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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
66d8ba6f365049a80533d4986a5c2cf0bb77bfb0 | 2,561 | py | Python | config/jupyter/jupyterhub_config.py | mhwasil/jupyterhub-on-gcloud | 9cfe935772d7599fa36c5b998cebb87c17e24277 | [
"MIT"
] | 3 | 2018-10-06T20:35:08.000Z | 2019-03-02T08:04:52.000Z | config/jupyter/jupyterhub_config.py | mhwasil/jupyterhub-on-gcloud | 9cfe935772d7599fa36c5b998cebb87c17e24277 | [
"MIT"
] | 4 | 2019-05-15T11:36:43.000Z | 2019-07-23T09:34:45.000Z | config/jupyter/jupyterhub_config.py | mhwasil/jupyterhub-on-gcloud | 9cfe935772d7599fa36c5b998cebb87c17e24277 | [
"MIT"
] | 2 | 2020-01-09T21:03:44.000Z | 2020-11-22T16:47:00.000Z | c = get_config()
c.JupyterHub.ip = u'127.0.0.1'
c.JupyterHub.port = 8000
c.JupyterHub.cookie_secret_file = u'/srv/jupyterhub/jupyterhub_cookie_secret'
c.JupyterHub.db_url = u'/srv/jupyterhub/jupyterhub.sqlite'
#c.JupyterHub.proxy_auth_token = u'/srv/jupyterhub/proxy_auth_token'
c.ConfigurableHTTPProxy.auth_token = u'/s... | 31.617284 | 78 | 0.643108 | 306 | 2,561 | 5.245098 | 0.362745 | 0.061682 | 0.034891 | 0.011215 | 0.196885 | 0.196885 | 0.145794 | 0.085981 | 0.085981 | 0 | 0 | 0.023245 | 0.193674 | 2,561 | 80 | 79 | 32.0125 | 0.753995 | 0.335025 | 0 | 0 | 0 | 0 | 0.286312 | 0.092648 | 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 |
66d95353965e38496015e85b754a89803b392d87 | 11,908 | py | Python | legacy/Environment.py | LaoKpa/reinforcement_trader | 1465731269e6d58900a28a040346bf45ffb5cf97 | [
"MIT"
] | 7 | 2020-09-28T23:36:40.000Z | 2022-02-22T02:00:32.000Z | legacy/Environment.py | LaoKpa/reinforcement_trader | 1465731269e6d58900a28a040346bf45ffb5cf97 | [
"MIT"
] | 4 | 2020-11-13T18:48:52.000Z | 2022-02-10T01:29:47.000Z | legacy/Environment.py | lzcaisg/reinforcement_trader | 1465731269e6d58900a28a040346bf45ffb5cf97 | [
"MIT"
] | 3 | 2020-11-23T17:31:59.000Z | 2021-04-08T10:55:03.000Z | import datetime
import warnings
import pandas as pd
import numpy as np
from MongoDBUtils import *
from scipy.optimize import fsolve
import pymongo
TRADING_FEE = 0.008
EARLIEST_DATE = datetime.datetime(2014, 10, 17)
LATEST_DATE = datetime.datetime(2019, 10, 17)
# In any cases, we shouldn't know today's and future val... | 36.527607 | 141 | 0.570037 | 1,161 | 11,908 | 5.761413 | 0.226529 | 0.069069 | 0.008222 | 0.020631 | 0.380625 | 0.311855 | 0.311855 | 0.237405 | 0.22395 | 0.204814 | 0 | 0.01911 | 0.318861 | 11,908 | 325 | 142 | 36.64 | 0.805573 | 0.169718 | 0 | 0.477778 | 0 | 0.005556 | 0.175005 | 0.061722 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061111 | false | 0.005556 | 0.038889 | 0 | 0.2 | 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 |
66d9e2205d4a01f644f0a6147e2760e0d6b2de38 | 579 | py | Python | examples/Titanic/titanic.py | mlflow/mlflow-torchserve | 91663b630ef12313da3ad821767faf3fc409345b | [
"Apache-2.0"
] | 40 | 2020-11-13T02:08:10.000Z | 2022-03-27T07:41:57.000Z | examples/Titanic/titanic.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 23 | 2020-11-16T11:28:01.000Z | 2021-09-23T11:28:24.000Z | examples/Titanic/titanic.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 15 | 2020-11-13T10:25:25.000Z | 2022-02-01T10:13:20.000Z | import torch.nn as nn
class TitanicSimpleNNModel(nn.Module):
def __init__(self):
super().__init__()
self.linear1 = nn.Linear(12, 12)
self.sigmoid1 = nn.Sigmoid()
self.linear2 = nn.Linear(12, 8)
self.sigmoid2 = nn.Sigmoid()
self.linear3 = nn.Linear(8, 2)
self... | 30.473684 | 64 | 0.62867 | 76 | 579 | 4.605263 | 0.407895 | 0.068571 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059633 | 0.246978 | 579 | 18 | 65 | 32.166667 | 0.743119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 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 |
66dcca39ba0172f5d72111b99f2df6a26ed3cb02 | 6,431 | py | Python | src/Datasets.py | fauxneticien/bnf_cnn_qbe-std | ab7dcb9c9d3d8969f1f17aaa87b7337d3ccfcc30 | [
"MIT"
] | 4 | 2021-03-26T17:18:59.000Z | 2022-03-21T18:28:56.000Z | src/Datasets.py | fauxneticien/bnf_cnn_qbe-std | ab7dcb9c9d3d8969f1f17aaa87b7337d3ccfcc30 | [
"MIT"
] | 1 | 2021-11-02T17:29:46.000Z | 2021-11-02T17:29:46.000Z | src/Datasets.py | fauxneticien/bnf_cnn_qbe-std | ab7dcb9c9d3d8969f1f17aaa87b7337d3ccfcc30 | [
"MIT"
] | 1 | 2020-11-11T05:04:55.000Z | 2020-11-11T05:04:55.000Z | import os
import torch
import numpy as np
import pandas as pd
from torch.utils.data import Dataset, DataLoader
from scipy.spatial.distance import cdist
import logging
class STD_Dataset(Dataset):
"""Spoken Term Detection dataset."""
def __init__(self, root_dir, labels_csv, query_dir, audio_dir, apply_vad = Fal... | 51.448 | 133 | 0.640647 | 958 | 6,431 | 4.102296 | 0.232777 | 0.028499 | 0.033079 | 0.024936 | 0.31374 | 0.284478 | 0.246819 | 0.207125 | 0.175064 | 0.09771 | 0 | 0.011684 | 0.254704 | 6,431 | 124 | 134 | 51.862903 | 0.808262 | 0.263412 | 0 | 0.028986 | 0 | 0 | 0.063239 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0.101449 | 0.014493 | 0.231884 | 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 |
66de338a8afcfc34368f70df12c0187b512a7430 | 3,209 | py | Python | dmz/store.py | yuvipanda/edit-stats | fb096715f18df999b4af4fb116e6c4130f24c2ec | [
"MIT"
] | null | null | null | dmz/store.py | yuvipanda/edit-stats | fb096715f18df999b4af4fb116e6c4130f24c2ec | [
"MIT"
] | null | null | null | dmz/store.py | yuvipanda/edit-stats | fb096715f18df999b4af4fb116e6c4130f24c2ec | [
"MIT"
] | null | null | null | """Implements a db backed storage area for intermediate results"""
import sqlite3
class Store(object):
"""
Represents an sqlite3 backed storage area that's vaguely key value
modeled for intermediate storage about metadata / data for metrics
about multiple wikis that have some underlying country relate... | 38.662651 | 111 | 0.600499 | 422 | 3,209 | 4.469194 | 0.234597 | 0.059385 | 0.034995 | 0.040297 | 0.530223 | 0.416755 | 0.347296 | 0.274655 | 0.136797 | 0.116119 | 0 | 0.00262 | 0.286382 | 3,209 | 82 | 112 | 39.134146 | 0.820961 | 0.229355 | 0 | 0.423077 | 0 | 0 | 0.313577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.019231 | 0 | 0.269231 | 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 |
66e356546289b5293424a7a6ad3ffb4afce031ec | 7,074 | py | Python | main.py | usdot-its-jpo-data-portal/metadata-query-function | 589e5df691fab82e264ce74196dd797b9eb17f5e | [
"Apache-2.0"
] | null | null | null | main.py | usdot-its-jpo-data-portal/metadata-query-function | 589e5df691fab82e264ce74196dd797b9eb17f5e | [
"Apache-2.0"
] | null | null | null | main.py | usdot-its-jpo-data-portal/metadata-query-function | 589e5df691fab82e264ce74196dd797b9eb17f5e | [
"Apache-2.0"
] | 1 | 2021-12-14T18:00:20.000Z | 2021-12-14T18:00:20.000Z | import boto3
import dateutil
import glob
import json
import logging
import os
import queue
import time
from queries import MetadataQueries
USE_LOCAL_DATA = True # whether to load data from S3 (false) or locally (true)
LOCAL_DATA_REPOSITORY = "s3data/usdot-its-cvpilot-public-data" # path to local directory containing s... | 46.235294 | 227 | 0.669918 | 931 | 7,074 | 4.789474 | 0.201933 | 0.009868 | 0.009419 | 0.037677 | 0.393137 | 0.230994 | 0.184571 | 0.130971 | 0.058309 | 0.058309 | 0 | 0.024844 | 0.209075 | 7,074 | 152 | 228 | 46.539474 | 0.772118 | 0.052446 | 0 | 0.155039 | 0 | 0.007752 | 0.253555 | 0.073342 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03876 | false | 0 | 0.069767 | 0 | 0.170543 | 0.186047 | 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 |
66e36f3c188b5158455460f11322fdc4021ffe06 | 1,070 | py | Python | example_config/SecretConfig.py | axiegamingph-dev/discordaxieqrbot | fac9b3f325b98d21ece12445ec798c125d06f788 | [
"MIT"
] | null | null | null | example_config/SecretConfig.py | axiegamingph-dev/discordaxieqrbot | fac9b3f325b98d21ece12445ec798c125d06f788 | [
"MIT"
] | null | null | null | example_config/SecretConfig.py | axiegamingph-dev/discordaxieqrbot | fac9b3f325b98d21ece12445ec798c125d06f788 | [
"MIT"
] | 2 | 2022-01-13T18:45:26.000Z | 2022-03-03T11:50:43.000Z | Managers = ['Shim', 'Mike', 'Ryan', 'Kevin', 'Wessa', 'ser0wl']
# google spreedsheet id
ISKO_SPREADSHEET_ID = ''
# the list of names with discord ID
ISKO_DiscordAccount = 'DiscordAccount!A2:B100'
# the list of Names, ronin address, ronin private keys
# eg:
# Name | Address | Privat... | 33.4375 | 94 | 0.699065 | 119 | 1,070 | 6.210084 | 0.537815 | 0.024357 | 0.044655 | 0.037889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138824 | 0.205607 | 1,070 | 31 | 95 | 34.516129 | 0.730588 | 0.67757 | 0 | 0 | 0 | 0 | 0.256098 | 0.134146 | 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 |
66e492eef799f5d354e84f2867ee89f9c4cd7b7a | 200 | py | Python | tests/button_test.py | almasgai/Drone | 1223375976baf79d0f4362d42287d1a4039ba1e9 | [
"MIT"
] | null | null | null | tests/button_test.py | almasgai/Drone | 1223375976baf79d0f4362d42287d1a4039ba1e9 | [
"MIT"
] | null | null | null | tests/button_test.py | almasgai/Drone | 1223375976baf79d0f4362d42287d1a4039ba1e9 | [
"MIT"
] | null | null | null | from gpiozero import Button
import os
from time import sleep
button = Button(2)
i = 0
while True:
if button.is_pressed:
print(i, ". I've been pressed")
i += 1
sleep(0.1)
| 15.384615 | 39 | 0.61 | 32 | 200 | 3.78125 | 0.59375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035461 | 0.295 | 200 | 12 | 40 | 16.666667 | 0.822695 | 0 | 0 | 0 | 0 | 0 | 0.095 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 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 |
66e5419754e56410c068112926f27e01cdae86bb | 820 | py | Python | reprojection.py | ekrell/nir2watermap | 5253f2cde142a62103eb06fb2931c9aed6431211 | [
"MIT"
] | null | null | null | reprojection.py | ekrell/nir2watermap | 5253f2cde142a62103eb06fb2931c9aed6431211 | [
"MIT"
] | null | null | null | reprojection.py | ekrell/nir2watermap | 5253f2cde142a62103eb06fb2931c9aed6431211 | [
"MIT"
] | null | null | null | import rasterio
from rasterio.plot import show, reshape_as_raster, reshape_as_image, adjust_band
from rasterio import warp
import numpy as np
def reprojectio(img, bounds, transform, projection = "epsg:4326", resolution = 0.00001):
# Reproject
transform, width, height = warp.calculate_default_transform( \
... | 37.272727 | 91 | 0.680488 | 105 | 820 | 5.180952 | 0.47619 | 0.044118 | 0.033088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032061 | 0.20122 | 820 | 21 | 92 | 39.047619 | 0.798473 | 0.010976 | 0 | 0 | 0 | 0 | 0.032178 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.25 | 0 | 0.375 | 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 |
66e80248874252f8ee1fc31cfa1763523a5f99eb | 4,034 | py | Python | opentsdb/push_thread.py | razvandimescu/opentsdb-py | 61c15302468769121f94323493e88cb51efcea15 | [
"MIT"
] | 48 | 2016-12-27T10:11:41.000Z | 2021-11-15T16:05:24.000Z | opentsdb/push_thread.py | razvandimescu/opentsdb-py | 61c15302468769121f94323493e88cb51efcea15 | [
"MIT"
] | 8 | 2017-10-08T16:20:30.000Z | 2022-02-23T08:36:52.000Z | opentsdb/push_thread.py | razvandimescu/opentsdb-py | 61c15302468769121f94323493e88cb51efcea15 | [
"MIT"
] | 17 | 2017-10-01T01:14:55.000Z | 2021-11-15T16:05:24.000Z | from logging import getLogger
from queue import Empty
import threading
import random
import time
logger = getLogger('opentsdb-py')
class PushThread(threading.Thread):
WAIT_NEXT_METRIC_TIMEOUT = 3
def __init__(self, tsdb_connect, metrics_queue, close_client,
send_metrics_limit, send_metrics... | 32.015873 | 119 | 0.617005 | 459 | 4,034 | 5.141612 | 0.213508 | 0.074576 | 0.047458 | 0.050847 | 0.359322 | 0.236441 | 0.174576 | 0.144915 | 0.144915 | 0.144915 | 0 | 0.003892 | 0.299455 | 4,034 | 125 | 120 | 32.272 | 0.83121 | 0 | 0 | 0.285714 | 0 | 0 | 0.03297 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122449 | false | 0.010204 | 0.05102 | 0.010204 | 0.244898 | 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 |
66ee56f212ce0df2c239268cabb21b8541c895a2 | 1,063 | py | Python | Week02/Assignment/jstoppelman_01.py | nkruyer/SkillsWorkshop2018 | 2201255ff63eca111635789267d0600a95854c38 | [
"BSD-3-Clause"
] | 1 | 2020-04-18T03:30:46.000Z | 2020-04-18T03:30:46.000Z | Week02/Assignment/jstoppelman_01.py | nkruyer/SkillsWorkshop2018 | 2201255ff63eca111635789267d0600a95854c38 | [
"BSD-3-Clause"
] | 21 | 2018-07-12T19:12:23.000Z | 2018-08-10T13:52:45.000Z | Week02/Assignment/jstoppelman_01.py | nkruyer/SkillsWorkshop2018 | 2201255ff63eca111635789267d0600a95854c38 | [
"BSD-3-Clause"
] | 60 | 2018-05-08T16:59:20.000Z | 2018-08-01T14:28:28.000Z | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
from scipy.integrate import simps
from scipy.optimize import curve_fit
def curve3(x,a,b,c,d):
return a*x**3+b*x**2+c*x+d
def BIC(y, yhat, k, weight = 1):
err = y - yhat
sigma = np.std(np.real(err))
n = len(y)
B = n*np.log(sigm... | 26.575 | 125 | 0.590781 | 235 | 1,063 | 2.659574 | 0.4 | 0.056 | 0.0624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130045 | 0.160865 | 1,063 | 39 | 126 | 27.25641 | 0.570628 | 0.047037 | 0 | 0 | 0 | 0 | 0.039604 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0.03125 | 0.25 | 0.0625 | 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 |
66f14722457fd9966ac9b7749eb637bceaf702bb | 5,464 | py | Python | websauna/system/devop/cmdline.py | stevepiercy/websauna | 2886b86f7920d75900c634958779d61aa73f011b | [
"CNRI-Python"
] | null | null | null | websauna/system/devop/cmdline.py | stevepiercy/websauna | 2886b86f7920d75900c634958779d61aa73f011b | [
"CNRI-Python"
] | null | null | null | websauna/system/devop/cmdline.py | stevepiercy/websauna | 2886b86f7920d75900c634958779d61aa73f011b | [
"CNRI-Python"
] | null | null | null | """Helper functions to initializer Websauna framework for command line applications."""
