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
f38580e8abffb1a15253b9c1839a33ec8f8a63a6
29
py
Python
cls_module/cls_module/memory/ec/__init__.py
pulinagrawal/pt-aha
64180481ddc9f410d776ad204c56429c13744f99
[ "Apache-2.0" ]
null
null
null
cls_module/cls_module/memory/ec/__init__.py
pulinagrawal/pt-aha
64180481ddc9f410d776ad204c56429c13744f99
[ "Apache-2.0" ]
9
2021-02-23T06:32:31.000Z
2022-02-11T00:51:13.000Z
cls_module/cls_module/memory/ec/__init__.py
pulinagrawal/pt-aha
64180481ddc9f410d776ad204c56429c13744f99
[ "Apache-2.0" ]
1
2021-03-23T10:01:36.000Z
2021-03-23T10:01:36.000Z
from .betavae import BetaVAE
14.5
28
0.827586
4
29
6
0.75
0
0
0
0
0
0
0
0
0
0
0
0.137931
29
1
29
29
0.96
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
846f8bfa57b0a0168c7ed3cd5393d1a2c3fb0a5a
339
py
Python
cBufferedTCPIPConnectionAcceptor.py
SkyLined/mTCPIPConnection
52f6152a83a163c9f5a45c3fd6edc840c8e72a3b
[ "CC-BY-4.0" ]
1
2021-01-30T07:26:59.000Z
2021-01-30T07:26:59.000Z
cBufferedTCPIPConnectionAcceptor.py
SkyLined/mTCPIPConnection
52f6152a83a163c9f5a45c3fd6edc840c8e72a3b
[ "CC-BY-4.0" ]
1
2020-06-21T04:16:25.000Z
2020-06-23T09:33:35.000Z
cBufferedTCPIPConnectionAcceptor.py
SkyLined/mTCPIPConnection
52f6152a83a163c9f5a45c3fd6edc840c8e72a3b
[ "CC-BY-4.0" ]
null
null
null
from .cBufferedTCPIPConnection import cBufferedTCPIPConnection; from .cTCPIPConnectionAcceptor import cTCPIPConnectionAcceptor; class cBufferedTCPIPConnectionAcceptor(cTCPIPConnectionAcceptor): def foCreateNewConnectionForPythonSocket(oSelf, oPythonSocket): return cBufferedTCPIPConnection(oPythonSocket, bCreate...
42.375
76
0.876106
20
339
14.85
0.65
0
0
0
0
0
0
0
0
0
0
0
0.076696
339
7
77
48.428571
0.948882
0
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0.4
0.2
1
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
1
1
0
0
6
84b3b0cf95a1fda353f9cc7dd68d6346553cd72f
540
py
Python
CMPE491_HW7_MODELSIM/work.py
EdwinTrejo/CMPE691
10af51e4ff49ae19e5cefcf4b20cacc33373209b
[ "MIT" ]
null
null
null
CMPE491_HW7_MODELSIM/work.py
EdwinTrejo/CMPE691
10af51e4ff49ae19e5cefcf4b20cacc33373209b
[ "MIT" ]
null
null
null
CMPE491_HW7_MODELSIM/work.py
EdwinTrejo/CMPE691
10af51e4ff49ae19e5cefcf4b20cacc33373209b
[ "MIT" ]
null
null
null
import os os.system('echo "DEFAULT : ./work" > synopsys_sim.setup') os.system('rm -rf work') os.system('mkdir work') os.system('vhdlan -full64 $VCS_HOME/packages/IEEE/src/std_logic_textio.vhd') os.system('vhdlan -full64 $VCS_HOME/packages/IEEE/src/std_logic_signed.vhd') os.system('vhdlan -full64 $VCS_HOME/packages/IEEE...
49.090909
78
0.775926
89
540
4.539326
0.314607
0.178218
0.207921
0.29703
0.685644
0.628713
0.628713
0.628713
0.628713
0.628713
0
0.02947
0.057407
540
10
79
54
0.764244
0
0
0
0
0
0.748148
0.437037
0
0
0
0
0
1
0
true
0
0.1
0
0.1
0
0
0
0
null
0
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
1
0
0
0
0
0
0
6
84e0900fc80ec40b960170b3015e94c3fc3a181e
8,044
py
Python
unit_tests/view_modify_land_charge/test_edit_address_for_charge.py
LandRegistry/maintain-frontend
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
[ "MIT" ]
1
2019-10-03T13:58:29.000Z
2019-10-03T13:58:29.000Z
unit_tests/view_modify_land_charge/test_edit_address_for_charge.py
LandRegistry/maintain-frontend
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
[ "MIT" ]
null
null
null
unit_tests/view_modify_land_charge/test_edit_address_for_charge.py
LandRegistry/maintain-frontend
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
[ "MIT" ]
1
2021-04-11T05:24:57.000Z
2021-04-11T05:24:57.000Z
from maintain_frontend import main from flask_testing import TestCase from unit_tests.utilities import Utilities from flask import url_for from maintain_frontend.dependencies.session_api.session import Session from maintain_frontend.services import charge_id_services from maintain_frontend.models import LocalLandCharge...
39.625616
110
0.701765
935
8,044
5.719786
0.131551
0.041137
0.056096
0.078534
0.80086
0.78347
0.78347
0.764585
0.735041
0.735041
0
0.011962
0.199776
8,044
202
111
39.821782
0.81886
0
0
0.588235
0
0
0.122452
0.028593
0
0
0
0
0.169935
1
0.084967
false
0
0.058824
0
0.156863
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
ca0cbaeca34cae54d5f7e1c273f7cf135f451066
2,800
py
Python
gwlfe/Output/Loading/StreamBankN.py
mudkipmaster/gwlf-e
9e058445537dd32d1916f76c4b73ca64261771cd
[ "Apache-2.0" ]
null
null
null
gwlfe/Output/Loading/StreamBankN.py
mudkipmaster/gwlf-e
9e058445537dd32d1916f76c4b73ca64261771cd
[ "Apache-2.0" ]
6
2018-07-24T22:46:28.000Z
2018-07-29T19:13:09.000Z
gwlfe/Output/Loading/StreamBankN.py
mudkipmaster/gwlf-e
9e058445537dd32d1916f76c4b73ca64261771cd
[ "Apache-2.0" ]
1
2018-07-24T18:22:01.000Z
2018-07-24T18:22:01.000Z
from numpy import zeros from gwlfe.Memoization import memoize from gwlfe.Output.Loading.StreamBankEros import StreamBankEros from gwlfe.Output.Loading.StreamBankEros import StreamBankEros_f @memoize def StreamBankN(NYrs, DaysMonth, Temp, InitSnow_0, Prec, NRur, NUrb, Area, CNI_0, AntMoist_0, Grow_0, ...
62.222222
105
0.612857
266
2,800
6.296992
0.255639
0.031045
0.040597
0.059701
0.841194
0.841194
0.841194
0.774328
0.774328
0.774328
0
0.030099
0.311786
2,800
44
106
63.636364
0.839128
0
0
0.615385
0
0
0
0
0
0
0
0
0
1
0.051282
false
0
0.102564
0.025641
0.205128
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
ca0dbbe1bd568465973324ec585e89c1f44dba85
6,277
py
Python
rnns/single_layer_uni_rnns_test.py
luozhouyang/rnns_outputs_and_shapes
7de6c6d3561fd13358878fdbf928f07e072d45c9
[ "Apache-2.0" ]
1
2019-01-20T03:12:05.000Z
2019-01-20T03:12:05.000Z
rnns/single_layer_uni_rnns_test.py
luozhouyang/rnns_outputs_and_shapes
7de6c6d3561fd13358878fdbf928f07e072d45c9
[ "Apache-2.0" ]
null
null
null
rnns/single_layer_uni_rnns_test.py
luozhouyang/rnns_outputs_and_shapes
7de6c6d3561fd13358878fdbf928f07e072d45c9
[ "Apache-2.0" ]
null
null
null
import tensorflow as tf from . import common_test_utils as common_utils class SingleLayerUniRNNsTest(tf.test.TestCase): def testSingleLayerUniLSTM(self): uni_lstm = tf.nn.rnn_cell.LSTMCell(num_units=common_utils.DEPTH) seq_placeholder = tf.placeholder(dtype=tf.float32.as_numpy_dtype, ...
49.425197
99
0.606978
793
6,277
4.543506
0.107188
0.048571
0.085484
0.046628
0.885651
0.876769
0.844852
0.824036
0.809881
0.809881
0
0.00955
0.299347
6,277
126
100
49.81746
0.809686
0.042218
0
0.598039
0
0
0.155103
0
0
0
0
0
0
1
0.039216
false
0
0.019608
0
0.068627
0.215686
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
ca0f09409e42f9e7fab1d66db8720788fb81efb9
7
py
Python
01_Language/05_Python/study/lesson_06/hello/b.py
cliff363825/TwentyFour
09df59bd5d275e66463e343647f46027397d1233
[ "MIT" ]
3
2020-06-28T07:42:51.000Z
2021-01-15T10:32:11.000Z
01_Language/05_Python/study/lesson_06/hello/b.py
cliff363825/TwentyFour
09df59bd5d275e66463e343647f46027397d1233
[ "MIT" ]
9
2021-03-10T22:45:40.000Z
2022-02-27T06:53:20.000Z
01_Language/05_Python/study/lesson_06/hello/b.py
cliff363825/TwentyFour
09df59bd5d275e66463e343647f46027397d1233
[ "MIT" ]
1
2021-01-15T10:51:24.000Z
2021-01-15T10:51:24.000Z
d = 40
3.5
6
0.428571
2
7
1.5
1
0
0
0
0
0
0
0
0
0
0
0.5
0.428571
7
1
7
7
0.25
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
ca1b2418b4f682279cb67afd2fec4729627070d1
139
py
Python
depcheck/util.py
flix-tech/depcheck
12b17752ebb4668c08941324f7d6a2cec6ab72c0
[ "MIT" ]
3
2021-04-12T15:14:02.000Z
2021-12-17T22:48:39.000Z
depcheck/util.py
flix-tech/depcheck
12b17752ebb4668c08941324f7d6a2cec6ab72c0
[ "MIT" ]
null
null
null
depcheck/util.py
flix-tech/depcheck
12b17752ebb4668c08941324f7d6a2cec6ab72c0
[ "MIT" ]
null
null
null
from typing import List def flatten(list_2d: List[List[str]]) -> List[str]: return [item for sublist in list_2d for item in sublist]
23.166667
60
0.719424
24
139
4.083333
0.541667
0.122449
0
0
0
0
0
0
0
0
0
0.017544
0.179856
139
5
61
27.8
0.842105
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
1
0
0
6
ca93fa4f44d5454481fb1eee5b991c845785fbb1
46
py
Python
historia/namegen/__init__.py
eranimo/historia
5e0b047d4bcdd534f48f8b9bf19d425b0b31a3fd
[ "MIT" ]
6
2016-04-26T18:39:36.000Z
2021-09-01T09:13:38.000Z
historia/namegen/__init__.py
eranimo/historia
5e0b047d4bcdd534f48f8b9bf19d425b0b31a3fd
[ "MIT" ]
null
null
null
historia/namegen/__init__.py
eranimo/historia
5e0b047d4bcdd534f48f8b9bf19d425b0b31a3fd
[ "MIT" ]
4
2016-04-10T23:47:23.000Z
2021-08-15T11:40:28.000Z
from historia.namegen.word import random_word
23
45
0.869565
7
46
5.571429
0.857143
0
0
0
0
0
0
0
0
0
0
0
0.086957
46
1
46
46
0.928571
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
04adb6dbd6ad1e3c7440650bd38a0b6c01e75c39
3,206
py
Python
src/modules/agents/rnn_agent.py
vanstrn/LICA
9dcc598f3b5329e2b266a319ac9552bb962c59ae
[ "MIT" ]
null
null
null
src/modules/agents/rnn_agent.py
vanstrn/LICA
9dcc598f3b5329e2b266a319ac9552bb962c59ae
[ "MIT" ]
null
null
null
src/modules/agents/rnn_agent.py
vanstrn/LICA
9dcc598f3b5329e2b266a319ac9552bb962c59ae
[ "MIT" ]
null
null
null
import torch.nn as nn import torch.nn.functional as F class RNNAgent(nn.Module): def __init__(self, input_shape, args): super(RNNAgent, self).__init__() self.args = args self.fc1 = nn.Linear(input_shape, args.rnn_hidden_dim) self.rnn = nn.GRUCell(args.rnn_hidden_dim, args.rnn_hidd...
38.626506
90
0.518403
410
3,206
3.880488
0.190244
0.052797
0.098052
0.120679
0.80704
0.777498
0.720302
0.720302
0.720302
0.606537
0
0.053197
0.360886
3,206
82
91
39.097561
0.72328
0.026513
0
0.623188
0
0
0.012508
0
0
0
0
0
0
1
0.086957
false
0
0.028986
0.028986
0.202899
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
04c5fe0d67e252ab1504aba1aeae615503dd6950
29,779
py
Python
cogs/shop.py
jeraldlyh/horizon
8898019d79ed168b991a649c1f84b7d1ec4c433d
[ "Apache-2.0" ]
2
2021-07-06T10:42:02.000Z
2021-07-06T11:16:53.000Z
cogs/shop.py
jeraldlyh/horizon
8898019d79ed168b991a649c1f84b7d1ec4c433d
[ "Apache-2.0" ]
null
null
null
cogs/shop.py
jeraldlyh/horizon
8898019d79ed168b991a649c1f84b7d1ec4c433d
[ "Apache-2.0" ]
null
null
null
import pymongo import discord import datetime import pytz import os from discord.ext import commands from cogs.utils.checks import is_economy_channel, has_registered from cogs.utils.embed import (passembed, errorembed) class Shop(commands.Cog): def __init__(self, bot): self.bot = bot self.client ...
78.365789
791
0.611706
3,299
29,779
5.515914
0.075781
0.040062
0.019783
0.028027
0.863824
0.857449
0.8508
0.823542
0.809694
0.804528
0
0.092106
0.227442
29,779
380
792
78.365789
0.695558
0.272575
0
0.590164
0
0.122951
0.433027
0.227513
0
0
0
0
0
1
0.008197
false
0.040984
0.032787
0
0.131148
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
04c9357463226ce402d8643fdbfb9fac935f0cb7
454
py
Python
someapp/views.py
Martynas-P/django-server-rendering
5abb6cef2f79e67c0db5cb6c9f88dccfbeaf3d0c
[ "Apache-2.0" ]
null
null
null
someapp/views.py
Martynas-P/django-server-rendering
5abb6cef2f79e67c0db5cb6c9f88dccfbeaf3d0c
[ "Apache-2.0" ]
null
null
null
someapp/views.py
Martynas-P/django-server-rendering
5abb6cef2f79e67c0db5cb6c9f88dccfbeaf3d0c
[ "Apache-2.0" ]
null
null
null
from node_renderer.render_helpers import render_component def home_page(request): return render_component(request) def component_a(request): return render_component(request) def async_component(request): return render_component(request) def square(request, number_to_square): number_to_square = int(...
