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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8eb5051f9e22eb17c84911041d0ca26223d6a3ee | 35 | py | Python | mocmg/__init__.py | KyleVaughn/mocmg | 228f1ab751c5f584b51cd047bd9b37e2252eb629 | [
"MIT"
] | null | null | null | mocmg/__init__.py | KyleVaughn/mocmg | 228f1ab751c5f584b51cd047bd9b37e2252eb629 | [
"MIT"
] | null | null | null | mocmg/__init__.py | KyleVaughn/mocmg | 228f1ab751c5f584b51cd047bd9b37e2252eb629 | [
"MIT"
] | null | null | null | from .initialize import initialize
| 17.5 | 34 | 0.857143 | 4 | 35 | 7.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 35 | 1 | 35 | 35 | 0.967742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8ecccbaa1e35ec5efff17a98d9443b091b64e4e6 | 47 | py | Python | txjsonrpc/scripts/getVersion.py | aborilov/txjsonrpc | 9501ab023a51ca6f3e37fcad3c9c9ff04223986b | [
"MIT"
] | null | null | null | txjsonrpc/scripts/getVersion.py | aborilov/txjsonrpc | 9501ab023a51ca6f3e37fcad3c9c9ff04223986b | [
"MIT"
] | 1 | 2015-08-26T06:26:48.000Z | 2015-08-26T11:17:21.000Z | txjsonrpc/scripts/getVersion.py | aborilov/txjsonrpc | 9501ab023a51ca6f3e37fcad3c9c9ff04223986b | [
"MIT"
] | null | null | null | from txjsonrpc import meta
print meta.version
| 11.75 | 26 | 0.829787 | 7 | 47 | 5.571429 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148936 | 47 | 3 | 27 | 15.666667 | 0.975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.5 | null | null | 0.5 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
d6ff014ddb8494aef9139c8e80a06a868f746205 | 63 | py | Python | cache/__init__.py | inktrap/async-cache | ebf289bdcd468e41638880c9b4fdabca858ae20b | [
"MIT"
] | 31 | 2020-04-27T13:15:00.000Z | 2022-03-11T07:44:30.000Z | cache/__init__.py | inktrap/async-cache | ebf289bdcd468e41638880c9b4fdabca858ae20b | [
"MIT"
] | 11 | 2020-04-27T12:28:37.000Z | 2022-03-09T09:42:52.000Z | cache/__init__.py | inktrap/async-cache | ebf289bdcd468e41638880c9b4fdabca858ae20b | [
"MIT"
] | 15 | 2020-05-03T14:52:48.000Z | 2022-02-25T15:50:49.000Z | from .async_lru import AsyncLRU
from .async_ttl import AsyncTTL | 31.5 | 31 | 0.857143 | 10 | 63 | 5.2 | 0.7 | 0.346154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 63 | 2 | 32 | 31.5 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
d922a5357db7f5d19332f0b419bec7ca00fb729e | 2,997 | py | Python | tests/test_iterators/test_batches.py | theRealSuperMario/edflow | 550e294ff9844c11dfe35d6920b705bde0add35f | [
"MIT"
] | 23 | 2019-04-04T07:52:57.000Z | 2022-02-02T03:11:07.000Z | tests/test_iterators/test_batches.py | theRealSuperMario/edflow | 550e294ff9844c11dfe35d6920b705bde0add35f | [
"MIT"
] | 149 | 2019-04-04T09:53:01.000Z | 2020-07-21T16:55:32.000Z | tests/test_iterators/test_batches.py | ArWeHei/edflow | 3383cfbc42a43e906bc7781ad05714fd4fc9616e | [
"MIT"
] | 12 | 2019-04-04T07:52:58.000Z | 2020-08-28T12:30:03.000Z | import pytest
import numpy as np
from edflow.iterators import batches
from edflow.util import get_leaf_names, retrieve
def test_batch_to_canvas():
x = np.ones((9, 100, 100, 3))
canvas = batches.batch_to_canvas(x)
assert canvas.shape == (300, 300, 3)
canvas = batches.batch_to_canvas(x, cols=5)
assert canvas.shape == (200, 500, 3)
canvas = batches.batch_to_canvas(x, cols=1)
assert canvas.shape == (900, 100, 3)
canvas = batches.batch_to_canvas(x, cols=0)
assert canvas.shape == (900, 100, 3)
canvas = batches.batch_to_canvas(x, cols=None)
assert canvas.shape == (300, 300, 3)
def test_deep_lod2dol():
lod = [{"a": 1, "b": {"c": 1, "d": [1, 2]}, "e": [{"a": 1}] * 2}] * 3
dol = batches._deep_lod2dol(lod)
ref = {
"a": np.array([1, 1, 1]),
"b": {
"c": np.array([1, 1, 1]),
"d": [np.array([1, 1, 1]), np.array([2, 2, 2])],
},
"e": [{"a": np.array([1, 1, 1])}] * 2,
}
assert get_leaf_names(dol) == get_leaf_names(ref)
for k in get_leaf_names(dol):
assert all(retrieve(dol, k) == retrieve(ref, k))
def test_deep_lod2dol_wrong_inputs():
lod = [[1, 2, 3], {"a": 1}]
with pytest.raises(TypeError):
dol = batches._deep_lod2dol(lod)
lod = {"a": [1, 2, 3], "b": {"a": 1}}
with pytest.raises(TypeError):
dol = batches._deep_lod2dol(lod)
def test_deep_lod2dol_v2():
lod = [{"a": 1, "b": {"c": 1, "d": [1, 2]}, "e": [{"a": 1}] * 2}] * 3
dol = batches._deep_lod2dol_v2(lod)
ref = {
"a": np.array([1, 1, 1]),
"b": {
"c": np.array([1, 1, 1]),
"d": [np.array([1, 1, 1]), np.array([2, 2, 2])],
},
"e": [{"a": np.array([1, 1, 1])}] * 2,
}
assert get_leaf_names(dol) == get_leaf_names(ref)
for k in get_leaf_names(dol):
assert all(retrieve(dol, k) == retrieve(ref, k))
def test_deep_lod2dol_v2_wrong_inputs():
lod = [[1, 2, 3], {"a": 1}]
with pytest.raises(TypeError):
dol = batches._deep_lod2dol_v2(lod)
lod = {"a": [1, 2, 3], "b": {"a": 1}}
with pytest.raises(TypeError):
dol = batches._deep_lod2dol_v2(lod)
def test_deep_lod2dol_v3():
lod = [{"a": 1, "b": {"c": 1, "d": [1, 2]}, "e": [{"a": 1}] * 2}] * 3
dol = batches._deep_lod2dol_v3(lod)
ref = {
"a": np.array([1, 1, 1]),
"b": {
"c": np.array([1, 1, 1]),
"d": [np.array([1, 1, 1]), np.array([2, 2, 2])],
},
"e": [{"a": np.array([1, 1, 1])}] * 2,
}
assert get_leaf_names(dol) == get_leaf_names(ref)
for k in get_leaf_names(dol):
assert all(retrieve(dol, k) == retrieve(ref, k))
def test_deep_lod2dol_v3_wrong_inputs():
lod = [[1, 2, 3], {"a": 1}]
with pytest.raises(Exception):
dol = batches._deep_lod2dol_v3(lod)
lod = {"a": [1, 2, 3], "b": {"a": 1}}
with pytest.raises(Exception):
dol = batches._deep_lod2dol_v3(lod)
| 25.184874 | 73 | 0.523857 | 463 | 2,997 | 3.220302 | 0.12743 | 0.032193 | 0.064386 | 0.072435 | 0.880617 | 0.851107 | 0.816901 | 0.816901 | 0.753186 | 0.753186 | 0 | 0.074444 | 0.264932 | 2,997 | 118 | 74 | 25.398305 | 0.60236 | 0 | 0 | 0.696203 | 0 | 0 | 0.016016 | 0 | 0 | 0 | 0 | 0 | 0.139241 | 1 | 0.088608 | false | 0 | 0.050633 | 0 | 0.139241 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
d9499e093bbc0fba2648a3e4db4b3875d4b1766a | 60 | py | Python | wpcv/plp/__init__.py | Peiiii/wpcv | 56ed5327b921c52cd666c76bc204ac9ee5e5d150 | [
"MIT"
] | null | null | null | wpcv/plp/__init__.py | Peiiii/wpcv | 56ed5327b921c52cd666c76bc204ac9ee5e5d150 | [
"MIT"
] | null | null | null | wpcv/plp/__init__.py | Peiiii/wpcv | 56ed5327b921c52cd666c76bc204ac9ee5e5d150 | [
"MIT"
] | null | null | null | from .base import *
from .utils import *
from .data import * | 20 | 20 | 0.716667 | 9 | 60 | 4.777778 | 0.555556 | 0.465116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183333 | 60 | 3 | 21 | 20 | 0.877551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
79b1613727303a9c7c5cf7e5ac623dc960062b06 | 161 | py | Python | models/__init__.py | dspoka/mnm | f212e8d5697a4556c6469d469a2930b203667828 | [
"MIT"
] | 1 | 2021-07-08T04:18:30.000Z | 2021-07-08T04:18:30.000Z | models/__init__.py | dspoka/mnm | f212e8d5697a4556c6469d469a2930b203667828 | [
"MIT"
] | 1 | 2021-08-24T03:36:53.000Z | 2021-08-24T03:36:53.000Z | models/__init__.py | dspoka/mnm | f212e8d5697a4556c6469d469a2930b203667828 | [
"MIT"
] | 1 | 2021-07-08T04:18:32.000Z | 2021-07-08T04:18:32.000Z | from .gmm_bert import GMMBert
from .exponent_bert import ExponentBert
from .log_bert import LogBert
from .flow_bert import FlowBert
from .dis_bert import DisBert | 32.2 | 39 | 0.850932 | 25 | 161 | 5.28 | 0.52 | 0.378788 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.118012 | 161 | 5 | 40 | 32.2 | 0.929577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8ddae88ae54e171093ed26975f51f8dcb7379ab8 | 25 | py | Python | examples/import_example/example_resource.py | alisaifee/hug | bfd9b56fb5ce2a8c994219fa5941c28bc7f37bab | [
"MIT"
] | null | null | null | examples/import_example/example_resource.py | alisaifee/hug | bfd9b56fb5ce2a8c994219fa5941c28bc7f37bab | [
"MIT"
] | null | null | null | examples/import_example/example_resource.py | alisaifee/hug | bfd9b56fb5ce2a8c994219fa5941c28bc7f37bab | [
"MIT"
] | null | null | null | def hi():
return "hi" | 12.5 | 15 | 0.52 | 4 | 25 | 3.25 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.28 | 25 | 2 | 15 | 12.5 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0.5 | 1 | 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 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 |
8ddcf730b5073825e7c0d30b75197fd2e5e78d9d | 1,050 | py | Python | tests/test_main_handler.py | MazeFX/irdb | bf71c18d70aa2f999cfd63b5ebdc735cf3848eea | [
"MIT"
] | null | null | null | tests/test_main_handler.py | MazeFX/irdb | bf71c18d70aa2f999cfd63b5ebdc735cf3848eea | [
"MIT"
] | null | null | null | tests/test_main_handler.py | MazeFX/irdb | bf71c18d70aa2f999cfd63b5ebdc735cf3848eea | [
"MIT"
] | null | null | null | import pytest
import urllib
import tornado
@pytest.mark.gen_test
def test_main_handler_get(http_client, base_url):
with pytest.raises(tornado.httpclient.HTTPClientError):
response = yield http_client.fetch(base_url, follow_redirects=False)
@pytest.mark.gen_test
def test_main_handler_post(http_client, base_url):
test_data = {"Rock": "Stars"}
body = urllib.parse.urlencode(test_data)
with pytest.raises(tornado.httpclient.HTTPClientError):
response = yield http_client.fetch(base_url, method="POST", body=body)
@pytest.mark.gen_test
def test_main_handler_put(http_client, base_url):
test_data = {"Rock": "Stars"}
body = urllib.parse.urlencode(test_data)
with pytest.raises(tornado.httpclient.HTTPClientError):
response = yield http_client.fetch(base_url, method="PUT", body=body)
@pytest.mark.gen_test
def test_main_handler_delete(http_client, base_url):
with pytest.raises(tornado.httpclient.HTTPClientError):
response = yield http_client.fetch(base_url, method="DELETE")
| 28.378378 | 78 | 0.757143 | 143 | 1,050 | 5.300699 | 0.244755 | 0.105541 | 0.068602 | 0.08971 | 0.886544 | 0.886544 | 0.886544 | 0.886544 | 0.794195 | 0.794195 | 0 | 0 | 0.13619 | 1,050 | 36 | 79 | 29.166667 | 0.835722 | 0 | 0 | 0.521739 | 0 | 0 | 0.029552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.173913 | false | 0 | 0.130435 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
8dded1ed081be73e31b1a7064b301ca5ae2453a2 | 96 | py | Python | 8kyu/function1_hello_world.py | nhsz/codewars | 82703959e910254d6feff4162f78c6dbd7a1c3ed | [
"MIT"
] | 1 | 2018-12-02T23:04:38.000Z | 2018-12-02T23:04:38.000Z | 8kyu/function1_hello_world.py | nhsz/codewars | 82703959e910254d6feff4162f78c6dbd7a1c3ed | [
"MIT"
] | null | null | null | 8kyu/function1_hello_world.py | nhsz/codewars | 82703959e910254d6feff4162f78c6dbd7a1c3ed | [
"MIT"
] | null | null | null | # http://www.codewars.com/kata/523b4ff7adca849afe000035/
def greet():
return "hello world"
| 19.2 | 56 | 0.729167 | 11 | 96 | 6.363636 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 0.125 | 96 | 4 | 57 | 24 | 0.666667 | 0.5625 | 0 | 0 | 0 | 0 | 0.275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0.5 | 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 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
5c1d0e70f29c7838d81e6ee102358ef9b46a9191 | 249 | py | Python | trame/layouts/__init__.py | DavidBerger98/trame | 60d521338559d4c9434073ed3818afd9f1411a90 | [
"BSD-3-Clause"
] | null | null | null | trame/layouts/__init__.py | DavidBerger98/trame | 60d521338559d4c9434073ed3818afd9f1411a90 | [
"BSD-3-Clause"
] | null | null | null | trame/layouts/__init__.py | DavidBerger98/trame | 60d521338559d4c9434073ed3818afd9f1411a90 | [
"BSD-3-Clause"
] | null | null | null | from .core import (
AbstractLayout,
FullScreenPage,
SinglePage,
SinglePageWithDrawer,
update_layout,
)
__all__ = [
"AbstractLayout",
"FullScreenPage",
"SinglePage",
"SinglePageWithDrawer",
"update_layout",
]
| 15.5625 | 27 | 0.654618 | 16 | 249 | 9.8125 | 0.625 | 0.356688 | 0.484076 | 0.738854 | 0.89172 | 0.89172 | 0 | 0 | 0 | 0 | 0 | 0 | 0.240964 | 249 | 15 | 28 | 16.6 | 0.830688 | 0 | 0 | 0 | 0 | 0 | 0.285141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 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 | 0 | 0 | 0 | 6 |
30abaed2520de216a22346dafe09ee6cff668059 | 100 | py | Python | cgtools/mesh/intersections.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | 10 | 2019-05-02T14:08:32.000Z | 2021-03-15T16:07:19.000Z | cgtools/mesh/intersections.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | null | null | null | cgtools/mesh/intersections.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | 3 | 2019-05-02T14:08:33.000Z | 2021-02-10T03:47:29.000Z | from ._intersections_ext import ray_mesh_intersect, closest_points_on_mesh, ray_mesh_intersect_fast
| 50 | 99 | 0.91 | 15 | 100 | 5.4 | 0.733333 | 0.17284 | 0.395062 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06 | 100 | 1 | 100 | 100 | 0.861702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a509f3786cfa89d874ae7dd75d54f89602c3c5a4 | 80 | py | Python | azrael/__init__.py | xyla-io/azrael | b0c484ff963b850ac89a54f55e2c61873be38768 | [
"MIT"
] | null | null | null | azrael/__init__.py | xyla-io/azrael | b0c484ff963b850ac89a54f55e2c61873be38768 | [
"MIT"
] | null | null | null | azrael/__init__.py | xyla-io/azrael | b0c484ff963b850ac89a54f55e2c61873be38768 | [
"MIT"
] | null | null | null | from azrael.api import SnapchatAPI
from azrael.reporting import SnapchatReporter | 40 | 45 | 0.8875 | 10 | 80 | 7.1 | 0.7 | 0.28169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0875 | 80 | 2 | 45 | 40 | 0.972603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
eb4ef5762e1a5352a28e4e8fdc9c8c1364ae7de4 | 36 | py | Python | precision_search/trainer/__init__.py | EmbeddedML-EDAGroup/Q-PPG | ed42829d0a456db4f0b31d63ba8b22ba483c7b08 | [
"Apache-2.0"
] | 1 | 2021-12-18T21:04:29.000Z | 2021-12-18T21:04:29.000Z | precision_search/trainer/__init__.py | EmbeddedML-EDAGroup/Q-PPG | ed42829d0a456db4f0b31d63ba8b22ba483c7b08 | [
"Apache-2.0"
] | null | null | null | precision_search/trainer/__init__.py | EmbeddedML-EDAGroup/Q-PPG | ed42829d0a456db4f0b31d63ba8b22ba483c7b08 | [
"Apache-2.0"
] | null | null | null | from .TEMPONetDaliaTrainer import *
| 18 | 35 | 0.833333 | 3 | 36 | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 36 | 1 | 36 | 36 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
eb767a5e5e13120b4d2be427d3bf92e19bda6223 | 49,963 | py | Python | profiles/e_confirmation/xb_request/_ext.py | getodacu/eSENS-eDocument | e43bc9800070421de389d4826245dc0a48d387c4 | [
"MIT"
] | null | null | null | profiles/e_confirmation/xb_request/_ext.py | getodacu/eSENS-eDocument | e43bc9800070421de389d4826245dc0a48d387c4 | [
"MIT"
] | null | null | null | profiles/e_confirmation/xb_request/_ext.py | getodacu/eSENS-eDocument | e43bc9800070421de389d4826245dc0a48d387c4 | [
"MIT"
] | null | null | null | # ./_ext.py
# -*- coding: utf-8 -*-
# PyXB bindings for NM:d82937bf083ca454ba5857f319e6717eabb00597
# Generated 2015-02-11 21:35:49.974620 by PyXB version 1.2.4 using Python 2.6.9.final.0
# Namespace urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2 [xmlns:ext]
from __future__ import unicode_literals
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import io
import pyxb.utils.utility
import pyxb.utils.domutils
import sys
import pyxb.utils.six as _six
# Unique identifier for bindings created at the same time
_GenerationUID = pyxb.utils.utility.UniqueIdentifier('urn:uuid:2b2e2fd1-b225-11e4-b26c-14109fe53921')
# Version of PyXB used to generate the bindings
_PyXBVersion = '1.2.4'
# Generated bindings are not compatible across PyXB versions
if pyxb.__version__ != _PyXBVersion:
raise pyxb.PyXBVersionError(_PyXBVersion)
# Import bindings for namespaces imported into schema
import pyxb.binding.datatypes
import _cbc as _ImportedBinding__cbc
import _udt as _ImportedBinding__udt
# NOTE: All namespace declarations are reserved within the binding
Namespace = pyxb.namespace.NamespaceForURI('urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2', create_if_missing=True)
Namespace.configureCategories(['typeBinding', 'elementBinding'])
_Namespace_cbc = _ImportedBinding__cbc.Namespace
_Namespace_cbc.configureCategories(['typeBinding', 'elementBinding'])
def CreateFromDocument (xml_text, default_namespace=None, location_base=None):
"""Parse the given XML and use the document element to create a
Python instance.
@param xml_text An XML document. This should be data (Python 2
str or Python 3 bytes), or a text (Python 2 unicode or Python 3
str) in the L{pyxb._InputEncoding} encoding.
@keyword default_namespace The L{pyxb.Namespace} instance to use as the
default namespace where there is no default namespace in scope.
If unspecified or C{None}, the namespace of the module containing
this function will be used.
@keyword location_base: An object to be recorded as the base of all
L{pyxb.utils.utility.Location} instances associated with events and
objects handled by the parser. You might pass the URI from which
the document was obtained.
"""
if pyxb.XMLStyle_saxer != pyxb._XMLStyle:
dom = pyxb.utils.domutils.StringToDOM(xml_text)
return CreateFromDOM(dom.documentElement, default_namespace=default_namespace)
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
saxer = pyxb.binding.saxer.make_parser(fallback_namespace=default_namespace, location_base=location_base)
handler = saxer.getContentHandler()
xmld = xml_text
if isinstance(xmld, _six.text_type):
xmld = xmld.encode(pyxb._InputEncoding)
saxer.parse(io.BytesIO(xmld))
instance = handler.rootObject()
return instance
def CreateFromDOM (node, default_namespace=None):
"""Create a Python instance from the given DOM node.
The node tag must correspond to an element declaration in this module.
@deprecated: Forcing use of DOM interface is unnecessary; use L{CreateFromDocument}."""
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
return pyxb.binding.basis.element.AnyCreateFromDOM(node, default_namespace)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}UBLExtensionsType with content type ELEMENT_ONLY
class UBLExtensionsType (pyxb.binding.basis.complexTypeDefinition):
"""
A container for all extensions present in the document.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'UBLExtensionsType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 28, 2)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}UBLExtension uses Python identifier UBLExtension
__UBLExtension = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'UBLExtension'), 'UBLExtension', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionsType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2UBLExtension', True, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 44, 2), )
UBLExtension = property(__UBLExtension.value, __UBLExtension.set, None, '\n A single extension for private use.\n ')
_ElementMap.update({
__UBLExtension.name() : __UBLExtension
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'UBLExtensionsType', UBLExtensionsType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}UBLExtensionType with content type ELEMENT_ONLY
class UBLExtensionType (pyxb.binding.basis.complexTypeDefinition):
"""
A single extension for private use.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'UBLExtensionType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 51, 2)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-2}ID uses Python identifier ID
__ID = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(_Namespace_cbc, 'ID'), 'ID', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonBasicComponents_2ID', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonBasicComponents-2.1.xsd', 341, 3), )
ID = property(__ID.value, __ID.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-2}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(_Namespace_cbc, 'Name'), 'Name', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonBasicComponents_2Name', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonBasicComponents-2.1.xsd', 475, 3), )
Name = property(__Name.value, __Name.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyID uses Python identifier ExtensionAgencyID
__ExtensionAgencyID = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyID'), 'ExtensionAgencyID', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionAgencyID', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 131, 2), )
ExtensionAgencyID = property(__ExtensionAgencyID.value, __ExtensionAgencyID.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyName uses Python identifier ExtensionAgencyName
__ExtensionAgencyName = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyName'), 'ExtensionAgencyName', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionAgencyName', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 132, 2), )
ExtensionAgencyName = property(__ExtensionAgencyName.value, __ExtensionAgencyName.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyURI uses Python identifier ExtensionAgencyURI
__ExtensionAgencyURI = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyURI'), 'ExtensionAgencyURI', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionAgencyURI', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 133, 2), )
ExtensionAgencyURI = property(__ExtensionAgencyURI.value, __ExtensionAgencyURI.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionContent uses Python identifier ExtensionContent
__ExtensionContent = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionContent'), 'ExtensionContent', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionContent', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 134, 2), )
ExtensionContent = property(__ExtensionContent.value, __ExtensionContent.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionReason uses Python identifier ExtensionReason
__ExtensionReason = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReason'), 'ExtensionReason', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionReason', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 135, 2), )
ExtensionReason = property(__ExtensionReason.value, __ExtensionReason.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionReasonCode uses Python identifier ExtensionReasonCode
__ExtensionReasonCode = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReasonCode'), 'ExtensionReasonCode', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionReasonCode', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 136, 2), )
ExtensionReasonCode = property(__ExtensionReasonCode.value, __ExtensionReasonCode.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionURI uses Python identifier ExtensionURI
__ExtensionURI = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionURI'), 'ExtensionURI', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionURI', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 137, 2), )
ExtensionURI = property(__ExtensionURI.value, __ExtensionURI.set, None, None)
# Element {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionVersionID uses Python identifier ExtensionVersionID
__ExtensionVersionID = pyxb.binding.content.ElementDeclaration(pyxb.namespace.ExpandedName(Namespace, 'ExtensionVersionID'), 'ExtensionVersionID', '__urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2_UBLExtensionType_urnoasisnamesspecificationublschemaxsdCommonExtensionComponents_2ExtensionVersionID', False, pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 138, 2), )
ExtensionVersionID = property(__ExtensionVersionID.value, __ExtensionVersionID.set, None, None)
_ElementMap.update({
__ID.name() : __ID,
__Name.name() : __Name,
__ExtensionAgencyID.name() : __ExtensionAgencyID,
__ExtensionAgencyName.name() : __ExtensionAgencyName,
__ExtensionAgencyURI.name() : __ExtensionAgencyURI,
__ExtensionContent.name() : __ExtensionContent,
__ExtensionReason.name() : __ExtensionReason,
__ExtensionReasonCode.name() : __ExtensionReasonCode,
__ExtensionURI.name() : __ExtensionURI,
__ExtensionVersionID.name() : __ExtensionVersionID
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'UBLExtensionType', UBLExtensionType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionContentType with content type ELEMENT_ONLY
class ExtensionContentType (pyxb.binding.basis.complexTypeDefinition):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionContentType with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionContentType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-ExtensionContentDataType-2.1.xsd', 22, 2)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
_HasWildcardElement = True
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionContentType', ExtensionContentType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyIDType with content type SIMPLE
class ExtensionAgencyIDType (_ImportedBinding__udt.IdentifierType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyIDType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.normalizedString
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyIDType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 139, 2)
_ElementMap = _ImportedBinding__udt.IdentifierType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.IdentifierType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.IdentifierType
# Attribute schemeID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeVersionID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeDataURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionAgencyIDType', ExtensionAgencyIDType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyNameType with content type SIMPLE
class ExtensionAgencyNameType (_ImportedBinding__udt.TextType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyNameType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.string
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyNameType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 144, 2)
_ElementMap = _ImportedBinding__udt.TextType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.TextType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.TextType
# Attribute languageID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}TextType
# Attribute languageLocaleID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}TextType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionAgencyNameType', ExtensionAgencyNameType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyURIType with content type SIMPLE
class ExtensionAgencyURIType (_ImportedBinding__udt.IdentifierType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionAgencyURIType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.normalizedString
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyURIType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 149, 2)
_ElementMap = _ImportedBinding__udt.IdentifierType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.IdentifierType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.IdentifierType
# Attribute schemeID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeVersionID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeDataURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionAgencyURIType', ExtensionAgencyURIType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionReasonType with content type SIMPLE
class ExtensionReasonType (_ImportedBinding__udt.TextType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionReasonType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.string
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionReasonType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 154, 2)
_ElementMap = _ImportedBinding__udt.TextType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.TextType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.TextType
# Attribute languageID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}TextType
# Attribute languageLocaleID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}TextType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionReasonType', ExtensionReasonType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionReasonCodeType with content type SIMPLE
class ExtensionReasonCodeType (_ImportedBinding__udt.CodeType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionReasonCodeType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.normalizedString
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionReasonCodeType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 159, 2)
_ElementMap = _ImportedBinding__udt.CodeType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.CodeType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.CodeType
# Attribute listID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute listAgencyID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute listAgencyName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute listName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute listVersionID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute name inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute languageID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute listURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
# Attribute listSchemeURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}CodeType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionReasonCodeType', ExtensionReasonCodeType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionURIType with content type SIMPLE
class ExtensionURIType (_ImportedBinding__udt.IdentifierType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionURIType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.normalizedString
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionURIType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 164, 2)
_ElementMap = _ImportedBinding__udt.IdentifierType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.IdentifierType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.IdentifierType
# Attribute schemeID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeVersionID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeDataURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionURIType', ExtensionURIType)
# Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionVersionIDType with content type SIMPLE
class ExtensionVersionIDType (_ImportedBinding__udt.IdentifierType):
"""Complex type {urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2}ExtensionVersionIDType with content type SIMPLE"""
_TypeDefinition = pyxb.binding.datatypes.normalizedString
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'ExtensionVersionIDType')
_XSDLocation = pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 169, 2)
_ElementMap = _ImportedBinding__udt.IdentifierType._ElementMap.copy()
_AttributeMap = _ImportedBinding__udt.IdentifierType._AttributeMap.copy()
# Base type is _ImportedBinding__udt.IdentifierType
# Attribute schemeID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeAgencyName inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeVersionID inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeDataURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
# Attribute schemeURI inherited from {urn:un:unece:uncefact:data:specification:CoreComponentTypeSchemaModule:2}IdentifierType
_ElementMap.update({
})
_AttributeMap.update({
})
Namespace.addCategoryObject('typeBinding', 'ExtensionVersionIDType', ExtensionVersionIDType)
UBLExtensions = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UBLExtensions'), UBLExtensionsType, documentation='\n A container for all extensions present in the document.\n ', location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 21, 2))
Namespace.addCategoryObject('elementBinding', UBLExtensions.name().localName(), UBLExtensions)
UBLExtension = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UBLExtension'), UBLExtensionType, documentation='\n A single extension for private use.\n ', location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 44, 2))
Namespace.addCategoryObject('elementBinding', UBLExtension.name().localName(), UBLExtension)
ExtensionContent = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionContent'), ExtensionContentType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 134, 2))
Namespace.addCategoryObject('elementBinding', ExtensionContent.name().localName(), ExtensionContent)
ExtensionAgencyID = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyID'), ExtensionAgencyIDType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 131, 2))
Namespace.addCategoryObject('elementBinding', ExtensionAgencyID.name().localName(), ExtensionAgencyID)
ExtensionAgencyName = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyName'), ExtensionAgencyNameType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 132, 2))
Namespace.addCategoryObject('elementBinding', ExtensionAgencyName.name().localName(), ExtensionAgencyName)
ExtensionAgencyURI = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyURI'), ExtensionAgencyURIType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 133, 2))
Namespace.addCategoryObject('elementBinding', ExtensionAgencyURI.name().localName(), ExtensionAgencyURI)
ExtensionReason = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReason'), ExtensionReasonType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 135, 2))
Namespace.addCategoryObject('elementBinding', ExtensionReason.name().localName(), ExtensionReason)
ExtensionReasonCode = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReasonCode'), ExtensionReasonCodeType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 136, 2))
Namespace.addCategoryObject('elementBinding', ExtensionReasonCode.name().localName(), ExtensionReasonCode)
ExtensionURI = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionURI'), ExtensionURIType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 137, 2))
Namespace.addCategoryObject('elementBinding', ExtensionURI.name().localName(), ExtensionURI)
ExtensionVersionID = pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionVersionID'), ExtensionVersionIDType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 138, 2))
Namespace.addCategoryObject('elementBinding', ExtensionVersionID.name().localName(), ExtensionVersionID)
UBLExtensionsType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'UBLExtension'), UBLExtensionType, scope=UBLExtensionsType, documentation='\n A single extension for private use.\n ', location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 44, 2)))
def _BuildAutomaton ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton
del _BuildAutomaton
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(UBLExtensionsType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'UBLExtension')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 35, 6))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, [
]))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
UBLExtensionsType._Automaton = _BuildAutomaton()
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(_Namespace_cbc, 'ID'), _ImportedBinding__cbc.IDType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonBasicComponents-2.1.xsd', 341, 3)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(_Namespace_cbc, 'Name'), _ImportedBinding__cbc.NameType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonBasicComponents-2.1.xsd', 475, 3)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyID'), ExtensionAgencyIDType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 131, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyName'), ExtensionAgencyNameType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 132, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyURI'), ExtensionAgencyURIType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 133, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionContent'), ExtensionContentType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 134, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReason'), ExtensionReasonType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 135, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReasonCode'), ExtensionReasonCodeType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 136, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionURI'), ExtensionURIType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 137, 2)))
UBLExtensionType._AddElement(pyxb.binding.basis.element(pyxb.namespace.ExpandedName(Namespace, 'ExtensionVersionID'), ExtensionVersionIDType, scope=UBLExtensionType, location=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 138, 2)))
def _BuildAutomaton_ ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_
del _BuildAutomaton_
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 58, 6))
counters.add(cc_0)
cc_1 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 65, 6))
counters.add(cc_1)
cc_2 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 72, 6))
counters.add(cc_2)
cc_3 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 79, 6))
counters.add(cc_3)
cc_4 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 86, 6))
counters.add(cc_4)
cc_5 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 93, 6))
counters.add(cc_5)
cc_6 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 100, 6))
counters.add(cc_6)
cc_7 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 107, 6))
counters.add(cc_7)
cc_8 = fac.CounterCondition(min=0, max=1, metadata=pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 114, 6))
counters.add(cc_8)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(_Namespace_cbc, 'ID')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 58, 6))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(_Namespace_cbc, 'Name')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 65, 6))
st_1 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_1)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyID')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 72, 6))
st_2 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_2)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyName')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 79, 6))
st_3 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_3)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionVersionID')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 86, 6))
st_4 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_4)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionAgencyURI')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 93, 6))
st_5 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_5)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionURI')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 100, 6))
st_6 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_6)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReasonCode')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 107, 6))
st_7 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_7)
final_update = None
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionReason')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 114, 6))
st_8 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_8)
final_update = set()
symbol = pyxb.binding.content.ElementUse(UBLExtensionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, 'ExtensionContent')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-CommonExtensionComponents-2.1.xsd', 121, 6))
st_9 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_9)
transitions = []
transitions.append(fac.Transition(st_0, [
fac.UpdateInstruction(cc_0, True) ]))
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_0, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_0, False) ]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [
fac.UpdateInstruction(cc_1, True) ]))
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_1, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_1, False) ]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [
fac.UpdateInstruction(cc_2, True) ]))
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_2, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_2, False) ]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [
fac.UpdateInstruction(cc_3, True) ]))
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_3, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_3, False) ]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [
fac.UpdateInstruction(cc_4, True) ]))
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_4, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_4, False) ]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_5, [
fac.UpdateInstruction(cc_5, True) ]))
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_5, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_5, False) ]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [
fac.UpdateInstruction(cc_6, True) ]))
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_6, False) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_6, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_6, False) ]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [
fac.UpdateInstruction(cc_7, True) ]))
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_7, False) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_7, False) ]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [
fac.UpdateInstruction(cc_8, True) ]))
transitions.append(fac.Transition(st_9, [
fac.UpdateInstruction(cc_8, False) ]))
st_8._set_transitionSet(transitions)
transitions = []
st_9._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
UBLExtensionType._Automaton = _BuildAutomaton_()
def _BuildAutomaton_2 ():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_2
del _BuildAutomaton_2
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.WildcardUse(pyxb.binding.content.Wildcard(process_contents=pyxb.binding.content.Wildcard.PC_lax, namespace_constraint=(pyxb.binding.content.Wildcard.NC_not, 'urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2')), pyxb.utils.utility.Location('/Users/radu/Projects/esens/edocument/profiles/e_confirmation/xsd/common/UBL-ExtensionContentDataType-2.1.xsd', 24, 6))
st_0 = fac.State(symbol, is_initial=True, final_update=final_update, is_unordered_catenation=False)
states.append(st_0)
transitions = []
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
ExtensionContentType._Automaton = _BuildAutomaton_2()
| 66.974531 | 485 | 0.790405 | 5,335 | 49,963 | 7.244236 | 0.069166 | 0.058528 | 0.027324 | 0.039743 | 0.775383 | 0.758564 | 0.754683 | 0.747878 | 0.728679 | 0.685779 | 0 | 0.016095 | 0.103397 | 49,963 | 745 | 486 | 67.06443 | 0.846642 | 0.225007 | 0 | 0.516411 | 1 | 0.137856 | 0.273764 | 0.235305 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010941 | false | 0 | 0.085339 | 0 | 0.334792 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
691d15409beaf40cf348ad6ae1ec0db46056750b | 251 | py | Python | cfpq_data/graphs/utils/__init__.py | viabzalov/CFPQ_Data | 67239c876897d04ba2f4ef88a75fd4a38a494efa | [
"Apache-2.0"
] | 8 | 2020-03-30T17:47:31.000Z | 2022-01-27T13:36:39.000Z | cfpq_data/graphs/utils/__init__.py | viabzalov/CFPQ_Data | 67239c876897d04ba2f4ef88a75fd4a38a494efa | [
"Apache-2.0"
] | 27 | 2019-10-21T09:31:08.000Z | 2021-11-07T03:19:15.000Z | cfpq_data/graphs/utils/__init__.py | viabzalov/CFPQ_Data | 67239c876897d04ba2f4ef88a75fd4a38a494efa | [
"Apache-2.0"
] | 14 | 2019-10-18T12:49:47.000Z | 2021-08-03T14:20:17.000Z | from cfpq_data.graphs.utils.change_edges import *
from cfpq_data.graphs.utils.filter_edges import *
from cfpq_data.graphs.utils.nodes_to_integers import *
from cfpq_data.graphs.utils.get_labels import *
from cfpq_data.graphs.utils.find_label import *
| 41.833333 | 54 | 0.840637 | 41 | 251 | 4.878049 | 0.390244 | 0.2 | 0.3 | 0.45 | 0.745 | 0.63 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0.079681 | 251 | 5 | 55 | 50.2 | 0.865801 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6955a6ea9fd8fc0658d5de7b9eb2c4664c9443c7 | 47 | py | Python | esprit/__init__.py | tuub/esprit | 3811a091ce6bd39f6001d698d6866e01be924086 | [
"Apache-2.0"
] | null | null | null | esprit/__init__.py | tuub/esprit | 3811a091ce6bd39f6001d698d6866e01be924086 | [
"Apache-2.0"
] | null | null | null | esprit/__init__.py | tuub/esprit | 3811a091ce6bd39f6001d698d6866e01be924086 | [
"Apache-2.0"
] | null | null | null | import mappings, models, raw, dao, util, tasks
| 23.5 | 46 | 0.744681 | 7 | 47 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148936 | 47 | 1 | 47 | 47 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
15db8fd49b5c05ea29e139414c53b8615dfee98b | 41 | py | Python | playserver/wsgi.py | ollien/playserver | 9043c4ae92e382a4c5f83cfd77db21b0dff39404 | [
"MIT"
] | null | null | null | playserver/wsgi.py | ollien/playserver | 9043c4ae92e382a4c5f83cfd77db21b0dff39404 | [
"MIT"
] | null | null | null | playserver/wsgi.py | ollien/playserver | 9043c4ae92e382a4c5f83cfd77db21b0dff39404 | [
"MIT"
] | null | null | null | from webserver import app as application
| 20.5 | 40 | 0.853659 | 6 | 41 | 5.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.146341 | 41 | 1 | 41 | 41 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
15e868d3c6e5688470c408b311414e1914859682 | 230 | py | Python | qroutes/__init__.py | fillet54/qroutes | b411b19d6d9a45227ab7f6fab569c2571bef412a | [
"MIT"
] | null | null | null | qroutes/__init__.py | fillet54/qroutes | b411b19d6d9a45227ab7f6fab569c2571bef412a | [
"MIT"
] | null | null | null | qroutes/__init__.py | fillet54/qroutes | b411b19d6d9a45227ab7f6fab569c2571bef412a | [
"MIT"
] | null | null | null | from .router import wsgi_adapter, site_handler, route_context
from .router import wrap_query_params, wrap_json_response, wrap_config
from .router import redirect, resource_response, not_found_response
from .router import GET, POST | 57.5 | 70 | 0.856522 | 34 | 230 | 5.470588 | 0.617647 | 0.215054 | 0.344086 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095652 | 230 | 4 | 71 | 57.5 | 0.894231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c646a813827bb17386525bc8dda9481d1c853d06 | 3,060 | py | Python | tests/test_user_input.py | raulpy271/pyfunge | e2bea42f0a86579ff7884ce62129eb15f46f9580 | [
"MIT"
] | 2 | 2021-12-05T12:47:09.000Z | 2022-03-16T23:37:54.000Z | tests/test_user_input.py | raulpy271/pyfunge | e2bea42f0a86579ff7884ce62129eb15f46f9580 | [
"MIT"
] | null | null | null | tests/test_user_input.py | raulpy271/pyfunge | e2bea42f0a86579ff7884ce62129eb15f46f9580 | [
"MIT"
] | null | null | null | from unittest import TestCase, mock
from src.interpreter import BefungeInterpreter
from src import exceptions
from tests.mock.stdout_mock import StdoutMock
class TestGetIntegerCommand(TestCase):
def test_get_integer(self):
code = '& .@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = '1'
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(stdout_mock.read(), '1')
def test_get_integer_with_two_digits(self):
code = '& .@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = '11'
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(stdout_mock.read(), '11')
self.assertFalse(err)
def test_get_integer_with_empty_input(self):
code = '& .@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = ''
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(err, exceptions.EmptyInput)
self.assertFalse(stdout_mock.read())
def test_get_integer_with_non_digit_char(self):
code = '& .@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = 'A'
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(err, exceptions.WrongInput)
self.assertFalse(stdout_mock.read())
class TestGetCharCommand(TestCase):
def test_get_char(self):
code = '~ ,@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = 'A'
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(stdout_mock.read(), 'A')
def test_get_char_using_ascii_value(self):
code = '~ .@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = 'A'
A_char_ascii_value = 65
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(stdout_mock.read(), str(A_char_ascii_value))
def test_get_char_with_empty_input(self):
code = '~ ,@'
inputMock = mock.Mock()
stdout_mock = StdoutMock()
inputMock.return_value = ''
interpreter = BefungeInterpreter(stdInput=inputMock, output=stdout_mock)
interpreter.load(code)
stack, err = interpreter.run()
self.assertEqual(err, exceptions.EmptyInput)
self.assertFalse(stdout_mock.read())
| 35.581395 | 80 | 0.654248 | 317 | 3,060 | 6.11041 | 0.157729 | 0.113578 | 0.057821 | 0.075891 | 0.816211 | 0.77078 | 0.77078 | 0.77078 | 0.77078 | 0.77078 | 0 | 0.003444 | 0.24085 | 3,060 | 85 | 81 | 36 | 0.830392 | 0 | 0 | 0.689189 | 0 | 0 | 0.012426 | 0 | 0 | 0 | 0 | 0 | 0.148649 | 1 | 0.094595 | false | 0 | 0.054054 | 0 | 0.175676 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
c647fb255eedfbd1fa37c06669a290a918f6f90d | 399 | py | Python | zenithml/tf/layers/__init__.py | zenith-ml/zenithml | b2e68d31f9649d5477f8321b4394822f6f3a8e0c | [
"MIT"
] | null | null | null | zenithml/tf/layers/__init__.py | zenith-ml/zenithml | b2e68d31f9649d5477f8321b4394822f6f3a8e0c | [
"MIT"
] | 1 | 2022-03-07T16:29:32.000Z | 2022-03-07T16:29:32.000Z | zenithml/tf/layers/__init__.py | zenith-ml/zenithml | b2e68d31f9649d5477f8321b4394822f6f3a8e0c | [
"MIT"
] | null | null | null | from zenithml.tf.layers.preprocess.numerical import NumericalLayer
from zenithml.tf.layers.preprocess.normalizers import MinMaxNormalizeLayer, LogNormalizeLayer, BucketizedLayer
from zenithml.tf.layers.preprocess.nhotencoder import NHotEncodingLayer
from zenithml.tf.layers.preprocess.embedding import EmbeddingLayer
from zenithml.tf.layers.preprocess.cosine_similarity import CosineSimilarityLayer
| 66.5 | 110 | 0.889724 | 43 | 399 | 8.232558 | 0.44186 | 0.169492 | 0.19774 | 0.282486 | 0.423729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055138 | 399 | 5 | 111 | 79.8 | 0.938992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
d690688f05a9e8e3db91681792e131be41f16f1e | 82 | py | Python | src/articles/api/views/__init__.py | samrika25/TRAVIS_HEROKU_GIT | bcae6d0422d9a0369810944a91dd03db7df0d058 | [
"MIT"
] | null | null | null | src/articles/api/views/__init__.py | samrika25/TRAVIS_HEROKU_GIT | bcae6d0422d9a0369810944a91dd03db7df0d058 | [
"MIT"
] | 4 | 2021-03-30T12:35:36.000Z | 2021-06-10T18:11:24.000Z | src/articles/api/views/__init__.py | samrika25/TRAVIS_HEROKU_GIT | bcae6d0422d9a0369810944a91dd03db7df0d058 | [
"MIT"
] | 2 | 2021-02-07T16:16:36.000Z | 2021-07-13T05:26:51.000Z | from .DetailAPIView import *
from .ListAPIView import *
from .VoteAPIView import * | 27.333333 | 28 | 0.792683 | 9 | 82 | 7.222222 | 0.555556 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134146 | 82 | 3 | 29 | 27.333333 | 0.915493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
d6a9b32369132483a231a5188c8cc88556090183 | 1,841 | py | Python | interface/funcion_tabla.py | osim-microgrid-tool/osim_islanded_microgrids_sizing | 63738ddf418e4023f3b64dc1f0aba6f079710bc8 | [
"MIT"
] | 2 | 2021-07-27T13:56:18.000Z | 2021-07-27T13:56:23.000Z | interface/funcion_tabla.py | wropero-enersinc/osim_microrredes | 407ce32683043dbc0356fa0b2edaf537b0098b71 | [
"MIT"
] | null | null | null | interface/funcion_tabla.py | wropero-enersinc/osim_microrredes | 407ce32683043dbc0356fa0b2edaf537b0098b71 | [
"MIT"
] | 1 | 2021-07-25T23:03:27.000Z | 2021-07-25T23:03:27.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 19 08:52:01 2018
@author: WILMER ROPERO C
"""
def tabla(df2,self):
df2=df2.fillna(value="")
# df1="lo que deberia quedar"
# CREANDO LA TABLA
[dfy,dfx]=df2.shape
data=[]
for xx in range (dfx):
a=list(df2.iloc[:,xx])
data.append(a)
listnameheaders=list(df2.iloc[:0])
from PyQt5 import QtWidgets
self.ui.tableWidget.setRowCount(0)
self.ui.tableWidget.setColumnCount(0)
ncolumn=len(data)
nrow=len(data[0])
self.ui.tableWidget.setRowCount(nrow)
self.ui.tableWidget.setColumnCount(ncolumn)
self.ui.tableWidget.setHorizontalHeaderLabels(listnameheaders)
for ii in range(0, ncolumn):
mainins =data[ii]
for var in range(0, nrow):
self.ui.tableWidget.setItem(var, ii, QtWidgets.QTableWidgetItem((str(mainins[var]))))
def tabla2(df2,self):
df2=df2.fillna(value="")
# df1="lo que deberia quedar"
# CREANDO LA TABLA
[dfy,dfx]=df2.shape
data=[]
for xx in range (dfx):
a=list(df2.iloc[:,xx])
data.append(a)
listnameheaders=list(df2.iloc[:0])
from PyQt5 import QtWidgets
self.ui.tableWidget_2.setRowCount(0)
self.ui.tableWidget_2.setColumnCount(0)
ncolumn=len(data)
nrow=len(data[0])
self.ui.tableWidget_2.setRowCount(nrow)
self.ui.tableWidget_2.setColumnCount(ncolumn)
self.ui.tableWidget_2.setHorizontalHeaderLabels(listnameheaders)
for ii in range(0, ncolumn):
mainins =data[ii]
for var in range(0, nrow):
self.ui.tableWidget_2.setItem(var, ii, QtWidgets.QTableWidgetItem((str(mainins[var])))) | 26.681159 | 105 | 0.589354 | 224 | 1,841 | 4.816964 | 0.28125 | 0.066728 | 0.189064 | 0.100093 | 0.931418 | 0.743281 | 0.743281 | 0.743281 | 0.650602 | 0.650602 | 0 | 0.03653 | 0.286257 | 1,841 | 69 | 105 | 26.681159 | 0.784627 | 0.104291 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 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 | 6 |
d6c7c7e440d05ccd264d541f93d9bcb29a9eaa71 | 26,562 | py | Python | SBaaS_quantification/lims_quantitationMethod_io.py | dmccloskey/SBaaS_quantification | b2a9c7a9a0d318f22ff20e311f94c213852ba914 | [
"MIT"
] | null | null | null | SBaaS_quantification/lims_quantitationMethod_io.py | dmccloskey/SBaaS_quantification | b2a9c7a9a0d318f22ff20e311f94c213852ba914 | [
"MIT"
] | null | null | null | SBaaS_quantification/lims_quantitationMethod_io.py | dmccloskey/SBaaS_quantification | b2a9c7a9a0d318f22ff20e311f94c213852ba914 | [
"MIT"
] | null | null | null | import json
import re
from SBaaS_LIMS.lims_calibratorsAndMixes_query import lims_calibratorsAndMixes_query
from SBaaS_LIMS.lims_sample_query import lims_sample_query
from .lims_quantitationMethod_query import lims_quantitationMethod_query
from .stage01_quantification_MQResultsTable_query import stage01_quantification_MQResultsTable_query
# Resources
from io_utilities.base_importData import base_importData
from io_utilities.base_exportData import base_exportData
from SBaaS_base.sbaas_template_io import sbaas_template_io
from ddt_python.ddt_container import ddt_container
class lims_quantitationMethod_io(lims_quantitationMethod_query,
stage01_quantification_MQResultsTable_query,
lims_calibratorsAndMixes_query,
#lims_msMethod_query,
lims_sample_query,
sbaas_template_io
):
def import_calibration_sampleAndComponents(self, filename):
'''import calibration curve sample and component information'''
data = base_importData();
data.read_csv(filename);
data.format_data();
# split into separate data structures
samplesComponents_data = [];
for d in data.data:
samplesComponents_data.append({'sample_name':d['Sample Name'],
'sample_type':d['Sample Type'],
'met_id':d['Component Group Name']});
data.clear_data();
return samplesComponents_data;
def export_calibrationConcentrations(self, sampleAndComponent_fileName_I, concentrations_fileName_O):
'''export calibrator concentrations for "cut&paste" into Actual Concentration column in MultiQuant
when filtering Analytes only'''
#Input:
# sampleAndComponent_fileName_I = .csv file specifying sample_name, sample_type, and component_group_name
#Output:
# concentrations_fileName_O = .csv file specifying sample_name, sample_type, component_group_name, and actual_concentration
concentrations_O = [];
met_id_conv_dict = {'Hexose_Pool_fru_glc-D':'glc-D',
'Pool_2pg_3pg':'3pg'};
#import sampleAndComponents
samplesComponents = [];
samplesComponents = self.import_calibration_sampleAndComponents(sampleAndComponent_fileName_I);
#data = base_importData();
#data.read_csv(sampleAndComponent_fileName_I);
#samplesComponents = data.data;
for sc in samplesComponents:
# if met_id is a pool of metabolites, convert to the metabolite
# that is logged in calibrator tables and standards tables
if sc['met_id'] in list(met_id_conv_dict.keys()):
met_id_conv = met_id_conv_dict[sc['met_id']];
else:
met_id_conv = sc['met_id'];
#query calibrator_id and calibrator_level from sample
calibrator_id,calibrator_level = None,None;
calibrator_id,calibrator_level = self.get_calibratorIDAndLevel_sampleNameAndSampleType_sample(sc['sample_name'],sc['sample_type']);
#query calibrator_concentration from calibrator_concentrations
calibrator_concentration, concentration_units = 'N/A', None;
if calibrator_id and calibrator_level:
calibrator_concentration, concentration_units = self.get_calibratorConcentrationAndUnit_metIDAndCalibratorIDAndLevel_calibratorConcentrations(met_id_conv,calibrator_id,calibrator_level);
concentrations_O.append({'sample_name':sc['sample_name'], 'sample_type':sc['sample_type'],'component_group_name':sc['met_id'], 'actual_concentration':calibrator_concentration});
# write calibration curve concentrations to file
export = base_exportData(concentrations_O);
export.write_dict2csv(concentrations_fileName_O);
def import_quantitationMethod_add(self,QMethod_id_I, filename):
'''table adds'''
data = base_importData();
data.read_csv(filename);
data.format_data();
self.add_quantitationMethod(QMethod_id_I, data.data);
data.clear_data();
def export_quantitationMethod_js(self,QMethod_id_I,component_names_I=[],data_dir_I='tmp'):
'''Export the quantitation and calibrators to ddt'''
#get the calibrator data
data_1 = [];
data_2 = [];
data_1a = [];
# get the sample names that were used to generate the calibration curve:
if component_names_I:
component_names = component_names_I;
else:
component_names = [];
component_names = self.get_components(QMethod_id_I);
for cn in component_names:
# get the quant method parameters for each component
fit,weighting,use_area = self.get_quantMethodParameters(QMethod_id_I,cn);
# get the sample names for that component
sample_names = [];
sample_names = self.get_sampleNames_QMethodIDAndComponentNameAndSampleType(QMethod_id_I,cn,sample_type_I='Standard');
if not sample_names: continue;
concentrations = []
ratios = [];
for sn in sample_names:
# get the quant method rows
row = {};
row = self.get_row_sampleNameAndComponentName(sn,cn);
if row and not row is None and not row['concentration_ratio'] is None:
if use_area: row['ratio'] = row['area_ratio'];
else: row['ratio'] = row['height_ratio'];
row['acquisition_date_and_time'] = None;
data_1.append(row);
concentrations.append(row['concentration_ratio']);
ratios.append(row['ratio']);
if not concentrations: continue;
# get the quant method statistics
row = {};
row = self.get_row_QMethodIDAndComponentNamequantitationMethod(QMethod_id_I,cn);
if row:
data_2.append(row);
# generate the line of best fit
min_ratio = min(ratios);
max_ratio = max(ratios);
index_min = [cnt for cnt,x in enumerate(ratios) if x == min_ratio][0];
index_max = [cnt for cnt,x in enumerate(ratios) if x == max_ratio][0];
conc_min = min(concentrations);
conc_max = max(concentrations);
sample_name_min = sample_names[index_min];
sample_name_max = sample_names[index_max];
data_1a.append({'concentration_ratio':row['lloq'],
'ratio':min_ratio,
'component_name':cn,
'sample_name':sample_name_min,
'id':QMethod_id_I});
data_1a.append({'concentration_ratio':row['uloq'],
'ratio':max_ratio,
'component_name':cn,
'sample_name':sample_name_max,
'id':QMethod_id_I});
# dump chart parameters to a js files
data1_keys = [
'id',
'concentration_ratio',
'sample_name',
'component_name',
'ratio',
];
data1_nestkeys = ['component_name'];
data1_keymap = {'xdata':'concentration_ratio',
'ydata':'ratio',
'serieslabel':'component_name',
'featureslabel':'sample_name'};
data2_keys = ['id',
'q1_mass',
'q3_mass',
'met_id',
'component_name',
'is_name',
'fit',
'weighting',
'intercept',
'slope',
'correlation',
'use_area',
'lloq',
'uloq',
'points',
];
data2_nestkeys = ['component_name'];
data2_keymap = {'xdata':'concentration_ratio',
'ydata':'ratio',
'serieslabel':'component_name',
'featureslabel':None};
parameters = {"chart1margin":{ 'top': 50, 'right': 150, 'bottom': 50, 'left': 50 },
"chart1width":500,"chart1height":350,
"chart1title":"Metric Plot", "chart1x1axislabel":"sample_name","chart1y1axislabel":"measurement"}
# make the data object
dataobject_O = [{"data":data_1,"datakeys":data1_keys,"datanestkeys":data1_nestkeys},
{"data":data_1a,"datakeys":data1_keys,"datanestkeys":data1_nestkeys},
{"data":data_2,"datakeys":data2_keys,"datanestkeys":data2_nestkeys}];
# make the tile parameter objects
formtileparameters_O = {'tileheader':'Filter menu','tiletype':'html','tileid':"filtermenu1",'rowid':"row1",'colid':"col1",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-4"};
formparameters_O = {'htmlid':'filtermenuform1','htmltype':'form_01',"formsubmitbuttonidtext":{'id':'submit1','text':'submit'},"formresetbuttonidtext":{'id':'reset1','text':'reset'},"formupdatebuttonidtext":{'id':'update1','text':'update'}};
formtileparameters_O.update(formparameters_O);
svgparameters_O = {"svgtype":'scatterlineplot2d_01',"svgkeymap":[data1_keymap,data1_keymap],
'svgid':'svg1',
"svgmargin":{ 'top': 50, 'right': 150, 'bottom': 50, 'left': 50 },
"svgwidth":500,"svgheight":350,
"svgx1axislabel":"concentration_ratio","svgy1axislabel":"measurement_ratio",
'svgformtileid':'filtermenu1','svgresetbuttonid':'reset1','svgsubmitbuttonid':'submit1'};
svgtileparameters_O = {'tileheader':'Regression','tiletype':'svg','tileid':"tile2",'rowid':"row1",'colid':"col2",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-8"};
svgtileparameters_O.update(svgparameters_O);
tableparameters_O = {"tabletype":'responsivetable_01',
'tableid':'table1',
"tablefilters":None,
"tableclass":"table table-condensed table-hover",
'tableformtileid':'filtermenu1','tableresetbuttonid':'reset1','tablesubmitbuttonid':'submit1'};
tabletileparameters_O = {'tileheader':'Regression Statistics','tiletype':'table','tileid':"tile3",'rowid':"row2",'colid':"col1",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-12"};
tabletileparameters_O.update(tableparameters_O);
parametersobject_O = [formtileparameters_O,svgtileparameters_O,tabletileparameters_O];
tile2datamap_O = {"filtermenu1":[0],"tile2":[0,1],"tile3":[2]};
# dump the data to a json file
ddtutilities = ddt_container(parameters_I = parametersobject_O,data_I = dataobject_O,tile2datamap_I = tile2datamap_O,filtermenu_I = None);
if data_dir_I=='tmp':
filename_str = self.settings['visualization_data'] + '/tmp/ddt_data.js'
elif data_dir_I=='data_json':
data_json_O = ddtutilities.get_allObjects_js();
return data_json_O;
with open(filename_str,'w') as file:
file.write(ddtutilities.get_allObjects());
def export_quantitationMethods_v1_js(self,QMethod_ids_I = [],component_names_I=[],data_dir_I='tmp'):
'''Export the quantitation and calibrators to ddt'''
#get the calibrator data
data_1 = [];
data_2 = [];
data_1a = [];
for QMethod_id in QMethod_ids_I:
# get the sample names that were used to generate the calibration curve:
if component_names_I:
component_names = component_names_I;
else:
component_names = [];
component_names = self.get_components(QMethod_id);
for cn in component_names:
# get the quant method parameters for each component
fit,weighting,use_area = self.get_quantMethodParameters(QMethod_id,cn);
# get the sample names for that component
sample_names = [];
sample_names = self.get_sampleNames_QMethodIDAndComponentNameAndSampleType(QMethod_id,cn,sample_type_I='Standard');
if not sample_names: continue;
concentrations = []
ratios = [];
for sn in sample_names:
# get the quant method rows
row = {};
row = self.get_row_sampleNameAndComponentName(sn,cn);
if row and not row is None and not row['concentration_ratio'] is None:
if use_area: row['ratio'] = row['area_ratio'];
else: row['ratio'] = row['height_ratio'];
row['acquisition_date_and_time'] = None;
row['id']=QMethod_id;
data_1.append(row);
concentrations.append(row['concentration_ratio']);
ratios.append(row['ratio']);
if not concentrations: continue;
# get the quant method statistics
row = {};
row = self.get_row_QMethodIDAndComponentNamequantitationMethod(QMethod_id,cn);
if row:
data_2.append(row);
# generate the line of best fit
min_ratio = min(ratios);
max_ratio = max(ratios);
index_min = [cnt for cnt,x in enumerate(ratios) if x == min_ratio][0];
index_max = [cnt for cnt,x in enumerate(ratios) if x == max_ratio][0];
conc_min = min(concentrations);
conc_max = max(concentrations);
sample_name_min = sample_names[index_min];
sample_name_max = sample_names[index_max];
data_1a.append({'concentration_ratio':row['lloq'],
'ratio':min_ratio,
'component_name':cn,
'sample_name':sample_name_min,
'id':QMethod_id});
data_1a.append({'concentration_ratio':row['uloq'],
'ratio':max_ratio,
'component_name':cn,
'sample_name':sample_name_max,
'id':QMethod_id});
# dump chart parameters to a js files
data1_keys = [
'id',
'concentration_ratio',
'sample_name',
'component_name',
'ratio',
];
data1_nestkeys = ['component_name'];
data1_keymap = {'xdata':'concentration_ratio',
'ydata':'ratio',
'serieslabel':'component_name',
'featureslabel':'sample_name'};
data2_keys = ['id',
'q1_mass',
'q3_mass',
'met_id',
'component_name',
'is_name',
'fit',
'weighting',
'intercept',
'slope',
'correlation',
'use_area',
'lloq',
'uloq',
'points',
];
data2_nestkeys = ['component_name'];
data2_keymap = {'xdata':'concentration_ratio',
'ydata':'ratio',
'serieslabel':'component_name',
'featureslabel':None};
parameters = {"chart1margin":{ 'top': 50, 'right': 150, 'bottom': 50, 'left': 50 },
"chart1width":500,"chart1height":350,
"chart1title":"Metric Plot", "chart1x1axislabel":"sample_name","chart1y1axislabel":"measurement"}
# make the data object
dataobject_O = [{"data":data_1,"datakeys":data1_keys,"datanestkeys":data1_nestkeys},
{"data":data_1a,"datakeys":data1_keys,"datanestkeys":data1_nestkeys},
{"data":data_2,"datakeys":data2_keys,"datanestkeys":data2_nestkeys}];
# make the tile parameter objects
formtileparameters_O = {'tileheader':'Filter menu','tiletype':'html','tileid':"filtermenu1",'rowid':"row1",'colid':"col1",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-4"};
formparameters_O = {'htmlid':'filtermenuform1','htmltype':'form_01',"formsubmitbuttonidtext":{'id':'submit1','text':'submit'},"formresetbuttonidtext":{'id':'reset1','text':'reset'},"formupdatebuttonidtext":{'id':'update1','text':'update'}};
formtileparameters_O.update(formparameters_O);
svgparameters_O = {"svgtype":'scatterlineplot2d_01',"svgkeymap":[data1_keymap,data1_keymap],
'svgid':'svg1',
"svgmargin":{ 'top': 50, 'right': 150, 'bottom': 50, 'left': 50 },
"svgwidth":500,"svgheight":350,
"svgx1axislabel":"concentration_ratio","svgy1axislabel":"measurement_ratio",
'svgformtileid':'filtermenu1','svgresetbuttonid':'reset1','svgsubmitbuttonid':'submit1'};
svgtileparameters_O = {'tileheader':'Regression','tiletype':'svg','tileid':"tile2",'rowid':"row1",'colid':"col2",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-8"};
svgtileparameters_O.update(svgparameters_O);
tableparameters_O = {"tabletype":'responsivetable_01',
'tableid':'table1',
"tablefilters":None,
"tableclass":"table table-condensed table-hover",
'tableformtileid':'filtermenu1','tableresetbuttonid':'reset1','tablesubmitbuttonid':'submit1'};
tabletileparameters_O = {'tileheader':'Regression Statistics','tiletype':'table','tileid':"tile3",'rowid':"row2",'colid':"col1",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-12"};
tabletileparameters_O.update(tableparameters_O);
parametersobject_O = [formtileparameters_O,svgtileparameters_O,tabletileparameters_O];
tile2datamap_O = {"filtermenu1":[0],"tile2":[0,1],"tile3":[2]};
# dump the data to a json file
ddtutilities = ddt_container(parameters_I = parametersobject_O,data_I = dataobject_O,tile2datamap_I = tile2datamap_O,filtermenu_I = None);
if data_dir_I=='tmp':
filename_str = self.settings['visualization_data'] + '/tmp/ddt_data.js'
elif data_dir_I=='data_json':
data_json_O = ddtutilities.get_allObjects_js();
return data_json_O;
with open(filename_str,'w') as file:
file.write(ddtutilities.get_allObjects());
def export_quantitationMethods_js(self,analysis_id_I,data_dir_I='tmp'):
'''Export the quantitation and calibrators to ddt'''
#get the calibrator data
data_1 = [];
data_2 = [];
data_1a = [];
#query all the data
data_all = self.getRowsJoin_analysisID_dataStage01QuantificationMQResultsTable_limsQuantitationMethod(analysis_id_I)
#reorganize into a dictionary of (QMethods,component_names)
data_dict = {};
for d in data_all:
unique = (d['quantitation_method_id'],d['component_name']);
if not unique in data_dict.keys():
data_dict[unique] = [];
data_dict[unique].append(d);
#split and modify the data
for QMethod_id,rows in data_dict.items():
concentrations = []
ratios = [];
sample_names = [];
for row in rows:
if row and not row is None and not row['concentration_ratio'] is None:
if row['use_area']: row['ratio'] = row['area_ratio'];
else: row['ratio'] = row['height_ratio'];
row['quantitation_method_id']=rows[0]['quantitation_method_id'];
data_1.append(row);
concentrations.append(row['concentration_ratio']);
ratios.append(row['ratio']);
sample_names.append(row['sample_name']);
if not concentrations: continue;
# get the quant method statistics
data_2.append(row);
# generate the line of best fit
min_ratio = min(ratios);
max_ratio = max(ratios);
index_min = [cnt for cnt,x in enumerate(ratios) if x == min_ratio][0];
index_max = [cnt for cnt,x in enumerate(ratios) if x == max_ratio][0];
conc_min = min(concentrations);
conc_max = max(concentrations);
sample_name_min = sample_names[index_min];
sample_name_max = sample_names[index_max];
data_1a.append({'concentration_ratio':rows[0]['lloq'],
'ratio':min_ratio,
'component_name':rows[0]['component_name'],
'sample_name':sample_name_min,
'quantitation_method_id':rows[0]['quantitation_method_id']});
data_1a.append({'concentration_ratio':rows[0]['uloq'],
'ratio':max_ratio,
'component_name':rows[0]['component_name'],
'sample_name':sample_name_max,
'quantitation_method_id':rows[0]['quantitation_method_id']});
# dump chart parameters to a js files
data1_keys = [
'quantitation_method_id',
'concentration_ratio',
'sample_name',
'component_name',
'ratio',
];
data1_nestkeys = ['component_name'];
data1_keymap = {'xdata':'concentration_ratio',
'ydata':'ratio',
'serieslabel':'component_name',
'featureslabel':'sample_name'};
data2_keys = ['quantitation_method_id',
'q1_mass',
'q3_mass',
'met_id',
'component_name',
'is_name',
'fit',
'weighting',
'intercept',
'slope',
'correlation',
'use_area',
'lloq',
'uloq',
'points',
];
data2_nestkeys = ['component_name'];
data2_keymap = {'xdata':'concentration_ratio',
'ydata':'ratio',
'serieslabel':'component_name',
'featureslabel':None};
parameters = {"chart1margin":{ 'top': 50, 'right': 150, 'bottom': 50, 'left': 50 },
"chart1width":500,"chart1height":350,
"chart1title":"Metric Plot", "chart1x1axislabel":"sample_name","chart1y1axislabel":"measurement"}
# make the data object
dataobject_O = [{"data":data_1,"datakeys":data1_keys,"datanestkeys":data1_nestkeys},
{"data":data_1a,"datakeys":data1_keys,"datanestkeys":data1_nestkeys},
{"data":data_2,"datakeys":data2_keys,"datanestkeys":data2_nestkeys}];
# make the tile parameter objects
formtileparameters_O = {'tileheader':'Filter menu','tiletype':'html','tileid':"filtermenu1",'rowid':"row1",'colid':"col1",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-4"};
formparameters_O = {'htmlid':'filtermenuform1','htmltype':'form_01',"formsubmitbuttonidtext":{'id':'submit1','text':'submit'},"formresetbuttonidtext":{'id':'reset1','text':'reset'},"formupdatebuttonidtext":{'id':'update1','text':'update'}};
formtileparameters_O.update(formparameters_O);
svgparameters_O = {"svgtype":'scatterlineplot2d_01',"svgkeymap":[data1_keymap,data1_keymap],
'svgid':'svg1',
"svgmargin":{ 'top': 50, 'right': 150, 'bottom': 50, 'left': 50 },
"svgwidth":500,"svgheight":350,
"svgx1axislabel":"concentration_ratio","svgy1axislabel":"measurement_ratio",
'svgformtileid':'filtermenu1','svgresetbuttonid':'reset1','svgsubmitbuttonid':'submit1'};
svgtileparameters_O = {'tileheader':'Regression','tiletype':'svg','tileid':"tile2",'rowid':"row1",'colid':"col2",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-8"};
svgtileparameters_O.update(svgparameters_O);
tableparameters_O = {"tabletype":'responsivetable_01',
'tableid':'table1',
"tablefilters":None,
"tableclass":"table table-condensed table-hover",
'tableformtileid':'filtermenu1','tableresetbuttonid':'reset1','tablesubmitbuttonid':'submit1'};
tabletileparameters_O = {'tileheader':'Regression Statistics','tiletype':'table','tileid':"tile3",'rowid':"row2",'colid':"col1",
'tileclass':"panel panel-default",'rowclass':"row",'colclass':"col-sm-12"};
tabletileparameters_O.update(tableparameters_O);
parametersobject_O = [formtileparameters_O,svgtileparameters_O,tabletileparameters_O];
tile2datamap_O = {"filtermenu1":[0],"tile2":[0,1],"tile3":[2]};
# dump the data to a json file
ddtutilities = ddt_container(parameters_I = parametersobject_O,data_I = dataobject_O,tile2datamap_I = tile2datamap_O,filtermenu_I = None);
if data_dir_I=='tmp':
filename_str = self.settings['visualization_data'] + '/tmp/ddt_data.js'
elif data_dir_I=='data_json':
data_json_O = ddtutilities.get_allObjects_js();
return data_json_O;
with open(filename_str,'w') as file:
file.write(ddtutilities.get_allObjects()); | 55.453027 | 248 | 0.568933 | 2,531 | 26,562 | 5.709996 | 0.122876 | 0.024218 | 0.011071 | 0.016192 | 0.789095 | 0.781345 | 0.777678 | 0.770066 | 0.767091 | 0.756989 | 0 | 0.019146 | 0.311761 | 26,562 | 479 | 249 | 55.453027 | 0.771402 | 0.080378 | 0 | 0.82266 | 0 | 0 | 0.234245 | 0.019062 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014778 | false | 0 | 0.036946 | 0 | 0.064039 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
d6f0df11339336a64b02ad81bb5a40e56109f92b | 27 | py | Python | __init__.py | mnbv1775/random_x | b8e1b98108a5b612ada7906d85b964b951a86e30 | [
"MIT"
] | null | null | null | __init__.py | mnbv1775/random_x | b8e1b98108a5b612ada7906d85b964b951a86e30 | [
"MIT"
] | null | null | null | __init__.py | mnbv1775/random_x | b8e1b98108a5b612ada7906d85b964b951a86e30 | [
"MIT"
] | null | null | null | from random_x.main import * | 27 | 27 | 0.814815 | 5 | 27 | 4.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 27 | 1 | 27 | 27 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ba9cd7adcc4ace5c613c19323e8589e50cd36596 | 22 | py | Python | src/hissp/__init__.py | brandonwillard/hissp | 24bbc1efcd68dd47eecd955375abf6a7b1a98b45 | [
"Apache-2.0"
] | null | null | null | src/hissp/__init__.py | brandonwillard/hissp | 24bbc1efcd68dd47eecd955375abf6a7b1a98b45 | [
"Apache-2.0"
] | null | null | null | src/hissp/__init__.py | brandonwillard/hissp | 24bbc1efcd68dd47eecd955375abf6a7b1a98b45 | [
"Apache-2.0"
] | null | null | null | from .repl import repl | 22 | 22 | 0.818182 | 4 | 22 | 4.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136364 | 22 | 1 | 22 | 22 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
bac39de67bbf1561a91f52dd1514181c7f466ba6 | 1,467 | py | Python | src/kemokrw/transfer_db_key.py | Kemok-Repos/kemokrw | bfe2a82e2ef5d3580ed5dfe65129b30bd3fc4971 | [
"MIT"
] | null | null | null | src/kemokrw/transfer_db_key.py | Kemok-Repos/kemokrw | bfe2a82e2ef5d3580ed5dfe65129b30bd3fc4971 | [
"MIT"
] | null | null | null | src/kemokrw/transfer_db_key.py | Kemok-Repos/kemokrw | bfe2a82e2ef5d3580ed5dfe65129b30bd3fc4971 | [
"MIT"
] | null | null | null | from kemokrw.transfer import Transfer
class DbKeyTransfer(Transfer):
"""Clase DbKeyTransfer implementación de la clase Transfer.
La clase se encarga de transferir y asegurar información de base de datos a base de datos
usando el siguiente algoritmo y una columna(s) de llave primaria (Tablas transaccionales o maestras).
Fase de actualización
1. Transferir todos los registros nuevos del origen al destino.
Fase de verificación
2. Fragmentar la tabla de origen en paquetes. El tamaño debe ser un parametro.
3. Realizar verificaciones de cada segmento (ver el método verify() de la clase BasicTransfer)
Fase de Transferencia
1. Transferir todos los paquetes identificados.
2. Almacenar el listado de los segmentos transferidos dentro de la fase de actualizacion y de transferencia
dentro del atributo updated.
Atributos
---------
src_dict : dict
Información necesaria para describir una tabla [db, table, model, condition]
dst_dict : dict
Información necesaria para describir una tabla [db, table, model, condition]
key_column : list
Columas de la llave primaria
package_size : int
updated_ranges : list
Métodos
-------
verify():
Verifica si la fuente y el destino son compatibles.
Verifica si el destino es igual a la fuente.
transfer(retires=0):
Tranfiere los datos de la fuente a el destino.
"""
pass
| 31.891304 | 111 | 0.708248 | 195 | 1,467 | 5.302564 | 0.533333 | 0.019342 | 0.017408 | 0.03675 | 0.135397 | 0.135397 | 0.135397 | 0.135397 | 0.135397 | 0.135397 | 0 | 0.005405 | 0.243354 | 1,467 | 45 | 112 | 32.6 | 0.926126 | 0.858214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088889 | 0 | 1 | 0 | true | 0.333333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
bac5732601d1c2c7c86f18c4a9e3c58cb468524a | 138 | py | Python | src/datahub/src/common/config.py | mibrl12/data-monitor-poc | 26127ede9aae7e86aa6f170ea06acedc0c9bd4fd | [
"MIT"
] | null | null | null | src/datahub/src/common/config.py | mibrl12/data-monitor-poc | 26127ede9aae7e86aa6f170ea06acedc0c9bd4fd | [
"MIT"
] | null | null | null | src/datahub/src/common/config.py | mibrl12/data-monitor-poc | 26127ede9aae7e86aa6f170ea06acedc0c9bd4fd | [
"MIT"
] | null | null | null | import os
MONGO_DBNAME = os.environ.get('MONGO_DBNAME', 'actuals')
MONGO_URL = os.environ.get('MONGO_URL', 'mongodb://localhost:27017')
| 23 | 68 | 0.73913 | 20 | 138 | 4.9 | 0.55 | 0.22449 | 0.244898 | 0.346939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039683 | 0.086957 | 138 | 5 | 69 | 27.6 | 0.738095 | 0 | 0 | 0 | 0 | 0 | 0.384058 | 0.181159 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 6 |
2424c5c68f64adf88c68b2b13155fd75a7b3ac19 | 77 | py | Python | src/monkey/evaluator/__init__.py | nischalshrestha/Monkey- | eed7b7a14238d3035f45b18f6939e6f28047703a | [
"MIT"
] | 6 | 2019-02-15T16:45:54.000Z | 2021-10-01T00:19:00.000Z | src/monkey/evaluator/__init__.py | nischalshrestha/Monkey- | eed7b7a14238d3035f45b18f6939e6f28047703a | [
"MIT"
] | 4 | 2018-11-24T23:57:03.000Z | 2020-02-16T05:16:25.000Z | src/monkey/evaluator/__init__.py | nischalshrestha/Monkey- | eed7b7a14238d3035f45b18f6939e6f28047703a | [
"MIT"
] | 1 | 2020-11-27T10:35:44.000Z | 2020-11-27T10:35:44.000Z | from .evaluator import *
from .builtins import *
from .quote_unquote import * | 25.666667 | 28 | 0.779221 | 10 | 77 | 5.9 | 0.6 | 0.338983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 77 | 3 | 28 | 25.666667 | 0.893939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
2438b50851b1164e64830748ab8d298b3daec220 | 5,425 | py | Python | tests/DeviceNoPinsTest.py | bazwilliams/openhomedevice | 8733a7ca016296c19416c4029937b46fd5067521 | [
"MIT"
] | 9 | 2017-04-22T03:28:58.000Z | 2022-02-19T21:13:21.000Z | tests/DeviceNoPinsTest.py | bazwilliams/openhomedevice | 8733a7ca016296c19416c4029937b46fd5067521 | [
"MIT"
] | 13 | 2017-04-06T15:24:15.000Z | 2021-04-22T23:41:30.000Z | tests/DeviceNoPinsTest.py | bazwilliams/openhomedevice | 8733a7ca016296c19416c4029937b46fd5067521 | [
"MIT"
] | 4 | 2017-04-25T12:53:02.000Z | 2021-04-03T22:06:36.000Z | import unittest
import os
import asyncio
from openhomedevice.device import Device
from aioresponses import aioresponses
def async_test(coro):
def wrapper(*args, **kwargs):
loop = asyncio.new_event_loop()
try:
return loop.run_until_complete(coro(*args, **kwargs))
finally:
loop.close()
return wrapper
class DeviceWithNoPinsTests(unittest.TestCase):
@async_test
@aioresponses()
async def setUp(self, mocked):
LOCATION = "http://mydevice:12345/desc.xml"
with open(
os.path.join(os.path.dirname(__file__), "data/nopinsdevice.xml")
) as file:
mocked.get(LOCATION, body=file.read())
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-ConfigApp-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Product-3/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Volume-4/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Credentials-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Time-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Info-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Config-2/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Transport-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Pins-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Update-2/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Diagnostics-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Volkano-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Privacy-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Exakt-4/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Configuration-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Exakt2-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-ExaktInputs-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-Cloud-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Playlist-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Radio-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Receiver-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Sender-2/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/linn.co.uk-LipSync-1/service.xml",
body="",
)
mocked.get(
"http://mydevice:12345/4c494e4e-1234-ab12-abcd-01234567819f/Upnp/av.openhome.org-Debug-1/service.xml",
body="",
)
self.sut = Device(LOCATION)
await self.sut.init()
soap_request_calls = []
return super().setUp()
@async_test
async def test_pins(self):
result = await self.sut.pins()
self.assertListEqual(result, list())
@async_test
async def test_invoke_pin(self):
await self.sut.invoke_pin(42)
| 39.311594 | 124 | 0.544147 | 580 | 5,425 | 5.058621 | 0.177586 | 0.102249 | 0.144853 | 0.171779 | 0.729721 | 0.715406 | 0.715406 | 0.715406 | 0.715406 | 0.715406 | 0 | 0.18314 | 0.315576 | 5,425 | 137 | 125 | 39.59854 | 0.607056 | 0 | 0 | 0.395349 | 0 | 0.186047 | 0.448295 | 0.003871 | 0 | 0 | 0 | 0 | 0.007752 | 1 | 0.015504 | false | 0 | 0.03876 | 0 | 0.085271 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 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 | 6 |
243ae24448796fbe13a5f517193cb6d5233375a7 | 116 | py | Python | qop/tests/test_grassmann.py | refraction-ray/qop | 2a3f05105b575e88683349f70bf97da26b8d6441 | [
"MIT"
] | 2 | 2021-01-02T03:12:50.000Z | 2021-03-31T12:19:19.000Z | qop/tests/test_grassmann.py | refraction-ray/qop | 2a3f05105b575e88683349f70bf97da26b8d6441 | [
"MIT"
] | null | null | null | qop/tests/test_grassmann.py | refraction-ray/qop | 2a3f05105b575e88683349f70bf97da26b8d6441 | [
"MIT"
] | 1 | 2020-07-15T18:08:29.000Z | 2020-07-15T18:08:29.000Z | from qop.grassmann import *
def test_grassmann_number():
assert (1 + g(0) * g(1)) ** 2 == 1 - 2 * g(1) * g(0)
| 19.333333 | 56 | 0.551724 | 21 | 116 | 2.952381 | 0.571429 | 0.064516 | 0.096774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 0.241379 | 116 | 5 | 57 | 23.2 | 0.613636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 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 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
79e326da5535688dacedfa2e97e5b657c8aabefa | 128 | py | Python | docxlatex/__init__.py | hrushikeshrv/docxlatex | 16c368dad2d7ff7d7bce6d0f2ac7063cefa57c0b | [
"MIT"
] | 2 | 2021-05-31T04:02:09.000Z | 2021-11-02T06:58:01.000Z | docxlatex/__init__.py | hrushikeshrv/docxlatex | 16c368dad2d7ff7d7bce6d0f2ac7063cefa57c0b | [
"MIT"
] | null | null | null | docxlatex/__init__.py | hrushikeshrv/docxlatex | 16c368dad2d7ff7d7bce6d0f2ac7063cefa57c0b | [
"MIT"
] | null | null | null | __version__ = '0.1.6'
from docxlatex.docxlatex import Document
from docxlatex import tagparsers
from docxlatex import cleaners
| 21.333333 | 40 | 0.828125 | 17 | 128 | 6 | 0.588235 | 0.382353 | 0.372549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026786 | 0.125 | 128 | 5 | 41 | 25.6 | 0.883929 | 0 | 0 | 0 | 0 | 0 | 0.039063 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 6 |
0376bb6da29dc03b80dbf39bc9eccb6be7cc6c9e | 249 | py | Python | my_image.py | A02l01/INFEST | 6cb201a745ea8c780d2b00f68124f2ae892d3ef4 | [
"MIT"
] | null | null | null | my_image.py | A02l01/INFEST | 6cb201a745ea8c780d2b00f68124f2ae892d3ef4 | [
"MIT"
] | null | null | null | my_image.py | A02l01/INFEST | 6cb201a745ea8c780d2b00f68124f2ae892d3ef4 | [
"MIT"
] | null | null | null | def image_split(inp):
return inp[:,:,0],inp[:,:,1],inp[:,:,2]
def remove_background(image_layer):
threshold_back = 100
image_layer[image_layer<threshold_back]=0
return image_layer
def get_middle(x1,y1,x2,y2):
return (x1+x2)*0.5,(y1+y2)*0.5
| 19.153846 | 42 | 0.706827 | 45 | 249 | 3.711111 | 0.466667 | 0.239521 | 0.227545 | 0.275449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084821 | 0.100402 | 249 | 12 | 43 | 20.75 | 0.660714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0.25 | 0.75 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
cef6dd68987fc6587c0950c45cde440329e0086e | 38,023 | py | Python | instances/passenger_demand/pas-20210421-2109-int18e/86.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210421-2109-int18e/86.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210421-2109-int18e/86.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null |
"""
PASSENGERS
"""
numPassengers = 4177
passenger_arriving = (
(5, 5, 6, 5, 2, 0, 10, 15, 7, 3, 5, 0), # 0
(7, 9, 6, 8, 2, 0, 9, 14, 7, 4, 4, 0), # 1
(5, 8, 8, 5, 0, 0, 16, 9, 11, 8, 0, 0), # 2
(4, 12, 13, 4, 3, 0, 8, 13, 2, 4, 0, 0), # 3
(2, 13, 12, 6, 2, 0, 9, 2, 6, 2, 1, 0), # 4
(6, 9, 15, 6, 2, 0, 10, 11, 14, 6, 5, 0), # 5
(3, 8, 9, 1, 5, 0, 6, 7, 4, 5, 4, 0), # 6
(6, 15, 11, 2, 4, 0, 6, 13, 11, 7, 1, 0), # 7
(6, 14, 6, 0, 5, 0, 9, 4, 5, 5, 1, 0), # 8
(3, 15, 14, 5, 1, 0, 6, 12, 4, 9, 2, 0), # 9
(7, 11, 11, 2, 2, 0, 10, 10, 5, 12, 2, 0), # 10
(4, 15, 14, 7, 2, 0, 9, 9, 5, 10, 4, 0), # 11
(6, 8, 3, 6, 2, 0, 13, 13, 12, 3, 2, 0), # 12
(6, 17, 7, 4, 2, 0, 7, 14, 14, 12, 2, 0), # 13
(6, 12, 9, 6, 4, 0, 9, 8, 3, 4, 3, 0), # 14
(5, 10, 8, 3, 4, 0, 12, 9, 12, 10, 7, 0), # 15
(6, 7, 10, 1, 2, 0, 11, 9, 9, 8, 4, 0), # 16
(7, 8, 7, 6, 1, 0, 4, 14, 7, 2, 5, 0), # 17
(7, 9, 8, 2, 6, 0, 9, 13, 8, 3, 2, 0), # 18
(8, 4, 14, 5, 1, 0, 8, 13, 14, 5, 2, 0), # 19
(5, 15, 18, 5, 3, 0, 6, 10, 8, 11, 3, 0), # 20
(8, 16, 14, 1, 4, 0, 14, 13, 5, 8, 1, 0), # 21
(5, 13, 8, 3, 4, 0, 6, 13, 7, 6, 4, 0), # 22
(8, 13, 7, 1, 2, 0, 9, 15, 3, 5, 2, 0), # 23
(5, 13, 13, 7, 2, 0, 7, 12, 12, 3, 5, 0), # 24
(7, 20, 12, 7, 4, 0, 4, 16, 6, 7, 3, 0), # 25
(5, 18, 5, 4, 3, 0, 7, 13, 8, 5, 6, 0), # 26
(9, 11, 8, 7, 0, 0, 7, 14, 7, 7, 2, 0), # 27
(3, 6, 13, 5, 4, 0, 13, 10, 11, 6, 4, 0), # 28
(8, 17, 11, 1, 0, 0, 10, 17, 12, 6, 3, 0), # 29
(5, 15, 9, 7, 5, 0, 8, 14, 4, 8, 2, 0), # 30
(9, 9, 11, 6, 0, 0, 7, 11, 9, 6, 3, 0), # 31
(7, 9, 9, 3, 5, 0, 8, 12, 9, 4, 3, 0), # 32
(8, 6, 11, 1, 3, 0, 9, 15, 7, 5, 3, 0), # 33
(9, 13, 8, 3, 4, 0, 5, 13, 5, 8, 3, 0), # 34
(1, 7, 12, 8, 4, 0, 12, 2, 5, 8, 1, 0), # 35
(7, 12, 13, 7, 3, 0, 9, 7, 9, 9, 3, 0), # 36
(4, 14, 3, 9, 3, 0, 11, 8, 8, 7, 2, 0), # 37
(4, 11, 9, 4, 4, 0, 9, 15, 10, 2, 3, 0), # 38
(3, 13, 10, 2, 1, 0, 6, 6, 7, 11, 4, 0), # 39
(12, 14, 10, 4, 1, 0, 13, 8, 5, 9, 6, 0), # 40
(6, 9, 13, 5, 3, 0, 9, 12, 7, 7, 4, 0), # 41
(8, 10, 9, 5, 3, 0, 8, 10, 3, 6, 3, 0), # 42
(8, 14, 12, 4, 0, 0, 9, 13, 4, 3, 2, 0), # 43
(3, 12, 2, 4, 2, 0, 5, 14, 11, 4, 2, 0), # 44
(4, 13, 12, 5, 1, 0, 4, 11, 7, 4, 3, 0), # 45
(4, 17, 8, 5, 3, 0, 9, 19, 8, 7, 1, 0), # 46
(4, 14, 6, 7, 5, 0, 6, 25, 7, 7, 6, 0), # 47
(7, 16, 7, 4, 7, 0, 5, 10, 8, 8, 2, 0), # 48
(6, 12, 9, 6, 1, 0, 9, 9, 6, 7, 6, 0), # 49
(4, 12, 6, 4, 4, 0, 7, 10, 10, 7, 2, 0), # 50
(5, 10, 6, 4, 0, 0, 8, 11, 17, 9, 5, 0), # 51
(1, 9, 9, 2, 2, 0, 6, 12, 9, 12, 1, 0), # 52
(7, 16, 10, 3, 4, 0, 5, 14, 9, 3, 0, 0), # 53
(6, 8, 10, 2, 1, 0, 8, 15, 4, 3, 2, 0), # 54
(3, 16, 4, 7, 2, 0, 11, 10, 4, 8, 2, 0), # 55
(8, 14, 11, 6, 2, 0, 4, 15, 3, 4, 2, 0), # 56
(4, 13, 8, 2, 1, 0, 7, 9, 14, 1, 3, 0), # 57
(5, 11, 9, 6, 5, 0, 8, 9, 8, 8, 2, 0), # 58
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 59
)
station_arriving_intensity = (
(4.769372805092186, 12.233629261363635, 14.389624839331619, 11.405298913043477, 12.857451923076923, 8.562228260869567), # 0
(4.81413961808604, 12.369674877683082, 14.46734796754499, 11.46881589673913, 12.953819711538461, 8.559309850543478), # 1
(4.8583952589991215, 12.503702525252525, 14.54322622107969, 11.530934782608696, 13.048153846153847, 8.556302173913043), # 2
(4.902102161984196, 12.635567578125, 14.617204169344474, 11.591602581521737, 13.14036778846154, 8.553205638586958), # 3
(4.94522276119403, 12.765125410353535, 14.689226381748071, 11.650766304347826, 13.230375, 8.550020652173911), # 4
(4.987719490781387, 12.892231395991162, 14.759237427699228, 11.708372961956522, 13.318088942307691, 8.546747622282608), # 5
(5.029554784899035, 13.01674090909091, 14.827181876606687, 11.764369565217393, 13.403423076923078, 8.54338695652174), # 6
(5.0706910776997365, 13.138509323705808, 14.893004297879177, 11.818703125, 13.486290865384618, 8.5399390625), # 7
(5.1110908033362605, 13.257392013888888, 14.956649260925452, 11.871320652173912, 13.56660576923077, 8.536404347826087), # 8
(5.1507163959613695, 13.373244353693181, 15.018061335154243, 11.922169157608696, 13.644281249999999, 8.532783220108696), # 9
(5.1895302897278315, 13.485921717171717, 15.077185089974291, 11.971195652173915, 13.719230769230771, 8.529076086956522), # 10
(5.227494918788412, 13.595279478377526, 15.133965094794343, 12.018347146739131, 13.791367788461539, 8.525283355978262), # 11
(5.2645727172958745, 13.701173011363636, 15.188345919023137, 12.063570652173912, 13.860605769230768, 8.521405434782608), # 12
(5.3007261194029835, 13.803457690183082, 15.240272132069407, 12.106813179347826, 13.926858173076925, 8.51744273097826), # 13
(5.335917559262511, 13.90198888888889, 15.289688303341899, 12.148021739130433, 13.99003846153846, 8.513395652173912), # 14
(5.370109471027217, 13.996621981534089, 15.336539002249355, 12.187143342391304, 14.050060096153846, 8.509264605978261), # 15
(5.403264288849868, 14.087212342171718, 15.380768798200515, 12.224124999999999, 14.10683653846154, 8.50505), # 16
(5.4353444468832315, 14.173615344854797, 15.422322260604112, 12.258913722826087, 14.16028125, 8.500752241847827), # 17
(5.46631237928007, 14.255686363636363, 15.461143958868895, 12.291456521739132, 14.210307692307696, 8.496371739130435), # 18
(5.496130520193152, 14.333280772569443, 15.4971784624036, 12.321700407608695, 14.256829326923079, 8.491908899456522), # 19
(5.524761303775241, 14.40625394570707, 15.530370340616965, 12.349592391304348, 14.299759615384616, 8.487364130434782), # 20
(5.552167164179106, 14.47446125710227, 15.56066416291774, 12.375079483695652, 14.339012019230768, 8.482737839673913), # 21
(5.578310535557506, 14.537758080808082, 15.588004498714653, 12.398108695652175, 14.374499999999998, 8.47803043478261), # 22
(5.603153852063214, 14.595999790877526, 15.612335917416454, 12.418627038043478, 14.40613701923077, 8.473242323369567), # 23
(5.62665954784899, 14.649041761363636, 15.633602988431875, 12.43658152173913, 14.433836538461538, 8.468373913043479), # 24
(5.648790057067603, 14.696739366319445, 15.651750281169667, 12.451919157608696, 14.457512019230768, 8.463425611413044), # 25
(5.669507813871817, 14.738947979797977, 15.66672236503856, 12.464586956521739, 14.477076923076922, 8.458397826086957), # 26
(5.688775252414398, 14.77552297585227, 15.6784638094473, 12.474531929347828, 14.492444711538463, 8.453290964673915), # 27
(5.7065548068481124, 14.806319728535353, 15.68691918380463, 12.481701086956523, 14.503528846153845, 8.448105434782608), # 28
(5.722808911325724, 14.831193611900254, 15.69203305751928, 12.486041440217392, 14.510242788461538, 8.44284164402174), # 29
(5.7375, 14.85, 15.69375, 12.4875, 14.512500000000001, 8.4375), # 30
(5.751246651214834, 14.865621839488634, 15.692462907608693, 12.487236580882353, 14.511678590425532, 8.430077267616193), # 31
(5.7646965153452685, 14.881037215909092, 15.68863804347826, 12.486451470588234, 14.509231914893617, 8.418644565217393), # 32
(5.777855634590792, 14.896244211647728, 15.682330027173915, 12.485152389705883, 14.50518630319149, 8.403313830584706), # 33
(5.790730051150895, 14.91124090909091, 15.67359347826087, 12.483347058823531, 14.499568085106382, 8.38419700149925), # 34
(5.803325807225064, 14.926025390624996, 15.662483016304348, 12.481043198529411, 14.492403590425532, 8.361406015742128), # 35
(5.815648945012788, 14.940595738636366, 15.649053260869564, 12.478248529411767, 14.48371914893617, 8.335052811094453), # 36
(5.8277055067135555, 14.954950035511365, 15.63335883152174, 12.474970772058823, 14.47354109042553, 8.305249325337332), # 37
(5.839501534526853, 14.969086363636364, 15.615454347826088, 12.471217647058824, 14.461895744680852, 8.272107496251873), # 38
(5.851043070652174, 14.983002805397728, 15.595394429347825, 12.466996875000001, 14.44880944148936, 8.23573926161919), # 39
(5.862336157289003, 14.99669744318182, 15.573233695652176, 12.462316176470589, 14.434308510638296, 8.196256559220389), # 40
(5.873386836636828, 15.010168359374997, 15.549026766304348, 12.457183272058824, 14.418419281914893, 8.153771326836583), # 41
(5.88420115089514, 15.023413636363639, 15.522828260869566, 12.451605882352942, 14.401168085106384, 8.108395502248875), # 42
(5.894785142263428, 15.03643135653409, 15.494692798913043, 12.445591727941178, 14.38258125, 8.060241023238381), # 43
(5.905144852941176, 15.049219602272727, 15.464675, 12.439148529411764, 14.36268510638298, 8.009419827586207), # 44
(5.915286325127877, 15.061776455965909, 15.432829483695656, 12.43228400735294, 14.341505984042554, 7.956043853073464), # 45
(5.925215601023019, 15.074100000000003, 15.39921086956522, 12.425005882352941, 14.319070212765958, 7.90022503748126), # 46
(5.934938722826087, 15.086188316761364, 15.363873777173913, 12.417321874999999, 14.295404122340427, 7.842075318590705), # 47
(5.944461732736574, 15.098039488636365, 15.326872826086957, 12.409239705882353, 14.27053404255319, 7.7817066341829095), # 48
(5.953790672953963, 15.10965159801136, 15.288262635869566, 12.400767095588236, 14.24448630319149, 7.71923092203898), # 49
(5.96293158567775, 15.121022727272724, 15.248097826086958, 12.391911764705883, 14.217287234042553, 7.65476011994003), # 50
(5.971890513107417, 15.132150958806818, 15.206433016304347, 12.38268143382353, 14.188963164893616, 7.588406165667167), # 51
(5.980673497442456, 15.143034375, 15.163322826086954, 12.373083823529411, 14.159540425531915, 7.5202809970015), # 52
(5.989286580882353, 15.153671058238638, 15.118821875, 12.363126654411765, 14.129045345744682, 7.450496551724138), # 53
(5.9977358056266, 15.164059090909088, 15.072984782608694, 12.352817647058824, 14.09750425531915, 7.379164767616192), # 54
(6.00602721387468, 15.174196555397728, 15.02586616847826, 12.342164522058825, 14.064943484042553, 7.306397582458771), # 55
(6.014166847826087, 15.184081534090907, 14.977520652173913, 12.331175, 14.031389361702129, 7.232306934032984), # 56
(6.022160749680308, 15.193712109375003, 14.92800285326087, 12.319856801470587, 13.996868218085105, 7.15700476011994), # 57
(6.030014961636829, 15.203086363636363, 14.877367391304347, 12.308217647058825, 13.961406382978723, 7.0806029985007495), # 58
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59
)
passenger_arriving_acc = (
(5, 5, 6, 5, 2, 0, 10, 15, 7, 3, 5, 0), # 0
(12, 14, 12, 13, 4, 0, 19, 29, 14, 7, 9, 0), # 1
(17, 22, 20, 18, 4, 0, 35, 38, 25, 15, 9, 0), # 2
(21, 34, 33, 22, 7, 0, 43, 51, 27, 19, 9, 0), # 3
(23, 47, 45, 28, 9, 0, 52, 53, 33, 21, 10, 0), # 4
(29, 56, 60, 34, 11, 0, 62, 64, 47, 27, 15, 0), # 5
(32, 64, 69, 35, 16, 0, 68, 71, 51, 32, 19, 0), # 6
(38, 79, 80, 37, 20, 0, 74, 84, 62, 39, 20, 0), # 7
(44, 93, 86, 37, 25, 0, 83, 88, 67, 44, 21, 0), # 8
(47, 108, 100, 42, 26, 0, 89, 100, 71, 53, 23, 0), # 9
(54, 119, 111, 44, 28, 0, 99, 110, 76, 65, 25, 0), # 10
(58, 134, 125, 51, 30, 0, 108, 119, 81, 75, 29, 0), # 11
(64, 142, 128, 57, 32, 0, 121, 132, 93, 78, 31, 0), # 12
(70, 159, 135, 61, 34, 0, 128, 146, 107, 90, 33, 0), # 13
(76, 171, 144, 67, 38, 0, 137, 154, 110, 94, 36, 0), # 14
(81, 181, 152, 70, 42, 0, 149, 163, 122, 104, 43, 0), # 15
(87, 188, 162, 71, 44, 0, 160, 172, 131, 112, 47, 0), # 16
(94, 196, 169, 77, 45, 0, 164, 186, 138, 114, 52, 0), # 17
(101, 205, 177, 79, 51, 0, 173, 199, 146, 117, 54, 0), # 18
(109, 209, 191, 84, 52, 0, 181, 212, 160, 122, 56, 0), # 19
(114, 224, 209, 89, 55, 0, 187, 222, 168, 133, 59, 0), # 20
(122, 240, 223, 90, 59, 0, 201, 235, 173, 141, 60, 0), # 21
(127, 253, 231, 93, 63, 0, 207, 248, 180, 147, 64, 0), # 22
(135, 266, 238, 94, 65, 0, 216, 263, 183, 152, 66, 0), # 23
(140, 279, 251, 101, 67, 0, 223, 275, 195, 155, 71, 0), # 24
(147, 299, 263, 108, 71, 0, 227, 291, 201, 162, 74, 0), # 25
(152, 317, 268, 112, 74, 0, 234, 304, 209, 167, 80, 0), # 26
(161, 328, 276, 119, 74, 0, 241, 318, 216, 174, 82, 0), # 27
(164, 334, 289, 124, 78, 0, 254, 328, 227, 180, 86, 0), # 28
(172, 351, 300, 125, 78, 0, 264, 345, 239, 186, 89, 0), # 29
(177, 366, 309, 132, 83, 0, 272, 359, 243, 194, 91, 0), # 30
(186, 375, 320, 138, 83, 0, 279, 370, 252, 200, 94, 0), # 31
(193, 384, 329, 141, 88, 0, 287, 382, 261, 204, 97, 0), # 32
(201, 390, 340, 142, 91, 0, 296, 397, 268, 209, 100, 0), # 33
(210, 403, 348, 145, 95, 0, 301, 410, 273, 217, 103, 0), # 34
(211, 410, 360, 153, 99, 0, 313, 412, 278, 225, 104, 0), # 35
(218, 422, 373, 160, 102, 0, 322, 419, 287, 234, 107, 0), # 36
(222, 436, 376, 169, 105, 0, 333, 427, 295, 241, 109, 0), # 37
(226, 447, 385, 173, 109, 0, 342, 442, 305, 243, 112, 0), # 38
(229, 460, 395, 175, 110, 0, 348, 448, 312, 254, 116, 0), # 39
(241, 474, 405, 179, 111, 0, 361, 456, 317, 263, 122, 0), # 40
(247, 483, 418, 184, 114, 0, 370, 468, 324, 270, 126, 0), # 41
(255, 493, 427, 189, 117, 0, 378, 478, 327, 276, 129, 0), # 42
(263, 507, 439, 193, 117, 0, 387, 491, 331, 279, 131, 0), # 43
(266, 519, 441, 197, 119, 0, 392, 505, 342, 283, 133, 0), # 44
(270, 532, 453, 202, 120, 0, 396, 516, 349, 287, 136, 0), # 45
(274, 549, 461, 207, 123, 0, 405, 535, 357, 294, 137, 0), # 46
(278, 563, 467, 214, 128, 0, 411, 560, 364, 301, 143, 0), # 47
(285, 579, 474, 218, 135, 0, 416, 570, 372, 309, 145, 0), # 48
(291, 591, 483, 224, 136, 0, 425, 579, 378, 316, 151, 0), # 49
(295, 603, 489, 228, 140, 0, 432, 589, 388, 323, 153, 0), # 50
(300, 613, 495, 232, 140, 0, 440, 600, 405, 332, 158, 0), # 51
(301, 622, 504, 234, 142, 0, 446, 612, 414, 344, 159, 0), # 52
(308, 638, 514, 237, 146, 0, 451, 626, 423, 347, 159, 0), # 53
(314, 646, 524, 239, 147, 0, 459, 641, 427, 350, 161, 0), # 54
(317, 662, 528, 246, 149, 0, 470, 651, 431, 358, 163, 0), # 55
(325, 676, 539, 252, 151, 0, 474, 666, 434, 362, 165, 0), # 56
(329, 689, 547, 254, 152, 0, 481, 675, 448, 363, 168, 0), # 57
(334, 700, 556, 260, 157, 0, 489, 684, 456, 371, 170, 0), # 58
(334, 700, 556, 260, 157, 0, 489, 684, 456, 371, 170, 0), # 59
)
passenger_arriving_rate = (
(4.769372805092186, 9.786903409090908, 8.63377490359897, 4.56211956521739, 2.5714903846153843, 0.0, 8.562228260869567, 10.285961538461537, 6.843179347826086, 5.755849935732647, 2.446725852272727, 0.0), # 0
(4.81413961808604, 9.895739902146465, 8.680408780526994, 4.587526358695651, 2.5907639423076922, 0.0, 8.559309850543478, 10.363055769230769, 6.881289538043478, 5.786939187017995, 2.4739349755366162, 0.0), # 1
(4.8583952589991215, 10.00296202020202, 8.725935732647814, 4.612373913043478, 2.609630769230769, 0.0, 8.556302173913043, 10.438523076923076, 6.918560869565217, 5.817290488431875, 2.500740505050505, 0.0), # 2
(4.902102161984196, 10.1084540625, 8.770322501606683, 4.636641032608694, 2.628073557692308, 0.0, 8.553205638586958, 10.512294230769232, 6.954961548913042, 5.846881667737789, 2.527113515625, 0.0), # 3
(4.94522276119403, 10.212100328282828, 8.813535829048842, 4.66030652173913, 2.6460749999999997, 0.0, 8.550020652173911, 10.584299999999999, 6.990459782608696, 5.875690552699228, 2.553025082070707, 0.0), # 4
(4.987719490781387, 10.313785116792928, 8.855542456619537, 4.6833491847826085, 2.663617788461538, 0.0, 8.546747622282608, 10.654471153846153, 7.025023777173913, 5.90369497107969, 2.578446279198232, 0.0), # 5
(5.029554784899035, 10.413392727272727, 8.896309125964011, 4.705747826086957, 2.680684615384615, 0.0, 8.54338695652174, 10.72273846153846, 7.058621739130436, 5.930872750642674, 2.603348181818182, 0.0), # 6
(5.0706910776997365, 10.510807458964646, 8.935802578727506, 4.72748125, 2.697258173076923, 0.0, 8.5399390625, 10.789032692307693, 7.0912218750000005, 5.95720171915167, 2.6277018647411614, 0.0), # 7
(5.1110908033362605, 10.60591361111111, 8.97398955655527, 4.7485282608695645, 2.7133211538461537, 0.0, 8.536404347826087, 10.853284615384615, 7.122792391304347, 5.982659704370181, 2.6514784027777774, 0.0), # 8
(5.1507163959613695, 10.698595482954543, 9.010836801092546, 4.768867663043478, 2.7288562499999993, 0.0, 8.532783220108696, 10.915424999999997, 7.153301494565217, 6.007224534061697, 2.6746488707386358, 0.0), # 9
(5.1895302897278315, 10.788737373737373, 9.046311053984574, 4.7884782608695655, 2.743846153846154, 0.0, 8.529076086956522, 10.975384615384616, 7.182717391304348, 6.030874035989716, 2.697184343434343, 0.0), # 10
(5.227494918788412, 10.87622358270202, 9.080379056876605, 4.807338858695652, 2.7582735576923074, 0.0, 8.525283355978262, 11.03309423076923, 7.2110082880434785, 6.053586037917737, 2.719055895675505, 0.0), # 11
(5.2645727172958745, 10.960938409090907, 9.113007551413881, 4.825428260869565, 2.7721211538461534, 0.0, 8.521405434782608, 11.088484615384614, 7.238142391304347, 6.0753383676092545, 2.740234602272727, 0.0), # 12
(5.3007261194029835, 11.042766152146465, 9.144163279241644, 4.8427252717391305, 2.7853716346153847, 0.0, 8.51744273097826, 11.141486538461539, 7.264087907608696, 6.096108852827762, 2.760691538036616, 0.0), # 13
(5.335917559262511, 11.121591111111112, 9.173812982005138, 4.859208695652173, 2.7980076923076918, 0.0, 8.513395652173912, 11.192030769230767, 7.288813043478259, 6.115875321336759, 2.780397777777778, 0.0), # 14
(5.370109471027217, 11.19729758522727, 9.201923401349612, 4.874857336956521, 2.810012019230769, 0.0, 8.509264605978261, 11.240048076923076, 7.312286005434782, 6.134615600899742, 2.7993243963068175, 0.0), # 15
(5.403264288849868, 11.269769873737372, 9.228461278920308, 4.88965, 2.8213673076923076, 0.0, 8.50505, 11.28546923076923, 7.334474999999999, 6.152307519280206, 2.817442468434343, 0.0), # 16
(5.4353444468832315, 11.338892275883836, 9.253393356362468, 4.903565489130434, 2.83205625, 0.0, 8.500752241847827, 11.328225, 7.3553482336956515, 6.168928904241644, 2.834723068970959, 0.0), # 17
(5.46631237928007, 11.40454909090909, 9.276686375321336, 4.916582608695652, 2.842061538461539, 0.0, 8.496371739130435, 11.368246153846156, 7.374873913043479, 6.184457583547558, 2.8511372727272724, 0.0), # 18
(5.496130520193152, 11.466624618055553, 9.298307077442159, 4.928680163043477, 2.8513658653846155, 0.0, 8.491908899456522, 11.405463461538462, 7.393020244565217, 6.198871384961439, 2.866656154513888, 0.0), # 19
(5.524761303775241, 11.525003156565655, 9.318222204370178, 4.939836956521739, 2.859951923076923, 0.0, 8.487364130434782, 11.439807692307692, 7.409755434782609, 6.212148136246785, 2.8812507891414136, 0.0), # 20
(5.552167164179106, 11.579569005681815, 9.336398497750643, 4.95003179347826, 2.8678024038461536, 0.0, 8.482737839673913, 11.471209615384614, 7.425047690217391, 6.224265665167096, 2.894892251420454, 0.0), # 21
(5.578310535557506, 11.630206464646465, 9.352802699228791, 4.95924347826087, 2.8748999999999993, 0.0, 8.47803043478261, 11.499599999999997, 7.438865217391305, 6.235201799485861, 2.907551616161616, 0.0), # 22
(5.603153852063214, 11.67679983270202, 9.367401550449872, 4.967450815217391, 2.8812274038461534, 0.0, 8.473242323369567, 11.524909615384614, 7.451176222826087, 6.244934366966581, 2.919199958175505, 0.0), # 23
(5.62665954784899, 11.719233409090908, 9.380161793059125, 4.974632608695652, 2.8867673076923075, 0.0, 8.468373913043479, 11.54706923076923, 7.461948913043478, 6.25344119537275, 2.929808352272727, 0.0), # 24
(5.648790057067603, 11.757391493055556, 9.391050168701799, 4.980767663043478, 2.8915024038461534, 0.0, 8.463425611413044, 11.566009615384614, 7.471151494565217, 6.260700112467866, 2.939347873263889, 0.0), # 25
(5.669507813871817, 11.79115838383838, 9.400033419023135, 4.985834782608695, 2.8954153846153843, 0.0, 8.458397826086957, 11.581661538461537, 7.478752173913043, 6.266688946015424, 2.947789595959595, 0.0), # 26
(5.688775252414398, 11.820418380681815, 9.40707828566838, 4.989812771739131, 2.8984889423076923, 0.0, 8.453290964673915, 11.593955769230769, 7.484719157608696, 6.271385523778919, 2.9551045951704538, 0.0), # 27
(5.7065548068481124, 11.84505578282828, 9.412151510282778, 4.992680434782609, 2.9007057692307687, 0.0, 8.448105434782608, 11.602823076923075, 7.489020652173913, 6.274767673521851, 2.96126394570707, 0.0), # 28
(5.722808911325724, 11.864954889520202, 9.415219834511568, 4.994416576086956, 2.902048557692307, 0.0, 8.44284164402174, 11.608194230769229, 7.491624864130435, 6.276813223007712, 2.9662387223800506, 0.0), # 29
(5.7375, 11.879999999999999, 9.41625, 4.995, 2.9025, 0.0, 8.4375, 11.61, 7.4925, 6.277499999999999, 2.9699999999999998, 0.0), # 30
(5.751246651214834, 11.892497471590906, 9.415477744565216, 4.994894632352941, 2.9023357180851064, 0.0, 8.430077267616193, 11.609342872340426, 7.492341948529411, 6.276985163043476, 2.9731243678977264, 0.0), # 31
(5.7646965153452685, 11.904829772727274, 9.413182826086956, 4.994580588235293, 2.901846382978723, 0.0, 8.418644565217393, 11.607385531914892, 7.49187088235294, 6.275455217391303, 2.9762074431818184, 0.0), # 32
(5.777855634590792, 11.916995369318181, 9.40939801630435, 4.994060955882353, 2.9010372606382977, 0.0, 8.403313830584706, 11.60414904255319, 7.491091433823529, 6.272932010869566, 2.9792488423295453, 0.0), # 33
(5.790730051150895, 11.928992727272727, 9.40415608695652, 4.993338823529412, 2.899913617021276, 0.0, 8.38419700149925, 11.599654468085104, 7.490008235294118, 6.269437391304347, 2.9822481818181816, 0.0), # 34
(5.803325807225064, 11.940820312499996, 9.39748980978261, 4.9924172794117645, 2.898480718085106, 0.0, 8.361406015742128, 11.593922872340425, 7.488625919117647, 6.264993206521739, 2.985205078124999, 0.0), # 35
(5.815648945012788, 11.952476590909091, 9.389431956521738, 4.9912994117647065, 2.896743829787234, 0.0, 8.335052811094453, 11.586975319148936, 7.486949117647059, 6.259621304347825, 2.988119147727273, 0.0), # 36
(5.8277055067135555, 11.96396002840909, 9.380015298913044, 4.989988308823529, 2.8947082180851056, 0.0, 8.305249325337332, 11.578832872340422, 7.484982463235293, 6.253343532608695, 2.9909900071022726, 0.0), # 37
(5.839501534526853, 11.97526909090909, 9.369272608695653, 4.988487058823529, 2.89237914893617, 0.0, 8.272107496251873, 11.56951659574468, 7.4827305882352935, 6.246181739130434, 2.9938172727272727, 0.0), # 38
(5.851043070652174, 11.986402244318182, 9.357236657608695, 4.98679875, 2.8897618882978717, 0.0, 8.23573926161919, 11.559047553191487, 7.480198125, 6.23815777173913, 2.9966005610795454, 0.0), # 39
(5.862336157289003, 11.997357954545455, 9.343940217391305, 4.984926470588235, 2.886861702127659, 0.0, 8.196256559220389, 11.547446808510635, 7.477389705882353, 6.22929347826087, 2.999339488636364, 0.0), # 40
(5.873386836636828, 12.008134687499997, 9.329416059782607, 4.982873308823529, 2.8836838563829783, 0.0, 8.153771326836583, 11.534735425531913, 7.474309963235294, 6.219610706521738, 3.002033671874999, 0.0), # 41
(5.88420115089514, 12.01873090909091, 9.31369695652174, 4.980642352941176, 2.880233617021277, 0.0, 8.108395502248875, 11.520934468085107, 7.4709635294117644, 6.209131304347826, 3.0046827272727277, 0.0), # 42
(5.894785142263428, 12.02914508522727, 9.296815679347825, 4.978236691176471, 2.8765162499999994, 0.0, 8.060241023238381, 11.506064999999998, 7.467355036764706, 6.1978771195652165, 3.0072862713068176, 0.0), # 43
(5.905144852941176, 12.03937568181818, 9.278805, 4.975659411764705, 2.8725370212765955, 0.0, 8.009419827586207, 11.490148085106382, 7.4634891176470575, 6.1858699999999995, 3.009843920454545, 0.0), # 44
(5.915286325127877, 12.049421164772726, 9.259697690217394, 4.972913602941176, 2.8683011968085106, 0.0, 7.956043853073464, 11.473204787234042, 7.459370404411764, 6.1731317934782615, 3.0123552911931815, 0.0), # 45
(5.925215601023019, 12.059280000000001, 9.239526521739132, 4.970002352941176, 2.8638140425531913, 0.0, 7.90022503748126, 11.455256170212765, 7.455003529411765, 6.159684347826087, 3.0148200000000003, 0.0), # 46
(5.934938722826087, 12.06895065340909, 9.218324266304347, 4.966928749999999, 2.859080824468085, 0.0, 7.842075318590705, 11.43632329787234, 7.450393124999999, 6.145549510869564, 3.0172376633522724, 0.0), # 47
(5.944461732736574, 12.07843159090909, 9.196123695652174, 4.9636958823529405, 2.854106808510638, 0.0, 7.7817066341829095, 11.416427234042551, 7.445543823529412, 6.130749130434782, 3.0196078977272727, 0.0), # 48
(5.953790672953963, 12.087721278409088, 9.17295758152174, 4.960306838235294, 2.8488972606382976, 0.0, 7.71923092203898, 11.39558904255319, 7.4404602573529415, 6.115305054347826, 3.021930319602272, 0.0), # 49
(5.96293158567775, 12.096818181818177, 9.148858695652175, 4.956764705882353, 2.8434574468085105, 0.0, 7.65476011994003, 11.373829787234042, 7.43514705882353, 6.099239130434783, 3.0242045454545443, 0.0), # 50
(5.971890513107417, 12.105720767045453, 9.123859809782608, 4.953072573529411, 2.837792632978723, 0.0, 7.588406165667167, 11.351170531914892, 7.429608860294118, 6.082573206521738, 3.026430191761363, 0.0), # 51
(5.980673497442456, 12.114427499999998, 9.097993695652173, 4.949233529411764, 2.8319080851063827, 0.0, 7.5202809970015, 11.32763234042553, 7.4238502941176465, 6.065329130434781, 3.0286068749999995, 0.0), # 52
(5.989286580882353, 12.122936846590909, 9.071293125, 4.945250661764706, 2.8258090691489364, 0.0, 7.450496551724138, 11.303236276595745, 7.417875992647058, 6.04752875, 3.030734211647727, 0.0), # 53
(5.9977358056266, 12.13124727272727, 9.043790869565216, 4.941127058823529, 2.8195008510638297, 0.0, 7.379164767616192, 11.278003404255319, 7.411690588235294, 6.0291939130434775, 3.0328118181818176, 0.0), # 54
(6.00602721387468, 12.139357244318182, 9.015519701086955, 4.93686580882353, 2.8129886968085103, 0.0, 7.306397582458771, 11.251954787234041, 7.405298713235295, 6.010346467391304, 3.0348393110795455, 0.0), # 55
(6.014166847826087, 12.147265227272724, 8.986512391304348, 4.9324699999999995, 2.8062778723404254, 0.0, 7.232306934032984, 11.225111489361701, 7.398705, 5.991008260869565, 3.036816306818181, 0.0), # 56
(6.022160749680308, 12.154969687500001, 8.95680171195652, 4.927942720588234, 2.7993736436170207, 0.0, 7.15700476011994, 11.197494574468083, 7.391914080882352, 5.9712011413043475, 3.0387424218750003, 0.0), # 57
(6.030014961636829, 12.16246909090909, 8.926420434782608, 4.923287058823529, 2.792281276595744, 0.0, 7.0806029985007495, 11.169125106382976, 7.384930588235295, 5.950946956521738, 3.0406172727272724, 0.0), # 58
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59
)
passenger_allighting_rate = (
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 0
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 1
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 2
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 3
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 4
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 5
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 6
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 7
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 8
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 9
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 10
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 11
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 12
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 13
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 14
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 15
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 16
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 17
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 18
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 19
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 20
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 21
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 22
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 23
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 24
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 25
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 26
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 27
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 28
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 29
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 30
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 31
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 32
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 33
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 34
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 35
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 36
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 37
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 38
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 39
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 40
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 41
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 42
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 43
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 44
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 45
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 46
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 47
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 48
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 49
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 50
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 51
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 52
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 53
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 54
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 55
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 56
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 57
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 58
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 59
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 258194110137029475889902652135037600173
#index for seed sequence child
child_seed_index = (
1, # 0
85, # 1
)
| 113.501493 | 213 | 0.730058 | 5,147 | 38,023 | 5.391102 | 0.239751 | 0.311374 | 0.246504 | 0.467061 | 0.326798 | 0.326366 | 0.326366 | 0.326366 | 0.326366 | 0.326366 | 0 | 0.81975 | 0.118718 | 38,023 | 334 | 214 | 113.841317 | 0.008326 | 0.031849 | 0 | 0.202532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.015823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
cef952a4a2bcdf6a9b8b72d13917596b616cde0e | 82 | py | Python | pycroscopy/simulation/__init__.py | kbschliep/pycroscopy | 4f18e7b453aca496e611603616112c1a1a524beb | [
"MIT"
] | 1 | 2021-11-13T05:15:58.000Z | 2021-11-13T05:15:58.000Z | pycroscopy/simulation/__init__.py | kbschliep/pycroscopy | 4f18e7b453aca496e611603616112c1a1a524beb | [
"MIT"
] | null | null | null | pycroscopy/simulation/__init__.py | kbschliep/pycroscopy | 4f18e7b453aca496e611603616112c1a1a524beb | [
"MIT"
] | null | null | null | from . import afm_calculations, afm_lib
__all__ = ['afm_calculations', 'afm_lib'] | 27.333333 | 41 | 0.768293 | 11 | 82 | 5 | 0.545455 | 0.545455 | 0.654545 | 0.763636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109756 | 82 | 3 | 41 | 27.333333 | 0.753425 | 0 | 0 | 0 | 0 | 0 | 0.277108 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 6 |
3018884ff85a0d3ef8d8304110575b6304b61bf3 | 2,807 | py | Python | epytope/Data/pssms/smmpmbec/mat/B_40_02_11.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/smmpmbec/mat/B_40_02_11.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/smmpmbec/mat/B_40_02_11.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | B_40_02_11 = {0: {'A': 0.078, 'C': 0.001, 'E': 0.007, 'D': 0.019, 'G': 0.005, 'F': -0.068, 'I': -0.042, 'H': -0.015, 'K': -0.013, 'M': -0.139, 'L': -0.099, 'N': -0.017, 'Q': 0.022, 'P': 0.115, 'S': 0.065, 'R': 0.048, 'T': 0.069, 'W': -0.033, 'V': 0.021, 'Y': -0.024}, 1: {'A': 0.093, 'C': -0.028, 'E': -0.195, 'D': -0.105, 'G': 0.016, 'F': -0.021, 'I': 0.016, 'H': 0.022, 'K': 0.092, 'M': 0.019, 'L': -0.028, 'N': -0.034, 'Q': -0.056, 'P': 0.047, 'S': 0.062, 'R': 0.11, 'T': 0.034, 'W': -0.038, 'V': 0.012, 'Y': -0.017}, 2: {'A': -0.016, 'C': 0.014, 'E': 0.023, 'D': 0.026, 'G': 0.023, 'F': 0.003, 'I': -0.068, 'H': 0.013, 'K': 0.063, 'M': -0.096, 'L': -0.013, 'N': -0.006, 'Q': 0.036, 'P': 0.102, 'S': -0.051, 'R': 0.087, 'T': -0.034, 'W': -0.024, 'V': -0.03, 'Y': -0.055}, 3: {'A': -0.007, 'C': 0.03, 'E': 0.025, 'D': -0.004, 'G': 0.06, 'F': -0.044, 'I': -0.033, 'H': -0.026, 'K': -0.1, 'M': -0.034, 'L': -0.063, 'N': 0.038, 'Q': 0.034, 'P': 0.035, 'S': 0.072, 'R': -0.153, 'T': 0.064, 'W': 0.058, 'V': -0.0, 'Y': 0.05}, 4: {'A': 0.008, 'C': 0.025, 'E': 0.0, 'D': 0.054, 'G': -0.016, 'F': -0.023, 'I': 0.017, 'H': -0.017, 'K': -0.048, 'M': -0.012, 'L': 0.001, 'N': 0.092, 'Q': -0.06, 'P': 0.082, 'S': 0.018, 'R': -0.148, 'T': 0.02, 'W': 0.014, 'V': 0.016, 'Y': -0.022}, 5: {'A': 0.048, 'C': -0.049, 'E': 0.009, 'D': -0.029, 'G': 0.022, 'F': -0.132, 'I': 0.015, 'H': -0.012, 'K': 0.051, 'M': -0.006, 'L': 0.023, 'N': -0.015, 'Q': 0.042, 'P': 0.031, 'S': 0.017, 'R': 0.023, 'T': 0.045, 'W': -0.067, 'V': 0.04, 'Y': -0.056}, 6: {'A': 0.134, 'C': 0.028, 'E': 0.015, 'D': 0.079, 'G': 0.059, 'F': -0.076, 'I': -0.1, 'H': -0.003, 'K': -0.016, 'M': -0.135, 'L': -0.241, 'N': -0.026, 'Q': 0.0, 'P': 0.12, 'S': 0.079, 'R': 0.048, 'T': 0.089, 'W': -0.015, 'V': -0.048, 'Y': 0.01}, 7: {'A': 0.023, 'C': 0.011, 'E': -0.028, 'D': -0.02, 'G': 0.024, 'F': 0.027, 'I': 0.071, 'H': -0.057, 'K': -0.087, 'M': 0.029, 'L': 0.003, 'N': 0.005, 'Q': -0.007, 'P': -0.044, 'S': 0.012, 'R': -0.106, 'T': 0.036, 'W': 0.039, 'V': 0.057, 'Y': 0.013}, 8: {'A': -0.018, 'C': 0.016, 'E': -0.017, 'D': -0.038, 'G': -0.002, 'F': 0.04, 'I': 0.022, 'H': 0.015, 'K': -0.022, 'M': 0.023, 'L': 0.014, 'N': 0.003, 'Q': -0.048, 'P': -0.015, 'S': -0.029, 'R': 0.003, 'T': -0.003, 'W': 0.033, 'V': -0.027, 'Y': 0.049}, 9: {'A': 0.006, 'C': 0.001, 'E': 0.003, 'D': -0.024, 'G': -0.036, 'F': -0.046, 'I': -0.017, 'H': 0.047, 'K': 0.054, 'M': 0.029, 'L': -0.013, 'N': 0.038, 'Q': 0.012, 'P': -0.077, 'S': -0.031, 'R': 0.072, 'T': -0.014, 'W': 0.011, 'V': -0.034, 'Y': 0.02}, 10: {'A': -0.124, 'C': -0.004, 'E': -0.042, 'D': 0.002, 'G': -0.014, 'F': -0.099, 'I': -0.097, 'H': 0.102, 'K': 0.122, 'M': -0.024, 'L': -0.134, 'N': 0.033, 'Q': 0.027, 'P': -0.03, 'S': 0.024, 'R': 0.194, 'T': -0.021, 'W': 0.104, 'V': -0.131, 'Y': 0.111}, -1: {'con': 4.17244}} | 2,807 | 2,807 | 0.394727 | 679 | 2,807 | 1.627393 | 0.191458 | 0.01991 | 0.00905 | 0.01086 | 0.135747 | 0 | 0 | 0 | 0 | 0 | 0 | 0.374575 | 0.162095 | 2,807 | 1 | 2,807 | 2,807 | 0.095238 | 0 | 0 | 0 | 0 | 0 | 0.079416 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
306c93496d438a3087629cd5622ce78d5a2dda73 | 2,883 | py | Python | dec.py | aman-17/RABIN_CRYPTOSYSTEM | 83c8fb07f0bd8387206960b5bd85633da69e6af5 | [
"Apache-2.0"
] | 2 | 2021-11-27T06:51:51.000Z | 2021-11-28T17:45:14.000Z | dec.py | aman-17/RABIN_CRYPTOSYSTEM | 83c8fb07f0bd8387206960b5bd85633da69e6af5 | [
"Apache-2.0"
] | null | null | null | dec.py | aman-17/RABIN_CRYPTOSYSTEM | 83c8fb07f0bd8387206960b5bd85633da69e6af5 | [
"Apache-2.0"
] | 2 | 2021-11-11T12:38:00.000Z | 2021-11-28T17:46:14.000Z | import prime
import Rabin
import sys
from termcolor import colored, cprint
def delete_space(string):
lst = string.split(' ')
output = ''
for i in lst:
output += i
return output
def add_space(string):
string = string[::-1]
string = ' '.join(string[i:i + 8] for i in range(0, len(string), 8))
return string[::-1]
# main()
if __name__ == '__main__':
###########################################################
# Decryption
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint(' <Rabin 512> ','red','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('\n <Rabin-512 Decryption> ', 'red', 'on_grey')
print('\n')
ciphertext = int(delete_space(input('Ciphertext = ')), 32)
cprint('Private Keys :','red', 'on_grey')
print('\n')
p = int(delete_space(input('p = ')), 32)
q = int(delete_space(input('q = ')), 32)
plaintext = Rabin.decryption(ciphertext, p, q)
print('Plaintext =', add_space(format(plaintext, 'x').zfill(226 // 4)))
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint(' <Rabin 512> ','red','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
cprint('******************************************************************************************************','green','on_grey')
| 51.482143 | 136 | 0.263961 | 171 | 2,883 | 4.274854 | 0.298246 | 0.131327 | 0.213406 | 0.27907 | 0.391245 | 0.350205 | 0.350205 | 0.350205 | 0.350205 | 0.350205 | 0 | 0.010278 | 0.19008 | 2,883 | 55 | 137 | 52.418182 | 0.302784 | 0.005897 | 0 | 0.421053 | 0 | 0 | 0.633964 | 0.436675 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.210526 | 0.526316 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
306f83f179be49ec3cc5d05a5e3ac7746e8fb6b1 | 34 | py | Python | lesson2/consts.py | eyalsus/netanya-cyber-2022a | 626dd7c1331cac8e7f654fade7ab8ca108faaf4c | [
"MIT"
] | null | null | null | lesson2/consts.py | eyalsus/netanya-cyber-2022a | 626dd7c1331cac8e7f654fade7ab8ca108faaf4c | [
"MIT"
] | null | null | null | lesson2/consts.py | eyalsus/netanya-cyber-2022a | 626dd7c1331cac8e7f654fade7ab8ca108faaf4c | [
"MIT"
] | null | null | null | ABC = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' | 34 | 34 | 0.852941 | 2 | 34 | 14.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 34 | 1 | 34 | 34 | 0.90625 | 0 | 0 | 0 | 0 | 0 | 0.742857 | 0.742857 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0669921a5ed21aed9737c7f3b3fcfed43bb68f2a | 20 | py | Python | __init__.py | keyme/ihextools | 43cb6a51943d25bd8b71cefe3d1f985e3ad6a0a9 | [
"MIT"
] | null | null | null | __init__.py | keyme/ihextools | 43cb6a51943d25bd8b71cefe3d1f985e3ad6a0a9 | [
"MIT"
] | 1 | 2017-01-09T21:30:09.000Z | 2017-01-09T22:22:17.000Z | __init__.py | keyme/ihextools | 43cb6a51943d25bd8b71cefe3d1f985e3ad6a0a9 | [
"MIT"
] | 1 | 2017-01-09T21:25:20.000Z | 2017-01-09T21:25:20.000Z | from .ihex import *
| 10 | 19 | 0.7 | 3 | 20 | 4.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 20 | 1 | 20 | 20 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
066e4ccc42425cbbab100f7ec7bc04c2bfe8ea57 | 35 | py | Python | ravel/ext/falcon/__init__.py | gigaquads/pybiz | e9654592246be06a777934e889e03407c5c1673e | [
"MIT"
] | 2 | 2021-02-26T15:30:44.000Z | 2021-05-22T14:06:17.000Z | ravel/ext/falcon/__init__.py | gigaquads/ravel | e9654592246be06a777934e889e03407c5c1673e | [
"MIT"
] | null | null | null | ravel/ext/falcon/__init__.py | gigaquads/ravel | e9654592246be06a777934e889e03407c5c1673e | [
"MIT"
] | null | null | null | from .service import FalconService
| 17.5 | 34 | 0.857143 | 4 | 35 | 7.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 35 | 1 | 35 | 35 | 0.967742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
06afeb203407bdbe3046acb9485d16cf89fae787 | 10,721 | py | Python | tests/unit/test_endpoints.py | davidweterings/wagtail-tag-manager | 224a493170ace2fc6a5f92839b1eeddbe7671293 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_endpoints.py | davidweterings/wagtail-tag-manager | 224a493170ace2fc6a5f92839b1eeddbe7671293 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_endpoints.py | davidweterings/wagtail-tag-manager | 224a493170ace2fc6a5f92839b1eeddbe7671293 | [
"BSD-3-Clause"
] | 1 | 2021-01-05T12:44:56.000Z | 2021-01-05T12:44:56.000Z | import json
from http.cookies import SimpleCookie
import pytest
from tests.factories.tag import (
TagFactory,
tag_lazy_marketing,
tag_lazy_necessary,
tag_lazy_statistics,
tag_lazy_preferences,
tag_instant_marketing,
tag_instant_statistics,
tag_instant_preferences,
)
from tests.factories.page import TaggableContentPageFactory
from tests.factories.trigger import TriggerFactory
from wagtail_tag_manager.utils import get_consent
from wagtail_tag_manager.models import Tag, Trigger
@pytest.mark.django_db
def test_lazy_endpoint(client, site):
response = client.get("/wtm/lazy/")
assert response.status_code == 400
response = client.post("/wtm/lazy/")
assert response.status_code == 400
response = client.post(
"/wtm/lazy/", json.dumps({}), content_type="application/json"
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
@pytest.mark.django_db
def test_lazy_cookies(client, site):
response = client.post(
"/wtm/lazy/", json.dumps({}), content_type="application/json"
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert "wtm" in response.cookies
consent_state = get_consent(response)
assert consent_state.get("necessary", "") == "true"
assert consent_state.get("preferences", "") == "unset"
assert consent_state.get("statistics", "") == "true"
assert consent_state.get("marketing", "") == "false"
@pytest.mark.django_db
def test_required_lazy_cookies(client, site):
tag_lazy_necessary()
response = client.post(
"/wtm/lazy/", json.dumps({}), content_type="application/json"
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert len(data["tags"]) == 1
assert "wtm" in response.cookies
consent_state = get_consent(response)
assert consent_state.get("necessary", "") == "true"
@pytest.mark.django_db
def test_initial_lazy_cookies(client, site):
tag_instant_preferences()
tag_lazy_preferences()
client.cookies = SimpleCookie({"wtm": "preferences:unset"})
response = client.post(
"/wtm/lazy/", json.dumps({}), content_type="application/json"
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert len(data["tags"]) == 2
@pytest.mark.django_db
def test_statistics_lazy_cookies(client, site):
tag_instant_statistics()
tag_lazy_statistics()
client.cookies = SimpleCookie({"wtm": ""})
response = client.post(
"/wtm/lazy/", json.dumps({}), content_type="application/json"
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert len(data["tags"]) == 0
assert "wtm" in response.cookies
consent_state = get_consent(response)
assert consent_state.get("statistics", "") == "true"
@pytest.mark.django_db
def test_generic_lazy_cookies(client, site):
tag_instant_marketing()
tag_lazy_marketing()
response = client.post(
"/wtm/lazy/", json.dumps({}), content_type="application/json"
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert len(data["tags"]) == 0
@pytest.mark.django_db
def test_passive_tags(client, site):
tag_necessary = TagFactory(
name="necessary lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
content='<script>console.log("necessary: {{ trigger_value }}")</script>',
)
tag_preferences = TagFactory(
name="preferences lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
tag_type="preferences",
content='<script>console.log("preferences: {{ trigger_value }}")</script>',
)
tag_statistics = TagFactory(
name="statistics lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
tag_type="statistics",
content='<script>console.log("statistics: {{ trigger_value }}")</script>',
)
tag_marketing = TagFactory(
name="marketing lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
tag_type="marketing",
content='<script>console.log("marketing: {{ trigger_value }}")</script>',
)
assert tag_necessary in Tag.objects.passive().sorted()
assert tag_preferences in Tag.objects.passive().sorted()
assert tag_statistics in Tag.objects.passive().sorted()
assert tag_marketing in Tag.objects.passive().sorted()
trigger = TriggerFactory()
trigger.tags.add(tag_necessary)
trigger.tags.add(tag_preferences)
trigger.tags.add(tag_statistics)
trigger.tags.add(tag_marketing)
response = client.post(
"/wtm/lazy/",
json.dumps({"pathname": "/", "search": ""}),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert len(data["tags"]) == 0
response = client.post(
"/wtm/lazy/",
json.dumps(
{
"pathname": "/",
"search": "",
"trigger": {
"slug": "trigger",
"type": Trigger.TYPE_FORM_SUBMIT,
"value": "1",
},
}
),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert 'console.log("necessary: 1")' in data["tags"][0]["string"]
client.cookies = SimpleCookie({"wtm": "preferences:true"})
response = client.post(
"/wtm/lazy/",
json.dumps(
{
"pathname": "/",
"search": "",
"trigger": {
"slug": "trigger",
"type": Trigger.TYPE_FORM_SUBMIT,
"value": "2",
},
}
),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert 'console.log("preferences: 2")' in data["tags"][1]["string"]
client.cookies = SimpleCookie({"wtm": "preferences:false|statistics:true"})
response = client.post(
"/wtm/lazy/",
json.dumps(
{
"pathname": "/",
"search": "",
"trigger": {
"slug": "trigger",
"type": Trigger.TYPE_FORM_SUBMIT,
"value": "3",
},
}
),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert 'console.log("statistics: 3")' in data["tags"][1]["string"]
client.cookies = SimpleCookie({"wtm": "preferences:false|marketing:true"})
response = client.post(
"/wtm/lazy/",
json.dumps(
{
"pathname": "/",
"search": "",
"trigger": {
"slug": "trigger",
"type": Trigger.TYPE_FORM_SUBMIT,
"value": "4",
},
}
),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
assert 'console.log("marketing: 4")' in data["tags"][1]["string"]
@pytest.mark.django_db
def test_page_tags(client, site):
tag_necessary = TagFactory(
name="necessary lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
content='<script>console.log("necessary")</script>',
)
tag_preferences = TagFactory(
name="preferences lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
tag_type="preferences",
content='<script>console.log("preferences")</script>',
)
tag_statistics = TagFactory(
name="statistics lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
tag_type="statistics",
content='<script>console.log("statistics")</script>',
)
tag_marketing = TagFactory(
name="marketing lazy",
auto_load=False,
tag_loading=Tag.LAZY_LOAD,
tag_type="marketing",
content='<script>console.log("marketing")</script>',
)
assert tag_necessary in Tag.objects.passive().sorted()
assert tag_preferences in Tag.objects.passive().sorted()
assert tag_statistics in Tag.objects.passive().sorted()
assert tag_marketing in Tag.objects.passive().sorted()
page = TaggableContentPageFactory(parent=site.root_page, slug="tagged-page")
page.wtm_tags.add(tag_necessary)
page.wtm_tags.add(tag_preferences)
page.wtm_tags.add(tag_statistics)
page.wtm_tags.add(tag_marketing)
page.save()
assert len(page.wtm_tags.all()) == 4
response = client.post(
"/wtm/lazy/",
json.dumps({"pathname": page.get_url()}),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
results = ['console.log("necessary")', 'console.log("preferences")']
for tag in data.get("tags", []):
assert tag["string"].strip() in results
client.cookies = SimpleCookie({"wtm": "preferences:true"})
response = client.post(
"/wtm/lazy/",
json.dumps({"pathname": page.get_url()}),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
results = ['console.log("necessary")', 'console.log("preferences")']
for tag in data.get("tags", []):
assert tag["string"].strip() in results
client.cookies = SimpleCookie({"wtm": "preferences:false|statistics:true"})
response = client.post(
"/wtm/lazy/",
json.dumps({"pathname": page.get_url()}),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
results = ['console.log("necessary")', 'console.log("statistics")']
for tag in data.get("tags", []):
assert tag["string"].strip() in results
client.cookies = SimpleCookie({"wtm": "preferences:false|marketing:true"})
response = client.post(
"/wtm/lazy/",
json.dumps({"pathname": page.get_url()}),
content_type="application/json",
)
data = response.json()
assert response.status_code == 200
assert "tags" in data
results = ['console.log("necessary")', 'console.log("marketing")']
for tag in data.get("tags", []):
assert tag["string"].strip() in results
| 29.212534 | 83 | 0.604235 | 1,175 | 10,721 | 5.359149 | 0.076596 | 0.021915 | 0.053994 | 0.064793 | 0.837224 | 0.807051 | 0.768302 | 0.750516 | 0.747658 | 0.740035 | 0 | 0.008602 | 0.251842 | 10,721 | 366 | 84 | 29.29235 | 0.776462 | 0 | 0 | 0.654723 | 0 | 0 | 0.18655 | 0.066785 | 0 | 0 | 0 | 0 | 0.205212 | 1 | 0.026059 | false | 0.029316 | 0.026059 | 0 | 0.052117 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
2309f2e732e7eef9a05fe39dcf238a6a57809fdc | 30,222 | py | Python | bom/tests.py | FixturFab/django-bomf | e6d7fec98197632cfa90f43c87b1bef60e09e874 | [
"MIT"
] | null | null | null | bom/tests.py | FixturFab/django-bomf | e6d7fec98197632cfa90f43c87b1bef60e09e874 | [
"MIT"
] | 7 | 2021-02-02T22:50:43.000Z | 2022-02-10T15:49:29.000Z | bom/tests.py | FixturFab/django-bomf | e6d7fec98197632cfa90f43c87b1bef60e09e874 | [
"MIT"
] | 1 | 2020-07-18T20:10:39.000Z | 2020-07-18T20:10:39.000Z | from django.test import TestCase, Client, TransactionTestCase
from django.urls import reverse
from django.contrib.auth.models import User
from unittest import skip
from re import finditer
from .helpers import create_some_fake_parts, create_a_fake_organization, create_a_fake_part_revision, \
create_a_fake_subpart, create_some_fake_part_classes, create_some_fake_manufacturers, create_some_fake_sellers
from .models import Part, SellerPart, ManufacturerPart, Seller, PartClass
from .forms import PartInfoForm, PartForm, AddSubpartForm, AddSellerPartForm
class TestBOM(TransactionTestCase):
def setUp(self):
self.client = Client()
self.user = User.objects.create_user(
'kasper', 'kasper@McFadden.com', 'ghostpassword')
self.organization = create_a_fake_organization(self.user)
self.profile = self.user.bom_profile(organization=self.organization)
def test_home(self):
self.client.login(username='kasper', password='ghostpassword')
response = self.client.post(reverse('bom:home'))
self.assertEqual(response.status_code, 200)
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:home'))
self.assertEqual(response.status_code, 200)
# Make sure only one part shows up
occurances = [m.start() for m in finditer(p1.full_part_number(), response.content.decode('utf-8'))]
self.assertEqual(len(occurances), 1)
response = self.client.get(reverse('bom:home'), {'q': p1.primary_manufacturer_part.manufacturer_part_number})
self.assertEqual(response.status_code, 200)
def test_part_info(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:part-info', kwargs={'part_id': p1.id}))
self.assertEqual(response.status_code, 200)
response = self.client.post(reverse('bom:part-info', kwargs={'part_id': p2.id}))
self.assertEqual(response.status_code, 200)
# test having no revisions
response = self.client.post(reverse('bom:part-info', kwargs={'part_id': p4.id}))
self.assertEqual(response.status_code, 200)
# set quantity
response = self.client.post(reverse('bom:part-info', kwargs={'part_id': p1.id}), {'quantity': 1000})
self.assertEqual(response.status_code, 200)
# test cache hit - TODO: probably want to make sure cache works
response = self.client.post(reverse('bom:part-info', kwargs={'part_id': p1.id}))
self.assertEqual(response.status_code, 200)
def test_part_manage_bom(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(
reverse('bom:part-manage-bom', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id, }))
self.assertEqual(response.status_code, 200)
response = self.client.post(
reverse('bom:part-manage-bom', kwargs={'part_id': p2.id, 'part_revision_id': p1.latest().id, }))
self.assertEqual(response.status_code, 200)
response = self.client.post(
reverse('bom:part-manage-bom', kwargs={'part_id': p3.id, 'part_revision_id': p3.latest().id, }))
self.assertEqual(response.status_code, 200)
def test_part_export_bom(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:part-export-bom', kwargs={'part_id': p1.id}))
self.assertEqual(response.status_code, 200)
def test_part_revision_export_bom(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:part-revision-export-bom', kwargs={'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 200)
def test_part_revision_export_bom_flat(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:part-revision-export-bom-flat', kwargs={'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 200)
def test_part_upload_bom(self):
# TODO: Why is this so slow?
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
with open('bom/test_files/test_parts.csv') as test_csv:
response = self.client.post(reverse('bom:part-upload-bom', kwargs={'part_id': p1.id}), {'file': test_csv})
self.assertEqual(response.status_code, 302)
with open('bom/test_files/test_parts_2.csv') as test_csv:
response = self.client.post(reverse('bom:part-upload-bom', kwargs={'part_id': p1.id}), {'file': test_csv})
self.assertEqual(response.status_code, 302)
def test_export_part_list(self):
self.client.login(username='kasper', password='ghostpassword')
create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:export-part-list'))
self.assertEqual(response.status_code, 200)
def test_create_part(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
new_part_mpn = 'STM32F401-NEW-PART'
new_part_form_data = {
'manufacturer_part_number': new_part_mpn,
'manufacturer': p1.primary_manufacturer_part.manufacturer.id,
'number_class': p1.number_class.id,
'number_item': '',
'number_variation': '',
'configuration': 'W',
'description': 'IC, MCU 32 Bit',
'revision': 'A',
'attribute': '',
'value': ''
}
response = self.client.post(reverse('bom:create-part'), new_part_form_data)
self.assertEqual(response.status_code, 302)
self.assertTrue('/part/' in response.url)
try:
created_part_id = response.url[6:-1]
created_part = Part.objects.get(id=created_part_id)
except IndexError:
self.assertFalse(True, "Part maybe not created? Url looks like: {}".format(response.url))
self.assertEqual(created_part.latest().description, 'IC, MCU 32 Bit')
self.assertEqual(created_part.manufacturer_parts().first().manufacturer_part_number, new_part_mpn)
new_part_form_data = {
'manufacturer_part_number': 'STM32F401',
'manufacturer': p1.primary_manufacturer_part.manufacturer.id,
'number_class': p1.number_class.id,
'number_item': '9999',
'number_variation': '01',
'description': 'IC, MCU 32 Bit',
'revision': 'A',
}
response = self.client.post(reverse('bom:create-part'), new_part_form_data)
self.assertEqual(response.status_code, 302)
self.assertTrue('/part/' in response.url)
new_part_form_data = {
'manufacturer_part_number': '',
'manufacturer': '',
'number_class': p1.number_class.id,
'number_item': '',
'number_variation': '',
'description': 'IC, MCU 32 Bit',
'revision': 'A',
}
response = self.client.post(reverse('bom:create-part'), new_part_form_data)
self.assertEqual(response.status_code, 302)
self.assertTrue('/part/' in response.url)
new_part_form_data = {
'manufacturer_part_number': '',
'manufacturer': '',
'number_class': p1.number_class.id,
'number_item': '1234',
'number_variation': 'AZ',
'description': 'IC, MCU 32 Bit',
'revision': 'A',
}
response = self.client.post(reverse('bom:create-part'), new_part_form_data)
self.assertEqual(response.status_code, 302)
self.assertTrue('/part/' in response.url)
new_part_form_data = {
'manufacturer_part_number': '',
'manufacturer': '',
'number_class': p1.number_class.id,
'number_item': '1235',
'number_variation': '',
'description': 'IC, MCU 32 Bit',
'revision': 'A',
}
response = self.client.post(reverse('bom:create-part'), new_part_form_data)
self.assertEqual(response.status_code, 302)
self.assertTrue('/part/' in response.url)
# fail nicely
new_part_form_data = {
'manufacturer_part_number': 'ABC123',
'manufacturer': '',
'number_class': p1.number_class.id,
'number_item': '',
'number_variation': '',
'description': 'IC, MCU 32 Bit',
'revision': 'A',
}
response = self.client.post(reverse('bom:create-part'), new_part_form_data)
self.assertEqual(response.status_code, 200)
# Make sure only one part shows up
response = self.client.post(reverse('bom:home'))
self.assertEqual(response.status_code, 200)
occurances = [m.start() for m in finditer(p1.full_part_number(), response.content.decode('utf-8'))]
self.assertEqual(len(occurances), 1)
def test_part_edit(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.get(reverse('bom:part-edit', kwargs={'part_id': p1.id}))
self.assertEqual(response.status_code, 200)
edit_part_form_data = {
'number_class': p1.number_class.id,
'number_item': '',
'number_variation': '',
}
response = self.client.post(reverse('bom:part-edit', kwargs={'part_id': p1.id}), edit_part_form_data)
self.assertEqual(response.status_code, 302)
def test_part_delete(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:part-delete', kwargs={'part_id': p1.id}))
self.assertEqual(response.status_code, 302)
def test_add_subpart(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
# Submit with no form data
response = self.client.post(reverse('bom:part-add-subpart', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id, }))
self.assertEqual(response.status_code, 302)
# Test adding two of the same subparts that also have assemblies. Make sure quantity gets incremented, and not 2 parts that are the same added
form_data = {'subpart_part_number': p2.full_part_number(), 'count': 3, 'reference': '', 'do_not_load': False}
response = self.client.post(reverse('bom:part-add-subpart', kwargs={'part_id': p3.id, 'part_revision_id': p3.latest().id, }), form_data)
self.assertEqual(response.status_code, 302)
# Below - make sure quantity gets incremented, not that there are > 1 parts
repeat_part_revision = p2.latest()
parts_p2 = 0
qty_p2 = 0
for p in p3.latest().indented():
if p['part_revision'] == repeat_part_revision:
parts_p2 += 1
qty_p2 = p['quantity']
self.assertEqual(1, parts_p2)
self.assertEqual(7, qty_p2)
# Test adding a third, but make it DNL
form_data = {'subpart_part_number': p2.full_part_number(), 'count': 3, 'reference': '', 'do_not_load': True}
response = self.client.post(reverse('bom:part-add-subpart', kwargs={'part_id': p3.id, 'part_revision_id': p3.latest().id, }), form_data)
self.assertEqual(response.status_code, 302)
# Below - make sure quantity gets incremented, not that there are > 1 parts
repeat_part_revision = p2.latest()
parts_p2 = 0
qty_p2_load = 0
qty_p2_do_not_load = 0
for p in p3.latest().indented():
if p['part_revision'] == repeat_part_revision:
parts_p2 += 1
if p['part_revision'] == repeat_part_revision and p['do_not_load']:
qty_p2_do_not_load += p['quantity']
elif p['part_revision'] == repeat_part_revision:
qty_p2_load += p['quantity']
self.assertEqual(2, parts_p2)
self.assertEqual(3, qty_p2_do_not_load)
self.assertEqual(7, qty_p2_load)
def test_remove_subpart(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
s1 = create_a_fake_subpart(p1.latest(), count=10)
response = self.client.post(
reverse('bom:part-remove-subpart',
kwargs={'part_id': p1.id, 'subpart_id': s1.id, 'part_revision_id': p1.latest().id, }))
self.assertEqual(response.status_code, 302)
def test_remove_all_subparts(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(
reverse('bom:part-remove-all-subparts', kwargs={'part_id': p3.id, 'part_revision_id': p3.latest().id}))
self.assertEqual(response.status_code, 302)
def test_upload_parts(self):
self.client.login(username='kasper', password='ghostpassword')
create_some_fake_part_classes(self.organization)
# part_count = Part.objects.all().count()
# Should pass
with open('bom/test_files/test_new_parts.csv') as test_csv:
response = self.client.post(reverse('bom:upload-parts'), {'file': test_csv})
self.assertEqual(response.status_code, 302)
new_part_count = Part.objects.all().count()
self.assertEqual(new_part_count, 4)
# Should fail because class doesn't exist
with open('bom/test_files/test_new_parts_2.csv') as test_csv:
response = self.client.post(reverse('bom:upload-parts'), {'file': test_csv})
self.assertEqual(response.status_code, 302)
found_error = False
for m in response.wsgi_request._messages:
if "Part class 216 in row 2 doesn't exist. Uploading of this part skipped." in str(m):
found_error = True
self.assertTrue(found_error)
# Part should be skipped because it already exists
with open('bom/test_files/test_new_parts_3.csv') as test_csv:
response = self.client.post(reverse('bom:upload-parts'), {'file': test_csv})
self.assertEqual(response.status_code, 302)
found_error = False
for m in response.wsgi_request._messages:
if "Part already exists for manufacturer part 2 in row GhostBuster2000. Uploading of this part skipped." in str(m):
found_error = True
self.assertTrue(found_error)
def test_upload_part_classes(self):
self.client.login(username='kasper', password='ghostpassword')
# Should pass
with open('bom/test_files/test_part_classes.csv') as test_csv:
response = self.client.post(reverse('bom:settings'), {'file': test_csv, 'submit-part-class-upload': ''})
self.assertEqual(response.status_code, 200)
new_part_class_count = PartClass.objects.all().count()
self.assertEqual(new_part_class_count, 37)
def test_add_sellerpart(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.get(reverse('bom:manufacturer-part-add-sellerpart',
kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}))
self.assertEqual(response.status_code, 200)
response = self.client.post(reverse('bom:manufacturer-part-add-sellerpart',
kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}))
self.assertEqual(response.status_code, 200)
new_sellerpart_form_data = {
'seller': p1.optimal_seller().seller.id,
'minimum_order_quantity': 1000,
'minimum_pack_quantity': 500,
'unit_cost': '1.23',
'lead_time_days': 25,
'nre_cost': 2000,
'ncnr': False,
}
response = self.client.post(reverse('bom:manufacturer-part-add-sellerpart',
kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}),
new_sellerpart_form_data)
self.assertEqual(response.status_code, 302)
self.assertTrue('/part/' in response.url)
def test_sellerpart_edit(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
edit_sellerpart_form_data = {
'new_seller': 'bom',
'minimum_order_quantity': 100,
'minimum_pack_quantity': 200,
'unit_cost': '1.2',
'lead_time_days': 5,
'nre_cost': 1000,
'ncnr': True,
}
response = self.client.post(reverse('bom:sellerpart-edit', kwargs={'sellerpart_id': p1.optimal_seller().id}),
edit_sellerpart_form_data)
self.assertEqual(response.status_code, 302)
def test_sellerpart_delete(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(reverse('bom:sellerpart-delete', kwargs={'sellerpart_id': p1.optimal_seller().id}))
self.assertEqual(response.status_code, 302)
def test_add_manufacturer_part(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
# Test GET
response = self.client.get(reverse('bom:part-add-manufacturer-part', kwargs={'part_id': p1.id}))
# Test POSTs
mfg_form_data = {'name': p1.primary_manufacturer_part.manufacturer.name,
'manufacturer_part_number': p1.primary_manufacturer_part.manufacturer_part_number,
'part': p2.id}
response = self.client.post(reverse('bom:part-add-manufacturer-part', kwargs={'part_id': p1.id}), mfg_form_data)
self.assertEqual(response.status_code, 302)
mfg_form_data = {'name': "A new mfg name",
'manufacturer_part_number': "a new pn",
'part': p2.id}
response = self.client.post(reverse('bom:part-add-manufacturer-part', kwargs={'part_id': p1.id}), mfg_form_data)
self.assertEqual(response.status_code, 302)
def test_manufacturer_part_edit(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(
reverse('bom:manufacturer-part-edit', kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}))
self.assertEqual(response.status_code, 200)
data = {
'manufacturer_part_number': 'ABC123',
'manufacturer': p1.primary_manufacturer_part.manufacturer.id,
'name': '',
}
response = self.client.post(reverse('bom:manufacturer-part-edit', kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}), data)
self.assertEqual(response.status_code, 302)
data = {
'manufacturer_part_number': 'ABC123',
'manufacturer': p1.primary_manufacturer_part.manufacturer.id,
'name': 'A new manufacturer',
}
old_id = p1.primary_manufacturer_part.manufacturer.id
response = self.client.post(reverse('bom:manufacturer-part-edit', kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}), data)
self.assertEqual(response.status_code, 302)
p1.refresh_from_db()
self.assertNotEqual(p1.primary_manufacturer_part.manufacturer.id, old_id)
data = {
'manufacturer_part_number': 'ABC123',
'manufacturer': '',
'name': '',
}
response = self.client.post(
reverse('bom:manufacturer-part-edit', kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}),
data)
self.assertEqual(response.status_code, 200) # 200 means it failed validation
def test_manufacturer_part_delete(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(
reverse('bom:manufacturer-part-delete', kwargs={'manufacturer_part_id': p1.primary_manufacturer_part.id}))
self.assertEqual(response.status_code, 302)
def test_part_revision_release(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.get(
reverse('bom:part-revision-release', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 200)
response = self.client.post(
reverse('bom:part-revision-release', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 302)
def test_part_revision_revert(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.get(
reverse('bom:part-revision-revert', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 302)
def test_part_revision_new(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.get(reverse('bom:part-revision-new', kwargs={'part_id': p1.id}))
self.assertEqual(response.status_code, 200)
# Create new part revision from part without an existing part revision
response = self.client.get(reverse('bom:part-revision-new', kwargs={'part_id': p4.id}))
self.assertEqual(response.status_code, 200)
new_part_revision_form_data = {
'description': 'new rev',
'revision': '4',
'attribute': 'resistance',
'value': '10k',
'part': p1.id,
'configuration': 'W',
'copy_assembly': 'False'
}
response = self.client.post(
reverse('bom:part-revision-new', kwargs={'part_id': p1.id}), new_part_revision_form_data)
self.assertEqual(response.status_code, 302)
# Create new part revision, copy over the assembly, increment revision, then make sure the old revision
# didn't change
new_part_revision_form_data = {
'description': 'new rev',
'revision': '5',
'part': p3.id,
'configuration': 'W',
'copy_assembly': 'true'
}
response = self.client.post(
reverse('bom:part-revision-new', kwargs={'part_id': p3.id}), new_part_revision_form_data)
revs = p3.revisions().order_by('-id')
latest = revs[0]
previous = revs[1]
previous_subpart_ids = previous.assembly.subparts.all().values_list('id', flat=True)
new_subpart_ids = latest.assembly.subparts.all().values_list('id', flat=True)
self.assertEqual(response.status_code, 302)
self.assertNotEqual([], new_subpart_ids)
for nsid in new_subpart_ids:
self.assertNotIn(nsid, previous_subpart_ids)
def test_part_revision_edit(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.get(
reverse('bom:part-revision-edit', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 200)
edit_part_revision_form_data = {
'description': 'new rev',
'revision': '4',
'attribute': 'resistance',
'value': '10k',
'part': p1.id
}
response = self.client.post(
reverse('bom:part-revision-edit', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id}),
edit_part_revision_form_data)
self.assertEqual(response.status_code, 302)
def test_part_revision_delete(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
response = self.client.post(
reverse('bom:part-revision-delete', kwargs={'part_id': p1.id, 'part_revision_id': p1.latest().id}))
self.assertEqual(response.status_code, 302)
class TestForms(TestCase):
def setUp(self):
self.client = Client()
self.user = User.objects.create_user(
'kasper', 'kasper@McFadden.com', 'ghostpassword')
self.organization = create_a_fake_organization(self.user)
self.profile = self.user.bom_profile(organization=self.organization)
def test_part_info_form(self):
form_data = {'quantity': 10}
form = PartInfoForm(data=form_data)
self.assertTrue(form.is_valid())
def test_part_info_form_blank(self):
form = PartInfoForm({})
self.assertFalse(form.is_valid())
self.assertEqual(form.errors, {
'quantity': [u'This field is required.'],
})
def test_part_form(self):
(pc1, pc2, pc3) = create_some_fake_part_classes(self.organization)
form_data = {
'number_class': pc1.id,
'description': "ASSY, ATLAS WRISTBAND 10",
'revision': 'AA'
}
form = PartForm(data=form_data, organization=self.organization)
self.assertTrue(form.is_valid())
(m1, m2, m3) = create_some_fake_manufacturers(self.organization)
form_data = {
'number_class': pc2.id,
'description': "ASSY, ATLAS WRISTBAND 5",
'revision': '1',
}
form = PartForm(data=form_data, organization=self.organization)
self.assertTrue(form.is_valid())
new_part, created = Part.objects.get_or_create(
number_class=form.cleaned_data['number_class'],
number_item=form.cleaned_data['number_item'],
number_variation=form.cleaned_data['number_variation'],
organization=self.organization)
self.assertTrue(created)
self.assertEqual(new_part.number_class.id, pc2.id)
def test_part_form_blank(self):
(pc1, pc2, pc3) = create_some_fake_part_classes(self.organization)
form = PartForm(data={}, organization=self.organization)
self.assertFalse(form.is_valid())
self.assertEqual(form.errors, {
'number_class': [u'This field is required.'],
})
def test_add_subpart_form(self):
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
form_data = {'subpart_part_number': p1.full_part_number(), 'count': 10, 'reference': '', 'do_not_load': False}
form = AddSubpartForm(organization=self.organization, data=form_data, part_id=p2.id)
self.assertTrue(form.is_valid())
def test_add_subpart_form_blank(self):
form = AddSubpartForm({}, organization=self.organization)
self.assertFalse(form.is_valid())
self.assertTrue('subpart_part_number' in str(form.errors))
self.assertTrue('This field is required.' in str(form.errors))
def test_add_sellerpart_form(self):
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
form = AddSellerPartForm()
self.assertFalse(form.is_valid())
seller = Seller.objects.filter(organization=self.organization)[0]
form_data = {
'seller': seller.id,
'minimum_order_quantity': 1000,
'minimum_pack_quantity': 100,
'unit_cost': 1.2332,
'lead_time_days': 14,
'nre_cost': 1000,
'ncnr': True,
}
form = AddSellerPartForm(organization=self.organization, data=form_data)
self.assertTrue(form.is_valid())
class TestJsonViews(TestCase):
def setUp(self):
self.client = Client()
self.user = User.objects.create_user(
'kasper', 'kasper@McFadden.com', 'ghostpassword')
self.organization = create_a_fake_organization(self.user)
self.profile = self.user.bom_profile(organization=self.organization)
def test_mouser_part_match_bom(self):
self.client.login(username='kasper', password='ghostpassword')
(p1, p2, p3, p4) = create_some_fake_parts(organization=self.organization)
self.assertGreaterEqual(len(p3.latest().assembly.subparts.all()), 1)
response = self.client.get(
reverse('json:mouser-part-match-bom', kwargs={'part_revision_id': p3.latest().id}))
self.assertEqual(response.status_code, 200)
| 42.209497 | 150 | 0.641122 | 3,626 | 30,222 | 5.12824 | 0.084391 | 0.048938 | 0.05808 | 0.092014 | 0.824308 | 0.792525 | 0.766496 | 0.72299 | 0.692122 | 0.672762 | 0 | 0.02467 | 0.23013 | 30,222 | 715 | 151 | 42.268531 | 0.77453 | 0.031236 | 0 | 0.576336 | 0 | 0 | 0.173173 | 0.045498 | 0 | 0 | 0 | 0.001399 | 0.187023 | 1 | 0.072519 | false | 0.05916 | 0.015267 | 0 | 0.093511 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
23674bd4025214371fb1b5bf1ddc91cb4cc882e0 | 6,381 | py | Python | deepchem/utils/sequence_utils.py | saithat/deepchem | 0267a69933d7861e2fbce0d2b6e43a25c863684f | [
"MIT"
] | null | null | null | deepchem/utils/sequence_utils.py | saithat/deepchem | 0267a69933d7861e2fbce0d2b6e43a25c863684f | [
"MIT"
] | null | null | null | deepchem/utils/sequence_utils.py | saithat/deepchem | 0267a69933d7861e2fbce0d2b6e43a25c863684f | [
"MIT"
] | null | null | null | from logging import raiseExceptions
import os
import subprocess
def system_call(command):
""" Wrapper for system command call """
p = subprocess.Popen([command], stdout=subprocess.PIPE, shell=True)
return p.stdout.read()
def hhblits(dataset_path,
database=None,
data_dir=None,
evalue=0.001,
num_iterations=2,
num_threads=4):
"""
Run hhblits multisequence alignment search on a dataset. This function
requires the hhblits binary to be installed and in the path. This function
also requires a Hidden Markov Model reference database to be provided. Both can be
found here: https://github.com/soedinglab/hh-suite
The database should be in the deepchem data directory or specified as an argument.
To set the deepchem data directory, run this command in your environment:
export DEEPCHEM_DATA_DIR=<path to data directory>
Parameters
----------
dataset_path: str
Path to single sequence or multiple sequence alignment (MSA) dataset. Results will be saved in this directory.
database: str
Name of database to search against. Note this is not the path, but the name of the database.
data_dir: str
Path to database directory.
evalue: float
E-value cutoff.
num_iterations: int
Number of iterations.
num_threads: int
Number of threads.
Returns
-------
results: .a3m file
MSA file containing the results of the hhblits search.
results: .hhr file
hhsuite results file containing the results of the hhblits search.
Examples
--------
>>> from deepchem.utils.sequence_utils import hhblits
>>> msa_path = hhblits('test/data/example.fasta', database='example_db', data_dir='test/data/', evalue=0.001, num_iterations=2, num_threads=4)
"""
if data_dir is None:
data_dir = os.environ['DEEPCHEM_DATA_DIR']
if len(data_dir) == 0:
raiseExceptions(
'hhblits requires a database. Please follow the instructions here \
to download a database: https://github.com/soedinglab/hh-suite/wiki#hh-suite-databases'
)
_, dataset_file_type = os.path.splitext(dataset_path)
save_dir = os.path.dirname(os.path.realpath(dataset_path))
if dataset_file_type == '.fas' or '.fasta':
command = 'hhsearch ' + \
' -i ' + os.path.abspath(dataset_path) + \
' -d ' + os.path.join(data_dir, database) + \
' -oa3m ' + os.path.join(save_dir, 'results.a3m') + \
' -cpu ' + str(num_threads) + \
' -n ' + str(num_iterations) + \
' -e ' + str(evalue) + \
' -M first'
if dataset_file_type == '.a3m' or '.a2m' or '.hmm':
command = 'hhsearch ' + \
' -i ' + os.path.abspath(dataset_path) + \
' -d ' + os.path.join(data_dir, database) + \
' -oa3m ' + os.path.join(save_dir, 'results.a3m') + \
' -cpu ' + str(num_threads) + \
' -n ' + str(num_iterations) + \
' -e ' + str(evalue)
else:
raiseExceptions('Unsupported file type')
system_call(command)
msa_path = os.path.join(save_dir, 'results.a3m')
return msa_path
def hhsearch(dataset_path,
database=None,
data_dir=None,
evalue=0.001,
num_iterations=2,
num_threads=4):
"""
Run hhsearch multisequence alignment search on a dataset. This function
requires the hhblits binary to be installed and in the path. This function
also requires a Hidden Markov Model reference database to be provided. Both can be
found here: https://github.com/soedinglab/hh-suite
The database should be in the deepchem data directory or specified as an argument.
To set the deepchem data directory, run this command in your environment:
export DEEPCHEM_DATA_DIR=<path to data directory>
Examples
--------
>>> from deepchem.utils.sequence_utils import hhsearch
>>> msa_path = hhsearch('test/data/example.fasta', database='example_db', data_dir='test/data/', evalue=0.001, num_iterations=2, num_threads=4)
Parameters
----------
dataset_path: str
Path to multiple sequence alignment dataset. Results will be saved in this directory.
database: str
Name of database to search against. Note this is not the path, but the name of the database.
data_dir: str
Path to database directory.
evalue: float
E-value cutoff.
num_iterations: int
Number of iterations.
num_threads: int
Number of threads.
Returns
-------
results: .a3m file
MSA file containing the results of the hhblits search.
results: .hhr file
hhsuite results file containing the results of the hhblits search.
"""
if data_dir is None:
data_dir = os.environ['DEEPCHEM_DATA_DIR']
if len(data_dir) == 0:
raiseExceptions(
'hhsearch requires a database. Please follow the instructions here \
to download a database: https://github.com/soedinglab/hh-suite/wiki#hh-suite-databases'
)
_, dataset_file_type = os.path.splitext(dataset_path)
save_dir = os.path.dirname(os.path.abspath(dataset_path))
if dataset_file_type == '.fas' or '.fasta':
command = 'hhsearch ' + \
' -i ' + os.path.abspath(dataset_path) + \
' -d ' + os.path.join(data_dir, database) + \
' -oa3m ' + os.path.join(save_dir, 'results.a3m') + \
' -cpu ' + str(num_threads) + \
' -e ' + str(evalue) + \
' -M first'
if dataset_file_type == '.a3m' or '.a2m' or '.hmm':
command = 'hhsearch ' + \
' -i ' + os.path.abspath(dataset_path) + \
' -d ' + os.path.join(data_dir, database) + \
' -oa3m ' + os.path.join(save_dir, 'results.a3m') + \
' -cpu ' + str(num_threads) + \
' -e ' + str(evalue)
else:
raiseExceptions('Unsupported file type')
system_call(command)
msa_path = os.path.join(save_dir, 'results.a3m')
return msa_path
def MSA_to_dataset(msa_path):
"""
Convert a multiple sequence alignment to a NumpyDataset object.
