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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d467fadd8af4902f63395f8f7006d9ea2380851a | 10,037 | py | Python | dfdone/plot.py | elespike/dfdone | c514e290a0eb0f74fd3c8f74ddbfddb917b2a629 | [
"MIT"
] | 7 | 2020-06-05T15:33:40.000Z | 2021-03-07T16:57:55.000Z | dfdone/plot.py | elespike/dfdone | c514e290a0eb0f74fd3c8f74ddbfddb917b2a629 | [
"MIT"
] | null | null | null | dfdone/plot.py | elespike/dfdone | c514e290a0eb0f74fd3c8f74ddbfddb917b2a629 | [
"MIT"
] | 1 | 2020-06-05T20:01:46.000Z | 2020-06-05T20:01:46.000Z | from collections import defaultdict as ddict
from operator import attrgetter, methodcaller
from string import punctuation
from graphviz import Digraph
from dfdone.enums import (
Profile,
Role,
)
ASSUMPTION = 'assumption'
DATA = 'data'
MEASURE = 'measure'
THREAT = 'threat'
def table_from_list(class_name, t... | 32.800654 | 78 | 0.565209 | 1,105 | 10,037 | 4.98371 | 0.171041 | 0.042491 | 0.046305 | 0.03087 | 0.284729 | 0.228255 | 0.184311 | 0.153986 | 0.133467 | 0.077719 | 0 | 0.002119 | 0.29461 | 10,037 | 305 | 79 | 32.908197 | 0.775706 | 0.017535 | 0 | 0.229249 | 0 | 0 | 0.209132 | 0.093962 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047431 | false | 0 | 0.019763 | 0.003953 | 0.106719 | 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 |
d468f2c87e5ec8bf7bc10de9d752f8c5b503e861 | 1,159 | py | Python | asilmedia.py | kamronbek29/asilmedia_scrapper | b94b6a0fc05f22adab8ba18ea466cd8511dfd319 | [
"MIT"
] | null | null | null | asilmedia.py | kamronbek29/asilmedia_scrapper | b94b6a0fc05f22adab8ba18ea466cd8511dfd319 | [
"MIT"
] | null | null | null | asilmedia.py | kamronbek29/asilmedia_scrapper | b94b6a0fc05f22adab8ba18ea466cd8511dfd319 | [
"MIT"
] | null | null | null | import os
import requests
from pyquery import PyQuery as pq
def get_download_url(movie_url):
get_request = requests.get(movie_url)
get_request_str = str(get_request.content, 'utf-8')
pq_obj_items = pq(get_request_str)('div.download-list.d-hidden').eq(0)('div')('a').items()
download_urls = []
fo... | 28.975 | 117 | 0.701467 | 171 | 1,159 | 4.479532 | 0.450292 | 0.129243 | 0.05483 | 0.046997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01658 | 0.167386 | 1,159 | 39 | 118 | 29.717949 | 0.777202 | 0 | 0 | 0 | 0 | 0.038462 | 0.156169 | 0.022433 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.115385 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d46f429828765f453153f4024780bc7dd3ec8f3f | 1,011 | py | Python | scripts/venv/lib/python2.7/site-packages/cogent/struct/annotation.py | sauloal/cnidaria | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | [
"MIT"
] | 3 | 2015-11-20T08:44:42.000Z | 2016-12-14T01:40:03.000Z | scripts/venv/lib/python2.7/site-packages/cogent/struct/annotation.py | sauloal/cnidaria | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | [
"MIT"
] | 1 | 2017-09-04T14:04:32.000Z | 2020-05-26T19:04:00.000Z | scripts/venv/lib/python2.7/site-packages/cogent/struct/annotation.py | sauloal/cnidaria | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | [
"MIT"
] | null | null | null | """Contains functions to annotate macromolecular entities."""
from cogent.core.entity import HIERARCHY
__author__ = "Marcin Cieslik"
__copyright__ = "Copyright 2007-2012, The Cogent Project"
__credits__ = ["Marcin Cieslik"]
__license__ = "GPL"
__version__ = "1.5.3"
__maintainer__ = "Marcin Cieslik"
__email__ = "mpc4p... | 33.7 | 80 | 0.670623 | 133 | 1,011 | 4.75188 | 0.541353 | 0.056962 | 0.031646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015484 | 0.233432 | 1,011 | 29 | 81 | 34.862069 | 0.8 | 0.373887 | 0 | 0 | 0 | 0 | 0.198988 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 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 |
d470ff56ce7d42894f9f9e01bcb618251f87a397 | 3,618 | py | Python | cerebralcortex/core/data_manager/sql/kafka_offsets_handler.py | brinnaebent/CerebralCortex-Kernel | b0daad06df118d27e62e178e123170e8f189065e | [
"BSD-2-Clause"
] | null | null | null | cerebralcortex/core/data_manager/sql/kafka_offsets_handler.py | brinnaebent/CerebralCortex-Kernel | b0daad06df118d27e62e178e123170e8f189065e | [
"BSD-2-Clause"
] | null | null | null | cerebralcortex/core/data_manager/sql/kafka_offsets_handler.py | brinnaebent/CerebralCortex-Kernel | b0daad06df118d27e62e178e123170e8f189065e | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2019, MD2K Center of Excellence
# - Nasir Ali <nasir.ali08@gmail.com>
# 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 cop... | 45.225 | 147 | 0.67717 | 471 | 3,618 | 5.140127 | 0.426752 | 0.027261 | 0.014044 | 0.019 | 0.193309 | 0.125568 | 0.125568 | 0.056175 | 0.056175 | 0.056175 | 0 | 0.002568 | 0.246545 | 3,618 | 79 | 148 | 45.797468 | 0.885547 | 0.612217 | 0 | 0 | 0 | 0.041667 | 0.17893 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 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 |
d4736994de9c464bb6f5278b4dbda2f2dd43fd96 | 3,790 | py | Python | Rejection-System/rejection_system.py | willtop/imitation-learning | 2c00f77e4e575e38ef233cc5eac6862e598ec4ac | [
"MIT"
] | null | null | null | Rejection-System/rejection_system.py | willtop/imitation-learning | 2c00f77e4e575e38ef233cc5eac6862e598ec4ac | [
"MIT"
] | null | null | null | Rejection-System/rejection_system.py | willtop/imitation-learning | 2c00f77e4e575e38ef233cc5eac6862e598ec4ac | [
"MIT"
] | null | null | null | import os
import tensorflow as tf
import numpy as np
import rejection_network
class RejectionSystem():
def __init__(self):
self.dir_path = os.path.dirname(os.path.abspath(__file__))
self._train_dir = os.path.join(self.dir_path, "Data/Train/")
self._valid_dir = os.path.join(self.dir_path, ... | 48.589744 | 167 | 0.629815 | 428 | 3,790 | 5.196262 | 0.240654 | 0.044514 | 0.026978 | 0.051709 | 0.186151 | 0.186151 | 0.144784 | 0.107914 | 0 | 0 | 0 | 0.003308 | 0.282058 | 3,790 | 77 | 168 | 49.220779 | 0.814039 | 0.004222 | 0 | 0.029851 | 0 | 0 | 0.07266 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059701 | false | 0 | 0.059701 | 0 | 0.179104 | 0.089552 | 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 |
d473bd2a6111d692be84e1c6bd981d1b8ff3ee2c | 2,370 | py | Python | examples/display_youtube_subs_single_tilechain.py | netmanchris/pylifxtiles | f9a77fe0beaabff4c792032d7778a8ad2815e2bd | [
"Apache-2.0"
] | 6 | 2020-04-27T00:55:47.000Z | 2020-10-11T19:16:38.000Z | examples/display_youtube_subs_single_tilechain.py | netmanchris/pylifxtiles | f9a77fe0beaabff4c792032d7778a8ad2815e2bd | [
"Apache-2.0"
] | null | null | null | examples/display_youtube_subs_single_tilechain.py | netmanchris/pylifxtiles | f9a77fe0beaabff4c792032d7778a8ad2815e2bd | [
"Apache-2.0"
] | null | null | null | import requests
import inflect
#create a file called secrets.py and place your googleAPI key in a var called youtube_api_key DO NOT POSTS THIS TO GITHUB
from lifxlan import *
# from random import randint, betavariate
from time import sleep
from examples.secrets import youtube_api_key
from pylifxtiles import actions
fro... | 32.465753 | 121 | 0.627426 | 295 | 2,370 | 4.820339 | 0.4 | 0.063291 | 0.027426 | 0.019691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018681 | 0.277215 | 2,370 | 73 | 122 | 32.465753 | 0.811442 | 0.118987 | 0 | 0 | 0 | 0 | 0.094095 | 0.011522 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.160714 | 0 | 0.214286 | 0.125 | 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 |
d47455c84e22f79970850d0a4f527fa6cc12c816 | 6,031 | py | Python | lib/cfnvpn/templates/lambdas/auto_route_populator/app.py | base2Services/cfn-vpn | d26c01eb675cd47b2162aefeb26540a2a5891062 | [
"MIT"
] | 1 | 2019-10-17T02:36:16.000Z | 2019-10-17T02:36:16.000Z | lib/cfnvpn/templates/lambdas/auto_route_populator/app.py | base2Services/cfn-vpn | d26c01eb675cd47b2162aefeb26540a2a5891062 | [
"MIT"
] | 7 | 2019-12-12T00:34:31.000Z | 2022-03-30T03:47:51.000Z | lib/cfnvpn/templates/lambdas/auto_route_populator/app.py | base2Services/cfn-vpn | d26c01eb675cd47b2162aefeb26540a2a5891062 | [
"MIT"
] | 7 | 2019-12-11T22:23:15.000Z | 2021-11-23T03:51:54.000Z | import socket
import boto3
from botocore.exceptions import ClientError
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def delete_route(client, vpn_endpoint, subnet, cidr):
client.delete_client_vpn_route(
ClientVpnEndpointId=vpn_endpoint,
TargetVpcSubnetId=subnet,
Dest... | 34.462857 | 138 | 0.664898 | 725 | 6,031 | 5.455172 | 0.213793 | 0.047282 | 0.041719 | 0.040455 | 0.384324 | 0.251833 | 0.199747 | 0.151201 | 0.129456 | 0.076865 | 0 | 0.001729 | 0.232631 | 6,031 | 175 | 139 | 34.462857 | 0.852852 | 0.111259 | 0 | 0.333333 | 0 | 0 | 0.280187 | 0.033271 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054264 | false | 0.015504 | 0.031008 | 0 | 0.116279 | 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 |
d47d005c02515ac759e7040407be536af13a0a86 | 1,392 | py | Python | full-problems/topKNumbers.py | vikas-t/DS-Algo | ea654d1cad5374c824c52da9d3815a9546eb43fa | [
"Apache-2.0"
] | null | null | null | full-problems/topKNumbers.py | vikas-t/DS-Algo | ea654d1cad5374c824c52da9d3815a9546eb43fa | [
"Apache-2.0"
] | null | null | null | full-problems/topKNumbers.py | vikas-t/DS-Algo | ea654d1cad5374c824c52da9d3815a9546eb43fa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# https://practice.geeksforgeeks.org/problems/top-k-numbers/0
def sol(arr, n, k):
f = {0:0}
rl = [0]*(k+1)
# Lets initialise a list of k+1 elements
# We have taken one extra element here so as we dont overwrite an existing
# result or subresult
for x in arr:
