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
810028e77fa49197f58461ee88815f3bf00eba42
2,029
py
Python
weasyprint/tests/test_stacking.py
Smylers/WeasyPrint
25ce91a34755386b3350d898aa1638c349723b57
[ "BSD-3-Clause" ]
null
null
null
weasyprint/tests/test_stacking.py
Smylers/WeasyPrint
25ce91a34755386b3350d898aa1638c349723b57
[ "BSD-3-Clause" ]
null
null
null
weasyprint/tests/test_stacking.py
Smylers/WeasyPrint
25ce91a34755386b3350d898aa1638c349723b57
[ "BSD-3-Clause" ]
null
null
null
# coding: utf8 """ weasyprint.tests.stacking ------------------------- :copyright: Copyright 2011-2012 Simon Sapin and contributors, see AUTHORS. :license: BSD, see LICENSE for details. """ from __future__ import division, unicode_literals from ..stacking import StackingContext from .test_boxes impo...
25.683544
78
0.556925
234
2,029
4.679487
0.376068
0.029224
0.076712
0.041096
0.231963
0.096804
0.096804
0.049315
0
0
0
0.01222
0.274027
2,029
78
79
26.012821
0.731161
0.126663
0
0.259259
0
0
0.239679
0
0
0
0
0
0.12963
1
0.092593
false
0
0.092593
0.037037
0.240741
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8100832c0d5bc42056a44079c84eec3ee522ecd0
1,143
py
Python
django-magic-link/customers/views.py
industrydive/sourcelist
9db4ec5c9cb9246a644615ca401a3c8f8d560b6e
[ "MIT" ]
5
2017-10-28T17:17:35.000Z
2020-06-24T21:43:22.000Z
django-magic-link/customers/views.py
greglinch/sourcelist
8267bb060e55f036d6d2dd9648698a5b8e48c0b3
[ "MIT" ]
2
2020-02-11T21:50:49.000Z
2021-04-08T18:25:26.000Z
django-magic-link/customers/views.py
industrydive/sourcelist
9db4ec5c9cb9246a644615ca401a3c8f8d560b6e
[ "MIT" ]
2
2017-11-02T02:14:25.000Z
2019-05-28T15:35:44.000Z
from django.shortcuts import render from django.contrib.auth.models import User from django.contrib.auth.decorators import login_required from sesame import utils from django.core.mail import send_mail def login_page(request): if request.method == "POST": email = request.POST.get("emailId") user =...
31.75
107
0.630796
145
1,143
4.848276
0.441379
0.056899
0.081081
0.059744
0.079659
0
0
0
0
0
0
0.011561
0.24322
1,143
36
108
31.75
0.801156
0
0
0
0
0
0.271853
0.018357
0
0
0
0
0
1
0.066667
false
0
0.166667
0.033333
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81014d9aa2fe1551a160b448cdc227329bca693d
3,079
py
Python
python-lib/config/dss_parameter.py
dataiku/dss-plugin-nlp-analysis
ff9dce56500dc8f28f83158afbdf7db01074ee38
[ "Apache-2.0" ]
1
2021-03-12T10:45:53.000Z
2021-03-12T10:45:53.000Z
python-lib/config/dss_parameter.py
dataiku/dss-plugin-nlp-analysis
ff9dce56500dc8f28f83158afbdf7db01074ee38
[ "Apache-2.0" ]
22
2021-03-01T18:49:54.000Z
2021-06-08T15:16:30.000Z
python-lib/config/dss_parameter.py
dataiku/dss-plugin-nlp-analysis
ff9dce56500dc8f28f83158afbdf7db01074ee38
[ "Apache-2.0" ]
1
2021-02-22T15:19:43.000Z
2021-02-22T15:19:43.000Z
from .custom_check import CustomCheck, CustomCheckError from typing import Any, List import logging logger = logging.getLogger(__name__) class DSSParameterError(Exception): """Exception raised when at least one CustomCheck fails.""" pass class DSSParameter: """Object related to one parameter. It is m...
33.835165
104
0.618383
358
3,079
5.231844
0.304469
0.025627
0.029899
0.014949
0.275494
0.275494
0.275494
0.275494
0.275494
0.275494
0
0
0.284183
3,079
90
105
34.211111
0.849819
0.363105
0
0.044444
0
0
0.106576
0.02381
0
0
0
0
0
1
0.177778
false
0.022222
0.066667
0.044444
0.355556
0.044444
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81017170c94b85c3925c1875676b310a658ce79c
21,868
py
Python
misc/import_ch_zurich.py
mstarikov/transitfeed
c018d7b14f6fccaa670629c00c83a390b5461fc1
[ "Apache-2.0" ]
null
null
null
misc/import_ch_zurich.py
mstarikov/transitfeed
c018d7b14f6fccaa670629c00c83a390b5461fc1
[ "Apache-2.0" ]
null
null
null
misc/import_ch_zurich.py
mstarikov/transitfeed
c018d7b14f6fccaa670629c00c83a390b5461fc1
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python2.4 # Copyright (C) 2008 Google Inc. # # 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 la...
42.62768
94
0.559813
2,779
21,868
4.24937
0.222022
0.01321
0.019561
0.007621
0.104751
0.076721
0.055805
0.047676
0.036752
0.029469
0
0.02959
0.313838
21,868
512
95
42.710938
0.757414
0.171163
0
0.080808
0
0.002525
0.160013
0.035714
0
0
0
0
0.010101
1
0.063131
false
0.012626
0.090909
0.002525
0.181818
0.012626
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810397b3d3caaed833502145ab5542c3eb653710
723
py
Python
csat/django/fields.py
GaretJax/csat
db63441136369436140a91c9657444353c8944e6
[ "MIT" ]
null
null
null
csat/django/fields.py
GaretJax/csat
db63441136369436140a91c9657444353c8944e6
[ "MIT" ]
7
2020-06-05T17:15:29.000Z
2022-02-11T03:38:15.000Z
csat/django/fields.py
GaretJax/csat
db63441136369436140a91c9657444353c8944e6
[ "MIT" ]
null
null
null
from lxml import etree from django import forms from django.db import models class XMLFileField(models.FileField): def __init__(self, *args, **kwargs): self.schema = kwargs.pop('schema') super(XMLFileField, self).__init__(*args, **kwargs) def clean(self, *args, **kwargs): data = supe...
28.92
74
0.60166
85
723
5.023529
0.482353
0.093677
0.065574
0
0
0
0
0
0
0
0
0
0.29184
723
24
75
30.125
0.833984
0
0
0
0
0
0.091286
0
0
0
0
0
0
1
0.117647
false
0
0.176471
0
0.411765
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8104cf1d7fdf7aff507bf4b2cd4aa7b19708a446
15,658
py
Python
keras_cv_attention_models/yolox/yolox.py
RishabhSehgal/keras_cv_attention_models
c1e20e45815339d70a987ec7dd9e6f926b4eb21d
[ "MIT" ]
null
null
null
keras_cv_attention_models/yolox/yolox.py
RishabhSehgal/keras_cv_attention_models
c1e20e45815339d70a987ec7dd9e6f926b4eb21d
[ "MIT" ]
null
null
null
keras_cv_attention_models/yolox/yolox.py
RishabhSehgal/keras_cv_attention_models
c1e20e45815339d70a987ec7dd9e6f926b4eb21d
[ "MIT" ]
null
null
null
import tensorflow as tf from tensorflow import keras from keras_cv_attention_models.attention_layers import ( activation_by_name, batchnorm_with_activation, conv2d_no_bias, depthwise_conv2d_no_bias, add_pre_post_process, ) from keras_cv_attention_models import model_surgery from keras_cv_attention_m...
54.940351
156
0.709158
2,273
15,658
4.609327
0.120106
0.050396
0.067195
0.056123
0.484872
0.424454
0.406223
0.366517
0.338074
0.304858
0
0.042312
0.154745
15,658
284
157
55.133803
0.746505
0.090305
0
0.089552
0
0
0.061245
0.015187
0
0
0
0
0
1
0.089552
false
0
0.029851
0.029851
0.21393
0.00995
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8104ee7a90ab52a7bdf79ad5abbc624a2b356482
4,064
py
Python
robot-server/tests/service/json_api/test_response.py
mrod0101/opentrons
6450edb0421f1c2484c292f8583602d8f6fd13b8
[ "Apache-2.0" ]
null
null
null
robot-server/tests/service/json_api/test_response.py
mrod0101/opentrons
6450edb0421f1c2484c292f8583602d8f6fd13b8
[ "Apache-2.0" ]
2
2022-02-15T03:28:35.000Z
2022-02-28T01:34:18.000Z
robot-server/tests/service/json_api/test_response.py
mrod0101/opentrons
6450edb0421f1c2484c292f8583602d8f6fd13b8
[ "Apache-2.0" ]
null
null
null
from pytest import raises from pydantic import ValidationError from robot_server.service.json_api.response import ( ResponseDataModel, ResponseModel, MultiResponseModel, ) from tests.service.helpers import ItemResponseModel def test_attributes_as_dict() -> None: MyResponse = ResponseModel[ResponseDat...
26.913907
78
0.483514
369
4,064
5.162602
0.189702
0.051969
0.054593
0.062992
0.685564
0.578478
0.52231
0.456693
0.456693
0.286614
0
0.037308
0.360236
4,064
150
79
27.093333
0.695385
0
0
0.407407
0
0
0.135335
0
0
0
0
0
0.044444
1
0.044444
false
0
0.02963
0
0.074074
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81053c6c0f8dac07d6cae3bc4a12cf5b1f575105
2,300
py
Python
neutron/db/migration/alembic_migrations/versions/mitaka/contract/c6c112992c9_rbac_qos_policy.py
congnt95/neutron
6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1
[ "Apache-2.0" ]
1,080
2015-01-04T08:35:00.000Z
2022-03-27T09:15:52.000Z
neutron/db/migration/alembic_migrations/versions/mitaka/contract/c6c112992c9_rbac_qos_policy.py
congnt95/neutron
6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1
[ "Apache-2.0" ]
24
2015-02-21T01:48:28.000Z
2021-11-26T02:38:56.000Z
neutron/db/migration/alembic_migrations/versions/mitaka/contract/c6c112992c9_rbac_qos_policy.py
congnt95/neutron
6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1
[ "Apache-2.0" ]
1,241
2015-01-02T10:47:10.000Z
2022-03-27T09:42:23.000Z
# Copyright 2015 OpenStack Foundation # # 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 ...
33.333333
78
0.665652
309
2,300
4.854369
0.466019
0.042667
0.065333
0.053333
0.186
0.180667
0.180667
0.16
0.109333
0.109333
0
0.048199
0.215217
2,300
68
79
33.823529
0.782825
0.309565
0
0.060606
0
0
0.119863
0
0
0
0
0
0
1
0.060606
false
0
0.121212
0
0.212121
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8105a101c915deb0c3d41bd2462e33e9a3a8584e
1,200
py
Python
chapter5/ch5_gcp_subscriber.py
ericchou1/network-devops-kafka-up-and-running
c128cf7359ba40c3005a02d3033b16b67c196779
[ "Apache-2.0" ]
1
2021-12-30T08:55:09.000Z
2021-12-30T08:55:09.000Z
chapter5/ch5_gcp_subscriber.py
ericchou1/network-devops-kafka-up-and-running
c128cf7359ba40c3005a02d3033b16b67c196779
[ "Apache-2.0" ]
null
null
null
chapter5/ch5_gcp_subscriber.py
ericchou1/network-devops-kafka-up-and-running
c128cf7359ba40c3005a02d3033b16b67c196779
[ "Apache-2.0" ]
2
2021-11-22T09:56:30.000Z
2022-02-06T22:55:55.000Z
from concurrent.futures import TimeoutError from google.cloud import pubsub_v1 project_id = "pubsub-testing-331300" subscription_id = "test-sub" # Number of seconds the subscriber should listen for messages timeout = 5.0 subscriber = pubsub_v1.SubscriberClient() # The `subscription_path` method creates a fully qualif...
38.709677
82
0.766667
151
1,200
5.94702
0.543046
0.089087
0.084633
0.055679
0
0
0
0
0
0
0
0.010763
0.148333
1,200
30
83
40
0.867906
0.360833
0
0
0
0
0.128137
0.058124
0
0
0
0
0
1
0.055556
false
0
0.111111
0
0.166667
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8107dd8d87df5ce3c83ed8d4993880ee03266544
2,136
py
Python
odoo-13.0/addons/google_drive/models/res_config_settings.py
VaibhavBhujade/Blockchain-ERP-interoperability
b5190a037fb6615386f7cbad024d51b0abd4ba03
[ "MIT" ]
null
null
null
odoo-13.0/addons/google_drive/models/res_config_settings.py
VaibhavBhujade/Blockchain-ERP-interoperability
b5190a037fb6615386f7cbad024d51b0abd4ba03
[ "MIT" ]
null
null
null
odoo-13.0/addons/google_drive/models/res_config_settings.py
VaibhavBhujade/Blockchain-ERP-interoperability
b5190a037fb6615386f7cbad024d51b0abd4ba03
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from odoo import api, fields, models, _ class ResConfigSettings(models.TransientModel): _inherit = "res.config.settings" google_drive_authorization_code = fields.Char(string='Authorization Code', config_parame...
45.446809
142
0.69382
258
2,136
5.410853
0.344961
0.126075
0.094556
0.100287
0.17765
0.098854
0
0
0
0
0
0.000585
0.199438
2,136
46
143
46.434783
0.815789
0.044007
0
0
0
0
0.251103
0.102011
0
0
0
0
0
1
0.111111
false
0
0.027778
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81081edbfb2a07d5868f34f5440db42fe2a2e90a
17,308
py
Python
dataloaders/loader.py
sanger640/attMPTI
a2784b784e0900f3603baa3779631da67bcd0562
[ "MIT" ]
93
2021-03-18T13:56:42.000Z
2022-03-30T03:31:35.000Z
dataloaders/loader.py
sanger640/attMPTI
a2784b784e0900f3603baa3779631da67bcd0562
[ "MIT" ]
20
2021-03-30T12:36:05.000Z
2022-03-28T09:01:34.000Z
dataloaders/loader.py
sanger640/attMPTI
a2784b784e0900f3603baa3779631da67bcd0562
[ "MIT" ]
14
2021-04-17T17:19:19.000Z
2022-03-09T13:49:30.000Z
""" Data Loader for Generating Tasks Author: Zhao Na, 2020 """ import os import random import math import glob import numpy as np import h5py as h5 import transforms3d from itertools import combinations import torch from torch.utils.data import Dataset def sample_K_pointclouds(data_path, num_point, pc_attribs, pc_...
46.526882
129
0.621389
2,140
17,308
4.68972
0.120561
0.021523
0.026305
0.014348
0.459845
0.371762
0.311379
0.26933
0.205161
0.172579
0
0.014474
0.273515
17,308
372
130
46.526882
0.783681
0.035475
0
0.19244
0
0
0.043093
0.004309
0
0
0
0
0
1
0.058419
false
0
0.041237
0.010309
0.158076
0.013746
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810978ce9b3f6467c879457442fbbbac1342a8e8
3,065
py
Python
homeassistant/components/hunterdouglas_powerview/entity.py
pp81381/home-assistant
23e362faf387c1535be0abab81b30d8e4631df4b
[ "Apache-2.0" ]
null
null
null
homeassistant/components/hunterdouglas_powerview/entity.py
pp81381/home-assistant
23e362faf387c1535be0abab81b30d8e4631df4b
[ "Apache-2.0" ]
31
2020-07-23T07:13:38.000Z
2021-06-07T13:21:18.000Z
homeassistant/components/hunterdouglas_powerview/entity.py
pp81381/home-assistant
23e362faf387c1535be0abab81b30d8e4631df4b
[ "Apache-2.0" ]
null
null
null
"""The nexia integration base entity.""" from aiopvapi.resources.shade import ATTR_TYPE from homeassistant.const import ATTR_MODEL, ATTR_SW_VERSION import homeassistant.helpers.device_registry as dr from homeassistant.helpers.entity import DeviceInfo from homeassistant.helpers.update_coordinator import CoordinatorEnt...
32.606383
114
0.669494
347
3,065
5.54755
0.210375
0.109091
0.050909
0.072727
0.326753
0.300779
0.25039
0.210909
0.210909
0.161039
0
0
0.239152
3,065
93
115
32.956989
0.825472
0.085808
0
0.19403
0
0
0.065194
0.065194
0
0
0
0
0
1
0.074627
false
0
0.089552
0
0.253731
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810a3b9f5eeaf3e888067a624f744f48f465345b
9,244
py
Python
keycast_env/lib/python3.8/site-packages/Xlib/ext/res.py
daxter-army/key-cast
cadc88c6760839b37b7fef969294800d4c38fb1b
[ "MIT" ]
10
2021-09-15T16:29:59.000Z
2022-01-15T11:51:56.000Z
lib/Xlib/ext/res.py
ITZProGamerDieYT/SpeedrunningTimerLinux
4383c8fdfff476fdb81a99a1d6271218e6e9eee3
[ "CC-BY-3.0" ]
7
2021-09-16T06:21:44.000Z
2022-03-18T03:11:25.000Z
lib/Xlib/ext/res.py
ITZProGamerDieYT/SpeedrunningTimerLinux
4383c8fdfff476fdb81a99a1d6271218e6e9eee3
[ "CC-BY-3.0" ]
3
2021-09-20T13:08:43.000Z
2022-03-18T03:09:08.000Z
# Xlib.ext.res -- X-Resource extension module # # Copyright (C) 2021 Aleksei Bavshin <alebastr89@gmail.com> # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public License # as published by the Free Software Foundation; either version 2.1 ...
