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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8fa88dd25683faeed42a798e1cd0dd1a0071879d
| 3,018
|
py
|
Python
|
tests/test_blob_api.py
|
digirati-co-uk/hello
|
093c07f836168c09a8f5ff18e0ceb60853d7ec94
|
[
"MIT"
] | null | null | null |
tests/test_blob_api.py
|
digirati-co-uk/hello
|
093c07f836168c09a8f5ff18e0ceb60853d7ec94
|
[
"MIT"
] | null | null | null |
tests/test_blob_api.py
|
digirati-co-uk/hello
|
093c07f836168c09a8f5ff18e0ceb60853d7ec94
|
[
"MIT"
] | null | null | null |
import json
def test_add_retrieve(app):
"""
Test adding a blob
:param app: Flask applicaiton
"""
data = {
'payload': 'test payload'
}
client = app.test_client()
post_response = client.post('/blob/blobs',
data=json.dumps(data),
content_type='application/json'
)
assert post_response.status_code == 201
blob_id = json.loads(post_response.data.decode()).get('blob_id')
get_response = client.get(f'/blob/blobs/{blob_id}')
assert get_response.status_code == 200
response_payload = json.loads(get_response.data.decode()).get('payload')
assert response_payload == data['payload']
def test_get_all(app):
"""
Test getting multiple blobs
:param app: Flask applicaiton
"""
data = [
{
'payload': 'test payload'
},
{
'payload': 'second payload'
},
{
'payload': 'third payload'
}
]
client = app.test_client()
for blob in data:
post_response = client.post('/blob/blobs',
data=json.dumps(blob),
content_type='application/json'
)
assert post_response.status_code == 201
blob_id = json.loads(post_response.data.decode()).get('blob_id')
blob['blob_id'] = blob_id
get_response = client.get(f'/blob/blobs')
assert get_response.status_code == 200
response_data = json.loads(get_response.data.decode())
assert response_data == data
def test_missing_payload(app):
"""
Test adding a blob without a payload
:param app: Flask applicaiton
"""
data = {
# empty!
}
client = app.test_client()
post_response = client.post('/blob/blobs',
data=json.dumps(data),
content_type='application/json'
)
assert post_response.status_code == 400
def test_delete(app):
"""
Test deleting a blob
:param app: Flask applicaiton
"""
data = {
'payload': 'test payload'
}
client = app.test_client()
post_response = client.post('/blob/blobs',
data=json.dumps(data),
content_type='application/json'
)
assert post_response.status_code == 201
blob_id = json.loads(post_response.data.decode()).get('blob_id')
get_response = client.get(f'/blob/blobs/{blob_id}')
assert get_response.status_code == 200
response_payload = json.loads(get_response.data.decode()).get('payload')
assert response_payload == data['payload']
delete_rsponse = client.delete(f'/blob/blobs/{blob_id}')
assert delete_rsponse.status_code == 204
reget_response = client.get(f'/blob/blobs/{blob_id}')
assert reget_response.status_code == 404
| 28.742857
| 76
| 0.558317
| 329
| 3,018
| 4.920973
| 0.151976
| 0.044472
| 0.088944
| 0.064855
| 0.810377
| 0.757875
| 0.725757
| 0.702285
| 0.673873
| 0.600371
| 0
| 0.013261
| 0.325381
| 3,018
| 104
| 77
| 29.019231
| 0.781925
| 0.076872
| 0
| 0.521739
| 0
| 0
| 0.131783
| 0.031008
| 0
| 0
| 0
| 0
| 0.173913
| 1
| 0.057971
| false
| 0
| 0.014493
| 0
| 0.072464
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
8fae62e11722045da4dc017b59f53c9459c3edb3
| 247
|
py
|
Python
|
modules/__init__.py
|
w-renk/p2e-monbuild
|
1660b5a690e9d2c834599d811de19dbb410a63d6
|
[
"MIT"
] | null | null | null |
modules/__init__.py
|
w-renk/p2e-monbuild
|
1660b5a690e9d2c834599d811de19dbb410a63d6
|
[
"MIT"
] | 2
|
2021-02-03T04:22:47.000Z
|
2021-02-03T04:36:52.000Z
|
modules/__init__.py
|
w-renk/p2e-monbuild
|
1660b5a690e9d2c834599d811de19dbb410a63d6
|
[
"MIT"
] | null | null | null |
from .types import SelectTypes
from .templates import SelectTemplateGraft
from .scripts import ClearScreen, ResizeWindow
from .statBlock import StatBlock
__all__ = ['SelectTypes', 'SelectTemplateGraft', 'ClearScreen', 'ResizeWindow', 'StatBlock']
| 41.166667
| 92
| 0.813765
| 23
| 247
| 8.565217
| 0.478261
| 0.233503
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097166
| 247
| 6
| 92
| 41.166667
| 0.883408
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8fba85e72c80fd8d4574b5ab4b981310c563ed25
| 93
|
py
|
Python
|
enthought/enable/tools/resize_tool.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/enable/tools/resize_tool.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/enable/tools/resize_tool.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from enable.tools.resize_tool import *
| 23.25
| 38
| 0.83871
| 13
| 93
| 5.538462
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11828
| 93
| 3
| 39
| 31
| 0.878049
| 0.129032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8ffdd0de6568d2260b2710d3f346322d7dfa50aa
| 99
|
py
|
Python
|
tonks/ensemble/models/__init__.py
|
vanderveld/tonks
|
e87afbd9614b276b443b4a7527fd1fda01a8be4c
|
[
"BSD-3-Clause"
] | null | null | null |
tonks/ensemble/models/__init__.py
|
vanderveld/tonks
|
e87afbd9614b276b443b4a7527fd1fda01a8be4c
|
[
"BSD-3-Clause"
] | null | null | null |
tonks/ensemble/models/__init__.py
|
vanderveld/tonks
|
e87afbd9614b276b443b4a7527fd1fda01a8be4c
|
[
"BSD-3-Clause"
] | null | null | null |
from tonks.ensemble.models.multi_task_ensemble import BertResnetEnsembleForMultiTaskClassification
| 49.5
| 98
| 0.929293
| 9
| 99
| 10
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040404
| 99
| 1
| 99
| 99
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
64f701a5c862dd8e84a0c0237686546f6ae34ca9
| 80
|
py
|
Python
|
cl4py/__init__.py
|
bendudson/cl4py
|
621b996f9e55538db61c164cbfe0e9b5afcaffb8
|
[
"MIT"
] | null | null | null |
cl4py/__init__.py
|
bendudson/cl4py
|
621b996f9e55538db61c164cbfe0e9b5afcaffb8
|
[
"MIT"
] | null | null | null |
cl4py/__init__.py
|
bendudson/cl4py
|
621b996f9e55538db61c164cbfe0e9b5afcaffb8
|
[
"MIT"
] | null | null | null |
from .data import List, DottedList, Quote, Cons, String
from .lisp import Lisp
| 20
| 55
| 0.7625
| 12
| 80
| 5.083333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1625
| 80
| 3
| 56
| 26.666667
| 0.910448
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8f2f83f3662c6ce5c415b557d1837fe6702f4e41
| 40
|
py
|
Python
|
slaves/exceptions.py
|
zerd05/slaves_api
|
69076316c02b0e95cff895a7bf9c2427c7fb46cf
|
[
"MIT"
] | null | null | null |
slaves/exceptions.py
|
zerd05/slaves_api
|
69076316c02b0e95cff895a7bf9c2427c7fb46cf
|
[
"MIT"
] | null | null | null |
slaves/exceptions.py
|
zerd05/slaves_api
|
69076316c02b0e95cff895a7bf9c2427c7fb46cf
|
[
"MIT"
] | null | null | null |
class SlaveIsLocked(Exception):
pass
| 20
| 31
| 0.775
| 4
| 40
| 7.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 40
| 2
| 32
| 20
| 0.911765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
8f2ffa46eaed29630108e081275c6df87772c52a
| 4,760
|
py
|
Python
|
compFactor/tables_B3.py
|
jajool/pipepy
|
5a3dff581b05fcdf1c158c7f5a372054e95a0e54
|
[
"MIT"
] | null | null | null |
compFactor/tables_B3.py
|
jajool/pipepy
|
5a3dff581b05fcdf1c158c7f5a372054e95a0e54
|
[
"MIT"
] | null | null | null |
compFactor/tables_B3.py
|
jajool/pipepy
|
5a3dff581b05fcdf1c158c7f5a372054e95a0e54
|
[
"MIT"
] | 1
|
2018-12-01T11:18:32.000Z
|
2018-12-01T11:18:32.000Z
|
from numpy import array
# These are Binary interaction parameter values for Calculation of state compression factor/Composition analysis
E_star = array([[1.0, .971640, .960644, 1.0, .994635, .708218, .931484, 1.170520, .990126, 1.0, 1.019530, .989844, 1.002350, .999268, 1.107274, .880880, .880973, .881067, .881161, 1.0, 1.0],
[.971640, 1.0, 1.022740, .970120, .945939, .746954, .902271, 1.086320, 1.005710, 1.021000, .946914, .973384, .959340, .945520] + 7 * [1.0],
[.960644, 1.022740, 1.0, .925053, .960237, .849408, .955052, 1.281790, 1.500000, 1.0, .906849, .897362, .726255, .859764, .855134, .831229, .808310, .786323, .765171, 1.0, 1.0],
[1.0, .970120, .925053, 1.0, 1.022560, .693168, .946871, 1.164460, 1.0, 1.0, 1.0, 1.013060, 1.0, 1.005320] + 7 * [1.0], [.994635, .945939, .960237, 1.022560, 1.0, 1.0, 1.0] + [1.0034787, 1.0, 1.0, 1.0, 1.004900] + 9 * [1.0], [.708218, .746954, .819408, .693168, 1.0, 1.0] + 15 * [1.0],
[.931484, .902271, .955052, .946871] + 10 * [1.0] + [1.008692, 1.010126, 1.011501, 1.012821, 1.014089, 1.0, 1.0], [1.170520, .902271, .955052, .946871, 1.034787] + 3 * [1.0] + [1.100000, 1.0, 1.300000, 1.300000] + 9 * [1.0], [.990126, 1.005710, 1.5, 1.0, 1.0, 1.0, 1.0, 1.1] + 13 * [1.0], [1.0, 1.021] + 19 * [1.0],
[1.019530, .946914, .906849, 1.0, 1.0, 1.0, 1.0, 1.3] + 13 * [1.0], [.989844, .973384, .897362, 1.013060, 1.0049, 1.0, 1.0, 1.3] + 13 * [1.0], [1.00235, .95934, .726255] + 18 * [1.0], [.999268, .94552, .859764, 1.00532] + 17 * [1.0], [1.107274, 1.0, .855134, 1.0, 1.0, 1.0, 1.008692] + 14 * [1.0],
[.880880, 1.0, .831229, 1.0, 1.0, 1.0, 1.010126] + 14 * [1.0], [.880973, 1.0, .808310, 1.0, 1.0, 1.0, 1.011501] + 14 * [1.0], [.881067, 1.0, .786323, 1.0, 1.0, 1.0, 1.012821] + 14 * [1.0], [.881161, 1.0, .765171, 1.0, 1.0, 1.0, 1.014089] + 14 * [1.0], 21 * [1.0], 21 * [1.0] ])
U = array([[1.0, .886106, .963827, 1.0, .990877, .736833, 1.156390, 1.0, 1.0, 1.0, .992291, 1.0, 1.003670, 1.302576, 1.191904, 1.205769, 1.219634, 1.233498, 1.0, 1.0],
[.886106, 1.0, .835058, .816431, .915502, 1.0, .993476, .408838, 1.0, 1.0, 1.0, .993556, 1.0, 1.0] + 7 * [1.0], [.963827, .835058, 1.0, .969870, 1.0, 1.0, 1.045290, .900000, 1.0, 1.0, 1.0, 1.0, 1.0, 1.066638, 1.077634, 1.088178, 1.098291, 1.108021, 1.0, 1.0],
[1.0, .816431, .969870, 1.0, 1.065173, 1.0, .971926, 1.616660, 1.0, 1.0, 1.250000, 1.250000, 1.250000, 1.250000 ] + 9 * [1.0], [.990877, .915502, 1.0, 1.065173] + 17 * [1.0], [.736833] + 20 * [1.0],
[1.156390, .993476, 1.045290, .971926] + 10 * [1.0] + [1.028973, 1.033754, 1.038338, 1.042735, 1.046966, 1.0, 1.0], [1.0, .408838, .900000, 1.616660] + 17 * [1.0], 21 * [1.0], [.992291] + 20 * [1.0], [1.0, 1.0, 1.0, 1.250000] + 17 * [1.0], [.992291, .993556, 1.0, 1.250000] + 17 * [1.0], [1.0, 1.0, 1.0, 1.250000] + 17 * [1.0],
[1.003670, 1.0, 1.0, 1.250000] + 17 * [1.0], [1.302576, 1.0, 1.066638, 1.0, 1.0, 1.0, 1.028973] + 14 * [1.0], [1.191904, 1.0, 1.077634, 1.0, 1.0, 1.0, 1.033754] + 14 * [1.0], [1.205769, 1.0, 1.088178, 1.0, 1.0, 1.0, 1.038338] + 14 * [1.0], [1.219634, 1.0, 1.098291, 1.0, 1.0, 1.0, 1.012821] + 14 * [1.0],
[1.233498, 1.0, 1.108021, 1.0, 1.0, 1.0, 1.046966] + 14 * [1.0], 21 * [1.0], 21 * [1.0] ])
Kij = array([[1.0, 1.003630, .995933, 1.0, 1.007619, 1.0, 1.000080, 1.023260, 1.0, 1.0, 1.0, .997596, 1.0, 1.002529, .982962, .983565, .982707, .981849, .980991, 1.0, 1.0],
[1.003630, 1.0, .982361, 1.007960, 1.0, 1.0, .942596, 1.032270] + 13 * [1.0], [.995933, .982361, 1.0, 1.008510, 1.0, 1.0, 1.007790] + 7 * [1.0] + [.910183, .895362, .881152, .867520, .854406, 1.0, 1.0],
[1.0, 1.007960, 1.008510, 1.0, 1.0, .986893, 1.0, .999969, 1.020340] + 13 * [1.0], [1.007619] + 20 * [1.0], [1.0, 1.0, 1.0, .986893] + 17 * [1.0], [1.000080, .942596, 1.007790, 1.0] + 10 * [1.0] + [.968130, .962870, .957828, .952441, .948338, 1.0, 1.0], [1.023260, 1.032270, 1.0, .999969] + 21 * [1.0], [1.023260] + 20 * [1.0],
21 * [1.0], 21 * [1.0], [.997596] + 20 * [1.0], 21 * [1.0], [1.002529] + 20 * [1.0], [.982962, 1.0, .910183, 1.0, 1.0, 1.0, .968130] + 14 * [1.0], [.983565, 1.0, .895362, 1.0, 1.0, 1.0, .962870] + 14 * [1.0], [.982707, 1.0, .881152, 1.0, 1.0, 1.0, .957828] + 14 * [1.0],
[.981849, 1.0, .867520, 1.0, 1.0, 1.0, .952441] + 14 * [1.0], [.980991, 1.0, .854406, 1.0, 1.0, 1.0, .948338] + 14 * [1.0], 21 * [1.0], 21 * [1.0] ])
G_star = array([[1.0, 1.0, .807653, 1.0, 1.0, 1.0, 1.0, 1.957310] + 13 * [1.0], [1.0, 1.0, .982746] + 18 * [1.0], [.807653, .982746, 1.0, .370296, 1.673090] + 16 * [1.0], [1.0, 1.0, .370296] + 18 * [1.0], [1.0, 1.0, 1.673090] + 18 * [1.0],
21 * [1.0], 21 * [1.0], [1.957310] + 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0], 21 * [1.0] ])
| 183.076923
| 328
| 0.529412
| 1,016
| 4,760
| 2.478346
| 0.173228
| 0.208102
| 0.191819
| 0.149325
| 0.257744
| 0.222002
| 0.168388
| 0.120334
| 0.097697
| 0.057585
| 0
| 0.596823
| 0.166807
| 4,760
| 25
| 329
| 190.4
| 0.038074
| 0.023109
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.047619
| 0
| 0.047619
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
8f7b7dd4ff1c81be464f9f04b6c7872e27cf6385
| 117
|
py
|
Python
|
mglearn/plot_helpers.py
|
data-ml/advanced_training
|
84d78b60161d08b0f212a14f10f80c6bdc346998
|
[
"BSD-2-Clause"
] | 132
|
2016-06-06T17:30:23.000Z
|
2021-11-16T13:51:36.000Z
|
mglearn/plot_helpers.py
|
afcarl/advanced_training
|
1ef9246e2f70b82295bb3c4dc9a283e32fd427fb
|
[
"BSD-2-Clause"
] | 1
|
2017-03-08T19:49:13.000Z
|
2017-03-08T19:55:03.000Z
|
mglearn/plot_helpers.py
|
afcarl/advanced_training
|
1ef9246e2f70b82295bb3c4dc9a283e32fd427fb
|
[
"BSD-2-Clause"
] | 47
|
2016-06-07T09:39:22.000Z
|
2021-09-01T01:45:44.000Z
|
from matplotlib.colors import ListedColormap
cm3 = ListedColormap(['b', 'r', 'g'])
cm2 = ListedColormap(['b', 'r'])
| 23.4
| 44
| 0.675214
| 14
| 117
| 5.642857
| 0.714286
| 0.379747
| 0.405063
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019417
| 0.119658
| 117
| 4
| 45
| 29.25
| 0.747573
| 0
| 0
| 0
| 0
| 0
| 0.042735
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
56da15e45202435e9f0e88c52af800a58f544ea5
| 66
|
py
|
Python
|
api_miners/__init__.py
|
paulnagy/engine_of_impact
|
83cde5d5143c7f36b7e645bf3b710aa6ee38acba
|
[
"Apache-2.0"
] | null | null | null |
api_miners/__init__.py
|
paulnagy/engine_of_impact
|
83cde5d5143c7f36b7e645bf3b710aa6ee38acba
|
[
"Apache-2.0"
] | null | null | null |
api_miners/__init__.py
|
paulnagy/engine_of_impact
|
83cde5d5143c7f36b7e645bf3b710aa6ee38acba
|
[
"Apache-2.0"
] | null | null | null |
from . import youtube
from . import pubmed
from . import key_vault
| 22
| 23
| 0.787879
| 10
| 66
| 5.1
| 0.6
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 66
| 3
| 23
| 22
| 0.927273
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7134b746f0a75db2a6626d073b1e6ed543e5baa7
| 37
|
py
|
Python
|
src/ui.py
|
joaosoares/xray_teeth_detection
|
2385038e1fa609988eb2dfef11c0fff04815b23f
|
[
"MIT"
] | 3
|
2018-08-16T11:52:53.000Z
|
2021-05-18T13:12:44.000Z
|
src/ui.py
|
joaosoares/xray_teeth_detection
|
2385038e1fa609988eb2dfef11c0fff04815b23f
|
[
"MIT"
] | null | null | null |
src/ui.py
|
joaosoares/xray_teeth_detection
|
2385038e1fa609988eb2dfef11c0fff04815b23f
|
[
"MIT"
] | null | null | null |
import cv2
import numpy as numpy
d
| 6.166667
| 21
| 0.756757
| 7
| 37
| 4
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035714
| 0.243243
| 37
| 5
| 22
| 7.4
| 0.964286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
85322bae0309db6fbbbda25e1683816ce426167b
| 678
|
py
|
Python
|
applications/popart/faster-rcnn/IPU/ipu_tensor.py
|
payoto/graphcore_examples
|
46d2b7687b829778369fc6328170a7b14761e5c6
|
[
"MIT"
] | 260
|
2019-11-18T01:50:00.000Z
|
2022-03-28T23:08:53.000Z
|
applications/popart/faster-rcnn/IPU/ipu_tensor.py
|
payoto/graphcore_examples
|
46d2b7687b829778369fc6328170a7b14761e5c6
|
[
"MIT"
] | 27
|
2020-01-28T23:07:50.000Z
|
2022-02-14T15:37:06.000Z
|
applications/popart/faster-rcnn/IPU/ipu_tensor.py
|
payoto/graphcore_examples
|
46d2b7687b829778369fc6328170a7b14761e5c6
|
[
"MIT"
] | 56
|
2019-11-18T02:13:12.000Z
|
2022-02-28T14:36:09.000Z
|
# Copyright (c) 2021 Graphcore Ltd. All rights reserved.
# Written by Hu Di
import numpy as np
from config import cfg
import gcop
mappin_gc2npy = {
'float': np.float32,
'float32': np.float32,
'float16': np.float16,
'int8': np.int8,
'int16': np.int16,
'int32': np.int32,
'int64': np.int64,
'uint8': np.uint8,
'uint16': np.uint16,
'uint32': np.uint32,
'bool': np.bool,
'FLOAT': np.float32,
'FLOAT32': np.float32,
'FLOAT16': np.float16,
'INT8': np.int8,
'INT16': np.int16,
'INT32': np.int32,
'INT64': np.int64,
'UINT8': np.uint8,
'UINT16': np.uint16,
'UINT32': np.uint32,
'BOOL': np.bool,
}
| 21.1875
| 56
| 0.585546
| 90
| 678
| 4.4
| 0.366667
| 0.090909
| 0.070707
| 0.106061
| 0.717172
| 0.717172
| 0.717172
| 0.717172
| 0.717172
| 0.717172
| 0
| 0.141473
| 0.238938
| 678
| 31
| 57
| 21.870968
| 0.625969
| 0.10472
| 0
| 0
| 0
| 0
| 0.195364
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
853945b93ecaf42da81e8f1cd6329f16a61d785a
| 90
|
py
|
Python
|
optfolio/utils.py
|
marekgalovic/optfolio
|
9e6f58191fb578fd33888ebf4bda95f3fe384682
|
[
"Apache-2.0"
] | 4
|
2020-08-17T23:19:17.000Z
|
2022-02-12T00:46:36.000Z
|
optfolio/utils.py
|
marekgalovic/optfolio
|
9e6f58191fb578fd33888ebf4bda95f3fe384682
|
[
"Apache-2.0"
] | 1
|
2020-08-18T05:33:12.000Z
|
2020-08-18T07:01:31.000Z
|
optfolio/utils.py
|
marekgalovic/optfolio
|
9e6f58191fb578fd33888ebf4bda95f3fe384682
|
[
"Apache-2.0"
] | 1
|
2020-12-13T06:44:59.000Z
|
2020-12-13T06:44:59.000Z
|
import numba as nb
@nb.jit(nopython=True)
def is_close_to_zero(x):
return x <= 1e-8
| 12.857143
| 24
| 0.688889
| 18
| 90
| 3.277778
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027397
| 0.188889
| 90
| 6
| 25
| 15
| 0.780822
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
856afe23f609569d6d373f8c07336c5f66b963ce
| 323
|
py
|
Python
|
exercicios/decisao04.py
|
cesarmmzs/python
|
4a70d8e3cb6846bdda69fdbeed5bc05f75d3246d
|
[
"MIT"
] | null | null | null |
exercicios/decisao04.py
|
cesarmmzs/python
|
4a70d8e3cb6846bdda69fdbeed5bc05f75d3246d
|
[
"MIT"
] | null | null | null |
exercicios/decisao04.py
|
cesarmmzs/python
|
4a70d8e3cb6846bdda69fdbeed5bc05f75d3246d
|
[
"MIT"
] | null | null | null |
letra=str(input('Digite uma letra: '))
if letra==('a') or letra==('e') or letra==('i') or letra==('o') or letra==('u'):
print('Esta letra é uma vogal')
elif letra==('A') or letra==('E') or letra==('I') or letra==('O') or letra==('U'):
print('Esta letra é uma vogal')
else:
print('Esta letra é uma consoante')
| 32.3
| 82
| 0.575851
| 55
| 323
| 3.381818
| 0.345455
| 0.301075
| 0.225806
| 0.241935
| 0.752688
| 0.655914
| 0.655914
| 0.655914
| 0.655914
| 0.655914
| 0
| 0
| 0.167183
| 323
| 10
| 83
| 32.3
| 0.69145
| 0
| 0
| 0.285714
| 0
| 0
| 0.302469
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.428571
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
85a37509173b3ad67a327e6521de8792003fd368
| 283
|
py
|
Python
|
models/models.py
|
isstek/clientmanagement
|
26bd6bbd974f24211dd0ae4b1c75ee8e4b150767
|
[
"MIT"
] | null | null | null |
models/models.py
|
isstek/clientmanagement
|
26bd6bbd974f24211dd0ae4b1c75ee8e4b150767
|
[
"MIT"
] | 11
|
2019-05-02T20:10:16.000Z
|
2022-02-10T07:10:25.000Z
|
models/models.py
|
isstek/clientmanagement
|
26bd6bbd974f24211dd0ae4b1c75ee8e4b150767
|
[
"MIT"