# Standard Library
import logging
import os
import sys
import typing as t
# Pyramid
import plaster
from pyramid import router
from pyramid import scripting
from rainbow_logging_handler import RainbowLoggingHandler
# Websauna
from... | 31.583815 | 124 | 0.731149 | 705 | 5,464 | 5.516312 | 0.29078 | 0.06017 | 0.023142 | 0.016971 | 0.244279 | 0.217537 | 0.198509 | 0.198509 | 0.181538 | 0.181538 | 0 | 0.000449 | 0.184846 | 5,464 | 172 | 125 | 31.767442 | 0.872699 | 0.380307 | 0 | 0.197183 | 0 | 0 | 0.084914 | 0.012442 | 0 | 0 | 0 | 0.005814 | 0.014085 | 1 | 0.098592 | false | 0 | 0.169014 | 0 | 0.338028 | 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 |
dd0515ae81e31b3081572aafa51d5253637ae85f | 2,010 | py | Python | src/apd/aggregation/actions/base.py | MatthewWilkes/apd.aggregation | 427fa908f45332d623295f92e1ccfdaf545d6997 | [
"BSD-3-Clause"
] | null | null | null | src/apd/aggregation/actions/base.py | MatthewWilkes/apd.aggregation | 427fa908f45332d623295f92e1ccfdaf545d6997 | [
"BSD-3-Clause"
] | 11 | 2020-11-23T21:36:48.000Z | 2022-03-12T00:48:58.000Z | src/apd/aggregation/actions/base.py | MatthewWilkes/apd.aggregation | 427fa908f45332d623295f92e1ccfdaf545d6997 | [
"BSD-3-Clause"
] | 1 | 2020-08-09T01:47:59.000Z | 2020-08-09T01:47:59.000Z | import typing as t
from ..typing import T_value
from ..database import DataPoint
from ..exceptions import NoDataForTrigger
class Trigger(t.Generic[T_value]):
name: str
async def start(self) -> None:
"""Coroutine to do any initial setup"""
return
async def match(self, datapoint: DataPoin... | 31.904762 | 77 | 0.636816 | 235 | 2,010 | 5.412766 | 0.365957 | 0.037736 | 0.069182 | 0.02673 | 0.290881 | 0.290881 | 0.246855 | 0.246855 | 0.246855 | 0.246855 | 0 | 0 | 0.288557 | 2,010 | 62 | 78 | 32.419355 | 0.88951 | 0.031841 | 0 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 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 |
dd05c5af3b4de9bb3a156483a19f52a9e8f9c454 | 1,056 | py | Python | scripts/32_Model_Parse_SPRING/24_Collect_Test_Gold_Graphs.py | MeghaTiya/amrlib | 61febbd1ed15d64e3f01126eaeea46211d42e738 | [
"MIT"
] | null | null | null | scripts/32_Model_Parse_SPRING/24_Collect_Test_Gold_Graphs.py | MeghaTiya/amrlib | 61febbd1ed15d64e3f01126eaeea46211d42e738 | [
"MIT"
] | null | null | null | scripts/32_Model_Parse_SPRING/24_Collect_Test_Gold_Graphs.py | MeghaTiya/amrlib | 61febbd1ed15d64e3f01126eaeea46211d42e738 | [
"MIT"
] | 1 | 2022-02-09T16:20:42.000Z | 2022-02-09T16:20:42.000Z | #!/usr/bin/python3
import setup_run_dir # Set the working directory and python sys.path to 2 levels above
import os
from glob import glob
from amrlib.graph_processing.amr_loading_raw import load_raw_amr
# Collect all the amr graphs from multiple files and create a gold test file.
# This simply concatenates fil... | 37.714286 | 94 | 0.705492 | 167 | 1,056 | 4.299401 | 0.550898 | 0.061281 | 0.027855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004739 | 0.200758 | 1,056 | 27 | 95 | 39.111111 | 0.845972 | 0.35322 | 0 | 0 | 0 | 0 | 0.251479 | 0.156805 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0.235294 | 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 |
dd0b8f696341df5e31ece62f9a50dbeb45afc875 | 5,175 | py | Python | ProxyCrawl/ProxyCrawl/rules.py | Time1ess/ProxyPool | c44e74e8045fc560e5fe905aa41135ecb3e6da98 | [
"MIT"
] | 18 | 2017-04-25T09:39:08.000Z | 2022-03-09T08:07:28.000Z | ProxyCrawl/ProxyCrawl/rules.py | ghosttyq/ProxyPool | c44e74e8045fc560e5fe905aa41135ecb3e6da98 | [
"MIT"
] | null | null | null | ProxyCrawl/ProxyCrawl/rules.py | ghosttyq/ProxyPool | c44e74e8045fc560e5fe905aa41135ecb3e6da98 | [
"MIT"
] | 10 | 2017-05-29T00:53:41.000Z | 2021-05-08T09:07:52.000Z | #!/usr/local/bin/python3
# coding: UTF-8
# Author: David
# Email: youchen.du@gmail.com
# Created: 2017-04-26 11:14
# Last modified: 2017-04-30 15:55
# Filename: rules.py
# Description:
import os
import redis
from scrapy.utils.conf import init_env
from ProxyCrawl.settings import PROJECT_ROOT
conn = redis.Redis(decod... | 26.813472 | 79 | 0.565217 | 639 | 5,175 | 4.358372 | 0.261346 | 0.051706 | 0.021544 | 0.022621 | 0.155117 | 0.123519 | 0.123519 | 0.100539 | 0.075404 | 0.075404 | 0 | 0.009412 | 0.322512 | 5,175 | 192 | 80 | 26.953125 | 0.78494 | 0.182222 | 0 | 0.278846 | 0 | 0 | 0.093956 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144231 | false | 0 | 0.038462 | 0.028846 | 0.307692 | 0.009615 | 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 |
dd118309b83096677693134bb6b0d70a964e1ab7 | 1,157 | py | Python | fastquotes/fund/__init__.py | YangzhenZhao/fastquotes | 1faba9f7fc7801a11359001e08cefa9cfbc41d64 | [
"MIT"
] | 4 | 2020-11-18T11:25:00.000Z | 2021-04-08T01:02:49.000Z | fastquotes/fund/__init__.py | YangzhenZhao/fastquotes | 1faba9f7fc7801a11359001e08cefa9cfbc41d64 | [
"MIT"
] | null | null | null | fastquotes/fund/__init__.py | YangzhenZhao/fastquotes | 1faba9f7fc7801a11359001e08cefa9cfbc41d64 | [
"MIT"
] | 1 | 2020-11-18T11:25:01.000Z | 2020-11-18T11:25:01.000Z | import json
import requests
def fund_intro_dict() -> dict:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36"
}
url = "http://fund.eastmoney.com/js/fundcode_search.js"
res = requests.get(ur... | 29.666667 | 83 | 0.586863 | 158 | 1,157 | 4.158228 | 0.556962 | 0.048706 | 0.042618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053348 | 0.238548 | 1,157 | 38 | 84 | 30.447368 | 0.692395 | 0 | 0 | 0 | 0 | 0.030303 | 0.355229 | 0.075194 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.060606 | 0 | 0.181818 | 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 |
dd17680bbd248da6c5086919dd5e04da84e0dd2e | 15,119 | py | Python | udebs/interpret.py | recrm/Udebs | d7e8e248e7afaf6559f2a96ce5dd6e2698d65af7 | [
"MIT"
] | 6 | 2017-08-20T02:48:12.000Z | 2020-09-04T21:46:35.000Z | udebs/interpret.py | recrm/Udebs | d7e8e248e7afaf6559f2a96ce5dd6e2698d65af7 | [
"MIT"
] | null | null | null | udebs/interpret.py | recrm/Udebs | d7e8e248e7afaf6559f2a96ce5dd6e2698d65af7 | [
"MIT"
] | 1 | 2019-08-28T00:48:43.000Z | 2019-08-28T00:48:43.000Z | import copy
import json
import itertools
import os
import operator
from .errors import *
# ---------------------------------------------------
# Imports and Variables -
# ---------------------------------------------------
class Standard:
"""
Basic functionality wrappers.
Do ... | 25.031457 | 102 | 0.511674 | 1,610 | 15,119 | 4.750932 | 0.196894 | 0.045104 | 0.034514 | 0.035691 | 0.224605 | 0.16525 | 0.114786 | 0.114786 | 0.090469 | 0.077919 | 0 | 0.006142 | 0.343078 | 15,119 | 603 | 103 | 25.072968 | 0.763995 | 0.274092 | 0 | 0.220779 | 0 | 0 | 0.039885 | 0.002183 | 0 | 0 | 0 | 0.001658 | 0 | 1 | 0.116883 | false | 0.003247 | 0.042208 | 0.012987 | 0.347403 | 0.022727 | 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 |
dd1a79c02a429daf639fa22cee8d29423011e935 | 12,150 | py | Python | src/predict.py | yzhhome/JDProductSummaryGeneration | 4939f061ca90ad7ddd69b5a1794735f962e45bc0 | [
"MIT"
] | 1 | 2021-09-18T07:42:36.000Z | 2021-09-18T07:42:36.000Z | src/predict.py | yzhhome/JDProductSummaryGeneration | 4939f061ca90ad7ddd69b5a1794735f962e45bc0 | [
"MIT"
] | null | null | null | src/predict.py | yzhhome/JDProductSummaryGeneration | 4939f061ca90ad7ddd69b5a1794735f962e45bc0 | [
"MIT"
] | null | null | null | '''
@Author: dzy
@Date: 2021-09-13 11:07:48
@LastEditTime: 2021-09-26 20:25:17
@LastEditors: dzy
@Description: Helper functions or classes used for the model.
@FilePath: /JDProductSummaryGeneration/src/predict.py
'''
import random
import os
import sys
import pathlib
import torch
import jieba
import config
from model i... | 38.087774 | 85 | 0.535885 | 1,336 | 12,150 | 4.701347 | 0.241766 | 0.030091 | 0.028976 | 0.009553 | 0.263652 | 0.251234 | 0.244865 | 0.219073 | 0.184047 | 0.152205 | 0 | 0.007599 | 0.382634 | 12,150 | 319 | 86 | 38.087774 | 0.829756 | 0.2893 | 0 | 0.251534 | 0 | 0 | 0.01507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030675 | false | 0 | 0.06135 | 0 | 0.122699 | 0.030675 | 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 |
dd1ed841552b8b3a90cb7777b80332b35c886661 | 7,621 | py | Python | PySyft_dev/FL_BC/cryptolib/wrapper_pyca.py | samuelxu999/FederatedLearning_dev | 354d951c53ee20eb41bf7980210d61b7a358d341 | [
"MIT"
] | null | null | null | PySyft_dev/FL_BC/cryptolib/wrapper_pyca.py | samuelxu999/FederatedLearning_dev | 354d951c53ee20eb41bf7980210d61b7a358d341 | [
"MIT"
] | 2 | 2021-03-17T23:27:00.000Z | 2021-03-17T23:27:01.000Z | PySyft_dev/FL_BC/cryptolib/wrapper_pyca.py | samuelxu999/FederatedLearning_dev | 354d951c53ee20eb41bf7980210d61b7a358d341 | [
"MIT"
] | 2 | 2019-04-23T22:13:18.000Z | 2019-08-19T01:39:51.000Z | '''
========================
Wrapper_pyca module
========================
Created on Nov.7, 2017
@author: Xu Ronghua
@Email: rxu22@binghamton.edu
@TaskDescription: This module provide cryptography function based on pyca API.
@Reference:https://cryptography.io/en/latest/
'''
from cryptography.fernet import Fernet
from... | 28.543071 | 124 | 0.746228 | 1,081 | 7,621 | 5.009251 | 0.152636 | 0.098061 | 0.035457 | 0.003693 | 0.384303 | 0.297507 | 0.253924 | 0.214958 | 0.189474 | 0.156233 | 0 | 0.004105 | 0.136859 | 7,621 | 266 | 125 | 28.650376 | 0.819094 | 0.142895 | 0 | 0.310345 | 0 | 0 | 0.045542 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12931 | false | 0.034483 | 0.060345 | 0 | 0.327586 | 0.051724 | 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 |
dd1f85e853fc4ae8cfcfa14f28add26fec35c361 | 693 | py | Python | src/utils/formatter.py | RuhuiCheng/ladybug | fa9e1ea660dd040d3ecfde96ad6c4db67df9bcb9 | [
"Apache-2.0"
] | 4 | 2020-03-14T10:43:29.000Z | 2020-09-23T11:15:44.000Z | src/utils/formatter.py | RuhuiCheng/ladybug | fa9e1ea660dd040d3ecfde96ad6c4db67df9bcb9 | [
"Apache-2.0"
] | null | null | null | src/utils/formatter.py | RuhuiCheng/ladybug | fa9e1ea660dd040d3ecfde96ad6c4db67df9bcb9 | [
"Apache-2.0"
] | null | null | null | import logging
import json
from src.utils.ucm import app_id, env
class JsonLogFormatter(logging.Formatter):
def format(self, record):
msg = ''
if record.exc_text is None:
msg = record.message
else:
msg = record.exc_text
data = {
'app_id': ''+app... | 26.653846 | 47 | 0.506494 | 70 | 693 | 4.871429 | 0.571429 | 0.043988 | 0.076246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.340548 | 693 | 25 | 48 | 27.72 | 0.746171 | 0 | 0 | 0 | 0 | 0 | 0.082251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.136364 | 0 | 0.272727 | 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 |
dd2300aac8a3080e89edc939e28aa0516c80f6a3 | 4,909 | py | Python | wotpy/wot/dictionaries/thing.py | JKRhb/wot-py | 3eaa780189b686c82b7dbdea404fd8077bd3c9f9 | [
"MIT"
] | null | null | null | wotpy/wot/dictionaries/thing.py | JKRhb/wot-py | 3eaa780189b686c82b7dbdea404fd8077bd3c9f9 | [
"MIT"
] | null | null | null | wotpy/wot/dictionaries/thing.py | JKRhb/wot-py | 3eaa780189b686c82b7dbdea404fd8077bd3c9f9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Wrapper class for dictionaries to represent Things.
"""
import six
from wotpy.wot.dictionaries.base import WotBaseDict
from wotpy.wot.dictionaries.interaction import PropertyFragmentDict, ActionFragmentDict, EventFragmentDict
from wotpy.wot.dictionaries.link import L... | 29.932927 | 106 | 0.606233 | 546 | 4,909 | 5.355311 | 0.274725 | 0.035568 | 0.030096 | 0.032832 | 0.230848 | 0.188782 | 0.150137 | 0.115253 | 0.115253 | 0.076265 | 0 | 0.000293 | 0.303728 | 4,909 | 163 | 107 | 30.116564 | 0.855178 | 0.259931 | 0 | 0.333333 | 0 | 0 | 0.077648 | 0 | 0 | 0 | 0 | 0 | 0.009804 | 1 | 0.078431 | false | 0 | 0.078431 | 0 | 0.303922 | 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 |
dd25b254cf6453ad21e303d8fb8dc65ace25ddf6 | 1,131 | py | Python | src/models/losses/corr_loss.py | yewzijian/RegTR | 64e5b3f0ccc1e1a11b514eb22734959d32e0cec6 | [
"MIT"
] | 25 | 2022-03-28T06:26:16.000Z | 2022-03-30T14:21:24.000Z | src/models/losses/corr_loss.py | yewzijian/RegTR | 64e5b3f0ccc1e1a11b514eb22734959d32e0cec6 | [
"MIT"
] | null | null | null | src/models/losses/corr_loss.py | yewzijian/RegTR | 64e5b3f0ccc1e1a11b514eb22734959d32e0cec6 | [
"MIT"
] | 2 | 2022-03-29T09:37:50.000Z | 2022-03-30T06:26:35.000Z | import torch
import torch.nn as nn
from utils.se3_torch import se3_transform_list
_EPS = 1e-6
class CorrCriterion(nn.Module):
"""Correspondence Loss.
"""
def __init__(self, metric='mae'):
super().__init__()
assert metric in ['mse', 'mae']
self.metric = metric
def forward(se... | 27.585366 | 112 | 0.625111 | 155 | 1,131 | 4.270968 | 0.380645 | 0.074018 | 0.072508 | 0.049849 | 0.060423 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013221 | 0.264368 | 1,131 | 40 | 113 | 28.275 | 0.782452 | 0.017683 | 0 | 0.076923 | 0 | 0 | 0.013649 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 1 | 0.076923 | false | 0 | 0.115385 | 0 | 0.269231 | 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 |
dd26b6dd687da7d2ec0ed40d629b6615e9538af8 | 501 | py | Python | application/services/balance_service.py | singnet/token-balances-service | 5e32b11bbad46e9df2820132026ab993935f8049 | [
"MIT"
] | null | null | null | application/services/balance_service.py | singnet/token-balances-service | 5e32b11bbad46e9df2820132026ab993935f8049 | [
"MIT"
] | 1 | 2021-04-07T14:40:02.000Z | 2021-04-07T14:40:02.000Z | application/services/balance_service.py | singnet/token-balances-service | 5e32b11bbad46e9df2820132026ab993935f8049 | [
"MIT"
] | 3 | 2021-04-07T14:12:00.000Z | 2021-04-27T07:18:34.000Z | from infrastructure.repository.token_snapshot_repo import TokenSnapshotRepo
from http import HTTPStatus
def get_snapshot_by_address(address):
balance = TokenSnapshotRepo().get_token_balance(address)
if balance is None:
data = None
statusCode = HTTPStatus.BAD_REQUEST.value
message = "A... | 27.833333 | 75 | 0.718563 | 56 | 501 | 6.285714 | 0.553571 | 0.113636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.223553 | 501 | 17 | 76 | 29.470588 | 0.904884 | 0 | 0 | 0 | 0 | 0 | 0.057884 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.307692 | 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 |
dd272efee44a376502bf4522d14dd1625b93c91b | 5,015 | py | Python | vaccine_allocation/TN_proj.py | COVID-IWG/epimargin-studies | 7d4a78e2e6713c6a0aea2cd2440529153e9a635d | [
"MIT"
] | null | null | null | vaccine_allocation/TN_proj.py | COVID-IWG/epimargin-studies | 7d4a78e2e6713c6a0aea2cd2440529153e9a635d | [
"MIT"
] | null | null | null | vaccine_allocation/TN_proj.py | COVID-IWG/epimargin-studies | 7d4a78e2e6713c6a0aea2cd2440529153e9a635d | [
"MIT"
] | null | null | null | from typing import Callable, Tuple
from epimargin.models import SIR
import pandas as pd
from epimargin.estimators import analytical_MPVS
from epimargin.etl.covid19india import data_path, get_time_series, load_all_data
import epimargin.plots as plt
from epimargin.smoothing import notched_smoothing
from epimargin.utils ... | 34.586207 | 131 | 0.656032 | 708 | 5,015 | 4.389831 | 0.269774 | 0.041828 | 0.016731 | 0.027027 | 0.220721 | 0.129987 | 0.045045 | 0 | 0 | 0 | 0 | 0.019652 | 0.208574 | 5,015 | 144 | 132 | 34.826389 | 0.763416 | 0.017348 | 0 | 0.017094 | 0 | 0 | 0.106439 | 0.041641 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008547 | false | 0.008547 | 0.094017 | 0 | 0.111111 | 0.008547 | 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 |
dd28575d99501b8ab89e76a54053a882db38d79c | 1,514 | py | Python | backend/db/test/id_allocator_test.py | xuantan/viewfinder | 992209086d01be0ef6506f325cf89b84d374f969 | [
"Apache-2.0"
] | 645 | 2015-01-03T02:03:59.000Z | 2021-12-03T08:43:16.000Z | backend/db/test/id_allocator_test.py | hoowang/viewfinder | 9caf4e75faa8070d85f605c91d4cfb52c4674588 | [
"Apache-2.0"
] | null | null | null | backend/db/test/id_allocator_test.py | hoowang/viewfinder | 9caf4e75faa8070d85f605c91d4cfb52c4674588 | [
"Apache-2.0"
] | 222 | 2015-01-07T05:00:52.000Z | 2021-12-06T09:54:26.000Z | # Copyright 2011 Viewfinder Inc. All Rights Reserved.