"""
from deepchem.data.datasets import NumpyDataset # NumpyDataset depends on utils, so imported here to prevent circular import
from Bio import SeqIO
with open(msa_path, 'r') as f:
ids = []
sequences = []
for record in SeqIO.parse(f, 'fasta'):
ids.append(record.id)
seq = []
for res in record:
seq.append(res)
sequences.append(seq)
dataset = NumpyDataset(X=sequences, ids=ids)
return dataset
| 32.065327 | 145 | 0.658361 | 861 | 6,381 | 4.771196 | 0.192799 | 0.03408 | 0.024343 | 0.020448 | 0.827897 | 0.826193 | 0.811587 | 0.790166 | 0.790166 | 0.790166 | 0 | 0.008537 | 0.228961 | 6,381 | 198 | 146 | 32.227273 | 0.826423 | 0.433161 | 0 | 0.695652 | 0 | 0.021739 | 0.10246 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.054348 | 0 | 0.141304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
2374d19438124e3c65d8162f25192ff4f5e894fb | 3,854 | py | Python | saleor/graphql/giftcard/tests/mutations/test_gift_card_bulk_deactivate.py | fairhopeweb/saleor | 9ac6c22652d46ba65a5b894da5f1ba5bec48c019 | [
"CC-BY-4.0"
] | 15,337 | 2015-01-12T02:11:52.000Z | 2021-10-05T19:19:29.000Z | saleor/graphql/giftcard/tests/mutations/test_gift_card_bulk_deactivate.py | fairhopeweb/saleor | 9ac6c22652d46ba65a5b894da5f1ba5bec48c019 | [
"CC-BY-4.0"
] | 7,486 | 2015-02-11T10:52:13.000Z | 2021-10-06T09:37:15.000Z | saleor/graphql/giftcard/tests/mutations/test_gift_card_bulk_deactivate.py | fairhopeweb/saleor | 9ac6c22652d46ba65a5b894da5f1ba5bec48c019 | [
"CC-BY-4.0"
] | 5,864 | 2015-01-16T14:52:54.000Z | 2021-10-05T23:01:15.000Z | import graphene
from .....giftcard import GiftCardEvents
from .....giftcard.models import GiftCard, GiftCardEvent
from ....tests.utils import assert_no_permission, get_graphql_content
MUTATION_GIFT_CARD_BULK_DEACTIVATE = """
mutation GiftCardBulkDeactivate($ids: [ID]!) {
giftCardBulkDeactivate(ids: $ids) {
count
errors {
code
field
}
}
}
"""
def test_gift_card_bulk_deactivate_by_staff(
staff_api_client,
gift_card,
gift_card_expiry_date,
permission_manage_gift_card,
):
# given
gift_cards = [gift_card, gift_card_expiry_date]
ids = [graphene.Node.to_global_id("GiftCard", card.pk) for card in gift_cards]
variables = {"ids": ids}
# when
response = staff_api_client.post_graphql(
MUTATION_GIFT_CARD_BULK_DEACTIVATE,
variables,
permissions=(permission_manage_gift_card,),
)
# then
content = get_graphql_content(response)
data = content["data"]["giftCardBulkDeactivate"]
assert (
GiftCard.objects.filter(
id__in=[card.id for card in gift_cards], is_active=False
).count()
== 2
)
assert data["count"] == len(ids)
events = GiftCardEvent.objects.all()
assert events.count() == 2
assert {event.gift_card_id for event in events} == {
gift_card.id,
gift_card_expiry_date.id,
}
assert {event.type for event in events} == {GiftCardEvents.DEACTIVATED}
def test_gift_card_bulk_deactivate_by_app(
app_api_client,
gift_card,
gift_card_expiry_date,
permission_manage_gift_card,
):
# given
gift_cards = [gift_card, gift_card_expiry_date]
ids = [graphene.Node.to_global_id("GiftCard", card.pk) for card in gift_cards]
variables = {"ids": ids}
# when
response = app_api_client.post_graphql(
MUTATION_GIFT_CARD_BULK_DEACTIVATE,
variables,
permissions=(permission_manage_gift_card,),
)
# then
content = get_graphql_content(response)
data = content["data"]["giftCardBulkDeactivate"]
assert (
GiftCard.objects.filter(
id__in=[card.id for card in gift_cards], is_active=False
).count()
== 2
)
assert data["count"] == len(ids)
events = GiftCardEvent.objects.all()
assert events.count() == len(ids)
assert {event.gift_card_id for event in events} == {card.id for card in gift_cards}
assert {event.type for event in events} == {GiftCardEvents.DEACTIVATED}
def test_gift_card_bulk_deactivate_all_cards_already_inactive(
staff_api_client,
gift_card,
gift_card_expiry_date,
permission_manage_gift_card,
):
# given
gift_cards = [gift_card, gift_card_expiry_date]
for card in gift_cards:
card.is_active = False
GiftCard.objects.bulk_update(gift_cards, ["is_active"])
ids = [graphene.Node.to_global_id("GiftCard", card.pk) for card in gift_cards]
variables = {"ids": ids}
# when
response = staff_api_client.post_graphql(
MUTATION_GIFT_CARD_BULK_DEACTIVATE,
variables,
permissions=(permission_manage_gift_card,),
)
# then
content = get_graphql_content(response)
data = content["data"]["giftCardBulkDeactivate"]
assert data["count"] == len(ids)
events = GiftCardEvent.objects.all()
assert events.count() == 0
def test_gift_card_bulk_deactivate_by_customer(
api_client, gift_card, gift_card_expiry_date
):
# given
gift_cards = [gift_card, gift_card_expiry_date]
ids = [graphene.Node.to_global_id("GiftCard", card.pk) for card in gift_cards]
variables = {"ids": ids}
# when
response = api_client.post_graphql(
MUTATION_GIFT_CARD_BULK_DEACTIVATE,
variables,
)
# then
assert_no_permission(response)
| 26.57931 | 87 | 0.669953 | 468 | 3,854 | 5.166667 | 0.147436 | 0.115798 | 0.044665 | 0.081886 | 0.83416 | 0.814309 | 0.814309 | 0.777916 | 0.763441 | 0.732837 | 0 | 0.001351 | 0.231967 | 3,854 | 144 | 88 | 26.763889 | 0.815541 | 0.016347 | 0 | 0.609524 | 0 | 0 | 0.0937 | 0.032028 | 0 | 0 | 0 | 0 | 0.133333 | 1 | 0.038095 | false | 0 | 0.038095 | 0 | 0.07619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
2376ba57256e944f24deb2408099e55f2ae11472 | 110 | py | Python | demodocusfw/web/controller/__init__.py | dchud/demodocus | e37040af521bc56a61fea6327fae111268b81497 | [
"Apache-2.0"
] | 7 | 2020-11-17T15:02:32.000Z | 2022-02-18T23:53:23.000Z | demodocusfw/web/controller/__init__.py | dchud/demodocus | e37040af521bc56a61fea6327fae111268b81497 | [
"Apache-2.0"
] | 20 | 2020-11-02T13:40:40.000Z | 2020-11-30T14:09:01.000Z | demodocusfw/web/controller/__init__.py | dchud/demodocus | e37040af521bc56a61fea6327fae111268b81497 | [
"Apache-2.0"
] | 4 | 2020-11-02T18:48:24.000Z | 2020-11-20T18:31:29.000Z | from .controller_reduced import ControllerReduced
from .multicontroller_reduced import MultiControllerReduced
| 36.666667 | 59 | 0.909091 | 10 | 110 | 9.8 | 0.7 | 0.265306 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072727 | 110 | 2 | 60 | 55 | 0.960784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
88da21a57509fa4b615d5fb7d477d5942639aa5f | 35 | py | Python | config/__init__.py | ryuji0123/statistics_demo | c0b13ea73b351bdff24c492696e53f9eed04dba6 | [
"MIT"
] | null | null | null | config/__init__.py | ryuji0123/statistics_demo | c0b13ea73b351bdff24c492696e53f9eed04dba6 | [
"MIT"
] | 2 | 2021-03-22T11:30:59.000Z | 2021-10-16T00:58:19.000Z | config/__init__.py | ryuji0123/statistics_demo | c0b13ea73b351bdff24c492696e53f9eed04dba6 | [
"MIT"
] | 1 | 2021-05-09T03:12:26.000Z | 2021-05-09T03:12:26.000Z | from config.const import FIGS_ROOT
| 17.5 | 34 | 0.857143 | 6 | 35 | 4.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 35 | 1 | 35 | 35 | 0.935484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
88e6b0871745c58132437fd580eb4b87df49080f | 230 | py | Python | app/core/__init__.py | vralex/RumbleRunner | eb9889daf90846176af292d4e7411c41dac885c8 | [
"MIT"
] | 2 | 2022-01-26T15:06:02.000Z | 2022-02-03T05:14:52.000Z | app/core/__init__.py | vralex/RumbleRunner | eb9889daf90846176af292d4e7411c41dac885c8 | [
"MIT"
] | 1 | 2022-02-07T23:50:26.000Z | 2022-02-07T23:50:26.000Z | app/core/__init__.py | vralex/RumbleRunner | eb9889daf90846176af292d4e7411c41dac885c8 | [
"MIT"
] | 1 | 2022-02-07T23:19:16.000Z | 2022-02-07T23:19:16.000Z | from app.core.game_ranking import GameRankingHelpers
from app.core.game_session import GameSessionHelpers
from app.core.player import PlayerHelpers
from app.core.trueskill import TrueSkillMatchup, TrueSkillClient, TrueSkillParams
| 46 | 81 | 0.878261 | 28 | 230 | 7.142857 | 0.535714 | 0.14 | 0.22 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078261 | 230 | 4 | 82 | 57.5 | 0.943396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
88f7c6d1a9a7337ff59e4361e706f1eec619931a | 26 | py | Python | randomstate/prng/xorshift128/__init__.py | bashtage/ng-numpy-randomstate | b397db9cb8688b291fc40071ab043009dfa05a85 | [
"Apache-2.0",
"BSD-3-Clause"
] | 43 | 2016-02-11T03:38:16.000Z | 2022-02-03T10:00:15.000Z | randomstate/prng/xorshift128/__init__.py | bashtage/pcg-python | b397db9cb8688b291fc40071ab043009dfa05a85 | [
"Apache-2.0",
"BSD-3-Clause"
] | 31 | 2015-12-26T19:47:36.000Z | 2018-12-10T15:55:46.000Z | randomstate/prng/xorshift128/__init__.py | bashtage/ng-numpy-randomstate | b397db9cb8688b291fc40071ab043009dfa05a85 | [
"Apache-2.0",
"BSD-3-Clause"
] | 11 | 2016-04-28T02:00:38.000Z | 2020-08-07T10:33:10.000Z | from .xorshift128 import * | 26 | 26 | 0.807692 | 3 | 26 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 0.115385 | 26 | 1 | 26 | 26 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0013a4310991cf32d4cfcfd8f1d67c292d52dcd8 | 48 | py | Python | deepnodal/python/devices/__init__.py | Bhumbra/DeepNodal | 33afb2efa5e78ae6558ce60a36bb87c186c1f448 | [
"BSD-3-Clause"
] | 1 | 2019-01-06T09:49:42.000Z | 2019-01-06T09:49:42.000Z | deepnodal/python/devices/__init__.py | Bhumbra/DeepNodal | 33afb2efa5e78ae6558ce60a36bb87c186c1f448 | [
"BSD-3-Clause"
] | 3 | 2020-10-14T14:43:33.000Z | 2022-02-09T23:46:40.000Z | deepnodal/python/devices/__init__.py | Bhumbra/DeepNodal | 33afb2efa5e78ae6558ce60a36bb87c186c1f448 | [
"BSD-3-Clause"
] | null | null | null | from deepnodal.python.devices.gputemps import *
| 24 | 47 | 0.833333 | 6 | 48 | 6.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 48 | 1 | 48 | 48 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0015ed4dafbf60d0c3f3059ef5cf5b70e2b3027f | 32 | py | Python | examples/math.sinh/ex1.py | mcorne/python-by-example | 15339c0909c84b51075587a6a66391100971c033 | [
"MIT"
] | null | null | null | examples/math.sinh/ex1.py | mcorne/python-by-example | 15339c0909c84b51075587a6a66391100971c033 | [
"MIT"
] | null | null | null | examples/math.sinh/ex1.py | mcorne/python-by-example | 15339c0909c84b51075587a6a66391100971c033 | [
"MIT"
] | null | null | null | import math
print(math.sinh(1))
| 10.666667 | 19 | 0.75 | 6 | 32 | 4 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.09375 | 32 | 2 | 20 | 16 | 0.793103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 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 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
001d025cd6a4dfb43f764cfe19e15a85a4a6ddb5 | 23 | py | Python | pyreutil/__init__.py | michsun/pyreutil | 34e6e9edd77c723a2f40efce37ad38b812c08e9f | [
"MIT"
] | null | null | null | pyreutil/__init__.py | michsun/pyreutil | 34e6e9edd77c723a2f40efce37ad38b812c08e9f | [
"MIT"
] | null | null | null | pyreutil/__init__.py | michsun/pyreutil | 34e6e9edd77c723a2f40efce37ad38b812c08e9f | [
"MIT"
] | null | null | null | from .pyreutil import * | 23 | 23 | 0.782609 | 3 | 23 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 23 | 1 | 23 | 23 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0047acfc744233a853e2269d36139ec2769c8b97 | 44 | py | Python | test.py | panandicoding/audioeventclassification | d28f826ec149a61a5670243961399d48a7b03381 | [
"Apache-2.0"
] | null | null | null | test.py | panandicoding/audioeventclassification | d28f826ec149a61a5670243961399d48a7b03381 | [
"Apache-2.0"
] | null | null | null | test.py | panandicoding/audioeventclassification | d28f826ec149a61a5670243961399d48a7b03381 | [
"Apache-2.0"
] | null | null | null | import numpy
import scipy
import sklearn
| 11 | 15 | 0.795455 | 6 | 44 | 5.833333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.204545 | 44 | 3 | 16 | 14.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
cc943b82c9ee2094e53024c9dcd996275ee5d385 | 49 | py | Python | python/test-data/testWrongKeywordArg.py | Panteon32Om/write-your-python-program | 615b73113466c1c8f901fad0a076b480f62ad437 | [
"BSD-3-Clause"
] | null | null | null | python/test-data/testWrongKeywordArg.py | Panteon32Om/write-your-python-program | 615b73113466c1c8f901fad0a076b480f62ad437 | [
"BSD-3-Clause"
] | null | null | null | python/test-data/testWrongKeywordArg.py | Panteon32Om/write-your-python-program | 615b73113466c1c8f901fad0a076b480f62ad437 | [
"BSD-3-Clause"
] | null | null | null | def foo(kw: int) -> int:
return kw
foo(x=4)
| 9.8 | 24 | 0.55102 | 10 | 49 | 2.7 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.265306 | 49 | 4 | 25 | 12.25 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 0.666667 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
aef95dd5abb8a50cd61d3d361e7fed2ceedab4b8 | 5,946 | py | Python | nuggetbot/decorators.py | LimeProgramming/NuggetBot4.0 | 05fdb8db35d158c25be87d1403814b6ada9549cc | [
"MIT"
] | null | null | null | nuggetbot/decorators.py | LimeProgramming/NuggetBot4.0 | 05fdb8db35d158c25be87d1403814b6ada9549cc | [
"MIT"
] | null | null | null | nuggetbot/decorators.py | LimeProgramming/NuggetBot4.0 | 05fdb8db35d158c25be87d1403814b6ada9549cc | [
"MIT"
] | null | null | null | """
----~~~~~ NuggetBot ~~~~~----
Written By Calamity Lime#8500
Disclaimer
-----------
NuggetBots source code as been shared for the purposes of transparency on the FurSail discord server and educational purposes.
Running your own instance of this bot is not recommended.
FurSail Invite URL: http://discord.gg/QMEgfcg
Kind Regards
-Lime
"""
import re
import logging
from functools import wraps
#from discord.ext.commands.bot import _get_variable
from .config import Config
from .utils import Response, _get_variable
config = Config()
log = logging.getLogger('discord')
#Msg must be in specified channel or command be posted by staff or user with admin perm
def in_channel(channel_ids):
def inner(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (og_msg.channel.id in channel_ids)
or (any(role.id in config.roles["any_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return
return wrapper
return inner
#Msg must be in specified channel or command be posted by staff or user with admin perm
def in_channel_name(channel_names):
def inner(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (og_msg.channel.name in channel_names)
or (any(role.id in config.roles["any_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return
return wrapper
return inner
#Msg must be in reception_channel (setup.ini) or command be posted by staff or user with admin perm
def in_reception(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (og_msg.channel.id == config.channels["reception_id"])
or (any(role.id in config.roles["any_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return
return wrapper
#if user has core_role or user with admin perm
def is_core(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (any(role.id in config.roles["user_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return await _responce_generator(self, content="`You do not have the permission to run this command.`", reply=True)
return wrapper
#MSG author must have a certain role or user with admin perm
def has_role(role_name):
def inner(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (any(role.name in role_name for role in og_msg.author.roles))
or (any(role.id in config.roles["any_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return await _responce_generator(self, content="`You do not have the permission to run this command.`", reply=True)
return wrapper
return inner
##Staff role decor | Bastion or Minister or user with admin perm
def is_high_staff(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (any(role.id in config.roles["high_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return await _responce_generator(self, content="`You lack the permissions to run this command.`")
return wrapper
##Staff role decor | Support orBastion or Minister or user with admin perm
def is_any_staff(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (any(role.id in config.roles["any_staff"] for role in og_msg.author.roles))
or (og_msg.author.guild_permissions.administrator)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return await _responce_generator(self, content="`You lack the permissions to run this command.`")
return wrapper
### Disables a bot command
def turned_off(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
return
return wrapper
###Bot owner only commands
def owner_only(func):
@wraps(func)
async def wrapper(self, *args, **kwargs):
og_msg = _get_variable('message')
if ((not og_msg)
or (og_msg.author.id == config.owner_id)):
return await func(self, msg=og_msg)
else:
return await _responce_generator(self, content="`You are not the bot owner.`")
return wrapper
async def _responce_generator(self, content="", embed=None, reply=True, delete_after=None):
return Response(content=content, embed=embed, reply=reply, delete_after=delete_after)
| 30.80829 | 131 | 0.644803 | 836 | 5,946 | 4.433014 | 0.155502 | 0.067458 | 0.068268 | 0.052617 | 0.745548 | 0.745548 | 0.745548 | 0.730977 | 0.724231 | 0.694549 | 0 | 0.000901 | 0.252943 | 5,946 | 192 | 132 | 30.96875 | 0.833408 | 0.158258 | 0 | 0.788136 | 0 | 0 | 0.073866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101695 | false | 0 | 0.042373 | 0 | 0.364407 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4e3f83677cba8d74c13f7aa1814c30c63e092b06 | 207 | py | Python | geoconvert/deptfr.py | yolocodefrench/geoconvert | 1697f80e8ea634beb11a25a846151009400f7cac | [
"MIT"
] | null | null | null | geoconvert/deptfr.py | yolocodefrench/geoconvert | 1697f80e8ea634beb11a25a846151009400f7cac | [
"MIT"
] | null | null | null | geoconvert/deptfr.py | yolocodefrench/geoconvert | 1697f80e8ea634beb11a25a846151009400f7cac | [
"MIT"
] | null | null | null | # -*- coding: utf8 -*-
# Kept for compabitilities
from .convert import zipcode_to_dept_name as cp2dept
from .convert import address_to_zipcode as adr2cp
from .convert import dept_name_to_zipcode as dept2cp
| 29.571429 | 52 | 0.806763 | 31 | 207 | 5.129032 | 0.548387 | 0.207547 | 0.320755 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022346 | 0.135266 | 207 | 6 | 53 | 34.5 | 0.865922 | 0.217391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
9db47943d1d3f9d00256c0e04b32406c3bce5b40 | 186 | py | Python | cpu/hooks/__init__.py | serend1p1ty/core-pytorch-utils | 626e4ec586656788204656779a80f374f888256b | [
"MIT"
] | 65 | 2021-09-25T14:52:16.000Z | 2022-03-20T06:17:06.000Z | cpu/hooks/__init__.py | serend1p1ty/core-pytorch-utils | 626e4ec586656788204656779a80f374f888256b | [
"MIT"
] | 1 | 2022-01-05T08:25:51.000Z | 2022-01-05T11:15:14.000Z | cpu/hooks/__init__.py | serend1p1ty/core-pytorch-utils | 626e4ec586656788204656779a80f374f888256b | [
"MIT"
] | 9 | 2021-12-24T02:20:05.000Z | 2022-02-08T11:23:44.000Z | from .checkpoint_hook import CheckpointerHook
from .eval_hook import EvalHook
from .hookbase import HookBase
from .logger_hook import LoggerHook
from .lr_update_hook import LRUpdateHook
| 31 | 45 | 0.865591 | 25 | 186 | 6.24 | 0.52 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107527 | 186 | 5 | 46 | 37.2 | 0.939759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
060edcdfee8b794987ff6118c1bd294ed2ec2b95 | 148 | py | Python | frnz/analytics.py | alfranz/frnz-sample | 2a4227936bb4ecb32c84c9063ffdf8077facceaf | [
"MIT"
] | 1 | 2020-10-09T14:41:35.000Z | 2020-10-09T14:41:35.000Z | frnz/analytics.py | alfranz/frnz-sample | 2a4227936bb4ecb32c84c9063ffdf8077facceaf | [
"MIT"
] | null | null | null | frnz/analytics.py | alfranz/frnz-sample | 2a4227936bb4ecb32c84c9063ffdf8077facceaf | [
"MIT"
] | null | null | null | import pandas as pd
from typing import Dict
def count_missing(dataframe: pd.DataFrame) -> Dict[str, int]:
return dict(dataframe.isna().sum())
| 21.142857 | 61 | 0.72973 | 22 | 148 | 4.863636 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148649 | 148 | 6 | 62 | 24.666667 | 0.849206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0.25 | 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 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
ae42c11cede0f3a7fa84fd759a018971e2966c69 | 35 | py | Python | gerenciador/anuncios/utils/__init__.py | diogo-alves/gerenciador_anuncios | fc62a818d803594ba0c31c755cbb83c165c1488f | [
"MIT"
] | null | null | null | gerenciador/anuncios/utils/__init__.py | diogo-alves/gerenciador_anuncios | fc62a818d803594ba0c31c755cbb83c165c1488f | [
"MIT"
] | null | null | null | gerenciador/anuncios/utils/__init__.py | diogo-alves/gerenciador_anuncios | fc62a818d803594ba0c31c755cbb83c165c1488f | [
"MIT"
] | null | null | null | from .calculadora import * # noqa
| 17.5 | 34 | 0.714286 | 4 | 35 | 6.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 35 | 1 | 35 | 35 | 0.892857 | 0.114286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
887a65e9f2078b2e0c9c88ecba18aa7f68f8faa7 | 200 | py | Python | signalwire/relay/calling/results/detect_result.py | ramarketing/signalwire-python | c0663bdd0454faaa39f42af7c936cea1d43e1842 | [
"MIT"
] | 23 | 2018-12-19T14:48:18.000Z | 2022-01-11T03:58:36.000Z | signalwire/relay/calling/results/detect_result.py | ramarketing/signalwire-python | c0663bdd0454faaa39f42af7c936cea1d43e1842 | [
"MIT"
] | 13 | 2018-10-17T12:57:54.000Z | 2021-09-01T21:46:01.000Z | signalwire/relay/calling/results/detect_result.py | ramarketing/signalwire-python | c0663bdd0454faaa39f42af7c936cea1d43e1842 | [
"MIT"
] | 12 | 2020-01-21T14:29:43.000Z | 2022-01-11T07:48:06.000Z | from . import BaseResult
class DetectResult(BaseResult):
@property
def detect_type(self):
return self.component.detect_type
@property
def result(self):
return self.component.result
| 16.666667 | 37 | 0.745 | 24 | 200 | 6.125 | 0.541667 | 0.14966 | 0.190476 | 0.312925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 200 | 11 | 38 | 18.181818 | 0.890909 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.25 | 0.75 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
887c2b676d2c3bd3c60ce00c1ece9af89223c99e | 45 | py | Python | test.py | zinizio/gxuyw-Introduction-to-Open-Source | 8408a968954bc247e3a320d7a938e210014b2f93 | [
"Apache-2.0"
] | null | null | null | test.py | zinizio/gxuyw-Introduction-to-Open-Source | 8408a968954bc247e3a320d7a938e210014b2f93 | [
"Apache-2.0"
] | null | null | null | test.py | zinizio/gxuyw-Introduction-to-Open-Source | 8408a968954bc247e3a320d7a938e210014b2f93 | [
"Apache-2.0"
] | null | null | null | print ('this is my intro to open source lab') | 45 | 45 | 0.733333 | 9 | 45 | 3.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177778 | 45 | 1 | 45 | 45 | 0.891892 | 0 | 0 | 0 | 0 | 0 | 0.76087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
887fa313da9e16195c656b08e5da3d373a980585 | 110 | py | Python | pyapdl/plot.py | JorgeDeLosSantos/pyapdl | 6a9842808b01121032515d01bdb3d055661b849a | [
"MIT"
] | 16 | 2016-03-31T10:43:27.000Z | 2022-01-14T02:07:17.000Z | pyapdl/plot.py | JorgeDeLosSantos/pyapdl | 6a9842808b01121032515d01bdb3d055661b849a | [
"MIT"
] | null | null | null | pyapdl/plot.py | JorgeDeLosSantos/pyapdl | 6a9842808b01121032515d01bdb3d055661b849a | [
"MIT"
] | 9 | 2017-03-05T18:18:04.000Z | 2022-01-16T10:53:20.000Z | # -*- coding: utf-8 -*-
def numbering_nodes():
return "/PNUM,NODE,1"
if __name__ == '__main__':
pass
| 15.714286 | 26 | 0.590909 | 14 | 110 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022989 | 0.209091 | 110 | 6 | 27 | 18.333333 | 0.62069 | 0.190909 | 0 | 0 | 0 | 0 | 0.229885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0.25 | 0 | 0.25 | 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 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 |
889fe01092fb781500e17e9255309abbf1bb304a | 240 | py | Python | smartlearner/interfaces/__init__.py | havaeimo/smartlearner | 9fa0d4e757310b185e5c0d2ff43279d21ab4cb17 | [
"BSD-3-Clause"
] | null | null | null | smartlearner/interfaces/__init__.py | havaeimo/smartlearner | 9fa0d4e757310b185e5c0d2ff43279d21ab4cb17 | [
"BSD-3-Clause"
] | null | null | null | smartlearner/interfaces/__init__.py | havaeimo/smartlearner | 9fa0d4e757310b185e5c0d2ff43279d21ab4cb17 | [
"BSD-3-Clause"
] | null | null | null | from .batch_scheduler import BatchScheduler
from .dataset import Dataset
from .model import Model
from .loss import Loss
from .task import Task
from .direction_modifier import DirectionModifier
from .direction_modifier import ParamModifier
| 30 | 49 | 0.854167 | 31 | 240 | 6.516129 | 0.419355 | 0.128713 | 0.207921 | 0.267327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116667 | 240 | 7 | 50 | 34.285714 | 0.95283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
88ac9af76a8bb6d4e46e7dfcdb9d71739fb01c62 | 70 | py | Python | 06_Python_API/Code/api_keys.py | contactgokul/Bootcamps | 40b3f70e1ab76d51f4934a91d43e45b0f2d0275f | [
"MIT"
] | null | null | null | 06_Python_API/Code/api_keys.py | contactgokul/Bootcamps | 40b3f70e1ab76d51f4934a91d43e45b0f2d0275f | [
"MIT"
] | null | null | null | 06_Python_API/Code/api_keys.py | contactgokul/Bootcamps | 40b3f70e1ab76d51f4934a91d43e45b0f2d0275f | [
"MIT"
] | null | null | null | # OpenWeatherMap API Key
api_key = "9e7d5f00f272daba023775397adcb79c"
| 23.333333 | 44 | 0.842857 | 6 | 70 | 9.666667 | 0.666667 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.301587 | 0.1 | 70 | 2 | 45 | 35 | 0.619048 | 0.314286 | 0 | 0 | 0 | 0 | 0.695652 | 0.695652 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
88b7a8a5127fd46f4188cb90182042928ff767a2 | 30 | py | Python | lib/net/__init__.py | yaopengUSTC/mbit-skin-cancer | a82a87b2abebaf724dbe2a7b7e833c434c1b56a0 | [
"MIT"
] | 3 | 2022-01-23T05:27:43.000Z | 2022-03-08T07:29:25.000Z | lib/net/__init__.py | yaopengUSTC/mbit-skin-cancer | a82a87b2abebaf724dbe2a7b7e833c434c1b56a0 | [
"MIT"
] | null | null | null | lib/net/__init__.py | yaopengUSTC/mbit-skin-cancer | a82a87b2abebaf724dbe2a7b7e833c434c1b56a0 | [
"MIT"
] | null | null | null | from .network import Network
| 15 | 29 | 0.8 | 4 | 30 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 30 | 1 | 30 | 30 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ee0f98d359cd2b3c5033e1e21b2cf0d223eb9dc9 | 205,527 | py | Python | .qt_for_python/rcc/resources.py | CS3250-Ctrl-Intelligence/Team-Project_Python | 6b8fef2b09628666a198f4c86f5c8226eabed406 | [
"CC0-1.0"
] | 3 | 2022-03-01T10:23:12.000Z | 2022-03-05T01:38:01.000Z | .qt_for_python/rcc/resources.py | CS3250-Ctrl-Intelligence/Team-Project_Python | 6b8fef2b09628666a198f4c86f5c8226eabed406 | [
"CC0-1.0"
] | 18 | 2022-02-25T17:53:49.000Z | 2022-03-19T03:31:11.000Z | .qt_for_python/rcc/resources.py | CS3250-Ctrl-Intelligence/Team-Project_Python | 6b8fef2b09628666a198f4c86f5c8226eabed406 | [
"CC0-1.0"
] | null | null | null | # Resource object code (Python 3)
# Created by: object code
# Created by: The Resource Compiler for Qt version 5.15.2
# WARNING! All changes made in this file will be lost!
from PySide2 import QtCore
qt_resource_data = b"\
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"
def qInitResources():
QtCore.qRegisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
| 22.376375 | 96 | 0.673916 | 42,365 | 205,527 | 3.26876 | 0.038947 | 0.095233 | 0.059792 | 0.053206 | 0.867462 | 0.829969 | 0.787061 | 0.742239 | 0.674208 | 0.587756 | 0 | 0.324579 | 0.095545 | 205,527 | 9,184 | 97 | 22.378811 | 0.420383 | 0.000798 | 0 | 0.621389 | 0 | 0.05091 | 0 | 0 | 0 | 0 | 0.000039 | 0 | 0 | 1 | 0.000218 | false | 0.000109 | 0.000109 | 0 | 0.000327 | 0.000109 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 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 | 6 |
ee25f5a6455567441965b2e56b627fdb750866d7 | 26 | py | Python | openmmml/models/__init__.py | jthorton/openmm-ml | 94b111922d4e18846204fc3909bdad77c1e1966a | [
"MIT"
] | 15 | 2021-02-23T19:53:39.000Z | 2022-03-04T01:11:18.000Z | openmmml/models/__init__.py | jthorton/openmm-ml | 94b111922d4e18846204fc3909bdad77c1e1966a | [
"MIT"
] | 22 | 2021-02-13T23:51:02.000Z | 2022-03-30T17:53:12.000Z | openmmml/models/__init__.py | jthorton/openmm-ml | 94b111922d4e18846204fc3909bdad77c1e1966a | [
"MIT"
] | 9 | 2021-02-10T20:55:46.000Z | 2022-03-15T21:20:52.000Z | from . import anipotential | 26 | 26 | 0.846154 | 3 | 26 | 7.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 26 | 1 | 26 | 26 | 0.956522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ee528f81db7c9c23cf12e909e7f3a42a61d41071 | 80 | py | Python | tests/test_plugin.py | frictionlessdata/livemark-ckan | eed9c59138f0e50b1c429e4120e04a956ac90fc4 | [
"MIT"
] | 1 | 2021-09-09T07:34:24.000Z | 2021-09-09T07:34:24.000Z | tests/test_plugin.py | frictionlessdata/livemark-ckan | eed9c59138f0e50b1c429e4120e04a956ac90fc4 | [
"MIT"
] | null | null | null | tests/test_plugin.py | frictionlessdata/livemark-ckan | eed9c59138f0e50b1c429e4120e04a956ac90fc4 | [
"MIT"
] | null | null | null | from livemark_ckan import CkanPlugin
def test_plugin():
assert CkanPlugin
| 13.333333 | 36 | 0.7875 | 10 | 80 | 6.1 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 80 | 5 | 37 | 16 | 0.924242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 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 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c9b107b13ab88cbc38c192d0be4ae65240c2dd87 | 194 | py | Python | tests/pytest/session_overrides/session_locale/conftest.py | tactlabs/randum | 11274a52d206f9fcc2ec1a8935257d93fd83fe66 | [
"MIT"
] | null | null | null | tests/pytest/session_overrides/session_locale/conftest.py | tactlabs/randum | 11274a52d206f9fcc2ec1a8935257d93fd83fe66 | [
"MIT"
] | null | null | null | tests/pytest/session_overrides/session_locale/conftest.py | tactlabs/randum | 11274a52d206f9fcc2ec1a8935257d93fd83fe66 | [
"MIT"
] | null | null | null | import pytest
from tests.pytest.session_overrides.session_locale import _MODULE_LOCALES
@pytest.fixture(scope='session', autouse=True)
def randum_session_locale():
return _MODULE_LOCALES
| 21.555556 | 73 | 0.824742 | 25 | 194 | 6.08 | 0.64 | 0.171053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097938 | 194 | 8 | 74 | 24.25 | 0.868571 | 0 | 0 | 0 | 0 | 0 | 0.036082 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 0.8 | 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 | 1 | 1 | 1 | 0 | 0 | 6 |
c9e26f71c21e1b936ddd8814ed57561253feb0c4 | 345 | py | Python | bindings/python/tests/compiler_xla_test.py | tucker824/iree | bd675b997e78d0aa204ac94fffa99113e09bbef1 | [
"Apache-2.0"
] | null | null | null | bindings/python/tests/compiler_xla_test.py | tucker824/iree | bd675b997e78d0aa204ac94fffa99113e09bbef1 | [
"Apache-2.0"
] | null | null | null | bindings/python/tests/compiler_xla_test.py | tucker824/iree | bd675b997e78d0aa204ac94fffa99113e09bbef1 | [
"Apache-2.0"
] | null | null | null | l086jXnOFE4BtKQlonKnUg+VY1GYfjn3PlxLmSqeVotZ4EuiAMTRmf5+72mmbZZF4OYRQy4ORTJsO2Lt/QsW8VSvG5vQKpjflbbMObnXBVoTrkvHd1i/xYqBUsktc9t4/jn2WW5MROuLwrYvo6gnjHRy6gmPQqxC9RBvC7DXptoYwekEWRh0D5BZ/88slO4iQJ7C+cA0/0fzjIePXkeacQumgZuYLZLnV4+TH9vAQmL4yh4OUnePCcuwG7X74/SlKA065fJIaPqpAE35FC0qaAULRE5E5tdVlWTiwjT1GSFgH2vo18Y7978tgm8D3QhXDcm0dtR6owQA8zbJngxFbQ==
| 172.5 | 344 | 0.962319 | 11 | 345 | 30.181818 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.174419 | 0.002899 | 345 | 1 | 345 | 345 | 0.790698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
c9e73d146170d414590c340742db4e7823e30078 | 138 | py | Python | drizm_commons/google/__init__.py | drizm-team/python-commons | 55e14754222cc1aa8a6c9137f75d529158864fee | [
"MIT"
] | null | null | null | drizm_commons/google/__init__.py | drizm-team/python-commons | 55e14754222cc1aa8a6c9137f75d529158864fee | [
"MIT"
] | 2 | 2021-01-01T19:45:33.000Z | 2021-03-03T13:25:41.000Z | drizm_commons/google/__init__.py | drizm-team/python-commons | 55e14754222cc1aa8a6c9137f75d529158864fee | [
"MIT"
] | null | null | null | from .token import force_obtain_id_token
from .testing import TestStorageBucket
__all__ = ["force_obtain_id_token", "TestStorageBucket"]
| 27.6 | 56 | 0.833333 | 17 | 138 | 6.176471 | 0.529412 | 0.209524 | 0.247619 | 0.342857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094203 | 138 | 4 | 57 | 34.5 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0.275362 | 0.152174 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 6 |
c9f013880681af1ec170a493272e1750c2b113b3 | 2,592 | py | Python | utests/is_operator.py | CreativeBlockchainDevelopers/tezos-artblocks | a25dee4cff6e3c0a49565435a473717b37af01eb | [
"MIT"
] | 2 | 2021-11-12T09:56:40.000Z | 2022-03-21T22:33:25.000Z | utests/is_operator.py | CreativeBlockchainDevelopers/tezos-artblocks | a25dee4cff6e3c0a49565435a473717b37af01eb | [
"MIT"
] | null | null | null | utests/is_operator.py | CreativeBlockchainDevelopers/tezos-artblocks | a25dee4cff6e3c0a49565435a473717b37af01eb | [
"MIT"
] | null | null | null | def run_tests_is_operator(config):
scenario = sp.test_scenario()
admin, [alice, bob] = get_addresses()
op = sp.test_account("Operator")
scenario.h1("Is operator tests")
scenario.table_of_contents()
#-----------------------------------------------------
scenario.h2("Non-existing token, no operator")
contract = create_new_contract(config, admin, scenario, [])
is_op = contract.is_operator(
sp.record(owner=alice.address, operator=op.address, token_id=0)
)
scenario.verify(is_op == False)
#-----------------------------------------------------
scenario.h2("Existing token, owner")
contract = create_new_contract(config, admin, scenario, [alice])
is_op = contract.is_operator(
sp.record(owner=alice.address, operator=alice.address, token_id=0)
)
scenario.verify(is_op == False)
#-----------------------------------------------------
scenario.h2("Existing token, no owner, no operator")
contract = create_new_contract(config, admin, scenario, [alice])
is_op = contract.is_operator(
sp.record(owner=alice.address, operator=op.address, token_id=0)
)
scenario.verify(is_op == False)
#-----------------------------------------------------
scenario.h2("Non-existing token, owner")
contract = create_new_contract(config, admin, scenario, [])
is_op = contract.is_operator(
sp.record(owner=alice.address, operator=alice.address, token_id=0)
)
scenario.verify(is_op == False)
#-----------------------------------------------------
scenario.h2("Non-existing token, operator")
contract = create_new_contract(config, admin, scenario, [])
contract.update_operators([
sp.variant("add_operator", contract.operator_param.make(
owner=alice.address,
operator=op.address,
token_id=0))
]).run(sender=alice)
is_op = contract.is_operator(
sp.record(owner=alice.address, operator=op.address, token_id=0)
)
scenario.verify(is_op == True)
#-----------------------------------------------------
scenario.h2("Existing token, operator")
contract = create_new_contract(config, admin, scenario, [alice])
contract.update_operators([
sp.variant("add_operator", contract.operator_param.make(
owner=alice.address,
operator=op.address,
token_id=0))
]).run(sender=alice)
is_op = contract.is_operator(
sp.record(owner=alice.address, operator=op.address, token_id=0)
)
scenario.verify(is_op == True)
| 33.230769 | 74 | 0.577932 | 283 | 2,592 | 5.109541 | 0.151943 | 0.033195 | 0.094053 | 0.138313 | 0.887967 | 0.869986 | 0.869986 | 0.869986 | 0.869986 | 0.852697 | 0 | 0.007129 | 0.188272 | 2,592 | 77 | 75 | 33.662338 | 0.680133 | 0.122685 | 0 | 0.666667 | 0 | 0 | 0.094797 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018519 | false | 0 | 0 | 0 | 0.018519 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
4e4b2e20f6b3c5958c5dcab4df41a984929ff67b | 57 | py | Python | password_store/__init__.py | cjwatson/py-password-store | 4ee5db0d7cef2da7c2137d3ee08923adc74a41bb | [
"MIT"
] | null | null | null | password_store/__init__.py | cjwatson/py-password-store | 4ee5db0d7cef2da7c2137d3ee08923adc74a41bb | [
"MIT"
] | null | null | null | password_store/__init__.py | cjwatson/py-password-store | 4ee5db0d7cef2da7c2137d3ee08923adc74a41bb | [
"MIT"
] | 1 | 2022-03-16T11:22:42.000Z | 2022-03-16T11:22:42.000Z | # TODO unit testing
from .credentials import Credentials | 19 | 36 | 0.824561 | 7 | 57 | 6.714286 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140351 | 57 | 3 | 36 | 19 | 0.959184 | 0.298246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 0 | 1 | 0 | true | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4e8443da98b9f1c5c8ef1e2400b4cce509ec7155 | 64 | py | Python | addon/__init__.py | BlueGreenMagick/review-with-mouse | 4ec9dceac0f183786771294643583df36aff3d47 | [
"MIT"
] | 8 | 2020-01-20T15:59:35.000Z | 2022-01-23T22:46:14.000Z | addon/__init__.py | BlueGreenMagick/review-with-mouse | 4ec9dceac0f183786771294643583df36aff3d47 | [
"MIT"
] | 16 | 2020-01-15T19:42:29.000Z | 2022-03-18T12:14:45.000Z | addon/__init__.py | BlueGreenMagick/Hotmouse-Review | 72dba71bbbcf8ef6112a36c877b0aa7d4fe18a70 | [
"MIT"
] | 1 | 2020-12-19T12:28:01.000Z | 2020-12-19T12:28:01.000Z | from . import firstrun
from . import config
from . import event
| 16 | 22 | 0.765625 | 9 | 64 | 5.444444 | 0.555556 | 0.612245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 64 | 3 | 23 | 21.333333 | 0.942308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4e966748b9377788e7f662a6aef3eb0907834079 | 7,276 | py | Python | data.py | allePansera/Cimone-Monitoring | f7a9b62753d4b5981f2a6539e3ed6206d6e31705 | [
"MIT"
] | null | null | null | data.py | allePansera/Cimone-Monitoring | f7a9b62753d4b5981f2a6539e3ed6206d6e31705 | [
"MIT"
] | null | null | null | data.py | allePansera/Cimone-Monitoring | f7a9b62753d4b5981f2a6539e3ed6206d6e31705 | [
"MIT"
] | null | null | null | import pzgram
import request
import urllib
import bs4 as bs
import datetime
contUsi = 0
bot = pzgram.Bot("821759300:AAFObxDxOpQkuhalssk39Pz1FHMFN5CWhPI")
class Telegram:
def __init__(self,periodo,clima,temp,wind):
self.temp = temp
self.wind = wind
self.clima = clima
self.periodo = periodo
def send(self):
pzgram.Chat(bot, 693507806).send(self.periodo+"\n\n"+self.clima+"\n"+self.temp+"\n"+self.wind+"\n")
def sendLive():
urllib.request.urlretrieve("https://www.cimonesci.it/cams/passo_lupo.jpg", "img.png")
pzgram.Chat(bot, 693507806).send_photo("./img.png", caption="Passo del Lupo")
def Today():
pzgram.Chat(bot, 693507806).send(datetime.date.today())
headers = {}
headers[
"user-agent"] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17"
url = "https://www.cimonesci.it/meteo/"
req = urllib.request.Request(url, headers=headers)
resp = urllib.request.urlopen(req).read()
soup = bs.BeautifulSoup(resp, "lxml")
find = soup.find("div", attrs={"id": "3-0"})
day = find.find("table", attrs={"class":"contenitore-meteo"})
data = day.find_all("tr")
cont = 1
lista = data[0]
lista2 = data[1]
lista3 = data[2]
lista4 = data[6]
periodoGiornata = lista.find_all("td")
clima = lista2.find_all("td")
temp = lista3.find_all("td")
wind = lista4.find_all("td")
##bottoni che mostrano la foto attuale delle piste (sotto bottoni)
##scegliere la data di controllo
while (cont < 5):
periodo2 = periodoGiornata[cont].get_text().strip()
clima2 ="CLIMA :::: " + clima[cont].get_text().strip()
#urllib.request.urlretrieve(clima[cont].find("img", src = True)["src"] , "img.png")
temp2 = "TEMPERATURA :::: " + temp[cont].get_text().strip()
wind2 = "VENTO ::::: "+ wind[cont].get_text().strip()
t = Telegram(periodo2, clima2, temp2, wind2)
t.send()
cont += 1
print("I")
########################################################
def Today2():
pzgram.Chat(bot, 693507806).send(datetime.date.today() + datetime.timedelta(days=1))
headers = {}
headers[
"user-agent"] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17"
url = "https://www.cimonesci.it/meteo/"
req = urllib.request.Request(url, headers=headers)
resp = urllib.request.urlopen(req).read()
soup = bs.BeautifulSoup(resp, "lxml")
find = soup.find("div", attrs={"id":"3-1"})
day = find.find("table", attrs={"class": "contenitore-meteo"})
data = day.find_all("tr")
cont = 1
lista = data[0]
lista2 = data[1]
lista3 = data[2]
lista4 = data[6]
periodoGiornata = lista.find_all("td")
clima = lista2.find_all("td")
temp = lista3.find_all("td")
wind = lista4.find_all("td")
##bottoni che mostrano la foto attuale delle piste (sotto bottoni)
##scegliere la data di controllo
while (cont < 5):
periodo2 = periodoGiornata[cont].get_text().strip()
clima2 = "CLIMA :::: " + clima[cont].get_text().strip()
# urllib.request.urlretrieve(clima[cont].find("img", src = True)["src"] , "img.png")
temp2 = "TEMPERATURA :::: " + temp[cont].get_text().strip()
wind2 = "VENTO ::::: " + wind[cont].get_text().strip()
t = Telegram(periodo2, clima2, temp2, wind2)
t.send()
cont += 1
print("I")
########################################################
def Today3():
pzgram.Chat(bot, 693507806).send(datetime.date.today() + datetime.timedelta(days=2))
headers = {}
headers[
"user-agent"] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17"
url = "https://www.cimonesci.it/meteo/"
req = urllib.request.Request(url, headers=headers)
resp = urllib.request.urlopen(req).read()
soup = bs.BeautifulSoup(resp, "lxml")
find = soup.find("div", attrs={"id": "3-2"})
day = find.find("table", attrs={"class": "contenitore-meteo"})
data = day.find_all("tr")
cont = 1
lista = data[0]
lista2 = data[1]
lista3 = data[2]
lista4 = data[6]
periodoGiornata = lista.find_all("td")
clima = lista2.find_all("td")
temp = lista3.find_all("td")
wind = lista4.find_all("td")
##bottoni che mostrano la foto attuale delle piste (sotto bottoni)
##scegliere la data di controllo
while (cont < 5):
periodo2 = periodoGiornata[cont].get_text().strip()
clima2 = "CLIMA :::: " + clima[cont].get_text().strip()
# urllib.request.urlretrieve(clima[cont].find("img", src = True)["src"] , "img.png")
temp2 = "TEMPERATURA :::: " + temp[cont].get_text().strip()
wind2 = "VENTO ::::: " + wind[cont].get_text().strip()
t = Telegram(periodo2, clima2, temp2, wind2)
t.send()
cont += 1
print("I")
########################################################
def Today4():
pzgram.Chat(bot, 693507806).send(datetime.date.today() + datetime.timedelta(days=3))
headers = {}
headers[
"user-agent"] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17"
url = "https://www.cimonesci.it/meteo/"
req = urllib.request.Request(url, headers=headers)
resp = urllib.request.urlopen(req).read()
soup = bs.BeautifulSoup(resp, "lxml")
find = soup.find("div", attrs={"id": "3-1"})
day = find.find("table", attrs={"class": "contenitore-meteo"})
data = day.find_all("tr")
cont = 1
lista = data[0]
lista2 = data[1]
lista3 = data[2]
lista4 = data[6]
periodoGiornata = lista.find_all("td")
clima = lista2.find_all("td")
temp = lista3.find_all("td")
wind = lista4.find_all("td")
##bottoni che mostrano la foto attuale delle piste (sotto bottoni)
##scegliere la data di controllo
while (cont < 5):
periodo2 = periodoGiornata[cont].get_text().strip()
clima2 = "CLIMA :::: " + clima[cont].get_text().strip()
# urllib.request.urlretrieve(clima[cont].find("img", src = True)["src"] , "img.png")
temp2 = "TEMPERATURA :::: " + temp[cont].get_text().strip()
wind2 = "VENTO ::::: " + wind[cont].get_text().strip()
t = Telegram(periodo2, clima2, temp2, wind2)
t.send()
cont += 1
print("I")
###############################################################
def main():
#definire che o si scegli di vedere i dati oppure si vogliono vedere le web cam
button1 = pzgram.create_button("data1", data="#3-0")
button2 = pzgram.create_button("data2", data="#3-1")
button3 = pzgram.create_button("data3", data="#3-2")
button4 = pzgram.create_button("data4", data="#3-3")
buttonlive = pzgram.create_button("live", data="send")
k = [[buttonlive,button1,button2, button3, button4]]
keyboard = pzgram.create_inline(k)
pzgram.Chat(bot, 693507806).send("Seleziona la data che ti interessa: ", reply_markup=keyboard)
bot.set_query({"#3-0": Today, "#3-1": Today2, "#3-2": Today3, "#3-3": Today4, "send": sendLive})
bot.set_commands({"info": main})
bot.run()
| 32.627803 | 128 | 0.595107 | 934 | 7,276 | 4.58137 | 0.172377 | 0.032718 | 0.033653 | 0.059827 | 0.798084 | 0.779855 | 0.779855 | 0.779855 | 0.769806 | 0.769806 | 0 | 0.053501 | 0.201072 | 7,276 | 222 | 129 | 32.774775 | 0.682608 | 0.107889 | 0 | 0.733333 | 0 | 0.026667 | 0.186759 | 0.007214 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053333 | false | 0.013333 | 0.033333 | 0 | 0.093333 | 0.026667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4eaece7fae0f828ee2bcec9bb2ed2cc864f7877e | 492 | py | Python | packages/pyright-internal/src/tests/samples/with4.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 4,391 | 2019-05-07T01:18:57.000Z | 2022-03-31T20:45:44.000Z | packages/pyright-internal/src/tests/samples/with4.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 2,740 | 2019-05-07T03:29:30.000Z | 2022-03-31T12:57:46.000Z | packages/pyright-internal/src/tests/samples/with4.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 455 | 2019-05-07T12:55:14.000Z | 2022-03-31T17:09:15.000Z | # This sample tests that parentheses are allowed in with statements
# if using Python 3.9 and later.
from tempfile import TemporaryFile
# This should generate an error
with (TemporaryFile() as a, TemporaryFile() as b):
pass
# This should generate an error
with (TemporaryFile() as c, ):
pass
# This should generate an error
with (TemporaryFile() as d):
pass
with (TemporaryFile()):
pass
# This should generate an error
with (TemporaryFile(), TemporaryFile()):
pass
| 19.68 | 67 | 0.71748 | 66 | 492 | 5.348485 | 0.469697 | 0.240793 | 0.203966 | 0.226629 | 0.526912 | 0.526912 | 0.526912 | 0.526912 | 0.271955 | 0 | 0 | 0.005089 | 0.20122 | 492 | 24 | 68 | 20.5 | 0.89313 | 0.439024 | 0 | 0.454545 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.454545 | 0.090909 | 0 | 0.090909 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
4ebfe370c0dbe8a2ea651630de0435d9d7787085 | 5,945 | py | Python | tests/utils/test_split.py | albertogaspar/dts | 9fcad2c672cdcf5d2c6bd005dae05afc65f97e58 | [
"MIT"
] | 139 | 2019-09-09T12:20:41.000Z | 2022-03-28T06:21:43.000Z | tests/utils/test_split.py | yfh15882384041/dts | 9fcad2c672cdcf5d2c6bd005dae05afc65f97e58 | [
"MIT"
] | 4 | 2019-12-15T11:40:31.000Z | 2020-08-02T16:06:05.000Z | tests/utils/test_split.py | yfh15882384041/dts | 9fcad2c672cdcf5d2c6bd005dae05afc65f97e58 | [
"MIT"
] | 37 | 2019-08-31T00:50:33.000Z | 2022-02-07T12:25:18.000Z | import numpy as np
from dts.utils.split import *
import unittest
class TestSplit(unittest.TestCase):
def __init__(self,*args,**kwargs):
self.X = np.random.uniform(0., 10., size=(10000,10))
super().__init__(*args,**kwargs)
def test_simple_split(self):
test_len = 4000
res = simple_split(self.X, train_len=None, valid_len=None, test_len=test_len)
self.assertTupleEqual(res[0].shape, (self.X.shape[0] - test_len, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (0, self.X.shape[1]))
self.assertTupleEqual(res[2].shape, (test_len, self.X.shape[1]))
train_len = 6000
test_len = 1000
res = simple_split(self.X, train_len=train_len, valid_len=None, test_len=test_len)
self.assertTupleEqual(res[0].shape, (train_len, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (3000, self.X.shape[1]))
self.assertTupleEqual(res[2].shape, (self.X.shape[0] - train_len - 3000, self.X.shape[1]))
train_len = 3000
valid_len = 500
test_len = 200
res = simple_split(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)
self.assertTupleEqual(res[0].shape, (train_len, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (valid_len, self.X.shape[1]))
self.assertTupleEqual(res[2].shape, (self.X.shape[0] - train_len - valid_len, self.X.shape[1]))
def test_multiple_split(self):
test_len = 4000
self.assertRaises(ValueError, multiple_splits ,self.X, None, None, test_len)
train_len = 6000
test_len = 1000
res = multiple_splits(self.X, train_len=train_len, valid_len=None, test_len=test_len)
self.assertTupleEqual(res[0].shape, (1, train_len, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (1, 3000, self.X.shape[1]))
self.assertTupleEqual(res[2].shape, (1, test_len, self.X.shape[1]))
train_len = 1000
valid_len = 500
test_len = 200
groups = self.X.shape[0] // (train_len + valid_len + test_len)
res = multiple_splits(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)
self.assertTupleEqual(res[0].shape, (groups, train_len, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (groups, valid_len, self.X.shape[1]))
self.assertTupleEqual(res[2].shape, (groups, test_len, self.X.shape[1]))
def test_rnn_inputs(self):
window_size = 100
horizon = 10
train_len = 3000
valid_len = 0
test_len = 200
X = simple_split(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)[0]
res = get_rnn_inputs(X, window_size, horizon, multivariate_output=False, shuffle=False)
n_samples = X.shape[0] - horizon - window_size + 1
self.assertTupleEqual(res[0].shape, (n_samples, window_size, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (n_samples, horizon))
train_len = 1000
valid_len = 0
test_len = 200
groups = self.X.shape[0] // (train_len + valid_len + test_len)
X = multiple_splits(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)[0]
res = get_rnn_inputs(X, window_size, horizon, multivariate_output=False, shuffle=False)
n_samples = groups*(train_len - horizon - window_size + 1)
self.assertTupleEqual(res[0].shape, (n_samples, window_size, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (n_samples, horizon))
train_len = 3000
valid_len = 0
test_len = 200
X = simple_split(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)[0]
res = get_rnn_inputs(X, window_size, horizon, multivariate_output=True, shuffle=False)
n_samples = X.shape[0] - horizon - window_size + 1
self.assertTupleEqual(res[0].shape, (n_samples, window_size, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (n_samples, horizon, self.X.shape[1]))
train_len = 1000
valid_len = 0
test_len = 200
groups = self.X.shape[0] // (train_len + valid_len + test_len)
X = multiple_splits(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)[0]
res = get_rnn_inputs(X, window_size, horizon, multivariate_output=True, shuffle=False)
n_samples = groups*(train_len - horizon - window_size + 1)
self.assertTupleEqual(res[0].shape, (n_samples, window_size, self.X.shape[1]))
self.assertTupleEqual(res[1].shape, (n_samples, horizon, self.X.shape[1]))
def test_seq2seq_inputs(self):
window_size = 100
horizon = 10
train_len = 3000
valid_len = 0
test_len = 200
X = simple_split(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)[0]
enc_in, dec_in, dec_tar = get_seq2seq_inputs(X, window_size, horizon, shuffle=False)
n_samples = X.shape[0] - horizon - window_size + 1
self.assertTupleEqual(enc_in.shape, (n_samples, window_size, self.X.shape[1]))
self.assertTupleEqual(dec_in.shape, (n_samples, horizon, self.X.shape[1]))
self.assertTupleEqual(dec_tar.shape, (n_samples, horizon, 1))
train_len = 1000
valid_len = 0
test_len = 200
groups = self.X.shape[0] // (train_len + valid_len + test_len)
X = multiple_splits(self.X, train_len=train_len, valid_len=valid_len, test_len=test_len)[0]
enc_in, dec_in, dec_tar = get_seq2seq_inputs(X, window_size, horizon, shuffle=False)
n_samples = groups * (train_len - horizon - window_size + 1)
self.assertTupleEqual(enc_in.shape, (n_samples, window_size, self.X.shape[1]))
self.assertTupleEqual(dec_in.shape, (n_samples, horizon, self.X.shape[1]))
self.assertTupleEqual(dec_tar.shape, (n_samples, horizon, 1))
if __name__ == "__main__":
unittest.main() | 46.085271 | 103 | 0.659209 | 882 | 5,945 | 4.188209 | 0.077098 | 0.06091 | 0.086627 | 0.074445 | 0.920141 | 0.904169 | 0.888468 | 0.860314 | 0.849215 | 0.829995 | 0 | 0.043237 | 0.210261 | 5,945 | 129 | 104 | 46.085271 | 0.743557 | 0 | 0 | 0.692308 | 0 | 0 | 0.001345 | 0 | 0 | 0 | 0 | 0 | 0.288462 | 1 | 0.048077 | false | 0 | 0.028846 | 0 | 0.086538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
4ec54cdf3e0bc2a47a071a571b988adbbf842efc | 24 | py | Python | surge/__init__.py | joshp-f/surgetypes-python | ec5926ceab0e3cd8532e6c3e0cebb7dacb153cee | [
"MIT"
] | null | null | null | surge/__init__.py | joshp-f/surgetypes-python | ec5926ceab0e3cd8532e6c3e0cebb7dacb153cee | [
"MIT"
] | null | null | null | surge/__init__.py | joshp-f/surgetypes-python | ec5926ceab0e3cd8532e6c3e0cebb7dacb153cee | [
"MIT"
] | null | null | null | from .surge import trace | 24 | 24 | 0.833333 | 4 | 24 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 24 | 1 | 24 | 24 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
14e973b60a7a4a7945c15ca81592ecdece122ec3 | 10,438 | py | Python | tests/unit/test_topology.py | oglok/CPU-Manager-for-Kubernetes | 503f37dcb20452699ce789b6628fa3ebeb9ffb54 | [
"Apache-2.0"
] | 152 | 2018-05-24T02:19:41.000Z | 2022-03-23T08:39:11.000Z | tests/unit/test_topology.py | oglok/CPU-Manager-for-Kubernetes | 503f37dcb20452699ce789b6628fa3ebeb9ffb54 | [
"Apache-2.0"
] | 64 | 2018-05-30T13:09:40.000Z | 2021-12-29T14:00:25.000Z | tests/unit/test_topology.py | oglok/CPU-Manager-for-Kubernetes | 503f37dcb20452699ce789b6628fa3ebeb9ffb54 | [
"Apache-2.0"
] | 78 | 2018-05-22T13:26:54.000Z | 2022-02-20T22:33:07.000Z | # Copyright (c) 2017 Intel Corporation
#
# 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 intel import topology
def test_init_topology_one_core():
lscpu = """#The following is the parsable format, which can be fed to other
# programs. Each different item in every column has an unique ID
# starting from zero.
# CPU,Core,Socket,Node,,L1d,L1i,L2,L3
0,0,0,0,,0,0,0,0
"""
sockets = topology.parse(lscpu)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores
assert len(cores) == 1
assert 0 in cores
assert cores[0].cpu_ids() == [0]
def test_init_topology_two_cores():
lscpu = """#The following is the parsable format, which can be fed to other
# programs. Each different item in every column has an unique ID
# starting from zero.
# CPU,Core,Socket,Node,,L1d,L1i,L2,L3
0,0,0,0,,0,0,0,0
1,1,0,0,,1,1,1,0
"""
sockets = topology.parse(lscpu)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores
assert len(cores) == 2
assert 0 in cores
assert 1 in cores
assert cores[0].cpu_ids() == [0]
assert cores[1].cpu_ids() == [1]
def test_init_topology_one_socket():
lscpu = """#The following is the parsable format, which can be fed to other
# programs. Each different item in every column has an unique ID
# starting from zero.
# CPU,Core,Socket,Node,,L1d,L1i,L2,L3
0,0,0,0,,0,0,0,0
1,1,0,0,,1,1,1,0
2,2,0,0,,2,2,2,0
3,3,0,0,,3,3,3,0
4,0,0,0,,0,0,0,0
5,1,0,0,,1,1,1,0
6,2,0,0,,2,2,2,0
7,3,0,0,,3,3,3,0
"""
sockets = topology.parse(lscpu)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores
assert len(cores) == 4
assert 0 in cores
assert 1 in cores
assert 2 in cores
assert 3 in cores
assert cores[0].cpu_ids() == [0, 4]
assert cores[1].cpu_ids() == [1, 5]
assert cores[2].cpu_ids() == [2, 6]
assert cores[3].cpu_ids() == [3, 7]
def test_parse_isolcpus_invalid_input():
assert topology.parse_isolcpus("") == []
assert topology.parse_isolcpus("a") == []
assert topology.parse_isolcpus("a b") == []
assert topology.parse_isolcpus("a b\n") == []
assert topology.parse_isolcpus("a b c\nA B C") == []
assert topology.parse_isolcpus("a b=7 c\nA B C") == []
assert topology.parse_isolcpus("a b=7 c=7,8,9\nA B C") == []
assert topology.parse_isolcpus("a b=7 c=7, 8,9\nA B C") == []
def test_parse_isolcpus_valid_input():
cmdline = ("BOOT_IMAGE=/boot/vmlinuz-4.4.14-040414-generic "
"root=/dev/md2 ro net.ifnames=0 isolcpus=0,1,2,3,8,9,10,11")
assert topology.parse_isolcpus(cmdline) == [0, 1, 2, 3, 8, 9, 10, 11]
cmdline = ("BOOT_IMAGE=/boot/vmlinuz-4.4.14-040414-generic "
"root=/dev/md2 ro net.ifnames=0 "
"isolcpus=0,1,2,3,8,9,10,11,15-18")
assert topology.parse_isolcpus(cmdline) == [0, 1, 2, 3, 8, 9, 10, 11, 15,
16, 17, 18]
cmdline = ("BOOT_IMAGE=/boot/vmlinuz-4.4.14-040414-generic "
"root=/dev/md2 ro net.ifnames=0 "
"isolcpus=0,1,2,3,8,9,10,11,10-13")
assert topology.parse_isolcpus(cmdline) == [0, 1, 2, 3, 8, 9, 10, 11, 12,
13]
def test_topology_isolated_one_socket():
lscpu = """#The following is the parsable format, which can be fed to other
# programs. Each different item in every column has an unique ID
# starting from zero.
# CPU,Core,Socket,Node,,L1d,L1i,L2,L3
0,0,0,0,,0,0,0,0
1,1,0,0,,1,1,1,0
2,2,0,0,,2,2,2,0
3,3,0,0,,3,3,3,0
4,0,0,0,,0,0,0,0
5,1,0,0,,1,1,1,0
6,2,0,0,,2,2,2,0
7,3,0,0,,3,3,3,0
"""
isolated_cpus = [0, 4, 1, 5]
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores
assert len(cores) == 4
assert 0 in cores
assert 1 in cores
assert 2 in cores
assert 3 in cores
assert cores[0].cpu_ids() == [0, 4]
assert cores[0].is_isolated()
assert cores[1].cpu_ids() == [1, 5]
assert cores[1].is_isolated()
assert cores[2].cpu_ids() == [2, 6]
assert not cores[2].is_isolated()
assert cores[3].cpu_ids() == [3, 7]
assert not cores[3].is_isolated()
# Verify that partially isolated physical cores (where only a subset of
# the physical core's hyperthreads are in the isolated list) are not
# reported as isolated.
isolated_cpus = [0, 1]
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores.values()
assert len(cores) == 4
assert len([c for c in cores if c.is_isolated()]) == 0
# Test case where all discovered cores are isolated.
isolated_cpus = list(range(8))
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores.values()
assert len(cores) == 4
assert len([c for c in cores if c.is_isolated()]) == 4
# Test case where superset of discovered cores are isolated.
isolated_cpus = list(range(9))
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 1
cores = sockets.get_socket(0).cores.values()
assert len(cores) == 4
assert len([c for c in cores if c.is_isolated()]) == 4
def test_topology_isolated_two_sockets():
lscpu = """# The following is the parsable format, which can be fed to other
# programs. Each different item in every column has an unique ID
# starting from zero.
# CPU,Core,Socket,Node,,L1d,L1i,L2
0,0,0,,,0,0,0
1,1,0,,,1,1,1
2,2,0,,,2,2,2
3,3,0,,,3,3,3
4,0,0,,,4,4,4
5,1,0,,,5,5,5
6,2,0,,,6,6,6
7,3,0,,,7,7,7
8,0,1,,,8,8,8
9,1,1,,,9,9,9
10,2,1,,,10,10,10
11,3,1,,,11,11,11
12,0,1,,,12,12,12
13,1,1,,,13,13,13
14,2,1,,,14,14,14
15,3,1,,,15,15,15
"""
isolated_cpus = [0, 4, 1, 5, 8, 12, 10, 14]
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 2
cores = sockets.get_cores()
assert len(cores) == 8
for core in cores:
assert core.core_id >= 0
assert core.core_id < 16
assert cores[0].cpu_ids() == [0, 4]
assert cores[0].is_isolated()
assert cores[1].cpu_ids() == [1, 5]
assert cores[1].is_isolated()
assert cores[2].cpu_ids() == [2, 6]
assert not cores[2].is_isolated()
assert cores[3].cpu_ids() == [3, 7]
assert not cores[3].is_isolated()
assert cores[4].cpu_ids() == [8, 12]
assert cores[4].is_isolated()
assert cores[5].cpu_ids() == [9, 13]
assert not cores[5].is_isolated()
assert cores[6].cpu_ids() == [10, 14]
assert cores[6].is_isolated()
assert cores[7].cpu_ids() == [11, 15]
assert not cores[7].is_isolated()
isolated_cores = sockets.get_isolated_cores()
assert len(isolated_cores) == 4
for core in isolated_cores:
assert core.cpu_ids() in [[0, 4], [1, 5], [8, 12], [10, 14]]
assert core.cpu_ids() not in [[2, 6], [3, 7], [9, 13], [11, 15]]
# Verify that partially isolated physical cores (where only a subset of
# the physical core's hyperthreads are in the isolated list) are not
# reported as isolated.
isolated_cpus = [0, 1]
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 2
cores = sockets.get_socket(0).cores.values()
assert len(cores) == 4
assert len([c for c in cores if c.is_isolated()]) == 0
# Test case where all discovered cores are isolated.
isolated_cpus = list(range(8))
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 2
cores = sockets.get_socket(0).cores.values()
assert len(cores) == 4
assert len([c for c in cores if c.is_isolated()]) == 4
# Test case where superset of discovered cores are isolated.
isolated_cpus = list(range(9))
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 2
cores = sockets.get_socket(0).cores.values()
assert len(cores) == 4
assert len([c for c in cores if c.is_isolated()]) == 4
assert sockets.get_socket(3) is None
def test_topology_cores_get_modes():
lscpu = """# The following is the parsable format, which can be fed to other
# programs. Each different item in every column has an unique ID
# starting from zero.
# CPU,Core,Socket,Node,,L1d,L1i,L2
0,0,0,0,,0,0,0
1,0,0,0,,1,1,0
2,1,0,0,,2,2,1
3,1,0,0,,3,3,1
4,2,0,0,,4,4,2
5,2,0,0,,5,5,2
6,3,0,0,,6,6,3
7,3,0,0,,7,7,3
8,4,1,0,,8,8,4
9,4,1,0,,9,9,4
10,5,1,0,,10,10,5
11,5,1,0,,11,11,5
12,6,1,0,,12,12,6
13,6,1,0,,13,13,6
14,7,1,0,,14,14,7
15,7,1,0,,15,15,7
"""
isolated_cpus = [0, 1, 2, 3, 8, 9, 10, 11]
sockets = topology.parse(lscpu, isolated_cpus)
assert len(sockets.sockets) == 2
cores = sockets.get_cores(mode="spread")
assert cores[0].core_id == 0
assert cores[1].core_id == 4
assert cores[2].core_id == 1
assert cores[3].core_id == 5
cores = sockets.get_cores(mode="packed")
assert cores[0].core_id == 0
assert cores[1].core_id == 1
assert cores[2].core_id == 2
assert cores[3].core_id == 3
cores = sockets.get_cores(mode="unknown")
assert cores[0].core_id == 0
assert cores[1].core_id == 1
assert cores[2].core_id == 2
assert cores[3].core_id == 3
cores = sockets.get_isolated_cores(mode="spread")
for core in cores:
print(core.cpu_ids())
assert cores[0].core_id == 0
assert cores[1].core_id == 4
assert cores[2].core_id == 1
assert cores[3].core_id == 5
cores = sockets.get_isolated_cores(mode="packed")
for core in cores:
print(core.cpu_ids())
assert cores[0].core_id == 0
assert cores[1].core_id == 1
assert cores[2].core_id == 4
assert cores[3].core_id == 5
cores = sockets.get_isolated_cores(mode="unknown")
for core in cores:
print(core.cpu_ids())
assert cores[0].core_id == 0
assert cores[1].core_id == 1
assert cores[2].core_id == 4
assert cores[3].core_id == 5
| 31.345345 | 80 | 0.635275 | 1,872 | 10,438 | 3.457799 | 0.091346 | 0.022555 | 0.020392 | 0.021628 | 0.792214 | 0.772748 | 0.748494 | 0.746331 | 0.732736 | 0.723312 | 0 | 0.095117 | 0.207319 | 10,438 | 332 | 81 | 31.439759 | 0.687213 | 0.105097 | 0 | 0.671815 | 0 | 0.011583 | 0.257916 | 0.046367 | 0 | 0 | 0 | 0 | 0.432432 | 1 | 0.030888 | false | 0 | 0.003861 | 0 | 0.034749 | 0.011583 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
14eefdc9272e26eb369af87eb096a8169aa0bee5 | 40 | py | Python | tests/test_naive_cookiecutter.py | ickc/naive-cookiecutter | ff24f4229cbe0dd7b1c5bac682ad4096313dd755 | [
"BSD-3-Clause"
] | null | null | null | tests/test_naive_cookiecutter.py | ickc/naive-cookiecutter | ff24f4229cbe0dd7b1c5bac682ad4096313dd755 | [
"BSD-3-Clause"
] | null | null | null | tests/test_naive_cookiecutter.py | ickc/naive-cookiecutter | ff24f4229cbe0dd7b1c5bac682ad4096313dd755 | [
"BSD-3-Clause"
] | null | null | null | def test_naive_cookiecutter():
pass
| 13.333333 | 30 | 0.75 | 5 | 40 | 5.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 40 | 2 | 31 | 20 | 0.848485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 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 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
090f5a851953159d60eb53f0dd7c2e8d65dee6b1 | 14,440 | py | Python | test/test_examples_app.py | wugi/remi | 44903c9a2155974c2121d36037734bc4b7a4e2f3 | [
"Apache-2.0"
] | 1 | 2019-10-17T11:29:30.000Z | 2019-10-17T11:29:30.000Z | test/test_examples_app.py | wugi/remi | 44903c9a2155974c2121d36037734bc4b7a4e2f3 | [
"Apache-2.0"
] | null | null | null | test/test_examples_app.py | wugi/remi | 44903c9a2155974c2121d36037734bc4b7a4e2f3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import unittest
import remi.gui as gui
import sys
import os.path
import time
try:
from mock_server_and_request import MockServer, MockRequest
from html_validator import assertValidHTML
except ValueError:
from .mock_server_and_request import MockServer, MockRequest
from .html_validator import assertValidHTML
examples_dir = os.path.realpath(os.path.join(os.path.abspath(\
os.path.dirname(__file__)), '../examples'))
sys.path.append(examples_dir)
class TestHelloWorldApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import helloworld_app
cls.AppClass = helloworld_app.MyApp
def setUp(self):
# silence request logging for testing
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestTemplateApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import template_app
cls.AppClass = template_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestAppendAndRemoveWidgetsApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import append_and_remove_widgets_app
cls.AppClass = append_and_remove_widgets_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestCloseableApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import closeable_app
cls.AppClass = closeable_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestGaugeApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import gauge_app
cls.AppClass = gauge_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestGridLayoutApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import grid_layout_app
cls.AppClass = grid_layout_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestLayoutApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import layout_app
cls.AppClass = layout_app.untitled
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestMatplotlibApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import matplotlib_app
cls.AppClass = matplotlib_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
@unittest.skip('This was not terminating cleanly')
class TestMinefieldApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import minefield_app
cls.AppClass = minefield_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestNotificationApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import notification_app
cls.AppClass = notification_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestOncloseWindowApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import onclose_window_app
cls.AppClass = onclose_window_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestPageInternalsApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import page_internals_app
cls.AppClass = page_internals_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestPilApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import pil_app
cls.AppClass = pil_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestResizablePanes(unittest.TestCase):
@classmethod
def setUpClass(cls):
import resizable_panes
cls.AppClass = resizable_panes.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestResourcesApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import resources_app
cls.AppClass = resources_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
self.previouse_dir = os.getcwd()
os.chdir(examples_dir)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
os.chdir(self.previouse_dir)
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestRootWidgetChangeApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import root_widget_change_app
cls.AppClass = root_widget_change_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
@unittest.skip('This was not terminating cleanly')
class TestSessionApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import session_app
cls.AppClass = session_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestStandaloneApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import standalone_app
cls.AppClass = standalone_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
@unittest.skip('This was not terminating cleanly')
class TestSvgplotApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import svgplot_app
cls.AppClass = svgplot_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestTabboxApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import tabbox
cls.AppClass = tabbox.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestTableWidgetApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import table_widget_app
cls.AppClass = table_widget_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestTemplateAdvancedApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import template_advanced_app
cls.AppClass = template_advanced_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
class TestThreadedApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import threaded_app
cls.AppClass = threaded_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
time.sleep(1)
self.app.on_button_pressed(None)
class TestWebAPIApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import webAPI_app
cls.AppClass = webAPI_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
@unittest.skip('This was not terminating cleanly')
class TestWidgetOverviewApp(unittest.TestCase):
@classmethod
def setUpClass(cls):
import widgets_overview_app
cls.AppClass = widgets_overview_app.MyApp
def setUp(self):
self.AppClass.log_request = (lambda x,y:None)
def tearDown(self):
del self.AppClass.log_request
self.app.on_close()
def test_main(self):
self.app = self.AppClass(MockRequest(), ('0.0.0.0', 8888), MockServer())
root_widget = self.app.main()
html = root_widget.repr()
assertValidHTML(html)
if __name__ == '__main__':
unittest.main()
| 28.258317 | 80 | 0.643006 | 1,774 | 14,440 | 5.094701 | 0.076099 | 0.058863 | 0.082983 | 0.121708 | 0.824519 | 0.817106 | 0.817106 | 0.69241 | 0.679796 | 0.679796 | 0 | 0.018351 | 0.241482 | 14,440 | 510 | 81 | 28.313725 | 0.806811 | 0.003878 | 0 | 0.76 | 0 | 0 | 0.022389 | 0 | 0 | 0 | 0 | 0 | 0.0675 | 1 | 0.25 | false | 0 | 0.085 | 0 | 0.3975 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
092d32d44da07aec3c83f91200bb0e2412046fa6 | 93 | py | Python | src/roughsets_base/__init__.py | darekjk/roughsets-base | f63f0e064610b07517c686557a6be53439a6286e | [
"BSD-3-Clause"
] | 1 | 2022-02-05T21:23:14.000Z | 2022-02-05T21:23:14.000Z | src/roughsets_base/__init__.py | darekjk/roughsets-base | f63f0e064610b07517c686557a6be53439a6286e | [
"BSD-3-Clause"
] | 1 | 2022-02-23T09:10:27.000Z | 2022-03-09T19:30:36.000Z | src/roughsets_base/__init__.py | darekjk/roughsets-base | f63f0e064610b07517c686557a6be53439a6286e | [
"BSD-3-Clause"
] | null | null | null | """
"""
from roughsets_base.roughset_si import RoughSetSI
def setup():
pass
| 9.3 | 50 | 0.612903 | 10 | 93 | 5.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.27957 | 93 | 9 | 51 | 10.333333 | 0.820896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 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 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 6 |
09480d6fcdfb7975c08f8c6c7351598d26821af4 | 5,842 | py | Python | CS108FwUpgrade.py | cslrfid/CS108-Linux-Python-USB-App | a75faa410d4c439bbcc9bb0b3850478d6703f5d4 | [
"MIT"
] | null | null | null | CS108FwUpgrade.py | cslrfid/CS108-Linux-Python-USB-App | a75faa410d4c439bbcc9bb0b3850478d6703f5d4 | [
"MIT"
] | null | null | null | CS108FwUpgrade.py | cslrfid/CS108-Linux-Python-USB-App | a75faa410d4c439bbcc9bb0b3850478d6703f5d4 | [
"MIT"
] | null | null | null | import BTCommands
import SLCommands
import RFIDCommands
import USBSocket
import CRC
import HID
import utils
import Constants
def GetBTVersion(handle):
command = BTCommands.GetVersion()
if not USBSocket.TransmitData(handle, command):
print("Device failed to transmit data.")
return ""
if HID.IsOpen(handle):
status, buffer = USBSocket.ReceiveData(handle, 128, 2000)
if status:
if (buffer[0] == Constants.PREFIX) and (len(buffer) >= 13) and (buffer[8] == 0xC0) and (buffer[9] == 0x00):
crc = (buffer[6] << 8) | buffer[7]
if (crc != 0) and (not CRC.CheckCRC(buffer, 0, 13, crc)):
print("Wrong CRC received")
return ""
btVersion = "{}.{}.{}".format(buffer[10],buffer[11],buffer[12])
return btVersion
else:
print("Cannot get bluetooth firmware version")
return ""
else:
print("Device is not connected.")
return ""
def GetSLVersion(handle):
command = RFIDCommands.PowerOn(True)
if not USBSocket.TransmitData(handle, command):
print("Device failed to transmit data.")
return ""
if HID.IsOpen(handle):
USBSocket.ReceiveData(handle, 128, 2000)
else:
print("Device is not connected.")
return ""
command = SLCommands.GetVersion()
if not USBSocket.TransmitData(handle, command):
print("Device failed to transmit data.")
return ""
if HID.IsOpen(handle):
status, buffer = USBSocket.ReceiveData(handle, 128, 1000)
if status:
if (buffer[0] == Constants.PREFIX) and (len(buffer) >= 13) and (buffer[8] == 0xB0) and (buffer[9] == 0x00):
crc = (buffer[6] << 8) | buffer[7]
slVersion = "{}.{}.{}".format(buffer[10],buffer[11],buffer[12])
return slVersion
else:
print("Cannot get Silicon Labs (network processor) firmware version")
return ""
else:
print("Device is not connected.")
return ""
def UpdateBTImage(handle, stream):
if len(stream) != Constants.BT_IMAGE_SIZE:
print("Incorrect image file size.")
return False
subpart = 1
subpartBuffer = bytes(64)
command = bytes()
retry = 0
while True:
if retry == 0:
if len(stream) >=64:
subpartBuffer = stream[0:64]
stream = stream[64:]
else:
subpartBuffer = stream[0:]
stream = stream[0:]
if len(subpartBuffer) > 0:
command = BTCommands.SendImageData(subpartBuffer, subpart)
else:
print("Not enough image data.")
return False
if not USBSocket.TransmitData(handle, command):
print("Device failed to transmit data.")
return False
if HID.IsOpen(handle):
readBuffer = bytes(128)
status, readBuffer = USBSocket.ReceiveData(handle, len(readBuffer), 5000)
if status:
if (readBuffer[0] == Constants.PREFIX) and (len(readBuffer) >= 11) and (readBuffer[8] == 0xC0) and (readBuffer[9] == 0x01):
if readBuffer[10] == 1:
print("")
return False
elif readBuffer[10] == 2:
print("\rCompleted:100.0%")
utils.WaitForSeconds(15)
print("")
return True
else:
print("\rCompleted: {0:3.1f}%".format((subpart * 100) / Constants.BT_IMAGE_TOTAL_SUBPART), end="")
subpart+=1
retry = 0
else:
retry+=1
else:
retry+=1
else:
print("Device is not connected.")
return False
def UpdateSilabImage(handle, stream):
if len(stream) != Constants.SILAB_IMAGE_SIZE:
print("Incorrect image file size.")
return False
subpart = 1
subpartBuffer = bytes(114)
command = bytes()
retry = 0
while True:
if retry == 0:
if len(stream) >= 114:
subpartBuffer = stream[0:114]
stream = stream[114:]
else:
subpartBuffer = stream[0:]
stream = stream[0:]
if len(subpartBuffer) > 0:
command = SLCommands.SendImageData(subpartBuffer, subpart)
else:
print("Not enough image data.")
return False
if not USBSocket.TransmitData(handle, command):
print("Device failed to transmit data.")
return False
if HID.IsOpen(handle):
readBuffer = bytes(128)
status, readBuffer = USBSocket.ReceiveData(handle, len(readBuffer), 1000)
if status:
if (readBuffer[0] == Constants.PREFIX) and (len(readBuffer) >= 11) and (readBuffer[8] == 0xB0) and (readBuffer[9] == 0x01):
if readBuffer[10] == 1:
print("")
return False
elif readBuffer[10] == 2:
print("\rCompleted:100.0%")
utils.WaitForSeconds(15)
print("")
return True
else:
print("\rCompleted: {0:3.1f}%".format((subpart * 100) / Constants.SILAB_IMAGE_TOTAL_SUBPART), end="")
subpart+=1
retry = 0
else:
retry+=1
else:
retry+=1
else:
print("Device is not connected.")
return False | 33.00565 | 139 | 0.507189 | 566 | 5,842 | 5.217314 | 0.176678 | 0.033525 | 0.023705 | 0.044023 | 0.810362 | 0.797833 | 0.77616 | 0.764307 | 0.739926 | 0.739926 | 0 | 0.048679 | 0.384629 | 5,842 | 177 | 140 | 33.00565 | 0.77274 | 0 | 0 | 0.697368 | 0 | 0 | 0.099606 | 0 | 0 | 0 | 0.005477 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.052632 | 0 | 0.230263 | 0.164474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
118f474d0480650d5902aea6c9bb01964e146fd7 | 828,203 | py | Python | examples/grids/grid_uri/acdc/cigre_europe_residential.py | pydae/pydae | 8076bcfeb2cdc865a5fc58561ff8d246d0ed7d9d | [
"MIT"
] | 1 | 2020-12-20T03:45:26.000Z | 2020-12-20T03:45:26.000Z | examples/grids/grid_uri/acdc/cigre_europe_residential.py | pydae/pydae | 8076bcfeb2cdc865a5fc58561ff8d246d0ed7d9d | [
"MIT"
] | null | null | null | examples/grids/grid_uri/acdc/cigre_europe_residential.py | pydae/pydae | 8076bcfeb2cdc865a5fc58561ff8d246d0ed7d9d | [
"MIT"
] | null | null | null | import numpy as np
import numba
import scipy.optimize as sopt
import json
sin = np.sin
cos = np.cos
atan2 = np.arctan2
sqrt = np.sqrt
sign = np.sign
class cigre_europe_residential_class:
def __init__(self):
self.t_end = 10.000000
self.Dt = 0.0010000
self.decimation = 10.000000
self.itol = 1e-6
self.Dt_max = 0.001000
self.Dt_min = 0.001000
self.solvern = 5
self.imax = 100
self.N_x = 1
self.N_y = 192
self.N_z = 75
self.N_store = 10000
self.params_list = []
self.params_values_list = []
self.inputs_ini_list = ['v_R0_a_r', 'v_R0_a_i', 'v_R0_b_r', 'v_R0_b_i', 'v_R0_c_r', 'v_R0_c_i', 'i_R1_n_r', 'i_R1_n_i', 'i_R11_n_r', 'i_R11_n_i', 'i_R15_n_r', 'i_R15_n_i', 'i_R16_n_r', 'i_R16_n_i', 'i_R17_n_r', 'i_R17_n_i', 'i_R18_n_r', 'i_R18_n_i', 'i_R2_a_r', 'i_R2_a_i', 'i_R2_b_r', 'i_R2_b_i', 'i_R2_c_r', 'i_R2_c_i', 'i_R2_n_r', 'i_R2_n_i', 'i_R3_a_r', 'i_R3_a_i', 'i_R3_b_r', 'i_R3_b_i', 'i_R3_c_r', 'i_R3_c_i', 'i_R3_n_r', 'i_R3_n_i', 'i_R4_a_r', 'i_R4_a_i', 'i_R4_b_r', 'i_R4_b_i', 'i_R4_c_r', 'i_R4_c_i', 'i_R4_n_r', 'i_R4_n_i', 'i_R5_a_r', 'i_R5_a_i', 'i_R5_b_r', 'i_R5_b_i', 'i_R5_c_r', 'i_R5_c_i', 'i_R5_n_r', 'i_R5_n_i', 'i_R6_a_r', 'i_R6_a_i', 'i_R6_b_r', 'i_R6_b_i', 'i_R6_c_r', 'i_R6_c_i', 'i_R6_n_r', 'i_R6_n_i', 'i_R7_a_r', 'i_R7_a_i', 'i_R7_b_r', 'i_R7_b_i', 'i_R7_c_r', 'i_R7_c_i', 'i_R7_n_r', 'i_R7_n_i', 'i_R8_a_r', 'i_R8_a_i', 'i_R8_b_r', 'i_R8_b_i', 'i_R8_c_r', 'i_R8_c_i', 'i_R8_n_r', 'i_R8_n_i', 'i_R9_a_r', 'i_R9_a_i', 'i_R9_b_r', 'i_R9_b_i', 'i_R9_c_r', 'i_R9_c_i', 'i_R9_n_r', 'i_R9_n_i', 'i_R10_a_r', 'i_R10_a_i', 'i_R10_b_r', 'i_R10_b_i', 'i_R10_c_r', 'i_R10_c_i', 'i_R10_n_r', 'i_R10_n_i', 'i_R12_a_r', 'i_R12_a_i', 'i_R12_b_r', 'i_R12_b_i', 'i_R12_c_r', 'i_R12_c_i', 'i_R12_n_r', 'i_R12_n_i', 'i_R13_a_r', 'i_R13_a_i', 'i_R13_b_r', 'i_R13_b_i', 'i_R13_c_r', 'i_R13_c_i', 'i_R13_n_r', 'i_R13_n_i', 'i_R14_a_r', 'i_R14_a_i', 'i_R14_b_r', 'i_R14_b_i', 'i_R14_c_r', 'i_R14_c_i', 'i_R14_n_r', 'i_R14_n_i', 'p_R1_a', 'q_R1_a', 'p_R1_b', 'q_R1_b', 'p_R1_c', 'q_R1_c', 'p_R11_a', 'q_R11_a', 'p_R11_b', 'q_R11_b', 'p_R11_c', 'q_R11_c', 'p_R15_a', 'q_R15_a', 'p_R15_b', 'q_R15_b', 'p_R15_c', 'q_R15_c', 'p_R16_a', 'q_R16_a', 'p_R16_b', 'q_R16_b', 'p_R16_c', 'q_R16_c', 'p_R17_a', 'q_R17_a', 'p_R17_b', 'q_R17_b', 'p_R17_c', 'q_R17_c', 'p_R18_a', 'q_R18_a', 'p_R18_b', 'q_R18_b', 'p_R18_c', 'q_R18_c', 'u_dummy']
self.inputs_ini_values_list = [11547.0, 0.0, -5773.499999999997, -9999.995337498915, -5773.5000000000055, 9999.99533749891, -0.09573092305950581, -0.05176263183392393, 0.03349613217173264, -0.08864822266199468, 0.289193110283815, -0.6631425284034833, 0.31801456150255447, -0.731336080587738, 0.25964656089608695, -0.5863226597591904, 0.37187698558242843, -0.8354492691371007, 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, 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, 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, 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, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -63333.33332934399, -20816.659992987705, -63333.33332916311, -20816.659996175134, -63333.333340266174, -20816.659994915783, -4749.999999604653, -1561.2495000217793, -4749.999999120516, -1561.2494997951028, -4750.000001181899, -1561.2494989214567, -16466.666664188124, -5412.331607834456, -16466.6666573316, -5412.331601398246, -16466.666677806214, -5412.3315866955745, -17416.666664869645, -5724.58150295277, -17416.66666060417, -5724.581499896585, -17416.66667415847, -5724.581492313403, -11083.333332021662, -3642.915502488512, -11083.333328830442, -3642.9154999582215, -11083.333338913364, -3642.91549438302, -14883.33333153437, -4891.9151038076625, -14883.333326869077, -4891.9151000854745, -14883.33334127333, -4891.915091846954, 1.0]
self.inputs_run_list = ['v_R0_a_r', 'v_R0_a_i', 'v_R0_b_r', 'v_R0_b_i', 'v_R0_c_r', 'v_R0_c_i', 'i_R1_n_r', 'i_R1_n_i', 'i_R11_n_r', 'i_R11_n_i', 'i_R15_n_r', 'i_R15_n_i', 'i_R16_n_r', 'i_R16_n_i', 'i_R17_n_r', 'i_R17_n_i', 'i_R18_n_r', 'i_R18_n_i', 'i_R2_a_r', 'i_R2_a_i', 'i_R2_b_r', 'i_R2_b_i', 'i_R2_c_r', 'i_R2_c_i', 'i_R2_n_r', 'i_R2_n_i', 'i_R3_a_r', 'i_R3_a_i', 'i_R3_b_r', 'i_R3_b_i', 'i_R3_c_r', 'i_R3_c_i', 'i_R3_n_r', 'i_R3_n_i', 'i_R4_a_r', 'i_R4_a_i', 'i_R4_b_r', 'i_R4_b_i', 'i_R4_c_r', 'i_R4_c_i', 'i_R4_n_r', 'i_R4_n_i', 'i_R5_a_r', 'i_R5_a_i', 'i_R5_b_r', 'i_R5_b_i', 'i_R5_c_r', 'i_R5_c_i', 'i_R5_n_r', 'i_R5_n_i', 'i_R6_a_r', 'i_R6_a_i', 'i_R6_b_r', 'i_R6_b_i', 'i_R6_c_r', 'i_R6_c_i', 'i_R6_n_r', 'i_R6_n_i', 'i_R7_a_r', 'i_R7_a_i', 'i_R7_b_r', 'i_R7_b_i', 'i_R7_c_r', 'i_R7_c_i', 'i_R7_n_r', 'i_R7_n_i', 'i_R8_a_r', 'i_R8_a_i', 'i_R8_b_r', 'i_R8_b_i', 'i_R8_c_r', 'i_R8_c_i', 'i_R8_n_r', 'i_R8_n_i', 'i_R9_a_r', 'i_R9_a_i', 'i_R9_b_r', 'i_R9_b_i', 'i_R9_c_r', 'i_R9_c_i', 'i_R9_n_r', 'i_R9_n_i', 'i_R10_a_r', 'i_R10_a_i', 'i_R10_b_r', 'i_R10_b_i', 'i_R10_c_r', 'i_R10_c_i', 'i_R10_n_r', 'i_R10_n_i', 'i_R12_a_r', 'i_R12_a_i', 'i_R12_b_r', 'i_R12_b_i', 'i_R12_c_r', 'i_R12_c_i', 'i_R12_n_r', 'i_R12_n_i', 'i_R13_a_r', 'i_R13_a_i', 'i_R13_b_r', 'i_R13_b_i', 'i_R13_c_r', 'i_R13_c_i', 'i_R13_n_r', 'i_R13_n_i', 'i_R14_a_r', 'i_R14_a_i', 'i_R14_b_r', 'i_R14_b_i', 'i_R14_c_r', 'i_R14_c_i', 'i_R14_n_r', 'i_R14_n_i', 'p_R1_a', 'q_R1_a', 'p_R1_b', 'q_R1_b', 'p_R1_c', 'q_R1_c', 'p_R11_a', 'q_R11_a', 'p_R11_b', 'q_R11_b', 'p_R11_c', 'q_R11_c', 'p_R15_a', 'q_R15_a', 'p_R15_b', 'q_R15_b', 'p_R15_c', 'q_R15_c', 'p_R16_a', 'q_R16_a', 'p_R16_b', 'q_R16_b', 'p_R16_c', 'q_R16_c', 'p_R17_a', 'q_R17_a', 'p_R17_b', 'q_R17_b', 'p_R17_c', 'q_R17_c', 'p_R18_a', 'q_R18_a', 'p_R18_b', 'q_R18_b', 'p_R18_c', 'q_R18_c', 'u_dummy']
self.inputs_run_values_list = [11547.0, 0.0, -5773.499999999997, -9999.995337498915, -5773.5000000000055, 9999.99533749891, -0.09573092305950581, -0.05176263183392393, 0.03349613217173264, -0.08864822266199468, 0.289193110283815, -0.6631425284034833, 0.31801456150255447, -0.731336080587738, 0.25964656089608695, -0.5863226597591904, 0.37187698558242843, -0.8354492691371007, 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, 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, 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, 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, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -63333.33332934399, -20816.659992987705, -63333.33332916311, -20816.659996175134, -63333.333340266174, -20816.659994915783, -4749.999999604653, -1561.2495000217793, -4749.999999120516, -1561.2494997951028, -4750.000001181899, -1561.2494989214567, -16466.666664188124, -5412.331607834456, -16466.6666573316, -5412.331601398246, -16466.666677806214, -5412.3315866955745, -17416.666664869645, -5724.58150295277, -17416.66666060417, -5724.581499896585, -17416.66667415847, -5724.581492313403, -11083.333332021662, -3642.915502488512, -11083.333328830442, -3642.9154999582215, -11083.333338913364, -3642.91549438302, -14883.33333153437, -4891.9151038076625, -14883.333326869077, -4891.9151000854745, -14883.33334127333, -4891.915091846954, 1.0]
self.outputs_list = ['v_R0_a_m', 'v_R0_b_m', 'v_R0_c_m', 'v_R1_a_m', 'v_R1_b_m', 'v_R1_c_m', 'v_R1_n_m', 'v_R11_a_m', 'v_R11_b_m', 'v_R11_c_m', 'v_R11_n_m', 'v_R15_a_m', 'v_R15_b_m', 'v_R15_c_m', 'v_R15_n_m', 'v_R16_a_m', 'v_R16_b_m', 'v_R16_c_m', 'v_R16_n_m', 'v_R17_a_m', 'v_R17_b_m', 'v_R17_c_m', 'v_R17_n_m', 'v_R18_a_m', 'v_R18_b_m', 'v_R18_c_m', 'v_R18_n_m', 'v_R2_a_m', 'v_R2_b_m', 'v_R2_c_m', 'v_R2_n_m', 'v_R3_a_m', 'v_R3_b_m', 'v_R3_c_m', 'v_R3_n_m', 'v_R4_a_m', 'v_R4_b_m', 'v_R4_c_m', 'v_R4_n_m', 'v_R5_a_m', 'v_R5_b_m', 'v_R5_c_m', 'v_R5_n_m', 'v_R6_a_m', 'v_R6_b_m', 'v_R6_c_m', 'v_R6_n_m', 'v_R7_a_m', 'v_R7_b_m', 'v_R7_c_m', 'v_R7_n_m', 'v_R8_a_m', 'v_R8_b_m', 'v_R8_c_m', 'v_R8_n_m', 'v_R9_a_m', 'v_R9_b_m', 'v_R9_c_m', 'v_R9_n_m', 'v_R10_a_m', 'v_R10_b_m', 'v_R10_c_m', 'v_R10_n_m', 'v_R12_a_m', 'v_R12_b_m', 'v_R12_c_m', 'v_R12_n_m', 'v_R13_a_m', 'v_R13_b_m', 'v_R13_c_m', 'v_R13_n_m', 'v_R14_a_m', 'v_R14_b_m', 'v_R14_c_m', 'v_R14_n_m']
self.x_list = ['x_dummy']
self.y_run_list = ['v_R1_a_r', 'v_R1_a_i', 'v_R1_b_r', 'v_R1_b_i', 'v_R1_c_r', 'v_R1_c_i', 'v_R1_n_r', 'v_R1_n_i', 'v_R11_a_r', 'v_R11_a_i', 'v_R11_b_r', 'v_R11_b_i', 'v_R11_c_r', 'v_R11_c_i', 'v_R11_n_r', 'v_R11_n_i', 'v_R15_a_r', 'v_R15_a_i', 'v_R15_b_r', 'v_R15_b_i', 'v_R15_c_r', 'v_R15_c_i', 'v_R15_n_r', 'v_R15_n_i', 'v_R16_a_r', 'v_R16_a_i', 'v_R16_b_r', 'v_R16_b_i', 'v_R16_c_r', 'v_R16_c_i', 'v_R16_n_r', 'v_R16_n_i', 'v_R17_a_r', 'v_R17_a_i', 'v_R17_b_r', 'v_R17_b_i', 'v_R17_c_r', 'v_R17_c_i', 'v_R17_n_r', 'v_R17_n_i', 'v_R18_a_r', 'v_R18_a_i', 'v_R18_b_r', 'v_R18_b_i', 'v_R18_c_r', 'v_R18_c_i', 'v_R18_n_r', 'v_R18_n_i', 'v_R2_a_r', 'v_R2_a_i', 'v_R2_b_r', 'v_R2_b_i', 'v_R2_c_r', 'v_R2_c_i', 'v_R2_n_r', 'v_R2_n_i', 'v_R3_a_r', 'v_R3_a_i', 'v_R3_b_r', 'v_R3_b_i', 'v_R3_c_r', 'v_R3_c_i', 'v_R3_n_r', 'v_R3_n_i', 'v_R4_a_r', 'v_R4_a_i', 'v_R4_b_r', 'v_R4_b_i', 'v_R4_c_r', 'v_R4_c_i', 'v_R4_n_r', 'v_R4_n_i', 'v_R5_a_r', 'v_R5_a_i', 'v_R5_b_r', 'v_R5_b_i', 'v_R5_c_r', 'v_R5_c_i', 'v_R5_n_r', 'v_R5_n_i', 'v_R6_a_r', 'v_R6_a_i', 'v_R6_b_r', 'v_R6_b_i', 'v_R6_c_r', 'v_R6_c_i', 'v_R6_n_r', 'v_R6_n_i', 'v_R7_a_r', 'v_R7_a_i', 'v_R7_b_r', 'v_R7_b_i', 'v_R7_c_r', 'v_R7_c_i', 'v_R7_n_r', 'v_R7_n_i', 'v_R8_a_r', 'v_R8_a_i', 'v_R8_b_r', 'v_R8_b_i', 'v_R8_c_r', 'v_R8_c_i', 'v_R8_n_r', 'v_R8_n_i', 'v_R9_a_r', 'v_R9_a_i', 'v_R9_b_r', 'v_R9_b_i', 'v_R9_c_r', 'v_R9_c_i', 'v_R9_n_r', 'v_R9_n_i', 'v_R10_a_r', 'v_R10_a_i', 'v_R10_b_r', 'v_R10_b_i', 'v_R10_c_r', 'v_R10_c_i', 'v_R10_n_r', 'v_R10_n_i', 'v_R12_a_r', 'v_R12_a_i', 'v_R12_b_r', 'v_R12_b_i', 'v_R12_c_r', 'v_R12_c_i', 'v_R12_n_r', 'v_R12_n_i', 'v_R13_a_r', 'v_R13_a_i', 'v_R13_b_r', 'v_R13_b_i', 'v_R13_c_r', 'v_R13_c_i', 'v_R13_n_r', 'v_R13_n_i', 'v_R14_a_r', 'v_R14_a_i', 'v_R14_b_r', 'v_R14_b_i', 'v_R14_c_r', 'v_R14_c_i', 'v_R14_n_r', 'v_R14_n_i', 'i_R1_a_r', 'i_R1_a_i', 'i_R1_b_r', 'i_R1_b_i', 'i_R1_c_r', 'i_R1_c_i', 'i_R1_n_r', 'i_R1_n_i', 'i_R11_a_r', 'i_R11_a_i', 'i_R11_b_r', 'i_R11_b_i', 'i_R11_c_r', 'i_R11_c_i', 'i_R11_n_r', 'i_R11_n_i', 'i_R15_a_r', 'i_R15_a_i', 'i_R15_b_r', 'i_R15_b_i', 'i_R15_c_r', 'i_R15_c_i', 'i_R15_n_r', 'i_R15_n_i', 'i_R16_a_r', 'i_R16_a_i', 'i_R16_b_r', 'i_R16_b_i', 'i_R16_c_r', 'i_R16_c_i', 'i_R16_n_r', 'i_R16_n_i', 'i_R17_a_r', 'i_R17_a_i', 'i_R17_b_r', 'i_R17_b_i', 'i_R17_c_r', 'i_R17_c_i', 'i_R17_n_r', 'i_R17_n_i', 'i_R18_a_r', 'i_R18_a_i', 'i_R18_b_r', 'i_R18_b_i', 'i_R18_c_r', 'i_R18_c_i', 'i_R18_n_r', 'i_R18_n_i']
self.xy_list = self.x_list + self.y_run_list
self.y_ini_list = ['v_R1_a_r', 'v_R1_a_i', 'v_R1_b_r', 'v_R1_b_i', 'v_R1_c_r', 'v_R1_c_i', 'v_R1_n_r', 'v_R1_n_i', 'v_R11_a_r', 'v_R11_a_i', 'v_R11_b_r', 'v_R11_b_i', 'v_R11_c_r', 'v_R11_c_i', 'v_R11_n_r', 'v_R11_n_i', 'v_R15_a_r', 'v_R15_a_i', 'v_R15_b_r', 'v_R15_b_i', 'v_R15_c_r', 'v_R15_c_i', 'v_R15_n_r', 'v_R15_n_i', 'v_R16_a_r', 'v_R16_a_i', 'v_R16_b_r', 'v_R16_b_i', 'v_R16_c_r', 'v_R16_c_i', 'v_R16_n_r', 'v_R16_n_i', 'v_R17_a_r', 'v_R17_a_i', 'v_R17_b_r', 'v_R17_b_i', 'v_R17_c_r', 'v_R17_c_i', 'v_R17_n_r', 'v_R17_n_i', 'v_R18_a_r', 'v_R18_a_i', 'v_R18_b_r', 'v_R18_b_i', 'v_R18_c_r', 'v_R18_c_i', 'v_R18_n_r', 'v_R18_n_i', 'v_R2_a_r', 'v_R2_a_i', 'v_R2_b_r', 'v_R2_b_i', 'v_R2_c_r', 'v_R2_c_i', 'v_R2_n_r', 'v_R2_n_i', 'v_R3_a_r', 'v_R3_a_i', 'v_R3_b_r', 'v_R3_b_i', 'v_R3_c_r', 'v_R3_c_i', 'v_R3_n_r', 'v_R3_n_i', 'v_R4_a_r', 'v_R4_a_i', 'v_R4_b_r', 'v_R4_b_i', 'v_R4_c_r', 'v_R4_c_i', 'v_R4_n_r', 'v_R4_n_i', 'v_R5_a_r', 'v_R5_a_i', 'v_R5_b_r', 'v_R5_b_i', 'v_R5_c_r', 'v_R5_c_i', 'v_R5_n_r', 'v_R5_n_i', 'v_R6_a_r', 'v_R6_a_i', 'v_R6_b_r', 'v_R6_b_i', 'v_R6_c_r', 'v_R6_c_i', 'v_R6_n_r', 'v_R6_n_i', 'v_R7_a_r', 'v_R7_a_i', 'v_R7_b_r', 'v_R7_b_i', 'v_R7_c_r', 'v_R7_c_i', 'v_R7_n_r', 'v_R7_n_i', 'v_R8_a_r', 'v_R8_a_i', 'v_R8_b_r', 'v_R8_b_i', 'v_R8_c_r', 'v_R8_c_i', 'v_R8_n_r', 'v_R8_n_i', 'v_R9_a_r', 'v_R9_a_i', 'v_R9_b_r', 'v_R9_b_i', 'v_R9_c_r', 'v_R9_c_i', 'v_R9_n_r', 'v_R9_n_i', 'v_R10_a_r', 'v_R10_a_i', 'v_R10_b_r', 'v_R10_b_i', 'v_R10_c_r', 'v_R10_c_i', 'v_R10_n_r', 'v_R10_n_i', 'v_R12_a_r', 'v_R12_a_i', 'v_R12_b_r', 'v_R12_b_i', 'v_R12_c_r', 'v_R12_c_i', 'v_R12_n_r', 'v_R12_n_i', 'v_R13_a_r', 'v_R13_a_i', 'v_R13_b_r', 'v_R13_b_i', 'v_R13_c_r', 'v_R13_c_i', 'v_R13_n_r', 'v_R13_n_i', 'v_R14_a_r', 'v_R14_a_i', 'v_R14_b_r', 'v_R14_b_i', 'v_R14_c_r', 'v_R14_c_i', 'v_R14_n_r', 'v_R14_n_i', 'i_R1_a_r', 'i_R1_a_i', 'i_R1_b_r', 'i_R1_b_i', 'i_R1_c_r', 'i_R1_c_i', 'i_R1_n_r', 'i_R1_n_i', 'i_R11_a_r', 'i_R11_a_i', 'i_R11_b_r', 'i_R11_b_i', 'i_R11_c_r', 'i_R11_c_i', 'i_R11_n_r', 'i_R11_n_i', 'i_R15_a_r', 'i_R15_a_i', 'i_R15_b_r', 'i_R15_b_i', 'i_R15_c_r', 'i_R15_c_i', 'i_R15_n_r', 'i_R15_n_i', 'i_R16_a_r', 'i_R16_a_i', 'i_R16_b_r', 'i_R16_b_i', 'i_R16_c_r', 'i_R16_c_i', 'i_R16_n_r', 'i_R16_n_i', 'i_R17_a_r', 'i_R17_a_i', 'i_R17_b_r', 'i_R17_b_i', 'i_R17_c_r', 'i_R17_c_i', 'i_R17_n_r', 'i_R17_n_i', 'i_R18_a_r', 'i_R18_a_i', 'i_R18_b_r', 'i_R18_b_i', 'i_R18_c_r', 'i_R18_c_i', 'i_R18_n_r', 'i_R18_n_i']
self.xy_ini_list = self.x_list + self.y_ini_list
self.t = 0.0
self.it = 0
self.it_store = 0
self.xy_prev = np.zeros((self.N_x+self.N_y,1))
self.initialization_tol = 1e-6
self.N_u = len(self.inputs_run_list)
self.sopt_root_method='hybr'
self.sopt_root_jac=True
self.u_ini_list = self.inputs_ini_list
self.u_ini_values_list = self.inputs_ini_values_list
self.u_run_list = self.inputs_run_list
self.u_run_values_list = self.inputs_run_values_list
self.N_u = len(self.u_run_list)
self.update()
def update(self):
self.N_steps = int(np.ceil(self.t_end/self.Dt))
dt = [
('t_end', np.float64),
('Dt', np.float64),
('decimation', np.float64),
('itol', np.float64),
('Dt_max', np.float64),
('Dt_min', np.float64),
('solvern', np.int64),
('imax', np.int64),
('N_steps', np.int64),
('N_store', np.int64),
('N_x', np.int64),
('N_y', np.int64),
('N_z', np.int64),
('t', np.float64),
('it', np.int64),
('it_store', np.int64),
('idx', np.int64),
('idy', np.int64),
('f', np.float64, (self.N_x,1)),
('x', np.float64, (self.N_x,1)),
('x_0', np.float64, (self.N_x,1)),
('g', np.float64, (self.N_y,1)),
('y_run', np.float64, (self.N_y,1)),
('y_ini', np.float64, (self.N_y,1)),
('u_run', np.float64, (self.N_u,1)),
('y_0', np.float64, (self.N_y,1)),
('h', np.float64, (self.N_z,1)),
('Fx', np.float64, (self.N_x,self.N_x)),
('Fy', np.float64, (self.N_x,self.N_y)),
('Gx', np.float64, (self.N_y,self.N_x)),
('Gy', np.float64, (self.N_y,self.N_y)),
('Fu', np.float64, (self.N_x,self.N_u)),
('Gu', np.float64, (self.N_y,self.N_u)),
('Hx', np.float64, (self.N_z,self.N_x)),
('Hy', np.float64, (self.N_z,self.N_y)),
('Hu', np.float64, (self.N_z,self.N_u)),
('Fx_ini', np.float64, (self.N_x,self.N_x)),
('Fy_ini', np.float64, (self.N_x,self.N_y)),
('Gx_ini', np.float64, (self.N_y,self.N_x)),
('Gy_ini', np.float64, (self.N_y,self.N_y)),
('T', np.float64, (self.N_store+1,1)),
('X', np.float64, (self.N_store+1,self.N_x)),
('Y', np.float64, (self.N_store+1,self.N_y)),
('Z', np.float64, (self.N_store+1,self.N_z)),
('iters', np.float64, (self.N_store+1,1)),
('store', np.int64),
]
values = [
self.t_end,
self.Dt,
self.decimation,
self.itol,
self.Dt_max,
self.Dt_min,
self.solvern,
self.imax,
self.N_steps,
self.N_store,
self.N_x,
self.N_y,
self.N_z,
self.t,
self.it,
self.it_store,
0, # idx
0, # idy
np.zeros((self.N_x,1)), # f
np.zeros((self.N_x,1)), # x
np.zeros((self.N_x,1)), # x_0
np.zeros((self.N_y,1)), # g
np.zeros((self.N_y,1)), # y_run
np.zeros((self.N_y,1)), # y_ini
np.zeros((self.N_u,1)), # u_run
np.zeros((self.N_y,1)), # y_0
np.zeros((self.N_z,1)), # h
np.zeros((self.N_x,self.N_x)), # Fx
np.zeros((self.N_x,self.N_y)), # Fy
np.zeros((self.N_y,self.N_x)), # Gx
np.zeros((self.N_y,self.N_y)), # Fy
np.zeros((self.N_x,self.N_u)), # Fu
np.zeros((self.N_y,self.N_u)), # Gu
np.zeros((self.N_z,self.N_x)), # Hx
np.zeros((self.N_z,self.N_y)), # Hy
np.zeros((self.N_z,self.N_u)), # Hu
np.zeros((self.N_x,self.N_x)), # Fx_ini
np.zeros((self.N_x,self.N_y)), # Fy_ini
np.zeros((self.N_y,self.N_x)), # Gx_ini
np.zeros((self.N_y,self.N_y)), # Fy_ini
np.zeros((self.N_store+1,1)), # T
np.zeros((self.N_store+1,self.N_x)), # X
np.zeros((self.N_store+1,self.N_y)), # Y
np.zeros((self.N_store+1,self.N_z)), # Z
np.zeros((self.N_store+1,1)), # iters
1,
]
dt += [(item,np.float64) for item in self.params_list]
values += [item for item in self.params_values_list]
for item_id,item_val in zip(self.inputs_ini_list,self.inputs_ini_values_list):
if item_id in self.inputs_run_list: continue
dt += [(item_id,np.float64)]
values += [item_val]
dt += [(item,np.float64) for item in self.inputs_run_list]
values += [item for item in self.inputs_run_values_list]
self.struct = np.rec.array([tuple(values)], dtype=np.dtype(dt))
xy0 = np.zeros((self.N_x+self.N_y,))
self.ini_dae_jacobian_nn(xy0)
self.run_dae_jacobian_nn(xy0)
def load_params(self,data_input):
if type(data_input) == str:
json_file = data_input
self.json_file = json_file
self.json_data = open(json_file).read().replace("'",'"')
data = json.loads(self.json_data)
elif type(data_input) == dict:
data = data_input
self.data = data
for item in self.data:
self.struct[0][item] = self.data[item]
self.params_values_list[self.params_list.index(item)] = self.data[item]
def ini_problem(self,x):
self.struct[0].x[:,0] = x[0:self.N_x]
self.struct[0].y_ini[:,0] = x[self.N_x:(self.N_x+self.N_y)]
if self.compile:
ini(self.struct,2)
ini(self.struct,3)
else:
ini.py_func(self.struct,2)
ini.py_func(self.struct,3)
fg = np.vstack((self.struct[0].f,self.struct[0].g))[:,0]
return fg
def run_problem(self,x):
t = self.struct[0].t
self.struct[0].x[:,0] = x[0:self.N_x]
self.struct[0].y_run[:,0] = x[self.N_x:(self.N_x+self.N_y)]
if self.compile:
run(t,self.struct,2)
run(t,self.struct,3)
run(t,self.struct,10)
run(t,self.struct,11)
run(t,self.struct,12)
run(t,self.struct,13)
else:
run.py_func(t,self.struct,2)
run.py_func(t,self.struct,3)
run.py_func(t,self.struct,10)
run.py_func(t,self.struct,11)
run.py_func(t,self.struct,12)
run.py_func(t,self.struct,13)
fg = np.vstack((self.struct[0].f,self.struct[0].g))[:,0]
return fg
def run_dae_jacobian(self,x):
self.struct[0].x[:,0] = x[0:self.N_x]
self.struct[0].y_run[:,0] = x[self.N_x:(self.N_x+self.N_y)]
run(0.0,self.struct,10)
run(0.0,self.struct,11)
run(0.0,self.struct,12)
run(0.0,self.struct,13)
A_c = np.block([[self.struct[0].Fx,self.struct[0].Fy],
[self.struct[0].Gx,self.struct[0].Gy]])
return A_c
def run_dae_jacobian_nn(self,x):
self.struct[0].x[:,0] = x[0:self.N_x]
self.struct[0].y_run[:,0] = x[self.N_x:(self.N_x+self.N_y)]
run_nn(0.0,self.struct,10)
run_nn(0.0,self.struct,11)
run_nn(0.0,self.struct,12)
run_nn(0.0,self.struct,13)
def eval_jacobians(self):
run(0.0,self.struct,10)
run(0.0,self.struct,11)
run(0.0,self.struct,12)
return 1
def ini_dae_jacobian(self,x):
self.struct[0].x[:,0] = x[0:self.N_x]
self.struct[0].y_ini[:,0] = x[self.N_x:(self.N_x+self.N_y)]
if self.compile:
ini(self.struct,10)
ini(self.struct,11)
else:
ini.py_func(self.struct,10)
ini.py_func(self.struct,11)
A_c = np.block([[self.struct[0].Fx_ini,self.struct[0].Fy_ini],
[self.struct[0].Gx_ini,self.struct[0].Gy_ini]])
return A_c
def ini_dae_jacobian_nn(self,x):
self.struct[0].x[:,0] = x[0:self.N_x]
self.struct[0].y_ini[:,0] = x[self.N_x:(self.N_x+self.N_y)]
ini_nn(self.struct,10)
ini_nn(self.struct,11)
def f_ode(self,x):
self.struct[0].x[:,0] = x
run(self.struct,1)
return self.struct[0].f[:,0]
def f_odeint(self,x,t):
self.struct[0].x[:,0] = x
run(self.struct,1)
return self.struct[0].f[:,0]
def f_ivp(self,t,x):
self.struct[0].x[:,0] = x
run(self.struct,1)
return self.struct[0].f[:,0]
def Fx_ode(self,x):
self.struct[0].x[:,0] = x
run(self.struct,10)
return self.struct[0].Fx
def eval_A(self):
Fx = self.struct[0].Fx
Fy = self.struct[0].Fy
Gx = self.struct[0].Gx
Gy = self.struct[0].Gy
A = Fx - Fy @ np.linalg.solve(Gy,Gx)
self.A = A
return A
def eval_A_ini(self):
Fx = self.struct[0].Fx_ini
Fy = self.struct[0].Fy_ini
Gx = self.struct[0].Gx_ini
Gy = self.struct[0].Gy_ini
A = Fx - Fy @ np.linalg.solve(Gy,Gx)
return A
def reset(self):
for param,param_value in zip(self.params_list,self.params_values_list):
self.struct[0][param] = param_value
for input_name,input_value in zip(self.inputs_ini_list,self.inputs_ini_values_list):
self.struct[0][input_name] = input_value
for input_name,input_value in zip(self.inputs_run_list,self.inputs_run_values_list):
self.struct[0][input_name] = input_value
def simulate(self,events,xy0=0):
# initialize both the ini and the run system
self.initialize(events,xy0=xy0)
# simulation run
for event in events:
# make all the desired changes
self.run([event])
# post process
T,X,Y,Z = self.post()
return T,X,Y,Z
def run(self,events):
# simulation run
for event in events:
# make all the desired changes
for item in event:
self.struct[0][item] = event[item]
daesolver(self.struct) # run until next event
return 1
def rtrun(self,events):
# simulation run
for event in events:
# make all the desired changes
for item in event:
self.struct[0][item] = event[item]
self.struct[0].it_store = self.struct[0].N_store-1
daesolver(self.struct) # run until next event
return 1
def post(self):
# post process result
T = self.struct[0]['T'][:self.struct[0].it_store]
X = self.struct[0]['X'][:self.struct[0].it_store,:]
Y = self.struct[0]['Y'][:self.struct[0].it_store,:]
Z = self.struct[0]['Z'][:self.struct[0].it_store,:]
iters = self.struct[0]['iters'][:self.struct[0].it_store,:]
self.T = T
self.X = X
self.Y = Y
self.Z = Z
self.iters = iters
return T,X,Y,Z
def save_0(self,file_name = 'xy_0.json'):
xy_0_dict = {}
for item in self.x_list:
xy_0_dict.update({item:self.get_value(item)})
for item in self.y_ini_list:
xy_0_dict.update({item:self.get_value(item)})
xy_0_str = json.dumps(xy_0_dict, indent=4)
with open(file_name,'w') as fobj:
fobj.write(xy_0_str)
def load_0(self,file_name = 'xy_0.json'):
with open(file_name) as fobj:
xy_0_str = fobj.read()
xy_0_dict = json.loads(xy_0_str)
for item in xy_0_dict:
if item in self.x_list:
self.xy_prev[self.x_list.index(item)] = xy_0_dict[item]
if item in self.y_ini_list:
self.xy_prev[self.y_ini_list.index(item)+self.N_x] = xy_0_dict[item]
def initialize(self,events=[{}],xy0=0,compile=True):
'''
Parameters
----------
events : dictionary
Dictionary with at least 't_end' and all inputs and parameters
that need to be changed.
xy0 : float or string, optional
0 means all states should be zero as initial guess.
If not zero all the states initial guess are the given input.
If 'prev' it uses the last known initialization result as initial guess.
Returns
-------
T : TYPE
DESCRIPTION.
X : TYPE
DESCRIPTION.
Y : TYPE
DESCRIPTION.
Z : TYPE
DESCRIPTION.
'''
self.compile = compile
# simulation parameters
self.struct[0].it = 0 # set time step to zero
self.struct[0].it_store = 0 # set storage to zero
self.struct[0].t = 0.0 # set time to zero
# initialization
it_event = 0
event = events[it_event]
for item in event:
self.struct[0][item] = event[item]
## compute initial conditions using x and y_ini
if type(xy0) == str:
if xy0 == 'prev':
xy0 = self.xy_prev
else:
self.load_0(xy0)
xy0 = self.xy_prev
elif type(xy0) == dict:
with open('xy_0.json','w') as fobj:
fobj.write(json.dumps(xy0))
self.load_0('xy_0.json')
xy0 = self.xy_prev
else:
if xy0 == 0:
xy0 = np.zeros(self.N_x+self.N_y)
elif xy0 == 1:
xy0 = np.ones(self.N_x+self.N_y)
else:
xy0 = xy0*np.ones(self.N_x+self.N_y)
#xy = sopt.fsolve(self.ini_problem,xy0, jac=self.ini_dae_jacobian )
if self.sopt_root_jac:
sol = sopt.root(self.ini_problem, xy0,
jac=self.ini_dae_jacobian,
method=self.sopt_root_method, tol=self.initialization_tol)
else:
sol = sopt.root(self.ini_problem, xy0, method=self.sopt_root_method)
self.initialization_ok = True
if sol.success == False:
print('initialization not found!')
self.initialization_ok = False
T = self.struct[0]['T'][:self.struct[0].it_store]
X = self.struct[0]['X'][:self.struct[0].it_store,:]
Y = self.struct[0]['Y'][:self.struct[0].it_store,:]
Z = self.struct[0]['Z'][:self.struct[0].it_store,:]
iters = self.struct[0]['iters'][:self.struct[0].it_store,:]
if self.initialization_ok:
xy = sol.x
self.xy_prev = xy
self.struct[0].x[:,0] = xy[0:self.N_x]
self.struct[0].y_run[:,0] = xy[self.N_x:]
## y_ini to u_run
for item in self.inputs_run_list:
if item in self.y_ini_list:
self.struct[0][item] = self.struct[0].y_ini[self.y_ini_list.index(item)]
## u_ini to y_run
for item in self.inputs_ini_list:
if item in self.y_run_list:
self.struct[0].y_run[self.y_run_list.index(item)] = self.struct[0][item]
#xy = sopt.fsolve(self.ini_problem,xy0, jac=self.ini_dae_jacobian )
if self.sopt_root_jac:
sol = sopt.root(self.run_problem, xy0,
jac=self.run_dae_jacobian,
method=self.sopt_root_method, tol=self.initialization_tol)
else:
sol = sopt.root(self.run_problem, xy0, method=self.sopt_root_method)
if self.compile:
# evaluate f and g
run(0.0,self.struct,2)
run(0.0,self.struct,3)
# evaluate run jacobians
run(0.0,self.struct,10)
run(0.0,self.struct,11)
run(0.0,self.struct,12)
run(0.0,self.struct,14)
else:
# evaluate f and g
run.py_func(0.0,self.struct,2)
run.py_func(0.0,self.struct,3)
# evaluate run jacobians
run.py_func(0.0,self.struct,10)
run.py_func(0.0,self.struct,11)
run.py_func(0.0,self.struct,12)
run.py_func(0.0,self.struct,14)
# post process result
T = self.struct[0]['T'][:self.struct[0].it_store]
X = self.struct[0]['X'][:self.struct[0].it_store,:]
Y = self.struct[0]['Y'][:self.struct[0].it_store,:]
Z = self.struct[0]['Z'][:self.struct[0].it_store,:]
iters = self.struct[0]['iters'][:self.struct[0].it_store,:]
self.T = T
self.X = X
self.Y = Y
self.Z = Z
self.iters = iters
return self.initialization_ok
def get_value(self,name):
if name in self.inputs_run_list:
value = self.struct[0][name]
if name in self.x_list:
idx = self.x_list.index(name)
value = self.struct[0].x[idx,0]
if name in self.y_run_list:
idy = self.y_run_list.index(name)
value = self.struct[0].y_run[idy,0]
if name in self.params_list:
value = self.struct[0][name]
if name in self.outputs_list:
value = self.struct[0].h[self.outputs_list.index(name),0]
return value
def get_values(self,name):
if name in self.x_list:
values = self.X[:,self.x_list.index(name)]
if name in self.y_run_list:
values = self.Y[:,self.y_run_list.index(name)]
if name in self.outputs_list:
values = self.Z[:,self.outputs_list.index(name)]
return values
def get_mvalue(self,names):
'''
Parameters
----------
names : list
list of variables names to return each value.
Returns
-------
mvalue : TYPE
list of value of each variable.