] | 2
|
2020-11-04T03:05:23.000Z
|
2020-11-05T08:14:14.000Z
|
from models import client
from models import computers
from models import networkequipment
from models import person
from models import printer
from models import router
from models import updates
from models import ticket
from models.email import mailbox
# Create your models here.
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| 35
| 0.844523
| 41
| 283
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| 0.535565
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| 10
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|
0
| 5
|
a4105295a6019ad49b802f11f7e62060ba7ab71f
| 10,905
|
py
|
Python
|
Pointconv/models/Pointconv/PointConv_fixsample.py
|
ada-shen/utility
|
6bc9520951276d3d1460796509022704323d9fca
|
[
"MIT"
] | 2
|
2021-07-16T10:30:08.000Z
|
2021-12-28T03:35:27.000Z
|
Pointconv/models/Pointconv/PointConv_fixsample.py
|
ada-shen/utility
|
6bc9520951276d3d1460796509022704323d9fca
|
[
"MIT"
] | null | null | null |
Pointconv/models/Pointconv/PointConv_fixsample.py
|
ada-shen/utility
|
6bc9520951276d3d1460796509022704323d9fca
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import numpy as np
import tensorflow as tf
import os
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(BASE_DIR, 'utils'))
sys.path.append(os.path.join(BASE_DIR, '../..', 'tf_ops/3d_interpolation'))
sys.path.append(os.path.join(BASE_DIR, '../..', 'tf_ops/grouping'))
from tf_interpolate import three_nn, three_interpolate
import tf_grouping
import pointconv_fixsample, pointconv_util
import tf_util
def unite_sample_group(xyz, npoint):
ori_size = int(xyz.get_shape()[0].value // 2)
sample_xyz = tf.gather(xyz,[i for i in range(ori_size)])
center_xyz, new_xyz = pointconv_fixsample.sampling(npoint, xyz, sample_xyz)
sample_xyz = tf.concat((sample_xyz, sample_xyz), axis=0)
return new_xyz, sample_xyz, center_xyz
def weight_net_hidden(xyz, hidden_units, scope, is_training, bn_decay=None, weight_decay = None, activation_fn=tf.nn.relu):
with tf.variable_scope(scope) as sc:
net = xyz
for i, num_hidden_units in enumerate(hidden_units):
net = tf_util.conv2d(net, num_hidden_units, [1, 1],
padding = 'VALID', stride=[1, 1],
bn = True, is_training = is_training, activation_fn=activation_fn,
scope = 'wconv%d'%(i), bn_decay=bn_decay, weight_decay = weight_decay)
return net
def weight_net(xyz, hidden_units, scope, is_training, bn_decay=None, weight_decay = None, activation_fn=tf.nn.relu):
with tf.variable_scope(scope) as sc:
net = xyz
for i, num_hidden_units in enumerate(hidden_units):
if i != len(hidden_units) -1:
net = tf_util.conv2d(net, num_hidden_units, [1, 1],
padding = 'VALID', stride=[1, 1],
bn = True, is_training = is_training, activation_fn=activation_fn,
scope = 'wconv%d'%(i), bn_decay=bn_decay, weight_decay = weight_decay)
else:
net = tf_util.conv2d(net, num_hidden_units, [1, 1],
padding = 'VALID', stride=[1, 1],
bn = False, is_training = is_training, activation_fn=None,
scope = 'wconv%d'%(i), bn_decay=bn_decay, weight_decay = weight_decay)
#net = tf_util.dropout(net, keep_prob=0.5, is_training=is_training, scope='wconv_dp%d'%(i))
return net
def nonlinear_transform(data_in, mlp, scope, is_training, bn_decay=None, weight_decay = None, activation_fn = tf.nn.relu):
with tf.variable_scope(scope) as sc:
net = data_in
l = len(mlp)
if l > 1:
for i, out_ch in enumerate(mlp[0:(l-1)]):
net = tf_util.conv2d(net, out_ch, [1, 1],
padding = 'VALID', stride=[1, 1],
bn = True, is_training = is_training, activation_fn=tf.nn.relu,
scope = 'nonlinear%d'%(i), bn_decay=bn_decay, weight_decay = weight_decay)
#net = tf_util.dropout(net, keep_prob=0.5, is_training=is_training, scope='dp_nonlinear%d'%(i))
net = tf_util.conv2d(net, mlp[-1], [1, 1],
padding = 'VALID', stride=[1, 1],
bn = False, is_training = is_training,
scope = 'nonlinear%d'%(l-1), bn_decay=bn_decay,
activation_fn=tf.nn.sigmoid, weight_decay = weight_decay)
return net
def feature_encoding_layer(xyz, feature, npoint, radius, sigma, K, mlp, is_training, bn_decay, weight_decay, scope, end_points, bn=True, use_xyz=True):
''' Input:
xyz: (batch_size, ndataset, 3) TF tensor
feature: (batch_size, ndataset, channel) TF tensor
npoint: int32 -- #points sampled in farthest point sampling
sigma: float32 -- KDE bandwidth
K: int32 -- how many points in each local region
mlp: list of int32 -- output size for MLP on each point
use_xyz: bool, if True concat XYZ with local point features, otherwise just use point features
Return:
new_xyz: (batch_size, npoint, 3) TF tensor
new_points: (batch_size, npoint, mlp[-1] or mlp2[-1]) TF tensor
'''
with tf.variable_scope(scope) as sc:
num_points = xyz.get_shape()[1]
if num_points == npoint:
_, sample_xyz, _ = unite_sample_group(xyz, npoint)
new_xyz = sample_xyz
center_xyz = xyz
else:
new_xyz, sample_xyz, center_xyz = unite_sample_group(xyz, npoint)
grouped_xyz, grouped_feature, idx = pointconv_fixsample.grouping(feature, K, xyz, new_xyz, sample_xyz, center_xyz)
density = pointconv_fixsample.kernel_density_estimation_ball(xyz, radius, sigma)
inverse_density = tf.div(1.0, density)
grouped_density = tf.gather_nd(inverse_density, idx) # (batch_size, npoint, nsample, 1)
# grouped_density = tf_grouping.group_point(inverse_density, idx)
inverse_max_density = tf.reduce_max(grouped_density, axis = 2, keepdims = True)
density_scale = tf.div(grouped_density, inverse_max_density)
for i, num_out_channel in enumerate(mlp):
if i != len(mlp) - 1:
grouped_feature = tf_util.conv2d(grouped_feature, num_out_channel, [1,1],
padding='VALID', stride=[1,1],
bn=bn, is_training=is_training,
scope='conv%d'%(i), bn_decay=bn_decay, weight_decay = weight_decay)
end_points[scope+'_'+str(i)] = grouped_feature
weight = weight_net_hidden(grouped_xyz, [32], scope = 'weight_net', is_training=is_training, bn_decay = bn_decay, weight_decay = weight_decay)
density_scale = nonlinear_transform(density_scale, [16, 1], scope = 'density_net', is_training=is_training, bn_decay = bn_decay, weight_decay = weight_decay)
new_points = tf.multiply(grouped_feature, density_scale)
new_points = tf.transpose(new_points, [0, 1, 3, 2])
new_points = tf.matmul(new_points, weight)
new_points = tf_util.conv2d(new_points, mlp[-1], [1,new_points.get_shape()[2].value],
padding='VALID', stride=[1,1],
bn=bn, is_training=is_training,
scope='after_conv', bn_decay=bn_decay, weight_decay = weight_decay)
new_points = tf.squeeze(new_points, [2]) # (batch_size, npoints, mlp2[-1])
return center_xyz, new_points
def feature_encoding_noweight(xyz, feature, npoint, radius, sigma, K, mlp, is_training, bn_decay, weight_decay, scope, bn=True, use_xyz=True):
''' Input:
xyz: (batch_size, ndataset, 3) TF tensor
feature: (batch_size, ndataset, channel) TF tensor
npoint: int32 -- #points sampled in farthest point sampling
sigma: float32 -- KDE bandwidth
K: int32 -- how many points in each local region
mlp: list of int32 -- output size for MLP on each point
use_xyz: bool, if True concat XYZ with local point features, otherwise just use point features
Return:
new_xyz: (batch_size, npoint, 3) TF tensor
new_points: (batch_size, npoint, mlp[-1] or mlp2[-1]) TF tensor
'''
with tf.variable_scope(scope) as sc:
num_points = xyz.get_shape()[1]
if num_points == npoint:
_, sample_xyz, _ = unite_sample_group(xyz, npoint)
new_xyz = sample_xyz
center_xyz = xyz
else:
new_xyz, sample_xyz, center_xyz = unite_sample_group(xyz, npoint)
grouped_xyz, grouped_feature, idx = pointconv_fixsample.grouping(feature, K, xyz, new_xyz, sample_xyz, center_xyz)
density = pointconv_fixsample.kernel_density_estimation_ball(xyz, radius, sigma)
inverse_density = tf.div(1.0, density)
grouped_density = tf.gather_nd(inverse_density, idx) # (batch_size, npoint, nsample, 1)
inverse_max_density = tf.reduce_max(grouped_density, axis = 2, keepdims = True)
density_scale = tf.div(grouped_density, inverse_max_density)
for i, num_out_channel in enumerate(mlp):
if i != len(mlp) - 1:
grouped_feature = tf_util.conv2d(grouped_feature, num_out_channel, [1,1],
padding='VALID', stride=[1,1],
bn=bn, is_training=is_training,
scope='conv%d'%(i), bn_decay=bn_decay, weight_decay = weight_decay)
density_scale = nonlinear_transform(density_scale, [16, 1], scope = 'density_net', is_training=is_training, bn_decay = bn_decay, weight_decay = weight_decay)
new_points = tf.multiply(grouped_feature, density_scale)
new_points = tf.transpose(new_points, [0, 1, 3, 2])
new_points = tf_util.conv2d(new_points, mlp[-1], [1,new_points.get_shape()[2].value],
padding='VALID', stride=[1,1],
bn=bn, is_training=is_training,
scope='after_conv', bn_decay=bn_decay, weight_decay = weight_decay)
new_points = tf.squeeze(new_points, [2]) # (batch_size, npoints, mlp2[-1])
return center_xyz, new_points
def placeholder_inputs(batch_size, num_point, channel):
pointclouds_pl = tf.placeholder(tf.float32, shape=(batch_size, num_point, 3))
feature_pts_pl = tf.placeholder(tf.float32, shape=(batch_size, num_point, channel))
labels_pl = tf.placeholder(tf.int32, shape=(batch_size, num_point))
return pointclouds_pl, feature_pts_pl, labels_pl
if __name__=='__main__':
import numpy as np
pts = np.random.random((32, 2048, 3)).astype('float32')
fpts = pts
sigma = 0.1
N = 512
K = 64
D = 1
C_list = [64, 128]
mlp_w = [64]
mlp_d = [64]
is_training = tf.placeholder(tf.bool, shape=())
import pdb
pdb.set_trace()
with tf.device('/gpu:1'):
#points = tf.constant(pts)
#features = tf.constant(fpts)
points_pl, features_pl, labels_pl = placeholder_inputs(32, 2048, 3)
sub_pts, features = feature_encoding_layer(points_pl, features_pl, N, sigma, K, [10, 20], is_training, bn_decay = 0.1, weight_decay = 0.1, scope = "FE")
feature_decode = feature_decoding_layer(points_pl, sub_pts, features_pl, features, sigma, K, [10, 23], is_training, bn_decay=0.1, weight_decay = 0.1, scope= "FD")
| 49.343891
| 170
| 0.611188
| 1,451
| 10,905
| 4.314266
| 0.135079
| 0.057508
| 0.063898
| 0.044728
| 0.770128
| 0.752716
| 0.74377
| 0.736422
| 0.731629
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| 220
| 171
| 49.568182
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|
0
| 5
|
a412852116167acbf189aa22a8373c7b383777b5
| 88
|
py
|
Python
|
tests/unit/test_roll.py
|
carlosvalarezo/bowling_pyton_tdd
|
419215fc32963de49780f1c01f5c431205134a77
|
[
"MIT"
] | null | null | null |
tests/unit/test_roll.py
|
carlosvalarezo/bowling_pyton_tdd
|
419215fc32963de49780f1c01f5c431205134a77
|
[
"MIT"
] | null | null | null |
tests/unit/test_roll.py
|
carlosvalarezo/bowling_pyton_tdd
|
419215fc32963de49780f1c01f5c431205134a77
|
[
"MIT"
] | null | null | null |
import unittest
from src.Roll import Roll
class TestRoll(unittest.TestCase):
pass
| 12.571429
| 34
| 0.772727
| 12
| 88
| 5.666667
| 0.75
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0.170455
| 88
| 7
| 35
| 12.571429
| 0.931507
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| true
| 0.25
| 0.5
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| 0.75
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| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
a41bd0b2809894a7880fe664db8e7067727734ba
| 176
|
py
|
Python
|
awssert/__init__.py
|
TSNobleSoftware/awssert
|
a924d591523813b070d67bb4df4bd08913c12eac
|
[
"Apache-2.0"
] | 19
|
2021-04-25T13:28:12.000Z
|
2021-06-16T18:30:38.000Z
|
awssert/__init__.py
|
TSNobleSoftware/awssert
|
a924d591523813b070d67bb4df4bd08913c12eac
|
[
"Apache-2.0"
] | 23
|
2021-04-06T17:00:04.000Z
|
2021-04-20T18:03:35.000Z
|
awssert/__init__.py
|
TSNoble/awssert
|
a924d591523813b070d67bb4df4bd08913c12eac
|
[
"Apache-2.0"
] | 1
|
2021-04-07T07:45:37.000Z
|
2021-04-07T07:45:37.000Z
|
import pkg_resources
try:
__version__ = pkg_resources.get_distribution("awssert").version
except pkg_resources.DistributionNotFound:
pass
from awssert.hooks import *
| 19.555556
| 67
| 0.801136
| 20
| 176
| 6.65
| 0.65
| 0.270677
| 0
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| 8
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| 22
| 0.869281
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|
0
| 5
|
a43ee0fd28f5d3ab9c7df10af988c9563841ff2b
| 202
|
py
|
Python
|
analytics/admin.py
|
Zadigo/django_template_project
|
864feb7e7e94b5546d946a4620c8ac285e73b597
|
[
"MIT"
] | null | null | null |
analytics/admin.py
|
Zadigo/django_template_project
|
864feb7e7e94b5546d946a4620c8ac285e73b597
|
[
"MIT"
] | 1
|
2022-02-27T19:19:52.000Z
|
2022-02-27T19:19:52.000Z
|
analytics/admin.py
|
Zadigo/example_website
|
864feb7e7e94b5546d946a4620c8ac285e73b597
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# from analytics.models import Analytic
# @admin.register(Analytic)
# class AnalyticAdmin(admin.ModelAdmin):
# list_display = ['reference', 'user', 'created_on']
| 22.444444
| 56
| 0.742574
| 23
| 202
| 6.434783
| 0.782609
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| 202
| 8
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| 25.25
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| 0
| 1
| 0
|
0
| 5
|
a43f2e0145afa4ed0780110eb90cd23db4b38470
| 137
|
py
|
Python
|
src/sementeira/iv_database/__init__.py
|
torraodocerrado/sementeira
|
962d15bef63a73493b8cf29a22b656f19aa161ff
|
[
"Apache-2.0"
] | 2
|
2021-02-25T23:52:40.000Z
|
2021-02-25T23:52:42.000Z
|
src/sementeira/iv_database/__init__.py
|
torraodocerrado/sementeira
|
962d15bef63a73493b8cf29a22b656f19aa161ff
|
[
"Apache-2.0"
] | null | null | null |
src/sementeira/iv_database/__init__.py
|
torraodocerrado/sementeira
|
962d15bef63a73493b8cf29a22b656f19aa161ff
|
[
"Apache-2.0"
] | null | null | null |
from .pessoa_data_gateway_relacional import PessoaDataGatewayRelacional
from .pessoa_creator_data_gateway import PessoaCreatorDataGateway
| 68.5
| 71
| 0.934307
| 14
| 137
| 8.714286
| 0.642857
| 0.163934
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| 137
| 2
| 72
| 68.5
| 0.938462
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| 1
| 0
|
0
| 5
|
a45584e7c279c89096b99250d803027ceda6b78d
| 252
|
py
|
Python
|
skassist/local_store/__init__.py
|
radmerti/scikit-assist
|
6ecd58608632c2ef8b52f6f71fd3695db522e22e
|
[
"BSD-2-Clause"
] | null | null | null |
skassist/local_store/__init__.py
|
radmerti/scikit-assist
|
6ecd58608632c2ef8b52f6f71fd3695db522e22e
|
[
"BSD-2-Clause"
] | null | null | null |
skassist/local_store/__init__.py
|
radmerti/scikit-assist
|
6ecd58608632c2ef8b52f6f71fd3695db522e22e
|
[
"BSD-2-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""The local store implements a folder structure that mirrors the structure
of :mod:`~skassist.library`. This way it is easy to manually modify the
library, back it up and restore parts of it.
"""
from .files import LocalFiles
| 31.5
| 75
| 0.734127
| 40
| 252
| 4.625
| 0.825
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004762
| 0.166667
| 252
| 8
| 76
| 31.5
| 0.87619
| 0.84127
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a47a3d3f391d6b4fe02d92ceddee9cae7bfa391b
| 818
|
py
|
Python
|
test/test_test_tools_api.py
|
cons3rt/cons3rt-python-sdk
|
f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0
|
[
"RSA-MD"
] | null | null | null |
test/test_test_tools_api.py
|
cons3rt/cons3rt-python-sdk
|
f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0
|
[
"RSA-MD"
] | null | null | null |
test/test_test_tools_api.py
|
cons3rt/cons3rt-python-sdk
|
f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0
|
[
"RSA-MD"
] | null | null | null |
# coding: utf-8
"""
CONS3RT Web API
A CONS3RT ReSTful API # noqa: E501
The version of the OpenAPI document: 1.0.0
Contact: Fred@gigagantic-server.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import cons3rt
from cons3rt.api.test_tools_api import TestToolsApi # noqa: E501
from cons3rt.rest import ApiException
class TestTestToolsApi(unittest.TestCase):
"""TestToolsApi unit test stubs"""
def setUp(self):
self.api = cons3rt.api.test_tools_api.TestToolsApi() # noqa: E501
def tearDown(self):
pass
def test_gettesttools_html(self):
"""Test case for gettesttools_html
Get Test Tool HTML # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 19.47619
| 74
| 0.678484
| 103
| 818
| 5.194175
| 0.543689
| 0.059813
| 0.052336
| 0.071028
| 0.082243
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035032
| 0.232274
| 818
| 41
| 75
| 19.95122
| 0.816879
| 0.377751
| 0
| 0.142857
| 1
| 0
| 0.017699
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0.142857
| 0.357143
| 0
| 0.642857
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
f105badd22aa1c94fadd7a5ddcdf6736c7b73b7a
| 92
|
py
|
Python
|
flask_pancake/__init__.py
|
NicMul/flask-pancake
|
f3f898e2d7c22581aa892280a793a8bd0396d072
|
[
"MIT"
] | null | null | null |
flask_pancake/__init__.py
|
NicMul/flask-pancake
|
f3f898e2d7c22581aa892280a793a8bd0396d072
|
[
"MIT"
] | null | null | null |
flask_pancake/__init__.py
|
NicMul/flask-pancake
|
f3f898e2d7c22581aa892280a793a8bd0396d072
|
[
"MIT"
] | null | null | null |
from .extension import FlaskPancake # noqa
from .flags import Flag, Sample, Switch # noqa
| 30.666667
| 47
| 0.76087
| 12
| 92
| 5.833333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 92
| 2
| 48
| 46
| 0.921053
| 0.097826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
f1134c6bcb41487a654a93a082800b6cd4b57994
| 126
|
py
|
Python
|
app_game_parlour/core/admin.py
|
aditya-mitra/django_learn
|
f47dd1afc9c6a9e859af67629307dbd307ed1b94
|
[
"MIT"
] | null | null | null |
app_game_parlour/core/admin.py
|
aditya-mitra/django_learn
|
f47dd1afc9c6a9e859af67629307dbd307ed1b94
|
[
"MIT"
] | null | null | null |
app_game_parlour/core/admin.py
|
aditya-mitra/django_learn
|
f47dd1afc9c6a9e859af67629307dbd307ed1b94
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from core.models import Player, Game
admin.site.register(Player)
admin.site.register(Game)
| 18
| 36
| 0.809524
| 19
| 126
| 5.368421
| 0.578947
| 0.176471
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103175
| 126
| 6
| 37
| 21
| 0.902655
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
f132e23f62ec7f40295cc1a36a886d11bcf92a6a
| 158
|
py
|
Python
|
consistency.py
|
dan-simon/mini_parse
|
b7662de7704f5596b0f4ab32a2c44b79cf9c75d5
|
[
"MIT"
] | 1
|
2020-03-26T08:09:44.000Z
|
2020-03-26T08:09:44.000Z
|
consistency.py
|
dan-simon/mini_parse
|
b7662de7704f5596b0f4ab32a2c44b79cf9c75d5
|
[
"MIT"
] | null | null | null |
consistency.py
|
dan-simon/mini_parse
|
b7662de7704f5596b0f4ab32a2c44b79cf9c75d5
|
[
"MIT"
] | null | null | null |
from mini_parse import one_of, Grammar, string_grammar
consistency = Grammar(string_grammar)
consistency.main = one_of(['a', 'b', 'c', 'd', 'e', 'f', 'g'])
| 26.333333
| 62
| 0.677215
| 24
| 158
| 4.25
| 0.708333
| 0.098039
| 0.392157
| 0.607843
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126582
| 158
| 5
| 63
| 31.6
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0.044304
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
f1513eaaaaac345f063738ec5c561c261d1e11a6
| 3,794
|
py
|
Python
|
instructions/stores.py
|
kimi641/pyJVM
|
9e2b2392044a8ddd41ff8dda18a26e307776ae34
|
[
"MIT"
] | null | null | null |
instructions/stores.py
|
kimi641/pyJVM
|
9e2b2392044a8ddd41ff8dda18a26e307776ae34
|
[
"MIT"
] | 1
|
2021-01-21T09:38:24.000Z
|
2021-01-21T09:38:24.000Z
|
instructions/stores.py
|
kimi641/pyJVM
|
9e2b2392044a8ddd41ff8dda18a26e307776ae34
|
[
"MIT"
] | null | null | null |
import instructions.base
import rtda
def _astore(frame: rtda.Frame, index):
ref = frame.OperandStack().PopRef()
frame.LocalVars().SetRef(index, ref)
class ASTORE(instructions.base.Index8Instruction):
def Execute(self, frame:rtda.Frame):
_astore(frame, self.Index)
class ASTORE_0(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_astore(frame, 0)
class ASTORE_1(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_astore(frame, 1)
class ASTORE_2(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_astore(frame, 2)
class ASTORE_3(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_astore(frame, 3)
def _dstore(frame: rtda.Frame, index):
val = frame.OperandStack().PopDouble()
frame.LocalVars().SetDouble(index, val)
class DSTORE(instructions.base.Index8Instruction):
def Execute(self, frame:rtda.Frame):
_dstore(frame, self.Index)
class DSTORE_0(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_dstore(frame, 0)
class DSTORE_1(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_dstore(frame, 1)
class DSTORE_2(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_dstore(frame, 2)
class DSTORE_3(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_dstore(frame, 3)
def _fstore(frame: rtda.Frame, index):
val = frame.OperandStack().PopFloat()
frame.LocalVars().SetFloat(index, val)
class FSTORE(instructions.base.Index8Instruction):
def Execute(self, frame:rtda.Frame):
_fstore(frame, self.Index)
class FSTORE_0(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_fstore(frame, 0)
class FSTORE_1(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_fstore(frame, 1)
class FSTORE_2(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_fstore(frame, 2)
class FSTORE_3(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_fstore(frame, 3)
def _istore(frame: rtda.Frame, index):
val = frame.OperandStack().PopInt()
frame.LocalVars().SetInt(index, val)
class ISTORE(instructions.base.Index8Instruction):
def Execute(self, frame:rtda.Frame):
_istore(frame, self.Index)
class ISTORE_0(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_istore(frame, 0)
class ISTORE_1(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_istore(frame, 1)
class ISTORE_2(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_istore(frame, 2)
class ISTORE_3(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_istore(frame, 3)
def _lstore(frame: rtda.Frame, index):
val = frame.OperandStack().PopLong()
frame.LocalVars().SetLong(index, val)
class LSTORE(instructions.base.Index8Instruction):
def Execute(self, frame:rtda.Frame):
_lstore(frame, self.Index)
class LSTORE_0(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_lstore(frame, 0)
class LSTORE_1(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_lstore(frame, 1)
class LSTORE_2(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_lstore(frame, 2)
class LSTORE_3(instructions.base.NoOperandsInstruction):
def Execute(self, frame:rtda.Frame):
_lstore(frame, 3)
| 30.845528
| 56
| 0.723247
| 455
| 3,794
| 5.920879
| 0.076923
| 0.100223
| 0.155902
| 0.176318
| 0.763177
| 0.763177
| 0.763177
| 0.705271
| 0.684855
| 0.571641
| 0
| 0.014063
| 0.156563
| 3,794
| 122
| 57
| 31.098361
| 0.827813
| 0
| 0
| 0.271739
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.326087
| false
| 0
| 0.021739
| 0
| 0.619565
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f176a716384bf5afdd8de4a36da49767b9a95461
| 379
|
py
|
Python
|
chronosphere/utils/config.py
|
chzhong25346/Chronosphere
|
2db97939be3415ad508de6abe9ac79f3ee1d1eff
|
[
"Apache-2.0"
] | null | null | null |
chronosphere/utils/config.py
|
chzhong25346/Chronosphere
|
2db97939be3415ad508de6abe9ac79f3ee1d1eff
|
[
"Apache-2.0"
] | 2
|
2021-03-31T20:03:41.000Z
|
2021-12-13T20:45:29.000Z
|
chronosphere/utils/config.py
|
chzhong25346/Chronosphere
|
2db97939be3415ad508de6abe9ac79f3ee1d1eff
|
[
"Apache-2.0"
] | null | null | null |
import os
class Config():
DB_USER = os.environ.get('DB_USER')
DB_PASS = os.environ.get('DB_PASS')
DB_PORT = os.environ.get('DB_PORT')
DB_HOST = os.environ.get('DB_HOST')
DB_NAME = None
TS_KEY = os.environ.get('TS_KEY')
EMAIL_USER = os.environ.get('EMAIL_USER')
EMAIL_PASS = os.environ.get('EMAIL_PASS')
EMAIL_TO = os.environ.get('EMAIL_TO')
| 27.071429
| 45
| 0.659631
| 63
| 379
| 3.698413
| 0.269841
| 0.309013
| 0.412017
| 0.240343
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.182058
| 379
| 13
| 46
| 29.153846
| 0.751613
| 0
| 0
| 0
| 0
| 0
| 0.163588
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.181818
| 0.090909
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
74acbcdc46112a32eeee09995785b2199c7e1c45
| 275
|
py
|
Python
|
parser/callbacks/__init__.py
|
ShannonAI/mrc-for-dependency-parsing
|
fb78718096454b2631a61ec9f704ab6671bdcf51
|
[
"Apache-2.0"
] | 18
|
2021-05-17T06:18:46.000Z
|
2022-02-08T09:48:00.000Z
|
parser/callbacks/__init__.py
|
ShannonAI/mrc-for-dependency-parsing
|
fb78718096454b2631a61ec9f704ab6671bdcf51
|
[
"Apache-2.0"
] | null | null | null |
parser/callbacks/__init__.py
|
ShannonAI/mrc-for-dependency-parsing
|
fb78718096454b2631a61ec9f704ab6671bdcf51
|
[
"Apache-2.0"
] | 2
|
2021-05-26T14:00:40.000Z
|
2021-06-30T14:18:40.000Z
|
# encoding: utf-8
"""
@author: Yuxian Meng
@contact: yuxian_meng@shannonai.com
@version: 1.0
@file: __init__.py
@time: 2020/12/24 18:10
@desc:
"""
from parser.callbacks.eval_callback import EvalCallback
from parser.callbacks.model_print_callback import ModelPrintCallback
| 19.642857
| 68
| 0.778182
| 39
| 275
| 5.282051
| 0.820513
| 0.097087
| 0.184466
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060976
| 0.105455
| 275
| 14
| 68
| 19.642857
| 0.776423
| 0.505455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.5
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 5
|
2d11c25457230baae20ef8385309aa578087702c
| 47
|
py
|
Python
|
contests_atcoder/abc193/abc193_a.py
|
takelifetime/competitive-programming
|
e7cf8ef923ccefad39a1727ca94c610d650fcb76
|
[
"BSD-2-Clause"
] | null | null | null |
contests_atcoder/abc193/abc193_a.py
|
takelifetime/competitive-programming
|
e7cf8ef923ccefad39a1727ca94c610d650fcb76
|
[
"BSD-2-Clause"
] | 1
|
2021-01-02T06:36:51.000Z
|
2021-01-02T06:36:51.000Z
|
contests_atcoder/abc193/abc193_a.py
|
takelifetime/competitive-programming
|
e7cf8ef923ccefad39a1727ca94c610d650fcb76
|
[
"BSD-2-Clause"
] | null | null | null |
a,b=map(int,input().split())
print(100*(a-b)/a)
| 23.5
| 28
| 0.617021
| 11
| 47
| 2.636364
| 0.727273
| 0.137931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065217
| 0.021277
| 47
| 2
| 29
| 23.5
| 0.565217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
2d28882810b66245041dc94a3817e920e71f6fab
| 41
|
py
|
Python
|
tests/__init__.py
|
eseraygun/python-entities
|
9763ef61dacda70cb7d9731f74bfff2e35efe08b
|
[
"BSD-3-Clause"
] | 3
|
2017-11-08T08:19:37.000Z
|
2021-01-16T05:27:09.000Z
|
tests/__init__.py
|
eseraygun/python-entities
|
9763ef61dacda70cb7d9731f74bfff2e35efe08b
|
[
"BSD-3-Clause"
] | null | null | null |
tests/__init__.py
|
eseraygun/python-entities
|
9763ef61dacda70cb7d9731f74bfff2e35efe08b
|
[
"BSD-3-Clause"
] | 1
|
2017-09-29T08:02:24.000Z
|
2017-09-29T08:02:24.000Z
|
from field import *
from entity import *
| 13.666667
| 20
| 0.756098
| 6
| 41
| 5.166667
| 0.666667
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| 0.195122
| 41
| 2
| 21
| 20.5
| 0.939394
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| 1
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| 0
|
0
| 5
|
2d34d21f80a0377191eb32d4e1bb92624d246e07
| 1,863
|
py
|
Python
|
camhudson/config.py
|
Hudson00/Hudson00.github.io
|
75fede08521dc1e10cb2ce29e20c54c93e9e6db6
|
[
"MIT"
] | null | null | null |
camhudson/config.py
|
Hudson00/Hudson00.github.io
|
75fede08521dc1e10cb2ce29e20c54c93e9e6db6
|
[
"MIT"
] | null | null | null |
camhudson/config.py
|
Hudson00/Hudson00.github.io
|
75fede08521dc1e10cb2ce29e20c54c93e9e6db6
|
[
"MIT"
] | null | null | null |
"""Cam Hudson Personal Website app's environment variable configuration.
