(expr= - 45*m.b37 + m.x1537 <= 0)
m.c58 = Constraint(expr= - 45*m.b38 + m.x1538 <= 0)
m.c59 = Constraint(expr= - 45*m.b39 + m.x1539 <= 0)
m.c60 = Constraint(expr= - 45*m.b40 + m.x1540 <= 0)
m.c61 = Constraint(expr= - 45*m.b41 + m.x1541 <= 0)
m.c62 = Constraint(expr= - 45*m.b42 + m.x1542 <= 0)
m.c63 = Constraint(expr= - 45*m.b43 + m.x1543 <= 0)
m.c64 = Constraint(expr= - 45*m.b44 + m.x1544 <= 0)
m.c65 = Constraint(expr= - 45*m.b45 + m.x1545 <= 0)
m.c66 = Constraint(expr= - 45*m.b46 + m.x1546 <= 0)
m.c67 = Constraint(expr= - 45*m.b47 + m.x1547 <= 0)
m.c68 = Constraint(expr= - 45*m.b48 + m.x1548 <= 0)
m.c69 = Constraint(expr= - 45*m.b49 + m.x1549 <= 0)
m.c70 = Constraint(expr= - 45*m.b50 + m.x1550 <= 0)
m.c71 = Constraint(expr= - 45*m.b51 + m.x1551 <= 0)
m.c72 = Constraint(expr= - 45*m.b52 + m.x1552 <= 0)
m.c73 = Constraint(expr= - 45*m.b53 + m.x1553 <= 0)
m.c74 = Constraint(expr= - 45*m.b54 + m.x1554 <= 0)
m.c75 = Constraint(expr= - 45*m.b55 + m.x1555 <= 0)
m.c76 = Constraint(expr= - 45*m.b56 + m.x1556 <= 0)
m.c77 = Constraint(expr= - 45*m.b57 + m.x1557 <= 0)
m.c78 = Constraint(expr= - 45*m.b58 + m.x1558 <= 0)
m.c79 = Constraint(expr= - 45*m.b59 + m.x1559 <= 0)
m.c80 = Constraint(expr= - 45*m.b60 + m.x1560 <= 0)
m.c81 = Constraint(expr= - 45*m.b61 + m.x1561 <= 0)
m.c82 = Constraint(expr= - 45*m.b62 + m.x1562 <= 0)
m.c83 = Constraint(expr= - 45*m.b63 + m.x1563 <= 0)
m.c84 = Constraint(expr= - 45*m.b64 + m.x1564 <= 0)
m.c85 = Constraint(expr= - 45*m.b65 + m.x1565 <= 0)
m.c86 = Constraint(expr= - 45*m.b66 + m.x1566 <= 0)
m.c87 = Constraint(expr= - 45*m.b67 + m.x1567 <= 0)
m.c88 = Constraint(expr= - 45*m.b68 + m.x1568 <= 0)
m.c89 = Constraint(expr= - 45*m.b69 + m.x1569 <= 0)
m.c90 = Constraint(expr= - 45*m.b70 + m.x1570 <= 0)
m.c91 = Constraint(expr= - 45*m.b71 + m.x1571 <= 0)
m.c92 = Constraint(expr= - 45*m.b72 + m.x1572 <= 0)
m.c93 = Constraint(expr= - 45*m.b73 + m.x1573 <= 0)
m.c94 = Constraint(expr= - 45*m.b74 + m.x1574 <= 0)
m.c95 = Constraint(expr= - 45*m.b75 + m.x1575 <= 0)
m.c96 = Constraint(expr= - 45*m.b76 + m.x1576 <= 0)
m.c97 = Constraint(expr= - 45*m.b77 + m.x1577 <= 0)
m.c98 = Constraint(expr= - 45*m.b78 + m.x1578 <= 0)
m.c99 = Constraint(expr= - 45*m.b79 + m.x1579 <= 0)
m.c100 = Constraint(expr= - 45*m.b80 + m.x1580 <= 0)
m.c101 = Constraint(expr= - 45*m.b81 + m.x1581 <= 0)
m.c102 = Constraint(expr= - 45*m.b82 + m.x1582 <= 0)
m.c103 = Constraint(expr= - 45*m.b83 + m.x1583 <= 0)
m.c104 = Constraint(expr= - 45*m.b84 + m.x1584 <= 0)
m.c105 = Constraint(expr= - 45*m.b85 + m.x1585 <= 0)
m.c106 = Constraint(expr= - 45*m.b86 + m.x1586 <= 0)
m.c107 = Constraint(expr= - 45*m.b87 + m.x1587 <= 0)
m.c108 = Constraint(expr= - 45*m.b88 + m.x1588 <= 0)
m.c109 = Constraint(expr= - 45*m.b89 + m.x1589 <= 0)
m.c110 = Constraint(expr= - 45*m.b90 + m.x1590 <= 0)
m.c111 = Constraint(expr= - 45*m.b91 + m.x1591 <= 0)
m.c112 = Constraint(expr= - 45*m.b92 + m.x1592 <= 0)
m.c113 = Constraint(expr= - 45*m.b93 + m.x1593 <= 0)
m.c114 = Constraint(expr= - 45*m.b94 + m.x1594 <= 0)
m.c115 = Constraint(expr= - 45*m.b95 + m.x1595 <= 0)
m.c116 = Constraint(expr= - 45*m.b96 + m.x1596 <= 0)
m.c117 = Constraint(expr= - 45*m.b97 + m.x1597 <= 0)
m.c118 = Constraint(expr= - 45*m.b98 + m.x1598 <= 0)
m.c119 = Constraint(expr= - 45*m.b99 + m.x1599 <= 0)
m.c120 = Constraint(expr= - 45*m.b100 + m.x1600 <= 0)
m.c121 = Constraint(expr= - 45*m.b101 + m.x1601 <= 0)
m.c122 = Constraint(expr= - 45*m.b102 + m.x1602 <= 0)
m.c123 = Constraint(expr= - 45*m.b103 + m.x1603 <= 0)
m.c124 = Constraint(expr= - 45*m.b104 + m.x1604 <= 0)
m.c125 = Constraint(expr= - 45*m.b105 + m.x1605 <= 0)
m.c126 = Constraint(expr= - 45*m.b106 + m.x1606 <= 0)
m.c127 = Constraint(expr= - 45*m.b107 + m.x1607 <= 0)
m.c128 = Constraint(expr= - 45*m.b108 + m.x1608 <= 0)
m.c129 = Constraint(expr= - 45*m.b109 + m.x1609 <= 0)
m.c130 = Constraint(expr= - 45*m.b110 + m.x1610 <= 0)
m.c131 = Constraint(expr= - 45*m.b111 + m.x1611 <= 0)
m.c132 = Constraint(expr= - 45*m.b112 + m.x1612 <= 0)
m.c133 = Constraint(expr= - 45*m.b113 + m.x1613 <= 0)
m.c134 = Constraint(expr= - 45*m.b114 + m.x1614 <= 0)
m.c135 = Constraint(expr= - 45*m.b115 + m.x1615 <= 0)
m.c136 = Constraint(expr= - 45*m.b116 + m.x1616 <= 0)
m.c137 = Constraint(expr= - 45*m.b117 + m.x1617 <= 0)
m.c138 = Constraint(expr= - 45*m.b118 + m.x1618 <= 0)
m.c139 = Constraint(expr= - 45*m.b119 + m.x1619 <= 0)
m.c140 = Constraint(expr= - 45*m.b120 + m.x1620 <= 0)
m.c141 = Constraint(expr= - 45*m.b121 + m.x1621 <= 0)
m.c142 = Constraint(expr= - 45*m.b122 + m.x1622 <= 0)
m.c143 = Constraint(expr= - 45*m.b123 + m.x1623 <= 0)
m.c144 = Constraint(expr= - 45*m.b124 + m.x1624 <= 0)
m.c145 = Constraint(expr= - 45*m.b125 + m.x1625 <= 0)
m.c146 = Constraint(expr= - 45*m.b126 + m.x1626 <= 0)
m.c147 = Constraint(expr= - 45*m.b127 + m.x1627 <= 0)
m.c148 = Constraint(expr= - 45*m.b128 + m.x1628 <= 0)
m.c149 = Constraint(expr= - 45*m.b129 + m.x1629 <= 0)
m.c150 = Constraint(expr= - 45*m.b130 + m.x1630 <= 0)
m.c151 = Constraint(expr= - 45*m.b131 + m.x1631 <= 0)
m.c152 = Constraint(expr= - 45*m.b132 + m.x1632 <= 0)
m.c153 = Constraint(expr= - 45*m.b133 + m.x1633 <= 0)
m.c154 = Constraint(expr= - 45*m.b134 + m.x1634 <= 0)
m.c155 = Constraint(expr= - 45*m.b135 + m.x1635 <= 0)
m.c156 = Constraint(expr= - 45*m.b136 + m.x1636 <= 0)
m.c157 = Constraint(expr= - 45*m.b137 + m.x1637 <= 0)
m.c158 = Constraint(expr= - 45*m.b138 + m.x1638 <= 0)
m.c159 = Constraint(expr= - 45*m.b139 + m.x1639 <= 0)
m.c160 = Constraint(expr= - 45*m.b140 + m.x1640 <= 0)
m.c161 = Constraint(expr= - 45*m.b141 + m.x1641 <= 0)
m.c162 = Constraint(expr= - 45*m.b142 + m.x1642 <= 0)
m.c163 = Constraint(expr= - 45*m.b143 + m.x1643 <= 0)
m.c164 = Constraint(expr= - 45*m.b144 + m.x1644 <= 0)
m.c165 = Constraint(expr= - 45*m.b145 + m.x1645 <= 0)
m.c166 = Constraint(expr= - 45*m.b146 + m.x1646 <= 0)
m.c167 = Constraint(expr= - 45*m.b147 + m.x1647 <= 0)
m.c168 = Constraint(expr= - 45*m.b148 + m.x1648 <= 0)
m.c169 = Constraint(expr= - 45*m.b149 + m.x1649 <= 0)
m.c170 = Constraint(expr= - 45*m.b150 + m.x1650 <= 0)
m.c171 = Constraint(expr= - 45*m.b151 + m.x1651 <= 0)
m.c172 = Constraint(expr= - 45*m.b152 + m.x1652 <= 0)
m.c173 = Constraint(expr= - 45*m.b153 + m.x1653 <= 0)
m.c174 = Constraint(expr= - 45*m.b154 + m.x1654 <= 0)
m.c175 = Constraint(expr= - 45*m.b155 + m.x1655 <= 0)
m.c176 = Constraint(expr= - 45*m.b156 + m.x1656 <= 0)
m.c177 = Constraint(expr= - 45*m.b157 + m.x1657 <= 0)
m.c178 = Constraint(expr= - 45*m.b158 + m.x1658 <= 0)
m.c179 = Constraint(expr= - 45*m.b159 + m.x1659 <= 0)
m.c180 = Constraint(expr= - 45*m.b160 + m.x1660 <= 0)
m.c181 = Constraint(expr= - 45*m.b161 + m.x1661 <= 0)
m.c182 = Constraint(expr= - 45*m.b162 + m.x1662 <= 0)
m.c183 = Constraint(expr= - 45*m.b163 + m.x1663 <= 0)
m.c184 = Constraint(expr= - 45*m.b164 + m.x1664 <= 0)
m.c185 = Constraint(expr= - 45*m.b165 + m.x1665 <= 0)
m.c186 = Constraint(expr= - 45*m.b166 + m.x1666 <= 0)
m.c187 = Constraint(expr= - 45*m.b167 + m.x1667 <= 0)
m.c188 = Constraint(expr= - 45*m.b168 + m.x1668 <= 0)
m.c189 = Constraint(expr= - 45*m.b169 + m.x1669 <= 0)
m.c190 = Constraint(expr= - 45*m.b170 + m.x1670 <= 0)
m.c191 = Constraint(expr= - 45*m.b171 + m.x1671 <= 0)
m.c192 = Constraint(expr= - 45*m.b172 + m.x1672 <= 0)
m.c193 = Constraint(expr= - 45*m.b173 + m.x1673 <= 0)
m.c194 = Constraint(expr= - 45*m.b174 + m.x1674 <= 0)
m.c195 = Constraint(expr= - 45*m.b175 + m.x1675 <= 0)
m.c196 = Constraint(expr= - 45*m.b176 + m.x1676 <= 0)
m.c197 = Constraint(expr= - 45*m.b177 + m.x1677 <= 0)
m.c198 = Constraint(expr= - 45*m.b178 + m.x1678 <= 0)
m.c199 = Constraint(expr= - 45*m.b179 + m.x1679 <= 0)
m.c200 = Constraint(expr= - 45*m.b180 + m.x1680 <= 0)
m.c201 = Constraint(expr= - 45*m.b181 + m.x1681 <= 0)
m.c202 = Constraint(expr= - 45*m.b182 + m.x1682 <= 0)
m.c203 = Constraint(expr= - 45*m.b183 + m.x1683 <= 0)
m.c204 = Constraint(expr= - 45*m.b184 + m.x1684 <= 0)
m.c205 = Constraint(expr= - 45*m.b185 + m.x1685 <= 0)
m.c206 = Constraint(expr= - 45*m.b186 + m.x1686 <= 0)
m.c207 = Constraint(expr= - 45*m.b187 + m.x1687 <= 0)
m.c208 = Constraint(expr= - 45*m.b188 + m.x1688 <= 0)
m.c209 = Constraint(expr= - 45*m.b189 + m.x1689 <= 0)
m.c210 = Constraint(expr= - 45*m.b190 + m.x1690 <= 0)
m.c211 = Constraint(expr= - 45*m.b191 + m.x1691 <= 0)
m.c212 = Constraint(expr= - 45*m.b192 + m.x1692 <= 0)
m.c213 = Constraint(expr= - 45*m.b193 + m.x1693 <= 0)
m.c214 = Constraint(expr= - 45*m.b194 + m.x1694 <= 0)
m.c215 = Constraint(expr= - 45*m.b195 + m.x1695 <= 0)
m.c216 = Constraint(expr= - 45*m.b196 + m.x1696 <= 0)
m.c217 = Constraint(expr= - 45*m.b197 + m.x1697 <= 0)
m.c218 = Constraint(expr= - 45*m.b198 + m.x1698 <= 0)
m.c219 = Constraint(expr= - 45*m.b199 + m.x1699 <= 0)
m.c220 = Constraint(expr= - 45*m.b200 + m.x1700 <= 0)
m.c221 = Constraint(expr= - 45*m.b201 + m.x1701 <= 0)
m.c222 = Constraint(expr= - 45*m.b202 + m.x1702 <= 0)
m.c223 = Constraint(expr= - 45*m.b203 + m.x1703 <= 0)
m.c224 = Constraint(expr= - 45*m.b204 + m.x1704 <= 0)
m.c225 = Constraint(expr= - 45*m.b205 + m.x1705 <= 0)
m.c226 = Constraint(expr= - 45*m.b206 + m.x1706 <= 0)
m.c227 = Constraint(expr= - 45*m.b207 + m.x1707 <= 0)
m.c228 = Constraint(expr= - 45*m.b208 + m.x1708 <= 0)
m.c229 = Constraint(expr= - 45*m.b209 + m.x1709 <= 0)
m.c230 = Constraint(expr= - 45*m.b210 + m.x1710 <= 0)
m.c231 = Constraint(expr= - 45*m.b211 + m.x1711 <= 0)
m.c232 = Constraint(expr= - 45*m.b212 + m.x1712 <= 0)
m.c233 = Constraint(expr= - 45*m.b213 + m.x1713 <= 0)
m.c234 = Constraint(expr= - 45*m.b214 + m.x1714 <= 0)
m.c235 = Constraint(expr= - 45*m.b215 + m.x1715 <= 0)
m.c236 = Constraint(expr= - 45*m.b216 + m.x1716 <= 0)
m.c237 = Constraint(expr= - 45*m.b217 + m.x1717 <= 0)
m.c238 = Constraint(expr= - 45*m.b218 + m.x1718 <= 0)
m.c239 = Constraint(expr= - 45*m.b219 + m.x1719 <= 0)
m.c240 = Constraint(expr= - 45*m.b220 + m.x1720 <= 0)
m.c241 = Constraint(expr= - 45*m.b221 + m.x1721 <= 0)
m.c242 = Constraint(expr= - 45*m.b222 + m.x1722 <= 0)
m.c243 = Constraint(expr= - 45*m.b223 + m.x1723 <= 0)
m.c244 = Constraint(expr= - 45*m.b224 + m.x1724 <= 0)
m.c245 = Constraint(expr= - 45*m.b225 + m.x1725 <= 0)
m.c246 = Constraint(expr= - 45*m.b226 + m.x1726 <= 0)
m.c247 = Constraint(expr= - 45*m.b227 + m.x1727 <= 0)
m.c248 = Constraint(expr= - 45*m.b228 + m.x1728 <= 0)
m.c249 = Constraint(expr= - 45*m.b229 + m.x1729 <= 0)
m.c250 = Constraint(expr= - 45*m.b230 + m.x1730 <= 0)
m.c251 = Constraint(expr= - 45*m.b231 + m.x1731 <= 0)
m.c252 = Constraint(expr= - 45*m.b232 + m.x1732 <= 0)
m.c253 = Constraint(expr= - 45*m.b233 + m.x1733 <= 0)
m.c254 = Constraint(expr= - 45*m.b234 + m.x1734 <= 0)
m.c255 = Constraint(expr= - 45*m.b235 + m.x1735 <= 0)
m.c256 = Constraint(expr= - 45*m.b236 + m.x1736 <= 0)
m.c257 = Constraint(expr= - 45*m.b237 + m.x1737 <= 0)
m.c258 = Constraint(expr= - 45*m.b238 + m.x1738 <= 0)
m.c259 = Constraint(expr= - 45*m.b239 + m.x1739 <= 0)
m.c260 = Constraint(expr= - 45*m.b240 + m.x1740 <= 0)
m.c261 = Constraint(expr= - 45*m.b241 + m.x1741 <= 0)
m.c262 = Constraint(expr= - 45*m.b242 + m.x1742 <= 0)
m.c263 = Constraint(expr= - 45*m.b243 + m.x1743 <= 0)
m.c264 = Constraint(expr= - 45*m.b244 + m.x1744 <= 0)
m.c265 = Constraint(expr= - 45*m.b245 + m.x1745 <= 0)
m.c266 = Constraint(expr= - 45*m.b246 + m.x1746 <= 0)
m.c267 = Constraint(expr= - 45*m.b247 + m.x1747 <= 0)
m.c268 = Constraint(expr= - 45*m.b248 + m.x1748 <= 0)
m.c269 = Constraint(expr= - 45*m.b249 + m.x1749 <= 0)
m.c270 = Constraint(expr= - 45*m.b250 + m.x1750 <= 0)
m.c271 = Constraint(expr= - 45*m.b251 + m.x1751 <= 0)
m.c272 = Constraint(expr= - 45*m.b252 + m.x1752 <= 0)
m.c273 = Constraint(expr= - 45*m.b253 + m.x1753 <= 0)
m.c274 = Constraint(expr= - 45*m.b254 + m.x1754 <= 0)
m.c275 = Constraint(expr= - 45*m.b255 + m.x1755 <= 0)
m.c276 = Constraint(expr= - 45*m.b256 + m.x1756 <= 0)
m.c277 = Constraint(expr= - 45*m.b257 + m.x1757 <= 0)
m.c278 = Constraint(expr= - 45*m.b258 + m.x1758 <= 0)
m.c279 = Constraint(expr= - 45*m.b259 + m.x1759 <= 0)
m.c280 = Constraint(expr= - 45*m.b260 + m.x1760 <= 0)
m.c281 = Constraint(expr= - 45*m.b261 + m.x1761 <= 0)
m.c282 = Constraint(expr= - 45*m.b262 + m.x1762 <= 0)
m.c283 = Constraint(expr= - 45*m.b263 + m.x1763 <= 0)
m.c284 = Constraint(expr= - 45*m.b264 + m.x1764 <= 0)
m.c285 = Constraint(expr= - 45*m.b265 + m.x1765 <= 0)
m.c286 = Constraint(expr= - 45*m.b266 + m.x1766 <= 0)
m.c287 = Constraint(expr= - 45*m.b267 + m.x1767 <= 0)
m.c288 = Constraint(expr= - 45*m.b268 + m.x1768 <= 0)
m.c289 = Constraint(expr= - 45*m.b269 + m.x1769 <= 0)
m.c290 = Constraint(expr= - 45*m.b270 + m.x1770 <= 0)
m.c291 = Constraint(expr= - 45*m.b271 + m.x1771 <= 0)
m.c292 = Constraint(expr= - 45*m.b272 + m.x1772 <= 0)
m.c293 = Constraint(expr= - 45*m.b273 + m.x1773 <= 0)
m.c294 = Constraint(expr= - 45*m.b274 + m.x1774 <= 0)
m.c295 = Constraint(expr= - 45*m.b275 + m.x1775 <= 0)
m.c296 = Constraint(expr= - 45*m.b276 + m.x1776 <= 0)
m.c297 = Constraint(expr= - 45*m.b277 + m.x1777 <= 0)
m.c298 = Constraint(expr= - 45*m.b278 + m.x1778 <= 0)
m.c299 = Constraint(expr= - 45*m.b279 + m.x1779 <= 0)
m.c300 = Constraint(expr= - 45*m.b280 + m.x1780 <= 0)
m.c301 = Constraint(expr= - 45*m.b281 + m.x1781 <= 0)
m.c302 = Constraint(expr= - 45*m.b282 + m.x1782 <= 0)
m.c303 = Constraint(expr= - 45*m.b283 + m.x1783 <= 0)
m.c304 = Constraint(expr= - 45*m.b284 + m.x1784 <= 0)
m.c305 = Constraint(expr= - 45*m.b285 + m.x1785 <= 0)
m.c306 = Constraint(expr= - 45*m.b286 + m.x1786 <= 0)
m.c307 = Constraint(expr= - 45*m.b287 + m.x1787 <= 0)
m.c308 = Constraint(expr= - 45*m.b288 + m.x1788 <= 0)
m.c309 = Constraint(expr= - 45*m.b289 + m.x1789 <= 0)
m.c310 = Constraint(expr= - 45*m.b290 + m.x1790 <= 0)
m.c311 = Constraint(expr= - 45*m.b291 + m.x1791 <= 0)
m.c312 = Constraint(expr= - 45*m.b292 + m.x1792 <= 0)
m.c313 = Constraint(expr= - 45*m.b293 + m.x1793 <= 0)
m.c314 = Constraint(expr= - 45*m.b294 + m.x1794 <= 0)
m.c315 = Constraint(expr= - 45*m.b295 + m.x1795 <= 0)
m.c316 = Constraint(expr= - 45*m.b296 + m.x1796 <= 0)
m.c317 = Constraint(expr= - 45*m.b297 + m.x1797 <= 0)
m.c318 = Constraint(expr= - 45*m.b298 + m.x1798 <= 0)
m.c319 = Constraint(expr= - 45*m.b299 + m.x1799 <= 0)
m.c320 = Constraint(expr= - 45*m.b300 + m.x1800 <= 0)
m.c321 = Constraint(expr= - 45*m.b301 + m.x1801 <= 0)
m.c322 = Constraint(expr= - 45*m.b302 + m.x1802 <= 0)
m.c323 = Constraint(expr= - 45*m.b303 + m.x1803 <= 0)
m.c324 = Constraint(expr= - 45*m.b304 + m.x1804 <= 0)
m.c325 = Constraint(expr= - 45*m.b305 + m.x1805 <= 0)
m.c326 = Constraint(expr= - 45*m.b306 + m.x1806 <= 0)
m.c327 = Constraint(expr= - 45*m.b307 + m.x1807 <= 0)
m.c328 = Constraint(expr= - 45*m.b308 + m.x1808 <= 0)
m.c329 = Constraint(expr= - 45*m.b309 + m.x1809 <= 0)
m.c330 = Constraint(expr= - 45*m.b310 + m.x1810 <= 0)
m.c331 = Constraint(expr= - 45*m.b311 + m.x1811 <= 0)
m.c332 = Constraint(expr= - 45*m.b312 + m.x1812 <= 0)
m.c333 = Constraint(expr= - 45*m.b313 + m.x1813 <= 0)
m.c334 = Constraint(expr= - 45*m.b314 + m.x1814 <= 0)
m.c335 = Constraint(expr= - 45*m.b315 + m.x1815 <= 0)
m.c336 = Constraint(expr= - 45*m.b316 + m.x1816 <= 0)
m.c337 = Constraint(expr= - 45*m.b317 + m.x1817 <= 0)
m.c338 = Constraint(expr= - 45*m.b318 + m.x1818 <= 0)
m.c339 = Constraint(expr= - 45*m.b319 + m.x1819 <= 0)
m.c340 = Constraint(expr= - 45*m.b320 + m.x1820 <= 0)
m.c341 = Constraint(expr= - 45*m.b321 + m.x1821 <= 0)
m.c342 = Constraint(expr= - 45*m.b322 + m.x1822 <= 0)
m.c343 = Constraint(expr= - 45*m.b323 + m.x1823 <= 0)
m.c344 = Constraint(expr= - 45*m.b324 + m.x1824 <= 0)
m.c345 = Constraint(expr= - 45*m.b325 + m.x1825 <= 0)
m.c346 = Constraint(expr= - 45*m.b326 + m.x1826 <= 0)
m.c347 = Constraint(expr= - 45*m.b327 + m.x1827 <= 0)
m.c348 = Constraint(expr= - 45*m.b328 + m.x1828 <= 0)
m.c349 = Constraint(expr= - 45*m.b329 + m.x1829 <= 0)
m.c350 = Constraint(expr= - 45*m.b330 + m.x1830 <= 0)
m.c351 = Constraint(expr= - 45*m.b331 + m.x1831 <= 0)
m.c352 = Constraint(expr= - 45*m.b332 + m.x1832 <= 0)
m.c353 = Constraint(expr= - 45*m.b333 + m.x1833 <= 0)
m.c354 = Constraint(expr= - 45*m.b334 + m.x1834 <= 0)
m.c355 = Constraint(expr= - 45*m.b335 + m.x1835 <= 0)
m.c356 = Constraint(expr= - 45*m.b336 + m.x1836 <= 0)
m.c357 = Constraint(expr= - 45*m.b337 + m.x1837 <= 0)
m.c358 = Constraint(expr= - 45*m.b338 + m.x1838 <= 0)
m.c359 = Constraint(expr= - 45*m.b339 + m.x1839 <= 0)
m.c360 = Constraint(expr= - 45*m.b340 + m.x1840 <= 0)
m.c361 = Constraint(expr= - 45*m.b341 + m.x1841 <= 0)
m.c362 = Constraint(expr= - 45*m.b342 + m.x1842 <= 0)
m.c363 = Constraint(expr= - 45*m.b343 + m.x1843 <= 0)
m.c364 = Constraint(expr= - 45*m.b344 + m.x1844 <= 0)
m.c365 = Constraint(expr= - 45*m.b345 + m.x1845 <= 0)
m.c366 = Constraint(expr= - 45*m.b346 + m.x1846 <= 0)
m.c367 = Constraint(expr= - 45*m.b347 + m.x1847 <= 0)
m.c368 = Constraint(expr= - 45*m.b348 + m.x1848 <= 0)
m.c369 = Constraint(expr= - 45*m.b349 + m.x1849 <= 0)
m.c370 = Constraint(expr= - 45*m.b350 + m.x1850 <= 0)
m.c371 = Constraint(expr= - 45*m.b351 + m.x1851 <= 0)
m.c372 = Constraint(expr= - 45*m.b352 + m.x1852 <= 0)
m.c373 = Constraint(expr= - 45*m.b353 + m.x1853 <= 0)
m.c374 = Constraint(expr= - 45*m.b354 + m.x1854 <= 0)
m.c375 = Constraint(expr= - 45*m.b355 + m.x1855 <= 0)
m.c376 = Constraint(expr= - 45*m.b356 + m.x1856 <= 0)
m.c377 = Constraint(expr= - 45*m.b357 + m.x1857 <= 0)
m.c378 = Constraint(expr= - 45*m.b358 + m.x1858 <= 0)
m.c379 = Constraint(expr= - 45*m.b359 + m.x1859 <= 0)
m.c380 = Constraint(expr= - 45*m.b360 + m.x1860 <= 0)
m.c381 = Constraint(expr= - 45*m.b361 + m.x1861 <= 0)
m.c382 = Constraint(expr= - 45*m.b362 + m.x1862 <= 0)