31.986159
83
0.609801
1,051
9,244
5.249286
0.253092
0.027551
0.032626
0.025014
0.344571
0.321914
0.295813
0.25358
0.217147
0.217147
0
0.019081
0.291324
9,244
288
84
32.097222
0.82308
0.268066
0
0.434286
0
0
0.095877
0.012478
0
0
0
0
0
1
0.051429
false
0
0.005714
0.005714
0.205714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810a45957301a3d3e19c056d8cdd8e9cf5349711
1,690
py
Python
rubra/cmdline_args.py
scwatts/rubra
0be2c1e8d56badf134954baab9705f3aeb38d426
[ "MIT" ]
14
2015-04-13T04:10:43.000Z
2022-03-28T08:42:43.000Z
rubra/cmdline_args.py
afcarl/rubra
82905bbbd7077d201363b96ffbbc78c099095764
[ "MIT" ]
3
2016-12-27T17:24:04.000Z
2018-12-21T17:43:36.000Z
rubra/cmdline_args.py
afcarl/rubra
82905bbbd7077d201363b96ffbbc78c099095764
[ "MIT" ]
9
2015-04-29T03:00:16.000Z
2020-01-30T00:56:52.000Z
# Process the unix command line of the pipeline. import argparse from version import rubra_version def get_cmdline_args(): return parser.parse_args() parser = argparse.ArgumentParser( description='A bioinformatics pipeline system.') parser.add_argument( 'pipeline', metavar='PIPELINE_FILE', type=...
26.825397
84
0.657396
203
1,690
5.399015
0.463054
0.065693
0.124088
0.040146
0.063869
0.063869
0
0
0
0
0
0.005966
0.206509
1,690
62
85
27.258065
0.811335
0.027219
0
0.403509
0
0
0.289281
0
0
0
0
0
0
1
0.017544
false
0
0.035088
0.017544
0.070175
0.052632
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810b6e9e54a3c45eed3b42ac6920a9d12535f63c
6,579
py
Python
PyTradier/data.py
zlopez101/PyTradier
83397cf38bd636c471993b57fb71a12885affcb7
[ "MIT" ]
1
2021-04-30T23:59:20.000Z
2021-04-30T23:59:20.000Z
PyTradier/data.py
zlopez101/PyTradier
83397cf38bd636c471993b57fb71a12885affcb7
[ "MIT" ]
7
2021-05-08T00:47:59.000Z
2021-05-12T01:45:37.000Z
PyTradier/data.py
zlopez101/PyTradier
83397cf38bd636c471993b57fb71a12885affcb7
[ "MIT" ]
null
null
null
from PyTradier.base import BasePyTradier from typing import Union from datetime import datetime class MarketData(BasePyTradier): """All Methods currently only support string API calls, no datetime, bools, etc """ def quotes(self, symbols: Union[str, list], greeks: bool = False) -> dict: """Get a ...
42.173077
289
0.637635
815
6,579
5.10184
0.28589
0.023088
0.015152
0.026936
0.345358
0.303271
0.294372
0.181578
0.1633
0.140212
0
0.006038
0.26995
6,579
155
290
42.445161
0.859671
0.577899
0
0.274194
0
0
0.106649
0.058456
0
0
0
0
0
1
0.112903
false
0
0.064516
0
0.306452
0.032258
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810c05c71eb3fa5c73eabbeb8e2c1122faa7ac10
3,528
py
Python
joulescope_ui/meter_widget.py
Axel-Jacobsen/pyjoulescope_ui
7d296b1ead0d36c6524dc399372f7888a340e9fa
[ "Apache-2.0" ]
1
2019-08-08T21:10:26.000Z
2019-08-08T21:10:26.000Z
joulescope_ui/meter_widget.py
Axel-Jacobsen/pyjoulescope_ui
7d296b1ead0d36c6524dc399372f7888a340e9fa
[ "Apache-2.0" ]
null
null
null
joulescope_ui/meter_widget.py
Axel-Jacobsen/pyjoulescope_ui
7d296b1ead0d36c6524dc399372f7888a340e9fa
[ "Apache-2.0" ]
null
null
null
# Copyright 2018 Jetperch LLC # # 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,...
40.090909
122
0.693311
385
3,528
6.264935
0.425974
0.033168
0.026119
0.013267
0.067993
0
0
0
0
0
0
0.007379
0.193311
3,528
87
123
40.551724
0.840126
0.178571
0
0
0
0
0.089417
0
0
0
0
0
0
1
0.071429
false
0
0.071429
0
0.160714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810c343fb0a1f912fe6668116ca4d1081009f872
7,677
py
Python
rpyc/core/service.py
bbonf/rpyc
2c66dd6936a0d9e6e36c1ba0cda1139676acf95c
[ "MIT" ]
null
null
null
rpyc/core/service.py
bbonf/rpyc
2c66dd6936a0d9e6e36c1ba0cda1139676acf95c
[ "MIT" ]
null
null
null
rpyc/core/service.py
bbonf/rpyc
2c66dd6936a0d9e6e36c1ba0cda1139676acf95c
[ "MIT" ]
null
null
null
""" Services are the heart of RPyC: each side of the connection exposes a *service*, which define the capabilities available to the other side. Note that the services by both parties need not be symmetric, e.g., one side may exposed *service A*, while the other may expose *service B*. As long as the two can interopera...
34.426009
86
0.64804
917
7,677
5.237732
0.2988
0.022902
0.021237
0.009994
0.096814
0.082657
0.060379
0.034145
0.034145
0.034145
0
0.001753
0.256871
7,677
222
87
34.581081
0.84014
0.441188
0
0.13913
0
0
0.019369
0
0
0
0
0
0
1
0.165217
false
0.017391
0.069565
0.008696
0.565217
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
810e20d4bc8d21dc6f3aae023a1133ca2d856392
1,218
py
Python
test/workload/tpch_loop_workload_test.py
ChenYi015/Raven
e732e03f8dd118ed805a143fc6916f0e5fc53c2c
[ "Apache-2.0" ]
1
2022-03-03T05:54:25.000Z
2022-03-03T05:54:25.000Z
test/workload/tpch_loop_workload_test.py
ChenYi015/Raven
e732e03f8dd118ed805a143fc6916f0e5fc53c2c
[ "Apache-2.0" ]
null
null
null
test/workload/tpch_loop_workload_test.py
ChenYi015/Raven
e732e03f8dd118ed805a143fc6916f0e5fc53c2c
[ "Apache-2.0" ]
null
null
null
# Copyright 2021 Raven Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...
26.478261
74
0.705255
157
1,218
5.363057
0.592357
0.071259
0.030879
0.038005
0
0
0
0
0
0
0
0.008359
0.214286
1,218
45
75
27.066667
0.871473
0.46798
0
0.086957
0
0
0.053628
0
0
0
0
0
0
1
0.043478
false
0
0.130435
0
0.173913
0.26087
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8111119b844622ccdb3004ede98c4e13a46f452c
398
py
Python
api/tests/ver1/test_base.py
codacy-badger/politico-api
10d926bf34f12631cb19bb9c82ccded36557c790
[ "MIT" ]
null
null
null
api/tests/ver1/test_base.py
codacy-badger/politico-api
10d926bf34f12631cb19bb9c82ccded36557c790
[ "MIT" ]
null
null
null
api/tests/ver1/test_base.py
codacy-badger/politico-api
10d926bf34f12631cb19bb9c82ccded36557c790
[ "MIT" ]
null
null
null
import unittest from api import create_app class TestBase(unittest.TestCase): """Default super class for api ver 1 tests""" # setup testing def setUp(self): self.app = create_app('testing') self.client = self.app.test_client() self.item_list = [] # deconstructs test elements ...
23.411765
49
0.640704
51
398
4.901961
0.54902
0.084
0.088
0
0
0
0
0
0
0
0
0.00339
0.258794
398
16
50
24.875
0.844068
0.203518
0
0
0
0
0.022581
0
0
0
0
0
0
1
0.2
false
0
0.2
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81118158b2fe646b1e3b2899f2e0b74a521117c9
3,234
py
Python
alipay/aop/api/domain/MetroOdItem.py
antopen/alipay-sdk-python-all
8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c
[ "Apache-2.0" ]
213
2018-08-27T16:49:32.000Z
2021-12-29T04:34:12.000Z
alipay/aop/api/domain/MetroOdItem.py
antopen/alipay-sdk-python-all
8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c
[ "Apache-2.0" ]
29
2018-09-29T06:43:00.000Z
2021-09-02T03:27:32.000Z
alipay/aop/api/domain/MetroOdItem.py
antopen/alipay-sdk-python-all
8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c
[ "Apache-2.0" ]
59
2018-08-27T16:59:26.000Z
2022-03-25T10:08:15.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * from alipay.aop.api.domain.CloudbusUserInfo import CloudbusUserInfo class MetroOdItem(object): def __init__(self): self._dest_geo = None self._od = None self._time = None ...
26.95
70
0.548856
421
3,234
3.945368
0.114014
0.077062
0.093919
0.065021
0.267911
0.216135
0
0
0
0
0
0.000471
0.343847
3,234
119
71
27.176471
0.782281
0.012987
0
0.128713
0
0
0.072773
0
0
0
0
0
0
1
0.148515
false
0
0.029703
0.059406
0.277228
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
811909fd3d9bc00f5888c3293282a4df3cefdd8c
14,970
py
Python
extras/python/fogbench/__main__.py
foglamp/FogLAMP
918dff88b440e6ad580efdaa5f0fbdf4143a73d4
[ "Apache-2.0" ]
65
2017-05-15T21:55:04.000Z
2022-01-19T01:30:42.000Z
extras/python/fogbench/__main__.py
foglamp/FogLAMP
918dff88b440e6ad580efdaa5f0fbdf4143a73d4
[ "Apache-2.0" ]
576
2017-05-22T05:41:07.000Z
2020-02-13T07:48:58.000Z
extras/python/fogbench/__main__.py
foglamp/FogLAMP
918dff88b440e6ad580efdaa5f0fbdf4143a73d4
[ "Apache-2.0" ]
52
2017-05-09T22:45:47.000Z
2022-03-10T18:49:02.000Z
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # FOGLAMP_BEGIN # See: http://foglamp.readthedocs.io/ # FOGLAMP_END """ fogbench -- a Python script used to test FogLAMP. The objective is to simulate payloads for input, REST and other requests against one or more FogLAMP instances. This version of fogbench is meant ...
36.601467
122
0.638277
1,919
14,970
4.763418
0.205315
0.019692
0.020457
0.013128
0.213215
0.159611
0.118696
0.086314
0.082923
0.05076
0
0.026688
0.234068
14,970
408
123
36.691176
0.770539
0.167001
0
0.102439
0
0
0.169304
0.002327
0
0
0
0.004902
0
1
0.039024
false
0
0.068293
0
0.146341
0.029268
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81197e9fdd38be14f8210f08e7cec2020796f260
19,888
py
Python
qiskit/ignis/mitigation/measurement/filters.py
paulineollitrault/qiskit-ignis
99f24ea6533cd284be4c44a48d43e54f62f05674
[ "Apache-2.0" ]
182
2019-02-19T22:52:42.000Z
2022-02-28T05:48:07.000Z
qiskit/ignis/mitigation/measurement/filters.py
paulineollitrault/qiskit-ignis
99f24ea6533cd284be4c44a48d43e54f62f05674
[ "Apache-2.0" ]
384
2019-02-19T21:30:18.000Z
2021-12-02T21:13:34.000Z
qiskit/ignis/mitigation/measurement/filters.py
paulineollitrault/qiskit-ignis
99f24ea6533cd284be4c44a48d43e54f62f05674
[ "Apache-2.0" ]
203
2019-02-19T21:06:27.000Z
2022-03-02T14:16:50.000Z
# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2019. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modif...
40.422764
100
0.569389
2,404
19,888
4.493344
0.158486
0.022033
0.026662
0.013886
0.455934
0.408998
0.374097
0.288002
0.233753
0.233753
0
0.012043
0.352826
19,888
491
101
40.505092
0.827208
0.332864
0
0.336032
0
0
0.031934
0
0
0
0
0.002037
0
1
0.080972
false
0
0.036437
0.004049
0.190283
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
811bbfb3266a619b867f934c6f82a6ecb7783e88
111,660
py
Python
pymatgen/analysis/graphs.py
Roy027/pymatgen
a4aa91d011033c1151b82335abd080e2b1a310d5
[ "MIT" ]
null
null
null
pymatgen/analysis/graphs.py
Roy027/pymatgen
a4aa91d011033c1151b82335abd080e2b1a310d5
[ "MIT" ]
null
null
null
pymatgen/analysis/graphs.py
Roy027/pymatgen
a4aa91d011033c1151b82335abd080e2b1a310d5
[ "MIT" ]
null
null
null
# coding: utf-8 # Copyright (c) Pymatgen Development Team. # Distributed under the terms of the MIT License. """ Module for graph representations of crystals. """ import copy import logging import os.path import subprocess import warnings from collections import defaultdict, namedtuple from itertools import combinati...
37.748479
118
0.579393
13,644
111,660
4.59528
0.079962
0.003445
0.010144
0.013015
0.679033
0.65538
0.635299
0.623082
0.608074
0.597068
0
0.006777
0.33791
111,660
2,957
119
37.761245
0.841307
0.33225
0
0.573937
0
0
0.062088
0
0
0
0
0.001015
0
1
0.049966
false
0.000675
0.01553
0.002701
0.113437
0.004051
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
811c0a3b1e48996b84a2d4750219f62c35f29d83
1,064
py
Python
articles/views.py
Ahmed-skb/blogyfy
2cfa3d9503f1846ccd89c2bf1934293eb97ad44a
[ "MIT" ]
null
null
null
articles/views.py
Ahmed-skb/blogyfy
2cfa3d9503f1846ccd89c2bf1934293eb97ad44a
[ "MIT" ]
null
null
null
articles/views.py
Ahmed-skb/blogyfy
2cfa3d9503f1846ccd89c2bf1934293eb97ad44a
[ "MIT" ]
null
null
null
from django.shortcuts import render, redirect from django.http import HttpResponse from .models import Article from django.contrib.auth.decorators import login_required from . import forms def Articles(request): articles = Article.objects.all().order_by('date') return render(request, 'articles/article_list.htm...
34.322581
81
0.693609
125
1,064
5.824
0.408
0.082418
0.120879
0.111264
0.14011
0
0
0
0
0
0
0
0.190789
1,064
30
82
35.466667
0.845528
0.041353
0
0
0
0
0.135693
0.081613
0
0
0
0
0
1
0.130435
false
0
0.217391
0
0.521739
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8120aa4d76824186b0ed660869921ca64f9eaede
667
py
Python
wsgi.py
javicacheiro/salt-git-synchronizer-proxy
c93de5c0b26afe2b9ec72156497894df7f15d692
[ "Apache-2.0" ]
null
null
null
wsgi.py
javicacheiro/salt-git-synchronizer-proxy
c93de5c0b26afe2b9ec72156497894df7f15d692
[ "Apache-2.0" ]
null
null
null
wsgi.py
javicacheiro/salt-git-synchronizer-proxy
c93de5c0b26afe2b9ec72156497894df7f15d692
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python import logging import sys from app import app as application def setup_flask_logging(): # Log to stdout handler = logging.StreamHandler(sys.stdout) # Log to a file #handler = logging.FileHandler('./application.log') handler.setLevel(logging.INFO) handler.setFormatter(logg...
24.703704
64
0.721139
84
667
5.583333
0.583333
0.042644
0.072495
0
0
0
0
0
0
0
0
0
0.169415
667
26
65
25.653846
0.84657
0.290855
0
0
0
0
0.132762
0
0
0
0
0
0
1
0.071429
false
0
0.214286
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81229a54be34a90af845ce0b0f142321ea5ad691
11,115
py
Python
youtube_dl/extractor/turner.py
jonyg80/youtube-dl
ef3a87fb77891329de1d3dbebfee53bf50645261
[ "Unlicense" ]
66,635
2019-03-10T21:34:18.000Z
2022-03-31T23:50:31.000Z
youtube_dl/extractor/turner.py
jonyg80/youtube-dl
ef3a87fb77891329de1d3dbebfee53bf50645261
[ "Unlicense" ]
10,936
2019-03-10T21:35:47.000Z
2022-03-31T23:46:52.000Z
youtube_dl/extractor/turner.py
jonyg80/youtube-dl
ef3a87fb77891329de1d3dbebfee53bf50645261
[ "Unlicense" ]
15,194
2019-03-10T21:09:27.000Z
2022-03-31T22:13:49.000Z
# coding: utf-8 from __future__ import unicode_literals import re from .adobepass import AdobePassIE from ..compat import compat_str from ..utils import ( fix_xml_ampersands, xpath_text, int_or_none, determine_ext, float_or_none, parse_duration, xpath_attr, update_url_query, Extrac...
