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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6759ecb2a7dda96f49573735fc96e44d136207d6
| 468
|
py
|
Python
|
average.py
|
hydrogeohc/Programming_tipsandnotes
|
266e7bc6f605ef16e89831bd95b86c60ddbe3a81
|
[
"MIT"
] | null | null | null |
average.py
|
hydrogeohc/Programming_tipsandnotes
|
266e7bc6f605ef16e89831bd95b86c60ddbe3a81
|
[
"MIT"
] | null | null | null |
average.py
|
hydrogeohc/Programming_tipsandnotes
|
266e7bc6f605ef16e89831bd95b86c60ddbe3a81
|
[
"MIT"
] | null | null | null |
# :information_source: Already implemented via statistics.mean. statistics.mean takes an array as an argument whereas this function takes variadic arguments.
# Returns the average of two or more numbers.
#Takes the sum of all the args and divides it by len(args). The second argument 0.0 in sum is to handle floating point division in python3.
def average(*args):
return sum(args, 0.0) / len(args)
# average(*[1, 2, 3]) # 2.0
#average(1, 2, 3) # 2.0
| 42.545455
| 158
| 0.715812
| 79
| 468
| 4.227848
| 0.607595
| 0.083832
| 0.053892
| 0.05988
| 0.071856
| 0.071856
| 0
| 0
| 0
| 0
| 0
| 0.039683
| 0.192308
| 468
| 10
| 159
| 46.8
| 0.843915
| 0.820513
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
677ac43042c514acddbd9de6800bba8e98019dc3
| 138
|
py
|
Python
|
utils/functions.py
|
OuroborosD/03-PiggoV2
|
0fdabfeca3a29cf0cfb87f120506ad517ee75ce6
|
[
"MIT"
] | null | null | null |
utils/functions.py
|
OuroborosD/03-PiggoV2
|
0fdabfeca3a29cf0cfb87f120506ad517ee75ce6
|
[
"MIT"
] | null | null | null |
utils/functions.py
|
OuroborosD/03-PiggoV2
|
0fdabfeca3a29cf0cfb87f120506ad517ee75ce6
|
[
"MIT"
] | null | null | null |
import datetime
def today_date():
today = datetime.date.today()
return today
def logged_user(request):
return request.user
| 13.8
| 33
| 0.710145
| 18
| 138
| 5.333333
| 0.5
| 0.1875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202899
| 138
| 9
| 34
| 15.333333
| 0.872727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.166667
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
67ac503bf2edb54e3a6e0600fc299920c4304a36
| 23
|
py
|
Python
|
Python_CI_CD_Test/hi.py
|
fanoos/Python_CI_CD_Test
|
be2a93b5bb4c2585f4006befbe1f282b2a9e3f77
|
[
"MIT"
] | null | null | null |
Python_CI_CD_Test/hi.py
|
fanoos/Python_CI_CD_Test
|
be2a93b5bb4c2585f4006befbe1f282b2a9e3f77
|
[
"MIT"
] | 9
|
2019-08-29T13:14:00.000Z
|
2021-02-02T22:15:19.000Z
|
Python_CI_CD_Test/hi.py
|
fanoos/Python_CI_CD_Test
|
be2a93b5bb4c2585f4006befbe1f282b2a9e3f77
|
[
"MIT"
] | null | null | null |
print("Hi DevOps HoOo")
| 23
| 23
| 0.73913
| 4
| 23
| 4.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 23
| 1
| 23
| 23
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
67c05684ecb26013b5c7af43df5835ec012d7ff8
| 42
|
py
|
Python
|
scripts/plot_prevalence_survival.py
|
sarahbald/BIG_2021_microbiome_evolution
|
8adb48e9596a30f2db5b49a0f47f0ddc1188fcdf
|
[
"BSD-2-Clause"
] | null | null | null |
scripts/plot_prevalence_survival.py
|
sarahbald/BIG_2021_microbiome_evolution
|
8adb48e9596a30f2db5b49a0f47f0ddc1188fcdf
|
[
"BSD-2-Clause"
] | null | null | null |
scripts/plot_prevalence_survival.py
|
sarahbald/BIG_2021_microbiome_evolution
|
8adb48e9596a30f2db5b49a0f47f0ddc1188fcdf
|
[
"BSD-2-Clause"
] | 2
|
2021-06-18T06:55:57.000Z
|
2021-06-29T17:07:59.000Z
|
import calculate_prevalence_difference
| 8.4
| 38
| 0.880952
| 4
| 42
| 8.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119048
| 42
| 4
| 39
| 10.5
| 0.945946
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
67e8d404ca9d39807c53037a35634af08a18d572
| 98,645
|
py
|
Python
|
classes/items/fonts/font_dutch_blunt.py
|
michaelfranzl/pyglpainter
|
7990be97cc07c6d123d5fa3642eb19f7cb4bb6b4
|
[
"Unlicense"
] | 15
|
2015-12-22T15:22:41.000Z
|
2022-03-12T14:52:48.000Z
|
classes/items/fonts/font_dutch_blunt.py
|
michaelfranzl/pyglpainter
|
7990be97cc07c6d123d5fa3642eb19f7cb4bb6b4
|
[
"Unlicense"
] | null | null | null |
classes/items/fonts/font_dutch_blunt.py
|
michaelfranzl/pyglpainter
|
7990be97cc07c6d123d5fa3642eb19f7cb4bb6b4
|
[
"Unlicense"
] | 1
|
2020-03-05T16:17:47.000Z
|
2020-03-05T16:17:47.000Z
|
"""
This file contains triangle vertex coordinates of a font
called "Dutch-Blunt" (c) 2015 by Abraham Stolk, commit e1b0044a
The font 'Dutch-Blunt' is licensed under the SIL OPEN FONT LICENSE.
See: https://github.com/stolk/dutch-blunt
"""
widths = [
5.0,
0.55555556,
3.0,
3.54,
2.00065051,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.74851064,
5.0,
4.90057317,
5.23316176,
5.0,
5.0,
5.0,
4.6077147,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
6.31074452,
5.19715952,
4.9519632,
5.0,
5.0,
0,
1.0,
3.0,
5.0,
4.0,
3.77123617,
4.0,
1.0,
2.0,
2.0,
4.74839684,
5.0,
1.0,
4.0,
1.0,
3.03269207,
4.0,
3.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
1.0,
1.0,
2.5,
4.0,
2.5,
4.0,
5.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
3.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.66668,
4.0,
4.0,
2.0,
3.03269207,
2.0,
4.33333333,
4.5,
1.0,
3.667,
3.667,
3.3337,
3.667,
3.667,
3.0,
3.667,
3.667,
1.0,
2.0,
3.33333333,
2.0,
4.334,
3.667,
3.667,
3.667,
3.667,
3.0,
3.334,
3.0,
3.667,
4.0,
4.334,
4.33368,
3.667,
3.667,
3.0,
1.0,
3.0,
4.00026667,
5.0,
]
sizes = [
6,
6,
78,
240,
117,
6,
6,
6,
6,
6,
6,
6,
147,
6,
150,
204,
396,
120,
345,
258,
15,
15,
15,
15,
6,
42,
24,
30,
240,
150,
60,
54,
0,
36,
42,
144,
162,
54,
129,
21,
54,
54,
54,
54,
24,
18,
18,
18,
84,
63,
63,
102,
66,
75,
111,
27,
174,
111,
36,
39,
18,
36,
18,
81,
93,
72,
111,
54,
60,
54,
45,
72,
54,
54,
54,
51,
27,
42,
54,
72,
63,
90,
81,
90,
36,
54,
24,
42,
60,
72,
42,
36,
18,
36,
36,
18,
21,
60,
63,
54,
63,
87,
75,
84,
60,
36,
54,
51,
30,
63,
45,
72,
84,
84,
45,
84,
72,
45,
24,
63,
54,
78,
36,
60,
36,
60,
36,
174,
]
vdataoffsets = [
0,
6,
12,
90,
330,
447,
453,
459,
465,
471,
477,
483,
489,
636,
642,
792,
996,
1392,
1512,
1857,
2115,
2130,
2145,
2160,
2175,
2181,
2223,
2247,
2277,
2517,
2667,
2727,
2781,
2781,
2817,
2859,
3003,
3165,
3219,
3348,
3369,
3423,
3477,
3531,
3585,
3609,
3627,
3645,
3663,
3747,
3810,
3873,
3975,
4041,
4116,
4227,
4254,
4428,
4539,
4575,
4614,
4632,
4668,
4686,
4767,
4860,
4932,
5043,
5097,
5157,
5211,
5256,
5328,
5382,
5436,
5490,
5541,
5568,
5610,
5664,
5736,
5799,
5889,
5970,
6060,
6096,
6150,
6174,
6216,
6276,
6348,
6390,
6426,
6444,
6480,
6516,
6534,
6555,
6615,
6678,
6732,
6795,
6882,
6957,
7041,
7101,
7137,
7191,
7242,
7272,
7335,
7380,
7452,
7536,
7620,
7665,
7749,
7821,
7866,
7890,
7953,
8007,
8085,
8121,
8181,
8217,
8277,
8313,
]
vdata = [
-0,0, 5,3.06162e-16, 5,5, -0,0, 5,5, -3.06162e-16,5,
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3.49948,2.78511, 3.70408,2.78511, 3.49948,2.93595, 3.70408,2.78511, 3.70408,2.93595, 3.49948,2.06405, 3.70408,2.06405, 3.70408,2.21489, 3.49948,2.06405, 3.70408,2.21489, 3.49948,2.21489, 2.70716,4.37137, 2.5,4.10011, 2.58719,3.93543, 2.70716,4.37137, 2.58719,3.93543, 2.93595,4.37137, 2.58719,3.49948, 2.58719,3.93543, 2.5,4.10011, 2.58719,3.49948, 2.5,4.10011, 2.41281,3.93543, 2.58719,3.49948, 2.41281,3.93543, 2.41281,3.49948, 2.23843,0.628625, 2.35892,0.912332, 2.19449,0.964573, 2.23843,0.628625, 2.19449,0.964573, 2.06405,0.628625, 2.41281,1.50052, 2.5,1.29781, 2.58719,1.50052, 2.58719,1.50052, 2.5,1.29781, 2.58644,1.05879, 2.58719,1.50052, 2.58644,1.05879, 2.80551,0.964573, 2.19449,0.964573, 2.41356,1.05879, 2.5,1.29781, 2.19449,0.964573, 2.5,1.29781, 2.41281,1.50052, 2.35892,0.912332, 2.41356,1.05879, 2.19449,0.964573, 2.64108,0.912332, 2.58644,1.05879, 2.41356,1.05879, 2.64108,0.912332, 2.41356,1.05879, 2.35892,0.912332, 2.80551,0.964573, 2.58644,1.05879, 2.64108,0.912332, 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2.5,3.75, 2.02165,3.65485, 1.61612,3.38388, 2.5,3.75, 1.61612,3.38388, 1.34515,2.97835, 2.5,3.75, 1.34515,2.97835, 1.25,2.5, 2.5,3.75, 1.25,2.5, 1.34515,2.02165, 2.5,3.75, 1.34515,2.02165, 1.61612,1.61612, 2.5,3.75, 1.61612,1.61612, 2.02165,1.34515, 2.5,3.75, 2.02165,1.34515, 2.5,1.25, 2.5,3.75, 2.5,1.25, 2.97835,1.34515, 2.5,3.75, 2.97835,1.34515, 3.38388,1.61612, 2.5,3.75, 3.38388,1.61612, 3.65485,2.02165, 2.5,3.75, 3.65485,2.02165, 3.75,2.5, 2.5,3.75, 3.75,2.5, 3.65485,2.97835, 2.5,3.75, 3.65485,2.97835, 3.38388,3.38388, 2.5,3.75, 3.38388,3.38388, 2.97835,3.65485, 2.77621,4.06159, 2.22379,4.06159, 2.5,3.85, 2.77621,4.06159, 2.5,3.85, 2.5,3.75, 2.77621,4.06159, 2.5,3.75, 2.97835,3.65485, 2.77621,4.06159, 2.97835,3.65485, 3.38388,3.38388, 2.77621,4.06159, 3.38388,3.38388, 3.45459,3.45459, 2.77621,4.06159, 3.45459,3.45459, 3.4089,3.79952, 2.77621,4.06159, 3.4089,3.79952, 3.55802,4.42274, 2.77621,4.06159, 3.55802,4.42274, 3.11145,4.60771, 3.4089,3.79952, 3.45459,3.45459, 3.79952,3.4089, 3.79952,3.4089, 3.45459,3.45459, 3.38388,3.38388, 3.79952,3.4089, 3.38388,3.38388, 3.65485,2.97835, 3.79952,3.4089, 3.65485,2.97835, 3.75,2.5, 3.79952,3.4089, 3.75,2.5, 3.85,2.5, 3.79952,3.4089, 3.85,2.5, 4.06159,2.77621, 3.79952,3.4089, 4.06159,2.77621, 4.60771,3.11145, 3.79952,3.4089, 4.60771,3.11145, 4.42274,3.55802, 4.06159,2.77621, 3.85,2.5, 4.06159,2.22379, 4.06159,2.22379, 3.85,2.5, 3.75,2.5, 4.06159,2.22379, 3.75,2.5, 3.65485,2.02165, 4.06159,2.22379, 3.65485,2.02165, 3.38388,1.61612, 4.06159,2.22379, 3.38388,1.61612, 3.45459,1.54541, 4.06159,2.22379, 3.45459,1.54541, 3.79952,1.5911, 4.06159,2.22379, 3.79952,1.5911, 4.42274,1.44198, 4.06159,2.22379, 4.42274,1.44198, 4.60771,1.88855, 3.79952,1.5911, 3.45459,1.54541, 3.4089,1.20048, 3.4089,1.20048, 3.45459,1.54541, 3.38388,1.61612, 3.4089,1.20048, 3.38388,1.61612, 2.97835,1.34515, 3.4089,1.20048, 2.97835,1.34515, 3.30364,0.559853, 3.4089,1.20048, 3.30364,0.559853, 3.55802,0.577259, 3.55802,0.577259, 3.30364,0.559853, 3.11145,0.392285, 3.11145,0.392285, 3.30364,0.559853, 2.97835,1.34515, 3.11145,0.392285, 2.97835,1.34515, 2.5,1.25, 3.11145,0.392285, 2.5,1.25, 2.5,1.15, 3.11145,0.392285, 2.5,1.15, 2.77621,0.938413, 2.77621,0.938413, 2.5,1.15, 2.22379,0.938413, 2.22379,0.938413, 2.5,1.15, 2.5,1.25, 2.22379,0.938413, 2.5,1.25, 2.02165,1.34515, 2.22379,0.938413, 2.02165,1.34515, 1.69636,0.559853, 2.22379,0.938413, 1.69636,0.559853, 1.88855,0.392285, 1.88855,0.392285, 1.69636,0.559853, 1.44198,0.577259, 1.44198,0.577259, 1.69636,0.559853, 2.02165,1.34515, 1.44198,0.577259, 2.02165,1.34515, 1.61612,1.61612, 1.44198,0.577259, 1.61612,1.61612, 1.54541,1.54541, 1.44198,0.577259, 1.54541,1.54541, 1.5911,1.20048, 1.5911,1.20048, 1.54541,1.54541, 1.20048,1.5911, 1.20048,1.5911, 1.54541,1.54541, 1.61612,1.61612, 1.20048,1.5911, 1.61612,1.61612, 1.34515,2.02165, 1.20048,1.5911, 1.34515,2.02165, 0.559853,1.69636, 1.20048,1.5911, 0.559853,1.69636, 0.577259,1.44198, 0.577259,1.44198, 0.559853,1.69636, 0.392285,1.88855, 0.392285,1.88855, 0.559853,1.69636, 1.34515,2.02165, 0.392285,1.88855, 1.34515,2.02165, 1.25,2.5, 0.392285,1.88855, 1.25,2.5, 1.15,2.5, 0.392285,1.88855, 1.15,2.5, 0.938413,2.22379, 0.938413,2.22379, 1.15,2.5, 0.938413,2.77621, 0.938413,2.77621, 1.15,2.5, 1.25,2.5, 0.938413,2.77621, 1.25,2.5, 1.34515,2.97835, 0.938413,2.77621, 1.34515,2.97835, 0.559853,3.30364, 0.938413,2.77621, 0.559853,3.30364, 0.392285,3.11145, 0.392285,3.11145, 0.559853,3.30364, 0.577259,3.55802, 0.577259,3.55802, 0.559853,3.30364, 1.34515,2.97835, 0.577259,3.55802, 1.34515,2.97835, 1.61612,3.38388, 0.577259,3.55802, 1.61612,3.38388, 1.54541,3.45459, 0.577259,3.55802, 1.54541,3.45459, 1.20048,3.4089, 1.20048,3.4089, 1.54541,3.45459, 1.5911,3.79952, 1.88855,4.60771, 1.44198,4.42274, 1.5911,3.79952, 1.88855,4.60771, 1.5911,3.79952, 1.54541,3.45459, 1.88855,4.60771, 1.54541,3.45459, 1.61612,3.38388, 1.88855,4.60771, 1.61612,3.38388, 2.02165,3.65485, 1.88855,4.60771, 2.02165,3.65485, 2.5,3.75, 1.88855,4.60771, 2.5,3.75, 2.5,3.85, 1.88855,4.60771, 2.5,3.85, 2.22379,4.06159,
2.5,5, 0,2.5, 2.5,0, 2.5,5, 2.5,0, 2.5,1.66667, 2.5,5, 2.5,1.66667, 2.5,3.33333, 5,3.33333, 2.5,3.33333, 2.5,1.66667, 5,3.33333, 2.5,1.66667, 5,1.66667,
0,2.5, 2.5,0, 5,2.5, 0,2.5, 5,2.5, 3.33333,2.5, 0,2.5, 3.33333,2.5, 1.66667,2.5, 1.66667,5, 1.66667,2.5, 3.33333,2.5, 1.66667,5, 3.33333,2.5, 3.33333,5,
3.33333,0, 3.33333,2.5, 1.66667,2.5, 3.33333,0, 1.66667,2.5, 1.66667,0, 1.66667,2.5, 3.33333,2.5, 5,2.5, 1.66667,2.5, 5,2.5, 2.5,5, 1.66667,2.5, 2.5,5, 0,2.5,
0,1.66667, 2.5,1.66667, 2.5,3.33333, 0,1.66667, 2.5,3.33333, 0,3.33333, 2.5,3.33333, 2.5,1.66667, 2.5,0, 2.5,3.33333, 2.5,0, 5,2.5, 2.5,3.33333, 5,2.5, 2.5,5,
-1.10218e-15,0, 5,0, 5,5, -1.10218e-15,0, 5,5, -1.40834e-15,5,
2.5,5, 1.54329,4.8097, 0.732233,4.26777, 2.5,5, 0.732233,4.26777, 0.190301,3.45671, 2.5,5, 0.190301,3.45671, 0,2.5, 2.5,5, 0,2.5, 0.190301,1.54329, 2.5,5, 0.190301,1.54329, 0.732233,0.732233, 2.5,5, 0.732233,0.732233, 1.54329,0.190301, 2.5,5, 1.54329,0.190301, 2.5,0, 2.5,5, 2.5,0, 3.45671,0.190301, 2.5,5, 3.45671,0.190301, 4.26777,0.732233, 2.5,5, 4.26777,0.732233, 4.8097,1.54329, 2.5,5, 4.8097,1.54329, 5,2.5, 2.5,5, 5,2.5, 4.8097,3.45671, 2.5,5, 4.8097,3.45671, 4.26777,4.26777, 2.5,5, 4.26777,4.26777, 3.45671,4.8097,
0,0, 0.5,0.5, 0.5,4.5, 0,0, 0.5,4.5, 0,5, 0,5, 0.5,4.5, 4.5,4.5, 0,5, 4.5,4.5, 5,5, 5,0, 4.5,0.5, 0.5,0.5, 5,0, 0.5,0.5, 0,0, 5,5, 4.5,4.5, 4.5,0.5, 5,5, 4.5,0.5, 5,0,
0,0, 0.5,0.5, 0.5,4.5, 0,0, 0.5,4.5, 0,5, 0,5, 0.5,4.5, 4.5,4.5, 0,5, 4.5,4.5, 5,5, 5,0, 4.5,0.5, 0.5,0.5, 5,0, 0.5,0.5, 0,0, 5,5, 4.5,4.5, 4.5,0.5, 5,5, 4.5,0.5, 5,0, 2.01316,1.02695, 6.31074,5.11791, 2.09803,2.13456, 2.01316,1.02695, 2.09803,2.13456, 0.735741,3.22976,
2.19956,5.19716, 2.06105,4.70677, 2.93895,4.70677, 2.19956,5.19716, 2.93895,4.70677, 2.80044,5.19716, 4.19474,4.61962, 3.75003,4.37081, 4.37081,3.75003, 4.19474,4.61962, 4.37081,3.75003, 4.61962,4.19474, 5.19716,2.80044, 4.70677,2.93895, 4.70677,2.06105, 5.19716,2.80044, 4.70677,2.06105, 5.19716,2.19956, 4.61962,0.805263, 4.37081,1.24997, 3.75003,0.629193, 4.61962,0.805263, 3.75003,0.629193, 4.19474,0.380378, 2.80044,-0.19716, 2.93895,0.293233, 2.06105,0.293233, 2.80044,-0.19716, 2.06105,0.293233, 2.19956,-0.19716, 0.805263,0.380378, 1.24997,0.629193, 0.629193,1.24997, 0.805263,0.380378, 0.629193,1.24997, 0.380378,0.805263, -0.19716,2.19956, 0.293233,2.06105, 0.293233,2.93895, -0.19716,2.19956, 0.293233,2.93895, -0.19716,2.80044, 0.380378,4.19474, 0.629193,3.75003, 1.24997,4.37081, 0.380378,4.19474, 1.24997,4.37081, 0.805263,4.61962, 2.06105,4.70677, 2.14884,4.26541, 2.85116,4.26541, 2.06105,4.70677, 2.85116,4.26541, 2.93895,4.70677, 2.93895,4.70677, 2.85116,4.26541, 3.50003,3.99665, 2.93895,4.70677, 3.50003,3.99665, 3.75003,4.37081, 3.75003,4.37081, 3.50003,3.99665, 3.99665,3.50003, 3.75003,4.37081, 3.99665,3.50003, 4.37081,3.75003, 4.37081,3.75003, 3.99665,3.50003, 4.26541,2.85116, 4.37081,3.75003, 4.26541,2.85116, 4.70677,2.93895, 4.70677,2.93895, 4.26541,2.85116, 4.26541,2.14884, 4.70677,2.93895, 4.26541,2.14884, 4.70677,2.06105, 4.70677,2.06105, 4.26541,2.14884, 3.99665,1.49997, 4.70677,2.06105, 3.99665,1.49997, 4.37081,1.24997, 4.37081,1.24997, 3.99665,1.49997, 3.50003,1.00335, 4.37081,1.24997, 3.50003,1.00335, 3.75003,0.629193, 3.75003,0.629193, 3.50003,1.00335, 2.85116,0.734586, 3.75003,0.629193, 2.85116,0.734586, 2.93895,0.293233, 2.93895,0.293233, 2.85116,0.734586, 2.14884,0.734586, 2.93895,0.293233, 2.14884,0.734586, 2.06105,0.293233, 2.06105,0.293233, 2.14884,0.734586, 1.49997,1.00335, 2.06105,0.293233, 1.49997,1.00335, 1.24997,0.629193, 1.24997,0.629193, 1.49997,1.00335, 1.00335,1.49997, 1.24997,0.629193, 1.00335,1.49997, 0.629193,1.24997, 0.629193,1.24997, 1.00335,1.49997, 0.734586,2.14884, 0.629193,1.24997, 0.734586,2.14884, 0.293233,2.06105, 0.293233,2.06105, 0.734586,2.14884, 0.734586,2.85116, 0.293233,2.06105, 0.734586,2.85116, 0.293233,2.93895, 0.293233,2.93895, 0.734586,2.85116, 1.00335,3.50003, 0.293233,2.93895, 1.00335,3.50003, 0.629193,3.75003, 0.629193,3.75003, 1.00335,3.50003, 1.49997,3.99665, 0.629193,3.75003, 1.49997,3.99665, 1.24997,4.37081, 1.24997,4.37081, 1.49997,3.99665, 2.14884,4.26541, 1.24997,4.37081, 2.14884,4.26541, 2.06105,4.70677, 1.15302,1.59998, 1.82651,2.04999, 1.70556,2.34198, 1.15302,1.59998, 1.70556,2.34198, 0.911128,2.18395, 1.59998,1.15302, 2.04999,1.82651, 1.82651,2.04999, 1.59998,1.15302, 1.82651,2.04999, 1.15302,1.59998, 2.18395,0.911128, 2.34198,1.70556, 2.04999,1.82651, 2.18395,0.911128, 2.04999,1.82651, 1.59998,1.15302, 2.81605,0.911128, 2.65802,1.70556, 2.34198,1.70556, 2.81605,0.911128, 2.34198,1.70556, 2.18395,0.911128, 3.40002,1.15302, 2.95001,1.82651, 2.65802,1.70556, 3.40002,1.15302, 2.65802,1.70556, 2.81605,0.911128, 3.84698,1.59998, 3.17349,2.04999, 2.95001,1.82651, 3.84698,1.59998, 2.95001,1.82651, 3.40002,1.15302, 4.08887,2.18395, 3.29444,2.34198, 3.17349,2.04999, 4.08887,2.18395, 3.17349,2.04999, 3.84698,1.59998, 4.08887,2.81605, 3.29444,2.65802, 3.29444,2.34198, 4.08887,2.81605, 3.29444,2.34198, 4.08887,2.18395, 3.84698,3.40002, 3.17349,2.95001, 3.29444,2.65802, 3.84698,3.40002, 3.29444,2.65802, 4.08887,2.81605, 3.40002,3.84698, 2.95001,3.17349, 3.17349,2.95001, 3.40002,3.84698, 3.17349,2.95001, 3.84698,3.40002, 2.81605,4.08887, 2.65802,3.29444, 2.95001,3.17349, 2.81605,4.08887, 2.95001,3.17349, 3.40002,3.84698, 2.18395,4.08887, 2.34198,3.29444, 2.65802,3.29444, 2.18395,4.08887, 2.65802,3.29444, 2.81605,4.08887, 1.59998,3.84698, 2.04999,3.17349, 2.34198,3.29444, 1.59998,3.84698, 2.34198,3.29444, 2.18395,4.08887, 1.15302,3.40002, 1.82651,2.95001, 2.04999,3.17349, 1.15302,3.40002, 2.04999,3.17349, 1.59998,3.84698, 0.911128,2.81605, 1.70556,2.65802, 1.82651,2.95001, 0.911128,2.81605, 1.82651,2.95001, 1.15302,3.40002, 0.911128,2.18395, 1.70556,2.34198, 1.70556,2.65802, 0.911128,2.18395, 1.70556,2.65802, 0.911128,2.81605,
4.10403,2.10982, 4.60274,2.5, 4.10403,2.89018, 2.10982,0.89597, 2.5,0.397256, 2.89018,0.89597, 0.89597,2.89018, 0.397256,2.5, 0.89597,2.10982, 2.89018,4.10403, 2.5,4.60274, 2.10982,4.10403, 2.98773,4.95196, 2.98773,4.77446, 2.98773,4.83638, 2.98773,4.95196, 2.98773,4.83638, 2.98773,4.28226, 2.98773,4.95196, 2.98773,4.28226, 2.98773,2.98773, 2.98773,4.95196, 2.98773,2.98773, 4.28226,2.98773, 2.98773,4.95196, 4.28226,2.98773, 4.83638,2.98773, 2.98773,4.95196, 4.83638,2.98773, 4.77446,2.98773, 2.98773,4.95196, 4.77446,2.98773, 4.95196,2.98773, 2.98773,4.95196, 4.95196,2.98773, 4.57867,3.88893, 2.98773,4.95196, 4.57867,3.88893, 3.88893,4.57867, 4.95196,2.98773, 4.77446,2.98773, 4.77446,2.01227, 4.95196,2.98773, 4.77446,2.01227, 4.95196,2.01227, 4.95196,2.01227, 4.77446,2.01227, 4.83638,2.01227, 4.95196,2.01227, 4.83638,2.01227, 4.28226,2.01227, 4.95196,2.01227, 4.28226,2.01227, 2.98773,2.01227, 4.95196,2.01227, 2.98773,2.01227, 2.98773,0.717744, 4.95196,2.01227, 2.98773,0.717744, 2.98773,0.163617, 4.95196,2.01227, 2.98773,0.163617, 2.98773,0.225536, 4.95196,2.01227, 2.98773,0.225536, 2.98773,0.0480368, 4.95196,2.01227, 2.98773,0.0480368, 3.88893,0.421326, 4.95196,2.01227, 3.88893,0.421326, 4.57867,1.11107, 2.98773,0.0480368, 2.98773,0.225536, 2.01227,0.225536, 2.98773,0.0480368, 2.01227,0.225536, 2.01227,0.0480368, 2.01227,0.0480368, 2.01227,0.225536, 2.01227,0.163617, 2.01227,0.0480368, 2.01227,0.163617, 2.01227,0.717744, 2.01227,0.0480368, 2.01227,0.717744, 2.01227,2.01227, 2.01227,0.0480368, 2.01227,2.01227, 0.717744,2.01227, 2.01227,0.0480368, 0.717744,2.01227, 0.163617,2.01227, 2.01227,0.0480368, 0.163617,2.01227, 0.225536,2.01227, 2.01227,0.0480368, 0.225536,2.01227, 0.0480368,2.01227, 2.01227,0.0480368, 0.0480368,2.01227, 0.421326,1.11107, 2.01227,0.0480368, 0.421326,1.11107, 1.11107,0.421326, 0.0480368,2.01227, 0.225536,2.01227, 0.225536,2.98773, 0.0480368,2.01227, 0.225536,2.98773, 0.0480368,2.98773, 0.0480368,2.98773, 0.225536,2.98773, 0.163617,2.98773, 0.0480368,2.98773, 0.163617,2.98773, 0.717744,2.98773, 0.0480368,2.98773, 0.717744,2.98773, 2.01227,2.98773, 0.0480368,2.98773, 2.01227,2.98773, 2.01227,4.28226, 0.0480368,2.98773, 2.01227,4.28226, 2.01227,4.83638, 0.0480368,2.98773, 2.01227,4.83638, 2.01227,4.77446, 0.0480368,2.98773, 2.01227,4.77446, 2.01227,4.95196, 0.0480368,2.98773, 2.01227,4.95196, 1.11107,4.57867, 0.0480368,2.98773, 1.11107,4.57867, 0.421326,3.88893, 2.01227,4.95196, 2.01227,4.77446, 2.98773,4.77446, 2.01227,4.95196, 2.98773,4.77446, 2.98773,4.95196, 2.98773,2.98773, 2.01227,2.98773, 2.01227,2.01227, 2.98773,2.98773, 2.01227,2.01227, 2.98773,2.01227,
0,2.91014, 0.707015,2.68787, 2.05879,2.76414, 0,2.91014, 2.05879,2.76414, 1.8644,3.01533, 1,0, 1.44587,0.6316, 1.78078,1.84494, 1,0, 1.78078,1.84494, 1.48212,1.74664, 4,0, 3.55413,0.6316, 2.5,1.36949, 4,0, 2.5,1.36949, 2.5,1.05, 5,2.91014, 4.29299,2.68787, 3.21922,1.84494, 5,2.91014, 3.21922,1.84494, 3.51788,1.74664, 2.5,5, 2.5,4.14183, 2.94121,2.76414, 2.5,5, 2.94121,2.76414, 3.1356,3.01533, 2.5,1.05, 2.5,1.36949, 1.44587,0.6316, 2.5,1.05, 1.44587,0.6316, 1,0, 3.51788,1.74664, 3.21922,1.84494, 3.55413,0.6316, 3.51788,1.74664, 3.55413,0.6316, 4,0, 3.1356,3.01533, 2.94121,2.76414, 4.29299,2.68787, 3.1356,3.01533, 4.29299,2.68787, 5,2.91014, 1.8644,3.01533, 2.05879,2.76414, 2.5,4.14183, 1.8644,3.01533, 2.5,4.14183, 2.5,5, 1.48212,1.74664, 1.78078,1.84494, 0.707015,2.68787, 1.48212,1.74664, 0.707015,2.68787, 0,2.91014,
0,2.91014, 1.48212,1.74664, 1.2288,2.44328, 1,0, 2.5,1.05, 1.73545,1.05, 4,0, 3.51788,1.74664, 3.26455,1.05, 5,2.91014, 3.1356,3.01533, 3.7712,2.44328, 2.5,5, 1.8644,3.01533, 2.5,3.58737, 1.73545,1.05, 1.48212,1.74664, 1,0, 3.26455,1.05, 3.51788,1.74664, 3.7712,2.44328, 3.26455,1.05, 3.7712,2.44328, 3.1356,3.01533, 3.26455,1.05, 3.1356,3.01533, 2.5,3.58737, 3.26455,1.05, 2.5,3.58737, 1.8644,3.01533, 3.26455,1.05, 1.8644,3.01533, 1.2288,2.44328, 3.26455,1.05, 1.2288,2.44328, 1.48212,1.74664, 3.26455,1.05, 1.48212,1.74664, 1.73545,1.05, 3.26455,1.05, 1.73545,1.05, 2.5,1.05, 2.5,1.05, 4,0, 3.26455,1.05, 3.51788,1.74664, 5,2.91014, 3.7712,2.44328, 3.1356,3.01533, 2.5,5, 2.5,3.58737, 1.8644,3.01533, 0,2.91014, 1.2288,2.44328,
0.333333,5, 0,4.66667, 0,2.00033, 0.333333,5, 0,2.00033, 0.333333,1.667, 0.333333,5, 0.333333,1.667, 0.666667,1.667, 0.333333,5, 0.666667,1.667, 1,2.00033, 0.333333,5, 1,2.00033, 1,4.66667, 0.333333,5, 1,4.66667, 0.666667,5, 0,0.333333, 0.333333,0, 0.666667,0, 0,0.333333, 0.666667,0, 1,0.333333, 0,0.333333, 1,0.333333, 1,0.666667, 0,0.333333, 1,0.666667, 0.666667,1, 0,0.333333, 0.666667,1, 0.333333,1, 0,0.333333, 0.333333,1, 0,0.666667,
1,4, 0.666667,4, 1,3, 3,4, 2.66667,4, 3,3, 0,4.33333, 0.333333,4, 0.666667,4, 0,4.33333, 0.666667,4, 1,4, 0,4.33333, 1,4, 1,4.66667, 0,4.33333, 1,4.66667, 0.666667,5, 0,4.33333, 0.666667,5, 0.333333,5, 0,4.33333, 0.333333,5, 0,4.66667, 2,4.33333, 2.33333,4, 2.66667,4, 2,4.33333, 2.66667,4, 3,4, 2,4.33333, 3,4, 3,4.66667, 2,4.33333, 3,4.66667, 2.66667,5, 2,4.33333, 2.66667,5, 2.33333,5, 2,4.33333, 2.33333,5, 2,4.66667,
1,1, 2,1, 2,2, 1,1, 2,2, 1,2, 1,1, 1,0.333333, 1.33333,0, 1,1, 1.33333,0, 1.66667,0, 1,1, 1.66667,0, 2,0.333333, 1,1, 2,0.333333, 2,1, 1,2, 2,2, 2,3, 1,2, 2,3, 1,3, 1,2, 0.333333,2, 0,1.66667, 1,2, 0,1.66667, 0,1.33333, 1,2, 0,1.33333, 0.333333,1, 1,2, 0.333333,1, 1,1, 1,3, 2,3, 2,4, 1,3, 2,4, 1,4, 1,4, 0.333333,4, 0,3.66667, 1,4, 0,3.66667, 0,3.33333, 1,4, 0,3.33333, 0.333333,3, 1,4, 0.333333,3, 1,3, 2,1, 3,1, 3,2, 2,1, 3,2, 2,2, 2,3, 3,3, 3,4, 2,3, 3,4, 2,4, 2,4, 2,4.66667, 1.66667,5, 2,4, 1.66667,5, 1.33333,5, 2,4, 1.33333,5, 1,4.66667, 2,4, 1,4.66667, 1,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,0.333333, 3.33333,0, 3,1, 3.33333,0, 3.66667,0, 3,1, 3.66667,0, 4,0.333333, 3,1, 4,0.333333, 4,1, 3,2, 4,2, 4,3, 3,2, 4,3, 3,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 4,1, 4.66667,1, 5,1.33333, 4,1, 5,1.33333, 5,1.66667, 4,1, 5,1.66667, 4.66667,2, 4,1, 4.66667,2, 4,2, 4,3, 4.66667,3, 5,3.33333, 4,3, 5,3.33333, 5,3.66667, 4,3, 5,3.66667, 4.66667,4, 4,3, 4.66667,4, 4,4, 4,4, 4,4.66667, 3.66667,5, 4,4, 3.66667,5, 3.33333,5, 4,4, 3.33333,5, 3,4.66667, 4,4, 3,4.66667, 3,4,
0,3, 1,2, 1.33333,2, 0,3, 1.33333,2, 1.66667,2, 0,3, 1.66667,2, 2,2, 0,3, 2,2, 2.66667,2, 0,3, 2.66667,2, 3,2, 0,3, 3,2, 4,2, 0,3, 4,2, 3,3, 0,3, 3,3, 2.33333,3, 0,3, 2.33333,3, 2,3, 0,3, 2,3, 1.66667,3, 0,3, 1.66667,3, 1.33333,3, 0,3, 1.33333,3, 1,3, 0,3, 1,3, 1,3.33333, 0,3, 1,3.33333, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,1, 0.666667,1, 0.333333,1, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 3,0, 1,1, 3,0, 4,1, 1,1, 4,1, 3,1, 1,1, 3,1, 2.66667,1, 1,1, 2.66667,1, 2,1, 1,1, 2,1, 1.66667,1, 1,1, 1.66667,1, 1.33333,1, 1,1, 1.33333,2, 1,2, 1,2, 0.666667,1, 1,1, 1,3, 1.33333,3, 1,3.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 1.66667,4, 1,4, 1.66667,4, 2,4, 1,4, 2,4, 2.33333,4, 1,4, 2.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 1.66667,3, 2,4, 1.66667,4, 1.66667,3, 1.66667,4, 1.33333,3, 2.66667,2, 3,1.66667, 3,2, 3,1.33333, 2.66667,1, 3,1, 2.33333,3, 2.66667,4, 2.33333,4, 2.33333,3, 2.33333,4, 2,3, 1.66667,2, 1.33333,1, 1.66667,1, 1.66667,2, 1.66667,1, 2,2,
0,1.32149, 0,0.850084, 0.235702,0.614382, 0,1.32149, 0.235702,0.614382, 0.707107,0.614382, 0,1.32149, 0.707107,0.614382, 3.77124,3.67851, 0,1.32149, 3.77124,3.67851, 3.77124,4.14992, 0,1.32149, 3.77124,4.14992, 3.53553,4.38562, 0,1.32149, 3.53553,4.38562, 3.06413,4.38562, 2.68562,1.03333, 3.01895,0.7, 3.35228,0.7, 2.68562,1.03333, 3.35228,0.7, 3.68562,1.03333, 2.68562,1.03333, 3.68562,1.03333, 3.68562,1.36667, 2.68562,1.03333, 3.68562,1.36667, 3.35228,1.7, 2.68562,1.03333, 3.35228,1.7, 3.01895,1.7, 2.68562,1.03333, 3.01895,1.7, 2.68562,1.36667, 0.0856181,3.63333, 0.418951,3.3, 0.752285,3.3, 0.0856181,3.63333, 0.752285,3.3, 1.08562,3.63333, 0.0856181,3.63333, 1.08562,3.63333, 1.08562,3.96667, 0.0856181,3.63333, 1.08562,3.96667, 0.752285,4.3, 0.0856181,3.63333, 0.752285,4.3, 0.418951,4.3, 0.0856181,3.63333, 0.418951,4.3, 0.0856181,3.96667,
0,1, 1,0, 3.66667,0, 0,1, 3.66667,0, 4,0.333333, 0,1, 4,0.333333, 4,0.666667, 0,1, 4,0.666667, 3.66667,1, 0,1, 3.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,1.66667, 0,1, 1,1.66667, 1,2, 0,1, 1,2, 0,2, 1,1, 1.33333,1, 1,1.33333, 1,2, 1,1.66667, 1.33333,2, 1,2, 1.33333,2, 2.33333,2, 1,2, 2.33333,2, 2.76667,2, 1,2, 2.76667,2, 3,2, 1,2, 3,2, 4,3, 1,2, 4,3, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 2.23333,3, 1,2, 2.23333,3, 2,3, 1,2, 2,3, 1.33333,3, 1,2, 1.33333,3, 1,3, 1,2, 1,3, 0,2, 1,4, 1,3.33333, 1.33333,3, 1,4, 1.33333,3, 2,3, 1,4, 2,3, 2,3.33333, 1,4, 2,3.33333, 2,3.66667, 1,4, 2,3.66667, 2,4, 2,3, 2.23333,3, 2,3.33333, 2,4, 2,3.66667, 2.33333,4, 2,4, 2.33333,4, 2.66667,4, 2,4, 2.66667,4, 3,4, 2,4, 3,4, 4,4, 2,4, 4,4, 3,5, 2,4, 3,5, 2,5, 2,4, 2,5, 1,4, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3, 2.33333,2, 3,1.5, 2.76667,2,
1,4, 0.666667,4, 1,3, 0,4.33333, 0.333333,4, 0.666667,4, 0,4.33333, 0.666667,4, 1,4, 0,4.33333, 1,4, 1,4.66667, 0,4.33333, 1,4.66667, 0.666667,5, 0,4.33333, 0.666667,5, 0.333333,5, 0,4.33333, 0.333333,5, 0,4.66667,
-1.8982e-15,1, 1,0, 1,1, -1.8982e-15,1, 1,1, 1,1.33333, -1.8982e-15,1, 1,1.33333, 1,3.66667, -1.8982e-15,1, 1,3.66667, 1,4, -1.8982e-15,1, 1,4, 1,5, -1.8982e-15,1, 1,5, -2.0819e-15,4, 1,0, 1.66667,0, 2,0.333333, 1,0, 2,0.333333, 2,0.666667, 1,0, 2,0.666667, 1.66667,1, 1,0, 1.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 1.66667,4, 1,4, 1.66667,4, 2,4.33333, 1,4, 2,4.33333, 2,4.66667, 1,4, 2,4.66667, 1.66667,5, 1,4, 1.66667,5, 1,5,
1,0, 2,1, 2,4, 1,0, 2,4, 1,5, 1,0, 1,5, 1,4, 1,0, 1,4, 1,3.66667, 1,0, 1,3.66667, 1,1.33333, 1,0, 1,1.33333, 1,1, 1,1, 0.666667,1, 0.333333,1, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 1,0, 1,5, 0.333333,5, 0,4.66667, 1,5, 0,4.66667, 0,4.33333, 1,5, 0,4.33333, 0.333333,4, 1,5, 0.333333,4, 0.666667,4, 1,5, 0.666667,4, 1,4, 0.666667,4, 1,3.66667, 1,4, 1,1.33333, 0.666667,1, 1,1,
4.7484,1.39434, 4.62639,1.84968, 0.873612,4.01635, 4.7484,1.39434, 0.873612,4.01635, 0.41827,3.89434, 4.7484,1.39434, 0.41827,3.89434, 0.251603,3.60566, 4.7484,1.39434, 0.251603,3.60566, 0.373612,3.15032, 4.7484,1.39434, 0.373612,3.15032, 4.12639,0.983654, 4.7484,1.39434, 4.12639,0.983654, 4.58173,1.10566, 0.41827,1.10566, 0.873612,0.983654, 4.62639,3.15032, 0.41827,1.10566, 4.62639,3.15032, 4.7484,3.60566, 0.41827,1.10566, 4.7484,3.60566, 4.58173,3.89434, 0.41827,1.10566, 4.58173,3.89434, 4.12639,4.01635, 0.41827,1.10566, 4.12639,4.01635, 0.373612,1.84968, 0.41827,1.10566, 0.373612,1.84968, 0.251603,1.39434, 2.66667,0, 3,0.333333, 3,4.66667, 2.66667,0, 3,4.66667, 2.66667,5, 2.66667,0, 2.66667,5, 2.33333,5, 2.66667,0, 2.33333,5, 2,4.66667, 2.66667,0, 2,4.66667, 2,0.333333, 2.66667,0, 2,0.333333, 2.33333,0,
2,2, 3,2, 3,3, 2,2, 3,3, 2,3, 2,2, 2,0.333333, 2.33333,0, 2,2, 2.33333,0, 2.66667,0, 2,2, 2.66667,0, 3,0.333333, 2,2, 3,0.333333, 3,2, 2,3, 0.333333,3, 0,2.66667, 2,3, 0,2.66667, 0,2.33333, 2,3, 0,2.33333, 0.333333,2, 2,3, 0.333333,2, 2,2, 3,2, 4.66667,2, 5,2.33333, 3,2, 5,2.33333, 5,2.66667, 3,2, 5,2.66667, 4.66667,3, 3,2, 4.66667,3, 3,3, 3,3, 3,4.66667, 2.66667,5, 3,3, 2.66667,5, 2.33333,5, 3,3, 2.33333,5, 2,4.66667, 3,3, 2,4.66667, 2,3,
1,0, 0.666667,0, 1,-1, 1,0.333333, 1,0.666667, 0.666667,1, 1,0.333333, 0.666667,1, 0.333333,1, 1,0.333333, 0.333333,1, 0,0.666667, 1,0.333333, 0,0.666667, 0,0.333333, 1,0.333333, 0,0.333333, 0.333333,0, 1,0.333333, 0.333333,0, 0.666667,0, 1,0.333333, 0.666667,0, 1,0,
0,2.33333, 0.333333,2, 3.66667,2, 0,2.33333, 3.66667,2, 4,2.33333, 0,2.33333, 4,2.33333, 4,2.66667, 0,2.33333, 4,2.66667, 3.66667,3, 0,2.33333, 3.66667,3, 0.333333,3, 0,2.33333, 0.333333,3, 0,2.66667,
0,0.333333, 0.333333,0, 0.666667,0, 0,0.333333, 0.666667,0, 1,0.333333, 0,0.333333, 1,0.333333, 1,0.666667, 0,0.333333, 1,0.666667, 0.666667,1, 0,0.333333, 0.666667,1, 0.333333,1, 0,0.333333, 0.333333,1, 0,0.666667,
2.62201,4.7484, 2.16667,4.62639, 0,0.873612, 2.62201,4.7484, 0,0.873612, 0.122008,0.41827, 2.62201,4.7484, 0.122008,0.41827, 0.410684,0.251603, 2.62201,4.7484, 0.410684,0.251603, 0.866025,0.373612, 2.62201,4.7484, 0.866025,0.373612, 3.03269,4.12639, 2.62201,4.7484, 3.03269,4.12639, 2.91068,4.58173,
-2.2656e-15,1, 1,0, 1,1, -2.2656e-15,1, 1,1, 1,1.33333, -2.2656e-15,1, 1,1.33333, 1,3.66667, -2.2656e-15,1, 1,3.66667, 1,4, -2.2656e-15,1, 1,4, 1,5, -2.2656e-15,1, 1,5, -2.44929e-15,4, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 1.66667,1, 1,0, 1.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.33333,4, 1,4, 2.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3,5, 1,4, 3,5, 1,5, 3,0, 4,1, 4,4, 3,0, 4,4, 3,5, 3,0, 3,5, 3,4, 3,0, 3,4, 3,3.66667, 3,0, 3,3.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 1.66667,1, 2.66667,4, 2.33333,4, 1.66667,1, 2.33333,4, 1.33333,1, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1,
1,4, 0.333333,4, 0,3.66667, 1,4, 0,3.66667, 0,3.33333, 1,4, 0,3.33333, 0.333333,3, 1,4, 0.333333,3, 1,3, 2,0, 2.66667,0, 3,0.333333, 2,0, 3,0.333333, 3,0.666667, 2,0, 3,0.666667, 2.66667,1, 2,0, 2.66667,1, 2,1, 2,0, 2,1, 1,1, 2,0, 1,1, 0.333333,1, 2,0, 0.333333,1, 0,0.666667, 2,0, 0,0.666667, 0,0.333333, 2,0, 0,0.333333, 0.333333,0, 2,0, 0.333333,0, 1,0, 2,1, 2,4, 2,4.66667, 2,1, 2,4.66667, 1.66667,5, 2,1, 1.66667,5, 1.33333,5, 2,1, 1.33333,5, 1,4.66667, 2,1, 1,4.66667, 1,4, 2,1, 1,4, 1,3, 2,1, 1,3, 1,1,
2.4,3, 3.4,3, 3.4,4, 2.4,3, 3.4,4, 2.4,4, 2.4,3, 2.4,4, 2.4,3.66667, 2.4,3, 2.4,3.66667, 2.4,3.33333, 2.4,3, 2.06667,3, 0,1, 2.4,3, 0,1, 1.33333,1, 2.4,3, 1.33333,1, 3.4,3, 3.4,4, 2.4,5, 0.333333,5, 3.4,4, 0.333333,5, 0,4.66667, 3.4,4, 0,4.66667, 0,4.33333, 3.4,4, 0,4.33333, 0.333333,4, 3.4,4, 0.333333,4, 2.06667,4, 3.4,4, 2.06667,4, 2.4,4, 2.06667,4, 2.4,3.66667, 2.4,4, 2.4,3.33333, 2.06667,3, 2.4,3, 4,0.666667, 3.66667,1, 1.33333,1, 4,0.666667, 1.33333,1, 0,1, 4,0.666667, 0,1, 0,0.333333, 4,0.666667, 0,0.333333, 0.333333,0, 4,0.666667, 0.333333,0, 3.66667,0, 4,0.666667, 3.66667,0, 4,0.333333,
3,1, 4,1, 4,2, 3,1, 4,2, 3.66667,2.33333, 3,1, 3.66667,2.33333, 3.5,2.5, 3,1, 3.5,2.5, 3,2.5, 3,1, 3,2.5, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,1, 2.66667,1, 2.33333,1, 3,1, 2.33333,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 3,4, 3,3.66667, 3,3.33333, 3,4, 3,3.33333, 3,2.5, 3,4, 3,2.5, 3.5,2.5, 3,4, 3.5,2.5, 3.66667,2.66667, 3,4, 3.66667,2.66667, 4,3, 3,4, 4,3, 4,4, 4,4, 3,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 2.66667,4, 4,4, 2.66667,4, 3,4, 2.66667,3, 3,2.5, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1, 3,1.66667, 3,2.5, 2.66667,2, 1,2.33333, 1.33333,2, 2.66667,2, 1,2.33333, 2.66667,2, 3,2.5, 1,2.33333, 3,2.5, 2.66667,3, 1,2.33333, 2.66667,3, 1.33333,3, 1,2.33333, 1.33333,3, 1,2.66667,
0,3, 0,2.33333, 0.333333,2, 0,3, 0.333333,2, 2,2, 0,3, 2,2, 3,2, 0,3, 3,2, 3.66667,2, 0,3, 3.66667,2, 4,2.33333, 0,3, 4,2.33333, 4,2.66667, 0,3, 4,2.66667, 3.66667,3, 0,3, 3.66667,3, 3,3, 0,3, 3,3, 2,3, 0,3, 2,3, 1,3, 1,3, 1,4.66667, 0.666667,5, 1,3, 0.666667,5, 0.333333,5, 1,3, 0.333333,5, 0,4.66667, 1,3, 0,4.66667, 0,3, 2,2, 2,0.333333, 2.33333,0, 2,2, 2.33333,0, 2.66667,0, 2,2, 2.66667,0, 3,0.333333, 2,2, 3,0.333333, 3,2, 3,3, 3,3.66667, 2.66667,4, 3,3, 2.66667,4, 2.33333,4, 3,3, 2.33333,4, 2,3.66667, 3,3, 2,3.66667, 2,3,
0,3, 1,3, 1,4, 0,3, 1,4, 0,4, 0,3, 0,2.33333, 0.333333,2, 0,3, 0.333333,2, 2.66667,2, 0,3, 2.66667,2, 3,2, 0,3, 3,2, 4,2, 0,3, 4,2, 3,3, 0,3, 3,3, 1,3, 0,4, 1,4, 3.66667,4, 0,4, 3.66667,4, 4,4.33333, 0,4, 4,4.33333, 4,4.66667, 0,4, 4,4.66667, 3.66667,5, 0,4, 3.66667,5, 0,5, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,1, 2.66667,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 3,2, 2.66667,2, 3,1.66667, 3,1.33333, 2.66667,1, 3,1,
0,1, 1,0, 3,0, 0,1, 3,0, 4,1, 0,1, 4,1, 3,1, 0,1, 3,1, 2.66667,1, 0,1, 2.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,1.66667, 0,1, 1,1.66667, 1,2, 0,1, 1,2, 0,2, 0,2, 1,2, 1.33333,2, 0,2, 1.33333,2, 2.66667,2, 0,2, 2.66667,2, 3,2, 0,2, 3,2, 4,2, 0,2, 4,2, 3,3, 0,2, 3,3, 1.33333,3, 0,2, 1.33333,3, 1,3, 0,2, 1,3, 0,3, 0,3, 1,3, 1,3.33333, 0,3, 1,3.33333, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,1, 1.33333,1, 1,1.33333, 1,2, 1,1.66667, 1.33333,2, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.36667,4, 1,4, 3.36667,4, 3.7,4.33333, 1,4, 3.7,4.33333, 3.7,4.66667, 1,4, 3.7,4.66667, 3.36667,5, 1,4, 3.36667,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 2.66667,2, 3,1.66667, 3,2, 3,1.33333, 2.66667,1, 3,1,
4,4, 4,4.66667, 3.66667,5, 4,4, 3.66667,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 2.8,4, 1.2,0, 2,0, 4,4, 1.2,0, 4,4, 2.8,4, 1.2,0, 2.8,4, 1,0.3,
-2.63299e-15,1, 1,0, 1,1, -2.63299e-15,1, 1,1, 1,1.33333, -2.63299e-15,1, 1,1.33333, 1,1.66667, -2.63299e-15,1, 1,1.66667, 1,2, -2.63299e-15,1, 1,2, 1,2.5, -2.63299e-15,1, 1,2.5, 0.5,2.5, -2.63299e-15,1, 0.5,2.5, -2.69422e-15,2, -2.75546e-15,3, 0.5,2.5, 1,2.5, -2.75546e-15,3, 1,2.5, 1,3, -2.75546e-15,3, 1,3, 1,3.33333, -2.75546e-15,3, 1,3.33333, 1,3.66667, -2.75546e-15,3, 1,3.66667, 1,4, -2.75546e-15,3, 1,4, 1,5, -2.75546e-15,3, 1,5, -2.81669e-15,4, 1,0, 2,0, 3,0, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 2,1, 1,0, 2,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,2, 1,1.66667, 1.33333,2, 1,2, 1.33333,2, 2,2, 1,2, 2,2, 2.66667,2, 1,2, 2.66667,2, 3,2, 1,2, 3,2, 3,2.5, 1,2, 3,2.5, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 2,3, 1,2, 2,3, 1.33333,3, 1,2, 1.33333,3, 1,3, 1,2, 1,3, 1,2.5, 1,3, 1.33333,3, 1,3.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2,4, 1,4, 2,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3,5, 1,4, 3,5, 2,5, 1,4, 2,5, 1,5, 3,0, 4,1, 4,2, 3,0, 4,2, 3.5,2.5, 3,0, 3.5,2.5, 3,2.5, 3,0, 3,2.5, 3,2, 3,0, 3,2, 3,1.66667, 3,0, 3,1.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 3,2, 2.66667,2, 3,1.66667, 3,3, 3,2.5, 3.5,2.5, 3,3, 3.5,2.5, 4,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,5, 3,3, 3,5, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 3,1.33333, 2.66667,1, 3,1, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3,
4,4, 3,5, 1,5, 4,4, 1,5, 0,4, 4,4, 0,4, 1,4, 4,4, 1,4, 1.33333,4, 4,4, 1.33333,4, 2.66667,4, 4,4, 2.66667,4, 3,4, 4,4, 3,4, 3,3.66667, 4,4, 3,3.66667, 3,3.33333, 4,4, 3,3.33333, 3,3, 4,4, 3,3, 4,3, 4,3, 3,3, 2.66667,3, 4,3, 2.66667,3, 1.33333,3, 4,3, 1.33333,3, 1,3, 4,3, 1,3, 0,3, 4,3, 0,3, 1,2, 4,3, 1,2, 2.66667,2, 4,3, 2.66667,2, 3,2, 4,3, 3,2, 4,2, 4,2, 3,2, 3,1.66667, 4,2, 3,1.66667, 3,1.33333, 4,2, 3,1.33333, 3,1, 4,2, 3,1, 4,1, 3,4, 2.66667,4, 3,3.66667, 3,3, 3,3.33333, 2.66667,3, 3,1, 3,1.33333, 2.66667,1, 3,1, 2.66667,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 1,4, 0,4, 0,3, 1,4, 0,3, 1,3, 1,4, 1,3, 1,3.33333, 1,4, 1,3.33333, 1,3.66667, 1.33333,3, 1,3.33333, 1,3, 1,3.66667, 1.33333,4, 1,4,
0,3.33333, 0.333333,3, 0.666667,3, 0,3.33333, 0.666667,3, 1,3.33333, 0,3.33333, 1,3.33333, 1,3.66667, 0,3.33333, 1,3.66667, 0.666667,4, 0,3.33333, 0.666667,4, 0.333333,4, 0,3.33333, 0.333333,4, 0,3.66667, 0,1.33333, 0.333333,1, 0.666667,1, 0,1.33333, 0.666667,1, 1,1.33333, 0,1.33333, 1,1.33333, 1,1.66667, 0,1.33333, 1,1.66667, 0.666667,2, 0,1.33333, 0.666667,2, 0.333333,2, 0,1.33333, 0.333333,2, 0,1.66667,
1,1, 0.666667,1, 1,0, 0,3.33333, 0.333333,3, 0.666667,3, 0,3.33333, 0.666667,3, 1,3.33333, 0,3.33333, 1,3.33333, 1,3.66667, 0,3.33333, 1,3.66667, 0.666667,4, 0,3.33333, 0.666667,4, 0.333333,4, 0,3.33333, 0.333333,4, 0,3.66667, 1,1.66667, 0.666667,2, 0.333333,2, 1,1.66667, 0.333333,2, 0,1.66667, 1,1.66667, 0,1.66667, 0,1.33333, 1,1.66667, 0,1.33333, 0.333333,1, 1,1.66667, 0.333333,1, 0.666667,1, 1,1.66667, 0.666667,1, 1,1,
0,2.5, 1,2.5, 2.5,4, 0,2.5, 2.5,4, 2.5,4.5, 0,2.5, 2.5,4.5, 2,4.5, 2,0.5, 2.5,0.5, 2.5,1, 2,0.5, 2.5,1, 1,2.5, 2,0.5, 1,2.5, 0,2.5,
4,1.66667, 3.66667,2, 0.333333,2, 4,1.66667, 0.333333,2, 0,1.66667, 4,1.66667, 0,1.66667, 0,1.33333, 4,1.66667, 0,1.33333, 0.333333,1, 4,1.66667, 0.333333,1, 3.66667,1, 4,1.66667, 3.66667,1, 4,1.33333, 4,3.66667, 3.66667,4, 0.333333,4, 4,3.66667, 0.333333,4, 0,3.66667, 4,3.66667, 0,3.66667, 0,3.33333, 4,3.66667, 0,3.33333, 0.333333,3, 4,3.66667, 0.333333,3, 3.66667,3, 4,3.66667, 3.66667,3, 4,3.33333,
2.5,2.5, 1.5,2.5, 0,1, 2.5,2.5, 0,1, 0,0.5, 2.5,2.5, 0,0.5, 0.5,0.5, 0.5,4.5, 0,4.5, 0,4, 0.5,4.5, 0,4, 1.5,2.5, 0.5,4.5, 1.5,2.5, 2.5,2.5,
1,2.333, 1,1.83333, 1.33333,1.5, 1,2.333, 1.33333,1.5, 1.66667,1.5, 1,2.333, 1.66667,1.5, 2,1.83333, 1,2.333, 2,1.83333, 2,2.333, 2,2.333, 3,2.333, 4,3.333, 2,2.333, 4,3.333, 3,3.333, 2,2.333, 3,3.333, 2.66667,3.333, 2,2.333, 2.66667,3.333, 1.33333,3.333, 2,2.333, 1.33333,3.333, 1,2.99967, 2,2.333, 1,2.99967, 1,2.333, 3,3.333, 4,3.333, 4,4, 3,3.333, 4,4, 3,4, 3,3.333, 3,4, 3,3.6664, 4,4, 3,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 2.66667,4, 4,4, 2.66667,4, 3,4, 2.66667,4, 3,3.6664, 3,4, 3,3.6664, 2.66667,3.333, 3,3.333, 1,0.333333, 1.33333,0, 1.66667,0, 1,0.333333, 1.66667,0, 2,0.333333, 1,0.333333, 2,0.333333, 2,0.666667, 1,0.333333, 2,0.666667, 1.66667,1, 1,0.333333, 1.66667,1, 1.33333,1, 1,0.333333, 1.33333,1, 1,0.666667,
1,2, 1,3.66667, 1,4, 1,2, 1,4, -3.18408e-15,4, 1,2, -3.18408e-15,4, -3.06162e-15,2, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4, 1,4, 4,4, 5,4, 1,4, 5,4, 4,5, 1,4, 4,5, 1,5, 1,4, 1,5, -3.18408e-15,4, 1.6,1, 2.6,0, 4,0, 1.6,1, 4,0, 4,1, 1.6,1, 4,1, 2.93333,1, 1.6,1, 2.93333,1, 2.6,1, 1.6,1, 2.6,1, 2.6,1.33333, 1.6,1, 2.6,1.33333, 2.6,1.66667, 1.6,1, 2.6,1.66667, 2.6,2, 1.6,1, 2.6,2, 1.6,2, 2.6,1, 2.93333,1, 2.6,1.33333, 2.6,2, 2.6,1.66667, 2.93333,2, 2.6,2, 2.93333,2, 4,2, 2.6,2, 4,2, 4,3, 2.6,2, 4,3, 2.6,3, 2.6,2, 2.6,3, 1.6,2, 4,0, 5,0, 5,4, 4,0, 5,4, 4,4, 4,0, 4,4, 4,3.66667, 4,0, 4,3.66667, 4,3, 4,0, 4,3, 4,2, 4,0, 4,2, 4,1, 3.66667,4, 4,3.66667, 4,4,
0,4, 0,0.333333, 0.333333,0, 0,4, 0.333333,0, 0.666667,0, 0,4, 0.666667,0, 1,0.333333, 0,4, 1,0.333333, 1,2, 0,4, 1,2, 1,3, 0,4, 1,3, 1,3.66667, 0,4, 1,3.66667, 1,4, 1,2, 3,2, 3,3, 1,2, 3,3, 1,3, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 4,4, 1,4, 4,4, 3,5, 1,4, 3,5, 1,5, 1,4, 1,5, 0,4, 3,2, 3,0.333333, 3.33333,0, 3,2, 3.33333,0, 3.66667,0, 3,2, 3.66667,0, 4,0.333333, 3,2, 4,0.333333, 4,4, 3,2, 4,4, 3,4, 3,2, 3,4, 3,3.66667, 3,2, 3,3.66667, 3,3, 2.66667,4, 3,3.66667, 3,4,
0,0, 3,0, 4,1, 0,0, 4,1, 3,1, 0,0, 3,1, 2.66667,1, 0,0, 2.66667,1, 1,1, 0,0, 1,1, 0,1, 0,4, 1,4, 2.66667,4, 0,4, 2.66667,4, 3,4, 0,4, 3,4, 4,4, 0,4, 4,4, 3,5, 0,4, 3,5, 0,5, 1,1, 1,2, 1,3, 1,1, 1,3, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,2, 2.66667,2, 3,2, 1,2, 3,2, 3.5,2, 1,2, 3.5,2, 3.5,2.5, 1,2, 3.5,2.5, 3.5,3, 1,2, 3.5,3, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 1,3, 3,1, 4,1, 4,2, 3,1, 4,2, 3.5,2, 3,1, 3.5,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,3, 3.5,3, 4,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 4,2, 3.5,2.5, 3.5,2, 2.66667,2, 3,1.66667, 3,2, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1, 3,3.33333, 2.66667,3, 3,3, 3.5,3, 3.5,2.5, 4,3,
0,1, 1,0, 3.66667,0, 0,1, 3.66667,0, 4,0.333333, 0,1, 4,0.333333, 4,0.666667, 0,1, 4,0.666667, 3.66667,1, 0,1, 3.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4,
0,0, 3,0, 4,1, 0,0, 4,1, 3,1, 0,0, 3,1, 2.66667,1, 0,0, 2.66667,1, 1,1, 0,0, 1,1, 0,1, 0,4, 1,4, 2.66667,4, 0,4, 2.66667,4, 3,4, 0,4, 3,4, 4,4, 0,4, 4,4, 3,5, 0,4, 3,5, 0,5, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 3,1, 4,1, 4,2, 3,1, 4,2, 4,3, 3,1, 4,3, 4,4, 3,1, 4,4, 3,4, 3,1, 3,4, 3,3.66667, 3,1, 3,3.66667, 3,1.33333, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1,
0,0, 3.66667,0, 4,0.333333, 0,0, 4,0.333333, 4,0.666667, 0,0, 4,0.666667, 3.66667,1, 0,0, 3.66667,1, 1,1, 0,0, 1,1, 0,1, 0,4, 1,4, 3.66667,4, 0,4, 3.66667,4, 4,4.33333, 0,4, 4,4.33333, 4,4.66667, 0,4, 4,4.66667, 3.66667,5, 0,4, 3.66667,5, 0,5, 1,1, 1,2, 1,3, 1,1, 1,3, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,2, 2.66667,2, 3,2.33333, 1,2, 3,2.33333, 3,2.66667, 1,2, 3,2.66667, 2.66667,3, 1,2, 2.66667,3, 1,3,
0,5, 0,0.333333, 0.333333,0, 0,5, 0.333333,0, 0.666667,0, 0,5, 0.666667,0, 1,0.333333, 0,5, 1,0.333333, 1,2, 0,5, 1,2, 1,3, 0,5, 1,3, 1,4, 0,5, 1,4, 1,5, 1,2, 2.66667,2, 3,2.33333, 1,2, 3,2.33333, 3,2.66667, 1,2, 3,2.66667, 2.66667,3, 1,2, 2.66667,3, 1,3, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5,
0,1, 1,0, 3,0, 0,1, 3,0, 3,1, 0,1, 3,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4, 3,0, 4,0, 4,3, 3,0, 4,3, 3,3, 3,0, 3,3, 3,2, 3,0, 3,2, 3,1, 3,3, 2.33333,3, 2,2.66667, 3,3, 2,2.66667, 2,2.33333, 3,3, 2,2.33333, 2.33333,2, 3,3, 2.33333,2, 3,2,
1,2, 3,2, 3,3, 1,2, 3,3, 1,3, 1,3, 1,4.66667, 0.666667,5, 1,3, 0.666667,5, 0.333333,5, 1,3, 0.333333,5, -3.5923e-15,4.66667, 1,3, -3.5923e-15,4.66667, -3.32696e-15,0.333333, 1,3, -3.32696e-15,0.333333, 0.333333,0, 1,3, 0.333333,0, 0.666667,0, 1,3, 0.666667,0, 1,0.333333, 1,3, 1,0.333333, 1,2, 3,2, 3,0.333333, 3.33333,0, 3,2, 3.33333,0, 3.66667,0, 3,2, 3.66667,0, 4,0.333333, 3,2, 4,0.333333, 4,4.66667, 3,2, 4,4.66667, 3.66667,5, 3,2, 3.66667,5, 3.33333,5, 3,2, 3.33333,5, 3,4.66667, 3,2, 3,4.66667, 3,3,
1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 2.66667,0, 1,1, 2.66667,0, 3,0.333333, 1,1, 3,0.333333, 3,0.666667, 1,1, 3,0.666667, 2.66667,1, 1,1, 2.66667,1, 2,1, 2,1, 2,4, 1,4, 2,1, 1,4, 1,1, 2,4, 2.66667,4, 3,4.33333, 2,4, 3,4.33333, 3,4.66667, 2,4, 3,4.66667, 2.66667,5, 2,4, 2.66667,5, 0.333333,5, 2,4, 0.333333,5, 0,4.66667, 2,4, 0,4.66667, 0,4.33333, 2,4, 0,4.33333, 0.333333,4, 2,4, 0.333333,4, 1,4,
0,1, 1,0, 3,0, 0,1, 3,0, 4,1, 0,1, 4,1, 3,1, 0,1, 3,1, 2.66667,1, 0,1, 2.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,1.66667, 1,1, 1,1.66667, 0.666667,2, 1,1, 0.666667,2, 0.333333,2, 1,1, 0.333333,2, 0,1.66667, 1,1, 0,1.66667, 0,1, 1,1, 1.33333,1, 1,1.33333, 3,1, 4,1, 4,4.66667, 3,1, 4,4.66667, 3.66667,5, 3,1, 3.66667,5, 3.33333,5, 3,1, 3.33333,5, 3,4.66667, 3,1, 3,4.66667, 3,1.33333, 3,1.33333, 2.66667,1, 3,1,
3,5, 1,3, 1,2.5, 3,5, 1,2.5, 1.83333,2.5, 3,5, 1.83333,2.5, 4,4.66667, 3,5, 4,4.66667, 4,5, 4,0, 4,0.333333, 1.83333,2.5, 4,0, 1.83333,2.5, 1,2.5, 4,0, 1,2.5, 1,2, 4,0, 1,2, 3,0, 1,4.66667, 0.666667,5, 0.333333,5, 1,4.66667, 0.333333,5, 0,4.66667, 1,4.66667, 0,4.66667, 0,0.333333, 1,4.66667, 0,0.333333, 0.333333,0, 1,4.66667, 0.333333,0, 0.666667,0, 1,4.66667, 0.666667,0, 1,0.333333, 1,4.66667, 1,0.333333, 1,2, 1,4.66667, 1,2, 1,2.5, 1,4.66667, 1,2.5, 1,3,
0,0, 3.66667,0, 4,0.333333, 0,0, 4,0.333333, 4,0.666667, 0,0, 4,0.666667, 3.66667,1, 0,0, 3.66667,1, 1,1, 0,0, 1,1, 0,1, 1,1, 1,4.66667, 0.666667,5, 1,1, 0.666667,5, 0.333333,5, 1,1, 0.333333,5, 0,4.66667, 1,1, 0,4.66667, 0,1,
0,5, 0,0.333333, 0.333333,0, 0,5, 0.333333,0, 0.666667,0, 0,5, 0.666667,0, 1,0.333333, 0,5, 1,0.333333, 1,3.66667, 0,5, 1,3.66667, 1,5, 1,5, 1,3.66667, 2,2.66667, 1,5, 2,2.66667, 2,4, 2,4, 2,2.66667, 3,3.66667, 2,4, 3,3.66667, 3,5, 3,5, 3,3.66667, 3,0.333333, 3,5, 3,0.333333, 3.33333,0, 3,5, 3.33333,0, 3.66667,0, 3,5, 3.66667,0, 4,0.333333, 3,5, 4,0.333333, 4,5,
1,2.83333, 3,0.833333, 3,2.16667, 1,2.83333, 3,2.16667, 1,4.16667, 3,0.833333, 3,0.333333, 3.33333,0, 3,0.833333, 3.33333,0, 3.66667,0, 3,0.833333, 3.66667,0, 4,0.333333, 3,0.833333, 4,0.333333, 4,4.66667, 3,0.833333, 4,4.66667, 3.66667,5, 3,0.833333, 3.66667,5, 3.33333,5, 3,0.833333, 3.33333,5, 3,4.66667, 3,0.833333, 3,4.66667, 3,2.16667, 1,4.16667, 1,4.66667, 0.666667,5, 1,4.16667, 0.666667,5, 0.333333,5, 1,4.16667, 0.333333,5, 0,4.66667, 1,4.16667, 0,4.66667, 0,0.333333, 1,4.16667, 0,0.333333, 0.333333,0, 1,4.16667, 0.333333,0, 0.666667,0, 1,4.16667, 0.666667,0, 1,0.333333, 1,4.16667, 1,0.333333, 1,2.83333,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,3.66667, 0,1, 1,3.66667, 1,4, 0,1, 1,4, 1,5, 0,1, 1,5, 0,4, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3,5, 1,4, 3,5, 1,5, 3,0, 4,1, 4,4, 3,0, 4,4, 3,5, 3,0, 3,5, 3,4, 3,0, 3,4, 3,3.66667, 3,0, 3,3.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1,
-3.9801e-15,5, -3.69435e-15,0.333333, 0.333333,0, -3.9801e-15,5, 0.333333,0, 0.666667,0, -3.9801e-15,5, 0.666667,0, 1,0.333333, -3.9801e-15,5, 1,0.333333, 1,2, -3.9801e-15,5, 1,2, 1,3, -3.9801e-15,5, 1,3, 1,4, -3.9801e-15,5, 1,4, 1,5, 1,2, 3,2, 4,3, 1,2, 4,3, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 1,3, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 4,4, 1,4, 4,4, 3,5, 1,4, 3,5, 1,5, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3,
0,1, 1,0, 3,0, 0,1, 3,0, 3.25,0.25, 0,1, 3.25,0.25, 3.75,0.75, 0,1, 3.75,0.75, 4,1, 0,1, 4,1, 3,1, 0,1, 3,1, 2.5,1, 0,1, 2.5,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 4,4, 1,4, 4,4, 3,5, 1,4, 3,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,4, 3,1, 4,4, 3,4, 3,1, 3,4, 3,3.66667, 3,1, 3,3.66667, 3,1.5, 2.66667,4, 3,3.66667, 3,4, 3,1.5, 2.5,2, 2,1.5, 3,1.5, 2,1.5, 2.5,1, 3,1.5, 2.5,1, 3,1, 4,0.5, 3.75,0.75, 3.25,0.25, 4,0.5, 3.25,0.25, 3.5,0,
0,5, 0,4, 1,4, 0,5, 1,4, 2.66667,4, 0,5, 2.66667,4, 3,4, 0,5, 3,4, 4,4, 0,5, 4,4, 3,5, 1,2, 3,0, 4,0, 1,2, 4,0, 4,0.333333, 1,2, 4,0.333333, 2.33333,2, 1,4, 0,4, 0,3, 1,4, 0,3, 1,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3, 2.33333,2, 3,2, 4,3, 2.33333,2, 4,3, 3,3, 2.33333,2, 3,3, 2.66667,3, 2.33333,2, 2.66667,3, 1,3, 2.33333,2, 1,3, 0,3, 2.33333,2, 0,3, 0,2, 2.33333,2, 0,2, 1,2, 0,0.333333, 0.333333,0, 0.666667,0, 0,0.333333, 0.666667,0, 1,0.333333, 0,0.333333, 1,0.333333, 1,2, 0,0.333333, 1,2, 0,2,
0,3, 1,2, 2.66667,2, 0,3, 2.66667,2, 3,2, 0,3, 3,2, 4,2, 0,3, 4,2, 3,3, 0,3, 3,3, 1.33333,3, 0,3, 1.33333,3, 1,3, 0,3, 1,3, 1,3.33333, 0,3, 1,3.33333, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,3, 1.33333,3, 1,3.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,1, 2.66667,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 2.66667,2, 3,1.66667, 3,2, 3,1.33333, 2.66667,1, 3,1,
1.5,4, 1.5,0.333333, 1.83333,0, 1.5,4, 1.83333,0, 2.16667,0, 1.5,4, 2.16667,0, 2.5,0.333333, 1.5,4, 2.5,0.333333, 2.5,4, 2.5,4, 3.66667,4, 4,4.33333, 2.5,4, 4,4.33333, 4,4.66667, 2.5,4, 4,4.66667, 3.66667,5, 2.5,4, 3.66667,5, 0.333333,5, 2.5,4, 0.333333,5, 0,4.66667, 2.5,4, 0,4.66667, 0,4.33333, 2.5,4, 0,4.33333, 0.333333,4, 2.5,4, 0.333333,4, 1.5,4,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,4.66667, 0,1, 1,4.66667, 0.666667,5, 0,1, 0.666667,5, 0.333333,5, 0,1, 0.333333,5, 0,4.66667, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 3,0, 4,1, 4,4.66667, 3,0, 4,4.66667, 3.66667,5, 3,0, 3.66667,5, 3.33333,5, 3,0, 3.33333,5, 3,4.66667, 3,0, 3,4.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 3,1.33333, 2.66667,1, 3,1,
0,5, 0,4.66667, 1.5,0, 0,5, 1.5,0, 2,0, 0,5, 2,0, 2,1.33333, 0,5, 2,1.33333, 0.916,5, 2.5,0, 4,4.66667, 4,5, 2.5,0, 4,5, 3.084,5, 2.5,0, 3.084,5, 2,1.33333, 2.5,0, 2,1.33333, 2,0,
1,0, 1,1.33333, 1,4.66667, 1,0, 1,4.66667, 0.666667,5, 1,0, 0.666667,5, 0.333333,5, 1,0, 0.333333,5, 0,4.66667, 1,0, 0,4.66667, 0,0, 2,1, 2,2.33333, 1,1.33333, 2,1, 1,1.33333, 1,0, 3,0, 3,1.33333, 2,2.33333, 3,0, 2,2.33333, 2,1, 4,0, 4,4.66667, 3.66667,5, 4,0, 3.66667,5, 3.33333,5, 4,0, 3.33333,5, 3,4.66667, 4,0, 3,4.66667, 3,1.33333, 4,0, 3,1.33333, 3,0,
0.266733,5, -4.33116e-15,4.73327, -4.30667e-15,4.33333, 0.266733,5, -4.30667e-15,4.33333, 1.66667,2.66667, 0.266733,5, 1.66667,2.66667, 2.33334,3.33333, 0.266733,5, 2.33334,3.33333, 0.666667,5, 4.39995,0, 4.66668,0.266733, 4.66668,0.666667, 4.39995,0, 4.66668,0.666667, 3.00001,2.33333, 4.39995,0, 3.00001,2.33333, 2.33334,1.66667, 4.39995,0, 2.33334,1.66667, 4.00001,0, -4.05767e-15,0.266733, 0.266733,0, 0.666667,0, -4.05767e-15,0.266733, 0.666667,0, 2.33334,1.66667, -4.05767e-15,0.266733, 2.33334,1.66667, 1.66667,2.33333, -4.05767e-15,0.266733, 1.66667,2.33333, -4.08216e-15,0.666667, 1.66667,2.33333, 2.33334,1.66667, 3.00001,2.33333, 1.66667,2.33333, 3.00001,2.33333, 3.00001,2.66667, 1.66667,2.33333, 3.00001,2.66667, 2.33334,3.33333, 1.66667,2.33333, 2.33334,3.33333, 1.66667,2.66667, 4.00001,5, 2.33334,3.33333, 3.00001,2.66667, 4.00001,5, 3.00001,2.66667, 4.66668,4.33333, 4.00001,5, 4.66668,4.33333, 4.66668,4.73327, 4.00001,5, 4.66668,4.73327, 4.39995,5,
0,3, 1,2, 1.5,2, 0,3, 1.5,2, 2.5,2, 0,3, 2.5,2, 3,2, 0,3, 3,2, 4,3, 0,3, 4,3, 3,3, 0,3, 3,3, 2.66667,3, 0,3, 2.66667,3, 1.33333,3, 0,3, 1.33333,3, 1,3, 1,3, 1,3.33333, 1,4.66667, 1,3, 1,4.66667, 0.666667,5, 1,3, 0.666667,5, 0.333333,5, 1,3, 0.333333,5, 0,4.66667, 1,3, 0,4.66667, 0,3, 1,3, 1.33333,3, 1,3.33333, 3,3, 4,3, 4,4.66667, 3,3, 4,4.66667, 3.66667,5, 3,3, 3.66667,5, 3.33333,5, 3,3, 3.33333,5, 3,4.66667, 3,3, 3,4.66667, 3,3.33333, 1.5,2, 1.5,0.333333, 1.83333,0, 1.5,2, 1.83333,0, 2.16667,0, 1.5,2, 2.16667,0, 2.5,0.333333, 1.5,2, 2.5,0.333333, 2.5,2, 3,3.33333, 2.66667,3, 3,3,
0,0, 3.66667,0, 4,0.333333, 0,0, 4,0.333333, 4,0.666667, 0,0, 4,0.666667, 3.66667,1, 0,0, 3.66667,1, 1,1, 0,0, 1,1, 0,1, 0,1, 1,1, 4,3.66667, 0,1, 4,3.66667, 4,4, 0,1, 4,4, 3,4, 0,1, 3,4, 0,1.33333, 4,4, 4,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 3,4,
1,0, 1.66667,0, 2,0.333333, 1,0, 2,0.333333, 2,0.666667, 1,0, 2,0.666667, 1.66667,1, 1,0, 1.66667,1, 1,1, 1,1, 1,4, 1,5, 1,1, 1,5, 0,5, 1,1, 0,5, 0,0, 1,1, 0,0, 1,0, 1,4, 1.66667,4, 2,4.33333, 1,4, 2,4.33333, 2,4.66667, 1,4, 2,4.66667, 1.66667,5, 1,4, 1.66667,5, 1,5,
0.122008,4.58173, 0,4.12639, 2.16667,0.373612, 0.122008,4.58173, 2.16667,0.373612, 2.62201,0.251603, 0.122008,4.58173, 2.62201,0.251603, 2.91068,0.41827, 0.122008,4.58173, 2.91068,0.41827, 3.03269,0.873612, 0.122008,4.58173, 3.03269,0.873612, 0.866025,4.62639, 0.122008,4.58173, 0.866025,4.62639, 0.410684,4.7484,
1,0, 2,0, 2,5, 1,0, 2,5, 1,5, 1,0, 1,5, 1,4, 1,0, 1,4, 1,1, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 1,0, 1,5, 0.333333,5, 0,4.66667, 1,5, 0,4.66667, 0,4.33333, 1,5, 0,4.33333, 0.333333,4, 1,5, 0.333333,4, 1,4,
2.33333,4, 2.66667,4, 4,4, 2.33333,4, 4,4, 3,5, 2.33333,4, 3,5, 2,5, 2.33333,4, 2,5, 1,4, 2.66667,4, 3.66667,3, 4.02867,3.02867, 2.66667,4, 4.02867,3.02867, 4.30467,3.30467, 2.66667,4, 4.30467,3.30467, 4.33333,3.66667, 2.66667,4, 4.33333,3.66667, 4,4, 1.33333,3, 2.33333,4, 1,4, 1.33333,3, 1,4, 0.666667,3.66667, 1.33333,3, 0.666667,3.66667, 0.695333,3.30467, 1.33333,3, 0.695333,3.30467, 0.971333,3.02867,
4.5,0.666667, 4.16667,1, 0.333333,1, 4.5,0.666667, 0.333333,1, 0,0.666667, 4.5,0.666667, 0,0.666667, 0,0.333333, 4.5,0.666667, 0,0.333333, 0.333333,0, 4.5,0.666667, 0.333333,0, 4.16667,0, 4.5,0.666667, 4.16667,0, 4.5,0.333333,
-4.59243e-15,3, 0.333333,4, -4.65366e-15,4, 1,4.66667, 0.666667,5, 0.333333,5, 1,4.66667, 0.333333,5, -4.69448e-15,4.66667, 1,4.66667, -4.69448e-15,4.66667, -4.65366e-15,4, 1,4.66667, -4.65366e-15,4, 0.333333,4, 1,4.66667, 0.333333,4, 0.666667,4, 1,4.66667, 0.666667,4, 1,4.33333,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,2.66667, 0,1, 1,2.66667, 1,3, 0,1, 1,3, 1,4, 0,1, 1,4, 0,3, 1,0, 2.667,0, 2.667,1, 1,0, 2.667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,3, 1,2.66667, 1.33333,3, 1,3, 1.33333,3, 2.667,3, 1,3, 2.667,3, 2.667,4, 1,3, 2.667,4, 1,4, 2.667,0, 3.667,0, 3.667,1, 2.667,0, 3.667,1, 3.667,3, 2.667,0, 3.667,3, 3.667,4, 2.667,0, 3.667,4, 2.667,4, 2.667,0, 2.667,4, 2.667,3, 2.667,0, 2.667,3, 2.667,1,