25.222222
61
0.764317
57
454
5.754386
0.350877
0.228659
0.256098
0.341463
0.347561
0.347561
0
0
0
0
0
0
0.147577
454
18
62
25.222222
0.847545
0
0
0.25
0
0
0.050549
0
0
0
0
0
0
1
0.333333
false
0
0.083333
0.25
0.75
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6
04deed745fce5b2d9e33c08a66c8eeaf6c2763bd
31,765
py
Python
venv/lib/python3.8/site-packages/ansible_collections/community/dns/tests/unit/plugins/module_utils/test_resolver.py
saeedya/docker-ansible
6fb0cfc6bc4a5925b21380952a5a4502ec02119a
[ "Apache-2.0" ]
null
null
null
venv/lib/python3.8/site-packages/ansible_collections/community/dns/tests/unit/plugins/module_utils/test_resolver.py
saeedya/docker-ansible
6fb0cfc6bc4a5925b21380952a5a4502ec02119a
[ "Apache-2.0" ]
null
null
null
venv/lib/python3.8/site-packages/ansible_collections/community/dns/tests/unit/plugins/module_utils/test_resolver.py
saeedya/docker-ansible
6fb0cfc6bc4a5925b21380952a5a4502ec02119a
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # (c) 2021, Felix Fontein <felix@fontein.de> # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Make coding more python3-ish from __future__ import absolute_import, division, print_function __metaclass__ = type import pytest from ansible_collectio...
39.313119
138
0.496931
3,333
31,765
4.594359
0.055206
0.015934
0.01724
0.014106
0.891922
0.884673
0.87873
0.869131
0.850584
0.843532
0
0.035386
0.359452
31,765
807
139
39.361834
0.717206
0.015867
0
0.695251
0
0
0.17023
0.015554
0
0
0
0
0.068602
1
0.014512
false
0.001319
0.014512
0
0.030343
0.003958
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
04edc550fb35fb60b21d62afbfbb9d6791022b26
23
py
Python
presto/animations/__init__.py
jacquelinegarrahan/presto
c5f4670fc07d56c44811a96ba6977f58b1cc1a35
[ "Apache-2.0" ]
null
null
null
presto/animations/__init__.py
jacquelinegarrahan/presto
c5f4670fc07d56c44811a96ba6977f58b1cc1a35
[ "Apache-2.0" ]
null
null
null
presto/animations/__init__.py
jacquelinegarrahan/presto
c5f4670fc07d56c44811a96ba6977f58b1cc1a35
[ "Apache-2.0" ]
null
null
null
from .mesh import Mesh
11.5
22
0.782609
4
23
4.5
0.75
0
0
0
0
0
0
0
0
0
0
0
0.173913
23
1
23
23
0.947368
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
b6e5def6a1ab8835a3f5ab41cd768ea8c193c6ca
92
py
Python
tools/utils/__init__.py
littlepure2333/st-gcn
1b002c6d42902d135da605d649654aa00cad0d06
[ "BSD-2-Clause" ]
null
null
null
tools/utils/__init__.py
littlepure2333/st-gcn
1b002c6d42902d135da605d649654aa00cad0d06
[ "BSD-2-Clause" ]
null
null
null
tools/utils/__init__.py
littlepure2333/st-gcn
1b002c6d42902d135da605d649654aa00cad0d06
[ "BSD-2-Clause" ]
null
null
null
from . import video from . import openpose from . import visualization from . import printer
23
27
0.793478
12
92
6.083333
0.5
0.547945
0
0
0
0
0
0
0
0
0
0
0.163043
92
4
28
23
0.948052
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
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
8e045932344a9e10a2ae12ed14fd5a12ec6c0cf8
81
py
Python
csgl/__init__.py
geraldzakwan/ITBMaps
d31a0751d5b6b958ea3c831ac218e7e869c409c8
[ "MIT", "WTFPL", "Unlicense" ]
null
null
null
csgl/__init__.py
geraldzakwan/ITBMaps
d31a0751d5b6b958ea3c831ac218e7e869c409c8
[ "MIT", "WTFPL", "Unlicense" ]
null
null
null
csgl/__init__.py
geraldzakwan/ITBMaps
d31a0751d5b6b958ea3c831ac218e7e869c409c8
[ "MIT", "WTFPL", "Unlicense" ]
null
null
null
from csgl.vec4 import vec4 from csgl.vec3 import vec3 from csgl.mat4 import mat4
20.25
26
0.814815
15
81
4.4
0.4
0.363636
0
0
0
0
0
0
0
0
0
0.086957
0.148148
81
3
27
27
0.869565
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
8e2e39b576a9a3bb68d3b88f4b1dd485bedb8b5a
148
py
Python
mangrove/transport/xforms/xml_dict_conversion.py
mariot/mangrove
376bca99818c6cc1d08b1c726f46b364c69b0cc7
[ "BSD-3-Clause" ]
null
null
null
mangrove/transport/xforms/xml_dict_conversion.py
mariot/mangrove
376bca99818c6cc1d08b1c726f46b364c69b0cc7
[ "BSD-3-Clause" ]
null
null
null
mangrove/transport/xforms/xml_dict_conversion.py
mariot/mangrove
376bca99818c6cc1d08b1c726f46b364c69b0cc7
[ "BSD-3-Clause" ]
null
null
null
import xmldict def xml_to_dict(xml_string): return xmldict.xml_to_dict(xml_string) def dict_to_xml(dict): return xmldict.dict_to_xml(dict)
21.142857
42
0.790541
26
148
4.115385
0.307692
0.093458
0.168224
0.224299
0.336449
0
0
0
0
0
0
0
0.128378
148
7
43
21.142857
0.829457
0
0
0
0
0
0
0
0
0
0
0
0
1
0.4
false
0
0.2
0.4
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
1
0
0
6
8e3b60a15abe2607c62bae1badc77ce9e1d086f2
176
py
Python
tests/ecdsa/__init__.py
GRS-Community/pycoin
4a9b9722c91e2831519ddf9675fe8c70246432b7
[ "MIT" ]
5
2017-12-15T13:40:50.000Z
2021-12-18T13:18:54.000Z
tests/ecdsa/__init__.py
GRS-Community/pycoin
4a9b9722c91e2831519ddf9675fe8c70246432b7
[ "MIT" ]
1
2018-08-06T03:48:14.000Z
2018-09-03T03:01:03.000Z
tests/ecdsa/__init__.py
GRS-Community/pycoin
4a9b9722c91e2831519ddf9675fe8c70246432b7
[ "MIT" ]
6
2018-08-24T18:49:47.000Z
2021-01-19T10:04:08.000Z
import doctest import pycoin.tx.script.microcode def load_tests(loader, tests, ignore): tests.addTests(doctest.DocTestSuite(pycoin.tx.script.microcode)) return tests
22
68
0.784091
23
176
5.956522
0.608696
0.116788
0.20438
0.335766
0
0
0
0
0
0
0
0
0.119318
176
7
69
25.142857
0.883871
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
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
1
0
0
6
f3f0b7e463ae1d2aebee4d11c7d7558f104431b3
22
py
Python
src/HiddenMarkov/__init__.py
jonathan-smith-1/HMM
7e38205deb071500b5e2fb43cb9b270825ca02b4
[ "MIT" ]
null
null
null
src/HiddenMarkov/__init__.py
jonathan-smith-1/HMM
7e38205deb071500b5e2fb43cb9b270825ca02b4
[ "MIT" ]
null
null
null
src/HiddenMarkov/__init__.py
jonathan-smith-1/HMM
7e38205deb071500b5e2fb43cb9b270825ca02b4
[ "MIT" ]
null
null
null
from .Models import *
11
21
0.727273
3
22
5.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.181818
22
1
22
22
0.888889
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
ed964eb19de632be17b85c830d02a741b20fb161
118
py
Python
templates/python/http/handler.py
salaboy/function-buildpacks-for-knative
166c150a1eb96c1bed7a412564e3168b46429e6e
[ "BSD-2-Clause" ]
null
null
null
templates/python/http/handler.py
salaboy/function-buildpacks-for-knative
166c150a1eb96c1bed7a412564e3168b46429e6e
[ "BSD-2-Clause" ]
null
null
null
templates/python/http/handler.py
salaboy/function-buildpacks-for-knative
166c150a1eb96c1bed7a412564e3168b46429e6e
[ "BSD-2-Clause" ]
null
null
null
from typing import Any def handler(req: Any): # Your function implementation goes here return "Hello world!"
19.666667
44
0.720339
16
118
5.3125
0.9375
0
0
0
0
0
0
0
0
0
0
0
0.211864
118
5
45
23.6
0.913978
0.322034
0
0
0
0
0.153846
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
1
0
0
6
edc121b696793044d24264fc2bfde4a5bf5c1711
13,630
py
Python
skymaps/skymaps.py
reedessick/event_supervisor2
d077b767a2dafa386a952b0604362d316db4d226
[ "MIT" ]
null
null
null
skymaps/skymaps.py
reedessick/event_supervisor2
d077b767a2dafa386a952b0604362d316db4d226
[ "MIT" ]
3
2016-12-06T23:23:21.000Z
2017-02-21T20:38:05.000Z
skymaps/skymaps.py
reedessick/event_supervisor2
d077b767a2dafa386a952b0604362d316db4d226
[ "MIT" ]
null
null
null
description = "a module housing checks of skymaps functionality" author = "reed.essick@ligo.org" #--------------------------------------------------------------------------------------------------- import eventSupervisor.eventSupervisorUtils as esUtils import os import numpy as np import healpy as hp #-------...
35.03856
166
0.530888
1,196
13,630
5.995819
0.160535
0.045182
0.023009
0.022312
0.788593
0.764607
0.763771
0.762655
0.725561
0.701297
0
0.00265
0.335437
13,630
388
167
35.128866
0.789026
0.16449
0
0.700422
0
0
0.103439
0
0
0
0
0
0
1
0.037975
false
0
0.016878
0
0.130802
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
eddc46936f63e5078b00b5de327cbc8a8f7d4fa4
26
py
Python
github_approval_checker/utils/__init__.py
amplify-education/github_approval_checker
8f3bff0d9f282add2cf2b5eb6d26b6710740bd4b
[ "MIT" ]
null
null
null
github_approval_checker/utils/__init__.py
amplify-education/github_approval_checker
8f3bff0d9f282add2cf2b5eb6d26b6710740bd4b
[ "MIT" ]
null
null
null
github_approval_checker/utils/__init__.py
amplify-education/github_approval_checker
8f3bff0d9f282add2cf2b5eb6d26b6710740bd4b
[ "MIT" ]
1
2018-02-15T13:51:31.000Z
2018-02-15T13:51:31.000Z
"Initialize Utils Module"
13
25
0.807692
3
26
7
1
0
0
0
0
0
0
0
0
0
0
0
0.115385
26
1
26
26
0.913043
0.884615
0
0
0
0
0.884615
0
0
0
0
0
0
1
0
true
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
6
edefbb356345ed3a5d401d78008b26175e4edc7b
47
py
Python
padertorch/modules/wavenet/__init__.py
sibange/padertorch
494692d877f04c66847c2943795b23aea488217d
[ "MIT" ]
62
2019-12-22T08:30:29.000Z
2022-03-22T11:02:59.000Z
padertorch/modules/wavenet/__init__.py
sibange/padertorch
494692d877f04c66847c2943795b23aea488217d
[ "MIT" ]
47
2020-01-06T09:23:47.000Z
2022-01-24T16:55:06.000Z
padertorch/modules/wavenet/__init__.py
sibange/padertorch
494692d877f04c66847c2943795b23aea488217d
[ "MIT" ]
13
2019-12-16T08:12:46.000Z
2021-11-08T14:37:06.000Z
from .wavenet import * from . import nv_wavenet
23.5
24
0.787234
7
47
5.142857
0.571429
0
0
0
0
0
0
0
0
0
0
0
0.148936
47
2
24
23.5
0.9
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
fcb6934e2f345f6fb41b239caf3112759e0689dd
54,506
py
Python
data_management/tests/test_api.py
FAIRDataPipeline/data-registry
656ba8893b39ee2a73e51e79722e0363125ed8f4
[ "BSD-2-Clause" ]
null
null
null
data_management/tests/test_api.py
FAIRDataPipeline/data-registry
656ba8893b39ee2a73e51e79722e0363125ed8f4
[ "BSD-2-Clause" ]
116
2021-06-28T11:11:59.000Z
2022-03-24T09:29:30.000Z
data_management/tests/test_api.py
ScottishCovidResponse/data-registry
92753a7067b409c06bf38cf8c493cea4570fc34f
[ "BSD-2-Clause" ]
1
2022-03-16T10:36:27.000Z
2022-03-16T10:36:27.000Z
from django.test import TestCase from django.urls import reverse from django.contrib.auth import get_user_model from rest_framework.test import APIClient from .initdb import init_db from .init_prov_db import init_db as init_prov_db class UsersAPITests(TestCase): def setUp(self): self.user = get_user_mod...
40.107432
391
0.623638
6,239
54,506
5.284982
0.057862
0.10827
0.108816
0.062233
0.856822
0.835684
0.827404
0.805386
0.768841
0.759531
0
0.017857
0.235589
54,506
1,358
392
40.136966
0.773527
0.00644
0
0.625335
0
0.008921
0.220556
0.072805
0
0
0
0
0.231044
1
0.084746
false
0
0.005352
0
0.139161
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
fcd9c908da3890a36fa35654f4d8d5018e6650f5
3,765
py
Python
model/topoml_util/np_gaussian_2d_loss.py
Empythy/geometry-learning
5300d421ef848c2748a2ba41ced5c6e2fba93200
[ "MIT" ]
21
2018-10-09T08:15:29.000Z
2022-03-16T08:23:08.000Z
model/topoml_util/np_gaussian_2d_loss.py
reinvantveer/Topology-Learning
5300d421ef848c2748a2ba41ced5c6e2fba93200
[ "MIT" ]
31
2017-09-20T13:30:37.000Z
2018-03-01T13:24:58.000Z
model/topoml_util/np_gaussian_2d_loss.py
reinvantveer/Topology-Learning
5300d421ef848c2748a2ba41ced5c6e2fba93200
[ "MIT" ]
7
2018-11-29T11:39:02.000Z
2022-01-12T07:10:26.000Z
import numpy as np epsilon = 1e-8 def softplus(x): return np.logaddexp(1.0, x) def softmax(x): """Compute softmax values for each sets of scores in x.""" e_x = np.exp(x - np.max(x)) return e_x / e_x.sum() # Adapted version of the probability density function of # https://en.wikipedia.org/wiki/Mult...