f[x... | 33.95122 | 78 | 0.514368 | 217 | 1,392 | 3.299539 | 0.442396 | 0.058659 | 0.039106 | 0.050279 | 0.087989 | 0.087989 | 0.087989 | 0.064246 | 0.064246 | 0.064246 | 0 | 0.022248 | 0.386494 | 1,392 | 41 | 79 | 33.95122 | 0.816159 | 0.479167 | 0 | 0.190476 | 0 | 0 | 0.001406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0 | 0 | 0.047619 | 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 |
d47da1a3567c0646e5b6d191bc5adb903cf32946 | 2,125 | py | Python | pymeta.py | ustayready/python-pentesting | 9a2e22eebbd7b7869bef43ae5dddd45a20558095 | [
"MIT"
] | 135 | 2020-02-28T23:22:00.000Z | 2022-03-29T03:48:31.000Z | pymeta.py | treebuilder/python-pentesting | 9a2e22eebbd7b7869bef43ae5dddd45a20558095 | [
"MIT"
] | null | null | null | pymeta.py | treebuilder/python-pentesting | 9a2e22eebbd7b7869bef43ae5dddd45a20558095 | [
"MIT"
] | 45 | 2020-03-01T04:12:08.000Z | 2022-02-02T22:43:15.000Z | import os
import re
import argparse
import zipfile
import PyPDF2
from lxml import etree as ET
class PyMetaExtractor():
ext = ['docx', 'xlsx', 'pptx', 'pdf']
rexp = re.compile(r'.+\.({})$'.format('|'.join(ext)))
def __init__(self, directory):
self.directory = os.path.abspath(directory... | 32.19697 | 74 | 0.499765 | 205 | 2,125 | 4.731707 | 0.463415 | 0.053608 | 0.020619 | 0.035052 | 0.045361 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011161 | 0.367529 | 2,125 | 66 | 75 | 32.19697 | 0.710565 | 0 | 0 | 0.103448 | 0 | 0 | 0.163998 | 0.037846 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.103448 | 0 | 0.241379 | 0.103448 | 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 |
d482268b3a67acf7c98e550f439531564a00f5c4 | 6,497 | py | Python | tests/test_operation_filter.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | tests/test_operation_filter.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | tests/test_operation_filter.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | import pytest
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql as pg
from jessiql import QueryObjectDict
from jessiql.sainfo.version import SA_14
from jessiql.testing.insert import insert
from jessiql.testing.recreate_tables import created_tables
from jessiql.util import sacompat
from .util.models i... | 44.197279 | 151 | 0.579806 | 868 | 6,497 | 4.210829 | 0.176267 | 0.093023 | 0.048153 | 0.01751 | 0.533516 | 0.435021 | 0.343912 | 0.309439 | 0.251436 | 0.196443 | 0 | 0.015799 | 0.210867 | 6,497 | 146 | 152 | 44.5 | 0.697094 | 0.100508 | 0 | 0.163265 | 0 | 0 | 0.260472 | 0.009309 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030612 | false | 0 | 0.102041 | 0 | 0.255102 | 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 |
d484862ba3e2f33977b9dfb27a2a6296e1c0eb7b | 1,051 | py | Python | setup.py | dykesk/gaussian-wake | d06509af9740a25e9e5be459fdc3a3644fdf609d | [
"Apache-2.0"
] | 3 | 2017-10-21T15:32:17.000Z | 2021-11-23T04:44:11.000Z | setup.py | dykesk/gaussian-wake | d06509af9740a25e9e5be459fdc3a3644fdf609d | [
"Apache-2.0"
] | 3 | 2017-08-01T20:04:06.000Z | 2019-06-24T18:21:38.000Z | setup.py | dykesk/gaussian-wake | d06509af9740a25e9e5be459fdc3a3644fdf609d | [
"Apache-2.0"
] | 3 | 2019-07-01T19:03:06.000Z | 2020-02-23T10:40:17.000Z | #!/usr/bin/env python
# encoding: utf-8
from numpy.distutils.core import setup, Extension
module1 = Extension('_porteagel_fortran', sources=['src/gaussianwake/gaussianwake.f90',
'src/gaussianwake/gaussianwake_bv.f90',
... | 43.791667 | 90 | 0.531874 | 98 | 1,051 | 5.591837 | 0.693878 | 0.164234 | 0.14781 | 0.109489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034682 | 0.341579 | 1,051 | 24 | 91 | 43.791667 | 0.757225 | 0.067555 | 0 | 0 | 0 | 0 | 0.372188 | 0.161554 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 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 |
d48923ca32ecdfba04756e192b86f66124d82a4a | 1,473 | py | Python | src/datalaunch_server/backend/run.py | mfaafm/datalaunch-server | 0518b786378e8a2bc8808adbd91ae41f3f72d70d | [
"MIT"
] | null | null | null | src/datalaunch_server/backend/run.py | mfaafm/datalaunch-server | 0518b786378e8a2bc8808adbd91ae41f3f72d70d | [
"MIT"
] | null | null | null | src/datalaunch_server/backend/run.py | mfaafm/datalaunch-server | 0518b786378e8a2bc8808adbd91ae41f3f72d70d | [
"MIT"
] | null | null | null | import uuid
import threading
from datetime import datetime
from .execution import RunExecution
class RunBackend(object):
def __init__(self, workspace):
self.workspace = workspace
self.db = workspace.db
self.storage = workspace.storage
def create_run(self, specification):
run_i... | 25.842105 | 76 | 0.614392 | 183 | 1,473 | 4.704918 | 0.245902 | 0.081301 | 0.046458 | 0.041812 | 0.225319 | 0.039489 | 0 | 0 | 0 | 0 | 0 | 0.000939 | 0.276986 | 1,473 | 56 | 77 | 26.303571 | 0.807512 | 0 | 0 | 0 | 0 | 0 | 0.081466 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.095238 | 0.071429 | 0.404762 | 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 |
00f66e72c3e4bcc933d8c4833a291f52c75faf20 | 440 | py | Python | mindhome_alpha/erpnext/www/lms/index.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | mindhome_alpha/erpnext/www/lms/index.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | null | null | null | mindhome_alpha/erpnext/www/lms/index.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
import erpnext.education.utils as utils
import frappe
no_cache = 1
def get_context(context):
context.education_settings = frappe.get_single("Education Settings")
if not context.education_settings.enable_lms:
frappe.local.flags.redirect_location = '/'
raise frappe.Redirect... | 27.5 | 69 | 0.820455 | 58 | 440 | 5.896552 | 0.534483 | 0.149123 | 0.140351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002532 | 0.102273 | 440 | 16 | 70 | 27.5 | 0.863291 | 0 | 0 | 0 | 0 | 0 | 0.043084 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.25 | 0.083333 | 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 |
00f6d7849b57443a7fcfc0dd2b15cbcd9d92e769 | 1,748 | py | Python | src/800_predict_with_lightgbm.py | j20232/kaggle_earthquake | 47fac5f2e8d2ad4fab82426a0b6af18b71e4b57b | [
"MIT"
] | null | null | null | src/800_predict_with_lightgbm.py | j20232/kaggle_earthquake | 47fac5f2e8d2ad4fab82426a0b6af18b71e4b57b | [
"MIT"
] | null | null | null | src/800_predict_with_lightgbm.py | j20232/kaggle_earthquake | 47fac5f2e8d2ad4fab82426a0b6af18b71e4b57b | [
"MIT"
] | null | null | null | """Predict labels with lightgbm models"""
import os
import sys
import json
import pandas as pd
import lightgbm as lgb
from pathlib import Path
import competition as cc
from common import stop_watch, predict_chunk
# For osx
os.environ['KMP_DUPLICATE_LIB_OK'] = "True"
@stop_watch
def predict_with_lightgbm():
model... | 34.27451 | 81 | 0.680206 | 260 | 1,748 | 4.276923 | 0.338462 | 0.072842 | 0.028777 | 0.021583 | 0.077338 | 0.077338 | 0.077338 | 0.077338 | 0.077338 | 0.077338 | 0 | 0.003556 | 0.195652 | 1,748 | 50 | 82 | 34.96 | 0.78734 | 0.025172 | 0 | 0 | 0 | 0 | 0.087161 | 0 | 0 | 0 | 0 | 0 | 0.023256 | 1 | 0.023256 | false | 0 | 0.186047 | 0 | 0.209302 | 0.023256 | 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 |
00f7909565a967fdf18011834d450c60108175a8 | 1,782 | py | Python | archive/urls.py | radon-provenance/radon-web | 83f5b46f57f157d4ac4c7f2d8ec4c955cc512b5a | [
"Apache-2.0"
] | null | null | null | archive/urls.py | radon-provenance/radon-web | 83f5b46f57f157d4ac4c7f2d8ec4c955cc512b5a | [
"Apache-2.0"
] | 5 | 2020-06-09T09:28:07.000Z | 2020-06-12T13:36:52.000Z | archive/urls.py | radon-provenance/radon-web | 83f5b46f57f157d4ac4c7f2d8ec4c955cc512b5a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distr... | 34.941176 | 86 | 0.714366 | 234 | 1,782 | 5.324786 | 0.350427 | 0.051364 | 0.038523 | 0.025682 | 0.093098 | 0.051364 | 0 | 0 | 0 | 0 | 0 | 0.005302 | 0.153199 | 1,782 | 50 | 87 | 35.64 | 0.820411 | 0.298541 | 0 | 0 | 0 | 0 | 0.321718 | 0.126418 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 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 |
00f9ebf2f0b587c3e9e4c70a58e0e5c0b2107dc9 | 2,528 | py | Python | scripts.python3/recover_howde_tree.py | rsharris/HowDeSBT-multi_make_bf | 4f45e27a9b70a8c470f80ede086c58c2683774f9 | [
"MIT"
] | null | null | null | scripts.python3/recover_howde_tree.py | rsharris/HowDeSBT-multi_make_bf | 4f45e27a9b70a8c470f80ede086c58c2683774f9 | [
"MIT"
] | null | null | null | scripts.python3/recover_howde_tree.py | rsharris/HowDeSBT-multi_make_bf | 4f45e27a9b70a8c470f80ede086c58c2683774f9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Recover the tree relationship from a howde tree hierarchy file.
"""
from sys import argv,stdin,stdout,stderr,exit
from howde_tree_parse import read_howde_tree_file
def usage(s=None):
message = """
usage: cat howde_tree_file | recover_howde_tree [options]
--show=preorder ... | 29.395349 | 81 | 0.627373 | 330 | 2,528 | 4.706061 | 0.339394 | 0.034771 | 0.025113 | 0.021893 | 0.034771 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004082 | 0.224684 | 2,528 | 85 | 82 | 29.741176 | 0.788265 | 0.049446 | 0 | 0.095238 | 0 | 0 | 0.419557 | 0.02758 | 0 | 0 | 0 | 0 | 0.047619 | 1 | 0.031746 | false | 0 | 0.031746 | 0 | 0.063492 | 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 |
00fdc14d8d6651a586f8e493f4b200f6fad1f8e4 | 2,641 | py | Python | feed.py | UphillD/Twitter-Feed | 9d48534f70a7522c0e06c2e0c51dd3b476eacbed | [
"MIT"
] | null | null | null | feed.py | UphillD/Twitter-Feed | 9d48534f70a7522c0e06c2e0c51dd3b476eacbed | [
"MIT"
] | null | null | null | feed.py | UphillD/Twitter-Feed | 9d48534f70a7522c0e06c2e0c51dd3b476eacbed | [
"MIT"
] | null | null | null | import json
import sys
import tkinter
from config import *
from imagefy import *
from twitter import *
# Get old rules
old_rules = get_rules()
print('Old rules received.')
# Delete old rules
delete_response = delete_rules(old_rules)
print('Old rules deleted.')