0,0, 2.667,0, 2.667,1, 0,0, 2.667,1, 2.33367,1, 0,0, 2.33367,1, 1,1, 0,0, 1,1, 0,1, 1,1, 1,2.333, 1,3.333, 1,1, 1,3.333, 1,4.99967, 1,1, 1,4.99967, 0.666667,5.333, 1,1, 0.666667,5.333, 0.333333,5.333, 1,1, 0.333333,5.333, 0,4.99967, 1,1, 0,4.99967, 0,1, 1,2.333, 2.33367,2.333, 2.667,2.333, 1,2.333, 2.667,2.333, 2.667,3.333, 1,2.333, 2.667,3.333, 1,3.333, 2.667,0, 3.667,1, 3.667,2.333, 2.667,0, 3.667,2.333, 2.667,3.333, 2.667,0, 2.667,3.333, 2.667,2.333, 2.667,0, 2.667,2.333, 2.667,1.99967, 2.667,0, 2.667,1.99967, 2.667,1.33333, 2.667,0, 2.667,1.33333, 2.667,1, 2.33367,2.333, 2.667,1.99967, 2.667,2.333, 2.667,1.33333, 2.33367,1, 2.667,1,
0,1, 1,0, 3.00037,0, 0,1, 3.00037,0, 3.3337,0.333333, 0,1, 3.3337,0.333333, 3.3337,0.666667, 0,1, 3.3337,0.666667, 3.00037,1, 0,1, 3.00037,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,2.66667, 1,1, 1,2.66667, 1,3, 1,1, 1,3, 0,3, 1,1, 0,3, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,3, 1,2.66667, 1.33333,3, 1,3, 1.33333,3, 3.00037,3, 1,3, 3.00037,3, 3.3337,3.33333, 1,3, 3.3337,3.33333, 3.3337,3.66667, 1,3, 3.3337,3.66667, 3.00037,4, 1,3, 3.00037,4, 1,4, 1,3, 1,4, 0,3,
3.667,1, 2.667,1, 1.33333,1, 3.667,1, 1.33333,1, 1,1, 3.667,1, 1,1, 1,0, 3.667,1, 1,0, 3.667,0, 3.667,1, 3.667,4.99967, 3.33367,5.333, 3.667,1, 3.33367,5.333, 3.00033,5.333, 3.667,1, 3.00033,5.333, 2.667,4.99967, 3.667,1, 2.667,4.99967, 2.667,3.333, 3.667,1, 2.667,3.333, 2.667,2.333, 3.667,1, 2.667,2.333, 2.667,1, 2.667,3.333, 1,3.333, 1,2.333, 2.667,3.333, 1,2.333, 1.33333,2.333, 2.667,3.333, 1.33333,2.333, 2.667,2.333, 1,1, 1.33333,1, 1,1.33333, 1,1, 1,1.33333, 1,1.99967, 1,1, 1,1.99967, 1,2.333, 1,1, 1,2.333, 1,3.333, 1,1, 1,3.333, 0,2.333, 1,1, 0,2.333, 0,1, 1,1, 0,1, 1,0, 1,2.333, 1,1.99967, 1.33333,2.333,
0,1, 1,0, 3.33367,0, 0,1, 3.33367,0, 3.667,0.333333, 0,1, 3.667,0.333333, 3.667,0.666667, 0,1, 3.667,0.666667, 3.33367,1, 0,1, 3.33367,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,1.667, 0,1, 1,1.667, 0,1.667, 0,1.667, 1,1.667, 3.667,1.667, 0,1.667, 3.667,1.667, 3.667,2.667, 0,1.667, 3.667,2.667, 2.667,2.667, 0,1.667, 2.667,2.667, 1,2.667, 0,1.667, 1,2.667, 0,2.667, 0,2.667, 1,2.667, 1,3.00067, 0,2.667, 1,3.00067, 1,3.334, 0,2.667, 1,3.334, 0,3.334, 1,1, 1.33333,1, 1,1.33333, 1,3.334, 1,3.00067, 1.33333,3.334, 1,3.334, 1.33333,3.334, 2.33367,3.334, 1,3.334, 2.33367,3.334, 2.667,3.334, 1,3.334, 2.667,3.334, 3.667,3.334, 1,3.334, 3.667,3.334, 2.667,4.334, 1,3.334, 2.667,4.334, 1,4.334, 1,3.334, 1,4.334, 0,3.334, 3.667,2.667, 3.667,3.334, 2.667,3.334, 3.667,2.667, 2.667,3.334, 2.667,3.00067, 3.667,2.667, 2.667,3.00067, 2.667,2.667, 2.33367,3.334, 2.667,3.00067, 2.667,3.334,
1,2, 1,0.333333, 1.33333,0, 1,2, 1.33333,0, 1.66667,0, 1,2, 1.66667,0, 2,0.333333, 1,2, 2,0.333333, 2,2, 1,2, 2,2, 2,3, 1,2, 2,3, 2,3.33333, 1,2, 2,3.33333, 2,3.66667, 1,2, 2,3.66667, 2,4, 1,2, 2,4, 1,4, 1,2, 1,4, 1,3, 1,3, 0.333333,3, 0,2.66667, 1,3, 0,2.66667, 0,2.33333, 1,3, 0,2.33333, 0.333333,2, 1,3, 0.333333,2, 1,2, 2,2, 2.66667,2, 3,2.33333, 2,2, 3,2.33333, 3,2.66667, 2,2, 3,2.66667, 2.66667,3, 2,2, 2.66667,3, 2,3, 2,4, 2,3.66667, 2.33333,4, 2,4, 2.33333,4, 2.66667,4, 2,4, 2.66667,4, 3,4.33333, 2,4, 3,4.33333, 3,4.66667, 2,4, 3,4.66667, 2.66667,5, 2,4, 2.66667,5, 2,5, 2,4, 2,5, 1,4,
0,2.334, 1,1.334, 2.667,1.334, 0,2.334, 2.667,1.334, 3.667,1.334, 0,2.334, 3.667,1.334, 3.667,2.334, 0,2.334, 3.667,2.334, 2.667,2.334, 0,2.334, 2.667,2.334, 1.33333,2.334, 0,2.334, 1.33333,2.334, 1,2.334, 0,2.334, 1,2.334, 1,2.6674, 0,2.334, 1,2.6674, 1,3.001, 0,2.334, 1,3.001, 0,3.001, 1,2.334, 1.33333,2.334, 1,2.6674, 1,3.001, 1,2.6674, 1.33333,3.001, 1,3.001, 1.33333,3.001, 2.667,3.001, 1,3.001, 2.667,3.001, 3.667,3.001, 1,3.001, 3.667,3.001, 3.667,4.001, 1,3.001, 3.667,4.001, 1,4.001, 1,3.001, 1,4.001, 0,3.001, 2.667,-0.333, 2.667,0.667, 2.33367,0.667, 2.667,-0.333, 2.33367,0.667, 1.00033,0.667, 2.667,-0.333, 1.00033,0.667, 0.667,0.333667, 2.667,-0.333, 0.667,0.333667, 0.667,0.00033333, 2.667,-0.333, 0.667,0.00033333, 1.00033,-0.333, 2.667,-0.333, 3.667,0.667, 3.667,1.334, 2.667,-0.333, 3.667,1.334, 2.667,1.334, 2.667,-0.333, 2.667,1.334, 2.667,1.00033, 2.667,-0.333, 2.667,1.00033, 2.667,0.667, 2.667,2.334, 3.667,2.334, 3.667,3.001, 2.667,2.334, 3.667,3.001, 2.667,3.001, 2.667,1.00033, 2.33367,0.667, 2.667,0.667,
-4.91898e-15,2.333, 1,2.333, 2.33367,2.333, -4.91898e-15,2.333, 2.33367,2.333, 2.667,2.333, -4.91898e-15,2.333, 2.667,2.333, 3.667,2.333, -4.91898e-15,2.333, 3.667,2.333, 2.667,3.333, -4.91898e-15,2.333, 2.667,3.333, 1,3.333, -4.91898e-15,2.333, 1,3.333, -4.98021e-15,3.333, -4.91898e-15,2.333, -4.79653e-15,0.333333, 0.333333,0, -4.91898e-15,2.333, 0.333333,0, 0.666667,0, -4.91898e-15,2.333, 0.666667,0, 1,0.333333, -4.91898e-15,2.333, 1,0.333333, 1,2.333, 1,3.333, 1,4.99967, 0.666667,5.333, 1,3.333, 0.666667,5.333, 0.333333,5.333, 1,3.333, 0.333333,5.333, -5.08226e-15,4.99967, 1,3.333, -5.08226e-15,4.99967, -4.98021e-15,3.333, 2.667,2.333, 2.667,1.99967, 2.667,0.333333, 2.667,2.333, 2.667,0.333333, 3.00033,0, 2.667,2.333, 3.00033,0, 3.33367,0, 2.667,2.333, 3.33367,0, 3.667,0.333333, 2.667,2.333, 3.667,0.333333, 3.667,2.333, 2.33367,2.333, 2.667,1.99967, 2.667,2.333,
0.666667,0, 1,0.333333, 1,3.33267, 0.666667,0, 1,3.33267, 0.666667,3.666, 0.666667,0, 0.666667,3.666, 0.333333,3.666, 0.666667,0, 0.333333,3.666, 0,3.33267, 0.666667,0, 0,3.33267, 0,0.333333, 0.666667,0, 0,0.333333, 0.333333,0, 0,4.66633, 0.333333,4.333, 0.666667,4.333, 0,4.66633, 0.666667,4.333, 1,4.66633, 0,4.66633, 1,4.66633, 1,4.99967, 0,4.66633, 1,4.99967, 0.666667,5.333, 0,4.66633, 0.666667,5.333, 0.333333,5.333, 0,4.66633, 0.333333,5.333, 0,4.99967,
1,4.66633, 1.33333,4.333, 1.66667,4.333, 1,4.66633, 1.66667,4.333, 2,4.66633, 1,4.66633, 2,4.66633, 2,4.99967, 1,4.66633, 2,4.99967, 1.66667,5.333, 1,4.66633, 1.66667,5.333, 1.33333,5.333, 1,4.66633, 1.33333,5.333, 1,4.99967, 1,-0.333, 2,0.667, 2,3.33267, 1,-0.333, 2,3.33267, 1.66667,3.666, 1,-0.333, 1.66667,3.666, 1.33333,3.666, 1,-0.333, 1.33333,3.666, 1,3.33267, 1,-0.333, 1,3.33267, 1,1.00033, 1,-0.333, 1,1.00033, 1,0.667, 1,0.667, 0.666667,0.667, 0.333333,0.667, 1,0.667, 0.333333,0.667, 0,0.333667, 1,0.667, 0,0.333667, 0,0.00033333, 1,0.667, 0,0.00033333, 0.333333,-0.333, 1,0.667, 0.333333,-0.333, 1,-0.333, 1,1.00033, 0.666667,0.667, 1,0.667,
1,2.1666, 1.66667,2.1666, 2.66633,3.1347, 1,2.1666, 2.66633,3.1347, 2.66633,3.63463, 1,2.1666, 2.66633,3.63463, 1.99967,3.63463, 1,2.1666, 1.99967,3.63463, 1,2.63497, 1,1.66667, 2.66667,0, 3.33333,0, 1,1.66667, 3.33333,0, 3.33333,0.499933, 1,1.66667, 3.33333,0.499933, 1.66667,2.1666, 1,1.66667, 1.66667,2.1666, 1,2.1666, 1,2.63497, 1,4.66667, 0.666667,5, 1,2.63497, 0.666667,5, 0.333333,5, 1,2.63497, 0.333333,5, 0,4.66667, 1,2.63497, 0,4.66667, 0,0.333333, 1,2.63497, 0,0.333333, 0.333333,0, 1,2.63497, 0.333333,0, 0.666667,0, 1,2.63497, 0.666667,0, 1,0.333333, 1,2.63497, 1,0.333333, 1,1.66667, 1,2.63497, 1,1.66667, 1,2.1666,
0,1, 0,0.333333, 0.333333,0, 0,1, 0.333333,0, 1.66667,0, 0,1, 1.66667,0, 2,0.333333, 0,1, 2,0.333333, 2,0.666667, 0,1, 2,0.666667, 1.66667,1, 0,1, 1.66667,1, 1,1, 1,1, 1,4.99967, 0.666667,5.333, 1,1, 0.666667,5.333, 0.333333,5.333, 1,1, 0.333333,5.333, 0,4.99967, 1,1, 0,4.99967, 0,1,
0,3, 1,3, 1.667,3, 0,3, 1.667,3, 2.667,3, 0,3, 2.667,3, 3.00067,3, 0,3, 3.00067,3, 3.334,3, 0,3, 3.334,3, 4.334,3, 0,3, 4.334,3, 3.334,4, 0,3, 3.334,4, 0,4, 0,3, 0,0.333333, 0.333333,0, 0,3, 0.333333,0, 0.666667,0, 0,3, 0.666667,0, 1,0.333333, 0,3, 1,0.333333, 1,3, 1.667,3, 1.667,0.333333, 2.00033,0, 1.667,3, 2.00033,0, 2.33367,0, 1.667,3, 2.33367,0, 2.667,0.333333, 1.667,3, 2.667,0.333333, 2.667,3, 3.334,3, 3.334,2.66667, 3.334,0.333333, 3.334,3, 3.334,0.333333, 3.66733,0, 3.334,3, 3.66733,0, 4.00067,0, 3.334,3, 4.00067,0, 4.334,0.333333, 3.334,3, 4.334,0.333333, 4.334,3, 3.00067,3, 3.334,2.66667, 3.334,3,
0,3, 1,3, 2.33367,3, 0,3, 2.33367,3, 2.667,3, 0,3, 2.667,3, 2.667,4, 0,3, 2.667,4, 0,4, 0,3, 0,0.333333, 0.333333,0, 0,3, 0.333333,0, 0.666667,0, 0,3, 0.666667,0, 1,0.333333, 0,3, 1,0.333333, 1,3, 2.667,3, 2.667,2.66667, 2.667,0.333333, 2.667,3, 2.667,0.333333, 3.00033,0, 2.667,3, 3.00033,0, 3.33367,0, 2.667,3, 3.33367,0, 3.667,0.333333, 2.667,3, 3.667,0.333333, 3.667,3, 2.667,3, 3.667,3, 2.667,4, 2.33367,3, 2.667,2.66667, 2.667,3,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,2.66667, 0,1, 1,2.66667, 1,3, 0,1, 1,3, 1,4, 0,1, 1,4, 0,3, 1,0, 2.667,0, 2.667,1, 1,0, 2.667,1, 2.33367,1, 1,0, 2.33367,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,3, 1,2.66667, 1.33333,3, 1,3, 1.33333,3, 2.33367,3, 1,3, 2.33367,3, 2.667,3, 1,3, 2.667,3, 2.667,4, 1,3, 2.667,4, 1,4, 2.667,0, 3.667,1, 3.667,3, 2.667,0, 3.667,3, 2.667,4, 2.667,0, 2.667,4, 2.667,3, 2.667,0, 2.667,3, 2.667,2.66667, 2.667,0, 2.667,2.66667, 2.667,1.33333, 2.667,0, 2.667,1.33333, 2.667,1, 2.33367,3, 2.667,2.66667, 2.667,3, 2.667,1.33333, 2.33367,1, 2.667,1,
-5.20475e-15,1, 1,1, 2,1, -5.20475e-15,1, 2,1, 2.667,1, -5.20475e-15,1, 2.667,1, 3.667,2, -5.20475e-15,1, 3.667,2, 2.667,2, -5.20475e-15,1, 2.667,2, 2.33367,2, -5.20475e-15,1, 2.33367,2, 2,2, -5.20475e-15,1, 2,2, 1,2, -5.20475e-15,1, 1,2, -5.26598e-15,2, -5.20475e-15,1, -5.12315e-15,-0.332667, 0.333333,-0.666, -5.20475e-15,1, 0.333333,-0.666, 0.666667,-0.666, -5.20475e-15,1, 0.666667,-0.666, 1,-0.332667, -5.20475e-15,1, 1,-0.332667, 1,1, -5.26598e-15,2, 1,2, 1,3, -5.26598e-15,2, 1,3, -5.32721e-15,3, -5.32721e-15,3, 1,3, 2,3, -5.32721e-15,3, 2,3, 2.33367,3, -5.32721e-15,3, 2.33367,3, 2.667,3, -5.32721e-15,3, 2.667,3, 3.667,3, -5.32721e-15,3, 3.667,3, 2.667,4, -5.32721e-15,3, 2.667,4, 2,4, -5.32721e-15,3, 2,4, 1,4, -5.32721e-15,3, 1,4, -5.38845e-15,4, 2.667,2, 3.667,2, 3.667,3, 2.667,2, 3.667,3, 2.667,3, 2.667,2, 2.667,3, 2.667,2.66667, 2.667,2, 2.667,2.66667, 2.667,2.33333, 2.33367,3, 2.667,2.66667, 2.667,3, 2.667,2.33333, 2.33367,2, 2.667,2,
3.667,2, 2.667,2, 1.667,2, 3.667,2, 1.667,2, 1.33333,2, 3.667,2, 1.33333,2, 1,2, 3.667,2, 1,2, 0,2, 3.667,2, 0,2, 1,1, 3.667,2, 1,1, 1.667,1, 3.667,2, 1.667,1, 2.667,1, 3.667,2, 2.667,1, 3.667,1, 3.667,3, 2.667,3, 2.667,2, 3.667,3, 2.667,2, 3.667,2, 3.667,4, 2.667,4, 1.667,4, 3.667,4, 1.667,4, 1,4, 3.667,4, 1,4, 0,3, 3.667,4, 0,3, 1,3, 3.667,4, 1,3, 1.33333,3, 3.667,4, 1.33333,3, 1.667,3, 3.667,4, 1.667,3, 2.667,3, 3.667,4, 2.667,3, 3.667,3, 2.667,1, 2.667,-0.332667, 3.00033,-0.666, 2.667,1, 3.00033,-0.666, 3.33367,-0.666, 2.667,1, 3.33367,-0.666, 3.667,-0.332667, 2.667,1, 3.667,-0.332667, 3.667,1, 1,2, 1.33333,2, 1,2.33333, 1,3, 1,2.66667, 1.33333,3, 1,2.33333, 1,2.66667, 1,3, 1,2.33333, 1,3, 0,3, 1,2.33333, 0,3, 0,2, 1,2.33333, 0,2, 1,2,
1,3, 1,2.66667, 1.33333,3, 1,3.66667, 0.666667,4, 0.333333,4, 1,3.66667, 0.333333,4, 0,3.66667, 1,3.66667, 0,3.66667, 0,0.333333, 1,3.66667, 0,0.333333, 0.333333,0, 1,3.66667, 0.333333,0, 0.666667,0, 1,3.66667, 0.666667,0, 1,0.333333, 1,3.66667, 1,0.333333, 1,2.66667, 1,3.66667, 1,2.66667, 1,3, 1.33333,3, 2.66667,3, 3,3.33333, 1.33333,3, 3,3.33333, 3,3.66667, 1.33333,3, 3,3.66667, 2.66667,4, 1.33333,3, 2.66667,4, 1.33333,4, 1.33333,3, 1.33333,4, 1,3.66667, 1.33333,3, 1,3.66667, 1,3,
0,2.667, 1,1.667, 2.00067,1.667, 0,2.667, 2.00067,1.667, 2.334,1.667, 0,2.667, 2.334,1.667, 3.334,1.667, 0,2.667, 3.334,1.667, 2.334,2.667, 0,2.667, 2.334,2.667, 1.33333,2.667, 0,2.667, 1.33333,2.667, 1,2.667, 0,2.667, 1,2.667, 1,3.0006, 0,2.667, 1,3.0006, 1,3.334, 0,2.667, 1,3.334, 0,3.334, 1,2.667, 1.33333,2.667, 1,3.0006, 1,3.334, 1,3.0006, 1.33333,3.334, 1,3.334, 1.33333,3.334, 3.00067,3.334, 1,3.334, 3.00067,3.334, 3.334,3.66733, 1,3.334, 3.334,3.66733, 3.334,4.00067, 1,3.334, 3.334,4.00067, 3.00067,4.334, 1,3.334, 3.00067,4.334, 1,4.334, 1,3.334, 1,4.334, 0,3.334, 2.334,1, 3.334,1, 3.334,1.667, 2.334,1, 3.334,1.667, 2.334,1.667, 2.334,1, 2.334,1.667, 2.334,1.3336, 2.334,1, 2.00067,1, 0.333333,1, 2.334,1, 0.333333,1, 0,0.666667, 2.334,1, 0,0.666667, 0,0.333333, 2.334,1, 0,0.333333, 0.333333,0, 2.334,1, 0.333333,0, 2.334,0, 2.334,1, 2.334,0, 3.334,1, 2.00067,1.667, 2.334,1.3336, 2.334,1.667, 2.334,1.3336, 2.00067,1, 2.334,1,
1,1, 2,0, 2.66667,0, 1,1, 2.66667,0, 3,0.333333, 1,1, 3,0.333333, 3,0.666667, 1,1, 3,0.666667, 2.66667,1, 1,1, 2.66667,1, 2.33333,1, 1,1, 2.33333,1, 2,1, 2,1, 2.33333,1, 2,1.33333, 2,1, 2,1.33333, 2,2.667, 2,1, 2,2.667, 1,2.667, 2,1, 1,2.667, 1,1, 2,2.667, 2.66667,2.667, 3,3.00033, 2,2.667, 3,3.00033, 3,3.33367, 2,2.667, 3,3.33367, 2.66667,3.667, 2,2.667, 2.66667,3.667, 2,3.667, 2,2.667, 2,3.667, 1,3.667, 2,2.667, 1,3.667, 0.333333,3.667, 2,2.667, 0.333333,3.667, 0,3.33367, 2,2.667, 0,3.33367, 0,3.00033, 2,2.667, 0,3.00033, 0.333333,2.667, 2,2.667, 0.333333,2.667, 1,2.667, 2,3.667, 2,4.66667, 1.66667,5, 2,3.667, 1.66667,5, 1.33333,5, 2,3.667, 1.33333,5, 1,4.66667, 2,3.667, 1,4.66667, 1,3.667,
1,0, 2.667,0, 2.667,1, 1,0, 2.667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 0.666667,4, 1,1, 0.666667,4, 0.333333,4, 1,1, 0.333333,4, 0,3.66667, 1,1, 0,3.66667, 0,1, 1,1, 0,1, 1,0, 1,1, 1.33333,1, 1,1.33333, 2.667,0, 3.667,0, 3.667,3.66667, 2.667,0, 3.667,3.66667, 3.33367,4, 2.667,0, 3.33367,4, 3.00033,4, 2.667,0, 3.00033,4, 2.667,3.66667, 2.667,0, 2.667,3.66667, 2.667,1,
0,4, 0,3.66667, 1.5,0, 0,4, 1.5,0, 2,0, 0,4, 2,0, 2,1.33333, 0,4, 2,1.33333, 0.916,4, 2.5,0, 4,3.66667, 4,4, 2.5,0, 4,4, 3.084,4, 2.5,0, 3.084,4, 2,1.33333, 2.5,0, 2,1.33333, 2,0,
4.334,1, 3.334,1, 2.667,1, 4.334,1, 2.667,1, 1.667,1, 4.334,1, 1.667,1, 1.33333,1, 4.334,1, 1.33333,1, 1,1, 4.334,1, 1,1, 0,1, 4.334,1, 0,1, 1,0, 4.334,1, 1,0, 4.334,0, 4.334,1, 4.334,3.66667, 4.00067,4, 4.334,1, 4.00067,4, 3.66733,4, 4.334,1, 3.66733,4, 3.334,3.66667, 4.334,1, 3.334,3.66667, 3.334,1, 2.667,1, 2.667,3.66667, 2.33367,4, 2.667,1, 2.33367,4, 2.00033,4, 2.667,1, 2.00033,4, 1.667,3.66667, 2.667,1, 1.667,3.66667, 1.667,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 0.666667,4, 1,1, 0.666667,4, 0.333333,4, 1,1, 0.333333,4, 0,3.66667, 1,1, 0,3.66667, 0,1, 1.33333,1, 1,1.33333, 1,1,
0.599733,4.334, 0.333,4.06727, 0.333,3.66733, 0.599733,4.334, 0.333,3.66733, 1.66667,2.33333, 0.599733,4.334, 1.66667,2.33333, 2.33334,3.00033, 0.599733,4.334, 2.33334,3.00033, 0.999667,4.334, 4.06695,0.333, 4.33368,0.599733, 4.33368,0.999667, 4.06695,0.333, 4.33368,0.999667, 3.00001,2.33333, 4.06695,0.333, 3.00001,2.33333, 2.33334,1.66667, 4.06695,0.333, 2.33334,1.66667, 3.66701,0.333, 0.333,0.599733, 0.599733,0.333, 0.999667,0.333, 0.333,0.599733, 0.999667,0.333, 2.33334,1.66667, 0.333,0.599733, 2.33334,1.66667, 1.66667,2.33333, 0.333,0.599733, 1.66667,2.33333, 0.333,0.999667, 3.66701,4.334, 2.33334,3.00033, 3.00001,2.33333, 3.66701,4.334, 3.00001,2.33333, 4.33368,3.66733, 3.66701,4.334, 4.33368,3.66733, 4.33368,4.06727, 3.66701,4.334, 4.33368,4.06727, 4.06695,4.334, 2.33334,1.66667, 3.00001,2.33333, 2.33334,3.00033, 2.33334,1.66667, 2.33334,3.00033, 1.66667,2.33333,
0,2.334, 1,1.334, 2.667,1.334, 0,2.334, 2.667,1.334, 3.667,1.334, 0,2.334, 3.667,1.334, 3.667,2.334, 0,2.334, 3.667,2.334, 2.667,2.334, 0,2.334, 2.667,2.334, 1.33333,2.334, 0,2.334, 1.33333,2.334, 1,2.334, 1,2.334, 1,2.66733, 1,3.66667, 1,2.334, 1,3.66667, 0.666667,4, 1,2.334, 0.666667,4, 0.333333,4, 1,2.334, 0.333333,4, 0,3.66667, 1,2.334, 0,3.66667, 0,2.334, 1,2.334, 1.33333,2.334, 1,2.66733, 2.667,0.667, 3.667,0.667, 3.667,1.334, 2.667,0.667, 3.667,1.334, 2.667,1.334, 2.667,0.667, 2.667,1.334, 2.667,1.00033, 2.667,0.667, 2.33367,0.667, 0.333333,0.667, 2.667,0.667, 0.333333,0.667, 0,0.333667, 2.667,0.667, 0,0.333667, 0,0.00033333, 2.667,0.667, 0,0.00033333, 0.333333,-0.333, 2.667,0.667, 0.333333,-0.333, 2.667,-0.333, 2.667,0.667, 2.667,-0.333, 3.667,0.667, 3.667,2.334, 3.667,3.66667, 3.33367,4, 3.667,2.334, 3.33367,4, 3.00033,4, 3.667,2.334, 3.00033,4, 2.667,3.66667, 3.667,2.334, 2.667,3.66667, 2.667,2.334, 2.667,1.00033, 2.33367,0.667, 2.667,0.667,
0,0, 3.3335,0, 3.667,0.333333, 0,0, 3.667,0.333333, 3.667,0.666667, 0,0, 3.667,0.666667, 3.3335,1, 0,0, 3.3335,1, 1.33333,1, 0,0, 1.33333,1, 0,1, 3.667,4, 0.333333,4, 0,3.66667, 3.667,4, 0,3.66667, 0,3.33333, 3.667,4, 0,3.33333, 0.333333,3, 3.667,4, 0.333333,3, 2.33333,3, 3.667,4, 2.33333,3, 3.667,3, 1.33333,1, 3.667,3, 2.33333,3, 1.33333,1, 2.33333,3, 0,1,
1,2, 1,0.333333, 1.33333,0, 1,2, 1.33333,0, 2,0, 1,2, 2,0, 2,1, 1,2, 2,1, 2,4, 1,2, 2,4, 2,5, 1,2, 2,5, 1.33333,5, 1,2, 1.33333,5, 1,4.66667, 1,2, 1,4.66667, 1,3, 1,3, 0.333333,3, 0,2.66667, 1,3, 0,2.66667, 0,2.33333, 1,3, 0,2.33333, 0.333333,2, 1,3, 0.333333,2, 1,2, 2,0, 2.66667,0, 3,0.333333, 2,0, 3,0.333333, 3,0.666667, 2,0, 3,0.666667, 2.66667,1, 2,0, 2.66667,1, 2,1, 2,4, 2.66667,4, 3,4.33333, 2,4, 3,4.33333, 3,4.66667, 2,4, 3,4.66667, 2.66667,5, 2,4, 2.66667,5, 2,5,
0.333333,2.33333, 0,2, 0,0.333333, 0.333333,2.33333, 0,0.333333, 0.333333,0, 0.333333,2.33333, 0.333333,0, 0.666667,0, 0.333333,2.33333, 0.666667,0, 1,0.333333, 0.333333,2.33333, 1,0.333333, 1,2, 0.333333,2.33333, 1,2, 0.666667,2.33333, 0.666667,2.66667, 1,3, 1,4.66667, 0.666667,2.66667, 1,4.66667, 0.666667,5, 0.666667,2.66667, 0.666667,5, 0.333333,5, 0.666667,2.66667, 0.333333,5, 0,4.66667, 0.666667,2.66667, 0,4.66667, 0,3, 0.666667,2.66667, 0,3, 0.333333,2.66667,
2,2, 2.66667,2, 3,2.33333, 2,2, 3,2.33333, 3,2.66667, 2,2, 3,2.66667, 2.66667,3, 2,2, 2.66667,3, 2,3, 2,3, 2,4.66667, 1.66667,5, 2,3, 1.66667,5, 1,5, 2,3, 1,5, 1,4, 2,3, 1,4, 1,1, 2,3, 1,1, 1,0, 2,3, 1,0, 1.66667,0, 2,3, 1.66667,0, 2,0.333333, 2,3, 2,0.333333, 2,2, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 1,0, 1,5, 0.333333,5, 0,4.66667, 1,5, 0,4.66667, 0,4.33333, 1,5, 0,4.33333, 0.333333,4, 1,5, 0.333333,4, 1,4,
1,5, 0,4, 0,3.33333, 1,5, 0,3.33333, 0.666667,3.33333, 1,5, 0.666667,3.33333, 1.3334,4, 1,5, 1.3334,4, 1.33333,5, 2.66687,4, 1.6668,5, 1.33333,5, 2.66687,4, 1.33333,5, 1.3334,4, 1.3334,4, 2.33347,3, 2.66693,3, 1.3334,4, 2.66693,3, 2.66687,4, 3.00027,3, 4.00027,4, 4.00027,4.66667, 3.00027,3, 4.00027,4.66667, 3.3336,4.66667, 3.00027,3, 3.3336,4.66667, 2.66687,4, 3.00027,3, 2.66687,4, 2.66693,3,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,2, 0,1, 1,2, 0,2, 0,2, 1,2, 1,3, 0,2, 1,3, 0,3, 0,3, 1,3, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,0, 2,0, 2,1, 1,0, 2,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,5, 0,4, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2,4, 1,4, 2,4, 2,5, 1,4, 2,5, 1,5, 2,0, 3.33,0, 3.33,1, 2,0, 3.33,1, 2,1, 2,2, 2,1.5, 3.16333,1.5, 2,2, 3.16333,1.5, 3.33,1.66667, 2,2, 3.33,1.66667, 3.33,1.83333, 2,2, 3.33,1.83333, 3.16333,2, 2,2, 3.16333,2, 2.16667,2, 2,2, 1.5,2, 2,1.5, 2,2, 2.16667,2, 2,2.16667, 2,3, 2.16667,3, 3.16333,3, 2,3, 3.16333,3, 3.33,3.16667, 2,3, 3.33,3.16667, 3.33,3.33333, 2,3, 3.33,3.33333, 3.16333,3.5, 2,3, 3.16333,3.5, 2,3.5, 2,3, 2,2.83333, 2.16667,3, 2,4, 3.33,4, 3.33,5, 2,4, 3.33,5, 2,5, 3.33,0, 4,0, 4,1, 3.33,0, 4,1, 3.66667,1, 3.33,0, 3.66667,1, 3.33,1, 3.33,4, 3.66667,4, 4,4, 3.33,4, 4,4, 4,5, 3.33,4, 4,5, 3.33,5, 4,0, 5,1, 4,1, 4,1, 5,1, 5,2, 4,1, 5,2, 4,2, 4,1, 4,2, 4,1.33333, 4,2, 5,2, 5,3, 4,2, 5,3, 4,3, 4,4, 5,4, 4,5, 5,3, 5,4, 4,4, 5,3, 4,4, 4,3.66667, 5,3, 4,3.66667, 4,3, 3.66667,4, 4,3.66667, 4,4, 4,1.33333, 3.66667,1, 4,1, 2,3.5, 1.5,3, 2,3, 2,2.16667, 2,2.83333, 2,3, 2,2.16667, 2,3, 1.5,3, 2,2.16667, 1.5,3, 1.5,2, 2,2.16667, 1.5,2, 2,2,
]
| 107.456427
| 6,330
| 0.626631
| 27,133
| 98,645
| 2.278185
| 0.039951
| 0.020934
| 0.011696
| 0.006147
| 0.848999
| 0.57817
| 0.448474
| 0.28479
| 0.234801
| 0.194891
| 0
| 0.68927
| 0.095687
| 98,645
| 918
| 6,331
| 107.456427
| 0.003666
| 0.002352
| 0
| 0.44316
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| 0
| null | 0
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| 1
| 0
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| 0
| 0
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| 1
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| 0
| 1
| 1
| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
db0007f34e4ccfc49f896cf8bc6aa7de55fd3abd
| 93
|
py
|
Python
|
run_game.py
|
Gato-X/NotYourData
|
98bd79480795aa6b8ad480aa5c1779b3e8203624
|
[
"MIT"
] | null | null | null |
run_game.py
|
Gato-X/NotYourData
|
98bd79480795aa6b8ad480aa5c1779b3e8203624
|
[
"MIT"
] | null | null | null |
run_game.py
|
Gato-X/NotYourData
|
98bd79480795aa6b8ad480aa5c1779b3e8203624
|
[
"MIT"
] | null | null | null |
import gameowfication.__main__
if __name__ == "__main__":
gameowfication.__main__.main()
| 23.25
| 34
| 0.774194
| 9
| 93
| 6.222222
| 0.555556
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11828
| 93
| 3
| 35
| 31
| 0.682927
| 0
| 0
| 0
| 0
| 0
| 0.086022
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
db0a64e7781885e874f3ccb84365e2288764594e
| 52
|
py
|
Python
|
spacy_stanza/__init__.py
|
yuhaozhang/spacy-stanza
|
148d0219caf88b8a0de58c6b5c9d978ea5d50979
|
[
"MIT"
] | null | null | null |
spacy_stanza/__init__.py
|
yuhaozhang/spacy-stanza
|
148d0219caf88b8a0de58c6b5c9d978ea5d50979
|
[
"MIT"
] | null | null | null |
spacy_stanza/__init__.py
|
yuhaozhang/spacy-stanza
|
148d0219caf88b8a0de58c6b5c9d978ea5d50979
|
[
"MIT"
] | null | null | null |
# coding: utf8
from .language import StanzaLanguage
| 17.333333
| 36
| 0.807692
| 6
| 52
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022222
| 0.134615
| 52
| 2
| 37
| 26
| 0.911111
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
db12fde7ddc303fd4d635882b0b37c4590df1b03
| 65
|
py
|
Python
|
AppPkg/Applications/Python/Python-2.7.2/Lib/xml/etree/cElementTree.py
|
CEOALT1/RefindPlusUDK
|
116b957ad735f96fbb6d80a0ba582046960ba164
|
[
"BSD-2-Clause"
] | 2,757
|
2018-04-28T21:41:36.000Z
|
2022-03-29T06:33:36.000Z
|
AppPkg/Applications/Python/Python-2.7.2/Lib/xml/etree/cElementTree.py
|
CEOALT1/RefindPlusUDK
|
116b957ad735f96fbb6d80a0ba582046960ba164
|
[
"BSD-2-Clause"
] | 20
|
2019-07-23T15:29:32.000Z
|
2022-01-21T12:53:04.000Z
|
AppPkg/Applications/Python/Python-2.7.2/Lib/xml/etree/cElementTree.py
|
CEOALT1/RefindPlusUDK
|
116b957ad735f96fbb6d80a0ba582046960ba164
|
[
"BSD-2-Clause"
] | 449
|
2018-05-09T05:54:05.000Z
|
2022-03-30T14:54:18.000Z
|
# Wrapper module for _elementtree
from _elementtree import *
| 16.25
| 34
| 0.769231
| 7
| 65
| 6.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 65
| 3
| 35
| 21.666667
| 0.923077
| 0.476923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
db27e055baaec4aaefca2821b2382fb171a722ad
| 5,557
|
py
|
Python
|
test/test_inverse_dft.py
|
crispitagorico/Neural-SPDEs
|
99bab12cfecd626863b7f6d3eab879b3fd54e0f1
|
[
"Apache-2.0"
] | 6
|
2021-12-23T09:26:10.000Z
|
2022-02-16T08:24:23.000Z
|
test/test_inverse_dft.py
|
dungxibo123/Neural-SPDEs
|
99bab12cfecd626863b7f6d3eab879b3fd54e0f1
|
[
"Apache-2.0"
] | null | null | null |
test/test_inverse_dft.py
|
dungxibo123/Neural-SPDEs
|
99bab12cfecd626863b7f6d3eab879b3fd54e0f1
|
[
"Apache-2.0"
] | 2
|
2022-02-16T08:20:23.000Z
|
2022-03-31T08:54:59.000Z
|
import pytest
import torch
import numpy as np
from torchspde.fixed_point_solver import inverseDFTn
from torchspde.neural_spde import NeuralSPDE
@pytest.mark.parametrize("dim_phys, modes, dim_fft", (([4, 8], None, [2]),
([4, 8], None, [3]),
([4, 8], None, [2, 3]),
([14, 20], [8, 20], [2]),
([20, 14], [20, 8], [3]),
([14, 14], [8, 6], [2, 3])))
def test_inverseDFT1D(dim_phys, modes, dim_fft):
# create space-time grid of points
dim_x, dim_t = dim_phys[0], dim_phys[1]
gridt = torch.tensor(np.linspace(0, 1, dim_t), dtype=torch.float).reshape(1, dim_t).repeat(dim_x, 1)
gridx = torch.tensor(np.linspace(0, 1, dim_x+1)[:-1], dtype=torch.float).reshape(dim_x, 1).repeat(1, dim_t)
if dim_fft == [2, 3]:
grid = torch.stack([gridx, gridt], dim=-1)
elif dim_fft == [2]:
grid = gridx[:, 0].unsqueeze(-1)
elif dim_fft == [3]:
grid = gridt[0, :].unsqueeze(-1)
# determine whether we want to recover more points
if modes is None:
modes = dim_phys
s = None
else:
s = [dim_phys[i-2] for i in dim_fft]
# create tensor in spectral domain
batch, channels = 2, 4
u_ft = torch.rand(batch, channels, modes[0], modes[1], dtype=torch.complex64)
# compute the inverse DFT via our implementation and Pytorch's
ans_torch = torch.fft.ifftn(u_ft, dim=dim_fft, s=s)
ans_ours = inverseDFTn(u_ft, grid, dim=dim_fft, s=s)
# check answers
torch.testing.assert_allclose(ans_torch, ans_ours, rtol=1e-03, atol=1e-08)
@pytest.mark.parametrize("dim_phys, modes, dim_fft", (([4, 6, 8], None, [2, 3]),
([4, 6, 8], None, [4]),
([4, 6, 8], None, [2, 3, 4]),
([14, 16, 20], [8, 6, 20], [2, 3]),
([20, 16, 14], [20, 16, 8], [4]),
([14, 12, 14], [8, 6, 6], [2, 3, 4])))
def test_inverseDFT2D(dim_phys, modes, dim_fft):
# create space-time grid of points
dim_x, dim_y, dim_t = dim_phys[0], dim_phys[1], dim_phys[2]
gridt = torch.tensor(np.linspace(0, 1, dim_t), dtype=torch.float).reshape(1, 1, dim_t).repeat(dim_x, dim_y, 1)
gridx = torch.tensor(np.linspace(0, 1, dim_x+1)[:-1], dtype=torch.float).reshape(dim_x, 1, 1).repeat(1, dim_y, dim_t)
gridy = torch.tensor(np.linspace(0, 1, dim_y+1)[:-1], dtype=torch.float).reshape(1, dim_y, 1).repeat(dim_x, 1, dim_t)
if dim_fft == [2, 3, 4]:
grid = torch.stack([gridx, gridy, gridt], dim=-1)
elif dim_fft == [2, 3]:
grid = torch.stack([gridx[...,0], gridy[...,0]], dim=-1)
elif dim_fft == [4]:
grid = gridt[0,0,:].unsqueeze(-1)
# determine whether we want to recover more points
if modes is None:
modes = dim_phys
s = None
else:
s = [dim_phys[i-2] for i in dim_fft]
# create tensor in spectral domain
batch, channels = 2, 4
u_ft = torch.rand(batch, channels, modes[0], modes[1], modes[2], dtype=torch.complex64)
# compute the inverse DFT via our implementation and Pytorch's
ans_torch = torch.fft.ifftn(u_ft, dim=dim_fft, s=s)
ans_ours = inverseDFTn(u_ft, grid, dim=dim_fft, s=s)
# check answers
torch.testing.assert_allclose(ans_torch, ans_ours, rtol=1e-03, atol=1e-08)
def test_NSPDE_inverseDFT1D():
batch, dim_x, dim_t = 2, 32, 64
u0 = torch.rand(batch, 1, dim_x, dtype=torch.float32)
xi = torch.rand(batch, 1, dim_x, dim_t, dtype=torch.float32)
# create space-time grid of points
gridt = torch.tensor(np.linspace(0, 1, dim_t), dtype=torch.float32).reshape(1, 1, dim_t).repeat(batch, dim_x, 1)
gridx = torch.tensor(np.linspace(0, 1, dim_x+1)[:-1], dtype=torch.float32).reshape(1, dim_x, 1).repeat(batch, 1, dim_t)
grid = torch.stack([gridx, gridt], dim=-1)
model = NeuralSPDE(dim=1, in_channels=1, noise_channels=1, hidden_channels=16, n_iter=4, modes1=16, modes2=50).cuda()
out_physicsinformed = model(u0.cuda(), xi.cuda(), grid.cuda())
out = model(u0.cuda(), xi.cuda())
torch.testing.assert_allclose(out_physicsinformed, out, rtol=1e-03, atol=1e-08)
def test_NSPDE_inverseDFT2D():
batch, dim_x, dim_y, dim_t = 2, 32, 32, 10
u0 = torch.rand(batch, 1, dim_x, dim_y, dtype=torch.float32)
xi = torch.rand(batch, 1, dim_x, dim_y, dim_t, dtype=torch.float32)
# create space-time grid of points
gridt = torch.tensor(np.linspace(0, 1, dim_t), dtype=torch.float32).reshape(1, 1, 1, dim_t).repeat(batch, dim_x, dim_y, 1)
gridx = torch.tensor(np.linspace(0, 1, dim_x+1)[:-1], dtype=torch.float32).reshape(1, dim_x, 1, 1).repeat(batch, 1, dim_y, dim_t)
gridy = torch.tensor(np.linspace(0, 1, dim_y+1)[:-1], dtype=torch.float32).reshape(1, 1, dim_y, 1).repeat(batch, dim_x, 1, dim_t)
grid = torch.stack([gridx, gridy, gridt], dim=-1)
model = NeuralSPDE(dim=2, in_channels=1, noise_channels=1, hidden_channels=8, n_iter=4, modes1=8, modes2=8, modes3=8).cuda()
out_physicsinformed = model(u0.cuda(), xi.cuda(), grid.cuda())
out = model(u0.cuda(), xi.cuda())
torch.testing.assert_allclose(out_physicsinformed, out, rtol=1e-03, atol=1e-08)
| 45.54918
| 133
| 0.57603
| 871
| 5,557
| 3.535017
| 0.138921
| 0.037675
| 0.019487
| 0.068204
| 0.860019
| 0.834687
| 0.806755
| 0.766807
| 0.665476
| 0.631699
| 0
| 0.069278
| 0.264891
| 5,557
| 121
| 134
| 45.92562
| 0.684455
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| 0.049383
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| 0.049383
| false
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| null | 0
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| 0
| 0
|
0
| 5
|
db3773fd3299b92b1a0b159263f174fe765bda3f
| 56
|
py
|
Python
|
third_party/PSM/dataloader/__init__.py
|
zwxu064/RANP
|
92135583e0ced21fa5634823b289c5aea366de21
|
[
"MIT"
] | 9
|
2020-11-17T08:44:55.000Z
|
2022-02-14T12:02:32.000Z
|
third_party/PSM/dataloader/__init__.py
|
zwxu064/RANP
|
92135583e0ced21fa5634823b289c5aea366de21
|
[
"MIT"
] | null | null | null |
third_party/PSM/dataloader/__init__.py
|
zwxu064/RANP
|
92135583e0ced21fa5634823b289c5aea366de21
|
[
"MIT"
] | 1
|
2021-03-17T02:34:12.000Z
|
2021-03-17T02:34:12.000Z
|
import sys
sys.path.append('third_party/PSM/dataloader')
| 28
| 45
| 0.821429
| 9
| 56
| 5
| 0.888889
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0.035714
| 56
| 2
| 45
| 28
| 0.833333
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| 0.45614
| 0.45614
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| null | 0
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| null | 0
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| 0
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| 1
| 0
| 0
| 0
|
0
| 5
|
c018fcc2c5a2cf7549c1e7c971572f0002456217
| 8,584
|
py
|
Python
|
migrations/versions/b044e7136f16_.py
|
necipcanguler/LuckSend-Api
|
e7e71a7371af8e9f17dd41306a7de034971331f1
|
[
"MIT"
] | null | null | null |
migrations/versions/b044e7136f16_.py
|
necipcanguler/LuckSend-Api
|
e7e71a7371af8e9f17dd41306a7de034971331f1
|
[
"MIT"
] | null | null | null |
migrations/versions/b044e7136f16_.py
|
necipcanguler/LuckSend-Api
|
e7e71a7371af8e9f17dd41306a7de034971331f1
|
[
"MIT"
] | null | null | null |
"""empty message
Revision ID: b044e7136f16
Revises:
Create Date: 2019-07-18 23:50:12.783402
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b044e7136f16'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('admin_users',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('user_name', sa.String(), nullable=False),
sa.Column('mail_address', sa.String(), nullable=False),
sa.Column('password_hash', sa.String(), nullable=False),
sa.Column('master', sa.Boolean(), nullable=False),
sa.Column('is_active', sa.Boolean(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.Column('last_update', sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('mail_address'),
sa.UniqueConstraint('user_name')
)
op.create_table('countries',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('country_code', sa.String(), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_table('countrymultilang',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('multi_code', sa.String(), nullable=True),
sa.Column('country_code', sa.String(), nullable=False),
sa.Column('country_name', sa.String(), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_table('deviceinformation',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('brand', sa.String(), nullable=False),
sa.Column('model', sa.String(), nullable=False),
sa.Column('release', sa.String(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_table('tags',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('tag_name', sa.String(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_table('users',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('mail_adress', sa.String(), nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('profile_picture', sa.String(), nullable=False),
sa.Column('local', sa.String(), nullable=False),
sa.Column('provider_name', sa.String(), nullable=False),
sa.Column('provider_id', sa.String(), nullable=False),
sa.Column('id_share', sa.String(), nullable=False),
sa.Column('is_active', sa.Boolean(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.Column('last_update', sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('id_share')
)
op.create_table('versions',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('versions_name', sa.String(), nullable=False),
sa.Column('versions_description', sa.String(), nullable=True),
sa.Column('versions_code', sa.String(), nullable=False),
sa.Column('versions_secret_key', sa.String(), nullable=False),
sa.Column('contact_secret_key', sa.String(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.Column('expiration', sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint('id')
)
op.create_table('feedbacks',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('description', sa.String(), nullable=False),
sa.Column('read', sa.Boolean(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.Column('last_update', sa.DateTime(), nullable=False),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_table('keys',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('key', sa.String(), nullable=False),
sa.Column('device_key', sa.String(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.Column('expiration', sa.DateTime(), nullable=False),
sa.Column('device_information_id', sa.Integer(), nullable=False),
sa.ForeignKeyConstraint(['device_information_id'], ['deviceinformation.id'], ),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_table('logs',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('ip_address', sa.String(), nullable=False),
sa.Column('action', sa.String(), nullable=False),
sa.Column('data', sa.JSON(), nullable=True),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_table('participants',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('raffle_id', sa.Integer(), nullable=False),
sa.Column('date', sa.DateTime(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_table('raffles',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('id_share', sa.String(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('title', sa.String(), nullable=False),
sa.Column('contact_information', sa.String(), nullable=False),
sa.Column('description', sa.String(), nullable=False),
sa.Column('expiration', sa.DateTime(), nullable=False),
sa.Column('status', sa.Boolean(), nullable=False),
sa.Column('processing', sa.Boolean(), nullable=False),
sa.Column('completed', sa.Boolean(), nullable=False),
sa.Column('delete', sa.Boolean(), nullable=False),
sa.Column('disable', sa.Boolean(), nullable=False),
sa.Column('winners', sa.Integer(), nullable=False),
sa.Column('reserves', sa.Integer(), nullable=False),
sa.Column('raffle_date', sa.DateTime(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.Column('last_update', sa.DateTime(), nullable=False),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('id_share')
)
op.create_table('countrytargets',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('country_id', sa.Integer(), nullable=False),
sa.Column('raffle_id', sa.Integer(), nullable=False),
sa.ForeignKeyConstraint(['country_id'], ['countries.id'], ),
sa.ForeignKeyConstraint(['raffle_id'], ['raffles.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_table('luckys',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('user_id', sa.Integer(), nullable=False),
sa.Column('raffles_id', sa.Integer(), nullable=False),
sa.Column('secret_key', sa.String(), nullable=False),
sa.Column('status', sa.Boolean(), nullable=False),
sa.Column('check_key', sa.Boolean(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.ForeignKeyConstraint(['raffles_id'], ['raffles.id'], ),
sa.ForeignKeyConstraint(['user_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('secret_key')
)
op.create_table('tagtargets',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('tag_id', sa.Integer(), nullable=False),
sa.Column('raffle_id', sa.Integer(), nullable=False),
sa.Column('creation_date', sa.DateTime(), nullable=False),
sa.ForeignKeyConstraint(['raffle_id'], ['raffles.id'], ),
sa.ForeignKeyConstraint(['tag_id'], ['tags.id'], ),
sa.PrimaryKeyConstraint('id')
)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table('tagtargets')
op.drop_table('luckys')
op.drop_table('countrytargets')
op.drop_table('raffles')
op.drop_table('participants')
op.drop_table('logs')
op.drop_table('keys')
op.drop_table('feedbacks')
op.drop_table('versions')
op.drop_table('users')
op.drop_table('tags')
op.drop_table('deviceinformation')
op.drop_table('countrymultilang')
op.drop_table('countries')
op.drop_table('admin_users')
# ### end Alembic commands ###
| 42.706468
| 83
| 0.666473
| 1,061
| 8,584
| 5.286522
| 0.108388
| 0.138349
| 0.251382
| 0.295775
| 0.807096
| 0.795686
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| 0.623997
| 0.597433
| 0.56445
| 0
| 0.005138
| 0.138397
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| 200
| 84
| 42.92
| 0.753245
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| 0.005082
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| 0.010989
| false
| 0.005495
| 0.010989
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| null | 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
220d91023964e9c402b3169ae8ed38879dbeba31
| 278
|
py
|
Python
|
PyPoE/index_dat.py
|
erosson/PyPoE
|
314fb3f6814dd8cf248c7a15d5fffe3bf5cddcaa
|
[
"MIT"
] | 2
|
2021-02-02T15:44:21.000Z
|
2021-08-23T22:08:26.000Z
|
PyPoE/index_dat.py
|
erosson/PyPoE
|
314fb3f6814dd8cf248c7a15d5fffe3bf5cddcaa
|
[
"MIT"
] | 7
|
2021-01-07T22:15:37.000Z
|
2021-01-15T16:47:26.000Z
|
third-party/PyPoE/PyPoE/index_dat.py
|
erosson/pypoe-json
|
7b3ddc8dc310c580c3e75c4835389c1204936206
|
[
"MIT"
] | null | null | null |
# Generate a list of all .dat file names, based on PyPoE specifications.
# Run me from the PyPoE package directory! `scripts/dist` copies me there.
from poe.file.specification.data.stable import specification
import json
print(json.dumps(list(specification.keys()), indent=4))
| 39.714286
| 74
| 0.784173
| 42
| 278
| 5.190476
| 0.785714
| 0
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| 0
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| 0.122302
| 278
| 6
| 75
| 46.333333
| 0.889344
| 0.514388
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| 0.333333
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| null | 0
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| null | 0
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| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
22237bc00ccf728d8c0d5e4e81af8e43b7f8d192
| 357
|
py
|
Python
|
tests/manual_tests/manual_test_all_modes.py
|
rvbCMTS/PySkinDose
|
690c758da291e28245d4bc136cda857e405d50a7
|
[
"MIT"
] | 7
|
2021-01-22T17:40:01.000Z
|
2022-03-31T17:16:55.000Z
|
tests/manual_tests/manual_test_all_modes.py
|
rvbCMTS/PySkinDose
|
690c758da291e28245d4bc136cda857e405d50a7
|
[
"MIT"
] | 27
|
2020-10-11T10:40:03.000Z
|
2022-03-31T13:13:02.000Z
|
tests/manual_tests/manual_test_all_modes.py
|
rvbCMTS/PySkinDose
|
690c758da291e28245d4bc136cda857e405d50a7
|
[
"MIT"
] | 3
|
2021-03-30T04:08:03.000Z
|
2022-03-11T11:16:30.000Z
|
import manual_test_plot_setup
import manual_test_plot_event
import manual_test_calculate_dose_static
import manual_test_calculate_dose_interactive
import manual_test_plot_procedure
manual_test_plot_setup
manual_test_plot_event
manual_test_plot_procedure
manual_test_calculate_dose_static
manual_test_calculate_dose_interactive
print('all modes executed')
| 25.5
| 45
| 0.932773
| 53
| 357
| 5.641509
| 0.283019
| 0.334448
| 0.280936
| 0.307692
| 0.648829
| 0.220736
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056022
| 357
| 13
| 46
| 27.461538
| 0.88724
| 0
| 0
| 0
| 0
| 0
| 0.05042
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.454545
| 0
| 0.454545
| 0.090909
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
224bc7b1b4aab269d22b40cbe13affbdb11728a4
| 47
|
py
|
Python
|
src/textform/common.py
|
hawkfish/textform
|
d2859f799291739d3289d323102a0eb6a70fd8fd
|
[
"MIT"
] | 4
|
2021-07-19T18:14:35.000Z
|
2021-09-17T07:31:50.000Z
|
src/textform/common.py
|
hawkfish/textform
|
d2859f799291739d3289d323102a0eb6a70fd8fd
|
[
"MIT"
] | 11
|
2021-04-14T16:12:23.000Z
|
2021-09-08T18:33:13.000Z
|
src/textform/common.py
|
hawkfish/textform
|
d2859f799291739d3289d323102a0eb6a70fd8fd
|
[
"MIT"
] | null | null | null |
class TransformException(Exception):
pass
| 11.75
| 36
| 0.765957
| 4
| 47
| 9
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170213
| 47
| 3
| 37
| 15.666667
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
2266a98e9ec95800e7a4990207ec771a7455b880
| 231
|
py
|
Python
|
temple/views.py
|
almazkun/templating
|
01eb645af03abec372c46ef318277b2305f6a90a
|
[
"MIT"
] | null | null | null |
temple/views.py
|
almazkun/templating
|
01eb645af03abec372c46ef318277b2305f6a90a
|
[
"MIT"
] | null | null | null |
temple/views.py
|
almazkun/templating
|
01eb645af03abec372c46ef318277b2305f6a90a
|
[
"MIT"
] | 1
|
2022-01-12T11:09:38.000Z
|
2022-01-12T11:09:38.000Z
|
from django.shortcuts import render
# Create your views here.
def x(request):
return render(request, 'x.html')
def y(request):
return render(request, 'y.html')
def omg(request):
return render(request, 'omicron.html')
| 21
| 42
| 0.705628
| 33
| 231
| 4.939394
| 0.515152
| 0.239264
| 0.349693
| 0.478528
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164502
| 231
| 11
| 42
| 21
| 0.84456
| 0.099567
| 0
| 0
| 0
| 0
| 0.115942
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0
| 0.142857
| 0.428571
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
22706ed21404eccd26d4b6a741f3053232b7abe8
| 166
|
py
|
Python
|
benchmark/helpers.py
|
GrAndSE/lighty-template
|
63834fbb2421506205745bb596ff8ac726361f2a
|
[
"BSD-3-Clause"
] | 1
|
2018-05-09T19:56:15.000Z
|
2018-05-09T19:56:15.000Z
|
benchmark/helpers.py
|
GrAndSE/lighty-template
|
63834fbb2421506205745bb596ff8ac726361f2a
|
[
"BSD-3-Clause"
] | null | null | null |
benchmark/helpers.py
|
GrAndSE/lighty-template
|
63834fbb2421506205745bb596ff8ac726361f2a
|
[
"BSD-3-Clause"
] | null | null | null |
def print_time(name, results):
print '\n%s:' % name
for exec_time in results:
print ' ', exec_time
print ' ', sum(results) / len(results), '\n'
| 27.666667
| 48
| 0.578313
| 23
| 166
| 4.043478
| 0.521739
| 0.258065
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.26506
| 166
| 5
| 49
| 33.2
| 0.762295
| 0
| 0
| 0
| 0
| 0
| 0.066265
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.8
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
97db66a89aee6b980411dd6e7f52adf342e1dcd9
| 278
|
py
|
Python
|
prawKeys.py
|
Rohan-Dawar/city-guessr
|
bba3002c5647b3f166bb93ebb3ca02d36c04bbbd
|
[
"MIT"
] | null | null | null |
prawKeys.py
|
Rohan-Dawar/city-guessr
|
bba3002c5647b3f166bb93ebb3ca02d36c04bbbd
|
[
"MIT"
] | null | null | null |
prawKeys.py
|
Rohan-Dawar/city-guessr
|
bba3002c5647b3f166bb93ebb3ca02d36c04bbbd
|
[
"MIT"
] | null | null | null |
import praw, os
reddit = praw.Reddit(
client_id = os.environ.get('client_id'),
client_secret = os.environ.get('client_secret'),
username = os.environ.get('username'),
password = os.environ.get('password'),
user_agent = os.environ.get('user_agent'))
| 30.888889
| 53
| 0.661871
| 37
| 278
| 4.810811
| 0.351351
| 0.252809
| 0.337079
| 0.202247
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179856
| 278
| 8
| 54
| 34.75
| 0.780702
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.142857
| 0.142857
| 0
| 0.142857
| 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
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
97fc56ab27ba3ce9603894eaca05941a3e31f7b5
| 109
|
py
|
Python
|
cassiopeia/dto/common.py
|
Canisback/cassiopeia
|
2e4a759d4aadc07f743d1e167d9ecaa1709e50c9
|
[
"MIT"
] | null | null | null |
cassiopeia/dto/common.py
|
Canisback/cassiopeia
|
2e4a759d4aadc07f743d1e167d9ecaa1709e50c9
|
[
"MIT"
] | null | null | null |
cassiopeia/dto/common.py
|
Canisback/cassiopeia
|
2e4a759d4aadc07f743d1e167d9ecaa1709e50c9
|
[
"MIT"
] | null | null | null |
class DtoObject(dict):
@property
def __dict__(self):
return {k: v for k, v in self.items()}
| 18.166667
| 46
| 0.59633
| 16
| 109
| 3.8125
| 0.75
| 0.065574
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.275229
| 109
| 5
| 47
| 21.8
| 0.772152
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
3f0dd049082f42887aad1a53a4a0d89c2a4c624c
| 154
|
py
|
Python
|
generators/generator.py
|
kwyckmans/python-mazes
|
be992077b3d802c6b8618b15c14c20bb30ed0ad9
|
[
"Unlicense"
] | null | null | null |
generators/generator.py
|
kwyckmans/python-mazes
|
be992077b3d802c6b8618b15c14c20bb30ed0ad9
|
[
"Unlicense"
] | null | null | null |
generators/generator.py
|
kwyckmans/python-mazes
|
be992077b3d802c6b8618b15c14c20bb30ed0ad9
|
[
"Unlicense"
] | null | null | null |
from typing import Protocol
from core.grid import Grid
class Generator(Protocol):
@staticmethod
def on(grid: Grid) -> Grid:
return grid
| 17.111111
| 31
| 0.694805
| 20
| 154
| 5.35
| 0.6
| 0.149533
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.233766
| 154
| 8
| 32
| 19.25
| 0.90678
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
58c647712054a02f62ebab2ecef4437655363d1a
| 12,348
|
py
|
Python
|
src/config/svc-monitor/svc_monitor/tests/test_virtual_machine_manager.py
|
jnpr-pranav/contrail-controller
|
428eee37c28c31830fd764315794e1a6e52720c1
|
[
"Apache-2.0"
] | 37
|
2020-09-21T10:42:26.000Z
|
2022-01-09T10:16:40.000Z
|
src/config/svc-monitor/svc_monitor/tests/test_virtual_machine_manager.py
|
jnpr-pranav/contrail-controller
|
428eee37c28c31830fd764315794e1a6e52720c1
|
[
"Apache-2.0"
] | null | null | null |
src/config/svc-monitor/svc_monitor/tests/test_virtual_machine_manager.py
|
jnpr-pranav/contrail-controller
|
428eee37c28c31830fd764315794e1a6e52720c1
|
[
"Apache-2.0"
] | 21
|
2020-08-25T12:48:42.000Z
|
2022-03-22T04:32:18.000Z
|
from __future__ import absolute_import
import mock
import unittest
from vnc_api.vnc_api import *
from svc_monitor.virtual_machine_manager import VirtualMachineManager
from svc_monitor.config_db import *
from . import test_common_utils as test_utils
class VirtualMachineManagerTest(unittest.TestCase):
def setUp(self):
VirtualMachineSM._object_db = mock.MagicMock()
VirtualMachineSM._object_db.object_read = test_utils.vm_db_read
VirtualMachineInterfaceSM._object_db = mock.MagicMock()
VirtualMachineInterfaceSM._object_db.object_read = test_utils.vmi_db_read
InstanceIpSM._object_db = mock.MagicMock()
InstanceIpSM._object_db.object_read = test_utils.iip_db_read
InterfaceRouteTableSM._object_db = mock.MagicMock()
InterfaceRouteTableSM._object_db.object_read = test_utils.irt_db_read
self.mocked_vnc = mock.MagicMock()
self.mocked_vnc.fq_name_to_id = test_utils.get_vn_id_for_fq_name
self.mocked_vnc.virtual_network_create = test_utils.vn_create
self.mocked_vnc.virtual_machine_interface_create = test_utils.vmi_create
self.mocked_vnc.instance_ip_create = test_utils.iip_create
self.nova_mock = mock.MagicMock()
self.mocked_db = mock.MagicMock()
self.mocked_args = mock.MagicMock()
self.mocked_args.availability_zone = 'default-availability-zone'
self.log_mock = mock.MagicMock()
self.vm_manager = VirtualMachineManager(
db=self.mocked_db, logger=self.log_mock,
vnc_lib=self.mocked_vnc, vrouter_scheduler=mock.MagicMock(),
nova_client=self.nova_mock, args=self.mocked_args,
agent_manager=mock.MagicMock())
def tearDown(self):
ServiceTemplateSM.reset()
ServiceInstanceSM.reset()
InstanceIpSM.reset()
VirtualMachineInterfaceSM.reset()
VirtualMachineSM.reset()
del InterfaceRouteTableSM._object_db
del VirtualMachineSM._object_db
def test_virtual_machine_create(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'servers' and oper == 'create':
nova_vm = test_utils.FakeNovaServer('fake-vm-uuid', kwargs['name'])
return nova_vm
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
self.vm_manager.create_service(st, si)
self.mocked_vnc.virtual_machine_create.assert_any_call(test_utils.VMObjMatcher(1))
self.mocked_vnc.virtual_machine_create.assert_any_call(test_utils.VMObjMatcher(2))
self.assertTrue(si.availability_zone, 'default-availability-zone')
def test_virtual_machine_delete(self):
vm = test_utils.create_test_virtual_machine('fake-vm-uuid')
self.vm_manager.delete_service(vm)
def test_missing_image_in_template(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
st.params['image_name'] = None
self.vm_manager.create_service(st, si)
self.log_mock.error.assert_called_with("Image not present in %s" % ((':').join(st.fq_name)))
def test_missing_image_in_nova(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'images' and oper == 'find':
return None
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
self.vm_manager.create_service(st, si)
self.log_mock.error.assert_called_with("Image not found %s" % si.image)
def test_nova_vm_create_fail(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'servers' and oper == 'create':
return None
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
self.vm_manager.create_service(st, si)
self.log_mock.error.assert_any_call(test_utils.AnyStringWith('Nova vm create failed'))
def test_missing_flavor_in_template(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'flavors' and oper == 'find':
return None
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
st.params['flavor'] = None
self.vm_manager.create_service(st, si)
self.log_mock.error.assert_called_with(test_utils.AnyStringWith("Flavor not found"))
def test_availability_zone_setting(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'servers' and oper == 'create':
nova_vm = test_utils.FakeNovaServer('fake-vm-uuid', kwargs['name'])
return nova_vm
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
st.params['availability_zone_enable'] = True
si.params['availability_zone'] = 'test-availability-zone'
self.vm_manager.create_service(st, si)
self.assertTrue(si.availability_zone, 'test-availability-zone')
def test_network_config_validation(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
st.params['interface_type'] = []
self.vm_manager.create_service(st, si)
self.log_mock.notice.assert_called_with("Interface list empty for ST %s SI %s" %
((':').join(st.fq_name), (':').join(si.fq_name)))
def test_virtual_machine_exists(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'servers' and oper == 'create':
nova_vm = test_utils.FakeNovaServer(kwargs['name'], kwargs['name'])
return nova_vm
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
self.mocked_vnc.virtual_machine_create = test_utils.vm_create
self.vm_manager.create_service(st, si)
self.log_mock.info.assert_any_call(test_utils.AnyStringWith('Launching VM :'))
self.log_mock.info.assert_any_call(test_utils.AnyStringWith('Created VM :'))
self.log_mock.info.assert_any_call(test_utils.AnyStringWith(si.name))
self.log_mock.reset_mock()
self.vm_manager.create_service(st, si)
self.assertTrue(self.log_mock.info.call_count, 1)
def test_virtual_machine_static_routes(self):
test_utils.create_test_project('fake-domain:fake-project')
test_utils.create_test_security_group('fake-domain:fake-project:default')
test_utils.create_test_virtual_network('fake-domain:fake-project:left-vn')
test_utils.create_test_virtual_network('fake-domain:fake-project:right-vn')
st = test_utils.create_test_st(name='vm-template',
virt_type='virtual-machine',
intf_list=[['management', False], ['left', True, True], ['right', False]])
si = test_utils.create_test_si(name='vm-instance', count=2,
intf_list=['', 'left-vn', 'right-vn'])
def nova_oper(resource, oper, proj_name, **kwargs):
if resource == 'servers' and oper == 'create':
nova_vm = test_utils.FakeNovaServer('fake-vm-uuid', kwargs['name'])
return nova_vm
else:
return mock.MagicMock()
self.nova_mock.oper = nova_oper
self.vm_manager.create_service(st, si)
self.mocked_vnc.virtual_machine_create.assert_any_call(test_utils.VMObjMatcher(1))
self.mocked_vnc.virtual_machine_create.assert_any_call(test_utils.VMObjMatcher(2))
| 48.234375
| 100
| 0.672012
| 1,586
| 12,348
| 4.927491
| 0.08575
| 0.089827
| 0.105566
| 0.133717
| 0.778247
| 0.734613
| 0.713372
| 0.713372
| 0.713372
| 0.702111
| 0
| 0.001425
| 0.204406
| 12,348
| 255
| 101
| 48.423529
| 0.794076
| 0
| 0
| 0.646226
| 0
| 0
| 0.177357
| 0.097749
| 0
| 0
| 0
| 0
| 0.070755
| 1
| 0.089623
| false
| 0
| 0.033019
| 0
| 0.193396
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
58e92b891392076f93da6720348db7c0acc3d38b
| 41
|
py
|
Python
|
tests/__init__.py
|
brobertson/lacebuilder
|
56bf8c9ae074db5f4a50562d58e5c70b563c1170
|
[
"BSD-3-Clause"
] | 1
|
2021-01-26T15:22:59.000Z
|
2021-01-26T15:22:59.000Z
|
tests/__init__.py
|
brobertson/lacebuilder
|
56bf8c9ae074db5f4a50562d58e5c70b563c1170
|
[
"BSD-3-Clause"
] | 4
|
2021-01-30T20:23:22.000Z
|
2021-05-25T21:31:12.000Z
|
tests/__init__.py
|
brobertson/lacebuilder
|
56bf8c9ae074db5f4a50562d58e5c70b563c1170
|
[
"BSD-3-Clause"
] | null | null | null |
"""Unit test package for lacebuilder."""