43.77907
108
0.627623
661
3,765
3.534039
0.178517
0.013699
0.013699
0.035959
0.937072
0.913527
0.892123
0.892123
0.892123
0.892123
0
0.05724
0.220452
3,765
85
109
44.294118
0.722317
0.441169
0
0.5
0
0
0
0
0
0
0
0
0
1
0.096154
false
0
0.019231
0.019231
0.211538
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
fce59b58f4c73f4a4fbfd736239981b67283c5dc
110
py
Python
flask-crud-webapp/app/home/__init__.py
herculeshssj/python
c1a0134c405cd7e68fd6d9103894c83d002daa7e
[ "MIT" ]
null
null
null
flask-crud-webapp/app/home/__init__.py
herculeshssj/python
c1a0134c405cd7e68fd6d9103894c83d002daa7e
[ "MIT" ]
null
null
null
flask-crud-webapp/app/home/__init__.py
herculeshssj/python
c1a0134c405cd7e68fd6d9103894c83d002daa7e
[ "MIT" ]
null
null
null
# app/home/__init__.py from . import views #from flask import Blueprint #home = Blueprint('home', __name__)
15.714286
35
0.736364
15
110
4.866667
0.666667
0.356164
0
0
0
0
0
0
0
0
0
0
0.145455
110
6
36
18.333333
0.776596
0.736364
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
1e4ee4ecd25039d4606c113d15afa361200f77d2
40
py
Python
rattr/__init__.py
SuadeLabs/rattr
22b82d31d4cebf0a7107fa1fb496a070b2e1f4ad
[ "MIT" ]
6
2021-11-10T11:13:37.000Z
2022-01-19T16:15:17.000Z
rattr/__init__.py
SuadeLabs/ratter
22b82d31d4cebf0a7107fa1fb496a070b2e1f4ad
[ "MIT" ]
13
2021-11-10T11:39:12.000Z
2022-03-01T10:27:49.000Z
rattr/__init__.py
SuadeLabs/rattr
22b82d31d4cebf0a7107fa1fb496a070b2e1f4ad
[ "MIT" ]
null
null
null
from rattr.config import config # noqa
20
39
0.775
6
40
5.166667
0.833333
0
0
0
0
0
0
0
0
0
0
0
0.175
40
1
40
40
0.939394
0.1
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
1e584f0de4d2363cb497fb8cb547cc4337d0e2b1
26
py
Python
utubik/__init__.py
khorolets/utubik
cb4c137e330a95dc465e043a498c40bee8ef5130
[ "MIT" ]
null
null
null
utubik/__init__.py
khorolets/utubik
cb4c137e330a95dc465e043a498c40bee8ef5130
[ "MIT" ]
null
null
null
utubik/__init__.py
khorolets/utubik
cb4c137e330a95dc465e043a498c40bee8ef5130
[ "MIT" ]
null
null
null
from .core import YouTube
13
25
0.807692
4
26
5.25
1
0
0
0
0
0
0
0
0
0
0
0
0.153846
26
1
26
26
0.954545
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
1ebd81b0dc2d6946a51e016822ab75130db20a8a
27
py
Python
qulab/security/__init__.py
ParanoiaSYT/Qulab-backup
09ec5457145b3789d4c1ac02c43dd3e6dfafc96f
[ "MIT" ]
null
null
null
qulab/security/__init__.py
ParanoiaSYT/Qulab-backup
09ec5457145b3789d4c1ac02c43dd3e6dfafc96f
[ "MIT" ]
null
null
null
qulab/security/__init__.py
ParanoiaSYT/Qulab-backup
09ec5457145b3789d4c1ac02c43dd3e6dfafc96f
[ "MIT" ]
null
null
null
from .key_derive import *
13.5
26
0.740741
4
27
4.75
1
0
0
0
0
0
0
0
0
0
0
0
0.185185
27
1
27
27
0.863636
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
949a2e72d02d05f2b75b7943624b31e93d3b1a4f
3,603
py
Python
code/preprocessing.py
guangyizhangbci/EEG_Riemannian
2d301bf3d06a192da2829c1c54b24d388ddea1dd
[ "MIT" ]
12
2022-02-22T17:15:04.000Z
2022-03-19T11:41:15.000Z
code/preprocessing.py
guangyizhangbci/RFNet
2d301bf3d06a192da2829c1c54b24d388ddea1dd
[ "MIT" ]
null
null
null
code/preprocessing.py
guangyizhangbci/RFNet
2d301bf3d06a192da2829c1c54b24d388ddea1dd
[ "MIT" ]
null
null
null
import numpy as np from tqdm import tqdm from load_data import load_data from library.signal_filtering import signal_filtering import os fs = 250 ''' This pre-processing file is for BCI_IV_2a and BCI_IV_2b datasets ''' def bci_iv_2a(self): PATH = '/media/patrick/DATA/BCI_Competition/' data_train_addr = o...
30.025
99
0.685262
504
3,603
4.236111
0.130952
0.112412
0.06089
0.078689
0.853864
0.846838
0.843091
0.833255
0.822482
0.785948
0
0.007317
0.203442
3,603
119
100
30.277311
0.736585
0.097974
0
0.580645
0
0
0.082118
0.020926
0
0
0
0
0
1
0.032258
false
0
0.080645
0
0.112903
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
94d1b4ec23d388cc24507da42e59e7b4e87a9634
156
py
Python
great_expectations/__init__.py
mastratton3/great_expectations
151970d776c942bfc23cdd90c7ed00b57a34559d
[ "Apache-2.0" ]
null
null
null
great_expectations/__init__.py
mastratton3/great_expectations
151970d776c942bfc23cdd90c7ed00b57a34559d
[ "Apache-2.0" ]
null
null
null
great_expectations/__init__.py
mastratton3/great_expectations
151970d776c942bfc23cdd90c7ed00b57a34559d
[ "Apache-2.0" ]
null
null
null
from .util import * from great_expectations import data_asset from great_expectations.data_context import get_data_context from .version import __version__
31.2
60
0.871795
22
156
5.727273
0.454545
0.142857
0.333333
0
0
0
0
0
0
0
0
0
0.102564
156
5
61
31.2
0.9
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
a20d3ffba4f5a4d83db114e200b09b4f5f11f58e
7,129
py
Python
FEM/Solvers/NoLineal.py
ZibraMax/FEM
b868c60408a4f83dec4bb424d66be0b20e2ac71b
[ "MIT" ]
10
2021-03-21T18:38:40.000Z
2022-02-22T01:32:06.000Z
FEM/Solvers/NoLineal.py
ZibraMax/FEM
b868c60408a4f83dec4bb424d66be0b20e2ac71b
[ "MIT" ]
null
null
null
FEM/Solvers/NoLineal.py
ZibraMax/FEM
b868c60408a4f83dec4bb424d66be0b20e2ac71b
[ "MIT" ]
1
2022-02-08T04:40:59.000Z
2022-02-08T04:40:59.000Z
"""Define the structure of a non lineal finite element solver """ import numpy as np import logging from tqdm import tqdm class NonLinealSolver(): """General class for non lineal solvers Args: tol (float): Tolerance for the maximum absolute value for the delta vector n (int): Maximum number o...
37.130208
134
0.557161
847
7,129
4.652893
0.160567
0.106572
0.04745
0.033494
0.805126
0.770617
0.766557
0.766557
0.766557
0.749302
0
0.010563
0.30944
7,129
191
135
37.324607
0.789965
0.270024
0
0.60177
0
0
0.140568
0.004868
0
0
0
0
0
1
0.070796
false
0
0.026549
0
0.132743
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
bf44981de0b85151eb549654e23d395a14976340
184
py
Python
openpype/modules/ftrack/lib/settings.py
jonclothcat/OpenPype
d1208cbebc0a7f378de0062ccd653295c6399195
[ "MIT" ]
87
2021-05-07T08:40:46.000Z
2022-03-19T00:36:25.000Z
openpype/modules/ftrack/lib/settings.py
zafrs/OpenPype
4b8e7e1ed002fc55b31307efdea70b0feaed474f
[ "MIT" ]
1,019
2021-04-26T06:22:56.000Z
2022-03-31T16:30:43.000Z
openpype/modules/ftrack/lib/settings.py
zafrs/OpenPype
4b8e7e1ed002fc55b31307efdea70b0feaed474f
[ "MIT" ]
33
2021-04-29T12:35:54.000Z
2022-03-25T14:48:42.000Z
import os def get_ftrack_event_mongo_info(): database_name = os.environ["OPENPYPE_DATABASE_NAME"] collection_name = "ftrack_events" return database_name, collection_name
23
56
0.782609
24
184
5.541667
0.625
0.270677
0.330827
0.390977
0
0
0
0
0
0
0
0
0.146739
184
7
57
26.285714
0.847134
0
0
0
0
0
0.190217
0.119565
0
0
0
0
0
1
0.2
false
0
0.2
0
0.6
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
6
bf5a74eb21e5f4dfcbd2bef3af33d39dc4c422b1
226
py
Python
csepy/System/OperatingSystem/OperatingSystemIdentifier.py
csepy/csepy
3dc39e60948d62bede48bddac0ad5aa8533550d3
[ "MIT" ]
1
2019-12-11T10:41:40.000Z
2019-12-11T10:41:40.000Z
csepy/System/OperatingSystem/OperatingSystemIdentifier.py
csepy/csepy
3dc39e60948d62bede48bddac0ad5aa8533550d3
[ "MIT" ]
null
null
null
csepy/System/OperatingSystem/OperatingSystemIdentifier.py
csepy/csepy
3dc39e60948d62bede48bddac0ad5aa8533550d3
[ "MIT" ]
null
null
null
#!/usr/bin/python3 import platform def GetOperatingSystemName(): return platform.system() def GetOperatingSystemRelease(): return platform.release() def GetOperatingSystemVersion(): return platform.version()
15.066667
32
0.752212
20
226
8.5
0.65
0.247059
0
0
0
0
0
0
0
0
0
0.005181
0.146018
226
14
33
16.142857
0.875648
0.075221
0
0
0
0
0
0
0
0
0
0
0
1
0.428571
true
0
0.142857
0.428571
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
1
1
0
0
6
bf81779ca611dace6d33660f506fe310091ed10c
43
py
Python
Week 1 - Not so-simple Hello World/Hello World.py
Jasleenk47/BeginnerRoom-2020
32903f6917a236fe685106c148b8531c62210f1f
[ "Unlicense" ]
5
2021-01-19T00:31:22.000Z
2021-03-05T02:31:10.000Z
Week 1 - Not so-simple Hello World/Hello World.py
Jasleenk47/BeginnerRoom-2020
32903f6917a236fe685106c148b8531c62210f1f
[ "Unlicense" ]
34
2021-01-14T21:00:18.000Z
2021-03-11T17:57:26.000Z
Week 1 - Not so-simple Hello World/Hello World.py
Jasleenk47/BeginnerRoom-2020
32903f6917a236fe685106c148b8531c62210f1f
[ "Unlicense" ]
43
2021-01-14T20:40:47.000Z
2021-03-11T02:29:30.000Z
x, z = "hello", " world" print (x+z)
8.6
25
0.44186
7
43
2.714286
0.714286
0.210526
0
0
0
0
0
0
0
0
0
0
0.325581
43
5
26
8.6
0.655172
0
0
0
0
0
0.275
0
0
0
0
0
0
1
0
true
0
0
0
0
0.5
1
1
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
6
bfa84f15ea7b2cd02ef2843940f7053c4840460c
34
py
Python
stog/__init__.py
sfillwo/stog
b02e2dbe8989078ccdc3df611d8b08b63d28fcae
[ "MIT" ]
172
2019-11-19T05:52:36.000Z
2022-03-26T04:58:24.000Z
stog/__init__.py
sfillwo/stog
b02e2dbe8989078ccdc3df611d8b08b63d28fcae
[ "MIT" ]
22
2019-07-13T09:11:57.000Z
2021-11-17T05:30:36.000Z
stog/__init__.py
sfillwo/stog
b02e2dbe8989078ccdc3df611d8b08b63d28fcae
[ "MIT" ]
39
2019-06-26T11:37:51.000Z
2022-03-07T13:30:26.000Z
from .utils import exception_hook
17
33
0.852941
5
34
5.6
1
0
0
0
0
0
0
0
0
0
0
0
0.117647
34
1
34
34
0.933333
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
bfaf8e686f8a410914d29d4310a959a1a9fecc96
197
py
Python
pyperf/__init__.py
kevinconway/PyPerf
5aaf9943bb6d979e2f42229ed629816bc3ca1fb4
[ "Apache-2.0" ]
null
null
null
pyperf/__init__.py
kevinconway/PyPerf
5aaf9943bb6d979e2f42229ed629816bc3ca1fb4
[ "Apache-2.0" ]
2
2015-07-12T19:55:25.000Z
2016-01-30T14:32:11.000Z
pyperf/__init__.py
kevinconway/PyPerf
5aaf9943bb6d979e2f42229ed629816bc3ca1fb4
[ "Apache-2.0" ]
null
null
null
"""A service for profiling Python snippets.""" from __future__ import division from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals
28.142857
46
0.847716
25
197
5.92
0.6
0.27027
0.432432
0
0
0
0
0
0
0
0
0
0.116751
197
6
47
32.833333
0.850575
0.203046
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0.25
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
6
44b27f8657934a1fa977b1160949ed04c0306e76
43
py
Python
utils/__init__.py
lixiaoyu0575/physionet_challenge2020_pytorch
39b5aeeead440eaa88d6fdaf4a8a70c15373e062
[ "MIT" ]
1
2021-05-24T08:09:30.000Z
2021-05-24T08:09:30.000Z
utils/__init__.py
lixiaoyu0575/physionet_challenge2020_pytorch
39b5aeeead440eaa88d6fdaf4a8a70c15373e062
[ "MIT" ]
null
null
null
utils/__init__.py
lixiaoyu0575/physionet_challenge2020_pytorch
39b5aeeead440eaa88d6fdaf4a8a70c15373e062
[ "MIT" ]
null
null
null
from .util import * from .dataset import *
14.333333
22
0.72093
6
43
5.166667
0.666667
0
0
0
0
0
0
0
0
0
0
0
0.186047
43
2
23
21.5
0.885714
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
44d0f8f797a1eec94e619dc614aed6bdf2ebda29
137
py
Python
asaplib/fit/__init__.py
BingqingCheng/ASAP
a92dd34eaa092dcbe46163e000ebd2ccee22f8ae
[ "MIT" ]
74
2020-01-09T10:38:39.000Z
2022-03-04T15:09:05.000Z
asaplib/fit/__init__.py
FelixWodaczek/ASAP
d34a064cd7e409ad8b5ae0dec4f1c0a621717773
[ "MIT" ]
31
2020-01-30T13:15:42.000Z
2022-03-03T05:42:51.000Z
asaplib/fit/__init__.py
FelixWodaczek/ASAP
d34a064cd7e409ad8b5ae0dec4f1c0a621717773
[ "MIT" ]
14
2020-02-23T15:03:31.000Z
2022-03-04T15:04:04.000Z
from .getscore import LC_SCOREBOARD from .krr import * from .ridgeregression import * from .sparse_krr_wrapper import SPARSE_KRR_Wrapper
27.4
50
0.839416
19
137
5.789474
0.473684
0.181818
0.290909
0
0
0
0
0
0
0
0
0
0.116788
137
4
51
34.25
0.909091
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
7859febf602e8b40276d4da781e70cb450ad1e16
86
py
Python
airshare/__init__.py
kamodulin/airshare
f10ba0c185c2b1cf02e5b43dabe2fc0eab341b80
[ "MIT" ]
null
null
null
airshare/__init__.py
kamodulin/airshare
f10ba0c185c2b1cf02e5b43dabe2fc0eab341b80
[ "MIT" ]
null
null
null
airshare/__init__.py
kamodulin/airshare
f10ba0c185c2b1cf02e5b43dabe2fc0eab341b80
[ "MIT" ]
null
null
null
from airshare.airshare import Session from airshare.networking import Node, Connection
43
48
0.872093
11
86
6.818182
0.636364
0.32
0
0
0
0
0
0
0
0
0
0
0.093023
86
2
48
43
0.961538
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
78a56202184cf02bf9f41c7cb132b9ce6fbf8d51
7,319
py
Python
vt_inquirer.py
ben-jiles/VT-Inquirer
6629be54bb863b7c92903f03468cb42aa6cc2047
[ "MIT" ]
null
null
null
vt_inquirer.py
ben-jiles/VT-Inquirer
6629be54bb863b7c92903f03468cb42aa6cc2047
[ "MIT" ]
null
null
null
vt_inquirer.py
ben-jiles/VT-Inquirer
6629be54bb863b7c92903f03468cb42aa6cc2047
[ "MIT" ]
null
null
null
#import import getpass import sys import json import subprocess import os import requests #welcome print("Welcome, "+getpass.getuser()+"." + "\n") #key management userkey = raw_input("Please insert VirusTotal API token: ") #main menu def main(): #run main menu print_menu() def print_menu(): print(30 * "...