'''
mvalue = []
for name in names:
mvalue += [self.get_value(name)]
return mvalue
def set_value(self,name,value):
if name in self.inputs_run_list:
self.struct[0][name] = value
if name in self.params_list:
self.struct[0][name] = value
def report_x(self,value_format='5.2f'):
for item in self.x_list:
print(f'{item:5s} = {self.get_value(item):5.2f}')
def report_y(self,value_format='5.2f'):
for item in self.y_run_list:
print(f'{item:5s} = {self.get_value(item):5.2f}')
def report_u(self,value_format='5.2f'):
for item in self.inputs_run_list:
print(f'{item:5s} = {self.get_value(item):5.2f}')
def report_z(self,value_format='5.2f'):
for item in self.outputs_list:
print(f'{item:5s} = {self.get_value(item):5.2f}')
def report_params(self,value_format='5.2f'):
for item in self.params_list:
print(f'{item:5s} = {self.get_value(item):5.2f}')
def get_x(self):
return self.struct[0].x
@numba.njit(cache=True)
def ini(struct,mode):
# Parameters:
# Inputs:
v_R0_a_r = struct[0].v_R0_a_r
v_R0_a_i = struct[0].v_R0_a_i
v_R0_b_r = struct[0].v_R0_b_r
v_R0_b_i = struct[0].v_R0_b_i
v_R0_c_r = struct[0].v_R0_c_r
v_R0_c_i = struct[0].v_R0_c_i
i_R1_n_r = struct[0].i_R1_n_r
i_R1_n_i = struct[0].i_R1_n_i
i_R11_n_r = struct[0].i_R11_n_r
i_R11_n_i = struct[0].i_R11_n_i
i_R15_n_r = struct[0].i_R15_n_r
i_R15_n_i = struct[0].i_R15_n_i
i_R16_n_r = struct[0].i_R16_n_r
i_R16_n_i = struct[0].i_R16_n_i
i_R17_n_r = struct[0].i_R17_n_r
i_R17_n_i = struct[0].i_R17_n_i
i_R18_n_r = struct[0].i_R18_n_r
i_R18_n_i = struct[0].i_R18_n_i
i_R2_a_r = struct[0].i_R2_a_r
i_R2_a_i = struct[0].i_R2_a_i
i_R2_b_r = struct[0].i_R2_b_r
i_R2_b_i = struct[0].i_R2_b_i
i_R2_c_r = struct[0].i_R2_c_r
i_R2_c_i = struct[0].i_R2_c_i
i_R2_n_r = struct[0].i_R2_n_r
i_R2_n_i = struct[0].i_R2_n_i
i_R3_a_r = struct[0].i_R3_a_r
i_R3_a_i = struct[0].i_R3_a_i
i_R3_b_r = struct[0].i_R3_b_r
i_R3_b_i = struct[0].i_R3_b_i
i_R3_c_r = struct[0].i_R3_c_r
i_R3_c_i = struct[0].i_R3_c_i
i_R3_n_r = struct[0].i_R3_n_r
i_R3_n_i = struct[0].i_R3_n_i
i_R4_a_r = struct[0].i_R4_a_r
i_R4_a_i = struct[0].i_R4_a_i
i_R4_b_r = struct[0].i_R4_b_r
i_R4_b_i = struct[0].i_R4_b_i
i_R4_c_r = struct[0].i_R4_c_r
i_R4_c_i = struct[0].i_R4_c_i
i_R4_n_r = struct[0].i_R4_n_r
i_R4_n_i = struct[0].i_R4_n_i
i_R5_a_r = struct[0].i_R5_a_r
i_R5_a_i = struct[0].i_R5_a_i
i_R5_b_r = struct[0].i_R5_b_r
i_R5_b_i = struct[0].i_R5_b_i
i_R5_c_r = struct[0].i_R5_c_r
i_R5_c_i = struct[0].i_R5_c_i
i_R5_n_r = struct[0].i_R5_n_r
i_R5_n_i = struct[0].i_R5_n_i
i_R6_a_r = struct[0].i_R6_a_r
i_R6_a_i = struct[0].i_R6_a_i
i_R6_b_r = struct[0].i_R6_b_r
i_R6_b_i = struct[0].i_R6_b_i
i_R6_c_r = struct[0].i_R6_c_r
i_R6_c_i = struct[0].i_R6_c_i
i_R6_n_r = struct[0].i_R6_n_r
i_R6_n_i = struct[0].i_R6_n_i
i_R7_a_r = struct[0].i_R7_a_r
i_R7_a_i = struct[0].i_R7_a_i
i_R7_b_r = struct[0].i_R7_b_r
i_R7_b_i = struct[0].i_R7_b_i
i_R7_c_r = struct[0].i_R7_c_r
i_R7_c_i = struct[0].i_R7_c_i
i_R7_n_r = struct[0].i_R7_n_r
i_R7_n_i = struct[0].i_R7_n_i
i_R8_a_r = struct[0].i_R8_a_r
i_R8_a_i = struct[0].i_R8_a_i
i_R8_b_r = struct[0].i_R8_b_r
i_R8_b_i = struct[0].i_R8_b_i
i_R8_c_r = struct[0].i_R8_c_r
i_R8_c_i = struct[0].i_R8_c_i
i_R8_n_r = struct[0].i_R8_n_r
i_R8_n_i = struct[0].i_R8_n_i
i_R9_a_r = struct[0].i_R9_a_r
i_R9_a_i = struct[0].i_R9_a_i
i_R9_b_r = struct[0].i_R9_b_r
i_R9_b_i = struct[0].i_R9_b_i
i_R9_c_r = struct[0].i_R9_c_r
i_R9_c_i = struct[0].i_R9_c_i
i_R9_n_r = struct[0].i_R9_n_r
i_R9_n_i = struct[0].i_R9_n_i
i_R10_a_r = struct[0].i_R10_a_r
i_R10_a_i = struct[0].i_R10_a_i
i_R10_b_r = struct[0].i_R10_b_r
i_R10_b_i = struct[0].i_R10_b_i
i_R10_c_r = struct[0].i_R10_c_r
i_R10_c_i = struct[0].i_R10_c_i
i_R10_n_r = struct[0].i_R10_n_r
i_R10_n_i = struct[0].i_R10_n_i
i_R12_a_r = struct[0].i_R12_a_r
i_R12_a_i = struct[0].i_R12_a_i
i_R12_b_r = struct[0].i_R12_b_r
i_R12_b_i = struct[0].i_R12_b_i
i_R12_c_r = struct[0].i_R12_c_r
i_R12_c_i = struct[0].i_R12_c_i
i_R12_n_r = struct[0].i_R12_n_r
i_R12_n_i = struct[0].i_R12_n_i
i_R13_a_r = struct[0].i_R13_a_r
i_R13_a_i = struct[0].i_R13_a_i
i_R13_b_r = struct[0].i_R13_b_r
i_R13_b_i = struct[0].i_R13_b_i
i_R13_c_r = struct[0].i_R13_c_r
i_R13_c_i = struct[0].i_R13_c_i
i_R13_n_r = struct[0].i_R13_n_r
i_R13_n_i = struct[0].i_R13_n_i
i_R14_a_r = struct[0].i_R14_a_r
i_R14_a_i = struct[0].i_R14_a_i
i_R14_b_r = struct[0].i_R14_b_r
i_R14_b_i = struct[0].i_R14_b_i
i_R14_c_r = struct[0].i_R14_c_r
i_R14_c_i = struct[0].i_R14_c_i
i_R14_n_r = struct[0].i_R14_n_r
i_R14_n_i = struct[0].i_R14_n_i
p_R1_a = struct[0].p_R1_a
q_R1_a = struct[0].q_R1_a
p_R1_b = struct[0].p_R1_b
q_R1_b = struct[0].q_R1_b
p_R1_c = struct[0].p_R1_c
q_R1_c = struct[0].q_R1_c
p_R11_a = struct[0].p_R11_a
q_R11_a = struct[0].q_R11_a
p_R11_b = struct[0].p_R11_b
q_R11_b = struct[0].q_R11_b
p_R11_c = struct[0].p_R11_c
q_R11_c = struct[0].q_R11_c
p_R15_a = struct[0].p_R15_a
q_R15_a = struct[0].q_R15_a
p_R15_b = struct[0].p_R15_b
q_R15_b = struct[0].q_R15_b
p_R15_c = struct[0].p_R15_c
q_R15_c = struct[0].q_R15_c
p_R16_a = struct[0].p_R16_a
q_R16_a = struct[0].q_R16_a
p_R16_b = struct[0].p_R16_b
q_R16_b = struct[0].q_R16_b
p_R16_c = struct[0].p_R16_c
q_R16_c = struct[0].q_R16_c
p_R17_a = struct[0].p_R17_a
q_R17_a = struct[0].q_R17_a
p_R17_b = struct[0].p_R17_b
q_R17_b = struct[0].q_R17_b
p_R17_c = struct[0].p_R17_c
q_R17_c = struct[0].q_R17_c
p_R18_a = struct[0].p_R18_a
q_R18_a = struct[0].q_R18_a
p_R18_b = struct[0].p_R18_b
q_R18_b = struct[0].q_R18_b
p_R18_c = struct[0].p_R18_c
q_R18_c = struct[0].q_R18_c
u_dummy = struct[0].u_dummy
# Dynamical states:
x_dummy = struct[0].x[0,0]
# Algebraic states:
v_R1_a_r = struct[0].y_ini[0,0]
v_R1_a_i = struct[0].y_ini[1,0]
v_R1_b_r = struct[0].y_ini[2,0]
v_R1_b_i = struct[0].y_ini[3,0]
v_R1_c_r = struct[0].y_ini[4,0]
v_R1_c_i = struct[0].y_ini[5,0]
v_R1_n_r = struct[0].y_ini[6,0]
v_R1_n_i = struct[0].y_ini[7,0]
v_R11_a_r = struct[0].y_ini[8,0]
v_R11_a_i = struct[0].y_ini[9,0]
v_R11_b_r = struct[0].y_ini[10,0]
v_R11_b_i = struct[0].y_ini[11,0]
v_R11_c_r = struct[0].y_ini[12,0]
v_R11_c_i = struct[0].y_ini[13,0]
v_R11_n_r = struct[0].y_ini[14,0]
v_R11_n_i = struct[0].y_ini[15,0]
v_R15_a_r = struct[0].y_ini[16,0]
v_R15_a_i = struct[0].y_ini[17,0]
v_R15_b_r = struct[0].y_ini[18,0]
v_R15_b_i = struct[0].y_ini[19,0]
v_R15_c_r = struct[0].y_ini[20,0]
v_R15_c_i = struct[0].y_ini[21,0]
v_R15_n_r = struct[0].y_ini[22,0]
v_R15_n_i = struct[0].y_ini[23,0]
v_R16_a_r = struct[0].y_ini[24,0]
v_R16_a_i = struct[0].y_ini[25,0]
v_R16_b_r = struct[0].y_ini[26,0]
v_R16_b_i = struct[0].y_ini[27,0]
v_R16_c_r = struct[0].y_ini[28,0]
v_R16_c_i = struct[0].y_ini[29,0]
v_R16_n_r = struct[0].y_ini[30,0]
v_R16_n_i = struct[0].y_ini[31,0]
v_R17_a_r = struct[0].y_ini[32,0]
v_R17_a_i = struct[0].y_ini[33,0]
v_R17_b_r = struct[0].y_ini[34,0]
v_R17_b_i = struct[0].y_ini[35,0]
v_R17_c_r = struct[0].y_ini[36,0]
v_R17_c_i = struct[0].y_ini[37,0]
v_R17_n_r = struct[0].y_ini[38,0]
v_R17_n_i = struct[0].y_ini[39,0]
v_R18_a_r = struct[0].y_ini[40,0]
v_R18_a_i = struct[0].y_ini[41,0]
v_R18_b_r = struct[0].y_ini[42,0]
v_R18_b_i = struct[0].y_ini[43,0]
v_R18_c_r = struct[0].y_ini[44,0]
v_R18_c_i = struct[0].y_ini[45,0]
v_R18_n_r = struct[0].y_ini[46,0]
v_R18_n_i = struct[0].y_ini[47,0]
v_R2_a_r = struct[0].y_ini[48,0]
v_R2_a_i = struct[0].y_ini[49,0]
v_R2_b_r = struct[0].y_ini[50,0]
v_R2_b_i = struct[0].y_ini[51,0]
v_R2_c_r = struct[0].y_ini[52,0]
v_R2_c_i = struct[0].y_ini[53,0]
v_R2_n_r = struct[0].y_ini[54,0]
v_R2_n_i = struct[0].y_ini[55,0]
v_R3_a_r = struct[0].y_ini[56,0]
v_R3_a_i = struct[0].y_ini[57,0]
v_R3_b_r = struct[0].y_ini[58,0]
v_R3_b_i = struct[0].y_ini[59,0]
v_R3_c_r = struct[0].y_ini[60,0]
v_R3_c_i = struct[0].y_ini[61,0]
v_R3_n_r = struct[0].y_ini[62,0]
v_R3_n_i = struct[0].y_ini[63,0]
v_R4_a_r = struct[0].y_ini[64,0]
v_R4_a_i = struct[0].y_ini[65,0]
v_R4_b_r = struct[0].y_ini[66,0]
v_R4_b_i = struct[0].y_ini[67,0]
v_R4_c_r = struct[0].y_ini[68,0]
v_R4_c_i = struct[0].y_ini[69,0]
v_R4_n_r = struct[0].y_ini[70,0]
v_R4_n_i = struct[0].y_ini[71,0]
v_R5_a_r = struct[0].y_ini[72,0]
v_R5_a_i = struct[0].y_ini[73,0]
v_R5_b_r = struct[0].y_ini[74,0]
v_R5_b_i = struct[0].y_ini[75,0]
v_R5_c_r = struct[0].y_ini[76,0]
v_R5_c_i = struct[0].y_ini[77,0]
v_R5_n_r = struct[0].y_ini[78,0]
v_R5_n_i = struct[0].y_ini[79,0]
v_R6_a_r = struct[0].y_ini[80,0]
v_R6_a_i = struct[0].y_ini[81,0]
v_R6_b_r = struct[0].y_ini[82,0]
v_R6_b_i = struct[0].y_ini[83,0]
v_R6_c_r = struct[0].y_ini[84,0]
v_R6_c_i = struct[0].y_ini[85,0]
v_R6_n_r = struct[0].y_ini[86,0]
v_R6_n_i = struct[0].y_ini[87,0]
v_R7_a_r = struct[0].y_ini[88,0]
v_R7_a_i = struct[0].y_ini[89,0]
v_R7_b_r = struct[0].y_ini[90,0]
v_R7_b_i = struct[0].y_ini[91,0]
v_R7_c_r = struct[0].y_ini[92,0]
v_R7_c_i = struct[0].y_ini[93,0]
v_R7_n_r = struct[0].y_ini[94,0]
v_R7_n_i = struct[0].y_ini[95,0]
v_R8_a_r = struct[0].y_ini[96,0]
v_R8_a_i = struct[0].y_ini[97,0]
v_R8_b_r = struct[0].y_ini[98,0]
v_R8_b_i = struct[0].y_ini[99,0]
v_R8_c_r = struct[0].y_ini[100,0]
v_R8_c_i = struct[0].y_ini[101,0]
v_R8_n_r = struct[0].y_ini[102,0]
v_R8_n_i = struct[0].y_ini[103,0]
v_R9_a_r = struct[0].y_ini[104,0]
v_R9_a_i = struct[0].y_ini[105,0]
v_R9_b_r = struct[0].y_ini[106,0]
v_R9_b_i = struct[0].y_ini[107,0]
v_R9_c_r = struct[0].y_ini[108,0]
v_R9_c_i = struct[0].y_ini[109,0]
v_R9_n_r = struct[0].y_ini[110,0]
v_R9_n_i = struct[0].y_ini[111,0]
v_R10_a_r = struct[0].y_ini[112,0]
v_R10_a_i = struct[0].y_ini[113,0]
v_R10_b_r = struct[0].y_ini[114,0]
v_R10_b_i = struct[0].y_ini[115,0]
v_R10_c_r = struct[0].y_ini[116,0]
v_R10_c_i = struct[0].y_ini[117,0]
v_R10_n_r = struct[0].y_ini[118,0]
v_R10_n_i = struct[0].y_ini[119,0]
v_R12_a_r = struct[0].y_ini[120,0]
v_R12_a_i = struct[0].y_ini[121,0]
v_R12_b_r = struct[0].y_ini[122,0]
v_R12_b_i = struct[0].y_ini[123,0]
v_R12_c_r = struct[0].y_ini[124,0]
v_R12_c_i = struct[0].y_ini[125,0]
v_R12_n_r = struct[0].y_ini[126,0]
v_R12_n_i = struct[0].y_ini[127,0]
v_R13_a_r = struct[0].y_ini[128,0]
v_R13_a_i = struct[0].y_ini[129,0]
v_R13_b_r = struct[0].y_ini[130,0]
v_R13_b_i = struct[0].y_ini[131,0]
v_R13_c_r = struct[0].y_ini[132,0]
v_R13_c_i = struct[0].y_ini[133,0]
v_R13_n_r = struct[0].y_ini[134,0]
v_R13_n_i = struct[0].y_ini[135,0]
v_R14_a_r = struct[0].y_ini[136,0]
v_R14_a_i = struct[0].y_ini[137,0]
v_R14_b_r = struct[0].y_ini[138,0]
v_R14_b_i = struct[0].y_ini[139,0]
v_R14_c_r = struct[0].y_ini[140,0]
v_R14_c_i = struct[0].y_ini[141,0]
v_R14_n_r = struct[0].y_ini[142,0]
v_R14_n_i = struct[0].y_ini[143,0]
i_R1_a_r = struct[0].y_ini[144,0]
i_R1_a_i = struct[0].y_ini[145,0]
i_R1_b_r = struct[0].y_ini[146,0]
i_R1_b_i = struct[0].y_ini[147,0]
i_R1_c_r = struct[0].y_ini[148,0]
i_R1_c_i = struct[0].y_ini[149,0]
i_R1_n_r = struct[0].y_ini[150,0]
i_R1_n_i = struct[0].y_ini[151,0]
i_R11_a_r = struct[0].y_ini[152,0]
i_R11_a_i = struct[0].y_ini[153,0]
i_R11_b_r = struct[0].y_ini[154,0]
i_R11_b_i = struct[0].y_ini[155,0]
i_R11_c_r = struct[0].y_ini[156,0]
i_R11_c_i = struct[0].y_ini[157,0]
i_R11_n_r = struct[0].y_ini[158,0]
i_R11_n_i = struct[0].y_ini[159,0]
i_R15_a_r = struct[0].y_ini[160,0]
i_R15_a_i = struct[0].y_ini[161,0]
i_R15_b_r = struct[0].y_ini[162,0]
i_R15_b_i = struct[0].y_ini[163,0]
i_R15_c_r = struct[0].y_ini[164,0]
i_R15_c_i = struct[0].y_ini[165,0]
i_R15_n_r = struct[0].y_ini[166,0]
i_R15_n_i = struct[0].y_ini[167,0]
i_R16_a_r = struct[0].y_ini[168,0]
i_R16_a_i = struct[0].y_ini[169,0]
i_R16_b_r = struct[0].y_ini[170,0]
i_R16_b_i = struct[0].y_ini[171,0]
i_R16_c_r = struct[0].y_ini[172,0]
i_R16_c_i = struct[0].y_ini[173,0]
i_R16_n_r = struct[0].y_ini[174,0]
i_R16_n_i = struct[0].y_ini[175,0]
i_R17_a_r = struct[0].y_ini[176,0]
i_R17_a_i = struct[0].y_ini[177,0]
i_R17_b_r = struct[0].y_ini[178,0]
i_R17_b_i = struct[0].y_ini[179,0]
i_R17_c_r = struct[0].y_ini[180,0]
i_R17_c_i = struct[0].y_ini[181,0]
i_R17_n_r = struct[0].y_ini[182,0]
i_R17_n_i = struct[0].y_ini[183,0]
i_R18_a_r = struct[0].y_ini[184,0]
i_R18_a_i = struct[0].y_ini[185,0]
i_R18_b_r = struct[0].y_ini[186,0]
i_R18_b_i = struct[0].y_ini[187,0]
i_R18_c_r = struct[0].y_ini[188,0]
i_R18_c_i = struct[0].y_ini[189,0]
i_R18_n_r = struct[0].y_ini[190,0]
i_R18_n_i = struct[0].y_ini[191,0]
# Differential equations:
if mode == 2:
struct[0].f[0,0] = u_dummy - x_dummy
# Algebraic equations:
if mode == 3:
g_n = np.ascontiguousarray(struct[0].Gy_ini) @ np.ascontiguousarray(struct[0].y_ini)
struct[0].g[0,0] = i_R1_a_r + 0.808613822394434*v_R0_a_i + 0.202153455598608*v_R0_a_r - 0.808613822394434*v_R0_c_i - 0.202153455598608*v_R0_c_r - 120.759116772529*v_R1_a_i - 122.245105314247*v_R1_a_r + 10.2713736253513*v_R1_b_i + 39.6392229058202*v_R1_b_r + 23.284964480954*v_R1_c_i + 24.9575997948692*v_R1_c_r + 76.9647176296197*v_R1_n_i + 56.3125589068873*v_R1_n_r + 54.0657727682604*v_R2_a_i + 105.57176931318*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r - 23.284964480954*v_R2_c_i - 24.9575997948692*v_R2_c_r - 10.2713736253513*v_R2_n_i - 39.6392229058202*v_R2_n_r
struct[0].g[1,0] = i_R1_a_i + 0.202153455598608*v_R0_a_i - 0.808613822394434*v_R0_a_r - 0.202153455598608*v_R0_c_i + 0.808613822394434*v_R0_c_r - 122.245105314247*v_R1_a_i + 120.759116772529*v_R1_a_r + 39.6392229058202*v_R1_b_i - 10.2713736253513*v_R1_b_r + 24.9575997948692*v_R1_c_i - 23.284964480954*v_R1_c_r + 56.3125589068873*v_R1_n_i - 76.9647176296197*v_R1_n_r + 105.57176931318*v_R2_a_i - 54.0657727682604*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r - 24.9575997948692*v_R2_c_i + 23.284964480954*v_R2_c_r - 39.6392229058202*v_R2_n_i + 10.2713736253513*v_R2_n_r
struct[0].g[2,0] = i_R1_b_r - 0.808613822394434*v_R0_a_i - 0.202153455598608*v_R0_a_r + 0.808613822394434*v_R0_b_i + 0.202153455598608*v_R0_b_r + 10.2713736253513*v_R1_a_i + 39.6392229058202*v_R1_a_r - 120.759116772529*v_R1_b_i - 122.245105314247*v_R1_b_r + 10.2713736253513*v_R1_c_i + 39.6392229058201*v_R1_c_r + 89.9783084852224*v_R1_n_i + 41.6309357959363*v_R1_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r + 54.0657727682604*v_R2_b_i + 105.57176931318*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058201*v_R2_c_r - 23.284964480954*v_R2_n_i - 24.9575997948692*v_R2_n_r
struct[0].g[3,0] = i_R1_b_i - 0.202153455598608*v_R0_a_i + 0.808613822394434*v_R0_a_r + 0.202153455598608*v_R0_b_i - 0.808613822394434*v_R0_b_r + 39.6392229058202*v_R1_a_i - 10.2713736253513*v_R1_a_r - 122.245105314247*v_R1_b_i + 120.759116772529*v_R1_b_r + 39.6392229058201*v_R1_c_i - 10.2713736253513*v_R1_c_r + 41.6309357959363*v_R1_n_i - 89.9783084852224*v_R1_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r + 105.57176931318*v_R2_b_i - 54.0657727682604*v_R2_b_r - 39.6392229058201*v_R2_c_i + 10.2713736253513*v_R2_c_r - 24.9575997948692*v_R2_n_i + 23.284964480954*v_R2_n_r
struct[0].g[4,0] = i_R1_c_r - 0.808613822394434*v_R0_b_i - 0.202153455598608*v_R0_b_r + 0.808613822394434*v_R0_c_i + 0.202153455598608*v_R0_c_r + 23.284964480954*v_R1_a_i + 24.9575997948692*v_R1_a_r + 10.2713736253513*v_R1_b_i + 39.6392229058202*v_R1_b_r - 120.759116772529*v_R1_c_i - 122.245105314247*v_R1_c_r + 76.9647176296197*v_R1_n_i + 56.3125589068872*v_R1_n_r - 23.284964480954*v_R2_a_i - 24.9575997948692*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r + 54.0657727682604*v_R2_c_i + 105.57176931318*v_R2_c_r - 10.2713736253514*v_R2_n_i - 39.6392229058201*v_R2_n_r
struct[0].g[5,0] = i_R1_c_i - 0.202153455598608*v_R0_b_i + 0.808613822394434*v_R0_b_r + 0.202153455598608*v_R0_c_i - 0.808613822394434*v_R0_c_r + 24.9575997948692*v_R1_a_i - 23.284964480954*v_R1_a_r + 39.6392229058202*v_R1_b_i - 10.2713736253513*v_R1_b_r - 122.245105314247*v_R1_c_i + 120.759116772529*v_R1_c_r + 56.3125589068872*v_R1_n_i - 76.9647176296197*v_R1_n_r - 24.9575997948692*v_R2_a_i + 23.284964480954*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r + 105.57176931318*v_R2_c_i - 54.0657727682604*v_R2_c_r - 39.6392229058201*v_R2_n_i + 10.2713736253514*v_R2_n_r
struct[0].g[6,0] = g_n[6,0]
struct[0].g[7,0] = g_n[7,0]
struct[0].g[8,0] = g_n[8,0]
struct[0].g[9,0] = g_n[9,0]
struct[0].g[10,0] = g_n[10,0]
struct[0].g[11,0] = g_n[11,0]
struct[0].g[12,0] = g_n[12,0]
struct[0].g[13,0] = g_n[13,0]
struct[0].g[14,0] = g_n[14,0]
struct[0].g[15,0] = g_n[15,0]
struct[0].g[16,0] = g_n[16,0]
struct[0].g[17,0] = g_n[17,0]
struct[0].g[18,0] = g_n[18,0]
struct[0].g[19,0] = g_n[19,0]
struct[0].g[20,0] = g_n[20,0]
struct[0].g[21,0] = g_n[21,0]
struct[0].g[22,0] = g_n[22,0]
struct[0].g[23,0] = g_n[23,0]
struct[0].g[24,0] = g_n[24,0]
struct[0].g[25,0] = g_n[25,0]
struct[0].g[26,0] = g_n[26,0]
struct[0].g[27,0] = g_n[27,0]
struct[0].g[28,0] = g_n[28,0]
struct[0].g[29,0] = g_n[29,0]
struct[0].g[30,0] = g_n[30,0]
struct[0].g[31,0] = g_n[31,0]
struct[0].g[32,0] = g_n[32,0]
struct[0].g[33,0] = g_n[33,0]
struct[0].g[34,0] = g_n[34,0]
struct[0].g[35,0] = g_n[35,0]
struct[0].g[36,0] = g_n[36,0]
struct[0].g[37,0] = g_n[37,0]
struct[0].g[38,0] = g_n[38,0]
struct[0].g[39,0] = g_n[39,0]
struct[0].g[40,0] = g_n[40,0]
struct[0].g[41,0] = g_n[41,0]
struct[0].g[42,0] = g_n[42,0]
struct[0].g[43,0] = g_n[43,0]
struct[0].g[44,0] = g_n[44,0]
struct[0].g[45,0] = g_n[45,0]
struct[0].g[46,0] = g_n[46,0]
struct[0].g[47,0] = g_n[47,0]
struct[0].g[48,0] = i_R2_a_r + 54.0657727682604*v_R1_a_i + 105.57176931318*v_R1_a_r - 10.2713736253513*v_R1_b_i - 39.6392229058202*v_R1_b_r - 23.284964480954*v_R1_c_i - 24.9575997948692*v_R1_c_r - 10.2713736253513*v_R1_n_i - 39.6392229058202*v_R1_n_r - 108.131545536521*v_R2_a_i - 211.14353862636*v_R2_a_r + 20.5427472507027*v_R2_b_i + 79.2784458116403*v_R2_b_r + 46.569928961908*v_R2_c_i + 49.9151995897384*v_R2_c_r + 20.5427472507027*v_R2_n_i + 79.2784458116403*v_R2_n_r + 54.0657727682604*v_R3_a_i + 105.57176931318*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r - 23.284964480954*v_R3_c_i - 24.9575997948692*v_R3_c_r - 10.2713736253513*v_R3_n_i - 39.6392229058202*v_R3_n_r
struct[0].g[49,0] = i_R2_a_i + 105.57176931318*v_R1_a_i - 54.0657727682604*v_R1_a_r - 39.6392229058202*v_R1_b_i + 10.2713736253513*v_R1_b_r - 24.9575997948692*v_R1_c_i + 23.284964480954*v_R1_c_r - 39.6392229058202*v_R1_n_i + 10.2713736253513*v_R1_n_r - 211.14353862636*v_R2_a_i + 108.131545536521*v_R2_a_r + 79.2784458116403*v_R2_b_i - 20.5427472507027*v_R2_b_r + 49.9151995897384*v_R2_c_i - 46.569928961908*v_R2_c_r + 79.2784458116403*v_R2_n_i - 20.5427472507027*v_R2_n_r + 105.57176931318*v_R3_a_i - 54.0657727682604*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r - 24.9575997948692*v_R3_c_i + 23.284964480954*v_R3_c_r - 39.6392229058202*v_R3_n_i + 10.2713736253513*v_R3_n_r
struct[0].g[50,0] = i_R2_b_r - 10.2713736253513*v_R1_a_i - 39.6392229058202*v_R1_a_r + 54.0657727682604*v_R1_b_i + 105.57176931318*v_R1_b_r - 10.2713736253513*v_R1_c_i - 39.6392229058201*v_R1_c_r - 23.284964480954*v_R1_n_i - 24.9575997948692*v_R1_n_r + 20.5427472507027*v_R2_a_i + 79.2784458116403*v_R2_a_r - 108.131545536521*v_R2_b_i - 211.14353862636*v_R2_b_r + 20.5427472507027*v_R2_c_i + 79.2784458116403*v_R2_c_r + 46.569928961908*v_R2_n_i + 49.9151995897384*v_R2_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r + 54.0657727682604*v_R3_b_i + 105.57176931318*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058201*v_R3_c_r - 23.284964480954*v_R3_n_i - 24.9575997948692*v_R3_n_r
struct[0].g[51,0] = i_R2_b_i - 39.6392229058202*v_R1_a_i + 10.2713736253513*v_R1_a_r + 105.57176931318*v_R1_b_i - 54.0657727682604*v_R1_b_r - 39.6392229058201*v_R1_c_i + 10.2713736253513*v_R1_c_r - 24.9575997948692*v_R1_n_i + 23.284964480954*v_R1_n_r + 79.2784458116403*v_R2_a_i - 20.5427472507027*v_R2_a_r - 211.14353862636*v_R2_b_i + 108.131545536521*v_R2_b_r + 79.2784458116403*v_R2_c_i - 20.5427472507027*v_R2_c_r + 49.9151995897384*v_R2_n_i - 46.569928961908*v_R2_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r + 105.57176931318*v_R3_b_i - 54.0657727682604*v_R3_b_r - 39.6392229058201*v_R3_c_i + 10.2713736253513*v_R3_c_r - 24.9575997948692*v_R3_n_i + 23.284964480954*v_R3_n_r
struct[0].g[52,0] = i_R2_c_r - 23.284964480954*v_R1_a_i - 24.9575997948692*v_R1_a_r - 10.2713736253513*v_R1_b_i - 39.6392229058202*v_R1_b_r + 54.0657727682604*v_R1_c_i + 105.57176931318*v_R1_c_r - 10.2713736253514*v_R1_n_i - 39.6392229058201*v_R1_n_r + 46.569928961908*v_R2_a_i + 49.9151995897384*v_R2_a_r + 20.5427472507027*v_R2_b_i + 79.2784458116404*v_R2_b_r - 108.131545536521*v_R2_c_i - 211.14353862636*v_R2_c_r + 20.5427472507027*v_R2_n_i + 79.2784458116403*v_R2_n_r - 23.284964480954*v_R3_a_i - 24.9575997948692*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r + 54.0657727682604*v_R3_c_i + 105.57176931318*v_R3_c_r - 10.2713736253514*v_R3_n_i - 39.6392229058201*v_R3_n_r
struct[0].g[53,0] = i_R2_c_i - 24.9575997948692*v_R1_a_i + 23.284964480954*v_R1_a_r - 39.6392229058202*v_R1_b_i + 10.2713736253513*v_R1_b_r + 105.57176931318*v_R1_c_i - 54.0657727682604*v_R1_c_r - 39.6392229058201*v_R1_n_i + 10.2713736253514*v_R1_n_r + 49.9151995897384*v_R2_a_i - 46.569928961908*v_R2_a_r + 79.2784458116404*v_R2_b_i - 20.5427472507027*v_R2_b_r - 211.14353862636*v_R2_c_i + 108.131545536521*v_R2_c_r + 79.2784458116403*v_R2_n_i - 20.5427472507027*v_R2_n_r - 24.9575997948692*v_R3_a_i + 23.284964480954*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r + 105.57176931318*v_R3_c_i - 54.0657727682604*v_R3_c_r - 39.6392229058201*v_R3_n_i + 10.2713736253514*v_R3_n_r
struct[0].g[54,0] = i_R2_n_r - 10.2713736253513*v_R1_a_i - 39.6392229058202*v_R1_a_r - 23.284964480954*v_R1_b_i - 24.9575997948692*v_R1_b_r - 10.2713736253513*v_R1_c_i - 39.6392229058202*v_R1_c_r + 54.0657727682604*v_R1_n_i + 105.57176931318*v_R1_n_r + 20.5427472507027*v_R2_a_i + 79.2784458116403*v_R2_a_r + 46.569928961908*v_R2_b_i + 49.9151995897384*v_R2_b_r + 20.5427472507027*v_R2_c_i + 79.2784458116403*v_R2_c_r - 108.131545536521*v_R2_n_i - 211.16853862636*v_R2_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r - 23.284964480954*v_R3_b_i - 24.9575997948692*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058202*v_R3_c_r + 54.0657727682604*v_R3_n_i + 105.57176931318*v_R3_n_r
struct[0].g[55,0] = i_R2_n_i - 39.6392229058202*v_R1_a_i + 10.2713736253513*v_R1_a_r - 24.9575997948692*v_R1_b_i + 23.284964480954*v_R1_b_r - 39.6392229058202*v_R1_c_i + 10.2713736253513*v_R1_c_r + 105.57176931318*v_R1_n_i - 54.0657727682604*v_R1_n_r + 79.2784458116403*v_R2_a_i - 20.5427472507027*v_R2_a_r + 49.9151995897384*v_R2_b_i - 46.569928961908*v_R2_b_r + 79.2784458116403*v_R2_c_i - 20.5427472507027*v_R2_c_r - 211.16853862636*v_R2_n_i + 108.131545536521*v_R2_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r - 24.9575997948692*v_R3_b_i + 23.284964480954*v_R3_b_r - 39.6392229058202*v_R3_c_i + 10.2713736253513*v_R3_c_r + 105.57176931318*v_R3_n_i - 54.0657727682604*v_R3_n_r
struct[0].g[56,0] = i_R3_a_r + 4.84676915585801*v_R11_a_i + 26.5300693004806*v_R11_a_r + 1.58482814504483*v_R11_b_i - 7.8946133751477*v_R11_b_r + 0.67991845328531*v_R11_c_i - 7.72144347466701*v_R11_c_r + 1.58482814504483*v_R11_n_i - 7.89461337514771*v_R11_n_r + 54.0657727682604*v_R2_a_i + 105.57176931318*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r - 23.284964480954*v_R2_c_i - 24.9575997948692*v_R2_c_r - 10.2713736253513*v_R2_n_i - 39.6392229058202*v_R2_n_r - 112.978314692379*v_R3_a_i - 237.673607926841*v_R3_a_r + 18.9579191056578*v_R3_b_i + 87.173059186788*v_R3_b_r + 45.8900105086227*v_R3_c_i + 57.6366430644055*v_R3_c_r + 18.9579191056579*v_R3_n_i + 87.173059186788*v_R3_n_r + 54.0657727682604*v_R4_a_i + 105.57176931318*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r - 23.284964480954*v_R4_c_i - 24.9575997948692*v_R4_c_r - 10.2713736253513*v_R4_n_i - 39.6392229058202*v_R4_n_r
struct[0].g[57,0] = i_R3_a_i + 26.5300693004806*v_R11_a_i - 4.84676915585801*v_R11_a_r - 7.8946133751477*v_R11_b_i - 1.58482814504483*v_R11_b_r - 7.72144347466701*v_R11_c_i - 0.67991845328531*v_R11_c_r - 7.89461337514771*v_R11_n_i - 1.58482814504483*v_R11_n_r + 105.57176931318*v_R2_a_i - 54.0657727682604*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r - 24.9575997948692*v_R2_c_i + 23.284964480954*v_R2_c_r - 39.6392229058202*v_R2_n_i + 10.2713736253513*v_R2_n_r - 237.673607926841*v_R3_a_i + 112.978314692379*v_R3_a_r + 87.173059186788*v_R3_b_i - 18.9579191056578*v_R3_b_r + 57.6366430644055*v_R3_c_i - 45.8900105086227*v_R3_c_r + 87.173059186788*v_R3_n_i - 18.9579191056579*v_R3_n_r + 105.57176931318*v_R4_a_i - 54.0657727682604*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r - 24.9575997948692*v_R4_c_i + 23.284964480954*v_R4_c_r - 39.6392229058202*v_R4_n_i + 10.2713736253513*v_R4_n_r
struct[0].g[58,0] = i_R3_b_r + 1.58482814504483*v_R11_a_i - 7.89461337514771*v_R11_a_r + 4.84676915585801*v_R11_b_i + 26.5300693004806*v_R11_b_r + 1.58482814504483*v_R11_c_i - 7.89461337514771*v_R11_c_r + 0.679918453285308*v_R11_n_i - 7.72144347466701*v_R11_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r + 54.0657727682604*v_R2_b_i + 105.57176931318*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058201*v_R2_c_r - 23.284964480954*v_R2_n_i - 24.9575997948692*v_R2_n_r + 18.9579191056579*v_R3_a_i + 87.173059186788*v_R3_a_r - 112.978314692379*v_R3_b_i - 237.673607926841*v_R3_b_r + 18.9579191056579*v_R3_c_i + 87.173059186788*v_R3_c_r + 45.8900105086227*v_R3_n_i + 57.6366430644054*v_R3_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r + 54.0657727682604*v_R4_b_i + 105.57176931318*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058201*v_R4_c_r - 23.284964480954*v_R4_n_i - 24.9575997948692*v_R4_n_r
struct[0].g[59,0] = i_R3_b_i - 7.89461337514771*v_R11_a_i - 1.58482814504483*v_R11_a_r + 26.5300693004806*v_R11_b_i - 4.84676915585801*v_R11_b_r - 7.89461337514771*v_R11_c_i - 1.58482814504483*v_R11_c_r - 7.72144347466701*v_R11_n_i - 0.679918453285308*v_R11_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r + 105.57176931318*v_R2_b_i - 54.0657727682604*v_R2_b_r - 39.6392229058201*v_R2_c_i + 10.2713736253513*v_R2_c_r - 24.9575997948692*v_R2_n_i + 23.284964480954*v_R2_n_r + 87.173059186788*v_R3_a_i - 18.9579191056579*v_R3_a_r - 237.673607926841*v_R3_b_i + 112.978314692379*v_R3_b_r + 87.173059186788*v_R3_c_i - 18.9579191056579*v_R3_c_r + 57.6366430644054*v_R3_n_i - 45.8900105086227*v_R3_n_r - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r + 105.57176931318*v_R4_b_i - 54.0657727682604*v_R4_b_r - 39.6392229058201*v_R4_c_i + 10.2713736253513*v_R4_c_r - 24.9575997948692*v_R4_n_i + 23.284964480954*v_R4_n_r
struct[0].g[60,0] = i_R3_c_r + 0.67991845328531*v_R11_a_i - 7.72144347466701*v_R11_a_r + 1.58482814504483*v_R11_b_i - 7.8946133751477*v_R11_b_r + 4.84676915585801*v_R11_c_i + 26.5300693004806*v_R11_c_r + 1.58482814504483*v_R11_n_i - 7.89461337514771*v_R11_n_r - 23.284964480954*v_R2_a_i - 24.9575997948692*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r + 54.0657727682604*v_R2_c_i + 105.57176931318*v_R2_c_r - 10.2713736253514*v_R2_n_i - 39.6392229058201*v_R2_n_r + 45.8900105086227*v_R3_a_i + 57.6366430644054*v_R3_a_r + 18.9579191056578*v_R3_b_i + 87.1730591867881*v_R3_b_r - 112.978314692379*v_R3_c_i - 237.673607926841*v_R3_c_r + 18.9579191056579*v_R3_n_i + 87.173059186788*v_R3_n_r - 23.284964480954*v_R4_a_i - 24.9575997948692*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r + 54.0657727682604*v_R4_c_i + 105.57176931318*v_R4_c_r - 10.2713736253514*v_R4_n_i - 39.6392229058201*v_R4_n_r
struct[0].g[61,0] = i_R3_c_i - 7.72144347466701*v_R11_a_i - 0.67991845328531*v_R11_a_r - 7.8946133751477*v_R11_b_i - 1.58482814504483*v_R11_b_r + 26.5300693004806*v_R11_c_i - 4.84676915585801*v_R11_c_r - 7.89461337514771*v_R11_n_i - 1.58482814504483*v_R11_n_r - 24.9575997948692*v_R2_a_i + 23.284964480954*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r + 105.57176931318*v_R2_c_i - 54.0657727682604*v_R2_c_r - 39.6392229058201*v_R2_n_i + 10.2713736253514*v_R2_n_r + 57.6366430644054*v_R3_a_i - 45.8900105086227*v_R3_a_r + 87.1730591867881*v_R3_b_i - 18.9579191056578*v_R3_b_r - 237.673607926841*v_R3_c_i + 112.978314692379*v_R3_c_r + 87.173059186788*v_R3_n_i - 18.9579191056579*v_R3_n_r - 24.9575997948692*v_R4_a_i + 23.284964480954*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r + 105.57176931318*v_R4_c_i - 54.0657727682604*v_R4_c_r - 39.6392229058201*v_R4_n_i + 10.2713736253514*v_R4_n_r
struct[0].g[62,0] = i_R3_n_r + 1.58482814504483*v_R11_a_i - 7.89461337514771*v_R11_a_r + 0.679918453285308*v_R11_b_i - 7.72144347466701*v_R11_b_r + 1.58482814504483*v_R11_c_i - 7.89461337514771*v_R11_c_r + 4.84676915585801*v_R11_n_i + 26.5300693004806*v_R11_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r - 23.284964480954*v_R2_b_i - 24.9575997948692*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058202*v_R2_c_r + 54.0657727682604*v_R2_n_i + 105.57176931318*v_R2_n_r + 18.9579191056578*v_R3_a_i + 87.173059186788*v_R3_a_r + 45.8900105086227*v_R3_b_i + 57.6366430644054*v_R3_b_r + 18.9579191056579*v_R3_c_i + 87.173059186788*v_R3_c_r - 112.978314692379*v_R3_n_i - 237.673607926841*v_R3_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r - 23.284964480954*v_R4_b_i - 24.9575997948692*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058202*v_R4_c_r + 54.0657727682604*v_R4_n_i + 105.57176931318*v_R4_n_r
struct[0].g[63,0] = i_R3_n_i - 7.89461337514771*v_R11_a_i - 1.58482814504483*v_R11_a_r - 7.72144347466701*v_R11_b_i - 0.679918453285308*v_R11_b_r - 7.89461337514771*v_R11_c_i - 1.58482814504483*v_R11_c_r + 26.5300693004806*v_R11_n_i - 4.84676915585801*v_R11_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r - 24.9575997948692*v_R2_b_i + 23.284964480954*v_R2_b_r - 39.6392229058202*v_R2_c_i + 10.2713736253513*v_R2_c_r + 105.57176931318*v_R2_n_i - 54.0657727682604*v_R2_n_r + 87.173059186788*v_R3_a_i - 18.9579191056578*v_R3_a_r + 57.6366430644054*v_R3_b_i - 45.8900105086227*v_R3_b_r + 87.173059186788*v_R3_c_i - 18.9579191056579*v_R3_c_r - 237.673607926841*v_R3_n_i + 112.978314692379*v_R3_n_r - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r - 24.9575997948692*v_R4_b_i + 23.284964480954*v_R4_b_r - 39.6392229058202*v_R4_c_i + 10.2713736253513*v_R4_c_r + 105.57176931318*v_R4_n_i - 54.0657727682604*v_R4_n_r
struct[0].g[64,0] = i_R4_a_r + 4.84676915585801*v_R12_a_i + 26.5300693004806*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 0.67991845328531*v_R12_c_i - 7.72144347466701*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r + 54.0657727682604*v_R3_a_i + 105.57176931318*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r - 23.284964480954*v_R3_c_i - 24.9575997948692*v_R3_c_r - 10.2713736253513*v_R3_n_i - 39.6392229058202*v_R3_n_r - 112.978314692379*v_R4_a_i - 237.673607926841*v_R4_a_r + 18.9579191056578*v_R4_b_i + 87.173059186788*v_R4_b_r + 45.8900105086227*v_R4_c_i + 57.6366430644055*v_R4_c_r + 18.9579191056579*v_R4_n_i + 87.173059186788*v_R4_n_r + 54.0657727682604*v_R5_a_i + 105.57176931318*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r - 23.284964480954*v_R5_c_i - 24.9575997948692*v_R5_c_r - 10.2713736253513*v_R5_n_i - 39.6392229058202*v_R5_n_r
struct[0].g[65,0] = i_R4_a_i + 26.5300693004806*v_R12_a_i - 4.84676915585801*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r - 7.72144347466701*v_R12_c_i - 0.67991845328531*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r + 105.57176931318*v_R3_a_i - 54.0657727682604*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r - 24.9575997948692*v_R3_c_i + 23.284964480954*v_R3_c_r - 39.6392229058202*v_R3_n_i + 10.2713736253513*v_R3_n_r - 237.673607926841*v_R4_a_i + 112.978314692379*v_R4_a_r + 87.173059186788*v_R4_b_i - 18.9579191056578*v_R4_b_r + 57.6366430644055*v_R4_c_i - 45.8900105086227*v_R4_c_r + 87.173059186788*v_R4_n_i - 18.9579191056579*v_R4_n_r + 105.57176931318*v_R5_a_i - 54.0657727682604*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r - 24.9575997948692*v_R5_c_i + 23.284964480954*v_R5_c_r - 39.6392229058202*v_R5_n_i + 10.2713736253513*v_R5_n_r
struct[0].g[66,0] = i_R4_b_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 4.84676915585801*v_R12_b_i + 26.5300693004806*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 0.679918453285308*v_R12_n_i - 7.72144347466701*v_R12_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r + 54.0657727682604*v_R3_b_i + 105.57176931318*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058201*v_R3_c_r - 23.284964480954*v_R3_n_i - 24.9575997948692*v_R3_n_r + 18.9579191056579*v_R4_a_i + 87.173059186788*v_R4_a_r - 112.978314692379*v_R4_b_i - 237.673607926841*v_R4_b_r + 18.9579191056579*v_R4_c_i + 87.173059186788*v_R4_c_r + 45.8900105086227*v_R4_n_i + 57.6366430644054*v_R4_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r + 54.0657727682604*v_R5_b_i + 105.57176931318*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058201*v_R5_c_r - 23.284964480954*v_R5_n_i - 24.9575997948692*v_R5_n_r
struct[0].g[67,0] = i_R4_b_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r + 26.5300693004806*v_R12_b_i - 4.84676915585801*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r - 7.72144347466701*v_R12_n_i - 0.679918453285308*v_R12_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r + 105.57176931318*v_R3_b_i - 54.0657727682604*v_R3_b_r - 39.6392229058201*v_R3_c_i + 10.2713736253513*v_R3_c_r - 24.9575997948692*v_R3_n_i + 23.284964480954*v_R3_n_r + 87.173059186788*v_R4_a_i - 18.9579191056579*v_R4_a_r - 237.673607926841*v_R4_b_i + 112.978314692379*v_R4_b_r + 87.173059186788*v_R4_c_i - 18.9579191056579*v_R4_c_r + 57.6366430644054*v_R4_n_i - 45.8900105086227*v_R4_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r + 105.57176931318*v_R5_b_i - 54.0657727682604*v_R5_b_r - 39.6392229058201*v_R5_c_i + 10.2713736253513*v_R5_c_r - 24.9575997948692*v_R5_n_i + 23.284964480954*v_R5_n_r
struct[0].g[68,0] = i_R4_c_r + 0.67991845328531*v_R12_a_i - 7.72144347466701*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 4.84676915585801*v_R12_c_i + 26.5300693004806*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 23.284964480954*v_R3_a_i - 24.9575997948692*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r + 54.0657727682604*v_R3_c_i + 105.57176931318*v_R3_c_r - 10.2713736253514*v_R3_n_i - 39.6392229058201*v_R3_n_r + 45.8900105086227*v_R4_a_i + 57.6366430644054*v_R4_a_r + 18.9579191056578*v_R4_b_i + 87.1730591867881*v_R4_b_r - 112.978314692379*v_R4_c_i - 237.673607926841*v_R4_c_r + 18.9579191056579*v_R4_n_i + 87.173059186788*v_R4_n_r - 23.284964480954*v_R5_a_i - 24.9575997948692*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r + 54.0657727682604*v_R5_c_i + 105.57176931318*v_R5_c_r - 10.2713736253514*v_R5_n_i - 39.6392229058201*v_R5_n_r
struct[0].g[69,0] = i_R4_c_i - 7.72144347466701*v_R12_a_i - 0.67991845328531*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r + 26.5300693004806*v_R12_c_i - 4.84676915585801*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r - 24.9575997948692*v_R3_a_i + 23.284964480954*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r + 105.57176931318*v_R3_c_i - 54.0657727682604*v_R3_c_r - 39.6392229058201*v_R3_n_i + 10.2713736253514*v_R3_n_r + 57.6366430644054*v_R4_a_i - 45.8900105086227*v_R4_a_r + 87.1730591867881*v_R4_b_i - 18.9579191056578*v_R4_b_r - 237.673607926841*v_R4_c_i + 112.978314692379*v_R4_c_r + 87.173059186788*v_R4_n_i - 18.9579191056579*v_R4_n_r - 24.9575997948692*v_R5_a_i + 23.284964480954*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r + 105.57176931318*v_R5_c_i - 54.0657727682604*v_R5_c_r - 39.6392229058201*v_R5_n_i + 10.2713736253514*v_R5_n_r
struct[0].g[70,0] = i_R4_n_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 0.679918453285308*v_R12_b_i - 7.72144347466701*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 4.84676915585801*v_R12_n_i + 26.5300693004806*v_R12_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r - 23.284964480954*v_R3_b_i - 24.9575997948692*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058202*v_R3_c_r + 54.0657727682604*v_R3_n_i + 105.57176931318*v_R3_n_r + 18.9579191056578*v_R4_a_i + 87.173059186788*v_R4_a_r + 45.8900105086227*v_R4_b_i + 57.6366430644054*v_R4_b_r + 18.9579191056579*v_R4_c_i + 87.173059186788*v_R4_c_r - 112.978314692379*v_R4_n_i - 237.698607926841*v_R4_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r - 23.284964480954*v_R5_b_i - 24.9575997948692*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058202*v_R5_c_r + 54.0657727682604*v_R5_n_i + 105.57176931318*v_R5_n_r
struct[0].g[71,0] = i_R4_n_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r - 7.72144347466701*v_R12_b_i - 0.679918453285308*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r + 26.5300693004806*v_R12_n_i - 4.84676915585801*v_R12_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r - 24.9575997948692*v_R3_b_i + 23.284964480954*v_R3_b_r - 39.6392229058202*v_R3_c_i + 10.2713736253513*v_R3_c_r + 105.57176931318*v_R3_n_i - 54.0657727682604*v_R3_n_r + 87.173059186788*v_R4_a_i - 18.9579191056578*v_R4_a_r + 57.6366430644054*v_R4_b_i - 45.8900105086227*v_R4_b_r + 87.173059186788*v_R4_c_i - 18.9579191056579*v_R4_c_r - 237.698607926841*v_R4_n_i + 112.978314692379*v_R4_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r - 24.9575997948692*v_R5_b_i + 23.284964480954*v_R5_b_r - 39.6392229058202*v_R5_c_i + 10.2713736253513*v_R5_c_r + 105.57176931318*v_R5_n_i - 54.0657727682604*v_R5_n_r
struct[0].g[72,0] = i_R5_a_r + 54.0657727682604*v_R4_a_i + 105.57176931318*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r - 23.284964480954*v_R4_c_i - 24.9575997948692*v_R4_c_r - 10.2713736253513*v_R4_n_i - 39.6392229058202*v_R4_n_r - 108.131545536521*v_R5_a_i - 211.14353862636*v_R5_a_r + 20.5427472507027*v_R5_b_i + 79.2784458116403*v_R5_b_r + 46.569928961908*v_R5_c_i + 49.9151995897384*v_R5_c_r + 20.5427472507027*v_R5_n_i + 79.2784458116403*v_R5_n_r + 54.0657727682604*v_R6_a_i + 105.57176931318*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r - 23.284964480954*v_R6_c_i - 24.9575997948692*v_R6_c_r - 10.2713736253513*v_R6_n_i - 39.6392229058202*v_R6_n_r
struct[0].g[73,0] = i_R5_a_i + 105.57176931318*v_R4_a_i - 54.0657727682604*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r - 24.9575997948692*v_R4_c_i + 23.284964480954*v_R4_c_r - 39.6392229058202*v_R4_n_i + 10.2713736253513*v_R4_n_r - 211.14353862636*v_R5_a_i + 108.131545536521*v_R5_a_r + 79.2784458116403*v_R5_b_i - 20.5427472507027*v_R5_b_r + 49.9151995897384*v_R5_c_i - 46.569928961908*v_R5_c_r + 79.2784458116403*v_R5_n_i - 20.5427472507027*v_R5_n_r + 105.57176931318*v_R6_a_i - 54.0657727682604*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r - 24.9575997948692*v_R6_c_i + 23.284964480954*v_R6_c_r - 39.6392229058202*v_R6_n_i + 10.2713736253513*v_R6_n_r
struct[0].g[74,0] = i_R5_b_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r + 54.0657727682604*v_R4_b_i + 105.57176931318*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058201*v_R4_c_r - 23.284964480954*v_R4_n_i - 24.9575997948692*v_R4_n_r + 20.5427472507027*v_R5_a_i + 79.2784458116403*v_R5_a_r - 108.131545536521*v_R5_b_i - 211.14353862636*v_R5_b_r + 20.5427472507027*v_R5_c_i + 79.2784458116403*v_R5_c_r + 46.569928961908*v_R5_n_i + 49.9151995897384*v_R5_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r + 54.0657727682604*v_R6_b_i + 105.57176931318*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058201*v_R6_c_r - 23.284964480954*v_R6_n_i - 24.9575997948692*v_R6_n_r
struct[0].g[75,0] = i_R5_b_i - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r + 105.57176931318*v_R4_b_i - 54.0657727682604*v_R4_b_r - 39.6392229058201*v_R4_c_i + 10.2713736253513*v_R4_c_r - 24.9575997948692*v_R4_n_i + 23.284964480954*v_R4_n_r + 79.2784458116403*v_R5_a_i - 20.5427472507027*v_R5_a_r - 211.14353862636*v_R5_b_i + 108.131545536521*v_R5_b_r + 79.2784458116403*v_R5_c_i - 20.5427472507027*v_R5_c_r + 49.9151995897384*v_R5_n_i - 46.569928961908*v_R5_n_r - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r + 105.57176931318*v_R6_b_i - 54.0657727682604*v_R6_b_r - 39.6392229058201*v_R6_c_i + 10.2713736253513*v_R6_c_r - 24.9575997948692*v_R6_n_i + 23.284964480954*v_R6_n_r
struct[0].g[76,0] = i_R5_c_r - 23.284964480954*v_R4_a_i - 24.9575997948692*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r + 54.0657727682604*v_R4_c_i + 105.57176931318*v_R4_c_r - 10.2713736253514*v_R4_n_i - 39.6392229058201*v_R4_n_r + 46.569928961908*v_R5_a_i + 49.9151995897384*v_R5_a_r + 20.5427472507027*v_R5_b_i + 79.2784458116404*v_R5_b_r - 108.131545536521*v_R5_c_i - 211.14353862636*v_R5_c_r + 20.5427472507027*v_R5_n_i + 79.2784458116403*v_R5_n_r - 23.284964480954*v_R6_a_i - 24.9575997948692*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r + 54.0657727682604*v_R6_c_i + 105.57176931318*v_R6_c_r - 10.2713736253514*v_R6_n_i - 39.6392229058201*v_R6_n_r
struct[0].g[77,0] = i_R5_c_i - 24.9575997948692*v_R4_a_i + 23.284964480954*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r + 105.57176931318*v_R4_c_i - 54.0657727682604*v_R4_c_r - 39.6392229058201*v_R4_n_i + 10.2713736253514*v_R4_n_r + 49.9151995897384*v_R5_a_i - 46.569928961908*v_R5_a_r + 79.2784458116404*v_R5_b_i - 20.5427472507027*v_R5_b_r - 211.14353862636*v_R5_c_i + 108.131545536521*v_R5_c_r + 79.2784458116403*v_R5_n_i - 20.5427472507027*v_R5_n_r - 24.9575997948692*v_R6_a_i + 23.284964480954*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r + 105.57176931318*v_R6_c_i - 54.0657727682604*v_R6_c_r - 39.6392229058201*v_R6_n_i + 10.2713736253514*v_R6_n_r
struct[0].g[78,0] = i_R5_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r - 23.284964480954*v_R4_b_i - 24.9575997948692*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058202*v_R4_c_r + 54.0657727682604*v_R4_n_i + 105.57176931318*v_R4_n_r + 20.5427472507027*v_R5_a_i + 79.2784458116403*v_R5_a_r + 46.569928961908*v_R5_b_i + 49.9151995897384*v_R5_b_r + 20.5427472507027*v_R5_c_i + 79.2784458116403*v_R5_c_r - 108.131545536521*v_R5_n_i - 211.14353862636*v_R5_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r - 23.284964480954*v_R6_b_i - 24.9575997948692*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058202*v_R6_c_r + 54.0657727682604*v_R6_n_i + 105.57176931318*v_R6_n_r
struct[0].g[79,0] = i_R5_n_i - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r - 24.9575997948692*v_R4_b_i + 23.284964480954*v_R4_b_r - 39.6392229058202*v_R4_c_i + 10.2713736253513*v_R4_c_r + 105.57176931318*v_R4_n_i - 54.0657727682604*v_R4_n_r + 79.2784458116403*v_R5_a_i - 20.5427472507027*v_R5_a_r + 49.9151995897384*v_R5_b_i - 46.569928961908*v_R5_b_r + 79.2784458116403*v_R5_c_i - 20.5427472507027*v_R5_c_r - 211.14353862636*v_R5_n_i + 108.131545536521*v_R5_n_r - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r - 24.9575997948692*v_R6_b_i + 23.284964480954*v_R6_b_r - 39.6392229058202*v_R6_c_i + 10.2713736253513*v_R6_c_r + 105.57176931318*v_R6_n_i - 54.0657727682604*v_R6_n_r
struct[0].g[80,0] = i_R6_a_r + 5.65456401516768*v_R16_a_i + 30.9517475172273*v_R16_a_r + 1.84896616921897*v_R16_b_i - 9.21038227100566*v_R16_b_r + 0.793238195499529*v_R16_c_i - 9.00835072044485*v_R16_c_r + 1.84896616921897*v_R16_n_i - 9.21038227100566*v_R16_n_r + 54.0657727682604*v_R5_a_i + 105.57176931318*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r - 23.284964480954*v_R5_c_i - 24.9575997948692*v_R5_c_r - 10.2713736253513*v_R5_n_i - 39.6392229058202*v_R5_n_r - 113.786109551688*v_R6_a_i - 242.095286143588*v_R6_a_r + 18.6937810814837*v_R6_b_i + 88.488828082646*v_R6_b_r + 45.7766907664085*v_R6_c_i + 58.9235503101833*v_R6_c_r + 18.6937810814837*v_R6_n_i + 88.488828082646*v_R6_n_r + 54.0657727682604*v_R7_a_i + 105.57176931318*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r - 23.284964480954*v_R7_c_i - 24.9575997948692*v_R7_c_r - 10.2713736253513*v_R7_n_i - 39.6392229058202*v_R7_n_r
struct[0].g[81,0] = i_R6_a_i + 30.9517475172273*v_R16_a_i - 5.65456401516768*v_R16_a_r - 9.21038227100566*v_R16_b_i - 1.84896616921897*v_R16_b_r - 9.00835072044485*v_R16_c_i - 0.793238195499529*v_R16_c_r - 9.21038227100566*v_R16_n_i - 1.84896616921897*v_R16_n_r + 105.57176931318*v_R5_a_i - 54.0657727682604*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r - 24.9575997948692*v_R5_c_i + 23.284964480954*v_R5_c_r - 39.6392229058202*v_R5_n_i + 10.2713736253513*v_R5_n_r - 242.095286143588*v_R6_a_i + 113.786109551688*v_R6_a_r + 88.488828082646*v_R6_b_i - 18.6937810814837*v_R6_b_r + 58.9235503101833*v_R6_c_i - 45.7766907664085*v_R6_c_r + 88.488828082646*v_R6_n_i - 18.6937810814837*v_R6_n_r + 105.57176931318*v_R7_a_i - 54.0657727682604*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r - 24.9575997948692*v_R7_c_i + 23.284964480954*v_R7_c_r - 39.6392229058202*v_R7_n_i + 10.2713736253513*v_R7_n_r
struct[0].g[82,0] = i_R6_b_r + 1.84896616921897*v_R16_a_i - 9.21038227100566*v_R16_a_r + 5.65456401516768*v_R16_b_i + 30.9517475172273*v_R16_b_r + 1.84896616921897*v_R16_c_i - 9.21038227100566*v_R16_c_r + 0.793238195499528*v_R16_n_i - 9.00835072044485*v_R16_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r + 54.0657727682604*v_R5_b_i + 105.57176931318*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058201*v_R5_c_r - 23.284964480954*v_R5_n_i - 24.9575997948692*v_R5_n_r + 18.6937810814837*v_R6_a_i + 88.488828082646*v_R6_a_r - 113.786109551688*v_R6_b_i - 242.095286143588*v_R6_b_r + 18.6937810814837*v_R6_c_i + 88.488828082646*v_R6_c_r + 45.7766907664085*v_R6_n_i + 58.9235503101833*v_R6_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r + 54.0657727682604*v_R7_b_i + 105.57176931318*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058201*v_R7_c_r - 23.284964480954*v_R7_n_i - 24.9575997948692*v_R7_n_r
struct[0].g[83,0] = i_R6_b_i - 9.21038227100566*v_R16_a_i - 1.84896616921897*v_R16_a_r + 30.9517475172273*v_R16_b_i - 5.65456401516768*v_R16_b_r - 9.21038227100566*v_R16_c_i - 1.84896616921897*v_R16_c_r - 9.00835072044485*v_R16_n_i - 0.793238195499528*v_R16_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r + 105.57176931318*v_R5_b_i - 54.0657727682604*v_R5_b_r - 39.6392229058201*v_R5_c_i + 10.2713736253513*v_R5_c_r - 24.9575997948692*v_R5_n_i + 23.284964480954*v_R5_n_r + 88.488828082646*v_R6_a_i - 18.6937810814837*v_R6_a_r - 242.095286143588*v_R6_b_i + 113.786109551688*v_R6_b_r + 88.488828082646*v_R6_c_i - 18.6937810814837*v_R6_c_r + 58.9235503101833*v_R6_n_i - 45.7766907664085*v_R6_n_r - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r + 105.57176931318*v_R7_b_i - 54.0657727682604*v_R7_b_r - 39.6392229058201*v_R7_c_i + 10.2713736253513*v_R7_c_r - 24.9575997948692*v_R7_n_i + 23.284964480954*v_R7_n_r
struct[0].g[84,0] = i_R6_c_r + 0.793238195499527*v_R16_a_i - 9.00835072044484*v_R16_a_r + 1.84896616921897*v_R16_b_i - 9.21038227100566*v_R16_b_r + 5.65456401516768*v_R16_c_i + 30.9517475172273*v_R16_c_r + 1.84896616921897*v_R16_n_i - 9.21038227100566*v_R16_n_r - 23.284964480954*v_R5_a_i - 24.9575997948692*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r + 54.0657727682604*v_R5_c_i + 105.57176931318*v_R5_c_r - 10.2713736253514*v_R5_n_i - 39.6392229058201*v_R5_n_r + 45.7766907664085*v_R6_a_i + 58.9235503101833*v_R6_a_r + 18.6937810814837*v_R6_b_i + 88.4888280826461*v_R6_b_r - 113.786109551688*v_R6_c_i - 242.095286143588*v_R6_c_r + 18.6937810814837*v_R6_n_i + 88.4888280826459*v_R6_n_r - 23.284964480954*v_R7_a_i - 24.9575997948692*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r + 54.0657727682604*v_R7_c_i + 105.57176931318*v_R7_c_r - 10.2713736253514*v_R7_n_i - 39.6392229058201*v_R7_n_r
struct[0].g[85,0] = i_R6_c_i - 9.00835072044484*v_R16_a_i - 0.793238195499527*v_R16_a_r - 9.21038227100566*v_R16_b_i - 1.84896616921897*v_R16_b_r + 30.9517475172273*v_R16_c_i - 5.65456401516768*v_R16_c_r - 9.21038227100566*v_R16_n_i - 1.84896616921897*v_R16_n_r - 24.9575997948692*v_R5_a_i + 23.284964480954*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r + 105.57176931318*v_R5_c_i - 54.0657727682604*v_R5_c_r - 39.6392229058201*v_R5_n_i + 10.2713736253514*v_R5_n_r + 58.9235503101833*v_R6_a_i - 45.7766907664085*v_R6_a_r + 88.4888280826461*v_R6_b_i - 18.6937810814837*v_R6_b_r - 242.095286143588*v_R6_c_i + 113.786109551688*v_R6_c_r + 88.4888280826459*v_R6_n_i - 18.6937810814837*v_R6_n_r - 24.9575997948692*v_R7_a_i + 23.284964480954*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r + 105.57176931318*v_R7_c_i - 54.0657727682604*v_R7_c_r - 39.6392229058201*v_R7_n_i + 10.2713736253514*v_R7_n_r
struct[0].g[86,0] = i_R6_n_r + 1.84896616921897*v_R16_a_i - 9.21038227100566*v_R16_a_r + 0.793238195499527*v_R16_b_i - 9.00835072044485*v_R16_b_r + 1.84896616921897*v_R16_c_i - 9.21038227100566*v_R16_c_r + 5.65456401516768*v_R16_n_i + 30.9517475172273*v_R16_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r - 23.284964480954*v_R5_b_i - 24.9575997948692*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058202*v_R5_c_r + 54.0657727682604*v_R5_n_i + 105.57176931318*v_R5_n_r + 18.6937810814837*v_R6_a_i + 88.488828082646*v_R6_a_r + 45.7766907664085*v_R6_b_i + 58.9235503101832*v_R6_b_r + 18.6937810814837*v_R6_c_i + 88.488828082646*v_R6_c_r - 113.786109551688*v_R6_n_i - 242.120286143588*v_R6_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r - 23.284964480954*v_R7_b_i - 24.9575997948692*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058202*v_R7_c_r + 54.0657727682604*v_R7_n_i + 105.57176931318*v_R7_n_r
struct[0].g[87,0] = i_R6_n_i - 9.21038227100566*v_R16_a_i - 1.84896616921897*v_R16_a_r - 9.00835072044485*v_R16_b_i - 0.793238195499527*v_R16_b_r - 9.21038227100566*v_R16_c_i - 1.84896616921897*v_R16_c_r + 30.9517475172273*v_R16_n_i - 5.65456401516768*v_R16_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r - 24.9575997948692*v_R5_b_i + 23.284964480954*v_R5_b_r - 39.6392229058202*v_R5_c_i + 10.2713736253513*v_R5_c_r + 105.57176931318*v_R5_n_i - 54.0657727682604*v_R5_n_r + 88.488828082646*v_R6_a_i - 18.6937810814837*v_R6_a_r + 58.9235503101832*v_R6_b_i - 45.7766907664085*v_R6_b_r + 88.488828082646*v_R6_c_i - 18.6937810814837*v_R6_c_r - 242.120286143588*v_R6_n_i + 113.786109551688*v_R6_n_r - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r - 24.9575997948692*v_R7_b_i + 23.284964480954*v_R7_b_r - 39.6392229058202*v_R7_c_i + 10.2713736253513*v_R7_c_r + 105.57176931318*v_R7_n_i - 54.0657727682604*v_R7_n_r
struct[0].g[88,0] = i_R7_a_r + 54.0657727682604*v_R6_a_i + 105.57176931318*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r - 23.284964480954*v_R6_c_i - 24.9575997948692*v_R6_c_r - 10.2713736253513*v_R6_n_i - 39.6392229058202*v_R6_n_r - 108.131545536521*v_R7_a_i - 211.14353862636*v_R7_a_r + 20.5427472507027*v_R7_b_i + 79.2784458116403*v_R7_b_r + 46.569928961908*v_R7_c_i + 49.9151995897384*v_R7_c_r + 20.5427472507027*v_R7_n_i + 79.2784458116403*v_R7_n_r + 54.0657727682604*v_R8_a_i + 105.57176931318*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r - 23.284964480954*v_R8_c_i - 24.9575997948692*v_R8_c_r - 10.2713736253513*v_R8_n_i - 39.6392229058202*v_R8_n_r
struct[0].g[89,0] = i_R7_a_i + 105.57176931318*v_R6_a_i - 54.0657727682604*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r - 24.9575997948692*v_R6_c_i + 23.284964480954*v_R6_c_r - 39.6392229058202*v_R6_n_i + 10.2713736253513*v_R6_n_r - 211.14353862636*v_R7_a_i + 108.131545536521*v_R7_a_r + 79.2784458116403*v_R7_b_i - 20.5427472507027*v_R7_b_r + 49.9151995897384*v_R7_c_i - 46.569928961908*v_R7_c_r + 79.2784458116403*v_R7_n_i - 20.5427472507027*v_R7_n_r + 105.57176931318*v_R8_a_i - 54.0657727682604*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r - 24.9575997948692*v_R8_c_i + 23.284964480954*v_R8_c_r - 39.6392229058202*v_R8_n_i + 10.2713736253513*v_R8_n_r
struct[0].g[90,0] = i_R7_b_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r + 54.0657727682604*v_R6_b_i + 105.57176931318*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058201*v_R6_c_r - 23.284964480954*v_R6_n_i - 24.9575997948692*v_R6_n_r + 20.5427472507027*v_R7_a_i + 79.2784458116403*v_R7_a_r - 108.131545536521*v_R7_b_i - 211.14353862636*v_R7_b_r + 20.5427472507027*v_R7_c_i + 79.2784458116403*v_R7_c_r + 46.569928961908*v_R7_n_i + 49.9151995897384*v_R7_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r + 54.0657727682604*v_R8_b_i + 105.57176931318*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058201*v_R8_c_r - 23.284964480954*v_R8_n_i - 24.9575997948692*v_R8_n_r
struct[0].g[91,0] = i_R7_b_i - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r + 105.57176931318*v_R6_b_i - 54.0657727682604*v_R6_b_r - 39.6392229058201*v_R6_c_i + 10.2713736253513*v_R6_c_r - 24.9575997948692*v_R6_n_i + 23.284964480954*v_R6_n_r + 79.2784458116403*v_R7_a_i - 20.5427472507027*v_R7_a_r - 211.14353862636*v_R7_b_i + 108.131545536521*v_R7_b_r + 79.2784458116403*v_R7_c_i - 20.5427472507027*v_R7_c_r + 49.9151995897384*v_R7_n_i - 46.569928961908*v_R7_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r + 105.57176931318*v_R8_b_i - 54.0657727682604*v_R8_b_r - 39.6392229058201*v_R8_c_i + 10.2713736253513*v_R8_c_r - 24.9575997948692*v_R8_n_i + 23.284964480954*v_R8_n_r
struct[0].g[92,0] = i_R7_c_r - 23.284964480954*v_R6_a_i - 24.9575997948692*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r + 54.0657727682604*v_R6_c_i + 105.57176931318*v_R6_c_r - 10.2713736253514*v_R6_n_i - 39.6392229058201*v_R6_n_r + 46.569928961908*v_R7_a_i + 49.9151995897384*v_R7_a_r + 20.5427472507027*v_R7_b_i + 79.2784458116404*v_R7_b_r - 108.131545536521*v_R7_c_i - 211.14353862636*v_R7_c_r + 20.5427472507027*v_R7_n_i + 79.2784458116403*v_R7_n_r - 23.284964480954*v_R8_a_i - 24.9575997948692*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r + 54.0657727682604*v_R8_c_i + 105.57176931318*v_R8_c_r - 10.2713736253514*v_R8_n_i - 39.6392229058201*v_R8_n_r
struct[0].g[93,0] = i_R7_c_i - 24.9575997948692*v_R6_a_i + 23.284964480954*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r + 105.57176931318*v_R6_c_i - 54.0657727682604*v_R6_c_r - 39.6392229058201*v_R6_n_i + 10.2713736253514*v_R6_n_r + 49.9151995897384*v_R7_a_i - 46.569928961908*v_R7_a_r + 79.2784458116404*v_R7_b_i - 20.5427472507027*v_R7_b_r - 211.14353862636*v_R7_c_i + 108.131545536521*v_R7_c_r + 79.2784458116403*v_R7_n_i - 20.5427472507027*v_R7_n_r - 24.9575997948692*v_R8_a_i + 23.284964480954*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r + 105.57176931318*v_R8_c_i - 54.0657727682604*v_R8_c_r - 39.6392229058201*v_R8_n_i + 10.2713736253514*v_R8_n_r
struct[0].g[94,0] = i_R7_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r - 23.284964480954*v_R6_b_i - 24.9575997948692*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058202*v_R6_c_r + 54.0657727682604*v_R6_n_i + 105.57176931318*v_R6_n_r + 20.5427472507027*v_R7_a_i + 79.2784458116403*v_R7_a_r + 46.569928961908*v_R7_b_i + 49.9151995897384*v_R7_b_r + 20.5427472507027*v_R7_c_i + 79.2784458116403*v_R7_c_r - 108.131545536521*v_R7_n_i - 211.14353862636*v_R7_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r - 23.284964480954*v_R8_b_i - 24.9575997948692*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058202*v_R8_c_r + 54.0657727682604*v_R8_n_i + 105.57176931318*v_R8_n_r
struct[0].g[95,0] = i_R7_n_i - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r - 24.9575997948692*v_R6_b_i + 23.284964480954*v_R6_b_r - 39.6392229058202*v_R6_c_i + 10.2713736253513*v_R6_c_r + 105.57176931318*v_R6_n_i - 54.0657727682604*v_R6_n_r + 79.2784458116403*v_R7_a_i - 20.5427472507027*v_R7_a_r + 49.9151995897384*v_R7_b_i - 46.569928961908*v_R7_b_r + 79.2784458116403*v_R7_c_i - 20.5427472507027*v_R7_c_r - 211.14353862636*v_R7_n_i + 108.131545536521*v_R7_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r - 24.9575997948692*v_R8_b_i + 23.284964480954*v_R8_b_r - 39.6392229058202*v_R8_c_i + 10.2713736253513*v_R8_c_r + 105.57176931318*v_R8_n_i - 54.0657727682604*v_R8_n_r
struct[0].g[96,0] = i_R8_a_r + 54.0657727682604*v_R7_a_i + 105.57176931318*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r - 23.284964480954*v_R7_c_i - 24.9575997948692*v_R7_c_r - 10.2713736253513*v_R7_n_i - 39.6392229058202*v_R7_n_r - 108.131545536521*v_R8_a_i - 211.14353862636*v_R8_a_r + 20.5427472507027*v_R8_b_i + 79.2784458116403*v_R8_b_r + 46.569928961908*v_R8_c_i + 49.9151995897384*v_R8_c_r + 20.5427472507027*v_R8_n_i + 79.2784458116403*v_R8_n_r + 54.0657727682604*v_R9_a_i + 105.57176931318*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r - 23.284964480954*v_R9_c_i - 24.9575997948692*v_R9_c_r - 10.2713736253513*v_R9_n_i - 39.6392229058202*v_R9_n_r
struct[0].g[97,0] = i_R8_a_i + 105.57176931318*v_R7_a_i - 54.0657727682604*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r - 24.9575997948692*v_R7_c_i + 23.284964480954*v_R7_c_r - 39.6392229058202*v_R7_n_i + 10.2713736253513*v_R7_n_r - 211.14353862636*v_R8_a_i + 108.131545536521*v_R8_a_r + 79.2784458116403*v_R8_b_i - 20.5427472507027*v_R8_b_r + 49.9151995897384*v_R8_c_i - 46.569928961908*v_R8_c_r + 79.2784458116403*v_R8_n_i - 20.5427472507027*v_R8_n_r + 105.57176931318*v_R9_a_i - 54.0657727682604*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r - 24.9575997948692*v_R9_c_i + 23.284964480954*v_R9_c_r - 39.6392229058202*v_R9_n_i + 10.2713736253513*v_R9_n_r
struct[0].g[98,0] = i_R8_b_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r + 54.0657727682604*v_R7_b_i + 105.57176931318*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058201*v_R7_c_r - 23.284964480954*v_R7_n_i - 24.9575997948692*v_R7_n_r + 20.5427472507027*v_R8_a_i + 79.2784458116403*v_R8_a_r - 108.131545536521*v_R8_b_i - 211.14353862636*v_R8_b_r + 20.5427472507027*v_R8_c_i + 79.2784458116403*v_R8_c_r + 46.569928961908*v_R8_n_i + 49.9151995897384*v_R8_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r + 54.0657727682604*v_R9_b_i + 105.57176931318*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058201*v_R9_c_r - 23.284964480954*v_R9_n_i - 24.9575997948692*v_R9_n_r
struct[0].g[99,0] = i_R8_b_i - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r + 105.57176931318*v_R7_b_i - 54.0657727682604*v_R7_b_r - 39.6392229058201*v_R7_c_i + 10.2713736253513*v_R7_c_r - 24.9575997948692*v_R7_n_i + 23.284964480954*v_R7_n_r + 79.2784458116403*v_R8_a_i - 20.5427472507027*v_R8_a_r - 211.14353862636*v_R8_b_i + 108.131545536521*v_R8_b_r + 79.2784458116403*v_R8_c_i - 20.5427472507027*v_R8_c_r + 49.9151995897384*v_R8_n_i - 46.569928961908*v_R8_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r + 105.57176931318*v_R9_b_i - 54.0657727682604*v_R9_b_r - 39.6392229058201*v_R9_c_i + 10.2713736253513*v_R9_c_r - 24.9575997948692*v_R9_n_i + 23.284964480954*v_R9_n_r
struct[0].g[100,0] = i_R8_c_r - 23.284964480954*v_R7_a_i - 24.9575997948692*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r + 54.0657727682604*v_R7_c_i + 105.57176931318*v_R7_c_r - 10.2713736253514*v_R7_n_i - 39.6392229058201*v_R7_n_r + 46.569928961908*v_R8_a_i + 49.9151995897384*v_R8_a_r + 20.5427472507027*v_R8_b_i + 79.2784458116404*v_R8_b_r - 108.131545536521*v_R8_c_i - 211.14353862636*v_R8_c_r + 20.5427472507027*v_R8_n_i + 79.2784458116403*v_R8_n_r - 23.284964480954*v_R9_a_i - 24.9575997948692*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r + 54.0657727682604*v_R9_c_i + 105.57176931318*v_R9_c_r - 10.2713736253514*v_R9_n_i - 39.6392229058201*v_R9_n_r
struct[0].g[101,0] = i_R8_c_i - 24.9575997948692*v_R7_a_i + 23.284964480954*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r + 105.57176931318*v_R7_c_i - 54.0657727682604*v_R7_c_r - 39.6392229058201*v_R7_n_i + 10.2713736253514*v_R7_n_r + 49.9151995897384*v_R8_a_i - 46.569928961908*v_R8_a_r + 79.2784458116404*v_R8_b_i - 20.5427472507027*v_R8_b_r - 211.14353862636*v_R8_c_i + 108.131545536521*v_R8_c_r + 79.2784458116403*v_R8_n_i - 20.5427472507027*v_R8_n_r - 24.9575997948692*v_R9_a_i + 23.284964480954*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r + 105.57176931318*v_R9_c_i - 54.0657727682604*v_R9_c_r - 39.6392229058201*v_R9_n_i + 10.2713736253514*v_R9_n_r
struct[0].g[102,0] = i_R8_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r - 23.284964480954*v_R7_b_i - 24.9575997948692*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058202*v_R7_c_r + 54.0657727682604*v_R7_n_i + 105.57176931318*v_R7_n_r + 20.5427472507027*v_R8_a_i + 79.2784458116403*v_R8_a_r + 46.569928961908*v_R8_b_i + 49.9151995897384*v_R8_b_r + 20.5427472507027*v_R8_c_i + 79.2784458116403*v_R8_c_r - 108.131545536521*v_R8_n_i - 211.16853862636*v_R8_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r - 23.284964480954*v_R9_b_i - 24.9575997948692*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058202*v_R9_c_r + 54.0657727682604*v_R9_n_i + 105.57176931318*v_R9_n_r
struct[0].g[103,0] = i_R8_n_i - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r - 24.9575997948692*v_R7_b_i + 23.284964480954*v_R7_b_r - 39.6392229058202*v_R7_c_i + 10.2713736253513*v_R7_c_r + 105.57176931318*v_R7_n_i - 54.0657727682604*v_R7_n_r + 79.2784458116403*v_R8_a_i - 20.5427472507027*v_R8_a_r + 49.9151995897384*v_R8_b_i - 46.569928961908*v_R8_b_r + 79.2784458116403*v_R8_c_i - 20.5427472507027*v_R8_c_r - 211.16853862636*v_R8_n_i + 108.131545536521*v_R8_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r - 24.9575997948692*v_R9_b_i + 23.284964480954*v_R9_b_r - 39.6392229058202*v_R9_c_i + 10.2713736253513*v_R9_c_r + 105.57176931318*v_R9_n_i - 54.0657727682604*v_R9_n_r
struct[0].g[104,0] = i_R9_a_r + 54.0657727682604*v_R10_a_i + 105.57176931318*v_R10_a_r - 10.2713736253513*v_R10_b_i - 39.6392229058202*v_R10_b_r - 23.284964480954*v_R10_c_i - 24.9575997948692*v_R10_c_r - 10.2713736253513*v_R10_n_i - 39.6392229058202*v_R10_n_r + 5.65456401516768*v_R17_a_i + 30.9517475172273*v_R17_a_r + 1.84896616921897*v_R17_b_i - 9.21038227100566*v_R17_b_r + 0.793238195499529*v_R17_c_i - 9.00835072044485*v_R17_c_r + 1.84896616921897*v_R17_n_i - 9.21038227100566*v_R17_n_r + 54.0657727682604*v_R8_a_i + 105.57176931318*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r - 23.284964480954*v_R8_c_i - 24.9575997948692*v_R8_c_r - 10.2713736253513*v_R8_n_i - 39.6392229058202*v_R8_n_r - 113.786109551688*v_R9_a_i - 242.095286143588*v_R9_a_r + 18.6937810814837*v_R9_b_i + 88.488828082646*v_R9_b_r + 45.7766907664085*v_R9_c_i + 58.9235503101833*v_R9_c_r + 18.6937810814837*v_R9_n_i + 88.488828082646*v_R9_n_r
struct[0].g[105,0] = i_R9_a_i + 105.57176931318*v_R10_a_i - 54.0657727682604*v_R10_a_r - 39.6392229058202*v_R10_b_i + 10.2713736253513*v_R10_b_r - 24.9575997948692*v_R10_c_i + 23.284964480954*v_R10_c_r - 39.6392229058202*v_R10_n_i + 10.2713736253513*v_R10_n_r + 30.9517475172273*v_R17_a_i - 5.65456401516768*v_R17_a_r - 9.21038227100566*v_R17_b_i - 1.84896616921897*v_R17_b_r - 9.00835072044485*v_R17_c_i - 0.793238195499529*v_R17_c_r - 9.21038227100566*v_R17_n_i - 1.84896616921897*v_R17_n_r + 105.57176931318*v_R8_a_i - 54.0657727682604*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r - 24.9575997948692*v_R8_c_i + 23.284964480954*v_R8_c_r - 39.6392229058202*v_R8_n_i + 10.2713736253513*v_R8_n_r - 242.095286143588*v_R9_a_i + 113.786109551688*v_R9_a_r + 88.488828082646*v_R9_b_i - 18.6937810814837*v_R9_b_r + 58.9235503101833*v_R9_c_i - 45.7766907664085*v_R9_c_r + 88.488828082646*v_R9_n_i - 18.6937810814837*v_R9_n_r
struct[0].g[106,0] = i_R9_b_r - 10.2713736253513*v_R10_a_i - 39.6392229058202*v_R10_a_r + 54.0657727682604*v_R10_b_i + 105.57176931318*v_R10_b_r - 10.2713736253513*v_R10_c_i - 39.6392229058201*v_R10_c_r - 23.284964480954*v_R10_n_i - 24.9575997948692*v_R10_n_r + 1.84896616921897*v_R17_a_i - 9.21038227100566*v_R17_a_r + 5.65456401516768*v_R17_b_i + 30.9517475172273*v_R17_b_r + 1.84896616921897*v_R17_c_i - 9.21038227100566*v_R17_c_r + 0.793238195499528*v_R17_n_i - 9.00835072044485*v_R17_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r + 54.0657727682604*v_R8_b_i + 105.57176931318*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058201*v_R8_c_r - 23.284964480954*v_R8_n_i - 24.9575997948692*v_R8_n_r + 18.6937810814837*v_R9_a_i + 88.488828082646*v_R9_a_r - 113.786109551688*v_R9_b_i - 242.095286143588*v_R9_b_r + 18.6937810814837*v_R9_c_i + 88.488828082646*v_R9_c_r + 45.7766907664085*v_R9_n_i + 58.9235503101833*v_R9_n_r
struct[0].g[107,0] = i_R9_b_i - 39.6392229058202*v_R10_a_i + 10.2713736253513*v_R10_a_r + 105.57176931318*v_R10_b_i - 54.0657727682604*v_R10_b_r - 39.6392229058201*v_R10_c_i + 10.2713736253513*v_R10_c_r - 24.9575997948692*v_R10_n_i + 23.284964480954*v_R10_n_r - 9.21038227100566*v_R17_a_i - 1.84896616921897*v_R17_a_r + 30.9517475172273*v_R17_b_i - 5.65456401516768*v_R17_b_r - 9.21038227100566*v_R17_c_i - 1.84896616921897*v_R17_c_r - 9.00835072044485*v_R17_n_i - 0.793238195499528*v_R17_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r + 105.57176931318*v_R8_b_i - 54.0657727682604*v_R8_b_r - 39.6392229058201*v_R8_c_i + 10.2713736253513*v_R8_c_r - 24.9575997948692*v_R8_n_i + 23.284964480954*v_R8_n_r + 88.488828082646*v_R9_a_i - 18.6937810814837*v_R9_a_r - 242.095286143588*v_R9_b_i + 113.786109551688*v_R9_b_r + 88.488828082646*v_R9_c_i - 18.6937810814837*v_R9_c_r + 58.9235503101833*v_R9_n_i - 45.7766907664085*v_R9_n_r
struct[0].g[108,0] = i_R9_c_r - 23.284964480954*v_R10_a_i - 24.9575997948692*v_R10_a_r - 10.2713736253513*v_R10_b_i - 39.6392229058202*v_R10_b_r + 54.0657727682604*v_R10_c_i + 105.57176931318*v_R10_c_r - 10.2713736253514*v_R10_n_i - 39.6392229058201*v_R10_n_r + 0.793238195499527*v_R17_a_i - 9.00835072044484*v_R17_a_r + 1.84896616921897*v_R17_b_i - 9.21038227100566*v_R17_b_r + 5.65456401516768*v_R17_c_i + 30.9517475172273*v_R17_c_r + 1.84896616921897*v_R17_n_i - 9.21038227100566*v_R17_n_r - 23.284964480954*v_R8_a_i - 24.9575997948692*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r + 54.0657727682604*v_R8_c_i + 105.57176931318*v_R8_c_r - 10.2713736253514*v_R8_n_i - 39.6392229058201*v_R8_n_r + 45.7766907664085*v_R9_a_i + 58.9235503101833*v_R9_a_r + 18.6937810814837*v_R9_b_i + 88.4888280826461*v_R9_b_r - 113.786109551688*v_R9_c_i - 242.095286143588*v_R9_c_r + 18.6937810814837*v_R9_n_i + 88.4888280826459*v_R9_n_r
struct[0].g[109,0] = i_R9_c_i - 24.9575997948692*v_R10_a_i + 23.284964480954*v_R10_a_r - 39.6392229058202*v_R10_b_i + 10.2713736253513*v_R10_b_r + 105.57176931318*v_R10_c_i - 54.0657727682604*v_R10_c_r - 39.6392229058201*v_R10_n_i + 10.2713736253514*v_R10_n_r - 9.00835072044484*v_R17_a_i - 0.793238195499527*v_R17_a_r - 9.21038227100566*v_R17_b_i - 1.84896616921897*v_R17_b_r + 30.9517475172273*v_R17_c_i - 5.65456401516768*v_R17_c_r - 9.21038227100566*v_R17_n_i - 1.84896616921897*v_R17_n_r - 24.9575997948692*v_R8_a_i + 23.284964480954*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r + 105.57176931318*v_R8_c_i - 54.0657727682604*v_R8_c_r - 39.6392229058201*v_R8_n_i + 10.2713736253514*v_R8_n_r + 58.9235503101833*v_R9_a_i - 45.7766907664085*v_R9_a_r + 88.4888280826461*v_R9_b_i - 18.6937810814837*v_R9_b_r - 242.095286143588*v_R9_c_i + 113.786109551688*v_R9_c_r + 88.4888280826459*v_R9_n_i - 18.6937810814837*v_R9_n_r
struct[0].g[110,0] = i_R9_n_r - 10.2713736253513*v_R10_a_i - 39.6392229058202*v_R10_a_r - 23.284964480954*v_R10_b_i - 24.9575997948692*v_R10_b_r - 10.2713736253513*v_R10_c_i - 39.6392229058202*v_R10_c_r + 54.0657727682604*v_R10_n_i + 105.57176931318*v_R10_n_r + 1.84896616921897*v_R17_a_i - 9.21038227100566*v_R17_a_r + 0.793238195499527*v_R17_b_i - 9.00835072044485*v_R17_b_r + 1.84896616921897*v_R17_c_i - 9.21038227100566*v_R17_c_r + 5.65456401516768*v_R17_n_i + 30.9517475172273*v_R17_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r - 23.284964480954*v_R8_b_i - 24.9575997948692*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058202*v_R8_c_r + 54.0657727682604*v_R8_n_i + 105.57176931318*v_R8_n_r + 18.6937810814837*v_R9_a_i + 88.488828082646*v_R9_a_r + 45.7766907664085*v_R9_b_i + 58.9235503101832*v_R9_b_r + 18.6937810814837*v_R9_c_i + 88.488828082646*v_R9_c_r - 113.786109551688*v_R9_n_i - 242.095286143588*v_R9_n_r
struct[0].g[111,0] = i_R9_n_i - 39.6392229058202*v_R10_a_i + 10.2713736253513*v_R10_a_r - 24.9575997948692*v_R10_b_i + 23.284964480954*v_R10_b_r - 39.6392229058202*v_R10_c_i + 10.2713736253513*v_R10_c_r + 105.57176931318*v_R10_n_i - 54.0657727682604*v_R10_n_r - 9.21038227100566*v_R17_a_i - 1.84896616921897*v_R17_a_r - 9.00835072044485*v_R17_b_i - 0.793238195499527*v_R17_b_r - 9.21038227100566*v_R17_c_i - 1.84896616921897*v_R17_c_r + 30.9517475172273*v_R17_n_i - 5.65456401516768*v_R17_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r - 24.9575997948692*v_R8_b_i + 23.284964480954*v_R8_b_r - 39.6392229058202*v_R8_c_i + 10.2713736253513*v_R8_c_r + 105.57176931318*v_R8_n_i - 54.0657727682604*v_R8_n_r + 88.488828082646*v_R9_a_i - 18.6937810814837*v_R9_a_r + 58.9235503101832*v_R9_b_i - 45.7766907664085*v_R9_b_r + 88.488828082646*v_R9_c_i - 18.6937810814837*v_R9_c_r - 242.095286143588*v_R9_n_i + 113.786109551688*v_R9_n_r
struct[0].g[112,0] = i_R10_a_r - 59.7203367834281*v_R10_a_i - 136.523516830407*v_R10_a_r + 8.42240745613237*v_R10_b_i + 48.8496051768258*v_R10_b_r + 22.4917262854545*v_R10_c_i + 33.9659505153141*v_R10_c_r + 8.42240745613237*v_R10_n_i + 48.8496051768258*v_R10_n_r + 5.65456401516768*v_R18_a_i + 30.9517475172273*v_R18_a_r + 1.84896616921897*v_R18_b_i - 9.21038227100566*v_R18_b_r + 0.793238195499529*v_R18_c_i - 9.00835072044485*v_R18_c_r + 1.84896616921897*v_R18_n_i - 9.21038227100566*v_R18_n_r + 54.0657727682604*v_R9_a_i + 105.57176931318*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r - 23.284964480954*v_R9_c_i - 24.9575997948692*v_R9_c_r - 10.2713736253513*v_R9_n_i - 39.6392229058202*v_R9_n_r
struct[0].g[113,0] = i_R10_a_i - 136.523516830407*v_R10_a_i + 59.7203367834281*v_R10_a_r + 48.8496051768258*v_R10_b_i - 8.42240745613237*v_R10_b_r + 33.9659505153141*v_R10_c_i - 22.4917262854545*v_R10_c_r + 48.8496051768258*v_R10_n_i - 8.42240745613237*v_R10_n_r + 30.9517475172273*v_R18_a_i - 5.65456401516768*v_R18_a_r - 9.21038227100566*v_R18_b_i - 1.84896616921897*v_R18_b_r - 9.00835072044485*v_R18_c_i - 0.793238195499529*v_R18_c_r - 9.21038227100566*v_R18_n_i - 1.84896616921897*v_R18_n_r + 105.57176931318*v_R9_a_i - 54.0657727682604*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r - 24.9575997948692*v_R9_c_i + 23.284964480954*v_R9_c_r - 39.6392229058202*v_R9_n_i + 10.2713736253513*v_R9_n_r
struct[0].g[114,0] = i_R10_b_r + 8.42240745613237*v_R10_a_i + 48.8496051768258*v_R10_a_r - 59.720336783428*v_R10_b_i - 136.523516830407*v_R10_b_r + 8.42240745613238*v_R10_c_i + 48.8496051768258*v_R10_c_r + 22.4917262854545*v_R10_n_i + 33.9659505153141*v_R10_n_r + 1.84896616921897*v_R18_a_i - 9.21038227100566*v_R18_a_r + 5.65456401516768*v_R18_b_i + 30.9517475172273*v_R18_b_r + 1.84896616921897*v_R18_c_i - 9.21038227100566*v_R18_c_r + 0.793238195499528*v_R18_n_i - 9.00835072044485*v_R18_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r + 54.0657727682604*v_R9_b_i + 105.57176931318*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058201*v_R9_c_r - 23.284964480954*v_R9_n_i - 24.9575997948692*v_R9_n_r
struct[0].g[115,0] = i_R10_b_i + 48.8496051768258*v_R10_a_i - 8.42240745613237*v_R10_a_r - 136.523516830407*v_R10_b_i + 59.720336783428*v_R10_b_r + 48.8496051768258*v_R10_c_i - 8.42240745613238*v_R10_c_r + 33.9659505153141*v_R10_n_i - 22.4917262854545*v_R10_n_r - 9.21038227100566*v_R18_a_i - 1.84896616921897*v_R18_a_r + 30.9517475172273*v_R18_b_i - 5.65456401516768*v_R18_b_r - 9.21038227100566*v_R18_c_i - 1.84896616921897*v_R18_c_r - 9.00835072044485*v_R18_n_i - 0.793238195499528*v_R18_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r + 105.57176931318*v_R9_b_i - 54.0657727682604*v_R9_b_r - 39.6392229058201*v_R9_c_i + 10.2713736253513*v_R9_c_r - 24.9575997948692*v_R9_n_i + 23.284964480954*v_R9_n_r
struct[0].g[116,0] = i_R10_c_r + 22.4917262854545*v_R10_a_i + 33.9659505153141*v_R10_a_r + 8.42240745613236*v_R10_b_i + 48.8496051768259*v_R10_b_r - 59.7203367834281*v_R10_c_i - 136.523516830407*v_R10_c_r + 8.42240745613239*v_R10_n_i + 48.8496051768258*v_R10_n_r + 0.793238195499527*v_R18_a_i - 9.00835072044484*v_R18_a_r + 1.84896616921897*v_R18_b_i - 9.21038227100566*v_R18_b_r + 5.65456401516768*v_R18_c_i + 30.9517475172273*v_R18_c_r + 1.84896616921897*v_R18_n_i - 9.21038227100566*v_R18_n_r - 23.284964480954*v_R9_a_i - 24.9575997948692*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r + 54.0657727682604*v_R9_c_i + 105.57176931318*v_R9_c_r - 10.2713736253514*v_R9_n_i - 39.6392229058201*v_R9_n_r
struct[0].g[117,0] = i_R10_c_i + 33.9659505153141*v_R10_a_i - 22.4917262854545*v_R10_a_r + 48.8496051768259*v_R10_b_i - 8.42240745613236*v_R10_b_r - 136.523516830407*v_R10_c_i + 59.7203367834281*v_R10_c_r + 48.8496051768258*v_R10_n_i - 8.42240745613239*v_R10_n_r - 9.00835072044484*v_R18_a_i - 0.793238195499527*v_R18_a_r - 9.21038227100566*v_R18_b_i - 1.84896616921897*v_R18_b_r + 30.9517475172273*v_R18_c_i - 5.65456401516768*v_R18_c_r - 9.21038227100566*v_R18_n_i - 1.84896616921897*v_R18_n_r - 24.9575997948692*v_R9_a_i + 23.284964480954*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r + 105.57176931318*v_R9_c_i - 54.0657727682604*v_R9_c_r - 39.6392229058201*v_R9_n_i + 10.2713736253514*v_R9_n_r
struct[0].g[118,0] = i_R10_n_r + 8.42240745613237*v_R10_a_i + 48.8496051768258*v_R10_a_r + 22.4917262854545*v_R10_b_i + 33.965950515314*v_R10_b_r + 8.42240745613237*v_R10_c_i + 48.8496051768258*v_R10_c_r - 59.7203367834281*v_R10_n_i - 136.548516830407*v_R10_n_r + 1.84896616921897*v_R18_a_i - 9.21038227100566*v_R18_a_r + 0.793238195499527*v_R18_b_i - 9.00835072044485*v_R18_b_r + 1.84896616921897*v_R18_c_i - 9.21038227100566*v_R18_c_r + 5.65456401516768*v_R18_n_i + 30.9517475172273*v_R18_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r - 23.284964480954*v_R9_b_i - 24.9575997948692*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058202*v_R9_c_r + 54.0657727682604*v_R9_n_i + 105.57176931318*v_R9_n_r
struct[0].g[119,0] = i_R10_n_i + 48.8496051768258*v_R10_a_i - 8.42240745613237*v_R10_a_r + 33.965950515314*v_R10_b_i - 22.4917262854545*v_R10_b_r + 48.8496051768258*v_R10_c_i - 8.42240745613237*v_R10_c_r - 136.548516830407*v_R10_n_i + 59.7203367834281*v_R10_n_r - 9.21038227100566*v_R18_a_i - 1.84896616921897*v_R18_a_r - 9.00835072044485*v_R18_b_i - 0.793238195499527*v_R18_b_r - 9.21038227100566*v_R18_c_i - 1.84896616921897*v_R18_c_r + 30.9517475172273*v_R18_n_i - 5.65456401516768*v_R18_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r - 24.9575997948692*v_R9_b_i + 23.284964480954*v_R9_b_r - 39.6392229058202*v_R9_c_i + 10.2713736253513*v_R9_c_r + 105.57176931318*v_R9_n_i - 54.0657727682604*v_R9_n_r
struct[0].g[120,0] = i_R12_a_r - 9.69353831171601*v_R12_a_i - 53.0601386009611*v_R12_a_r - 3.16965629008966*v_R12_b_i + 15.7892267502954*v_R12_b_r - 1.35983690657062*v_R12_c_i + 15.442886949334*v_R12_c_r - 3.16965629008966*v_R12_n_i + 15.7892267502954*v_R12_n_r + 4.84676915585801*v_R13_a_i + 26.5300693004806*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 0.67991845328531*v_R13_c_i - 7.72144347466701*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r + 4.84676915585801*v_R4_a_i + 26.5300693004806*v_R4_a_r + 1.58482814504483*v_R4_b_i - 7.8946133751477*v_R4_b_r + 0.67991845328531*v_R4_c_i - 7.72144347466701*v_R4_c_r + 1.58482814504483*v_R4_n_i - 7.89461337514771*v_R4_n_r
struct[0].g[121,0] = i_R12_a_i - 53.0601386009611*v_R12_a_i + 9.69353831171601*v_R12_a_r + 15.7892267502954*v_R12_b_i + 3.16965629008966*v_R12_b_r + 15.442886949334*v_R12_c_i + 1.35983690657062*v_R12_c_r + 15.7892267502954*v_R12_n_i + 3.16965629008966*v_R12_n_r + 26.5300693004806*v_R13_a_i - 4.84676915585801*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r - 7.72144347466701*v_R13_c_i - 0.67991845328531*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r + 26.5300693004806*v_R4_a_i - 4.84676915585801*v_R4_a_r - 7.8946133751477*v_R4_b_i - 1.58482814504483*v_R4_b_r - 7.72144347466701*v_R4_c_i - 0.67991845328531*v_R4_c_r - 7.89461337514771*v_R4_n_i - 1.58482814504483*v_R4_n_r
struct[0].g[122,0] = i_R12_b_r - 3.16965629008966*v_R12_a_i + 15.7892267502954*v_R12_a_r - 9.69353831171602*v_R12_b_i - 53.0601386009611*v_R12_b_r - 3.16965629008967*v_R12_c_i + 15.7892267502954*v_R12_c_r - 1.35983690657062*v_R12_n_i + 15.442886949334*v_R12_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 4.84676915585801*v_R13_b_i + 26.5300693004806*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 0.679918453285308*v_R13_n_i - 7.72144347466701*v_R13_n_r + 1.58482814504483*v_R4_a_i - 7.89461337514771*v_R4_a_r + 4.84676915585801*v_R4_b_i + 26.5300693004806*v_R4_b_r + 1.58482814504483*v_R4_c_i - 7.89461337514771*v_R4_c_r + 0.679918453285308*v_R4_n_i - 7.72144347466701*v_R4_n_r
struct[0].g[123,0] = i_R12_b_i + 15.7892267502954*v_R12_a_i + 3.16965629008966*v_R12_a_r - 53.0601386009611*v_R12_b_i + 9.69353831171602*v_R12_b_r + 15.7892267502954*v_R12_c_i + 3.16965629008967*v_R12_c_r + 15.442886949334*v_R12_n_i + 1.35983690657062*v_R12_n_r - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r + 26.5300693004806*v_R13_b_i - 4.84676915585801*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r - 7.72144347466701*v_R13_n_i - 0.679918453285308*v_R13_n_r - 7.89461337514771*v_R4_a_i - 1.58482814504483*v_R4_a_r + 26.5300693004806*v_R4_b_i - 4.84676915585801*v_R4_b_r - 7.89461337514771*v_R4_c_i - 1.58482814504483*v_R4_c_r - 7.72144347466701*v_R4_n_i - 0.679918453285308*v_R4_n_r
struct[0].g[124,0] = i_R12_c_r - 1.35983690657062*v_R12_a_i + 15.442886949334*v_R12_a_r - 3.16965629008966*v_R12_b_i + 15.7892267502954*v_R12_b_r - 9.69353831171602*v_R12_c_i - 53.0601386009611*v_R12_c_r - 3.16965629008967*v_R12_n_i + 15.7892267502954*v_R12_n_r + 0.67991845328531*v_R13_a_i - 7.72144347466701*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 4.84676915585801*v_R13_c_i + 26.5300693004806*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r + 0.67991845328531*v_R4_a_i - 7.72144347466701*v_R4_a_r + 1.58482814504483*v_R4_b_i - 7.8946133751477*v_R4_b_r + 4.84676915585801*v_R4_c_i + 26.5300693004806*v_R4_c_r + 1.58482814504483*v_R4_n_i - 7.89461337514771*v_R4_n_r
struct[0].g[125,0] = i_R12_c_i + 15.442886949334*v_R12_a_i + 1.35983690657062*v_R12_a_r + 15.7892267502954*v_R12_b_i + 3.16965629008966*v_R12_b_r - 53.0601386009611*v_R12_c_i + 9.69353831171602*v_R12_c_r + 15.7892267502954*v_R12_n_i + 3.16965629008967*v_R12_n_r - 7.72144347466701*v_R13_a_i - 0.67991845328531*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r + 26.5300693004806*v_R13_c_i - 4.84676915585801*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r - 7.72144347466701*v_R4_a_i - 0.67991845328531*v_R4_a_r - 7.8946133751477*v_R4_b_i - 1.58482814504483*v_R4_b_r + 26.5300693004806*v_R4_c_i - 4.84676915585801*v_R4_c_r - 7.89461337514771*v_R4_n_i - 1.58482814504483*v_R4_n_r
struct[0].g[126,0] = i_R12_n_r - 3.16965629008966*v_R12_a_i + 15.7892267502954*v_R12_a_r - 1.35983690657062*v_R12_b_i + 15.442886949334*v_R12_b_r - 3.16965629008966*v_R12_c_i + 15.7892267502954*v_R12_c_r - 9.69353831171602*v_R12_n_i - 53.0601386009611*v_R12_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 0.679918453285308*v_R13_b_i - 7.72144347466701*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 4.84676915585801*v_R13_n_i + 26.5300693004806*v_R13_n_r + 1.58482814504483*v_R4_a_i - 7.89461337514771*v_R4_a_r + 0.679918453285308*v_R4_b_i - 7.72144347466701*v_R4_b_r + 1.58482814504483*v_R4_c_i - 7.89461337514771*v_R4_c_r + 4.84676915585801*v_R4_n_i + 26.5300693004806*v_R4_n_r
struct[0].g[127,0] = i_R12_n_i + 15.7892267502954*v_R12_a_i + 3.16965629008966*v_R12_a_r + 15.442886949334*v_R12_b_i + 1.35983690657062*v_R12_b_r + 15.7892267502954*v_R12_c_i + 3.16965629008966*v_R12_c_r - 53.0601386009611*v_R12_n_i + 9.69353831171602*v_R12_n_r - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r - 7.72144347466701*v_R13_b_i - 0.679918453285308*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r + 26.5300693004806*v_R13_n_i - 4.84676915585801*v_R13_n_r - 7.89461337514771*v_R4_a_i - 1.58482814504483*v_R4_a_r - 7.72144347466701*v_R4_b_i - 0.679918453285308*v_R4_b_r - 7.89461337514771*v_R4_c_i - 1.58482814504483*v_R4_c_r + 26.5300693004806*v_R4_n_i - 4.84676915585801*v_R4_n_r
struct[0].g[128,0] = i_R13_a_r + 4.84676915585801*v_R12_a_i + 26.5300693004806*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 0.67991845328531*v_R12_c_i - 7.72144347466701*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 9.69353831171601*v_R13_a_i - 53.0601386009611*v_R13_a_r - 3.16965629008966*v_R13_b_i + 15.7892267502954*v_R13_b_r - 1.35983690657062*v_R13_c_i + 15.442886949334*v_R13_c_r - 3.16965629008966*v_R13_n_i + 15.7892267502954*v_R13_n_r + 4.84676915585801*v_R14_a_i + 26.5300693004806*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 0.67991845328531*v_R14_c_i - 7.72144347466701*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r
struct[0].g[129,0] = i_R13_a_i + 26.5300693004806*v_R12_a_i - 4.84676915585801*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r - 7.72144347466701*v_R12_c_i - 0.67991845328531*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r - 53.0601386009611*v_R13_a_i + 9.69353831171601*v_R13_a_r + 15.7892267502954*v_R13_b_i + 3.16965629008966*v_R13_b_r + 15.442886949334*v_R13_c_i + 1.35983690657062*v_R13_c_r + 15.7892267502954*v_R13_n_i + 3.16965629008966*v_R13_n_r + 26.5300693004806*v_R14_a_i - 4.84676915585801*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r - 7.72144347466701*v_R14_c_i - 0.67991845328531*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r
struct[0].g[130,0] = i_R13_b_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 4.84676915585801*v_R12_b_i + 26.5300693004806*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 0.679918453285308*v_R12_n_i - 7.72144347466701*v_R12_n_r - 3.16965629008966*v_R13_a_i + 15.7892267502954*v_R13_a_r - 9.69353831171602*v_R13_b_i - 53.0601386009611*v_R13_b_r - 3.16965629008967*v_R13_c_i + 15.7892267502954*v_R13_c_r - 1.35983690657062*v_R13_n_i + 15.442886949334*v_R13_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 4.84676915585801*v_R14_b_i + 26.5300693004806*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 0.679918453285308*v_R14_n_i - 7.72144347466701*v_R14_n_r
struct[0].g[131,0] = i_R13_b_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r + 26.5300693004806*v_R12_b_i - 4.84676915585801*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r - 7.72144347466701*v_R12_n_i - 0.679918453285308*v_R12_n_r + 15.7892267502954*v_R13_a_i + 3.16965629008966*v_R13_a_r - 53.0601386009611*v_R13_b_i + 9.69353831171602*v_R13_b_r + 15.7892267502954*v_R13_c_i + 3.16965629008967*v_R13_c_r + 15.442886949334*v_R13_n_i + 1.35983690657062*v_R13_n_r - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r + 26.5300693004806*v_R14_b_i - 4.84676915585801*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r - 7.72144347466701*v_R14_n_i - 0.679918453285308*v_R14_n_r
struct[0].g[132,0] = i_R13_c_r + 0.67991845328531*v_R12_a_i - 7.72144347466701*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 4.84676915585801*v_R12_c_i + 26.5300693004806*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 1.35983690657062*v_R13_a_i + 15.442886949334*v_R13_a_r - 3.16965629008966*v_R13_b_i + 15.7892267502954*v_R13_b_r - 9.69353831171602*v_R13_c_i - 53.0601386009611*v_R13_c_r - 3.16965629008967*v_R13_n_i + 15.7892267502954*v_R13_n_r + 0.67991845328531*v_R14_a_i - 7.72144347466701*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 4.84676915585801*v_R14_c_i + 26.5300693004806*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r
struct[0].g[133,0] = i_R13_c_i - 7.72144347466701*v_R12_a_i - 0.67991845328531*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r + 26.5300693004806*v_R12_c_i - 4.84676915585801*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r + 15.442886949334*v_R13_a_i + 1.35983690657062*v_R13_a_r + 15.7892267502954*v_R13_b_i + 3.16965629008966*v_R13_b_r - 53.0601386009611*v_R13_c_i + 9.69353831171602*v_R13_c_r + 15.7892267502954*v_R13_n_i + 3.16965629008967*v_R13_n_r - 7.72144347466701*v_R14_a_i - 0.67991845328531*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r + 26.5300693004806*v_R14_c_i - 4.84676915585801*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r
struct[0].g[134,0] = i_R13_n_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 0.679918453285308*v_R12_b_i - 7.72144347466701*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 4.84676915585801*v_R12_n_i + 26.5300693004806*v_R12_n_r - 3.16965629008966*v_R13_a_i + 15.7892267502954*v_R13_a_r - 1.35983690657062*v_R13_b_i + 15.442886949334*v_R13_b_r - 3.16965629008966*v_R13_c_i + 15.7892267502954*v_R13_c_r - 9.69353831171602*v_R13_n_i - 53.0851386009611*v_R13_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 0.679918453285308*v_R14_b_i - 7.72144347466701*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 4.84676915585801*v_R14_n_i + 26.5300693004806*v_R14_n_r
struct[0].g[135,0] = i_R13_n_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r - 7.72144347466701*v_R12_b_i - 0.679918453285308*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r + 26.5300693004806*v_R12_n_i - 4.84676915585801*v_R12_n_r + 15.7892267502954*v_R13_a_i + 3.16965629008966*v_R13_a_r + 15.442886949334*v_R13_b_i + 1.35983690657062*v_R13_b_r + 15.7892267502954*v_R13_c_i + 3.16965629008966*v_R13_c_r - 53.0851386009611*v_R13_n_i + 9.69353831171602*v_R13_n_r - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r - 7.72144347466701*v_R14_b_i - 0.679918453285308*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r + 26.5300693004806*v_R14_n_i - 4.84676915585801*v_R14_n_r
struct[0].g[136,0] = i_R14_a_r + 4.84676915585801*v_R13_a_i + 26.5300693004806*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 0.67991845328531*v_R13_c_i - 7.72144347466701*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r - 9.69353831171601*v_R14_a_i - 53.0601386009611*v_R14_a_r - 3.16965629008966*v_R14_b_i + 15.7892267502954*v_R14_b_r - 1.35983690657062*v_R14_c_i + 15.442886949334*v_R14_c_r - 3.16965629008966*v_R14_n_i + 15.7892267502954*v_R14_n_r + 4.84676915585801*v_R15_a_i + 26.5300693004806*v_R15_a_r + 1.58482814504483*v_R15_b_i - 7.8946133751477*v_R15_b_r + 0.67991845328531*v_R15_c_i - 7.72144347466701*v_R15_c_r + 1.58482814504483*v_R15_n_i - 7.89461337514771*v_R15_n_r
struct[0].g[137,0] = i_R14_a_i + 26.5300693004806*v_R13_a_i - 4.84676915585801*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r - 7.72144347466701*v_R13_c_i - 0.67991845328531*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r - 53.0601386009611*v_R14_a_i + 9.69353831171601*v_R14_a_r + 15.7892267502954*v_R14_b_i + 3.16965629008966*v_R14_b_r + 15.442886949334*v_R14_c_i + 1.35983690657062*v_R14_c_r + 15.7892267502954*v_R14_n_i + 3.16965629008966*v_R14_n_r + 26.5300693004806*v_R15_a_i - 4.84676915585801*v_R15_a_r - 7.8946133751477*v_R15_b_i - 1.58482814504483*v_R15_b_r - 7.72144347466701*v_R15_c_i - 0.67991845328531*v_R15_c_r - 7.89461337514771*v_R15_n_i - 1.58482814504483*v_R15_n_r
struct[0].g[138,0] = i_R14_b_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 4.84676915585801*v_R13_b_i + 26.5300693004806*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 0.679918453285308*v_R13_n_i - 7.72144347466701*v_R13_n_r - 3.16965629008966*v_R14_a_i + 15.7892267502954*v_R14_a_r - 9.69353831171602*v_R14_b_i - 53.0601386009611*v_R14_b_r - 3.16965629008967*v_R14_c_i + 15.7892267502954*v_R14_c_r - 1.35983690657062*v_R14_n_i + 15.442886949334*v_R14_n_r + 1.58482814504483*v_R15_a_i - 7.89461337514771*v_R15_a_r + 4.84676915585801*v_R15_b_i + 26.5300693004806*v_R15_b_r + 1.58482814504483*v_R15_c_i - 7.89461337514771*v_R15_c_r + 0.679918453285308*v_R15_n_i - 7.72144347466701*v_R15_n_r
struct[0].g[139,0] = i_R14_b_i - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r + 26.5300693004806*v_R13_b_i - 4.84676915585801*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r - 7.72144347466701*v_R13_n_i - 0.679918453285308*v_R13_n_r + 15.7892267502954*v_R14_a_i + 3.16965629008966*v_R14_a_r - 53.0601386009611*v_R14_b_i + 9.69353831171602*v_R14_b_r + 15.7892267502954*v_R14_c_i + 3.16965629008967*v_R14_c_r + 15.442886949334*v_R14_n_i + 1.35983690657062*v_R14_n_r - 7.89461337514771*v_R15_a_i - 1.58482814504483*v_R15_a_r + 26.5300693004806*v_R15_b_i - 4.84676915585801*v_R15_b_r - 7.89461337514771*v_R15_c_i - 1.58482814504483*v_R15_c_r - 7.72144347466701*v_R15_n_i - 0.679918453285308*v_R15_n_r
struct[0].g[140,0] = i_R14_c_r + 0.67991845328531*v_R13_a_i - 7.72144347466701*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 4.84676915585801*v_R13_c_i + 26.5300693004806*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r - 1.35983690657062*v_R14_a_i + 15.442886949334*v_R14_a_r - 3.16965629008966*v_R14_b_i + 15.7892267502954*v_R14_b_r - 9.69353831171602*v_R14_c_i - 53.0601386009611*v_R14_c_r - 3.16965629008967*v_R14_n_i + 15.7892267502954*v_R14_n_r + 0.67991845328531*v_R15_a_i - 7.72144347466701*v_R15_a_r + 1.58482814504483*v_R15_b_i - 7.8946133751477*v_R15_b_r + 4.84676915585801*v_R15_c_i + 26.5300693004806*v_R15_c_r + 1.58482814504483*v_R15_n_i - 7.89461337514771*v_R15_n_r
struct[0].g[141,0] = i_R14_c_i - 7.72144347466701*v_R13_a_i - 0.67991845328531*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r + 26.5300693004806*v_R13_c_i - 4.84676915585801*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r + 15.442886949334*v_R14_a_i + 1.35983690657062*v_R14_a_r + 15.7892267502954*v_R14_b_i + 3.16965629008966*v_R14_b_r - 53.0601386009611*v_R14_c_i + 9.69353831171602*v_R14_c_r + 15.7892267502954*v_R14_n_i + 3.16965629008967*v_R14_n_r - 7.72144347466701*v_R15_a_i - 0.67991845328531*v_R15_a_r - 7.8946133751477*v_R15_b_i - 1.58482814504483*v_R15_b_r + 26.5300693004806*v_R15_c_i - 4.84676915585801*v_R15_c_r - 7.89461337514771*v_R15_n_i - 1.58482814504483*v_R15_n_r
struct[0].g[142,0] = i_R14_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 0.679918453285308*v_R13_b_i - 7.72144347466701*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 4.84676915585801*v_R13_n_i + 26.5300693004806*v_R13_n_r - 3.16965629008966*v_R14_a_i + 15.7892267502954*v_R14_a_r - 1.35983690657062*v_R14_b_i + 15.442886949334*v_R14_b_r - 3.16965629008966*v_R14_c_i + 15.7892267502954*v_R14_c_r - 9.69353831171602*v_R14_n_i - 53.0601386009611*v_R14_n_r + 1.58482814504483*v_R15_a_i - 7.89461337514771*v_R15_a_r + 0.679918453285308*v_R15_b_i - 7.72144347466701*v_R15_b_r + 1.58482814504483*v_R15_c_i - 7.89461337514771*v_R15_c_r + 4.84676915585801*v_R15_n_i + 26.5300693004806*v_R15_n_r
struct[0].g[143,0] = i_R14_n_i - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r - 7.72144347466701*v_R13_b_i - 0.679918453285308*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r + 26.5300693004806*v_R13_n_i - 4.84676915585801*v_R13_n_r + 15.7892267502954*v_R14_a_i + 3.16965629008966*v_R14_a_r + 15.442886949334*v_R14_b_i + 1.35983690657062*v_R14_b_r + 15.7892267502954*v_R14_c_i + 3.16965629008966*v_R14_c_r - 53.0601386009611*v_R14_n_i + 9.69353831171602*v_R14_n_r - 7.89461337514771*v_R15_a_i - 1.58482814504483*v_R15_a_r - 7.72144347466701*v_R15_b_i - 0.679918453285308*v_R15_b_r - 7.89461337514771*v_R15_c_i - 1.58482814504483*v_R15_c_r + 26.5300693004806*v_R15_n_i - 4.84676915585801*v_R15_n_r
struct[0].g[144,0] = i_R1_a_i*v_R1_a_i - i_R1_a_i*v_R1_n_i + i_R1_a_r*v_R1_a_r - i_R1_a_r*v_R1_n_r - p_R1_a
struct[0].g[145,0] = i_R1_b_i*v_R1_b_i - i_R1_b_i*v_R1_n_i + i_R1_b_r*v_R1_b_r - i_R1_b_r*v_R1_n_r - p_R1_b
struct[0].g[146,0] = i_R1_c_i*v_R1_c_i - i_R1_c_i*v_R1_n_i + i_R1_c_r*v_R1_c_r - i_R1_c_r*v_R1_n_r - p_R1_c
struct[0].g[147,0] = -i_R1_a_i*v_R1_a_r + i_R1_a_i*v_R1_n_r + i_R1_a_r*v_R1_a_i - i_R1_a_r*v_R1_n_i - q_R1_a
struct[0].g[148,0] = -i_R1_b_i*v_R1_b_r + i_R1_b_i*v_R1_n_r + i_R1_b_r*v_R1_b_i - i_R1_b_r*v_R1_n_i - q_R1_b
struct[0].g[149,0] = -i_R1_c_i*v_R1_c_r + i_R1_c_i*v_R1_n_r + i_R1_c_r*v_R1_c_i - i_R1_c_r*v_R1_n_i - q_R1_c
struct[0].g[150,0] = g_n[150,0]
struct[0].g[151,0] = g_n[151,0]
struct[0].g[152,0] = i_R11_a_i*v_R11_a_i - i_R11_a_i*v_R11_n_i + i_R11_a_r*v_R11_a_r - i_R11_a_r*v_R11_n_r - p_R11_a
struct[0].g[153,0] = i_R11_b_i*v_R11_b_i - i_R11_b_i*v_R11_n_i + i_R11_b_r*v_R11_b_r - i_R11_b_r*v_R11_n_r - p_R11_b
struct[0].g[154,0] = i_R11_c_i*v_R11_c_i - i_R11_c_i*v_R11_n_i + i_R11_c_r*v_R11_c_r - i_R11_c_r*v_R11_n_r - p_R11_c
struct[0].g[155,0] = -i_R11_a_i*v_R11_a_r + i_R11_a_i*v_R11_n_r + i_R11_a_r*v_R11_a_i - i_R11_a_r*v_R11_n_i - q_R11_a
struct[0].g[156,0] = -i_R11_b_i*v_R11_b_r + i_R11_b_i*v_R11_n_r + i_R11_b_r*v_R11_b_i - i_R11_b_r*v_R11_n_i - q_R11_b
struct[0].g[157,0] = -i_R11_c_i*v_R11_c_r + i_R11_c_i*v_R11_n_r + i_R11_c_r*v_R11_c_i - i_R11_c_r*v_R11_n_i - q_R11_c
struct[0].g[158,0] = g_n[158,0]
struct[0].g[159,0] = g_n[159,0]
struct[0].g[160,0] = i_R15_a_i*v_R15_a_i - i_R15_a_i*v_R15_n_i + i_R15_a_r*v_R15_a_r - i_R15_a_r*v_R15_n_r - p_R15_a
struct[0].g[161,0] = i_R15_b_i*v_R15_b_i - i_R15_b_i*v_R15_n_i + i_R15_b_r*v_R15_b_r - i_R15_b_r*v_R15_n_r - p_R15_b
struct[0].g[162,0] = i_R15_c_i*v_R15_c_i - i_R15_c_i*v_R15_n_i + i_R15_c_r*v_R15_c_r - i_R15_c_r*v_R15_n_r - p_R15_c
struct[0].g[163,0] = -i_R15_a_i*v_R15_a_r + i_R15_a_i*v_R15_n_r + i_R15_a_r*v_R15_a_i - i_R15_a_r*v_R15_n_i - q_R15_a
struct[0].g[164,0] = -i_R15_b_i*v_R15_b_r + i_R15_b_i*v_R15_n_r + i_R15_b_r*v_R15_b_i - i_R15_b_r*v_R15_n_i - q_R15_b
struct[0].g[165,0] = -i_R15_c_i*v_R15_c_r + i_R15_c_i*v_R15_n_r + i_R15_c_r*v_R15_c_i - i_R15_c_r*v_R15_n_i - q_R15_c
struct[0].g[166,0] = g_n[166,0]
struct[0].g[167,0] = g_n[167,0]
struct[0].g[168,0] = i_R16_a_i*v_R16_a_i - i_R16_a_i*v_R16_n_i + i_R16_a_r*v_R16_a_r - i_R16_a_r*v_R16_n_r - p_R16_a
struct[0].g[169,0] = i_R16_b_i*v_R16_b_i - i_R16_b_i*v_R16_n_i + i_R16_b_r*v_R16_b_r - i_R16_b_r*v_R16_n_r - p_R16_b
struct[0].g[170,0] = i_R16_c_i*v_R16_c_i - i_R16_c_i*v_R16_n_i + i_R16_c_r*v_R16_c_r - i_R16_c_r*v_R16_n_r - p_R16_c
struct[0].g[171,0] = -i_R16_a_i*v_R16_a_r + i_R16_a_i*v_R16_n_r + i_R16_a_r*v_R16_a_i - i_R16_a_r*v_R16_n_i - q_R16_a
struct[0].g[172,0] = -i_R16_b_i*v_R16_b_r + i_R16_b_i*v_R16_n_r + i_R16_b_r*v_R16_b_i - i_R16_b_r*v_R16_n_i - q_R16_b
struct[0].g[173,0] = -i_R16_c_i*v_R16_c_r + i_R16_c_i*v_R16_n_r + i_R16_c_r*v_R16_c_i - i_R16_c_r*v_R16_n_i - q_R16_c
struct[0].g[174,0] = g_n[174,0]
struct[0].g[175,0] = g_n[175,0]
struct[0].g[176,0] = i_R17_a_i*v_R17_a_i - i_R17_a_i*v_R17_n_i + i_R17_a_r*v_R17_a_r - i_R17_a_r*v_R17_n_r - p_R17_a
struct[0].g[177,0] = i_R17_b_i*v_R17_b_i - i_R17_b_i*v_R17_n_i + i_R17_b_r*v_R17_b_r - i_R17_b_r*v_R17_n_r - p_R17_b
struct[0].g[178,0] = i_R17_c_i*v_R17_c_i - i_R17_c_i*v_R17_n_i + i_R17_c_r*v_R17_c_r - i_R17_c_r*v_R17_n_r - p_R17_c
struct[0].g[179,0] = -i_R17_a_i*v_R17_a_r + i_R17_a_i*v_R17_n_r + i_R17_a_r*v_R17_a_i - i_R17_a_r*v_R17_n_i - q_R17_a
struct[0].g[180,0] = -i_R17_b_i*v_R17_b_r + i_R17_b_i*v_R17_n_r + i_R17_b_r*v_R17_b_i - i_R17_b_r*v_R17_n_i - q_R17_b
struct[0].g[181,0] = -i_R17_c_i*v_R17_c_r + i_R17_c_i*v_R17_n_r + i_R17_c_r*v_R17_c_i - i_R17_c_r*v_R17_n_i - q_R17_c
struct[0].g[182,0] = g_n[182,0]
struct[0].g[183,0] = g_n[183,0]
struct[0].g[184,0] = i_R18_a_i*v_R18_a_i - i_R18_a_i*v_R18_n_i + i_R18_a_r*v_R18_a_r - i_R18_a_r*v_R18_n_r - p_R18_a
struct[0].g[185,0] = i_R18_b_i*v_R18_b_i - i_R18_b_i*v_R18_n_i + i_R18_b_r*v_R18_b_r - i_R18_b_r*v_R18_n_r - p_R18_b
struct[0].g[186,0] = i_R18_c_i*v_R18_c_i - i_R18_c_i*v_R18_n_i + i_R18_c_r*v_R18_c_r - i_R18_c_r*v_R18_n_r - p_R18_c
struct[0].g[187,0] = -i_R18_a_i*v_R18_a_r + i_R18_a_i*v_R18_n_r + i_R18_a_r*v_R18_a_i - i_R18_a_r*v_R18_n_i - q_R18_a
struct[0].g[188,0] = -i_R18_b_i*v_R18_b_r + i_R18_b_i*v_R18_n_r + i_R18_b_r*v_R18_b_i - i_R18_b_r*v_R18_n_i - q_R18_b
struct[0].g[189,0] = -i_R18_c_i*v_R18_c_r + i_R18_c_i*v_R18_n_r + i_R18_c_r*v_R18_c_i - i_R18_c_r*v_R18_n_i - q_R18_c
struct[0].g[190,0] = g_n[190,0]
struct[0].g[191,0] = g_n[191,0]
# Outputs:
if mode == 3:
struct[0].h[0,0] = (v_R0_a_i**2 + v_R0_a_r**2)**0.5
struct[0].h[1,0] = (v_R0_b_i**2 + v_R0_b_r**2)**0.5
struct[0].h[2,0] = (v_R0_c_i**2 + v_R0_c_r**2)**0.5
struct[0].h[3,0] = (v_R1_a_i**2 + v_R1_a_r**2)**0.5
struct[0].h[4,0] = (v_R1_b_i**2 + v_R1_b_r**2)**0.5
struct[0].h[5,0] = (v_R1_c_i**2 + v_R1_c_r**2)**0.5
struct[0].h[6,0] = (v_R1_n_i**2 + v_R1_n_r**2)**0.5
struct[0].h[7,0] = (v_R11_a_i**2 + v_R11_a_r**2)**0.5
struct[0].h[8,0] = (v_R11_b_i**2 + v_R11_b_r**2)**0.5
struct[0].h[9,0] = (v_R11_c_i**2 + v_R11_c_r**2)**0.5
struct[0].h[10,0] = (v_R11_n_i**2 + v_R11_n_r**2)**0.5
struct[0].h[11,0] = (v_R15_a_i**2 + v_R15_a_r**2)**0.5
struct[0].h[12,0] = (v_R15_b_i**2 + v_R15_b_r**2)**0.5
struct[0].h[13,0] = (v_R15_c_i**2 + v_R15_c_r**2)**0.5
struct[0].h[14,0] = (v_R15_n_i**2 + v_R15_n_r**2)**0.5
struct[0].h[15,0] = (v_R16_a_i**2 + v_R16_a_r**2)**0.5
struct[0].h[16,0] = (v_R16_b_i**2 + v_R16_b_r**2)**0.5
struct[0].h[17,0] = (v_R16_c_i**2 + v_R16_c_r**2)**0.5
struct[0].h[18,0] = (v_R16_n_i**2 + v_R16_n_r**2)**0.5
struct[0].h[19,0] = (v_R17_a_i**2 + v_R17_a_r**2)**0.5
struct[0].h[20,0] = (v_R17_b_i**2 + v_R17_b_r**2)**0.5
struct[0].h[21,0] = (v_R17_c_i**2 + v_R17_c_r**2)**0.5
struct[0].h[22,0] = (v_R17_n_i**2 + v_R17_n_r**2)**0.5
struct[0].h[23,0] = (v_R18_a_i**2 + v_R18_a_r**2)**0.5
struct[0].h[24,0] = (v_R18_b_i**2 + v_R18_b_r**2)**0.5
struct[0].h[25,0] = (v_R18_c_i**2 + v_R18_c_r**2)**0.5
struct[0].h[26,0] = (v_R18_n_i**2 + v_R18_n_r**2)**0.5
struct[0].h[27,0] = (v_R2_a_i**2 + v_R2_a_r**2)**0.5
struct[0].h[28,0] = (v_R2_b_i**2 + v_R2_b_r**2)**0.5
struct[0].h[29,0] = (v_R2_c_i**2 + v_R2_c_r**2)**0.5
struct[0].h[30,0] = (v_R2_n_i**2 + v_R2_n_r**2)**0.5
struct[0].h[31,0] = (v_R3_a_i**2 + v_R3_a_r**2)**0.5
struct[0].h[32,0] = (v_R3_b_i**2 + v_R3_b_r**2)**0.5
struct[0].h[33,0] = (v_R3_c_i**2 + v_R3_c_r**2)**0.5
struct[0].h[34,0] = (v_R3_n_i**2 + v_R3_n_r**2)**0.5
struct[0].h[35,0] = (v_R4_a_i**2 + v_R4_a_r**2)**0.5
struct[0].h[36,0] = (v_R4_b_i**2 + v_R4_b_r**2)**0.5
struct[0].h[37,0] = (v_R4_c_i**2 + v_R4_c_r**2)**0.5
struct[0].h[38,0] = (v_R4_n_i**2 + v_R4_n_r**2)**0.5
struct[0].h[39,0] = (v_R5_a_i**2 + v_R5_a_r**2)**0.5
struct[0].h[40,0] = (v_R5_b_i**2 + v_R5_b_r**2)**0.5
struct[0].h[41,0] = (v_R5_c_i**2 + v_R5_c_r**2)**0.5
struct[0].h[42,0] = (v_R5_n_i**2 + v_R5_n_r**2)**0.5
struct[0].h[43,0] = (v_R6_a_i**2 + v_R6_a_r**2)**0.5
struct[0].h[44,0] = (v_R6_b_i**2 + v_R6_b_r**2)**0.5
struct[0].h[45,0] = (v_R6_c_i**2 + v_R6_c_r**2)**0.5
struct[0].h[46,0] = (v_R6_n_i**2 + v_R6_n_r**2)**0.5
struct[0].h[47,0] = (v_R7_a_i**2 + v_R7_a_r**2)**0.5
struct[0].h[48,0] = (v_R7_b_i**2 + v_R7_b_r**2)**0.5
struct[0].h[49,0] = (v_R7_c_i**2 + v_R7_c_r**2)**0.5
struct[0].h[50,0] = (v_R7_n_i**2 + v_R7_n_r**2)**0.5
struct[0].h[51,0] = (v_R8_a_i**2 + v_R8_a_r**2)**0.5
struct[0].h[52,0] = (v_R8_b_i**2 + v_R8_b_r**2)**0.5
struct[0].h[53,0] = (v_R8_c_i**2 + v_R8_c_r**2)**0.5
struct[0].h[54,0] = (v_R8_n_i**2 + v_R8_n_r**2)**0.5
struct[0].h[55,0] = (v_R9_a_i**2 + v_R9_a_r**2)**0.5
struct[0].h[56,0] = (v_R9_b_i**2 + v_R9_b_r**2)**0.5
struct[0].h[57,0] = (v_R9_c_i**2 + v_R9_c_r**2)**0.5
struct[0].h[58,0] = (v_R9_n_i**2 + v_R9_n_r**2)**0.5
struct[0].h[59,0] = (v_R10_a_i**2 + v_R10_a_r**2)**0.5
struct[0].h[60,0] = (v_R10_b_i**2 + v_R10_b_r**2)**0.5
struct[0].h[61,0] = (v_R10_c_i**2 + v_R10_c_r**2)**0.5
struct[0].h[62,0] = (v_R10_n_i**2 + v_R10_n_r**2)**0.5
struct[0].h[63,0] = (v_R12_a_i**2 + v_R12_a_r**2)**0.5
struct[0].h[64,0] = (v_R12_b_i**2 + v_R12_b_r**2)**0.5
struct[0].h[65,0] = (v_R12_c_i**2 + v_R12_c_r**2)**0.5
struct[0].h[66,0] = (v_R12_n_i**2 + v_R12_n_r**2)**0.5
struct[0].h[67,0] = (v_R13_a_i**2 + v_R13_a_r**2)**0.5
struct[0].h[68,0] = (v_R13_b_i**2 + v_R13_b_r**2)**0.5
struct[0].h[69,0] = (v_R13_c_i**2 + v_R13_c_r**2)**0.5
struct[0].h[70,0] = (v_R13_n_i**2 + v_R13_n_r**2)**0.5
struct[0].h[71,0] = (v_R14_a_i**2 + v_R14_a_r**2)**0.5
struct[0].h[72,0] = (v_R14_b_i**2 + v_R14_b_r**2)**0.5
struct[0].h[73,0] = (v_R14_c_i**2 + v_R14_c_r**2)**0.5
struct[0].h[74,0] = (v_R14_n_i**2 + v_R14_n_r**2)**0.5
if mode == 10:
pass
if mode == 11:
struct[0].Gy_ini[144,0] = i_R1_a_r
struct[0].Gy_ini[144,1] = i_R1_a_i
struct[0].Gy_ini[144,6] = -i_R1_a_r
struct[0].Gy_ini[144,7] = -i_R1_a_i
struct[0].Gy_ini[144,144] = v_R1_a_r - v_R1_n_r
struct[0].Gy_ini[144,145] = v_R1_a_i - v_R1_n_i
struct[0].Gy_ini[145,2] = i_R1_b_r
struct[0].Gy_ini[145,3] = i_R1_b_i
struct[0].Gy_ini[145,6] = -i_R1_b_r
struct[0].Gy_ini[145,7] = -i_R1_b_i
struct[0].Gy_ini[145,146] = v_R1_b_r - v_R1_n_r
struct[0].Gy_ini[145,147] = v_R1_b_i - v_R1_n_i
struct[0].Gy_ini[146,4] = i_R1_c_r
struct[0].Gy_ini[146,5] = i_R1_c_i
struct[0].Gy_ini[146,6] = -i_R1_c_r
struct[0].Gy_ini[146,7] = -i_R1_c_i
struct[0].Gy_ini[146,148] = v_R1_c_r - v_R1_n_r
struct[0].Gy_ini[146,149] = v_R1_c_i - v_R1_n_i
struct[0].Gy_ini[147,0] = -i_R1_a_i
struct[0].Gy_ini[147,1] = i_R1_a_r
struct[0].Gy_ini[147,6] = i_R1_a_i
struct[0].Gy_ini[147,7] = -i_R1_a_r
struct[0].Gy_ini[147,144] = v_R1_a_i - v_R1_n_i
struct[0].Gy_ini[147,145] = -v_R1_a_r + v_R1_n_r
struct[0].Gy_ini[148,2] = -i_R1_b_i
struct[0].Gy_ini[148,3] = i_R1_b_r
struct[0].Gy_ini[148,6] = i_R1_b_i
struct[0].Gy_ini[148,7] = -i_R1_b_r
struct[0].Gy_ini[148,146] = v_R1_b_i - v_R1_n_i
struct[0].Gy_ini[148,147] = -v_R1_b_r + v_R1_n_r
struct[0].Gy_ini[149,4] = -i_R1_c_i
struct[0].Gy_ini[149,5] = i_R1_c_r
struct[0].Gy_ini[149,6] = i_R1_c_i
struct[0].Gy_ini[149,7] = -i_R1_c_r
struct[0].Gy_ini[149,148] = v_R1_c_i - v_R1_n_i
struct[0].Gy_ini[149,149] = -v_R1_c_r + v_R1_n_r
struct[0].Gy_ini[152,8] = i_R11_a_r
struct[0].Gy_ini[152,9] = i_R11_a_i
struct[0].Gy_ini[152,14] = -i_R11_a_r
struct[0].Gy_ini[152,15] = -i_R11_a_i
struct[0].Gy_ini[152,152] = v_R11_a_r - v_R11_n_r
struct[0].Gy_ini[152,153] = v_R11_a_i - v_R11_n_i
struct[0].Gy_ini[153,10] = i_R11_b_r
struct[0].Gy_ini[153,11] = i_R11_b_i
struct[0].Gy_ini[153,14] = -i_R11_b_r
struct[0].Gy_ini[153,15] = -i_R11_b_i
struct[0].Gy_ini[153,154] = v_R11_b_r - v_R11_n_r
struct[0].Gy_ini[153,155] = v_R11_b_i - v_R11_n_i
struct[0].Gy_ini[154,12] = i_R11_c_r
struct[0].Gy_ini[154,13] = i_R11_c_i
struct[0].Gy_ini[154,14] = -i_R11_c_r
struct[0].Gy_ini[154,15] = -i_R11_c_i
struct[0].Gy_ini[154,156] = v_R11_c_r - v_R11_n_r
struct[0].Gy_ini[154,157] = v_R11_c_i - v_R11_n_i
struct[0].Gy_ini[155,8] = -i_R11_a_i
struct[0].Gy_ini[155,9] = i_R11_a_r
struct[0].Gy_ini[155,14] = i_R11_a_i
struct[0].Gy_ini[155,15] = -i_R11_a_r
struct[0].Gy_ini[155,152] = v_R11_a_i - v_R11_n_i
struct[0].Gy_ini[155,153] = -v_R11_a_r + v_R11_n_r
struct[0].Gy_ini[156,10] = -i_R11_b_i
struct[0].Gy_ini[156,11] = i_R11_b_r
struct[0].Gy_ini[156,14] = i_R11_b_i
struct[0].Gy_ini[156,15] = -i_R11_b_r
struct[0].Gy_ini[156,154] = v_R11_b_i - v_R11_n_i
struct[0].Gy_ini[156,155] = -v_R11_b_r + v_R11_n_r
struct[0].Gy_ini[157,12] = -i_R11_c_i
struct[0].Gy_ini[157,13] = i_R11_c_r
struct[0].Gy_ini[157,14] = i_R11_c_i
struct[0].Gy_ini[157,15] = -i_R11_c_r
struct[0].Gy_ini[157,156] = v_R11_c_i - v_R11_n_i
struct[0].Gy_ini[157,157] = -v_R11_c_r + v_R11_n_r
struct[0].Gy_ini[160,16] = i_R15_a_r
struct[0].Gy_ini[160,17] = i_R15_a_i
struct[0].Gy_ini[160,22] = -i_R15_a_r
struct[0].Gy_ini[160,23] = -i_R15_a_i
struct[0].Gy_ini[160,160] = v_R15_a_r - v_R15_n_r
struct[0].Gy_ini[160,161] = v_R15_a_i - v_R15_n_i
struct[0].Gy_ini[161,18] = i_R15_b_r
struct[0].Gy_ini[161,19] = i_R15_b_i
struct[0].Gy_ini[161,22] = -i_R15_b_r
struct[0].Gy_ini[161,23] = -i_R15_b_i
struct[0].Gy_ini[161,162] = v_R15_b_r - v_R15_n_r
struct[0].Gy_ini[161,163] = v_R15_b_i - v_R15_n_i
struct[0].Gy_ini[162,20] = i_R15_c_r
struct[0].Gy_ini[162,21] = i_R15_c_i
struct[0].Gy_ini[162,22] = -i_R15_c_r
struct[0].Gy_ini[162,23] = -i_R15_c_i
struct[0].Gy_ini[162,164] = v_R15_c_r - v_R15_n_r
struct[0].Gy_ini[162,165] = v_R15_c_i - v_R15_n_i
struct[0].Gy_ini[163,16] = -i_R15_a_i
struct[0].Gy_ini[163,17] = i_R15_a_r
struct[0].Gy_ini[163,22] = i_R15_a_i
struct[0].Gy_ini[163,23] = -i_R15_a_r
struct[0].Gy_ini[163,160] = v_R15_a_i - v_R15_n_i
struct[0].Gy_ini[163,161] = -v_R15_a_r + v_R15_n_r
struct[0].Gy_ini[164,18] = -i_R15_b_i
struct[0].Gy_ini[164,19] = i_R15_b_r
struct[0].Gy_ini[164,22] = i_R15_b_i
struct[0].Gy_ini[164,23] = -i_R15_b_r
struct[0].Gy_ini[164,162] = v_R15_b_i - v_R15_n_i
struct[0].Gy_ini[164,163] = -v_R15_b_r + v_R15_n_r
struct[0].Gy_ini[165,20] = -i_R15_c_i
struct[0].Gy_ini[165,21] = i_R15_c_r
struct[0].Gy_ini[165,22] = i_R15_c_i
struct[0].Gy_ini[165,23] = -i_R15_c_r
struct[0].Gy_ini[165,164] = v_R15_c_i - v_R15_n_i
struct[0].Gy_ini[165,165] = -v_R15_c_r + v_R15_n_r
struct[0].Gy_ini[168,24] = i_R16_a_r
struct[0].Gy_ini[168,25] = i_R16_a_i
struct[0].Gy_ini[168,30] = -i_R16_a_r
struct[0].Gy_ini[168,31] = -i_R16_a_i
struct[0].Gy_ini[168,168] = v_R16_a_r - v_R16_n_r
struct[0].Gy_ini[168,169] = v_R16_a_i - v_R16_n_i
struct[0].Gy_ini[169,26] = i_R16_b_r
struct[0].Gy_ini[169,27] = i_R16_b_i
struct[0].Gy_ini[169,30] = -i_R16_b_r
struct[0].Gy_ini[169,31] = -i_R16_b_i
struct[0].Gy_ini[169,170] = v_R16_b_r - v_R16_n_r
struct[0].Gy_ini[169,171] = v_R16_b_i - v_R16_n_i
struct[0].Gy_ini[170,28] = i_R16_c_r
struct[0].Gy_ini[170,29] = i_R16_c_i
struct[0].Gy_ini[170,30] = -i_R16_c_r
struct[0].Gy_ini[170,31] = -i_R16_c_i
struct[0].Gy_ini[170,172] = v_R16_c_r - v_R16_n_r
struct[0].Gy_ini[170,173] = v_R16_c_i - v_R16_n_i
struct[0].Gy_ini[171,24] = -i_R16_a_i
struct[0].Gy_ini[171,25] = i_R16_a_r
struct[0].Gy_ini[171,30] = i_R16_a_i
struct[0].Gy_ini[171,31] = -i_R16_a_r
struct[0].Gy_ini[171,168] = v_R16_a_i - v_R16_n_i
struct[0].Gy_ini[171,169] = -v_R16_a_r + v_R16_n_r
struct[0].Gy_ini[172,26] = -i_R16_b_i
struct[0].Gy_ini[172,27] = i_R16_b_r
struct[0].Gy_ini[172,30] = i_R16_b_i
struct[0].Gy_ini[172,31] = -i_R16_b_r
struct[0].Gy_ini[172,170] = v_R16_b_i - v_R16_n_i
struct[0].Gy_ini[172,171] = -v_R16_b_r + v_R16_n_r
struct[0].Gy_ini[173,28] = -i_R16_c_i
struct[0].Gy_ini[173,29] = i_R16_c_r
struct[0].Gy_ini[173,30] = i_R16_c_i
struct[0].Gy_ini[173,31] = -i_R16_c_r
struct[0].Gy_ini[173,172] = v_R16_c_i - v_R16_n_i
struct[0].Gy_ini[173,173] = -v_R16_c_r + v_R16_n_r
struct[0].Gy_ini[176,32] = i_R17_a_r
struct[0].Gy_ini[176,33] = i_R17_a_i
struct[0].Gy_ini[176,38] = -i_R17_a_r
struct[0].Gy_ini[176,39] = -i_R17_a_i
struct[0].Gy_ini[176,176] = v_R17_a_r - v_R17_n_r
struct[0].Gy_ini[176,177] = v_R17_a_i - v_R17_n_i
struct[0].Gy_ini[177,34] = i_R17_b_r
struct[0].Gy_ini[177,35] = i_R17_b_i
struct[0].Gy_ini[177,38] = -i_R17_b_r
struct[0].Gy_ini[177,39] = -i_R17_b_i
struct[0].Gy_ini[177,178] = v_R17_b_r - v_R17_n_r
struct[0].Gy_ini[177,179] = v_R17_b_i - v_R17_n_i
struct[0].Gy_ini[178,36] = i_R17_c_r
struct[0].Gy_ini[178,37] = i_R17_c_i
struct[0].Gy_ini[178,38] = -i_R17_c_r
struct[0].Gy_ini[178,39] = -i_R17_c_i
struct[0].Gy_ini[178,180] = v_R17_c_r - v_R17_n_r
struct[0].Gy_ini[178,181] = v_R17_c_i - v_R17_n_i
struct[0].Gy_ini[179,32] = -i_R17_a_i
struct[0].Gy_ini[179,33] = i_R17_a_r
struct[0].Gy_ini[179,38] = i_R17_a_i
struct[0].Gy_ini[179,39] = -i_R17_a_r
struct[0].Gy_ini[179,176] = v_R17_a_i - v_R17_n_i
struct[0].Gy_ini[179,177] = -v_R17_a_r + v_R17_n_r
struct[0].Gy_ini[180,34] = -i_R17_b_i
struct[0].Gy_ini[180,35] = i_R17_b_r
struct[0].Gy_ini[180,38] = i_R17_b_i
struct[0].Gy_ini[180,39] = -i_R17_b_r
struct[0].Gy_ini[180,178] = v_R17_b_i - v_R17_n_i
struct[0].Gy_ini[180,179] = -v_R17_b_r + v_R17_n_r
struct[0].Gy_ini[181,36] = -i_R17_c_i
struct[0].Gy_ini[181,37] = i_R17_c_r
struct[0].Gy_ini[181,38] = i_R17_c_i
struct[0].Gy_ini[181,39] = -i_R17_c_r
struct[0].Gy_ini[181,180] = v_R17_c_i - v_R17_n_i
struct[0].Gy_ini[181,181] = -v_R17_c_r + v_R17_n_r
struct[0].Gy_ini[184,40] = i_R18_a_r
struct[0].Gy_ini[184,41] = i_R18_a_i
struct[0].Gy_ini[184,46] = -i_R18_a_r
struct[0].Gy_ini[184,47] = -i_R18_a_i
struct[0].Gy_ini[184,184] = v_R18_a_r - v_R18_n_r
struct[0].Gy_ini[184,185] = v_R18_a_i - v_R18_n_i
struct[0].Gy_ini[185,42] = i_R18_b_r
struct[0].Gy_ini[185,43] = i_R18_b_i
struct[0].Gy_ini[185,46] = -i_R18_b_r
struct[0].Gy_ini[185,47] = -i_R18_b_i
struct[0].Gy_ini[185,186] = v_R18_b_r - v_R18_n_r
struct[0].Gy_ini[185,187] = v_R18_b_i - v_R18_n_i
struct[0].Gy_ini[186,44] = i_R18_c_r
struct[0].Gy_ini[186,45] = i_R18_c_i
struct[0].Gy_ini[186,46] = -i_R18_c_r
struct[0].Gy_ini[186,47] = -i_R18_c_i
struct[0].Gy_ini[186,188] = v_R18_c_r - v_R18_n_r
struct[0].Gy_ini[186,189] = v_R18_c_i - v_R18_n_i
struct[0].Gy_ini[187,40] = -i_R18_a_i
struct[0].Gy_ini[187,41] = i_R18_a_r
struct[0].Gy_ini[187,46] = i_R18_a_i
struct[0].Gy_ini[187,47] = -i_R18_a_r
struct[0].Gy_ini[187,184] = v_R18_a_i - v_R18_n_i
struct[0].Gy_ini[187,185] = -v_R18_a_r + v_R18_n_r
struct[0].Gy_ini[188,42] = -i_R18_b_i
struct[0].Gy_ini[188,43] = i_R18_b_r
struct[0].Gy_ini[188,46] = i_R18_b_i
struct[0].Gy_ini[188,47] = -i_R18_b_r
struct[0].Gy_ini[188,186] = v_R18_b_i - v_R18_n_i
struct[0].Gy_ini[188,187] = -v_R18_b_r + v_R18_n_r
struct[0].Gy_ini[189,44] = -i_R18_c_i
struct[0].Gy_ini[189,45] = i_R18_c_r
struct[0].Gy_ini[189,46] = i_R18_c_i
struct[0].Gy_ini[189,47] = -i_R18_c_r
struct[0].Gy_ini[189,188] = v_R18_c_i - v_R18_n_i
struct[0].Gy_ini[189,189] = -v_R18_c_r + v_R18_n_r
@numba.njit(cache=True)
def run(t,struct,mode):
# Parameters:
# Inputs:
v_R0_a_r = struct[0].v_R0_a_r
v_R0_a_i = struct[0].v_R0_a_i
v_R0_b_r = struct[0].v_R0_b_r
v_R0_b_i = struct[0].v_R0_b_i
v_R0_c_r = struct[0].v_R0_c_r
v_R0_c_i = struct[0].v_R0_c_i
i_R1_n_r = struct[0].i_R1_n_r
i_R1_n_i = struct[0].i_R1_n_i
i_R11_n_r = struct[0].i_R11_n_r
i_R11_n_i = struct[0].i_R11_n_i
i_R15_n_r = struct[0].i_R15_n_r
i_R15_n_i = struct[0].i_R15_n_i
i_R16_n_r = struct[0].i_R16_n_r
i_R16_n_i = struct[0].i_R16_n_i
i_R17_n_r = struct[0].i_R17_n_r
i_R17_n_i = struct[0].i_R17_n_i
i_R18_n_r = struct[0].i_R18_n_r
i_R18_n_i = struct[0].i_R18_n_i
i_R2_a_r = struct[0].i_R2_a_r
i_R2_a_i = struct[0].i_R2_a_i
i_R2_b_r = struct[0].i_R2_b_r
i_R2_b_i = struct[0].i_R2_b_i
i_R2_c_r = struct[0].i_R2_c_r
i_R2_c_i = struct[0].i_R2_c_i
i_R2_n_r = struct[0].i_R2_n_r
i_R2_n_i = struct[0].i_R2_n_i
i_R3_a_r = struct[0].i_R3_a_r
i_R3_a_i = struct[0].i_R3_a_i
i_R3_b_r = struct[0].i_R3_b_r
i_R3_b_i = struct[0].i_R3_b_i
i_R3_c_r = struct[0].i_R3_c_r
i_R3_c_i = struct[0].i_R3_c_i
i_R3_n_r = struct[0].i_R3_n_r
i_R3_n_i = struct[0].i_R3_n_i
i_R4_a_r = struct[0].i_R4_a_r
i_R4_a_i = struct[0].i_R4_a_i
i_R4_b_r = struct[0].i_R4_b_r
i_R4_b_i = struct[0].i_R4_b_i
i_R4_c_r = struct[0].i_R4_c_r
i_R4_c_i = struct[0].i_R4_c_i
i_R4_n_r = struct[0].i_R4_n_r
i_R4_n_i = struct[0].i_R4_n_i
i_R5_a_r = struct[0].i_R5_a_r
i_R5_a_i = struct[0].i_R5_a_i
i_R5_b_r = struct[0].i_R5_b_r
i_R5_b_i = struct[0].i_R5_b_i
i_R5_c_r = struct[0].i_R5_c_r
i_R5_c_i = struct[0].i_R5_c_i
i_R5_n_r = struct[0].i_R5_n_r
i_R5_n_i = struct[0].i_R5_n_i
i_R6_a_r = struct[0].i_R6_a_r
i_R6_a_i = struct[0].i_R6_a_i
i_R6_b_r = struct[0].i_R6_b_r
i_R6_b_i = struct[0].i_R6_b_i
i_R6_c_r = struct[0].i_R6_c_r
i_R6_c_i = struct[0].i_R6_c_i
i_R6_n_r = struct[0].i_R6_n_r
i_R6_n_i = struct[0].i_R6_n_i
i_R7_a_r = struct[0].i_R7_a_r
i_R7_a_i = struct[0].i_R7_a_i
i_R7_b_r = struct[0].i_R7_b_r
i_R7_b_i = struct[0].i_R7_b_i
i_R7_c_r = struct[0].i_R7_c_r
i_R7_c_i = struct[0].i_R7_c_i
i_R7_n_r = struct[0].i_R7_n_r
i_R7_n_i = struct[0].i_R7_n_i
i_R8_a_r = struct[0].i_R8_a_r
i_R8_a_i = struct[0].i_R8_a_i
i_R8_b_r = struct[0].i_R8_b_r
i_R8_b_i = struct[0].i_R8_b_i
i_R8_c_r = struct[0].i_R8_c_r
i_R8_c_i = struct[0].i_R8_c_i
i_R8_n_r = struct[0].i_R8_n_r
i_R8_n_i = struct[0].i_R8_n_i
i_R9_a_r = struct[0].i_R9_a_r
i_R9_a_i = struct[0].i_R9_a_i
i_R9_b_r = struct[0].i_R9_b_r
i_R9_b_i = struct[0].i_R9_b_i
i_R9_c_r = struct[0].i_R9_c_r
i_R9_c_i = struct[0].i_R9_c_i
i_R9_n_r = struct[0].i_R9_n_r
i_R9_n_i = struct[0].i_R9_n_i
i_R10_a_r = struct[0].i_R10_a_r
i_R10_a_i = struct[0].i_R10_a_i
i_R10_b_r = struct[0].i_R10_b_r
i_R10_b_i = struct[0].i_R10_b_i
i_R10_c_r = struct[0].i_R10_c_r
i_R10_c_i = struct[0].i_R10_c_i
i_R10_n_r = struct[0].i_R10_n_r
i_R10_n_i = struct[0].i_R10_n_i
i_R12_a_r = struct[0].i_R12_a_r
i_R12_a_i = struct[0].i_R12_a_i
i_R12_b_r = struct[0].i_R12_b_r
i_R12_b_i = struct[0].i_R12_b_i
i_R12_c_r = struct[0].i_R12_c_r
i_R12_c_i = struct[0].i_R12_c_i
i_R12_n_r = struct[0].i_R12_n_r
i_R12_n_i = struct[0].i_R12_n_i
i_R13_a_r = struct[0].i_R13_a_r
i_R13_a_i = struct[0].i_R13_a_i
i_R13_b_r = struct[0].i_R13_b_r
i_R13_b_i = struct[0].i_R13_b_i
i_R13_c_r = struct[0].i_R13_c_r
i_R13_c_i = struct[0].i_R13_c_i
i_R13_n_r = struct[0].i_R13_n_r
i_R13_n_i = struct[0].i_R13_n_i
i_R14_a_r = struct[0].i_R14_a_r
i_R14_a_i = struct[0].i_R14_a_i
i_R14_b_r = struct[0].i_R14_b_r
i_R14_b_i = struct[0].i_R14_b_i
i_R14_c_r = struct[0].i_R14_c_r
i_R14_c_i = struct[0].i_R14_c_i
i_R14_n_r = struct[0].i_R14_n_r
i_R14_n_i = struct[0].i_R14_n_i
p_R1_a = struct[0].p_R1_a
q_R1_a = struct[0].q_R1_a
p_R1_b = struct[0].p_R1_b
q_R1_b = struct[0].q_R1_b
p_R1_c = struct[0].p_R1_c
q_R1_c = struct[0].q_R1_c
p_R11_a = struct[0].p_R11_a
q_R11_a = struct[0].q_R11_a
p_R11_b = struct[0].p_R11_b
q_R11_b = struct[0].q_R11_b
p_R11_c = struct[0].p_R11_c
q_R11_c = struct[0].q_R11_c
p_R15_a = struct[0].p_R15_a
q_R15_a = struct[0].q_R15_a
p_R15_b = struct[0].p_R15_b
q_R15_b = struct[0].q_R15_b
p_R15_c = struct[0].p_R15_c
q_R15_c = struct[0].q_R15_c
p_R16_a = struct[0].p_R16_a
q_R16_a = struct[0].q_R16_a
p_R16_b = struct[0].p_R16_b
q_R16_b = struct[0].q_R16_b
p_R16_c = struct[0].p_R16_c
q_R16_c = struct[0].q_R16_c
p_R17_a = struct[0].p_R17_a
q_R17_a = struct[0].q_R17_a
p_R17_b = struct[0].p_R17_b
q_R17_b = struct[0].q_R17_b
p_R17_c = struct[0].p_R17_c
q_R17_c = struct[0].q_R17_c
p_R18_a = struct[0].p_R18_a
q_R18_a = struct[0].q_R18_a
p_R18_b = struct[0].p_R18_b
q_R18_b = struct[0].q_R18_b
p_R18_c = struct[0].p_R18_c
q_R18_c = struct[0].q_R18_c
u_dummy = struct[0].u_dummy
# Dynamical states:
x_dummy = struct[0].x[0,0]
# Algebraic states:
v_R1_a_r = struct[0].y_run[0,0]
v_R1_a_i = struct[0].y_run[1,0]
v_R1_b_r = struct[0].y_run[2,0]
v_R1_b_i = struct[0].y_run[3,0]
v_R1_c_r = struct[0].y_run[4,0]
v_R1_c_i = struct[0].y_run[5,0]
v_R1_n_r = struct[0].y_run[6,0]
v_R1_n_i = struct[0].y_run[7,0]
v_R11_a_r = struct[0].y_run[8,0]
v_R11_a_i = struct[0].y_run[9,0]
v_R11_b_r = struct[0].y_run[10,0]
v_R11_b_i = struct[0].y_run[11,0]
v_R11_c_r = struct[0].y_run[12,0]
v_R11_c_i = struct[0].y_run[13,0]
v_R11_n_r = struct[0].y_run[14,0]
v_R11_n_i = struct[0].y_run[15,0]
v_R15_a_r = struct[0].y_run[16,0]
v_R15_a_i = struct[0].y_run[17,0]
v_R15_b_r = struct[0].y_run[18,0]
v_R15_b_i = struct[0].y_run[19,0]
v_R15_c_r = struct[0].y_run[20,0]
v_R15_c_i = struct[0].y_run[21,0]
v_R15_n_r = struct[0].y_run[22,0]
v_R15_n_i = struct[0].y_run[23,0]
v_R16_a_r = struct[0].y_run[24,0]
v_R16_a_i = struct[0].y_run[25,0]
v_R16_b_r = struct[0].y_run[26,0]
v_R16_b_i = struct[0].y_run[27,0]
v_R16_c_r = struct[0].y_run[28,0]
v_R16_c_i = struct[0].y_run[29,0]
v_R16_n_r = struct[0].y_run[30,0]
v_R16_n_i = struct[0].y_run[31,0]
v_R17_a_r = struct[0].y_run[32,0]
v_R17_a_i = struct[0].y_run[33,0]
v_R17_b_r = struct[0].y_run[34,0]
v_R17_b_i = struct[0].y_run[35,0]
v_R17_c_r = struct[0].y_run[36,0]
v_R17_c_i = struct[0].y_run[37,0]
v_R17_n_r = struct[0].y_run[38,0]
v_R17_n_i = struct[0].y_run[39,0]
v_R18_a_r = struct[0].y_run[40,0]
v_R18_a_i = struct[0].y_run[41,0]
v_R18_b_r = struct[0].y_run[42,0]
v_R18_b_i = struct[0].y_run[43,0]
v_R18_c_r = struct[0].y_run[44,0]
v_R18_c_i = struct[0].y_run[45,0]
v_R18_n_r = struct[0].y_run[46,0]
v_R18_n_i = struct[0].y_run[47,0]
v_R2_a_r = struct[0].y_run[48,0]
v_R2_a_i = struct[0].y_run[49,0]
v_R2_b_r = struct[0].y_run[50,0]
v_R2_b_i = struct[0].y_run[51,0]
v_R2_c_r = struct[0].y_run[52,0]
v_R2_c_i = struct[0].y_run[53,0]
v_R2_n_r = struct[0].y_run[54,0]
v_R2_n_i = struct[0].y_run[55,0]
v_R3_a_r = struct[0].y_run[56,0]
v_R3_a_i = struct[0].y_run[57,0]
v_R3_b_r = struct[0].y_run[58,0]
v_R3_b_i = struct[0].y_run[59,0]
v_R3_c_r = struct[0].y_run[60,0]
v_R3_c_i = struct[0].y_run[61,0]
v_R3_n_r = struct[0].y_run[62,0]
v_R3_n_i = struct[0].y_run[63,0]
v_R4_a_r = struct[0].y_run[64,0]
v_R4_a_i = struct[0].y_run[65,0]
v_R4_b_r = struct[0].y_run[66,0]
v_R4_b_i = struct[0].y_run[67,0]
v_R4_c_r = struct[0].y_run[68,0]
v_R4_c_i = struct[0].y_run[69,0]
v_R4_n_r = struct[0].y_run[70,0]
v_R4_n_i = struct[0].y_run[71,0]
v_R5_a_r = struct[0].y_run[72,0]
v_R5_a_i = struct[0].y_run[73,0]
v_R5_b_r = struct[0].y_run[74,0]
v_R5_b_i = struct[0].y_run[75,0]
v_R5_c_r = struct[0].y_run[76,0]
v_R5_c_i = struct[0].y_run[77,0]
v_R5_n_r = struct[0].y_run[78,0]
v_R5_n_i = struct[0].y_run[79,0]
v_R6_a_r = struct[0].y_run[80,0]
v_R6_a_i = struct[0].y_run[81,0]
v_R6_b_r = struct[0].y_run[82,0]
v_R6_b_i = struct[0].y_run[83,0]
v_R6_c_r = struct[0].y_run[84,0]
v_R6_c_i = struct[0].y_run[85,0]
v_R6_n_r = struct[0].y_run[86,0]
v_R6_n_i = struct[0].y_run[87,0]
v_R7_a_r = struct[0].y_run[88,0]
v_R7_a_i = struct[0].y_run[89,0]
v_R7_b_r = struct[0].y_run[90,0]
v_R7_b_i = struct[0].y_run[91,0]
v_R7_c_r = struct[0].y_run[92,0]
v_R7_c_i = struct[0].y_run[93,0]
v_R7_n_r = struct[0].y_run[94,0]
v_R7_n_i = struct[0].y_run[95,0]
v_R8_a_r = struct[0].y_run[96,0]
v_R8_a_i = struct[0].y_run[97,0]
v_R8_b_r = struct[0].y_run[98,0]
v_R8_b_i = struct[0].y_run[99,0]
v_R8_c_r = struct[0].y_run[100,0]
v_R8_c_i = struct[0].y_run[101,0]
v_R8_n_r = struct[0].y_run[102,0]
v_R8_n_i = struct[0].y_run[103,0]
v_R9_a_r = struct[0].y_run[104,0]
v_R9_a_i = struct[0].y_run[105,0]
v_R9_b_r = struct[0].y_run[106,0]
v_R9_b_i = struct[0].y_run[107,0]
v_R9_c_r = struct[0].y_run[108,0]
v_R9_c_i = struct[0].y_run[109,0]
v_R9_n_r = struct[0].y_run[110,0]
v_R9_n_i = struct[0].y_run[111,0]
v_R10_a_r = struct[0].y_run[112,0]
v_R10_a_i = struct[0].y_run[113,0]
v_R10_b_r = struct[0].y_run[114,0]
v_R10_b_i = struct[0].y_run[115,0]
v_R10_c_r = struct[0].y_run[116,0]
v_R10_c_i = struct[0].y_run[117,0]
v_R10_n_r = struct[0].y_run[118,0]
v_R10_n_i = struct[0].y_run[119,0]
v_R12_a_r = struct[0].y_run[120,0]
v_R12_a_i = struct[0].y_run[121,0]
v_R12_b_r = struct[0].y_run[122,0]
v_R12_b_i = struct[0].y_run[123,0]
v_R12_c_r = struct[0].y_run[124,0]
v_R12_c_i = struct[0].y_run[125,0]
v_R12_n_r = struct[0].y_run[126,0]
v_R12_n_i = struct[0].y_run[127,0]
v_R13_a_r = struct[0].y_run[128,0]
v_R13_a_i = struct[0].y_run[129,0]
v_R13_b_r = struct[0].y_run[130,0]
v_R13_b_i = struct[0].y_run[131,0]
v_R13_c_r = struct[0].y_run[132,0]
v_R13_c_i = struct[0].y_run[133,0]
v_R13_n_r = struct[0].y_run[134,0]
v_R13_n_i = struct[0].y_run[135,0]
v_R14_a_r = struct[0].y_run[136,0]
v_R14_a_i = struct[0].y_run[137,0]
v_R14_b_r = struct[0].y_run[138,0]
v_R14_b_i = struct[0].y_run[139,0]
v_R14_c_r = struct[0].y_run[140,0]
v_R14_c_i = struct[0].y_run[141,0]
v_R14_n_r = struct[0].y_run[142,0]
v_R14_n_i = struct[0].y_run[143,0]
i_R1_a_r = struct[0].y_run[144,0]
i_R1_a_i = struct[0].y_run[145,0]
i_R1_b_r = struct[0].y_run[146,0]
i_R1_b_i = struct[0].y_run[147,0]
i_R1_c_r = struct[0].y_run[148,0]
i_R1_c_i = struct[0].y_run[149,0]
i_R1_n_r = struct[0].y_run[150,0]
i_R1_n_i = struct[0].y_run[151,0]
i_R11_a_r = struct[0].y_run[152,0]
i_R11_a_i = struct[0].y_run[153,0]
i_R11_b_r = struct[0].y_run[154,0]
i_R11_b_i = struct[0].y_run[155,0]
i_R11_c_r = struct[0].y_run[156,0]
i_R11_c_i = struct[0].y_run[157,0]
i_R11_n_r = struct[0].y_run[158,0]
i_R11_n_i = struct[0].y_run[159,0]
i_R15_a_r = struct[0].y_run[160,0]
i_R15_a_i = struct[0].y_run[161,0]
i_R15_b_r = struct[0].y_run[162,0]
i_R15_b_i = struct[0].y_run[163,0]
i_R15_c_r = struct[0].y_run[164,0]
i_R15_c_i = struct[0].y_run[165,0]
i_R15_n_r = struct[0].y_run[166,0]
i_R15_n_i = struct[0].y_run[167,0]
i_R16_a_r = struct[0].y_run[168,0]
i_R16_a_i = struct[0].y_run[169,0]
i_R16_b_r = struct[0].y_run[170,0]
i_R16_b_i = struct[0].y_run[171,0]
i_R16_c_r = struct[0].y_run[172,0]
i_R16_c_i = struct[0].y_run[173,0]
i_R16_n_r = struct[0].y_run[174,0]
i_R16_n_i = struct[0].y_run[175,0]
i_R17_a_r = struct[0].y_run[176,0]
i_R17_a_i = struct[0].y_run[177,0]
i_R17_b_r = struct[0].y_run[178,0]
i_R17_b_i = struct[0].y_run[179,0]
i_R17_c_r = struct[0].y_run[180,0]
i_R17_c_i = struct[0].y_run[181,0]
i_R17_n_r = struct[0].y_run[182,0]
i_R17_n_i = struct[0].y_run[183,0]
i_R18_a_r = struct[0].y_run[184,0]
i_R18_a_i = struct[0].y_run[185,0]
i_R18_b_r = struct[0].y_run[186,0]
i_R18_b_i = struct[0].y_run[187,0]
i_R18_c_r = struct[0].y_run[188,0]
i_R18_c_i = struct[0].y_run[189,0]
i_R18_n_r = struct[0].y_run[190,0]
i_R18_n_i = struct[0].y_run[191,0]
struct[0].u_run[0,0] = v_R0_a_r
struct[0].u_run[1,0] = v_R0_a_i
struct[0].u_run[2,0] = v_R0_b_r
struct[0].u_run[3,0] = v_R0_b_i
struct[0].u_run[4,0] = v_R0_c_r
struct[0].u_run[5,0] = v_R0_c_i
struct[0].u_run[6,0] = i_R1_n_r
struct[0].u_run[7,0] = i_R1_n_i
struct[0].u_run[8,0] = i_R11_n_r
struct[0].u_run[9,0] = i_R11_n_i
struct[0].u_run[10,0] = i_R15_n_r
struct[0].u_run[11,0] = i_R15_n_i
struct[0].u_run[12,0] = i_R16_n_r
struct[0].u_run[13,0] = i_R16_n_i
struct[0].u_run[14,0] = i_R17_n_r
struct[0].u_run[15,0] = i_R17_n_i
struct[0].u_run[16,0] = i_R18_n_r
struct[0].u_run[17,0] = i_R18_n_i
struct[0].u_run[18,0] = i_R2_a_r
struct[0].u_run[19,0] = i_R2_a_i
struct[0].u_run[20,0] = i_R2_b_r
struct[0].u_run[21,0] = i_R2_b_i
struct[0].u_run[22,0] = i_R2_c_r
struct[0].u_run[23,0] = i_R2_c_i
struct[0].u_run[24,0] = i_R2_n_r
struct[0].u_run[25,0] = i_R2_n_i
struct[0].u_run[26,0] = i_R3_a_r
struct[0].u_run[27,0] = i_R3_a_i
struct[0].u_run[28,0] = i_R3_b_r
struct[0].u_run[29,0] = i_R3_b_i
struct[0].u_run[30,0] = i_R3_c_r
struct[0].u_run[31,0] = i_R3_c_i
struct[0].u_run[32,0] = i_R3_n_r
struct[0].u_run[33,0] = i_R3_n_i
struct[0].u_run[34,0] = i_R4_a_r
struct[0].u_run[35,0] = i_R4_a_i
struct[0].u_run[36,0] = i_R4_b_r
struct[0].u_run[37,0] = i_R4_b_i
struct[0].u_run[38,0] = i_R4_c_r
struct[0].u_run[39,0] = i_R4_c_i
struct[0].u_run[40,0] = i_R4_n_r
struct[0].u_run[41,0] = i_R4_n_i
struct[0].u_run[42,0] = i_R5_a_r
struct[0].u_run[43,0] = i_R5_a_i
struct[0].u_run[44,0] = i_R5_b_r
struct[0].u_run[45,0] = i_R5_b_i
struct[0].u_run[46,0] = i_R5_c_r
struct[0].u_run[47,0] = i_R5_c_i
struct[0].u_run[48,0] = i_R5_n_r
struct[0].u_run[49,0] = i_R5_n_i
struct[0].u_run[50,0] = i_R6_a_r
struct[0].u_run[51,0] = i_R6_a_i
struct[0].u_run[52,0] = i_R6_b_r
struct[0].u_run[53,0] = i_R6_b_i
struct[0].u_run[54,0] = i_R6_c_r
struct[0].u_run[55,0] = i_R6_c_i
struct[0].u_run[56,0] = i_R6_n_r
struct[0].u_run[57,0] = i_R6_n_i
struct[0].u_run[58,0] = i_R7_a_r
struct[0].u_run[59,0] = i_R7_a_i
struct[0].u_run[60,0] = i_R7_b_r
struct[0].u_run[61,0] = i_R7_b_i
struct[0].u_run[62,0] = i_R7_c_r
struct[0].u_run[63,0] = i_R7_c_i
struct[0].u_run[64,0] = i_R7_n_r
struct[0].u_run[65,0] = i_R7_n_i
struct[0].u_run[66,0] = i_R8_a_r
struct[0].u_run[67,0] = i_R8_a_i
struct[0].u_run[68,0] = i_R8_b_r
struct[0].u_run[69,0] = i_R8_b_i
struct[0].u_run[70,0] = i_R8_c_r
struct[0].u_run[71,0] = i_R8_c_i
struct[0].u_run[72,0] = i_R8_n_r
struct[0].u_run[73,0] = i_R8_n_i
struct[0].u_run[74,0] = i_R9_a_r
struct[0].u_run[75,0] = i_R9_a_i
struct[0].u_run[76,0] = i_R9_b_r
struct[0].u_run[77,0] = i_R9_b_i
struct[0].u_run[78,0] = i_R9_c_r
struct[0].u_run[79,0] = i_R9_c_i
struct[0].u_run[80,0] = i_R9_n_r
struct[0].u_run[81,0] = i_R9_n_i
struct[0].u_run[82,0] = i_R10_a_r
struct[0].u_run[83,0] = i_R10_a_i
struct[0].u_run[84,0] = i_R10_b_r
struct[0].u_run[85,0] = i_R10_b_i
struct[0].u_run[86,0] = i_R10_c_r
struct[0].u_run[87,0] = i_R10_c_i
struct[0].u_run[88,0] = i_R10_n_r
struct[0].u_run[89,0] = i_R10_n_i
struct[0].u_run[90,0] = i_R12_a_r
struct[0].u_run[91,0] = i_R12_a_i
struct[0].u_run[92,0] = i_R12_b_r
struct[0].u_run[93,0] = i_R12_b_i
struct[0].u_run[94,0] = i_R12_c_r
struct[0].u_run[95,0] = i_R12_c_i
struct[0].u_run[96,0] = i_R12_n_r
struct[0].u_run[97,0] = i_R12_n_i
struct[0].u_run[98,0] = i_R13_a_r
struct[0].u_run[99,0] = i_R13_a_i
struct[0].u_run[100,0] = i_R13_b_r
struct[0].u_run[101,0] = i_R13_b_i
struct[0].u_run[102,0] = i_R13_c_r
struct[0].u_run[103,0] = i_R13_c_i
struct[0].u_run[104,0] = i_R13_n_r
struct[0].u_run[105,0] = i_R13_n_i
struct[0].u_run[106,0] = i_R14_a_r
struct[0].u_run[107,0] = i_R14_a_i
struct[0].u_run[108,0] = i_R14_b_r
struct[0].u_run[109,0] = i_R14_b_i
struct[0].u_run[110,0] = i_R14_c_r
struct[0].u_run[111,0] = i_R14_c_i
struct[0].u_run[112,0] = i_R14_n_r
struct[0].u_run[113,0] = i_R14_n_i
struct[0].u_run[114,0] = p_R1_a
struct[0].u_run[115,0] = q_R1_a
struct[0].u_run[116,0] = p_R1_b
struct[0].u_run[117,0] = q_R1_b
struct[0].u_run[118,0] = p_R1_c
struct[0].u_run[119,0] = q_R1_c
struct[0].u_run[120,0] = p_R11_a
struct[0].u_run[121,0] = q_R11_a
struct[0].u_run[122,0] = p_R11_b
struct[0].u_run[123,0] = q_R11_b
struct[0].u_run[124,0] = p_R11_c
struct[0].u_run[125,0] = q_R11_c
struct[0].u_run[126,0] = p_R15_a
struct[0].u_run[127,0] = q_R15_a
struct[0].u_run[128,0] = p_R15_b
struct[0].u_run[129,0] = q_R15_b
struct[0].u_run[130,0] = p_R15_c
struct[0].u_run[131,0] = q_R15_c
struct[0].u_run[132,0] = p_R16_a
struct[0].u_run[133,0] = q_R16_a
struct[0].u_run[134,0] = p_R16_b
struct[0].u_run[135,0] = q_R16_b
struct[0].u_run[136,0] = p_R16_c
struct[0].u_run[137,0] = q_R16_c
struct[0].u_run[138,0] = p_R17_a
struct[0].u_run[139,0] = q_R17_a
struct[0].u_run[140,0] = p_R17_b
struct[0].u_run[141,0] = q_R17_b
struct[0].u_run[142,0] = p_R17_c
struct[0].u_run[143,0] = q_R17_c
struct[0].u_run[144,0] = p_R18_a
struct[0].u_run[145,0] = q_R18_a
struct[0].u_run[146,0] = p_R18_b
struct[0].u_run[147,0] = q_R18_b
struct[0].u_run[148,0] = p_R18_c
struct[0].u_run[149,0] = q_R18_c
struct[0].u_run[150,0] = u_dummy
# Differential equations:
if mode == 2:
struct[0].f[0,0] = u_dummy - x_dummy
# Algebraic equations:
if mode == 3:
g_n = np.ascontiguousarray(struct[0].Gy) @ np.ascontiguousarray(struct[0].y_run) + np.ascontiguousarray(struct[0].Gu) @ np.ascontiguousarray(struct[0].u_run)
struct[0].g[0,0] = g_n[0,0]
struct[0].g[1,0] = g_n[1,0]
struct[0].g[2,0] = g_n[2,0]
struct[0].g[3,0] = g_n[3,0]
struct[0].g[4,0] = g_n[4,0]
struct[0].g[5,0] = g_n[5,0]
struct[0].g[6,0] = i_R1_n_r + 76.9647176296197*v_R1_a_i + 56.3125589068872*v_R1_a_r + 89.9783084852224*v_R1_b_i + 41.6309357959363*v_R1_b_r + 76.9647176296197*v_R1_c_i + 56.3125589068872*v_R1_c_r - 254.145804781065*v_R1_n_i - 155.925110649715*v_R1_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r - 23.284964480954*v_R2_b_i - 24.9575997948692*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058202*v_R2_c_r + 54.0657727682604*v_R2_n_i + 105.57176931318*v_R2_n_r
struct[0].g[7,0] = i_R1_n_i + 56.3125589068872*v_R1_a_i - 76.9647176296197*v_R1_a_r + 41.6309357959363*v_R1_b_i - 89.9783084852224*v_R1_b_r + 56.3125589068872*v_R1_c_i - 76.9647176296197*v_R1_c_r - 155.925110649715*v_R1_n_i + 254.145804781065*v_R1_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r - 24.9575997948692*v_R2_b_i + 23.284964480954*v_R2_b_r - 39.6392229058202*v_R2_c_i + 10.2713736253513*v_R2_c_r + 105.57176931318*v_R2_n_i - 54.0657727682604*v_R2_n_r