| 20.5
| 40
| 0.707317
| 5
| 41
| 5.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 41
| 1
| 41
| 41
| 0.805556
| 0.829268
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
450ce8ff1e4615b8ac8a9f68bf1c5b2fd5070df0
| 191
|
py
|
Python
|
authoritarian/__init__.py
|
michaeljoseph/authoritarian
|
e19b36d29a4a0b102fbd1024a1cbf6596635d81d
|
[
"Unlicense"
] | null | null | null |
authoritarian/__init__.py
|
michaeljoseph/authoritarian
|
e19b36d29a4a0b102fbd1024a1cbf6596635d81d
|
[
"Unlicense"
] | 1
|
2015-03-31T11:39:22.000Z
|
2015-08-15T09:24:09.000Z
|
authoritarian/__init__.py
|
michaeljoseph/authoritarian
|
e19b36d29a4a0b102fbd1024a1cbf6596635d81d
|
[
"Unlicense"
] | null | null | null |
__version__ = '0.0.1'
__author__ = 'Michael Joseph'
from .api import initialise, account_status, search, results, config
hush_pyflakes = initialise, account_status, search, results, config
| 27.285714
| 68
| 0.780105
| 24
| 191
| 5.75
| 0.708333
| 0.246377
| 0.333333
| 0.42029
| 0.608696
| 0.608696
| 0
| 0
| 0
| 0
| 0
| 0.017964
| 0.125654
| 191
| 6
| 69
| 31.833333
| 0.808383
| 0
| 0
| 0
| 0
| 0
| 0.099476
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
452c04a447241a9d9c81ad170095b93578f8679f
| 300
|
py
|
Python
|
arangodb_driver/models/aql/where.py
|
pablotcarreira/django-arangodb-driver
|
c8e3225ddb75f3119d8a7571a7afddbfd23311b3
|
[
"Apache-2.0"
] | 28
|
2017-01-06T16:30:33.000Z
|
2021-12-11T00:57:15.000Z
|
arangodb_driver/models/aql/where.py
|
pablotcarreira/django-arangodb-driver
|
c8e3225ddb75f3119d8a7571a7afddbfd23311b3
|
[
"Apache-2.0"
] | 2
|
2016-10-15T12:17:28.000Z
|
2017-06-06T22:39:29.000Z
|
arangodb_driver/models/aql/where.py
|
pablotcarreira/django-arangodb-driver
|
c8e3225ddb75f3119d8a7571a7afddbfd23311b3
|
[
"Apache-2.0"
] | 11
|
2017-02-28T12:09:19.000Z
|
2020-08-18T10:25:17.000Z
|
# Pablo Carreira - 15/10/16
from django.db.models.sql.where import WhereNode
# FIXME: Nothing is bing done here, but the overrides are working and may be used.
class AQLWhere(WhereNode):
def as_sql(self, compiler, connection):
return super(AQLWhere, self).as_sql(compiler, connection)
| 30
| 82
| 0.743333
| 45
| 300
| 4.911111
| 0.822222
| 0.045249
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024
| 0.166667
| 300
| 9
| 83
| 33.333333
| 0.86
| 0.353333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
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| 0
| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
| 0
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| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
453e617bfb80239a09ad2f93d48dcd7c1bcbe1ab
| 4,427
|
py
|
Python
|
lift_test.py
|
konan5d/Ascenseur_Test_Unitaire
|
69f49723ef67da441fde10f61d9615e67a9570c8
|
[
"MIT"
] | null | null | null |
lift_test.py
|
konan5d/Ascenseur_Test_Unitaire
|
69f49723ef67da441fde10f61d9615e67a9570c8
|
[
"MIT"
] | null | null | null |
lift_test.py
|
konan5d/Ascenseur_Test_Unitaire
|
69f49723ef67da441fde10f61d9615e67a9570c8
|
[
"MIT"
] | null | null | null |
import unittest
from unittest.mock import MagicMock
from ascenseur.Lift import Lift
class MyTestCase(unittest.TestCase):
def test_lift_up(self):
mock = MagicMock()
mock.getDirection.return_value = 1
mock.shouldStop.return_value = False
lift = Lift(logic=mock, starting_floor=3)
lift.execute_iteration()
self.assertEqual(4, lift.current_floor)
mock.getDirection.assert_called_with(3, None, [])
def test_lift_down(self):
mock = MagicMock()
mock.getDirection.return_value = -1
mock.shouldStop.return_value = False
lift = Lift(logic=mock, starting_floor=0)
lift.execute_iteration()
self.assertEqual(-1, lift.current_floor)
mock.getDirection.assert_called_with(0, None, [])
def test_lift_stop_at_asked_floor(self):
mock = MagicMock()
mock.getDirection.return_value = 1
mock.shouldStop.return_value = True
lift = Lift(logic=mock, starting_floor=1, asked_floor=1, called_button=[3, 1, 5])
lift.execute_iteration()
self.assertEqual(1, lift.current_floor)
self.assertEqual(None, lift.asked_floor_button)
self.assertListEqual([3, 5], lift.called_buttons)
mock.getDirection.assert_called_with(1, 1, [3, 5])
def test_lift_stop_at_called_floor_list(self):
mock = MagicMock()
mock.getDirection.return_value = 1
mock.shouldStop.return_value = True
lift = Lift(logic=mock, starting_floor=4, asked_floor=10, called_button=[7, 10, 4])
lift.execute_iteration()
self.assertEqual(4, lift.current_floor)
self.assertEqual(10, lift.asked_floor_button)
self.assertListEqual([7, 10], lift.called_buttons)
mock.getDirection.assert_called_with(4, 10, [7, 10])
# Test : double bouton d'appel
def test_lift_up_double_button_up(self):
mock = MagicMock()
mock.getDirection.return_value = 1
mock.shouldStop.return_value = False
lift = Lift(logic=mock, starting_floor=4, asked_floor=(5, 1), called_button=[(5, 1), (0, -1)])
lift.execute_iteration_double_button()
# Test result
self.assertEqual(5, lift.current_floor)
mock.getDirection.assert_called_with(4, (5, 1), [(5, 1), (0, -1)])
def test_lift_up_double_button_down(self):
mock = MagicMock()
mock.getDirection.return_value = 1
mock.shouldStop.return_value = False
lift = Lift(logic=mock, starting_floor=2, asked_floor=(5, -1), called_button=[(5, -1), (7, 1)])
lift.execute_iteration_double_button()
mock.getDirection.assert_called_with(2, (5, -1), [(5, -1), (7, 1)])
mock.shouldStop.assert_called_with(2, (5, -1), [(5, -1), (7, 1)])
# Test result
self.assertEqual(3, lift.current_floor)
self.assertEqual((5, -1), lift.asked_floor_button)
# Test : l'ascenseur descend, passe par un étage appelé, mais ne s'arrête pas
def test_lift_up_double_button_no_stop(self):
mock = MagicMock()
mock.getDirection.return_value = -1
mock.shouldStop.return_value = False
lift = Lift(logic=mock, starting_floor=6, asked_floor=(6, 1), called_button=[(6, 1), (-2, 1)])
lift.execute_iteration_double_button()
mock.getDirection.assert_called_with(6, (6, 1), [(6, 1), (-2, 1)])
mock.shouldStop.assert_called_with(6, (6, 1), [(6, 1), (-2, 1)])
self.assertEqual(5, lift.current_floor)
self.assertEqual((6, 1), lift.asked_floor_button)
self.assertListEqual([(6, 1), (-2, 1)], lift.called_buttons)
# Test : l'ascenseur descend, passe par un étage appelé, mais ne s'arrête pas
def test_lift_up_double_button_stop(self):
mock = MagicMock()
mock.getDirection.return_value = -1
mock.shouldStop.return_value = True
lift = Lift(logic=mock, starting_floor=-1, asked_floor=(-1, -1), called_button=[(6, 1), (-2, 1), (-1, -1)])
lift.execute_iteration_double_button()
self.assertEqual(-1, lift.current_floor)
self.assertEqual(None, lift.asked_floor_button)
self.assertListEqual([(6, 1), (-2, 1)], lift.called_buttons)
mock.getDirection.assert_called_with(-1, (-1, -1), [(6, 1), (-2, 1)])
mock.shouldStop.assert_called_with(-1, (-1, -1), [(6, 1), (-2, 1)])
if __name__ == '__main__':
unittest.main()
| 36.286885
| 115
| 0.646939
| 593
| 4,427
| 4.593592
| 0.116358
| 0.093979
| 0.060573
| 0.061674
| 0.884361
| 0.84141
| 0.761013
| 0.748899
| 0.674376
| 0.601689
| 0
| 0.040521
| 0.219562
| 4,427
| 121
| 116
| 36.586777
| 0.747902
| 0.046081
| 0
| 0.512195
| 0
| 0
| 0.001897
| 0
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| 0
| 0
| 0
| 0.341463
| 1
| 0.097561
| false
| 0
| 0.036585
| 0
| 0.146341
| 0
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| 0
| null | 0
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| 1
| 1
| 1
| 0
| 1
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
189e8f77d03dc31a3f2a31983611b7cd8f129a26
| 68
|
py
|
Python
|
tests/features/environment.py
|
pwoolvett/chained_in
|
45da3776f0d1f3f34c95616080c26cf55e566cd7
|
[
"MIT"
] | null | null | null |
tests/features/environment.py
|
pwoolvett/chained_in
|
45da3776f0d1f3f34c95616080c26cf55e566cd7
|
[
"MIT"
] | null | null | null |
tests/features/environment.py
|
pwoolvett/chained_in
|
45da3776f0d1f3f34c95616080c26cf55e566cd7
|
[
"MIT"
] | null | null | null |
import tests # make sure we use the right dotenv file # noqa: F401
| 34
| 67
| 0.735294
| 12
| 68
| 4.166667
| 1
| 0
| 0
| 0
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| 0
| 0
| 0.056604
| 0.220588
| 68
| 1
| 68
| 68
| 0.886792
| 0.735294
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| null | 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
18c3512fc699ba52a243e8e512fd94f4b731f059
| 38
|
py
|
Python
|
tests/__init__.py
|
toschoch/python-storageapi
|
8b48fddb46ac729942f92c85234c8bc9c3ff3ea2
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
toschoch/python-storageapi
|
8b48fddb46ac729942f92c85234c8bc9c3ff3ea2
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
toschoch/python-storageapi
|
8b48fddb46ac729942f92c85234c8bc9c3ff3ea2
|
[
"MIT"
] | null | null | null |
"""Unit test package for objectdb."""
| 19
| 37
| 0.684211
| 5
| 38
| 5.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131579
| 38
| 1
| 38
| 38
| 0.787879
| 0.815789
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
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| null | 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
18cebdde94290bc93cfbb45dad21ef8f9a11e1e1
| 127
|
py
|
Python
|
strings/height2.py
|
janbodnar/Python-Course
|
51705ab5a2adef52bcdb99a800e94c0d67144a38
|
[
"BSD-2-Clause"
] | 13
|
2017-08-22T12:26:07.000Z
|
2021-07-29T16:13:50.000Z
|
strings/height2.py
|
janbodnar/Python-Course
|
51705ab5a2adef52bcdb99a800e94c0d67144a38
|
[
"BSD-2-Clause"
] | 1
|
2021-02-08T10:24:33.000Z
|
2021-02-08T10:24:33.000Z
|
strings/height2.py
|
janbodnar/Python-Course
|
51705ab5a2adef52bcdb99a800e94c0d67144a38
|
[
"BSD-2-Clause"
] | 17
|
2018-08-13T11:10:33.000Z
|
2021-07-29T16:14:02.000Z
|
#!/usr/bin/python
# height2.py
print ('Height: %.2f %s' % (172.3, 'cm'))
print ('Height: {0:.2f} {1:s}'.format(172.3, 'cm'))
| 18.142857
| 51
| 0.543307
| 22
| 127
| 3.136364
| 0.681818
| 0.318841
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118182
| 0.133858
| 127
| 6
| 52
| 21.166667
| 0.509091
| 0.212598
| 0
| 0
| 0
| 0
| 0.408163
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
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0
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7a01d7efc5dfa1786888d4f9ef1d39a1d925ae01
| 112,937
|
py
|
Python
|
pysnmp_mibs/EFM-CU-MIB.py
|
jackjack821/pysnmp-mibs
|
9835ea0bb2420715caf4ee9aaa07d59bb263acd6
|
[
"BSD-2-Clause"
] | 6
|
2017-04-21T13:48:08.000Z
|
2022-01-06T19:42:52.000Z
|
pysnmp_mibs/EFM-CU-MIB.py
|
jackjack821/pysnmp-mibs
|
9835ea0bb2420715caf4ee9aaa07d59bb263acd6
|
[
"BSD-2-Clause"
] | 1
|
2020-05-05T16:42:25.000Z
|
2020-05-05T16:42:25.000Z
|
pysnmp_mibs/EFM-CU-MIB.py
|
jackjack821/pysnmp-mibs
|
9835ea0bb2420715caf4ee9aaa07d59bb263acd6
|
[
"BSD-2-Clause"
] | 6
|
2020-02-08T20:28:49.000Z
|
2021-09-14T13:36:46.000Z
|
#
# PySNMP MIB module EFM-CU-MIB (http://pysnmp.sf.net)
# ASN.1 source http://mibs.snmplabs.com:80/asn1/EFM-CU-MIB
# Produced by pysmi-0.0.7 at Sun Feb 14 00:11:39 2016
# On host bldfarm platform Linux version 4.1.13-100.fc21.x86_64 by user goose
# Using Python version 3.5.0 (default, Jan 5 2016, 17:11:52)
#
( OctetString, ObjectIdentifier, Integer, ) = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
( NamedValues, ) = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
( ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint, ) = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint")
( ifIndex, ifSpeed, ) = mibBuilder.importSymbols("IF-MIB", "ifIndex", "ifSpeed")
( SnmpAdminString, ) = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
( ObjectGroup, NotificationGroup, ModuleCompliance, ) = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
( Bits, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, mib_2, IpAddress, Integer32, NotificationType, Unsigned32, ObjectIdentity, Counter64, TimeTicks, Gauge32, iso, Counter32, ) = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "mib-2", "IpAddress", "Integer32", "NotificationType", "Unsigned32", "ObjectIdentity", "Counter64", "TimeTicks", "Gauge32", "iso", "Counter32")
( TextualConvention, DisplayString, TruthValue, PhysAddress, RowStatus, ) = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString", "TruthValue", "PhysAddress", "RowStatus")
efmCuMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 167)).setRevisions(("2007-11-14 00:00",))
if mibBuilder.loadTexts: efmCuMIB.setLastUpdated('200711140000Z')
if mibBuilder.loadTexts: efmCuMIB.setOrganization('IETF Ethernet Interfaces and Hub MIB Working Group')
if mibBuilder.loadTexts: efmCuMIB.setContactInfo('WG charter:\n http://www.ietf.org/html.charters/OLD/hubmib-charter.html\n\n\n\n Mailing Lists:\n General Discussion: hubmib@ietf.org\n To Subscribe: hubmib-request@ietf.org\n In Body: subscribe your_email_address\n\n Chair: Bert Wijnen\n Postal: Alcatel-Lucent\n Schagen 33\n 3461 GL Linschoten\n Netherlands\n Phone: +31-348-407-775\n EMail: bwijnen@alcatel-lucent.com\n\n Editor: Edward Beili\n Postal: Actelis Networks Inc.\n 25 Bazel St., P.O.B. 10173\n Petach-Tikva 10173\n Israel\n Phone: +972-3-924-3491\n Email: edward.beili@actelis.com')
if mibBuilder.loadTexts: efmCuMIB.setDescription("The objects in this MIB module are used to manage\n the Ethernet in the First Mile (EFM) Copper (EFMCu) Interfaces\n 2BASE-TL and 10PASS-TS, defined in IEEE Std. 802.3ah-2004,\n which is now a part of IEEE Std. 802.3-2005.\n\n The following references are used throughout this MIB module:\n\n [802.3ah] refers to:\n IEEE Std 802.3ah-2004: 'IEEE Standard for Information\n technology - Telecommunications and information exchange\n between systems - Local and metropolitan area networks -\n Specific requirements -\n Part 3: Carrier Sense Multiple Access with Collision\n Detection (CSMA/CD) Access Method and Physical Layer\n Specifications -\n Amendment: Media Access Control Parameters, Physical\n Layers and Management Parameters for Subscriber Access\n Networks', 07 September 2004.\n\n Of particular interest are Clause 61, 'Physical Coding\n Sublayer (PCS) and common specifications, type 10PASS-TS and\n type 2BASE-TL', Clause 30, 'Management', Clause 45,\n 'Management Data Input/Output (MDIO) Interface', Annex 62A,\n 'PMD profiles for 10PASS-TS' and Annex 63A, 'PMD profiles for\n 2BASE-TL'.\n\n\n\n\n [G.991.2] refers to:\n ITU-T Recommendation G.991.2: 'Single-pair High-speed Digital\n Subscriber Line (SHDSL) transceivers', December 2003.\n\n [ANFP] refers to:\n NICC Document ND1602:2005/08: 'Specification of the Access\n Network Frequency Plan (ANFP) applicable to transmission\n systems used on the BT Access Network,' August 2005.\n\n The following normative documents are quoted by the DESCRIPTION\n clauses in this MIB module:\n\n [G.993.1] refers to:\n ITU-T Recommendation G.993.1: 'Very High speed Digital\n Subscriber Line transceivers', June 2004.\n\n [T1.424] refers to:\n ANSI T1.424-2004: 'Interface Between Networks and Customer\n Installation Very-high-bit-rate Digital Subscriber Lines\n (VDSL) Metallic Interface (DMT Based)', June 2004.\n\n [TS 101 270-1] refers to:\n ETSI TS 101 270-1: 'Transmission and Multiplexing (TM);\n Access transmission systems on metallic access cables;\n Very high speed Digital Subscriber Line (VDSL); Part 1:\n Functional requirements', October 2005.\n\n Naming Conventions:\n Atn - Attenuation\n CO - Central Office\n CPE - Customer Premises Equipment\n EFM - Ethernet in the First Mile\n EFMCu - EFM Copper\n MDIO - Management Data Input/Output\n Mgn - Margin\n PAF - PME Aggregation Function\n PBO - Power Back-Off\n PCS - Physical Coding Sublayer\n PMD - Physical Medium Dependent\n PME - Physical Medium Entity\n PSD - Power Spectral Density\n SNR - Signal to Noise Ratio\n TCPAM - Trellis Coded Pulse Amplitude Modulation\n\n Copyright (C) The IETF Trust (2007). This version\n of this MIB module is part of RFC 5066; see the RFC\n itself for full legal notices.")
efmCuObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1))
efmCuConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 2))
efmCuPort = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 1))
efmCuPme = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2))
class EfmProfileIndex(Unsigned32, TextualConvention):
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec+ValueRangeConstraint(1,255)
class EfmProfileIndexOrZero(Unsigned32, TextualConvention):
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec+ValueRangeConstraint(0,255)
class EfmProfileIndexList(OctetString, TextualConvention):
displayHint = '1d:'
subtypeSpec = OctetString.subtypeSpec+ValueSizeConstraint(0,6)
class EfmTruthValueOrUnknown(Integer32, TextualConvention):
subtypeSpec = Integer32.subtypeSpec+ConstraintsUnion(SingleValueConstraint(0, 1, 2,))
namedValues = NamedValues(("unknown", 0), ("true", 1), ("false", 2),)
efmCuPortNotifications = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 1, 0))
efmCuLowRateCrossing = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 1, 0, 1)).setObjects(*(("EFM-CU-MIB", "ifSpeed"), ("EFM-CU-MIB", "efmCuThreshLowRate"),))
if mibBuilder.loadTexts: efmCuLowRateCrossing.setDescription("This notification indicates that the EFMCu port's data rate\n has reached/dropped below or exceeded the low rate threshold,\n specified by efmCuThreshLowRate.\n\n This notification MAY be sent for the -O subtype ports\n (2BaseTL-O/10PassTS-O) while the port is Up, on the crossing\n event in both directions: from normal (rate is above the\n threshold) to low (rate equals the threshold or below it) and\n\n\n\n from low to normal. This notification is not applicable to\n the -R subtypes.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent simultaneous LinkUp/LinkDown and\n efmCuLowRateCrossing notifications to be sent.\n\n The adaptive nature of the EFMCu technology allows the port to\n adapt itself to the changes in the copper environment, e.g.,\n an impulse noise, alien crosstalk, or a micro-interruption may\n temporarily drop one or more PMEs in the aggregation group,\n causing a rate degradation of the aggregated EFMCu link.\n The dropped PMEs would then try to re-initialize, possibly at\n a lower rate than before, adjusting the rate to provide\n required target SNR margin.\n\n Generation of this notification is controlled by the\n efmCuLowRateCrossingEnable object.")
efmCuPortConfTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 1, 1), )
if mibBuilder.loadTexts: efmCuPortConfTable.setDescription('Table for Configuration of EFMCu 2BASE-TL/10PASS-TS (PCS)\n Ports. Entries in this table MUST be maintained in a\n persistent manner.')
efmCuPortConfEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPortConfEntry.setDescription('An entry in the EFMCu Port Configuration table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efmCuPAFAdminState = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPAFAdminState.setDescription("Administrative (desired) state of the PAF of the EFMCu port\n (PCS).\n When 'disabled', PME aggregation will not be performed by the\n PCS. No more than a single PME can be assigned to this PCS in\n this case.\n When 'enabled', PAF will be performed by the PCS when the link\n is Up, even on a single attached PME, if PAF is supported.\n\n PCS ports incapable of supporting PAF SHALL return a value of\n 'disabled'. Attempts to 'enable' such ports SHALL be\n rejected.\n\n A PAF 'enabled' port with multiple PMEs assigned cannot be\n 'disabled'. Attempts to 'disable' such port SHALL be\n rejected, until at most one PME is left assigned.\n\n Changing PAFAdminState is a traffic-disruptive operation and\n as such SHALL be done when the link is Down. Attempts to\n change this object SHALL be rejected if the link is Up or\n Initializing.\n\n This object maps to the Clause 30 attribute aPAFAdminState.\n\n If a Clause 45 MDIO Interface to the PCS is present, then this\n object maps to the PAF enable bit in the 10P/2B PCS control\n register.\n\n This object MUST be maintained in a persistent manner.")
efmCuPAFDiscoveryCode = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 2), PhysAddress().subtype(subtypeSpec=ConstraintsUnion(ValueSizeConstraint(0,0),ValueSizeConstraint(6,6),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPAFDiscoveryCode.setDescription('PAF Discovery Code of the EFMCu port (PCS).\n A unique 6-octet code used by the Discovery function,\n when PAF is supported.\n PCS ports incapable of supporting PAF SHALL return a\n zero-length octet string on an attempt to read this object.\n An attempt to write to this object SHALL be rejected for such\n ports.\n This object MUST be instantiated for the -O subtype PCS before\n writing operations on the efmCuPAFRemoteDiscoveryCode\n (Set_if_Clear and Clear_if_Same) are performed by PMEs\n associated with the PCS.\n The initial value of this object for -R subtype ports after\n reset is all zeroes. For -R subtype ports, the value of this\n object cannot be changed directly. This value may be changed\n as a result of writing operation on the\n efmCuPAFRemoteDiscoveryCode object of remote PME of -O\n subtype, connected to one of the local PMEs associated with\n the PCS.\n\n Discovery MUST be performed when the link is Down.\n Attempts to change this object MUST be rejected (in case of\n SNMP with the error inconsistentValue), if the link is Up or\n Initializing.\n\n The PAF Discovery Code maps to the local Discovery code\n variable in PAF (note that it does not have a corresponding\n Clause 45 register).')
efmCuAdminProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 3), EfmProfileIndexList().clone(hexValue="01")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuAdminProfile.setDescription('Desired configuration profile(s), common for all PMEs in the\n EFMCu port. This object is a list of pointers to entries in\n either efmCuPme2BProfileTable or\n efmCuPme10PProfileTable, depending on the current\n operating SubType of the EFMCu port as indicated by\n efmCuPortSide.\n\n\n\n The value of this object is a list of up to 6 indices of\n profiles. If this list consists of a single profile index,\n then all PMEs assigned to this EFMCu port SHALL be configured\n according to the profile referenced by that index, unless it\n is overwritten by a corresponding non-zero\n efmCuPmeAdminProfile instance, which takes precedence over\n efmCuAdminProfile.\n A list consisting of more than one index allows each PME\n in the port to be configured according to any profile\n specified in the list.\n By default, this object has a value of 0x01, referencing the\n 1st entry in efmCuPme2BProfileTable or\n efmCuPme10PProfileTable.\n\n This object is writable and readable for the -O subtype\n (2BaseTL-O or 10PassTS-O) EFMCu ports. It is irrelevant for\n the -R subtype (2BaseTL-R or 10PassTS-R) ports -- a\n zero-length octet string SHALL be returned on an attempt to\n read this object and an attempt to change this object MUST be\n rejected in this case.\n\n Note that the current operational profile value is available\n via the efmCuPmeOperProfile object.\n\n Any modification of this object MUST be performed when the\n link is Down. Attempts to change this object MUST be\n rejected, if the link is Up or Initializing.\n Attempts to set this object to a list with a member value that\n is not the value of the index for an active entry in the\n corresponding profile table MUST be rejected.\n\n This object maps to the Clause 30 attribute aProfileSelect.\n\n This object MUST be maintained in a persistent manner.')
efmCuTargetDataRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(1,100000),ValueRangeConstraint(999999,999999),))).setUnits('Kbps').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuTargetDataRate.setDescription("Desired EFMCu port 'net' (as seen across MII) Data Rate in\n Kbps, to be achieved during initialization, under spectral\n restrictions placed on each PME via efmCuAdminProfile or\n\n\n\n efmCuPmeAdminProfile, with the desired SNR margin specified by\n efmCuTargetSnrMgn.\n In case of PAF, this object represents a sum of individual PME\n data rates, modified to compensate for fragmentation and\n 64/65-octet encapsulation overhead (e.g., target data rate of\n 10 Mbps SHALL allow lossless transmission of a full-duplex\n 10 Mbps Ethernet frame stream with minimal inter-frame gap).\n\n The value is limited above by 100 Mbps as this is the max\n burst rate across MII for EFMCu ports.\n\n The value between 1 and 100000 indicates that the total data\n rate (ifSpeed) of the EFMCu port after initialization SHALL be\n equal to the target data rate or less, if the target data rate\n cannot be achieved under spectral restrictions specified by\n efmCuAdminProfile/efmCuPmeAdminProfile and with the desired\n SNR margin. In case the copper environment allows a higher\n total data rate to be achieved than that specified by the\n target, the excess capability SHALL be either converted to\n additional SNR margin or reclaimed by minimizing transmit\n power as controlled by efmCuAdaptiveSpectra.\n\n The value of 999999 means that the target data rate is not\n fixed and SHALL be set to the maximum attainable rate during\n initialization (Best Effort), under specified spectral\n restrictions and with the desired SNR margin.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of the Target Data Rate MUST be performed when the\n link is Down. Attempts to change this object MUST be rejected\n (in case of SNMP with the error inconsistentValue), if the\n link is Up or Initializing.\n\n Note that the current Data Rate of the EFMCu port is\n represented by the ifSpeed object of IF-MIB.\n\n This object MUST be maintained in a persistent manner.")
efmCuTargetSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,21))).setUnits('dB').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuTargetSnrMgn.setDescription('Desired EFMCu port SNR margin to be achieved on all PMEs\n\n\n\n assigned to the port, during initialization. (The SNR margin\n is the difference between the desired SNR and the actual SNR).\n\n Note that 802.3ah recommends using a default target SNR margin\n of 5 dB for 2BASE-TL ports and 6 dB for 10PASS-TS ports in\n order to achieve a mean Bit Error Rate (BER) of 10^-7 at the\n PMA service interface.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of the target SNR margin MUST be performed when the\n link is Down. Attempts to change this object MUST be rejected\n (in case of SNMP with the error inconsistentValue), if the\n link is Up or Initializing.\n\n Note that the current SNR margin of the PMEs comprising the\n EFMCu port is represented by efmCuPmeSnrMgn.\n\n This object MUST be maintained in a persistent manner.')
efmCuAdaptiveSpectra = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 6), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuAdaptiveSpectra.setDescription('Indicates how to utilize excess capacity when the copper\n environment allows a higher total data rate to be achieved\n than that specified by the efmCuTargetDataRate.\n\n A value of true(1) indicates that the excess capability SHALL\n be reclaimed by minimizing transmit power, e.g., using higher\n constellations and Power Back-Off, in order to reduce\n interference to other copper pairs in the binder and the\n adverse impact to link/system performance.\n\n A value of false(2) indicates that the excess capability SHALL\n be converted to additional SNR margin and spread evenly across\n all active PMEs assigned to the (PCS) port, to increase link\n robustness.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of this object MUST be performed when the link is\n\n\n\n Down. Attempts to change this object MUST be rejected (in\n case of SNMP with the error inconsistentValue), if the link\n is Up or Initializing.\n\n This object MUST be maintained in a persistent manner.')
efmCuThreshLowRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1,100000))).setUnits('Kbps').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuThreshLowRate.setDescription('This object configures the EFMCu port low-rate crossing alarm\n threshold. When the current value of ifSpeed for this port\n reaches/drops below or exceeds this threshold, an\n efmCuLowRateCrossing notification MAY be generated if enabled\n by efmCuLowRateCrossingEnable.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n This object MUST be maintained in a persistent manner.')
efmCuLowRateCrossingEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 8), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuLowRateCrossingEnable.setDescription('Indicates whether efmCuLowRateCrossing notifications should\n be generated for this interface.\n\n A value of true(1) indicates that efmCuLowRateCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n This object MUST be maintained in a persistent manner.')
efmCuPortCapabilityTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 1, 2), )
if mibBuilder.loadTexts: efmCuPortCapabilityTable.setDescription('Table for Capabilities of EFMCu 2BASE-TL/10PASS-TS (PCS)\n Ports. Entries in this table MUST be maintained in a\n persistent manner')
efmCuPortCapabilityEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPortCapabilityEntry.setDescription('An entry in the EFMCu Port Capability table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efmCuPAFSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 1), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFSupported.setDescription('PME Aggregation Function (PAF) capability of the EFMCu port\n (PCS).\n This object has a value of true(1) when the PCS can perform\n PME aggregation on the available PMEs.\n Ports incapable of PAF SHALL return a value of false(2).\n\n This object maps to the Clause 30 attribute aPAFSupported.\n\n If a Clause 45 MDIO Interface to the PCS is present,\n then this object maps to the PAF available bit in the\n 10P/2B capability register.')
efmCuPeerPAFSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 2), EfmTruthValueOrUnknown()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPeerPAFSupported.setDescription('PME Aggregation Function (PAF) capability of the EFMCu port\n (PCS) link partner.\n This object has a value of true(1) when the remote PCS can\n perform PME aggregation on its available PMEs.\n Ports whose peers are incapable of PAF SHALL return a value\n of false(2).\n Ports whose peers cannot be reached because of the link\n state SHALL return a value of unknown(0).\n\n This object maps to the Clause 30 attribute\n aRemotePAFSupported.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the Remote PAF supported bit in the\n 10P/2B capability register.')
efmCuPAFCapacity = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1,32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFCapacity.setDescription('Number of PMEs that can be aggregated by the local PAF.\n The number of PMEs currently assigned to a particular\n EFMCu port (efmCuNumPMEs) is never greater than\n efmCuPAFCapacity.\n\n This object maps to the Clause 30 attribute\n aLocalPAFCapacity.')
efmCuPeerPAFCapacity = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(1,32),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPeerPAFCapacity.setDescription('Number of PMEs that can be aggregated by the PAF of the peer\n PHY (PCS port).\n A value of 0 is returned when peer PAF capacity is unknown\n (peer cannot be reached).\n\n\n\n\n This object maps to the Clause 30 attribute\n aRemotePAFCapacity.')
efmCuPortStatusTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 1, 3), )
if mibBuilder.loadTexts: efmCuPortStatusTable.setDescription('This table provides overall status information of EFMCu\n 2BASE-TL/10PASS-TS ports, complementing the generic status\n information from the ifTable of IF-MIB and ifMauTable of\n MAU-MIB. Additional status information about connected PMEs\n is available from the efmCuPmeStatusTable.\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efmCuPortStatusEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPortStatusEntry.setDescription('An entry in the EFMCu Port Status table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efmCuFltStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 1), Bits().clone(namedValues=NamedValues(("noPeer", 0), ("peerPowerLoss", 1), ("pmeSubTypeMismatch", 2), ("lowRate", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuFltStatus.setDescription("EFMCu (PCS) port Fault Status. This is a bitmap of possible\n conditions. The various bit positions are:\n noPeer - the peer PHY cannot be reached (e.g.,\n no PMEs attached, all PMEs are Down,\n etc.). More info is available in\n efmCuPmeFltStatus.\n peerPowerLoss - the peer PHY has indicated impending\n unit failure due to loss of local\n power ('Dying Gasp').\n pmeSubTypeMismatch - local PMEs in the aggregation group\n are not of the same subtype, e.g.,\n some PMEs in the local device are -O\n while others are -R subtype.\n lowRate - ifSpeed of the port reached or dropped\n below efmCuThreshLowRate.\n\n This object is intended to supplement the ifOperStatus object\n in IF-MIB and ifMauMediaAvailable in MAU-MIB.\n\n Additional information is available via the efmCuPmeFltStatus\n object for each PME in the aggregation group (single PME if\n PAF is disabled).")
efmCuPortSide = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3,))).clone(namedValues=NamedValues(("subscriber", 1), ("office", 2), ("unknown", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPortSide.setDescription("EFM port mode of operation (subtype).\n The value of 'subscriber' indicates that the port is\n\n\n\n designated as '-R' subtype (all PMEs assigned to this port are\n of subtype '-R').\n The value of the 'office' indicates that the port is\n designated as '-O' subtype (all PMEs assigned to this port are\n of subtype '-O').\n The value of 'unknown' indicates that the port has no assigned\n PMEs yet or that the assigned PMEs are not of the same side\n (subTypePMEMismatch).\n\n This object partially maps to the Clause 30 attribute\n aPhyEnd.")
efmCuNumPMEs = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuNumPMEs.setDescription('The number of PMEs that is currently aggregated by the local\n PAF (assigned to the EFMCu port using the ifStackTable).\n This number is never greater than efmCuPAFCapacity.\n\n This object SHALL be automatically incremented or decremented\n when a PME is added or deleted to/from the EFMCu port using\n the ifStackTable.')
efmCuPAFInErrors = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInErrors.setDescription('The number of fragments that have been received across the\n gamma interface with RxErr asserted and discarded.\n This read-only counter is inactive (not incremented) when the\n PAF is unsupported or disabled. Upon disabling the PAF, the\n counter retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF RX error register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n\n\n\n defined in IF-MIB.')
efmCuPAFInSmallFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInSmallFragments.setDescription('The number of fragments smaller than minFragmentSize\n (64 bytes) that have been received across the gamma interface\n and discarded.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF small fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLargeFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLargeFragments.setDescription('The number of fragments larger than maxFragmentSize\n (512 bytes) that have been received across the gamma interface\n and discarded.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF large fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInBadFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInBadFragments.setDescription('The number of fragments that do not fit into the sequence\n expected by the frame assembly function and that have been\n received across the gamma interface and discarded (the\n frame buffer is flushed to the next valid frame start).\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF bad fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLostFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLostFragments.setDescription('The number of gaps in the sequence of fragments that have\n been received across the gamma interface (the frame buffer is\n flushed to the next valid frame start, when fragment/fragments\n expected by the frame assembly function is/are not received).\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost fragment register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLostStarts = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLostStarts.setDescription('The number of missing StartOfPacket indicators expected by\n the frame assembly function.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost start of fragment\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLostEnds = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLostEnds.setDescription('The number of missing EndOfPacket indicators expected by the\n frame assembly function.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost start of fragment\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInOverflows = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInOverflows.setDescription('The number of fragments, received across the gamma interface\n and discarded, which would have caused the frame assembly\n buffer to overflow.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF overflow register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPmeNotifications = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 0))
efmCuPmeLineAtnCrossing = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 1)).setObjects(*(("EFM-CU-MIB", "efmCuPmeLineAtn"), ("EFM-CU-MIB", "efmCuPmeThreshLineAtn"),))
if mibBuilder.loadTexts: efmCuPmeLineAtnCrossing.setDescription('This notification indicates that the loop attenuation\n threshold (as per the efmCuPmeThreshLineAtn\n value) has been reached/exceeded for the 2BASE-TL/10PASS-TS\n PME. This notification MAY be sent on the crossing event in\n both directions: from normal to exceeded and from exceeded\n to normal.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent intermittent notifications from\n being sent.\n\n Generation of this notification is controlled by the\n efmCuPmeLineAtnCrossingEnable object.')
efmCuPmeSnrMgnCrossing = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 2)).setObjects(*(("EFM-CU-MIB", "efmCuPmeSnrMgn"), ("EFM-CU-MIB", "efmCuPmeThreshSnrMgn"),))
if mibBuilder.loadTexts: efmCuPmeSnrMgnCrossing.setDescription('This notification indicates that the SNR margin threshold\n (as per the efmCuPmeThreshSnrMgn value) has been\n reached/exceeded for the 2BASE-TL/10PASS-TS PME.\n This notification MAY be sent on the crossing event in\n both directions: from normal to exceeded and from exceeded\n to normal.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent intermittent notifications from\n being sent.\n\n Generation of this notification is controlled by the\n efmCuPmeSnrMgnCrossingEnable object.')
efmCuPmeDeviceFault = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 3)).setObjects(*(("EFM-CU-MIB", "efmCuPmeFltStatus"),))
if mibBuilder.loadTexts: efmCuPmeDeviceFault.setDescription('This notification indicates that a fault in the PME has been\n detected by a vendor-specific diagnostic or a self-test.\n\n Generation of this notification is controlled by the\n efmCuPmeDeviceFaultEnable object.')
efmCuPmeConfigInitFailure = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 4)).setObjects(*(("EFM-CU-MIB", "efmCuPmeFltStatus"), ("EFM-CU-MIB", "efmCuAdminProfile"), ("EFM-CU-MIB", "efmCuPmeAdminProfile"),))
if mibBuilder.loadTexts: efmCuPmeConfigInitFailure.setDescription('This notification indicates that PME initialization has\n failed, due to inability of the PME link to achieve the\n\n\n\n requested configuration profile.\n\n Generation of this notification is controlled by the\n efmCuPmeConfigInitFailEnable object.')
efmCuPmeProtocolInitFailure = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 5)).setObjects(*(("EFM-CU-MIB", "efmCuPmeFltStatus"), ("EFM-CU-MIB", "efmCuPmeOperSubType"),))
if mibBuilder.loadTexts: efmCuPmeProtocolInitFailure.setDescription('This notification indicates that the peer PME was using\n an incompatible protocol during initialization.\n\n Generation of this notification is controlled by the\n efmCuPmeProtocolInitFailEnable object.')
efmCuPmeConfTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 1), )
if mibBuilder.loadTexts: efmCuPmeConfTable.setDescription('Table for Configuration of common aspects for EFMCu\n 2BASE-TL/10PASS-TS PME ports (modems). Configuration of\n aspects specific to 2BASE-TL or 10PASS-TS PME types is\n represented in efmCuPme2BConfTable and efmCuPme10PConfTable,\n respectively.\n\n Entries in this table MUST be maintained in a persistent\n manner.')
efmCuPmeConfEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPmeConfEntry.setDescription('An entry in the EFMCu PME Configuration table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efmCuPmeAdminSubType = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7,))).clone(namedValues=NamedValues(("ieee2BaseTLO", 1), ("ieee2BaseTLR", 2), ("ieee10PassTSO", 3), ("ieee10PassTSR", 4), ("ieee2BaseTLor10PassTSR", 5), ("ieee2BaseTLor10PassTSO", 6), ("ieee10PassTSor2BaseTLO", 7),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeAdminSubType.setDescription('Administrative (desired) subtype of the PME.\n Possible values are:\n ieee2BaseTLO - PME SHALL operate as 2BaseTL-O\n ieee2BaseTLR - PME SHALL operate as 2BaseTL-R\n ieee10PassTSO - PME SHALL operate as 10PassTS-O\n ieee10PassTSR - PME SHALL operate as 10PassTS-R\n ieee2BaseTLor10PassTSR - PME SHALL operate as 2BaseTL-R or\n 10PassTS-R. The actual value will\n be set by the -O link partner\n during initialization (handshake).\n ieee2BaseTLor10PassTSO - PME SHALL operate as 2BaseTL-O\n (preferred) or 10PassTS-O. The\n actual value will be set during\n initialization depending on the -R\n link partner capability (i.e., if\n -R is incapable of the preferred\n 2BaseTL mode, 10PassTS will be\n used).\n ieee10PassTSor2BaseTLO - PME SHALL operate as 10PassTS-O\n\n\n\n (preferred) or 2BaseTL-O. The\n actual value will be set during\n initialization depending on the -R\n link partner capability (i.e., if\n -R is incapable of the preferred\n 10PassTS mode, 2BaseTL will be\n used).\n\n Changing efmCuPmeAdminSubType is a traffic-disruptive\n operation and as such SHALL be done when the link is Down.\n Attempts to change this object SHALL be rejected if the link\n is Up or Initializing.\n Attempts to change this object to an unsupported subtype\n (see efmCuPmeSubTypesSupported) SHALL be rejected.\n\n The current operational subtype is indicated by the\n efmCuPmeOperSubType variable.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object combines values of the Port subtype select bits\n and the PMA/PMD type selection bits in the 10P/2B PMA/PMD\n control register.')
efmCuPmeAdminProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 2), EfmProfileIndexOrZero()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeAdminProfile.setDescription('Desired PME configuration profile. This object is a pointer\n to an entry in either the efmCuPme2BProfileTable or the\n efmCuPme10PProfileTable, depending on the current operating\n SubType of the PME. The value of this object is the index of\n the referenced profile.\n The value of zero (default) indicates that the PME is\n configured via the efmCuAdminProfile object for the PCS port\n to which this PME is assigned. That is, the profile\n referenced by efmCuPmeAdminProfile takes precedence\n over the profile(s) referenced by efmCuAdminProfile.\n\n This object is writable and readable for the CO subtype PMEs\n (2BaseTL-O or 10PassTS-O). It is irrelevant for the CPE\n subtype (2BaseTL-R or 10PassTS-R) -- a zero value SHALL be\n returned on an attempt to read this object and any attempt\n to change this object MUST be rejected in this case.\n\n\n\n\n Note that the current operational profile value is available\n via efmCuPmeOperProfile object.\n\n Any modification of this object MUST be performed when the\n link is Down. Attempts to change this object MUST be\n rejected, if the link is Up or Initializing.\n\n Attempts to set this object to a value that is not the value\n of the index for an active entry in the corresponding profile\n table MUST be rejected.\n\n This object maps to the Clause 30 attribute aProfileSelect.\n\n This object MUST be maintained in a persistent manner.')
efmCuPAFRemoteDiscoveryCode = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 3), PhysAddress().subtype(subtypeSpec=ConstraintsUnion(ValueSizeConstraint(0,0),ValueSizeConstraint(6,6),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPAFRemoteDiscoveryCode.setDescription('PAF Remote Discovery Code of the PME port at the CO.\n The 6-octet Discovery Code of the peer PCS connected via\n the PME.\n Reading this object results in a Discovery Get operation.\n Setting this object to all zeroes results in a Discovery\n Clear_if_Same operation (the value of efmCuPAFDiscoveryCode\n at the peer PCS SHALL be the same as efmCuPAFDiscoveryCode of\n the local PCS associated with the PME for the operation to\n succeed).\n Writing a non-zero value to this object results in a\n Discovery Set_if_Clear operation.\n A zero-length octet string SHALL be returned on an attempt to\n read this object when PAF aggregation is not enabled.\n\n This object is irrelevant in CPE port (-R) subtypes: in this\n case, a zero-length octet string SHALL be returned on an\n attempt to read this object; writing to this object SHALL\n be rejected.\n\n Discovery MUST be performed when the link is Down.\n Attempts to change this object MUST be rejected (in case of\n SNMP with the error inconsistentValue), if the link is Up or\n Initializing.\n\n\n\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object is a function of 10P/2B aggregation discovery\n control register, Discovery operation result bits in 10P/2B\n aggregation and discovery status register and\n 10P/2B aggregation discovery code register.')
efmCuPmeThreshLineAtn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-127,128))).setUnits('dB').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeThreshLineAtn.setDescription('Desired Line Attenuation threshold for the 2B/10P PME.\n This object configures the line attenuation alarm threshold.\n When the current value of Line Attenuation reaches or\n exceeds this threshold, an efmCuPmeLineAtnCrossing\n notification MAY be generated, if enabled by\n efmCuPmeLineAtnCrossingEnable.\n\n This object is writable for the CO subtype PMEs (-O).\n It is read-only for the CPE subtype (-R).\n\n Changing of the Line Attenuation threshold MUST be performed\n when the link is Down. Attempts to change this object MUST be\n rejected (in case of SNMP with the error inconsistentValue),\n if the link is Up or Initializing.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the loop attenuation threshold bits in\n the 2B PMD line quality thresholds register.')
efmCuPmeThreshSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-127,128))).setUnits('dB').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeThreshSnrMgn.setDescription('Desired SNR margin threshold for the 2B/10P PME.\n This object configures the SNR margin alarm threshold.\n When the current value of SNR margin reaches or exceeds this\n threshold, an efmCuPmeSnrMgnCrossing notification MAY be\n generated, if enabled by efmCuPmeSnrMgnCrossingEnable.\n\n\n\n This object is writable for the CO subtype PMEs\n (2BaseTL-O/10PassTS-O). It is read-only for the CPE subtype\n (2BaseTL-R/10PassTS-R).\n\n Changing of the SNR margin threshold MUST be performed when\n the link is Down. Attempts to change this object MUST be\n rejected (in case of SNMP with the error inconsistentValue),\n if the link is Up or Initializing.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the SNR margin threshold bits in the 2B PMD\n line quality thresholds register.')
efmCuPmeLineAtnCrossingEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 6), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeLineAtnCrossingEnable.setDescription('Indicates whether efmCuPmeLineAtnCrossing notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeLineAtnCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeSnrMgnCrossingEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 7), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeSnrMgnCrossingEnable.setDescription('Indicates whether efmCuPmeSnrMgnCrossing notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeSnrMgnCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeDeviceFaultEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 8), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeDeviceFaultEnable.setDescription('Indicates whether efmCuPmeDeviceFault notifications\n\n\n\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeDeviceFault\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeConfigInitFailEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 9), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeConfigInitFailEnable.setDescription('Indicates whether efmCuPmeConfigInitFailure notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeConfigInitFailure\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeProtocolInitFailEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 10), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeProtocolInitFailEnable.setDescription('Indicates whether efmCuPmeProtocolInitFailure notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeProtocolInitFailure\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeCapabilityTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 2), )
if mibBuilder.loadTexts: efmCuPmeCapabilityTable.setDescription('Table for the configuration of common aspects for EFMCu\n 2BASE-TL/10PASS-TS PME ports (modems). The configuration of\n aspects specific to 2BASE-TL or 10PASS-TS PME types is\n represented in the efmCuPme2BConfTable and the\n efmCuPme10PConfTable, respectively.\n\n Entries in this table MUST be maintained in a persistent\n manner.')
efmCuPmeCapabilityEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPmeCapabilityEntry.setDescription('An entry in the EFMCu PME Capability table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efmCuPmeSubTypesSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 2, 1, 1), Bits().clone(namedValues=NamedValues(("ieee2BaseTLO", 0), ("ieee2BaseTLR", 1), ("ieee10PassTSO", 2), ("ieee10PassTSR", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeSubTypesSupported.setDescription('PME supported subtypes. This is a bitmap of possible\n subtypes. The various bit positions are:\n ieee2BaseTLO - PME is capable of operating as 2BaseTL-O\n ieee2BaseTLR - PME is capable of operating as 2BaseTL-R\n ieee10PassTSO - PME is capable of operating as 10PassTS-O\n ieee10PassTSR - PME is capable of operating as 10PassTS-R\n\n The desired mode of operation is determined by\n efmCuPmeAdminSubType, while efmCuPmeOperSubType reflects the\n current operating mode.\n\n If a Clause 45 MDIO Interface to the PCS is present, then this\n object combines the 10PASS-TS capable and 2BASE-TL capable\n bits in the 10P/2B PMA/PMD speed ability register and the\n CO supported and CPE supported bits in the 10P/2B PMA/PMD\n status register.')
efmCuPmeStatusTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 3), )
if mibBuilder.loadTexts: efmCuPmeStatusTable.setDescription('This table provides common status information of EFMCu\n 2BASE-TL/10PASS-TS PME ports. Status information specific\n to 10PASS-TS PME is represented in efmCuPme10PStatusTable.\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efmCuPmeStatusEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPmeStatusEntry.setDescription('An entry in the EFMCu PME Status table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efmCuPmeOperStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("up", 1), ("downNotReady", 2), ("downReady", 3), ("init", 4),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeOperStatus.setDescription("Current PME link Operational Status. Possible values are:\n up(1) - The link is Up and ready to pass\n 64/65-octet encoded frames or fragments.\n downNotReady(2) - The link is Down and the PME does not\n detect Handshake tones from its peer.\n This value may indicate a possible\n problem with the peer PME.\n downReady(3) - The link is Down and the PME detects\n Handshake tones from its peer.\n init(4) - The link is Initializing, as a result of\n ifAdminStatus being set to 'up' for a\n particular PME or a PCS to which the PME\n is connected.\n\n This object is intended to supplement the Down(2) state of\n ifOperStatus.\n\n This object partially maps to the Clause 30 attribute\n aPMEStatus.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object partially maps to PMA/PMD link status bits in 10P/2B\n PMA/PMD status register.")
efmCuPmeFltStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 2), Bits().clone(namedValues=NamedValues(("lossOfFraming", 0), ("snrMgnDefect", 1), ("lineAtnDefect", 2), ("deviceFault", 3), ("configInitFailure", 4), ("protocolInitFailure", 5),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeFltStatus.setDescription('Current/Last PME link Fault Status. This is a bitmap of\n possible conditions. The various bit positions are:\n\n lossOfFraming - Loss of Framing for 10P or\n Loss of Sync word for 2B PMD or\n Loss of 64/65-octet framing.\n\n\n\n snrMgnDefect - SNR margin dropped below the\n threshold.\n lineAtnDefect - Line Attenuation exceeds the\n threshold.\n deviceFault - Indicates a vendor-dependent\n diagnostic or self-test fault\n has been detected.\n configInitFailure - Configuration initialization failure,\n due to inability of the PME link to\n support the configuration profile,\n requested during initialization.\n protocolInitFailure - Protocol initialization failure, due\n to an incompatible protocol used by\n the peer PME during init (that could\n happen if a peer PMD is a regular\n G.SDHSL/VDSL modem instead of a\n 2BASE-TL/10PASS-TS PME).\n\n This object is intended to supplement ifOperStatus in IF-MIB.\n\n This object holds information about the last fault.\n efmCuPmeFltStatus is cleared by the device restart.\n In addition, lossOfFraming, configInitFailure, and\n protocolInitFailure are cleared by PME init;\n deviceFault is cleared by successful diagnostics/test;\n snrMgnDefect and lineAtnDefect are cleared by SNR margin\n and Line attenuation, respectively, returning to norm and by\n PME init.\n\n This object partially maps to the Clause 30 attribute\n aPMEStatus.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object consolidates information from various PMA/PMD\n registers, namely: Fault bit in PMA/PMD status 1 register,\n 10P/2B PMA/PMD link loss register,\n 10P outgoing indicator bits status register,\n 10P incoming indicator bits status register,\n 2B state defects register.')
efmCuPmeOperSubType = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("ieee2BaseTLO", 1), ("ieee2BaseTLR", 2), ("ieee10PassTSO", 3), ("ieee10PassTSR", 4),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeOperSubType.setDescription('Current operational subtype of the PME.\n Possible values are:\n ieee2BaseTLO - PME operates as 2BaseTL-O\n ieee2BaseTLR - PME operates as 2BaseTL-R\n ieee10PassTSO - PME operates as 10PassTS-O\n ieee10PassTSR - PME operates as 10PassTS-R\n\n The desired operational subtype of the PME can be configured\n via the efmCuPmeAdminSubType variable.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object combines values of the Port subtype select\n bits, the PMA/PMD type selection bits in the 10P/2B\n PMA/PMD control register, and the PMA/PMD link status bits in\n the 10P/2B PMA/PMD status register.')
efmCuPmeOperProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 4), EfmProfileIndexOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeOperProfile.setDescription('PME current operating profile. This object is a pointer to\n an entry in either the efmCuPme2BProfileTable or the\n efmCuPme10PProfileTable, depending on the current operating\n SubType of the PME as indicated by efmCuPmeOperSubType.\n Note that a profile entry to which efmCuPmeOperProfile is\n pointing can be created automatically to reflect achieved\n parameters in adaptive (not fixed) initialization,\n i.e., values of efmCuPmeOperProfile and efmCuAdminProfile or\n efmCuPmeAdminProfile may differ.\n The value of zero indicates that the PME is Down or\n Initializing.\n\n This object partially maps to the aOperatingProfile attribute\n in Clause 30.')
efmCuPmeSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeSnrMgn.setDescription('The current Signal to Noise Ratio (SNR) margin with respect\n to the received signal as perceived by the local PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object maps to the aPMESNRMgn attribute in Clause 30.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 10P/2B RX SNR margin register.')
efmCuPmePeerSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmePeerSnrMgn.setDescription('The current SNR margin in dB with respect to the received\n signal, as perceived by the remote (link partner) PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object is irrelevant for the -R PME subtypes. The value\n of 65535 SHALL be returned in this case.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 10P/2B link partner RX SNR margin\n register.')
efmCuPmeLineAtn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeLineAtn.setDescription('The current Line Attenuation in dB as perceived by the local\n PME.\n\n\n\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the Line Attenuation register.')
efmCuPmePeerLineAtn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmePeerLineAtn.setDescription('The current Line Attenuation in dB as perceived by the remote\n (link partner) PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object is irrelevant for the -R PME subtypes. The value\n of 65535 SHALL be returned in this case.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 20P/2B link partner Line Attenuation\n register.')
efmCuPmeEquivalentLength = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 9), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,8192),ValueRangeConstraint(65535,65535),))).setUnits('m').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeEquivalentLength.setDescription("An estimate of the equivalent loop's physical length in\n meters, as perceived by the PME after the link is established.\n An equivalent loop is a hypothetical 26AWG (0.4mm) loop with a\n perfect square root attenuation characteristic, without any\n bridged taps.\n The value of 65535 is returned if the link is Down or\n Initializing or the PME is unable to estimate the equivalent\n length.\n\n For a 10BASE-TL PME, if a Clause 45 MDIO Interface to the PME\n is present, then this object maps to the 10P Electrical Length\n register.")
efmCuPmeTCCodingErrors = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeTCCodingErrors.setDescription('The number of 64/65-octet encapsulation errors. This counter\n is incremented for each 64/65-octet encapsulation error\n detected by the 64/65-octet receive function.\n\n This object maps to aTCCodingViolations attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PME TC is present, then\n this object maps to the TC coding violations register\n (see 45.2.6.12).\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPmeTCCrcErrors = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeTCCrcErrors.setDescription('The number of TC-CRC errors. This counter is incremented for\n each TC-CRC error detected by the 64/65-octet receive function\n (see 61.3.3.3 and Figure 61-19).\n\n This object maps to aTCCRCErrors attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PME TC is present, then\n this object maps to the TC CRC error register\n (see 45.2.6.11).\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPme2B = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 5))
efmCuPme2BProfileTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2), )
if mibBuilder.loadTexts: efmCuPme2BProfileTable.setDescription('This table supports definitions of administrative and\n operating profiles for 2BASE-TL PMEs.\n The first 14 entries in this table SHALL always be defined as\n follows (see 802.3ah Annex 63A):\n -------+-------+-------+-----+------+-------------+-----------\n Profile MinRate MaxRate Power Region Constellation Comment\n index (Kbps) (Kbps) (dBm)\n -------+-------+-------+-----+------+-------------+-----------\n 1 5696 5696 13.5 1 32-TCPAM default\n 2 3072 3072 13.5 1 32-TCPAM\n 3 2048 2048 13.5 1 16-TCPAM\n 4 1024 1024 13.5 1 16-TCPAM\n 5 704 704 13.5 1 16-TCPAM\n 6 512 512 13.5 1 16-TCPAM\n 7 5696 5696 14.5 2 32-TCPAM\n 8 3072 3072 14.5 2 32-TCPAM\n 9 2048 2048 14.5 2 16-TCPAM\n 10 1024 1024 13.5 2 16-TCPAM\n 11 704 704 13.5 2 16-TCPAM\n 12 512 512 13.5 2 16-TCPAM\n 13 192 5696 0 1 0 best effort\n 14 192 5696 0 2 0 best effort\n -------+-------+-------+-----+------+-------------+-----------\n\n These default entries SHALL be created during agent\n initialization and MUST NOT be deleted.\n\n Entries following the first 14 can be dynamically created and\n deleted to provide custom administrative (configuration)\n profiles and automatic operating profiles.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme2BProfileEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme2BProfileIndex"))
if mibBuilder.loadTexts: efmCuPme2BProfileEntry.setDescription("Each entry corresponds to a single 2BASE-TL PME profile.\n Each profile contains a set of parameters, used either for\n configuration or representation of a 2BASE-TL PME.\n In case a particular profile is referenced via the\n efmCuPmeAdminProfile object (or efmCuAdminProfile if\n efmCuPmeAdminProfile is zero), it represents the desired\n parameters for the 2BaseTL-O PME initialization.\n If a profile is referenced via an efmCuPmeOperProfile object,\n it represents the current operating parameters of an\n operational PME.\n\n Profiles may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2BProfileRowStatus. If an\n active entry is referenced, the entry MUST remain 'active'\n until all references are removed.\n Default entries MUST NOT be removed.")
efmCuPme2BProfileIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme2BProfileIndex.setDescription('2BASE-TL PME profile index.\n This object is the unique index associated with this profile.\n Entries in this table are referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile objects.')
efmCuPme2BProfileDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 2), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BProfileDescr.setDescription('A textual string containing information about a 2BASE-TL PME\n profile. The string may include information about the data\n rate and spectral limitations of this particular profile.')
efmCuPme2BRegion = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("region1", 1), ("region2", 2),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BRegion.setDescription('Regional settings for a 2BASE-TL PME, as specified in the\n relevant Regional Annex of [G.991.2].\n Regional settings specify the Power Spectral Density (PSD)\n mask and the Power Back-Off (PBO) values, and place\n limitations on the max allowed data rate, power, and\n constellation.\n\n Possible values for this object are:\n region1 - Annexes A and F (e.g., North America)\n region2 - Annexes B and G (e.g., Europe)\n\n Annex A/B specify regional settings for data rates 192-2304\n Kbps using 16-TCPAM encoding.\n Annex F/G specify regional settings for rates 2320-3840 Kbps\n using 16-TCPAM encoding and 768-5696 Kbps using 32-TCPAM\n encoding.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object partially maps to the Region bits in the 2B general\n parameter register.')
efmCuPme2BsMode = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 4), EfmProfileIndexOrZero()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BsMode.setDescription('Desired custom Spectral Mode for a 2BASE-TL PME. This object\n\n\n\n is a pointer to an entry in efmCuPme2BsModeTable and a block\n of entries in efmCuPme2BRateReachTable, which together define\n (country-specific) reach-dependent rate limitations in\n addition to those defined by efmCuPme2BRegion.\n\n The value of this object is the index of the referenced\n spectral mode.\n The value of zero (default) indicates that no specific\n spectral mode is applicable.\n\n Attempts to set this object to a value that is not the value\n of the index for an active entry in the corresponding spectral\n mode table MUST be rejected.')
efmCuPme2BMinDataRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(192,5696))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMinDataRate.setDescription("Minimum Data Rate for the 2BASE-TL PME.\n This object can take values of (n x 64)Kbps,\n where n=3..60 for 16-TCPAM and n=12..89 for 32-TCPAM encoding.\n\n The data rate of the 2BASE-TL PME is considered 'fixed' when\n the value of this object equals that of efmCuPme2BMaxDataRate.\n If efmCuPme2BMinDataRate is less than efmCuPme2BMaxDataRate in\n the administrative profile, the data rate is considered\n 'adaptive', and SHALL be set to the maximum attainable rate\n not exceeding efmCuPme2BMaxDataRate, under the spectral\n limitations placed by the efmCuPme2BRegion and\n efmCuPme2BsMode.\n\n Note that the current operational data rate of the PME is\n represented by the ifSpeed object of IF-MIB.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Min Data Rate1 bits in the 2B PMD\n parameters register.\n\n This object MUST be maintained in a persistent manner.")
efmCuPme2BMaxDataRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(192,5696))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMaxDataRate.setDescription("Maximum Data Rate for the 2BASE-TL PME.\n This object can take values of (n x 64)Kbps,\n where n=3..60 for 16-TCPAM and n=12..89 for 32-TCPAM encoding.\n\n The data rate of the 2BASE-TL PME is considered 'fixed' when\n the value of this object equals that of efmCuPme2BMinDataRate.\n If efmCuPme2BMinDataRate is less than efmCuPme2BMaxDataRate in\n the administrative profile, the data rate is considered\n 'adaptive', and SHALL be set to the maximum attainable rate\n not exceeding efmCuPme2BMaxDataRate, under the spectral\n limitations placed by the efmCuPme2BRegion and\n efmCuPme2BsMode.\n\n Note that the current operational data rate of the PME is\n represented by the ifSpeed object of IF-MIB.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Max Data Rate1 bits in the 2B PMD\n parameters register.\n\n This object MUST be maintained in a persistent manner.")
efmCuPme2BPower = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 7), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(10,42),))).setUnits('0.5 dBm').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BPower.setDescription('Signal Transmit Power. Multiple of 0.5 dBm.\n The value of 0 in the administrative profile means that the\n signal transmit power is not fixed and SHALL be set to\n maximize the attainable rate, under the spectral limitations\n placed by the efmCuPme2BRegion and efmCuPme2BsMode.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Power1 bits in the 2B PMD parameters\n register.')
efmCuPme2BConstellation = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2,))).clone(namedValues=NamedValues(("adaptive", 0), ("tcpam16", 1), ("tcpam32", 2),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BConstellation.setDescription('TCPAM Constellation of the 2BASE-TL PME.\n The possible values are:\n adaptive(0) - either 16- or 32-TCPAM\n tcpam16(1) - 16-TCPAM\n tcpam32(2) - 32-TCPAM\n\n The value of adaptive(0) in the administrative profile means\n that the constellation is not fixed and SHALL be set to\n maximize the attainable rate, under the spectral limitations\n placed by the efmCuPme2BRegion and efmCuPme2BsMode.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Constellation1 bits in the 2B general\n parameter register.')
efmCuPme2BProfileRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 9), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BProfileRowStatus.setDescription("This object controls the creation, modification, or deletion\n of the associated entry in the efmCuPme2BProfileTable per the\n semantics of RowStatus.\n\n If an 'active' entry is referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile instance(s), the entry MUST remain\n 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme2BsModeTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3), )
if mibBuilder.loadTexts: efmCuPme2BsModeTable.setDescription('This table, together with efmCu2BReachRateTable, supports\n definition of administrative custom spectral modes for\n 2BASE-TL PMEs, describing spectral limitations in addition to\n those specified by efmCuPme2BRegion.\n\n In some countries, spectral regulations (e.g., UK ANFP) limit\n the length of the loops for certain data rates. This table\n allows these country-specific limitations to be specified.\n\n Entries in this table referenced by the efmCuPme2BsMode\n MUST NOT be deleted until all the active references are\n removed.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme2BsModeEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme2BsModeIndex"))
if mibBuilder.loadTexts: efmCuPme2BsModeEntry.setDescription('Each entry specifies a spectral mode description and its\n index, which is used to reference corresponding entries in the\n efmCu2BReachRateTable.\n\n Entries may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2BsModeRowStatus.')
efmCuPme2BsModeIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme2BsModeIndex.setDescription('2BASE-TL PME Spectral Mode index.\n This object is the unique index associated with this spectral\n mode.\n Entries in this table are referenced via the efmCuPme2BsMode\n object.')
efmCuPme2BsModeDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 2), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BsModeDescr.setDescription('A textual string containing information about a 2BASE-TL PME\n spectral mode. The string may include information about\n corresponding (country-specific) spectral regulations\n and rate/reach limitations of this particular spectral mode.')
efmCuPme2BsModeRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 3), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BsModeRowStatus.setDescription("This object controls creation, modification, or deletion of\n the associated entry in efmCuPme2BsModeTable per the semantics\n of RowStatus.\n\n If an 'active' entry is referenced via efmCuPme2BsMode\n instance(s), the entry MUST remain 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme2BReachRateTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4), )
if mibBuilder.loadTexts: efmCuPme2BReachRateTable.setDescription('This table supports the definition of administrative custom\n spectral modes for 2BASE-TL PMEs, providing spectral\n limitations in addition to those specified by\n efmCuPme2BRegion.\n\n\n\n\n The spectral regulations in some countries (e.g., UK ANFP)\n limit the length of the loops for certain data rates.\n This table allows these country-specific limitations to be\n specified.\n\n Below is an example of this table for [ANFP]:\n ----------+-------+-------\n Equivalent MaxRate MaxRate\n Length PAM16 PAM32\n (m) (Kbps) (Kbps)\n ----------+-------+-------\n 975 2304 5696\n 1125 2304 5504\n 1275 2304 5120\n 1350 2304 4864\n 1425 2304 4544\n 1500 2304 4288\n 1575 2304 3968\n 1650 2304 3776\n 1725 2304 3520\n 1800 2304 3264\n 1875 2304 3072\n 1950 2048 2688\n 2100 1792 2368\n 2250 1536 0\n 2400 1408 0\n 2550 1280 0\n 2775 1152 0\n 2925 1152 0\n 3150 1088 0\n 3375 1024 0\n ----------+-------+-------\n\n Entries in this table referenced by an efmCuPme2BsMode\n instance MUST NOT be deleted.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme2BReachRateEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme2BsModeIndex"), (0, "EFM-CU-MIB", "efmCuPme2BReachRateIndex"))
if mibBuilder.loadTexts: efmCuPme2BReachRateEntry.setDescription('Each entry specifies maximum 2BASE-TL PME data rates\n allowed for a certain equivalent loop length, when using\n\n\n\n 16-TCPAM or 32-TCPAM encoding.\n\n When a 2BASE-TL PME is initialized, its data rate MUST NOT\n exceed one of the following limitations:\n - the value of efmCuPme2BMaxDataRate\n - maximum data rate allowed by efmCuPme2BRegion and\n efmCuPme2BPower\n - maximum data rate for a given encoding specified in the\n efmCuPme2BsModeEntry, corresponding to the equivalent loop\n length, estimated by the PME\n\n It is RECOMMENDED that the efmCuPme2BEquivalentLength values\n are assigned in increasing order, starting from the minimum\n value.\n\n Entries may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2ReachRateRowStatus.')
efmCuPme2BReachRateIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme2BReachRateIndex.setDescription('2BASE-TL custom spectral mode Reach-Rate table index.\n This object is the unique index associated with each entry.')
efmCuPme2BEquivalentLength = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,8192))).setUnits('m').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BEquivalentLength.setDescription("Maximum allowed equivalent loop's physical length in meters\n for the specified data rates.\n An equivalent loop is a hypothetical 26AWG (0.4mm) loop with a\n perfect square root attenuation characteristic, without any\n\n\n\n bridged taps.")
efmCuPme2BMaxDataRatePam16 = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 3), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(192,5696),))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMaxDataRatePam16.setDescription("Maximum data rate for a 2BASE-TL PME at the specified\n equivalent loop's length using TC-PAM16 encoding.\n The value of zero means that TC-PAM16 encoding should not be\n used at this distance.")
efmCuPme2BMaxDataRatePam32 = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(192,5696),))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMaxDataRatePam32.setDescription("Maximum data rate for a 2BASE-TL PME at the specified\n equivalent loop's length using TC-PAM32 encoding.\n The value of zero means that TC-PAM32 encoding should not be\n used at this distance.")
efmCuPme2BReachRateRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BReachRateRowStatus.setDescription("This object controls the creation, modification, or deletion\n of the associated entry in the efmCuPme2BReachRateTable per\n the semantics of RowStatus.\n\n If an 'active' entry is referenced via efmCuPme2BsMode\n instance(s), the entry MUST remain 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme10P = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 6))
efmCuPme10PProfileTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1), )
if mibBuilder.loadTexts: efmCuPme10PProfileTable.setDescription('This table supports definitions of configuration profiles for\n 10PASS-TS PMEs.\n The first 22 entries in this table SHALL always be defined as\n follows (see 802.3ah Annex 62B.3, table 62B-1):\n -------+--------+----+---------+-----+-----+---------------\n Profile Bandplan UPBO BandNotch DRate URate Comment\n Index PSDMask# p# p# p# p#\n -------+--------+----+---------+-----+-----+---------------\n 1 1 3 2,6,10,11 20 20 default profile\n 2 13 5 0 20 20\n 3 1 1 0 20 20\n 4 16 0 0 100 100\n 5 16 0 0 70 50\n 6 6 0 0 50 10\n 7 17 0 0 30 30\n 8 8 0 0 30 5\n 9 4 0 0 25 25\n 10 4 0 0 15 15\n 11 23 0 0 10 10\n 12 23 0 0 5 5\n 13 16 0 2,5,9,11 100 100\n 14 16 0 2,5,9,11 70 50\n 15 6 0 2,6,10,11 50 10\n 16 17 0 2,5,9,11 30 30\n 17 8 0 2,6,10,11 30 5\n 18 4 0 2,6,10,11 25 25\n 19 4 0 2,6,10,11 15 15\n 20 23 0 2,5,9,11 10 10\n 21 23 0 2,5,9,11 5 5\n 22 30 0 0 200 50\n -------+--------+----+---------+-----+-----+---------------\n\n These default entries SHALL be created during agent\n initialization and MUST NOT be deleted.\n\n Entries following the first 22 can be dynamically created and\n deleted to provide custom administrative (configuration)\n profiles and automatic operating profiles.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme10PProfileEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme10PProfileIndex"))
if mibBuilder.loadTexts: efmCuPme10PProfileEntry.setDescription("Each entry corresponds to a single 10PASS-TS PME profile.\n\n Each profile contains a set of parameters, used either for\n configuration or representation of a 10PASS-TS PME.\n In case a particular profile is referenced via the\n efmCuPmeAdminProfile object (or efmCuAdminProfile if\n efmCuPmeAdminProfile is zero), it represents the desired\n parameters for the 10PassTS-O PME initialization.\n If a profile is referenced via an efmCuPmeOperProfile object,\n it represents the current operating parameters of the PME.\n\n Profiles may be created/deleted using the row creation/\n deletion mechanism via efmCuPme10PProfileRowStatus. If an\n 'active' entry is referenced, the entry MUST remain 'active'\n until all references are removed.\n Default entries MUST NOT be removed.")