For more information, see https://flask.palletsprojects.com/en/2.0.x/config/
"""
import pathlib
APPLICATION_ROOT = '/'
CAMHUDSON_ROOT = pathlib.Path(__file__).resolve().parent.parent
SECRET_KEY = b'\x91\t\xeef\xac\x9e\x95 w$\xcc\xabaQ\x82\x91\x99\xe5k\xacBX\x1e\x15\xd5\x9b-\xac`~\xcf=F\xe8Ov\xdcBJ\xbb\xb28\x80\xf6\xc8_J\x1d\xc4\xf5\x1b\x9c\xe3Eb1\x89\x83\t\xd2\n^\xf9M\xe8\x12\x8a\x9daI\xe99\xb0\xd5,\x98\x0c\xd52\xe4mXs\x16\x99x\xb1ajq\xdd\xaa\xbc\x19\x91\x12\xf2\xdd(\xbf\xa9\t&\xf5\xb3`%P\xc9}\xab\xe4\xd4\xda\xe2\xef\xd2\xa4\xd5\xd0\xd9%\x8b\x85\x90y\x18\xe0U#\xfdC\xfe\xe2\xc5h\x0cYz\xec\xafQO\x1e\xb1\x8d\xe2 \x17^\x9f\xb3\x06\x0e/\xd7\x9f\xb1>\x1f2Q&\xb8Ir\xbb\xf9\xde\xff\x10\xf3\xb1\xebP\x96q\x08\xf9\x14\xc4\xda\xf7:@\xcf#.\x96\xe0\xe6\xdc\xc2r\xbe?\xbe\xa3\xd3\xce\xac\x08~\r \x818\xb4i\x80\xaa\xa9\xe05A,\xean\xc6\x1f}\xb5u\x1f\xceCh\xb5?\x81Cn\x8b}Y\xc6\xc0\xfe\t\xb7\x00")\xb0J\xde\xbf\x17Y\xbah>#\x89\x077\xacO\x88\xbcR\xf5\xb2\xee\x82\x99\xd6\x89\xad\xe4}\xa4%\xcb\xb3\xe0z\x97\xab\xeejY.d`qN\xf2p~\xf9\xb8\xafus\xc7l\xb3\xc2\xdaH2zO\xf0\xa0\x8bmW\xea\x82\x0b\xec\x96\xa8\xf6\xc6\xa2\x08&\xf4\x04\xad\x89a\x06\xeaWT\xc4\xbaFQ\xe2S\xda\xfb9Q\xba\xbc\xbf\xdd\x19\x85\xc1\x1ef\x82\xd3\xc6\xf5F\rn\xb9\xce\x8a\xdcEI\x17#\x7f\x87:A\x17X\xa4\x15?6\xcb\xe3T\xe6\xe2\xaa\x7fb.X\xc4\xc5\xeb\x86bK\xa5\xe6\x0f\x137m\x8b\xef\xfd\x94/\xd3\xe4\xc9a2\x82\xa5\x80*y\xd3@\xa44\xec\xe7?\xd5 \x1e,\xdc4\x080\x15\x01\xca\x18\x1d\x96\xed\x01\xbd?/\x85 &!\x9fG\x14\xc2\xa1\xe4V\xd1\xc3y\xb0\xcc\xa6\x9e\xdb\x8d<\xa5\xe3d\xf0\xab\xac\x13\xb3\xee\xaf\xa6\xdbc\xa0\x97J\xe2\xb7\xea~b\x89_\xcbZ%S=[\xf9\xb9\xafS\xb2\xc1\x11Z\xd4\xef\xa1#\x1c\x8b\xe4Lg{\xdc\xa4\xf5\xb9+\x1b*w'
# SESSION_COOKIE_NAME = 'camhudsonlogin' # TODO: delete if unused
STATIC_FOLDER = CAMHUDSON_ROOT/'camhudson/static'
| 143.307692
| 1,486
| 0.743961
| 389
| 1,863
| 3.529563
| 0.650386
| 0.018937
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176665
| 0.024691
| 1,863
| 12
| 1,487
| 155.25
| 0.578976
| 0.113795
| 0
| 0
| 0
| 0.2
| 0.905052
| 0.891662
| 0
| 0
| 0
| 0.083333
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
746c9cbf60edecab9c3a2839a20e733784583f58
| 238
|
py
|
Python
|
netbox/plugin_crossconnect/plugin_crossconnect/admin.py
|
Authakarn/plugin_crossconnect
|
3e262084f90881c789c1cf5c9bc4797f45cd983e
|
[
"Apache-2.0"
] | null | null | null |
netbox/plugin_crossconnect/plugin_crossconnect/admin.py
|
Authakarn/plugin_crossconnect
|
3e262084f90881c789c1cf5c9bc4797f45cd983e
|
[
"Apache-2.0"
] | null | null | null |
netbox/plugin_crossconnect/plugin_crossconnect/admin.py
|
Authakarn/plugin_crossconnect
|
3e262084f90881c789c1cf5c9bc4797f45cd983e
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import plugin_crossconnect
@admin.register(plugin_crossconnect)
class plugin_crossconnectadmin(admin.ModelAdmin):
#list_display = ("customer")
list_display = ("customer","routetypes")
| 34
| 49
| 0.794118
| 26
| 238
| 7.076923
| 0.615385
| 0.195652
| 0.206522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105042
| 238
| 7
| 50
| 34
| 0.86385
| 0.113445
| 0
| 0
| 0
| 0
| 0.085308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
749a70f9096ca08a3d563babfa5a0e0214bdf089
| 509
|
py
|
Python
|
core/templatetags/image_urls.py
|
AndrewADev/open-oni
|
8a3a2564659eaf22b2bb3ad3be62504dfc151897
|
[
"Apache-2.0"
] | 41
|
2015-10-12T15:27:35.000Z
|
2021-11-19T02:20:38.000Z
|
core/templatetags/image_urls.py
|
AndrewADev/open-oni
|
8a3a2564659eaf22b2bb3ad3be62504dfc151897
|
[
"Apache-2.0"
] | 402
|
2015-07-23T21:17:57.000Z
|
2022-03-28T18:02:02.000Z
|
core/templatetags/image_urls.py
|
AndrewADev/open-oni
|
8a3a2564659eaf22b2bb3ad3be62504dfc151897
|
[
"Apache-2.0"
] | 23
|
2016-01-20T16:45:44.000Z
|
2021-12-21T00:23:40.000Z
|
from django import template
from core.utils import image_urls
register = template.Library()
@register.simple_tag
def image_url(page, size):
return image_urls.resize_url(page, size)
@register.simple_tag
def thumb_image_url(page):
return image_urls.thumb_image_url(page)
@register.simple_tag
def specific_tile_url(page, w, h, x1, y1, x2, y2):
return image_urls.specific_tile_url(page, w, h, x1, y1, x2, y2)
@register.simple_tag
def iiif_info(page):
return image_urls.page_iiif_info_url(page)
| 24.238095
| 67
| 0.774067
| 85
| 509
| 4.364706
| 0.341176
| 0.132075
| 0.183288
| 0.215633
| 0.156334
| 0.156334
| 0.156334
| 0.156334
| 0.156334
| 0.156334
| 0
| 0.017978
| 0.125737
| 509
| 20
| 68
| 25.45
| 0.81573
| 0
| 0
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.266667
| false
| 0
| 0.133333
| 0.266667
| 0.666667
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
77638d6a22d10923a9b01d0cf8e268b883d89b0d
| 23,303
|
py
|
Python
|
db/tasks/midpointswt/midpoints.py
|
MichaelClerx/mutations-scn5a
|
a275066ee3f44a68254c0395b462b7bc71826ea6
|
[
"BSD-3-Clause"
] | null | null | null |
db/tasks/midpointswt/midpoints.py
|
MichaelClerx/mutations-scn5a
|
a275066ee3f44a68254c0395b462b7bc71826ea6
|
[
"BSD-3-Clause"
] | null | null | null |
db/tasks/midpointswt/midpoints.py
|
MichaelClerx/mutations-scn5a
|
a275066ee3f44a68254c0395b462b7bc71826ea6
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
#
# Creates data for a graph of V1/2 of activation & inactivation of wild-type
# channels in expression systems and myocyte data.
#
import base
import numpy as np
import scipy as sp
import scipy.stats
import matplotlib.pyplot as pl
DEBUG = False
def tasks():
"""
Returns a list of the tasks in this file.
"""
return [
MidpointsWT(),
MidpointsMyo(),
WeightedMidpointsWT(),
WeightedMidpointsMyo(),
]
def gaussian(x, mu, sigma):
"""
Return a gaussian/normal pdf over x, with mean mu and stddev sigma.
"""
return 1.0 / (sigma * np.sqrt(2.0 * np.pi)) * np.exp(
-np.power((x - mu) / sigma, 2.0) * 0.5)
class Midpoints(base.Task):
def __init__(self, name):
super(Midpoints, self).__init__(name)
self._set_data_subdir('midpointswt')
def gather(self, filename, rows, weighted):
"""
Takes a series of rows, each with five columns in the order
``(name, v, sem, n, std)``, calculates the resulting probability
density functions and writes them to the csv file ``filename``, along
with a summed version called 'sum' and a fit to the sum, called 'fit'
and finally a field called 'x' with the voltages for each point.
Sums will be either weighted or unweighted.
"""
# High number of x-axis points, for accurate calculations
npoints = 100000
# Lower number of points, for fast representations
xf = int(npoints / 1000)
# Create x-data and y-data
x = np.linspace(-140, 20, npoints)
y = np.zeros(x.shape)
# Multiplier for calculating sums
dx = x[1] - x[0]
# Debug code
if DEBUG:
pl.figure()
# Names of each measurement
fields = []
# Result for each measurement (v, std, n)
data = {}
# Total number of cells measured
ntotal = 0
# Gather data from rows
for k, row in enumerate(rows):
pub, v, sem, n, std = row
field = str(k) + '-' + pub
# Skip rows without act/inact measurement
if n == 0:
continue
# Check std calculation
if np.abs(std - sem * np.sqrt(n)) > 1e-6:
print('Warning: Error in STD for ' + field)
print(' Listed : ' + str(s))
print(' Calculated: ' + str(s * np.sqrt(n)))
# Update ntotal
ntotal += n
# Store data
fields.append(field)
data[field] = (v, std, n)
# Create probability density functions
nmeasurements = len(fields)
pdfs = {}
for field in fields:
v, std, n = data[field]
# Create pdf
if weighted:
pdf = (float(n) / ntotal) * gaussian(x, v, std)
else:
pdf = (1.0 / nmeasurements) * gaussian(x, v, std)
# Update sum
y += pdf
# Store reduced data
pdfs[field] = pdf[::xf]
# Debug plot
if DEBUG:
color = pl.plot(x[::xf], pdf[::xf])[0].get_color()
pl.fill_between(x[::xf], 0, pdf[::xf], color=color, alpha=0.2)
pl.axvline(v, 0, 1, color=color, alpha=0.4)
print('Collected data from ' + str(nmeasurements) + ' measurements in '
+ str(ntotal) + ' cells!')
print('Area under sum curve: ' + str(np.sum(y) * dx))
# Calculate mean and standard deviation
mu = np.sum(x * y) / np.sum(y)
sigma = np.sqrt(np.sum(y * ((x - mu) ** 2)) / np.sum(y))
print('Mean: ' + str(mu))
print('Stddev: ' + str(sigma))
print('2Sigma-range: [' + str(mu-2*sigma) + ',' + str(mu+2*sigma) +']')
# Test goodness of fit using a chi-squared test
z = gaussian(x, mu, sigma)
chisq,p = sp.stats.chisquare(
y/np.sum(y),
z/np.sum(z),
2, # 2 params used to estimate z
)
print('Normal: ' + str(p))
# Reduce data
x = x[::xf]
y = y[::xf]
# Draw gaussian curve
z = gaussian(x, mu, sigma)
# Debug plot
if DEBUG:
pl.plot(x, y, lw=2)
pl.plot(x, z, lw=2)
# Write file
print('Writing to ' + filename)
with open(filename, 'w') as f:
csv = self.csv_writer(f)
csv.writerow(fields + ['sum', 'gauss', 'x'])
data = []
for field in fields:
data.append(iter(pdfs[field]))
data.append(iter(y))
data.append(iter(z))
data.append(iter(x))
for i in range(len(x)):
csv.writerow([next(j) for j in data])
class MidpointsWT(Midpoints):
def __init__(self):
super(MidpointsWT, self).__init__('midpoints_wt')
def _run(self):
with base.connect() as con:
c = con.cursor()
# Activation: All data
print('== Activation: all data')
q = 'select pub, va, sema, na, stda from midpoints_wt'
filename = 'midpoints-f-wt-a-00-all.csv' # f for flat
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Isoform a
print('== Activation: isoform a')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "a"'
filename = 'midpoints-f-wt-a-01-isoform-a.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Isoform b
print('== Activation: isoform b')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "b"'
filename = 'midpoints-f-wt-a-02-isoform-b.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Isoform a*
print('== Activation: isoform a*')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "astar"'
filename = 'midpoints-f-wt-a-03-isoform-a-star.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Isoform b*
print('== Activation: isoform b*')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "bstar"'
filename = 'midpoints-f-wt-a-04-isoform-b-star.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Unknown isoform
print('== Activation: isoform unknown')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence is null'
filename = 'midpoints-f-wt-a-05-isoform-unknown.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: HEK
print('== Activation: HEK')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where cell == "HEK"'
filename = 'midpoints-f-wt-a-06-hek.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Oocytes
print('== Activation: Oocytes')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where cell == "Oocyte"'
filename = 'midpoints-f-wt-a-07-oocytes.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: CHO
print('== Activation: CHO')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where cell == "CHO"'
filename = 'midpoints-f-wt-a-08-cho.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: With beta1
print('== Activation: With beta1')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where beta1 == "yes"'
filename = 'midpoints-f-wt-a-09-with-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Without beta1
print('== Activation: Without beta1')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where beta1 == "no"'
filename = 'midpoints-f-wt-a-10-without-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: HEK, a*, with
print('== Activation: Most common: HEK, a*, with')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "astar"'
q += ' and cell == "HEK"'
q += ' and beta1 == "yes"'
filename = 'midpoints-f-wt-a-11-most-common.csv'
self.gather(self.data_out(filename), c.execute(q), False)
#
# Inactivation
#
# Inactivation: All data
print('== Inactivation: all data')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
filename = 'midpoints-f-wt-i-00-all.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: Isoform a
print('== Inactivation: isoform a')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "a"'
filename = 'midpoints-f-wt-i-01-isoform-a.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: Isoform b
print('== Inactivation: isoform b')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "b"'
filename = 'midpoints-f-wt-i-02-isoform-b.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: Isoform a
print('== Inactivation: isoform a*')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "astar"'
filename = 'midpoints-f-wt-i-03-isoform-a-star.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: Isoform b
print('== Inactivation: isoform b*')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "bstar"'
filename = 'midpoints-f-wt-i-04-isoform-b-star.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Isoform unknown
print('== Inctivation: isoform unknown')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence is null'
filename = 'midpoints-f-wt-i-05-isoform-unknown.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: HEK
print('== Inactivation: HEK')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where cell == "HEK"'
filename = 'midpoints-f-wt-i-06-hek.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: Oocytes
print('== Inactivation: Oocytes')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where cell == "Oocyte"'
filename = 'midpoints-f-wt-i-07-oocytes.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Activation: CHO
print('== Inactivation: CHO')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where cell == "CHO"'
filename = 'midpoints-f-wt-i-08-cho.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: With beta1
print('== Inactivation: With beta1')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where beta1 == "yes"'
filename = 'midpoints-f-wt-i-09-with-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: Without beta1
print('== Inactivation: Without beta1')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where beta1 == "no"'
filename = 'midpoints-f-wt-i-10-without-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: HEK, a*, with
print('== Inactivation: Most common: HEK, a*, with')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "astar"'
q += ' and cell == "HEK"'
q += ' and beta1 == "yes"'
filename = 'midpoints-f-wt-i-11-most-common.csv'
self.gather(self.data_out(filename), c.execute(q), False)
#
# Show debug graphs
#
if DEBUG:
pl.show()
class WeightedMidpointsWT(Midpoints):
def __init__(self):
super(WeightedMidpointsWT, self).__init__('midpoints_w_wt')
def _run(self):
with base.connect() as con:
c = con.cursor()
# Activation: All data
print('== Activation: all data, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
filename = 'midpoints-w-wt-a-00-all.csv' # w for weighted
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Isoform a
print('== Activation: isoform a, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "a"'
filename = 'midpoints-w-wt-a-01-isoform-a.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Isoform b
print('== Activation: isoform b, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "b"'
filename = 'midpoints-w-wt-a-02-isoform-b.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Isoform a*
print('== Activation: isoform a*, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "astar"'
filename = 'midpoints-w-wt-a-03-isoform-a-star.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Isoform b*
print('== Activation: isoform b*, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "bstar"'
filename = 'midpoints-w-wt-a-04-isoform-b-star.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Isoform unknown
print('== Activation: isoform unknown, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence is null'
filename = 'midpoints-w-wt-a-05-isoform-unknown.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: HEK
print('== Activation: HEK, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where cell == "HEK"'
filename = 'midpoints-w-wt-a-06-hek.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Oocytes
print('== Activation: Oocytes, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where cell == "Oocyte"'
filename = 'midpoints-w-wt-a-07-oocytes.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: CHO
print('== Activation: CHO, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where cell == "CHO"'
filename = 'midpoints-w-wt-a-08-cho.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: With beta1
print('== Activation: With beta1, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where beta1 == "yes"'
filename = 'midpoints-w-wt-a-09-with-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Without beta1
print('== Activation: Without beta1, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where beta1 == "no"'
filename = 'midpoints-w-wt-a-10-without-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: HEK, a*, beta1
print('== Activation: Most common: HEK, a*, beta1, weighted')
q = 'select pub, va, sema, na, stda from midpoints_wt'
q += ' where sequence == "astar"'
q += ' and cell == "HEK"'
q += ' and beta1 == "yes"'
filename = 'midpoints-w-wt-a-11-most-common.csv'
self.gather(self.data_out(filename), c.execute(q), True)
#
# Inactivation
#
# Inactivation: All data
print('== Inactivation: all data, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
filename = 'midpoints-w-wt-i-00-all.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: Isoform a
print('== Inactivation: isoform a, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "a"'
filename = 'midpoints-w-wt-i-01-isoform-a.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: Isoform b
print('== Inactivation: isoform b, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "b"'
filename = 'midpoints-w-wt-i-02-isoform-b.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: Isoform a
print('== Inactivation: isoform a*, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "astar"'
filename = 'midpoints-w-wt-i-03-isoform-a-star.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: Isoform b
print('== Inactivation: isoform b*, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "bstar"'
filename = 'midpoints-w-wt-i-04-isoform-b-star.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: Isoform unknown
print('== Inactivation: isoform unknown, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence is null'
filename = 'midpoints-w-wt-i-05-isoform-unknown.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: HEK
print('== Inactivation: HEK, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where cell == "HEK"'
filename = 'midpoints-w-wt-i-06-hek.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: Oocytes
print('== Inactivation: Oocytes, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where cell == "Oocyte"'
filename = 'midpoints-w-wt-i-07-oocytes.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Activation: CHO
print('== Inactivation: CHO, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where cell == "CHO"'
filename = 'midpoints-w-wt-i-08-cho.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: With beta1
print('== Inactivation: With beta1, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where beta1 == "yes"'
filename = 'midpoints-w-wt-i-09-with-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: Without beta1
print('== Inactivation: Without beta1, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where beta1 == "no"'
filename = 'midpoints-w-wt-i-10-without-beta1.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: HEK, a*, with
print('== Inactivation: Most common: HEK, a*, beta1, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_wt'
q += ' where sequence == "astar"'
q += ' and cell == "HEK"'
q += ' and beta1 == "yes"'
filename = 'midpoints-w-wt-i-11-most-common.csv'
self.gather(self.data_out(filename), c.execute(q), True)
#
# Show debug graphs
#
if DEBUG:
pl.show()
class MidpointsMyo(Midpoints):
def __init__(self):
super(MidpointsMyo, self).__init__('midpoints_myo')
def _run(self):
with base.connect() as con:
c = con.cursor()
# Activation: All data
print('== Activation: all data')
q = 'select pub, va, sema, na, stda from midpoints_myo'
filename = 'midpoints-f-myo-a-00-all.csv'
self.gather(self.data_out(filename), c.execute(q), False)
# Inactivation: All data
print('== Inactivation: all data')
q = 'select pub, vi, semi, ni, stdi from midpoints_myo'
filename = 'midpoints-f-myo-i-00-all.csv'
self.gather(self.data_out(filename), c.execute(q), False)
#
# Show debug graphs
#
if DEBUG:
pl.show()
class WeightedMidpointsMyo(Midpoints):
def __init__(self):
super(WeightedMidpointsMyo, self).__init__('midpoints_w_myo')
def _run(self):
with base.connect() as con:
c = con.cursor()
# Activation: All data
print('== Activation: all data, weighted')
q = 'select pub, va, sema, na, stda from midpoints_myo'
filename = 'midpoints-w-myo-a-00-all.csv'
self.gather(self.data_out(filename), c.execute(q), True)
# Inactivation: All data
print('== Inactivation: all data, weighted')
q = 'select pub, vi, semi, ni, stdi from midpoints_myo'
filename = 'midpoints-w-myo-i-00-all.csv'
self.gather(self.data_out(filename), c.execute(q), True)
#
# Show debug graphs
#
if DEBUG:
pl.show()
if __name__ == '__main__':
#DEBUG = True
runner = base.TaskRunner()
runner.add_tasks(tasks())
runner.run()
| 46.328032
| 79
| 0.536669
| 2,852
| 23,303
| 4.325736
| 0.099579
| 0.04296
| 0.04215
| 0.075869
| 0.771014
| 0.739888
| 0.735187
| 0.713464
| 0.711275
| 0.71014
| 0
| 0.012348
| 0.329271
| 23,303
| 502
| 80
| 46.420319
| 0.776967
| 0.111531
| 0
| 0.505181
| 0
| 0
| 0.352341
| 0.083317
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031088
| false
| 0
| 0.012953
| 0
| 0.062176
| 0.160622
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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|
0
| 5
|
77cd097ca31f18bccb15c044141c924fda21b77b
| 570,039
|
py
|
Python
|
Data/scigrid-de/pypower/scigrid_2011_01_05_14.py
|
thanever/SOC
|
9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4
|
[
"MIT"
] | null | null | null |
Data/scigrid-de/pypower/scigrid_2011_01_05_14.py
|
thanever/SOC
|
9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4
|
[
"MIT"
] | null | null | null |
Data/scigrid-de/pypower/scigrid_2011_01_05_14.py
|
thanever/SOC
|
9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4
|
[
"MIT"
] | null | null | null |
from numpy import array
def scigrid_2011_01_05_14():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[586, 3, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[589, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[590, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[593, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[594, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[595, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[598, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[599, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[601, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[602, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[603, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[607, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[608, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[609, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[612, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[613, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[614, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[616, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[617, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[618, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[619, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[621, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[623, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[624, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[628, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[629, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[632, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[637, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[638, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[640, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[641, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[642, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[643, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[647, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[650, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[652, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[655, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[661, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[663, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[666, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[668, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[670, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[672, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[676, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[679, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[681, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[683, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[687, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[689, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[691, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[693, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[694, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[695, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[696, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[697, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[698, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[702, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[704, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[705, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[707, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[711, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[713, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[714, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[716, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[717, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[719, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[722, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[723, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[724, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[727, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[728, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[730, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[731, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[732, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[735, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[737, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[738, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[741, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[742, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[743, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[746, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[747, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[748, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[749, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[750, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[753, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[758, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[760, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[762, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[763, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[765, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[767, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[769, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[771, 2, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[772, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[774, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[776, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[777, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[778, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[781, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
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[585, 1, 94.397553, 18.879511, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ]
])
ppc["gen"] = array([
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[1981, 41.865569, 0, 9999, -9999, 1.0, 100, 1, 144.682717, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[1998, 4.857157, 0, 9999, -9999, 1.0, 100, 1, 12.126511, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1999, 65.806401, 0, 9999, -9999, 1.0, 100, 1, 199.184531, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[2000, 200.243922, 0, 9999, -9999, 1.0, 100, 1, 579.835051, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[2002, 9.683292, 0, 9999, -9999, 1.0, 100, 1, 30.606436, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[2003, 9.403697, 0, 9999, -9999, 1.0, 100, 1, 23.645071, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[2004, 7.07525, 0, 9999, -9999, 1.0, 100, 1, 17.73338, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[2005, 26.138841, 0, 9999, -9999, 1.0, 100, 1, 72.071456, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[232, 544, 0 ],
[233, 545, 0 ],
[236, 546, 0 ],
[245, 547, 0 ],
[246, 548, 0 ],
[248, 549, 0 ],
[249, 550, 0 ],
[250, 551, 0 ],
[259, 552, 0 ],
[261, 553, 0 ],
[262, 554, 0 ],
[265, 555, 0 ],
[270, 556, 0 ],
[277, 557, 0 ],
[279, 558, 0 ],
[280, 559, 0 ],
[290, 560, 0 ],
[301, 561, 0 ],
[305, 562, 0 ],
[306, 563, 0 ],
[310, 564, 0 ],
[313, 565, 0 ],
[315, 566, 0 ],
[320, 567, 0 ],
[330, 568, 0 ],
[332, 569, 0 ],
[334, 570, 0 ],
[336, 571, 0 ],
[349, 572, 0 ],
[351, 573, 0 ],
[358, 574, 0 ],
[360, 575, 0 ],
[380, 576, 0 ],
[382, 577, 0 ],
[383, 578, 0 ],
[389, 579, 0 ],
[401, 580, 0 ],
[402, 581, 0 ],
[409, 582, 0 ],
[415, 583, 0 ],
[444, 584, 0 ],
[452, 585, 0 ]
])
ppc["parameters"] = {
"x_trans_sg": 0.003,
"x_trans_fm": 0.001,
"x_trans_fl": 0.001,
"d_l": 1e-3,
"d_l_perturb": 1e-5,
"w_1_ij": 1,
"w_2_ij": 1,
"w_3_ij": 1,
"w_4_ij": 1,
"b_r": 238,
"b_c": 248 }
return ppc
| 70.997509
| 137
| 0.460398
| 109,507
| 570,039
| 2.396376
| 0.079328
| 0.211295
| 0.204337
| 0.218489
| 0.487714
| 0.486457
| 0.456745
| 0.44689
| 0.371085
| 0.370536
| 0
| 0.666992
| 0.313887
| 570,039
| 8,029
| 138
| 70.997509
| 0.003968
| 0
| 0
| 0.000623
| 0
| 0
| 0.000237
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.000125
| false
| 0
| 0.000125
| 0
| 0.000374
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
77d8a9bda66793b046a95aa2413574edd506a92f
| 993
|
py
|
Python
|
src/http_util.py
|
Gscienty/openfaas_wechat
|
9c959228e3a87d6857876ce1c0f33f527dd0f67e
|
[
"MIT"
] | 1
|
2019-11-14T06:12:43.000Z
|
2019-11-14T06:12:43.000Z
|
src/http_util.py
|
Gscienty/openfaas_wechat
|
9c959228e3a87d6857876ce1c0f33f527dd0f67e
|
[
"MIT"
] | null | null | null |
src/http_util.py
|
Gscienty/openfaas_wechat
|
9c959228e3a87d6857876ce1c0f33f527dd0f67e
|
[
"MIT"
] | null | null | null |
import xml_util
import requests
import os
import wechat_sec
__headers = { 'Content-Type': 'application/xml' }
def normal_call(uri, content):
global __headers
run_env = os.getenv('RUN_ENV')
if run_env in { 'release', 'develop' }:
res = requests.post(uri,
data=xml_util.to_xml(content),
headers=__headers)
return xml_util.parse_xml(res.text)
elif run_env in { 'mock' }:
print(xml_util.to_xml(content))
return wechat_sec.mock_res_build()
def security_call(uri, content):
global __headers
run_env = os.getenv('RUN_ENV')
if run_env in { 'release', 'develop' }:
res = requests.post(uri,
data=xml_util.to_xml(content),
headers=__headers,
cert=(os.getenv('API_CERT'), os.getenv('API_KEY')))
return xml_util.parse_xml(res.text)
elif run_env in { 'mock' }:
print(xml_util.to_xml(content))
return wechat_sec.mock_res_build()
| 31.03125
| 67
| 0.623364
| 134
| 993
| 4.30597
| 0.283582
| 0.083189
| 0.055459
| 0.083189
| 0.766031
| 0.766031
| 0.766031
| 0.766031
| 0.766031
| 0.766031
| 0
| 0
| 0.258812
| 993
| 31
| 68
| 32.032258
| 0.783967
| 0
| 0
| 0.642857
| 0
| 0
| 0.092649
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.071429
| false
| 0
| 0.142857
| 0
| 0.357143
| 0.071429
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7aea9f75db657392d02960e7aeeac7da388a8fe6
| 187
|
py
|
Python
|
src/aptitude/nodes/literary_devices/simile/simile.py
|
ThatAquarel/Aptitude
|
1311b6a1a284c5f84ae5ec5707b1f896ac7bc710
|
[
"MIT"
] | null | null | null |
src/aptitude/nodes/literary_devices/simile/simile.py
|
ThatAquarel/Aptitude
|
1311b6a1a284c5f84ae5ec5707b1f896ac7bc710
|
[
"MIT"
] | null | null | null |
src/aptitude/nodes/literary_devices/simile/simile.py
|
ThatAquarel/Aptitude
|
1311b6a1a284c5f84ae5ec5707b1f896ac7bc710
|
[
"MIT"
] | null | null | null |
from aptitude.pipeline.parser import Parser
class Simile(Parser):
@staticmethod
def get_dependencies() -> list[type]:
return []
def parse(self, data):
pass
| 17
| 43
| 0.641711
| 21
| 187
| 5.666667
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.256684
| 187
| 10
| 44
| 18.7
| 0.856115
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.142857
| 0.142857
| 0.142857
| 0.714286
| 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
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
248b2e11faa5fb82d3399fd12b82d99a91f1aa57
| 6,387
|
py
|
Python
|
verto/tests/RemoveTitleTest.py
|
uccser/verto
|
d36aa88b208f1700fafc033679bd1e9775496d25
|
[
"MIT"
] | 4
|
2017-04-10T06:09:54.000Z
|
2019-05-04T02:07:40.000Z
|
verto/tests/RemoveTitleTest.py
|
uccser/verto
|
d36aa88b208f1700fafc033679bd1e9775496d25
|
[
"MIT"
] | 268
|
2017-04-03T20:40:46.000Z
|
2022-02-04T20:10:08.000Z
|
verto/tests/RemoveTitleTest.py
|
uccser/kordac
|
d36aa88b208f1700fafc033679bd1e9775496d25
|
[
"MIT"
] | 1
|
2019-01-07T15:46:31.000Z
|
2019-01-07T15:46:31.000Z
|
import markdown
from unittest.mock import Mock
from verto.VertoExtension import VertoExtension
from verto.processors.RemoveTitlePreprocessor import RemoveTitlePreprocessor
from verto.tests.ProcessorTest import ProcessorTest
class RemoveTitleTest(ProcessorTest):
'''Tests to check the 'remove-title' preprocesser works as intended.
'''
def __init__(self, *args, **kwargs):
'''Set processor name in class for asset file retrieval.
'''
ProcessorTest.__init__(self, *args, **kwargs)
self.processor_name = 'remove-title'
self.ext = Mock()
self.ext.processor_info = ProcessorTest.loadProcessorInfo(self)
def test_basic_usage(self):
'''Tests that common usecase works as expected.
'''
test_string = self.read_test_file(self.processor_name, 'doc_example_basic_usage.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertTrue(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'doc_example_basic_usage_expected.html', strip=True)
self.assertEqual(expected_string, converted_test_string)
def test_multiple_headings(self):
'''Tests that multiple matches of the common usecase are
found and processed.
'''
test_string = self.read_test_file(self.processor_name, 'multiple_headings.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertTrue(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'multiple_headings_expected.html', strip=True).strip()
self.assertEqual(expected_string, converted_test_string)
def test_multiple_level_one_headings(self):
'''Tests that only the first of the level one headings is
removed.
'''
test_string = self.read_test_file(self.processor_name, 'multiple_level_one_headings.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertTrue(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'multiple_level_one_headings_expected.html', strip=True).strip()
self.assertEqual(expected_string, converted_test_string)
def test_no_headings(self):
'''Tests that the text of a document with no heading is
unchanged.
'''
test_string = self.read_test_file(self.processor_name, 'no_headings.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertFalse(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'no_headings_expected.html', strip=True)
self.assertEqual(expected_string, converted_test_string)
def test_level_two_heading(self):
'''Tests that a level two heading is also removed if found
first.
'''
test_string = self.read_test_file(self.processor_name, 'level_two_heading.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertTrue(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'level_two_heading_expected.html', strip=True)
self.assertEqual(expected_string, converted_test_string)
def test_no_heading_permalink(self):
'''Tests that generic text with a permalink is uneffected.
(So that there is no assumption of removing the first
permalink)
'''
test_string = self.read_test_file(self.processor_name, 'no_heading_permalink.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertFalse(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'no_heading_permalink_expected.html', strip=True)
self.assertEqual(expected_string, converted_test_string)
def test_no_space_title(self):
'''Tests that the all the heading is removed if spaces
are present.