struct[0].g[8,0] = g_n[8,0]
struct[0].g[9,0] = g_n[9,0]
struct[0].g[10,0] = g_n[10,0]
struct[0].g[11,0] = g_n[11,0]
struct[0].g[12,0] = g_n[12,0]
struct[0].g[13,0] = g_n[13,0]
struct[0].g[14,0] = i_R11_n_r - 1.58482814504483*v_R11_a_i + 7.89461337514771*v_R11_a_r - 0.679918453285308*v_R11_b_i + 7.72144347466701*v_R11_b_r - 1.58482814504483*v_R11_c_i + 7.89461337514771*v_R11_c_r - 4.84676915585801*v_R11_n_i - 26.5550693004806*v_R11_n_r + 1.58482814504483*v_R3_a_i - 7.89461337514771*v_R3_a_r + 0.679918453285308*v_R3_b_i - 7.72144347466701*v_R3_b_r + 1.58482814504483*v_R3_c_i - 7.89461337514771*v_R3_c_r + 4.84676915585801*v_R3_n_i + 26.5300693004806*v_R3_n_r
struct[0].g[15,0] = i_R11_n_i + 7.89461337514771*v_R11_a_i + 1.58482814504483*v_R11_a_r + 7.72144347466701*v_R11_b_i + 0.679918453285308*v_R11_b_r + 7.89461337514771*v_R11_c_i + 1.58482814504483*v_R11_c_r - 26.5550693004806*v_R11_n_i + 4.84676915585801*v_R11_n_r - 7.89461337514771*v_R3_a_i - 1.58482814504483*v_R3_a_r - 7.72144347466701*v_R3_b_i - 0.679918453285308*v_R3_b_r - 7.89461337514771*v_R3_c_i - 1.58482814504483*v_R3_c_r + 26.5300693004806*v_R3_n_i - 4.84676915585801*v_R3_n_r
struct[0].g[16,0] = g_n[16,0]
struct[0].g[17,0] = g_n[17,0]
struct[0].g[18,0] = g_n[18,0]
struct[0].g[19,0] = g_n[19,0]
struct[0].g[20,0] = g_n[20,0]
struct[0].g[21,0] = g_n[21,0]
struct[0].g[22,0] = i_R15_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 0.679918453285308*v_R14_b_i - 7.72144347466701*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 4.84676915585801*v_R14_n_i + 26.5300693004806*v_R14_n_r - 1.58482814504483*v_R15_a_i + 7.89461337514771*v_R15_a_r - 0.679918453285308*v_R15_b_i + 7.72144347466701*v_R15_b_r - 1.58482814504483*v_R15_c_i + 7.89461337514771*v_R15_c_r - 4.84676915585801*v_R15_n_i - 26.5550693004806*v_R15_n_r
struct[0].g[23,0] = i_R15_n_i - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r - 7.72144347466701*v_R14_b_i - 0.679918453285308*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r + 26.5300693004806*v_R14_n_i - 4.84676915585801*v_R14_n_r + 7.89461337514771*v_R15_a_i + 1.58482814504483*v_R15_a_r + 7.72144347466701*v_R15_b_i + 0.679918453285308*v_R15_b_r + 7.89461337514771*v_R15_c_i + 1.58482814504483*v_R15_c_r - 26.5550693004806*v_R15_n_i + 4.84676915585801*v_R15_n_r
struct[0].g[24,0] = g_n[24,0]
struct[0].g[25,0] = g_n[25,0]
struct[0].g[26,0] = g_n[26,0]
struct[0].g[27,0] = g_n[27,0]
struct[0].g[28,0] = g_n[28,0]
struct[0].g[29,0] = g_n[29,0]
struct[0].g[30,0] = i_R16_n_r - 1.84896616921897*v_R16_a_i + 9.21038227100566*v_R16_a_r - 0.793238195499527*v_R16_b_i + 9.00835072044485*v_R16_b_r - 1.84896616921897*v_R16_c_i + 9.21038227100566*v_R16_c_r - 5.65456401516768*v_R16_n_i - 30.9767475172273*v_R16_n_r + 1.84896616921897*v_R6_a_i - 9.21038227100566*v_R6_a_r + 0.793238195499527*v_R6_b_i - 9.00835072044485*v_R6_b_r + 1.84896616921897*v_R6_c_i - 9.21038227100566*v_R6_c_r + 5.65456401516768*v_R6_n_i + 30.9517475172273*v_R6_n_r
struct[0].g[31,0] = i_R16_n_i + 9.21038227100566*v_R16_a_i + 1.84896616921897*v_R16_a_r + 9.00835072044485*v_R16_b_i + 0.793238195499527*v_R16_b_r + 9.21038227100566*v_R16_c_i + 1.84896616921897*v_R16_c_r - 30.9767475172273*v_R16_n_i + 5.65456401516768*v_R16_n_r - 9.21038227100566*v_R6_a_i - 1.84896616921897*v_R6_a_r - 9.00835072044485*v_R6_b_i - 0.793238195499527*v_R6_b_r - 9.21038227100566*v_R6_c_i - 1.84896616921897*v_R6_c_r + 30.9517475172273*v_R6_n_i - 5.65456401516768*v_R6_n_r
struct[0].g[32,0] = g_n[32,0]
struct[0].g[33,0] = g_n[33,0]
struct[0].g[34,0] = g_n[34,0]
struct[0].g[35,0] = g_n[35,0]
struct[0].g[36,0] = g_n[36,0]
struct[0].g[37,0] = g_n[37,0]
struct[0].g[38,0] = i_R17_n_r - 1.84896616921897*v_R17_a_i + 9.21038227100566*v_R17_a_r - 0.793238195499527*v_R17_b_i + 9.00835072044485*v_R17_b_r - 1.84896616921897*v_R17_c_i + 9.21038227100566*v_R17_c_r - 5.65456401516768*v_R17_n_i - 30.9767475172273*v_R17_n_r + 1.84896616921897*v_R9_a_i - 9.21038227100566*v_R9_a_r + 0.793238195499527*v_R9_b_i - 9.00835072044485*v_R9_b_r + 1.84896616921897*v_R9_c_i - 9.21038227100566*v_R9_c_r + 5.65456401516768*v_R9_n_i + 30.9517475172273*v_R9_n_r
struct[0].g[39,0] = i_R17_n_i + 9.21038227100566*v_R17_a_i + 1.84896616921897*v_R17_a_r + 9.00835072044485*v_R17_b_i + 0.793238195499527*v_R17_b_r + 9.21038227100566*v_R17_c_i + 1.84896616921897*v_R17_c_r - 30.9767475172273*v_R17_n_i + 5.65456401516768*v_R17_n_r - 9.21038227100566*v_R9_a_i - 1.84896616921897*v_R9_a_r - 9.00835072044485*v_R9_b_i - 0.793238195499527*v_R9_b_r - 9.21038227100566*v_R9_c_i - 1.84896616921897*v_R9_c_r + 30.9517475172273*v_R9_n_i - 5.65456401516768*v_R9_n_r
struct[0].g[40,0] = g_n[40,0]
struct[0].g[41,0] = g_n[41,0]
struct[0].g[42,0] = g_n[42,0]
struct[0].g[43,0] = g_n[43,0]
struct[0].g[44,0] = g_n[44,0]
struct[0].g[45,0] = g_n[45,0]
struct[0].g[46,0] = i_R18_n_r + 1.84896616921897*v_R10_a_i - 9.21038227100566*v_R10_a_r + 0.793238195499527*v_R10_b_i - 9.00835072044485*v_R10_b_r + 1.84896616921897*v_R10_c_i - 9.21038227100566*v_R10_c_r + 5.65456401516768*v_R10_n_i + 30.9517475172273*v_R10_n_r - 1.84896616921897*v_R18_a_i + 9.21038227100566*v_R18_a_r - 0.793238195499527*v_R18_b_i + 9.00835072044485*v_R18_b_r - 1.84896616921897*v_R18_c_i + 9.21038227100566*v_R18_c_r - 5.65456401516768*v_R18_n_i - 30.9767475172273*v_R18_n_r
struct[0].g[47,0] = i_R18_n_i - 9.21038227100566*v_R10_a_i - 1.84896616921897*v_R10_a_r - 9.00835072044485*v_R10_b_i - 0.793238195499527*v_R10_b_r - 9.21038227100566*v_R10_c_i - 1.84896616921897*v_R10_c_r + 30.9517475172273*v_R10_n_i - 5.65456401516768*v_R10_n_r + 9.21038227100566*v_R18_a_i + 1.84896616921897*v_R18_a_r + 9.00835072044485*v_R18_b_i + 0.793238195499527*v_R18_b_r + 9.21038227100566*v_R18_c_i + 1.84896616921897*v_R18_c_r - 30.9767475172273*v_R18_n_i + 5.65456401516768*v_R18_n_r
struct[0].g[48,0] = g_n[48,0]
struct[0].g[49,0] = g_n[49,0]
struct[0].g[50,0] = g_n[50,0]
struct[0].g[51,0] = g_n[51,0]
struct[0].g[52,0] = g_n[52,0]
struct[0].g[53,0] = g_n[53,0]
struct[0].g[54,0] = g_n[54,0]
struct[0].g[55,0] = g_n[55,0]
struct[0].g[56,0] = g_n[56,0]
struct[0].g[57,0] = g_n[57,0]
struct[0].g[58,0] = g_n[58,0]
struct[0].g[59,0] = g_n[59,0]
struct[0].g[60,0] = g_n[60,0]
struct[0].g[61,0] = g_n[61,0]
struct[0].g[62,0] = g_n[62,0]
struct[0].g[63,0] = g_n[63,0]
struct[0].g[64,0] = g_n[64,0]
struct[0].g[65,0] = g_n[65,0]
struct[0].g[66,0] = g_n[66,0]
struct[0].g[67,0] = g_n[67,0]
struct[0].g[68,0] = g_n[68,0]
struct[0].g[69,0] = g_n[69,0]
struct[0].g[70,0] = g_n[70,0]
struct[0].g[71,0] = g_n[71,0]
struct[0].g[72,0] = g_n[72,0]
struct[0].g[73,0] = g_n[73,0]
struct[0].g[74,0] = g_n[74,0]
struct[0].g[75,0] = g_n[75,0]
struct[0].g[76,0] = g_n[76,0]
struct[0].g[77,0] = g_n[77,0]
struct[0].g[78,0] = g_n[78,0]
struct[0].g[79,0] = g_n[79,0]
struct[0].g[80,0] = g_n[80,0]
struct[0].g[81,0] = g_n[81,0]
struct[0].g[82,0] = g_n[82,0]
struct[0].g[83,0] = g_n[83,0]
struct[0].g[84,0] = g_n[84,0]
struct[0].g[85,0] = g_n[85,0]
struct[0].g[86,0] = g_n[86,0]
struct[0].g[87,0] = g_n[87,0]
struct[0].g[88,0] = g_n[88,0]
struct[0].g[89,0] = g_n[89,0]
struct[0].g[90,0] = g_n[90,0]
struct[0].g[91,0] = g_n[91,0]
struct[0].g[92,0] = g_n[92,0]
struct[0].g[93,0] = g_n[93,0]
struct[0].g[94,0] = g_n[94,0]
struct[0].g[95,0] = g_n[95,0]
struct[0].g[96,0] = g_n[96,0]
struct[0].g[97,0] = g_n[97,0]
struct[0].g[98,0] = g_n[98,0]
struct[0].g[99,0] = g_n[99,0]
struct[0].g[100,0] = g_n[100,0]
struct[0].g[101,0] = g_n[101,0]
struct[0].g[102,0] = g_n[102,0]
struct[0].g[103,0] = g_n[103,0]
struct[0].g[104,0] = g_n[104,0]
struct[0].g[105,0] = g_n[105,0]
struct[0].g[106,0] = g_n[106,0]
struct[0].g[107,0] = g_n[107,0]
struct[0].g[108,0] = g_n[108,0]
struct[0].g[109,0] = g_n[109,0]
struct[0].g[110,0] = g_n[110,0]
struct[0].g[111,0] = g_n[111,0]
struct[0].g[112,0] = g_n[112,0]
struct[0].g[113,0] = g_n[113,0]
struct[0].g[114,0] = g_n[114,0]
struct[0].g[115,0] = g_n[115,0]
struct[0].g[116,0] = g_n[116,0]
struct[0].g[117,0] = g_n[117,0]
struct[0].g[118,0] = g_n[118,0]
struct[0].g[119,0] = g_n[119,0]
struct[0].g[120,0] = g_n[120,0]
struct[0].g[121,0] = g_n[121,0]
struct[0].g[122,0] = g_n[122,0]
struct[0].g[123,0] = g_n[123,0]
struct[0].g[124,0] = g_n[124,0]
struct[0].g[125,0] = g_n[125,0]
struct[0].g[126,0] = g_n[126,0]
struct[0].g[127,0] = g_n[127,0]
struct[0].g[128,0] = g_n[128,0]
struct[0].g[129,0] = g_n[129,0]
struct[0].g[130,0] = g_n[130,0]
struct[0].g[131,0] = g_n[131,0]
struct[0].g[132,0] = g_n[132,0]
struct[0].g[133,0] = g_n[133,0]
struct[0].g[134,0] = g_n[134,0]
struct[0].g[135,0] = g_n[135,0]
struct[0].g[136,0] = g_n[136,0]
struct[0].g[137,0] = g_n[137,0]
struct[0].g[138,0] = g_n[138,0]
struct[0].g[139,0] = g_n[139,0]
struct[0].g[140,0] = g_n[140,0]
struct[0].g[141,0] = g_n[141,0]
struct[0].g[142,0] = g_n[142,0]
struct[0].g[143,0] = g_n[143,0]
struct[0].g[144,0] = i_R1_a_i*v_R1_a_i - i_R1_a_i*v_R1_n_i + i_R1_a_r*v_R1_a_r - i_R1_a_r*v_R1_n_r - p_R1_a
struct[0].g[145,0] = i_R1_b_i*v_R1_b_i - i_R1_b_i*v_R1_n_i + i_R1_b_r*v_R1_b_r - i_R1_b_r*v_R1_n_r - p_R1_b
struct[0].g[146,0] = i_R1_c_i*v_R1_c_i - i_R1_c_i*v_R1_n_i + i_R1_c_r*v_R1_c_r - i_R1_c_r*v_R1_n_r - p_R1_c
struct[0].g[147,0] = -i_R1_a_i*v_R1_a_r + i_R1_a_i*v_R1_n_r + i_R1_a_r*v_R1_a_i - i_R1_a_r*v_R1_n_i - q_R1_a
struct[0].g[148,0] = -i_R1_b_i*v_R1_b_r + i_R1_b_i*v_R1_n_r + i_R1_b_r*v_R1_b_i - i_R1_b_r*v_R1_n_i - q_R1_b
struct[0].g[149,0] = -i_R1_c_i*v_R1_c_r + i_R1_c_i*v_R1_n_r + i_R1_c_r*v_R1_c_i - i_R1_c_r*v_R1_n_i - q_R1_c
struct[0].g[150,0] = i_R1_a_r + i_R1_b_r + i_R1_c_r + i_R1_n_r
struct[0].g[151,0] = i_R1_a_i + i_R1_b_i + i_R1_c_i + i_R1_n_i
struct[0].g[152,0] = i_R11_a_i*v_R11_a_i - i_R11_a_i*v_R11_n_i + i_R11_a_r*v_R11_a_r - i_R11_a_r*v_R11_n_r - p_R11_a
struct[0].g[153,0] = i_R11_b_i*v_R11_b_i - i_R11_b_i*v_R11_n_i + i_R11_b_r*v_R11_b_r - i_R11_b_r*v_R11_n_r - p_R11_b
struct[0].g[154,0] = i_R11_c_i*v_R11_c_i - i_R11_c_i*v_R11_n_i + i_R11_c_r*v_R11_c_r - i_R11_c_r*v_R11_n_r - p_R11_c
struct[0].g[155,0] = -i_R11_a_i*v_R11_a_r + i_R11_a_i*v_R11_n_r + i_R11_a_r*v_R11_a_i - i_R11_a_r*v_R11_n_i - q_R11_a
struct[0].g[156,0] = -i_R11_b_i*v_R11_b_r + i_R11_b_i*v_R11_n_r + i_R11_b_r*v_R11_b_i - i_R11_b_r*v_R11_n_i - q_R11_b
struct[0].g[157,0] = -i_R11_c_i*v_R11_c_r + i_R11_c_i*v_R11_n_r + i_R11_c_r*v_R11_c_i - i_R11_c_r*v_R11_n_i - q_R11_c
struct[0].g[158,0] = i_R11_a_r + i_R11_b_r + i_R11_c_r + i_R11_n_r
struct[0].g[159,0] = i_R11_a_i + i_R11_b_i + i_R11_c_i + i_R11_n_i
struct[0].g[160,0] = i_R15_a_i*v_R15_a_i - i_R15_a_i*v_R15_n_i + i_R15_a_r*v_R15_a_r - i_R15_a_r*v_R15_n_r - p_R15_a
struct[0].g[161,0] = i_R15_b_i*v_R15_b_i - i_R15_b_i*v_R15_n_i + i_R15_b_r*v_R15_b_r - i_R15_b_r*v_R15_n_r - p_R15_b
struct[0].g[162,0] = i_R15_c_i*v_R15_c_i - i_R15_c_i*v_R15_n_i + i_R15_c_r*v_R15_c_r - i_R15_c_r*v_R15_n_r - p_R15_c
struct[0].g[163,0] = -i_R15_a_i*v_R15_a_r + i_R15_a_i*v_R15_n_r + i_R15_a_r*v_R15_a_i - i_R15_a_r*v_R15_n_i - q_R15_a
struct[0].g[164,0] = -i_R15_b_i*v_R15_b_r + i_R15_b_i*v_R15_n_r + i_R15_b_r*v_R15_b_i - i_R15_b_r*v_R15_n_i - q_R15_b
struct[0].g[165,0] = -i_R15_c_i*v_R15_c_r + i_R15_c_i*v_R15_n_r + i_R15_c_r*v_R15_c_i - i_R15_c_r*v_R15_n_i - q_R15_c
struct[0].g[166,0] = i_R15_a_r + i_R15_b_r + i_R15_c_r + i_R15_n_r
struct[0].g[167,0] = i_R15_a_i + i_R15_b_i + i_R15_c_i + i_R15_n_i
struct[0].g[168,0] = i_R16_a_i*v_R16_a_i - i_R16_a_i*v_R16_n_i + i_R16_a_r*v_R16_a_r - i_R16_a_r*v_R16_n_r - p_R16_a
struct[0].g[169,0] = i_R16_b_i*v_R16_b_i - i_R16_b_i*v_R16_n_i + i_R16_b_r*v_R16_b_r - i_R16_b_r*v_R16_n_r - p_R16_b
struct[0].g[170,0] = i_R16_c_i*v_R16_c_i - i_R16_c_i*v_R16_n_i + i_R16_c_r*v_R16_c_r - i_R16_c_r*v_R16_n_r - p_R16_c
struct[0].g[171,0] = -i_R16_a_i*v_R16_a_r + i_R16_a_i*v_R16_n_r + i_R16_a_r*v_R16_a_i - i_R16_a_r*v_R16_n_i - q_R16_a
struct[0].g[172,0] = -i_R16_b_i*v_R16_b_r + i_R16_b_i*v_R16_n_r + i_R16_b_r*v_R16_b_i - i_R16_b_r*v_R16_n_i - q_R16_b
struct[0].g[173,0] = -i_R16_c_i*v_R16_c_r + i_R16_c_i*v_R16_n_r + i_R16_c_r*v_R16_c_i - i_R16_c_r*v_R16_n_i - q_R16_c
struct[0].g[174,0] = i_R16_a_r + i_R16_b_r + i_R16_c_r + i_R16_n_r
struct[0].g[175,0] = i_R16_a_i + i_R16_b_i + i_R16_c_i + i_R16_n_i
struct[0].g[176,0] = i_R17_a_i*v_R17_a_i - i_R17_a_i*v_R17_n_i + i_R17_a_r*v_R17_a_r - i_R17_a_r*v_R17_n_r - p_R17_a
struct[0].g[177,0] = i_R17_b_i*v_R17_b_i - i_R17_b_i*v_R17_n_i + i_R17_b_r*v_R17_b_r - i_R17_b_r*v_R17_n_r - p_R17_b
struct[0].g[178,0] = i_R17_c_i*v_R17_c_i - i_R17_c_i*v_R17_n_i + i_R17_c_r*v_R17_c_r - i_R17_c_r*v_R17_n_r - p_R17_c
struct[0].g[179,0] = -i_R17_a_i*v_R17_a_r + i_R17_a_i*v_R17_n_r + i_R17_a_r*v_R17_a_i - i_R17_a_r*v_R17_n_i - q_R17_a
struct[0].g[180,0] = -i_R17_b_i*v_R17_b_r + i_R17_b_i*v_R17_n_r + i_R17_b_r*v_R17_b_i - i_R17_b_r*v_R17_n_i - q_R17_b
struct[0].g[181,0] = -i_R17_c_i*v_R17_c_r + i_R17_c_i*v_R17_n_r + i_R17_c_r*v_R17_c_i - i_R17_c_r*v_R17_n_i - q_R17_c
struct[0].g[182,0] = i_R17_a_r + i_R17_b_r + i_R17_c_r + i_R17_n_r
struct[0].g[183,0] = i_R17_a_i + i_R17_b_i + i_R17_c_i + i_R17_n_i
struct[0].g[184,0] = i_R18_a_i*v_R18_a_i - i_R18_a_i*v_R18_n_i + i_R18_a_r*v_R18_a_r - i_R18_a_r*v_R18_n_r - p_R18_a
struct[0].g[185,0] = i_R18_b_i*v_R18_b_i - i_R18_b_i*v_R18_n_i + i_R18_b_r*v_R18_b_r - i_R18_b_r*v_R18_n_r - p_R18_b
struct[0].g[186,0] = i_R18_c_i*v_R18_c_i - i_R18_c_i*v_R18_n_i + i_R18_c_r*v_R18_c_r - i_R18_c_r*v_R18_n_r - p_R18_c
struct[0].g[187,0] = -i_R18_a_i*v_R18_a_r + i_R18_a_i*v_R18_n_r + i_R18_a_r*v_R18_a_i - i_R18_a_r*v_R18_n_i - q_R18_a
struct[0].g[188,0] = -i_R18_b_i*v_R18_b_r + i_R18_b_i*v_R18_n_r + i_R18_b_r*v_R18_b_i - i_R18_b_r*v_R18_n_i - q_R18_b
struct[0].g[189,0] = -i_R18_c_i*v_R18_c_r + i_R18_c_i*v_R18_n_r + i_R18_c_r*v_R18_c_i - i_R18_c_r*v_R18_n_i - q_R18_c
struct[0].g[190,0] = i_R18_a_r + i_R18_b_r + i_R18_c_r + i_R18_n_r
struct[0].g[191,0] = i_R18_a_i + i_R18_b_i + i_R18_c_i + i_R18_n_i
# Outputs:
if mode == 3:
struct[0].h[0,0] = (v_R0_a_i**2 + v_R0_a_r**2)**0.5
struct[0].h[1,0] = (v_R0_b_i**2 + v_R0_b_r**2)**0.5
struct[0].h[2,0] = (v_R0_c_i**2 + v_R0_c_r**2)**0.5
struct[0].h[3,0] = (v_R1_a_i**2 + v_R1_a_r**2)**0.5
struct[0].h[4,0] = (v_R1_b_i**2 + v_R1_b_r**2)**0.5
struct[0].h[5,0] = (v_R1_c_i**2 + v_R1_c_r**2)**0.5
struct[0].h[6,0] = (v_R1_n_i**2 + v_R1_n_r**2)**0.5
struct[0].h[7,0] = (v_R11_a_i**2 + v_R11_a_r**2)**0.5
struct[0].h[8,0] = (v_R11_b_i**2 + v_R11_b_r**2)**0.5
struct[0].h[9,0] = (v_R11_c_i**2 + v_R11_c_r**2)**0.5
struct[0].h[10,0] = (v_R11_n_i**2 + v_R11_n_r**2)**0.5
struct[0].h[11,0] = (v_R15_a_i**2 + v_R15_a_r**2)**0.5
struct[0].h[12,0] = (v_R15_b_i**2 + v_R15_b_r**2)**0.5
struct[0].h[13,0] = (v_R15_c_i**2 + v_R15_c_r**2)**0.5
struct[0].h[14,0] = (v_R15_n_i**2 + v_R15_n_r**2)**0.5
struct[0].h[15,0] = (v_R16_a_i**2 + v_R16_a_r**2)**0.5
struct[0].h[16,0] = (v_R16_b_i**2 + v_R16_b_r**2)**0.5
struct[0].h[17,0] = (v_R16_c_i**2 + v_R16_c_r**2)**0.5
struct[0].h[18,0] = (v_R16_n_i**2 + v_R16_n_r**2)**0.5
struct[0].h[19,0] = (v_R17_a_i**2 + v_R17_a_r**2)**0.5
struct[0].h[20,0] = (v_R17_b_i**2 + v_R17_b_r**2)**0.5
struct[0].h[21,0] = (v_R17_c_i**2 + v_R17_c_r**2)**0.5
struct[0].h[22,0] = (v_R17_n_i**2 + v_R17_n_r**2)**0.5
struct[0].h[23,0] = (v_R18_a_i**2 + v_R18_a_r**2)**0.5
struct[0].h[24,0] = (v_R18_b_i**2 + v_R18_b_r**2)**0.5
struct[0].h[25,0] = (v_R18_c_i**2 + v_R18_c_r**2)**0.5
struct[0].h[26,0] = (v_R18_n_i**2 + v_R18_n_r**2)**0.5
struct[0].h[27,0] = (v_R2_a_i**2 + v_R2_a_r**2)**0.5
struct[0].h[28,0] = (v_R2_b_i**2 + v_R2_b_r**2)**0.5
struct[0].h[29,0] = (v_R2_c_i**2 + v_R2_c_r**2)**0.5
struct[0].h[30,0] = (v_R2_n_i**2 + v_R2_n_r**2)**0.5
struct[0].h[31,0] = (v_R3_a_i**2 + v_R3_a_r**2)**0.5
struct[0].h[32,0] = (v_R3_b_i**2 + v_R3_b_r**2)**0.5
struct[0].h[33,0] = (v_R3_c_i**2 + v_R3_c_r**2)**0.5
struct[0].h[34,0] = (v_R3_n_i**2 + v_R3_n_r**2)**0.5
struct[0].h[35,0] = (v_R4_a_i**2 + v_R4_a_r**2)**0.5
struct[0].h[36,0] = (v_R4_b_i**2 + v_R4_b_r**2)**0.5
struct[0].h[37,0] = (v_R4_c_i**2 + v_R4_c_r**2)**0.5
struct[0].h[38,0] = (v_R4_n_i**2 + v_R4_n_r**2)**0.5
struct[0].h[39,0] = (v_R5_a_i**2 + v_R5_a_r**2)**0.5
struct[0].h[40,0] = (v_R5_b_i**2 + v_R5_b_r**2)**0.5
struct[0].h[41,0] = (v_R5_c_i**2 + v_R5_c_r**2)**0.5
struct[0].h[42,0] = (v_R5_n_i**2 + v_R5_n_r**2)**0.5
struct[0].h[43,0] = (v_R6_a_i**2 + v_R6_a_r**2)**0.5
struct[0].h[44,0] = (v_R6_b_i**2 + v_R6_b_r**2)**0.5
struct[0].h[45,0] = (v_R6_c_i**2 + v_R6_c_r**2)**0.5
struct[0].h[46,0] = (v_R6_n_i**2 + v_R6_n_r**2)**0.5
struct[0].h[47,0] = (v_R7_a_i**2 + v_R7_a_r**2)**0.5
struct[0].h[48,0] = (v_R7_b_i**2 + v_R7_b_r**2)**0.5
struct[0].h[49,0] = (v_R7_c_i**2 + v_R7_c_r**2)**0.5
struct[0].h[50,0] = (v_R7_n_i**2 + v_R7_n_r**2)**0.5
struct[0].h[51,0] = (v_R8_a_i**2 + v_R8_a_r**2)**0.5
struct[0].h[52,0] = (v_R8_b_i**2 + v_R8_b_r**2)**0.5
struct[0].h[53,0] = (v_R8_c_i**2 + v_R8_c_r**2)**0.5
struct[0].h[54,0] = (v_R8_n_i**2 + v_R8_n_r**2)**0.5
struct[0].h[55,0] = (v_R9_a_i**2 + v_R9_a_r**2)**0.5
struct[0].h[56,0] = (v_R9_b_i**2 + v_R9_b_r**2)**0.5
struct[0].h[57,0] = (v_R9_c_i**2 + v_R9_c_r**2)**0.5
struct[0].h[58,0] = (v_R9_n_i**2 + v_R9_n_r**2)**0.5
struct[0].h[59,0] = (v_R10_a_i**2 + v_R10_a_r**2)**0.5
struct[0].h[60,0] = (v_R10_b_i**2 + v_R10_b_r**2)**0.5
struct[0].h[61,0] = (v_R10_c_i**2 + v_R10_c_r**2)**0.5
struct[0].h[62,0] = (v_R10_n_i**2 + v_R10_n_r**2)**0.5
struct[0].h[63,0] = (v_R12_a_i**2 + v_R12_a_r**2)**0.5
struct[0].h[64,0] = (v_R12_b_i**2 + v_R12_b_r**2)**0.5
struct[0].h[65,0] = (v_R12_c_i**2 + v_R12_c_r**2)**0.5
struct[0].h[66,0] = (v_R12_n_i**2 + v_R12_n_r**2)**0.5
struct[0].h[67,0] = (v_R13_a_i**2 + v_R13_a_r**2)**0.5
struct[0].h[68,0] = (v_R13_b_i**2 + v_R13_b_r**2)**0.5
struct[0].h[69,0] = (v_R13_c_i**2 + v_R13_c_r**2)**0.5
struct[0].h[70,0] = (v_R13_n_i**2 + v_R13_n_r**2)**0.5
struct[0].h[71,0] = (v_R14_a_i**2 + v_R14_a_r**2)**0.5
struct[0].h[72,0] = (v_R14_b_i**2 + v_R14_b_r**2)**0.5
struct[0].h[73,0] = (v_R14_c_i**2 + v_R14_c_r**2)**0.5
struct[0].h[74,0] = (v_R14_n_i**2 + v_R14_n_r**2)**0.5
if mode == 10:
pass
if mode == 11:
struct[0].Gy[144,0] = i_R1_a_r
struct[0].Gy[144,1] = i_R1_a_i
struct[0].Gy[144,6] = -i_R1_a_r
struct[0].Gy[144,7] = -i_R1_a_i
struct[0].Gy[144,144] = v_R1_a_r - v_R1_n_r
struct[0].Gy[144,145] = v_R1_a_i - v_R1_n_i
struct[0].Gy[145,2] = i_R1_b_r
struct[0].Gy[145,3] = i_R1_b_i
struct[0].Gy[145,6] = -i_R1_b_r
struct[0].Gy[145,7] = -i_R1_b_i
struct[0].Gy[145,146] = v_R1_b_r - v_R1_n_r
struct[0].Gy[145,147] = v_R1_b_i - v_R1_n_i
struct[0].Gy[146,4] = i_R1_c_r
struct[0].Gy[146,5] = i_R1_c_i
struct[0].Gy[146,6] = -i_R1_c_r
struct[0].Gy[146,7] = -i_R1_c_i
struct[0].Gy[146,148] = v_R1_c_r - v_R1_n_r
struct[0].Gy[146,149] = v_R1_c_i - v_R1_n_i
struct[0].Gy[147,0] = -i_R1_a_i
struct[0].Gy[147,1] = i_R1_a_r
struct[0].Gy[147,6] = i_R1_a_i
struct[0].Gy[147,7] = -i_R1_a_r
struct[0].Gy[147,144] = v_R1_a_i - v_R1_n_i
struct[0].Gy[147,145] = -v_R1_a_r + v_R1_n_r
struct[0].Gy[148,2] = -i_R1_b_i
struct[0].Gy[148,3] = i_R1_b_r
struct[0].Gy[148,6] = i_R1_b_i
struct[0].Gy[148,7] = -i_R1_b_r
struct[0].Gy[148,146] = v_R1_b_i - v_R1_n_i
struct[0].Gy[148,147] = -v_R1_b_r + v_R1_n_r
struct[0].Gy[149,4] = -i_R1_c_i
struct[0].Gy[149,5] = i_R1_c_r
struct[0].Gy[149,6] = i_R1_c_i
struct[0].Gy[149,7] = -i_R1_c_r
struct[0].Gy[149,148] = v_R1_c_i - v_R1_n_i
struct[0].Gy[149,149] = -v_R1_c_r + v_R1_n_r
struct[0].Gy[152,8] = i_R11_a_r
struct[0].Gy[152,9] = i_R11_a_i
struct[0].Gy[152,14] = -i_R11_a_r
struct[0].Gy[152,15] = -i_R11_a_i
struct[0].Gy[152,152] = v_R11_a_r - v_R11_n_r
struct[0].Gy[152,153] = v_R11_a_i - v_R11_n_i
struct[0].Gy[153,10] = i_R11_b_r
struct[0].Gy[153,11] = i_R11_b_i
struct[0].Gy[153,14] = -i_R11_b_r
struct[0].Gy[153,15] = -i_R11_b_i
struct[0].Gy[153,154] = v_R11_b_r - v_R11_n_r
struct[0].Gy[153,155] = v_R11_b_i - v_R11_n_i
struct[0].Gy[154,12] = i_R11_c_r
struct[0].Gy[154,13] = i_R11_c_i
struct[0].Gy[154,14] = -i_R11_c_r
struct[0].Gy[154,15] = -i_R11_c_i
struct[0].Gy[154,156] = v_R11_c_r - v_R11_n_r
struct[0].Gy[154,157] = v_R11_c_i - v_R11_n_i
struct[0].Gy[155,8] = -i_R11_a_i
struct[0].Gy[155,9] = i_R11_a_r
struct[0].Gy[155,14] = i_R11_a_i
struct[0].Gy[155,15] = -i_R11_a_r
struct[0].Gy[155,152] = v_R11_a_i - v_R11_n_i
struct[0].Gy[155,153] = -v_R11_a_r + v_R11_n_r
struct[0].Gy[156,10] = -i_R11_b_i
struct[0].Gy[156,11] = i_R11_b_r
struct[0].Gy[156,14] = i_R11_b_i
struct[0].Gy[156,15] = -i_R11_b_r
struct[0].Gy[156,154] = v_R11_b_i - v_R11_n_i
struct[0].Gy[156,155] = -v_R11_b_r + v_R11_n_r
struct[0].Gy[157,12] = -i_R11_c_i
struct[0].Gy[157,13] = i_R11_c_r
struct[0].Gy[157,14] = i_R11_c_i
struct[0].Gy[157,15] = -i_R11_c_r
struct[0].Gy[157,156] = v_R11_c_i - v_R11_n_i
struct[0].Gy[157,157] = -v_R11_c_r + v_R11_n_r
struct[0].Gy[160,16] = i_R15_a_r
struct[0].Gy[160,17] = i_R15_a_i
struct[0].Gy[160,22] = -i_R15_a_r
struct[0].Gy[160,23] = -i_R15_a_i
struct[0].Gy[160,160] = v_R15_a_r - v_R15_n_r
struct[0].Gy[160,161] = v_R15_a_i - v_R15_n_i
struct[0].Gy[161,18] = i_R15_b_r
struct[0].Gy[161,19] = i_R15_b_i
struct[0].Gy[161,22] = -i_R15_b_r
struct[0].Gy[161,23] = -i_R15_b_i
struct[0].Gy[161,162] = v_R15_b_r - v_R15_n_r
struct[0].Gy[161,163] = v_R15_b_i - v_R15_n_i
struct[0].Gy[162,20] = i_R15_c_r
struct[0].Gy[162,21] = i_R15_c_i
struct[0].Gy[162,22] = -i_R15_c_r
struct[0].Gy[162,23] = -i_R15_c_i
struct[0].Gy[162,164] = v_R15_c_r - v_R15_n_r
struct[0].Gy[162,165] = v_R15_c_i - v_R15_n_i
struct[0].Gy[163,16] = -i_R15_a_i
struct[0].Gy[163,17] = i_R15_a_r
struct[0].Gy[163,22] = i_R15_a_i
struct[0].Gy[163,23] = -i_R15_a_r
struct[0].Gy[163,160] = v_R15_a_i - v_R15_n_i
struct[0].Gy[163,161] = -v_R15_a_r + v_R15_n_r
struct[0].Gy[164,18] = -i_R15_b_i
struct[0].Gy[164,19] = i_R15_b_r
struct[0].Gy[164,22] = i_R15_b_i
struct[0].Gy[164,23] = -i_R15_b_r
struct[0].Gy[164,162] = v_R15_b_i - v_R15_n_i
struct[0].Gy[164,163] = -v_R15_b_r + v_R15_n_r
struct[0].Gy[165,20] = -i_R15_c_i
struct[0].Gy[165,21] = i_R15_c_r
struct[0].Gy[165,22] = i_R15_c_i
struct[0].Gy[165,23] = -i_R15_c_r
struct[0].Gy[165,164] = v_R15_c_i - v_R15_n_i
struct[0].Gy[165,165] = -v_R15_c_r + v_R15_n_r
struct[0].Gy[168,24] = i_R16_a_r
struct[0].Gy[168,25] = i_R16_a_i
struct[0].Gy[168,30] = -i_R16_a_r
struct[0].Gy[168,31] = -i_R16_a_i
struct[0].Gy[168,168] = v_R16_a_r - v_R16_n_r
struct[0].Gy[168,169] = v_R16_a_i - v_R16_n_i
struct[0].Gy[169,26] = i_R16_b_r
struct[0].Gy[169,27] = i_R16_b_i
struct[0].Gy[169,30] = -i_R16_b_r
struct[0].Gy[169,31] = -i_R16_b_i
struct[0].Gy[169,170] = v_R16_b_r - v_R16_n_r
struct[0].Gy[169,171] = v_R16_b_i - v_R16_n_i
struct[0].Gy[170,28] = i_R16_c_r
struct[0].Gy[170,29] = i_R16_c_i
struct[0].Gy[170,30] = -i_R16_c_r
struct[0].Gy[170,31] = -i_R16_c_i
struct[0].Gy[170,172] = v_R16_c_r - v_R16_n_r
struct[0].Gy[170,173] = v_R16_c_i - v_R16_n_i
struct[0].Gy[171,24] = -i_R16_a_i
struct[0].Gy[171,25] = i_R16_a_r
struct[0].Gy[171,30] = i_R16_a_i
struct[0].Gy[171,31] = -i_R16_a_r
struct[0].Gy[171,168] = v_R16_a_i - v_R16_n_i
struct[0].Gy[171,169] = -v_R16_a_r + v_R16_n_r
struct[0].Gy[172,26] = -i_R16_b_i
struct[0].Gy[172,27] = i_R16_b_r
struct[0].Gy[172,30] = i_R16_b_i
struct[0].Gy[172,31] = -i_R16_b_r
struct[0].Gy[172,170] = v_R16_b_i - v_R16_n_i
struct[0].Gy[172,171] = -v_R16_b_r + v_R16_n_r
struct[0].Gy[173,28] = -i_R16_c_i
struct[0].Gy[173,29] = i_R16_c_r
struct[0].Gy[173,30] = i_R16_c_i
struct[0].Gy[173,31] = -i_R16_c_r
struct[0].Gy[173,172] = v_R16_c_i - v_R16_n_i
struct[0].Gy[173,173] = -v_R16_c_r + v_R16_n_r
struct[0].Gy[176,32] = i_R17_a_r
struct[0].Gy[176,33] = i_R17_a_i
struct[0].Gy[176,38] = -i_R17_a_r
struct[0].Gy[176,39] = -i_R17_a_i
struct[0].Gy[176,176] = v_R17_a_r - v_R17_n_r
struct[0].Gy[176,177] = v_R17_a_i - v_R17_n_i
struct[0].Gy[177,34] = i_R17_b_r
struct[0].Gy[177,35] = i_R17_b_i
struct[0].Gy[177,38] = -i_R17_b_r
struct[0].Gy[177,39] = -i_R17_b_i
struct[0].Gy[177,178] = v_R17_b_r - v_R17_n_r
struct[0].Gy[177,179] = v_R17_b_i - v_R17_n_i
struct[0].Gy[178,36] = i_R17_c_r
struct[0].Gy[178,37] = i_R17_c_i
struct[0].Gy[178,38] = -i_R17_c_r
struct[0].Gy[178,39] = -i_R17_c_i
struct[0].Gy[178,180] = v_R17_c_r - v_R17_n_r
struct[0].Gy[178,181] = v_R17_c_i - v_R17_n_i
struct[0].Gy[179,32] = -i_R17_a_i
struct[0].Gy[179,33] = i_R17_a_r
struct[0].Gy[179,38] = i_R17_a_i
struct[0].Gy[179,39] = -i_R17_a_r
struct[0].Gy[179,176] = v_R17_a_i - v_R17_n_i
struct[0].Gy[179,177] = -v_R17_a_r + v_R17_n_r
struct[0].Gy[180,34] = -i_R17_b_i
struct[0].Gy[180,35] = i_R17_b_r
struct[0].Gy[180,38] = i_R17_b_i
struct[0].Gy[180,39] = -i_R17_b_r
struct[0].Gy[180,178] = v_R17_b_i - v_R17_n_i
struct[0].Gy[180,179] = -v_R17_b_r + v_R17_n_r
struct[0].Gy[181,36] = -i_R17_c_i
struct[0].Gy[181,37] = i_R17_c_r
struct[0].Gy[181,38] = i_R17_c_i
struct[0].Gy[181,39] = -i_R17_c_r
struct[0].Gy[181,180] = v_R17_c_i - v_R17_n_i
struct[0].Gy[181,181] = -v_R17_c_r + v_R17_n_r
struct[0].Gy[184,40] = i_R18_a_r
struct[0].Gy[184,41] = i_R18_a_i
struct[0].Gy[184,46] = -i_R18_a_r
struct[0].Gy[184,47] = -i_R18_a_i
struct[0].Gy[184,184] = v_R18_a_r - v_R18_n_r
struct[0].Gy[184,185] = v_R18_a_i - v_R18_n_i
struct[0].Gy[185,42] = i_R18_b_r
struct[0].Gy[185,43] = i_R18_b_i
struct[0].Gy[185,46] = -i_R18_b_r
struct[0].Gy[185,47] = -i_R18_b_i
struct[0].Gy[185,186] = v_R18_b_r - v_R18_n_r
struct[0].Gy[185,187] = v_R18_b_i - v_R18_n_i
struct[0].Gy[186,44] = i_R18_c_r
struct[0].Gy[186,45] = i_R18_c_i
struct[0].Gy[186,46] = -i_R18_c_r
struct[0].Gy[186,47] = -i_R18_c_i
struct[0].Gy[186,188] = v_R18_c_r - v_R18_n_r
struct[0].Gy[186,189] = v_R18_c_i - v_R18_n_i
struct[0].Gy[187,40] = -i_R18_a_i
struct[0].Gy[187,41] = i_R18_a_r
struct[0].Gy[187,46] = i_R18_a_i
struct[0].Gy[187,47] = -i_R18_a_r
struct[0].Gy[187,184] = v_R18_a_i - v_R18_n_i
struct[0].Gy[187,185] = -v_R18_a_r + v_R18_n_r
struct[0].Gy[188,42] = -i_R18_b_i
struct[0].Gy[188,43] = i_R18_b_r
struct[0].Gy[188,46] = i_R18_b_i
struct[0].Gy[188,47] = -i_R18_b_r
struct[0].Gy[188,186] = v_R18_b_i - v_R18_n_i
struct[0].Gy[188,187] = -v_R18_b_r + v_R18_n_r
struct[0].Gy[189,44] = -i_R18_c_i
struct[0].Gy[189,45] = i_R18_c_r
struct[0].Gy[189,46] = i_R18_c_i
struct[0].Gy[189,47] = -i_R18_c_r
struct[0].Gy[189,188] = v_R18_c_i - v_R18_n_i
struct[0].Gy[189,189] = -v_R18_c_r + v_R18_n_r
if mode > 12:
struct[0].Hy[3,0] = 1.0*v_R1_a_r*(v_R1_a_i**2 + v_R1_a_r**2)**(-0.5)
struct[0].Hy[3,1] = 1.0*v_R1_a_i*(v_R1_a_i**2 + v_R1_a_r**2)**(-0.5)
struct[0].Hy[4,2] = 1.0*v_R1_b_r*(v_R1_b_i**2 + v_R1_b_r**2)**(-0.5)
struct[0].Hy[4,3] = 1.0*v_R1_b_i*(v_R1_b_i**2 + v_R1_b_r**2)**(-0.5)
struct[0].Hy[5,4] = 1.0*v_R1_c_r*(v_R1_c_i**2 + v_R1_c_r**2)**(-0.5)
struct[0].Hy[5,5] = 1.0*v_R1_c_i*(v_R1_c_i**2 + v_R1_c_r**2)**(-0.5)
struct[0].Hy[6,6] = 1.0*v_R1_n_r*(v_R1_n_i**2 + v_R1_n_r**2)**(-0.5)
struct[0].Hy[6,7] = 1.0*v_R1_n_i*(v_R1_n_i**2 + v_R1_n_r**2)**(-0.5)
struct[0].Hy[7,8] = 1.0*v_R11_a_r*(v_R11_a_i**2 + v_R11_a_r**2)**(-0.5)
struct[0].Hy[7,9] = 1.0*v_R11_a_i*(v_R11_a_i**2 + v_R11_a_r**2)**(-0.5)
struct[0].Hy[8,10] = 1.0*v_R11_b_r*(v_R11_b_i**2 + v_R11_b_r**2)**(-0.5)
struct[0].Hy[8,11] = 1.0*v_R11_b_i*(v_R11_b_i**2 + v_R11_b_r**2)**(-0.5)
struct[0].Hy[9,12] = 1.0*v_R11_c_r*(v_R11_c_i**2 + v_R11_c_r**2)**(-0.5)
struct[0].Hy[9,13] = 1.0*v_R11_c_i*(v_R11_c_i**2 + v_R11_c_r**2)**(-0.5)
struct[0].Hy[10,14] = 1.0*v_R11_n_r*(v_R11_n_i**2 + v_R11_n_r**2)**(-0.5)
struct[0].Hy[10,15] = 1.0*v_R11_n_i*(v_R11_n_i**2 + v_R11_n_r**2)**(-0.5)
struct[0].Hy[11,16] = 1.0*v_R15_a_r*(v_R15_a_i**2 + v_R15_a_r**2)**(-0.5)
struct[0].Hy[11,17] = 1.0*v_R15_a_i*(v_R15_a_i**2 + v_R15_a_r**2)**(-0.5)
struct[0].Hy[12,18] = 1.0*v_R15_b_r*(v_R15_b_i**2 + v_R15_b_r**2)**(-0.5)
struct[0].Hy[12,19] = 1.0*v_R15_b_i*(v_R15_b_i**2 + v_R15_b_r**2)**(-0.5)
struct[0].Hy[13,20] = 1.0*v_R15_c_r*(v_R15_c_i**2 + v_R15_c_r**2)**(-0.5)
struct[0].Hy[13,21] = 1.0*v_R15_c_i*(v_R15_c_i**2 + v_R15_c_r**2)**(-0.5)
struct[0].Hy[14,22] = 1.0*v_R15_n_r*(v_R15_n_i**2 + v_R15_n_r**2)**(-0.5)
struct[0].Hy[14,23] = 1.0*v_R15_n_i*(v_R15_n_i**2 + v_R15_n_r**2)**(-0.5)
struct[0].Hy[15,24] = 1.0*v_R16_a_r*(v_R16_a_i**2 + v_R16_a_r**2)**(-0.5)
struct[0].Hy[15,25] = 1.0*v_R16_a_i*(v_R16_a_i**2 + v_R16_a_r**2)**(-0.5)
struct[0].Hy[16,26] = 1.0*v_R16_b_r*(v_R16_b_i**2 + v_R16_b_r**2)**(-0.5)
struct[0].Hy[16,27] = 1.0*v_R16_b_i*(v_R16_b_i**2 + v_R16_b_r**2)**(-0.5)
struct[0].Hy[17,28] = 1.0*v_R16_c_r*(v_R16_c_i**2 + v_R16_c_r**2)**(-0.5)
struct[0].Hy[17,29] = 1.0*v_R16_c_i*(v_R16_c_i**2 + v_R16_c_r**2)**(-0.5)
struct[0].Hy[18,30] = 1.0*v_R16_n_r*(v_R16_n_i**2 + v_R16_n_r**2)**(-0.5)
struct[0].Hy[18,31] = 1.0*v_R16_n_i*(v_R16_n_i**2 + v_R16_n_r**2)**(-0.5)
struct[0].Hy[19,32] = 1.0*v_R17_a_r*(v_R17_a_i**2 + v_R17_a_r**2)**(-0.5)
struct[0].Hy[19,33] = 1.0*v_R17_a_i*(v_R17_a_i**2 + v_R17_a_r**2)**(-0.5)
struct[0].Hy[20,34] = 1.0*v_R17_b_r*(v_R17_b_i**2 + v_R17_b_r**2)**(-0.5)
struct[0].Hy[20,35] = 1.0*v_R17_b_i*(v_R17_b_i**2 + v_R17_b_r**2)**(-0.5)
struct[0].Hy[21,36] = 1.0*v_R17_c_r*(v_R17_c_i**2 + v_R17_c_r**2)**(-0.5)
struct[0].Hy[21,37] = 1.0*v_R17_c_i*(v_R17_c_i**2 + v_R17_c_r**2)**(-0.5)
struct[0].Hy[22,38] = 1.0*v_R17_n_r*(v_R17_n_i**2 + v_R17_n_r**2)**(-0.5)
struct[0].Hy[22,39] = 1.0*v_R17_n_i*(v_R17_n_i**2 + v_R17_n_r**2)**(-0.5)
struct[0].Hy[23,40] = 1.0*v_R18_a_r*(v_R18_a_i**2 + v_R18_a_r**2)**(-0.5)
struct[0].Hy[23,41] = 1.0*v_R18_a_i*(v_R18_a_i**2 + v_R18_a_r**2)**(-0.5)
struct[0].Hy[24,42] = 1.0*v_R18_b_r*(v_R18_b_i**2 + v_R18_b_r**2)**(-0.5)
struct[0].Hy[24,43] = 1.0*v_R18_b_i*(v_R18_b_i**2 + v_R18_b_r**2)**(-0.5)
struct[0].Hy[25,44] = 1.0*v_R18_c_r*(v_R18_c_i**2 + v_R18_c_r**2)**(-0.5)
struct[0].Hy[25,45] = 1.0*v_R18_c_i*(v_R18_c_i**2 + v_R18_c_r**2)**(-0.5)
struct[0].Hy[26,46] = 1.0*v_R18_n_r*(v_R18_n_i**2 + v_R18_n_r**2)**(-0.5)
struct[0].Hy[26,47] = 1.0*v_R18_n_i*(v_R18_n_i**2 + v_R18_n_r**2)**(-0.5)
struct[0].Hy[27,48] = 1.0*v_R2_a_r*(v_R2_a_i**2 + v_R2_a_r**2)**(-0.5)
struct[0].Hy[27,49] = 1.0*v_R2_a_i*(v_R2_a_i**2 + v_R2_a_r**2)**(-0.5)
struct[0].Hy[28,50] = 1.0*v_R2_b_r*(v_R2_b_i**2 + v_R2_b_r**2)**(-0.5)
struct[0].Hy[28,51] = 1.0*v_R2_b_i*(v_R2_b_i**2 + v_R2_b_r**2)**(-0.5)
struct[0].Hy[29,52] = 1.0*v_R2_c_r*(v_R2_c_i**2 + v_R2_c_r**2)**(-0.5)
struct[0].Hy[29,53] = 1.0*v_R2_c_i*(v_R2_c_i**2 + v_R2_c_r**2)**(-0.5)
struct[0].Hy[30,54] = 1.0*v_R2_n_r*(v_R2_n_i**2 + v_R2_n_r**2)**(-0.5)
struct[0].Hy[30,55] = 1.0*v_R2_n_i*(v_R2_n_i**2 + v_R2_n_r**2)**(-0.5)
struct[0].Hy[31,56] = 1.0*v_R3_a_r*(v_R3_a_i**2 + v_R3_a_r**2)**(-0.5)
struct[0].Hy[31,57] = 1.0*v_R3_a_i*(v_R3_a_i**2 + v_R3_a_r**2)**(-0.5)
struct[0].Hy[32,58] = 1.0*v_R3_b_r*(v_R3_b_i**2 + v_R3_b_r**2)**(-0.5)
struct[0].Hy[32,59] = 1.0*v_R3_b_i*(v_R3_b_i**2 + v_R3_b_r**2)**(-0.5)
struct[0].Hy[33,60] = 1.0*v_R3_c_r*(v_R3_c_i**2 + v_R3_c_r**2)**(-0.5)
struct[0].Hy[33,61] = 1.0*v_R3_c_i*(v_R3_c_i**2 + v_R3_c_r**2)**(-0.5)
struct[0].Hy[34,62] = 1.0*v_R3_n_r*(v_R3_n_i**2 + v_R3_n_r**2)**(-0.5)
struct[0].Hy[34,63] = 1.0*v_R3_n_i*(v_R3_n_i**2 + v_R3_n_r**2)**(-0.5)
struct[0].Hy[35,64] = 1.0*v_R4_a_r*(v_R4_a_i**2 + v_R4_a_r**2)**(-0.5)
struct[0].Hy[35,65] = 1.0*v_R4_a_i*(v_R4_a_i**2 + v_R4_a_r**2)**(-0.5)
struct[0].Hy[36,66] = 1.0*v_R4_b_r*(v_R4_b_i**2 + v_R4_b_r**2)**(-0.5)
struct[0].Hy[36,67] = 1.0*v_R4_b_i*(v_R4_b_i**2 + v_R4_b_r**2)**(-0.5)
struct[0].Hy[37,68] = 1.0*v_R4_c_r*(v_R4_c_i**2 + v_R4_c_r**2)**(-0.5)
struct[0].Hy[37,69] = 1.0*v_R4_c_i*(v_R4_c_i**2 + v_R4_c_r**2)**(-0.5)
struct[0].Hy[38,70] = 1.0*v_R4_n_r*(v_R4_n_i**2 + v_R4_n_r**2)**(-0.5)
struct[0].Hy[38,71] = 1.0*v_R4_n_i*(v_R4_n_i**2 + v_R4_n_r**2)**(-0.5)
struct[0].Hy[39,72] = 1.0*v_R5_a_r*(v_R5_a_i**2 + v_R5_a_r**2)**(-0.5)
struct[0].Hy[39,73] = 1.0*v_R5_a_i*(v_R5_a_i**2 + v_R5_a_r**2)**(-0.5)
struct[0].Hy[40,74] = 1.0*v_R5_b_r*(v_R5_b_i**2 + v_R5_b_r**2)**(-0.5)
struct[0].Hy[40,75] = 1.0*v_R5_b_i*(v_R5_b_i**2 + v_R5_b_r**2)**(-0.5)
struct[0].Hy[41,76] = 1.0*v_R5_c_r*(v_R5_c_i**2 + v_R5_c_r**2)**(-0.5)
struct[0].Hy[41,77] = 1.0*v_R5_c_i*(v_R5_c_i**2 + v_R5_c_r**2)**(-0.5)
struct[0].Hy[42,78] = 1.0*v_R5_n_r*(v_R5_n_i**2 + v_R5_n_r**2)**(-0.5)
struct[0].Hy[42,79] = 1.0*v_R5_n_i*(v_R5_n_i**2 + v_R5_n_r**2)**(-0.5)
struct[0].Hy[43,80] = 1.0*v_R6_a_r*(v_R6_a_i**2 + v_R6_a_r**2)**(-0.5)
struct[0].Hy[43,81] = 1.0*v_R6_a_i*(v_R6_a_i**2 + v_R6_a_r**2)**(-0.5)
struct[0].Hy[44,82] = 1.0*v_R6_b_r*(v_R6_b_i**2 + v_R6_b_r**2)**(-0.5)
struct[0].Hy[44,83] = 1.0*v_R6_b_i*(v_R6_b_i**2 + v_R6_b_r**2)**(-0.5)
struct[0].Hy[45,84] = 1.0*v_R6_c_r*(v_R6_c_i**2 + v_R6_c_r**2)**(-0.5)
struct[0].Hy[45,85] = 1.0*v_R6_c_i*(v_R6_c_i**2 + v_R6_c_r**2)**(-0.5)
struct[0].Hy[46,86] = 1.0*v_R6_n_r*(v_R6_n_i**2 + v_R6_n_r**2)**(-0.5)
struct[0].Hy[46,87] = 1.0*v_R6_n_i*(v_R6_n_i**2 + v_R6_n_r**2)**(-0.5)
struct[0].Hy[47,88] = 1.0*v_R7_a_r*(v_R7_a_i**2 + v_R7_a_r**2)**(-0.5)
struct[0].Hy[47,89] = 1.0*v_R7_a_i*(v_R7_a_i**2 + v_R7_a_r**2)**(-0.5)
struct[0].Hy[48,90] = 1.0*v_R7_b_r*(v_R7_b_i**2 + v_R7_b_r**2)**(-0.5)
struct[0].Hy[48,91] = 1.0*v_R7_b_i*(v_R7_b_i**2 + v_R7_b_r**2)**(-0.5)
struct[0].Hy[49,92] = 1.0*v_R7_c_r*(v_R7_c_i**2 + v_R7_c_r**2)**(-0.5)
struct[0].Hy[49,93] = 1.0*v_R7_c_i*(v_R7_c_i**2 + v_R7_c_r**2)**(-0.5)
struct[0].Hy[50,94] = 1.0*v_R7_n_r*(v_R7_n_i**2 + v_R7_n_r**2)**(-0.5)
struct[0].Hy[50,95] = 1.0*v_R7_n_i*(v_R7_n_i**2 + v_R7_n_r**2)**(-0.5)
struct[0].Hy[51,96] = 1.0*v_R8_a_r*(v_R8_a_i**2 + v_R8_a_r**2)**(-0.5)
struct[0].Hy[51,97] = 1.0*v_R8_a_i*(v_R8_a_i**2 + v_R8_a_r**2)**(-0.5)
struct[0].Hy[52,98] = 1.0*v_R8_b_r*(v_R8_b_i**2 + v_R8_b_r**2)**(-0.5)
struct[0].Hy[52,99] = 1.0*v_R8_b_i*(v_R8_b_i**2 + v_R8_b_r**2)**(-0.5)
struct[0].Hy[53,100] = 1.0*v_R8_c_r*(v_R8_c_i**2 + v_R8_c_r**2)**(-0.5)
struct[0].Hy[53,101] = 1.0*v_R8_c_i*(v_R8_c_i**2 + v_R8_c_r**2)**(-0.5)
struct[0].Hy[54,102] = 1.0*v_R8_n_r*(v_R8_n_i**2 + v_R8_n_r**2)**(-0.5)
struct[0].Hy[54,103] = 1.0*v_R8_n_i*(v_R8_n_i**2 + v_R8_n_r**2)**(-0.5)
struct[0].Hy[55,104] = 1.0*v_R9_a_r*(v_R9_a_i**2 + v_R9_a_r**2)**(-0.5)
struct[0].Hy[55,105] = 1.0*v_R9_a_i*(v_R9_a_i**2 + v_R9_a_r**2)**(-0.5)
struct[0].Hy[56,106] = 1.0*v_R9_b_r*(v_R9_b_i**2 + v_R9_b_r**2)**(-0.5)
struct[0].Hy[56,107] = 1.0*v_R9_b_i*(v_R9_b_i**2 + v_R9_b_r**2)**(-0.5)
struct[0].Hy[57,108] = 1.0*v_R9_c_r*(v_R9_c_i**2 + v_R9_c_r**2)**(-0.5)
struct[0].Hy[57,109] = 1.0*v_R9_c_i*(v_R9_c_i**2 + v_R9_c_r**2)**(-0.5)
struct[0].Hy[58,110] = 1.0*v_R9_n_r*(v_R9_n_i**2 + v_R9_n_r**2)**(-0.5)
struct[0].Hy[58,111] = 1.0*v_R9_n_i*(v_R9_n_i**2 + v_R9_n_r**2)**(-0.5)
struct[0].Hy[59,112] = 1.0*v_R10_a_r*(v_R10_a_i**2 + v_R10_a_r**2)**(-0.5)
struct[0].Hy[59,113] = 1.0*v_R10_a_i*(v_R10_a_i**2 + v_R10_a_r**2)**(-0.5)
struct[0].Hy[60,114] = 1.0*v_R10_b_r*(v_R10_b_i**2 + v_R10_b_r**2)**(-0.5)
struct[0].Hy[60,115] = 1.0*v_R10_b_i*(v_R10_b_i**2 + v_R10_b_r**2)**(-0.5)
struct[0].Hy[61,116] = 1.0*v_R10_c_r*(v_R10_c_i**2 + v_R10_c_r**2)**(-0.5)
struct[0].Hy[61,117] = 1.0*v_R10_c_i*(v_R10_c_i**2 + v_R10_c_r**2)**(-0.5)
struct[0].Hy[62,118] = 1.0*v_R10_n_r*(v_R10_n_i**2 + v_R10_n_r**2)**(-0.5)
struct[0].Hy[62,119] = 1.0*v_R10_n_i*(v_R10_n_i**2 + v_R10_n_r**2)**(-0.5)
struct[0].Hy[63,120] = 1.0*v_R12_a_r*(v_R12_a_i**2 + v_R12_a_r**2)**(-0.5)
struct[0].Hy[63,121] = 1.0*v_R12_a_i*(v_R12_a_i**2 + v_R12_a_r**2)**(-0.5)
struct[0].Hy[64,122] = 1.0*v_R12_b_r*(v_R12_b_i**2 + v_R12_b_r**2)**(-0.5)
struct[0].Hy[64,123] = 1.0*v_R12_b_i*(v_R12_b_i**2 + v_R12_b_r**2)**(-0.5)
struct[0].Hy[65,124] = 1.0*v_R12_c_r*(v_R12_c_i**2 + v_R12_c_r**2)**(-0.5)
struct[0].Hy[65,125] = 1.0*v_R12_c_i*(v_R12_c_i**2 + v_R12_c_r**2)**(-0.5)
struct[0].Hy[66,126] = 1.0*v_R12_n_r*(v_R12_n_i**2 + v_R12_n_r**2)**(-0.5)
struct[0].Hy[66,127] = 1.0*v_R12_n_i*(v_R12_n_i**2 + v_R12_n_r**2)**(-0.5)
struct[0].Hy[67,128] = 1.0*v_R13_a_r*(v_R13_a_i**2 + v_R13_a_r**2)**(-0.5)
struct[0].Hy[67,129] = 1.0*v_R13_a_i*(v_R13_a_i**2 + v_R13_a_r**2)**(-0.5)
struct[0].Hy[68,130] = 1.0*v_R13_b_r*(v_R13_b_i**2 + v_R13_b_r**2)**(-0.5)
struct[0].Hy[68,131] = 1.0*v_R13_b_i*(v_R13_b_i**2 + v_R13_b_r**2)**(-0.5)
struct[0].Hy[69,132] = 1.0*v_R13_c_r*(v_R13_c_i**2 + v_R13_c_r**2)**(-0.5)
struct[0].Hy[69,133] = 1.0*v_R13_c_i*(v_R13_c_i**2 + v_R13_c_r**2)**(-0.5)
struct[0].Hy[70,134] = 1.0*v_R13_n_r*(v_R13_n_i**2 + v_R13_n_r**2)**(-0.5)
struct[0].Hy[70,135] = 1.0*v_R13_n_i*(v_R13_n_i**2 + v_R13_n_r**2)**(-0.5)
struct[0].Hy[71,136] = 1.0*v_R14_a_r*(v_R14_a_i**2 + v_R14_a_r**2)**(-0.5)
struct[0].Hy[71,137] = 1.0*v_R14_a_i*(v_R14_a_i**2 + v_R14_a_r**2)**(-0.5)
struct[0].Hy[72,138] = 1.0*v_R14_b_r*(v_R14_b_i**2 + v_R14_b_r**2)**(-0.5)
struct[0].Hy[72,139] = 1.0*v_R14_b_i*(v_R14_b_i**2 + v_R14_b_r**2)**(-0.5)
struct[0].Hy[73,140] = 1.0*v_R14_c_r*(v_R14_c_i**2 + v_R14_c_r**2)**(-0.5)
struct[0].Hy[73,141] = 1.0*v_R14_c_i*(v_R14_c_i**2 + v_R14_c_r**2)**(-0.5)
struct[0].Hy[74,142] = 1.0*v_R14_n_r*(v_R14_n_i**2 + v_R14_n_r**2)**(-0.5)
struct[0].Hy[74,143] = 1.0*v_R14_n_i*(v_R14_n_i**2 + v_R14_n_r**2)**(-0.5)
struct[0].Hu[0,0] = 1.0*v_R0_a_r*(v_R0_a_i**2 + v_R0_a_r**2)**(-0.5)
struct[0].Hu[0,1] = 1.0*v_R0_a_i*(v_R0_a_i**2 + v_R0_a_r**2)**(-0.5)
struct[0].Hu[1,2] = 1.0*v_R0_b_r*(v_R0_b_i**2 + v_R0_b_r**2)**(-0.5)
struct[0].Hu[1,3] = 1.0*v_R0_b_i*(v_R0_b_i**2 + v_R0_b_r**2)**(-0.5)
struct[0].Hu[2,4] = 1.0*v_R0_c_r*(v_R0_c_i**2 + v_R0_c_r**2)**(-0.5)
struct[0].Hu[2,5] = 1.0*v_R0_c_i*(v_R0_c_i**2 + v_R0_c_r**2)**(-0.5)
def ini_nn(struct,mode):
# Parameters:
# Inputs:
v_R0_a_r = struct[0].v_R0_a_r
v_R0_a_i = struct[0].v_R0_a_i
v_R0_b_r = struct[0].v_R0_b_r
v_R0_b_i = struct[0].v_R0_b_i
v_R0_c_r = struct[0].v_R0_c_r
v_R0_c_i = struct[0].v_R0_c_i
i_R1_n_r = struct[0].i_R1_n_r
i_R1_n_i = struct[0].i_R1_n_i
i_R11_n_r = struct[0].i_R11_n_r
i_R11_n_i = struct[0].i_R11_n_i
i_R15_n_r = struct[0].i_R15_n_r
i_R15_n_i = struct[0].i_R15_n_i
i_R16_n_r = struct[0].i_R16_n_r
i_R16_n_i = struct[0].i_R16_n_i
i_R17_n_r = struct[0].i_R17_n_r
i_R17_n_i = struct[0].i_R17_n_i
i_R18_n_r = struct[0].i_R18_n_r
i_R18_n_i = struct[0].i_R18_n_i
i_R2_a_r = struct[0].i_R2_a_r
i_R2_a_i = struct[0].i_R2_a_i
i_R2_b_r = struct[0].i_R2_b_r
i_R2_b_i = struct[0].i_R2_b_i
i_R2_c_r = struct[0].i_R2_c_r
i_R2_c_i = struct[0].i_R2_c_i
i_R2_n_r = struct[0].i_R2_n_r
i_R2_n_i = struct[0].i_R2_n_i
i_R3_a_r = struct[0].i_R3_a_r
i_R3_a_i = struct[0].i_R3_a_i
i_R3_b_r = struct[0].i_R3_b_r
i_R3_b_i = struct[0].i_R3_b_i
i_R3_c_r = struct[0].i_R3_c_r
i_R3_c_i = struct[0].i_R3_c_i
i_R3_n_r = struct[0].i_R3_n_r
i_R3_n_i = struct[0].i_R3_n_i
i_R4_a_r = struct[0].i_R4_a_r
i_R4_a_i = struct[0].i_R4_a_i
i_R4_b_r = struct[0].i_R4_b_r
i_R4_b_i = struct[0].i_R4_b_i
i_R4_c_r = struct[0].i_R4_c_r
i_R4_c_i = struct[0].i_R4_c_i
i_R4_n_r = struct[0].i_R4_n_r
i_R4_n_i = struct[0].i_R4_n_i
i_R5_a_r = struct[0].i_R5_a_r
i_R5_a_i = struct[0].i_R5_a_i
i_R5_b_r = struct[0].i_R5_b_r
i_R5_b_i = struct[0].i_R5_b_i
i_R5_c_r = struct[0].i_R5_c_r
i_R5_c_i = struct[0].i_R5_c_i
i_R5_n_r = struct[0].i_R5_n_r
i_R5_n_i = struct[0].i_R5_n_i
i_R6_a_r = struct[0].i_R6_a_r
i_R6_a_i = struct[0].i_R6_a_i
i_R6_b_r = struct[0].i_R6_b_r
i_R6_b_i = struct[0].i_R6_b_i
i_R6_c_r = struct[0].i_R6_c_r
i_R6_c_i = struct[0].i_R6_c_i
i_R6_n_r = struct[0].i_R6_n_r
i_R6_n_i = struct[0].i_R6_n_i
i_R7_a_r = struct[0].i_R7_a_r
i_R7_a_i = struct[0].i_R7_a_i
i_R7_b_r = struct[0].i_R7_b_r
i_R7_b_i = struct[0].i_R7_b_i
i_R7_c_r = struct[0].i_R7_c_r
i_R7_c_i = struct[0].i_R7_c_i
i_R7_n_r = struct[0].i_R7_n_r
i_R7_n_i = struct[0].i_R7_n_i
i_R8_a_r = struct[0].i_R8_a_r
i_R8_a_i = struct[0].i_R8_a_i
i_R8_b_r = struct[0].i_R8_b_r
i_R8_b_i = struct[0].i_R8_b_i
i_R8_c_r = struct[0].i_R8_c_r
i_R8_c_i = struct[0].i_R8_c_i
i_R8_n_r = struct[0].i_R8_n_r
i_R8_n_i = struct[0].i_R8_n_i
i_R9_a_r = struct[0].i_R9_a_r
i_R9_a_i = struct[0].i_R9_a_i
i_R9_b_r = struct[0].i_R9_b_r
i_R9_b_i = struct[0].i_R9_b_i
i_R9_c_r = struct[0].i_R9_c_r
i_R9_c_i = struct[0].i_R9_c_i
i_R9_n_r = struct[0].i_R9_n_r
i_R9_n_i = struct[0].i_R9_n_i
i_R10_a_r = struct[0].i_R10_a_r
i_R10_a_i = struct[0].i_R10_a_i
i_R10_b_r = struct[0].i_R10_b_r
i_R10_b_i = struct[0].i_R10_b_i
i_R10_c_r = struct[0].i_R10_c_r
i_R10_c_i = struct[0].i_R10_c_i
i_R10_n_r = struct[0].i_R10_n_r
i_R10_n_i = struct[0].i_R10_n_i
i_R12_a_r = struct[0].i_R12_a_r
i_R12_a_i = struct[0].i_R12_a_i
i_R12_b_r = struct[0].i_R12_b_r
i_R12_b_i = struct[0].i_R12_b_i
i_R12_c_r = struct[0].i_R12_c_r
i_R12_c_i = struct[0].i_R12_c_i
i_R12_n_r = struct[0].i_R12_n_r
i_R12_n_i = struct[0].i_R12_n_i
i_R13_a_r = struct[0].i_R13_a_r
i_R13_a_i = struct[0].i_R13_a_i
i_R13_b_r = struct[0].i_R13_b_r
i_R13_b_i = struct[0].i_R13_b_i
i_R13_c_r = struct[0].i_R13_c_r
i_R13_c_i = struct[0].i_R13_c_i
i_R13_n_r = struct[0].i_R13_n_r
i_R13_n_i = struct[0].i_R13_n_i
i_R14_a_r = struct[0].i_R14_a_r
i_R14_a_i = struct[0].i_R14_a_i
i_R14_b_r = struct[0].i_R14_b_r
i_R14_b_i = struct[0].i_R14_b_i
i_R14_c_r = struct[0].i_R14_c_r
i_R14_c_i = struct[0].i_R14_c_i
i_R14_n_r = struct[0].i_R14_n_r
i_R14_n_i = struct[0].i_R14_n_i
p_R1_a = struct[0].p_R1_a
q_R1_a = struct[0].q_R1_a
p_R1_b = struct[0].p_R1_b
q_R1_b = struct[0].q_R1_b
p_R1_c = struct[0].p_R1_c
q_R1_c = struct[0].q_R1_c
p_R11_a = struct[0].p_R11_a
q_R11_a = struct[0].q_R11_a
p_R11_b = struct[0].p_R11_b
q_R11_b = struct[0].q_R11_b
p_R11_c = struct[0].p_R11_c
q_R11_c = struct[0].q_R11_c
p_R15_a = struct[0].p_R15_a
q_R15_a = struct[0].q_R15_a
p_R15_b = struct[0].p_R15_b
q_R15_b = struct[0].q_R15_b
p_R15_c = struct[0].p_R15_c
q_R15_c = struct[0].q_R15_c
p_R16_a = struct[0].p_R16_a
q_R16_a = struct[0].q_R16_a
p_R16_b = struct[0].p_R16_b
q_R16_b = struct[0].q_R16_b
p_R16_c = struct[0].p_R16_c
q_R16_c = struct[0].q_R16_c
p_R17_a = struct[0].p_R17_a
q_R17_a = struct[0].q_R17_a
p_R17_b = struct[0].p_R17_b
q_R17_b = struct[0].q_R17_b
p_R17_c = struct[0].p_R17_c
q_R17_c = struct[0].q_R17_c
p_R18_a = struct[0].p_R18_a
q_R18_a = struct[0].q_R18_a
p_R18_b = struct[0].p_R18_b
q_R18_b = struct[0].q_R18_b
p_R18_c = struct[0].p_R18_c
q_R18_c = struct[0].q_R18_c
u_dummy = struct[0].u_dummy
# Dynamical states:
x_dummy = struct[0].x[0,0]
# Algebraic states:
v_R1_a_r = struct[0].y_ini[0,0]
v_R1_a_i = struct[0].y_ini[1,0]
v_R1_b_r = struct[0].y_ini[2,0]
v_R1_b_i = struct[0].y_ini[3,0]
v_R1_c_r = struct[0].y_ini[4,0]
v_R1_c_i = struct[0].y_ini[5,0]
v_R1_n_r = struct[0].y_ini[6,0]
v_R1_n_i = struct[0].y_ini[7,0]
v_R11_a_r = struct[0].y_ini[8,0]
v_R11_a_i = struct[0].y_ini[9,0]
v_R11_b_r = struct[0].y_ini[10,0]
v_R11_b_i = struct[0].y_ini[11,0]
v_R11_c_r = struct[0].y_ini[12,0]
v_R11_c_i = struct[0].y_ini[13,0]
v_R11_n_r = struct[0].y_ini[14,0]
v_R11_n_i = struct[0].y_ini[15,0]
v_R15_a_r = struct[0].y_ini[16,0]
v_R15_a_i = struct[0].y_ini[17,0]
v_R15_b_r = struct[0].y_ini[18,0]
v_R15_b_i = struct[0].y_ini[19,0]
v_R15_c_r = struct[0].y_ini[20,0]
v_R15_c_i = struct[0].y_ini[21,0]
v_R15_n_r = struct[0].y_ini[22,0]
v_R15_n_i = struct[0].y_ini[23,0]
v_R16_a_r = struct[0].y_ini[24,0]
v_R16_a_i = struct[0].y_ini[25,0]
v_R16_b_r = struct[0].y_ini[26,0]
v_R16_b_i = struct[0].y_ini[27,0]
v_R16_c_r = struct[0].y_ini[28,0]
v_R16_c_i = struct[0].y_ini[29,0]
v_R16_n_r = struct[0].y_ini[30,0]
v_R16_n_i = struct[0].y_ini[31,0]
v_R17_a_r = struct[0].y_ini[32,0]
v_R17_a_i = struct[0].y_ini[33,0]
v_R17_b_r = struct[0].y_ini[34,0]
v_R17_b_i = struct[0].y_ini[35,0]
v_R17_c_r = struct[0].y_ini[36,0]
v_R17_c_i = struct[0].y_ini[37,0]
v_R17_n_r = struct[0].y_ini[38,0]
v_R17_n_i = struct[0].y_ini[39,0]
v_R18_a_r = struct[0].y_ini[40,0]
v_R18_a_i = struct[0].y_ini[41,0]
v_R18_b_r = struct[0].y_ini[42,0]
v_R18_b_i = struct[0].y_ini[43,0]
v_R18_c_r = struct[0].y_ini[44,0]
v_R18_c_i = struct[0].y_ini[45,0]
v_R18_n_r = struct[0].y_ini[46,0]
v_R18_n_i = struct[0].y_ini[47,0]
v_R2_a_r = struct[0].y_ini[48,0]
v_R2_a_i = struct[0].y_ini[49,0]
v_R2_b_r = struct[0].y_ini[50,0]
v_R2_b_i = struct[0].y_ini[51,0]
v_R2_c_r = struct[0].y_ini[52,0]
v_R2_c_i = struct[0].y_ini[53,0]
v_R2_n_r = struct[0].y_ini[54,0]
v_R2_n_i = struct[0].y_ini[55,0]
v_R3_a_r = struct[0].y_ini[56,0]
v_R3_a_i = struct[0].y_ini[57,0]
v_R3_b_r = struct[0].y_ini[58,0]
v_R3_b_i = struct[0].y_ini[59,0]
v_R3_c_r = struct[0].y_ini[60,0]
v_R3_c_i = struct[0].y_ini[61,0]
v_R3_n_r = struct[0].y_ini[62,0]
v_R3_n_i = struct[0].y_ini[63,0]
v_R4_a_r = struct[0].y_ini[64,0]
v_R4_a_i = struct[0].y_ini[65,0]
v_R4_b_r = struct[0].y_ini[66,0]
v_R4_b_i = struct[0].y_ini[67,0]
v_R4_c_r = struct[0].y_ini[68,0]
v_R4_c_i = struct[0].y_ini[69,0]
v_R4_n_r = struct[0].y_ini[70,0]
v_R4_n_i = struct[0].y_ini[71,0]
v_R5_a_r = struct[0].y_ini[72,0]
v_R5_a_i = struct[0].y_ini[73,0]
v_R5_b_r = struct[0].y_ini[74,0]
v_R5_b_i = struct[0].y_ini[75,0]
v_R5_c_r = struct[0].y_ini[76,0]
v_R5_c_i = struct[0].y_ini[77,0]
v_R5_n_r = struct[0].y_ini[78,0]
v_R5_n_i = struct[0].y_ini[79,0]
v_R6_a_r = struct[0].y_ini[80,0]
v_R6_a_i = struct[0].y_ini[81,0]
v_R6_b_r = struct[0].y_ini[82,0]
v_R6_b_i = struct[0].y_ini[83,0]
v_R6_c_r = struct[0].y_ini[84,0]
v_R6_c_i = struct[0].y_ini[85,0]
v_R6_n_r = struct[0].y_ini[86,0]
v_R6_n_i = struct[0].y_ini[87,0]
v_R7_a_r = struct[0].y_ini[88,0]
v_R7_a_i = struct[0].y_ini[89,0]
v_R7_b_r = struct[0].y_ini[90,0]
v_R7_b_i = struct[0].y_ini[91,0]
v_R7_c_r = struct[0].y_ini[92,0]
v_R7_c_i = struct[0].y_ini[93,0]
v_R7_n_r = struct[0].y_ini[94,0]
v_R7_n_i = struct[0].y_ini[95,0]
v_R8_a_r = struct[0].y_ini[96,0]
v_R8_a_i = struct[0].y_ini[97,0]
v_R8_b_r = struct[0].y_ini[98,0]
v_R8_b_i = struct[0].y_ini[99,0]
v_R8_c_r = struct[0].y_ini[100,0]
v_R8_c_i = struct[0].y_ini[101,0]
v_R8_n_r = struct[0].y_ini[102,0]
v_R8_n_i = struct[0].y_ini[103,0]
v_R9_a_r = struct[0].y_ini[104,0]
v_R9_a_i = struct[0].y_ini[105,0]
v_R9_b_r = struct[0].y_ini[106,0]
v_R9_b_i = struct[0].y_ini[107,0]
v_R9_c_r = struct[0].y_ini[108,0]
v_R9_c_i = struct[0].y_ini[109,0]
v_R9_n_r = struct[0].y_ini[110,0]
v_R9_n_i = struct[0].y_ini[111,0]
v_R10_a_r = struct[0].y_ini[112,0]
v_R10_a_i = struct[0].y_ini[113,0]
v_R10_b_r = struct[0].y_ini[114,0]
v_R10_b_i = struct[0].y_ini[115,0]
v_R10_c_r = struct[0].y_ini[116,0]
v_R10_c_i = struct[0].y_ini[117,0]
v_R10_n_r = struct[0].y_ini[118,0]
v_R10_n_i = struct[0].y_ini[119,0]
v_R12_a_r = struct[0].y_ini[120,0]
v_R12_a_i = struct[0].y_ini[121,0]
v_R12_b_r = struct[0].y_ini[122,0]
v_R12_b_i = struct[0].y_ini[123,0]
v_R12_c_r = struct[0].y_ini[124,0]
v_R12_c_i = struct[0].y_ini[125,0]
v_R12_n_r = struct[0].y_ini[126,0]
v_R12_n_i = struct[0].y_ini[127,0]
v_R13_a_r = struct[0].y_ini[128,0]
v_R13_a_i = struct[0].y_ini[129,0]
v_R13_b_r = struct[0].y_ini[130,0]
v_R13_b_i = struct[0].y_ini[131,0]
v_R13_c_r = struct[0].y_ini[132,0]
v_R13_c_i = struct[0].y_ini[133,0]
v_R13_n_r = struct[0].y_ini[134,0]
v_R13_n_i = struct[0].y_ini[135,0]
v_R14_a_r = struct[0].y_ini[136,0]
v_R14_a_i = struct[0].y_ini[137,0]
v_R14_b_r = struct[0].y_ini[138,0]
v_R14_b_i = struct[0].y_ini[139,0]
v_R14_c_r = struct[0].y_ini[140,0]
v_R14_c_i = struct[0].y_ini[141,0]
v_R14_n_r = struct[0].y_ini[142,0]
v_R14_n_i = struct[0].y_ini[143,0]
i_R1_a_r = struct[0].y_ini[144,0]
i_R1_a_i = struct[0].y_ini[145,0]
i_R1_b_r = struct[0].y_ini[146,0]
i_R1_b_i = struct[0].y_ini[147,0]
i_R1_c_r = struct[0].y_ini[148,0]
i_R1_c_i = struct[0].y_ini[149,0]
i_R1_n_r = struct[0].y_ini[150,0]
i_R1_n_i = struct[0].y_ini[151,0]
i_R11_a_r = struct[0].y_ini[152,0]
i_R11_a_i = struct[0].y_ini[153,0]
i_R11_b_r = struct[0].y_ini[154,0]
i_R11_b_i = struct[0].y_ini[155,0]
i_R11_c_r = struct[0].y_ini[156,0]
i_R11_c_i = struct[0].y_ini[157,0]
i_R11_n_r = struct[0].y_ini[158,0]
i_R11_n_i = struct[0].y_ini[159,0]
i_R15_a_r = struct[0].y_ini[160,0]
i_R15_a_i = struct[0].y_ini[161,0]
i_R15_b_r = struct[0].y_ini[162,0]
i_R15_b_i = struct[0].y_ini[163,0]
i_R15_c_r = struct[0].y_ini[164,0]
i_R15_c_i = struct[0].y_ini[165,0]
i_R15_n_r = struct[0].y_ini[166,0]
i_R15_n_i = struct[0].y_ini[167,0]
i_R16_a_r = struct[0].y_ini[168,0]
i_R16_a_i = struct[0].y_ini[169,0]
i_R16_b_r = struct[0].y_ini[170,0]
i_R16_b_i = struct[0].y_ini[171,0]
i_R16_c_r = struct[0].y_ini[172,0]
i_R16_c_i = struct[0].y_ini[173,0]
i_R16_n_r = struct[0].y_ini[174,0]
i_R16_n_i = struct[0].y_ini[175,0]
i_R17_a_r = struct[0].y_ini[176,0]
i_R17_a_i = struct[0].y_ini[177,0]
i_R17_b_r = struct[0].y_ini[178,0]
i_R17_b_i = struct[0].y_ini[179,0]
i_R17_c_r = struct[0].y_ini[180,0]
i_R17_c_i = struct[0].y_ini[181,0]
i_R17_n_r = struct[0].y_ini[182,0]
i_R17_n_i = struct[0].y_ini[183,0]
i_R18_a_r = struct[0].y_ini[184,0]
i_R18_a_i = struct[0].y_ini[185,0]
i_R18_b_r = struct[0].y_ini[186,0]
i_R18_b_i = struct[0].y_ini[187,0]
i_R18_c_r = struct[0].y_ini[188,0]
i_R18_c_i = struct[0].y_ini[189,0]
i_R18_n_r = struct[0].y_ini[190,0]
i_R18_n_i = struct[0].y_ini[191,0]
# Differential equations:
if mode == 2:
struct[0].f[0,0] = u_dummy - x_dummy
# Algebraic equations:
if mode == 3:
struct[0].g[0,0] = i_R1_a_r + 0.808613822394434*v_R0_a_i + 0.202153455598608*v_R0_a_r - 0.808613822394434*v_R0_c_i - 0.202153455598608*v_R0_c_r - 120.759116772529*v_R1_a_i - 122.245105314247*v_R1_a_r + 10.2713736253513*v_R1_b_i + 39.6392229058202*v_R1_b_r + 23.284964480954*v_R1_c_i + 24.9575997948692*v_R1_c_r + 76.9647176296197*v_R1_n_i + 56.3125589068873*v_R1_n_r + 54.0657727682604*v_R2_a_i + 105.57176931318*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r - 23.284964480954*v_R2_c_i - 24.9575997948692*v_R2_c_r - 10.2713736253513*v_R2_n_i - 39.6392229058202*v_R2_n_r
struct[0].g[1,0] = i_R1_a_i + 0.202153455598608*v_R0_a_i - 0.808613822394434*v_R0_a_r - 0.202153455598608*v_R0_c_i + 0.808613822394434*v_R0_c_r - 122.245105314247*v_R1_a_i + 120.759116772529*v_R1_a_r + 39.6392229058202*v_R1_b_i - 10.2713736253513*v_R1_b_r + 24.9575997948692*v_R1_c_i - 23.284964480954*v_R1_c_r + 56.3125589068873*v_R1_n_i - 76.9647176296197*v_R1_n_r + 105.57176931318*v_R2_a_i - 54.0657727682604*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r - 24.9575997948692*v_R2_c_i + 23.284964480954*v_R2_c_r - 39.6392229058202*v_R2_n_i + 10.2713736253513*v_R2_n_r
struct[0].g[2,0] = i_R1_b_r - 0.808613822394434*v_R0_a_i - 0.202153455598608*v_R0_a_r + 0.808613822394434*v_R0_b_i + 0.202153455598608*v_R0_b_r + 10.2713736253513*v_R1_a_i + 39.6392229058202*v_R1_a_r - 120.759116772529*v_R1_b_i - 122.245105314247*v_R1_b_r + 10.2713736253513*v_R1_c_i + 39.6392229058201*v_R1_c_r + 89.9783084852224*v_R1_n_i + 41.6309357959363*v_R1_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r + 54.0657727682604*v_R2_b_i + 105.57176931318*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058201*v_R2_c_r - 23.284964480954*v_R2_n_i - 24.9575997948692*v_R2_n_r
struct[0].g[3,0] = i_R1_b_i - 0.202153455598608*v_R0_a_i + 0.808613822394434*v_R0_a_r + 0.202153455598608*v_R0_b_i - 0.808613822394434*v_R0_b_r + 39.6392229058202*v_R1_a_i - 10.2713736253513*v_R1_a_r - 122.245105314247*v_R1_b_i + 120.759116772529*v_R1_b_r + 39.6392229058201*v_R1_c_i - 10.2713736253513*v_R1_c_r + 41.6309357959363*v_R1_n_i - 89.9783084852224*v_R1_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r + 105.57176931318*v_R2_b_i - 54.0657727682604*v_R2_b_r - 39.6392229058201*v_R2_c_i + 10.2713736253513*v_R2_c_r - 24.9575997948692*v_R2_n_i + 23.284964480954*v_R2_n_r
struct[0].g[4,0] = i_R1_c_r - 0.808613822394434*v_R0_b_i - 0.202153455598608*v_R0_b_r + 0.808613822394434*v_R0_c_i + 0.202153455598608*v_R0_c_r + 23.284964480954*v_R1_a_i + 24.9575997948692*v_R1_a_r + 10.2713736253513*v_R1_b_i + 39.6392229058202*v_R1_b_r - 120.759116772529*v_R1_c_i - 122.245105314247*v_R1_c_r + 76.9647176296197*v_R1_n_i + 56.3125589068872*v_R1_n_r - 23.284964480954*v_R2_a_i - 24.9575997948692*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r + 54.0657727682604*v_R2_c_i + 105.57176931318*v_R2_c_r - 10.2713736253514*v_R2_n_i - 39.6392229058201*v_R2_n_r
struct[0].g[5,0] = i_R1_c_i - 0.202153455598608*v_R0_b_i + 0.808613822394434*v_R0_b_r + 0.202153455598608*v_R0_c_i - 0.808613822394434*v_R0_c_r + 24.9575997948692*v_R1_a_i - 23.284964480954*v_R1_a_r + 39.6392229058202*v_R1_b_i - 10.2713736253513*v_R1_b_r - 122.245105314247*v_R1_c_i + 120.759116772529*v_R1_c_r + 56.3125589068872*v_R1_n_i - 76.9647176296197*v_R1_n_r - 24.9575997948692*v_R2_a_i + 23.284964480954*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r + 105.57176931318*v_R2_c_i - 54.0657727682604*v_R2_c_r - 39.6392229058201*v_R2_n_i + 10.2713736253514*v_R2_n_r
struct[0].g[6,0] = i_R1_n_r + 76.9647176296197*v_R1_a_i + 56.3125589068872*v_R1_a_r + 89.9783084852224*v_R1_b_i + 41.6309357959363*v_R1_b_r + 76.9647176296197*v_R1_c_i + 56.3125589068872*v_R1_c_r - 254.145804781065*v_R1_n_i - 155.925110649715*v_R1_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r - 23.284964480954*v_R2_b_i - 24.9575997948692*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058202*v_R2_c_r + 54.0657727682604*v_R2_n_i + 105.57176931318*v_R2_n_r
struct[0].g[7,0] = i_R1_n_i + 56.3125589068872*v_R1_a_i - 76.9647176296197*v_R1_a_r + 41.6309357959363*v_R1_b_i - 89.9783084852224*v_R1_b_r + 56.3125589068872*v_R1_c_i - 76.9647176296197*v_R1_c_r - 155.925110649715*v_R1_n_i + 254.145804781065*v_R1_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r - 24.9575997948692*v_R2_b_i + 23.284964480954*v_R2_b_r - 39.6392229058202*v_R2_c_i + 10.2713736253513*v_R2_c_r + 105.57176931318*v_R2_n_i - 54.0657727682604*v_R2_n_r
struct[0].g[8,0] = i_R11_a_r - 4.84676915585801*v_R11_a_i - 26.5300693004806*v_R11_a_r - 1.58482814504483*v_R11_b_i + 7.8946133751477*v_R11_b_r - 0.67991845328531*v_R11_c_i + 7.72144347466701*v_R11_c_r - 1.58482814504483*v_R11_n_i + 7.89461337514771*v_R11_n_r + 4.84676915585801*v_R3_a_i + 26.5300693004806*v_R3_a_r + 1.58482814504483*v_R3_b_i - 7.8946133751477*v_R3_b_r + 0.67991845328531*v_R3_c_i - 7.72144347466701*v_R3_c_r + 1.58482814504483*v_R3_n_i - 7.89461337514771*v_R3_n_r
struct[0].g[9,0] = i_R11_a_i - 26.5300693004806*v_R11_a_i + 4.84676915585801*v_R11_a_r + 7.8946133751477*v_R11_b_i + 1.58482814504483*v_R11_b_r + 7.72144347466701*v_R11_c_i + 0.67991845328531*v_R11_c_r + 7.89461337514771*v_R11_n_i + 1.58482814504483*v_R11_n_r + 26.5300693004806*v_R3_a_i - 4.84676915585801*v_R3_a_r - 7.8946133751477*v_R3_b_i - 1.58482814504483*v_R3_b_r - 7.72144347466701*v_R3_c_i - 0.67991845328531*v_R3_c_r - 7.89461337514771*v_R3_n_i - 1.58482814504483*v_R3_n_r
struct[0].g[10,0] = i_R11_b_r - 1.58482814504483*v_R11_a_i + 7.89461337514771*v_R11_a_r - 4.84676915585801*v_R11_b_i - 26.5300693004806*v_R11_b_r - 1.58482814504483*v_R11_c_i + 7.89461337514771*v_R11_c_r - 0.679918453285308*v_R11_n_i + 7.72144347466701*v_R11_n_r + 1.58482814504483*v_R3_a_i - 7.89461337514771*v_R3_a_r + 4.84676915585801*v_R3_b_i + 26.5300693004806*v_R3_b_r + 1.58482814504483*v_R3_c_i - 7.89461337514771*v_R3_c_r + 0.679918453285308*v_R3_n_i - 7.72144347466701*v_R3_n_r
struct[0].g[11,0] = i_R11_b_i + 7.89461337514771*v_R11_a_i + 1.58482814504483*v_R11_a_r - 26.5300693004806*v_R11_b_i + 4.84676915585801*v_R11_b_r + 7.89461337514771*v_R11_c_i + 1.58482814504483*v_R11_c_r + 7.72144347466701*v_R11_n_i + 0.679918453285308*v_R11_n_r - 7.89461337514771*v_R3_a_i - 1.58482814504483*v_R3_a_r + 26.5300693004806*v_R3_b_i - 4.84676915585801*v_R3_b_r - 7.89461337514771*v_R3_c_i - 1.58482814504483*v_R3_c_r - 7.72144347466701*v_R3_n_i - 0.679918453285308*v_R3_n_r
struct[0].g[12,0] = i_R11_c_r - 0.67991845328531*v_R11_a_i + 7.72144347466701*v_R11_a_r - 1.58482814504483*v_R11_b_i + 7.8946133751477*v_R11_b_r - 4.84676915585801*v_R11_c_i - 26.5300693004806*v_R11_c_r - 1.58482814504483*v_R11_n_i + 7.89461337514771*v_R11_n_r + 0.67991845328531*v_R3_a_i - 7.72144347466701*v_R3_a_r + 1.58482814504483*v_R3_b_i - 7.8946133751477*v_R3_b_r + 4.84676915585801*v_R3_c_i + 26.5300693004806*v_R3_c_r + 1.58482814504483*v_R3_n_i - 7.89461337514771*v_R3_n_r
struct[0].g[13,0] = i_R11_c_i + 7.72144347466701*v_R11_a_i + 0.67991845328531*v_R11_a_r + 7.8946133751477*v_R11_b_i + 1.58482814504483*v_R11_b_r - 26.5300693004806*v_R11_c_i + 4.84676915585801*v_R11_c_r + 7.89461337514771*v_R11_n_i + 1.58482814504483*v_R11_n_r - 7.72144347466701*v_R3_a_i - 0.67991845328531*v_R3_a_r - 7.8946133751477*v_R3_b_i - 1.58482814504483*v_R3_b_r + 26.5300693004806*v_R3_c_i - 4.84676915585801*v_R3_c_r - 7.89461337514771*v_R3_n_i - 1.58482814504483*v_R3_n_r
struct[0].g[14,0] = i_R11_n_r - 1.58482814504483*v_R11_a_i + 7.89461337514771*v_R11_a_r - 0.679918453285308*v_R11_b_i + 7.72144347466701*v_R11_b_r - 1.58482814504483*v_R11_c_i + 7.89461337514771*v_R11_c_r - 4.84676915585801*v_R11_n_i - 26.5550693004806*v_R11_n_r + 1.58482814504483*v_R3_a_i - 7.89461337514771*v_R3_a_r + 0.679918453285308*v_R3_b_i - 7.72144347466701*v_R3_b_r + 1.58482814504483*v_R3_c_i - 7.89461337514771*v_R3_c_r + 4.84676915585801*v_R3_n_i + 26.5300693004806*v_R3_n_r
struct[0].g[15,0] = i_R11_n_i + 7.89461337514771*v_R11_a_i + 1.58482814504483*v_R11_a_r + 7.72144347466701*v_R11_b_i + 0.679918453285308*v_R11_b_r + 7.89461337514771*v_R11_c_i + 1.58482814504483*v_R11_c_r - 26.5550693004806*v_R11_n_i + 4.84676915585801*v_R11_n_r - 7.89461337514771*v_R3_a_i - 1.58482814504483*v_R3_a_r - 7.72144347466701*v_R3_b_i - 0.679918453285308*v_R3_b_r - 7.89461337514771*v_R3_c_i - 1.58482814504483*v_R3_c_r + 26.5300693004806*v_R3_n_i - 4.84676915585801*v_R3_n_r
struct[0].g[16,0] = i_R15_a_r + 4.84676915585801*v_R14_a_i + 26.5300693004806*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 0.67991845328531*v_R14_c_i - 7.72144347466701*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r - 4.84676915585801*v_R15_a_i - 26.5300693004806*v_R15_a_r - 1.58482814504483*v_R15_b_i + 7.8946133751477*v_R15_b_r - 0.67991845328531*v_R15_c_i + 7.72144347466701*v_R15_c_r - 1.58482814504483*v_R15_n_i + 7.89461337514771*v_R15_n_r
struct[0].g[17,0] = i_R15_a_i + 26.5300693004806*v_R14_a_i - 4.84676915585801*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r - 7.72144347466701*v_R14_c_i - 0.67991845328531*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r - 26.5300693004806*v_R15_a_i + 4.84676915585801*v_R15_a_r + 7.8946133751477*v_R15_b_i + 1.58482814504483*v_R15_b_r + 7.72144347466701*v_R15_c_i + 0.67991845328531*v_R15_c_r + 7.89461337514771*v_R15_n_i + 1.58482814504483*v_R15_n_r
struct[0].g[18,0] = i_R15_b_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 4.84676915585801*v_R14_b_i + 26.5300693004806*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 0.679918453285308*v_R14_n_i - 7.72144347466701*v_R14_n_r - 1.58482814504483*v_R15_a_i + 7.89461337514771*v_R15_a_r - 4.84676915585801*v_R15_b_i - 26.5300693004806*v_R15_b_r - 1.58482814504483*v_R15_c_i + 7.89461337514771*v_R15_c_r - 0.679918453285308*v_R15_n_i + 7.72144347466701*v_R15_n_r
struct[0].g[19,0] = i_R15_b_i - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r + 26.5300693004806*v_R14_b_i - 4.84676915585801*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r - 7.72144347466701*v_R14_n_i - 0.679918453285308*v_R14_n_r + 7.89461337514771*v_R15_a_i + 1.58482814504483*v_R15_a_r - 26.5300693004806*v_R15_b_i + 4.84676915585801*v_R15_b_r + 7.89461337514771*v_R15_c_i + 1.58482814504483*v_R15_c_r + 7.72144347466701*v_R15_n_i + 0.679918453285308*v_R15_n_r
struct[0].g[20,0] = i_R15_c_r + 0.67991845328531*v_R14_a_i - 7.72144347466701*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 4.84676915585801*v_R14_c_i + 26.5300693004806*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r - 0.67991845328531*v_R15_a_i + 7.72144347466701*v_R15_a_r - 1.58482814504483*v_R15_b_i + 7.8946133751477*v_R15_b_r - 4.84676915585801*v_R15_c_i - 26.5300693004806*v_R15_c_r - 1.58482814504483*v_R15_n_i + 7.89461337514771*v_R15_n_r
struct[0].g[21,0] = i_R15_c_i - 7.72144347466701*v_R14_a_i - 0.67991845328531*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r + 26.5300693004806*v_R14_c_i - 4.84676915585801*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r + 7.72144347466701*v_R15_a_i + 0.67991845328531*v_R15_a_r + 7.8946133751477*v_R15_b_i + 1.58482814504483*v_R15_b_r - 26.5300693004806*v_R15_c_i + 4.84676915585801*v_R15_c_r + 7.89461337514771*v_R15_n_i + 1.58482814504483*v_R15_n_r
struct[0].g[22,0] = i_R15_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 0.679918453285308*v_R14_b_i - 7.72144347466701*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 4.84676915585801*v_R14_n_i + 26.5300693004806*v_R14_n_r - 1.58482814504483*v_R15_a_i + 7.89461337514771*v_R15_a_r - 0.679918453285308*v_R15_b_i + 7.72144347466701*v_R15_b_r - 1.58482814504483*v_R15_c_i + 7.89461337514771*v_R15_c_r - 4.84676915585801*v_R15_n_i - 26.5550693004806*v_R15_n_r
struct[0].g[23,0] = i_R15_n_i - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r - 7.72144347466701*v_R14_b_i - 0.679918453285308*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r + 26.5300693004806*v_R14_n_i - 4.84676915585801*v_R14_n_r + 7.89461337514771*v_R15_a_i + 1.58482814504483*v_R15_a_r + 7.72144347466701*v_R15_b_i + 0.679918453285308*v_R15_b_r + 7.89461337514771*v_R15_c_i + 1.58482814504483*v_R15_c_r - 26.5550693004806*v_R15_n_i + 4.84676915585801*v_R15_n_r
struct[0].g[24,0] = i_R16_a_r - 5.65456401516768*v_R16_a_i - 30.9517475172273*v_R16_a_r - 1.84896616921897*v_R16_b_i + 9.21038227100566*v_R16_b_r - 0.793238195499529*v_R16_c_i + 9.00835072044485*v_R16_c_r - 1.84896616921897*v_R16_n_i + 9.21038227100566*v_R16_n_r + 5.65456401516768*v_R6_a_i + 30.9517475172273*v_R6_a_r + 1.84896616921897*v_R6_b_i - 9.21038227100566*v_R6_b_r + 0.793238195499529*v_R6_c_i - 9.00835072044485*v_R6_c_r + 1.84896616921897*v_R6_n_i - 9.21038227100566*v_R6_n_r
struct[0].g[25,0] = i_R16_a_i - 30.9517475172273*v_R16_a_i + 5.65456401516768*v_R16_a_r + 9.21038227100566*v_R16_b_i + 1.84896616921897*v_R16_b_r + 9.00835072044485*v_R16_c_i + 0.793238195499529*v_R16_c_r + 9.21038227100566*v_R16_n_i + 1.84896616921897*v_R16_n_r + 30.9517475172273*v_R6_a_i - 5.65456401516768*v_R6_a_r - 9.21038227100566*v_R6_b_i - 1.84896616921897*v_R6_b_r - 9.00835072044485*v_R6_c_i - 0.793238195499529*v_R6_c_r - 9.21038227100566*v_R6_n_i - 1.84896616921897*v_R6_n_r
struct[0].g[26,0] = i_R16_b_r - 1.84896616921897*v_R16_a_i + 9.21038227100566*v_R16_a_r - 5.65456401516768*v_R16_b_i - 30.9517475172273*v_R16_b_r - 1.84896616921897*v_R16_c_i + 9.21038227100566*v_R16_c_r - 0.793238195499528*v_R16_n_i + 9.00835072044485*v_R16_n_r + 1.84896616921897*v_R6_a_i - 9.21038227100566*v_R6_a_r + 5.65456401516768*v_R6_b_i + 30.9517475172273*v_R6_b_r + 1.84896616921897*v_R6_c_i - 9.21038227100566*v_R6_c_r + 0.793238195499528*v_R6_n_i - 9.00835072044485*v_R6_n_r
struct[0].g[27,0] = i_R16_b_i + 9.21038227100566*v_R16_a_i + 1.84896616921897*v_R16_a_r - 30.9517475172273*v_R16_b_i + 5.65456401516768*v_R16_b_r + 9.21038227100566*v_R16_c_i + 1.84896616921897*v_R16_c_r + 9.00835072044485*v_R16_n_i + 0.793238195499528*v_R16_n_r - 9.21038227100566*v_R6_a_i - 1.84896616921897*v_R6_a_r + 30.9517475172273*v_R6_b_i - 5.65456401516768*v_R6_b_r - 9.21038227100566*v_R6_c_i - 1.84896616921897*v_R6_c_r - 9.00835072044485*v_R6_n_i - 0.793238195499528*v_R6_n_r
struct[0].g[28,0] = i_R16_c_r - 0.793238195499527*v_R16_a_i + 9.00835072044484*v_R16_a_r - 1.84896616921897*v_R16_b_i + 9.21038227100566*v_R16_b_r - 5.65456401516768*v_R16_c_i - 30.9517475172273*v_R16_c_r - 1.84896616921897*v_R16_n_i + 9.21038227100566*v_R16_n_r + 0.793238195499527*v_R6_a_i - 9.00835072044484*v_R6_a_r + 1.84896616921897*v_R6_b_i - 9.21038227100566*v_R6_b_r + 5.65456401516768*v_R6_c_i + 30.9517475172273*v_R6_c_r + 1.84896616921897*v_R6_n_i - 9.21038227100566*v_R6_n_r
struct[0].g[29,0] = i_R16_c_i + 9.00835072044484*v_R16_a_i + 0.793238195499527*v_R16_a_r + 9.21038227100566*v_R16_b_i + 1.84896616921897*v_R16_b_r - 30.9517475172273*v_R16_c_i + 5.65456401516768*v_R16_c_r + 9.21038227100566*v_R16_n_i + 1.84896616921897*v_R16_n_r - 9.00835072044484*v_R6_a_i - 0.793238195499527*v_R6_a_r - 9.21038227100566*v_R6_b_i - 1.84896616921897*v_R6_b_r + 30.9517475172273*v_R6_c_i - 5.65456401516768*v_R6_c_r - 9.21038227100566*v_R6_n_i - 1.84896616921897*v_R6_n_r
struct[0].g[30,0] = i_R16_n_r - 1.84896616921897*v_R16_a_i + 9.21038227100566*v_R16_a_r - 0.793238195499527*v_R16_b_i + 9.00835072044485*v_R16_b_r - 1.84896616921897*v_R16_c_i + 9.21038227100566*v_R16_c_r - 5.65456401516768*v_R16_n_i - 30.9767475172273*v_R16_n_r + 1.84896616921897*v_R6_a_i - 9.21038227100566*v_R6_a_r + 0.793238195499527*v_R6_b_i - 9.00835072044485*v_R6_b_r + 1.84896616921897*v_R6_c_i - 9.21038227100566*v_R6_c_r + 5.65456401516768*v_R6_n_i + 30.9517475172273*v_R6_n_r
struct[0].g[31,0] = i_R16_n_i + 9.21038227100566*v_R16_a_i + 1.84896616921897*v_R16_a_r + 9.00835072044485*v_R16_b_i + 0.793238195499527*v_R16_b_r + 9.21038227100566*v_R16_c_i + 1.84896616921897*v_R16_c_r - 30.9767475172273*v_R16_n_i + 5.65456401516768*v_R16_n_r - 9.21038227100566*v_R6_a_i - 1.84896616921897*v_R6_a_r - 9.00835072044485*v_R6_b_i - 0.793238195499527*v_R6_b_r - 9.21038227100566*v_R6_c_i - 1.84896616921897*v_R6_c_r + 30.9517475172273*v_R6_n_i - 5.65456401516768*v_R6_n_r
struct[0].g[32,0] = i_R17_a_r - 5.65456401516768*v_R17_a_i - 30.9517475172273*v_R17_a_r - 1.84896616921897*v_R17_b_i + 9.21038227100566*v_R17_b_r - 0.793238195499529*v_R17_c_i + 9.00835072044485*v_R17_c_r - 1.84896616921897*v_R17_n_i + 9.21038227100566*v_R17_n_r + 5.65456401516768*v_R9_a_i + 30.9517475172273*v_R9_a_r + 1.84896616921897*v_R9_b_i - 9.21038227100566*v_R9_b_r + 0.793238195499529*v_R9_c_i - 9.00835072044485*v_R9_c_r + 1.84896616921897*v_R9_n_i - 9.21038227100566*v_R9_n_r
struct[0].g[33,0] = i_R17_a_i - 30.9517475172273*v_R17_a_i + 5.65456401516768*v_R17_a_r + 9.21038227100566*v_R17_b_i + 1.84896616921897*v_R17_b_r + 9.00835072044485*v_R17_c_i + 0.793238195499529*v_R17_c_r + 9.21038227100566*v_R17_n_i + 1.84896616921897*v_R17_n_r + 30.9517475172273*v_R9_a_i - 5.65456401516768*v_R9_a_r - 9.21038227100566*v_R9_b_i - 1.84896616921897*v_R9_b_r - 9.00835072044485*v_R9_c_i - 0.793238195499529*v_R9_c_r - 9.21038227100566*v_R9_n_i - 1.84896616921897*v_R9_n_r
struct[0].g[34,0] = i_R17_b_r - 1.84896616921897*v_R17_a_i + 9.21038227100566*v_R17_a_r - 5.65456401516768*v_R17_b_i - 30.9517475172273*v_R17_b_r - 1.84896616921897*v_R17_c_i + 9.21038227100566*v_R17_c_r - 0.793238195499528*v_R17_n_i + 9.00835072044485*v_R17_n_r + 1.84896616921897*v_R9_a_i - 9.21038227100566*v_R9_a_r + 5.65456401516768*v_R9_b_i + 30.9517475172273*v_R9_b_r + 1.84896616921897*v_R9_c_i - 9.21038227100566*v_R9_c_r + 0.793238195499528*v_R9_n_i - 9.00835072044485*v_R9_n_r
struct[0].g[35,0] = i_R17_b_i + 9.21038227100566*v_R17_a_i + 1.84896616921897*v_R17_a_r - 30.9517475172273*v_R17_b_i + 5.65456401516768*v_R17_b_r + 9.21038227100566*v_R17_c_i + 1.84896616921897*v_R17_c_r + 9.00835072044485*v_R17_n_i + 0.793238195499528*v_R17_n_r - 9.21038227100566*v_R9_a_i - 1.84896616921897*v_R9_a_r + 30.9517475172273*v_R9_b_i - 5.65456401516768*v_R9_b_r - 9.21038227100566*v_R9_c_i - 1.84896616921897*v_R9_c_r - 9.00835072044485*v_R9_n_i - 0.793238195499528*v_R9_n_r
struct[0].g[36,0] = i_R17_c_r - 0.793238195499527*v_R17_a_i + 9.00835072044484*v_R17_a_r - 1.84896616921897*v_R17_b_i + 9.21038227100566*v_R17_b_r - 5.65456401516768*v_R17_c_i - 30.9517475172273*v_R17_c_r - 1.84896616921897*v_R17_n_i + 9.21038227100566*v_R17_n_r + 0.793238195499527*v_R9_a_i - 9.00835072044484*v_R9_a_r + 1.84896616921897*v_R9_b_i - 9.21038227100566*v_R9_b_r + 5.65456401516768*v_R9_c_i + 30.9517475172273*v_R9_c_r + 1.84896616921897*v_R9_n_i - 9.21038227100566*v_R9_n_r
struct[0].g[37,0] = i_R17_c_i + 9.00835072044484*v_R17_a_i + 0.793238195499527*v_R17_a_r + 9.21038227100566*v_R17_b_i + 1.84896616921897*v_R17_b_r - 30.9517475172273*v_R17_c_i + 5.65456401516768*v_R17_c_r + 9.21038227100566*v_R17_n_i + 1.84896616921897*v_R17_n_r - 9.00835072044484*v_R9_a_i - 0.793238195499527*v_R9_a_r - 9.21038227100566*v_R9_b_i - 1.84896616921897*v_R9_b_r + 30.9517475172273*v_R9_c_i - 5.65456401516768*v_R9_c_r - 9.21038227100566*v_R9_n_i - 1.84896616921897*v_R9_n_r
struct[0].g[38,0] = i_R17_n_r - 1.84896616921897*v_R17_a_i + 9.21038227100566*v_R17_a_r - 0.793238195499527*v_R17_b_i + 9.00835072044485*v_R17_b_r - 1.84896616921897*v_R17_c_i + 9.21038227100566*v_R17_c_r - 5.65456401516768*v_R17_n_i - 30.9767475172273*v_R17_n_r + 1.84896616921897*v_R9_a_i - 9.21038227100566*v_R9_a_r + 0.793238195499527*v_R9_b_i - 9.00835072044485*v_R9_b_r + 1.84896616921897*v_R9_c_i - 9.21038227100566*v_R9_c_r + 5.65456401516768*v_R9_n_i + 30.9517475172273*v_R9_n_r
struct[0].g[39,0] = i_R17_n_i + 9.21038227100566*v_R17_a_i + 1.84896616921897*v_R17_a_r + 9.00835072044485*v_R17_b_i + 0.793238195499527*v_R17_b_r + 9.21038227100566*v_R17_c_i + 1.84896616921897*v_R17_c_r - 30.9767475172273*v_R17_n_i + 5.65456401516768*v_R17_n_r - 9.21038227100566*v_R9_a_i - 1.84896616921897*v_R9_a_r - 9.00835072044485*v_R9_b_i - 0.793238195499527*v_R9_b_r - 9.21038227100566*v_R9_c_i - 1.84896616921897*v_R9_c_r + 30.9517475172273*v_R9_n_i - 5.65456401516768*v_R9_n_r
struct[0].g[40,0] = i_R18_a_r + 5.65456401516768*v_R10_a_i + 30.9517475172273*v_R10_a_r + 1.84896616921897*v_R10_b_i - 9.21038227100566*v_R10_b_r + 0.793238195499529*v_R10_c_i - 9.00835072044485*v_R10_c_r + 1.84896616921897*v_R10_n_i - 9.21038227100566*v_R10_n_r - 5.65456401516768*v_R18_a_i - 30.9517475172273*v_R18_a_r - 1.84896616921897*v_R18_b_i + 9.21038227100566*v_R18_b_r - 0.793238195499529*v_R18_c_i + 9.00835072044485*v_R18_c_r - 1.84896616921897*v_R18_n_i + 9.21038227100566*v_R18_n_r
struct[0].g[41,0] = i_R18_a_i + 30.9517475172273*v_R10_a_i - 5.65456401516768*v_R10_a_r - 9.21038227100566*v_R10_b_i - 1.84896616921897*v_R10_b_r - 9.00835072044485*v_R10_c_i - 0.793238195499529*v_R10_c_r - 9.21038227100566*v_R10_n_i - 1.84896616921897*v_R10_n_r - 30.9517475172273*v_R18_a_i + 5.65456401516768*v_R18_a_r + 9.21038227100566*v_R18_b_i + 1.84896616921897*v_R18_b_r + 9.00835072044485*v_R18_c_i + 0.793238195499529*v_R18_c_r + 9.21038227100566*v_R18_n_i + 1.84896616921897*v_R18_n_r
struct[0].g[42,0] = i_R18_b_r + 1.84896616921897*v_R10_a_i - 9.21038227100566*v_R10_a_r + 5.65456401516768*v_R10_b_i + 30.9517475172273*v_R10_b_r + 1.84896616921897*v_R10_c_i - 9.21038227100566*v_R10_c_r + 0.793238195499528*v_R10_n_i - 9.00835072044485*v_R10_n_r - 1.84896616921897*v_R18_a_i + 9.21038227100566*v_R18_a_r - 5.65456401516768*v_R18_b_i - 30.9517475172273*v_R18_b_r - 1.84896616921897*v_R18_c_i + 9.21038227100566*v_R18_c_r - 0.793238195499528*v_R18_n_i + 9.00835072044485*v_R18_n_r
struct[0].g[43,0] = i_R18_b_i - 9.21038227100566*v_R10_a_i - 1.84896616921897*v_R10_a_r + 30.9517475172273*v_R10_b_i - 5.65456401516768*v_R10_b_r - 9.21038227100566*v_R10_c_i - 1.84896616921897*v_R10_c_r - 9.00835072044485*v_R10_n_i - 0.793238195499528*v_R10_n_r + 9.21038227100566*v_R18_a_i + 1.84896616921897*v_R18_a_r - 30.9517475172273*v_R18_b_i + 5.65456401516768*v_R18_b_r + 9.21038227100566*v_R18_c_i + 1.84896616921897*v_R18_c_r + 9.00835072044485*v_R18_n_i + 0.793238195499528*v_R18_n_r
struct[0].g[44,0] = i_R18_c_r + 0.793238195499527*v_R10_a_i - 9.00835072044484*v_R10_a_r + 1.84896616921897*v_R10_b_i - 9.21038227100566*v_R10_b_r + 5.65456401516768*v_R10_c_i + 30.9517475172273*v_R10_c_r + 1.84896616921897*v_R10_n_i - 9.21038227100566*v_R10_n_r - 0.793238195499527*v_R18_a_i + 9.00835072044484*v_R18_a_r - 1.84896616921897*v_R18_b_i + 9.21038227100566*v_R18_b_r - 5.65456401516768*v_R18_c_i - 30.9517475172273*v_R18_c_r - 1.84896616921897*v_R18_n_i + 9.21038227100566*v_R18_n_r
struct[0].g[45,0] = i_R18_c_i - 9.00835072044484*v_R10_a_i - 0.793238195499527*v_R10_a_r - 9.21038227100566*v_R10_b_i - 1.84896616921897*v_R10_b_r + 30.9517475172273*v_R10_c_i - 5.65456401516768*v_R10_c_r - 9.21038227100566*v_R10_n_i - 1.84896616921897*v_R10_n_r + 9.00835072044484*v_R18_a_i + 0.793238195499527*v_R18_a_r + 9.21038227100566*v_R18_b_i + 1.84896616921897*v_R18_b_r - 30.9517475172273*v_R18_c_i + 5.65456401516768*v_R18_c_r + 9.21038227100566*v_R18_n_i + 1.84896616921897*v_R18_n_r
struct[0].g[46,0] = i_R18_n_r + 1.84896616921897*v_R10_a_i - 9.21038227100566*v_R10_a_r + 0.793238195499527*v_R10_b_i - 9.00835072044485*v_R10_b_r + 1.84896616921897*v_R10_c_i - 9.21038227100566*v_R10_c_r + 5.65456401516768*v_R10_n_i + 30.9517475172273*v_R10_n_r - 1.84896616921897*v_R18_a_i + 9.21038227100566*v_R18_a_r - 0.793238195499527*v_R18_b_i + 9.00835072044485*v_R18_b_r - 1.84896616921897*v_R18_c_i + 9.21038227100566*v_R18_c_r - 5.65456401516768*v_R18_n_i - 30.9767475172273*v_R18_n_r
struct[0].g[47,0] = i_R18_n_i - 9.21038227100566*v_R10_a_i - 1.84896616921897*v_R10_a_r - 9.00835072044485*v_R10_b_i - 0.793238195499527*v_R10_b_r - 9.21038227100566*v_R10_c_i - 1.84896616921897*v_R10_c_r + 30.9517475172273*v_R10_n_i - 5.65456401516768*v_R10_n_r + 9.21038227100566*v_R18_a_i + 1.84896616921897*v_R18_a_r + 9.00835072044485*v_R18_b_i + 0.793238195499527*v_R18_b_r + 9.21038227100566*v_R18_c_i + 1.84896616921897*v_R18_c_r - 30.9767475172273*v_R18_n_i + 5.65456401516768*v_R18_n_r
struct[0].g[48,0] = i_R2_a_r + 54.0657727682604*v_R1_a_i + 105.57176931318*v_R1_a_r - 10.2713736253513*v_R1_b_i - 39.6392229058202*v_R1_b_r - 23.284964480954*v_R1_c_i - 24.9575997948692*v_R1_c_r - 10.2713736253513*v_R1_n_i - 39.6392229058202*v_R1_n_r - 108.131545536521*v_R2_a_i - 211.14353862636*v_R2_a_r + 20.5427472507027*v_R2_b_i + 79.2784458116403*v_R2_b_r + 46.569928961908*v_R2_c_i + 49.9151995897384*v_R2_c_r + 20.5427472507027*v_R2_n_i + 79.2784458116403*v_R2_n_r + 54.0657727682604*v_R3_a_i + 105.57176931318*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r - 23.284964480954*v_R3_c_i - 24.9575997948692*v_R3_c_r - 10.2713736253513*v_R3_n_i - 39.6392229058202*v_R3_n_r
struct[0].g[49,0] = i_R2_a_i + 105.57176931318*v_R1_a_i - 54.0657727682604*v_R1_a_r - 39.6392229058202*v_R1_b_i + 10.2713736253513*v_R1_b_r - 24.9575997948692*v_R1_c_i + 23.284964480954*v_R1_c_r - 39.6392229058202*v_R1_n_i + 10.2713736253513*v_R1_n_r - 211.14353862636*v_R2_a_i + 108.131545536521*v_R2_a_r + 79.2784458116403*v_R2_b_i - 20.5427472507027*v_R2_b_r + 49.9151995897384*v_R2_c_i - 46.569928961908*v_R2_c_r + 79.2784458116403*v_R2_n_i - 20.5427472507027*v_R2_n_r + 105.57176931318*v_R3_a_i - 54.0657727682604*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r - 24.9575997948692*v_R3_c_i + 23.284964480954*v_R3_c_r - 39.6392229058202*v_R3_n_i + 10.2713736253513*v_R3_n_r
struct[0].g[50,0] = i_R2_b_r - 10.2713736253513*v_R1_a_i - 39.6392229058202*v_R1_a_r + 54.0657727682604*v_R1_b_i + 105.57176931318*v_R1_b_r - 10.2713736253513*v_R1_c_i - 39.6392229058201*v_R1_c_r - 23.284964480954*v_R1_n_i - 24.9575997948692*v_R1_n_r + 20.5427472507027*v_R2_a_i + 79.2784458116403*v_R2_a_r - 108.131545536521*v_R2_b_i - 211.14353862636*v_R2_b_r + 20.5427472507027*v_R2_c_i + 79.2784458116403*v_R2_c_r + 46.569928961908*v_R2_n_i + 49.9151995897384*v_R2_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r + 54.0657727682604*v_R3_b_i + 105.57176931318*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058201*v_R3_c_r - 23.284964480954*v_R3_n_i - 24.9575997948692*v_R3_n_r
struct[0].g[51,0] = i_R2_b_i - 39.6392229058202*v_R1_a_i + 10.2713736253513*v_R1_a_r + 105.57176931318*v_R1_b_i - 54.0657727682604*v_R1_b_r - 39.6392229058201*v_R1_c_i + 10.2713736253513*v_R1_c_r - 24.9575997948692*v_R1_n_i + 23.284964480954*v_R1_n_r + 79.2784458116403*v_R2_a_i - 20.5427472507027*v_R2_a_r - 211.14353862636*v_R2_b_i + 108.131545536521*v_R2_b_r + 79.2784458116403*v_R2_c_i - 20.5427472507027*v_R2_c_r + 49.9151995897384*v_R2_n_i - 46.569928961908*v_R2_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r + 105.57176931318*v_R3_b_i - 54.0657727682604*v_R3_b_r - 39.6392229058201*v_R3_c_i + 10.2713736253513*v_R3_c_r - 24.9575997948692*v_R3_n_i + 23.284964480954*v_R3_n_r
struct[0].g[52,0] = i_R2_c_r - 23.284964480954*v_R1_a_i - 24.9575997948692*v_R1_a_r - 10.2713736253513*v_R1_b_i - 39.6392229058202*v_R1_b_r + 54.0657727682604*v_R1_c_i + 105.57176931318*v_R1_c_r - 10.2713736253514*v_R1_n_i - 39.6392229058201*v_R1_n_r + 46.569928961908*v_R2_a_i + 49.9151995897384*v_R2_a_r + 20.5427472507027*v_R2_b_i + 79.2784458116404*v_R2_b_r - 108.131545536521*v_R2_c_i - 211.14353862636*v_R2_c_r + 20.5427472507027*v_R2_n_i + 79.2784458116403*v_R2_n_r - 23.284964480954*v_R3_a_i - 24.9575997948692*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r + 54.0657727682604*v_R3_c_i + 105.57176931318*v_R3_c_r - 10.2713736253514*v_R3_n_i - 39.6392229058201*v_R3_n_r
struct[0].g[53,0] = i_R2_c_i - 24.9575997948692*v_R1_a_i + 23.284964480954*v_R1_a_r - 39.6392229058202*v_R1_b_i + 10.2713736253513*v_R1_b_r + 105.57176931318*v_R1_c_i - 54.0657727682604*v_R1_c_r - 39.6392229058201*v_R1_n_i + 10.2713736253514*v_R1_n_r + 49.9151995897384*v_R2_a_i - 46.569928961908*v_R2_a_r + 79.2784458116404*v_R2_b_i - 20.5427472507027*v_R2_b_r - 211.14353862636*v_R2_c_i + 108.131545536521*v_R2_c_r + 79.2784458116403*v_R2_n_i - 20.5427472507027*v_R2_n_r - 24.9575997948692*v_R3_a_i + 23.284964480954*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r + 105.57176931318*v_R3_c_i - 54.0657727682604*v_R3_c_r - 39.6392229058201*v_R3_n_i + 10.2713736253514*v_R3_n_r
struct[0].g[54,0] = i_R2_n_r - 10.2713736253513*v_R1_a_i - 39.6392229058202*v_R1_a_r - 23.284964480954*v_R1_b_i - 24.9575997948692*v_R1_b_r - 10.2713736253513*v_R1_c_i - 39.6392229058202*v_R1_c_r + 54.0657727682604*v_R1_n_i + 105.57176931318*v_R1_n_r + 20.5427472507027*v_R2_a_i + 79.2784458116403*v_R2_a_r + 46.569928961908*v_R2_b_i + 49.9151995897384*v_R2_b_r + 20.5427472507027*v_R2_c_i + 79.2784458116403*v_R2_c_r - 108.131545536521*v_R2_n_i - 211.16853862636*v_R2_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r - 23.284964480954*v_R3_b_i - 24.9575997948692*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058202*v_R3_c_r + 54.0657727682604*v_R3_n_i + 105.57176931318*v_R3_n_r
struct[0].g[55,0] = i_R2_n_i - 39.6392229058202*v_R1_a_i + 10.2713736253513*v_R1_a_r - 24.9575997948692*v_R1_b_i + 23.284964480954*v_R1_b_r - 39.6392229058202*v_R1_c_i + 10.2713736253513*v_R1_c_r + 105.57176931318*v_R1_n_i - 54.0657727682604*v_R1_n_r + 79.2784458116403*v_R2_a_i - 20.5427472507027*v_R2_a_r + 49.9151995897384*v_R2_b_i - 46.569928961908*v_R2_b_r + 79.2784458116403*v_R2_c_i - 20.5427472507027*v_R2_c_r - 211.16853862636*v_R2_n_i + 108.131545536521*v_R2_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r - 24.9575997948692*v_R3_b_i + 23.284964480954*v_R3_b_r - 39.6392229058202*v_R3_c_i + 10.2713736253513*v_R3_c_r + 105.57176931318*v_R3_n_i - 54.0657727682604*v_R3_n_r
struct[0].g[56,0] = i_R3_a_r + 4.84676915585801*v_R11_a_i + 26.5300693004806*v_R11_a_r + 1.58482814504483*v_R11_b_i - 7.8946133751477*v_R11_b_r + 0.67991845328531*v_R11_c_i - 7.72144347466701*v_R11_c_r + 1.58482814504483*v_R11_n_i - 7.89461337514771*v_R11_n_r + 54.0657727682604*v_R2_a_i + 105.57176931318*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r - 23.284964480954*v_R2_c_i - 24.9575997948692*v_R2_c_r - 10.2713736253513*v_R2_n_i - 39.6392229058202*v_R2_n_r - 112.978314692379*v_R3_a_i - 237.673607926841*v_R3_a_r + 18.9579191056578*v_R3_b_i + 87.173059186788*v_R3_b_r + 45.8900105086227*v_R3_c_i + 57.6366430644055*v_R3_c_r + 18.9579191056579*v_R3_n_i + 87.173059186788*v_R3_n_r + 54.0657727682604*v_R4_a_i + 105.57176931318*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r - 23.284964480954*v_R4_c_i - 24.9575997948692*v_R4_c_r - 10.2713736253513*v_R4_n_i - 39.6392229058202*v_R4_n_r
struct[0].g[57,0] = i_R3_a_i + 26.5300693004806*v_R11_a_i - 4.84676915585801*v_R11_a_r - 7.8946133751477*v_R11_b_i - 1.58482814504483*v_R11_b_r - 7.72144347466701*v_R11_c_i - 0.67991845328531*v_R11_c_r - 7.89461337514771*v_R11_n_i - 1.58482814504483*v_R11_n_r + 105.57176931318*v_R2_a_i - 54.0657727682604*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r - 24.9575997948692*v_R2_c_i + 23.284964480954*v_R2_c_r - 39.6392229058202*v_R2_n_i + 10.2713736253513*v_R2_n_r - 237.673607926841*v_R3_a_i + 112.978314692379*v_R3_a_r + 87.173059186788*v_R3_b_i - 18.9579191056578*v_R3_b_r + 57.6366430644055*v_R3_c_i - 45.8900105086227*v_R3_c_r + 87.173059186788*v_R3_n_i - 18.9579191056579*v_R3_n_r + 105.57176931318*v_R4_a_i - 54.0657727682604*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r - 24.9575997948692*v_R4_c_i + 23.284964480954*v_R4_c_r - 39.6392229058202*v_R4_n_i + 10.2713736253513*v_R4_n_r
struct[0].g[58,0] = i_R3_b_r + 1.58482814504483*v_R11_a_i - 7.89461337514771*v_R11_a_r + 4.84676915585801*v_R11_b_i + 26.5300693004806*v_R11_b_r + 1.58482814504483*v_R11_c_i - 7.89461337514771*v_R11_c_r + 0.679918453285308*v_R11_n_i - 7.72144347466701*v_R11_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r + 54.0657727682604*v_R2_b_i + 105.57176931318*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058201*v_R2_c_r - 23.284964480954*v_R2_n_i - 24.9575997948692*v_R2_n_r + 18.9579191056579*v_R3_a_i + 87.173059186788*v_R3_a_r - 112.978314692379*v_R3_b_i - 237.673607926841*v_R3_b_r + 18.9579191056579*v_R3_c_i + 87.173059186788*v_R3_c_r + 45.8900105086227*v_R3_n_i + 57.6366430644054*v_R3_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r + 54.0657727682604*v_R4_b_i + 105.57176931318*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058201*v_R4_c_r - 23.284964480954*v_R4_n_i - 24.9575997948692*v_R4_n_r
struct[0].g[59,0] = i_R3_b_i - 7.89461337514771*v_R11_a_i - 1.58482814504483*v_R11_a_r + 26.5300693004806*v_R11_b_i - 4.84676915585801*v_R11_b_r - 7.89461337514771*v_R11_c_i - 1.58482814504483*v_R11_c_r - 7.72144347466701*v_R11_n_i - 0.679918453285308*v_R11_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r + 105.57176931318*v_R2_b_i - 54.0657727682604*v_R2_b_r - 39.6392229058201*v_R2_c_i + 10.2713736253513*v_R2_c_r - 24.9575997948692*v_R2_n_i + 23.284964480954*v_R2_n_r + 87.173059186788*v_R3_a_i - 18.9579191056579*v_R3_a_r - 237.673607926841*v_R3_b_i + 112.978314692379*v_R3_b_r + 87.173059186788*v_R3_c_i - 18.9579191056579*v_R3_c_r + 57.6366430644054*v_R3_n_i - 45.8900105086227*v_R3_n_r - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r + 105.57176931318*v_R4_b_i - 54.0657727682604*v_R4_b_r - 39.6392229058201*v_R4_c_i + 10.2713736253513*v_R4_c_r - 24.9575997948692*v_R4_n_i + 23.284964480954*v_R4_n_r
struct[0].g[60,0] = i_R3_c_r + 0.67991845328531*v_R11_a_i - 7.72144347466701*v_R11_a_r + 1.58482814504483*v_R11_b_i - 7.8946133751477*v_R11_b_r + 4.84676915585801*v_R11_c_i + 26.5300693004806*v_R11_c_r + 1.58482814504483*v_R11_n_i - 7.89461337514771*v_R11_n_r - 23.284964480954*v_R2_a_i - 24.9575997948692*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r + 54.0657727682604*v_R2_c_i + 105.57176931318*v_R2_c_r - 10.2713736253514*v_R2_n_i - 39.6392229058201*v_R2_n_r + 45.8900105086227*v_R3_a_i + 57.6366430644054*v_R3_a_r + 18.9579191056578*v_R3_b_i + 87.1730591867881*v_R3_b_r - 112.978314692379*v_R3_c_i - 237.673607926841*v_R3_c_r + 18.9579191056579*v_R3_n_i + 87.173059186788*v_R3_n_r - 23.284964480954*v_R4_a_i - 24.9575997948692*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r + 54.0657727682604*v_R4_c_i + 105.57176931318*v_R4_c_r - 10.2713736253514*v_R4_n_i - 39.6392229058201*v_R4_n_r
struct[0].g[61,0] = i_R3_c_i - 7.72144347466701*v_R11_a_i - 0.67991845328531*v_R11_a_r - 7.8946133751477*v_R11_b_i - 1.58482814504483*v_R11_b_r + 26.5300693004806*v_R11_c_i - 4.84676915585801*v_R11_c_r - 7.89461337514771*v_R11_n_i - 1.58482814504483*v_R11_n_r - 24.9575997948692*v_R2_a_i + 23.284964480954*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r + 105.57176931318*v_R2_c_i - 54.0657727682604*v_R2_c_r - 39.6392229058201*v_R2_n_i + 10.2713736253514*v_R2_n_r + 57.6366430644054*v_R3_a_i - 45.8900105086227*v_R3_a_r + 87.1730591867881*v_R3_b_i - 18.9579191056578*v_R3_b_r - 237.673607926841*v_R3_c_i + 112.978314692379*v_R3_c_r + 87.173059186788*v_R3_n_i - 18.9579191056579*v_R3_n_r - 24.9575997948692*v_R4_a_i + 23.284964480954*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r + 105.57176931318*v_R4_c_i - 54.0657727682604*v_R4_c_r - 39.6392229058201*v_R4_n_i + 10.2713736253514*v_R4_n_r
struct[0].g[62,0] = i_R3_n_r + 1.58482814504483*v_R11_a_i - 7.89461337514771*v_R11_a_r + 0.679918453285308*v_R11_b_i - 7.72144347466701*v_R11_b_r + 1.58482814504483*v_R11_c_i - 7.89461337514771*v_R11_c_r + 4.84676915585801*v_R11_n_i + 26.5300693004806*v_R11_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r - 23.284964480954*v_R2_b_i - 24.9575997948692*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058202*v_R2_c_r + 54.0657727682604*v_R2_n_i + 105.57176931318*v_R2_n_r + 18.9579191056578*v_R3_a_i + 87.173059186788*v_R3_a_r + 45.8900105086227*v_R3_b_i + 57.6366430644054*v_R3_b_r + 18.9579191056579*v_R3_c_i + 87.173059186788*v_R3_c_r - 112.978314692379*v_R3_n_i - 237.673607926841*v_R3_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r - 23.284964480954*v_R4_b_i - 24.9575997948692*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058202*v_R4_c_r + 54.0657727682604*v_R4_n_i + 105.57176931318*v_R4_n_r
struct[0].g[63,0] = i_R3_n_i - 7.89461337514771*v_R11_a_i - 1.58482814504483*v_R11_a_r - 7.72144347466701*v_R11_b_i - 0.679918453285308*v_R11_b_r - 7.89461337514771*v_R11_c_i - 1.58482814504483*v_R11_c_r + 26.5300693004806*v_R11_n_i - 4.84676915585801*v_R11_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r - 24.9575997948692*v_R2_b_i + 23.284964480954*v_R2_b_r - 39.6392229058202*v_R2_c_i + 10.2713736253513*v_R2_c_r + 105.57176931318*v_R2_n_i - 54.0657727682604*v_R2_n_r + 87.173059186788*v_R3_a_i - 18.9579191056578*v_R3_a_r + 57.6366430644054*v_R3_b_i - 45.8900105086227*v_R3_b_r + 87.173059186788*v_R3_c_i - 18.9579191056579*v_R3_c_r - 237.673607926841*v_R3_n_i + 112.978314692379*v_R3_n_r - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r - 24.9575997948692*v_R4_b_i + 23.284964480954*v_R4_b_r - 39.6392229058202*v_R4_c_i + 10.2713736253513*v_R4_c_r + 105.57176931318*v_R4_n_i - 54.0657727682604*v_R4_n_r
struct[0].g[64,0] = i_R4_a_r + 4.84676915585801*v_R12_a_i + 26.5300693004806*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 0.67991845328531*v_R12_c_i - 7.72144347466701*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r + 54.0657727682604*v_R3_a_i + 105.57176931318*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r - 23.284964480954*v_R3_c_i - 24.9575997948692*v_R3_c_r - 10.2713736253513*v_R3_n_i - 39.6392229058202*v_R3_n_r - 112.978314692379*v_R4_a_i - 237.673607926841*v_R4_a_r + 18.9579191056578*v_R4_b_i + 87.173059186788*v_R4_b_r + 45.8900105086227*v_R4_c_i + 57.6366430644055*v_R4_c_r + 18.9579191056579*v_R4_n_i + 87.173059186788*v_R4_n_r + 54.0657727682604*v_R5_a_i + 105.57176931318*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r - 23.284964480954*v_R5_c_i - 24.9575997948692*v_R5_c_r - 10.2713736253513*v_R5_n_i - 39.6392229058202*v_R5_n_r
struct[0].g[65,0] = i_R4_a_i + 26.5300693004806*v_R12_a_i - 4.84676915585801*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r - 7.72144347466701*v_R12_c_i - 0.67991845328531*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r + 105.57176931318*v_R3_a_i - 54.0657727682604*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r - 24.9575997948692*v_R3_c_i + 23.284964480954*v_R3_c_r - 39.6392229058202*v_R3_n_i + 10.2713736253513*v_R3_n_r - 237.673607926841*v_R4_a_i + 112.978314692379*v_R4_a_r + 87.173059186788*v_R4_b_i - 18.9579191056578*v_R4_b_r + 57.6366430644055*v_R4_c_i - 45.8900105086227*v_R4_c_r + 87.173059186788*v_R4_n_i - 18.9579191056579*v_R4_n_r + 105.57176931318*v_R5_a_i - 54.0657727682604*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r - 24.9575997948692*v_R5_c_i + 23.284964480954*v_R5_c_r - 39.6392229058202*v_R5_n_i + 10.2713736253513*v_R5_n_r
struct[0].g[66,0] = i_R4_b_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 4.84676915585801*v_R12_b_i + 26.5300693004806*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 0.679918453285308*v_R12_n_i - 7.72144347466701*v_R12_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r + 54.0657727682604*v_R3_b_i + 105.57176931318*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058201*v_R3_c_r - 23.284964480954*v_R3_n_i - 24.9575997948692*v_R3_n_r + 18.9579191056579*v_R4_a_i + 87.173059186788*v_R4_a_r - 112.978314692379*v_R4_b_i - 237.673607926841*v_R4_b_r + 18.9579191056579*v_R4_c_i + 87.173059186788*v_R4_c_r + 45.8900105086227*v_R4_n_i + 57.6366430644054*v_R4_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r + 54.0657727682604*v_R5_b_i + 105.57176931318*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058201*v_R5_c_r - 23.284964480954*v_R5_n_i - 24.9575997948692*v_R5_n_r
struct[0].g[67,0] = i_R4_b_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r + 26.5300693004806*v_R12_b_i - 4.84676915585801*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r - 7.72144347466701*v_R12_n_i - 0.679918453285308*v_R12_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r + 105.57176931318*v_R3_b_i - 54.0657727682604*v_R3_b_r - 39.6392229058201*v_R3_c_i + 10.2713736253513*v_R3_c_r - 24.9575997948692*v_R3_n_i + 23.284964480954*v_R3_n_r + 87.173059186788*v_R4_a_i - 18.9579191056579*v_R4_a_r - 237.673607926841*v_R4_b_i + 112.978314692379*v_R4_b_r + 87.173059186788*v_R4_c_i - 18.9579191056579*v_R4_c_r + 57.6366430644054*v_R4_n_i - 45.8900105086227*v_R4_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r + 105.57176931318*v_R5_b_i - 54.0657727682604*v_R5_b_r - 39.6392229058201*v_R5_c_i + 10.2713736253513*v_R5_c_r - 24.9575997948692*v_R5_n_i + 23.284964480954*v_R5_n_r
struct[0].g[68,0] = i_R4_c_r + 0.67991845328531*v_R12_a_i - 7.72144347466701*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 4.84676915585801*v_R12_c_i + 26.5300693004806*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 23.284964480954*v_R3_a_i - 24.9575997948692*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r + 54.0657727682604*v_R3_c_i + 105.57176931318*v_R3_c_r - 10.2713736253514*v_R3_n_i - 39.6392229058201*v_R3_n_r + 45.8900105086227*v_R4_a_i + 57.6366430644054*v_R4_a_r + 18.9579191056578*v_R4_b_i + 87.1730591867881*v_R4_b_r - 112.978314692379*v_R4_c_i - 237.673607926841*v_R4_c_r + 18.9579191056579*v_R4_n_i + 87.173059186788*v_R4_n_r - 23.284964480954*v_R5_a_i - 24.9575997948692*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r + 54.0657727682604*v_R5_c_i + 105.57176931318*v_R5_c_r - 10.2713736253514*v_R5_n_i - 39.6392229058201*v_R5_n_r
struct[0].g[69,0] = i_R4_c_i - 7.72144347466701*v_R12_a_i - 0.67991845328531*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r + 26.5300693004806*v_R12_c_i - 4.84676915585801*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r - 24.9575997948692*v_R3_a_i + 23.284964480954*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r + 105.57176931318*v_R3_c_i - 54.0657727682604*v_R3_c_r - 39.6392229058201*v_R3_n_i + 10.2713736253514*v_R3_n_r + 57.6366430644054*v_R4_a_i - 45.8900105086227*v_R4_a_r + 87.1730591867881*v_R4_b_i - 18.9579191056578*v_R4_b_r - 237.673607926841*v_R4_c_i + 112.978314692379*v_R4_c_r + 87.173059186788*v_R4_n_i - 18.9579191056579*v_R4_n_r - 24.9575997948692*v_R5_a_i + 23.284964480954*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r + 105.57176931318*v_R5_c_i - 54.0657727682604*v_R5_c_r - 39.6392229058201*v_R5_n_i + 10.2713736253514*v_R5_n_r
struct[0].g[70,0] = i_R4_n_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 0.679918453285308*v_R12_b_i - 7.72144347466701*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 4.84676915585801*v_R12_n_i + 26.5300693004806*v_R12_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r - 23.284964480954*v_R3_b_i - 24.9575997948692*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058202*v_R3_c_r + 54.0657727682604*v_R3_n_i + 105.57176931318*v_R3_n_r + 18.9579191056578*v_R4_a_i + 87.173059186788*v_R4_a_r + 45.8900105086227*v_R4_b_i + 57.6366430644054*v_R4_b_r + 18.9579191056579*v_R4_c_i + 87.173059186788*v_R4_c_r - 112.978314692379*v_R4_n_i - 237.698607926841*v_R4_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r - 23.284964480954*v_R5_b_i - 24.9575997948692*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058202*v_R5_c_r + 54.0657727682604*v_R5_n_i + 105.57176931318*v_R5_n_r
struct[0].g[71,0] = i_R4_n_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r - 7.72144347466701*v_R12_b_i - 0.679918453285308*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r + 26.5300693004806*v_R12_n_i - 4.84676915585801*v_R12_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r - 24.9575997948692*v_R3_b_i + 23.284964480954*v_R3_b_r - 39.6392229058202*v_R3_c_i + 10.2713736253513*v_R3_c_r + 105.57176931318*v_R3_n_i - 54.0657727682604*v_R3_n_r + 87.173059186788*v_R4_a_i - 18.9579191056578*v_R4_a_r + 57.6366430644054*v_R4_b_i - 45.8900105086227*v_R4_b_r + 87.173059186788*v_R4_c_i - 18.9579191056579*v_R4_c_r - 237.698607926841*v_R4_n_i + 112.978314692379*v_R4_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r - 24.9575997948692*v_R5_b_i + 23.284964480954*v_R5_b_r - 39.6392229058202*v_R5_c_i + 10.2713736253513*v_R5_c_r + 105.57176931318*v_R5_n_i - 54.0657727682604*v_R5_n_r
struct[0].g[72,0] = i_R5_a_r + 54.0657727682604*v_R4_a_i + 105.57176931318*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r - 23.284964480954*v_R4_c_i - 24.9575997948692*v_R4_c_r - 10.2713736253513*v_R4_n_i - 39.6392229058202*v_R4_n_r - 108.131545536521*v_R5_a_i - 211.14353862636*v_R5_a_r + 20.5427472507027*v_R5_b_i + 79.2784458116403*v_R5_b_r + 46.569928961908*v_R5_c_i + 49.9151995897384*v_R5_c_r + 20.5427472507027*v_R5_n_i + 79.2784458116403*v_R5_n_r + 54.0657727682604*v_R6_a_i + 105.57176931318*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r - 23.284964480954*v_R6_c_i - 24.9575997948692*v_R6_c_r - 10.2713736253513*v_R6_n_i - 39.6392229058202*v_R6_n_r
struct[0].g[73,0] = i_R5_a_i + 105.57176931318*v_R4_a_i - 54.0657727682604*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r - 24.9575997948692*v_R4_c_i + 23.284964480954*v_R4_c_r - 39.6392229058202*v_R4_n_i + 10.2713736253513*v_R4_n_r - 211.14353862636*v_R5_a_i + 108.131545536521*v_R5_a_r + 79.2784458116403*v_R5_b_i - 20.5427472507027*v_R5_b_r + 49.9151995897384*v_R5_c_i - 46.569928961908*v_R5_c_r + 79.2784458116403*v_R5_n_i - 20.5427472507027*v_R5_n_r + 105.57176931318*v_R6_a_i - 54.0657727682604*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r - 24.9575997948692*v_R6_c_i + 23.284964480954*v_R6_c_r - 39.6392229058202*v_R6_n_i + 10.2713736253513*v_R6_n_r
struct[0].g[74,0] = i_R5_b_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r + 54.0657727682604*v_R4_b_i + 105.57176931318*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058201*v_R4_c_r - 23.284964480954*v_R4_n_i - 24.9575997948692*v_R4_n_r + 20.5427472507027*v_R5_a_i + 79.2784458116403*v_R5_a_r - 108.131545536521*v_R5_b_i - 211.14353862636*v_R5_b_r + 20.5427472507027*v_R5_c_i + 79.2784458116403*v_R5_c_r + 46.569928961908*v_R5_n_i + 49.9151995897384*v_R5_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r + 54.0657727682604*v_R6_b_i + 105.57176931318*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058201*v_R6_c_r - 23.284964480954*v_R6_n_i - 24.9575997948692*v_R6_n_r
struct[0].g[75,0] = i_R5_b_i - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r + 105.57176931318*v_R4_b_i - 54.0657727682604*v_R4_b_r - 39.6392229058201*v_R4_c_i + 10.2713736253513*v_R4_c_r - 24.9575997948692*v_R4_n_i + 23.284964480954*v_R4_n_r + 79.2784458116403*v_R5_a_i - 20.5427472507027*v_R5_a_r - 211.14353862636*v_R5_b_i + 108.131545536521*v_R5_b_r + 79.2784458116403*v_R5_c_i - 20.5427472507027*v_R5_c_r + 49.9151995897384*v_R5_n_i - 46.569928961908*v_R5_n_r - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r + 105.57176931318*v_R6_b_i - 54.0657727682604*v_R6_b_r - 39.6392229058201*v_R6_c_i + 10.2713736253513*v_R6_c_r - 24.9575997948692*v_R6_n_i + 23.284964480954*v_R6_n_r
struct[0].g[76,0] = i_R5_c_r - 23.284964480954*v_R4_a_i - 24.9575997948692*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r + 54.0657727682604*v_R4_c_i + 105.57176931318*v_R4_c_r - 10.2713736253514*v_R4_n_i - 39.6392229058201*v_R4_n_r + 46.569928961908*v_R5_a_i + 49.9151995897384*v_R5_a_r + 20.5427472507027*v_R5_b_i + 79.2784458116404*v_R5_b_r - 108.131545536521*v_R5_c_i - 211.14353862636*v_R5_c_r + 20.5427472507027*v_R5_n_i + 79.2784458116403*v_R5_n_r - 23.284964480954*v_R6_a_i - 24.9575997948692*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r + 54.0657727682604*v_R6_c_i + 105.57176931318*v_R6_c_r - 10.2713736253514*v_R6_n_i - 39.6392229058201*v_R6_n_r
struct[0].g[77,0] = i_R5_c_i - 24.9575997948692*v_R4_a_i + 23.284964480954*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r + 105.57176931318*v_R4_c_i - 54.0657727682604*v_R4_c_r - 39.6392229058201*v_R4_n_i + 10.2713736253514*v_R4_n_r + 49.9151995897384*v_R5_a_i - 46.569928961908*v_R5_a_r + 79.2784458116404*v_R5_b_i - 20.5427472507027*v_R5_b_r - 211.14353862636*v_R5_c_i + 108.131545536521*v_R5_c_r + 79.2784458116403*v_R5_n_i - 20.5427472507027*v_R5_n_r - 24.9575997948692*v_R6_a_i + 23.284964480954*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r + 105.57176931318*v_R6_c_i - 54.0657727682604*v_R6_c_r - 39.6392229058201*v_R6_n_i + 10.2713736253514*v_R6_n_r
struct[0].g[78,0] = i_R5_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r - 23.284964480954*v_R4_b_i - 24.9575997948692*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058202*v_R4_c_r + 54.0657727682604*v_R4_n_i + 105.57176931318*v_R4_n_r + 20.5427472507027*v_R5_a_i + 79.2784458116403*v_R5_a_r + 46.569928961908*v_R5_b_i + 49.9151995897384*v_R5_b_r + 20.5427472507027*v_R5_c_i + 79.2784458116403*v_R5_c_r - 108.131545536521*v_R5_n_i - 211.14353862636*v_R5_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r - 23.284964480954*v_R6_b_i - 24.9575997948692*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058202*v_R6_c_r + 54.0657727682604*v_R6_n_i + 105.57176931318*v_R6_n_r
struct[0].g[79,0] = i_R5_n_i - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r - 24.9575997948692*v_R4_b_i + 23.284964480954*v_R4_b_r - 39.6392229058202*v_R4_c_i + 10.2713736253513*v_R4_c_r + 105.57176931318*v_R4_n_i - 54.0657727682604*v_R4_n_r + 79.2784458116403*v_R5_a_i - 20.5427472507027*v_R5_a_r + 49.9151995897384*v_R5_b_i - 46.569928961908*v_R5_b_r + 79.2784458116403*v_R5_c_i - 20.5427472507027*v_R5_c_r - 211.14353862636*v_R5_n_i + 108.131545536521*v_R5_n_r - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r - 24.9575997948692*v_R6_b_i + 23.284964480954*v_R6_b_r - 39.6392229058202*v_R6_c_i + 10.2713736253513*v_R6_c_r + 105.57176931318*v_R6_n_i - 54.0657727682604*v_R6_n_r
struct[0].g[80,0] = i_R6_a_r + 5.65456401516768*v_R16_a_i + 30.9517475172273*v_R16_a_r + 1.84896616921897*v_R16_b_i - 9.21038227100566*v_R16_b_r + 0.793238195499529*v_R16_c_i - 9.00835072044485*v_R16_c_r + 1.84896616921897*v_R16_n_i - 9.21038227100566*v_R16_n_r + 54.0657727682604*v_R5_a_i + 105.57176931318*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r - 23.284964480954*v_R5_c_i - 24.9575997948692*v_R5_c_r - 10.2713736253513*v_R5_n_i - 39.6392229058202*v_R5_n_r - 113.786109551688*v_R6_a_i - 242.095286143588*v_R6_a_r + 18.6937810814837*v_R6_b_i + 88.488828082646*v_R6_b_r + 45.7766907664085*v_R6_c_i + 58.9235503101833*v_R6_c_r + 18.6937810814837*v_R6_n_i + 88.488828082646*v_R6_n_r + 54.0657727682604*v_R7_a_i + 105.57176931318*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r - 23.284964480954*v_R7_c_i - 24.9575997948692*v_R7_c_r - 10.2713736253513*v_R7_n_i - 39.6392229058202*v_R7_n_r
struct[0].g[81,0] = i_R6_a_i + 30.9517475172273*v_R16_a_i - 5.65456401516768*v_R16_a_r - 9.21038227100566*v_R16_b_i - 1.84896616921897*v_R16_b_r - 9.00835072044485*v_R16_c_i - 0.793238195499529*v_R16_c_r - 9.21038227100566*v_R16_n_i - 1.84896616921897*v_R16_n_r + 105.57176931318*v_R5_a_i - 54.0657727682604*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r - 24.9575997948692*v_R5_c_i + 23.284964480954*v_R5_c_r - 39.6392229058202*v_R5_n_i + 10.2713736253513*v_R5_n_r - 242.095286143588*v_R6_a_i + 113.786109551688*v_R6_a_r + 88.488828082646*v_R6_b_i - 18.6937810814837*v_R6_b_r + 58.9235503101833*v_R6_c_i - 45.7766907664085*v_R6_c_r + 88.488828082646*v_R6_n_i - 18.6937810814837*v_R6_n_r + 105.57176931318*v_R7_a_i - 54.0657727682604*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r - 24.9575997948692*v_R7_c_i + 23.284964480954*v_R7_c_r - 39.6392229058202*v_R7_n_i + 10.2713736253513*v_R7_n_r
struct[0].g[82,0] = i_R6_b_r + 1.84896616921897*v_R16_a_i - 9.21038227100566*v_R16_a_r + 5.65456401516768*v_R16_b_i + 30.9517475172273*v_R16_b_r + 1.84896616921897*v_R16_c_i - 9.21038227100566*v_R16_c_r + 0.793238195499528*v_R16_n_i - 9.00835072044485*v_R16_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r + 54.0657727682604*v_R5_b_i + 105.57176931318*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058201*v_R5_c_r - 23.284964480954*v_R5_n_i - 24.9575997948692*v_R5_n_r + 18.6937810814837*v_R6_a_i + 88.488828082646*v_R6_a_r - 113.786109551688*v_R6_b_i - 242.095286143588*v_R6_b_r + 18.6937810814837*v_R6_c_i + 88.488828082646*v_R6_c_r + 45.7766907664085*v_R6_n_i + 58.9235503101833*v_R6_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r + 54.0657727682604*v_R7_b_i + 105.57176931318*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058201*v_R7_c_r - 23.284964480954*v_R7_n_i - 24.9575997948692*v_R7_n_r
struct[0].g[83,0] = i_R6_b_i - 9.21038227100566*v_R16_a_i - 1.84896616921897*v_R16_a_r + 30.9517475172273*v_R16_b_i - 5.65456401516768*v_R16_b_r - 9.21038227100566*v_R16_c_i - 1.84896616921897*v_R16_c_r - 9.00835072044485*v_R16_n_i - 0.793238195499528*v_R16_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r + 105.57176931318*v_R5_b_i - 54.0657727682604*v_R5_b_r - 39.6392229058201*v_R5_c_i + 10.2713736253513*v_R5_c_r - 24.9575997948692*v_R5_n_i + 23.284964480954*v_R5_n_r + 88.488828082646*v_R6_a_i - 18.6937810814837*v_R6_a_r - 242.095286143588*v_R6_b_i + 113.786109551688*v_R6_b_r + 88.488828082646*v_R6_c_i - 18.6937810814837*v_R6_c_r + 58.9235503101833*v_R6_n_i - 45.7766907664085*v_R6_n_r - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r + 105.57176931318*v_R7_b_i - 54.0657727682604*v_R7_b_r - 39.6392229058201*v_R7_c_i + 10.2713736253513*v_R7_c_r - 24.9575997948692*v_R7_n_i + 23.284964480954*v_R7_n_r
struct[0].g[84,0] = i_R6_c_r + 0.793238195499527*v_R16_a_i - 9.00835072044484*v_R16_a_r + 1.84896616921897*v_R16_b_i - 9.21038227100566*v_R16_b_r + 5.65456401516768*v_R16_c_i + 30.9517475172273*v_R16_c_r + 1.84896616921897*v_R16_n_i - 9.21038227100566*v_R16_n_r - 23.284964480954*v_R5_a_i - 24.9575997948692*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r + 54.0657727682604*v_R5_c_i + 105.57176931318*v_R5_c_r - 10.2713736253514*v_R5_n_i - 39.6392229058201*v_R5_n_r + 45.7766907664085*v_R6_a_i + 58.9235503101833*v_R6_a_r + 18.6937810814837*v_R6_b_i + 88.4888280826461*v_R6_b_r - 113.786109551688*v_R6_c_i - 242.095286143588*v_R6_c_r + 18.6937810814837*v_R6_n_i + 88.4888280826459*v_R6_n_r - 23.284964480954*v_R7_a_i - 24.9575997948692*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r + 54.0657727682604*v_R7_c_i + 105.57176931318*v_R7_c_r - 10.2713736253514*v_R7_n_i - 39.6392229058201*v_R7_n_r
struct[0].g[85,0] = i_R6_c_i - 9.00835072044484*v_R16_a_i - 0.793238195499527*v_R16_a_r - 9.21038227100566*v_R16_b_i - 1.84896616921897*v_R16_b_r + 30.9517475172273*v_R16_c_i - 5.65456401516768*v_R16_c_r - 9.21038227100566*v_R16_n_i - 1.84896616921897*v_R16_n_r - 24.9575997948692*v_R5_a_i + 23.284964480954*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r + 105.57176931318*v_R5_c_i - 54.0657727682604*v_R5_c_r - 39.6392229058201*v_R5_n_i + 10.2713736253514*v_R5_n_r + 58.9235503101833*v_R6_a_i - 45.7766907664085*v_R6_a_r + 88.4888280826461*v_R6_b_i - 18.6937810814837*v_R6_b_r - 242.095286143588*v_R6_c_i + 113.786109551688*v_R6_c_r + 88.4888280826459*v_R6_n_i - 18.6937810814837*v_R6_n_r - 24.9575997948692*v_R7_a_i + 23.284964480954*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r + 105.57176931318*v_R7_c_i - 54.0657727682604*v_R7_c_r - 39.6392229058201*v_R7_n_i + 10.2713736253514*v_R7_n_r
struct[0].g[86,0] = i_R6_n_r + 1.84896616921897*v_R16_a_i - 9.21038227100566*v_R16_a_r + 0.793238195499527*v_R16_b_i - 9.00835072044485*v_R16_b_r + 1.84896616921897*v_R16_c_i - 9.21038227100566*v_R16_c_r + 5.65456401516768*v_R16_n_i + 30.9517475172273*v_R16_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r - 23.284964480954*v_R5_b_i - 24.9575997948692*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058202*v_R5_c_r + 54.0657727682604*v_R5_n_i + 105.57176931318*v_R5_n_r + 18.6937810814837*v_R6_a_i + 88.488828082646*v_R6_a_r + 45.7766907664085*v_R6_b_i + 58.9235503101832*v_R6_b_r + 18.6937810814837*v_R6_c_i + 88.488828082646*v_R6_c_r - 113.786109551688*v_R6_n_i - 242.120286143588*v_R6_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r - 23.284964480954*v_R7_b_i - 24.9575997948692*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058202*v_R7_c_r + 54.0657727682604*v_R7_n_i + 105.57176931318*v_R7_n_r
struct[0].g[87,0] = i_R6_n_i - 9.21038227100566*v_R16_a_i - 1.84896616921897*v_R16_a_r - 9.00835072044485*v_R16_b_i - 0.793238195499527*v_R16_b_r - 9.21038227100566*v_R16_c_i - 1.84896616921897*v_R16_c_r + 30.9517475172273*v_R16_n_i - 5.65456401516768*v_R16_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r - 24.9575997948692*v_R5_b_i + 23.284964480954*v_R5_b_r - 39.6392229058202*v_R5_c_i + 10.2713736253513*v_R5_c_r + 105.57176931318*v_R5_n_i - 54.0657727682604*v_R5_n_r + 88.488828082646*v_R6_a_i - 18.6937810814837*v_R6_a_r + 58.9235503101832*v_R6_b_i - 45.7766907664085*v_R6_b_r + 88.488828082646*v_R6_c_i - 18.6937810814837*v_R6_c_r - 242.120286143588*v_R6_n_i + 113.786109551688*v_R6_n_r - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r - 24.9575997948692*v_R7_b_i + 23.284964480954*v_R7_b_r - 39.6392229058202*v_R7_c_i + 10.2713736253513*v_R7_c_r + 105.57176931318*v_R7_n_i - 54.0657727682604*v_R7_n_r
struct[0].g[88,0] = i_R7_a_r + 54.0657727682604*v_R6_a_i + 105.57176931318*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r - 23.284964480954*v_R6_c_i - 24.9575997948692*v_R6_c_r - 10.2713736253513*v_R6_n_i - 39.6392229058202*v_R6_n_r - 108.131545536521*v_R7_a_i - 211.14353862636*v_R7_a_r + 20.5427472507027*v_R7_b_i + 79.2784458116403*v_R7_b_r + 46.569928961908*v_R7_c_i + 49.9151995897384*v_R7_c_r + 20.5427472507027*v_R7_n_i + 79.2784458116403*v_R7_n_r + 54.0657727682604*v_R8_a_i + 105.57176931318*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r - 23.284964480954*v_R8_c_i - 24.9575997948692*v_R8_c_r - 10.2713736253513*v_R8_n_i - 39.6392229058202*v_R8_n_r
struct[0].g[89,0] = i_R7_a_i + 105.57176931318*v_R6_a_i - 54.0657727682604*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r - 24.9575997948692*v_R6_c_i + 23.284964480954*v_R6_c_r - 39.6392229058202*v_R6_n_i + 10.2713736253513*v_R6_n_r - 211.14353862636*v_R7_a_i + 108.131545536521*v_R7_a_r + 79.2784458116403*v_R7_b_i - 20.5427472507027*v_R7_b_r + 49.9151995897384*v_R7_c_i - 46.569928961908*v_R7_c_r + 79.2784458116403*v_R7_n_i - 20.5427472507027*v_R7_n_r + 105.57176931318*v_R8_a_i - 54.0657727682604*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r - 24.9575997948692*v_R8_c_i + 23.284964480954*v_R8_c_r - 39.6392229058202*v_R8_n_i + 10.2713736253513*v_R8_n_r
struct[0].g[90,0] = i_R7_b_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r + 54.0657727682604*v_R6_b_i + 105.57176931318*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058201*v_R6_c_r - 23.284964480954*v_R6_n_i - 24.9575997948692*v_R6_n_r + 20.5427472507027*v_R7_a_i + 79.2784458116403*v_R7_a_r - 108.131545536521*v_R7_b_i - 211.14353862636*v_R7_b_r + 20.5427472507027*v_R7_c_i + 79.2784458116403*v_R7_c_r + 46.569928961908*v_R7_n_i + 49.9151995897384*v_R7_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r + 54.0657727682604*v_R8_b_i + 105.57176931318*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058201*v_R8_c_r - 23.284964480954*v_R8_n_i - 24.9575997948692*v_R8_n_r
struct[0].g[91,0] = i_R7_b_i - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r + 105.57176931318*v_R6_b_i - 54.0657727682604*v_R6_b_r - 39.6392229058201*v_R6_c_i + 10.2713736253513*v_R6_c_r - 24.9575997948692*v_R6_n_i + 23.284964480954*v_R6_n_r + 79.2784458116403*v_R7_a_i - 20.5427472507027*v_R7_a_r - 211.14353862636*v_R7_b_i + 108.131545536521*v_R7_b_r + 79.2784458116403*v_R7_c_i - 20.5427472507027*v_R7_c_r + 49.9151995897384*v_R7_n_i - 46.569928961908*v_R7_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r + 105.57176931318*v_R8_b_i - 54.0657727682604*v_R8_b_r - 39.6392229058201*v_R8_c_i + 10.2713736253513*v_R8_c_r - 24.9575997948692*v_R8_n_i + 23.284964480954*v_R8_n_r
struct[0].g[92,0] = i_R7_c_r - 23.284964480954*v_R6_a_i - 24.9575997948692*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r + 54.0657727682604*v_R6_c_i + 105.57176931318*v_R6_c_r - 10.2713736253514*v_R6_n_i - 39.6392229058201*v_R6_n_r + 46.569928961908*v_R7_a_i + 49.9151995897384*v_R7_a_r + 20.5427472507027*v_R7_b_i + 79.2784458116404*v_R7_b_r - 108.131545536521*v_R7_c_i - 211.14353862636*v_R7_c_r + 20.5427472507027*v_R7_n_i + 79.2784458116403*v_R7_n_r - 23.284964480954*v_R8_a_i - 24.9575997948692*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r + 54.0657727682604*v_R8_c_i + 105.57176931318*v_R8_c_r - 10.2713736253514*v_R8_n_i - 39.6392229058201*v_R8_n_r
struct[0].g[93,0] = i_R7_c_i - 24.9575997948692*v_R6_a_i + 23.284964480954*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r + 105.57176931318*v_R6_c_i - 54.0657727682604*v_R6_c_r - 39.6392229058201*v_R6_n_i + 10.2713736253514*v_R6_n_r + 49.9151995897384*v_R7_a_i - 46.569928961908*v_R7_a_r + 79.2784458116404*v_R7_b_i - 20.5427472507027*v_R7_b_r - 211.14353862636*v_R7_c_i + 108.131545536521*v_R7_c_r + 79.2784458116403*v_R7_n_i - 20.5427472507027*v_R7_n_r - 24.9575997948692*v_R8_a_i + 23.284964480954*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r + 105.57176931318*v_R8_c_i - 54.0657727682604*v_R8_c_r - 39.6392229058201*v_R8_n_i + 10.2713736253514*v_R8_n_r
struct[0].g[94,0] = i_R7_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r - 23.284964480954*v_R6_b_i - 24.9575997948692*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058202*v_R6_c_r + 54.0657727682604*v_R6_n_i + 105.57176931318*v_R6_n_r + 20.5427472507027*v_R7_a_i + 79.2784458116403*v_R7_a_r + 46.569928961908*v_R7_b_i + 49.9151995897384*v_R7_b_r + 20.5427472507027*v_R7_c_i + 79.2784458116403*v_R7_c_r - 108.131545536521*v_R7_n_i - 211.14353862636*v_R7_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r - 23.284964480954*v_R8_b_i - 24.9575997948692*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058202*v_R8_c_r + 54.0657727682604*v_R8_n_i + 105.57176931318*v_R8_n_r
struct[0].g[95,0] = i_R7_n_i - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r - 24.9575997948692*v_R6_b_i + 23.284964480954*v_R6_b_r - 39.6392229058202*v_R6_c_i + 10.2713736253513*v_R6_c_r + 105.57176931318*v_R6_n_i - 54.0657727682604*v_R6_n_r + 79.2784458116403*v_R7_a_i - 20.5427472507027*v_R7_a_r + 49.9151995897384*v_R7_b_i - 46.569928961908*v_R7_b_r + 79.2784458116403*v_R7_c_i - 20.5427472507027*v_R7_c_r - 211.14353862636*v_R7_n_i + 108.131545536521*v_R7_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r - 24.9575997948692*v_R8_b_i + 23.284964480954*v_R8_b_r - 39.6392229058202*v_R8_c_i + 10.2713736253513*v_R8_c_r + 105.57176931318*v_R8_n_i - 54.0657727682604*v_R8_n_r
struct[0].g[96,0] = i_R8_a_r + 54.0657727682604*v_R7_a_i + 105.57176931318*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r - 23.284964480954*v_R7_c_i - 24.9575997948692*v_R7_c_r - 10.2713736253513*v_R7_n_i - 39.6392229058202*v_R7_n_r - 108.131545536521*v_R8_a_i - 211.14353862636*v_R8_a_r + 20.5427472507027*v_R8_b_i + 79.2784458116403*v_R8_b_r + 46.569928961908*v_R8_c_i + 49.9151995897384*v_R8_c_r + 20.5427472507027*v_R8_n_i + 79.2784458116403*v_R8_n_r + 54.0657727682604*v_R9_a_i + 105.57176931318*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r - 23.284964480954*v_R9_c_i - 24.9575997948692*v_R9_c_r - 10.2713736253513*v_R9_n_i - 39.6392229058202*v_R9_n_r
struct[0].g[97,0] = i_R8_a_i + 105.57176931318*v_R7_a_i - 54.0657727682604*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r - 24.9575997948692*v_R7_c_i + 23.284964480954*v_R7_c_r - 39.6392229058202*v_R7_n_i + 10.2713736253513*v_R7_n_r - 211.14353862636*v_R8_a_i + 108.131545536521*v_R8_a_r + 79.2784458116403*v_R8_b_i - 20.5427472507027*v_R8_b_r + 49.9151995897384*v_R8_c_i - 46.569928961908*v_R8_c_r + 79.2784458116403*v_R8_n_i - 20.5427472507027*v_R8_n_r + 105.57176931318*v_R9_a_i - 54.0657727682604*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r - 24.9575997948692*v_R9_c_i + 23.284964480954*v_R9_c_r - 39.6392229058202*v_R9_n_i + 10.2713736253513*v_R9_n_r
struct[0].g[98,0] = i_R8_b_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r + 54.0657727682604*v_R7_b_i + 105.57176931318*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058201*v_R7_c_r - 23.284964480954*v_R7_n_i - 24.9575997948692*v_R7_n_r + 20.5427472507027*v_R8_a_i + 79.2784458116403*v_R8_a_r - 108.131545536521*v_R8_b_i - 211.14353862636*v_R8_b_r + 20.5427472507027*v_R8_c_i + 79.2784458116403*v_R8_c_r + 46.569928961908*v_R8_n_i + 49.9151995897384*v_R8_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r + 54.0657727682604*v_R9_b_i + 105.57176931318*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058201*v_R9_c_r - 23.284964480954*v_R9_n_i - 24.9575997948692*v_R9_n_r
struct[0].g[99,0] = i_R8_b_i - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r + 105.57176931318*v_R7_b_i - 54.0657727682604*v_R7_b_r - 39.6392229058201*v_R7_c_i + 10.2713736253513*v_R7_c_r - 24.9575997948692*v_R7_n_i + 23.284964480954*v_R7_n_r + 79.2784458116403*v_R8_a_i - 20.5427472507027*v_R8_a_r - 211.14353862636*v_R8_b_i + 108.131545536521*v_R8_b_r + 79.2784458116403*v_R8_c_i - 20.5427472507027*v_R8_c_r + 49.9151995897384*v_R8_n_i - 46.569928961908*v_R8_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r + 105.57176931318*v_R9_b_i - 54.0657727682604*v_R9_b_r - 39.6392229058201*v_R9_c_i + 10.2713736253513*v_R9_c_r - 24.9575997948692*v_R9_n_i + 23.284964480954*v_R9_n_r
struct[0].g[100,0] = i_R8_c_r - 23.284964480954*v_R7_a_i - 24.9575997948692*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r + 54.0657727682604*v_R7_c_i + 105.57176931318*v_R7_c_r - 10.2713736253514*v_R7_n_i - 39.6392229058201*v_R7_n_r + 46.569928961908*v_R8_a_i + 49.9151995897384*v_R8_a_r + 20.5427472507027*v_R8_b_i + 79.2784458116404*v_R8_b_r - 108.131545536521*v_R8_c_i - 211.14353862636*v_R8_c_r + 20.5427472507027*v_R8_n_i + 79.2784458116403*v_R8_n_r - 23.284964480954*v_R9_a_i - 24.9575997948692*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r + 54.0657727682604*v_R9_c_i + 105.57176931318*v_R9_c_r - 10.2713736253514*v_R9_n_i - 39.6392229058201*v_R9_n_r
struct[0].g[101,0] = i_R8_c_i - 24.9575997948692*v_R7_a_i + 23.284964480954*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r + 105.57176931318*v_R7_c_i - 54.0657727682604*v_R7_c_r - 39.6392229058201*v_R7_n_i + 10.2713736253514*v_R7_n_r + 49.9151995897384*v_R8_a_i - 46.569928961908*v_R8_a_r + 79.2784458116404*v_R8_b_i - 20.5427472507027*v_R8_b_r - 211.14353862636*v_R8_c_i + 108.131545536521*v_R8_c_r + 79.2784458116403*v_R8_n_i - 20.5427472507027*v_R8_n_r - 24.9575997948692*v_R9_a_i + 23.284964480954*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r + 105.57176931318*v_R9_c_i - 54.0657727682604*v_R9_c_r - 39.6392229058201*v_R9_n_i + 10.2713736253514*v_R9_n_r
struct[0].g[102,0] = i_R8_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r - 23.284964480954*v_R7_b_i - 24.9575997948692*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058202*v_R7_c_r + 54.0657727682604*v_R7_n_i + 105.57176931318*v_R7_n_r + 20.5427472507027*v_R8_a_i + 79.2784458116403*v_R8_a_r + 46.569928961908*v_R8_b_i + 49.9151995897384*v_R8_b_r + 20.5427472507027*v_R8_c_i + 79.2784458116403*v_R8_c_r - 108.131545536521*v_R8_n_i - 211.16853862636*v_R8_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r - 23.284964480954*v_R9_b_i - 24.9575997948692*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058202*v_R9_c_r + 54.0657727682604*v_R9_n_i + 105.57176931318*v_R9_n_r
struct[0].g[103,0] = i_R8_n_i - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r - 24.9575997948692*v_R7_b_i + 23.284964480954*v_R7_b_r - 39.6392229058202*v_R7_c_i + 10.2713736253513*v_R7_c_r + 105.57176931318*v_R7_n_i - 54.0657727682604*v_R7_n_r + 79.2784458116403*v_R8_a_i - 20.5427472507027*v_R8_a_r + 49.9151995897384*v_R8_b_i - 46.569928961908*v_R8_b_r + 79.2784458116403*v_R8_c_i - 20.5427472507027*v_R8_c_r - 211.16853862636*v_R8_n_i + 108.131545536521*v_R8_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r - 24.9575997948692*v_R9_b_i + 23.284964480954*v_R9_b_r - 39.6392229058202*v_R9_c_i + 10.2713736253513*v_R9_c_r + 105.57176931318*v_R9_n_i - 54.0657727682604*v_R9_n_r
struct[0].g[104,0] = i_R9_a_r + 54.0657727682604*v_R10_a_i + 105.57176931318*v_R10_a_r - 10.2713736253513*v_R10_b_i - 39.6392229058202*v_R10_b_r - 23.284964480954*v_R10_c_i - 24.9575997948692*v_R10_c_r - 10.2713736253513*v_R10_n_i - 39.6392229058202*v_R10_n_r + 5.65456401516768*v_R17_a_i + 30.9517475172273*v_R17_a_r + 1.84896616921897*v_R17_b_i - 9.21038227100566*v_R17_b_r + 0.793238195499529*v_R17_c_i - 9.00835072044485*v_R17_c_r + 1.84896616921897*v_R17_n_i - 9.21038227100566*v_R17_n_r + 54.0657727682604*v_R8_a_i + 105.57176931318*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r - 23.284964480954*v_R8_c_i - 24.9575997948692*v_R8_c_r - 10.2713736253513*v_R8_n_i - 39.6392229058202*v_R8_n_r - 113.786109551688*v_R9_a_i - 242.095286143588*v_R9_a_r + 18.6937810814837*v_R9_b_i + 88.488828082646*v_R9_b_r + 45.7766907664085*v_R9_c_i + 58.9235503101833*v_R9_c_r + 18.6937810814837*v_R9_n_i + 88.488828082646*v_R9_n_r
struct[0].g[105,0] = i_R9_a_i + 105.57176931318*v_R10_a_i - 54.0657727682604*v_R10_a_r - 39.6392229058202*v_R10_b_i + 10.2713736253513*v_R10_b_r - 24.9575997948692*v_R10_c_i + 23.284964480954*v_R10_c_r - 39.6392229058202*v_R10_n_i + 10.2713736253513*v_R10_n_r + 30.9517475172273*v_R17_a_i - 5.65456401516768*v_R17_a_r - 9.21038227100566*v_R17_b_i - 1.84896616921897*v_R17_b_r - 9.00835072044485*v_R17_c_i - 0.793238195499529*v_R17_c_r - 9.21038227100566*v_R17_n_i - 1.84896616921897*v_R17_n_r + 105.57176931318*v_R8_a_i - 54.0657727682604*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r - 24.9575997948692*v_R8_c_i + 23.284964480954*v_R8_c_r - 39.6392229058202*v_R8_n_i + 10.2713736253513*v_R8_n_r - 242.095286143588*v_R9_a_i + 113.786109551688*v_R9_a_r + 88.488828082646*v_R9_b_i - 18.6937810814837*v_R9_b_r + 58.9235503101833*v_R9_c_i - 45.7766907664085*v_R9_c_r + 88.488828082646*v_R9_n_i - 18.6937810814837*v_R9_n_r
struct[0].g[106,0] = i_R9_b_r - 10.2713736253513*v_R10_a_i - 39.6392229058202*v_R10_a_r + 54.0657727682604*v_R10_b_i + 105.57176931318*v_R10_b_r - 10.2713736253513*v_R10_c_i - 39.6392229058201*v_R10_c_r - 23.284964480954*v_R10_n_i - 24.9575997948692*v_R10_n_r + 1.84896616921897*v_R17_a_i - 9.21038227100566*v_R17_a_r + 5.65456401516768*v_R17_b_i + 30.9517475172273*v_R17_b_r + 1.84896616921897*v_R17_c_i - 9.21038227100566*v_R17_c_r + 0.793238195499528*v_R17_n_i - 9.00835072044485*v_R17_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r + 54.0657727682604*v_R8_b_i + 105.57176931318*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058201*v_R8_c_r - 23.284964480954*v_R8_n_i - 24.9575997948692*v_R8_n_r + 18.6937810814837*v_R9_a_i + 88.488828082646*v_R9_a_r - 113.786109551688*v_R9_b_i - 242.095286143588*v_R9_b_r + 18.6937810814837*v_R9_c_i + 88.488828082646*v_R9_c_r + 45.7766907664085*v_R9_n_i + 58.9235503101833*v_R9_n_r
struct[0].g[107,0] = i_R9_b_i - 39.6392229058202*v_R10_a_i + 10.2713736253513*v_R10_a_r + 105.57176931318*v_R10_b_i - 54.0657727682604*v_R10_b_r - 39.6392229058201*v_R10_c_i + 10.2713736253513*v_R10_c_r - 24.9575997948692*v_R10_n_i + 23.284964480954*v_R10_n_r - 9.21038227100566*v_R17_a_i - 1.84896616921897*v_R17_a_r + 30.9517475172273*v_R17_b_i - 5.65456401516768*v_R17_b_r - 9.21038227100566*v_R17_c_i - 1.84896616921897*v_R17_c_r - 9.00835072044485*v_R17_n_i - 0.793238195499528*v_R17_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r + 105.57176931318*v_R8_b_i - 54.0657727682604*v_R8_b_r - 39.6392229058201*v_R8_c_i + 10.2713736253513*v_R8_c_r - 24.9575997948692*v_R8_n_i + 23.284964480954*v_R8_n_r + 88.488828082646*v_R9_a_i - 18.6937810814837*v_R9_a_r - 242.095286143588*v_R9_b_i + 113.786109551688*v_R9_b_r + 88.488828082646*v_R9_c_i - 18.6937810814837*v_R9_c_r + 58.9235503101833*v_R9_n_i - 45.7766907664085*v_R9_n_r
struct[0].g[108,0] = i_R9_c_r - 23.284964480954*v_R10_a_i - 24.9575997948692*v_R10_a_r - 10.2713736253513*v_R10_b_i - 39.6392229058202*v_R10_b_r + 54.0657727682604*v_R10_c_i + 105.57176931318*v_R10_c_r - 10.2713736253514*v_R10_n_i - 39.6392229058201*v_R10_n_r + 0.793238195499527*v_R17_a_i - 9.00835072044484*v_R17_a_r + 1.84896616921897*v_R17_b_i - 9.21038227100566*v_R17_b_r + 5.65456401516768*v_R17_c_i + 30.9517475172273*v_R17_c_r + 1.84896616921897*v_R17_n_i - 9.21038227100566*v_R17_n_r - 23.284964480954*v_R8_a_i - 24.9575997948692*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r + 54.0657727682604*v_R8_c_i + 105.57176931318*v_R8_c_r - 10.2713736253514*v_R8_n_i - 39.6392229058201*v_R8_n_r + 45.7766907664085*v_R9_a_i + 58.9235503101833*v_R9_a_r + 18.6937810814837*v_R9_b_i + 88.4888280826461*v_R9_b_r - 113.786109551688*v_R9_c_i - 242.095286143588*v_R9_c_r + 18.6937810814837*v_R9_n_i + 88.4888280826459*v_R9_n_r
struct[0].g[109,0] = i_R9_c_i - 24.9575997948692*v_R10_a_i + 23.284964480954*v_R10_a_r - 39.6392229058202*v_R10_b_i + 10.2713736253513*v_R10_b_r + 105.57176931318*v_R10_c_i - 54.0657727682604*v_R10_c_r - 39.6392229058201*v_R10_n_i + 10.2713736253514*v_R10_n_r - 9.00835072044484*v_R17_a_i - 0.793238195499527*v_R17_a_r - 9.21038227100566*v_R17_b_i - 1.84896616921897*v_R17_b_r + 30.9517475172273*v_R17_c_i - 5.65456401516768*v_R17_c_r - 9.21038227100566*v_R17_n_i - 1.84896616921897*v_R17_n_r - 24.9575997948692*v_R8_a_i + 23.284964480954*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r + 105.57176931318*v_R8_c_i - 54.0657727682604*v_R8_c_r - 39.6392229058201*v_R8_n_i + 10.2713736253514*v_R8_n_r + 58.9235503101833*v_R9_a_i - 45.7766907664085*v_R9_a_r + 88.4888280826461*v_R9_b_i - 18.6937810814837*v_R9_b_r - 242.095286143588*v_R9_c_i + 113.786109551688*v_R9_c_r + 88.4888280826459*v_R9_n_i - 18.6937810814837*v_R9_n_r
struct[0].g[110,0] = i_R9_n_r - 10.2713736253513*v_R10_a_i - 39.6392229058202*v_R10_a_r - 23.284964480954*v_R10_b_i - 24.9575997948692*v_R10_b_r - 10.2713736253513*v_R10_c_i - 39.6392229058202*v_R10_c_r + 54.0657727682604*v_R10_n_i + 105.57176931318*v_R10_n_r + 1.84896616921897*v_R17_a_i - 9.21038227100566*v_R17_a_r + 0.793238195499527*v_R17_b_i - 9.00835072044485*v_R17_b_r + 1.84896616921897*v_R17_c_i - 9.21038227100566*v_R17_c_r + 5.65456401516768*v_R17_n_i + 30.9517475172273*v_R17_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r - 23.284964480954*v_R8_b_i - 24.9575997948692*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058202*v_R8_c_r + 54.0657727682604*v_R8_n_i + 105.57176931318*v_R8_n_r + 18.6937810814837*v_R9_a_i + 88.488828082646*v_R9_a_r + 45.7766907664085*v_R9_b_i + 58.9235503101832*v_R9_b_r + 18.6937810814837*v_R9_c_i + 88.488828082646*v_R9_c_r - 113.786109551688*v_R9_n_i - 242.095286143588*v_R9_n_r
struct[0].g[111,0] = i_R9_n_i - 39.6392229058202*v_R10_a_i + 10.2713736253513*v_R10_a_r - 24.9575997948692*v_R10_b_i + 23.284964480954*v_R10_b_r - 39.6392229058202*v_R10_c_i + 10.2713736253513*v_R10_c_r + 105.57176931318*v_R10_n_i - 54.0657727682604*v_R10_n_r - 9.21038227100566*v_R17_a_i - 1.84896616921897*v_R17_a_r - 9.00835072044485*v_R17_b_i - 0.793238195499527*v_R17_b_r - 9.21038227100566*v_R17_c_i - 1.84896616921897*v_R17_c_r + 30.9517475172273*v_R17_n_i - 5.65456401516768*v_R17_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r - 24.9575997948692*v_R8_b_i + 23.284964480954*v_R8_b_r - 39.6392229058202*v_R8_c_i + 10.2713736253513*v_R8_c_r + 105.57176931318*v_R8_n_i - 54.0657727682604*v_R8_n_r + 88.488828082646*v_R9_a_i - 18.6937810814837*v_R9_a_r + 58.9235503101832*v_R9_b_i - 45.7766907664085*v_R9_b_r + 88.488828082646*v_R9_c_i - 18.6937810814837*v_R9_c_r - 242.095286143588*v_R9_n_i + 113.786109551688*v_R9_n_r
struct[0].g[112,0] = i_R10_a_r - 59.7203367834281*v_R10_a_i - 136.523516830407*v_R10_a_r + 8.42240745613237*v_R10_b_i + 48.8496051768258*v_R10_b_r + 22.4917262854545*v_R10_c_i + 33.9659505153141*v_R10_c_r + 8.42240745613237*v_R10_n_i + 48.8496051768258*v_R10_n_r + 5.65456401516768*v_R18_a_i + 30.9517475172273*v_R18_a_r + 1.84896616921897*v_R18_b_i - 9.21038227100566*v_R18_b_r + 0.793238195499529*v_R18_c_i - 9.00835072044485*v_R18_c_r + 1.84896616921897*v_R18_n_i - 9.21038227100566*v_R18_n_r + 54.0657727682604*v_R9_a_i + 105.57176931318*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r - 23.284964480954*v_R9_c_i - 24.9575997948692*v_R9_c_r - 10.2713736253513*v_R9_n_i - 39.6392229058202*v_R9_n_r
struct[0].g[113,0] = i_R10_a_i - 136.523516830407*v_R10_a_i + 59.7203367834281*v_R10_a_r + 48.8496051768258*v_R10_b_i - 8.42240745613237*v_R10_b_r + 33.9659505153141*v_R10_c_i - 22.4917262854545*v_R10_c_r + 48.8496051768258*v_R10_n_i - 8.42240745613237*v_R10_n_r + 30.9517475172273*v_R18_a_i - 5.65456401516768*v_R18_a_r - 9.21038227100566*v_R18_b_i - 1.84896616921897*v_R18_b_r - 9.00835072044485*v_R18_c_i - 0.793238195499529*v_R18_c_r - 9.21038227100566*v_R18_n_i - 1.84896616921897*v_R18_n_r + 105.57176931318*v_R9_a_i - 54.0657727682604*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r - 24.9575997948692*v_R9_c_i + 23.284964480954*v_R9_c_r - 39.6392229058202*v_R9_n_i + 10.2713736253513*v_R9_n_r
struct[0].g[114,0] = i_R10_b_r + 8.42240745613237*v_R10_a_i + 48.8496051768258*v_R10_a_r - 59.720336783428*v_R10_b_i - 136.523516830407*v_R10_b_r + 8.42240745613238*v_R10_c_i + 48.8496051768258*v_R10_c_r + 22.4917262854545*v_R10_n_i + 33.9659505153141*v_R10_n_r + 1.84896616921897*v_R18_a_i - 9.21038227100566*v_R18_a_r + 5.65456401516768*v_R18_b_i + 30.9517475172273*v_R18_b_r + 1.84896616921897*v_R18_c_i - 9.21038227100566*v_R18_c_r + 0.793238195499528*v_R18_n_i - 9.00835072044485*v_R18_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r + 54.0657727682604*v_R9_b_i + 105.57176931318*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058201*v_R9_c_r - 23.284964480954*v_R9_n_i - 24.9575997948692*v_R9_n_r