"""Tests for IdAllocator data object.
"""
__author__ = 'spencer@emailscrubbed.com (Spencer Kimball)'
import unittest
from viewfinder.backend.base import util
from viewfinder.backend.base.testing import async_test
from viewfinder.backend.db.id_allocator import Id... | 30.28 | 82 | 0.694188 | 205 | 1,514 | 4.960976 | 0.370732 | 0.035398 | 0.043265 | 0.041298 | 0.267453 | 0.220256 | 0.159292 | 0.082596 | 0 | 0 | 0 | 0.030303 | 0.193527 | 1,514 | 49 | 83 | 30.897959 | 0.802621 | 0.104359 | 0 | 0.235294 | 0 | 0 | 0.041199 | 0.018727 | 0 | 0 | 0 | 0 | 0.147059 | 1 | 0.117647 | false | 0 | 0.147059 | 0 | 0.294118 | 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 |
dd2928863b82fbf5dba0596d90335b5ef6bbbb9b | 2,429 | py | Python | ayame/link.py | hattya/ayame | e8bb2b0ace79cd358b1384270cb9c5e809e12b5d | [
"MIT"
] | 1 | 2022-03-05T03:21:13.000Z | 2022-03-05T03:21:13.000Z | ayame/link.py | hattya/ayame | e8bb2b0ace79cd358b1384270cb9c5e809e12b5d | [
"MIT"
] | 1 | 2021-08-25T13:41:34.000Z | 2021-08-25T13:41:34.000Z | ayame/link.py | hattya/ayame | e8bb2b0ace79cd358b1384270cb9c5e809e12b5d | [
"MIT"
] | 1 | 2018-03-04T21:47:27.000Z | 2018-03-04T21:47:27.000Z | #
# ayame.link
#
# Copyright (c) 2012-2021 Akinori Hattori <hattya@gmail.com>
#
# SPDX-License-Identifier: MIT
#
import urllib.parse
from . import core, markup, uri, util
from . import model as mm
from .exception import ComponentError
__all__ = ['Link', 'ActionLink', 'PageLink']
# HTML elements
_A = markup.QNa... | 26.692308 | 91 | 0.611774 | 311 | 2,429 | 4.569132 | 0.315113 | 0.054187 | 0.083744 | 0.108374 | 0.149191 | 0.030964 | 0 | 0 | 0 | 0 | 0 | 0.004507 | 0.269247 | 2,429 | 90 | 92 | 26.988889 | 0.796056 | 0.079868 | 0 | 0.034483 | 0 | 0 | 0.049055 | 0.009901 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0.017241 | 0.068966 | 0.034483 | 0.327586 | 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 |
dd2b8d0943d4247577bcc13dba218fa49f1ddda9 | 5,775 | py | Python | classes.py | mattjoman/deep-RL-snake | c1b48ef3cb7ac0ad068887df1f60bc83a626f9d6 | [
"MIT"
] | null | null | null | classes.py | mattjoman/deep-RL-snake | c1b48ef3cb7ac0ad068887df1f60bc83a626f9d6 | [
"MIT"
] | null | null | null | classes.py | mattjoman/deep-RL-snake | c1b48ef3cb7ac0ad068887df1f60bc83a626f9d6 | [
"MIT"
] | null | null | null | import pygame
import numpy as np
import random
import torch
from torch import nn
from torch.nn import functional as F
class CNN(torch.nn.Module):
def __init__(self):
super(CNN, self).__init__()
torch.manual_seed(50)
self.layer1 = nn.Sequential(
# input: (1, 1, 10, 10)
... | 26.612903 | 86 | 0.546667 | 809 | 5,775 | 3.731768 | 0.201483 | 0.029149 | 0.038755 | 0.019874 | 0.179861 | 0.14475 | 0.135807 | 0.084134 | 0.04836 | 0.04836 | 0 | 0.047424 | 0.324502 | 5,775 | 216 | 87 | 26.736111 | 0.72648 | 0.06684 | 0 | 0.222222 | 0 | 0 | 0.001491 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.124183 | false | 0 | 0.039216 | 0 | 0.30719 | 0.019608 | 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 |
dd34c031db159b934c285da9deacefad0961aecf | 762 | py | Python | src/server/alembic/versions/6b8cf99be000_add_user_journal_table.py | princessruthie/paws-data-pipeline | 6f7095f99b9ad31b0171b256cf18849d63445c91 | [
"MIT"
] | 27 | 2019-11-20T20:20:30.000Z | 2022-01-31T17:24:55.000Z | src/server/alembic/versions/6b8cf99be000_add_user_journal_table.py | mrcrnkovich/paws-data-pipeline | 7c0bd4c5f23276f541611cb564f2f5abbb6b9887 | [
"MIT"
] | 348 | 2019-11-26T20:34:02.000Z | 2022-02-27T20:28:20.000Z | src/server/alembic/versions/6b8cf99be000_add_user_journal_table.py | mrcrnkovich/paws-data-pipeline | 7c0bd4c5f23276f541611cb564f2f5abbb6b9887 | [
"MIT"
] | 20 | 2019-12-03T23:50:33.000Z | 2022-02-09T18:38:25.000Z | """Add user journal table
Revision ID: 6b8cf99be000
Revises: 36c4ecbfd11a
Create Date: 2020-12-21 15:08:07.784568
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql import func
# revision identifiers, used by Alembic.
revision = "6b8cf99be000"
down_revision = "36c4ecbfd11a"
branch_labels = None
... | 23.090909 | 83 | 0.692913 | 103 | 762 | 5 | 0.582524 | 0.07767 | 0.046602 | 0.073786 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08121 | 0.175853 | 762 | 32 | 84 | 23.8125 | 0.738854 | 0.198163 | 0 | 0 | 0 | 0 | 0.145937 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.277778 | 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 |
dd368cbbf1f2713371fc20b46be0df6fde83d872 | 1,906 | py | Python | Python/WearherTelegram/weatherbot.py | OnCode-channel/OnCode | 4aa7022932bc5aece39121233b34ebea12063717 | [
"CC0-1.0"
] | 3 | 2021-11-21T05:09:45.000Z | 2021-11-21T09:55:02.000Z | Python/WearherTelegram/weatherbot.py | OnCode-channel/OnCode | 4aa7022932bc5aece39121233b34ebea12063717 | [
"CC0-1.0"
] | null | null | null | Python/WearherTelegram/weatherbot.py | OnCode-channel/OnCode | 4aa7022932bc5aece39121233b34ebea12063717 | [
"CC0-1.0"
] | 1 | 2022-03-16T20:34:29.000Z | 2022-03-16T20:34:29.000Z | import telebot
from pyowm import OWM
from pyowm.utils.config import get_default_config
bot = telebot.TeleBot("telegram API-key")
@bot.message_handler(commands=['start'])
def welcome(message):
bot.send_message(message.chat.id, 'Добро пожаловать, ' + str(message.from_user.first_name) + ',\n/start - запуск бота\n/help ... | 32.862069 | 217 | 0.64638 | 277 | 1,906 | 4.364621 | 0.444043 | 0.02316 | 0.046319 | 0.069479 | 0.281224 | 0.281224 | 0.236559 | 0.180314 | 0.180314 | 0.180314 | 0 | 0.005732 | 0.176285 | 1,906 | 57 | 218 | 33.438596 | 0.761783 | 0 | 0 | 0 | 0 | 0.043478 | 0.304302 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.065217 | 0 | 0.130435 | 0.021739 | 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 |
dd3c5ef2c1c57128342b4cbe674344dc894fe7e9 | 14,427 | py | Python | projectroles/app_settings.py | olgabot/sodar_core | 2a012c962c763fe970261839226e848d752d14d5 | [
"MIT"
] | null | null | null | projectroles/app_settings.py | olgabot/sodar_core | 2a012c962c763fe970261839226e848d752d14d5 | [
"MIT"
] | null | null | null | projectroles/app_settings.py | olgabot/sodar_core | 2a012c962c763fe970261839226e848d752d14d5 | [
"MIT"
] | null | null | null | """Project and user settings API"""
import json
from projectroles.models import AppSetting, APP_SETTING_TYPES, SODAR_CONSTANTS
from projectroles.plugins import get_app_plugin, get_active_plugins
# SODAR constants
APP_SETTING_SCOPE_PROJECT = SODAR_CONSTANTS['APP_SETTING_SCOPE_PROJECT']
APP_SETTING_SCOPE_USER = SODAR_... | 32.938356 | 80 | 0.561932 | 1,633 | 14,427 | 4.785671 | 0.094305 | 0.029559 | 0.024952 | 0.025336 | 0.488548 | 0.434805 | 0.376328 | 0.329367 | 0.295457 | 0.26142 | 0 | 0 | 0.366674 | 14,427 | 437 | 81 | 33.01373 | 0.855314 | 0.266583 | 0 | 0.34252 | 0 | 0 | 0.109207 | 0.007903 | 0 | 0 | 0 | 0.002288 | 0 | 1 | 0.047244 | false | 0 | 0.011811 | 0 | 0.133858 | 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 |
dd3d84abfc37890e97980406a58c52b188bedbc3 | 2,835 | py | Python | util/2mass_catalog.py | spake/astrometry.net | 12c76f4a44fe90a009eeb962f2ae28b0791829b8 | [
"BSD-3-Clause"
] | 4 | 2018-02-13T23:11:40.000Z | 2021-09-30T16:02:22.000Z | util/2mass_catalog.py | spake/astrometry.net | 12c76f4a44fe90a009eeb962f2ae28b0791829b8 | [
"BSD-3-Clause"
] | null | null | null | util/2mass_catalog.py | spake/astrometry.net | 12c76f4a44fe90a009eeb962f2ae28b0791829b8 | [
"BSD-3-Clause"
] | 1 | 2019-02-11T06:56:30.000Z | 2019-02-11T06:56:30.000Z | #! /usr/bin/env python
# Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function
import sys
from optparse import OptionParser
try:
import pyfits
except ImportError:
try:
from astropy.io import fits as pyfits
except ImportError:
raise ImportError("Cann... | 28.35 | 113 | 0.610229 | 410 | 2,835 | 4.112195 | 0.382927 | 0.017794 | 0.035587 | 0.042705 | 0.04745 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013164 | 0.249735 | 2,835 | 99 | 114 | 28.636364 | 0.779502 | 0.083598 | 0 | 0.081081 | 0 | 0 | 0.190421 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013514 | false | 0.013514 | 0.162162 | 0 | 0.189189 | 0.22973 | 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 |
dd3f4f79ce1d8a927e706c3ca5d870ec9910cd7c | 682 | py | Python | models/nicknames.py | Tyson-Chicken-Nuggets/me-discord-leaderboard | d0e04c77e4f7a309cbb6315d24bd47929ba4ec54 | [
"MIT"
] | 4 | 2018-12-13T04:15:26.000Z | 2021-02-15T21:46:59.000Z | models/nicknames.py | Tyson-Chicken-Nuggets/me-discord-leaderboard | d0e04c77e4f7a309cbb6315d24bd47929ba4ec54 | [
"MIT"
] | 2 | 2019-05-17T18:47:18.000Z | 2020-09-26T01:31:39.000Z | models/nicknames.py | Tyson-Chicken-Nuggets/me-discord-leaderboard | d0e04c77e4f7a309cbb6315d24bd47929ba4ec54 | [
"MIT"
] | 1 | 2018-06-08T17:08:29.000Z | 2018-06-08T17:08:29.000Z | from sqlalchemy import Column, String, Integer, ForeignKey
from sqlalchemy.orm import relationship
from models.base import Base
from models.servers import Server
from models.users import User
class Nickname(Base):
__tablename__ = 'nicknames'
id = Column(Integer, primary_key=True)
user_id = Column(Integer... | 31 | 73 | 0.727273 | 84 | 682 | 5.72619 | 0.357143 | 0.091476 | 0.093555 | 0.10395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183284 | 682 | 21 | 74 | 32.47619 | 0.863555 | 0 | 0 | 0 | 0 | 0 | 0.039589 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.294118 | 0 | 0.823529 | 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 |
dd409f1079701595dd303cbae441bb3663ea68de | 755 | py | Python | hgtools/managers/library.py | jaraco/hgtools | 1090d139e5dbdab864da8f1917a9e674331b6f9b | [
"MIT"
] | 1 | 2017-05-17T15:12:29.000Z | 2017-05-17T15:12:29.000Z | hgtools/managers/library.py | jaraco/hgtools | 1090d139e5dbdab864da8f1917a9e674331b6f9b | [
"MIT"
] | 12 | 2016-01-01T14:43:44.000Z | 2021-10-03T02:13:19.000Z | hgtools/managers/library.py | jaraco/hgtools | 1090d139e5dbdab864da8f1917a9e674331b6f9b | [
"MIT"
] | null | null | null | import sys
from . import base
from . import cmd
from . import reentry
class MercurialInProcManager(cmd.Mercurial, base.RepoManager):
"""
A RepoManager implemented by invoking the hg command in-process.
"""
def _invoke(self, *params):
"""
Run the self.exe command in-process with the s... | 30.2 | 69 | 0.637086 | 90 | 755 | 5.311111 | 0.566667 | 0.062762 | 0.066946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003521 | 0.247682 | 755 | 24 | 70 | 31.458333 | 0.838028 | 0.166887 | 0 | 0 | 0 | 0 | 0.042373 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 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 |
dd41e5e1e67e9d900eb2ff0bece445448ea41207 | 1,775 | py | Python | controllers/__controller.py | VNCompany/vnforum | 770aca3a94ad1ed54628d48867c299d83215f75a | [
"Unlicense"
] | null | null | null | controllers/__controller.py | VNCompany/vnforum | 770aca3a94ad1ed54628d48867c299d83215f75a | [
"Unlicense"
] | null | null | null | controllers/__controller.py | VNCompany/vnforum | 770aca3a94ad1ed54628d48867c299d83215f75a | [
"Unlicense"
] | null | null | null | from flask import redirect, url_for, render_template
from flask_login import current_user
from components.pagination import html_pagination
from db_session import create_session
class Controller:
__view__ = None
__title__ = "Page"
view_includes = {}
jquery_enabled = True
db_session = None
de... | 34.803922 | 119 | 0.580845 | 203 | 1,775 | 4.807882 | 0.35468 | 0.090164 | 0.147541 | 0.058402 | 0.061475 | 0.061475 | 0.061475 | 0 | 0 | 0 | 0 | 0 | 0.292394 | 1,775 | 50 | 120 | 35.5 | 0.77707 | 0 | 0 | 0.097561 | 0 | 0.02439 | 0.131831 | 0.025352 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146341 | false | 0 | 0.097561 | 0.02439 | 0.463415 | 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 |
dd468535a193a7786f5ac49b546150a18ebcd261 | 1,172 | py | Python | setup.py | themightyoarfish/svcca | 23faa374489067c1c76cee44d92663c120603bdc | [
"Apache-2.0"
] | 8 | 2019-01-17T14:20:07.000Z | 2021-07-08T12:16:23.000Z | setup.py | themightyoarfish/svcca | 23faa374489067c1c76cee44d92663c120603bdc | [
"Apache-2.0"
] | 1 | 2019-01-30T11:44:25.000Z | 2019-02-07T15:02:02.000Z | setup.py | themightyoarfish/svcca-gpu | 23faa374489067c1c76cee44d92663c120603bdc | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from distutils.core import setup
import setuptools
import os
root_dir = os.path.abspath(os.path.dirname(__file__))
with open(f'{root_dir}/README.md') as f:
readme = f.read()
with open(f'{root_dir}/requirements.txt') as f:
requirements = f.read().split()
packages = setuptools.find_pack... | 33.485714 | 97 | 0.636519 | 133 | 1,172 | 5.518797 | 0.654135 | 0.02861 | 0.024523 | 0.035422 | 0.043597 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005549 | 0.231229 | 1,172 | 34 | 98 | 34.470588 | 0.809101 | 0.042662 | 0 | 0 | 0 | 0 | 0.399107 | 0.04375 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
dd4835795e462053f9d98a0abafa853d67dd9bfc | 829 | py | Python | urls.py | CodeForPhilly/philly_legislative | 5774100325b5374a0510674b4a542171fff3fcd3 | [
"BSD-Source-Code"
] | 2 | 2017-08-29T22:27:05.000Z | 2019-04-27T20:21:31.000Z | urls.py | CodeForPhilly/philly_legislative | 5774100325b5374a0510674b4a542171fff3fcd3 | [
"BSD-Source-Code"
] | null | null | null | urls.py | CodeForPhilly/philly_legislative | 5774100325b5374a0510674b4a542171fff3fcd3 | [
"BSD-Source-Code"
] | null | null | null | from django.conf.urls.defaults import *
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Example:
#(r'^philly_legislative/', include('philly_legislative.foo.urls')),
# Uncomment the admin/doc line below and add 'django.... | 33.16 | 76 | 0.671894 | 104 | 829 | 5.317308 | 0.451923 | 0.045208 | 0.057866 | 0.057866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147165 | 829 | 24 | 77 | 34.541667 | 0.782178 | 0.495778 | 0 | 0 | 0 | 0 | 0.383863 | 0.224939 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
dd486d1d0f1328a725ad7af4079cf4b9fc30ab88 | 2,510 | py | Python | irf/scripts/read_corsika_headers.py | fact-project/irf | d82a3d4ae8b9ef15d9f473cdcd01a5f9c92d42a2 | [
"MIT"
] | null | null | null | irf/scripts/read_corsika_headers.py | fact-project/irf | d82a3d4ae8b9ef15d9f473cdcd01a5f9c92d42a2 | [
"MIT"
] | 8 | 2017-04-25T11:19:32.000Z | 2019-05-28T07:24:32.000Z | irf/scripts/read_corsika_headers.py | fact-project/irf | d82a3d4ae8b9ef15d9f473cdcd01a5f9c92d42a2 | [
"MIT"
] | null | null | null | from corsikaio import CorsikaFile
from fact.io import to_h5py
from multiprocessing import Pool, cpu_count
from tqdm import tqdm
import os
import click
import pandas as pd
import numpy as np
from glob import glob
def get_headers(f):
with CorsikaFile(f) as cf:
run_header, event_headers, run_end = cf.read_he... | 25.1 | 89 | 0.632669 | 336 | 2,510 | 4.497024 | 0.39881 | 0.035738 | 0.027796 | 0.041694 | 0.053607 | 0.053607 | 0 | 0 | 0 | 0 | 0 | 0.002655 | 0.249801 | 2,510 | 99 | 90 | 25.353535 | 0.799788 | 0.021116 | 0 | 0.026667 | 0 | 0 | 0.166599 | 0.01833 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026667 | false | 0 | 0.12 | 0 | 0.16 | 0.053333 | 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 |
dd491d9bbf97708bde610843ff7316857a2a3334 | 6,452 | py | Python | assignment 1/question3/q3.py | Eunoia1729/soft-computing | d7fc155378d1bb0b914a6f660095653e32d2c0b8 | [
"Apache-2.0"
] | 1 | 2021-11-14T15:02:35.000Z | 2021-11-14T15:02:35.000Z | assignment 1/question3/q3.py | Eunoia1729/soft-computing | d7fc155378d1bb0b914a6f660095653e32d2c0b8 | [
"Apache-2.0"
] | null | null | null | assignment 1/question3/q3.py | Eunoia1729/soft-computing | d7fc155378d1bb0b914a6f660095653e32d2c0b8 | [
"Apache-2.0"
] | null | null | null | """## Question 3: Scrap Hotel Data
The below code is for India and can be extended to other countries by adding an outer loop given in the last part. The below codes takes several minutes to run.