m.c383 = Constraint(expr= - 45*m.b363 + m.x1863 <= 0)
m.c384 = Constraint(expr= - 45*m.b364 + m.x1864 <= 0)
m.c385 = Constraint(expr= - 45*m.b365 + m.x1865 <= 0)
m.c386 = Constraint(expr= - 45*m.b366 + m.x1866 <= 0)
m.c387 = Constraint(expr= - 45*m.b367 + m.x1867 <= 0)
m.c388 = Constraint(expr= - 45*m.b368 + m.x1868 <= 0)
m.c389 = Constraint(expr= - 45*m.b369 + m.x1869 <= 0)
m.c390 = Constraint(expr= - 45*m.b370 + m.x1870 <= 0)
m.c391 = Constraint(expr= - 45*m.b371 + m.x1871 <= 0)
m.c392 = Constraint(expr= - 45*m.b372 + m.x1872 <= 0)
m.c393 = Constraint(expr= - 45*m.b373 + m.x1873 <= 0)
m.c394 = Constraint(expr= - 45*m.b374 + m.x1874 <= 0)
m.c395 = Constraint(expr= - 45*m.b375 + m.x1875 <= 0)
m.c396 = Constraint(expr= - 45*m.b376 + m.x1876 <= 0)
m.c397 = Constraint(expr= - 45*m.b377 + m.x1877 <= 0)
m.c398 = Constraint(expr= - 45*m.b378 + m.x1878 <= 0)
m.c399 = Constraint(expr= - 45*m.b379 + m.x1879 <= 0)
m.c400 = Constraint(expr= - 45*m.b380 + m.x1880 <= 0)
m.c401 = Constraint(expr= - 45*m.b381 + m.x1881 <= 0)
m.c402 = Constraint(expr= - 45*m.b382 + m.x1882 <= 0)
m.c403 = Constraint(expr= - 45*m.b383 + m.x1883 <= 0)
m.c404 = Constraint(expr= - 45*m.b384 + m.x1884 <= 0)
m.c405 = Constraint(expr= - 45*m.b385 + m.x1885 <= 0)
m.c406 = Constraint(expr= - 45*m.b386 + m.x1886 <= 0)
m.c407 = Constraint(expr= - 45*m.b387 + m.x1887 <= 0)
m.c408 = Constraint(expr= - 45*m.b388 + m.x1888 <= 0)
m.c409 = Constraint(expr= - 45*m.b389 + m.x1889 <= 0)
m.c410 = Constraint(expr= - 45*m.b390 + m.x1890 <= 0)
m.c411 = Constraint(expr= - 45*m.b391 + m.x1891 <= 0)
m.c412 = Constraint(expr= - 45*m.b392 + m.x1892 <= 0)
m.c413 = Constraint(expr= - 45*m.b393 + m.x1893 <= 0)
m.c414 = Constraint(expr= - 45*m.b394 + m.x1894 <= 0)
m.c415 = Constraint(expr= - 45*m.b395 + m.x1895 <= 0)
m.c416 = Constraint(expr= - 45*m.b396 + m.x1896 <= 0)
m.c417 = Constraint(expr= - 45*m.b397 + m.x1897 <= 0)
m.c418 = Constraint(expr= - 45*m.b398 + m.x1898 <= 0)
m.c419 = Constraint(expr= - 45*m.b399 + m.x1899 <= 0)
m.c420 = Constraint(expr= - 45*m.b400 + m.x1900 <= 0)
m.c421 = Constraint(expr= - 45*m.b401 + m.x1901 <= 0)
m.c422 = Constraint(expr= - 45*m.b402 + m.x1902 <= 0)
m.c423 = Constraint(expr= - 45*m.b403 + m.x1903 <= 0)
m.c424 = Constraint(expr= - 45*m.b404 + m.x1904 <= 0)
m.c425 = Constraint(expr= - 45*m.b405 + m.x1905 <= 0)
m.c426 = Constraint(expr= - 45*m.b406 + m.x1906 <= 0)
m.c427 = Constraint(expr= - 45*m.b407 + m.x1907 <= 0)
m.c428 = Constraint(expr= - 45*m.b408 + m.x1908 <= 0)
m.c429 = Constraint(expr= - 45*m.b409 + m.x1909 <= 0)
m.c430 = Constraint(expr= - 45*m.b410 + m.x1910 <= 0)
m.c431 = Constraint(expr= - 45*m.b411 + m.x1911 <= 0)
m.c432 = Constraint(expr= - 45*m.b412 + m.x1912 <= 0)
m.c433 = Constraint(expr= - 45*m.b413 + m.x1913 <= 0)
m.c434 = Constraint(expr= - 45*m.b414 + m.x1914 <= 0)
m.c435 = Constraint(expr= - 45*m.b415 + m.x1915 <= 0)
m.c436 = Constraint(expr= - 45*m.b416 + m.x1916 <= 0)
m.c437 = Constraint(expr= - 45*m.b417 + m.x1917 <= 0)
m.c438 = Constraint(expr= - 45*m.b418 + m.x1918 <= 0)
m.c439 = Constraint(expr= - 45*m.b419 + m.x1919 <= 0)
m.c440 = Constraint(expr= - 45*m.b420 + m.x1920 <= 0)
m.c441 = Constraint(expr= - 45*m.b421 + m.x1921 <= 0)
m.c442 = Constraint(expr= - 45*m.b422 + m.x1922 <= 0)
m.c443 = Constraint(expr= - 45*m.b423 + m.x1923 <= 0)
m.c444 = Constraint(expr= - 45*m.b424 + m.x1924 <= 0)
m.c445 = Constraint(expr= - 45*m.b425 + m.x1925 <= 0)
m.c446 = Constraint(expr= - 45*m.b426 + m.x1926 <= 0)
m.c447 = Constraint(expr= - 45*m.b427 + m.x1927 <= 0)
m.c448 = Constraint(expr= - 45*m.b428 + m.x1928 <= 0)
m.c449 = Constraint(expr= - 45*m.b429 + m.x1929 <= 0)
m.c450 = Constraint(expr= - 45*m.b430 + m.x1930 <= 0)
m.c451 = Constraint(expr= - 45*m.b431 + m.x1931 <= 0)
m.c452 = Constraint(expr= - 45*m.b432 + m.x1932 <= 0)
m.c453 = Constraint(expr= - 45*m.b433 + m.x1933 <= 0)
m.c454 = Constraint(expr= - 45*m.b434 + m.x1934 <= 0)
m.c455 = Constraint(expr= - 45*m.b435 + m.x1935 <= 0)
m.c456 = Constraint(expr= - 45*m.b436 + m.x1936 <= 0)
m.c457 = Constraint(expr= - 45*m.b437 + m.x1937 <= 0)
m.c458 = Constraint(expr= - 45*m.b438 + m.x1938 <= 0)
m.c459 = Constraint(expr= - 45*m.b439 + m.x1939 <= 0)
m.c460 = Constraint(expr= - 45*m.b440 + m.x1940 <= 0)
m.c461 = Constraint(expr= - 45*m.b441 + m.x1941 <= 0)
m.c462 = Constraint(expr= - 45*m.b442 + m.x1942 <= 0)
m.c463 = Constraint(expr= - 45*m.b443 + m.x1943 <= 0)
m.c464 = Constraint(expr= - 45*m.b444 + m.x1944 <= 0)
m.c465 = Constraint(expr= - 45*m.b445 + m.x1945 <= 0)
m.c466 = Constraint(expr= - 45*m.b446 + m.x1946 <= 0)
m.c467 = Constraint(expr= - 45*m.b447 + m.x1947 <= 0)
m.c468 = Constraint(expr= - 45*m.b448 + m.x1948 <= 0)
m.c469 = Constraint(expr= - 45*m.b449 + m.x1949 <= 0)
m.c470 = Constraint(expr= - 45*m.b450 + m.x1950 <= 0)
m.c471 = Constraint(expr= - 45*m.b451 + m.x1951 <= 0)
m.c472 = Constraint(expr= - 45*m.b452 + m.x1952 <= 0)
m.c473 = Constraint(expr= - 45*m.b453 + m.x1953 <= 0)
m.c474 = Constraint(expr= - 45*m.b454 + m.x1954 <= 0)
m.c475 = Constraint(expr= - 45*m.b455 + m.x1955 <= 0)
m.c476 = Constraint(expr= - 45*m.b456 + m.x1956 <= 0)
m.c477 = Constraint(expr= - 45*m.b457 + m.x1957 <= 0)
m.c478 = Constraint(expr= - 45*m.b458 + m.x1958 <= 0)
m.c479 = Constraint(expr= - 45*m.b459 + m.x1959 <= 0)
m.c480 = Constraint(expr= - 45*m.b460 + m.x1960 <= 0)
m.c481 = Constraint(expr= - 45*m.b461 + m.x1961 <= 0)
m.c482 = Constraint(expr= - 45*m.b462 + m.x1962 <= 0)
m.c483 = Constraint(expr= - 45*m.b463 + m.x1963 <= 0)
m.c484 = Constraint(expr= - 45*m.b464 + m.x1964 <= 0)
m.c485 = Constraint(expr= - 45*m.b465 + m.x1965 <= 0)
m.c486 = Constraint(expr= - 45*m.b466 + m.x1966 <= 0)
m.c487 = Constraint(expr= - 45*m.b467 + m.x1967 <= 0)
m.c488 = Constraint(expr= - 45*m.b468 + m.x1968 <= 0)
m.c489 = Constraint(expr= - 45*m.b469 + m.x1969 <= 0)
m.c490 = Constraint(expr= - 45*m.b470 + m.x1970 <= 0)
m.c491 = Constraint(expr= - 45*m.b471 + m.x1971 <= 0)
m.c492 = Constraint(expr= - 45*m.b472 + m.x1972 <= 0)
m.c493 = Constraint(expr= - 45*m.b473 + m.x1973 <= 0)
m.c494 = Constraint(expr= - 45*m.b474 + m.x1974 <= 0)
m.c495 = Constraint(expr= - 45*m.b475 + m.x1975 <= 0)
m.c496 = Constraint(expr= - 45*m.b476 + m.x1976 <= 0)
m.c497 = Constraint(expr= - 45*m.b477 + m.x1977 <= 0)
m.c498 = Constraint(expr= - 45*m.b478 + m.x1978 <= 0)
m.c499 = Constraint(expr= - 45*m.b479 + m.x1979 <= 0)
m.c500 = Constraint(expr= - 45*m.b480 + m.x1980 <= 0)
m.c501 = Constraint(expr= - 45*m.b481 + m.x1981 <= 0)
m.c502 = Constraint(expr= - 45*m.b482 + m.x1982 <= 0)
m.c503 = Constraint(expr= - 45*m.b483 + m.x1983 <= 0)
m.c504 = Constraint(expr= - 45*m.b484 + m.x1984 <= 0)
m.c505 = Constraint(expr= - 45*m.b485 + m.x1985 <= 0)
m.c506 = Constraint(expr= - 45*m.b486 + m.x1986 <= 0)
m.c507 = Constraint(expr= - 45*m.b487 + m.x1987 <= 0)
m.c508 = Constraint(expr= - 45*m.b488 + m.x1988 <= 0)
m.c509 = Constraint(expr= - 45*m.b489 + m.x1989 <= 0)
m.c510 = Constraint(expr= - 45*m.b490 + m.x1990 <= 0)
m.c511 = Constraint(expr= - 45*m.b491 + m.x1991 <= 0)
m.c512 = Constraint(expr= - 45*m.b492 + m.x1992 <= 0)
m.c513 = Constraint(expr= - 45*m.b493 + m.x1993 <= 0)
m.c514 = Constraint(expr= - 45*m.b494 + m.x1994 <= 0)
m.c515 = Constraint(expr= - 45*m.b495 + m.x1995 <= 0)
m.c516 = Constraint(expr= - 45*m.b496 + m.x1996 <= 0)
m.c517 = Constraint(expr= - 45*m.b497 + m.x1997 <= 0)
m.c518 = Constraint(expr= - 45*m.b498 + m.x1998 <= 0)
m.c519 = Constraint(expr= - 45*m.b499 + m.x1999 <= 0)
m.c520 = Constraint(expr= - 45*m.b500 + m.x2000 <= 0)
m.c521 = Constraint(expr= - 45*m.b501 + m.x2001 <= 0)
m.c522 = Constraint(expr= - 45*m.b502 + m.x2002 <= 0)
m.c523 = Constraint(expr= - 45*m.b503 + m.x2003 <= 0)
m.c524 = Constraint(expr= - 45*m.b504 + m.x2004 <= 0)
m.c525 = Constraint(expr= - 45*m.b505 + m.x2005 <= 0)
m.c526 = Constraint(expr= - 45*m.b506 + m.x2006 <= 0)
m.c527 = Constraint(expr= - 45*m.b507 + m.x2007 <= 0)
m.c528 = Constraint(expr= - 45*m.b508 + m.x2008 <= 0)
m.c529 = Constraint(expr= - 45*m.b509 + m.x2009 <= 0)
m.c530 = Constraint(expr= - 45*m.b510 + m.x2010 <= 0)
m.c531 = Constraint(expr= - 45*m.b511 + m.x2011 <= 0)
m.c532 = Constraint(expr= - 45*m.b512 + m.x2012 <= 0)
m.c533 = Constraint(expr= - 45*m.b513 + m.x2013 <= 0)
m.c534 = Constraint(expr= - 45*m.b514 + m.x2014 <= 0)
m.c535 = Constraint(expr= - 45*m.b515 + m.x2015 <= 0)
m.c536 = Constraint(expr= - 45*m.b516 + m.x2016 <= 0)
m.c537 = Constraint(expr= - 45*m.b517 + m.x2017 <= 0)
m.c538 = Constraint(expr= - 45*m.b518 + m.x2018 <= 0)
m.c539 = Constraint(expr= - 45*m.b519 + m.x2019 <= 0)
m.c540 = Constraint(expr= - 45*m.b520 + m.x2020 <= 0)
m.c541 = Constraint(expr= - 45*m.b521 + m.x2021 <= 0)
m.c542 = Constraint(expr= - 45*m.b522 + m.x2022 <= 0)
m.c543 = Constraint(expr= - 45*m.b523 + m.x2023 <= 0)
m.c544 = Constraint(expr= - 45*m.b524 + m.x2024 <= 0)
m.c545 = Constraint(expr= - 45*m.b525 + m.x2025 <= 0)
m.c546 = Constraint(expr= - 45*m.b526 + m.x2026 <= 0)
m.c547 = Constraint(expr= - 45*m.b527 + m.x2027 <= 0)
m.c548 = Constraint(expr= - 45*m.b528 + m.x2028 <= 0)
m.c549 = Constraint(expr= - 45*m.b529 + m.x2029 <= 0)
m.c550 = Constraint(expr= - 45*m.b530 + m.x2030 <= 0)
m.c551 = Constraint(expr= - 45*m.b531 + m.x2031 <= 0)
m.c552 = Constraint(expr= - 45*m.b532 + m.x2032 <= 0)
m.c553 = Constraint(expr= - 45*m.b533 + m.x2033 <= 0)
m.c554 = Constraint(expr= - 45*m.b534 + m.x2034 <= 0)
m.c555 = Constraint(expr= - 45*m.b535 + m.x2035 <= 0)
m.c556 = Constraint(expr= - 45*m.b536 + m.x2036 <= 0)
m.c557 = Constraint(expr= - 45*m.b537 + m.x2037 <= 0)
m.c558 = Constraint(expr= - 45*m.b538 + m.x2038 <= 0)
m.c559 = Constraint(expr= - 45*m.b539 + m.x2039 <= 0)
m.c560 = Constraint(expr= - 45*m.b540 + m.x2040 <= 0)
m.c561 = Constraint(expr= - 45*m.b541 + m.x2041 <= 0)
m.c562 = Constraint(expr= - 45*m.b542 + m.x2042 <= 0)
m.c563 = Constraint(expr= - 45*m.b543 + m.x2043 <= 0)
m.c564 = Constraint(expr= - 45*m.b544 + m.x2044 <= 0)
m.c565 = Constraint(expr= - 45*m.b545 + m.x2045 <= 0)
m.c566 = Constraint(expr= - 45*m.b546 + m.x2046 <= 0)
m.c567 = Constraint(expr= - 45*m.b547 + m.x2047 <= 0)
m.c568 = Constraint(expr= - 45*m.b548 + m.x2048 <= 0)
m.c569 = Constraint(expr= - 45*m.b549 + m.x2049 <= 0)
m.c570 = Constraint(expr= - 45*m.b550 + m.x2050 <= 0)
m.c571 = Constraint(expr= - 45*m.b551 + m.x2051 <= 0)
m.c572 = Constraint(expr= - 45*m.b552 + m.x2052 <= 0)
m.c573 = Constraint(expr= - 45*m.b553 + m.x2053 <= 0)
m.c574 = Constraint(expr= - 45*m.b554 + m.x2054 <= 0)
m.c575 = Constraint(expr= - 45*m.b555 + m.x2055 <= 0)
m.c576 = Constraint(expr= - 45*m.b556 + m.x2056 <= 0)
m.c577 = Constraint(expr= - 45*m.b557 + m.x2057 <= 0)
m.c578 = Constraint(expr= - 45*m.b558 + m.x2058 <= 0)
m.c579 = Constraint(expr= - 45*m.b559 + m.x2059 <= 0)
m.c580 = Constraint(expr= - 45*m.b560 + m.x2060 <= 0)
m.c581 = Constraint(expr= - 45*m.b561 + m.x2061 <= 0)
m.c582 = Constraint(expr= - 45*m.b562 + m.x2062 <= 0)
m.c583 = Constraint(expr= - 45*m.b563 + m.x2063 <= 0)
m.c584 = Constraint(expr= - 45*m.b564 + m.x2064 <= 0)
m.c585 = Constraint(expr= - 45*m.b565 + m.x2065 <= 0)
m.c586 = Constraint(expr= - 45*m.b566 + m.x2066 <= 0)
m.c587 = Constraint(expr= - 45*m.b567 + m.x2067 <= 0)
m.c588 = Constraint(expr= - 45*m.b568 + m.x2068 <= 0)
m.c589 = Constraint(expr= - 45*m.b569 + m.x2069 <= 0)
m.c590 = Constraint(expr= - 45*m.b570 + m.x2070 <= 0)
m.c591 = Constraint(expr= - 45*m.b571 + m.x2071 <= 0)
m.c592 = Constraint(expr= - 45*m.b572 + m.x2072 <= 0)
m.c593 = Constraint(expr= - 45*m.b573 + m.x2073 <= 0)
m.c594 = Constraint(expr= - 45*m.b574 + m.x2074 <= 0)
m.c595 = Constraint(expr= - 45*m.b575 + m.x2075 <= 0)
m.c596 = Constraint(expr= - 45*m.b576 + m.x2076 <= 0)
m.c597 = Constraint(expr= - 45*m.b577 + m.x2077 <= 0)
m.c598 = Constraint(expr= - 45*m.b578 + m.x2078 <= 0)
m.c599 = Constraint(expr= - 45*m.b579 + m.x2079 <= 0)
m.c600 = Constraint(expr= - 45*m.b580 + m.x2080 <= 0)
m.c601 = Constraint(expr= - 45*m.b581 + m.x2081 <= 0)
m.c602 = Constraint(expr= - 45*m.b582 + m.x2082 <= 0)
m.c603 = Constraint(expr= - 45*m.b583 + m.x2083 <= 0)
m.c604 = Constraint(expr= - 45*m.b584 + m.x2084 <= 0)
m.c605 = Constraint(expr= - 45*m.b585 + m.x2085 <= 0)
m.c606 = Constraint(expr= - 45*m.b586 + m.x2086 <= 0)
m.c607 = Constraint(expr= - 45*m.b587 + m.x2087 <= 0)
m.c608 = Constraint(expr= - 45*m.b588 + m.x2088 <= 0)
m.c609 = Constraint(expr= - 45*m.b589 + m.x2089 <= 0)
m.c610 = Constraint(expr= - 45*m.b590 + m.x2090 <= 0)
m.c611 = Constraint(expr= - 45*m.b591 + m.x2091 <= 0)
m.c612 = Constraint(expr= - 45*m.b592 + m.x2092 <= 0)
m.c613 = Constraint(expr= - 45*m.b593 + m.x2093 <= 0)
m.c614 = Constraint(expr= - 45*m.b594 + m.x2094 <= 0)
m.c615 = Constraint(expr= - 45*m.b595 + m.x2095 <= 0)
m.c616 = Constraint(expr= - 45*m.b596 + m.x2096 <= 0)
m.c617 = Constraint(expr= - 45*m.b597 + m.x2097 <= 0)
m.c618 = Constraint(expr= - 45*m.b598 + m.x2098 <= 0)
m.c619 = Constraint(expr= - 45*m.b599 + m.x2099 <= 0)
m.c620 = Constraint(expr= - 45*m.b600 + m.x2100 <= 0)
m.c621 = Constraint(expr= - 45*m.b601 + m.x2101 <= 0)
m.c622 = Constraint(expr= - 45*m.b602 + m.x2102 <= 0)
m.c623 = Constraint(expr= - 45*m.b603 + m.x2103 <= 0)
m.c624 = Constraint(expr= - 45*m.b604 + m.x2104 <= 0)
m.c625 = Constraint(expr= - 45*m.b605 + m.x2105 <= 0)
m.c626 = Constraint(expr= - 45*m.b606 + m.x2106 <= 0)
m.c627 = Constraint(expr= - 45*m.b607 + m.x2107 <= 0)
m.c628 = Constraint(expr= - 45*m.b608 + m.x2108 <= 0)
m.c629 = Constraint(expr= - 45*m.b609 + m.x2109 <= 0)
m.c630 = Constraint(expr= - 45*m.b610 + m.x2110 <= 0)
m.c631 = Constraint(expr= - 45*m.b611 + m.x2111 <= 0)
m.c632 = Constraint(expr= - 45*m.b612 + m.x2112 <= 0)
m.c633 = Constraint(expr= - 45*m.b613 + m.x2113 <= 0)
m.c634 = Constraint(expr= - 45*m.b614 + m.x2114 <= 0)
m.c635 = Constraint(expr= - 45*m.b615 + m.x2115 <= 0)
m.c636 = Constraint(expr= - 45*m.b616 + m.x2116 <= 0)
m.c637 = Constraint(expr= - 45*m.b617 + m.x2117 <= 0)
m.c638 = Constraint(expr= - 45*m.b618 + m.x2118 <= 0)
m.c639 = Constraint(expr= - 45*m.b619 + m.x2119 <= 0)
m.c640 = Constraint(expr= - 45*m.b620 + m.x2120 <= 0)
m.c641 = Constraint(expr= - 45*m.b621 + m.x2121 <= 0)
m.c642 = Constraint(expr= - 45*m.b622 + m.x2122 <= 0)
m.c643 = Constraint(expr= - 45*m.b623 + m.x2123 <= 0)
m.c644 = Constraint(expr= - 45*m.b624 + m.x2124 <= 0)
m.c645 = Constraint(expr= - 45*m.b625 + m.x2125 <= 0)
m.c646 = Constraint(expr= - 45*m.b626 + m.x2126 <= 0)
m.c647 = Constraint(expr= - 45*m.b627 + m.x2127 <= 0)
m.c648 = Constraint(expr= - 45*m.b628 + m.x2128 <= 0)
m.c649 = Constraint(expr= - 45*m.b629 + m.x2129 <= 0)
m.c650 = Constraint(expr= - 45*m.b630 + m.x2130 <= 0)
m.c651 = Constraint(expr= - 45*m.b631 + m.x2131 <= 0)
m.c652 = Constraint(expr= - 45*m.b632 + m.x2132 <= 0)
m.c653 = Constraint(expr= - 45*m.b633 + m.x2133 <= 0)
m.c654 = Constraint(expr= - 45*m.b634 + m.x2134 <= 0)
m.c655 = Constraint(expr= - 45*m.b635 + m.x2135 <= 0)
m.c656 = Constraint(expr= - 45*m.b636 + m.x2136 <= 0)
m.c657 = Constraint(expr= - 45*m.b637 + m.x2137 <= 0)
m.c658 = Constraint(expr= - 45*m.b638 + m.x2138 <= 0)
m.c659 = Constraint(expr= - 45*m.b639 + m.x2139 <= 0)
m.c660 = Constraint(expr= - 45*m.b640 + m.x2140 <= 0)
m.c661 = Constraint(expr= - 45*m.b641 + m.x2141 <= 0)
m.c662 = Constraint(expr= - 45*m.b642 + m.x2142 <= 0)
m.c663 = Constraint(expr= - 45*m.b643 + m.x2143 <= 0)
m.c664 = Constraint(expr= - 45*m.b644 + m.x2144 <= 0)
m.c665 = Constraint(expr= - 45*m.b645 + m.x2145 <= 0)
m.c666 = Constraint(expr= - 45*m.b646 + m.x2146 <= 0)
m.c667 = Constraint(expr= - 45*m.b647 + m.x2147 <= 0)
m.c668 = Constraint(expr= - 45*m.b648 + m.x2148 <= 0)
m.c669 = Constraint(expr= - 45*m.b649 + m.x2149 <= 0)
m.c670 = Constraint(expr= - 45*m.b650 + m.x2150 <= 0)
m.c671 = Constraint(expr= - 45*m.b651 + m.x2151 <= 0)
m.c672 = Constraint(expr= - 45*m.b652 + m.x2152 <= 0)
m.c673 = Constraint(expr= - 45*m.b653 + m.x2153 <= 0)
m.c674 = Constraint(expr= - 45*m.b654 + m.x2154 <= 0)
m.c675 = Constraint(expr= - 45*m.b655 + m.x2155 <= 0)
m.c676 = Constraint(expr= - 45*m.b656 + m.x2156 <= 0)
m.c677 = Constraint(expr= - 45*m.b657 + m.x2157 <= 0)
m.c678 = Constraint(expr= - 45*m.b658 + m.x2158 <= 0)
m.c679 = Constraint(expr= - 45*m.b659 + m.x2159 <= 0)
m.c680 = Constraint(expr= - 45*m.b660 + m.x2160 <= 0)
m.c681 = Constraint(expr= - 45*m.b661 + m.x2161 <= 0)
m.c682 = Constraint(expr= - 45*m.b662 + m.x2162 <= 0)
m.c683 = Constraint(expr= - 45*m.b663 + m.x2163 <= 0)
m.c684 = Constraint(expr= - 45*m.b664 + m.x2164 <= 0)
m.c685 = Constraint(expr= - 45*m.b665 + m.x2165 <= 0)
m.c686 = Constraint(expr= - 45*m.b666 + m.x2166 <= 0)
m.c687 = Constraint(expr= - 45*m.b667 + m.x2167 <= 0)
m.c688 = Constraint(expr= - 45*m.b668 + m.x2168 <= 0)
m.c689 = Constraint(expr= - 45*m.b669 + m.x2169 <= 0)
m.c690 = Constraint(expr= - 45*m.b670 + m.x2170 <= 0)
m.c691 = Constraint(expr= - 45*m.b671 + m.x2171 <= 0)
m.c692 = Constraint(expr= - 45*m.b672 + m.x2172 <= 0)
m.c693 = Constraint(expr= - 45*m.b673 + m.x2173 <= 0)
m.c694 = Constraint(expr= - 45*m.b674 + m.x2174 <= 0)
m.c695 = Constraint(expr= - 45*m.b675 + m.x2175 <= 0)
m.c696 = Constraint(expr= - 45*m.b676 + m.x2176 <= 0)
m.c697 = Constraint(expr= - 45*m.b677 + m.x2177 <= 0)
m.c698 = Constraint(expr= - 45*m.b678 + m.x2178 <= 0)
m.c699 = Constraint(expr= - 45*m.b679 + m.x2179 <= 0)
m.c700 = Constraint(expr= - 45*m.b680 + m.x2180 <= 0)
m.c701 = Constraint(expr= - 45*m.b681 + m.x2181 <= 0)
m.c702 = Constraint(expr= - 45*m.b682 + m.x2182 <= 0)
m.c703 = Constraint(expr= - 45*m.b683 + m.x2183 <= 0)
m.c704 = Constraint(expr= - 45*m.b684 + m.x2184 <= 0)
m.c705 = Constraint(expr= - 45*m.b685 + m.x2185 <= 0)
m.c706 = Constraint(expr= - 45*m.b686 + m.x2186 <= 0)