struct[0].g[115,0] = i_R10_b_i + 48.8496051768258*v_R10_a_i - 8.42240745613237*v_R10_a_r - 136.523516830407*v_R10_b_i + 59.720336783428*v_R10_b_r + 48.8496051768258*v_R10_c_i - 8.42240745613238*v_R10_c_r + 33.9659505153141*v_R10_n_i - 22.4917262854545*v_R10_n_r - 9.21038227100566*v_R18_a_i - 1.84896616921897*v_R18_a_r + 30.9517475172273*v_R18_b_i - 5.65456401516768*v_R18_b_r - 9.21038227100566*v_R18_c_i - 1.84896616921897*v_R18_c_r - 9.00835072044485*v_R18_n_i - 0.793238195499528*v_R18_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r + 105.57176931318*v_R9_b_i - 54.0657727682604*v_R9_b_r - 39.6392229058201*v_R9_c_i + 10.2713736253513*v_R9_c_r - 24.9575997948692*v_R9_n_i + 23.284964480954*v_R9_n_r
struct[0].g[116,0] = i_R10_c_r + 22.4917262854545*v_R10_a_i + 33.9659505153141*v_R10_a_r + 8.42240745613236*v_R10_b_i + 48.8496051768259*v_R10_b_r - 59.7203367834281*v_R10_c_i - 136.523516830407*v_R10_c_r + 8.42240745613239*v_R10_n_i + 48.8496051768258*v_R10_n_r + 0.793238195499527*v_R18_a_i - 9.00835072044484*v_R18_a_r + 1.84896616921897*v_R18_b_i - 9.21038227100566*v_R18_b_r + 5.65456401516768*v_R18_c_i + 30.9517475172273*v_R18_c_r + 1.84896616921897*v_R18_n_i - 9.21038227100566*v_R18_n_r - 23.284964480954*v_R9_a_i - 24.9575997948692*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r + 54.0657727682604*v_R9_c_i + 105.57176931318*v_R9_c_r - 10.2713736253514*v_R9_n_i - 39.6392229058201*v_R9_n_r
struct[0].g[117,0] = i_R10_c_i + 33.9659505153141*v_R10_a_i - 22.4917262854545*v_R10_a_r + 48.8496051768259*v_R10_b_i - 8.42240745613236*v_R10_b_r - 136.523516830407*v_R10_c_i + 59.7203367834281*v_R10_c_r + 48.8496051768258*v_R10_n_i - 8.42240745613239*v_R10_n_r - 9.00835072044484*v_R18_a_i - 0.793238195499527*v_R18_a_r - 9.21038227100566*v_R18_b_i - 1.84896616921897*v_R18_b_r + 30.9517475172273*v_R18_c_i - 5.65456401516768*v_R18_c_r - 9.21038227100566*v_R18_n_i - 1.84896616921897*v_R18_n_r - 24.9575997948692*v_R9_a_i + 23.284964480954*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r + 105.57176931318*v_R9_c_i - 54.0657727682604*v_R9_c_r - 39.6392229058201*v_R9_n_i + 10.2713736253514*v_R9_n_r
struct[0].g[118,0] = i_R10_n_r + 8.42240745613237*v_R10_a_i + 48.8496051768258*v_R10_a_r + 22.4917262854545*v_R10_b_i + 33.965950515314*v_R10_b_r + 8.42240745613237*v_R10_c_i + 48.8496051768258*v_R10_c_r - 59.7203367834281*v_R10_n_i - 136.548516830407*v_R10_n_r + 1.84896616921897*v_R18_a_i - 9.21038227100566*v_R18_a_r + 0.793238195499527*v_R18_b_i - 9.00835072044485*v_R18_b_r + 1.84896616921897*v_R18_c_i - 9.21038227100566*v_R18_c_r + 5.65456401516768*v_R18_n_i + 30.9517475172273*v_R18_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r - 23.284964480954*v_R9_b_i - 24.9575997948692*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058202*v_R9_c_r + 54.0657727682604*v_R9_n_i + 105.57176931318*v_R9_n_r
struct[0].g[119,0] = i_R10_n_i + 48.8496051768258*v_R10_a_i - 8.42240745613237*v_R10_a_r + 33.965950515314*v_R10_b_i - 22.4917262854545*v_R10_b_r + 48.8496051768258*v_R10_c_i - 8.42240745613237*v_R10_c_r - 136.548516830407*v_R10_n_i + 59.7203367834281*v_R10_n_r - 9.21038227100566*v_R18_a_i - 1.84896616921897*v_R18_a_r - 9.00835072044485*v_R18_b_i - 0.793238195499527*v_R18_b_r - 9.21038227100566*v_R18_c_i - 1.84896616921897*v_R18_c_r + 30.9517475172273*v_R18_n_i - 5.65456401516768*v_R18_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r - 24.9575997948692*v_R9_b_i + 23.284964480954*v_R9_b_r - 39.6392229058202*v_R9_c_i + 10.2713736253513*v_R9_c_r + 105.57176931318*v_R9_n_i - 54.0657727682604*v_R9_n_r
struct[0].g[120,0] = i_R12_a_r - 9.69353831171601*v_R12_a_i - 53.0601386009611*v_R12_a_r - 3.16965629008966*v_R12_b_i + 15.7892267502954*v_R12_b_r - 1.35983690657062*v_R12_c_i + 15.442886949334*v_R12_c_r - 3.16965629008966*v_R12_n_i + 15.7892267502954*v_R12_n_r + 4.84676915585801*v_R13_a_i + 26.5300693004806*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 0.67991845328531*v_R13_c_i - 7.72144347466701*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r + 4.84676915585801*v_R4_a_i + 26.5300693004806*v_R4_a_r + 1.58482814504483*v_R4_b_i - 7.8946133751477*v_R4_b_r + 0.67991845328531*v_R4_c_i - 7.72144347466701*v_R4_c_r + 1.58482814504483*v_R4_n_i - 7.89461337514771*v_R4_n_r
struct[0].g[121,0] = i_R12_a_i - 53.0601386009611*v_R12_a_i + 9.69353831171601*v_R12_a_r + 15.7892267502954*v_R12_b_i + 3.16965629008966*v_R12_b_r + 15.442886949334*v_R12_c_i + 1.35983690657062*v_R12_c_r + 15.7892267502954*v_R12_n_i + 3.16965629008966*v_R12_n_r + 26.5300693004806*v_R13_a_i - 4.84676915585801*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r - 7.72144347466701*v_R13_c_i - 0.67991845328531*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r + 26.5300693004806*v_R4_a_i - 4.84676915585801*v_R4_a_r - 7.8946133751477*v_R4_b_i - 1.58482814504483*v_R4_b_r - 7.72144347466701*v_R4_c_i - 0.67991845328531*v_R4_c_r - 7.89461337514771*v_R4_n_i - 1.58482814504483*v_R4_n_r
struct[0].g[122,0] = i_R12_b_r - 3.16965629008966*v_R12_a_i + 15.7892267502954*v_R12_a_r - 9.69353831171602*v_R12_b_i - 53.0601386009611*v_R12_b_r - 3.16965629008967*v_R12_c_i + 15.7892267502954*v_R12_c_r - 1.35983690657062*v_R12_n_i + 15.442886949334*v_R12_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 4.84676915585801*v_R13_b_i + 26.5300693004806*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 0.679918453285308*v_R13_n_i - 7.72144347466701*v_R13_n_r + 1.58482814504483*v_R4_a_i - 7.89461337514771*v_R4_a_r + 4.84676915585801*v_R4_b_i + 26.5300693004806*v_R4_b_r + 1.58482814504483*v_R4_c_i - 7.89461337514771*v_R4_c_r + 0.679918453285308*v_R4_n_i - 7.72144347466701*v_R4_n_r
struct[0].g[123,0] = i_R12_b_i + 15.7892267502954*v_R12_a_i + 3.16965629008966*v_R12_a_r - 53.0601386009611*v_R12_b_i + 9.69353831171602*v_R12_b_r + 15.7892267502954*v_R12_c_i + 3.16965629008967*v_R12_c_r + 15.442886949334*v_R12_n_i + 1.35983690657062*v_R12_n_r - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r + 26.5300693004806*v_R13_b_i - 4.84676915585801*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r - 7.72144347466701*v_R13_n_i - 0.679918453285308*v_R13_n_r - 7.89461337514771*v_R4_a_i - 1.58482814504483*v_R4_a_r + 26.5300693004806*v_R4_b_i - 4.84676915585801*v_R4_b_r - 7.89461337514771*v_R4_c_i - 1.58482814504483*v_R4_c_r - 7.72144347466701*v_R4_n_i - 0.679918453285308*v_R4_n_r
struct[0].g[124,0] = i_R12_c_r - 1.35983690657062*v_R12_a_i + 15.442886949334*v_R12_a_r - 3.16965629008966*v_R12_b_i + 15.7892267502954*v_R12_b_r - 9.69353831171602*v_R12_c_i - 53.0601386009611*v_R12_c_r - 3.16965629008967*v_R12_n_i + 15.7892267502954*v_R12_n_r + 0.67991845328531*v_R13_a_i - 7.72144347466701*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 4.84676915585801*v_R13_c_i + 26.5300693004806*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r + 0.67991845328531*v_R4_a_i - 7.72144347466701*v_R4_a_r + 1.58482814504483*v_R4_b_i - 7.8946133751477*v_R4_b_r + 4.84676915585801*v_R4_c_i + 26.5300693004806*v_R4_c_r + 1.58482814504483*v_R4_n_i - 7.89461337514771*v_R4_n_r
struct[0].g[125,0] = i_R12_c_i + 15.442886949334*v_R12_a_i + 1.35983690657062*v_R12_a_r + 15.7892267502954*v_R12_b_i + 3.16965629008966*v_R12_b_r - 53.0601386009611*v_R12_c_i + 9.69353831171602*v_R12_c_r + 15.7892267502954*v_R12_n_i + 3.16965629008967*v_R12_n_r - 7.72144347466701*v_R13_a_i - 0.67991845328531*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r + 26.5300693004806*v_R13_c_i - 4.84676915585801*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r - 7.72144347466701*v_R4_a_i - 0.67991845328531*v_R4_a_r - 7.8946133751477*v_R4_b_i - 1.58482814504483*v_R4_b_r + 26.5300693004806*v_R4_c_i - 4.84676915585801*v_R4_c_r - 7.89461337514771*v_R4_n_i - 1.58482814504483*v_R4_n_r
struct[0].g[126,0] = i_R12_n_r - 3.16965629008966*v_R12_a_i + 15.7892267502954*v_R12_a_r - 1.35983690657062*v_R12_b_i + 15.442886949334*v_R12_b_r - 3.16965629008966*v_R12_c_i + 15.7892267502954*v_R12_c_r - 9.69353831171602*v_R12_n_i - 53.0601386009611*v_R12_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 0.679918453285308*v_R13_b_i - 7.72144347466701*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 4.84676915585801*v_R13_n_i + 26.5300693004806*v_R13_n_r + 1.58482814504483*v_R4_a_i - 7.89461337514771*v_R4_a_r + 0.679918453285308*v_R4_b_i - 7.72144347466701*v_R4_b_r + 1.58482814504483*v_R4_c_i - 7.89461337514771*v_R4_c_r + 4.84676915585801*v_R4_n_i + 26.5300693004806*v_R4_n_r
struct[0].g[127,0] = i_R12_n_i + 15.7892267502954*v_R12_a_i + 3.16965629008966*v_R12_a_r + 15.442886949334*v_R12_b_i + 1.35983690657062*v_R12_b_r + 15.7892267502954*v_R12_c_i + 3.16965629008966*v_R12_c_r - 53.0601386009611*v_R12_n_i + 9.69353831171602*v_R12_n_r - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r - 7.72144347466701*v_R13_b_i - 0.679918453285308*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r + 26.5300693004806*v_R13_n_i - 4.84676915585801*v_R13_n_r - 7.89461337514771*v_R4_a_i - 1.58482814504483*v_R4_a_r - 7.72144347466701*v_R4_b_i - 0.679918453285308*v_R4_b_r - 7.89461337514771*v_R4_c_i - 1.58482814504483*v_R4_c_r + 26.5300693004806*v_R4_n_i - 4.84676915585801*v_R4_n_r
struct[0].g[128,0] = i_R13_a_r + 4.84676915585801*v_R12_a_i + 26.5300693004806*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 0.67991845328531*v_R12_c_i - 7.72144347466701*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 9.69353831171601*v_R13_a_i - 53.0601386009611*v_R13_a_r - 3.16965629008966*v_R13_b_i + 15.7892267502954*v_R13_b_r - 1.35983690657062*v_R13_c_i + 15.442886949334*v_R13_c_r - 3.16965629008966*v_R13_n_i + 15.7892267502954*v_R13_n_r + 4.84676915585801*v_R14_a_i + 26.5300693004806*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 0.67991845328531*v_R14_c_i - 7.72144347466701*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r
struct[0].g[129,0] = i_R13_a_i + 26.5300693004806*v_R12_a_i - 4.84676915585801*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r - 7.72144347466701*v_R12_c_i - 0.67991845328531*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r - 53.0601386009611*v_R13_a_i + 9.69353831171601*v_R13_a_r + 15.7892267502954*v_R13_b_i + 3.16965629008966*v_R13_b_r + 15.442886949334*v_R13_c_i + 1.35983690657062*v_R13_c_r + 15.7892267502954*v_R13_n_i + 3.16965629008966*v_R13_n_r + 26.5300693004806*v_R14_a_i - 4.84676915585801*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r - 7.72144347466701*v_R14_c_i - 0.67991845328531*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r
struct[0].g[130,0] = i_R13_b_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 4.84676915585801*v_R12_b_i + 26.5300693004806*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 0.679918453285308*v_R12_n_i - 7.72144347466701*v_R12_n_r - 3.16965629008966*v_R13_a_i + 15.7892267502954*v_R13_a_r - 9.69353831171602*v_R13_b_i - 53.0601386009611*v_R13_b_r - 3.16965629008967*v_R13_c_i + 15.7892267502954*v_R13_c_r - 1.35983690657062*v_R13_n_i + 15.442886949334*v_R13_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 4.84676915585801*v_R14_b_i + 26.5300693004806*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 0.679918453285308*v_R14_n_i - 7.72144347466701*v_R14_n_r
struct[0].g[131,0] = i_R13_b_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r + 26.5300693004806*v_R12_b_i - 4.84676915585801*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r - 7.72144347466701*v_R12_n_i - 0.679918453285308*v_R12_n_r + 15.7892267502954*v_R13_a_i + 3.16965629008966*v_R13_a_r - 53.0601386009611*v_R13_b_i + 9.69353831171602*v_R13_b_r + 15.7892267502954*v_R13_c_i + 3.16965629008967*v_R13_c_r + 15.442886949334*v_R13_n_i + 1.35983690657062*v_R13_n_r - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r + 26.5300693004806*v_R14_b_i - 4.84676915585801*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r - 7.72144347466701*v_R14_n_i - 0.679918453285308*v_R14_n_r
struct[0].g[132,0] = i_R13_c_r + 0.67991845328531*v_R12_a_i - 7.72144347466701*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 4.84676915585801*v_R12_c_i + 26.5300693004806*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 1.35983690657062*v_R13_a_i + 15.442886949334*v_R13_a_r - 3.16965629008966*v_R13_b_i + 15.7892267502954*v_R13_b_r - 9.69353831171602*v_R13_c_i - 53.0601386009611*v_R13_c_r - 3.16965629008967*v_R13_n_i + 15.7892267502954*v_R13_n_r + 0.67991845328531*v_R14_a_i - 7.72144347466701*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 4.84676915585801*v_R14_c_i + 26.5300693004806*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r
struct[0].g[133,0] = i_R13_c_i - 7.72144347466701*v_R12_a_i - 0.67991845328531*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r + 26.5300693004806*v_R12_c_i - 4.84676915585801*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r + 15.442886949334*v_R13_a_i + 1.35983690657062*v_R13_a_r + 15.7892267502954*v_R13_b_i + 3.16965629008966*v_R13_b_r - 53.0601386009611*v_R13_c_i + 9.69353831171602*v_R13_c_r + 15.7892267502954*v_R13_n_i + 3.16965629008967*v_R13_n_r - 7.72144347466701*v_R14_a_i - 0.67991845328531*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r + 26.5300693004806*v_R14_c_i - 4.84676915585801*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r
struct[0].g[134,0] = i_R13_n_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 0.679918453285308*v_R12_b_i - 7.72144347466701*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 4.84676915585801*v_R12_n_i + 26.5300693004806*v_R12_n_r - 3.16965629008966*v_R13_a_i + 15.7892267502954*v_R13_a_r - 1.35983690657062*v_R13_b_i + 15.442886949334*v_R13_b_r - 3.16965629008966*v_R13_c_i + 15.7892267502954*v_R13_c_r - 9.69353831171602*v_R13_n_i - 53.0851386009611*v_R13_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 0.679918453285308*v_R14_b_i - 7.72144347466701*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 4.84676915585801*v_R14_n_i + 26.5300693004806*v_R14_n_r
struct[0].g[135,0] = i_R13_n_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r - 7.72144347466701*v_R12_b_i - 0.679918453285308*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r + 26.5300693004806*v_R12_n_i - 4.84676915585801*v_R12_n_r + 15.7892267502954*v_R13_a_i + 3.16965629008966*v_R13_a_r + 15.442886949334*v_R13_b_i + 1.35983690657062*v_R13_b_r + 15.7892267502954*v_R13_c_i + 3.16965629008966*v_R13_c_r - 53.0851386009611*v_R13_n_i + 9.69353831171602*v_R13_n_r - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r - 7.72144347466701*v_R14_b_i - 0.679918453285308*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r + 26.5300693004806*v_R14_n_i - 4.84676915585801*v_R14_n_r
struct[0].g[136,0] = i_R14_a_r + 4.84676915585801*v_R13_a_i + 26.5300693004806*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 0.67991845328531*v_R13_c_i - 7.72144347466701*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r - 9.69353831171601*v_R14_a_i - 53.0601386009611*v_R14_a_r - 3.16965629008966*v_R14_b_i + 15.7892267502954*v_R14_b_r - 1.35983690657062*v_R14_c_i + 15.442886949334*v_R14_c_r - 3.16965629008966*v_R14_n_i + 15.7892267502954*v_R14_n_r + 4.84676915585801*v_R15_a_i + 26.5300693004806*v_R15_a_r + 1.58482814504483*v_R15_b_i - 7.8946133751477*v_R15_b_r + 0.67991845328531*v_R15_c_i - 7.72144347466701*v_R15_c_r + 1.58482814504483*v_R15_n_i - 7.89461337514771*v_R15_n_r
struct[0].g[137,0] = i_R14_a_i + 26.5300693004806*v_R13_a_i - 4.84676915585801*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r - 7.72144347466701*v_R13_c_i - 0.67991845328531*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r - 53.0601386009611*v_R14_a_i + 9.69353831171601*v_R14_a_r + 15.7892267502954*v_R14_b_i + 3.16965629008966*v_R14_b_r + 15.442886949334*v_R14_c_i + 1.35983690657062*v_R14_c_r + 15.7892267502954*v_R14_n_i + 3.16965629008966*v_R14_n_r + 26.5300693004806*v_R15_a_i - 4.84676915585801*v_R15_a_r - 7.8946133751477*v_R15_b_i - 1.58482814504483*v_R15_b_r - 7.72144347466701*v_R15_c_i - 0.67991845328531*v_R15_c_r - 7.89461337514771*v_R15_n_i - 1.58482814504483*v_R15_n_r
struct[0].g[138,0] = i_R14_b_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 4.84676915585801*v_R13_b_i + 26.5300693004806*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 0.679918453285308*v_R13_n_i - 7.72144347466701*v_R13_n_r - 3.16965629008966*v_R14_a_i + 15.7892267502954*v_R14_a_r - 9.69353831171602*v_R14_b_i - 53.0601386009611*v_R14_b_r - 3.16965629008967*v_R14_c_i + 15.7892267502954*v_R14_c_r - 1.35983690657062*v_R14_n_i + 15.442886949334*v_R14_n_r + 1.58482814504483*v_R15_a_i - 7.89461337514771*v_R15_a_r + 4.84676915585801*v_R15_b_i + 26.5300693004806*v_R15_b_r + 1.58482814504483*v_R15_c_i - 7.89461337514771*v_R15_c_r + 0.679918453285308*v_R15_n_i - 7.72144347466701*v_R15_n_r
struct[0].g[139,0] = i_R14_b_i - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r + 26.5300693004806*v_R13_b_i - 4.84676915585801*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r - 7.72144347466701*v_R13_n_i - 0.679918453285308*v_R13_n_r + 15.7892267502954*v_R14_a_i + 3.16965629008966*v_R14_a_r - 53.0601386009611*v_R14_b_i + 9.69353831171602*v_R14_b_r + 15.7892267502954*v_R14_c_i + 3.16965629008967*v_R14_c_r + 15.442886949334*v_R14_n_i + 1.35983690657062*v_R14_n_r - 7.89461337514771*v_R15_a_i - 1.58482814504483*v_R15_a_r + 26.5300693004806*v_R15_b_i - 4.84676915585801*v_R15_b_r - 7.89461337514771*v_R15_c_i - 1.58482814504483*v_R15_c_r - 7.72144347466701*v_R15_n_i - 0.679918453285308*v_R15_n_r
struct[0].g[140,0] = i_R14_c_r + 0.67991845328531*v_R13_a_i - 7.72144347466701*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 4.84676915585801*v_R13_c_i + 26.5300693004806*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r - 1.35983690657062*v_R14_a_i + 15.442886949334*v_R14_a_r - 3.16965629008966*v_R14_b_i + 15.7892267502954*v_R14_b_r - 9.69353831171602*v_R14_c_i - 53.0601386009611*v_R14_c_r - 3.16965629008967*v_R14_n_i + 15.7892267502954*v_R14_n_r + 0.67991845328531*v_R15_a_i - 7.72144347466701*v_R15_a_r + 1.58482814504483*v_R15_b_i - 7.8946133751477*v_R15_b_r + 4.84676915585801*v_R15_c_i + 26.5300693004806*v_R15_c_r + 1.58482814504483*v_R15_n_i - 7.89461337514771*v_R15_n_r
struct[0].g[141,0] = i_R14_c_i - 7.72144347466701*v_R13_a_i - 0.67991845328531*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r + 26.5300693004806*v_R13_c_i - 4.84676915585801*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r + 15.442886949334*v_R14_a_i + 1.35983690657062*v_R14_a_r + 15.7892267502954*v_R14_b_i + 3.16965629008966*v_R14_b_r - 53.0601386009611*v_R14_c_i + 9.69353831171602*v_R14_c_r + 15.7892267502954*v_R14_n_i + 3.16965629008967*v_R14_n_r - 7.72144347466701*v_R15_a_i - 0.67991845328531*v_R15_a_r - 7.8946133751477*v_R15_b_i - 1.58482814504483*v_R15_b_r + 26.5300693004806*v_R15_c_i - 4.84676915585801*v_R15_c_r - 7.89461337514771*v_R15_n_i - 1.58482814504483*v_R15_n_r
struct[0].g[142,0] = i_R14_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 0.679918453285308*v_R13_b_i - 7.72144347466701*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 4.84676915585801*v_R13_n_i + 26.5300693004806*v_R13_n_r - 3.16965629008966*v_R14_a_i + 15.7892267502954*v_R14_a_r - 1.35983690657062*v_R14_b_i + 15.442886949334*v_R14_b_r - 3.16965629008966*v_R14_c_i + 15.7892267502954*v_R14_c_r - 9.69353831171602*v_R14_n_i - 53.0601386009611*v_R14_n_r + 1.58482814504483*v_R15_a_i - 7.89461337514771*v_R15_a_r + 0.679918453285308*v_R15_b_i - 7.72144347466701*v_R15_b_r + 1.58482814504483*v_R15_c_i - 7.89461337514771*v_R15_c_r + 4.84676915585801*v_R15_n_i + 26.5300693004806*v_R15_n_r
struct[0].g[143,0] = i_R14_n_i - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r - 7.72144347466701*v_R13_b_i - 0.679918453285308*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r + 26.5300693004806*v_R13_n_i - 4.84676915585801*v_R13_n_r + 15.7892267502954*v_R14_a_i + 3.16965629008966*v_R14_a_r + 15.442886949334*v_R14_b_i + 1.35983690657062*v_R14_b_r + 15.7892267502954*v_R14_c_i + 3.16965629008966*v_R14_c_r - 53.0601386009611*v_R14_n_i + 9.69353831171602*v_R14_n_r - 7.89461337514771*v_R15_a_i - 1.58482814504483*v_R15_a_r - 7.72144347466701*v_R15_b_i - 0.679918453285308*v_R15_b_r - 7.89461337514771*v_R15_c_i - 1.58482814504483*v_R15_c_r + 26.5300693004806*v_R15_n_i - 4.84676915585801*v_R15_n_r
struct[0].g[144,0] = i_R1_a_i*v_R1_a_i - i_R1_a_i*v_R1_n_i + i_R1_a_r*v_R1_a_r - i_R1_a_r*v_R1_n_r - p_R1_a
struct[0].g[145,0] = i_R1_b_i*v_R1_b_i - i_R1_b_i*v_R1_n_i + i_R1_b_r*v_R1_b_r - i_R1_b_r*v_R1_n_r - p_R1_b
struct[0].g[146,0] = i_R1_c_i*v_R1_c_i - i_R1_c_i*v_R1_n_i + i_R1_c_r*v_R1_c_r - i_R1_c_r*v_R1_n_r - p_R1_c
struct[0].g[147,0] = -i_R1_a_i*v_R1_a_r + i_R1_a_i*v_R1_n_r + i_R1_a_r*v_R1_a_i - i_R1_a_r*v_R1_n_i - q_R1_a
struct[0].g[148,0] = -i_R1_b_i*v_R1_b_r + i_R1_b_i*v_R1_n_r + i_R1_b_r*v_R1_b_i - i_R1_b_r*v_R1_n_i - q_R1_b
struct[0].g[149,0] = -i_R1_c_i*v_R1_c_r + i_R1_c_i*v_R1_n_r + i_R1_c_r*v_R1_c_i - i_R1_c_r*v_R1_n_i - q_R1_c
struct[0].g[150,0] = i_R1_a_r + i_R1_b_r + i_R1_c_r + i_R1_n_r
struct[0].g[151,0] = i_R1_a_i + i_R1_b_i + i_R1_c_i + i_R1_n_i
struct[0].g[152,0] = i_R11_a_i*v_R11_a_i - i_R11_a_i*v_R11_n_i + i_R11_a_r*v_R11_a_r - i_R11_a_r*v_R11_n_r - p_R11_a
struct[0].g[153,0] = i_R11_b_i*v_R11_b_i - i_R11_b_i*v_R11_n_i + i_R11_b_r*v_R11_b_r - i_R11_b_r*v_R11_n_r - p_R11_b
struct[0].g[154,0] = i_R11_c_i*v_R11_c_i - i_R11_c_i*v_R11_n_i + i_R11_c_r*v_R11_c_r - i_R11_c_r*v_R11_n_r - p_R11_c
struct[0].g[155,0] = -i_R11_a_i*v_R11_a_r + i_R11_a_i*v_R11_n_r + i_R11_a_r*v_R11_a_i - i_R11_a_r*v_R11_n_i - q_R11_a
struct[0].g[156,0] = -i_R11_b_i*v_R11_b_r + i_R11_b_i*v_R11_n_r + i_R11_b_r*v_R11_b_i - i_R11_b_r*v_R11_n_i - q_R11_b
struct[0].g[157,0] = -i_R11_c_i*v_R11_c_r + i_R11_c_i*v_R11_n_r + i_R11_c_r*v_R11_c_i - i_R11_c_r*v_R11_n_i - q_R11_c
struct[0].g[158,0] = i_R11_a_r + i_R11_b_r + i_R11_c_r + i_R11_n_r
struct[0].g[159,0] = i_R11_a_i + i_R11_b_i + i_R11_c_i + i_R11_n_i
struct[0].g[160,0] = i_R15_a_i*v_R15_a_i - i_R15_a_i*v_R15_n_i + i_R15_a_r*v_R15_a_r - i_R15_a_r*v_R15_n_r - p_R15_a
struct[0].g[161,0] = i_R15_b_i*v_R15_b_i - i_R15_b_i*v_R15_n_i + i_R15_b_r*v_R15_b_r - i_R15_b_r*v_R15_n_r - p_R15_b
struct[0].g[162,0] = i_R15_c_i*v_R15_c_i - i_R15_c_i*v_R15_n_i + i_R15_c_r*v_R15_c_r - i_R15_c_r*v_R15_n_r - p_R15_c
struct[0].g[163,0] = -i_R15_a_i*v_R15_a_r + i_R15_a_i*v_R15_n_r + i_R15_a_r*v_R15_a_i - i_R15_a_r*v_R15_n_i - q_R15_a
struct[0].g[164,0] = -i_R15_b_i*v_R15_b_r + i_R15_b_i*v_R15_n_r + i_R15_b_r*v_R15_b_i - i_R15_b_r*v_R15_n_i - q_R15_b
struct[0].g[165,0] = -i_R15_c_i*v_R15_c_r + i_R15_c_i*v_R15_n_r + i_R15_c_r*v_R15_c_i - i_R15_c_r*v_R15_n_i - q_R15_c
struct[0].g[166,0] = i_R15_a_r + i_R15_b_r + i_R15_c_r + i_R15_n_r
struct[0].g[167,0] = i_R15_a_i + i_R15_b_i + i_R15_c_i + i_R15_n_i
struct[0].g[168,0] = i_R16_a_i*v_R16_a_i - i_R16_a_i*v_R16_n_i + i_R16_a_r*v_R16_a_r - i_R16_a_r*v_R16_n_r - p_R16_a
struct[0].g[169,0] = i_R16_b_i*v_R16_b_i - i_R16_b_i*v_R16_n_i + i_R16_b_r*v_R16_b_r - i_R16_b_r*v_R16_n_r - p_R16_b
struct[0].g[170,0] = i_R16_c_i*v_R16_c_i - i_R16_c_i*v_R16_n_i + i_R16_c_r*v_R16_c_r - i_R16_c_r*v_R16_n_r - p_R16_c
struct[0].g[171,0] = -i_R16_a_i*v_R16_a_r + i_R16_a_i*v_R16_n_r + i_R16_a_r*v_R16_a_i - i_R16_a_r*v_R16_n_i - q_R16_a
struct[0].g[172,0] = -i_R16_b_i*v_R16_b_r + i_R16_b_i*v_R16_n_r + i_R16_b_r*v_R16_b_i - i_R16_b_r*v_R16_n_i - q_R16_b
struct[0].g[173,0] = -i_R16_c_i*v_R16_c_r + i_R16_c_i*v_R16_n_r + i_R16_c_r*v_R16_c_i - i_R16_c_r*v_R16_n_i - q_R16_c
struct[0].g[174,0] = i_R16_a_r + i_R16_b_r + i_R16_c_r + i_R16_n_r
struct[0].g[175,0] = i_R16_a_i + i_R16_b_i + i_R16_c_i + i_R16_n_i
struct[0].g[176,0] = i_R17_a_i*v_R17_a_i - i_R17_a_i*v_R17_n_i + i_R17_a_r*v_R17_a_r - i_R17_a_r*v_R17_n_r - p_R17_a
struct[0].g[177,0] = i_R17_b_i*v_R17_b_i - i_R17_b_i*v_R17_n_i + i_R17_b_r*v_R17_b_r - i_R17_b_r*v_R17_n_r - p_R17_b
struct[0].g[178,0] = i_R17_c_i*v_R17_c_i - i_R17_c_i*v_R17_n_i + i_R17_c_r*v_R17_c_r - i_R17_c_r*v_R17_n_r - p_R17_c
struct[0].g[179,0] = -i_R17_a_i*v_R17_a_r + i_R17_a_i*v_R17_n_r + i_R17_a_r*v_R17_a_i - i_R17_a_r*v_R17_n_i - q_R17_a
struct[0].g[180,0] = -i_R17_b_i*v_R17_b_r + i_R17_b_i*v_R17_n_r + i_R17_b_r*v_R17_b_i - i_R17_b_r*v_R17_n_i - q_R17_b
struct[0].g[181,0] = -i_R17_c_i*v_R17_c_r + i_R17_c_i*v_R17_n_r + i_R17_c_r*v_R17_c_i - i_R17_c_r*v_R17_n_i - q_R17_c
struct[0].g[182,0] = i_R17_a_r + i_R17_b_r + i_R17_c_r + i_R17_n_r
struct[0].g[183,0] = i_R17_a_i + i_R17_b_i + i_R17_c_i + i_R17_n_i
struct[0].g[184,0] = i_R18_a_i*v_R18_a_i - i_R18_a_i*v_R18_n_i + i_R18_a_r*v_R18_a_r - i_R18_a_r*v_R18_n_r - p_R18_a
struct[0].g[185,0] = i_R18_b_i*v_R18_b_i - i_R18_b_i*v_R18_n_i + i_R18_b_r*v_R18_b_r - i_R18_b_r*v_R18_n_r - p_R18_b
struct[0].g[186,0] = i_R18_c_i*v_R18_c_i - i_R18_c_i*v_R18_n_i + i_R18_c_r*v_R18_c_r - i_R18_c_r*v_R18_n_r - p_R18_c
struct[0].g[187,0] = -i_R18_a_i*v_R18_a_r + i_R18_a_i*v_R18_n_r + i_R18_a_r*v_R18_a_i - i_R18_a_r*v_R18_n_i - q_R18_a
struct[0].g[188,0] = -i_R18_b_i*v_R18_b_r + i_R18_b_i*v_R18_n_r + i_R18_b_r*v_R18_b_i - i_R18_b_r*v_R18_n_i - q_R18_b
struct[0].g[189,0] = -i_R18_c_i*v_R18_c_r + i_R18_c_i*v_R18_n_r + i_R18_c_r*v_R18_c_i - i_R18_c_r*v_R18_n_i - q_R18_c
struct[0].g[190,0] = i_R18_a_r + i_R18_b_r + i_R18_c_r + i_R18_n_r
struct[0].g[191,0] = i_R18_a_i + i_R18_b_i + i_R18_c_i + i_R18_n_i
# Outputs:
if mode == 3:
struct[0].h[0,0] = (v_R0_a_i**2 + v_R0_a_r**2)**0.5
struct[0].h[1,0] = (v_R0_b_i**2 + v_R0_b_r**2)**0.5
struct[0].h[2,0] = (v_R0_c_i**2 + v_R0_c_r**2)**0.5
struct[0].h[3,0] = (v_R1_a_i**2 + v_R1_a_r**2)**0.5
struct[0].h[4,0] = (v_R1_b_i**2 + v_R1_b_r**2)**0.5
struct[0].h[5,0] = (v_R1_c_i**2 + v_R1_c_r**2)**0.5
struct[0].h[6,0] = (v_R1_n_i**2 + v_R1_n_r**2)**0.5
struct[0].h[7,0] = (v_R11_a_i**2 + v_R11_a_r**2)**0.5
struct[0].h[8,0] = (v_R11_b_i**2 + v_R11_b_r**2)**0.5
struct[0].h[9,0] = (v_R11_c_i**2 + v_R11_c_r**2)**0.5
struct[0].h[10,0] = (v_R11_n_i**2 + v_R11_n_r**2)**0.5
struct[0].h[11,0] = (v_R15_a_i**2 + v_R15_a_r**2)**0.5
struct[0].h[12,0] = (v_R15_b_i**2 + v_R15_b_r**2)**0.5
struct[0].h[13,0] = (v_R15_c_i**2 + v_R15_c_r**2)**0.5
struct[0].h[14,0] = (v_R15_n_i**2 + v_R15_n_r**2)**0.5
struct[0].h[15,0] = (v_R16_a_i**2 + v_R16_a_r**2)**0.5
struct[0].h[16,0] = (v_R16_b_i**2 + v_R16_b_r**2)**0.5
struct[0].h[17,0] = (v_R16_c_i**2 + v_R16_c_r**2)**0.5
struct[0].h[18,0] = (v_R16_n_i**2 + v_R16_n_r**2)**0.5
struct[0].h[19,0] = (v_R17_a_i**2 + v_R17_a_r**2)**0.5
struct[0].h[20,0] = (v_R17_b_i**2 + v_R17_b_r**2)**0.5
struct[0].h[21,0] = (v_R17_c_i**2 + v_R17_c_r**2)**0.5
struct[0].h[22,0] = (v_R17_n_i**2 + v_R17_n_r**2)**0.5
struct[0].h[23,0] = (v_R18_a_i**2 + v_R18_a_r**2)**0.5
struct[0].h[24,0] = (v_R18_b_i**2 + v_R18_b_r**2)**0.5
struct[0].h[25,0] = (v_R18_c_i**2 + v_R18_c_r**2)**0.5
struct[0].h[26,0] = (v_R18_n_i**2 + v_R18_n_r**2)**0.5
struct[0].h[27,0] = (v_R2_a_i**2 + v_R2_a_r**2)**0.5
struct[0].h[28,0] = (v_R2_b_i**2 + v_R2_b_r**2)**0.5
struct[0].h[29,0] = (v_R2_c_i**2 + v_R2_c_r**2)**0.5
struct[0].h[30,0] = (v_R2_n_i**2 + v_R2_n_r**2)**0.5
struct[0].h[31,0] = (v_R3_a_i**2 + v_R3_a_r**2)**0.5
struct[0].h[32,0] = (v_R3_b_i**2 + v_R3_b_r**2)**0.5
struct[0].h[33,0] = (v_R3_c_i**2 + v_R3_c_r**2)**0.5
struct[0].h[34,0] = (v_R3_n_i**2 + v_R3_n_r**2)**0.5
struct[0].h[35,0] = (v_R4_a_i**2 + v_R4_a_r**2)**0.5
struct[0].h[36,0] = (v_R4_b_i**2 + v_R4_b_r**2)**0.5
struct[0].h[37,0] = (v_R4_c_i**2 + v_R4_c_r**2)**0.5
struct[0].h[38,0] = (v_R4_n_i**2 + v_R4_n_r**2)**0.5
struct[0].h[39,0] = (v_R5_a_i**2 + v_R5_a_r**2)**0.5
struct[0].h[40,0] = (v_R5_b_i**2 + v_R5_b_r**2)**0.5
struct[0].h[41,0] = (v_R5_c_i**2 + v_R5_c_r**2)**0.5
struct[0].h[42,0] = (v_R5_n_i**2 + v_R5_n_r**2)**0.5
struct[0].h[43,0] = (v_R6_a_i**2 + v_R6_a_r**2)**0.5
struct[0].h[44,0] = (v_R6_b_i**2 + v_R6_b_r**2)**0.5
struct[0].h[45,0] = (v_R6_c_i**2 + v_R6_c_r**2)**0.5
struct[0].h[46,0] = (v_R6_n_i**2 + v_R6_n_r**2)**0.5
struct[0].h[47,0] = (v_R7_a_i**2 + v_R7_a_r**2)**0.5
struct[0].h[48,0] = (v_R7_b_i**2 + v_R7_b_r**2)**0.5
struct[0].h[49,0] = (v_R7_c_i**2 + v_R7_c_r**2)**0.5
struct[0].h[50,0] = (v_R7_n_i**2 + v_R7_n_r**2)**0.5
struct[0].h[51,0] = (v_R8_a_i**2 + v_R8_a_r**2)**0.5
struct[0].h[52,0] = (v_R8_b_i**2 + v_R8_b_r**2)**0.5
struct[0].h[53,0] = (v_R8_c_i**2 + v_R8_c_r**2)**0.5
struct[0].h[54,0] = (v_R8_n_i**2 + v_R8_n_r**2)**0.5
struct[0].h[55,0] = (v_R9_a_i**2 + v_R9_a_r**2)**0.5
struct[0].h[56,0] = (v_R9_b_i**2 + v_R9_b_r**2)**0.5
struct[0].h[57,0] = (v_R9_c_i**2 + v_R9_c_r**2)**0.5
struct[0].h[58,0] = (v_R9_n_i**2 + v_R9_n_r**2)**0.5
struct[0].h[59,0] = (v_R10_a_i**2 + v_R10_a_r**2)**0.5
struct[0].h[60,0] = (v_R10_b_i**2 + v_R10_b_r**2)**0.5
struct[0].h[61,0] = (v_R10_c_i**2 + v_R10_c_r**2)**0.5
struct[0].h[62,0] = (v_R10_n_i**2 + v_R10_n_r**2)**0.5
struct[0].h[63,0] = (v_R12_a_i**2 + v_R12_a_r**2)**0.5
struct[0].h[64,0] = (v_R12_b_i**2 + v_R12_b_r**2)**0.5
struct[0].h[65,0] = (v_R12_c_i**2 + v_R12_c_r**2)**0.5
struct[0].h[66,0] = (v_R12_n_i**2 + v_R12_n_r**2)**0.5
struct[0].h[67,0] = (v_R13_a_i**2 + v_R13_a_r**2)**0.5
struct[0].h[68,0] = (v_R13_b_i**2 + v_R13_b_r**2)**0.5
struct[0].h[69,0] = (v_R13_c_i**2 + v_R13_c_r**2)**0.5
struct[0].h[70,0] = (v_R13_n_i**2 + v_R13_n_r**2)**0.5
struct[0].h[71,0] = (v_R14_a_i**2 + v_R14_a_r**2)**0.5
struct[0].h[72,0] = (v_R14_b_i**2 + v_R14_b_r**2)**0.5
struct[0].h[73,0] = (v_R14_c_i**2 + v_R14_c_r**2)**0.5
struct[0].h[74,0] = (v_R14_n_i**2 + v_R14_n_r**2)**0.5
if mode == 10:
struct[0].Fx_ini[0,0] = -1
if mode == 11:
struct[0].Gy_ini[0,0] = -122.245105314247
struct[0].Gy_ini[0,1] = -120.759116772529
struct[0].Gy_ini[0,2] = 39.6392229058202
struct[0].Gy_ini[0,3] = 10.2713736253513
struct[0].Gy_ini[0,4] = 24.9575997948692
struct[0].Gy_ini[0,5] = 23.2849644809540
struct[0].Gy_ini[0,6] = 56.3125589068873
struct[0].Gy_ini[0,7] = 76.9647176296197
struct[0].Gy_ini[0,48] = 105.571769313180
struct[0].Gy_ini[0,49] = 54.0657727682604
struct[0].Gy_ini[0,50] = -39.6392229058202
struct[0].Gy_ini[0,51] = -10.2713736253513
struct[0].Gy_ini[0,52] = -24.9575997948692
struct[0].Gy_ini[0,53] = -23.2849644809540
struct[0].Gy_ini[0,54] = -39.6392229058202
struct[0].Gy_ini[0,55] = -10.2713736253513
struct[0].Gy_ini[0,144] = 1
struct[0].Gy_ini[1,0] = 120.759116772529
struct[0].Gy_ini[1,1] = -122.245105314247
struct[0].Gy_ini[1,2] = -10.2713736253513
struct[0].Gy_ini[1,3] = 39.6392229058202
struct[0].Gy_ini[1,4] = -23.2849644809540
struct[0].Gy_ini[1,5] = 24.9575997948692
struct[0].Gy_ini[1,6] = -76.9647176296197
struct[0].Gy_ini[1,7] = 56.3125589068873
struct[0].Gy_ini[1,48] = -54.0657727682604
struct[0].Gy_ini[1,49] = 105.571769313180
struct[0].Gy_ini[1,50] = 10.2713736253513
struct[0].Gy_ini[1,51] = -39.6392229058202
struct[0].Gy_ini[1,52] = 23.2849644809540
struct[0].Gy_ini[1,53] = -24.9575997948692
struct[0].Gy_ini[1,54] = 10.2713736253513
struct[0].Gy_ini[1,55] = -39.6392229058202
struct[0].Gy_ini[1,145] = 1
struct[0].Gy_ini[2,0] = 39.6392229058202
struct[0].Gy_ini[2,1] = 10.2713736253513
struct[0].Gy_ini[2,2] = -122.245105314247
struct[0].Gy_ini[2,3] = -120.759116772529
struct[0].Gy_ini[2,4] = 39.6392229058201
struct[0].Gy_ini[2,5] = 10.2713736253513
struct[0].Gy_ini[2,6] = 41.6309357959363
struct[0].Gy_ini[2,7] = 89.9783084852224
struct[0].Gy_ini[2,48] = -39.6392229058202
struct[0].Gy_ini[2,49] = -10.2713736253513
struct[0].Gy_ini[2,50] = 105.571769313180
struct[0].Gy_ini[2,51] = 54.0657727682604
struct[0].Gy_ini[2,52] = -39.6392229058201
struct[0].Gy_ini[2,53] = -10.2713736253513
struct[0].Gy_ini[2,54] = -24.9575997948692
struct[0].Gy_ini[2,55] = -23.2849644809540
struct[0].Gy_ini[2,146] = 1
struct[0].Gy_ini[3,0] = -10.2713736253513
struct[0].Gy_ini[3,1] = 39.6392229058202
struct[0].Gy_ini[3,2] = 120.759116772529
struct[0].Gy_ini[3,3] = -122.245105314247
struct[0].Gy_ini[3,4] = -10.2713736253513
struct[0].Gy_ini[3,5] = 39.6392229058201
struct[0].Gy_ini[3,6] = -89.9783084852224
struct[0].Gy_ini[3,7] = 41.6309357959363
struct[0].Gy_ini[3,48] = 10.2713736253513
struct[0].Gy_ini[3,49] = -39.6392229058202
struct[0].Gy_ini[3,50] = -54.0657727682604
struct[0].Gy_ini[3,51] = 105.571769313180
struct[0].Gy_ini[3,52] = 10.2713736253513
struct[0].Gy_ini[3,53] = -39.6392229058201
struct[0].Gy_ini[3,54] = 23.2849644809540
struct[0].Gy_ini[3,55] = -24.9575997948692
struct[0].Gy_ini[3,147] = 1
struct[0].Gy_ini[4,0] = 24.9575997948692
struct[0].Gy_ini[4,1] = 23.2849644809540
struct[0].Gy_ini[4,2] = 39.6392229058202
struct[0].Gy_ini[4,3] = 10.2713736253513
struct[0].Gy_ini[4,4] = -122.245105314247
struct[0].Gy_ini[4,5] = -120.759116772529
struct[0].Gy_ini[4,6] = 56.3125589068872
struct[0].Gy_ini[4,7] = 76.9647176296197
struct[0].Gy_ini[4,48] = -24.9575997948692
struct[0].Gy_ini[4,49] = -23.2849644809540
struct[0].Gy_ini[4,50] = -39.6392229058202
struct[0].Gy_ini[4,51] = -10.2713736253513
struct[0].Gy_ini[4,52] = 105.571769313180
struct[0].Gy_ini[4,53] = 54.0657727682604
struct[0].Gy_ini[4,54] = -39.6392229058201
struct[0].Gy_ini[4,55] = -10.2713736253514
struct[0].Gy_ini[4,148] = 1
struct[0].Gy_ini[5,0] = -23.2849644809540
struct[0].Gy_ini[5,1] = 24.9575997948692
struct[0].Gy_ini[5,2] = -10.2713736253513
struct[0].Gy_ini[5,3] = 39.6392229058202
struct[0].Gy_ini[5,4] = 120.759116772529
struct[0].Gy_ini[5,5] = -122.245105314247
struct[0].Gy_ini[5,6] = -76.9647176296197
struct[0].Gy_ini[5,7] = 56.3125589068872
struct[0].Gy_ini[5,48] = 23.2849644809540
struct[0].Gy_ini[5,49] = -24.9575997948692
struct[0].Gy_ini[5,50] = 10.2713736253513
struct[0].Gy_ini[5,51] = -39.6392229058202
struct[0].Gy_ini[5,52] = -54.0657727682604
struct[0].Gy_ini[5,53] = 105.571769313180
struct[0].Gy_ini[5,54] = 10.2713736253514
struct[0].Gy_ini[5,55] = -39.6392229058201
struct[0].Gy_ini[5,149] = 1
struct[0].Gy_ini[6,0] = 56.3125589068872
struct[0].Gy_ini[6,1] = 76.9647176296197
struct[0].Gy_ini[6,2] = 41.6309357959363
struct[0].Gy_ini[6,3] = 89.9783084852224
struct[0].Gy_ini[6,4] = 56.3125589068872
struct[0].Gy_ini[6,5] = 76.9647176296197
struct[0].Gy_ini[6,6] = -155.925110649715
struct[0].Gy_ini[6,7] = -254.145804781065
struct[0].Gy_ini[6,48] = -39.6392229058202
struct[0].Gy_ini[6,49] = -10.2713736253513
struct[0].Gy_ini[6,50] = -24.9575997948692
struct[0].Gy_ini[6,51] = -23.2849644809540
struct[0].Gy_ini[6,52] = -39.6392229058202
struct[0].Gy_ini[6,53] = -10.2713736253513
struct[0].Gy_ini[6,54] = 105.571769313180
struct[0].Gy_ini[6,55] = 54.0657727682604
struct[0].Gy_ini[6,150] = 1
struct[0].Gy_ini[7,0] = -76.9647176296197
struct[0].Gy_ini[7,1] = 56.3125589068872
struct[0].Gy_ini[7,2] = -89.9783084852224
struct[0].Gy_ini[7,3] = 41.6309357959363
struct[0].Gy_ini[7,4] = -76.9647176296197
struct[0].Gy_ini[7,5] = 56.3125589068872
struct[0].Gy_ini[7,6] = 254.145804781065
struct[0].Gy_ini[7,7] = -155.925110649715
struct[0].Gy_ini[7,48] = 10.2713736253513
struct[0].Gy_ini[7,49] = -39.6392229058202
struct[0].Gy_ini[7,50] = 23.2849644809540
struct[0].Gy_ini[7,51] = -24.9575997948692
struct[0].Gy_ini[7,52] = 10.2713736253513
struct[0].Gy_ini[7,53] = -39.6392229058202
struct[0].Gy_ini[7,54] = -54.0657727682604
struct[0].Gy_ini[7,55] = 105.571769313180
struct[0].Gy_ini[7,151] = 1
struct[0].Gy_ini[8,8] = -26.5300693004806
struct[0].Gy_ini[8,9] = -4.84676915585801
struct[0].Gy_ini[8,10] = 7.89461337514770
struct[0].Gy_ini[8,11] = -1.58482814504483
struct[0].Gy_ini[8,12] = 7.72144347466701
struct[0].Gy_ini[8,13] = -0.679918453285310
struct[0].Gy_ini[8,14] = 7.89461337514771
struct[0].Gy_ini[8,15] = -1.58482814504483
struct[0].Gy_ini[8,56] = 26.5300693004806
struct[0].Gy_ini[8,57] = 4.84676915585801
struct[0].Gy_ini[8,58] = -7.89461337514770
struct[0].Gy_ini[8,59] = 1.58482814504483
struct[0].Gy_ini[8,60] = -7.72144347466701
struct[0].Gy_ini[8,61] = 0.679918453285310
struct[0].Gy_ini[8,62] = -7.89461337514771
struct[0].Gy_ini[8,63] = 1.58482814504483
struct[0].Gy_ini[8,152] = 1
struct[0].Gy_ini[9,8] = 4.84676915585801
struct[0].Gy_ini[9,9] = -26.5300693004806
struct[0].Gy_ini[9,10] = 1.58482814504483
struct[0].Gy_ini[9,11] = 7.89461337514770
struct[0].Gy_ini[9,12] = 0.679918453285310
struct[0].Gy_ini[9,13] = 7.72144347466701
struct[0].Gy_ini[9,14] = 1.58482814504483
struct[0].Gy_ini[9,15] = 7.89461337514771
struct[0].Gy_ini[9,56] = -4.84676915585801
struct[0].Gy_ini[9,57] = 26.5300693004806
struct[0].Gy_ini[9,58] = -1.58482814504483
struct[0].Gy_ini[9,59] = -7.89461337514770
struct[0].Gy_ini[9,60] = -0.679918453285310
struct[0].Gy_ini[9,61] = -7.72144347466701
struct[0].Gy_ini[9,62] = -1.58482814504483
struct[0].Gy_ini[9,63] = -7.89461337514771
struct[0].Gy_ini[9,153] = 1
struct[0].Gy_ini[10,8] = 7.89461337514771
struct[0].Gy_ini[10,9] = -1.58482814504483
struct[0].Gy_ini[10,10] = -26.5300693004806
struct[0].Gy_ini[10,11] = -4.84676915585801
struct[0].Gy_ini[10,12] = 7.89461337514771
struct[0].Gy_ini[10,13] = -1.58482814504483
struct[0].Gy_ini[10,14] = 7.72144347466701
struct[0].Gy_ini[10,15] = -0.679918453285308
struct[0].Gy_ini[10,56] = -7.89461337514771
struct[0].Gy_ini[10,57] = 1.58482814504483
struct[0].Gy_ini[10,58] = 26.5300693004806
struct[0].Gy_ini[10,59] = 4.84676915585801
struct[0].Gy_ini[10,60] = -7.89461337514771
struct[0].Gy_ini[10,61] = 1.58482814504483
struct[0].Gy_ini[10,62] = -7.72144347466701
struct[0].Gy_ini[10,63] = 0.679918453285308
struct[0].Gy_ini[10,154] = 1
struct[0].Gy_ini[11,8] = 1.58482814504483
struct[0].Gy_ini[11,9] = 7.89461337514771
struct[0].Gy_ini[11,10] = 4.84676915585801
struct[0].Gy_ini[11,11] = -26.5300693004806
struct[0].Gy_ini[11,12] = 1.58482814504483
struct[0].Gy_ini[11,13] = 7.89461337514771
struct[0].Gy_ini[11,14] = 0.679918453285308
struct[0].Gy_ini[11,15] = 7.72144347466701
struct[0].Gy_ini[11,56] = -1.58482814504483
struct[0].Gy_ini[11,57] = -7.89461337514771
struct[0].Gy_ini[11,58] = -4.84676915585801
struct[0].Gy_ini[11,59] = 26.5300693004806
struct[0].Gy_ini[11,60] = -1.58482814504483
struct[0].Gy_ini[11,61] = -7.89461337514771
struct[0].Gy_ini[11,62] = -0.679918453285308
struct[0].Gy_ini[11,63] = -7.72144347466701
struct[0].Gy_ini[11,155] = 1
struct[0].Gy_ini[12,8] = 7.72144347466701
struct[0].Gy_ini[12,9] = -0.679918453285310
struct[0].Gy_ini[12,10] = 7.89461337514770
struct[0].Gy_ini[12,11] = -1.58482814504483
struct[0].Gy_ini[12,12] = -26.5300693004806
struct[0].Gy_ini[12,13] = -4.84676915585801
struct[0].Gy_ini[12,14] = 7.89461337514771
struct[0].Gy_ini[12,15] = -1.58482814504483
struct[0].Gy_ini[12,56] = -7.72144347466701
struct[0].Gy_ini[12,57] = 0.679918453285310
struct[0].Gy_ini[12,58] = -7.89461337514770
struct[0].Gy_ini[12,59] = 1.58482814504483
struct[0].Gy_ini[12,60] = 26.5300693004806
struct[0].Gy_ini[12,61] = 4.84676915585801
struct[0].Gy_ini[12,62] = -7.89461337514771
struct[0].Gy_ini[12,63] = 1.58482814504483
struct[0].Gy_ini[12,156] = 1
struct[0].Gy_ini[13,8] = 0.679918453285310
struct[0].Gy_ini[13,9] = 7.72144347466701
struct[0].Gy_ini[13,10] = 1.58482814504483
struct[0].Gy_ini[13,11] = 7.89461337514770
struct[0].Gy_ini[13,12] = 4.84676915585801
struct[0].Gy_ini[13,13] = -26.5300693004806
struct[0].Gy_ini[13,14] = 1.58482814504483
struct[0].Gy_ini[13,15] = 7.89461337514771
struct[0].Gy_ini[13,56] = -0.679918453285310
struct[0].Gy_ini[13,57] = -7.72144347466701
struct[0].Gy_ini[13,58] = -1.58482814504483
struct[0].Gy_ini[13,59] = -7.89461337514770
struct[0].Gy_ini[13,60] = -4.84676915585801
struct[0].Gy_ini[13,61] = 26.5300693004806
struct[0].Gy_ini[13,62] = -1.58482814504483
struct[0].Gy_ini[13,63] = -7.89461337514771
struct[0].Gy_ini[13,157] = 1
struct[0].Gy_ini[14,8] = 7.89461337514771
struct[0].Gy_ini[14,9] = -1.58482814504483
struct[0].Gy_ini[14,10] = 7.72144347466701
struct[0].Gy_ini[14,11] = -0.679918453285308
struct[0].Gy_ini[14,12] = 7.89461337514771
struct[0].Gy_ini[14,13] = -1.58482814504483
struct[0].Gy_ini[14,14] = -26.5550693004806
struct[0].Gy_ini[14,15] = -4.84676915585801
struct[0].Gy_ini[14,56] = -7.89461337514771
struct[0].Gy_ini[14,57] = 1.58482814504483
struct[0].Gy_ini[14,58] = -7.72144347466701
struct[0].Gy_ini[14,59] = 0.679918453285308
struct[0].Gy_ini[14,60] = -7.89461337514771
struct[0].Gy_ini[14,61] = 1.58482814504483
struct[0].Gy_ini[14,62] = 26.5300693004806
struct[0].Gy_ini[14,63] = 4.84676915585801
struct[0].Gy_ini[14,158] = 1
struct[0].Gy_ini[15,8] = 1.58482814504483
struct[0].Gy_ini[15,9] = 7.89461337514771
struct[0].Gy_ini[15,10] = 0.679918453285308
struct[0].Gy_ini[15,11] = 7.72144347466701
struct[0].Gy_ini[15,12] = 1.58482814504483
struct[0].Gy_ini[15,13] = 7.89461337514771
struct[0].Gy_ini[15,14] = 4.84676915585801
struct[0].Gy_ini[15,15] = -26.5550693004806
struct[0].Gy_ini[15,56] = -1.58482814504483
struct[0].Gy_ini[15,57] = -7.89461337514771
struct[0].Gy_ini[15,58] = -0.679918453285308
struct[0].Gy_ini[15,59] = -7.72144347466701
struct[0].Gy_ini[15,60] = -1.58482814504483
struct[0].Gy_ini[15,61] = -7.89461337514771
struct[0].Gy_ini[15,62] = -4.84676915585801
struct[0].Gy_ini[15,63] = 26.5300693004806
struct[0].Gy_ini[15,159] = 1
struct[0].Gy_ini[16,16] = -26.5300693004806
struct[0].Gy_ini[16,17] = -4.84676915585801
struct[0].Gy_ini[16,18] = 7.89461337514770
struct[0].Gy_ini[16,19] = -1.58482814504483
struct[0].Gy_ini[16,20] = 7.72144347466701
struct[0].Gy_ini[16,21] = -0.679918453285310
struct[0].Gy_ini[16,22] = 7.89461337514771
struct[0].Gy_ini[16,23] = -1.58482814504483
struct[0].Gy_ini[16,136] = 26.5300693004806
struct[0].Gy_ini[16,137] = 4.84676915585801
struct[0].Gy_ini[16,138] = -7.89461337514770
struct[0].Gy_ini[16,139] = 1.58482814504483
struct[0].Gy_ini[16,140] = -7.72144347466701
struct[0].Gy_ini[16,141] = 0.679918453285310
struct[0].Gy_ini[16,142] = -7.89461337514771
struct[0].Gy_ini[16,143] = 1.58482814504483
struct[0].Gy_ini[16,160] = 1
struct[0].Gy_ini[17,16] = 4.84676915585801
struct[0].Gy_ini[17,17] = -26.5300693004806
struct[0].Gy_ini[17,18] = 1.58482814504483
struct[0].Gy_ini[17,19] = 7.89461337514770
struct[0].Gy_ini[17,20] = 0.679918453285310
struct[0].Gy_ini[17,21] = 7.72144347466701
struct[0].Gy_ini[17,22] = 1.58482814504483
struct[0].Gy_ini[17,23] = 7.89461337514771
struct[0].Gy_ini[17,136] = -4.84676915585801
struct[0].Gy_ini[17,137] = 26.5300693004806
struct[0].Gy_ini[17,138] = -1.58482814504483
struct[0].Gy_ini[17,139] = -7.89461337514770
struct[0].Gy_ini[17,140] = -0.679918453285310
struct[0].Gy_ini[17,141] = -7.72144347466701
struct[0].Gy_ini[17,142] = -1.58482814504483
struct[0].Gy_ini[17,143] = -7.89461337514771
struct[0].Gy_ini[17,161] = 1
struct[0].Gy_ini[18,16] = 7.89461337514771
struct[0].Gy_ini[18,17] = -1.58482814504483
struct[0].Gy_ini[18,18] = -26.5300693004806
struct[0].Gy_ini[18,19] = -4.84676915585801
struct[0].Gy_ini[18,20] = 7.89461337514771
struct[0].Gy_ini[18,21] = -1.58482814504483
struct[0].Gy_ini[18,22] = 7.72144347466701
struct[0].Gy_ini[18,23] = -0.679918453285308
struct[0].Gy_ini[18,136] = -7.89461337514771
struct[0].Gy_ini[18,137] = 1.58482814504483
struct[0].Gy_ini[18,138] = 26.5300693004806
struct[0].Gy_ini[18,139] = 4.84676915585801
struct[0].Gy_ini[18,140] = -7.89461337514771
struct[0].Gy_ini[18,141] = 1.58482814504483
struct[0].Gy_ini[18,142] = -7.72144347466701
struct[0].Gy_ini[18,143] = 0.679918453285308
struct[0].Gy_ini[18,162] = 1
struct[0].Gy_ini[19,16] = 1.58482814504483
struct[0].Gy_ini[19,17] = 7.89461337514771
struct[0].Gy_ini[19,18] = 4.84676915585801
struct[0].Gy_ini[19,19] = -26.5300693004806
struct[0].Gy_ini[19,20] = 1.58482814504483
struct[0].Gy_ini[19,21] = 7.89461337514771
struct[0].Gy_ini[19,22] = 0.679918453285308
struct[0].Gy_ini[19,23] = 7.72144347466701
struct[0].Gy_ini[19,136] = -1.58482814504483
struct[0].Gy_ini[19,137] = -7.89461337514771
struct[0].Gy_ini[19,138] = -4.84676915585801
struct[0].Gy_ini[19,139] = 26.5300693004806
struct[0].Gy_ini[19,140] = -1.58482814504483
struct[0].Gy_ini[19,141] = -7.89461337514771
struct[0].Gy_ini[19,142] = -0.679918453285308
struct[0].Gy_ini[19,143] = -7.72144347466701
struct[0].Gy_ini[19,163] = 1
struct[0].Gy_ini[20,16] = 7.72144347466701
struct[0].Gy_ini[20,17] = -0.679918453285310
struct[0].Gy_ini[20,18] = 7.89461337514770
struct[0].Gy_ini[20,19] = -1.58482814504483
struct[0].Gy_ini[20,20] = -26.5300693004806
struct[0].Gy_ini[20,21] = -4.84676915585801
struct[0].Gy_ini[20,22] = 7.89461337514771
struct[0].Gy_ini[20,23] = -1.58482814504483
struct[0].Gy_ini[20,136] = -7.72144347466701
struct[0].Gy_ini[20,137] = 0.679918453285310
struct[0].Gy_ini[20,138] = -7.89461337514770
struct[0].Gy_ini[20,139] = 1.58482814504483
struct[0].Gy_ini[20,140] = 26.5300693004806
struct[0].Gy_ini[20,141] = 4.84676915585801
struct[0].Gy_ini[20,142] = -7.89461337514771
struct[0].Gy_ini[20,143] = 1.58482814504483
struct[0].Gy_ini[20,164] = 1
struct[0].Gy_ini[21,16] = 0.679918453285310
struct[0].Gy_ini[21,17] = 7.72144347466701
struct[0].Gy_ini[21,18] = 1.58482814504483
struct[0].Gy_ini[21,19] = 7.89461337514770
struct[0].Gy_ini[21,20] = 4.84676915585801
struct[0].Gy_ini[21,21] = -26.5300693004806
struct[0].Gy_ini[21,22] = 1.58482814504483
struct[0].Gy_ini[21,23] = 7.89461337514771
struct[0].Gy_ini[21,136] = -0.679918453285310
struct[0].Gy_ini[21,137] = -7.72144347466701
struct[0].Gy_ini[21,138] = -1.58482814504483
struct[0].Gy_ini[21,139] = -7.89461337514770
struct[0].Gy_ini[21,140] = -4.84676915585801
struct[0].Gy_ini[21,141] = 26.5300693004806
struct[0].Gy_ini[21,142] = -1.58482814504483
struct[0].Gy_ini[21,143] = -7.89461337514771
struct[0].Gy_ini[21,165] = 1
struct[0].Gy_ini[22,16] = 7.89461337514771
struct[0].Gy_ini[22,17] = -1.58482814504483
struct[0].Gy_ini[22,18] = 7.72144347466701
struct[0].Gy_ini[22,19] = -0.679918453285308
struct[0].Gy_ini[22,20] = 7.89461337514771
struct[0].Gy_ini[22,21] = -1.58482814504483
struct[0].Gy_ini[22,22] = -26.5550693004806
struct[0].Gy_ini[22,23] = -4.84676915585801
struct[0].Gy_ini[22,136] = -7.89461337514771
struct[0].Gy_ini[22,137] = 1.58482814504483
struct[0].Gy_ini[22,138] = -7.72144347466701
struct[0].Gy_ini[22,139] = 0.679918453285308
struct[0].Gy_ini[22,140] = -7.89461337514771
struct[0].Gy_ini[22,141] = 1.58482814504483
struct[0].Gy_ini[22,142] = 26.5300693004806
struct[0].Gy_ini[22,143] = 4.84676915585801
struct[0].Gy_ini[22,166] = 1
struct[0].Gy_ini[23,16] = 1.58482814504483
struct[0].Gy_ini[23,17] = 7.89461337514771
struct[0].Gy_ini[23,18] = 0.679918453285308
struct[0].Gy_ini[23,19] = 7.72144347466701
struct[0].Gy_ini[23,20] = 1.58482814504483
struct[0].Gy_ini[23,21] = 7.89461337514771
struct[0].Gy_ini[23,22] = 4.84676915585801
struct[0].Gy_ini[23,23] = -26.5550693004806
struct[0].Gy_ini[23,136] = -1.58482814504483
struct[0].Gy_ini[23,137] = -7.89461337514771
struct[0].Gy_ini[23,138] = -0.679918453285308
struct[0].Gy_ini[23,139] = -7.72144347466701
struct[0].Gy_ini[23,140] = -1.58482814504483
struct[0].Gy_ini[23,141] = -7.89461337514771
struct[0].Gy_ini[23,142] = -4.84676915585801
struct[0].Gy_ini[23,143] = 26.5300693004806
struct[0].Gy_ini[23,167] = 1
struct[0].Gy_ini[24,24] = -30.9517475172273
struct[0].Gy_ini[24,25] = -5.65456401516768
struct[0].Gy_ini[24,26] = 9.21038227100566
struct[0].Gy_ini[24,27] = -1.84896616921897
struct[0].Gy_ini[24,28] = 9.00835072044485
struct[0].Gy_ini[24,29] = -0.793238195499529
struct[0].Gy_ini[24,30] = 9.21038227100566
struct[0].Gy_ini[24,31] = -1.84896616921897
struct[0].Gy_ini[24,80] = 30.9517475172273
struct[0].Gy_ini[24,81] = 5.65456401516768
struct[0].Gy_ini[24,82] = -9.21038227100566
struct[0].Gy_ini[24,83] = 1.84896616921897
struct[0].Gy_ini[24,84] = -9.00835072044485
struct[0].Gy_ini[24,85] = 0.793238195499529
struct[0].Gy_ini[24,86] = -9.21038227100566
struct[0].Gy_ini[24,87] = 1.84896616921897
struct[0].Gy_ini[24,168] = 1
struct[0].Gy_ini[25,24] = 5.65456401516768
struct[0].Gy_ini[25,25] = -30.9517475172273
struct[0].Gy_ini[25,26] = 1.84896616921897
struct[0].Gy_ini[25,27] = 9.21038227100566
struct[0].Gy_ini[25,28] = 0.793238195499529
struct[0].Gy_ini[25,29] = 9.00835072044485
struct[0].Gy_ini[25,30] = 1.84896616921897
struct[0].Gy_ini[25,31] = 9.21038227100566
struct[0].Gy_ini[25,80] = -5.65456401516768
struct[0].Gy_ini[25,81] = 30.9517475172273
struct[0].Gy_ini[25,82] = -1.84896616921897
struct[0].Gy_ini[25,83] = -9.21038227100566
struct[0].Gy_ini[25,84] = -0.793238195499529
struct[0].Gy_ini[25,85] = -9.00835072044485
struct[0].Gy_ini[25,86] = -1.84896616921897
struct[0].Gy_ini[25,87] = -9.21038227100566
struct[0].Gy_ini[25,169] = 1
struct[0].Gy_ini[26,24] = 9.21038227100566
struct[0].Gy_ini[26,25] = -1.84896616921897
struct[0].Gy_ini[26,26] = -30.9517475172273
struct[0].Gy_ini[26,27] = -5.65456401516768
struct[0].Gy_ini[26,28] = 9.21038227100566
struct[0].Gy_ini[26,29] = -1.84896616921897
struct[0].Gy_ini[26,30] = 9.00835072044485
struct[0].Gy_ini[26,31] = -0.793238195499528
struct[0].Gy_ini[26,80] = -9.21038227100566
struct[0].Gy_ini[26,81] = 1.84896616921897
struct[0].Gy_ini[26,82] = 30.9517475172273
struct[0].Gy_ini[26,83] = 5.65456401516768
struct[0].Gy_ini[26,84] = -9.21038227100566
struct[0].Gy_ini[26,85] = 1.84896616921897
struct[0].Gy_ini[26,86] = -9.00835072044485
struct[0].Gy_ini[26,87] = 0.793238195499528
struct[0].Gy_ini[26,170] = 1
struct[0].Gy_ini[27,24] = 1.84896616921897
struct[0].Gy_ini[27,25] = 9.21038227100566
struct[0].Gy_ini[27,26] = 5.65456401516768
struct[0].Gy_ini[27,27] = -30.9517475172273
struct[0].Gy_ini[27,28] = 1.84896616921897
struct[0].Gy_ini[27,29] = 9.21038227100566
struct[0].Gy_ini[27,30] = 0.793238195499528
struct[0].Gy_ini[27,31] = 9.00835072044485
struct[0].Gy_ini[27,80] = -1.84896616921897
struct[0].Gy_ini[27,81] = -9.21038227100566
struct[0].Gy_ini[27,82] = -5.65456401516768
struct[0].Gy_ini[27,83] = 30.9517475172273
struct[0].Gy_ini[27,84] = -1.84896616921897
struct[0].Gy_ini[27,85] = -9.21038227100566
struct[0].Gy_ini[27,86] = -0.793238195499528
struct[0].Gy_ini[27,87] = -9.00835072044485
struct[0].Gy_ini[27,171] = 1
struct[0].Gy_ini[28,24] = 9.00835072044484
struct[0].Gy_ini[28,25] = -0.793238195499527
struct[0].Gy_ini[28,26] = 9.21038227100566
struct[0].Gy_ini[28,27] = -1.84896616921897
struct[0].Gy_ini[28,28] = -30.9517475172273
struct[0].Gy_ini[28,29] = -5.65456401516768
struct[0].Gy_ini[28,30] = 9.21038227100566
struct[0].Gy_ini[28,31] = -1.84896616921897
struct[0].Gy_ini[28,80] = -9.00835072044484
struct[0].Gy_ini[28,81] = 0.793238195499527
struct[0].Gy_ini[28,82] = -9.21038227100566
struct[0].Gy_ini[28,83] = 1.84896616921897
struct[0].Gy_ini[28,84] = 30.9517475172273
struct[0].Gy_ini[28,85] = 5.65456401516768
struct[0].Gy_ini[28,86] = -9.21038227100566
struct[0].Gy_ini[28,87] = 1.84896616921897
struct[0].Gy_ini[28,172] = 1
struct[0].Gy_ini[29,24] = 0.793238195499527
struct[0].Gy_ini[29,25] = 9.00835072044484
struct[0].Gy_ini[29,26] = 1.84896616921897
struct[0].Gy_ini[29,27] = 9.21038227100566
struct[0].Gy_ini[29,28] = 5.65456401516768
struct[0].Gy_ini[29,29] = -30.9517475172273
struct[0].Gy_ini[29,30] = 1.84896616921897
struct[0].Gy_ini[29,31] = 9.21038227100566
struct[0].Gy_ini[29,80] = -0.793238195499527
struct[0].Gy_ini[29,81] = -9.00835072044484
struct[0].Gy_ini[29,82] = -1.84896616921897
struct[0].Gy_ini[29,83] = -9.21038227100566
struct[0].Gy_ini[29,84] = -5.65456401516768
struct[0].Gy_ini[29,85] = 30.9517475172273
struct[0].Gy_ini[29,86] = -1.84896616921897
struct[0].Gy_ini[29,87] = -9.21038227100566
struct[0].Gy_ini[29,173] = 1
struct[0].Gy_ini[30,24] = 9.21038227100566
struct[0].Gy_ini[30,25] = -1.84896616921897
struct[0].Gy_ini[30,26] = 9.00835072044485
struct[0].Gy_ini[30,27] = -0.793238195499527
struct[0].Gy_ini[30,28] = 9.21038227100566
struct[0].Gy_ini[30,29] = -1.84896616921897
struct[0].Gy_ini[30,30] = -30.9767475172273
struct[0].Gy_ini[30,31] = -5.65456401516768
struct[0].Gy_ini[30,80] = -9.21038227100566
struct[0].Gy_ini[30,81] = 1.84896616921897
struct[0].Gy_ini[30,82] = -9.00835072044485
struct[0].Gy_ini[30,83] = 0.793238195499527
struct[0].Gy_ini[30,84] = -9.21038227100566
struct[0].Gy_ini[30,85] = 1.84896616921897
struct[0].Gy_ini[30,86] = 30.9517475172273
struct[0].Gy_ini[30,87] = 5.65456401516768
struct[0].Gy_ini[30,174] = 1
struct[0].Gy_ini[31,24] = 1.84896616921897
struct[0].Gy_ini[31,25] = 9.21038227100566
struct[0].Gy_ini[31,26] = 0.793238195499527
struct[0].Gy_ini[31,27] = 9.00835072044485
struct[0].Gy_ini[31,28] = 1.84896616921897
struct[0].Gy_ini[31,29] = 9.21038227100566
struct[0].Gy_ini[31,30] = 5.65456401516768
struct[0].Gy_ini[31,31] = -30.9767475172273
struct[0].Gy_ini[31,80] = -1.84896616921897
struct[0].Gy_ini[31,81] = -9.21038227100566
struct[0].Gy_ini[31,82] = -0.793238195499527
struct[0].Gy_ini[31,83] = -9.00835072044485
struct[0].Gy_ini[31,84] = -1.84896616921897
struct[0].Gy_ini[31,85] = -9.21038227100566
struct[0].Gy_ini[31,86] = -5.65456401516768
struct[0].Gy_ini[31,87] = 30.9517475172273
struct[0].Gy_ini[31,175] = 1
struct[0].Gy_ini[32,32] = -30.9517475172273
struct[0].Gy_ini[32,33] = -5.65456401516768
struct[0].Gy_ini[32,34] = 9.21038227100566
struct[0].Gy_ini[32,35] = -1.84896616921897
struct[0].Gy_ini[32,36] = 9.00835072044485
struct[0].Gy_ini[32,37] = -0.793238195499529
struct[0].Gy_ini[32,38] = 9.21038227100566
struct[0].Gy_ini[32,39] = -1.84896616921897
struct[0].Gy_ini[32,104] = 30.9517475172273
struct[0].Gy_ini[32,105] = 5.65456401516768
struct[0].Gy_ini[32,106] = -9.21038227100566
struct[0].Gy_ini[32,107] = 1.84896616921897
struct[0].Gy_ini[32,108] = -9.00835072044485
struct[0].Gy_ini[32,109] = 0.793238195499529
struct[0].Gy_ini[32,110] = -9.21038227100566
struct[0].Gy_ini[32,111] = 1.84896616921897
struct[0].Gy_ini[32,176] = 1
struct[0].Gy_ini[33,32] = 5.65456401516768
struct[0].Gy_ini[33,33] = -30.9517475172273
struct[0].Gy_ini[33,34] = 1.84896616921897
struct[0].Gy_ini[33,35] = 9.21038227100566
struct[0].Gy_ini[33,36] = 0.793238195499529
struct[0].Gy_ini[33,37] = 9.00835072044485
struct[0].Gy_ini[33,38] = 1.84896616921897
struct[0].Gy_ini[33,39] = 9.21038227100566
struct[0].Gy_ini[33,104] = -5.65456401516768
struct[0].Gy_ini[33,105] = 30.9517475172273
struct[0].Gy_ini[33,106] = -1.84896616921897
struct[0].Gy_ini[33,107] = -9.21038227100566
struct[0].Gy_ini[33,108] = -0.793238195499529
struct[0].Gy_ini[33,109] = -9.00835072044485
struct[0].Gy_ini[33,110] = -1.84896616921897
struct[0].Gy_ini[33,111] = -9.21038227100566
struct[0].Gy_ini[33,177] = 1
struct[0].Gy_ini[34,32] = 9.21038227100566
struct[0].Gy_ini[34,33] = -1.84896616921897
struct[0].Gy_ini[34,34] = -30.9517475172273
struct[0].Gy_ini[34,35] = -5.65456401516768
struct[0].Gy_ini[34,36] = 9.21038227100566
struct[0].Gy_ini[34,37] = -1.84896616921897
struct[0].Gy_ini[34,38] = 9.00835072044485
struct[0].Gy_ini[34,39] = -0.793238195499528
struct[0].Gy_ini[34,104] = -9.21038227100566
struct[0].Gy_ini[34,105] = 1.84896616921897
struct[0].Gy_ini[34,106] = 30.9517475172273
struct[0].Gy_ini[34,107] = 5.65456401516768
struct[0].Gy_ini[34,108] = -9.21038227100566
struct[0].Gy_ini[34,109] = 1.84896616921897
struct[0].Gy_ini[34,110] = -9.00835072044485
struct[0].Gy_ini[34,111] = 0.793238195499528
struct[0].Gy_ini[34,178] = 1
struct[0].Gy_ini[35,32] = 1.84896616921897
struct[0].Gy_ini[35,33] = 9.21038227100566
struct[0].Gy_ini[35,34] = 5.65456401516768
struct[0].Gy_ini[35,35] = -30.9517475172273
struct[0].Gy_ini[35,36] = 1.84896616921897
struct[0].Gy_ini[35,37] = 9.21038227100566
struct[0].Gy_ini[35,38] = 0.793238195499528
struct[0].Gy_ini[35,39] = 9.00835072044485
struct[0].Gy_ini[35,104] = -1.84896616921897
struct[0].Gy_ini[35,105] = -9.21038227100566
struct[0].Gy_ini[35,106] = -5.65456401516768
struct[0].Gy_ini[35,107] = 30.9517475172273
struct[0].Gy_ini[35,108] = -1.84896616921897
struct[0].Gy_ini[35,109] = -9.21038227100566
struct[0].Gy_ini[35,110] = -0.793238195499528
struct[0].Gy_ini[35,111] = -9.00835072044485
struct[0].Gy_ini[35,179] = 1
struct[0].Gy_ini[36,32] = 9.00835072044484
struct[0].Gy_ini[36,33] = -0.793238195499527
struct[0].Gy_ini[36,34] = 9.21038227100566
struct[0].Gy_ini[36,35] = -1.84896616921897
struct[0].Gy_ini[36,36] = -30.9517475172273
struct[0].Gy_ini[36,37] = -5.65456401516768
struct[0].Gy_ini[36,38] = 9.21038227100566
struct[0].Gy_ini[36,39] = -1.84896616921897
struct[0].Gy_ini[36,104] = -9.00835072044484
struct[0].Gy_ini[36,105] = 0.793238195499527
struct[0].Gy_ini[36,106] = -9.21038227100566
struct[0].Gy_ini[36,107] = 1.84896616921897
struct[0].Gy_ini[36,108] = 30.9517475172273
struct[0].Gy_ini[36,109] = 5.65456401516768
struct[0].Gy_ini[36,110] = -9.21038227100566
struct[0].Gy_ini[36,111] = 1.84896616921897
struct[0].Gy_ini[36,180] = 1
struct[0].Gy_ini[37,32] = 0.793238195499527
struct[0].Gy_ini[37,33] = 9.00835072044484
struct[0].Gy_ini[37,34] = 1.84896616921897
struct[0].Gy_ini[37,35] = 9.21038227100566
struct[0].Gy_ini[37,36] = 5.65456401516768
struct[0].Gy_ini[37,37] = -30.9517475172273
struct[0].Gy_ini[37,38] = 1.84896616921897
struct[0].Gy_ini[37,39] = 9.21038227100566
struct[0].Gy_ini[37,104] = -0.793238195499527
struct[0].Gy_ini[37,105] = -9.00835072044484
struct[0].Gy_ini[37,106] = -1.84896616921897
struct[0].Gy_ini[37,107] = -9.21038227100566
struct[0].Gy_ini[37,108] = -5.65456401516768
struct[0].Gy_ini[37,109] = 30.9517475172273
struct[0].Gy_ini[37,110] = -1.84896616921897
struct[0].Gy_ini[37,111] = -9.21038227100566
struct[0].Gy_ini[37,181] = 1
struct[0].Gy_ini[38,32] = 9.21038227100566
struct[0].Gy_ini[38,33] = -1.84896616921897
struct[0].Gy_ini[38,34] = 9.00835072044485
struct[0].Gy_ini[38,35] = -0.793238195499527
struct[0].Gy_ini[38,36] = 9.21038227100566
struct[0].Gy_ini[38,37] = -1.84896616921897
struct[0].Gy_ini[38,38] = -30.9767475172273
struct[0].Gy_ini[38,39] = -5.65456401516768
struct[0].Gy_ini[38,104] = -9.21038227100566
struct[0].Gy_ini[38,105] = 1.84896616921897
struct[0].Gy_ini[38,106] = -9.00835072044485
struct[0].Gy_ini[38,107] = 0.793238195499527
struct[0].Gy_ini[38,108] = -9.21038227100566
struct[0].Gy_ini[38,109] = 1.84896616921897
struct[0].Gy_ini[38,110] = 30.9517475172273
struct[0].Gy_ini[38,111] = 5.65456401516768
struct[0].Gy_ini[38,182] = 1
struct[0].Gy_ini[39,32] = 1.84896616921897
struct[0].Gy_ini[39,33] = 9.21038227100566
struct[0].Gy_ini[39,34] = 0.793238195499527
struct[0].Gy_ini[39,35] = 9.00835072044485
struct[0].Gy_ini[39,36] = 1.84896616921897
struct[0].Gy_ini[39,37] = 9.21038227100566
struct[0].Gy_ini[39,38] = 5.65456401516768
struct[0].Gy_ini[39,39] = -30.9767475172273
struct[0].Gy_ini[39,104] = -1.84896616921897
struct[0].Gy_ini[39,105] = -9.21038227100566
struct[0].Gy_ini[39,106] = -0.793238195499527
struct[0].Gy_ini[39,107] = -9.00835072044485
struct[0].Gy_ini[39,108] = -1.84896616921897
struct[0].Gy_ini[39,109] = -9.21038227100566
struct[0].Gy_ini[39,110] = -5.65456401516768
struct[0].Gy_ini[39,111] = 30.9517475172273
struct[0].Gy_ini[39,183] = 1
struct[0].Gy_ini[40,40] = -30.9517475172273
struct[0].Gy_ini[40,41] = -5.65456401516768
struct[0].Gy_ini[40,42] = 9.21038227100566
struct[0].Gy_ini[40,43] = -1.84896616921897
struct[0].Gy_ini[40,44] = 9.00835072044485
struct[0].Gy_ini[40,45] = -0.793238195499529
struct[0].Gy_ini[40,46] = 9.21038227100566
struct[0].Gy_ini[40,47] = -1.84896616921897
struct[0].Gy_ini[40,112] = 30.9517475172273
struct[0].Gy_ini[40,113] = 5.65456401516768
struct[0].Gy_ini[40,114] = -9.21038227100566
struct[0].Gy_ini[40,115] = 1.84896616921897
struct[0].Gy_ini[40,116] = -9.00835072044485
struct[0].Gy_ini[40,117] = 0.793238195499529
struct[0].Gy_ini[40,118] = -9.21038227100566
struct[0].Gy_ini[40,119] = 1.84896616921897
struct[0].Gy_ini[40,184] = 1
struct[0].Gy_ini[41,40] = 5.65456401516768
struct[0].Gy_ini[41,41] = -30.9517475172273
struct[0].Gy_ini[41,42] = 1.84896616921897
struct[0].Gy_ini[41,43] = 9.21038227100566
struct[0].Gy_ini[41,44] = 0.793238195499529
struct[0].Gy_ini[41,45] = 9.00835072044485
struct[0].Gy_ini[41,46] = 1.84896616921897
struct[0].Gy_ini[41,47] = 9.21038227100566
struct[0].Gy_ini[41,112] = -5.65456401516768
struct[0].Gy_ini[41,113] = 30.9517475172273
struct[0].Gy_ini[41,114] = -1.84896616921897
struct[0].Gy_ini[41,115] = -9.21038227100566
struct[0].Gy_ini[41,116] = -0.793238195499529
struct[0].Gy_ini[41,117] = -9.00835072044485
struct[0].Gy_ini[41,118] = -1.84896616921897
struct[0].Gy_ini[41,119] = -9.21038227100566
struct[0].Gy_ini[41,185] = 1
struct[0].Gy_ini[42,40] = 9.21038227100566
struct[0].Gy_ini[42,41] = -1.84896616921897
struct[0].Gy_ini[42,42] = -30.9517475172273
struct[0].Gy_ini[42,43] = -5.65456401516768
struct[0].Gy_ini[42,44] = 9.21038227100566
struct[0].Gy_ini[42,45] = -1.84896616921897
struct[0].Gy_ini[42,46] = 9.00835072044485
struct[0].Gy_ini[42,47] = -0.793238195499528
struct[0].Gy_ini[42,112] = -9.21038227100566
struct[0].Gy_ini[42,113] = 1.84896616921897
struct[0].Gy_ini[42,114] = 30.9517475172273
struct[0].Gy_ini[42,115] = 5.65456401516768
struct[0].Gy_ini[42,116] = -9.21038227100566
struct[0].Gy_ini[42,117] = 1.84896616921897
struct[0].Gy_ini[42,118] = -9.00835072044485
struct[0].Gy_ini[42,119] = 0.793238195499528
struct[0].Gy_ini[42,186] = 1
struct[0].Gy_ini[43,40] = 1.84896616921897
struct[0].Gy_ini[43,41] = 9.21038227100566
struct[0].Gy_ini[43,42] = 5.65456401516768
struct[0].Gy_ini[43,43] = -30.9517475172273
struct[0].Gy_ini[43,44] = 1.84896616921897
struct[0].Gy_ini[43,45] = 9.21038227100566
struct[0].Gy_ini[43,46] = 0.793238195499528
struct[0].Gy_ini[43,47] = 9.00835072044485
struct[0].Gy_ini[43,112] = -1.84896616921897
struct[0].Gy_ini[43,113] = -9.21038227100566
struct[0].Gy_ini[43,114] = -5.65456401516768
struct[0].Gy_ini[43,115] = 30.9517475172273
struct[0].Gy_ini[43,116] = -1.84896616921897
struct[0].Gy_ini[43,117] = -9.21038227100566
struct[0].Gy_ini[43,118] = -0.793238195499528
struct[0].Gy_ini[43,119] = -9.00835072044485
struct[0].Gy_ini[43,187] = 1
struct[0].Gy_ini[44,40] = 9.00835072044484
struct[0].Gy_ini[44,41] = -0.793238195499527
struct[0].Gy_ini[44,42] = 9.21038227100566
struct[0].Gy_ini[44,43] = -1.84896616921897
struct[0].Gy_ini[44,44] = -30.9517475172273
struct[0].Gy_ini[44,45] = -5.65456401516768
struct[0].Gy_ini[44,46] = 9.21038227100566
struct[0].Gy_ini[44,47] = -1.84896616921897
struct[0].Gy_ini[44,112] = -9.00835072044484
struct[0].Gy_ini[44,113] = 0.793238195499527
struct[0].Gy_ini[44,114] = -9.21038227100566
struct[0].Gy_ini[44,115] = 1.84896616921897
struct[0].Gy_ini[44,116] = 30.9517475172273
struct[0].Gy_ini[44,117] = 5.65456401516768
struct[0].Gy_ini[44,118] = -9.21038227100566
struct[0].Gy_ini[44,119] = 1.84896616921897
struct[0].Gy_ini[44,188] = 1
struct[0].Gy_ini[45,40] = 0.793238195499527
struct[0].Gy_ini[45,41] = 9.00835072044484
struct[0].Gy_ini[45,42] = 1.84896616921897
struct[0].Gy_ini[45,43] = 9.21038227100566
struct[0].Gy_ini[45,44] = 5.65456401516768
struct[0].Gy_ini[45,45] = -30.9517475172273
struct[0].Gy_ini[45,46] = 1.84896616921897
struct[0].Gy_ini[45,47] = 9.21038227100566
struct[0].Gy_ini[45,112] = -0.793238195499527
struct[0].Gy_ini[45,113] = -9.00835072044484
struct[0].Gy_ini[45,114] = -1.84896616921897
struct[0].Gy_ini[45,115] = -9.21038227100566
struct[0].Gy_ini[45,116] = -5.65456401516768
struct[0].Gy_ini[45,117] = 30.9517475172273
struct[0].Gy_ini[45,118] = -1.84896616921897
struct[0].Gy_ini[45,119] = -9.21038227100566
struct[0].Gy_ini[45,189] = 1
struct[0].Gy_ini[46,40] = 9.21038227100566
struct[0].Gy_ini[46,41] = -1.84896616921897
struct[0].Gy_ini[46,42] = 9.00835072044485
struct[0].Gy_ini[46,43] = -0.793238195499527
struct[0].Gy_ini[46,44] = 9.21038227100566
struct[0].Gy_ini[46,45] = -1.84896616921897
struct[0].Gy_ini[46,46] = -30.9767475172273
struct[0].Gy_ini[46,47] = -5.65456401516768
struct[0].Gy_ini[46,112] = -9.21038227100566
struct[0].Gy_ini[46,113] = 1.84896616921897
struct[0].Gy_ini[46,114] = -9.00835072044485
struct[0].Gy_ini[46,115] = 0.793238195499527
struct[0].Gy_ini[46,116] = -9.21038227100566
struct[0].Gy_ini[46,117] = 1.84896616921897
struct[0].Gy_ini[46,118] = 30.9517475172273
struct[0].Gy_ini[46,119] = 5.65456401516768
struct[0].Gy_ini[46,190] = 1
struct[0].Gy_ini[47,40] = 1.84896616921897
struct[0].Gy_ini[47,41] = 9.21038227100566
struct[0].Gy_ini[47,42] = 0.793238195499527
struct[0].Gy_ini[47,43] = 9.00835072044485
struct[0].Gy_ini[47,44] = 1.84896616921897
struct[0].Gy_ini[47,45] = 9.21038227100566
struct[0].Gy_ini[47,46] = 5.65456401516768
struct[0].Gy_ini[47,47] = -30.9767475172273
struct[0].Gy_ini[47,112] = -1.84896616921897
struct[0].Gy_ini[47,113] = -9.21038227100566
struct[0].Gy_ini[47,114] = -0.793238195499527
struct[0].Gy_ini[47,115] = -9.00835072044485
struct[0].Gy_ini[47,116] = -1.84896616921897
struct[0].Gy_ini[47,117] = -9.21038227100566
struct[0].Gy_ini[47,118] = -5.65456401516768
struct[0].Gy_ini[47,119] = 30.9517475172273
struct[0].Gy_ini[47,191] = 1
struct[0].Gy_ini[48,0] = 105.571769313180
struct[0].Gy_ini[48,1] = 54.0657727682604
struct[0].Gy_ini[48,2] = -39.6392229058202
struct[0].Gy_ini[48,3] = -10.2713736253513
struct[0].Gy_ini[48,4] = -24.9575997948692
struct[0].Gy_ini[48,5] = -23.2849644809540
struct[0].Gy_ini[48,6] = -39.6392229058202
struct[0].Gy_ini[48,7] = -10.2713736253513
struct[0].Gy_ini[48,48] = -211.143538626360
struct[0].Gy_ini[48,49] = -108.131545536521
struct[0].Gy_ini[48,50] = 79.2784458116403
struct[0].Gy_ini[48,51] = 20.5427472507027
struct[0].Gy_ini[48,52] = 49.9151995897384
struct[0].Gy_ini[48,53] = 46.5699289619080
struct[0].Gy_ini[48,54] = 79.2784458116403
struct[0].Gy_ini[48,55] = 20.5427472507027
struct[0].Gy_ini[48,56] = 105.571769313180
struct[0].Gy_ini[48,57] = 54.0657727682604
struct[0].Gy_ini[48,58] = -39.6392229058202
struct[0].Gy_ini[48,59] = -10.2713736253513
struct[0].Gy_ini[48,60] = -24.9575997948692
struct[0].Gy_ini[48,61] = -23.2849644809540
struct[0].Gy_ini[48,62] = -39.6392229058202
struct[0].Gy_ini[48,63] = -10.2713736253513
struct[0].Gy_ini[49,0] = -54.0657727682604
struct[0].Gy_ini[49,1] = 105.571769313180
struct[0].Gy_ini[49,2] = 10.2713736253513
struct[0].Gy_ini[49,3] = -39.6392229058202
struct[0].Gy_ini[49,4] = 23.2849644809540
struct[0].Gy_ini[49,5] = -24.9575997948692
struct[0].Gy_ini[49,6] = 10.2713736253513
struct[0].Gy_ini[49,7] = -39.6392229058202
struct[0].Gy_ini[49,48] = 108.131545536521
struct[0].Gy_ini[49,49] = -211.143538626360
struct[0].Gy_ini[49,50] = -20.5427472507027
struct[0].Gy_ini[49,51] = 79.2784458116403
struct[0].Gy_ini[49,52] = -46.5699289619080
struct[0].Gy_ini[49,53] = 49.9151995897384
struct[0].Gy_ini[49,54] = -20.5427472507027
struct[0].Gy_ini[49,55] = 79.2784458116403
struct[0].Gy_ini[49,56] = -54.0657727682604
struct[0].Gy_ini[49,57] = 105.571769313180
struct[0].Gy_ini[49,58] = 10.2713736253513
struct[0].Gy_ini[49,59] = -39.6392229058202
struct[0].Gy_ini[49,60] = 23.2849644809540
struct[0].Gy_ini[49,61] = -24.9575997948692
struct[0].Gy_ini[49,62] = 10.2713736253513
struct[0].Gy_ini[49,63] = -39.6392229058202
struct[0].Gy_ini[50,0] = -39.6392229058202
struct[0].Gy_ini[50,1] = -10.2713736253513
struct[0].Gy_ini[50,2] = 105.571769313180
struct[0].Gy_ini[50,3] = 54.0657727682604
struct[0].Gy_ini[50,4] = -39.6392229058201
struct[0].Gy_ini[50,5] = -10.2713736253513
struct[0].Gy_ini[50,6] = -24.9575997948692
struct[0].Gy_ini[50,7] = -23.2849644809540
struct[0].Gy_ini[50,48] = 79.2784458116403
struct[0].Gy_ini[50,49] = 20.5427472507027
struct[0].Gy_ini[50,50] = -211.143538626360
struct[0].Gy_ini[50,51] = -108.131545536521
struct[0].Gy_ini[50,52] = 79.2784458116403
struct[0].Gy_ini[50,53] = 20.5427472507027
struct[0].Gy_ini[50,54] = 49.9151995897384
struct[0].Gy_ini[50,55] = 46.5699289619080
struct[0].Gy_ini[50,56] = -39.6392229058202
struct[0].Gy_ini[50,57] = -10.2713736253513
struct[0].Gy_ini[50,58] = 105.571769313180
struct[0].Gy_ini[50,59] = 54.0657727682604
struct[0].Gy_ini[50,60] = -39.6392229058201
struct[0].Gy_ini[50,61] = -10.2713736253513
struct[0].Gy_ini[50,62] = -24.9575997948692
struct[0].Gy_ini[50,63] = -23.2849644809540
struct[0].Gy_ini[51,0] = 10.2713736253513
struct[0].Gy_ini[51,1] = -39.6392229058202
struct[0].Gy_ini[51,2] = -54.0657727682604
struct[0].Gy_ini[51,3] = 105.571769313180
struct[0].Gy_ini[51,4] = 10.2713736253513
struct[0].Gy_ini[51,5] = -39.6392229058201
struct[0].Gy_ini[51,6] = 23.2849644809540
struct[0].Gy_ini[51,7] = -24.9575997948692
struct[0].Gy_ini[51,48] = -20.5427472507027
struct[0].Gy_ini[51,49] = 79.2784458116403
struct[0].Gy_ini[51,50] = 108.131545536521
struct[0].Gy_ini[51,51] = -211.143538626360
struct[0].Gy_ini[51,52] = -20.5427472507027
struct[0].Gy_ini[51,53] = 79.2784458116403
struct[0].Gy_ini[51,54] = -46.5699289619080
struct[0].Gy_ini[51,55] = 49.9151995897384
struct[0].Gy_ini[51,56] = 10.2713736253513
struct[0].Gy_ini[51,57] = -39.6392229058202
struct[0].Gy_ini[51,58] = -54.0657727682604
struct[0].Gy_ini[51,59] = 105.571769313180
struct[0].Gy_ini[51,60] = 10.2713736253513
struct[0].Gy_ini[51,61] = -39.6392229058201
struct[0].Gy_ini[51,62] = 23.2849644809540
struct[0].Gy_ini[51,63] = -24.9575997948692
struct[0].Gy_ini[52,0] = -24.9575997948692
struct[0].Gy_ini[52,1] = -23.2849644809540
struct[0].Gy_ini[52,2] = -39.6392229058202
struct[0].Gy_ini[52,3] = -10.2713736253513
struct[0].Gy_ini[52,4] = 105.571769313180
struct[0].Gy_ini[52,5] = 54.0657727682604
struct[0].Gy_ini[52,6] = -39.6392229058201
struct[0].Gy_ini[52,7] = -10.2713736253514
struct[0].Gy_ini[52,48] = 49.9151995897384
struct[0].Gy_ini[52,49] = 46.5699289619080
struct[0].Gy_ini[52,50] = 79.2784458116404
struct[0].Gy_ini[52,51] = 20.5427472507027
struct[0].Gy_ini[52,52] = -211.143538626360
struct[0].Gy_ini[52,53] = -108.131545536521
struct[0].Gy_ini[52,54] = 79.2784458116403
struct[0].Gy_ini[52,55] = 20.5427472507027
struct[0].Gy_ini[52,56] = -24.9575997948692
struct[0].Gy_ini[52,57] = -23.2849644809540
struct[0].Gy_ini[52,58] = -39.6392229058202
struct[0].Gy_ini[52,59] = -10.2713736253513
struct[0].Gy_ini[52,60] = 105.571769313180
struct[0].Gy_ini[52,61] = 54.0657727682604
struct[0].Gy_ini[52,62] = -39.6392229058201
struct[0].Gy_ini[52,63] = -10.2713736253514
struct[0].Gy_ini[53,0] = 23.2849644809540
struct[0].Gy_ini[53,1] = -24.9575997948692
struct[0].Gy_ini[53,2] = 10.2713736253513
struct[0].Gy_ini[53,3] = -39.6392229058202
struct[0].Gy_ini[53,4] = -54.0657727682604
struct[0].Gy_ini[53,5] = 105.571769313180
struct[0].Gy_ini[53,6] = 10.2713736253514
struct[0].Gy_ini[53,7] = -39.6392229058201
struct[0].Gy_ini[53,48] = -46.5699289619080
struct[0].Gy_ini[53,49] = 49.9151995897384
struct[0].Gy_ini[53,50] = -20.5427472507027
struct[0].Gy_ini[53,51] = 79.2784458116404
struct[0].Gy_ini[53,52] = 108.131545536521
struct[0].Gy_ini[53,53] = -211.143538626360
struct[0].Gy_ini[53,54] = -20.5427472507027
struct[0].Gy_ini[53,55] = 79.2784458116403
struct[0].Gy_ini[53,56] = 23.2849644809540
struct[0].Gy_ini[53,57] = -24.9575997948692
struct[0].Gy_ini[53,58] = 10.2713736253513
struct[0].Gy_ini[53,59] = -39.6392229058202
struct[0].Gy_ini[53,60] = -54.0657727682604
struct[0].Gy_ini[53,61] = 105.571769313180
struct[0].Gy_ini[53,62] = 10.2713736253514
struct[0].Gy_ini[53,63] = -39.6392229058201
struct[0].Gy_ini[54,0] = -39.6392229058202
struct[0].Gy_ini[54,1] = -10.2713736253513
struct[0].Gy_ini[54,2] = -24.9575997948692
struct[0].Gy_ini[54,3] = -23.2849644809540
struct[0].Gy_ini[54,4] = -39.6392229058202
struct[0].Gy_ini[54,5] = -10.2713736253513
struct[0].Gy_ini[54,6] = 105.571769313180
struct[0].Gy_ini[54,7] = 54.0657727682604
struct[0].Gy_ini[54,48] = 79.2784458116403
struct[0].Gy_ini[54,49] = 20.5427472507027
struct[0].Gy_ini[54,50] = 49.9151995897384
struct[0].Gy_ini[54,51] = 46.5699289619080
struct[0].Gy_ini[54,52] = 79.2784458116403
struct[0].Gy_ini[54,53] = 20.5427472507027
struct[0].Gy_ini[54,54] = -211.168538626360
struct[0].Gy_ini[54,55] = -108.131545536521
struct[0].Gy_ini[54,56] = -39.6392229058202
struct[0].Gy_ini[54,57] = -10.2713736253513
struct[0].Gy_ini[54,58] = -24.9575997948692
struct[0].Gy_ini[54,59] = -23.2849644809540
struct[0].Gy_ini[54,60] = -39.6392229058202
struct[0].Gy_ini[54,61] = -10.2713736253513
struct[0].Gy_ini[54,62] = 105.571769313180
struct[0].Gy_ini[54,63] = 54.0657727682604
struct[0].Gy_ini[55,0] = 10.2713736253513
struct[0].Gy_ini[55,1] = -39.6392229058202
struct[0].Gy_ini[55,2] = 23.2849644809540
struct[0].Gy_ini[55,3] = -24.9575997948692
struct[0].Gy_ini[55,4] = 10.2713736253513
struct[0].Gy_ini[55,5] = -39.6392229058202
struct[0].Gy_ini[55,6] = -54.0657727682604
struct[0].Gy_ini[55,7] = 105.571769313180
struct[0].Gy_ini[55,48] = -20.5427472507027
struct[0].Gy_ini[55,49] = 79.2784458116403
struct[0].Gy_ini[55,50] = -46.5699289619080
struct[0].Gy_ini[55,51] = 49.9151995897384
struct[0].Gy_ini[55,52] = -20.5427472507027
struct[0].Gy_ini[55,53] = 79.2784458116403
struct[0].Gy_ini[55,54] = 108.131545536521
struct[0].Gy_ini[55,55] = -211.168538626360
struct[0].Gy_ini[55,56] = 10.2713736253513
struct[0].Gy_ini[55,57] = -39.6392229058202
struct[0].Gy_ini[55,58] = 23.2849644809540
struct[0].Gy_ini[55,59] = -24.9575997948692
struct[0].Gy_ini[55,60] = 10.2713736253513
struct[0].Gy_ini[55,61] = -39.6392229058202
struct[0].Gy_ini[55,62] = -54.0657727682604
struct[0].Gy_ini[55,63] = 105.571769313180
struct[0].Gy_ini[56,8] = 26.5300693004806
struct[0].Gy_ini[56,9] = 4.84676915585801
struct[0].Gy_ini[56,10] = -7.89461337514770
struct[0].Gy_ini[56,11] = 1.58482814504483
struct[0].Gy_ini[56,12] = -7.72144347466701
struct[0].Gy_ini[56,13] = 0.679918453285310
struct[0].Gy_ini[56,14] = -7.89461337514771
struct[0].Gy_ini[56,15] = 1.58482814504483
struct[0].Gy_ini[56,48] = 105.571769313180
struct[0].Gy_ini[56,49] = 54.0657727682604
struct[0].Gy_ini[56,50] = -39.6392229058202
struct[0].Gy_ini[56,51] = -10.2713736253513
struct[0].Gy_ini[56,52] = -24.9575997948692
struct[0].Gy_ini[56,53] = -23.2849644809540
struct[0].Gy_ini[56,54] = -39.6392229058202
struct[0].Gy_ini[56,55] = -10.2713736253513
struct[0].Gy_ini[56,56] = -237.673607926841
struct[0].Gy_ini[56,57] = -112.978314692379
struct[0].Gy_ini[56,58] = 87.1730591867880
struct[0].Gy_ini[56,59] = 18.9579191056578
struct[0].Gy_ini[56,60] = 57.6366430644055
struct[0].Gy_ini[56,61] = 45.8900105086227
struct[0].Gy_ini[56,62] = 87.1730591867880
struct[0].Gy_ini[56,63] = 18.9579191056579
struct[0].Gy_ini[56,64] = 105.571769313180
struct[0].Gy_ini[56,65] = 54.0657727682604
struct[0].Gy_ini[56,66] = -39.6392229058202
struct[0].Gy_ini[56,67] = -10.2713736253513
struct[0].Gy_ini[56,68] = -24.9575997948692
struct[0].Gy_ini[56,69] = -23.2849644809540
struct[0].Gy_ini[56,70] = -39.6392229058202
struct[0].Gy_ini[56,71] = -10.2713736253513
struct[0].Gy_ini[57,8] = -4.84676915585801
struct[0].Gy_ini[57,9] = 26.5300693004806
struct[0].Gy_ini[57,10] = -1.58482814504483
struct[0].Gy_ini[57,11] = -7.89461337514770
struct[0].Gy_ini[57,12] = -0.679918453285310
struct[0].Gy_ini[57,13] = -7.72144347466701
struct[0].Gy_ini[57,14] = -1.58482814504483
struct[0].Gy_ini[57,15] = -7.89461337514771
struct[0].Gy_ini[57,48] = -54.0657727682604
struct[0].Gy_ini[57,49] = 105.571769313180
struct[0].Gy_ini[57,50] = 10.2713736253513
struct[0].Gy_ini[57,51] = -39.6392229058202
struct[0].Gy_ini[57,52] = 23.2849644809540
struct[0].Gy_ini[57,53] = -24.9575997948692
struct[0].Gy_ini[57,54] = 10.2713736253513
struct[0].Gy_ini[57,55] = -39.6392229058202
struct[0].Gy_ini[57,56] = 112.978314692379
struct[0].Gy_ini[57,57] = -237.673607926841
struct[0].Gy_ini[57,58] = -18.9579191056578
struct[0].Gy_ini[57,59] = 87.1730591867880
struct[0].Gy_ini[57,60] = -45.8900105086227
struct[0].Gy_ini[57,61] = 57.6366430644055
struct[0].Gy_ini[57,62] = -18.9579191056579
struct[0].Gy_ini[57,63] = 87.1730591867880
struct[0].Gy_ini[57,64] = -54.0657727682604
struct[0].Gy_ini[57,65] = 105.571769313180
struct[0].Gy_ini[57,66] = 10.2713736253513
struct[0].Gy_ini[57,67] = -39.6392229058202
struct[0].Gy_ini[57,68] = 23.2849644809540
struct[0].Gy_ini[57,69] = -24.9575997948692
struct[0].Gy_ini[57,70] = 10.2713736253513
struct[0].Gy_ini[57,71] = -39.6392229058202
struct[0].Gy_ini[58,8] = -7.89461337514771
struct[0].Gy_ini[58,9] = 1.58482814504483
struct[0].Gy_ini[58,10] = 26.5300693004806
struct[0].Gy_ini[58,11] = 4.84676915585801
struct[0].Gy_ini[58,12] = -7.89461337514771
struct[0].Gy_ini[58,13] = 1.58482814504483
struct[0].Gy_ini[58,14] = -7.72144347466701
struct[0].Gy_ini[58,15] = 0.679918453285308
struct[0].Gy_ini[58,48] = -39.6392229058202
struct[0].Gy_ini[58,49] = -10.2713736253513
struct[0].Gy_ini[58,50] = 105.571769313180
struct[0].Gy_ini[58,51] = 54.0657727682604
struct[0].Gy_ini[58,52] = -39.6392229058201
struct[0].Gy_ini[58,53] = -10.2713736253513
struct[0].Gy_ini[58,54] = -24.9575997948692
struct[0].Gy_ini[58,55] = -23.2849644809540
struct[0].Gy_ini[58,56] = 87.1730591867880
struct[0].Gy_ini[58,57] = 18.9579191056579
struct[0].Gy_ini[58,58] = -237.673607926841
struct[0].Gy_ini[58,59] = -112.978314692379
struct[0].Gy_ini[58,60] = 87.1730591867880
struct[0].Gy_ini[58,61] = 18.9579191056579
struct[0].Gy_ini[58,62] = 57.6366430644054
struct[0].Gy_ini[58,63] = 45.8900105086227
struct[0].Gy_ini[58,64] = -39.6392229058202
struct[0].Gy_ini[58,65] = -10.2713736253513
struct[0].Gy_ini[58,66] = 105.571769313180
struct[0].Gy_ini[58,67] = 54.0657727682604
struct[0].Gy_ini[58,68] = -39.6392229058201
struct[0].Gy_ini[58,69] = -10.2713736253513
struct[0].Gy_ini[58,70] = -24.9575997948692
struct[0].Gy_ini[58,71] = -23.2849644809540
struct[0].Gy_ini[59,8] = -1.58482814504483
struct[0].Gy_ini[59,9] = -7.89461337514771
struct[0].Gy_ini[59,10] = -4.84676915585801
struct[0].Gy_ini[59,11] = 26.5300693004806
struct[0].Gy_ini[59,12] = -1.58482814504483
struct[0].Gy_ini[59,13] = -7.89461337514771
struct[0].Gy_ini[59,14] = -0.679918453285308
struct[0].Gy_ini[59,15] = -7.72144347466701
struct[0].Gy_ini[59,48] = 10.2713736253513
struct[0].Gy_ini[59,49] = -39.6392229058202
struct[0].Gy_ini[59,50] = -54.0657727682604
struct[0].Gy_ini[59,51] = 105.571769313180
struct[0].Gy_ini[59,52] = 10.2713736253513
struct[0].Gy_ini[59,53] = -39.6392229058201
struct[0].Gy_ini[59,54] = 23.2849644809540
struct[0].Gy_ini[59,55] = -24.9575997948692
struct[0].Gy_ini[59,56] = -18.9579191056579
struct[0].Gy_ini[59,57] = 87.1730591867880
struct[0].Gy_ini[59,58] = 112.978314692379
struct[0].Gy_ini[59,59] = -237.673607926841
struct[0].Gy_ini[59,60] = -18.9579191056579
struct[0].Gy_ini[59,61] = 87.1730591867880
struct[0].Gy_ini[59,62] = -45.8900105086227
struct[0].Gy_ini[59,63] = 57.6366430644054
struct[0].Gy_ini[59,64] = 10.2713736253513
struct[0].Gy_ini[59,65] = -39.6392229058202
struct[0].Gy_ini[59,66] = -54.0657727682604
struct[0].Gy_ini[59,67] = 105.571769313180
struct[0].Gy_ini[59,68] = 10.2713736253513
struct[0].Gy_ini[59,69] = -39.6392229058201
struct[0].Gy_ini[59,70] = 23.2849644809540
struct[0].Gy_ini[59,71] = -24.9575997948692
struct[0].Gy_ini[60,8] = -7.72144347466701
struct[0].Gy_ini[60,9] = 0.679918453285310
struct[0].Gy_ini[60,10] = -7.89461337514770
struct[0].Gy_ini[60,11] = 1.58482814504483
struct[0].Gy_ini[60,12] = 26.5300693004806
struct[0].Gy_ini[60,13] = 4.84676915585801
struct[0].Gy_ini[60,14] = -7.89461337514771
struct[0].Gy_ini[60,15] = 1.58482814504483
struct[0].Gy_ini[60,48] = -24.9575997948692
struct[0].Gy_ini[60,49] = -23.2849644809540
struct[0].Gy_ini[60,50] = -39.6392229058202
struct[0].Gy_ini[60,51] = -10.2713736253513
struct[0].Gy_ini[60,52] = 105.571769313180
struct[0].Gy_ini[60,53] = 54.0657727682604
struct[0].Gy_ini[60,54] = -39.6392229058201
struct[0].Gy_ini[60,55] = -10.2713736253514
struct[0].Gy_ini[60,56] = 57.6366430644054
struct[0].Gy_ini[60,57] = 45.8900105086227
struct[0].Gy_ini[60,58] = 87.1730591867881
struct[0].Gy_ini[60,59] = 18.9579191056578
struct[0].Gy_ini[60,60] = -237.673607926841
struct[0].Gy_ini[60,61] = -112.978314692379
struct[0].Gy_ini[60,62] = 87.1730591867880
struct[0].Gy_ini[60,63] = 18.9579191056579
struct[0].Gy_ini[60,64] = -24.9575997948692
struct[0].Gy_ini[60,65] = -23.2849644809540
struct[0].Gy_ini[60,66] = -39.6392229058202
struct[0].Gy_ini[60,67] = -10.2713736253513
struct[0].Gy_ini[60,68] = 105.571769313180
struct[0].Gy_ini[60,69] = 54.0657727682604
struct[0].Gy_ini[60,70] = -39.6392229058201
struct[0].Gy_ini[60,71] = -10.2713736253514
struct[0].Gy_ini[61,8] = -0.679918453285310
struct[0].Gy_ini[61,9] = -7.72144347466701
struct[0].Gy_ini[61,10] = -1.58482814504483
struct[0].Gy_ini[61,11] = -7.89461337514770
struct[0].Gy_ini[61,12] = -4.84676915585801
struct[0].Gy_ini[61,13] = 26.5300693004806
struct[0].Gy_ini[61,14] = -1.58482814504483
struct[0].Gy_ini[61,15] = -7.89461337514771
struct[0].Gy_ini[61,48] = 23.2849644809540
struct[0].Gy_ini[61,49] = -24.9575997948692
struct[0].Gy_ini[61,50] = 10.2713736253513
struct[0].Gy_ini[61,51] = -39.6392229058202
struct[0].Gy_ini[61,52] = -54.0657727682604
struct[0].Gy_ini[61,53] = 105.571769313180
struct[0].Gy_ini[61,54] = 10.2713736253514
struct[0].Gy_ini[61,55] = -39.6392229058201
struct[0].Gy_ini[61,56] = -45.8900105086227
struct[0].Gy_ini[61,57] = 57.6366430644054
struct[0].Gy_ini[61,58] = -18.9579191056578
struct[0].Gy_ini[61,59] = 87.1730591867881
struct[0].Gy_ini[61,60] = 112.978314692379
struct[0].Gy_ini[61,61] = -237.673607926841
struct[0].Gy_ini[61,62] = -18.9579191056579
struct[0].Gy_ini[61,63] = 87.1730591867880
struct[0].Gy_ini[61,64] = 23.2849644809540
struct[0].Gy_ini[61,65] = -24.9575997948692
struct[0].Gy_ini[61,66] = 10.2713736253513
struct[0].Gy_ini[61,67] = -39.6392229058202
struct[0].Gy_ini[61,68] = -54.0657727682604
struct[0].Gy_ini[61,69] = 105.571769313180
struct[0].Gy_ini[61,70] = 10.2713736253514
struct[0].Gy_ini[61,71] = -39.6392229058201
struct[0].Gy_ini[62,8] = -7.89461337514771
struct[0].Gy_ini[62,9] = 1.58482814504483
struct[0].Gy_ini[62,10] = -7.72144347466701
struct[0].Gy_ini[62,11] = 0.679918453285308
struct[0].Gy_ini[62,12] = -7.89461337514771
struct[0].Gy_ini[62,13] = 1.58482814504483
struct[0].Gy_ini[62,14] = 26.5300693004806
struct[0].Gy_ini[62,15] = 4.84676915585801
struct[0].Gy_ini[62,48] = -39.6392229058202
struct[0].Gy_ini[62,49] = -10.2713736253513
struct[0].Gy_ini[62,50] = -24.9575997948692
struct[0].Gy_ini[62,51] = -23.2849644809540
struct[0].Gy_ini[62,52] = -39.6392229058202
struct[0].Gy_ini[62,53] = -10.2713736253513
struct[0].Gy_ini[62,54] = 105.571769313180
struct[0].Gy_ini[62,55] = 54.0657727682604
struct[0].Gy_ini[62,56] = 87.1730591867880
struct[0].Gy_ini[62,57] = 18.9579191056578
struct[0].Gy_ini[62,58] = 57.6366430644054
struct[0].Gy_ini[62,59] = 45.8900105086227
struct[0].Gy_ini[62,60] = 87.1730591867880
struct[0].Gy_ini[62,61] = 18.9579191056579
struct[0].Gy_ini[62,62] = -237.673607926841
struct[0].Gy_ini[62,63] = -112.978314692379
struct[0].Gy_ini[62,64] = -39.6392229058202
struct[0].Gy_ini[62,65] = -10.2713736253513
struct[0].Gy_ini[62,66] = -24.9575997948692
struct[0].Gy_ini[62,67] = -23.2849644809540
struct[0].Gy_ini[62,68] = -39.6392229058202
struct[0].Gy_ini[62,69] = -10.2713736253513
struct[0].Gy_ini[62,70] = 105.571769313180
struct[0].Gy_ini[62,71] = 54.0657727682604
struct[0].Gy_ini[63,8] = -1.58482814504483
struct[0].Gy_ini[63,9] = -7.89461337514771
struct[0].Gy_ini[63,10] = -0.679918453285308
struct[0].Gy_ini[63,11] = -7.72144347466701
struct[0].Gy_ini[63,12] = -1.58482814504483
struct[0].Gy_ini[63,13] = -7.89461337514771
struct[0].Gy_ini[63,14] = -4.84676915585801
struct[0].Gy_ini[63,15] = 26.5300693004806
struct[0].Gy_ini[63,48] = 10.2713736253513
struct[0].Gy_ini[63,49] = -39.6392229058202
struct[0].Gy_ini[63,50] = 23.2849644809540
struct[0].Gy_ini[63,51] = -24.9575997948692
struct[0].Gy_ini[63,52] = 10.2713736253513
struct[0].Gy_ini[63,53] = -39.6392229058202
struct[0].Gy_ini[63,54] = -54.0657727682604
struct[0].Gy_ini[63,55] = 105.571769313180
struct[0].Gy_ini[63,56] = -18.9579191056578
struct[0].Gy_ini[63,57] = 87.1730591867880
struct[0].Gy_ini[63,58] = -45.8900105086227
struct[0].Gy_ini[63,59] = 57.6366430644054
struct[0].Gy_ini[63,60] = -18.9579191056579
struct[0].Gy_ini[63,61] = 87.1730591867880
struct[0].Gy_ini[63,62] = 112.978314692379
struct[0].Gy_ini[63,63] = -237.673607926841
struct[0].Gy_ini[63,64] = 10.2713736253513
struct[0].Gy_ini[63,65] = -39.6392229058202
struct[0].Gy_ini[63,66] = 23.2849644809540
struct[0].Gy_ini[63,67] = -24.9575997948692
struct[0].Gy_ini[63,68] = 10.2713736253513
struct[0].Gy_ini[63,69] = -39.6392229058202
struct[0].Gy_ini[63,70] = -54.0657727682604
struct[0].Gy_ini[63,71] = 105.571769313180
struct[0].Gy_ini[64,56] = 105.571769313180
struct[0].Gy_ini[64,57] = 54.0657727682604
struct[0].Gy_ini[64,58] = -39.6392229058202
struct[0].Gy_ini[64,59] = -10.2713736253513
struct[0].Gy_ini[64,60] = -24.9575997948692
struct[0].Gy_ini[64,61] = -23.2849644809540
struct[0].Gy_ini[64,62] = -39.6392229058202
struct[0].Gy_ini[64,63] = -10.2713736253513
struct[0].Gy_ini[64,64] = -237.673607926841
struct[0].Gy_ini[64,65] = -112.978314692379
struct[0].Gy_ini[64,66] = 87.1730591867880
struct[0].Gy_ini[64,67] = 18.9579191056578
struct[0].Gy_ini[64,68] = 57.6366430644055
struct[0].Gy_ini[64,69] = 45.8900105086227
struct[0].Gy_ini[64,70] = 87.1730591867880
struct[0].Gy_ini[64,71] = 18.9579191056579
struct[0].Gy_ini[64,72] = 105.571769313180
struct[0].Gy_ini[64,73] = 54.0657727682604
struct[0].Gy_ini[64,74] = -39.6392229058202
struct[0].Gy_ini[64,75] = -10.2713736253513
struct[0].Gy_ini[64,76] = -24.9575997948692
struct[0].Gy_ini[64,77] = -23.2849644809540
struct[0].Gy_ini[64,78] = -39.6392229058202
struct[0].Gy_ini[64,79] = -10.2713736253513
struct[0].Gy_ini[64,120] = 26.5300693004806
struct[0].Gy_ini[64,121] = 4.84676915585801
struct[0].Gy_ini[64,122] = -7.89461337514770
struct[0].Gy_ini[64,123] = 1.58482814504483
struct[0].Gy_ini[64,124] = -7.72144347466701
struct[0].Gy_ini[64,125] = 0.679918453285310
struct[0].Gy_ini[64,126] = -7.89461337514771
struct[0].Gy_ini[64,127] = 1.58482814504483
struct[0].Gy_ini[65,56] = -54.0657727682604
struct[0].Gy_ini[65,57] = 105.571769313180
struct[0].Gy_ini[65,58] = 10.2713736253513
struct[0].Gy_ini[65,59] = -39.6392229058202
struct[0].Gy_ini[65,60] = 23.2849644809540
struct[0].Gy_ini[65,61] = -24.9575997948692
struct[0].Gy_ini[65,62] = 10.2713736253513
struct[0].Gy_ini[65,63] = -39.6392229058202
struct[0].Gy_ini[65,64] = 112.978314692379
struct[0].Gy_ini[65,65] = -237.673607926841
struct[0].Gy_ini[65,66] = -18.9579191056578
struct[0].Gy_ini[65,67] = 87.1730591867880
struct[0].Gy_ini[65,68] = -45.8900105086227
struct[0].Gy_ini[65,69] = 57.6366430644055
struct[0].Gy_ini[65,70] = -18.9579191056579
struct[0].Gy_ini[65,71] = 87.1730591867880
struct[0].Gy_ini[65,72] = -54.0657727682604
struct[0].Gy_ini[65,73] = 105.571769313180
struct[0].Gy_ini[65,74] = 10.2713736253513
struct[0].Gy_ini[65,75] = -39.6392229058202
struct[0].Gy_ini[65,76] = 23.2849644809540
struct[0].Gy_ini[65,77] = -24.9575997948692
struct[0].Gy_ini[65,78] = 10.2713736253513
struct[0].Gy_ini[65,79] = -39.6392229058202
struct[0].Gy_ini[65,120] = -4.84676915585801
struct[0].Gy_ini[65,121] = 26.5300693004806
struct[0].Gy_ini[65,122] = -1.58482814504483
struct[0].Gy_ini[65,123] = -7.89461337514770
struct[0].Gy_ini[65,124] = -0.679918453285310
struct[0].Gy_ini[65,125] = -7.72144347466701
struct[0].Gy_ini[65,126] = -1.58482814504483
struct[0].Gy_ini[65,127] = -7.89461337514771
struct[0].Gy_ini[66,56] = -39.6392229058202
struct[0].Gy_ini[66,57] = -10.2713736253513
struct[0].Gy_ini[66,58] = 105.571769313180
struct[0].Gy_ini[66,59] = 54.0657727682604
struct[0].Gy_ini[66,60] = -39.6392229058201
struct[0].Gy_ini[66,61] = -10.2713736253513
struct[0].Gy_ini[66,62] = -24.9575997948692
struct[0].Gy_ini[66,63] = -23.2849644809540
struct[0].Gy_ini[66,64] = 87.1730591867880
struct[0].Gy_ini[66,65] = 18.9579191056579
struct[0].Gy_ini[66,66] = -237.673607926841
struct[0].Gy_ini[66,67] = -112.978314692379
struct[0].Gy_ini[66,68] = 87.1730591867880
struct[0].Gy_ini[66,69] = 18.9579191056579
struct[0].Gy_ini[66,70] = 57.6366430644054
struct[0].Gy_ini[66,71] = 45.8900105086227
struct[0].Gy_ini[66,72] = -39.6392229058202
struct[0].Gy_ini[66,73] = -10.2713736253513
struct[0].Gy_ini[66,74] = 105.571769313180
struct[0].Gy_ini[66,75] = 54.0657727682604
struct[0].Gy_ini[66,76] = -39.6392229058201
struct[0].Gy_ini[66,77] = -10.2713736253513
struct[0].Gy_ini[66,78] = -24.9575997948692
struct[0].Gy_ini[66,79] = -23.2849644809540
struct[0].Gy_ini[66,120] = -7.89461337514771
struct[0].Gy_ini[66,121] = 1.58482814504483
struct[0].Gy_ini[66,122] = 26.5300693004806
struct[0].Gy_ini[66,123] = 4.84676915585801
struct[0].Gy_ini[66,124] = -7.89461337514771
struct[0].Gy_ini[66,125] = 1.58482814504483
struct[0].Gy_ini[66,126] = -7.72144347466701
struct[0].Gy_ini[66,127] = 0.679918453285308
struct[0].Gy_ini[67,56] = 10.2713736253513
struct[0].Gy_ini[67,57] = -39.6392229058202
struct[0].Gy_ini[67,58] = -54.0657727682604
struct[0].Gy_ini[67,59] = 105.571769313180
struct[0].Gy_ini[67,60] = 10.2713736253513
struct[0].Gy_ini[67,61] = -39.6392229058201
struct[0].Gy_ini[67,62] = 23.2849644809540
struct[0].Gy_ini[67,63] = -24.9575997948692
struct[0].Gy_ini[67,64] = -18.9579191056579
struct[0].Gy_ini[67,65] = 87.1730591867880
struct[0].Gy_ini[67,66] = 112.978314692379
struct[0].Gy_ini[67,67] = -237.673607926841
struct[0].Gy_ini[67,68] = -18.9579191056579
struct[0].Gy_ini[67,69] = 87.1730591867880
struct[0].Gy_ini[67,70] = -45.8900105086227
struct[0].Gy_ini[67,71] = 57.6366430644054
struct[0].Gy_ini[67,72] = 10.2713736253513
struct[0].Gy_ini[67,73] = -39.6392229058202
struct[0].Gy_ini[67,74] = -54.0657727682604
struct[0].Gy_ini[67,75] = 105.571769313180
struct[0].Gy_ini[67,76] = 10.2713736253513
struct[0].Gy_ini[67,77] = -39.6392229058201
struct[0].Gy_ini[67,78] = 23.2849644809540
struct[0].Gy_ini[67,79] = -24.9575997948692
struct[0].Gy_ini[67,120] = -1.58482814504483
struct[0].Gy_ini[67,121] = -7.89461337514771
struct[0].Gy_ini[67,122] = -4.84676915585801
struct[0].Gy_ini[67,123] = 26.5300693004806
struct[0].Gy_ini[67,124] = -1.58482814504483
struct[0].Gy_ini[67,125] = -7.89461337514771
struct[0].Gy_ini[67,126] = -0.679918453285308
struct[0].Gy_ini[67,127] = -7.72144347466701
struct[0].Gy_ini[68,56] = -24.9575997948692
struct[0].Gy_ini[68,57] = -23.2849644809540
struct[0].Gy_ini[68,58] = -39.6392229058202
struct[0].Gy_ini[68,59] = -10.2713736253513
struct[0].Gy_ini[68,60] = 105.571769313180
struct[0].Gy_ini[68,61] = 54.0657727682604
struct[0].Gy_ini[68,62] = -39.6392229058201
struct[0].Gy_ini[68,63] = -10.2713736253514
struct[0].Gy_ini[68,64] = 57.6366430644054
struct[0].Gy_ini[68,65] = 45.8900105086227
struct[0].Gy_ini[68,66] = 87.1730591867881
struct[0].Gy_ini[68,67] = 18.9579191056578
struct[0].Gy_ini[68,68] = -237.673607926841
struct[0].Gy_ini[68,69] = -112.978314692379
struct[0].Gy_ini[68,70] = 87.1730591867880
struct[0].Gy_ini[68,71] = 18.9579191056579
struct[0].Gy_ini[68,72] = -24.9575997948692
struct[0].Gy_ini[68,73] = -23.2849644809540
struct[0].Gy_ini[68,74] = -39.6392229058202
struct[0].Gy_ini[68,75] = -10.2713736253513
struct[0].Gy_ini[68,76] = 105.571769313180
struct[0].Gy_ini[68,77] = 54.0657727682604
struct[0].Gy_ini[68,78] = -39.6392229058201
struct[0].Gy_ini[68,79] = -10.2713736253514
struct[0].Gy_ini[68,120] = -7.72144347466701
struct[0].Gy_ini[68,121] = 0.679918453285310
struct[0].Gy_ini[68,122] = -7.89461337514770
struct[0].Gy_ini[68,123] = 1.58482814504483
struct[0].Gy_ini[68,124] = 26.5300693004806
struct[0].Gy_ini[68,125] = 4.84676915585801
struct[0].Gy_ini[68,126] = -7.89461337514771
struct[0].Gy_ini[68,127] = 1.58482814504483
struct[0].Gy_ini[69,56] = 23.2849644809540
struct[0].Gy_ini[69,57] = -24.9575997948692
struct[0].Gy_ini[69,58] = 10.2713736253513
struct[0].Gy_ini[69,59] = -39.6392229058202
struct[0].Gy_ini[69,60] = -54.0657727682604
struct[0].Gy_ini[69,61] = 105.571769313180
struct[0].Gy_ini[69,62] = 10.2713736253514
struct[0].Gy_ini[69,63] = -39.6392229058201
struct[0].Gy_ini[69,64] = -45.8900105086227
struct[0].Gy_ini[69,65] = 57.6366430644054
struct[0].Gy_ini[69,66] = -18.9579191056578
struct[0].Gy_ini[69,67] = 87.1730591867881
struct[0].Gy_ini[69,68] = 112.978314692379
struct[0].Gy_ini[69,69] = -237.673607926841
struct[0].Gy_ini[69,70] = -18.9579191056579
struct[0].Gy_ini[69,71] = 87.1730591867880
struct[0].Gy_ini[69,72] = 23.2849644809540
struct[0].Gy_ini[69,73] = -24.9575997948692
struct[0].Gy_ini[69,74] = 10.2713736253513
struct[0].Gy_ini[69,75] = -39.6392229058202
struct[0].Gy_ini[69,76] = -54.0657727682604
struct[0].Gy_ini[69,77] = 105.571769313180
struct[0].Gy_ini[69,78] = 10.2713736253514
struct[0].Gy_ini[69,79] = -39.6392229058201
struct[0].Gy_ini[69,120] = -0.679918453285310
struct[0].Gy_ini[69,121] = -7.72144347466701
struct[0].Gy_ini[69,122] = -1.58482814504483
struct[0].Gy_ini[69,123] = -7.89461337514770
struct[0].Gy_ini[69,124] = -4.84676915585801
struct[0].Gy_ini[69,125] = 26.5300693004806
struct[0].Gy_ini[69,126] = -1.58482814504483
struct[0].Gy_ini[69,127] = -7.89461337514771
struct[0].Gy_ini[70,56] = -39.6392229058202
struct[0].Gy_ini[70,57] = -10.2713736253513
struct[0].Gy_ini[70,58] = -24.9575997948692
struct[0].Gy_ini[70,59] = -23.2849644809540
struct[0].Gy_ini[70,60] = -39.6392229058202
struct[0].Gy_ini[70,61] = -10.2713736253513
struct[0].Gy_ini[70,62] = 105.571769313180
struct[0].Gy_ini[70,63] = 54.0657727682604
struct[0].Gy_ini[70,64] = 87.1730591867880
struct[0].Gy_ini[70,65] = 18.9579191056578
struct[0].Gy_ini[70,66] = 57.6366430644054
struct[0].Gy_ini[70,67] = 45.8900105086227
struct[0].Gy_ini[70,68] = 87.1730591867880
struct[0].Gy_ini[70,69] = 18.9579191056579
struct[0].Gy_ini[70,70] = -237.698607926841
struct[0].Gy_ini[70,71] = -112.978314692379
struct[0].Gy_ini[70,72] = -39.6392229058202
struct[0].Gy_ini[70,73] = -10.2713736253513
struct[0].Gy_ini[70,74] = -24.9575997948692
struct[0].Gy_ini[70,75] = -23.2849644809540
struct[0].Gy_ini[70,76] = -39.6392229058202
struct[0].Gy_ini[70,77] = -10.2713736253513
struct[0].Gy_ini[70,78] = 105.571769313180
struct[0].Gy_ini[70,79] = 54.0657727682604
struct[0].Gy_ini[70,120] = -7.89461337514771
struct[0].Gy_ini[70,121] = 1.58482814504483
struct[0].Gy_ini[70,122] = -7.72144347466701
struct[0].Gy_ini[70,123] = 0.679918453285308
struct[0].Gy_ini[70,124] = -7.89461337514771
struct[0].Gy_ini[70,125] = 1.58482814504483
struct[0].Gy_ini[70,126] = 26.5300693004806
struct[0].Gy_ini[70,127] = 4.84676915585801
struct[0].Gy_ini[71,56] = 10.2713736253513
struct[0].Gy_ini[71,57] = -39.6392229058202
struct[0].Gy_ini[71,58] = 23.2849644809540
struct[0].Gy_ini[71,59] = -24.9575997948692
struct[0].Gy_ini[71,60] = 10.2713736253513
struct[0].Gy_ini[71,61] = -39.6392229058202
struct[0].Gy_ini[71,62] = -54.0657727682604
struct[0].Gy_ini[71,63] = 105.571769313180
struct[0].Gy_ini[71,64] = -18.9579191056578
struct[0].Gy_ini[71,65] = 87.1730591867880
struct[0].Gy_ini[71,66] = -45.8900105086227
struct[0].Gy_ini[71,67] = 57.6366430644054
struct[0].Gy_ini[71,68] = -18.9579191056579
struct[0].Gy_ini[71,69] = 87.1730591867880
struct[0].Gy_ini[71,70] = 112.978314692379
struct[0].Gy_ini[71,71] = -237.698607926841
struct[0].Gy_ini[71,72] = 10.2713736253513
struct[0].Gy_ini[71,73] = -39.6392229058202
struct[0].Gy_ini[71,74] = 23.2849644809540
struct[0].Gy_ini[71,75] = -24.9575997948692
struct[0].Gy_ini[71,76] = 10.2713736253513
struct[0].Gy_ini[71,77] = -39.6392229058202
struct[0].Gy_ini[71,78] = -54.0657727682604
struct[0].Gy_ini[71,79] = 105.571769313180
struct[0].Gy_ini[71,120] = -1.58482814504483
struct[0].Gy_ini[71,121] = -7.89461337514771
struct[0].Gy_ini[71,122] = -0.679918453285308
struct[0].Gy_ini[71,123] = -7.72144347466701
struct[0].Gy_ini[71,124] = -1.58482814504483
struct[0].Gy_ini[71,125] = -7.89461337514771
struct[0].Gy_ini[71,126] = -4.84676915585801
struct[0].Gy_ini[71,127] = 26.5300693004806
struct[0].Gy_ini[72,64] = 105.571769313180
struct[0].Gy_ini[72,65] = 54.0657727682604
struct[0].Gy_ini[72,66] = -39.6392229058202
struct[0].Gy_ini[72,67] = -10.2713736253513
struct[0].Gy_ini[72,68] = -24.9575997948692
struct[0].Gy_ini[72,69] = -23.2849644809540
struct[0].Gy_ini[72,70] = -39.6392229058202
struct[0].Gy_ini[72,71] = -10.2713736253513
struct[0].Gy_ini[72,72] = -211.143538626360
struct[0].Gy_ini[72,73] = -108.131545536521
struct[0].Gy_ini[72,74] = 79.2784458116403
struct[0].Gy_ini[72,75] = 20.5427472507027
struct[0].Gy_ini[72,76] = 49.9151995897384
struct[0].Gy_ini[72,77] = 46.5699289619080
struct[0].Gy_ini[72,78] = 79.2784458116403
struct[0].Gy_ini[72,79] = 20.5427472507027
struct[0].Gy_ini[72,80] = 105.571769313180
struct[0].Gy_ini[72,81] = 54.0657727682604
struct[0].Gy_ini[72,82] = -39.6392229058202
struct[0].Gy_ini[72,83] = -10.2713736253513
struct[0].Gy_ini[72,84] = -24.9575997948692
struct[0].Gy_ini[72,85] = -23.2849644809540
struct[0].Gy_ini[72,86] = -39.6392229058202
struct[0].Gy_ini[72,87] = -10.2713736253513
struct[0].Gy_ini[73,64] = -54.0657727682604
struct[0].Gy_ini[73,65] = 105.571769313180
struct[0].Gy_ini[73,66] = 10.2713736253513
struct[0].Gy_ini[73,67] = -39.6392229058202
struct[0].Gy_ini[73,68] = 23.2849644809540
struct[0].Gy_ini[73,69] = -24.9575997948692
struct[0].Gy_ini[73,70] = 10.2713736253513
struct[0].Gy_ini[73,71] = -39.6392229058202
struct[0].Gy_ini[73,72] = 108.131545536521
struct[0].Gy_ini[73,73] = -211.143538626360
struct[0].Gy_ini[73,74] = -20.5427472507027
struct[0].Gy_ini[73,75] = 79.2784458116403
struct[0].Gy_ini[73,76] = -46.5699289619080
struct[0].Gy_ini[73,77] = 49.9151995897384
struct[0].Gy_ini[73,78] = -20.5427472507027
struct[0].Gy_ini[73,79] = 79.2784458116403
struct[0].Gy_ini[73,80] = -54.0657727682604
struct[0].Gy_ini[73,81] = 105.571769313180
struct[0].Gy_ini[73,82] = 10.2713736253513
struct[0].Gy_ini[73,83] = -39.6392229058202
struct[0].Gy_ini[73,84] = 23.2849644809540
struct[0].Gy_ini[73,85] = -24.9575997948692
struct[0].Gy_ini[73,86] = 10.2713736253513
struct[0].Gy_ini[73,87] = -39.6392229058202
struct[0].Gy_ini[74,64] = -39.6392229058202
struct[0].Gy_ini[74,65] = -10.2713736253513
struct[0].Gy_ini[74,66] = 105.571769313180
struct[0].Gy_ini[74,67] = 54.0657727682604
struct[0].Gy_ini[74,68] = -39.6392229058201
struct[0].Gy_ini[74,69] = -10.2713736253513
struct[0].Gy_ini[74,70] = -24.9575997948692
struct[0].Gy_ini[74,71] = -23.2849644809540
struct[0].Gy_ini[74,72] = 79.2784458116403
struct[0].Gy_ini[74,73] = 20.5427472507027
struct[0].Gy_ini[74,74] = -211.143538626360
struct[0].Gy_ini[74,75] = -108.131545536521
struct[0].Gy_ini[74,76] = 79.2784458116403
struct[0].Gy_ini[74,77] = 20.5427472507027
struct[0].Gy_ini[74,78] = 49.9151995897384
struct[0].Gy_ini[74,79] = 46.5699289619080
struct[0].Gy_ini[74,80] = -39.6392229058202
struct[0].Gy_ini[74,81] = -10.2713736253513
struct[0].Gy_ini[74,82] = 105.571769313180
struct[0].Gy_ini[74,83] = 54.0657727682604
struct[0].Gy_ini[74,84] = -39.6392229058201
struct[0].Gy_ini[74,85] = -10.2713736253513
struct[0].Gy_ini[74,86] = -24.9575997948692
struct[0].Gy_ini[74,87] = -23.2849644809540
struct[0].Gy_ini[75,64] = 10.2713736253513
struct[0].Gy_ini[75,65] = -39.6392229058202
struct[0].Gy_ini[75,66] = -54.0657727682604
struct[0].Gy_ini[75,67] = 105.571769313180
struct[0].Gy_ini[75,68] = 10.2713736253513
struct[0].Gy_ini[75,69] = -39.6392229058201
struct[0].Gy_ini[75,70] = 23.2849644809540
struct[0].Gy_ini[75,71] = -24.9575997948692
struct[0].Gy_ini[75,72] = -20.5427472507027
struct[0].Gy_ini[75,73] = 79.2784458116403
struct[0].Gy_ini[75,74] = 108.131545536521
struct[0].Gy_ini[75,75] = -211.143538626360
struct[0].Gy_ini[75,76] = -20.5427472507027
struct[0].Gy_ini[75,77] = 79.2784458116403
struct[0].Gy_ini[75,78] = -46.5699289619080
struct[0].Gy_ini[75,79] = 49.9151995897384
struct[0].Gy_ini[75,80] = 10.2713736253513
struct[0].Gy_ini[75,81] = -39.6392229058202
struct[0].Gy_ini[75,82] = -54.0657727682604
struct[0].Gy_ini[75,83] = 105.571769313180
struct[0].Gy_ini[75,84] = 10.2713736253513
struct[0].Gy_ini[75,85] = -39.6392229058201
struct[0].Gy_ini[75,86] = 23.2849644809540
struct[0].Gy_ini[75,87] = -24.9575997948692
struct[0].Gy_ini[76,64] = -24.9575997948692
struct[0].Gy_ini[76,65] = -23.2849644809540
struct[0].Gy_ini[76,66] = -39.6392229058202
struct[0].Gy_ini[76,67] = -10.2713736253513
struct[0].Gy_ini[76,68] = 105.571769313180
struct[0].Gy_ini[76,69] = 54.0657727682604
struct[0].Gy_ini[76,70] = -39.6392229058201
struct[0].Gy_ini[76,71] = -10.2713736253514
struct[0].Gy_ini[76,72] = 49.9151995897384
struct[0].Gy_ini[76,73] = 46.5699289619080
struct[0].Gy_ini[76,74] = 79.2784458116404
struct[0].Gy_ini[76,75] = 20.5427472507027
struct[0].Gy_ini[76,76] = -211.143538626360
struct[0].Gy_ini[76,77] = -108.131545536521
struct[0].Gy_ini[76,78] = 79.2784458116403
struct[0].Gy_ini[76,79] = 20.5427472507027
struct[0].Gy_ini[76,80] = -24.9575997948692
struct[0].Gy_ini[76,81] = -23.2849644809540
struct[0].Gy_ini[76,82] = -39.6392229058202
struct[0].Gy_ini[76,83] = -10.2713736253513
struct[0].Gy_ini[76,84] = 105.571769313180
struct[0].Gy_ini[76,85] = 54.0657727682604
struct[0].Gy_ini[76,86] = -39.6392229058201
struct[0].Gy_ini[76,87] = -10.2713736253514
struct[0].Gy_ini[77,64] = 23.2849644809540
struct[0].Gy_ini[77,65] = -24.9575997948692
struct[0].Gy_ini[77,66] = 10.2713736253513
struct[0].Gy_ini[77,67] = -39.6392229058202
struct[0].Gy_ini[77,68] = -54.0657727682604
struct[0].Gy_ini[77,69] = 105.571769313180
struct[0].Gy_ini[77,70] = 10.2713736253514
struct[0].Gy_ini[77,71] = -39.6392229058201
struct[0].Gy_ini[77,72] = -46.5699289619080
struct[0].Gy_ini[77,73] = 49.9151995897384
struct[0].Gy_ini[77,74] = -20.5427472507027
struct[0].Gy_ini[77,75] = 79.2784458116404
struct[0].Gy_ini[77,76] = 108.131545536521
struct[0].Gy_ini[77,77] = -211.143538626360
struct[0].Gy_ini[77,78] = -20.5427472507027
struct[0].Gy_ini[77,79] = 79.2784458116403
struct[0].Gy_ini[77,80] = 23.2849644809540
struct[0].Gy_ini[77,81] = -24.9575997948692
struct[0].Gy_ini[77,82] = 10.2713736253513
struct[0].Gy_ini[77,83] = -39.6392229058202
struct[0].Gy_ini[77,84] = -54.0657727682604
struct[0].Gy_ini[77,85] = 105.571769313180
struct[0].Gy_ini[77,86] = 10.2713736253514
struct[0].Gy_ini[77,87] = -39.6392229058201
struct[0].Gy_ini[78,64] = -39.6392229058202
struct[0].Gy_ini[78,65] = -10.2713736253513
struct[0].Gy_ini[78,66] = -24.9575997948692
struct[0].Gy_ini[78,67] = -23.2849644809540
struct[0].Gy_ini[78,68] = -39.6392229058202
struct[0].Gy_ini[78,69] = -10.2713736253513
struct[0].Gy_ini[78,70] = 105.571769313180
struct[0].Gy_ini[78,71] = 54.0657727682604
struct[0].Gy_ini[78,72] = 79.2784458116403
struct[0].Gy_ini[78,73] = 20.5427472507027
struct[0].Gy_ini[78,74] = 49.9151995897384
struct[0].Gy_ini[78,75] = 46.5699289619080
struct[0].Gy_ini[78,76] = 79.2784458116403
struct[0].Gy_ini[78,77] = 20.5427472507027
struct[0].Gy_ini[78,78] = -211.143538626360
struct[0].Gy_ini[78,79] = -108.131545536521
struct[0].Gy_ini[78,80] = -39.6392229058202
struct[0].Gy_ini[78,81] = -10.2713736253513
struct[0].Gy_ini[78,82] = -24.9575997948692
struct[0].Gy_ini[78,83] = -23.2849644809540
struct[0].Gy_ini[78,84] = -39.6392229058202
struct[0].Gy_ini[78,85] = -10.2713736253513
struct[0].Gy_ini[78,86] = 105.571769313180
struct[0].Gy_ini[78,87] = 54.0657727682604
struct[0].Gy_ini[79,64] = 10.2713736253513
struct[0].Gy_ini[79,65] = -39.6392229058202
struct[0].Gy_ini[79,66] = 23.2849644809540
struct[0].Gy_ini[79,67] = -24.9575997948692
struct[0].Gy_ini[79,68] = 10.2713736253513
struct[0].Gy_ini[79,69] = -39.6392229058202
struct[0].Gy_ini[79,70] = -54.0657727682604
struct[0].Gy_ini[79,71] = 105.571769313180
struct[0].Gy_ini[79,72] = -20.5427472507027
struct[0].Gy_ini[79,73] = 79.2784458116403
struct[0].Gy_ini[79,74] = -46.5699289619080
struct[0].Gy_ini[79,75] = 49.9151995897384
struct[0].Gy_ini[79,76] = -20.5427472507027
struct[0].Gy_ini[79,77] = 79.2784458116403
struct[0].Gy_ini[79,78] = 108.131545536521
struct[0].Gy_ini[79,79] = -211.143538626360
struct[0].Gy_ini[79,80] = 10.2713736253513
struct[0].Gy_ini[79,81] = -39.6392229058202
struct[0].Gy_ini[79,82] = 23.2849644809540
struct[0].Gy_ini[79,83] = -24.9575997948692
struct[0].Gy_ini[79,84] = 10.2713736253513
struct[0].Gy_ini[79,85] = -39.6392229058202
struct[0].Gy_ini[79,86] = -54.0657727682604
struct[0].Gy_ini[79,87] = 105.571769313180
struct[0].Gy_ini[80,24] = 30.9517475172273
struct[0].Gy_ini[80,25] = 5.65456401516768
struct[0].Gy_ini[80,26] = -9.21038227100566
struct[0].Gy_ini[80,27] = 1.84896616921897
struct[0].Gy_ini[80,28] = -9.00835072044485
struct[0].Gy_ini[80,29] = 0.793238195499529
struct[0].Gy_ini[80,30] = -9.21038227100566
struct[0].Gy_ini[80,31] = 1.84896616921897
struct[0].Gy_ini[80,72] = 105.571769313180
struct[0].Gy_ini[80,73] = 54.0657727682604
struct[0].Gy_ini[80,74] = -39.6392229058202
struct[0].Gy_ini[80,75] = -10.2713736253513
struct[0].Gy_ini[80,76] = -24.9575997948692
struct[0].Gy_ini[80,77] = -23.2849644809540
struct[0].Gy_ini[80,78] = -39.6392229058202
struct[0].Gy_ini[80,79] = -10.2713736253513
struct[0].Gy_ini[80,80] = -242.095286143588
struct[0].Gy_ini[80,81] = -113.786109551688
struct[0].Gy_ini[80,82] = 88.4888280826460
struct[0].Gy_ini[80,83] = 18.6937810814837
struct[0].Gy_ini[80,84] = 58.9235503101833
struct[0].Gy_ini[80,85] = 45.7766907664085
struct[0].Gy_ini[80,86] = 88.4888280826460
struct[0].Gy_ini[80,87] = 18.6937810814837
struct[0].Gy_ini[80,88] = 105.571769313180
struct[0].Gy_ini[80,89] = 54.0657727682604
struct[0].Gy_ini[80,90] = -39.6392229058202
struct[0].Gy_ini[80,91] = -10.2713736253513
struct[0].Gy_ini[80,92] = -24.9575997948692
struct[0].Gy_ini[80,93] = -23.2849644809540
struct[0].Gy_ini[80,94] = -39.6392229058202
struct[0].Gy_ini[80,95] = -10.2713736253513
struct[0].Gy_ini[81,24] = -5.65456401516768
struct[0].Gy_ini[81,25] = 30.9517475172273
struct[0].Gy_ini[81,26] = -1.84896616921897
struct[0].Gy_ini[81,27] = -9.21038227100566
struct[0].Gy_ini[81,28] = -0.793238195499529
struct[0].Gy_ini[81,29] = -9.00835072044485
struct[0].Gy_ini[81,30] = -1.84896616921897
struct[0].Gy_ini[81,31] = -9.21038227100566
struct[0].Gy_ini[81,72] = -54.0657727682604
struct[0].Gy_ini[81,73] = 105.571769313180
struct[0].Gy_ini[81,74] = 10.2713736253513
struct[0].Gy_ini[81,75] = -39.6392229058202
struct[0].Gy_ini[81,76] = 23.2849644809540
struct[0].Gy_ini[81,77] = -24.9575997948692
struct[0].Gy_ini[81,78] = 10.2713736253513
struct[0].Gy_ini[81,79] = -39.6392229058202
struct[0].Gy_ini[81,80] = 113.786109551688
struct[0].Gy_ini[81,81] = -242.095286143588
struct[0].Gy_ini[81,82] = -18.6937810814837
struct[0].Gy_ini[81,83] = 88.4888280826460
struct[0].Gy_ini[81,84] = -45.7766907664085
struct[0].Gy_ini[81,85] = 58.9235503101833
struct[0].Gy_ini[81,86] = -18.6937810814837
struct[0].Gy_ini[81,87] = 88.4888280826460
struct[0].Gy_ini[81,88] = -54.0657727682604
struct[0].Gy_ini[81,89] = 105.571769313180
struct[0].Gy_ini[81,90] = 10.2713736253513
struct[0].Gy_ini[81,91] = -39.6392229058202
struct[0].Gy_ini[81,92] = 23.2849644809540
struct[0].Gy_ini[81,93] = -24.9575997948692
struct[0].Gy_ini[81,94] = 10.2713736253513
struct[0].Gy_ini[81,95] = -39.6392229058202
struct[0].Gy_ini[82,24] = -9.21038227100566
struct[0].Gy_ini[82,25] = 1.84896616921897
struct[0].Gy_ini[82,26] = 30.9517475172273
struct[0].Gy_ini[82,27] = 5.65456401516768
struct[0].Gy_ini[82,28] = -9.21038227100566
struct[0].Gy_ini[82,29] = 1.84896616921897
struct[0].Gy_ini[82,30] = -9.00835072044485
struct[0].Gy_ini[82,31] = 0.793238195499528
struct[0].Gy_ini[82,72] = -39.6392229058202
struct[0].Gy_ini[82,73] = -10.2713736253513
struct[0].Gy_ini[82,74] = 105.571769313180
struct[0].Gy_ini[82,75] = 54.0657727682604
struct[0].Gy_ini[82,76] = -39.6392229058201
struct[0].Gy_ini[82,77] = -10.2713736253513
struct[0].Gy_ini[82,78] = -24.9575997948692
struct[0].Gy_ini[82,79] = -23.2849644809540
struct[0].Gy_ini[82,80] = 88.4888280826460
struct[0].Gy_ini[82,81] = 18.6937810814837
struct[0].Gy_ini[82,82] = -242.095286143588
struct[0].Gy_ini[82,83] = -113.786109551688
struct[0].Gy_ini[82,84] = 88.4888280826460
struct[0].Gy_ini[82,85] = 18.6937810814837
struct[0].Gy_ini[82,86] = 58.9235503101833
struct[0].Gy_ini[82,87] = 45.7766907664085
struct[0].Gy_ini[82,88] = -39.6392229058202
struct[0].Gy_ini[82,89] = -10.2713736253513
struct[0].Gy_ini[82,90] = 105.571769313180
struct[0].Gy_ini[82,91] = 54.0657727682604
struct[0].Gy_ini[82,92] = -39.6392229058201
struct[0].Gy_ini[82,93] = -10.2713736253513
struct[0].Gy_ini[82,94] = -24.9575997948692
struct[0].Gy_ini[82,95] = -23.2849644809540
struct[0].Gy_ini[83,24] = -1.84896616921897
struct[0].Gy_ini[83,25] = -9.21038227100566
struct[0].Gy_ini[83,26] = -5.65456401516768
struct[0].Gy_ini[83,27] = 30.9517475172273
struct[0].Gy_ini[83,28] = -1.84896616921897
struct[0].Gy_ini[83,29] = -9.21038227100566
struct[0].Gy_ini[83,30] = -0.793238195499528
struct[0].Gy_ini[83,31] = -9.00835072044485
struct[0].Gy_ini[83,72] = 10.2713736253513
struct[0].Gy_ini[83,73] = -39.6392229058202
struct[0].Gy_ini[83,74] = -54.0657727682604
struct[0].Gy_ini[83,75] = 105.571769313180
struct[0].Gy_ini[83,76] = 10.2713736253513
struct[0].Gy_ini[83,77] = -39.6392229058201
struct[0].Gy_ini[83,78] = 23.2849644809540
struct[0].Gy_ini[83,79] = -24.9575997948692
struct[0].Gy_ini[83,80] = -18.6937810814837
struct[0].Gy_ini[83,81] = 88.4888280826460
struct[0].Gy_ini[83,82] = 113.786109551688
struct[0].Gy_ini[83,83] = -242.095286143588
struct[0].Gy_ini[83,84] = -18.6937810814837
struct[0].Gy_ini[83,85] = 88.4888280826460
struct[0].Gy_ini[83,86] = -45.7766907664085
struct[0].Gy_ini[83,87] = 58.9235503101833
struct[0].Gy_ini[83,88] = 10.2713736253513
struct[0].Gy_ini[83,89] = -39.6392229058202
struct[0].Gy_ini[83,90] = -54.0657727682604
struct[0].Gy_ini[83,91] = 105.571769313180
struct[0].Gy_ini[83,92] = 10.2713736253513
struct[0].Gy_ini[83,93] = -39.6392229058201
struct[0].Gy_ini[83,94] = 23.2849644809540
struct[0].Gy_ini[83,95] = -24.9575997948692
struct[0].Gy_ini[84,24] = -9.00835072044484
struct[0].Gy_ini[84,25] = 0.793238195499527
struct[0].Gy_ini[84,26] = -9.21038227100566
struct[0].Gy_ini[84,27] = 1.84896616921897
struct[0].Gy_ini[84,28] = 30.9517475172273
struct[0].Gy_ini[84,29] = 5.65456401516768
struct[0].Gy_ini[84,30] = -9.21038227100566
struct[0].Gy_ini[84,31] = 1.84896616921897
struct[0].Gy_ini[84,72] = -24.9575997948692
struct[0].Gy_ini[84,73] = -23.2849644809540
struct[0].Gy_ini[84,74] = -39.6392229058202
struct[0].Gy_ini[84,75] = -10.2713736253513
struct[0].Gy_ini[84,76] = 105.571769313180
struct[0].Gy_ini[84,77] = 54.0657727682604
struct[0].Gy_ini[84,78] = -39.6392229058201
struct[0].Gy_ini[84,79] = -10.2713736253514
struct[0].Gy_ini[84,80] = 58.9235503101833
struct[0].Gy_ini[84,81] = 45.7766907664085
struct[0].Gy_ini[84,82] = 88.4888280826461
struct[0].Gy_ini[84,83] = 18.6937810814837
struct[0].Gy_ini[84,84] = -242.095286143588
struct[0].Gy_ini[84,85] = -113.786109551688
struct[0].Gy_ini[84,86] = 88.4888280826459
struct[0].Gy_ini[84,87] = 18.6937810814837
struct[0].Gy_ini[84,88] = -24.9575997948692
struct[0].Gy_ini[84,89] = -23.2849644809540
struct[0].Gy_ini[84,90] = -39.6392229058202
struct[0].Gy_ini[84,91] = -10.2713736253513
struct[0].Gy_ini[84,92] = 105.571769313180
struct[0].Gy_ini[84,93] = 54.0657727682604
struct[0].Gy_ini[84,94] = -39.6392229058201
struct[0].Gy_ini[84,95] = -10.2713736253514
struct[0].Gy_ini[85,24] = -0.793238195499527
struct[0].Gy_ini[85,25] = -9.00835072044484
struct[0].Gy_ini[85,26] = -1.84896616921897
struct[0].Gy_ini[85,27] = -9.21038227100566
struct[0].Gy_ini[85,28] = -5.65456401516768
struct[0].Gy_ini[85,29] = 30.9517475172273
struct[0].Gy_ini[85,30] = -1.84896616921897
struct[0].Gy_ini[85,31] = -9.21038227100566
struct[0].Gy_ini[85,72] = 23.2849644809540
struct[0].Gy_ini[85,73] = -24.9575997948692
struct[0].Gy_ini[85,74] = 10.2713736253513
struct[0].Gy_ini[85,75] = -39.6392229058202
struct[0].Gy_ini[85,76] = -54.0657727682604
struct[0].Gy_ini[85,77] = 105.571769313180
struct[0].Gy_ini[85,78] = 10.2713736253514
struct[0].Gy_ini[85,79] = -39.6392229058201
struct[0].Gy_ini[85,80] = -45.7766907664085
struct[0].Gy_ini[85,81] = 58.9235503101833
struct[0].Gy_ini[85,82] = -18.6937810814837
struct[0].Gy_ini[85,83] = 88.4888280826461
struct[0].Gy_ini[85,84] = 113.786109551688
struct[0].Gy_ini[85,85] = -242.095286143588
struct[0].Gy_ini[85,86] = -18.6937810814837
struct[0].Gy_ini[85,87] = 88.4888280826459
struct[0].Gy_ini[85,88] = 23.2849644809540
struct[0].Gy_ini[85,89] = -24.9575997948692
struct[0].Gy_ini[85,90] = 10.2713736253513
struct[0].Gy_ini[85,91] = -39.6392229058202
struct[0].Gy_ini[85,92] = -54.0657727682604
struct[0].Gy_ini[85,93] = 105.571769313180
struct[0].Gy_ini[85,94] = 10.2713736253514
struct[0].Gy_ini[85,95] = -39.6392229058201
struct[0].Gy_ini[86,24] = -9.21038227100566
struct[0].Gy_ini[86,25] = 1.84896616921897
struct[0].Gy_ini[86,26] = -9.00835072044485
struct[0].Gy_ini[86,27] = 0.793238195499527
struct[0].Gy_ini[86,28] = -9.21038227100566
struct[0].Gy_ini[86,29] = 1.84896616921897
struct[0].Gy_ini[86,30] = 30.9517475172273
struct[0].Gy_ini[86,31] = 5.65456401516768
struct[0].Gy_ini[86,72] = -39.6392229058202
struct[0].Gy_ini[86,73] = -10.2713736253513
struct[0].Gy_ini[86,74] = -24.9575997948692
struct[0].Gy_ini[86,75] = -23.2849644809540
struct[0].Gy_ini[86,76] = -39.6392229058202
struct[0].Gy_ini[86,77] = -10.2713736253513
struct[0].Gy_ini[86,78] = 105.571769313180
struct[0].Gy_ini[86,79] = 54.0657727682604
struct[0].Gy_ini[86,80] = 88.4888280826460
struct[0].Gy_ini[86,81] = 18.6937810814837
struct[0].Gy_ini[86,82] = 58.9235503101832
struct[0].Gy_ini[86,83] = 45.7766907664085
struct[0].Gy_ini[86,84] = 88.4888280826460
struct[0].Gy_ini[86,85] = 18.6937810814837
struct[0].Gy_ini[86,86] = -242.120286143588
struct[0].Gy_ini[86,87] = -113.786109551688
struct[0].Gy_ini[86,88] = -39.6392229058202
struct[0].Gy_ini[86,89] = -10.2713736253513
struct[0].Gy_ini[86,90] = -24.9575997948692
struct[0].Gy_ini[86,91] = -23.2849644809540
struct[0].Gy_ini[86,92] = -39.6392229058202
struct[0].Gy_ini[86,93] = -10.2713736253513
struct[0].Gy_ini[86,94] = 105.571769313180
struct[0].Gy_ini[86,95] = 54.0657727682604
struct[0].Gy_ini[87,24] = -1.84896616921897
struct[0].Gy_ini[87,25] = -9.21038227100566
struct[0].Gy_ini[87,26] = -0.793238195499527
struct[0].Gy_ini[87,27] = -9.00835072044485
struct[0].Gy_ini[87,28] = -1.84896616921897
struct[0].Gy_ini[87,29] = -9.21038227100566
struct[0].Gy_ini[87,30] = -5.65456401516768
struct[0].Gy_ini[87,31] = 30.9517475172273
struct[0].Gy_ini[87,72] = 10.2713736253513
struct[0].Gy_ini[87,73] = -39.6392229058202
struct[0].Gy_ini[87,74] = 23.2849644809540
struct[0].Gy_ini[87,75] = -24.9575997948692
struct[0].Gy_ini[87,76] = 10.2713736253513
struct[0].Gy_ini[87,77] = -39.6392229058202
struct[0].Gy_ini[87,78] = -54.0657727682604
struct[0].Gy_ini[87,79] = 105.571769313180
struct[0].Gy_ini[87,80] = -18.6937810814837
struct[0].Gy_ini[87,81] = 88.4888280826460
struct[0].Gy_ini[87,82] = -45.7766907664085
struct[0].Gy_ini[87,83] = 58.9235503101832
struct[0].Gy_ini[87,84] = -18.6937810814837
struct[0].Gy_ini[87,85] = 88.4888280826460
struct[0].Gy_ini[87,86] = 113.786109551688
struct[0].Gy_ini[87,87] = -242.120286143588
struct[0].Gy_ini[87,88] = 10.2713736253513
struct[0].Gy_ini[87,89] = -39.6392229058202
struct[0].Gy_ini[87,90] = 23.2849644809540
struct[0].Gy_ini[87,91] = -24.9575997948692
struct[0].Gy_ini[87,92] = 10.2713736253513
struct[0].Gy_ini[87,93] = -39.6392229058202
struct[0].Gy_ini[87,94] = -54.0657727682604
struct[0].Gy_ini[87,95] = 105.571769313180
struct[0].Gy_ini[88,80] = 105.571769313180
struct[0].Gy_ini[88,81] = 54.0657727682604
struct[0].Gy_ini[88,82] = -39.6392229058202
struct[0].Gy_ini[88,83] = -10.2713736253513
struct[0].Gy_ini[88,84] = -24.9575997948692
struct[0].Gy_ini[88,85] = -23.2849644809540
struct[0].Gy_ini[88,86] = -39.6392229058202
struct[0].Gy_ini[88,87] = -10.2713736253513
struct[0].Gy_ini[88,88] = -211.143538626360
struct[0].Gy_ini[88,89] = -108.131545536521
struct[0].Gy_ini[88,90] = 79.2784458116403
struct[0].Gy_ini[88,91] = 20.5427472507027
struct[0].Gy_ini[88,92] = 49.9151995897384
struct[0].Gy_ini[88,93] = 46.5699289619080
struct[0].Gy_ini[88,94] = 79.2784458116403
struct[0].Gy_ini[88,95] = 20.5427472507027
struct[0].Gy_ini[88,96] = 105.571769313180
struct[0].Gy_ini[88,97] = 54.0657727682604
struct[0].Gy_ini[88,98] = -39.6392229058202
struct[0].Gy_ini[88,99] = -10.2713736253513
struct[0].Gy_ini[88,100] = -24.9575997948692
struct[0].Gy_ini[88,101] = -23.2849644809540
struct[0].Gy_ini[88,102] = -39.6392229058202
struct[0].Gy_ini[88,103] = -10.2713736253513
struct[0].Gy_ini[89,80] = -54.0657727682604
struct[0].Gy_ini[89,81] = 105.571769313180
struct[0].Gy_ini[89,82] = 10.2713736253513
struct[0].Gy_ini[89,83] = -39.6392229058202
struct[0].Gy_ini[89,84] = 23.2849644809540
struct[0].Gy_ini[89,85] = -24.9575997948692
struct[0].Gy_ini[89,86] = 10.2713736253513
struct[0].Gy_ini[89,87] = -39.6392229058202
struct[0].Gy_ini[89,88] = 108.131545536521
struct[0].Gy_ini[89,89] = -211.143538626360
struct[0].Gy_ini[89,90] = -20.5427472507027
struct[0].Gy_ini[89,91] = 79.2784458116403
struct[0].Gy_ini[89,92] = -46.5699289619080
struct[0].Gy_ini[89,93] = 49.9151995897384
struct[0].Gy_ini[89,94] = -20.5427472507027
struct[0].Gy_ini[89,95] = 79.2784458116403
struct[0].Gy_ini[89,96] = -54.0657727682604
struct[0].Gy_ini[89,97] = 105.571769313180
struct[0].Gy_ini[89,98] = 10.2713736253513
struct[0].Gy_ini[89,99] = -39.6392229058202
struct[0].Gy_ini[89,100] = 23.2849644809540
struct[0].Gy_ini[89,101] = -24.9575997948692
struct[0].Gy_ini[89,102] = 10.2713736253513
struct[0].Gy_ini[89,103] = -39.6392229058202
struct[0].Gy_ini[90,80] = -39.6392229058202
struct[0].Gy_ini[90,81] = -10.2713736253513
struct[0].Gy_ini[90,82] = 105.571769313180
struct[0].Gy_ini[90,83] = 54.0657727682604
struct[0].Gy_ini[90,84] = -39.6392229058201
struct[0].Gy_ini[90,85] = -10.2713736253513
struct[0].Gy_ini[90,86] = -24.9575997948692
struct[0].Gy_ini[90,87] = -23.2849644809540
struct[0].Gy_ini[90,88] = 79.2784458116403
struct[0].Gy_ini[90,89] = 20.5427472507027
struct[0].Gy_ini[90,90] = -211.143538626360
struct[0].Gy_ini[90,91] = -108.131545536521
struct[0].Gy_ini[90,92] = 79.2784458116403
struct[0].Gy_ini[90,93] = 20.5427472507027
struct[0].Gy_ini[90,94] = 49.9151995897384
struct[0].Gy_ini[90,95] = 46.5699289619080
struct[0].Gy_ini[90,96] = -39.6392229058202
struct[0].Gy_ini[90,97] = -10.2713736253513
struct[0].Gy_ini[90,98] = 105.571769313180
struct[0].Gy_ini[90,99] = 54.0657727682604
struct[0].Gy_ini[90,100] = -39.6392229058201
struct[0].Gy_ini[90,101] = -10.2713736253513
struct[0].Gy_ini[90,102] = -24.9575997948692
struct[0].Gy_ini[90,103] = -23.2849644809540
struct[0].Gy_ini[91,80] = 10.2713736253513
struct[0].Gy_ini[91,81] = -39.6392229058202
struct[0].Gy_ini[91,82] = -54.0657727682604
struct[0].Gy_ini[91,83] = 105.571769313180
struct[0].Gy_ini[91,84] = 10.2713736253513
struct[0].Gy_ini[91,85] = -39.6392229058201
struct[0].Gy_ini[91,86] = 23.2849644809540
struct[0].Gy_ini[91,87] = -24.9575997948692
struct[0].Gy_ini[91,88] = -20.5427472507027
struct[0].Gy_ini[91,89] = 79.2784458116403
struct[0].Gy_ini[91,90] = 108.131545536521
struct[0].Gy_ini[91,91] = -211.143538626360
struct[0].Gy_ini[91,92] = -20.5427472507027
struct[0].Gy_ini[91,93] = 79.2784458116403
struct[0].Gy_ini[91,94] = -46.5699289619080
struct[0].Gy_ini[91,95] = 49.9151995897384
struct[0].Gy_ini[91,96] = 10.2713736253513
struct[0].Gy_ini[91,97] = -39.6392229058202
struct[0].Gy_ini[91,98] = -54.0657727682604
struct[0].Gy_ini[91,99] = 105.571769313180
struct[0].Gy_ini[91,100] = 10.2713736253513
struct[0].Gy_ini[91,101] = -39.6392229058201
struct[0].Gy_ini[91,102] = 23.2849644809540
struct[0].Gy_ini[91,103] = -24.9575997948692
struct[0].Gy_ini[92,80] = -24.9575997948692
struct[0].Gy_ini[92,81] = -23.2849644809540
struct[0].Gy_ini[92,82] = -39.6392229058202
struct[0].Gy_ini[92,83] = -10.2713736253513
struct[0].Gy_ini[92,84] = 105.571769313180
struct[0].Gy_ini[92,85] = 54.0657727682604
struct[0].Gy_ini[92,86] = -39.6392229058201
struct[0].Gy_ini[92,87] = -10.2713736253514
struct[0].Gy_ini[92,88] = 49.9151995897384
struct[0].Gy_ini[92,89] = 46.5699289619080
struct[0].Gy_ini[92,90] = 79.2784458116404
struct[0].Gy_ini[92,91] = 20.5427472507027
struct[0].Gy_ini[92,92] = -211.143538626360
struct[0].Gy_ini[92,93] = -108.131545536521
struct[0].Gy_ini[92,94] = 79.2784458116403
struct[0].Gy_ini[92,95] = 20.5427472507027
struct[0].Gy_ini[92,96] = -24.9575997948692
struct[0].Gy_ini[92,97] = -23.2849644809540
struct[0].Gy_ini[92,98] = -39.6392229058202
struct[0].Gy_ini[92,99] = -10.2713736253513
struct[0].Gy_ini[92,100] = 105.571769313180
struct[0].Gy_ini[92,101] = 54.0657727682604
struct[0].Gy_ini[92,102] = -39.6392229058201
struct[0].Gy_ini[92,103] = -10.2713736253514
struct[0].Gy_ini[93,80] = 23.2849644809540
struct[0].Gy_ini[93,81] = -24.9575997948692
struct[0].Gy_ini[93,82] = 10.2713736253513
struct[0].Gy_ini[93,83] = -39.6392229058202
struct[0].Gy_ini[93,84] = -54.0657727682604
struct[0].Gy_ini[93,85] = 105.571769313180
struct[0].Gy_ini[93,86] = 10.2713736253514
struct[0].Gy_ini[93,87] = -39.6392229058201
struct[0].Gy_ini[93,88] = -46.5699289619080
struct[0].Gy_ini[93,89] = 49.9151995897384
struct[0].Gy_ini[93,90] = -20.5427472507027
struct[0].Gy_ini[93,91] = 79.2784458116404
struct[0].Gy_ini[93,92] = 108.131545536521
struct[0].Gy_ini[93,93] = -211.143538626360
struct[0].Gy_ini[93,94] = -20.5427472507027
struct[0].Gy_ini[93,95] = 79.2784458116403
struct[0].Gy_ini[93,96] = 23.2849644809540
struct[0].Gy_ini[93,97] = -24.9575997948692
struct[0].Gy_ini[93,98] = 10.2713736253513
struct[0].Gy_ini[93,99] = -39.6392229058202
struct[0].Gy_ini[93,100] = -54.0657727682604
struct[0].Gy_ini[93,101] = 105.571769313180
struct[0].Gy_ini[93,102] = 10.2713736253514
struct[0].Gy_ini[93,103] = -39.6392229058201
struct[0].Gy_ini[94,80] = -39.6392229058202
struct[0].Gy_ini[94,81] = -10.2713736253513
struct[0].Gy_ini[94,82] = -24.9575997948692
struct[0].Gy_ini[94,83] = -23.2849644809540
struct[0].Gy_ini[94,84] = -39.6392229058202
struct[0].Gy_ini[94,85] = -10.2713736253513
struct[0].Gy_ini[94,86] = 105.571769313180
struct[0].Gy_ini[94,87] = 54.0657727682604
struct[0].Gy_ini[94,88] = 79.2784458116403
struct[0].Gy_ini[94,89] = 20.5427472507027
struct[0].Gy_ini[94,90] = 49.9151995897384
struct[0].Gy_ini[94,91] = 46.5699289619080
struct[0].Gy_ini[94,92] = 79.2784458116403
struct[0].Gy_ini[94,93] = 20.5427472507027
struct[0].Gy_ini[94,94] = -211.143538626360
struct[0].Gy_ini[94,95] = -108.131545536521
struct[0].Gy_ini[94,96] = -39.6392229058202
struct[0].Gy_ini[94,97] = -10.2713736253513
struct[0].Gy_ini[94,98] = -24.9575997948692
struct[0].Gy_ini[94,99] = -23.2849644809540
struct[0].Gy_ini[94,100] = -39.6392229058202
struct[0].Gy_ini[94,101] = -10.2713736253513
struct[0].Gy_ini[94,102] = 105.571769313180
struct[0].Gy_ini[94,103] = 54.0657727682604
struct[0].Gy_ini[95,80] = 10.2713736253513
struct[0].Gy_ini[95,81] = -39.6392229058202
struct[0].Gy_ini[95,82] = 23.2849644809540
struct[0].Gy_ini[95,83] = -24.9575997948692
struct[0].Gy_ini[95,84] = 10.2713736253513
struct[0].Gy_ini[95,85] = -39.6392229058202
struct[0].Gy_ini[95,86] = -54.0657727682604
struct[0].Gy_ini[95,87] = 105.571769313180
struct[0].Gy_ini[95,88] = -20.5427472507027
struct[0].Gy_ini[95,89] = 79.2784458116403
struct[0].Gy_ini[95,90] = -46.5699289619080
struct[0].Gy_ini[95,91] = 49.9151995897384
struct[0].Gy_ini[95,92] = -20.5427472507027
struct[0].Gy_ini[95,93] = 79.2784458116403
struct[0].Gy_ini[95,94] = 108.131545536521
struct[0].Gy_ini[95,95] = -211.143538626360
struct[0].Gy_ini[95,96] = 10.2713736253513
struct[0].Gy_ini[95,97] = -39.6392229058202
struct[0].Gy_ini[95,98] = 23.2849644809540
struct[0].Gy_ini[95,99] = -24.9575997948692
struct[0].Gy_ini[95,100] = 10.2713736253513
struct[0].Gy_ini[95,101] = -39.6392229058202
struct[0].Gy_ini[95,102] = -54.0657727682604
struct[0].Gy_ini[95,103] = 105.571769313180
struct[0].Gy_ini[96,88] = 105.571769313180
struct[0].Gy_ini[96,89] = 54.0657727682604
struct[0].Gy_ini[96,90] = -39.6392229058202
struct[0].Gy_ini[96,91] = -10.2713736253513
struct[0].Gy_ini[96,92] = -24.9575997948692
struct[0].Gy_ini[96,93] = -23.2849644809540
struct[0].Gy_ini[96,94] = -39.6392229058202
struct[0].Gy_ini[96,95] = -10.2713736253513
struct[0].Gy_ini[96,96] = -211.143538626360
struct[0].Gy_ini[96,97] = -108.131545536521
struct[0].Gy_ini[96,98] = 79.2784458116403
struct[0].Gy_ini[96,99] = 20.5427472507027
struct[0].Gy_ini[96,100] = 49.9151995897384
struct[0].Gy_ini[96,101] = 46.5699289619080
struct[0].Gy_ini[96,102] = 79.2784458116403
struct[0].Gy_ini[96,103] = 20.5427472507027
struct[0].Gy_ini[96,104] = 105.571769313180
struct[0].Gy_ini[96,105] = 54.0657727682604
struct[0].Gy_ini[96,106] = -39.6392229058202
struct[0].Gy_ini[96,107] = -10.2713736253513
struct[0].Gy_ini[96,108] = -24.9575997948692
struct[0].Gy_ini[96,109] = -23.2849644809540
struct[0].Gy_ini[96,110] = -39.6392229058202
struct[0].Gy_ini[96,111] = -10.2713736253513
struct[0].Gy_ini[97,88] = -54.0657727682604
struct[0].Gy_ini[97,89] = 105.571769313180
struct[0].Gy_ini[97,90] = 10.2713736253513
struct[0].Gy_ini[97,91] = -39.6392229058202
struct[0].Gy_ini[97,92] = 23.2849644809540
struct[0].Gy_ini[97,93] = -24.9575997948692
struct[0].Gy_ini[97,94] = 10.2713736253513
struct[0].Gy_ini[97,95] = -39.6392229058202
struct[0].Gy_ini[97,96] = 108.131545536521
struct[0].Gy_ini[97,97] = -211.143538626360
struct[0].Gy_ini[97,98] = -20.5427472507027
struct[0].Gy_ini[97,99] = 79.2784458116403
struct[0].Gy_ini[97,100] = -46.5699289619080
struct[0].Gy_ini[97,101] = 49.9151995897384
struct[0].Gy_ini[97,102] = -20.5427472507027
struct[0].Gy_ini[97,103] = 79.2784458116403
struct[0].Gy_ini[97,104] = -54.0657727682604
struct[0].Gy_ini[97,105] = 105.571769313180
struct[0].Gy_ini[97,106] = 10.2713736253513
struct[0].Gy_ini[97,107] = -39.6392229058202
struct[0].Gy_ini[97,108] = 23.2849644809540
struct[0].Gy_ini[97,109] = -24.9575997948692
struct[0].Gy_ini[97,110] = 10.2713736253513
struct[0].Gy_ini[97,111] = -39.6392229058202
struct[0].Gy_ini[98,88] = -39.6392229058202
struct[0].Gy_ini[98,89] = -10.2713736253513
struct[0].Gy_ini[98,90] = 105.571769313180
struct[0].Gy_ini[98,91] = 54.0657727682604
struct[0].Gy_ini[98,92] = -39.6392229058201
struct[0].Gy_ini[98,93] = -10.2713736253513
struct[0].Gy_ini[98,94] = -24.9575997948692
struct[0].Gy_ini[98,95] = -23.2849644809540
struct[0].Gy_ini[98,96] = 79.2784458116403
struct[0].Gy_ini[98,97] = 20.5427472507027
struct[0].Gy_ini[98,98] = -211.143538626360
struct[0].Gy_ini[98,99] = -108.131545536521
struct[0].Gy_ini[98,100] = 79.2784458116403
struct[0].Gy_ini[98,101] = 20.5427472507027
struct[0].Gy_ini[98,102] = 49.9151995897384
struct[0].Gy_ini[98,103] = 46.5699289619080
struct[0].Gy_ini[98,104] = -39.6392229058202
struct[0].Gy_ini[98,105] = -10.2713736253513
struct[0].Gy_ini[98,106] = 105.571769313180
struct[0].Gy_ini[98,107] = 54.0657727682604
struct[0].Gy_ini[98,108] = -39.6392229058201
struct[0].Gy_ini[98,109] = -10.2713736253513
struct[0].Gy_ini[98,110] = -24.9575997948692
struct[0].Gy_ini[98,111] = -23.2849644809540
struct[0].Gy_ini[99,88] = 10.2713736253513