# Generate new rules
query_rules = generate_rules()
p... | 29.674157 | 117 | 0.706929 | 362 | 2,641 | 5.046961 | 0.370166 | 0.045977 | 0.035577 | 0.031199 | 0.124795 | 0.124795 | 0.081007 | 0.081007 | 0.081007 | 0.081007 | 0 | 0.006834 | 0.168875 | 2,641 | 88 | 118 | 30.011364 | 0.825513 | 0.179477 | 0 | 0.189655 | 0 | 0 | 0.16108 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.103448 | 0 | 0.103448 | 0.241379 | 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 |
00ff0ed92617aeee4a59104327ee5016ba50a470 | 3,632 | py | Python | tests/call_error_test.py | msaladna/mitogen | c6824b68181729cb16c090e72f4d35d6c4d95523 | [
"BSD-3-Clause"
] | 1,526 | 2017-09-15T18:49:40.000Z | 2021-01-17T16:04:12.000Z | tests/call_error_test.py | msaladna/mitogen | c6824b68181729cb16c090e72f4d35d6c4d95523 | [
"BSD-3-Clause"
] | 682 | 2017-09-11T17:43:12.000Z | 2021-01-17T05:26:26.000Z | tests/call_error_test.py | msaladna/mitogen | c6824b68181729cb16c090e72f4d35d6c4d95523 | [
"BSD-3-Clause"
] | 111 | 2017-09-15T23:21:37.000Z | 2021-01-01T14:45:35.000Z | import pickle
import sys
import unittest2
import mitogen.core
import testlib
import plain_old_module
class ConstructorTest(testlib.TestCase):
klass = mitogen.core.CallError
def test_string_noargs(self):
e = self.klass('%s%s')
self.assertEquals(e.args[0], '%s%s')
self.assertTrue(isi... | 31.582609 | 79 | 0.632434 | 489 | 3,632 | 4.509202 | 0.169734 | 0.047619 | 0.043537 | 0.095238 | 0.678458 | 0.606803 | 0.606803 | 0.573696 | 0.573696 | 0.573696 | 0 | 0.017806 | 0.226872 | 3,632 | 114 | 80 | 31.859649 | 0.76745 | 0.004956 | 0 | 0.476744 | 0 | 0 | 0.068106 | 0.027685 | 0 | 0 | 0 | 0 | 0.302326 | 1 | 0.162791 | false | 0 | 0.069767 | 0 | 0.302326 | 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 |
2e076b3f8694910f0ea4b0f6d1af437799ab9b18 | 288 | py | Python | mpsp_main.py | GeoCIA/MPSP | 2ccc8b82d619d52e7248e06999cfd95368608788 | [
"Apache-2.0"
] | null | null | null | mpsp_main.py | GeoCIA/MPSP | 2ccc8b82d619d52e7248e06999cfd95368608788 | [
"Apache-2.0"
] | null | null | null | mpsp_main.py | GeoCIA/MPSP | 2ccc8b82d619d52e7248e06999cfd95368608788 | [
"Apache-2.0"
] | null | null | null | from mpsp import FLIGHT, GROUNDTEST
from mpsp.mpsp import MPSP
import pyb
switch = pyb.Switch()
pyb.LED(3).on()
pyb.LED(1).on()
pyb.delay(4000)
pyb.LED(3).off()
pyb.LED(1).off()
if switch():
mode = FLIGHT
else:
mode = GROUNDTEST
pyb.delay(1000)
m = MPSP(mode)
m.init()
m.run()
| 13.714286 | 35 | 0.666667 | 51 | 288 | 3.764706 | 0.411765 | 0.125 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049383 | 0.15625 | 288 | 20 | 36 | 14.4 | 0.740741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
2e0b3ccedd271154d067c56ea6b56d4912fc2b1a | 331 | py | Python | hsf_website_helpers/util/repo.py | HSF/website-helpers | 7b01db3648d9f8026a318a4fac2fd3a8aeea354e | [
"MIT"
] | null | null | null | hsf_website_helpers/util/repo.py | HSF/website-helpers | 7b01db3648d9f8026a318a4fac2fd3a8aeea354e | [
"MIT"
] | null | null | null | hsf_website_helpers/util/repo.py | HSF/website-helpers | 7b01db3648d9f8026a318a4fac2fd3a8aeea354e | [
"MIT"
] | null | null | null | from pathlib import Path
def is_website_folder(path: Path):
"""Checks if path likely points at the hsf.github.io repository"""
existing_subfolders = [".git", "_profiles", "_data"]
for es in existing_subfolders:
if not (path / es).is_dir():
print(path, es)
return False
r... | 27.583333 | 70 | 0.634441 | 44 | 331 | 4.613636 | 0.727273 | 0.17734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.259819 | 331 | 11 | 71 | 30.090909 | 0.828571 | 0.181269 | 0 | 0 | 0 | 0 | 0.067925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.5 | 0.125 | 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 |
2e0f83a5679b19aa17f9519619b150c41b6a8ad9 | 8,529 | py | Python | ml-service/ml-model-dynamic-hosting/main.py | mathieu/decisions-on-ml | b0283851ae0db538c1f424bcba8bcd15d4a603da | [
"Apache-2.0"
] | null | null | null | ml-service/ml-model-dynamic-hosting/main.py | mathieu/decisions-on-ml | b0283851ae0db538c1f424bcba8bcd15d4a603da | [
"Apache-2.0"
] | 1 | 2020-06-04T15:59:04.000Z | 2020-06-04T15:59:04.000Z | ml-service/ml-model-dynamic-hosting/main.py | mathieu/decisions-on-ml | b0283851ae0db538c1f424bcba8bcd15d4a603da | [
"Apache-2.0"
] | 3 | 2020-06-04T16:28:31.000Z | 2021-11-05T17:11:55.000Z | #!flask/bin/python
import os
import uuid
from flask import Flask, jsonify
from flask import request, jsonify
from flask_restplus import Api, Resource, fields
from flask_restplus import reqparse
import pandas as pd
import numpy as np
from joblib import load
import pickle
import json
import requests
#
# Model register... | 35.390041 | 178 | 0.637941 | 929 | 8,529 | 5.733046 | 0.228202 | 0.045062 | 0.047315 | 0.054074 | 0.322005 | 0.292903 | 0.269245 | 0.240706 | 0.201465 | 0.163913 | 0 | 0.004666 | 0.246102 | 8,529 | 240 | 179 | 35.5375 | 0.823639 | 0.109743 | 0 | 0.148387 | 0 | 0 | 0.211964 | 0.02958 | 0.006452 | 0 | 0 | 0.004167 | 0 | 1 | 0.025806 | false | 0 | 0.077419 | 0 | 0.16129 | 0.025806 | 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 |
2e14507604ab4d37b2d654a12f456017f680cf04 | 12,466 | py | Python | src/train_val.py | pzzhang/sasa | e663d7666e85de8e5a7a664a6b37d988008ab007 | [
"MIT"
] | 1 | 2020-01-28T15:22:16.000Z | 2020-01-28T15:22:16.000Z | src/train_val.py | pzzhang/sasa | e663d7666e85de8e5a7a664a6b37d988008ab007 | [
"MIT"
] | null | null | null | src/train_val.py | pzzhang/sasa | e663d7666e85de8e5a7a664a6b37d988008ab007 | [
"MIT"
] | 1 | 2021-06-10T05:04:24.000Z | 2021-06-10T05:04:24.000Z | # Copyright (c) Microsoft. All rights reserved.
import time
import logging
import torch
from rnndata import repackage_hidden, clone_hidden, get_batch
from utils import get_lr_mom, AverageMeter
def compute_accuracy(output, target, topk=(1,)):
"""Computes the precision@k for the specified values of k"""
with t... | 40.872131 | 106 | 0.572437 | 1,578 | 12,466 | 4.382129 | 0.1673 | 0.012292 | 0.030369 | 0.031815 | 0.549964 | 0.497759 | 0.447289 | 0.400578 | 0.349385 | 0.338684 | 0 | 0.026165 | 0.300979 | 12,466 | 305 | 107 | 40.872131 | 0.767386 | 0.090967 | 0 | 0.540773 | 0 | 0.012876 | 0.095133 | 0.006283 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034335 | false | 0 | 0.021459 | 0 | 0.081545 | 0.021459 | 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 |
2e15b17caf196545a558db1448e485770a951b9c | 10,449 | py | Python | venv/Lib/site-packages/PySide2/examples/xmlpatterns/schema/schema_rc.py | TEDxVienna/continuum | 85cefbc274fc59e2059c313bc0d3b9b93a34ba6d | [
"MIT"
] | null | null | null | venv/Lib/site-packages/PySide2/examples/xmlpatterns/schema/schema_rc.py | TEDxVienna/continuum | 85cefbc274fc59e2059c313bc0d3b9b93a34ba6d | [
"MIT"
] | null | null | null | venv/Lib/site-packages/PySide2/examples/xmlpatterns/schema/schema_rc.py | TEDxVienna/continuum | 85cefbc274fc59e2059c313bc0d3b9b93a34ba6d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Resource object code
#
# Created: Thu Sep 5 07:07:53 2019
# by: The Resource Compiler for PySide2 (Qt v5.13.1)
#
# WARNING! All changes made in this file will be lost!
from PySide2 import QtCore
qt_resource_data = b"\
\x00\x00\x015\
<\
contact>\x0d\x0a <g\
ivenName>John</g\
ivenName... | 22.137712 | 96 | 0.616136 | 1,637 | 10,449 | 3.91631 | 0.259621 | 0.15723 | 0.096865 | 0.071128 | 0.592887 | 0.519576 | 0.435346 | 0.339729 | 0.260958 | 0.20652 | 0 | 0.1721 | 0.180879 | 10,449 | 471 | 97 | 22.184713 | 0.576937 | 0.017609 | 0 | 0.300439 | 0 | 0.041667 | 0 | 0 | 0 | 0 | 0.00078 | 0 | 0 | 1 | 0.004386 | false | 0 | 0.002193 | 0 | 0.006579 | 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 |
2e1a6d385104b92cdf4c3b65e8d847fac4046e9c | 2,441 | py | Python | play.py | apgeorg/rl-cartpole-balancer | 673c934326c90982460eb63543333334af1390a9 | [
"MIT"
] | 1 | 2018-12-24T13:49:32.000Z | 2018-12-24T13:49:32.000Z | play.py | apgeorg/rl-cartpole-balancer | 673c934326c90982460eb63543333334af1390a9 | [
"MIT"
] | null | null | null | play.py | apgeorg/rl-cartpole-balancer | 673c934326c90982460eb63543333334af1390a9 | [
"MIT"
] | null | null | null | import gym
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
from agents.dqn import DQN
def create_model(states, actions):
model = Sequential()
model.add(Dense(24, input_dim=states, activation='relu'))
model.add(Dense(24, activation='rel... | 39.370968 | 119 | 0.606719 | 321 | 2,441 | 4.46729 | 0.311526 | 0.069038 | 0.027197 | 0.020921 | 0.248257 | 0.161785 | 0.122734 | 0.122734 | 0.078103 | 0.078103 | 0 | 0.024349 | 0.276526 | 2,441 | 62 | 120 | 39.370968 | 0.787656 | 0.029086 | 0 | 0.275862 | 0 | 0 | 0.078125 | 0.010557 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051724 | false | 0 | 0.103448 | 0 | 0.206897 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2e1ba8922cf58bb90287d078e5a54ad5ae1af3bf | 46,505 | py | Python | Database/DataBaseGenerator.py | matteoNunz/ImmunoPoli | 4a6688cc70715feefd9ed71e13aafa90b45a9a62 | [
"MIT"
] | null | null | null | Database/DataBaseGenerator.py | matteoNunz/ImmunoPoli | 4a6688cc70715feefd9ed71e13aafa90b45a9a62 | [
"MIT"
] | null | null | null | Database/DataBaseGenerator.py | matteoNunz/ImmunoPoli | 4a6688cc70715feefd9ed71e13aafa90b45a9a62 | [
"MIT"
] | 2 | 2021-12-22T09:07:09.000Z | 2021-12-24T19:27:26.000Z | """
Date: 28/10/2021
Neo4J generator for ImmunoPoli project
"""
import neo4j as nj
import App.PlotDBStructure as ps
from random import randint, random
from enum import IntEnum
import datetime
MAX_CIVIC_NUMBER = 100
PHONE_NUMBER_LENGTH = 10
MAX_NUMBER_OF_FAMILY_MEMBER = 5
NUMBER_OF_FAMILY = 150
MAX_NUMBER_OF_CONTAC... | 32.227997 | 130 | 0.606666 | 5,475 | 46,505 | 5.107215 | 0.100639 | 0.011086 | 0.008762 | 0.011587 | 0.446034 | 0.381804 | 0.327802 | 0.293684 | 0.258637 | 0.232315 | 0 | 0.011855 | 0.281712 | 46,505 | 1,442 | 131 | 32.250347 | 0.825231 | 0.250317 | 0 | 0.334187 | 0 | 0.021767 | 0.159012 | 0.039623 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080666 | false | 0.002561 | 0.006402 | 0 | 0.176697 | 0.010243 | 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 |
2e1c8db5594b84531a71f4ac6141cb6cebad50e7 | 1,073 | py | Python | code/DNN/MiniFramework/HyperParameters_4_1.py | Knowledge-Precipitation-Tribe/Neural-network | eac2e66cdde85b34ddf9313ce4d2b123cc1b8be8 | [
"MIT"
] | 3 | 2021-05-25T10:18:23.000Z | 2022-02-09T08:55:14.000Z | code/DNN/MiniFramework/HyperParameters_4_1.py | Knowledge-Precipitation-Tribe/Neural-network | eac2e66cdde85b34ddf9313ce4d2b123cc1b8be8 | [
"MIT"
] | null | null | null | code/DNN/MiniFramework/HyperParameters_4_1.py | Knowledge-Precipitation-Tribe/Neural-network | eac2e66cdde85b34ddf9313ce4d2b123cc1b8be8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-#
'''
# Name: HyperParameters_4_0
# Description:
# Author: super
# Date: 2020/6/2
'''
from MiniFramework.EnumDef_4_0 import *
# this class is for two-layer NN only
class HyperParameters_4_1(object):
def __init__(self, eta=0.1, max_epoch=10000, batch_size=5,
... | 32.515152 | 136 | 0.59739 | 139 | 1,073 | 4.381295 | 0.467626 | 0.103448 | 0.064039 | 0.039409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035667 | 0.294501 | 1,073 | 33 | 137 | 32.515152 | 0.768824 | 0.188257 | 0 | 0 | 0 | 0 | 0.034884 | 0.034884 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.05 | 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 |
2e1d901364494765f2ea9f357679476f51d416cd | 584 | py | Python | recurce_13/i_conference_lovers_v2.py | master-cim/algorithm | a57f473ceb32b96240989e31ac33154e55c00724 | [
"MIT"
] | 1 | 2022-03-31T07:30:53.000Z | 2022-03-31T07:30:53.000Z | recurce_13/i_conference_lovers_v2.py | master-cim/algorithm | a57f473ceb32b96240989e31ac33154e55c00724 | [