"""
import requests
import pandas as pd
from bs4 import BeautifulSoup
hotelname_list = []
city_list = []
countries_list ... | 36.451977 | 160 | 0.653131 | 843 | 6,452 | 4.829181 | 0.204033 | 0.036846 | 0.023581 | 0.022353 | 0.416851 | 0.397445 | 0.386146 | 0.351756 | 0.320314 | 0.306067 | 0 | 0.014283 | 0.196993 | 6,452 | 177 | 161 | 36.451977 | 0.771473 | 0.046962 | 0 | 0.481013 | 0 | 0 | 0.205319 | 0.059134 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018987 | 0 | 0.018987 | 0.018987 | 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 |
dd4965798452f29205244dc8f8464e898af885fa | 234 | py | Python | groundstation/ROV/OCR/SScrop.py | iturov/rov2018 | ca1949806d105a2caddf2cf7a1361e2d3f6a1246 | [
"MIT"
] | 3 | 2018-01-26T14:00:50.000Z | 2018-08-08T06:44:21.000Z | groundstation/ROV/OCR/SScrop.py | iturov/rov2018 | ca1949806d105a2caddf2cf7a1361e2d3f6a1246 | [
"MIT"
] | null | null | null | groundstation/ROV/OCR/SScrop.py | iturov/rov2018 | ca1949806d105a2caddf2cf7a1361e2d3f6a1246 | [
"MIT"
] | 2 | 2018-08-08T06:44:23.000Z | 2020-10-24T11:36:33.000Z |
import pyscreenshot as ImageGrab
i=0
src_path ="C:\\Users\\Public\\ROV\OCR\\"
if __name__ == "__main__":
# part of the screen
im=ImageGrab.grab(bbox=(200,100,1100,600)) # X1,Y1,X2,Y2
im.save(src_path + 'init.png')
| 14.625 | 60 | 0.645299 | 38 | 234 | 3.710526 | 0.894737 | 0.099291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09375 | 0.179487 | 234 | 15 | 61 | 15.6 | 0.640625 | 0.128205 | 0 | 0 | 0 | 0 | 0.22335 | 0.142132 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 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 |
dd4ba76a5fa9e5f97446998ac4f6a5e6ee41ec63 | 3,008 | py | Python | tests/http_client/conftest.py | sjaensch/aiobravado | d3f1eb71883b1f24c4b592917890160eb3d3cbcc | [
"BSD-3-Clause"
] | 19 | 2017-11-20T22:47:12.000Z | 2021-12-23T15:56:41.000Z | tests/http_client/conftest.py | sjaensch/aiobravado | d3f1eb71883b1f24c4b592917890160eb3d3cbcc | [
"BSD-3-Clause"
] | 10 | 2018-01-11T12:53:01.000Z | 2020-01-27T20:05:51.000Z | tests/http_client/conftest.py | sjaensch/aiobravado | d3f1eb71883b1f24c4b592917890160eb3d3cbcc | [
"BSD-3-Clause"
] | 4 | 2017-11-18T12:37:14.000Z | 2021-03-19T14:48:13.000Z | # -*- coding: utf-8 -*-
import threading
import time
import bottle
import ephemeral_port_reserve
import pytest
import umsgpack
from bravado_core.content_type import APP_JSON
from bravado_core.content_type import APP_MSGPACK
from six.moves import urllib
ROUTE_1_RESPONSE = b'HEY BUDDY'
ROUTE_2_RESPONSE = b'BYE BUDDY'
... | 24.064 | 73 | 0.539894 | 307 | 3,008 | 5.104235 | 0.358306 | 0.056158 | 0.042119 | 0.028079 | 0.158264 | 0.122527 | 0.122527 | 0.077856 | 0.077856 | 0.077856 | 0 | 0.016019 | 0.31516 | 3,008 | 124 | 74 | 24.258065 | 0.74466 | 0.006981 | 0 | 0.098039 | 0 | 0 | 0.176549 | 0.01742 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.088235 | 0.029412 | 0.254902 | 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 |
dd4bd1dde3eae994bf4970c151cbd96f077c070c | 1,479 | py | Python | test/test_convvae.py | kejiejiang/UnsupervisedDeepLearning-Pytorch | 6ea7b7151ae62bf0130b56cc023f2be068aa87f0 | [
"MIT"
] | 87 | 2017-11-22T02:59:24.000Z | 2022-01-16T13:08:40.000Z | test/test_convvae.py | CauchyLagrange/UnsupervisedDeepLearning-Pytorch | 6ea7b7151ae62bf0130b56cc023f2be068aa87f0 | [
"MIT"
] | 3 | 2018-04-24T11:46:51.000Z | 2020-01-07T00:01:46.000Z | test/test_convvae.py | CauchyLagrange/UnsupervisedDeepLearning-Pytorch | 6ea7b7151ae62bf0130b56cc023f2be068aa87f0 | [
"MIT"
] | 25 | 2018-03-15T04:02:21.000Z | 2021-12-30T09:24:19.000Z | import torch
import torch.utils.data
from torchvision import datasets, transforms
import numpy as np
from udlp.autoencoder.convVAE import ConvVAE
import argparse
parser = argparse.ArgumentParser(description='VAE MNIST Example')
parser.add_argument('--lr', type=float, default=0.0001, metavar='N',
he... | 46.21875 | 98 | 0.697769 | 202 | 1,479 | 5.014851 | 0.410891 | 0.053307 | 0.067127 | 0.035538 | 0.361303 | 0.361303 | 0.361303 | 0.361303 | 0.361303 | 0.361303 | 0 | 0.028916 | 0.158215 | 1,479 | 31 | 99 | 47.709677 | 0.784739 | 0 | 0 | 0.142857 | 0 | 0 | 0.171062 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 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 |
dd57860debea07d7b1dee00c8d3f246398e5a1ff | 573 | py | Python | modules/yats/middleware/header.py | PrathameshBolade/yats | 93bb5271255120b7131a3bc416e3386428a4d3ec | [
"MIT"
] | 54 | 2015-01-26T07:56:59.000Z | 2022-03-10T18:48:05.000Z | modules/yats/middleware/header.py | PrathameshBolade/yats | 93bb5271255120b7131a3bc416e3386428a4d3ec | [
"MIT"
] | 8 | 2015-03-15T18:33:39.000Z | 2021-12-21T14:23:11.000Z | modules/yats/middleware/header.py | PrathameshBolade/yats | 93bb5271255120b7131a3bc416e3386428a4d3ec | [
"MIT"
] | 23 | 2015-02-19T16:55:35.000Z | 2022-03-11T19:49:06.000Z | # -*- coding: utf-8 -*-
from socket import gethostname
def ResponseInjectHeader(get_response):
def middleware(request):
setattr(request, '_dont_enforce_csrf_checks', True)
response = get_response(request)
# response['Access-Control-Allow-Origin'] = '*'
# response['Access-Control-... | 30.157895 | 64 | 0.649215 | 62 | 573 | 5.903226 | 0.645161 | 0.060109 | 0.114754 | 0.142077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028953 | 0.216405 | 573 | 18 | 65 | 31.833333 | 0.786192 | 0.212914 | 0 | 0 | 0 | 0 | 0.250559 | 0.055928 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.1 | 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 |
dd58051ac5d7683774d3d6e01bb0dea25252af19 | 1,334 | py | Python | handshake_client/sockets.py | naoki-maeda/handshake-client-py | 286884b358e15f84965f3c3224cfabd83e1a1406 | [
"MIT"
] | 3 | 2020-12-31T08:29:20.000Z | 2021-08-14T14:41:22.000Z | handshake_client/sockets.py | naoki-maeda/handshake-client-py | 286884b358e15f84965f3c3224cfabd83e1a1406 | [
"MIT"
] | null | null | null | handshake_client/sockets.py | naoki-maeda/handshake-client-py | 286884b358e15f84965f3c3224cfabd83e1a1406 | [
"MIT"
] | 1 | 2020-05-25T14:26:33.000Z | 2020-05-25T14:26:33.000Z | import logging
import socketio
logger = logging.getLogger("handshake.socket")
sio = socketio.AsyncClient(logger=logger)
async def get_connection(
url: str, api_key: str, watch_chain: bool = True, watch_mempool: bool = True,
) -> socketio.AsyncClient:
"""
see https://hsd-dev.org/guides/events.html
""... | 26.68 | 81 | 0.642429 | 174 | 1,334 | 4.821839 | 0.293103 | 0.076281 | 0.071514 | 0.045292 | 0.481526 | 0.481526 | 0.421931 | 0.421931 | 0.421931 | 0.421931 | 0 | 0 | 0.230885 | 1,334 | 49 | 82 | 27.22449 | 0.817739 | 0 | 0 | 0.4 | 0 | 0 | 0.078818 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | false | 0 | 0.057143 | 0 | 0.114286 | 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 |
dd586c3a691480974c3b96292cc74640fddadda5 | 869 | py | Python | generator01/testing/test_generator01.py | sku899/World_Travel_Language_Wizard | a9e009336e2f53c5fc0f3e40af51f34335645e5f | [
"MIT"
] | null | null | null | generator01/testing/test_generator01.py | sku899/World_Travel_Language_Wizard | a9e009336e2f53c5fc0f3e40af51f34335645e5f | [
"MIT"
] | null | null | null | generator01/testing/test_generator01.py | sku899/World_Travel_Language_Wizard | a9e009336e2f53c5fc0f3e40af51f34335645e5f | [
"MIT"
] | null | null | null | from unittest.mock import patch
from flask import url_for, Response, request
from flask_testing import TestCase
from random import randint
from app import app
class TestBase(TestCase):
def create_app(self):
return app
class TestResponse(TestBase):
def rand_country(self):
countries = ['German... | 34.76 | 126 | 0.653625 | 113 | 869 | 4.920354 | 0.548673 | 0.032374 | 0.064748 | 0.07554 | 0.151079 | 0.151079 | 0.151079 | 0.151079 | 0 | 0 | 0 | 0.02 | 0.194476 | 869 | 24 | 127 | 36.208333 | 0.774286 | 0 | 0 | 0.105263 | 0 | 0 | 0.148446 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 1 | 0.157895 | false | 0 | 0.263158 | 0.052632 | 0.578947 | 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 |
dd5b35b49e23eb6c89bb23b5e7b7a0d158afacb3 | 14,640 | py | Python | assets/arguments.py | YuhangSong/Arena-Baselines-Depreciated | 78c33994e67aede7565dda3f68f5cebe0d5ee6e6 | [
"Apache-2.0"
] | null | null | null | assets/arguments.py | YuhangSong/Arena-Baselines-Depreciated | 78c33994e67aede7565dda3f68f5cebe0d5ee6e6 | [
"Apache-2.0"
] | null | null | null | assets/arguments.py | YuhangSong/Arena-Baselines-Depreciated | 78c33994e67aede7565dda3f68f5cebe0d5ee6e6 | [
"Apache-2.0"
] | null | null | null | import argparse
import torch
import assets.utils as utils
def log_args(args, tf_summary):
args_dict = args.__dict__
from pytablewriter import MarkdownTableWriter
writer = MarkdownTableWriter()
writer.table_name = "Configurations (Args)"
writer.headers = ["Parameter", "Value"]
print('# INFO: ... | 48.476821 | 126 | 0.616189 | 1,813 | 14,640 | 4.804744 | 0.199117 | 0.049592 | 0.093675 | 0.020204 | 0.291011 | 0.218804 | 0.173688 | 0.106991 | 0.07083 | 0.061417 | 0 | 0.010876 | 0.252596 | 14,640 | 301 | 127 | 48.637874 | 0.785231 | 0.002937 | 0 | 0.045267 | 0 | 0.00823 | 0.300125 | 0.02915 | 0 | 0 | 0 | 0 | 0.016461 | 1 | 0.016461 | false | 0.004115 | 0.020576 | 0 | 0.045267 | 0.024691 | 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 |
dd5c3b4cdcb7e58a2c1873f564ec41c534d2da13 | 687 | py | Python | khtube/download_ffmpeg.py | KodersHub/khtube | b1a8f96b7ff27cbb7eae615e8aee7d27260f80e8 | [
"MIT"
] | 1 | 2021-08-09T14:01:12.000Z | 2021-08-09T14:01:12.000Z | khtube/download_ffmpeg.py | KodersHub/khtube | b1a8f96b7ff27cbb7eae615e8aee7d27260f80e8 | [
"MIT"
] | null | null | null | khtube/download_ffmpeg.py | KodersHub/khtube | b1a8f96b7ff27cbb7eae615e8aee7d27260f80e8 | [
"MIT"
] | null | null | null | from google_drive_downloader import GoogleDriveDownloader as gdd
import sys
import os
import requests
def get_platform():
platforms = {
'linux1' : 'Linux',
'linux2' : 'Linux',
'darwin' : 'OS X',
'win32' : 'Windows'
}
if sys.platform not in platforms:
return sys.plat... | 25.444444 | 84 | 0.604076 | 70 | 687 | 5.785714 | 0.614286 | 0.081481 | 0.074074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014523 | 0.298399 | 687 | 27 | 85 | 25.444444 | 0.825726 | 0 | 0 | 0 | 0 | 0 | 0.196221 | 0.047965 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.181818 | 0 | 0.318182 | 0.090909 | 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 |
dd5ce8afa891dc4561f13cf8c918df7e99c18b1f | 1,231 | py | Python | climbing (1).py | VamsiKrishna1211/Hacker_rank_solutions | a683a36fcc2f011c120eb4d52aa08468deccc820 | [
"Apache-2.0"
] | null | null | null | climbing (1).py | VamsiKrishna1211/Hacker_rank_solutions | a683a36fcc2f011c120eb4d52aa08468deccc820 | [
"Apache-2.0"
] | null | null | null | climbing (1).py | VamsiKrishna1211/Hacker_rank_solutions | a683a36fcc2f011c120eb4d52aa08468deccc820 | [
"Apache-2.0"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the climbingLeaderboard function below.