m.c707 = Constraint(expr= - 45*m.b687 + m.x2187 <= 0)
m.c708 = Constraint(expr= - 45*m.b688 + m.x2188 <= 0)
m.c709 = Constraint(expr= - 45*m.b689 + m.x2189 <= 0)
m.c710 = Constraint(expr= - 45*m.b690 + m.x2190 <= 0)
m.c711 = Constraint(expr= - 45*m.b691 + m.x2191 <= 0)
m.c712 = Constraint(expr= - 45*m.b692 + m.x2192 <= 0)
m.c713 = Constraint(expr= - 45*m.b693 + m.x2193 <= 0)
m.c714 = Constraint(expr= - 45*m.b694 + m.x2194 <= 0)
m.c715 = Constraint(expr= - 45*m.b695 + m.x2195 <= 0)
m.c716 = Constraint(expr= - 45*m.b696 + m.x2196 <= 0)
m.c717 = Constraint(expr= - 45*m.b697 + m.x2197 <= 0)
m.c718 = Constraint(expr= - 45*m.b698 + m.x2198 <= 0)
m.c719 = Constraint(expr= - 45*m.b699 + m.x2199 <= 0)
m.c720 = Constraint(expr= - 45*m.b700 + m.x2200 <= 0)
m.c721 = Constraint(expr= - 45*m.b701 + m.x2201 <= 0)
m.c722 = Constraint(expr= - 45*m.b702 + m.x2202 <= 0)
m.c723 = Constraint(expr= - 45*m.b703 + m.x2203 <= 0)
m.c724 = Constraint(expr= - 45*m.b704 + m.x2204 <= 0)
m.c725 = Constraint(expr= - 45*m.b705 + m.x2205 <= 0)
m.c726 = Constraint(expr= - 45*m.b706 + m.x2206 <= 0)
m.c727 = Constraint(expr= - 45*m.b707 + m.x2207 <= 0)
m.c728 = Constraint(expr= - 45*m.b708 + m.x2208 <= 0)
m.c729 = Constraint(expr= - 45*m.b709 + m.x2209 <= 0)
m.c730 = Constraint(expr= - 45*m.b710 + m.x2210 <= 0)
m.c731 = Constraint(expr= - 45*m.b711 + m.x2211 <= 0)
m.c732 = Constraint(expr= - 45*m.b712 + m.x2212 <= 0)
m.c733 = Constraint(expr= - 45*m.b713 + m.x2213 <= 0)
m.c734 = Constraint(expr= - 45*m.b714 + m.x2214 <= 0)
m.c735 = Constraint(expr= - 45*m.b715 + m.x2215 <= 0)
m.c736 = Constraint(expr= - 45*m.b716 + m.x2216 <= 0)
m.c737 = Constraint(expr= - 45*m.b717 + m.x2217 <= 0)
m.c738 = Constraint(expr= - 45*m.b718 + m.x2218 <= 0)
m.c739 = Constraint(expr= - 45*m.b719 + m.x2219 <= 0)
m.c740 = Constraint(expr= - 45*m.b720 + m.x2220 <= 0)
m.c741 = Constraint(expr= - 45*m.b721 + m.x2221 <= 0)
m.c742 = Constraint(expr= - 45*m.b722 + m.x2222 <= 0)
m.c743 = Constraint(expr= - 45*m.b723 + m.x2223 <= 0)
m.c744 = Constraint(expr= - 45*m.b724 + m.x2224 <= 0)
m.c745 = Constraint(expr= - 45*m.b725 + m.x2225 <= 0)
m.c746 = Constraint(expr= - 45*m.b726 + m.x2226 <= 0)
m.c747 = Constraint(expr= - 45*m.b727 + m.x2227 <= 0)
m.c748 = Constraint(expr= - 45*m.b728 + m.x2228 <= 0)
m.c749 = Constraint(expr= - 45*m.b729 + m.x2229 <= 0)
m.c750 = Constraint(expr= - 45*m.b730 + m.x2230 <= 0)
m.c751 = Constraint(expr= - 45*m.b731 + m.x2231 <= 0)
m.c752 = Constraint(expr= - 45*m.b732 + m.x2232 <= 0)
m.c753 = Constraint(expr= - 45*m.b733 + m.x2233 <= 0)
m.c754 = Constraint(expr= - 45*m.b734 + m.x2234 <= 0)
m.c755 = Constraint(expr= - 45*m.b735 + m.x2235 <= 0)
m.c756 = Constraint(expr= - 45*m.b736 + m.x2236 <= 0)
m.c757 = Constraint(expr= - 45*m.b737 + m.x2237 <= 0)
m.c758 = Constraint(expr= - 45*m.b738 + m.x2238 <= 0)
m.c759 = Constraint(expr= - 45*m.b739 + m.x2239 <= 0)
m.c760 = Constraint(expr= - 45*m.b740 + m.x2240 <= 0)
m.c761 = Constraint(expr= - 45*m.b741 + m.x2241 <= 0)
m.c762 = Constraint(expr= - 45*m.b742 + m.x2242 <= 0)
m.c763 = Constraint(expr= - 45*m.b743 + m.x2243 <= 0)
m.c764 = Constraint(expr= - 45*m.b744 + m.x2244 <= 0)
m.c765 = Constraint(expr= - 45*m.b745 + m.x2245 <= 0)
m.c766 = Constraint(expr= - 45*m.b746 + m.x2246 <= 0)
m.c767 = Constraint(expr= - 45*m.b747 + m.x2247 <= 0)
m.c768 = Constraint(expr= - 45*m.b748 + m.x2248 <= 0)
m.c769 = Constraint(expr= - 45*m.b749 + m.x2249 <= 0)
m.c770 = Constraint(expr= - 45*m.b750 + m.x2250 <= 0)
m.c771 = Constraint(expr= - 45*m.b751 + m.x2251 <= 0)
m.c772 = Constraint(expr= - 45*m.b752 + m.x2252 <= 0)
m.c773 = Constraint(expr= - 45*m.b753 + m.x2253 <= 0)
m.c774 = Constraint(expr= - 45*m.b754 + m.x2254 <= 0)
m.c775 = Constraint(expr= - 45*m.b755 + m.x2255 <= 0)
m.c776 = Constraint(expr= - 45*m.b756 + m.x2256 <= 0)
m.c777 = Constraint(expr= - 45*m.b757 + m.x2257 <= 0)
m.c778 = Constraint(expr= - 45*m.b758 + m.x2258 <= 0)
m.c779 = Constraint(expr= - 45*m.b759 + m.x2259 <= 0)
m.c780 = Constraint(expr= - 45*m.b760 + m.x2260 <= 0)
m.c781 = Constraint(expr= - 45*m.b761 + m.x2261 <= 0)
m.c782 = Constraint(expr= - 45*m.b762 + m.x2262 <= 0)
m.c783 = Constraint(expr= - 45*m.b763 + m.x2263 <= 0)
m.c784 = Constraint(expr= - 45*m.b764 + m.x2264 <= 0)
m.c785 = Constraint(expr= - 45*m.b765 + m.x2265 <= 0)
m.c786 = Constraint(expr= - 45*m.b766 + m.x2266 <= 0)
m.c787 = Constraint(expr= - 45*m.b767 + m.x2267 <= 0)
m.c788 = Constraint(expr= - 45*m.b768 + m.x2268 <= 0)
m.c789 = Constraint(expr= - 45*m.b769 + m.x2269 <= 0)
m.c790 = Constraint(expr= - 45*m.b770 + m.x2270 <= 0)
m.c791 = Constraint(expr= - 45*m.b771 + m.x2271 <= 0)
m.c792 = Constraint(expr= - 45*m.b772 + m.x2272 <= 0)
m.c793 = Constraint(expr= - 45*m.b773 + m.x2273 <= 0)
m.c794 = Constraint(expr= - 45*m.b774 + m.x2274 <= 0)
m.c795 = Constraint(expr= - 45*m.b775 + m.x2275 <= 0)
m.c796 = Constraint(expr= - 45*m.b776 + m.x2276 <= 0)
m.c797 = Constraint(expr= - 45*m.b777 + m.x2277 <= 0)
m.c798 = Constraint(expr= - 45*m.b778 + m.x2278 <= 0)
m.c799 = Constraint(expr= - 45*m.b779 + m.x2279 <= 0)
m.c800 = Constraint(expr= - 45*m.b780 + m.x2280 <= 0)
m.c801 = Constraint(expr= - 45*m.b781 + m.x2281 <= 0)
m.c802 = Constraint(expr= - 45*m.b782 + m.x2282 <= 0)
m.c803 = Constraint(expr= - 45*m.b783 + m.x2283 <= 0)
m.c804 = Constraint(expr= - 45*m.b784 + m.x2284 <= 0)
m.c805 = Constraint(expr= - 45*m.b785 + m.x2285 <= 0)
m.c806 = Constraint(expr= - 45*m.b786 + m.x2286 <= 0)
m.c807 = Constraint(expr= - 45*m.b787 + m.x2287 <= 0)
m.c808 = Constraint(expr= - 45*m.b788 + m.x2288 <= 0)
m.c809 = Constraint(expr= - 45*m.b789 + m.x2289 <= 0)
m.c810 = Constraint(expr= - 45*m.b790 + m.x2290 <= 0)
m.c811 = Constraint(expr= - 45*m.b791 + m.x2291 <= 0)
m.c812 = Constraint(expr= - 45*m.b792 + m.x2292 <= 0)
m.c813 = Constraint(expr= - 45*m.b793 + m.x2293 <= 0)
m.c814 = Constraint(expr= - 45*m.b794 + m.x2294 <= 0)
m.c815 = Constraint(expr= - 45*m.b795 + m.x2295 <= 0)
m.c816 = Constraint(expr= - 45*m.b796 + m.x2296 <= 0)
m.c817 = Constraint(expr= - 45*m.b797 + m.x2297 <= 0)
m.c818 = Constraint(expr= - 45*m.b798 + m.x2298 <= 0)
m.c819 = Constraint(expr= - 45*m.b799 + m.x2299 <= 0)
m.c820 = Constraint(expr= - 45*m.b800 + m.x2300 <= 0)
m.c821 = Constraint(expr= - 45*m.b801 + m.x2301 <= 0)
m.c822 = Constraint(expr= - 45*m.b802 + m.x2302 <= 0)
m.c823 = Constraint(expr= - 45*m.b803 + m.x2303 <= 0)
m.c824 = Constraint(expr= - 45*m.b804 + m.x2304 <= 0)
m.c825 = Constraint(expr= - 45*m.b805 + m.x2305 <= 0)
m.c826 = Constraint(expr= - 45*m.b806 + m.x2306 <= 0)
m.c827 = Constraint(expr= - 45*m.b807 + m.x2307 <= 0)
m.c828 = Constraint(expr= - 45*m.b808 + m.x2308 <= 0)
m.c829 = Constraint(expr= - 45*m.b809 + m.x2309 <= 0)
m.c830 = Constraint(expr= - 45*m.b810 + m.x2310 <= 0)
m.c831 = Constraint(expr= - 45*m.b811 + m.x2311 <= 0)
m.c832 = Constraint(expr= - 45*m.b812 + m.x2312 <= 0)
m.c833 = Constraint(expr= - 45*m.b813 + m.x2313 <= 0)
m.c834 = Constraint(expr= - 45*m.b814 + m.x2314 <= 0)
m.c835 = Constraint(expr= - 45*m.b815 + m.x2315 <= 0)
m.c836 = Constraint(expr= - 45*m.b816 + m.x2316 <= 0)
m.c837 = Constraint(expr= - 45*m.b817 + m.x2317 <= 0)
m.c838 = Constraint(expr= - 45*m.b818 + m.x2318 <= 0)
m.c839 = Constraint(expr= - 45*m.b819 + m.x2319 <= 0)
m.c840 = Constraint(expr= - 45*m.b820 + m.x2320 <= 0)
m.c841 = Constraint(expr= - 45*m.b821 + m.x2321 <= 0)
m.c842 = Constraint(expr= - 45*m.b822 + m.x2322 <= 0)
m.c843 = Constraint(expr= - 45*m.b823 + m.x2323 <= 0)
m.c844 = Constraint(expr= - 45*m.b824 + m.x2324 <= 0)
m.c845 = Constraint(expr= - 45*m.b825 + m.x2325 <= 0)
m.c846 = Constraint(expr= - 45*m.b826 + m.x2326 <= 0)
m.c847 = Constraint(expr= - 45*m.b827 + m.x2327 <= 0)
m.c848 = Constraint(expr= - 45*m.b828 + m.x2328 <= 0)
m.c849 = Constraint(expr= - 45*m.b829 + m.x2329 <= 0)
m.c850 = Constraint(expr= - 45*m.b830 + m.x2330 <= 0)
m.c851 = Constraint(expr= - 45*m.b831 + m.x2331 <= 0)
m.c852 = Constraint(expr= - 45*m.b832 + m.x2332 <= 0)
m.c853 = Constraint(expr= - 45*m.b833 + m.x2333 <= 0)
m.c854 = Constraint(expr= - 45*m.b834 + m.x2334 <= 0)
m.c855 = Constraint(expr= - 45*m.b835 + m.x2335 <= 0)
m.c856 = Constraint(expr= - 45*m.b836 + m.x2336 <= 0)
m.c857 = Constraint(expr= - 45*m.b837 + m.x2337 <= 0)
m.c858 = Constraint(expr= - 45*m.b838 + m.x2338 <= 0)
m.c859 = Constraint(expr= - 45*m.b839 + m.x2339 <= 0)
m.c860 = Constraint(expr= - 45*m.b840 + m.x2340 <= 0)
m.c861 = Constraint(expr= - 45*m.b841 + m.x2341 <= 0)
m.c862 = Constraint(expr= - 45*m.b842 + m.x2342 <= 0)
m.c863 = Constraint(expr= - 45*m.b843 + m.x2343 <= 0)
m.c864 = Constraint(expr= - 45*m.b844 + m.x2344 <= 0)
m.c865 = Constraint(expr= - 45*m.b845 + m.x2345 <= 0)
m.c866 = Constraint(expr= - 45*m.b846 + m.x2346 <= 0)
m.c867 = Constraint(expr= - 45*m.b847 + m.x2347 <= 0)
m.c868 = Constraint(expr= - 45*m.b848 + m.x2348 <= 0)
m.c869 = Constraint(expr= - 45*m.b849 + m.x2349 <= 0)
m.c870 = Constraint(expr= - 45*m.b850 + m.x2350 <= 0)
m.c871 = Constraint(expr= - 45*m.b851 + m.x2351 <= 0)
m.c872 = Constraint(expr= - 45*m.b852 + m.x2352 <= 0)
m.c873 = Constraint(expr= - 45*m.b853 + m.x2353 <= 0)
m.c874 = Constraint(expr= - 45*m.b854 + m.x2354 <= 0)
m.c875 = Constraint(expr= - 45*m.b855 + m.x2355 <= 0)
m.c876 = Constraint(expr= - 45*m.b856 + m.x2356 <= 0)
m.c877 = Constraint(expr= - 45*m.b857 + m.x2357 <= 0)
m.c878 = Constraint(expr= - 45*m.b858 + m.x2358 <= 0)
m.c879 = Constraint(expr= - 45*m.b859 + m.x2359 <= 0)
m.c880 = Constraint(expr= - 45*m.b860 + m.x2360 <= 0)
m.c881 = Constraint(expr= - 45*m.b861 + m.x2361 <= 0)
m.c882 = Constraint(expr= - 45*m.b862 + m.x2362 <= 0)
m.c883 = Constraint(expr= - 45*m.b863 + m.x2363 <= 0)
m.c884 = Constraint(expr= - 45*m.b864 + m.x2364 <= 0)
m.c885 = Constraint(expr= - 45*m.b865 + m.x2365 <= 0)
m.c886 = Constraint(expr= - 45*m.b866 + m.x2366 <= 0)
m.c887 = Constraint(expr= - 45*m.b867 + m.x2367 <= 0)
m.c888 = Constraint(expr= - 45*m.b868 + m.x2368 <= 0)
m.c889 = Constraint(expr= - 45*m.b869 + m.x2369 <= 0)
m.c890 = Constraint(expr= - 45*m.b870 + m.x2370 <= 0)
m.c891 = Constraint(expr= - 45*m.b871 + m.x2371 <= 0)
m.c892 = Constraint(expr= - 45*m.b872 + m.x2372 <= 0)
m.c893 = Constraint(expr= - 45*m.b873 + m.x2373 <= 0)
m.c894 = Constraint(expr= - 45*m.b874 + m.x2374 <= 0)
m.c895 = Constraint(expr= - 45*m.b875 + m.x2375 <= 0)
m.c896 = Constraint(expr= - 45*m.b876 + m.x2376 <= 0)
m.c897 = Constraint(expr= - 45*m.b877 + m.x2377 <= 0)
m.c898 = Constraint(expr= - 45*m.b878 + m.x2378 <= 0)
m.c899 = Constraint(expr= - 45*m.b879 + m.x2379 <= 0)
m.c900 = Constraint(expr= - 45*m.b880 + m.x2380 <= 0)
m.c901 = Constraint(expr= - 45*m.b881 + m.x2381 <= 0)
m.c902 = Constraint(expr= - 45*m.b882 + m.x2382 <= 0)
m.c903 = Constraint(expr= - 45*m.b883 + m.x2383 <= 0)
m.c904 = Constraint(expr= - 45*m.b884 + m.x2384 <= 0)
m.c905 = Constraint(expr= - 45*m.b885 + m.x2385 <= 0)
m.c906 = Constraint(expr= - 45*m.b886 + m.x2386 <= 0)
m.c907 = Constraint(expr= - 45*m.b887 + m.x2387 <= 0)
m.c908 = Constraint(expr= - 45*m.b888 + m.x2388 <= 0)
m.c909 = Constraint(expr= - 45*m.b889 + m.x2389 <= 0)
m.c910 = Constraint(expr= - 45*m.b890 + m.x2390 <= 0)
m.c911 = Constraint(expr= - 45*m.b891 + m.x2391 <= 0)
m.c912 = Constraint(expr= - 45*m.b892 + m.x2392 <= 0)
m.c913 = Constraint(expr= - 45*m.b893 + m.x2393 <= 0)
m.c914 = Constraint(expr= - 45*m.b894 + m.x2394 <= 0)
m.c915 = Constraint(expr= - 45*m.b895 + m.x2395 <= 0)
m.c916 = Constraint(expr= - 45*m.b896 + m.x2396 <= 0)
m.c917 = Constraint(expr= - 45*m.b897 + m.x2397 <= 0)
m.c918 = Constraint(expr= - 45*m.b898 + m.x2398 <= 0)
m.c919 = Constraint(expr= - 45*m.b899 + m.x2399 <= 0)
m.c920 = Constraint(expr= - 45*m.b900 + m.x2400 <= 0)
m.c921 = Constraint(expr= - 45*m.b901 + m.x2401 <= 0)
m.c922 = Constraint(expr= - 45*m.b902 + m.x2402 <= 0)
m.c923 = Constraint(expr= - 45*m.b903 + m.x2403 <= 0)
m.c924 = Constraint(expr= - 45*m.b904 + m.x2404 <= 0)
m.c925 = Constraint(expr= - 45*m.b905 + m.x2405 <= 0)
m.c926 = Constraint(expr= - 45*m.b906 + m.x2406 <= 0)
m.c927 = Constraint(expr= - 45*m.b907 + m.x2407 <= 0)
m.c928 = Constraint(expr= - 45*m.b908 + m.x2408 <= 0)
m.c929 = Constraint(expr= - 45*m.b909 + m.x2409 <= 0)
m.c930 = Constraint(expr= - 45*m.b910 + m.x2410 <= 0)
m.c931 = Constraint(expr= - 45*m.b911 + m.x2411 <= 0)
m.c932 = Constraint(expr= - 45*m.b912 + m.x2412 <= 0)
m.c933 = Constraint(expr= - 45*m.b913 + m.x2413 <= 0)
m.c934 = Constraint(expr= - 45*m.b914 + m.x2414 <= 0)
m.c935 = Constraint(expr= - 45*m.b915 + m.x2415 <= 0)
m.c936 = Constraint(expr= - 45*m.b916 + m.x2416 <= 0)
m.c937 = Constraint(expr= - 45*m.b917 + m.x2417 <= 0)
m.c938 = Constraint(expr= - 45*m.b918 + m.x2418 <= 0)
m.c939 = Constraint(expr= - 45*m.b919 + m.x2419 <= 0)
m.c940 = Constraint(expr= - 45*m.b920 + m.x2420 <= 0)
m.c941 = Constraint(expr= - 45*m.b921 + m.x2421 <= 0)
m.c942 = Constraint(expr= - 45*m.b922 + m.x2422 <= 0)
m.c943 = Constraint(expr= - 45*m.b923 + m.x2423 <= 0)
m.c944 = Constraint(expr= - 45*m.b924 + m.x2424 <= 0)
m.c945 = Constraint(expr= - 45*m.b925 + m.x2425 <= 0)
m.c946 = Constraint(expr= - 45*m.b926 + m.x2426 <= 0)
m.c947 = Constraint(expr= - 45*m.b927 + m.x2427 <= 0)
m.c948 = Constraint(expr= - 45*m.b928 + m.x2428 <= 0)
m.c949 = Constraint(expr= - 45*m.b929 + m.x2429 <= 0)
m.c950 = Constraint(expr= - 45*m.b930 + m.x2430 <= 0)
m.c951 = Constraint(expr= - 45*m.b931 + m.x2431 <= 0)
m.c952 = Constraint(expr= - 45*m.b932 + m.x2432 <= 0)
m.c953 = Constraint(expr= - 45*m.b933 + m.x2433 <= 0)
m.c954 = Constraint(expr= - 45*m.b934 + m.x2434 <= 0)
m.c955 = Constraint(expr= - 45*m.b935 + m.x2435 <= 0)
m.c956 = Constraint(expr= - 45*m.b936 + m.x2436 <= 0)
m.c957 = Constraint(expr= - 45*m.b937 + m.x2437 <= 0)
m.c958 = Constraint(expr= - 45*m.b938 + m.x2438 <= 0)
m.c959 = Constraint(expr= - 45*m.b939 + m.x2439 <= 0)
m.c960 = Constraint(expr= - 45*m.b940 + m.x2440 <= 0)
m.c961 = Constraint(expr= - 45*m.b941 + m.x2441 <= 0)
m.c962 = Constraint(expr= - 45*m.b942 + m.x2442 <= 0)
m.c963 = Constraint(expr= - 45*m.b943 + m.x2443 <= 0)
m.c964 = Constraint(expr= - 45*m.b944 + m.x2444 <= 0)
m.c965 = Constraint(expr= - 45*m.b945 + m.x2445 <= 0)
m.c966 = Constraint(expr= - 45*m.b946 + m.x2446 <= 0)
m.c967 = Constraint(expr= - 45*m.b947 + m.x2447 <= 0)
m.c968 = Constraint(expr= - 45*m.b948 + m.x2448 <= 0)
m.c969 = Constraint(expr= - 45*m.b949 + m.x2449 <= 0)
m.c970 = Constraint(expr= - 45*m.b950 + m.x2450 <= 0)
m.c971 = Constraint(expr= - 45*m.b951 + m.x2451 <= 0)
m.c972 = Constraint(expr= - 45*m.b952 + m.x2452 <= 0)
m.c973 = Constraint(expr= - 45*m.b953 + m.x2453 <= 0)
m.c974 = Constraint(expr= - 45*m.b954 + m.x2454 <= 0)
m.c975 = Constraint(expr= - 45*m.b955 + m.x2455 <= 0)
m.c976 = Constraint(expr= - 45*m.b956 + m.x2456 <= 0)
m.c977 = Constraint(expr= - 45*m.b957 + m.x2457 <= 0)
m.c978 = Constraint(expr= - 45*m.b958 + m.x2458 <= 0)
m.c979 = Constraint(expr= - 45*m.b959 + m.x2459 <= 0)
m.c980 = Constraint(expr= - 45*m.b960 + m.x2460 <= 0)
m.c981 = Constraint(expr= - 45*m.b961 + m.x2461 <= 0)
m.c982 = Constraint(expr= - 45*m.b962 + m.x2462 <= 0)
m.c983 = Constraint(expr= - 45*m.b963 + m.x2463 <= 0)
m.c984 = Constraint(expr= - 45*m.b964 + m.x2464 <= 0)
m.c985 = Constraint(expr= - 45*m.b965 + m.x2465 <= 0)
m.c986 = Constraint(expr= - 45*m.b966 + m.x2466 <= 0)
m.c987 = Constraint(expr= - 45*m.b967 + m.x2467 <= 0)
m.c988 = Constraint(expr= - 45*m.b968 + m.x2468 <= 0)
m.c989 = Constraint(expr= - 45*m.b969 + m.x2469 <= 0)
m.c990 = Constraint(expr= - 45*m.b970 + m.x2470 <= 0)
m.c991 = Constraint(expr= - 45*m.b971 + m.x2471 <= 0)
m.c992 = Constraint(expr= - 45*m.b972 + m.x2472 <= 0)
m.c993 = Constraint(expr= - 45*m.b973 + m.x2473 <= 0)
m.c994 = Constraint(expr= - 45*m.b974 + m.x2474 <= 0)
m.c995 = Constraint(expr= - 45*m.b975 + m.x2475 <= 0)
m.c996 = Constraint(expr= - 45*m.b976 + m.x2476 <= 0)
m.c997 = Constraint(expr= - 45*m.b977 + m.x2477 <= 0)
m.c998 = Constraint(expr= - 45*m.b978 + m.x2478 <= 0)
m.c999 = Constraint(expr= - 45*m.b979 + m.x2479 <= 0)
m.c1000 = Constraint(expr= - 45*m.b980 + m.x2480 <= 0)
m.c1001 = Constraint(expr= - 45*m.b981 + m.x2481 <= 0)
m.c1002 = Constraint(expr= - 45*m.b982 + m.x2482 <= 0)
m.c1003 = Constraint(expr= - 45*m.b983 + m.x2483 <= 0)
m.c1004 = Constraint(expr= - 45*m.b984 + m.x2484 <= 0)
m.c1005 = Constraint(expr= - 45*m.b985 + m.x2485 <= 0)
m.c1006 = Constraint(expr= - 45*m.b986 + m.x2486 <= 0)
m.c1007 = Constraint(expr= - 45*m.b987 + m.x2487 <= 0)
m.c1008 = Constraint(expr= - 45*m.b988 + m.x2488 <= 0)
m.c1009 = Constraint(expr= - 45*m.b989 + m.x2489 <= 0)
m.c1010 = Constraint(expr= - 45*m.b990 + m.x2490 <= 0)
m.c1011 = Constraint(expr= - 45*m.b991 + m.x2491 <= 0)
m.c1012 = Constraint(expr= - 45*m.b992 + m.x2492 <= 0)
m.c1013 = Constraint(expr= - 45*m.b993 + m.x2493 <= 0)
m.c1014 = Constraint(expr= - 45*m.b994 + m.x2494 <= 0)
m.c1015 = Constraint(expr= - 45*m.b995 + m.x2495 <= 0)
m.c1016 = Constraint(expr= - 45*m.b996 + m.x2496 <= 0)
m.c1017 = Constraint(expr= - 45*m.b997 + m.x2497 <= 0)
m.c1018 = Constraint(expr= - 45*m.b998 + m.x2498 <= 0)
m.c1019 = Constraint(expr= - 45*m.b999 + m.x2499 <= 0)
m.c1020 = Constraint(expr= - 45*m.b1000 + m.x2500 <= 0)
m.c1021 = Constraint(expr= - 45*m.b1001 + m.x2501 <= 0)
m.c1022 = Constraint(expr= - 45*m.b1002 + m.x2502 <= 0)
m.c1023 = Constraint(expr= - 45*m.b1003 + m.x2503 <= 0)
m.c1024 = Constraint(expr= - 45*m.b1004 + m.x2504 <= 0)
m.c1025 = Constraint(expr= - 45*m.b1005 + m.x2505 <= 0)
m.c1026 = Constraint(expr= - 45*m.b1006 + m.x2506 <= 0)
m.c1027 = Constraint(expr= - 45*m.b1007 + m.x2507 <= 0)
m.c1028 = Constraint(expr= - 45*m.b1008 + m.x2508 <= 0)
m.c1029 = Constraint(expr= - 45*m.b1009 + m.x2509 <= 0)