efmCuPme10PProfileIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme10PProfileIndex.setDescription('10PASS-TS PME profile index.\n This object is the unique index associated with this profile.\n Entries in this table are referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile.')
efmCuPme10PProfileDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 2), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PProfileDescr.setDescription('A textual string containing information about a 10PASS-TS PME\n profile. The string may include information about data rate\n and spectral limitations of this particular profile.')
efmCuPme10PBandplanPSDMskProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,))).clone(namedValues=NamedValues(("profile1", 1), ("profile2", 2), ("profile3", 3), ("profile4", 4), ("profile5", 5), ("profile6", 6), ("profile7", 7), ("profile8", 8), ("profile9", 9), ("profile10", 10), ("profile11", 11), ("profile12", 12), ("profile13", 13), ("profile14", 14), ("profile15", 15), ("profile16", 16), ("profile17", 17), ("profile18", 18), ("profile19", 19), ("profile20", 20), ("profile21", 21), ("profile22", 22), ("profile23", 23), ("profile24", 24), ("profile25", 25), ("profile26", 26), ("profile27", 27), ("profile28", 28), ("profile29", 29), ("profile30", 30),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PBandplanPSDMskProfile.setDescription('The 10PASS-TS PME Bandplan and PSD Mask Profile, as specified\n in 802.3ah Annex 62A, table 62A-1. Possible values are:\n --------------+------------------------+------------+--------\n Profile Name PSD Mask Bands G.993.1\n 0/1/2/3/4/5 Bandplan\n --------------+------------------------+------------+--------\n profile1(1) T1.424 FTTCab.M1 x/D/U/D/U A\n profile2(2) T1.424 FTTEx.M1 x/D/U/D/U A\n profile3(3) T1.424 FTTCab.M2 x/D/U/D/U A\n profile4(4) T1.424 FTTEx.M2 x/D/U/D/U A\n profile5(5) T1.424 FTTCab.M1 D/D/U/D/U A\n profile6(6) T1.424 FTTEx.M1 D/D/U/D/U A\n profile7(7) T1.424 FTTCab.M2 D/D/U/D/U A\n profile8(8) T1.424 FTTEx.M2 D/D/U/D/U A\n profile9(9) T1.424 FTTCab.M1 U/D/U/D/x A\n profile10(10) T1.424 FTTEx.M1 U/D/U/D/x A\n profile11(11) T1.424 FTTCab.M2 U/D/U/D/x A\n profile12(12) T1.424 FTTEx.M2 U/D/U/D/x A\n profile13(13) TS 101 270-1 Pcab.M1.A x/D/U/D/U B\n profile14(14) TS 101 270-1 Pcab.M1.B x/D/U/D/U B\n profile15(15) TS 101 270-1 Pex.P1.M1 x/D/U/D/U B\n profile16(16) TS 101 270-1 Pex.P2.M1 x/D/U/D/U B\n profile17(17) TS 101 270-1 Pcab.M2 x/D/U/D/U B\n profile18(18) TS 101 270-1 Pex.P1.M2 x/D/U/D/U B\n profile19(19) TS 101 270-1 Pex.P2.M2 x/D/U/D/U B\n profile20(20) TS 101 270-1 Pcab.M1.A U/D/U/D/x B\n profile21(21) TS 101 270-1 Pcab.M1.B U/D/U/D/x B\n profile22(22) TS 101 270-1 Pex.P1.M1 U/D/U/D/x B\n profile23(23) TS 101 270-1 Pex.P2.M1 U/D/U/D/x B\n profile24(24) TS 101 270-1 Pcab.M2 U/D/U/D/x B\n profile25(25) TS 101 270-1 Pex.P1.M2 U/D/U/D/x B\n profile26(26) TS 101 270-1 Pex.P2.M2 U/D/U/D/x B\n profile27(27) G.993.1 F.1.2.1 x/D/U/D/U Annex F\n profile28(28) G.993.1 F.1.2.2 x/D/U/D/U Annex F\n profile29(29) G.993.1 F.1.2.3 x/D/U/D/U Annex F\n profile30(30) T1.424 FTTCab.M1 (ext.) x/D/U/D/U/D Annex A\n --------------+------------------------+------------+--------\n ')
efmCuPme10PUPBOReferenceProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9,))).clone(namedValues=NamedValues(("profile0", 0), ("profile1", 1), ("profile2", 2), ("profile3", 3), ("profile4", 4), ("profile5", 5), ("profile6", 6), ("profile7", 7), ("profile8", 8), ("profile9", 9),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PUPBOReferenceProfile.setDescription('The 10PASS-TS PME Upstream Power Back-Off (UPBO) Reference\n PSD Profile, as specified in 802.3 Annex 62A, table 62A-3.\n Possible values are:\n ------------+-----------------------------\n Profile Name Reference PSD\n ------------+-----------------------------\n profile0(0) no profile\n profile1(1) T1.424 Noise A M1\n profile2(2) T1.424 Noise A M2\n profile3(3) T1.424 Noise F M1\n profile4(4) T1.424 Noise F M2\n profile5(5) TS 101 270-1 Noise A&B\n profile6(6) TS 101 270-1 Noise C\n profile7(7) TS 101 270-1 Noise D\n profile8(8) TS 101 270-1 Noise E\n profile9(9) TS 101 270-1 Noise F\n ------------+-----------------------------\n ')
efmCuPme10PBandNotchProfiles = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 5), Bits().clone(namedValues=NamedValues(("profile0", 0), ("profile1", 1), ("profile2", 2), ("profile3", 3), ("profile4", 4), ("profile5", 5), ("profile6", 6), ("profile7", 7), ("profile8", 8), ("profile9", 9), ("profile10", 10), ("profile11", 11),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PBandNotchProfiles.setDescription('The 10PASS-TS PME Egress Control Band Notch Profile bitmap,\n as specified in 802.3 Annex 62A, table 62A-4. Possible values\n are:\n --------------+--------+------+------------+------+------\n Profile Name G.991.3 T1.424 TS 101 270-1 StartF EndF\n table table table (MHz) (MHz)\n --------------+--------+------+------------+------+------\n profile0(0) no profile\n profile1(1) F-5 #01 - - 1.810 1.825\n profile2(2) 6-2 15-1 17 1.810 2.000\n profile3(3) F-5 #02 - - 1.907 1.912\n profile4(4) F-5 #03 - - 3.500 3.575\n profile5(5) 6-2 - 17 3.500 3.800\n profile6(6) - 15-1 - 3.500 4.000\n profile7(7) F-5 #04 - - 3.747 3.754\n profile8(8) F-5 #05 - - 3.791 3.805\n profile9(9) 6-2 - 17 7.000 7.100\n profile10(10) F-5 #06 15-1 - 7.000 7.300\n profile11(11) 6-2 15-1 1 10.100 10.150\n --------------+--------+------+------------+------+------\n\n Any combination of profiles can be specified by ORing\n individual profiles, for example, a value of 0x2230 selects\n profiles 2, 6, 10, and 11.')
efmCuPme10PPayloadDRateProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(5, 10, 15, 20, 25, 30, 50, 70, 100, 140, 200,))).clone(namedValues=NamedValues(("profile5", 5), ("profile10", 10), ("profile15", 15), ("profile20", 20), ("profile25", 25), ("profile30", 30), ("profile50", 50), ("profile70", 70), ("profile100", 100), ("profile140", 140), ("profile200", 200),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PPayloadDRateProfile.setDescription("The 10PASS-TS PME Downstream Payload Rate Profile, as\n\n\n\n specified in 802.3 Annex 62A. Possible values are:\n profile5(5) - 2.5 Mbps\n profile10(10) - 5 Mbps\n profile15(15) - 7.5 Mbps\n profile20(20) - 10 Mbps\n profile25(25) - 12.5 Mbps\n profile30(30) - 15 Mbps\n profile50(50) - 25 Mbps\n profile70(70) - 35 Mbps\n profile100(100) - 50 Mbps\n profile140(140) - 70 Mbps\n profile200(200) - 100 Mbps\n\n Each value represents a target for the PME's Downstream\n Payload Bitrate as seen at the MII. If the payload rate of\n the selected profile cannot be achieved based on the loop\n environment, bandplan, and PSD mask, the PME initialization\n SHALL fail.")
efmCuPme10PPayloadURateProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(5, 10, 15, 20, 25, 30, 50, 70, 100,))).clone(namedValues=NamedValues(("profile5", 5), ("profile10", 10), ("profile15", 15), ("profile20", 20), ("profile25", 25), ("profile30", 30), ("profile50", 50), ("profile70", 70), ("profile100", 100),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PPayloadURateProfile.setDescription("The 10PASS-TS PME Upstream Payload Rate Profile, as specified\n in 802.3 Annex 62A. Possible values are:\n profile5(5) - 2.5 Mbps\n profile10(10) - 5 Mbps\n profile15(15) - 7.5 Mbps\n profile20(20) - 10 Mbps\n profile25(25) - 12.5 Mbps\n profile30(30) - 15 Mbps\n profile50(50) - 25 Mbps\n profile70(70) - 35 Mbps\n profile100(100) - 50 Mbps\n\n\n\n Each value represents a target for the PME's Upstream Payload\n Bitrate as seen at the MII. If the payload rate of the\n selected profile cannot be achieved based on the loop\n environment, bandplan, and PSD mask, the PME initialization\n SHALL fail.")
efmCuPme10PProfileRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 8), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PProfileRowStatus.setDescription("This object controls creation, modification, or deletion of\n the associated entry in efmCuPme10PProfileTable per the\n semantics of RowStatus.\n\n If an active entry is referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile, the entry MUST remain 'active' until\n all references are removed.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme10PStatusTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2), )
if mibBuilder.loadTexts: efmCuPme10PStatusTable.setDescription('This table provides status information of EFMCu 10PASS-TS\n PMEs (modems).\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efmCuPme10PStatusEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPme10PStatusEntry.setDescription('An entry in the EFMCu 10PASS-TS PME Status table.')
efmCuPme10PFECCorrectedBlocks = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPme10PFECCorrectedBlocks.setDescription('The number of received and corrected Forward Error Correction\n (FEC) codewords in this 10PASS-TS PME.\n\n This object maps to the aPMEFECCorrectedBlocks attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present,\n then this object maps to the 10P FEC correctable errors\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPme10PFECUncorrectedBlocks = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPme10PFECUncorrectedBlocks.setDescription('The number of received uncorrectable FEC codewords in this\n 10PASS-TS PME.\n\n This object maps to the aPMEFECUncorrectableBlocks attribute\n in Clause 30.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present,\n then this object maps to the 10P FEC uncorrectable errors\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n\n\n\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 2, 1))
efmCuCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 2, 2))
efmCuBasicGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 1)).setObjects(*(("EFM-CU-MIB", "efmCuPAFSupported"), ("EFM-CU-MIB", "efmCuAdminProfile"), ("EFM-CU-MIB", "efmCuTargetDataRate"), ("EFM-CU-MIB", "efmCuTargetSnrMgn"), ("EFM-CU-MIB", "efmCuAdaptiveSpectra"), ("EFM-CU-MIB", "efmCuPortSide"), ("EFM-CU-MIB", "efmCuFltStatus"),))
if mibBuilder.loadTexts: efmCuBasicGroup.setDescription('A collection of objects representing management information\n common for all types of EFMCu ports.')
efmCuPAFGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 2)).setObjects(*(("EFM-CU-MIB", "efmCuPeerPAFSupported"), ("EFM-CU-MIB", "efmCuPAFCapacity"), ("EFM-CU-MIB", "efmCuPeerPAFCapacity"), ("EFM-CU-MIB", "efmCuPAFAdminState"), ("EFM-CU-MIB", "efmCuPAFDiscoveryCode"), ("EFM-CU-MIB", "efmCuPAFRemoteDiscoveryCode"), ("EFM-CU-MIB", "efmCuNumPMEs"),))
if mibBuilder.loadTexts: efmCuPAFGroup.setDescription('A collection of objects supporting OPTIONAL PME\n Aggregation Function (PAF) and PAF discovery in EFMCu ports.')
efmCuPAFErrorsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 3)).setObjects(*(("EFM-CU-MIB", "efmCuPAFInErrors"), ("EFM-CU-MIB", "efmCuPAFInSmallFragments"), ("EFM-CU-MIB", "efmCuPAFInLargeFragments"), ("EFM-CU-MIB", "efmCuPAFInBadFragments"), ("EFM-CU-MIB", "efmCuPAFInLostFragments"), ("EFM-CU-MIB", "efmCuPAFInLostStarts"), ("EFM-CU-MIB", "efmCuPAFInLostEnds"), ("EFM-CU-MIB", "efmCuPAFInOverflows"),))
if mibBuilder.loadTexts: efmCuPAFErrorsGroup.setDescription('A collection of objects supporting OPTIONAL error counters\n of PAF on EFMCu ports.')
efmCuPmeGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 4)).setObjects(*(("EFM-CU-MIB", "efmCuPmeAdminProfile"), ("EFM-CU-MIB", "efmCuPmeOperStatus"), ("EFM-CU-MIB", "efmCuPmeFltStatus"), ("EFM-CU-MIB", "efmCuPmeSubTypesSupported"), ("EFM-CU-MIB", "efmCuPmeAdminSubType"), ("EFM-CU-MIB", "efmCuPmeOperSubType"), ("EFM-CU-MIB", "efmCuPAFRemoteDiscoveryCode"), ("EFM-CU-MIB", "efmCuPmeOperProfile"), ("EFM-CU-MIB", "efmCuPmeSnrMgn"), ("EFM-CU-MIB", "efmCuPmePeerSnrMgn"), ("EFM-CU-MIB", "efmCuPmeLineAtn"), ("EFM-CU-MIB", "efmCuPmePeerLineAtn"), ("EFM-CU-MIB", "efmCuPmeEquivalentLength"), ("EFM-CU-MIB", "efmCuPmeTCCodingErrors"), ("EFM-CU-MIB", "efmCuPmeTCCrcErrors"), ("EFM-CU-MIB", "efmCuPmeThreshLineAtn"), ("EFM-CU-MIB", "efmCuPmeThreshSnrMgn"),))
if mibBuilder.loadTexts: efmCuPmeGroup.setDescription('A collection of objects providing information about\n a 2BASE-TL/10PASS-TS PME.')
efmCuAlarmConfGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 5)).setObjects(*(("EFM-CU-MIB", "efmCuThreshLowRate"), ("EFM-CU-MIB", "efmCuLowRateCrossingEnable"), ("EFM-CU-MIB", "efmCuPmeThreshLineAtn"), ("EFM-CU-MIB", "efmCuPmeLineAtnCrossingEnable"), ("EFM-CU-MIB", "efmCuPmeThreshSnrMgn"), ("EFM-CU-MIB", "efmCuPmeSnrMgnCrossingEnable"), ("EFM-CU-MIB", "efmCuPmeDeviceFaultEnable"), ("EFM-CU-MIB", "efmCuPmeConfigInitFailEnable"), ("EFM-CU-MIB", "efmCuPmeProtocolInitFailEnable"),))
if mibBuilder.loadTexts: efmCuAlarmConfGroup.setDescription('A collection of objects supporting configuration of alarm\n thresholds and notifications in EFMCu ports.')
efmCuNotificationGroup = NotificationGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 6)).setObjects(*(("EFM-CU-MIB", "efmCuLowRateCrossing"), ("EFM-CU-MIB", "efmCuPmeLineAtnCrossing"), ("EFM-CU-MIB", "efmCuPmeSnrMgnCrossing"), ("EFM-CU-MIB", "efmCuPmeDeviceFault"), ("EFM-CU-MIB", "efmCuPmeConfigInitFailure"), ("EFM-CU-MIB", "efmCuPmeProtocolInitFailure"),))
if mibBuilder.loadTexts: efmCuNotificationGroup.setDescription('This group supports notifications of significant conditions\n associated with EFMCu ports.')
efmCuPme2BProfileGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 7)).setObjects(*(("EFM-CU-MIB", "efmCuPme2BProfileDescr"), ("EFM-CU-MIB", "efmCuPme2BRegion"), ("EFM-CU-MIB", "efmCuPme2BsMode"), ("EFM-CU-MIB", "efmCuPme2BMinDataRate"), ("EFM-CU-MIB", "efmCuPme2BMaxDataRate"), ("EFM-CU-MIB", "efmCuPme2BPower"), ("EFM-CU-MIB", "efmCuPme2BConstellation"), ("EFM-CU-MIB", "efmCuPme2BProfileRowStatus"), ("EFM-CU-MIB", "efmCuPme2BsModeDescr"), ("EFM-CU-MIB", "efmCuPme2BsModeRowStatus"), ("EFM-CU-MIB", "efmCuPme2BEquivalentLength"), ("EFM-CU-MIB", "efmCuPme2BMaxDataRatePam16"), ("EFM-CU-MIB", "efmCuPme2BMaxDataRatePam32"), ("EFM-CU-MIB", "efmCuPme2BReachRateRowStatus"),))
if mibBuilder.loadTexts: efmCuPme2BProfileGroup.setDescription('A collection of objects that constitute a configuration\n\n\n\n profile for configuration of 2BASE-TL ports.')
efmCuPme10PProfileGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 8)).setObjects(*(("EFM-CU-MIB", "efmCuPme10PProfileDescr"), ("EFM-CU-MIB", "efmCuPme10PBandplanPSDMskProfile"), ("EFM-CU-MIB", "efmCuPme10PUPBOReferenceProfile"), ("EFM-CU-MIB", "efmCuPme10PBandNotchProfiles"), ("EFM-CU-MIB", "efmCuPme10PPayloadDRateProfile"), ("EFM-CU-MIB", "efmCuPme10PPayloadURateProfile"), ("EFM-CU-MIB", "efmCuPme10PProfileRowStatus"),))
if mibBuilder.loadTexts: efmCuPme10PProfileGroup.setDescription('A collection of objects that constitute a configuration\n profile for configuration of 10PASS-TS ports.')
efmCuPme10PStatusGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 9)).setObjects(*(("EFM-CU-MIB", "efmCuPme10PFECCorrectedBlocks"), ("EFM-CU-MIB", "efmCuPme10PFECUncorrectedBlocks"),))
if mibBuilder.loadTexts: efmCuPme10PStatusGroup.setDescription('A collection of objects providing status information\n specific to 10PASS-TS PMEs.')
efmCuCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 167, 2, 2, 1)).setObjects(*(("EFM-CU-MIB", "efmCuBasicGroup"), ("EFM-CU-MIB", "efmCuPmeGroup"), ("EFM-CU-MIB", "efmCuAlarmConfGroup"), ("EFM-CU-MIB", "efmCuNotificationGroup"), ("EFM-CU-MIB", "efmCuPme2BProfileGroup"), ("EFM-CU-MIB", "efmCuPme10PProfileGroup"), ("EFM-CU-MIB", "efmCuPAFGroup"), ("EFM-CU-MIB", "efmCuPAFErrorsGroup"), ("EFM-CU-MIB", "efmCuPme10PStatusGroup"),))
if mibBuilder.loadTexts: efmCuCompliance.setDescription('The compliance statement for 2BASE-TL/10PASS-TS interfaces.\n Compliance with the following external compliance statements\n is REQUIRED:\n\n MIB Module Compliance Statement\n ---------- --------------------\n IF-MIB ifCompliance3\n EtherLike-MIB dot3Compliance2\n MAU-MIB mauModIfCompl3\n\n Compliance with the following external compliance statements\n is OPTIONAL for implementations supporting PME Aggregation\n Function (PAF) with flexible cross-connect between the PCS\n\n\n\n and PME ports:\n\n MIB Module Compliance Statement\n ---------- --------------------\n IF-INVERTED-STACK-MIB ifInvCompliance\n IF-CAP-STACK-MIB ifCapStackCompliance')
mibBuilder.exportSymbols("EFM-CU-MIB", efmCuPmeEquivalentLength=efmCuPmeEquivalentLength, efmCuPme2BMinDataRate=efmCuPme2BMinDataRate, efmCuLowRateCrossing=efmCuLowRateCrossing, efmCuPme2BMaxDataRatePam16=efmCuPme2BMaxDataRatePam16, efmCuAdminProfile=efmCuAdminProfile, efmCuPme10PProfileRowStatus=efmCuPme10PProfileRowStatus, efmCuPortCapabilityTable=efmCuPortCapabilityTable, efmCuPmeCapabilityTable=efmCuPmeCapabilityTable, efmCuPortSide=efmCuPortSide, efmCuPmeOperSubType=efmCuPmeOperSubType, efmCuPmeSnrMgnCrossingEnable=efmCuPmeSnrMgnCrossingEnable, efmCuPmeSnrMgnCrossing=efmCuPmeSnrMgnCrossing, efmCuPme10PBandplanPSDMskProfile=efmCuPme10PBandplanPSDMskProfile, PYSNMP_MODULE_ID=efmCuMIB, efmCuPme10PFECCorrectedBlocks=efmCuPme10PFECCorrectedBlocks, efmCuPAFInBadFragments=efmCuPAFInBadFragments, efmCuThreshLowRate=efmCuThreshLowRate, efmCuPme10PStatusTable=efmCuPme10PStatusTable, efmCuGroups=efmCuGroups, efmCuPAFErrorsGroup=efmCuPAFErrorsGroup, efmCuPme2BReachRateRowStatus=efmCuPme2BReachRateRowStatus, efmCuPme10PStatusGroup=efmCuPme10PStatusGroup, efmCuPortStatusTable=efmCuPortStatusTable, efmCuPme10PPayloadURateProfile=efmCuPme10PPayloadURateProfile, EfmProfileIndex=EfmProfileIndex, efmCuPmeSnrMgn=efmCuPmeSnrMgn, efmCuPAFDiscoveryCode=efmCuPAFDiscoveryCode, efmCuTargetDataRate=efmCuTargetDataRate, efmCuPme10P=efmCuPme10P, efmCuPmeLineAtnCrossing=efmCuPmeLineAtnCrossing, efmCuPmeConfEntry=efmCuPmeConfEntry, efmCuPme2BsModeTable=efmCuPme2BsModeTable, efmCuPmeStatusEntry=efmCuPmeStatusEntry, efmCuPortNotifications=efmCuPortNotifications, efmCuCompliance=efmCuCompliance, efmCuPme10PProfileIndex=efmCuPme10PProfileIndex, efmCuPAFAdminState=efmCuPAFAdminState, efmCuPme10PPayloadDRateProfile=efmCuPme10PPayloadDRateProfile, efmCuNotificationGroup=efmCuNotificationGroup, efmCuPme2BProfileDescr=efmCuPme2BProfileDescr, efmCuPmeProtocolInitFailure=efmCuPmeProtocolInitFailure, efmCuObjects=efmCuObjects, efmCuPAFSupported=efmCuPAFSupported, efmCuBasicGroup=efmCuBasicGroup, efmCuPme2BsModeDescr=efmCuPme2BsModeDescr, efmCuPmeConfigInitFailEnable=efmCuPmeConfigInitFailEnable, efmCuPme2BPower=efmCuPme2BPower, efmCuPmeDeviceFaultEnable=efmCuPmeDeviceFaultEnable, efmCuPmeGroup=efmCuPmeGroup, efmCuAdaptiveSpectra=efmCuAdaptiveSpectra, efmCuPmeAdminSubType=efmCuPmeAdminSubType, efmCuPeerPAFSupported=efmCuPeerPAFSupported, efmCuCompliances=efmCuCompliances, efmCuPAFInOverflows=efmCuPAFInOverflows, efmCuPAFGroup=efmCuPAFGroup, efmCuPme2BProfileRowStatus=efmCuPme2BProfileRowStatus, efmCuPmeSubTypesSupported=efmCuPmeSubTypesSupported, efmCuMIB=efmCuMIB, efmCuPme2BProfileGroup=efmCuPme2BProfileGroup, efmCuPme2BMaxDataRatePam32=efmCuPme2BMaxDataRatePam32, efmCuPme=efmCuPme, efmCuPme2BProfileIndex=efmCuPme2BProfileIndex, efmCuPAFInSmallFragments=efmCuPAFInSmallFragments, efmCuPmeLineAtn=efmCuPmeLineAtn, EfmProfileIndexOrZero=EfmProfileIndexOrZero, efmCuPortStatusEntry=efmCuPortStatusEntry, efmCuPmeAdminProfile=efmCuPmeAdminProfile, efmCuPeerPAFCapacity=efmCuPeerPAFCapacity, efmCuConformance=efmCuConformance, efmCuPAFCapacity=efmCuPAFCapacity, efmCuPme2BEquivalentLength=efmCuPme2BEquivalentLength, efmCuPme2BProfileTable=efmCuPme2BProfileTable, efmCuTargetSnrMgn=efmCuTargetSnrMgn, efmCuPme2BReachRateEntry=efmCuPme2BReachRateEntry, efmCuPme10PUPBOReferenceProfile=efmCuPme10PUPBOReferenceProfile, efmCuPme2BConstellation=efmCuPme2BConstellation, efmCuPme10PProfileEntry=efmCuPme10PProfileEntry, efmCuPme2BMaxDataRate=efmCuPme2BMaxDataRate, efmCuAlarmConfGroup=efmCuAlarmConfGroup, efmCuPortCapabilityEntry=efmCuPortCapabilityEntry, efmCuLowRateCrossingEnable=efmCuLowRateCrossingEnable, efmCuPme10PBandNotchProfiles=efmCuPme10PBandNotchProfiles, EfmTruthValueOrUnknown=EfmTruthValueOrUnknown, efmCuPme2BsModeRowStatus=efmCuPme2BsModeRowStatus, efmCuPAFInLostStarts=efmCuPAFInLostStarts, efmCuPmeProtocolInitFailEnable=efmCuPmeProtocolInitFailEnable, efmCuPmeCapabilityEntry=efmCuPmeCapabilityEntry, efmCuPme2BReachRateIndex=efmCuPme2BReachRateIndex, efmCuPmeConfigInitFailure=efmCuPmeConfigInitFailure, efmCuPort=efmCuPort, efmCuNumPMEs=efmCuNumPMEs, efmCuPmeNotifications=efmCuPmeNotifications, efmCuPmePeerLineAtn=efmCuPmePeerLineAtn, efmCuPme2B=efmCuPme2B, efmCuPmeDeviceFault=efmCuPmeDeviceFault, efmCuPmeLineAtnCrossingEnable=efmCuPmeLineAtnCrossingEnable, efmCuPmeOperStatus=efmCuPmeOperStatus, efmCuPme10PFECUncorrectedBlocks=efmCuPme10PFECUncorrectedBlocks, efmCuPme2BProfileEntry=efmCuPme2BProfileEntry, efmCuPme10PProfileGroup=efmCuPme10PProfileGroup, efmCuPmeThreshSnrMgn=efmCuPmeThreshSnrMgn, efmCuFltStatus=efmCuFltStatus, efmCuPme2BsMode=efmCuPme2BsMode, efmCuPme2BRegion=efmCuPme2BRegion, efmCuPme10PStatusEntry=efmCuPme10PStatusEntry, efmCuPAFInErrors=efmCuPAFInErrors, efmCuPAFInLargeFragments=efmCuPAFInLargeFragments, efmCuPAFInLostFragments=efmCuPAFInLostFragments, efmCuPAFRemoteDiscoveryCode=efmCuPAFRemoteDiscoveryCode, efmCuPmeConfTable=efmCuPmeConfTable, efmCuPme2BReachRateTable=efmCuPme2BReachRateTable, efmCuPmeThreshLineAtn=efmCuPmeThreshLineAtn, efmCuPmeStatusTable=efmCuPmeStatusTable, efmCuPortConfEntry=efmCuPortConfEntry, efmCuPmeFltStatus=efmCuPmeFltStatus, efmCuPme2BsModeIndex=efmCuPme2BsModeIndex, efmCuPmePeerSnrMgn=efmCuPmePeerSnrMgn, efmCuPmeTCCrcErrors=efmCuPmeTCCrcErrors, efmCuPAFInLostEnds=efmCuPAFInLostEnds, EfmProfileIndexList=EfmProfileIndexList, efmCuPmeOperProfile=efmCuPmeOperProfile, efmCuPme10PProfileDescr=efmCuPme10PProfileDescr, efmCuPortConfTable=efmCuPortConfTable, efmCuPme10PProfileTable=efmCuPme10PProfileTable, efmCuPme2BsModeEntry=efmCuPme2BsModeEntry, efmCuPmeTCCodingErrors=efmCuPmeTCCodingErrors)
| 421.406716
| 5,590
| 0.695193
| 15,631
| 112,937
| 5.022008
| 0.086495
| 0.007516
| 0.005312
| 0.006166
| 0.528198
| 0.486286
| 0.435713
| 0.40347
| 0.376986
| 0.354208
| 0
| 0.057091
| 0.205601
| 112,937
| 267
| 5,591
| 422.985019
| 0.817872
| 0.002621
| 0
| 0.007813
| 0
| 0.40625
| 0.714788
| 0.045964
| 0
| 0
| 0.000089
| 0
| 0.003906
| 1
| 0
| false
| 0.167969
| 0.03125
| 0
| 0.078125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
7a11209200d1fe4cc4eee19b9d5763af33cfdee4
| 219
|
py
|
Python
|
database_study_police/classes/admin.py
|
dustyRAIN/Study_Police
|
9605a1e548732be2982abfbe7c66acd492710d23
|
[
"MIT"
] | null | null | null |
database_study_police/classes/admin.py
|
dustyRAIN/Study_Police
|
9605a1e548732be2982abfbe7c66acd492710d23
|
[
"MIT"
] | null | null | null |
database_study_police/classes/admin.py
|
dustyRAIN/Study_Police
|
9605a1e548732be2982abfbe7c66acd492710d23
|
[
"MIT"
] | 1
|
2021-07-25T19:54:02.000Z
|
2021-07-25T19:54:02.000Z
|
from django.contrib import admin
from .models import Classroom, ClassHasStudent
class UserAdmin(admin.ModelAdmin):
pass
admin.site.register(Classroom, UserAdmin)
admin.site.register(ClassHasStudent, UserAdmin)
| 18.25
| 47
| 0.808219
| 25
| 219
| 7.08
| 0.56
| 0.158192
| 0.19209
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114155
| 219
| 11
| 48
| 19.909091
| 0.912371
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.166667
| 0.333333
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
e1771d0402dc580081f57a1dcae1be5d64bf5b21
| 78
|
py
|
Python
|
blaster/aws/__init__.py
|
abhinavabcd/blaster
|
e395ec3efa60bb3f197527837c90a05071e65da9
|
[
"MIT"
] | 4
|
2018-07-23T19:52:50.000Z
|
2022-01-06T11:45:24.000Z
|
blaster/aws/__init__.py
|
abhinavabcd/blaster
|
e395ec3efa60bb3f197527837c90a05071e65da9
|
[
"MIT"
] | null | null | null |
blaster/aws/__init__.py
|
abhinavabcd/blaster
|
e395ec3efa60bb3f197527837c90a05071e65da9
|
[
"MIT"
] | null | null | null |
# from . import push_tasks
# from . import s3_utils
# from . import ses_utils
| 19.5
| 26
| 0.730769
| 12
| 78
| 4.5
| 0.583333
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015873
| 0.192308
| 78
| 3
| 27
| 26
| 0.84127
| 0.910256
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e17ddb21615cb033787d3f9cb7faf993fbef3b31
| 1,408
|
py
|
Python
|
state_tracker/state_defs.py
|
hacknaman/glStream
|
e7de3cc039c860886ba298400e2008d6e1076f50
|
[
"MIT"
] | null | null | null |
state_tracker/state_defs.py
|
hacknaman/glStream
|
e7de3cc039c860886ba298400e2008d6e1076f50
|
[
"MIT"
] | null | null | null |
state_tracker/state_defs.py
|
hacknaman/glStream
|
e7de3cc039c860886ba298400e2008d6e1076f50
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2001, Stanford University
# All rights reserved.
#
# See the file LICENSE.txt for information on redistributing this software.
import sys
sys.path.append( "../glapi_parser" )
import apiutil
apiutil.CopyrightDef()
print """
EXPORTS
"""
keys = apiutil.GetDispatchedFunctions("../glapi_parser/APIspec.txt")
for func_name in apiutil.AllSpecials( 'state' ):
print "crState%s" % func_name
for func_name in apiutil.AllSpecials( 'state_feedback' ):
print "crStateFeedback%s" % func_name
for func_name in apiutil.AllSpecials( 'state_select' ):
print "crStateSelect%s" % func_name
print """crStateInit
crStateReadPixels
crStateGetChromiumParametervCR
crStateCreateContext
crStateDestroyContext
crStateFreeContext
crStateDiffContext
crStateSwitchContext
crStateMakeCurrent
crStateSetCurrent
crStateFlushFunc
crStateFlushArg
crStateDiffAPI
crStateSetCurrentPointers
crStateCurrentRecover
crStateTransformUpdateTransform
crStateColorMaterialRecover
crStateError
crStateUpdateColorBits
crStateClientInit
crStateGetCurrent
crStateLimitsInit
crStateMergeExtensions
crStateRasterPosUpdate
crStateTextureCheckDirtyImages
crStateExtensionsInit
crStateSetExtensionString
crStateNativePixelPacking
crStateUseServerArrays
crStateUseServerArrayElements
crStateComputeVersion
crStateTransformXformPointMatrixf
crStateTransformXformPointMatrixd
crStateInitMatrixStack
crStateLoadMatrix
__currentBits
"""
| 21.333333
| 75
| 0.862926
| 114
| 1,408
| 10.552632
| 0.692982
| 0.0399
| 0.027431
| 0.032419
| 0.104738
| 0.104738
| 0.104738
| 0.074813
| 0.074813
| 0.074813
| 0
| 0.003101
| 0.083807
| 1,408
| 65
| 76
| 21.661538
| 0.929457
| 0.09517
| 0
| 0.039216
| 0
| 0
| 0.723404
| 0.401103
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0.039216
| null | null | 0.098039
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
e18eb3c53d15e3c5480a04f0080f57f637639243
| 98
|
py
|
Python
|
uvindx_info_lambda.py
|
sozonnyk/uvindx.info
|
0912f4f296b6ba64e7ed09e84f4a5389ee0d5ca2
|
[
"MIT"
] | null | null | null |
uvindx_info_lambda.py
|
sozonnyk/uvindx.info
|
0912f4f296b6ba64e7ed09e84f4a5389ee0d5ca2
|
[
"MIT"
] | null | null | null |
uvindx_info_lambda.py
|
sozonnyk/uvindx.info
|
0912f4f296b6ba64e7ed09e84f4a5389ee0d5ca2
|
[
"MIT"
] | null | null | null |
from uvindx_info import UvIndexService
def handler(event, context):
UvIndexService().main()
| 16.333333
| 38
| 0.765306
| 11
| 98
| 6.727273
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 98
| 5
| 39
| 19.6
| 0.880952
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bedbad9aee903213dec32989bbb9fa9efc1e1daf
| 2,625
|
py
|
Python
|
src/pyherc/test/__init__.py
|
tuturto/pyherc
|
4e7c72a4d80d335f7d3c48cecac96cd7105acac4
|
[
"MIT"
] | 25
|
2015-07-21T12:40:42.000Z
|
2021-09-23T09:00:45.000Z
|
src/pyherc/test/__init__.py
|
tuturto/pyherc
|
4e7c72a4d80d335f7d3c48cecac96cd7105acac4
|
[
"MIT"
] | 65
|
2015-02-15T19:42:19.000Z
|
2018-01-03T10:22:35.000Z
|
src/pyherc/test/__init__.py
|
tuturto/pyherc
|
4e7c72a4d80d335f7d3c48cecac96cd7105acac4
|
[
"MIT"
] | 3
|
2017-06-15T13:07:49.000Z
|
2019-04-15T02:18:39.000Z
|
# -*- coding: utf-8 -*-
# Copyright (c) 2010-2017 Tuukka Turto
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
"""
Package for tests
"""
from pyherc.test.unit.test_bsp import *
from pyherc.test.unit.test_calendar import *
from pyherc.test.unit.test_caltrops import *
from pyherc.test.unit.test_drop_actions import *
from pyherc.test.unit.test_effectscollection import *
from pyherc.test.unit.test_fsm import *
from pyherc.test.unit.test_flying import *
from pyherc.test.unit.test_graves import *
from pyherc.test.unit.test_item import *
from pyherc.test.unit.test_level_change import *
from pyherc.test.unit.test_level_config import *
from pyherc.test.unit.test_library_generator import *
from pyherc.test.unit.test_locations import *
from pyherc.test.unit.test_lunge import *
from pyherc.test.unit.test_markov import *
from pyherc.test.unit.test_metamorphosis import *
from pyherc.test.unit.test_mitosis import *
from pyherc.test.unit.test_movement_mode import *
from pyherc.test.unit.test_overlapping_matcher import *
from pyherc.test.unit.test_overlays import *
from pyherc.test.unit.test_pulling import *
from pyherc.test.unit.test_roomgenerators import *
from pyherc.test.unit.test_section import *
from pyherc.test.unit.test_shoes import *
from pyherc.test.unit.test_sizes import *
from pyherc.test.unit.test_skills import *
from pyherc.test.unit.test_solver import *
from pyherc.test.unit.test_spawner import *
from pyherc.test.unit.test_surround_decorator import *
from pyherc.test.unit.test_time import *
from pyherc.test.unit.test_trapgeneration import *
from pyherc.test.unit.test_trapping import *
| 45.258621
| 79
| 0.798857
| 406
| 2,625
| 5.068966
| 0.352217
| 0.155491
| 0.217687
| 0.279883
| 0.437318
| 0.426628
| 0.03207
| 0
| 0
| 0
| 0
| 0.003922
| 0.125714
| 2,625
| 57
| 80
| 46.052632
| 0.89281
| 0.41981
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bef8064b82a2417d001df1ab2a4c7c5a4a48732e
| 4,948
|
py
|
Python
|
tests/test_02_simple_dependency.py
|
SelfHacked/pytest-dependency
|
f424eee2efd028982d7df100d105743d58a35351
|
[
"Apache-2.0"
] | null | null | null |
tests/test_02_simple_dependency.py
|
SelfHacked/pytest-dependency
|
f424eee2efd028982d7df100d105743d58a35351
|
[
"Apache-2.0"
] | null | null | null |
tests/test_02_simple_dependency.py
|
SelfHacked/pytest-dependency
|
f424eee2efd028982d7df100d105743d58a35351
|
[
"Apache-2.0"
] | 1
|
2021-06-03T12:04:48.000Z
|
2021-06-03T12:04:48.000Z
|
"""
Simple dependencies between tests.
"""
def test_no_skip(ctestdir):
"""One test is skipped, but no other test depends on it,
so all other tests pass.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pytest.skip("explicit skip")
@pytest.mark.dependency()
def test_b():
pass
@pytest.mark.dependency(depends=["test_b"])
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=3, skipped=1, failed=0)
result.stdout.fnmatch_lines("""
*::test_a SKIPPED
*::test_b PASSED
*::test_c PASSED
*::test_d PASSED
""")
def test_skip_depend(ctestdir):
"""One test is skipped, other dependent tests are skipped as well.
This also includes indirect dependencies.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
pytest.skip("explicit skip")
@pytest.mark.dependency(depends=["test_b"])
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=1, skipped=3, failed=0)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b SKIPPED
*::test_c SKIPPED
*::test_d SKIPPED
""")
def test_fail_depend(ctestdir):
"""One test fails, other dependent tests are skipped.
This also includes indirect dependencies.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
assert False
@pytest.mark.dependency(depends=["test_b"])
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=1, skipped=2, failed=1)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b FAILED
*::test_c SKIPPED
*::test_d SKIPPED
""")
def test_named_fail_depend(ctestdir):
"""Same as test_fail_depend, but using custom test names.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency(name="a")
def test_a():
pass
@pytest.mark.dependency(name="b")
def test_b():
assert False
@pytest.mark.dependency(name="c", depends=["b"])
def test_c():
pass
@pytest.mark.dependency(name="d", depends=["c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=1, skipped=2, failed=1)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b FAILED
*::test_c SKIPPED
*::test_d SKIPPED
""")
def test_explicit_select(ctestdir):
"""Explicitly select only a single test that depends on another one.
Since the other test has not been run at all, the selected test
will be skipped.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
pass
@pytest.mark.dependency()
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose", "test_explicit_select.py::test_d")
result.assert_outcomes(passed=0, skipped=1, failed=0)
result.stdout.fnmatch_lines("""
*::test_d SKIPPED
""")
def test_depend_unknown(ctestdir):
"""Depend on an unknown test that is not even defined in the test set.
Note that is not an error to depend on an undefined test, but the
dependent test will be skipped since the non-existent dependency
has not been run successfully.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
pass
@pytest.mark.dependency()
def test_c():
pass
@pytest.mark.dependency(depends=["test_x"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=3, skipped=1, failed=0)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b PASSED
*::test_c PASSED
*::test_d SKIPPED
""")
| 24.374384
| 79
| 0.568108
| 567
| 4,948
| 4.811287
| 0.164021
| 0.076979
| 0.175953
| 0.123167
| 0.759164
| 0.711877
| 0.711877
| 0.665689
| 0.605938
| 0.590176
| 0
| 0.00524
| 0.30578
| 4,948
| 202
| 80
| 24.49505
| 0.788937
| 0.151779
| 0
| 0.879433
| 0
| 0
| 0.696733
| 0.206972
| 0
| 0
| 0
| 0
| 0.056738
| 1
| 0.042553
| false
| 0.248227
| 0.042553
| 0
| 0.085106
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
834d801aa65513a18c02896004937d3755d574ca
| 34
|
py
|
Python
|
mergecli/__main__.py
|
srp33/ShapeShifter-CLI
|
00988234285b00f459e3257e13af71dd889e5c39
|
[
"MIT"
] | 1
|
2019-03-11T14:22:33.000Z
|
2019-03-11T14:22:33.000Z
|
mergecli/__main__.py
|
srp33/ExpressionAble-CLI
|
00988234285b00f459e3257e13af71dd889e5c39
|
[
"MIT"
] | null | null | null |
mergecli/__main__.py
|
srp33/ExpressionAble-CLI
|
00988234285b00f459e3257e13af71dd889e5c39
|
[
"MIT"
] | null | null | null |
from .mergecli import main
main()
| 11.333333
| 26
| 0.764706
| 5
| 34
| 5.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147059
| 34
| 3
| 27
| 11.333333
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8352387176ba6a7f8d679c97c046883e823d3da0
| 176
|
py
|
Python
|
paypal/exceptions.py
|
brat000012001/django-oscar-paypal
|
37ea5c71c1d4f1e8f0edacfa32561bb521ccc0db
|
[
"BSD-3-Clause"
] | 4
|
2019-12-26T17:27:12.000Z
|
2021-04-30T04:04:47.000Z
|
paypal/exceptions.py
|
brat000012001/django-oscar-paypal
|
37ea5c71c1d4f1e8f0edacfa32561bb521ccc0db
|
[
"BSD-3-Clause"
] | null | null | null |
paypal/exceptions.py
|
brat000012001/django-oscar-paypal
|
37ea5c71c1d4f1e8f0edacfa32561bb521ccc0db
|
[
"BSD-3-Clause"
] | 3
|
2016-12-04T08:27:58.000Z
|
2018-01-25T05:53:45.000Z
|
try:
from oscar.apps.payment.exceptions import PaymentError
except ImportError:
class PaymentError(Exception):
pass
class PayPalError(PaymentError):
pass
| 17.6
| 58
| 0.738636
| 18
| 176
| 7.222222
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.198864
| 176
| 9
| 59
| 19.555556
| 0.921986
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.285714
| 0.285714
| 0
| 0.571429
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
8362a090b67c1162541f23b2d5bf051c7b92102d
| 91
|
py
|
Python
|
enthought/enable/example_support.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/enable/example_support.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/enable/example_support.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from enable.example_support import *
| 22.75
| 38
| 0.846154
| 12
| 91
| 5.916667
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120879
| 91
| 3
| 39
| 30.333333
| 0.8875
| 0.131868
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
55df9e4a54ea8ca1f1b144e7872acc8a72af20bb
| 670
|
py
|
Python
|
src/seabreeze/pyseabreeze/features/introspection.py
|
moritzj29/python-seabreeze
|
8bc579b1efecab106a96835d867244f93b8b40bc
|
[
"MIT"
] | null | null | null |
src/seabreeze/pyseabreeze/features/introspection.py
|
moritzj29/python-seabreeze
|
8bc579b1efecab106a96835d867244f93b8b40bc
|
[
"MIT"
] | null | null | null |
src/seabreeze/pyseabreeze/features/introspection.py
|
moritzj29/python-seabreeze
|
8bc579b1efecab106a96835d867244f93b8b40bc
|
[
"MIT"
] | null | null | null |
from seabreeze.pyseabreeze.features._base import SeaBreezeFeature
# Definition
# ==========
#
# TODO: This feature needs to be implemented for pyseabreeze
#
class SeaBreezeIntrospectionFeature(SeaBreezeFeature):
identifier = 'introspection'
def number_of_pixels(self):
raise NotImplementedError("implement in derived class")
def get_active_pixel_ranges(self):
raise NotImplementedError("implement in derived class")
def get_optical_dark_pixel_ranges(self):
raise NotImplementedError("implement in derived class")
def get_electric_dark_pixel_ranges(self):
raise NotImplementedError("implement in derived class")
| 29.130435
| 65
| 0.753731
| 71
| 670
| 6.915493
| 0.521127
| 0.07332
| 0.228106
| 0.301426
| 0.535642
| 0.535642
| 0.535642
| 0.535642
| 0.535642
| 0.419552
| 0
| 0
| 0.167164
| 670
| 22
| 66
| 30.454545
| 0.879928
| 0.120896
| 0
| 0.363636
| 0
| 0
| 0.200686
| 0
| 0
| 0
| 0
| 0.045455
| 0
| 1
| 0.363636
| false
| 0
| 0.090909
| 0
| 0.636364
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
55e134b649d233581ca2a824fe069b967d3c99ae
| 144
|
py
|
Python
|
Final Project violin/Code/cmdCode/cmd_viewTruth.py
|
SweetSourPeter/violin
|
91abf09442c990968650e61f33ffb19e14214968
|
[
"MIT"
] | null | null | null |
Final Project violin/Code/cmdCode/cmd_viewTruth.py
|
SweetSourPeter/violin
|
91abf09442c990968650e61f33ffb19e14214968
|
[
"MIT"
] | null | null | null |
Final Project violin/Code/cmdCode/cmd_viewTruth.py
|
SweetSourPeter/violin
|
91abf09442c990968650e61f33ffb19e14214968
|
[
"MIT"
] | null | null | null |
import click
from functions.openFiles import openTruthTable
@click.command()
def cli():
openTruthTable()
click.echo('----Open Now----')
| 20.571429
| 46
| 0.701389
| 16
| 144
| 6.3125
| 0.75
| 0.376238
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 144
| 7
| 47
| 20.571429
| 0.814516
| 0
| 0
| 0
| 0
| 0
| 0.110345
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.333333
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
55e1414720d16dee188cc334464e4a92bbe618f6
| 36,579
|
py
|
Python
|
rubiks_cube.py
|
mclaybaugh/pycube-solver
|
ea4b6fce8127e0f2d050910809291c5cf1b350a6
|
[
"MIT"
] | null | null | null |
rubiks_cube.py
|
mclaybaugh/pycube-solver
|
ea4b6fce8127e0f2d050910809291c5cf1b350a6
|
[
"MIT"
] | null | null | null |
rubiks_cube.py
|
mclaybaugh/pycube-solver
|
ea4b6fce8127e0f2d050910809291c5cf1b350a6
|
[
"MIT"
] | null | null | null |
# Possible cube moves/rotations
# Bottom (down) clockwise, counter - D, Dc
# Bottom and middle - d, dc
# Top (up) - U, Uc, u, uc
# Right - R, Rc, r, rc
# Left - L, Lc, l, lc
# Front - F, Fc, f, fc
# Back - B, Bc, b, bc
# Perspective shifts
# notated with which axis (x, y, z) it turns around and direction
# yc means the cube rotates around the y-axis (vertical line) counter-clockwise
import random #for scramble function
# List of cube sides
WHITE = 0
GREEN = 1
RED = 2
ORANGE = 3
BLUE = 4
YELLOW = 5
class SideColorPair:
def __init__(self, inSide, inColor):
self.side = inSide
self.color = inColor
class RubiksCube:
def __init__(self, CubeStateFileName):
# initialize variables
self.bot = WHITE
self.front = GREEN
self.left = RED
self.right = ORANGE
self.back = BLUE
self.top = YELLOW
cube_data = "not set"
self.Edges = []
self.Corners = []
# read cube state file
with open(CubeStateFileName, "r") as file:
cube_data = file.read()
# array for edges (24 SideColorPair objects)
# edge 1
self.Edges.append(SideColorPair(0, int(cube_data[1])))
self.Edges.append(SideColorPair(4, int(cube_data[63])))
# edge 2
self.Edges.append(SideColorPair(0, int(cube_data[4])))
self.Edges.append(SideColorPair(2, int(cube_data[13])))
# edge 3
self.Edges.append(SideColorPair(0, int(cube_data[6])))
self.Edges.append(SideColorPair(3, int(cube_data[19])))
# edge 4
self.Edges.append(SideColorPair(0, int(cube_data[9])))
self.Edges.append(SideColorPair(1, int(cube_data[16])))
# edge 5
self.Edges.append(SideColorPair(2, int(cube_data[22])))
self.Edges.append(SideColorPair(4, int(cube_data[58])))
# edge 6
self.Edges.append(SideColorPair(2, int(cube_data[24])))
self.Edges.append(SideColorPair(1, int(cube_data[25])))
# edge 7
self.Edges.append(SideColorPair(1, int(cube_data[27])))
self.Edges.append(SideColorPair(3, int(cube_data[28])))
# edge 8
self.Edges.append(SideColorPair(3, int(cube_data[30])))
self.Edges.append(SideColorPair(4, int(cube_data[60])))
# edge 9
self.Edges.append(SideColorPair(2, int(cube_data[33])))
self.Edges.append(SideColorPair(5, int(cube_data[46])))
# edge 10
self.Edges.append(SideColorPair(1, int(cube_data[36])))
self.Edges.append(SideColorPair(5, int(cube_data[43])))
# edge 11
self.Edges.append(SideColorPair(3, int(cube_data[39])))
self.Edges.append(SideColorPair(5, int(cube_data[48])))
# edge 12
self.Edges.append(SideColorPair(5, int(cube_data[51])))
self.Edges.append(SideColorPair(4, int(cube_data[55])))
# array for corners (24 same)
# corner 1
self.Corners.append(SideColorPair(0, int(cube_data[0])))
self.Corners.append(SideColorPair(2, int(cube_data[12])))
self.Corners.append(SideColorPair(4, int(cube_data[62])))
# corner 2
self.Corners.append(SideColorPair(0, int(cube_data[2])))
self.Corners.append(SideColorPair(3, int(cube_data[20])))
self.Corners.append(SideColorPair(4, int(cube_data[64])))
# corner 3
self.Corners.append(SideColorPair(0, int(cube_data[8])))
self.Corners.append(SideColorPair(2, int(cube_data[14])))
self.Corners.append(SideColorPair(1, int(cube_data[15])))
# corner 4
self.Corners.append(SideColorPair(0, int(cube_data[10])))
self.Corners.append(SideColorPair(3, int(cube_data[18])))
self.Corners.append(SideColorPair(1, int(cube_data[17])))
# corner 5
self.Corners.append(SideColorPair(5, int(cube_data[42])))
self.Corners.append(SideColorPair(1, int(cube_data[35])))
self.Corners.append(SideColorPair(2, int(cube_data[34])))
# corner 6
self.Corners.append(SideColorPair(5, int(cube_data[44])))
self.Corners.append(SideColorPair(1, int(cube_data[37])))
self.Corners.append(SideColorPair(3, int(cube_data[38])))
# corner 7
self.Corners.append(SideColorPair(5, int(cube_data[50])))
self.Corners.append(SideColorPair(4, int(cube_data[54])))
self.Corners.append(SideColorPair(2, int(cube_data[32])))
# corner 8
self.Corners.append(SideColorPair(5, int(cube_data[52])))
self.Corners.append(SideColorPair(4, int(cube_data[56])))
self.Corners.append(SideColorPair(3, int(cube_data[40])))
def print_corner_color(self, cubeStateList, side, side_2, side_3):
# Searches Corners array for correct corner, then prints
for i in range(0, 24, 3):
corner = {}
corner[self.Corners[i].side] = self.Corners[i].color
corner[self.Corners[i+1].side] = self.Corners[i+1].color
corner[self.Corners[i+2].side] = self.Corners[i+2].color
if side in corner and side_2 in corner and side_3 in corner:
cubeStateList.append(str(corner[side]))
break
def print_edge_color(self, cubeStateList, side, side_2):
# Searches Corners array for correct corner, then prints
for i in range(0, 24, 2):
edge = {}
edge[self.Edges[i].side] = self.Edges[i].color
edge[self.Edges[i+1].side] = self.Edges[i+1].color
if side in edge and side_2 in edge:
cubeStateList.append(str(edge[side]))
break
def print_State(self): #prints out state of cube like the input file
cubeStateList = []
self.print_corner_color(cubeStateList, 0, 4, 2)
self.print_edge_color(cubeStateList, 0, 4)
self.print_corner_color(cubeStateList, 0, 4, 3)
cubeStateList.append("\n")
self.print_edge_color(cubeStateList, 0, 2)
cubeStateList.append('0')
self.print_edge_color(cubeStateList, 0, 3)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 0, 1, 2)
self.print_edge_color(cubeStateList, 0, 1)
self.print_corner_color(cubeStateList, 0, 1, 3)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 2, 0, 4)
self.print_edge_color(cubeStateList, 2, 0)
self.print_corner_color(cubeStateList, 2, 0, 1)
self.print_corner_color(cubeStateList, 1, 0, 2)
self.print_edge_color(cubeStateList, 1, 0)
self.print_corner_color(cubeStateList, 1, 0, 3)
self.print_corner_color(cubeStateList, 3, 0, 1)
self.print_edge_color(cubeStateList, 3, 0)
self.print_corner_color(cubeStateList, 3, 0, 4)
cubeStateList.append("\n")
self.print_edge_color(cubeStateList, 2, 4)
cubeStateList.append('2')
self.print_edge_color(cubeStateList, 2, 1)
self.print_edge_color(cubeStateList, 1, 2)
cubeStateList.append('1')
self.print_edge_color(cubeStateList, 1, 3)
self.print_edge_color(cubeStateList, 3, 1)
cubeStateList.append('3')
self.print_edge_color(cubeStateList, 3, 4)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 2, 5, 4)
self.print_edge_color(cubeStateList, 2, 5)
self.print_corner_color(cubeStateList, 2, 5, 1)
self.print_corner_color(cubeStateList, 1, 5, 2)
self.print_edge_color(cubeStateList, 1, 5)
self.print_corner_color(cubeStateList, 1, 5, 3)
self.print_corner_color(cubeStateList, 3, 5, 1)
self.print_edge_color(cubeStateList, 3, 5)
self.print_corner_color(cubeStateList, 3, 5, 4)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 5, 1, 2)
self.print_edge_color(cubeStateList, 5, 1)
self.print_corner_color(cubeStateList, 5, 1, 3)
cubeStateList.append("\n")
self.print_edge_color(cubeStateList, 5, 2)
cubeStateList.append('5')
self.print_edge_color(cubeStateList, 5, 3)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 5, 4, 2)
self.print_edge_color(cubeStateList, 5, 4)
self.print_corner_color(cubeStateList, 5, 4, 3)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 4, 5, 2)
self.print_edge_color(cubeStateList, 4, 5)
self.print_corner_color(cubeStateList, 4, 5, 3)
cubeStateList.append("\n")
self.print_edge_color(cubeStateList, 4, 2)
cubeStateList.append('4')
self.print_edge_color(cubeStateList, 4, 3)
cubeStateList.append("\n")
self.print_corner_color(cubeStateList, 4, 0, 2)
self.print_edge_color(cubeStateList, 4, 0)
self.print_corner_color(cubeStateList, 4, 0, 3)
cubeState = ''.join(cubeStateList)
print (cubeState)
# shifts in perspective
def y(self): #rotates cube clockwise around y-axis
print ("y")
temp_front = self.front #temp variable to hold front value
self.front = self.right
self.right = self.back
self.back = self.left
self.left = temp_front
def yc(self):
print ("yc")
temp_front = self.front
self.front = self.left
self.left = self.back
self.back = self.right
self.right = temp_front
def x(self): #clockwise rotation if viewed from right side
print ("x")
temp_front = self.front
self.front = self.bot
self.bot = self.back
self.back = self.top
self.top = temp_front
def xc(self):
print ("xc")
temp_front = self.front
self.front = self.top
self.top = self.back
self.back = self.bot
self.bot = temp_front
def z(self):
print ("z")
temp_right = self.right
self.right = self.top
self.top = self.left
self.left = self.bot
self.bot = temp_right
def zc(self):
print ("zc")
temp_right = self.right
self.right = self.bot
self.bot = self.left
self.left = self.top
self.top = temp_right
def find_edges_on_side(self, inSide):
edges = []
i = 0
while (len(edges) < 4):
if (self.Edges[i].side == inSide):
if (i % 2 == 0): # first in pair of edge edges
edges.append((i, i+1))
else: # second one
edges.append((i-1, i))
i += 1
return edges
def find_corners_on_side(self, inSide):
corners = []
i = 0
while (len(corners) < 4):
if (self.Corners[i].side == inSide):
if (i % 3 == 0): #first of corner sides
corners.append((i, i+1, i+2))
elif (i % 3 == 1): #second
corners.append((i-1, i, i+1))
else: # last
corners.append((i-2, i-1, i))
i += 1
return corners
def find_color_edges(self, inColor):
# colors will always be in same positions in array if the cube
# starts solved
edges = []
i = 0
while (len(edges) < 4):
if (self.Edges[i].color == inColor):
if (i % 2 == 0): # first in pair of edge edges
edges.append((i, i+1))
else: # seconed one
edges.append((i-1, i))
i += 1
return edges
# fundamental rotations
def D(self):
print ("D")
# select 4 edges connected to self.bot
bot_edges = self.find_edges_on_side(self.bot)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[bot_edges[i][ii]].side == self.bot:
continue # that side of edge doesn't move
elif self.Edges[bot_edges[i][ii]].side == self.front:
self.Edges[bot_edges[i][ii]].side = self.right
elif self.Edges[bot_edges[i][ii]].side == self.right:
self.Edges[bot_edges[i][ii]].side = self.back
elif self.Edges[bot_edges[i][ii]].side == self.back:
self.Edges[bot_edges[i][ii]].side = self.left
elif self.Edges[bot_edges[i][ii]].side == self.left:
self.Edges[bot_edges[i][ii]].side = self.front
# select 4 corners connected to self.bot
bot_corners = self.find_corners_on_side(self.bot)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[bot_corners[i][ii]].side == self.bot:
continue # that side of corner doesn't move
elif self.Corners[bot_corners[i][ii]].side == self.front:
self.Corners[bot_corners[i][ii]].side = self.right
elif self.Corners[bot_corners[i][ii]].side == self.right:
self.Corners[bot_corners[i][ii]].side = self.back
elif self.Corners[bot_corners[i][ii]].side == self.back:
self.Corners[bot_corners[i][ii]].side = self.left
elif self.Corners[bot_corners[i][ii]].side == self.left:
self.Corners[bot_corners[i][ii]].side = self.front
def Dc(self):
print ("Dc")
bot_edges = self.find_edges_on_side(self.bot)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[bot_edges[i][ii]].side == self.bot:
continue # that side of edge doesn't move
elif self.Edges[bot_edges[i][ii]].side == self.front:
self.Edges[bot_edges[i][ii]].side = self.left
elif self.Edges[bot_edges[i][ii]].side == self.right:
self.Edges[bot_edges[i][ii]].side = self.front
elif self.Edges[bot_edges[i][ii]].side == self.back:
self.Edges[bot_edges[i][ii]].side = self.right
elif self.Edges[bot_edges[i][ii]].side == self.left:
self.Edges[bot_edges[i][ii]].side = self.back
bot_corners = self.find_corners_on_side(self.bot)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[bot_corners[i][ii]].side == self.bot:
continue # that side of corner doesn't move
elif self.Corners[bot_corners[i][ii]].side == self.front:
self.Corners[bot_corners[i][ii]].side = self.left
elif self.Corners[bot_corners[i][ii]].side == self.right:
self.Corners[bot_corners[i][ii]].side = self.front
elif self.Corners[bot_corners[i][ii]].side == self.back:
self.Corners[bot_corners[i][ii]].side = self.right
elif self.Corners[bot_corners[i][ii]].side == self.left:
self.Corners[bot_corners[i][ii]].side = self.back
def U(self):
print ("U")
top_edges = self.find_edges_on_side(self.top)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[top_edges[i][ii]].side == self.top:
continue # that side of edge doesn't move
elif self.Edges[top_edges[i][ii]].side == self.front:
self.Edges[top_edges[i][ii]].side = self.left
elif self.Edges[top_edges[i][ii]].side == self.right:
self.Edges[top_edges[i][ii]].side = self.front
elif self.Edges[top_edges[i][ii]].side == self.back:
self.Edges[top_edges[i][ii]].side = self.right
elif self.Edges[top_edges[i][ii]].side == self.left:
self.Edges[top_edges[i][ii]].side = self.back
top_corners = self.find_corners_on_side(self.top)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[top_corners[i][ii]].side == self.top:
continue # that side of corner doesn't move
elif self.Corners[top_corners[i][ii]].side == self.front:
self.Corners[top_corners[i][ii]].side = self.left
elif self.Corners[top_corners[i][ii]].side == self.right:
self.Corners[top_corners[i][ii]].side = self.front
elif self.Corners[top_corners[i][ii]].side == self.back:
self.Corners[top_corners[i][ii]].side = self.right
elif self.Corners[top_corners[i][ii]].side == self.left:
self.Corners[top_corners[i][ii]].side = self.back
def Uc(self):
print ("Uc")
top_edges = self.find_edges_on_side(self.top)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[top_edges[i][ii]].side == self.top:
continue # that side of edge doesn't move
elif self.Edges[top_edges[i][ii]].side == self.front:
self.Edges[top_edges[i][ii]].side = self.right
elif self.Edges[top_edges[i][ii]].side == self.right:
self.Edges[top_edges[i][ii]].side = self.back
elif self.Edges[top_edges[i][ii]].side == self.back:
self.Edges[top_edges[i][ii]].side = self.left
elif self.Edges[top_edges[i][ii]].side == self.left:
self.Edges[top_edges[i][ii]].side = self.front
top_corners = self.find_corners_on_side(self.top)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[top_corners[i][ii]].side == self.top:
continue # that side of corner doesn't move
elif self.Corners[top_corners[i][ii]].side == self.front:
self.Corners[top_corners[i][ii]].side = self.right
elif self.Corners[top_corners[i][ii]].side == self.right:
self.Corners[top_corners[i][ii]].side = self.back
elif self.Corners[top_corners[i][ii]].side == self.back:
self.Corners[top_corners[i][ii]].side = self.left
elif self.Corners[top_corners[i][ii]].side == self.left:
self.Corners[top_corners[i][ii]].side = self.front
def L(self):
print ("L")
left_edges = self.find_edges_on_side(self.left)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[left_edges[i][ii]].side == self.left:
continue # that side of edge doesn't move
elif self.Edges[left_edges[i][ii]].side == self.front:
self.Edges[left_edges[i][ii]].side = self.bot
elif self.Edges[left_edges[i][ii]].side == self.bot:
self.Edges[left_edges[i][ii]].side = self.back
elif self.Edges[left_edges[i][ii]].side == self.back:
self.Edges[left_edges[i][ii]].side = self.top
elif self.Edges[left_edges[i][ii]].side == self.top:
self.Edges[left_edges[i][ii]].side = self.front
left_corners = self.find_corners_on_side(self.left)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[left_corners[i][ii]].side == self.left:
continue # that side of corner doesn't move
elif self.Corners[left_corners[i][ii]].side == self.front:
self.Corners[left_corners[i][ii]].side = self.bot
elif self.Corners[left_corners[i][ii]].side == self.bot:
self.Corners[left_corners[i][ii]].side = self.back
elif self.Corners[left_corners[i][ii]].side == self.back:
self.Corners[left_corners[i][ii]].side = self.top
elif self.Corners[left_corners[i][ii]].side == self.top:
self.Corners[left_corners[i][ii]].side = self.front
def Lc(self):
print ("Lc")
left_edges = self.find_edges_on_side(self.left)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[left_edges[i][ii]].side == self.left:
continue # that side of edge doesn't move
elif self.Edges[left_edges[i][ii]].side == self.front:
self.Edges[left_edges[i][ii]].side = self.top
elif self.Edges[left_edges[i][ii]].side == self.bot:
self.Edges[left_edges[i][ii]].side = self.front
elif self.Edges[left_edges[i][ii]].side == self.back:
self.Edges[left_edges[i][ii]].side = self.bot
elif self.Edges[left_edges[i][ii]].side == self.top:
self.Edges[left_edges[i][ii]].side = self.back
left_corners = self.find_corners_on_side(self.left)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[left_corners[i][ii]].side == self.left:
continue # that side of corner doesn't move
elif self.Corners[left_corners[i][ii]].side == self.front:
self.Corners[left_corners[i][ii]].side = self.top
elif self.Corners[left_corners[i][ii]].side == self.bot:
self.Corners[left_corners[i][ii]].side = self.front
elif self.Corners[left_corners[i][ii]].side == self.back:
self.Corners[left_corners[i][ii]].side = self.bot
elif self.Corners[left_corners[i][ii]].side == self.top:
self.Corners[left_corners[i][ii]].side = self.back
def R(self):
print ("R")
right_edges = self.find_edges_on_side(self.right)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[right_edges[i][ii]].side == self.right:
continue # that side of edge doesn't move
elif self.Edges[right_edges[i][ii]].side == self.front:
self.Edges[right_edges[i][ii]].side = self.top
elif self.Edges[right_edges[i][ii]].side == self.bot:
self.Edges[right_edges[i][ii]].side = self.front
elif self.Edges[right_edges[i][ii]].side == self.back:
self.Edges[right_edges[i][ii]].side = self.bot
elif self.Edges[right_edges[i][ii]].side == self.top:
self.Edges[right_edges[i][ii]].side = self.back
right_corners = self.find_corners_on_side(self.right)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[right_corners[i][ii]].side == self.right:
continue # that side of corner doesn't move
elif self.Corners[right_corners[i][ii]].side == self.front:
self.Corners[right_corners[i][ii]].side = self.top
elif self.Corners[right_corners[i][ii]].side == self.bot:
self.Corners[right_corners[i][ii]].side = self.front
elif self.Corners[right_corners[i][ii]].side == self.back:
self.Corners[right_corners[i][ii]].side = self.bot
elif self.Corners[right_corners[i][ii]].side == self.top:
self.Corners[right_corners[i][ii]].side = self.back
def Rc(self):
print ("Rc")
right_edges = self.find_edges_on_side(self.right)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[right_edges[i][ii]].side == self.right:
continue # that side of edge doesn't move
elif self.Edges[right_edges[i][ii]].side == self.front:
self.Edges[right_edges[i][ii]].side = self.bot
elif self.Edges[right_edges[i][ii]].side == self.bot:
self.Edges[right_edges[i][ii]].side = self.back
elif self.Edges[right_edges[i][ii]].side == self.back:
self.Edges[right_edges[i][ii]].side = self.top
elif self.Edges[right_edges[i][ii]].side == self.top:
self.Edges[right_edges[i][ii]].side = self.front
right_corners = self.find_corners_on_side(self.right)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[right_corners[i][ii]].side == self.right:
continue # that side of corner doesn't move
elif self.Corners[right_corners[i][ii]].side == self.front:
self.Corners[right_corners[i][ii]].side = self.bot
elif self.Corners[right_corners[i][ii]].side == self.bot:
self.Corners[right_corners[i][ii]].side = self.back
elif self.Corners[right_corners[i][ii]].side == self.back:
self.Corners[right_corners[i][ii]].side = self.top
elif self.Corners[right_corners[i][ii]].side == self.top:
self.Corners[right_corners[i][ii]].side = self.front
def F(self):
print ("F")
front_edges = self.find_edges_on_side(self.front)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[front_edges[i][ii]].side == self.front:
continue # that side of edge doesn't move
elif self.Edges[front_edges[i][ii]].side == self.top:
self.Edges[front_edges[i][ii]].side = self.right
elif self.Edges[front_edges[i][ii]].side == self.right:
self.Edges[front_edges[i][ii]].side = self.bot
elif self.Edges[front_edges[i][ii]].side == self.bot:
self.Edges[front_edges[i][ii]].side = self.left
elif self.Edges[front_edges[i][ii]].side == self.left:
self.Edges[front_edges[i][ii]].side = self.top
front_corners = self.find_corners_on_side(self.front)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[front_corners[i][ii]].side == self.front:
continue # that side of corner doesn't move
elif self.Corners[front_corners[i][ii]].side == self.top:
self.Corners[front_corners[i][ii]].side = self.right
elif self.Corners[front_corners[i][ii]].side == self.right:
self.Corners[front_corners[i][ii]].side = self.bot
elif self.Corners[front_corners[i][ii]].side == self.bot:
self.Corners[front_corners[i][ii]].side = self.left
elif self.Corners[front_corners[i][ii]].side == self.left:
self.Corners[front_corners[i][ii]].side = self.top
def Fc(self):
print ("Fc")
front_edges = self.find_edges_on_side(self.front)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[front_edges[i][ii]].side == self.front:
continue # that side of edge doesn't move
elif self.Edges[front_edges[i][ii]].side == self.top:
self.Edges[front_edges[i][ii]].side = self.left
elif self.Edges[front_edges[i][ii]].side == self.right:
self.Edges[front_edges[i][ii]].side = self.top
elif self.Edges[front_edges[i][ii]].side == self.bot:
self.Edges[front_edges[i][ii]].side = self.right
elif self.Edges[front_edges[i][ii]].side == self.left:
self.Edges[front_edges[i][ii]].side = self.bot
front_corners = self.find_corners_on_side(self.front)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[front_corners[i][ii]].side == self.front:
continue # that side of corner doesn't move
elif self.Corners[front_corners[i][ii]].side == self.top:
self.Corners[front_corners[i][ii]].side = self.left
elif self.Corners[front_corners[i][ii]].side == self.right:
self.Corners[front_corners[i][ii]].side = self.top
elif self.Corners[front_corners[i][ii]].side == self.bot:
self.Corners[front_corners[i][ii]].side = self.right
elif self.Corners[front_corners[i][ii]].side == self.left:
self.Corners[front_corners[i][ii]].side = self.bot
def B(self):
print ("B")
back_edges = self.find_edges_on_side(self.back)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[back_edges[i][ii]].side == self.back:
continue # that side of edge doesn't move
elif self.Edges[back_edges[i][ii]].side == self.top:
self.Edges[back_edges[i][ii]].side = self.left
elif self.Edges[back_edges[i][ii]].side == self.right:
self.Edges[back_edges[i][ii]].side = self.top
elif self.Edges[back_edges[i][ii]].side == self.bot:
self.Edges[back_edges[i][ii]].side = self.right
elif self.Edges[back_edges[i][ii]].side == self.left:
self.Edges[back_edges[i][ii]].side = self.bot
back_corners = self.find_corners_on_side(self.back)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[back_corners[i][ii]].side == self.back:
continue # that side of corner doesn't move
elif self.Corners[back_corners[i][ii]].side == self.top:
self.Corners[back_corners[i][ii]].side = self.left
elif self.Corners[back_corners[i][ii]].side == self.right:
self.Corners[back_corners[i][ii]].side = self.top
elif self.Corners[back_corners[i][ii]].side == self.bot:
self.Corners[back_corners[i][ii]].side = self.right
elif self.Corners[back_corners[i][ii]].side == self.left:
self.Corners[back_corners[i][ii]].side = self.bot
def Bc(self):
print ("Bc")
back_edges = self.find_edges_on_side(self.back)
# loop through edges and move to new sides
for i in range(4):
for ii in range(2):
if self.Edges[back_edges[i][ii]].side == self.back:
continue # that side of edge doesn't move
elif self.Edges[back_edges[i][ii]].side == self.top:
self.Edges[back_edges[i][ii]].side = self.right
elif self.Edges[back_edges[i][ii]].side == self.right:
self.Edges[back_edges[i][ii]].side = self.bot
elif self.Edges[back_edges[i][ii]].side == self.bot:
self.Edges[back_edges[i][ii]].side = self.left
elif self.Edges[back_edges[i][ii]].side == self.left:
self.Edges[back_edges[i][ii]].side = self.top
back_corners = self.find_corners_on_side(self.back)
# loop through corners and move to new sides
for i in range(4):
for ii in range(3):
if self.Corners[back_corners[i][ii]].side == self.back:
continue # that side of corner doesn't move
elif self.Corners[back_corners[i][ii]].side == self.top:
self.Corners[back_corners[i][ii]].side = self.right
elif self.Corners[back_corners[i][ii]].side == self.right:
self.Corners[back_corners[i][ii]].side = self.bot
elif self.Corners[back_corners[i][ii]].side == self.bot:
self.Corners[back_corners[i][ii]].side = self.left
elif self.Corners[back_corners[i][ii]].side == self.left:
self.Corners[back_corners[i][ii]].side = self.top
#derived rotations
def d(self): # Uc + yc
print ("- d")
self.Uc()
self.yc()
def dc(self): # U + y
print ("- dc")
self.U()
self.y()
def u(self): # Dc + y
print ("- u")
self.Dc()
self.y()
def uc(self): # D + yc
print ("- uc")
self.D()
self.yc()
def l(self): # R + xc
print ("- l")
self.R()
self.xc()
def lc(self): # Rc + x
print ("- lc")
self.Rc()
self.x()
def r(self): # L + x
print ("- r")
self.L()
self.x()
def rc(self): # Lc + xc
print ("- rc")
self.Lc()
self.xc()
def f(self): # Bc + z
print ("- f")
self.Bc()
self.z()
def fc(self): # B + zc
print ("- fc")
self.B()
self.zc()
def b(self): # Fc + z
print ("- b")
self.Fc()
self.z()
def bc(self): # F + zc
print ("- bc")
self.F()
self.zc()
def M(self): # Rc + L + x
print ("- M")
self.Rc()
self.L()
self.x()
def Mc(self): # R + Lc + xc
print ("- Mc")
self.R()
self.Lc()
self.xc()
#rotations times 2
def D2(self):
print ("- D2")
self.D()
self.D()
def d2(self):
print ("- d2")
self.d()
self.d()
def U2(self):
print ("- U2")
self.U()
self.U()
def u2(self):
print ("- u2")
self.u()
self.u()
def L2(self):
print ("- L2")
self.L()
self.L()
def l2(self):
print ("- l2")
self.l()
self.l()
def R2(self):
print ("- R2")
self.R()
self.R()
def r2(self):
print ("- r2")
self.r()
self.r()
def F2(self):
print ("- F2")
self.F()
self.F()
def f2(self):
print ("- f2")
self.f()
self.f()
def B2(self):
print ("- B2")
self.B()
self.B()
def b2(self):
print ("- b2")
self.b()
self.b()
def M2(self):
print ("- M2")
self.M()
self.M()
def scramble(self):
# execute 20 random rotations on cube
print ("Scrambling")
seedval = input("Enter seed value for scramble: ")
random.seed(seedval)
for i in range(20):
number = random.randint(1, 18)
if number == 1:
self.D()
elif number == 2:
self.Dc()
elif number == 3:
self.U()
elif number == 4:
self.Uc()
elif number == 5:
self.L()
elif number == 6:
self.Lc()
elif number == 7:
self.R()
elif number == 8:
self.Rc()
elif number == 9:
self.F()
elif number == 10:
self.Fc()
elif number == 11:
self.B()
elif number == 12:
self.Bc()
elif number == 13:
self.D2()
elif number == 14:
self.U2()
elif number == 15:
self.L2()
elif number == 16:
self.R2()
elif number == 17:
self.F2()
elif number == 18:
self.B2()
| 44.882209
| 79
| 0.544329
| 4,923
| 36,579
| 3.94353
| 0.045094
| 0.101782
| 0.077882
| 0.122386
| 0.839755
| 0.817606
| 0.805913
| 0.737818
| 0.633821
| 0.601782
| 0
| 0.018607
| 0.324148
| 36,579
| 815
| 80
| 44.882209
| 0.766686
| 0.087591
| 0
| 0.580913
| 0
| 0
| 0.006165
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.074689
| false
| 0
| 0.001383
| 0
| 0.082988
| 0.135546
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
55e93d29159e5188e4bfcb11785e8ce5eb8bc335
| 62
|
py
|
Python
|
mucinfogram/__init__.py
|
nickel715/coronaStatsNotifier
|
6cdf60a2a00b937869a8dd833a95993c8d1560d1
|
[
"MIT"
] | null | null | null |
mucinfogram/__init__.py
|
nickel715/coronaStatsNotifier
|
6cdf60a2a00b937869a8dd833a95993c8d1560d1
|
[
"MIT"
] | null | null | null |
mucinfogram/__init__.py
|
nickel715/coronaStatsNotifier
|
6cdf60a2a00b937869a8dd833a95993c8d1560d1
|
[
"MIT"
] | null | null | null |
from .datasource import DataSource
from .parser import Parser
| 20.666667
| 34
| 0.83871
| 8
| 62
| 6.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 62
| 2
| 35
| 31
| 0.962963
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
55ea6a4af256aa310624a29af9c766301a5a33a7
| 4,348
|
py
|
Python
|
tests/test_handler_parameter_scheduler.py
|
dylanbuchi/MONAI
|
1651f1b003b0ffae8b615d191952ad65ad091277
|
[
"Apache-2.0"
] | 2,971
|
2019-10-16T23:53:16.000Z
|
2022-03-31T20:58:24.000Z
|
tests/test_handler_parameter_scheduler.py
|
dylanbuchi/MONAI
|
1651f1b003b0ffae8b615d191952ad65ad091277
|
[
"Apache-2.0"
] | 2,851
|
2020-01-10T16:23:44.000Z
|
2022-03-31T22:14:53.000Z
|
tests/test_handler_parameter_scheduler.py
|
dylanbuchi/MONAI
|
1651f1b003b0ffae8b615d191952ad65ad091277
|
[
"Apache-2.0"
] | 614
|
2020-01-14T19:18:01.000Z
|
2022-03-31T14:06:14.000Z
|
import unittest
import torch
from ignite.engine import Engine, Events
from torch.nn import Module
from monai.handlers.parameter_scheduler import ParamSchedulerHandler
class ToyNet(Module):
def __init__(self, value):
super().__init__()
self.value = value
def forward(self, input):
return input
def get_value(self):
return self.value
def set_value(self, value):
self.value = value
class TestHandlerParameterScheduler(unittest.TestCase):
def test_linear_scheduler(self):
# Testing step_constant
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator="linear",
vc_kwargs={"initial_value": 0, "step_constant": 2, "step_max_value": 5, "max_value": 10},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=2)
torch.testing.assert_allclose(net.get_value(), 0)
# Testing linear increase
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator="linear",
vc_kwargs={"initial_value": 0, "step_constant": 2, "step_max_value": 5, "max_value": 10},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=3)
torch.testing.assert_allclose(net.get_value(), 3.333333, atol=0.001, rtol=0.0)
# Testing max_value
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator="linear",
vc_kwargs={"initial_value": 0, "step_constant": 2, "step_max_value": 5, "max_value": 10},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=10)
torch.testing.assert_allclose(net.get_value(), 10)
def test_exponential_scheduler(self):
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator="exponential",
vc_kwargs={"initial_value": 10, "gamma": 0.99},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=2)
torch.testing.assert_allclose(net.get_value(), 10 * 0.99 * 0.99)
def test_step_scheduler(self):
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator="step",
vc_kwargs={"initial_value": 10, "gamma": 0.99, "step_size": 5},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=10)
torch.testing.assert_allclose(net.get_value(), 10 * 0.99 * 0.99)
def test_multistep_scheduler(self):
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator="multistep",
vc_kwargs={"initial_value": 10, "gamma": 0.99, "milestones": [3, 6]},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=10)
torch.testing.assert_allclose(net.get_value(), 10 * 0.99 * 0.99)
def test_custom_scheduler(self):
def custom_logic(initial_value, gamma, current_step):
return initial_value * gamma ** (current_step % 9)
net = ToyNet(value=-1)
engine = Engine(lambda e, b: None)
ParamSchedulerHandler(
parameter_setter=net.set_value,
value_calculator=custom_logic,
vc_kwargs={"initial_value": 10, "gamma": 0.99},
epoch_level=True,
event=Events.EPOCH_COMPLETED,
).attach(engine)
engine.run([0] * 8, max_epochs=2)
torch.testing.assert_allclose(net.get_value(), 10 * 0.99 * 0.99)
if __name__ == "__main__":
unittest.main()
| 35.064516
| 101
| 0.609016
| 521
| 4,348
| 4.852207
| 0.153551
| 0.066456
| 0.038766
| 0.041535
| 0.763845
| 0.741693
| 0.741693
| 0.727057
| 0.703323
| 0.703323
| 0
| 0.037342
| 0.273229
| 4,348
| 123
| 102
| 35.349594
| 0.762658
| 0.014489
| 0
| 0.676471
| 0
| 0
| 0.067274
| 0
| 0
| 0
| 0
| 0
| 0.068627
| 1
| 0.098039
| false
| 0
| 0.04902
| 0.029412
| 0.196078
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
55f4775fc1eebe7789fc10e46bc3bb52b878a791
| 220
|
py
|
Python
|
tests/unit/test_layers_base.py
|
dutradda/domainer
|
19cc5adf6eabd1a40c503a16a547d5c128e62efe
|
[
"MIT"
] | 4
|
2018-03-28T21:13:45.000Z
|
2021-01-19T14:59:37.000Z
|
tests/unit/test_layers_base.py
|
dutradda/domainer
|
19cc5adf6eabd1a40c503a16a547d5c128e62efe
|
[
"MIT"
] | 1
|
2018-03-08T17:01:59.000Z
|
2018-03-08T17:01:59.000Z
|
tests/unit/test_layers_base.py
|
dutradda/domainer
|
19cc5adf6eabd1a40c503a16a547d5c128e62efe
|
[
"MIT"
] | null | null | null |
import pytest
from domainer.exceptions import DomainerError
from domainer.layers.data.repositories import BaseRepository
def test_init_error():
with pytest.raises(DomainerError):
BaseRepository(None, None)
| 24.444444
| 60
| 0.8
| 25
| 220
| 6.96
| 0.68
| 0.137931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 220
| 8
| 61
| 27.5
| 0.915789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.5
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
365892f27beb005ed18829f418aaa2e741129a85
| 583
|
py
|
Python
|
maya/mel/__init__.py
|
arjun-namdeo/py_stubs
|
605bb167e239978f5417f3f1fc1f5c12e2a243cc
|
[
"MIT"
] | 20
|
2019-09-20T00:30:22.000Z
|
2021-12-26T06:56:16.000Z
|
mayaSDK/maya/mel/__init__.py
|
minjiang999/vscode-mayapy
|
7a21872f80b5b740fc653e79c3f9b5268e87b3c3
|
[
"MIT"
] | 5
|
2019-12-29T15:19:03.000Z
|
2022-03-29T16:54:19.000Z
|
mayaSDK/maya/mel/__init__.py
|
minjiang999/vscode-mayapy
|
7a21872f80b5b740fc653e79c3f9b5268e87b3c3
|
[
"MIT"
] | 8
|
2019-09-23T05:46:44.000Z
|
2022-01-11T14:42:14.000Z
|
"""
# Initialize the maya.mel package
# Note: some functions are added at runtime
#
"""
from maya.mel.melutils import *
def eval(*args, **kwargs):
"""
Takes as input a string containing MEL code, evaluates it, and returns the result.