'''
test_string = self.read_test_file(self.processor_name, 'no_space_title.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertTrue(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'no_space_title_expected.html', strip=True).strip()
self.assertEqual(expected_string, converted_test_string)
def test_heading_not_first_line(self):
'''Tests that the all the heading is removed if spaces
are present.
'''
test_string = self.read_test_file(self.processor_name, 'heading_not_first_line.md')
processor = RemoveTitlePreprocessor(self.ext, self.md.parser)
self.assertFalse(processor.test(test_string))
converted_test_string = markdown.markdown(test_string, extensions=[self.verto_extension])
expected_string = self.read_test_file(self.processor_name, 'heading_not_first_line_expected.html', strip=True).strip()
self.assertEqual(expected_string, converted_test_string)
# SYSTEM TESTS
def test_processor_off(self):
'''Tests that disabling the processor, leaves the document
unchanged.
'''
# Create Verto extension without processor enabled (off by default)
verto_extension = VertoExtension()
test_string = self.read_test_file(self.processor_name, 'processor_off.md')
converted_test_string = markdown.markdown(test_string, extensions=[verto_extension])
expected_string = self.read_test_file(self.processor_name, 'processor_off_expected.html', strip=True)
self.assertEqual(expected_string, converted_test_string)
| 46.620438
| 131
| 0.729294
| 775
| 6,387
| 5.72129
| 0.136774
| 0.099233
| 0.072846
| 0.073072
| 0.7447
| 0.7447
| 0.7447
| 0.7447
| 0.732296
| 0.72959
| 0
| 0
| 0.181619
| 6,387
| 136
| 132
| 46.963235
| 0.848288
| 0.133239
| 0
| 0.452055
| 0
| 0
| 0.092409
| 0.073852
| 0
| 0
| 0
| 0
| 0.232877
| 1
| 0.136986
| false
| 0
| 0.068493
| 0
| 0.219178
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2491eeace2dc4a00530b94b919c6f1ee99f7802b
| 25,442
|
py
|
Python
|
project/test_views.py
|
postpdm/ich_bau
|
c4cd0ae78a2337c94a02bc8f0d42483ca1a1477f
|
[
"Apache-2.0"
] | 1
|
2021-11-25T19:37:01.000Z
|
2021-11-25T19:37:01.000Z
|
project/test_views.py
|
postpdm/ich_bau
|
c4cd0ae78a2337c94a02bc8f0d42483ca1a1477f
|
[
"Apache-2.0"
] | 197
|
2017-09-06T22:54:20.000Z
|
2022-02-05T00:04:13.000Z
|
project/test_views.py
|
postpdm/ich_bau
|
c4cd0ae78a2337c94a02bc8f0d42483ca1a1477f
|
[
"Apache-2.0"
] | 2
|
2017-11-08T02:13:03.000Z
|
2020-09-30T19:48:12.000Z
|
from django.contrib.auth.models import User, Permission
from django.test import TestCase, Client
from django.urls import reverse_lazy
from .models import Project, Task, Milestone, Get_Profiles_Available2Task, Get_Profile_Tasks, TaskCheckList, TaskLink, PROJECT_VISIBLE_PRIVATE, PROJECT_VISIBLE_VISIBLE, PROJECT_VISIBLE_OPEN, TASK_PROFILE_PRIORITY_RESPONSIBLE_FULL, TASK_PROFILE_PRIORITY_RESPONSIBLE_HOLDER, Sub_Project
from ich_bau.profiles.models import Profile, PROFILE_TYPE_RESOURCE, Profile_Manage_User
TEST_USER_NAME = 'test_user'
TEST_USER_EMAIL = 'test_user@nothere.com'
TEST_USER_PW = 'test_user_pw'
TEST_PROJECT_1_FULLNAME = 'TEST PROJECT #1 FULL NAME'
TEST_PROJECT_1_DESCRIPTION_1 = 'First version of description'
TEST_PROJECT_1_DESCRIPTION_2 = 'Second version description'
TEST_PROJECT_2_FULLNAME = 'TEST PROJECT #2 FULL NAME'
TEST_PROJECT_2_DESCRIPTION_1 = 'First description'
TEST_TASK_FULLNAME = 'TEST TASK #1 FULL NAME'
TEST_TASK_IN_MILESTONE_FULLNAME = 'TEST TASK #2 IN MILESTONE FULL NAME'
TEST_MILESTONE_FULLNAME = 'TEST MILESTONE #1 FULL NAME'
TEST_MILESTONE_FULLNAME_2 = 'TEST MILESTONE #1 NEW FULL NAME'
TASK_CHECK_CAPTION = 'Do it!'
TEST_SUB_PROJECT_FULLNAME = 'TEST PROJECT #1 - SU PROJECT #1'
TEST_SUB_PROJECT_FULLNAME_CHANGED = 'TEST PROJECT #1 - SUB PROJECT #1'
class Project_View_Test_Client(TestCase):
def test_Project_All_Public(self):
c = Client()
response = c.get( reverse_lazy('project:all_public') )
self.assertEqual( response.status_code, 200 )
def test_Project_All_Available(self):
c = Client()
response = c.get( reverse_lazy('project:all_available') )
self.assertEqual( response.status_code, 200 )
def test_Search_Project_Page_is_200(self):
c = Client()
response = c.get( reverse_lazy('project:search_public') )
self.assertContains(response, '0 found.', status_code=200 )
def test_Project_Index(self):
c = Client()
response = c.get( reverse_lazy('project:index') )
self.assertContains(response, 'Please, log in to see your projects.', status_code=200 )
def test_Long_Long(self):
# no projects here
self.assertEqual( Project.objects.count(), 0 )
# create user
if not User.objects.filter( username = TEST_USER_NAME ).exists():
test_user = User.objects.create_user( username = TEST_USER_NAME, password = TEST_USER_PW )
c = Client()
# check for project search page is available for anon
response = c.get( reverse_lazy('project:search_public'), { 'fullname' : TEST_PROJECT_1_FULLNAME } )
self.assertContains(response, '0 found.', status_code=200 )
# log in
res = c.login( username = TEST_USER_NAME, password = TEST_USER_PW )
self.assertTrue( res )
# create new project with post
response = c.post( reverse_lazy('project:project_add'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'description' : TEST_PROJECT_1_DESCRIPTION_1, } )
# forbidden
self.assertEqual( response.status_code, 403 )
self.assertEqual( Project.objects.count(), 0 )
# need to add the permissions
add_project_permission = Permission.objects.get(codename='add_project')
test_user.user_permissions.add( add_project_permission )
response = c.post( reverse_lazy('project:project_add'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'private_type' : PROJECT_VISIBLE_VISIBLE, 'description' : TEST_PROJECT_1_DESCRIPTION_1, } )
# we are redirected to new project page
self.assertEqual( response.status_code, 302 )
# check project is created
self.assertEqual( Project.objects.count(), 1 )
test_project_1 = Project.objects.get(id=1)
self.assertEqual( response.url, test_project_1.get_absolute_url() )
self.assertEqual( test_project_1.fullname, TEST_PROJECT_1_FULLNAME )
self.assertEqual( test_project_1.description, TEST_PROJECT_1_DESCRIPTION_1 )
self.assertTrue( test_project_1.is_member( test_user ) )
# check - new project is available in search page
response = c.get( reverse_lazy('project:search_public'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'description' : TEST_PROJECT_1_DESCRIPTION_1, } )
self.assertContains(response, '1 found.', status_code=200 )
response = c.get( reverse_lazy('project:search_public'), { 'fullname' : '-no-', 'description' : '-no-' } )
self.assertContains(response, '0 found.', status_code=200 )
# check - project page is available
response = c.get( reverse_lazy('project:project_view', args = (test_project_1.id,) ) )
self.assertContains(response, TEST_PROJECT_1_FULLNAME, status_code=200 )
# check - project unknown is 404
response = c.get( reverse_lazy('project:project_view', args = (9999999999,) ) )
self.assertEqual(response.status_code, 404 )
# check - project unknown page is 404
response = c.get( reverse_lazy('project:project_view', args = (test_project_1.id,) ) + '/page_unknown' )
self.assertEqual(response.status_code, 404 )
# check - project history page is available
response = c.get( reverse_lazy('project:project_history', args = (test_project_1.id,) ) )
self.assertContains(response, TEST_PROJECT_1_FULLNAME, status_code=200 )
# check - project milestone list page is available
response = c.get( reverse_lazy('project:project_view_milestones', args = (test_project_1.id,) ) )
self.assertContains(response, TEST_PROJECT_1_FULLNAME, status_code=200 )
# check - project closed task list page is available
response = c.get( reverse_lazy('project:project_view_closed_tasks', args = (test_project_1.id,) ) )
self.assertContains(response, TEST_PROJECT_1_FULLNAME, status_code=200 )
# check - project search task list page is available
response = c.get( reverse_lazy('project:project_view_search_tasks', args = (test_project_1.id,) ) )
self.assertContains(response, TEST_PROJECT_1_FULLNAME, status_code=200 )
# check - project search view files page is available
response = c.get( reverse_lazy('project:project_view_files', args = (test_project_1.id,) ) )
self.assertContains(response, TEST_PROJECT_1_FULLNAME, status_code=200 )
# https://github.com/postpdm/ich_bau/commit/fe1d5b55cf926e8b795598de0a40b4332b7f140c
# check - try to create the repo for this project
# response = c.get( reverse_lazy('project:project_create_repo', args = (test_project_1.id,) ), follow=True )
# self.assertRedirects(response, reverse_lazy('project:project_view_files', args = (test_project_1.id,) ) )
# self.assertContains(response, TEST_PROJECT_FULLNAME, status_code=200 )
# self.assertContains(response, "You successfully create the repo for this project!", status_code=200 )
# check - try to create the repo for this project AGAIN - should print "already have!"
# response = c.get( reverse_lazy('project:project_create_repo', args = (test_project_1.id,) ), follow=True )
# self.assertRedirects(response, reverse_lazy('project:project_view_files', args = (test_project_1.id,) ) )
# self.assertContains(response, TEST_PROJECT_FULLNAME, status_code=200 )
# self.assertContains(response, "Project already have a repo!", status_code=200 )
# check form posting from edit page - set new description
response = c.post( reverse_lazy('project:project_edit', args = (test_project_1.id,)), { 'fullname' : TEST_PROJECT_1_FULLNAME,
'private_type' : test_project_1.private_type, 'description' : TEST_PROJECT_1_DESCRIPTION_2, } )
self.assertEqual(response.status_code, 302 )
# refresh object from db
test_project_1.refresh_from_db()
# is description actually changed?
self.assertEqual( test_project_1.description, TEST_PROJECT_1_DESCRIPTION_2 )
response = c.get( reverse_lazy('project:search_public'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'description' : TEST_PROJECT_1_DESCRIPTION_1 } )
self.assertContains(response, '0 found.', status_code=200 )
response = c.get( reverse_lazy('project:search_public'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'description' : TEST_PROJECT_1_DESCRIPTION_2 } )
self.assertContains(response, '1 found.', status_code=200 )
self.assertEqual( Task.objects.count(), 0 )
# create first task
response = c.post( reverse_lazy('project:task_add', args = (test_project_1.id,) ), { 'fullname' : TEST_TASK_FULLNAME, } )
# we are redirected to new task page
self.assertEqual( response.status_code, 302 )
self.assertEqual( Task.objects.count(), 1 )
# get object
test_task_1 = Task.objects.get(id=1)
# check url
self.assertEqual( response.url, test_task_1.get_absolute_url() )
# check name
self.assertEqual( test_task_1.fullname, TEST_TASK_FULLNAME )
# check task is in project
self.assertEqual( test_task_1.project, test_project_1 )
# visit task page
response = c.get( reverse_lazy('project:task_view', args = (test_task_1.id,) ) )
self.assertContains(response, TEST_TASK_FULLNAME, status_code=200 )
# visit task history page
response = c.get( reverse_lazy('project:task_history', args = (test_task_1.id,) ) )
self.assertContains(response, TEST_TASK_FULLNAME, status_code=200 )
# Milestones
self.assertEqual( Milestone.objects.count(), 0 )
# create first milestone
response = c.post( reverse_lazy('project:milestone_add', args = (test_project_1.id,) ), { 'fullname' : TEST_MILESTONE_FULLNAME, } )
# we are redirected to new milestone page
self.assertEqual( response.status_code, 302 )
self.assertEqual( Milestone.objects.count(), 1 )
test_ms_1 = Milestone.objects.get(id=1)
# check url
self.assertEqual( response.url, test_ms_1.get_absolute_url() )
# check name
self.assertEqual( test_ms_1.fullname, TEST_MILESTONE_FULLNAME )
# check milestone is in project
self.assertEqual( test_ms_1.project, test_project_1 )
# visit milestone page
response = c.get( reverse_lazy('project:milestone_view', args = (test_ms_1.id,) ) )
self.assertContains(response, TEST_MILESTONE_FULLNAME, status_code=200 )
# visit milestone history page
response = c.get( reverse_lazy('project:milestone_history', args = (test_ms_1.id,) ) )
self.assertContains(response, TEST_MILESTONE_FULLNAME, status_code=200 )
# edit milestone
response = c.post( reverse_lazy('project:milestone_edit', args = (test_ms_1.id,) ), { 'fullname' : TEST_MILESTONE_FULLNAME_2, } )
# we are redirected to edited milestone page
self.assertEqual( response.status_code, 302 )
self.assertEqual( Milestone.objects.count(), 1 )
test_ms_1.refresh_from_db()
self.assertEqual( test_ms_1.fullname, TEST_MILESTONE_FULLNAME_2 )
# task_checklist
response = c.get( reverse_lazy('project:task_checklist', args = (0,) ) )
self.assertEqual( response.status_code, 404 )
# create task from milestone
response = c.post( reverse_lazy('project:task_add_to_milestone', args = (test_ms_1.id, ) ), { 'fullname' : TEST_TASK_IN_MILESTONE_FULLNAME, 'milestone' : test_ms_1.id } )
# we are redirected to new task page
self.assertEqual( response.status_code, 302 )
test_task_2 = Task.objects.get(fullname=TEST_TASK_IN_MILESTONE_FULLNAME)
self.assertEqual( test_task_2.milestone.id, test_ms_1.id )
# profiles
avail_profiles = Get_Profiles_Available2Task( test_task_2.id )
self.assertEqual( avail_profiles.count(), 1 )
self.assertEqual( avail_profiles.filter( user = test_user ).count(), 1 )
self.assertEqual( test_task_2.get_profiles().count(), 0 )
new_resource = Profile( profile_type = PROFILE_TYPE_RESOURCE, name = 'Resource' )
new_resource.save()
self.assertEqual( avail_profiles.count(), 2 )
self.assertEqual( Get_Profile_Tasks( new_resource ).count(), 0 )
response = c.post( reverse_lazy('project:add_profile', args = (test_task_2.id, ) ), { 'profile' : new_resource.id, 'priority' : TASK_PROFILE_PRIORITY_RESPONSIBLE_FULL, } )
# we are redirected to new task page
self.assertEqual( response.status_code, 302 )
self.assertEqual( test_task_2.get_profiles().count(), 1 )
self.assertEqual( avail_profiles.count(), 1 )
profile_assigned = test_task_2.get_profiles().first()
self.assertEqual( profile_assigned.get_priority_caption(), 'Full responsible' )
self.assertEqual( profile_assigned.get_allowed_priority(), ( (0, 'Interested'), (2, 'Holder'), (3, 'Executant') ) )
self.assertEqual( Get_Profile_Tasks( new_resource ).count(), 1 )
response = c.post( reverse_lazy('project:switch_assign_responsibillty', args = (profile_assigned.id, TASK_PROFILE_PRIORITY_RESPONSIBLE_HOLDER ) ) )
# we are redirected to task page
self.assertEqual( response.status_code, 302 )
profile_assigned.refresh_from_db()
self.assertEqual( profile_assigned.get_priority_caption(), 'Holder' )
self.assertEqual( profile_assigned.get_allowed_priority(), ( (0, 'Interested'), (1, 'Full responsible'), (3, 'Executant') ) )
response = c.get( reverse_lazy('profiles_detail', args = (new_resource.id, ) ) )
# can't see the Task in Resource profile - becouse Resource is not managed by test user
self.assertContains(response, test_task_2.fullname, status_code=200 )
self.assertContains(response, 'Projects and tasks assigned to profile (for projects available for you)', status_code=200 )
response = c.get( reverse_lazy('profiles_detail', args = (new_resource.id, ) ) )
# can't see the Task in Resource profile - becouse Resource is not managed by test user
self.assertContains(response, test_task_2.fullname, status_code=200 )
# add control from test_user above new_resource
npmu = Profile_Manage_User( manager_user = test_user, managed_profile = new_resource )
npmu.save()
response = c.get( reverse_lazy('profiles_detail', args = (new_resource.id, ) ) )
# Now can see the Task in Resource profile - becouse Resource is now managed by test user
self.assertContains(response, test_task_2.fullname, status_code=200 )
self.assertContains(response, 'Projects and tasks assigned to managed profiles', status_code=200 )
# task check list
# test wrong task id
response = c.post( reverse_lazy('project:task_checklist', args = (0, ) ) )
self.assertEqual( response.status_code, 404 )
# test check list is empty
self.assertEqual( TaskCheckList.objects.filter( parenttask = test_task_2 ).count(), 0 )
# create one item in the check list
response = c.post( reverse_lazy('project:task_checklist', args = (test_task_2.id, ) ),
{ 'form-TOTAL_FORMS': 3,
'form-INITIAL_FORMS': 0 ,
'form-0-checkname' : TASK_CHECK_CAPTION, } )
self.assertEqual( response.status_code, 302 )
self.assertEqual( TaskCheckList.objects.filter( parenttask = test_task_2 ).count(), 1 )
checks = TaskCheckList.objects.filter( parenttask = test_task_2 )
self.assertEqual( checks.first().checkname, TASK_CHECK_CAPTION )
self.assertFalse( checks.first().check_flag )
# switch check item
check_item = checks.first()
check_item.refresh_from_db()
self.assertEqual( check_item.checkname, TASK_CHECK_CAPTION )
self.assertFalse( check_item.check_flag )
response = c.get( reverse_lazy('project:task_check_switch', args = (check_item.id, ) ) )
check_item.refresh_from_db()
self.assertEqual( check_item.checkname, TASK_CHECK_CAPTION )
self.assertTrue( check_item.check_flag )
# add_linked
self.assertEqual( TaskLink.objects.filter( maintask = test_task_1 ).count(), 0 )
self.assertEqual( TaskLink.objects.filter( maintask = test_task_2 ).count(), 0 )
response = c.post( reverse_lazy('project:add_linked', args = (test_task_1.id, ) ) + '?project=' + str( test_project_1.pk ), { 'subtasks' : test_task_2.id }, )
self.assertEqual( response.status_code, 302 )
self.assertEqual( TaskLink.objects.filter( maintask = test_task_1 ).count(), 1 )
self.assertEqual( TaskLink.objects.filter( maintask = test_task_2 ).count(), 0 )
# task_unlink
# wrong link id raise 404
response = c.post( reverse_lazy('project:task_unlink', args = (0, ) ) )
self.assertEqual( response.status_code, 404 )
# unlink previously created link
response = c.post( reverse_lazy('project:task_unlink', args = (TaskLink.objects.first().id, ) ) )
self.assertEqual( response.status_code, 302 )
self.assertEqual( TaskLink.objects.filter( maintask = test_task_1 ).count(), 0 )
self.assertEqual( TaskLink.objects.filter( maintask = test_task_2 ).count(), 0 )
# test domains
# wrong link id raise 404
response = c.post( reverse_lazy('project:project_task_domain_unlink', args = (0, ) ) )
self.assertEqual( response.status_code, 404 )
# test report
response = c.post( reverse_lazy('project:project_view_report_all_tasks', args = (test_project_1.id, ) ) )
self.assertEqual( response.status_code, 200 )
self.assertContains(response, test_task_1.fullname, status_code=200 )
self.assertContains(response, test_task_2.fullname, status_code=200 )
def test_sub_projects(self):
# no projects here
self.assertEqual( Project.objects.count(), 0 )
# create user
if not User.objects.filter( username = TEST_USER_NAME ).exists():
test_user = User.objects.create_user( username = TEST_USER_NAME, password = TEST_USER_PW )
c = Client()
# log in
res = c.login( username = TEST_USER_NAME, password = TEST_USER_PW )
self.assertTrue( res )
add_project_permission = Permission.objects.get(codename='add_project')
test_user.user_permissions.add( add_project_permission )
response = c.post( reverse_lazy('project:project_add'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'private_type' : PROJECT_VISIBLE_VISIBLE, 'description' : TEST_PROJECT_1_DESCRIPTION_1, } )
# we are redirected to new project page
self.assertEqual( response.status_code, 302 )
# check project is created
self.assertEqual( Project.objects.count(), 1 )
test_project_1 = Project.objects.get(id=1)
self.assertEqual( response.url, test_project_1.get_absolute_url() )
self.assertEqual( test_project_1.fullname, TEST_PROJECT_1_FULLNAME )
self.assertEqual( test_project_1.description, TEST_PROJECT_1_DESCRIPTION_1 )
self.assertTrue( test_project_1.is_member( test_user ) )
self.assertFalse( test_project_1.use_sub_projects )
response = c.get( reverse_lazy('project:project_view', args = (test_project_1.id,) ) )
# project doesn't contain SUB projects
self.assertNotContains(response, 'Sub projects', status_code=200 )
response = c.get( reverse_lazy('project:project_view_sub_projects', args = (test_project_1.id,) ) )
self.assertEqual( response.status_code, 404 )
response = c.post( reverse_lazy('project:project_edit', args = (test_project_1.id,)), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'private_type' : PROJECT_VISIBLE_VISIBLE, 'use_sub_projects' : True, } )
self.assertEqual(response.status_code, 302 )
# refresh object from db
test_project_1.refresh_from_db()
# is use_sub_projects actually changed?
self.assertTrue( test_project_1.use_sub_projects )
response = c.get( reverse_lazy('project:project_view_sub_projects', args = (test_project_1.id,) ) )
self.assertContains(response, 'Sub projects', count = 2, status_code=200 )
response = c.post( reverse_lazy('project:sub_project_add', args = (test_project_1.id,)), { 'fullname' : TEST_SUB_PROJECT_FULLNAME, } )
self.assertEqual(response.status_code, 302 )
sub_project_1 = Sub_Project.objects.get(id=1)
self.assertEqual( sub_project_1.project, test_project_1 )
self.assertEqual( sub_project_1.fullname, TEST_SUB_PROJECT_FULLNAME )
self.assertEqual( sub_project_1.get_absolute_url(), '/project/sub_project/1/' )
response = c.get( reverse_lazy('project:sub_project_view', args = (sub_project_1.id,) ) )
self.assertContains(response, TEST_SUB_PROJECT_FULLNAME, status_code=200 )
response = c.post( reverse_lazy('project:sub_project_edit', args = (test_project_1.id,)), { 'fullname' : TEST_SUB_PROJECT_FULLNAME_CHANGED, } )
self.assertEqual(response.status_code, 302 )
sub_project_1.refresh_from_db()
self.assertEqual( sub_project_1.fullname, TEST_SUB_PROJECT_FULLNAME_CHANGED )
response = c.get( reverse_lazy('project:sub_project_view', args = (sub_project_1.id,) ) )
self.assertContains(response, TEST_SUB_PROJECT_FULLNAME_CHANGED, status_code=200 )
response = c.get( reverse_lazy('project:sub_project_history', args = (sub_project_1.id,) ) )
self.assertContains(response, TEST_SUB_PROJECT_FULLNAME_CHANGED, status_code=200 )
self.assertContains(response, TEST_SUB_PROJECT_FULLNAME, status_code=200 )
def test_move_task_to_another_project(self):
self.assertEqual( Project.objects.count(), 0 )
# create user
if not User.objects.filter( username = TEST_USER_NAME ).exists():
test_user = User.objects.create_user( username = TEST_USER_NAME, password = TEST_USER_PW )
c = Client()
# log in
res = c.login( username = TEST_USER_NAME, password = TEST_USER_PW )
self.assertTrue( res )
add_project_permission = Permission.objects.get(codename='add_project')
test_user.user_permissions.add( add_project_permission )
response = c.post( reverse_lazy('project:project_add'), { 'fullname' : TEST_PROJECT_1_FULLNAME, 'private_type' : PROJECT_VISIBLE_VISIBLE, 'description' : TEST_PROJECT_1_DESCRIPTION_1, } )
# we are redirected to new project page
self.assertEqual( response.status_code, 302 )
# check project is created
self.assertEqual( Project.objects.count(), 1 )
test_project_1 = Project.objects.get(id=1)
# have not such tasks
response = c.get( reverse_lazy('project:task_move2project_dialog', args = ( 0, ) ) )
self.assertEqual(response.status_code, 404 )
# yet have not such tasks
response = c.get( reverse_lazy('project:task_move2project_dialog', args = ( 1000, ) ) )
self.assertEqual(response.status_code, 404 )
response = c.post( reverse_lazy('project:task_add', args = (test_project_1.id,) ), { 'fullname' : TEST_TASK_FULLNAME, } )
# we are redirected to new task page
self.assertEqual( response.status_code, 302 )
self.assertEqual( Task.objects.count(), 1 )
test_task_1 = Task.objects.get(id=1)
# try to select the real task
response = c.get( reverse_lazy('project:task_move2project_dialog', args = ( test_task_1.id, ) ) )
self.assertContains(response, 'Move task', status_code=200 )
self.assertContains(response, 'You have no available project to select.', status_code=200 )
# target zero poject
response = c.get( reverse_lazy('project:task_move2project_check', args = ( test_task_1.id, 0 ) ) )
self.assertEqual( response.status_code, 200 )
response = c.get( reverse_lazy('project:task_move2project_check', args = ( test_task_1.id, 10000 ) ) )
self.assertEqual( response.status_code, 404 )
# make second project
response = c.post( reverse_lazy('project:project_add'), { 'fullname' : TEST_PROJECT_2_FULLNAME, 'private_type' : PROJECT_VISIBLE_VISIBLE, 'description' : TEST_PROJECT_2_DESCRIPTION_1, } )
# we are redirected to new project page
self.assertEqual( response.status_code, 302 )
# check project is created
self.assertEqual( Project.objects.count(), 2 )
test_project_2 = Project.objects.get(id=2)
self.assertEqual( test_project_2.fullname, TEST_PROJECT_2_FULLNAME )
# now we have a second project to move to
response = c.get( reverse_lazy('project:task_move2project_dialog', args = ( test_task_1.id, ) ) )
self.assertNotContains(response, 'You have no available project to select.', status_code=200 )
self.assertContains(response, TEST_PROJECT_2_FULLNAME )
response = c.get( reverse_lazy('project:task_move2project_check', args = ( test_task_1.id, test_project_2.id ) ) )
self.assertEqual( response.status_code, 302 )
test_task_1.refresh_from_db()
self.assertEqual( test_task_1.project, test_project_2 )
| 51.39798
| 284
| 0.691376
| 3,218
| 25,442
| 5.180547
| 0.069298
| 0.062024
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| 0.779917
| 0.747346
| 0.708656
| 0.630916
| 0.571591
| 0
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| 0.205094
| 25,442
| 494
| 285
| 51.502024
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| false
| 0.021661
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| 0
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| 0
| 0
| 0
| 0
|
0
| 5
|
24ac737e2b8f56bab4b89646c5ab8af64d35d730
| 141
|
py
|
Python
|
kitchensink/testutils/samplemodule.py
|
hhuuggoo/kitchensink
|
1f81050fec7eace52e0b4e1b47851b649a4e4d33
|
[
"BSD-3-Clause"
] | 2
|
2015-03-17T05:02:42.000Z
|
2016-04-07T15:02:28.000Z
|
kitchensink/testutils/samplemodule.py
|
hhuuggoo/kitchensink
|
1f81050fec7eace52e0b4e1b47851b649a4e4d33
|
[
"BSD-3-Clause"
] | null | null | null |
kitchensink/testutils/samplemodule.py
|
hhuuggoo/kitchensink
|
1f81050fec7eace52e0b4e1b47851b649a4e4d33
|
[
"BSD-3-Clause"
] | 1
|
2015-10-07T21:50:44.000Z
|
2015-10-07T21:50:44.000Z
|
from kitchensink.testutils import testrpc
from kitchensink.rpc.server import register_rpc
rpc = testrpc.make_rpc()
register_rpc(rpc, 'test')
| 28.2
| 47
| 0.822695
| 20
| 141
| 5.65
| 0.5
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| 0
| 0
|
0
| 5
|
24f2f4c6839b8b09ddf4625295524d95c08c8045
| 20
|
py
|
Python
|
checkov/version.py
|
RobertYoung/checkov
|
cd729b39e62200870d7085ba736a0607fb5f8779
|
[
"Apache-2.0"
] | null | null | null |
checkov/version.py
|
RobertYoung/checkov
|
cd729b39e62200870d7085ba736a0607fb5f8779
|
[
"Apache-2.0"
] | null | null | null |
checkov/version.py
|
RobertYoung/checkov
|
cd729b39e62200870d7085ba736a0607fb5f8779
|
[
"Apache-2.0"
] | null | null | null |
version = '2.0.535'
| 10
| 19
| 0.6
| 4
| 20
| 3
| 1
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| 0.294118
| 0.15
| 20
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| 20
| 0.411765
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| 1
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| null | 0
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| 0
| 0
|
0
| 5
|
7024b00ad2dcadc6498bdfff3382b0e0d9cf0d38
| 691
|
py
|
Python
|
TrekBot2_WS/build/octomap_msgs/catkin_generated/pkg.develspace.context.pc.py
|
Rafcin/TrekBot
|
d3dc63e6c16a040b16170f143556ef358018b7da
|
[
"Unlicense"
] | 1
|
2019-11-07T08:06:26.000Z
|
2019-11-07T08:06:26.000Z
|
TrekBot2_WS/build/octomap_msgs/catkin_generated/pkg.develspace.context.pc.py
|
Rafcin/TrekBot
|
d3dc63e6c16a040b16170f143556ef358018b7da
|
[
"Unlicense"
] | null | null | null |
TrekBot2_WS/build/octomap_msgs/catkin_generated/pkg.develspace.context.pc.py
|
Rafcin/TrekBot
|
d3dc63e6c16a040b16170f143556ef358018b7da
|
[
"Unlicense"
] | null | null | null |
# generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/xavier_ssd/TrekBot/TrekBot2_WS/devel/.private/octomap_msgs/include;/xavier_ssd/TrekBot/TrekBot2_WS/src/octomap_msgs/include".split(';') if "/xavier_ssd/TrekBot/TrekBot2_WS/devel/.private/octomap_msgs/include;/xavier_ssd/TrekBot/TrekBot2_WS/src/octomap_msgs/include" != "" else []
PROJECT_CATKIN_DEPENDS = "message_runtime;geometry_msgs;std_msgs".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "octomap_msgs"
PROJECT_SPACE_DIR = "/xavier_ssd/TrekBot/TrekBot2_WS/devel/.private/octomap_msgs"
PROJECT_VERSION = "0.3.3"
| 76.777778
| 315
| 0.790159
| 97
| 691
| 5.268041
| 0.43299
| 0.129159
| 0.156556
| 0.234834
| 0.499022
| 0.499022
| 0.499022
| 0.499022
| 0.499022
| 0.403131
| 0
| 0.01227
| 0.05644
| 691
| 8
| 316
| 86.375
| 0.771472
| 0.078148
| 0
| 0
| 1
| 0.285714
| 0.576378
| 0.543307
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
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| 1
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| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7026da99ebf8d64555f8062ecd777daaf4186a49
| 373
|
py
|
Python
|
octicons16px/file_directory.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | 1
|
2021-01-28T06:47:39.000Z
|
2021-01-28T06:47:39.000Z
|
octicons16px/file_directory.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
octicons16px/file_directory.py
|
andrewp-as-is/octicons16px.py
|
1272dc9f290619d83bd881e87dbd723b0c48844c
|
[
"Unlicense"
] | null | null | null |
OCTICON_FILE_DIRECTORY = """
<svg class="octicon octicon-file-directory" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M1.75 1A1.75 1.75 0 000 2.75v10.5C0 14.216.784 15 1.75 15h12.5A1.75 1.75 0 0016 13.25v-8.5A1.75 1.75 0 0014.25 3h-6.5a.25.25 0 01-.2-.1l-.9-1.2c-.33-.44-.85-.7-1.4-.7h-3.5z"></path></svg>
"""
| 74.6
| 338
| 0.659517
| 87
| 373
| 2.804598
| 0.643678
| 0.04918
| 0.061475
| 0.07377
| 0.07377
| 0
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| 0
| 0
| 0
| 0
| 0.329377
| 0.096515
| 373
| 4
| 339
| 93.25
| 0.394659
| 0
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| 0.333333
| 0.913978
| 0.223118
| 0
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| 0
| 0
| 0
|
0
| 5
|
7036c95643b9a84dab13c5bbd8627a6b579fcd70
| 14
|
py
|
Python
|
python/testData/psi/FStringContainsHashSignInFormatPart.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/psi/FStringContainsHashSignInFormatPart.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/psi/FStringContainsHashSignInFormatPart.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
s = f'{42:#b}'
| 14
| 14
| 0.357143
| 4
| 14
| 1.25
| 1
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| 0.166667
| 0.142857
| 14
| 1
| 14
| 14
| 0.25
| 0
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| 0.466667
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7051925a56d45c2c8f67c4bcf3a711d59c87da00
| 358
|
py
|
Python
|
models/__init__.py
|
po3na4skld/rl-trade
|
abf1a88159e0e5950e3a6d880d39eb7a74264581
|
[
"MIT"
] | 3
|
2019-01-25T19:20:02.000Z
|
2020-08-03T03:00:18.000Z
|
models/__init__.py
|
po3na4skld/rl-trade
|
abf1a88159e0e5950e3a6d880d39eb7a74264581
|
[
"MIT"
] | null | null | null |
models/__init__.py
|
po3na4skld/rl-trade
|
abf1a88159e0e5950e3a6d880d39eb7a74264581
|
[
"MIT"
] | null | null | null |
class Environment:
def buy(self):
raise NotImplementedError
def sell(self):
raise NotImplementedError
def hold(self):
raise NotImplementedError
def reset(self):
raise NotImplementedError
def step(self):
raise NotImplementedError
def update_state(self):
raise NotImplementedError
| 17.047619
| 33
| 0.653631
| 33
| 358
| 7.060606
| 0.393939
| 0.23176
| 0.72103
| 0.665236
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.293296
| 358
| 20
| 34
| 17.9
| 0.920949
| 0
| 0
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.461538
| false
| 0
| 0
| 0
| 0.538462
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
705ad6ecc8766db1c8b0bb9c57d8fdfa001c354b
| 28,398
|
py
|
Python
|
models/euvac.py
|
shibaji7/model.CODE_BASE
|
1ef8cffbbde1dbb05c405aedd1c0cac612ac6330
|
[
"Apache-2.0"
] | null | null | null |
models/euvac.py
|
shibaji7/model.CODE_BASE
|
1ef8cffbbde1dbb05c405aedd1c0cac612ac6330
|
[
"Apache-2.0"
] | null | null | null |
models/euvac.py
|
shibaji7/model.CODE_BASE
|
1ef8cffbbde1dbb05c405aedd1c0cac612ac6330
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
"""euvac.py: euvac instatntiate EUVAC model and EUCAV+ model definations."""