39.777174
163
0.614701
924
7,319
4.590909
0.13961
0.050919
0.055163
0.067893
0.805988
0.791136
0.759547
0.724658
0.707685
0.692126
0
0.009212
0.258369
7,319
183
164
39.994536
0.772292
0.006695
0
0.553333
0
0
0.330764
0
0
0
0
0
0
1
0.033333
false
0.013333
0.04
0
0.073333
0.133333
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
78a900e8e6c934371206c6c28c4a16468872670f
114
py
Python
test_data/examples/class_def_in_multi_files/level_one/intermediate_defs.py
mosckital/python-mro-language-server
de5b7dd8d94ab2c94543c55a7c5e5691e664b4a4
[ "MIT" ]
null
null
null
test_data/examples/class_def_in_multi_files/level_one/intermediate_defs.py
mosckital/python-mro-language-server
de5b7dd8d94ab2c94543c55a7c5e5691e664b4a4
[ "MIT" ]
7
2020-09-18T22:55:50.000Z
2020-10-07T22:50:40.000Z
tests/examples/class_def_in_multi_files/level_one/intermediate_defs.py
mosckital/vscode_python_mro
7a61a4a4dc1e4bc73fcdc9d5242a5fee500d6b1d
[ "MIT" ]
null
null
null
from ..base_def import O class A(O): pass class B(O): pass class C(O): pass class D(O): pass class E(O): pass
10.363636
24
0.649123
25
114
2.92
0.48
0.342466
0.547945
0
0
0
0
0
0
0
0
0
0.201754
114
11
25
10.363636
0.802198
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.833333
0.166667
0
1
0
1
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
0
0
1
0
0
6
151f14706b46c3f022c8d98a38c641feecb6e6f9
350
py
Python
Prediction methods/MPS/ranker_and_evaluator/Ranker.py
spxuw/PPI-Prediction-Project
e947b134eafd2e4fb43dba5e4bdfd4d582534ec9
[ "MIT" ]
null
null
null
Prediction methods/MPS/ranker_and_evaluator/Ranker.py
spxuw/PPI-Prediction-Project
e947b134eafd2e4fb43dba5e4bdfd4d582534ec9
[ "MIT" ]
null
null
null
Prediction methods/MPS/ranker_and_evaluator/Ranker.py
spxuw/PPI-Prediction-Project
e947b134eafd2e4fb43dba5e4bdfd4d582534ec9
[ "MIT" ]
null
null
null
class Ranker(): def __init__(self, ranker_name, file_name_of_all_node_id_couples_to_rank_represented_as_vectors): self.name = ranker_name self.file_name_of_all_node_id_couples_to_rank_represented_as_vectors = file_name_of_all_node_id_couples_to_rank_represented_as_vectors return def ra...
35
142
0.788571
54
350
4.388889
0.351852
0.101266
0.126582
0.164557
0.658228
0.658228
0.658228
0.658228
0.658228
0.658228
0
0
0.168571
350
9
143
38.888889
0.814433
0
0
0
0
0
0
0
0
0
0
0
0
1
0.285714
false
0
0
0.142857
0.714286
0
0
0
0
null
0
0
1
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6
152905ce1a7f9a9e1644d0ddaeeab64f39875578
11,675
py
Python
src/hyperparameter_optimization/tests/test_hyperopt.py
fleur101/predict-python
d40c876d919232bbb77904e050b182c875bc36fa
[ "MIT" ]
12
2018-06-27T08:09:18.000Z
2021-10-10T22:19:04.000Z
src/hyperparameter_optimization/tests/test_hyperopt.py
fleur101/predict-python
d40c876d919232bbb77904e050b182c875bc36fa
[ "MIT" ]
17
2018-06-12T17:36:11.000Z
2020-11-16T21:23:22.000Z
src/hyperparameter_optimization/tests/test_hyperopt.py
fleur101/predict-python
d40c876d919232bbb77904e050b182c875bc36fa
[ "MIT" ]
16
2018-08-02T14:40:17.000Z
2021-11-12T12:28:46.000Z
""" hyperopt tests """ from django.test import TestCase from hyperopt import Trials, Ctrl, STATUS_OK from pandas import DataFrame from src.hyperparameter_optimization import hyperopt_wrapper from src.hyperparameter_optimization.hyperopt_spaces import _get_space from src.hyperparameter_optimization.hyperopt_wrapper im...
47.267206
129
0.652677
1,211
11,675
5.996697
0.111478
0.059901
0.005784
0.00661
0.815616
0.762187
0.762187
0.757643
0.750757
0.738089
0
0.015228
0.257559
11,675
246
130
47.45935
0.822566
0.023983
0
0.623656
0
0
0.016362
0
0
0
0
0
0.096774
1
0.112903
false
0
0.075269
0
0.236559
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
1588a21f72faf1474e5e22719c2d6f16788e2225
128
py
Python
opencart_api/opencart_api/doctype/opencart_discount/opencart_discount.py
IP-CAM/erpnext-opencart-api
ecf5c400fa50229e7f0de83f175bb0f4c59ac925
[ "MIT" ]
null
null
null
opencart_api/opencart_api/doctype/opencart_discount/opencart_discount.py
IP-CAM/erpnext-opencart-api
ecf5c400fa50229e7f0de83f175bb0f4c59ac925
[ "MIT" ]
null
null
null
opencart_api/opencart_api/doctype/opencart_discount/opencart_discount.py
IP-CAM/erpnext-opencart-api
ecf5c400fa50229e7f0de83f175bb0f4c59ac925
[ "MIT" ]
1
2020-11-03T10:38:40.000Z
2020-11-03T10:38:40.000Z
from __future__ import unicode_literals from frappe.model.document import Document class OpencartDiscount(Document): pass
18.285714
42
0.828125
15
128
6.733333
0.733333
0
0
0
0
0
0
0
0
0
0
0
0.132813
128
6
43
21.333333
0.90991
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.25
0.5
0
0.75
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
6
01e05551b04b4df2994cebe4af65ad232be1234d
1,923
py
Python
tests/test_ops/test_diff_iou_rotated.py
imabackstabber/mmcv
b272c09b463f00fd7fdd455f7bd4a055f9995521
[ "Apache-2.0" ]
null
null
null
tests/test_ops/test_diff_iou_rotated.py
imabackstabber/mmcv
b272c09b463f00fd7fdd455f7bd4a055f9995521
[ "Apache-2.0" ]
null
null
null
tests/test_ops/test_diff_iou_rotated.py
imabackstabber/mmcv
b272c09b463f00fd7fdd455f7bd4a055f9995521
[ "Apache-2.0" ]
null
null
null
# Copyright (c) OpenMMLab. All rights reserved. import numpy as np import pytest import torch from mmcv.ops import diff_iou_rotated_2d, diff_iou_rotated_3d @pytest.mark.skipif( not torch.cuda.is_available(), reason='requires CUDA support') def test_diff_iou_rotated_2d(): np_boxes1 = np.asarray([[[0.5, 0.5, 1...
38.46
76
0.50442
330
1,923
2.812121
0.157576
0.071121
0.054957
0.034483
0.817888
0.769397
0.765086
0.764009
0.755388
0.738147
0
0.13757
0.25533
1,923
49
77
39.244898
0.510475
0.023401
0
0.410256
0
0
0.022388
0
0
0
0
0
0.051282
1
0.051282
false
0
0.102564
0
0.153846
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
bf3cef0a0f1ff0f14432510888089af4aae10998
86
py
Python
label_set_loss_functions/convertor/__init__.py
LucasFidon/label-set-loss-functions
dffa112b9789c83eaa6b05103b94e55e36738f7d
[ "BSD-3-Clause" ]
3
2021-09-28T10:17:36.000Z
2022-01-30T01:08:08.000Z
label_set_loss_functions/convertor/__init__.py
LucasFidon/label-set-loss-functions
dffa112b9789c83eaa6b05103b94e55e36738f7d
[ "BSD-3-Clause" ]
null
null
null
label_set_loss_functions/convertor/__init__.py
LucasFidon/label-set-loss-functions
dffa112b9789c83eaa6b05103b94e55e36738f7d
[ "BSD-3-Clause" ]
null
null
null
from .marginalization import marginalize, softmax_marginalize, log_softmax_marginalize
86
86
0.906977
9
86
8.333333
0.666667
0.48
0
0
0
0
0
0
0
0
0
0
0.05814
86
1
86
86
0.925926
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
17116928357fb982132c4334f99ad8a4accc73be
3,310
py
Python
tests/test_apply_actions.py
Enacero/yaml-patch
7270d431447c82d665622cc316f0941214e7eee2
[ "MIT" ]
2
2020-04-21T08:49:39.000Z
2020-12-21T07:28:43.000Z
tests/test_apply_actions.py
Enacero/json_modify
7270d431447c82d665622cc316f0941214e7eee2
[ "MIT" ]
null
null
null
tests/test_apply_actions.py
Enacero/json_modify
7270d431447c82d665622cc316f0941214e7eee2
[ "MIT" ]
null
null
null
import json import os import pytest import yaml from json_modify import apply_actions def test_apply_actions(mocker): mocker.patch("json_modify.validate_action") mocker.patch("json_modify.get_section") mocker.patch("json_modify.apply_action") mocker.patch("json_modify.get_reader") assert apply_a...
32.772277
81
0.734441
460
3,310
4.947826
0.130435
0.13181
0.191125
0.267575
0.857645
0.787786
0.76362
0.757469
0.582601
0.582601
0
0.001418
0.147734
3,310
100
82
33.1
0.805388
0
0
0.5
0
0
0.267976
0.209668
0
0
0
0
0.148649
1
0.094595
false
0
0.067568
0
0.162162
0
0
0
0
null
0
1
1
1
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
0
0
0
0
0
0
0
0
6
bdd39af0f5543e836f361ca5469c16d20e33739c
28
py
Python
interivew/bot/__init__.py
interview-ru/bot
e21efe4fc207b7ee0201beca4b141ab098a68846
[ "MIT" ]
null
null
null
interivew/bot/__init__.py
interview-ru/bot
e21efe4fc207b7ee0201beca4b141ab098a68846
[ "MIT" ]
1
2021-06-02T02:15:59.000Z
2021-06-02T02:15:59.000Z
interivew/bot/__init__.py
interview-ru/bot
e21efe4fc207b7ee0201beca4b141ab098a68846
[ "MIT" ]
null
null
null
from interivew.bot import *
14
27
0.785714
4
28
5.5
1
0
0
0
0
0
0
0
0
0
0
0
0.142857
28
1
28
28
0.916667
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
bde6a73b2ddefad00313dd373c8eead0196c4882
4,431
py
Python
idl2py/wcs/gsss_stdast.py
RapidLzj/idl2py
193051cd8d01db0d125b8975713b885ad521a992
[ "MIT" ]
null
null
null
idl2py/wcs/gsss_stdast.py
RapidLzj/idl2py
193051cd8d01db0d125b8975713b885ad521a992
[ "MIT" ]
null
null
null
idl2py/wcs/gsss_stdast.py
RapidLzj/idl2py
193051cd8d01db0d125b8975713b885ad521a992
[ "MIT" ]
null
null
null
""" By Dr Jie Zheng -Q, NAOC v1 2019-04-27 """ import numpy as np from..util import * def gsss_stdast(): pass #pro GSSS_StdAst,h,xpts,ypts #;+ #; NAME: #; GSSS_STDAST #; #; PURPOSE: #; Insert the closest tangent projection astrometry into an GSSS Image #; #; DESCRIPTION: #; ...