"MIT"
] | null | null | null | recurce_13/i_conference_lovers_v2.py | master-cim/algorithm | a57f473ceb32b96240989e31ac33154e55c00724 | [
"MIT"
] | 2 | 2022-03-04T09:42:03.000Z | 2022-03-30T14:51:32.000Z | # I. Любители конференций
# ID успешной посылки 66248195
from collections import Counter
def conference_lovers(id_university, k):
number_participant = Counter(id_university)
k_max = number_participant.most_common()[0:k:]
result = [univer[0] for univer in k_max]
print(' '.join(map(str, result)))
def ... | 25.391304 | 73 | 0.693493 | 78 | 584 | 4.884615 | 0.512821 | 0.188976 | 0.170604 | 0.146982 | 0.152231 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020877 | 0.179795 | 584 | 22 | 74 | 26.545455 | 0.77453 | 0.089041 | 0 | 0 | 0 | 0 | 0.017013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.214286 | 0.071429 | 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 |
2e1feda997e60649764860b6a4e1f4de31bd698d | 2,327 | py | Python | app/routes/user.py | Axtell-io/Axtell | 2f660450ca2eb70cc0520ad970c9aabdc65a3bb7 | [
"MIT"
] | 15 | 2018-04-20T14:56:59.000Z | 2021-03-31T20:16:29.000Z | app/routes/user.py | Axtell/Axtell | 2f660450ca2eb70cc0520ad970c9aabdc65a3bb7 | [
"MIT"
] | 148 | 2018-04-17T01:47:44.000Z | 2020-05-14T13:24:03.000Z | app/routes/user.py | Axtell-io/Axtell | 2f660450ca2eb70cc0520ad970c9aabdc65a3bb7 | [
"MIT"
] | 7 | 2018-06-01T11:15:18.000Z | 2020-08-14T04:24:50.000Z | from app.helpers.render import render_template, render_error
from app.controllers import user
from app.models.User import User, UserAuthToken
from app.server import server
from flask import g, request, redirect, url_for, abort
from app.session.csrf import csrf_protected
# noinspection PyUnusedLocal
@server.route("/... | 33.242857 | 127 | 0.728406 | 337 | 2,327 | 4.830861 | 0.25816 | 0.092138 | 0.064496 | 0.031327 | 0.383292 | 0.322482 | 0.273956 | 0.202703 | 0.202703 | 0.160934 | 0 | 0.007905 | 0.130211 | 2,327 | 69 | 128 | 33.724638 | 0.796443 | 0.060163 | 0 | 0.136364 | 0 | 0 | 0.153917 | 0.09574 | 0 | 0 | 0 | 0 | 0 | 1 | 0.159091 | false | 0 | 0.136364 | 0.090909 | 0.545455 | 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 |
2e20d0f7055a8efeb21c1bd0269a9e0a1afa7cf4 | 8,616 | py | Python | captioning/utils/rewards.py | YapingZ/News-image-caption | fcccf51bbe5607adbf71c1da8ecdc6693555993f | [
"Apache-2.0"
] | null | null | null | captioning/utils/rewards.py | YapingZ/News-image-caption | fcccf51bbe5607adbf71c1da8ecdc6693555993f | [
"Apache-2.0"
] | null | null | null | captioning/utils/rewards.py | YapingZ/News-image-caption | fcccf51bbe5607adbf71c1da8ecdc6693555993f | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import time
from collections import OrderedDict
import torch
import sys
try:
sys.path.append("cider")
from pyciderevalcap.ciderD.ciderD import CiderD
from pyciderevalcap.cider.ci... | 37.298701 | 173 | 0.67572 | 1,342 | 8,616 | 4.008197 | 0.092399 | 0.10039 | 0.072504 | 0.05317 | 0.65105 | 0.601413 | 0.586168 | 0.549173 | 0.535787 | 0.531883 | 0 | 0.007533 | 0.198816 | 8,616 | 231 | 174 | 37.298701 | 0.771693 | 0.086583 | 0 | 0.485714 | 0 | 0 | 0.023049 | 0 | 0 | 0 | 0 | 0 | 0.011429 | 1 | 0.045714 | false | 0 | 0.068571 | 0 | 0.154286 | 0.045714 | 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 |
2e2279b1f99ff28aa158f6954e55b80b12e12f93 | 1,984 | py | Python | util/gps_handler/gps_fence_handler.py | linusluotsinen/RPiAntiTheft | d76782b5064f7e540a4013fbf0e0ea26d989e2ce | [
"MIT"
] | null | null | null | util/gps_handler/gps_fence_handler.py | linusluotsinen/RPiAntiTheft | d76782b5064f7e540a4013fbf0e0ea26d989e2ce | [
"MIT"
] | null | null | null | util/gps_handler/gps_fence_handler.py | linusluotsinen/RPiAntiTheft | d76782b5064f7e540a4013fbf0e0ea26d989e2ce | [
"MIT"
] | null | null | null | #from gps_handler import GpsHandler
import math
class GpsFenceHandler:
def __init__(self, settings):
self.settings = settings
self.settings.load()
if self.settings.get_data() is None:
#gpsh = GpsHandler()
#gps_data = gpsh.get_gps_data()
default_settings =... | 31.492063 | 113 | 0.5625 | 238 | 1,984 | 4.579832 | 0.264706 | 0.165138 | 0.082569 | 0.104587 | 0.180734 | 0.133945 | 0.133945 | 0.133945 | 0 | 0 | 0 | 0.021444 | 0.294859 | 1,984 | 62 | 114 | 32 | 0.757684 | 0.12752 | 0 | 0.125 | 0 | 0 | 0.072632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.025 | 0.025 | 0.275 | 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 |
2e2601a57578f079de2951387b1289c07c01b38b | 10,894 | py | Python | build/lib.linux-x86_64-2.7/ryu/tests/unit/packet/test_packet.py | sharat910/my-ryu | d2994571e3e5fad58433044a3ca8a5b40a413c87 | [
"Apache-2.0"
] | 2 | 2019-05-06T01:11:37.000Z | 2020-10-09T08:24:15.000Z | ryu/tests/unit/packet/test_packet.py | rpt/ryu | ebf7638aac4481762e10ec90958f1480761a3893 | [
"Apache-2.0"
] | null | null | null | ryu/tests/unit/packet/test_packet.py | rpt/ryu | ebf7638aac4481762e10ec90958f1480761a3893 | [
"Apache-2.0"
] | 1 | 2018-07-12T20:08:53.000Z | 2018-07-12T20:08:53.000Z | # Copyright (C) 2012 Nippon Telegraph and Telephone Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 29.284946 | 73 | 0.523224 | 1,516 | 10,894 | 3.504617 | 0.166227 | 0.042161 | 0.033879 | 0.031621 | 0.663655 | 0.636364 | 0.602296 | 0.588368 | 0.580839 | 0.580839 | 0 | 0.065367 | 0.345603 | 10,894 | 371 | 74 | 29.363881 | 0.679899 | 0.090141 | 0 | 0.594891 | 0 | 0 | 0.068668 | 0.012983 | 0 | 0 | 0.007303 | 0 | 0 | 1 | 0.025547 | false | 0.007299 | 0.036496 | 0 | 0.094891 | 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 |
2e266d63f6512f29cea6db3e7a1e786d0b045c0b | 8,739 | py | Python | models/torch_conv_train.py | Devjiu/Quntization | 60853485525a5382cde7824b0b09e55e2e264e2f | [
"MIT"
] | null | null | null | models/torch_conv_train.py | Devjiu/Quntization | 60853485525a5382cde7824b0b09e55e2e264e2f | [
"MIT"
] | null | null | null | models/torch_conv_train.py | Devjiu/Quntization | 60853485525a5382cde7824b0b09e55e2e264e2f | [
"MIT"
] | null | null | null | import itertools
import torch
import torchvision
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
device = torch.device("cpu")
transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
trainset = torchvision.datasets.CIFAR10(root='./dat... | 35.962963 | 115 | 0.620323 | 1,173 | 8,739 | 4.491901 | 0.248082 | 0.005694 | 0.005694 | 0.003796 | 0.211425 | 0.16246 | 0.105143 | 0.077434 | 0.077434 | 0.051243 | 0 | 0.028911 | 0.240073 | 8,739 | 242 | 116 | 36.11157 | 0.764493 | 0.392951 | 0 | 0.12963 | 0 | 0 | 0.036275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064815 | false | 0 | 0.083333 | 0 | 0.203704 | 0.055556 | 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 |
2e2680be29a37e0471952ff1c48d95daa56f74a6 | 4,738 | py | Python | src/dispatch/job/views.py | alibaba/easydispatch | 2cf32a374d12c804ff396f90b789c2a838003c5d | [
"Apache-2.0"
] | 11 | 2021-05-04T03:15:20.000Z | 2022-02-16T07:44:16.000Z | src/dispatch/job/views.py | alibaba/easydispatch | 2cf32a374d12c804ff396f90b789c2a838003c5d | [
"Apache-2.0"
] | 4 | 2021-06-21T11:12:37.000Z | 2021-06-29T11:54:18.000Z | src/dispatch/job/views.py | alibaba/easydispatch | 2cf32a374d12c804ff396f90b789c2a838003c5d | [
"Apache-2.0"
] | 2 | 2021-05-05T00:42:44.000Z | 2021-05-10T12:51:58.000Z | from typing import List
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from dispatch.enums import Visibility
from dispatch.auth.models import DispatchUser
from dispatch.auth.service import get_current_user
from dispatch.database import get_db, search_f... | 30.567742 | 93 | 0.691009 | 651 | 4,738 | 4.809524 | 0.218126 | 0.077611 | 0.035133 | 0.05749 | 0.452571 | 0.381667 | 0.330565 | 0.320664 | 0.281699 | 0.281699 | 0 | 0.004443 | 0.192486 | 4,738 | 154 | 94 | 30.766234 | 0.813905 | 0.102575 | 0 | 0.40404 | 0 | 0 | 0.11154 | 0.012313 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070707 | false | 0 | 0.10101 | 0 | 0.222222 | 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 |
2e286f4bba6bc269eb129fff803ce6e3c742ed75 | 11,451 | py | Python | dashboard/dashboard.py | leap-solutions-asia/auto-scaling | be6a3e743be5ee57d5c6a5a35578a44f07751fe5 | [
"MIT"
] | null | null | null | dashboard/dashboard.py | leap-solutions-asia/auto-scaling | be6a3e743be5ee57d5c6a5a35578a44f07751fe5 | [
"MIT"
] | 23 | 2019-03-07T08:05:36.000Z | 2019-10-11T10:37:35.000Z | dashboard/dashboard.py | leap-solutions-asia/auto-scaling | be6a3e743be5ee57d5c6a5a35578a44f07751fe5 | [
"MIT"
] | 3 | 2019-08-09T05:46:35.000Z | 2020-01-23T10:12:29.000Z | import os
import re
import pickle
from flask import Flask, render_template, url_for, flash, redirect, session
from forms import SettingsForm, CredentialForm, EditCredentialForm, EditSettingsForm
from CloudStackApiClient import CloudStackApiClient
from CloudStackConfig import CloudStackConfig, cloudstack_file
from tim... | 37.917219 | 120 | 0.656537 | 1,351 | 11,451 | 5.274611 | 0.131754 | 0.034381 | 0.019646 | 0.030873 | 0.458322 | 0.393068 | 0.311255 | 0.294274 | 0.234493 | 0.194639 | 0 | 0.004746 | 0.227229 | 11,451 | 301 | 121 | 38.043189 | 0.800542 | 0 | 0 | 0.331984 | 0 | 0 | 0.154222 | 0.028469 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020243 | false | 0 | 0.036437 | 0 | 0.121457 | 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 |
2e2918459530001385052c20f48317cb1c6bed76 | 6,679 | py | Python | modules/gitbox/files/asfgit/hooks/ghactions.py | isabella232/infrastructure-puppet | 5fcb3429d47688b605c6b9f33e453c639af0d20c | [
"Apache-2.0"
] | 121 | 2015-01-23T20:42:14.000Z | 2022-02-28T23:36:46.000Z | modules/gitbox/files/asfgit/hooks/ghactions.py | isabella232/infrastructure-puppet | 5fcb3429d47688b605c6b9f33e453c639af0d20c | [
"Apache-2.0"
] | 206 | 2015-01-01T00:34:12.000Z | 2022-01-20T20:15:59.000Z | modules/gitbox/files/asfgit/hooks/ghactions.py | isabella232/infrastructure-puppet | 5fcb3429d47688b605c6b9f33e453c639af0d20c | [
"Apache-2.0"
] | 167 | 2015-04-15T21:13:19.000Z | 2021-11-07T21:16:59.000Z | #!/usr/local/bin/python
import fnmatch
import io
import os
import re
import subprocess
import sys
import asfpy.messaging
import yaml
import yaml.constructor
# LDAP to CNAME mappings for some projects
WSMAP = {
"whimsy": "whimsical",
"empire": "empire-db",
"webservices": "ws",
"infrastructure": "infra... | 36.697802 | 121 | 0.590957 | 813 | 6,679 | 4.765068 | 0.348093 | 0.02065 | 0.021941 | 0.009293 | 0.077439 | 0.064017 | 0.050594 | 0.050594 | 0.050594 | 0.050594 | 0 | 0.003243 | 0.307531 | 6,679 | 181 | 122 | 36.900552 | 0.834378 | 0.214403 | 0 | 0.078125 | 0 | 0 | 0.177208 | 0.027189 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054688 | false | 0.007813 | 0.085938 | 0 | 0.179688 | 0.007813 | 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 |
2e2f92d8667d4eff648ffa790d95599d6434e9f2 | 1,606 | py | Python | user_auth/views.py | miswo/tweet-only-client | 649c0c621e84f726fc8c1fc51725c74b6f7dc8ad | [
"MIT"
] | null | null | null | user_auth/views.py | miswo/tweet-only-client | 649c0c621e84f726fc8c1fc51725c74b6f7dc8ad | [
"MIT"
] | 3 | 2020-02-11T23:17:55.000Z | 2021-06-10T20:54:07.000Z | user_auth/views.py | miswo/tweet-only-client | 649c0c621e84f726fc8c1fc51725c74b6f7dc8ad | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from social_django.models import UserSocialAuth
import tweepy, os
'''
from djangoworks.settings import isDebug
if isDebug() == True:
try:
from djangoworks.configs import twitter