This function takes a string which contains MEL code and evaluates it using
the MEL interpreter. The result is converted into a Python data type and is
returned.
If an error occurs during the execution of the MEL script, a Python exception
is raised with the appropriate error message.
"""
pass
| 23.32
| 86
| 0.696398
| 85
| 583
| 4.776471
| 0.682353
| 0.034483
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.245283
| 583
| 24
| 87
| 24.291667
| 0.922727
| 0.7753
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
3672aa0382642727b9df630f94e8f90a586f4c39
| 49
|
py
|
Python
|
venv/Lib/site-packages/sipbuild/version.py
|
DoesArt-Studios/RamBrowse
|
a81da53e04d265d17e76855e7affc11130ee6120
|
[
"MIT"
] | 1
|
2020-05-18T06:35:36.000Z
|
2020-05-18T06:35:36.000Z
|
venv/Lib/site-packages/sipbuild/version.py
|
DoesArt-Studios/RamBrowse
|
a81da53e04d265d17e76855e7affc11130ee6120
|
[
"MIT"
] | null | null | null |
venv/Lib/site-packages/sipbuild/version.py
|
DoesArt-Studios/RamBrowse
|
a81da53e04d265d17e76855e7affc11130ee6120
|
[
"MIT"
] | null | null | null |
SIP_VERSION = 0x050200
SIP_VERSION_STR = '5.2.0'
| 16.333333
| 25
| 0.755102
| 9
| 49
| 3.777778
| 0.777778
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.232558
| 0.122449
| 49
| 2
| 26
| 24.5
| 0.55814
| 0
| 0
| 0
| 0
| 0
| 0.102041
| 0
| 0
| 0
| 0.163265
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
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| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
367ac87e7c88e42c1aec51992de51b3b18c2295c
| 31
|
py
|
Python
|
evennia/web/website/__init__.py
|
Jaykingamez/evennia
|
cf7cab1fea99ede3efecb70a65c3eb0fba1d3745
|
[
"BSD-3-Clause"
] | 1,544
|
2015-01-01T22:16:31.000Z
|
2022-03-31T19:17:45.000Z
|
evennia/web/website/__init__.py
|
Jaykingamez/evennia
|
cf7cab1fea99ede3efecb70a65c3eb0fba1d3745
|
[
"BSD-3-Clause"
] | 1,686
|
2015-01-02T18:26:31.000Z
|
2022-03-31T20:12:03.000Z
|
evennia/web/website/__init__.py
|
Jaykingamez/evennia
|
cf7cab1fea99ede3efecb70a65c3eb0fba1d3745
|
[
"BSD-3-Clause"
] | 867
|
2015-01-02T21:01:54.000Z
|
2022-03-29T00:28:27.000Z
|
# The Evennia default website.
| 15.5
| 30
| 0.774194
| 4
| 31
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 31
| 1
| 31
| 31
| 0.923077
| 0.903226
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
367b5b0ad90bc22dc0813670302e52c4d2b7f92e
| 222
|
py
|
Python
|
py_essentials/__init__.py
|
erkandem/py_essentials
|
29084d29517fd53670e3177586164a2fba3a0a47
|
[
"MIT"
] | null | null | null |
py_essentials/__init__.py
|
erkandem/py_essentials
|
29084d29517fd53670e3177586164a2fba3a0a47
|
[
"MIT"
] | null | null | null |
py_essentials/__init__.py
|
erkandem/py_essentials
|
29084d29517fd53670e3177586164a2fba3a0a47
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from . import xcptns
from . import checkup
from . import advancedList
from . import prettyPrinting
from . import fileHandler
from . import hashing
from . import simpleRandom
| 20.181818
| 28
| 0.743243
| 28
| 222
| 5.892857
| 0.571429
| 0.424242
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010753
| 0.162162
| 222
| 10
| 29
| 22.2
| 0.876344
| 0.193694
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
36e468d5d1e6eb2e604c2fff82cd4f850897cc7e
| 143
|
py
|
Python
|
network_delay.py
|
BozhiWang/Tangle-based-Blockchain-attack-simulation
|
e73eee0f500f91dbb6f3d9fa16a0e1260fc58a42
|
[
"MIT"
] | null | null | null |
network_delay.py
|
BozhiWang/Tangle-based-Blockchain-attack-simulation
|
e73eee0f500f91dbb6f3d9fa16a0e1260fc58a42
|
[
"MIT"
] | null | null | null |
network_delay.py
|
BozhiWang/Tangle-based-Blockchain-attack-simulation
|
e73eee0f500f91dbb6f3d9fa16a0e1260fc58a42
|
[
"MIT"
] | 1
|
2021-03-31T02:54:53.000Z
|
2021-03-31T02:54:53.000Z
|
# could be set as random or defined by node num
def getdelay(source,destination,size):
return 1
def getdownloadspeed(id):
return 1000
| 20.428571
| 47
| 0.741259
| 22
| 143
| 4.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 0.195804
| 143
| 7
| 48
| 20.428571
| 0.878261
| 0.314685
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
36e89fccb9288f33d1f0368c0934237730707e68
| 18
|
py
|
Python
|
tasks/__init__.py
|
jlantz/MetaPush
|
4f04a8e422cf5125cffca2fe339ab0def7799c7f
|
[
"BSD-3-Clause"
] | 60
|
2015-01-09T23:02:52.000Z
|
2021-03-27T13:46:55.000Z
|
tasks/__init__.py
|
jlantz/MetaPush
|
4f04a8e422cf5125cffca2fe339ab0def7799c7f
|
[
"BSD-3-Clause"
] | 15
|
2015-02-19T15:06:15.000Z
|
2017-10-27T15:06:47.000Z
|
tasks/__init__.py
|
jlantz/MetaPush
|
4f04a8e422cf5125cffca2fe339ab0def7799c7f
|
[
"BSD-3-Clause"
] | 55
|
2015-01-02T22:27:13.000Z
|
2021-04-27T19:34:15.000Z
|
# Don't delete me
| 9
| 17
| 0.666667
| 4
| 18
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 18
| 1
| 18
| 18
| 0.857143
| 0.833333
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7fcf59b3d56f7329bd1d1fd9c3bd67d924a9ff27
| 136
|
py
|
Python
|
handling_massages.py
|
mohamadaref/telegram_bot
|
80eaa1da29c8c2f2990f26315b667d5a85e57d14
|
[
"MIT"
] | 1
|
2019-09-19T07:05:05.000Z
|
2019-09-19T07:05:05.000Z
|
handling_massages.py
|
mohamadaref/telegram_bot
|
80eaa1da29c8c2f2990f26315b667d5a85e57d14
|
[
"MIT"
] | null | null | null |
handling_massages.py
|
mohamadaref/telegram_bot
|
80eaa1da29c8c2f2990f26315b667d5a85e57d14
|
[
"MIT"
] | null | null | null |
from telepot.loop import MessageLoop
from telepot.namedtuple import InlineKeyboardMarkup,InlineKeyboardButton
from pprint import pprint
| 34
| 72
| 0.889706
| 15
| 136
| 8.066667
| 0.6
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 136
| 3
| 73
| 45.333333
| 0.975806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7fef2e8f214f63dde63b43b095aadc48f4c6811a
| 406
|
py
|
Python
|
libtiepie/objectlist.py
|
TiePie/python-libtiepie
|
d2a9875855298a58d6a16be5b61aaa89a558e7d8
|
[
"MIT"
] | 6
|
2020-01-04T02:00:35.000Z
|
2022-03-22T00:32:26.000Z
|
libtiepie/objectlist.py
|
TiePie/python-libtiepie
|
d2a9875855298a58d6a16be5b61aaa89a558e7d8
|
[
"MIT"
] | 3
|
2020-08-05T15:16:29.000Z
|
2022-03-21T07:00:27.000Z
|
libtiepie/objectlist.py
|
TiePie/python-libtiepie
|
d2a9875855298a58d6a16be5b61aaa89a558e7d8
|
[
"MIT"
] | null | null | null |
class ObjectList(object):
""""""
def __init__(self):
self._items = []
def __getitem__(self, index):
if index >= 0 and index < len(self._items):
return self._items[index]
else:
raise IndexError()
def __len__(self):
return len(self._items)
def _get_count(self):
return len(self._items)
count = property(_get_count)
| 20.3
| 51
| 0.566502
| 46
| 406
| 4.543478
| 0.434783
| 0.215311
| 0.172249
| 0.162679
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003597
| 0.315271
| 406
| 19
| 52
| 21.368421
| 0.748201
| 0
| 0
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0
| 0
| 0.153846
| 0.692308
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
7ffd89232d9049ddeca9fb1cd0dd0b327c418d90
| 179
|
py
|
Python
|
utils/__init__.py
|
clovaai/SSUL
|
a1df05a5a6c78f122cf606970b0b5dbc3cda97a0
|
[
"MIT"
] | 29
|
2021-09-30T06:03:12.000Z
|
2022-03-30T07:28:28.000Z
|
utils/__init__.py
|
clovaai/SSUL
|
a1df05a5a6c78f122cf606970b0b5dbc3cda97a0
|
[
"MIT"
] | 2
|
2022-01-21T08:03:55.000Z
|
2022-01-25T12:49:08.000Z
|
utils/__init__.py
|
clovaai/SSUL
|
a1df05a5a6c78f122cf606970b0b5dbc3cda97a0
|
[
"MIT"
] | 5
|
2021-12-16T12:36:22.000Z
|
2022-01-25T10:24:24.000Z
|
from .utils import *
from .visualizer import Visualizer
from .scheduler import PolyLR, WarmupPolyLR
from .loss import BCEWithLogitsLossWithIgnoreIndex
from .loss import FocalLoss
| 29.833333
| 50
| 0.843575
| 20
| 179
| 7.55
| 0.5
| 0.10596
| 0.18543
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117318
| 179
| 5
| 51
| 35.8
| 0.955696
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
3d03f3ef5a3085371d9eed7e2bcfc6248105e368
| 4,234
|
py
|
Python
|
app/schema.py
|
ev-horrosh/underdog-devs-ds-a
|
a638d054bef42b59cfeee914c1d4cb7d8edaf66e
|
[
"MIT"
] | null | null | null |
app/schema.py
|
ev-horrosh/underdog-devs-ds-a
|
a638d054bef42b59cfeee914c1d4cb7d8edaf66e
|
[
"MIT"
] | null | null | null |
app/schema.py
|
ev-horrosh/underdog-devs-ds-a
|
a638d054bef42b59cfeee914c1d4cb7d8edaf66e
|
[
"MIT"
] | null | null | null |
from typing import List, Literal, Optional
from datetime import datetime
from pydantic import BaseModel, constr, Extra
# TODO add pydantic to requirements.txt
class Mentor(BaseModel):
profile_id: constr(max_length=255)
first_name: constr(max_length=255)
last_name: constr(max_length=255)
email: constr(max_length=255)
country: constr(max_length=255)
state: constr(max_length=255)
city: constr(max_length=255)
current_company: constr(max_length=255)
current_position: constr(max_length=255)
tech_stack: constr(max_length=255)
job_help: bool
industry_knowledge: bool
pair_programming: bool
able_to_commit: bool
how_heard_about_us: constr(max_length=255)
anything_else: constr(max_length=2500)
class MentorUpdate(BaseModel):
profile_id: Optional[constr(max_length=255)]
first_name: Optional[constr(max_length=255)]
last_name: Optional[constr(max_length=255)]
email: Optional[constr(max_length=255)]
country: Optional[constr(max_length=255)]
state: Optional[constr(max_length=255)]
city: Optional[constr(max_length=255)]
current_company: Optional[constr(max_length=255)]
current_position: Optional[constr(max_length=255)]
tech_stack: Optional[constr(max_length=255)]
job_help: Optional[bool]
industry_knowledge: Optional[bool]
pair_programming: Optional[bool]
able_to_commit: Optional[bool]
how_heard_about_us: Optional[constr(max_length=255)]
anything_else: Optional[constr(max_length=2500)]
class Config:
extra = Extra.forbid
class Mentee(BaseModel):
profile_id: constr(max_length=255)
first_name: constr(max_length=255)
last_name: constr(max_length=255)
email: constr(max_length=255)
country: constr(max_length=255)
state: constr(max_length=255)
city: constr(max_length=255)
formerly_incarcerated: bool
underrepresented_group: bool
low_income: bool
list_convictions: constr(max_length=255)
tech_stack: constr(max_length=255)
job_help: bool
industry_knowledge: bool
pair_programming: bool
how_heard_about_us: constr(max_length=255)
anything_else: Optional[constr(max_length=2500)]
class MenteeUpdate(BaseModel):
profile_id: Optional[constr(max_length=255)]
first_name: Optional[constr(max_length=255)]
last_name: Optional[constr(max_length=255)]
email: Optional[constr(max_length=255)]
country: Optional[constr(max_length=255)]
state: Optional[constr(max_length=255)]
city: Optional[constr(max_length=255)]
formerly_incarcerated: Optional[bool]
underrepresented_group: Optional[bool]
low_income: Optional[bool]
list_convictions: Optional[constr(max_length=255)]
tech_stack: Optional[constr(max_length=255)]
job_help: Optional[bool]
industry_knowledge: Optional[bool]
pair_programming: Optional[bool]
how_heard_about_us: Optional[constr(max_length=255)]
anything_else: Optional[constr(max_length=2500)]
class Config:
extra = Extra.forbid
class Meeting(BaseModel):
meeting_id: constr(max_length=255)
created_at: datetime
updated_at: datetime
meeting_topic: constr(max_length=255)
meeting_start_date: datetime
meeting_end_date: datetime
host_id: constr(max_length=255)
attendee_id: constr(max_length=255)
meeting_notes: Optional[constr(max_length=2000)]
meeting_missed: Optional[Literal['Missed', 'Attended']]
class MeetingUpdate(BaseModel):
meeting_id: Optional[constr(max_length=255)]
created_at: Optional[datetime]
updated_at: Optional[datetime]
meeting_topic: Optional[constr(max_length=255)]
meeting_start_date: Optional[datetime]
meeting_end_date: Optional[datetime]
host_id: Optional[constr(max_length=255)]
attendee_id: Optional[constr(max_length=255)]
meeting_notes: Optional[constr(max_length=2000)]
meeting_missed: Optional[Literal['Missed', 'Attended']]
class Feedback(BaseModel):
ticket_id: constr(max_length=255)
mentee_id: constr(max_length=255)
mentor_id: constr(max_length=255)
feedback: Optional[constr(max_length=2000)]
class Resource(BaseModel):
name: constr(max_length=255)
item_id: constr(max_length=255)
| 32.821705
| 59
| 0.747756
| 565
| 4,234
| 5.338053
| 0.145133
| 0.185013
| 0.308355
| 0.328249
| 0.791446
| 0.73939
| 0.643899
| 0.621353
| 0.621353
| 0.621353
| 0
| 0.05379
| 0.152574
| 4,234
| 128
| 60
| 33.078125
| 0.786789
| 0.008739
| 0
| 0.551402
| 0
| 0
| 0.006675
| 0
| 0
| 0
| 0
| 0.007813
| 0
| 1
| 0
| false
| 0
| 0.028037
| 0
| 0.981308
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
3d1123e5247997e1a82f2a993be0eeaa628d8680
| 213
|
py
|
Python
|
pescador/__init__.py
|
beasteers/pescador
|
dff2c75e5cbfaa5b03c7fd94ccfc546658bed600
|
[
"0BSD"
] | 67
|
2016-08-23T12:42:27.000Z
|
2022-03-22T09:55:35.000Z
|
pescador/__init__.py
|
beasteers/pescador
|
dff2c75e5cbfaa5b03c7fd94ccfc546658bed600
|
[
"0BSD"
] | 112
|
2016-08-22T23:10:53.000Z
|
2020-12-24T13:58:42.000Z
|
pescador/__init__.py
|
beasteers/pescador
|
dff2c75e5cbfaa5b03c7fd94ccfc546658bed600
|
[
"0BSD"
] | 11
|
2017-03-19T00:59:50.000Z
|
2020-07-14T15:12:06.000Z
|
#!/usr/bin/env python
'''Pescador streaming learning'''
from .exceptions import *
from .core import *
from .maps import *
from .mux import *
from .zmq_stream import *
from .version import version as __version__
| 19.363636
| 43
| 0.741784
| 29
| 213
| 5.275862
| 0.586207
| 0.326797
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15493
| 213
| 10
| 44
| 21.3
| 0.85
| 0.225352
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3d1e8c65366cd4c122b33879a5f61a1f6adbbef3
| 157
|
py
|
Python
|
app/cogs/slash/__init__.py
|
fossabot/Starboard-2
|
798e2d04995ae7d920e76708b9ea8fae6f4af319
|
[
"MIT"
] | null | null | null |
app/cogs/slash/__init__.py
|
fossabot/Starboard-2
|
798e2d04995ae7d920e76708b9ea8fae6f4af319
|
[
"MIT"
] | null | null | null |
app/cogs/slash/__init__.py
|
fossabot/Starboard-2
|
798e2d04995ae7d920e76708b9ea8fae6f4af319
|
[
"MIT"
] | null | null | null |
from app.classes.bot import Bot
from . import slash_commands, slash_events
def setup(bot: Bot):
slash_commands.setup(bot)
slash_events.setup(bot)
| 17.444444
| 42
| 0.751592
| 24
| 157
| 4.75
| 0.416667
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159236
| 157
| 8
| 43
| 19.625
| 0.863636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3d24bd26b0c82fc713bac1cbe73fbd78a71351a3
| 159
|
py
|
Python
|
src/NotYetSelfAware/layers/activations/__init__.py
|
ezalos/NotYetSelfAware
|
aa8374d24259be9c93b9b5fc00c07f03538a79df
|
[
"MIT"
] | 1
|
2021-10-02T09:17:46.000Z
|
2021-10-02T09:17:46.000Z
|
src/NotYetSelfAware/layers/activations/__init__.py
|
ezalos/NotYetSelfAware
|
aa8374d24259be9c93b9b5fc00c07f03538a79df
|
[
"MIT"
] | null | null | null |
src/NotYetSelfAware/layers/activations/__init__.py
|
ezalos/NotYetSelfAware
|
aa8374d24259be9c93b9b5fc00c07f03538a79df
|
[
"MIT"
] | null | null | null |
from .reLU import ReLU
from .leakyReLU import LeakyReLU
from .sigmoid import Sigmoid
from .tanh import Tanh
from .linear import LU
from .softmax import Softmax
| 26.5
| 32
| 0.81761
| 24
| 159
| 5.416667
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144654
| 159
| 6
| 33
| 26.5
| 0.955882
| 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
| 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
| 5
|
3d42fd93d969b1844b748f3b42a6a235d2d26c02
| 54
|
py
|
Python
|
pandas/core/matrix.py
|
breisfeld/pandas
|
f1fd50bb8e7603042fe93e01e862766673e33450
|
[
"BSD-3-Clause"
] | 652
|
2015-07-26T00:00:17.000Z
|
2022-02-24T18:30:04.000Z
|
pandas/core/matrix.py
|
breisfeld/pandas
|
f1fd50bb8e7603042fe93e01e862766673e33450
|
[
"BSD-3-Clause"
] | 8
|
2015-09-07T03:38:19.000Z
|
2021-05-23T03:18:51.000Z
|
pandas/core/matrix.py
|
breisfeld/pandas
|
f1fd50bb8e7603042fe93e01e862766673e33450
|
[
"BSD-3-Clause"
] | 40
|
2015-07-24T19:45:08.000Z
|
2021-11-01T14:54:56.000Z
|
from pandas.core.frame import DataFrame as DataMatrix
| 27
| 53
| 0.851852
| 8
| 54
| 5.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 54
| 1
| 54
| 54
| 0.958333
| 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
| 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
| 5
|
3d4a592cf8693f32d34547436ac74f3a181f3c98
| 1,455
|
py
|
Python
|
largest_continuous_product/tests.py
|
McCoubs/project-euler
|
7acc2fc26e4e36411bafd2bc6d09b17ac4aa9546
|
[
"MIT"
] | null | null | null |
largest_continuous_product/tests.py
|
McCoubs/project-euler
|
7acc2fc26e4e36411bafd2bc6d09b17ac4aa9546
|
[
"MIT"
] | null | null | null |
largest_continuous_product/tests.py
|
McCoubs/project-euler
|
7acc2fc26e4e36411bafd2bc6d09b17ac4aa9546
|
[
"MIT"
] | null | null | null |
import unittest
from largest_continuous_product.largest_continuous_product import largest_continuous_product
class TestLargestContinuousProduct(unittest.TestCase):
def test_string_input(self):
self.assertRaises(TypeError, largest_continuous_product, "123", "string")
def test_none_input(self):
self.assertRaises(TypeError, largest_continuous_product, None, None)
def test_float_input(self):
self.assertRaises(TypeError, largest_continuous_product, "123", 3.1415)
def test_bool_input(self):
self.assertRaises(TypeError, largest_continuous_product, "123", True)
def test_negative_input(self):
self.assertRaises(ValueError, largest_continuous_product, "123", -10)
def test_non_int_input(self):
self.assertRaises(ValueError, largest_continuous_product, "123abc456", 4)
def test_inconvenient_zero(self):
self.assertEqual(largest_continuous_product("1230456", 4), 0)
def test_around_zero(self):
self.assertEqual(largest_continuous_product("1230456", 3), 120)
def test_adjacent_is_length(self):
self.assertEqual(largest_continuous_product("12312321", 8), 72)
def test_adjacent_greater_than_length(self):
self.assertEqual(largest_continuous_product("12312321", 13), 72)
def test_regular(self):
self.assertEqual(largest_continuous_product("1243376879865", 4), 4032)
if __name__ == '__main__':
unittest.main()
| 33.837209
| 92
| 0.745704
| 169
| 1,455
| 6.059172
| 0.307692
| 0.232422
| 0.328125
| 0.146484
| 0.609375
| 0.609375
| 0.567383
| 0.567383
| 0.178711
| 0
| 0
| 0.070962
| 0.157388
| 1,455
| 42
| 93
| 34.642857
| 0.764274
| 0
| 0
| 0
| 0
| 0
| 0.053608
| 0
| 0
| 0
| 0
| 0
| 0.407407
| 1
| 0.407407
| false
| 0
| 0.074074
| 0
| 0.518519
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
3d53bbe8e494f18b629519b2cff7b7d013d37fa3
| 16
|
py
|
Python
|
day3.py
|
murdai/Image-Processing
|
620a8a771456bb590a1a741770ea757463df5d10
|
[
"MIT"
] | null | null | null |
day3.py
|
murdai/Image-Processing
|
620a8a771456bb590a1a741770ea757463df5d10
|
[
"MIT"
] | null | null | null |
day3.py
|
murdai/Image-Processing
|
620a8a771456bb590a1a741770ea757463df5d10
|
[
"MIT"
] | null | null | null |
print("sanjay")
| 8
| 15
| 0.6875
| 2
| 16
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 16
| 1
| 16
| 16
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
3d5432fe6cc632c94adcc1fd3635374b01c38c0d
| 156
|
py
|
Python
|
libs/utils/__init__.py
|
raven38/deeplab-pytorch
|
de1c1765eab127a5ddffbc8d20d9eb5fff5dc0b3
|
[
"MIT"
] | null | null | null |
libs/utils/__init__.py
|
raven38/deeplab-pytorch
|
de1c1765eab127a5ddffbc8d20d9eb5fff5dc0b3
|
[
"MIT"
] | null | null | null |
libs/utils/__init__.py
|
raven38/deeplab-pytorch
|
de1c1765eab127a5ddffbc8d20d9eb5fff5dc0b3
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
try:
from .crf import DenseCRF
except:
...
from .lr_scheduler import PolynomialLR
from .metric import scores
| 19.5
| 38
| 0.775641
| 20
| 156
| 5.75
| 0.65
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173077
| 156
| 7
| 39
| 22.285714
| 0.891473
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.571429
| 0
| 0.571429
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3d594d2b9d26d7ff27d2d6df617a72ad0185b754
| 157
|
py
|
Python
|
TygerCaddy/dns/admin.py
|
jlesage/TygerCaddy
|
7db12c6525fba261110a0da0315bac731bbfc121
|
[
"MIT"
] | 2
|
2022-01-07T23:06:34.000Z
|
2022-01-27T18:20:05.000Z
|
TygerCaddy/dns/admin.py
|
jlesage/TygerCaddy
|
7db12c6525fba261110a0da0315bac731bbfc121
|
[
"MIT"
] | null | null | null |
TygerCaddy/dns/admin.py
|
jlesage/TygerCaddy
|
7db12c6525fba261110a0da0315bac731bbfc121
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from .models import DNS, EVariables
admin.site.register(DNS)
admin.site.register(EVariables)
| 19.625
| 35
| 0.802548
| 22
| 157
| 5.727273
| 0.545455
| 0.142857
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11465
| 157
| 7
| 36
| 22.428571
| 0.906475
| 0.165605
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1815954487f1be58dd29dd5e8ee4f8772b9ec249
| 239
|
py
|
Python
|
apps/api/v1/maps/serializers.py
|
silverlogic/bit-tag-api
|
22bc1d79b3d48493ff3880f4c976c4e7c8135973
|
[
"MIT"
] | null | null | null |
apps/api/v1/maps/serializers.py
|
silverlogic/bit-tag-api
|
22bc1d79b3d48493ff3880f4c976c4e7c8135973
|
[
"MIT"
] | null | null | null |
apps/api/v1/maps/serializers.py
|
silverlogic/bit-tag-api
|
22bc1d79b3d48493ff3880f4c976c4e7c8135973
|
[
"MIT"
] | null | null | null |
from apps.maps.models import PointOfInterest
from ...serializers import ModelSerializer
class PointOfInterestSerializer(ModelSerializer):
class Meta:
model = PointOfInterest
fields = ('id', 'name', 'type', 'point',)
| 23.9
| 49
| 0.711297
| 22
| 239
| 7.727273
| 0.772727
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1841
| 239
| 9
| 50
| 26.555556
| 0.871795
| 0
| 0
| 0
| 0
| 0
| 0.062762
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
182b627a39a03af7e70da8f5433bc8042e32695d
| 45
|
py
|
Python
|
global_id/tests/views/__init__.py
|
ThePokerFaCcCe/messenger
|
2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c
|
[
"MIT"
] | null | null | null |
global_id/tests/views/__init__.py
|
ThePokerFaCcCe/messenger
|
2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c
|
[
"MIT"
] | null | null | null |
global_id/tests/views/__init__.py
|
ThePokerFaCcCe/messenger
|
2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c
|
[
"MIT"
] | null | null | null |
from .fake_chat_views import FakeChatViewSet
| 22.5
| 44
| 0.888889
| 6
| 45
| 6.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 45
| 1
| 45
| 45
| 0.926829
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1836250b851dc0e7c7b014ec2e4f028d78f9fc2a
| 238
|
py
|
Python
|
python_code/animation_main/DotAgent.py
|
cholazzzb/APF_Swarm_Control_Simulator
|
a58a1f55cd709f12928cc31d2320f7833d761c50
|
[
"MIT"
] | 2
|
2021-12-21T00:39:46.000Z
|
2022-02-28T11:11:27.000Z
|
python_code/animation_main/DotAgent.py
|
cholazzzb/APF_Swarm_Control_Simulator
|
a58a1f55cd709f12928cc31d2320f7833d761c50
|
[
"MIT"
] | 1
|
2021-02-03T13:24:13.000Z
|
2021-02-03T23:56:33.000Z
|
python_code/animation_main/DotAgent.py
|
cholazzzb/APF_Swarm_Control_Simulator
|
a58a1f55cd709f12928cc31d2320f7833d761c50
|
[
"MIT"
] | 1
|
2021-04-16T18:25:15.000Z
|
2021-04-16T18:25:15.000Z
|
import numpy as np
class DotAgent(object):
def __init__(self, initialPosition):
self.position = np.array(initialPosition)
def getBodyPosition(self):
return np.array([self.position, self.position], dtype="object")
| 29.75
| 71
| 0.705882
| 28
| 238
| 5.857143
| 0.571429
| 0.219512
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180672
| 238
| 8
| 71
| 29.75
| 0.841026
| 0
| 0
| 0
| 0
| 0
| 0.025105
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.166667
| 0.833333
| 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
| 0
| 1
| 0
| 0
|
0
| 5
|
186b9f713d1c9e4417ab056e2f380b09a44cfa67
| 68,406
|
py
|
Python
|
src/sepsesam/api.py
|
wegenerbenjamin/sepsesam
|
58f34e522e25325e08f3e5a296d47f8ed9153d59
|
[
"MIT"
] | 2
|
2021-05-28T15:30:38.000Z
|
2021-05-29T07:21:02.000Z
|
src/sepsesam/api.py
|
wegenerbenjamin/sepsesam
|
58f34e522e25325e08f3e5a296d47f8ed9153d59
|
[
"MIT"
] | 1
|
2021-11-23T09:23:18.000Z
|
2021-11-23T09:23:18.000Z
|
src/sepsesam/api.py
|
wegenerbenjamin/sepsesam
|
58f34e522e25325e08f3e5a296d47f8ed9153d59
|
[
"MIT"
] | 2
|
2021-05-29T12:27:02.000Z
|
2021-05-30T06:40:35.000Z
|
# -*- coding: utf-8 -*-
"""
SEP Sesam REST API Wrapper
"""
# import python libraries
import logging
import uuid
import pprint
import json.decoder
import collections.abc
# import third-party libraries
import requests
# globals
ERROR_CODES = {
400: {
"error": "CLIENT_ERROR_BAD_REQUEST",
"message": "Something is not correct in the request sent by the client",
},
401: {"error": "CLIENT_ERROR_UNAUTHORIZED", "messge": "The client is not authenticated to do the request"},
403: {
"error": "CLIENT_ERROR_FORBIDDEN",
"message": "The authenticated user does not have the required permissions to do the request",
},
404: {"error": "CLIENT_ERROR_NOT_FOUND", "message": "The requested endpoint does not exist"},
405: {
"error": "CLIENT_ERROR_METHOD_NOT_ALLOWED",
"message": "The target object is not editable (error type = ‘NOT_EDITABLE’)",
},
500: {
"error": "SERVER_ERROR_INTERNAL",
"message": "A general error occurred on the server while processing the request",
},
503: {
"error": "SERVER_ERROR_SERVICE_UNAVAILABLE",
"message": "The connection to the server is unavailable or got terminated",
},
}
# set logger
log = logging.getLogger("sepsesam")
def update(d, u):
"""
Recursivly update a dictionary, taken from
https://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth
"""
for k, v in u.items():
if isinstance(v, collections.abc.Mapping):
d[k] = update(d.get(k, {}), v)
else:
d[k] = v
return d
class SEPSesamAPIError(Exception):
"""error from the API"""
def __init__(self, status_code, error, message, parameter, type, url):
self.status_code = status_code
self.error = error
self.message = message
self.parameter = parameter
self.type = type
self.url = url
class Api:
"""
Implements version 2 of the SEP sesam API
"""
def __init__(self, url, username, password, verify=True):
"""
Initialize API
:param url: URL of the SEP sesam server including protocol and port, e.g https://sesam.my.domain:11401
:param username: Username used for operations
:param password: Password user for logon
:param verify: Boolean if the SEP server certificate should be verified (default: True)
:param log_level: Log level for the logger "sepsesam" as uppercase string (default: INFO)
"""
self.url = url
self.username = username
self.password = password
self.session_id = None
self.verify = verify
self.headers = None
def __enter__(self):
"""
For usage with the 'with' operator
"""
self.login()
return self
def __exit__(self, exc_type, exc_value, traceback):
"""
For usage with the 'with' operator
"""
self.logout()
def _process_error(self, response):
"""
Process errors and raise exception
"""
if response.ok:
return True
# get data
try:
data = response.json()
data["status_code"] = response.status_code
except json.decoder.JSONDecodeError:
log.debug("Could not retrieve error description")
sc = response.status_code
data = {
"status_code": sc,
"error": ERROR_CODES.get(sc, {}).get("error", "UNKNOWN ERROR"),
"message": ERROR_CODES.get(sc, {}).get("message", "UNKNOWN ERROR"),
"parameter": getattr(response.request, "body", None),
"type": "GENERAL ERROR",
"url": response.request.url,
}
data["status_code"] = response.status_code
log.error("An error occured:\n{}".format(pprint.pformat(data)))
raise SEPSesamAPIError(**data)
def _urlexpand(self, endpoint):
"""
Return full URL to endpoint
"""
return "{}{}".format(
self.url if self.url[-1] == "/" else self.url + "/",
endpoint if endpoint[0] != "/" else endpoint[1:],
)
def _auth(func):
""" Check if session is set, and if not, authenticate before
executing function
"""
def _doauth(*args, **kwargs):
self = args[0]
if not self.session_id:
self.login()
return func(*args, **kwargs)
return _doauth
def _filter(self, obj_list, **kwargs):
"""
Find an object based on attributes. Based on list due to missing support in API v1
"""
log.debug("Running function")
data = []
for obj in obj_list:
valid_entry = True
for k, v in kwargs.items():
if obj.get(k) != v:
valid_entry = False
break
if valid_entry:
data.append(obj)
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
#################### Version 2 API ####################
### v2 GENERAL FUNCTIONS ###
def login(self):
"""
Logon to the SEP sesam v2 API
"""
log.debug("Running function")
endpoint = "sep/api/v2/auth/login"
data = {"username": self.username, "secret": self.password, "type": "CLASSIC"}
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=data, verify=self.verify)
self._process_error(response)
resp_data = response.json()
self.session_id = resp_data
self.headers = {"X-SEP-Session": self.session_id}
log.debug("Got response:\n{}".format(pprint.pformat(resp_data)))
return True
def logout(self):
"""
Logout and cleanup session
"""
log.debug("Running function")
endpoint = "sep/api/v2/auth/logout"
if self.session_id:
url = self._urlexpand(endpoint)
requests.get(url=url, headers=self.headers, verify=self.verify)
@_auth
def get_server_info(self):
"""
Retrieve server information
"""
log.debug("Running function")
endpoint = "sep/api/v2/server/info"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 CLIENT HANDLING ###
@_auth
def client_list(self):
"""
Return a list of clients
"""
log.debug("Running function")
endpoint = "/sep/api/v2/clients"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def client_get(self, id):
"""
Return a client for a given ID
"""
log.debug("Running function")
endpoint = "/sep/api/v2/clients/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def client_find(self, queryMode="DEFAULT", **kwargs):
"""
Find a client by properties. Returns a list of clients.
:param name: The name of the client. (string)
:param location: The ID of the parent location. (integer)
:param accessMode: A list of access modes to match. See the client properties description for valid values. ([string])
:param accessState: A list of access states to match. See the client properties description for valid values. ([int])
:param permit: The enabled state. Either true or false.
:param operSystem: A list of operating system names to match. [dict]
:param vmServerType: The virtualization server type. See the client properties description for valid values. (string)
:param vmName: The name of the virtual machine the client is representing. (string)
:param matchWithSavesetID: A save set ID. When specified, the filter returns a list of clients compatible with the backup’s type. (string)
:param queryMode: The query mode. Valid values are DEFAULT or RESTORE. When omitted, the query mode defaults to DEFAULT. (string)
"""
log.debug("Running function")
endpoint = "/sep/api/v2/clients/find"
url = self._urlexpand(endpoint)
data = {"queryMode": queryMode}
for param in [
"id",
"name",
"location",
"accessMode",
"accessState",
"permit",
"operSystem",
"vmServerType",
"vmName",
"matchWithSavesetID",
"queryMode",
]:
if param in kwargs:
data[param] = kwargs[param]
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def client_create(self, name, **kwargs):
"""
Create a client with the given parameters.
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/clients/create"
url = self._urlexpand(endpoint)
kwargs["name"] = name
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def client_update(self, id=None, name=None, **kwargs):
"""
Update a client with the given parameters. Either "id" or "name" must be given.
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
if id:
kwargs["id"] = id
elif name:
kwargs["name"] = name
else:
raise Exception("Either 'id' or 'name' must be specified")
endpoint = "/sep/api/v2/clients/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def client_delete(self, id):
"""
Delete a client
"""
log.debug("Running function")
endpoint = "/sep/api/v2/clients/delete"
url = self._urlexpand(endpoint)
# for delete, we need to provide the data as a string and not form / json encoded
response = requests.post(url=url, data=str(id), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 LOCATION HANDLING ###
@_auth
def location_list(self):
"""
List all locations
"""
log.debug("Running function")
endpoint = "/sep/api/v2/locations"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
print(response.text)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def location_get(self, id):
"""
Retrieve a location
"""
log.debug("Running function")
endpoint = "/sep/api/v2/locations/{}".format(id)
url = self._urlexpand(endpoint)
data = {"id": id}
response = requests.get(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def location_find(self, parent):
"""
Find a location.
:param parent: The ID of the parent location. (int)
"""
log.debug("Running function")
endpoint = "/sep/api/v2/locations/find/"
url = self._urlexpand(endpoint)
data = {"parent": parent}
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def location_create(self, name, **kwargs):
"""
Create a location.
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/locations/create"
url = self._urlexpand(endpoint)
kwargs["name"] = name
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def location_update(self, id=None, name=None, **kwargs):
"""
Update a location. Either id or name must be specified.
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
if id:
kwargs["id"] = id
elif name:
kwargs["name"] = name
else:
raise Exception("Either 'id' or 'name' must be specified")
endpoint = "/sep/api/v2/locations/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def location_delete(self, id):
"""
Deletes a location
"""
log.debug("Running function")
endpoint = "/sep/api/v2/locations/delete"
url = self._urlexpand(endpoint)
# for delete, we need to provide the data as a string and not form / json encoded
response = requests.post(url=url, data=str(id), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def location_resolve_to_id(self, name):
"""
Resolve a given name or path to an id
"""
log.debug("Running function")
endpoint = "/sep/api/v2/locations/resolveLocationToId"
url = self._urlexpand(endpoint)
# data is provided as is, but with a strange formatting
response = requests.post(url=url, data='"{}"'.format(name), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 ACL HANDLING ###
@_auth
def acl_list(self):
"""
List ACLs
"""
log.debug("Running function")
endpoint = "/sep/api/v2/acls"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def acl_get(self, id):
"""
Get an ACL
"""
log.debug("Running function")
endpoint = "/sep/api/v2/acls/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def acl_find(self, **kwargs):
"""
Find an ACL
:param object: The object ID. (string)
:param origin: The object origin (string)
"""
log.debug("Running function")
endpoint = "/sep/api/v2/acls/find"
url = self._urlexpand(endpoint)
data = {}
if "queryMode" in kwargs:
data = {"queryMode": queryMode}
for param in ["object", "origin"]:
if param in kwargs:
data[param] = kwargs[param]
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def acl_create(self, object, origin, value, id=None):
"""
Create an ACL.
:param object: The unique ID of the object the ACL is associated with. If the object ID is ‘-1’,
then the ACL describes the default permissions set for objects from the origin set. (string)
:param origin: The object origin. The origin is the name of the database table in capitalized form
and without any separator. In example, if the object is a data store (DB:data_stores),
then the origin is “Datastores”. (string)
:param value: The encoded access control list. The access control list is persisted as a list of JSON
objects, each object describing the granted or denied permissions for a user or
group. (string)
:param id: The unique ID of the ACL. If none is given, one will be created.
"""
log.debug("Running function")
endpoint = "/sep/api/v2/acls/create"
data = {"object": object, "origin": origin, "value": value}
if id:
data["id"] = id
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def acl_update(self, id, **kwargs):
"""
Update an ACL
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
kwargs["id"] = id
endpoint = "/sep/api/v2/acls/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def acl_delete(self, id):
"""
Delete an ACL
"""
log.debug("Running function")
endpoint = "/sep/api/v2/acls/delete"
url = self._urlexpand(endpoint)
# for delete, we need to provide the data as a string and not form / json encoded
response = requests.post(url=url, data=str(id), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 CREDENTIAL HANDLING ###
@_auth
def credential_list(self):
"""
List credentials
"""
log.debug("Running function")
endpoint = "/sep/api/v2/credentials"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def credential_get(self, id):
"""
Get a credential
"""
log.debug("Running function")
endpoint = "/sep/api/v2/credentials/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def credential_find(self, type):
"""
Find a credential
:param type: The credential type. (string)
"""
log.debug("Running function")
endpoint = "/sep/api/v2/credentials/find"
url = self._urlexpand(endpoint)
data = {"type": type}
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def credential_create(self, type, **kwargs):
"""
Create an ACL.
:param name: The name of the credential set. When not specified, an auto name has to be
generated in the format ‘auth.<type>.<uuid>’. (string)
:param type: The credentials type. The following values are currently defined: ‘LDAP’, ‘AD’, ‘HPE
Storeonce’ and ‘AWS S3’. (string)
:param enabled: The credentials enabled flag. This flag is used for ‘LDAP’ or ‘AD’ type credentials only. (boolean)
:param accessName: The access name. For ‘HPE Storeonce’ type credentials, this is the identifier. For
‘AWS S3’ type credentials, this is the access key. For ‘LDAP’ type credentials, this is
the user base. (string)
:param osAccessName: The OS access name. For ‘LDAP’ type credentials, this is the manager user DN to
access the LDAP server. (string)
:param secret: The secret. For ‘HPE Storeonce’ type credentials, this is the password. For ‘AWS S3’
type credentials, this is the secret access key. For ‘LDAP’ type credentials, this is the
password to access the LDAP server. (string)
:param privateKey: The private key. (string)
:param publicKey: The public key. For ‘LDAP’ type credentials, this is the group base. For ‘AD’ type
credentials, this is the root DN. (string)
:param hostName: The host name. For ‘HPE Storeonce’ type credentials, this is the host name of the
HPE Storeonce system. For ‘AWS S3’ type credentials, this is the name of the
endpoint. For ‘AD’ type credentials, this is the domain name. (string)
:param port: The port. (int)
:param storeName: The store name. For ‘AWS S3’ type credentials, this is the bucket name. For ‘LDAP’
type credentials, this is the group filter. For ‘AD’ type credentials, this is the search
filter. (string)
:param path: The path. For ‘AWS S3’ type credentials, this is the prefix. For ‘LDAP’ and ‘AD’ type
credentials, this is the URL. (string)
:paaram rank: The rank. Used to determine the order of credentials of the same type. Only used for
‘LDAP’ or ‘AD’ type credentials. (int)
:param userComment: The description or users comment. (string)
:param id: The unique ID of the credential. If none is given, one will be created.
"""
log.debug("Running function")
endpoint = "/sep/api/v2/credentials/create"
data = {"type": type}
for param in [
"name",
"enabled",
"accessName",
"osAccessName",
"secret",
"privateKey",
"publicKey",
"hostName",
"port",
"storeName",
"path",
"rank",
"userComment",
"id",
]:
if param in kwargs:
data[param] = kwargs[param]
if "name" not in data:
data["name"] = "auth.{}.{}".format(type, uuid.uuid4())
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def credential_update(self, id, **kwargs):
"""
Update a credential
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
kwargs["id"] = id
endpoint = "/sep/api/v2/credentials/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def credential_delete(self, id):
"""
Delete a credential
"""
log.debug("Running function")
endpoint = "/sep/api/v2/credentials/delete"
url = self._urlexpand(endpoint)
# for delete, we need to provide the data as a string and not form / json encoded
response = requests.post(url=url, data=str(id), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 DATASTORE HANDLING ###
@_auth
def datastore_list(self):
"""
List datastores
"""
log.debug("Running function")
endpoint = "/sep/api/v2/datastores"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def datastore_get(self, id):
"""
Get a datastore
"""
log.debug("Running function")
endpoint = "/sep/api/v2/datastores/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def datastore_find(self, **kwargs):
"""
Find a datastore
:param name: The unique data store name. (string)
:param types: The list of data store types to match. ([JSON object])
:param driveGroupNames: The list of drive group names to match. ([string])
:param mediaPoolNames: The list of media pool names to match. ([string])
"""
log.debug("Running function")
endpoint = "/sep/api/v2/datastores/find"
url = self._urlexpand(endpoint)
data = {}
for param in ["name", "types", "driveGroupNames", "mediaPoolNames"]:
if param in kwargs:
data[param] = kwargs[param]
response = requests.post(url=url, json=data, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def datastore_create(self, name, **kwargs):
"""
Create a datastore
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/datastores/create"
if len(name) > 32:
log.error("Datastore name has a maximum length of 32")
raise Exception("Datastore name has a maximum length of 32")
kwargs["name"] = name
if not self.session_id:
self.login()
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def datastore_update(self, name, **kwargs):
"""
Update a datastore
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
kwargs["name"] = name
endpoint = "/sep/api/v2/datastores/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def datastore_delete(self, name):
"""
Delete a datastore
"""
log.debug("Running function")
endpoint = "/sep/api/v2/datastores/delete"
url = self._urlexpand(endpoint)
# for delete, we need to provide the data as a string and not form / json encoded
response = requests.post(url=url, data=str(name), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 BACKUP TASKS HANDLING ###
@_auth
def backup_task_list(self):
"""
List backup tasks
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/findTasks"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_task_get(self, name):
"""
Get a backup task
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/tasks/{}".format(name)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_task_find(self, **kwargs):
"""
Find a backup task
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/findTasks"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_task_create(self, name, **kwargs):
"""
Create a backup task
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/createTask"
kwargs["name"] = name
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_task_update(self, name, **kwargs):
"""
Update a backup task
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
kwargs["name"] = name
endpoint = "/sep/api/v2/backups/updateTask"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_task_delete(self, name, **kwargs):
"""
Delete a backup task
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/{}/deleteTask".format(name)
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 BACKUP EVENTS HANDLING ###
@_auth
def backup_event_list(self):
"""
List backup events
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backupevents"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_event_get(self, id):
"""
Get a backup event
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backupevents/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_event_find(self, **kwargs):
"""
Find a backup event
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backupevents/find"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_event_create(self, object, **kwargs):
"""
Create a backup event
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backupevents/create"
kwargs["object"] = object
if len(object) > 128:
log.error("Object name has a maximum length of 32")
raise Exception("Object name has a maximum length of 32")
if len(kwargs.get("name", "")) > 255:
log.error("Name has a maximum length of 32")
raise Exception("Name has a maximum length of 32")
if not self.session_id:
self.login()
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_event_update(self, id, **kwargs):
"""
Update a backup event
Check the SEP Sesam REST API documentation for applicable parameters:
https://wiki.sep.de/wiki/index.php/File:SEP_sesam-REST-API-V2-Jaglion.pdf
"""
log.debug("Running function")
kwargs["id"] = id
endpoint = "/sep/api/v2/backupevents/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, json=kwargs, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_event_delete(self, id):
"""
Delete a backup event
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backupevents/delete"
url = self._urlexpand(endpoint)
# for delete, we need to provide the data as a string and not form / json encoded
response = requests.post(url=url, data=str(id), headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 BACKUP HANDLING ###
@_auth
def backup_list(self):
"""
List all backups
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_get(self, savesetId):
"""
Get a backup
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/{}".format(savesetId)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_find(self, **kwargs):
"""
Find a backup
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/find"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_create(self, name, **kwargs):
"""
Create a backup
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/create"
url = self._urlexpand(endpoint)
kwargs["name"] = name
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_update(self, **kwargs):
"""
Update a backup
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def backup_start(self, taskName, mediaPoolName, backupLevel="FULL", **kwargs):
"""
Start a backup
"""
log.debug("Running function")
endpoint = "/sep/api/v2/backups/start"
url = self._urlexpand(endpoint)
kwargs["taskName"] = taskName
kwargs["mediaPoolName"] = mediaPoolName
kwargs["backupLevel"] = backupLevel
response = requests.post(url=url, json=[kwargs], headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 MEDIA POOL HANDLING ###
@_auth
def media_pool_list(self):
"""
List all media pools
"""
log.debug("Running function")
endpoint = "/sep/api/v2/mediapools"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_pool_get(self, name):
"""
Get a media pool
"""
log.debug("Running function")
endpoint = "/sep/api/v2/mediapools/{}".format(name)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_pool_find(self, **kwargs):
"""
Find a media pool. Based on list due to missing support in API v1
"""
log.debug("Running function")
endpoint = "/sep/api/v2/mediapools/find"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_pool_create(self, name, **kwargs):
"""
Create a media pool
"""
log.debug("Running function")
endpoint = "/sep/api/v2/mediapools/create"
url = self._urlexpand(endpoint)
kwargs["name"] = name
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_pool_update(self, **kwargs):
"""
Update a media pool
"""
log.debug("Running function")
endpoint = "/sep/api/v2/mediapools/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_pool_delete(self, name):
"""
Delete a media pool
"""
log.debug("Running function")
endpoint = "/sep/api/v2/mediapools/deleteByEntity"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json={"name": name}, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 MEDIA HANDLING ###
@_auth
def media_list(self):
"""
List all media
"""
log.debug("Running function")
endpoint = "/sep/api/v2/media"
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_get(self, name):
"""
Get a media
"""
log.debug("Running function")
endpoint = "/sep/api/v2/media/{}".format(name)
url = self._urlexpand(endpoint)
response = requests.get(url=url, headers=self.headers, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_find(self, **kwargs):
"""
Find a media.
"""
log.debug("Running function")
endpoint = "/sep/api/v2/media/find"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_create(self, name, poolName, mediaType, **kwargs):
"""
Create a media pool
"""
log.debug("Running function")
endpoint = "/sep/api/v2/media/create"
url = self._urlexpand(endpoint)
kwargs["name"] = name
kwargs["poolName"] = poolName
kwargs["mediaType"] = mediaType
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_update(self, **kwargs):
"""
Update a media
"""
log.debug("Running function")
endpoint = "/sep/api/v2/media/update"
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
@_auth
def media_delete(self, name, forceRemoveData=True, initialize=False):
"""
Delete a media
"""
log.debug("Running function")
endpoint = "/sep/api/v2/media/{}/deleteForced".format(name)
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json={"forceRemoveData": forceRemoveData, "initialize": initialize}, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v2 DRIVES HANDLING ###
@_auth
def drive_execute(self, id, action):
"""
Execute an action on a drive
"""
log.debug("Running function")
endpoint = "/sep/api/v2/drives/{}/execute".format(id)
data = {"action": action}
url = self._urlexpand(endpoint)
response = requests.post(url=url, headers=self.headers, json=data, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
#################### Version 1 API ####################
### v1 GROUP HANDLING ###
def group_list(self):
"""
List all groups
"""
log.debug("Running function")
endpoint = "/sep/api/groups"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def group_get(self, id):
"""
Get a group
"""
log.debug("Running function")
endpoint = "/sep/api/groups/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def group_find(self, **kwargs):
"""
Find a group. Based on list due to missing support in API v1
"""
return self._filter(self.group_list(), **kwargs)
def group_create(self, id=None, **kwargs):
"""
Create a new group
"""
log.debug("Running function")
endpoint = "/sep/api/groups"
url = self._urlexpand(endpoint)
if id:
kwargs["id"] = id
response = requests.post(url=url, auth=(self.username, self.password), json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def group_update(self, id, **kwargs):
"""
Update group
"""
log.debug("Running function")
data = self.group_get(id=id)
kwargs = update(data, kwargs)
self.group_delete(id=id)
return self.group_create(**kwargs)
def group_delete(self, id):
"""
Delete a group
"""
log.debug("Running function")
endpoint = "/sep/api/groups/remove"
url = self._urlexpand(endpoint)
response = requests.post(url=url, auth=(self.username, self.password), verify=self.verify, data=str(id))
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 ROLE HANDLING ###
def role_list(self):
"""
List all roles
"""
log.debug("Running function")
endpoint = "/sep/api/roles"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def role_find(self, **kwargs):
"""
Find a role. Based on list due to missing support in API v1
"""
return self._filter(self.role_list(), **kwargs)
### v1 ROLE RELATION HANDLING ###
def role_relation_list(self):
"""
List all roleRelations
"""
log.debug("Running function")
endpoint = "/sep/api/roleRelations"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def role_relation_get(self, id):
"""
Get a role relation
"""
log.debug("Running function")
endpoint = "/sep/api/roleRelations/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def role_relation_find(self, **kwargs):
"""
Find a role relation. Based on list due to missing support in API v1
"""
return self._filter(self.role_relation_list(), **kwargs)
def role_relation_create(self, group_id, role_id, id=None):
"""
Create a new role <> group relation
"""
log.debug("Running function")
endpoint = "/sep/api/roleRelations"
url = self._urlexpand(endpoint)
data = {
"groupId": group_id,
"roleId": role_id,
}
if id:
data["id"] = id
response = requests.post(url=url, auth=(self.username, self.password), json=data, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def role_relation_update(self, id, group_id, role_id):
"""
Update a role <> group relation.