struct[0].Gy_ini[99,89] = -39.6392229058202
struct[0].Gy_ini[99,90] = -54.0657727682604
struct[0].Gy_ini[99,91] = 105.571769313180
struct[0].Gy_ini[99,92] = 10.2713736253513
struct[0].Gy_ini[99,93] = -39.6392229058201
struct[0].Gy_ini[99,94] = 23.2849644809540
struct[0].Gy_ini[99,95] = -24.9575997948692
struct[0].Gy_ini[99,96] = -20.5427472507027
struct[0].Gy_ini[99,97] = 79.2784458116403
struct[0].Gy_ini[99,98] = 108.131545536521
struct[0].Gy_ini[99,99] = -211.143538626360
struct[0].Gy_ini[99,100] = -20.5427472507027
struct[0].Gy_ini[99,101] = 79.2784458116403
struct[0].Gy_ini[99,102] = -46.5699289619080
struct[0].Gy_ini[99,103] = 49.9151995897384
struct[0].Gy_ini[99,104] = 10.2713736253513
struct[0].Gy_ini[99,105] = -39.6392229058202
struct[0].Gy_ini[99,106] = -54.0657727682604
struct[0].Gy_ini[99,107] = 105.571769313180
struct[0].Gy_ini[99,108] = 10.2713736253513
struct[0].Gy_ini[99,109] = -39.6392229058201
struct[0].Gy_ini[99,110] = 23.2849644809540
struct[0].Gy_ini[99,111] = -24.9575997948692
struct[0].Gy_ini[100,88] = -24.9575997948692
struct[0].Gy_ini[100,89] = -23.2849644809540
struct[0].Gy_ini[100,90] = -39.6392229058202
struct[0].Gy_ini[100,91] = -10.2713736253513
struct[0].Gy_ini[100,92] = 105.571769313180
struct[0].Gy_ini[100,93] = 54.0657727682604
struct[0].Gy_ini[100,94] = -39.6392229058201
struct[0].Gy_ini[100,95] = -10.2713736253514
struct[0].Gy_ini[100,96] = 49.9151995897384
struct[0].Gy_ini[100,97] = 46.5699289619080
struct[0].Gy_ini[100,98] = 79.2784458116404
struct[0].Gy_ini[100,99] = 20.5427472507027
struct[0].Gy_ini[100,100] = -211.143538626360
struct[0].Gy_ini[100,101] = -108.131545536521
struct[0].Gy_ini[100,102] = 79.2784458116403
struct[0].Gy_ini[100,103] = 20.5427472507027
struct[0].Gy_ini[100,104] = -24.9575997948692
struct[0].Gy_ini[100,105] = -23.2849644809540
struct[0].Gy_ini[100,106] = -39.6392229058202
struct[0].Gy_ini[100,107] = -10.2713736253513
struct[0].Gy_ini[100,108] = 105.571769313180
struct[0].Gy_ini[100,109] = 54.0657727682604
struct[0].Gy_ini[100,110] = -39.6392229058201
struct[0].Gy_ini[100,111] = -10.2713736253514
struct[0].Gy_ini[101,88] = 23.2849644809540
struct[0].Gy_ini[101,89] = -24.9575997948692
struct[0].Gy_ini[101,90] = 10.2713736253513
struct[0].Gy_ini[101,91] = -39.6392229058202
struct[0].Gy_ini[101,92] = -54.0657727682604
struct[0].Gy_ini[101,93] = 105.571769313180
struct[0].Gy_ini[101,94] = 10.2713736253514
struct[0].Gy_ini[101,95] = -39.6392229058201
struct[0].Gy_ini[101,96] = -46.5699289619080
struct[0].Gy_ini[101,97] = 49.9151995897384
struct[0].Gy_ini[101,98] = -20.5427472507027
struct[0].Gy_ini[101,99] = 79.2784458116404
struct[0].Gy_ini[101,100] = 108.131545536521
struct[0].Gy_ini[101,101] = -211.143538626360
struct[0].Gy_ini[101,102] = -20.5427472507027
struct[0].Gy_ini[101,103] = 79.2784458116403
struct[0].Gy_ini[101,104] = 23.2849644809540
struct[0].Gy_ini[101,105] = -24.9575997948692
struct[0].Gy_ini[101,106] = 10.2713736253513
struct[0].Gy_ini[101,107] = -39.6392229058202
struct[0].Gy_ini[101,108] = -54.0657727682604
struct[0].Gy_ini[101,109] = 105.571769313180
struct[0].Gy_ini[101,110] = 10.2713736253514
struct[0].Gy_ini[101,111] = -39.6392229058201
struct[0].Gy_ini[102,88] = -39.6392229058202
struct[0].Gy_ini[102,89] = -10.2713736253513
struct[0].Gy_ini[102,90] = -24.9575997948692
struct[0].Gy_ini[102,91] = -23.2849644809540
struct[0].Gy_ini[102,92] = -39.6392229058202
struct[0].Gy_ini[102,93] = -10.2713736253513
struct[0].Gy_ini[102,94] = 105.571769313180
struct[0].Gy_ini[102,95] = 54.0657727682604
struct[0].Gy_ini[102,96] = 79.2784458116403
struct[0].Gy_ini[102,97] = 20.5427472507027
struct[0].Gy_ini[102,98] = 49.9151995897384
struct[0].Gy_ini[102,99] = 46.5699289619080
struct[0].Gy_ini[102,100] = 79.2784458116403
struct[0].Gy_ini[102,101] = 20.5427472507027
struct[0].Gy_ini[102,102] = -211.168538626360
struct[0].Gy_ini[102,103] = -108.131545536521
struct[0].Gy_ini[102,104] = -39.6392229058202
struct[0].Gy_ini[102,105] = -10.2713736253513
struct[0].Gy_ini[102,106] = -24.9575997948692
struct[0].Gy_ini[102,107] = -23.2849644809540
struct[0].Gy_ini[102,108] = -39.6392229058202
struct[0].Gy_ini[102,109] = -10.2713736253513
struct[0].Gy_ini[102,110] = 105.571769313180
struct[0].Gy_ini[102,111] = 54.0657727682604
struct[0].Gy_ini[103,88] = 10.2713736253513
struct[0].Gy_ini[103,89] = -39.6392229058202
struct[0].Gy_ini[103,90] = 23.2849644809540
struct[0].Gy_ini[103,91] = -24.9575997948692
struct[0].Gy_ini[103,92] = 10.2713736253513
struct[0].Gy_ini[103,93] = -39.6392229058202
struct[0].Gy_ini[103,94] = -54.0657727682604
struct[0].Gy_ini[103,95] = 105.571769313180
struct[0].Gy_ini[103,96] = -20.5427472507027
struct[0].Gy_ini[103,97] = 79.2784458116403
struct[0].Gy_ini[103,98] = -46.5699289619080
struct[0].Gy_ini[103,99] = 49.9151995897384
struct[0].Gy_ini[103,100] = -20.5427472507027
struct[0].Gy_ini[103,101] = 79.2784458116403
struct[0].Gy_ini[103,102] = 108.131545536521
struct[0].Gy_ini[103,103] = -211.168538626360
struct[0].Gy_ini[103,104] = 10.2713736253513
struct[0].Gy_ini[103,105] = -39.6392229058202
struct[0].Gy_ini[103,106] = 23.2849644809540
struct[0].Gy_ini[103,107] = -24.9575997948692
struct[0].Gy_ini[103,108] = 10.2713736253513
struct[0].Gy_ini[103,109] = -39.6392229058202
struct[0].Gy_ini[103,110] = -54.0657727682604
struct[0].Gy_ini[103,111] = 105.571769313180
struct[0].Gy_ini[104,32] = 30.9517475172273
struct[0].Gy_ini[104,33] = 5.65456401516768
struct[0].Gy_ini[104,34] = -9.21038227100566
struct[0].Gy_ini[104,35] = 1.84896616921897
struct[0].Gy_ini[104,36] = -9.00835072044485
struct[0].Gy_ini[104,37] = 0.793238195499529
struct[0].Gy_ini[104,38] = -9.21038227100566
struct[0].Gy_ini[104,39] = 1.84896616921897
struct[0].Gy_ini[104,96] = 105.571769313180
struct[0].Gy_ini[104,97] = 54.0657727682604
struct[0].Gy_ini[104,98] = -39.6392229058202
struct[0].Gy_ini[104,99] = -10.2713736253513
struct[0].Gy_ini[104,100] = -24.9575997948692
struct[0].Gy_ini[104,101] = -23.2849644809540
struct[0].Gy_ini[104,102] = -39.6392229058202
struct[0].Gy_ini[104,103] = -10.2713736253513
struct[0].Gy_ini[104,104] = -242.095286143588
struct[0].Gy_ini[104,105] = -113.786109551688
struct[0].Gy_ini[104,106] = 88.4888280826460
struct[0].Gy_ini[104,107] = 18.6937810814837
struct[0].Gy_ini[104,108] = 58.9235503101833
struct[0].Gy_ini[104,109] = 45.7766907664085
struct[0].Gy_ini[104,110] = 88.4888280826460
struct[0].Gy_ini[104,111] = 18.6937810814837
struct[0].Gy_ini[104,112] = 105.571769313180
struct[0].Gy_ini[104,113] = 54.0657727682604
struct[0].Gy_ini[104,114] = -39.6392229058202
struct[0].Gy_ini[104,115] = -10.2713736253513
struct[0].Gy_ini[104,116] = -24.9575997948692
struct[0].Gy_ini[104,117] = -23.2849644809540
struct[0].Gy_ini[104,118] = -39.6392229058202
struct[0].Gy_ini[104,119] = -10.2713736253513
struct[0].Gy_ini[105,32] = -5.65456401516768
struct[0].Gy_ini[105,33] = 30.9517475172273
struct[0].Gy_ini[105,34] = -1.84896616921897
struct[0].Gy_ini[105,35] = -9.21038227100566
struct[0].Gy_ini[105,36] = -0.793238195499529
struct[0].Gy_ini[105,37] = -9.00835072044485
struct[0].Gy_ini[105,38] = -1.84896616921897
struct[0].Gy_ini[105,39] = -9.21038227100566
struct[0].Gy_ini[105,96] = -54.0657727682604
struct[0].Gy_ini[105,97] = 105.571769313180
struct[0].Gy_ini[105,98] = 10.2713736253513
struct[0].Gy_ini[105,99] = -39.6392229058202
struct[0].Gy_ini[105,100] = 23.2849644809540
struct[0].Gy_ini[105,101] = -24.9575997948692
struct[0].Gy_ini[105,102] = 10.2713736253513
struct[0].Gy_ini[105,103] = -39.6392229058202
struct[0].Gy_ini[105,104] = 113.786109551688
struct[0].Gy_ini[105,105] = -242.095286143588
struct[0].Gy_ini[105,106] = -18.6937810814837
struct[0].Gy_ini[105,107] = 88.4888280826460
struct[0].Gy_ini[105,108] = -45.7766907664085
struct[0].Gy_ini[105,109] = 58.9235503101833
struct[0].Gy_ini[105,110] = -18.6937810814837
struct[0].Gy_ini[105,111] = 88.4888280826460
struct[0].Gy_ini[105,112] = -54.0657727682604
struct[0].Gy_ini[105,113] = 105.571769313180
struct[0].Gy_ini[105,114] = 10.2713736253513
struct[0].Gy_ini[105,115] = -39.6392229058202
struct[0].Gy_ini[105,116] = 23.2849644809540
struct[0].Gy_ini[105,117] = -24.9575997948692
struct[0].Gy_ini[105,118] = 10.2713736253513
struct[0].Gy_ini[105,119] = -39.6392229058202
struct[0].Gy_ini[106,32] = -9.21038227100566
struct[0].Gy_ini[106,33] = 1.84896616921897
struct[0].Gy_ini[106,34] = 30.9517475172273
struct[0].Gy_ini[106,35] = 5.65456401516768
struct[0].Gy_ini[106,36] = -9.21038227100566
struct[0].Gy_ini[106,37] = 1.84896616921897
struct[0].Gy_ini[106,38] = -9.00835072044485
struct[0].Gy_ini[106,39] = 0.793238195499528
struct[0].Gy_ini[106,96] = -39.6392229058202
struct[0].Gy_ini[106,97] = -10.2713736253513
struct[0].Gy_ini[106,98] = 105.571769313180
struct[0].Gy_ini[106,99] = 54.0657727682604
struct[0].Gy_ini[106,100] = -39.6392229058201
struct[0].Gy_ini[106,101] = -10.2713736253513
struct[0].Gy_ini[106,102] = -24.9575997948692
struct[0].Gy_ini[106,103] = -23.2849644809540
struct[0].Gy_ini[106,104] = 88.4888280826460
struct[0].Gy_ini[106,105] = 18.6937810814837
struct[0].Gy_ini[106,106] = -242.095286143588
struct[0].Gy_ini[106,107] = -113.786109551688
struct[0].Gy_ini[106,108] = 88.4888280826460
struct[0].Gy_ini[106,109] = 18.6937810814837
struct[0].Gy_ini[106,110] = 58.9235503101833
struct[0].Gy_ini[106,111] = 45.7766907664085
struct[0].Gy_ini[106,112] = -39.6392229058202
struct[0].Gy_ini[106,113] = -10.2713736253513
struct[0].Gy_ini[106,114] = 105.571769313180
struct[0].Gy_ini[106,115] = 54.0657727682604
struct[0].Gy_ini[106,116] = -39.6392229058201
struct[0].Gy_ini[106,117] = -10.2713736253513
struct[0].Gy_ini[106,118] = -24.9575997948692
struct[0].Gy_ini[106,119] = -23.2849644809540
struct[0].Gy_ini[107,32] = -1.84896616921897
struct[0].Gy_ini[107,33] = -9.21038227100566
struct[0].Gy_ini[107,34] = -5.65456401516768
struct[0].Gy_ini[107,35] = 30.9517475172273
struct[0].Gy_ini[107,36] = -1.84896616921897
struct[0].Gy_ini[107,37] = -9.21038227100566
struct[0].Gy_ini[107,38] = -0.793238195499528
struct[0].Gy_ini[107,39] = -9.00835072044485
struct[0].Gy_ini[107,96] = 10.2713736253513
struct[0].Gy_ini[107,97] = -39.6392229058202
struct[0].Gy_ini[107,98] = -54.0657727682604
struct[0].Gy_ini[107,99] = 105.571769313180
struct[0].Gy_ini[107,100] = 10.2713736253513
struct[0].Gy_ini[107,101] = -39.6392229058201
struct[0].Gy_ini[107,102] = 23.2849644809540
struct[0].Gy_ini[107,103] = -24.9575997948692
struct[0].Gy_ini[107,104] = -18.6937810814837
struct[0].Gy_ini[107,105] = 88.4888280826460
struct[0].Gy_ini[107,106] = 113.786109551688
struct[0].Gy_ini[107,107] = -242.095286143588
struct[0].Gy_ini[107,108] = -18.6937810814837
struct[0].Gy_ini[107,109] = 88.4888280826460
struct[0].Gy_ini[107,110] = -45.7766907664085
struct[0].Gy_ini[107,111] = 58.9235503101833
struct[0].Gy_ini[107,112] = 10.2713736253513
struct[0].Gy_ini[107,113] = -39.6392229058202
struct[0].Gy_ini[107,114] = -54.0657727682604
struct[0].Gy_ini[107,115] = 105.571769313180
struct[0].Gy_ini[107,116] = 10.2713736253513
struct[0].Gy_ini[107,117] = -39.6392229058201
struct[0].Gy_ini[107,118] = 23.2849644809540
struct[0].Gy_ini[107,119] = -24.9575997948692
struct[0].Gy_ini[108,32] = -9.00835072044484
struct[0].Gy_ini[108,33] = 0.793238195499527
struct[0].Gy_ini[108,34] = -9.21038227100566
struct[0].Gy_ini[108,35] = 1.84896616921897
struct[0].Gy_ini[108,36] = 30.9517475172273
struct[0].Gy_ini[108,37] = 5.65456401516768
struct[0].Gy_ini[108,38] = -9.21038227100566
struct[0].Gy_ini[108,39] = 1.84896616921897
struct[0].Gy_ini[108,96] = -24.9575997948692
struct[0].Gy_ini[108,97] = -23.2849644809540
struct[0].Gy_ini[108,98] = -39.6392229058202
struct[0].Gy_ini[108,99] = -10.2713736253513
struct[0].Gy_ini[108,100] = 105.571769313180
struct[0].Gy_ini[108,101] = 54.0657727682604
struct[0].Gy_ini[108,102] = -39.6392229058201
struct[0].Gy_ini[108,103] = -10.2713736253514
struct[0].Gy_ini[108,104] = 58.9235503101833
struct[0].Gy_ini[108,105] = 45.7766907664085
struct[0].Gy_ini[108,106] = 88.4888280826461
struct[0].Gy_ini[108,107] = 18.6937810814837
struct[0].Gy_ini[108,108] = -242.095286143588
struct[0].Gy_ini[108,109] = -113.786109551688
struct[0].Gy_ini[108,110] = 88.4888280826459
struct[0].Gy_ini[108,111] = 18.6937810814837
struct[0].Gy_ini[108,112] = -24.9575997948692
struct[0].Gy_ini[108,113] = -23.2849644809540
struct[0].Gy_ini[108,114] = -39.6392229058202
struct[0].Gy_ini[108,115] = -10.2713736253513
struct[0].Gy_ini[108,116] = 105.571769313180
struct[0].Gy_ini[108,117] = 54.0657727682604
struct[0].Gy_ini[108,118] = -39.6392229058201
struct[0].Gy_ini[108,119] = -10.2713736253514
struct[0].Gy_ini[109,32] = -0.793238195499527
struct[0].Gy_ini[109,33] = -9.00835072044484
struct[0].Gy_ini[109,34] = -1.84896616921897
struct[0].Gy_ini[109,35] = -9.21038227100566
struct[0].Gy_ini[109,36] = -5.65456401516768
struct[0].Gy_ini[109,37] = 30.9517475172273
struct[0].Gy_ini[109,38] = -1.84896616921897
struct[0].Gy_ini[109,39] = -9.21038227100566
struct[0].Gy_ini[109,96] = 23.2849644809540
struct[0].Gy_ini[109,97] = -24.9575997948692
struct[0].Gy_ini[109,98] = 10.2713736253513
struct[0].Gy_ini[109,99] = -39.6392229058202
struct[0].Gy_ini[109,100] = -54.0657727682604
struct[0].Gy_ini[109,101] = 105.571769313180
struct[0].Gy_ini[109,102] = 10.2713736253514
struct[0].Gy_ini[109,103] = -39.6392229058201
struct[0].Gy_ini[109,104] = -45.7766907664085
struct[0].Gy_ini[109,105] = 58.9235503101833
struct[0].Gy_ini[109,106] = -18.6937810814837
struct[0].Gy_ini[109,107] = 88.4888280826461
struct[0].Gy_ini[109,108] = 113.786109551688
struct[0].Gy_ini[109,109] = -242.095286143588
struct[0].Gy_ini[109,110] = -18.6937810814837
struct[0].Gy_ini[109,111] = 88.4888280826459
struct[0].Gy_ini[109,112] = 23.2849644809540
struct[0].Gy_ini[109,113] = -24.9575997948692
struct[0].Gy_ini[109,114] = 10.2713736253513
struct[0].Gy_ini[109,115] = -39.6392229058202
struct[0].Gy_ini[109,116] = -54.0657727682604
struct[0].Gy_ini[109,117] = 105.571769313180
struct[0].Gy_ini[109,118] = 10.2713736253514
struct[0].Gy_ini[109,119] = -39.6392229058201
struct[0].Gy_ini[110,32] = -9.21038227100566
struct[0].Gy_ini[110,33] = 1.84896616921897
struct[0].Gy_ini[110,34] = -9.00835072044485
struct[0].Gy_ini[110,35] = 0.793238195499527
struct[0].Gy_ini[110,36] = -9.21038227100566
struct[0].Gy_ini[110,37] = 1.84896616921897
struct[0].Gy_ini[110,38] = 30.9517475172273
struct[0].Gy_ini[110,39] = 5.65456401516768
struct[0].Gy_ini[110,96] = -39.6392229058202
struct[0].Gy_ini[110,97] = -10.2713736253513
struct[0].Gy_ini[110,98] = -24.9575997948692
struct[0].Gy_ini[110,99] = -23.2849644809540
struct[0].Gy_ini[110,100] = -39.6392229058202
struct[0].Gy_ini[110,101] = -10.2713736253513
struct[0].Gy_ini[110,102] = 105.571769313180
struct[0].Gy_ini[110,103] = 54.0657727682604
struct[0].Gy_ini[110,104] = 88.4888280826460
struct[0].Gy_ini[110,105] = 18.6937810814837
struct[0].Gy_ini[110,106] = 58.9235503101832
struct[0].Gy_ini[110,107] = 45.7766907664085
struct[0].Gy_ini[110,108] = 88.4888280826460
struct[0].Gy_ini[110,109] = 18.6937810814837
struct[0].Gy_ini[110,110] = -242.095286143588
struct[0].Gy_ini[110,111] = -113.786109551688
struct[0].Gy_ini[110,112] = -39.6392229058202
struct[0].Gy_ini[110,113] = -10.2713736253513
struct[0].Gy_ini[110,114] = -24.9575997948692
struct[0].Gy_ini[110,115] = -23.2849644809540
struct[0].Gy_ini[110,116] = -39.6392229058202
struct[0].Gy_ini[110,117] = -10.2713736253513
struct[0].Gy_ini[110,118] = 105.571769313180
struct[0].Gy_ini[110,119] = 54.0657727682604
struct[0].Gy_ini[111,32] = -1.84896616921897
struct[0].Gy_ini[111,33] = -9.21038227100566
struct[0].Gy_ini[111,34] = -0.793238195499527
struct[0].Gy_ini[111,35] = -9.00835072044485
struct[0].Gy_ini[111,36] = -1.84896616921897
struct[0].Gy_ini[111,37] = -9.21038227100566
struct[0].Gy_ini[111,38] = -5.65456401516768
struct[0].Gy_ini[111,39] = 30.9517475172273
struct[0].Gy_ini[111,96] = 10.2713736253513
struct[0].Gy_ini[111,97] = -39.6392229058202
struct[0].Gy_ini[111,98] = 23.2849644809540
struct[0].Gy_ini[111,99] = -24.9575997948692
struct[0].Gy_ini[111,100] = 10.2713736253513
struct[0].Gy_ini[111,101] = -39.6392229058202
struct[0].Gy_ini[111,102] = -54.0657727682604
struct[0].Gy_ini[111,103] = 105.571769313180
struct[0].Gy_ini[111,104] = -18.6937810814837
struct[0].Gy_ini[111,105] = 88.4888280826460
struct[0].Gy_ini[111,106] = -45.7766907664085
struct[0].Gy_ini[111,107] = 58.9235503101832
struct[0].Gy_ini[111,108] = -18.6937810814837
struct[0].Gy_ini[111,109] = 88.4888280826460
struct[0].Gy_ini[111,110] = 113.786109551688
struct[0].Gy_ini[111,111] = -242.095286143588
struct[0].Gy_ini[111,112] = 10.2713736253513
struct[0].Gy_ini[111,113] = -39.6392229058202
struct[0].Gy_ini[111,114] = 23.2849644809540
struct[0].Gy_ini[111,115] = -24.9575997948692
struct[0].Gy_ini[111,116] = 10.2713736253513
struct[0].Gy_ini[111,117] = -39.6392229058202
struct[0].Gy_ini[111,118] = -54.0657727682604
struct[0].Gy_ini[111,119] = 105.571769313180
struct[0].Gy_ini[112,40] = 30.9517475172273
struct[0].Gy_ini[112,41] = 5.65456401516768
struct[0].Gy_ini[112,42] = -9.21038227100566
struct[0].Gy_ini[112,43] = 1.84896616921897
struct[0].Gy_ini[112,44] = -9.00835072044485
struct[0].Gy_ini[112,45] = 0.793238195499529
struct[0].Gy_ini[112,46] = -9.21038227100566
struct[0].Gy_ini[112,47] = 1.84896616921897
struct[0].Gy_ini[112,104] = 105.571769313180
struct[0].Gy_ini[112,105] = 54.0657727682604
struct[0].Gy_ini[112,106] = -39.6392229058202
struct[0].Gy_ini[112,107] = -10.2713736253513
struct[0].Gy_ini[112,108] = -24.9575997948692
struct[0].Gy_ini[112,109] = -23.2849644809540
struct[0].Gy_ini[112,110] = -39.6392229058202
struct[0].Gy_ini[112,111] = -10.2713736253513
struct[0].Gy_ini[112,112] = -136.523516830407
struct[0].Gy_ini[112,113] = -59.7203367834281
struct[0].Gy_ini[112,114] = 48.8496051768258
struct[0].Gy_ini[112,115] = 8.42240745613237
struct[0].Gy_ini[112,116] = 33.9659505153141
struct[0].Gy_ini[112,117] = 22.4917262854545
struct[0].Gy_ini[112,118] = 48.8496051768258
struct[0].Gy_ini[112,119] = 8.42240745613237
struct[0].Gy_ini[113,40] = -5.65456401516768
struct[0].Gy_ini[113,41] = 30.9517475172273
struct[0].Gy_ini[113,42] = -1.84896616921897
struct[0].Gy_ini[113,43] = -9.21038227100566
struct[0].Gy_ini[113,44] = -0.793238195499529
struct[0].Gy_ini[113,45] = -9.00835072044485
struct[0].Gy_ini[113,46] = -1.84896616921897
struct[0].Gy_ini[113,47] = -9.21038227100566
struct[0].Gy_ini[113,104] = -54.0657727682604
struct[0].Gy_ini[113,105] = 105.571769313180
struct[0].Gy_ini[113,106] = 10.2713736253513
struct[0].Gy_ini[113,107] = -39.6392229058202
struct[0].Gy_ini[113,108] = 23.2849644809540
struct[0].Gy_ini[113,109] = -24.9575997948692
struct[0].Gy_ini[113,110] = 10.2713736253513
struct[0].Gy_ini[113,111] = -39.6392229058202
struct[0].Gy_ini[113,112] = 59.7203367834281
struct[0].Gy_ini[113,113] = -136.523516830407
struct[0].Gy_ini[113,114] = -8.42240745613237
struct[0].Gy_ini[113,115] = 48.8496051768258
struct[0].Gy_ini[113,116] = -22.4917262854545
struct[0].Gy_ini[113,117] = 33.9659505153141
struct[0].Gy_ini[113,118] = -8.42240745613237
struct[0].Gy_ini[113,119] = 48.8496051768258
struct[0].Gy_ini[114,40] = -9.21038227100566
struct[0].Gy_ini[114,41] = 1.84896616921897
struct[0].Gy_ini[114,42] = 30.9517475172273
struct[0].Gy_ini[114,43] = 5.65456401516768
struct[0].Gy_ini[114,44] = -9.21038227100566
struct[0].Gy_ini[114,45] = 1.84896616921897
struct[0].Gy_ini[114,46] = -9.00835072044485
struct[0].Gy_ini[114,47] = 0.793238195499528
struct[0].Gy_ini[114,104] = -39.6392229058202
struct[0].Gy_ini[114,105] = -10.2713736253513
struct[0].Gy_ini[114,106] = 105.571769313180
struct[0].Gy_ini[114,107] = 54.0657727682604
struct[0].Gy_ini[114,108] = -39.6392229058201
struct[0].Gy_ini[114,109] = -10.2713736253513
struct[0].Gy_ini[114,110] = -24.9575997948692
struct[0].Gy_ini[114,111] = -23.2849644809540
struct[0].Gy_ini[114,112] = 48.8496051768258
struct[0].Gy_ini[114,113] = 8.42240745613237
struct[0].Gy_ini[114,114] = -136.523516830407
struct[0].Gy_ini[114,115] = -59.7203367834280
struct[0].Gy_ini[114,116] = 48.8496051768258
struct[0].Gy_ini[114,117] = 8.42240745613238
struct[0].Gy_ini[114,118] = 33.9659505153141
struct[0].Gy_ini[114,119] = 22.4917262854545
struct[0].Gy_ini[115,40] = -1.84896616921897
struct[0].Gy_ini[115,41] = -9.21038227100566
struct[0].Gy_ini[115,42] = -5.65456401516768
struct[0].Gy_ini[115,43] = 30.9517475172273
struct[0].Gy_ini[115,44] = -1.84896616921897
struct[0].Gy_ini[115,45] = -9.21038227100566
struct[0].Gy_ini[115,46] = -0.793238195499528
struct[0].Gy_ini[115,47] = -9.00835072044485
struct[0].Gy_ini[115,104] = 10.2713736253513
struct[0].Gy_ini[115,105] = -39.6392229058202
struct[0].Gy_ini[115,106] = -54.0657727682604
struct[0].Gy_ini[115,107] = 105.571769313180
struct[0].Gy_ini[115,108] = 10.2713736253513
struct[0].Gy_ini[115,109] = -39.6392229058201
struct[0].Gy_ini[115,110] = 23.2849644809540
struct[0].Gy_ini[115,111] = -24.9575997948692
struct[0].Gy_ini[115,112] = -8.42240745613237
struct[0].Gy_ini[115,113] = 48.8496051768258
struct[0].Gy_ini[115,114] = 59.7203367834280
struct[0].Gy_ini[115,115] = -136.523516830407
struct[0].Gy_ini[115,116] = -8.42240745613238
struct[0].Gy_ini[115,117] = 48.8496051768258
struct[0].Gy_ini[115,118] = -22.4917262854545
struct[0].Gy_ini[115,119] = 33.9659505153141
struct[0].Gy_ini[116,40] = -9.00835072044484
struct[0].Gy_ini[116,41] = 0.793238195499527
struct[0].Gy_ini[116,42] = -9.21038227100566
struct[0].Gy_ini[116,43] = 1.84896616921897
struct[0].Gy_ini[116,44] = 30.9517475172273
struct[0].Gy_ini[116,45] = 5.65456401516768
struct[0].Gy_ini[116,46] = -9.21038227100566
struct[0].Gy_ini[116,47] = 1.84896616921897
struct[0].Gy_ini[116,104] = -24.9575997948692
struct[0].Gy_ini[116,105] = -23.2849644809540
struct[0].Gy_ini[116,106] = -39.6392229058202
struct[0].Gy_ini[116,107] = -10.2713736253513
struct[0].Gy_ini[116,108] = 105.571769313180
struct[0].Gy_ini[116,109] = 54.0657727682604
struct[0].Gy_ini[116,110] = -39.6392229058201
struct[0].Gy_ini[116,111] = -10.2713736253514
struct[0].Gy_ini[116,112] = 33.9659505153141
struct[0].Gy_ini[116,113] = 22.4917262854545
struct[0].Gy_ini[116,114] = 48.8496051768259
struct[0].Gy_ini[116,115] = 8.42240745613236
struct[0].Gy_ini[116,116] = -136.523516830407
struct[0].Gy_ini[116,117] = -59.7203367834281
struct[0].Gy_ini[116,118] = 48.8496051768258
struct[0].Gy_ini[116,119] = 8.42240745613239
struct[0].Gy_ini[117,40] = -0.793238195499527
struct[0].Gy_ini[117,41] = -9.00835072044484
struct[0].Gy_ini[117,42] = -1.84896616921897
struct[0].Gy_ini[117,43] = -9.21038227100566
struct[0].Gy_ini[117,44] = -5.65456401516768
struct[0].Gy_ini[117,45] = 30.9517475172273
struct[0].Gy_ini[117,46] = -1.84896616921897
struct[0].Gy_ini[117,47] = -9.21038227100566
struct[0].Gy_ini[117,104] = 23.2849644809540
struct[0].Gy_ini[117,105] = -24.9575997948692
struct[0].Gy_ini[117,106] = 10.2713736253513
struct[0].Gy_ini[117,107] = -39.6392229058202
struct[0].Gy_ini[117,108] = -54.0657727682604
struct[0].Gy_ini[117,109] = 105.571769313180
struct[0].Gy_ini[117,110] = 10.2713736253514
struct[0].Gy_ini[117,111] = -39.6392229058201
struct[0].Gy_ini[117,112] = -22.4917262854545
struct[0].Gy_ini[117,113] = 33.9659505153141
struct[0].Gy_ini[117,114] = -8.42240745613236
struct[0].Gy_ini[117,115] = 48.8496051768259
struct[0].Gy_ini[117,116] = 59.7203367834281
struct[0].Gy_ini[117,117] = -136.523516830407
struct[0].Gy_ini[117,118] = -8.42240745613239
struct[0].Gy_ini[117,119] = 48.8496051768258
struct[0].Gy_ini[118,40] = -9.21038227100566
struct[0].Gy_ini[118,41] = 1.84896616921897
struct[0].Gy_ini[118,42] = -9.00835072044485
struct[0].Gy_ini[118,43] = 0.793238195499527
struct[0].Gy_ini[118,44] = -9.21038227100566
struct[0].Gy_ini[118,45] = 1.84896616921897
struct[0].Gy_ini[118,46] = 30.9517475172273
struct[0].Gy_ini[118,47] = 5.65456401516768
struct[0].Gy_ini[118,104] = -39.6392229058202
struct[0].Gy_ini[118,105] = -10.2713736253513
struct[0].Gy_ini[118,106] = -24.9575997948692
struct[0].Gy_ini[118,107] = -23.2849644809540
struct[0].Gy_ini[118,108] = -39.6392229058202
struct[0].Gy_ini[118,109] = -10.2713736253513
struct[0].Gy_ini[118,110] = 105.571769313180
struct[0].Gy_ini[118,111] = 54.0657727682604
struct[0].Gy_ini[118,112] = 48.8496051768258
struct[0].Gy_ini[118,113] = 8.42240745613237
struct[0].Gy_ini[118,114] = 33.9659505153140
struct[0].Gy_ini[118,115] = 22.4917262854545
struct[0].Gy_ini[118,116] = 48.8496051768258
struct[0].Gy_ini[118,117] = 8.42240745613237
struct[0].Gy_ini[118,118] = -136.548516830407
struct[0].Gy_ini[118,119] = -59.7203367834281
struct[0].Gy_ini[119,40] = -1.84896616921897
struct[0].Gy_ini[119,41] = -9.21038227100566
struct[0].Gy_ini[119,42] = -0.793238195499527
struct[0].Gy_ini[119,43] = -9.00835072044485
struct[0].Gy_ini[119,44] = -1.84896616921897
struct[0].Gy_ini[119,45] = -9.21038227100566
struct[0].Gy_ini[119,46] = -5.65456401516768
struct[0].Gy_ini[119,47] = 30.9517475172273
struct[0].Gy_ini[119,104] = 10.2713736253513
struct[0].Gy_ini[119,105] = -39.6392229058202
struct[0].Gy_ini[119,106] = 23.2849644809540
struct[0].Gy_ini[119,107] = -24.9575997948692
struct[0].Gy_ini[119,108] = 10.2713736253513
struct[0].Gy_ini[119,109] = -39.6392229058202
struct[0].Gy_ini[119,110] = -54.0657727682604
struct[0].Gy_ini[119,111] = 105.571769313180
struct[0].Gy_ini[119,112] = -8.42240745613237
struct[0].Gy_ini[119,113] = 48.8496051768258
struct[0].Gy_ini[119,114] = -22.4917262854545
struct[0].Gy_ini[119,115] = 33.9659505153140
struct[0].Gy_ini[119,116] = -8.42240745613237
struct[0].Gy_ini[119,117] = 48.8496051768258
struct[0].Gy_ini[119,118] = 59.7203367834281
struct[0].Gy_ini[119,119] = -136.548516830407
struct[0].Gy_ini[120,64] = 26.5300693004806
struct[0].Gy_ini[120,65] = 4.84676915585801
struct[0].Gy_ini[120,66] = -7.89461337514770
struct[0].Gy_ini[120,67] = 1.58482814504483
struct[0].Gy_ini[120,68] = -7.72144347466701
struct[0].Gy_ini[120,69] = 0.679918453285310
struct[0].Gy_ini[120,70] = -7.89461337514771
struct[0].Gy_ini[120,71] = 1.58482814504483
struct[0].Gy_ini[120,120] = -53.0601386009611
struct[0].Gy_ini[120,121] = -9.69353831171601
struct[0].Gy_ini[120,122] = 15.7892267502954
struct[0].Gy_ini[120,123] = -3.16965629008966
struct[0].Gy_ini[120,124] = 15.4428869493340
struct[0].Gy_ini[120,125] = -1.35983690657062
struct[0].Gy_ini[120,126] = 15.7892267502954
struct[0].Gy_ini[120,127] = -3.16965629008966
struct[0].Gy_ini[120,128] = 26.5300693004806
struct[0].Gy_ini[120,129] = 4.84676915585801
struct[0].Gy_ini[120,130] = -7.89461337514770
struct[0].Gy_ini[120,131] = 1.58482814504483
struct[0].Gy_ini[120,132] = -7.72144347466701
struct[0].Gy_ini[120,133] = 0.679918453285310
struct[0].Gy_ini[120,134] = -7.89461337514771
struct[0].Gy_ini[120,135] = 1.58482814504483
struct[0].Gy_ini[121,64] = -4.84676915585801
struct[0].Gy_ini[121,65] = 26.5300693004806
struct[0].Gy_ini[121,66] = -1.58482814504483
struct[0].Gy_ini[121,67] = -7.89461337514770
struct[0].Gy_ini[121,68] = -0.679918453285310
struct[0].Gy_ini[121,69] = -7.72144347466701
struct[0].Gy_ini[121,70] = -1.58482814504483
struct[0].Gy_ini[121,71] = -7.89461337514771
struct[0].Gy_ini[121,120] = 9.69353831171601
struct[0].Gy_ini[121,121] = -53.0601386009611
struct[0].Gy_ini[121,122] = 3.16965629008966
struct[0].Gy_ini[121,123] = 15.7892267502954
struct[0].Gy_ini[121,124] = 1.35983690657062
struct[0].Gy_ini[121,125] = 15.4428869493340
struct[0].Gy_ini[121,126] = 3.16965629008966
struct[0].Gy_ini[121,127] = 15.7892267502954
struct[0].Gy_ini[121,128] = -4.84676915585801
struct[0].Gy_ini[121,129] = 26.5300693004806
struct[0].Gy_ini[121,130] = -1.58482814504483
struct[0].Gy_ini[121,131] = -7.89461337514770
struct[0].Gy_ini[121,132] = -0.679918453285310
struct[0].Gy_ini[121,133] = -7.72144347466701
struct[0].Gy_ini[121,134] = -1.58482814504483
struct[0].Gy_ini[121,135] = -7.89461337514771
struct[0].Gy_ini[122,64] = -7.89461337514771
struct[0].Gy_ini[122,65] = 1.58482814504483
struct[0].Gy_ini[122,66] = 26.5300693004806
struct[0].Gy_ini[122,67] = 4.84676915585801
struct[0].Gy_ini[122,68] = -7.89461337514771
struct[0].Gy_ini[122,69] = 1.58482814504483
struct[0].Gy_ini[122,70] = -7.72144347466701
struct[0].Gy_ini[122,71] = 0.679918453285308
struct[0].Gy_ini[122,120] = 15.7892267502954
struct[0].Gy_ini[122,121] = -3.16965629008966
struct[0].Gy_ini[122,122] = -53.0601386009611
struct[0].Gy_ini[122,123] = -9.69353831171602
struct[0].Gy_ini[122,124] = 15.7892267502954
struct[0].Gy_ini[122,125] = -3.16965629008967
struct[0].Gy_ini[122,126] = 15.4428869493340
struct[0].Gy_ini[122,127] = -1.35983690657062
struct[0].Gy_ini[122,128] = -7.89461337514771
struct[0].Gy_ini[122,129] = 1.58482814504483
struct[0].Gy_ini[122,130] = 26.5300693004806
struct[0].Gy_ini[122,131] = 4.84676915585801
struct[0].Gy_ini[122,132] = -7.89461337514771
struct[0].Gy_ini[122,133] = 1.58482814504483
struct[0].Gy_ini[122,134] = -7.72144347466701
struct[0].Gy_ini[122,135] = 0.679918453285308
struct[0].Gy_ini[123,64] = -1.58482814504483
struct[0].Gy_ini[123,65] = -7.89461337514771
struct[0].Gy_ini[123,66] = -4.84676915585801
struct[0].Gy_ini[123,67] = 26.5300693004806
struct[0].Gy_ini[123,68] = -1.58482814504483
struct[0].Gy_ini[123,69] = -7.89461337514771
struct[0].Gy_ini[123,70] = -0.679918453285308
struct[0].Gy_ini[123,71] = -7.72144347466701
struct[0].Gy_ini[123,120] = 3.16965629008966
struct[0].Gy_ini[123,121] = 15.7892267502954
struct[0].Gy_ini[123,122] = 9.69353831171602
struct[0].Gy_ini[123,123] = -53.0601386009611
struct[0].Gy_ini[123,124] = 3.16965629008967
struct[0].Gy_ini[123,125] = 15.7892267502954
struct[0].Gy_ini[123,126] = 1.35983690657062
struct[0].Gy_ini[123,127] = 15.4428869493340
struct[0].Gy_ini[123,128] = -1.58482814504483
struct[0].Gy_ini[123,129] = -7.89461337514771
struct[0].Gy_ini[123,130] = -4.84676915585801
struct[0].Gy_ini[123,131] = 26.5300693004806
struct[0].Gy_ini[123,132] = -1.58482814504483
struct[0].Gy_ini[123,133] = -7.89461337514771
struct[0].Gy_ini[123,134] = -0.679918453285308
struct[0].Gy_ini[123,135] = -7.72144347466701
struct[0].Gy_ini[124,64] = -7.72144347466701
struct[0].Gy_ini[124,65] = 0.679918453285310
struct[0].Gy_ini[124,66] = -7.89461337514770
struct[0].Gy_ini[124,67] = 1.58482814504483
struct[0].Gy_ini[124,68] = 26.5300693004806
struct[0].Gy_ini[124,69] = 4.84676915585801
struct[0].Gy_ini[124,70] = -7.89461337514771
struct[0].Gy_ini[124,71] = 1.58482814504483
struct[0].Gy_ini[124,120] = 15.4428869493340
struct[0].Gy_ini[124,121] = -1.35983690657062
struct[0].Gy_ini[124,122] = 15.7892267502954
struct[0].Gy_ini[124,123] = -3.16965629008966
struct[0].Gy_ini[124,124] = -53.0601386009611
struct[0].Gy_ini[124,125] = -9.69353831171602
struct[0].Gy_ini[124,126] = 15.7892267502954
struct[0].Gy_ini[124,127] = -3.16965629008967
struct[0].Gy_ini[124,128] = -7.72144347466701
struct[0].Gy_ini[124,129] = 0.679918453285310
struct[0].Gy_ini[124,130] = -7.89461337514770
struct[0].Gy_ini[124,131] = 1.58482814504483
struct[0].Gy_ini[124,132] = 26.5300693004806
struct[0].Gy_ini[124,133] = 4.84676915585801
struct[0].Gy_ini[124,134] = -7.89461337514771
struct[0].Gy_ini[124,135] = 1.58482814504483
struct[0].Gy_ini[125,64] = -0.679918453285310
struct[0].Gy_ini[125,65] = -7.72144347466701
struct[0].Gy_ini[125,66] = -1.58482814504483
struct[0].Gy_ini[125,67] = -7.89461337514770
struct[0].Gy_ini[125,68] = -4.84676915585801
struct[0].Gy_ini[125,69] = 26.5300693004806
struct[0].Gy_ini[125,70] = -1.58482814504483
struct[0].Gy_ini[125,71] = -7.89461337514771
struct[0].Gy_ini[125,120] = 1.35983690657062
struct[0].Gy_ini[125,121] = 15.4428869493340
struct[0].Gy_ini[125,122] = 3.16965629008966
struct[0].Gy_ini[125,123] = 15.7892267502954
struct[0].Gy_ini[125,124] = 9.69353831171602
struct[0].Gy_ini[125,125] = -53.0601386009611
struct[0].Gy_ini[125,126] = 3.16965629008967
struct[0].Gy_ini[125,127] = 15.7892267502954
struct[0].Gy_ini[125,128] = -0.679918453285310
struct[0].Gy_ini[125,129] = -7.72144347466701
struct[0].Gy_ini[125,130] = -1.58482814504483
struct[0].Gy_ini[125,131] = -7.89461337514770
struct[0].Gy_ini[125,132] = -4.84676915585801
struct[0].Gy_ini[125,133] = 26.5300693004806
struct[0].Gy_ini[125,134] = -1.58482814504483
struct[0].Gy_ini[125,135] = -7.89461337514771
struct[0].Gy_ini[126,64] = -7.89461337514771
struct[0].Gy_ini[126,65] = 1.58482814504483
struct[0].Gy_ini[126,66] = -7.72144347466701
struct[0].Gy_ini[126,67] = 0.679918453285308
struct[0].Gy_ini[126,68] = -7.89461337514771
struct[0].Gy_ini[126,69] = 1.58482814504483
struct[0].Gy_ini[126,70] = 26.5300693004806
struct[0].Gy_ini[126,71] = 4.84676915585801
struct[0].Gy_ini[126,120] = 15.7892267502954
struct[0].Gy_ini[126,121] = -3.16965629008966
struct[0].Gy_ini[126,122] = 15.4428869493340
struct[0].Gy_ini[126,123] = -1.35983690657062
struct[0].Gy_ini[126,124] = 15.7892267502954
struct[0].Gy_ini[126,125] = -3.16965629008966
struct[0].Gy_ini[126,126] = -53.0601386009611
struct[0].Gy_ini[126,127] = -9.69353831171602
struct[0].Gy_ini[126,128] = -7.89461337514771
struct[0].Gy_ini[126,129] = 1.58482814504483
struct[0].Gy_ini[126,130] = -7.72144347466701
struct[0].Gy_ini[126,131] = 0.679918453285308
struct[0].Gy_ini[126,132] = -7.89461337514771
struct[0].Gy_ini[126,133] = 1.58482814504483
struct[0].Gy_ini[126,134] = 26.5300693004806
struct[0].Gy_ini[126,135] = 4.84676915585801
struct[0].Gy_ini[127,64] = -1.58482814504483
struct[0].Gy_ini[127,65] = -7.89461337514771
struct[0].Gy_ini[127,66] = -0.679918453285308
struct[0].Gy_ini[127,67] = -7.72144347466701
struct[0].Gy_ini[127,68] = -1.58482814504483
struct[0].Gy_ini[127,69] = -7.89461337514771
struct[0].Gy_ini[127,70] = -4.84676915585801
struct[0].Gy_ini[127,71] = 26.5300693004806
struct[0].Gy_ini[127,120] = 3.16965629008966
struct[0].Gy_ini[127,121] = 15.7892267502954
struct[0].Gy_ini[127,122] = 1.35983690657062
struct[0].Gy_ini[127,123] = 15.4428869493340
struct[0].Gy_ini[127,124] = 3.16965629008966
struct[0].Gy_ini[127,125] = 15.7892267502954
struct[0].Gy_ini[127,126] = 9.69353831171602
struct[0].Gy_ini[127,127] = -53.0601386009611
struct[0].Gy_ini[127,128] = -1.58482814504483
struct[0].Gy_ini[127,129] = -7.89461337514771
struct[0].Gy_ini[127,130] = -0.679918453285308
struct[0].Gy_ini[127,131] = -7.72144347466701
struct[0].Gy_ini[127,132] = -1.58482814504483
struct[0].Gy_ini[127,133] = -7.89461337514771
struct[0].Gy_ini[127,134] = -4.84676915585801
struct[0].Gy_ini[127,135] = 26.5300693004806
struct[0].Gy_ini[128,120] = 26.5300693004806
struct[0].Gy_ini[128,121] = 4.84676915585801
struct[0].Gy_ini[128,122] = -7.89461337514770
struct[0].Gy_ini[128,123] = 1.58482814504483
struct[0].Gy_ini[128,124] = -7.72144347466701
struct[0].Gy_ini[128,125] = 0.679918453285310
struct[0].Gy_ini[128,126] = -7.89461337514771
struct[0].Gy_ini[128,127] = 1.58482814504483
struct[0].Gy_ini[128,128] = -53.0601386009611
struct[0].Gy_ini[128,129] = -9.69353831171601
struct[0].Gy_ini[128,130] = 15.7892267502954
struct[0].Gy_ini[128,131] = -3.16965629008966
struct[0].Gy_ini[128,132] = 15.4428869493340
struct[0].Gy_ini[128,133] = -1.35983690657062
struct[0].Gy_ini[128,134] = 15.7892267502954
struct[0].Gy_ini[128,135] = -3.16965629008966
struct[0].Gy_ini[128,136] = 26.5300693004806
struct[0].Gy_ini[128,137] = 4.84676915585801
struct[0].Gy_ini[128,138] = -7.89461337514770
struct[0].Gy_ini[128,139] = 1.58482814504483
struct[0].Gy_ini[128,140] = -7.72144347466701
struct[0].Gy_ini[128,141] = 0.679918453285310
struct[0].Gy_ini[128,142] = -7.89461337514771
struct[0].Gy_ini[128,143] = 1.58482814504483
struct[0].Gy_ini[129,120] = -4.84676915585801
struct[0].Gy_ini[129,121] = 26.5300693004806
struct[0].Gy_ini[129,122] = -1.58482814504483
struct[0].Gy_ini[129,123] = -7.89461337514770
struct[0].Gy_ini[129,124] = -0.679918453285310
struct[0].Gy_ini[129,125] = -7.72144347466701
struct[0].Gy_ini[129,126] = -1.58482814504483
struct[0].Gy_ini[129,127] = -7.89461337514771
struct[0].Gy_ini[129,128] = 9.69353831171601
struct[0].Gy_ini[129,129] = -53.0601386009611
struct[0].Gy_ini[129,130] = 3.16965629008966
struct[0].Gy_ini[129,131] = 15.7892267502954
struct[0].Gy_ini[129,132] = 1.35983690657062
struct[0].Gy_ini[129,133] = 15.4428869493340
struct[0].Gy_ini[129,134] = 3.16965629008966
struct[0].Gy_ini[129,135] = 15.7892267502954
struct[0].Gy_ini[129,136] = -4.84676915585801
struct[0].Gy_ini[129,137] = 26.5300693004806
struct[0].Gy_ini[129,138] = -1.58482814504483
struct[0].Gy_ini[129,139] = -7.89461337514770
struct[0].Gy_ini[129,140] = -0.679918453285310
struct[0].Gy_ini[129,141] = -7.72144347466701
struct[0].Gy_ini[129,142] = -1.58482814504483
struct[0].Gy_ini[129,143] = -7.89461337514771
struct[0].Gy_ini[130,120] = -7.89461337514771
struct[0].Gy_ini[130,121] = 1.58482814504483
struct[0].Gy_ini[130,122] = 26.5300693004806
struct[0].Gy_ini[130,123] = 4.84676915585801
struct[0].Gy_ini[130,124] = -7.89461337514771
struct[0].Gy_ini[130,125] = 1.58482814504483
struct[0].Gy_ini[130,126] = -7.72144347466701
struct[0].Gy_ini[130,127] = 0.679918453285308
struct[0].Gy_ini[130,128] = 15.7892267502954
struct[0].Gy_ini[130,129] = -3.16965629008966
struct[0].Gy_ini[130,130] = -53.0601386009611
struct[0].Gy_ini[130,131] = -9.69353831171602
struct[0].Gy_ini[130,132] = 15.7892267502954
struct[0].Gy_ini[130,133] = -3.16965629008967
struct[0].Gy_ini[130,134] = 15.4428869493340
struct[0].Gy_ini[130,135] = -1.35983690657062
struct[0].Gy_ini[130,136] = -7.89461337514771
struct[0].Gy_ini[130,137] = 1.58482814504483
struct[0].Gy_ini[130,138] = 26.5300693004806
struct[0].Gy_ini[130,139] = 4.84676915585801
struct[0].Gy_ini[130,140] = -7.89461337514771
struct[0].Gy_ini[130,141] = 1.58482814504483
struct[0].Gy_ini[130,142] = -7.72144347466701
struct[0].Gy_ini[130,143] = 0.679918453285308
struct[0].Gy_ini[131,120] = -1.58482814504483
struct[0].Gy_ini[131,121] = -7.89461337514771
struct[0].Gy_ini[131,122] = -4.84676915585801
struct[0].Gy_ini[131,123] = 26.5300693004806
struct[0].Gy_ini[131,124] = -1.58482814504483
struct[0].Gy_ini[131,125] = -7.89461337514771
struct[0].Gy_ini[131,126] = -0.679918453285308
struct[0].Gy_ini[131,127] = -7.72144347466701
struct[0].Gy_ini[131,128] = 3.16965629008966
struct[0].Gy_ini[131,129] = 15.7892267502954
struct[0].Gy_ini[131,130] = 9.69353831171602
struct[0].Gy_ini[131,131] = -53.0601386009611
struct[0].Gy_ini[131,132] = 3.16965629008967
struct[0].Gy_ini[131,133] = 15.7892267502954
struct[0].Gy_ini[131,134] = 1.35983690657062
struct[0].Gy_ini[131,135] = 15.4428869493340
struct[0].Gy_ini[131,136] = -1.58482814504483
struct[0].Gy_ini[131,137] = -7.89461337514771
struct[0].Gy_ini[131,138] = -4.84676915585801
struct[0].Gy_ini[131,139] = 26.5300693004806
struct[0].Gy_ini[131,140] = -1.58482814504483
struct[0].Gy_ini[131,141] = -7.89461337514771
struct[0].Gy_ini[131,142] = -0.679918453285308
struct[0].Gy_ini[131,143] = -7.72144347466701
struct[0].Gy_ini[132,120] = -7.72144347466701
struct[0].Gy_ini[132,121] = 0.679918453285310
struct[0].Gy_ini[132,122] = -7.89461337514770
struct[0].Gy_ini[132,123] = 1.58482814504483
struct[0].Gy_ini[132,124] = 26.5300693004806
struct[0].Gy_ini[132,125] = 4.84676915585801
struct[0].Gy_ini[132,126] = -7.89461337514771
struct[0].Gy_ini[132,127] = 1.58482814504483
struct[0].Gy_ini[132,128] = 15.4428869493340
struct[0].Gy_ini[132,129] = -1.35983690657062
struct[0].Gy_ini[132,130] = 15.7892267502954
struct[0].Gy_ini[132,131] = -3.16965629008966
struct[0].Gy_ini[132,132] = -53.0601386009611
struct[0].Gy_ini[132,133] = -9.69353831171602
struct[0].Gy_ini[132,134] = 15.7892267502954
struct[0].Gy_ini[132,135] = -3.16965629008967
struct[0].Gy_ini[132,136] = -7.72144347466701
struct[0].Gy_ini[132,137] = 0.679918453285310
struct[0].Gy_ini[132,138] = -7.89461337514770
struct[0].Gy_ini[132,139] = 1.58482814504483
struct[0].Gy_ini[132,140] = 26.5300693004806
struct[0].Gy_ini[132,141] = 4.84676915585801
struct[0].Gy_ini[132,142] = -7.89461337514771
struct[0].Gy_ini[132,143] = 1.58482814504483
struct[0].Gy_ini[133,120] = -0.679918453285310
struct[0].Gy_ini[133,121] = -7.72144347466701
struct[0].Gy_ini[133,122] = -1.58482814504483
struct[0].Gy_ini[133,123] = -7.89461337514770
struct[0].Gy_ini[133,124] = -4.84676915585801
struct[0].Gy_ini[133,125] = 26.5300693004806
struct[0].Gy_ini[133,126] = -1.58482814504483
struct[0].Gy_ini[133,127] = -7.89461337514771
struct[0].Gy_ini[133,128] = 1.35983690657062
struct[0].Gy_ini[133,129] = 15.4428869493340
struct[0].Gy_ini[133,130] = 3.16965629008966
struct[0].Gy_ini[133,131] = 15.7892267502954
struct[0].Gy_ini[133,132] = 9.69353831171602
struct[0].Gy_ini[133,133] = -53.0601386009611
struct[0].Gy_ini[133,134] = 3.16965629008967
struct[0].Gy_ini[133,135] = 15.7892267502954
struct[0].Gy_ini[133,136] = -0.679918453285310
struct[0].Gy_ini[133,137] = -7.72144347466701
struct[0].Gy_ini[133,138] = -1.58482814504483
struct[0].Gy_ini[133,139] = -7.89461337514770
struct[0].Gy_ini[133,140] = -4.84676915585801
struct[0].Gy_ini[133,141] = 26.5300693004806
struct[0].Gy_ini[133,142] = -1.58482814504483
struct[0].Gy_ini[133,143] = -7.89461337514771
struct[0].Gy_ini[134,120] = -7.89461337514771
struct[0].Gy_ini[134,121] = 1.58482814504483
struct[0].Gy_ini[134,122] = -7.72144347466701
struct[0].Gy_ini[134,123] = 0.679918453285308
struct[0].Gy_ini[134,124] = -7.89461337514771
struct[0].Gy_ini[134,125] = 1.58482814504483
struct[0].Gy_ini[134,126] = 26.5300693004806
struct[0].Gy_ini[134,127] = 4.84676915585801
struct[0].Gy_ini[134,128] = 15.7892267502954
struct[0].Gy_ini[134,129] = -3.16965629008966
struct[0].Gy_ini[134,130] = 15.4428869493340
struct[0].Gy_ini[134,131] = -1.35983690657062
struct[0].Gy_ini[134,132] = 15.7892267502954
struct[0].Gy_ini[134,133] = -3.16965629008966
struct[0].Gy_ini[134,134] = -53.0851386009611
struct[0].Gy_ini[134,135] = -9.69353831171602
struct[0].Gy_ini[134,136] = -7.89461337514771
struct[0].Gy_ini[134,137] = 1.58482814504483
struct[0].Gy_ini[134,138] = -7.72144347466701
struct[0].Gy_ini[134,139] = 0.679918453285308
struct[0].Gy_ini[134,140] = -7.89461337514771
struct[0].Gy_ini[134,141] = 1.58482814504483
struct[0].Gy_ini[134,142] = 26.5300693004806
struct[0].Gy_ini[134,143] = 4.84676915585801
struct[0].Gy_ini[135,120] = -1.58482814504483
struct[0].Gy_ini[135,121] = -7.89461337514771
struct[0].Gy_ini[135,122] = -0.679918453285308
struct[0].Gy_ini[135,123] = -7.72144347466701
struct[0].Gy_ini[135,124] = -1.58482814504483
struct[0].Gy_ini[135,125] = -7.89461337514771
struct[0].Gy_ini[135,126] = -4.84676915585801
struct[0].Gy_ini[135,127] = 26.5300693004806
struct[0].Gy_ini[135,128] = 3.16965629008966
struct[0].Gy_ini[135,129] = 15.7892267502954
struct[0].Gy_ini[135,130] = 1.35983690657062
struct[0].Gy_ini[135,131] = 15.4428869493340
struct[0].Gy_ini[135,132] = 3.16965629008966
struct[0].Gy_ini[135,133] = 15.7892267502954
struct[0].Gy_ini[135,134] = 9.69353831171602
struct[0].Gy_ini[135,135] = -53.0851386009611
struct[0].Gy_ini[135,136] = -1.58482814504483
struct[0].Gy_ini[135,137] = -7.89461337514771
struct[0].Gy_ini[135,138] = -0.679918453285308
struct[0].Gy_ini[135,139] = -7.72144347466701
struct[0].Gy_ini[135,140] = -1.58482814504483
struct[0].Gy_ini[135,141] = -7.89461337514771
struct[0].Gy_ini[135,142] = -4.84676915585801
struct[0].Gy_ini[135,143] = 26.5300693004806
struct[0].Gy_ini[136,16] = 26.5300693004806
struct[0].Gy_ini[136,17] = 4.84676915585801
struct[0].Gy_ini[136,18] = -7.89461337514770
struct[0].Gy_ini[136,19] = 1.58482814504483
struct[0].Gy_ini[136,20] = -7.72144347466701
struct[0].Gy_ini[136,21] = 0.679918453285310
struct[0].Gy_ini[136,22] = -7.89461337514771
struct[0].Gy_ini[136,23] = 1.58482814504483
struct[0].Gy_ini[136,128] = 26.5300693004806
struct[0].Gy_ini[136,129] = 4.84676915585801
struct[0].Gy_ini[136,130] = -7.89461337514770
struct[0].Gy_ini[136,131] = 1.58482814504483
struct[0].Gy_ini[136,132] = -7.72144347466701
struct[0].Gy_ini[136,133] = 0.679918453285310
struct[0].Gy_ini[136,134] = -7.89461337514771
struct[0].Gy_ini[136,135] = 1.58482814504483
struct[0].Gy_ini[136,136] = -53.0601386009611
struct[0].Gy_ini[136,137] = -9.69353831171601
struct[0].Gy_ini[136,138] = 15.7892267502954
struct[0].Gy_ini[136,139] = -3.16965629008966
struct[0].Gy_ini[136,140] = 15.4428869493340
struct[0].Gy_ini[136,141] = -1.35983690657062
struct[0].Gy_ini[136,142] = 15.7892267502954
struct[0].Gy_ini[136,143] = -3.16965629008966
struct[0].Gy_ini[137,16] = -4.84676915585801
struct[0].Gy_ini[137,17] = 26.5300693004806
struct[0].Gy_ini[137,18] = -1.58482814504483
struct[0].Gy_ini[137,19] = -7.89461337514770
struct[0].Gy_ini[137,20] = -0.679918453285310
struct[0].Gy_ini[137,21] = -7.72144347466701
struct[0].Gy_ini[137,22] = -1.58482814504483
struct[0].Gy_ini[137,23] = -7.89461337514771
struct[0].Gy_ini[137,128] = -4.84676915585801
struct[0].Gy_ini[137,129] = 26.5300693004806
struct[0].Gy_ini[137,130] = -1.58482814504483
struct[0].Gy_ini[137,131] = -7.89461337514770
struct[0].Gy_ini[137,132] = -0.679918453285310
struct[0].Gy_ini[137,133] = -7.72144347466701
struct[0].Gy_ini[137,134] = -1.58482814504483
struct[0].Gy_ini[137,135] = -7.89461337514771
struct[0].Gy_ini[137,136] = 9.69353831171601
struct[0].Gy_ini[137,137] = -53.0601386009611
struct[0].Gy_ini[137,138] = 3.16965629008966
struct[0].Gy_ini[137,139] = 15.7892267502954
struct[0].Gy_ini[137,140] = 1.35983690657062
struct[0].Gy_ini[137,141] = 15.4428869493340
struct[0].Gy_ini[137,142] = 3.16965629008966
struct[0].Gy_ini[137,143] = 15.7892267502954
struct[0].Gy_ini[138,16] = -7.89461337514771
struct[0].Gy_ini[138,17] = 1.58482814504483
struct[0].Gy_ini[138,18] = 26.5300693004806
struct[0].Gy_ini[138,19] = 4.84676915585801
struct[0].Gy_ini[138,20] = -7.89461337514771
struct[0].Gy_ini[138,21] = 1.58482814504483
struct[0].Gy_ini[138,22] = -7.72144347466701
struct[0].Gy_ini[138,23] = 0.679918453285308
struct[0].Gy_ini[138,128] = -7.89461337514771
struct[0].Gy_ini[138,129] = 1.58482814504483
struct[0].Gy_ini[138,130] = 26.5300693004806
struct[0].Gy_ini[138,131] = 4.84676915585801
struct[0].Gy_ini[138,132] = -7.89461337514771
struct[0].Gy_ini[138,133] = 1.58482814504483
struct[0].Gy_ini[138,134] = -7.72144347466701
struct[0].Gy_ini[138,135] = 0.679918453285308
struct[0].Gy_ini[138,136] = 15.7892267502954
struct[0].Gy_ini[138,137] = -3.16965629008966
struct[0].Gy_ini[138,138] = -53.0601386009611
struct[0].Gy_ini[138,139] = -9.69353831171602
struct[0].Gy_ini[138,140] = 15.7892267502954
struct[0].Gy_ini[138,141] = -3.16965629008967
struct[0].Gy_ini[138,142] = 15.4428869493340
struct[0].Gy_ini[138,143] = -1.35983690657062
struct[0].Gy_ini[139,16] = -1.58482814504483
struct[0].Gy_ini[139,17] = -7.89461337514771
struct[0].Gy_ini[139,18] = -4.84676915585801
struct[0].Gy_ini[139,19] = 26.5300693004806
struct[0].Gy_ini[139,20] = -1.58482814504483
struct[0].Gy_ini[139,21] = -7.89461337514771
struct[0].Gy_ini[139,22] = -0.679918453285308
struct[0].Gy_ini[139,23] = -7.72144347466701
struct[0].Gy_ini[139,128] = -1.58482814504483
struct[0].Gy_ini[139,129] = -7.89461337514771
struct[0].Gy_ini[139,130] = -4.84676915585801
struct[0].Gy_ini[139,131] = 26.5300693004806
struct[0].Gy_ini[139,132] = -1.58482814504483
struct[0].Gy_ini[139,133] = -7.89461337514771
struct[0].Gy_ini[139,134] = -0.679918453285308
struct[0].Gy_ini[139,135] = -7.72144347466701
struct[0].Gy_ini[139,136] = 3.16965629008966
struct[0].Gy_ini[139,137] = 15.7892267502954
struct[0].Gy_ini[139,138] = 9.69353831171602
struct[0].Gy_ini[139,139] = -53.0601386009611
struct[0].Gy_ini[139,140] = 3.16965629008967
struct[0].Gy_ini[139,141] = 15.7892267502954
struct[0].Gy_ini[139,142] = 1.35983690657062
struct[0].Gy_ini[139,143] = 15.4428869493340
struct[0].Gy_ini[140,16] = -7.72144347466701
struct[0].Gy_ini[140,17] = 0.679918453285310
struct[0].Gy_ini[140,18] = -7.89461337514770
struct[0].Gy_ini[140,19] = 1.58482814504483
struct[0].Gy_ini[140,20] = 26.5300693004806
struct[0].Gy_ini[140,21] = 4.84676915585801
struct[0].Gy_ini[140,22] = -7.89461337514771
struct[0].Gy_ini[140,23] = 1.58482814504483
struct[0].Gy_ini[140,128] = -7.72144347466701
struct[0].Gy_ini[140,129] = 0.679918453285310
struct[0].Gy_ini[140,130] = -7.89461337514770
struct[0].Gy_ini[140,131] = 1.58482814504483
struct[0].Gy_ini[140,132] = 26.5300693004806
struct[0].Gy_ini[140,133] = 4.84676915585801
struct[0].Gy_ini[140,134] = -7.89461337514771
struct[0].Gy_ini[140,135] = 1.58482814504483
struct[0].Gy_ini[140,136] = 15.4428869493340
struct[0].Gy_ini[140,137] = -1.35983690657062
struct[0].Gy_ini[140,138] = 15.7892267502954
struct[0].Gy_ini[140,139] = -3.16965629008966
struct[0].Gy_ini[140,140] = -53.0601386009611
struct[0].Gy_ini[140,141] = -9.69353831171602
struct[0].Gy_ini[140,142] = 15.7892267502954
struct[0].Gy_ini[140,143] = -3.16965629008967
struct[0].Gy_ini[141,16] = -0.679918453285310
struct[0].Gy_ini[141,17] = -7.72144347466701
struct[0].Gy_ini[141,18] = -1.58482814504483
struct[0].Gy_ini[141,19] = -7.89461337514770
struct[0].Gy_ini[141,20] = -4.84676915585801
struct[0].Gy_ini[141,21] = 26.5300693004806
struct[0].Gy_ini[141,22] = -1.58482814504483
struct[0].Gy_ini[141,23] = -7.89461337514771
struct[0].Gy_ini[141,128] = -0.679918453285310
struct[0].Gy_ini[141,129] = -7.72144347466701
struct[0].Gy_ini[141,130] = -1.58482814504483
struct[0].Gy_ini[141,131] = -7.89461337514770
struct[0].Gy_ini[141,132] = -4.84676915585801
struct[0].Gy_ini[141,133] = 26.5300693004806
struct[0].Gy_ini[141,134] = -1.58482814504483
struct[0].Gy_ini[141,135] = -7.89461337514771
struct[0].Gy_ini[141,136] = 1.35983690657062
struct[0].Gy_ini[141,137] = 15.4428869493340
struct[0].Gy_ini[141,138] = 3.16965629008966
struct[0].Gy_ini[141,139] = 15.7892267502954
struct[0].Gy_ini[141,140] = 9.69353831171602
struct[0].Gy_ini[141,141] = -53.0601386009611
struct[0].Gy_ini[141,142] = 3.16965629008967
struct[0].Gy_ini[141,143] = 15.7892267502954
struct[0].Gy_ini[142,16] = -7.89461337514771
struct[0].Gy_ini[142,17] = 1.58482814504483
struct[0].Gy_ini[142,18] = -7.72144347466701
struct[0].Gy_ini[142,19] = 0.679918453285308
struct[0].Gy_ini[142,20] = -7.89461337514771
struct[0].Gy_ini[142,21] = 1.58482814504483
struct[0].Gy_ini[142,22] = 26.5300693004806
struct[0].Gy_ini[142,23] = 4.84676915585801
struct[0].Gy_ini[142,128] = -7.89461337514771
struct[0].Gy_ini[142,129] = 1.58482814504483
struct[0].Gy_ini[142,130] = -7.72144347466701
struct[0].Gy_ini[142,131] = 0.679918453285308
struct[0].Gy_ini[142,132] = -7.89461337514771
struct[0].Gy_ini[142,133] = 1.58482814504483
struct[0].Gy_ini[142,134] = 26.5300693004806
struct[0].Gy_ini[142,135] = 4.84676915585801
struct[0].Gy_ini[142,136] = 15.7892267502954
struct[0].Gy_ini[142,137] = -3.16965629008966
struct[0].Gy_ini[142,138] = 15.4428869493340
struct[0].Gy_ini[142,139] = -1.35983690657062
struct[0].Gy_ini[142,140] = 15.7892267502954
struct[0].Gy_ini[142,141] = -3.16965629008966
struct[0].Gy_ini[142,142] = -53.0601386009611
struct[0].Gy_ini[142,143] = -9.69353831171602
struct[0].Gy_ini[143,16] = -1.58482814504483
struct[0].Gy_ini[143,17] = -7.89461337514771
struct[0].Gy_ini[143,18] = -0.679918453285308
struct[0].Gy_ini[143,19] = -7.72144347466701
struct[0].Gy_ini[143,20] = -1.58482814504483
struct[0].Gy_ini[143,21] = -7.89461337514771
struct[0].Gy_ini[143,22] = -4.84676915585801
struct[0].Gy_ini[143,23] = 26.5300693004806
struct[0].Gy_ini[143,128] = -1.58482814504483
struct[0].Gy_ini[143,129] = -7.89461337514771
struct[0].Gy_ini[143,130] = -0.679918453285308
struct[0].Gy_ini[143,131] = -7.72144347466701
struct[0].Gy_ini[143,132] = -1.58482814504483
struct[0].Gy_ini[143,133] = -7.89461337514771
struct[0].Gy_ini[143,134] = -4.84676915585801
struct[0].Gy_ini[143,135] = 26.5300693004806
struct[0].Gy_ini[143,136] = 3.16965629008966
struct[0].Gy_ini[143,137] = 15.7892267502954
struct[0].Gy_ini[143,138] = 1.35983690657062
struct[0].Gy_ini[143,139] = 15.4428869493340
struct[0].Gy_ini[143,140] = 3.16965629008966
struct[0].Gy_ini[143,141] = 15.7892267502954
struct[0].Gy_ini[143,142] = 9.69353831171602
struct[0].Gy_ini[143,143] = -53.0601386009611
struct[0].Gy_ini[144,0] = i_R1_a_r
struct[0].Gy_ini[144,1] = i_R1_a_i
struct[0].Gy_ini[144,6] = -i_R1_a_r
struct[0].Gy_ini[144,7] = -i_R1_a_i
struct[0].Gy_ini[144,144] = v_R1_a_r - v_R1_n_r
struct[0].Gy_ini[144,145] = v_R1_a_i - v_R1_n_i
struct[0].Gy_ini[145,2] = i_R1_b_r
struct[0].Gy_ini[145,3] = i_R1_b_i
struct[0].Gy_ini[145,6] = -i_R1_b_r
struct[0].Gy_ini[145,7] = -i_R1_b_i
struct[0].Gy_ini[145,146] = v_R1_b_r - v_R1_n_r
struct[0].Gy_ini[145,147] = v_R1_b_i - v_R1_n_i
struct[0].Gy_ini[146,4] = i_R1_c_r
struct[0].Gy_ini[146,5] = i_R1_c_i
struct[0].Gy_ini[146,6] = -i_R1_c_r
struct[0].Gy_ini[146,7] = -i_R1_c_i
struct[0].Gy_ini[146,148] = v_R1_c_r - v_R1_n_r
struct[0].Gy_ini[146,149] = v_R1_c_i - v_R1_n_i
struct[0].Gy_ini[147,0] = -i_R1_a_i
struct[0].Gy_ini[147,1] = i_R1_a_r
struct[0].Gy_ini[147,6] = i_R1_a_i
struct[0].Gy_ini[147,7] = -i_R1_a_r
struct[0].Gy_ini[147,144] = v_R1_a_i - v_R1_n_i
struct[0].Gy_ini[147,145] = -v_R1_a_r + v_R1_n_r
struct[0].Gy_ini[148,2] = -i_R1_b_i
struct[0].Gy_ini[148,3] = i_R1_b_r
struct[0].Gy_ini[148,6] = i_R1_b_i
struct[0].Gy_ini[148,7] = -i_R1_b_r
struct[0].Gy_ini[148,146] = v_R1_b_i - v_R1_n_i
struct[0].Gy_ini[148,147] = -v_R1_b_r + v_R1_n_r
struct[0].Gy_ini[149,4] = -i_R1_c_i
struct[0].Gy_ini[149,5] = i_R1_c_r
struct[0].Gy_ini[149,6] = i_R1_c_i
struct[0].Gy_ini[149,7] = -i_R1_c_r
struct[0].Gy_ini[149,148] = v_R1_c_i - v_R1_n_i
struct[0].Gy_ini[149,149] = -v_R1_c_r + v_R1_n_r
struct[0].Gy_ini[150,144] = 1
struct[0].Gy_ini[150,146] = 1
struct[0].Gy_ini[150,148] = 1
struct[0].Gy_ini[150,150] = 1
struct[0].Gy_ini[151,145] = 1
struct[0].Gy_ini[151,147] = 1
struct[0].Gy_ini[151,149] = 1
struct[0].Gy_ini[151,151] = 1
struct[0].Gy_ini[152,8] = i_R11_a_r
struct[0].Gy_ini[152,9] = i_R11_a_i
struct[0].Gy_ini[152,14] = -i_R11_a_r
struct[0].Gy_ini[152,15] = -i_R11_a_i
struct[0].Gy_ini[152,152] = v_R11_a_r - v_R11_n_r
struct[0].Gy_ini[152,153] = v_R11_a_i - v_R11_n_i
struct[0].Gy_ini[153,10] = i_R11_b_r
struct[0].Gy_ini[153,11] = i_R11_b_i
struct[0].Gy_ini[153,14] = -i_R11_b_r
struct[0].Gy_ini[153,15] = -i_R11_b_i
struct[0].Gy_ini[153,154] = v_R11_b_r - v_R11_n_r
struct[0].Gy_ini[153,155] = v_R11_b_i - v_R11_n_i
struct[0].Gy_ini[154,12] = i_R11_c_r
struct[0].Gy_ini[154,13] = i_R11_c_i
struct[0].Gy_ini[154,14] = -i_R11_c_r
struct[0].Gy_ini[154,15] = -i_R11_c_i
struct[0].Gy_ini[154,156] = v_R11_c_r - v_R11_n_r
struct[0].Gy_ini[154,157] = v_R11_c_i - v_R11_n_i
struct[0].Gy_ini[155,8] = -i_R11_a_i
struct[0].Gy_ini[155,9] = i_R11_a_r
struct[0].Gy_ini[155,14] = i_R11_a_i
struct[0].Gy_ini[155,15] = -i_R11_a_r
struct[0].Gy_ini[155,152] = v_R11_a_i - v_R11_n_i
struct[0].Gy_ini[155,153] = -v_R11_a_r + v_R11_n_r
struct[0].Gy_ini[156,10] = -i_R11_b_i
struct[0].Gy_ini[156,11] = i_R11_b_r
struct[0].Gy_ini[156,14] = i_R11_b_i
struct[0].Gy_ini[156,15] = -i_R11_b_r
struct[0].Gy_ini[156,154] = v_R11_b_i - v_R11_n_i
struct[0].Gy_ini[156,155] = -v_R11_b_r + v_R11_n_r
struct[0].Gy_ini[157,12] = -i_R11_c_i
struct[0].Gy_ini[157,13] = i_R11_c_r
struct[0].Gy_ini[157,14] = i_R11_c_i
struct[0].Gy_ini[157,15] = -i_R11_c_r
struct[0].Gy_ini[157,156] = v_R11_c_i - v_R11_n_i
struct[0].Gy_ini[157,157] = -v_R11_c_r + v_R11_n_r
struct[0].Gy_ini[158,152] = 1
struct[0].Gy_ini[158,154] = 1
struct[0].Gy_ini[158,156] = 1
struct[0].Gy_ini[158,158] = 1
struct[0].Gy_ini[159,153] = 1
struct[0].Gy_ini[159,155] = 1
struct[0].Gy_ini[159,157] = 1
struct[0].Gy_ini[159,159] = 1
struct[0].Gy_ini[160,16] = i_R15_a_r
struct[0].Gy_ini[160,17] = i_R15_a_i
struct[0].Gy_ini[160,22] = -i_R15_a_r
struct[0].Gy_ini[160,23] = -i_R15_a_i
struct[0].Gy_ini[160,160] = v_R15_a_r - v_R15_n_r
struct[0].Gy_ini[160,161] = v_R15_a_i - v_R15_n_i
struct[0].Gy_ini[161,18] = i_R15_b_r
struct[0].Gy_ini[161,19] = i_R15_b_i
struct[0].Gy_ini[161,22] = -i_R15_b_r
struct[0].Gy_ini[161,23] = -i_R15_b_i
struct[0].Gy_ini[161,162] = v_R15_b_r - v_R15_n_r
struct[0].Gy_ini[161,163] = v_R15_b_i - v_R15_n_i
struct[0].Gy_ini[162,20] = i_R15_c_r
struct[0].Gy_ini[162,21] = i_R15_c_i
struct[0].Gy_ini[162,22] = -i_R15_c_r
struct[0].Gy_ini[162,23] = -i_R15_c_i
struct[0].Gy_ini[162,164] = v_R15_c_r - v_R15_n_r
struct[0].Gy_ini[162,165] = v_R15_c_i - v_R15_n_i
struct[0].Gy_ini[163,16] = -i_R15_a_i
struct[0].Gy_ini[163,17] = i_R15_a_r
struct[0].Gy_ini[163,22] = i_R15_a_i
struct[0].Gy_ini[163,23] = -i_R15_a_r
struct[0].Gy_ini[163,160] = v_R15_a_i - v_R15_n_i
struct[0].Gy_ini[163,161] = -v_R15_a_r + v_R15_n_r
struct[0].Gy_ini[164,18] = -i_R15_b_i
struct[0].Gy_ini[164,19] = i_R15_b_r
struct[0].Gy_ini[164,22] = i_R15_b_i
struct[0].Gy_ini[164,23] = -i_R15_b_r
struct[0].Gy_ini[164,162] = v_R15_b_i - v_R15_n_i
struct[0].Gy_ini[164,163] = -v_R15_b_r + v_R15_n_r
struct[0].Gy_ini[165,20] = -i_R15_c_i
struct[0].Gy_ini[165,21] = i_R15_c_r
struct[0].Gy_ini[165,22] = i_R15_c_i
struct[0].Gy_ini[165,23] = -i_R15_c_r
struct[0].Gy_ini[165,164] = v_R15_c_i - v_R15_n_i
struct[0].Gy_ini[165,165] = -v_R15_c_r + v_R15_n_r
struct[0].Gy_ini[166,160] = 1
struct[0].Gy_ini[166,162] = 1
struct[0].Gy_ini[166,164] = 1
struct[0].Gy_ini[166,166] = 1
struct[0].Gy_ini[167,161] = 1
struct[0].Gy_ini[167,163] = 1
struct[0].Gy_ini[167,165] = 1
struct[0].Gy_ini[167,167] = 1
struct[0].Gy_ini[168,24] = i_R16_a_r
struct[0].Gy_ini[168,25] = i_R16_a_i
struct[0].Gy_ini[168,30] = -i_R16_a_r
struct[0].Gy_ini[168,31] = -i_R16_a_i
struct[0].Gy_ini[168,168] = v_R16_a_r - v_R16_n_r
struct[0].Gy_ini[168,169] = v_R16_a_i - v_R16_n_i
struct[0].Gy_ini[169,26] = i_R16_b_r
struct[0].Gy_ini[169,27] = i_R16_b_i
struct[0].Gy_ini[169,30] = -i_R16_b_r
struct[0].Gy_ini[169,31] = -i_R16_b_i
struct[0].Gy_ini[169,170] = v_R16_b_r - v_R16_n_r
struct[0].Gy_ini[169,171] = v_R16_b_i - v_R16_n_i
struct[0].Gy_ini[170,28] = i_R16_c_r
struct[0].Gy_ini[170,29] = i_R16_c_i
struct[0].Gy_ini[170,30] = -i_R16_c_r
struct[0].Gy_ini[170,31] = -i_R16_c_i
struct[0].Gy_ini[170,172] = v_R16_c_r - v_R16_n_r
struct[0].Gy_ini[170,173] = v_R16_c_i - v_R16_n_i
struct[0].Gy_ini[171,24] = -i_R16_a_i
struct[0].Gy_ini[171,25] = i_R16_a_r
struct[0].Gy_ini[171,30] = i_R16_a_i
struct[0].Gy_ini[171,31] = -i_R16_a_r
struct[0].Gy_ini[171,168] = v_R16_a_i - v_R16_n_i
struct[0].Gy_ini[171,169] = -v_R16_a_r + v_R16_n_r
struct[0].Gy_ini[172,26] = -i_R16_b_i
struct[0].Gy_ini[172,27] = i_R16_b_r
struct[0].Gy_ini[172,30] = i_R16_b_i
struct[0].Gy_ini[172,31] = -i_R16_b_r
struct[0].Gy_ini[172,170] = v_R16_b_i - v_R16_n_i
struct[0].Gy_ini[172,171] = -v_R16_b_r + v_R16_n_r
struct[0].Gy_ini[173,28] = -i_R16_c_i
struct[0].Gy_ini[173,29] = i_R16_c_r
struct[0].Gy_ini[173,30] = i_R16_c_i
struct[0].Gy_ini[173,31] = -i_R16_c_r
struct[0].Gy_ini[173,172] = v_R16_c_i - v_R16_n_i
struct[0].Gy_ini[173,173] = -v_R16_c_r + v_R16_n_r
struct[0].Gy_ini[174,168] = 1
struct[0].Gy_ini[174,170] = 1
struct[0].Gy_ini[174,172] = 1
struct[0].Gy_ini[174,174] = 1
struct[0].Gy_ini[175,169] = 1
struct[0].Gy_ini[175,171] = 1
struct[0].Gy_ini[175,173] = 1
struct[0].Gy_ini[175,175] = 1
struct[0].Gy_ini[176,32] = i_R17_a_r
struct[0].Gy_ini[176,33] = i_R17_a_i
struct[0].Gy_ini[176,38] = -i_R17_a_r
struct[0].Gy_ini[176,39] = -i_R17_a_i
struct[0].Gy_ini[176,176] = v_R17_a_r - v_R17_n_r
struct[0].Gy_ini[176,177] = v_R17_a_i - v_R17_n_i
struct[0].Gy_ini[177,34] = i_R17_b_r
struct[0].Gy_ini[177,35] = i_R17_b_i
struct[0].Gy_ini[177,38] = -i_R17_b_r
struct[0].Gy_ini[177,39] = -i_R17_b_i
struct[0].Gy_ini[177,178] = v_R17_b_r - v_R17_n_r
struct[0].Gy_ini[177,179] = v_R17_b_i - v_R17_n_i
struct[0].Gy_ini[178,36] = i_R17_c_r
struct[0].Gy_ini[178,37] = i_R17_c_i
struct[0].Gy_ini[178,38] = -i_R17_c_r
struct[0].Gy_ini[178,39] = -i_R17_c_i
struct[0].Gy_ini[178,180] = v_R17_c_r - v_R17_n_r
struct[0].Gy_ini[178,181] = v_R17_c_i - v_R17_n_i
struct[0].Gy_ini[179,32] = -i_R17_a_i
struct[0].Gy_ini[179,33] = i_R17_a_r
struct[0].Gy_ini[179,38] = i_R17_a_i
struct[0].Gy_ini[179,39] = -i_R17_a_r
struct[0].Gy_ini[179,176] = v_R17_a_i - v_R17_n_i
struct[0].Gy_ini[179,177] = -v_R17_a_r + v_R17_n_r
struct[0].Gy_ini[180,34] = -i_R17_b_i
struct[0].Gy_ini[180,35] = i_R17_b_r
struct[0].Gy_ini[180,38] = i_R17_b_i
struct[0].Gy_ini[180,39] = -i_R17_b_r
struct[0].Gy_ini[180,178] = v_R17_b_i - v_R17_n_i
struct[0].Gy_ini[180,179] = -v_R17_b_r + v_R17_n_r
struct[0].Gy_ini[181,36] = -i_R17_c_i
struct[0].Gy_ini[181,37] = i_R17_c_r
struct[0].Gy_ini[181,38] = i_R17_c_i
struct[0].Gy_ini[181,39] = -i_R17_c_r
struct[0].Gy_ini[181,180] = v_R17_c_i - v_R17_n_i
struct[0].Gy_ini[181,181] = -v_R17_c_r + v_R17_n_r
struct[0].Gy_ini[182,176] = 1
struct[0].Gy_ini[182,178] = 1
struct[0].Gy_ini[182,180] = 1
struct[0].Gy_ini[182,182] = 1
struct[0].Gy_ini[183,177] = 1
struct[0].Gy_ini[183,179] = 1
struct[0].Gy_ini[183,181] = 1
struct[0].Gy_ini[183,183] = 1
struct[0].Gy_ini[184,40] = i_R18_a_r
struct[0].Gy_ini[184,41] = i_R18_a_i
struct[0].Gy_ini[184,46] = -i_R18_a_r
struct[0].Gy_ini[184,47] = -i_R18_a_i
struct[0].Gy_ini[184,184] = v_R18_a_r - v_R18_n_r
struct[0].Gy_ini[184,185] = v_R18_a_i - v_R18_n_i
struct[0].Gy_ini[185,42] = i_R18_b_r
struct[0].Gy_ini[185,43] = i_R18_b_i
struct[0].Gy_ini[185,46] = -i_R18_b_r
struct[0].Gy_ini[185,47] = -i_R18_b_i
struct[0].Gy_ini[185,186] = v_R18_b_r - v_R18_n_r
struct[0].Gy_ini[185,187] = v_R18_b_i - v_R18_n_i
struct[0].Gy_ini[186,44] = i_R18_c_r
struct[0].Gy_ini[186,45] = i_R18_c_i
struct[0].Gy_ini[186,46] = -i_R18_c_r
struct[0].Gy_ini[186,47] = -i_R18_c_i
struct[0].Gy_ini[186,188] = v_R18_c_r - v_R18_n_r
struct[0].Gy_ini[186,189] = v_R18_c_i - v_R18_n_i
struct[0].Gy_ini[187,40] = -i_R18_a_i
struct[0].Gy_ini[187,41] = i_R18_a_r
struct[0].Gy_ini[187,46] = i_R18_a_i
struct[0].Gy_ini[187,47] = -i_R18_a_r
struct[0].Gy_ini[187,184] = v_R18_a_i - v_R18_n_i
struct[0].Gy_ini[187,185] = -v_R18_a_r + v_R18_n_r
struct[0].Gy_ini[188,42] = -i_R18_b_i
struct[0].Gy_ini[188,43] = i_R18_b_r
struct[0].Gy_ini[188,46] = i_R18_b_i
struct[0].Gy_ini[188,47] = -i_R18_b_r
struct[0].Gy_ini[188,186] = v_R18_b_i - v_R18_n_i
struct[0].Gy_ini[188,187] = -v_R18_b_r + v_R18_n_r
struct[0].Gy_ini[189,44] = -i_R18_c_i
struct[0].Gy_ini[189,45] = i_R18_c_r
struct[0].Gy_ini[189,46] = i_R18_c_i
struct[0].Gy_ini[189,47] = -i_R18_c_r
struct[0].Gy_ini[189,188] = v_R18_c_i - v_R18_n_i
struct[0].Gy_ini[189,189] = -v_R18_c_r + v_R18_n_r
struct[0].Gy_ini[190,184] = 1
struct[0].Gy_ini[190,186] = 1
struct[0].Gy_ini[190,188] = 1
struct[0].Gy_ini[190,190] = 1
struct[0].Gy_ini[191,185] = 1
struct[0].Gy_ini[191,187] = 1
struct[0].Gy_ini[191,189] = 1
struct[0].Gy_ini[191,191] = 1
def run_nn(t,struct,mode):
# Parameters:
# Inputs:
v_R0_a_r = struct[0].v_R0_a_r
v_R0_a_i = struct[0].v_R0_a_i
v_R0_b_r = struct[0].v_R0_b_r
v_R0_b_i = struct[0].v_R0_b_i
v_R0_c_r = struct[0].v_R0_c_r
v_R0_c_i = struct[0].v_R0_c_i
i_R1_n_r = struct[0].i_R1_n_r
i_R1_n_i = struct[0].i_R1_n_i
i_R11_n_r = struct[0].i_R11_n_r
i_R11_n_i = struct[0].i_R11_n_i
i_R15_n_r = struct[0].i_R15_n_r
i_R15_n_i = struct[0].i_R15_n_i
i_R16_n_r = struct[0].i_R16_n_r
i_R16_n_i = struct[0].i_R16_n_i
i_R17_n_r = struct[0].i_R17_n_r
i_R17_n_i = struct[0].i_R17_n_i
i_R18_n_r = struct[0].i_R18_n_r
i_R18_n_i = struct[0].i_R18_n_i
i_R2_a_r = struct[0].i_R2_a_r
i_R2_a_i = struct[0].i_R2_a_i
i_R2_b_r = struct[0].i_R2_b_r
i_R2_b_i = struct[0].i_R2_b_i
i_R2_c_r = struct[0].i_R2_c_r
i_R2_c_i = struct[0].i_R2_c_i
i_R2_n_r = struct[0].i_R2_n_r
i_R2_n_i = struct[0].i_R2_n_i
i_R3_a_r = struct[0].i_R3_a_r
i_R3_a_i = struct[0].i_R3_a_i
i_R3_b_r = struct[0].i_R3_b_r
i_R3_b_i = struct[0].i_R3_b_i
i_R3_c_r = struct[0].i_R3_c_r
i_R3_c_i = struct[0].i_R3_c_i
i_R3_n_r = struct[0].i_R3_n_r
i_R3_n_i = struct[0].i_R3_n_i
i_R4_a_r = struct[0].i_R4_a_r
i_R4_a_i = struct[0].i_R4_a_i
i_R4_b_r = struct[0].i_R4_b_r
i_R4_b_i = struct[0].i_R4_b_i
i_R4_c_r = struct[0].i_R4_c_r
i_R4_c_i = struct[0].i_R4_c_i
i_R4_n_r = struct[0].i_R4_n_r
i_R4_n_i = struct[0].i_R4_n_i
i_R5_a_r = struct[0].i_R5_a_r
i_R5_a_i = struct[0].i_R5_a_i
i_R5_b_r = struct[0].i_R5_b_r
i_R5_b_i = struct[0].i_R5_b_i
i_R5_c_r = struct[0].i_R5_c_r
i_R5_c_i = struct[0].i_R5_c_i
i_R5_n_r = struct[0].i_R5_n_r
i_R5_n_i = struct[0].i_R5_n_i
i_R6_a_r = struct[0].i_R6_a_r
i_R6_a_i = struct[0].i_R6_a_i
i_R6_b_r = struct[0].i_R6_b_r
i_R6_b_i = struct[0].i_R6_b_i
i_R6_c_r = struct[0].i_R6_c_r
i_R6_c_i = struct[0].i_R6_c_i
i_R6_n_r = struct[0].i_R6_n_r
i_R6_n_i = struct[0].i_R6_n_i
i_R7_a_r = struct[0].i_R7_a_r
i_R7_a_i = struct[0].i_R7_a_i
i_R7_b_r = struct[0].i_R7_b_r
i_R7_b_i = struct[0].i_R7_b_i
i_R7_c_r = struct[0].i_R7_c_r
i_R7_c_i = struct[0].i_R7_c_i
i_R7_n_r = struct[0].i_R7_n_r
i_R7_n_i = struct[0].i_R7_n_i
i_R8_a_r = struct[0].i_R8_a_r
i_R8_a_i = struct[0].i_R8_a_i
i_R8_b_r = struct[0].i_R8_b_r
i_R8_b_i = struct[0].i_R8_b_i
i_R8_c_r = struct[0].i_R8_c_r
i_R8_c_i = struct[0].i_R8_c_i
i_R8_n_r = struct[0].i_R8_n_r
i_R8_n_i = struct[0].i_R8_n_i
i_R9_a_r = struct[0].i_R9_a_r
i_R9_a_i = struct[0].i_R9_a_i
i_R9_b_r = struct[0].i_R9_b_r
i_R9_b_i = struct[0].i_R9_b_i
i_R9_c_r = struct[0].i_R9_c_r
i_R9_c_i = struct[0].i_R9_c_i
i_R9_n_r = struct[0].i_R9_n_r
i_R9_n_i = struct[0].i_R9_n_i
i_R10_a_r = struct[0].i_R10_a_r
i_R10_a_i = struct[0].i_R10_a_i
i_R10_b_r = struct[0].i_R10_b_r
i_R10_b_i = struct[0].i_R10_b_i
i_R10_c_r = struct[0].i_R10_c_r
i_R10_c_i = struct[0].i_R10_c_i
i_R10_n_r = struct[0].i_R10_n_r
i_R10_n_i = struct[0].i_R10_n_i
i_R12_a_r = struct[0].i_R12_a_r
i_R12_a_i = struct[0].i_R12_a_i
i_R12_b_r = struct[0].i_R12_b_r
i_R12_b_i = struct[0].i_R12_b_i
i_R12_c_r = struct[0].i_R12_c_r
i_R12_c_i = struct[0].i_R12_c_i
i_R12_n_r = struct[0].i_R12_n_r
i_R12_n_i = struct[0].i_R12_n_i
i_R13_a_r = struct[0].i_R13_a_r
i_R13_a_i = struct[0].i_R13_a_i
i_R13_b_r = struct[0].i_R13_b_r
i_R13_b_i = struct[0].i_R13_b_i
i_R13_c_r = struct[0].i_R13_c_r
i_R13_c_i = struct[0].i_R13_c_i
i_R13_n_r = struct[0].i_R13_n_r
i_R13_n_i = struct[0].i_R13_n_i
i_R14_a_r = struct[0].i_R14_a_r
i_R14_a_i = struct[0].i_R14_a_i
i_R14_b_r = struct[0].i_R14_b_r
i_R14_b_i = struct[0].i_R14_b_i
i_R14_c_r = struct[0].i_R14_c_r
i_R14_c_i = struct[0].i_R14_c_i
i_R14_n_r = struct[0].i_R14_n_r
i_R14_n_i = struct[0].i_R14_n_i
p_R1_a = struct[0].p_R1_a
q_R1_a = struct[0].q_R1_a
p_R1_b = struct[0].p_R1_b
q_R1_b = struct[0].q_R1_b
p_R1_c = struct[0].p_R1_c
q_R1_c = struct[0].q_R1_c
p_R11_a = struct[0].p_R11_a
q_R11_a = struct[0].q_R11_a
p_R11_b = struct[0].p_R11_b
q_R11_b = struct[0].q_R11_b
p_R11_c = struct[0].p_R11_c
q_R11_c = struct[0].q_R11_c
p_R15_a = struct[0].p_R15_a
q_R15_a = struct[0].q_R15_a
p_R15_b = struct[0].p_R15_b
q_R15_b = struct[0].q_R15_b
p_R15_c = struct[0].p_R15_c
q_R15_c = struct[0].q_R15_c
p_R16_a = struct[0].p_R16_a
q_R16_a = struct[0].q_R16_a
p_R16_b = struct[0].p_R16_b
q_R16_b = struct[0].q_R16_b
p_R16_c = struct[0].p_R16_c
q_R16_c = struct[0].q_R16_c
p_R17_a = struct[0].p_R17_a
q_R17_a = struct[0].q_R17_a
p_R17_b = struct[0].p_R17_b
q_R17_b = struct[0].q_R17_b
p_R17_c = struct[0].p_R17_c
q_R17_c = struct[0].q_R17_c
p_R18_a = struct[0].p_R18_a
q_R18_a = struct[0].q_R18_a
p_R18_b = struct[0].p_R18_b
q_R18_b = struct[0].q_R18_b
p_R18_c = struct[0].p_R18_c
q_R18_c = struct[0].q_R18_c
u_dummy = struct[0].u_dummy
# Dynamical states:
x_dummy = struct[0].x[0,0]
# Algebraic states:
v_R1_a_r = struct[0].y_run[0,0]
v_R1_a_i = struct[0].y_run[1,0]
v_R1_b_r = struct[0].y_run[2,0]
v_R1_b_i = struct[0].y_run[3,0]
v_R1_c_r = struct[0].y_run[4,0]
v_R1_c_i = struct[0].y_run[5,0]
v_R1_n_r = struct[0].y_run[6,0]
v_R1_n_i = struct[0].y_run[7,0]
v_R11_a_r = struct[0].y_run[8,0]
v_R11_a_i = struct[0].y_run[9,0]
v_R11_b_r = struct[0].y_run[10,0]
v_R11_b_i = struct[0].y_run[11,0]
v_R11_c_r = struct[0].y_run[12,0]
v_R11_c_i = struct[0].y_run[13,0]
v_R11_n_r = struct[0].y_run[14,0]
v_R11_n_i = struct[0].y_run[15,0]
v_R15_a_r = struct[0].y_run[16,0]
v_R15_a_i = struct[0].y_run[17,0]
v_R15_b_r = struct[0].y_run[18,0]
v_R15_b_i = struct[0].y_run[19,0]
v_R15_c_r = struct[0].y_run[20,0]
v_R15_c_i = struct[0].y_run[21,0]
v_R15_n_r = struct[0].y_run[22,0]
v_R15_n_i = struct[0].y_run[23,0]
v_R16_a_r = struct[0].y_run[24,0]
v_R16_a_i = struct[0].y_run[25,0]
v_R16_b_r = struct[0].y_run[26,0]
v_R16_b_i = struct[0].y_run[27,0]
v_R16_c_r = struct[0].y_run[28,0]
v_R16_c_i = struct[0].y_run[29,0]
v_R16_n_r = struct[0].y_run[30,0]
v_R16_n_i = struct[0].y_run[31,0]
v_R17_a_r = struct[0].y_run[32,0]
v_R17_a_i = struct[0].y_run[33,0]
v_R17_b_r = struct[0].y_run[34,0]
v_R17_b_i = struct[0].y_run[35,0]
v_R17_c_r = struct[0].y_run[36,0]
v_R17_c_i = struct[0].y_run[37,0]
v_R17_n_r = struct[0].y_run[38,0]
v_R17_n_i = struct[0].y_run[39,0]
v_R18_a_r = struct[0].y_run[40,0]
v_R18_a_i = struct[0].y_run[41,0]
v_R18_b_r = struct[0].y_run[42,0]
v_R18_b_i = struct[0].y_run[43,0]
v_R18_c_r = struct[0].y_run[44,0]
v_R18_c_i = struct[0].y_run[45,0]
v_R18_n_r = struct[0].y_run[46,0]
v_R18_n_i = struct[0].y_run[47,0]
v_R2_a_r = struct[0].y_run[48,0]
v_R2_a_i = struct[0].y_run[49,0]
v_R2_b_r = struct[0].y_run[50,0]
v_R2_b_i = struct[0].y_run[51,0]
v_R2_c_r = struct[0].y_run[52,0]
v_R2_c_i = struct[0].y_run[53,0]
v_R2_n_r = struct[0].y_run[54,0]
v_R2_n_i = struct[0].y_run[55,0]
v_R3_a_r = struct[0].y_run[56,0]
v_R3_a_i = struct[0].y_run[57,0]
v_R3_b_r = struct[0].y_run[58,0]
v_R3_b_i = struct[0].y_run[59,0]
v_R3_c_r = struct[0].y_run[60,0]
v_R3_c_i = struct[0].y_run[61,0]
v_R3_n_r = struct[0].y_run[62,0]
v_R3_n_i = struct[0].y_run[63,0]
v_R4_a_r = struct[0].y_run[64,0]
v_R4_a_i = struct[0].y_run[65,0]
v_R4_b_r = struct[0].y_run[66,0]
v_R4_b_i = struct[0].y_run[67,0]
v_R4_c_r = struct[0].y_run[68,0]
v_R4_c_i = struct[0].y_run[69,0]
v_R4_n_r = struct[0].y_run[70,0]
v_R4_n_i = struct[0].y_run[71,0]
v_R5_a_r = struct[0].y_run[72,0]
v_R5_a_i = struct[0].y_run[73,0]
v_R5_b_r = struct[0].y_run[74,0]
v_R5_b_i = struct[0].y_run[75,0]
v_R5_c_r = struct[0].y_run[76,0]
v_R5_c_i = struct[0].y_run[77,0]
v_R5_n_r = struct[0].y_run[78,0]
v_R5_n_i = struct[0].y_run[79,0]
v_R6_a_r = struct[0].y_run[80,0]
v_R6_a_i = struct[0].y_run[81,0]
v_R6_b_r = struct[0].y_run[82,0]
v_R6_b_i = struct[0].y_run[83,0]
v_R6_c_r = struct[0].y_run[84,0]
v_R6_c_i = struct[0].y_run[85,0]
v_R6_n_r = struct[0].y_run[86,0]
v_R6_n_i = struct[0].y_run[87,0]
v_R7_a_r = struct[0].y_run[88,0]
v_R7_a_i = struct[0].y_run[89,0]
v_R7_b_r = struct[0].y_run[90,0]
v_R7_b_i = struct[0].y_run[91,0]
v_R7_c_r = struct[0].y_run[92,0]
v_R7_c_i = struct[0].y_run[93,0]
v_R7_n_r = struct[0].y_run[94,0]
v_R7_n_i = struct[0].y_run[95,0]
v_R8_a_r = struct[0].y_run[96,0]
v_R8_a_i = struct[0].y_run[97,0]
v_R8_b_r = struct[0].y_run[98,0]
v_R8_b_i = struct[0].y_run[99,0]
v_R8_c_r = struct[0].y_run[100,0]
v_R8_c_i = struct[0].y_run[101,0]
v_R8_n_r = struct[0].y_run[102,0]
v_R8_n_i = struct[0].y_run[103,0]
v_R9_a_r = struct[0].y_run[104,0]
v_R9_a_i = struct[0].y_run[105,0]
v_R9_b_r = struct[0].y_run[106,0]
v_R9_b_i = struct[0].y_run[107,0]
v_R9_c_r = struct[0].y_run[108,0]
v_R9_c_i = struct[0].y_run[109,0]
v_R9_n_r = struct[0].y_run[110,0]
v_R9_n_i = struct[0].y_run[111,0]
v_R10_a_r = struct[0].y_run[112,0]
v_R10_a_i = struct[0].y_run[113,0]
v_R10_b_r = struct[0].y_run[114,0]
v_R10_b_i = struct[0].y_run[115,0]
v_R10_c_r = struct[0].y_run[116,0]
v_R10_c_i = struct[0].y_run[117,0]
v_R10_n_r = struct[0].y_run[118,0]
v_R10_n_i = struct[0].y_run[119,0]
v_R12_a_r = struct[0].y_run[120,0]
v_R12_a_i = struct[0].y_run[121,0]
v_R12_b_r = struct[0].y_run[122,0]
v_R12_b_i = struct[0].y_run[123,0]
v_R12_c_r = struct[0].y_run[124,0]
v_R12_c_i = struct[0].y_run[125,0]
v_R12_n_r = struct[0].y_run[126,0]
v_R12_n_i = struct[0].y_run[127,0]
v_R13_a_r = struct[0].y_run[128,0]
v_R13_a_i = struct[0].y_run[129,0]
v_R13_b_r = struct[0].y_run[130,0]
v_R13_b_i = struct[0].y_run[131,0]
v_R13_c_r = struct[0].y_run[132,0]
v_R13_c_i = struct[0].y_run[133,0]
v_R13_n_r = struct[0].y_run[134,0]
v_R13_n_i = struct[0].y_run[135,0]
v_R14_a_r = struct[0].y_run[136,0]
v_R14_a_i = struct[0].y_run[137,0]
v_R14_b_r = struct[0].y_run[138,0]
v_R14_b_i = struct[0].y_run[139,0]
v_R14_c_r = struct[0].y_run[140,0]
v_R14_c_i = struct[0].y_run[141,0]
v_R14_n_r = struct[0].y_run[142,0]
v_R14_n_i = struct[0].y_run[143,0]
i_R1_a_r = struct[0].y_run[144,0]
i_R1_a_i = struct[0].y_run[145,0]
i_R1_b_r = struct[0].y_run[146,0]
i_R1_b_i = struct[0].y_run[147,0]
i_R1_c_r = struct[0].y_run[148,0]
i_R1_c_i = struct[0].y_run[149,0]
i_R1_n_r = struct[0].y_run[150,0]
i_R1_n_i = struct[0].y_run[151,0]
i_R11_a_r = struct[0].y_run[152,0]
i_R11_a_i = struct[0].y_run[153,0]
i_R11_b_r = struct[0].y_run[154,0]
i_R11_b_i = struct[0].y_run[155,0]
i_R11_c_r = struct[0].y_run[156,0]
i_R11_c_i = struct[0].y_run[157,0]
i_R11_n_r = struct[0].y_run[158,0]
i_R11_n_i = struct[0].y_run[159,0]
i_R15_a_r = struct[0].y_run[160,0]
i_R15_a_i = struct[0].y_run[161,0]
i_R15_b_r = struct[0].y_run[162,0]
i_R15_b_i = struct[0].y_run[163,0]
i_R15_c_r = struct[0].y_run[164,0]
i_R15_c_i = struct[0].y_run[165,0]
i_R15_n_r = struct[0].y_run[166,0]
i_R15_n_i = struct[0].y_run[167,0]
i_R16_a_r = struct[0].y_run[168,0]
i_R16_a_i = struct[0].y_run[169,0]
i_R16_b_r = struct[0].y_run[170,0]
i_R16_b_i = struct[0].y_run[171,0]
i_R16_c_r = struct[0].y_run[172,0]
i_R16_c_i = struct[0].y_run[173,0]
i_R16_n_r = struct[0].y_run[174,0]
i_R16_n_i = struct[0].y_run[175,0]
i_R17_a_r = struct[0].y_run[176,0]
i_R17_a_i = struct[0].y_run[177,0]
i_R17_b_r = struct[0].y_run[178,0]
i_R17_b_i = struct[0].y_run[179,0]
i_R17_c_r = struct[0].y_run[180,0]
i_R17_c_i = struct[0].y_run[181,0]
i_R17_n_r = struct[0].y_run[182,0]
i_R17_n_i = struct[0].y_run[183,0]
i_R18_a_r = struct[0].y_run[184,0]
i_R18_a_i = struct[0].y_run[185,0]
i_R18_b_r = struct[0].y_run[186,0]
i_R18_b_i = struct[0].y_run[187,0]
i_R18_c_r = struct[0].y_run[188,0]
i_R18_c_i = struct[0].y_run[189,0]
i_R18_n_r = struct[0].y_run[190,0]
i_R18_n_i = struct[0].y_run[191,0]
# Differential equations:
if mode == 2:
struct[0].f[0,0] = u_dummy - x_dummy
# Algebraic equations:
if mode == 3:
struct[0].g[0,0] = i_R1_a_r + 0.808613822394434*v_R0_a_i + 0.202153455598608*v_R0_a_r - 0.808613822394434*v_R0_c_i - 0.202153455598608*v_R0_c_r - 120.759116772529*v_R1_a_i - 122.245105314247*v_R1_a_r + 10.2713736253513*v_R1_b_i + 39.6392229058202*v_R1_b_r + 23.284964480954*v_R1_c_i + 24.9575997948692*v_R1_c_r + 76.9647176296197*v_R1_n_i + 56.3125589068873*v_R1_n_r + 54.0657727682604*v_R2_a_i + 105.57176931318*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r - 23.284964480954*v_R2_c_i - 24.9575997948692*v_R2_c_r - 10.2713736253513*v_R2_n_i - 39.6392229058202*v_R2_n_r
struct[0].g[1,0] = i_R1_a_i + 0.202153455598608*v_R0_a_i - 0.808613822394434*v_R0_a_r - 0.202153455598608*v_R0_c_i + 0.808613822394434*v_R0_c_r - 122.245105314247*v_R1_a_i + 120.759116772529*v_R1_a_r + 39.6392229058202*v_R1_b_i - 10.2713736253513*v_R1_b_r + 24.9575997948692*v_R1_c_i - 23.284964480954*v_R1_c_r + 56.3125589068873*v_R1_n_i - 76.9647176296197*v_R1_n_r + 105.57176931318*v_R2_a_i - 54.0657727682604*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r - 24.9575997948692*v_R2_c_i + 23.284964480954*v_R2_c_r - 39.6392229058202*v_R2_n_i + 10.2713736253513*v_R2_n_r
struct[0].g[2,0] = i_R1_b_r - 0.808613822394434*v_R0_a_i - 0.202153455598608*v_R0_a_r + 0.808613822394434*v_R0_b_i + 0.202153455598608*v_R0_b_r + 10.2713736253513*v_R1_a_i + 39.6392229058202*v_R1_a_r - 120.759116772529*v_R1_b_i - 122.245105314247*v_R1_b_r + 10.2713736253513*v_R1_c_i + 39.6392229058201*v_R1_c_r + 89.9783084852224*v_R1_n_i + 41.6309357959363*v_R1_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r + 54.0657727682604*v_R2_b_i + 105.57176931318*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058201*v_R2_c_r - 23.284964480954*v_R2_n_i - 24.9575997948692*v_R2_n_r
struct[0].g[3,0] = i_R1_b_i - 0.202153455598608*v_R0_a_i + 0.808613822394434*v_R0_a_r + 0.202153455598608*v_R0_b_i - 0.808613822394434*v_R0_b_r + 39.6392229058202*v_R1_a_i - 10.2713736253513*v_R1_a_r - 122.245105314247*v_R1_b_i + 120.759116772529*v_R1_b_r + 39.6392229058201*v_R1_c_i - 10.2713736253513*v_R1_c_r + 41.6309357959363*v_R1_n_i - 89.9783084852224*v_R1_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r + 105.57176931318*v_R2_b_i - 54.0657727682604*v_R2_b_r - 39.6392229058201*v_R2_c_i + 10.2713736253513*v_R2_c_r - 24.9575997948692*v_R2_n_i + 23.284964480954*v_R2_n_r
struct[0].g[4,0] = i_R1_c_r - 0.808613822394434*v_R0_b_i - 0.202153455598608*v_R0_b_r + 0.808613822394434*v_R0_c_i + 0.202153455598608*v_R0_c_r + 23.284964480954*v_R1_a_i + 24.9575997948692*v_R1_a_r + 10.2713736253513*v_R1_b_i + 39.6392229058202*v_R1_b_r - 120.759116772529*v_R1_c_i - 122.245105314247*v_R1_c_r + 76.9647176296197*v_R1_n_i + 56.3125589068872*v_R1_n_r - 23.284964480954*v_R2_a_i - 24.9575997948692*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r + 54.0657727682604*v_R2_c_i + 105.57176931318*v_R2_c_r - 10.2713736253514*v_R2_n_i - 39.6392229058201*v_R2_n_r
struct[0].g[5,0] = i_R1_c_i - 0.202153455598608*v_R0_b_i + 0.808613822394434*v_R0_b_r + 0.202153455598608*v_R0_c_i - 0.808613822394434*v_R0_c_r + 24.9575997948692*v_R1_a_i - 23.284964480954*v_R1_a_r + 39.6392229058202*v_R1_b_i - 10.2713736253513*v_R1_b_r - 122.245105314247*v_R1_c_i + 120.759116772529*v_R1_c_r + 56.3125589068872*v_R1_n_i - 76.9647176296197*v_R1_n_r - 24.9575997948692*v_R2_a_i + 23.284964480954*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r + 105.57176931318*v_R2_c_i - 54.0657727682604*v_R2_c_r - 39.6392229058201*v_R2_n_i + 10.2713736253514*v_R2_n_r
struct[0].g[6,0] = i_R1_n_r + 76.9647176296197*v_R1_a_i + 56.3125589068872*v_R1_a_r + 89.9783084852224*v_R1_b_i + 41.6309357959363*v_R1_b_r + 76.9647176296197*v_R1_c_i + 56.3125589068872*v_R1_c_r - 254.145804781065*v_R1_n_i - 155.925110649715*v_R1_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r - 23.284964480954*v_R2_b_i - 24.9575997948692*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058202*v_R2_c_r + 54.0657727682604*v_R2_n_i + 105.57176931318*v_R2_n_r
struct[0].g[7,0] = i_R1_n_i + 56.3125589068872*v_R1_a_i - 76.9647176296197*v_R1_a_r + 41.6309357959363*v_R1_b_i - 89.9783084852224*v_R1_b_r + 56.3125589068872*v_R1_c_i - 76.9647176296197*v_R1_c_r - 155.925110649715*v_R1_n_i + 254.145804781065*v_R1_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r - 24.9575997948692*v_R2_b_i + 23.284964480954*v_R2_b_r - 39.6392229058202*v_R2_c_i + 10.2713736253513*v_R2_c_r + 105.57176931318*v_R2_n_i - 54.0657727682604*v_R2_n_r
struct[0].g[8,0] = i_R11_a_r - 4.84676915585801*v_R11_a_i - 26.5300693004806*v_R11_a_r - 1.58482814504483*v_R11_b_i + 7.8946133751477*v_R11_b_r - 0.67991845328531*v_R11_c_i + 7.72144347466701*v_R11_c_r - 1.58482814504483*v_R11_n_i + 7.89461337514771*v_R11_n_r + 4.84676915585801*v_R3_a_i + 26.5300693004806*v_R3_a_r + 1.58482814504483*v_R3_b_i - 7.8946133751477*v_R3_b_r + 0.67991845328531*v_R3_c_i - 7.72144347466701*v_R3_c_r + 1.58482814504483*v_R3_n_i - 7.89461337514771*v_R3_n_r
struct[0].g[9,0] = i_R11_a_i - 26.5300693004806*v_R11_a_i + 4.84676915585801*v_R11_a_r + 7.8946133751477*v_R11_b_i + 1.58482814504483*v_R11_b_r + 7.72144347466701*v_R11_c_i + 0.67991845328531*v_R11_c_r + 7.89461337514771*v_R11_n_i + 1.58482814504483*v_R11_n_r + 26.5300693004806*v_R3_a_i - 4.84676915585801*v_R3_a_r - 7.8946133751477*v_R3_b_i - 1.58482814504483*v_R3_b_r - 7.72144347466701*v_R3_c_i - 0.67991845328531*v_R3_c_r - 7.89461337514771*v_R3_n_i - 1.58482814504483*v_R3_n_r
struct[0].g[10,0] = i_R11_b_r - 1.58482814504483*v_R11_a_i + 7.89461337514771*v_R11_a_r - 4.84676915585801*v_R11_b_i - 26.5300693004806*v_R11_b_r - 1.58482814504483*v_R11_c_i + 7.89461337514771*v_R11_c_r - 0.679918453285308*v_R11_n_i + 7.72144347466701*v_R11_n_r + 1.58482814504483*v_R3_a_i - 7.89461337514771*v_R3_a_r + 4.84676915585801*v_R3_b_i + 26.5300693004806*v_R3_b_r + 1.58482814504483*v_R3_c_i - 7.89461337514771*v_R3_c_r + 0.679918453285308*v_R3_n_i - 7.72144347466701*v_R3_n_r
struct[0].g[11,0] = i_R11_b_i + 7.89461337514771*v_R11_a_i + 1.58482814504483*v_R11_a_r - 26.5300693004806*v_R11_b_i + 4.84676915585801*v_R11_b_r + 7.89461337514771*v_R11_c_i + 1.58482814504483*v_R11_c_r + 7.72144347466701*v_R11_n_i + 0.679918453285308*v_R11_n_r - 7.89461337514771*v_R3_a_i - 1.58482814504483*v_R3_a_r + 26.5300693004806*v_R3_b_i - 4.84676915585801*v_R3_b_r - 7.89461337514771*v_R3_c_i - 1.58482814504483*v_R3_c_r - 7.72144347466701*v_R3_n_i - 0.679918453285308*v_R3_n_r
struct[0].g[12,0] = i_R11_c_r - 0.67991845328531*v_R11_a_i + 7.72144347466701*v_R11_a_r - 1.58482814504483*v_R11_b_i + 7.8946133751477*v_R11_b_r - 4.84676915585801*v_R11_c_i - 26.5300693004806*v_R11_c_r - 1.58482814504483*v_R11_n_i + 7.89461337514771*v_R11_n_r + 0.67991845328531*v_R3_a_i - 7.72144347466701*v_R3_a_r + 1.58482814504483*v_R3_b_i - 7.8946133751477*v_R3_b_r + 4.84676915585801*v_R3_c_i + 26.5300693004806*v_R3_c_r + 1.58482814504483*v_R3_n_i - 7.89461337514771*v_R3_n_r
struct[0].g[13,0] = i_R11_c_i + 7.72144347466701*v_R11_a_i + 0.67991845328531*v_R11_a_r + 7.8946133751477*v_R11_b_i + 1.58482814504483*v_R11_b_r - 26.5300693004806*v_R11_c_i + 4.84676915585801*v_R11_c_r + 7.89461337514771*v_R11_n_i + 1.58482814504483*v_R11_n_r - 7.72144347466701*v_R3_a_i - 0.67991845328531*v_R3_a_r - 7.8946133751477*v_R3_b_i - 1.58482814504483*v_R3_b_r + 26.5300693004806*v_R3_c_i - 4.84676915585801*v_R3_c_r - 7.89461337514771*v_R3_n_i - 1.58482814504483*v_R3_n_r
struct[0].g[14,0] = i_R11_n_r - 1.58482814504483*v_R11_a_i + 7.89461337514771*v_R11_a_r - 0.679918453285308*v_R11_b_i + 7.72144347466701*v_R11_b_r - 1.58482814504483*v_R11_c_i + 7.89461337514771*v_R11_c_r - 4.84676915585801*v_R11_n_i - 26.5550693004806*v_R11_n_r + 1.58482814504483*v_R3_a_i - 7.89461337514771*v_R3_a_r + 0.679918453285308*v_R3_b_i - 7.72144347466701*v_R3_b_r + 1.58482814504483*v_R3_c_i - 7.89461337514771*v_R3_c_r + 4.84676915585801*v_R3_n_i + 26.5300693004806*v_R3_n_r
struct[0].g[15,0] = i_R11_n_i + 7.89461337514771*v_R11_a_i + 1.58482814504483*v_R11_a_r + 7.72144347466701*v_R11_b_i + 0.679918453285308*v_R11_b_r + 7.89461337514771*v_R11_c_i + 1.58482814504483*v_R11_c_r - 26.5550693004806*v_R11_n_i + 4.84676915585801*v_R11_n_r - 7.89461337514771*v_R3_a_i - 1.58482814504483*v_R3_a_r - 7.72144347466701*v_R3_b_i - 0.679918453285308*v_R3_b_r - 7.89461337514771*v_R3_c_i - 1.58482814504483*v_R3_c_r + 26.5300693004806*v_R3_n_i - 4.84676915585801*v_R3_n_r
struct[0].g[16,0] = i_R15_a_r + 4.84676915585801*v_R14_a_i + 26.5300693004806*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 0.67991845328531*v_R14_c_i - 7.72144347466701*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r - 4.84676915585801*v_R15_a_i - 26.5300693004806*v_R15_a_r - 1.58482814504483*v_R15_b_i + 7.8946133751477*v_R15_b_r - 0.67991845328531*v_R15_c_i + 7.72144347466701*v_R15_c_r - 1.58482814504483*v_R15_n_i + 7.89461337514771*v_R15_n_r
struct[0].g[17,0] = i_R15_a_i + 26.5300693004806*v_R14_a_i - 4.84676915585801*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r - 7.72144347466701*v_R14_c_i - 0.67991845328531*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r - 26.5300693004806*v_R15_a_i + 4.84676915585801*v_R15_a_r + 7.8946133751477*v_R15_b_i + 1.58482814504483*v_R15_b_r + 7.72144347466701*v_R15_c_i + 0.67991845328531*v_R15_c_r + 7.89461337514771*v_R15_n_i + 1.58482814504483*v_R15_n_r
struct[0].g[18,0] = i_R15_b_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 4.84676915585801*v_R14_b_i + 26.5300693004806*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 0.679918453285308*v_R14_n_i - 7.72144347466701*v_R14_n_r - 1.58482814504483*v_R15_a_i + 7.89461337514771*v_R15_a_r - 4.84676915585801*v_R15_b_i - 26.5300693004806*v_R15_b_r - 1.58482814504483*v_R15_c_i + 7.89461337514771*v_R15_c_r - 0.679918453285308*v_R15_n_i + 7.72144347466701*v_R15_n_r
struct[0].g[19,0] = i_R15_b_i - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r + 26.5300693004806*v_R14_b_i - 4.84676915585801*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r - 7.72144347466701*v_R14_n_i - 0.679918453285308*v_R14_n_r + 7.89461337514771*v_R15_a_i + 1.58482814504483*v_R15_a_r - 26.5300693004806*v_R15_b_i + 4.84676915585801*v_R15_b_r + 7.89461337514771*v_R15_c_i + 1.58482814504483*v_R15_c_r + 7.72144347466701*v_R15_n_i + 0.679918453285308*v_R15_n_r
struct[0].g[20,0] = i_R15_c_r + 0.67991845328531*v_R14_a_i - 7.72144347466701*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 4.84676915585801*v_R14_c_i + 26.5300693004806*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r - 0.67991845328531*v_R15_a_i + 7.72144347466701*v_R15_a_r - 1.58482814504483*v_R15_b_i + 7.8946133751477*v_R15_b_r - 4.84676915585801*v_R15_c_i - 26.5300693004806*v_R15_c_r - 1.58482814504483*v_R15_n_i + 7.89461337514771*v_R15_n_r
struct[0].g[21,0] = i_R15_c_i - 7.72144347466701*v_R14_a_i - 0.67991845328531*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r + 26.5300693004806*v_R14_c_i - 4.84676915585801*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r + 7.72144347466701*v_R15_a_i + 0.67991845328531*v_R15_a_r + 7.8946133751477*v_R15_b_i + 1.58482814504483*v_R15_b_r - 26.5300693004806*v_R15_c_i + 4.84676915585801*v_R15_c_r + 7.89461337514771*v_R15_n_i + 1.58482814504483*v_R15_n_r
struct[0].g[22,0] = i_R15_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 0.679918453285308*v_R14_b_i - 7.72144347466701*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 4.84676915585801*v_R14_n_i + 26.5300693004806*v_R14_n_r - 1.58482814504483*v_R15_a_i + 7.89461337514771*v_R15_a_r - 0.679918453285308*v_R15_b_i + 7.72144347466701*v_R15_b_r - 1.58482814504483*v_R15_c_i + 7.89461337514771*v_R15_c_r - 4.84676915585801*v_R15_n_i - 26.5550693004806*v_R15_n_r
struct[0].g[23,0] = i_R15_n_i - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r - 7.72144347466701*v_R14_b_i - 0.679918453285308*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r + 26.5300693004806*v_R14_n_i - 4.84676915585801*v_R14_n_r + 7.89461337514771*v_R15_a_i + 1.58482814504483*v_R15_a_r + 7.72144347466701*v_R15_b_i + 0.679918453285308*v_R15_b_r + 7.89461337514771*v_R15_c_i + 1.58482814504483*v_R15_c_r - 26.5550693004806*v_R15_n_i + 4.84676915585801*v_R15_n_r
struct[0].g[24,0] = i_R16_a_r - 5.65456401516768*v_R16_a_i - 30.9517475172273*v_R16_a_r - 1.84896616921897*v_R16_b_i + 9.21038227100566*v_R16_b_r - 0.793238195499529*v_R16_c_i + 9.00835072044485*v_R16_c_r - 1.84896616921897*v_R16_n_i + 9.21038227100566*v_R16_n_r + 5.65456401516768*v_R6_a_i + 30.9517475172273*v_R6_a_r + 1.84896616921897*v_R6_b_i - 9.21038227100566*v_R6_b_r + 0.793238195499529*v_R6_c_i - 9.00835072044485*v_R6_c_r + 1.84896616921897*v_R6_n_i - 9.21038227100566*v_R6_n_r
struct[0].g[25,0] = i_R16_a_i - 30.9517475172273*v_R16_a_i + 5.65456401516768*v_R16_a_r + 9.21038227100566*v_R16_b_i + 1.84896616921897*v_R16_b_r + 9.00835072044485*v_R16_c_i + 0.793238195499529*v_R16_c_r + 9.21038227100566*v_R16_n_i + 1.84896616921897*v_R16_n_r + 30.9517475172273*v_R6_a_i - 5.65456401516768*v_R6_a_r - 9.21038227100566*v_R6_b_i - 1.84896616921897*v_R6_b_r - 9.00835072044485*v_R6_c_i - 0.793238195499529*v_R6_c_r - 9.21038227100566*v_R6_n_i - 1.84896616921897*v_R6_n_r
struct[0].g[26,0] = i_R16_b_r - 1.84896616921897*v_R16_a_i + 9.21038227100566*v_R16_a_r - 5.65456401516768*v_R16_b_i - 30.9517475172273*v_R16_b_r - 1.84896616921897*v_R16_c_i + 9.21038227100566*v_R16_c_r - 0.793238195499528*v_R16_n_i + 9.00835072044485*v_R16_n_r + 1.84896616921897*v_R6_a_i - 9.21038227100566*v_R6_a_r + 5.65456401516768*v_R6_b_i + 30.9517475172273*v_R6_b_r + 1.84896616921897*v_R6_c_i - 9.21038227100566*v_R6_c_r + 0.793238195499528*v_R6_n_i - 9.00835072044485*v_R6_n_r
struct[0].g[27,0] = i_R16_b_i + 9.21038227100566*v_R16_a_i + 1.84896616921897*v_R16_a_r - 30.9517475172273*v_R16_b_i + 5.65456401516768*v_R16_b_r + 9.21038227100566*v_R16_c_i + 1.84896616921897*v_R16_c_r + 9.00835072044485*v_R16_n_i + 0.793238195499528*v_R16_n_r - 9.21038227100566*v_R6_a_i - 1.84896616921897*v_R6_a_r + 30.9517475172273*v_R6_b_i - 5.65456401516768*v_R6_b_r - 9.21038227100566*v_R6_c_i - 1.84896616921897*v_R6_c_r - 9.00835072044485*v_R6_n_i - 0.793238195499528*v_R6_n_r
struct[0].g[28,0] = i_R16_c_r - 0.793238195499527*v_R16_a_i + 9.00835072044484*v_R16_a_r - 1.84896616921897*v_R16_b_i + 9.21038227100566*v_R16_b_r - 5.65456401516768*v_R16_c_i - 30.9517475172273*v_R16_c_r - 1.84896616921897*v_R16_n_i + 9.21038227100566*v_R16_n_r + 0.793238195499527*v_R6_a_i - 9.00835072044484*v_R6_a_r + 1.84896616921897*v_R6_b_i - 9.21038227100566*v_R6_b_r + 5.65456401516768*v_R6_c_i + 30.9517475172273*v_R6_c_r + 1.84896616921897*v_R6_n_i - 9.21038227100566*v_R6_n_r
struct[0].g[29,0] = i_R16_c_i + 9.00835072044484*v_R16_a_i + 0.793238195499527*v_R16_a_r + 9.21038227100566*v_R16_b_i + 1.84896616921897*v_R16_b_r - 30.9517475172273*v_R16_c_i + 5.65456401516768*v_R16_c_r + 9.21038227100566*v_R16_n_i + 1.84896616921897*v_R16_n_r - 9.00835072044484*v_R6_a_i - 0.793238195499527*v_R6_a_r - 9.21038227100566*v_R6_b_i - 1.84896616921897*v_R6_b_r + 30.9517475172273*v_R6_c_i - 5.65456401516768*v_R6_c_r - 9.21038227100566*v_R6_n_i - 1.84896616921897*v_R6_n_r
struct[0].g[30,0] = i_R16_n_r - 1.84896616921897*v_R16_a_i + 9.21038227100566*v_R16_a_r - 0.793238195499527*v_R16_b_i + 9.00835072044485*v_R16_b_r - 1.84896616921897*v_R16_c_i + 9.21038227100566*v_R16_c_r - 5.65456401516768*v_R16_n_i - 30.9767475172273*v_R16_n_r + 1.84896616921897*v_R6_a_i - 9.21038227100566*v_R6_a_r + 0.793238195499527*v_R6_b_i - 9.00835072044485*v_R6_b_r + 1.84896616921897*v_R6_c_i - 9.21038227100566*v_R6_c_r + 5.65456401516768*v_R6_n_i + 30.9517475172273*v_R6_n_r
struct[0].g[31,0] = i_R16_n_i + 9.21038227100566*v_R16_a_i + 1.84896616921897*v_R16_a_r + 9.00835072044485*v_R16_b_i + 0.793238195499527*v_R16_b_r + 9.21038227100566*v_R16_c_i + 1.84896616921897*v_R16_c_r - 30.9767475172273*v_R16_n_i + 5.65456401516768*v_R16_n_r - 9.21038227100566*v_R6_a_i - 1.84896616921897*v_R6_a_r - 9.00835072044485*v_R6_b_i - 0.793238195499527*v_R6_b_r - 9.21038227100566*v_R6_c_i - 1.84896616921897*v_R6_c_r + 30.9517475172273*v_R6_n_i - 5.65456401516768*v_R6_n_r
struct[0].g[32,0] = i_R17_a_r - 5.65456401516768*v_R17_a_i - 30.9517475172273*v_R17_a_r - 1.84896616921897*v_R17_b_i + 9.21038227100566*v_R17_b_r - 0.793238195499529*v_R17_c_i + 9.00835072044485*v_R17_c_r - 1.84896616921897*v_R17_n_i + 9.21038227100566*v_R17_n_r + 5.65456401516768*v_R9_a_i + 30.9517475172273*v_R9_a_r + 1.84896616921897*v_R9_b_i - 9.21038227100566*v_R9_b_r + 0.793238195499529*v_R9_c_i - 9.00835072044485*v_R9_c_r + 1.84896616921897*v_R9_n_i - 9.21038227100566*v_R9_n_r
struct[0].g[33,0] = i_R17_a_i - 30.9517475172273*v_R17_a_i + 5.65456401516768*v_R17_a_r + 9.21038227100566*v_R17_b_i + 1.84896616921897*v_R17_b_r + 9.00835072044485*v_R17_c_i + 0.793238195499529*v_R17_c_r + 9.21038227100566*v_R17_n_i + 1.84896616921897*v_R17_n_r + 30.9517475172273*v_R9_a_i - 5.65456401516768*v_R9_a_r - 9.21038227100566*v_R9_b_i - 1.84896616921897*v_R9_b_r - 9.00835072044485*v_R9_c_i - 0.793238195499529*v_R9_c_r - 9.21038227100566*v_R9_n_i - 1.84896616921897*v_R9_n_r
struct[0].g[34,0] = i_R17_b_r - 1.84896616921897*v_R17_a_i + 9.21038227100566*v_R17_a_r - 5.65456401516768*v_R17_b_i - 30.9517475172273*v_R17_b_r - 1.84896616921897*v_R17_c_i + 9.21038227100566*v_R17_c_r - 0.793238195499528*v_R17_n_i + 9.00835072044485*v_R17_n_r + 1.84896616921897*v_R9_a_i - 9.21038227100566*v_R9_a_r + 5.65456401516768*v_R9_b_i + 30.9517475172273*v_R9_b_r + 1.84896616921897*v_R9_c_i - 9.21038227100566*v_R9_c_r + 0.793238195499528*v_R9_n_i - 9.00835072044485*v_R9_n_r
struct[0].g[35,0] = i_R17_b_i + 9.21038227100566*v_R17_a_i + 1.84896616921897*v_R17_a_r - 30.9517475172273*v_R17_b_i + 5.65456401516768*v_R17_b_r + 9.21038227100566*v_R17_c_i + 1.84896616921897*v_R17_c_r + 9.00835072044485*v_R17_n_i + 0.793238195499528*v_R17_n_r - 9.21038227100566*v_R9_a_i - 1.84896616921897*v_R9_a_r + 30.9517475172273*v_R9_b_i - 5.65456401516768*v_R9_b_r - 9.21038227100566*v_R9_c_i - 1.84896616921897*v_R9_c_r - 9.00835072044485*v_R9_n_i - 0.793238195499528*v_R9_n_r
struct[0].g[36,0] = i_R17_c_r - 0.793238195499527*v_R17_a_i + 9.00835072044484*v_R17_a_r - 1.84896616921897*v_R17_b_i + 9.21038227100566*v_R17_b_r - 5.65456401516768*v_R17_c_i - 30.9517475172273*v_R17_c_r - 1.84896616921897*v_R17_n_i + 9.21038227100566*v_R17_n_r + 0.793238195499527*v_R9_a_i - 9.00835072044484*v_R9_a_r + 1.84896616921897*v_R9_b_i - 9.21038227100566*v_R9_b_r + 5.65456401516768*v_R9_c_i + 30.9517475172273*v_R9_c_r + 1.84896616921897*v_R9_n_i - 9.21038227100566*v_R9_n_r
struct[0].g[37,0] = i_R17_c_i + 9.00835072044484*v_R17_a_i + 0.793238195499527*v_R17_a_r + 9.21038227100566*v_R17_b_i + 1.84896616921897*v_R17_b_r - 30.9517475172273*v_R17_c_i + 5.65456401516768*v_R17_c_r + 9.21038227100566*v_R17_n_i + 1.84896616921897*v_R17_n_r - 9.00835072044484*v_R9_a_i - 0.793238195499527*v_R9_a_r - 9.21038227100566*v_R9_b_i - 1.84896616921897*v_R9_b_r + 30.9517475172273*v_R9_c_i - 5.65456401516768*v_R9_c_r - 9.21038227100566*v_R9_n_i - 1.84896616921897*v_R9_n_r
struct[0].g[38,0] = i_R17_n_r - 1.84896616921897*v_R17_a_i + 9.21038227100566*v_R17_a_r - 0.793238195499527*v_R17_b_i + 9.00835072044485*v_R17_b_r - 1.84896616921897*v_R17_c_i + 9.21038227100566*v_R17_c_r - 5.65456401516768*v_R17_n_i - 30.9767475172273*v_R17_n_r + 1.84896616921897*v_R9_a_i - 9.21038227100566*v_R9_a_r + 0.793238195499527*v_R9_b_i - 9.00835072044485*v_R9_b_r + 1.84896616921897*v_R9_c_i - 9.21038227100566*v_R9_c_r + 5.65456401516768*v_R9_n_i + 30.9517475172273*v_R9_n_r
struct[0].g[39,0] = i_R17_n_i + 9.21038227100566*v_R17_a_i + 1.84896616921897*v_R17_a_r + 9.00835072044485*v_R17_b_i + 0.793238195499527*v_R17_b_r + 9.21038227100566*v_R17_c_i + 1.84896616921897*v_R17_c_r - 30.9767475172273*v_R17_n_i + 5.65456401516768*v_R17_n_r - 9.21038227100566*v_R9_a_i - 1.84896616921897*v_R9_a_r - 9.00835072044485*v_R9_b_i - 0.793238195499527*v_R9_b_r - 9.21038227100566*v_R9_c_i - 1.84896616921897*v_R9_c_r + 30.9517475172273*v_R9_n_i - 5.65456401516768*v_R9_n_r
struct[0].g[40,0] = i_R18_a_r + 5.65456401516768*v_R10_a_i + 30.9517475172273*v_R10_a_r + 1.84896616921897*v_R10_b_i - 9.21038227100566*v_R10_b_r + 0.793238195499529*v_R10_c_i - 9.00835072044485*v_R10_c_r + 1.84896616921897*v_R10_n_i - 9.21038227100566*v_R10_n_r - 5.65456401516768*v_R18_a_i - 30.9517475172273*v_R18_a_r - 1.84896616921897*v_R18_b_i + 9.21038227100566*v_R18_b_r - 0.793238195499529*v_R18_c_i + 9.00835072044485*v_R18_c_r - 1.84896616921897*v_R18_n_i + 9.21038227100566*v_R18_n_r
struct[0].g[41,0] = i_R18_a_i + 30.9517475172273*v_R10_a_i - 5.65456401516768*v_R10_a_r - 9.21038227100566*v_R10_b_i - 1.84896616921897*v_R10_b_r - 9.00835072044485*v_R10_c_i - 0.793238195499529*v_R10_c_r - 9.21038227100566*v_R10_n_i - 1.84896616921897*v_R10_n_r - 30.9517475172273*v_R18_a_i + 5.65456401516768*v_R18_a_r + 9.21038227100566*v_R18_b_i + 1.84896616921897*v_R18_b_r + 9.00835072044485*v_R18_c_i + 0.793238195499529*v_R18_c_r + 9.21038227100566*v_R18_n_i + 1.84896616921897*v_R18_n_r
struct[0].g[42,0] = i_R18_b_r + 1.84896616921897*v_R10_a_i - 9.21038227100566*v_R10_a_r + 5.65456401516768*v_R10_b_i + 30.9517475172273*v_R10_b_r + 1.84896616921897*v_R10_c_i - 9.21038227100566*v_R10_c_r + 0.793238195499528*v_R10_n_i - 9.00835072044485*v_R10_n_r - 1.84896616921897*v_R18_a_i + 9.21038227100566*v_R18_a_r - 5.65456401516768*v_R18_b_i - 30.9517475172273*v_R18_b_r - 1.84896616921897*v_R18_c_i + 9.21038227100566*v_R18_c_r - 0.793238195499528*v_R18_n_i + 9.00835072044485*v_R18_n_r
struct[0].g[43,0] = i_R18_b_i - 9.21038227100566*v_R10_a_i - 1.84896616921897*v_R10_a_r + 30.9517475172273*v_R10_b_i - 5.65456401516768*v_R10_b_r - 9.21038227100566*v_R10_c_i - 1.84896616921897*v_R10_c_r - 9.00835072044485*v_R10_n_i - 0.793238195499528*v_R10_n_r + 9.21038227100566*v_R18_a_i + 1.84896616921897*v_R18_a_r - 30.9517475172273*v_R18_b_i + 5.65456401516768*v_R18_b_r + 9.21038227100566*v_R18_c_i + 1.84896616921897*v_R18_c_r + 9.00835072044485*v_R18_n_i + 0.793238195499528*v_R18_n_r
struct[0].g[44,0] = i_R18_c_r + 0.793238195499527*v_R10_a_i - 9.00835072044484*v_R10_a_r + 1.84896616921897*v_R10_b_i - 9.21038227100566*v_R10_b_r + 5.65456401516768*v_R10_c_i + 30.9517475172273*v_R10_c_r + 1.84896616921897*v_R10_n_i - 9.21038227100566*v_R10_n_r - 0.793238195499527*v_R18_a_i + 9.00835072044484*v_R18_a_r - 1.84896616921897*v_R18_b_i + 9.21038227100566*v_R18_b_r - 5.65456401516768*v_R18_c_i - 30.9517475172273*v_R18_c_r - 1.84896616921897*v_R18_n_i + 9.21038227100566*v_R18_n_r
struct[0].g[45,0] = i_R18_c_i - 9.00835072044484*v_R10_a_i - 0.793238195499527*v_R10_a_r - 9.21038227100566*v_R10_b_i - 1.84896616921897*v_R10_b_r + 30.9517475172273*v_R10_c_i - 5.65456401516768*v_R10_c_r - 9.21038227100566*v_R10_n_i - 1.84896616921897*v_R10_n_r + 9.00835072044484*v_R18_a_i + 0.793238195499527*v_R18_a_r + 9.21038227100566*v_R18_b_i + 1.84896616921897*v_R18_b_r - 30.9517475172273*v_R18_c_i + 5.65456401516768*v_R18_c_r + 9.21038227100566*v_R18_n_i + 1.84896616921897*v_R18_n_r
struct[0].g[46,0] = i_R18_n_r + 1.84896616921897*v_R10_a_i - 9.21038227100566*v_R10_a_r + 0.793238195499527*v_R10_b_i - 9.00835072044485*v_R10_b_r + 1.84896616921897*v_R10_c_i - 9.21038227100566*v_R10_c_r + 5.65456401516768*v_R10_n_i + 30.9517475172273*v_R10_n_r - 1.84896616921897*v_R18_a_i + 9.21038227100566*v_R18_a_r - 0.793238195499527*v_R18_b_i + 9.00835072044485*v_R18_b_r - 1.84896616921897*v_R18_c_i + 9.21038227100566*v_R18_c_r - 5.65456401516768*v_R18_n_i - 30.9767475172273*v_R18_n_r
struct[0].g[47,0] = i_R18_n_i - 9.21038227100566*v_R10_a_i - 1.84896616921897*v_R10_a_r - 9.00835072044485*v_R10_b_i - 0.793238195499527*v_R10_b_r - 9.21038227100566*v_R10_c_i - 1.84896616921897*v_R10_c_r + 30.9517475172273*v_R10_n_i - 5.65456401516768*v_R10_n_r + 9.21038227100566*v_R18_a_i + 1.84896616921897*v_R18_a_r + 9.00835072044485*v_R18_b_i + 0.793238195499527*v_R18_b_r + 9.21038227100566*v_R18_c_i + 1.84896616921897*v_R18_c_r - 30.9767475172273*v_R18_n_i + 5.65456401516768*v_R18_n_r
struct[0].g[48,0] = i_R2_a_r + 54.0657727682604*v_R1_a_i + 105.57176931318*v_R1_a_r - 10.2713736253513*v_R1_b_i - 39.6392229058202*v_R1_b_r - 23.284964480954*v_R1_c_i - 24.9575997948692*v_R1_c_r - 10.2713736253513*v_R1_n_i - 39.6392229058202*v_R1_n_r - 108.131545536521*v_R2_a_i - 211.14353862636*v_R2_a_r + 20.5427472507027*v_R2_b_i + 79.2784458116403*v_R2_b_r + 46.569928961908*v_R2_c_i + 49.9151995897384*v_R2_c_r + 20.5427472507027*v_R2_n_i + 79.2784458116403*v_R2_n_r + 54.0657727682604*v_R3_a_i + 105.57176931318*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r - 23.284964480954*v_R3_c_i - 24.9575997948692*v_R3_c_r - 10.2713736253513*v_R3_n_i - 39.6392229058202*v_R3_n_r
struct[0].g[49,0] = i_R2_a_i + 105.57176931318*v_R1_a_i - 54.0657727682604*v_R1_a_r - 39.6392229058202*v_R1_b_i + 10.2713736253513*v_R1_b_r - 24.9575997948692*v_R1_c_i + 23.284964480954*v_R1_c_r - 39.6392229058202*v_R1_n_i + 10.2713736253513*v_R1_n_r - 211.14353862636*v_R2_a_i + 108.131545536521*v_R2_a_r + 79.2784458116403*v_R2_b_i - 20.5427472507027*v_R2_b_r + 49.9151995897384*v_R2_c_i - 46.569928961908*v_R2_c_r + 79.2784458116403*v_R2_n_i - 20.5427472507027*v_R2_n_r + 105.57176931318*v_R3_a_i - 54.0657727682604*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r - 24.9575997948692*v_R3_c_i + 23.284964480954*v_R3_c_r - 39.6392229058202*v_R3_n_i + 10.2713736253513*v_R3_n_r
struct[0].g[50,0] = i_R2_b_r - 10.2713736253513*v_R1_a_i - 39.6392229058202*v_R1_a_r + 54.0657727682604*v_R1_b_i + 105.57176931318*v_R1_b_r - 10.2713736253513*v_R1_c_i - 39.6392229058201*v_R1_c_r - 23.284964480954*v_R1_n_i - 24.9575997948692*v_R1_n_r + 20.5427472507027*v_R2_a_i + 79.2784458116403*v_R2_a_r - 108.131545536521*v_R2_b_i - 211.14353862636*v_R2_b_r + 20.5427472507027*v_R2_c_i + 79.2784458116403*v_R2_c_r + 46.569928961908*v_R2_n_i + 49.9151995897384*v_R2_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r + 54.0657727682604*v_R3_b_i + 105.57176931318*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058201*v_R3_c_r - 23.284964480954*v_R3_n_i - 24.9575997948692*v_R3_n_r
struct[0].g[51,0] = i_R2_b_i - 39.6392229058202*v_R1_a_i + 10.2713736253513*v_R1_a_r + 105.57176931318*v_R1_b_i - 54.0657727682604*v_R1_b_r - 39.6392229058201*v_R1_c_i + 10.2713736253513*v_R1_c_r - 24.9575997948692*v_R1_n_i + 23.284964480954*v_R1_n_r + 79.2784458116403*v_R2_a_i - 20.5427472507027*v_R2_a_r - 211.14353862636*v_R2_b_i + 108.131545536521*v_R2_b_r + 79.2784458116403*v_R2_c_i - 20.5427472507027*v_R2_c_r + 49.9151995897384*v_R2_n_i - 46.569928961908*v_R2_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r + 105.57176931318*v_R3_b_i - 54.0657727682604*v_R3_b_r - 39.6392229058201*v_R3_c_i + 10.2713736253513*v_R3_c_r - 24.9575997948692*v_R3_n_i + 23.284964480954*v_R3_n_r
struct[0].g[52,0] = i_R2_c_r - 23.284964480954*v_R1_a_i - 24.9575997948692*v_R1_a_r - 10.2713736253513*v_R1_b_i - 39.6392229058202*v_R1_b_r + 54.0657727682604*v_R1_c_i + 105.57176931318*v_R1_c_r - 10.2713736253514*v_R1_n_i - 39.6392229058201*v_R1_n_r + 46.569928961908*v_R2_a_i + 49.9151995897384*v_R2_a_r + 20.5427472507027*v_R2_b_i + 79.2784458116404*v_R2_b_r - 108.131545536521*v_R2_c_i - 211.14353862636*v_R2_c_r + 20.5427472507027*v_R2_n_i + 79.2784458116403*v_R2_n_r - 23.284964480954*v_R3_a_i - 24.9575997948692*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r + 54.0657727682604*v_R3_c_i + 105.57176931318*v_R3_c_r - 10.2713736253514*v_R3_n_i - 39.6392229058201*v_R3_n_r
struct[0].g[53,0] = i_R2_c_i - 24.9575997948692*v_R1_a_i + 23.284964480954*v_R1_a_r - 39.6392229058202*v_R1_b_i + 10.2713736253513*v_R1_b_r + 105.57176931318*v_R1_c_i - 54.0657727682604*v_R1_c_r - 39.6392229058201*v_R1_n_i + 10.2713736253514*v_R1_n_r + 49.9151995897384*v_R2_a_i - 46.569928961908*v_R2_a_r + 79.2784458116404*v_R2_b_i - 20.5427472507027*v_R2_b_r - 211.14353862636*v_R2_c_i + 108.131545536521*v_R2_c_r + 79.2784458116403*v_R2_n_i - 20.5427472507027*v_R2_n_r - 24.9575997948692*v_R3_a_i + 23.284964480954*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r + 105.57176931318*v_R3_c_i - 54.0657727682604*v_R3_c_r - 39.6392229058201*v_R3_n_i + 10.2713736253514*v_R3_n_r
struct[0].g[54,0] = i_R2_n_r - 10.2713736253513*v_R1_a_i - 39.6392229058202*v_R1_a_r - 23.284964480954*v_R1_b_i - 24.9575997948692*v_R1_b_r - 10.2713736253513*v_R1_c_i - 39.6392229058202*v_R1_c_r + 54.0657727682604*v_R1_n_i + 105.57176931318*v_R1_n_r + 20.5427472507027*v_R2_a_i + 79.2784458116403*v_R2_a_r + 46.569928961908*v_R2_b_i + 49.9151995897384*v_R2_b_r + 20.5427472507027*v_R2_c_i + 79.2784458116403*v_R2_c_r - 108.131545536521*v_R2_n_i - 211.16853862636*v_R2_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r - 23.284964480954*v_R3_b_i - 24.9575997948692*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058202*v_R3_c_r + 54.0657727682604*v_R3_n_i + 105.57176931318*v_R3_n_r
struct[0].g[55,0] = i_R2_n_i - 39.6392229058202*v_R1_a_i + 10.2713736253513*v_R1_a_r - 24.9575997948692*v_R1_b_i + 23.284964480954*v_R1_b_r - 39.6392229058202*v_R1_c_i + 10.2713736253513*v_R1_c_r + 105.57176931318*v_R1_n_i - 54.0657727682604*v_R1_n_r + 79.2784458116403*v_R2_a_i - 20.5427472507027*v_R2_a_r + 49.9151995897384*v_R2_b_i - 46.569928961908*v_R2_b_r + 79.2784458116403*v_R2_c_i - 20.5427472507027*v_R2_c_r - 211.16853862636*v_R2_n_i + 108.131545536521*v_R2_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r - 24.9575997948692*v_R3_b_i + 23.284964480954*v_R3_b_r - 39.6392229058202*v_R3_c_i + 10.2713736253513*v_R3_c_r + 105.57176931318*v_R3_n_i - 54.0657727682604*v_R3_n_r
struct[0].g[56,0] = i_R3_a_r + 4.84676915585801*v_R11_a_i + 26.5300693004806*v_R11_a_r + 1.58482814504483*v_R11_b_i - 7.8946133751477*v_R11_b_r + 0.67991845328531*v_R11_c_i - 7.72144347466701*v_R11_c_r + 1.58482814504483*v_R11_n_i - 7.89461337514771*v_R11_n_r + 54.0657727682604*v_R2_a_i + 105.57176931318*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r - 23.284964480954*v_R2_c_i - 24.9575997948692*v_R2_c_r - 10.2713736253513*v_R2_n_i - 39.6392229058202*v_R2_n_r - 112.978314692379*v_R3_a_i - 237.673607926841*v_R3_a_r + 18.9579191056578*v_R3_b_i + 87.173059186788*v_R3_b_r + 45.8900105086227*v_R3_c_i + 57.6366430644055*v_R3_c_r + 18.9579191056579*v_R3_n_i + 87.173059186788*v_R3_n_r + 54.0657727682604*v_R4_a_i + 105.57176931318*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r - 23.284964480954*v_R4_c_i - 24.9575997948692*v_R4_c_r - 10.2713736253513*v_R4_n_i - 39.6392229058202*v_R4_n_r
struct[0].g[57,0] = i_R3_a_i + 26.5300693004806*v_R11_a_i - 4.84676915585801*v_R11_a_r - 7.8946133751477*v_R11_b_i - 1.58482814504483*v_R11_b_r - 7.72144347466701*v_R11_c_i - 0.67991845328531*v_R11_c_r - 7.89461337514771*v_R11_n_i - 1.58482814504483*v_R11_n_r + 105.57176931318*v_R2_a_i - 54.0657727682604*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r - 24.9575997948692*v_R2_c_i + 23.284964480954*v_R2_c_r - 39.6392229058202*v_R2_n_i + 10.2713736253513*v_R2_n_r - 237.673607926841*v_R3_a_i + 112.978314692379*v_R3_a_r + 87.173059186788*v_R3_b_i - 18.9579191056578*v_R3_b_r + 57.6366430644055*v_R3_c_i - 45.8900105086227*v_R3_c_r + 87.173059186788*v_R3_n_i - 18.9579191056579*v_R3_n_r + 105.57176931318*v_R4_a_i - 54.0657727682604*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r - 24.9575997948692*v_R4_c_i + 23.284964480954*v_R4_c_r - 39.6392229058202*v_R4_n_i + 10.2713736253513*v_R4_n_r
struct[0].g[58,0] = i_R3_b_r + 1.58482814504483*v_R11_a_i - 7.89461337514771*v_R11_a_r + 4.84676915585801*v_R11_b_i + 26.5300693004806*v_R11_b_r + 1.58482814504483*v_R11_c_i - 7.89461337514771*v_R11_c_r + 0.679918453285308*v_R11_n_i - 7.72144347466701*v_R11_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r + 54.0657727682604*v_R2_b_i + 105.57176931318*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058201*v_R2_c_r - 23.284964480954*v_R2_n_i - 24.9575997948692*v_R2_n_r + 18.9579191056579*v_R3_a_i + 87.173059186788*v_R3_a_r - 112.978314692379*v_R3_b_i - 237.673607926841*v_R3_b_r + 18.9579191056579*v_R3_c_i + 87.173059186788*v_R3_c_r + 45.8900105086227*v_R3_n_i + 57.6366430644054*v_R3_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r + 54.0657727682604*v_R4_b_i + 105.57176931318*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058201*v_R4_c_r - 23.284964480954*v_R4_n_i - 24.9575997948692*v_R4_n_r
struct[0].g[59,0] = i_R3_b_i - 7.89461337514771*v_R11_a_i - 1.58482814504483*v_R11_a_r + 26.5300693004806*v_R11_b_i - 4.84676915585801*v_R11_b_r - 7.89461337514771*v_R11_c_i - 1.58482814504483*v_R11_c_r - 7.72144347466701*v_R11_n_i - 0.679918453285308*v_R11_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r + 105.57176931318*v_R2_b_i - 54.0657727682604*v_R2_b_r - 39.6392229058201*v_R2_c_i + 10.2713736253513*v_R2_c_r - 24.9575997948692*v_R2_n_i + 23.284964480954*v_R2_n_r + 87.173059186788*v_R3_a_i - 18.9579191056579*v_R3_a_r - 237.673607926841*v_R3_b_i + 112.978314692379*v_R3_b_r + 87.173059186788*v_R3_c_i - 18.9579191056579*v_R3_c_r + 57.6366430644054*v_R3_n_i - 45.8900105086227*v_R3_n_r - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r + 105.57176931318*v_R4_b_i - 54.0657727682604*v_R4_b_r - 39.6392229058201*v_R4_c_i + 10.2713736253513*v_R4_c_r - 24.9575997948692*v_R4_n_i + 23.284964480954*v_R4_n_r
struct[0].g[60,0] = i_R3_c_r + 0.67991845328531*v_R11_a_i - 7.72144347466701*v_R11_a_r + 1.58482814504483*v_R11_b_i - 7.8946133751477*v_R11_b_r + 4.84676915585801*v_R11_c_i + 26.5300693004806*v_R11_c_r + 1.58482814504483*v_R11_n_i - 7.89461337514771*v_R11_n_r - 23.284964480954*v_R2_a_i - 24.9575997948692*v_R2_a_r - 10.2713736253513*v_R2_b_i - 39.6392229058202*v_R2_b_r + 54.0657727682604*v_R2_c_i + 105.57176931318*v_R2_c_r - 10.2713736253514*v_R2_n_i - 39.6392229058201*v_R2_n_r + 45.8900105086227*v_R3_a_i + 57.6366430644054*v_R3_a_r + 18.9579191056578*v_R3_b_i + 87.1730591867881*v_R3_b_r - 112.978314692379*v_R3_c_i - 237.673607926841*v_R3_c_r + 18.9579191056579*v_R3_n_i + 87.173059186788*v_R3_n_r - 23.284964480954*v_R4_a_i - 24.9575997948692*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r + 54.0657727682604*v_R4_c_i + 105.57176931318*v_R4_c_r - 10.2713736253514*v_R4_n_i - 39.6392229058201*v_R4_n_r
struct[0].g[61,0] = i_R3_c_i - 7.72144347466701*v_R11_a_i - 0.67991845328531*v_R11_a_r - 7.8946133751477*v_R11_b_i - 1.58482814504483*v_R11_b_r + 26.5300693004806*v_R11_c_i - 4.84676915585801*v_R11_c_r - 7.89461337514771*v_R11_n_i - 1.58482814504483*v_R11_n_r - 24.9575997948692*v_R2_a_i + 23.284964480954*v_R2_a_r - 39.6392229058202*v_R2_b_i + 10.2713736253513*v_R2_b_r + 105.57176931318*v_R2_c_i - 54.0657727682604*v_R2_c_r - 39.6392229058201*v_R2_n_i + 10.2713736253514*v_R2_n_r + 57.6366430644054*v_R3_a_i - 45.8900105086227*v_R3_a_r + 87.1730591867881*v_R3_b_i - 18.9579191056578*v_R3_b_r - 237.673607926841*v_R3_c_i + 112.978314692379*v_R3_c_r + 87.173059186788*v_R3_n_i - 18.9579191056579*v_R3_n_r - 24.9575997948692*v_R4_a_i + 23.284964480954*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r + 105.57176931318*v_R4_c_i - 54.0657727682604*v_R4_c_r - 39.6392229058201*v_R4_n_i + 10.2713736253514*v_R4_n_r
struct[0].g[62,0] = i_R3_n_r + 1.58482814504483*v_R11_a_i - 7.89461337514771*v_R11_a_r + 0.679918453285308*v_R11_b_i - 7.72144347466701*v_R11_b_r + 1.58482814504483*v_R11_c_i - 7.89461337514771*v_R11_c_r + 4.84676915585801*v_R11_n_i + 26.5300693004806*v_R11_n_r - 10.2713736253513*v_R2_a_i - 39.6392229058202*v_R2_a_r - 23.284964480954*v_R2_b_i - 24.9575997948692*v_R2_b_r - 10.2713736253513*v_R2_c_i - 39.6392229058202*v_R2_c_r + 54.0657727682604*v_R2_n_i + 105.57176931318*v_R2_n_r + 18.9579191056578*v_R3_a_i + 87.173059186788*v_R3_a_r + 45.8900105086227*v_R3_b_i + 57.6366430644054*v_R3_b_r + 18.9579191056579*v_R3_c_i + 87.173059186788*v_R3_c_r - 112.978314692379*v_R3_n_i - 237.673607926841*v_R3_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r - 23.284964480954*v_R4_b_i - 24.9575997948692*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058202*v_R4_c_r + 54.0657727682604*v_R4_n_i + 105.57176931318*v_R4_n_r
struct[0].g[63,0] = i_R3_n_i - 7.89461337514771*v_R11_a_i - 1.58482814504483*v_R11_a_r - 7.72144347466701*v_R11_b_i - 0.679918453285308*v_R11_b_r - 7.89461337514771*v_R11_c_i - 1.58482814504483*v_R11_c_r + 26.5300693004806*v_R11_n_i - 4.84676915585801*v_R11_n_r - 39.6392229058202*v_R2_a_i + 10.2713736253513*v_R2_a_r - 24.9575997948692*v_R2_b_i + 23.284964480954*v_R2_b_r - 39.6392229058202*v_R2_c_i + 10.2713736253513*v_R2_c_r + 105.57176931318*v_R2_n_i - 54.0657727682604*v_R2_n_r + 87.173059186788*v_R3_a_i - 18.9579191056578*v_R3_a_r + 57.6366430644054*v_R3_b_i - 45.8900105086227*v_R3_b_r + 87.173059186788*v_R3_c_i - 18.9579191056579*v_R3_c_r - 237.673607926841*v_R3_n_i + 112.978314692379*v_R3_n_r - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r - 24.9575997948692*v_R4_b_i + 23.284964480954*v_R4_b_r - 39.6392229058202*v_R4_c_i + 10.2713736253513*v_R4_c_r + 105.57176931318*v_R4_n_i - 54.0657727682604*v_R4_n_r
struct[0].g[64,0] = i_R4_a_r + 4.84676915585801*v_R12_a_i + 26.5300693004806*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 0.67991845328531*v_R12_c_i - 7.72144347466701*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r + 54.0657727682604*v_R3_a_i + 105.57176931318*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r - 23.284964480954*v_R3_c_i - 24.9575997948692*v_R3_c_r - 10.2713736253513*v_R3_n_i - 39.6392229058202*v_R3_n_r - 112.978314692379*v_R4_a_i - 237.673607926841*v_R4_a_r + 18.9579191056578*v_R4_b_i + 87.173059186788*v_R4_b_r + 45.8900105086227*v_R4_c_i + 57.6366430644055*v_R4_c_r + 18.9579191056579*v_R4_n_i + 87.173059186788*v_R4_n_r + 54.0657727682604*v_R5_a_i + 105.57176931318*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r - 23.284964480954*v_R5_c_i - 24.9575997948692*v_R5_c_r - 10.2713736253513*v_R5_n_i - 39.6392229058202*v_R5_n_r
struct[0].g[65,0] = i_R4_a_i + 26.5300693004806*v_R12_a_i - 4.84676915585801*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r - 7.72144347466701*v_R12_c_i - 0.67991845328531*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r + 105.57176931318*v_R3_a_i - 54.0657727682604*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r - 24.9575997948692*v_R3_c_i + 23.284964480954*v_R3_c_r - 39.6392229058202*v_R3_n_i + 10.2713736253513*v_R3_n_r - 237.673607926841*v_R4_a_i + 112.978314692379*v_R4_a_r + 87.173059186788*v_R4_b_i - 18.9579191056578*v_R4_b_r + 57.6366430644055*v_R4_c_i - 45.8900105086227*v_R4_c_r + 87.173059186788*v_R4_n_i - 18.9579191056579*v_R4_n_r + 105.57176931318*v_R5_a_i - 54.0657727682604*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r - 24.9575997948692*v_R5_c_i + 23.284964480954*v_R5_c_r - 39.6392229058202*v_R5_n_i + 10.2713736253513*v_R5_n_r
struct[0].g[66,0] = i_R4_b_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 4.84676915585801*v_R12_b_i + 26.5300693004806*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 0.679918453285308*v_R12_n_i - 7.72144347466701*v_R12_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r + 54.0657727682604*v_R3_b_i + 105.57176931318*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058201*v_R3_c_r - 23.284964480954*v_R3_n_i - 24.9575997948692*v_R3_n_r + 18.9579191056579*v_R4_a_i + 87.173059186788*v_R4_a_r - 112.978314692379*v_R4_b_i - 237.673607926841*v_R4_b_r + 18.9579191056579*v_R4_c_i + 87.173059186788*v_R4_c_r + 45.8900105086227*v_R4_n_i + 57.6366430644054*v_R4_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r + 54.0657727682604*v_R5_b_i + 105.57176931318*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058201*v_R5_c_r - 23.284964480954*v_R5_n_i - 24.9575997948692*v_R5_n_r
struct[0].g[67,0] = i_R4_b_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r + 26.5300693004806*v_R12_b_i - 4.84676915585801*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r - 7.72144347466701*v_R12_n_i - 0.679918453285308*v_R12_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r + 105.57176931318*v_R3_b_i - 54.0657727682604*v_R3_b_r - 39.6392229058201*v_R3_c_i + 10.2713736253513*v_R3_c_r - 24.9575997948692*v_R3_n_i + 23.284964480954*v_R3_n_r + 87.173059186788*v_R4_a_i - 18.9579191056579*v_R4_a_r - 237.673607926841*v_R4_b_i + 112.978314692379*v_R4_b_r + 87.173059186788*v_R4_c_i - 18.9579191056579*v_R4_c_r + 57.6366430644054*v_R4_n_i - 45.8900105086227*v_R4_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r + 105.57176931318*v_R5_b_i - 54.0657727682604*v_R5_b_r - 39.6392229058201*v_R5_c_i + 10.2713736253513*v_R5_c_r - 24.9575997948692*v_R5_n_i + 23.284964480954*v_R5_n_r
struct[0].g[68,0] = i_R4_c_r + 0.67991845328531*v_R12_a_i - 7.72144347466701*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 4.84676915585801*v_R12_c_i + 26.5300693004806*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 23.284964480954*v_R3_a_i - 24.9575997948692*v_R3_a_r - 10.2713736253513*v_R3_b_i - 39.6392229058202*v_R3_b_r + 54.0657727682604*v_R3_c_i + 105.57176931318*v_R3_c_r - 10.2713736253514*v_R3_n_i - 39.6392229058201*v_R3_n_r + 45.8900105086227*v_R4_a_i + 57.6366430644054*v_R4_a_r + 18.9579191056578*v_R4_b_i + 87.1730591867881*v_R4_b_r - 112.978314692379*v_R4_c_i - 237.673607926841*v_R4_c_r + 18.9579191056579*v_R4_n_i + 87.173059186788*v_R4_n_r - 23.284964480954*v_R5_a_i - 24.9575997948692*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r + 54.0657727682604*v_R5_c_i + 105.57176931318*v_R5_c_r - 10.2713736253514*v_R5_n_i - 39.6392229058201*v_R5_n_r
struct[0].g[69,0] = i_R4_c_i - 7.72144347466701*v_R12_a_i - 0.67991845328531*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r + 26.5300693004806*v_R12_c_i - 4.84676915585801*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r - 24.9575997948692*v_R3_a_i + 23.284964480954*v_R3_a_r - 39.6392229058202*v_R3_b_i + 10.2713736253513*v_R3_b_r + 105.57176931318*v_R3_c_i - 54.0657727682604*v_R3_c_r - 39.6392229058201*v_R3_n_i + 10.2713736253514*v_R3_n_r + 57.6366430644054*v_R4_a_i - 45.8900105086227*v_R4_a_r + 87.1730591867881*v_R4_b_i - 18.9579191056578*v_R4_b_r - 237.673607926841*v_R4_c_i + 112.978314692379*v_R4_c_r + 87.173059186788*v_R4_n_i - 18.9579191056579*v_R4_n_r - 24.9575997948692*v_R5_a_i + 23.284964480954*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r + 105.57176931318*v_R5_c_i - 54.0657727682604*v_R5_c_r - 39.6392229058201*v_R5_n_i + 10.2713736253514*v_R5_n_r
struct[0].g[70,0] = i_R4_n_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 0.679918453285308*v_R12_b_i - 7.72144347466701*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 4.84676915585801*v_R12_n_i + 26.5300693004806*v_R12_n_r - 10.2713736253513*v_R3_a_i - 39.6392229058202*v_R3_a_r - 23.284964480954*v_R3_b_i - 24.9575997948692*v_R3_b_r - 10.2713736253513*v_R3_c_i - 39.6392229058202*v_R3_c_r + 54.0657727682604*v_R3_n_i + 105.57176931318*v_R3_n_r + 18.9579191056578*v_R4_a_i + 87.173059186788*v_R4_a_r + 45.8900105086227*v_R4_b_i + 57.6366430644054*v_R4_b_r + 18.9579191056579*v_R4_c_i + 87.173059186788*v_R4_c_r - 112.978314692379*v_R4_n_i - 237.698607926841*v_R4_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r - 23.284964480954*v_R5_b_i - 24.9575997948692*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058202*v_R5_c_r + 54.0657727682604*v_R5_n_i + 105.57176931318*v_R5_n_r
struct[0].g[71,0] = i_R4_n_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r - 7.72144347466701*v_R12_b_i - 0.679918453285308*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r + 26.5300693004806*v_R12_n_i - 4.84676915585801*v_R12_n_r - 39.6392229058202*v_R3_a_i + 10.2713736253513*v_R3_a_r - 24.9575997948692*v_R3_b_i + 23.284964480954*v_R3_b_r - 39.6392229058202*v_R3_c_i + 10.2713736253513*v_R3_c_r + 105.57176931318*v_R3_n_i - 54.0657727682604*v_R3_n_r + 87.173059186788*v_R4_a_i - 18.9579191056578*v_R4_a_r + 57.6366430644054*v_R4_b_i - 45.8900105086227*v_R4_b_r + 87.173059186788*v_R4_c_i - 18.9579191056579*v_R4_c_r - 237.698607926841*v_R4_n_i + 112.978314692379*v_R4_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r - 24.9575997948692*v_R5_b_i + 23.284964480954*v_R5_b_r - 39.6392229058202*v_R5_c_i + 10.2713736253513*v_R5_c_r + 105.57176931318*v_R5_n_i - 54.0657727682604*v_R5_n_r
struct[0].g[72,0] = i_R5_a_r + 54.0657727682604*v_R4_a_i + 105.57176931318*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r - 23.284964480954*v_R4_c_i - 24.9575997948692*v_R4_c_r - 10.2713736253513*v_R4_n_i - 39.6392229058202*v_R4_n_r - 108.131545536521*v_R5_a_i - 211.14353862636*v_R5_a_r + 20.5427472507027*v_R5_b_i + 79.2784458116403*v_R5_b_r + 46.569928961908*v_R5_c_i + 49.9151995897384*v_R5_c_r + 20.5427472507027*v_R5_n_i + 79.2784458116403*v_R5_n_r + 54.0657727682604*v_R6_a_i + 105.57176931318*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r - 23.284964480954*v_R6_c_i - 24.9575997948692*v_R6_c_r - 10.2713736253513*v_R6_n_i - 39.6392229058202*v_R6_n_r
struct[0].g[73,0] = i_R5_a_i + 105.57176931318*v_R4_a_i - 54.0657727682604*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r - 24.9575997948692*v_R4_c_i + 23.284964480954*v_R4_c_r - 39.6392229058202*v_R4_n_i + 10.2713736253513*v_R4_n_r - 211.14353862636*v_R5_a_i + 108.131545536521*v_R5_a_r + 79.2784458116403*v_R5_b_i - 20.5427472507027*v_R5_b_r + 49.9151995897384*v_R5_c_i - 46.569928961908*v_R5_c_r + 79.2784458116403*v_R5_n_i - 20.5427472507027*v_R5_n_r + 105.57176931318*v_R6_a_i - 54.0657727682604*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r - 24.9575997948692*v_R6_c_i + 23.284964480954*v_R6_c_r - 39.6392229058202*v_R6_n_i + 10.2713736253513*v_R6_n_r
struct[0].g[74,0] = i_R5_b_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r + 54.0657727682604*v_R4_b_i + 105.57176931318*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058201*v_R4_c_r - 23.284964480954*v_R4_n_i - 24.9575997948692*v_R4_n_r + 20.5427472507027*v_R5_a_i + 79.2784458116403*v_R5_a_r - 108.131545536521*v_R5_b_i - 211.14353862636*v_R5_b_r + 20.5427472507027*v_R5_c_i + 79.2784458116403*v_R5_c_r + 46.569928961908*v_R5_n_i + 49.9151995897384*v_R5_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r + 54.0657727682604*v_R6_b_i + 105.57176931318*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058201*v_R6_c_r - 23.284964480954*v_R6_n_i - 24.9575997948692*v_R6_n_r
struct[0].g[75,0] = i_R5_b_i - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r + 105.57176931318*v_R4_b_i - 54.0657727682604*v_R4_b_r - 39.6392229058201*v_R4_c_i + 10.2713736253513*v_R4_c_r - 24.9575997948692*v_R4_n_i + 23.284964480954*v_R4_n_r + 79.2784458116403*v_R5_a_i - 20.5427472507027*v_R5_a_r - 211.14353862636*v_R5_b_i + 108.131545536521*v_R5_b_r + 79.2784458116403*v_R5_c_i - 20.5427472507027*v_R5_c_r + 49.9151995897384*v_R5_n_i - 46.569928961908*v_R5_n_r - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r + 105.57176931318*v_R6_b_i - 54.0657727682604*v_R6_b_r - 39.6392229058201*v_R6_c_i + 10.2713736253513*v_R6_c_r - 24.9575997948692*v_R6_n_i + 23.284964480954*v_R6_n_r
struct[0].g[76,0] = i_R5_c_r - 23.284964480954*v_R4_a_i - 24.9575997948692*v_R4_a_r - 10.2713736253513*v_R4_b_i - 39.6392229058202*v_R4_b_r + 54.0657727682604*v_R4_c_i + 105.57176931318*v_R4_c_r - 10.2713736253514*v_R4_n_i - 39.6392229058201*v_R4_n_r + 46.569928961908*v_R5_a_i + 49.9151995897384*v_R5_a_r + 20.5427472507027*v_R5_b_i + 79.2784458116404*v_R5_b_r - 108.131545536521*v_R5_c_i - 211.14353862636*v_R5_c_r + 20.5427472507027*v_R5_n_i + 79.2784458116403*v_R5_n_r - 23.284964480954*v_R6_a_i - 24.9575997948692*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r + 54.0657727682604*v_R6_c_i + 105.57176931318*v_R6_c_r - 10.2713736253514*v_R6_n_i - 39.6392229058201*v_R6_n_r
struct[0].g[77,0] = i_R5_c_i - 24.9575997948692*v_R4_a_i + 23.284964480954*v_R4_a_r - 39.6392229058202*v_R4_b_i + 10.2713736253513*v_R4_b_r + 105.57176931318*v_R4_c_i - 54.0657727682604*v_R4_c_r - 39.6392229058201*v_R4_n_i + 10.2713736253514*v_R4_n_r + 49.9151995897384*v_R5_a_i - 46.569928961908*v_R5_a_r + 79.2784458116404*v_R5_b_i - 20.5427472507027*v_R5_b_r - 211.14353862636*v_R5_c_i + 108.131545536521*v_R5_c_r + 79.2784458116403*v_R5_n_i - 20.5427472507027*v_R5_n_r - 24.9575997948692*v_R6_a_i + 23.284964480954*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r + 105.57176931318*v_R6_c_i - 54.0657727682604*v_R6_c_r - 39.6392229058201*v_R6_n_i + 10.2713736253514*v_R6_n_r
struct[0].g[78,0] = i_R5_n_r - 10.2713736253513*v_R4_a_i - 39.6392229058202*v_R4_a_r - 23.284964480954*v_R4_b_i - 24.9575997948692*v_R4_b_r - 10.2713736253513*v_R4_c_i - 39.6392229058202*v_R4_c_r + 54.0657727682604*v_R4_n_i + 105.57176931318*v_R4_n_r + 20.5427472507027*v_R5_a_i + 79.2784458116403*v_R5_a_r + 46.569928961908*v_R5_b_i + 49.9151995897384*v_R5_b_r + 20.5427472507027*v_R5_c_i + 79.2784458116403*v_R5_c_r - 108.131545536521*v_R5_n_i - 211.14353862636*v_R5_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r - 23.284964480954*v_R6_b_i - 24.9575997948692*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058202*v_R6_c_r + 54.0657727682604*v_R6_n_i + 105.57176931318*v_R6_n_r
struct[0].g[79,0] = i_R5_n_i - 39.6392229058202*v_R4_a_i + 10.2713736253513*v_R4_a_r - 24.9575997948692*v_R4_b_i + 23.284964480954*v_R4_b_r - 39.6392229058202*v_R4_c_i + 10.2713736253513*v_R4_c_r + 105.57176931318*v_R4_n_i - 54.0657727682604*v_R4_n_r + 79.2784458116403*v_R5_a_i - 20.5427472507027*v_R5_a_r + 49.9151995897384*v_R5_b_i - 46.569928961908*v_R5_b_r + 79.2784458116403*v_R5_c_i - 20.5427472507027*v_R5_c_r - 211.14353862636*v_R5_n_i + 108.131545536521*v_R5_n_r - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r - 24.9575997948692*v_R6_b_i + 23.284964480954*v_R6_b_r - 39.6392229058202*v_R6_c_i + 10.2713736253513*v_R6_c_r + 105.57176931318*v_R6_n_i - 54.0657727682604*v_R6_n_r
struct[0].g[80,0] = i_R6_a_r + 5.65456401516768*v_R16_a_i + 30.9517475172273*v_R16_a_r + 1.84896616921897*v_R16_b_i - 9.21038227100566*v_R16_b_r + 0.793238195499529*v_R16_c_i - 9.00835072044485*v_R16_c_r + 1.84896616921897*v_R16_n_i - 9.21038227100566*v_R16_n_r + 54.0657727682604*v_R5_a_i + 105.57176931318*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r - 23.284964480954*v_R5_c_i - 24.9575997948692*v_R5_c_r - 10.2713736253513*v_R5_n_i - 39.6392229058202*v_R5_n_r - 113.786109551688*v_R6_a_i - 242.095286143588*v_R6_a_r + 18.6937810814837*v_R6_b_i + 88.488828082646*v_R6_b_r + 45.7766907664085*v_R6_c_i + 58.9235503101833*v_R6_c_r + 18.6937810814837*v_R6_n_i + 88.488828082646*v_R6_n_r + 54.0657727682604*v_R7_a_i + 105.57176931318*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r - 23.284964480954*v_R7_c_i - 24.9575997948692*v_R7_c_r - 10.2713736253513*v_R7_n_i - 39.6392229058202*v_R7_n_r
struct[0].g[81,0] = i_R6_a_i + 30.9517475172273*v_R16_a_i - 5.65456401516768*v_R16_a_r - 9.21038227100566*v_R16_b_i - 1.84896616921897*v_R16_b_r - 9.00835072044485*v_R16_c_i - 0.793238195499529*v_R16_c_r - 9.21038227100566*v_R16_n_i - 1.84896616921897*v_R16_n_r + 105.57176931318*v_R5_a_i - 54.0657727682604*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r - 24.9575997948692*v_R5_c_i + 23.284964480954*v_R5_c_r - 39.6392229058202*v_R5_n_i + 10.2713736253513*v_R5_n_r - 242.095286143588*v_R6_a_i + 113.786109551688*v_R6_a_r + 88.488828082646*v_R6_b_i - 18.6937810814837*v_R6_b_r + 58.9235503101833*v_R6_c_i - 45.7766907664085*v_R6_c_r + 88.488828082646*v_R6_n_i - 18.6937810814837*v_R6_n_r + 105.57176931318*v_R7_a_i - 54.0657727682604*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r - 24.9575997948692*v_R7_c_i + 23.284964480954*v_R7_c_r - 39.6392229058202*v_R7_n_i + 10.2713736253513*v_R7_n_r
struct[0].g[82,0] = i_R6_b_r + 1.84896616921897*v_R16_a_i - 9.21038227100566*v_R16_a_r + 5.65456401516768*v_R16_b_i + 30.9517475172273*v_R16_b_r + 1.84896616921897*v_R16_c_i - 9.21038227100566*v_R16_c_r + 0.793238195499528*v_R16_n_i - 9.00835072044485*v_R16_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r + 54.0657727682604*v_R5_b_i + 105.57176931318*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058201*v_R5_c_r - 23.284964480954*v_R5_n_i - 24.9575997948692*v_R5_n_r + 18.6937810814837*v_R6_a_i + 88.488828082646*v_R6_a_r - 113.786109551688*v_R6_b_i - 242.095286143588*v_R6_b_r + 18.6937810814837*v_R6_c_i + 88.488828082646*v_R6_c_r + 45.7766907664085*v_R6_n_i + 58.9235503101833*v_R6_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r + 54.0657727682604*v_R7_b_i + 105.57176931318*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058201*v_R7_c_r - 23.284964480954*v_R7_n_i - 24.9575997948692*v_R7_n_r