__author__ = "Chakraborty, S."
__copyright__ = "Copyright 2019, SuperDARN@VT"
__credits__ = []
__license__ = "MIT"
__version__ = "1.0."
__maintainer__ = "Chakraborty, S."
__email__ = "shibaji7@vt.edu"
__status__ = "Research"
import os
import numpy as np
import pandas as pd
import pyglow
import datetime as dt
import utils
from constant import *
class EuvacBase(object):
"""
This method is from Karthik's paper / Descertaion
"""
"""
Number of wavelength bins & initialize model
"""
n_wave = 37
solspec = {
"n_wave" : n_wave ,
"current" : np.array(n_wave),
"reference" : np.array(n_wave),
"wave1" : np.array(n_wave),
"wave2" : np.array(n_wave),
"afac" : np.array(n_wave),
"xsec" : {},
"eta" : {},
}
"""
Describe GOES wavelength bins in nm (in the descending order of bins)
"""
solspec["GOES_wave1"] = np.array([0.05, 0.1]) * 1e-9
solspec["GOES_wave2"] = np.array([0.4, 0.8]) * 1e-9
"""
Definition of wavelength bins in Amngstorm, reference spectrum, and A-factors
"""
solspec["wave1"] = np.array([1700.00, 1650.00, 1600.00, 1550.00, 1500.00,
1450.00, 1400.00, 1350.00, 1300.00, 1250.00,
1200.00, 1215.67, 1150.00, 1100.00, 1050.00,
1027.00, 987.00, 975.00, 913.00, 913.00,
913.00, 798.00, 798.00, 798.00, 650.00,
650.00, 540.00, 320.00, 290.00, 224.00,
155.00, 70.00, 32.00, 18.00, 8.00,
4.00, 0.50])
solspec["wave2"] = np.array([1750.00, 1700.00, 1650.00, 1600.00, 1550.00,
1500.00, 1450.00, 1400.00, 1350.00, 1300.00,
1250.00, 1215.67, 1200.00, 1150.00, 1100.00,
1050.00, 1027.00, 987.00, 975.00, 975.00,
975.00, 913.00, 913.00, 913.00, 798.00,
798.00, 650.00, 540.00, 320.00, 290.00,
224.00, 155.00, 70.00, 32.00, 18.00,
8.00, 4.00])
"""
Reference solar spectrum, photon /cm^2 /s
"""
solspec["reference"] = np.array([3.397e+11, 1.998e+11, 1.055e+11, 7.260e+10,
5.080e+10, 2.802e+10, 1.824e+10, 1.387e+10,
2.659e+10, 7.790e+09, 1.509e+10, 3.940e+11,
8.399e+09, 3.200e+09, 3.298e+09, 4.235e+09,
4.419e+09, 4.482e+09, 7.156e+08, 1.028e+09,
3.818e+08, 8.448e+08, 3.655e+09, 2.364e+09,
1.142e+09, 1.459e+09, 4.830e+09, 2.861e+09,
8.380e+09, 4.342e+09, 5.612e+09, 1.270e+09,
5.326e+08, 2.850e+07, 2.000e+06, 1.000e+04,
5.010e+01])
"""
Scaling factor A as defined in EUVAC model
"""
solspec["afac"] = np.array([5.937e-04, 6.089e-04, 1.043e-03, 1.125e-03,
1.531e-03, 1.202e-03, 1.873e-03, 2.632e-03,
2.877e-03, 2.610e-03, 3.739e-03, 4.230e-03,
2.541e-03, 2.099e-03, 3.007e-03, 4.825e-03,
5.021e-03, 3.950e-03, 4.422e-03, 4.955e-03,
4.915e-03, 5.437e-03, 5.261e-03, 5.310e-03,
3.680e-03, 5.719e-03, 5.857e-03, 1.458e-02,
7.059e-03, 2.575e-02, 1.433e-02, 9.182e-03,
1.343e-02, 6.247e-02, 2.000e-01, 3.710e-01,
6.240e-01])
"""
Describing absorption crossscetion in m^2 in following order
O, O2, N2, CO, aCO2, O3, bCO2, H2O, NO
"""
solspec["xsec"] = {"abs": {}, "br_ratio": {}}
solspec["xsec"]["abs"]["_desc"] = "Tag 'xsec.abs' provides the absorption cross-section for different species m^2"
solspec["xsec"]["abs"]["species"] = np.array(["O","O2","N2","NO"])
# =======================================================================
# These cross section values are from Karthik's model files
# =======================================================================
solspec["xsec"]["abs"]["O"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 3.79e+00, 4.10e+00, 3.00e+00, 4.79e+00,
8.52e+00, 1.31e+01, 1.07e+01, 7.72e+00, 6.02e+00,
3.78e+00, 1.32e+00, 3.25e-01, 1.05e-01, 1.13e-01,
1.70e-02, 2.27e-03]) * 1e-22
solspec["xsec"]["abs"]["O2"] = np.array([5.00e-01, 1.50e+00, 3.40e+00, 6.00e+00, 1.00e+01,
1.30e+01, 1.50e+01, 1.20e+01, 2.20e+00, 4.00e-01,
1.30e+01, 1.00e-02, 1.40e+00, 4.00e-01, 1.00e+00,
1.15e+00, 1.63e+00, 1.87e+01, 3.25e+01, 1.44e+01,
1.34e+01, 1.33e+01, 1.09e+01, 1.05e+01, 2.49e+01,
2.36e+01, 2.70e+01, 2.03e+01, 1.68e+01, 1.32e+01,
7.63e+00, 2.63e+00, 6.46e-01, 2.10e-01, 2.25e-01,
3.40e-02, 4.54e-03]) * 1e-22
solspec["xsec"]["abs"]["N2"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 2.55e+00, 1.15e+02, 1.44e+01,
2.18e+00, 7.17e+01, 1.31e+01, 2.14e+00, 5.45e+01,
2.30e+01, 2.31e+01, 1.97e+01, 1.17e+01, 9.94e+00,
5.09e+00, 1.53e+00, 3.46e-01, 1.14e+00, 1.41e-01,
2.01e-02, 2.53e-03]) * 1e-22
solspec["xsec"]["abs"]["NO"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 1.85e+00, 2.04e+00,
2.04e+00, 0.00e+00, 2.41e+00, 3.70e+00, 6.48e+00,
3.70e+00, 7.82e+00, 1.98e+01, 2.41e+01, 2.41e+01,
2.41e+01, 1.55e+01, 1.55e+01, 1.55e+01, 1.36e+01,
1.40e+01, 2.00e+01, 2.02e+01, 2.30e+01, 2.40e+01,
2.22e+01, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
solspec["xsec"]["abs"]["CO"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 1.92e+00, 3.53e+00, 5.48e+00, 8.02e+00,
1.00e+01, 1.17e+01, 1.10e+01, 1.25e+01, 1.25e+01,
1.54e+01, 1.47e+01, 1.95e+01, 2.01e+01, 2.01e+01,
2.01e+01, 2.18e+01, 2.18e+01, 2.18e+01, 2.23e+01,
2.22e+01, 2.38e+01, 1.86e+01, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
solspec["xsec"]["abs"]["aCO2"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 4.42e+00, 7.51e+00, 1.10e+01, 1.50e+01,
1.79e+01, 2.12e+01, 2.00e+01, 2.34e+01, 2.34e+01,
2.57e+01, 2.49e+01, 2.83e+01, 2.93e+01, 2.93e+01,
2.93e+01, 3.21e+01, 3.21e+01, 3.21e+01, 3.20e+01,
2.57e+01, 3.36e+01, 2.02e+01, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
solspec["xsec"]["abs"]["O3"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 1.25e+01, 9.20e+00,
9.20e+00, 9.20e+00, 9.16e+00, 9.50e+00, 9.50e+00,
9.50e+00, 1.47e+01, 1.47e+01, 1.47e+01, 2.74e+01,
2.02e+01, 3.33e+01, 7.74e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
solspec["xsec"]["abs"]["bCO2"] = np.array([5.00e-02, 1.00e-01, 1.50e-01, 3.00e-01, 4.00e-01,
5.50e-01, 5.00e-01, 5.00e-01, 8.00e-01, 5.00e-01,
2.00e-01, 0.00e+00, 0.00e+00, 1.85e+01, 1.48e+01,
1.42e+01, 1.66e+01, 3.98e+01, 7.41e+01, 7.41e+01,
7.41e+01, 1.74e+01, 1.74e+01, 1.74e+01, 3.23e+01,
3.31e+01, 3.33e+01, 2.50e+01, 2.34e+01, 2.33e+01,
1.11e+01, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
solspec["xsec"]["abs"]["H2O"] = np.array([5.00e+00, 5.00e+00, 5.00e+00, 3.00e+00, 1.50e+00,
8.00e-01, 8.00e-01, 1.10e+00, 5.00e+00, 8.00e+00,
8.00e+00, 0.00e+00, 4.44e+00, 4.44e+00, 4.44e+00,
1.41e+01, 2.46e+01, 1.10e+01, 1.85e+01, 1.85e+01,
1.85e+01, 2.36e+01, 2.36e+01, 2.36e+01, 3.98e+01,
2.33e+01, 2.28e+01, 2.45e+01, 2.22e+01, 1.91e+01,
1.11e+01, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
solspec["xsec"]["abs"]["CO2"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 4.42e+00, 7.51e+00, 1.10e+01, 1.50e+01,
1.79e+01, 2.12e+01, 2.00e+01, 2.34e+01, 2.34e+01,
2.57e+01, 2.49e+01, 2.83e+01, 2.93e+01, 2.93e+01,
2.93e+01, 3.21e+01, 3.21e+01, 3.21e+01, 3.20e+01,
2.57e+01, 3.36e+01, 2.02e+01, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00]) * 1e-22
"""
Describe the branching ratios
"""
solspec["xsec"]["br_ratio"] = {"O2" : {}, "N2" : {}, "O" : {}, "NO" : {}, "CO": {}, "CO2": {}, "H2O": {}}
solspec["xsec"]["br_ratio"]["O2"]["sub_type"] = np.array(["O2+","D1","Dissoc"])
solspec["xsec"]["br_ratio"]["N2"]["sub_type"] = np.array(["N2+","N1","Dissoc"])
solspec["xsec"]["br_ratio"]["O"]["sub_type"] = np.array(["4S","2D","2P"])
solspec["xsec"]["br_ratio"]["NO"]["sub_type"] = np.array(["NO"])
solspec["xsec"]["br_ratio"]["CO2"]["sub_type"] = np.array(["CO2"])
solspec["xsec"]["br_ratio"]["H2O"]["sub_type"] = np.array(["H2O"])
solspec["xsec"]["br_ratio"]["CO"]["sub_type"] = np.array(["CO"])
# ===================================================
# Branching values
# ===================================================
solspec["xsec"]["br_ratio"]["O2"]["values"] = {"O2+": None,"D1": None, "Dissoc": None}
solspec["xsec"]["br_ratio"]["N2"]["values"] = {"N2+": None,"N1": None, "Dissoc": None}
solspec["xsec"]["br_ratio"]["O"]["values"] = {"4S": None,"2D": None, "2P": None}
solspec["xsec"]["br_ratio"]["NO"]["values"] = {"NO" : None}
solspec["xsec"]["br_ratio"]["CO"]["values"] = {"CO" : None}
solspec["xsec"]["br_ratio"]["CO2"]["values"] = {"CO2" : None}
solspec["xsec"]["br_ratio"]["H2O"]["values"] = {"H2O" : None}
solspec["xsec"]["br_ratio"]["NO"]["values"]["NO"] = np.array([1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00])
solspec["xsec"]["br_ratio"]["H2O"]["values"]["H2O"] = np.array([1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00])
solspec["xsec"]["br_ratio"]["CO2"]["values"]["CO2"] = np.array([1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00])
solspec["xsec"]["br_ratio"]["CO"]["values"]["CO"] = np.array([1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00])
solspec["xsec"]["br_ratio"]["O2"]["values"]["O2+"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.613,
0.830, 0.620, 0.786, 0.756, 0.534,
0.574, 0.549, 0.477, 0.672, 0.874,
0.759, 0.649, 0.624, 0.553, 0.347,
0.108, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00])
solspec["xsec"]["br_ratio"]["O2"]["values"]["D1"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.001, 0.108,
0.240, 0.351, 0.376, 0.447, 0.653,
0.892, 1.0, 1.0, 1.0, 1.0])
solspec["xsec"]["br_ratio"]["O2"]["values"]["Dissoc"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 1.00e+00, 0.387,
0.170, 0.380, 0.214, 0.244, 0.466,
0.426, 0.451, 0.524, 0.327, 0.017,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00])
solspec["xsec"]["br_ratio"]["N2"]["values"]["N2+"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.429, 0.679, 1.000,
0.996, 0.908, 0.754, 0.747, 0.751,
0.717, 0.040, 0.040, 0.040, 0.040])
solspec["xsec"]["br_ratio"]["N2"]["values"]["N1"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.005, 0.093, 0.246, 0.253, 0.249,
0.282, 0.960, 0.960, 0.960, 0.960])
solspec["xsec"]["br_ratio"]["N2"]["values"]["Dissoc"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 0.571, 0.320, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00])
solspec["xsec"]["br_ratio"]["O"]["values"]["4S"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 1.00e+00,
1.00e+00, 1.00e+00, 0.930, 0.655, 0.298,
0.317, 0.346, 0.350, 0.367, 0.389,
0.393, 0.390, 0.390, 0.390, 0.390])
solspec["xsec"]["br_ratio"]["O"]["values"]["2D"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.070, 0.337, 0.451,
0.424, 0.403, 0.402, 0.392, 0.377,
0.374, 0.378, 0.378, 0.378, 0.378])
solspec["xsec"]["br_ratio"]["O"]["values"]["2P"] = np.array([0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.009, 0.252,
0.260, 0.246, 0.241, 0.233, 0.227,
0.226, 0.224, 0.224, 0.224, 0.224])
"""
Describe secondary ionization ratios for O, N2 and O2
"""
solspec["eta"]["_desc"] = "Secondary ionization ratio per EUVAC bin"
solspec["eta"]["N2"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.031, 0.178, 0.361,
0.933, 2.859, 7.789, 10.834, 32.162,
80.880, 342.66])
solspec["eta"]["O"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.127, 0.418, 0.694,
1.092, 2.192, 4.995, 71.378, 23.562,
50.593, 217.12])
solspec["eta"]["O2"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.024, 0.105, 0.242,
0.579, 1.613, 4.271, 59.953, 20.290,
50.156, 210.83])
solspec["eta"]["NO"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00])
solspec["eta"]["CO"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00])
solspec["eta"]["CO2"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00])
solspec["eta"]["H2O"] = np.array([0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00, 0.00e+00,
0.00e+00, 0.00e+00])
"""
Threshold ionization wavelength in meters
"""
solspec["ionization_wavelength"] = {"O2" : 102.8e-9, "O" : 91.03e-9, "N2" : 79.58e-9,\
"NO" : 133.8e-9, "CO" : 88.49e-9, "H2O": 98.42e-9, "CO2": 90.04e-9}
@staticmethod
def get_solar_flux_by_f107(f107d, f107a):
"""
This method is used to get the solar flux data for a given day by f107 and f107a
f107d <float> = F10.7 data (Daily reading)
f107a <float> = F10.7 81 day average data
local <dict>
"""
P = (f107d + f107a)/2.
local = EuvacBase.solspec
if P < 80.: local["current"] = 0.8*local["reference"] * 1e4
else: local["current"] = local["reference"]*(1. + local["afac"]*(P-80.)) * 1e4
local["wave1"] = local["wave1"] * 1e-10
local["wave2"] = local["wave2"] * 1e-10
local["_desc"] = "Tag 'current' provides the solar spectrum, photon in m^{-2} s^{-1}; 'wave1' and 'wave2' are the wavelengths in m [ bin boundaries (lower and upper)]"
return local
@staticmethod
def get_solar_flux_by_day(dn):
"""self.local
This method is used to estimate solar specific incomming flux for a day [37 EUVAC bins]
dn <datetime> = Date of interest
local <dict>
"""
_, _, f107d, f107a, _, _, _, _, _ = pyglow.get_kpap.get_kpap(dn)
local = EuvacBase.get_solar_flux_by_f107(f107d, f107a)
return local
# =============================================================================
# This part is only used for the photoionization (primary and secondary) and
# modified by GOES X-Ray data lower bins
# =============================================================================
class Euvac(EuvacBase):
"""
This model extends EUVAC model and build on top of that
"""
def __init__(self, dn, start, end):
self.dn = dn
self.data_dict = utils.read_goes(self.dn)
self.local = EuvacBase.get_solar_flux_by_day(self.dn)
lambdas = np.array([np.mean([self.local["GOES_wave1"][0], self.local["GOES_wave2"][0]]),
np.mean([self.local["GOES_wave1"][1], self.local["GOES_wave2"][1]])])
binedE = pconst["h"] * pconst["c"] / lambdas
xray = self.data_dict[(self.data_dict.date>=start) & (self.data_dict.date<=end)]
W = xray[["A_AVG","B_AVG"]].values
pe0 = W[:,0] / binedE[0]
pe1 = W[:,1] / binedE[1]
print("\n Max-min range for smaller wavelength bin (0.05-0.4) nm: " + \
"%s -> %s"%(np.format_float_scientific(max(pe0),precision=2), np.format_float_scientific(min(pe0),precision=2)))
print(" Max-min range for longer wavelength bin (0.1-0.8) nm: " + \
"%s -> %s"%(np.format_float_scientific(max(pe1),precision=2), np.format_float_scientific(min(pe1),precision=2)))
self.local["ref_GOES"] = np.array([pe0,pe1])
self._update_xsec()
return
def _update_xsec(self):
"""
Update cross section for all the species (minor)
"""
species = {"NO":[31,37],"H2O":[31,37],"CO":[31,37],"CO2":[31,37]}
for sps in species:
rng = species[sps]
for i in range(rng[0],rng[1]):
self.local["xsec"]["abs"][sps][i] = self.get_Xsec(self.local["wave1"][i], self.local["wave2"][i], sps)
pass
pass
return
def get_Xsec(self, wave1, wave2, sps):
"""
This method is used to modify the absorption cross section for the
"""
w = np.linspace(wave1,wave2,10)
gram_per_mole = {"CO2": 44., "CO": 28., "NO": 30., "H2O": 18.}
df = pd.read_csv("config/xsec.%s.csv"%sps,sep="|")
lamb = pconst["h"] * pconst["c"] / (np.array(df["Photon"]) * 1e6 \
* pconst["q_e"])
uxsec = (np.array(df["TotC"]) + np.array(df["TotI"])) \
* (gram_per_mole[sps] / pconst["avo"]) * 1e-3
func = utils.extrap1d(lamb, uxsec)
xsec = func(w)
return np.max(xsec)
@staticmethod
def get_solar_flux(dn, start, end):
_euvac = Euvac(dn, start, end)
return _euvac
if __name__ == "__main__":
Euvac.get_solar_flux(dt.datetime(2015,3,11,16,22), dt.datetime(2015,3,11,16), dt.datetime(2015,3,11,17))
pass
| 58.432099
| 175
| 0.438129
| 4,816
| 28,398
| 2.550872
| 0.116071
| 0.306064
| 0.284737
| 0.316809
| 0.601302
| 0.557102
| 0.515914
| 0.471876
| 0.45405
| 0.45405
| 0
| 0.357692
| 0.349954
| 28,398
| 485
| 176
| 58.552577
| 0.307801
| 0.043524
| 0
| 0.369509
| 0
| 0.005168
| 0.064462
| 0.000798
| 0
| 0
| 0
| 0
| 0
| 1
| 0.015504
| false
| 0.007752
| 0.018088
| 0
| 0.059432
| 0.005168
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
70636450ae9de570076824a6e42df94d846e3d1d
| 144
|
py
|
Python
|
minbl/classes/BlogPostAuthor.py
|
Kyuunex/minbl
|
9ab8c8b9c5568261fc4b3d011d364b9a3fae3ed9
|
[
"MIT"
] | null | null | null |
minbl/classes/BlogPostAuthor.py
|
Kyuunex/minbl
|
9ab8c8b9c5568261fc4b3d011d364b9a3fae3ed9
|
[
"MIT"
] | null | null | null |
minbl/classes/BlogPostAuthor.py
|
Kyuunex/minbl
|
9ab8c8b9c5568261fc4b3d011d364b9a3fae3ed9
|
[
"MIT"
] | null | null | null |
class BlogPostAuthor:
def __init__(self, post_db_lookup):
self.id = post_db_lookup[0]
self.display_name = post_db_lookup[1]
| 28.8
| 45
| 0.694444
| 21
| 144
| 4.238095
| 0.619048
| 0.202247
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| 0
| 0
| 0
| 0.017699
| 0.215278
| 144
| 4
| 46
| 36
| 0.769912
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 5
|
70a50974bcfef51bf6c4d592fc5a34130467cf7b
| 116
|
py
|
Python
|
src/modules/rocketchat/rchat_check.py
|
tsuriu/integra
|
94aea81852087aef37f994d4db9dece012d10fd1
|
[
"MIT"
] | 1
|
2021-08-13T00:53:32.000Z
|
2021-08-13T00:53:32.000Z
|
src/modules/rocketchat/rchat_check.py
|
tsuriu/integra
|
94aea81852087aef37f994d4db9dece012d10fd1
|
[
"MIT"
] | null | null | null |
src/modules/rocketchat/rchat_check.py
|
tsuriu/integra
|
94aea81852087aef37f994d4db9dece012d10fd1
|
[
"MIT"
] | null | null | null |
from .rchat import RChat
import os
class RChat_Gets(RChat):
def __init__(self):
super().__init__()
| 19.333333
| 31
| 0.655172
| 15
| 116
| 4.466667
| 0.666667
| 0.328358
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.241379
| 116
| 6
| 31
| 19.333333
| 0.761364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
564a24175f4388b85d288267df64a449318aa78a
| 498
|
py
|
Python
|
pseudo.py
|
dnoonan08/reconstruct_ptychography
|
ee47b7f60f143404fb0351e4bbd84493829d5de0
|
[
"MIT"
] | null | null | null |
pseudo.py
|
dnoonan08/reconstruct_ptychography
|
ee47b7f60f143404fb0351e4bbd84493829d5de0
|
[
"MIT"
] | null | null | null |
pseudo.py
|
dnoonan08/reconstruct_ptychography
|
ee47b7f60f143404fb0351e4bbd84493829d5de0
|
[
"MIT"
] | 1
|
2021-08-12T23:07:27.000Z
|
2021-08-12T23:07:27.000Z
|
# A pseudo Horovod class in case Horovod cannot be imported.
class Hvd(object):
def __init__(self):
pass
def init(self):
pass
def size(self):
return 1
def rank(self):
return 0
def local_rank(self):
return 0
def broadcast_global_variables(self, a):
pass
def DistributedOptimizer(self, op, name=None):
return op
class Mpi(object):
def __init__(self):
pass
def Barrier(self):
pass
| 14.647059
| 60
| 0.582329
| 63
| 498
| 4.428571
| 0.47619
| 0.114695
| 0.11828
| 0.16129
| 0.354839
| 0.172043
| 0
| 0
| 0
| 0
| 0
| 0.009119
| 0.339357
| 498
| 33
| 61
| 15.090909
| 0.838906
| 0.116466
| 0
| 0.45
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.45
| false
| 0.25
| 0
| 0.2
| 0.75
| 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
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
569443666b03b87554c22e3f22af92c5716e3c1a
| 217
|
py
|
Python
|
cla_backend/apps/core/drf/exceptions.py
|
uk-gov-mirror/ministryofjustice.cla_backend
|
4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6
|
[
"MIT"
] | 3
|
2019-10-02T15:31:03.000Z
|
2022-01-13T10:15:53.000Z
|
cla_backend/apps/core/drf/exceptions.py
|
uk-gov-mirror/ministryofjustice.cla_backend
|
4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6
|
[
"MIT"
] | 206
|
2015-01-02T16:50:11.000Z
|
2022-02-16T20:16:05.000Z
|
cla_backend/apps/core/drf/exceptions.py
|
uk-gov-mirror/ministryofjustice.cla_backend
|
4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6
|
[
"MIT"
] | 6
|
2015-03-23T23:08:42.000Z
|
2022-02-15T17:04:44.000Z
|
from rest_framework.exceptions import APIException
from rest_framework import status
class ConflictException(APIException):
status_code = status.HTTP_409_CONFLICT
default_detail = "Resource already exists."