42.586207
134
0.506163
1,173
11,115
4.499574
0.197783
0.045472
0.03183
0.040925
0.14172
0.056461
0.034862
0.025009
0
0
0
0.007947
0.377328
11,115
260
135
42.75
0.75466
0.087449
0
0.171296
0
0.00463
0.106288
0.011568
0
0
0
0.003846
0
1
0.018519
false
0.009259
0.023148
0.00463
0.078704
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81231c1bf7b40bb3a00ed96fce4e7257f1de32c5
1,188
py
Python
ml/sandbox/00-data.py
robk-dev/algo-trading
aa8d76ee739431ab24407fe094e0753c588dc8c6
[ "MIT" ]
1
2021-03-14T23:52:04.000Z
2021-03-14T23:52:04.000Z
ml/sandbox/00-data.py
robk-dev/algo-trading
aa8d76ee739431ab24407fe094e0753c588dc8c6
[ "MIT" ]
null
null
null
ml/sandbox/00-data.py
robk-dev/algo-trading
aa8d76ee739431ab24407fe094e0753c588dc8c6
[ "MIT" ]
null
null
null
from alpha_vantage.timeseries import TimeSeries from pprint import pprint import json import argparse def save_dataset(symbol='MSFT', time_window='daily_adj'): credentials = json.load(open('creds.json', 'r')) api_key = credentials['av_api_key'] print(symbol, time_window) ts = TimeSeries(key=api_key, o...
34.941176
125
0.683502
156
1,188
4.961538
0.435897
0.090439
0.05814
0.054264
0.164083
0.142119
0
0
0
0
0
0.003099
0.185185
1,188
33
126
36
0.796488
0
0
0
0
0
0.208754
0.023569
0
0
0
0
0
1
0.04
false
0
0.16
0
0.2
0.12
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8123847da358e93698586a58b0a106958f59df07
12,570
py
Python
tests/zpill.py
al3pht/cloud-custodian
ce6613d1b716f336384c5e308eee300389e6bf50
[ "Apache-2.0" ]
2,415
2018-12-04T00:37:58.000Z
2022-03-31T12:28:56.000Z
tests/zpill.py
al3pht/cloud-custodian
ce6613d1b716f336384c5e308eee300389e6bf50
[ "Apache-2.0" ]
3,272
2018-12-03T23:58:17.000Z
2022-03-31T21:15:32.000Z
tests/zpill.py
al3pht/cloud-custodian
ce6613d1b716f336384c5e308eee300389e6bf50
[ "Apache-2.0" ]
773
2018-12-06T09:43:23.000Z
2022-03-30T20:44:43.000Z
# Copyright The Cloud Custodian Authors. # SPDX-License-Identifier: Apache-2.0 import fnmatch from io import StringIO import json import os import shutil import zipfile import re from datetime import datetime, timedelta, tzinfo from distutils.util import strtobool import boto3 import placebo from botocore.response imp...
33.699732
93
0.605091
1,510
12,570
4.872848
0.235099
0.014678
0.012232
0.011416
0.249796
0.194618
0.184697
0.143789
0.098396
0.098396
0
0.005536
0.281464
12,570
372
94
33.790323
0.809123
0.127765
0
0.155642
0
0
0.058994
0
0
0
0
0
0.003891
1
0.093385
false
0.003891
0.058366
0.015564
0.291829
0.007782
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8124c6b98bb9251fb25a500d047b7426b2a988cd
2,721
py
Python
ccg/supertagger/any2int.py
stanojevic/ccgtools
d87521d66fcd1b3110fbecc6b78b15a60e5095a3
[ "MIT" ]
null
null
null
ccg/supertagger/any2int.py
stanojevic/ccgtools
d87521d66fcd1b3110fbecc6b78b15a60e5095a3
[ "MIT" ]
null
null
null
ccg/supertagger/any2int.py
stanojevic/ccgtools
d87521d66fcd1b3110fbecc6b78b15a60e5095a3
[ "MIT" ]
null
null
null
class Any2Int: def __init__(self, min_count: int, include_UNK: bool, include_PAD: bool): self.min_count = min_count self.include_UNK = include_UNK self.include_PAD = include_PAD self.frozen = False self.UNK_i = -1 self.UNK_s = "<UNK>" self.PAD_i = -2 ...
30.573034
118
0.529585
373
2,721
3.646113
0.19571
0.061765
0.061765
0.039706
0.172794
0.060294
0.060294
0.041176
0
0
0
0.02926
0.359427
2,721
88
119
30.920455
0.751004
0
0
0.146667
0
0
0.037882
0
0
0
0
0
0.053333
1
0.146667
false
0
0
0.053333
0.28
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812522326c06afbf43f1bd6cee31bd8b7b273277
6,805
py
Python
app/sensor.py
sosprz/nettemp
334b3124263267c931bd7dc5c1bd8eb70614b4ef
[ "MIT" ]
51
2015-01-03T01:37:25.000Z
2021-11-03T18:07:42.000Z
app/sensor.py
sosprz/nettemp
334b3124263267c931bd7dc5c1bd8eb70614b4ef
[ "MIT" ]
18
2015-03-06T18:46:51.000Z
2021-04-02T08:02:01.000Z
app/sensor.py
sosprz/nettemp
334b3124263267c931bd7dc5c1bd8eb70614b4ef
[ "MIT" ]
51
2015-02-04T18:53:54.000Z
2022-02-16T20:40:45.000Z
from app import app from flask import Flask, request, jsonify, g import sqlite3 import os import json from random import randint from flask_jwt_extended import jwt_required import datetime from flask_mysqldb import MySQL mysql = MySQL() def get_db(rom): db = getattr(g, '_database', None) if db is None: ...
27.439516
246
0.603527
1,032
6,805
3.898256
0.175388
0.029828
0.022371
0.023863
0.429779
0.331842
0.311956
0.272931
0.216008
0.209545
0
0.020147
0.24144
6,805
247
247
27.550607
0.759202
0.001763
0
0.306977
0
0.027907
0.288218
0.02651
0
0
0
0
0
1
0.055814
false
0
0.04186
0
0.162791
0.055814
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81265c7215ed57cef680d0ec0a27f1c4d35a191a
5,340
bzl
Python
tao_compiler/mlir/disc/tests/glob_op_test.bzl
JamesTheZ/BladeDISC
e6c76ee557ebfccd560d44f6b6276bbc4e0a8a34
[ "Apache-2.0" ]
328
2021-12-20T03:29:35.000Z
2022-03-31T14:27:23.000Z
tao_compiler/mlir/disc/tests/glob_op_test.bzl
JamesTheZ/BladeDISC
e6c76ee557ebfccd560d44f6b6276bbc4e0a8a34
[ "Apache-2.0" ]
82
2021-12-20T09:15:16.000Z
2022-03-31T09:33:48.000Z
tao_compiler/mlir/disc/tests/glob_op_test.bzl
JamesTheZ/BladeDISC
e6c76ee557ebfccd560d44f6b6276bbc4e0a8a34
[ "Apache-2.0" ]
66
2021-12-21T17:28:27.000Z
2022-03-29T12:08:34.000Z
# Test definitions for Lit, the LLVM test runner. # # This is reusing the LLVM Lit test runner in the interim until the new build # rules are upstreamed. # TODO(b/136126535): remove this custom rule. """Lit runner globbing test """ load("//tensorflow:tensorflow.bzl", "filegroup") load("@bazel_skylib//lib:paths.bzl", "...
35.364238
94
0.639888
710
5,340
4.659155
0.257746
0.023277
0.018138
0.033857
0.303204
0.250302
0.219166
0.194982
0.178658
0.178658
0
0.002764
0.254682
5,340
150
95
35.6
0.828392
0.494757
0
0.131579
0
0
0.209729
0.14673
0
0
0
0.006667
0
1
0.039474
false
0
0
0
0.039474
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812723d2076c258aebc37a64fed06e3f495c2735
2,181
py
Python
build-scripts/PackageCheckHelpers.py
yulicrunchy/JALoP
a474b464d4916fe559cf1df97c855232e5ec24ab
[ "Apache-2.0" ]
4
2016-01-18T20:49:23.000Z
2020-03-04T22:23:57.000Z
build-scripts/PackageCheckHelpers.py
yulicrunchy/JALoP
a474b464d4916fe559cf1df97c855232e5ec24ab
[ "Apache-2.0" ]
2
2019-09-23T21:04:25.000Z
2020-01-31T18:10:17.000Z
build-scripts/PackageCheckHelpers.py
yulicrunchy/JALoP
a474b464d4916fe559cf1df97c855232e5ec24ab
[ "Apache-2.0" ]
2
2021-04-01T20:53:12.000Z
2021-04-01T21:10:53.000Z
""" These are functions to add to the configure context. """ def __checkCanLink(context, source, source_type, message_libname, real_libs=[]): """ Check that source can be successfully compiled and linked against real_libs. Keyword arguments: source -- source to try to compile source_type -- type of source file, ...
22.484536
80
0.710683
305
2,181
4.914754
0.386885
0.032021
0.044029
0.050033
0.108072
0.042695
0.042695
0
0
0
0
0.028108
0.151765
2,181
96
81
22.71875
0.782162
0.214122
0
0.323944
0
0
0.453271
0.029206
0
0
0.01986
0
0
1
0.070423
false
0
0
0.028169
0.183099
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81290326c9beb0af3fd98f2bdd52b65974d13cd3
12,950
py
Python
src/transformers/modeling_tf_pytorch_utils.py
ari-holtzman/transformers
8725c545e8feeecdcee0ad92ca1d80cee8f0c6e4
[ "Apache-2.0" ]
5,129
2019-09-30T11:21:03.000Z
2022-03-31T22:35:12.000Z
src/transformers/modeling_tf_pytorch_utils.py
ari-holtzman/transformers
8725c545e8feeecdcee0ad92ca1d80cee8f0c6e4
[ "Apache-2.0" ]
604
2019-10-05T00:39:46.000Z
2022-03-31T11:12:07.000Z
src/transformers/modeling_tf_pytorch_utils.py
ari-holtzman/transformers
8725c545e8feeecdcee0ad92ca1d80cee8f0c6e4
[ "Apache-2.0" ]
1,034
2019-09-30T15:01:32.000Z
2022-03-31T06:14:50.000Z
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a cop...
39.242424
155
0.680386
1,848
12,950
4.50487
0.164502
0.019459
0.008168
0.025105
0.537538
0.471351
0.429429
0.416697
0.386306
0.348108
0
0.015574
0.226486
12,950
329
156
39.361702
0.815514
0.252046
0
0.352041
0
0.020408
0.139281
0
0
0
0
0.00304
0.020408
1
0.035714
false
0
0.091837
0
0.163265
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81292f7ed0f85cfcaaa5e1e9abfd5ae7b048469d
4,906
py
Python
hail/python/test/hail/helpers.py
mitochon/hail
25e5e5b8da1d978468d2cee393426ade46484a87
[ "MIT" ]
null
null
null
hail/python/test/hail/helpers.py
mitochon/hail
25e5e5b8da1d978468d2cee393426ade46484a87
[ "MIT" ]
3
2017-06-16T18:10:45.000Z
2017-07-21T17:44:13.000Z
hail/python/test/hail/helpers.py
mitochon/hail
25e5e5b8da1d978468d2cee393426ade46484a87
[ "MIT" ]
2
2018-01-30T00:50:52.000Z
2018-03-22T20:04:01.000Z
import os from timeit import default_timer as timer import unittest import pytest from decorator import decorator from hail.utils.java import Env import hail as hl from hail.backend.local_backend import LocalBackend _initialized = False def startTestHailContext(): global _initialized if not _initialized: ...
28.858824
92
0.637994
695
4,906
4.28777
0.305036
0.048322
0.026846
0.031879
0.239597
0.192953
0.119463
0.119463
0.085906
0.085906
0
0.019362
0.220954
4,906
170
93
28.858824
0.760335
0.004077
0
0.167939
0
0
0.068577
0.013306
0
0
0
0
0.038168
1
0.160305
false
0.007634
0.076336
0.045802
0.389313
0.007634
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812941051eea955290efb0cfdb0e29b4664e5ad1
2,728
py
Python
src/entity_linker/models/figer_model/labeling_model.py
mjstrobl/WEXEA
0af0be1cdb93fc00cd81f885aa15ef8d6579b304
[ "Apache-2.0" ]
10
2020-06-14T15:46:53.000Z
2021-04-29T15:02:23.000Z
src/entity_linker/models/figer_model/labeling_model.py
mjstrobl/WEXEA
0af0be1cdb93fc00cd81f885aa15ef8d6579b304
[ "Apache-2.0" ]
3
2021-08-25T16:16:45.000Z
2022-02-10T04:29:10.000Z
src/entity_linker/models/figer_model/labeling_model.py
mjstrobl/WEXEA
0af0be1cdb93fc00cd81f885aa15ef8d6579b304
[ "Apache-2.0" ]
1
2021-02-17T17:44:06.000Z
2021-02-17T17:44:06.000Z
""" Modifications copyright (C) 2020 Michael Strobl """ import time import tensorflow as tf import numpy as np from entity_linker.models.base import Model class LabelingModel(Model): """Unsupervised Clustering using Discrete-State VAE""" def __init__(self, batch_size, num_labels, context_encoded_dim, ...
40.716418
92
0.615836
328
2,728
4.777439
0.295732
0.051691
0.033184
0.051053
0.48947
0.486918
0.44097
0.35418
0.35418
0.303127
0
0.012061
0.300953
2,728
66
93
41.333333
0.809649
0.079179
0
0.227273
0
0
0.028869
0
0
0
0
0
0
1
0.045455
false
0
0.090909
0
0.159091
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812a80140e19ea007dd9ab25b6b57d63cc6eb659
2,425
py
Python
examples/text_classification/yelp_reviews_polarity/train.py
liorshk/simpletransformers
226cf4d11edf5157c1beafcc44aaa78f65ccc985
[ "Apache-2.0" ]
3,151
2019-10-05T11:14:44.000Z
2022-03-31T17:02:54.000Z
examples/text_classification/yelp_reviews_polarity/train.py
liorshk/simpletransformers
226cf4d11edf5157c1beafcc44aaa78f65ccc985
[ "Apache-2.0" ]
1,165
2019-10-05T14:48:55.000Z
2022-03-31T11:12:58.000Z
examples/text_classification/yelp_reviews_polarity/train.py
liorshk/simpletransformers
226cf4d11edf5157c1beafcc44aaa78f65ccc985
[ "Apache-2.0" ]
739
2019-10-06T15:11:54.000Z
2022-03-28T11:07:36.000Z
import sys import pandas as pd from simpletransformers.classification import ClassificationModel prefix = "data/" train_df = pd.read_csv(prefix + "train.csv", header=None) train_df.head() eval_df = pd.read_csv(prefix + "test.csv", header=None) eval_df.head() train_df[0] = (train_df[0] == 2).astype(int) eval_df[0]...
25.260417
80
0.68701
327
2,425
4.795107
0.327217
0.086097
0.049745
0.014031
0.234056
0.144133
0.119898
0.034439
0
0
0
0.014293
0.163299
2,425
95
81
25.526316
0.758502
0.124124
0
0.034483
0
0
0.325747
0.1266
0
0
0
0
0
1
0
false
0
0.051724
0
0.051724
0.034483
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812bc4e483e6787a26d9b7a22c0e31832c78af55
5,853
py
Python
mayan/apps/document_signatures/models.py
wan1869/dushuhu
934dd178e67140cffc6b9203e793fdf8bbc73a54
[ "Apache-2.0" ]
null
null
null
mayan/apps/document_signatures/models.py
wan1869/dushuhu
934dd178e67140cffc6b9203e793fdf8bbc73a54
[ "Apache-2.0" ]
null
null
null
mayan/apps/document_signatures/models.py
wan1869/dushuhu
934dd178e67140cffc6b9203e793fdf8bbc73a54
[ "Apache-2.0" ]
1
2021-04-30T09:44:14.000Z
2021-04-30T09:44:14.000Z
import logging import uuid from django.db import models from django.urls import reverse from django.utils.encoding import force_text from django.utils.translation import ugettext_lazy as _ from model_utils.managers import InheritanceManager from mayan.apps.django_gpg.exceptions import VerificationError from mayan.ap...