36.925
82
0.605958
595
4,431
4.480672
0.410084
0.037134
0.050638
0.034884
0.047262
0
0
0
0
0
0
0.035917
0.283683
4,431
119
83
37.235294
0.804033
0.886933
0
0
0
0
0
0
0
0
0
0
0
1
0.25
true
0.25
0.5
0
0.75
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
1
1
1
1
0
1
0
0
6
da16abc8a5a630824511540ee39be52c3f6e4b9d
133
py
Python
face/__init__.py
shaxov/spy-eye
1041d4b0561b4c079af15f074a29c76c2ff7a2b8
[ "MIT" ]
null
null
null
face/__init__.py
shaxov/spy-eye
1041d4b0561b4c079af15f074a29c76c2ff7a2b8
[ "MIT" ]
null
null
null
face/__init__.py
shaxov/spy-eye
1041d4b0561b4c079af15f074a29c76c2ff7a2b8
[ "MIT" ]
null
null
null
from . import detectors, encoders from . import trackers from . import buffer from . import validators from . import recognizers
13.3
33
0.766917
16
133
6.375
0.5
0.490196
0
0
0
0
0
0
0
0
0
0
0.18797
133
9
34
14.777778
0.944444
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
da20594b0713af66b6cf7894a88e2fe38e531a50
110
py
Python
python/14_xml/2_xml2-findthemaximumdepth.py
jaimiles23/hacker_rank
0580eac82e5d0989afabb5c2e66faf09713f891b
[ "Apache-2.0" ]
null
null
null
python/14_xml/2_xml2-findthemaximumdepth.py
jaimiles23/hacker_rank
0580eac82e5d0989afabb5c2e66faf09713f891b
[ "Apache-2.0" ]
null
null
null
python/14_xml/2_xml2-findthemaximumdepth.py
jaimiles23/hacker_rank
0580eac82e5d0989afabb5c2e66faf09713f891b
[ "Apache-2.0" ]
3
2021-09-22T11:06:58.000Z
2022-01-25T09:29:24.000Z
Solution to [XML2 - Find the Maximum Depth](https://www.hackerrank.com/challenges/xml2-find-the-maximum-depth)
110
110
0.790909
17
110
5.117647
0.705882
0.183908
0.252874
0.413793
0.528736
0
0
0
0
0
0
0.019417
0.063636
110
1
110
110
0.825243
0
0
0
0
0
0
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
1
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
6
da3b5305f86d863e32d162d7670c8e150e0ed392
2,173
py
Python
core/migrations/0011_auto_20200413_0023.py
AashishDhakal/Portfolio
87a412dfe93285bc06ed6c90877287fdc6afb4b8
[ "BSD-3-Clause" ]
null
null
null
core/migrations/0011_auto_20200413_0023.py
AashishDhakal/Portfolio
87a412dfe93285bc06ed6c90877287fdc6afb4b8
[ "BSD-3-Clause" ]
5
2021-03-19T02:00:28.000Z
2022-01-13T02:36:12.000Z
core/migrations/0011_auto_20200413_0023.py
AashishDhakal/Portfolio
87a412dfe93285bc06ed6c90877287fdc6afb4b8
[ "BSD-3-Clause" ]
1
2020-09-20T09:48:41.000Z
2020-09-20T09:48:41.000Z
# Generated by Django 3.0.5 on 2020-04-12 18:38 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0010_portfolio'), ] operations = [ migrations.AddField( model_name='portfolio', name='date', fie...
31.492754
82
0.555913
207
2,173
5.719807
0.26087
0.083615
0.16723
0.204392
0.798986
0.784628
0.717061
0.712838
0.677365
0.677365
0
0.02171
0.321675
2,173
68
83
31.955882
0.781547
0.020709
0
0.677419
1
0
0.108184
0
0
0
0
0
0
1
0
false
0
0.016129
0
0.064516
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
da7a7c9c508f2250f79eabb26db9a478c637cfd7
54
py
Python
server/models/devices/oled.py
starpogi/neptune
fbc996e403b95c9d9651e05a009f29cceb7df836
[ "BSD-2-Clause" ]
null
null
null
server/models/devices/oled.py
starpogi/neptune
fbc996e403b95c9d9651e05a009f29cceb7df836
[ "BSD-2-Clause" ]
null
null
null
server/models/devices/oled.py
starpogi/neptune
fbc996e403b95c9d9651e05a009f29cceb7df836
[ "BSD-2-Clause" ]
null
null
null
from . import Display class OLED(Display): pass
9
21
0.685185
7
54
5.285714
0.857143
0
0
0
0
0
0
0
0
0
0
0
0.240741
54
5
22
10.8
0.902439
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
6
da8c455d068b6cfa487abf263f9d1c82a0cc97c9
2,645
py
Python
run.py
berkbilir/point-cloud-classification
4188b317acc8efccb694831b26a3a8564dee5530
[ "MIT" ]
null
null
null
run.py
berkbilir/point-cloud-classification
4188b317acc8efccb694831b26a3a8564dee5530
[ "MIT" ]
null
null
null
run.py
berkbilir/point-cloud-classification
4188b317acc8efccb694831b26a3a8564dee5530
[ "MIT" ]
null
null
null
from loader import ChallengeDataset from torch.utils.data import DataLoader from models import * from trainer import trainer import os NUM_CLASSES=8 def task1(): rep_type='point' # 'voxel','point' or 'spectral' path_model='model_objs/%s_model.pt'%rep_type dataset_train=ChallengeDataset('dataset','train',...
38.333333
102
0.730057
382
2,645
4.787958
0.151832
0.057408
0.042646
0.059049
0.857846
0.857846
0.857846
0.857846
0.857846
0.857846
0
0.016036
0.151229
2,645
68
103
38.897059
0.798664
0.11569
0
0.660377
0
0
0.128492
0.028363
0
0
0
0
0
1
0.056604
false
0
0.09434
0
0.150943
0.113208
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
e5188358b8f04a40d7ef5ff6a37c8bca35f5f5d9
42
py
Python
Battleship/__main__.py
siddarthreddygsr/BattleShip-BattleGround
4fac6844b56705a27da6f12673b51f5ca6f3a575
[ "MIT" ]
1
2022-03-28T19:58:22.000Z
2022-03-28T19:58:22.000Z
Battleship/__main__.py
siddarthreddygsr/BattleShip-BattleGround
4fac6844b56705a27da6f12673b51f5ca6f3a575
[ "MIT" ]
3
2022-01-17T13:07:35.000Z
2022-03-02T22:58:55.000Z
Battleship/__main__.py
siddarthreddygsr/BattleShip-BattleGround
4fac6844b56705a27da6f12673b51f5ca6f3a575
[ "MIT" ]
28
2022-01-17T07:32:18.000Z
2022-03-29T14:12:51.000Z
from Battleship.BattleGround import main
14
40
0.857143
5
42
7.2
1
0
0
0
0
0
0
0
0
0
0
0
0.119048
42
2
41
21
0.972973
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
e51b7f44bb015b13e780160a915b41f66ea4321e
5,766
py
Python
ledger/core/tests/test_reusable_transactions.py
berrondo/ledger
814c151845901f125521b6d0a19479b5e8798440
[ "MIT" ]
null
null
null
ledger/core/tests/test_reusable_transactions.py
berrondo/ledger
814c151845901f125521b6d0a19479b5e8798440
[ "MIT" ]
null
null
null
ledger/core/tests/test_reusable_transactions.py
berrondo/ledger
814c151845901f125521b6d0a19479b5e8798440
[ "MIT" ]
1
2021-02-11T00:08:48.000Z
2021-02-11T00:08:48.000Z
from decimal import Decimal from ledger.core.models import ( Transaction as T, Ledger, Schema, ) from ..calculations import Percentual from .utils import conta def test_transacoes_pre_definidas(): # accounts: cash_in = conta('cash_in') cash_out = conta('cash_out') conta_desconto = conta('...
28.83
87
0.676899
628
5,766
6.035032
0.116242
0.085488
0.02533
0.01847
0.861741
0.830607
0.830607
0.830607
0.830607
0.808179
0
0.035196
0.211585
5,766
199
88
28.974874
0.798504
0.153659
0
0.679389
0
0
0.135642
0.029685
0
0
0
0
0.282443
1
0.030534
false
0
0.030534
0
0.061069
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
e539abd9be522a79b88620e00b3afcb92597d521
42
py
Python
2018/08/08_Ex_Sol/mazesolver/setup.py
lfrommelt/monty
e8cabf0e4ac01ab3d97eecee5e699139076d6544
[ "MIT" ]
null
null
null
2018/08/08_Ex_Sol/mazesolver/setup.py
lfrommelt/monty
e8cabf0e4ac01ab3d97eecee5e699139076d6544
[ "MIT" ]
null
null
null
2018/08/08_Ex_Sol/mazesolver/setup.py
lfrommelt/monty
e8cabf0e4ac01ab3d97eecee5e699139076d6544
[ "MIT" ]
1
2020-03-20T14:26:28.000Z
2020-03-20T14:26:28.000Z
from mazesolver import __about__, __init__
42
42
0.880952
5
42
5.8
1
0
0
0
0
0
0
0
0
0
0
0
0.095238
42
1
42
42
0.763158
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
e56283125f7588cf90e00a752b0c0e6e80931e3f
9,732
py
Python
categorical_encoding/tests/test_encoding.py
isabella232/categorical_encoding
090e8d207aa14dd278e03209b4663cf9af0cad45
[ "BSD-3-Clause" ]
36
2019-08-14T22:01:24.000Z
2021-04-09T00:56:37.000Z
categorical_encoding/tests/test_encoding.py
pplonski/categorical_encoding
a8ec786863cd69dabd03af440299075192fdc9b9
[ "BSD-3-Clause" ]
19
2019-08-22T19:10:10.000Z
2021-03-03T23:12:01.000Z
categorical_encoding/tests/test_encoding.py
pplonski/categorical_encoding
a8ec786863cd69dabd03af440299075192fdc9b9
[ "BSD-3-Clause" ]
10
2019-09-23T19:34:42.000Z
2021-02-03T11:16:32.000Z
import featuretools as ft import numpy as np import pandas as pd from .testing_utils import create_feature_matrix from categorical_encoding.encoders import Encoder from categorical_encoding.encoders.encoder_methods import OneHotEncoder from categorical_encoding.primitives import ( BinaryEnc, HashingEnc, L...
42.12987
91
0.651048
1,306
9,732
4.648545
0.093415
0.100642
0.013342
0.012519
0.830506
0.823258
0.807281
0.798056
0.787185
0.721298
0
0.064549
0.200884
9,732
230
92
42.313043
0.716086
0.004829
0
0.624309
0
0
0.07477
0
0
0
0
0
0.154696
1
0.038674
false
0
0.038674
0
0.077348
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
e5e7eb727591ba381b59761c32f89ba6af237d30
165
py
Python
confu/tools/__init__.py
ararslan/confu
55da0b09f125187e617c6857a62c22a0bbdeb619
[ "MIT" ]
13
2017-02-05T07:03:39.000Z
2021-08-09T11:21:48.000Z
confu/tools/__init__.py
ararslan/confu
55da0b09f125187e617c6857a62c22a0bbdeb619
[ "MIT" ]
4
2017-10-30T09:41:05.000Z
2020-09-26T22:56:55.000Z
confu/tools/__init__.py
ararslan/confu
55da0b09f125187e617c6857a62c22a0bbdeb619
[ "MIT" ]
14
2017-02-28T14:06:34.000Z
2020-11-16T18:16:29.000Z
from __future__ import absolute_import from confu.tools.base import Tool from confu.tools.collection import ToolCollection from confu.tools.peachpy import PeachPy
23.571429
49
0.854545
23
165
5.913043
0.478261
0.198529
0.308824
0
0
0
0
0
0
0
0
0
0.109091
165
6
50
27.5
0.92517
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
f925d236caed56fc94a965411928bf312ffdccc1
21,726
py
Python
tests/test_topicmod_evaluate.py
samir-joshi/tmtoolkit
41f5cbddad539107016680d132ca1ee9ebe49b5c
[ "Apache-2.0" ]
167
2017-11-11T11:49:32.000Z
2022-03-15T11:45:11.000Z
tests/test_topicmod_evaluate.py
samir-joshi/tmtoolkit
41f5cbddad539107016680d132ca1ee9ebe49b5c
[ "Apache-2.0" ]
23
2017-11-27T22:44:09.000Z
2022-02-23T03:31:30.000Z
tests/test_topicmod_evaluate.py
shalevy1/tmtoolkit
42fdd388e606d6d1c45d80d2364dfa42b8408111
[ "Apache-2.0" ]
30
2018-03-27T13:00:41.000Z
2022-03-28T12:15:33.000Z
import random import numpy as np import pytest from hypothesis import given, strategies as st try: import gensim import lda from sklearn.decomposition import LatentDirichletAllocation from tmtoolkit.topicmod import evaluate, tm_lda, tm_sklearn, tm_gensim except ImportError: pytest.skip('not all t...
42.683694
123
0.655758
2,883
21,726
4.666667
0.091571
0.048313
0.044225
0.031069
0.79664
0.7762
0.746544
0.736361
0.714955
0.713319
0
0.041276
0.233913
21,726
508
124
42.767717
0.767063
0.04299
0
0.592405
0
0
0.071036
0.018169
0
0
0
0.001969
0.382278
1
0.027848
false
0.075949
0.027848
0
0.055696
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
1
0
0
0
0
0
6
f92b4057c8525402e7e04c1e84a3d055a4024aed
31
py
Python
gh_avatars/__init__.py
stevenhuyn/gh-avatars
d246db0996f885a9cb92293437bbce98bda66170
[ "MIT" ]
2
2022-01-30T20:05:51.000Z
2022-02-18T11:40:39.000Z
gh_avatars/__init__.py
mdpanf/gh_avatars
d9f6e84c91be55296d3da2262caad6b8757de702
[ "MIT" ]
1
2022-01-30T20:21:51.000Z
2022-01-30T20:21:51.000Z
gh_avatars/__init__.py
mdpanf/gh_avatars
d9f6e84c91be55296d3da2262caad6b8757de702
[ "MIT" ]
1
2022-01-30T19:26:50.000Z
2022-01-30T19:26:50.000Z
from .generator import Avatar
15.5
30
0.806452
4
31
6.25
1
0
0
0
0
0
0
0
0
0
0
0
0.16129
31
1
31
31
0.961538
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
0088efc9e2540310f09a987f042cb1ded50eaf45
952
py
Python
src/apps/kms/backend/dtos/crypto_key/CreateCryptoKeyCommandDto.py
parada3desu/foxy-key-broker
fc95de9e9bfd61c506a9a18aa64c5c9cbeac8a9c
[ "Apache-2.0" ]
null
null
null
src/apps/kms/backend/dtos/crypto_key/CreateCryptoKeyCommandDto.py
parada3desu/foxy-key-broker
fc95de9e9bfd61c506a9a18aa64c5c9cbeac8a9c
[ "Apache-2.0" ]
null
null
null
src/apps/kms/backend/dtos/crypto_key/CreateCryptoKeyCommandDto.py
parada3desu/foxy-key-broker
fc95de9e9bfd61c506a9a18aa64c5c9cbeac8a9c
[ "Apache-2.0" ]
null
null
null
from typing import Any from pydantic import BaseModel, Field class CreateCryptoKeyCommandDto(BaseModel): id: str = Field(example='c5285ee9-1599-46c4-bb9e-1876ef64c72b') client_id: str = Field(example='c2285aa9-1599-36c3-bb9e-1876ef64372b', alias='client-id') type: str = Field(example='rsa') payload: ...