| 27.125
| 50
| 0.824885
| 25
| 217
| 6.92
| 0.72
| 0.092486
| 0.196532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015873
| 0.129032
| 217
| 7
| 51
| 31
| 0.899471
| 0
| 0
| 0
| 0
| 0
| 0.110599
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
56a66773de897d63e1b84d20249c57556df7f70b
| 3,088
|
py
|
Python
|
users/forms.py
|
wendell1101/Learning-Management-System
|
1c5d418e367570be1bb267813e1e07b60157cef5
|
[
"MIT"
] | 3
|
2020-09-25T04:33:58.000Z
|
2020-10-27T14:51:58.000Z
|
users/forms.py
|
wendell1101/Learning-Management-System
|
1c5d418e367570be1bb267813e1e07b60157cef5
|
[
"MIT"
] | 10
|
2020-06-11T13:24:27.000Z
|
2022-03-12T00:34:39.000Z
|
users/forms.py
|
wendell1101/Learning-Management-System
|
1c5d418e367570be1bb267813e1e07b60157cef5
|
[
"MIT"
] | 1
|
2021-07-09T17:59:01.000Z
|
2021-07-09T17:59:01.000Z
|
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
from crud.models import ClassName
from users.models import Profile
class TeacherRegisterForm(UserCreationForm):
first_name= forms.CharField(max_length=50,required=True)
last_name = forms.CharField(max_length=50,required=True)
username = forms.CharField(label=('Username'),max_length=50,required=True)
email = forms.EmailField(
label=("Email"),
max_length=254,
widget=forms.EmailInput(attrs={'autocomplete': 'email'})
)
def clean(self):
cleaned_data = super().clean()
first_name = self.cleaned_data.get('first_name')
last_name = self.cleaned_data.get('last_name')
def __init__(self, *args, **kwargs):
super(UserCreationForm, self).__init__(*args, **kwargs)
for fieldname in ['username', 'password1', 'password2']:
self.fields[fieldname].help_text = None
class Meta:
model = User
fields = ['first_name','last_name','username','email','password1','password2']
def save(self):
user = super().save(commit = False)
user.is_staff = True
user.save()
return user
class StudentRegisterForm(UserCreationForm):
first_name= forms.CharField(label=('Firstname'),max_length=50,required=True)
last_name = forms.CharField(label=('Lastname'),max_length=50,required=True)
username = forms.CharField(label=('Username'),max_length=50,required=True)
email = forms.EmailField(
label=("Email"),
max_length=254,
widget=forms.EmailInput(attrs={'autocomplete': 'email'})
)
def clean(self):
cleaned_data = super().clean()
first_name = self.cleaned_data.get('first_name')
last_name = self.cleaned_data.get('last_name')
def __init__(self, *args, **kwargs):
super(StudentRegisterForm, self).__init__(*args, **kwargs)
for fieldname in ['username', 'password1', 'password2']:
self.fields[fieldname].help_text = None
class Meta:
model = User
fields = ['first_name','last_name','username','email','password1','password2']
class ClassCode(forms.ModelForm):
class Meta:
model = ClassName
fields = ['class_code']
class UserUpdateForm(forms.ModelForm):
first_name= forms.CharField(label=('Firstname'),max_length=50,required=True)
last_name = forms.CharField(label=('Lastname'),max_length=50,required=True)
username = forms.CharField(label=('Username'),max_length=50,required=True)
email = forms.EmailField(
label=("Email"),
max_length=254,
widget=forms.EmailInput(attrs={'autocomplete': 'email'})
)
class Meta:
model = User
fields = ['first_name','last_name','username','email']
class ProfileUpdateForm(forms.ModelForm):
bio = forms.CharField(max_length=255,widget=forms.Textarea(attrs={'rows':2}))
class Meta:
model = Profile
fields =['bio','profile_image']
| 31.835052
| 86
| 0.657707
| 352
| 3,088
| 5.599432
| 0.210227
| 0.059361
| 0.050228
| 0.086758
| 0.721461
| 0.702689
| 0.702689
| 0.702689
| 0.693557
| 0.670726
| 0
| 0.015879
| 0.204663
| 3,088
| 96
| 87
| 32.166667
| 0.786645
| 0
| 0
| 0.605634
| 0
| 0
| 0.121762
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.070423
| false
| 0.056338
| 0.070423
| 0
| 0.478873
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
3b0ee021e9ef952eeecf7c2404efb4a9bb13d33e
| 74
|
py
|
Python
|
StickyDJ-Bot/src/util/parser/message_parser.py
|
JCab09/StickyDJ-Bot
|
feaf2229a6729be6ad022f9105da19192e3a91d3
|
[
"WTFPL"
] | null | null | null |
StickyDJ-Bot/src/util/parser/message_parser.py
|
JCab09/StickyDJ-Bot
|
feaf2229a6729be6ad022f9105da19192e3a91d3
|
[
"WTFPL"
] | null | null | null |
StickyDJ-Bot/src/util/parser/message_parser.py
|
JCab09/StickyDJ-Bot
|
feaf2229a6729be6ad022f9105da19192e3a91d3
|
[
"WTFPL"
] | null | null | null |
"""
"""
class MessageParser(object):
def __init__(self):
pass
| 12.333333
| 28
| 0.581081
| 7
| 74
| 5.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.256757
| 74
| 5
| 29
| 14.8
| 0.709091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
3b2e8cdb683ffb81604d92b8bf2c6a0ff4e1782a
| 535
|
py
|
Python
|
malwarebazaar/bazaar.py
|
Rafiot/bazaar
|
ee61622de49a7ba3fa7c4c8ad07346b36e5e36e0
|
[
"MIT"
] | 15
|
2021-06-16T21:25:27.000Z
|
2022-02-21T10:48:32.000Z
|
malwarebazaar/bazaar.py
|
Rafiot/bazaar
|
ee61622de49a7ba3fa7c4c8ad07346b36e5e36e0
|
[
"MIT"
] | 3
|
2021-09-28T07:33:21.000Z
|
2022-02-21T19:03:23.000Z
|
malwarebazaar/bazaar.py
|
Rafiot/bazaar
|
ee61622de49a7ba3fa7c4c8ad07346b36e5e36e0
|
[
"MIT"
] | 3
|
2021-06-17T20:12:54.000Z
|
2022-02-21T09:31:55.000Z
|
import click
from malwarebazaar.commands.batch import batch
from malwarebazaar.commands.download import download
from malwarebazaar.commands.init import init
from malwarebazaar.commands.query import query
from malwarebazaar.commands.recent import recent
from malwarebazaar.commands.version import version
@click.group("command")
def cli():
pass
cli.add_command(batch)
cli.add_command(init)
cli.add_command(download)
cli.add_command(query)
cli.add_command(recent)
cli.add_command(version)
if __name__ == "__main__":
cli()
| 21.4
| 52
| 0.811215
| 72
| 535
| 5.833333
| 0.277778
| 0.242857
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102804
| 535
| 24
| 53
| 22.291667
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0.028037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055556
| true
| 0.055556
| 0.388889
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
3b583d8317e7be6d757f2914c637db14d19e6be7
| 25
|
py
|
Python
|
module_name/__init__.py
|
darrenleeweber/python_package_template
|
4d8ef92edc15ea42a4bf3d4080ca4fed12fe2038
|
[
"MIT"
] | null | null | null |
module_name/__init__.py
|
darrenleeweber/python_package_template
|
4d8ef92edc15ea42a4bf3d4080ca4fed12fe2038
|
[
"MIT"
] | 1
|
2021-06-01T22:39:08.000Z
|
2021-06-01T22:39:08.000Z
|
module_name/__init__.py
|
dazza-codes/python_package_template
|
4d8ef92edc15ea42a4bf3d4080ca4fed12fe2038
|
[
"MIT"
] | null | null | null |
from .klass import Klass
| 12.5
| 24
| 0.8
| 4
| 25
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8e832c278d8377ddd34645192a1e514aa03afabf
| 91
|
py
|
Python
|
cache_bust.py
|
JesseAldridge/github_quality
|
a5730338d6aeaf16d869c78ae7cb3c60b27d368c
|
[
"MIT"
] | 1
|
2015-10-26T17:54:30.000Z
|
2015-10-26T17:54:30.000Z
|
cache_bust.py
|
JesseAldridge/github_quality
|
a5730338d6aeaf16d869c78ae7cb3c60b27d368c
|
[
"MIT"
] | null | null | null |
cache_bust.py
|
JesseAldridge/github_quality
|
a5730338d6aeaf16d869c78ae7cb3c60b27d368c
|
[
"MIT"
] | null | null | null |
import _2_repo_quality
_2_repo_quality.pull_paths(['laravel/laravel'], ignore_cache=True)
| 22.75
| 66
| 0.835165
| 14
| 91
| 4.857143
| 0.714286
| 0.147059
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 0.054945
| 91
| 3
| 67
| 30.333333
| 0.767442
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8ebcb47dc1d18c7af73fb68fafc2f76dc7614a46
| 62
|
py
|
Python
|
Solutions/Training/Lesson_17/number_solitare.py
|
dev-11/codility-solutions
|
01b0ce4a43b1390fe15f2daabea95e90b834fbfc
|
[
"MIT"
] | null | null | null |
Solutions/Training/Lesson_17/number_solitare.py
|
dev-11/codility-solutions
|
01b0ce4a43b1390fe15f2daabea95e90b834fbfc
|
[
"MIT"
] | null | null | null |
Solutions/Training/Lesson_17/number_solitare.py
|
dev-11/codility-solutions
|
01b0ce4a43b1390fe15f2daabea95e90b834fbfc
|
[
"MIT"
] | null | null | null |
def solution(A):
return 0
print(solution([1,2,3,4,5]))
| 8.857143
| 28
| 0.596774
| 12
| 62
| 3.083333
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 0.193548
| 62
| 6
| 29
| 10.333333
| 0.62
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
d91a6676cf39ac491cd71ff46b6e28540b9697f8
| 90
|
py
|
Python
|
lib/__init__.py
|
oiertwo/pyjokes-stand
|
145f1ffbd3e0c63437ab2a7f0eb7b46eb3ca43b8
|
[
"BSD-3-Clause"
] | 2
|
2019-09-29T19:33:17.000Z
|
2020-10-31T06:53:01.000Z
|
lib/__init__.py
|
oiertwo/pyjokes-stand
|
145f1ffbd3e0c63437ab2a7f0eb7b46eb3ca43b8
|
[
"BSD-3-Clause"
] | 2
|
2019-09-30T21:58:41.000Z
|
2019-12-12T09:10:45.000Z
|
lib/__init__.py
|
oiertwo/pyjokes-stand
|
145f1ffbd3e0c63437ab2a7f0eb7b46eb3ca43b8
|
[
"BSD-3-Clause"
] | 2
|
2019-09-29T19:44:29.000Z
|
2020-10-31T06:53:03.000Z
|
"""Describes package for application library."""
from lib.views import home # noqa: F401
| 30
| 48
| 0.744444
| 12
| 90
| 5.583333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038961
| 0.144444
| 90
| 2
| 49
| 45
| 0.831169
| 0.6
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| 0
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| null | 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d92cccfdfb48b8b23a702ea64c9e6a32a9f0a8d8
| 455
|
py
|
Python
|
pythonAlgorithm/bigcompany/dropegg2.py
|
Sky-zzt/lintcodePractice
|
d6436b296c5865d85e55c8ad4fcdbb0165d4ebb1
|
[
"MIT"
] | 1
|
2020-09-15T07:58:55.000Z
|
2020-09-15T07:58:55.000Z
|
pythonAlgorithm/dp/dropegg2.py
|
Sky-zzt/lintcodePractice
|
d6436b296c5865d85e55c8ad4fcdbb0165d4ebb1
|
[
"MIT"
] | null | null | null |
pythonAlgorithm/dp/dropegg2.py
|
Sky-zzt/lintcodePractice
|
d6436b296c5865d85e55c8ad4fcdbb0165d4ebb1
|
[
"MIT"
] | null | null | null |
class Solution:
"""
@param m: the number of eggs
@param n: the number of floors
@return: the number of drops in the worst case
有一个n层的建筑。如果一个鸡蛋从第k层及以上落下，它会碎掉。如果从低于这一层的任意层落下，都不会碎。
有m个鸡蛋，用最坏的情况下实验次数最少的方法去找到k, 返回最坏情况下所需的实验次数。
https://www.jiuzhang.com/solution/drop-eggs-ii/
https://www.bilibili.com/video/BV1KE41137PK?from=search&seid=9100630831491610103
"""
def dropEggs2(self, m, n):
# write your code here
pass
| 30.333333
| 80
| 0.707692
| 59
| 455
| 5.457627
| 0.745763
| 0.083851
| 0.102484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07027
| 0.186813
| 455
| 15
| 81
| 30.333333
| 0.8
| 0.815385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 0
| 1
| 0.333333
| false
| 0.333333
| 0
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
d94164c1801e875b86faa02ab636668e5421c3ab
| 48
|
py
|
Python
|
diofant/tests/series/__init__.py
|
project-kotinos/diofant___diofant
|
882549ac3a4dac238695aa620c02fce6ca33f9d3
|
[
"BSD-3-Clause"
] | 57
|
2016-09-13T23:16:26.000Z
|
2022-03-29T06:45:51.000Z
|
diofant/tests/series/__init__.py
|
project-kotinos/diofant___diofant
|
882549ac3a4dac238695aa620c02fce6ca33f9d3
|
[
"BSD-3-Clause"
] | 402
|
2016-05-11T11:11:47.000Z
|
2022-03-31T14:27:02.000Z
|
diofant/tests/series/__init__.py
|
project-kotinos/diofant___diofant
|
882549ac3a4dac238695aa620c02fce6ca33f9d3
|
[
"BSD-3-Clause"
] | 20
|
2016-05-11T08:17:37.000Z
|
2021-09-10T09:15:51.000Z
|
"""
Tests for series expansions and limits.
"""
| 12
| 39
| 0.6875
| 6
| 48
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 48
| 3
| 40
| 16
| 0.825
| 0.8125
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
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| null | 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d944bad4bd640afb97ec4a5a81f12b07d07a8e5b
| 2,491
|
py
|
Python
|
day-4/test.py
|
PeterPrice06/advent-of-code-2021
|
d1af22ee2e4778372e626debca1ae9dc7f2ad47c
|
[
"MIT"
] | null | null | null |
day-4/test.py
|
PeterPrice06/advent-of-code-2021
|
d1af22ee2e4778372e626debca1ae9dc7f2ad47c
|
[
"MIT"
] | null | null | null |
day-4/test.py
|
PeterPrice06/advent-of-code-2021
|
d1af22ee2e4778372e626debca1ae9dc7f2ad47c
|
[
"MIT"
] | null | null | null |
import unittest
from typing import List
from bingo import Bingo
import bingo_board
class TestSolution(unittest.TestCase):
def setUp(self) -> None:
pass
def test_bingo_sample(self) -> None:
lines = file_read_helper('day-4/sample_input.txt')
bingo = Bingo(lines)
winning_score = bingo.play_bingo()
self.assertEqual(winning_score, 4512)
def test_bingo_puzzle(self) -> None:
lines = file_read_helper('day-4/puzzle_input.txt')
bingo = Bingo(lines)
winning_score = bingo.play_bingo()
self.assertEqual(winning_score, 63552)
def test_lose_bingo_sample(self) -> None:
lines = file_read_helper('day-4/sample_input.txt')
bingo = Bingo(lines)
losing_score = bingo.play_bingo_to_lose()
self.assertEqual(losing_score, 1924)
def test_lose_bingo_puzzle(self) -> None:
lines = file_read_helper('day-4/puzzle_input.txt')
bingo = Bingo(lines)
losing_score = bingo.play_bingo_to_lose()
self.assertEqual(losing_score, 9020)
class TestBingoBoard(unittest.TestCase):
def setUp(self) -> None:
pass
def test_is_bingo_is_false_with_no_bingo(self) -> None:
board = bingo_board.BingoBoard()
board.parse_input(["1 2 3 4 5", "1 2 3 4 5", "1 2 3 4 5", "1 2 3 4 5", "1 2 3 4 5"])
board.mark_number(26)
self.assertFalse(board.is_bingo())
def test_is_bingo_is_true_with_row_bingo(self) -> None:
board = bingo_board.BingoBoard()
board.parse_input(["1 2 3 4 5", "1 2 3 4 5", "1 2 3 4 5", "26 26 26 26 26", "1 2 3 4 5"])
board.mark_number(26)
self.assertTrue(board.is_bingo())
def test_is_bingo_is_true_with_col_bingo(self) -> None:
board = bingo_board.BingoBoard()
board.parse_input(["1 2 3 26 5", "1 2 3 26 5", "1 2 3 26 5", "1 2 3 26 5", "1 2 3 26 5"])
board.mark_number(26)
self.assertTrue(board.is_bingo())
def test_sum_unmarked(self) -> None:
board = bingo_board.BingoBoard()
board.parse_input(["1 26 26 26 26", "26 2 26 26 26", "26 26 3 26 26", "26 26 26 4 26", "26 26 26 26 5"])
board.mark_number(26)
self.assertEqual(board.sum_unmarked(), 15)
def file_read_helper(filename: str) -> List[str]:
lines = []
with open(filename, 'r', encoding='UTF-8') as file:
for line in file:
lines.append(line.strip())
return lines
if __name__ == '__main__':
unittest.main()
| 34.123288
| 112
| 0.634283
| 386
| 2,491
| 3.865285
| 0.196891
| 0.053619
| 0.060322
| 0.02681
| 0.756032
| 0.717828
| 0.717828
| 0.701743
| 0.701743
| 0.644102
| 0
| 0.08617
| 0.245283
| 2,491
| 72
| 113
| 34.597222
| 0.707447
| 0
| 0
| 0.448276
| 0
| 0
| 0.125251
| 0.035327
| 0
| 0
| 0
| 0
| 0.137931
| 1
| 0.189655
| false
| 0.034483
| 0.068966
| 0
| 0.310345
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d951b6608d5ab61ca54b0aa83b548048c426021b
| 180
|
py
|
Python
|
app/logic/bluesteelworker/models/__init__.py
|
imvu/bluesteel
|
ab52133249a693b3cd2d8593c5d47408a3b0fce6
|
[
"MIT"
] | 10
|
2017-01-13T06:28:04.000Z
|
2020-11-18T13:00:26.000Z
|
app/logic/bluesteelworker/models/__init__.py
|
imvu/bluesteel
|
ab52133249a693b3cd2d8593c5d47408a3b0fce6
|
[
"MIT"
] | null | null | null |
app/logic/bluesteelworker/models/__init__.py
|
imvu/bluesteel
|
ab52133249a693b3cd2d8593c5d47408a3b0fce6
|
[
"MIT"
] | 2
|
2018-03-29T14:10:53.000Z
|
2019-11-20T08:21:57.000Z
|
""" Automatic file """
from app.logic.bluesteelworker.models.WorkerModel import WorkerEntry
from app.logic.bluesteelworker.models.WorkerFilesHashModel import WorkerFilesHashEntry
| 36
| 86
| 0.85
| 18
| 180
| 8.5
| 0.666667
| 0.091503
| 0.156863
| 0.352941
| 0.431373
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072222
| 180
| 4
| 87
| 45
| 0.916168
| 0.077778
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7979b5261b8d2733b9bffcad819708aafadb9cb9
| 159
|
py
|
Python
|
easy/521-longest-uncommon-subsequence-i.py
|
changmeng72/leecode_python3
|
8384f52f0dd74b06b1b6aefa277dde6a228ff5f3
|
[
"MIT"
] | null | null | null |
easy/521-longest-uncommon-subsequence-i.py
|
changmeng72/leecode_python3
|
8384f52f0dd74b06b1b6aefa277dde6a228ff5f3
|
[
"MIT"
] | null | null | null |
easy/521-longest-uncommon-subsequence-i.py
|
changmeng72/leecode_python3
|
8384f52f0dd74b06b1b6aefa277dde6a228ff5f3
|
[
"MIT"
] | null | null | null |
class Solution:
def findLUSlength(self, a: str, b: str) -> int:
return -1 if a==b else max(len(a),len(b)) if len(a)!=len(b) else len(a)
| 39.75
| 80
| 0.553459
| 29
| 159
| 3.034483
| 0.517241
| 0.136364
| 0.159091
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008621
| 0.27044
| 159
| 4
| 81
| 39.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
798e41f5b9b5b4e8d4b7be5e596dc336a053e9a1
| 47
|
py
|
Python
|
tests/__init__.py
|
rmartinshort/CorpusVectorizer
|
e2fea0b2d7ffa76647895ceab74a96696fb57255
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
rmartinshort/CorpusVectorizer
|
e2fea0b2d7ffa76647895ceab74a96696fb57255
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
rmartinshort/CorpusVectorizer
|
e2fea0b2d7ffa76647895ceab74a96696fb57255
|
[
"MIT"
] | null | null | null |
"""Unit test package for corpus_vectorizer."""
| 23.5
| 46
| 0.744681
| 6
| 47
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106383
| 47
| 1
| 47
| 47
| 0.809524
| 0.851064
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7993de31fe1837d07ce8357eb6ac2a656350dc0b
| 97
|
py
|
Python
|
db/models/__init__.py
|
RustamSultanov/X-GOD-ORM-APP
|
230905553ab95eef9a3f9903172fb036d1ef2a5e
|
[
"MIT"
] | 1
|
2020-04-11T09:36:17.000Z
|
2020-04-11T09:36:17.000Z
|
db/models/__init__.py
|
RustamSultanov/X-GOD-ORM-APP
|
230905553ab95eef9a3f9903172fb036d1ef2a5e
|
[
"MIT"
] | null | null | null |
db/models/__init__.py
|
RustamSultanov/X-GOD-ORM-APP
|
230905553ab95eef9a3f9903172fb036d1ef2a5e
|
[
"MIT"
] | null | null | null |
from db.models.models import db, Resort, Residence, Vehicle, Tour, ResortVehicle, Sight, Tourist
| 48.5
| 96
| 0.793814
| 13
| 97
| 5.923077
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113402
| 97
| 1
| 97
| 97
| 0.895349
| 0
| 0
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| 0
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| 0
| 1
| 0
| true
| 0
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| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8dbae183479fd0638b2b3be9e7afbb0bdffd92ca
| 153
|
py
|
Python
|
website/users/forms/__init__.py
|
SebastiaanZ/minigigscyclingteam
|
6c8c4f7ae41a5b01a551c592dc81fd37fd4f686e
|
[
"MIT"
] | null | null | null |
website/users/forms/__init__.py
|
SebastiaanZ/minigigscyclingteam
|
6c8c4f7ae41a5b01a551c592dc81fd37fd4f686e
|
[
"MIT"
] | 9
|
2020-01-25T12:24:43.000Z
|
2022-03-12T00:18:38.000Z
|
website/users/forms/__init__.py
|
SebastiaanZ/minigigscyclingteam
|
6c8c4f7ae41a5b01a551c592dc81fd37fd4f686e
|
[
"MIT"
] | null | null | null |
"""Forms for the users app."""