m.c1030 = Constraint(expr= - 45*m.b1010 + m.x2510 <= 0)
m.c1031 = Constraint(expr= - 45*m.b1011 + m.x2511 <= 0)
m.c1032 = Constraint(expr= - 45*m.b1012 + m.x2512 <= 0)
m.c1033 = Constraint(expr= - 45*m.b1013 + m.x2513 <= 0)
m.c1034 = Constraint(expr= - 45*m.b1014 + m.x2514 <= 0)
m.c1035 = Constraint(expr= - 45*m.b1015 + m.x2515 <= 0)
m.c1036 = Constraint(expr= - 45*m.b1016 + m.x2516 <= 0)
m.c1037 = Constraint(expr= - 45*m.b1017 + m.x2517 <= 0)
m.c1038 = Constraint(expr= - 45*m.b1018 + m.x2518 <= 0)
m.c1039 = Constraint(expr= - 45*m.b1019 + m.x2519 <= 0)
m.c1040 = Constraint(expr= - 45*m.b1020 + m.x2520 <= 0)
m.c1041 = Constraint(expr= - 45*m.b1021 + m.x2521 <= 0)
m.c1042 = Constraint(expr= - 45*m.b1022 + m.x2522 <= 0)
m.c1043 = Constraint(expr= - 45*m.b1023 + m.x2523 <= 0)
m.c1044 = Constraint(expr= - 45*m.b1024 + m.x2524 <= 0)
m.c1045 = Constraint(expr= - 45*m.b1025 + m.x2525 <= 0)
m.c1046 = Constraint(expr= - 45*m.b1026 + m.x2526 <= 0)
m.c1047 = Constraint(expr= - 45*m.b1027 + m.x2527 <= 0)
m.c1048 = Constraint(expr= - 45*m.b1028 + m.x2528 <= 0)
m.c1049 = Constraint(expr= - 45*m.b1029 + m.x2529 <= 0)
m.c1050 = Constraint(expr= - 45*m.b1030 + m.x2530 <= 0)
m.c1051 = Constraint(expr= - 45*m.b1031 + m.x2531 <= 0)
m.c1052 = Constraint(expr= - 45*m.b1032 + m.x2532 <= 0)
m.c1053 = Constraint(expr= - 45*m.b1033 + m.x2533 <= 0)
m.c1054 = Constraint(expr= - 45*m.b1034 + m.x2534 <= 0)
m.c1055 = Constraint(expr= - 45*m.b1035 + m.x2535 <= 0)
m.c1056 = Constraint(expr= - 45*m.b1036 + m.x2536 <= 0)
m.c1057 = Constraint(expr= - 45*m.b1037 + m.x2537 <= 0)
m.c1058 = Constraint(expr= - 45*m.b1038 + m.x2538 <= 0)
m.c1059 = Constraint(expr= - 45*m.b1039 + m.x2539 <= 0)
m.c1060 = Constraint(expr= - 45*m.b1040 + m.x2540 <= 0)
m.c1061 = Constraint(expr= - 45*m.b1041 + m.x2541 <= 0)
m.c1062 = Constraint(expr= - 45*m.b1042 + m.x2542 <= 0)
m.c1063 = Constraint(expr= - 45*m.b1043 + m.x2543 <= 0)
m.c1064 = Constraint(expr= - 45*m.b1044 + m.x2544 <= 0)
m.c1065 = Constraint(expr= - 45*m.b1045 + m.x2545 <= 0)
m.c1066 = Constraint(expr= - 45*m.b1046 + m.x2546 <= 0)
m.c1067 = Constraint(expr= - 45*m.b1047 + m.x2547 <= 0)
m.c1068 = Constraint(expr= - 45*m.b1048 + m.x2548 <= 0)
m.c1069 = Constraint(expr= - 45*m.b1049 + m.x2549 <= 0)
m.c1070 = Constraint(expr= - 45*m.b1050 + m.x2550 <= 0)
m.c1071 = Constraint(expr= - 45*m.b1051 + m.x2551 <= 0)
m.c1072 = Constraint(expr= - 45*m.b1052 + m.x2552 <= 0)
m.c1073 = Constraint(expr= - 45*m.b1053 + m.x2553 <= 0)
m.c1074 = Constraint(expr= - 45*m.b1054 + m.x2554 <= 0)
m.c1075 = Constraint(expr= - 45*m.b1055 + m.x2555 <= 0)
m.c1076 = Constraint(expr= - 45*m.b1056 + m.x2556 <= 0)
m.c1077 = Constraint(expr= - 45*m.b1057 + m.x2557 <= 0)
m.c1078 = Constraint(expr= - 45*m.b1058 + m.x2558 <= 0)
m.c1079 = Constraint(expr= - 45*m.b1059 + m.x2559 <= 0)
m.c1080 = Constraint(expr= - 45*m.b1060 + m.x2560 <= 0)
m.c1081 = Constraint(expr= - 45*m.b1061 + m.x2561 <= 0)
m.c1082 = Constraint(expr= - 45*m.b1062 + m.x2562 <= 0)
m.c1083 = Constraint(expr= - 45*m.b1063 + m.x2563 <= 0)
m.c1084 = Constraint(expr= - 45*m.b1064 + m.x2564 <= 0)
m.c1085 = Constraint(expr= - 45*m.b1065 + m.x2565 <= 0)
m.c1086 = Constraint(expr= - 45*m.b1066 + m.x2566 <= 0)
m.c1087 = Constraint(expr= - 45*m.b1067 + m.x2567 <= 0)
m.c1088 = Constraint(expr= - 45*m.b1068 + m.x2568 <= 0)
m.c1089 = Constraint(expr= - 45*m.b1069 + m.x2569 <= 0)
m.c1090 = Constraint(expr= - 45*m.b1070 + m.x2570 <= 0)
m.c1091 = Constraint(expr= - 45*m.b1071 + m.x2571 <= 0)
m.c1092 = Constraint(expr= - 45*m.b1072 + m.x2572 <= 0)
m.c1093 = Constraint(expr= - 45*m.b1073 + m.x2573 <= 0)
m.c1094 = Constraint(expr= - 45*m.b1074 + m.x2574 <= 0)
m.c1095 = Constraint(expr= - 45*m.b1075 + m.x2575 <= 0)
m.c1096 = Constraint(expr= - 45*m.b1076 + m.x2576 <= 0)
m.c1097 = Constraint(expr= - 45*m.b1077 + m.x2577 <= 0)
m.c1098 = Constraint(expr= - 45*m.b1078 + m.x2578 <= 0)
m.c1099 = Constraint(expr= - 45*m.b1079 + m.x2579 <= 0)
m.c1100 = Constraint(expr= - 45*m.b1080 + m.x2580 <= 0)
m.c1101 = Constraint(expr= - 45*m.b1081 + m.x2581 <= 0)
m.c1102 = Constraint(expr= - 45*m.b1082 + m.x2582 <= 0)
m.c1103 = Constraint(expr= - 45*m.b1083 + m.x2583 <= 0)
m.c1104 = Constraint(expr= - 45*m.b1084 + m.x2584 <= 0)
m.c1105 = Constraint(expr= - 45*m.b1085 + m.x2585 <= 0)
m.c1106 = Constraint(expr= - 45*m.b1086 + m.x2586 <= 0)
m.c1107 = Constraint(expr= - 45*m.b1087 + m.x2587 <= 0)
m.c1108 = Constraint(expr= - 45*m.b1088 + m.x2588 <= 0)
m.c1109 = Constraint(expr= - 45*m.b1089 + m.x2589 <= 0)
m.c1110 = Constraint(expr= - 45*m.b1090 + m.x2590 <= 0)
m.c1111 = Constraint(expr= - 45*m.b1091 + m.x2591 <= 0)
m.c1112 = Constraint(expr= - 45*m.b1092 + m.x2592 <= 0)
m.c1113 = Constraint(expr= - 45*m.b1093 + m.x2593 <= 0)
m.c1114 = Constraint(expr= - 45*m.b1094 + m.x2594 <= 0)
m.c1115 = Constraint(expr= - 45*m.b1095 + m.x2595 <= 0)
m.c1116 = Constraint(expr= - 45*m.b1096 + m.x2596 <= 0)
m.c1117 = Constraint(expr= - 45*m.b1097 + m.x2597 <= 0)
m.c1118 = Constraint(expr= - 45*m.b1098 + m.x2598 <= 0)
m.c1119 = Constraint(expr= - 45*m.b1099 + m.x2599 <= 0)
m.c1120 = Constraint(expr= - 45*m.b1100 + m.x2600 <= 0)
m.c1121 = Constraint(expr= - 45*m.b1101 + m.x2601 <= 0)
m.c1122 = Constraint(expr= - 45*m.b1102 + m.x2602 <= 0)
m.c1123 = Constraint(expr= - 45*m.b1103 + m.x2603 <= 0)
m.c1124 = Constraint(expr= - 45*m.b1104 + m.x2604 <= 0)
m.c1125 = Constraint(expr= - 45*m.b1105 + m.x2605 <= 0)
m.c1126 = Constraint(expr= - 45*m.b1106 + m.x2606 <= 0)
m.c1127 = Constraint(expr= - 45*m.b1107 + m.x2607 <= 0)
m.c1128 = Constraint(expr= - 45*m.b1108 + m.x2608 <= 0)
m.c1129 = Constraint(expr= - 45*m.b1109 + m.x2609 <= 0)
m.c1130 = Constraint(expr= - 45*m.b1110 + m.x2610 <= 0)
m.c1131 = Constraint(expr= - 45*m.b1111 + m.x2611 <= 0)
m.c1132 = Constraint(expr= - 45*m.b1112 + m.x2612 <= 0)
m.c1133 = Constraint(expr= - 45*m.b1113 + m.x2613 <= 0)
m.c1134 = Constraint(expr= - 45*m.b1114 + m.x2614 <= 0)
m.c1135 = Constraint(expr= - 45*m.b1115 + m.x2615 <= 0)
m.c1136 = Constraint(expr= - 45*m.b1116 + m.x2616 <= 0)
m.c1137 = Constraint(expr= - 45*m.b1117 + m.x2617 <= 0)
m.c1138 = Constraint(expr= - 45*m.b1118 + m.x2618 <= 0)
m.c1139 = Constraint(expr= - 45*m.b1119 + m.x2619 <= 0)
m.c1140 = Constraint(expr= - 45*m.b1120 + m.x2620 <= 0)
m.c1141 = Constraint(expr= - 45*m.b1121 + m.x2621 <= 0)
m.c1142 = Constraint(expr= - 45*m.b1122 + m.x2622 <= 0)
m.c1143 = Constraint(expr= - 45*m.b1123 + m.x2623 <= 0)
m.c1144 = Constraint(expr= - 45*m.b1124 + m.x2624 <= 0)
m.c1145 = Constraint(expr= - 45*m.b1125 + m.x2625 <= 0)
m.c1146 = Constraint(expr= - 45*m.b1126 + m.x2626 <= 0)
m.c1147 = Constraint(expr= - 45*m.b1127 + m.x2627 <= 0)
m.c1148 = Constraint(expr= - 45*m.b1128 + m.x2628 <= 0)
m.c1149 = Constraint(expr= - 45*m.b1129 + m.x2629 <= 0)
m.c1150 = Constraint(expr= - 45*m.b1130 + m.x2630 <= 0)
m.c1151 = Constraint(expr= - 45*m.b1131 + m.x2631 <= 0)
m.c1152 = Constraint(expr= - 45*m.b1132 + m.x2632 <= 0)
m.c1153 = Constraint(expr= - 45*m.b1133 + m.x2633 <= 0)
m.c1154 = Constraint(expr= - 45*m.b1134 + m.x2634 <= 0)
m.c1155 = Constraint(expr= - 45*m.b1135 + m.x2635 <= 0)
m.c1156 = Constraint(expr= - 45*m.b1136 + m.x2636 <= 0)
m.c1157 = Constraint(expr= - 45*m.b1137 + m.x2637 <= 0)
m.c1158 = Constraint(expr= - 45*m.b1138 + m.x2638 <= 0)
m.c1159 = Constraint(expr= - 45*m.b1139 + m.x2639 <= 0)
m.c1160 = Constraint(expr= - 45*m.b1140 + m.x2640 <= 0)
m.c1161 = Constraint(expr= - 45*m.b1141 + m.x2641 <= 0)
m.c1162 = Constraint(expr= - 45*m.b1142 + m.x2642 <= 0)
m.c1163 = Constraint(expr= - 45*m.b1143 + m.x2643 <= 0)
m.c1164 = Constraint(expr= - 45*m.b1144 + m.x2644 <= 0)
m.c1165 = Constraint(expr= - 45*m.b1145 + m.x2645 <= 0)
m.c1166 = Constraint(expr= - 45*m.b1146 + m.x2646 <= 0)
m.c1167 = Constraint(expr= - 45*m.b1147 + m.x2647 <= 0)
m.c1168 = Constraint(expr= - 45*m.b1148 + m.x2648 <= 0)
m.c1169 = Constraint(expr= - 45*m.b1149 + m.x2649 <= 0)
m.c1170 = Constraint(expr= - 45*m.b1150 + m.x2650 <= 0)
m.c1171 = Constraint(expr= - 45*m.b1151 + m.x2651 <= 0)
m.c1172 = Constraint(expr= - 45*m.b1152 + m.x2652 <= 0)
m.c1173 = Constraint(expr= - 45*m.b1153 + m.x2653 <= 0)
m.c1174 = Constraint(expr= - 45*m.b1154 + m.x2654 <= 0)
m.c1175 = Constraint(expr= - 45*m.b1155 + m.x2655 <= 0)
m.c1176 = Constraint(expr= - 45*m.b1156 + m.x2656 <= 0)
m.c1177 = Constraint(expr= - 45*m.b1157 + m.x2657 <= 0)
m.c1178 = Constraint(expr= - 45*m.b1158 + m.x2658 <= 0)
m.c1179 = Constraint(expr= - 45*m.b1159 + m.x2659 <= 0)
m.c1180 = Constraint(expr= - 45*m.b1160 + m.x2660 <= 0)
m.c1181 = Constraint(expr= - 45*m.b1161 + m.x2661 <= 0)
m.c1182 = Constraint(expr= - 45*m.b1162 + m.x2662 <= 0)
m.c1183 = Constraint(expr= - 45*m.b1163 + m.x2663 <= 0)
m.c1184 = Constraint(expr= - 45*m.b1164 + m.x2664 <= 0)
m.c1185 = Constraint(expr= - 45*m.b1165 + m.x2665 <= 0)
m.c1186 = Constraint(expr= - 45*m.b1166 + m.x2666 <= 0)
m.c1187 = Constraint(expr= - 45*m.b1167 + m.x2667 <= 0)
m.c1188 = Constraint(expr= - 45*m.b1168 + m.x2668 <= 0)
m.c1189 = Constraint(expr= - 45*m.b1169 + m.x2669 <= 0)
m.c1190 = Constraint(expr= - 45*m.b1170 + m.x2670 <= 0)
m.c1191 = Constraint(expr= - 45*m.b1171 + m.x2671 <= 0)
m.c1192 = Constraint(expr= - 45*m.b1172 + m.x2672 <= 0)
m.c1193 = Constraint(expr= - 45*m.b1173 + m.x2673 <= 0)
m.c1194 = Constraint(expr= - 45*m.b1174 + m.x2674 <= 0)
m.c1195 = Constraint(expr= - 45*m.b1175 + m.x2675 <= 0)
m.c1196 = Constraint(expr= - 45*m.b1176 + m.x2676 <= 0)
m.c1197 = Constraint(expr= - 45*m.b1177 + m.x2677 <= 0)
m.c1198 = Constraint(expr= - 45*m.b1178 + m.x2678 <= 0)
m.c1199 = Constraint(expr= - 45*m.b1179 + m.x2679 <= 0)
m.c1200 = Constraint(expr= - 45*m.b1180 + m.x2680 <= 0)
m.c1201 = Constraint(expr= - 45*m.b1181 + m.x2681 <= 0)
m.c1202 = Constraint(expr= - 45*m.b1182 + m.x2682 <= 0)
m.c1203 = Constraint(expr= - 45*m.b1183 + m.x2683 <= 0)
m.c1204 = Constraint(expr= - 45*m.b1184 + m.x2684 <= 0)
m.c1205 = Constraint(expr= - 45*m.b1185 + m.x2685 <= 0)
m.c1206 = Constraint(expr= - 45*m.b1186 + m.x2686 <= 0)
m.c1207 = Constraint(expr= - 45*m.b1187 + m.x2687 <= 0)
m.c1208 = Constraint(expr= - 45*m.b1188 + m.x2688 <= 0)
m.c1209 = Constraint(expr= - 45*m.b1189 + m.x2689 <= 0)
m.c1210 = Constraint(expr= - 45*m.b1190 + m.x2690 <= 0)
m.c1211 = Constraint(expr= - 45*m.b1191 + m.x2691 <= 0)
m.c1212 = Constraint(expr= - 45*m.b1192 + m.x2692 <= 0)
m.c1213 = Constraint(expr= - 45*m.b1193 + m.x2693 <= 0)
m.c1214 = Constraint(expr= - 45*m.b1194 + m.x2694 <= 0)
m.c1215 = Constraint(expr= - 45*m.b1195 + m.x2695 <= 0)
m.c1216 = Constraint(expr= - 45*m.b1196 + m.x2696 <= 0)
m.c1217 = Constraint(expr= - 45*m.b1197 + m.x2697 <= 0)
m.c1218 = Constraint(expr= - 45*m.b1198 + m.x2698 <= 0)
m.c1219 = Constraint(expr= - 45*m.b1199 + m.x2699 <= 0)
m.c1220 = Constraint(expr= - 45*m.b1200 + m.x2700 <= 0)
m.c1221 = Constraint(expr= - 45*m.b1201 + m.x2701 <= 0)
m.c1222 = Constraint(expr= - 45*m.b1202 + m.x2702 <= 0)
m.c1223 = Constraint(expr= - 45*m.b1203 + m.x2703 <= 0)
m.c1224 = Constraint(expr= - 45*m.b1204 + m.x2704 <= 0)
m.c1225 = Constraint(expr= - 45*m.b1205 + m.x2705 <= 0)
m.c1226 = Constraint(expr= - 45*m.b1206 + m.x2706 <= 0)
m.c1227 = Constraint(expr= - 45*m.b1207 + m.x2707 <= 0)
m.c1228 = Constraint(expr= - 45*m.b1208 + m.x2708 <= 0)
m.c1229 = Constraint(expr= - 45*m.b1209 + m.x2709 <= 0)
m.c1230 = Constraint(expr= - 45*m.b1210 + m.x2710 <= 0)
m.c1231 = Constraint(expr= - 45*m.b1211 + m.x2711 <= 0)
m.c1232 = Constraint(expr= - 45*m.b1212 + m.x2712 <= 0)
m.c1233 = Constraint(expr= - 45*m.b1213 + m.x2713 <= 0)
m.c1234 = Constraint(expr= - 45*m.b1214 + m.x2714 <= 0)
m.c1235 = Constraint(expr= - 45*m.b1215 + m.x2715 <= 0)
m.c1236 = Constraint(expr= - 45*m.b1216 + m.x2716 <= 0)
m.c1237 = Constraint(expr= - 45*m.b1217 + m.x2717 <= 0)
m.c1238 = Constraint(expr= - 45*m.b1218 + m.x2718 <= 0)
m.c1239 = Constraint(expr= - 45*m.b1219 + m.x2719 <= 0)
m.c1240 = Constraint(expr= - 45*m.b1220 + m.x2720 <= 0)
m.c1241 = Constraint(expr= - 45*m.b1221 + m.x2721 <= 0)
m.c1242 = Constraint(expr= - 45*m.b1222 + m.x2722 <= 0)
m.c1243 = Constraint(expr= - 45*m.b1223 + m.x2723 <= 0)
m.c1244 = Constraint(expr= - 45*m.b1224 + m.x2724 <= 0)
m.c1245 = Constraint(expr= - 45*m.b1225 + m.x2725 <= 0)
m.c1246 = Constraint(expr= - 45*m.b1226 + m.x2726 <= 0)
m.c1247 = Constraint(expr= - 45*m.b1227 + m.x2727 <= 0)
m.c1248 = Constraint(expr= - 45*m.b1228 + m.x2728 <= 0)
m.c1249 = Constraint(expr= - 45*m.b1229 + m.x2729 <= 0)
m.c1250 = Constraint(expr= - 45*m.b1230 + m.x2730 <= 0)
m.c1251 = Constraint(expr= - 45*m.b1231 + m.x2731 <= 0)
m.c1252 = Constraint(expr= - 45*m.b1232 + m.x2732 <= 0)
m.c1253 = Constraint(expr= - 45*m.b1233 + m.x2733 <= 0)
m.c1254 = Constraint(expr= - 45*m.b1234 + m.x2734 <= 0)
m.c1255 = Constraint(expr= - 45*m.b1235 + m.x2735 <= 0)
m.c1256 = Constraint(expr= - 45*m.b1236 + m.x2736 <= 0)
m.c1257 = Constraint(expr= - 45*m.b1237 + m.x2737 <= 0)
m.c1258 = Constraint(expr= - 45*m.b1238 + m.x2738 <= 0)
m.c1259 = Constraint(expr= - 45*m.b1239 + m.x2739 <= 0)
m.c1260 = Constraint(expr= - 45*m.b1240 + m.x2740 <= 0)
m.c1261 = Constraint(expr= - 45*m.b1241 + m.x2741 <= 0)
m.c1262 = Constraint(expr= - 45*m.b1242 + m.x2742 <= 0)
m.c1263 = Constraint(expr= - 45*m.b1243 + m.x2743 <= 0)
m.c1264 = Constraint(expr= - 45*m.b1244 + m.x2744 <= 0)
m.c1265 = Constraint(expr= - 45*m.b1245 + m.x2745 <= 0)
m.c1266 = Constraint(expr= - 45*m.b1246 + m.x2746 <= 0)
m.c1267 = Constraint(expr= - 45*m.b1247 + m.x2747 <= 0)
m.c1268 = Constraint(expr= - 45*m.b1248 + m.x2748 <= 0)
m.c1269 = Constraint(expr= - 45*m.b1249 + m.x2749 <= 0)
m.c1270 = Constraint(expr= - 45*m.b1250 + m.x2750 <= 0)
m.c1271 = Constraint(expr= - 45*m.b1251 + m.x2751 <= 0)
m.c1272 = Constraint(expr= - 45*m.b1252 + m.x2752 <= 0)
m.c1273 = Constraint(expr= - 45*m.b1253 + m.x2753 <= 0)
m.c1274 = Constraint(expr= - 45*m.b1254 + m.x2754 <= 0)
m.c1275 = Constraint(expr= - 45*m.b1255 + m.x2755 <= 0)
m.c1276 = Constraint(expr= - 45*m.b1256 + m.x2756 <= 0)
m.c1277 = Constraint(expr= - 45*m.b1257 + m.x2757 <= 0)
m.c1278 = Constraint(expr= - 45*m.b1258 + m.x2758 <= 0)
m.c1279 = Constraint(expr= - 45*m.b1259 + m.x2759 <= 0)
m.c1280 = Constraint(expr= - 45*m.b1260 + m.x2760 <= 0)
m.c1281 = Constraint(expr= - 45*m.b1261 + m.x2761 <= 0)
m.c1282 = Constraint(expr= - 45*m.b1262 + m.x2762 <= 0)
m.c1283 = Constraint(expr= - 45*m.b1263 + m.x2763 <= 0)
m.c1284 = Constraint(expr= - 45*m.b1264 + m.x2764 <= 0)
m.c1285 = Constraint(expr= - 45*m.b1265 + m.x2765 <= 0)
m.c1286 = Constraint(expr= - 45*m.b1266 + m.x2766 <= 0)
m.c1287 = Constraint(expr= - 45*m.b1267 + m.x2767 <= 0)
m.c1288 = Constraint(expr= - 45*m.b1268 + m.x2768 <= 0)
m.c1289 = Constraint(expr= - 45*m.b1269 + m.x2769 <= 0)
m.c1290 = Constraint(expr= - 45*m.b1270 + m.x2770 <= 0)
m.c1291 = Constraint(expr= - 45*m.b1271 + m.x2771 <= 0)
m.c1292 = Constraint(expr= - 45*m.b1272 + m.x2772 <= 0)
m.c1293 = Constraint(expr= - 45*m.b1273 + m.x2773 <= 0)
m.c1294 = Constraint(expr= - 45*m.b1274 + m.x2774 <= 0)
m.c1295 = Constraint(expr= - 45*m.b1275 + m.x2775 <= 0)
m.c1296 = Constraint(expr= - 45*m.b1276 + m.x2776 <= 0)
m.c1297 = Constraint(expr= - 45*m.b1277 + m.x2777 <= 0)
m.c1298 = Constraint(expr= - 45*m.b1278 + m.x2778 <= 0)
m.c1299 = Constraint(expr= - 45*m.b1279 + m.x2779 <= 0)
m.c1300 = Constraint(expr= - 45*m.b1280 + m.x2780 <= 0)
m.c1301 = Constraint(expr= - 45*m.b1281 + m.x2781 <= 0)
m.c1302 = Constraint(expr= - 45*m.b1282 + m.x2782 <= 0)
m.c1303 = Constraint(expr= - 45*m.b1283 + m.x2783 <= 0)
m.c1304 = Constraint(expr= - 45*m.b1284 + m.x2784 <= 0)
m.c1305 = Constraint(expr= - 45*m.b1285 + m.x2785 <= 0)
m.c1306 = Constraint(expr= - 45*m.b1286 + m.x2786 <= 0)
m.c1307 = Constraint(expr= - 45*m.b1287 + m.x2787 <= 0)
m.c1308 = Constraint(expr= - 45*m.b1288 + m.x2788 <= 0)
m.c1309 = Constraint(expr= - 45*m.b1289 + m.x2789 <= 0)
m.c1310 = Constraint(expr= - 45*m.b1290 + m.x2790 <= 0)
m.c1311 = Constraint(expr= - 45*m.b1291 + m.x2791 <= 0)
m.c1312 = Constraint(expr= - 45*m.b1292 + m.x2792 <= 0)
m.c1313 = Constraint(expr= - 45*m.b1293 + m.x2793 <= 0)
m.c1314 = Constraint(expr= - 45*m.b1294 + m.x2794 <= 0)
m.c1315 = Constraint(expr= - 45*m.b1295 + m.x2795 <= 0)
m.c1316 = Constraint(expr= - 45*m.b1296 + m.x2796 <= 0)
m.c1317 = Constraint(expr= - 45*m.b1297 + m.x2797 <= 0)
m.c1318 = Constraint(expr= - 45*m.b1298 + m.x2798 <= 0)
m.c1319 = Constraint(expr= - 45*m.b1299 + m.x2799 <= 0)
m.c1320 = Constraint(expr= - 45*m.b1300 + m.x2800 <= 0)
m.c1321 = Constraint(expr= - 45*m.b1301 + m.x2801 <= 0)
m.c1322 = Constraint(expr= - 45*m.b1302 + m.x2802 <= 0)
m.c1323 = Constraint(expr= - 45*m.b1303 + m.x2803 <= 0)
m.c1324 = Constraint(expr= - 45*m.b1304 + m.x2804 <= 0)
m.c1325 = Constraint(expr= - 45*m.b1305 + m.x2805 <= 0)
m.c1326 = Constraint(expr= - 45*m.b1306 + m.x2806 <= 0)
m.c1327 = Constraint(expr= - 45*m.b1307 + m.x2807 <= 0)
m.c1328 = Constraint(expr= - 45*m.b1308 + m.x2808 <= 0)
m.c1329 = Constraint(expr= - 45*m.b1309 + m.x2809 <= 0)
m.c1330 = Constraint(expr= - 45*m.b1310 + m.x2810 <= 0)
m.c1331 = Constraint(expr= - 45*m.b1311 + m.x2811 <= 0)
m.c1332 = Constraint(expr= - 45*m.b1312 + m.x2812 <= 0)
m.c1333 = Constraint(expr= - 45*m.b1313 + m.x2813 <= 0)
m.c1334 = Constraint(expr= - 45*m.b1314 + m.x2814 <= 0)
m.c1335 = Constraint(expr= - 45*m.b1315 + m.x2815 <= 0)
m.c1336 = Constraint(expr= - 45*m.b1316 + m.x2816 <= 0)
m.c1337 = Constraint(expr= - 45*m.b1317 + m.x2817 <= 0)
m.c1338 = Constraint(expr= - 45*m.b1318 + m.x2818 <= 0)
m.c1339 = Constraint(expr= - 45*m.b1319 + m.x2819 <= 0)
m.c1340 = Constraint(expr= - 45*m.b1320 + m.x2820 <= 0)
m.c1341 = Constraint(expr= - 45*m.b1321 + m.x2821 <= 0)