34.02907
79
0.651973
655
5,853
5.607634
0.253435
0.016335
0.032399
0.028315
0.350667
0.280697
0.194936
0.172066
0.142663
0.142663
0
0.002323
0.26448
5,853
171
80
34.22807
0.850871
0.07415
0
0.24
0
0
0.113839
0.008371
0
0
0
0
0
1
0.088
false
0
0.104
0.048
0.4
0.048
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812c3f30e6e3ff5facc02e59cfdcff8d05e984ea
2,226
py
Python
scripts/sync_reports_config.py
ramezrawas/galaxy-1
c03748dd49c060a68d07bce56eae33e0ba154414
[ "CC-BY-3.0" ]
6
2018-11-03T22:43:35.000Z
2022-02-15T17:51:33.000Z
scripts/sync_reports_config.py
igorhollaender/OBSOLETE_sirv_dashboard
85aec60b80ef6f561d89398e3da5963d3d0f2aa4
[ "CC-BY-3.0" ]
7
2016-12-07T22:19:37.000Z
2019-01-30T15:04:26.000Z
scripts/sync_reports_config.py
igorhollaender/OBSOLETE_sirv_dashboard
85aec60b80ef6f561d89398e3da5963d3d0f2aa4
[ "CC-BY-3.0" ]
10
2017-04-10T21:40:22.000Z
2022-02-21T16:50:10.000Z
from ConfigParser import ConfigParser from sys import argv REPLACE_PROPERTIES = ["file_path", "database_connection", "new_file_path"] MAIN_SECTION = "app:main" def sync(): # Add or replace the relevant properites from galaxy.ini # into reports.ini reports_config_file = "config/reports.ini" if len(arg...
35.903226
88
0.700359
271
2,226
5.439114
0.280443
0.079376
0.046133
0.016282
0.191316
0.111262
0.058345
0
0
0
0
0.002326
0.227314
2,226
61
89
36.491803
0.854651
0.13522
0
0.05
0
0
0.052714
0
0
0
0
0
0
1
0.075
false
0
0.05
0.025
0.175
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812e0d88c6e6c1e7a35a42781edb6b394196778c
3,838
py
Python
models/utils.py
wyshi/Unsupervised-Structure-Learning
19b49320b46e5f7d990ab9e5b3054b331b86e59d
[ "Apache-2.0" ]
34
2019-06-25T06:21:03.000Z
2022-01-24T06:57:40.000Z
models/utils.py
wyshi/Unsupervised-Structure-Learning
19b49320b46e5f7d990ab9e5b3054b331b86e59d
[ "Apache-2.0" ]
3
2019-07-19T02:33:03.000Z
2021-11-03T09:06:25.000Z
models/utils.py
wyshi/Unsupervised-Structure-Learning
19b49320b46e5f7d990ab9e5b3054b331b86e59d
[ "Apache-2.0" ]
4
2019-06-25T06:46:12.000Z
2021-01-13T06:57:06.000Z
# Original work Copyright (C) 2017 Tiancheng Zhao, Carnegie Mellon University # Modified work Copyright 2018 Weiyan Shi. import tensorflow as tf import numpy as np from nltk.translate.bleu_score import sentence_bleu from nltk.translate.bleu_score import SmoothingFunction def get_bleu_stats(ref, hyps): scores = [...
38
132
0.680823
545
3,838
4.594495
0.26789
0.059904
0.040735
0.043131
0.461661
0.414137
0.357428
0.357428
0.357428
0.316693
0
0.018158
0.210787
3,838
101
133
38
0.808518
0.163366
0
0.145455
0
0
0.011316
0
0
0
0
0
0
1
0.163636
false
0
0.072727
0.018182
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812eae9e0a007577935e4a756403808aa1018593
4,927
py
Python
gluoncv/data/transforms/block.py
Kh4L/gluon-cv
849411ed56632cd854850b07142087d599f97dcb
[ "Apache-2.0" ]
5,447
2018-04-25T18:02:51.000Z
2022-03-31T00:59:49.000Z
gluoncv/data/transforms/block.py
Kh4L/gluon-cv
849411ed56632cd854850b07142087d599f97dcb
[ "Apache-2.0" ]
1,566
2018-04-25T21:14:04.000Z
2022-03-31T06:42:42.000Z
gluoncv/data/transforms/block.py
Kh4L/gluon-cv
849411ed56632cd854850b07142087d599f97dcb
[ "Apache-2.0" ]
1,345
2018-04-25T18:44:13.000Z
2022-03-30T19:32:53.000Z
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
36.496296
99
0.628983
698
4,927
4.363897
0.30659
0.009192
0.024622
0.031188
0.238017
0.205187
0.195666
0.150361
0.122127
0.122127
0
0.017699
0.266085
4,927
134
100
36.768657
0.824668
0.470672
0
0.160714
0
0
0.076766
0
0
0
0
0
0
1
0.071429
false
0
0.089286
0
0.267857
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
812fdf7c80ff79f192233383d15152b1c334cad3
3,631
py
Python
explore.py
lribiere/explore-mit-bih-arrhythmia-db
44eb2601ed437cb9766ae9cfd3c3553bf108d4f1
[ "MIT" ]
3
2020-02-26T20:01:11.000Z
2020-06-24T17:44:11.000Z
explore.py
lribiere/explore-mit-bih-arrhythmia-db
44eb2601ed437cb9766ae9cfd3c3553bf108d4f1
[ "MIT" ]
2
2020-07-01T09:38:58.000Z
2020-07-01T09:40:02.000Z
explore.py
lribiere/explore-mit-bih-arrhythmia-db
44eb2601ed437cb9766ae9cfd3c3553bf108d4f1
[ "MIT" ]
null
null
null
import plotly.graph_objects as go import streamlit as st import pandas as pd from utils import * import glob import wfdb import os ANNOTATIONS_COL_NAME = 'annotations' ''' # MIT-BIH Arrhythmia DB Exploration ''' record_ids = [os.path.basename(file)[:-4] for file in glob.glob('data/*.dat')] if len(record_ids) == 0: ...
44.82716
79
0.619664
457
3,631
4.722101
0.334792
0.029194
0.041705
0.026413
0.078777
0.059314
0.059314
0.029657
0.029657
0
0
0.001113
0.25778
3,631
80
80
45.3875
0.799629
0.016524
0
0.030303
0
0
0.255184
0.024482
0
0
0
0
0
1
0
false
0
0.106061
0
0.106061
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81353ee4f1a632a7e8022d2ce8c431b95559fb7b
12,262
py
Python
traitarm/reconstruction/visualize_recon.py
hzi-bifo/Model-T
197b52f6fe9b73e0411dbfc66f6d2a43081f5697
[ "Apache-2.0" ]
1
2021-04-07T16:10:55.000Z
2021-04-07T16:10:55.000Z
traitarm/reconstruction/visualize_recon.py
hzi-bifo/Model-T
197b52f6fe9b73e0411dbfc66f6d2a43081f5697
[ "Apache-2.0" ]
null
null
null
traitarm/reconstruction/visualize_recon.py
hzi-bifo/Model-T
197b52f6fe9b73e0411dbfc66f6d2a43081f5697
[ "Apache-2.0" ]
null
null
null
import pandas as pd import ete2 from ete2 import faces, Tree, AttrFace, TreeStyle import pylab from matplotlib.colors import hex2color, rgb2hex, hsv_to_rgb, rgb_to_hsv kelly_colors_hex = [ 0xFFB300, # Vivid Yellow 0x803E75, # Strong Purple 0xFF6800, # Vivid Orange 0xA6BDD7, # Very Light Blue 0xC100...
52.178723
485
0.621921
1,627
12,262
4.484942
0.200983
0.021927
0.034946
0.021927
0.317254
0.271344
0.192682
0.175689
0.123475
0.0899
0
0.025686
0.260235
12,262
234
486
52.401709
0.778745
0.169711
0
0.171123
0
0
0.110266
0.004841
0
0
0.015809
0
0
1
0.032086
false
0
0.032086
0
0.090909
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813a4523ca5ed1d20d9dca5c73420720f380885a
1,090
py
Python
examples/dhc/rule_example.py
fruttasecca/hay_checker
2bbf4e8e90e0abc590dd74080fb6e4f445056354
[ "MIT" ]
2
2019-05-22T08:24:38.000Z
2020-12-04T13:36:30.000Z
examples/dhc/rule_example.py
fruttasecca/hay_checker
2bbf4e8e90e0abc590dd74080fb6e4f445056354
[ "MIT" ]
null
null
null
examples/dhc/rule_example.py
fruttasecca/hay_checker
2bbf4e8e90e0abc590dd74080fb6e4f445056354
[ "MIT" ]
3
2018-09-15T13:40:40.000Z
2021-06-29T23:31:18.000Z
#!/usr/bin/python3 from pyspark.sql import SparkSession from haychecker.dhc.metrics import rule spark = SparkSession.builder.appName("rule_example").getOrCreate() df = spark.read.format("csv").option("header", "true").load("examples/resources/employees.csv") df.show() condition1 = {"column": "salary", "operator": ...
31.142857
95
0.678899
132
1,090
5.598485
0.439394
0.108254
0.08931
0.121786
0.20839
0.154263
0.154263
0.154263
0.154263
0
0
0.053775
0.112844
1,090
35
96
31.142857
0.710445
0.015596
0
0.173913
0
0
0.290774
0.029823
0
0
0
0
0
1
0
false
0
0.086957
0
0.086957
0.086957
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813a8ce209fa6c27b191963bd6e67321e4277566
10,579
py
Python
secure_message/common/utilities.py
uk-gov-mirror/ONSdigital.ras-secure-message
741eed651eea47dd1a13c7c93b1b1796584cdf2b
[ "MIT" ]
null
null
null
secure_message/common/utilities.py
uk-gov-mirror/ONSdigital.ras-secure-message
741eed651eea47dd1a13c7c93b1b1796584cdf2b
[ "MIT" ]
null
null
null
secure_message/common/utilities.py
uk-gov-mirror/ONSdigital.ras-secure-message
741eed651eea47dd1a13c7c93b1b1796584cdf2b
[ "MIT" ]
null
null
null
import collections import logging import urllib.parse from structlog import wrap_logger from secure_message.constants import MESSAGE_BY_ID_ENDPOINT, MESSAGE_LIST_ENDPOINT, MESSAGE_QUERY_LIMIT from secure_message.services.service_toggles import party, internal_user_service logger = wrap_logger(logging.getLogger(__nam...
43.714876
154
0.680121
1,392
10,579
4.964799
0.181034
0.01447
0.037621
0.017364
0.392707
0.333237
0.270149
0.225004
0.195341
0.190421
0
0.000865
0.23471
10,579
241
155
43.896266
0.852767
0.269874
0
0.186207
0
0
0.187293
0.065255
0
0
0
0
0
1
0.062069
false
0
0.041379
0
0.165517
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813b149e48d21390532f6bf57e32e5f1ed05f482
8,353
py
Python
notegame/games/nonogram/core/renderer.py
notechats/notegame
3d9538b98cb6b0b240956b1271e028b22458fc54
[ "Apache-2.0" ]
null
null
null
notegame/games/nonogram/core/renderer.py
notechats/notegame
3d9538b98cb6b0b240956b1271e028b22458fc54
[ "Apache-2.0" ]
null
null
null
notegame/games/nonogram/core/renderer.py
notechats/notegame
3d9538b98cb6b0b240956b1271e028b22458fc54
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- """ Defines various renderers for the game of nonogram """ from abc import ABC from sys import stdout from notetool.tool.log import logger from six import integer_types, itervalues, text_type from ..utils.iter import max_safe, pad from ..utils.other import two_powers from .common import BOX, ...
27.386885
81
0.587932
1,016
8,353
4.641732
0.20374
0.032443
0.020356
0.015267
0.217133
0.147159
0.108991
0.108991
0.092027
0.084182
0
0.001741
0.312463
8,353
304
82
27.476974
0.819432
0.177062
0
0.198864
0
0
0.014127
0
0
0
0
0
0
1
0.170455
false
0
0.039773
0.022727
0.414773
0.017045
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813c2d5f4577a87860a81df5e212cf9b2d380367
1,690
py
Python
python/fill_na_v2.py
fredmell/CS229Project
b214127485ddc587b9fe3be253937ba8378f9db7
[ "MIT" ]
null
null
null
python/fill_na_v2.py
fredmell/CS229Project
b214127485ddc587b9fe3be253937ba8378f9db7
[ "MIT" ]
null
null
null
python/fill_na_v2.py
fredmell/CS229Project
b214127485ddc587b9fe3be253937ba8378f9db7
[ "MIT" ]
1
2020-06-01T00:36:06.000Z
2020-06-01T00:36:06.000Z
""" Fill na with most common of the whole column """ import numpy as np import pandas as pd import time import matplotlib.pyplot as plt from datetime import datetime import re from collections import Counter from statistics import median from tqdm import tqdm def find_most_common_value(element_list): for elemen...
23.472222
85
0.611243
246
1,690
4.060976
0.373984
0.03003
0.033033
0.038038
0.032032
0
0
0
0
0
0
0.010664
0.278698
1,690
71
86
23.802817
0.80886
0.026036
0
0.14
0
0
0.07326
0.043956
0
0
0
0
0
1
0.02
false
0.02
0.18
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813cbfb2b0206a03eec11ec90ba51dbd9b92d6bd
3,071
py
Python
GUI Applications/calc.py
jaiswalIT02/pythonprograms
bc94e52121202b04c3e9112d9786f93ed6707f7a
[ "MIT" ]
null
null
null
GUI Applications/calc.py
jaiswalIT02/pythonprograms
bc94e52121202b04c3e9112d9786f93ed6707f7a
[ "MIT" ]
null
null
null
GUI Applications/calc.py
jaiswalIT02/pythonprograms
bc94e52121202b04c3e9112d9786f93ed6707f7a
[ "MIT" ]
null
null
null
from tkinter import Tk from tkinter import Entry from tkinter import Button from tkinter import StringVar t=Tk() t.title("Tarun Jaiswal") t.geometry("425x300") t.resizable(0,0) t.configure(background="black")#back ground color a=StringVar() def show(c): a.set(a.get()+c) def equal(): x=a.get() a.set(eva...
33.021505
94
0.699772
518
3,071
4.148649
0.166023
0.047464
0.059563
0.089344
0.482085
0.482085
0.33504
0.33504
0.144253
0.11866
0
0.103366
0.042331
3,071
93
95
33.021505
0.627338
0.005536
0
0
0
0
0.098232
0
0
0
0
0
0
1
0.044118
false
0
0.058824
0
0.102941
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813cfc21850f486d6ac29f7b86826c89d492a555
41,687
py
Python
core/models.py
uktrade/great-cms
f13fa335ddcb925bc33a5fa096fe73ef7bdd351a
[ "MIT" ]
10
2020-04-30T12:04:35.000Z
2021-07-21T12:48:55.000Z
core/models.py
uktrade/great-cms
f13fa335ddcb925bc33a5fa096fe73ef7bdd351a
[ "MIT" ]
1,461
2020-01-23T18:20:26.000Z
2022-03-31T08:05:56.000Z
core/models.py
uktrade/great-cms
f13fa335ddcb925bc33a5fa096fe73ef7bdd351a
[ "MIT" ]
3
2020-04-07T20:11:36.000Z
2020-10-16T16:22:59.000Z
import hashlib import mimetypes from urllib.parse import unquote from django.conf import settings from django.core.exceptions import ValidationError from django.db import models from django.http import HttpResponseRedirect from django.template.loader import render_to_string from django.urls import reverse from django....
32.491816
120
0.614052
4,393
41,687
5.638061
0.163214
0.009448
0.012435
0.018411
0.338622
0.29736
0.255895
0.221495
0.203327
0.185925
0
0.006034
0.288411
41,687
1,282
121
32.517161
0.828917
0.114808
0
0.31961
0
0.002167
0.147883
0.028865
0
0
0
0.00156
0
1
0.048754
false
0
0.045504
0.019502
0.335861
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813ec18cfeb4f9f63d67da715da440d160d1cd07
9,860
py
Python
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/transforms/transforms.py
dumpmemory/Research
30fd70ff331b3d9aeede0b71e7a691ed6c2b87b3
[ "Apache-2.0" ]
null
null
null
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/transforms/transforms.py
dumpmemory/Research
30fd70ff331b3d9aeede0b71e7a691ed6c2b87b3
[ "Apache-2.0" ]
null
null
null
CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/transforms/transforms.py
dumpmemory/Research
30fd70ff331b3d9aeede0b71e7a691ed6c2b87b3
[ "Apache-2.0" ]
null
null
null
# -*-coding utf-8 -*- ########################################################################## # # Copyright (c) 2022 Baidu.com, Inc. All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of th...
34.840989
136
0.596349
1,237
9,860
4.669361
0.236055
0.027008
0.020776
0.030125
0.272161
0.221087
0.177458
0.177458
0.141447
0.128289
0
0.010519
0.296146
9,860
283
137
34.840989
0.821758
0.471805
0
0.317308
0
0
0.038943
0
0
0
0
0
0
1
0.134615
false
0
0.086538
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
813efba40d450227c03f83890923f36f0af07beb
1,370
py
Python
tests/ui/terms/test_views.py
galterlibrary/InvenioRDM-at-NU
5aff6ac7c428c9a61bdf221627bfc05f2280d1a3
[ "MIT" ]
6
2019-09-02T00:01:50.000Z
2021-11-04T08:23:40.000Z
tests/ui/terms/test_views.py
galterlibrary/InvenioRDM-at-NU
5aff6ac7c428c9a61bdf221627bfc05f2280d1a3
[ "MIT" ]
72
2019-09-04T18:52:35.000Z
2020-07-21T19:58:15.000Z
tests/ui/terms/test_views.py
galterlibrary/InvenioRDM-at-NU
5aff6ac7c428c9a61bdf221627bfc05f2280d1a3
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # # This file is part of menRva. # Copyright (C) 2018-present NU,FSM,GHSL. # # menRva is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Test terms views.py""" from cd2h_repo_project.modules.terms.views import ...