from .change_password import ChangePasswordForm
from .login import AuthForm
__all__ = ["AuthForm", "ChangePasswordForm"]
| 25.5
| 47
| 0.771242
| 17
| 153
| 6.647059
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 153
| 5
| 48
| 30.6
| 0.837037
| 0.156863
| 0
| 0
| 0
| 0
| 0.211382
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.666667
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
8de25aafceef25002e3278772fcfb227c987ebc9
| 23
|
py
|
Python
|
src/__init__.py
|
salmuz/pyquadprogbb
|
f85c5290cf6dbecb2ce131ed6e1ad20b199c7131
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
salmuz/pyquadprogbb
|
f85c5290cf6dbecb2ce131ed6e1ad20b199c7131
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
salmuz/pyquadprogbb
|
f85c5290cf6dbecb2ce131ed6e1ad20b199c7131
|
[
"MIT"
] | null | null | null |
from . import quadprobb
| 23
| 23
| 0.826087
| 3
| 23
| 6.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 23
| 1
| 23
| 23
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5c02ed5884f34e5965611b7a397494e2c185d19f
| 92
|
py
|
Python
|
divelog_server/admin.py
|
scubadivelog/Server
|
9d4ca620e991c9ed68e0ce7d1211f6eba00ad855
|
[
"MIT"
] | null | null | null |
divelog_server/admin.py
|
scubadivelog/Server
|
9d4ca620e991c9ed68e0ce7d1211f6eba00ad855
|
[
"MIT"
] | 5
|
2021-03-19T01:45:35.000Z
|
2021-06-10T18:59:42.000Z
|
divelog_server/admin.py
|
scubadivelog/Server
|
9d4ca620e991c9ed68e0ce7d1211f6eba00ad855
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import DiveLog
admin.site.register(DiveLog)
| 15.333333
| 32
| 0.815217
| 13
| 92
| 5.769231
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119565
| 92
| 5
| 33
| 18.4
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5c1e87d1f439337dff6541d127224c1baa074535
| 274
|
py
|
Python
|
torchreid/engine/__init__.py
|
daniil-lyakhov/deep-object-reid
|
b0f7d6a2d4cff8c417a66d82c09d16788d81ec67
|
[
"Apache-2.0"
] | 23
|
2020-11-21T07:01:27.000Z
|
2022-03-23T10:50:26.000Z
|
torchreid/engine/__init__.py
|
daniil-lyakhov/deep-object-reid
|
b0f7d6a2d4cff8c417a66d82c09d16788d81ec67
|
[
"Apache-2.0"
] | 66
|
2020-11-24T07:29:32.000Z
|
2022-03-24T11:53:20.000Z
|
torchreid/engine/__init__.py
|
daniil-lyakhov/deep-object-reid
|
b0f7d6a2d4cff8c417a66d82c09d16788d81ec67
|
[
"Apache-2.0"
] | 6
|
2020-09-25T02:07:30.000Z
|
2021-11-22T03:33:47.000Z
|
from __future__ import print_function, absolute_import
from .engine import Engine, EpochIntervalToValue, get_initial_lr_from_checkpoint
from .image import MultilabelEngine, ImageAMSoftmaxEngine, ImageTripletEngine, ImageContrastiveEngine
from .builder import build_engine
| 39.142857
| 101
| 0.879562
| 29
| 274
| 7.931034
| 0.655172
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087591
| 274
| 6
| 102
| 45.666667
| 0.92
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
30abf08594fd46f6a8d5aeb0f2f8d5c4d8954eea
| 164
|
py
|
Python
|
gpscraper/validators/__init__.py
|
alverelt/gpscraper
|
9c0322d1b8f0c70786bd15512746650b6c4d9ded
|
[
"MIT"
] | 1
|
2021-06-09T05:15:49.000Z
|
2021-06-09T05:15:49.000Z
|
gpscraper/validators/__init__.py
|
alverelt/gpscraper
|
9c0322d1b8f0c70786bd15512746650b6c4d9ded
|
[
"MIT"
] | 1
|
2021-07-30T21:30:31.000Z
|
2021-08-10T21:15:53.000Z
|
gpscraper/validators/__init__.py
|
alverelt/gpscraper
|
9c0322d1b8f0c70786bd15512746650b6c4d9ded
|
[
"MIT"
] | null | null | null |
from .details import details
from .permissions import permissions
from .reviews import reviews
from .review_history import review_history
from .search import search
| 32.8
| 42
| 0.853659
| 22
| 164
| 6.272727
| 0.363636
| 0.188406
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115854
| 164
| 5
| 43
| 32.8
| 0.951724
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
30e7ef9f6964ba4aad9bf02c9b20d4a4a74b076c
| 168
|
py
|
Python
|
code/global_config.py
|
Go-Trojans/trojan-go
|
bf1160120e79fbb1cdd37fa08f17160fb133aa40
|
[
"Artistic-1.0-cl8"
] | null | null | null |
code/global_config.py
|
Go-Trojans/trojan-go
|
bf1160120e79fbb1cdd37fa08f17160fb133aa40
|
[
"Artistic-1.0-cl8"
] | null | null | null |
code/global_config.py
|
Go-Trojans/trojan-go
|
bf1160120e79fbb1cdd37fa08f17160fb133aa40
|
[
"Artistic-1.0-cl8"
] | 1
|
2021-08-28T20:31:01.000Z
|
2021-08-28T20:31:01.000Z
|
import numpy as np
class GlobalConfig:
def __init__(self, board_size, plane_size):
self.board_size = board_size
self.plane_size = plane_size
| 24
| 49
| 0.684524
| 23
| 168
| 4.565217
| 0.521739
| 0.257143
| 0.247619
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.255952
| 168
| 6
| 50
| 28
| 0.84
| 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
| 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
| 1
| 0
|
0
| 5
|
eb482ea3bc9467309582cc15b72ad688ef6f1738
| 132
|
py
|
Python
|
packs/jenkins/actions/list_running_jobs.py
|
jonico/st2contrib
|
149c9c553f24360d91a14fef7ea6146707de75fd
|
[
"Apache-2.0"
] | 164
|
2015-01-17T16:08:33.000Z
|
2021-08-03T02:34:07.000Z
|
packs/jenkins/actions/list_running_jobs.py
|
jonico/st2contrib
|
149c9c553f24360d91a14fef7ea6146707de75fd
|
[
"Apache-2.0"
] | 442
|
2015-01-01T11:19:01.000Z
|
2017-09-06T23:26:17.000Z
|
packs/jenkins/actions/list_running_jobs.py
|
jonico/st2contrib
|
149c9c553f24360d91a14fef7ea6146707de75fd
|
[
"Apache-2.0"
] | 202
|
2015-01-13T00:37:40.000Z
|
2020-11-07T11:30:10.000Z
|
from lib import action
class ListRunningJobs(action.JenkinsBaseAction):
def run(self):
return self.jenkins.get_jobs()
| 18.857143
| 48
| 0.734848
| 16
| 132
| 6
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 132
| 6
| 49
| 22
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
eb4a41d758cb7f5fb862e45e191ad077fbd6b429
| 64
|
py
|
Python
|
src/python/txtai/pipeline/audio/__init__.py
|
malywonsz/txtai
|
ace1b04161062430887eb2153961abcd819a5afb
|
[
"Apache-2.0"
] | 1,893
|
2020-08-09T19:55:46.000Z
|
2022-03-31T22:03:13.000Z
|
src/python/txtai/pipeline/audio/__init__.py
|
aria1991/txtai
|
fa342a4f6a69fb1e2cea0e85e39915f055ee8503
|
[
"Apache-2.0"
] | 243
|
2020-08-12T15:22:31.000Z
|
2022-03-31T17:16:28.000Z
|
src/python/txtai/pipeline/audio/__init__.py
|
aria1991/txtai
|
fa342a4f6a69fb1e2cea0e85e39915f055ee8503
|
[
"Apache-2.0"
] | 189
|
2020-08-12T20:42:53.000Z
|
2022-03-30T13:32:46.000Z
|
"""
Audio imports
"""
from .transcription import Transcription
| 10.666667
| 40
| 0.75
| 6
| 64
| 8
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140625
| 64
| 5
| 41
| 12.8
| 0.872727
| 0.203125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
eb5a0d9f270be69c9dc9d3e298726700b8817896
| 118
|
py
|
Python
|
pype/modules/websocket_server/__init__.py
|
Yowza-Animation/pype
|
0212fa8357e6ffd490230193e69e101aaf262587
|
[
"MIT"
] | null | null | null |
pype/modules/websocket_server/__init__.py
|
Yowza-Animation/pype
|
0212fa8357e6ffd490230193e69e101aaf262587
|
[
"MIT"
] | null | null | null |
pype/modules/websocket_server/__init__.py
|
Yowza-Animation/pype
|
0212fa8357e6ffd490230193e69e101aaf262587
|
[
"MIT"
] | null | null | null |
from .websocket_server import WebSocketServer
def tray_init(tray_widget, main_widget):
return WebSocketServer()
| 19.666667
| 45
| 0.813559
| 14
| 118
| 6.571429
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127119
| 118
| 5
| 46
| 23.6
| 0.893204
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 5
|
eb64c301d25e81f27b216a19328a9d252ac8438b
| 208
|
py
|
Python
|
abc/abc028/abc028d.py
|
c-yan/atcoder
|
940e49d576e6a2d734288fadaf368e486480a948
|
[
"MIT"
] | 1
|
2019-08-21T00:49:34.000Z
|
2019-08-21T00:49:34.000Z
|
abc/abc028/abc028d.py
|
c-yan/atcoder
|
940e49d576e6a2d734288fadaf368e486480a948
|
[
"MIT"
] | null | null | null |
abc/abc028/abc028d.py
|
c-yan/atcoder
|
940e49d576e6a2d734288fadaf368e486480a948
|
[
"MIT"
] | null | null | null |
N, K = map(int, input().split())
a = 3 * 2 * (K - 1) * (N - K) # count(K) == 1
b = 3 * (N - 1) # count(K) == 2
c = 1 # count(K) == 3
print((a + b + c) / (N * N * N))
| 29.714286
| 46
| 0.302885
| 35
| 208
| 1.8
| 0.4
| 0.285714
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078261
| 0.447115
| 208
| 6
| 47
| 34.666667
| 0.469565
| 0.197115
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 1
| null | 1
| 1
| 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
| 5
|
ebd55718dabafb2486b3ecf2daa6a6ce2765406d
| 9,360
|
py
|
Python
|
tests/unit/dataactvalidator/test_b21_object_class_program_activity.py
|
RonSherfey/data-act-broker-backend
|
d287abda2cac06dd479ecf0127e789cb8e59387d
|
[
"CC0-1.0"
] | null | null | null |
tests/unit/dataactvalidator/test_b21_object_class_program_activity.py
|
RonSherfey/data-act-broker-backend
|
d287abda2cac06dd479ecf0127e789cb8e59387d
|
[
"CC0-1.0"
] | 3
|
2021-08-22T11:47:45.000Z
|
2022-03-29T22:06:49.000Z
|
tests/unit/dataactvalidator/test_b21_object_class_program_activity.py
|
RonSherfey/data-act-broker-backend
|
d287abda2cac06dd479ecf0127e789cb8e59387d
|
[
"CC0-1.0"
] | null | null | null |
from random import randint
from tests.unit.dataactcore.factories.domain import SF133Factory, TASFactory
from tests.unit.dataactcore.factories.job import SubmissionFactory
from tests.unit.dataactcore.factories.staging import ObjectClassProgramActivityFactory
from tests.unit.dataactvalidator.utils import number_of_errors, query_columns
_FILE = 'b21_object_class_program_activity'
def test_column_headers(database):
expected = {
'uniqueid_TAS', 'uniqueid_DisasterEmergencyFundCode', 'row_number', 'allocation_transfer_agency',
'agency_identifier', 'beginning_period_of_availa', 'ending_period_of_availabil',
'availability_type_code', 'main_account_code', 'sub_account_code', 'disaster_emergency_fund_code'
}
assert expected == set(query_columns(_FILE, database))
def test_success_populated_ata(database):
""" Tests that TAS/DEFC for SF-133 are present in File B """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier='some-other-code', disaster_emergency_fund_code='N', line=3020, amount=4)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=False)
op = ObjectClassProgramActivityFactory(tas=tas, disaster_emergency_fund_code='n', submission_id=submission_id)
errors = number_of_errors(_FILE, database, models=[sf1, op], submission=submission)
assert errors == 0
def test_success_null_ata(database):
""" Tests that TAS/DEFC for SF-133 are present in File B (null ATA) """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=None,
agency_identifier=code, disaster_emergency_fund_code='N', line=2190, amount=4)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=False)
op = ObjectClassProgramActivityFactory(tas=tas, disaster_emergency_fund_code='n', submission_id=submission_id)
errors = number_of_errors(_FILE, database, models=[sf1, op], submission=submission)
assert errors == 0
def test_success_ignore_lines(database):
""" Tests lines that should be ignored in SF133 are """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier='some-other-code', disaster_emergency_fund_code='N', line=3020, amount=4)
# Invalid line number
sf2 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier='some-other-code', disaster_emergency_fund_code='M', line=1000, amount=4)
# amount of 0
sf3 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier='some-other-code', disaster_emergency_fund_code='L', line=3020, amount=0)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=False)
op = ObjectClassProgramActivityFactory(tas=tas, disaster_emergency_fund_code='n', submission_id=submission_id)
errors = number_of_errors(_FILE, database, models=[sf1, sf2, sf3, op], submission=submission)
assert errors == 0
def test_failure_populated_ata(database):
""" Tests that TAS/DEFC for SF-133 are not present in File B """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier=code, disaster_emergency_fund_code='N', line=3020, amount=4)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=False)
op = ObjectClassProgramActivityFactory(tas='a-different-tas', submission_id=submission_id,
disaster_emergency_fund_code='n')
errors = number_of_errors(_FILE, database, models=[sf1, op], submission=submission)
assert errors == 1
def test_failure_null_ata(database):
""" Tests that TAS/DEFC for SF-133 are not present in File B (null ATA) """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=None,
agency_identifier=code, disaster_emergency_fund_code='N', line=3020, amount=4)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=False)
op = ObjectClassProgramActivityFactory(tas='a-different-tas', submission_id=submission_id,
disaster_emergency_fund_code='n')
errors = number_of_errors(_FILE, database, models=[sf1, op], submission=submission)
assert errors == 1
def test_financing_tas(database):
""" GTAS entries associated with a CARS with a "financing" financial indicator should be ignored"""
cars_1 = TASFactory(financial_indicator2='other indicator')
cars_2 = TASFactory(financial_indicator2=None)
gtas_1 = SF133Factory(account_num=cars_1.account_num, allocation_transfer_agency=None,
disaster_emergency_fund_code='N', line=3020, amount=4)
gtas_2 = SF133Factory(account_num=cars_2.account_num, period=gtas_1.period, fiscal_year=gtas_1.fiscal_year,
agency_identifier=gtas_1.agency_identifier, allocation_transfer_agency=None,
disaster_emergency_fund_code='N', line=3020, amount=4)
submission = SubmissionFactory(reporting_fiscal_period=gtas_1.period, reporting_fiscal_year=gtas_1.fiscal_year,
cgac_code=gtas_1.agency_identifier, is_quarter_format=False)
errors = number_of_errors(_FILE, database, models=[gtas_1, gtas_2, cars_1, cars_2], submission=submission)
assert errors == 2
cars_3 = TASFactory(financial_indicator2='f')
cars_4 = TASFactory(financial_indicator2='F')
gtas_3 = SF133Factory(account_num=cars_3.account_num, allocation_transfer_agency=None,
disaster_emergency_fund_code='N')
gtas_4 = SF133Factory(account_num=cars_4.account_num, period=gtas_3.period, fiscal_year=gtas_3.fiscal_year,
agency_identifier=gtas_3.agency_identifier, allocation_transfer_agency=None,
disaster_emergency_fund_code='N')
submission = SubmissionFactory(reporting_fiscal_period=gtas_3.period, reporting_fiscal_year=gtas_3.fiscal_year,
cgac_code=gtas_3.agency_identifier, is_quarter_format=False)
errors = number_of_errors(_FILE, database, models=[gtas_3, gtas_4, cars_3, cars_4], submission=submission)
assert errors == 0
def test_ignore_quarterly_submissions(database):
""" Tests that rule doesn't apply to quarterly submissions """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier=code, disaster_emergency_fund_code='N', line=3020, amount=4)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=True)
op = ObjectClassProgramActivityFactory(tas='a-different-tas', submission_id=submission_id,
disaster_emergency_fund_code='n')
errors = number_of_errors(_FILE, database, models=[sf1, op], submission=submission)
assert errors == 0
def test_non_matching_defc(database):
""" Tests that even if TAS matches, if DEFC doesn't it throws an error """
submission_id = randint(1000, 10000)
tas, period, year, code = 'some-tas', 2, 2002, 'some-code'
sf1 = SF133Factory(tas=tas, period=period, fiscal_year=year, allocation_transfer_agency=code,
agency_identifier='some-other-code', disaster_emergency_fund_code='N', line=3020, amount=4)
submission = SubmissionFactory(submission_id=submission_id, reporting_fiscal_period=period,
reporting_fiscal_year=year, cgac_code=code, is_quarter_format=False)
op = ObjectClassProgramActivityFactory(tas=tas, disaster_emergency_fund_code='m', submission_id=submission_id)
errors = number_of_errors(_FILE, database, models=[sf1, op], submission=submission)
assert errors == 1
| 56.385542
| 115
| 0.714957
| 1,155
| 9,360
| 5.498701
| 0.12381
| 0.066131
| 0.069438
| 0.082664
| 0.793261
| 0.757991
| 0.730121
| 0.723823
| 0.71721
| 0.71721
| 0
| 0.03644
| 0.190812
| 9,360
| 165
| 116
| 56.727273
| 0.802086
| 0.05812
| 0
| 0.59292
| 0
| 0
| 0.061944
| 0.022245
| 0
| 0
| 0
| 0
| 0.088496
| 1
| 0.079646
| false
| 0
| 0.044248
| 0
| 0.123894
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ccebe07330f01200db407d48129982114c58fada
| 47
|
py
|
Python
|
baby-steps/hello-friend.py
|
CamFlawless/fsociety
|
7247be8ebdd49a5bf4b2df6115cc96c4f726e76e
|
[
"MIT"
] | null | null | null |
baby-steps/hello-friend.py
|
CamFlawless/fsociety
|
7247be8ebdd49a5bf4b2df6115cc96c4f726e76e
|
[
"MIT"
] | null | null | null |
baby-steps/hello-friend.py
|
CamFlawless/fsociety
|
7247be8ebdd49a5bf4b2df6115cc96c4f726e76e
|
[
"MIT"
] | null | null | null |
# truly the first steps..
print "hell0-fr1end"
| 15.666667
| 25
| 0.723404
| 7
| 47
| 4.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0.148936
| 47
| 2
| 26
| 23.5
| 0.8
| 0.489362
| 0
| 0
| 0
| 0
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
6918749c03e09fb35902981992e262bcbfc58e57
| 34
|
py
|
Python
|
modules/2.79/bpy/types/MetaBall.py
|
cmbasnett/fake-bpy-module
|
acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55
|
[
"MIT"
] | null | null | null |
modules/2.79/bpy/types/MetaBall.py
|
cmbasnett/fake-bpy-module
|
acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55
|
[
"MIT"
] | null | null | null |
modules/2.79/bpy/types/MetaBall.py
|
cmbasnett/fake-bpy-module
|
acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55
|
[
"MIT"
] | null | null | null |
def transform(matrix):
pass
| 6.8
| 22
| 0.647059
| 4
| 34
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.264706
| 34
| 4
| 23
| 8.5
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
692a303e05d0a006bed7c9020df313aa1a10b220
| 71
|
py
|
Python
|
Modularity/Exercises/calc_demo_add_as_alias.py
|
padmacho/pythontutorial
|
80c58d2d6efc0c3598f92b627338c6cd9fda1759
|
[
"Apache-2.0"
] | null | null | null |
Modularity/Exercises/calc_demo_add_as_alias.py
|
padmacho/pythontutorial
|
80c58d2d6efc0c3598f92b627338c6cd9fda1759
|
[
"Apache-2.0"
] | null | null | null |
Modularity/Exercises/calc_demo_add_as_alias.py
|
padmacho/pythontutorial
|
80c58d2d6efc0c3598f92b627338c6cd9fda1759
|
[
"Apache-2.0"
] | null | null | null |
from calc import add as addition
print("Addition: ", addition(1, 2))
| 23.666667
| 36
| 0.704225
| 11
| 71
| 4.545455
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033898
| 0.169014
| 71
| 2
| 37
| 35.5
| 0.813559
| 0
| 0
| 0
| 0
| 0
| 0.144928
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 1
| 0
| 0
| 1
|
0
| 5
|
693b9ba82fb9cd7202b2033c8d7d49e986b661aa
| 160
|
py
|
Python
|
practice_questions/random/list_queries.py
|
vaishnavprachi98/technical-interviews
|
7e61aaf08774d67090f022bd288394ffce7c437d
|
[
"MIT"
] | 65
|
2017-11-17T09:08:36.000Z
|
2021-12-25T03:20:06.000Z
|
practice_questions/random/list_queries.py
|
vaishnavprachi98/technical-interviews
|
7e61aaf08774d67090f022bd288394ffce7c437d
|
[
"MIT"
] | null | null | null |
practice_questions/random/list_queries.py
|
vaishnavprachi98/technical-interviews
|
7e61aaf08774d67090f022bd288394ffce7c437d
|
[
"MIT"
] | 14
|
2018-03-08T03:06:26.000Z
|
2021-09-14T13:50:53.000Z
|
"""
@author: David Lei
@since: 21/10/2017
[ 4, 2, 3, 6, 1, 4, 8]
[ 3, 2, 3, 6, 5, 6,-1]
[3,2,3,6,5,6,-1]
use a stack
notSet =
values =
i=4
O(2N)
O(N)
"""
| 8
| 22
| 0.475
| 39
| 160
| 1.948718
| 0.589744
| 0.078947
| 0.118421
| 0.105263
| 0.184211
| 0.184211
| 0.184211
| 0
| 0
| 0
| 0
| 0.256198
| 0.24375
| 160
| 20
| 23
| 8
| 0.371901
| 0.94375
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
697292be6756228dbcd76206dff729becdd33f12
| 1,305
|
py
|
Python
|
tests/test_clans.py
|
bim-ba/coc-api
|
69ff957803cb991dfad8df3af752d193171f2ef0
|
[
"Unlicense"
] | 1
|
2022-03-29T12:39:36.000Z
|
2022-03-29T12:39:36.000Z
|
tests/test_clans.py
|
bim-ba/coc-api
|
69ff957803cb991dfad8df3af752d193171f2ef0
|
[
"Unlicense"
] | null | null | null |
tests/test_clans.py
|
bim-ba/coc-api
|
69ff957803cb991dfad8df3af752d193171f2ef0
|
[
"Unlicense"
] | null | null | null |
# type: ignore
# pylint: disable-all
import asyncio
async def test_clans_small(default_client):
clans = await default_client.clans(
name="dababy", min_members=10, war_frequency="always"
)
assert len(clans) > 0
async def test_clans_medium(default_client):
clans = await default_client.clans(
location="ru", labels="clan wars", war_frequency="always", min_members=30
)
assert len(clans) > 0
async def test_clans_large(default_client):
clans = await default_client.clans(
location="russia",
labels=["clan wars", "trophy pushing"],
war_frequency="always",
min_members=30,
)
assert len(clans) > 0
async def test_clans_location_fullname(default_client):
clans1, clans2, clans3 = await asyncio.gather(
default_client.clans(location="russia"),
default_client.clans(location="RUSSIA"),
default_client.clans(location="RUSsIa"),
)
assert len(clans1) == len(clans2) == len(clans3)
async def test_clans_location_country_code(default_client):
clans1, clans2, clans3 = await asyncio.gather(
default_client.clans(location="us"),
default_client.clans(location="Us"),
default_client.clans(location="US"),
)
assert len(clans1) == len(clans2) == len(clans3)
| 27.765957
| 81
| 0.678161
| 160
| 1,305
| 5.325
| 0.28125
| 0.213615
| 0.253521
| 0.244131
| 0.795775
| 0.75
| 0.75
| 0.624413
| 0.471831
| 0.471831
| 0
| 0.020173
| 0.202299
| 1,305
| 46
| 82
| 28.369565
| 0.798271
| 0.024521
| 0
| 0.30303
| 0
| 0
| 0.069291
| 0
| 0
| 0
| 0
| 0
| 0.151515
| 1
| 0
| false
| 0
| 0.030303
| 0
| 0.030303
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
15cfb54b371711699910c6c454a3b665810c92a2
| 704
|
py
|
Python
|
torchreid/engine/__init__.py
|
iankuoli/OSNet-TopDrop
|
3ab57ba507e9f8939762e27834137172375cd91c
|
[
"MIT"
] | null | null | null |
torchreid/engine/__init__.py
|
iankuoli/OSNet-TopDrop
|
3ab57ba507e9f8939762e27834137172375cd91c
|
[
"MIT"
] | null | null | null |
torchreid/engine/__init__.py
|
iankuoli/OSNet-TopDrop
|
3ab57ba507e9f8939762e27834137172375cd91c
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
from __future__ import print_function
from .engine import Engine
from .image import ImageSoftmaxEngine
from .image import ImageTripletEngine
from .image import ImageTripletDropBatchEngine
from .image import ImageTripletDropBatchDropBotFeaturesEngine
from .image import ImageArcTripletDropBatchDropBotFeaturesEngine
from .image import ImageArcFocalDropBatchDropBotFeaturesEngine
from .image import ImageSupConTripletDropBatchDropBotFeaturesEngine
from .image import ImageSupConArcTripletDropBatchDropBotFeaturesEngine
from .image import ImageSupConArcFocalDropBatchDropBotFeaturesEngine
from .video import VideoSoftmaxEngine
from .video import VideoTripletEngine
| 39.111111
| 70
| 0.899148
| 58
| 704
| 10.741379
| 0.344828
| 0.130016
| 0.216693
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083807
| 704
| 17
| 71
| 41.411765
| 0.965891
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.071429
| 0
| 0
| 1
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
15dcf1f9fae4cbcb7031861f09803da3d1305ff2
| 124
|
py
|
Python
|
tune/db_workers/__init__.py
|
fsmosca/chess-tuning-tools
|
2f489241e029b0d07ca6b645448643b4c57b4b83
|
[
"Apache-2.0"
] | 28
|
2020-02-01T16:10:44.000Z
|
2022-03-25T23:12:35.000Z
|
tune/db_workers/__init__.py
|
fsmosca/chess-tuning-tools
|
2f489241e029b0d07ca6b645448643b4c57b4b83
|
[
"Apache-2.0"
] | 137
|
2020-01-29T10:06:56.000Z
|
2022-03-28T21:31:23.000Z
|
tune/db_workers/__init__.py
|
Claes1981/chess-tuning-tools
|
2a28babdea4119c82a2f44e0c6dd0680384d63e6
|
[
"Apache-2.0"
] | 13
|
2020-06-18T20:07:50.000Z
|
2022-03-29T18:06:15.000Z
|
from .tuning_client import TuningClient
from .tuning_server import TuningServer
__all__ = ["TuningClient", "TuningServer"]
| 24.8
| 42
| 0.814516
| 13
| 124
| 7.307692
| 0.615385
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104839
| 124
| 4
| 43
| 31
| 0.855856
| 0
| 0
| 0
| 0
| 0
| 0.193548
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c61a95ddb095b2fc280e0efb15b6a1a6e915f584
| 135
|
py
|
Python
|
tests/s_testwrite.py
|
SeattleTestbed/repy_v1
|
f40a02e2e398b1ec67fede84b41a264ae7356d2c
|
[
"MIT"
] | 1
|
2021-08-18T05:58:17.000Z
|
2021-08-18T05:58:17.000Z
|
tests/s_testwrite.py
|
SeattleTestbed/repy_v1
|
f40a02e2e398b1ec67fede84b41a264ae7356d2c
|
[
"MIT"
] | 3
|
2015-11-17T21:01:03.000Z
|
2016-07-14T09:08:04.000Z
|
tests/s_testwrite.py
|
SeattleTestbed/repy_v1
|
f40a02e2e398b1ec67fede84b41a264ae7356d2c
|
[
"MIT"
] | 5
|
2015-07-02T13:29:23.000Z
|
2021-09-25T07:48:30.000Z
|
fo = file("junk_test.out",'w')
fo.write("foo")
fo.close()
fo = file("junk_test.out",'r')
data = fo.read()
fo.close()
print "foo"==data
| 16.875
| 30
| 0.622222
| 25
| 135
| 3.28
| 0.52
| 0.146341
| 0.243902
| 0.341463
| 0.414634
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103704
| 135
| 7
| 31
| 19.285714
| 0.677686
| 0
| 0
| 0.285714
| 0
| 0
| 0.251852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.142857
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c63e0cb4ae978a145d143fbab159a05f2fcba2d7
| 32
|
py
|
Python
|
build/lib/bilispider/__main__.py
|
pangbo13/BiliSpider
|
7f2b14b620f5abafed462b3edbe2437d59d0e17b
|
[
"MIT"
] | 1
|
2019-07-30T14:17:17.000Z
|
2019-07-30T14:17:17.000Z
|
build/lib/bilispider/__main__.py
|
pangbo13/BiliSpider
|
7f2b14b620f5abafed462b3edbe2437d59d0e17b
|
[
"MIT"
] | null | null | null |
build/lib/bilispider/__main__.py
|
pangbo13/BiliSpider
|
7f2b14b620f5abafed462b3edbe2437d59d0e17b
|
[
"MIT"
] | null | null | null |
from .start import start
start()
| 16
| 24
| 0.78125
| 5
| 32
| 5
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 32
| 2
| 25
| 16
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c64d07c5094a6fdc0586e7fde003bc0c31dc2af8
| 41
|
py
|
Python
|
server/redis_init.py
|
mic-fadeev/angular-tiny-url
|
ce42d7344705490fd463137620e35a743d1df6bb
|
[
"Apache-2.0"
] | null | null | null |
server/redis_init.py
|
mic-fadeev/angular-tiny-url
|
ce42d7344705490fd463137620e35a743d1df6bb
|
[
"Apache-2.0"
] | null | null | null |
server/redis_init.py
|
mic-fadeev/angular-tiny-url
|
ce42d7344705490fd463137620e35a743d1df6bb
|
[
"Apache-2.0"
] | null | null | null |
from redis import Redis
redis = Redis()
| 10.25
| 23
| 0.731707
| 6
| 41
| 5
| 0.5
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195122
| 41
| 3
| 24
| 13.666667
| 0.909091
| 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 | 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
| 5
|
d6715c00ec5a6350bfcf8e1e794042d0f69cb740
| 201
|
py
|
Python
|
molsysmt/tools/openff_Topology/is_openff_Topology.py
|
dprada/molsysmt
|
83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d
|
[
"MIT"
] | null | null | null |
molsysmt/tools/openff_Topology/is_openff_Topology.py
|
dprada/molsysmt
|
83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d
|
[
"MIT"
] | null | null | null |
molsysmt/tools/openff_Topology/is_openff_Topology.py
|
dprada/molsysmt
|
83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d
|
[
"MIT"
] | null | null | null |
_item_fullname_='openff.toolkit.topology.Topology'
def is_openff_Topology(item):
item_fullname = item.__class__.__module__+'.'+item.__class__.__name__
return _item_fullname_==item_fullname
| 22.333333
| 73
| 0.79602
| 24
| 201
| 5.583333
| 0.458333
| 0.358209
| 0.238806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.099502
| 201
| 8
| 74
| 25.125
| 0.740331
| 0
| 0
| 0
| 0
| 0
| 0.165
| 0.16
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d67eed007f19d11064aed9b705470c7b755a8527
| 2,030
|
py
|
Python
|
src/projections.py
|
kdmsit/tipr-first-assignment
|
fb95c66ac4e39fbb72700c3eeb2cd5e22590c7aa
|
[
"MIT"
] | 1
|
2020-12-31T20:18:16.000Z
|
2020-12-31T20:18:16.000Z
|
src/projections.py
|
kdmsit/tipr-first-assignment
|
fb95c66ac4e39fbb72700c3eeb2cd5e22590c7aa
|
[
"MIT"
] | null | null | null |
src/projections.py
|
kdmsit/tipr-first-assignment
|
fb95c66ac4e39fbb72700c3eeb2cd5e22590c7aa
|
[
"MIT"
] | null | null | null |
# Implement code for random projections here!
import numpy as np
import math
def randomProjection(dataMatrix,noOfColumns,K,inputFilePath,out):
'''
:param dataMatrix:
:param noOfColumns:
:param inputFilePath:
:param out:
:return:
This Region Of code Does The following
1.Generate Random Matrix On Gaussian Distribution with mean=0 and Variance=1.
2.Multiply Data Matrix with Random Matrix and finally multiply with Normalised Value.
3.We save the output matrix in output file path.
'''
normalisedFactor = 1 / (math.sqrt(K))
randMatrix = np.random.normal(0, 1, (noOfColumns, K))
noOfRowsRand = len(randMatrix)
noOfColumnsRand = len(randMatrix[0])
# print(noOfRows, noOfColumns)
Emul = np.matmul(dataMatrix, randMatrix)
Enorm = np.multiply(normalisedFactor, Emul)
outputFileName =out+'_' + str(K) + '.csv'
np.savetxt(inputFilePath + outputFileName, Enorm, delimiter=" ")
return Enorm
def randomProjectionTwitter(dataMatrix,testMatrix,noOfColumns,K,inputFilePath,out):
'''
:param dataMatrix:
:param noOfColumns:
:param inputFilePath:
:param out:
:return:
This Region Of code Does The following
1.Generate Random Matrix On Gaussian Distribution with mean=0 and Variance=1.
2.Multiply Data Matrix with Random Matrix and finally multiply with Normalised Value.
3.We save the output matrix in output file path.