def climbingLeaderboard(scores, alice):
li=[]
lis=[0 for i in range(len(scores))]
lis[0]=1
for i in range(1,len(scores)):
#print(i)
if scores[i]<scores[i-1]:
... | 20.864407 | 53 | 0.541024 | 174 | 1,231 | 3.764368 | 0.316092 | 0.068702 | 0.042748 | 0.050382 | 0.218321 | 0.079389 | 0 | 0 | 0 | 0 | 0 | 0.02291 | 0.29082 | 1,231 | 58 | 54 | 21.224138 | 0.727377 | 0.064988 | 0 | 0.052632 | 0 | 0 | 0.020924 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.131579 | 0 | 0.184211 | 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 |
dd5d2da4c7eb58adfbaff7779a18bcc9d814e736 | 25,661 | py | Python | game_manager/machine_learning/block_controller_train.py | EndoNrak/tetris | 0ce4863348d644b401c53e6c9a50cdc6f7430ed1 | [
"MIT"
] | 1 | 2022-01-29T15:23:15.000Z | 2022-01-29T15:23:15.000Z | game_manager/machine_learning/block_controller_train.py | EndoNrak/tetris | 0ce4863348d644b401c53e6c9a50cdc6f7430ed1 | [
"MIT"
] | null | null | null | game_manager/machine_learning/block_controller_train.py | EndoNrak/tetris | 0ce4863348d644b401c53e6c9a50cdc6f7430ed1 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from datetime import datetime
import pprint
import random
import copy
import torch
import torch.nn as nn
from model.deepqnet import DeepQNetwork,DeepQNetwork_v2
import omegaconf
from hydra import compose, initialize
import os
from tensorboardX import SummaryWriter
from col... | 41.929739 | 145 | 0.575465 | 2,986 | 25,661 | 4.723041 | 0.113195 | 0.018436 | 0.017018 | 0.011345 | 0.476849 | 0.403248 | 0.356165 | 0.334822 | 0.303765 | 0.280933 | 0 | 0.012581 | 0.318538 | 25,661 | 612 | 146 | 41.929739 | 0.793904 | 0.063287 | 0 | 0.403471 | 0 | 0 | 0.040344 | 0.005257 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047722 | false | 0.004338 | 0.034707 | 0 | 0.136659 | 0.036876 | 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 |
dd5ec06ae412be00165dc082fa38f505f00c44d7 | 2,959 | py | Python | qa/rpc-tests/checkpoint-load.py | ericramos1980/energi | aadc44f714f9d52433ab3595a9f33a61433c60c9 | [
"MIT"
] | 2 | 2021-12-28T21:47:07.000Z | 2022-02-09T21:04:29.000Z | qa/rpc-tests/checkpoint-load.py | reddragon34/energi | 4cc6c426d9d4b6b9053912de9b2197eba071201e | [
"MIT"
] | null | null | null | qa/rpc-tests/checkpoint-load.py | reddragon34/energi | 4cc6c426d9d4b6b9053912de9b2197eba071201e | [
"MIT"
] | 1 | 2019-10-07T19:17:55.000Z | 2019-10-07T19:17:55.000Z | #!/usr/bin/env python3
# Copyright (c) 2019 The Energi Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
import logging... | 37.935897 | 86 | 0.639743 | 384 | 2,959 | 4.723958 | 0.270833 | 0.13892 | 0.107497 | 0.14333 | 0.502756 | 0.404079 | 0.377619 | 0.321389 | 0.321389 | 0.321389 | 0 | 0.034662 | 0.220007 | 2,959 | 77 | 87 | 38.428571 | 0.7513 | 0.06759 | 0 | 0.366667 | 0 | 0 | 0.113249 | 0.012704 | 0 | 0 | 0 | 0 | 0.216667 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.116667 | 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 |
dd5ffb792de44849ba525e817187b550fe21e9d9 | 648 | py | Python | python/setup.py | tcolgate/gracetests | 552c8113b0554d49cf146e6d7cfd573c8b4cbf8f | [
"MIT"
] | 2 | 2019-07-30T16:50:20.000Z | 2021-11-26T22:46:29.000Z | python/setup.py | tcolgate/gracetests | 552c8113b0554d49cf146e6d7cfd573c8b4cbf8f | [
"MIT"
] | null | null | null | python/setup.py | tcolgate/gracetests | 552c8113b0554d49cf146e6d7cfd573c8b4cbf8f | [
"MIT"
] | 1 | 2019-07-30T16:50:54.000Z | 2019-07-30T16:50:54.000Z | import os
from setuptools import find_packages, setup
DIR = os.path.dirname(os.path.abspath(__file__))
setup(
name='graceful',
version='1.2.0',
description='test of graceful shutdown',
url='https://github.com/qubitdigital/graceful/python',
author='Infra',
author_email='infra@qubit.com',
l... | 22.344828 | 58 | 0.603395 | 78 | 648 | 4.871795 | 0.692308 | 0.063158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030303 | 0.236111 | 648 | 28 | 59 | 23.142857 | 0.737374 | 0 | 0 | 0 | 0 | 0 | 0.350309 | 0.044753 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.08 | 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 |
dd61ede10dd7a8e91db98cff1eeb2bd9cfadde8d | 637 | py | Python | convert_assets.py | michaelgold/usdzconvert | f4e6e552db4e27a3e088649f19f6bd61977501c1 | [
"MIT"
] | null | null | null | convert_assets.py | michaelgold/usdzconvert | f4e6e552db4e27a3e088649f19f6bd61977501c1 | [
"MIT"
] | null | null | null | convert_assets.py | michaelgold/usdzconvert | f4e6e552db4e27a3e088649f19f6bd61977501c1 | [
"MIT"
] | null | null | null | import glob
import os
import subprocess
import shutil
source_file_list = glob.glob("../source/assets/*.glb")
for input_file_name in source_file_list:
base_file_name = os.path.split(input_file_name)[1]
output_file_name = "../dist/assets/{}.usdz".format(os.path.splitext(base_file_name)[0])
print(... | 35.388889 | 125 | 0.726845 | 94 | 637 | 4.638298 | 0.37234 | 0.146789 | 0.09633 | 0.073395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005464 | 0.138148 | 637 | 17 | 126 | 37.470588 | 0.788707 | 0 | 0 | 0 | 0 | 0 | 0.174194 | 0.108065 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0.142857 | 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 |
dd64daf0644c28687a4705d4e8b356d44e031ab4 | 2,190 | py | Python | tests/test_examples.py | timgates42/goless | 3c8742fa0f94d0a365840aae404da4e8eaed9d71 | [
"Apache-2.0"
] | 266 | 2015-01-03T04:18:48.000Z | 2022-02-16T03:08:38.000Z | tests/test_examples.py | timgates42/goless | 3c8742fa0f94d0a365840aae404da4e8eaed9d71 | [
"Apache-2.0"
] | 19 | 2015-03-06T11:04:53.000Z | 2021-06-09T15:08:57.000Z | tests/test_examples.py | timgates42/goless | 3c8742fa0f94d0a365840aae404da4e8eaed9d71 | [
"Apache-2.0"
] | 20 | 2015-01-03T03:45:08.000Z | 2022-03-05T06:05:32.000Z | """
Idiomatic Go examples converted to use goless.
"""
from __future__ import print_function
import time
from . import BaseTests
import goless
class Examples(BaseTests):
def test_select(self):
# https://gobyexample.com/select
c1 = goless.chan()
c2 = goless.chan()
def func1():
... | 26.071429 | 75 | 0.541096 | 265 | 2,190 | 4.407547 | 0.354717 | 0.05137 | 0.05137 | 0.059075 | 0.02911 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024658 | 0.333333 | 2,190 | 83 | 76 | 26.385542 | 0.775342 | 0.115525 | 0 | 0 | 0 | 0 | 0.030649 | 0 | 0 | 0 | 0 | 0 | 0.087719 | 1 | 0.122807 | false | 0 | 0.070175 | 0 | 0.210526 | 0.070175 | 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 |
dd67590d08d500fd8ab7568abbfffa79b1097a7f | 3,211 | py | Python | Utils/Messaging.py | philshams/FC_analysis | cabe2385d5061d206a21b230605bfce9e39ec7f2 | [
"MIT"
] | null | null | null | Utils/Messaging.py | philshams/FC_analysis | cabe2385d5061d206a21b230605bfce9e39ec7f2 | [
"MIT"
] | null | null | null | Utils/Messaging.py | philshams/FC_analysis | cabe2385d5061d206a21b230605bfce9e39ec7f2 | [
"MIT"
] | null | null | null | from slackclient import SlackClient
import requests
import os
from Config import slack_env_var_token, slack_username
"""
These functions take care of sending slack messages and emails
"""
def slack_chat_messenger(message):
# NEVER LEAVE THE TOKEN IN YOUR CODE ON GITHUB, EVERYBODY WOULD HAVE ACCESS TO THE CHANN... | 28.669643 | 106 | 0.646528 | 411 | 3,211 | 4.917275 | 0.36253 | 0.029688 | 0.021771 | 0.031667 | 0.160317 | 0.129639 | 0.102919 | 0.102919 | 0.102919 | 0.084117 | 0 | 0.002003 | 0.222672 | 3,211 | 111 | 107 | 28.927928 | 0.807692 | 0.140143 | 0 | 0.125 | 0 | 0 | 0.181887 | 0.045096 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.166667 | 0.027778 | 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 |
dd67c81828221987d83cf924bc48aff8f98affa6 | 3,364 | py | Python | fluid.py | fomightez/stable-fluids | a7bdbb0960c746022a1dfc216dbfe928ee98947b | [
"Unlicense"
] | 1 | 2020-04-20T12:14:59.000Z | 2020-04-20T12:14:59.000Z | fluid.py | fomightez/stable-fluids | a7bdbb0960c746022a1dfc216dbfe928ee98947b | [
"Unlicense"
] | null | null | null | fluid.py | fomightez/stable-fluids | a7bdbb0960c746022a1dfc216dbfe928ee98947b | [
"Unlicense"
] | null | null | null | import numpy as np
import scipy.sparse as sp
from scipy.ndimage import map_coordinates
from scipy.sparse.linalg import factorized
import operators as ops
class Fluid:
def __init__(self, shape, viscosity, quantities):
self.shape = shape
# Defining these here keeps the code somewhat more readable v... | 51.753846 | 117 | 0.69352 | 456 | 3,364 | 5.070175 | 0.407895 | 0.050606 | 0.051471 | 0.031142 | 0.108131 | 0.074827 | 0.037197 | 0.037197 | 0.037197 | 0.037197 | 0 | 0.003082 | 0.2283 | 3,364 | 64 | 118 | 52.5625 | 0.887519 | 0.412901 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.147059 | 0 | 0.323529 | 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 |
dd69e272fd1cf6715ec8277d234fe3f1835d95b2 | 879 | py | Python | setup.py | ngocjr7/geneticpython | 4b4157523ce13b3da56cef61282cb0a984cd317b | [
"MIT"
] | null | null | null | setup.py | ngocjr7/geneticpython | 4b4157523ce13b3da56cef61282cb0a984cd317b | [
"MIT"
] | null | null | null | setup.py | ngocjr7/geneticpython | 4b4157523ce13b3da56cef61282cb0a984cd317b | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
PROJECT_URLS = {
'Bug Tracker': 'https://github.com/ngocjr7/geneticpython/issues',
'Documentation': 'https://github.com/ngocjr7/geneticpython/blob/master/README.md',
'Source Code': 'https://gith... | 33.807692 | 88 | 0.703072 | 108 | 879 | 5.574074 | 0.592593 | 0.099668 | 0.069767 | 0.104651 | 0.169435 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012129 | 0.155859 | 879 | 25 | 89 | 35.16 | 0.799191 | 0 | 0 | 0 | 0 | 0 | 0.386803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.047619 | 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 |
dd767e6d50fc90c7d830096cddd6903575b2142e | 1,290 | py | Python | server_common/helpers.py | GustavLero/EPICS-inst_servers | 4bcdd6a80f1d9e074de3f0f7c66968d506981988 | [
"BSD-3-Clause"
] | null | null | null | server_common/helpers.py | GustavLero/EPICS-inst_servers | 4bcdd6a80f1d9e074de3f0f7c66968d506981988 | [
"BSD-3-Clause"
] | null | null | null | server_common/helpers.py | GustavLero/EPICS-inst_servers | 4bcdd6a80f1d9e074de3f0f7c66968d506981988 | [
"BSD-3-Clause"
] | null | null | null | import json
import os
import sys
from server_common.ioc_data_source import IocDataSource
from server_common.mysql_abstraction_layer import SQLAbstraction
from server_common.utilities import print_and_log, SEVERITY
def register_ioc_start(ioc_name, pv_database=None, prefix=None):
"""
A helper function to regis... | 32.25 | 108 | 0.686047 | 178 | 1,290 | 4.758427 | 0.460674 | 0.059032 | 0.056671 | 0.035419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001001 | 0.225581 | 1,290 | 39 | 109 | 33.076923 | 0.846847 | 0.242636 | 0 | 0 | 0 | 0 | 0.071274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.285714 | 0 | 0.428571 | 0.095238 | 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 |
dd782114838d338a027967eb958ee0dd0d6070b0 | 12,799 | py | Python | rman_ui/rman_ui_txmanager.py | ian-hsieh/RenderManForBlender | c827f029f4cbbd1fcc71ed8d3694fc5ac58cc468 | [
"MIT"
] | 12 | 2019-05-03T21:58:15.000Z | 2022-02-24T07:02:21.000Z | rman_ui/rman_ui_txmanager.py | ian-hsieh/RenderManForBlender | c827f029f4cbbd1fcc71ed8d3694fc5ac58cc468 | [
"MIT"
] | 4 | 2019-03-07T18:20:16.000Z | 2020-09-24T21:53:15.000Z | rman_ui/rman_ui_txmanager.py | ian-hsieh/RenderManForBlender | c827f029f4cbbd1fcc71ed8d3694fc5ac58cc468 | [
"MIT"
] | 3 | 2019-05-25T01:17:09.000Z | 2019-09-13T14:43:12.000Z | import bpy
from bpy.props import StringProperty, IntProperty, CollectionProperty, EnumProperty, BoolProperty
from bpy.types import PropertyGroup, UIList, Operator, Panel
from bpy_extras.io_utils import ImportHelper
from .rman_ui_base import _RManPanelHeader
from ..txmanager3 import txparams
from ..rman_utils import tex... | 32.734015 | 110 | 0.615595 | 1,446 | 12,799 | 5.20816 | 0.161826 | 0.041827 | 0.060417 | 0.047802 | 0.476564 | 0.384942 | 0.31377 | 0.259726 | 0.255079 | 0.220555 | 0 | 0.00319 | 0.28971 | 12,799 | 391 | 111 | 32.734015 | 0.825212 | 0.051176 | 0 | 0.357388 | 0 | 0 | 0.096969 | 0.030722 | 0 | 0 | 0 | 0.002558 | 0 | 1 | 0.037801 | false | 0.003436 | 0.037801 | 0.003436 | 0.243986 | 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 |
dd788c7b5bde6a0a3088e641302680a262892fc0 | 943 | py | Python | cousins-in-binary-tree/cousins-in-binary-tree.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | cousins-in-binary-tree/cousins-in-binary-tree.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | cousins-in-binary-tree/cousins-in-binary-tree.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def isCousins(self, root: Optional[TreeNode], x: int, y: int) -> bool:
# condition to be cousin: (1)... | 36.269231 | 74 | 0.520679 | 118 | 943 | 4.127119 | 0.432203 | 0.041068 | 0.032854 | 0.065708 | 0.057495 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019802 | 0.35737 | 943 | 26 | 75 | 36.269231 | 0.783828 | 0.249205 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.210526 | 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 |
dd7d61b4fcf318d454a05f755e0919c0dd18ea88 | 2,964 | py | Python | pycalc/MAVProxy/modules/mavproxy_gopro.py | joakimzhang/python-electron | 79bc174a14c5286ca739bb7d8ce6522fdc6e9e80 | [
"CC0-1.0"
] | null | null | null | pycalc/MAVProxy/modules/mavproxy_gopro.py | joakimzhang/python-electron | 79bc174a14c5286ca739bb7d8ce6522fdc6e9e80 | [
"CC0-1.0"
] | 8 | 2021-01-28T19:26:22.000Z | 2022-03-24T18:07:24.000Z | pycalc/MAVProxy/modules/mavproxy_gopro.py | joakimzhang/python-electron | 79bc174a14c5286ca739bb7d8ce6522fdc6e9e80 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
'''gopro control over mavlink for the solo-gimbal
To use this module connect to a Solo with a GoPro installed on the gimbal.
'''
import time, os
from MAVProxy.modules.lib import mp_module
from pymavlink import mavutil
class GoProModule(mp_module.MPModule):
def __init__(self, mpstate):
... | 34.068966 | 83 | 0.5361 | 319 | 2,964 | 4.761755 | 0.247649 | 0.110599 | 0.04345 | 0.071099 | 0.515471 | 0.515471 | 0.45293 | 0.45293 | 0.400263 | 0.400263 | 0 | 0.010616 | 0.364372 | 2,964 | 86 | 84 | 34.465116 | 0.795648 | 0.065452 | 0 | 0.4 | 0 | 0 | 0.109534 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0 | 0.046154 | 0 | 0.292308 | 0.092308 | 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 |
dd7f9dbcfe5bd13ce56beb5ae807d4bb63f3c4df | 1,609 | py | Python | Program_python/Extractfolderimage.py | pection/MN-furniture | 4c796f072662c15b2a263272ef2637e221c42cab | [
"MIT"
] | 1 | 2022-02-22T06:20:56.000Z | 2022-02-22T06:20:56.000Z | Program_python/Extractfolderimage.py | pection/MN-furniture | 4c796f072662c15b2a263272ef2637e221c42cab | [
"MIT"
] | null | null | null | Program_python/Extractfolderimage.py | pection/MN-furniture | 4c796f072662c15b2a263272ef2637e221c42cab | [
"MIT"
] | 1 | 2020-11-24T18:18:42.000Z | 2020-11-24T18:18:42.000Z | import os
import sys
import numpy as np
from PIL import Image
num=1
path ="/Users/pection/Documents/mn_furniture/AddwatermarkProgram/Lastday/"
#we shall store all the file names in this list
filelist=[]
for root, dirs, files in os.walk(path):
for file in files:
if(file.endswith(".jpg")):
filelis... | 35.755556 | 100 | 0.661902 | 223 | 1,609 | 4.67713 | 0.345291 | 0.023011 | 0.040268 | 0.044104 | 0.260786 | 0.21093 | 0.113135 | 0.113135 | 0.113135 | 0.113135 | 0 | 0.028396 | 0.19018 | 1,609 | 45 | 101 | 35.755556 | 0.772064 | 0.429459 | 0 | 0 | 0 | 0 | 0.207547 | 0.146504 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0.038462 | 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 |
dd7fb45e0f3cff64598edf9ddf119adc6b039b8e | 1,986 | py | Python | BrainML/__init__.py | bogdan124/DeepML | ad5e904cc9fcd3c499bbca3538525d83fde003f5 | [
"Apache-2.0"
] | null | null | null | BrainML/__init__.py | bogdan124/DeepML | ad5e904cc9fcd3c499bbca3538525d83fde003f5 | [
"Apache-2.0"
] | null | null | null | BrainML/__init__.py | bogdan124/DeepML | ad5e904cc9fcd3c499bbca3538525d83fde003f5 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
from BrainML.activation import Activator
from BrainML.layers import *
from BrainML.optimizer import Optimizer
from tensorflow.python.util import deprecation
##deprecation._PRINT_DEPRECATION_WARNINGS = False
##tf.compat.v1.disable_eager_execution()
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = ... | 38.192308 | 268 | 0.735146 | 276 | 1,986 | 5.068841 | 0.369565 | 0.038599 | 0.017155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008839 | 0.145519 | 1,986 | 52 | 269 | 38.192308 | 0.815557 | 0.140483 | 0 | 0 | 0 | 0 | 0.027811 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.162162 | 0 | 0.297297 | 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 |
dd81524e1e000d2bbdd8e39c55a281ea1c78ab94 | 1,336 | py | Python | config.py | MGorr/icons_updater | aa9f9177a565fbe590cf959f625f049024e01efb | [
"MIT"
] | 1 | 2021-06-18T06:58:15.000Z | 2021-06-18T06:58:15.000Z | config.py | MGorr/icons_updater | aa9f9177a565fbe590cf959f625f049024e01efb | [
"MIT"
] | null | null | null | config.py | MGorr/icons_updater | aa9f9177a565fbe590cf959f625f049024e01efb | [
"MIT"
] | null | null | null | """Configuration class for icons updating."""