m.c1342 = Constraint(expr= - 45*m.b1322 + m.x2822 <= 0)
m.c1343 = Constraint(expr= - 45*m.b1323 + m.x2823 <= 0)
m.c1344 = Constraint(expr= - 45*m.b1324 + m.x2824 <= 0)
m.c1345 = Constraint(expr= - 45*m.b1325 + m.x2825 <= 0)
m.c1346 = Constraint(expr= - 45*m.b1326 + m.x2826 <= 0)
m.c1347 = Constraint(expr= - 45*m.b1327 + m.x2827 <= 0)
m.c1348 = Constraint(expr= - 45*m.b1328 + m.x2828 <= 0)
m.c1349 = Constraint(expr= - 45*m.b1329 + m.x2829 <= 0)
m.c1350 = Constraint(expr= - 45*m.b1330 + m.x2830 <= 0)
m.c1351 = Constraint(expr= - 45*m.b1331 + m.x2831 <= 0)
m.c1352 = Constraint(expr= - 45*m.b1332 + m.x2832 <= 0)
m.c1353 = Constraint(expr= - 45*m.b1333 + m.x2833 <= 0)
m.c1354 = Constraint(expr= - 45*m.b1334 + m.x2834 <= 0)
m.c1355 = Constraint(expr= - 45*m.b1335 + m.x2835 <= 0)
m.c1356 = Constraint(expr= - 45*m.b1336 + m.x2836 <= 0)
m.c1357 = Constraint(expr= - 45*m.b1337 + m.x2837 <= 0)
m.c1358 = Constraint(expr= - 45*m.b1338 + m.x2838 <= 0)
m.c1359 = Constraint(expr= - 45*m.b1339 + m.x2839 <= 0)
m.c1360 = Constraint(expr= - 45*m.b1340 + m.x2840 <= 0)
m.c1361 = Constraint(expr= - 45*m.b1341 + m.x2841 <= 0)
m.c1362 = Constraint(expr= - 45*m.b1342 + m.x2842 <= 0)
m.c1363 = Constraint(expr= - 45*m.b1343 + m.x2843 <= 0)
m.c1364 = Constraint(expr= - 45*m.b1344 + m.x2844 <= 0)
m.c1365 = Constraint(expr= - 45*m.b1345 + m.x2845 <= 0)
m.c1366 = Constraint(expr= - 45*m.b1346 + m.x2846 <= 0)
m.c1367 = Constraint(expr= - 45*m.b1347 + m.x2847 <= 0)
m.c1368 = Constraint(expr= - 45*m.b1348 + m.x2848 <= 0)
m.c1369 = Constraint(expr= - 45*m.b1349 + m.x2849 <= 0)
m.c1370 = Constraint(expr= - 45*m.b1350 + m.x2850 <= 0)
m.c1371 = Constraint(expr= - 45*m.b1351 + m.x2851 <= 0)
m.c1372 = Constraint(expr= - 45*m.b1352 + m.x2852 <= 0)
m.c1373 = Constraint(expr= - 45*m.b1353 + m.x2853 <= 0)
m.c1374 = Constraint(expr= - 45*m.b1354 + m.x2854 <= 0)
m.c1375 = Constraint(expr= - 45*m.b1355 + m.x2855 <= 0)
m.c1376 = Constraint(expr= - 45*m.b1356 + m.x2856 <= 0)
m.c1377 = Constraint(expr= - 45*m.b1357 + m.x2857 <= 0)
m.c1378 = Constraint(expr= - 45*m.b1358 + m.x2858 <= 0)
m.c1379 = Constraint(expr= - 45*m.b1359 + m.x2859 <= 0)
m.c1380 = Constraint(expr= - 45*m.b1360 + m.x2860 <= 0)
m.c1381 = Constraint(expr= - 45*m.b1361 + m.x2861 <= 0)
m.c1382 = Constraint(expr= - 45*m.b1362 + m.x2862 <= 0)
m.c1383 = Constraint(expr= - 45*m.b1363 + m.x2863 <= 0)
m.c1384 = Constraint(expr= - 45*m.b1364 + m.x2864 <= 0)
m.c1385 = Constraint(expr= - 45*m.b1365 + m.x2865 <= 0)
m.c1386 = Constraint(expr= - 45*m.b1366 + m.x2866 <= 0)
m.c1387 = Constraint(expr= - 45*m.b1367 + m.x2867 <= 0)
m.c1388 = Constraint(expr= - 45*m.b1368 + m.x2868 <= 0)
m.c1389 = Constraint(expr= - 45*m.b1369 + m.x2869 <= 0)
m.c1390 = Constraint(expr= - 45*m.b1370 + m.x2870 <= 0)
m.c1391 = Constraint(expr= - 45*m.b1371 + m.x2871 <= 0)
m.c1392 = Constraint(expr= - 45*m.b1372 + m.x2872 <= 0)
m.c1393 = Constraint(expr= - 45*m.b1373 + m.x2873 <= 0)
m.c1394 = Constraint(expr= - 45*m.b1374 + m.x2874 <= 0)
m.c1395 = Constraint(expr= - 45*m.b1375 + m.x2875 <= 0)
m.c1396 = Constraint(expr= - 45*m.b1376 + m.x2876 <= 0)
m.c1397 = Constraint(expr= - 45*m.b1377 + m.x2877 <= 0)
m.c1398 = Constraint(expr= - 45*m.b1378 + m.x2878 <= 0)
m.c1399 = Constraint(expr= - 45*m.b1379 + m.x2879 <= 0)
m.c1400 = Constraint(expr= - 45*m.b1380 + m.x2880 <= 0)
m.c1401 = Constraint(expr= - 45*m.b1381 + m.x2881 <= 0)
m.c1402 = Constraint(expr= - 45*m.b1382 + m.x2882 <= 0)
m.c1403 = Constraint(expr= - 45*m.b1383 + m.x2883 <= 0)
m.c1404 = Constraint(expr= - 45*m.b1384 + m.x2884 <= 0)
m.c1405 = Constraint(expr= - 45*m.b1385 + m.x2885 <= 0)
m.c1406 = Constraint(expr= - 45*m.b1386 + m.x2886 <= 0)
m.c1407 = Constraint(expr= - 45*m.b1387 + m.x2887 <= 0)
m.c1408 = Constraint(expr= - 45*m.b1388 + m.x2888 <= 0)
m.c1409 = Constraint(expr= - 45*m.b1389 + m.x2889 <= 0)
m.c1410 = Constraint(expr= - 45*m.b1390 + m.x2890 <= 0)
m.c1411 = Constraint(expr= - 45*m.b1391 + m.x2891 <= 0)
m.c1412 = Constraint(expr= - 45*m.b1392 + m.x2892 <= 0)
m.c1413 = Constraint(expr= - 45*m.b1393 + m.x2893 <= 0)
m.c1414 = Constraint(expr= - 45*m.b1394 + m.x2894 <= 0)
m.c1415 = Constraint(expr= - 45*m.b1395 + m.x2895 <= 0)
m.c1416 = Constraint(expr= - 45*m.b1396 + m.x2896 <= 0)
m.c1417 = Constraint(expr= - 45*m.b1397 + m.x2897 <= 0)
m.c1418 = Constraint(expr= - 45*m.b1398 + m.x2898 <= 0)
m.c1419 = Constraint(expr= - 45*m.b1399 + m.x2899 <= 0)
m.c1420 = Constraint(expr= - 45*m.b1400 + m.x2900 <= 0)
m.c1421 = Constraint(expr= - 45*m.b1401 + m.x2901 <= 0)
m.c1422 = Constraint(expr= - 45*m.b1402 + m.x2902 <= 0)
m.c1423 = Constraint(expr= - 45*m.b1403 + m.x2903 <= 0)
m.c1424 = Constraint(expr= - 45*m.b1404 + m.x2904 <= 0)
m.c1425 = Constraint(expr= - 45*m.b1405 + m.x2905 <= 0)
m.c1426 = Constraint(expr= - 45*m.b1406 + m.x2906 <= 0)
m.c1427 = Constraint(expr= - 45*m.b1407 + m.x2907 <= 0)
m.c1428 = Constraint(expr= - 45*m.b1408 + m.x2908 <= 0)
m.c1429 = Constraint(expr= - 45*m.b1409 + m.x2909 <= 0)
m.c1430 = Constraint(expr= - 45*m.b1410 + m.x2910 <= 0)
m.c1431 = Constraint(expr= - 45*m.b1411 + m.x2911 <= 0)
m.c1432 = Constraint(expr= - 45*m.b1412 + m.x2912 <= 0)
m.c1433 = Constraint(expr= - 45*m.b1413 + m.x2913 <= 0)
m.c1434 = Constraint(expr= - 45*m.b1414 + m.x2914 <= 0)
m.c1435 = Constraint(expr= - 45*m.b1415 + m.x2915 <= 0)
m.c1436 = Constraint(expr= - 45*m.b1416 + m.x2916 <= 0)
m.c1437 = Constraint(expr= - 45*m.b1417 + m.x2917 <= 0)
m.c1438 = Constraint(expr= - 45*m.b1418 + m.x2918 <= 0)
m.c1439 = Constraint(expr= - 45*m.b1419 + m.x2919 <= 0)
m.c1440 = Constraint(expr= - 45*m.b1420 + m.x2920 <= 0)
m.c1441 = Constraint(expr= - 45*m.b1421 + m.x2921 <= 0)
m.c1442 = Constraint(expr= - 45*m.b1422 + m.x2922 <= 0)
m.c1443 = Constraint(expr= - 45*m.b1423 + m.x2923 <= 0)
m.c1444 = Constraint(expr= - 45*m.b1424 + m.x2924 <= 0)
m.c1445 = Constraint(expr= - 45*m.b1425 + m.x2925 <= 0)
m.c1446 = Constraint(expr= - 45*m.b1426 + m.x2926 <= 0)
m.c1447 = Constraint(expr= - 45*m.b1427 + m.x2927 <= 0)
m.c1448 = Constraint(expr= - 45*m.b1428 + m.x2928 <= 0)
m.c1449 = Constraint(expr= - 45*m.b1429 + m.x2929 <= 0)
m.c1450 = Constraint(expr= - 45*m.b1430 + m.x2930 <= 0)
m.c1451 = Constraint(expr= - 45*m.b1431 + m.x2931 <= 0)
m.c1452 = Constraint(expr= - 45*m.b1432 + m.x2932 <= 0)
m.c1453 = Constraint(expr= - 45*m.b1433 + m.x2933 <= 0)
m.c1454 = Constraint(expr= - 45*m.b1434 + m.x2934 <= 0)
m.c1455 = Constraint(expr= - 45*m.b1435 + m.x2935 <= 0)
m.c1456 = Constraint(expr= - 45*m.b1436 + m.x2936 <= 0)
m.c1457 = Constraint(expr= - 45*m.b1437 + m.x2937 <= 0)
m.c1458 = Constraint(expr= - 45*m.b1438 + m.x2938 <= 0)
m.c1459 = Constraint(expr= - 45*m.b1439 + m.x2939 <= 0)
m.c1460 = Constraint(expr= - 45*m.b1440 + m.x2940 <= 0)
m.c1461 = Constraint(expr= - 45*m.b1441 + m.x2941 <= 0)
m.c1462 = Constraint(expr= - 45*m.b1442 + m.x2942 <= 0)
m.c1463 = Constraint(expr= - 45*m.b1443 + m.x2943 <= 0)
m.c1464 = Constraint(expr= - 45*m.b1444 + m.x2944 <= 0)
m.c1465 = Constraint(expr= - 45*m.b1445 + m.x2945 <= 0)
m.c1466 = Constraint(expr= - 45*m.b1446 + m.x2946 <= 0)
m.c1467 = Constraint(expr= - 45*m.b1447 + m.x2947 <= 0)
m.c1468 = Constraint(expr= - 45*m.b1448 + m.x2948 <= 0)
m.c1469 = Constraint(expr= - 45*m.b1449 + m.x2949 <= 0)
m.c1470 = Constraint(expr= - 45*m.b1450 + m.x2950 <= 0)
m.c1471 = Constraint(expr= - 45*m.b1451 + m.x2951 <= 0)
m.c1472 = Constraint(expr= - 45*m.b1452 + m.x2952 <= 0)
m.c1473 = Constraint(expr= - 45*m.b1453 + m.x2953 <= 0)
m.c1474 = Constraint(expr= - 45*m.b1454 + m.x2954 <= 0)
m.c1475 = Constraint(expr= - 45*m.b1455 + m.x2955 <= 0)
m.c1476 = Constraint(expr= - 45*m.b1456 + m.x2956 <= 0)
m.c1477 = Constraint(expr= - 45*m.b1457 + m.x2957 <= 0)
m.c1478 = Constraint(expr= - 45*m.b1458 + m.x2958 <= 0)
m.c1479 = Constraint(expr= - 45*m.b1459 + m.x2959 <= 0)
m.c1480 = Constraint(expr= - 45*m.b1460 + m.x2960 <= 0)
m.c1481 = Constraint(expr= - 45*m.b1461 + m.x2961 <= 0)
m.c1482 = Constraint(expr= - 45*m.b1462 + m.x2962 <= 0)
m.c1483 = Constraint(expr= - 45*m.b1463 + m.x2963 <= 0)
m.c1484 = Constraint(expr= - 45*m.b1464 + m.x2964 <= 0)
m.c1485 = Constraint(expr= - 45*m.b1465 + m.x2965 <= 0)
m.c1486 = Constraint(expr= - 45*m.b1466 + m.x2966 <= 0)
m.c1487 = Constraint(expr= - 45*m.b1467 + m.x2967 <= 0)
m.c1488 = Constraint(expr= - 45*m.b1468 + m.x2968 <= 0)
m.c1489 = Constraint(expr= - 45*m.b1469 + m.x2969 <= 0)
m.c1490 = Constraint(expr= - 45*m.b1470 + m.x2970 <= 0)
m.c1491 = Constraint(expr= - 45*m.b1471 + m.x2971 <= 0)
m.c1492 = Constraint(expr= - 45*m.b1472 + m.x2972 <= 0)
m.c1493 = Constraint(expr= - 45*m.b1473 + m.x2973 <= 0)
m.c1494 = Constraint(expr= - 45*m.b1474 + m.x2974 <= 0)
m.c1495 = Constraint(expr= - 45*m.b1475 + m.x2975 <= 0)
m.c1496 = Constraint(expr= - 45*m.b1476 + m.x2976 <= 0)
m.c1497 = Constraint(expr= - 45*m.b1477 + m.x2977 <= 0)
m.c1498 = Constraint(expr= - 45*m.b1478 + m.x2978 <= 0)
m.c1499 = Constraint(expr= - 45*m.b1479 + m.x2979 <= 0)
m.c1500 = Constraint(expr= - 45*m.b1480 + m.x2980 <= 0)
m.c1501 = Constraint(expr= - 45*m.b1481 + m.x2981 <= 0)
m.c1502 = Constraint(expr= - 45*m.b1482 + m.x2982 <= 0)
m.c1503 = Constraint(expr= - 45*m.b1483 + m.x2983 <= 0)
m.c1504 = Constraint(expr= - 45*m.b1484 + m.x2984 <= 0)
m.c1505 = Constraint(expr= - 45*m.b1485 + m.x2985 <= 0)
m.c1506 = Constraint(expr= - 45*m.b1486 + m.x2986 <= 0)
m.c1507 = Constraint(expr= - 45*m.b1487 + m.x2987 <= 0)
m.c1508 = Constraint(expr= - 45*m.b1488 + m.x2988 <= 0)
m.c1509 = Constraint(expr= - 45*m.b1489 + m.x2989 <= 0)
m.c1510 = Constraint(expr= - 45*m.b1490 + m.x2990 <= 0)
m.c1511 = Constraint(expr= - 45*m.b1491 + m.x2991 <= 0)
m.c1512 = Constraint(expr= - 45*m.b1492 + m.x2992 <= 0)
m.c1513 = Constraint(expr= - 45*m.b1493 + m.x2993 <= 0)
m.c1514 = Constraint(expr= - 45*m.b1494 + m.x2994 <= 0)
m.c1515 = Constraint(expr= - 45*m.b1495 + m.x2995 <= 0)
m.c1516 = Constraint(expr= - 45*m.b1496 + m.x2996 <= 0)
m.c1517 = Constraint(expr= - 45*m.b1497 + m.x2997 <= 0)
m.c1518 = Constraint(expr= - 45*m.b1498 + m.x2998 <= 0)
m.c1519 = Constraint(expr= - 45*m.b1499 + m.x2999 <= 0)
m.c1520 = Constraint(expr= - 45*m.b1500 + m.x3000 <= 0)
m.c1521 = Constraint(expr= m.x1501 + m.x1502 + m.x1503 + m.x1504 + m.x1505 + m.x1506 + m.x1507 + m.x1508 + m.x1509
+ m.x1510 + m.x1511 + m.x1512 + m.x1513 + m.x1514 + m.x1515 + m.x1516 + m.x1517 + m.x1518
+ m.x1519 + m.x1520 + m.x1521 + m.x1522 + m.x1523 + m.x1524 + m.x1525 + m.x1526 + m.x1527
+ m.x1528 + m.x1529 + m.x1530 + m.x1531 + m.x1532 + m.x1533 + m.x1534 + m.x1535 + m.x1536
+ m.x1537 + m.x1538 + m.x1539 + m.x1540 + m.x1541 + m.x1542 + m.x1543 + m.x1544 + m.x1545
+ m.x1546 + m.x1547 + m.x1548 + m.x1549 + m.x1550 + m.x1551 + m.x1552 + m.x1553 + m.x1554
+ m.x1555 + m.x1556 + m.x1557 + m.x1558 + m.x1559 + m.x1560 + m.x1561 + m.x1562 + m.x1563
+ m.x1564 + m.x1565 + m.x1566 + m.x1567 + m.x1568 + m.x1569 + m.x1570 + m.x1571 + m.x1572
+ m.x1573 + m.x1574 + m.x1575 + m.x1576 + m.x1577 + m.x1578 + m.x1579 + m.x1580 + m.x1581
+ m.x1582 + m.x1583 + m.x1584 + m.x1585 + m.x1586 + m.x1587 + m.x1588 + m.x1589 + m.x1590
+ m.x1591 + m.x1592 + m.x1593 + m.x1594 + m.x1595 + m.x1596 + m.x1597 + m.x1598 + m.x1599
+ m.x1600 + m.x1601 + m.x1602 + m.x1603 + m.x1604 + m.x1605 + m.x1606 + m.x1607 + m.x1608
+ m.x1609 + m.x1610 + m.x1611 + m.x1612 + m.x1613 + m.x1614 + m.x1615 + m.x1616 + m.x1617
+ m.x1618 + m.x1619 + m.x1620 + m.x1621 + m.x1622 + m.x1623 + m.x1624 + m.x1625 + m.x1626
+ m.x1627 + m.x1628 + m.x1629 + m.x1630 + m.x1631 + m.x1632 + m.x1633 + m.x1634 + m.x1635
+ m.x1636 + m.x1637 + m.x1638 + m.x1639 + m.x1640 + m.x1641 + m.x1642 + m.x1643 + m.x1644
+ m.x1645 + m.x1646 + m.x1647 + m.x1648 + m.x1649 + m.x1650 + m.x1651 + m.x1652 + m.x1653
+ m.x1654 + m.x1655 + m.x1656 + m.x1657 + m.x1658 + m.x1659 + m.x1660 + m.x1661 + m.x1662
+ m.x1663 + m.x1664 + m.x1665 + m.x1666 + m.x1667 + m.x1668 + m.x1669 + m.x1670 + m.x1671
+ m.x1672 + m.x1673 + m.x1674 + m.x1675 + m.x1676 + m.x1677 + m.x1678 + m.x1679 + m.x1680
+ m.x1681 + m.x1682 + m.x1683 + m.x1684 + m.x1685 + m.x1686 + m.x1687 + m.x1688 + m.x1689
+ m.x1690 + m.x1691 + m.x1692 + m.x1693 + m.x1694 + m.x1695 + m.x1696 + m.x1697 + m.x1698
+ m.x1699 + m.x1700 + m.x1701 + m.x1702 + m.x1703 + m.x1704 + m.x1705 + m.x1706 + m.x1707
+ m.x1708 + m.x1709 + m.x1710 + m.x1711 + m.x1712 + m.x1713 + m.x1714 + m.x1715 + m.x1716
+ m.x1717 + m.x1718 + m.x1719 + m.x1720 + m.x1721 + m.x1722 + m.x1723 + m.x1724 + m.x1725
+ m.x1726 + m.x1727 + m.x1728 + m.x1729 + m.x1730 + m.x1731 + m.x1732 + m.x1733 + m.x1734
+ m.x1735 + m.x1736 + m.x1737 + m.x1738 + m.x1739 + m.x1740 + m.x1741 + m.x1742 + m.x1743
+ m.x1744 + m.x1745 + m.x1746 + m.x1747 + m.x1748 + m.x1749 + m.x1750 + m.x1751 + m.x1752
+ m.x1753 + m.x1754 + m.x1755 + m.x1756 + m.x1757 + m.x1758 + m.x1759 + m.x1760 + m.x1761
+ m.x1762 + m.x1763 + m.x1764 + m.x1765 + m.x1766 + m.x1767 + m.x1768 + m.x1769 + m.x1770
+ m.x1771 + m.x1772 + m.x1773 + m.x1774 + m.x1775 + m.x1776 + m.x1777 + m.x1778 + m.x1779
+ m.x1780 + m.x1781 + m.x1782 + m.x1783 + m.x1784 + m.x1785 + m.x1786 + m.x1787 + m.x1788
+ m.x1789 + m.x1790 + m.x1791 + m.x1792 + m.x1793 + m.x1794 + m.x1795 + m.x1796 + m.x1797
+ m.x1798 + m.x1799 + m.x1800 + m.x1801 + m.x1802 + m.x1803 + m.x1804 + m.x1805 + m.x1806
+ m.x1807 + m.x1808 + m.x1809 + m.x1810 + m.x1811 + m.x1812 + m.x1813 + m.x1814 + m.x1815
+ m.x1816 + m.x1817 + m.x1818 + m.x1819 + m.x1820 + m.x1821 + m.x1822 + m.x1823 + m.x1824
+ m.x1825 + m.x1826 + m.x1827 + m.x1828 + m.x1829 + m.x1830 + m.x1831 + m.x1832 + m.x1833
+ m.x1834 + m.x1835 + m.x1836 + m.x1837 + m.x1838 + m.x1839 + m.x1840 + m.x1841 + m.x1842
+ m.x1843 + m.x1844 + m.x1845 + m.x1846 + m.x1847 + m.x1848 + m.x1849 + m.x1850 + m.x1851
+ m.x1852 + m.x1853 + m.x1854 + m.x1855 + m.x1856 + m.x1857 + m.x1858 + m.x1859 + m.x1860
+ m.x1861 + m.x1862 + m.x1863 + m.x1864 + m.x1865 + m.x1866 + m.x1867 + m.x1868 + m.x1869
+ m.x1870 + m.x1871 + m.x1872 + m.x1873 + m.x1874 + m.x1875 + m.x1876 + m.x1877 + m.x1878
+ m.x1879 + m.x1880 + m.x1881 + m.x1882 + m.x1883 + m.x1884 + m.x1885 + m.x1886 + m.x1887
+ m.x1888 + m.x1889 + m.x1890 + m.x1891 + m.x1892 + m.x1893 + m.x1894 + m.x1895 + m.x1896
+ m.x1897 + m.x1898 + m.x1899 + m.x1900 + m.x1901 + m.x1902 + m.x1903 + m.x1904 + m.x1905
+ m.x1906 + m.x1907 + m.x1908 + m.x1909 + m.x1910 + m.x1911 + m.x1912 + m.x1913 + m.x1914
+ m.x1915 + m.x1916 + m.x1917 + m.x1918 + m.x1919 + m.x1920 + m.x1921 + m.x1922 + m.x1923
+ m.x1924 + m.x1925 + m.x1926 + m.x1927 + m.x1928 + m.x1929 + m.x1930 + m.x1931 + m.x1932
+ m.x1933 + m.x1934 + m.x1935 + m.x1936 + m.x1937 + m.x1938 + m.x1939 + m.x1940 + m.x1941
+ m.x1942 + m.x1943 + m.x1944 + m.x1945 + m.x1946 + m.x1947 + m.x1948 + m.x1949 + m.x1950
+ m.x1951 + m.x1952 + m.x1953 + m.x1954 + m.x1955 + m.x1956 + m.x1957 + m.x1958 + m.x1959
+ m.x1960 + m.x1961 + m.x1962 + m.x1963 + m.x1964 + m.x1965 + m.x1966 + m.x1967 + m.x1968
+ m.x1969 + m.x1970 + m.x1971 + m.x1972 + m.x1973 + m.x1974 + m.x1975 + m.x1976 + m.x1977
+ m.x1978 + m.x1979 + m.x1980 + m.x1981 + m.x1982 + m.x1983 + m.x1984 + m.x1985 + m.x1986
+ m.x1987 + m.x1988 + m.x1989 + m.x1990 + m.x1991 + m.x1992 + m.x1993 + m.x1994 + m.x1995
+ m.x1996 + m.x1997 + m.x1998 + m.x1999 + m.x2000 + m.x2001 + m.x2002 + m.x2003 + m.x2004
+ m.x2005 + m.x2006 + m.x2007 + m.x2008 + m.x2009 + m.x2010 + m.x2011 + m.x2012 + m.x2013
+ m.x2014 + m.x2015 + m.x2016 + m.x2017 + m.x2018 + m.x2019 + m.x2020 + m.x2021 + m.x2022
+ m.x2023 + m.x2024 + m.x2025 + m.x2026 + m.x2027 + m.x2028 + m.x2029 + m.x2030 + m.x2031
+ m.x2032 + m.x2033 + m.x2034 + m.x2035 + m.x2036 + m.x2037 + m.x2038 + m.x2039 + m.x2040
+ m.x2041 + m.x2042 + m.x2043 + m.x2044 + m.x2045 + m.x2046 + m.x2047 + m.x2048 + m.x2049
+ m.x2050 + m.x2051 + m.x2052 + m.x2053 + m.x2054 + m.x2055 + m.x2056 + m.x2057 + m.x2058
+ m.x2059 + m.x2060 + m.x2061 + m.x2062 + m.x2063 + m.x2064 + m.x2065 + m.x2066 + m.x2067
+ m.x2068 + m.x2069 + m.x2070 + m.x2071 + m.x2072 + m.x2073 + m.x2074 + m.x2075 + m.x2076
+ m.x2077 + m.x2078 + m.x2079 + m.x2080 + m.x2081 + m.x2082 + m.x2083 + m.x2084 + m.x2085
+ m.x2086 + m.x2087 + m.x2088 + m.x2089 + m.x2090 + m.x2091 + m.x2092 + m.x2093 + m.x2094
+ m.x2095 + m.x2096 + m.x2097 + m.x2098 + m.x2099 + m.x2100 + m.x2101 + m.x2102 + m.x2103
+ m.x2104 + m.x2105 + m.x2106 + m.x2107 + m.x2108 + m.x2109 + m.x2110 + m.x2111 + m.x2112
+ m.x2113 + m.x2114 + m.x2115 + m.x2116 + m.x2117 + m.x2118 + m.x2119 + m.x2120 + m.x2121
+ m.x2122 + m.x2123 + m.x2124 + m.x2125 + m.x2126 + m.x2127 + m.x2128 + m.x2129 + m.x2130
+ m.x2131 + m.x2132 + m.x2133 + m.x2134 + m.x2135 + m.x2136 + m.x2137 + m.x2138 + m.x2139
+ m.x2140 + m.x2141 + m.x2142 + m.x2143 + m.x2144 + m.x2145 + m.x2146 + m.x2147 + m.x2148
+ m.x2149 + m.x2150 + m.x2151 + m.x2152 + m.x2153 + m.x2154 + m.x2155 + m.x2156 + m.x2157
+ m.x2158 + m.x2159 + m.x2160 + m.x2161 + m.x2162 + m.x2163 + m.x2164 + m.x2165 + m.x2166
+ m.x2167 + m.x2168 + m.x2169 + m.x2170 + m.x2171 + m.x2172 + m.x2173 + m.x2174 + m.x2175
+ m.x2176 + m.x2177 + m.x2178 + m.x2179 + m.x2180 + m.x2181 + m.x2182 + m.x2183 + m.x2184
+ m.x2185 + m.x2186 + m.x2187 + m.x2188 + m.x2189 + m.x2190 + m.x2191 + m.x2192 + m.x2193
+ m.x2194 + m.x2195 + m.x2196 + m.x2197 + m.x2198 + m.x2199 + m.x2200 + m.x2201 + m.x2202
+ m.x2203 + m.x2204 + m.x2205 + m.x2206 + m.x2207 + m.x2208 + m.x2209 + m.x2210 + m.x2211
+ m.x2212 + m.x2213 + m.x2214 + m.x2215 + m.x2216 + m.x2217 + m.x2218 + m.x2219 + m.x2220
+ m.x2221 + m.x2222 + m.x2223 + m.x2224 + m.x2225 + m.x2226 + m.x2227 + m.x2228 + m.x2229
+ m.x2230 + m.x2231 + m.x2232 + m.x2233 + m.x2234 + m.x2235 + m.x2236 + m.x2237 + m.x2238
+ m.x2239 + m.x2240 + m.x2241 + m.x2242 + m.x2243 + m.x2244 + m.x2245 + m.x2246 + m.x2247