28.541667
77
0.642336
159
1,370
5.27044
0.415094
0.162291
0.101432
0.125298
0.702864
0.372315
0.372315
0.300716
0.300716
0.300716
0
0.005753
0.238686
1,370
47
78
29.148936
0.797699
0.181022
0
0.137931
0
0
0.175676
0
0
0
0
0
0.206897
1
0.068966
false
0
0.034483
0
0.103448
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81411abc782bf9b1f6f3f22e5119bf12fc73f345
5,777
py
Python
moe/bandit/ucb/ucb_interface.py
dstoeckel/MOE
5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c
[ "Apache-2.0" ]
966
2015-01-10T05:27:30.000Z
2022-03-26T21:04:36.000Z
moe/bandit/ucb/ucb_interface.py
dstoeckel/MOE
5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c
[ "Apache-2.0" ]
46
2015-01-16T22:33:08.000Z
2019-09-04T16:33:27.000Z
moe/bandit/ucb/ucb_interface.py
dstoeckel/MOE
5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c
[ "Apache-2.0" ]
143
2015-01-07T03:57:19.000Z
2022-02-28T01:10:45.000Z
# -*- coding: utf-8 -*- """Classes (Python) to compute the Bandit UCB (Upper Confidence Bound) arm allocation and choosing the arm to pull next. See :mod:`moe.bandit.bandit_interface` for further details on bandit. """ import copy from abc import abstractmethod from moe.bandit.bandit_interface import BanditInterfac...
41.561151
171
0.701229
797
5,777
4.912171
0.224592
0.073052
0.016858
0.018391
0.396424
0.34636
0.278416
0.223755
0.223755
0.203831
0
0.009577
0.22278
5,777
138
172
41.862319
0.862361
0.613467
0
0.125
0
0
0.036545
0
0
0
0
0
0
1
0.125
false
0.025
0.1
0
0.35
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
8141278e8aec7ffc16f0909af9f0862c9b9fc0df
296
py
Python
Hedge/Shell.py
RonaldoAPSD/Hedge
2a1550ea38a0384f39ed3541c8a91f9ca57f5a64
[ "Apache-2.0" ]
2
2020-08-16T01:42:32.000Z
2020-08-28T21:10:03.000Z
Hedge/Shell.py
RonaldoAPSD/Hedge
2a1550ea38a0384f39ed3541c8a91f9ca57f5a64
[ "Apache-2.0" ]
null
null
null
Hedge/Shell.py
RonaldoAPSD/Hedge
2a1550ea38a0384f39ed3541c8a91f9ca57f5a64
[ "Apache-2.0" ]
null
null
null
import Hedge while True: text = input('Hedge > ') if text.strip() == "": continue result, error = Hedge.run('<stdin>', text) if (error): print(error.asString()) elif result: if len(result.elements) == 1: print(repr(result.elements[0])) else: print(repr(result))
19.733333
44
0.60473
38
296
4.710526
0.578947
0.156425
0.167598
0
0
0
0
0
0
0
0
0.008658
0.219595
296
15
45
19.733333
0.766234
0
0
0
0
0
0.053004
0
0
0
0
0
0
1
0
false
0
0.076923
0
0.076923
0.230769
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81433f45286c6ca7869898f63194549b86792d2f
14,420
py
Python
yt/frontends/enzo/io.py
Xarthisius/yt
321643c3abff64a6f132d98d0747f3558f7552a3
[ "BSD-3-Clause-Clear" ]
1
2021-05-20T13:03:57.000Z
2021-05-20T13:03:57.000Z
yt/frontends/enzo/io.py
Xarthisius/yt
321643c3abff64a6f132d98d0747f3558f7552a3
[ "BSD-3-Clause-Clear" ]
31
2017-04-19T21:07:18.000Z
2017-04-20T01:08:43.000Z
yt/frontends/enzo/io.py
Xarthisius/yt
321643c3abff64a6f132d98d0747f3558f7552a3
[ "BSD-3-Clause-Clear" ]
1
2021-04-21T07:01:51.000Z
2021-04-21T07:01:51.000Z
import numpy as np from yt.geometry.selection_routines import GridSelector from yt.utilities.io_handler import BaseIOHandler from yt.utilities.logger import ytLogger as mylog from yt.utilities.on_demand_imports import _h5py as h5py _convert_mass = ("particle_mass", "mass") _particle_position_names = {} class IOHan...
38.867925
85
0.499792
1,690
14,420
4.138462
0.179882
0.006434
0.027881
0.034029
0.582928
0.536889
0.505147
0.458393
0.420646
0.409637
0
0.013341
0.402219
14,420
370
86
38.972973
0.798028
0.091678
0
0.592233
0
0
0.047903
0
0
0
0
0
0.003236
1
0.05178
false
0
0.019417
0.006472
0.158576
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81434230700195b62a622200418ac9737e7bcf37
1,275
py
Python
cidr_enum.py
arisada/cidr_enum
1908f20ac15a83738fc1ff74ff17a7280bec769f
[ "BSD-2-Clause" ]
null
null
null
cidr_enum.py
arisada/cidr_enum
1908f20ac15a83738fc1ff74ff17a7280bec769f
[ "BSD-2-Clause" ]
null
null
null
cidr_enum.py
arisada/cidr_enum
1908f20ac15a83738fc1ff74ff17a7280bec769f
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/env python3 """ cidr_enum.py is a very simple tool to help enumerate IP ranges when being used with other tools """ import argparse import netaddr def enum_ranges(ranges, do_sort): cidrs=[] for r in ranges: try: cidrs.append(netaddr.IPNetwork(r)) except Exception as e: print("Error:", e) re...
25
95
0.677647
193
1,275
4.373057
0.419689
0.047393
0.060427
0.042654
0.194313
0.14218
0.090047
0
0
0
0
0.000959
0.181961
1,275
50
96
25.5
0.808245
0.101176
0
0.051282
0
0
0.194371
0
0
0
0
0
0
1
0.051282
false
0
0.051282
0
0.153846
0.102564
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
81434e0f75802811d789efae93fbec2c949725b8
7,469
py
Python
configs/k400-fixmatch-tg-alignment-videos-ptv-simclr/8gpu/r3d_r18_8x8x1_45e_k400_rgb_offlinetg_1percent_align0123_1clip_no_contrast_precisebn_ptv.py
lambert-x/video_semisup
8ff44343bb34485f8ad08d50ca4d8de22e122c1d
[ "Apache-2.0" ]
null
null
null
configs/k400-fixmatch-tg-alignment-videos-ptv-simclr/8gpu/r3d_r18_8x8x1_45e_k400_rgb_offlinetg_1percent_align0123_1clip_no_contrast_precisebn_ptv.py
lambert-x/video_semisup
8ff44343bb34485f8ad08d50ca4d8de22e122c1d
[ "Apache-2.0" ]
null
null
null
configs/k400-fixmatch-tg-alignment-videos-ptv-simclr/8gpu/r3d_r18_8x8x1_45e_k400_rgb_offlinetg_1percent_align0123_1clip_no_contrast_precisebn_ptv.py
lambert-x/video_semisup
8ff44343bb34485f8ad08d50ca4d8de22e122c1d
[ "Apache-2.0" ]
null
null
null
# model settings model = dict( type='Semi_AppSup_TempSup_SimCLR_Crossclip_PTV_Recognizer3D', backbone=dict( type='ResNet3d', depth=18, pretrained=None, pretrained2d=False, norm_eval=False, conv_cfg=dict(type='Conv3d'), norm_cfg=dict(type='SyncBN', requires...
33.95
126
0.664078
985
7,469
4.75533
0.267005
0.111016
0.033305
0.037575
0.476729
0.447054
0.442357
0.422716
0.396029
0.395816
0
0.035447
0.195475
7,469
219
127
34.105023
0.744051
0.058375
0
0.379487
0
0
0.184409
0.062847
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d48ba98f343e96c0da8c5db735d6d98bd7a3e3d3
5,370
py
Python
modules/statusbar.py
themilkman/GitGutter
355b4480e7e1507fe1f9ae1ad9eca9649400a76c
[ "MIT" ]
null
null
null
modules/statusbar.py
themilkman/GitGutter
355b4480e7e1507fe1f9ae1ad9eca9649400a76c
[ "MIT" ]
null
null
null
modules/statusbar.py
themilkman/GitGutter
355b4480e7e1507fe1f9ae1ad9eca9649400a76c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import sublime from . import blame from . import templates class SimpleStatusBarTemplate(object): """A simple template class with the same interface as jinja2's one.""" # a list of variables used by this template variables = frozenset([ 'repo', 'branch', 'compare', 'inser...
33.354037
78
0.570577
613
5,370
4.931485
0.278956
0.035726
0.034403
0.015878
0.046312
0.017863
0
0
0
0
0
0.005385
0.343017
5,370
160
79
33.5625
0.850907
0.390503
0
0.026667
0
0
0.129835
0
0
0
0
0
0
1
0.08
false
0
0.04
0
0.226667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d48e8d3a34a96d0df0efeeb8e07e14864978dc32
1,115
py
Python
test.py
LeonHodgesAustin/video_stream_processor
8014705edc37599716eb1320d46c99136fe3e262
[ "BSD-3-Clause" ]
null
null
null
test.py
LeonHodgesAustin/video_stream_processor
8014705edc37599716eb1320d46c99136fe3e262
[ "BSD-3-Clause" ]
null
null
null
test.py
LeonHodgesAustin/video_stream_processor
8014705edc37599716eb1320d46c99136fe3e262
[ "BSD-3-Clause" ]
null
null
null
# import logging # import hercules.lib.util.hercules_logging as l # from hercules.lib.util import sso as sso import opencv2 as cv2 import urllib import numpy as np # log = l.setup_logging(__name__) def main(args=None): # username, passowrd = sso.get_login_credentials("WATCHER") # Open a sample video available...
27.875
102
0.6287
149
1,115
4.57047
0.597315
0.032305
0.044053
0
0
0
0
0
0
0
0
0.02214
0.270852
1,115
39
103
28.589744
0.815498
0.426009
0
0.105263
0
0
0.172524
0
0
0
0.00639
0
0
1
0.052632
false
0
0.157895
0
0.210526
0.105263
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d48f61239e116e08f567623063b6adca1886ef91
3,792
py
Python
kobe-trading-bot/app.py
LeonardoM011/kobe-trading-bot
83a84ee0fb8dab3d9ae174be91e96de6d5f2d823
[ "MIT" ]
null
null
null
kobe-trading-bot/app.py
LeonardoM011/kobe-trading-bot
83a84ee0fb8dab3d9ae174be91e96de6d5f2d823
[ "MIT" ]
null
null
null
kobe-trading-bot/app.py
LeonardoM011/kobe-trading-bot
83a84ee0fb8dab3d9ae174be91e96de6d5f2d823
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # Crypto trading bot using binance api # Author: LeonardoM011<Leonardo.leo.201@gmail.com> # Created on 2021-02-05 21:56 # Set constants here: DELTA_TIME = 300 # How long can we check for setting up new trade (in seconds) # ---------------------- # Imports: import os import sys...
36.461538
219
0.620781
455
3,792
4.989011
0.364835
0.051542
0.03348
0.042291
0.281938
0.247577
0.212335
0.112775
0.112775
0.112775
0
0.028561
0.26134
3,792
104
220
36.461538
0.781864
0.364979
0
0.039216
0
0
0.132864
0.009679
0
0
0
0
0
1
0.058824
false
0
0.137255
0
0.215686
0.137255
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4910ca755a73b263041c7cd3c681f6108d61901
13,061
py
Python
imported_files/plotting_edh01.py
SoumyaShreeram/Locating_AGN_in_DM_halos
1cfbee69b2c000faee4ecb199d65c3235afbed42
[ "MIT" ]
null
null
null
imported_files/plotting_edh01.py
SoumyaShreeram/Locating_AGN_in_DM_halos
1cfbee69b2c000faee4ecb199d65c3235afbed42
[ "MIT" ]
null
null
null
imported_files/plotting_edh01.py
SoumyaShreeram/Locating_AGN_in_DM_halos
1cfbee69b2c000faee4ecb199d65c3235afbed42
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """Plotting.py for notebook 01_Exploring_DM_Halos This python file contains all the functions used for plotting graphs and maps in the 1st notebook (.ipynb) of the repository: 01. Exploring parameters in DM halos and sub-halos Script written by: Soumya Shreeram Project supervised by Johan Com...
41.996785
193
0.674298
2,050
13,061
4.105366
0.180488
0.018061
0.013308
0.01616
0.25903
0.204016
0.154468
0.144368
0.137001
0.097671
0
0.024287
0.189802
13,061
311
194
41.996785
0.771026
0.256259
0
0.130719
0
0.013072
0.128219
0.022677
0
0
0
0
0
1
0.065359
false
0
0.124183
0
0.254902
0.039216
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49130f40117c9ae1a6661a583616d08186beb75
2,239
py
Python
asv_bench/benchmarks/omnisci/io.py
Rubtsowa/modin
6550939753c76e896ef2bfd65bb9468d6ad161d7
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
asv_bench/benchmarks/omnisci/io.py
Rubtsowa/modin
6550939753c76e896ef2bfd65bb9468d6ad161d7
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
asv_bench/benchmarks/omnisci/io.py
Rubtsowa/modin
6550939753c76e896ef2bfd65bb9468d6ad161d7
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
# Licensed to Modin Development Team under one or more contributor license agreements. # See the NOTICE file distributed with this work for additional information regarding # copyright ownership. The Modin Development Team licenses this file to you under the # Apache License, Version 2.0 (the "License"); you may not u...
33.924242
87
0.663243
298
2,239
4.828859
0.442953
0.041696
0.020848
0.022238
0.029187
0.029187
0
0
0
0
0
0.00538
0.252791
2,239
65
88
34.446154
0.854752
0.389013
0
0.04878
0
0
0.069733
0.055638
0
0
0
0
0
1
0.073171
false
0
0.121951
0
0.317073
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4913a27e63bc4d452b162e06717cf43b3cf28c7
7,730
py
Python
benchmarks/rotation/rotated_cifar.py
ypeng22/ProgLearn
671ff6a03c156bab3eedbd9e112705eeabd59da7
[ "MIT" ]
1
2021-02-02T03:18:46.000Z
2021-02-02T03:18:46.000Z
benchmarks/rotation/rotated_cifar.py
ypeng22/ProgLearn
671ff6a03c156bab3eedbd9e112705eeabd59da7
[ "MIT" ]
null
null
null
benchmarks/rotation/rotated_cifar.py
ypeng22/ProgLearn
671ff6a03c156bab3eedbd9e112705eeabd59da7
[ "MIT" ]
null
null
null
import matplotlib.pyplot as plt import random import pickle from skimage.transform import rotate from scipy import ndimage from skimage.util import img_as_ubyte from joblib import Parallel, delayed from sklearn.ensemble.forest import _generate_unsampled_indices from sklearn.ensemble.forest import _generate_sample_indic...
40.684211
139
0.625356
1,018
7,730
4.540275
0.220039
0.034617
0.055387
0.051493
0.3373
0.295976
0.217222
0.217222
0.201212
0.187581
0
0.043404
0.245925
7,730
189
140
40.899471
0.749528
0.012678
0
0.077465
0
0
0.028823
0.003027
0
0
0
0
0
1
0.028169
false
0
0.169014
0
0.211268
0.014085
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4925b374376cf8c3d1b5d0d5ddbaf90cc28fafd
3,763
py
Python
sklearn_pandas/transformers/monitor.py
toddbenanzer/sklearn_pandas
36e24c55ef4829aa261963201c346869097d4931
[ "MIT" ]
null
null
null
sklearn_pandas/transformers/monitor.py
toddbenanzer/sklearn_pandas
36e24c55ef4829aa261963201c346869097d4931
[ "MIT" ]
null
null
null
sklearn_pandas/transformers/monitor.py
toddbenanzer/sklearn_pandas
36e24c55ef4829aa261963201c346869097d4931
[ "MIT" ]
null
null
null
import numpy as np import pandas as pd from sklearn.base import BaseEstimator, TransformerMixin, clone from sklearn_pandas.util import validate_dataframe class MonitorMixin(object): def print_message(self, message): if self.logfile: with open(self.logfile, "a") as fout: fout.w...
38.010101
140
0.543981
426
3,763
4.680751
0.237089
0.022066
0.048144
0.038114
0.451354
0.399198
0.399198
0.399198
0.361083
0.311936
0
0.007714
0.345469
3,763
98
141
38.397959
0.801868
0
0
0.469136
0
0
0.118022
0
0
0
0
0
0
1
0.08642
false
0
0.049383
0
0.222222
0.074074
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4928bbc94c4225d834897ba151f5d1146c73aa7
10,842
py
Python
Packs/ProofpointThreatResponse/Integrations/ProofpointThreatResponse/ProofpointThreatResponse_test.py
cbrake1/content
5b031129f98935c492056675eeee0fefcacbd87b
[ "MIT" ]
1
2020-11-25T00:42:27.000Z
2020-11-25T00:42:27.000Z
Packs/ProofpointThreatResponse/Integrations/ProofpointThreatResponse/ProofpointThreatResponse_test.py
cbrake1/content
5b031129f98935c492056675eeee0fefcacbd87b
[ "MIT" ]
22
2022-03-23T10:39:16.000Z
2022-03-31T11:31:37.000Z
Packs/ProofpointThreatResponse/Integrations/ProofpointThreatResponse/ProofpointThreatResponse_test.py
cbrake1/content
5b031129f98935c492056675eeee0fefcacbd87b
[ "MIT" ]
null
null
null
import pytest from CommonServerPython import * from ProofpointThreatResponse import create_incident_field_context, get_emails_context, pass_sources_list_filter, \ pass_abuse_disposition_filter, filter_incidents, prepare_ingest_alert_request_body, \ get_incidents_batch_by_time_request, get_new_incidents, get_tim...