import os
from configparser import ConfigParser
_DESTINATION_NAME = 'dst'
_MAGICK_NAME = 'path'
_SOURCES_NAME = 'src'
class Config:
"""Configuration class."""
def __init__(self, config_file=None, src=None, dst=None):
"""Constructor."""
parser =... | 30.363636 | 72 | 0.610778 | 155 | 1,336 | 5.064516 | 0.296774 | 0.089172 | 0.071338 | 0.086624 | 0.103185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.289671 | 1,336 | 43 | 73 | 31.069767 | 0.827187 | 0.081587 | 0 | 0 | 0 | 0 | 0.120733 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.1 | false | 0 | 0.066667 | 0 | 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 |
dd837f67ec7177838bf8a526749af097805f6779 | 15,142 | py | Python | CalsCamera/main.py | NoDrones/Imaging | 555c8aeced98097379b80f448689f2bf2974c3e9 | [
"MIT"
] | 1 | 2019-01-28T21:55:53.000Z | 2019-01-28T21:55:53.000Z | CalsCamera/main.py | NoDrones/Imaging | 555c8aeced98097379b80f448689f2bf2974c3e9 | [
"MIT"
] | null | null | null | CalsCamera/main.py | NoDrones/Imaging | 555c8aeced98097379b80f448689f2bf2974c3e9 | [
"MIT"
] | null | null | null | #Author: Calvin Ryan
import sensor, image, time, pyb, ustruct, math, utime
def get_gain():
gain_reg_val = sensor.__read_reg(0x00)
#print("gain_reg_val: " + str(gain_reg_val))
bitwise_gain_range = (gain_reg_val & 0b11110000) >> 4 #get the highest four bits which correspond to gain range. Depends on the bit... | 43.636888 | 262 | 0.66616 | 2,274 | 15,142 | 4.046614 | 0.134565 | 0.030428 | 0.029993 | 0.027385 | 0.526081 | 0.43697 | 0.312649 | 0.232667 | 0.197892 | 0.197892 | 0 | 0.036568 | 0.212588 | 15,142 | 346 | 263 | 43.763006 | 0.735218 | 0.190992 | 0 | 0.148837 | 0 | 0 | 0.068106 | 0.009678 | 0 | 0 | 0.007886 | 0 | 0 | 1 | 0.013953 | false | 0.009302 | 0.004651 | 0 | 0.04186 | 0.223256 | 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 |
dd88982df37b33dce441276837b7773dc3af6b26 | 1,311 | py | Python | tests/garage/tf/spaces/test_dict_space.py | shadiakiki1986/garage | 095bb5d25b32df1d44b47e99a78a9b01796941d9 | [
"MIT"
] | 3 | 2019-08-11T22:26:55.000Z | 2020-11-28T10:23:50.000Z | tests/garage/tf/spaces/test_dict_space.py | shadiakiki1986/garage | 095bb5d25b32df1d44b47e99a78a9b01796941d9 | [
"MIT"
] | null | null | null | tests/garage/tf/spaces/test_dict_space.py | shadiakiki1986/garage | 095bb5d25b32df1d44b47e99a78a9b01796941d9 | [
"MIT"
] | 2 | 2019-08-11T22:30:14.000Z | 2021-03-25T02:57:50.000Z | """This script tests garage.tf.spaces.dict functionality."""
import unittest
from garage.misc import ext
from garage.tf.envs import TfEnv
from tests.fixtures.envs.dummy import DummyDictEnv
class TestDictSpace(unittest.TestCase):
def test_dict_space(self):
ext.set_seed(0)
# A dummy dict env
... | 31.214286 | 76 | 0.661327 | 180 | 1,311 | 4.494444 | 0.316667 | 0.055624 | 0.121137 | 0.074166 | 0.116193 | 0.116193 | 0 | 0 | 0 | 0 | 0 | 0.004032 | 0.243326 | 1,311 | 41 | 77 | 31.97561 | 0.811492 | 0.139588 | 0 | 0 | 0 | 0 | 0.043011 | 0 | 0 | 0 | 0 | 0 | 0.217391 | 1 | 0.043478 | false | 0 | 0.173913 | 0 | 0.26087 | 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 |
dd8913997853973a6abd55f95d60d2c6a230000b | 3,429 | py | Python | utils/compare_MRAE.py | Liuhongzhi2018/SSRGAN | b5be922db1600aabb6a06ee52fb1c83ee738d794 | [
"Apache-2.0"
] | 1 | 2022-01-21T09:01:48.000Z | 2022-01-21T09:01:48.000Z | utils/compare_MRAE.py | Liuhongzhi2018/SSRGAN | b5be922db1600aabb6a06ee52fb1c83ee738d794 | [
"Apache-2.0"
] | 1 | 2021-08-18T11:33:43.000Z | 2021-08-18T11:33:43.000Z | utils/compare_MRAE.py | Liuhongzhi2018/SSRGAN | b5be922db1600aabb6a06ee52fb1c83ee738d794 | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import cv2
import numpy as np
import hdf5storage as hdf5
from scipy.io import loadmat
from matplotlib import pyplot as plt
from SpectralUtils import savePNG, projectToRGB
from EvalMetrics import computeMRAE
BIT_8 = 256
# read path
def get_files(path):
# read a folder, return the complet... | 36.870968 | 118 | 0.706328 | 460 | 3,429 | 5.06087 | 0.271739 | 0.051546 | 0.034364 | 0.061856 | 0.515464 | 0.500859 | 0.480241 | 0.477663 | 0.47122 | 0.37543 | 0 | 0.044516 | 0.181102 | 3,429 | 92 | 119 | 37.271739 | 0.784544 | 0.238262 | 0 | 0.258065 | 0 | 0 | 0.121481 | 0.049749 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.145161 | 0 | 0.306452 | 0.048387 | 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 |
dd895eff6bdbc6e4f11421a7c77e8c3865e7d03d | 2,435 | py | Python | board/send_message.py | ben741863140/cfsystem | 227e269f16533719251962f4d8caee8b51091d2f | [
"Apache-2.0"
] | 4 | 2018-02-22T01:59:07.000Z | 2020-07-09T06:28:46.000Z | board/send_message.py | ben741863140/cfsystem | 227e269f16533719251962f4d8caee8b51091d2f | [
"Apache-2.0"
] | null | null | null | board/send_message.py | ben741863140/cfsystem | 227e269f16533719251962f4d8caee8b51091d2f | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
import gzip
import re
import http.cookiejar
import urllib.request
import urllib.parse
# from logreg.sender import use_sender, sender
def send_message(handle, content, captcha):
def ungzip(data):
return gzip.decompress(data)
def get_csrf(data):
cer = re.compile('data-csr... | 29.695122 | 93 | 0.588501 | 299 | 2,435 | 4.705686 | 0.404682 | 0.03838 | 0.036958 | 0.036247 | 0.283582 | 0.253731 | 0.203269 | 0.157783 | 0.051173 | 0.051173 | 0 | 0.034884 | 0.258316 | 2,435 | 81 | 94 | 30.061728 | 0.744186 | 0.092813 | 0 | 0.234375 | 0 | 0.03125 | 0.238507 | 0.045061 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.015625 | 0.078125 | 0.015625 | 0.234375 | 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 |
dd8f9e880d1c5b15888f038a47c041322592d1b0 | 2,177 | py | Python | arfit/run_carma_pack.py | farr/arfit | 7ff6def331ef98f43f623da2d9867d1ac967448b | [
"MIT"
] | 5 | 2015-04-29T21:46:52.000Z | 2021-05-13T04:59:23.000Z | arfit/run_carma_pack.py | afcarl/arfit | 7ff6def331ef98f43f623da2d9867d1ac967448b | [
"MIT"
] | null | null | null | arfit/run_carma_pack.py | afcarl/arfit | 7ff6def331ef98f43f623da2d9867d1ac967448b | [
"MIT"
] | 2 | 2015-12-03T12:08:32.000Z | 2018-05-26T16:20:31.000Z | #!/usr/bin/env python
from __future__ import print_function
import argparse
import carmcmc as cm
import numpy as np
import os
import plotutils.autocorr as ac
import sys
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--input', required=True, metavar='FILE', help='input fil... | 34.015625 | 131 | 0.635278 | 291 | 2,177 | 4.628866 | 0.408935 | 0.046771 | 0.088344 | 0.046771 | 0.158872 | 0.118782 | 0.095026 | 0 | 0 | 0 | 0 | 0.013921 | 0.208085 | 2,177 | 63 | 132 | 34.555556 | 0.767401 | 0.009187 | 0 | 0.046512 | 0 | 0 | 0.13961 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.162791 | 0 | 0.162791 | 0.046512 | 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 |
dd9402b8557bc8fee0baeb9f728d3c332668ae1e | 2,240 | py | Python | test/http2_test/http2_server_health_check.py | miyachu/grpc | a06ea3c3162c10ff90a1578bf82bbbff95dc799d | [
"BSD-3-Clause"
] | 2 | 2021-09-10T00:20:13.000Z | 2021-11-16T11:27:19.000Z | test/http2_test/http2_server_health_check.py | miyachu/grpc | a06ea3c3162c10ff90a1578bf82bbbff95dc799d | [
"BSD-3-Clause"
] | null | null | null | test/http2_test/http2_server_health_check.py | miyachu/grpc | a06ea3c3162c10ff90a1578bf82bbbff95dc799d | [
"BSD-3-Clause"
] | 1 | 2020-11-04T04:19:45.000Z | 2020-11-04T04:19:45.000Z | # Copyright 2017, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... | 44.8 | 75 | 0.766964 | 320 | 2,240 | 5.30625 | 0.5375 | 0.023557 | 0.020024 | 0.027091 | 0.108363 | 0.080094 | 0.080094 | 0.080094 | 0.080094 | 0.080094 | 0 | 0.006926 | 0.162054 | 2,240 | 49 | 76 | 45.714286 | 0.897709 | 0.7125 | 0 | 0 | 0 | 0 | 0.163132 | 0.057096 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 0 | 0.176471 | 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 |
dd9452c189452f40fb4e6f56c43cb761ffc48203 | 3,494 | py | Python | server/droidio/demands/test/test_views.py | lucasOlivio/droid.io | 945b1452eaaa73b4d7f9d1d1a35eaa2900e97e96 | [
"MIT"
] | null | null | null | server/droidio/demands/test/test_views.py | lucasOlivio/droid.io | 945b1452eaaa73b4d7f9d1d1a35eaa2900e97e96 | [
"MIT"
] | null | null | null | server/droidio/demands/test/test_views.py | lucasOlivio/droid.io | 945b1452eaaa73b4d7f9d1d1a35eaa2900e97e96 | [
"MIT"
] | null | null | null | from django.urls import reverse
from rest_framework.test import APITestCase
from rest_framework import status
from nose.tools import eq_
from faker import Faker
import factory
from ..models import Demand
from .factories import DemandFactory
from ..serializers import DemandSerializer
from droidio.users.test.factorie... | 34.94 | 87 | 0.704637 | 440 | 3,494 | 5.361364 | 0.222727 | 0.042391 | 0.061043 | 0.067825 | 0.476473 | 0.369648 | 0.302671 | 0.27766 | 0.246291 | 0.246291 | 0 | 0.009551 | 0.190899 | 3,494 | 99 | 88 | 35.292929 | 0.824903 | 0.034917 | 0 | 0.235294 | 0 | 0 | 0.029184 | 0.006254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.147059 | 0 | 0.323529 | 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 |
dd94f0230de4472e8494e2e5c028fe0a163fe4d9 | 422 | py | Python | leetcode/python/check_in_n_and_its_double_exists.py | subhadig/leetcode | 9151ea49c342efa228cf82de72736c3445bbfef2 | [
"Unlicense"
] | null | null | null | leetcode/python/check_in_n_and_its_double_exists.py | subhadig/leetcode | 9151ea49c342efa228cf82de72736c3445bbfef2 | [
"Unlicense"
] | null | null | null | leetcode/python/check_in_n_and_its_double_exists.py | subhadig/leetcode | 9151ea49c342efa228cf82de72736c3445bbfef2 | [
"Unlicense"
] | null | null | null | # https://leetcode.com/explore/learn/card/fun-with-arrays/527/searching-for-items-in-an-array/3250/
# time: O(n)
# space: O(n)
class Solution:
def checkIfExist(self, arr: List[int]) -> bool:
if not arr:
return False
nums = set()
for x in arr:
if 2*x in nums or x/2 in... | 26.375 | 99 | 0.533175 | 61 | 422 | 3.688525 | 0.688525 | 0.017778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032727 | 0.348341 | 422 | 15 | 100 | 28.133333 | 0.785455 | 0.28436 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.454545 | 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 |
dd95ba5b789b57d2c18cb6c697a4bed1400af969 | 2,743 | py | Python | cloud_functions/trigger-monitor-dag-function/main_test.py | google/feedloader | f6a25569bc3d7d4ee326961fd3b01e45fc3858e4 | [
"Apache-2.0"
] | 5 | 2021-02-15T12:49:12.000Z | 2022-01-12T06:28:41.000Z | cloud_functions/trigger-monitor-dag-function/main_test.py | google/feedloader | f6a25569bc3d7d4ee326961fd3b01e45fc3858e4 | [
"Apache-2.0"
] | null | null | null | cloud_functions/trigger-monitor-dag-function/main_test.py | google/feedloader | f6a25569bc3d7d4ee326961fd3b01e45fc3858e4 | [
"Apache-2.0"
] | 4 | 2021-02-16T17:28:00.000Z | 2021-06-18T15:27:52.000Z | # coding=utf-8
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 31.528736 | 79 | 0.696318 | 360 | 2,743 | 5.138889 | 0.430556 | 0.041622 | 0.037838 | 0.030811 | 0.237297 | 0.188649 | 0.188649 | 0.188649 | 0.188649 | 0.188649 | 0 | 0.02382 | 0.188844 | 2,743 | 86 | 80 | 31.895349 | 0.80764 | 0.22202 | 0 | 0.175439 | 0 | 0.017544 | 0.263357 | 0.055792 | 0 | 0 | 0 | 0 | 0.087719 | 1 | 0.070175 | false | 0 | 0.070175 | 0 | 0.157895 | 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 |
dd99b6d2cdd53e9871b02f6e724fb47ac13372e3 | 12,973 | py | Python | programs/loadsheet/loadsheet.py | admin-db/OnboardingTools | 0f9d363d461df8c01e99157386338633828f5f92 | [
"Apache-2.0"
] | 3 | 2021-04-24T14:39:50.000Z | 2021-07-20T17:11:19.000Z | programs/loadsheet/loadsheet.py | admin-db/OnboardingTools | 0f9d363d461df8c01e99157386338633828f5f92 | [
"Apache-2.0"
] | 2 | 2020-07-22T21:34:33.000Z | 2021-01-14T19:26:12.000Z | programs/loadsheet/loadsheet.py | admin-db/OnboardingTools | 0f9d363d461df8c01e99157386338633828f5f92 | [
"Apache-2.0"
] | 2 | 2020-07-16T03:34:35.000Z | 2020-07-22T21:18:12.000Z | #Copyright 2020 DB Engineering
#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, softwa... | 27.427061 | 145 | 0.697757 | 1,751 | 12,973 | 4.974872 | 0.215306 | 0.029847 | 0.023878 | 0.011021 | 0.377339 | 0.302262 | 0.270577 | 0.253473 | 0.253473 | 0.243256 | 0 | 0.008015 | 0.201727 | 12,973 | 473 | 145 | 27.427061 | 0.83314 | 0.475064 | 0 | 0.391489 | 0 | 0.004255 | 0.157294 | 0.018974 | 0 | 0 | 0 | 0.002114 | 0.012766 | 1 | 0.07234 | false | 0.008511 | 0.046809 | 0 | 0.165957 | 0.021277 | 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 |
dd9c212b2612a151f4e10e08866ba944cee12a2b | 2,883 | py | Python | openwater/zone/model.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | openwater/zone/model.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | openwater/zone/model.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from datetime import datetime
from typing import TYPE_CHECKING, Dict, Any, List, Optional
if TYPE_CHECKING:
from openwater.core import OpenWater
class ZoneRun:
def __init__(self, id: int, zone_id: int, start: datetime, duration: int):
self.id = id
self.zone... | 25.289474 | 78 | 0.539369 | 340 | 2,883 | 4.347059 | 0.164706 | 0.054127 | 0.032476 | 0.028417 | 0.159675 | 0.159675 | 0.159675 | 0.159675 | 0.159675 | 0.159675 | 0 | 0.00106 | 0.34582 | 2,883 | 113 | 79 | 25.513274 | 0.782609 | 0 | 0 | 0.270833 | 0 | 0 | 0.069719 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.041667 | 0.041667 | 0.083333 | 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 |
dda05eca52f0bd879e75366f591fdb92e3e9abbd | 855 | py | Python | tests/test_views.py | pennlabs/django-shortener | a8f362863d4d8f13916e9e924ed316384f588373 | [
"MIT"
] | 3 | 2018-11-04T15:46:01.000Z | 2020-01-06T13:49:46.000Z | tests/test_views.py | pennlabs/shortener | a8f362863d4d8f13916e9e924ed316384f588373 | [
"MIT"
] | 1 | 2019-07-30T04:31:19.000Z | 2019-07-30T04:31:19.000Z | tests/test_views.py | pennlabs/shortener | a8f362863d4d8f13916e9e924ed316384f588373 | [
"MIT"
] | 2 | 2021-02-22T18:12:27.000Z | 2021-09-16T18:51:47.000Z | import hashlib
from django.test import TestCase
from django.urls import reverse
from shortener.models import Url
class RedirectViewTestCase(TestCase):
def setUp(self):
self.redirect = "https://pennlabs.org"
self.url, _ = Url.objects.get_or_create(long_url=self.redirect)
def test_exists(self... | 34.2 | 84 | 0.691228 | 104 | 855 | 5.576923 | 0.490385 | 0.103448 | 0.062069 | 0.072414 | 0.265517 | 0.265517 | 0.158621 | 0.158621 | 0 | 0 | 0 | 0.018625 | 0.183626 | 855 | 24 | 85 | 35.625 | 0.812321 | 0 | 0 | 0 | 0 | 0 | 0.074854 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.166667 | false | 0 | 0.222222 | 0 | 0.444444 | 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 |
dda073c654623fd4431b83697b75b0c9003f460a | 1,758 | py | Python | Models/Loss/__init__.py | bobo0810/classification | b27397308c5294dcc30a5aaddab4692becfc45d3 | [
"MIT"
] | null | null | null | Models/Loss/__init__.py | bobo0810/classification | b27397308c5294dcc30a5aaddab4692becfc45d3 | [
"MIT"
] | null | null | null | Models/Loss/__init__.py | bobo0810/classification | b27397308c5294dcc30a5aaddab4692becfc45d3 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from timm.loss import LabelSmoothingCrossEntropy
from pytorch_metric_learning import losses
class create_class_loss(nn.Module):
"""
常规分类 - 损失函数入口
"""
def __init__(self, name):
super(create_class_loss, self).__init__()
assert name in ["cross_entropy",... | 27.46875 | 80 | 0.609215 | 189 | 1,758 | 5.375661 | 0.285714 | 0.047244 | 0.047244 | 0.090551 | 0.347441 | 0.155512 | 0 | 0 | 0 | 0 | 0 | 0 | 0.288965 | 1,758 | 63 | 81 | 27.904762 | 0.8128 | 0.047213 | 0 | 0.105263 | 0 | 0 | 0.083439 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.157895 | false | 0 | 0.105263 | 0.052632 | 0.421053 | 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 |
dda2bd0af7d3de24450c99ea2968e3067f121da2 | 1,397 | py | Python | VGG_GRU/TrainTestlist/Emotiw/getTraintest_Emotiw.py | XiaoYee/emotion_classification | 6122e1b575bce5235169f155295b549a8f721ca1 | [
"MIT"
] | 74 | 2018-06-29T06:46:33.000Z | 2022-02-26T19:15:55.000Z | VGG_GRU/TrainTestlist/Emotiw/getTraintest_Emotiw.py | JIangjiang1108/emotion_classification | 6122e1b575bce5235169f155295b549a8f721ca1 | [
"MIT"
] | 6 | 2018-07-02T09:29:05.000Z | 2020-01-30T14:21:26.000Z | VGG_GRU/TrainTestlist/Emotiw/getTraintest_Emotiw.py | JIangjiang1108/emotion_classification | 6122e1b575bce5235169f155295b549a8f721ca1 | [
"MIT"
] | 23 | 2018-06-29T12:52:40.000Z | 2020-12-02T12:55:13.000Z | import os
import os.path as osp
import argparse
import random
parser = argparse.ArgumentParser(description='Emotiw dataset list producer')
args = parser.parse_args()
train = "/home/quxiaoye/disk/FR/Emotiw2018/data/Train_AFEW_all/Emotiw-faces"
test = "/home/quxiaoye/disk/FR/Emotiw2018/data/Val_AFEW/Emotiw-faces"
tr... | 29.723404 | 76 | 0.7602 | 207 | 1,397 | 4.835749 | 0.236715 | 0.0999 | 0.074925 | 0.035964 | 0.563437 | 0.511489 | 0.345654 | 0.345654 | 0.28971 | 0.28971 | 0 | 0.006515 | 0.120974 | 1,397 | 46 | 77 | 30.369565 | 0.808632 | 0 | 0 | 0.25 | 0 | 0 | 0.170365 | 0.144596 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 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 |
06bb33b3d53b354d7a98d017485acac1da8698a5 | 1,127 | py | Python | py/1081. Smallest Subsequence of Distinct Characters.py | longwangjhu/LeetCode | a5c33e8d67e67aedcd439953d96ac7f443e2817b | [
"MIT"
] | 3 | 2021-08-07T07:01:34.000Z | 2021-08-07T07:03:02.000Z | py/1081. Smallest Subsequence of Distinct Characters.py | longwangjhu/LeetCode | a5c33e8d67e67aedcd439953d96ac7f443e2817b | [
"MIT"
] | null | null | null | py/1081. Smallest Subsequence of Distinct Characters.py | longwangjhu/LeetCode | a5c33e8d67e67aedcd439953d96ac7f443e2817b | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/smallest-subsequence-of-distinct-characters/