+ m.x2248 + m.x2249 + m.x2250 + m.x2251 + m.x2252 + m.x2253 + m.x2254 + m.x2255 + m.x2256
+ m.x2257 + m.x2258 + m.x2259 + m.x2260 + m.x2261 + m.x2262 + m.x2263 + m.x2264 + m.x2265
+ m.x2266 + m.x2267 + m.x2268 + m.x2269 + m.x2270 + m.x2271 + m.x2272 + m.x2273 + m.x2274
+ m.x2275 + m.x2276 + m.x2277 + m.x2278 + m.x2279 + m.x2280 + m.x2281 + m.x2282 + m.x2283
+ m.x2284 + m.x2285 + m.x2286 + m.x2287 + m.x2288 + m.x2289 + m.x2290 + m.x2291 + m.x2292
+ m.x2293 + m.x2294 + m.x2295 + m.x2296 + m.x2297 + m.x2298 + m.x2299 + m.x2300 + m.x2301
+ m.x2302 + m.x2303 + m.x2304 + m.x2305 + m.x2306 + m.x2307 + m.x2308 + m.x2309 + m.x2310
+ m.x2311 + m.x2312 + m.x2313 + m.x2314 + m.x2315 + m.x2316 + m.x2317 + m.x2318 + m.x2319
+ m.x2320 + m.x2321 + m.x2322 + m.x2323 + m.x2324 + m.x2325 + m.x2326 + m.x2327 + m.x2328
+ m.x2329 + m.x2330 + m.x2331 + m.x2332 + m.x2333 + m.x2334 + m.x2335 + m.x2336 + m.x2337
+ m.x2338 + m.x2339 + m.x2340 + m.x2341 + m.x2342 + m.x2343 + m.x2344 + m.x2345 + m.x2346
+ m.x2347 + m.x2348 + m.x2349 + m.x2350 + m.x2351 + m.x2352 + m.x2353 + m.x2354 + m.x2355
+ m.x2356 + m.x2357 + m.x2358 + m.x2359 + m.x2360 + m.x2361 + m.x2362 + m.x2363 + m.x2364
+ m.x2365 + m.x2366 + m.x2367 + m.x2368 + m.x2369 + m.x2370 + m.x2371 + m.x2372 + m.x2373
+ m.x2374 + m.x2375 + m.x2376 + m.x2377 + m.x2378 + m.x2379 + m.x2380 + m.x2381 + m.x2382
+ m.x2383 + m.x2384 + m.x2385 + m.x2386 + m.x2387 + m.x2388 + m.x2389 + m.x2390 + m.x2391
+ m.x2392 + m.x2393 + m.x2394 + m.x2395 + m.x2396 + m.x2397 + m.x2398 + m.x2399 + m.x2400
+ m.x2401 + m.x2402 + m.x2403 + m.x2404 + m.x2405 + m.x2406 + m.x2407 + m.x2408 + m.x2409
+ m.x2410 + m.x2411 + m.x2412 + m.x2413 + m.x2414 + m.x2415 + m.x2416 + m.x2417 + m.x2418
+ m.x2419 + m.x2420 + m.x2421 + m.x2422 + m.x2423 + m.x2424 + m.x2425 + m.x2426 + m.x2427
+ m.x2428 + m.x2429 + m.x2430 + m.x2431 + m.x2432 + m.x2433 + m.x2434 + m.x2435 + m.x2436
+ m.x2437 + m.x2438 + m.x2439 + m.x2440 + m.x2441 + m.x2442 + m.x2443 + m.x2444 + m.x2445
+ m.x2446 + m.x2447 + m.x2448 + m.x2449 + m.x2450 + m.x2451 + m.x2452 + m.x2453 + m.x2454
+ m.x2455 + m.x2456 + m.x2457 + m.x2458 + m.x2459 + m.x2460 + m.x2461 + m.x2462 + m.x2463
+ m.x2464 + m.x2465 + m.x2466 + m.x2467 + m.x2468 + m.x2469 + m.x2470 + m.x2471 + m.x2472
+ m.x2473 + m.x2474 + m.x2475 + m.x2476 + m.x2477 + m.x2478 + m.x2479 + m.x2480 + m.x2481
+ m.x2482 + m.x2483 + m.x2484 + m.x2485 + m.x2486 + m.x2487 + m.x2488 + m.x2489 + m.x2490
+ m.x2491 + m.x2492 + m.x2493 + m.x2494 + m.x2495 + m.x2496 + m.x2497 + m.x2498 + m.x2499
+ m.x2500 + m.x2501 + m.x2502 + m.x2503 + m.x2504 + m.x2505 + m.x2506 + m.x2507 + m.x2508
+ m.x2509 + m.x2510 + m.x2511 + m.x2512 + m.x2513 + m.x2514 + m.x2515 + m.x2516 + m.x2517
+ m.x2518 + m.x2519 + m.x2520 + m.x2521 + m.x2522 + m.x2523 + m.x2524 + m.x2525 + m.x2526
+ m.x2527 + m.x2528 + m.x2529 + m.x2530 + m.x2531 + m.x2532 + m.x2533 + m.x2534 + m.x2535
+ m.x2536 + m.x2537 + m.x2538 + m.x2539 + m.x2540 + m.x2541 + m.x2542 + m.x2543 + m.x2544
+ m.x2545 + m.x2546 + m.x2547 + m.x2548 + m.x2549 + m.x2550 + m.x2551 + m.x2552 + m.x2553
+ m.x2554 + m.x2555 + m.x2556 + m.x2557 + m.x2558 + m.x2559 + m.x2560 + m.x2561 + m.x2562
+ m.x2563 + m.x2564 + m.x2565 + m.x2566 + m.x2567 + m.x2568 + m.x2569 + m.x2570 + m.x2571
+ m.x2572 + m.x2573 + m.x2574 + m.x2575 + m.x2576 + m.x2577 + m.x2578 + m.x2579 + m.x2580
+ m.x2581 + m.x2582 + m.x2583 + m.x2584 + m.x2585 + m.x2586 + m.x2587 + m.x2588 + m.x2589
+ m.x2590 + m.x2591 + m.x2592 + m.x2593 + m.x2594 + m.x2595 + m.x2596 + m.x2597 + m.x2598
+ m.x2599 + m.x2600 + m.x2601 + m.x2602 + m.x2603 + m.x2604 + m.x2605 + m.x2606 + m.x2607
+ m.x2608 + m.x2609 + m.x2610 + m.x2611 + m.x2612 + m.x2613 + m.x2614 + m.x2615 + m.x2616
+ m.x2617 + m.x2618 + m.x2619 + m.x2620 + m.x2621 + m.x2622 + m.x2623 + m.x2624 + m.x2625
+ m.x2626 + m.x2627 + m.x2628 + m.x2629 + m.x2630 + m.x2631 + m.x2632 + m.x2633 + m.x2634
+ m.x2635 + m.x2636 + m.x2637 + m.x2638 + m.x2639 + m.x2640 + m.x2641 + m.x2642 + m.x2643
+ m.x2644 + m.x2645 + m.x2646 + m.x2647 + m.x2648 + m.x2649 + m.x2650 + m.x2651 + m.x2652
+ m.x2653 + m.x2654 + m.x2655 + m.x2656 + m.x2657 + m.x2658 + m.x2659 + m.x2660 + m.x2661
+ m.x2662 + m.x2663 + m.x2664 + m.x2665 + m.x2666 + m.x2667 + m.x2668 + m.x2669 + m.x2670
+ m.x2671 + m.x2672 + m.x2673 + m.x2674 + m.x2675 + m.x2676 + m.x2677 + m.x2678 + m.x2679
+ m.x2680 + m.x2681 + m.x2682 + m.x2683 + m.x2684 + m.x2685 + m.x2686 + m.x2687 + m.x2688
+ m.x2689 + m.x2690 + m.x2691 + m.x2692 + m.x2693 + m.x2694 + m.x2695 + m.x2696 + m.x2697
+ m.x2698 + m.x2699 + m.x2700 + m.x2701 + m.x2702 + m.x2703 + m.x2704 + m.x2705 + m.x2706
+ m.x2707 + m.x2708 + m.x2709 + m.x2710 + m.x2711 + m.x2712 + m.x2713 + m.x2714 + m.x2715
+ m.x2716 + m.x2717 + m.x2718 + m.x2719 + m.x2720 + m.x2721 + m.x2722 + m.x2723 + m.x2724
+ m.x2725 + m.x2726 + m.x2727 + m.x2728 + m.x2729 + m.x2730 + m.x2731 + m.x2732 + m.x2733
+ m.x2734 + m.x2735 + m.x2736 + m.x2737 + m.x2738 + m.x2739 + m.x2740 + m.x2741 + m.x2742
+ m.x2743 + m.x2744 + m.x2745 + m.x2746 + m.x2747 + m.x2748 + m.x2749 + m.x2750 + m.x2751
+ m.x2752 + m.x2753 + m.x2754 + m.x2755 + m.x2756 + m.x2757 + m.x2758 + m.x2759 + m.x2760
+ m.x2761 + m.x2762 + m.x2763 + m.x2764 + m.x2765 + m.x2766 + m.x2767 + m.x2768 + m.x2769
+ m.x2770 + m.x2771 + m.x2772 + m.x2773 + m.x2774 + m.x2775 + m.x2776 + m.x2777 + m.x2778
+ m.x2779 + m.x2780 + m.x2781 + m.x2782 + m.x2783 + m.x2784 + m.x2785 + m.x2786 + m.x2787
+ m.x2788 + m.x2789 + m.x2790 + m.x2791 + m.x2792 + m.x2793 + m.x2794 + m.x2795 + m.x2796
+ m.x2797 + m.x2798 + m.x2799 + m.x2800 + m.x2801 + m.x2802 + m.x2803 + m.x2804 + m.x2805
+ m.x2806 + m.x2807 + m.x2808 + m.x2809 + m.x2810 + m.x2811 + m.x2812 + m.x2813 + m.x2814
+ m.x2815 + m.x2816 + m.x2817 + m.x2818 + m.x2819 + m.x2820 + m.x2821 + m.x2822 + m.x2823
+ m.x2824 + m.x2825 + m.x2826 + m.x2827 + m.x2828 + m.x2829 + m.x2830 + m.x2831 + m.x2832
+ m.x2833 + m.x2834 + m.x2835 + m.x2836 + m.x2837 + m.x2838 + m.x2839 + m.x2840 + m.x2841
+ m.x2842 + m.x2843 + m.x2844 + m.x2845 + m.x2846 + m.x2847 + m.x2848 + m.x2849 + m.x2850
+ m.x2851 + m.x2852 + m.x2853 + m.x2854 + m.x2855 + m.x2856 + m.x2857 + m.x2858 + m.x2859
+ m.x2860 + m.x2861 + m.x2862 + m.x2863 + m.x2864 + m.x2865 + m.x2866 + m.x2867 + m.x2868
+ m.x2869 + m.x2870 + m.x2871 + m.x2872 + m.x2873 + m.x2874 + m.x2875 + m.x2876 + m.x2877
+ m.x2878 + m.x2879 + m.x2880 + m.x2881 + m.x2882 + m.x2883 + m.x2884 + m.x2885 + m.x2886
+ m.x2887 + m.x2888 + m.x2889 + m.x2890 + m.x2891 + m.x2892 + m.x2893 + m.x2894 + m.x2895
+ m.x2896 + m.x2897 + m.x2898 + m.x2899 + m.x2900 + m.x2901 + m.x2902 + m.x2903 + m.x2904
+ m.x2905 + m.x2906 + m.x2907 + m.x2908 + m.x2909 + m.x2910 + m.x2911 + m.x2912 + m.x2913
+ m.x2914 + m.x2915 + m.x2916 + m.x2917 + m.x2918 + m.x2919 + m.x2920 + m.x2921 + m.x2922
+ m.x2923 + m.x2924 + m.x2925 + m.x2926 + m.x2927 + m.x2928 + m.x2929 + m.x2930 + m.x2931
+ m.x2932 + m.x2933 + m.x2934 + m.x2935 + m.x2936 + m.x2937 + m.x2938 + m.x2939 + m.x2940
+ m.x2941 + m.x2942 + m.x2943 + m.x2944 + m.x2945 + m.x2946 + m.x2947 + m.x2948 + m.x2949
+ m.x2950 + m.x2951 + m.x2952 + m.x2953 + m.x2954 + m.x2955 + m.x2956 + m.x2957 + m.x2958
+ m.x2959 + m.x2960 + m.x2961 + m.x2962 + m.x2963 + m.x2964 + m.x2965 + m.x2966 + m.x2967
+ m.x2968 + m.x2969 + m.x2970 + m.x2971 + m.x2972 + m.x2973 + m.x2974 + m.x2975 + m.x2976
+ m.x2977 + m.x2978 + m.x2979 + m.x2980 + m.x2981 + m.x2982 + m.x2983 + m.x2984 + m.x2985
+ m.x2986 + m.x2987 + m.x2988 + m.x2989 + m.x2990 + m.x2991 + m.x2992 + m.x2993 + m.x2994
+ m.x2995 + m.x2996 + m.x2997 + m.x2998 + m.x2999 + m.x3000 <= 45)
m.c1522 = Constraint(expr= m.b1 + m.b301 + m.b601 + m.b901 + m.b1201 <= 1)
m.c1523 = Constraint(expr= m.b2 + m.b302 + m.b602 + m.b902 + m.b1202 <= 1)
m.c1524 = Constraint(expr= m.b3 + m.b303 + m.b603 + m.b903 + m.b1203 <= 1)
m.c1525 = Constraint(expr= m.b4 + m.b304 + m.b604 + m.b904 + m.b1204 <= 1)
m.c1526 = Constraint(expr= m.b5 + m.b305 + m.b605 + m.b905 + m.b1205 <= 1)
m.c1527 = Constraint(expr= m.b6 + m.b306 + m.b606 + m.b906 + m.b1206 <= 1)
m.c1528 = Constraint(expr= m.b7 + m.b307 + m.b607 + m.b907 + m.b1207 <= 1)
m.c1529 = Constraint(expr= m.b8 + m.b308 + m.b608 + m.b908 + m.b1208 <= 1)
m.c1530 = Constraint(expr= m.b9 + m.b309 + m.b609 + m.b909 + m.b1209 <= 1)
m.c1531 = Constraint(expr= m.b10 + m.b310 + m.b610 + m.b910 + m.b1210 <= 1)
m.c1532 = Constraint(expr= m.b11 + m.b311 + m.b611 + m.b911 + m.b1211 <= 1)
m.c1533 = Constraint(expr= m.b12 + m.b312 + m.b612 + m.b912 + m.b1212 <= 1)
m.c1534 = Constraint(expr= m.b13 + m.b313 + m.b613 + m.b913 + m.b1213 <= 1)
m.c1535 = Constraint(expr= m.b14 + m.b314 + m.b614 + m.b914 + m.b1214 <= 1)
m.c1536 = Constraint(expr= m.b15 + m.b315 + m.b615 + m.b915 + m.b1215 <= 1)
m.c1537 = Constraint(expr= m.b16 + m.b316 + m.b616 + m.b916 + m.b1216 <= 1)
m.c1538 = Constraint(expr= m.b17 + m.b317 + m.b617 + m.b917 + m.b1217 <= 1)
m.c1539 = Constraint(expr= m.b18 + m.b318 + m.b618 + m.b918 + m.b1218 <= 1)
m.c1540 = Constraint(expr= m.b19 + m.b319 + m.b619 + m.b919 + m.b1219 <= 1)
m.c1541 = Constraint(expr= m.b20 + m.b320 + m.b620 + m.b920 + m.b1220 <= 1)
m.c1542 = Constraint(expr= m.b21 + m.b321 + m.b621 + m.b921 + m.b1221 <= 1)
m.c1543 = Constraint(expr= m.b22 + m.b322 + m.b622 + m.b922 + m.b1222 <= 1)
m.c1544 = Constraint(expr= m.b23 + m.b323 + m.b623 + m.b923 + m.b1223 <= 1)
m.c1545 = Constraint(expr= m.b24 + m.b324 + m.b624 + m.b924 + m.b1224 <= 1)
m.c1546 = Constraint(expr= m.b25 + m.b325 + m.b625 + m.b925 + m.b1225 <= 1)
m.c1547 = Constraint(expr= m.b26 + m.b326 + m.b626 + m.b926 + m.b1226 <= 1)
m.c1548 = Constraint(expr= m.b27 + m.b327 + m.b627 + m.b927 + m.b1227 <= 1)
m.c1549 = Constraint(expr= m.b28 + m.b328 + m.b628 + m.b928 + m.b1228 <= 1)
m.c1550 = Constraint(expr= m.b29 + m.b329 + m.b629 + m.b929 + m.b1229 <= 1)
m.c1551 = Constraint(expr= m.b30 + m.b330 + m.b630 + m.b930 + m.b1230 <= 1)
m.c1552 = Constraint(expr= m.b31 + m.b331 + m.b631 + m.b931 + m.b1231 <= 1)
m.c1553 = Constraint(expr= m.b32 + m.b332 + m.b632 + m.b932 + m.b1232 <= 1)
m.c1554 = Constraint(expr= m.b33 + m.b333 + m.b633 + m.b933 + m.b1233 <= 1)
m.c1555 = Constraint(expr= m.b34 + m.b334 + m.b634 + m.b934 + m.b1234 <= 1)
m.c1556 = Constraint(expr= m.b35 + m.b335 + m.b635 + m.b935 + m.b1235 <= 1)
m.c1557 = Constraint(expr= m.b36 + m.b336 + m.b636 + m.b936 + m.b1236 <= 1)
m.c1558 = Constraint(expr= m.b37 + m.b337 + m.b637 + m.b937 + m.b1237 <= 1)
m.c1559 = Constraint(expr= m.b38 + m.b338 + m.b638 + m.b938 + m.b1238 <= 1)
m.c1560 = Constraint(expr= m.b39 + m.b339 + m.b639 + m.b939 + m.b1239 <= 1)
m.c1561 = Constraint(expr= m.b40 + m.b340 + m.b640 + m.b940 + m.b1240 <= 1)
m.c1562 = Constraint(expr= m.b41 + m.b341 + m.b641 + m.b941 + m.b1241 <= 1)
m.c1563 = Constraint(expr= m.b42 + m.b342 + m.b642 + m.b942 + m.b1242 <= 1)
m.c1564 = Constraint(expr= m.b43 + m.b343 + m.b643 + m.b943 + m.b1243 <= 1)
m.c1565 = Constraint(expr= m.b44 + m.b344 + m.b644 + m.b944 + m.b1244 <= 1)
m.c1566 = Constraint(expr= m.b45 + m.b345 + m.b645 + m.b945 + m.b1245 <= 1)
m.c1567 = Constraint(expr= m.b46 + m.b346 + m.b646 + m.b946 + m.b1246 <= 1)
m.c1568 = Constraint(expr= m.b47 + m.b347 + m.b647 + m.b947 + m.b1247 <= 1)
m.c1569 = Constraint(expr= m.b48 + m.b348 + m.b648 + m.b948 + m.b1248 <= 1)
m.c1570 = Constraint(expr= m.b49 + m.b349 + m.b649 + m.b949 + m.b1249 <= 1)
m.c1571 = Constraint(expr= m.b50 + m.b350 + m.b650 + m.b950 + m.b1250 <= 1)
m.c1572 = Constraint(expr= m.b51 + m.b351 + m.b651 + m.b951 + m.b1251 <= 1)
m.c1573 = Constraint(expr= m.b52 + m.b352 + m.b652 + m.b952 + m.b1252 <= 1)
m.c1574 = Constraint(expr= m.b53 + m.b353 + m.b653 + m.b953 + m.b1253 <= 1)
m.c1575 = Constraint(expr= m.b54 + m.b354 + m.b654 + m.b954 + m.b1254 <= 1)
m.c1576 = Constraint(expr= m.b55 + m.b355 + m.b655 + m.b955 + m.b1255 <= 1)
m.c1577 = Constraint(expr= m.b56 + m.b356 + m.b656 + m.b956 + m.b1256 <= 1)
m.c1578 = Constraint(expr= m.b57 + m.b357 + m.b657 + m.b957 + m.b1257 <= 1)
m.c1579 = Constraint(expr= m.b58 + m.b358 + m.b658 + m.b958 + m.b1258 <= 1)
m.c1580 = Constraint(expr= m.b59 + m.b359 + m.b659 + m.b959 + m.b1259 <= 1)
m.c1581 = Constraint(expr= m.b60 + m.b360 + m.b660 + m.b960 + m.b1260 <= 1)
m.c1582 = Constraint(expr= m.b61 + m.b361 + m.b661 + m.b961 + m.b1261 <= 1)
m.c1583 = Constraint(expr= m.b62 + m.b362 + m.b662 + m.b962 + m.b1262 <= 1)
m.c1584 = Constraint(expr= m.b63 + m.b363 + m.b663 + m.b963 + m.b1263 <= 1)
m.c1585 = Constraint(expr= m.b64 + m.b364 + m.b664 + m.b964 + m.b1264 <= 1)
m.c1586 = Constraint(expr= m.b65 + m.b365 + m.b665 + m.b965 + m.b1265 <= 1)
m.c1587 = Constraint(expr= m.b66 + m.b366 + m.b666 + m.b966 + m.b1266 <= 1)
m.c1588 = Constraint(expr= m.b67 + m.b367 + m.b667 + m.b967 + m.b1267 <= 1)
m.c1589 = Constraint(expr= m.b68 + m.b368 + m.b668 + m.b968 + m.b1268 <= 1)
m.c1590 = Constraint(expr= m.b69 + m.b369 + m.b669 + m.b969 + m.b1269 <= 1)
m.c1591 = Constraint(expr= m.b70 + m.b370 + m.b670 + m.b970 + m.b1270 <= 1)
m.c1592 = Constraint(expr= m.b71 + m.b371 + m.b671 + m.b971 + m.b1271 <= 1)
m.c1593 = Constraint(expr= m.b72 + m.b372 + m.b672 + m.b972 + m.b1272 <= 1)
m.c1594 = Constraint(expr= m.b73 + m.b373 + m.b673 + m.b973 + m.b1273 <= 1)
m.c1595 = Constraint(expr= m.b74 + m.b374 + m.b674 + m.b974 + m.b1274 <= 1)
m.c1596 = Constraint(expr= m.b75 + m.b375 + m.b675 + m.b975 + m.b1275 <= 1)
m.c1597 = Constraint(expr= m.b76 + m.b376 + m.b676 + m.b976 + m.b1276 <= 1)
m.c1598 = Constraint(expr= m.b77 + m.b377 + m.b677 + m.b977 + m.b1277 <= 1)
m.c1599 = Constraint(expr= m.b78 + m.b378 + m.b678 + m.b978 + m.b1278 <= 1)
m.c1600 = Constraint(expr= m.b79 + m.b379 + m.b679 + m.b979 + m.b1279 <= 1)
m.c1601 = Constraint(expr= m.b80 + m.b380 + m.b680 + m.b980 + m.b1280 <= 1)
m.c1602 = Constraint(expr= m.b81 + m.b381 + m.b681 + m.b981 + m.b1281 <= 1)
m.c1603 = Constraint(expr= m.b82 + m.b382 + m.b682 + m.b982 + m.b1282 <= 1)
m.c1604 = Constraint(expr= m.b83 + m.b383 + m.b683 + m.b983 + m.b1283 <= 1)
m.c1605 = Constraint(expr= m.b84 + m.b384 + m.b684 + m.b984 + m.b1284 <= 1)
m.c1606 = Constraint(expr= m.b85 + m.b385 + m.b685 + m.b985 + m.b1285 <= 1)
m.c1607 = Constraint(expr= m.b86 + m.b386 + m.b686 + m.b986 + m.b1286 <= 1)
m.c1608 = Constraint(expr= m.b87 + m.b387 + m.b687 + m.b987 + m.b1287 <= 1)
m.c1609 = Constraint(expr= m.b88 + m.b388 + m.b688 + m.b988 + m.b1288 <= 1)
m.c1610 = Constraint(expr= m.b89 + m.b389 + m.b689 + m.b989 + m.b1289 <= 1)
m.c1611 = Constraint(expr= m.b90 + m.b390 + m.b690 + m.b990 + m.b1290 <= 1)
m.c1612 = Constraint(expr= m.b91 + m.b391 + m.b691 + m.b991 + m.b1291 <= 1)
m.c1613 = Constraint(expr= m.b92 + m.b392 + m.b692 + m.b992 + m.b1292 <= 1)
m.c1614 = Constraint(expr= m.b93 + m.b393 + m.b693 + m.b993 + m.b1293 <= 1)
m.c1615 = Constraint(expr= m.b94 + m.b394 + m.b694 + m.b994 + m.b1294 <= 1)
m.c1616 = Constraint(expr= m.b95 + m.b395 + m.b695 + m.b995 + m.b1295 <= 1)
m.c1617 = Constraint(expr= m.b96 + m.b396 + m.b696 + m.b996 + m.b1296 <= 1)
m.c1618 = Constraint(expr= m.b97 + m.b397 + m.b697 + m.b997 + m.b1297 <= 1)
m.c1619 = Constraint(expr= m.b98 + m.b398 + m.b698 + m.b998 + m.b1298 <= 1)
m.c1620 = Constraint(expr= m.b99 + m.b399 + m.b699 + m.b999 + m.b1299 <= 1)
m.c1621 = Constraint(expr= m.b100 + m.b400 + m.b700 + m.b1000 + m.b1300 <= 1)
m.c1622 = Constraint(expr= m.b101 + m.b401 + m.b701 + m.b1001 + m.b1301 <= 1)
m.c1623 = Constraint(expr= m.b102 + m.b402 + m.b702 + m.b1002 + m.b1302 <= 1)
m.c1624 = Constraint(expr= m.b103 + m.b403 + m.b703 + m.b1003 + m.b1303 <= 1)
m.c1625 = Constraint(expr= m.b104 + m.b404 + m.b704 + m.b1004 + m.b1304 <= 1)
m.c1626 = Constraint(expr= m.b105 + m.b405 + m.b705 + m.b1005 + m.b1305 <= 1)
m.c1627 = Constraint(expr= m.b106 + m.b406 + m.b706 + m.b1006 + m.b1306 <= 1)
m.c1628 = Constraint(expr= m.b107 + m.b407 + m.b707 + m.b1007 + m.b1307 <= 1)
m.c1629 = Constraint(expr= m.b108 + m.b408 + m.b708 + m.b1008 + m.b1308 <= 1)
m.c1630 = Constraint(expr= m.b109 + m.b409 + m.b709 + m.b1009 + m.b1309 <= 1)
m.c1631 = Constraint(expr= m.b110 + m.b410 + m.b710 + m.b1010 + m.b1310 <= 1)
m.c1632 = Constraint(expr= m.b111 + m.b411 + m.b711 + m.b1011 + m.b1311 <= 1)
m.c1633 = Constraint(expr= m.b112 + m.b412 + m.b712 + m.b1012 + m.b1312 <= 1)
m.c1634 = Constraint(expr= m.b113 + m.b413 + m.b713 + m.b1013 + m.b1313 <= 1)
m.c1635 = Constraint(expr= m.b114 + m.b414 + m.b714 + m.b1014 + m.b1314 <= 1)
m.c1636 = Constraint(expr= m.b115 + m.b415 + m.b715 + m.b1015 + m.b1315 <= 1)
m.c1637 = Constraint(expr= m.b116 + m.b416 + m.b716 + m.b1016 + m.b1316 <= 1)
m.c1638 = Constraint(expr= m.b117 + m.b417 + m.b717 + m.b1017 + m.b1317 <= 1)
m.c1639 = Constraint(expr= m.b118 + m.b418 + m.b718 + m.b1018 + m.b1318 <= 1)
m.c1640 = Constraint(expr= m.b119 + m.b419 + m.b719 + m.b1019 + m.b1319 <= 1)
m.c1641 = Constraint(expr= m.b120 + m.b420 + m.b720 + m.b1020 + m.b1320 <= 1)
m.c1642 = Constraint(expr= m.b121 + m.b421 + m.b721 + m.b1021 + m.b1321 <= 1)
m.c1643 = Constraint(expr= m.b122 + m.b422 + m.b722 + m.b1022 + m.b1322 <= 1)
m.c1644 = Constraint(expr= m.b123 + m.b423 + m.b723 + m.b1023 + m.b1323 <= 1)
m.c1645 = Constraint(expr= m.b124 + m.b424 + m.b724 + m.b1024 + m.b1324 <= 1)
m.c1646 = Constraint(expr= m.b125 + m.b425 + m.b725 + m.b1025 + m.b1325 <= 1)
m.c1647 = Constraint(expr= m.b126 + m.b426 + m.b726 + m.b1026 + m.b1326 <= 1)
m.c1648 = Constraint(expr= m.b127 + m.b427 + m.b727 + m.b1027 + m.b1327 <= 1)
m.c1649 = Constraint(expr= m.b128 + m.b428 + m.b728 + m.b1028 + m.b1328 <= 1)
m.c1650 = Constraint(expr= m.b129 + m.b429 + m.b729 + m.b1029 + m.b1329 <= 1)
m.c1651 = Constraint(expr= m.b130 + m.b430 + m.b730 + m.b1030 + m.b1330 <= 1)