SOCIAL_AUTH_TWITT... | 29.740741 | 98 | 0.651308 | 184 | 1,606 | 5.461957 | 0.358696 | 0.099502 | 0.169154 | 0.099502 | 0.319403 | 0.128358 | 0.128358 | 0.128358 | 0 | 0 | 0 | 0 | 0.254047 | 1,606 | 53 | 99 | 30.301887 | 0.838898 | 0 | 0 | 0 | 0 | 0 | 0.140565 | 0.037433 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.137931 | 0 | 0.275862 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2e307b91132870572d536e2f42552febf7371a45 | 646 | py | Python | configs/hyperparameters.py | hyungkwonko/PTI | 5c804a9fc75028cede80b187c0def28521f2a331 | [
"MIT"
] | 2 | 2021-08-01T08:05:15.000Z | 2021-08-01T08:11:07.000Z | configs/hyperparameters.py | hyungkwonko/PTI | 5c804a9fc75028cede80b187c0def28521f2a331 | [
"MIT"
] | null | null | null | configs/hyperparameters.py | hyungkwonko/PTI | 5c804a9fc75028cede80b187c0def28521f2a331 | [
"MIT"
] | 1 | 2021-08-19T10:42:56.000Z | 2021-08-19T10:42:56.000Z | ## Architechture
lpips_type = 'vgg'
first_inv_type = 'w'
optim_type = 'adam'
## Locality regularization
latent_ball_num_of_samples = 1
locality_regularization_interval = 1
use_locality_regularization = False
regulizer_l2_lambda = 0.1
regulizer_lpips_lambda = 0.1
regulizer_alpha = 30
## Loss
pt_l1_lambda = 1
pt_l2_lam... | 19.575758 | 36 | 0.78483 | 109 | 646 | 4.220183 | 0.541284 | 0.052174 | 0.058696 | 0.073913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078853 | 0.136223 | 646 | 32 | 37 | 20.1875 | 0.74552 | 0.094427 | 0 | 0 | 0 | 0 | 0.013937 | 0 | 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 |
2e346baa1e8905675293c0be9900be1c2daedaec | 458 | py | Python | codigo_Arduino/DesdeConsola.py | Mik3Mon/AnalisisAlgoritmos | 95b739b22ab2fa240df0373ef89423286399a65e | [
"MIT"
] | null | null | null | codigo_Arduino/DesdeConsola.py | Mik3Mon/AnalisisAlgoritmos | 95b739b22ab2fa240df0373ef89423286399a65e | [
"MIT"
] | null | null | null | codigo_Arduino/DesdeConsola.py | Mik3Mon/AnalisisAlgoritmos | 95b739b22ab2fa240df0373ef89423286399a65e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 9 22:11:56 2021
@author: Mike
"""
import serial
import time
arduino = serial.Serial("COM2", 9600)
time.sleep(2)
print("Presione 1 para mandar y 2 para apagar: ")
while 1:
datousuario = input()
if datousuario == "1":
arduino.write(b'34.23;34.23;45.22')... | 18.32 | 49 | 0.561135 | 61 | 458 | 4.213115 | 0.672131 | 0.031128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107362 | 0.28821 | 458 | 25 | 50 | 18.32 | 0.680982 | 0.159389 | 0 | 0 | 0 | 0 | 0.198413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.214286 | 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 |
2e365b42aa11cbe15a9c00e9f63e614ec75483ec | 11,547 | py | Python | src/simulations/tests/simulator_test.py | PrivacyAmp/cardinality_estimation_evaluation_framework | c6f16733f821bba99c1e5ca827025a063f5689ae | [
"Apache-2.0"
] | 20 | 2020-03-30T22:39:32.000Z | 2022-03-09T06:32:14.000Z | src/simulations/tests/simulator_test.py | OpenMeasurement/cardinality_estimation_evaluation_framework | c6f16733f821bba99c1e5ca827025a063f5689ae | [
"Apache-2.0"
] | 41 | 2020-05-01T01:09:38.000Z | 2021-10-15T17:53:31.000Z | src/simulations/tests/simulator_test.py | OpenMeasurement/cardinality_estimation_evaluation_framework | c6f16733f821bba99c1e5ca827025a063f5689ae | [
"Apache-2.0"
] | 8 | 2020-06-18T22:33:14.000Z | 2021-05-03T13:39:12.000Z | # Copyright 2020 The Private Cardinality Estimation Framework Authors
#
# 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 b... | 38.49 | 104 | 0.71603 | 1,421 | 11,547 | 5.475018 | 0.143561 | 0.006684 | 0.064781 | 0.031105 | 0.672622 | 0.608612 | 0.562468 | 0.536375 | 0.47635 | 0.437404 | 0 | 0.022251 | 0.190439 | 11,547 | 299 | 105 | 38.618729 | 0.810013 | 0.068849 | 0 | 0.450644 | 0 | 0 | 0.027035 | 0.006898 | 0 | 0 | 0 | 0 | 0.137339 | 1 | 0.098712 | false | 0 | 0.055794 | 0.012876 | 0.2103 | 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 |
2e3dddefc0fc41021833c4964e4d102684d48114 | 616 | py | Python | utils/bufsize.py | devmil/pty | d8365a8ca021e8da1611512662cee94cc41688a6 | [
"MIT"
] | 22 | 2020-08-04T13:52:16.000Z | 2022-03-16T09:48:26.000Z | utils/bufsize.py | devmil/pty | d8365a8ca021e8da1611512662cee94cc41688a6 | [
"MIT"
] | 5 | 2020-10-16T12:24:06.000Z | 2021-07-21T02:19:34.000Z | utils/bufsize.py | devmil/pty | d8365a8ca021e8da1611512662cee94cc41688a6 | [
"MIT"
] | 6 | 2020-10-03T03:00:47.000Z | 2021-12-30T10:33:51.000Z | #!/usr/bin/env python3
# Pty buffer size detect script
# From: https://superuser.com/a/1452858
# Results:
# MacOS 11.2.3: pts write blocked after 1023 bytes (0 KiB)
import os
from pty import openpty
from fcntl import fcntl, F_GETFL, F_SETFL
from itertools import count
def set_nonblock(fd):
flags = fcntl(fd, F_G... | 20.533333 | 69 | 0.670455 | 96 | 616 | 4.229167 | 0.59375 | 0.039409 | 0.073892 | 0.098522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045267 | 0.211039 | 616 | 30 | 69 | 20.533333 | 0.790123 | 0.251623 | 0 | 0 | 0 | 0 | 0.091904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.235294 | 0 | 0.294118 | 0.058824 | 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 |
2e3f9e5cf08830d85f22ac94a405bd4dc059c2da | 1,007 | py | Python | LTC1380.py | karu2003/Bandpass_tester | 645fc2478ece07ba4303079da020a4f15f946897 | [
"MIT"
] | null | null | null | LTC1380.py | karu2003/Bandpass_tester | 645fc2478ece07ba4303079da020a4f15f946897 | [
"MIT"
] | null | null | null | LTC1380.py | karu2003/Bandpass_tester | 645fc2478ece07ba4303079da020a4f15f946897 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""python module for the LTC1380
created 17, 06, 2021
last modified 17, 06, 2021
Copyright 2021 Andrew Buckin
"""
import smbus
import time
Enable = 8
class LTC1380:
def __init__(self, i2cAddress=0x48):
self.i2cAddress = i2cAddress
self.bus = smbus.SMBus(1)
try:
... | 20.14 | 64 | 0.600794 | 126 | 1,007 | 4.68254 | 0.484127 | 0.142373 | 0.061017 | 0.081356 | 0.186441 | 0.186441 | 0.186441 | 0 | 0 | 0 | 0 | 0.080508 | 0.296922 | 1,007 | 49 | 65 | 20.55102 | 0.752825 | 0.142999 | 0 | 0.133333 | 0 | 0 | 0.038687 | 0 | 0 | 0 | 0.014068 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.366667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2e43b13aff85b6f549a34372cb839f1045f1224d | 9,618 | py | Python | common/model.py | abhay97ps/visual-control-ppo-procgen | 765fe1ddb289d384abddc4df8eb865379c8da76a | [
"MIT"
] | null | null | null | common/model.py | abhay97ps/visual-control-ppo-procgen | 765fe1ddb289d384abddc4df8eb865379c8da76a | [
"MIT"
] | null | null | null | common/model.py | abhay97ps/visual-control-ppo-procgen | 765fe1ddb289d384abddc4df8eb865379c8da76a | [
"MIT"
] | null | null | null | from .misc_util import orthogonal_init, xavier_uniform_init
import torch.nn as nn
import torch
import torch.nn.functional as F
class Flatten(nn.Module):
def forward(self, x):
return x.reshape(x.size(0), -1)
class MlpModel(nn.Module):
def __init__(self,
input_dims=4,
... | 36.850575 | 126 | 0.563215 | 1,345 | 9,618 | 3.864684 | 0.166543 | 0.048095 | 0.021162 | 0.025972 | 0.297999 | 0.233167 | 0.197191 | 0.145633 | 0.093113 | 0.057715 | 0 | 0.045523 | 0.312539 | 9,618 | 261 | 127 | 36.850575 | 0.740623 | 0.140466 | 0 | 0.201087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103261 | false | 0 | 0.021739 | 0.01087 | 0.233696 | 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 |
2e44aa4ea82d11042fce4becc4abc41c58a84079 | 1,350 | py | Python | src/sample_api.py | evanmahony/kaggleTemplate | 19a44e4511ca137382a810d3e230a13ee7413959 | [
"MIT"
] | null | null | null | src/sample_api.py | evanmahony/kaggleTemplate | 19a44e4511ca137382a810d3e230a13ee7413959 | [
"MIT"
] | null | null | null | src/sample_api.py | evanmahony/kaggleTemplate | 19a44e4511ca137382a810d3e230a13ee7413959 | [
"MIT"
] | null | null | null | import logging
import os
from flask import Flask, request
import pandas as pd
import torch
from torch_template import Model
PATH = "/home/jovyan"
LOAD_PATH = os.path.join(PATH, "runs/03-56 17_02_22/model.pth")
OUTPUT_PATH = os.path.join(PATH, "runs/api")
# Configuring logging
logging.basicConfig(
filename=os.pa... | 24.107143 | 63 | 0.660741 | 207 | 1,350 | 4.169082 | 0.386473 | 0.114716 | 0.11124 | 0.059096 | 0.14832 | 0.104287 | 0 | 0 | 0 | 0 | 0 | 0.016755 | 0.16 | 1,350 | 55 | 64 | 24.545455 | 0.744268 | 0.014074 | 0 | 0.04878 | 0 | 0 | 0.231001 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.146341 | 0 | 0.243902 | 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 |
2e46f63258059c8f4e70f3a51307f604048da8b0 | 4,768 | py | Python | script/fsrcnn/train.py | victorelcaminas/SuperResolutionKit | aef8a9a8a36f8833244e8c6907616b1a6aee962b | [
"MIT"
] | 86 | 2018-08-31T08:43:42.000Z | 2022-02-07T12:39:41.000Z | script/fsrcnn/train.py | victorelcaminas/SuperResolutionKit | aef8a9a8a36f8833244e8c6907616b1a6aee962b | [
"MIT"
] | 3 | 2018-09-05T12:52:49.000Z | 2020-02-28T12:11:36.000Z | script/fsrcnn/train.py | victorelcaminas/SuperResolutionKit | aef8a9a8a36f8833244e8c6907616b1a6aee962b | [
"MIT"
] | 5 | 2018-09-11T23:06:28.000Z | 2022-01-23T19:50:14.000Z | from keras.models import Sequential
from keras.layers import Conv2D, Conv2DTranspose, Input, BatchNormalization, PReLU
from keras.callbacks import ModelCheckpoint, Callback, TensorBoard
from keras.optimizers import SGD, Adam
import numpy as np
import math
import os
import random
from os import listdir, makedirs
from os... | 38.144 | 162 | 0.648909 | 674 | 4,768 | 4.378338 | 0.284866 | 0.022365 | 0.046086 | 0.03897 | 0.257201 | 0.213826 | 0.213826 | 0.196205 | 0.125042 | 0.099288 | 0 | 0.025201 | 0.217701 | 4,768 | 124 | 163 | 38.451613 | 0.765952 | 0.018037 | 0 | 0.113208 | 0 | 0 | 0.069216 | 0.008118 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0.009434 | 0.132075 | 0 | 0.235849 | 0.04717 | 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 |
2e46fbeaf8ee970ea30ad406caaf1c983e261497 | 5,023 | py | Python | module/error.py | Saroniii/yonosumi_official_bot | ef09ff8e9c089c0df8d191fe5db665f0f7322fd3 | [
"MIT"
] | 5 | 2020-09-23T01:06:00.000Z | 2020-11-24T04:39:58.000Z | module/error.py | Saroniii/yonosumi_official_bot | ef09ff8e9c089c0df8d191fe5db665f0f7322fd3 | [
"MIT"
] | 13 | 2020-10-10T16:00:16.000Z | 2020-11-26T02:02:57.000Z | module/error.py | YonosumiProject/yonosumi_official_bot | f8e3d2c0f7c0320cdb9247917d6d21f208ec7a77 | [
"MIT"
] | 2 | 2021-04-19T21:46:00.000Z | 2021-08-16T07:23:11.000Z | import re
import traceback
import discord
from discord.ext import commands
class ErrorHandler(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_command_error(self, ctx, error):
if isinstance(error, (commands.CommandNotFound, commands.CommandOnCo... | 41.858333 | 212 | 0.505873 | 488 | 5,023 | 5.114754 | 0.403689 | 0.024038 | 0.028045 | 0.047676 | 0.256811 | 0.221154 | 0.210737 | 0.210737 | 0.154647 | 0.154647 | 0 | 0.017288 | 0.343619 | 5,023 | 119 | 213 | 42.210084 | 0.739157 | 0 | 0 | 0.212389 | 0 | 0 | 0.212622 | 0.088194 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017699 | false | 0.035398 | 0.035398 | 0 | 0.097345 | 0.00885 | 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 |
2e475fe77b8d59f438381a1b9f65606ccdf0eeb0 | 10,481 | py | Python | rabbitpy/channel0.py | AndTornes/rabbitpy | 0b805f308c868ae69825cb6366e2b0a1e74c1f2b | [
"BSD-3-Clause"
] | 149 | 2015-01-08T21:55:20.000Z | 2022-02-28T10:43:53.000Z | rabbitpy/channel0.py | AndTornes/rabbitpy | 0b805f308c868ae69825cb6366e2b0a1e74c1f2b | [
"BSD-3-Clause"
] | 71 | 2015-01-04T22:28:56.000Z | 2022-02-06T09:23:30.000Z | rabbitpy/channel0.py | AndTornes/rabbitpy | 0b805f308c868ae69825cb6366e2b0a1e74c1f2b | [
"BSD-3-Clause"
] | 56 | 2015-01-07T11:06:05.000Z | 2022-03-18T08:45:40.000Z | """
Channel0 is used for connection level communication between RabbitMQ and the
client on channel 0.