"""
log.debug("Running function")
self.role_relation_delete(id=id)
# it looks like the delete command is async
# since we do not reference the role relation id somewhere else, we just do not care
return self.role_relation_create(group_id=group_id, role_id=role_id)
def role_relation_delete(self, id):
"""
Delete a role relation
"""
log.debug("Running function")
endpoint = "/sep/api/roleRelations/{}/delete".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 EXTERNAL GROUP HANDLING ###
def external_group_list(self):
"""
List all external gruops
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroups"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def external_group_get(self, id):
"""
Get an external group
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroups/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def external_group_find(self, **kwargs):
"""
Find an external group. Based on list due to missing support in API v1
"""
return self._filter(self.external_group_list(), **kwargs)
def external_group_create(self, id=None, **kwargs):
"""
Create an external group
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroups"
url = self._urlexpand(endpoint)
if id:
kwargs["id"] = id
response = requests.post(url=url, auth=(self.username, self.password), json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def external_group_upsert(self, id, **kwargs):
"""
Create/Update an external group
"""
log.debug("Running function")
self.external_group_delete(id=id)
return self.external_group_create(id=id, **kwargs)
def external_group_delete(self, id):
"""
Delete an external group
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroups/{}/delete".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 EXTERNAL GROUP RELATION HANDLING
def ext_group_relation_list(self):
"""
List all internal <> external group relations
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroupRelations"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def ext_group_relation_get(self, id):
"""
Get an internal <> external group relation
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroupRelations/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def ext_group_relation_find(self, **kwargs):
"""
Find an internal <> external group relation. Based on list due to missing support in API v1
"""
return self._filter(self.ext_group_relation_list(), **kwargs)
def ext_group_relation_create(self, internal_group_id, external_group_id, id=None):
"""
Create a new internal <> external group relation
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroupRelations"
url = self._urlexpand(endpoint)
data = {
"groupId": internal_group_id,
"externalGroupId": external_group_id,
}
if id:
data["id"] = id
response = requests.post(url=url, auth=(self.username, self.password), json=data, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def ext_group_relation_update(self, id, internal_group_id, external_group_id):
"""
Update a internal <> external group relation
"""
log.debug("Running function")
self.ext_group_relation_delete(id=id)
return self.ext_group_relation_create(
id=id,
internal_group_id=internal_group_id,
external_group_id=external_group_id
)
def ext_group_relation_delete(self, id):
"""
Delete an internal <> external group relation
"""
log.debug("Running function")
endpoint = "/sep/api/externalGroupRelations/{}/delete".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 SCHEDULE HANDLING ###
def schedule_list(self):
"""
List all schedules
"""
log.debug("Running function")
endpoint = "/sep/api/schedules"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def schedule_get(self, name):
"""
Get a schedule
"""
log.debug("Running function")
endpoint = "/sep/api/schedules/{}".format(name)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def schedule_find(self, **kwargs):
"""
Find a schedule. Based on list due to missing support in API v1
"""
return self._filter(self.schedule_list(), **kwargs)
def schedule_create(self, name, **kwargs):
"""
Create a schedule
"""
log.debug("Running function")
endpoint = "/sep/api/schedules"
url = self._urlexpand(endpoint)
kwargs["name"] = name
response = requests.post(url=url, auth=(self.username, self.password), json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def schedule_update(self, name, **kwargs):
"""
Update a schedule
"""
log.debug("Running function")
data = self.schedule_get(name=name)
kwargs = update(data, kwargs)
self.schedule_delete(name=name)
return self.schedule_create(**kwargs)
def schedule_delete(self, name):
"""
Delete a schedule
"""
log.debug("Running function")
endpoint = "/sep/api/schedules/{}/delete".format(name)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 COMMAND HANDLING ###
def command_list(self):
"""
List all commands
"""
log.debug("Running function")
endpoint = "/sep/api/commands"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def command_get(self, id):
"""
Get a command
"""
log.debug("Running function")
endpoint = "/sep/api/commands/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def command_find(self, **kwargs):
"""
Find a command. Based on list due to missing support in API v1
"""
return self._filter(self.command_list(), **kwargs)
def command_create(self, id=None, **kwargs):
"""
Update a command
"""
log.debug("Running function")
endpoint = "/sep/api/commands"
url = self._urlexpand(endpoint)
if id:
kwargs["id"] = id
response = requests.post(url=url, auth=(self.username, self.password), json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def command_update(self, **kwargs):
"""
Update a command
"""
log.debug("Running function")
data = self.command_get(id=id)
kwargs = update(data, kwargs)
self.command_delete(id=id)
return self.command_create(**kwargs)
def command_delete(self, id):
"""
Delete a command
"""
log.debug("Running function")
endpoint = "/sep/api/commands/{}/delete".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 COMMAND EVENT HANDLING ###
def command_event_list(self):
"""
List all command events
"""
log.debug("Running function")
endpoint = "/sep/api/commandEvents"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def command_event_get(self, id):
"""
Get a command event
"""
log.debug("Running function")
endpoint = "/sep/api/commandEvents/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def command_event_find(self, **kwargs):
"""
Find a command event. Based on list due to missing support in API v1
"""
return self._filter(self.command_event_list(), **kwargs)
def command_event_create(self, id=None, **kwargs):
"""
Create a command event
"""
log.debug("Running function")
endpoint = "/sep/api/commandEvents"
url = self._urlexpand(endpoint)
if id:
kwargs["id"] = id
response = requests.post(url=url, auth=(self.username, self.password), json=kwargs, verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def command_event_update(self, id, **kwargs):
"""
Update a command event
"""
log.debug("Running function")
data = self.command_event_get(id=id)
kwargs = update(data, kwargs)
self.command_event_delete(id=id)
return self.command_event_create(**kwargs)
def command_event_delete(self, id):
"""
Delete a command event
"""
log.debug("Running function")
endpoint = "/sep/api/commandEvents/{}/delete".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
### v1 DRIVE GROUPS ###
def drive_group_list(self):
"""
List all drive groups
"""
log.debug("Running function")
endpoint = "/sep/api/driveGroups"
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def drive_group_get(self, id):
"""
Get a drive group
"""
log.debug("Running function")
endpoint = "/sep/api/driveGroups/{}".format(id)
url = self._urlexpand(endpoint)
response = requests.get(url=url, auth=(self.username, self.password), verify=self.verify)
self._process_error(response)
data = response.json()
log.debug("Got response:\n{}".format(pprint.pformat(data)))
return data
def drive_group_find(self, **kwargs):
"""
Find a drive group. Based on list due to missing support in API v1
"""
return self._filter(self.drive_group_list(), **kwargs)
| 36.405535
| 152
| 0.595562
| 7,983
| 68,406
| 5.017663
| 0.056245
| 0.040144
| 0.038945
| 0.059716
| 0.800005
| 0.771844
| 0.733748
| 0.7142
| 0.690758
| 0.654234
| 0
| 0.00367
| 0.279113
| 68,406
| 1,878
| 153
| 36.42492
| 0.80861
| 0.17345
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| 0.684603
| 0
| 0
| 0.141248
| 0.043959
| 0
| 0
| 0
| 0
| 0
| 1
| 0.100993
| false
| 0.028146
| 0.004967
| 0
| 0.205298
| 0.081954
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| 0
| null | 0
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| 1
| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
1873725045da71101238429bc3731b253b43efb3
| 213
|
py
|
Python
|
Chapter06/Code/Edge Code/heater.py
|
PacktPublishing/Hands-On-Edge-Analytics-with-Azure-IoT
|
de51828e99ef60f24657d6d5e78a33f727bc0419
|
[
"MIT"
] | 4
|
2021-01-01T18:54:13.000Z
|
2022-02-10T16:08:23.000Z
|
Chapter06/Code/Edge Code/heater.py
|
keeyen88/Hands-On-Edge-Analytics-with-Azure-IoT
|
de51828e99ef60f24657d6d5e78a33f727bc0419
|
[
"MIT"
] | null | null | null |
Chapter06/Code/Edge Code/heater.py
|
keeyen88/Hands-On-Edge-Analytics-with-Azure-IoT
|
de51828e99ef60f24657d6d5e78a33f727bc0419
|
[
"MIT"
] | 2
|
2020-08-25T17:05:49.000Z
|
2021-04-02T03:32:43.000Z
|
import pycom
class Heater:
def __init__(self):
pycom.heartbeat(False)
def on(self):
pycom.rgbled(0xFF0000) # Red
def off(self):
pycom.rgbled(0x000000) # Black
| 16.384615
| 40
| 0.568075
| 24
| 213
| 4.875
| 0.666667
| 0.230769
| 0.25641
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084507
| 0.333333
| 213
| 12
| 41
| 17.75
| 0.739437
| 0.042254
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084656
| 0
| 0
| 1
| 0.375
| false
| 0
| 0.125
| 0
| 0.625
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
1879e62673ffc64e5cdf9956f0d822da742477b5
| 28
|
py
|
Python
|
python/testData/intentions/PyConvertToFStringIntentionTest/formatMethodGluedString.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/intentions/PyConvertToFStringIntentionTest/formatMethodGluedString.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/intentions/PyConvertToFStringIntentionTest/formatMethodGluedString.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
'{}' '{}'.format('foo', 42)
| 14
| 27
| 0.392857
| 3
| 28
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0.107143
| 28
| 1
| 28
| 28
| 0.36
| 0
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| 0.25
| 0
| 0
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| 1
| 0
| true
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| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 1
| 0
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| 1
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| null | 0
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| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
43e7088eff62db49fbf66dc08e859f15bfddefaa
| 1,028
|
py
|
Python
|
test/PR_test/integration_test/backend/test_get_lr.py
|
hanskrupakar/fastestimator
|
1c3fe89ad8b012991b524a6c48f328b2a80dc9f6
|
[
"Apache-2.0"
] | null | null | null |
test/PR_test/integration_test/backend/test_get_lr.py
|
hanskrupakar/fastestimator
|
1c3fe89ad8b012991b524a6c48f328b2a80dc9f6
|
[
"Apache-2.0"
] | null | null | null |
test/PR_test/integration_test/backend/test_get_lr.py
|
hanskrupakar/fastestimator
|
1c3fe89ad8b012991b524a6c48f328b2a80dc9f6
|
[
"Apache-2.0"
] | null | null | null |
import unittest
import numpy as np
import tensorflow as tf
import torch
import fastestimator as fe
from fastestimator.test.unittest_util import is_equal
class TestGetLr(unittest.TestCase):
def test_get_lr_tf(self):
m = fe.build(fe.architecture.tensorflow.LeNet, optimizer_fn=lambda: tf.optimizers.Adam(1e-4))
b = fe.backend.get_lr(model=m)
self.assertTrue(np.allclose(b, 1e-4))
m = fe.build(fe.architecture.tensorflow.LeNet, optimizer_fn=lambda: tf.optimizers.Adam(5e-2))
b = fe.backend.get_lr(model=m)
self.assertTrue(np.allclose(b, 5e-2))
def test_get_lr_torch(self):
m = fe.build(fe.architecture.pytorch.LeNet, optimizer_fn=lambda x: torch.optim.Adam(params=x, lr=1e-4))
b = fe.backend.get_lr(model=m)
self.assertTrue(np.allclose(b, 1e-4))
m = fe.build(fe.architecture.pytorch.LeNet, optimizer_fn=lambda x: torch.optim.Adam(params=x, lr=5e-2))
b = fe.backend.get_lr(model=m)
self.assertTrue(np.allclose(b, 5e-2))
| 34.266667
| 111
| 0.692607
| 164
| 1,028
| 4.243902
| 0.268293
| 0.043103
| 0.045977
| 0.057471
| 0.727011
| 0.727011
| 0.715517
| 0.715517
| 0.715517
| 0.715517
| 0
| 0.018913
| 0.177043
| 1,028
| 29
| 112
| 35.448276
| 0.803783
| 0
| 0
| 0.380952
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 1
| 0.095238
| false
| 0
| 0.285714
| 0
| 0.428571
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
43e724d53493c9740ac4df03961f79e15849f7d1
| 293
|
py
|
Python
|
pydrepr/drepr/models/__init__.py
|
scorpio975/d-repr
|
1d08024192642233d42d29e1d05f8713ee265bca
|
[
"MIT"
] | 5
|
2019-10-02T01:04:50.000Z
|
2022-03-08T09:39:50.000Z
|
pydrepr/drepr/models/__init__.py
|
scorpio975/d-repr
|
1d08024192642233d42d29e1d05f8713ee265bca
|
[
"MIT"
] | 3
|
2020-06-13T22:09:48.000Z
|
2021-04-23T08:23:49.000Z
|
pydrepr/drepr/models/__init__.py
|
scorpio975/d-repr
|
1d08024192642233d42d29e1d05f8713ee265bca
|
[
"MIT"
] | 5
|
2019-10-02T03:01:27.000Z
|
2021-02-02T13:34:35.000Z
|
from .drepr import *
from .drepr_builder import *
from .align import *
from .attr import *
from .sm import *
from .preprocessing import *
from .resource import *
from .path import *
from .parse_v1.resource_parser import ResourceParser
DEFAULT_RESOURCE_ID = ResourceParser.DEFAULT_RESOURCE_ID
| 24.416667
| 56
| 0.795222
| 39
| 293
| 5.794872
| 0.410256
| 0.353982
| 0.256637
| 0.274336
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003953
| 0.136519
| 293
| 11
| 57
| 26.636364
| 0.889328
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| false
| 0
| 0.9
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| null | 1
| 1
| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a139dd600e1312b874d805ee2ea939995180463f
| 2,053
|
py
|
Python
|
tests/test_settings.py
|
redb0/global-optimization
|
82a9624f5b92fa012e4dadec8451053f590e71db
|
[
"MIT"
] | 2
|
2018-08-02T20:39:24.000Z
|
2020-12-02T08:37:23.000Z
|
tests/test_settings.py
|
redb0/global-optimization
|
82a9624f5b92fa012e4dadec8451053f590e71db
|
[
"MIT"
] | null | null | null |
tests/test_settings.py
|
redb0/global-optimization
|
82a9624f5b92fa012e4dadec8451053f590e71db
|
[
"MIT"
] | null | null | null |
import pytest
from Settings import Settings
class TestSettings:
def setup(self):
self.settings = Settings()
def teardown(self):
pass
def test_min_flag(self):
assert self.settings.min_flag == 1
self.settings.min_flag = 1.2
assert self.settings.min_flag == 1
self.settings.min_flag = "qwe"
assert self.settings.min_flag == 1
self.settings.min_flag = 0
assert self.settings.min_flag == 0
def test_number_of_runs(self):
assert self.settings.number_of_runs == 100
self.settings.number_of_runs = -100
assert self.settings.number_of_runs == 100
self.settings.number_of_runs = 0
assert self.settings.number_of_runs == 100
self.settings.number_of_runs = 10
assert self.settings.number_of_runs == 10
def test_epsilon(self):
assert self.settings.epsilon == 0.5
self.settings.epsilon = 1
assert self.settings.epsilon == 1
self.settings.epsilon = 0.25
assert self.settings.epsilon == 0.25
self.settings.epsilon = [0.5, 0.25]
assert self.settings.epsilon == [0.5, 0.25]
self.settings.epsilon = [2, 0.25]
assert self.settings.epsilon == [2, 0.25]
self.settings.epsilon = "qwe"
assert self.settings.epsilon == 0.5
self.settings.epsilon = [0.5, "qwe"]
print(self.settings.epsilon)
assert self.settings.epsilon == 0.5
def test_path(self):
assert self.settings.abs_path_test_func == ""
self.settings.abs_path_test_func = ""
assert self.settings.abs_path_test_func == ""
self.settings.abs_path_test_func = "C:\\Projects_Python\\GlobalOptimization2\\examples_tf\\func5.json"
assert self.settings.abs_path_test_func == "C:\\Projects_Python\\GlobalOptimization2\\examples_tf\\func5.json"
self.settings.abs_path_test_func = "C:\\Projects_Python\\GlobalOptimization2\\examples_tf\\f3_contour.png"
assert self.settings.abs_path_test_func == ""
| 33.112903
| 118
| 0.652703
| 274
| 2,053
| 4.686131
| 0.153285
| 0.336449
| 0.266355
| 0.124611
| 0.802181
| 0.747664
| 0.657321
| 0.562305
| 0.562305
| 0.490654
| 0
| 0.040842
| 0.236727
| 2,053
| 61
| 119
| 33.655738
| 0.778558
| 0
| 0
| 0.26087
| 0
| 0
| 0.101315
| 0.096931
| 0
| 0
| 0
| 0
| 0.413043
| 1
| 0.130435
| false
| 0.021739
| 0.043478
| 0
| 0.195652
| 0.021739
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
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| 0
| 0
| 0
|
0
| 5
|
a13ba0ab7b10d29396c60d03d3eddd79945c9752
| 136,945
|
py
|
Python
|
diana/classes/goatools/test_data/goids_GOATOOLS_Consistent_Increase.py
|
quimaguirre/diana
|
930da0ea91ad87e354061af18db6c437a3318366
|
[
"MIT"
] | 3
|
2019-07-11T05:32:13.000Z
|
2021-03-12T01:10:21.000Z
|
diana/classes/goatools/test_data/goids_GOATOOLS_Consistent_Increase.py
|
quimaguirre/diana
|
930da0ea91ad87e354061af18db6c437a3318366
|
[
"MIT"
] | null | null | null |
diana/classes/goatools/test_data/goids_GOATOOLS_Consistent_Increase.py
|
quimaguirre/diana
|
930da0ea91ad87e354061af18db6c437a3318366
|
[
"MIT"
] | 1
|
2019-02-12T13:45:42.000Z
|
2019-02-12T13:45:42.000Z
|
"""GOATOOLS GOEA on 2015 Gjoneska data using go-basic.obo: fmt(1.2) rel(2017-01-12) 47,943 GO Terms"""
# Created: 2017-01-13
import collections as cx
nt_fields = [
"p_uncorrected",
"study_count",
"study_n",
"namespace",
"p_fdr_bh",
"study_items",
"NS",
"pop_items",
"pop_n",
"p_sm_bonferroni",
"is_obsolete",
"GO",
"name",
"pop_count",
"alt_ids",
"level",
"depth",
"enrichment",
"Cluster",
"geneid_set",
"symbols",
"symbol_set",
"geneids",
"format_txt",
"hdr_idx",
"is_hdrgo",
"is_usrgo",
"hdr1usr01",
"dcnt",
"D1",
"GO_name",
]
Nt = cx.namedtuple("Nt", " ".join(nt_fields))
# 60 items
nts = [
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0042127', name='', pop_count='', alt_ids='', level=4, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=271, D1='A', GO_name='regulation of cell proliferation'),
Nt(p_uncorrected=8.314240949182051e-06, study_count=9, study_n=794, namespace='biological_process', p_fdr_bh=0.0038172443824562806, study_items=set([u'ENSMUSG00000079362', u'ENSMUSG00000040264', u'ENSMUSG00000029298', u'ENSMUSG00000060550', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000041515', u'ENSMUSG00000073421', u'ENSMUSG00000024411']), NS='BP', pop_items=set([u'ENSMUSG00000040264', u'ENSMUSG00000026712', u'ENSMUSG00000026615', u'ENSMUSG00000021559', u'ENSMUSG00000019122', u'ENSMUSG00000028268', u'ENSMUSG00000031778', u'ENSMUSG00000032423', u'ENSMUSG00000018927', u'ENSMUSG00000035352', u'ENSMUSG00000029298', u'ENSMUSG00000079363', u'ENSMUSG00000079362', u'ENSMUSG00000040253', u'ENSMUSG00000074129', u'ENSMUSG00000028270', u'ENSMUSG00000057666', u'ENSMUSG00000034974', u'ENSMUSG00000073421', u'ENSMUSG00000000982', u'ENSMUSG00000023259', u'ENSMUSG00000035385', u'ENSMUSG00000060550', u'ENSMUSG00000041515', u'ENSMUSG00000018930', u'ENSMUSG00000024411']), pop_n=13836, p_sm_bonferroni=0.12596906462105725, is_obsolete=False, GO='GO:0071346', name='cellular response to interferon-gamma', pop_count=26, alt_ids=[], level=6, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000079362', u'ENSMUSG00000040264', u'ENSMUSG00000024411', u'ENSMUSG00000060550', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000041515', u'ENSMUSG00000073421', u'ENSMUSG00000029298']), symbols=u'Aqp4 Gbp2 Gbp2b Gbp3 Gbp9 Gm43302 H2-Ab1 H2-Q7 Irf8', symbol_set=set(['Gbp2b', u'Aqp4', u'Gbp3', u'Gbp2', 'H2-Q7', u'Irf8', u'Gbp9', 'Gm43302', 'H2-Ab1']), geneids='ENSMUSG00000060550 ENSMUSG00000040264 ENSMUSG00000079362 ENSMUSG00000024411 ENSMUSG00000028270 ENSMUSG00000028268 ENSMUSG00000041515 ENSMUSG00000073421 ENSMUSG00000029298', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='BF', GO_name='cellular response to interferon-gamma'),
Nt(p_uncorrected=4.231056097074788e-05, study_count=14, study_n=794, namespace='biological_process', p_fdr_bh=0.014617539815196508, study_items=set([u'ENSMUSG00000024927', u'ENSMUSG00000060802', u'ENSMUSG00000035673', u'ENSMUSG00000032372', u'ENSMUSG00000047123', u'ENSMUSG00000030793', u'ENSMUSG00000020638', u'ENSMUSG00000032691', u'ENSMUSG00000056019', u'ENSMUSG00000006728', u'ENSMUSG00000028270', u'ENSMUSG00000018920', u'ENSMUSG00000041515', u'ENSMUSG00000022500']), NS='BP', pop_items=set([u'ENSMUSG00000020889', u'ENSMUSG00000026712', u'ENSMUSG00000034160', u'ENSMUSG00000037992', u'ENSMUSG00000059089', u'ENSMUSG00000028270', u'ENSMUSG00000026842', u'ENSMUSG00000030793', u'ENSMUSG00000020638', u'ENSMUSG00000056019', u'ENSMUSG00000056501', u'ENSMUSG00000026883', u'ENSMUSG00000022500', u'ENSMUSG00000058301', u'ENSMUSG00000003184', u'ENSMUSG00000024927', u'ENSMUSG00000002250', u'ENSMUSG00000042419', u'ENSMUSG00000022194', u'ENSMUSG00000009681', u'ENSMUSG00000003437', u'ENSMUSG00000002602', u'ENSMUSG00000032372', u'ENSMUSG00000032377', u'ENSMUSG00000047123', u'ENSMUSG00000016024', u'ENSMUSG00000018920', u'ENSMUSG00000035385', u'ENSMUSG00000030595', u'ENSMUSG00000026104', u'ENSMUSG00000005583', u'ENSMUSG00000041135', u'ENSMUSG00000021624', u'ENSMUSG00000021699', u'ENSMUSG00000015243', u'ENSMUSG00000022901', u'ENSMUSG00000039217', u'ENSMUSG00000028525', u'ENSMUSG00000002108', u'ENSMUSG00000024789', u'ENSMUSG00000075701', u'ENSMUSG00000034855', u'ENSMUSG00000020399', u'ENSMUSG00000031555', u'ENSMUSG00000020850', u'ENSMUSG00000019461', u'ENSMUSG00000005951', u'ENSMUSG00000006728', u'ENSMUSG00000032369', u'ENSMUSG00000059866', u'ENSMUSG00000060802', u'ENSMUSG00000060803', u'ENSMUSG00000051439', u'ENSMUSG00000035673', u'ENSMUSG00000019850', u'ENSMUSG00000028163', u'ENSMUSG00000024045', u'ENSMUSG00000027164', u'ENSMUSG00000032691', u'ENSMUSG00000020484', u'ENSMUSG00000026234', u'ENSMUSG00000044786', u'ENSMUSG00000005609', u'ENSMUSG00000053436', u'ENSMUSG00000026361', u'ENSMUSG00000021936', u'ENSMUSG00000041515', u'ENSMUSG00000039005', u'ENSMUSG00000034889', u'ENSMUSG00000037411', u'ENSMUSG00000028599']), pop_n=13836, p_sm_bonferroni=0.6410473092678012, is_obsolete=False, GO='GO:0071222', name='cellular response to lipopolysaccharide', pop_count=71, alt_ids=[], level=5, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000024927', u'ENSMUSG00000022500', u'ENSMUSG00000060802', u'ENSMUSG00000035673', u'ENSMUSG00000032372', u'ENSMUSG00000030793', u'ENSMUSG00000047123', u'ENSMUSG00000032691', u'ENSMUSG00000056019', u'ENSMUSG00000006728', u'ENSMUSG00000028270', u'ENSMUSG00000018920', u'ENSMUSG00000041515', u'ENSMUSG00000020638']), symbols=u'B2m Cdk4 Cmpk2 Cxcl16 Gbp2 Irf8 Litaf Nlrp3 Plscr2 Pycard Rela Sbno2 Ticam1 Zfp709', symbol_set=set([u'Sbno2', u'Irf8', u'Plscr2', u'Nlrp3', u'Ticam1', u'Zfp709', u'Gbp2', u'Cmpk2', u'Litaf', u'B2m', u'Cdk4', u'Pycard', u'Rela', u'Cxcl16']), geneids='ENSMUSG00000024927 ENSMUSG00000060802 ENSMUSG00000035673 ENSMUSG00000032372 ENSMUSG00000047123 ENSMUSG00000030793 ENSMUSG00000020638 ENSMUSG00000056019 ENSMUSG00000032691 ENSMUSG00000018920 ENSMUSG00000006728 ENSMUSG00000028270 ENSMUSG00000041515 ENSMUSG00000022500', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='BF', GO_name='cellular response to lipopolysaccharide'),
Nt(p_uncorrected=0.00018831346875026884, study_count=3, study_n=794, namespace='biological_process', p_fdr_bh=0.04322935401568671, study_items=set([u'ENSMUSG00000064210', u'ENSMUSG00000029468', u'ENSMUSG00000029470']), NS='BP', pop_items=set([u'ENSMUSG00000064210', u'ENSMUSG00000029468', u'ENSMUSG00000029470']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0035590', name='purinergic nucleotide receptor signaling pathway', pop_count=3, alt_ids=[], level=5, depth=7, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000064210', u'ENSMUSG00000029468', u'ENSMUSG00000029470']), symbols=u'Ano6 P2rx4 P2rx7', symbol_set=set([u'Ano6', u'P2rx4', u'P2rx7']), geneids='ENSMUSG00000064210 ENSMUSG00000029468 ENSMUSG00000029470', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=1, D1='AB', GO_name='purinergic nucleotide receptor signaling pathway'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0019222', name='', pop_count='', alt_ids='', level=3, depth=3, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=3356, D1='A', GO_name='regulation of metabolic process'),
Nt(p_uncorrected=8.383267349436762e-07, study_count=10, study_n=794, namespace='biological_process', p_fdr_bh=0.0006048327791015066, study_items=set([u'ENSMUSG00000028191', u'ENSMUSG00000026029', u'ENSMUSG00000039304', u'ENSMUSG00000023905', u'ENSMUSG00000021408', u'ENSMUSG00000030793', u'ENSMUSG00000027322', u'ENSMUSG00000027248', u'ENSMUSG00000024778', u'ENSMUSG00000026942']), NS='BP', pop_items=set([u'ENSMUSG00000030339', u'ENSMUSG00000027466', u'ENSMUSG00000023905', u'ENSMUSG00000030793', u'ENSMUSG00000036986', u'ENSMUSG00000026942', u'ENSMUSG00000004446', u'ENSMUSG00000026029', u'ENSMUSG00000053647', u'ENSMUSG00000025507', u'ENSMUSG00000026223', u'ENSMUSG00000026395', u'ENSMUSG00000054499', u'ENSMUSG00000028191', u'ENSMUSG00000021408', u'ENSMUSG00000004637', u'ENSMUSG00000031980', u'ENSMUSG00000010047', u'ENSMUSG00000022781', u'ENSMUSG00000036712', u'ENSMUSG00000031548', u'ENSMUSG00000027322', u'ENSMUSG00000039304', u'ENSMUSG00000027248', u'ENSMUSG00000007655', u'ENSMUSG00000024778']), pop_n=13836, p_sm_bonferroni=0.012701488361131639, is_obsolete=False, GO='GO:2001238', name='positive regulation of extrinsic apoptotic signaling pathway', pop_count=26, alt_ids=[], level=7, depth=9, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000027322', u'ENSMUSG00000028191', u'ENSMUSG00000026029', u'ENSMUSG00000023905', u'ENSMUSG00000021408', u'ENSMUSG00000030793', u'ENSMUSG00000039304', u'ENSMUSG00000027248', u'ENSMUSG00000024778', u'ENSMUSG00000026942']), symbols=u'Bcl10 Casp8 Fas Pdia3 Pycard Ripk1 Siglec1 Tnfrsf12a Tnfsf10 Traf2', symbol_set=set([u'Traf2', u'Tnfsf10', u'Fas', u'Pdia3', u'Casp8', u'Bcl10', u'Ripk1', u'Pycard', u'Tnfrsf12a', u'Siglec1']), geneids='ENSMUSG00000028191 ENSMUSG00000026029 ENSMUSG00000023905 ENSMUSG00000021408 ENSMUSG00000027322 ENSMUSG00000030793 ENSMUSG00000026942 ENSMUSG00000027248 ENSMUSG00000024778 ENSMUSG00000039304', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=3, D1='A', GO_name='positive regulation of extrinsic apoptotic signaling pathway'),
Nt(p_uncorrected=3.19461130395962e-05, study_count=24, study_n=794, namespace='biological_process', p_fdr_bh=0.011805257528363953, study_items=set([u'ENSMUSG00000021451', u'ENSMUSG00000063450', u'ENSMUSG00000024397', u'ENSMUSG00000000555', u'ENSMUSG00000023348', u'ENSMUSG00000052593', u'ENSMUSG00000002603', u'ENSMUSG00000024621', u'ENSMUSG00000004056', u'ENSMUSG00000018920', u'ENSMUSG00000020689', u'ENSMUSG00000027087', u'ENSMUSG00000039621', u'ENSMUSG00000040254', u'ENSMUSG00000031740', u'ENSMUSG00000000957', u'ENSMUSG00000030538', u'ENSMUSG00000042228', u'ENSMUSG00000062960', u'ENSMUSG00000024965', u'ENSMUSG00000068748', u'ENSMUSG00000014599', u'ENSMUSG00000017774', u'ENSMUSG00000037926']), NS='BP', pop_items=set([u'ENSMUSG00000022836', u'ENSMUSG00000063531', u'ENSMUSG00000028228', u'ENSMUSG00000025856', u'ENSMUSG00000027985', u'ENSMUSG00000028431', u'ENSMUSG00000038894', u'ENSMUSG00000030110', u'ENSMUSG00000031778', u'ENSMUSG00000026697', u'ENSMUSG00000061353', u'ENSMUSG00000002489', u'ENSMUSG00000035133', u'ENSMUSG00000032035', u'ENSMUSG00000028583', u'ENSMUSG00000021822', u'ENSMUSG00000057969', u'ENSMUSG00000033717', u'ENSMUSG00000020372', u'ENSMUSG00000040254', u'ENSMUSG00000039239', u'ENSMUSG00000000489', u'ENSMUSG00000039936', u'ENSMUSG00000068154', u'ENSMUSG00000039621', u'ENSMUSG00000042228', u'ENSMUSG00000001506', u'ENSMUSG00000024965', u'ENSMUSG00000052353', u'ENSMUSG00000040152', u'ENSMUSG00000014599', u'ENSMUSG00000066551', u'ENSMUSG00000069135', u'ENSMUSG00000025499', u'ENSMUSG00000053475', u'ENSMUSG00000020074', u'ENSMUSG00000028249', u'ENSMUSG00000063450', u'ENSMUSG00000026193', u'ENSMUSG00000021478', u'ENSMUSG00000005672', u'ENSMUSG00000029231', u'ENSMUSG00000037685', u'ENSMUSG00000052593', u'ENSMUSG00000041417', u'ENSMUSG00000028195', u'ENSMUSG00000022150', u'ENSMUSG00000025207', u'ENSMUSG00000032402', u'ENSMUSG00000051675', u'ENSMUSG00000004936', u'ENSMUSG00000040552', u'ENSMUSG00000027087', u'ENSMUSG00000020053', u'ENSMUSG00000062209', u'ENSMUSG00000024101', u'ENSMUSG00000004056', u'ENSMUSG00000023088', u'ENSMUSG00000026836', u'ENSMUSG00000020859', u'ENSMUSG00000034855', u'ENSMUSG00000028466', u'ENSMUSG00000028019', u'ENSMUSG00000045991', u'ENSMUSG00000030774', u'ENSMUSG00000055980', u'ENSMUSG00000020484', u'ENSMUSG00000007613', u'ENSMUSG00000042524', u'ENSMUSG00000024456', u'ENSMUSG00000029816', u'ENSMUSG00000020122', u'ENSMUSG00000030890', u'ENSMUSG00000038777', u'ENSMUSG00000000627', u'ENSMUSG00000026923', u'ENSMUSG00000028064', u'ENSMUSG00000021451', u'ENSMUSG00000000957', u'ENSMUSG00000020828', u'ENSMUSG00000028780', u'ENSMUSG00000027835', u'ENSMUSG00000021224', u'ENSMUSG00000034684', u'ENSMUSG00000030707', u'ENSMUSG00000030805', u'ENSMUSG00000026121', u'ENSMUSG00000002603', u'ENSMUSG00000053647', u'ENSMUSG00000024620', u'ENSMUSG00000024621', u'ENSMUSG00000028864', u'ENSMUSG00000050357', u'ENSMUSG00000021904', u'ENSMUSG00000049107', u'ENSMUSG00000018920', u'ENSMUSG00000004655', u'ENSMUSG00000020659', u'ENSMUSG00000020689', u'ENSMUSG00000022031', u'ENSMUSG00000032135', u'ENSMUSG00000025809', u'ENSMUSG00000029291', u'ENSMUSG00000027695', u'ENSMUSG00000030530', u'ENSMUSG00000030539', u'ENSMUSG00000034974', u'ENSMUSG00000024397', u'ENSMUSG00000002900', u'ENSMUSG00000022607', u'ENSMUSG00000059456', u'ENSMUSG00000028874', u'ENSMUSG00000002580', u'ENSMUSG00000021338', u'ENSMUSG00000017774', u'ENSMUSG00000037926', u'ENSMUSG00000030538', u'ENSMUSG00000061878', u'ENSMUSG00000055723', u'ENSMUSG00000054836', u'ENSMUSG00000068290', u'ENSMUSG00000054693', u'ENSMUSG00000018565', u'ENSMUSG00000054808', u'ENSMUSG00000026864', u'ENSMUSG00000021360', u'ENSMUSG00000045382', u'ENSMUSG00000005534', u'ENSMUSG00000005871', u'ENSMUSG00000005533', u'ENSMUSG00000023348', u'ENSMUSG00000024486', u'ENSMUSG00000068566', u'ENSMUSG00000029648', u'ENSMUSG00000000127', u'ENSMUSG00000036585', u'ENSMUSG00000036106', u'ENSMUSG00000050965', u'ENSMUSG00000048376', u'ENSMUSG00000085795', u'ENSMUSG00000031841', u'ENSMUSG00000032050', u'ENSMUSG00000032359', u'ENSMUSG00000026064', u'ENSMUSG00000027358', u'ENSMUSG00000027111', u'ENSMUSG00000032006', u'ENSMUSG00000045092', u'ENSMUSG00000038264', u'ENSMUSG00000059146', u'ENSMUSG00000000555', u'ENSMUSG00000046761', u'ENSMUSG00000026479', u'ENSMUSG00000001435', u'ENSMUSG00000031740', u'ENSMUSG00000024789', u'ENSMUSG00000016496', u'ENSMUSG00000025586', u'ENSMUSG00000042682', u'ENSMUSG00000062960', u'ENSMUSG00000023951', u'ENSMUSG00000068748', u'ENSMUSG00000001227', u'ENSMUSG00000031955', u'ENSMUSG00000021835', u'ENSMUSG00000024300', u'ENSMUSG00000021936', u'ENSMUSG00000052133']), pop_n=13836, p_sm_bonferroni=0.484015558662922, is_obsolete=False, GO='GO:0030335', name='positive regulation of cell migration', pop_count=168, alt_ids=[], level=6, depth=7, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000040254', u'ENSMUSG00000021451', u'ENSMUSG00000063450', u'ENSMUSG00000039621', u'ENSMUSG00000024397', u'ENSMUSG00000031740', u'ENSMUSG00000000957', u'ENSMUSG00000030538', u'ENSMUSG00000042228', u'ENSMUSG00000062960', u'ENSMUSG00000024965', u'ENSMUSG00000020689', u'ENSMUSG00000000555', u'ENSMUSG00000023348', u'ENSMUSG00000052593', u'ENSMUSG00000014599', u'ENSMUSG00000002603', u'ENSMUSG00000024621', u'ENSMUSG00000004056', u'ENSMUSG00000018920', u'ENSMUSG00000068748', u'ENSMUSG00000017774', u'ENSMUSG00000037926', u'ENSMUSG00000027087']), symbols=u'Adam17 Aif1 Akt2 Cib1 Csf1 Csf1r Cxcl16 Fermt3 Itga5 Itgav Itgb3 Kdr Lyn Mmp14 Mmp2 Myo1c Prex1 Ptprz1 Sema3d Sema4d Ssh2 Syne2 Tgfb1 Trip6', symbol_set=set([u'Ptprz1', u'Ssh2', u'Trip6', u'Tgfb1', u'Itgb3', u'Csf1', u'Itgav', u'Adam17', u'Syne2', u'Mmp2', u'Aif1', u'Mmp14', u'Prex1', u'Csf1r', u'Fermt3', u'Akt2', u'Sema4d', u'Sema3d', u'Myo1c', u'Itga5', u'Cib1', u'Lyn', u'Kdr', u'Cxcl16']), geneids='ENSMUSG00000021451 ENSMUSG00000063450 ENSMUSG00000024397 ENSMUSG00000000555 ENSMUSG00000023348 ENSMUSG00000052593 ENSMUSG00000002603 ENSMUSG00000024621 ENSMUSG00000004056 ENSMUSG00000018920 ENSMUSG00000068748 ENSMUSG00000027087 ENSMUSG00000039621 ENSMUSG00000040254 ENSMUSG00000031740 ENSMUSG00000000957 ENSMUSG00000030538 ENSMUSG00000042228 ENSMUSG00000062960 ENSMUSG00000024965 ENSMUSG00000020689 ENSMUSG00000014599 ENSMUSG00000017774 ENSMUSG00000037926', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=67, D1='A', GO_name='positive regulation of cell migration'),
Nt(p_uncorrected=2.6840419359548623e-11, study_count=15, study_n=794, namespace='biological_process', p_fdr_bh=3.893361146121815e-07, study_items=set([u'ENSMUSG00000024349', u'ENSMUSG00000058163', u'ENSMUSG00000043263', u'ENSMUSG00000069874', u'ENSMUSG00000090942', u'ENSMUSG00000040264', u'ENSMUSG00000073489', u'ENSMUSG00000078922', u'ENSMUSG00000020464', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000078920', u'ENSMUSG00000073555', u'ENSMUSG00000037860', u'ENSMUSG00000069893']), NS='BP', pop_items=set([u'ENSMUSG00000040264', u'ENSMUSG00000020307', u'ENSMUSG00000058163', u'ENSMUSG00000009293', u'ENSMUSG00000078922', u'ENSMUSG00000078920', u'ENSMUSG00000078921', u'ENSMUSG00000036199', u'ENSMUSG00000028268', u'ENSMUSG00000029203', u'ENSMUSG00000073555', u'ENSMUSG00000021494', u'ENSMUSG00000043263', u'ENSMUSG00000039997', u'ENSMUSG00000068329', u'ENSMUSG00000054072', u'ENSMUSG00000026104', u'ENSMUSG00000037860', u'ENSMUSG00000068606', u'ENSMUSG00000018899', u'ENSMUSG00000069874', u'ENSMUSG00000046879', u'ENSMUSG00000073489', u'ENSMUSG00000078853', u'ENSMUSG00000020464', u'ENSMUSG00000028270', u'ENSMUSG00000069893', u'ENSMUSG00000024349', u'ENSMUSG00000034459', u'ENSMUSG00000090942', u'ENSMUSG00000074896']), pop_n=13836, p_sm_bonferroni=4.066591937165212e-07, is_obsolete=False, GO='GO:0035458', name='cellular response to interferon-beta', pop_count=31, alt_ids=[], level=6, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000024349', u'ENSMUSG00000058163', u'ENSMUSG00000043263', u'ENSMUSG00000069874', u'ENSMUSG00000090942', u'ENSMUSG00000040264', u'ENSMUSG00000073489', u'ENSMUSG00000078922', u'ENSMUSG00000020464', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000078920', u'ENSMUSG00000069893', u'ENSMUSG00000037860', u'ENSMUSG00000073555']), symbols=u'9930111J21Rik1 Aim2 F830016B08Rik Gbp2 Gbp2b Gbp3 Gm4951 Gm5431 Ifi204 Ifi209 Ifi47 Irgm2 Pnpt1 Tgtp1 Tmem173', symbol_set=set(['Gbp2b', u'Gm4951', u'9930111J21Rik1', u'F830016B08Rik', 'Ifi209', u'Gbp3', u'Tgtp1', u'Ifi204', u'Pnpt1', u'Aim2', u'Gbp2', u'Ifi47', u'Gm5431', u'Irgm2', u'Tmem173']), geneids='ENSMUSG00000024349 ENSMUSG00000058163 ENSMUSG00000043263 ENSMUSG00000069874 ENSMUSG00000078920 ENSMUSG00000090942 ENSMUSG00000040264 ENSMUSG00000073489 ENSMUSG00000078922 ENSMUSG00000020464 ENSMUSG00000028270 ENSMUSG00000028268 ENSMUSG00000037860 ENSMUSG00000073555 ENSMUSG00000069893', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='BF', GO_name='cellular response to interferon-beta'),
Nt(p_uncorrected=5.138075067296199e-05, study_count=4, study_n=794, namespace='biological_process', p_fdr_bh=0.015569395068920942, study_items=set([u'ENSMUSG00000058715', u'ENSMUSG00000031838', u'ENSMUSG00000015947', u'ENSMUSG00000061232']), NS='BP', pop_items=set([u'ENSMUSG00000015947', u'ENSMUSG00000059498', u'ENSMUSG00000031838', u'ENSMUSG00000058715', u'ENSMUSG00000061232']), pop_n=13836, p_sm_bonferroni=0.7784697534460471, is_obsolete=False, GO='GO:0042590', name='antigen processing and presentation of exogenous peptide antigen via MHC class I', pop_count=5, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000058715', u'ENSMUSG00000031838', u'ENSMUSG00000015947', u'ENSMUSG00000061232']), symbols=u'Fcer1g Fcgr1 H2-K1 Ifi30', symbol_set=set([u'Fcer1g', u'Fcgr1', u'Ifi30', 'H2-K1']), geneids='ENSMUSG00000015947 ENSMUSG00000031838 ENSMUSG00000058715 ENSMUSG00000061232', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=2, D1='L', GO_name='antigen processing and presentation of exogenous peptide antigen via MHC class I'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0007165', name='', pop_count='', alt_ids='', level=2, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=724, D1='AB', GO_name='signal transduction'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0023051', name='', pop_count='', alt_ids='', level=3, depth=3, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=1395, D1='A', GO_name='regulation of signaling'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0008219', name='', pop_count='', alt_ids='', level=3, depth=3, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=107, D1='BC', GO_name='cell death'),
Nt(p_uncorrected=0.00014711294614682194, study_count=4, study_n=794, namespace='biological_process', p_fdr_bh=0.037148470784508315, study_items=set([u'ENSMUSG00000031101', u'ENSMUSG00000045005', u'ENSMUSG00000026942', u'ENSMUSG00000060802']), NS='BP', pop_items=set([u'ENSMUSG00000032688', u'ENSMUSG00000060802', u'ENSMUSG00000031101', u'ENSMUSG00000027164', u'ENSMUSG00000026942', u'ENSMUSG00000045005']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0002726', name='positive regulation of T cell cytokine production', pop_count=6, alt_ids=[], level=7, depth=9, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000031101', u'ENSMUSG00000045005', u'ENSMUSG00000026942', u'ENSMUSG00000060802']), symbols=u'B2m Fzd5 Sash3 Traf2', symbol_set=set([u'Traf2', u'B2m', u'Sash3', u'Fzd5']), geneids='ENSMUSG00000031101 ENSMUSG00000045005 ENSMUSG00000026942 ENSMUSG00000060802', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=2, D1='A', GO_name='positive regulation of T cell cytokine production'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0045595', name='', pop_count='', alt_ids='', level=4, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=864, D1='A', GO_name='regulation of cell differentiation'),
Nt(p_uncorrected=1.1301346989526834e-07, study_count=8, study_n=794, namespace='biological_process', p_fdr_bh=0.00010701669264895065, study_items=set([u'ENSMUSG00000060550', u'ENSMUSG00000073411', u'ENSMUSG00000060802', u'ENSMUSG00000067212', u'ENSMUSG00000035929', u'ENSMUSG00000073409', u'ENSMUSG00000053835', u'ENSMUSG00000061232']), NS='BP', pop_items=set([u'ENSMUSG00000060550', u'ENSMUSG00000073411', u'ENSMUSG00000053835', u'ENSMUSG00000060802', u'ENSMUSG00000024392', u'ENSMUSG00000035929', u'ENSMUSG00000056116', u'ENSMUSG00000079507', u'ENSMUSG00000073409', u'ENSMUSG00000016206', u'ENSMUSG00000067212', u'ENSMUSG00000061232', u'ENSMUSG00000026471']), pop_n=13836, p_sm_bonferroni=0.0017122670823832107, is_obsolete=False, GO='GO:0002474', name='antigen processing and presentation of peptide antigen via MHC class I', pop_count=13, alt_ids=[], level=4, depth=4, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000073411', u'ENSMUSG00000060802', u'ENSMUSG00000067212', u'ENSMUSG00000035929', u'ENSMUSG00000061232', u'ENSMUSG00000073409', u'ENSMUSG00000053835', u'ENSMUSG00000060550']), symbols=u'B2m H2-D1 H2-K1 H2-Q4 H2-Q6 H2-Q7 H2-T23 H2-T24', symbol_set=set(['H2-K1', 'H2-D1', 'H2-Q4', 'H2-T23', 'H2-Q6', 'H2-T24', u'B2m', 'H2-Q7']), geneids='ENSMUSG00000073411 ENSMUSG00000060802 ENSMUSG00000053835 ENSMUSG00000035929 ENSMUSG00000061232 ENSMUSG00000067212 ENSMUSG00000060550 ENSMUSG00000073409', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=8, D1='L', GO_name='antigen processing and presentation of peptide antigen via MHC class I'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0010941', name='', pop_count='', alt_ids='', level=4, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=335, D1='A', GO_name='regulation of cell death'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0033993', name='', pop_count='', alt_ids='', level=4, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=125, D1='F', GO_name='response to lipid'),
Nt(p_uncorrected=1.263279135958711e-06, study_count=10, study_n=794, namespace='biological_process', p_fdr_bh=0.0008321713995178447, study_items=set([u'ENSMUSG00000024927', u'ENSMUSG00000025888', u'ENSMUSG00000029468', u'ENSMUSG00000027995', u'ENSMUSG00000030793', u'ENSMUSG00000015947', u'ENSMUSG00000019810', u'ENSMUSG00000026433', u'ENSMUSG00000015950', u'ENSMUSG00000041515']), NS='BP', pop_items=set([u'ENSMUSG00000055447', u'ENSMUSG00000070034', u'ENSMUSG00000026656', u'ENSMUSG00000027684', u'ENSMUSG00000030793', u'ENSMUSG00000025372', u'ENSMUSG00000029468', u'ENSMUSG00000024927', u'ENSMUSG00000019804', u'ENSMUSG00000003184', u'ENSMUSG00000015947', u'ENSMUSG00000026433', u'ENSMUSG00000026104', u'ENSMUSG00000039005', u'ENSMUSG00000029684', u'ENSMUSG00000020525', u'ENSMUSG00000015478', u'ENSMUSG00000025888', u'ENSMUSG00000051439', u'ENSMUSG00000027995', u'ENSMUSG00000045827', u'ENSMUSG00000026177', u'ENSMUSG00000019810', u'ENSMUSG00000015950', u'ENSMUSG00000041515', u'ENSMUSG00000007655', u'ENSMUSG00000032041']), pop_n=13836, p_sm_bonferroni=0.01913994218891043, is_obsolete=False, GO='GO:0009617', name='response to bacterium', pop_count=27, alt_ids=['GO:0009618', 'GO:0009680'], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000024927', u'ENSMUSG00000025888', u'ENSMUSG00000029468', u'ENSMUSG00000027995', u'ENSMUSG00000030793', u'ENSMUSG00000015947', u'ENSMUSG00000019810', u'ENSMUSG00000026433', u'ENSMUSG00000015950', u'ENSMUSG00000041515']), symbols=u'Casp1 Fcgr1 Fuca2 Irf8 Ncf1 P2rx7 Pycard Rab29 Rela Tlr2', symbol_set=set([u'Ncf1', u'Casp1', 'Rab29', u'Irf8', u'Tlr2', u'P2rx7', u'Pycard', u'Rela', u'Fuca2', u'Fcgr1']), geneids='ENSMUSG00000024927 ENSMUSG00000025888 ENSMUSG00000029468 ENSMUSG00000027995 ENSMUSG00000030793 ENSMUSG00000015947 ENSMUSG00000019810 ENSMUSG00000026433 ENSMUSG00000015950 ENSMUSG00000041515', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=12, D1='F', GO_name='response to bacterium'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0001816', name='', pop_count='', alt_ids='', level=3, depth=3, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=110, D1='CJ', GO_name='cytokine production'),
Nt(p_uncorrected=8.063864985346781e-05, study_count=10, study_n=794, namespace='biological_process', p_fdr_bh=0.022625114517220202, study_items=set([u'ENSMUSG00000025492', u'ENSMUSG00000045322', u'ENSMUSG00000053175', u'ENSMUSG00000029826', u'ENSMUSG00000040725', u'ENSMUSG00000032690', u'ENSMUSG00000031639', u'ENSMUSG00000052776', u'ENSMUSG00000037921', u'ENSMUSG00000020075']), NS='BP', pop_items=set([u'ENSMUSG00000032661', u'ENSMUSG00000023341', u'ENSMUSG00000045322', u'ENSMUSG00000007659', u'ENSMUSG00000027951', u'ENSMUSG00000070583', u'ENSMUSG00000046718', u'ENSMUSG00000026469', u'ENSMUSG00000031639', u'ENSMUSG00000041827', u'ENSMUSG00000010051', u'ENSMUSG00000032508', u'ENSMUSG00000053175', u'ENSMUSG00000079017', u'ENSMUSG00000029826', u'ENSMUSG00000040725', u'ENSMUSG00000033777', u'ENSMUSG00000052776', u'ENSMUSG00000026896', u'ENSMUSG00000039236', u'ENSMUSG00000017830', u'ENSMUSG00000024079', u'ENSMUSG00000060591', u'ENSMUSG00000029561', u'ENSMUSG00000029605', u'ENSMUSG00000008683', u'ENSMUSG00000010047', u'ENSMUSG00000025492', u'ENSMUSG00000030421', u'ENSMUSG00000034459', u'ENSMUSG00000020075', u'ENSMUSG00000000787', u'ENSMUSG00000027770', u'ENSMUSG00000040296', u'ENSMUSG00000032690', u'ENSMUSG00000020641', u'ENSMUSG00000051451', u'ENSMUSG00000045932', u'ENSMUSG00000037921', u'ENSMUSG00000037149', u'ENSMUSG00000000386']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0009615', name='response to virus', pop_count=41, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000025492', u'ENSMUSG00000045322', u'ENSMUSG00000053175', u'ENSMUSG00000029826', u'ENSMUSG00000040725', u'ENSMUSG00000032690', u'ENSMUSG00000031639', u'ENSMUSG00000052776', u'ENSMUSG00000037921', u'ENSMUSG00000020075']), symbols=u'Bcl3 Ddx21 Ddx60 Hnrnpul1 Ifitm3 Oas1a Oas2 Tlr3 Tlr9 Zc3hav1', symbol_set=set([u'Ifitm3', u'Ddx21', u'Bcl3', u'Tlr3', u'Oas2', u'Zc3hav1', u'Ddx60', u'Oas1a', u'Tlr9', u'Hnrnpul1']), geneids='ENSMUSG00000025492 ENSMUSG00000045322 ENSMUSG00000053175 ENSMUSG00000029826 ENSMUSG00000032690 ENSMUSG00000040725 ENSMUSG00000031639 ENSMUSG00000052776 ENSMUSG00000037921 ENSMUSG00000020075', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=13, D1='F', GO_name='response to virus'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0002682', name='', pop_count='', alt_ids='', level=3, depth=3, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=1201, D1='A', GO_name='regulation of immune system process'),
Nt(p_uncorrected=0.00011413256783345521, study_count=7, study_n=794, namespace='biological_process', p_fdr_bh=0.030878973843654997, study_items=set([u'ENSMUSG00000027852', u'ENSMUSG00000053175', u'ENSMUSG00000031101', u'ENSMUSG00000030793', u'ENSMUSG00000022952', u'ENSMUSG00000041515', u'ENSMUSG00000045005']), NS='BP', pop_items=set([u'ENSMUSG00000025980', u'ENSMUSG00000027852', u'ENSMUSG00000022967', u'ENSMUSG00000053175', u'ENSMUSG00000039217', u'ENSMUSG00000025499', u'ENSMUSG00000031101', u'ENSMUSG00000028525', u'ENSMUSG00000030793', u'ENSMUSG00000020399', u'ENSMUSG00000050357', u'ENSMUSG00000026177', u'ENSMUSG00000041135', u'ENSMUSG00000022952', u'ENSMUSG00000016206', u'ENSMUSG00000021994', u'ENSMUSG00000041515', u'ENSMUSG00000045005', u'ENSMUSG00000051439', u'ENSMUSG00000042817', u'ENSMUSG00000039005']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0032729', name='positive regulation of interferon-gamma production', pop_count=21, alt_ids=[], level=6, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000027852', u'ENSMUSG00000022952', u'ENSMUSG00000053175', u'ENSMUSG00000031101', u'ENSMUSG00000045005', u'ENSMUSG00000041515', u'ENSMUSG00000030793']), symbols=u'Bcl3 Fzd5 Irf8 Nras Pycard Runx1 Sash3', symbol_set=set([u'Fzd5', u'Irf8', u'Nras', u'Runx1', u'Pycard', u'Sash3', u'Bcl3']), geneids='ENSMUSG00000027852 ENSMUSG00000053175 ENSMUSG00000031101 ENSMUSG00000030793 ENSMUSG00000022952 ENSMUSG00000041515 ENSMUSG00000045005', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=2, D1='A', GO_name='positive regulation of interferon-gamma production'),
Nt(p_uncorrected=0.00018720354472778378, study_count=9, study_n=794, namespace='biological_process', p_fdr_bh=0.04322935401568671, study_items=set([u'ENSMUSG00000028191', u'ENSMUSG00000022346', u'ENSMUSG00000030793', u'ENSMUSG00000032691', u'ENSMUSG00000039304', u'ENSMUSG00000038058', u'ENSMUSG00000029249', u'ENSMUSG00000007815', u'ENSMUSG00000024778']), NS='BP', pop_items=set([u'ENSMUSG00000035199', u'ENSMUSG00000020366', u'ENSMUSG00000002015', u'ENSMUSG00000021576', u'ENSMUSG00000021559', u'ENSMUSG00000030793', u'ENSMUSG00000027381', u'ENSMUSG00000036199', u'ENSMUSG00000019997', u'ENSMUSG00000029249', u'ENSMUSG00000027282', u'ENSMUSG00000024959', u'ENSMUSG00000020349', u'ENSMUSG00000022556', u'ENSMUSG00000022346', u'ENSMUSG00000053647', u'ENSMUSG00000068329', u'ENSMUSG00000071369', u'ENSMUSG00000048376', u'ENSMUSG00000020063', u'ENSMUSG00000018909', u'ENSMUSG00000034485', u'ENSMUSG00000028191', u'ENSMUSG00000028195', u'ENSMUSG00000026834', u'ENSMUSG00000019054', u'ENSMUSG00000024947', u'ENSMUSG00000030417', u'ENSMUSG00000026181', u'ENSMUSG00000037787', u'ENSMUSG00000000787', u'ENSMUSG00000066643', u'ENSMUSG00000032691', u'ENSMUSG00000039304', u'ENSMUSG00000038058', u'ENSMUSG00000007815', u'ENSMUSG00000024778']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0043280', name='positive regulation of cysteine-type endopeptidase activity involved in apoptotic process', pop_count=37, alt_ids=[], level=8, depth=12, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000028191', u'ENSMUSG00000022346', u'ENSMUSG00000030793', u'ENSMUSG00000032691', u'ENSMUSG00000039304', u'ENSMUSG00000038058', u'ENSMUSG00000029249', u'ENSMUSG00000007815', u'ENSMUSG00000024778']), symbols=u'Bcl10 Fas Myc Nlrp3 Nod1 Pycard Rest Rhoa Tnfsf10', symbol_set=set([u'Tnfsf10', u'Nlrp3', u'Fas', u'Rest', u'Rhoa', u'Nod1', u'Pycard', u'Myc', u'Bcl10']), geneids='ENSMUSG00000028191 ENSMUSG00000022346 ENSMUSG00000030793 ENSMUSG00000032691 ENSMUSG00000039304 ENSMUSG00000038058 ENSMUSG00000029249 ENSMUSG00000007815 ENSMUSG00000024778', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=7, D1='A', GO_name='positive regulation of cysteine-type endopeptidase activity involved in apoptotic process'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0022610', name='', pop_count='', alt_ids='', level=1, depth=1, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=127, D1='P', GO_name='biological adhesion'),
Nt(p_uncorrected=9.359622790877207e-05, study_count=17, study_n=794, namespace='biological_process', p_fdr_bh=0.025783208164469194, study_items=set([u'ENSMUSG00000024927', u'ENSMUSG00000022178', u'ENSMUSG00000029826', u'ENSMUSG00000026029', u'ENSMUSG00000045322', u'ENSMUSG00000021408', u'ENSMUSG00000000275', u'ENSMUSG00000047123', u'ENSMUSG00000026749', u'ENSMUSG00000025888', u'ENSMUSG00000002233', u'ENSMUSG00000026942', u'ENSMUSG00000038058', u'ENSMUSG00000031639', u'ENSMUSG00000020941', u'ENSMUSG00000022500', u'ENSMUSG00000047098']), NS='BP', pop_items=set([u'ENSMUSG00000067377', u'ENSMUSG00000027466', u'ENSMUSG00000045322', u'ENSMUSG00000059327', u'ENSMUSG00000028108', u'ENSMUSG00000074781', u'ENSMUSG00000022178', u'ENSMUSG00000066406', u'ENSMUSG00000068220', u'ENSMUSG00000000266', u'ENSMUSG00000006932', u'ENSMUSG00000015120', u'ENSMUSG00000037523', u'ENSMUSG00000019843', u'ENSMUSG00000035235', u'ENSMUSG00000026842', u'ENSMUSG00000021408', u'ENSMUSG00000045038', u'ENSMUSG00000031887', u'ENSMUSG00000027397', u'ENSMUSG00000027399', u'ENSMUSG00000025199', u'ENSMUSG00000057367', u'ENSMUSG00000000275', u'ENSMUSG00000037089', u'ENSMUSG00000022255', u'ENSMUSG00000020941', u'ENSMUSG00000038058', u'ENSMUSG00000055762', u'ENSMUSG00000026942', u'ENSMUSG00000025034', u'ENSMUSG00000023826', u'ENSMUSG00000022552', u'ENSMUSG00000026029', u'ENSMUSG00000029826', u'ENSMUSG00000003184', u'ENSMUSG00000047123', u'ENSMUSG00000020134', u'ENSMUSG00000051675', u'ENSMUSG00000031392', u'ENSMUSG00000004394', u'ENSMUSG00000041000', u'ENSMUSG00000059883', u'ENSMUSG00000031155', u'ENSMUSG00000032966', u'ENSMUSG00000002688', u'ENSMUSG00000055204', u'ENSMUSG00000034457', u'ENSMUSG00000041241', u'ENSMUSG00000032570', u'ENSMUSG00000031021', u'ENSMUSG00000053253', u'ENSMUSG00000026596', u'ENSMUSG00000078923', u'ENSMUSG00000031143', u'ENSMUSG00000039713', u'ENSMUSG00000042312', u'ENSMUSG00000031639', u'ENSMUSG00000047098', u'ENSMUSG00000004221', u'ENSMUSG00000032508', u'ENSMUSG00000024425', u'ENSMUSG00000060548', u'ENSMUSG00000041135', u'ENSMUSG00000027699', u'ENSMUSG00000030245', u'ENSMUSG00000028701', u'ENSMUSG00000046668', u'ENSMUSG00000021096', u'ENSMUSG00000057193', u'ENSMUSG00000025888', u'ENSMUSG00000059866', u'ENSMUSG00000025647', u'ENSMUSG00000005413', u'ENSMUSG00000033208', u'ENSMUSG00000026749', u'ENSMUSG00000050953', u'ENSMUSG00000030339', u'ENSMUSG00000037820', u'ENSMUSG00000036299', u'ENSMUSG00000008734', u'ENSMUSG00000022500', u'ENSMUSG00000028284', u'ENSMUSG00000024927', u'ENSMUSG00000028179', u'ENSMUSG00000032688', u'ENSMUSG00000024091', u'ENSMUSG00000022757', u'ENSMUSG00000035798', u'ENSMUSG00000002233', u'ENSMUSG00000039005', u'ENSMUSG00000021701', u'ENSMUSG00000033430', u'ENSMUSG00000036686', u'ENSMUSG00000029060', u'ENSMUSG00000028756', u'ENSMUSG00000028522', u'ENSMUSG00000003099', u'ENSMUSG00000031328', u'ENSMUSG00000027164', u'ENSMUSG00000020921', u'ENSMUSG00000025575', u'ENSMUSG00000052889', u'ENSMUSG00000032041', u'ENSMUSG00000030471']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0043123', name='positive regulation of I-kappaB kinase/NF-kappaB signaling', pop_count=105, alt_ids=[], level=7, depth=8, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000045322', u'ENSMUSG00000021408', u'ENSMUSG00000026942', u'ENSMUSG00000031639', u'ENSMUSG00000022500', u'ENSMUSG00000047098', u'ENSMUSG00000024927', u'ENSMUSG00000022178', u'ENSMUSG00000025888', u'ENSMUSG00000026029', u'ENSMUSG00000029826', u'ENSMUSG00000000275', u'ENSMUSG00000047123', u'ENSMUSG00000026749', u'ENSMUSG00000002233', u'ENSMUSG00000038058', u'ENSMUSG00000020941']), symbols=u'Ajuba Casp1 Casp8 Litaf Map3k14 Nek6 Nod1 Rela Rhoc Ripk1 Rnf31 Ticam1 Tlr3 Tlr9 Traf2 Trim25 Zc3hav1', symbol_set=set([u'Nek6', u'Ticam1', u'Traf2', u'Casp1', u'Trim25', u'Litaf', u'Casp8', u'Ripk1', u'Tlr3', u'Nod1', u'Zc3hav1', u'Rhoc', u'Map3k14', u'Rela', u'Tlr9', 'Ajuba', u'Rnf31']), geneids='ENSMUSG00000024927 ENSMUSG00000022178 ENSMUSG00000025888 ENSMUSG00000026029 ENSMUSG00000045322 ENSMUSG00000021408 ENSMUSG00000000275 ENSMUSG00000047123 ENSMUSG00000026749 ENSMUSG00000002233 ENSMUSG00000026942 ENSMUSG00000029826 ENSMUSG00000031639 ENSMUSG00000020941 ENSMUSG00000022500 ENSMUSG00000047098 ENSMUSG00000038058', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=4, D1='A', GO_name='positive regulation of I-kappaB kinase/NF-kappaB signaling'),
Nt(p_uncorrected=4.979940413768524e-05, study_count=37, study_n=794, namespace='biological_process', p_fdr_bh=0.015569395068920942, study_items=set([u'ENSMUSG00000034165', u'ENSMUSG00000022831', u'ENSMUSG00000028333', u'ENSMUSG00000004508', u'ENSMUSG00000024927', u'ENSMUSG00000052593', u'ENSMUSG00000028639', u'ENSMUSG00000022346', u'ENSMUSG00000004266', u'ENSMUSG00000030760', u'ENSMUSG00000024621', u'ENSMUSG00000045730', u'ENSMUSG00000021109', u'ENSMUSG00000027506', u'ENSMUSG00000000751', u'ENSMUSG00000025403', u'ENSMUSG00000027087', u'ENSMUSG00000022146', u'ENSMUSG00000056220', u'ENSMUSG00000027947', u'ENSMUSG00000032492', u'ENSMUSG00000006356', u'ENSMUSG00000003283', u'ENSMUSG00000030538', u'ENSMUSG00000027803', u'ENSMUSG00000042228', u'ENSMUSG00000062960', u'ENSMUSG00000029175', u'ENSMUSG00000029838', u'ENSMUSG00000033220', u'ENSMUSG00000004040', u'ENSMUSG00000005373', u'ENSMUSG00000014599', u'ENSMUSG00000026628', u'ENSMUSG00000006728', u'ENSMUSG00000002603', 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u'ENSMUSG00000022505', u'ENSMUSG00000052957', u'ENSMUSG00000020484', u'ENSMUSG00000032187', u'ENSMUSG00000050335', u'ENSMUSG00000024486', u'ENSMUSG00000022346', u'ENSMUSG00000031446', u'ENSMUSG00000024073', u'ENSMUSG00000076431', u'ENSMUSG00000027985', u'ENSMUSG00000000127', u'ENSMUSG00000063632', u'ENSMUSG00000030525', u'ENSMUSG00000031565', u'ENSMUSG00000021835', u'ENSMUSG00000085795', u'ENSMUSG00000046532', u'ENSMUSG00000038007', u'ENSMUSG00000026104', u'ENSMUSG00000022425', u'ENSMUSG00000032359', u'ENSMUSG00000000751', u'ENSMUSG00000025403', u'ENSMUSG00000027447', u'ENSMUSG00000032725', u'ENSMUSG00000045092', u'ENSMUSG00000034394', u'ENSMUSG00000001517', u'ENSMUSG00000038260', u'ENSMUSG00000029231', u'ENSMUSG00000039153', u'ENSMUSG00000029999', u'ENSMUSG00000026479', u'ENSMUSG00000024789', u'ENSMUSG00000068037', u'ENSMUSG00000038943', u'ENSMUSG00000028291', u'ENSMUSG00000052593', u'ENSMUSG00000031980', u'ENSMUSG00000021379', u'ENSMUSG00000030890', u'ENSMUSG00000042680', u'ENSMUSG00000000184', u'ENSMUSG00000074698', u'ENSMUSG00000028982', u'ENSMUSG00000032006', u'ENSMUSG00000032562', u'ENSMUSG00000029175', u'ENSMUSG00000054387', u'ENSMUSG00000033220', u'ENSMUSG00000057506', u'ENSMUSG00000004040', u'ENSMUSG00000024256', u'ENSMUSG00000054252', u'ENSMUSG00000027859', u'ENSMUSG00000048616', u'ENSMUSG00000062352', u'ENSMUSG00000028249', u'ENSMUSG00000032532', u'ENSMUSG00000007659', u'ENSMUSG00000006333', u'ENSMUSG00000054302', u'ENSMUSG00000018604', u'ENSMUSG00000016308', u'ENSMUSG00000025578']), pop_n=13836, p_sm_bonferroni=0.7545107720900691, is_obsolete=False, GO='GO:0008284', name='positive regulation of cell proliferation', pop_count=322, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000034165', u'ENSMUSG00000022831', u'ENSMUSG00000056220', u'ENSMUSG00000004508', u'ENSMUSG00000024927', u'ENSMUSG00000052593', u'ENSMUSG00000028639', u'ENSMUSG00000022346', u'ENSMUSG00000004266', u'ENSMUSG00000042228', u'ENSMUSG00000024621', u'ENSMUSG00000045730', u'ENSMUSG00000021109', u'ENSMUSG00000027506', u'ENSMUSG00000000751', u'ENSMUSG00000025403', u'ENSMUSG00000027087', u'ENSMUSG00000006728', u'ENSMUSG00000028333', u'ENSMUSG00000027947', u'ENSMUSG00000032492', u'ENSMUSG00000006356', u'ENSMUSG00000003283', u'ENSMUSG00000030538', u'ENSMUSG00000027803', u'ENSMUSG00000030760', u'ENSMUSG00000062960', u'ENSMUSG00000029838', u'ENSMUSG00000029175', u'ENSMUSG00000033220', u'ENSMUSG00000004040', u'ENSMUSG00000005373', u'ENSMUSG00000014599', u'ENSMUSG00000026628', u'ENSMUSG00000022146', u'ENSMUSG00000002603', u'ENSMUSG00000037846']), symbols=u'Acer3 Adam17 Adrb2 Anp32b Atf3 Ccnd3 Cdk4 Cib1 Crip2 Csf1 Csf1r Gab2 Hck Hcls1 Hif1a Il6ra Itgav Kdr Lyn Mlxipl Myc Osmr Pla2g4a Pth1r Ptn Ptpn6 Rac2 Rela Rpa1 Rtkn2 Shmt2 Slc35f6 Stat3 Tgfb1 Tpd52 Wwtr1 Ybx1', symbol_set=set([u'Acer3', 'Slc35f6', u'Rac2', u'Il6ra', u'Ccnd3', u'Gab2', u'Itgav', u'Hcls1', u'Hck', u'Rela', u'Tgfb1', u'Tpd52', u'Rpa1', u'Csf1', u'Hif1a', u'Anp32b', u'Adam17', u'Ybx1', u'Atf3', u'Stat3', u'Wwtr1', u'Rtkn2', u'Csf1r', u'Adrb2', u'Osmr', u'Pla2g4a', u'Lyn', u'Crip2', u'Pth1r', u'Ptn', u'Ptpn6', u'Mlxipl', u'Cib1', u'Cdk4', u'Myc', u'Shmt2', u'Kdr']), geneids='ENSMUSG00000034165 ENSMUSG00000022831 ENSMUSG00000056220 ENSMUSG00000062960 ENSMUSG00000004508 ENSMUSG00000024927 ENSMUSG00000052593 ENSMUSG00000028639 ENSMUSG00000022346 ENSMUSG00000004266 ENSMUSG00000002603 ENSMUSG00000024621 ENSMUSG00000045730 ENSMUSG00000021109 ENSMUSG00000027506 ENSMUSG00000000751 ENSMUSG00000025403 ENSMUSG00000027087 ENSMUSG00000022146 ENSMUSG00000028333 ENSMUSG00000027947 ENSMUSG00000032492 ENSMUSG00000006356 ENSMUSG00000042228 ENSMUSG00000003283 ENSMUSG00000030538 ENSMUSG00000027803 ENSMUSG00000030760 ENSMUSG00000037846 ENSMUSG00000029838 ENSMUSG00000029175 ENSMUSG00000014599 ENSMUSG00000004040 ENSMUSG00000005373 ENSMUSG00000033220 ENSMUSG00000026628 ENSMUSG00000006728', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=88, D1='A', GO_name='positive regulation of cell proliferation'),
Nt(p_uncorrected=2.149389719025013e-08, study_count=14, study_n=794, namespace='biological_process', p_fdr_bh=2.5050310486883053e-05, study_items=set([u'ENSMUSG00000079227', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000027995', u'ENSMUSG00000021408', u'ENSMUSG00000030793', u'ENSMUSG00000047123', u'ENSMUSG00000031101', u'ENSMUSG00000038058', u'ENSMUSG00000031639', u'ENSMUSG00000058715', u'ENSMUSG00000030341', u'ENSMUSG00000067212', u'ENSMUSG00000006519']), NS='BP', pop_items=set([u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000031101', u'ENSMUSG00000030793', u'ENSMUSG00000031639', u'ENSMUSG00000058715', u'ENSMUSG00000056529', u'ENSMUSG00000006519', u'ENSMUSG00000041417', u'ENSMUSG00000032508', u'ENSMUSG00000066551', u'ENSMUSG00000047123', u'ENSMUSG00000016024', u'ENSMUSG00000037523', u'ENSMUSG00000035385', u'ENSMUSG00000074582', u'ENSMUSG00000028800', u'ENSMUSG00000019777', u'ENSMUSG00000026234', u'ENSMUSG00000041135', u'ENSMUSG00000067212', u'ENSMUSG00000039005', u'ENSMUSG00000028059', u'ENSMUSG00000000982', u'ENSMUSG00000039217', u'ENSMUSG00000021408', u'ENSMUSG00000027551', u'ENSMUSG00000030341', u'ENSMUSG00000022037', u'ENSMUSG00000024789', u'ENSMUSG00000042682', u'ENSMUSG00000022708', u'ENSMUSG00000051439', u'ENSMUSG00000027995', u'ENSMUSG00000027347', u'ENSMUSG00000001123', u'ENSMUSG00000038058', u'ENSMUSG00000018930', u'ENSMUSG00000079227', u'ENSMUSG00000032041']), pop_n=13836, p_sm_bonferroni=0.0003256540363294797, is_obsolete=False, GO='GO:0032760', name='positive regulation of tumor necrosis factor production', pop_count=40, alt_ids=[], level=7, depth=7, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000027995', u'ENSMUSG00000021408', u'ENSMUSG00000030793', u'ENSMUSG00000047123', u'ENSMUSG00000031101', u'ENSMUSG00000038058', u'ENSMUSG00000067212', u'ENSMUSG00000031639', u'ENSMUSG00000058715', u'ENSMUSG00000030341', u'ENSMUSG00000079227', u'ENSMUSG00000006519']), symbols=u'Card9 Ccr5 Cyba Fcer1g H2-T23 Nod1 Pycard Ripk1 Sash3 Ticam1 Tlr2 Tlr3 Tlr9 Tnfrsf1a', symbol_set=set([u'Ripk1', u'Fcer1g', u'Ticam1', 'H2-T23', u'Tnfrsf1a', u'Tlr2', u'Tlr3', u'Card9', u'Cyba', u'Nod1', u'Ccr5', u'Pycard', u'Tlr9', u'Sash3']), geneids='ENSMUSG00000079227 ENSMUSG00000045322 ENSMUSG00000026928 ENSMUSG00000027995 ENSMUSG00000021408 ENSMUSG00000030793 ENSMUSG00000030341 ENSMUSG00000038058 ENSMUSG00000067212 ENSMUSG00000031639 ENSMUSG00000058715 ENSMUSG00000047123 ENSMUSG00000031101 ENSMUSG00000006519', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=2, D1='A', GO_name='positive regulation of tumor necrosis factor production'),