m.c1652 = Constraint(expr= m.b131 + m.b431 + m.b731 + m.b1031 + m.b1331 <= 1)
m.c1653 = Constraint(expr= m.b132 + m.b432 + m.b732 + m.b1032 + m.b1332 <= 1)
m.c1654 = Constraint(expr= m.b133 + m.b433 + m.b733 + m.b1033 + m.b1333 <= 1)
m.c1655 = Constraint(expr= m.b134 + m.b434 + m.b734 + m.b1034 + m.b1334 <= 1)
m.c1656 = Constraint(expr= m.b135 + m.b435 + m.b735 + m.b1035 + m.b1335 <= 1)
m.c1657 = Constraint(expr= m.b136 + m.b436 + m.b736 + m.b1036 + m.b1336 <= 1)
m.c1658 = Constraint(expr= m.b137 + m.b437 + m.b737 + m.b1037 + m.b1337 <= 1)
m.c1659 = Constraint(expr= m.b138 + m.b438 + m.b738 + m.b1038 + m.b1338 <= 1)
m.c1660 = Constraint(expr= m.b139 + m.b439 + m.b739 + m.b1039 + m.b1339 <= 1)
m.c1661 = Constraint(expr= m.b140 + m.b440 + m.b740 + m.b1040 + m.b1340 <= 1)
m.c1662 = Constraint(expr= m.b141 + m.b441 + m.b741 + m.b1041 + m.b1341 <= 1)
m.c1663 = Constraint(expr= m.b142 + m.b442 + m.b742 + m.b1042 + m.b1342 <= 1)
m.c1664 = Constraint(expr= m.b143 + m.b443 + m.b743 + m.b1043 + m.b1343 <= 1)
m.c1665 = Constraint(expr= m.b144 + m.b444 + m.b744 + m.b1044 + m.b1344 <= 1)
m.c1666 = Constraint(expr= m.b145 + m.b445 + m.b745 + m.b1045 + m.b1345 <= 1)
m.c1667 = Constraint(expr= m.b146 + m.b446 + m.b746 + m.b1046 + m.b1346 <= 1)
m.c1668 = Constraint(expr= m.b147 + m.b447 + m.b747 + m.b1047 + m.b1347 <= 1)
m.c1669 = Constraint(expr= m.b148 + m.b448 + m.b748 + m.b1048 + m.b1348 <= 1)
m.c1670 = Constraint(expr= m.b149 + m.b449 + m.b749 + m.b1049 + m.b1349 <= 1)
m.c1671 = Constraint(expr= m.b150 + m.b450 + m.b750 + m.b1050 + m.b1350 <= 1)
m.c1672 = Constraint(expr= m.b151 + m.b451 + m.b751 + m.b1051 + m.b1351 <= 1)
m.c1673 = Constraint(expr= m.b152 + m.b452 + m.b752 + m.b1052 + m.b1352 <= 1)
m.c1674 = Constraint(expr= m.b153 + m.b453 + m.b753 + m.b1053 + m.b1353 <= 1)
m.c1675 = Constraint(expr= m.b154 + m.b454 + m.b754 + m.b1054 + m.b1354 <= 1)
m.c1676 = Constraint(expr= m.b155 + m.b455 + m.b755 + m.b1055 + m.b1355 <= 1)
m.c1677 = Constraint(expr= m.b156 + m.b456 + m.b756 + m.b1056 + m.b1356 <= 1)
m.c1678 = Constraint(expr= m.b157 + m.b457 + m.b757 + m.b1057 + m.b1357 <= 1)
m.c1679 = Constraint(expr= m.b158 + m.b458 + m.b758 + m.b1058 + m.b1358 <= 1)
m.c1680 = Constraint(expr= m.b159 + m.b459 + m.b759 + m.b1059 + m.b1359 <= 1)
m.c1681 = Constraint(expr= m.b160 + m.b460 + m.b760 + m.b1060 + m.b1360 <= 1)
m.c1682 = Constraint(expr= m.b161 + m.b461 + m.b761 + m.b1061 + m.b1361 <= 1)
m.c1683 = Constraint(expr= m.b162 + m.b462 + m.b762 + m.b1062 + m.b1362 <= 1)
m.c1684 = Constraint(expr= m.b163 + m.b463 + m.b763 + m.b1063 + m.b1363 <= 1)
m.c1685 = Constraint(expr= m.b164 + m.b464 + m.b764 + m.b1064 + m.b1364 <= 1)
m.c1686 = Constraint(expr= m.b165 + m.b465 + m.b765 + m.b1065 + m.b1365 <= 1)
m.c1687 = Constraint(expr= m.b166 + m.b466 + m.b766 + m.b1066 + m.b1366 <= 1)
m.c1688 = Constraint(expr= m.b167 + m.b467 + m.b767 + m.b1067 + m.b1367 <= 1)
m.c1689 = Constraint(expr= m.b168 + m.b468 + m.b768 + m.b1068 + m.b1368 <= 1)
m.c1690 = Constraint(expr= m.b169 + m.b469 + m.b769 + m.b1069 + m.b1369 <= 1)
m.c1691 = Constraint(expr= m.b170 + m.b470 + m.b770 + m.b1070 + m.b1370 <= 1)
m.c1692 = Constraint(expr= m.b171 + m.b471 + m.b771 + m.b1071 + m.b1371 <= 1)
m.c1693 = Constraint(expr= m.b172 + m.b472 + m.b772 + m.b1072 + m.b1372 <= 1)
m.c1694 = Constraint(expr= m.b173 + m.b473 + m.b773 + m.b1073 + m.b1373 <= 1)
m.c1695 = Constraint(expr= m.b174 + m.b474 + m.b774 + m.b1074 + m.b1374 <= 1)
m.c1696 = Constraint(expr= m.b175 + m.b475 + m.b775 + m.b1075 + m.b1375 <= 1)
m.c1697 = Constraint(expr= m.b176 + m.b476 + m.b776 + m.b1076 + m.b1376 <= 1)
m.c1698 = Constraint(expr= m.b177 + m.b477 + m.b777 + m.b1077 + m.b1377 <= 1)
m.c1699 = Constraint(expr= m.b178 + m.b478 + m.b778 + m.b1078 + m.b1378 <= 1)
m.c1700 = Constraint(expr= m.b179 + m.b479 + m.b779 + m.b1079 + m.b1379 <= 1)
m.c1701 = Constraint(expr= m.b180 + m.b480 + m.b780 + m.b1080 + m.b1380 <= 1)
m.c1702 = Constraint(expr= m.b181 + m.b481 + m.b781 + m.b1081 + m.b1381 <= 1)
m.c1703 = Constraint(expr= m.b182 + m.b482 + m.b782 + m.b1082 + m.b1382 <= 1)
m.c1704 = Constraint(expr= m.b183 + m.b483 + m.b783 + m.b1083 + m.b1383 <= 1)
m.c1705 = Constraint(expr= m.b184 + m.b484 + m.b784 + m.b1084 + m.b1384 <= 1)
m.c1706 = Constraint(expr= m.b185 + m.b485 + m.b785 + m.b1085 + m.b1385 <= 1)
m.c1707 = Constraint(expr= m.b186 + m.b486 + m.b786 + m.b1086 + m.b1386 <= 1)
m.c1708 = Constraint(expr= m.b187 + m.b487 + m.b787 + m.b1087 + m.b1387 <= 1)
m.c1709 = Constraint(expr= m.b188 + m.b488 + m.b788 + m.b1088 + m.b1388 <= 1)
m.c1710 = Constraint(expr= m.b189 + m.b489 + m.b789 + m.b1089 + m.b1389 <= 1)
m.c1711 = Constraint(expr= m.b190 + m.b490 + m.b790 + m.b1090 + m.b1390 <= 1)
m.c1712 = Constraint(expr= m.b191 + m.b491 + m.b791 + m.b1091 + m.b1391 <= 1)
m.c1713 = Constraint(expr= m.b192 + m.b492 + m.b792 + m.b1092 + m.b1392 <= 1)
m.c1714 = Constraint(expr= m.b193 + m.b493 + m.b793 + m.b1093 + m.b1393 <= 1)
m.c1715 = Constraint(expr= m.b194 + m.b494 + m.b794 + m.b1094 + m.b1394 <= 1)
m.c1716 = Constraint(expr= m.b195 + m.b495 + m.b795 + m.b1095 + m.b1395 <= 1)
m.c1717 = Constraint(expr= m.b196 + m.b496 + m.b796 + m.b1096 + m.b1396 <= 1)
m.c1718 = Constraint(expr= m.b197 + m.b497 + m.b797 + m.b1097 + m.b1397 <= 1)
m.c1719 = Constraint(expr= m.b198 + m.b498 + m.b798 + m.b1098 + m.b1398 <= 1)
m.c1720 = Constraint(expr= m.b199 + m.b499 + m.b799 + m.b1099 + m.b1399 <= 1)
m.c1721 = Constraint(expr= m.b200 + m.b500 + m.b800 + m.b1100 + m.b1400 <= 1)
m.c1722 = Constraint(expr= m.b201 + m.b501 + m.b801 + m.b1101 + m.b1401 <= 1)
m.c1723 = Constraint(expr= m.b202 + m.b502 + m.b802 + m.b1102 + m.b1402 <= 1)
m.c1724 = Constraint(expr= m.b203 + m.b503 + m.b803 + m.b1103 + m.b1403 <= 1)
m.c1725 = Constraint(expr= m.b204 + m.b504 + m.b804 + m.b1104 + m.b1404 <= 1)
m.c1726 = Constraint(expr= m.b205 + m.b505 + m.b805 + m.b1105 + m.b1405 <= 1)
m.c1727 = Constraint(expr= m.b206 + m.b506 + m.b806 + m.b1106 + m.b1406 <= 1)
m.c1728 = Constraint(expr= m.b207 + m.b507 + m.b807 + m.b1107 + m.b1407 <= 1)
m.c1729 = Constraint(expr= m.b208 + m.b508 + m.b808 + m.b1108 + m.b1408 <= 1)
m.c1730 = Constraint(expr= m.b209 + m.b509 + m.b809 + m.b1109 + m.b1409 <= 1)
m.c1731 = Constraint(expr= m.b210 + m.b510 + m.b810 + m.b1110 + m.b1410 <= 1)
m.c1732 = Constraint(expr= m.b211 + m.b511 + m.b811 + m.b1111 + m.b1411 <= 1)
m.c1733 = Constraint(expr= m.b212 + m.b512 + m.b812 + m.b1112 + m.b1412 <= 1)
m.c1734 = Constraint(expr= m.b213 + m.b513 + m.b813 + m.b1113 + m.b1413 <= 1)
m.c1735 = Constraint(expr= m.b214 + m.b514 + m.b814 + m.b1114 + m.b1414 <= 1)
m.c1736 = Constraint(expr= m.b215 + m.b515 + m.b815 + m.b1115 + m.b1415 <= 1)
m.c1737 = Constraint(expr= m.b216 + m.b516 + m.b816 + m.b1116 + m.b1416 <= 1)
m.c1738 = Constraint(expr= m.b217 + m.b517 + m.b817 + m.b1117 + m.b1417 <= 1)
m.c1739 = Constraint(expr= m.b218 + m.b518 + m.b818 + m.b1118 + m.b1418 <= 1)
m.c1740 = Constraint(expr= m.b219 + m.b519 + m.b819 + m.b1119 + m.b1419 <= 1)
m.c1741 = Constraint(expr= m.b220 + m.b520 + m.b820 + m.b1120 + m.b1420 <= 1)
m.c1742 = Constraint(expr= m.b221 + m.b521 + m.b821 + m.b1121 + m.b1421 <= 1)
m.c1743 = Constraint(expr= m.b222 + m.b522 + m.b822 + m.b1122 + m.b1422 <= 1)
m.c1744 = Constraint(expr= m.b223 + m.b523 + m.b823 + m.b1123 + m.b1423 <= 1)
m.c1745 = Constraint(expr= m.b224 + m.b524 + m.b824 + m.b1124 + m.b1424 <= 1)
m.c1746 = Constraint(expr= m.b225 + m.b525 + m.b825 + m.b1125 + m.b1425 <= 1)
m.c1747 = Constraint(expr= m.b226 + m.b526 + m.b826 + m.b1126 + m.b1426 <= 1)
m.c1748 = Constraint(expr= m.b227 + m.b527 + m.b827 + m.b1127 + m.b1427 <= 1)
m.c1749 = Constraint(expr= m.b228 + m.b528 + m.b828 + m.b1128 + m.b1428 <= 1)
m.c1750 = Constraint(expr= m.b229 + m.b529 + m.b829 + m.b1129 + m.b1429 <= 1)
m.c1751 = Constraint(expr= m.b230 + m.b530 + m.b830 + m.b1130 + m.b1430 <= 1)
m.c1752 = Constraint(expr= m.b231 + m.b531 + m.b831 + m.b1131 + m.b1431 <= 1)
m.c1753 = Constraint(expr= m.b232 + m.b532 + m.b832 + m.b1132 + m.b1432 <= 1)
m.c1754 = Constraint(expr= m.b233 + m.b533 + m.b833 + m.b1133 + m.b1433 <= 1)
m.c1755 = Constraint(expr= m.b234 + m.b534 + m.b834 + m.b1134 + m.b1434 <= 1)
m.c1756 = Constraint(expr= m.b235 + m.b535 + m.b835 + m.b1135 + m.b1435 <= 1)
m.c1757 = Constraint(expr= m.b236 + m.b536 + m.b836 + m.b1136 + m.b1436 <= 1)
m.c1758 = Constraint(expr= m.b237 + m.b537 + m.b837 + m.b1137 + m.b1437 <= 1)
m.c1759 = Constraint(expr= m.b238 + m.b538 + m.b838 + m.b1138 + m.b1438 <= 1)
m.c1760 = Constraint(expr= m.b239 + m.b539 + m.b839 + m.b1139 + m.b1439 <= 1)
m.c1761 = Constraint(expr= m.b240 + m.b540 + m.b840 + m.b1140 + m.b1440 <= 1)
m.c1762 = Constraint(expr= m.b241 + m.b541 + m.b841 + m.b1141 + m.b1441 <= 1)
m.c1763 = Constraint(expr= m.b242 + m.b542 + m.b842 + m.b1142 + m.b1442 <= 1)
m.c1764 = Constraint(expr= m.b243 + m.b543 + m.b843 + m.b1143 + m.b1443 <= 1)
m.c1765 = Constraint(expr= m.b244 + m.b544 + m.b844 + m.b1144 + m.b1444 <= 1)
m.c1766 = Constraint(expr= m.b245 + m.b545 + m.b845 + m.b1145 + m.b1445 <= 1)
m.c1767 = Constraint(expr= m.b246 + m.b546 + m.b846 + m.b1146 + m.b1446 <= 1)
m.c1768 = Constraint(expr= m.b247 + m.b547 + m.b847 + m.b1147 + m.b1447 <= 1)
m.c1769 = Constraint(expr= m.b248 + m.b548 + m.b848 + m.b1148 + m.b1448 <= 1)
m.c1770 = Constraint(expr= m.b249 + m.b549 + m.b849 + m.b1149 + m.b1449 <= 1)
m.c1771 = Constraint(expr= m.b250 + m.b550 + m.b850 + m.b1150 + m.b1450 <= 1)
m.c1772 = Constraint(expr= m.b251 + m.b551 + m.b851 + m.b1151 + m.b1451 <= 1)
m.c1773 = Constraint(expr= m.b252 + m.b552 + m.b852 + m.b1152 + m.b1452 <= 1)
m.c1774 = Constraint(expr= m.b253 + m.b553 + m.b853 + m.b1153 + m.b1453 <= 1)
m.c1775 = Constraint(expr= m.b254 + m.b554 + m.b854 + m.b1154 + m.b1454 <= 1)
m.c1776 = Constraint(expr= m.b255 + m.b555 + m.b855 + m.b1155 + m.b1455 <= 1)
m.c1777 = Constraint(expr= m.b256 + m.b556 + m.b856 + m.b1156 + m.b1456 <= 1)
m.c1778 = Constraint(expr= m.b257 + m.b557 + m.b857 + m.b1157 + m.b1457 <= 1)
m.c1779 = Constraint(expr= m.b258 + m.b558 + m.b858 + m.b1158 + m.b1458 <= 1)
m.c1780 = Constraint(expr= m.b259 + m.b559 + m.b859 + m.b1159 + m.b1459 <= 1)
m.c1781 = Constraint(expr= m.b260 + m.b560 + m.b860 + m.b1160 + m.b1460 <= 1)
m.c1782 = Constraint(expr= m.b261 + m.b561 + m.b861 + m.b1161 + m.b1461 <= 1)
m.c1783 = Constraint(expr= m.b262 + m.b562 + m.b862 + m.b1162 + m.b1462 <= 1)
m.c1784 = Constraint(expr= m.b263 + m.b563 + m.b863 + m.b1163 + m.b1463 <= 1)
m.c1785 = Constraint(expr= m.b264 + m.b564 + m.b864 + m.b1164 + m.b1464 <= 1)
m.c1786 = Constraint(expr= m.b265 + m.b565 + m.b865 + m.b1165 + m.b1465 <= 1)
m.c1787 = Constraint(expr= m.b266 + m.b566 + m.b866 + m.b1166 + m.b1466 <= 1)
m.c1788 = Constraint(expr= m.b267 + m.b567 + m.b867 + m.b1167 + m.b1467 <= 1)
m.c1789 = Constraint(expr= m.b268 + m.b568 + m.b868 + m.b1168 + m.b1468 <= 1)
m.c1790 = Constraint(expr= m.b269 + m.b569 + m.b869 + m.b1169 + m.b1469 <= 1)
m.c1791 = Constraint(expr= m.b270 + m.b570 + m.b870 + m.b1170 + m.b1470 <= 1)
m.c1792 = Constraint(expr= m.b271 + m.b571 + m.b871 + m.b1171 + m.b1471 <= 1)
m.c1793 = Constraint(expr= m.b272 + m.b572 + m.b872 + m.b1172 + m.b1472 <= 1)
m.c1794 = Constraint(expr= m.b273 + m.b573 + m.b873 + m.b1173 + m.b1473 <= 1)
m.c1795 = Constraint(expr= m.b274 + m.b574 + m.b874 + m.b1174 + m.b1474 <= 1)
m.c1796 = Constraint(expr= m.b275 + m.b575 + m.b875 + m.b1175 + m.b1475 <= 1)
m.c1797 = Constraint(expr= m.b276 + m.b576 + m.b876 + m.b1176 + m.b1476 <= 1)
m.c1798 = Constraint(expr= m.b277 + m.b577 + m.b877 + m.b1177 + m.b1477 <= 1)
m.c1799 = Constraint(expr= m.b278 + m.b578 + m.b878 + m.b1178 + m.b1478 <= 1)
m.c1800 = Constraint(expr= m.b279 + m.b579 + m.b879 + m.b1179 + m.b1479 <= 1)
m.c1801 = Constraint(expr= m.b280 + m.b580 + m.b880 + m.b1180 + m.b1480 <= 1)
m.c1802 = Constraint(expr= m.b281 + m.b581 + m.b881 + m.b1181 + m.b1481 <= 1)
m.c1803 = Constraint(expr= m.b282 + m.b582 + m.b882 + m.b1182 + m.b1482 <= 1)
m.c1804 = Constraint(expr= m.b283 + m.b583 + m.b883 + m.b1183 + m.b1483 <= 1)
m.c1805 = Constraint(expr= m.b284 + m.b584 + m.b884 + m.b1184 + m.b1484 <= 1)
m.c1806 = Constraint(expr= m.b285 + m.b585 + m.b885 + m.b1185 + m.b1485 <= 1)
m.c1807 = Constraint(expr= m.b286 + m.b586 + m.b886 + m.b1186 + m.b1486 <= 1)
m.c1808 = Constraint(expr= m.b287 + m.b587 + m.b887 + m.b1187 + m.b1487 <= 1)
m.c1809 = Constraint(expr= m.b288 + m.b588 + m.b888 + m.b1188 + m.b1488 <= 1)
m.c1810 = Constraint(expr= m.b289 + m.b589 + m.b889 + m.b1189 + m.b1489 <= 1)
m.c1811 = Constraint(expr= m.b290 + m.b590 + m.b890 + m.b1190 + m.b1490 <= 1)
m.c1812 = Constraint(expr= m.b291 + m.b591 + m.b891 + m.b1191 + m.b1491 <= 1)
m.c1813 = Constraint(expr= m.b292 + m.b592 + m.b892 + m.b1192 + m.b1492 <= 1)
m.c1814 = Constraint(expr= m.b293 + m.b593 + m.b893 + m.b1193 + m.b1493 <= 1)
m.c1815 = Constraint(expr= m.b294 + m.b594 + m.b894 + m.b1194 + m.b1494 <= 1)
m.c1816 = Constraint(expr= m.b295 + m.b595 + m.b895 + m.b1195 + m.b1495 <= 1)
m.c1817 = Constraint(expr= m.b296 + m.b596 + m.b896 + m.b1196 + m.b1496 <= 1)
m.c1818 = Constraint(expr= m.b297 + m.b597 + m.b897 + m.b1197 + m.b1497 <= 1)
m.c1819 = Constraint(expr= m.b298 + m.b598 + m.b898 + m.b1198 + m.b1498 <= 1)
m.c1820 = Constraint(expr= m.b299 + m.b599 + m.b899 + m.b1199 + m.b1499 <= 1)
m.c1821 = Constraint(expr= m.b300 + m.b600 + m.b900 + m.b1200 + m.b1500 <= 1)
| 60.648988 | 120 | 0.615485 | 85,830 | 551,178 | 3.952487 | 0.108132 | 0.026648 | 0.106473 | 0.176865 | 0.505789 | 0.391331 | 0.390529 | 0.3903 | 0.3903 | 0.079695 | 0 | 0.40234 | 0.206498 | 551,178 | 9,087 | 121 | 60.655662 | 0.373316 | 0.001234 | 0 | 0.045561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.000138 | 0 | 0.000138 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f31635ec6e69430943f53209c99bdef02de3acc1 | 785 | py | Python | ptstat/dist/uniform.py | timmyzhao/ptstat | 0401203e5b6053df6d62b2af9ab4b831f1b41660 | [
"MIT"
] | 116 | 2017-06-23T07:21:28.000Z | 2022-03-11T20:27:22.000Z | ptstat/dist/uniform.py | afcarl/ptstat | 0401203e5b6053df6d62b2af9ab4b831f1b41660 | [
"MIT"
] | 2 | 2017-06-23T22:17:56.000Z | 2017-06-28T07:31:40.000Z | ptstat/dist/uniform.py | afcarl/ptstat | 0401203e5b6053df6d62b2af9ab4b831f1b41660 | [
"MIT"
] | 12 | 2017-06-25T02:59:59.000Z | 2020-07-19T21:33:45.000Z | import torch
from torch.autograd import Variable
from ptstat.core import RandomVariable, _to_v
# TODO: Implement Uniform(a, b) constructor.
class Uniform(RandomVariable):
"""
Uniform(0, 1) iid rv.
"""
def __init__(self, size, cuda=False):
super(Uniform, self).__init__()
assert len(size) == 2, str(size)
self._cuda = cuda
self._p_size = size
def _size(self):
return self._p_size
def _log_pdf(self, x):
return self._entropy()
def _sample(self):
# TODO: Use CUDA random_ when implemented.
y = Variable(torch.FloatTensor(*self._p_size).uniform_())
if self._cuda:
y = y.cuda()
return y
def _entropy(self):
return _to_v(0, self._p_size[0], self._cuda)
| 24.53125 | 65 | 0.612739 | 104 | 785 | 4.326923 | 0.442308 | 0.044444 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008757 | 0.272611 | 785 | 31 | 66 | 25.322581 | 0.779335 | 0.135032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064516 | 0.05 | 1 | 0.25 | false | 0 | 0.15 | 0.15 | 0.65 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
f31c147a7042cdd8ed6832409db00a2c0deb7547 | 2,111 | py | Python | libs/icloudsettingsclient.py | mattandersen/icloud-tools | 8e76d7750f843bf3d36e1ba272dee5858b9fe63d | [
"MIT"
] | 4 | 2017-03-02T16:32:21.000Z | 2019-12-09T15:12:16.000Z | libs/icloudsettingsclient.py | mca-gif/icloud-tools | 8e76d7750f843bf3d36e1ba272dee5858b9fe63d | [
"MIT"
] | null | null | null | libs/icloudsettingsclient.py | mca-gif/icloud-tools | 8e76d7750f843bf3d36e1ba272dee5858b9fe63d | [
"MIT"
] | 1 | 2019-12-09T15:12:18.000Z | 2019-12-09T15:12:18.000Z | import base64
from libs.plistrequester import PlistRequester
class ICloudSettingsClient(object):
"""Implements a client to authorize and retrieve settings from iCloud"""
def __init__(self, apple_id, password):
self.url = "https://setup.icloud.com/setup/get_account_settings"
self.apple_id = apple_id
self.password = password
self.data = None
self.request()
if self.data is None:
raise RuntimeError("Unable to download settings from iCloud")
@staticmethod
def __encode_basic_auth_value(username: str, password: str) -> str:
basic_auth_value = "%s:%s" % (username, password)
basic_auth_value_b64 = base64.b64encode(basic_auth_value.encode(encoding="UTF-8"))
return basic_auth_value_b64.decode(encoding="UTF-8")
def request(self):
"""Actually process the request of settings"""
if self.data is not None:
return
requester = PlistRequester(self.url)
requester.add_header('Authorization', "Basic %s" % self.__encode_basic_auth_value(self.apple_id, self.password))
self.data = requester.plist_as_dict()
def person_id(self) -> str:
"""Return the user's Directory Services Person ID"""
return self.data['appleAccountInfo']['dsPrsID']
def mme_auth_token(self) -> str:
"""Returns an authorized iCloud (MobileMe) token"""
return self.data['tokens']['mmeAuthToken']
def http_token_authorization(self) -> str:
"""Returns a string fit for using as the value of a HTTP Authorization header"""
return "X-MobileMe-AuthToken %s" % self.__encode_basic_auth_value(self.person_id(), self.mme_auth_token())
def available_features(self) -> list:
"""Returns a list of strings indicating what features are available."""
return self.data['com.apple.mobileme']['availableFeatures']
def url_for_feature(self, feature_id: str) -> str:
"""Returns a URL for the given feature from the list of available features."""