# Return the lexicographically smallest subsequence of s that contains all the
# distinct characters of s exactly once.
# Note: This question is the same as 316: https://leetcode.com/problems/remove-
# duplicate-letters/
###################... | 38.862069 | 108 | 0.585626 | 146 | 1,127 | 4.486301 | 0.472603 | 0.042748 | 0.048855 | 0.073282 | 0.143511 | 0.143511 | 0.076336 | 0 | 0 | 0 | 0 | 0.006053 | 0.267081 | 1,127 | 28 | 109 | 40.25 | 0.786925 | 0.489796 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.25 | 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 |
06be7d0ae668828822753247461cfec9b2e4f3d3 | 675 | py | Python | kpm/commands/push.py | ericchiang/kpm | 3653b1dba8359f086a6a21d3a5003e80a46083a7 | [
"Apache-2.0"
] | 121 | 2016-08-05T17:54:27.000Z | 2022-02-21T14:21:59.000Z | kpm/commands/push.py | ericchiang/kpm | 3653b1dba8359f086a6a21d3a5003e80a46083a7 | [
"Apache-2.0"
] | 82 | 2016-08-07T01:42:41.000Z | 2017-05-05T17:35:45.000Z | kpm/commands/push.py | ericchiang/kpm | 3653b1dba8359f086a6a21d3a5003e80a46083a7 | [
"Apache-2.0"
] | 30 | 2016-08-15T13:12:10.000Z | 2022-02-21T14:22:00.000Z | from appr.commands.push import PushCmd as ApprPushCmd
from kpm.manifest_jsonnet import ManifestJsonnet
class PushCmd(ApprPushCmd):
default_media_type = 'kpm'
def _kpm(self):
self.filter_files = True
self.manifest = ManifestJsonnet()
ns, name = self.manifest.package['name'].split("/")... | 32.142857 | 66 | 0.638519 | 80 | 675 | 5.3125 | 0.4125 | 0.112941 | 0.063529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.251852 | 675 | 20 | 67 | 33.75 | 0.841584 | 0 | 0 | 0 | 0 | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.3125 | 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 |
06bfd7cd414a9434b1f295b51c26d7407c29f08d | 383 | py | Python | problem_29/distinct_powers.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | problem_29/distinct_powers.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | problem_29/distinct_powers.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | from common.matrix import Matrix
def distinct_powers(n):
m = Matrix(n + 2, n + 2)
for i in range(2, n + 1):
m[i][2] = i ** 2
for j in range(3, n + 1):
m[i][j] = m[i][j - 1] * i
distinct_values = set()
for i in range(2, n + 1):
for j in range(2, n + 1):
... | 21.277778 | 40 | 0.488251 | 68 | 383 | 2.691176 | 0.308824 | 0.043716 | 0.131148 | 0.147541 | 0.20765 | 0.153005 | 0.153005 | 0 | 0 | 0 | 0 | 0.052419 | 0.35248 | 383 | 17 | 41 | 22.529412 | 0.685484 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 |
06c21871e9ad89697d51562c488828bc64f7390f | 1,436 | py | Python | 1-python/python/transpose.py | Domin-Imperial/Domin-Respository | 2e531aabc113ed3511f349107695847b5c4e4320 | [
"MIT"
] | null | null | null | 1-python/python/transpose.py | Domin-Imperial/Domin-Respository | 2e531aabc113ed3511f349107695847b5c4e4320 | [
"MIT"
] | null | null | null | 1-python/python/transpose.py | Domin-Imperial/Domin-Respository | 2e531aabc113ed3511f349107695847b5c4e4320 | [
"MIT"
] | 1 | 2021-05-24T20:09:38.000Z | 2021-05-24T20:09:38.000Z | # exercism exercise "transpose"
def transpose(lines: str) -> str:
input_list = lines.split('\n') # or splitlines
input_height = len(input_list)
input_width = get_input_width(input_list)
output_list = []
for colnum in range(input_width):
output = ''
for rownum in range(input_height)... | 27.615385 | 67 | 0.612117 | 193 | 1,436 | 4.373057 | 0.305699 | 0.138626 | 0.07109 | 0.074645 | 0.239336 | 0.187204 | 0.120853 | 0.075829 | 0.075829 | 0 | 0 | 0.00283 | 0.261838 | 1,436 | 51 | 68 | 28.156863 | 0.793396 | 0.373259 | 0 | 0 | 0 | 0 | 0.022779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0 | 0 | 0.318182 | 0.090909 | 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 |
06c2aad42518b04959fd06448a4c2d1ef11c34fe | 4,318 | py | Python | core/models.py | mcflydesigner/innorussian | 70bec97ad349f340bd66cd8234d94f8829540397 | [
"MIT"
] | 1 | 2021-04-12T18:54:37.000Z | 2021-04-12T18:54:37.000Z | core/models.py | mcflydesigner/InnoRussian | 70bec97ad349f340bd66cd8234d94f8829540397 | [
"MIT"
] | null | null | null | core/models.py | mcflydesigner/InnoRussian | 70bec97ad349f340bd66cd8234d94f8829540397 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.timezone import now
from django.core.validators import FileExtensionValidator
from django.contrib.auth import get_user_model
from django.contrib.postgres.fields import ArrayField
from django.db.models import (Func, Value, CharField, IntegerField)
from .shortcuts import up... | 35.393443 | 101 | 0.652154 | 497 | 4,318 | 5.545272 | 0.32998 | 0.025399 | 0.014514 | 0.023222 | 0.260523 | 0.2373 | 0.211901 | 0.211901 | 0.211901 | 0.211901 | 0 | 0.003044 | 0.239231 | 4,318 | 121 | 102 | 35.68595 | 0.835921 | 0.215146 | 0 | 0.258065 | 0 | 0 | 0.076296 | 0.007499 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.112903 | 0.064516 | 0.693548 | 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 |
06c7a3448e8983e9a265c812e501b174dd35b66d | 5,821 | py | Python | SegmentationAlgorithms/CBSMoT.py | JRose6/TrajLib | 2a5749bf6e9517835801926d6a5e92564ef2c7f0 | [
"Apache-2.0"
] | null | null | null | SegmentationAlgorithms/CBSMoT.py | JRose6/TrajLib | 2a5749bf6e9517835801926d6a5e92564ef2c7f0 | [
"Apache-2.0"
] | null | null | null | SegmentationAlgorithms/CBSMoT.py | JRose6/TrajLib | 2a5749bf6e9517835801926d6a5e92564ef2c7f0 | [
"Apache-2.0"
] | null | null | null | import Distances as d
import pandas as pd
import numpy as np
class CBSmot:
nano_to_seconds = 1000000000
def count_neighbors(self, traj, position, max_dist):
neighbors = 0
yet = True
j = position + 1
while j < len(traj.index) and yet:
if d.Distances.calculate_two_poi... | 35.932099 | 104 | 0.489263 | 711 | 5,821 | 3.869198 | 0.139241 | 0.013086 | 0.019629 | 0.034533 | 0.619775 | 0.576881 | 0.517993 | 0.504544 | 0.504544 | 0.504544 | 0 | 0.038813 | 0.398042 | 5,821 | 162 | 105 | 35.932099 | 0.74629 | 0.012025 | 0 | 0.597122 | 0 | 0 | 0.007307 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064748 | false | 0 | 0.021583 | 0 | 0.165468 | 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 |
06c9d2978cf880b3371f69c40666eeeea090512c | 13,838 | py | Python | Support/validate.py | sgarbesi/javascript-eslint.tmbundle | b117fe0133582676113a96fc9804795c033d0b78 | [
"BSD-3-Clause"
] | 1 | 2015-05-01T14:24:39.000Z | 2015-05-01T14:24:39.000Z | Support/validate.py | sgarbesi/javascript-eslint.tmbundle | b117fe0133582676113a96fc9804795c033d0b78 | [
"BSD-3-Clause"
] | null | null | null | Support/validate.py | sgarbesi/javascript-eslint.tmbundle | b117fe0133582676113a96fc9804795c033d0b78 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
Validate a JavaScript file using eslint.
Author: Nate Silva
Copyright 2014 Nate Silva
License: MIT
"""
from __future__ import print_function
import sys
import os
import re
import time
import json
import subprocess
import tempfile
import hashlib
import shutil
def find_up_... | 33.833741 | 98 | 0.568001 | 1,727 | 13,838 | 4.452808 | 0.223509 | 0.019506 | 0.013004 | 0.007802 | 0.319246 | 0.283355 | 0.264889 | 0.249415 | 0.20104 | 0.182835 | 0 | 0.003626 | 0.3025 | 13,838 | 408 | 99 | 33.916667 | 0.791857 | 0.200607 | 0 | 0.363281 | 0 | 0.011719 | 0.25637 | 0.032932 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019531 | false | 0 | 0.039063 | 0 | 0.09375 | 0.015625 | 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 |
06d128fc6f207aa019def30c73ff71c2d5f4ad72 | 8,745 | py | Python | imagenet_pytorch/utils.py | lishuliang/Emotion-Recognition | a8aea1b71b2508e6157410089b20ab463fe901f5 | [
"MIT"
] | 1 | 2019-03-16T08:11:53.000Z | 2019-03-16T08:11:53.000Z | imagenet_pytorch/utils.py | lishuliang/Emotion-Recognition | a8aea1b71b2508e6157410089b20ab463fe901f5 | [
"MIT"
] | null | null | null | imagenet_pytorch/utils.py | lishuliang/Emotion-Recognition | a8aea1b71b2508e6157410089b20ab463fe901f5 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torch.nn.functional as F
from torch.nn import init
class attention(nn.Module):
def __init__(self, input_channels, map_size):
super(attention, self).__init__()
... | 43.507463 | 145 | 0.5992 | 1,199 | 8,745 | 4.089241 | 0.090909 | 0.039976 | 0.051397 | 0.03712 | 0.700184 | 0.616153 | 0.489904 | 0.448297 | 0.344687 | 0.303896 | 0 | 0.020392 | 0.293425 | 8,745 | 200 | 146 | 43.725 | 0.773102 | 0.077759 | 0 | 0.302632 | 0 | 0 | 0.000249 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 1 | 0.065789 | false | 0 | 0.052632 | 0 | 0.184211 | 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 |
06d1d332e24aee96ce48f604359996ef77a12eea | 1,349 | py | Python | setup.py | jopo666/HistoPrep | 1b74c346b38c7ca44f92269246571f5f850836af | [
"MIT"
] | 11 | 2021-04-21T10:37:22.000Z | 2021-12-19T22:32:59.000Z | setup.py | jopo666/HistoPrep | 1b74c346b38c7ca44f92269246571f5f850836af | [
"MIT"
] | 1 | 2021-02-24T09:15:13.000Z | 2021-04-19T06:38:58.000Z | setup.py | jopo666/HistoPrep | 1b74c346b38c7ca44f92269246571f5f850836af | [
"MIT"
] | 1 | 2021-09-16T05:00:21.000Z | 2021-09-16T05:00:21.000Z | import setuptools
exec(open('histoprep/_version.py').read())
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="histoprep",
version=__version__,
author="jopo666",
scripts=['HistoPrep'],
author_email="jopo@birdlover.com",
description="... | 32.119048 | 75 | 0.614529 | 154 | 1,349 | 5.285714 | 0.642857 | 0.07371 | 0.046683 | 0.07371 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047125 | 0.213491 | 1,349 | 42 | 76 | 32.119048 | 0.720075 | 0 | 0 | 0.051282 | 0 | 0 | 0.488148 | 0.065926 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.025641 | 0 | 0.025641 | 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 |
06d28dfe07994e25ac5013d571490aa1301605ee | 15,260 | py | Python | train.py | Kiwi-PUJ/DataTraining | 706642996e884b47a0aa7dfb19da33a7234a311e | [
"CC0-1.0"
] | 3 | 2021-06-04T00:07:54.000Z | 2021-06-09T01:14:07.000Z | train.py | Kiwi-PUJ/DataTraining | 706642996e884b47a0aa7dfb19da33a7234a311e | [
"CC0-1.0"
] | null | null | null | train.py | Kiwi-PUJ/DataTraining | 706642996e884b47a0aa7dfb19da33a7234a311e | [
"CC0-1.0"
] | null | null | null | ## @package Training_app
# Training code developed with Tensorflow Keras. Content: Unet, Unet++ and FCN
#
# @version 1
#
# Pontificia Universidad Javeriana
#
# Electronic Enginnering
#
# Developed by:
# - Andrea Juliana Ruiz Gomez
# Mail: <andrea_ruiz@javeriana.edu.co>
# GitHub: andrearuizg
# - Pedro E... | 29.921569 | 80 | 0.602687 | 2,302 | 15,260 | 3.874023 | 0.143354 | 0.032967 | 0.022202 | 0.023436 | 0.59464 | 0.568065 | 0.53577 | 0.505382 | 0.478471 | 0.462772 | 0 | 0.102997 | 0.243512 | 15,260 | 509 | 81 | 29.980354 | 0.669525 | 0.216252 | 0 | 0.461794 | 0 | 0 | 0.043663 | 0.002463 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053156 | false | 0 | 0.036545 | 0 | 0.139535 | 0.009967 | 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 |
06d355973fd78ec8f3b614057e835f98f36682ef | 379 | py | Python | qt__pyqt__pyside__pyqode/qt_ini.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | qt__pyqt__pyside__pyqode/qt_ini.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | qt__pyqt__pyside__pyqode/qt_ini.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
try:
from PyQt4.QtCore import QSettings
except:
from PyQt5.QtCore import QSettings
if __name__ == '__main__':
config = QSettings('config.ini', QSettings.IniFormat)
counter = int(config.value('counter', 0))
config.setValue('... | 18.95 | 57 | 0.664908 | 45 | 379 | 5.333333 | 0.688889 | 0.1 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022581 | 0.182058 | 379 | 19 | 58 | 19.947368 | 0.751613 | 0.113456 | 0 | 0 | 0 | 0 | 0.140719 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
06dacdda970f273fddcf69cadb01b1f2dd499e8c | 296 | py | Python | sim_test_model.py | feiyanke/simpy | bde9d09e47596e0bfe66dc7001f556bafd03acc5 | [
"MIT"
] | 1 | 2019-01-28T09:13:58.000Z | 2019-01-28T09:13:58.000Z | sim_test_model.py | feiyanke/simpy | bde9d09e47596e0bfe66dc7001f556bafd03acc5 | [
"MIT"
] | null | null | null | sim_test_model.py | feiyanke/simpy | bde9d09e47596e0bfe66dc7001f556bafd03acc5 | [
"MIT"
] | 2 | 2019-01-28T09:13:59.000Z | 2020-12-13T09:48:20.000Z | import math
import matplotlib.pyplot as plt
from simpy import model
ax1 = plt.subplot(121)
ax2 = plt.subplot(122)
model_sin = model.TimedFunctionModel(math.sin)
model_cos = model.TimedFunctionModel(math.cos)
scope = model.ScopeModel(ax1, ax2)
def run():
scope(model_sin(), model_cos())
| 17.411765 | 46 | 0.75 | 43 | 296 | 5.069767 | 0.488372 | 0.110092 | 0.119266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039063 | 0.135135 | 296 | 16 | 47 | 18.5 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 0 | 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 |
06db8ba3ca98cc15e56e2db049c572bc5f7c97a3 | 2,760 | py | Python | Day_10_classes_and_objects/day10_uzd1.py | ValRCS/Python_TietoEvry_Sep2021 | e11dac38deb17ba695ce8ad9dab9cf78b4adb99d | [
"MIT"
] | null | null | null | Day_10_classes_and_objects/day10_uzd1.py | ValRCS/Python_TietoEvry_Sep2021 | e11dac38deb17ba695ce8ad9dab9cf78b4adb99d | [
"MIT"
] | null | null | null | Day_10_classes_and_objects/day10_uzd1.py | ValRCS/Python_TietoEvry_Sep2021 | e11dac38deb17ba695ce8ad9dab9cf78b4adb99d | [
"MIT"
] | null | null | null | # class Song: # Song is name of Class, start with Capital letter