'''
normalisedFactor = 1 / (math.sqrt(K))
randMatrix = np.random.normal(0, 1, (noOfColumns, K))
noOfRowsRand = len(randMatrix)
noOfColumnsRand = len(randMatrix[0])
# print(noOfRows, noOfColumns)
Emuldata = np.matmul(dataMatrix, randMatrix)
Emultest= np.matmul(testMatrix, randMatrix)
Enormdata = np.multiply(normalisedFactor, Emuldata)
Enormtest = np.multiply(normalisedFactor, Emultest)
outputFileName =out+'_' + str(K) + '.csv'
np.savetxt(inputFilePath + outputFileName, Emuldata, delimiter=" ")
return Emuldata,Emultest
| 37.592593
| 93
| 0.702463
| 234
| 2,030
| 6.08547
| 0.311966
| 0.033708
| 0.054775
| 0.039326
| 0.700843
| 0.700843
| 0.700843
| 0.700843
| 0.700843
| 0.616573
| 0
| 0.011111
| 0.20197
| 2,030
| 53
| 94
| 38.301887
| 0.867901
| 0.391133
| 0
| 0.416667
| 0
| 0
| 0.010536
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0
| 0.083333
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d6d74f7d97fe565c2e9703380c661a9ef28d5aad
| 35
|
py
|
Python
|
WMemPy/__main__.py
|
fitancinpet/WMemPy
|
ed9b3bece2aca465635e09526060165b2704cfcc
|
[
"MIT"
] | null | null | null |
WMemPy/__main__.py
|
fitancinpet/WMemPy
|
ed9b3bece2aca465635e09526060165b2704cfcc
|
[
"MIT"
] | 2
|
2021-11-11T18:05:04.000Z
|
2022-03-14T05:58:01.000Z
|
WMemPy/__main__.py
|
fitancinpet/WMemPy
|
ed9b3bece2aca465635e09526060165b2704cfcc
|
[
"MIT"
] | null | null | null |
from .wmem_cli import main
main()
| 8.75
| 26
| 0.742857
| 6
| 35
| 4.166667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.171429
| 35
| 3
| 27
| 11.666667
| 0.862069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
d6e2fb713108bf5bca0454b6dc6b94fa8edbd575
| 7,644
|
py
|
Python
|
tests/test_configuration.py
|
janoskut/pi_ina219
|
bb85e39d78882fdbc42ddc27acde025677651c1b
|
[
"MIT"
] | null | null | null |
tests/test_configuration.py
|
janoskut/pi_ina219
|
bb85e39d78882fdbc42ddc27acde025677651c1b
|
[
"MIT"
] | null | null | null |
tests/test_configuration.py
|
janoskut/pi_ina219
|
bb85e39d78882fdbc42ddc27acde025677651c1b
|
[
"MIT"
] | null | null | null |
import sys
import logging
import unittest
from mock import Mock, call
from ina219 import INA219, I2cDriver
logger = logging.getLogger()
logger.level = logging.ERROR
logger.addHandler(logging.StreamHandler(sys.stdout))
class TestConfiguration(unittest.TestCase):
def setUp(self):
I2cDriver.register(Mock) # make "Mock" a subclass of "I2cDriver"
self.i2c = Mock()
self.ina = INA219(0.1, 0.4, i2c_driver=self.i2c)
def test_calibration_register_maximum_is_fffe_1_ohm(self):
self.ina = INA219(1.0, 0.01, i2c_driver=self.i2c)
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_1_40MV)
calls = [call(0x40, 0x05, bytes([0xFF, 0xFE])),
call(0x40, 0x00, bytes([0x01, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_calibration_register_maximum_is_fffe_100_mohm(self):
self.ina = INA219(0.1, 0.1, i2c_driver=self.i2c)
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_1_40MV)
calls = [call(0x40, 0x05, bytes([0xFF, 0xFE])),
call(0x40, 0x00, bytes([0x01, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_calibration_register_maximum_is_fffe_10_mohm(self):
self.ina = INA219(0.01, 0.1, i2c_driver=self.i2c)
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_1_40MV)
calls = [call(0x40, 0x05, bytes([0xFF, 0xFE])),
call(0x40, 0x00, bytes([0x01, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_auto_gain_with_expected_amps(self):
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_AUTO)
self.assertEqual(self.ina._gain, 1)
self.assertEqual(self.ina._voltage_range, 0)
self.assertTrue(self.ina._auto_gain_enabled)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x09, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_auto_gain_no_expected_amps(self):
self.ina = INA219(0.1, i2c_driver=self.i2c)
self.ina._i2c.writeList = Mock()
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_AUTO)
self.assertEqual(self.ina._gain, self.ina.GAIN_1_40MV)
self.assertTrue(self.ina._auto_gain_enabled)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x01, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_manual_gain_no_expected_amps(self):
self.ina = INA219(0.1, i2c_driver=self.i2c)
self.ina._i2c.writeList = Mock()
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_1_40MV)
self.assertEqual(self.ina._gain, self.ina.GAIN_1_40MV)
self.assertFalse(self.ina._auto_gain_enabled)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x01, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_auto_gain_out_of_range(self):
self.ina = INA219(0.1, 4, i2c_driver=self.i2c)
with self.assertRaisesRegex(ValueError, "Expected amps"):
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_AUTO)
def test_16v_40mv(self):
self.ina.configure(self.ina.RANGE_16V, self.ina.GAIN_1_40MV)
self.assertEqual(self.ina._gain, 0)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x01, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv(self):
self.ina.configure(self.ina.RANGE_32V, self.ina.GAIN_1_40MV)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x21, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_80mv(self):
self.ina.configure(self.ina.RANGE_32V, self.ina.GAIN_2_80MV)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x29, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_160mv(self):
self.ina.configure(self.ina.RANGE_32V, self.ina.GAIN_4_160MV)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x31, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_320mv(self):
self.ina.configure(self.ina.RANGE_32V, self.ina.GAIN_8_320MV)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x39, 0x9f]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv_9bit(self):
self.ina.configure(
self.ina.RANGE_32V, self.ina.GAIN_1_40MV,
self.ina.ADC_9BIT, self.ina.ADC_9BIT)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x20, 0x07]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv_10_bit_11_bit(self):
self.ina.configure(
self.ina.RANGE_32V, self.ina.GAIN_1_40MV,
self.ina.ADC_10BIT, self.ina.ADC_11BIT)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x20, 0x97]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv_2_samples_128_samples(self):
self.ina.configure(
self.ina.RANGE_32V, self.ina.GAIN_1_40MV,
self.ina.ADC_2SAMP, self.ina.ADC_128SAMP)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x24, 0xff]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv_4_samples_8_samples(self):
self.ina.configure(
self.ina.RANGE_32V, self.ina.GAIN_1_40MV,
self.ina.ADC_4SAMP, self.ina.ADC_8SAMP)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x25, 0x5f]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv_8_samples_16_samples(self):
self.ina.configure(
self.ina.RANGE_32V, self.ina.GAIN_1_40MV,
self.ina.ADC_8SAMP, self.ina.ADC_16SAMP)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x25, 0xe7]))]
self.i2c.write.assert_has_calls(calls)
def test_32v_40mv_32_samples_64_samples(self):
self.ina.configure(
self.ina.RANGE_32V, self.ina.GAIN_1_40MV,
self.ina.ADC_32SAMP, self.ina.ADC_64SAMP)
calls = [call(0x40, 0x05, bytes([0x83, 0x33])),
call(0x40, 0x00, bytes([0x26, 0xf7]))]
self.i2c.write.assert_has_calls(calls)
def test_invalid_voltage_range(self):
with self.assertRaisesRegex(ValueError, "Invalid voltage range"):
self.ina.configure(64, self.ina.GAIN_1_40MV)
def test_max_current_exceeded(self):
ina = INA219(0.1, 0.5, i2c_driver=self.i2c)
with self.assertRaisesRegex(ValueError, "Expected current"):
ina.configure(self.ina.RANGE_32V, ina.GAIN_1_40MV)
def test_sleep(self):
self.i2c.read_word = Mock(return_value=0x0F)
self.ina.sleep()
self.i2c.write.assert_called_with(
0x40, 0x00, bytes([0x00, 0x08]))
def test_wake(self):
self.i2c.read_word = Mock(return_value=0x08)
self.ina.wake()
self.i2c.write.assert_called_with(
0x40, 0x00, bytes([0x00, 0xf]))
def test_reset(self):
self.ina.reset()
self.i2c.write.assert_called_with(
0x40, 0x00, bytes([0x80, 0x00]))
def test_i2c_addr(self):
ina = INA219(0.1, 0.5, address=0x41, i2c_driver=self.i2c)
ina.reset()
self.i2c.write.assert_called_with(
0x41, 0x00, bytes([0x80, 0x00]))
| 40.877005
| 73
| 0.635531
| 1,089
| 7,644
| 4.241506
| 0.123967
| 0.14094
| 0.059537
| 0.081836
| 0.798874
| 0.791513
| 0.760121
| 0.744317
| 0.719203
| 0.676553
| 0
| 0.125723
| 0.231031
| 7,644
| 186
| 74
| 41.096774
| 0.660088
| 0.00484
| 0
| 0.464516
| 0
| 0
| 0.006575
| 0
| 0
| 0
| 0.081394
| 0
| 0.206452
| 1
| 0.16129
| false
| 0
| 0.032258
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ba6835e5d9e77e6eadcc0f6f157c6f0eb51dca7e
| 103
|
py
|
Python
|
tests/test_utils_time.py
|
tezignlab/fastweb
|
7087b54f13623ae9eb43eb60bd7f4619bd451e70
|
[
"MIT"
] | 14
|
2021-12-18T07:33:11.000Z
|
2022-01-25T19:30:53.000Z
|
tests/test_utils_time.py
|
tezignlab/fastweb
|
7087b54f13623ae9eb43eb60bd7f4619bd451e70
|
[
"MIT"
] | 1
|
2021-12-26T10:30:51.000Z
|
2021-12-27T03:39:07.000Z
|
tests/test_utils_time.py
|
tezignlab/fastweb
|
7087b54f13623ae9eb43eb60bd7f4619bd451e70
|
[
"MIT"
] | 1
|
2021-12-30T08:56:54.000Z
|
2021-12-30T08:56:54.000Z
|
from fastlab.utils import TimeUtils
# Print now timestamp: 1639732030521
print(TimeUtils.timestamp())
| 20.6
| 36
| 0.815534
| 12
| 103
| 7
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141304
| 0.106796
| 103
| 4
| 37
| 25.75
| 0.771739
| 0.330097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 1
| 0
| 0
| 1
|
0
| 5
|
ba8657b65410f7a02d40f439319463078f6383a5
| 106
|
py
|
Python
|
tools/third_party/websockets/tests/extensions/test_base.py
|
meyerweb/wpt
|
f04261533819893c71289614c03434c06856c13e
|
[
"BSD-3-Clause"
] | 2,479
|
2018-05-28T14:51:29.000Z
|
2022-03-30T14:41:18.000Z
|
tools/third_party/websockets/tests/extensions/test_base.py
|
meyerweb/wpt
|
f04261533819893c71289614c03434c06856c13e
|
[
"BSD-3-Clause"
] | 7,642
|
2018-05-28T09:38:03.000Z
|
2022-03-31T20:55:48.000Z
|
tools/third_party/websockets/tests/extensions/test_base.py
|
meyerweb/wpt
|
f04261533819893c71289614c03434c06856c13e
|
[
"BSD-3-Clause"
] | 1,303
|
2018-05-29T14:50:02.000Z
|
2022-03-30T17:30:42.000Z
|
from websockets.extensions.base import * # noqa
# Abstract classes don't provide any behavior to test.
| 21.2
| 54
| 0.764151
| 15
| 106
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169811
| 106
| 4
| 55
| 26.5
| 0.920455
| 0.537736
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ba904649465cb6e5f0b38abba1f33d67340ae78d
| 5,852
|
py
|
Python
|
generate_pile.py
|
jcsmccaw/Wood-pile-Lattices
|
16e31b4e8b5bd9939a9b25d8026f2cb6c81f4918
|
[
"MIT"
] | null | null | null |
generate_pile.py
|
jcsmccaw/Wood-pile-Lattices
|
16e31b4e8b5bd9939a9b25d8026f2cb6c81f4918
|
[
"MIT"
] | null | null | null |
generate_pile.py
|
jcsmccaw/Wood-pile-Lattices
|
16e31b4e8b5bd9939a9b25d8026f2cb6c81f4918
|
[
"MIT"
] | null | null | null |
from numpy import array, linspace, floor_divide
from gcode_parsing_functions import *
bound_x = array([50, 60]) # mm
bound_y = array([50, 60]) # mm
height = 5 # mm
first_layer = 0.2 # mm
layer_height = 0.3 # mm
layers = int(floor_divide(height, layer_height))
num_trace_x = 8
num_trace_y = num_trace_x
offset = (bound_x[1] - bound_x[0])/float(num_trace_x)
traverse_height = 4 # mm
E = 0
restart_time = 0
lattice_file = 'wood_lattice.gcode'
x_index = linspace(bound_x[0], bound_x[1], num_trace_x)
y_index = linspace(bound_y[0], bound_y[1], num_trace_y)
z_index = linspace(first_layer, height, layers)
# Open file:
with open(lattice_file, 'w+') as out:
for j in range(layers):
if(j%2 == 0): # Even-numbered layer, so we'll do offset alignment:
# X DIRECTION
# Go to first corner:
line = create_line([None, None, z_index[j]+traverse_height])
output_line(out, line)
line = create_line([x_index[0], y_index[0]+offset, z_index[j]+traverse_height])
output_line(out, line)
line = create_line([None, None, z_index[j]])
output_line(out,line)
for i in range(len(y_index-1)):
if((i%2) == 0): # even-numbered line, go left-to-right
line= create_line([bound_x[1], y_index[i]+offset, None])
fan_on(out, restart_time)
output_line(out, line)
fan_off(out) # FIXME: This will need to be adjusted to connect the traces.
curr_x = bound_x[1]
else: # odd-numbered line, go right-to-left
fan_on(out, restart_time)
line = create_line([bound_x[0], y_index[i]+offset, None])
output_line(out,line)
fan_off(out)
curr_x = bound_x[0]
# move up in the y if we haven't reached the last one:
if(i != num_trace_y-1):
line = create_line([curr_x, y_index[i+1]+offset, None])
output_line(out, line)
# Y DIRECTION
# Go to first corner:
line = create_line([None, None, z_index[j] + traverse_height])
output_line(out, line)
line = create_line([x_index[0]+offset, y_index[0], z_index[j] + traverse_height])
output_line(out, line)
line = create_line([None, None, z_index[j]])
output_line(out, line)
for i in range(len(x_index-1)):
if((i%2) == 0): # even-numbered line, go left-to-right
fan_on(out, restart_time)
line= create_line([x_index[i]+offset, bound_y[1], None])
output_line(out, line)
fan_off(out)
curr_y = bound_y[1]
else:
fan_on(out, restart_time)
line = create_line([x_index[i]+offset, bound_y[0], None])
output_line(out,line)
fan_off(out)
curr_y = bound_y[0]
# move up in the y if we haven't reached the last one:
if(i != num_trace_x-1):
line = create_line([x_index[i+1]+offset, curr_y, None])
output_line(out, line)
else: # Original aligment:
# X DIRECTION
# Go to first corner:
line = create_line([None, None, z_index[j]+traverse_height])
output_line(out, line)
line = create_line([x_index[0], y_index[0], z_index[j]+traverse_height])
output_line(out, line)
line = create_line([None, None, z_index[j]])
output_line(out,line)
for i in range(len(y_index)):
if((i%2) == 0): # even-numbered line, go left-to-right
line= create_line([bound_x[1], y_index[i], None])
fan_on(out, restart_time)
output_line(out, line)
fan_off(out) # FIXME: This will need to be adjusted to connect the traces.
curr_x = bound_x[1]
else:
fan_on(out, restart_time)
line = create_line([bound_x[0], y_index[i], None])
output_line(out,line)
fan_off(out)
curr_x = bound_x[0]
# move up in the y if we haven't reached the last one:
if(i != num_trace_y-1):
line = create_line([curr_x, y_index[i+1], None])
output_line(out, line)
# Y DIRECTION
# Go to first corner:
line = create_line([None, None, z_index[j] + traverse_height])
output_line(out, line)
line = create_line([x_index[0], y_index[0], z_index[j] + traverse_height])
output_line(out, line)
line = create_line([None, None, z_index[j]])
output_line(out, line)
for i in range(len(x_index)):
if((i%2) == 0): # even-numbered line, go left-to-right
fan_on(out, restart_time)
line= create_line([x_index[i], bound_y[1], None])
output_line(out, line)
fan_off(out)
curr_y = bound_y[1]
else:
fan_on(out, restart_time)
line = create_line([x_index[i], bound_y[0], None])
output_line(out,line)
fan_off(out)
curr_y = bound_y[0]
# move up in the y if we haven't reached the last one:
if(i != num_trace_x-1):
line = create_line([x_index[i+1], curr_y, None])
output_line(out, line)
| 44
| 95
| 0.515379
| 803
| 5,852
| 3.521793
| 0.117061
| 0.084866
| 0.118812
| 0.144272
| 0.798444
| 0.796322
| 0.792079
| 0.773692
| 0.773692
| 0.773692
| 0
| 0.018316
| 0.374915
| 5,852
| 133
| 96
| 44
| 0.754784
| 0.127136
| 0
| 0.645455
| 0
| 0
| 0.003937
| 0
| 0
| 0
| 0
| 0.007519
| 0
| 1
| 0
| false
| 0
| 0.018182
| 0
| 0.018182
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ba9436ee2aad9f815ebc308ab8dc53a23cdc1561
| 80
|
py
|
Python
|
databayes/ohlcv/__init__.py
|
alphabayes/databayes
|
310622e2ecc66fb2b046e7e539eeecd4d9a9f528
|
[
"MIT"
] | null | null | null |
databayes/ohlcv/__init__.py
|
alphabayes/databayes
|
310622e2ecc66fb2b046e7e539eeecd4d9a9f528
|
[
"MIT"
] | null | null | null |
databayes/ohlcv/__init__.py
|
alphabayes/databayes
|
310622e2ecc66fb2b046e7e539eeecd4d9a9f528
|
[
"MIT"
] | null | null | null |
from .ohlcv import ohlcvDataAnalyser
from .indicators import OHLCVIndicatorBase
| 26.666667
| 42
| 0.875
| 8
| 80
| 8.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 80
| 2
| 43
| 40
| 0.972222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
bac716729cf502eb0198aff5539233830faa3b14
| 285
|
py
|
Python
|
learning/chain.py
|
wenhuabin/python3
|
55b3e3697121fffde115eaf160ce7264469a7750
|
[
"MIT"
] | null | null | null |
learning/chain.py
|
wenhuabin/python3
|
55b3e3697121fffde115eaf160ce7264469a7750
|
[
"MIT"
] | null | null | null |
learning/chain.py
|
wenhuabin/python3
|
55b3e3697121fffde115eaf160ce7264469a7750
|
[
"MIT"
] | null | null | null |
class Chain(object):
def __init__(self, path=''):
self.__path = path
def __getattr__(self, path):
return Chain('%s/%s' % (self.__path, path))
def __str__(self):
return self.__path
__repr__ = __str__
print(Chain().status.user.timeline.list)
| 19
| 51
| 0.614035
| 35
| 285
| 4.257143
| 0.485714
| 0.268456
| 0.161074
| 0.201342
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242105
| 285
| 14
| 52
| 20.357143
| 0.689815
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.222222
| 0.777778
| 0.111111
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
bad3e55a0231e1d4d9b35aa2b179f2c2ae992f2d
| 24
|
py
|
Python
|
meals/models/__init__.py
|
shafikshaon/daybook
|
cff3ebc636741e8424d1c078c9811db664675a8a
|
[
"MIT"
] | null | null | null |
meals/models/__init__.py
|
shafikshaon/daybook
|
cff3ebc636741e8424d1c078c9811db664675a8a
|
[
"MIT"
] | null | null | null |
meals/models/__init__.py
|
shafikshaon/daybook
|
cff3ebc636741e8424d1c078c9811db664675a8a
|
[
"MIT"
] | null | null | null |
from .meals import Meal
| 12
| 23
| 0.791667
| 4
| 24
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
bae3882098645f44fa81240b67da5efe3f1c8606
| 90
|
py
|
Python
|
models/cifar/__init__.py
|
yassirf/surrogate-active-learning
|
6c9e7baf03857b7c8097e5ea909b354a62a4f0a0
|
[
"MIT"
] | null | null | null |
models/cifar/__init__.py
|
yassirf/surrogate-active-learning
|
6c9e7baf03857b7c8097e5ea909b354a62a4f0a0
|
[
"MIT"
] | null | null | null |
models/cifar/__init__.py
|
yassirf/surrogate-active-learning
|
6c9e7baf03857b7c8097e5ea909b354a62a4f0a0
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
from .densenet import *
from .autoencoder import *
| 22.5
| 38
| 0.822222
| 11
| 90
| 6.272727
| 0.545455
| 0.289855
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 90
| 4
| 39
| 22.5
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
baec459fc118d60ab35a828ca82a7fb9c5e99ba2
| 34
|
py
|
Python
|
bldg_point_clustering/featurizer/__init__.py
|
sguduguntla/bldg_point_clustering
|
ddde78ee2b8af998492d7d05b2d1bffe4d4afc6d
|
[
"MIT"
] | null | null | null |
bldg_point_clustering/featurizer/__init__.py
|
sguduguntla/bldg_point_clustering
|
ddde78ee2b8af998492d7d05b2d1bffe4d4afc6d
|
[
"MIT"
] | null | null | null |
bldg_point_clustering/featurizer/__init__.py
|
sguduguntla/bldg_point_clustering
|
ddde78ee2b8af998492d7d05b2d1bffe4d4afc6d
|
[
"MIT"
] | null | null | null |
from .featurizer import Featurizer
| 34
| 34
| 0.882353
| 4
| 34
| 7.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 34
| 1
| 34
| 34
| 0.967742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
243a9007df9ba80f53ffeee4fb020206a4ea1873
| 819
|
py
|
Python
|
boozo/utils/snek.py
|
skillplot/pyboozo
|
8013704b0d50bbb5a578fbf3a19d3d478d8b6816
|
[
"Apache-2.0"
] | null | null | null |
boozo/utils/snek.py
|
skillplot/pyboozo
|
8013704b0d50bbb5a578fbf3a19d3d478d8b6816
|
[
"Apache-2.0"
] | null | null | null |
boozo/utils/snek.py
|
skillplot/pyboozo
|
8013704b0d50bbb5a578fbf3a19d3d478d8b6816
|
[
"Apache-2.0"
] | null | null | null |
"""Credit: Amir Rachum
Reference: https://amir.rachum.com/blog/2017/07/28/python-entry-points/
"""
fancy = """\
_,..,,,_
'``````^~"-,_`"-,_
.-~c~-. `~:. ^-.
`~~~-.c ; `:. `-, _.-~~^^~:.
`. ; _,--~~~~-._ `:. ~. .~ `.
.` ;' .:` `: `:. ` _.:-,. `.
.' .: :' _.-~^~-. `. `..' .: `. '
: .' _:' .-' `. :. .: .'`. : ;
: `-' .:' `. `^~~^` .:. `. ; ;
`-.__,-~ ~-. ,' ': '.__.` :'
~--..--' ':. .:'
':..___.:'
"""
| 48.176471
| 71
| 0.117216
| 18
| 819
| 4.388889
| 0.833333
| 0.253165
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024316
| 0.598291
| 819
| 17
| 72
| 48.176471
| 0.215805
| 0.111111
| 0
| 0
| 0
| 0
| 0.977839
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2469725ebc26ed174d65329cb396c58f9d3451f1
| 5,845
|
py
|
Python
|
networkx/algorithms/bipartite/tests/test_project.py
|
bjedwards/NetworkX_fork
|
6cb4465d73b8adc4692206fdbc8e1a3934d94fe6
|
[
"BSD-3-Clause"
] | 3
|
2016-02-06T01:18:41.000Z
|
2020-11-10T08:15:33.000Z
|
networkx/algorithms/bipartite/tests/test_project.py
|
tomzhang/NetworkX_fork
|
6cb4465d73b8adc4692206fdbc8e1a3934d94fe6
|
[
"BSD-3-Clause"
] | null | null | null |
networkx/algorithms/bipartite/tests/test_project.py
|
tomzhang/NetworkX_fork
|
6cb4465d73b8adc4692206fdbc8e1a3934d94fe6
|
[
"BSD-3-Clause"
] | 7
|
2015-04-28T19:19:30.000Z
|
2022-02-06T11:46:29.000Z
|
#!/usr/bin/env python
from nose.tools import *
import networkx as nx
class TestBipartiteProject:
def test_path_projected_graph(self):
G=nx.path_graph(4)
P=nx.projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P=nx.projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
def test_path_projected_properties_graph(self):
G=nx.path_graph(4)
G.add_node(1,name='one')
G.add_node(2,name='two')
P=nx.projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
assert_equal(P.node[1]['name'],G.node[1]['name'])
P=nx.projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
assert_equal(P.node[2]['name'],G.node[2]['name'])
def test_path_weighted_projected_graph(self):
G=nx.path_graph(4)
P=nx.weighted_projected_graph(G,[1,3])
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P[1][3]['weight']=1
P=nx.weighted_projected_graph(G,[0,2])
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
P[0][2]['weight']=1
def test_path_collaboration_projected_graph(self):
G=nx.path_graph(4)
P=nx.weighted_projected_graph(G,[1,3],collaboration=True)
assert_equal(sorted(P.nodes()),[1,3])
assert_equal(sorted(P.edges()),[(1,3)])
P[1][3]['weight']=1
P=nx.weighted_projected_graph(G,[0,2],collaboration=True)
assert_equal(sorted(P.nodes()),[0,2])
assert_equal(sorted(P.edges()),[(0,2)])
P[0][2]['weight']=1
def test_star_projected_graph(self):
G=nx.star_graph(3)
P=nx.projected_graph(G,[1,2,3])
assert_equal(sorted(P.nodes()),[1,2,3])
assert_equal(sorted(P.edges()),[(1,2),(1,3),(2,3)])
P=nx.weighted_projected_graph(G,[1,2,3])
assert_equal(sorted(P.nodes()),[1,2,3])
assert_equal(sorted(P.edges()),[(1,2),(1,3),(2,3)])
P=nx.projected_graph(G,[0])
assert_equal(sorted(P.nodes()),[0])
assert_equal(sorted(P.edges()),[])
def test_project_multigraph(self):
G=nx.Graph()
G.add_edge('a',1)
G.add_edge('b',1)
G.add_edge('a',2)
G.add_edge('b',2)
P=nx.projected_graph(G,'ab')
assert_equal(sorted(P.edges()),[('a','b')])
P=nx.weighted_projected_graph(G,'ab')
assert_equal(sorted(P.edges()),[('a','b')])
P=nx.projected_graph(G,'ab',multigraph=True)
assert_equal(sorted(P.edges()),[('a','b'),('a','b')])
def test_project_collaboration(self):
G=nx.Graph()
G.add_edge('a',1)
G.add_edge('b',1)
G.add_edge('b',2)
G.add_edge('c',2)
G.add_edge('c',3)
G.add_edge('c',4)
G.add_edge('b',4)
P=nx.weighted_projected_graph(G,'abc',collaboration=True)
assert_equal(P['a']['b']['weight'],1)
assert_equal(P['b']['c']['weight'],2)
def test_directed_projection(self):
G=nx.DiGraph()
G.add_edge('A',1)
G.add_edge(1,'B')
G.add_edge('A',2)
G.add_edge('B',2)
P=nx.projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
P=nx.weighted_projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
assert_equal(P['A']['B']['weight'],1)
P=nx.projected_graph(G,'AB',multigraph=True)
assert_equal(sorted(P.edges()),[('A','B')])
G=nx.DiGraph()
G.add_edge('A',1)
G.add_edge(1,'B')
G.add_edge('A',2)
G.add_edge(2,'B')
P=nx.projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
P=nx.weighted_projected_graph(G,'AB')
assert_equal(sorted(P.edges()),[('A','B')])
assert_equal(P['A']['B']['weight'],2)
P=nx.projected_graph(G,'AB',multigraph=True)
assert_equal(sorted(P.edges()),[('A','B'),('A','B')])
def test_project_weighted(self):
# Tore Opsahl's example
# http://toreopsahl.com/2009/05/01/projecting-two-mode-networks-onto-weighted-one-mode-networks/
G=nx.Graph()
G.add_edge('A',1)
G.add_edge('A',2)
G.add_edge('B',1)
G.add_edge('B',2)
G.add_edge('B',3)
G.add_edge('B',4)
G.add_edge('B',5)
G.add_edge('C',1)
G.add_edge('D',3)
G.add_edge('E',4)
G.add_edge('E',5)
G.add_edge('E',6)
G.add_edge('F',6)
edges=[('A','B',2),
('A','C',1),
('B','C',1),
('B','D',1),
('B','E',2),
('E','F',1)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
# binary projected
P=nx.projected_graph(G,'ABCDEF')
assert_equal(P.edges(),Panswer.edges())
# weighted projected
P=nx.weighted_projected_graph(G,'ABCDEF')
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
edges=[('A','B',1.5),
('A','C',0.5),
('B','C',0.5),
('B','D',1),
('B','E',2),
('E','F',1)]
Panswer=nx.Graph()
Panswer.add_weighted_edges_from(edges)
# collaboration projected
P=nx.weighted_projected_graph(G,'ABCDEF',collaboration=True)
assert_equal(P.edges(),Panswer.edges())
for u,v in P.edges():
assert_equal(P[u][v]['weight'],Panswer[u][v]['weight'])
| 33.4
| 104
| 0.532592
| 890
| 5,845
| 3.331461
| 0.088764
| 0.155818
| 0.086341
| 0.188196
| 0.798314
| 0.757167
| 0.747723
| 0.703541
| 0.682968
| 0.682968
| 0
| 0.035519
| 0.248589
| 5,845
| 174
| 105
| 33.591954
| 0.639572
| 0.033704
| 0
| 0.576389
| 0
| 0
| 0.038816
| 0
| 0
| 0
| 0
| 0
| 0.291667
| 1
| 0.0625
| false
| 0
| 0.013889
| 0
| 0.083333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 5
|
79f7ad40ed07e101479730a7f3bf096d8ee43c0d
| 174
|
py
|
Python
|
python/testData/inspections/PyStringFormatInspection/UnusedMappingNewStyleFormat.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/inspections/PyStringFormatInspection/UnusedMappingNewStyleFormat.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/inspections/PyStringFormatInspection/UnusedMappingNewStyleFormat.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
<warning descr="Key 'name' has no corresponding argument">"{name}"</warning>.format()
<warning descr="Key 'foo' has no corresponding argument">'{foo}'</warning>.format(boo=1)
| 87
| 88
| 0.724138
| 24
| 174
| 5.25
| 0.5
| 0.190476
| 0.238095
| 0.412698
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006211
| 0.074713
| 174
| 2
| 88
| 87
| 0.776398
| 0
| 0
| 0
| 0
| 0
| 0.514286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
0306daa97ad579e75d88418e5eac58fb48c94afe
| 25
|
py
|
Python
|
labml_nn/activations/__init__.py
|
BioGeek/annotated_deep_learning_paper_implementations
|
e2516cc3063cdfdf11cda05f22a10082297aa33e
|
[
"MIT"
] | 3,714
|
2021-05-26T03:42:15.000Z
|
2022-03-31T16:45:20.000Z
|
labml_nn/activations/__init__.py
|
BioGeek/annotated_deep_learning_paper_implementations
|
e2516cc3063cdfdf11cda05f22a10082297aa33e
|
[
"MIT"
] | 43
|
2021-05-26T05:26:42.000Z
|
2022-03-23T11:50:56.000Z
|
labml_nn/activations/__init__.py
|
BioGeek/annotated_deep_learning_paper_implementations
|
e2516cc3063cdfdf11cda05f22a10082297aa33e
|
[
"MIT"
] | 349
|
2021-05-26T21:07:09.000Z
|
2022-03-31T07:52:00.000Z
|
from .swish import Swish
| 12.5
| 24
| 0.8
| 4
| 25
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
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