"""
import locale
import logging
import sys
from pamqp import header
from pamqp import heartbeat
from pamqp import specification
from rabbitpy import __version__
from rabbitpy import base
from rabbitpy import events... | 36.141379 | 78 | 0.626085 | 1,136 | 10,481 | 5.550176 | 0.185739 | 0.026963 | 0.026646 | 0.021887 | 0.2 | 0.113402 | 0.086122 | 0.057098 | 0.033307 | 0.020301 | 0 | 0.003225 | 0.289858 | 10,481 | 289 | 79 | 36.266436 | 0.84388 | 0.22889 | 0 | 0.080247 | 0 | 0 | 0.100773 | 0.006552 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117284 | false | 0.012346 | 0.067901 | 0 | 0.283951 | 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 |
2e4773ee4daaadfedc508c278457290fb9e78e54 | 1,617 | py | Python | format.py | saultyevil/PyPython | 109f650505388ecf0611c6e2661d1365bca4cd70 | [
"MIT"
] | null | null | null | format.py | saultyevil/PyPython | 109f650505388ecf0611c6e2661d1365bca4cd70 | [
"MIT"
] | null | null | null | format.py | saultyevil/PyPython | 109f650505388ecf0611c6e2661d1365bca4cd70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from sys import argv
from subprocess import run
from pathlib import Path
def format_source(fp):
"""Run isort and then yapf to format the python files contained in
fp. Sends the output to /dev/null.
Parameters
----------
fp: str
The file path to search recursively fo... | 27.40678 | 116 | 0.634508 | 220 | 1,617 | 4.595455 | 0.354545 | 0.04451 | 0.04451 | 0.053412 | 0.327399 | 0.327399 | 0.281899 | 0.254204 | 0.254204 | 0.254204 | 0 | 0.004743 | 0.217687 | 1,617 | 58 | 117 | 27.87931 | 0.794466 | 0.320965 | 0 | 0.230769 | 0 | 0.038462 | 0.355094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.115385 | 0 | 0.230769 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2e47d4e19559b640b7393534b7b6cf07e2a119e3 | 1,091 | py | Python | utils.py | Mahoo12138/auto-submit-dlu | a955afba7f453c03d0bccb8ae02258ff43ef6663 | [
"Apache-2.0"
] | 5 | 2021-09-07T02:47:33.000Z | 2021-12-05T13:22:00.000Z | utils.py | Mahoo12138/auto-submit-dlu | a955afba7f453c03d0bccb8ae02258ff43ef6663 | [
"Apache-2.0"
] | null | null | null | utils.py | Mahoo12138/auto-submit-dlu | a955afba7f453c03d0bccb8ae02258ff43ef6663 | [
"Apache-2.0"
] | 1 | 2021-09-09T08:39:51.000Z | 2021-09-09T08:39:51.000Z | import json
from base64 import b64encode
from Crypto.Cipher import AES, DES
from Crypto.Util.Padding import pad
from Crypto.Hash import MD5
from urllib.parse import quote
### 用于加密生成 Cpdaily-Extension,传入表单以及个人配置数据
def extensionEncrypt(data):
key = b"b3L26XNL"
iv = bytes([1, 2, 3, 4, 5, 6, 7, 8])
data = byt... | 29.486486 | 70 | 0.672777 | 165 | 1,091 | 4.4 | 0.363636 | 0.027548 | 0.012397 | 0.016529 | 0.436639 | 0.436639 | 0.436639 | 0.426997 | 0.333333 | 0.223141 | 0 | 0.053872 | 0.183318 | 1,091 | 36 | 71 | 30.305556 | 0.760943 | 0.033914 | 0 | 0.214286 | 0 | 0 | 0.06387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.214286 | 0 | 0.428571 | 0.035714 | 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 |
2e48c7fdd82f103792c63baa829d0d629b6b36dd | 85,623 | py | Python | RVS/X86.py | infosecsecurity/OSPTF | df3f63dc882db6d7e0b7bd80476e9bbc8471ac1f | [
"MIT"
] | 2 | 2017-11-23T01:07:37.000Z | 2021-06-25T05:03:49.000Z | RVS/X86.py | infosecsecurity/OSPTF | df3f63dc882db6d7e0b7bd80476e9bbc8471ac1f | [
"MIT"
] | null | null | null | RVS/X86.py | infosecsecurity/OSPTF | df3f63dc882db6d7e0b7bd80476e9bbc8471ac1f | [
"MIT"
] | 1 | 2018-05-22T02:28:43.000Z | 2018-05-22T02:28:43.000Z | # X86 disassembler for Python
# Copyright (c) 2011-2012 Rusty Wagner
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, ... | 41.604956 | 195 | 0.652687 | 13,344 | 85,623 | 3.877023 | 0.09982 | 0.034561 | 0.02969 | 0.025515 | 0.587436 | 0.533662 | 0.48126 | 0.42105 | 0.382855 | 0.345859 | 0 | 0.066937 | 0.144879 | 85,623 | 2,057 | 196 | 41.625182 | 0.639651 | 0.037023 | 0 | 0.412473 | 0 | 0 | 0.209012 | 0.002483 | 0 | 0 | 0.007535 | 0 | 0 | 1 | 0.067287 | false | 0.000547 | 0 | 0 | 0.114333 | 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 |
2e4be7a86b7c2c6de6676d47c165fb2dc92bdf33 | 9,123 | py | Python | train.py | LeiShenVictoria/Static-Dynamic-Attention-CNNRNN | e2823717d22c9e543428d471ff19113bbb59ebfe | [
"MIT"
] | null | null | null | train.py | LeiShenVictoria/Static-Dynamic-Attention-CNNRNN | e2823717d22c9e543428d471ff19113bbb59ebfe | [
"MIT"
] | null | null | null | train.py | LeiShenVictoria/Static-Dynamic-Attention-CNNRNN | e2823717d22c9e543428d471ff19113bbb59ebfe | [
"MIT"
] | null | null | null | import sys
import os
import random
import re
import time
import torch
from torch.autograd import Variable
from torch import optim
import torch.nn as nn
#from static_model import StaticModel
from CNNencoder import StaticModel
#from dyna_model import DynamicModel
from dynaMerge import DynamicModel
from data_utils import... | 44.720588 | 195 | 0.676532 | 1,159 | 9,123 | 5.044003 | 0.160483 | 0.050291 | 0.079028 | 0.016421 | 0.413958 | 0.393774 | 0.371707 | 0.351865 | 0.314232 | 0.229046 | 0 | 0.0107 | 0.190727 | 9,123 | 203 | 196 | 44.940887 | 0.781119 | 0.136578 | 0 | 0.134615 | 0 | 0 | 0.136856 | 0.03781 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.089744 | 0 | 0.128205 | 0.294872 | 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 |
2e4c314862be76fd6a5e4ccb10c67ae77671cff4 | 1,770 | py | Python | evaluation/experiment/sentence_classification/training.py | UKPLab/arxiv2018-xling-sentence-embeddings | 95305c1a3d6d3e8c5f5365db463ba11cc9bd33b1 | [
"Apache-2.0"
] | 196 | 2018-02-21T09:26:49.000Z | 2021-10-05T12:20:11.000Z | evaluation/experiment/sentence_classification/training.py | UKPLab/arxiv2018-xling-sentence-embeddings | 95305c1a3d6d3e8c5f5365db463ba11cc9bd33b1 | [
"Apache-2.0"
] | 3 | 2018-06-28T15:17:31.000Z | 2019-07-22T17:09:45.000Z | evaluation/experiment/sentence_classification/training.py | UKPLab/arxiv2018-xling-sentence-embeddings | 95305c1a3d6d3e8c5f5365db463ba11cc9bd33b1 | [
"Apache-2.0"
] | 24 | 2018-03-05T19:01:32.000Z | 2022-02-25T03:01:51.000Z | import math
import numpy as np
from experiment.utils.training import BatchedTraining
class SentenceClassificationBatchedTraining(BatchedTraining):
def __init__(self, config, config_global, logger):
super(SentenceClassificationBatchedTraining, self).__init__(config, config_global, logger)
self.n_... | 32.777778 | 112 | 0.672316 | 222 | 1,770 | 5.112613 | 0.328829 | 0.035242 | 0.044053 | 0.060793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002981 | 0.241808 | 1,770 | 53 | 113 | 33.396226 | 0.842772 | 0.081921 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.088235 | 0.029412 | 0.352941 | 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 |
2e4c5aa2e4e0404fffa88a1c14672d6de337f9d8 | 5,096 | py | Python | spec/explainers/random_attention.py | deep-spin/spec-blackboxnlp | 23db7a559e09ff7f63ede06b04cad226432b90db | [
"MIT"
] | 2 | 2020-11-26T07:46:48.000Z | 2021-07-28T08:06:58.000Z | spec/explainers/random_attention.py | deep-spin/spec-blackboxnlp | 23db7a559e09ff7f63ede06b04cad226432b90db | [
"MIT"
] | null | null | null | spec/explainers/random_attention.py | deep-spin/spec-blackboxnlp | 23db7a559e09ff7f63ede06b04cad226432b90db | [
"MIT"
] | null | null | null | import torch
from spec import constants
from spec.explainers.explainer import Explainer
from spec.explainers.utils import filter_word_ids_with_non_zero_probability
class RandomAttentionExplainer(Explainer):
def __init__(self, fields_tuples, options):
super().__init__(fields_tuples)
self.words_vo... | 43.186441 | 80 | 0.61617 | 664 | 5,096 | 4.486446 | 0.22741 | 0.155086 | 0.040282 | 0.05908 | 0.410876 | 0.338033 | 0.315206 | 0.291709 | 0.206781 | 0.181269 | 0 | 0.012386 | 0.287088 | 5,096 | 117 | 81 | 43.555556 | 0.807597 | 0.101452 | 0 | 0.287356 | 0 | 0 | 0.013363 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.045977 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2e4e5a5c9c0e1e8ff2e56cee306ac39096e94fd8 | 6,529 | py | Python | shotmanager/vectorPathHandler.py | meee1/OpenSolo | 6f299639adbad1e8d573c8ae1135832711b600e4 | [
"Apache-2.0"
] | 68 | 2019-09-23T03:27:05.000Z | 2022-03-12T03:00:41.000Z | shotmanager/vectorPathHandler.py | meee1/OpenSolo | 6f299639adbad1e8d573c8ae1135832711b600e4 | [
"Apache-2.0"
] | 22 | 2019-10-26T20:15:56.000Z | 2022-02-12T05:41:56.000Z | shotmanager/vectorPathHandler.py | meee1/OpenSolo | 6f299639adbad1e8d573c8ae1135832711b600e4 | [
"Apache-2.0"
] | 33 | 2019-09-29T19:52:19.000Z | 2022-03-12T03:00:43.000Z | #
# Code common across shots to handle movement on paths
#
from pymavlink import mavutil
import location_helpers
import shotLogger
from pathHandler import PathHandler
from shotManagerConstants import *
import math
from vector3 import Vector3
logger = shotLogger.logger
#Path accel/decel constants
WPNAV_ACCEL = 200
WP... | 35.483696 | 137 | 0.627202 | 763 | 6,529 | 5.281782 | 0.315858 | 0.051613 | 0.034739 | 0.021588 | 0.103226 | 0.094789 | 0.064516 | 0.064516 | 0.036228 | 0.036228 | 0 | 0.021763 | 0.296217 | 6,529 | 183 | 138 | 35.677596 | 0.855277 | 0.266656 | 0 | 0.041237 | 0 | 0 | 0.005084 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041237 | false | 0 | 0.072165 | 0 | 0.14433 | 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 |
2e51536d35690c069b3289446524366923e72f15 | 8,183 | py | Python | IntensivregisterUpdate.py | fe-lix-werner/covid19de_monitor | 3867676756a36f06c10b348e53afba125d244525 | [
"MIT"