32.558559
128
0.603394
1,206
10,842
5.1733
0.21393
0.020516
0.015387
0.012181
0.363039
0.223754
0.200032
0.184966
0.184966
0.172464
0
0.025471
0.264896
10,842
332
129
32.656627
0.75734
0.141764
0
0.157258
0
0.004032
0.280762
0.027955
0
0
0
0
0.060484
1
0.044355
false
0.024194
0.012097
0
0.060484
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d492fd9d00437e877a4501964cd431bb0546c438
3,522
py
Python
macholib/macho_methname.py
l1haoyuan/macholib
48c59841e2ca5aa308eab67f72faed384a2c0723
[ "MIT" ]
null
null
null
macholib/macho_methname.py
l1haoyuan/macholib
48c59841e2ca5aa308eab67f72faed384a2c0723
[ "MIT" ]
null
null
null
macholib/macho_methname.py
l1haoyuan/macholib
48c59841e2ca5aa308eab67f72faed384a2c0723
[ "MIT" ]
null
null
null
import sys import os import json from enum import Enum from .mach_o import LC_SYMTAB from macholib import MachO from macholib import mach_o from shutil import copy2 from shutil import SameFileError class ReplaceType(Enum): objc_methname = 1 symbol_table = 2 def replace_in_bytes(method_bytes, name_dict, type...
30.102564
111
0.635434
487
3,522
4.367556
0.232033
0.056888
0.030089
0.03103
0.236483
0.139163
0.06582
0.030089
0
0
0
0.010798
0.263771
3,522
116
112
30.362069
0.809487
0.014196
0
0.089888
0
0
0.08044
0
0
0
0
0
0
1
0.05618
false
0.044944
0.101124
0
0.213483
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d493cf85a9cb37a46e9d38eab9f5e238cbe228b0
1,515
py
Python
forms/snippets/delete_watch.py
soheilv/python-samples
4443431261dbcd88408dcc89d5702eeb1ac18ffd
[ "Apache-2.0" ]
255
2020-10-16T16:27:54.000Z
2022-03-31T14:26:29.000Z
forms/snippets/delete_watch.py
soheilv/python-samples
4443431261dbcd88408dcc89d5702eeb1ac18ffd
[ "Apache-2.0" ]
58
2020-10-16T14:24:27.000Z
2022-03-19T13:27:27.000Z
forms/snippets/delete_watch.py
soheilv/python-samples
4443431261dbcd88408dcc89d5702eeb1ac18ffd
[ "Apache-2.0" ]
316
2020-10-16T17:06:00.000Z
2022-03-30T19:18:31.000Z
# Copyright 2021 Google LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
36.95122
118
0.770297
222
1,515
5.121622
0.554054
0.05277
0.022867
0.028144
0
0
0
0
0
0
0
0.009105
0.130033
1,515
40
119
37.875
0.853566
0.427723
0
0
0
0.055556
0.263529
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
0.111111
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49496c9213106a0918889d0e3a6aa3992ff1641
1,829
py
Python
data_structures/disjoint_set/disjoint_set.py
egagraha/python-algorithm
07a6a745b4ebddc93ab7c10b205c75b2427ac1fb
[ "MIT" ]
null
null
null
data_structures/disjoint_set/disjoint_set.py
egagraha/python-algorithm
07a6a745b4ebddc93ab7c10b205c75b2427ac1fb
[ "MIT" ]
null
null
null
data_structures/disjoint_set/disjoint_set.py
egagraha/python-algorithm
07a6a745b4ebddc93ab7c10b205c75b2427ac1fb
[ "MIT" ]
null
null
null
""" Disjoint set. Reference: https://en.wikipedia.org/wiki/Disjoint-set_data_structure """ class Node: def __init__(self, data: int) -> None: self.data = data self.rank: int self.parent: Node def make_set(x: Node) -> None: """ Make x as a set. """ # rank is the di...
21.517647
73
0.556042
274
1,829
3.562044
0.288321
0.057377
0.057377
0.020492
0.127049
0.061475
0.061475
0
0
0
0
0.020717
0.313833
1,829
84
74
21.77381
0.756972
0.201203
0
0.045455
0
0
0.026451
0
0
0
0
0
0.045455
1
0.136364
false
0
0
0
0.227273
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d494b4ecc12674b178766fec7fe530877b75b17d
1,391
py
Python
cw_EPR.py
tkeller12/spin_physics
271f3081bc8ca87b159ed3e3494dbd0ffdea8fa5
[ "MIT" ]
null
null
null
cw_EPR.py
tkeller12/spin_physics
271f3081bc8ca87b159ed3e3494dbd0ffdea8fa5
[ "MIT" ]
null
null
null
cw_EPR.py
tkeller12/spin_physics
271f3081bc8ca87b159ed3e3494dbd0ffdea8fa5
[ "MIT" ]
null
null
null
# Timothy Keller # S = 1/2, I = 1/2 # Spin 1/2 electron coupled to spin 1/2 nuclei import numpy as np from scipy.linalg import expm from matplotlib.pylab import * from matplotlib import cm sigma_x = 0.5*np.r_[[[0, 1],[1, 0]]] sigma_y = 0.5*np.r_[[[0,-1j],[1j, 0]]] sigma_z = 0.5*np.r_[[[1, 0],[0, -1]]] Identity = np.e...
21.075758
113
0.62473
282
1,391
3.010638
0.287234
0.04947
0.029446
0.03298
0.108363
0.094229
0.094229
0.094229
0.094229
0.094229
0
0.094228
0.153127
1,391
65
114
21.4
0.626486
0.183321
0
0
0
0
0.06921
0
0
0
0
0
0
1
0
false
0
0.086957
0
0.086957
0.347826
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d494b73023a37a848160341332c0ded7a2a24518
1,787
py
Python
V2RaycSpider0825/MiddleKey/VMes_IO.py
TOMJERRY23333/V2RayCloudSpider
0647db8c7b67e4393d1f65dadc08d7e16c1dc324
[ "MIT" ]
1
2020-09-16T12:59:32.000Z
2020-09-16T12:59:32.000Z
V2RaycSpider0825/MiddleKey/VMes_IO.py
TOMJERRY23333/V2RayCloudSpider
0647db8c7b67e4393d1f65dadc08d7e16c1dc324
[ "MIT" ]
null
null
null
V2RaycSpider0825/MiddleKey/VMes_IO.py
TOMJERRY23333/V2RayCloudSpider
0647db8c7b67e4393d1f65dadc08d7e16c1dc324
[ "MIT" ]
null
null
null
from spiderNest.preIntro import * path_ = os.path.dirname(os.path.dirname(__file__)) + '/dataBase/log_information.csv' def save_login_info(VMess, class_): """ VMess入库 class_: ssr or v2ray """ now = str(datetime.now()).split('.')[0] with open(path_, 'a', encoding='utf-8', newline='') as f: ...
28.365079
84
0.525462
237
1,787
3.776371
0.383966
0.01676
0.053631
0.042458
0.246927
0.246927
0.230168
0.230168
0.230168
0.18771
0
0.031941
0.316732
1,787
62
85
28.822581
0.700246
0.084499
0
0.157895
0
0
0.052665
0.018182
0
0
0
0
0
1
0.105263
false
0
0.052632
0
0.236842
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d494cc4fdc66704176b1bdb14e2b8bf08f6d120c
29,585
py
Python
paddlespeech/s2t/frontend/audio.py
AK391/PaddleSpeech
8cdbe3a6c0fe447e54cfbcfd82139d2869f5fc49
[ "Apache-2.0" ]
null
null
null
paddlespeech/s2t/frontend/audio.py
AK391/PaddleSpeech
8cdbe3a6c0fe447e54cfbcfd82139d2869f5fc49
[ "Apache-2.0" ]
null
null
null
paddlespeech/s2t/frontend/audio.py
AK391/PaddleSpeech
8cdbe3a6c0fe447e54cfbcfd82139d2869f5fc49
[ "Apache-2.0" ]
null
null
null
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli...
41.204735
84
0.598378
3,605
29,585
4.772538
0.142857
0.046498
0.018715
0.010578
0.285324
0.225167
0.206684
0.169427
0.165359
0.128858
0
0.011959
0.324489
29,585
717
85
41.262204
0.848937
0.417779
0
0.167192
0
0
0.105382
0
0
0
0
0
0
1
0.104101
false
0
0.047319
0
0.239748
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49613fe0b2e81e10d722fc25f0c3fd9aa1b0a51
4,119
py
Python
tornado_debugger/debug.py
bhch/tornado-debugger
4adeead7a45506eda34fc8d1e91dd32acc8cfe4e
[ "BSD-3-Clause" ]
1
2022-03-21T11:52:30.000Z
2022-03-21T11:52:30.000Z
tornado_debugger/debug.py
bhch/tornado-debugger
4adeead7a45506eda34fc8d1e91dd32acc8cfe4e
[ "BSD-3-Clause" ]
null
null
null
tornado_debugger/debug.py
bhch/tornado-debugger
4adeead7a45506eda34fc8d1e91dd32acc8cfe4e
[ "BSD-3-Clause" ]
null
null
null
import os.path import re import sys import traceback from pprint import pformat import tornado from tornado import template SENSITIVE_SETTINGS_RE = re.compile( 'api|key|pass|salt|secret|signature|token', flags=re.IGNORECASE ) class ExceptionReporter: def __init__(self, exc_info, handler): self....
31.442748
77
0.571255
472
4,119
4.70339
0.300847
0.072072
0.02027
0.022523
0.077477
0.036036
0.028829
0.028829
0
0
0
0.00625
0.339646
4,119
130
78
31.684615
0.809926
0.047342
0
0.132075
0
0
0.063808
0.010209
0
0
0
0
0
1
0.066038
false
0.018868
0.066038
0
0.226415
0.028302
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d496568fcdd0e4278b5c17076444af1d96c25b39
2,426
py
Python
base/pylib/seq_iter.py
jpolitz/lambda-py-paper
746ef63fc1123714b4adaf78119028afbea7bd76
[ "Apache-2.0" ]
1
2017-12-10T00:05:54.000Z
2017-12-10T00:05:54.000Z
base/pylib/seq_iter.py
jpolitz/lambda-py-paper
746ef63fc1123714b4adaf78119028afbea7bd76
[ "Apache-2.0" ]
null
null
null
base/pylib/seq_iter.py
jpolitz/lambda-py-paper
746ef63fc1123714b4adaf78119028afbea7bd76
[ "Apache-2.0" ]
null
null
null
class SeqIter: def __init__(self,l): self.l = l self.i = 0 self.stop = False def __len__(self): return len(self.l) def __list__(self): l = [] while True: try: l.append(self.__next__()) except StopIteration: ...
22.462963
58
0.490107
251
2,426
4.378486
0.243028
0.036397
0.020018
0.021838
0.125569
0.094631
0.094631
0.094631
0.094631
0.094631
0
0.00563
0.414262
2,426
107
59
22.672897
0.767769
0
0
0.366667
0
0
0.049052
0
0
0
0
0
0
1
0.111111
false
0
0
0.022222
0.266667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d496c50445b160bee65444aedffd5152e26bcfa5
1,542
py
Python
caseworker/open_general_licences/enums.py
code-review-doctor/lite-frontend-1
cb3b885bb389ea33ef003c916bea7b03a36d86bb
[ "MIT" ]
null
null
null
caseworker/open_general_licences/enums.py
code-review-doctor/lite-frontend-1
cb3b885bb389ea33ef003c916bea7b03a36d86bb
[ "MIT" ]
null
null
null
caseworker/open_general_licences/enums.py
code-review-doctor/lite-frontend-1
cb3b885bb389ea33ef003c916bea7b03a36d86bb
[ "MIT" ]
null
null
null
from lite_content.lite_internal_frontend.open_general_licences import ( OGEL_DESCRIPTION, OGTCL_DESCRIPTION, OGTL_DESCRIPTION, ) from lite_forms.components import Option class OpenGeneralExportLicences: class OpenGeneralLicence: def __init__(self, id, name, description, acronym): s...
29.09434
117
0.647211
162
1,542
5.919753
0.314815
0.114703
0.05318
0.075078
0.256517
0.140772
0
0
0
0
0
0.085182
0.269131
1,542
52
118
29.653846
0.76575
0
0
0.23913
0
0
0.156291
0.070039
0
0
0
0
0
1
0.086957
false
0
0.043478
0.065217
0.304348
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49731577779af0d944350934f9656734de31c66
319
py
Python
sort.py
EYH0602/FP_Workshop
866b180b411c1ef439e1a2d039c6d6333e91cd39
[ "MIT" ]
1
2021-10-21T02:15:03.000Z
2021-10-21T02:15:03.000Z
sort.py
EYH0602/FP_Workshop
866b180b411c1ef439e1a2d039c6d6333e91cd39
[ "MIT" ]
null
null
null
sort.py
EYH0602/FP_Workshop
866b180b411c1ef439e1a2d039c6d6333e91cd39
[ "MIT" ]
null
null
null
def quicksort(xs): if len(xs) == 0: return [] pivot = xs[0] xs = xs[1:] left = [x for x in xs if x <= pivot] right = [x for x in xs if x > pivot] res = quicksort(left) res.append(pivot) res += quicksort(right) return res xs = [1, 3, 2, 4, 5, 2] sorted_xs = quicksort(xs)
17.722222
40
0.526646
54
319
3.092593
0.388889
0.071856
0.05988
0.083832
0.203593
0.203593
0.203593
0.203593
0
0
0
0.04186
0.326019
319
17
41
18.764706
0.734884
0
0
0
0
0
0
0
0
0
0
0
0
1
0.076923
false
0
0
0
0.230769
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49737aed7a2d03e7911f282302b8766a0010d5f
9,372
py
Python
bddtests/steps/bdd_test_util.py
TarantulaTechnology/fabric5
6da971177ab7d74f1e1cfa6f7fc73e75768e5686
[ "Apache-2.0" ]
4
2018-01-02T04:26:16.000Z
2018-10-25T08:51:06.000Z
bddtests/steps/bdd_test_util.py
TarantulaTechnology/fabric5
6da971177ab7d74f1e1cfa6f7fc73e75768e5686
[ "Apache-2.0" ]
null
null
null
bddtests/steps/bdd_test_util.py
TarantulaTechnology/fabric5
6da971177ab7d74f1e1cfa6f7fc73e75768e5686
[ "Apache-2.0" ]
9
2016-11-17T07:40:04.000Z
2020-03-16T16:11:39.000Z
# Copyright IBM Corp. 2016 All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
40.747826
189
0.714789
1,061
9,372
6.267672
0.282752
0.021654
0.014436
0.007669
0.153233
0.139699
0.12015
0.106917
0.093684
0.082256
0
0.006844
0.204866
9,372
229
190
40.925764
0.885534
0.26131
0
0.197183
0
0
0.088046
0
0
0
0
0
0.049296
1
0.105634
false
0.021127
0.049296
0.014085
0.246479
0.021127
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4973b8aa4822ac46365e7bcf3331ae6bf592f03
13,868
py
Python
1.0.0/hp/dict.py
cefect/SOFDA0
62c5566d0f388a5fd76a070ceb5ee3e38b0d7463
[ "MIT" ]
null
null
null
1.0.0/hp/dict.py
cefect/SOFDA0
62c5566d0f388a5fd76a070ceb5ee3e38b0d7463
[ "MIT" ]
null
null
null
1.0.0/hp/dict.py
cefect/SOFDA0
62c5566d0f388a5fd76a070ceb5ee3e38b0d7463
[ "MIT" ]
null
null
null
''' Created on Mar 6, 2018 @author: cef hp functions for workign with dictionaries ''' import logging, os, sys, math, copy, inspect from collections import OrderedDict from weakref import WeakValueDictionary as wdict import numpy as np import hp.basic mod_logger = logging.getLogger(__name__) #...