Nt(p_uncorrected=0.00018831346875026884, study_count=3, study_n=794, namespace='biological_process', p_fdr_bh=0.04322935401568671, study_items=set([u'ENSMUSG00000015947', u'ENSMUSG00000022216', u'ENSMUSG00000079197']), NS='BP', pop_items=set([u'ENSMUSG00000015947', u'ENSMUSG00000022216', u'ENSMUSG00000079197']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0019884', name='antigen processing and presentation of exogenous antigen', pop_count=3, alt_ids=[], level=3, depth=3, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000015947', u'ENSMUSG00000022216', u'ENSMUSG00000079197']), symbols=u'Fcgr1 Psme1 Psme2', symbol_set=set([u'Psme2', u'Fcgr1', u'Psme1']), geneids='ENSMUSG00000015947 ENSMUSG00000022216 ENSMUSG00000079197', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=9, D1='L', GO_name='antigen processing and presentation of exogenous antigen'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0034097', name='', pop_count='', alt_ids='', level=4, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=59, D1='F', GO_name='response to cytokine'),
Nt(p_uncorrected=0.00021235432852051886, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.04731441810903502, study_items=set([u'ENSMUSG00000079547', u'ENSMUSG00000058715', u'ENSMUSG00000031838', u'ENSMUSG00000036594', u'ENSMUSG00000073421']), NS='BP', pop_items=set([u'ENSMUSG00000037649', u'ENSMUSG00000031838', u'ENSMUSG00000024610', u'ENSMUSG00000036594', u'ENSMUSG00000027164', u'ENSMUSG00000060586', u'ENSMUSG00000036908', u'ENSMUSG00000026656', u'ENSMUSG00000079547', u'ENSMUSG00000058715', u'ENSMUSG00000073421']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0019886', name='antigen processing and presentation of exogenous peptide antigen via MHC class II', pop_count=11, alt_ids=['GO:0042591', 'GO:0048005'], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000079547', u'ENSMUSG00000058715', u'ENSMUSG00000031838', u'ENSMUSG00000036594', u'ENSMUSG00000073421']), symbols=u'Fcer1g H2-Aa H2-Ab1 H2-DMb1 Ifi30', symbol_set=set(['H2-Ab1', 'H2-DMb1', 'H2-Aa', u'Fcer1g', u'Ifi30']), geneids='ENSMUSG00000079547 ENSMUSG00000058715 ENSMUSG00000031838 ENSMUSG00000036594 ENSMUSG00000073421', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='L', GO_name='antigen processing and presentation of exogenous peptide antigen via MHC class II'),
Nt(p_uncorrected=5.500703269831228e-09, study_count=21, study_n=794, namespace='biological_process', p_fdr_bh=8.334115524121294e-06, study_items=set([u'ENSMUSG00000024927', u'ENSMUSG00000028191', u'ENSMUSG00000038058', u'ENSMUSG00000045322', u'ENSMUSG00000000290', u'ENSMUSG00000002603', u'ENSMUSG00000026321', u'ENSMUSG00000021408', u'ENSMUSG00000000275', u'ENSMUSG00000030793', u'ENSMUSG00000047123', u'ENSMUSG00000079110', u'ENSMUSG00000026942', u'ENSMUSG00000021108', u'ENSMUSG00000031639', u'ENSMUSG00000030538', u'ENSMUSG00000037860', u'ENSMUSG00000032691', u'ENSMUSG00000047098', u'ENSMUSG00000027995', u'ENSMUSG00000039853']), NS='BP', pop_items=set([u'ENSMUSG00000031537', u'ENSMUSG00000035235', u'ENSMUSG00000025034', u'ENSMUSG00000045322', u'ENSMUSG00000074781', u'ENSMUSG00000024079', u'ENSMUSG00000068290', u'ENSMUSG00000030793', u'ENSMUSG00000031639', u'ENSMUSG00000052688', u'ENSMUSG00000026942', u'ENSMUSG00000021180', u'ENSMUSG00000032185', u'ENSMUSG00000023755', u'ENSMUSG00000021994', u'ENSMUSG00000018548', u'ENSMUSG00000047098', u'ENSMUSG00000046532', u'ENSMUSG00000027466', u'ENSMUSG00000024927', u'ENSMUSG00000037405', u'ENSMUSG00000004221', u'ENSMUSG00000032688', u'ENSMUSG00000032508', u'ENSMUSG00000024997', u'ENSMUSG00000029238', u'ENSMUSG00000002603', u'ENSMUSG00000029840', u'ENSMUSG00000000266', u'ENSMUSG00000029287', u'ENSMUSG00000000127', u'ENSMUSG00000047123', u'ENSMUSG00000079110', u'ENSMUSG00000057113', u'ENSMUSG00000027187', u'ENSMUSG00000026778', u'ENSMUSG00000039853', u'ENSMUSG00000021108', u'ENSMUSG00000022037', u'ENSMUSG00000021024', u'ENSMUSG00000037860', u'ENSMUSG00000029053', u'ENSMUSG00000041135', u'ENSMUSG00000060477', u'ENSMUSG00000039005', u'ENSMUSG00000031392', u'ENSMUSG00000028059', u'ENSMUSG00000028191', u'ENSMUSG00000051675', u'ENSMUSG00000028179', u'ENSMUSG00000030265', u'ENSMUSG00000033618', u'ENSMUSG00000021408', u'ENSMUSG00000033430', u'ENSMUSG00000032497', u'ENSMUSG00000022514', u'ENSMUSG00000047921', u'ENSMUSG00000030538', u'ENSMUSG00000002688', u'ENSMUSG00000022255', u'ENSMUSG00000061878', u'ENSMUSG00000025199', u'ENSMUSG00000041343', u'ENSMUSG00000041187', u'ENSMUSG00000026305', u'ENSMUSG00000078923', u'ENSMUSG00000034457', u'ENSMUSG00000026321', u'ENSMUSG00000000290', u'ENSMUSG00000000275', u'ENSMUSG00000027164', u'ENSMUSG00000032691', u'ENSMUSG00000024617', u'ENSMUSG00000026031', u'ENSMUSG00000041000', u'ENSMUSG00000038058', u'ENSMUSG00000037643', u'ENSMUSG00000026171', u'ENSMUSG00000025473', u'ENSMUSG00000052889', u'ENSMUSG00000027995', u'ENSMUSG00000032041', u'ENSMUSG00000038147']), pop_n=13836, p_sm_bonferroni=8.334115524121294e-05, is_obsolete=False, GO='GO:0051092', name='positive regulation of NF-kappaB transcription factor activity', pop_count=83, alt_ids=[], level=5, depth=12, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000028191', u'ENSMUSG00000021108', u'ENSMUSG00000045322', u'ENSMUSG00000021408', u'ENSMUSG00000030793', u'ENSMUSG00000026942', u'ENSMUSG00000031639', u'ENSMUSG00000030538', u'ENSMUSG00000032691', u'ENSMUSG00000047098', u'ENSMUSG00000039853', u'ENSMUSG00000024927', u'ENSMUSG00000000290', u'ENSMUSG00000002603', u'ENSMUSG00000026321', u'ENSMUSG00000000275', u'ENSMUSG00000047123', u'ENSMUSG00000079110', u'ENSMUSG00000038058', u'ENSMUSG00000037860', u'ENSMUSG00000027995']), symbols=u'Aim2 Bcl10 Capn3 Cib1 Itgb2 Nlrp3 Nod1 Prkch Pycard Rela Ripk1 Rnf31 Tgfb1 Ticam1 Tlr2 Tlr3 Tlr9 Tnfrsf11a Traf2 Trim14 Trim25', symbol_set=set([u'Nod1', u'Prkch', u'Traf2', u'Itgb2', u'Trim14', u'Nlrp3', u'Tgfb1', u'Trim25', u'Tlr2', u'Aim2', u'Ripk1', u'Tlr3', u'Cib1', u'Capn3', u'Tnfrsf11a', u'Pycard', u'Rela', u'Tlr9', u'Bcl10', u'Ticam1', u'Rnf31']), geneids='ENSMUSG00000024927 ENSMUSG00000028191 ENSMUSG00000038058 ENSMUSG00000045322 ENSMUSG00000000290 ENSMUSG00000002603 ENSMUSG00000026321 ENSMUSG00000021408 ENSMUSG00000000275 ENSMUSG00000030793 ENSMUSG00000032691 ENSMUSG00000079110 ENSMUSG00000026942 ENSMUSG00000021108 ENSMUSG00000031639 ENSMUSG00000030538 ENSMUSG00000037860 ENSMUSG00000047123 ENSMUSG00000047098 ENSMUSG00000027995 ENSMUSG00000039853', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=1, D1='A', GO_name='positive regulation of NF-kappaB transcription factor activity'),
Nt(p_uncorrected=1.2060839744647535e-10, study_count=47, study_n=794, namespace='biological_process', p_fdr_bh=5.120588891920086e-07, study_items=set([u'ENSMUSG00000045322', u'ENSMUSG00000031103', u'ENSMUSG00000026928', u'ENSMUSG00000035279', u'ENSMUSG00000030793', u'ENSMUSG00000070390', u'ENSMUSG00000030966', u'ENSMUSG00000055172', u'ENSMUSG00000031639', u'ENSMUSG00000009585', u'ENSMUSG00000058715', u'ENSMUSG00000047123', u'ENSMUSG00000006519', u'ENSMUSG00000024927', u'ENSMUSG00000043496', u'ENSMUSG00000029826', u'ENSMUSG00000024621', u'ENSMUSG00000031805', u'ENSMUSG00000015947', u'ENSMUSG00000039853', u'ENSMUSG00000025225', u'ENSMUSG00000071203', u'ENSMUSG00000037860', u'ENSMUSG00000036905', u'ENSMUSG00000032312', u'ENSMUSG00000020707', u'ENSMUSG00000072115', u'ENSMUSG00000024349', u'ENSMUSG00000003283', u'ENSMUSG00000033538', u'ENSMUSG00000029217', u'ENSMUSG00000042228', u'ENSMUSG00000036896', u'ENSMUSG00000025492', u'ENSMUSG00000060802', u'ENSMUSG00000029798', u'ENSMUSG00000014599', u'ENSMUSG00000056612', u'ENSMUSG00000027639', u'ENSMUSG00000000275', u'ENSMUSG00000043279', u'ENSMUSG00000032690', u'ENSMUSG00000032691', u'ENSMUSG00000024457', u'ENSMUSG00000038058', u'ENSMUSG00000021423', u'ENSMUSG00000027995']), NS='BP', pop_items=set([u'ENSMUSG00000028099', u'ENSMUSG00000035834', u'ENSMUSG00000045322', u'ENSMUSG00000028874', u'ENSMUSG00000031103', u'ENSMUSG00000021703', u'ENSMUSG00000024079', u'ENSMUSG00000074151', u'ENSMUSG00000016481', u'ENSMUSG00000055172', u'ENSMUSG00000036887', u'ENSMUSG00000009585', u'ENSMUSG00000020455', u'ENSMUSG00000047123', u'ENSMUSG00000022476', u'ENSMUSG00000024371', u'ENSMUSG00000042228', u'ENSMUSG00000000266', u'ENSMUSG00000017707', u'ENSMUSG00000071369', u'ENSMUSG00000026399', u'ENSMUSG00000037523', u'ENSMUSG00000038628', u'ENSMUSG00000020115', u'ENSMUSG00000076617', u'ENSMUSG00000000776', u'ENSMUSG00000019843', u'ENSMUSG00000035235', u'ENSMUSG00000015217', u'ENSMUSG00000028530', u'ENSMUSG00000039236', u'ENSMUSG00000036908', u'ENSMUSG00000024164', u'ENSMUSG00000026842', u'ENSMUSG00000020275', u'ENSMUSG00000024045', u'ENSMUSG00000015340', u'ENSMUSG00000075705', u'ENSMUSG00000025280', u'ENSMUSG00000022791', u'ENSMUSG00000005566', u'ENSMUSG00000026596', u'ENSMUSG00000029605', u'ENSMUSG00000026896', u'ENSMUSG00000025199', u'ENSMUSG00000014599', u'ENSMUSG00000022607', u'ENSMUSG00000030966', u'ENSMUSG00000032312', u'ENSMUSG00000051439', u'ENSMUSG00000038058', u'ENSMUSG00000025512', u'ENSMUSG00000050199', u'ENSMUSG00000026154', u'ENSMUSG00000001366', u'ENSMUSG00000000275', u'ENSMUSG00000027951', u'ENSMUSG00000021326', u'ENSMUSG00000070390', u'ENSMUSG00000036986', u'ENSMUSG00000025139', u'ENSMUSG00000004707', u'ENSMUSG00000025034', u'ENSMUSG00000026883', u'ENSMUSG00000058715', u'ENSMUSG00000032691', u'ENSMUSG00000018446', u'ENSMUSG00000006519', u'ENSMUSG00000027995', u'ENSMUSG00000028885', u'ENSMUSG00000029826', u'ENSMUSG00000027646', u'ENSMUSG00000003184', u'ENSMUSG00000031805', u'ENSMUSG00000016024', u'ENSMUSG00000054072', u'ENSMUSG00000051675', u'ENSMUSG00000037860', u'ENSMUSG00000036905', u'ENSMUSG00000004933', u'ENSMUSG00000031392', u'ENSMUSG00000060591', u'ENSMUSG00000055204', u'ENSMUSG00000041000', u'ENSMUSG00000045932', u'ENSMUSG00000072115', u'ENSMUSG00000033777', u'ENSMUSG00000059883', u'ENSMUSG00000027598', u'ENSMUSG00000003283', u'ENSMUSG00000033124', u'ENSMUSG00000044583', u'ENSMUSG00000002688', u'ENSMUSG00000039853', u'ENSMUSG00000078942', u'ENSMUSG00000078945', u'ENSMUSG00000027639', u'ENSMUSG00000033307', u'ENSMUSG00000034889', u'ENSMUSG00000000787', u'ENSMUSG00000034453', u'ENSMUSG00000020641', u'ENSMUSG00000024457', u'ENSMUSG00000023992', u'ENSMUSG00000025532', u'ENSMUSG00000000386', u'ENSMUSG00000052384', u'ENSMUSG00000070034', u'ENSMUSG00000027427', u'ENSMUSG00000026928', u'ENSMUSG00000035279', u'ENSMUSG00000030793', u'ENSMUSG00000021457', u'ENSMUSG00000074896', u'ENSMUSG00000024948', u'ENSMUSG00000031639', u'ENSMUSG00000020823', u'ENSMUSG00000028041', u'ENSMUSG00000025498', u'ENSMUSG00000032508', u'ENSMUSG00000002602', u'ENSMUSG00000053647', u'ENSMUSG00000053158', u'ENSMUSG00000024621', u'ENSMUSG00000066232', u'ENSMUSG00000036896', u'ENSMUSG00000025225', u'ENSMUSG00000071203', u'ENSMUSG00000030880', u'ENSMUSG00000032175', u'ENSMUSG00000041135', u'ENSMUSG00000014932', u'ENSMUSG00000021624', u'ENSMUSG00000020707', u'ENSMUSG00000017830', u'ENSMUSG00000046879', u'ENSMUSG00000024349', u'ENSMUSG00000033454', u'ENSMUSG00000022514', u'ENSMUSG00000022887', u'ENSMUSG00000023973', u'ENSMUSG00000043496', u'ENSMUSG00000057982', u'ENSMUSG00000036712', u'ENSMUSG00000025492', u'ENSMUSG00000032109', u'ENSMUSG00000060802', u'ENSMUSG00000029798', u'ENSMUSG00000032344', u'ENSMUSG00000059456', u'ENSMUSG00000026117', u'ENSMUSG00000040296', u'ENSMUSG00000032690', u'ENSMUSG00000056851', u'ENSMUSG00000038160', u'ENSMUSG00000022043', u'ENSMUSG00000034317', u'ENSMUSG00000001128', u'ENSMUSG00000029771', u'ENSMUSG00000013707', u'ENSMUSG00000032661', u'ENSMUSG00000038521', u'ENSMUSG00000020399', u'ENSMUSG00000031750', u'ENSMUSG00000046718', u'ENSMUSG00000024927', u'ENSMUSG00000031537', u'ENSMUSG00000024483', u'ENSMUSG00000050335', u'ENSMUSG00000032688', u'ENSMUSG00000026471', u'ENSMUSG00000032905', u'ENSMUSG00000038517', u'ENSMUSG00000023341', u'ENSMUSG00000000127', u'ENSMUSG00000023224', u'ENSMUSG00000015947', u'ENSMUSG00000027514', u'ENSMUSG00000002983', u'ENSMUSG00000039005', u'ENSMUSG00000041827', u'ENSMUSG00000028059', u'ENSMUSG00000054717', u'ENSMUSG00000018899', u'ENSMUSG00000021277', u'ENSMUSG00000024789', u'ENSMUSG00000033538', u'ENSMUSG00000028291', u'ENSMUSG00000029217', u'ENSMUSG00000022575', u'ENSMUSG00000066839', u'ENSMUSG00000029561', u'ENSMUSG00000029915', u'ENSMUSG00000056612', u'ENSMUSG00000044827', u'ENSMUSG00000028163', u'ENSMUSG00000043279', u'ENSMUSG00000026365', u'ENSMUSG00000032322', u'ENSMUSG00000034459', u'ENSMUSG00000039936', u'ENSMUSG00000021423', u'ENSMUSG00000038147', u'ENSMUSG00000050132', u'ENSMUSG00000032041', u'ENSMUSG00000046034']), pop_n=13836, p_sm_bonferroni=1.8273378297115479e-06, is_obsolete=False, GO='GO:0045087', name='innate immune response', pop_count=206, alt_ids=['GO:0002226'], level=3, depth=4, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000045322', u'ENSMUSG00000031103', u'ENSMUSG00000026928', u'ENSMUSG00000035279', u'ENSMUSG00000030793', u'ENSMUSG00000043279', u'ENSMUSG00000000275', u'ENSMUSG00000055172', u'ENSMUSG00000031639', u'ENSMUSG00000009585', u'ENSMUSG00000058715', u'ENSMUSG00000031805', u'ENSMUSG00000006519', u'ENSMUSG00000024927', u'ENSMUSG00000043496', u'ENSMUSG00000029826', u'ENSMUSG00000024621', u'ENSMUSG00000047123', u'ENSMUSG00000015947', u'ENSMUSG00000036896', u'ENSMUSG00000025225', u'ENSMUSG00000071203', u'ENSMUSG00000037860', u'ENSMUSG00000036905', u'ENSMUSG00000032312', u'ENSMUSG00000020707', u'ENSMUSG00000072115', u'ENSMUSG00000025492', u'ENSMUSG00000003283', u'ENSMUSG00000033538', u'ENSMUSG00000029217', u'ENSMUSG00000042228', u'ENSMUSG00000039853', u'ENSMUSG00000024349', u'ENSMUSG00000060802', u'ENSMUSG00000029798', u'ENSMUSG00000014599', u'ENSMUSG00000056612', u'ENSMUSG00000027639', u'ENSMUSG00000030966', u'ENSMUSG00000070390', u'ENSMUSG00000032690', u'ENSMUSG00000032691', u'ENSMUSG00000024457', u'ENSMUSG00000038058', u'ENSMUSG00000021423', u'ENSMUSG00000027995']), symbols=u'Aim2 Ang Apobec3 B2m C1qb C1qc C1ra Card9 Casp4 Csf1 Csf1r Csk Cyba Elf4 Fcer1g Fcgr1 Hck Herc6 Ifitm3 Jak3 Ly86 Lyn Naip5 Nfkb2 Nlrp1b Nlrp3 Nod1 Oas2 Ppp1r14b Pycard Rela Rnf135 Samhd1 Ssc5d Tec Ticam1 Tlr2 Tlr3 Tlr9 Tmem173 Tril Trim14 Trim21 Trim25 Trim26 Trim56 Zc3hav1', symbol_set=set([u'Ifitm3', u'Casp4', u'Tec', u'Csf1', u'Csk', u'Naip5', u'Aim2', u'Apobec3', u'Card9', u'Hck', u'Pycard', u'Nfkb2', u'Rela', u'Ticam1', u'Trim14', 'Ssc5d', u'C1qc', u'C1qb', u'B2m', u'Oas2', u'Herc6', u'Trim56', u'Ppp1r14b', u'Tmem173', u'Zc3hav1', u'Nlrp3', u'Ly86', u'Csf1r', u'Elf4', u'Tril', u'Fcer1g', u'Ang', u'Samhd1', u'Nlrp1b', u'Trim25', u'Trim26', u'C1ra', u'Trim21', u'Tlr2', u'Tlr3', u'Cyba', u'Nod1', u'Jak3', u'Lyn', u'Tlr9', u'Fcgr1', u'Rnf135']), geneids='ENSMUSG00000045322 ENSMUSG00000031103 ENSMUSG00000026928 ENSMUSG00000035279 ENSMUSG00000030793 ENSMUSG00000070390 ENSMUSG00000030966 ENSMUSG00000055172 ENSMUSG00000031639 ENSMUSG00000009585 ENSMUSG00000058715 ENSMUSG00000047123 ENSMUSG00000006519 ENSMUSG00000024927 ENSMUSG00000043496 ENSMUSG00000029826 ENSMUSG00000024621 ENSMUSG00000031805 ENSMUSG00000015947 ENSMUSG00000039853 ENSMUSG00000025225 ENSMUSG00000071203 ENSMUSG00000037860 ENSMUSG00000036905 ENSMUSG00000032312 ENSMUSG00000020707 ENSMUSG00000072115 ENSMUSG00000025492 ENSMUSG00000003283 ENSMUSG00000033538 ENSMUSG00000029217 ENSMUSG00000042228 ENSMUSG00000036896 ENSMUSG00000024349 ENSMUSG00000060802 ENSMUSG00000027639 ENSMUSG00000014599 ENSMUSG00000027995 ENSMUSG00000029798 ENSMUSG00000000275 ENSMUSG00000043279 ENSMUSG00000032690 ENSMUSG00000032691 ENSMUSG00000024457 ENSMUSG00000038058 ENSMUSG00000021423 ENSMUSG00000056612', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=26, D1='FL', GO_name='innate immune response'),
Nt(p_uncorrected=3.5146529337187653e-06, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.0017177582773797745, study_items=set([u'ENSMUSG00000032691', u'ENSMUSG00000025888', u'ENSMUSG00000070390', u'ENSMUSG00000030793', u'ENSMUSG00000062210']), NS='BP', pop_items=set([u'ENSMUSG00000025888', u'ENSMUSG00000026471', u'ENSMUSG00000070390', u'ENSMUSG00000030793', u'ENSMUSG00000032691', u'ENSMUSG00000062210']), pop_n=13836, p_sm_bonferroni=0.05325050659877301, is_obsolete=False, GO='GO:0032611', name='interleukin-1 beta production', pop_count=6, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000062210', u'ENSMUSG00000025888', u'ENSMUSG00000070390', u'ENSMUSG00000030793', u'ENSMUSG00000032691']), symbols=u'Casp1 Nlrp1b Nlrp3 Pycard Tnfaip8', symbol_set=set([u'Pycard', u'Nlrp1b', u'Tnfaip8', u'Nlrp3', u'Casp1']), geneids='ENSMUSG00000062210 ENSMUSG00000025888 ENSMUSG00000070390 ENSMUSG00000030793 ENSMUSG00000032691', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='CJ', GO_name='interleukin-1 beta production'),
Nt(p_uncorrected=6.380037801368506e-05, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.01895371622128122, study_items=set([u'ENSMUSG00000037860', u'ENSMUSG00000025888', u'ENSMUSG00000033538', u'ENSMUSG00000070390', u'ENSMUSG00000071203']), NS='BP', pop_items=set([u'ENSMUSG00000078942', u'ENSMUSG00000025888', u'ENSMUSG00000078945', u'ENSMUSG00000070390', u'ENSMUSG00000033538', u'ENSMUSG00000071203', u'ENSMUSG00000010911', u'ENSMUSG00000037860', u'ENSMUSG00000022575']), pop_n=13836, p_sm_bonferroni=0.9666395272853423, is_obsolete=False, GO='GO:0070269', name='pyroptosis', pop_count=9, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000037860', u'ENSMUSG00000025888', u'ENSMUSG00000033538', u'ENSMUSG00000070390', u'ENSMUSG00000071203']), symbols=u'Aim2 Casp1 Casp4 Naip5 Nlrp1b', symbol_set=set([u'Naip5', u'Casp4', u'Casp1', u'Nlrp1b', u'Aim2']), geneids='ENSMUSG00000037860 ENSMUSG00000025888 ENSMUSG00000033538 ENSMUSG00000070390 ENSMUSG00000071203', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='BC', GO_name='pyroptosis'),
Nt(p_uncorrected=4.245077894981495e-05, study_count=6, study_n=794, namespace='biological_process', p_fdr_bh=0.014617539815196508, study_items=set([u'ENSMUSG00000025492', u'ENSMUSG00000069874', u'ENSMUSG00000030966', u'ENSMUSG00000036594', u'ENSMUSG00000078922', u'ENSMUSG00000018920']), NS='BP', pop_items=set([u'ENSMUSG00000025492', u'ENSMUSG00000004069', u'ENSMUSG00000046718', u'ENSMUSG00000069874', u'ENSMUSG00000060591', u'ENSMUSG00000030966', u'ENSMUSG00000025889', u'ENSMUSG00000036594', u'ENSMUSG00000078922', u'ENSMUSG00000026177', u'ENSMUSG00000018920', u'ENSMUSG00000038884', u'ENSMUSG00000060586']), pop_n=13836, p_sm_bonferroni=0.6431717518686463, is_obsolete=False, GO='GO:0034341', name='response to interferon-gamma', pop_count=13, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000078922', u'ENSMUSG00000025492', u'ENSMUSG00000018920', u'ENSMUSG00000069874', u'ENSMUSG00000030966', u'ENSMUSG00000036594']), symbols=u'Cxcl16 H2-Aa Ifitm3 Irgm2 Tgtp1 Trim21', symbol_set=set([u'Ifitm3', u'Tgtp1', 'H2-Aa', u'Trim21', u'Irgm2', u'Cxcl16']), geneids='ENSMUSG00000025492 ENSMUSG00000069874 ENSMUSG00000030966 ENSMUSG00000036594 ENSMUSG00000078922 ENSMUSG00000018920', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=1, D1='F', GO_name='response to interferon-gamma'),
Nt(p_uncorrected=6.718708756207653e-10, study_count=14, study_n=794, namespace='biological_process', p_fdr_bh=1.6965859394217025e-06, study_items=set([u'ENSMUSG00000024927', u'ENSMUSG00000015396', u'ENSMUSG00000058163', u'ENSMUSG00000002603', u'ENSMUSG00000069874', u'ENSMUSG00000035279', u'ENSMUSG00000030341', u'ENSMUSG00000078920', u'ENSMUSG00000038058', u'ENSMUSG00000031639', u'ENSMUSG00000090942', u'ENSMUSG00000073555', u'ENSMUSG00000079227', u'ENSMUSG00000069893']), NS='BP', pop_items=set([u'ENSMUSG00000029417', u'ENSMUSG00000058163', u'ENSMUSG00000026656', u'ENSMUSG00000035279', u'ENSMUSG00000037321', u'ENSMUSG00000078920', u'ENSMUSG00000078921', u'ENSMUSG00000031639', u'ENSMUSG00000073555', u'ENSMUSG00000024927', u'ENSMUSG00000015396', u'ENSMUSG00000022556', u'ENSMUSG00000061353', u'ENSMUSG00000002603', u'ENSMUSG00000023078', u'ENSMUSG00000027447', u'ENSMUSG00000068606', u'ENSMUSG00000069874', u'ENSMUSG00000046879', u'ENSMUSG00000030120', u'ENSMUSG00000030341', u'ENSMUSG00000078853', u'ENSMUSG00000034855', u'ENSMUSG00000029371', u'ENSMUSG00000069893', u'ENSMUSG00000024610', u'ENSMUSG00000044827', u'ENSMUSG00000090942', u'ENSMUSG00000018819', u'ENSMUSG00000038058', u'ENSMUSG00000079227', u'ENSMUSG00000024308']), pop_n=13836, p_sm_bonferroni=1.0179515636530216e-05, is_obsolete=False, GO='GO:0006952', name='defense response', pop_count=32, alt_ids=['GO:0002217', 'GO:0042829'], level=3, depth=3, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000024927', u'ENSMUSG00000015396', u'ENSMUSG00000058163', u'ENSMUSG00000002603', u'ENSMUSG00000069874', u'ENSMUSG00000035279', u'ENSMUSG00000030341', u'ENSMUSG00000078920', u'ENSMUSG00000038058', u'ENSMUSG00000031639', u'ENSMUSG00000090942', u'ENSMUSG00000069893', u'ENSMUSG00000079227', u'ENSMUSG00000073555']), symbols=u'9930111J21Rik1 Ccr5 Cd83 F830016B08Rik Gm4951 Gm5431 Ifi47 Irgm2 Nod1 Rela Ssc5d Tgfb1 Tlr3 Tnfrsf1a', symbol_set=set([u'Tgfb1', u'9930111J21Rik1', u'F830016B08Rik', 'Ssc5d', u'Cd83', u'Tnfrsf1a', u'Tlr3', u'Nod1', u'Ccr5', u'Ifi47', u'Gm5431', u'Rela', u'Irgm2', u'Gm4951']), geneids='ENSMUSG00000024927 ENSMUSG00000015396 ENSMUSG00000058163 ENSMUSG00000002603 ENSMUSG00000069874 ENSMUSG00000035279 ENSMUSG00000030341 ENSMUSG00000078920 ENSMUSG00000038058 ENSMUSG00000031639 ENSMUSG00000090942 ENSMUSG00000073555 ENSMUSG00000079227 ENSMUSG00000069893', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=93, D1='F', GO_name='defense response'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0006950', name='', pop_count='', alt_ids='', level=2, depth=2, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=491, D1='F', GO_name='response to stress'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0098542', name='', pop_count='', alt_ids='', level=4, depth=5, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=37, D1='F', GO_name='defense response to other organism'),
Nt(p_uncorrected=5.139411452870194e-11, study_count=38, study_n=794, namespace='biological_process', p_fdr_bh=3.893361146121815e-07, study_items=set([u'ENSMUSG00000045322', u'ENSMUSG00000030793', u'ENSMUSG00000070390', u'ENSMUSG00000063415', u'ENSMUSG00000016528', u'ENSMUSG00000031639', u'ENSMUSG00000062585', u'ENSMUSG00000006519', u'ENSMUSG00000024927', u'ENSMUSG00000047557', u'ENSMUSG00000002603', u'ENSMUSG00000043496', u'ENSMUSG00000042286', u'ENSMUSG00000024621', u'ENSMUSG00000047250', u'ENSMUSG00000047123', u'ENSMUSG00000025083', u'ENSMUSG00000025225', u'ENSMUSG00000037731', u'ENSMUSG00000037860', u'ENSMUSG00000027087', u'ENSMUSG00000079227', u'ENSMUSG00000029468', u'ENSMUSG00000071203', u'ENSMUSG00000030341', u'ENSMUSG00000003283', u'ENSMUSG00000033538', u'ENSMUSG00000016495', u'ENSMUSG00000042228', u'ENSMUSG00000052821', u'ENSMUSG00000014599', u'ENSMUSG00000022040', u'ENSMUSG00000009281', u'ENSMUSG00000032691', u'ENSMUSG00000015950', u'ENSMUSG00000021423', u'ENSMUSG00000027995', u'ENSMUSG00000024778']), NS='BP', pop_items=set([u'ENSMUSG00000029199', u'ENSMUSG00000045322', u'ENSMUSG00000028029', u'ENSMUSG00000039145', u'ENSMUSG00000028108', u'ENSMUSG00000016528', u'ENSMUSG00000026883', u'ENSMUSG00000031778', u'ENSMUSG00000029053', u'ENSMUSG00000022475', u'ENSMUSG00000008845', u'ENSMUSG00000040552', u'ENSMUSG00000029371', u'ENSMUSG00000023078', u'ENSMUSG00000075316', u'ENSMUSG00000004698', u'ENSMUSG00000026778', u'ENSMUSG00000020592', u'ENSMUSG00000060477', u'ENSMUSG00000008855', u'ENSMUSG00000024164', u'ENSMUSG00000020275', u'ENSMUSG00000038128', u'ENSMUSG00000015340', u'ENSMUSG00000039936', u'ENSMUSG00000027399', u'ENSMUSG00000042228', u'ENSMUSG00000006445', u'ENSMUSG00000025199', u'ENSMUSG00000000982', u'ENSMUSG00000052821', u'ENSMUSG00000040152', u'ENSMUSG00000014599', u'ENSMUSG00000061762', u'ENSMUSG00000007836', u'ENSMUSG00000066551', u'ENSMUSG00000025512', u'ENSMUSG00000054008', u'ENSMUSG00000024778', u'ENSMUSG00000019850', u'ENSMUSG00000021180', u'ENSMUSG00000032487', u'ENSMUSG00000021680', u'ENSMUSG00000031425', u'ENSMUSG00000025139', u'ENSMUSG00000015839', u'ENSMUSG00000062585', u'ENSMUSG00000056529', u'ENSMUSG00000005672', u'ENSMUSG00000006519', u'ENSMUSG00000028885', u'ENSMUSG00000054509', u'ENSMUSG00000027312', u'ENSMUSG00000047123', u'ENSMUSG00000035352', u'ENSMUSG00000037860', u'ENSMUSG00000035356', u'ENSMUSG00000027087', u'ENSMUSG00000039217', u'ENSMUSG00000033777', u'ENSMUSG00000020400', u'ENSMUSG00000064246', u'ENSMUSG00000027221', u'ENSMUSG00000009281', u'ENSMUSG00000044583', u'ENSMUSG00000023915', u'ENSMUSG00000034855', u'ENSMUSG00000002688', u'ENSMUSG00000061878', u'ENSMUSG00000023913', u'ENSMUSG00000078942', u'ENSMUSG00000032508', u'ENSMUSG00000033307', u'ENSMUSG00000053004', u'ENSMUSG00000003283', u'ENSMUSG00000018476', u'ENSMUSG00000037872', u'ENSMUSG00000079227', u'ENSMUSG00000052384', u'ENSMUSG00000029417', u'ENSMUSG00000042286', u'ENSMUSG00000030793', u'ENSMUSG00000028577', u'ENSMUSG00000019122', u'ENSMUSG00000031639', u'ENSMUSG00000033467', u'ENSMUSG00000029026', u'ENSMUSG00000047557', u'ENSMUSG00000002602', u'ENSMUSG00000002603', u'ENSMUSG00000053647', u'ENSMUSG00000024621', u'ENSMUSG00000047250', u'ENSMUSG00000023031', u'ENSMUSG00000018927', u'ENSMUSG00000025225', u'ENSMUSG00000071203', u'ENSMUSG00000001729', u'ENSMUSG00000041135', u'ENSMUSG00000021624', u'ENSMUSG00000008318', u'ENSMUSG00000006344', u'ENSMUSG00000055633', u'ENSMUSG00000022074', u'ENSMUSG00000067586', u'ENSMUSG00000022514', u'ENSMUSG00000033350', u'ENSMUSG00000078945', u'ENSMUSG00000031536', u'ENSMUSG00000059866', u'ENSMUSG00000051439', u'ENSMUSG00000022040', u'ENSMUSG00000026117', u'ENSMUSG00000070390', u'ENSMUSG00000032691', u'ENSMUSG00000028964', u'ENSMUSG00000015950', u'ENSMUSG00000018932', u'ENSMUSG00000018930', u'ENSMUSG00000032911', u'ENSMUSG00000030339', u'ENSMUSG00000027684', u'ENSMUSG00000020573', u'ENSMUSG00000024952', u'ENSMUSG00000031750', u'ENSMUSG00000022508', u'ENSMUSG00000024793', u'ENSMUSG00000063415', u'ENSMUSG00000024927', u'ENSMUSG00000010051', u'ENSMUSG00000010054', u'ENSMUSG00000043496', u'ENSMUSG00000031681', u'ENSMUSG00000025083', u'ENSMUSG00000048376', u'ENSMUSG00000040451', u'ENSMUSG00000002983', u'ENSMUSG00000027358', u'ENSMUSG00000039004', u'ENSMUSG00000039005', u'ENSMUSG00000038264', u'ENSMUSG00000054717', u'ENSMUSG00000029468', u'ENSMUSG00000031537', u'ENSMUSG00000030341', u'ENSMUSG00000024789', u'ENSMUSG00000033538', u'ENSMUSG00000016495', u'ENSMUSG00000037731', u'ENSMUSG00000024781', u'ENSMUSG00000022575', u'ENSMUSG00000033885', u'ENSMUSG00000052430', u'ENSMUSG00000035385', u'ENSMUSG00000025473', u'ENSMUSG00000027995', u'ENSMUSG00000044827', u'ENSMUSG00000020399', u'ENSMUSG00000027858', u'ENSMUSG00000026177', u'ENSMUSG00000032322', u'ENSMUSG00000021936', u'ENSMUSG00000021423', u'ENSMUSG00000032041', u'ENSMUSG00000028599']), pop_n=13836, p_sm_bonferroni=7.786722292243632e-07, is_obsolete=False, GO='GO:0006954', name='inflammatory response', pop_count=165, alt_ids=[], level=4, depth=4, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000045322', u'ENSMUSG00000030793', u'ENSMUSG00000063415', u'ENSMUSG00000016528', u'ENSMUSG00000031639', u'ENSMUSG00000062585', u'ENSMUSG00000006519', u'ENSMUSG00000024927', u'ENSMUSG00000027995', u'ENSMUSG00000047557', u'ENSMUSG00000002603', u'ENSMUSG00000043496', u'ENSMUSG00000042286', u'ENSMUSG00000024621', u'ENSMUSG00000047250', u'ENSMUSG00000047123', u'ENSMUSG00000025083', u'ENSMUSG00000025225', u'ENSMUSG00000037731', u'ENSMUSG00000037860', u'ENSMUSG00000027087', u'ENSMUSG00000029468', u'ENSMUSG00000071203', u'ENSMUSG00000030341', u'ENSMUSG00000003283', u'ENSMUSG00000033538', u'ENSMUSG00000016495', u'ENSMUSG00000009281', u'ENSMUSG00000042228', u'ENSMUSG00000052821', u'ENSMUSG00000014599', u'ENSMUSG00000022040', u'ENSMUSG00000070390', u'ENSMUSG00000032691', u'ENSMUSG00000015950', u'ENSMUSG00000021423', u'ENSMUSG00000079227', u'ENSMUSG00000024778']), symbols=u'Afap1l2 Aim2 Casp4 Ccr5 Cnr2 Csf1 Csf1r Cyba Cyp26b1 Cysltr1 Ephx2 Fas Hck Itgav Lxn Ly86 Lyn Mapkapk2 Naip5 Ncf1 Nfkb2 Nlrp1b Nlrp3 P2rx7 Plgrkt Ptgs1 Pycard Rarres2 Rela Stab1 Tgfb1 Themis2 Ticam1 Tlr2 Tlr3 Tlr9 Tnfrsf1a Tril', symbol_set=set([u'Casp4', u'Naip5', 'Plgrkt', u'Aim2', 'Themis2', u'Hck', u'Pycard', u'Rela', u'Mapkapk2', u'P2rx7', u'Tgfb1', u'Nfkb2', u'Stab1', u'Nlrp3', u'Tnfrsf1a', u'Fas', u'Csf1', u'Itgav', u'Lxn', u'Cysltr1', u'Ncf1', u'Afap1l2', u'Ticam1', u'Rarres2', u'Csf1r', u'Ephx2', u'Cyp26b1', u'Ccr5', u'Tril', u'Ptgs1', u'Cnr2', u'Nlrp1b', u'Tlr2', u'Tlr3', u'Cyba', u'Lyn', u'Tlr9', u'Ly86']), geneids='ENSMUSG00000045322 ENSMUSG00000030793 ENSMUSG00000070390 ENSMUSG00000063415 ENSMUSG00000016528 ENSMUSG00000031639 ENSMUSG00000062585 ENSMUSG00000006519 ENSMUSG00000024927 ENSMUSG00000047557 ENSMUSG00000002603 ENSMUSG00000043496 ENSMUSG00000042286 ENSMUSG00000024621 ENSMUSG00000047250 ENSMUSG00000047123 ENSMUSG00000025083 ENSMUSG00000025225 ENSMUSG00000037731 ENSMUSG00000037860 ENSMUSG00000027087 ENSMUSG00000079227 ENSMUSG00000029468 ENSMUSG00000071203 ENSMUSG00000030341 ENSMUSG00000009281 ENSMUSG00000033538 ENSMUSG00000016495 ENSMUSG00000042228 ENSMUSG00000052821 ENSMUSG00000014599 ENSMUSG00000022040 ENSMUSG00000003283 ENSMUSG00000032691 ENSMUSG00000015950 ENSMUSG00000021423 ENSMUSG00000027995 ENSMUSG00000024778', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=25, D1='F', GO_name='inflammatory response'),
Nt(p_uncorrected=8.913005151044472e-08, study_count=20, study_n=794, namespace='biological_process', p_fdr_bh=9.002729402898319e-05, study_items=set([u'ENSMUSG00000079362', u'ENSMUSG00000073411', u'ENSMUSG00000073421', u'ENSMUSG00000034116', u'ENSMUSG00000045322', u'ENSMUSG00000061132', u'ENSMUSG00000026321', u'ENSMUSG00000036594', u'ENSMUSG00000032690', u'ENSMUSG00000030341', u'ENSMUSG00000061232', u'ENSMUSG00000020941', u'ENSMUSG00000060802', u'ENSMUSG00000027995', u'ENSMUSG00000079547', u'ENSMUSG00000041515', u'ENSMUSG00000022148', u'ENSMUSG00000079227', u'ENSMUSG00000024778', u'ENSMUSG00000039304']), NS='BP', pop_items=set([u'ENSMUSG00000045322', u'ENSMUSG00000026656', u'ENSMUSG00000032661', u'ENSMUSG00000059327', u'ENSMUSG00000060586', u'ENSMUSG00000031778', u'ENSMUSG00000002015', u'ENSMUSG00000061353', u'ENSMUSG00000029371', u'ENSMUSG00000023078', u'ENSMUSG00000021796', u'ENSMUSG00000022074', u'ENSMUSG00000036103', u'ENSMUSG00000079362', u'ENSMUSG00000006014', u'ENSMUSG00000027399', u'ENSMUSG00000029605', u'ENSMUSG00000000982', u'ENSMUSG00000037649', u'ENSMUSG00000045827', u'ENSMUSG00000032251', u'ENSMUSG00000029287', u'ENSMUSG00000020941', u'ENSMUSG00000024778', u'ENSMUSG00000031165', u'ENSMUSG00000022425', u'ENSMUSG00000061132', u'ENSMUSG00000032402', u'ENSMUSG00000036867', u'ENSMUSG00000035352', u'ENSMUSG00000061232', u'ENSMUSG00000034116', u'ENSMUSG00000039217', u'ENSMUSG00000044583', u'ENSMUSG00000034855', u'ENSMUSG00000022637', u'ENSMUSG00000031706', u'ENSMUSG00000037370', u'ENSMUSG00000032369', u'ENSMUSG00000001016', u'ENSMUSG00000017344', u'ENSMUSG00000024610', u'ENSMUSG00000026321', u'ENSMUSG00000034987', u'ENSMUSG00000021508', u'ENSMUSG00000022148', u'ENSMUSG00000079227', u'ENSMUSG00000052384', u'ENSMUSG00000029417', u'ENSMUSG00000056216', u'ENSMUSG00000019122', u'ENSMUSG00000002699', u'ENSMUSG00000073421', u'ENSMUSG00000032508', u'ENSMUSG00000018927', u'ENSMUSG00000079547', u'ENSMUSG00000008318', u'ENSMUSG00000029561', u'ENSMUSG00000056749', u'ENSMUSG00000036469', u'ENSMUSG00000033510', u'ENSMUSG00000028776', u'ENSMUSG00000060802', u'ENSMUSG00000026117', u'ENSMUSG00000032690', u'ENSMUSG00000022468', u'ENSMUSG00000039304', u'ENSMUSG00000018930', u'ENSMUSG00000030339', u'ENSMUSG00000006342', u'ENSMUSG00000028362', u'ENSMUSG00000024793', u'ENSMUSG00000005533', u'ENSMUSG00000041827', u'ENSMUSG00000021846', u'ENSMUSG00000038642', u'ENSMUSG00000039004', u'ENSMUSG00000034394', u'ENSMUSG00000030341', u'ENSMUSG00000016496', u'ENSMUSG00000073411', u'ENSMUSG00000035385', u'ENSMUSG00000027995', u'ENSMUSG00000044827', u'ENSMUSG00000036594', u'ENSMUSG00000027164', u'ENSMUSG00000041515', u'ENSMUSG00000028599']), pop_n=13836, p_sm_bonferroni=0.001350409410434748, is_obsolete=False, GO='GO:0006955', name='immune response', pop_count=88, alt_ids=[], level=2, depth=2, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000079362', u'ENSMUSG00000034116', u'ENSMUSG00000045322', u'ENSMUSG00000030341', u'ENSMUSG00000073421', u'ENSMUSG00000073411', u'ENSMUSG00000060802', u'ENSMUSG00000061132', u'ENSMUSG00000026321', u'ENSMUSG00000036594', u'ENSMUSG00000032690', u'ENSMUSG00000079227', u'ENSMUSG00000020941', u'ENSMUSG00000024778', u'ENSMUSG00000079547', u'ENSMUSG00000041515', u'ENSMUSG00000022148', u'ENSMUSG00000027995', u'ENSMUSG00000061232', u'ENSMUSG00000039304']), symbols=u'B2m Blnk Ccr5 Fas Fyb Gm43302 H2-Aa H2-Ab1 H2-D1 H2-DMb1 H2-K1 Irf8 Map3k14 Oas2 Tlr2 Tlr9 Tnfrsf11a Tnfrsf1a Tnfsf10 Vav1', symbol_set=set([u'Fyb', 'H2-K1', 'H2-D1', u'Oas2', u'Tnfrsf1a', u'Vav1', 'H2-Ab1', u'Tnfsf10', u'Irf8', 'H2-Aa', 'H2-DMb1', u'Tlr2', u'B2m', 'Gm43302', u'Map3k14', u'Tnfrsf11a', u'Ccr5', u'Fas', u'Tlr9', u'Blnk']), geneids='ENSMUSG00000060802 ENSMUSG00000061232 ENSMUSG00000073421 ENSMUSG00000034116 ENSMUSG00000045322 ENSMUSG00000079227 ENSMUSG00000061132 ENSMUSG00000026321 ENSMUSG00000079362 ENSMUSG00000036594 ENSMUSG00000032690 ENSMUSG00000030341 ENSMUSG00000020941 ENSMUSG00000039304 ENSMUSG00000073411 ENSMUSG00000079547 ENSMUSG00000041515 ENSMUSG00000022148 ENSMUSG00000027995 ENSMUSG00000024778', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=107, D1='FL', GO_name='immune response'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0032879', name='', pop_count='', alt_ids='', level=3, depth=3, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=1780, D1='A', GO_name='regulation of localization'),
Nt(p_uncorrected=5.378962372457587e-07, study_count=7, study_n=794, namespace='biological_process', p_fdr_bh=0.0004289297837110785, study_items=set([u'ENSMUSG00000073411', u'ENSMUSG00000029468', u'ENSMUSG00000060802', u'ENSMUSG00000024339', u'ENSMUSG00000067212', u'ENSMUSG00000021871', u'ENSMUSG00000061232']), NS='BP', pop_items=set([u'ENSMUSG00000073411', u'ENSMUSG00000029468', u'ENSMUSG00000060802', u'ENSMUSG00000024339', u'ENSMUSG00000067212', u'ENSMUSG00000021871', u'ENSMUSG00000019998', u'ENSMUSG00000015656', u'ENSMUSG00000016206', u'ENSMUSG00000061232', u'ENSMUSG00000026395']), pop_n=13836, p_sm_bonferroni=0.00814966589051049, is_obsolete=False, GO='GO:0001916', name='positive regulation of T cell mediated cytotoxicity', pop_count=11, alt_ids=[], level=6, depth=9, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000073411', u'ENSMUSG00000029468', u'ENSMUSG00000060802', u'ENSMUSG00000024339', u'ENSMUSG00000067212', u'ENSMUSG00000021871', u'ENSMUSG00000061232']), symbols=u'B2m H2-D1 H2-K1 H2-T23 P2rx7 Pnp Tap2', symbol_set=set(['H2-K1', 'H2-D1', u'Pnp', 'H2-T23', u'B2m', u'Tap2', u'P2rx7']), geneids='ENSMUSG00000073411 ENSMUSG00000029468 ENSMUSG00000060802 ENSMUSG00000024339 ENSMUSG00000067212 ENSMUSG00000021871 ENSMUSG00000061232', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=3, D1='A', GO_name='positive regulation of T cell mediated cytotoxicity'),
Nt(p_uncorrected=1.1717303088250284e-05, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.004931357196946668, study_items=set([u'ENSMUSG00000057948', u'ENSMUSG00000052593', u'ENSMUSG00000053175', u'ENSMUSG00000025225', u'ENSMUSG00000043008']), NS='BP', pop_items=set([u'ENSMUSG00000052593', u'ENSMUSG00000053175', u'ENSMUSG00000043008', u'ENSMUSG00000022508', u'ENSMUSG00000025225', u'ENSMUSG00000057948', u'ENSMUSG00000005583']), pop_n=13836, p_sm_bonferroni=0.17752885909008007, is_obsolete=False, GO='GO:0002467', name='germinal center formation', pop_count=7, alt_ids=[], level=3, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000043008', u'ENSMUSG00000053175', u'ENSMUSG00000052593', u'ENSMUSG00000025225', u'ENSMUSG00000057948']), symbols=u'Adam17 Bcl3 Klhl6 Nfkb2 Unc13d', symbol_set=set([u'Klhl6', u'Nfkb2', u'Unc13d', u'Bcl3', u'Adam17']), geneids='ENSMUSG00000053175 ENSMUSG00000052593 ENSMUSG00000057948 ENSMUSG00000025225 ENSMUSG00000043008', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='EFL', GO_name='germinal center formation'),
Nt(p_uncorrected=1.935958720767685e-06, study_count=26, study_n=794, namespace='biological_process', p_fdr_bh=0.001128142714551969, study_items=set([u'ENSMUSG00000023972', u'ENSMUSG00000058056', u'ENSMUSG00000031995', u'ENSMUSG00000004508', u'ENSMUSG00000024835', u'ENSMUSG00000022568', u'ENSMUSG00000021990', u'ENSMUSG00000002603', u'ENSMUSG00000031805', u'ENSMUSG00000072115', u'ENSMUSG00000036862', u'ENSMUSG00000039286', u'ENSMUSG00000032312', u'ENSMUSG00000027087', u'ENSMUSG00000005087', u'ENSMUSG00000026814', u'ENSMUSG00000033295', u'ENSMUSG00000036995', u'ENSMUSG00000031740', u'ENSMUSG00000009621', u'ENSMUSG00000000957', u'ENSMUSG00000062960', u'ENSMUSG00000020689', u'ENSMUSG00000027654', u'ENSMUSG00000007815', u'ENSMUSG00000021998']), NS='BP', pop_items=set([u'ENSMUSG00000033721', u'ENSMUSG00000026490', u'ENSMUSG00000028024', u'ENSMUSG00000027544', u'ENSMUSG00000061136', u'ENSMUSG00000004508', u'ENSMUSG00000022568', u'ENSMUSG00000019997', u'ENSMUSG00000025351', u'ENSMUSG00000031805', u'ENSMUSG00000029053', u'ENSMUSG00000029648', u'ENSMUSG00000058230', u'ENSMUSG00000002489', u'ENSMUSG00000004263', u'ENSMUSG00000021065', u'ENSMUSG00000015647', u'ENSMUSG00000020592', u'ENSMUSG00000028530', u'ENSMUSG00000026814', u'ENSMUSG00000020422', u'ENSMUSG00000039239', u'ENSMUSG00000030685', u'ENSMUSG00000022791', u'ENSMUSG00000009621', u'ENSMUSG00000018849', u'ENSMUSG00000005958', u'ENSMUSG00000006445', u'ENSMUSG00000027654', u'ENSMUSG00000025608', u'ENSMUSG00000040152', u'ENSMUSG00000043061', u'ENSMUSG00000037643', u'ENSMUSG00000030967', u'ENSMUSG00000032312', u'ENSMUSG00000025510', u'ENSMUSG00000021763', u'ENSMUSG00000052504', u'ENSMUSG00000020745', u'ENSMUSG00000055447', u'ENSMUSG00000013663', u'ENSMUSG00000021338', u'ENSMUSG00000027954', u'ENSMUSG00000021994', u'ENSMUSG00000026782', u'ENSMUSG00000020282', u'ENSMUSG00000029231', u'ENSMUSG00000001847', u'ENSMUSG00000037014', u'ENSMUSG00000027009', u'ENSMUSG00000027646', u'ENSMUSG00000004364', u'ENSMUSG00000020135', u'ENSMUSG00000036862', u'ENSMUSG00000039286', u'ENSMUSG00000004933', u'ENSMUSG00000027087', u'ENSMUSG00000062209', u'ENSMUSG00000072115', u'ENSMUSG00000026837', u'ENSMUSG00000066877', u'ENSMUSG00000001552', u'ENSMUSG00000036995', u'ENSMUSG00000031626', u'ENSMUSG00000008475', u'ENSMUSG00000000957', u'ENSMUSG00000031555', u'ENSMUSG00000047139', u'ENSMUSG00000019889', u'ENSMUSG00000017615', u'ENSMUSG00000025239', u'ENSMUSG00000040732', u'ENSMUSG00000032475', u'ENSMUSG00000045180', u'ENSMUSG00000001300', u'ENSMUSG00000021877', u'ENSMUSG00000025437', u'ENSMUSG00000037902', u'ENSMUSG00000056481', u'ENSMUSG00000020121', u'ENSMUSG00000007815', u'ENSMUSG00000074305', u'ENSMUSG00000033444', u'ENSMUSG00000050295', u'ENSMUSG00000049313', u'ENSMUSG00000032740', u'ENSMUSG00000026596', u'ENSMUSG00000017670', u'ENSMUSG00000024835', u'ENSMUSG00000021998', u'ENSMUSG00000022528', u'ENSMUSG00000018736', u'ENSMUSG00000021990', u'ENSMUSG00000058571', u'ENSMUSG00000030707', u'ENSMUSG00000027239', u'ENSMUSG00000022200', u'ENSMUSG00000002603', u'ENSMUSG00000024620', u'ENSMUSG00000029787', u'ENSMUSG00000031785', u'ENSMUSG00000024232', u'ENSMUSG00000000148', u'ENSMUSG00000000631', u'ENSMUSG00000042453', u'ENSMUSG00000032175', u'ENSMUSG00000025429', u'ENSMUSG00000061665', u'ENSMUSG00000026755', u'ENSMUSG00000005087', u'ENSMUSG00000039629', u'ENSMUSG00000026587', u'ENSMUSG00000025809', u'ENSMUSG00000024122', u'ENSMUSG00000023972', u'ENSMUSG00000058056', u'ENSMUSG00000002900', u'ENSMUSG00000023008', u'ENSMUSG00000022602', u'ENSMUSG00000025810', u'ENSMUSG00000062991', u'ENSMUSG00000028701', u'ENSMUSG00000020149', u'ENSMUSG00000014791', u'ENSMUSG00000028969', u'ENSMUSG00000041112', u'ENSMUSG00000030134', u'ENSMUSG00000016933', u'ENSMUSG00000072437', u'ENSMUSG00000039637', u'ENSMUSG00000040990', u'ENSMUSG00000031995', u'ENSMUSG00000031990', u'ENSMUSG00000038976', u'ENSMUSG00000045382', u'ENSMUSG00000028514', u'ENSMUSG00000022505', u'ENSMUSG00000058325', u'ENSMUSG00000026478', u'ENSMUSG00000024486', u'ENSMUSG00000030720', u'ENSMUSG00000040511', u'ENSMUSG00000022261', u'ENSMUSG00000033295', u'ENSMUSG00000025743', u'ENSMUSG00000025089', u'ENSMUSG00000022812', u'ENSMUSG00000045092', u'ENSMUSG00000021279', u'ENSMUSG00000057177', u'ENSMUSG00000005871', u'ENSMUSG00000031740', u'ENSMUSG00000024789', u'ENSMUSG00000029581', u'ENSMUSG00000025348', u'ENSMUSG00000062960', u'ENSMUSG00000023951', u'ENSMUSG00000020689', u'ENSMUSG00000033392', u'ENSMUSG00000031955', u'ENSMUSG00000050357', u'ENSMUSG00000024304', u'ENSMUSG00000032322']), pop_n=13836, p_sm_bonferroni=0.029331710578351194, is_obsolete=False, GO='GO:0016477', name='cell migration', pop_count=163, alt_ids=[], level=3, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000058056', u'ENSMUSG00000026814', u'ENSMUSG00000072115', u'ENSMUSG00000000957', u'ENSMUSG00000005087', u'ENSMUSG00000036995', u'ENSMUSG00000031995', u'ENSMUSG00000004508', u'ENSMUSG00000024835', u'ENSMUSG00000022568', u'ENSMUSG00000023972', u'ENSMUSG00000021990', u'ENSMUSG00000020689', u'ENSMUSG00000027654', u'ENSMUSG00000007815', u'ENSMUSG00000031740', u'ENSMUSG00000002603', u'ENSMUSG00000062960', u'ENSMUSG00000031805', u'ENSMUSG00000033295', u'ENSMUSG00000036862', u'ENSMUSG00000039286', u'ENSMUSG00000009621', u'ENSMUSG00000032312', u'ENSMUSG00000027087', u'ENSMUSG00000021998']), symbols=u'Ang Asap3 Cd44 Coro1b Csk Dchs1 Eng Fam83d Fndc3b Gab2 Itgav Itgb3 Jak3 Kdr Lcp1 Mmp14 Mmp2 Palld Ptk7 Ptprf Rhoa Scrib Spata13 St14 Tgfb1 Vav2', symbol_set=set([u'Spata13', u'Csk', u'Eng', u'Gab2', u'Coro1b', u'Lcp1', u'Asap3', u'Dchs1', u'Tgfb1', u'Itgb3', u'Vav2', u'Palld', u'Itgav', u'Fndc3b', u'Mmp2', u'Fam83d', u'Mmp14', u'Ptk7', u'Rhoa', u'Ang', u'Cd44', u'Scrib', u'Ptprf', u'St14', u'Jak3', u'Kdr']), geneids='ENSMUSG00000000957 ENSMUSG00000058056 ENSMUSG00000031995 ENSMUSG00000004508 ENSMUSG00000024835 ENSMUSG00000021998 ENSMUSG00000021990 ENSMUSG00000002603 ENSMUSG00000031805 ENSMUSG00000072115 ENSMUSG00000036862 ENSMUSG00000039286 ENSMUSG00000032312 ENSMUSG00000027087 ENSMUSG00000005087 ENSMUSG00000026814 ENSMUSG00000033295 ENSMUSG00000036995 ENSMUSG00000031740 ENSMUSG00000009621 ENSMUSG00000023972 ENSMUSG00000062960 ENSMUSG00000020689 ENSMUSG00000027654 ENSMUSG00000007815 ENSMUSG00000022568', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=236, D1='BCM', GO_name='cell migration'),
Nt(p_uncorrected=1.5494522500375623e-06, study_count=20, study_n=794, namespace='biological_process', p_fdr_bh=0.0009390300416127642, study_items=set([u'ENSMUSG00000056144', u'ENSMUSG00000024349', u'ENSMUSG00000029826', u'ENSMUSG00000009585', u'ENSMUSG00000045322', u'ENSMUSG00000027639', u'ENSMUSG00000026928', u'ENSMUSG00000033450', u'ENSMUSG00000000275', u'ENSMUSG00000040264', u'ENSMUSG00000032690', u'ENSMUSG00000047123', u'ENSMUSG00000030793', u'ENSMUSG00000057948', u'ENSMUSG00000031639', u'ENSMUSG00000025492', u'ENSMUSG00000037921', u'ENSMUSG00000032691', u'ENSMUSG00000043279', u'ENSMUSG00000062488']), NS='BP', pop_items=set([u'ENSMUSG00000029826', u'ENSMUSG00000045322', u'ENSMUSG00000070583', u'ENSMUSG00000024079', u'ENSMUSG00000009585', u'ENSMUSG00000020455', u'ENSMUSG00000024978', u'ENSMUSG00000021494', u'ENSMUSG00000022476', u'ENSMUSG00000066568', u'ENSMUSG00000061298', u'ENSMUSG00000017707', u'ENSMUSG00000037523', u'ENSMUSG00000038628', u'ENSMUSG00000020115', u'ENSMUSG00000000776', u'ENSMUSG00000026395', u'ENSMUSG00000056144', u'ENSMUSG00000039236', u'ENSMUSG00000066800', u'ENSMUSG00000029605', u'ENSMUSG00000026896', u'ENSMUSG00000061286', u'ENSMUSG00000078566', u'ENSMUSG00000003234', u'ENSMUSG00000045932', u'ENSMUSG00000020108', u'ENSMUSG00000000275', u'ENSMUSG00000027951', u'ENSMUSG00000036986', u'ENSMUSG00000056851', u'ENSMUSG00000041415', u'ENSMUSG00000035834', u'ENSMUSG00000003184', u'ENSMUSG00000047123', u'ENSMUSG00000036908', u'ENSMUSG00000057948', u'ENSMUSG00000021703', u'ENSMUSG00000022901', u'ENSMUSG00000030789', u'ENSMUSG00000044583', u'ENSMUSG00000034855', u'ENSMUSG00000024349', u'ENSMUSG00000032369', u'ENSMUSG00000035692', u'ENSMUSG00000034459', u'ENSMUSG00000034453', u'ENSMUSG00000022865', u'ENSMUSG00000020641', u'ENSMUSG00000040033', u'ENSMUSG00000025532', u'ENSMUSG00000000386', u'ENSMUSG00000079339', u'ENSMUSG00000032661', u'ENSMUSG00000029417', u'ENSMUSG00000030314', u'ENSMUSG00000027427', u'ENSMUSG00000026928', u'ENSMUSG00000046718', u'ENSMUSG00000030793', u'ENSMUSG00000074896', u'ENSMUSG00000031639', u'ENSMUSG00000062488', u'ENSMUSG00000028099', u'ENSMUSG00000022971', u'ENSMUSG00000032178', u'ENSMUSG00000030880', u'ENSMUSG00000035086', u'ENSMUSG00000027514', u'ENSMUSG00000033450', u'ENSMUSG00000030247', u'ENSMUSG00000029561', u'ENSMUSG00000029165', u'ENSMUSG00000020783', u'ENSMUSG00000030249', u'ENSMUSG00000025492', u'ENSMUSG00000027598', u'ENSMUSG00000032344', u'ENSMUSG00000057329', u'ENSMUSG00000027639', u'ENSMUSG00000040296', u'ENSMUSG00000032690', u'ENSMUSG00000032691', u'ENSMUSG00000022965', u'ENSMUSG00000022967', u'ENSMUSG00000019726', u'ENSMUSG00000022969', u'ENSMUSG00000037921', u'ENSMUSG00000029771', u'ENSMUSG00000020009', u'ENSMUSG00000040264', u'ENSMUSG00000043279', u'ENSMUSG00000024810', u'ENSMUSG00000041827', u'ENSMUSG00000022051', u'ENSMUSG00000017830', u'ENSMUSG00000023341', u'ENSMUSG00000040613', u'ENSMUSG00000018899', u'ENSMUSG00000060591', u'ENSMUSG00000010047', u'ENSMUSG00000005102', u'ENSMUSG00000034259', u'ENSMUSG00000038884']), pop_n=13836, p_sm_bonferroni=0.023475751040319105, is_obsolete=False, GO='GO:0051607', name='defense response to virus', pop_count=104, alt_ids=[], level=3, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000056144', u'ENSMUSG00000040264', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000033450', u'ENSMUSG00000025492', u'ENSMUSG00000030793', u'ENSMUSG00000031639', u'ENSMUSG00000009585', u'ENSMUSG00000032691', u'ENSMUSG00000062488', u'ENSMUSG00000024349', u'ENSMUSG00000027639', u'ENSMUSG00000029826', u'ENSMUSG00000000275', u'ENSMUSG00000043279', u'ENSMUSG00000032690', u'ENSMUSG00000047123', u'ENSMUSG00000057948', u'ENSMUSG00000037921']), symbols=u'Apobec3 Card9 Ddx60 Gbp2b Ifit3b Ifitm3 Nlrp3 Oas2 Pycard Samhd1 Tagap Ticam1 Tlr3 Tlr9 Tmem173 Trim25 Trim34a Trim56 Unc13d Zc3hav1', symbol_set=set(['Gbp2b', u'Ifitm3', u'Trim56', u'Samhd1', u'Nlrp3', u'Tagap', u'Ticam1', u'Trim25', u'Ddx60', u'Unc13d', 'Ifit3b', u'Apobec3', u'Tlr3', u'Card9', u'Oas2', u'Zc3hav1', u'Tmem173', u'Pycard', u'Tlr9', u'Trim34a']), geneids='ENSMUSG00000056144 ENSMUSG00000024349 ENSMUSG00000033450 ENSMUSG00000040264 ENSMUSG00000045322 ENSMUSG00000027639 ENSMUSG00000026928 ENSMUSG00000029826 ENSMUSG00000000275 ENSMUSG00000025492 ENSMUSG00000030793 ENSMUSG00000032691 ENSMUSG00000032690 ENSMUSG00000057948 ENSMUSG00000031639 ENSMUSG00000009585 ENSMUSG00000037921 ENSMUSG00000047123 ENSMUSG00000043279 ENSMUSG00000062488', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=3, D1='FL', GO_name='defense response to virus'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0048870', name='', pop_count='', alt_ids='', level=2, depth=4, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=261, D1='BCM', GO_name='cell motility'),
Nt(p_uncorrected=2.7763769242448692e-05, study_count=11, study_n=794, namespace='biological_process', p_fdr_bh=0.011069707047166847, study_items=set([u'ENSMUSG00000032902', u'ENSMUSG00000048779', u'ENSMUSG00000024349', u'ENSMUSG00000029468', u'ENSMUSG00000002603', u'ENSMUSG00000004040', u'ENSMUSG00000036362', u'ENSMUSG00000004056', u'ENSMUSG00000036353', u'ENSMUSG00000002459', u'ENSMUSG00000052681']), NS='BP', pop_items=set([u'ENSMUSG00000031284', u'ENSMUSG00000030602', u'ENSMUSG00000022781', u'ENSMUSG00000003031', u'ENSMUSG00000068798', u'ENSMUSG00000052681', u'ENSMUSG00000030059', u'ENSMUSG00000028766', u'ENSMUSG00000034957', u'ENSMUSG00000027765', u'ENSMUSG00000022556', u'ENSMUSG00000002603', u'ENSMUSG00000031681', u'ENSMUSG00000004056', u'ENSMUSG00000036353', u'ENSMUSG00000027509', u'ENSMUSG00000026104', u'ENSMUSG00000021025', u'ENSMUSG00000001729', u'ENSMUSG00000027358', u'ENSMUSG00000032902', u'ENSMUSG00000048779', u'ENSMUSG00000027796', u'ENSMUSG00000029468', u'ENSMUSG00000021540', u'ENSMUSG00000039217', u'ENSMUSG00000057177', u'ENSMUSG00000035352', u'ENSMUSG00000026185', u'ENSMUSG00000020516', u'ENSMUSG00000024349', u'ENSMUSG00000024087', u'ENSMUSG00000030774', u'ENSMUSG00000004043', u'ENSMUSG00000004040', u'ENSMUSG00000048402', u'ENSMUSG00000036362', u'ENSMUSG00000025217', u'ENSMUSG00000024182', u'ENSMUSG00000028163', u'ENSMUSG00000002459', u'ENSMUSG00000002458', u'ENSMUSG00000000142', u'ENSMUSG00000034640']), pop_n=13836, p_sm_bonferroni=0.4206488677923401, is_obsolete=False, GO='GO:0071407', name='cellular response to organic cyclic compound', pop_count=44, alt_ids=[], level=5, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000032902', u'ENSMUSG00000048779', u'ENSMUSG00000024349', u'ENSMUSG00000029468', u'ENSMUSG00000002603', u'ENSMUSG00000004040', u'ENSMUSG00000036362', u'ENSMUSG00000004056', u'ENSMUSG00000036353', u'ENSMUSG00000002459', u'ENSMUSG00000052681']), symbols=u'Akt2 P2rx7 P2ry12 P2ry13 P2ry6 Rap1b Rgs20 Slc16a1 Stat3 Tgfb1 Tmem173', symbol_set=set([u'Tgfb1', u'Rgs20', u'Stat3', u'Slc16a1', u'Rap1b', u'P2ry12', u'P2ry13', u'Akt2', u'P2ry6', u'Tmem173', u'P2rx7']), geneids='ENSMUSG00000032902 ENSMUSG00000048779 ENSMUSG00000024349 ENSMUSG00000029468 ENSMUSG00000002603 ENSMUSG00000004040 ENSMUSG00000036362 ENSMUSG00000004056 ENSMUSG00000036353 ENSMUSG00000002459 ENSMUSG00000052681', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=122, D1='BF', GO_name='cellular response to organic cyclic compound'),
Nt(p_uncorrected='', study_count='', study_n='', namespace='', p_fdr_bh='', study_items='', NS='BP', pop_items='', pop_n='', p_sm_bonferroni='', is_obsolete='', GO='GO:0050896', name='', pop_count='', alt_ids='', level=1, depth=1, enrichment='', Cluster='', geneid_set='', symbols='', symbol_set='', geneids='', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=False, hdr1usr01='*', dcnt=2241, D1='F', GO_name='response to stimulus'),
Nt(p_uncorrected=2.5263641063287124e-06, study_count=7, study_n=794, namespace='biological_process', p_fdr_bh=0.0013251369739822624, study_items=set([u'ENSMUSG00000025888', u'ENSMUSG00000029468', u'ENSMUSG00000030793', u'ENSMUSG00000032691', u'ENSMUSG00000033538', u'ENSMUSG00000037860', u'ENSMUSG00000079227']), NS='BP', pop_items=set([u'ENSMUSG00000000982', u'ENSMUSG00000025888', u'ENSMUSG00000029468', u'ENSMUSG00000030793', u'ENSMUSG00000032691', u'ENSMUSG00000066551', u'ENSMUSG00000033538', u'ENSMUSG00000031934', u'ENSMUSG00000022967', u'ENSMUSG00000021994', u'ENSMUSG00000037860', u'ENSMUSG00000022575', u'ENSMUSG00000079227']), pop_n=13836, p_sm_bonferroni=0.038276942574986324, is_obsolete=False, GO='GO:0050718', name='positive regulation of interleukin-1 beta secretion', pop_count=13, alt_ids=[], level=8, depth=11, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000025888', u'ENSMUSG00000033538', u'ENSMUSG00000029468', u'ENSMUSG00000037860', u'ENSMUSG00000079227', u'ENSMUSG00000030793', u'ENSMUSG00000032691']), symbols=u'Aim2 Casp1 Casp4 Ccr5 Nlrp3 P2rx7 Pycard', symbol_set=set([u'Casp4', u'Nlrp3', u'Casp1', u'Aim2', u'Ccr5', u'Pycard', u'P2rx7']), geneids='ENSMUSG00000025888 ENSMUSG00000029468 ENSMUSG00000030793 ENSMUSG00000032691 ENSMUSG00000033538 ENSMUSG00000037860 ENSMUSG00000079227', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='A', GO_name='positive regulation of interleukin-1 beta secretion'),
Nt(p_uncorrected=4.858068668518285e-10, study_count=16, study_n=794, namespace='biological_process', p_fdr_bh=1.4720919679344106e-06, study_items=set([u'ENSMUSG00000040264', u'ENSMUSG00000052593', u'ENSMUSG00000038058', u'ENSMUSG00000060802', u'ENSMUSG00000072115', u'ENSMUSG00000026928', u'ENSMUSG00000067212', u'ENSMUSG00000035279', u'ENSMUSG00000062210', u'ENSMUSG00000003283', u'ENSMUSG00000015950', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000027995', u'ENSMUSG00000029298', u'ENSMUSG00000029468']), NS='BP', pop_items=set([u'ENSMUSG00000058385', u'ENSMUSG00000040264', u'ENSMUSG00000015950', u'ENSMUSG00000028874', u'ENSMUSG00000026928', u'ENSMUSG00000067212', u'ENSMUSG00000035279', u'ENSMUSG00000028362', u'ENSMUSG00000062727', u'ENSMUSG00000028268', u'ENSMUSG00000022191', u'ENSMUSG00000022575', u'ENSMUSG00000052593', u'ENSMUSG00000032508', u'ENSMUSG00000069516', u'ENSMUSG00000079641', u'ENSMUSG00000016024', u'ENSMUSG00000020115', u'ENSMUSG00000041135', u'ENSMUSG00000029298', u'ENSMUSG00000054717', u'ENSMUSG00000029468', u'ENSMUSG00000072115', u'ENSMUSG00000068854', u'ENSMUSG00000040253', u'ENSMUSG00000027695', u'ENSMUSG00000037071', u'ENSMUSG00000021194', u'ENSMUSG00000003283', u'ENSMUSG00000028270', u'ENSMUSG00000018102', u'ENSMUSG00000062210', u'ENSMUSG00000006445', u'ENSMUSG00000060802', u'ENSMUSG00000027995', u'ENSMUSG00000047246', u'ENSMUSG00000020399', u'ENSMUSG00000038058', u'ENSMUSG00000024300', u'ENSMUSG00000079614', u'ENSMUSG00000032041', u'ENSMUSG00000069268']), pop_n=13836, p_sm_bonferroni=7.360459839672053e-06, is_obsolete=False, GO='GO:0050830', name='defense response to Gram-positive bacterium', pop_count=42, alt_ids=[], level=6, depth=7, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000040264', u'ENSMUSG00000015950', u'ENSMUSG00000072115', u'ENSMUSG00000026928', u'ENSMUSG00000067212', u'ENSMUSG00000035279', u'ENSMUSG00000062210', u'ENSMUSG00000003283', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000029468', u'ENSMUSG00000052593', u'ENSMUSG00000060802', u'ENSMUSG00000027995', u'ENSMUSG00000038058', u'ENSMUSG00000029298']), symbols=u'Adam17 Ang B2m Card9 Gbp2 Gbp2b Gbp3 Gbp9 H2-T23 Hck Ncf1 Nod1 P2rx7 Ssc5d Tlr2 Tnfaip8', symbol_set=set(['Gbp2b', u'Ncf1', u'Ang', u'Tnfaip8', 'Ssc5d', u'Gbp3', u'Gbp2', 'H2-T23', u'B2m', u'Tlr2', u'Card9', u'Nod1', u'Adam17', u'Hck', u'Gbp9', u'P2rx7']), geneids='ENSMUSG00000040264 ENSMUSG00000052593 ENSMUSG00000029468 ENSMUSG00000060802 ENSMUSG00000072115 ENSMUSG00000026928 ENSMUSG00000027995 ENSMUSG00000035279 ENSMUSG00000067212 ENSMUSG00000062210 ENSMUSG00000003283 ENSMUSG00000015950 ENSMUSG00000028270 ENSMUSG00000028268 ENSMUSG00000038058 ENSMUSG00000029298', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=0, D1='F', GO_name='defense response to Gram-positive bacterium'),
Nt(p_uncorrected=1.3518814314355716e-10, study_count=61, study_n=794, namespace='biological_process', p_fdr_bh=5.120588891920086e-07, study_items=set([u'ENSMUSG00000040264', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000067212', u'ENSMUSG00000035279', u'ENSMUSG00000030793', u'ENSMUSG00000070390', u'ENSMUSG00000055172', u'ENSMUSG00000031639', u'ENSMUSG00000009585', u'ENSMUSG00000031805', u'ENSMUSG00000047798', u'ENSMUSG00000024338', u'ENSMUSG00000024339', u'ENSMUSG00000043496', u'ENSMUSG00000029826', u'ENSMUSG00000024621', u'ENSMUSG00000073421', u'ENSMUSG00000047123', u'ENSMUSG00000024235', u'ENSMUSG00000027508', u'ENSMUSG00000071203', u'ENSMUSG00000079547', u'ENSMUSG00000025492', u'ENSMUSG00000037860', u'ENSMUSG00000036905', u'ENSMUSG00000032312', u'ENSMUSG00000061232', u'ENSMUSG00000038213', u'ENSMUSG00000020707', u'ENSMUSG00000028191', u'ENSMUSG00000057058', u'ENSMUSG00000037731', u'ENSMUSG00000024349', u'ENSMUSG00000030263', u'ENSMUSG00000003283', u'ENSMUSG00000032691', u'ENSMUSG00000033538', u'ENSMUSG00000020437', u'ENSMUSG00000029217', u'ENSMUSG00000062593', u'ENSMUSG00000042228', u'ENSMUSG00000036896', u'ENSMUSG00000015947', u'ENSMUSG00000030748', u'ENSMUSG00000021583', u'ENSMUSG00000073411', u'ENSMUSG00000060802', u'ENSMUSG00000029798', u'ENSMUSG00000014599', u'ENSMUSG00000027995', u'ENSMUSG00000027639', u'ENSMUSG00000000275', u'ENSMUSG00000036594', u'ENSMUSG00000032690', u'ENSMUSG00000040751', u'ENSMUSG00000038058', u'ENSMUSG00000021423', u'ENSMUSG00000031838', u'ENSMUSG00000043279', u'ENSMUSG00000060550']), NS='BP', pop_items=set([u'ENSMUSG00000035834', u'ENSMUSG00000045322', u'ENSMUSG00000028874', u'ENSMUSG00000004730', u'ENSMUSG00000021703', u'ENSMUSG00000024079', u'ENSMUSG00000074151', u'ENSMUSG00000060586', u'ENSMUSG00000016481', u'ENSMUSG00000024338', u'ENSMUSG00000055172', u'ENSMUSG00000036887', u'ENSMUSG00000009585', u'ENSMUSG00000031805', u'ENSMUSG00000022476', u'ENSMUSG00000024371', u'ENSMUSG00000042228', u'ENSMUSG00000017707', u'ENSMUSG00000032035', u'ENSMUSG00000071369', u'ENSMUSG00000026399', u'ENSMUSG00000037523', u'ENSMUSG00000038628', u'ENSMUSG00000020115', u'ENSMUSG00000000776', u'ENSMUSG00000019843', u'ENSMUSG00000015217', u'ENSMUSG00000035629', u'ENSMUSG00000039748', u'ENSMUSG00000039236', u'ENSMUSG00000049686', u'ENSMUSG00000024164', u'ENSMUSG00000035279', u'ENSMUSG00000024045', u'ENSMUSG00000038128', u'ENSMUSG00000075705', u'ENSMUSG00000041187', u'ENSMUSG00000038517', u'ENSMUSG00000046034', u'ENSMUSG00000062593', u'ENSMUSG00000029605', u'ENSMUSG00000026896', u'ENSMUSG00000037321', u'ENSMUSG00000037649', u'ENSMUSG00000014599', u'ENSMUSG00000000275', u'ENSMUSG00000024789', u'ENSMUSG00000051439', u'ENSMUSG00000038058', u'ENSMUSG00000025512', u'ENSMUSG00000050199', u'ENSMUSG00000034889', u'ENSMUSG00000024621', u'ENSMUSG00000027951', u'ENSMUSG00000020437', u'ENSMUSG00000070390', u'ENSMUSG00000036986', u'ENSMUSG00000030751', u'ENSMUSG00000025139', u'ENSMUSG00000000134', u'ENSMUSG00000026883', u'ENSMUSG00000015837', u'ENSMUSG00000032691', u'ENSMUSG00000018446', u'ENSMUSG00000018899', u'ENSMUSG00000028885', u'ENSMUSG00000029826', u'ENSMUSG00000028633', u'ENSMUSG00000027646', u'ENSMUSG00000003184', u'ENSMUSG00000047123', u'ENSMUSG00000024767', u'ENSMUSG00000016024', u'ENSMUSG00000054072', u'ENSMUSG00000036908', u'ENSMUSG00000037860', u'ENSMUSG00000036905', u'ENSMUSG00000032312', u'ENSMUSG00000061232', u'ENSMUSG00000001123', u'ENSMUSG00000031392', u'ENSMUSG00000028099', u'ENSMUSG00000055204', u'ENSMUSG00000022901', u'ENSMUSG00000045932', u'ENSMUSG00000033777', u'ENSMUSG00000059883', u'ENSMUSG00000027598', u'ENSMUSG00000030263', u'ENSMUSG00000039936', u'ENSMUSG00000003283', u'ENSMUSG00000051212', u'ENSMUSG00000044583', u'ENSMUSG00000023915', u'ENSMUSG00000002688', u'ENSMUSG00000022636', u'ENSMUSG00000021583', u'ENSMUSG00000078942', u'ENSMUSG00000031838', u'ENSMUSG00000078945', u'ENSMUSG00000025702', u'ENSMUSG00000027639', u'ENSMUSG00000033307', u'ENSMUSG00000024610', u'ENSMUSG00000000787', u'ENSMUSG00000034453', u'ENSMUSG00000026288', u'ENSMUSG00000028793', u'ENSMUSG00000034218', u'ENSMUSG00000023990', u'ENSMUSG00000025532', u'ENSMUSG00000060550', u'ENSMUSG00000000386', u'ENSMUSG00000052384', u'ENSMUSG00000070034', u'ENSMUSG00000028064', u'ENSMUSG00000027427', u'ENSMUSG00000026928', u'ENSMUSG00000000732', u'ENSMUSG00000020399', u'ENSMUSG00000046718', u'ENSMUSG00000013707', u'ENSMUSG00000030793', u'ENSMUSG00000021457', u'ENSMUSG00000074896', u'ENSMUSG00000024948', u'ENSMUSG00000031639', u'ENSMUSG00000020823', u'ENSMUSG00000025498', u'ENSMUSG00000047798', u'ENSMUSG00000026285', u'ENSMUSG00000032508', u'ENSMUSG00000024339', u'ENSMUSG00000002602', u'ENSMUSG00000053647', u'ENSMUSG00000060591', u'ENSMUSG00000041439', u'ENSMUSG00000032076', u'ENSMUSG00000024235', u'ENSMUSG00000001150', u'ENSMUSG00000027508', u'ENSMUSG00000036896', u'ENSMUSG00000071203', u'ENSMUSG00000079547', u'ENSMUSG00000030880', u'ENSMUSG00000041135', u'ENSMUSG00000024392', u'ENSMUSG00000022575', u'ENSMUSG00000021624', u'ENSMUSG00000020707', u'ENSMUSG00000038213', u'ENSMUSG00000057058', u'ENSMUSG00000027514', u'ENSMUSG00000037731', u'ENSMUSG00000030122', u'ENSMUSG00000024349', u'ENSMUSG00000033454', u'ENSMUSG00000022514', u'ENSMUSG00000022887', u'ENSMUSG00000036469', u'ENSMUSG00000023973', u'ENSMUSG00000043496', u'ENSMUSG00000020573', u'ENSMUSG00000034652', u'ENSMUSG00000036712', u'ENSMUSG00000025492', u'ENSMUSG00000032109', u'ENSMUSG00000060802', u'ENSMUSG00000029798', u'ENSMUSG00000032344', u'ENSMUSG00000059456', u'ENSMUSG00000026117', u'ENSMUSG00000040296', u'ENSMUSG00000032690', u'ENSMUSG00000040751', u'ENSMUSG00000032905', u'ENSMUSG00000020476', u'ENSMUSG00000004707', u'ENSMUSG00000038160', u'ENSMUSG00000038495', u'ENSMUSG00000001128', u'ENSMUSG00000029771', u'ENSMUSG00000058818', u'ENSMUSG00000040264', u'ENSMUSG00000056851', u'ENSMUSG00000032661', u'ENSMUSG00000067212', u'ENSMUSG00000038521', u'ENSMUSG00000036594', u'ENSMUSG00000031750', u'ENSMUSG00000022508', u'ENSMUSG00000073421', u'ENSMUSG00000041827', u'ENSMUSG00000050335', u'ENSMUSG00000044811', u'ENSMUSG00000026471', u'ENSMUSG00000017830', u'ENSMUSG00000019256', u'ENSMUSG00000023341', u'ENSMUSG00000023224', u'ENSMUSG00000015947', u'ENSMUSG00000020641', u'ENSMUSG00000026778', u'ENSMUSG00000039005', u'ENSMUSG00000026648', u'ENSMUSG00000028059', u'ENSMUSG00000028191', u'ENSMUSG00000054717', u'ENSMUSG00000038260', u'ENSMUSG00000046879', u'ENSMUSG00000021277', u'ENSMUSG00000030748', u'ENSMUSG00000033538', u'ENSMUSG00000028291', u'ENSMUSG00000029217', u'ENSMUSG00000051256', u'ENSMUSG00000066839', u'ENSMUSG00000073411', u'ENSMUSG00000005102', u'ENSMUSG00000029561', u'ENSMUSG00000029915', u'ENSMUSG00000027995', u'ENSMUSG00000044827', u'ENSMUSG00000043279', u'ENSMUSG00000027164', u'ENSMUSG00000026365', u'ENSMUSG00000032322', u'ENSMUSG00000032041', u'ENSMUSG00000034459', u'ENSMUSG00000045038', u'ENSMUSG00000021423', u'ENSMUSG00000038147', u'ENSMUSG00000052889', u'ENSMUSG00000050132', u'ENSMUSG00000032737']), pop_n=13836, p_sm_bonferroni=2.048235556768035e-06, is_obsolete=False, GO='GO:0002376', name='immune system process', pop_count=235, alt_ids=[], level=1, depth=1, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000040264', u'ENSMUSG00000040751', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000067212', u'ENSMUSG00000035279', u'ENSMUSG00000030793', u'ENSMUSG00000036594', u'ENSMUSG00000055172', u'ENSMUSG00000031639', u'ENSMUSG00000009585', u'ENSMUSG00000047123', u'ENSMUSG00000073411', u'ENSMUSG00000062593', u'ENSMUSG00000047798', u'ENSMUSG00000024338', u'ENSMUSG00000024339', u'ENSMUSG00000043496', u'ENSMUSG00000029826', u'ENSMUSG00000024621', u'ENSMUSG00000031805', u'ENSMUSG00000024235', u'ENSMUSG00000027508', u'ENSMUSG00000071203', u'ENSMUSG00000079547', u'ENSMUSG00000037860', u'ENSMUSG00000036905', u'ENSMUSG00000032312', u'ENSMUSG00000061232', u'ENSMUSG00000038213', u'ENSMUSG00000020707', u'ENSMUSG00000028191', u'ENSMUSG00000057058', u'ENSMUSG00000037731', u'ENSMUSG00000024349', u'ENSMUSG00000030263', u'ENSMUSG00000003283', u'ENSMUSG00000033538', u'ENSMUSG00000020437', u'ENSMUSG00000029217', u'ENSMUSG00000073421', u'ENSMUSG00000042228', u'ENSMUSG00000036896', u'ENSMUSG00000015947', u'ENSMUSG00000030748', u'ENSMUSG00000021583', u'ENSMUSG00000025492', u'ENSMUSG00000060802', u'ENSMUSG00000029798', u'ENSMUSG00000014599', u'ENSMUSG00000027995', u'ENSMUSG00000027639', u'ENSMUSG00000000275', u'ENSMUSG00000070390', u'ENSMUSG00000032690', u'ENSMUSG00000032691', u'ENSMUSG00000038058', u'ENSMUSG00000021423', u'ENSMUSG00000031838', u'ENSMUSG00000043279', u'ENSMUSG00000060550']), symbols=u'Aim2 Apobec3 B2m Bcl10 C1qb C1qc C1ra Card9 Casp4 Cd300lf Csf1 Csf1r Csk Erap1 Fcgr1 Gbp2b H2-Aa H2-Ab1 H2-D1 H2-DMb1 H2-K1 H2-Q7 H2-T23 Hck Herc6 Ifi30 Ifitm3 Il4ra Jak3 Lat2 Lilrb4a Lrmp Ly86 Lyn Map3k8 Myo1g Naip5 Nlrp1b Nlrp3 Nod1 Oas2 Pag1 Psmb8 Pycard Rnf135 Samhd1 Skap1 Ssc5d Tap2 Tapbpl Tec Themis2 Ticam1 Tlr2 Tlr3 Tlr9 Tmem173 Tril Trim25 Trim56 Zc3hav1', symbol_set=set(['Gbp2b', u'Ifitm3', u'Casp4', u'Tec', u'Csf1', u'Csk', u'Tapbpl', u'Naip5', u'Pag1', u'Ifi30', u'Aim2', u'Apobec3', u'Card9', 'H2-D1', u'Hck', u'Psmb8', u'Pycard', u'Bcl10', u'Ticam1', 'H2-K1', 'Ssc5d', 'H2-T23', u'Skap1', u'C1qc', u'C1qb', u'Cd300lf', u'B2m', u'Oas2', u'Herc6', u'Csf1r', u'Lrmp', u'Trim56', u'Tmem173', u'Zc3hav1', u'Map3k8', u'Tap2', u'Il4ra', u'Nlrp3', u'Lat2', 'Lilrb4a', 'H2-Q7', u'Ly86', 'H2-Aa', 'H2-DMb1', u'Tril', u'Erap1', u'Samhd1', u'Nlrp1b', u'Myo1g', 'H2-Ab1', u'C1ra', u'Tlr2', u'Tlr3', 'Themis2', u'Nod1', u'Jak3', u'Trim25', u'Lyn', u'Tlr9', u'Fcgr1', u'Rnf135']), geneids='ENSMUSG00000040264 ENSMUSG00000045322 ENSMUSG00000026928 ENSMUSG00000067212 ENSMUSG00000035279 ENSMUSG00000020437 ENSMUSG00000036594 ENSMUSG00000055172 ENSMUSG00000031639 ENSMUSG00000009585 ENSMUSG00000047123 ENSMUSG00000040751 ENSMUSG00000071203 ENSMUSG00000047798 ENSMUSG00000024338 ENSMUSG00000024339 ENSMUSG00000043496 ENSMUSG00000029826 ENSMUSG00000024621 ENSMUSG00000073421 ENSMUSG00000031805 ENSMUSG00000015947 ENSMUSG00000027508 ENSMUSG00000037731 ENSMUSG00000079547 ENSMUSG00000037860 ENSMUSG00000036905 ENSMUSG00000032312 ENSMUSG00000061232 ENSMUSG00000038213 ENSMUSG00000020707 ENSMUSG00000028191 ENSMUSG00000057058 ENSMUSG00000043279 ENSMUSG00000025492 ENSMUSG00000030263 ENSMUSG00000003283 ENSMUSG00000033538 ENSMUSG00000030793 ENSMUSG00000073411 ENSMUSG00000029217 ENSMUSG00000062593 ENSMUSG00000042228 ENSMUSG00000036896 ENSMUSG00000021583 ENSMUSG00000024349 ENSMUSG00000031838 ENSMUSG00000060802 ENSMUSG00000029798 ENSMUSG00000014599 ENSMUSG00000027995 ENSMUSG00000027639 ENSMUSG00000000275 ENSMUSG00000030748 ENSMUSG00000032690 ENSMUSG00000032691 ENSMUSG00000038058 ENSMUSG00000070390 ENSMUSG00000021423 ENSMUSG00000024235 ENSMUSG00000060550', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=572, D1='L', GO_name='immune system process'),