struct[0].g[83,0] = i_R6_b_i - 9.21038227100566*v_R16_a_i - 1.84896616921897*v_R16_a_r + 30.9517475172273*v_R16_b_i - 5.65456401516768*v_R16_b_r - 9.21038227100566*v_R16_c_i - 1.84896616921897*v_R16_c_r - 9.00835072044485*v_R16_n_i - 0.793238195499528*v_R16_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r + 105.57176931318*v_R5_b_i - 54.0657727682604*v_R5_b_r - 39.6392229058201*v_R5_c_i + 10.2713736253513*v_R5_c_r - 24.9575997948692*v_R5_n_i + 23.284964480954*v_R5_n_r + 88.488828082646*v_R6_a_i - 18.6937810814837*v_R6_a_r - 242.095286143588*v_R6_b_i + 113.786109551688*v_R6_b_r + 88.488828082646*v_R6_c_i - 18.6937810814837*v_R6_c_r + 58.9235503101833*v_R6_n_i - 45.7766907664085*v_R6_n_r - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r + 105.57176931318*v_R7_b_i - 54.0657727682604*v_R7_b_r - 39.6392229058201*v_R7_c_i + 10.2713736253513*v_R7_c_r - 24.9575997948692*v_R7_n_i + 23.284964480954*v_R7_n_r
struct[0].g[84,0] = i_R6_c_r + 0.793238195499527*v_R16_a_i - 9.00835072044484*v_R16_a_r + 1.84896616921897*v_R16_b_i - 9.21038227100566*v_R16_b_r + 5.65456401516768*v_R16_c_i + 30.9517475172273*v_R16_c_r + 1.84896616921897*v_R16_n_i - 9.21038227100566*v_R16_n_r - 23.284964480954*v_R5_a_i - 24.9575997948692*v_R5_a_r - 10.2713736253513*v_R5_b_i - 39.6392229058202*v_R5_b_r + 54.0657727682604*v_R5_c_i + 105.57176931318*v_R5_c_r - 10.2713736253514*v_R5_n_i - 39.6392229058201*v_R5_n_r + 45.7766907664085*v_R6_a_i + 58.9235503101833*v_R6_a_r + 18.6937810814837*v_R6_b_i + 88.4888280826461*v_R6_b_r - 113.786109551688*v_R6_c_i - 242.095286143588*v_R6_c_r + 18.6937810814837*v_R6_n_i + 88.4888280826459*v_R6_n_r - 23.284964480954*v_R7_a_i - 24.9575997948692*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r + 54.0657727682604*v_R7_c_i + 105.57176931318*v_R7_c_r - 10.2713736253514*v_R7_n_i - 39.6392229058201*v_R7_n_r
struct[0].g[85,0] = i_R6_c_i - 9.00835072044484*v_R16_a_i - 0.793238195499527*v_R16_a_r - 9.21038227100566*v_R16_b_i - 1.84896616921897*v_R16_b_r + 30.9517475172273*v_R16_c_i - 5.65456401516768*v_R16_c_r - 9.21038227100566*v_R16_n_i - 1.84896616921897*v_R16_n_r - 24.9575997948692*v_R5_a_i + 23.284964480954*v_R5_a_r - 39.6392229058202*v_R5_b_i + 10.2713736253513*v_R5_b_r + 105.57176931318*v_R5_c_i - 54.0657727682604*v_R5_c_r - 39.6392229058201*v_R5_n_i + 10.2713736253514*v_R5_n_r + 58.9235503101833*v_R6_a_i - 45.7766907664085*v_R6_a_r + 88.4888280826461*v_R6_b_i - 18.6937810814837*v_R6_b_r - 242.095286143588*v_R6_c_i + 113.786109551688*v_R6_c_r + 88.4888280826459*v_R6_n_i - 18.6937810814837*v_R6_n_r - 24.9575997948692*v_R7_a_i + 23.284964480954*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r + 105.57176931318*v_R7_c_i - 54.0657727682604*v_R7_c_r - 39.6392229058201*v_R7_n_i + 10.2713736253514*v_R7_n_r
struct[0].g[86,0] = i_R6_n_r + 1.84896616921897*v_R16_a_i - 9.21038227100566*v_R16_a_r + 0.793238195499527*v_R16_b_i - 9.00835072044485*v_R16_b_r + 1.84896616921897*v_R16_c_i - 9.21038227100566*v_R16_c_r + 5.65456401516768*v_R16_n_i + 30.9517475172273*v_R16_n_r - 10.2713736253513*v_R5_a_i - 39.6392229058202*v_R5_a_r - 23.284964480954*v_R5_b_i - 24.9575997948692*v_R5_b_r - 10.2713736253513*v_R5_c_i - 39.6392229058202*v_R5_c_r + 54.0657727682604*v_R5_n_i + 105.57176931318*v_R5_n_r + 18.6937810814837*v_R6_a_i + 88.488828082646*v_R6_a_r + 45.7766907664085*v_R6_b_i + 58.9235503101832*v_R6_b_r + 18.6937810814837*v_R6_c_i + 88.488828082646*v_R6_c_r - 113.786109551688*v_R6_n_i - 242.120286143588*v_R6_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r - 23.284964480954*v_R7_b_i - 24.9575997948692*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058202*v_R7_c_r + 54.0657727682604*v_R7_n_i + 105.57176931318*v_R7_n_r
struct[0].g[87,0] = i_R6_n_i - 9.21038227100566*v_R16_a_i - 1.84896616921897*v_R16_a_r - 9.00835072044485*v_R16_b_i - 0.793238195499527*v_R16_b_r - 9.21038227100566*v_R16_c_i - 1.84896616921897*v_R16_c_r + 30.9517475172273*v_R16_n_i - 5.65456401516768*v_R16_n_r - 39.6392229058202*v_R5_a_i + 10.2713736253513*v_R5_a_r - 24.9575997948692*v_R5_b_i + 23.284964480954*v_R5_b_r - 39.6392229058202*v_R5_c_i + 10.2713736253513*v_R5_c_r + 105.57176931318*v_R5_n_i - 54.0657727682604*v_R5_n_r + 88.488828082646*v_R6_a_i - 18.6937810814837*v_R6_a_r + 58.9235503101832*v_R6_b_i - 45.7766907664085*v_R6_b_r + 88.488828082646*v_R6_c_i - 18.6937810814837*v_R6_c_r - 242.120286143588*v_R6_n_i + 113.786109551688*v_R6_n_r - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r - 24.9575997948692*v_R7_b_i + 23.284964480954*v_R7_b_r - 39.6392229058202*v_R7_c_i + 10.2713736253513*v_R7_c_r + 105.57176931318*v_R7_n_i - 54.0657727682604*v_R7_n_r
struct[0].g[88,0] = i_R7_a_r + 54.0657727682604*v_R6_a_i + 105.57176931318*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r - 23.284964480954*v_R6_c_i - 24.9575997948692*v_R6_c_r - 10.2713736253513*v_R6_n_i - 39.6392229058202*v_R6_n_r - 108.131545536521*v_R7_a_i - 211.14353862636*v_R7_a_r + 20.5427472507027*v_R7_b_i + 79.2784458116403*v_R7_b_r + 46.569928961908*v_R7_c_i + 49.9151995897384*v_R7_c_r + 20.5427472507027*v_R7_n_i + 79.2784458116403*v_R7_n_r + 54.0657727682604*v_R8_a_i + 105.57176931318*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r - 23.284964480954*v_R8_c_i - 24.9575997948692*v_R8_c_r - 10.2713736253513*v_R8_n_i - 39.6392229058202*v_R8_n_r
struct[0].g[89,0] = i_R7_a_i + 105.57176931318*v_R6_a_i - 54.0657727682604*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r - 24.9575997948692*v_R6_c_i + 23.284964480954*v_R6_c_r - 39.6392229058202*v_R6_n_i + 10.2713736253513*v_R6_n_r - 211.14353862636*v_R7_a_i + 108.131545536521*v_R7_a_r + 79.2784458116403*v_R7_b_i - 20.5427472507027*v_R7_b_r + 49.9151995897384*v_R7_c_i - 46.569928961908*v_R7_c_r + 79.2784458116403*v_R7_n_i - 20.5427472507027*v_R7_n_r + 105.57176931318*v_R8_a_i - 54.0657727682604*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r - 24.9575997948692*v_R8_c_i + 23.284964480954*v_R8_c_r - 39.6392229058202*v_R8_n_i + 10.2713736253513*v_R8_n_r
struct[0].g[90,0] = i_R7_b_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r + 54.0657727682604*v_R6_b_i + 105.57176931318*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058201*v_R6_c_r - 23.284964480954*v_R6_n_i - 24.9575997948692*v_R6_n_r + 20.5427472507027*v_R7_a_i + 79.2784458116403*v_R7_a_r - 108.131545536521*v_R7_b_i - 211.14353862636*v_R7_b_r + 20.5427472507027*v_R7_c_i + 79.2784458116403*v_R7_c_r + 46.569928961908*v_R7_n_i + 49.9151995897384*v_R7_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r + 54.0657727682604*v_R8_b_i + 105.57176931318*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058201*v_R8_c_r - 23.284964480954*v_R8_n_i - 24.9575997948692*v_R8_n_r
struct[0].g[91,0] = i_R7_b_i - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r + 105.57176931318*v_R6_b_i - 54.0657727682604*v_R6_b_r - 39.6392229058201*v_R6_c_i + 10.2713736253513*v_R6_c_r - 24.9575997948692*v_R6_n_i + 23.284964480954*v_R6_n_r + 79.2784458116403*v_R7_a_i - 20.5427472507027*v_R7_a_r - 211.14353862636*v_R7_b_i + 108.131545536521*v_R7_b_r + 79.2784458116403*v_R7_c_i - 20.5427472507027*v_R7_c_r + 49.9151995897384*v_R7_n_i - 46.569928961908*v_R7_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r + 105.57176931318*v_R8_b_i - 54.0657727682604*v_R8_b_r - 39.6392229058201*v_R8_c_i + 10.2713736253513*v_R8_c_r - 24.9575997948692*v_R8_n_i + 23.284964480954*v_R8_n_r
struct[0].g[92,0] = i_R7_c_r - 23.284964480954*v_R6_a_i - 24.9575997948692*v_R6_a_r - 10.2713736253513*v_R6_b_i - 39.6392229058202*v_R6_b_r + 54.0657727682604*v_R6_c_i + 105.57176931318*v_R6_c_r - 10.2713736253514*v_R6_n_i - 39.6392229058201*v_R6_n_r + 46.569928961908*v_R7_a_i + 49.9151995897384*v_R7_a_r + 20.5427472507027*v_R7_b_i + 79.2784458116404*v_R7_b_r - 108.131545536521*v_R7_c_i - 211.14353862636*v_R7_c_r + 20.5427472507027*v_R7_n_i + 79.2784458116403*v_R7_n_r - 23.284964480954*v_R8_a_i - 24.9575997948692*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r + 54.0657727682604*v_R8_c_i + 105.57176931318*v_R8_c_r - 10.2713736253514*v_R8_n_i - 39.6392229058201*v_R8_n_r
struct[0].g[93,0] = i_R7_c_i - 24.9575997948692*v_R6_a_i + 23.284964480954*v_R6_a_r - 39.6392229058202*v_R6_b_i + 10.2713736253513*v_R6_b_r + 105.57176931318*v_R6_c_i - 54.0657727682604*v_R6_c_r - 39.6392229058201*v_R6_n_i + 10.2713736253514*v_R6_n_r + 49.9151995897384*v_R7_a_i - 46.569928961908*v_R7_a_r + 79.2784458116404*v_R7_b_i - 20.5427472507027*v_R7_b_r - 211.14353862636*v_R7_c_i + 108.131545536521*v_R7_c_r + 79.2784458116403*v_R7_n_i - 20.5427472507027*v_R7_n_r - 24.9575997948692*v_R8_a_i + 23.284964480954*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r + 105.57176931318*v_R8_c_i - 54.0657727682604*v_R8_c_r - 39.6392229058201*v_R8_n_i + 10.2713736253514*v_R8_n_r
struct[0].g[94,0] = i_R7_n_r - 10.2713736253513*v_R6_a_i - 39.6392229058202*v_R6_a_r - 23.284964480954*v_R6_b_i - 24.9575997948692*v_R6_b_r - 10.2713736253513*v_R6_c_i - 39.6392229058202*v_R6_c_r + 54.0657727682604*v_R6_n_i + 105.57176931318*v_R6_n_r + 20.5427472507027*v_R7_a_i + 79.2784458116403*v_R7_a_r + 46.569928961908*v_R7_b_i + 49.9151995897384*v_R7_b_r + 20.5427472507027*v_R7_c_i + 79.2784458116403*v_R7_c_r - 108.131545536521*v_R7_n_i - 211.14353862636*v_R7_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r - 23.284964480954*v_R8_b_i - 24.9575997948692*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058202*v_R8_c_r + 54.0657727682604*v_R8_n_i + 105.57176931318*v_R8_n_r
struct[0].g[95,0] = i_R7_n_i - 39.6392229058202*v_R6_a_i + 10.2713736253513*v_R6_a_r - 24.9575997948692*v_R6_b_i + 23.284964480954*v_R6_b_r - 39.6392229058202*v_R6_c_i + 10.2713736253513*v_R6_c_r + 105.57176931318*v_R6_n_i - 54.0657727682604*v_R6_n_r + 79.2784458116403*v_R7_a_i - 20.5427472507027*v_R7_a_r + 49.9151995897384*v_R7_b_i - 46.569928961908*v_R7_b_r + 79.2784458116403*v_R7_c_i - 20.5427472507027*v_R7_c_r - 211.14353862636*v_R7_n_i + 108.131545536521*v_R7_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r - 24.9575997948692*v_R8_b_i + 23.284964480954*v_R8_b_r - 39.6392229058202*v_R8_c_i + 10.2713736253513*v_R8_c_r + 105.57176931318*v_R8_n_i - 54.0657727682604*v_R8_n_r
struct[0].g[96,0] = i_R8_a_r + 54.0657727682604*v_R7_a_i + 105.57176931318*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r - 23.284964480954*v_R7_c_i - 24.9575997948692*v_R7_c_r - 10.2713736253513*v_R7_n_i - 39.6392229058202*v_R7_n_r - 108.131545536521*v_R8_a_i - 211.14353862636*v_R8_a_r + 20.5427472507027*v_R8_b_i + 79.2784458116403*v_R8_b_r + 46.569928961908*v_R8_c_i + 49.9151995897384*v_R8_c_r + 20.5427472507027*v_R8_n_i + 79.2784458116403*v_R8_n_r + 54.0657727682604*v_R9_a_i + 105.57176931318*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r - 23.284964480954*v_R9_c_i - 24.9575997948692*v_R9_c_r - 10.2713736253513*v_R9_n_i - 39.6392229058202*v_R9_n_r
struct[0].g[97,0] = i_R8_a_i + 105.57176931318*v_R7_a_i - 54.0657727682604*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r - 24.9575997948692*v_R7_c_i + 23.284964480954*v_R7_c_r - 39.6392229058202*v_R7_n_i + 10.2713736253513*v_R7_n_r - 211.14353862636*v_R8_a_i + 108.131545536521*v_R8_a_r + 79.2784458116403*v_R8_b_i - 20.5427472507027*v_R8_b_r + 49.9151995897384*v_R8_c_i - 46.569928961908*v_R8_c_r + 79.2784458116403*v_R8_n_i - 20.5427472507027*v_R8_n_r + 105.57176931318*v_R9_a_i - 54.0657727682604*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r - 24.9575997948692*v_R9_c_i + 23.284964480954*v_R9_c_r - 39.6392229058202*v_R9_n_i + 10.2713736253513*v_R9_n_r
struct[0].g[98,0] = i_R8_b_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r + 54.0657727682604*v_R7_b_i + 105.57176931318*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058201*v_R7_c_r - 23.284964480954*v_R7_n_i - 24.9575997948692*v_R7_n_r + 20.5427472507027*v_R8_a_i + 79.2784458116403*v_R8_a_r - 108.131545536521*v_R8_b_i - 211.14353862636*v_R8_b_r + 20.5427472507027*v_R8_c_i + 79.2784458116403*v_R8_c_r + 46.569928961908*v_R8_n_i + 49.9151995897384*v_R8_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r + 54.0657727682604*v_R9_b_i + 105.57176931318*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058201*v_R9_c_r - 23.284964480954*v_R9_n_i - 24.9575997948692*v_R9_n_r
struct[0].g[99,0] = i_R8_b_i - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r + 105.57176931318*v_R7_b_i - 54.0657727682604*v_R7_b_r - 39.6392229058201*v_R7_c_i + 10.2713736253513*v_R7_c_r - 24.9575997948692*v_R7_n_i + 23.284964480954*v_R7_n_r + 79.2784458116403*v_R8_a_i - 20.5427472507027*v_R8_a_r - 211.14353862636*v_R8_b_i + 108.131545536521*v_R8_b_r + 79.2784458116403*v_R8_c_i - 20.5427472507027*v_R8_c_r + 49.9151995897384*v_R8_n_i - 46.569928961908*v_R8_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r + 105.57176931318*v_R9_b_i - 54.0657727682604*v_R9_b_r - 39.6392229058201*v_R9_c_i + 10.2713736253513*v_R9_c_r - 24.9575997948692*v_R9_n_i + 23.284964480954*v_R9_n_r
struct[0].g[100,0] = i_R8_c_r - 23.284964480954*v_R7_a_i - 24.9575997948692*v_R7_a_r - 10.2713736253513*v_R7_b_i - 39.6392229058202*v_R7_b_r + 54.0657727682604*v_R7_c_i + 105.57176931318*v_R7_c_r - 10.2713736253514*v_R7_n_i - 39.6392229058201*v_R7_n_r + 46.569928961908*v_R8_a_i + 49.9151995897384*v_R8_a_r + 20.5427472507027*v_R8_b_i + 79.2784458116404*v_R8_b_r - 108.131545536521*v_R8_c_i - 211.14353862636*v_R8_c_r + 20.5427472507027*v_R8_n_i + 79.2784458116403*v_R8_n_r - 23.284964480954*v_R9_a_i - 24.9575997948692*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r + 54.0657727682604*v_R9_c_i + 105.57176931318*v_R9_c_r - 10.2713736253514*v_R9_n_i - 39.6392229058201*v_R9_n_r
struct[0].g[101,0] = i_R8_c_i - 24.9575997948692*v_R7_a_i + 23.284964480954*v_R7_a_r - 39.6392229058202*v_R7_b_i + 10.2713736253513*v_R7_b_r + 105.57176931318*v_R7_c_i - 54.0657727682604*v_R7_c_r - 39.6392229058201*v_R7_n_i + 10.2713736253514*v_R7_n_r + 49.9151995897384*v_R8_a_i - 46.569928961908*v_R8_a_r + 79.2784458116404*v_R8_b_i - 20.5427472507027*v_R8_b_r - 211.14353862636*v_R8_c_i + 108.131545536521*v_R8_c_r + 79.2784458116403*v_R8_n_i - 20.5427472507027*v_R8_n_r - 24.9575997948692*v_R9_a_i + 23.284964480954*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r + 105.57176931318*v_R9_c_i - 54.0657727682604*v_R9_c_r - 39.6392229058201*v_R9_n_i + 10.2713736253514*v_R9_n_r
struct[0].g[102,0] = i_R8_n_r - 10.2713736253513*v_R7_a_i - 39.6392229058202*v_R7_a_r - 23.284964480954*v_R7_b_i - 24.9575997948692*v_R7_b_r - 10.2713736253513*v_R7_c_i - 39.6392229058202*v_R7_c_r + 54.0657727682604*v_R7_n_i + 105.57176931318*v_R7_n_r + 20.5427472507027*v_R8_a_i + 79.2784458116403*v_R8_a_r + 46.569928961908*v_R8_b_i + 49.9151995897384*v_R8_b_r + 20.5427472507027*v_R8_c_i + 79.2784458116403*v_R8_c_r - 108.131545536521*v_R8_n_i - 211.16853862636*v_R8_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r - 23.284964480954*v_R9_b_i - 24.9575997948692*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058202*v_R9_c_r + 54.0657727682604*v_R9_n_i + 105.57176931318*v_R9_n_r
struct[0].g[103,0] = i_R8_n_i - 39.6392229058202*v_R7_a_i + 10.2713736253513*v_R7_a_r - 24.9575997948692*v_R7_b_i + 23.284964480954*v_R7_b_r - 39.6392229058202*v_R7_c_i + 10.2713736253513*v_R7_c_r + 105.57176931318*v_R7_n_i - 54.0657727682604*v_R7_n_r + 79.2784458116403*v_R8_a_i - 20.5427472507027*v_R8_a_r + 49.9151995897384*v_R8_b_i - 46.569928961908*v_R8_b_r + 79.2784458116403*v_R8_c_i - 20.5427472507027*v_R8_c_r - 211.16853862636*v_R8_n_i + 108.131545536521*v_R8_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r - 24.9575997948692*v_R9_b_i + 23.284964480954*v_R9_b_r - 39.6392229058202*v_R9_c_i + 10.2713736253513*v_R9_c_r + 105.57176931318*v_R9_n_i - 54.0657727682604*v_R9_n_r
struct[0].g[104,0] = i_R9_a_r + 54.0657727682604*v_R10_a_i + 105.57176931318*v_R10_a_r - 10.2713736253513*v_R10_b_i - 39.6392229058202*v_R10_b_r - 23.284964480954*v_R10_c_i - 24.9575997948692*v_R10_c_r - 10.2713736253513*v_R10_n_i - 39.6392229058202*v_R10_n_r + 5.65456401516768*v_R17_a_i + 30.9517475172273*v_R17_a_r + 1.84896616921897*v_R17_b_i - 9.21038227100566*v_R17_b_r + 0.793238195499529*v_R17_c_i - 9.00835072044485*v_R17_c_r + 1.84896616921897*v_R17_n_i - 9.21038227100566*v_R17_n_r + 54.0657727682604*v_R8_a_i + 105.57176931318*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r - 23.284964480954*v_R8_c_i - 24.9575997948692*v_R8_c_r - 10.2713736253513*v_R8_n_i - 39.6392229058202*v_R8_n_r - 113.786109551688*v_R9_a_i - 242.095286143588*v_R9_a_r + 18.6937810814837*v_R9_b_i + 88.488828082646*v_R9_b_r + 45.7766907664085*v_R9_c_i + 58.9235503101833*v_R9_c_r + 18.6937810814837*v_R9_n_i + 88.488828082646*v_R9_n_r
struct[0].g[105,0] = i_R9_a_i + 105.57176931318*v_R10_a_i - 54.0657727682604*v_R10_a_r - 39.6392229058202*v_R10_b_i + 10.2713736253513*v_R10_b_r - 24.9575997948692*v_R10_c_i + 23.284964480954*v_R10_c_r - 39.6392229058202*v_R10_n_i + 10.2713736253513*v_R10_n_r + 30.9517475172273*v_R17_a_i - 5.65456401516768*v_R17_a_r - 9.21038227100566*v_R17_b_i - 1.84896616921897*v_R17_b_r - 9.00835072044485*v_R17_c_i - 0.793238195499529*v_R17_c_r - 9.21038227100566*v_R17_n_i - 1.84896616921897*v_R17_n_r + 105.57176931318*v_R8_a_i - 54.0657727682604*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r - 24.9575997948692*v_R8_c_i + 23.284964480954*v_R8_c_r - 39.6392229058202*v_R8_n_i + 10.2713736253513*v_R8_n_r - 242.095286143588*v_R9_a_i + 113.786109551688*v_R9_a_r + 88.488828082646*v_R9_b_i - 18.6937810814837*v_R9_b_r + 58.9235503101833*v_R9_c_i - 45.7766907664085*v_R9_c_r + 88.488828082646*v_R9_n_i - 18.6937810814837*v_R9_n_r
struct[0].g[106,0] = i_R9_b_r - 10.2713736253513*v_R10_a_i - 39.6392229058202*v_R10_a_r + 54.0657727682604*v_R10_b_i + 105.57176931318*v_R10_b_r - 10.2713736253513*v_R10_c_i - 39.6392229058201*v_R10_c_r - 23.284964480954*v_R10_n_i - 24.9575997948692*v_R10_n_r + 1.84896616921897*v_R17_a_i - 9.21038227100566*v_R17_a_r + 5.65456401516768*v_R17_b_i + 30.9517475172273*v_R17_b_r + 1.84896616921897*v_R17_c_i - 9.21038227100566*v_R17_c_r + 0.793238195499528*v_R17_n_i - 9.00835072044485*v_R17_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r + 54.0657727682604*v_R8_b_i + 105.57176931318*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058201*v_R8_c_r - 23.284964480954*v_R8_n_i - 24.9575997948692*v_R8_n_r + 18.6937810814837*v_R9_a_i + 88.488828082646*v_R9_a_r - 113.786109551688*v_R9_b_i - 242.095286143588*v_R9_b_r + 18.6937810814837*v_R9_c_i + 88.488828082646*v_R9_c_r + 45.7766907664085*v_R9_n_i + 58.9235503101833*v_R9_n_r
struct[0].g[107,0] = i_R9_b_i - 39.6392229058202*v_R10_a_i + 10.2713736253513*v_R10_a_r + 105.57176931318*v_R10_b_i - 54.0657727682604*v_R10_b_r - 39.6392229058201*v_R10_c_i + 10.2713736253513*v_R10_c_r - 24.9575997948692*v_R10_n_i + 23.284964480954*v_R10_n_r - 9.21038227100566*v_R17_a_i - 1.84896616921897*v_R17_a_r + 30.9517475172273*v_R17_b_i - 5.65456401516768*v_R17_b_r - 9.21038227100566*v_R17_c_i - 1.84896616921897*v_R17_c_r - 9.00835072044485*v_R17_n_i - 0.793238195499528*v_R17_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r + 105.57176931318*v_R8_b_i - 54.0657727682604*v_R8_b_r - 39.6392229058201*v_R8_c_i + 10.2713736253513*v_R8_c_r - 24.9575997948692*v_R8_n_i + 23.284964480954*v_R8_n_r + 88.488828082646*v_R9_a_i - 18.6937810814837*v_R9_a_r - 242.095286143588*v_R9_b_i + 113.786109551688*v_R9_b_r + 88.488828082646*v_R9_c_i - 18.6937810814837*v_R9_c_r + 58.9235503101833*v_R9_n_i - 45.7766907664085*v_R9_n_r
struct[0].g[108,0] = i_R9_c_r - 23.284964480954*v_R10_a_i - 24.9575997948692*v_R10_a_r - 10.2713736253513*v_R10_b_i - 39.6392229058202*v_R10_b_r + 54.0657727682604*v_R10_c_i + 105.57176931318*v_R10_c_r - 10.2713736253514*v_R10_n_i - 39.6392229058201*v_R10_n_r + 0.793238195499527*v_R17_a_i - 9.00835072044484*v_R17_a_r + 1.84896616921897*v_R17_b_i - 9.21038227100566*v_R17_b_r + 5.65456401516768*v_R17_c_i + 30.9517475172273*v_R17_c_r + 1.84896616921897*v_R17_n_i - 9.21038227100566*v_R17_n_r - 23.284964480954*v_R8_a_i - 24.9575997948692*v_R8_a_r - 10.2713736253513*v_R8_b_i - 39.6392229058202*v_R8_b_r + 54.0657727682604*v_R8_c_i + 105.57176931318*v_R8_c_r - 10.2713736253514*v_R8_n_i - 39.6392229058201*v_R8_n_r + 45.7766907664085*v_R9_a_i + 58.9235503101833*v_R9_a_r + 18.6937810814837*v_R9_b_i + 88.4888280826461*v_R9_b_r - 113.786109551688*v_R9_c_i - 242.095286143588*v_R9_c_r + 18.6937810814837*v_R9_n_i + 88.4888280826459*v_R9_n_r
struct[0].g[109,0] = i_R9_c_i - 24.9575997948692*v_R10_a_i + 23.284964480954*v_R10_a_r - 39.6392229058202*v_R10_b_i + 10.2713736253513*v_R10_b_r + 105.57176931318*v_R10_c_i - 54.0657727682604*v_R10_c_r - 39.6392229058201*v_R10_n_i + 10.2713736253514*v_R10_n_r - 9.00835072044484*v_R17_a_i - 0.793238195499527*v_R17_a_r - 9.21038227100566*v_R17_b_i - 1.84896616921897*v_R17_b_r + 30.9517475172273*v_R17_c_i - 5.65456401516768*v_R17_c_r - 9.21038227100566*v_R17_n_i - 1.84896616921897*v_R17_n_r - 24.9575997948692*v_R8_a_i + 23.284964480954*v_R8_a_r - 39.6392229058202*v_R8_b_i + 10.2713736253513*v_R8_b_r + 105.57176931318*v_R8_c_i - 54.0657727682604*v_R8_c_r - 39.6392229058201*v_R8_n_i + 10.2713736253514*v_R8_n_r + 58.9235503101833*v_R9_a_i - 45.7766907664085*v_R9_a_r + 88.4888280826461*v_R9_b_i - 18.6937810814837*v_R9_b_r - 242.095286143588*v_R9_c_i + 113.786109551688*v_R9_c_r + 88.4888280826459*v_R9_n_i - 18.6937810814837*v_R9_n_r
struct[0].g[110,0] = i_R9_n_r - 10.2713736253513*v_R10_a_i - 39.6392229058202*v_R10_a_r - 23.284964480954*v_R10_b_i - 24.9575997948692*v_R10_b_r - 10.2713736253513*v_R10_c_i - 39.6392229058202*v_R10_c_r + 54.0657727682604*v_R10_n_i + 105.57176931318*v_R10_n_r + 1.84896616921897*v_R17_a_i - 9.21038227100566*v_R17_a_r + 0.793238195499527*v_R17_b_i - 9.00835072044485*v_R17_b_r + 1.84896616921897*v_R17_c_i - 9.21038227100566*v_R17_c_r + 5.65456401516768*v_R17_n_i + 30.9517475172273*v_R17_n_r - 10.2713736253513*v_R8_a_i - 39.6392229058202*v_R8_a_r - 23.284964480954*v_R8_b_i - 24.9575997948692*v_R8_b_r - 10.2713736253513*v_R8_c_i - 39.6392229058202*v_R8_c_r + 54.0657727682604*v_R8_n_i + 105.57176931318*v_R8_n_r + 18.6937810814837*v_R9_a_i + 88.488828082646*v_R9_a_r + 45.7766907664085*v_R9_b_i + 58.9235503101832*v_R9_b_r + 18.6937810814837*v_R9_c_i + 88.488828082646*v_R9_c_r - 113.786109551688*v_R9_n_i - 242.095286143588*v_R9_n_r
struct[0].g[111,0] = i_R9_n_i - 39.6392229058202*v_R10_a_i + 10.2713736253513*v_R10_a_r - 24.9575997948692*v_R10_b_i + 23.284964480954*v_R10_b_r - 39.6392229058202*v_R10_c_i + 10.2713736253513*v_R10_c_r + 105.57176931318*v_R10_n_i - 54.0657727682604*v_R10_n_r - 9.21038227100566*v_R17_a_i - 1.84896616921897*v_R17_a_r - 9.00835072044485*v_R17_b_i - 0.793238195499527*v_R17_b_r - 9.21038227100566*v_R17_c_i - 1.84896616921897*v_R17_c_r + 30.9517475172273*v_R17_n_i - 5.65456401516768*v_R17_n_r - 39.6392229058202*v_R8_a_i + 10.2713736253513*v_R8_a_r - 24.9575997948692*v_R8_b_i + 23.284964480954*v_R8_b_r - 39.6392229058202*v_R8_c_i + 10.2713736253513*v_R8_c_r + 105.57176931318*v_R8_n_i - 54.0657727682604*v_R8_n_r + 88.488828082646*v_R9_a_i - 18.6937810814837*v_R9_a_r + 58.9235503101832*v_R9_b_i - 45.7766907664085*v_R9_b_r + 88.488828082646*v_R9_c_i - 18.6937810814837*v_R9_c_r - 242.095286143588*v_R9_n_i + 113.786109551688*v_R9_n_r
struct[0].g[112,0] = i_R10_a_r - 59.7203367834281*v_R10_a_i - 136.523516830407*v_R10_a_r + 8.42240745613237*v_R10_b_i + 48.8496051768258*v_R10_b_r + 22.4917262854545*v_R10_c_i + 33.9659505153141*v_R10_c_r + 8.42240745613237*v_R10_n_i + 48.8496051768258*v_R10_n_r + 5.65456401516768*v_R18_a_i + 30.9517475172273*v_R18_a_r + 1.84896616921897*v_R18_b_i - 9.21038227100566*v_R18_b_r + 0.793238195499529*v_R18_c_i - 9.00835072044485*v_R18_c_r + 1.84896616921897*v_R18_n_i - 9.21038227100566*v_R18_n_r + 54.0657727682604*v_R9_a_i + 105.57176931318*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r - 23.284964480954*v_R9_c_i - 24.9575997948692*v_R9_c_r - 10.2713736253513*v_R9_n_i - 39.6392229058202*v_R9_n_r
struct[0].g[113,0] = i_R10_a_i - 136.523516830407*v_R10_a_i + 59.7203367834281*v_R10_a_r + 48.8496051768258*v_R10_b_i - 8.42240745613237*v_R10_b_r + 33.9659505153141*v_R10_c_i - 22.4917262854545*v_R10_c_r + 48.8496051768258*v_R10_n_i - 8.42240745613237*v_R10_n_r + 30.9517475172273*v_R18_a_i - 5.65456401516768*v_R18_a_r - 9.21038227100566*v_R18_b_i - 1.84896616921897*v_R18_b_r - 9.00835072044485*v_R18_c_i - 0.793238195499529*v_R18_c_r - 9.21038227100566*v_R18_n_i - 1.84896616921897*v_R18_n_r + 105.57176931318*v_R9_a_i - 54.0657727682604*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r - 24.9575997948692*v_R9_c_i + 23.284964480954*v_R9_c_r - 39.6392229058202*v_R9_n_i + 10.2713736253513*v_R9_n_r
struct[0].g[114,0] = i_R10_b_r + 8.42240745613237*v_R10_a_i + 48.8496051768258*v_R10_a_r - 59.720336783428*v_R10_b_i - 136.523516830407*v_R10_b_r + 8.42240745613238*v_R10_c_i + 48.8496051768258*v_R10_c_r + 22.4917262854545*v_R10_n_i + 33.9659505153141*v_R10_n_r + 1.84896616921897*v_R18_a_i - 9.21038227100566*v_R18_a_r + 5.65456401516768*v_R18_b_i + 30.9517475172273*v_R18_b_r + 1.84896616921897*v_R18_c_i - 9.21038227100566*v_R18_c_r + 0.793238195499528*v_R18_n_i - 9.00835072044485*v_R18_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r + 54.0657727682604*v_R9_b_i + 105.57176931318*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058201*v_R9_c_r - 23.284964480954*v_R9_n_i - 24.9575997948692*v_R9_n_r
struct[0].g[115,0] = i_R10_b_i + 48.8496051768258*v_R10_a_i - 8.42240745613237*v_R10_a_r - 136.523516830407*v_R10_b_i + 59.720336783428*v_R10_b_r + 48.8496051768258*v_R10_c_i - 8.42240745613238*v_R10_c_r + 33.9659505153141*v_R10_n_i - 22.4917262854545*v_R10_n_r - 9.21038227100566*v_R18_a_i - 1.84896616921897*v_R18_a_r + 30.9517475172273*v_R18_b_i - 5.65456401516768*v_R18_b_r - 9.21038227100566*v_R18_c_i - 1.84896616921897*v_R18_c_r - 9.00835072044485*v_R18_n_i - 0.793238195499528*v_R18_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r + 105.57176931318*v_R9_b_i - 54.0657727682604*v_R9_b_r - 39.6392229058201*v_R9_c_i + 10.2713736253513*v_R9_c_r - 24.9575997948692*v_R9_n_i + 23.284964480954*v_R9_n_r
struct[0].g[116,0] = i_R10_c_r + 22.4917262854545*v_R10_a_i + 33.9659505153141*v_R10_a_r + 8.42240745613236*v_R10_b_i + 48.8496051768259*v_R10_b_r - 59.7203367834281*v_R10_c_i - 136.523516830407*v_R10_c_r + 8.42240745613239*v_R10_n_i + 48.8496051768258*v_R10_n_r + 0.793238195499527*v_R18_a_i - 9.00835072044484*v_R18_a_r + 1.84896616921897*v_R18_b_i - 9.21038227100566*v_R18_b_r + 5.65456401516768*v_R18_c_i + 30.9517475172273*v_R18_c_r + 1.84896616921897*v_R18_n_i - 9.21038227100566*v_R18_n_r - 23.284964480954*v_R9_a_i - 24.9575997948692*v_R9_a_r - 10.2713736253513*v_R9_b_i - 39.6392229058202*v_R9_b_r + 54.0657727682604*v_R9_c_i + 105.57176931318*v_R9_c_r - 10.2713736253514*v_R9_n_i - 39.6392229058201*v_R9_n_r
struct[0].g[117,0] = i_R10_c_i + 33.9659505153141*v_R10_a_i - 22.4917262854545*v_R10_a_r + 48.8496051768259*v_R10_b_i - 8.42240745613236*v_R10_b_r - 136.523516830407*v_R10_c_i + 59.7203367834281*v_R10_c_r + 48.8496051768258*v_R10_n_i - 8.42240745613239*v_R10_n_r - 9.00835072044484*v_R18_a_i - 0.793238195499527*v_R18_a_r - 9.21038227100566*v_R18_b_i - 1.84896616921897*v_R18_b_r + 30.9517475172273*v_R18_c_i - 5.65456401516768*v_R18_c_r - 9.21038227100566*v_R18_n_i - 1.84896616921897*v_R18_n_r - 24.9575997948692*v_R9_a_i + 23.284964480954*v_R9_a_r - 39.6392229058202*v_R9_b_i + 10.2713736253513*v_R9_b_r + 105.57176931318*v_R9_c_i - 54.0657727682604*v_R9_c_r - 39.6392229058201*v_R9_n_i + 10.2713736253514*v_R9_n_r
struct[0].g[118,0] = i_R10_n_r + 8.42240745613237*v_R10_a_i + 48.8496051768258*v_R10_a_r + 22.4917262854545*v_R10_b_i + 33.965950515314*v_R10_b_r + 8.42240745613237*v_R10_c_i + 48.8496051768258*v_R10_c_r - 59.7203367834281*v_R10_n_i - 136.548516830407*v_R10_n_r + 1.84896616921897*v_R18_a_i - 9.21038227100566*v_R18_a_r + 0.793238195499527*v_R18_b_i - 9.00835072044485*v_R18_b_r + 1.84896616921897*v_R18_c_i - 9.21038227100566*v_R18_c_r + 5.65456401516768*v_R18_n_i + 30.9517475172273*v_R18_n_r - 10.2713736253513*v_R9_a_i - 39.6392229058202*v_R9_a_r - 23.284964480954*v_R9_b_i - 24.9575997948692*v_R9_b_r - 10.2713736253513*v_R9_c_i - 39.6392229058202*v_R9_c_r + 54.0657727682604*v_R9_n_i + 105.57176931318*v_R9_n_r
struct[0].g[119,0] = i_R10_n_i + 48.8496051768258*v_R10_a_i - 8.42240745613237*v_R10_a_r + 33.965950515314*v_R10_b_i - 22.4917262854545*v_R10_b_r + 48.8496051768258*v_R10_c_i - 8.42240745613237*v_R10_c_r - 136.548516830407*v_R10_n_i + 59.7203367834281*v_R10_n_r - 9.21038227100566*v_R18_a_i - 1.84896616921897*v_R18_a_r - 9.00835072044485*v_R18_b_i - 0.793238195499527*v_R18_b_r - 9.21038227100566*v_R18_c_i - 1.84896616921897*v_R18_c_r + 30.9517475172273*v_R18_n_i - 5.65456401516768*v_R18_n_r - 39.6392229058202*v_R9_a_i + 10.2713736253513*v_R9_a_r - 24.9575997948692*v_R9_b_i + 23.284964480954*v_R9_b_r - 39.6392229058202*v_R9_c_i + 10.2713736253513*v_R9_c_r + 105.57176931318*v_R9_n_i - 54.0657727682604*v_R9_n_r
struct[0].g[120,0] = i_R12_a_r - 9.69353831171601*v_R12_a_i - 53.0601386009611*v_R12_a_r - 3.16965629008966*v_R12_b_i + 15.7892267502954*v_R12_b_r - 1.35983690657062*v_R12_c_i + 15.442886949334*v_R12_c_r - 3.16965629008966*v_R12_n_i + 15.7892267502954*v_R12_n_r + 4.84676915585801*v_R13_a_i + 26.5300693004806*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 0.67991845328531*v_R13_c_i - 7.72144347466701*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r + 4.84676915585801*v_R4_a_i + 26.5300693004806*v_R4_a_r + 1.58482814504483*v_R4_b_i - 7.8946133751477*v_R4_b_r + 0.67991845328531*v_R4_c_i - 7.72144347466701*v_R4_c_r + 1.58482814504483*v_R4_n_i - 7.89461337514771*v_R4_n_r
struct[0].g[121,0] = i_R12_a_i - 53.0601386009611*v_R12_a_i + 9.69353831171601*v_R12_a_r + 15.7892267502954*v_R12_b_i + 3.16965629008966*v_R12_b_r + 15.442886949334*v_R12_c_i + 1.35983690657062*v_R12_c_r + 15.7892267502954*v_R12_n_i + 3.16965629008966*v_R12_n_r + 26.5300693004806*v_R13_a_i - 4.84676915585801*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r - 7.72144347466701*v_R13_c_i - 0.67991845328531*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r + 26.5300693004806*v_R4_a_i - 4.84676915585801*v_R4_a_r - 7.8946133751477*v_R4_b_i - 1.58482814504483*v_R4_b_r - 7.72144347466701*v_R4_c_i - 0.67991845328531*v_R4_c_r - 7.89461337514771*v_R4_n_i - 1.58482814504483*v_R4_n_r
struct[0].g[122,0] = i_R12_b_r - 3.16965629008966*v_R12_a_i + 15.7892267502954*v_R12_a_r - 9.69353831171602*v_R12_b_i - 53.0601386009611*v_R12_b_r - 3.16965629008967*v_R12_c_i + 15.7892267502954*v_R12_c_r - 1.35983690657062*v_R12_n_i + 15.442886949334*v_R12_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 4.84676915585801*v_R13_b_i + 26.5300693004806*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 0.679918453285308*v_R13_n_i - 7.72144347466701*v_R13_n_r + 1.58482814504483*v_R4_a_i - 7.89461337514771*v_R4_a_r + 4.84676915585801*v_R4_b_i + 26.5300693004806*v_R4_b_r + 1.58482814504483*v_R4_c_i - 7.89461337514771*v_R4_c_r + 0.679918453285308*v_R4_n_i - 7.72144347466701*v_R4_n_r
struct[0].g[123,0] = i_R12_b_i + 15.7892267502954*v_R12_a_i + 3.16965629008966*v_R12_a_r - 53.0601386009611*v_R12_b_i + 9.69353831171602*v_R12_b_r + 15.7892267502954*v_R12_c_i + 3.16965629008967*v_R12_c_r + 15.442886949334*v_R12_n_i + 1.35983690657062*v_R12_n_r - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r + 26.5300693004806*v_R13_b_i - 4.84676915585801*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r - 7.72144347466701*v_R13_n_i - 0.679918453285308*v_R13_n_r - 7.89461337514771*v_R4_a_i - 1.58482814504483*v_R4_a_r + 26.5300693004806*v_R4_b_i - 4.84676915585801*v_R4_b_r - 7.89461337514771*v_R4_c_i - 1.58482814504483*v_R4_c_r - 7.72144347466701*v_R4_n_i - 0.679918453285308*v_R4_n_r
struct[0].g[124,0] = i_R12_c_r - 1.35983690657062*v_R12_a_i + 15.442886949334*v_R12_a_r - 3.16965629008966*v_R12_b_i + 15.7892267502954*v_R12_b_r - 9.69353831171602*v_R12_c_i - 53.0601386009611*v_R12_c_r - 3.16965629008967*v_R12_n_i + 15.7892267502954*v_R12_n_r + 0.67991845328531*v_R13_a_i - 7.72144347466701*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 4.84676915585801*v_R13_c_i + 26.5300693004806*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r + 0.67991845328531*v_R4_a_i - 7.72144347466701*v_R4_a_r + 1.58482814504483*v_R4_b_i - 7.8946133751477*v_R4_b_r + 4.84676915585801*v_R4_c_i + 26.5300693004806*v_R4_c_r + 1.58482814504483*v_R4_n_i - 7.89461337514771*v_R4_n_r
struct[0].g[125,0] = i_R12_c_i + 15.442886949334*v_R12_a_i + 1.35983690657062*v_R12_a_r + 15.7892267502954*v_R12_b_i + 3.16965629008966*v_R12_b_r - 53.0601386009611*v_R12_c_i + 9.69353831171602*v_R12_c_r + 15.7892267502954*v_R12_n_i + 3.16965629008967*v_R12_n_r - 7.72144347466701*v_R13_a_i - 0.67991845328531*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r + 26.5300693004806*v_R13_c_i - 4.84676915585801*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r - 7.72144347466701*v_R4_a_i - 0.67991845328531*v_R4_a_r - 7.8946133751477*v_R4_b_i - 1.58482814504483*v_R4_b_r + 26.5300693004806*v_R4_c_i - 4.84676915585801*v_R4_c_r - 7.89461337514771*v_R4_n_i - 1.58482814504483*v_R4_n_r
struct[0].g[126,0] = i_R12_n_r - 3.16965629008966*v_R12_a_i + 15.7892267502954*v_R12_a_r - 1.35983690657062*v_R12_b_i + 15.442886949334*v_R12_b_r - 3.16965629008966*v_R12_c_i + 15.7892267502954*v_R12_c_r - 9.69353831171602*v_R12_n_i - 53.0601386009611*v_R12_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 0.679918453285308*v_R13_b_i - 7.72144347466701*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 4.84676915585801*v_R13_n_i + 26.5300693004806*v_R13_n_r + 1.58482814504483*v_R4_a_i - 7.89461337514771*v_R4_a_r + 0.679918453285308*v_R4_b_i - 7.72144347466701*v_R4_b_r + 1.58482814504483*v_R4_c_i - 7.89461337514771*v_R4_c_r + 4.84676915585801*v_R4_n_i + 26.5300693004806*v_R4_n_r
struct[0].g[127,0] = i_R12_n_i + 15.7892267502954*v_R12_a_i + 3.16965629008966*v_R12_a_r + 15.442886949334*v_R12_b_i + 1.35983690657062*v_R12_b_r + 15.7892267502954*v_R12_c_i + 3.16965629008966*v_R12_c_r - 53.0601386009611*v_R12_n_i + 9.69353831171602*v_R12_n_r - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r - 7.72144347466701*v_R13_b_i - 0.679918453285308*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r + 26.5300693004806*v_R13_n_i - 4.84676915585801*v_R13_n_r - 7.89461337514771*v_R4_a_i - 1.58482814504483*v_R4_a_r - 7.72144347466701*v_R4_b_i - 0.679918453285308*v_R4_b_r - 7.89461337514771*v_R4_c_i - 1.58482814504483*v_R4_c_r + 26.5300693004806*v_R4_n_i - 4.84676915585801*v_R4_n_r
struct[0].g[128,0] = i_R13_a_r + 4.84676915585801*v_R12_a_i + 26.5300693004806*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 0.67991845328531*v_R12_c_i - 7.72144347466701*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 9.69353831171601*v_R13_a_i - 53.0601386009611*v_R13_a_r - 3.16965629008966*v_R13_b_i + 15.7892267502954*v_R13_b_r - 1.35983690657062*v_R13_c_i + 15.442886949334*v_R13_c_r - 3.16965629008966*v_R13_n_i + 15.7892267502954*v_R13_n_r + 4.84676915585801*v_R14_a_i + 26.5300693004806*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 0.67991845328531*v_R14_c_i - 7.72144347466701*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r
struct[0].g[129,0] = i_R13_a_i + 26.5300693004806*v_R12_a_i - 4.84676915585801*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r - 7.72144347466701*v_R12_c_i - 0.67991845328531*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r - 53.0601386009611*v_R13_a_i + 9.69353831171601*v_R13_a_r + 15.7892267502954*v_R13_b_i + 3.16965629008966*v_R13_b_r + 15.442886949334*v_R13_c_i + 1.35983690657062*v_R13_c_r + 15.7892267502954*v_R13_n_i + 3.16965629008966*v_R13_n_r + 26.5300693004806*v_R14_a_i - 4.84676915585801*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r - 7.72144347466701*v_R14_c_i - 0.67991845328531*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r
struct[0].g[130,0] = i_R13_b_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 4.84676915585801*v_R12_b_i + 26.5300693004806*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 0.679918453285308*v_R12_n_i - 7.72144347466701*v_R12_n_r - 3.16965629008966*v_R13_a_i + 15.7892267502954*v_R13_a_r - 9.69353831171602*v_R13_b_i - 53.0601386009611*v_R13_b_r - 3.16965629008967*v_R13_c_i + 15.7892267502954*v_R13_c_r - 1.35983690657062*v_R13_n_i + 15.442886949334*v_R13_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 4.84676915585801*v_R14_b_i + 26.5300693004806*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 0.679918453285308*v_R14_n_i - 7.72144347466701*v_R14_n_r
struct[0].g[131,0] = i_R13_b_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r + 26.5300693004806*v_R12_b_i - 4.84676915585801*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r - 7.72144347466701*v_R12_n_i - 0.679918453285308*v_R12_n_r + 15.7892267502954*v_R13_a_i + 3.16965629008966*v_R13_a_r - 53.0601386009611*v_R13_b_i + 9.69353831171602*v_R13_b_r + 15.7892267502954*v_R13_c_i + 3.16965629008967*v_R13_c_r + 15.442886949334*v_R13_n_i + 1.35983690657062*v_R13_n_r - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r + 26.5300693004806*v_R14_b_i - 4.84676915585801*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r - 7.72144347466701*v_R14_n_i - 0.679918453285308*v_R14_n_r
struct[0].g[132,0] = i_R13_c_r + 0.67991845328531*v_R12_a_i - 7.72144347466701*v_R12_a_r + 1.58482814504483*v_R12_b_i - 7.8946133751477*v_R12_b_r + 4.84676915585801*v_R12_c_i + 26.5300693004806*v_R12_c_r + 1.58482814504483*v_R12_n_i - 7.89461337514771*v_R12_n_r - 1.35983690657062*v_R13_a_i + 15.442886949334*v_R13_a_r - 3.16965629008966*v_R13_b_i + 15.7892267502954*v_R13_b_r - 9.69353831171602*v_R13_c_i - 53.0601386009611*v_R13_c_r - 3.16965629008967*v_R13_n_i + 15.7892267502954*v_R13_n_r + 0.67991845328531*v_R14_a_i - 7.72144347466701*v_R14_a_r + 1.58482814504483*v_R14_b_i - 7.8946133751477*v_R14_b_r + 4.84676915585801*v_R14_c_i + 26.5300693004806*v_R14_c_r + 1.58482814504483*v_R14_n_i - 7.89461337514771*v_R14_n_r
struct[0].g[133,0] = i_R13_c_i - 7.72144347466701*v_R12_a_i - 0.67991845328531*v_R12_a_r - 7.8946133751477*v_R12_b_i - 1.58482814504483*v_R12_b_r + 26.5300693004806*v_R12_c_i - 4.84676915585801*v_R12_c_r - 7.89461337514771*v_R12_n_i - 1.58482814504483*v_R12_n_r + 15.442886949334*v_R13_a_i + 1.35983690657062*v_R13_a_r + 15.7892267502954*v_R13_b_i + 3.16965629008966*v_R13_b_r - 53.0601386009611*v_R13_c_i + 9.69353831171602*v_R13_c_r + 15.7892267502954*v_R13_n_i + 3.16965629008967*v_R13_n_r - 7.72144347466701*v_R14_a_i - 0.67991845328531*v_R14_a_r - 7.8946133751477*v_R14_b_i - 1.58482814504483*v_R14_b_r + 26.5300693004806*v_R14_c_i - 4.84676915585801*v_R14_c_r - 7.89461337514771*v_R14_n_i - 1.58482814504483*v_R14_n_r
struct[0].g[134,0] = i_R13_n_r + 1.58482814504483*v_R12_a_i - 7.89461337514771*v_R12_a_r + 0.679918453285308*v_R12_b_i - 7.72144347466701*v_R12_b_r + 1.58482814504483*v_R12_c_i - 7.89461337514771*v_R12_c_r + 4.84676915585801*v_R12_n_i + 26.5300693004806*v_R12_n_r - 3.16965629008966*v_R13_a_i + 15.7892267502954*v_R13_a_r - 1.35983690657062*v_R13_b_i + 15.442886949334*v_R13_b_r - 3.16965629008966*v_R13_c_i + 15.7892267502954*v_R13_c_r - 9.69353831171602*v_R13_n_i - 53.0851386009611*v_R13_n_r + 1.58482814504483*v_R14_a_i - 7.89461337514771*v_R14_a_r + 0.679918453285308*v_R14_b_i - 7.72144347466701*v_R14_b_r + 1.58482814504483*v_R14_c_i - 7.89461337514771*v_R14_c_r + 4.84676915585801*v_R14_n_i + 26.5300693004806*v_R14_n_r
struct[0].g[135,0] = i_R13_n_i - 7.89461337514771*v_R12_a_i - 1.58482814504483*v_R12_a_r - 7.72144347466701*v_R12_b_i - 0.679918453285308*v_R12_b_r - 7.89461337514771*v_R12_c_i - 1.58482814504483*v_R12_c_r + 26.5300693004806*v_R12_n_i - 4.84676915585801*v_R12_n_r + 15.7892267502954*v_R13_a_i + 3.16965629008966*v_R13_a_r + 15.442886949334*v_R13_b_i + 1.35983690657062*v_R13_b_r + 15.7892267502954*v_R13_c_i + 3.16965629008966*v_R13_c_r - 53.0851386009611*v_R13_n_i + 9.69353831171602*v_R13_n_r - 7.89461337514771*v_R14_a_i - 1.58482814504483*v_R14_a_r - 7.72144347466701*v_R14_b_i - 0.679918453285308*v_R14_b_r - 7.89461337514771*v_R14_c_i - 1.58482814504483*v_R14_c_r + 26.5300693004806*v_R14_n_i - 4.84676915585801*v_R14_n_r
struct[0].g[136,0] = i_R14_a_r + 4.84676915585801*v_R13_a_i + 26.5300693004806*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 0.67991845328531*v_R13_c_i - 7.72144347466701*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r - 9.69353831171601*v_R14_a_i - 53.0601386009611*v_R14_a_r - 3.16965629008966*v_R14_b_i + 15.7892267502954*v_R14_b_r - 1.35983690657062*v_R14_c_i + 15.442886949334*v_R14_c_r - 3.16965629008966*v_R14_n_i + 15.7892267502954*v_R14_n_r + 4.84676915585801*v_R15_a_i + 26.5300693004806*v_R15_a_r + 1.58482814504483*v_R15_b_i - 7.8946133751477*v_R15_b_r + 0.67991845328531*v_R15_c_i - 7.72144347466701*v_R15_c_r + 1.58482814504483*v_R15_n_i - 7.89461337514771*v_R15_n_r
struct[0].g[137,0] = i_R14_a_i + 26.5300693004806*v_R13_a_i - 4.84676915585801*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r - 7.72144347466701*v_R13_c_i - 0.67991845328531*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r - 53.0601386009611*v_R14_a_i + 9.69353831171601*v_R14_a_r + 15.7892267502954*v_R14_b_i + 3.16965629008966*v_R14_b_r + 15.442886949334*v_R14_c_i + 1.35983690657062*v_R14_c_r + 15.7892267502954*v_R14_n_i + 3.16965629008966*v_R14_n_r + 26.5300693004806*v_R15_a_i - 4.84676915585801*v_R15_a_r - 7.8946133751477*v_R15_b_i - 1.58482814504483*v_R15_b_r - 7.72144347466701*v_R15_c_i - 0.67991845328531*v_R15_c_r - 7.89461337514771*v_R15_n_i - 1.58482814504483*v_R15_n_r
struct[0].g[138,0] = i_R14_b_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 4.84676915585801*v_R13_b_i + 26.5300693004806*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 0.679918453285308*v_R13_n_i - 7.72144347466701*v_R13_n_r - 3.16965629008966*v_R14_a_i + 15.7892267502954*v_R14_a_r - 9.69353831171602*v_R14_b_i - 53.0601386009611*v_R14_b_r - 3.16965629008967*v_R14_c_i + 15.7892267502954*v_R14_c_r - 1.35983690657062*v_R14_n_i + 15.442886949334*v_R14_n_r + 1.58482814504483*v_R15_a_i - 7.89461337514771*v_R15_a_r + 4.84676915585801*v_R15_b_i + 26.5300693004806*v_R15_b_r + 1.58482814504483*v_R15_c_i - 7.89461337514771*v_R15_c_r + 0.679918453285308*v_R15_n_i - 7.72144347466701*v_R15_n_r
struct[0].g[139,0] = i_R14_b_i - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r + 26.5300693004806*v_R13_b_i - 4.84676915585801*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r - 7.72144347466701*v_R13_n_i - 0.679918453285308*v_R13_n_r + 15.7892267502954*v_R14_a_i + 3.16965629008966*v_R14_a_r - 53.0601386009611*v_R14_b_i + 9.69353831171602*v_R14_b_r + 15.7892267502954*v_R14_c_i + 3.16965629008967*v_R14_c_r + 15.442886949334*v_R14_n_i + 1.35983690657062*v_R14_n_r - 7.89461337514771*v_R15_a_i - 1.58482814504483*v_R15_a_r + 26.5300693004806*v_R15_b_i - 4.84676915585801*v_R15_b_r - 7.89461337514771*v_R15_c_i - 1.58482814504483*v_R15_c_r - 7.72144347466701*v_R15_n_i - 0.679918453285308*v_R15_n_r
struct[0].g[140,0] = i_R14_c_r + 0.67991845328531*v_R13_a_i - 7.72144347466701*v_R13_a_r + 1.58482814504483*v_R13_b_i - 7.8946133751477*v_R13_b_r + 4.84676915585801*v_R13_c_i + 26.5300693004806*v_R13_c_r + 1.58482814504483*v_R13_n_i - 7.89461337514771*v_R13_n_r - 1.35983690657062*v_R14_a_i + 15.442886949334*v_R14_a_r - 3.16965629008966*v_R14_b_i + 15.7892267502954*v_R14_b_r - 9.69353831171602*v_R14_c_i - 53.0601386009611*v_R14_c_r - 3.16965629008967*v_R14_n_i + 15.7892267502954*v_R14_n_r + 0.67991845328531*v_R15_a_i - 7.72144347466701*v_R15_a_r + 1.58482814504483*v_R15_b_i - 7.8946133751477*v_R15_b_r + 4.84676915585801*v_R15_c_i + 26.5300693004806*v_R15_c_r + 1.58482814504483*v_R15_n_i - 7.89461337514771*v_R15_n_r
struct[0].g[141,0] = i_R14_c_i - 7.72144347466701*v_R13_a_i - 0.67991845328531*v_R13_a_r - 7.8946133751477*v_R13_b_i - 1.58482814504483*v_R13_b_r + 26.5300693004806*v_R13_c_i - 4.84676915585801*v_R13_c_r - 7.89461337514771*v_R13_n_i - 1.58482814504483*v_R13_n_r + 15.442886949334*v_R14_a_i + 1.35983690657062*v_R14_a_r + 15.7892267502954*v_R14_b_i + 3.16965629008966*v_R14_b_r - 53.0601386009611*v_R14_c_i + 9.69353831171602*v_R14_c_r + 15.7892267502954*v_R14_n_i + 3.16965629008967*v_R14_n_r - 7.72144347466701*v_R15_a_i - 0.67991845328531*v_R15_a_r - 7.8946133751477*v_R15_b_i - 1.58482814504483*v_R15_b_r + 26.5300693004806*v_R15_c_i - 4.84676915585801*v_R15_c_r - 7.89461337514771*v_R15_n_i - 1.58482814504483*v_R15_n_r
struct[0].g[142,0] = i_R14_n_r + 1.58482814504483*v_R13_a_i - 7.89461337514771*v_R13_a_r + 0.679918453285308*v_R13_b_i - 7.72144347466701*v_R13_b_r + 1.58482814504483*v_R13_c_i - 7.89461337514771*v_R13_c_r + 4.84676915585801*v_R13_n_i + 26.5300693004806*v_R13_n_r - 3.16965629008966*v_R14_a_i + 15.7892267502954*v_R14_a_r - 1.35983690657062*v_R14_b_i + 15.442886949334*v_R14_b_r - 3.16965629008966*v_R14_c_i + 15.7892267502954*v_R14_c_r - 9.69353831171602*v_R14_n_i - 53.0601386009611*v_R14_n_r + 1.58482814504483*v_R15_a_i - 7.89461337514771*v_R15_a_r + 0.679918453285308*v_R15_b_i - 7.72144347466701*v_R15_b_r + 1.58482814504483*v_R15_c_i - 7.89461337514771*v_R15_c_r + 4.84676915585801*v_R15_n_i + 26.5300693004806*v_R15_n_r
struct[0].g[143,0] = i_R14_n_i - 7.89461337514771*v_R13_a_i - 1.58482814504483*v_R13_a_r - 7.72144347466701*v_R13_b_i - 0.679918453285308*v_R13_b_r - 7.89461337514771*v_R13_c_i - 1.58482814504483*v_R13_c_r + 26.5300693004806*v_R13_n_i - 4.84676915585801*v_R13_n_r + 15.7892267502954*v_R14_a_i + 3.16965629008966*v_R14_a_r + 15.442886949334*v_R14_b_i + 1.35983690657062*v_R14_b_r + 15.7892267502954*v_R14_c_i + 3.16965629008966*v_R14_c_r - 53.0601386009611*v_R14_n_i + 9.69353831171602*v_R14_n_r - 7.89461337514771*v_R15_a_i - 1.58482814504483*v_R15_a_r - 7.72144347466701*v_R15_b_i - 0.679918453285308*v_R15_b_r - 7.89461337514771*v_R15_c_i - 1.58482814504483*v_R15_c_r + 26.5300693004806*v_R15_n_i - 4.84676915585801*v_R15_n_r
struct[0].g[144,0] = i_R1_a_i*v_R1_a_i - i_R1_a_i*v_R1_n_i + i_R1_a_r*v_R1_a_r - i_R1_a_r*v_R1_n_r - p_R1_a
struct[0].g[145,0] = i_R1_b_i*v_R1_b_i - i_R1_b_i*v_R1_n_i + i_R1_b_r*v_R1_b_r - i_R1_b_r*v_R1_n_r - p_R1_b
struct[0].g[146,0] = i_R1_c_i*v_R1_c_i - i_R1_c_i*v_R1_n_i + i_R1_c_r*v_R1_c_r - i_R1_c_r*v_R1_n_r - p_R1_c
struct[0].g[147,0] = -i_R1_a_i*v_R1_a_r + i_R1_a_i*v_R1_n_r + i_R1_a_r*v_R1_a_i - i_R1_a_r*v_R1_n_i - q_R1_a
struct[0].g[148,0] = -i_R1_b_i*v_R1_b_r + i_R1_b_i*v_R1_n_r + i_R1_b_r*v_R1_b_i - i_R1_b_r*v_R1_n_i - q_R1_b
struct[0].g[149,0] = -i_R1_c_i*v_R1_c_r + i_R1_c_i*v_R1_n_r + i_R1_c_r*v_R1_c_i - i_R1_c_r*v_R1_n_i - q_R1_c
struct[0].g[150,0] = i_R1_a_r + i_R1_b_r + i_R1_c_r + i_R1_n_r
struct[0].g[151,0] = i_R1_a_i + i_R1_b_i + i_R1_c_i + i_R1_n_i
struct[0].g[152,0] = i_R11_a_i*v_R11_a_i - i_R11_a_i*v_R11_n_i + i_R11_a_r*v_R11_a_r - i_R11_a_r*v_R11_n_r - p_R11_a
struct[0].g[153,0] = i_R11_b_i*v_R11_b_i - i_R11_b_i*v_R11_n_i + i_R11_b_r*v_R11_b_r - i_R11_b_r*v_R11_n_r - p_R11_b
struct[0].g[154,0] = i_R11_c_i*v_R11_c_i - i_R11_c_i*v_R11_n_i + i_R11_c_r*v_R11_c_r - i_R11_c_r*v_R11_n_r - p_R11_c
struct[0].g[155,0] = -i_R11_a_i*v_R11_a_r + i_R11_a_i*v_R11_n_r + i_R11_a_r*v_R11_a_i - i_R11_a_r*v_R11_n_i - q_R11_a
struct[0].g[156,0] = -i_R11_b_i*v_R11_b_r + i_R11_b_i*v_R11_n_r + i_R11_b_r*v_R11_b_i - i_R11_b_r*v_R11_n_i - q_R11_b
struct[0].g[157,0] = -i_R11_c_i*v_R11_c_r + i_R11_c_i*v_R11_n_r + i_R11_c_r*v_R11_c_i - i_R11_c_r*v_R11_n_i - q_R11_c
struct[0].g[158,0] = i_R11_a_r + i_R11_b_r + i_R11_c_r + i_R11_n_r
struct[0].g[159,0] = i_R11_a_i + i_R11_b_i + i_R11_c_i + i_R11_n_i
struct[0].g[160,0] = i_R15_a_i*v_R15_a_i - i_R15_a_i*v_R15_n_i + i_R15_a_r*v_R15_a_r - i_R15_a_r*v_R15_n_r - p_R15_a
struct[0].g[161,0] = i_R15_b_i*v_R15_b_i - i_R15_b_i*v_R15_n_i + i_R15_b_r*v_R15_b_r - i_R15_b_r*v_R15_n_r - p_R15_b
struct[0].g[162,0] = i_R15_c_i*v_R15_c_i - i_R15_c_i*v_R15_n_i + i_R15_c_r*v_R15_c_r - i_R15_c_r*v_R15_n_r - p_R15_c
struct[0].g[163,0] = -i_R15_a_i*v_R15_a_r + i_R15_a_i*v_R15_n_r + i_R15_a_r*v_R15_a_i - i_R15_a_r*v_R15_n_i - q_R15_a
struct[0].g[164,0] = -i_R15_b_i*v_R15_b_r + i_R15_b_i*v_R15_n_r + i_R15_b_r*v_R15_b_i - i_R15_b_r*v_R15_n_i - q_R15_b
struct[0].g[165,0] = -i_R15_c_i*v_R15_c_r + i_R15_c_i*v_R15_n_r + i_R15_c_r*v_R15_c_i - i_R15_c_r*v_R15_n_i - q_R15_c
struct[0].g[166,0] = i_R15_a_r + i_R15_b_r + i_R15_c_r + i_R15_n_r
struct[0].g[167,0] = i_R15_a_i + i_R15_b_i + i_R15_c_i + i_R15_n_i
struct[0].g[168,0] = i_R16_a_i*v_R16_a_i - i_R16_a_i*v_R16_n_i + i_R16_a_r*v_R16_a_r - i_R16_a_r*v_R16_n_r - p_R16_a
struct[0].g[169,0] = i_R16_b_i*v_R16_b_i - i_R16_b_i*v_R16_n_i + i_R16_b_r*v_R16_b_r - i_R16_b_r*v_R16_n_r - p_R16_b
struct[0].g[170,0] = i_R16_c_i*v_R16_c_i - i_R16_c_i*v_R16_n_i + i_R16_c_r*v_R16_c_r - i_R16_c_r*v_R16_n_r - p_R16_c
struct[0].g[171,0] = -i_R16_a_i*v_R16_a_r + i_R16_a_i*v_R16_n_r + i_R16_a_r*v_R16_a_i - i_R16_a_r*v_R16_n_i - q_R16_a
struct[0].g[172,0] = -i_R16_b_i*v_R16_b_r + i_R16_b_i*v_R16_n_r + i_R16_b_r*v_R16_b_i - i_R16_b_r*v_R16_n_i - q_R16_b
struct[0].g[173,0] = -i_R16_c_i*v_R16_c_r + i_R16_c_i*v_R16_n_r + i_R16_c_r*v_R16_c_i - i_R16_c_r*v_R16_n_i - q_R16_c
struct[0].g[174,0] = i_R16_a_r + i_R16_b_r + i_R16_c_r + i_R16_n_r
struct[0].g[175,0] = i_R16_a_i + i_R16_b_i + i_R16_c_i + i_R16_n_i
struct[0].g[176,0] = i_R17_a_i*v_R17_a_i - i_R17_a_i*v_R17_n_i + i_R17_a_r*v_R17_a_r - i_R17_a_r*v_R17_n_r - p_R17_a
struct[0].g[177,0] = i_R17_b_i*v_R17_b_i - i_R17_b_i*v_R17_n_i + i_R17_b_r*v_R17_b_r - i_R17_b_r*v_R17_n_r - p_R17_b
struct[0].g[178,0] = i_R17_c_i*v_R17_c_i - i_R17_c_i*v_R17_n_i + i_R17_c_r*v_R17_c_r - i_R17_c_r*v_R17_n_r - p_R17_c
struct[0].g[179,0] = -i_R17_a_i*v_R17_a_r + i_R17_a_i*v_R17_n_r + i_R17_a_r*v_R17_a_i - i_R17_a_r*v_R17_n_i - q_R17_a
struct[0].g[180,0] = -i_R17_b_i*v_R17_b_r + i_R17_b_i*v_R17_n_r + i_R17_b_r*v_R17_b_i - i_R17_b_r*v_R17_n_i - q_R17_b
struct[0].g[181,0] = -i_R17_c_i*v_R17_c_r + i_R17_c_i*v_R17_n_r + i_R17_c_r*v_R17_c_i - i_R17_c_r*v_R17_n_i - q_R17_c
struct[0].g[182,0] = i_R17_a_r + i_R17_b_r + i_R17_c_r + i_R17_n_r
struct[0].g[183,0] = i_R17_a_i + i_R17_b_i + i_R17_c_i + i_R17_n_i
struct[0].g[184,0] = i_R18_a_i*v_R18_a_i - i_R18_a_i*v_R18_n_i + i_R18_a_r*v_R18_a_r - i_R18_a_r*v_R18_n_r - p_R18_a
struct[0].g[185,0] = i_R18_b_i*v_R18_b_i - i_R18_b_i*v_R18_n_i + i_R18_b_r*v_R18_b_r - i_R18_b_r*v_R18_n_r - p_R18_b
struct[0].g[186,0] = i_R18_c_i*v_R18_c_i - i_R18_c_i*v_R18_n_i + i_R18_c_r*v_R18_c_r - i_R18_c_r*v_R18_n_r - p_R18_c
struct[0].g[187,0] = -i_R18_a_i*v_R18_a_r + i_R18_a_i*v_R18_n_r + i_R18_a_r*v_R18_a_i - i_R18_a_r*v_R18_n_i - q_R18_a
struct[0].g[188,0] = -i_R18_b_i*v_R18_b_r + i_R18_b_i*v_R18_n_r + i_R18_b_r*v_R18_b_i - i_R18_b_r*v_R18_n_i - q_R18_b
struct[0].g[189,0] = -i_R18_c_i*v_R18_c_r + i_R18_c_i*v_R18_n_r + i_R18_c_r*v_R18_c_i - i_R18_c_r*v_R18_n_i - q_R18_c
struct[0].g[190,0] = i_R18_a_r + i_R18_b_r + i_R18_c_r + i_R18_n_r
struct[0].g[191,0] = i_R18_a_i + i_R18_b_i + i_R18_c_i + i_R18_n_i
# Outputs:
if mode == 3:
struct[0].h[0,0] = (v_R0_a_i**2 + v_R0_a_r**2)**0.5
struct[0].h[1,0] = (v_R0_b_i**2 + v_R0_b_r**2)**0.5
struct[0].h[2,0] = (v_R0_c_i**2 + v_R0_c_r**2)**0.5
struct[0].h[3,0] = (v_R1_a_i**2 + v_R1_a_r**2)**0.5
struct[0].h[4,0] = (v_R1_b_i**2 + v_R1_b_r**2)**0.5
struct[0].h[5,0] = (v_R1_c_i**2 + v_R1_c_r**2)**0.5
struct[0].h[6,0] = (v_R1_n_i**2 + v_R1_n_r**2)**0.5
struct[0].h[7,0] = (v_R11_a_i**2 + v_R11_a_r**2)**0.5
struct[0].h[8,0] = (v_R11_b_i**2 + v_R11_b_r**2)**0.5
struct[0].h[9,0] = (v_R11_c_i**2 + v_R11_c_r**2)**0.5
struct[0].h[10,0] = (v_R11_n_i**2 + v_R11_n_r**2)**0.5
struct[0].h[11,0] = (v_R15_a_i**2 + v_R15_a_r**2)**0.5
struct[0].h[12,0] = (v_R15_b_i**2 + v_R15_b_r**2)**0.5
struct[0].h[13,0] = (v_R15_c_i**2 + v_R15_c_r**2)**0.5
struct[0].h[14,0] = (v_R15_n_i**2 + v_R15_n_r**2)**0.5
struct[0].h[15,0] = (v_R16_a_i**2 + v_R16_a_r**2)**0.5
struct[0].h[16,0] = (v_R16_b_i**2 + v_R16_b_r**2)**0.5
struct[0].h[17,0] = (v_R16_c_i**2 + v_R16_c_r**2)**0.5
struct[0].h[18,0] = (v_R16_n_i**2 + v_R16_n_r**2)**0.5
struct[0].h[19,0] = (v_R17_a_i**2 + v_R17_a_r**2)**0.5
struct[0].h[20,0] = (v_R17_b_i**2 + v_R17_b_r**2)**0.5
struct[0].h[21,0] = (v_R17_c_i**2 + v_R17_c_r**2)**0.5
struct[0].h[22,0] = (v_R17_n_i**2 + v_R17_n_r**2)**0.5
struct[0].h[23,0] = (v_R18_a_i**2 + v_R18_a_r**2)**0.5
struct[0].h[24,0] = (v_R18_b_i**2 + v_R18_b_r**2)**0.5
struct[0].h[25,0] = (v_R18_c_i**2 + v_R18_c_r**2)**0.5
struct[0].h[26,0] = (v_R18_n_i**2 + v_R18_n_r**2)**0.5
struct[0].h[27,0] = (v_R2_a_i**2 + v_R2_a_r**2)**0.5
struct[0].h[28,0] = (v_R2_b_i**2 + v_R2_b_r**2)**0.5
struct[0].h[29,0] = (v_R2_c_i**2 + v_R2_c_r**2)**0.5
struct[0].h[30,0] = (v_R2_n_i**2 + v_R2_n_r**2)**0.5
struct[0].h[31,0] = (v_R3_a_i**2 + v_R3_a_r**2)**0.5
struct[0].h[32,0] = (v_R3_b_i**2 + v_R3_b_r**2)**0.5
struct[0].h[33,0] = (v_R3_c_i**2 + v_R3_c_r**2)**0.5
struct[0].h[34,0] = (v_R3_n_i**2 + v_R3_n_r**2)**0.5
struct[0].h[35,0] = (v_R4_a_i**2 + v_R4_a_r**2)**0.5
struct[0].h[36,0] = (v_R4_b_i**2 + v_R4_b_r**2)**0.5
struct[0].h[37,0] = (v_R4_c_i**2 + v_R4_c_r**2)**0.5
struct[0].h[38,0] = (v_R4_n_i**2 + v_R4_n_r**2)**0.5
struct[0].h[39,0] = (v_R5_a_i**2 + v_R5_a_r**2)**0.5
struct[0].h[40,0] = (v_R5_b_i**2 + v_R5_b_r**2)**0.5
struct[0].h[41,0] = (v_R5_c_i**2 + v_R5_c_r**2)**0.5
struct[0].h[42,0] = (v_R5_n_i**2 + v_R5_n_r**2)**0.5
struct[0].h[43,0] = (v_R6_a_i**2 + v_R6_a_r**2)**0.5
struct[0].h[44,0] = (v_R6_b_i**2 + v_R6_b_r**2)**0.5
struct[0].h[45,0] = (v_R6_c_i**2 + v_R6_c_r**2)**0.5
struct[0].h[46,0] = (v_R6_n_i**2 + v_R6_n_r**2)**0.5
struct[0].h[47,0] = (v_R7_a_i**2 + v_R7_a_r**2)**0.5
struct[0].h[48,0] = (v_R7_b_i**2 + v_R7_b_r**2)**0.5
struct[0].h[49,0] = (v_R7_c_i**2 + v_R7_c_r**2)**0.5
struct[0].h[50,0] = (v_R7_n_i**2 + v_R7_n_r**2)**0.5
struct[0].h[51,0] = (v_R8_a_i**2 + v_R8_a_r**2)**0.5
struct[0].h[52,0] = (v_R8_b_i**2 + v_R8_b_r**2)**0.5
struct[0].h[53,0] = (v_R8_c_i**2 + v_R8_c_r**2)**0.5
struct[0].h[54,0] = (v_R8_n_i**2 + v_R8_n_r**2)**0.5
struct[0].h[55,0] = (v_R9_a_i**2 + v_R9_a_r**2)**0.5
struct[0].h[56,0] = (v_R9_b_i**2 + v_R9_b_r**2)**0.5
struct[0].h[57,0] = (v_R9_c_i**2 + v_R9_c_r**2)**0.5
struct[0].h[58,0] = (v_R9_n_i**2 + v_R9_n_r**2)**0.5
struct[0].h[59,0] = (v_R10_a_i**2 + v_R10_a_r**2)**0.5
struct[0].h[60,0] = (v_R10_b_i**2 + v_R10_b_r**2)**0.5
struct[0].h[61,0] = (v_R10_c_i**2 + v_R10_c_r**2)**0.5
struct[0].h[62,0] = (v_R10_n_i**2 + v_R10_n_r**2)**0.5
struct[0].h[63,0] = (v_R12_a_i**2 + v_R12_a_r**2)**0.5
struct[0].h[64,0] = (v_R12_b_i**2 + v_R12_b_r**2)**0.5
struct[0].h[65,0] = (v_R12_c_i**2 + v_R12_c_r**2)**0.5
struct[0].h[66,0] = (v_R12_n_i**2 + v_R12_n_r**2)**0.5
struct[0].h[67,0] = (v_R13_a_i**2 + v_R13_a_r**2)**0.5
struct[0].h[68,0] = (v_R13_b_i**2 + v_R13_b_r**2)**0.5
struct[0].h[69,0] = (v_R13_c_i**2 + v_R13_c_r**2)**0.5
struct[0].h[70,0] = (v_R13_n_i**2 + v_R13_n_r**2)**0.5
struct[0].h[71,0] = (v_R14_a_i**2 + v_R14_a_r**2)**0.5
struct[0].h[72,0] = (v_R14_b_i**2 + v_R14_b_r**2)**0.5
struct[0].h[73,0] = (v_R14_c_i**2 + v_R14_c_r**2)**0.5
struct[0].h[74,0] = (v_R14_n_i**2 + v_R14_n_r**2)**0.5
if mode == 10:
struct[0].Fx[0,0] = -1
if mode == 11:
struct[0].Gy[0,0] = -122.245105314247
struct[0].Gy[0,1] = -120.759116772529
struct[0].Gy[0,2] = 39.6392229058202
struct[0].Gy[0,3] = 10.2713736253513
struct[0].Gy[0,4] = 24.9575997948692
struct[0].Gy[0,5] = 23.2849644809540
struct[0].Gy[0,6] = 56.3125589068873
struct[0].Gy[0,7] = 76.9647176296197
struct[0].Gy[0,48] = 105.571769313180
struct[0].Gy[0,49] = 54.0657727682604
struct[0].Gy[0,50] = -39.6392229058202
struct[0].Gy[0,51] = -10.2713736253513
struct[0].Gy[0,52] = -24.9575997948692
struct[0].Gy[0,53] = -23.2849644809540
struct[0].Gy[0,54] = -39.6392229058202
struct[0].Gy[0,55] = -10.2713736253513
struct[0].Gy[0,144] = 1
struct[0].Gy[1,0] = 120.759116772529
struct[0].Gy[1,1] = -122.245105314247
struct[0].Gy[1,2] = -10.2713736253513
struct[0].Gy[1,3] = 39.6392229058202
struct[0].Gy[1,4] = -23.2849644809540
struct[0].Gy[1,5] = 24.9575997948692
struct[0].Gy[1,6] = -76.9647176296197
struct[0].Gy[1,7] = 56.3125589068873
struct[0].Gy[1,48] = -54.0657727682604
struct[0].Gy[1,49] = 105.571769313180
struct[0].Gy[1,50] = 10.2713736253513
struct[0].Gy[1,51] = -39.6392229058202
struct[0].Gy[1,52] = 23.2849644809540
struct[0].Gy[1,53] = -24.9575997948692
struct[0].Gy[1,54] = 10.2713736253513
struct[0].Gy[1,55] = -39.6392229058202
struct[0].Gy[1,145] = 1
struct[0].Gy[2,0] = 39.6392229058202
struct[0].Gy[2,1] = 10.2713736253513
struct[0].Gy[2,2] = -122.245105314247
struct[0].Gy[2,3] = -120.759116772529
struct[0].Gy[2,4] = 39.6392229058201
struct[0].Gy[2,5] = 10.2713736253513
struct[0].Gy[2,6] = 41.6309357959363
struct[0].Gy[2,7] = 89.9783084852224
struct[0].Gy[2,48] = -39.6392229058202
struct[0].Gy[2,49] = -10.2713736253513
struct[0].Gy[2,50] = 105.571769313180
struct[0].Gy[2,51] = 54.0657727682604
struct[0].Gy[2,52] = -39.6392229058201
struct[0].Gy[2,53] = -10.2713736253513
struct[0].Gy[2,54] = -24.9575997948692
struct[0].Gy[2,55] = -23.2849644809540
struct[0].Gy[2,146] = 1
struct[0].Gy[3,0] = -10.2713736253513
struct[0].Gy[3,1] = 39.6392229058202
struct[0].Gy[3,2] = 120.759116772529
struct[0].Gy[3,3] = -122.245105314247
struct[0].Gy[3,4] = -10.2713736253513
struct[0].Gy[3,5] = 39.6392229058201
struct[0].Gy[3,6] = -89.9783084852224
struct[0].Gy[3,7] = 41.6309357959363
struct[0].Gy[3,48] = 10.2713736253513
struct[0].Gy[3,49] = -39.6392229058202
struct[0].Gy[3,50] = -54.0657727682604
struct[0].Gy[3,51] = 105.571769313180
struct[0].Gy[3,52] = 10.2713736253513
struct[0].Gy[3,53] = -39.6392229058201
struct[0].Gy[3,54] = 23.2849644809540
struct[0].Gy[3,55] = -24.9575997948692
struct[0].Gy[3,147] = 1
struct[0].Gy[4,0] = 24.9575997948692
struct[0].Gy[4,1] = 23.2849644809540
struct[0].Gy[4,2] = 39.6392229058202
struct[0].Gy[4,3] = 10.2713736253513
struct[0].Gy[4,4] = -122.245105314247
struct[0].Gy[4,5] = -120.759116772529
struct[0].Gy[4,6] = 56.3125589068872
struct[0].Gy[4,7] = 76.9647176296197
struct[0].Gy[4,48] = -24.9575997948692
struct[0].Gy[4,49] = -23.2849644809540
struct[0].Gy[4,50] = -39.6392229058202
struct[0].Gy[4,51] = -10.2713736253513
struct[0].Gy[4,52] = 105.571769313180
struct[0].Gy[4,53] = 54.0657727682604
struct[0].Gy[4,54] = -39.6392229058201
struct[0].Gy[4,55] = -10.2713736253514
struct[0].Gy[4,148] = 1
struct[0].Gy[5,0] = -23.2849644809540
struct[0].Gy[5,1] = 24.9575997948692
struct[0].Gy[5,2] = -10.2713736253513
struct[0].Gy[5,3] = 39.6392229058202
struct[0].Gy[5,4] = 120.759116772529
struct[0].Gy[5,5] = -122.245105314247
struct[0].Gy[5,6] = -76.9647176296197
struct[0].Gy[5,7] = 56.3125589068872
struct[0].Gy[5,48] = 23.2849644809540
struct[0].Gy[5,49] = -24.9575997948692
struct[0].Gy[5,50] = 10.2713736253513
struct[0].Gy[5,51] = -39.6392229058202
struct[0].Gy[5,52] = -54.0657727682604
struct[0].Gy[5,53] = 105.571769313180
struct[0].Gy[5,54] = 10.2713736253514
struct[0].Gy[5,55] = -39.6392229058201
struct[0].Gy[5,149] = 1
struct[0].Gy[6,0] = 56.3125589068872
struct[0].Gy[6,1] = 76.9647176296197
struct[0].Gy[6,2] = 41.6309357959363
struct[0].Gy[6,3] = 89.9783084852224
struct[0].Gy[6,4] = 56.3125589068872
struct[0].Gy[6,5] = 76.9647176296197
struct[0].Gy[6,6] = -155.925110649715
struct[0].Gy[6,7] = -254.145804781065
struct[0].Gy[6,48] = -39.6392229058202
struct[0].Gy[6,49] = -10.2713736253513
struct[0].Gy[6,50] = -24.9575997948692
struct[0].Gy[6,51] = -23.2849644809540
struct[0].Gy[6,52] = -39.6392229058202
struct[0].Gy[6,53] = -10.2713736253513
struct[0].Gy[6,54] = 105.571769313180
struct[0].Gy[6,55] = 54.0657727682604
struct[0].Gy[6,150] = 1
struct[0].Gy[7,0] = -76.9647176296197
struct[0].Gy[7,1] = 56.3125589068872
struct[0].Gy[7,2] = -89.9783084852224
struct[0].Gy[7,3] = 41.6309357959363
struct[0].Gy[7,4] = -76.9647176296197
struct[0].Gy[7,5] = 56.3125589068872
struct[0].Gy[7,6] = 254.145804781065
struct[0].Gy[7,7] = -155.925110649715
struct[0].Gy[7,48] = 10.2713736253513
struct[0].Gy[7,49] = -39.6392229058202
struct[0].Gy[7,50] = 23.2849644809540
struct[0].Gy[7,51] = -24.9575997948692
struct[0].Gy[7,52] = 10.2713736253513
struct[0].Gy[7,53] = -39.6392229058202
struct[0].Gy[7,54] = -54.0657727682604
struct[0].Gy[7,55] = 105.571769313180
struct[0].Gy[7,151] = 1
struct[0].Gy[8,8] = -26.5300693004806
struct[0].Gy[8,9] = -4.84676915585801
struct[0].Gy[8,10] = 7.89461337514770
struct[0].Gy[8,11] = -1.58482814504483
struct[0].Gy[8,12] = 7.72144347466701
struct[0].Gy[8,13] = -0.679918453285310
struct[0].Gy[8,14] = 7.89461337514771
struct[0].Gy[8,15] = -1.58482814504483
struct[0].Gy[8,56] = 26.5300693004806
struct[0].Gy[8,57] = 4.84676915585801
struct[0].Gy[8,58] = -7.89461337514770
struct[0].Gy[8,59] = 1.58482814504483
struct[0].Gy[8,60] = -7.72144347466701
struct[0].Gy[8,61] = 0.679918453285310
struct[0].Gy[8,62] = -7.89461337514771
struct[0].Gy[8,63] = 1.58482814504483
struct[0].Gy[8,152] = 1
struct[0].Gy[9,8] = 4.84676915585801
struct[0].Gy[9,9] = -26.5300693004806
struct[0].Gy[9,10] = 1.58482814504483
struct[0].Gy[9,11] = 7.89461337514770
struct[0].Gy[9,12] = 0.679918453285310
struct[0].Gy[9,13] = 7.72144347466701
struct[0].Gy[9,14] = 1.58482814504483
struct[0].Gy[9,15] = 7.89461337514771
struct[0].Gy[9,56] = -4.84676915585801
struct[0].Gy[9,57] = 26.5300693004806
struct[0].Gy[9,58] = -1.58482814504483
struct[0].Gy[9,59] = -7.89461337514770
struct[0].Gy[9,60] = -0.679918453285310
struct[0].Gy[9,61] = -7.72144347466701
struct[0].Gy[9,62] = -1.58482814504483
struct[0].Gy[9,63] = -7.89461337514771
struct[0].Gy[9,153] = 1
struct[0].Gy[10,8] = 7.89461337514771
struct[0].Gy[10,9] = -1.58482814504483
struct[0].Gy[10,10] = -26.5300693004806
struct[0].Gy[10,11] = -4.84676915585801
struct[0].Gy[10,12] = 7.89461337514771
struct[0].Gy[10,13] = -1.58482814504483
struct[0].Gy[10,14] = 7.72144347466701
struct[0].Gy[10,15] = -0.679918453285308
struct[0].Gy[10,56] = -7.89461337514771
struct[0].Gy[10,57] = 1.58482814504483
struct[0].Gy[10,58] = 26.5300693004806
struct[0].Gy[10,59] = 4.84676915585801
struct[0].Gy[10,60] = -7.89461337514771
struct[0].Gy[10,61] = 1.58482814504483
struct[0].Gy[10,62] = -7.72144347466701
struct[0].Gy[10,63] = 0.679918453285308
struct[0].Gy[10,154] = 1
struct[0].Gy[11,8] = 1.58482814504483
struct[0].Gy[11,9] = 7.89461337514771
struct[0].Gy[11,10] = 4.84676915585801
struct[0].Gy[11,11] = -26.5300693004806
struct[0].Gy[11,12] = 1.58482814504483
struct[0].Gy[11,13] = 7.89461337514771
struct[0].Gy[11,14] = 0.679918453285308
struct[0].Gy[11,15] = 7.72144347466701
struct[0].Gy[11,56] = -1.58482814504483
struct[0].Gy[11,57] = -7.89461337514771
struct[0].Gy[11,58] = -4.84676915585801
struct[0].Gy[11,59] = 26.5300693004806
struct[0].Gy[11,60] = -1.58482814504483
struct[0].Gy[11,61] = -7.89461337514771
struct[0].Gy[11,62] = -0.679918453285308
struct[0].Gy[11,63] = -7.72144347466701
struct[0].Gy[11,155] = 1
struct[0].Gy[12,8] = 7.72144347466701
struct[0].Gy[12,9] = -0.679918453285310
struct[0].Gy[12,10] = 7.89461337514770
struct[0].Gy[12,11] = -1.58482814504483
struct[0].Gy[12,12] = -26.5300693004806
struct[0].Gy[12,13] = -4.84676915585801
struct[0].Gy[12,14] = 7.89461337514771
struct[0].Gy[12,15] = -1.58482814504483
struct[0].Gy[12,56] = -7.72144347466701
struct[0].Gy[12,57] = 0.679918453285310
struct[0].Gy[12,58] = -7.89461337514770
struct[0].Gy[12,59] = 1.58482814504483
struct[0].Gy[12,60] = 26.5300693004806
struct[0].Gy[12,61] = 4.84676915585801
struct[0].Gy[12,62] = -7.89461337514771
struct[0].Gy[12,63] = 1.58482814504483
struct[0].Gy[12,156] = 1
struct[0].Gy[13,8] = 0.679918453285310
struct[0].Gy[13,9] = 7.72144347466701
struct[0].Gy[13,10] = 1.58482814504483
struct[0].Gy[13,11] = 7.89461337514770
struct[0].Gy[13,12] = 4.84676915585801
struct[0].Gy[13,13] = -26.5300693004806
struct[0].Gy[13,14] = 1.58482814504483
struct[0].Gy[13,15] = 7.89461337514771
struct[0].Gy[13,56] = -0.679918453285310
struct[0].Gy[13,57] = -7.72144347466701
struct[0].Gy[13,58] = -1.58482814504483
struct[0].Gy[13,59] = -7.89461337514770
struct[0].Gy[13,60] = -4.84676915585801
struct[0].Gy[13,61] = 26.5300693004806
struct[0].Gy[13,62] = -1.58482814504483
struct[0].Gy[13,63] = -7.89461337514771
struct[0].Gy[13,157] = 1
struct[0].Gy[14,8] = 7.89461337514771
struct[0].Gy[14,9] = -1.58482814504483
struct[0].Gy[14,10] = 7.72144347466701
struct[0].Gy[14,11] = -0.679918453285308
struct[0].Gy[14,12] = 7.89461337514771
struct[0].Gy[14,13] = -1.58482814504483
struct[0].Gy[14,14] = -26.5550693004806
struct[0].Gy[14,15] = -4.84676915585801
struct[0].Gy[14,56] = -7.89461337514771
struct[0].Gy[14,57] = 1.58482814504483
struct[0].Gy[14,58] = -7.72144347466701
struct[0].Gy[14,59] = 0.679918453285308
struct[0].Gy[14,60] = -7.89461337514771
struct[0].Gy[14,61] = 1.58482814504483
struct[0].Gy[14,62] = 26.5300693004806
struct[0].Gy[14,63] = 4.84676915585801
struct[0].Gy[14,158] = 1
struct[0].Gy[15,8] = 1.58482814504483
struct[0].Gy[15,9] = 7.89461337514771
struct[0].Gy[15,10] = 0.679918453285308
struct[0].Gy[15,11] = 7.72144347466701
struct[0].Gy[15,12] = 1.58482814504483
struct[0].Gy[15,13] = 7.89461337514771
struct[0].Gy[15,14] = 4.84676915585801
struct[0].Gy[15,15] = -26.5550693004806
struct[0].Gy[15,56] = -1.58482814504483
struct[0].Gy[15,57] = -7.89461337514771
struct[0].Gy[15,58] = -0.679918453285308
struct[0].Gy[15,59] = -7.72144347466701
struct[0].Gy[15,60] = -1.58482814504483
struct[0].Gy[15,61] = -7.89461337514771
struct[0].Gy[15,62] = -4.84676915585801
struct[0].Gy[15,63] = 26.5300693004806
struct[0].Gy[15,159] = 1
struct[0].Gy[16,16] = -26.5300693004806
struct[0].Gy[16,17] = -4.84676915585801
struct[0].Gy[16,18] = 7.89461337514770
struct[0].Gy[16,19] = -1.58482814504483
struct[0].Gy[16,20] = 7.72144347466701
struct[0].Gy[16,21] = -0.679918453285310
struct[0].Gy[16,22] = 7.89461337514771
struct[0].Gy[16,23] = -1.58482814504483
struct[0].Gy[16,136] = 26.5300693004806
struct[0].Gy[16,137] = 4.84676915585801
struct[0].Gy[16,138] = -7.89461337514770
struct[0].Gy[16,139] = 1.58482814504483
struct[0].Gy[16,140] = -7.72144347466701
struct[0].Gy[16,141] = 0.679918453285310
struct[0].Gy[16,142] = -7.89461337514771
struct[0].Gy[16,143] = 1.58482814504483
struct[0].Gy[16,160] = 1
struct[0].Gy[17,16] = 4.84676915585801
struct[0].Gy[17,17] = -26.5300693004806
struct[0].Gy[17,18] = 1.58482814504483
struct[0].Gy[17,19] = 7.89461337514770
struct[0].Gy[17,20] = 0.679918453285310
struct[0].Gy[17,21] = 7.72144347466701
struct[0].Gy[17,22] = 1.58482814504483
struct[0].Gy[17,23] = 7.89461337514771
struct[0].Gy[17,136] = -4.84676915585801
struct[0].Gy[17,137] = 26.5300693004806
struct[0].Gy[17,138] = -1.58482814504483
struct[0].Gy[17,139] = -7.89461337514770
struct[0].Gy[17,140] = -0.679918453285310
struct[0].Gy[17,141] = -7.72144347466701
struct[0].Gy[17,142] = -1.58482814504483
struct[0].Gy[17,143] = -7.89461337514771
struct[0].Gy[17,161] = 1
struct[0].Gy[18,16] = 7.89461337514771
struct[0].Gy[18,17] = -1.58482814504483
struct[0].Gy[18,18] = -26.5300693004806
struct[0].Gy[18,19] = -4.84676915585801
struct[0].Gy[18,20] = 7.89461337514771
struct[0].Gy[18,21] = -1.58482814504483
struct[0].Gy[18,22] = 7.72144347466701
struct[0].Gy[18,23] = -0.679918453285308
struct[0].Gy[18,136] = -7.89461337514771
struct[0].Gy[18,137] = 1.58482814504483
struct[0].Gy[18,138] = 26.5300693004806
struct[0].Gy[18,139] = 4.84676915585801
struct[0].Gy[18,140] = -7.89461337514771
struct[0].Gy[18,141] = 1.58482814504483
struct[0].Gy[18,142] = -7.72144347466701
struct[0].Gy[18,143] = 0.679918453285308
struct[0].Gy[18,162] = 1
struct[0].Gy[19,16] = 1.58482814504483
struct[0].Gy[19,17] = 7.89461337514771
struct[0].Gy[19,18] = 4.84676915585801
struct[0].Gy[19,19] = -26.5300693004806
struct[0].Gy[19,20] = 1.58482814504483
struct[0].Gy[19,21] = 7.89461337514771
struct[0].Gy[19,22] = 0.679918453285308
struct[0].Gy[19,23] = 7.72144347466701
struct[0].Gy[19,136] = -1.58482814504483
struct[0].Gy[19,137] = -7.89461337514771
struct[0].Gy[19,138] = -4.84676915585801
struct[0].Gy[19,139] = 26.5300693004806
struct[0].Gy[19,140] = -1.58482814504483
struct[0].Gy[19,141] = -7.89461337514771
struct[0].Gy[19,142] = -0.679918453285308
struct[0].Gy[19,143] = -7.72144347466701
struct[0].Gy[19,163] = 1
struct[0].Gy[20,16] = 7.72144347466701
struct[0].Gy[20,17] = -0.679918453285310
struct[0].Gy[20,18] = 7.89461337514770
struct[0].Gy[20,19] = -1.58482814504483
struct[0].Gy[20,20] = -26.5300693004806
struct[0].Gy[20,21] = -4.84676915585801
struct[0].Gy[20,22] = 7.89461337514771
struct[0].Gy[20,23] = -1.58482814504483
struct[0].Gy[20,136] = -7.72144347466701
struct[0].Gy[20,137] = 0.679918453285310
struct[0].Gy[20,138] = -7.89461337514770
struct[0].Gy[20,139] = 1.58482814504483
struct[0].Gy[20,140] = 26.5300693004806
struct[0].Gy[20,141] = 4.84676915585801
struct[0].Gy[20,142] = -7.89461337514771
struct[0].Gy[20,143] = 1.58482814504483
struct[0].Gy[20,164] = 1
struct[0].Gy[21,16] = 0.679918453285310
struct[0].Gy[21,17] = 7.72144347466701
struct[0].Gy[21,18] = 1.58482814504483
struct[0].Gy[21,19] = 7.89461337514770
struct[0].Gy[21,20] = 4.84676915585801
struct[0].Gy[21,21] = -26.5300693004806
struct[0].Gy[21,22] = 1.58482814504483
struct[0].Gy[21,23] = 7.89461337514771
struct[0].Gy[21,136] = -0.679918453285310
struct[0].Gy[21,137] = -7.72144347466701
struct[0].Gy[21,138] = -1.58482814504483
struct[0].Gy[21,139] = -7.89461337514770
struct[0].Gy[21,140] = -4.84676915585801
struct[0].Gy[21,141] = 26.5300693004806
struct[0].Gy[21,142] = -1.58482814504483
struct[0].Gy[21,143] = -7.89461337514771
struct[0].Gy[21,165] = 1
struct[0].Gy[22,16] = 7.89461337514771
struct[0].Gy[22,17] = -1.58482814504483
struct[0].Gy[22,18] = 7.72144347466701
struct[0].Gy[22,19] = -0.679918453285308
struct[0].Gy[22,20] = 7.89461337514771
struct[0].Gy[22,21] = -1.58482814504483
struct[0].Gy[22,22] = -26.5550693004806
struct[0].Gy[22,23] = -4.84676915585801
struct[0].Gy[22,136] = -7.89461337514771
struct[0].Gy[22,137] = 1.58482814504483
struct[0].Gy[22,138] = -7.72144347466701
struct[0].Gy[22,139] = 0.679918453285308
struct[0].Gy[22,140] = -7.89461337514771
struct[0].Gy[22,141] = 1.58482814504483
struct[0].Gy[22,142] = 26.5300693004806
struct[0].Gy[22,143] = 4.84676915585801
struct[0].Gy[22,166] = 1
struct[0].Gy[23,16] = 1.58482814504483
struct[0].Gy[23,17] = 7.89461337514771
struct[0].Gy[23,18] = 0.679918453285308
struct[0].Gy[23,19] = 7.72144347466701
struct[0].Gy[23,20] = 1.58482814504483
struct[0].Gy[23,21] = 7.89461337514771
struct[0].Gy[23,22] = 4.84676915585801
struct[0].Gy[23,23] = -26.5550693004806
struct[0].Gy[23,136] = -1.58482814504483
struct[0].Gy[23,137] = -7.89461337514771
struct[0].Gy[23,138] = -0.679918453285308
struct[0].Gy[23,139] = -7.72144347466701
struct[0].Gy[23,140] = -1.58482814504483
struct[0].Gy[23,141] = -7.89461337514771
struct[0].Gy[23,142] = -4.84676915585801
struct[0].Gy[23,143] = 26.5300693004806
struct[0].Gy[23,167] = 1
struct[0].Gy[24,24] = -30.9517475172273
struct[0].Gy[24,25] = -5.65456401516768
struct[0].Gy[24,26] = 9.21038227100566
struct[0].Gy[24,27] = -1.84896616921897
struct[0].Gy[24,28] = 9.00835072044485
struct[0].Gy[24,29] = -0.793238195499529
struct[0].Gy[24,30] = 9.21038227100566
struct[0].Gy[24,31] = -1.84896616921897
struct[0].Gy[24,80] = 30.9517475172273
struct[0].Gy[24,81] = 5.65456401516768
struct[0].Gy[24,82] = -9.21038227100566
struct[0].Gy[24,83] = 1.84896616921897
struct[0].Gy[24,84] = -9.00835072044485
struct[0].Gy[24,85] = 0.793238195499529
struct[0].Gy[24,86] = -9.21038227100566
struct[0].Gy[24,87] = 1.84896616921897
struct[0].Gy[24,168] = 1
struct[0].Gy[25,24] = 5.65456401516768
struct[0].Gy[25,25] = -30.9517475172273
struct[0].Gy[25,26] = 1.84896616921897
struct[0].Gy[25,27] = 9.21038227100566
struct[0].Gy[25,28] = 0.793238195499529
struct[0].Gy[25,29] = 9.00835072044485
struct[0].Gy[25,30] = 1.84896616921897
struct[0].Gy[25,31] = 9.21038227100566
struct[0].Gy[25,80] = -5.65456401516768
struct[0].Gy[25,81] = 30.9517475172273
struct[0].Gy[25,82] = -1.84896616921897
struct[0].Gy[25,83] = -9.21038227100566
struct[0].Gy[25,84] = -0.793238195499529
struct[0].Gy[25,85] = -9.00835072044485
struct[0].Gy[25,86] = -1.84896616921897
struct[0].Gy[25,87] = -9.21038227100566
struct[0].Gy[25,169] = 1
struct[0].Gy[26,24] = 9.21038227100566
struct[0].Gy[26,25] = -1.84896616921897
struct[0].Gy[26,26] = -30.9517475172273
struct[0].Gy[26,27] = -5.65456401516768
struct[0].Gy[26,28] = 9.21038227100566
struct[0].Gy[26,29] = -1.84896616921897
struct[0].Gy[26,30] = 9.00835072044485
struct[0].Gy[26,31] = -0.793238195499528
struct[0].Gy[26,80] = -9.21038227100566
struct[0].Gy[26,81] = 1.84896616921897
struct[0].Gy[26,82] = 30.9517475172273
struct[0].Gy[26,83] = 5.65456401516768
struct[0].Gy[26,84] = -9.21038227100566
struct[0].Gy[26,85] = 1.84896616921897
struct[0].Gy[26,86] = -9.00835072044485
struct[0].Gy[26,87] = 0.793238195499528
struct[0].Gy[26,170] = 1
struct[0].Gy[27,24] = 1.84896616921897
struct[0].Gy[27,25] = 9.21038227100566
struct[0].Gy[27,26] = 5.65456401516768
struct[0].Gy[27,27] = -30.9517475172273
struct[0].Gy[27,28] = 1.84896616921897
struct[0].Gy[27,29] = 9.21038227100566
struct[0].Gy[27,30] = 0.793238195499528
struct[0].Gy[27,31] = 9.00835072044485
struct[0].Gy[27,80] = -1.84896616921897
struct[0].Gy[27,81] = -9.21038227100566
struct[0].Gy[27,82] = -5.65456401516768
struct[0].Gy[27,83] = 30.9517475172273
struct[0].Gy[27,84] = -1.84896616921897
struct[0].Gy[27,85] = -9.21038227100566
struct[0].Gy[27,86] = -0.793238195499528
struct[0].Gy[27,87] = -9.00835072044485
struct[0].Gy[27,171] = 1
struct[0].Gy[28,24] = 9.00835072044484
struct[0].Gy[28,25] = -0.793238195499527
struct[0].Gy[28,26] = 9.21038227100566
struct[0].Gy[28,27] = -1.84896616921897
struct[0].Gy[28,28] = -30.9517475172273
struct[0].Gy[28,29] = -5.65456401516768
struct[0].Gy[28,30] = 9.21038227100566
struct[0].Gy[28,31] = -1.84896616921897
struct[0].Gy[28,80] = -9.00835072044484
struct[0].Gy[28,81] = 0.793238195499527
struct[0].Gy[28,82] = -9.21038227100566
struct[0].Gy[28,83] = 1.84896616921897
struct[0].Gy[28,84] = 30.9517475172273
struct[0].Gy[28,85] = 5.65456401516768
struct[0].Gy[28,86] = -9.21038227100566
struct[0].Gy[28,87] = 1.84896616921897
struct[0].Gy[28,172] = 1
struct[0].Gy[29,24] = 0.793238195499527
struct[0].Gy[29,25] = 9.00835072044484
struct[0].Gy[29,26] = 1.84896616921897
struct[0].Gy[29,27] = 9.21038227100566
struct[0].Gy[29,28] = 5.65456401516768
struct[0].Gy[29,29] = -30.9517475172273
struct[0].Gy[29,30] = 1.84896616921897
struct[0].Gy[29,31] = 9.21038227100566
struct[0].Gy[29,80] = -0.793238195499527
struct[0].Gy[29,81] = -9.00835072044484
struct[0].Gy[29,82] = -1.84896616921897
struct[0].Gy[29,83] = -9.21038227100566
struct[0].Gy[29,84] = -5.65456401516768
struct[0].Gy[29,85] = 30.9517475172273
struct[0].Gy[29,86] = -1.84896616921897
struct[0].Gy[29,87] = -9.21038227100566
struct[0].Gy[29,173] = 1
struct[0].Gy[30,24] = 9.21038227100566
struct[0].Gy[30,25] = -1.84896616921897
struct[0].Gy[30,26] = 9.00835072044485
struct[0].Gy[30,27] = -0.793238195499527
struct[0].Gy[30,28] = 9.21038227100566
struct[0].Gy[30,29] = -1.84896616921897
struct[0].Gy[30,30] = -30.9767475172273
struct[0].Gy[30,31] = -5.65456401516768
struct[0].Gy[30,80] = -9.21038227100566
struct[0].Gy[30,81] = 1.84896616921897
struct[0].Gy[30,82] = -9.00835072044485
struct[0].Gy[30,83] = 0.793238195499527
struct[0].Gy[30,84] = -9.21038227100566
struct[0].Gy[30,85] = 1.84896616921897
struct[0].Gy[30,86] = 30.9517475172273
struct[0].Gy[30,87] = 5.65456401516768
struct[0].Gy[30,174] = 1
struct[0].Gy[31,24] = 1.84896616921897
struct[0].Gy[31,25] = 9.21038227100566
struct[0].Gy[31,26] = 0.793238195499527
struct[0].Gy[31,27] = 9.00835072044485
struct[0].Gy[31,28] = 1.84896616921897
struct[0].Gy[31,29] = 9.21038227100566
struct[0].Gy[31,30] = 5.65456401516768
struct[0].Gy[31,31] = -30.9767475172273
struct[0].Gy[31,80] = -1.84896616921897
struct[0].Gy[31,81] = -9.21038227100566
struct[0].Gy[31,82] = -0.793238195499527
struct[0].Gy[31,83] = -9.00835072044485
struct[0].Gy[31,84] = -1.84896616921897
struct[0].Gy[31,85] = -9.21038227100566
struct[0].Gy[31,86] = -5.65456401516768
struct[0].Gy[31,87] = 30.9517475172273
struct[0].Gy[31,175] = 1
struct[0].Gy[32,32] = -30.9517475172273
struct[0].Gy[32,33] = -5.65456401516768
struct[0].Gy[32,34] = 9.21038227100566
struct[0].Gy[32,35] = -1.84896616921897
struct[0].Gy[32,36] = 9.00835072044485
struct[0].Gy[32,37] = -0.793238195499529
struct[0].Gy[32,38] = 9.21038227100566
struct[0].Gy[32,39] = -1.84896616921897
struct[0].Gy[32,104] = 30.9517475172273
struct[0].Gy[32,105] = 5.65456401516768
struct[0].Gy[32,106] = -9.21038227100566
struct[0].Gy[32,107] = 1.84896616921897
struct[0].Gy[32,108] = -9.00835072044485
struct[0].Gy[32,109] = 0.793238195499529
struct[0].Gy[32,110] = -9.21038227100566
struct[0].Gy[32,111] = 1.84896616921897
struct[0].Gy[32,176] = 1
struct[0].Gy[33,32] = 5.65456401516768
struct[0].Gy[33,33] = -30.9517475172273
struct[0].Gy[33,34] = 1.84896616921897
struct[0].Gy[33,35] = 9.21038227100566
struct[0].Gy[33,36] = 0.793238195499529
struct[0].Gy[33,37] = 9.00835072044485
struct[0].Gy[33,38] = 1.84896616921897
struct[0].Gy[33,39] = 9.21038227100566
struct[0].Gy[33,104] = -5.65456401516768
struct[0].Gy[33,105] = 30.9517475172273
struct[0].Gy[33,106] = -1.84896616921897
struct[0].Gy[33,107] = -9.21038227100566
struct[0].Gy[33,108] = -0.793238195499529
struct[0].Gy[33,109] = -9.00835072044485
struct[0].Gy[33,110] = -1.84896616921897
struct[0].Gy[33,111] = -9.21038227100566
struct[0].Gy[33,177] = 1
struct[0].Gy[34,32] = 9.21038227100566
struct[0].Gy[34,33] = -1.84896616921897
struct[0].Gy[34,34] = -30.9517475172273
struct[0].Gy[34,35] = -5.65456401516768
struct[0].Gy[34,36] = 9.21038227100566
struct[0].Gy[34,37] = -1.84896616921897
struct[0].Gy[34,38] = 9.00835072044485
struct[0].Gy[34,39] = -0.793238195499528
struct[0].Gy[34,104] = -9.21038227100566
struct[0].Gy[34,105] = 1.84896616921897
struct[0].Gy[34,106] = 30.9517475172273
struct[0].Gy[34,107] = 5.65456401516768
struct[0].Gy[34,108] = -9.21038227100566
struct[0].Gy[34,109] = 1.84896616921897
struct[0].Gy[34,110] = -9.00835072044485
struct[0].Gy[34,111] = 0.793238195499528
struct[0].Gy[34,178] = 1
struct[0].Gy[35,32] = 1.84896616921897
struct[0].Gy[35,33] = 9.21038227100566
struct[0].Gy[35,34] = 5.65456401516768
struct[0].Gy[35,35] = -30.9517475172273
struct[0].Gy[35,36] = 1.84896616921897
struct[0].Gy[35,37] = 9.21038227100566
struct[0].Gy[35,38] = 0.793238195499528
struct[0].Gy[35,39] = 9.00835072044485
struct[0].Gy[35,104] = -1.84896616921897
struct[0].Gy[35,105] = -9.21038227100566
struct[0].Gy[35,106] = -5.65456401516768
struct[0].Gy[35,107] = 30.9517475172273
struct[0].Gy[35,108] = -1.84896616921897
struct[0].Gy[35,109] = -9.21038227100566
struct[0].Gy[35,110] = -0.793238195499528
struct[0].Gy[35,111] = -9.00835072044485
struct[0].Gy[35,179] = 1
struct[0].Gy[36,32] = 9.00835072044484
struct[0].Gy[36,33] = -0.793238195499527
struct[0].Gy[36,34] = 9.21038227100566
struct[0].Gy[36,35] = -1.84896616921897
struct[0].Gy[36,36] = -30.9517475172273
struct[0].Gy[36,37] = -5.65456401516768
struct[0].Gy[36,38] = 9.21038227100566
struct[0].Gy[36,39] = -1.84896616921897
struct[0].Gy[36,104] = -9.00835072044484
struct[0].Gy[36,105] = 0.793238195499527
struct[0].Gy[36,106] = -9.21038227100566
struct[0].Gy[36,107] = 1.84896616921897
struct[0].Gy[36,108] = 30.9517475172273
struct[0].Gy[36,109] = 5.65456401516768
struct[0].Gy[36,110] = -9.21038227100566
struct[0].Gy[36,111] = 1.84896616921897
struct[0].Gy[36,180] = 1
struct[0].Gy[37,32] = 0.793238195499527
struct[0].Gy[37,33] = 9.00835072044484
struct[0].Gy[37,34] = 1.84896616921897
struct[0].Gy[37,35] = 9.21038227100566
struct[0].Gy[37,36] = 5.65456401516768
struct[0].Gy[37,37] = -30.9517475172273
struct[0].Gy[37,38] = 1.84896616921897
struct[0].Gy[37,39] = 9.21038227100566
struct[0].Gy[37,104] = -0.793238195499527
struct[0].Gy[37,105] = -9.00835072044484
struct[0].Gy[37,106] = -1.84896616921897
struct[0].Gy[37,107] = -9.21038227100566
struct[0].Gy[37,108] = -5.65456401516768
struct[0].Gy[37,109] = 30.9517475172273
struct[0].Gy[37,110] = -1.84896616921897
struct[0].Gy[37,111] = -9.21038227100566
struct[0].Gy[37,181] = 1
struct[0].Gy[38,32] = 9.21038227100566
struct[0].Gy[38,33] = -1.84896616921897
struct[0].Gy[38,34] = 9.00835072044485
struct[0].Gy[38,35] = -0.793238195499527
struct[0].Gy[38,36] = 9.21038227100566
struct[0].Gy[38,37] = -1.84896616921897
struct[0].Gy[38,38] = -30.9767475172273
struct[0].Gy[38,39] = -5.65456401516768
struct[0].Gy[38,104] = -9.21038227100566
struct[0].Gy[38,105] = 1.84896616921897
struct[0].Gy[38,106] = -9.00835072044485
struct[0].Gy[38,107] = 0.793238195499527
struct[0].Gy[38,108] = -9.21038227100566
struct[0].Gy[38,109] = 1.84896616921897
struct[0].Gy[38,110] = 30.9517475172273
struct[0].Gy[38,111] = 5.65456401516768
struct[0].Gy[38,182] = 1
struct[0].Gy[39,32] = 1.84896616921897
struct[0].Gy[39,33] = 9.21038227100566
struct[0].Gy[39,34] = 0.793238195499527
struct[0].Gy[39,35] = 9.00835072044485
struct[0].Gy[39,36] = 1.84896616921897
struct[0].Gy[39,37] = 9.21038227100566
struct[0].Gy[39,38] = 5.65456401516768
struct[0].Gy[39,39] = -30.9767475172273
struct[0].Gy[39,104] = -1.84896616921897
struct[0].Gy[39,105] = -9.21038227100566
struct[0].Gy[39,106] = -0.793238195499527
struct[0].Gy[39,107] = -9.00835072044485
struct[0].Gy[39,108] = -1.84896616921897
struct[0].Gy[39,109] = -9.21038227100566
struct[0].Gy[39,110] = -5.65456401516768
struct[0].Gy[39,111] = 30.9517475172273
struct[0].Gy[39,183] = 1
struct[0].Gy[40,40] = -30.9517475172273
struct[0].Gy[40,41] = -5.65456401516768
struct[0].Gy[40,42] = 9.21038227100566
struct[0].Gy[40,43] = -1.84896616921897
struct[0].Gy[40,44] = 9.00835072044485
struct[0].Gy[40,45] = -0.793238195499529
struct[0].Gy[40,46] = 9.21038227100566
struct[0].Gy[40,47] = -1.84896616921897
struct[0].Gy[40,112] = 30.9517475172273
struct[0].Gy[40,113] = 5.65456401516768
struct[0].Gy[40,114] = -9.21038227100566
struct[0].Gy[40,115] = 1.84896616921897
struct[0].Gy[40,116] = -9.00835072044485
struct[0].Gy[40,117] = 0.793238195499529
struct[0].Gy[40,118] = -9.21038227100566
struct[0].Gy[40,119] = 1.84896616921897
struct[0].Gy[40,184] = 1
struct[0].Gy[41,40] = 5.65456401516768
struct[0].Gy[41,41] = -30.9517475172273
struct[0].Gy[41,42] = 1.84896616921897
struct[0].Gy[41,43] = 9.21038227100566
struct[0].Gy[41,44] = 0.793238195499529
struct[0].Gy[41,45] = 9.00835072044485
struct[0].Gy[41,46] = 1.84896616921897
struct[0].Gy[41,47] = 9.21038227100566
struct[0].Gy[41,112] = -5.65456401516768
struct[0].Gy[41,113] = 30.9517475172273
struct[0].Gy[41,114] = -1.84896616921897
struct[0].Gy[41,115] = -9.21038227100566
struct[0].Gy[41,116] = -0.793238195499529
struct[0].Gy[41,117] = -9.00835072044485
struct[0].Gy[41,118] = -1.84896616921897
struct[0].Gy[41,119] = -9.21038227100566
struct[0].Gy[41,185] = 1
struct[0].Gy[42,40] = 9.21038227100566
struct[0].Gy[42,41] = -1.84896616921897
struct[0].Gy[42,42] = -30.9517475172273
struct[0].Gy[42,43] = -5.65456401516768
struct[0].Gy[42,44] = 9.21038227100566
struct[0].Gy[42,45] = -1.84896616921897
struct[0].Gy[42,46] = 9.00835072044485
struct[0].Gy[42,47] = -0.793238195499528
struct[0].Gy[42,112] = -9.21038227100566
struct[0].Gy[42,113] = 1.84896616921897
struct[0].Gy[42,114] = 30.9517475172273
struct[0].Gy[42,115] = 5.65456401516768
struct[0].Gy[42,116] = -9.21038227100566
struct[0].Gy[42,117] = 1.84896616921897
struct[0].Gy[42,118] = -9.00835072044485
struct[0].Gy[42,119] = 0.793238195499528
struct[0].Gy[42,186] = 1
struct[0].Gy[43,40] = 1.84896616921897
struct[0].Gy[43,41] = 9.21038227100566
struct[0].Gy[43,42] = 5.65456401516768
struct[0].Gy[43,43] = -30.9517475172273
struct[0].Gy[43,44] = 1.84896616921897
struct[0].Gy[43,45] = 9.21038227100566
struct[0].Gy[43,46] = 0.793238195499528
struct[0].Gy[43,47] = 9.00835072044485
struct[0].Gy[43,112] = -1.84896616921897
struct[0].Gy[43,113] = -9.21038227100566
struct[0].Gy[43,114] = -5.65456401516768
struct[0].Gy[43,115] = 30.9517475172273
struct[0].Gy[43,116] = -1.84896616921897
struct[0].Gy[43,117] = -9.21038227100566
struct[0].Gy[43,118] = -0.793238195499528
struct[0].Gy[43,119] = -9.00835072044485
struct[0].Gy[43,187] = 1
struct[0].Gy[44,40] = 9.00835072044484
struct[0].Gy[44,41] = -0.793238195499527
struct[0].Gy[44,42] = 9.21038227100566
struct[0].Gy[44,43] = -1.84896616921897
struct[0].Gy[44,44] = -30.9517475172273
struct[0].Gy[44,45] = -5.65456401516768
struct[0].Gy[44,46] = 9.21038227100566
struct[0].Gy[44,47] = -1.84896616921897
struct[0].Gy[44,112] = -9.00835072044484
struct[0].Gy[44,113] = 0.793238195499527
struct[0].Gy[44,114] = -9.21038227100566
struct[0].Gy[44,115] = 1.84896616921897
struct[0].Gy[44,116] = 30.9517475172273
struct[0].Gy[44,117] = 5.65456401516768
struct[0].Gy[44,118] = -9.21038227100566
struct[0].Gy[44,119] = 1.84896616921897
struct[0].Gy[44,188] = 1
struct[0].Gy[45,40] = 0.793238195499527
struct[0].Gy[45,41] = 9.00835072044484
struct[0].Gy[45,42] = 1.84896616921897
struct[0].Gy[45,43] = 9.21038227100566
struct[0].Gy[45,44] = 5.65456401516768
struct[0].Gy[45,45] = -30.9517475172273
struct[0].Gy[45,46] = 1.84896616921897
struct[0].Gy[45,47] = 9.21038227100566
struct[0].Gy[45,112] = -0.793238195499527
struct[0].Gy[45,113] = -9.00835072044484
struct[0].Gy[45,114] = -1.84896616921897
struct[0].Gy[45,115] = -9.21038227100566
struct[0].Gy[45,116] = -5.65456401516768
struct[0].Gy[45,117] = 30.9517475172273
struct[0].Gy[45,118] = -1.84896616921897
struct[0].Gy[45,119] = -9.21038227100566
struct[0].Gy[45,189] = 1
struct[0].Gy[46,40] = 9.21038227100566
struct[0].Gy[46,41] = -1.84896616921897
struct[0].Gy[46,42] = 9.00835072044485
struct[0].Gy[46,43] = -0.793238195499527
struct[0].Gy[46,44] = 9.21038227100566
struct[0].Gy[46,45] = -1.84896616921897
struct[0].Gy[46,46] = -30.9767475172273
struct[0].Gy[46,47] = -5.65456401516768
struct[0].Gy[46,112] = -9.21038227100566
struct[0].Gy[46,113] = 1.84896616921897
struct[0].Gy[46,114] = -9.00835072044485
struct[0].Gy[46,115] = 0.793238195499527
struct[0].Gy[46,116] = -9.21038227100566
struct[0].Gy[46,117] = 1.84896616921897
struct[0].Gy[46,118] = 30.9517475172273
struct[0].Gy[46,119] = 5.65456401516768
struct[0].Gy[46,190] = 1
struct[0].Gy[47,40] = 1.84896616921897
struct[0].Gy[47,41] = 9.21038227100566
struct[0].Gy[47,42] = 0.793238195499527
struct[0].Gy[47,43] = 9.00835072044485
struct[0].Gy[47,44] = 1.84896616921897
struct[0].Gy[47,45] = 9.21038227100566
struct[0].Gy[47,46] = 5.65456401516768
struct[0].Gy[47,47] = -30.9767475172273
struct[0].Gy[47,112] = -1.84896616921897
struct[0].Gy[47,113] = -9.21038227100566
struct[0].Gy[47,114] = -0.793238195499527
struct[0].Gy[47,115] = -9.00835072044485
struct[0].Gy[47,116] = -1.84896616921897
struct[0].Gy[47,117] = -9.21038227100566
struct[0].Gy[47,118] = -5.65456401516768
struct[0].Gy[47,119] = 30.9517475172273
struct[0].Gy[47,191] = 1
struct[0].Gy[48,0] = 105.571769313180
struct[0].Gy[48,1] = 54.0657727682604
struct[0].Gy[48,2] = -39.6392229058202
struct[0].Gy[48,3] = -10.2713736253513
struct[0].Gy[48,4] = -24.9575997948692
struct[0].Gy[48,5] = -23.2849644809540
struct[0].Gy[48,6] = -39.6392229058202
struct[0].Gy[48,7] = -10.2713736253513
struct[0].Gy[48,48] = -211.143538626360
struct[0].Gy[48,49] = -108.131545536521
struct[0].Gy[48,50] = 79.2784458116403
struct[0].Gy[48,51] = 20.5427472507027
struct[0].Gy[48,52] = 49.9151995897384
struct[0].Gy[48,53] = 46.5699289619080
struct[0].Gy[48,54] = 79.2784458116403
struct[0].Gy[48,55] = 20.5427472507027
struct[0].Gy[48,56] = 105.571769313180
struct[0].Gy[48,57] = 54.0657727682604
struct[0].Gy[48,58] = -39.6392229058202
struct[0].Gy[48,59] = -10.2713736253513
struct[0].Gy[48,60] = -24.9575997948692
struct[0].Gy[48,61] = -23.2849644809540
struct[0].Gy[48,62] = -39.6392229058202
struct[0].Gy[48,63] = -10.2713736253513
struct[0].Gy[49,0] = -54.0657727682604
struct[0].Gy[49,1] = 105.571769313180
struct[0].Gy[49,2] = 10.2713736253513
struct[0].Gy[49,3] = -39.6392229058202
struct[0].Gy[49,4] = 23.2849644809540
struct[0].Gy[49,5] = -24.9575997948692
struct[0].Gy[49,6] = 10.2713736253513
struct[0].Gy[49,7] = -39.6392229058202
struct[0].Gy[49,48] = 108.131545536521
struct[0].Gy[49,49] = -211.143538626360
struct[0].Gy[49,50] = -20.5427472507027
struct[0].Gy[49,51] = 79.2784458116403
struct[0].Gy[49,52] = -46.5699289619080
struct[0].Gy[49,53] = 49.9151995897384
struct[0].Gy[49,54] = -20.5427472507027
struct[0].Gy[49,55] = 79.2784458116403
struct[0].Gy[49,56] = -54.0657727682604
struct[0].Gy[49,57] = 105.571769313180
struct[0].Gy[49,58] = 10.2713736253513
struct[0].Gy[49,59] = -39.6392229058202
struct[0].Gy[49,60] = 23.2849644809540
struct[0].Gy[49,61] = -24.9575997948692
struct[0].Gy[49,62] = 10.2713736253513
struct[0].Gy[49,63] = -39.6392229058202
struct[0].Gy[50,0] = -39.6392229058202
struct[0].Gy[50,1] = -10.2713736253513
struct[0].Gy[50,2] = 105.571769313180
struct[0].Gy[50,3] = 54.0657727682604
struct[0].Gy[50,4] = -39.6392229058201
struct[0].Gy[50,5] = -10.2713736253513
struct[0].Gy[50,6] = -24.9575997948692
struct[0].Gy[50,7] = -23.2849644809540
struct[0].Gy[50,48] = 79.2784458116403
struct[0].Gy[50,49] = 20.5427472507027
struct[0].Gy[50,50] = -211.143538626360
struct[0].Gy[50,51] = -108.131545536521
struct[0].Gy[50,52] = 79.2784458116403
struct[0].Gy[50,53] = 20.5427472507027
struct[0].Gy[50,54] = 49.9151995897384
struct[0].Gy[50,55] = 46.5699289619080
struct[0].Gy[50,56] = -39.6392229058202
struct[0].Gy[50,57] = -10.2713736253513
struct[0].Gy[50,58] = 105.571769313180
struct[0].Gy[50,59] = 54.0657727682604
struct[0].Gy[50,60] = -39.6392229058201
struct[0].Gy[50,61] = -10.2713736253513
struct[0].Gy[50,62] = -24.9575997948692
struct[0].Gy[50,63] = -23.2849644809540
struct[0].Gy[51,0] = 10.2713736253513
struct[0].Gy[51,1] = -39.6392229058202
struct[0].Gy[51,2] = -54.0657727682604
struct[0].Gy[51,3] = 105.571769313180
struct[0].Gy[51,4] = 10.2713736253513
struct[0].Gy[51,5] = -39.6392229058201
struct[0].Gy[51,6] = 23.2849644809540
struct[0].Gy[51,7] = -24.9575997948692
struct[0].Gy[51,48] = -20.5427472507027
struct[0].Gy[51,49] = 79.2784458116403
struct[0].Gy[51,50] = 108.131545536521
struct[0].Gy[51,51] = -211.143538626360
struct[0].Gy[51,52] = -20.5427472507027
struct[0].Gy[51,53] = 79.2784458116403
struct[0].Gy[51,54] = -46.5699289619080
struct[0].Gy[51,55] = 49.9151995897384
struct[0].Gy[51,56] = 10.2713736253513
struct[0].Gy[51,57] = -39.6392229058202
struct[0].Gy[51,58] = -54.0657727682604
struct[0].Gy[51,59] = 105.571769313180
struct[0].Gy[51,60] = 10.2713736253513
struct[0].Gy[51,61] = -39.6392229058201
struct[0].Gy[51,62] = 23.2849644809540
struct[0].Gy[51,63] = -24.9575997948692
struct[0].Gy[52,0] = -24.9575997948692
struct[0].Gy[52,1] = -23.2849644809540
struct[0].Gy[52,2] = -39.6392229058202
struct[0].Gy[52,3] = -10.2713736253513
struct[0].Gy[52,4] = 105.571769313180
struct[0].Gy[52,5] = 54.0657727682604
struct[0].Gy[52,6] = -39.6392229058201
struct[0].Gy[52,7] = -10.2713736253514
struct[0].Gy[52,48] = 49.9151995897384
struct[0].Gy[52,49] = 46.5699289619080
struct[0].Gy[52,50] = 79.2784458116404
struct[0].Gy[52,51] = 20.5427472507027
struct[0].Gy[52,52] = -211.143538626360
struct[0].Gy[52,53] = -108.131545536521
struct[0].Gy[52,54] = 79.2784458116403
struct[0].Gy[52,55] = 20.5427472507027
struct[0].Gy[52,56] = -24.9575997948692
struct[0].Gy[52,57] = -23.2849644809540
struct[0].Gy[52,58] = -39.6392229058202
struct[0].Gy[52,59] = -10.2713736253513
struct[0].Gy[52,60] = 105.571769313180
struct[0].Gy[52,61] = 54.0657727682604
struct[0].Gy[52,62] = -39.6392229058201
struct[0].Gy[52,63] = -10.2713736253514
struct[0].Gy[53,0] = 23.2849644809540
struct[0].Gy[53,1] = -24.9575997948692
struct[0].Gy[53,2] = 10.2713736253513
struct[0].Gy[53,3] = -39.6392229058202
struct[0].Gy[53,4] = -54.0657727682604
struct[0].Gy[53,5] = 105.571769313180
struct[0].Gy[53,6] = 10.2713736253514
struct[0].Gy[53,7] = -39.6392229058201
struct[0].Gy[53,48] = -46.5699289619080
struct[0].Gy[53,49] = 49.9151995897384
struct[0].Gy[53,50] = -20.5427472507027
struct[0].Gy[53,51] = 79.2784458116404
struct[0].Gy[53,52] = 108.131545536521
struct[0].Gy[53,53] = -211.143538626360
struct[0].Gy[53,54] = -20.5427472507027
struct[0].Gy[53,55] = 79.2784458116403
struct[0].Gy[53,56] = 23.2849644809540
struct[0].Gy[53,57] = -24.9575997948692
struct[0].Gy[53,58] = 10.2713736253513
struct[0].Gy[53,59] = -39.6392229058202
struct[0].Gy[53,60] = -54.0657727682604
struct[0].Gy[53,61] = 105.571769313180
struct[0].Gy[53,62] = 10.2713736253514
struct[0].Gy[53,63] = -39.6392229058201
struct[0].Gy[54,0] = -39.6392229058202
struct[0].Gy[54,1] = -10.2713736253513
struct[0].Gy[54,2] = -24.9575997948692
struct[0].Gy[54,3] = -23.2849644809540
struct[0].Gy[54,4] = -39.6392229058202
struct[0].Gy[54,5] = -10.2713736253513
struct[0].Gy[54,6] = 105.571769313180
struct[0].Gy[54,7] = 54.0657727682604
struct[0].Gy[54,48] = 79.2784458116403
struct[0].Gy[54,49] = 20.5427472507027
struct[0].Gy[54,50] = 49.9151995897384
struct[0].Gy[54,51] = 46.5699289619080
struct[0].Gy[54,52] = 79.2784458116403
struct[0].Gy[54,53] = 20.5427472507027
struct[0].Gy[54,54] = -211.168538626360
struct[0].Gy[54,55] = -108.131545536521
struct[0].Gy[54,56] = -39.6392229058202
struct[0].Gy[54,57] = -10.2713736253513
struct[0].Gy[54,58] = -24.9575997948692
struct[0].Gy[54,59] = -23.2849644809540
struct[0].Gy[54,60] = -39.6392229058202
struct[0].Gy[54,61] = -10.2713736253513
struct[0].Gy[54,62] = 105.571769313180
struct[0].Gy[54,63] = 54.0657727682604
struct[0].Gy[55,0] = 10.2713736253513
struct[0].Gy[55,1] = -39.6392229058202
struct[0].Gy[55,2] = 23.2849644809540
struct[0].Gy[55,3] = -24.9575997948692
struct[0].Gy[55,4] = 10.2713736253513
struct[0].Gy[55,5] = -39.6392229058202
struct[0].Gy[55,6] = -54.0657727682604
struct[0].Gy[55,7] = 105.571769313180
struct[0].Gy[55,48] = -20.5427472507027
struct[0].Gy[55,49] = 79.2784458116403
struct[0].Gy[55,50] = -46.5699289619080
struct[0].Gy[55,51] = 49.9151995897384
struct[0].Gy[55,52] = -20.5427472507027
struct[0].Gy[55,53] = 79.2784458116403
struct[0].Gy[55,54] = 108.131545536521
struct[0].Gy[55,55] = -211.168538626360
struct[0].Gy[55,56] = 10.2713736253513
struct[0].Gy[55,57] = -39.6392229058202
struct[0].Gy[55,58] = 23.2849644809540
struct[0].Gy[55,59] = -24.9575997948692
struct[0].Gy[55,60] = 10.2713736253513
struct[0].Gy[55,61] = -39.6392229058202
struct[0].Gy[55,62] = -54.0657727682604
struct[0].Gy[55,63] = 105.571769313180
struct[0].Gy[56,8] = 26.5300693004806
struct[0].Gy[56,9] = 4.84676915585801
struct[0].Gy[56,10] = -7.89461337514770
struct[0].Gy[56,11] = 1.58482814504483
struct[0].Gy[56,12] = -7.72144347466701
struct[0].Gy[56,13] = 0.679918453285310
struct[0].Gy[56,14] = -7.89461337514771
struct[0].Gy[56,15] = 1.58482814504483
struct[0].Gy[56,48] = 105.571769313180
struct[0].Gy[56,49] = 54.0657727682604
struct[0].Gy[56,50] = -39.6392229058202
struct[0].Gy[56,51] = -10.2713736253513
struct[0].Gy[56,52] = -24.9575997948692
struct[0].Gy[56,53] = -23.2849644809540
struct[0].Gy[56,54] = -39.6392229058202
struct[0].Gy[56,55] = -10.2713736253513
struct[0].Gy[56,56] = -237.673607926841
struct[0].Gy[56,57] = -112.978314692379
struct[0].Gy[56,58] = 87.1730591867880
struct[0].Gy[56,59] = 18.9579191056578
struct[0].Gy[56,60] = 57.6366430644055
struct[0].Gy[56,61] = 45.8900105086227
struct[0].Gy[56,62] = 87.1730591867880
struct[0].Gy[56,63] = 18.9579191056579
struct[0].Gy[56,64] = 105.571769313180
struct[0].Gy[56,65] = 54.0657727682604
struct[0].Gy[56,66] = -39.6392229058202
struct[0].Gy[56,67] = -10.2713736253513
struct[0].Gy[56,68] = -24.9575997948692
struct[0].Gy[56,69] = -23.2849644809540
struct[0].Gy[56,70] = -39.6392229058202
struct[0].Gy[56,71] = -10.2713736253513
struct[0].Gy[57,8] = -4.84676915585801
struct[0].Gy[57,9] = 26.5300693004806
struct[0].Gy[57,10] = -1.58482814504483
struct[0].Gy[57,11] = -7.89461337514770
struct[0].Gy[57,12] = -0.679918453285310
struct[0].Gy[57,13] = -7.72144347466701
struct[0].Gy[57,14] = -1.58482814504483
struct[0].Gy[57,15] = -7.89461337514771
struct[0].Gy[57,48] = -54.0657727682604
struct[0].Gy[57,49] = 105.571769313180
struct[0].Gy[57,50] = 10.2713736253513
struct[0].Gy[57,51] = -39.6392229058202
struct[0].Gy[57,52] = 23.2849644809540
struct[0].Gy[57,53] = -24.9575997948692
struct[0].Gy[57,54] = 10.2713736253513
struct[0].Gy[57,55] = -39.6392229058202
struct[0].Gy[57,56] = 112.978314692379
struct[0].Gy[57,57] = -237.673607926841
struct[0].Gy[57,58] = -18.9579191056578
struct[0].Gy[57,59] = 87.1730591867880
struct[0].Gy[57,60] = -45.8900105086227
struct[0].Gy[57,61] = 57.6366430644055
struct[0].Gy[57,62] = -18.9579191056579
struct[0].Gy[57,63] = 87.1730591867880
struct[0].Gy[57,64] = -54.0657727682604
struct[0].Gy[57,65] = 105.571769313180
struct[0].Gy[57,66] = 10.2713736253513
struct[0].Gy[57,67] = -39.6392229058202
struct[0].Gy[57,68] = 23.2849644809540
struct[0].Gy[57,69] = -24.9575997948692
struct[0].Gy[57,70] = 10.2713736253513
struct[0].Gy[57,71] = -39.6392229058202
struct[0].Gy[58,8] = -7.89461337514771
struct[0].Gy[58,9] = 1.58482814504483
struct[0].Gy[58,10] = 26.5300693004806
struct[0].Gy[58,11] = 4.84676915585801
struct[0].Gy[58,12] = -7.89461337514771
struct[0].Gy[58,13] = 1.58482814504483
struct[0].Gy[58,14] = -7.72144347466701
struct[0].Gy[58,15] = 0.679918453285308
struct[0].Gy[58,48] = -39.6392229058202
struct[0].Gy[58,49] = -10.2713736253513
struct[0].Gy[58,50] = 105.571769313180
struct[0].Gy[58,51] = 54.0657727682604
struct[0].Gy[58,52] = -39.6392229058201
struct[0].Gy[58,53] = -10.2713736253513
struct[0].Gy[58,54] = -24.9575997948692
struct[0].Gy[58,55] = -23.2849644809540
struct[0].Gy[58,56] = 87.1730591867880
struct[0].Gy[58,57] = 18.9579191056579
struct[0].Gy[58,58] = -237.673607926841
struct[0].Gy[58,59] = -112.978314692379
struct[0].Gy[58,60] = 87.1730591867880
struct[0].Gy[58,61] = 18.9579191056579
struct[0].Gy[58,62] = 57.6366430644054
struct[0].Gy[58,63] = 45.8900105086227
struct[0].Gy[58,64] = -39.6392229058202
struct[0].Gy[58,65] = -10.2713736253513
struct[0].Gy[58,66] = 105.571769313180
struct[0].Gy[58,67] = 54.0657727682604
struct[0].Gy[58,68] = -39.6392229058201
struct[0].Gy[58,69] = -10.2713736253513
struct[0].Gy[58,70] = -24.9575997948692
struct[0].Gy[58,71] = -23.2849644809540
struct[0].Gy[59,8] = -1.58482814504483
struct[0].Gy[59,9] = -7.89461337514771
struct[0].Gy[59,10] = -4.84676915585801
struct[0].Gy[59,11] = 26.5300693004806
struct[0].Gy[59,12] = -1.58482814504483
struct[0].Gy[59,13] = -7.89461337514771
struct[0].Gy[59,14] = -0.679918453285308
struct[0].Gy[59,15] = -7.72144347466701
struct[0].Gy[59,48] = 10.2713736253513
struct[0].Gy[59,49] = -39.6392229058202
struct[0].Gy[59,50] = -54.0657727682604
struct[0].Gy[59,51] = 105.571769313180
struct[0].Gy[59,52] = 10.2713736253513
struct[0].Gy[59,53] = -39.6392229058201
struct[0].Gy[59,54] = 23.2849644809540
struct[0].Gy[59,55] = -24.9575997948692
struct[0].Gy[59,56] = -18.9579191056579
struct[0].Gy[59,57] = 87.1730591867880
struct[0].Gy[59,58] = 112.978314692379
struct[0].Gy[59,59] = -237.673607926841
struct[0].Gy[59,60] = -18.9579191056579
struct[0].Gy[59,61] = 87.1730591867880
struct[0].Gy[59,62] = -45.8900105086227
struct[0].Gy[59,63] = 57.6366430644054
struct[0].Gy[59,64] = 10.2713736253513
struct[0].Gy[59,65] = -39.6392229058202
struct[0].Gy[59,66] = -54.0657727682604
struct[0].Gy[59,67] = 105.571769313180
struct[0].Gy[59,68] = 10.2713736253513
struct[0].Gy[59,69] = -39.6392229058201
struct[0].Gy[59,70] = 23.2849644809540
struct[0].Gy[59,71] = -24.9575997948692
struct[0].Gy[60,8] = -7.72144347466701
struct[0].Gy[60,9] = 0.679918453285310
struct[0].Gy[60,10] = -7.89461337514770
struct[0].Gy[60,11] = 1.58482814504483
struct[0].Gy[60,12] = 26.5300693004806
struct[0].Gy[60,13] = 4.84676915585801
struct[0].Gy[60,14] = -7.89461337514771
struct[0].Gy[60,15] = 1.58482814504483
struct[0].Gy[60,48] = -24.9575997948692
struct[0].Gy[60,49] = -23.2849644809540
struct[0].Gy[60,50] = -39.6392229058202
struct[0].Gy[60,51] = -10.2713736253513
struct[0].Gy[60,52] = 105.571769313180
struct[0].Gy[60,53] = 54.0657727682604
struct[0].Gy[60,54] = -39.6392229058201
struct[0].Gy[60,55] = -10.2713736253514
struct[0].Gy[60,56] = 57.6366430644054
struct[0].Gy[60,57] = 45.8900105086227
struct[0].Gy[60,58] = 87.1730591867881
struct[0].Gy[60,59] = 18.9579191056578
struct[0].Gy[60,60] = -237.673607926841
struct[0].Gy[60,61] = -112.978314692379
struct[0].Gy[60,62] = 87.1730591867880
struct[0].Gy[60,63] = 18.9579191056579
struct[0].Gy[60,64] = -24.9575997948692
struct[0].Gy[60,65] = -23.2849644809540
struct[0].Gy[60,66] = -39.6392229058202
struct[0].Gy[60,67] = -10.2713736253513
struct[0].Gy[60,68] = 105.571769313180
struct[0].Gy[60,69] = 54.0657727682604
struct[0].Gy[60,70] = -39.6392229058201
struct[0].Gy[60,71] = -10.2713736253514
struct[0].Gy[61,8] = -0.679918453285310
struct[0].Gy[61,9] = -7.72144347466701
struct[0].Gy[61,10] = -1.58482814504483
struct[0].Gy[61,11] = -7.89461337514770
struct[0].Gy[61,12] = -4.84676915585801
struct[0].Gy[61,13] = 26.5300693004806
struct[0].Gy[61,14] = -1.58482814504483
struct[0].Gy[61,15] = -7.89461337514771
struct[0].Gy[61,48] = 23.2849644809540
struct[0].Gy[61,49] = -24.9575997948692
struct[0].Gy[61,50] = 10.2713736253513
struct[0].Gy[61,51] = -39.6392229058202
struct[0].Gy[61,52] = -54.0657727682604
struct[0].Gy[61,53] = 105.571769313180
struct[0].Gy[61,54] = 10.2713736253514
struct[0].Gy[61,55] = -39.6392229058201
struct[0].Gy[61,56] = -45.8900105086227
struct[0].Gy[61,57] = 57.6366430644054
struct[0].Gy[61,58] = -18.9579191056578
struct[0].Gy[61,59] = 87.1730591867881
struct[0].Gy[61,60] = 112.978314692379
struct[0].Gy[61,61] = -237.673607926841
struct[0].Gy[61,62] = -18.9579191056579
struct[0].Gy[61,63] = 87.1730591867880
struct[0].Gy[61,64] = 23.2849644809540
struct[0].Gy[61,65] = -24.9575997948692
struct[0].Gy[61,66] = 10.2713736253513
struct[0].Gy[61,67] = -39.6392229058202
struct[0].Gy[61,68] = -54.0657727682604
struct[0].Gy[61,69] = 105.571769313180
struct[0].Gy[61,70] = 10.2713736253514
struct[0].Gy[61,71] = -39.6392229058201
struct[0].Gy[62,8] = -7.89461337514771
struct[0].Gy[62,9] = 1.58482814504483
struct[0].Gy[62,10] = -7.72144347466701
struct[0].Gy[62,11] = 0.679918453285308
struct[0].Gy[62,12] = -7.89461337514771
struct[0].Gy[62,13] = 1.58482814504483
struct[0].Gy[62,14] = 26.5300693004806
struct[0].Gy[62,15] = 4.84676915585801
struct[0].Gy[62,48] = -39.6392229058202
struct[0].Gy[62,49] = -10.2713736253513
struct[0].Gy[62,50] = -24.9575997948692
struct[0].Gy[62,51] = -23.2849644809540
struct[0].Gy[62,52] = -39.6392229058202
struct[0].Gy[62,53] = -10.2713736253513
struct[0].Gy[62,54] = 105.571769313180
struct[0].Gy[62,55] = 54.0657727682604
struct[0].Gy[62,56] = 87.1730591867880
struct[0].Gy[62,57] = 18.9579191056578
struct[0].Gy[62,58] = 57.6366430644054
struct[0].Gy[62,59] = 45.8900105086227
struct[0].Gy[62,60] = 87.1730591867880
struct[0].Gy[62,61] = 18.9579191056579
struct[0].Gy[62,62] = -237.673607926841
struct[0].Gy[62,63] = -112.978314692379
struct[0].Gy[62,64] = -39.6392229058202
struct[0].Gy[62,65] = -10.2713736253513
struct[0].Gy[62,66] = -24.9575997948692
struct[0].Gy[62,67] = -23.2849644809540
struct[0].Gy[62,68] = -39.6392229058202
struct[0].Gy[62,69] = -10.2713736253513
struct[0].Gy[62,70] = 105.571769313180
struct[0].Gy[62,71] = 54.0657727682604
struct[0].Gy[63,8] = -1.58482814504483
struct[0].Gy[63,9] = -7.89461337514771
struct[0].Gy[63,10] = -0.679918453285308
struct[0].Gy[63,11] = -7.72144347466701
struct[0].Gy[63,12] = -1.58482814504483
struct[0].Gy[63,13] = -7.89461337514771
struct[0].Gy[63,14] = -4.84676915585801
struct[0].Gy[63,15] = 26.5300693004806
struct[0].Gy[63,48] = 10.2713736253513
struct[0].Gy[63,49] = -39.6392229058202
struct[0].Gy[63,50] = 23.2849644809540
struct[0].Gy[63,51] = -24.9575997948692
struct[0].Gy[63,52] = 10.2713736253513
struct[0].Gy[63,53] = -39.6392229058202
struct[0].Gy[63,54] = -54.0657727682604
struct[0].Gy[63,55] = 105.571769313180
struct[0].Gy[63,56] = -18.9579191056578
struct[0].Gy[63,57] = 87.1730591867880
struct[0].Gy[63,58] = -45.8900105086227
struct[0].Gy[63,59] = 57.6366430644054
struct[0].Gy[63,60] = -18.9579191056579
struct[0].Gy[63,61] = 87.1730591867880
struct[0].Gy[63,62] = 112.978314692379
struct[0].Gy[63,63] = -237.673607926841
struct[0].Gy[63,64] = 10.2713736253513
struct[0].Gy[63,65] = -39.6392229058202
struct[0].Gy[63,66] = 23.2849644809540
struct[0].Gy[63,67] = -24.9575997948692
struct[0].Gy[63,68] = 10.2713736253513
struct[0].Gy[63,69] = -39.6392229058202
struct[0].Gy[63,70] = -54.0657727682604
struct[0].Gy[63,71] = 105.571769313180
struct[0].Gy[64,56] = 105.571769313180
struct[0].Gy[64,57] = 54.0657727682604
struct[0].Gy[64,58] = -39.6392229058202
struct[0].Gy[64,59] = -10.2713736253513
struct[0].Gy[64,60] = -24.9575997948692
struct[0].Gy[64,61] = -23.2849644809540
struct[0].Gy[64,62] = -39.6392229058202
struct[0].Gy[64,63] = -10.2713736253513
struct[0].Gy[64,64] = -237.673607926841
struct[0].Gy[64,65] = -112.978314692379
struct[0].Gy[64,66] = 87.1730591867880
struct[0].Gy[64,67] = 18.9579191056578
struct[0].Gy[64,68] = 57.6366430644055
struct[0].Gy[64,69] = 45.8900105086227
struct[0].Gy[64,70] = 87.1730591867880
struct[0].Gy[64,71] = 18.9579191056579
struct[0].Gy[64,72] = 105.571769313180
struct[0].Gy[64,73] = 54.0657727682604
struct[0].Gy[64,74] = -39.6392229058202
struct[0].Gy[64,75] = -10.2713736253513
struct[0].Gy[64,76] = -24.9575997948692
struct[0].Gy[64,77] = -23.2849644809540
struct[0].Gy[64,78] = -39.6392229058202
struct[0].Gy[64,79] = -10.2713736253513
struct[0].Gy[64,120] = 26.5300693004806
struct[0].Gy[64,121] = 4.84676915585801
struct[0].Gy[64,122] = -7.89461337514770
struct[0].Gy[64,123] = 1.58482814504483
struct[0].Gy[64,124] = -7.72144347466701
struct[0].Gy[64,125] = 0.679918453285310
struct[0].Gy[64,126] = -7.89461337514771
struct[0].Gy[64,127] = 1.58482814504483
struct[0].Gy[65,56] = -54.0657727682604
struct[0].Gy[65,57] = 105.571769313180
struct[0].Gy[65,58] = 10.2713736253513
struct[0].Gy[65,59] = -39.6392229058202
struct[0].Gy[65,60] = 23.2849644809540
struct[0].Gy[65,61] = -24.9575997948692
struct[0].Gy[65,62] = 10.2713736253513
struct[0].Gy[65,63] = -39.6392229058202
struct[0].Gy[65,64] = 112.978314692379
struct[0].Gy[65,65] = -237.673607926841
struct[0].Gy[65,66] = -18.9579191056578
struct[0].Gy[65,67] = 87.1730591867880
struct[0].Gy[65,68] = -45.8900105086227
struct[0].Gy[65,69] = 57.6366430644055
struct[0].Gy[65,70] = -18.9579191056579
struct[0].Gy[65,71] = 87.1730591867880
struct[0].Gy[65,72] = -54.0657727682604
struct[0].Gy[65,73] = 105.571769313180
struct[0].Gy[65,74] = 10.2713736253513
struct[0].Gy[65,75] = -39.6392229058202
struct[0].Gy[65,76] = 23.2849644809540
struct[0].Gy[65,77] = -24.9575997948692
struct[0].Gy[65,78] = 10.2713736253513
struct[0].Gy[65,79] = -39.6392229058202
struct[0].Gy[65,120] = -4.84676915585801
struct[0].Gy[65,121] = 26.5300693004806
struct[0].Gy[65,122] = -1.58482814504483
struct[0].Gy[65,123] = -7.89461337514770
struct[0].Gy[65,124] = -0.679918453285310
struct[0].Gy[65,125] = -7.72144347466701
struct[0].Gy[65,126] = -1.58482814504483
struct[0].Gy[65,127] = -7.89461337514771
struct[0].Gy[66,56] = -39.6392229058202
struct[0].Gy[66,57] = -10.2713736253513
struct[0].Gy[66,58] = 105.571769313180
struct[0].Gy[66,59] = 54.0657727682604
struct[0].Gy[66,60] = -39.6392229058201
struct[0].Gy[66,61] = -10.2713736253513
struct[0].Gy[66,62] = -24.9575997948692
struct[0].Gy[66,63] = -23.2849644809540
struct[0].Gy[66,64] = 87.1730591867880
struct[0].Gy[66,65] = 18.9579191056579
struct[0].Gy[66,66] = -237.673607926841
struct[0].Gy[66,67] = -112.978314692379
struct[0].Gy[66,68] = 87.1730591867880
struct[0].Gy[66,69] = 18.9579191056579
struct[0].Gy[66,70] = 57.6366430644054
struct[0].Gy[66,71] = 45.8900105086227
struct[0].Gy[66,72] = -39.6392229058202
struct[0].Gy[66,73] = -10.2713736253513
struct[0].Gy[66,74] = 105.571769313180
struct[0].Gy[66,75] = 54.0657727682604
struct[0].Gy[66,76] = -39.6392229058201
struct[0].Gy[66,77] = -10.2713736253513
struct[0].Gy[66,78] = -24.9575997948692
struct[0].Gy[66,79] = -23.2849644809540
struct[0].Gy[66,120] = -7.89461337514771
struct[0].Gy[66,121] = 1.58482814504483
struct[0].Gy[66,122] = 26.5300693004806
struct[0].Gy[66,123] = 4.84676915585801
struct[0].Gy[66,124] = -7.89461337514771
struct[0].Gy[66,125] = 1.58482814504483
struct[0].Gy[66,126] = -7.72144347466701
struct[0].Gy[66,127] = 0.679918453285308
struct[0].Gy[67,56] = 10.2713736253513
struct[0].Gy[67,57] = -39.6392229058202
struct[0].Gy[67,58] = -54.0657727682604
struct[0].Gy[67,59] = 105.571769313180
struct[0].Gy[67,60] = 10.2713736253513
struct[0].Gy[67,61] = -39.6392229058201
struct[0].Gy[67,62] = 23.2849644809540
struct[0].Gy[67,63] = -24.9575997948692
struct[0].Gy[67,64] = -18.9579191056579
struct[0].Gy[67,65] = 87.1730591867880
struct[0].Gy[67,66] = 112.978314692379
struct[0].Gy[67,67] = -237.673607926841
struct[0].Gy[67,68] = -18.9579191056579
struct[0].Gy[67,69] = 87.1730591867880
struct[0].Gy[67,70] = -45.8900105086227
struct[0].Gy[67,71] = 57.6366430644054
struct[0].Gy[67,72] = 10.2713736253513
struct[0].Gy[67,73] = -39.6392229058202
struct[0].Gy[67,74] = -54.0657727682604
struct[0].Gy[67,75] = 105.571769313180
struct[0].Gy[67,76] = 10.2713736253513
struct[0].Gy[67,77] = -39.6392229058201
struct[0].Gy[67,78] = 23.2849644809540
struct[0].Gy[67,79] = -24.9575997948692
struct[0].Gy[67,120] = -1.58482814504483
struct[0].Gy[67,121] = -7.89461337514771
struct[0].Gy[67,122] = -4.84676915585801
struct[0].Gy[67,123] = 26.5300693004806
struct[0].Gy[67,124] = -1.58482814504483
struct[0].Gy[67,125] = -7.89461337514771
struct[0].Gy[67,126] = -0.679918453285308
struct[0].Gy[67,127] = -7.72144347466701
struct[0].Gy[68,56] = -24.9575997948692
struct[0].Gy[68,57] = -23.2849644809540
struct[0].Gy[68,58] = -39.6392229058202
struct[0].Gy[68,59] = -10.2713736253513
struct[0].Gy[68,60] = 105.571769313180
struct[0].Gy[68,61] = 54.0657727682604
struct[0].Gy[68,62] = -39.6392229058201
struct[0].Gy[68,63] = -10.2713736253514
struct[0].Gy[68,64] = 57.6366430644054
struct[0].Gy[68,65] = 45.8900105086227
struct[0].Gy[68,66] = 87.1730591867881
struct[0].Gy[68,67] = 18.9579191056578
struct[0].Gy[68,68] = -237.673607926841
struct[0].Gy[68,69] = -112.978314692379
struct[0].Gy[68,70] = 87.1730591867880
struct[0].Gy[68,71] = 18.9579191056579
struct[0].Gy[68,72] = -24.9575997948692
struct[0].Gy[68,73] = -23.2849644809540
struct[0].Gy[68,74] = -39.6392229058202
struct[0].Gy[68,75] = -10.2713736253513
struct[0].Gy[68,76] = 105.571769313180
struct[0].Gy[68,77] = 54.0657727682604
struct[0].Gy[68,78] = -39.6392229058201
struct[0].Gy[68,79] = -10.2713736253514
struct[0].Gy[68,120] = -7.72144347466701
struct[0].Gy[68,121] = 0.679918453285310
struct[0].Gy[68,122] = -7.89461337514770
struct[0].Gy[68,123] = 1.58482814504483
struct[0].Gy[68,124] = 26.5300693004806
struct[0].Gy[68,125] = 4.84676915585801
struct[0].Gy[68,126] = -7.89461337514771
struct[0].Gy[68,127] = 1.58482814504483
struct[0].Gy[69,56] = 23.2849644809540
struct[0].Gy[69,57] = -24.9575997948692
struct[0].Gy[69,58] = 10.2713736253513
struct[0].Gy[69,59] = -39.6392229058202
struct[0].Gy[69,60] = -54.0657727682604
struct[0].Gy[69,61] = 105.571769313180
struct[0].Gy[69,62] = 10.2713736253514
struct[0].Gy[69,63] = -39.6392229058201
struct[0].Gy[69,64] = -45.8900105086227
struct[0].Gy[69,65] = 57.6366430644054
struct[0].Gy[69,66] = -18.9579191056578
struct[0].Gy[69,67] = 87.1730591867881
struct[0].Gy[69,68] = 112.978314692379
struct[0].Gy[69,69] = -237.673607926841
struct[0].Gy[69,70] = -18.9579191056579
struct[0].Gy[69,71] = 87.1730591867880
struct[0].Gy[69,72] = 23.2849644809540
struct[0].Gy[69,73] = -24.9575997948692
struct[0].Gy[69,74] = 10.2713736253513
struct[0].Gy[69,75] = -39.6392229058202
struct[0].Gy[69,76] = -54.0657727682604
struct[0].Gy[69,77] = 105.571769313180
struct[0].Gy[69,78] = 10.2713736253514
struct[0].Gy[69,79] = -39.6392229058201
struct[0].Gy[69,120] = -0.679918453285310
struct[0].Gy[69,121] = -7.72144347466701
struct[0].Gy[69,122] = -1.58482814504483
struct[0].Gy[69,123] = -7.89461337514770
struct[0].Gy[69,124] = -4.84676915585801
struct[0].Gy[69,125] = 26.5300693004806
struct[0].Gy[69,126] = -1.58482814504483
struct[0].Gy[69,127] = -7.89461337514771
struct[0].Gy[70,56] = -39.6392229058202
struct[0].Gy[70,57] = -10.2713736253513
struct[0].Gy[70,58] = -24.9575997948692
struct[0].Gy[70,59] = -23.2849644809540
struct[0].Gy[70,60] = -39.6392229058202
struct[0].Gy[70,61] = -10.2713736253513
struct[0].Gy[70,62] = 105.571769313180
struct[0].Gy[70,63] = 54.0657727682604
struct[0].Gy[70,64] = 87.1730591867880
struct[0].Gy[70,65] = 18.9579191056578
struct[0].Gy[70,66] = 57.6366430644054
struct[0].Gy[70,67] = 45.8900105086227
struct[0].Gy[70,68] = 87.1730591867880
struct[0].Gy[70,69] = 18.9579191056579
struct[0].Gy[70,70] = -237.698607926841
struct[0].Gy[70,71] = -112.978314692379
struct[0].Gy[70,72] = -39.6392229058202
struct[0].Gy[70,73] = -10.2713736253513
struct[0].Gy[70,74] = -24.9575997948692
struct[0].Gy[70,75] = -23.2849644809540
struct[0].Gy[70,76] = -39.6392229058202
struct[0].Gy[70,77] = -10.2713736253513
struct[0].Gy[70,78] = 105.571769313180
struct[0].Gy[70,79] = 54.0657727682604
struct[0].Gy[70,120] = -7.89461337514771
struct[0].Gy[70,121] = 1.58482814504483
struct[0].Gy[70,122] = -7.72144347466701
struct[0].Gy[70,123] = 0.679918453285308
struct[0].Gy[70,124] = -7.89461337514771
struct[0].Gy[70,125] = 1.58482814504483
struct[0].Gy[70,126] = 26.5300693004806
struct[0].Gy[70,127] = 4.84676915585801
struct[0].Gy[71,56] = 10.2713736253513
struct[0].Gy[71,57] = -39.6392229058202
struct[0].Gy[71,58] = 23.2849644809540
struct[0].Gy[71,59] = -24.9575997948692
struct[0].Gy[71,60] = 10.2713736253513
struct[0].Gy[71,61] = -39.6392229058202
struct[0].Gy[71,62] = -54.0657727682604
struct[0].Gy[71,63] = 105.571769313180
struct[0].Gy[71,64] = -18.9579191056578
struct[0].Gy[71,65] = 87.1730591867880
struct[0].Gy[71,66] = -45.8900105086227
struct[0].Gy[71,67] = 57.6366430644054
struct[0].Gy[71,68] = -18.9579191056579
struct[0].Gy[71,69] = 87.1730591867880
struct[0].Gy[71,70] = 112.978314692379
struct[0].Gy[71,71] = -237.698607926841
struct[0].Gy[71,72] = 10.2713736253513
struct[0].Gy[71,73] = -39.6392229058202
struct[0].Gy[71,74] = 23.2849644809540
struct[0].Gy[71,75] = -24.9575997948692
struct[0].Gy[71,76] = 10.2713736253513
struct[0].Gy[71,77] = -39.6392229058202
struct[0].Gy[71,78] = -54.0657727682604
struct[0].Gy[71,79] = 105.571769313180
struct[0].Gy[71,120] = -1.58482814504483
struct[0].Gy[71,121] = -7.89461337514771
struct[0].Gy[71,122] = -0.679918453285308
struct[0].Gy[71,123] = -7.72144347466701
struct[0].Gy[71,124] = -1.58482814504483
struct[0].Gy[71,125] = -7.89461337514771
struct[0].Gy[71,126] = -4.84676915585801
struct[0].Gy[71,127] = 26.5300693004806
struct[0].Gy[72,64] = 105.571769313180
struct[0].Gy[72,65] = 54.0657727682604
struct[0].Gy[72,66] = -39.6392229058202
struct[0].Gy[72,67] = -10.2713736253513
struct[0].Gy[72,68] = -24.9575997948692
struct[0].Gy[72,69] = -23.2849644809540
struct[0].Gy[72,70] = -39.6392229058202
struct[0].Gy[72,71] = -10.2713736253513
struct[0].Gy[72,72] = -211.143538626360
struct[0].Gy[72,73] = -108.131545536521
struct[0].Gy[72,74] = 79.2784458116403
struct[0].Gy[72,75] = 20.5427472507027
struct[0].Gy[72,76] = 49.9151995897384
struct[0].Gy[72,77] = 46.5699289619080
struct[0].Gy[72,78] = 79.2784458116403
struct[0].Gy[72,79] = 20.5427472507027
struct[0].Gy[72,80] = 105.571769313180
struct[0].Gy[72,81] = 54.0657727682604
struct[0].Gy[72,82] = -39.6392229058202
struct[0].Gy[72,83] = -10.2713736253513
struct[0].Gy[72,84] = -24.9575997948692
struct[0].Gy[72,85] = -23.2849644809540
struct[0].Gy[72,86] = -39.6392229058202
struct[0].Gy[72,87] = -10.2713736253513
struct[0].Gy[73,64] = -54.0657727682604
struct[0].Gy[73,65] = 105.571769313180
struct[0].Gy[73,66] = 10.2713736253513
struct[0].Gy[73,67] = -39.6392229058202
struct[0].Gy[73,68] = 23.2849644809540
struct[0].Gy[73,69] = -24.9575997948692
struct[0].Gy[73,70] = 10.2713736253513
struct[0].Gy[73,71] = -39.6392229058202
struct[0].Gy[73,72] = 108.131545536521
struct[0].Gy[73,73] = -211.143538626360
struct[0].Gy[73,74] = -20.5427472507027
struct[0].Gy[73,75] = 79.2784458116403
struct[0].Gy[73,76] = -46.5699289619080
struct[0].Gy[73,77] = 49.9151995897384
struct[0].Gy[73,78] = -20.5427472507027
struct[0].Gy[73,79] = 79.2784458116403
struct[0].Gy[73,80] = -54.0657727682604
struct[0].Gy[73,81] = 105.571769313180
struct[0].Gy[73,82] = 10.2713736253513
struct[0].Gy[73,83] = -39.6392229058202
struct[0].Gy[73,84] = 23.2849644809540
struct[0].Gy[73,85] = -24.9575997948692
struct[0].Gy[73,86] = 10.2713736253513
struct[0].Gy[73,87] = -39.6392229058202
struct[0].Gy[74,64] = -39.6392229058202
struct[0].Gy[74,65] = -10.2713736253513
struct[0].Gy[74,66] = 105.571769313180
struct[0].Gy[74,67] = 54.0657727682604
struct[0].Gy[74,68] = -39.6392229058201
struct[0].Gy[74,69] = -10.2713736253513
struct[0].Gy[74,70] = -24.9575997948692
struct[0].Gy[74,71] = -23.2849644809540
struct[0].Gy[74,72] = 79.2784458116403
struct[0].Gy[74,73] = 20.5427472507027
struct[0].Gy[74,74] = -211.143538626360
struct[0].Gy[74,75] = -108.131545536521
struct[0].Gy[74,76] = 79.2784458116403
struct[0].Gy[74,77] = 20.5427472507027
struct[0].Gy[74,78] = 49.9151995897384
struct[0].Gy[74,79] = 46.5699289619080
struct[0].Gy[74,80] = -39.6392229058202
struct[0].Gy[74,81] = -10.2713736253513
struct[0].Gy[74,82] = 105.571769313180
struct[0].Gy[74,83] = 54.0657727682604
struct[0].Gy[74,84] = -39.6392229058201
struct[0].Gy[74,85] = -10.2713736253513
struct[0].Gy[74,86] = -24.9575997948692
struct[0].Gy[74,87] = -23.2849644809540
struct[0].Gy[75,64] = 10.2713736253513
struct[0].Gy[75,65] = -39.6392229058202
struct[0].Gy[75,66] = -54.0657727682604
struct[0].Gy[75,67] = 105.571769313180
struct[0].Gy[75,68] = 10.2713736253513
struct[0].Gy[75,69] = -39.6392229058201
struct[0].Gy[75,70] = 23.2849644809540
struct[0].Gy[75,71] = -24.9575997948692
struct[0].Gy[75,72] = -20.5427472507027
struct[0].Gy[75,73] = 79.2784458116403
struct[0].Gy[75,74] = 108.131545536521
struct[0].Gy[75,75] = -211.143538626360
struct[0].Gy[75,76] = -20.5427472507027
struct[0].Gy[75,77] = 79.2784458116403
struct[0].Gy[75,78] = -46.5699289619080
struct[0].Gy[75,79] = 49.9151995897384
struct[0].Gy[75,80] = 10.2713736253513
struct[0].Gy[75,81] = -39.6392229058202
struct[0].Gy[75,82] = -54.0657727682604
struct[0].Gy[75,83] = 105.571769313180
struct[0].Gy[75,84] = 10.2713736253513
struct[0].Gy[75,85] = -39.6392229058201
struct[0].Gy[75,86] = 23.2849644809540
struct[0].Gy[75,87] = -24.9575997948692
struct[0].Gy[76,64] = -24.9575997948692
struct[0].Gy[76,65] = -23.2849644809540
struct[0].Gy[76,66] = -39.6392229058202
struct[0].Gy[76,67] = -10.2713736253513
struct[0].Gy[76,68] = 105.571769313180
struct[0].Gy[76,69] = 54.0657727682604
struct[0].Gy[76,70] = -39.6392229058201
struct[0].Gy[76,71] = -10.2713736253514
struct[0].Gy[76,72] = 49.9151995897384
struct[0].Gy[76,73] = 46.5699289619080
struct[0].Gy[76,74] = 79.2784458116404
struct[0].Gy[76,75] = 20.5427472507027
struct[0].Gy[76,76] = -211.143538626360
struct[0].Gy[76,77] = -108.131545536521
struct[0].Gy[76,78] = 79.2784458116403
struct[0].Gy[76,79] = 20.5427472507027
struct[0].Gy[76,80] = -24.9575997948692
struct[0].Gy[76,81] = -23.2849644809540
struct[0].Gy[76,82] = -39.6392229058202
struct[0].Gy[76,83] = -10.2713736253513
struct[0].Gy[76,84] = 105.571769313180
struct[0].Gy[76,85] = 54.0657727682604
struct[0].Gy[76,86] = -39.6392229058201
struct[0].Gy[76,87] = -10.2713736253514
struct[0].Gy[77,64] = 23.2849644809540
struct[0].Gy[77,65] = -24.9575997948692
struct[0].Gy[77,66] = 10.2713736253513
struct[0].Gy[77,67] = -39.6392229058202
struct[0].Gy[77,68] = -54.0657727682604
struct[0].Gy[77,69] = 105.571769313180
struct[0].Gy[77,70] = 10.2713736253514
struct[0].Gy[77,71] = -39.6392229058201
struct[0].Gy[77,72] = -46.5699289619080
struct[0].Gy[77,73] = 49.9151995897384
struct[0].Gy[77,74] = -20.5427472507027
struct[0].Gy[77,75] = 79.2784458116404
struct[0].Gy[77,76] = 108.131545536521
struct[0].Gy[77,77] = -211.143538626360
struct[0].Gy[77,78] = -20.5427472507027
struct[0].Gy[77,79] = 79.2784458116403
struct[0].Gy[77,80] = 23.2849644809540
struct[0].Gy[77,81] = -24.9575997948692
struct[0].Gy[77,82] = 10.2713736253513
struct[0].Gy[77,83] = -39.6392229058202
struct[0].Gy[77,84] = -54.0657727682604
struct[0].Gy[77,85] = 105.571769313180
struct[0].Gy[77,86] = 10.2713736253514
struct[0].Gy[77,87] = -39.6392229058201
struct[0].Gy[78,64] = -39.6392229058202
struct[0].Gy[78,65] = -10.2713736253513
struct[0].Gy[78,66] = -24.9575997948692
struct[0].Gy[78,67] = -23.2849644809540
struct[0].Gy[78,68] = -39.6392229058202
struct[0].Gy[78,69] = -10.2713736253513
struct[0].Gy[78,70] = 105.571769313180
struct[0].Gy[78,71] = 54.0657727682604
struct[0].Gy[78,72] = 79.2784458116403
struct[0].Gy[78,73] = 20.5427472507027
struct[0].Gy[78,74] = 49.9151995897384
struct[0].Gy[78,75] = 46.5699289619080
struct[0].Gy[78,76] = 79.2784458116403
struct[0].Gy[78,77] = 20.5427472507027
struct[0].Gy[78,78] = -211.143538626360
struct[0].Gy[78,79] = -108.131545536521
struct[0].Gy[78,80] = -39.6392229058202
struct[0].Gy[78,81] = -10.2713736253513
struct[0].Gy[78,82] = -24.9575997948692
struct[0].Gy[78,83] = -23.2849644809540
struct[0].Gy[78,84] = -39.6392229058202
struct[0].Gy[78,85] = -10.2713736253513
struct[0].Gy[78,86] = 105.571769313180
struct[0].Gy[78,87] = 54.0657727682604
struct[0].Gy[79,64] = 10.2713736253513
struct[0].Gy[79,65] = -39.6392229058202
struct[0].Gy[79,66] = 23.2849644809540
struct[0].Gy[79,67] = -24.9575997948692
struct[0].Gy[79,68] = 10.2713736253513
struct[0].Gy[79,69] = -39.6392229058202
struct[0].Gy[79,70] = -54.0657727682604
struct[0].Gy[79,71] = 105.571769313180
struct[0].Gy[79,72] = -20.5427472507027
struct[0].Gy[79,73] = 79.2784458116403
struct[0].Gy[79,74] = -46.5699289619080
struct[0].Gy[79,75] = 49.9151995897384
struct[0].Gy[79,76] = -20.5427472507027
struct[0].Gy[79,77] = 79.2784458116403
struct[0].Gy[79,78] = 108.131545536521
struct[0].Gy[79,79] = -211.143538626360
struct[0].Gy[79,80] = 10.2713736253513
struct[0].Gy[79,81] = -39.6392229058202
struct[0].Gy[79,82] = 23.2849644809540
struct[0].Gy[79,83] = -24.9575997948692
struct[0].Gy[79,84] = 10.2713736253513
struct[0].Gy[79,85] = -39.6392229058202
struct[0].Gy[79,86] = -54.0657727682604
struct[0].Gy[79,87] = 105.571769313180
struct[0].Gy[80,24] = 30.9517475172273
struct[0].Gy[80,25] = 5.65456401516768
struct[0].Gy[80,26] = -9.21038227100566
struct[0].Gy[80,27] = 1.84896616921897
struct[0].Gy[80,28] = -9.00835072044485
struct[0].Gy[80,29] = 0.793238195499529
struct[0].Gy[80,30] = -9.21038227100566
struct[0].Gy[80,31] = 1.84896616921897
struct[0].Gy[80,72] = 105.571769313180
struct[0].Gy[80,73] = 54.0657727682604
struct[0].Gy[80,74] = -39.6392229058202
struct[0].Gy[80,75] = -10.2713736253513
struct[0].Gy[80,76] = -24.9575997948692
struct[0].Gy[80,77] = -23.2849644809540
struct[0].Gy[80,78] = -39.6392229058202
struct[0].Gy[80,79] = -10.2713736253513
struct[0].Gy[80,80] = -242.095286143588
struct[0].Gy[80,81] = -113.786109551688
struct[0].Gy[80,82] = 88.4888280826460
struct[0].Gy[80,83] = 18.6937810814837
struct[0].Gy[80,84] = 58.9235503101833
struct[0].Gy[80,85] = 45.7766907664085
struct[0].Gy[80,86] = 88.4888280826460
struct[0].Gy[80,87] = 18.6937810814837
struct[0].Gy[80,88] = 105.571769313180
struct[0].Gy[80,89] = 54.0657727682604
struct[0].Gy[80,90] = -39.6392229058202
struct[0].Gy[80,91] = -10.2713736253513
struct[0].Gy[80,92] = -24.9575997948692
struct[0].Gy[80,93] = -23.2849644809540
struct[0].Gy[80,94] = -39.6392229058202
struct[0].Gy[80,95] = -10.2713736253513
struct[0].Gy[81,24] = -5.65456401516768
struct[0].Gy[81,25] = 30.9517475172273
struct[0].Gy[81,26] = -1.84896616921897
struct[0].Gy[81,27] = -9.21038227100566
struct[0].Gy[81,28] = -0.793238195499529
struct[0].Gy[81,29] = -9.00835072044485
struct[0].Gy[81,30] = -1.84896616921897
struct[0].Gy[81,31] = -9.21038227100566
struct[0].Gy[81,72] = -54.0657727682604
struct[0].Gy[81,73] = 105.571769313180
struct[0].Gy[81,74] = 10.2713736253513
struct[0].Gy[81,75] = -39.6392229058202
struct[0].Gy[81,76] = 23.2849644809540
struct[0].Gy[81,77] = -24.9575997948692
struct[0].Gy[81,78] = 10.2713736253513
struct[0].Gy[81,79] = -39.6392229058202
struct[0].Gy[81,80] = 113.786109551688
struct[0].Gy[81,81] = -242.095286143588
struct[0].Gy[81,82] = -18.6937810814837
struct[0].Gy[81,83] = 88.4888280826460
struct[0].Gy[81,84] = -45.7766907664085
struct[0].Gy[81,85] = 58.9235503101833
struct[0].Gy[81,86] = -18.6937810814837
struct[0].Gy[81,87] = 88.4888280826460
struct[0].Gy[81,88] = -54.0657727682604
struct[0].Gy[81,89] = 105.571769313180
struct[0].Gy[81,90] = 10.2713736253513
struct[0].Gy[81,91] = -39.6392229058202
struct[0].Gy[81,92] = 23.2849644809540
struct[0].Gy[81,93] = -24.9575997948692
struct[0].Gy[81,94] = 10.2713736253513
struct[0].Gy[81,95] = -39.6392229058202
struct[0].Gy[82,24] = -9.21038227100566
struct[0].Gy[82,25] = 1.84896616921897
struct[0].Gy[82,26] = 30.9517475172273
struct[0].Gy[82,27] = 5.65456401516768
struct[0].Gy[82,28] = -9.21038227100566
struct[0].Gy[82,29] = 1.84896616921897
struct[0].Gy[82,30] = -9.00835072044485
struct[0].Gy[82,31] = 0.793238195499528
struct[0].Gy[82,72] = -39.6392229058202
struct[0].Gy[82,73] = -10.2713736253513
struct[0].Gy[82,74] = 105.571769313180
struct[0].Gy[82,75] = 54.0657727682604
struct[0].Gy[82,76] = -39.6392229058201
struct[0].Gy[82,77] = -10.2713736253513
struct[0].Gy[82,78] = -24.9575997948692
struct[0].Gy[82,79] = -23.2849644809540
struct[0].Gy[82,80] = 88.4888280826460
struct[0].Gy[82,81] = 18.6937810814837
struct[0].Gy[82,82] = -242.095286143588
struct[0].Gy[82,83] = -113.786109551688
struct[0].Gy[82,84] = 88.4888280826460
struct[0].Gy[82,85] = 18.6937810814837
struct[0].Gy[82,86] = 58.9235503101833
struct[0].Gy[82,87] = 45.7766907664085
struct[0].Gy[82,88] = -39.6392229058202
struct[0].Gy[82,89] = -10.2713736253513
struct[0].Gy[82,90] = 105.571769313180
struct[0].Gy[82,91] = 54.0657727682604
struct[0].Gy[82,92] = -39.6392229058201
struct[0].Gy[82,93] = -10.2713736253513
struct[0].Gy[82,94] = -24.9575997948692
struct[0].Gy[82,95] = -23.2849644809540
struct[0].Gy[83,24] = -1.84896616921897