73.230769
562
0.858193
65
952
12.553846
0.646154
0.073529
0.073529
0.041667
0
0
0
0
0
0
0
0.144144
0.067227
952
12
563
79.333333
0.774775
0
0
0
0
0.111111
0.67542
0.646008
0
1
0
0
0
1
0
true
0
0.222222
0
0.888889
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
1
0
0
0
0
0
1
0
0
0
1
0
0
6
00a8e242ada294f1c6d6657cf38788fc15f2a64c
44
py
Python
sa2django/__init__.py
mariushelf/sa2django
936b0a70b0ccc8faf3ca26ff241b0b6dac13f204
[ "MIT" ]
null
null
null
sa2django/__init__.py
mariushelf/sa2django
936b0a70b0ccc8faf3ca26ff241b0b6dac13f204
[ "MIT" ]
null
null
null
sa2django/__init__.py
mariushelf/sa2django
936b0a70b0ccc8faf3ca26ff241b0b6dac13f204
[ "MIT" ]
null
null
null
from .core import SA2DModel, register_table
22
43
0.840909
6
44
6
1
0
0
0
0
0
0
0
0
0
0
0.025641
0.113636
44
1
44
44
0.897436
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
979f37ef0c19d9981e9dd40504281b0f2c36c317
109
py
Python
DCNN-Pytorch/deepracing_models/data_loading/file_datasets/__init__.py
linklab-uva/deepracing
fc25c47658277df029e7399d295d97a75fe85216
[ "Apache-2.0" ]
11
2020-06-29T15:21:37.000Z
2021-04-12T00:42:26.000Z
DCNN-Pytorch/deepracing_models/data_loading/file_datasets/__init__.py
linklab-uva/deepracing
fc25c47658277df029e7399d295d97a75fe85216
[ "Apache-2.0" ]
null
null
null
DCNN-Pytorch/deepracing_models/data_loading/file_datasets/__init__.py
linklab-uva/deepracing
fc25c47658277df029e7399d295d97a75fe85216
[ "Apache-2.0" ]
4
2019-01-23T23:36:57.000Z
2021-07-02T00:18:37.000Z
from .LocalRacelineDataset import LocalRacelineDataset from .FutureEgoPoseDataset import FutureEgoPoseDataset
54.5
54
0.917431
8
109
12.5
0.5
0
0
0
0
0
0
0
0
0
0
0
0.06422
109
2
55
54.5
0.980392
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
97b0d4fd4fe17c2d2e4ec0209a5ce0bbf53e936d
92
py
Python
test/test_sheet.py
TryExceptElse/pysheetdata
87fd6063c7e24b18ae8306c4095091388c59fe98
[ "MIT" ]
null
null
null
test/test_sheet.py
TryExceptElse/pysheetdata
87fd6063c7e24b18ae8306c4095091388c59fe98
[ "MIT" ]
null
null
null
test/test_sheet.py
TryExceptElse/pysheetdata
87fd6063c7e24b18ae8306c4095091388c59fe98
[ "MIT" ]
null
null
null
from unittest import TestCase from main import Sheet class TestSheet(TestCase): pass
11.5
29
0.771739
12
92
5.916667
0.75
0
0
0
0
0
0
0
0
0
0
0
0.195652
92
7
30
13.142857
0.959459
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.25
0.5
0
0.75
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
6
97b3bc8a618f2e6668dbd26a2e426167372cd696
44
py
Python
src/utils/__init__.py
mert-kurttutan/hack_assembler_python
c2f7d2decb8578ba0f978065bf42825190bab88b
[ "MIT" ]
null
null
null
src/utils/__init__.py
mert-kurttutan/hack_assembler_python
c2f7d2decb8578ba0f978065bf42825190bab88b
[ "MIT" ]
null
null
null
src/utils/__init__.py
mert-kurttutan/hack_assembler_python
c2f7d2decb8578ba0f978065bf42825190bab88b
[ "MIT" ]
null
null
null
from .utils import to_command, binary_format
44
44
0.863636
7
44
5.142857
1
0
0
0
0
0
0
0
0
0
0
0
0.090909
44
1
44
44
0.9
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
8afb7e21f3aef9606cd2806393c7bef8b9e116bc
20,552
py
Python
tests/quara/protocol/qtomography/standard/test_standard_povmt.py
tknrsgym/quara
8f3337af83cdd02bb85632bb1e297902b1fff8fb
[ "Apache-2.0" ]
3
2021-05-19T11:44:30.000Z
2022-03-30T07:13:49.000Z
tests/quara/protocol/qtomography/standard/test_standard_povmt.py
tknrsgym/quara
8f3337af83cdd02bb85632bb1e297902b1fff8fb
[ "Apache-2.0" ]
2
2021-06-02T01:24:59.000Z
2021-06-02T12:20:31.000Z
tests/quara/protocol/qtomography/standard/test_standard_povmt.py
tknrsgym/quara
8f3337af83cdd02bb85632bb1e297902b1fff8fb
[ "Apache-2.0" ]
1
2021-10-14T13:21:27.000Z
2021-10-14T13:21:27.000Z
import numpy as np import numpy.testing as npt import pytest from quara.objects.composite_system import CompositeSystem from quara.objects.elemental_system import ElementalSystem from quara.objects.matrix_basis import get_normalized_pauli_basis from quara.objects.state import ( get_x0_1q, get_y0_1q, get_z0...
34.139535
87
0.549922
2,893
20,552
3.619426
0.059454
0.046223
0.048133
0.054627
0.855792
0.828765
0.819597
0.773279
0.761341
0.753414
0
0.082375
0.318947
20,552
601
88
34.196339
0.665714
0.061551
0
0.584184
0
0
0.004178
0
0
0
0
0
0.114796
1
0.040816
false
0
0.02551
0
0.071429
0.005102
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
c119e3954f263f0cf41595fb50e4b5e000c7c98e
8,997
py
Python
reports/tests/refunds_tests.py
ProzorroUKR/reports
765a08dd95a8f2c461cba9306f1e1677620b4519
[ "Apache-2.0" ]
null
null
null
reports/tests/refunds_tests.py
ProzorroUKR/reports
765a08dd95a8f2c461cba9306f1e1677620b4519
[ "Apache-2.0" ]
null
null
null
reports/tests/refunds_tests.py
ProzorroUKR/reports
765a08dd95a8f2c461cba9306f1e1677620b4519
[ "Apache-2.0" ]
null
null
null
import unittest from reports.tests.base import BaseRefundsUtilityTest from copy import copy from reports.utilities.refunds import NEW_ALG_DATE, CHANGE_2019_DATE from reports.helpers import prepare_result_file_name import csv test_award_period = '2016-04-17T13:32:25.774673+02:00' class ReportRefundsUtilityTestCase(Ba...
36.425101
115
0.42981
1,029
8,997
3.689018
0.12828
0.073762
0.096417
0.111697
0.834299
0.81059
0.807429
0.807429
0.807429
0.7853
0
0.114504
0.373902
8,997
246
116
36.573171
0.559382
0
0
0.672811
0
0
0.157052
0.020785
0
0
0
0
0.0553
1
0.023041
false
0
0.02765
0.004608
0.064516
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
c12427f980a6e6e48e8a612a2f19dcb4977a9321
6,163
py
Python
tests/test_derivatives.py
eugenewickett/supply-chain-aberration-inference
d220a5032380364cbd994856898603f8ba2a2d6a
[ "MIT" ]
2
2021-06-01T16:09:30.000Z
2021-07-19T21:38:23.000Z
tests/test_derivatives.py
eugenewickett/supply-chain-aberration-inference
d220a5032380364cbd994856898603f8ba2a2d6a
[ "MIT" ]
1
2021-07-23T15:26:21.000Z
2021-07-23T15:26:21.000Z
tests/test_derivatives.py
eugenewickett/supply-chain-aberration-inference
d220a5032380364cbd994856898603f8ba2a2d6a
[ "MIT" ]
null
null
null
import unittest import logistigate.methods as methods import logistigate.utilities as util import numpy as np class UntrackedTestCase(unittest.TestCase): # Class for testing Untracked functions def setUp(self): # Generate a toy system via fixed random seed self.SCdict = util.generateRandDataDict(n...
55.522523
115
0.569528
723
6,163
4.807746
0.157676
0.189873
0.037975
0.051784
0.897008
0.864212
0.864212
0.864212
0.864212
0.864212
0
0.027078
0.304884
6,163
110
116
56.027273
0.784314
0.163719
0
0.682927
0
0
0.097837
0
0
0
0
0
0.04878
1
0.073171
false
0
0.097561
0
0.195122
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
c15c704d01d3ef8e8c65c861d053368483c9473e
2,234
py
Python
src/Themes.py
rjesquivias/Scrap-Magic
5429bb40333bcfe937c0ea667d66c469cf414f1c
[ "MIT" ]
1
2019-05-31T21:53:55.000Z
2019-05-31T21:53:55.000Z
src/Themes.py
rjesquivias/Scrap-Magic
5429bb40333bcfe937c0ea667d66c469cf414f1c
[ "MIT" ]
3
2019-05-26T22:40:50.000Z
2019-05-26T22:45:18.000Z
src/Themes.py
rjesquivias/Scrap-Magic
5429bb40333bcfe937c0ea667d66c469cf414f1c
[ "MIT" ]
null
null
null
import abc from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtCore import * abstractstaticmethod = abc.abstractmethod class Theme(object, metaclass=abc.ABCMeta): @abstractstaticmethod def toolbar_color_style(self): pass @abstractstaticmethod def toolbar_color(self): p...
21.480769
54
0.638765
245
2,234
5.677551
0.17551
0.172538
0.09202
0.156003
0.818835
0.750539
0.300503
0.300503
0.238677
0
0
0.074863
0.264548
2,234
104
55
21.480769
0.771759
0
0
0.6
0
0
0.107383
0
0
0
0
0
0
1
0.3
false
0.1
0.05
0.2
0.5875
0
0
0
0
null
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
1
1
0
0
6
c1db7f8308f5f47e3559c9de5745ef2725eaff14
3,348
py
Python
test/unit/test_bloxroute_cli.py
doubleukay/bxgateway
ac01fc9475c039cf4255576dd4ecd6bff6c48f69
[ "MIT" ]
21
2019-11-06T17:37:41.000Z
2022-03-28T07:18:33.000Z
test/unit/test_bloxroute_cli.py
doubleukay/bxgateway
ac01fc9475c039cf4255576dd4ecd6bff6c48f69
[ "MIT" ]
4
2019-11-06T22:08:00.000Z
2021-12-08T06:20:51.000Z
test/unit/test_bloxroute_cli.py
doubleukay/bxgateway
ac01fc9475c039cf4255576dd4ecd6bff6c48f69
[ "MIT" ]
10
2020-08-05T15:58:16.000Z
2022-02-07T23:51:10.000Z
import sys from argparse import ArgumentParser from bxcommon.test_utils.helpers import async_test from bxcommon.test_utils.abstract_test_case import AbstractTestCase from bloxroute_cli import main class BloxrouteCliTest(AbstractTestCase): @async_test async def test_cloud_api_good_invocation(self): ...
35.242105
67
0.605436
354
3,348
5.454802
0.220339
0.093216
0.093216
0.095805
0.817193
0.802693
0.72812
0.72812
0.72812
0.72812
0
0.009627
0.28644
3,348
94
68
35.617021
0.798661
0
0
0.693333
0
0
0.140084
0.02509
0
0
0
0
0.066667
1
0
false
0.013333
0.066667
0
0.08
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
c1dde65d37e020cbc64e2ff084fb319825460b9f
154
py
Python
gerapy/__init__.py
hantmac/Gerapy
41b1221dba2b89b89ca98f6bfbcc045cafdac469
[ "MIT" ]
1
2018-12-07T02:05:32.000Z
2018-12-07T02:05:32.000Z
gerapy/__init__.py
hantmac/Gerapy
41b1221dba2b89b89ca98f6bfbcc045cafdac469
[ "MIT" ]
1
2019-01-13T03:48:27.000Z
2019-01-13T03:48:27.000Z
gerapy/__init__.py
hantmac/Gerapy
41b1221dba2b89b89ca98f6bfbcc045cafdac469
[ "MIT" ]
null
null
null
from os.path import abspath, dirname version_file = dirname(abspath(__file__)) + '/VERSION' def version(): return open(version_file).read().strip()
22
54
0.727273
20
154
5.3
0.65
0.207547
0
0
0
0
0
0
0
0
0
0
0.12987
154
6
55
25.666667
0.791045
0
0
0
0
0
0.051948
0
0
0
0
0
0
1
0.25
false
0
0.25
0.25
0.75
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6
c1ffcec9740506604debd580283047f9bbdc37cf
4,952
py
Python
integration/dagster/tests/test_adapter_pipeline.py
denimalpaca/OpenLineage
0448d019b0559b22e96d52a8d5eecb16a9517767
[ "Apache-2.0" ]
1
2021-12-03T17:00:00.000Z
2021-12-03T17:00:00.000Z
integration/dagster/tests/test_adapter_pipeline.py
wjohnson/OpenLineage
3d9a2cd24de82270301169179d4630686b0e6f5d
[ "Apache-2.0" ]
null
null
null
integration/dagster/tests/test_adapter_pipeline.py
wjohnson/OpenLineage
3d9a2cd24de82270301169179d4630686b0e6f5d
[ "Apache-2.0" ]
null
null
null
# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under th...