36.687831
113
0.391477
1,319
13,868
3.992419
0.189538
0.019939
0.025636
0.010824
0.322446
0.288454
0.281048
0.27687
0.264717
0.231675
0
0.003969
0.327805
13,868
377
114
36.785146
0.560931
0.455509
0
0.178808
0
0
0.074901
0
0
0
0
0.002653
0
1
0.072848
false
0.006623
0.039735
0
0.205298
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49bc7fba6d65f4ec2d4a29ecf9e4f75e3ad24d1
10,163
py
Python
automatoes/authorize.py
candango/automatoes
fbfd01cfaa2c36e23a7251e333ef3fa86ef4bff9
[ "Apache-2.0" ]
13
2019-10-08T14:57:19.000Z
2022-01-12T10:01:30.000Z
automatoes/authorize.py
piraz/automatoes
fc6a20c317a8ac863bfb054c9541e310e0431e5f
[ "Apache-2.0" ]
125
2019-10-08T15:04:17.000Z
2022-03-29T19:27:12.000Z
automatoes/authorize.py
candango/automatoes
fbfd01cfaa2c36e23a7251e333ef3fa86ef4bff9
[ "Apache-2.0" ]
8
2019-10-14T15:18:57.000Z
2021-04-21T10:41:08.000Z
#!/usr/bin/env python # # Copyright 2019-2020 Flavio Garcia # Copyright 2016-2017 Veeti Paananen under MIT License # # 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...
39.239382
79
0.546394
1,069
10,163
5.100094
0.237605
0.050073
0.028247
0.019259
0.320249
0.23661
0.162876
0.13573
0.105282
0.040719
0
0.005447
0.3497
10,163
258
80
39.391473
0.819489
0.084129
0
0.325243
0
0
0.206833
0
0
0
0
0
0.004854
1
0.024272
false
0
0.043689
0
0.072816
0.218447
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49c1e0bb83e7c39fdece7542b9e2c9d25d03288
5,832
py
Python
rllib/agents/dqn/simple_q_torch_policy.py
jamesliu/ray
11ab412db1fa3603a3006e8ed414e80dd1f11c0c
[ "Apache-2.0" ]
3
2020-12-12T05:10:44.000Z
2021-04-12T21:52:47.000Z
rllib/agents/dqn/simple_q_torch_policy.py
jamesliu/ray
11ab412db1fa3603a3006e8ed414e80dd1f11c0c
[ "Apache-2.0" ]
227
2021-10-01T08:00:01.000Z
2021-12-28T16:47:26.000Z
rllib/agents/dqn/simple_q_torch_policy.py
gramhagen/ray
c18caa4db36d466718bdbcb2229aa0b2dc03da1f
[ "Apache-2.0" ]
1
2020-12-02T06:26:20.000Z
2020-12-02T06:26:20.000Z
"""PyTorch policy class used for Simple Q-Learning""" import logging from typing import Dict, Tuple import gym import ray from ray.rllib.agents.dqn.simple_q_tf_policy import ( build_q_models, compute_q_values, get_distribution_inputs_and_class) from ray.rllib.models.modelv2 import ModelV2 from ray.rllib.models.to...
35.779141
79
0.710905
782
5,832
5.049872
0.272379
0.02431
0.033426
0.028868
0.186123
0.104837
0.056217
0.04153
0.04153
0.04153
0
0.004113
0.20799
5,832
162
80
36
0.850834
0.281036
0
0.10989
0
0
0.012509
0
0
0
0
0
0
1
0.087912
false
0
0.175824
0.021978
0.318681
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d49f62cf4c67498959f387338aa3e5ee4e7a2d59
382
py
Python
blender/arm/logicnode/native/LN_detect_mobile_browser.py
niacdoial/armory
3f9b633fbf772017c576a3f77695a6c28d9956e1
[ "Zlib" ]
null
null
null
blender/arm/logicnode/native/LN_detect_mobile_browser.py
niacdoial/armory
3f9b633fbf772017c576a3f77695a6c28d9956e1
[ "Zlib" ]
null
null
null
blender/arm/logicnode/native/LN_detect_mobile_browser.py
niacdoial/armory
3f9b633fbf772017c576a3f77695a6c28d9956e1
[ "Zlib" ]
null
null
null
from arm.logicnode.arm_nodes import * class DetectMobileBrowserNode(ArmLogicTreeNode): """Determines the mobile browser or not (works only for web browsers).""" bl_idname = 'LNDetectMobileBrowserNode' bl_label = 'Detect Mobile Browser' arm_version = 1 def init(self, context): super(DetectMobileBrowserNode, sel...
34.727273
74
0.777487
45
382
6.488889
0.755556
0.089041
0
0
0
0
0
0
0
0
0
0.002967
0.117801
382
11
75
34.727273
0.863501
0.175393
0
0
0
0
0.212903
0.080645
0
0
0
0
0
1
0.125
false
0
0.125
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
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a074467479872c4d6bb6745cf590f7c740594e
29,959
py
Python
corehq/apps/dump_reload/tests/test_sql_dump_load.py
andyasne/commcare-hq
c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88
[ "BSD-3-Clause" ]
471
2015-01-10T02:55:01.000Z
2022-03-29T18:07:18.000Z
corehq/apps/dump_reload/tests/test_sql_dump_load.py
andyasne/commcare-hq
c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88
[ "BSD-3-Clause" ]
14,354
2015-01-01T07:38:23.000Z
2022-03-31T20:55:14.000Z
corehq/apps/dump_reload/tests/test_sql_dump_load.py
andyasne/commcare-hq
c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88
[ "BSD-3-Clause" ]
175
2015-01-06T07:16:47.000Z
2022-03-29T13:27:01.000Z
import inspect import json import uuid from collections import Counter from datetime import datetime from io import StringIO import mock from django.contrib.admin.utils import NestedObjects from django.db import transaction, IntegrityError from django.db.models.signals import post_delete, post_save from django.test im...
38.310742
124
0.647118
3,249
29,959
5.689751
0.158203
0.035703
0.041653
0.038948
0.406199
0.329547
0.251325
0.21665
0.169209
0.132803
0
0.008958
0.258487
29,959
781
125
38.359795
0.823183
0.013685
0
0.228178
0
0
0.055768
0.012909
0
0
0
0
0.062787
1
0.064319
false
0.007657
0.087289
0.004594
0.171516
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a08e8d4977972540a2be8547db892cc6d2f3ab
4,561
py
Python
tests/keras/test_activations.py
the-moliver/keras
4fa7e5d454dd4f3f33f1d756a2a8659f2e789141
[ "MIT" ]
150
2017-01-15T15:32:23.000Z
2021-11-23T15:07:55.000Z
tests/keras/test_activations.py
wdw110/keras
4fa7e5d454dd4f3f33f1d756a2a8659f2e789141
[ "MIT" ]
40
2017-01-15T15:41:05.000Z
2020-11-16T13:15:50.000Z
tests/keras/test_activations.py
wdw110/keras
4fa7e5d454dd4f3f33f1d756a2a8659f2e789141
[ "MIT" ]
38
2017-01-15T22:04:06.000Z
2019-11-01T22:35:35.000Z
import pytest import numpy as np from numpy.testing import assert_allclose from keras import backend as K from keras import activations def get_standard_values(): ''' These are just a set of floats used for testing the activation functions, and are useful in multiple tests. ''' return np.array([[...
26.062857
79
0.635825
648
4,561
4.320988
0.203704
0.110714
0.060714
0.035357
0.466786
0.438929
0.429643
0.429643
0.429643
0.429643
0
0.022197
0.229555
4,561
174
80
26.212644
0.774616
0.170796
0
0.357143
0
0
0.003041
0
0
0
0
0
0.112245
1
0.163265
false
0
0.05102
0.020408
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a19a6793c7b81c31ff51744f9dee445aa534f8
1,685
py
Python
tests/test_cli/test_generate/test_generate.py
lrahmani/agents-aea
9bd1d51530fc21bf41b5adea031cda19a94b048b
[ "Apache-2.0" ]
null
null
null
tests/test_cli/test_generate/test_generate.py
lrahmani/agents-aea
9bd1d51530fc21bf41b5adea031cda19a94b048b
[ "Apache-2.0" ]
null
null
null
tests/test_cli/test_generate/test_generate.py
lrahmani/agents-aea
9bd1d51530fc21bf41b5adea031cda19a94b048b
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2018-2019 Fetch.AI Limited # # 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 ...
37.444444
80
0.665282
212
1,685
5.165094
0.54717
0.054795
0.063927
0.041096
0.110502
0
0
0
0
0
0
0.00904
0.146588
1,685
44
81
38.295455
0.752434
0.550148
0
0
0
0
0.188966
0.13931
0
0
0
0
0.071429
1
0.142857
false
0
0.214286
0
0.428571
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a21ef2eb21f79e91184165f8bb407caaf1dcb1
17,126
py
Python
sphinx/ext/napoleon/__init__.py
PeerHerholz/smobsc
db34d2bb96b80579bd4a3f4c198a6b524c5a134a
[ "BSD-2-Clause" ]
3
2019-06-11T09:42:08.000Z
2020-03-10T15:57:09.000Z
sphinx/ext/napoleon/__init__.py
PeerHerholz/smobsc
db34d2bb96b80579bd4a3f4c198a6b524c5a134a
[ "BSD-2-Clause" ]
12
2019-01-09T15:43:57.000Z
2020-01-21T10:46:30.000Z
sphinx/ext/napoleon/__init__.py
PeerHerholz/smobsc
db34d2bb96b80579bd4a3f4c198a6b524c5a134a
[ "BSD-2-Clause" ]
10
2019-02-04T11:49:35.000Z
2020-03-21T13:32:20.000Z
""" sphinx.ext.napoleon ~~~~~~~~~~~~~~~~~~~ Support for NumPy and Google style docstrings. :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. :license: BSD, see LICENSE for details. """ from sphinx import __display_version__ as __version__ from sphinx.application import Sphinx from ...
36.515991
88
0.608782
2,005
17,126
5.017955
0.17606
0.027333
0.017891
0.020276
0.453434
0.391711
0.321539
0.274426
0.242719
0.189643
0
0.00275
0.299428
17,126
468
89
36.594017
0.835806
0.648663
0
0.144231
0
0
0.137715
0.06087
0
0
0
0.008547
0
1
0.048077
false
0.009615
0.105769
0
0.211538
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a24c39597d568e3ab31f3730cb741839a01aff
2,390
py
Python
plugins/similarity/rdkit/tanimoto/lbvs-entry.py
skodapetr/viset
87863ed6cde63392b2d503ceda53bb2cea367d69
[ "MIT" ]
1
2018-12-28T19:36:04.000Z
2018-12-28T19:36:04.000Z
plugins/similarity/rdkit/tanimoto/lbvs-entry.py
skodapetr/viset
87863ed6cde63392b2d503ceda53bb2cea367d69
[ "MIT" ]
14
2017-11-15T17:45:58.000Z
2018-12-10T17:52:23.000Z
plugins/similarity/rdkit/tanimoto/lbvs-entry.py
skodapetr/viset
87863ed6cde63392b2d503ceda53bb2cea367d69
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from rdkit import DataStructs import plugin_api __license__ = "X11" class LbvsEntry(plugin_api.PluginInterface): """ Compute Tanimoto similarity. """ def __init__(self): self.stream = None self.counter = 0 self.first_...
29.506173
77
0.599582
264
2,390
5.155303
0.310606
0.044085
0.041146
0.027921
0.127112
0.088905
0.048494
0
0
0
0
0.006494
0.291213
2,390
80
78
29.875
0.79693
0.043515
0
0.118644
0
0
0.048501
0
0
0
0
0
0
1
0.186441
false
0
0.050847
0.033898
0.322034
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a3f90c44e54f8024d6bee8196a0b29bb2aed61
2,849
py
Python
mall_spider/spiders/actions/proxy_service.py
524243642/taobao_spider
9cdaed1c7a67fc1f35ee2af2e18313cedf3b1e5e
[ "Unlicense" ]
12
2019-06-06T12:23:08.000Z
2021-06-15T17:50:07.000Z
mall_spider/spiders/actions/proxy_service.py
524243642/mall_spider
9cdaed1c7a67fc1f35ee2af2e18313cedf3b1e5e
[ "Unlicense" ]
3
2021-03-31T19:02:47.000Z
2022-02-11T03:43:15.000Z
mall_spider/spiders/actions/proxy_service.py
524243642/taobao_spider
9cdaed1c7a67fc1f35ee2af2e18313cedf3b1e5e
[ "Unlicense" ]
5
2019-09-17T03:55:56.000Z
2020-12-18T03:34:03.000Z
# coding: utf-8 import time from config.config_loader import global_config from mall_spider.spiders.actions.context import Context from mall_spider.spiders.actions.direct_proxy_action import DirectProxyAction __proxy_service = None class ProxyService(object): proxies_set = set() proxies_list = ['https://' +...
33.127907
208
0.601264
350
2,849
4.637143
0.271429
0.060998
0.055453
0.056685
0.319778
0.216882
0.136784
0.136784
0.136784
0.136784
0
0.008236
0.275535
2,849
85
209
33.517647
0.778101
0.004563
0
0.161765
0
0.014706
0.10868
0
0
0
0
0
0
1
0.132353
false
0.029412
0.058824
0.014706
0.382353
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a46b8215ad96def234df7df255d9ac5c89bb08
965
py
Python
app/weather_tests.py
joedanz/flask-weather
fe35aa359da6f5d7f942d97837403e153b5c5ede
[ "Apache-2.0" ]
1
2017-08-25T18:55:11.000Z
2017-08-25T18:55:11.000Z
app/weather_tests.py
joedanz/flask-weather
fe35aa359da6f5d7f942d97837403e153b5c5ede
[ "Apache-2.0" ]
null
null
null
app/weather_tests.py
joedanz/flask-weather
fe35aa359da6f5d7f942d97837403e153b5c5ede
[ "Apache-2.0" ]
null
null
null
import os import weather import datetime import unittest import tempfile class WeatherTestCase(unittest.TestCase): def setUp(self): self.db_fd, weather.app.config['DATABASE'] = tempfile.mkstemp() weather.app.config['TESTING'] = True self.app = weather.app.test_client() weather.init...
26.805556
71
0.631088
126
965
4.68254
0.396825
0.067797
0.081356
0.061017
0.291525
0.254237
0.254237
0.254237
0.132203
0
0
0.02578
0.236269
965
35
72
27.571429
0.774763
0.084974
0
0.08
0
0
0.093426
0
0
0
0
0
0.12
1
0.2
false
0
0.2
0
0.44
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a58432909af220904a476edcdbf9bcba8bc8c1
984
py
Python
modules/sensors/Activator.py
memristor/mep2
bc5cddacba3d740f791f3454b8cb51bda83ce202
[ "MIT" ]
5
2018-11-27T15:15:00.000Z
2022-02-10T21:44:13.000Z
modules/sensors/Activator.py
memristor/mep2
bc5cddacba3d740f791f3454b8cb51bda83ce202
[ "MIT" ]
2
2018-10-20T15:48:40.000Z
2018-11-20T05:11:33.000Z
modules/sensors/Activator.py
memristor/mep2
bc5cddacba3d740f791f3454b8cb51bda83ce202
[ "MIT" ]
1
2020-02-07T12:44:47.000Z
2020-02-07T12:44:47.000Z
import asyncio class Activator: def __init__(self, name, packet_stream=None): self.ps = None self.name = name self.future = None self.data = 0 self.state = '' if packet_stream: self.set_packet_stream(packet_stream) @_core.module_cmd def wait_activator(self): pass @_core.module_cmd def check...
24
66
0.705285
150
984
4.393333
0.266667
0.091047
0.059181
0.086495
0.151745
0.060698
0
0
0
0
0
0.009828
0.172764
984
40
67
24.6
0.799754
0
0
0.147059
0
0
0.131098
0
0
0
0
0
0
1
0.176471
false
0.029412
0.029412
0
0.235294
0.088235
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a5dfe986967f5b7fa8e3f7e5dcaa1ed0f98f18
7,779
py
Python
examples/retrieval/evaluation/sparse/evaluate_deepct.py
ArthurCamara/beir
2739990b719f2d4814d88473cf9965d92d4f4c18
[ "Apache-2.0" ]
24
2022-03-20T18:48:52.000Z
2022-03-31T08:28:42.000Z
examples/retrieval/evaluation/sparse/evaluate_deepct.py
ArthurCamara/beir
2739990b719f2d4814d88473cf9965d92d4f4c18
[ "Apache-2.0" ]
9
2022-03-19T14:50:30.000Z
2022-03-30T17:31:18.000Z
examples/retrieval/evaluation/sparse/evaluate_deepct.py
ArthurCamara/beir
2739990b719f2d4814d88473cf9965d92d4f4c18
[ "Apache-2.0" ]
3
2022-03-25T15:45:14.000Z
2022-03-25T17:51:23.000Z
""" This example shows how to evaluate DeepCT (using Anserini) in BEIR. For more details on DeepCT, refer here: https://arxiv.org/abs/1910.10687 The original DeepCT repository is not modularised and only works with Tensorflow 1.x (1.15). We modified the DeepCT repository to work with Tensorflow latest (2.x). We do not...