struct[0].Gy[83,25] = -9.21038227100566
struct[0].Gy[83,26] = -5.65456401516768
struct[0].Gy[83,27] = 30.9517475172273
struct[0].Gy[83,28] = -1.84896616921897
struct[0].Gy[83,29] = -9.21038227100566
struct[0].Gy[83,30] = -0.793238195499528
struct[0].Gy[83,31] = -9.00835072044485
struct[0].Gy[83,72] = 10.2713736253513
struct[0].Gy[83,73] = -39.6392229058202
struct[0].Gy[83,74] = -54.0657727682604
struct[0].Gy[83,75] = 105.571769313180
struct[0].Gy[83,76] = 10.2713736253513
struct[0].Gy[83,77] = -39.6392229058201
struct[0].Gy[83,78] = 23.2849644809540
struct[0].Gy[83,79] = -24.9575997948692
struct[0].Gy[83,80] = -18.6937810814837
struct[0].Gy[83,81] = 88.4888280826460
struct[0].Gy[83,82] = 113.786109551688
struct[0].Gy[83,83] = -242.095286143588
struct[0].Gy[83,84] = -18.6937810814837
struct[0].Gy[83,85] = 88.4888280826460
struct[0].Gy[83,86] = -45.7766907664085
struct[0].Gy[83,87] = 58.9235503101833
struct[0].Gy[83,88] = 10.2713736253513
struct[0].Gy[83,89] = -39.6392229058202
struct[0].Gy[83,90] = -54.0657727682604
struct[0].Gy[83,91] = 105.571769313180
struct[0].Gy[83,92] = 10.2713736253513
struct[0].Gy[83,93] = -39.6392229058201
struct[0].Gy[83,94] = 23.2849644809540
struct[0].Gy[83,95] = -24.9575997948692
struct[0].Gy[84,24] = -9.00835072044484
struct[0].Gy[84,25] = 0.793238195499527
struct[0].Gy[84,26] = -9.21038227100566
struct[0].Gy[84,27] = 1.84896616921897
struct[0].Gy[84,28] = 30.9517475172273
struct[0].Gy[84,29] = 5.65456401516768
struct[0].Gy[84,30] = -9.21038227100566
struct[0].Gy[84,31] = 1.84896616921897
struct[0].Gy[84,72] = -24.9575997948692
struct[0].Gy[84,73] = -23.2849644809540
struct[0].Gy[84,74] = -39.6392229058202
struct[0].Gy[84,75] = -10.2713736253513
struct[0].Gy[84,76] = 105.571769313180
struct[0].Gy[84,77] = 54.0657727682604
struct[0].Gy[84,78] = -39.6392229058201
struct[0].Gy[84,79] = -10.2713736253514
struct[0].Gy[84,80] = 58.9235503101833
struct[0].Gy[84,81] = 45.7766907664085
struct[0].Gy[84,82] = 88.4888280826461
struct[0].Gy[84,83] = 18.6937810814837
struct[0].Gy[84,84] = -242.095286143588
struct[0].Gy[84,85] = -113.786109551688
struct[0].Gy[84,86] = 88.4888280826459
struct[0].Gy[84,87] = 18.6937810814837
struct[0].Gy[84,88] = -24.9575997948692
struct[0].Gy[84,89] = -23.2849644809540
struct[0].Gy[84,90] = -39.6392229058202
struct[0].Gy[84,91] = -10.2713736253513
struct[0].Gy[84,92] = 105.571769313180
struct[0].Gy[84,93] = 54.0657727682604
struct[0].Gy[84,94] = -39.6392229058201
struct[0].Gy[84,95] = -10.2713736253514
struct[0].Gy[85,24] = -0.793238195499527
struct[0].Gy[85,25] = -9.00835072044484
struct[0].Gy[85,26] = -1.84896616921897
struct[0].Gy[85,27] = -9.21038227100566
struct[0].Gy[85,28] = -5.65456401516768
struct[0].Gy[85,29] = 30.9517475172273
struct[0].Gy[85,30] = -1.84896616921897
struct[0].Gy[85,31] = -9.21038227100566
struct[0].Gy[85,72] = 23.2849644809540
struct[0].Gy[85,73] = -24.9575997948692
struct[0].Gy[85,74] = 10.2713736253513
struct[0].Gy[85,75] = -39.6392229058202
struct[0].Gy[85,76] = -54.0657727682604
struct[0].Gy[85,77] = 105.571769313180
struct[0].Gy[85,78] = 10.2713736253514
struct[0].Gy[85,79] = -39.6392229058201
struct[0].Gy[85,80] = -45.7766907664085
struct[0].Gy[85,81] = 58.9235503101833
struct[0].Gy[85,82] = -18.6937810814837
struct[0].Gy[85,83] = 88.4888280826461
struct[0].Gy[85,84] = 113.786109551688
struct[0].Gy[85,85] = -242.095286143588
struct[0].Gy[85,86] = -18.6937810814837
struct[0].Gy[85,87] = 88.4888280826459
struct[0].Gy[85,88] = 23.2849644809540
struct[0].Gy[85,89] = -24.9575997948692
struct[0].Gy[85,90] = 10.2713736253513
struct[0].Gy[85,91] = -39.6392229058202
struct[0].Gy[85,92] = -54.0657727682604
struct[0].Gy[85,93] = 105.571769313180
struct[0].Gy[85,94] = 10.2713736253514
struct[0].Gy[85,95] = -39.6392229058201
struct[0].Gy[86,24] = -9.21038227100566
struct[0].Gy[86,25] = 1.84896616921897
struct[0].Gy[86,26] = -9.00835072044485
struct[0].Gy[86,27] = 0.793238195499527
struct[0].Gy[86,28] = -9.21038227100566
struct[0].Gy[86,29] = 1.84896616921897
struct[0].Gy[86,30] = 30.9517475172273
struct[0].Gy[86,31] = 5.65456401516768
struct[0].Gy[86,72] = -39.6392229058202
struct[0].Gy[86,73] = -10.2713736253513
struct[0].Gy[86,74] = -24.9575997948692
struct[0].Gy[86,75] = -23.2849644809540
struct[0].Gy[86,76] = -39.6392229058202
struct[0].Gy[86,77] = -10.2713736253513
struct[0].Gy[86,78] = 105.571769313180
struct[0].Gy[86,79] = 54.0657727682604
struct[0].Gy[86,80] = 88.4888280826460
struct[0].Gy[86,81] = 18.6937810814837
struct[0].Gy[86,82] = 58.9235503101832
struct[0].Gy[86,83] = 45.7766907664085
struct[0].Gy[86,84] = 88.4888280826460
struct[0].Gy[86,85] = 18.6937810814837
struct[0].Gy[86,86] = -242.120286143588
struct[0].Gy[86,87] = -113.786109551688
struct[0].Gy[86,88] = -39.6392229058202
struct[0].Gy[86,89] = -10.2713736253513
struct[0].Gy[86,90] = -24.9575997948692
struct[0].Gy[86,91] = -23.2849644809540
struct[0].Gy[86,92] = -39.6392229058202
struct[0].Gy[86,93] = -10.2713736253513
struct[0].Gy[86,94] = 105.571769313180
struct[0].Gy[86,95] = 54.0657727682604
struct[0].Gy[87,24] = -1.84896616921897
struct[0].Gy[87,25] = -9.21038227100566
struct[0].Gy[87,26] = -0.793238195499527
struct[0].Gy[87,27] = -9.00835072044485
struct[0].Gy[87,28] = -1.84896616921897
struct[0].Gy[87,29] = -9.21038227100566
struct[0].Gy[87,30] = -5.65456401516768
struct[0].Gy[87,31] = 30.9517475172273
struct[0].Gy[87,72] = 10.2713736253513
struct[0].Gy[87,73] = -39.6392229058202
struct[0].Gy[87,74] = 23.2849644809540
struct[0].Gy[87,75] = -24.9575997948692
struct[0].Gy[87,76] = 10.2713736253513
struct[0].Gy[87,77] = -39.6392229058202
struct[0].Gy[87,78] = -54.0657727682604
struct[0].Gy[87,79] = 105.571769313180
struct[0].Gy[87,80] = -18.6937810814837
struct[0].Gy[87,81] = 88.4888280826460
struct[0].Gy[87,82] = -45.7766907664085
struct[0].Gy[87,83] = 58.9235503101832
struct[0].Gy[87,84] = -18.6937810814837
struct[0].Gy[87,85] = 88.4888280826460
struct[0].Gy[87,86] = 113.786109551688
struct[0].Gy[87,87] = -242.120286143588
struct[0].Gy[87,88] = 10.2713736253513
struct[0].Gy[87,89] = -39.6392229058202
struct[0].Gy[87,90] = 23.2849644809540
struct[0].Gy[87,91] = -24.9575997948692
struct[0].Gy[87,92] = 10.2713736253513
struct[0].Gy[87,93] = -39.6392229058202
struct[0].Gy[87,94] = -54.0657727682604
struct[0].Gy[87,95] = 105.571769313180
struct[0].Gy[88,80] = 105.571769313180
struct[0].Gy[88,81] = 54.0657727682604
struct[0].Gy[88,82] = -39.6392229058202
struct[0].Gy[88,83] = -10.2713736253513
struct[0].Gy[88,84] = -24.9575997948692
struct[0].Gy[88,85] = -23.2849644809540
struct[0].Gy[88,86] = -39.6392229058202
struct[0].Gy[88,87] = -10.2713736253513
struct[0].Gy[88,88] = -211.143538626360
struct[0].Gy[88,89] = -108.131545536521
struct[0].Gy[88,90] = 79.2784458116403
struct[0].Gy[88,91] = 20.5427472507027
struct[0].Gy[88,92] = 49.9151995897384
struct[0].Gy[88,93] = 46.5699289619080
struct[0].Gy[88,94] = 79.2784458116403
struct[0].Gy[88,95] = 20.5427472507027
struct[0].Gy[88,96] = 105.571769313180
struct[0].Gy[88,97] = 54.0657727682604
struct[0].Gy[88,98] = -39.6392229058202
struct[0].Gy[88,99] = -10.2713736253513
struct[0].Gy[88,100] = -24.9575997948692
struct[0].Gy[88,101] = -23.2849644809540
struct[0].Gy[88,102] = -39.6392229058202
struct[0].Gy[88,103] = -10.2713736253513
struct[0].Gy[89,80] = -54.0657727682604
struct[0].Gy[89,81] = 105.571769313180
struct[0].Gy[89,82] = 10.2713736253513
struct[0].Gy[89,83] = -39.6392229058202
struct[0].Gy[89,84] = 23.2849644809540
struct[0].Gy[89,85] = -24.9575997948692
struct[0].Gy[89,86] = 10.2713736253513
struct[0].Gy[89,87] = -39.6392229058202
struct[0].Gy[89,88] = 108.131545536521
struct[0].Gy[89,89] = -211.143538626360
struct[0].Gy[89,90] = -20.5427472507027
struct[0].Gy[89,91] = 79.2784458116403
struct[0].Gy[89,92] = -46.5699289619080
struct[0].Gy[89,93] = 49.9151995897384
struct[0].Gy[89,94] = -20.5427472507027
struct[0].Gy[89,95] = 79.2784458116403
struct[0].Gy[89,96] = -54.0657727682604
struct[0].Gy[89,97] = 105.571769313180
struct[0].Gy[89,98] = 10.2713736253513
struct[0].Gy[89,99] = -39.6392229058202
struct[0].Gy[89,100] = 23.2849644809540
struct[0].Gy[89,101] = -24.9575997948692
struct[0].Gy[89,102] = 10.2713736253513
struct[0].Gy[89,103] = -39.6392229058202
struct[0].Gy[90,80] = -39.6392229058202
struct[0].Gy[90,81] = -10.2713736253513
struct[0].Gy[90,82] = 105.571769313180
struct[0].Gy[90,83] = 54.0657727682604
struct[0].Gy[90,84] = -39.6392229058201
struct[0].Gy[90,85] = -10.2713736253513
struct[0].Gy[90,86] = -24.9575997948692
struct[0].Gy[90,87] = -23.2849644809540
struct[0].Gy[90,88] = 79.2784458116403
struct[0].Gy[90,89] = 20.5427472507027
struct[0].Gy[90,90] = -211.143538626360
struct[0].Gy[90,91] = -108.131545536521
struct[0].Gy[90,92] = 79.2784458116403
struct[0].Gy[90,93] = 20.5427472507027
struct[0].Gy[90,94] = 49.9151995897384
struct[0].Gy[90,95] = 46.5699289619080
struct[0].Gy[90,96] = -39.6392229058202
struct[0].Gy[90,97] = -10.2713736253513
struct[0].Gy[90,98] = 105.571769313180
struct[0].Gy[90,99] = 54.0657727682604
struct[0].Gy[90,100] = -39.6392229058201
struct[0].Gy[90,101] = -10.2713736253513
struct[0].Gy[90,102] = -24.9575997948692
struct[0].Gy[90,103] = -23.2849644809540
struct[0].Gy[91,80] = 10.2713736253513
struct[0].Gy[91,81] = -39.6392229058202
struct[0].Gy[91,82] = -54.0657727682604
struct[0].Gy[91,83] = 105.571769313180
struct[0].Gy[91,84] = 10.2713736253513
struct[0].Gy[91,85] = -39.6392229058201
struct[0].Gy[91,86] = 23.2849644809540
struct[0].Gy[91,87] = -24.9575997948692
struct[0].Gy[91,88] = -20.5427472507027
struct[0].Gy[91,89] = 79.2784458116403
struct[0].Gy[91,90] = 108.131545536521
struct[0].Gy[91,91] = -211.143538626360
struct[0].Gy[91,92] = -20.5427472507027
struct[0].Gy[91,93] = 79.2784458116403
struct[0].Gy[91,94] = -46.5699289619080
struct[0].Gy[91,95] = 49.9151995897384
struct[0].Gy[91,96] = 10.2713736253513
struct[0].Gy[91,97] = -39.6392229058202
struct[0].Gy[91,98] = -54.0657727682604
struct[0].Gy[91,99] = 105.571769313180
struct[0].Gy[91,100] = 10.2713736253513
struct[0].Gy[91,101] = -39.6392229058201
struct[0].Gy[91,102] = 23.2849644809540
struct[0].Gy[91,103] = -24.9575997948692
struct[0].Gy[92,80] = -24.9575997948692
struct[0].Gy[92,81] = -23.2849644809540
struct[0].Gy[92,82] = -39.6392229058202
struct[0].Gy[92,83] = -10.2713736253513
struct[0].Gy[92,84] = 105.571769313180
struct[0].Gy[92,85] = 54.0657727682604
struct[0].Gy[92,86] = -39.6392229058201
struct[0].Gy[92,87] = -10.2713736253514
struct[0].Gy[92,88] = 49.9151995897384
struct[0].Gy[92,89] = 46.5699289619080
struct[0].Gy[92,90] = 79.2784458116404
struct[0].Gy[92,91] = 20.5427472507027
struct[0].Gy[92,92] = -211.143538626360
struct[0].Gy[92,93] = -108.131545536521
struct[0].Gy[92,94] = 79.2784458116403
struct[0].Gy[92,95] = 20.5427472507027
struct[0].Gy[92,96] = -24.9575997948692
struct[0].Gy[92,97] = -23.2849644809540
struct[0].Gy[92,98] = -39.6392229058202
struct[0].Gy[92,99] = -10.2713736253513
struct[0].Gy[92,100] = 105.571769313180
struct[0].Gy[92,101] = 54.0657727682604
struct[0].Gy[92,102] = -39.6392229058201
struct[0].Gy[92,103] = -10.2713736253514
struct[0].Gy[93,80] = 23.2849644809540
struct[0].Gy[93,81] = -24.9575997948692
struct[0].Gy[93,82] = 10.2713736253513
struct[0].Gy[93,83] = -39.6392229058202
struct[0].Gy[93,84] = -54.0657727682604
struct[0].Gy[93,85] = 105.571769313180
struct[0].Gy[93,86] = 10.2713736253514
struct[0].Gy[93,87] = -39.6392229058201
struct[0].Gy[93,88] = -46.5699289619080
struct[0].Gy[93,89] = 49.9151995897384
struct[0].Gy[93,90] = -20.5427472507027
struct[0].Gy[93,91] = 79.2784458116404
struct[0].Gy[93,92] = 108.131545536521
struct[0].Gy[93,93] = -211.143538626360
struct[0].Gy[93,94] = -20.5427472507027
struct[0].Gy[93,95] = 79.2784458116403
struct[0].Gy[93,96] = 23.2849644809540
struct[0].Gy[93,97] = -24.9575997948692
struct[0].Gy[93,98] = 10.2713736253513
struct[0].Gy[93,99] = -39.6392229058202
struct[0].Gy[93,100] = -54.0657727682604
struct[0].Gy[93,101] = 105.571769313180
struct[0].Gy[93,102] = 10.2713736253514
struct[0].Gy[93,103] = -39.6392229058201
struct[0].Gy[94,80] = -39.6392229058202
struct[0].Gy[94,81] = -10.2713736253513
struct[0].Gy[94,82] = -24.9575997948692
struct[0].Gy[94,83] = -23.2849644809540
struct[0].Gy[94,84] = -39.6392229058202
struct[0].Gy[94,85] = -10.2713736253513
struct[0].Gy[94,86] = 105.571769313180
struct[0].Gy[94,87] = 54.0657727682604
struct[0].Gy[94,88] = 79.2784458116403
struct[0].Gy[94,89] = 20.5427472507027
struct[0].Gy[94,90] = 49.9151995897384
struct[0].Gy[94,91] = 46.5699289619080
struct[0].Gy[94,92] = 79.2784458116403
struct[0].Gy[94,93] = 20.5427472507027
struct[0].Gy[94,94] = -211.143538626360
struct[0].Gy[94,95] = -108.131545536521
struct[0].Gy[94,96] = -39.6392229058202
struct[0].Gy[94,97] = -10.2713736253513
struct[0].Gy[94,98] = -24.9575997948692
struct[0].Gy[94,99] = -23.2849644809540
struct[0].Gy[94,100] = -39.6392229058202
struct[0].Gy[94,101] = -10.2713736253513
struct[0].Gy[94,102] = 105.571769313180
struct[0].Gy[94,103] = 54.0657727682604
struct[0].Gy[95,80] = 10.2713736253513
struct[0].Gy[95,81] = -39.6392229058202
struct[0].Gy[95,82] = 23.2849644809540
struct[0].Gy[95,83] = -24.9575997948692
struct[0].Gy[95,84] = 10.2713736253513
struct[0].Gy[95,85] = -39.6392229058202
struct[0].Gy[95,86] = -54.0657727682604
struct[0].Gy[95,87] = 105.571769313180
struct[0].Gy[95,88] = -20.5427472507027
struct[0].Gy[95,89] = 79.2784458116403
struct[0].Gy[95,90] = -46.5699289619080
struct[0].Gy[95,91] = 49.9151995897384
struct[0].Gy[95,92] = -20.5427472507027
struct[0].Gy[95,93] = 79.2784458116403
struct[0].Gy[95,94] = 108.131545536521
struct[0].Gy[95,95] = -211.143538626360
struct[0].Gy[95,96] = 10.2713736253513
struct[0].Gy[95,97] = -39.6392229058202
struct[0].Gy[95,98] = 23.2849644809540
struct[0].Gy[95,99] = -24.9575997948692
struct[0].Gy[95,100] = 10.2713736253513
struct[0].Gy[95,101] = -39.6392229058202
struct[0].Gy[95,102] = -54.0657727682604
struct[0].Gy[95,103] = 105.571769313180
struct[0].Gy[96,88] = 105.571769313180
struct[0].Gy[96,89] = 54.0657727682604
struct[0].Gy[96,90] = -39.6392229058202
struct[0].Gy[96,91] = -10.2713736253513
struct[0].Gy[96,92] = -24.9575997948692
struct[0].Gy[96,93] = -23.2849644809540
struct[0].Gy[96,94] = -39.6392229058202
struct[0].Gy[96,95] = -10.2713736253513
struct[0].Gy[96,96] = -211.143538626360
struct[0].Gy[96,97] = -108.131545536521
struct[0].Gy[96,98] = 79.2784458116403
struct[0].Gy[96,99] = 20.5427472507027
struct[0].Gy[96,100] = 49.9151995897384
struct[0].Gy[96,101] = 46.5699289619080
struct[0].Gy[96,102] = 79.2784458116403
struct[0].Gy[96,103] = 20.5427472507027
struct[0].Gy[96,104] = 105.571769313180
struct[0].Gy[96,105] = 54.0657727682604
struct[0].Gy[96,106] = -39.6392229058202
struct[0].Gy[96,107] = -10.2713736253513
struct[0].Gy[96,108] = -24.9575997948692
struct[0].Gy[96,109] = -23.2849644809540
struct[0].Gy[96,110] = -39.6392229058202
struct[0].Gy[96,111] = -10.2713736253513
struct[0].Gy[97,88] = -54.0657727682604
struct[0].Gy[97,89] = 105.571769313180
struct[0].Gy[97,90] = 10.2713736253513
struct[0].Gy[97,91] = -39.6392229058202
struct[0].Gy[97,92] = 23.2849644809540
struct[0].Gy[97,93] = -24.9575997948692
struct[0].Gy[97,94] = 10.2713736253513
struct[0].Gy[97,95] = -39.6392229058202
struct[0].Gy[97,96] = 108.131545536521
struct[0].Gy[97,97] = -211.143538626360
struct[0].Gy[97,98] = -20.5427472507027
struct[0].Gy[97,99] = 79.2784458116403
struct[0].Gy[97,100] = -46.5699289619080
struct[0].Gy[97,101] = 49.9151995897384
struct[0].Gy[97,102] = -20.5427472507027
struct[0].Gy[97,103] = 79.2784458116403
struct[0].Gy[97,104] = -54.0657727682604
struct[0].Gy[97,105] = 105.571769313180
struct[0].Gy[97,106] = 10.2713736253513
struct[0].Gy[97,107] = -39.6392229058202
struct[0].Gy[97,108] = 23.2849644809540
struct[0].Gy[97,109] = -24.9575997948692
struct[0].Gy[97,110] = 10.2713736253513
struct[0].Gy[97,111] = -39.6392229058202
struct[0].Gy[98,88] = -39.6392229058202
struct[0].Gy[98,89] = -10.2713736253513
struct[0].Gy[98,90] = 105.571769313180
struct[0].Gy[98,91] = 54.0657727682604
struct[0].Gy[98,92] = -39.6392229058201
struct[0].Gy[98,93] = -10.2713736253513
struct[0].Gy[98,94] = -24.9575997948692
struct[0].Gy[98,95] = -23.2849644809540
struct[0].Gy[98,96] = 79.2784458116403
struct[0].Gy[98,97] = 20.5427472507027
struct[0].Gy[98,98] = -211.143538626360
struct[0].Gy[98,99] = -108.131545536521
struct[0].Gy[98,100] = 79.2784458116403
struct[0].Gy[98,101] = 20.5427472507027
struct[0].Gy[98,102] = 49.9151995897384
struct[0].Gy[98,103] = 46.5699289619080
struct[0].Gy[98,104] = -39.6392229058202
struct[0].Gy[98,105] = -10.2713736253513
struct[0].Gy[98,106] = 105.571769313180
struct[0].Gy[98,107] = 54.0657727682604
struct[0].Gy[98,108] = -39.6392229058201
struct[0].Gy[98,109] = -10.2713736253513
struct[0].Gy[98,110] = -24.9575997948692
struct[0].Gy[98,111] = -23.2849644809540
struct[0].Gy[99,88] = 10.2713736253513
struct[0].Gy[99,89] = -39.6392229058202
struct[0].Gy[99,90] = -54.0657727682604
struct[0].Gy[99,91] = 105.571769313180
struct[0].Gy[99,92] = 10.2713736253513
struct[0].Gy[99,93] = -39.6392229058201
struct[0].Gy[99,94] = 23.2849644809540
struct[0].Gy[99,95] = -24.9575997948692
struct[0].Gy[99,96] = -20.5427472507027
struct[0].Gy[99,97] = 79.2784458116403
struct[0].Gy[99,98] = 108.131545536521
struct[0].Gy[99,99] = -211.143538626360
struct[0].Gy[99,100] = -20.5427472507027
struct[0].Gy[99,101] = 79.2784458116403
struct[0].Gy[99,102] = -46.5699289619080
struct[0].Gy[99,103] = 49.9151995897384
struct[0].Gy[99,104] = 10.2713736253513
struct[0].Gy[99,105] = -39.6392229058202
struct[0].Gy[99,106] = -54.0657727682604
struct[0].Gy[99,107] = 105.571769313180
struct[0].Gy[99,108] = 10.2713736253513
struct[0].Gy[99,109] = -39.6392229058201
struct[0].Gy[99,110] = 23.2849644809540
struct[0].Gy[99,111] = -24.9575997948692
struct[0].Gy[100,88] = -24.9575997948692
struct[0].Gy[100,89] = -23.2849644809540
struct[0].Gy[100,90] = -39.6392229058202
struct[0].Gy[100,91] = -10.2713736253513
struct[0].Gy[100,92] = 105.571769313180
struct[0].Gy[100,93] = 54.0657727682604
struct[0].Gy[100,94] = -39.6392229058201
struct[0].Gy[100,95] = -10.2713736253514
struct[0].Gy[100,96] = 49.9151995897384
struct[0].Gy[100,97] = 46.5699289619080
struct[0].Gy[100,98] = 79.2784458116404
struct[0].Gy[100,99] = 20.5427472507027
struct[0].Gy[100,100] = -211.143538626360
struct[0].Gy[100,101] = -108.131545536521
struct[0].Gy[100,102] = 79.2784458116403
struct[0].Gy[100,103] = 20.5427472507027
struct[0].Gy[100,104] = -24.9575997948692
struct[0].Gy[100,105] = -23.2849644809540
struct[0].Gy[100,106] = -39.6392229058202
struct[0].Gy[100,107] = -10.2713736253513
struct[0].Gy[100,108] = 105.571769313180
struct[0].Gy[100,109] = 54.0657727682604
struct[0].Gy[100,110] = -39.6392229058201
struct[0].Gy[100,111] = -10.2713736253514
struct[0].Gy[101,88] = 23.2849644809540
struct[0].Gy[101,89] = -24.9575997948692
struct[0].Gy[101,90] = 10.2713736253513
struct[0].Gy[101,91] = -39.6392229058202
struct[0].Gy[101,92] = -54.0657727682604
struct[0].Gy[101,93] = 105.571769313180
struct[0].Gy[101,94] = 10.2713736253514
struct[0].Gy[101,95] = -39.6392229058201
struct[0].Gy[101,96] = -46.5699289619080
struct[0].Gy[101,97] = 49.9151995897384
struct[0].Gy[101,98] = -20.5427472507027
struct[0].Gy[101,99] = 79.2784458116404
struct[0].Gy[101,100] = 108.131545536521
struct[0].Gy[101,101] = -211.143538626360
struct[0].Gy[101,102] = -20.5427472507027
struct[0].Gy[101,103] = 79.2784458116403
struct[0].Gy[101,104] = 23.2849644809540
struct[0].Gy[101,105] = -24.9575997948692
struct[0].Gy[101,106] = 10.2713736253513
struct[0].Gy[101,107] = -39.6392229058202
struct[0].Gy[101,108] = -54.0657727682604
struct[0].Gy[101,109] = 105.571769313180
struct[0].Gy[101,110] = 10.2713736253514
struct[0].Gy[101,111] = -39.6392229058201
struct[0].Gy[102,88] = -39.6392229058202
struct[0].Gy[102,89] = -10.2713736253513
struct[0].Gy[102,90] = -24.9575997948692
struct[0].Gy[102,91] = -23.2849644809540
struct[0].Gy[102,92] = -39.6392229058202
struct[0].Gy[102,93] = -10.2713736253513
struct[0].Gy[102,94] = 105.571769313180
struct[0].Gy[102,95] = 54.0657727682604
struct[0].Gy[102,96] = 79.2784458116403
struct[0].Gy[102,97] = 20.5427472507027
struct[0].Gy[102,98] = 49.9151995897384
struct[0].Gy[102,99] = 46.5699289619080
struct[0].Gy[102,100] = 79.2784458116403
struct[0].Gy[102,101] = 20.5427472507027
struct[0].Gy[102,102] = -211.168538626360
struct[0].Gy[102,103] = -108.131545536521
struct[0].Gy[102,104] = -39.6392229058202
struct[0].Gy[102,105] = -10.2713736253513
struct[0].Gy[102,106] = -24.9575997948692
struct[0].Gy[102,107] = -23.2849644809540
struct[0].Gy[102,108] = -39.6392229058202
struct[0].Gy[102,109] = -10.2713736253513
struct[0].Gy[102,110] = 105.571769313180
struct[0].Gy[102,111] = 54.0657727682604
struct[0].Gy[103,88] = 10.2713736253513
struct[0].Gy[103,89] = -39.6392229058202
struct[0].Gy[103,90] = 23.2849644809540
struct[0].Gy[103,91] = -24.9575997948692
struct[0].Gy[103,92] = 10.2713736253513
struct[0].Gy[103,93] = -39.6392229058202
struct[0].Gy[103,94] = -54.0657727682604
struct[0].Gy[103,95] = 105.571769313180
struct[0].Gy[103,96] = -20.5427472507027
struct[0].Gy[103,97] = 79.2784458116403
struct[0].Gy[103,98] = -46.5699289619080
struct[0].Gy[103,99] = 49.9151995897384
struct[0].Gy[103,100] = -20.5427472507027
struct[0].Gy[103,101] = 79.2784458116403
struct[0].Gy[103,102] = 108.131545536521
struct[0].Gy[103,103] = -211.168538626360
struct[0].Gy[103,104] = 10.2713736253513
struct[0].Gy[103,105] = -39.6392229058202
struct[0].Gy[103,106] = 23.2849644809540
struct[0].Gy[103,107] = -24.9575997948692
struct[0].Gy[103,108] = 10.2713736253513
struct[0].Gy[103,109] = -39.6392229058202
struct[0].Gy[103,110] = -54.0657727682604
struct[0].Gy[103,111] = 105.571769313180
struct[0].Gy[104,32] = 30.9517475172273
struct[0].Gy[104,33] = 5.65456401516768
struct[0].Gy[104,34] = -9.21038227100566
struct[0].Gy[104,35] = 1.84896616921897
struct[0].Gy[104,36] = -9.00835072044485
struct[0].Gy[104,37] = 0.793238195499529
struct[0].Gy[104,38] = -9.21038227100566
struct[0].Gy[104,39] = 1.84896616921897
struct[0].Gy[104,96] = 105.571769313180
struct[0].Gy[104,97] = 54.0657727682604
struct[0].Gy[104,98] = -39.6392229058202
struct[0].Gy[104,99] = -10.2713736253513
struct[0].Gy[104,100] = -24.9575997948692
struct[0].Gy[104,101] = -23.2849644809540
struct[0].Gy[104,102] = -39.6392229058202
struct[0].Gy[104,103] = -10.2713736253513
struct[0].Gy[104,104] = -242.095286143588
struct[0].Gy[104,105] = -113.786109551688
struct[0].Gy[104,106] = 88.4888280826460
struct[0].Gy[104,107] = 18.6937810814837
struct[0].Gy[104,108] = 58.9235503101833
struct[0].Gy[104,109] = 45.7766907664085
struct[0].Gy[104,110] = 88.4888280826460
struct[0].Gy[104,111] = 18.6937810814837
struct[0].Gy[104,112] = 105.571769313180
struct[0].Gy[104,113] = 54.0657727682604
struct[0].Gy[104,114] = -39.6392229058202
struct[0].Gy[104,115] = -10.2713736253513
struct[0].Gy[104,116] = -24.9575997948692
struct[0].Gy[104,117] = -23.2849644809540
struct[0].Gy[104,118] = -39.6392229058202
struct[0].Gy[104,119] = -10.2713736253513
struct[0].Gy[105,32] = -5.65456401516768
struct[0].Gy[105,33] = 30.9517475172273
struct[0].Gy[105,34] = -1.84896616921897
struct[0].Gy[105,35] = -9.21038227100566
struct[0].Gy[105,36] = -0.793238195499529
struct[0].Gy[105,37] = -9.00835072044485
struct[0].Gy[105,38] = -1.84896616921897
struct[0].Gy[105,39] = -9.21038227100566
struct[0].Gy[105,96] = -54.0657727682604
struct[0].Gy[105,97] = 105.571769313180
struct[0].Gy[105,98] = 10.2713736253513
struct[0].Gy[105,99] = -39.6392229058202
struct[0].Gy[105,100] = 23.2849644809540
struct[0].Gy[105,101] = -24.9575997948692
struct[0].Gy[105,102] = 10.2713736253513
struct[0].Gy[105,103] = -39.6392229058202
struct[0].Gy[105,104] = 113.786109551688
struct[0].Gy[105,105] = -242.095286143588
struct[0].Gy[105,106] = -18.6937810814837
struct[0].Gy[105,107] = 88.4888280826460
struct[0].Gy[105,108] = -45.7766907664085
struct[0].Gy[105,109] = 58.9235503101833
struct[0].Gy[105,110] = -18.6937810814837
struct[0].Gy[105,111] = 88.4888280826460
struct[0].Gy[105,112] = -54.0657727682604
struct[0].Gy[105,113] = 105.571769313180
struct[0].Gy[105,114] = 10.2713736253513
struct[0].Gy[105,115] = -39.6392229058202
struct[0].Gy[105,116] = 23.2849644809540
struct[0].Gy[105,117] = -24.9575997948692
struct[0].Gy[105,118] = 10.2713736253513
struct[0].Gy[105,119] = -39.6392229058202
struct[0].Gy[106,32] = -9.21038227100566
struct[0].Gy[106,33] = 1.84896616921897
struct[0].Gy[106,34] = 30.9517475172273
struct[0].Gy[106,35] = 5.65456401516768
struct[0].Gy[106,36] = -9.21038227100566
struct[0].Gy[106,37] = 1.84896616921897
struct[0].Gy[106,38] = -9.00835072044485
struct[0].Gy[106,39] = 0.793238195499528
struct[0].Gy[106,96] = -39.6392229058202
struct[0].Gy[106,97] = -10.2713736253513
struct[0].Gy[106,98] = 105.571769313180
struct[0].Gy[106,99] = 54.0657727682604
struct[0].Gy[106,100] = -39.6392229058201
struct[0].Gy[106,101] = -10.2713736253513
struct[0].Gy[106,102] = -24.9575997948692
struct[0].Gy[106,103] = -23.2849644809540
struct[0].Gy[106,104] = 88.4888280826460
struct[0].Gy[106,105] = 18.6937810814837
struct[0].Gy[106,106] = -242.095286143588
struct[0].Gy[106,107] = -113.786109551688
struct[0].Gy[106,108] = 88.4888280826460
struct[0].Gy[106,109] = 18.6937810814837
struct[0].Gy[106,110] = 58.9235503101833
struct[0].Gy[106,111] = 45.7766907664085
struct[0].Gy[106,112] = -39.6392229058202
struct[0].Gy[106,113] = -10.2713736253513
struct[0].Gy[106,114] = 105.571769313180
struct[0].Gy[106,115] = 54.0657727682604
struct[0].Gy[106,116] = -39.6392229058201
struct[0].Gy[106,117] = -10.2713736253513
struct[0].Gy[106,118] = -24.9575997948692
struct[0].Gy[106,119] = -23.2849644809540
struct[0].Gy[107,32] = -1.84896616921897
struct[0].Gy[107,33] = -9.21038227100566
struct[0].Gy[107,34] = -5.65456401516768
struct[0].Gy[107,35] = 30.9517475172273
struct[0].Gy[107,36] = -1.84896616921897
struct[0].Gy[107,37] = -9.21038227100566
struct[0].Gy[107,38] = -0.793238195499528
struct[0].Gy[107,39] = -9.00835072044485
struct[0].Gy[107,96] = 10.2713736253513
struct[0].Gy[107,97] = -39.6392229058202
struct[0].Gy[107,98] = -54.0657727682604
struct[0].Gy[107,99] = 105.571769313180
struct[0].Gy[107,100] = 10.2713736253513
struct[0].Gy[107,101] = -39.6392229058201
struct[0].Gy[107,102] = 23.2849644809540
struct[0].Gy[107,103] = -24.9575997948692
struct[0].Gy[107,104] = -18.6937810814837
struct[0].Gy[107,105] = 88.4888280826460
struct[0].Gy[107,106] = 113.786109551688
struct[0].Gy[107,107] = -242.095286143588
struct[0].Gy[107,108] = -18.6937810814837
struct[0].Gy[107,109] = 88.4888280826460
struct[0].Gy[107,110] = -45.7766907664085
struct[0].Gy[107,111] = 58.9235503101833
struct[0].Gy[107,112] = 10.2713736253513
struct[0].Gy[107,113] = -39.6392229058202
struct[0].Gy[107,114] = -54.0657727682604
struct[0].Gy[107,115] = 105.571769313180
struct[0].Gy[107,116] = 10.2713736253513
struct[0].Gy[107,117] = -39.6392229058201
struct[0].Gy[107,118] = 23.2849644809540
struct[0].Gy[107,119] = -24.9575997948692
struct[0].Gy[108,32] = -9.00835072044484
struct[0].Gy[108,33] = 0.793238195499527
struct[0].Gy[108,34] = -9.21038227100566
struct[0].Gy[108,35] = 1.84896616921897
struct[0].Gy[108,36] = 30.9517475172273
struct[0].Gy[108,37] = 5.65456401516768
struct[0].Gy[108,38] = -9.21038227100566
struct[0].Gy[108,39] = 1.84896616921897
struct[0].Gy[108,96] = -24.9575997948692
struct[0].Gy[108,97] = -23.2849644809540
struct[0].Gy[108,98] = -39.6392229058202
struct[0].Gy[108,99] = -10.2713736253513
struct[0].Gy[108,100] = 105.571769313180
struct[0].Gy[108,101] = 54.0657727682604
struct[0].Gy[108,102] = -39.6392229058201
struct[0].Gy[108,103] = -10.2713736253514
struct[0].Gy[108,104] = 58.9235503101833
struct[0].Gy[108,105] = 45.7766907664085
struct[0].Gy[108,106] = 88.4888280826461
struct[0].Gy[108,107] = 18.6937810814837
struct[0].Gy[108,108] = -242.095286143588
struct[0].Gy[108,109] = -113.786109551688
struct[0].Gy[108,110] = 88.4888280826459
struct[0].Gy[108,111] = 18.6937810814837
struct[0].Gy[108,112] = -24.9575997948692
struct[0].Gy[108,113] = -23.2849644809540
struct[0].Gy[108,114] = -39.6392229058202
struct[0].Gy[108,115] = -10.2713736253513
struct[0].Gy[108,116] = 105.571769313180
struct[0].Gy[108,117] = 54.0657727682604
struct[0].Gy[108,118] = -39.6392229058201
struct[0].Gy[108,119] = -10.2713736253514
struct[0].Gy[109,32] = -0.793238195499527
struct[0].Gy[109,33] = -9.00835072044484
struct[0].Gy[109,34] = -1.84896616921897
struct[0].Gy[109,35] = -9.21038227100566
struct[0].Gy[109,36] = -5.65456401516768
struct[0].Gy[109,37] = 30.9517475172273
struct[0].Gy[109,38] = -1.84896616921897
struct[0].Gy[109,39] = -9.21038227100566
struct[0].Gy[109,96] = 23.2849644809540
struct[0].Gy[109,97] = -24.9575997948692
struct[0].Gy[109,98] = 10.2713736253513
struct[0].Gy[109,99] = -39.6392229058202
struct[0].Gy[109,100] = -54.0657727682604
struct[0].Gy[109,101] = 105.571769313180
struct[0].Gy[109,102] = 10.2713736253514
struct[0].Gy[109,103] = -39.6392229058201
struct[0].Gy[109,104] = -45.7766907664085
struct[0].Gy[109,105] = 58.9235503101833
struct[0].Gy[109,106] = -18.6937810814837
struct[0].Gy[109,107] = 88.4888280826461
struct[0].Gy[109,108] = 113.786109551688
struct[0].Gy[109,109] = -242.095286143588
struct[0].Gy[109,110] = -18.6937810814837
struct[0].Gy[109,111] = 88.4888280826459
struct[0].Gy[109,112] = 23.2849644809540
struct[0].Gy[109,113] = -24.9575997948692
struct[0].Gy[109,114] = 10.2713736253513
struct[0].Gy[109,115] = -39.6392229058202
struct[0].Gy[109,116] = -54.0657727682604
struct[0].Gy[109,117] = 105.571769313180
struct[0].Gy[109,118] = 10.2713736253514
struct[0].Gy[109,119] = -39.6392229058201
struct[0].Gy[110,32] = -9.21038227100566
struct[0].Gy[110,33] = 1.84896616921897
struct[0].Gy[110,34] = -9.00835072044485
struct[0].Gy[110,35] = 0.793238195499527
struct[0].Gy[110,36] = -9.21038227100566
struct[0].Gy[110,37] = 1.84896616921897
struct[0].Gy[110,38] = 30.9517475172273
struct[0].Gy[110,39] = 5.65456401516768
struct[0].Gy[110,96] = -39.6392229058202
struct[0].Gy[110,97] = -10.2713736253513
struct[0].Gy[110,98] = -24.9575997948692
struct[0].Gy[110,99] = -23.2849644809540
struct[0].Gy[110,100] = -39.6392229058202
struct[0].Gy[110,101] = -10.2713736253513
struct[0].Gy[110,102] = 105.571769313180
struct[0].Gy[110,103] = 54.0657727682604
struct[0].Gy[110,104] = 88.4888280826460
struct[0].Gy[110,105] = 18.6937810814837
struct[0].Gy[110,106] = 58.9235503101832
struct[0].Gy[110,107] = 45.7766907664085
struct[0].Gy[110,108] = 88.4888280826460
struct[0].Gy[110,109] = 18.6937810814837
struct[0].Gy[110,110] = -242.095286143588
struct[0].Gy[110,111] = -113.786109551688
struct[0].Gy[110,112] = -39.6392229058202
struct[0].Gy[110,113] = -10.2713736253513
struct[0].Gy[110,114] = -24.9575997948692
struct[0].Gy[110,115] = -23.2849644809540
struct[0].Gy[110,116] = -39.6392229058202
struct[0].Gy[110,117] = -10.2713736253513
struct[0].Gy[110,118] = 105.571769313180
struct[0].Gy[110,119] = 54.0657727682604
struct[0].Gy[111,32] = -1.84896616921897
struct[0].Gy[111,33] = -9.21038227100566
struct[0].Gy[111,34] = -0.793238195499527
struct[0].Gy[111,35] = -9.00835072044485
struct[0].Gy[111,36] = -1.84896616921897
struct[0].Gy[111,37] = -9.21038227100566
struct[0].Gy[111,38] = -5.65456401516768
struct[0].Gy[111,39] = 30.9517475172273
struct[0].Gy[111,96] = 10.2713736253513
struct[0].Gy[111,97] = -39.6392229058202
struct[0].Gy[111,98] = 23.2849644809540
struct[0].Gy[111,99] = -24.9575997948692
struct[0].Gy[111,100] = 10.2713736253513
struct[0].Gy[111,101] = -39.6392229058202
struct[0].Gy[111,102] = -54.0657727682604
struct[0].Gy[111,103] = 105.571769313180
struct[0].Gy[111,104] = -18.6937810814837
struct[0].Gy[111,105] = 88.4888280826460
struct[0].Gy[111,106] = -45.7766907664085
struct[0].Gy[111,107] = 58.9235503101832
struct[0].Gy[111,108] = -18.6937810814837
struct[0].Gy[111,109] = 88.4888280826460
struct[0].Gy[111,110] = 113.786109551688
struct[0].Gy[111,111] = -242.095286143588
struct[0].Gy[111,112] = 10.2713736253513
struct[0].Gy[111,113] = -39.6392229058202
struct[0].Gy[111,114] = 23.2849644809540
struct[0].Gy[111,115] = -24.9575997948692
struct[0].Gy[111,116] = 10.2713736253513
struct[0].Gy[111,117] = -39.6392229058202
struct[0].Gy[111,118] = -54.0657727682604
struct[0].Gy[111,119] = 105.571769313180
struct[0].Gy[112,40] = 30.9517475172273
struct[0].Gy[112,41] = 5.65456401516768
struct[0].Gy[112,42] = -9.21038227100566
struct[0].Gy[112,43] = 1.84896616921897
struct[0].Gy[112,44] = -9.00835072044485
struct[0].Gy[112,45] = 0.793238195499529
struct[0].Gy[112,46] = -9.21038227100566
struct[0].Gy[112,47] = 1.84896616921897
struct[0].Gy[112,104] = 105.571769313180
struct[0].Gy[112,105] = 54.0657727682604
struct[0].Gy[112,106] = -39.6392229058202
struct[0].Gy[112,107] = -10.2713736253513
struct[0].Gy[112,108] = -24.9575997948692
struct[0].Gy[112,109] = -23.2849644809540
struct[0].Gy[112,110] = -39.6392229058202
struct[0].Gy[112,111] = -10.2713736253513
struct[0].Gy[112,112] = -136.523516830407
struct[0].Gy[112,113] = -59.7203367834281
struct[0].Gy[112,114] = 48.8496051768258
struct[0].Gy[112,115] = 8.42240745613237
struct[0].Gy[112,116] = 33.9659505153141
struct[0].Gy[112,117] = 22.4917262854545
struct[0].Gy[112,118] = 48.8496051768258
struct[0].Gy[112,119] = 8.42240745613237
struct[0].Gy[113,40] = -5.65456401516768
struct[0].Gy[113,41] = 30.9517475172273
struct[0].Gy[113,42] = -1.84896616921897
struct[0].Gy[113,43] = -9.21038227100566
struct[0].Gy[113,44] = -0.793238195499529
struct[0].Gy[113,45] = -9.00835072044485
struct[0].Gy[113,46] = -1.84896616921897
struct[0].Gy[113,47] = -9.21038227100566
struct[0].Gy[113,104] = -54.0657727682604
struct[0].Gy[113,105] = 105.571769313180
struct[0].Gy[113,106] = 10.2713736253513
struct[0].Gy[113,107] = -39.6392229058202
struct[0].Gy[113,108] = 23.2849644809540
struct[0].Gy[113,109] = -24.9575997948692
struct[0].Gy[113,110] = 10.2713736253513
struct[0].Gy[113,111] = -39.6392229058202
struct[0].Gy[113,112] = 59.7203367834281
struct[0].Gy[113,113] = -136.523516830407
struct[0].Gy[113,114] = -8.42240745613237
struct[0].Gy[113,115] = 48.8496051768258
struct[0].Gy[113,116] = -22.4917262854545
struct[0].Gy[113,117] = 33.9659505153141
struct[0].Gy[113,118] = -8.42240745613237
struct[0].Gy[113,119] = 48.8496051768258
struct[0].Gy[114,40] = -9.21038227100566
struct[0].Gy[114,41] = 1.84896616921897
struct[0].Gy[114,42] = 30.9517475172273
struct[0].Gy[114,43] = 5.65456401516768
struct[0].Gy[114,44] = -9.21038227100566
struct[0].Gy[114,45] = 1.84896616921897
struct[0].Gy[114,46] = -9.00835072044485
struct[0].Gy[114,47] = 0.793238195499528
struct[0].Gy[114,104] = -39.6392229058202
struct[0].Gy[114,105] = -10.2713736253513
struct[0].Gy[114,106] = 105.571769313180
struct[0].Gy[114,107] = 54.0657727682604
struct[0].Gy[114,108] = -39.6392229058201
struct[0].Gy[114,109] = -10.2713736253513
struct[0].Gy[114,110] = -24.9575997948692
struct[0].Gy[114,111] = -23.2849644809540
struct[0].Gy[114,112] = 48.8496051768258
struct[0].Gy[114,113] = 8.42240745613237
struct[0].Gy[114,114] = -136.523516830407
struct[0].Gy[114,115] = -59.7203367834280
struct[0].Gy[114,116] = 48.8496051768258
struct[0].Gy[114,117] = 8.42240745613238
struct[0].Gy[114,118] = 33.9659505153141
struct[0].Gy[114,119] = 22.4917262854545
struct[0].Gy[115,40] = -1.84896616921897
struct[0].Gy[115,41] = -9.21038227100566
struct[0].Gy[115,42] = -5.65456401516768
struct[0].Gy[115,43] = 30.9517475172273
struct[0].Gy[115,44] = -1.84896616921897
struct[0].Gy[115,45] = -9.21038227100566
struct[0].Gy[115,46] = -0.793238195499528
struct[0].Gy[115,47] = -9.00835072044485
struct[0].Gy[115,104] = 10.2713736253513
struct[0].Gy[115,105] = -39.6392229058202
struct[0].Gy[115,106] = -54.0657727682604
struct[0].Gy[115,107] = 105.571769313180
struct[0].Gy[115,108] = 10.2713736253513
struct[0].Gy[115,109] = -39.6392229058201
struct[0].Gy[115,110] = 23.2849644809540
struct[0].Gy[115,111] = -24.9575997948692
struct[0].Gy[115,112] = -8.42240745613237
struct[0].Gy[115,113] = 48.8496051768258
struct[0].Gy[115,114] = 59.7203367834280
struct[0].Gy[115,115] = -136.523516830407
struct[0].Gy[115,116] = -8.42240745613238
struct[0].Gy[115,117] = 48.8496051768258
struct[0].Gy[115,118] = -22.4917262854545
struct[0].Gy[115,119] = 33.9659505153141
struct[0].Gy[116,40] = -9.00835072044484
struct[0].Gy[116,41] = 0.793238195499527
struct[0].Gy[116,42] = -9.21038227100566
struct[0].Gy[116,43] = 1.84896616921897
struct[0].Gy[116,44] = 30.9517475172273
struct[0].Gy[116,45] = 5.65456401516768
struct[0].Gy[116,46] = -9.21038227100566
struct[0].Gy[116,47] = 1.84896616921897
struct[0].Gy[116,104] = -24.9575997948692
struct[0].Gy[116,105] = -23.2849644809540
struct[0].Gy[116,106] = -39.6392229058202
struct[0].Gy[116,107] = -10.2713736253513
struct[0].Gy[116,108] = 105.571769313180
struct[0].Gy[116,109] = 54.0657727682604
struct[0].Gy[116,110] = -39.6392229058201
struct[0].Gy[116,111] = -10.2713736253514
struct[0].Gy[116,112] = 33.9659505153141
struct[0].Gy[116,113] = 22.4917262854545
struct[0].Gy[116,114] = 48.8496051768259
struct[0].Gy[116,115] = 8.42240745613236
struct[0].Gy[116,116] = -136.523516830407
struct[0].Gy[116,117] = -59.7203367834281
struct[0].Gy[116,118] = 48.8496051768258
struct[0].Gy[116,119] = 8.42240745613239
struct[0].Gy[117,40] = -0.793238195499527
struct[0].Gy[117,41] = -9.00835072044484
struct[0].Gy[117,42] = -1.84896616921897
struct[0].Gy[117,43] = -9.21038227100566
struct[0].Gy[117,44] = -5.65456401516768
struct[0].Gy[117,45] = 30.9517475172273
struct[0].Gy[117,46] = -1.84896616921897
struct[0].Gy[117,47] = -9.21038227100566
struct[0].Gy[117,104] = 23.2849644809540
struct[0].Gy[117,105] = -24.9575997948692
struct[0].Gy[117,106] = 10.2713736253513
struct[0].Gy[117,107] = -39.6392229058202
struct[0].Gy[117,108] = -54.0657727682604
struct[0].Gy[117,109] = 105.571769313180
struct[0].Gy[117,110] = 10.2713736253514
struct[0].Gy[117,111] = -39.6392229058201
struct[0].Gy[117,112] = -22.4917262854545
struct[0].Gy[117,113] = 33.9659505153141
struct[0].Gy[117,114] = -8.42240745613236
struct[0].Gy[117,115] = 48.8496051768259
struct[0].Gy[117,116] = 59.7203367834281
struct[0].Gy[117,117] = -136.523516830407
struct[0].Gy[117,118] = -8.42240745613239
struct[0].Gy[117,119] = 48.8496051768258
struct[0].Gy[118,40] = -9.21038227100566
struct[0].Gy[118,41] = 1.84896616921897
struct[0].Gy[118,42] = -9.00835072044485
struct[0].Gy[118,43] = 0.793238195499527
struct[0].Gy[118,44] = -9.21038227100566
struct[0].Gy[118,45] = 1.84896616921897
struct[0].Gy[118,46] = 30.9517475172273
struct[0].Gy[118,47] = 5.65456401516768
struct[0].Gy[118,104] = -39.6392229058202
struct[0].Gy[118,105] = -10.2713736253513
struct[0].Gy[118,106] = -24.9575997948692
struct[0].Gy[118,107] = -23.2849644809540
struct[0].Gy[118,108] = -39.6392229058202
struct[0].Gy[118,109] = -10.2713736253513
struct[0].Gy[118,110] = 105.571769313180
struct[0].Gy[118,111] = 54.0657727682604
struct[0].Gy[118,112] = 48.8496051768258
struct[0].Gy[118,113] = 8.42240745613237
struct[0].Gy[118,114] = 33.9659505153140
struct[0].Gy[118,115] = 22.4917262854545
struct[0].Gy[118,116] = 48.8496051768258
struct[0].Gy[118,117] = 8.42240745613237
struct[0].Gy[118,118] = -136.548516830407
struct[0].Gy[118,119] = -59.7203367834281
struct[0].Gy[119,40] = -1.84896616921897
struct[0].Gy[119,41] = -9.21038227100566
struct[0].Gy[119,42] = -0.793238195499527
struct[0].Gy[119,43] = -9.00835072044485
struct[0].Gy[119,44] = -1.84896616921897
struct[0].Gy[119,45] = -9.21038227100566
struct[0].Gy[119,46] = -5.65456401516768
struct[0].Gy[119,47] = 30.9517475172273
struct[0].Gy[119,104] = 10.2713736253513
struct[0].Gy[119,105] = -39.6392229058202
struct[0].Gy[119,106] = 23.2849644809540
struct[0].Gy[119,107] = -24.9575997948692
struct[0].Gy[119,108] = 10.2713736253513
struct[0].Gy[119,109] = -39.6392229058202
struct[0].Gy[119,110] = -54.0657727682604
struct[0].Gy[119,111] = 105.571769313180
struct[0].Gy[119,112] = -8.42240745613237
struct[0].Gy[119,113] = 48.8496051768258
struct[0].Gy[119,114] = -22.4917262854545
struct[0].Gy[119,115] = 33.9659505153140
struct[0].Gy[119,116] = -8.42240745613237
struct[0].Gy[119,117] = 48.8496051768258
struct[0].Gy[119,118] = 59.7203367834281
struct[0].Gy[119,119] = -136.548516830407
struct[0].Gy[120,64] = 26.5300693004806
struct[0].Gy[120,65] = 4.84676915585801
struct[0].Gy[120,66] = -7.89461337514770
struct[0].Gy[120,67] = 1.58482814504483
struct[0].Gy[120,68] = -7.72144347466701
struct[0].Gy[120,69] = 0.679918453285310
struct[0].Gy[120,70] = -7.89461337514771
struct[0].Gy[120,71] = 1.58482814504483
struct[0].Gy[120,120] = -53.0601386009611
struct[0].Gy[120,121] = -9.69353831171601
struct[0].Gy[120,122] = 15.7892267502954
struct[0].Gy[120,123] = -3.16965629008966
struct[0].Gy[120,124] = 15.4428869493340
struct[0].Gy[120,125] = -1.35983690657062
struct[0].Gy[120,126] = 15.7892267502954
struct[0].Gy[120,127] = -3.16965629008966
struct[0].Gy[120,128] = 26.5300693004806
struct[0].Gy[120,129] = 4.84676915585801
struct[0].Gy[120,130] = -7.89461337514770
struct[0].Gy[120,131] = 1.58482814504483
struct[0].Gy[120,132] = -7.72144347466701
struct[0].Gy[120,133] = 0.679918453285310
struct[0].Gy[120,134] = -7.89461337514771
struct[0].Gy[120,135] = 1.58482814504483
struct[0].Gy[121,64] = -4.84676915585801
struct[0].Gy[121,65] = 26.5300693004806
struct[0].Gy[121,66] = -1.58482814504483
struct[0].Gy[121,67] = -7.89461337514770
struct[0].Gy[121,68] = -0.679918453285310
struct[0].Gy[121,69] = -7.72144347466701
struct[0].Gy[121,70] = -1.58482814504483
struct[0].Gy[121,71] = -7.89461337514771
struct[0].Gy[121,120] = 9.69353831171601
struct[0].Gy[121,121] = -53.0601386009611
struct[0].Gy[121,122] = 3.16965629008966
struct[0].Gy[121,123] = 15.7892267502954
struct[0].Gy[121,124] = 1.35983690657062
struct[0].Gy[121,125] = 15.4428869493340
struct[0].Gy[121,126] = 3.16965629008966
struct[0].Gy[121,127] = 15.7892267502954
struct[0].Gy[121,128] = -4.84676915585801
struct[0].Gy[121,129] = 26.5300693004806
struct[0].Gy[121,130] = -1.58482814504483
struct[0].Gy[121,131] = -7.89461337514770
struct[0].Gy[121,132] = -0.679918453285310
struct[0].Gy[121,133] = -7.72144347466701
struct[0].Gy[121,134] = -1.58482814504483
struct[0].Gy[121,135] = -7.89461337514771
struct[0].Gy[122,64] = -7.89461337514771
struct[0].Gy[122,65] = 1.58482814504483
struct[0].Gy[122,66] = 26.5300693004806
struct[0].Gy[122,67] = 4.84676915585801
struct[0].Gy[122,68] = -7.89461337514771
struct[0].Gy[122,69] = 1.58482814504483
struct[0].Gy[122,70] = -7.72144347466701
struct[0].Gy[122,71] = 0.679918453285308
struct[0].Gy[122,120] = 15.7892267502954
struct[0].Gy[122,121] = -3.16965629008966
struct[0].Gy[122,122] = -53.0601386009611
struct[0].Gy[122,123] = -9.69353831171602
struct[0].Gy[122,124] = 15.7892267502954
struct[0].Gy[122,125] = -3.16965629008967
struct[0].Gy[122,126] = 15.4428869493340
struct[0].Gy[122,127] = -1.35983690657062
struct[0].Gy[122,128] = -7.89461337514771
struct[0].Gy[122,129] = 1.58482814504483
struct[0].Gy[122,130] = 26.5300693004806
struct[0].Gy[122,131] = 4.84676915585801
struct[0].Gy[122,132] = -7.89461337514771
struct[0].Gy[122,133] = 1.58482814504483
struct[0].Gy[122,134] = -7.72144347466701
struct[0].Gy[122,135] = 0.679918453285308
struct[0].Gy[123,64] = -1.58482814504483
struct[0].Gy[123,65] = -7.89461337514771
struct[0].Gy[123,66] = -4.84676915585801
struct[0].Gy[123,67] = 26.5300693004806
struct[0].Gy[123,68] = -1.58482814504483
struct[0].Gy[123,69] = -7.89461337514771
struct[0].Gy[123,70] = -0.679918453285308
struct[0].Gy[123,71] = -7.72144347466701
struct[0].Gy[123,120] = 3.16965629008966
struct[0].Gy[123,121] = 15.7892267502954
struct[0].Gy[123,122] = 9.69353831171602
struct[0].Gy[123,123] = -53.0601386009611
struct[0].Gy[123,124] = 3.16965629008967
struct[0].Gy[123,125] = 15.7892267502954
struct[0].Gy[123,126] = 1.35983690657062
struct[0].Gy[123,127] = 15.4428869493340
struct[0].Gy[123,128] = -1.58482814504483
struct[0].Gy[123,129] = -7.89461337514771
struct[0].Gy[123,130] = -4.84676915585801
struct[0].Gy[123,131] = 26.5300693004806
struct[0].Gy[123,132] = -1.58482814504483
struct[0].Gy[123,133] = -7.89461337514771
struct[0].Gy[123,134] = -0.679918453285308
struct[0].Gy[123,135] = -7.72144347466701
struct[0].Gy[124,64] = -7.72144347466701
struct[0].Gy[124,65] = 0.679918453285310
struct[0].Gy[124,66] = -7.89461337514770
struct[0].Gy[124,67] = 1.58482814504483
struct[0].Gy[124,68] = 26.5300693004806
struct[0].Gy[124,69] = 4.84676915585801
struct[0].Gy[124,70] = -7.89461337514771
struct[0].Gy[124,71] = 1.58482814504483
struct[0].Gy[124,120] = 15.4428869493340
struct[0].Gy[124,121] = -1.35983690657062
struct[0].Gy[124,122] = 15.7892267502954
struct[0].Gy[124,123] = -3.16965629008966
struct[0].Gy[124,124] = -53.0601386009611
struct[0].Gy[124,125] = -9.69353831171602
struct[0].Gy[124,126] = 15.7892267502954
struct[0].Gy[124,127] = -3.16965629008967
struct[0].Gy[124,128] = -7.72144347466701
struct[0].Gy[124,129] = 0.679918453285310
struct[0].Gy[124,130] = -7.89461337514770
struct[0].Gy[124,131] = 1.58482814504483
struct[0].Gy[124,132] = 26.5300693004806
struct[0].Gy[124,133] = 4.84676915585801
struct[0].Gy[124,134] = -7.89461337514771
struct[0].Gy[124,135] = 1.58482814504483
struct[0].Gy[125,64] = -0.679918453285310
struct[0].Gy[125,65] = -7.72144347466701
struct[0].Gy[125,66] = -1.58482814504483
struct[0].Gy[125,67] = -7.89461337514770
struct[0].Gy[125,68] = -4.84676915585801
struct[0].Gy[125,69] = 26.5300693004806
struct[0].Gy[125,70] = -1.58482814504483
struct[0].Gy[125,71] = -7.89461337514771
struct[0].Gy[125,120] = 1.35983690657062
struct[0].Gy[125,121] = 15.4428869493340
struct[0].Gy[125,122] = 3.16965629008966
struct[0].Gy[125,123] = 15.7892267502954
struct[0].Gy[125,124] = 9.69353831171602
struct[0].Gy[125,125] = -53.0601386009611
struct[0].Gy[125,126] = 3.16965629008967
struct[0].Gy[125,127] = 15.7892267502954
struct[0].Gy[125,128] = -0.679918453285310
struct[0].Gy[125,129] = -7.72144347466701
struct[0].Gy[125,130] = -1.58482814504483
struct[0].Gy[125,131] = -7.89461337514770
struct[0].Gy[125,132] = -4.84676915585801
struct[0].Gy[125,133] = 26.5300693004806
struct[0].Gy[125,134] = -1.58482814504483
struct[0].Gy[125,135] = -7.89461337514771
struct[0].Gy[126,64] = -7.89461337514771
struct[0].Gy[126,65] = 1.58482814504483
struct[0].Gy[126,66] = -7.72144347466701
struct[0].Gy[126,67] = 0.679918453285308
struct[0].Gy[126,68] = -7.89461337514771
struct[0].Gy[126,69] = 1.58482814504483
struct[0].Gy[126,70] = 26.5300693004806
struct[0].Gy[126,71] = 4.84676915585801
struct[0].Gy[126,120] = 15.7892267502954
struct[0].Gy[126,121] = -3.16965629008966
struct[0].Gy[126,122] = 15.4428869493340
struct[0].Gy[126,123] = -1.35983690657062
struct[0].Gy[126,124] = 15.7892267502954
struct[0].Gy[126,125] = -3.16965629008966
struct[0].Gy[126,126] = -53.0601386009611
struct[0].Gy[126,127] = -9.69353831171602
struct[0].Gy[126,128] = -7.89461337514771
struct[0].Gy[126,129] = 1.58482814504483
struct[0].Gy[126,130] = -7.72144347466701
struct[0].Gy[126,131] = 0.679918453285308
struct[0].Gy[126,132] = -7.89461337514771
struct[0].Gy[126,133] = 1.58482814504483
struct[0].Gy[126,134] = 26.5300693004806
struct[0].Gy[126,135] = 4.84676915585801
struct[0].Gy[127,64] = -1.58482814504483
struct[0].Gy[127,65] = -7.89461337514771
struct[0].Gy[127,66] = -0.679918453285308
struct[0].Gy[127,67] = -7.72144347466701
struct[0].Gy[127,68] = -1.58482814504483
struct[0].Gy[127,69] = -7.89461337514771
struct[0].Gy[127,70] = -4.84676915585801
struct[0].Gy[127,71] = 26.5300693004806
struct[0].Gy[127,120] = 3.16965629008966
struct[0].Gy[127,121] = 15.7892267502954
struct[0].Gy[127,122] = 1.35983690657062
struct[0].Gy[127,123] = 15.4428869493340
struct[0].Gy[127,124] = 3.16965629008966
struct[0].Gy[127,125] = 15.7892267502954
struct[0].Gy[127,126] = 9.69353831171602
struct[0].Gy[127,127] = -53.0601386009611
struct[0].Gy[127,128] = -1.58482814504483
struct[0].Gy[127,129] = -7.89461337514771
struct[0].Gy[127,130] = -0.679918453285308
struct[0].Gy[127,131] = -7.72144347466701
struct[0].Gy[127,132] = -1.58482814504483
struct[0].Gy[127,133] = -7.89461337514771
struct[0].Gy[127,134] = -4.84676915585801
struct[0].Gy[127,135] = 26.5300693004806
struct[0].Gy[128,120] = 26.5300693004806
struct[0].Gy[128,121] = 4.84676915585801
struct[0].Gy[128,122] = -7.89461337514770
struct[0].Gy[128,123] = 1.58482814504483
struct[0].Gy[128,124] = -7.72144347466701
struct[0].Gy[128,125] = 0.679918453285310
struct[0].Gy[128,126] = -7.89461337514771
struct[0].Gy[128,127] = 1.58482814504483
struct[0].Gy[128,128] = -53.0601386009611
struct[0].Gy[128,129] = -9.69353831171601
struct[0].Gy[128,130] = 15.7892267502954
struct[0].Gy[128,131] = -3.16965629008966
struct[0].Gy[128,132] = 15.4428869493340
struct[0].Gy[128,133] = -1.35983690657062
struct[0].Gy[128,134] = 15.7892267502954
struct[0].Gy[128,135] = -3.16965629008966
struct[0].Gy[128,136] = 26.5300693004806
struct[0].Gy[128,137] = 4.84676915585801
struct[0].Gy[128,138] = -7.89461337514770
struct[0].Gy[128,139] = 1.58482814504483
struct[0].Gy[128,140] = -7.72144347466701
struct[0].Gy[128,141] = 0.679918453285310
struct[0].Gy[128,142] = -7.89461337514771
struct[0].Gy[128,143] = 1.58482814504483
struct[0].Gy[129,120] = -4.84676915585801
struct[0].Gy[129,121] = 26.5300693004806
struct[0].Gy[129,122] = -1.58482814504483
struct[0].Gy[129,123] = -7.89461337514770
struct[0].Gy[129,124] = -0.679918453285310
struct[0].Gy[129,125] = -7.72144347466701
struct[0].Gy[129,126] = -1.58482814504483
struct[0].Gy[129,127] = -7.89461337514771
struct[0].Gy[129,128] = 9.69353831171601
struct[0].Gy[129,129] = -53.0601386009611
struct[0].Gy[129,130] = 3.16965629008966
struct[0].Gy[129,131] = 15.7892267502954
struct[0].Gy[129,132] = 1.35983690657062
struct[0].Gy[129,133] = 15.4428869493340
struct[0].Gy[129,134] = 3.16965629008966
struct[0].Gy[129,135] = 15.7892267502954
struct[0].Gy[129,136] = -4.84676915585801
struct[0].Gy[129,137] = 26.5300693004806
struct[0].Gy[129,138] = -1.58482814504483
struct[0].Gy[129,139] = -7.89461337514770
struct[0].Gy[129,140] = -0.679918453285310
struct[0].Gy[129,141] = -7.72144347466701
struct[0].Gy[129,142] = -1.58482814504483
struct[0].Gy[129,143] = -7.89461337514771
struct[0].Gy[130,120] = -7.89461337514771
struct[0].Gy[130,121] = 1.58482814504483
struct[0].Gy[130,122] = 26.5300693004806
struct[0].Gy[130,123] = 4.84676915585801
struct[0].Gy[130,124] = -7.89461337514771
struct[0].Gy[130,125] = 1.58482814504483
struct[0].Gy[130,126] = -7.72144347466701
struct[0].Gy[130,127] = 0.679918453285308
struct[0].Gy[130,128] = 15.7892267502954
struct[0].Gy[130,129] = -3.16965629008966
struct[0].Gy[130,130] = -53.0601386009611
struct[0].Gy[130,131] = -9.69353831171602
struct[0].Gy[130,132] = 15.7892267502954
struct[0].Gy[130,133] = -3.16965629008967
struct[0].Gy[130,134] = 15.4428869493340
struct[0].Gy[130,135] = -1.35983690657062
struct[0].Gy[130,136] = -7.89461337514771
struct[0].Gy[130,137] = 1.58482814504483
struct[0].Gy[130,138] = 26.5300693004806
struct[0].Gy[130,139] = 4.84676915585801
struct[0].Gy[130,140] = -7.89461337514771
struct[0].Gy[130,141] = 1.58482814504483
struct[0].Gy[130,142] = -7.72144347466701
struct[0].Gy[130,143] = 0.679918453285308
struct[0].Gy[131,120] = -1.58482814504483
struct[0].Gy[131,121] = -7.89461337514771
struct[0].Gy[131,122] = -4.84676915585801
struct[0].Gy[131,123] = 26.5300693004806
struct[0].Gy[131,124] = -1.58482814504483
struct[0].Gy[131,125] = -7.89461337514771
struct[0].Gy[131,126] = -0.679918453285308
struct[0].Gy[131,127] = -7.72144347466701
struct[0].Gy[131,128] = 3.16965629008966
struct[0].Gy[131,129] = 15.7892267502954
struct[0].Gy[131,130] = 9.69353831171602
struct[0].Gy[131,131] = -53.0601386009611
struct[0].Gy[131,132] = 3.16965629008967
struct[0].Gy[131,133] = 15.7892267502954
struct[0].Gy[131,134] = 1.35983690657062
struct[0].Gy[131,135] = 15.4428869493340
struct[0].Gy[131,136] = -1.58482814504483
struct[0].Gy[131,137] = -7.89461337514771
struct[0].Gy[131,138] = -4.84676915585801
struct[0].Gy[131,139] = 26.5300693004806
struct[0].Gy[131,140] = -1.58482814504483
struct[0].Gy[131,141] = -7.89461337514771
struct[0].Gy[131,142] = -0.679918453285308
struct[0].Gy[131,143] = -7.72144347466701
struct[0].Gy[132,120] = -7.72144347466701
struct[0].Gy[132,121] = 0.679918453285310
struct[0].Gy[132,122] = -7.89461337514770
struct[0].Gy[132,123] = 1.58482814504483
struct[0].Gy[132,124] = 26.5300693004806
struct[0].Gy[132,125] = 4.84676915585801
struct[0].Gy[132,126] = -7.89461337514771
struct[0].Gy[132,127] = 1.58482814504483
struct[0].Gy[132,128] = 15.4428869493340
struct[0].Gy[132,129] = -1.35983690657062
struct[0].Gy[132,130] = 15.7892267502954
struct[0].Gy[132,131] = -3.16965629008966
struct[0].Gy[132,132] = -53.0601386009611
struct[0].Gy[132,133] = -9.69353831171602
struct[0].Gy[132,134] = 15.7892267502954
struct[0].Gy[132,135] = -3.16965629008967
struct[0].Gy[132,136] = -7.72144347466701
struct[0].Gy[132,137] = 0.679918453285310
struct[0].Gy[132,138] = -7.89461337514770
struct[0].Gy[132,139] = 1.58482814504483
struct[0].Gy[132,140] = 26.5300693004806
struct[0].Gy[132,141] = 4.84676915585801
struct[0].Gy[132,142] = -7.89461337514771
struct[0].Gy[132,143] = 1.58482814504483
struct[0].Gy[133,120] = -0.679918453285310
struct[0].Gy[133,121] = -7.72144347466701
struct[0].Gy[133,122] = -1.58482814504483
struct[0].Gy[133,123] = -7.89461337514770
struct[0].Gy[133,124] = -4.84676915585801
struct[0].Gy[133,125] = 26.5300693004806
struct[0].Gy[133,126] = -1.58482814504483
struct[0].Gy[133,127] = -7.89461337514771
struct[0].Gy[133,128] = 1.35983690657062
struct[0].Gy[133,129] = 15.4428869493340
struct[0].Gy[133,130] = 3.16965629008966
struct[0].Gy[133,131] = 15.7892267502954
struct[0].Gy[133,132] = 9.69353831171602
struct[0].Gy[133,133] = -53.0601386009611
struct[0].Gy[133,134] = 3.16965629008967
struct[0].Gy[133,135] = 15.7892267502954
struct[0].Gy[133,136] = -0.679918453285310
struct[0].Gy[133,137] = -7.72144347466701
struct[0].Gy[133,138] = -1.58482814504483
struct[0].Gy[133,139] = -7.89461337514770
struct[0].Gy[133,140] = -4.84676915585801
struct[0].Gy[133,141] = 26.5300693004806
struct[0].Gy[133,142] = -1.58482814504483
struct[0].Gy[133,143] = -7.89461337514771
struct[0].Gy[134,120] = -7.89461337514771
struct[0].Gy[134,121] = 1.58482814504483
struct[0].Gy[134,122] = -7.72144347466701
struct[0].Gy[134,123] = 0.679918453285308
struct[0].Gy[134,124] = -7.89461337514771
struct[0].Gy[134,125] = 1.58482814504483
struct[0].Gy[134,126] = 26.5300693004806
struct[0].Gy[134,127] = 4.84676915585801
struct[0].Gy[134,128] = 15.7892267502954
struct[0].Gy[134,129] = -3.16965629008966
struct[0].Gy[134,130] = 15.4428869493340
struct[0].Gy[134,131] = -1.35983690657062
struct[0].Gy[134,132] = 15.7892267502954
struct[0].Gy[134,133] = -3.16965629008966
struct[0].Gy[134,134] = -53.0851386009611
struct[0].Gy[134,135] = -9.69353831171602
struct[0].Gy[134,136] = -7.89461337514771
struct[0].Gy[134,137] = 1.58482814504483
struct[0].Gy[134,138] = -7.72144347466701
struct[0].Gy[134,139] = 0.679918453285308
struct[0].Gy[134,140] = -7.89461337514771
struct[0].Gy[134,141] = 1.58482814504483
struct[0].Gy[134,142] = 26.5300693004806
struct[0].Gy[134,143] = 4.84676915585801
struct[0].Gy[135,120] = -1.58482814504483
struct[0].Gy[135,121] = -7.89461337514771
struct[0].Gy[135,122] = -0.679918453285308
struct[0].Gy[135,123] = -7.72144347466701
struct[0].Gy[135,124] = -1.58482814504483
struct[0].Gy[135,125] = -7.89461337514771
struct[0].Gy[135,126] = -4.84676915585801
struct[0].Gy[135,127] = 26.5300693004806
struct[0].Gy[135,128] = 3.16965629008966
struct[0].Gy[135,129] = 15.7892267502954
struct[0].Gy[135,130] = 1.35983690657062
struct[0].Gy[135,131] = 15.4428869493340
struct[0].Gy[135,132] = 3.16965629008966
struct[0].Gy[135,133] = 15.7892267502954
struct[0].Gy[135,134] = 9.69353831171602
struct[0].Gy[135,135] = -53.0851386009611
struct[0].Gy[135,136] = -1.58482814504483
struct[0].Gy[135,137] = -7.89461337514771
struct[0].Gy[135,138] = -0.679918453285308
struct[0].Gy[135,139] = -7.72144347466701
struct[0].Gy[135,140] = -1.58482814504483
struct[0].Gy[135,141] = -7.89461337514771
struct[0].Gy[135,142] = -4.84676915585801
struct[0].Gy[135,143] = 26.5300693004806
struct[0].Gy[136,16] = 26.5300693004806
struct[0].Gy[136,17] = 4.84676915585801
struct[0].Gy[136,18] = -7.89461337514770
struct[0].Gy[136,19] = 1.58482814504483
struct[0].Gy[136,20] = -7.72144347466701
struct[0].Gy[136,21] = 0.679918453285310
struct[0].Gy[136,22] = -7.89461337514771
struct[0].Gy[136,23] = 1.58482814504483
struct[0].Gy[136,128] = 26.5300693004806
struct[0].Gy[136,129] = 4.84676915585801
struct[0].Gy[136,130] = -7.89461337514770
struct[0].Gy[136,131] = 1.58482814504483
struct[0].Gy[136,132] = -7.72144347466701
struct[0].Gy[136,133] = 0.679918453285310
struct[0].Gy[136,134] = -7.89461337514771
struct[0].Gy[136,135] = 1.58482814504483
struct[0].Gy[136,136] = -53.0601386009611
struct[0].Gy[136,137] = -9.69353831171601
struct[0].Gy[136,138] = 15.7892267502954
struct[0].Gy[136,139] = -3.16965629008966
struct[0].Gy[136,140] = 15.4428869493340
struct[0].Gy[136,141] = -1.35983690657062
struct[0].Gy[136,142] = 15.7892267502954
struct[0].Gy[136,143] = -3.16965629008966
struct[0].Gy[137,16] = -4.84676915585801
struct[0].Gy[137,17] = 26.5300693004806
struct[0].Gy[137,18] = -1.58482814504483
struct[0].Gy[137,19] = -7.89461337514770
struct[0].Gy[137,20] = -0.679918453285310
struct[0].Gy[137,21] = -7.72144347466701
struct[0].Gy[137,22] = -1.58482814504483
struct[0].Gy[137,23] = -7.89461337514771
struct[0].Gy[137,128] = -4.84676915585801
struct[0].Gy[137,129] = 26.5300693004806
struct[0].Gy[137,130] = -1.58482814504483
struct[0].Gy[137,131] = -7.89461337514770
struct[0].Gy[137,132] = -0.679918453285310
struct[0].Gy[137,133] = -7.72144347466701
struct[0].Gy[137,134] = -1.58482814504483
struct[0].Gy[137,135] = -7.89461337514771
struct[0].Gy[137,136] = 9.69353831171601
struct[0].Gy[137,137] = -53.0601386009611
struct[0].Gy[137,138] = 3.16965629008966
struct[0].Gy[137,139] = 15.7892267502954
struct[0].Gy[137,140] = 1.35983690657062
struct[0].Gy[137,141] = 15.4428869493340
struct[0].Gy[137,142] = 3.16965629008966
struct[0].Gy[137,143] = 15.7892267502954
struct[0].Gy[138,16] = -7.89461337514771
struct[0].Gy[138,17] = 1.58482814504483
struct[0].Gy[138,18] = 26.5300693004806
struct[0].Gy[138,19] = 4.84676915585801
struct[0].Gy[138,20] = -7.89461337514771
struct[0].Gy[138,21] = 1.58482814504483
struct[0].Gy[138,22] = -7.72144347466701
struct[0].Gy[138,23] = 0.679918453285308
struct[0].Gy[138,128] = -7.89461337514771
struct[0].Gy[138,129] = 1.58482814504483
struct[0].Gy[138,130] = 26.5300693004806
struct[0].Gy[138,131] = 4.84676915585801
struct[0].Gy[138,132] = -7.89461337514771
struct[0].Gy[138,133] = 1.58482814504483
struct[0].Gy[138,134] = -7.72144347466701
struct[0].Gy[138,135] = 0.679918453285308
struct[0].Gy[138,136] = 15.7892267502954
struct[0].Gy[138,137] = -3.16965629008966
struct[0].Gy[138,138] = -53.0601386009611
struct[0].Gy[138,139] = -9.69353831171602
struct[0].Gy[138,140] = 15.7892267502954
struct[0].Gy[138,141] = -3.16965629008967
struct[0].Gy[138,142] = 15.4428869493340
struct[0].Gy[138,143] = -1.35983690657062
struct[0].Gy[139,16] = -1.58482814504483
struct[0].Gy[139,17] = -7.89461337514771
struct[0].Gy[139,18] = -4.84676915585801
struct[0].Gy[139,19] = 26.5300693004806
struct[0].Gy[139,20] = -1.58482814504483
struct[0].Gy[139,21] = -7.89461337514771
struct[0].Gy[139,22] = -0.679918453285308
struct[0].Gy[139,23] = -7.72144347466701
struct[0].Gy[139,128] = -1.58482814504483
struct[0].Gy[139,129] = -7.89461337514771
struct[0].Gy[139,130] = -4.84676915585801
struct[0].Gy[139,131] = 26.5300693004806
struct[0].Gy[139,132] = -1.58482814504483
struct[0].Gy[139,133] = -7.89461337514771
struct[0].Gy[139,134] = -0.679918453285308
struct[0].Gy[139,135] = -7.72144347466701
struct[0].Gy[139,136] = 3.16965629008966
struct[0].Gy[139,137] = 15.7892267502954
struct[0].Gy[139,138] = 9.69353831171602
struct[0].Gy[139,139] = -53.0601386009611
struct[0].Gy[139,140] = 3.16965629008967
struct[0].Gy[139,141] = 15.7892267502954
struct[0].Gy[139,142] = 1.35983690657062
struct[0].Gy[139,143] = 15.4428869493340
struct[0].Gy[140,16] = -7.72144347466701
struct[0].Gy[140,17] = 0.679918453285310
struct[0].Gy[140,18] = -7.89461337514770
struct[0].Gy[140,19] = 1.58482814504483
struct[0].Gy[140,20] = 26.5300693004806
struct[0].Gy[140,21] = 4.84676915585801
struct[0].Gy[140,22] = -7.89461337514771
struct[0].Gy[140,23] = 1.58482814504483
struct[0].Gy[140,128] = -7.72144347466701
struct[0].Gy[140,129] = 0.679918453285310
struct[0].Gy[140,130] = -7.89461337514770
struct[0].Gy[140,131] = 1.58482814504483
struct[0].Gy[140,132] = 26.5300693004806
struct[0].Gy[140,133] = 4.84676915585801
struct[0].Gy[140,134] = -7.89461337514771
struct[0].Gy[140,135] = 1.58482814504483
struct[0].Gy[140,136] = 15.4428869493340
struct[0].Gy[140,137] = -1.35983690657062
struct[0].Gy[140,138] = 15.7892267502954
struct[0].Gy[140,139] = -3.16965629008966
struct[0].Gy[140,140] = -53.0601386009611
struct[0].Gy[140,141] = -9.69353831171602
struct[0].Gy[140,142] = 15.7892267502954
struct[0].Gy[140,143] = -3.16965629008967
struct[0].Gy[141,16] = -0.679918453285310
struct[0].Gy[141,17] = -7.72144347466701
struct[0].Gy[141,18] = -1.58482814504483
struct[0].Gy[141,19] = -7.89461337514770
struct[0].Gy[141,20] = -4.84676915585801
struct[0].Gy[141,21] = 26.5300693004806
struct[0].Gy[141,22] = -1.58482814504483
struct[0].Gy[141,23] = -7.89461337514771
struct[0].Gy[141,128] = -0.679918453285310
struct[0].Gy[141,129] = -7.72144347466701
struct[0].Gy[141,130] = -1.58482814504483
struct[0].Gy[141,131] = -7.89461337514770
struct[0].Gy[141,132] = -4.84676915585801
struct[0].Gy[141,133] = 26.5300693004806
struct[0].Gy[141,134] = -1.58482814504483
struct[0].Gy[141,135] = -7.89461337514771
struct[0].Gy[141,136] = 1.35983690657062
struct[0].Gy[141,137] = 15.4428869493340
struct[0].Gy[141,138] = 3.16965629008966
struct[0].Gy[141,139] = 15.7892267502954
struct[0].Gy[141,140] = 9.69353831171602
struct[0].Gy[141,141] = -53.0601386009611
struct[0].Gy[141,142] = 3.16965629008967
struct[0].Gy[141,143] = 15.7892267502954
struct[0].Gy[142,16] = -7.89461337514771
struct[0].Gy[142,17] = 1.58482814504483
struct[0].Gy[142,18] = -7.72144347466701
struct[0].Gy[142,19] = 0.679918453285308
struct[0].Gy[142,20] = -7.89461337514771
struct[0].Gy[142,21] = 1.58482814504483
struct[0].Gy[142,22] = 26.5300693004806
struct[0].Gy[142,23] = 4.84676915585801
struct[0].Gy[142,128] = -7.89461337514771
struct[0].Gy[142,129] = 1.58482814504483
struct[0].Gy[142,130] = -7.72144347466701
struct[0].Gy[142,131] = 0.679918453285308
struct[0].Gy[142,132] = -7.89461337514771
struct[0].Gy[142,133] = 1.58482814504483
struct[0].Gy[142,134] = 26.5300693004806
struct[0].Gy[142,135] = 4.84676915585801
struct[0].Gy[142,136] = 15.7892267502954
struct[0].Gy[142,137] = -3.16965629008966
struct[0].Gy[142,138] = 15.4428869493340
struct[0].Gy[142,139] = -1.35983690657062
struct[0].Gy[142,140] = 15.7892267502954
struct[0].Gy[142,141] = -3.16965629008966
struct[0].Gy[142,142] = -53.0601386009611
struct[0].Gy[142,143] = -9.69353831171602
struct[0].Gy[143,16] = -1.58482814504483
struct[0].Gy[143,17] = -7.89461337514771
struct[0].Gy[143,18] = -0.679918453285308
struct[0].Gy[143,19] = -7.72144347466701
struct[0].Gy[143,20] = -1.58482814504483
struct[0].Gy[143,21] = -7.89461337514771
struct[0].Gy[143,22] = -4.84676915585801
struct[0].Gy[143,23] = 26.5300693004806
struct[0].Gy[143,128] = -1.58482814504483
struct[0].Gy[143,129] = -7.89461337514771
struct[0].Gy[143,130] = -0.679918453285308
struct[0].Gy[143,131] = -7.72144347466701
struct[0].Gy[143,132] = -1.58482814504483
struct[0].Gy[143,133] = -7.89461337514771
struct[0].Gy[143,134] = -4.84676915585801
struct[0].Gy[143,135] = 26.5300693004806
struct[0].Gy[143,136] = 3.16965629008966
struct[0].Gy[143,137] = 15.7892267502954
struct[0].Gy[143,138] = 1.35983690657062
struct[0].Gy[143,139] = 15.4428869493340
struct[0].Gy[143,140] = 3.16965629008966
struct[0].Gy[143,141] = 15.7892267502954
struct[0].Gy[143,142] = 9.69353831171602
struct[0].Gy[143,143] = -53.0601386009611
struct[0].Gy[144,0] = i_R1_a_r
struct[0].Gy[144,1] = i_R1_a_i
struct[0].Gy[144,6] = -i_R1_a_r
struct[0].Gy[144,7] = -i_R1_a_i
struct[0].Gy[144,144] = v_R1_a_r - v_R1_n_r
struct[0].Gy[144,145] = v_R1_a_i - v_R1_n_i
struct[0].Gy[145,2] = i_R1_b_r
struct[0].Gy[145,3] = i_R1_b_i
struct[0].Gy[145,6] = -i_R1_b_r
struct[0].Gy[145,7] = -i_R1_b_i
struct[0].Gy[145,146] = v_R1_b_r - v_R1_n_r
struct[0].Gy[145,147] = v_R1_b_i - v_R1_n_i
struct[0].Gy[146,4] = i_R1_c_r
struct[0].Gy[146,5] = i_R1_c_i
struct[0].Gy[146,6] = -i_R1_c_r
struct[0].Gy[146,7] = -i_R1_c_i
struct[0].Gy[146,148] = v_R1_c_r - v_R1_n_r
struct[0].Gy[146,149] = v_R1_c_i - v_R1_n_i
struct[0].Gy[147,0] = -i_R1_a_i
struct[0].Gy[147,1] = i_R1_a_r
struct[0].Gy[147,6] = i_R1_a_i
struct[0].Gy[147,7] = -i_R1_a_r
struct[0].Gy[147,144] = v_R1_a_i - v_R1_n_i
struct[0].Gy[147,145] = -v_R1_a_r + v_R1_n_r
struct[0].Gy[148,2] = -i_R1_b_i
struct[0].Gy[148,3] = i_R1_b_r
struct[0].Gy[148,6] = i_R1_b_i
struct[0].Gy[148,7] = -i_R1_b_r
struct[0].Gy[148,146] = v_R1_b_i - v_R1_n_i
struct[0].Gy[148,147] = -v_R1_b_r + v_R1_n_r
struct[0].Gy[149,4] = -i_R1_c_i
struct[0].Gy[149,5] = i_R1_c_r
struct[0].Gy[149,6] = i_R1_c_i
struct[0].Gy[149,7] = -i_R1_c_r
struct[0].Gy[149,148] = v_R1_c_i - v_R1_n_i
struct[0].Gy[149,149] = -v_R1_c_r + v_R1_n_r
struct[0].Gy[150,144] = 1
struct[0].Gy[150,146] = 1
struct[0].Gy[150,148] = 1
struct[0].Gy[150,150] = 1
struct[0].Gy[151,145] = 1
struct[0].Gy[151,147] = 1
struct[0].Gy[151,149] = 1
struct[0].Gy[151,151] = 1
struct[0].Gy[152,8] = i_R11_a_r
struct[0].Gy[152,9] = i_R11_a_i
struct[0].Gy[152,14] = -i_R11_a_r
struct[0].Gy[152,15] = -i_R11_a_i
struct[0].Gy[152,152] = v_R11_a_r - v_R11_n_r
struct[0].Gy[152,153] = v_R11_a_i - v_R11_n_i
struct[0].Gy[153,10] = i_R11_b_r
struct[0].Gy[153,11] = i_R11_b_i
struct[0].Gy[153,14] = -i_R11_b_r
struct[0].Gy[153,15] = -i_R11_b_i
struct[0].Gy[153,154] = v_R11_b_r - v_R11_n_r
struct[0].Gy[153,155] = v_R11_b_i - v_R11_n_i
struct[0].Gy[154,12] = i_R11_c_r
struct[0].Gy[154,13] = i_R11_c_i
struct[0].Gy[154,14] = -i_R11_c_r
struct[0].Gy[154,15] = -i_R11_c_i
struct[0].Gy[154,156] = v_R11_c_r - v_R11_n_r
struct[0].Gy[154,157] = v_R11_c_i - v_R11_n_i
struct[0].Gy[155,8] = -i_R11_a_i
struct[0].Gy[155,9] = i_R11_a_r
struct[0].Gy[155,14] = i_R11_a_i
struct[0].Gy[155,15] = -i_R11_a_r
struct[0].Gy[155,152] = v_R11_a_i - v_R11_n_i
struct[0].Gy[155,153] = -v_R11_a_r + v_R11_n_r
struct[0].Gy[156,10] = -i_R11_b_i
struct[0].Gy[156,11] = i_R11_b_r
struct[0].Gy[156,14] = i_R11_b_i
struct[0].Gy[156,15] = -i_R11_b_r
struct[0].Gy[156,154] = v_R11_b_i - v_R11_n_i
struct[0].Gy[156,155] = -v_R11_b_r + v_R11_n_r
struct[0].Gy[157,12] = -i_R11_c_i
struct[0].Gy[157,13] = i_R11_c_r
struct[0].Gy[157,14] = i_R11_c_i
struct[0].Gy[157,15] = -i_R11_c_r
struct[0].Gy[157,156] = v_R11_c_i - v_R11_n_i
struct[0].Gy[157,157] = -v_R11_c_r + v_R11_n_r
struct[0].Gy[158,152] = 1
struct[0].Gy[158,154] = 1
struct[0].Gy[158,156] = 1
struct[0].Gy[158,158] = 1
struct[0].Gy[159,153] = 1
struct[0].Gy[159,155] = 1
struct[0].Gy[159,157] = 1
struct[0].Gy[159,159] = 1
struct[0].Gy[160,16] = i_R15_a_r
struct[0].Gy[160,17] = i_R15_a_i
struct[0].Gy[160,22] = -i_R15_a_r
struct[0].Gy[160,23] = -i_R15_a_i
struct[0].Gy[160,160] = v_R15_a_r - v_R15_n_r
struct[0].Gy[160,161] = v_R15_a_i - v_R15_n_i
struct[0].Gy[161,18] = i_R15_b_r
struct[0].Gy[161,19] = i_R15_b_i
struct[0].Gy[161,22] = -i_R15_b_r
struct[0].Gy[161,23] = -i_R15_b_i
struct[0].Gy[161,162] = v_R15_b_r - v_R15_n_r
struct[0].Gy[161,163] = v_R15_b_i - v_R15_n_i
struct[0].Gy[162,20] = i_R15_c_r
struct[0].Gy[162,21] = i_R15_c_i
struct[0].Gy[162,22] = -i_R15_c_r
struct[0].Gy[162,23] = -i_R15_c_i
struct[0].Gy[162,164] = v_R15_c_r - v_R15_n_r
struct[0].Gy[162,165] = v_R15_c_i - v_R15_n_i
struct[0].Gy[163,16] = -i_R15_a_i
struct[0].Gy[163,17] = i_R15_a_r
struct[0].Gy[163,22] = i_R15_a_i
struct[0].Gy[163,23] = -i_R15_a_r
struct[0].Gy[163,160] = v_R15_a_i - v_R15_n_i
struct[0].Gy[163,161] = -v_R15_a_r + v_R15_n_r
struct[0].Gy[164,18] = -i_R15_b_i
struct[0].Gy[164,19] = i_R15_b_r
struct[0].Gy[164,22] = i_R15_b_i
struct[0].Gy[164,23] = -i_R15_b_r
struct[0].Gy[164,162] = v_R15_b_i - v_R15_n_i
struct[0].Gy[164,163] = -v_R15_b_r + v_R15_n_r
struct[0].Gy[165,20] = -i_R15_c_i
struct[0].Gy[165,21] = i_R15_c_r
struct[0].Gy[165,22] = i_R15_c_i
struct[0].Gy[165,23] = -i_R15_c_r
struct[0].Gy[165,164] = v_R15_c_i - v_R15_n_i
struct[0].Gy[165,165] = -v_R15_c_r + v_R15_n_r
struct[0].Gy[166,160] = 1
struct[0].Gy[166,162] = 1
struct[0].Gy[166,164] = 1
struct[0].Gy[166,166] = 1
struct[0].Gy[167,161] = 1
struct[0].Gy[167,163] = 1
struct[0].Gy[167,165] = 1
struct[0].Gy[167,167] = 1
struct[0].Gy[168,24] = i_R16_a_r
struct[0].Gy[168,25] = i_R16_a_i
struct[0].Gy[168,30] = -i_R16_a_r
struct[0].Gy[168,31] = -i_R16_a_i
struct[0].Gy[168,168] = v_R16_a_r - v_R16_n_r
struct[0].Gy[168,169] = v_R16_a_i - v_R16_n_i
struct[0].Gy[169,26] = i_R16_b_r
struct[0].Gy[169,27] = i_R16_b_i
struct[0].Gy[169,30] = -i_R16_b_r
struct[0].Gy[169,31] = -i_R16_b_i
struct[0].Gy[169,170] = v_R16_b_r - v_R16_n_r
struct[0].Gy[169,171] = v_R16_b_i - v_R16_n_i
struct[0].Gy[170,28] = i_R16_c_r
struct[0].Gy[170,29] = i_R16_c_i
struct[0].Gy[170,30] = -i_R16_c_r
struct[0].Gy[170,31] = -i_R16_c_i
struct[0].Gy[170,172] = v_R16_c_r - v_R16_n_r
struct[0].Gy[170,173] = v_R16_c_i - v_R16_n_i
struct[0].Gy[171,24] = -i_R16_a_i
struct[0].Gy[171,25] = i_R16_a_r
struct[0].Gy[171,30] = i_R16_a_i
struct[0].Gy[171,31] = -i_R16_a_r
struct[0].Gy[171,168] = v_R16_a_i - v_R16_n_i
struct[0].Gy[171,169] = -v_R16_a_r + v_R16_n_r
struct[0].Gy[172,26] = -i_R16_b_i
struct[0].Gy[172,27] = i_R16_b_r
struct[0].Gy[172,30] = i_R16_b_i
struct[0].Gy[172,31] = -i_R16_b_r
struct[0].Gy[172,170] = v_R16_b_i - v_R16_n_i
struct[0].Gy[172,171] = -v_R16_b_r + v_R16_n_r
struct[0].Gy[173,28] = -i_R16_c_i
struct[0].Gy[173,29] = i_R16_c_r
struct[0].Gy[173,30] = i_R16_c_i
struct[0].Gy[173,31] = -i_R16_c_r
struct[0].Gy[173,172] = v_R16_c_i - v_R16_n_i
struct[0].Gy[173,173] = -v_R16_c_r + v_R16_n_r
struct[0].Gy[174,168] = 1
struct[0].Gy[174,170] = 1
struct[0].Gy[174,172] = 1
struct[0].Gy[174,174] = 1
struct[0].Gy[175,169] = 1
struct[0].Gy[175,171] = 1
struct[0].Gy[175,173] = 1
struct[0].Gy[175,175] = 1
struct[0].Gy[176,32] = i_R17_a_r
struct[0].Gy[176,33] = i_R17_a_i
struct[0].Gy[176,38] = -i_R17_a_r
struct[0].Gy[176,39] = -i_R17_a_i
struct[0].Gy[176,176] = v_R17_a_r - v_R17_n_r
struct[0].Gy[176,177] = v_R17_a_i - v_R17_n_i
struct[0].Gy[177,34] = i_R17_b_r
struct[0].Gy[177,35] = i_R17_b_i
struct[0].Gy[177,38] = -i_R17_b_r
struct[0].Gy[177,39] = -i_R17_b_i
struct[0].Gy[177,178] = v_R17_b_r - v_R17_n_r
struct[0].Gy[177,179] = v_R17_b_i - v_R17_n_i
struct[0].Gy[178,36] = i_R17_c_r
struct[0].Gy[178,37] = i_R17_c_i
struct[0].Gy[178,38] = -i_R17_c_r
struct[0].Gy[178,39] = -i_R17_c_i
struct[0].Gy[178,180] = v_R17_c_r - v_R17_n_r
struct[0].Gy[178,181] = v_R17_c_i - v_R17_n_i
struct[0].Gy[179,32] = -i_R17_a_i
struct[0].Gy[179,33] = i_R17_a_r
struct[0].Gy[179,38] = i_R17_a_i
struct[0].Gy[179,39] = -i_R17_a_r
struct[0].Gy[179,176] = v_R17_a_i - v_R17_n_i
struct[0].Gy[179,177] = -v_R17_a_r + v_R17_n_r
struct[0].Gy[180,34] = -i_R17_b_i
struct[0].Gy[180,35] = i_R17_b_r
struct[0].Gy[180,38] = i_R17_b_i
struct[0].Gy[180,39] = -i_R17_b_r
struct[0].Gy[180,178] = v_R17_b_i - v_R17_n_i
struct[0].Gy[180,179] = -v_R17_b_r + v_R17_n_r
struct[0].Gy[181,36] = -i_R17_c_i
struct[0].Gy[181,37] = i_R17_c_r
struct[0].Gy[181,38] = i_R17_c_i
struct[0].Gy[181,39] = -i_R17_c_r
struct[0].Gy[181,180] = v_R17_c_i - v_R17_n_i
struct[0].Gy[181,181] = -v_R17_c_r + v_R17_n_r
struct[0].Gy[182,176] = 1
struct[0].Gy[182,178] = 1
struct[0].Gy[182,180] = 1
struct[0].Gy[182,182] = 1
struct[0].Gy[183,177] = 1
struct[0].Gy[183,179] = 1
struct[0].Gy[183,181] = 1
struct[0].Gy[183,183] = 1
struct[0].Gy[184,40] = i_R18_a_r
struct[0].Gy[184,41] = i_R18_a_i
struct[0].Gy[184,46] = -i_R18_a_r
struct[0].Gy[184,47] = -i_R18_a_i
struct[0].Gy[184,184] = v_R18_a_r - v_R18_n_r
struct[0].Gy[184,185] = v_R18_a_i - v_R18_n_i
struct[0].Gy[185,42] = i_R18_b_r
struct[0].Gy[185,43] = i_R18_b_i
struct[0].Gy[185,46] = -i_R18_b_r
struct[0].Gy[185,47] = -i_R18_b_i
struct[0].Gy[185,186] = v_R18_b_r - v_R18_n_r
struct[0].Gy[185,187] = v_R18_b_i - v_R18_n_i
struct[0].Gy[186,44] = i_R18_c_r
struct[0].Gy[186,45] = i_R18_c_i
struct[0].Gy[186,46] = -i_R18_c_r
struct[0].Gy[186,47] = -i_R18_c_i
struct[0].Gy[186,188] = v_R18_c_r - v_R18_n_r
struct[0].Gy[186,189] = v_R18_c_i - v_R18_n_i
struct[0].Gy[187,40] = -i_R18_a_i
struct[0].Gy[187,41] = i_R18_a_r
struct[0].Gy[187,46] = i_R18_a_i
struct[0].Gy[187,47] = -i_R18_a_r
struct[0].Gy[187,184] = v_R18_a_i - v_R18_n_i
struct[0].Gy[187,185] = -v_R18_a_r + v_R18_n_r
struct[0].Gy[188,42] = -i_R18_b_i
struct[0].Gy[188,43] = i_R18_b_r
struct[0].Gy[188,46] = i_R18_b_i
struct[0].Gy[188,47] = -i_R18_b_r
struct[0].Gy[188,186] = v_R18_b_i - v_R18_n_i
struct[0].Gy[188,187] = -v_R18_b_r + v_R18_n_r
struct[0].Gy[189,44] = -i_R18_c_i
struct[0].Gy[189,45] = i_R18_c_r
struct[0].Gy[189,46] = i_R18_c_i
struct[0].Gy[189,47] = -i_R18_c_r
struct[0].Gy[189,188] = v_R18_c_i - v_R18_n_i
struct[0].Gy[189,189] = -v_R18_c_r + v_R18_n_r
struct[0].Gy[190,184] = 1
struct[0].Gy[190,186] = 1
struct[0].Gy[190,188] = 1
struct[0].Gy[190,190] = 1
struct[0].Gy[191,185] = 1
struct[0].Gy[191,187] = 1
struct[0].Gy[191,189] = 1
struct[0].Gy[191,191] = 1
struct[0].Gu[0,0] = 0.202153455598608
struct[0].Gu[0,1] = 0.808613822394434
struct[0].Gu[0,4] = -0.202153455598608
struct[0].Gu[0,5] = -0.808613822394434
struct[0].Gu[1,0] = -0.808613822394434
struct[0].Gu[1,1] = 0.202153455598608
struct[0].Gu[1,4] = 0.808613822394434
struct[0].Gu[1,5] = -0.202153455598608
struct[0].Gu[2,0] = -0.202153455598608
struct[0].Gu[2,1] = -0.808613822394434
struct[0].Gu[2,2] = 0.202153455598608
struct[0].Gu[2,3] = 0.808613822394434
struct[0].Gu[3,0] = 0.808613822394434
struct[0].Gu[3,1] = -0.202153455598608
struct[0].Gu[3,2] = -0.808613822394434
struct[0].Gu[3,3] = 0.202153455598608
struct[0].Gu[4,2] = -0.202153455598608
struct[0].Gu[4,3] = -0.808613822394434
struct[0].Gu[4,4] = 0.202153455598608
struct[0].Gu[4,5] = 0.808613822394434
struct[0].Gu[5,2] = 0.808613822394434
struct[0].Gu[5,3] = -0.202153455598608
struct[0].Gu[5,4] = -0.808613822394434
struct[0].Gu[5,5] = 0.202153455598608
struct[0].Gu[6,6] = 1
struct[0].Gu[7,7] = 1
struct[0].Gu[14,8] = 1
struct[0].Gu[15,9] = 1
struct[0].Gu[22,10] = 1
struct[0].Gu[23,11] = 1
struct[0].Gu[30,12] = 1
struct[0].Gu[31,13] = 1
struct[0].Gu[38,14] = 1
struct[0].Gu[39,15] = 1
struct[0].Gu[46,16] = 1
struct[0].Gu[47,17] = 1
struct[0].Gu[48,18] = 1
struct[0].Gu[49,19] = 1
struct[0].Gu[50,20] = 1
struct[0].Gu[51,21] = 1
struct[0].Gu[52,22] = 1
struct[0].Gu[53,23] = 1
struct[0].Gu[54,24] = 1
struct[0].Gu[55,25] = 1
struct[0].Gu[56,26] = 1
struct[0].Gu[57,27] = 1
struct[0].Gu[58,28] = 1
struct[0].Gu[59,29] = 1
struct[0].Gu[60,30] = 1
struct[0].Gu[61,31] = 1
struct[0].Gu[62,32] = 1
struct[0].Gu[63,33] = 1
struct[0].Gu[64,34] = 1
struct[0].Gu[65,35] = 1
struct[0].Gu[66,36] = 1
struct[0].Gu[67,37] = 1
struct[0].Gu[68,38] = 1
struct[0].Gu[69,39] = 1
struct[0].Gu[70,40] = 1
struct[0].Gu[71,41] = 1
struct[0].Gu[72,42] = 1
struct[0].Gu[73,43] = 1
struct[0].Gu[74,44] = 1
struct[0].Gu[75,45] = 1
struct[0].Gu[76,46] = 1
struct[0].Gu[77,47] = 1
struct[0].Gu[78,48] = 1
struct[0].Gu[79,49] = 1
struct[0].Gu[80,50] = 1
struct[0].Gu[81,51] = 1
struct[0].Gu[82,52] = 1
struct[0].Gu[83,53] = 1
struct[0].Gu[84,54] = 1
struct[0].Gu[85,55] = 1
struct[0].Gu[86,56] = 1
struct[0].Gu[87,57] = 1
struct[0].Gu[88,58] = 1
struct[0].Gu[89,59] = 1
struct[0].Gu[90,60] = 1
struct[0].Gu[91,61] = 1
struct[0].Gu[92,62] = 1
struct[0].Gu[93,63] = 1
struct[0].Gu[94,64] = 1
struct[0].Gu[95,65] = 1
struct[0].Gu[96,66] = 1
struct[0].Gu[97,67] = 1
struct[0].Gu[98,68] = 1
struct[0].Gu[99,69] = 1
struct[0].Gu[100,70] = 1
struct[0].Gu[101,71] = 1
struct[0].Gu[102,72] = 1
struct[0].Gu[103,73] = 1
struct[0].Gu[104,74] = 1
struct[0].Gu[105,75] = 1
struct[0].Gu[106,76] = 1
struct[0].Gu[107,77] = 1
struct[0].Gu[108,78] = 1
struct[0].Gu[109,79] = 1
struct[0].Gu[110,80] = 1
struct[0].Gu[111,81] = 1
struct[0].Gu[112,82] = 1
struct[0].Gu[113,83] = 1
struct[0].Gu[114,84] = 1
struct[0].Gu[115,85] = 1
struct[0].Gu[116,86] = 1
struct[0].Gu[117,87] = 1
struct[0].Gu[118,88] = 1
struct[0].Gu[119,89] = 1
struct[0].Gu[120,90] = 1
struct[0].Gu[121,91] = 1
struct[0].Gu[122,92] = 1
struct[0].Gu[123,93] = 1
struct[0].Gu[124,94] = 1
struct[0].Gu[125,95] = 1
struct[0].Gu[126,96] = 1
struct[0].Gu[127,97] = 1
struct[0].Gu[128,98] = 1
struct[0].Gu[129,99] = 1
struct[0].Gu[130,100] = 1
struct[0].Gu[131,101] = 1
struct[0].Gu[132,102] = 1
struct[0].Gu[133,103] = 1
struct[0].Gu[134,104] = 1
struct[0].Gu[135,105] = 1
struct[0].Gu[136,106] = 1
struct[0].Gu[137,107] = 1
struct[0].Gu[138,108] = 1
struct[0].Gu[139,109] = 1
struct[0].Gu[140,110] = 1
struct[0].Gu[141,111] = 1
struct[0].Gu[142,112] = 1
struct[0].Gu[143,113] = 1
struct[0].Gu[144,114] = -1
struct[0].Gu[145,116] = -1
struct[0].Gu[146,118] = -1
struct[0].Gu[147,115] = -1
struct[0].Gu[148,117] = -1
struct[0].Gu[149,119] = -1
struct[0].Gu[150,6] = 1
struct[0].Gu[151,7] = 1
struct[0].Gu[152,120] = -1
struct[0].Gu[153,122] = -1
struct[0].Gu[154,124] = -1
struct[0].Gu[155,121] = -1
struct[0].Gu[156,123] = -1
struct[0].Gu[157,125] = -1
struct[0].Gu[158,8] = 1
struct[0].Gu[159,9] = 1
struct[0].Gu[160,126] = -1
struct[0].Gu[161,128] = -1
struct[0].Gu[162,130] = -1
struct[0].Gu[163,127] = -1
struct[0].Gu[164,129] = -1
struct[0].Gu[165,131] = -1
struct[0].Gu[166,10] = 1
struct[0].Gu[167,11] = 1
struct[0].Gu[168,132] = -1
struct[0].Gu[169,134] = -1
struct[0].Gu[170,136] = -1
struct[0].Gu[171,133] = -1
struct[0].Gu[172,135] = -1
struct[0].Gu[173,137] = -1
struct[0].Gu[174,12] = 1
struct[0].Gu[175,13] = 1
struct[0].Gu[176,138] = -1
struct[0].Gu[177,140] = -1
struct[0].Gu[178,142] = -1
struct[0].Gu[179,139] = -1
struct[0].Gu[180,141] = -1
struct[0].Gu[181,143] = -1
struct[0].Gu[182,14] = 1
struct[0].Gu[183,15] = 1
struct[0].Gu[184,144] = -1
struct[0].Gu[185,146] = -1
struct[0].Gu[186,148] = -1
struct[0].Gu[187,145] = -1
struct[0].Gu[188,147] = -1
struct[0].Gu[189,149] = -1
struct[0].Gu[190,16] = 1
struct[0].Gu[191,17] = 1
@numba.njit(cache=True)
def Piecewise(arg):
out = arg[0][1]
N = len(arg)
for it in range(N-1,-1,-1):
if arg[it][1]: out = arg[it][0]
return out
@numba.njit(cache=True)
def ITE(arg):
out = arg[0][1]
N = len(arg)
for it in range(N-1,-1,-1):
if arg[it][1]: out = arg[it][0]
return out
@numba.njit(cache=True)
def Abs(x):
return np.abs(x)
@numba.njit(cache=True)
def daesolver(struct):
sin = np.sin
cos = np.cos
sqrt = np.sqrt
i = 0
Dt = struct[i].Dt
N_x = struct[i].N_x
N_y = struct[i].N_y
N_z = struct[i].N_z
decimation = struct[i].decimation
eye = np.eye(N_x)
t = struct[i].t
t_end = struct[i].t_end
if struct[i].it == 0:
run(t,struct, 1)
struct[i].it_store = 0
struct[i]['T'][0] = t
struct[i].X[0,:] = struct[i].x[:,0]
struct[i].Y[0,:] = struct[i].y_run[:,0]
struct[i].Z[0,:] = struct[i].h[:,0]
solver = struct[i].solvern
while t<t_end:
struct[i].it += 1
struct[i].t += Dt
t = struct[i].t
if solver == 5: # Teapezoidal DAE as in Milano's book
run(t,struct, 2)
run(t,struct, 3)
x = np.copy(struct[i].x[:])
y = np.copy(struct[i].y_run[:])
f = np.copy(struct[i].f[:])
g = np.copy(struct[i].g[:])
for iter in range(struct[i].imax):
run(t,struct, 2)
run(t,struct, 3)
run(t,struct,10)
run(t,struct,11)
x_i = struct[i].x[:]
y_i = struct[i].y_run[:]
f_i = struct[i].f[:]
g_i = struct[i].g[:]
F_x_i = struct[i].Fx[:,:]
F_y_i = struct[i].Fy[:,:]
G_x_i = struct[i].Gx[:,:]
G_y_i = struct[i].Gy[:,:]
A_c_i = np.vstack((np.hstack((eye-0.5*Dt*F_x_i, -0.5*Dt*F_y_i)),
np.hstack((G_x_i, G_y_i))))
f_n_i = x_i - x - 0.5*Dt*(f_i+f)
# print(t,iter,g_i)
Dxy_i = np.linalg.solve(-A_c_i,np.vstack((f_n_i,g_i)))
x_i = x_i + Dxy_i[0:N_x]
y_i = y_i + Dxy_i[N_x:(N_x+N_y)]
struct[i].x[:] = x_i
struct[i].y_run[:] = y_i
# [f_i,g_i,F_x_i,F_y_i,G_x_i,G_y_i] = smib_transient(x_i,y_i,u);
# A_c_i = [[eye(N_x)-0.5*Dt*F_x_i, -0.5*Dt*F_y_i],
# [ G_x_i, G_y_i]];
# f_n_i = x_i - x - 0.5*Dt*(f_i+f);
# Dxy_i = -A_c_i\[f_n_i.',g_i.'].';
# x_i = x_i + Dxy_i(1:N_x);
# y_i = y_i + Dxy_i(N_x+1:N_x+N_y);
xy = np.vstack((x_i,y_i))
max_relative = 0.0
for it_var in range(N_x+N_y):
abs_value = np.abs(xy[it_var,0])
if abs_value < 0.001:
abs_value = 0.001
relative_error = np.abs(Dxy_i[it_var,0])/abs_value
if relative_error > max_relative: max_relative = relative_error
if max_relative<struct[i].itol:
break
# if iter>struct[i].imax-2:
# print('Convergence problem')
struct[i].x[:] = x_i
struct[i].y_run[:] = y_i
# channels
if struct[i].store == 1:
it_store = struct[i].it_store
if struct[i].it >= it_store*decimation:
struct[i]['T'][it_store+1] = t
struct[i].X[it_store+1,:] = struct[i].x[:,0]
struct[i].Y[it_store+1,:] = struct[i].y_run[:,0]
struct[i].Z[it_store+1,:] = struct[i].h[:,0]
struct[i].iters[it_store+1,0] = iter
struct[i].it_store += 1
struct[i].t = t
return t
| 71.532475 | 2,443 | 0.672678 | 161,876 | 828,203 | 3.104203 | 0.003966 | 0.149697 | 0.138234 | 0.092156 | 0.983837 | 0.977419 | 0.960708 | 0.561658 | 0.559045 | 0.557475 | 0 | 0.480437 | 0.17462 | 828,203 | 11,577 | 2,444 | 71.538654 | 0.254656 | 0.002763 | 0 | 0.301897 | 0 | 0 | 0.008279 | 0.000164 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00374 | false | 0.000178 | 0.000356 | 0.000178 | 0.006323 | 0.000534 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 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 | 6 |
11e398edb26a5ba69223af5fc58d6e42b5338387 | 98 | py | Python | external/AR/ltr/models/backbone/__init__.py | tzhhhh123/Stark | eaf7df3baf27ac064938f831211ae64659bc6808 | [
"MIT"
] | 376 | 2021-03-27T12:29:17.000Z | 2022-03-29T01:22:15.000Z | external/AR/ltr/models/backbone/__init__.py | wp8733684/Stark | ba59f9596b06bc687d726f991e1e7fce8af6b5a5 | [
"MIT"
] | 75 | 2021-03-31T12:44:45.000Z | 2022-03-28T09:02:57.000Z | external/AR/ltr/models/backbone/__init__.py | wp8733684/Stark | ba59f9596b06bc687d726f991e1e7fce8af6b5a5 | [
"MIT"
] | 82 | 2021-03-26T10:07:57.000Z | 2022-03-29T11:08:27.000Z | from .resnet import resnet18, resnet50, resnet_baby
from .resnet18_vggm import resnet18_vggmconv1
| 32.666667 | 51 | 0.857143 | 13 | 98 | 6.230769 | 0.615385 | 0.345679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102273 | 0.102041 | 98 | 2 | 52 | 49 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
e10259afa1a4148d6948f0d4b9b7ff6f1a952afb | 29 | py | Python | src/py_trees_ros_publisher/py_trees_ros_publisher/__init__.py | hodgespodge/BTWatcher | 931b92d5ec2e7afffb211a1fd0a0474cd49875b9 | [
"MIT"
] | null | null | null | src/py_trees_ros_publisher/py_trees_ros_publisher/__init__.py | hodgespodge/BTWatcher | 931b92d5ec2e7afffb211a1fd0a0474cd49875b9 | [
"MIT"
] | null | null | null | src/py_trees_ros_publisher/py_trees_ros_publisher/__init__.py | hodgespodge/BTWatcher | 931b92d5ec2e7afffb211a1fd0a0474cd49875b9 | [
"MIT"
] | null | null | null | from . import topic_publisher | 29 | 29 | 0.862069 | 4 | 29 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103448 | 29 | 1 | 29 | 29 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
e11919c902d4bb1da95a10e79279a8ba01f5b24c | 61 | py | Python | compliance_clock/models/__init__.py | rangera/driverClock | a073b893f7680ee59ae4731eaa8532752a4332d6 | [
"MIT"
] | null | null | null | compliance_clock/models/__init__.py | rangera/driverClock | a073b893f7680ee59ae4731eaa8532752a4332d6 | [
"MIT"
] | null | null | null | compliance_clock/models/__init__.py | rangera/driverClock | a073b893f7680ee59ae4731eaa8532752a4332d6 | [
"MIT"
] | null | null | null | from .event_model import Event
from .clock_model import Clock | 30.5 | 30 | 0.852459 | 10 | 61 | 5 | 0.5 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114754 | 61 | 2 | 31 | 30.5 | 0.925926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0116fd044eed8c695f201753c41b60997519652a | 157 | py | Python | corehq/apps/receiverwrapper/exceptions.py | dslowikowski/commcare-hq | ad8885cf8dab69dc85cb64f37aeaf06106124797 | [
"BSD-3-Clause"
] | 1 | 2017-02-10T03:14:51.000Z | 2017-02-10T03:14:51.000Z | corehq/apps/receiverwrapper/exceptions.py | dslowikowski/commcare-hq | ad8885cf8dab69dc85cb64f37aeaf06106124797 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/receiverwrapper/exceptions.py | dslowikowski/commcare-hq | ad8885cf8dab69dc85cb64f37aeaf06106124797 | [
"BSD-3-Clause"
] | null | null | null | class LocalSubmissionError(Exception):
pass
class RepeaterException(Exception):
pass
class DuplicateFormatException(RepeaterException):
pass
| 14.272727 | 50 | 0.783439 | 12 | 157 | 10.25 | 0.5 | 0.211382 | 0.292683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.159236 | 157 | 10 | 51 | 15.7 | 0.931818 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
011e58d40bbc36db49a05925cfdf6bb0a34391b3 | 418 | py | Python | tests/test_lambda_project.py | dazza-codes/aws-lambda-layer-packing | c13ada51df00ea0f3203f4d0d6610de7f4bef13a | [
"Apache-2.0"
] | null | null | null | tests/test_lambda_project.py | dazza-codes/aws-lambda-layer-packing | c13ada51df00ea0f3203f4d0d6610de7f4bef13a | [
"Apache-2.0"
] | 4 | 2020-11-27T18:05:19.000Z | 2020-11-30T17:36:49.000Z | tests/test_lambda_project.py | dazza-codes/aws-lambda-layer-packing | c13ada51df00ea0f3203f4d0d6610de7f4bef13a | [
"Apache-2.0"
] | null | null | null | """
Test the lambda_project package
"""
from types import ModuleType
import lambda_project
from lambda_project.check_imports import check_libs
def test_lambda_project():
assert isinstance(lambda_project, ModuleType)
def test_lambda_project_version():
assert isinstance(lambda_project.version, ModuleType)
assert isinstance(lambda_project.VERSION, str)
def test_check_libs():
assert check_libs()
| 19.904762 | 57 | 0.796651 | 53 | 418 | 5.981132 | 0.320755 | 0.328076 | 0.208202 | 0.274448 | 0.227129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133971 | 418 | 20 | 58 | 20.9 | 0.875691 | 0.074163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.3 | true | 0 | 0.3 | 0 | 0.6 | 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 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
0144872934304a456edbf536614e81f5aa215b5d | 226 | py | Python | posthog/models/filters/session_recordings_filter.py | csmatar/posthog | 4587cfe18625f302726c531f06a32c18e9749e9d | [
"MIT"
] | 7,409 | 2020-02-09T23:18:10.000Z | 2022-03-31T22:36:25.000Z | posthog/models/filters/session_recordings_filter.py | csmatar/posthog | 4587cfe18625f302726c531f06a32c18e9749e9d | [
"MIT"
] | 5,709 | 2020-02-09T23:26:13.000Z | 2022-03-31T20:20:01.000Z | posthog/models/filters/session_recordings_filter.py | csmatar/posthog | 4587cfe18625f302726c531f06a32c18e9749e9d | [
"MIT"
] | 647 | 2020-02-13T17:50:55.000Z | 2022-03-31T11:24:19.000Z | from posthog.models import Filter
from posthog.models.filters.mixins.session_recordings import PersonUUIDMixin, SessionRecordingsMixin
class SessionRecordingsFilter(SessionRecordingsMixin, PersonUUIDMixin, Filter):
pass
| 32.285714 | 100 | 0.862832 | 21 | 226 | 9.238095 | 0.666667 | 0.113402 | 0.175258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088496 | 226 | 6 | 101 | 37.666667 | 0.941748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.25 | 0.5 | 0 | 0.75 | 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 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
017f1a7ea987c4978a9f06388428b4a19f3f78a5 | 1,572 | py | Python | neural network/training sets/keras-binary-classification.py | dlminvestments/dlm-metallb | 4bdc800e3b9a1717b94146aa90fe3d5921d28cd8 | [
"Apache-2.0"
] | null | null | null | neural network/training sets/keras-binary-classification.py | dlminvestments/dlm-metallb | 4bdc800e3b9a1717b94146aa90fe3d5921d28cd8 | [
"Apache-2.0"
] | 306 | 2021-04-29T14:59:04.000Z | 2022-03-30T19:27:37.000Z | neural network/training sets/keras-binary-classification.py | dlminvestments/dlm-metallb | 4bdc800e3b9a1717b94146aa90fe3d5921d28cd8 | [
"Apache-2.0"
] | null | null | null | properties = list(df.columns.values)
properties.remove('Activity')
print(properties)
X = df[properties]
y = df['Activity']
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)
model = keras.Sequential([
keras.layers.Flatten(input_shape=(4,)),
keras.layers.Dense(16, activation=tf.nn.relu),
keras.layers.Dense(16, activation=tf.nn.relu),
keras.layers.Dense(1, activation=tf.nn.sigmoid),
])
model.compile(optimizer='adam',
loss='binary_crossentropy',
metrics=['accuracy'])
model.fit(X_train, y_train, epochs=50, batch_size=1)
test_loss, test_acc = model.evaluate(X_test, y_test)
import pandas as pd
import tensorflow as tf
from tensorflow import keras
from sklearn.model_selection import train_test_split
import numpy as np
df = pd.read_csv('molecular_activity.csv')
properties = list(df.columns.values)
properties.remove('Activity')
X = df[properties]
y = df['Activity']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)
model = keras.Sequential([
keras.layers.Flatten(input_shape=(4,)),
keras.layers.Dense(16, activation=tf.nn.relu),
keras.layers.Dense(16, activation=tf.nn.relu),
keras.layers.Dense(1, activation=tf.nn.sigmoid),
])
model.compile(optimizer='adam',
loss='binary_crossentropy',
metrics=['accuracy'])
model.fit(X_train, y_train, epochs=50, batch_size=1)
test_loss, test_acc = model.evaluate(X_test, y_test)
print('Test accuracy:', test_acc)
| 32.081633 | 88 | 0.729644 | 240 | 1,572 | 4.6 | 0.254167 | 0.07971 | 0.086957 | 0.065217 | 0.867754 | 0.867754 | 0.824275 | 0.824275 | 0.646739 | 0.646739 | 0 | 0.017544 | 0.129771 | 1,572 | 48 | 89 | 32.75 | 0.789474 | 0 | 0 | 0.829268 | 0 | 0 | 0.082697 | 0.013995 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.146341 | 0 | 0.146341 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
019031018528824e571b5b4b36966cb00acb5523 | 10,265 | py | Python | data/reanalysis_data/download-scripts/download_vwind_sigma995.py | Skye777/transformer | 177834bcb55e59f8ea0fbe666734c148effbec8d | [
"Apache-2.0"
] | null | null | null | data/reanalysis_data/download-scripts/download_vwind_sigma995.py | Skye777/transformer | 177834bcb55e59f8ea0fbe666734c148effbec8d | [
"Apache-2.0"
] | null | null | null | data/reanalysis_data/download-scripts/download_vwind_sigma995.py | Skye777/transformer | 177834bcb55e59f8ea0fbe666734c148effbec8d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#################################################################
# Python Script to retrieve 164 online Data files of 'ds131.2',
# total 4.48G. This script uses 'requests' to download data.
#
# Highlight this script by Select All, Copy and Paste it into a file;
# make the file executable and run it on command line.
#
# You need pass in your password as a parameter to execute
# this script; or you can set an environment variable RDAPSWD
# if your Operating System supports it.
#
# Contact rpconroy@ucar.edu (Riley Conroy) for further assistance.
#################################################################
import sys, os
import requests
def check_file_status(filepath, filesize):
sys.stdout.write('\r')
sys.stdout.flush()
size = int(os.stat(filepath).st_size)
percent_complete = (size / filesize) * 100
sys.stdout.write('%.3f %s' % (percent_complete, '% Completed'))
sys.stdout.flush()
# Try to get password
if len(sys.argv) < 2 and not 'RDAPSWD' in os.environ:
try:
import getpass
input = getpass.getpass
except:
try:
input = raw_input
except:
pass
pswd = input('Password: ')
else:
try:
pswd = sys.argv[1]
except:
pswd = os.environ['RDAPSWD']
url = 'https://rda.ucar.edu/cgi-bin/login'
values = {'email': '1811017@tongji.edu.cn', 'passwd': pswd, 'action': 'login'}
# Authenticate
ret = requests.post(url, data=values)
if ret.status_code != 200:
print('Bad Authentication')
print(ret.text)
exit(1)
dspath = 'https://rda.ucar.edu/data/ds131.2/'
filelist = [
'pgrbanl/pgrbanl_mean_1851_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1852_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1853_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1854_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1855_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1856_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1857_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1858_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1859_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1860_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1861_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1862_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1863_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1864_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1865_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1866_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1867_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1868_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1869_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1870_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1871_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1872_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1873_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1874_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1875_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1876_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1877_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1878_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1879_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1880_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1881_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1882_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1883_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1884_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1885_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1886_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1887_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1888_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1889_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1890_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1891_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1892_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1893_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1894_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1895_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1896_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1897_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1898_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1899_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1900_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1901_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1902_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1903_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1904_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1905_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1906_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1907_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1908_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1909_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1910_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1911_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1912_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1913_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1914_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1915_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1916_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1917_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1918_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1919_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1920_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1921_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1922_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1923_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1924_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1925_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1926_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1927_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1928_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1929_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1930_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1931_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1932_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1933_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1934_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1935_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1936_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1937_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1938_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1939_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1940_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1941_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1942_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1943_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1944_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1945_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1946_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1947_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1948_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1949_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1950_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1951_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1952_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1953_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1954_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1955_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1956_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1957_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1958_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1959_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1960_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1961_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1962_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1963_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1964_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1965_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1966_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1967_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1968_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1969_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1970_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1971_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1972_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1973_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1974_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1975_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1976_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1977_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1978_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1979_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1980_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1981_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1982_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1983_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1984_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1985_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1986_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1987_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1988_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1989_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1990_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1991_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1992_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1993_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1994_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1995_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1996_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1997_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1998_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_1999_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2000_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2001_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2002_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2003_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2004_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2005_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2006_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2007_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2008_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2009_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2010_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2011_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2012_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2013_VGRD_sigma.grib',
'pgrbanl/pgrbanl_mean_2014_VGRD_sigma.grib']
for file in filelist:
filename = dspath + file
file_base = '../meta-data/vwind/' + os.path.basename(file)
print('Downloading', file_base)
req = requests.get(filename, cookies=ret.cookies, allow_redirects=True, stream=True)
filesize = int(req.headers['Content-length'])
with open(file_base, 'wb') as outfile:
chunk_size = 1048576
for chunk in req.iter_content(chunk_size=chunk_size):
outfile.write(chunk)
if chunk_size < filesize:
check_file_status(file_base, filesize)
check_file_status(file_base, filesize)
print()
| 43.495763 | 88 | 0.758305 | 1,440 | 10,265 | 4.934722 | 0.221528 | 0.323107 | 0.415424 | 0.458767 | 0.72094 | 0.72094 | 0.009851 | 0 | 0 | 0 | 0 | 0.07724 | 0.124696 | 10,265 | 235 | 89 | 43.680851 | 0.713634 | 0.05017 | 0 | 0.047393 | 0 | 0 | 0.722777 | 0.702165 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004739 | false | 0.023697 | 0.014218 | 0 | 0.018957 | 0.018957 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
6d7eb098fd703a7c22f0e5c8ac6a03360d618152 | 115 | py | Python | game/game.py | Riciardos/wheatley-o-tron | 68dea4d36c5f6b3ca1fb1bc79be3ffe1630cecde | [
"MIT"
] | null | null | null | game/game.py | Riciardos/wheatley-o-tron | 68dea4d36c5f6b3ca1fb1bc79be3ffe1630cecde | [
"MIT"
] | null | null | null | game/game.py | Riciardos/wheatley-o-tron | 68dea4d36c5f6b3ca1fb1bc79be3ffe1630cecde | [
"MIT"
] | null | null | null |
class Game:
def __init__(self, game_id, game_state):
self._game_id = game_id
self._game_state = game_state
| 14.375 | 41 | 0.73913 | 19 | 115 | 3.842105 | 0.368421 | 0.328767 | 0.273973 | 0.383562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 115 | 7 | 42 | 16.428571 | 0.768421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
6d8e9a76c7cd98baf49475636364a12ee09054ae | 29 | py | Python | repository/user.py | M-U-I-N-D-O/muindo-server | bbb3acfad164c51c4ab0910037cb6f45dcb7a0a5 | [
"MIT"
] | null | null | null | repository/user.py | M-U-I-N-D-O/muindo-server | bbb3acfad164c51c4ab0910037cb6f45dcb7a0a5 | [
"MIT"
] | 7 | 2021-06-17T12:08:52.000Z | 2021-06-28T15:07:31.000Z | repository/user.py | M-U-I-N-D-O/muindo-server | bbb3acfad164c51c4ab0910037cb6f45dcb7a0a5 | [
"MIT"
] | 1 | 2021-06-18T04:42:11.000Z | 2021-06-18T04:42:11.000Z | from model.models import User | 29 | 29 | 0.862069 | 5 | 29 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103448 | 29 | 1 | 29 | 29 | 0.961538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6dd2b6df3b58412d9cd4f272e48f93dcf71344f9 | 9,017 | py | Python | amd64-linux/lib/python/mod_440gp_devices_commands.py | qiyancos/Simics-3.0.31 | 9bd52d5abad023ee87a37306382a338abf7885f1 | [
"BSD-4-Clause",
"FSFAP"
] | 1 | 2020-06-15T10:41:18.000Z | 2020-06-15T10:41:18.000Z | amd64-linux/lib/python/mod_440gp_devices_commands.py | qiyancos/Simics-3.0.31 | 9bd52d5abad023ee87a37306382a338abf7885f1 | [
"BSD-4-Clause",
"FSFAP"
] | null | null | null | amd64-linux/lib/python/mod_440gp_devices_commands.py | qiyancos/Simics-3.0.31 | 9bd52d5abad023ee87a37306382a338abf7885f1 | [
"BSD-4-Clause",
"FSFAP"
] | 3 | 2020-08-10T10:25:02.000Z | 2021-09-12T01:12:09.000Z | from cli import *
from string import *
import nic_common
import sim_commands
nic_common.new_nic_commands("ppc440gp-emac")
#
# ------------------------ info -----------------------
#
sim_commands.new_info_command("ppc440gp-emac", nic_common.get_nic_info)
#
# ------------------------ status -----------------------
#
def get_emac_status(obj):
status = []
for x in obj.attributes:
name = x[0]
if name[0:6] == "EMACx_":
value = SIM_get_attribute(obj, name)
name = name[0:5] + "_" + name[6:]
description = x[2]
status.append((name, "0x%08x" % value))
return nic_common.get_nic_status(obj) + [("Registers", status)]
sim_commands.new_status_command("ppc440gp-emac", get_emac_status)
def dma_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:5] == "DMA0-":
value = SIM_get_attribute(obj, name)
name = name[0:4] + "_" + name[5:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", dma_status_cmd,
[],
alias = "",
type = "ppc440gp-dma commands",
short = "print dynamic information about device",
namespace = "ppc440gp-dma",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="45")
def pci_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:6] == "PCIX0-":
value = SIM_get_attribute(obj, name)
name = name[0:5] + "_" + name[6:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", pci_status_cmd,
[],
alias = "",
type = "ppc440gp-pci commands",
short = "print dynamic information about device",
namespace = "ppc440gp-pci",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="67")
def ebc_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:5] == "EBC0-":
value = SIM_get_attribute(obj, name)
name = name[0:4] + "_" + name[5:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", ebc_status_cmd,
[],
alias = "",
type = "ppc440gp-ebc commands",
short = "print dynamic information about device",
namespace = "ppc440gp-ebc",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="89")
def gpio_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:6] == "GPIO0-":
value = SIM_get_attribute(obj, name)
name = name[0:5] + "_" + name[6:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", gpio_status_cmd,
[],
alias = "",
type = "ppc440gp-gpio commands",
short = "print dynamic information about device",
namespace = "ppc440gp-gpio",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="111")
def cpc_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:5] == "CPC0-":
value = SIM_get_attribute(obj, name)
name = name[0:4] + "_" + name[5:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", cpc_status_cmd,
[],
alias = "",
type = "ppc440gp-cpc commands",
short = "print dynamic information about device",
namespace = "ppc440gp-cpc",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="133")
def mal_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:5] == "MAL0-":
value = SIM_get_attribute(obj, name)
name = name[0:4] + "_" + name[5:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", mal_status_cmd,
[],
alias = "",
type = "ppc440gp-mal commands",
short = "print dynamic information about device",
namespace = "ppc440gp-mal",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="155")
def uic_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:5] == "UICx-":
value = SIM_get_attribute(obj, name)
name = name[0:4] + "_" + name[5:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", uic_status_cmd,
[],
alias = "",
type = "ppc440gp-uic commands",
short = "print dynamic information about device",
namespace = "ppc440gp-uic",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="177")
def zmii_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:6] == "ZMII0-":
value = SIM_get_attribute(obj, name)
name = name[0:5] + "_" + name[6:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", zmii_status_cmd,
[],
alias = "",
type = "ppc440gp-zmii commands",
short = "print dynamic information about device",
namespace = "ppc440gp-zmii",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="199")
def iic_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:5] == "IICx-":
value = SIM_get_attribute(obj, name)
name = name[0:4] + "_" + name[5:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", iic_status_cmd,
[],
alias = "",
type = "ppc440gp-iic commands",
short = "print dynamic information about device",
namespace = "ppc440gp-iic",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="221")
def mc_status_cmd(obj):
print
registers = [["Register", "Value", "Description"]]
for x in obj.attributes:
name = x[0]
if name[0:7] == "SDRAM0-":
value = SIM_get_attribute(obj, name)
name = name[0:6] + "_" + name[7:]
description = x[2]
registers += [[name, "0x%08x" % value, description]]
print_columns([Just_Left, Just_Left, Just_Left], registers)
new_command("status", mc_status_cmd,
[],
alias = "",
type = "ppc440gp-mc commands",
short = "print dynamic information about device",
namespace = "ppc440gp-mc",
doc = """
Print detailed dynamic information about the simulated device.<br/>
""", filename="/mp/simics-3.0/src/devices/440gp-devices/commands.py", linenumber="243")
| 35.781746 | 87 | 0.576023 | 1,052 | 9,017 | 4.79943 | 0.091255 | 0.047534 | 0.047534 | 0.063379 | 0.891464 | 0.839968 | 0.839968 | 0.839968 | 0.839968 | 0.70608 | 0 | 0.03997 | 0.267495 | 9,017 | 251 | 88 | 35.924303 | 0.724451 | 0.012088 | 0 | 0.663594 | 0 | 0 | 0.273565 | 0.05842 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050691 | false | 0 | 0.018433 | 0 | 0.073733 | 0.138249 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
6de45347b77a27b12c81dc21c5d468c01f9e76da | 63 | py | Python | moco/utils/__init__.py | Lee-Gihun/MixCo-Mixup-Contrast | 1d8eacce057d385f187ee07b0365c9e4e1670981 | [
"MIT"
] | 40 | 2020-11-15T08:19:06.000Z | 2022-01-20T13:19:54.000Z | moco/utils/__init__.py | sungnyun/Mixco-Mixup-Contrast | 1d8eacce057d385f187ee07b0365c9e4e1670981 | [
"MIT"
] | 3 | 2021-04-14T02:41:11.000Z | 2022-01-11T04:51:22.000Z | moco/utils/__init__.py | sungnyun/Mixco-Mixup-Contrast | 1d8eacce057d385f187ee07b0365c9e4e1670981 | [
"MIT"
] | 7 | 2020-11-15T08:17:31.000Z | 2022-03-22T09:57:28.000Z | from .utils import *
from .loss_fn import *
from .args import * | 21 | 22 | 0.730159 | 10 | 63 | 4.5 | 0.6 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.174603 | 63 | 3 | 23 | 21 | 0.865385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
09bf8ffcbd3fe5b603b88049675ef4ec838c4183 | 183 | py | Python | bhabana/models/bottle_softmax.py | dashayushman/bhabana | 7438505e20be53a4c524324abf9cf8985d0fc684 | [
"Apache-2.0"
] | null | null | null | bhabana/models/bottle_softmax.py | dashayushman/bhabana | 7438505e20be53a4c524324abf9cf8985d0fc684 | [
"Apache-2.0"
] | null | null | null | bhabana/models/bottle_softmax.py | dashayushman/bhabana | 7438505e20be53a4c524324abf9cf8985d0fc684 | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
from bhabana.models import Bottle
class BottleSoftmax(Bottle, nn.Softmax):
''' Perform the reshape routine before and after a softmax operation'''
pass | 26.142857 | 75 | 0.754098 | 26 | 183 | 5.307692 | 0.807692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.174863 | 183 | 7 | 76 | 26.142857 | 0.913907 | 0.349727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.25 | 0.5 | 0 | 0.75 | 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 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
09c1d9c2e71e6d06c37285d31abe7649fc9901f5 | 8,530 | py | Python | strenum/__init__.py | erperreault/StrEnum | 6efe32db49e352a97c51f9c28eec574439a181a0 | [
"MIT"
] | 28 | 2019-10-22T09:01:45.000Z | 2022-03-28T18:22:57.000Z | strenum/__init__.py | erperreault/StrEnum | 6efe32db49e352a97c51f9c28eec574439a181a0 | [
"MIT"
] | 7 | 2020-05-20T06:11:14.000Z | 2021-10-13T06:37:54.000Z | strenum/__init__.py | erperreault/StrEnum | 6efe32db49e352a97c51f9c28eec574439a181a0 | [
"MIT"
] | 5 | 2019-06-25T17:56:33.000Z | 2022-03-18T01:14:31.000Z | import enum
from ._version import get_versions
from ._name_mangler import _NameMangler
__version__ = get_versions()["version"]
__version_info__ = tuple(int(n) for n in __version__.partition("+")[0].split("."))
del get_versions
_name_mangler = _NameMangler()
# The first argument to the `_generate_next_value_` function of the `enum.Enum`
# class is documented to be the name of the enum member, not the enum class:
#
# https://docs.python.org/3.6/library/enum.html#using-automatic-values
#
# Pylint, though, doesn't know about this so we need to disable it's check for
# `self` arguments.
# pylint: disable=no-self-argument
class StrEnum(str, enum.Enum):
"""
StrEnum is a Python ``enum.Enum`` that inherits from ``str``. The default
``auto()`` behavior uses the member name as its value.
Example usage::
class Example(StrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "UPPER_CASE"
assert Example.lower_case == "lower_case"
assert Example.MixedCase == "MixedCase"
"""
def __new__(cls, value, *args, **kwargs):
if not isinstance(value, (str, enum.auto)):
raise TypeError(
f"Values of StrEnums must be strings: {value!r} is a {type(value)}"
)
return super().__new__(cls, value, *args, **kwargs)
def __str__(self):
return str(self.value)
def _generate_next_value_(name, *_):
return name
class LowercaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `lowercase` to
produce each member's value.
Example usage::
class Example(LowercaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "upper_case"
assert Example.lower_case == "lower_case"
assert Example.MixedCase == "mixedcase"
.. versionadded:: 0.4.3
"""
def _generate_next_value_(name, *_):
return name.lower()
class UppercaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `UPPERCASE` to
produce each member's value.
Example usage::
class Example(UppercaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "UPPER_CASE"
assert Example.lower_case == "LOWER_CASE"
assert Example.MixedCase == "MIXEDCASE"
.. versionadded:: 0.4.3
"""
def _generate_next_value_(name, *_):
return name.upper()
class CamelCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `camelCase` to
produce each member's value.
Example usage::
class Example(CamelCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "upperCase"
assert Example.lower_case == "lowerCase"
assert Example.MixedCase == "mixedCase"
.. versionadded:: 0.4.5
"""
def _generate_next_value_(name, *_):
return _name_mangler.camel(name)
class PascalCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `PascalCase` to
produce each member's value.
Example usage::
class Example(PascalCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "UpperCase"
assert Example.lower_case == "LowerCase"
assert Example.MixedCase == "MixedCase"
.. versionadded:: 0.4.5
"""
def _generate_next_value_(name, *_):
return _name_mangler.pascal(name)
class KebabCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `kebab-case` to
produce each member's value.
Example usage::
class Example(KebabCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "upper-case"
assert Example.lower_case == "lower-case"
assert Example.MixedCase == "mixed-case"
.. versionadded:: 0.4.5
"""
def _generate_next_value_(name, *_):
return _name_mangler.kebab(name)
class SnakeCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `snake_case` to
produce each member's value.
Example usage::
class Example(SnakeCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "upper_case"
assert Example.lower_case == "lower_case"
assert Example.MixedCase == "mixed_case"
.. versionadded:: 0.4.5
"""
def _generate_next_value_(name, *_):
return _name_mangler.snake(name)
class MacroCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `MACRO_CASE` to
produce each member's value.
Example usage::
class Example(MacroCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "UPPER_CASE"
assert Example.lower_case == "LOWER_CASE"
assert Example.MixedCase == "MIXED_CASE"
.. versionadded:: 0.4.6
"""
def _generate_next_value_(name, *_):
return _name_mangler.macro(name)
class CamelSnakeCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `camel_Snake_Case` to
produce each member's value.
Example usage::
class Example(CamelSnakeCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "upper_Case"
assert Example.lower_case == "lower_Case"
assert Example.MixedCase == "mixed_Case"
.. versionadded:: 0.4.8
"""
def _generate_next_value_(name, *_):
return _name_mangler.camel_snake(name)
class PascalSnakeCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `Pascal_Snake_Case` to
produce each member's value.
Example usage::
class Example(PascalSnakeCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "Upper_Case"
assert Example.lower_case == "Lower_Case"
assert Example.MixedCase == "Mixed_Case"
.. versionadded:: 0.4.8
"""
def _generate_next_value_(name, *_):
return _name_mangler.pascal_snake(name)
class SpongebobCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `SpONGEBob_CAse` to
produce each member's value.
Example usage::
class Example(SpongebobCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "uPpER_cAsE"
assert Example.lower_case == "lowER_CASe"
assert Example.MixedCase == "MixeD_CAse"
.. versionadded:: 0.4.8
"""
def _generate_next_value_(name, *_):
return _name_mangler.spongebob(name)
class CobolCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `COBOL-CASE` to
produce each member's value.
Example usage::
class Example(CobolCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "UPPER-CASE"
assert Example.lower_case == "LOWER-CASE"
assert Example.MixedCase == "MIXED-CASE"
.. versionadded:: 0.4.8
"""
def _generate_next_value_(name, *_):
return _name_mangler.cobol(name)
class HttpHeaderCaseStrEnum(StrEnum):
"""
A ``StrEnum`` where ``auto()`` will convert the name to `HTTP-Header-Case` to
produce each member's value.
Example usage::
class Example(HttpHeaderCaseStrEnum):
UPPER_CASE = auto()
lower_case = auto()
MixedCase = auto()
assert Example.UPPER_CASE == "UPPER_CASE"
assert Example.lower_case == "LOWER_CASE"
assert Example.MixedCase == "MIXED_CASE"
.. versionadded:: 0.4.8
"""
def _generate_next_value_(name, *_):
return _name_mangler.http_header(name)
| 26.165644 | 83 | 0.614654 | 959 | 8,530 | 5.248175 | 0.137643 | 0.100735 | 0.07431 | 0.056825 | 0.727797 | 0.71369 | 0.71369 | 0.706934 | 0.698788 | 0.694417 | 0 | 0.006267 | 0.270457 | 8,530 | 325 | 84 | 26.246154 | 0.802507 | 0.657093 | 0 | 0.240741 | 0 | 0 | 0.033107 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.277778 | false | 0 | 0.055556 | 0.259259 | 0.851852 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 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 | 0 | 0 | 0 | 6 |
09d99a1809fc7ebef52fee391172d0f07471509e | 1,056 | py | Python | tests/common/test_wrappers.py | jungtaekkim/bayeso | d11c9ff8037cf7fd3f9b41362eaab120f1224c71 | [
"MIT"
] | 76 | 2018-01-18T03:03:14.000Z | 2022-02-07T06:41:41.000Z | tests/common/test_wrappers.py | POSTECH-CVLab/bayeso | d11c9ff8037cf7fd3f9b41362eaab120f1224c71 | [
"MIT"
] | 20 | 2018-06-29T16:48:03.000Z | 2021-04-19T00:30:57.000Z | tests/common/test_wrappers.py | POSTECH-CVLab/bayeso | d11c9ff8037cf7fd3f9b41362eaab120f1224c71 | [
"MIT"
] | 4 | 2020-01-07T06:24:17.000Z | 2021-06-11T06:21:42.000Z | #
# author: Jungtaek Kim (jtkim@postech.ac.kr)
# last updated: July 8, 2021
#
"""test_wrappers"""
def test_import_run_single_round_with_all_initial_information():
from bayeso.wrappers import run_single_round_with_all_initial_information
import bayeso.wrappers
print(run_single_round_with_all_initial_information)
print(bayeso.wrappers.run_single_round_with_all_initial_information)
def test_import_run_single_round_with_initial_inputs():
from bayeso.wrappers import run_single_round_with_initial_inputs
import bayeso.wrappers
print(run_single_round_with_initial_inputs)
print(bayeso.wrappers.run_single_round_with_initial_inputs)
def test_import_run_single_round():
from bayeso.wrappers import run_single_round
import bayeso.wrappers
print(run_single_round)
print(bayeso.wrappers.run_single_round)
def test_import_bayesian_optimization():
from bayeso.wrappers import BayesianOptimization
import bayeso.wrappers
print(BayesianOptimization)
print(bayeso.wrappers.BayesianOptimization)
| 30.171429 | 77 | 0.821023 | 139 | 1,056 | 5.791367 | 0.215827 | 0.134161 | 0.208696 | 0.178882 | 0.719255 | 0.719255 | 0.612422 | 0.293168 | 0 | 0 | 0 | 0.005382 | 0.120265 | 1,056 | 34 | 78 | 31.058824 | 0.861141 | 0.079545 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.6 | 0 | 0.8 | 0.4 | 0 | 0 | 0 | null | 0 | 1 | 1 | 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 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
1137c51a660f031d2978a587aa428c8f8e1019c7 | 2,482 | py | Python | FileWrangler/test_FileWrangler.py | ag-sd/py | 160a9db3e372eb840f88efc643b6348f6e65a652 | [
"Apache-2.0"
] | 1 | 2021-04-04T04:19:00.000Z | 2021-04-04T04:19:00.000Z | FileWrangler/test_FileWrangler.py | ag-sd/py | 160a9db3e372eb840f88efc643b6348f6e65a652 | [
"Apache-2.0"
] | 4 | 2021-09-08T03:08:38.000Z | 2022-03-12T00:56:13.000Z | FileWrangler/test_FileWrangler.py | ag-sd/py | 160a9db3e372eb840f88efc643b6348f6e65a652 | [
"Apache-2.0"
] | null | null | null | from FileWrangler.FileWranglerCore import ConfigKeys, _DEFAULT_REGEX, _create_key, _DEFAULT_SPLITTER, _UNKNOWN_KEY, \
KeyType
def test__create_key_simple_regex():
file = "123 - 345 - 123.jpg"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: _DEFAULT_REGEX,
ConfigKeys.key_token_count: 1,
ConfigKeys.key_type: KeyType.regular_expression
}
key = _create_key(file, config)
assert key == "123"
def test__create_key_repeating_regex():
file = "aaa - aaa - 123.jpg"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: "(aaa)",
ConfigKeys.key_token_count: 2,
ConfigKeys.key_type: KeyType.regular_expression
}
key = _create_key(file, config)
assert key == "aaa - aaa"
def test__create_key_unknown_regex():
file = "aaa - aaa - 123.jpg"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: "(ccc)",
ConfigKeys.key_token_count: 2,
ConfigKeys.key_type: KeyType.regular_expression
}
key = _create_key(file, config)
assert key == _UNKNOWN_KEY
def test__create_key_simple_splitter():
file = "123 - 345 - 123.jpg"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: _DEFAULT_SPLITTER,
ConfigKeys.key_token_count: 1,
ConfigKeys.key_type: KeyType.separator
}
key = _create_key(file, config)
assert key == "123"
def test__create_key_simple_splitter_unknown():
file = "123 - 345 - 123.jpg"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: "+",
ConfigKeys.key_token_count: 1,
ConfigKeys.key_type: KeyType.separator
}
key = _create_key(file, config)
assert key == file
def test__create_key_repeating_splitter():
file = "123 - 345 - 123.jpg"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: _DEFAULT_SPLITTER,
ConfigKeys.key_token_count: 2,
ConfigKeys.key_type: KeyType.separator
}
key = _create_key(file, config)
assert key == "123 - 345"
def test__create_replacement_key():
file = "foo1edfd"
config = {
ConfigKeys.append_date: False,
ConfigKeys.key_token_string: "Token",
ConfigKeys.key_token_count: 2,
ConfigKeys.key_type: KeyType.replacement
}
key = _create_key(file, config)
assert key == "Token"
| 28.528736 | 117 | 0.663981 | 292 | 2,482 | 5.267123 | 0.130137 | 0.177503 | 0.163849 | 0.118336 | 0.850455 | 0.814044 | 0.790637 | 0.770481 | 0.770481 | 0.687256 | 0 | 0.032856 | 0.239726 | 2,482 | 86 | 118 | 28.860465 | 0.782194 | 0 | 0 | 0.611111 | 0 | 0 | 0.067284 | 0 | 0 | 0 | 0 | 0 | 0.097222 | 1 | 0.097222 | false | 0 | 0.013889 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 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 | 6 |
fefb29542e3e436130e2367c2b69489c09cff608 | 46 | py | Python | experiment/research/measure/__init__.py | prijatelj/bayesian_eval_ground_truth-free | c0e569c78d63beb79f5e1e727c322293c3584323 | [
"MIT"
] | 1 | 2021-12-26T05:55:46.000Z | 2021-12-26T05:55:46.000Z | experiment/research/measure/__init__.py | prijatelj/bayesian_eval_ground_truth-free | c0e569c78d63beb79f5e1e727c322293c3584323 | [
"MIT"
] | null | null | null | experiment/research/measure/__init__.py | prijatelj/bayesian_eval_ground_truth-free | c0e569c78d63beb79f5e1e727c322293c3584323 | [
"MIT"
] | null | null | null | from experiment.research.measure import kldiv
| 23 | 45 | 0.869565 | 6 | 46 | 6.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 46 | 1 | 46 | 46 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
3a3ee1be29fea3bc0526483c9d7823d08f733a36 | 313 | py | Python | contract/models/__init__.py | pcs2216/modulos_atani | e3c1c5ce979113e043ed020a2d678665fb9412b0 | [
"Apache-2.0"
] | null | null | null | contract/models/__init__.py | pcs2216/modulos_atani | e3c1c5ce979113e043ed020a2d678665fb9412b0 | [
"Apache-2.0"
] | null | null | null | contract/models/__init__.py | pcs2216/modulos_atani | e3c1c5ce979113e043ed020a2d678665fb9412b0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
from . import account_analytic_contract
from . import account_analytic_account
from . import account_analytic_invoice_line
from . import account_analytic_contract_line
from . import account_invoice
from . import res_partner
| 31.3 | 63 | 0.795527 | 45 | 313 | 5.266667 | 0.511111 | 0.253165 | 0.35865 | 0.421941 | 0.278481 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01083 | 0.115016 | 313 | 9 | 64 | 34.777778 | 0.844765 | 0.265176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
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