31.541401
74
0.652666
574
4,952
5.313589
0.200348
0.02623
0.041967
0.062951
0.76459
0.76459
0.76459
0.76459
0.76459
0.76459
0
0.041598
0.262116
4,952
156
75
31.74359
0.793103
0.10521
0
0.780488
0
0
0.117674
0.108622
0
0
0
0
0.065041
1
0.03252
false
0
0.056911
0
0.089431
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
e70f62b76573e564f2d5b8434acea2e18bc3701a
223
py
Python
conftest.py
arichtman/pyadr
92a1a3495c92f50aca8966a5187fc96bff7ad3d1
[ "MIT" ]
5
2020-07-08T08:19:18.000Z
2022-02-26T23:29:12.000Z
conftest.py
arichtman/pyadr
92a1a3495c92f50aca8966a5187fc96bff7ad3d1
[ "MIT" ]
50
2020-04-05T22:40:41.000Z
2022-02-26T23:53:12.000Z
{{cookiecutter.project_slug}}/conftest.py
opinionated-digital-center/cookiecutter-pypackage
f5f74b1976835ecd8a7b0c46cb2198c95c88526f
[ "MIT" ]
1
2022-02-26T23:46:38.000Z
2022-02-26T23:46:38.000Z
# Emtpy conftest.py to make sure pytest finds the project's module # See https://stackoverflow.com/a/49033954/4374048 for quick explanation # and https://stackoverflow.com/a/34520971/4374048 for a more detailed explanation
55.75
82
0.802691
34
223
5.264706
0.764706
0.201117
0.234637
0.24581
0
0
0
0
0
0
0
0.151515
0.112108
223
3
83
74.333333
0.752525
0.96861
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
0
0
0
null
1
1
1
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
6
e7a3d8c4831495a26b84107e020f245aa3f5192d
119
py
Python
app/processor.py
DigitalAcademyGroupOfSeven/ResumeParsingService
f8739782d80195e0442c2f6f84bc965ec1ca18cc
[ "MIT" ]
null
null
null
app/processor.py
DigitalAcademyGroupOfSeven/ResumeParsingService
f8739782d80195e0442c2f6f84bc965ec1ca18cc
[ "MIT" ]
null
null
null
app/processor.py
DigitalAcademyGroupOfSeven/ResumeParsingService
f8739782d80195e0442c2f6f84bc965ec1ca18cc
[ "MIT" ]
1
2021-01-31T12:29:32.000Z
2021-01-31T12:29:32.000Z
from pyresparser import ResumeParser def process(filePath): return ResumeParser(filePath).get_extracted_data()
29.75
58
0.798319
13
119
7.153846
0.846154
0
0
0
0
0
0
0
0
0
0
0
0.134454
119
4
58
29.75
0.902913
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
1
0
0
6
e7bcd9e8cda724ba4eb94eecf7ef014767547242
43
py
Python
plugins/admin_messenger/__init__.py
StarryPy/StarryPy-Historic
b9dbd552b8c4631a5a8e9dda98b7ba447eca59da
[ "WTFPL" ]
38
2015-02-12T11:57:59.000Z
2018-11-15T16:03:45.000Z
plugins/admin_messenger/__init__.py
StarryPy/StarryPy-Historic
b9dbd552b8c4631a5a8e9dda98b7ba447eca59da
[ "WTFPL" ]
68
2015-02-05T23:29:47.000Z
2017-12-27T08:26:25.000Z
plugins/admin_messenger/__init__.py
StarryPy/StarryPy-Historic
b9dbd552b8c4631a5a8e9dda98b7ba447eca59da
[ "WTFPL" ]
21
2015-02-06T18:58:21.000Z
2017-12-24T20:08:59.000Z
from admin_messenger import AdminMessenger
21.5
42
0.906977
5
43
7.6
1
0
0
0
0
0
0
0
0
0
0
0
0.093023
43
1
43
43
0.974359
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
99eebe9698cf32be489fd251882fdba547c4e16c
950
py
Python
ldmtools/__init__.py
Cytomine-ULiege/LandmarkTools
dcdc327507ed4889d61ae2da74ede2cfccd00590
[ "Apache-2.0" ]
3
2019-03-02T19:38:45.000Z
2021-08-20T09:35:43.000Z
ldmtools/__init__.py
Cytomine-ULiege/LandmarkTools
dcdc327507ed4889d61ae2da74ede2cfccd00590
[ "Apache-2.0" ]
null
null
null
ldmtools/__init__.py
Cytomine-ULiege/LandmarkTools
dcdc327507ed4889d61ae2da74ede2cfccd00590
[ "Apache-2.0" ]
null
null
null
from .ldmtools import getcoords, getcoordsim, getallcoords, rgb2gray, readimage, searchpoint, makesize, build_integral_slice, generate_2_horizontal, generate_2_vertical, generate_2d_coordinates_horizontal, generate_2d_coordinates_vertical, generate_3_horizontal, generate_3_vertical, generate_3d_coordinates_horizontal, ...
475
949
0.907368
120
950
6.558333
0.416667
0.091487
0.064803
0.05845
0.071156
0.071156
0
0
0
0
0
0.011062
0.048421
950
1
950
950
0.859513
0
0
0
1
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
1
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
820b7f6f0d2afcb610d585f0756286440fe67aaf
97
py
Python
PyFLOTRAN/preprocessing/__init__.py
aitirga/PyFLOTRAN
f601052a0686e89434ae91a917f218afa6c31528
[ "MIT" ]
2
2021-05-14T18:41:49.000Z
2021-10-05T15:06:31.000Z
PyFLOTRAN/preprocessing/__init__.py
aitirga/PyFLOTRAN
f601052a0686e89434ae91a917f218afa6c31528
[ "MIT" ]
6
2020-04-30T10:19:39.000Z
2022-03-21T18:16:14.000Z
PyFLOTRAN/preprocessing/__init__.py
aitirga/PyFLOTRAN
f601052a0686e89434ae91a917f218afa6c31528
[ "MIT" ]
1
2020-03-24T10:37:23.000Z
2020-03-24T10:37:23.000Z
from .BasePreprocessing import BasePreprocessing from .STLFromPointCloud import STLFromPointCloud
48.5
48
0.907216
8
97
11
0.5
0
0
0
0
0
0
0
0
0
0
0
0.072165
97
2
49
48.5
0.977778
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
8211a6bcc44dae1f4d908d3761851934ebd08ae1
6,167
py
Python
tools/report-converter/tests/unit/analyzers/test_infer_parser.py
vabridgers/codechecker-1
08ae7e9d21a94385756b192fc13df86b9d1f79e3
[ "Apache-2.0" ]
null
null
null
tools/report-converter/tests/unit/analyzers/test_infer_parser.py
vabridgers/codechecker-1
08ae7e9d21a94385756b192fc13df86b9d1f79e3
[ "Apache-2.0" ]
null
null
null
tools/report-converter/tests/unit/analyzers/test_infer_parser.py
vabridgers/codechecker-1
08ae7e9d21a94385756b192fc13df86b9d1f79e3
[ "Apache-2.0" ]
null
null
null
# ------------------------------------------------------------------------- # # Part of the CodeChecker project, under the Apache License v2.0 with # LLVM Exceptions. See LICENSE for license information. # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception # # ---------------------------------------------------...
36.491124
79
0.578401
699
6,167
4.90701
0.167382
0.034985
0.052478
0.04898
0.751895
0.751895
0.751895
0.751895
0.725073
0.697085
0
0.001809
0.282958
6,167
168
80
36.708333
0.773858
0.1521
0
0.70297
0
0
0.161334
0.071747
0
0
0
0
0.118812
1
0.079208
false
0
0.069307
0
0.158416
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
822d460573af275e115352831de84ab9d52f46a8
1,389
py
Python
test/test_modify_group.py
ivangrebeniuk/python_training
bcf459539556d7d7152f7891e0d65bb744b4b475
[ "Apache-2.0" ]
null
null
null
test/test_modify_group.py
ivangrebeniuk/python_training
bcf459539556d7d7152f7891e0d65bb744b4b475
[ "Apache-2.0" ]
null
null
null
test/test_modify_group.py
ivangrebeniuk/python_training
bcf459539556d7d7152f7891e0d65bb744b4b475
[ "Apache-2.0" ]
null
null
null
from model.group import Group from random import randrange def test_modify_group_name(app): if app.group.count() == 0: app.group.create(Group(name="Group added in MODIFY test", header="Some test header", footer="Some test footer")) old_groups = app.group.get_group_list() index = randrange(len(old_...
37.540541
120
0.718503
210
1,389
4.538095
0.142857
0.125918
0.132214
0.10703
0.837356
0.837356
0.837356
0.837356
0.837356
0.837356
0
0.002558
0.155508
1,389
36
121
38.583333
0.809889
0
0
0.692308
0
0
0.169675
0
0
0
0
0
0.115385
1
0.115385
false
0
0.076923
0
0.192308
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
414dbf2dbb51222e598e1b1ff575ff54d2277484
1,202
py
Python
cadastre_cursor.py
tufftuff93/QgisCadastrePlugin
d331157341567be0de9ed8d01efdf70b9a8addc9
[ "PostgreSQL" ]
46
2015-01-13T10:23:31.000Z
2022-02-23T09:15:36.000Z
cadastre_cursor.py
fred-V13/QgisCadastrePlugin
d331157341567be0de9ed8d01efdf70b9a8addc9
[ "PostgreSQL" ]
266
2015-01-02T09:50:48.000Z
2022-03-29T08:07:53.000Z
cadastre/cadastre_cursor.py
rldhont/QgisCadastrePlugin
8ea2f60339c90d396cdabada6e4db2126dfd1c18
[ "PostgreSQL" ]
38
2015-04-22T13:44:33.000Z
2021-11-08T09:39:48.000Z
Cursor = ["27 27 3 1", "# c None", "a c #000000", ". c #ffffff", "###########################", "###########################", "###########################", "###########################", "###########################", ".########...
37.5625
40
0.099002
47
1,202
2.531915
0.297872
0.302521
0.302521
0.268908
0.235294
0
0
0
0
0
0
0.013953
0.284526
1,202
31
41
38.774194
0.124419
0
0
0.290323
0
0
0.638935
0.606489
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
4163b0fc56ec117be96090dd0fd6545b36135fcd
6,492
py
Python
core/symbol.py
Qidian213/mxnet_mtcnn_head_detect
fd794051e3e05b40ea66fed3b162753f63d60a8e
[ "MIT" ]
18
2018-07-24T07:36:53.000Z
2021-12-21T12:30:00.000Z
core/symbol.py
Qidian213/mxnet_mtcnn_head_detect
fd794051e3e05b40ea66fed3b162753f63d60a8e
[ "MIT" ]
4
2019-05-09T01:07:17.000Z
2021-09-10T08:32:52.000Z
core/symbol.py
Qidian213/mxnet_mtcnn_head_detect
fd794051e3e05b40ea66fed3b162753f63d60a8e
[ "MIT" ]
14
2018-06-05T15:10:13.000Z
2021-08-13T07:17:17.000Z
import mxnet as mx import negativemining from config import config def P_Net(mode='train'): """ Proposal Network input shape 3 x 12 x 12 """ data = mx.symbol.Variable(name="data") bbox_target = mx.symbol.Variable(name="bbox_target") label = mx.symbol.Variable(name="label") conv1 = mx.s...
49.938462
130
0.646796
902
6,492
4.509978
0.107539
0.123894
0.056047
0.067847
0.889626
0.841691
0.8235
0.782448
0.782448
0.726893
0
0.044534
0.201017
6,492
129
131
50.325581
0.739734
0.018176
0
0.527473
0
0
0.086922
0
0
0
0
0
0
1
0.032967
false
0
0.032967
0
0.098901
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
41b66295a5b9bd1331485f9673e315beb2d12668
348
py
Python
EXIFnaming/models/__init__.py
mvolkert/EXIFnaming
2cd7aa03cec8e05e046ccc84c523d560ccc3b8c0
[ "MIT" ]
null
null
null
EXIFnaming/models/__init__.py
mvolkert/EXIFnaming
2cd7aa03cec8e05e046ccc84c523d560ccc3b8c0
[ "MIT" ]
null
null
null
EXIFnaming/models/__init__.py
mvolkert/EXIFnaming
2cd7aa03cec8e05e046ccc84c523d560ccc3b8c0
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 from EXIFnaming.models.DMC_TZ101 import DMC_TZ101 from EXIFnaming.models.DMC_TZ7 import DMC_TZ7 from EXIFnaming.models.ModelBase import ModelBase from EXIFnaming.models.NormalFile import NormalFile from EXIFnaming.models.PhotoFile import PhotoFile __all__ = ["DMC_TZ101", "DMC_TZ7", "ModelBase",...
34.8
74
0.818966
46
348
5.978261
0.326087
0.254545
0.363636
0.167273
0
0
0
0
0
0
0
0.041009
0.08908
348
9
75
38.666667
0.826498
0.060345
0
0
0
0
0.134969
0
0
0
0
0
0
1
0
false
0
0.833333
0
0.833333
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
6
68c37e3ddc9773762e16d91dcae58ba5f81bd061
39,812
py
Python
cottonformation/res/pinpointemail.py
MacHu-GWU/cottonformation-project
23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b
[ "BSD-2-Clause" ]
5
2021-07-22T03:45:59.000Z
2021-12-17T21:07:14.000Z
cottonformation/res/pinpointemail.py
MacHu-GWU/cottonformation-project
23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b
[ "BSD-2-Clause" ]
1
2021-06-25T18:01:31.000Z
2021-06-25T18:01:31.000Z
cottonformation/res/pinpointemail.py
MacHu-GWU/cottonformation-project
23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b
[ "BSD-2-Clause" ]
2
2021-06-27T03:08:21.000Z
2021-06-28T22:15:51.000Z
# -*- coding: utf-8 -*- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class PropConfigurationSetEventDestinationDimensionConfiguration(Property): """...
66.023217
284
0.794434
3,675
39,812
8.519456
0.033742
0.027596
0.037944
0.058641
0.851736
0.850778
0.822128
0.760931
0.760931
0.760133
0
0.00036
0.093213
39,812
602
285
66.13289
0.866901
0.363182
0
0.370861
0
0
0.137266
0.109961
0
0
0
0
0
1
0.019868
false
0
0.013245
0
0.311258
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
68dae102a9efdfe6a924782c3fd7d7c88512aab1
82
py
Python
pys60/bbdata/__init__.py
crutchwalkfactory/jaikuengine-mobile-client
c47100ec009d47a4045b3d98addc9b8ad887b132
[ "MIT" ]
null
null
null
pys60/bbdata/__init__.py
crutchwalkfactory/jaikuengine-mobile-client
c47100ec009d47a4045b3d98addc9b8ad887b132
[ "MIT" ]
null
null
null
pys60/bbdata/__init__.py
crutchwalkfactory/jaikuengine-mobile-client
c47100ec009d47a4045b3d98addc9b8ad887b132
[ "MIT" ]
null
null
null
from bbdata.factory import * from bbdata.base import * from bbdata.types import *
20.5
28
0.780488
12
82
5.333333
0.5
0.46875
0.5
0
0
0
0
0
0
0
0
0
0.146341
82
3
29
27.333333
0.914286
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
6
ec2384027deca75325be03fd019d39d78747d646
304
py
Python
ufdl-core-app/src/ufdl/core_app/serialisers/jobs/__init__.py
waikato-ufdl/ufdl-backend
776fc906c61eba6c2f2e6324758e7b8a323e30d7
[ "Apache-2.0" ]
null
null
null
ufdl-core-app/src/ufdl/core_app/serialisers/jobs/__init__.py
waikato-ufdl/ufdl-backend
776fc906c61eba6c2f2e6324758e7b8a323e30d7
[ "Apache-2.0" ]
85
2020-07-24T00:04:28.000Z
2022-02-10T10:35:15.000Z
ufdl-core-app/src/ufdl/core_app/serialisers/jobs/__init__.py
waikato-ufdl/ufdl-backend
776fc906c61eba6c2f2e6324758e7b8a323e30d7
[ "Apache-2.0" ]
null
null
null
from ._InputSerialiser import InputSerialiser from ._JobOutputSerialiser import JobOutputSerialiser from ._JobSerialiser import JobSerialiser from ._JobTemplateSerialiser import JobTemplateSerialiser from ._JobTypeSerialiser import JobTypeSerialiser from ._ParameterSerialiser import ParameterSerialiser
43.428571
57
0.901316
24
304
11.166667
0.333333
0
0
0
0
0
0
0
0
0
0
0
0.078947
304
6
58
50.666667
0.957143
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
ec3a27ed4fc322cdfd25ebd2f34581e73f1bf79a
9,519
py
Python
tests/unittest/ga/test_island.py
Zipfian-Science/natural-selection
5bf04142a73f39a83e86ad0eb53ba0fecb365864
[ "Apache-2.0" ]
null
null
null
tests/unittest/ga/test_island.py
Zipfian-Science/natural-selection
5bf04142a73f39a83e86ad0eb53ba0fecb365864
[ "Apache-2.0" ]
1
2021-02-26T10:10:43.000Z
2021-02-26T10:10:43.000Z
tests/unittest/ga/test_island.py
Zipfian-Science/natural-selection
5bf04142a73f39a83e86ad0eb53ba0fecb365864
[ "Apache-2.0" ]
null
null
null
import os.path import unittest from natural_selection.genetic_algorithms import Gene, Chromosome, Individual, Island from natural_selection.genetic_algorithms.utils.random_functions import random_int from natural_selection.genetic_algorithms.operators.crossover import crossover_two_n_point class TestSimpleIsland(unitt...