] | 2 | 2021-05-06T21:00:09.000Z | 2021-06-26T11:51:19.000Z | IntensivregisterUpdate.py | fe-lix-werner/covid19de_monitor | 3867676756a36f06c10b348e53afba125d244525 | [
"MIT"
] | 3 | 2020-10-29T06:20:06.000Z | 2021-01-16T16:17:08.000Z | IntensivregisterUpdate.py | fe-lix-werner/covid19de_monitor | 3867676756a36f06c10b348e53afba125d244525 | [
"MIT"
] | 3 | 2020-10-28T16:45:23.000Z | 2020-12-09T13:35:09.000Z | #!/usr/bin/env python3
import requests
import json
import argparse
import datetime
import io
import threading
BL_API = 'https://www.intensivregister.de/api/public/reporting/laendertabelle'
LK_API = 'https://diviexchange.blob.core.windows.net/%24web/DIVI_Intensivregister_Auszug_pro_Landkreis.csv'
BL_DICT = {'BW': 'BAD... | 39.723301 | 342 | 0.630331 | 1,104 | 8,183 | 4.442029 | 0.236413 | 0.022023 | 0.034666 | 0.021207 | 0.367251 | 0.347268 | 0.285073 | 0.235318 | 0.208605 | 0.208605 | 0 | 0.006249 | 0.237321 | 8,183 | 205 | 343 | 39.917073 | 0.779523 | 0.017231 | 0 | 0.14881 | 0 | 0.017857 | 0.216721 | 0.01891 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113095 | false | 0 | 0.035714 | 0.017857 | 0.261905 | 0.059524 | 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 |
2e527faed8095c3ea58150eacca0a778dfb4545f | 2,693 | py | Python | pyscrubber.py | sanketsaurav/nlm-scrubber-docker | dbd2529b8b2e453f0800e1b2a4126df026e45190 | [
"MIT"
] | 8 | 2019-04-11T17:37:38.000Z | 2021-07-26T17:03:30.000Z | pyscrubber.py | sanketsaurav/nlm-scrubber-docker | dbd2529b8b2e453f0800e1b2a4126df026e45190 | [
"MIT"
] | null | null | null | pyscrubber.py | sanketsaurav/nlm-scrubber-docker | dbd2529b8b2e453f0800e1b2a4126df026e45190 | [
"MIT"
] | 2 | 2020-01-29T00:37:25.000Z | 2020-09-26T06:27:04.000Z | #!/usr/bin/env python
import uuid
import os
import subprocess
import shutil
DOC_DELIMITER = '\n##### DOCUMENT #############################################################'
class Scrubber():
'''This class is a wrapper around the `nlm_scrubber` library.'''
def __init__(self, working_directory='/tmp/nlm_scrub... | 33.246914 | 167 | 0.57928 | 332 | 2,693 | 4.506024 | 0.304217 | 0.074866 | 0.026738 | 0.034759 | 0.183824 | 0.14639 | 0.083556 | 0 | 0 | 0 | 0 | 0.005615 | 0.272558 | 2,693 | 80 | 168 | 33.6625 | 0.75804 | 0.0557 | 0 | 0.038462 | 0 | 0.019231 | 0.210817 | 0.070272 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.211538 | 0.019231 | 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 |
2e528039973bc6fa5f650d3dd268fb60bdd771de | 2,569 | py | Python | src/galaxy_crawler/models/helper.py | pddg/galaxy_crawler | cc0634dfca7d81ee49e5370ff0bf83cca92ec4ac | [
"Apache-2.0"
] | 2 | 2019-12-24T10:45:37.000Z | 2022-03-04T00:47:14.000Z | src/galaxy_crawler/models/helper.py | pddg/galaxy_crawler | cc0634dfca7d81ee49e5370ff0bf83cca92ec4ac | [
"Apache-2.0"
] | 2 | 2019-10-31T17:42:36.000Z | 2020-03-24T18:20:41.000Z | src/galaxy_crawler/models/helper.py | pddg/galaxy_crawler | cc0634dfca7d81ee49e5370ff0bf83cca92ec4ac | [
"Apache-2.0"
] | null | null | null | from typing import TYPE_CHECKING
import pandas as pd
from galaxy_crawler.models import utils
from galaxy_crawler.models import v1 as models
if TYPE_CHECKING:
from datetime import datetime
from typing import List, Optional
from sqlalchemy.engine import Engine
def get_roles_df(engine: 'Engine', except_ro... | 40.777778 | 116 | 0.679253 | 342 | 2,569 | 4.912281 | 0.339181 | 0.033333 | 0.035714 | 0.027381 | 0.191667 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0.00503 | 0.226158 | 2,569 | 62 | 117 | 41.435484 | 0.84004 | 0.309848 | 0 | 0.066667 | 0 | 0 | 0.120381 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 1 | 0.1 | false | 0 | 0.233333 | 0 | 0.433333 | 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 |
2e52978a04dbb6b314c47e801d5498f9f38d6a4e | 2,065 | py | Python | frameworks/tc_scikit/features/dependency_distribution_spacy.py | Asteur/textclassification | 80222e99e1a195031cf8e98bc294a09e498c29a3 | [
"MIT"
] | 5 | 2018-08-12T19:30:30.000Z | 2022-03-04T15:27:31.000Z | frameworks/tc_scikit/features/dependency_distribution_spacy.py | Asteur/textclassification | 80222e99e1a195031cf8e98bc294a09e498c29a3 | [
"MIT"
] | null | null | null | frameworks/tc_scikit/features/dependency_distribution_spacy.py | Asteur/textclassification | 80222e99e1a195031cf8e98bc294a09e498c29a3 | [
"MIT"
] | 2 | 2018-07-13T02:06:48.000Z | 2020-12-10T13:35:17.000Z | import logging
from collections import OrderedDict
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import Normalizer
from frameworks.tc_scikit.models.tiger import TIGER_TAGSET_SPACY
def... | 32.777778 | 88 | 0.659564 | 223 | 2,065 | 5.914798 | 0.35426 | 0.060652 | 0.027293 | 0.036391 | 0.198635 | 0.198635 | 0.198635 | 0.106141 | 0 | 0 | 0 | 0.004534 | 0.2523 | 2,065 | 62 | 89 | 33.306452 | 0.849741 | 0 | 0 | 0.212766 | 0 | 0 | 0.061985 | 0.028087 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148936 | false | 0 | 0.170213 | 0.042553 | 0.468085 | 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 |
2e52f62008c27b479273629366f87f8875845031 | 4,728 | py | Python | structsolve/arc_length_riks.py | saullocastro/structsolve | 3c325068ca13e8632f506fb18c2ea5de495c581e | [
"BSD-2-Clause"
] | 1 | 2022-03-24T16:15:04.000Z | 2022-03-24T16:15:04.000Z | structsolve/arc_length_riks.py | saullocastro/structsolve | 3c325068ca13e8632f506fb18c2ea5de495c581e | [
"BSD-2-Clause"
] | null | null | null | structsolve/arc_length_riks.py | saullocastro/structsolve | 3c325068ca13e8632f506fb18c2ea5de495c581e | [
"BSD-2-Clause"
] | null | null | null | import numpy as np
from numpy import dot
from scipy.sparse import csr_matrix, vstack as spvstack, hstack as sphstack
from .static import solve
from .logger import msg, warn
def _solver_arc_length_riks(an, silent=False):
r"""Arc-Length solver using the Riks method
"""
msg('_______________________________... | 34.014388 | 116 | 0.544628 | 611 | 4,728 | 3.95581 | 0.219313 | 0.08192 | 0.034754 | 0.052131 | 0.233347 | 0.149359 | 0.116674 | 0.092677 | 0.061233 | 0.061233 | 0 | 0.023548 | 0.344332 | 4,728 | 138 | 117 | 34.26087 | 0.756129 | 0.026227 | 0 | 0.207207 | 0 | 0 | 0.121845 | 0.018712 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009009 | false | 0 | 0.045045 | 0 | 0.054054 | 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 |
2e53c6858211b2819fa897c860639a3bd48a5cee | 3,245 | py | Python | interactive_map_tester/interactive_map_tester/visualizeInteractiveMap.py | antonikaras/thesis_ros2 | 36673cd8a4161b1cf4045e8bdda36275a2a337ce | [
"BSD-2-Clause"
] | 1 | 2021-06-27T02:01:22.000Z | 2021-06-27T02:01:22.000Z | interactive_map_tester/interactive_map_tester/visualizeInteractiveMap.py | antonikaras/thesis_ros2 | 36673cd8a4161b1cf4045e8bdda36275a2a337ce | [
"BSD-2-Clause"
] | 1 | 2021-09-30T01:56:04.000Z | 2021-09-30T10:26:13.000Z | interactive_map_tester/interactive_map_tester/visualizeInteractiveMap.py | antonikaras/thesis_ros2 | 36673cd8a4161b1cf4045e8bdda36275a2a337ce | [
"BSD-2-Clause"
] | 1 | 2021-09-30T01:52:28.000Z | 2021-09-30T01:52:28.000Z | # Import ROS2 libraries
import rclpy
from rclpy.node import Node
from cv_bridge import CvBridge, CvBridgeError
from rclpy.qos import QoSProfile
from rclpy.callback_groups import ReentrantCallbackGroup
from rclpy.executors import MultiThreadedExecutor
# Import message files
from sensor_msgs.msg import Image
from autono... | 32.45 | 105 | 0.646533 | 385 | 3,245 | 5.293506 | 0.374026 | 0.061825 | 0.019136 | 0.028459 | 0.054956 | 0.054956 | 0 | 0 | 0 | 0 | 0 | 0.008045 | 0.233898 | 3,245 | 100 | 106 | 32.45 | 0.811746 | 0.21171 | 0 | 0 | 0 | 0 | 0.067053 | 0.034354 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0.018868 | 0.207547 | 0 | 0.283019 | 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 |
2e5512d26ff378d4e8524182eb1fa3deb226d67e | 1,027 | py | Python | b64.py | Orphan-Crippler/b64 | a93ab8bc96ae0b443911cb28a57ec94f4eab29bb | [
"BSD-3-Clause"
] | null | null | null | b64.py | Orphan-Crippler/b64 | a93ab8bc96ae0b443911cb28a57ec94f4eab29bb | [
"BSD-3-Clause"
] | null | null | null | b64.py | Orphan-Crippler/b64 | a93ab8bc96ae0b443911cb28a57ec94f4eab29bb | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Libraries
from base64 import b64encode, b64decode
# Messages
warn = '!!!!!!!!!!!!!!!!!!!!!!!! WARNING: '
valid = '\nPlease Enter a Valid Entry!\n'
# Menu/Encode/Decode Logic
def app(st):
if st == '1':
code = input('Enter Stuff to Encode: ').encode()
print('... | 23.883721 | 78 | 0.487829 | 125 | 1,027 | 4.008 | 0.432 | 0.047904 | 0.055888 | 0.075848 | 0.39521 | 0.239521 | 0.239521 | 0.239521 | 0.239521 | 0.239521 | 0 | 0.028401 | 0.348588 | 1,027 | 42 | 79 | 24.452381 | 0.720478 | 0.076923 | 0 | 0.4375 | 0 | 0.03125 | 0.211987 | 0.026637 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.03125 | 0 | 0.15625 | 0.21875 | 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 |
2e56257d1dcde4b6d5d35bb6f662c1c19842ef6e | 325 | py | Python | code/examples/04-adc/adc_pot_servo.py | yuanyanhui/intro-upy-esp32 | 5f066ca8b1804dc6032e8f0a5957acd6e36baffb | [
"MIT"
] | null | null | null | code/examples/04-adc/adc_pot_servo.py | yuanyanhui/intro-upy-esp32 | 5f066ca8b1804dc6032e8f0a5957acd6e36baffb | [
"MIT"
] | null | null | null | code/examples/04-adc/adc_pot_servo.py | yuanyanhui/intro-upy-esp32 | 5f066ca8b1804dc6032e8f0a5957acd6e36baffb | [
"MIT"
] | 1 | 2022-03-09T08:40:41.000Z | 2022-03-09T08:40:41.000Z | """
Control servo using potentiometer
"""
from machine import Pin, ADC, PWM
pot = ADC(Pin(32), atten = ADC.ATTN_11DB) # 电位器 - ADC