Nt(p_uncorrected=2.9764833787115223e-05, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.011274174917714569, study_items=set([u'ENSMUSG00000036461', u'ENSMUSG00000022500', u'ENSMUSG00000042228', u'ENSMUSG00000032312', u'ENSMUSG00000038235']), NS='BP', pop_items=set([u'ENSMUSG00000036461', u'ENSMUSG00000021277', u'ENSMUSG00000022208', u'ENSMUSG00000030536', u'ENSMUSG00000022500', u'ENSMUSG00000042228', u'ENSMUSG00000032312', u'ENSMUSG00000038235']), pop_n=13836, p_sm_bonferroni=0.45096699670858276, is_obsolete=False, GO='GO:0001817', name='regulation of cytokine production', pop_count=8, alt_ids=[], level=4, depth=4, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000042228', u'ENSMUSG00000022500', u'ENSMUSG00000036461', u'ENSMUSG00000032312', u'ENSMUSG00000038235']), symbols=u'Csk Elf1 F11r Litaf Lyn', symbol_set=set([u'Elf1', u'Lyn', u'Litaf', u'F11r', u'Csk']), geneids='ENSMUSG00000042228 ENSMUSG00000022500 ENSMUSG00000036461 ENSMUSG00000032312 ENSMUSG00000038235', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=476, D1='A', GO_name='regulation of cytokine production'),
Nt(p_uncorrected=0.00018831346875026884, study_count=3, study_n=794, namespace='biological_process', p_fdr_bh=0.04322935401568671, study_items=set([u'ENSMUSG00000031639', u'ENSMUSG00000021408', u'ENSMUSG00000024778']), NS='BP', pop_items=set([u'ENSMUSG00000031639', u'ENSMUSG00000021408', u'ENSMUSG00000024778']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0097527', name='necroptotic signaling pathway', pop_count=3, alt_ids=[], level=3, depth=5, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000031639', u'ENSMUSG00000021408', u'ENSMUSG00000024778']), symbols=u'Fas Ripk1 Tlr3', symbol_set=set([u'Ripk1', u'Tlr3', u'Fas']), geneids='ENSMUSG00000031639 ENSMUSG00000021408 ENSMUSG00000024778', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=0, D1='AB', GO_name='necroptotic signaling pathway'),
Nt(p_uncorrected=1.1072215607900484e-06, study_count=14, study_n=794, namespace='biological_process', p_fdr_bh=0.0007625233576150012, study_items=set([u'ENSMUSG00000021583', u'ENSMUSG00000062593', u'ENSMUSG00000028191', u'ENSMUSG00000057058', u'ENSMUSG00000024339', u'ENSMUSG00000026321', u'ENSMUSG00000020437', u'ENSMUSG00000031805', u'ENSMUSG00000027508', u'ENSMUSG00000067212', u'ENSMUSG00000029217', u'ENSMUSG00000040751', u'ENSMUSG00000042228', u'ENSMUSG00000032312']), NS='BP', pop_items=set([u'ENSMUSG00000026648', u'ENSMUSG00000028064', u'ENSMUSG00000000732', u'ENSMUSG00000020437', u'ENSMUSG00000021457', u'ENSMUSG00000037321', u'ENSMUSG00000020476', u'ENSMUSG00000031990', u'ENSMUSG00000004707', u'ENSMUSG00000023990', u'ENSMUSG00000018446', u'ENSMUSG00000038260', u'ENSMUSG00000022636', u'ENSMUSG00000024339', u'ENSMUSG00000004730', u'ENSMUSG00000041439', u'ENSMUSG00000031805', u'ENSMUSG00000024767', u'ENSMUSG00000027508', u'ENSMUSG00000036908', u'ENSMUSG00000019843', u'ENSMUSG00000041135', u'ENSMUSG00000032312', u'ENSMUSG00000058818', u'ENSMUSG00000026812', u'ENSMUSG00000049686', u'ENSMUSG00000022901', u'ENSMUSG00000059456', u'ENSMUSG00000028191', u'ENSMUSG00000024789', u'ENSMUSG00000028793', u'ENSMUSG00000039936', u'ENSMUSG00000038128', u'ENSMUSG00000023915', u'ENSMUSG00000029217', u'ENSMUSG00000062593', u'ENSMUSG00000042228', u'ENSMUSG00000021583', u'ENSMUSG00000041187', u'ENSMUSG00000032216', u'ENSMUSG00000005102', u'ENSMUSG00000025702', u'ENSMUSG00000024610', u'ENSMUSG00000026321', u'ENSMUSG00000026117', u'ENSMUSG00000020399', u'ENSMUSG00000000134', u'ENSMUSG00000040751', u'ENSMUSG00000051212', u'ENSMUSG00000057058', u'ENSMUSG00000067212', u'ENSMUSG00000038147', u'ENSMUSG00000052889']), pop_n=13836, p_sm_bonferroni=0.016775513867530022, is_obsolete=False, GO='GO:0002250', name='adaptive immune response', pop_count=53, alt_ids=[], level=3, depth=3, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000021583', u'ENSMUSG00000028191', u'ENSMUSG00000057058', u'ENSMUSG00000024339', u'ENSMUSG00000026321', u'ENSMUSG00000020437', u'ENSMUSG00000031805', u'ENSMUSG00000040751', u'ENSMUSG00000032312', u'ENSMUSG00000027508', u'ENSMUSG00000029217', u'ENSMUSG00000062593', u'ENSMUSG00000042228', u'ENSMUSG00000067212']), symbols=u'Bcl10 Csk Erap1 H2-T23 Jak3 Lat2 Lilrb4a Lyn Myo1g Pag1 Skap1 Tap2 Tec Tnfrsf11a', symbol_set=set([u'Erap1', u'Tap2', u'Csk', u'Lat2', u'Myo1g', u'Pag1', 'H2-T23', u'Skap1', u'Tnfrsf11a', 'Lilrb4a', u'Tec', u'Lyn', u'Bcl10', u'Jak3']), geneids='ENSMUSG00000021583 ENSMUSG00000062593 ENSMUSG00000028191 ENSMUSG00000057058 ENSMUSG00000024339 ENSMUSG00000026321 ENSMUSG00000020437 ENSMUSG00000031805 ENSMUSG00000027508 ENSMUSG00000067212 ENSMUSG00000029217 ENSMUSG00000040751 ENSMUSG00000042228 ENSMUSG00000032312', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=52, D1='FL', GO_name='adaptive immune response'),
Nt(p_uncorrected=0.0001215684959084734, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.03175662554326346, study_items=set([u'ENSMUSG00000014599', u'ENSMUSG00000022105', u'ENSMUSG00000021408', u'ENSMUSG00000026029', u'ENSMUSG00000022831']), NS='BP', pop_items=set([u'ENSMUSG00000034394', u'ENSMUSG00000026029', u'ENSMUSG00000022831', u'ENSMUSG00000014599', u'ENSMUSG00000021408', u'ENSMUSG00000032501', u'ENSMUSG00000050965', u'ENSMUSG00000031750', u'ENSMUSG00000020644', u'ENSMUSG00000022105']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0045651', name='positive regulation of macrophage differentiation', pop_count=10, alt_ids=[], level=8, depth=9, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000014599', u'ENSMUSG00000022105', u'ENSMUSG00000021408', u'ENSMUSG00000026029', u'ENSMUSG00000022831']), symbols=u'Casp8 Csf1 Hcls1 Rb1 Ripk1', symbol_set=set([u'Ripk1', u'Hcls1', u'Casp8', u'Csf1', u'Rb1']), geneids='ENSMUSG00000014599 ENSMUSG00000022105 ENSMUSG00000021408 ENSMUSG00000026029 ENSMUSG00000022831', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=1, D1='A', GO_name='positive regulation of macrophage differentiation'),
Nt(p_uncorrected=2.1406708605252513e-09, study_count=10, study_n=794, namespace='biological_process', p_fdr_bh=4.05416302597726e-06, study_items=set([u'ENSMUSG00000040264', u'ENSMUSG00000027852', u'ENSMUSG00000053175', u'ENSMUSG00000069874', u'ENSMUSG00000030748', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000047810', u'ENSMUSG00000041515', u'ENSMUSG00000029298']), NS='BP', pop_items=set([u'ENSMUSG00000040264', u'ENSMUSG00000027852', u'ENSMUSG00000030798', u'ENSMUSG00000053175', u'ENSMUSG00000025499', u'ENSMUSG00000069874', u'ENSMUSG00000028270', u'ENSMUSG00000040253', u'ENSMUSG00000026177', u'ENSMUSG00000030748', u'ENSMUSG00000054072', u'ENSMUSG00000019726', u'ENSMUSG00000028268', u'ENSMUSG00000047810', u'ENSMUSG00000041515', u'ENSMUSG00000029298']), pop_n=13836, p_sm_bonferroni=3.243330420781808e-05, is_obsolete=False, GO='GO:0042832', name='defense response to protozoan', pop_count=16, alt_ids=[], level=5, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000040264', u'ENSMUSG00000027852', u'ENSMUSG00000053175', u'ENSMUSG00000069874', u'ENSMUSG00000030748', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000047810', u'ENSMUSG00000041515', u'ENSMUSG00000029298']), symbols=u'Bcl3 Ccdc88b Gbp2 Gbp2b Gbp3 Gbp9 Il4ra Irf8 Irgm2 Nras', symbol_set=set(['Gbp2b', u'Gbp9', u'Il4ra', u'Gbp3', u'Gbp2', u'Ccdc88b', u'Irf8', u'Nras', u'Irgm2', u'Bcl3']), geneids='ENSMUSG00000040264 ENSMUSG00000027852 ENSMUSG00000053175 ENSMUSG00000069874 ENSMUSG00000030748 ENSMUSG00000028270 ENSMUSG00000028268 ENSMUSG00000047810 ENSMUSG00000041515 ENSMUSG00000029298', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=1, D1='F', GO_name='defense response to protozoan'),
Nt(p_uncorrected=2.9764833787115223e-05, study_count=5, study_n=794, namespace='biological_process', p_fdr_bh=0.011274174917714569, study_items=set([u'ENSMUSG00000028268', u'ENSMUSG00000062300', u'ENSMUSG00000040264', u'ENSMUSG00000029298', u'ENSMUSG00000028270']), NS='BP', pop_items=set([u'ENSMUSG00000037405', u'ENSMUSG00000040264', u'ENSMUSG00000040253', u'ENSMUSG00000062300', u'ENSMUSG00000037936', u'ENSMUSG00000028270', u'ENSMUSG00000028268', u'ENSMUSG00000029298']), pop_n=13836, p_sm_bonferroni=0.45096699670858276, is_obsolete=False, GO='GO:0044406', name='adhesion of symbiont to host', pop_count=8, alt_ids=['GO:0051825', 'GO:0051856'], level=2, depth=2, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000028268', u'ENSMUSG00000062300', u'ENSMUSG00000040264', u'ENSMUSG00000029298', u'ENSMUSG00000028270']), symbols=u'Gbp2 Gbp2b Gbp3 Gbp9 Nectin2', symbol_set=set([u'Gbp3', 'Nectin2', u'Gbp9', 'Gbp2b', u'Gbp2']), geneids='ENSMUSG00000028268 ENSMUSG00000062300 ENSMUSG00000040264 ENSMUSG00000029298 ENSMUSG00000028270', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=22, D1='IP', GO_name='adhesion of symbiont to host'),
Nt(p_uncorrected=6.627253573428696e-05, study_count=11, study_n=794, namespace='biological_process', p_fdr_bh=0.019309522863657343, study_items=set([u'ENSMUSG00000000555', u'ENSMUSG00000034116', u'ENSMUSG00000000290', u'ENSMUSG00000004508', u'ENSMUSG00000027087', u'ENSMUSG00000029217', u'ENSMUSG00000058715', u'ENSMUSG00000020120', u'ENSMUSG00000007815', u'ENSMUSG00000024965', u'ENSMUSG00000020689']), NS='BP', pop_items=set([u'ENSMUSG00000033721', u'ENSMUSG00000028041', u'ENSMUSG00000021457', u'ENSMUSG00000004508', u'ENSMUSG00000019997', u'ENSMUSG00000058715', u'ENSMUSG00000000555', u'ENSMUSG00000040945', u'ENSMUSG00000027009', u'ENSMUSG00000020857', u'ENSMUSG00000027646', u'ENSMUSG00000042284', u'ENSMUSG00000004364', u'ENSMUSG00000021065', u'ENSMUSG00000026043', u'ENSMUSG00000028874', u'ENSMUSG00000022817', u'ENSMUSG00000001507', u'ENSMUSG00000020758', u'ENSMUSG00000027087', u'ENSMUSG00000015647', u'ENSMUSG00000038264', u'ENSMUSG00000034116', u'ENSMUSG00000030789', u'ENSMUSG00000030786', u'ENSMUSG00000025809', u'ENSMUSG00000026768', u'ENSMUSG00000029528', u'ENSMUSG00000030579', u'ENSMUSG00000029217', u'ENSMUSG00000025348', u'ENSMUSG00000037712', u'ENSMUSG00000043733', u'ENSMUSG00000020689', u'ENSMUSG00000029860', u'ENSMUSG00000000290', u'ENSMUSG00000059456', u'ENSMUSG00000022607', u'ENSMUSG00000024965', u'ENSMUSG00000031425', u'ENSMUSG00000007815', u'ENSMUSG00000058230', u'ENSMUSG00000027111', u'ENSMUSG00000039115', u'ENSMUSG00000030890', u'ENSMUSG00000020120', u'ENSMUSG00000062352', u'ENSMUSG00000031955']), pop_n=13836, p_sm_bonferroni=1.0, is_obsolete=False, GO='GO:0007229', name='integrin-mediated signaling pathway', pop_count=48, alt_ids=[], level=4, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000000555', u'ENSMUSG00000034116', u'ENSMUSG00000000290', u'ENSMUSG00000004508', u'ENSMUSG00000024965', u'ENSMUSG00000029217', u'ENSMUSG00000058715', u'ENSMUSG00000020120', u'ENSMUSG00000007815', u'ENSMUSG00000027087', u'ENSMUSG00000020689']), symbols=u'Fcer1g Fermt3 Gab2 Itga5 Itgav Itgb2 Itgb3 Plek Rhoa Tec Vav1', symbol_set=set([u'Fcer1g', u'Itgb2', u'Vav1', u'Tec', u'Gab2', u'Itga5', u'Itgav', u'Fermt3', u'Itgb3', u'Rhoa', u'Plek']), geneids='ENSMUSG00000000555 ENSMUSG00000034116 ENSMUSG00000000290 ENSMUSG00000004508 ENSMUSG00000027087 ENSMUSG00000029217 ENSMUSG00000058715 ENSMUSG00000020120 ENSMUSG00000007815 ENSMUSG00000024965 ENSMUSG00000020689', format_txt=1, hdr_idx=1, is_hdrgo=True, is_usrgo=True, hdr1usr01='**', dcnt=0, D1='AB', GO_name='integrin-mediated signaling pathway'),
Nt(p_uncorrected=1.36080987204659e-07, study_count=12, study_n=794, namespace='biological_process', p_fdr_bh=0.00012128017865516403, study_items=set([u'ENSMUSG00000027947', u'ENSMUSG00000029468', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000027995', u'ENSMUSG00000030793', u'ENSMUSG00000047123', u'ENSMUSG00000038058', u'ENSMUSG00000031639', u'ENSMUSG00000058715', u'ENSMUSG00000079227', u'ENSMUSG00000006519']), NS='BP', pop_items=set([u'ENSMUSG00000031380', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000030793', u'ENSMUSG00000028291', u'ENSMUSG00000052688', u'ENSMUSG00000031639', u'ENSMUSG00000021994', u'ENSMUSG00000058715', u'ENSMUSG00000024810', u'ENSMUSG00000018500', u'ENSMUSG00000006519', u'ENSMUSG00000032508', u'ENSMUSG00000024256', u'ENSMUSG00000034610', u'ENSMUSG00000047123', u'ENSMUSG00000016024', u'ENSMUSG00000041135', u'ENSMUSG00000039005', u'ENSMUSG00000028059', u'ENSMUSG00000027947', u'ENSMUSG00000029468', u'ENSMUSG00000027551', u'ENSMUSG00000044583', u'ENSMUSG00000027399', u'ENSMUSG00000022708', u'ENSMUSG00000025980', u'ENSMUSG00000027995', u'ENSMUSG00000040296', u'ENSMUSG00000066551', u'ENSMUSG00000038058', u'ENSMUSG00000022749', u'ENSMUSG00000079227']), pop_n=13836, p_sm_bonferroni=0.002061763037137789, is_obsolete=False, GO='GO:0032755', name='positive regulation of interleukin-6 production', pop_count=33, alt_ids=[], level=6, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000027947', u'ENSMUSG00000029468', u'ENSMUSG00000045322', u'ENSMUSG00000026928', u'ENSMUSG00000027995', u'ENSMUSG00000030793', u'ENSMUSG00000047123', u'ENSMUSG00000038058', u'ENSMUSG00000031639', u'ENSMUSG00000058715', u'ENSMUSG00000079227', u'ENSMUSG00000006519']), symbols=u'Card9 Ccr5 Cyba Fcer1g Il6ra Nod1 P2rx7 Pycard Ticam1 Tlr2 Tlr3 Tlr9', symbol_set=set([u'Ticam1', u'Fcer1g', u'Il6ra', u'Tlr2', u'Tlr3', u'Card9', u'Cyba', u'Nod1', u'Ccr5', u'Pycard', u'Tlr9', u'P2rx7']), geneids='ENSMUSG00000027947 ENSMUSG00000029468 ENSMUSG00000045322 ENSMUSG00000026928 ENSMUSG00000027995 ENSMUSG00000030793 ENSMUSG00000047123 ENSMUSG00000038058 ENSMUSG00000031639 ENSMUSG00000058715 ENSMUSG00000079227 ENSMUSG00000006519', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=2, D1='A', GO_name='positive regulation of interleukin-6 production'),
Nt(p_uncorrected=7.956004359417217e-07, study_count=12, study_n=794, namespace='biological_process', p_fdr_bh=0.0006027071102476514, study_items=set([u'ENSMUSG00000079362', u'ENSMUSG00000038058', u'ENSMUSG00000053175', u'ENSMUSG00000069874', u'ENSMUSG00000042286', u'ENSMUSG00000030341', u'ENSMUSG00000015947', u'ENSMUSG00000015950', u'ENSMUSG00000071203', u'ENSMUSG00000058715', u'ENSMUSG00000041515', u'ENSMUSG00000061232']), NS='BP', pop_items=set([u'ENSMUSG00000039191', u'ENSMUSG00000042286', u'ENSMUSG00000021457', u'ENSMUSG00000022894', u'ENSMUSG00000056501', u'ENSMUSG00000058715', u'ENSMUSG00000030059', u'ENSMUSG00000021948', u'ENSMUSG00000053175', u'ENSMUSG00000069516', u'ENSMUSG00000023078', u'ENSMUSG00000015947', u'ENSMUSG00000016024', u'ENSMUSG00000037523', u'ENSMUSG00000020953', u'ENSMUSG00000071203', u'ENSMUSG00000061232', u'ENSMUSG00000079362', u'ENSMUSG00000015950', u'ENSMUSG00000069874', u'ENSMUSG00000055204', u'ENSMUSG00000030341', u'ENSMUSG00000006403', u'ENSMUSG00000067847', u'ENSMUSG00000026878', u'ENSMUSG00000027878', u'ENSMUSG00000078942', u'ENSMUSG00000078945', u'ENSMUSG00000035692', u'ENSMUSG00000029484', u'ENSMUSG00000045827', u'ENSMUSG00000044827', u'ENSMUSG00000026177', u'ENSMUSG00000020149', u'ENSMUSG00000038058', u'ENSMUSG00000019726', u'ENSMUSG00000016206', u'ENSMUSG00000041515']), pop_n=13836, p_sm_bonferroni=0.012054142204953025, is_obsolete=False, GO='GO:0042742', name='defense response to bacterium', pop_count=38, alt_ids=['GO:0042830'], level=5, depth=6, enrichment='e', Cluster='Consistent Increase', geneid_set=set([u'ENSMUSG00000079362', u'ENSMUSG00000015950', u'ENSMUSG00000053175', u'ENSMUSG00000069874', u'ENSMUSG00000042286', u'ENSMUSG00000030341', u'ENSMUSG00000015947', u'ENSMUSG00000038058', u'ENSMUSG00000071203', u'ENSMUSG00000058715', u'ENSMUSG00000041515', u'ENSMUSG00000061232']), symbols=u'Bcl3 Fcer1g Fcgr1 Gm43302 H2-K1 Irf8 Irgm2 Naip5 Ncf1 Nod1 Stab1 Tnfrsf1a', symbol_set=set([u'Ncf1', u'Stab1', u'Tnfrsf1a', u'Naip5', u'Irf8', u'Fcer1g', 'Gm43302', u'Nod1', u'Fcgr1', u'Irgm2', u'Bcl3', 'H2-K1']), geneids='ENSMUSG00000079362 ENSMUSG00000015950 ENSMUSG00000053175 ENSMUSG00000069874 ENSMUSG00000042286 ENSMUSG00000030341 ENSMUSG00000015947 ENSMUSG00000038058 ENSMUSG00000071203 ENSMUSG00000041515 ENSMUSG00000058715 ENSMUSG00000061232', format_txt=0, hdr_idx=0, is_hdrgo=False, is_usrgo=True, hdr1usr01='', dcnt=8, D1='F', GO_name='defense response to bacterium'),
]
| 1,304.238095
| 10,983
| 0.802687
| 14,862
| 136,945
| 7.311196
| 0.129323
| 0.006
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| 104
| 10,984
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0
| 5
|
a1778f3260c1e6e4881945b459e8656b679ad7a5
| 30
|
py
|
Python
|
python/testData/resolve/multiFile/importPrivateNameWithStar/b.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/resolve/multiFile/importPrivateNameWithStar/b.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/resolve/multiFile/importPrivateNameWithStar/b.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
class __Private(object): pass
| 15
| 29
| 0.8
| 4
| 30
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.1
| 30
| 1
| 30
| 30
| 0.814815
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| true
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|
0
| 5
|
a18703f561f693d2e4162b33ffcc797aeeb7e5df
| 408
|
py
|
Python
|
remove_digits.py
|
SparkDevTeams/AI-Fall-2020
|
b71e6b593f157f2d745d7eebb754dca7123e1e08
|
[
"MIT"
] | 6
|
2020-09-22T21:02:47.000Z
|
2020-10-24T00:16:04.000Z
|
remove_digits.py
|
SparkDevTeams/AI-Fall-2020
|
b71e6b593f157f2d745d7eebb754dca7123e1e08
|
[
"MIT"
] | 1
|
2020-11-05T19:44:51.000Z
|
2020-11-05T19:44:51.000Z
|
remove_digits.py
|
SparkDevTeams/AI-Fall-2020
|
b71e6b593f157f2d745d7eebb754dca7123e1e08
|
[
"MIT"
] | 1
|
2021-01-20T18:55:23.000Z
|
2021-01-20T18:55:23.000Z
|
import csv
import pandas as pd
import string
#review = pd.read_csv('/Users/alonzofamily5/Desktop/AI-Fall-2020-Dev/Export1.csv')
#csv_f = csv.reader(review)
def remove_dig():
review['reviewText'] = review['reviewText'].str.replace(r'\d+', '')
print(review['reviewText'].head(48))
# review['reviewText'] = review['reviewText'].str.replace(r'\d+', '')
# print(review['reviewText'].head(48))
| 27.2
| 82
| 0.676471
| 55
| 408
| 4.963636
| 0.527273
| 0.351648
| 0.161172
| 0.234432
| 0.520147
| 0.520147
| 0.520147
| 0.520147
| 0.520147
| 0.520147
| 0
| 0.027778
| 0.117647
| 408
| 14
| 83
| 29.142857
| 0.730556
| 0.519608
| 0
| 0
| 0
| 0
| 0.172775
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.5
| 0
| 0.666667
| 0.166667
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a1a2bf49ed9c3cde25d39bd9f9300f9d86e37d87
| 126
|
py
|
Python
|
sanic/__init__.py
|
BananaWanted/sanic
|
c2b6451c7869f761d3d9d50d4782efff5beedcfa
|
[
"MIT"
] | 1
|
2019-06-17T05:50:11.000Z
|
2019-06-17T05:50:11.000Z
|
sanic/__init__.py
|
BananaWanted/sanic
|
c2b6451c7869f761d3d9d50d4782efff5beedcfa
|
[
"MIT"
] | null | null | null |
sanic/__init__.py
|
BananaWanted/sanic
|
c2b6451c7869f761d3d9d50d4782efff5beedcfa
|
[
"MIT"
] | null | null | null |
from sanic.app import Sanic
from sanic.blueprints import Blueprint
__version__ = "19.6.0"
__all__ = ["Sanic", "Blueprint"]
| 15.75
| 38
| 0.738095
| 17
| 126
| 5
| 0.647059
| 0.211765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0.142857
| 126
| 7
| 39
| 18
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0.15873
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
a1aa636b97de5eaffb9043e0aa4c37f71d0d2404
| 56
|
py
|
Python
|
String_Manupulation.py
|
mcjohnchristopher/Python_Samples
|
738f3b7d9baa7f4e396647f380118eba66ea645c
|
[
"CC0-1.0"
] | null | null | null |
String_Manupulation.py
|
mcjohnchristopher/Python_Samples
|
738f3b7d9baa7f4e396647f380118eba66ea645c
|
[
"CC0-1.0"
] | null | null | null |
String_Manupulation.py
|
mcjohnchristopher/Python_Samples
|
738f3b7d9baa7f4e396647f380118eba66ea645c
|
[
"CC0-1.0"
] | null | null | null |
word = 'Jeni'
print (word)
word[2] = m
print word
| 9.333333
| 14
| 0.571429
| 9
| 56
| 3.555556
| 0.555556
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.285714
| 56
| 6
| 15
| 9.333333
| 0.775
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
a1d3390b43214f386f506787400cefe2700b998a
| 4,697
|
py
|
Python
|
types/methods/pretty_cards.py
|
StepaTa/vkbottle
|
3b04a5343380cbabe782151e7cb1c1645a9fa9ce
|
[
"MIT"
] | null | null | null |
types/methods/pretty_cards.py
|
StepaTa/vkbottle
|
3b04a5343380cbabe782151e7cb1c1645a9fa9ce
|
[
"MIT"
] | null | null | null |
types/methods/pretty_cards.py
|
StepaTa/vkbottle
|
3b04a5343380cbabe782151e7cb1c1645a9fa9ce
|
[
"MIT"
] | null | null | null |
# Generated with love
import typing
from .access import APIAccessibility
from .method import BaseMethod
class PrettycardsCreate(BaseMethod):
kwargs: dict = {}
access_token_type: APIAccessibility = [APIAccessibility.USER]
async def __call__(
self,
owner_id: int,
title: str,
photo: str,
link: str,
price: str = None,
price_old: str = None,
button: str = None,
) -> dict:
""" prettyCards.create
From Vk Docs:
Access from user token(s)
:param owner_id:
:param photo:
:param title:
:param link:
:param price:
:param price_old:
:param button:
"""
params = {
k if not k.endswith("_") else k[:-1]: v
for k, v in {**locals(), **self.kwargs}.items()
if k not in ["self"] and v is not None
}
return await self.request("prettyCards.create", params)
class PrettycardsDelete(BaseMethod):
kwargs: dict = {}
access_token_type: APIAccessibility = [APIAccessibility.USER]
async def __call__(self, owner_id: int, card_id: int) -> dict:
""" prettyCards.delete
From Vk Docs:
Access from user token(s)
:param owner_id:
:param card_id:
"""
params = {
k if not k.endswith("_") else k[:-1]: v
for k, v in {**locals(), **self.kwargs}.items()
if k not in ["self"] and v is not None
}
return await self.request("prettyCards.delete", params)
class PrettycardsEdit(BaseMethod):
kwargs: dict = {}
access_token_type: APIAccessibility = [APIAccessibility.USER]
async def __call__(
self,
owner_id: int,
card_id: int,
photo: str = None,
title: str = None,
link: str = None,
price: str = None,
price_old: str = None,
button: str = None,
) -> dict:
""" prettyCards.edit
From Vk Docs:
Access from user token(s)
:param owner_id:
:param card_id:
:param photo:
:param title:
:param link:
:param price:
:param price_old:
:param button:
"""
params = {
k if not k.endswith("_") else k[:-1]: v
for k, v in {**locals(), **self.kwargs}.items()
if k not in ["self"] and v is not None
}
return await self.request("prettyCards.edit", params)
class PrettycardsGet(BaseMethod):
kwargs: dict = {}
access_token_type: APIAccessibility = [APIAccessibility.USER]
async def __call__(
self, owner_id: int, offset: int = None, count: int = None
) -> dict:
""" prettyCards.get
From Vk Docs:
Access from user token(s)
:param owner_id:
:param offset:
:param count:
"""
params = {
k if not k.endswith("_") else k[:-1]: v
for k, v in {**locals(), **self.kwargs}.items()
if k not in ["self"] and v is not None
}
return await self.request("prettyCards.get", params)
class PrettycardsGetById(BaseMethod):
kwargs: dict = {}
access_token_type: APIAccessibility = [APIAccessibility.USER]
async def __call__(self, owner_id: int, card_ids: typing.List) -> dict:
""" prettyCards.getById
From Vk Docs:
Access from user token(s)
:param owner_id:
:param card_ids:
"""
params = {
k if not k.endswith("_") else k[:-1]: v
for k, v in {**locals(), **self.kwargs}.items()
if k not in ["self"] and v is not None
}
return await self.request("prettyCards.getById", params)
class PrettycardsGetUploadURL(BaseMethod):
kwargs: dict = {}
access_token_type: APIAccessibility = [APIAccessibility.USER]
async def __call__(self,) -> dict:
""" prettyCards.getUploadURL
From Vk Docs:
Access from user token(s)
"""
params = {
k if not k.endswith("_") else k[:-1]: v
for k, v in {**locals(), **self.kwargs}.items()
if k not in ["self"] and v is not None
}
return await self.request("prettyCards.getUploadURL", params)
class Prettycards:
def __init__(self, request):
self.create = PrettycardsCreate(request)
self.delete = PrettycardsDelete(request)
self.edit = PrettycardsEdit(request)
self.get = PrettycardsGet(request)
self.get_by_id = PrettycardsGetById(request)
self.get_upload_u_r_l = PrettycardsGetUploadURL(request)
| 28.125749
| 75
| 0.5561
| 535
| 4,697
| 4.747664
| 0.142056
| 0.027559
| 0.047244
| 0.061417
| 0.704724
| 0.704724
| 0.704724
| 0.704724
| 0.692913
| 0.692913
| 0
| 0.001913
| 0.332127
| 4,697
| 166
| 76
| 28.295181
| 0.807778
| 0.004045
| 0
| 0.565217
| 1
| 0
| 0.039084
| 0.0067
| 0
| 0
| 0
| 0
| 0
| 1
| 0.01087
| false
| 0
| 0.032609
| 0
| 0.315217
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
a1ee63ddc1eed0bbbd2671c8fe7d1b2a6e70521b
| 294
|
py
|
Python
|
graphs/views/__init__.py
|
CSI-BennettUniversity/Sample-Project-1
|
23197352372b7ad00a026683477b5a95a4178e35
|
[
"MIT"
] | 5
|
2020-07-30T16:47:30.000Z
|
2021-02-15T16:44:59.000Z
|
graphs/views/__init__.py
|
CSI-BennettUniversity/Sample-Project-1
|
23197352372b7ad00a026683477b5a95a4178e35
|
[
"MIT"
] | 4
|
2021-06-04T23:42:41.000Z
|
2021-09-11T03:17:12.000Z
|
graphs/views/__init__.py
|
CSI-BennettUniversity/Sample-Project-1
|
23197352372b7ad00a026683477b5a95a4178e35
|
[
"MIT"
] | 7
|
2020-07-05T14:29:17.000Z
|
2021-06-05T14:34:20.000Z
|
from .vanilla import (
ComparisonResultView,
multiple_result_view,
IndividualResultView,
MultipleResultView
)
from .api import update_accuracy
__all__ = [
'ComparisonResultView', 'multiple_result_view', 'IndividualResultView',
'MultipleResultView', 'update_accuracy'
]
| 22.615385
| 75
| 0.758503
| 23
| 294
| 9.26087
| 0.565217
| 0.262911
| 0.319249
| 0.356808
| 0.713615
| 0.713615
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159864
| 294
| 12
| 76
| 24.5
| 0.862348
| 0
| 0
| 0
| 0
| 0
| 0.316327
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.181818
| 0
| 0.181818
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
629fd50f15628aa823830775d748aa656762cd6f
| 104
|
py
|
Python
|
room_sensor_api/routes.py
|
FIUS/RoomSensorApi
|
f3e3548e7cacfac9da5ef75613ac949576ddc90a
|
[
"Apache-2.0"
] | null | null | null |
room_sensor_api/routes.py
|
FIUS/RoomSensorApi
|
f3e3548e7cacfac9da5ef75613ac949576ddc90a
|
[
"Apache-2.0"
] | null | null | null |
room_sensor_api/routes.py
|
FIUS/RoomSensorApi
|
f3e3548e7cacfac9da5ef75613ac949576ddc90a
|
[
"Apache-2.0"
] | null | null | null |
from . import APP
from . import api
if APP.config.get('DEBUG', False):
from . import debug_routes
| 14.857143
| 34
| 0.692308
| 16
| 104
| 4.4375
| 0.625
| 0.422535
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201923
| 104
| 6
| 35
| 17.333333
| 0.855422
| 0
| 0
| 0
| 0
| 0
| 0.048077
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
62b17fdff8337758387b92e979fedd760b751fd2
| 90
|
py
|
Python
|
test/__init__.py
|
Euraxluo/distance_matrix
|
680e3147c263ea5f1abb26998aeb0b1985442a4b
|
[
"MIT"
] | 1
|
2022-03-15T06:47:36.000Z
|
2022-03-15T06:47:36.000Z
|
test/__init__.py
|
Euraxluo/distance_matrix
|
680e3147c263ea5f1abb26998aeb0b1985442a4b
|
[
"MIT"
] | null | null | null |
test/__init__.py
|
Euraxluo/distance_matrix
|
680e3147c263ea5f1abb26998aeb0b1985442a4b
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Time: 2022-03-07 18:56
# Copyright (c) 2022
# author: Euraxluo
| 18
| 24
| 0.6
| 14
| 90
| 3.857143
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.232877
| 0.188889
| 90
| 4
| 25
| 22.5
| 0.506849
| 0.9
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
62bcac1be67614fc85990c33f63abd1b99f6b91e
| 155
|
py
|
Python
|
MovieRecommendationApp/web/admin.py
|
Harshvardhan1999/Movie-Recommendation-System-Web-Application
|
6e04d308d9ba99e555ebdfd616b278ded391aa0c
|
[
"Apache-2.0"
] | 133
|
2018-07-22T15:03:09.000Z
|
2022-03-29T09:04:10.000Z
|
MovieRecommendationApp/web/admin.py
|
Harshvardhan1999/Movie-Recommendation-System-Web-Application
|
6e04d308d9ba99e555ebdfd616b278ded391aa0c
|
[
"Apache-2.0"
] | 3
|
2019-08-10T03:40:23.000Z
|
2020-06-05T18:38:44.000Z
|
MovieRecommendationApp/web/admin.py
|
Harshvardhan1999/Movie-Recommendation-System-Web-Application
|
6e04d308d9ba99e555ebdfd616b278ded391aa0c
|
[
"Apache-2.0"
] | 70
|
2019-03-03T22:21:45.000Z
|
2022-02-25T12:55:23.000Z
|
from django.contrib import admin
from .models import Movie,Myrating
admin.site.register(Movie)
admin.site.register(Myrating)
# Register your models here.
| 22.142857
| 34
| 0.812903
| 22
| 155
| 5.727273
| 0.545455
| 0.142857
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103226
| 155
| 6
| 35
| 25.833333
| 0.906475
| 0.167742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
62c82942b7c78b0d705130489725c7ae58090e97
| 130
|
py
|
Python
|
unit_test_basic/app1/tests/test_ex1.py
|
bluebamus/django_pytest
|
2a2e6b070e3f23616119f1661eee25722c770eb2
|
[
"MIT"
] | null | null | null |
unit_test_basic/app1/tests/test_ex1.py
|
bluebamus/django_pytest
|
2a2e6b070e3f23616119f1661eee25722c770eb2
|
[
"MIT"
] | null | null | null |
unit_test_basic/app1/tests/test_ex1.py
|
bluebamus/django_pytest
|
2a2e6b070e3f23616119f1661eee25722c770eb2
|
[
"MIT"
] | null | null | null |
import pytest
def test_example():
print("222 테스트 코드 입니다")
assert 1 ==1
def test_failed_example1():
assert 1 == 1
| 14.444444
| 28
| 0.630769
| 20
| 130
| 3.95
| 0.7
| 0.177215
| 0.202532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.261538
| 130
| 8
| 29
| 16.25
| 0.739583
| 0
| 0
| 0.333333
| 0
| 0
| 0.107692
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.166667
| 0
| 0.5
| 0.166667
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
62dd826257aa3dc88da44e8fb570b4572aaf7b40
| 310
|
py
|
Python
|
test/test_meta.py
|
philipphessler/asysync
|
9540eee15a23daf5c1b4e38c39e44c460bd10897
|
[
"MIT"
] | null | null | null |
test/test_meta.py
|
philipphessler/asysync
|
9540eee15a23daf5c1b4e38c39e44c460bd10897
|
[
"MIT"
] | 35
|
2019-04-30T22:34:16.000Z
|
2019-09-20T22:07:58.000Z
|
test/test_meta.py
|
philipphessler/asysync
|
9540eee15a23daf5c1b4e38c39e44c460bd10897
|
[
"MIT"
] | null | null | null |
import asysync
def test___author___is_set():
assert hasattr(asysync, "__author__")
def test___email___is_set():
assert hasattr(asysync, "__email__")
def test___version___is_set():
assert hasattr(asysync, "__version__")
def test___license___is_set():
assert hasattr(asysync, "__license__")
| 20.666667
| 42
| 0.758065
| 38
| 310
| 5.026316
| 0.315789
| 0.146597
| 0.230366
| 0.376963
| 0.52356
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13871
| 310
| 14
| 43
| 22.142857
| 0.715356
| 0
| 0
| 0
| 0
| 0
| 0.132258
| 0
| 0
| 0
| 0
| 0
| 0.444444
| 1
| 0.444444
| true
| 0
| 0.111111
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
62ddc5a7e62594b808fa89a325e04535ecb5a7a7
| 25
|
py
|
Python
|
shivyc/tree/__init__.py
|
cmm-compiler/ShivyC
|
56a5b73cadc7f300832589367fe5c0ce04414d23
|
[
"MIT"
] | 953
|
2016-09-16T16:46:16.000Z
|
2022-03-19T20:05:27.000Z
|
shivyc/tree/__init__.py
|
me2nuk/ShivyC
|
e7d72eff237e1ef49ec70333497348baf86be425
|
[
"MIT"
] | 111
|
2016-07-15T05:36:14.000Z
|
2021-06-06T21:51:20.000Z
|
shivyc/tree/__init__.py
|
me2nuk/ShivyC
|
e7d72eff237e1ef49ec70333497348baf86be425
|
[
"MIT"
] | 86
|
2018-03-31T01:58:14.000Z
|
2022-03-22T04:35:38.000Z
|
"""Dummy __init__.py."""
| 12.5
| 24
| 0.6
| 3
| 25
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 25
| 1
| 25
| 25
| 0.478261
| 0.72
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
62f814efcd00b604ec8951749cf152a48805ccbd
| 132
|
py
|
Python
|
competitive/AtCoder/sumitrust2019/A.py
|
pn11/benkyokai
|
9ebdc46b529e76b7196add26dbc1e62ad48e72b0
|
[
"MIT"
] | null | null | null |
competitive/AtCoder/sumitrust2019/A.py
|
pn11/benkyokai
|
9ebdc46b529e76b7196add26dbc1e62ad48e72b0
|
[
"MIT"
] | 22
|
2020-03-24T16:24:47.000Z
|
2022-02-26T15:51:18.000Z
|
competitive/AtCoder/sumitrust2019/A.py
|
pn11/benkyokai
|
9ebdc46b529e76b7196add26dbc1e62ad48e72b0
|
[
"MIT"
] | null | null | null |
M1, D1 = [int(x) for x in input().split()]
M2, D2 = [int(x) for x in input().split()]
if M1 != M2:
print(1)
else:
print(0)
| 16.5
| 42
| 0.530303
| 26
| 132
| 2.692308
| 0.576923
| 0.114286
| 0.2
| 0.228571
| 0.571429
| 0.571429
| 0.571429
| 0
| 0
| 0
| 0
| 0.08
| 0.242424
| 132
| 7
| 43
| 18.857143
| 0.62
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.333333
| 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
| 0
| 0
| 0
| 0
|
0
| 5
|
62faedbe5ff5803b48f5461686d4fe814ba85250
| 6,113
|
py
|
Python
|
masking.py
|
cliang1453/super-structured-lottery-tickets
|
caad8b6618831cfde9ba764bfe27ab7564dfda60
|
[
"MIT"
] | 10
|
2021-06-09T06:32:25.000Z
|
2022-03-25T14:23:10.000Z
|
masking.py
|
cliang1453/super-structured-lottery-tickets
|
caad8b6618831cfde9ba764bfe27ab7564dfda60
|
[
"MIT"
] | 1
|
2021-12-10T06:31:38.000Z
|
2021-12-11T06:12:42.000Z
|
masking.py
|
cliang1453/super-structured-lottery-tickets
|
caad8b6618831cfde9ba764bfe27ab7564dfda60
|
[
"MIT"
] | 1
|
2021-07-28T20:10:58.000Z
|
2021-07-28T20:10:58.000Z
|
from math import sqrt
from logger import logger
import torch
import math
def determine_masking_sequence(args, n_heads=0, n_layers=0):
mask_number = args.mask_number
if mask_number is None:
# Compute the number of heads to prune on percentage if needed
mask_number = []
for prune_percent in args.mask_percent:
total_heads = n_heads * n_layers
n_to_mask = int(total_heads * prune_percent / 100)
# Make sure we keep at least one head per layer
if args.min_number_attention_heads > 0:
if n_to_mask > total_heads - args.min_number_attention_heads * n_layers:
n_to_mask = total_heads - args.min_number_attention_heads * n_layers
mask_number.append(n_to_mask)
break
mask_number.append(n_to_mask)
# We'll incrementally prune layers and evaluate
mask_number = sorted(mask_number)
mask_sequence = mask_number[:]
for idx in range(1, len(mask_number)):
mask_sequence[idx] = mask_number[idx] - mask_number[idx-1]
# Verify that the total number of heads pruned stayed the same
assert mask_number[-1] == sum(mask_sequence)
return mask_sequence
def what_to_threshold(
head_importance,
mask_threshold,
heads_to_mask=None,
min_number_attention_heads=0,
n_heads=0,
n_layers=0,
):
for idx, score in head_importance.items():
if idx not in heads_to_mask:
heads_to_mask[idx] = {}
score = (score < mask_threshold).nonzero()
thresholded_heads = [(score[i,0].item(), score[i,1].item()) for i in range(score.size()[0])]
# layer/heads that were already pruned
# Prune the lowest scoring heads
thresholded_heads = [
(layer, head)
for (layer, head) in thresholded_heads
if layer not in heads_to_mask[idx] or head not in heads_to_mask[idx][layer]
]
# Update heads to prune
for layer, head in thresholded_heads:
if layer not in heads_to_mask[idx]:
heads_to_mask[idx][layer] = set()
heads_to_mask[idx][layer].add(head)
return heads_to_mask
def what_to_mask(
head_importance,
n_to_mask,
heads_to_mask=None,
min_number_attention_heads=0,
n_heads=0,
n_layers=0,
reverse=False
):
# Sort heads by score
for idx, score in head_importance.items():
if idx not in heads_to_mask:
heads_to_mask[idx] = {}
heads_and_score = [
((layer, head), score[layer, head])
for layer in range(n_layers)
for head in range(n_heads)
]
heads_and_score = sorted(heads_and_score, key=lambda x: x[1], reverse=reverse)
sorted_heads = [head_and_score[0] for head_and_score in heads_and_score]
# Ensure we don't delete all heads in a layer
if min_number_attention_heads:
# Remove the top scoring head in each layer
to_protect = {l: 0 for l in range(n_layers)}
filtered_sorted_heads = []
for layer, head in reversed(sorted_heads):
if layer in to_protect:
if to_protect[layer] < min_number_attention_heads:
to_protect[layer] += 1
continue
else:
to_protect.pop(layer)
filtered_sorted_heads.insert(0, (layer, head))
sorted_heads = filtered_sorted_heads
# layer/heads that were already pruned
# Prune the lowest scoring heads
sorted_heads = [
(layer, head)
for (layer, head) in sorted_heads
if layer not in heads_to_mask[idx] or head not in heads_to_mask[idx][layer]
]
# Update heads to prune
for layer, head in sorted_heads[:n_to_mask]:
if layer not in heads_to_mask[idx]:
heads_to_mask[idx][layer] = set()
heads_to_mask[idx][layer].add(head)
return heads_to_mask
def what_to_mask_iterative(
head_importance,
n_to_mask,
curr_n_to_mask,
heads_to_mask=None,
min_number_attention_heads=0,
n_heads=0,
n_layers=0
):
# Sort heads by score
for idx, score in head_importance.items():
if idx not in heads_to_mask:
heads_to_mask[idx] = {}
heads_and_score = [
((layer, head), score[layer, head])
for layer in range(n_layers)
for head in range(n_heads)
]
heads_and_score = sorted(heads_and_score, key=lambda x: x[1])
sorted_heads = [head_and_score[0] for head_and_score in heads_and_score]
# Ensure we don't delete all heads in a layer
if min_number_attention_heads:
# Remove the top scoring head in each layer
to_protect = {l: 0 for l in range(n_layers)}
filtered_sorted_heads = []
for layer, head in reversed(sorted_heads):
if layer in to_protect:
if to_protect[layer] < min_number_attention_heads:
to_protect[layer] += 1
continue
else:
to_protect.pop(layer)
filtered_sorted_heads.insert(0, (layer, head))
sorted_heads = filtered_sorted_heads
# layer/heads that were already pruned
# Prune the lowest scoring heads
sorted_heads = [
(layer, head)
for (layer, head) in sorted_heads
if layer not in heads_to_mask[idx] or head not in heads_to_mask[idx][layer]
]
# Update heads to prune
for layer, head in sorted_heads[:curr_n_to_mask]:
if layer not in heads_to_mask[idx]:
heads_to_mask[idx][layer] = set()
heads_to_mask[idx][layer].add(head)
return heads_to_mask
| 35.540698
| 101
| 0.586782
| 816
| 6,113
| 4.117647
| 0.134804
| 0.069643
| 0.088393
| 0.075
| 0.775595
| 0.756845
| 0.733036
| 0.728869
| 0.728869
| 0.728869
| 0
| 0.007704
| 0.341731
| 6,113
| 171
| 102
| 35.748538
| 0.827286
| 0.113692
| 0
| 0.671875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007813
| 1
| 0.03125
| false
| 0
| 0.078125
| 0
| 0.140625
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
1a03256efe5c3ac9d7ec28fbc6f046ec45e8f655
| 21
|
py
|
Python
|
src/ralph_assets/__init__.py
|
kula1922/ralph_assets
|
613d9ae716a51cdfc76669f2b1e3391073b77da2
|
[
"Apache-2.0"
] | null | null | null |
src/ralph_assets/__init__.py
|
kula1922/ralph_assets
|
613d9ae716a51cdfc76669f2b1e3391073b77da2
|
[
"Apache-2.0"
] | null | null | null |
src/ralph_assets/__init__.py
|
kula1922/ralph_assets
|
613d9ae716a51cdfc76669f2b1e3391073b77da2
|
[
"Apache-2.0"
] | null | null | null |
VERSION = (1, 2, 13)
| 10.5
| 20
| 0.52381
| 4
| 21
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0.238095
| 21
| 1
| 21
| 21
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
1a0b5b102c80cfc0f231b76edba1476f163ac5de
| 4,472
|
py
|
Python
|
helper/nuker.py
|
AmitGamingKing/xyno-selfbot
|
12c59bf654066e0fb5fecf854653adf0cda1e3e0
|
[
"MIT"
] | 9
|
2021-09-28T08:06:26.000Z
|
2022-01-23T22:20:43.000Z
|
helper/nuker.py
|
AmitGamingKing/xyno-selfbot
|
12c59bf654066e0fb5fecf854653adf0cda1e3e0
|
[
"MIT"
] | null | null | null |
helper/nuker.py
|
AmitGamingKing/xyno-selfbot
|
12c59bf654066e0fb5fecf854653adf0cda1e3e0
|
[
"MIT"
] | 2
|
2021-12-02T20:42:22.000Z
|
2022-01-06T00:43:43.000Z
|
from helper import menu
import os
import asyncio
from colorama import init
init()
from colorama import Fore, Style
import json
from cfg.cfg import get_value
from aioconsole import ainput
async def ban_all(client):
try:
os.system('cls')
print((Fore.RED + Style.BRIGHT) + '< ' + str(get_value('botname')).upper() + ' SELFBOT CONTROL PANEL ' + ' >')
print((Fore.BLUE + Style.BRIGHT) + "\nMASS BAN TOOL")
cid = int(await ainput('Enter Channel ID Of The Server To Ban: '))
channel = await client.fetch_channel(cid)
guild = channel.guild
botname = str(get_value('botname'))
confirmation = str(await ainput('[WARNING] Are You Sure You Want To Ban All Members From '+guild.name+'? (Yes/No): '))
if confirmation == 'yes':
print((Fore.YELLOW + Style.BRIGHT) + "[STARTING] Starting The Process, This May Take A While...")
print((Fore.YELLOW + Style.BRIGHT) + "[STARTING] Starting Banning Members...")
for member in guild.members:
try:
await member.ban(reason="Banned By "+botname)
except:
continue
print((Fore.GREEN + Style.BRIGHT) + "[SUCCESS] Banned All Possible Members.")
elif confirmation == 'no':
print((Fore.RED + Style.BRIGHT) + "[ABORT] Stopping This Action & Going Back To Main Menu In 5 Seconds...")
await asyncio.sleep(5.0)
await menu.show_menu(client)
else:
raise Exception("Invalid Confirmation Answer.")
except Exception as e:
print((Fore.RED + Style.BRIGHT) + "[ERROR] " + str(e))
await ainput("PRESS ENTER TO RESTART FUNCTION.")
await ban_all(client)
async def nuke(client):
try:
os.system('cls')
print((Fore.RED + Style.BRIGHT) + '< ' + str(get_value('botname')).upper() + ' SELFBOT CONTROL PANEL ' + ' >')
print((Fore.BLUE + Style.BRIGHT) + "\nSERVER NUKER TOOL")
cid = int(await ainput('Enter Channel ID Of The Server To Nuke: '))
channel = await client.fetch_channel(cid)
guild = channel.guild
botname = str(get_value('botname'))
confirmation = str(await ainput('[WARNING] Are You Sure You Want To Nuke '+guild.name+'? This Action Will Attempt To Ban All Possible Members, Delete All Channels & Roles (Yes/No): '))
if confirmation == 'yes':
print((Fore.YELLOW + Style.BRIGHT) + "[STARTING] Starting The Process, This May Take A While...")
try:
with open('./data/icons/nuke.jpg', 'rb') as image:
await guild.edit(icon=image.read(), banner=None, splash=None, name="Nuked By "+botname)
except:
pass
for c in guild.channels:
try:
await c.delete()
except:
continue
print((Fore.GREEN + Style.BRIGHT) + "[SUCCESS] Deleted All Possible Channels.")
print((Fore.YELLOW + Style.BRIGHT) + "[STARTING] Starting Banning Members...")
for member in guild.members:
try:
await member.ban(reason="Nuked By "+botname)
except:
continue
print((Fore.GREEN + Style.BRIGHT) + "[SUCCESS] Banned All Possible Members.")
print((Fore.YELLOW + Style.BRIGHT) + "[STARTING] Starting Roles Deletion...")
for role in guild.roles:
try:
await role.delete()
except:
continue
print((Fore.GREEN + Style.BRIGHT) + "[SUCCESS] Deleted All Possible Roles.")
await client.leave_guild(guild.id)
await ainput("[DONE] NUKED SERVER SUCCESSFULLY! PRESS ENTER TO RETURN MAIN MENU.")
await menu.show_menu(client)
elif confirmation == 'no':
print((Fore.RED + Style.BRIGHT) + "[ABORT] Stopping This Action & Going Back To Main Menu In 5 Seconds...")
await asyncio.sleep(5.0)
await menu.show_menu(client)
else:
raise Exception("Invalid Confirmation Answer.")
except Exception as e:
print((Fore.RED + Style.BRIGHT) + "[ERROR] " + str(e))
await ainput("PRESS ENTER TO RESTART FUNCTION.")
await nuke(client)
| 49.142857
| 193
| 0.560152
| 508
| 4,472
| 4.905512
| 0.261811
| 0.061396
| 0.028892
| 0.040931
| 0.745987
| 0.736758
| 0.736758
| 0.719904
| 0.719904
| 0.719904
| 0
| 0.001985
| 0.32424
| 4,472
| 91
| 194
| 49.142857
| 0.822634
| 0
| 0
| 0.625
| 0
| 0.011364
| 0.270591
| 0.004791
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.011364
| 0.090909
| 0
| 0.090909
| 0.193182
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c54c5117c8891599f8806dc8d3107a5d9d7f0037
| 168
|
py
|
Python
|
allure-pytest/test/steps/outside/conftest.py
|
vdsbenoit/allure-python
|
7b56b031c42369dd73844105382e9ceb9a88d6cd
|
[
"Apache-2.0"
] | 1
|
2021-02-19T21:00:11.000Z
|
2021-02-19T21:00:11.000Z
|
allure-pytest/test/steps/outside/conftest.py
|
vdsbenoit/allure-python
|
7b56b031c42369dd73844105382e9ceb9a88d6cd
|
[
"Apache-2.0"
] | null | null | null |
allure-pytest/test/steps/outside/conftest.py
|
vdsbenoit/allure-python
|
7b56b031c42369dd73844105382e9ceb9a88d6cd
|
[
"Apache-2.0"
] | 1
|
2020-08-05T05:40:44.000Z
|
2020-08-05T05:40:44.000Z
|
import allure
import pytest
@allure.step('step in conftest.py')
def conftest_step():
pass
@pytest.fixture
def fixture_with_conftest_step():
conftest_step()
| 12.923077
| 35
| 0.744048
| 23
| 168
| 5.217391
| 0.478261
| 0.3
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154762
| 168
| 12
| 36
| 14
| 0.84507
| 0
| 0
| 0
| 0
| 0
| 0.113095
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.125
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
c55fffd7d66a28787f88ddc2b61f4be212080934
| 63
|
py
|
Python
|
hiBrad.py
|
franTarkenton/gitdemo2
|
7c73387fa558c31eea82055f6608d53f5288dad4
|
[
"Apache-2.0"
] | null | null | null |
hiBrad.py
|
franTarkenton/gitdemo2
|
7c73387fa558c31eea82055f6608d53f5288dad4
|
[
"Apache-2.0"
] | null | null | null |
hiBrad.py
|
franTarkenton/gitdemo2
|
7c73387fa558c31eea82055f6608d53f5288dad4
|
[
"Apache-2.0"
] | null | null | null |
print("I hate .")
print('actually i don\'t')
print("I'm a da")
| 15.75
| 26
| 0.603175
| 13
| 63
| 2.923077
| 0.692308
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 63
| 3
| 27
| 21
| 0.703704
| 0
| 0
| 0
| 0
| 0
| 0.492063
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
3d7f4e6087aaa8385ce934c9b12d5fb1a755547c
| 212
|
py
|
Python
|
v3/const.py
|
chaurwu/py-category
|
5a358d3d4f64edcd7e74c956b11ae04a6196a775
|
[
"MIT"
] | null | null | null |
v3/const.py
|
chaurwu/py-category
|
5a358d3d4f64edcd7e74c956b11ae04a6196a775
|
[
"MIT"
] | null | null | null |
v3/const.py
|
chaurwu/py-category
|
5a358d3d4f64edcd7e74c956b11ae04a6196a775
|
[
"MIT"
] | null | null | null |
from functor import *
def const():
class Const(Functor):
def join(self):
return Const.const
def map(self, f):
return self
Const.const = Const()
return Const
| 16.307692
| 30
| 0.54717
| 25
| 212
| 4.64
| 0.44
| 0.258621
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.363208
| 212
| 12
| 31
| 17.666667
| 0.859259
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.111111
| 0.222222
| 0.888889
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
3d8870332918d0f34faf5a6dd99c558ddeb0e7b1
| 130
|
py
|
Python
|
devel/apps/__init__.py
|
riscoscloverleaf/chatcube
|
a7184ef76108f90a74a88d3183a3d21c1249a0f5
|
[
"MIT"
] | null | null | null |
devel/apps/__init__.py
|
riscoscloverleaf/chatcube
|
a7184ef76108f90a74a88d3183a3d21c1249a0f5
|
[
"MIT"
] | null | null | null |
devel/apps/__init__.py
|
riscoscloverleaf/chatcube
|
a7184ef76108f90a74a88d3183a3d21c1249a0f5
|
[
"MIT"
] | null | null | null |
# from uwsgi_tasks import set_uwsgi_callbacks, django_setup
#
# django_setup()
#
# set_uwsgi_callbacks()
#
# from ik import tasks
| 16.25
| 59
| 0.769231
| 18
| 130
| 5.166667
| 0.5
| 0.172043
| 0.365591
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138462
| 130
| 7
| 60
| 18.571429
| 0.830357
| 0.884615
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3da8662c1ddaf8783016dd3b8f445abd083cf782
| 4,234
|
py
|
Python
|
api/parsers/device.py
|
yanchen01/patient-management-platform
|
f38b45b5e2c4bbe33098440ab742723c13cae950
|
[
"MIT"
] | null | null | null |
api/parsers/device.py
|
yanchen01/patient-management-platform
|
f38b45b5e2c4bbe33098440ab742723c13cae950
|
[
"MIT"
] | null | null | null |
api/parsers/device.py
|
yanchen01/patient-management-platform
|
f38b45b5e2c4bbe33098440ab742723c13cae950
|
[
"MIT"
] | null | null | null |
from flask_restx import reqparse
from datetime import datetime
def date_type(date):
"""Parse date type"""
try:
datetime.strptime(date, "%m-%d-%Y")
except ValueError:
raise ValueError('This is not date type')
return date
# custom schema
date_type.__schema__ = {'type': 'string', 'format': 'mm-dd-yyyy'}
_devices_parser = reqparse.RequestParser()
_devices_parser.add_argument('id',
type=str,
required=True,
location=('json'),
help="This field cannot be blank.")
_devices_parser.add_argument('type',
type=str,
choices=('thermometer', 'blood_pressure', 'glucometer',
'pulse', 'scale', 'oximeter'),
required=True,
location=('json'),
help="This field cannot be blank.")
_devices_parser.add_argument('date_purchased',
type=date_type,
required=True,
location=('json'),
help="This field cannot be blank.")
_devices_parser.add_argument('firmware_version',
type=str,
required=True,
location=('json'),
help="This field cannot be blank.")
_devices_parser.add_argument('serial_num',
type=str,
required=True,
location=('json'),
help="This field cannot be blank.")
_devices_parser.add_argument('assigned_user',
type=str,
required=False,
location=('json'),
)
_devices_parser.add_argument('prescribed_doctor',
type=str,
required=False,
location=('json'),
)
_device_parser = reqparse.RequestParser()
_device_parser.add_argument('id',
type=str,
required=True,
location='args',
help="This field cannot be blank.")
_device_parser.add_argument('type',
type=str,
choices=('thermometer', 'blood_pressure', 'glucometer',
'pulse', 'scale', 'oximeter'),
required=False,
location='args',
help="This field cannot be blank.")
_device_parser.add_argument('date_purchased',
type=date_type,
required=False,
location='args',
help="This field cannot be blank.")
_device_parser.add_argument('firmware_version',
type=str,
required=False,
location='args',
help="This field cannot be blank.")
_device_parser.add_argument('serial_num',
type=str,
required=False,
location='args',
help="This field cannot be blank.")
_device_parser.add_argument('assigned_user',
type=str,
required=False,
location='args',
)
_device_parser.add_argument('prescribed_doctor',
type=str,
required=False,
location='args',
)
_user_devices_parser = reqparse.RequestParser()
_user_devices_parser.add_argument('user_id',
type=str,
required=True,
location='args',
help="This field cannot be blank.")
| 41.106796
| 84
| 0.422296
| 319
| 4,234
| 5.369906
| 0.203762
| 0.078809
| 0.148862
| 0.122008
| 0.778751
| 0.778751
| 0.76941
| 0.76941
| 0.741389
| 0.691185
| 0
| 0
| 0.491261
| 4,234
| 103
| 85
| 41.106796
| 0.795265
| 0.007086
| 0
| 0.659341
| 0
| 0
| 0.161229
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.010989
| false
| 0
| 0.021978
| 0
| 0.043956
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9ab935de899e953051f0cd247cc198d3b5c2073b
| 127
|
py
|
Python
|
app/character/__init__.py
|
ironarmchad/depths_char_sheet
|
542f969af951e9d249fe36bbd6dad147a69d9edb
|
[
"MIT"
] | null | null | null |
app/character/__init__.py
|
ironarmchad/depths_char_sheet
|
542f969af951e9d249fe36bbd6dad147a69d9edb
|
[
"MIT"
] | 1
|
2021-06-02T00:01:31.000Z
|
2021-06-02T00:01:31.000Z
|
app/character/__init__.py
|
ironarmchad/depths_char_sheet
|
542f969af951e9d249fe36bbd6dad147a69d9edb
|
[
"MIT"
] | 1
|
2019-08-01T16:55:54.000Z
|
2019-08-01T16:55:54.000Z
|
from flask import Blueprint
main = Blueprint('main', __name__, template_folder='templates')
from app.character import routes
| 21.166667
| 63
| 0.795276
| 16
| 127
| 6
| 0.75
| 0.270833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11811
| 127
| 5
| 64
| 25.4
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0.102362
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
9ac44b4f1e3ecd28fdfcaaea5ec88c89d0a0fac0
| 102
|
py
|
Python
|
apps/cooggerapp/views/home/__init__.py
|
coogger/coogger
|
9e5e3ca172d8a14272948284a6822000b119119c
|
[
"MIT"
] | 48
|
2018-04-13T13:00:10.000Z
|
2020-03-17T23:35:23.000Z
|
core/cooggerapp/views/home/__init__.py
|
emregeldegul/coogger
|
9aaf2d5904438d91b9bb403ce3c739a5431bdaac
|
[
"MIT"
] | 77
|
2018-03-25T13:17:12.000Z
|
2020-08-11T08:24:49.000Z
|
core/cooggerapp/views/home/__init__.py
|
emregeldegul/coogger
|
9aaf2d5904438d91b9bb403ce3c739a5431bdaac
|
[
"MIT"
] | 35
|
2018-03-30T21:43:21.000Z
|
2020-08-11T05:51:46.000Z
|
from .feed import Feed
from .index import Index
from .report import Report
from .search import Search
| 20.4
| 26
| 0.803922
| 16
| 102
| 5.125
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156863
| 102
| 4
| 27
| 25.5
| 0.953488
| 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
| 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
| 5
|
b1220b74c3e30d4077fe00cbf9ba1f189647d675
| 312
|
py
|
Python
|
pydeflate/config.py
|
jm-rivera/pydeflate
|
3e95950124de4bdcfb7fdcefdc91cbe1b2c32935
|
[
"MIT"
] | null | null | null |
pydeflate/config.py
|
jm-rivera/pydeflate
|
3e95950124de4bdcfb7fdcefdc91cbe1b2c32935
|
[
"MIT"
] | null | null | null |
pydeflate/config.py
|
jm-rivera/pydeflate
|
3e95950124de4bdcfb7fdcefdc91cbe1b2c32935
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
class Paths:
def __init__(self, project_dir):
self.project_dir = project_dir
@property
def data(self):
return os.path.join(self.project_dir, "pydeflate", "data")
paths = Paths(os.path.dirname(os.path.dirname(__file__)))
| 17.333333
| 66
| 0.650641
| 43
| 312
| 4.44186
| 0.55814
| 0.209424
| 0.219895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008
| 0.198718
| 312
| 17
| 67
| 18.352941
| 0.756
| 0.137821
| 0
| 0
| 0
| 0
| 0.048689
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0.125
| 0.625
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
b150f5ed30481025c0df22f99b88715661e23770
| 106
|
py
|
Python
|
src/examples/incomplete/nn_topology_object_oriented/Event.py
|
calebebrim/GeneticAlgorithm
|
93475adfac4bba145054e1bbb3acfad77505fa85
|
[
"MIT"
] | null | null | null |
src/examples/incomplete/nn_topology_object_oriented/Event.py
|
calebebrim/GeneticAlgorithm
|
93475adfac4bba145054e1bbb3acfad77505fa85
|
[
"MIT"
] | null | null | null |
src/examples/incomplete/nn_topology_object_oriented/Event.py
|
calebebrim/GeneticAlgorithm
|
93475adfac4bba145054e1bbb3acfad77505fa85
|
[
"MIT"
] | null | null | null |
class Event:
# TODO: This gonna abstract the concept of row data in traditional ML approach
pass
| 21.2
| 82
| 0.726415
| 16
| 106
| 4.8125
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.245283
| 106
| 4
| 83
| 26.5
| 0.9625
| 0.716981
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
b1891bc519c10ead165837b59fa9745631517b9c
| 147
|
py
|
Python
|
main.py
|
LG95/xy-inc
|
7ddf667f961b9f22d55e99f4a07fd66952fdbe10
|
[
"MIT"
] | null | null | null |
main.py
|
LG95/xy-inc
|
7ddf667f961b9f22d55e99f4a07fd66952fdbe10
|
[
"MIT"
] | null | null | null |
main.py
|
LG95/xy-inc
|
7ddf667f961b9f22d55e99f4a07fd66952fdbe10
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
from rest import serve
from service import PointOfInterestServices as Services
if __name__ == "__main__": serve(Services)
| 21
| 55
| 0.789116
| 19
| 147
| 5.684211
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007813
| 0.129252
| 147
| 6
| 56
| 24.5
| 0.835938
| 0.142857
| 0
| 0
| 0
| 0
| 0.064
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
490a9174e2110eae377e2208abd2cdb5dd690345
| 94
|
py
|
Python
|
web/impact/impact/tests/contexts/__init__.py
|
masschallenge/impact-api
|
81075ced8fcc95de9390dd83c15e523e67fc48c0
|
[
"MIT"
] | 5
|
2017-10-19T15:11:52.000Z
|
2020-03-08T07:16:21.000Z
|
web/impact/impact/tests/contexts/__init__.py
|
masschallenge/impact-api
|
81075ced8fcc95de9390dd83c15e523e67fc48c0
|
[
"MIT"
] | 182
|
2017-06-21T19:32:13.000Z
|
2021-03-22T13:38:16.000Z
|
web/impact/impact/tests/contexts/__init__.py
|
masschallenge/impact-api
|
81075ced8fcc95de9390dd83c15e523e67fc48c0
|
[
"MIT"
] | 1
|
2018-06-23T11:53:18.000Z
|
2018-06-23T11:53:18.000Z
|
# MIT License
# Copyright (c) 2017 MassChallenge, Inc.
from .user_context import UserContext
| 18.8
| 40
| 0.776596
| 12
| 94
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0.148936
| 94
| 4
| 41
| 23.5
| 0.85
| 0.531915
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
492f45e4933acdad1a9fe46a9bf40380cb4a2800
| 157
|
py
|
Python
|
heron/instance/src/python/instance/__init__.py
|
ajorgensen/heron
|
6430c51a4a6030e93018e0ed40e5936a64317636
|
[
"Apache-2.0"
] | 2
|
2016-07-04T07:10:31.000Z
|
2018-03-28T16:59:02.000Z
|
heron/instance/src/python/instance/__init__.py
|
ajorgensen/heron
|
6430c51a4a6030e93018e0ed40e5936a64317636
|
[
"Apache-2.0"
] | null | null | null |
heron/instance/src/python/instance/__init__.py
|
ajorgensen/heron
|
6430c51a4a6030e93018e0ed40e5936a64317636
|
[
"Apache-2.0"
] | 1
|
2017-06-05T17:55:45.000Z
|
2017-06-05T17:55:45.000Z
|
'''single thread heron instance module'''
__all__ = ['st_heron_instance.py', 'st_stmgr_client.py']
from .st_heron_instance import SingleThreadHeronInstance
| 31.4
| 56
| 0.802548
| 20
| 157
| 5.8
| 0.65
| 0.336207
| 0.258621
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089172
| 157
| 4
| 57
| 39.25
| 0.811189
| 0.22293
| 0
| 0
| 0
| 0
| 0.327586
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
b8ef3b40c61cb8121dbbfa8554fbca7b7689980f
| 110
|
py
|
Python
|
tests/utils/setup_constants.py
|
amitmalav/service-fabrik-backup-restore
|
5c1c46de8c9aba618906dda7f91e3c210cbf49c5
|
[
"Apache-2.0"
] | null | null | null |
tests/utils/setup_constants.py
|
amitmalav/service-fabrik-backup-restore
|
5c1c46de8c9aba618906dda7f91e3c210cbf49c5
|
[
"Apache-2.0"
] | null | null | null |
tests/utils/setup_constants.py
|
amitmalav/service-fabrik-backup-restore
|
5c1c46de8c9aba618906dda7f91e3c210cbf49c5
|
[
"Apache-2.0"
] | null | null | null |
import os
#setting environment varibale before importing module
os.environ['SF_IAAS_CLIENT_MAX_RETRY'] = '1'
| 27.5
| 54
| 0.809091
| 16
| 110
| 5.3125
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010204
| 0.109091
| 110
| 4
| 55
| 27.5
| 0.857143
| 0.472727
| 0
| 0
| 0
| 0
| 0.438596
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
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