47.358209
130
0.686207
1,421
9,519
4.370866
0.080929
0.034616
0.048945
0.104009
0.862985
0.825793
0.810981
0.810981
0.797456
0.797456
0
0.041098
0.176909
9,519
200
131
47.595
0.751627
0
0
0.695035
0
0
0.037189
0
0
0
0
0
0.106383
1
0.106383
false
0
0.078014
0.014184
0.234043
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
6b90a680efc189f6510738b0caefe0d2440c790f
7,899
py
Python
tests/LookupTests.py
cdlhub/OasisPiWind
92dc73facd8227880244022345d4210b13d59440
[ "BSD-2-Clause" ]
null
null
null
tests/LookupTests.py
cdlhub/OasisPiWind
92dc73facd8227880244022345d4210b13d59440
[ "BSD-2-Clause" ]
null
null
null
tests/LookupTests.py
cdlhub/OasisPiWind
92dc73facd8227880244022345d4210b13d59440
[ "BSD-2-Clause" ]
null
null
null
# (c) 2013-2016 Oasis LMF Ltd. Software provided for early adopter evaluation only. import inspect import os import sys import unittest BASE_DIR = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) SRC_PATH = os.path.abspath(os.path.join(BASE_DIR, '..', 'src')) if os.path.exists(SRC_PATH): ...
37.614286
133
0.64122
1,058
7,899
4.511342
0.085066
0.105594
0.061596
0.087995
0.866122
0.81982
0.81563
0.773518
0.754033
0.754033
0
0.040006
0.218382
7,899
209
134
37.794258
0.733074
0.010381
0
0.546053
0
0
0.118874
0
0
0
0
0
0.342105
1
0.085526
false
0
0.039474
0
0.144737
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
6bc7895f5b69b9ddd78ed239ca844b16b86cc641
32
py
Python
slack/tests/test_start.py
imsardine/learning
925841ddd93d60c740a62e12d9f57ef15b6e0a20
[ "MIT" ]
null
null
null
slack/tests/test_start.py
imsardine/learning
925841ddd93d60c740a62e12d9f57ef15b6e0a20
[ "MIT" ]
null
null
null
slack/tests/test_start.py
imsardine/learning
925841ddd93d60c740a62e12d9f57ef15b6e0a20
[ "MIT" ]
null
null
null
def test_hello_world(): pass
16
23
0.71875
5
32
4.2
1
0
0
0
0
0
0
0
0
0
0
0
0.1875
32
2
24
16
0.807692
0
0
0
0
0
0
0
0
0
0
0
0
1
0.5
true
0.5
0
0
0.5
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
1
0
0
0
0
0
6
6bf83e84e1efd014022f6a6cb7ec6005a0f7737f
524,967
py
Python
appendix/pytorch/test_nsoltSynthesis2dNetwork.py
nixir/SaivDr
f54bf29ef107916b26f42c0fbd6a23f2ef73b2b7
[ "BSD-2-Clause" ]
null
null
null
appendix/pytorch/test_nsoltSynthesis2dNetwork.py
nixir/SaivDr
f54bf29ef107916b26f42c0fbd6a23f2ef73b2b7
[ "BSD-2-Clause" ]
null
null
null
appendix/pytorch/test_nsoltSynthesis2dNetwork.py
nixir/SaivDr
f54bf29ef107916b26f42c0fbd6a23f2ef73b2b7
[ "BSD-2-Clause" ]
null
null
null
import unittest import torch import torch.nn as nn from nsoltSynthesis2dNetwork import NsoltSynthesis2dNetwork class NsoltSynthesis2dNetworkTestCase(unittest.TestCase): """ NSOLTSYNHESIS2DNETWORKTESTCASE Test cases for NsoltSynthesis2dNetwork Requirements: Python 3.7.x, PyTorch 1.7.x Copyrigh...
39.214686
107
0.477556
42,705
524,967
5.8695
0.011966
0.02043
0.023079
0.033528
0.96938
0.968622
0.967565
0.967114
0.964178
0.963735
0
0.025851
0.400844
524,967
13,386
108
39.217615
0.771057
0.000863
0
0
0
0
0.007752
0
0
0
0
0
0.137931
1
0.068966
false
0
0.137931
0
0.241379
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
d448e1c294882c3a803af23ea3894c5926461b52
2,456
py
Python
pontoon/api/tests/test_urls.py
foss4/pontoon
0503cc78f00e1e9d23c1ca885fe74a627563fc82
[ "BSD-3-Clause" ]
1,145
2015-05-15T01:08:16.000Z
2022-03-31T14:23:45.000Z
pontoon/api/tests/test_urls.py
foss4/pontoon
0503cc78f00e1e9d23c1ca885fe74a627563fc82
[ "BSD-3-Clause" ]
1,365
2015-05-04T21:54:18.000Z
2022-03-30T16:53:49.000Z
pontoon/api/tests/test_urls.py
foss4/pontoon
0503cc78f00e1e9d23c1ca885fe74a627563fc82
[ "BSD-3-Clause" ]
667
2015-05-04T21:33:45.000Z
2022-03-30T10:25:33.000Z
import importlib import sys import pytest from django.urls import clear_url_caches def reload_urls(settings): clear_url_caches() importlib.reload(sys.modules[settings.ROOT_URLCONF]) @pytest.fixture @pytest.mark.django_db def projects_query(): return {"query": "{projects{name}}"} @pytest.mark.django_d...
29.238095
86
0.755293
330
2,456
5.39697
0.157576
0.124088
0.080853
0.09096
0.865806
0.854015
0.854015
0.827625
0.723751
0.723751
0
0.011241
0.1307
2,456
83
87
29.590361
0.822951
0
0
0.649123
0
0
0.12215
0
0
0
0
0
0.140351
1
0.175439
false
0
0.087719
0.017544
0.280702
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
d4801898f9843e761eab8087da0daaa65b9b83b9
67
py
Python
was/utils.py
KeserOner/where-artists-share
3dd4acb64bdf48eaf026f0ef4f2fc5083fc94b0a
[ "MIT" ]
2
2015-07-08T12:50:50.000Z
2015-07-20T09:55:11.000Z
was/utils.py
KeserOner/where-artists-share
3dd4acb64bdf48eaf026f0ef4f2fc5083fc94b0a
[ "MIT" ]
49
2015-07-02T17:52:49.000Z
2022-03-11T23:14:52.000Z
was/utils.py
KeserOner/where-artists-share
3dd4acb64bdf48eaf026f0ef4f2fc5083fc94b0a
[ "MIT" ]
null
null
null
def format_error(error_message): return {"err": error_message}
22.333333
33
0.746269
9
67
5.222222
0.666667
0.510638
0
0
0
0
0
0
0
0
0
0
0.134328
67
2
34
33.5
0.810345
0
0
0
0
0
0.044776
0
0
0
0
0
0
1
0.5
false
0
0
0.5
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6
2e166b2ee848862c718ba4d674b0b8bc0fb82a57
13,374
py
Python
hapiplot/plot/heatmap_test.py
hapi-server/plot-python
a264dbc13df0e58644c8e79130d416928abd2fc6
[ "BSD-3-Clause" ]
null
null
null
hapiplot/plot/heatmap_test.py
hapi-server/plot-python
a264dbc13df0e58644c8e79130d416928abd2fc6
[ "BSD-3-Clause" ]
null
null
null
hapiplot/plot/heatmap_test.py
hapi-server/plot-python
a264dbc13df0e58644c8e79130d416928abd2fc6
[ "BSD-3-Clause" ]
null
null
null
# TODO: Change to unit tests. # * Take screenshot of figure window canvas and compare with referenc # * Print image to file and compare with reference # * Compare figure window screenshot with printed image. from hapiclient.plot.heatmap import heatmap from datetime import datetime, timedelta import numpy as np tests ...
37.886686
101
0.502692
2,124
13,374
3.161959
0.094162
0.102144
0.091721
0.080405
0.810155
0.785736
0.771292
0.756254
0.725581
0.701161
0
0.079442
0.30821
13,374
352
102
37.994318
0.646455
0.114551
0
0.565056
0
0
0.167447
0.003918
0
0
0
0.002841
0
1
0
false
0
0.018587
0
0.018587
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
2e589d18eb7d6e26f1f6688fd4d01940abbb6654
4,779
py
Python
scripts/sbd.py
canozbey/SplitExp
d2b90b0a78d735a096783addf4765eb0b1f8e362
[ "MIT" ]
null
null
null
scripts/sbd.py
canozbey/SplitExp
d2b90b0a78d735a096783addf4765eb0b1f8e362
[ "MIT" ]
null
null
null
scripts/sbd.py
canozbey/SplitExp
d2b90b0a78d735a096783addf4765eb0b1f8e362
[ "MIT" ]
1
2020-06-26T21:24:29.000Z
2020-06-26T21:24:29.000Z
#regex module must be installed to run the code. It can be found at https://pypi.org/project/regex/ import regex def split_sentences(pattern, input): sentences = [] fr = 0 to = 0 add = False for m in pattern.finditer(input): if m.group(3) is not None or m.group(5) is not None: ...
164.793103
3,522
0.460975
1,139
4,779
1.95698
0.271291
0.011664
0.006729
0.007178
0.074921
0.035891
0.018843
0.018843
0.011664
0.011664
0
0.006007
0.059427
4,779
28
3,523
170.678571
0.483649
0.020506
0
0.095238
0
0.095238
0.713034
0.581838
0
0
0
0
0
1
0.047619
false
0
0.047619
0
0.142857
0.047619
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
2e633e4b20b6393548f67f03c819648ecd87cba8
24
py
Python
Payne/testing/__init__.py
pacargile/ThePayne
86fbba352e8777bcc0f18a6c2a0f140dd9550075
[ "MIT" ]
20
2017-04-04T23:01:30.000Z
2022-02-23T19:30:30.000Z
Payne/testing/__init__.py
pacargile/ThePayne
86fbba352e8777bcc0f18a6c2a0f140dd9550075
[ "MIT" ]
null
null
null
Payne/testing/__init__.py
pacargile/ThePayne
86fbba352e8777bcc0f18a6c2a0f140dd9550075
[ "MIT" ]
4
2017-12-11T06:15:02.000Z
2022-02-12T17:41:41.000Z
from .testspec import *
12
23
0.75
3
24
6
1
0
0
0
0
0
0
0
0
0
0
0
0.166667
24
1
24
24
0.9
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
6
2e81b8563cd7625a9717efc3c8c6111f70a498df
397
py
Python
core/views.py
thephantomcreation/GOQ
1af92bb1514194bbfdcc4dfd1e3798c273ec974f
[ "MIT" ]
null
null
null
core/views.py
thephantomcreation/GOQ
1af92bb1514194bbfdcc4dfd1e3798c273ec974f
[ "MIT" ]
null
null
null
core/views.py
thephantomcreation/GOQ
1af92bb1514194bbfdcc4dfd1e3798c273ec974f
[ "MIT" ]
null
null
null
from django.shortcuts import render def index(request): return render(request, 'core/index.html') def semester(request): return render(request, 'core/semesters.html') def questions(request): return render(request,'core/questions.html') def search_results(request): return render(request, 'core/search_results.htm...
24.8125
51
0.778338
54
397
5.648148
0.333333
0.213115
0.311475
0.42623
0.491803
0
0
0
0
0
0
0
0.093199
397
16
52
24.8125
0.847222
0
0
0
0
0
0.243719
0.060302
0
0
0
0
0
1
0.454545
false
0
0.090909
0.454545
1
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6
5cef217d3ba2cb57a94b148cdc39136c069a18bd
60
py
Python
__init__.py
craigderington/graph-flask-app
1bedfb611ff95b9963911feb42f49590fe2605f6
[ "MIT" ]
2
2020-12-11T14:54:45.000Z
2020-12-31T14:04:48.000Z
__init__.py
craigderington/graph-flask-app
1bedfb611ff95b9963911feb42f49590fe2605f6
[ "MIT" ]
null
null
null
__init__.py
craigderington/graph-flask-app
1bedfb611ff95b9963911feb42f49590fe2605f6
[ "MIT" ]
null
null
null
"__author__ = 'Craig Derington <cderington@championsg.com>'"
60
60
0.783333
6
60
7.166667
1
0
0
0
0
0
0
0
0
0
0
0
0.066667
60
1
60
60
0.767857
0.966667
0
0
0
0
0.95082
0.459016
0
0
0
0
0
1
0
true
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
1
null
0
0
0
0
0
0
1
0
0
0
0
0
0
6
cf75674932040fefb217d6c6ab2e760552ab9e1d
1,039
py
Python
netainfo/netaproj/items.py
saurabhp75/netainfo
1938027df1a806c57d31c241ade22e3fc347b0ef
[ "MIT" ]
null
null
null
netainfo/netaproj/items.py
saurabhp75/netainfo
1938027df1a806c57d31c241ade22e3fc347b0ef
[ "MIT" ]
null
null
null
netainfo/netaproj/items.py
saurabhp75/netainfo
1938027df1a806c57d31c241ade22e3fc347b0ef
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html import scrapy from scrapy.item import Item, Field class NetaprojItem(scrapy.Item): # define the fields for your item here like: # Primary fields Candidat...
21.645833
52
0.629451
117
1,039
5.555556
0.410256
0.032308
0.049231
0.058462
0.704615
0.704615
0.704615
0.704615
0.704615
0.704615
0
0.001304
0.26179
1,039
48
53
21.645833
0.846154
0.319538
0
0.814815
0
0
0
0
0
0
0
0
0
1
0
false
0
0.074074
0
1
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
d86781b82a69740693152cc5c164a200579e64e7
62
py
Python
backend/html_py_test.py
samperid/Neptune
21f14264913cbdcd03df2c9045215a90a6913d26
[ "BSD-2-Clause" ]
1
2019-04-22T09:04:50.000Z
2019-04-22T09:04:50.000Z
backend/html_py_test.py
celineshaw/Neptune
21f14264913cbdcd03df2c9045215a90a6913d26
[ "BSD-2-Clause" ]
null
null
null
backend/html_py_test.py
celineshaw/Neptune
21f14264913cbdcd03df2c9045215a90a6913d26
[ "BSD-2-Clause" ]
null
null
null
def function_yo(x,y): return x+y print(function_yo(5,4))
12.4
23
0.677419
13
62
3.076923
0.692308
0.5
0
0
0
0
0
0
0
0
0
0.038462
0.16129
62
4
24
15.5
0.730769
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
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
6