56.781022
189
0.655354
1,032
7,779
4.825581
0.333333
0.03253
0.042169
0.018474
0.186948
0.145984
0.109036
0.087349
0.071285
0.071285
0
0.018059
0.202725
7,779
136
190
57.198529
0.784908
0.421391
0
0.032787
0
0.04918
0.150146
0.005345
0
0
0
0
0
1
0
false
0
0.163934
0
0.163934
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a684609779826c5d7b8e2a668f0007ffd391fe
3,018
py
Python
Examples/Space Truss - Nodal Load.py
AmirHosseinNamadchi/PyNite
8cc1fe3262e1efe029c6860394d2436601272e33
[ "MIT" ]
2
2022-02-26T23:11:19.000Z
2022-02-26T23:11:21.000Z
Examples/Space Truss - Nodal Load.py
AmirHosseinNamadchi/PyNite
8cc1fe3262e1efe029c6860394d2436601272e33
[ "MIT" ]
null
null
null
Examples/Space Truss - Nodal Load.py
AmirHosseinNamadchi/PyNite
8cc1fe3262e1efe029c6860394d2436601272e33
[ "MIT" ]
2
2020-08-27T15:36:42.000Z
2020-10-02T00:29:22.000Z
# Engineering Mechanics: Statics, 4th Edition # Bedford and Fowler # Problem 6.64 # Units for this model are meters and kilonewtons # Import 'FEModel3D' and 'Visualization' from 'PyNite' from PyNite import FEModel3D from PyNite import Visualization # Create a new model truss = FEModel3D() # Define the nodes truss.Ad...
44.382353
142
0.674619
460
3,018
4.421739
0.308696
0.147493
0.147493
0.070796
0.366273
0.366273
0.292035
0.292035
0.235988
0.175025
0
0.060852
0.183234
3,018
67
143
45.044776
0.7643
0.292247
0
0.128205
0
0
0.142655
0
0
0
0
0
0
1
0
false
0
0.051282
0
0.051282
0.153846
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a6c416bd8a2d26fc2585b919cf37090ef128d8
322
py
Python
Using Yagmail to make sending emails easier.py
CodeMaster7000/Sending-Emails-in-Python
2ec44f6520a6b98508c8adf372a191f2577fbf98
[ "MIT" ]
1
2021-12-23T15:42:01.000Z
2021-12-23T15:42:01.000Z
Using Yagmail to make sending emails easier.py
CodeMaster7000/Sending-Emails-in-Python
2ec44f6520a6b98508c8adf372a191f2577fbf98
[ "MIT" ]
null
null
null
Using Yagmail to make sending emails easier.py
CodeMaster7000/Sending-Emails-in-Python
2ec44f6520a6b98508c8adf372a191f2577fbf98
[ "MIT" ]
null
null
null
import yagmail receiver = "your@gmail.com" #Receiver's gmail address body = "Hello there from Yagmail" filename = "document.pdf" yag = yagmail.SMTP("my@gmail.com")#Your gmail address yag.send( to=receiver, subject="Yagmail test (attachment included", contents=body, attachments=filename, )...
23
54
0.689441
40
322
5.55
0.65
0.081081
0
0
0
0
0
0
0
0
0
0
0.195652
322
13
55
24.769231
0.857143
0.130435
0
0
0
0
0.358491
0
0
0
0
0
0
1
0
false
0
0.090909
0
0.090909
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a6cec9904df1ff0e2230e88f7f8978eeccd5f8
5,064
py
Python
pycad/py_src/transformations.py
markendr/esys-escript.github.io
0023eab09cd71f830ab098cb3a468e6139191e8d
[ "Apache-2.0" ]
null
null
null
pycad/py_src/transformations.py
markendr/esys-escript.github.io
0023eab09cd71f830ab098cb3a468e6139191e8d
[ "Apache-2.0" ]
null
null
null
pycad/py_src/transformations.py
markendr/esys-escript.github.io
0023eab09cd71f830ab098cb3a468e6139191e8d
[ "Apache-2.0" ]
null
null
null
############################################################################## # # Copyright (c) 2003-2020 by The University of Queensland # http://www.uq.edu.au # # Primary Business: Queensland, Australia # Licensed under the Apache License, version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # # Development unt...
29.788235
124
0.610585
664
5,064
4.388554
0.256024
0.037749
0.030199
0.02059
0.24674
0.226836
0.19046
0.18394
0.135896
0.11256
0
0.024063
0.220379
5,064
169
125
29.964497
0.714032
0.21643
0
0.173333
0
0
0.109346
0
0
0
0
0
0
1
0.146667
false
0.013333
0.04
0
0.346667
0.013333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a6efea0d126676c34a41838cc4fe1e41395646
1,116
py
Python
example/complex_scalar_star_solver.py
ThomasHelfer/BosonStar
5442a6e6171122a3ba1d6b079e6483ab72aa7338
[ "MIT" ]
2
2021-04-07T13:20:11.000Z
2021-04-07T17:11:25.000Z
example/complex_scalar_star_solver.py
ThomasHelfer/BosonStar
5442a6e6171122a3ba1d6b079e6483ab72aa7338
[ "MIT" ]
1
2021-06-14T15:40:25.000Z
2021-06-14T15:40:25.000Z
example/complex_scalar_star_solver.py
ThomasHelfer/BosonStar
5442a6e6171122a3ba1d6b079e6483ab72aa7338
[ "MIT" ]
null
null
null
from bosonstar.ComplexBosonStar import Complex_Boson_Star # ===================== # All imporntnat definitions # ===================== # Physics defintions phi0 = 0.40 # centeral phi D = 5.0 # Dimension (total not only spacial) Lambda = -0.2 # Cosmological constant # Solver definitions Rst...
24.26087
78
0.580645
125
1,116
5.016
0.688
0.038278
0.051037
0.044657
0.060606
0
0
0
0
0
0
0.034847
0.151434
1,116
45
79
24.8
0.627244
0.464158
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.05
0
0.05
0.1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a71c335f605cc7723cb3705f2699bfe1e1693b
796
py
Python
setup.py
ouyhlan/fastNLP
cac13311e28c1e8e3c866d50656173650eb5c7a1
[ "Apache-2.0" ]
2,693
2018-03-08T03:09:20.000Z
2022-03-30T07:38:42.000Z
setup.py
ouyhlan/fastNLP
cac13311e28c1e8e3c866d50656173650eb5c7a1
[ "Apache-2.0" ]
291
2018-07-21T07:43:17.000Z
2022-03-07T13:06:58.000Z
setup.py
ouyhlan/fastNLP
cac13311e28c1e8e3c866d50656173650eb5c7a1
[ "Apache-2.0" ]
514
2018-03-09T06:54:25.000Z
2022-03-26T20:11:44.000Z
#!/usr/bin/env python # coding=utf-8 from setuptools import setup, find_packages with open('README.md', encoding='utf-8') as f: readme = f.read() with open('LICENSE', encoding='utf-8') as f: license = f.read() with open('requirements.txt', encoding='utf-8') as f: reqs = f.read() pkgs = [p for p in find_...
26.533333
90
0.675879
114
796
4.649123
0.561404
0.030189
0.067925
0.079245
0.084906
0
0
0
0
0
0
0.013514
0.163317
796
29
91
27.448276
0.782282
0.041457
0
0
0
0
0.291721
0
0
0
0
0
0
1
0
false
0
0.045455
0
0.045455
0.045455
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4a7f2382cdb35d8940e5dd478b2dac3b5b10bd0
752
py
Python
Module1/file3.py
modulo16/PfNE
9706afc42c44dcfd1490e5ac074156f41e5515a8
[ "Unlicense" ]
null
null
null
Module1/file3.py
modulo16/PfNE
9706afc42c44dcfd1490e5ac074156f41e5515a8
[ "Unlicense" ]
null
null
null
Module1/file3.py
modulo16/PfNE
9706afc42c44dcfd1490e5ac074156f41e5515a8
[ "Unlicense" ]
null
null
null
from __future__ import print_function, unicode_literals #Ensures Unicode is used for all strings. my_str = 'whatever' #Shows the String type, which should be unicode type(my_str) #declare string: ip_addr = '192.168.1.1' #check it with boolean:(True) ip_addr == '192.168.1.1' #(false) ip_addr == '10.1.1.1' #is this su...
18.8
76
0.731383
137
752
3.868613
0.525547
0.113208
0.045283
0.045283
0.05283
0.05283
0
0
0
0
0
0.05873
0.162234
752
39
77
19.282051
0.78254
0.543883
0
0
0
0
0.203647
0
0
0
0
0
0
1
0
false
0
0.066667
0
0.066667
0.066667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4acef5631789f4b877955db52847e8e212a8725
10,411
py
Python
pp_io_plugins/pp_kbddriver_plus.py
arcticmatter/pipresents-beep
e5945f929b47249f19b0cb3433a138e874b592db
[ "CNRI-Python", "CECILL-B" ]
null
null
null
pp_io_plugins/pp_kbddriver_plus.py
arcticmatter/pipresents-beep
e5945f929b47249f19b0cb3433a138e874b592db
[ "CNRI-Python", "CECILL-B" ]
null
null
null
pp_io_plugins/pp_kbddriver_plus.py
arcticmatter/pipresents-beep
e5945f929b47249f19b0cb3433a138e874b592db
[ "CNRI-Python", "CECILL-B" ]
null
null
null
#enhanced keyboard driver import copy import os import configparser from pp_displaymanager import DisplayManager class pp_kbddriver_plus(object): # control list items NAME=0 # symbolic name for input and output DIRECTION = 1 # in/out MATCH = 2 # for input the charac...
41.979839
134
0.589761
1,220
10,411
4.853279
0.201639
0.117041
0.159601
0.057423
0.312954
0.250633
0.200135
0.187975
0.174126
0.152846
0
0.000555
0.307463
10,411
247
135
42.149798
0.820666
0.266449
0
0.240876
0
0
0.080913
0.008844
0
0
0
0
0
1
0.087591
false
0.014599
0.036496
0.014599
0.277372
0.029197
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4b0acbd3ae55e6638c516e22ca4f69932aebab2
27,844
py
Python
project2/marriage.py
filipefborba/MarriageNSFG
d550301fbb9d80ddabf391a6168d2c8636113ed9
[ "MIT" ]
null
null
null
project2/marriage.py
filipefborba/MarriageNSFG
d550301fbb9d80ddabf391a6168d2c8636113ed9
[ "MIT" ]
null
null
null
project2/marriage.py
filipefborba/MarriageNSFG
d550301fbb9d80ddabf391a6168d2c8636113ed9
[ "MIT" ]
null
null
null
"""This file contains code for use with "Think Stats", by Allen B. Downey, available from greenteapress.com Copyright 2014 Allen B. Downey License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html """ from __future__ import print_function, division import bisect import numpy as np import pandas as pd import scipy.sta...
29.064718
79
0.599196
3,438
27,844
4.801629
0.173066
0.00836
0.029077
0.038769
0.454022
0.43064
0.393991
0.371699
0.326084
0.292767
0
0.074426
0.258799
27,844
957
80
29.095089
0.725458
0.211895
0
0.378987
0
0
0.131929
0.021021
0
0
0
0
0.045028
1
0.073171
false
0.003752
0.02439
0
0.138837
0.016886
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4b13f250b052bca7bffe7a5880d063d7c169a7e
3,955
py
Python
xfel/merging/application/reflection_table_utils.py
ErwinP/cctbx_project
58f9fb5ed38c7391510e892f0ca9520467b692c1
[ "BSD-3-Clause-LBNL" ]
null
null
null
xfel/merging/application/reflection_table_utils.py
ErwinP/cctbx_project
58f9fb5ed38c7391510e892f0ca9520467b692c1
[ "BSD-3-Clause-LBNL" ]
null
null
null
xfel/merging/application/reflection_table_utils.py
ErwinP/cctbx_project
58f9fb5ed38c7391510e892f0ca9520467b692c1
[ "BSD-3-Clause-LBNL" ]
null
null
null
from __future__ import absolute_import, division, print_function from six.moves import range from dials.array_family import flex import math class reflection_table_utils(object): @staticmethod def get_next_hkl_reflection_table(reflections): '''Generate asu hkl slices from an asu hkl-sorted reflection table'''...
40.357143
147
0.683439
501
3,955
5.189621
0.269461
0.075
0.032308
0.025385
0.246154
0.228462
0.173077
0.173077
0.120769
0.120769
0
0.007477
0.22225
3,955
97
148
40.773196
0.837776
0.22048
0
0.184211
0
0
0.144765
0.040971
0
0
0
0
0
1
0.078947
false
0
0.052632
0
0.210526
0.013158
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4b2a9a044269ea09a095573c7237e7f034915c1
5,359
py
Python
torchmetrics/retrieval/retrieval_fallout.py
rudaoshi/metrics
c018348619bd7e375cb86abf7dfcaddb7208a36d
[ "Apache-2.0" ]
null
null
null
torchmetrics/retrieval/retrieval_fallout.py
rudaoshi/metrics
c018348619bd7e375cb86abf7dfcaddb7208a36d
[ "Apache-2.0" ]
null
null
null
torchmetrics/retrieval/retrieval_fallout.py
rudaoshi/metrics
c018348619bd7e375cb86abf7dfcaddb7208a36d
[ "Apache-2.0" ]
null
null
null
# Copyright The PyTorch Lightning team. # # 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 i...
40.598485
120
0.630715
719
5,359
4.59388
0.336579
0.026642
0.041175
0.031789
0.038147
0.010294
0
0
0
0
0
0.012762
0.268893
5,359
131
121
40.908397
0.830271
0.552528
0
0
0
0
0.055505
0
0
0
0
0
0
1
0.0625
false
0
0.125
0.020833
0.270833
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4b523573d56f337047743520fa550fd29576318
13,961
py
Python
project/app/paste/controllers.py
An0nYm0u5101/Pastebin
aef35abee69ce7ce240d3a3f64bb19446468d30d
[ "MIT" ]
1
2020-08-08T06:07:47.000Z
2020-08-08T06:07:47.000Z
project/app/paste/controllers.py
An0nYm0u5101/Pastebin
aef35abee69ce7ce240d3a3f64bb19446468d30d
[ "MIT" ]
null
null
null
project/app/paste/controllers.py
An0nYm0u5101/Pastebin
aef35abee69ce7ce240d3a3f64bb19446468d30d
[ "MIT" ]
1
2020-08-08T06:07:50.000Z
2020-08-08T06:07:50.000Z
from flask import Blueprint, request, render_template, \ flash, g, session, redirect, url_for, jsonify from app import db, requires_auth from flask_cors import CORS from .models import Paste import uuid from datetime import datetime from app.user.models import User from pygments import highlight from pygments.lexers i...
34.302211
197
0.698016
2,077
13,961
4.46702
0.07222
0.069843
0.040957
0.037185
0.767299
0.692175
0.632141
0.577603
0.533844
0.492347
0
0.009761
0.148772
13,961
406
198
34.3867
0.770953
0.287658
0
0.580769
0
0
0.100539
0.006404
0
0
0
0
0
1
0.065385
false
0
0.05
0.003846
0.269231
0.007692
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4b56ca40567b39870ee94f1ef850a0b0b2f1d60
8,333
py
Python
control_drone/run_model_on_cam.py
Apiquet/DeepLearningFrameworkFromScratch
798ac42aa1a05286eb148576072e015fd94dbf94
[ "MIT" ]
1
2020-12-18T14:40:49.000Z
2020-12-18T14:40:49.000Z
control_drone/run_model_on_cam.py
Apiquet/DeepLearningFrameworkFromScratch
798ac42aa1a05286eb148576072e015fd94dbf94
[ "MIT" ]
null
null
null
control_drone/run_model_on_cam.py
Apiquet/DeepLearningFrameworkFromScratch
798ac42aa1a05286eb148576072e015fd94dbf94
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- """ This script run neural network model on a camera live stream """ import argparse import cv2 import numpy as np import os import time import sys COMMANDS = {0: "move_forward", 1: "go_down", 2: "rot_10_deg", 3: "go_up", 4: "take_off", 5: "land", 6: "idle"}...
29.867384
78
0.531621
979
8,333
4.40143
0.266599
0.027152
0.051288
0.026456
0.245301
0.229752
0.204456
0.129961
0.092365
0.086331
0
0.020654
0.343454
8,333
278
79
29.97482
0.766953
0.023881
0
0.280851
0
0
0.131546
0.008105
0
0
0
0
0
1
0.008511
false
0
0.038298
0
0.051064
0.046809
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
d4bc84fe21a49ee4da04551b3e65cc3308167280
2,449
py
Python
app/request.py
vincentmuya/News-highlight
67f61bb0bea69ec004c11a2148c62cd892a19615
[ "CNRI-Python" ]
null
null
null
app/request.py
vincentmuya/News-highlight
67f61bb0bea69ec004c11a2148c62cd892a19615
[ "CNRI-Python" ]
null
null
null
app/request.py
vincentmuya/News-highlight
67f61bb0bea69ec004c11a2148c62cd892a19615
[ "CNRI-Python" ]
null
null
null
import urllib.request import json from .models import News # Getting api key api_key = None # Getting the movie base url base_url = None def configure_request(app): global api_key,base_url api_key = app.config['NEWS_API_KEY'] base_url = app.config['NEWS_API_BASE_URL'] def get_news_source(country,category)...
33.094595
91
0.703144
316
2,449
5.142405
0.21519
0.051692
0.08
0.081231
0.172308
0.172308
0.172308
0.121846
0.076308
0
0
0
0.213965
2,449
73
92
33.547945
0.844156
0.094733
0
0.040816
0
0
0.0674
0
0
0
0
0
0
1
0.081633
false
0
0.061224
0
0.204082
0.020408
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0