# def __init__(self, title="", author="", lyrics=tuple()): # constructor method called upon creation of object
# self.title = title
# self.author = author
# self.lyrics = lyrics
# # print(f"New Song made by Author: {s... | 34.5 | 115 | 0.595652 | 362 | 2,760 | 4.433702 | 0.276243 | 0.050467 | 0.02243 | 0.032399 | 0.381308 | 0.301558 | 0.266667 | 0.216822 | 0.179439 | 0.05109 | 0 | 0.007937 | 0.269565 | 2,760 | 79 | 116 | 34.936709 | 0.788194 | 0.318116 | 0 | 0.136364 | 0 | 0 | 0.169181 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0 | 0 | 0.227273 | 0.25 | 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 |
06dc1c17dd56d7e1a1011a34a1e1d9b273c1982c | 1,956 | py | Python | rurina2/widgets/text.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | rurina2/widgets/text.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | rurina2/widgets/text.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | from constants import STYLE_NORMAL, STYLE_BOLD, STYLE_ITALIC
from prefabs.text import write_autoline
from widgets.widget import WidgetByRect
from base_node import get_surface
from prefabs.surface import blit
from shape import Rect
import pygame
class Text(WidgetByRect):
def __init__(
self,
... | 25.402597 | 90 | 0.541922 | 211 | 1,956 | 4.805687 | 0.303318 | 0.055227 | 0.025641 | 0.025641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006478 | 0.368609 | 1,956 | 76 | 91 | 25.736842 | 0.814575 | 0 | 0 | 0.032787 | 0 | 0 | 0.004601 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0 | 0.114754 | 0.016393 | 0.245902 | 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 |
06dcdfc975ea640979bb4f316bbb031845b68fa5 | 5,350 | py | Python | Chapter05/B12322_05_code upload/topic_categorization.py | PacktPublishing/Python-Machine-Learning-By-Example-Second-Edition | 830ad0124dc72c3a24929ff1b67081a66894f1f9 | [
"MIT"
] | 31 | 2019-05-25T11:28:23.000Z | 2022-02-09T15:19:20.000Z | Chapter05/B12322_05_code upload/topic_categorization.py | PacktPublishing/Python-Machine-Learning-By-Example-Second-Edition | 830ad0124dc72c3a24929ff1b67081a66894f1f9 | [
"MIT"
] | null | null | null | Chapter05/B12322_05_code upload/topic_categorization.py | PacktPublishing/Python-Machine-Learning-By-Example-Second-Edition | 830ad0124dc72c3a24929ff1b67081a66894f1f9 | [
"MIT"
] | 22 | 2019-02-27T20:11:39.000Z | 2022-03-07T21:46:38.000Z | '''
Source codes for Python Machine Learning By Example 2nd Edition (Packt Publishing)
Chapter 5: Classifying Newsgroup Topic with Support Vector Machine
Author: Yuxi (Hayden) Liu
'''
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.datasets import fetch_20newsgroups
from nltk.corpus import nam... | 31.470588 | 108 | 0.774393 | 752 | 5,350 | 5.226064 | 0.207447 | 0.040712 | 0.032061 | 0.047328 | 0.606616 | 0.606616 | 0.590331 | 0.561832 | 0.551908 | 0.551908 | 0 | 0.021886 | 0.111776 | 5,350 | 169 | 109 | 31.656805 | 0.805135 | 0.045794 | 0 | 0.424779 | 0 | 0 | 0.111896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017699 | false | 0 | 0.106195 | 0.00885 | 0.141593 | 0.132743 | 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 |
06e007230d32188f666bcfa817cb0d72deaa62d6 | 639 | py | Python | cocos#275--HTMLLabel/html_label_test.py | los-cocos/etc_code | 71c642a5e0f7ff8049cb5fb4ecac3f166ca20280 | [
"MIT"
] | 2 | 2016-08-28T19:41:47.000Z | 2018-12-14T22:01:26.000Z | cocos#275--HTMLLabel/html_label_test.py | los-cocos/etc_code | 71c642a5e0f7ff8049cb5fb4ecac3f166ca20280 | [
"MIT"
] | null | null | null | cocos#275--HTMLLabel/html_label_test.py | los-cocos/etc_code | 71c642a5e0f7ff8049cb5fb4ecac3f166ca20280 | [
"MIT"
] | 2 | 2015-09-21T06:55:12.000Z | 2020-05-29T14:34:34.000Z | #!/usr/bin/env python3
# -*-coding:utf-8 -*
import cocos
from cocos.text import HTMLLabel
from cocos.director import director
class TestLayer(cocos.layer.Layer):
def __init__(self):
super(TestLayer, self).__init__()
x, y = director.get_window_size()
self.text = HTMLLabel("""<center><font... | 24.576923 | 68 | 0.640063 | 84 | 639 | 4.607143 | 0.535714 | 0.046512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013672 | 0.198748 | 639 | 26 | 69 | 24.576923 | 0.742188 | 0.062598 | 0 | 0 | 0 | 0 | 0.175585 | 0.071906 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 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 |
06e062374abeb59d36c97a31d852af3b3fb9d03c | 4,284 | py | Python | depronoun.py | rui-bettencourt/AutomaticSentenceDivision | 4cb29897103189791c932aaea42c8d5b4ecd8bcd | [
"MIT"
] | null | null | null | depronoun.py | rui-bettencourt/AutomaticSentenceDivision | 4cb29897103189791c932aaea42c8d5b4ecd8bcd | [
"MIT"
] | null | null | null | depronoun.py | rui-bettencourt/AutomaticSentenceDivision | 4cb29897103189791c932aaea42c8d5b4ecd8bcd | [
"MIT"
] | null | null | null | #
from nltk.tokenize import word_tokenize
from xml.dom import minidom
import progressbar
from time import sleep
input_file = 'data/dataset_output.txt'
num_lines = sum(1 for line in open(input_file))
read_file = open(input_file, 'r')
write_output_file = open('data/dataset_output_no_pronouns.txt', 'w')
pronouns = ['h... | 33.46875 | 157 | 0.614613 | 548 | 4,284 | 4.655109 | 0.213504 | 0.025872 | 0.044688 | 0.054096 | 0.369267 | 0.359467 | 0.320659 | 0.249314 | 0.198354 | 0.167777 | 0 | 0.002949 | 0.287582 | 4,284 | 127 | 158 | 33.732283 | 0.832896 | 0.070495 | 0 | 0.255102 | 0 | 0 | 0.108619 | 0.014617 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.040816 | 0 | 0.040816 | 0.122449 | 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 |
06e4f094f267243cc672eb7459a8a3c1167d18f8 | 2,794 | py | Python | pyaws/utils/userinput.py | mwozniczak/pyaws | af8f6d64ff47fd2ef2eb9fef25680e4656523fa3 | [
"MIT"
] | null | null | null | pyaws/utils/userinput.py | mwozniczak/pyaws | af8f6d64ff47fd2ef2eb9fef25680e4656523fa3 | [
"MIT"
] | null | null | null | pyaws/utils/userinput.py | mwozniczak/pyaws | af8f6d64ff47fd2ef2eb9fef25680e4656523fa3 | [
"MIT"
] | null | null | null | """
Python3 Module
Summary:
User Input Manipulation
"""
import re
from string import ascii_lowercase
def bool_assignment(arg, patterns=None):
"""
Summary:
Enforces correct bool argment assignment
Arg:
:arg (*): arg which must be interpreted as either bool True or False
Returns:
... | 30.043011 | 100 | 0.566929 | 345 | 2,794 | 4.53913 | 0.342029 | 0.02235 | 0.019157 | 0.044061 | 0.122605 | 0.057471 | 0.057471 | 0 | 0 | 0 | 0 | 0.00929 | 0.345025 | 2,794 | 92 | 101 | 30.369565 | 0.846448 | 0.366142 | 0 | 0.173913 | 0 | 0 | 0.023679 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.043478 | 0 | 0.326087 | 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 |
06f368aa1460565e63ed4a80b862ae97a70212cf | 1,151 | py | Python | 2.py | zweed4u/dailycodingproblem | 6e40eaad347e283f86a11adeff01c6426211a0be | [
"MIT"
] | null | null | null | 2.py | zweed4u/dailycodingproblem | 6e40eaad347e283f86a11adeff01c6426211a0be | [
"MIT"
] | null | null | null | 2.py | zweed4u/dailycodingproblem | 6e40eaad347e283f86a11adeff01c6426211a0be | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Good morning! Here's your coding interview problem for today.
This problem was asked by Uber.
Given an array of integers, return a new array such that each element at index i of the new array is the product of all the numbers in the original array except the one at i.
For example, if our input... | 28.775 | 174 | 0.636838 | 197 | 1,151 | 3.64467 | 0.42132 | 0.058496 | 0.050139 | 0.016713 | 0.305014 | 0.169916 | 0.169916 | 0.130919 | 0.130919 | 0.130919 | 0 | 0.048235 | 0.261512 | 1,151 | 39 | 175 | 29.512821 | 0.796471 | 0.482189 | 0 | 0.545455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.181818 | 0.181818 | 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 |
66012301064b5709a93a6fcc63e250bae442c6d6 | 1,804 | py | Python | main.py | PortosKo/Python_Lesson_2 | 160c569f17d21cc1f2e48227b526a49594e90d59 | [
"MIT"
] | null | null | null | main.py | PortosKo/Python_Lesson_2 | 160c569f17d21cc1f2e48227b526a49594e90d59 | [
"MIT"
] | null | null | null | main.py | PortosKo/Python_Lesson_2 | 160c569f17d21cc1f2e48227b526a49594e90d59 | [
"MIT"
] | null | null | null | #Задачи на циклы и оператор условия------
#----------------------------------------
'''
# Задача 1
Вывести на экран циклом пять строк из нулей, причем каждая строка должна быть пронумерована.
'''
print ('Задача1')
x = 0
for x in range (1,6,):
print (x,0)
'''
Задача 2
Пользователь в цикле вводит 10 цифр. Найти к... | 15.288136 | 92 | 0.636364 | 265 | 1,804 | 4.286792 | 0.362264 | 0.137324 | 0.079225 | 0.019366 | 0.28081 | 0.15669 | 0 | 0 | 0 | 0 | 0 | 0.06882 | 0.210643 | 1,804 | 118 | 93 | 15.288136 | 0.728933 | 0.10255 | 0 | 0.25 | 0 | 0 | 0.11332 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.354167 | 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 |
660235efa168bc77f41850e9696ac1ce83979716 | 5,062 | py | Python | config_loader/loader.py | egabancho/config-loader | af45c7bef3afe4dee930754386a1763a28574d6c | [
"MIT"
] | null | null | null | config_loader/loader.py | egabancho/config-loader | af45c7bef3afe4dee930754386a1763a28574d6c | [
"MIT"
] | null | null | null | config_loader/loader.py | egabancho/config-loader | af45c7bef3afe4dee930754386a1763a28574d6c | [
"MIT"
] | null | null | null | """Configuration loader class."""
import ast
import logging
import os
import types
from operator import attrgetter
import pkg_resources
logger = logging.getLogger(__name__)
class Config(object):
"""Configuration loader, it's like a normal dictionary with super-powers.
It will load configuration in the fol... | 32.87013 | 79 | 0.633544 | 610 | 5,062 | 5.060656 | 0.286885 | 0.042112 | 0.036281 | 0.017493 | 0.122773 | 0.07645 | 0.07645 | 0.029155 | 0 | 0 | 0 | 0.001106 | 0.285263 | 5,062 | 153 | 80 | 33.084967 | 0.852128 | 0.391545 | 0 | 0 | 0 | 0 | 0.035551 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155844 | false | 0.012987 | 0.077922 | 0 | 0.324675 | 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 |
66055a1c87077054947e4816c06f4763187ad5d0 | 3,125 | py | Python | draugr/visualisation/seaborn_utilities/seaborn_enums.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 3 | 2019-09-27T08:04:59.000Z | 2020-12-02T06:14:45.000Z | draugr/visualisation/seaborn_utilities/seaborn_enums.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 64 | 2019-09-27T08:03:42.000Z | 2022-03-28T15:07:30.000Z | draugr/visualisation/seaborn_utilities/seaborn_enums.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 1 | 2020-10-01T00:18:57.000Z | 2020-10-01T00:18:57.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "Christian Heider Nielsen"
__doc__ = r"""
Created on 26-01-2021
"""
from enum import Enum
from typing import Tuple
import numpy
from matplotlib import patheffects, pyplot
__all__ = ["plot_median_labels", "show_values_on_bars"]
from ... | 28.935185 | 86 | 0.57632 | 392 | 3,125 | 4.346939 | 0.392857 | 0.023474 | 0.025822 | 0.028169 | 0.134977 | 0.085681 | 0.068075 | 0.068075 | 0.068075 | 0.068075 | 0 | 0.009809 | 0.31488 | 3,125 | 107 | 87 | 29.205607 | 0.786081 | 0.1712 | 0 | 0.081081 | 0 | 0 | 0.086328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.067568 | 0 | 0.243243 | 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 |
66085420dcc9a5728829c81982cb5b8af048ece5 | 1,061 | py | Python | py/callback_dashboard.py | pnvnd/plotly | ede0bb0bb92484c2e3bf4e3631fa97f547e02c16 | [
"Unlicense"
] | null | null | null | py/callback_dashboard.py | pnvnd/plotly | ede0bb0bb92484c2e3bf4e3631fa97f547e02c16 | [
"Unlicense"
] | null | null | null | py/callback_dashboard.py | pnvnd/plotly | ede0bb0bb92484c2e3bf4e3631fa97f547e02c16 | [
"Unlicense"
] | 1 | 2022-01-22T17:19:25.000Z | 2022-01-22T17:19:25.000Z | from dash import dash, dcc, html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
url = 'csv/covidtesting.csv'
df = pd.read_csv(url)
app = dash.Dash()
# list = df.columns[1:]
# filter_options = []
# for option in list:
# filter_options.append({'label': str(option), ... | 24.113636 | 89 | 0.597549 | 140 | 1,061 | 4.407143 | 0.485714 | 0.04376 | 0.048622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003667 | 0.229029 | 1,061 | 44 | 90 | 24.113636 | 0.750611 | 0.183789 | 0 | 0 | 0 | 0 | 0.17907 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.137931 | 0.034483 | 0.206897 | 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 |
6608592b97fcda5eb8dc5fb8cb22369434750380 | 4,288 | py | Python | appface.py | iljoong/FaceTag | c43fce89c92ce6de2f397580d80aa834d3e2dbb6 | [
"MIT"
] | 2 | 2021-11-12T15:30:55.000Z | 2021-11-14T13:53:13.000Z | appface.py | iljoong/FaceTag | c43fce89c92ce6de2f397580d80aa834d3e2dbb6 | [
"MIT"
] | 1 | 2018-07-31T08:30:33.000Z | 2018-08-01T04:44:52.000Z | appface.py | iljoong/FaceTag | c43fce89c92ce6de2f397580d80aa834d3e2dbb6 | [
"MIT"
] | 1 | 2021-11-12T15:31:00.000Z | 2021-11-12T15:31:00.000Z | ###############################################################################################
from keras.models import Model, load_model
from PIL import Image
import numpy as np
import time
import cv2
import os
import logging
import pymongo
#import dlib
import requests
import appconfig
import json
cascade = cv2.Cas... | 28.586667 | 145 | 0.614039 | 522 | 4,288 | 4.948276 | 0.350575 | 0.046458 | 0.023229 | 0.034843 | 0.213318 | 0.19125 | 0.171119 | 0.14789 | 0.121564 | 0.121564 | 0 | 0.019673 | 0.229478 | 4,288 | 149 | 146 | 28.778523 | 0.762107 | 0.016791 | 0 | 0.204819 | 0 | 0.012048 | 0.153633 | 0.051416 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060241 | false | 0 | 0.13253 | 0 | 0.277108 | 0.012048 | 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 |