return self.data['com.apple.mobileme'][feature_id]['url']
| 39.830189 | 120 | 0.677878 | 269 | 2,111 | 5.130112 | 0.356877 | 0.046377 | 0.071014 | 0.043478 | 0.085507 | 0.085507 | 0.042029 | 0 | 0 | 0 | 0 | 0.007207 | 0.211274 | 2,111 | 52 | 121 | 40.596154 | 0.821622 | 0.196116 | 0 | 0 | 0 | 0 | 0.148104 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.15625 | 0.0625 | 0 | 0.5625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
f31e32a7bd0cdb16e598adc843c0be8382bd1fc4 | 131 | py | Python | meiduo_mall/apps/carts/urls.py | 5703863336/electriity | 768687deaa76a431732c806dce0774397fd1d196 | [
"MIT"
] | null | null | null | meiduo_mall/apps/carts/urls.py | 5703863336/electriity | 768687deaa76a431732c806dce0774397fd1d196 | [
"MIT"
] | null | null | null | meiduo_mall/apps/carts/urls.py | 5703863336/electriity | 768687deaa76a431732c806dce0774397fd1d196 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^carts/$',views.CartsView.as_view(),name='carts'),
] | 26.2 | 60 | 0.70229 | 19 | 131 | 4.789474 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122137 | 131 | 5 | 61 | 26.2 | 0.791304 | 0 | 0 | 0 | 0 | 0 | 0.098485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
f3223da21df670ea865396b893b2dde1bf2749cf | 205 | py | Python | src/restLayer/app/unit_tests/run_suite.py | ucsd-ccbb/Oncolist | a3c7ecde6f665a665873e5aa7be5bc3778f5b17e | [
"MIT"
] | null | null | null | src/restLayer/app/unit_tests/run_suite.py | ucsd-ccbb/Oncolist | a3c7ecde6f665a665873e5aa7be5bc3778f5b17e | [
"MIT"
] | null | null | null | src/restLayer/app/unit_tests/run_suite.py | ucsd-ccbb/Oncolist | a3c7ecde6f665a665873e5aa7be5bc3778f5b17e | [
"MIT"
] | null | null | null | __author__ = 'aarongary'
import unittest
from app import unit_tests
def run_test():
suite = unittest.TestLoader().loadTestsFromModule(unit_tests.scratch_tests)
unittest.TextTestRunner().run(suite) | 29.285714 | 79 | 0.790244 | 24 | 205 | 6.416667 | 0.666667 | 0.116883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112195 | 205 | 7 | 80 | 29.285714 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0.043689 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
f32519931f8b1da69391f926bbbd0afebb339ff1 | 177 | py | Python | docs/examples/models_abc.py | jasujm/pydantic | cc1cb4826c74ac5b651ef2d80c3478428a9950ca | [
"MIT"
] | 25 | 2019-06-30T04:37:49.000Z | 2022-03-19T19:57:37.000Z | docs/examples/models_abc.py | jasujm/pydantic | cc1cb4826c74ac5b651ef2d80c3478428a9950ca | [
"MIT"
] | 197 | 2020-08-31T06:20:39.000Z | 2022-03-29T10:04:22.000Z | docs/examples/models_abc.py | jasujm/pydantic | cc1cb4826c74ac5b651ef2d80c3478428a9950ca | [
"MIT"
] | 4 | 2021-06-25T06:34:49.000Z | 2022-02-07T01:52:10.000Z | import abc
from pydantic import BaseModel
class FooBarModel(BaseModel, abc.ABC):
a: str
b: int
@abc.abstractmethod
def my_abstract_method(self):
pass
| 14.75 | 38 | 0.683616 | 23 | 177 | 5.173913 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.248588 | 177 | 11 | 39 | 16.090909 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.125 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
b84e8eafe61d26ed002f50d0c4bf5f330158daa7 | 3,299 | py | Python | explorer/tests/test_utils.py | velveteer/django-sql-explorer | f477c06cce664833beba6e4a85b9cc92e20e3ceb | [
"MIT"
] | 1 | 2016-10-06T18:25:03.000Z | 2016-10-06T18:25:03.000Z | explorer/tests/test_utils.py | velveteer/django-sql-explorer | f477c06cce664833beba6e4a85b9cc92e20e3ceb | [
"MIT"
] | null | null | null | explorer/tests/test_utils.py | velveteer/django-sql-explorer | f477c06cce664833beba6e4a85b9cc92e20e3ceb | [
"MIT"
] | null | null | null | from django.test import TestCase
from explorer.actions import generate_report_action
from explorer.tests.factories import SimpleQueryFactory
from explorer import app_settings
from explorer.utils import passes_blacklist, schema_info, param, swap_params, extract_params, shared_dict_update, EXPLORER_PARAM_TOKEN, execute_query
class TestSqlBlacklist(TestCase):
def setUp(self):
self.orig = app_settings.EXPLORER_SQL_BLACKLIST
def tearDown(self):
app_settings.EXPLORER_SQL_BLACKLIST = self.orig
def test_overriding_blacklist(self):
app_settings.EXPLORER_SQL_BLACKLIST = []
r = SimpleQueryFactory(sql="SELECT 1+1 AS \"DELETE\";")
fn = generate_report_action()
result = fn(None, None, [r, ])
self.assertEqual(result.content, 'DELETE\r\n2\r\n')
def test_default_blacklist_prevents_deletes(self):
r = SimpleQueryFactory(sql="SELECT 1+1 AS \"DELETE\";")
fn = generate_report_action()
result = fn(None, None, [r, ])
self.assertEqual(result.content, '0')
def test_queries_modifying_functions_are_ok(self):
sql = "SELECT 1+1 AS TWO; drop view foo;"
self.assertTrue(passes_blacklist(sql))
def test_queries_deleting_stuff_are_not_ok(self):
sql = "'distraction'; delete from table; SELECT 1+1 AS TWO; drop view foo;"
self.assertFalse(passes_blacklist(sql))
def test_queries_dropping_views_is_ok_and_not_case_sensitive(self):
sql = "SELECT 1+1 AS TWO; drop ViEw foo;"
self.assertTrue(passes_blacklist(sql))
class TestSchemaInfo(TestCase):
def test_schema_info_returns_valid_data(self):
res = schema_info()
tables = [a[1] for a in res]
self.assertIn('explorer_query', tables)
def test_app_exclusion_list(self):
app_settings.EXPLORER_SCHEMA_EXCLUDE_APPS = ('explorer',)
res = schema_info()
app_settings.EXPLORER_SCHEMA_EXCLUDE_APPS = ('',)
tables = [a[1] for a in res]
self.assertNotIn('explorer_query', tables)
class TestParams(TestCase):
def test_swappable_params_are_built_correctly(self):
expected = EXPLORER_PARAM_TOKEN + 'foo' + EXPLORER_PARAM_TOKEN
self.assertEqual(expected, param('foo'))
def test_params_get_swapped(self):
sql = 'please swap $$this$$ and $$that$$'
expected = 'please swap here and there'
params = {'this': 'here', 'that': 'there'}
got = swap_params(sql, params)
self.assertEqual(got, expected)
def test_empty_params_does_nothing(self):
sql = 'please swap $$this$$ and $$that$$'
params = None
got = swap_params(sql, params)
self.assertEqual(got, sql)
def test_non_string_param_gets_swapper(self):
sql = 'please swap $$this$$'
expected = 'please swap 1'
params = {'this': 1}
got = swap_params(sql, params)
self.assertEqual(got, expected)
def test_extracting_params(self):
sql = 'please swap $$this$$'
expected = {'this': ''}
self.assertEqual(extract_params(sql), expected)
def test_shared_dict_update(self):
source = {'foo': 1, 'bar': 2}
target = {'bar': None} # ha ha!
self.assertEqual({'bar': 2}, shared_dict_update(target, source)) | 36.252747 | 149 | 0.6699 | 417 | 3,299 | 5.045564 | 0.282974 | 0.043251 | 0.045152 | 0.023764 | 0.422529 | 0.407795 | 0.290875 | 0.264259 | 0.225285 | 0.211977 | 0 | 0.007384 | 0.220067 | 3,299 | 91 | 150 | 36.252747 | 0.810338 | 0.001819 | 0 | 0.3 | 1 | 0 | 0.123026 | 0 | 0 | 0 | 0 | 0 | 0.185714 | 1 | 0.214286 | false | 0.057143 | 0.071429 | 0 | 0.328571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
b84f7936d2c19a51356cf7cdd17b99e96117feea | 1,708 | py | Python | aiida/cmdline/commands/__init__.py | PercivalN/aiida-core | b215ed5a7ce9342bb7f671b67e95c1f474cc5940 | [
"BSD-2-Clause"
] | 1 | 2019-07-31T04:08:13.000Z | 2019-07-31T04:08:13.000Z | aiida/cmdline/commands/__init__.py | PercivalN/aiida-core | b215ed5a7ce9342bb7f671b67e95c1f474cc5940 | [
"BSD-2-Clause"
] | null | null | null | aiida/cmdline/commands/__init__.py | PercivalN/aiida-core | b215ed5a7ce9342bb7f671b67e95c1f474cc5940 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# #
# The code is hosted on GitHub at https://github.com/aiidateam/aiida-core #
# For further information on the license, see the LICENSE.txt file #
# For further information please visit http://www.aiida.net #
###########################################################################
# pylint: disable=too-many-arguments, wrong-import-position
"""The `verdi` command line interface."""
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import click_completion
# Activate the completion of parameter types provided by the click_completion package
click_completion.init()
# Import to populate the `verdi` sub commands
from aiida.cmdline.commands import (cmd_calcjob, cmd_code, cmd_comment, cmd_completioncommand, cmd_computer, cmd_config,
cmd_data, cmd_database, cmd_daemon, cmd_devel, cmd_export, cmd_graph, cmd_group,
cmd_import, cmd_node, cmd_plugin, cmd_process, cmd_profile, cmd_rehash, cmd_restapi,
cmd_run, cmd_setup, cmd_shell, cmd_status, cmd_user)
# Import to populate the `verdi data` sub commands
from aiida.cmdline.commands.cmd_data import (cmd_array, cmd_bands, cmd_cif, cmd_dict, cmd_remote, cmd_structure,
cmd_trajectory, cmd_upf)
| 58.896552 | 120 | 0.582553 | 190 | 1,708 | 4.968421 | 0.526316 | 0.025424 | 0.050847 | 0.040254 | 0.125 | 0.074153 | 0 | 0 | 0 | 0 | 0 | 0.000798 | 0.266393 | 1,708 | 28 | 121 | 61 | 0.752594 | 0.427986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.636364 | 0 | 0.636364 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
b8712259a6fb9244c662245a1721564528404377 | 87 | py | Python | records/05-09/__init__.py | AaronYang2333/CSCI_570 | 03e34ce5ff192fc94612bc3afb51dcab3e854462 | [
"Apache-2.0"
] | 36 | 2020-07-25T00:13:25.000Z | 2022-02-28T17:48:15.000Z | records/05-09/__init__.py | AaronYang2333/LeetCode | 03e34ce5ff192fc94612bc3afb51dcab3e854462 | [
"Apache-2.0"
] | 6 | 2020-06-06T04:39:37.000Z | 2021-04-03T01:45:39.000Z | records/05-09/__init__.py | AaronYang2333/LeetCode | 03e34ce5ff192fc94612bc3afb51dcab3e854462 | [
"Apache-2.0"
] | 16 | 2020-12-16T02:38:16.000Z | 2022-02-28T17:48:16.000Z | __author__ = 'Aaron Yang'
__email__ = 'byang971@usc.edu'
__date__ = '5/9/2020 11:12 PM' | 29 | 30 | 0.712644 | 14 | 87 | 3.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171053 | 0.126437 | 87 | 3 | 31 | 29 | 0.486842 | 0 | 0 | 0 | 0 | 0 | 0.488636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b21980a9e9de6a3e4443cc849a61e7c745054ff5 | 173 | py | Python | ex077b.py | jgabriel1607/Python | d6b75519eb8f0d4fef944e1690ba8914d81a5d16 | [
"MIT"
] | null | null | null | ex077b.py | jgabriel1607/Python | d6b75519eb8f0d4fef944e1690ba8914d81a5d16 | [
"MIT"
] | null | null | null | ex077b.py | jgabriel1607/Python | d6b75519eb8f0d4fef944e1690ba8914d81a5d16 | [
"MIT"
] | null | null | null | palavra = ('Curso', 'Video', 'Python')
qualPalavra = 0
qualLetra = 0
while True:
if palavra[qualPalavra][qualLetra] in 'AaEeIiOoUu':
print(palavra[qualPalavra]) | 24.714286 | 55 | 0.682081 | 19 | 173 | 6.210526 | 0.684211 | 0.305085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013986 | 0.17341 | 173 | 7 | 56 | 24.714286 | 0.811189 | 0 | 0 | 0 | 0 | 0 | 0.149425 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b220e270da9e7d675c9f1adbc01128e512c3ad08 | 46 | py | Python | python/pyarcan/version.py | omusaev/tui-bindings | e1ce90f41ce0c55e2de8e27e15c0b4652683081f | [
"BSD-3-Clause"
] | 3 | 2019-12-02T20:29:35.000Z | 2021-12-18T06:23:33.000Z | python/pyarcan/version.py | omusaev/tui-bindings | e1ce90f41ce0c55e2de8e27e15c0b4652683081f | [
"BSD-3-Clause"
] | null | null | null | python/pyarcan/version.py | omusaev/tui-bindings | e1ce90f41ce0c55e2de8e27e15c0b4652683081f | [
"BSD-3-Clause"
] | 2 | 2019-12-02T18:38:52.000Z | 2020-11-04T19:09:49.000Z | __package__ = 'pyarcan'
__version__ = '1.0.0'
| 15.333333 | 23 | 0.695652 | 6 | 46 | 4 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075 | 0.130435 | 46 | 2 | 24 | 23 | 0.525 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b22197390420f8a98f21e18236a7e13f62325435 | 115 | py | Python | source/files/visualization-tables-count-characters.py | StevenClontz/exploring-math-technology | 2b8705294499f930b30d4643c3579ad3240cc924 | [
"MIT"
] | 1 | 2020-12-08T16:23:39.000Z | 2020-12-08T16:23:39.000Z | source/files/visualization-tables-count-characters.py | StevenClontz/mathematics-of-data | 2b8705294499f930b30d4643c3579ad3240cc924 | [
"MIT"
] | 16 | 2020-09-07T23:12:54.000Z | 2021-06-03T17:10:52.000Z | source/files/visualization-tables-count-characters.py | StevenClontz/mathematics-of-data | 2b8705294499f930b30d4643c3579ad3240cc924 | [
"MIT"
] | null | null | null | book_table = book_table.with_columns([
"Peter", [c.count("Peter") for c in book_chapters],
])
book_table.show() | 28.75 | 55 | 0.704348 | 18 | 115 | 4.222222 | 0.611111 | 0.355263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121739 | 115 | 4 | 56 | 28.75 | 0.752475 | 0 | 0 | 0 | 0 | 0 | 0.086207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b22ef975d0c7d6453e9691c5e9daeab36cf8ad49 | 200 | py | Python | examples/storage/storage/authentication/tests/conftest.py | Cykooz/restfw | d94db685aa0dcda2eaf3eba24c4a29d5c3eb84e4 | [
"MIT"
] | null | null | null | examples/storage/storage/authentication/tests/conftest.py | Cykooz/restfw | d94db685aa0dcda2eaf3eba24c4a29d5c3eb84e4 | [
"MIT"
] | null | null | null | examples/storage/storage/authentication/tests/conftest.py | Cykooz/restfw | d94db685aa0dcda2eaf3eba24c4a29d5c3eb84e4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:Authors: cykooz
:Date: 14.03.2020
"""
import pytest
@pytest.fixture(name='pyramid_apps')
def pyramid_apps_fixture():
return [
'storage.authentication'
]
| 14.285714 | 36 | 0.63 | 23 | 200 | 5.347826 | 0.826087 | 0.178862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 0.19 | 200 | 13 | 37 | 15.384615 | 0.703704 | 0.285 | 0 | 0 | 0 | 0 | 0.251852 | 0.162963 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.166667 | 0.166667 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
b2333529b161f99663c82d4bf921b8c8d04e82cd | 128 | py | Python | showfile/__init__.py | wasi-master/showfile | 0d672d86b5f4ee30179a89038e79dc79594c338a | [
"MIT"
] | null | null | null | showfile/__init__.py | wasi-master/showfile | 0d672d86b5f4ee30179a89038e79dc79594c338a | [
"MIT"
] | null | null | null | showfile/__init__.py | wasi-master/showfile | 0d672d86b5f4ee30179a89038e79dc79594c338a | [
"MIT"
] | null | null | null | __author__ = "Wasi Master"
__version__ = "0.1.2"
__title__ = "showfile"
__homepage__ = "https://wasi-master.github.io/showfile/" | 32 | 56 | 0.734375 | 16 | 128 | 4.875 | 0.8125 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025862 | 0.09375 | 128 | 4 | 56 | 32 | 0.646552 | 0 | 0 | 0 | 0 | 0 | 0.488372 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b237481f19bc9088f2cc84a7103943a7dff44bd7 | 722 | py | Python | tests/angular1/widgets/test_md_dateselect.py | hiroaki-yamamoto/djextra | eed2cdb614f96463e16f0b3acbbce10f6c1ab0bc | [
"MIT"
] | 2 | 2018-05-21T10:31:22.000Z | 2018-11-19T15:02:34.000Z | tests/angular1/widgets/test_md_dateselect.py | hiroaki-yamamoto/djextra | eed2cdb614f96463e16f0b3acbbce10f6c1ab0bc | [
"MIT"
] | 17 | 2018-10-04T00:29:06.000Z | 2020-09-14T04:20:38.000Z | tests/angular1/widgets/test_md_dateselect.py | hiroaki-yamamoto/djextra | eed2cdb614f96463e16f0b3acbbce10f6c1ab0bc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
"""Date Selection for AngularMaterial test."""
from django import setup
from django.forms.widgets import SelectDateWidget
from django.test import TestCase
from djextra.forms.angular1.widgets import MDDateSelect, MDSelect
setup()
class SimpleMDDateSelectTest(TestCase):
"""Simple MDDateSelect Test."""
def setUp(self):
"""Setup."""
self.widget = MDDateSelect()
def test_type(self):
"""The widget should inherit SelectDateWidget."""
self.assertIsInstance(self.widget, SelectDateWidget)
def test_selection_widget(self):
"""The select_widget should be MDSelect."""
self.assertIs(self.widget.select_widget, MDSelect)
| 24.896552 | 65 | 0.711911 | 81 | 722 | 6.283951 | 0.469136 | 0.058939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003373 | 0.17867 | 722 | 28 | 66 | 25.785714 | 0.854975 | 0.261773 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.25 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
b24598eb76eb3deac56ba99c2c414380b4f7df8f | 1,889 | py | Python | api/runtime_chalice/chalicelib/__init__.py | viniciusao/awscdk-demo | 483ea234dc2d8a1bc24b938776f176323bc22060 | [
"MIT"
] | 1 | 2022-01-07T21:54:38.000Z | 2022-01-07T21:54:38.000Z | api/runtime_chalice/chalicelib/__init__.py | viniciusao/awscdk-demo | 483ea234dc2d8a1bc24b938776f176323bc22060 | [
"MIT"
] | null | null | null | api/runtime_chalice/chalicelib/__init__.py | viniciusao/awscdk-demo | 483ea234dc2d8a1bc24b938776f176323bc22060 | [
"MIT"
] | null | null | null | import abc
from collections import OrderedDict
import os
from typing import Any, Dict, Optional
import boto3
class DatabaseInterface(abc.ABC):
@abc.abstractmethod
def insert_char_info(self, char_info: Dict[str, str]) -> Dict[str, Any]:
pass
@abc.abstractmethod
def get_char_info(self, charname: str) -> Optional[Dict[str, Any]]:
pass
@abc.abstractmethod
def delete_char_info(self, charname: str) -> None:
pass
class CharsRepository:
def __init__(self, *, database: DatabaseInterface):
self._database = database
def insert_char_info(self, char_info: Dict[str, str]) -> Dict[str, Any]:
return self._database.insert_char_info(char_info)
def get_char_info(self, charname: str) -> Optional[Dict[str, Any]]:
return self._database.get_char_info(charname)
def delete_char_info(self, charname: str) -> None:
self._database.delete_char_info(charname)
class DynamoDBDatabase(DatabaseInterface):
_dynamodb = boto3.resource("dynamodb")
def __init__(self, table_name: str):
super().__init__()
self._table = DynamoDBDatabase._dynamodb.Table(table_name)
def insert_char_info(self, char_info: Dict[str, str]) -> None:
char_info['Name'] = char_info['Name'].lower()
self._table.put_item(Item=char_info)
def get_char_info(self, charname: str) -> Dict[str, str]:
response = self._table.get_item(Key={"Name": charname})
if 'Item' in response:
return dict(OrderedDict(reversed(list(response['Item'].items()))))
def delete_char_info(self, charname: str) -> None:
self._table.delete_item(Key={"Name": charname})
def init_chars_repository() -> CharsRepository:
dynamodb_database = DynamoDBDatabase(
os.environ.get("DYNAMODB_TABLE_NAME", "")
)
return CharsRepository(database=dynamodb_database) | 30.967213 | 78 | 0.688195 | 235 | 1,889 | 5.259574 | 0.204255 | 0.122977 | 0.087379 | 0.097087 | 0.380259 | 0.380259 | 0.351133 | 0.317152 | 0.288026 | 0.186893 | 0 | 0.001311 | 0.192165 | 1,889 | 61 | 79 | 30.967213 | 0.80865 | 0 | 0 | 0.302326 | 0 | 0 | 0.026984 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.27907 | false | 0.069767 | 0.116279 | 0.046512 | 0.581395 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
b24991f086c47d045e46989a6949fec18e113b74 | 587 | py | Python | tests/test_IO_utils.py | Svdvoort/prognosais | f5f144a2aac5610ea2450392853aa37bce311085 | [
"Apache-2.0"
] | 3 | 2020-11-10T09:21:51.000Z | 2021-01-12T15:14:19.000Z | tests/test_IO_utils.py | Svdvoort/prognosais | f5f144a2aac5610ea2450392853aa37bce311085 | [
"Apache-2.0"
] | 38 | 2020-11-18T14:19:25.000Z | 2022-03-17T09:28:48.000Z | tests/test_IO_utils.py | Svdvoort/prognosais | f5f144a2aac5610ea2450392853aa37bce311085 | [
"Apache-2.0"
] | null | null | null | import PrognosAIs.IO.utils as IO_utils
import pytest
import tensorflow as tf
@pytest.mark.gpu
def test_gpu_compute_capability():
gpu_devices = tf.config.get_visible_devices("GPU")
result = IO_utils.get_gpu_compute_capability(gpu_devices[0])
# In the CI pipeline we have a P4000, with compute capability 6.1
assert result == (6, 1)
@pytest.mark.cpu
def test_gpu_compute_capability_no_gpu():
# Create a fake device
gpu_device = tf.config.PhysicalDevice("gpu:1", "GPU")
result = IO_utils.get_gpu_compute_capability(gpu_device)
assert result == (0, 0)
| 25.521739 | 69 | 0.741056 | 91 | 587 | 4.527473 | 0.417582 | 0.206311 | 0.194175 | 0.167476 | 0.376214 | 0.203884 | 0.203884 | 0.203884 | 0.203884 | 0 | 0 | 0.02444 | 0.163543 | 587 | 22 | 70 | 26.681818 | 0.814664 | 0.143101 | 0 | 0 | 0 | 0 | 0.022 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.153846 | false | 0 | 0.230769 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b24e29ec29455434be49fc2d2668dacb978f4b5c | 177 | py | Python | clara_bootstrap/__init__.py | royarzun/clara-bootstrap | 039f619a840a77a350a751a61f72a6c512d2be44 | [
"MIT"
] | null | null | null | clara_bootstrap/__init__.py | royarzun/clara-bootstrap | 039f619a840a77a350a751a61f72a6c512d2be44 | [
"MIT"
] | 3 | 2016-08-21T04:24:06.000Z | 2016-08-25T13:41:41.000Z | clara_bootstrap/__init__.py | royarzun/clara-bootstrap | 039f619a840a77a350a751a61f72a6c512d2be44 | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import glob
__author__ = 'royarzun'
__version__ = '1.3.5'
__all__ = [os.path.basename(f)[:-3] for f in glob.glob(os.path.dirname(__file__) + "/*.py")]
| 22.125 | 92 | 0.677966 | 29 | 177 | 3.586207 | 0.724138 | 0.115385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 0.124294 | 177 | 7 | 93 | 25.285714 | 0.63871 | 0.067797 | 0 | 0 | 0 | 0 | 0.110429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
b254e05bd4217b7065454d91e44ced06595e6a9f | 118 | py | Python | rllib/agents/ddpg/apex.py | jianoaix/ray | 1701b923bc83905f8961c06a6a173e3eba46a936 | [
"Apache-2.0"
] | null | null | null | rllib/agents/ddpg/apex.py | jianoaix/ray | 1701b923bc83905f8961c06a6a173e3eba46a936 | [
"Apache-2.0"
] | null | null | null | rllib/agents/ddpg/apex.py | jianoaix/ray | 1701b923bc83905f8961c06a6a173e3eba46a936 | [
"Apache-2.0"
] | null | null | null | from ray.rllib.algorithms.apex_ddpg import ( # noqa
ApexDDPG as ApexDDPGTrainer,
APEX_DDPG_DEFAULT_CONFIG,
)
| 23.6 | 52 | 0.762712 | 15 | 118 | 5.733333 | 0.866667 | 0.186047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169492 | 118 | 4 | 53 | 29.5 | 0.877551 | 0.033898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b25f49a14bb7b7d530789e5c680ac8ca7ba476b7 | 7,850 | py | Python | omnifig/top.py | felixludos/omni-f | 0bbe0bc362c332483877eff3a19266b60c175ad4 | [
"MIT"
] | 1 | 2021-04-13T14:01:48.000Z | 2021-04-13T14:01:48.000Z | omnifig/top.py | felixludos/omni-f | 0bbe0bc362c332483877eff3a19266b60c175ad4 | [
"MIT"
] | null | null | null | omnifig/top.py | felixludos/omni-f | 0bbe0bc362c332483877eff3a19266b60c175ad4 | [
"MIT"
] | 1 | 2021-11-24T13:36:41.000Z | 2021-11-24T13:36:41.000Z |
import sys, os
from omnibelt import get_printer, resolve_order, monkey_patch
from .external import include_files
from .util import global_settings
prt = get_printer(__name__)
# region Projects
from .loading import get_profile
def get_current_project():
'''Get the current project, assuming a profile is loaded, otherwise returns None'''
return get_profile().get_current_project()
def get_project(ident=None):
'''Checks the profile to return (and possibly load) a project given the name or path ``ident``'''
return get_profile().get_project(ident)
# endregion
# region Running
def entry(script_name=None):
'''
Recommended entry point when running a script from the terminal.
This is also the entry point for the ``fig`` command.
This collects the command line arguments in ``sys.argv`` and overrides the
given script with ``script_name`` if it is provided
:param script_name: script to be run (may be set with arguments) (overrides other arguments if provided)
:return: None
'''
argv = sys.argv[1:]
main(*argv, script_name=script_name)
def main(*argv, script_name=None):
'''
Runs the desired script using the provided ``argv`` which are treated as command line arguments
Before running the script, this function initializes ``omni-fig`` using :func:`initialize()`,
and then cleans up after running using :func:`cleanup()`.
:param argv: raw arguments as if passed in through the terminal
:param script_name: name of registered script to be run (may be set with arguments) (overrides other arguments if provided)
:return: output of script that is run
'''
initialize()
project = get_current_project()
config = project.process_argv(argv, script_name=script_name)
out = project.run(config=config)
cleanup()
return out
def run(script_name, config, **meta):
'''
Runs the specified script registered with ``script_name`` using the current project.
:param script_name: must be registered in the current project or defaults to the profile
:param config: config object passed to the script
:param meta: any meta rules that modify the way the script is run
:return: output of the script, raises MissingScriptError if the script is not found
'''
return get_current_project().run(script_name=script_name, config=config, **meta)
def quick_run(script_name, *parents, **args):
'''
Convenience function to run a simple script without a given config object,
instead the config is entirely created using the provided ``parents`` and ``args``.
:param script_name: name of registered script that is to be run
:param parents: any names of registered configs to load
:param args: any additional arguments to be provided manually
:return: script output
'''
config = get_config(*parents, **args)
return run(script_name, config)
def initialize(*projects, **overrides):
'''
Initializes omni-fig by running the "princeps" file (if one exists),
loading the profile, and any active projects. Additionally loads the
project in the current working directory (by default).
Generally, this function should be run before running any scripts, as it should register all
necessary scripts, components, and configs when loading a project. It is automatically called
when running the :func:`main()` function (ie. running through the terminal). However, when
starting scripts from other environments (such as in a jupyter notebook), this should be called
manually after importing ``omnifig``.
:param projects: additional projects that should be initialized
:param overrides: settings to be checked before defaulting to ``os.environ`` or global settings
:return: None
'''
# princeps script
princeps_path = resolve_order(global_settings['princeps_path'], overrides, os.environ)
if not global_settings['disable_princeps'] and princeps_path is not None:
try:
include_files(princeps_path)
except Exception as e:
prt.critical(f'Failed to run princeps: {princeps_path}')
raise e
# load profile
profile = get_profile(**overrides)
# load project/s
profile.initialize()
for proj in projects:
profile.load_project(proj)
def cleanup(**overrides):
'''
Cleans up the projects and profile, which by default just updates the project/profile info
yaml file if new information was added to the project/profile.
Generally, this should be run after running any desired scripts.
:param overrides: settings to check before defaulting to global settings or ``os.environ``
:return: None
'''
get_profile(**overrides).cleanup()
# endregion
# region Create
def get_config(*contents, **parameters):
'''
Process the provided info using the current project into a config object.
:param contents: usually a list of parent configs to be merged
:param parameters: any manual parameters to include in the config object
:return: config object
'''
return get_current_project().create_config(*contents, **parameters)
def create_component(config):
'''
Create a component using the current project
:param config: Must contain a "_type" parameter with the name of a registered component
:return: the created component
'''
return get_current_project().create_component(config)
def quick_create(_type, *parents, **parameters):
'''
Creates a component without an explicit config object. Effectively combines `get_config()` and `create_component()`
:param _type:
:param parents:
:param parameters:
:return:
'''
proj = get_current_project()
config = proj.create_config(*parents, **parameters)
config.push('_type', _type, silent=True)
return proj.create_component(config)
# endregion
# region Registration
def register_script(name, fn, description=None, use_config=False):
'''Manually register a new script to the current project'''
monkey_patch(fn)
return get_current_project().register_script(name, fn, description=description, use_config=use_config)
def register_component(name, fn, description=None):
'''Manually register a new component to the current project'''
return get_current_project().register_component(name, fn, description=description)
def register_modifier(name, fn, description=None, expects_config=False):
'''Manually register a new modifier to the current project'''
return get_current_project().register_modifier(name, fn, description=description, expects_config=expects_config)
def register_config(name, path):
'''Manually register a new config file to the current project'''
return get_current_project().register_config(name, path)
def register_config_dir(path, recursive=True, prefix=None, joiner='/'):
'''Manually register a new config directory to the current project'''
return get_current_project().register_config_dir(path, recursive=recursive, prefix=prefix, joiner=joiner)
# endregion
# region Artifacts
def has_script(name):
return get_current_project().has_script(name)
def find_script(name):
return get_current_project().find_script(name)
def view_scripts():
return get_current_project().view_scripts()
def has_component(name):
return get_current_project().has_component(name)
def find_component(name):
return get_current_project().find_component(name)
def view_components():
return get_current_project().view_components()
def has_modifier(name):
return get_current_project().has_modifier(name)
def find_modifier(name):
return get_current_project().find_modifier(name)
def view_modifiers():
return get_current_project().view_modifiers()
def has_config(name):
return get_current_project().has_config(name)
def find_config(name):
return get_current_project().find_config(name)
def view_configs():
return get_current_project().view_configs()
# endregion
| 32.708333 | 125 | 0.746369 | 1,075 | 7,850 | 5.307907 | 0.203721 | 0.083421 | 0.071504 | 0.080617 | 0.23817 | 0.138451 | 0.074658 | 0.062741 | 0.062741 | 0.045216 | 0 | 0.000153 | 0.165605 | 7,850 | 239 | 126 | 32.845188 | 0.870992 | 0.496433 | 0 | 0 | 0 | 0 | 0.020904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.337349 | false | 0 | 0.060241 | 0.144578 | 0.698795 | 0.024096 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
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