servo = PWM(Pin(33), freq = 50) # 舵机
while True:
adc_value = pot.read()
pulse_width_value = (125 - 25)/4095 * adc_value + 25
servo.duty(int(pulse_width_value))... | 23.214286 | 56 | 0.621538 | 48 | 325 | 4.0625 | 0.645833 | 0.082051 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.077551 | 0.246154 | 325 | 14 | 57 | 23.214286 | 0.718367 | 0.144615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 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 |
2e56e1fd3a0ac1e94ebfe17d566b249e1081cc8e | 3,720 | py | Python | project7/project7-lp-single.py | karulont/combopt | 98ad05f574d1ce355fc653df60bedde8a3bb838b | [
"MIT"
] | 1 | 2016-12-23T08:38:57.000Z | 2016-12-23T08:38:57.000Z | project7/project7-lp-single.py | karulont/combopt | 98ad05f574d1ce355fc653df60bedde8a3bb838b | [
"MIT"
] | null | null | null | project7/project7-lp-single.py | karulont/combopt | 98ad05f574d1ce355fc653df60bedde8a3bb838b | [
"MIT"
] | null | null | null | from gurobipy import *
from sys import argv
import json
import math
import drawful
def read_lst(fn):
with open(fn, 'r') as f:
(n, tp) = json.load(f)
return (n, tp)
def write_lst(fn, lst):
with open(fn, 'w') as f:
json.dump(lst, f)
def distance(v1, v2):
return mat... | 27.555556 | 89 | 0.508065 | 511 | 3,720 | 3.606654 | 0.25636 | 0.023874 | 0.021704 | 0.026044 | 0.109061 | 0.070537 | 0.049919 | 0.026044 | 0.026044 | 0.026044 | 0 | 0.057875 | 0.349731 | 3,720 | 134 | 90 | 27.761194 | 0.70401 | 0.117742 | 0 | 0 | 0 | 0 | 0.039381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084337 | false | 0 | 0.072289 | 0.024096 | 0.228916 | 0.072289 | 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 |
2e59427f48e64e36035d7a96d2e7bfa4cb4b20f1 | 4,515 | py | Python | src/main.py | darrenyaoyao/VR_motion_predict | 2039197d017a16460caefff57bfb117c0bd814bc | [
"MIT"
] | null | null | null | src/main.py | darrenyaoyao/VR_motion_predict | 2039197d017a16460caefff57bfb117c0bd814bc | [
"MIT"
] | null | null | null | src/main.py | darrenyaoyao/VR_motion_predict | 2039197d017a16460caefff57bfb117c0bd814bc | [
"MIT"
] | null | null | null | import select
import socket
import struct
import traceback
import logging
import time
import numpy as np
import queue
import random,threading,time
from translate import pose_predict
import csv
import time
def health_check(s):
readable,writeable,err = select.select([s],[s],[s],0)
if len(readable)<1 or len(write... | 31.137931 | 95 | 0.534219 | 530 | 4,515 | 4.307547 | 0.269811 | 0.055191 | 0.047306 | 0.032852 | 0.162067 | 0.096364 | 0.074463 | 0.04205 | 0.04205 | 0 | 0 | 0.024619 | 0.36124 | 4,515 | 145 | 96 | 31.137931 | 0.76699 | 0.033666 | 0 | 0.132743 | 0 | 0 | 0.038108 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061947 | false | 0.00885 | 0.106195 | 0 | 0.20354 | 0.079646 | 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 |
2e61401fb8829929663164716c5983c2dde332cf | 2,421 | py | Python | lib/models/model_factory.py | iShohei220/kaggle-pku-autonomous-driving | 647f1c48044f0c2cebcc5cb71854cb39ace0078c | [
"MIT"
] | 21 | 2020-01-22T05:18:52.000Z | 2021-09-28T15:55:10.000Z | lib/models/model_factory.py | iShohei220/kaggle-pku-autonomous-driving | 647f1c48044f0c2cebcc5cb71854cb39ace0078c | [
"MIT"
] | null | null | null | lib/models/model_factory.py | iShohei220/kaggle-pku-autonomous-driving | 647f1c48044f0c2cebcc5cb71854cb39ace0078c | [
"MIT"
] | 10 | 2020-01-30T14:25:50.000Z | 2020-08-25T02:03:50.000Z | import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
import pretrainedmodels
from . import resnet_fpn
from . import dla
def get_model(name, heads, head_conv=128, num_filters=[256, 256, 256],
dcn=False, gn=False, ws=False, freeze_bn=False, **kwargs):
if 'res' in name ... | 37.246154 | 80 | 0.576208 | 283 | 2,421 | 4.696113 | 0.293286 | 0.047404 | 0.056433 | 0.040632 | 0.242287 | 0.176072 | 0.155004 | 0.106847 | 0 | 0 | 0 | 0.021672 | 0.33292 | 2,421 | 64 | 81 | 37.828125 | 0.801238 | 0 | 0 | 0.169811 | 0 | 0 | 0.019 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.113208 | 0 | 0.188679 | 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 |
2e63134eca33ec86bdf84b7c00c96006e7888c50 | 16,775 | py | Python | src/moderations/slack.py | definitelysecure/shipwrecked | 3b79c6df63ed3c271ccb1b8a21081c76bcd9f08a | [
"MIT"
] | null | null | null | src/moderations/slack.py | definitelysecure/shipwrecked | 3b79c6df63ed3c271ccb1b8a21081c76bcd9f08a | [
"MIT"
] | null | null | null | src/moderations/slack.py | definitelysecure/shipwrecked | 3b79c6df63ed3c271ccb1b8a21081c76bcd9f08a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from datetime import datetime
import json
import re
import requests
from django.http import HttpResponse
from accounts.models import AuthToken
from moderations.models import Moderation, ModerationAction
from moderations.utils import timedelta_to_str
class SlackSdk(object):
@staticmethod
... | 33.086785 | 102 | 0.497466 | 1,611 | 16,775 | 5.002483 | 0.139665 | 0.039087 | 0.041693 | 0.027299 | 0.528353 | 0.452289 | 0.414816 | 0.398312 | 0.347065 | 0.285023 | 0 | 0.006559 | 0.363756 | 16,775 | 506 | 103 | 33.152174 | 0.747213 | 0.003815 | 0 | 0.289216 | 0 | 0.009804 | 0.209304 | 0.008824 | 0 | 0 | 0 | 0 | 0.002451 | 1 | 0.041667 | false | 0 | 0.019608 | 0.004902 | 0.122549 | 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 |
2e651a2fe83d07fb048afcf923ef6a66a310e429 | 2,814 | py | Python | APS.py | PabloGramos/APS | a7825628f8ce7ef46da413948c40d03c8118717e | [
"MIT"
] | null | null | null | APS.py | PabloGramos/APS | a7825628f8ce7ef46da413948c40d03c8118717e | [
"MIT"
] | null | null | null | APS.py | PabloGramos/APS | a7825628f8ce7ef46da413948c40d03c8118717e | [
"MIT"
] | null | null | null | def soma():
r=1
while r>0:
n1 = int(input("Valor: "))
n2 = int(input(f"{n1} + "))
soma = n1 + n2
print(f"\n{n1} + {n2} = {soma}\n")
r=int(input("1-Continuar 0-Sair: "))
if r > 1:
print("Opção Inválida!....Saindo")
r=0
def sub():
r = 1
... | 26.299065 | 121 | 0.429638 | 367 | 2,814 | 3.294278 | 0.201635 | 0.105873 | 0.104218 | 0.039702 | 0.473945 | 0.473945 | 0.463193 | 0.438379 | 0.405294 | 0.405294 | 0 | 0.049743 | 0.378465 | 2,814 | 107 | 122 | 26.299065 | 0.641509 | 0 | 0 | 0.457944 | 0 | 0.009346 | 0.314387 | 0.026998 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056075 | false | 0 | 0.018692 | 0 | 0.074766 | 0.158879 | 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 |
2e675938f3d093c0365d3aa398c262cefa7433e0 | 3,357 | py | Python | home-assistant-backup.py | scaarup/home-assistant-backup | 1310054ebd41550292d45329411500cb08b369a1 | [
"MIT"
] | null | null | null | home-assistant-backup.py | scaarup/home-assistant-backup | 1310054ebd41550292d45329411500cb08b369a1 | [
"MIT"
] | null | null | null | home-assistant-backup.py | scaarup/home-assistant-backup | 1310054ebd41550292d45329411500cb08b369a1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Created by Søren Christian Aarup, sc@aarup.org
# https://github.com/scaarup/home-assistant-backup
# api ref.: https://developers.home-assistant.io/docs/api/supervisor/endpoints
import requests,json,datetime,gzip,sys,datetime
from datetime import timedelta, date
token = 'Bearer <token>'
host = '... | 34.96875 | 105 | 0.670539 | 422 | 3,357 | 5.2891 | 0.329384 | 0.043011 | 0.029122 | 0.019713 | 0.301075 | 0.28853 | 0.274194 | 0.1819 | 0.143369 | 0.143369 | 0 | 0.002874 | 0.170688 | 3,357 | 95 | 106 | 35.336842 | 0.798851 | 0.129282 | 0 | 0.16 | 0 | 0 | 0.243643 | 0.0189 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.026667 | 0 | 0.133333 | 0.026667 | 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 |
2e6cd67c9f0d05ca91537b7f522e588f70c9a9c4 | 1,319 | py | Python | src/features/build_features.py | mikolajsacha/tweetsclassification | 33756cf6877f9cec328f08a3c728b26bf123bc8f | [
"MIT"
] | 4 | 2016-11-22T11:26:06.000Z | 2017-02-22T12:56:45.000Z | src/features/build_features.py | mikolajsacha/tweetsclassification | 33756cf6877f9cec328f08a3c728b26bf123bc8f | [
"MIT"
] | 26 | 2016-11-08T20:04:37.000Z | 2017-02-18T13:51:39.000Z | src/features/build_features.py | mikolajsacha/tweetsclassification | 33756cf6877f9cec328f08a3c728b26bf123bc8f | [
"MIT"
] | null | null | null | """
Contains class FeatureBuilder for building feature set from given data set and word embedding
"""
import numpy as np
class FeatureBuilder(object):
"""
Class used for building feature matrix.
Field "labels" is a list of categories of sentences
Field "features" is a features matrix of shape (trainin... | 36.638889 | 113 | 0.690675 | 162 | 1,319 | 5.530864 | 0.37037 | 0.066964 | 0.084821 | 0.029018 | 0.133929 | 0.133929 | 0.133929 | 0.133929 | 0.133929 | 0.133929 | 0 | 0.004892 | 0.225171 | 1,319 | 35 | 114 | 37.685714 | 0.87182 | 0.38514 | 0 | 0.266667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | 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 |
2e6d28bc002be9af0e517b72024d00a394efa949 | 1,624 | py | Python | json/conanfile.py | kapilsh/conan-scripts | 31c55397a2d721c80da5dbd6a6c738accfdbb241 | [
"MIT"
] | null | null | null | json/conanfile.py | kapilsh/conan-scripts | 31c55397a2d721c80da5dbd6a6c738accfdbb241 | [
"MIT"
] | null | null | null | json/conanfile.py | kapilsh/conan-scripts | 31c55397a2d721c80da5dbd6a6c738accfdbb241 | [
"MIT"
] | null | null | null | import os
from conans import ConanFile
from conans.tools import download, check_sha256
class NlohmannJsonConan(ConanFile):
name = "json"
with open(os.path.join(os.path.dirname(os.path.realpath(
__file__)), "VERSION.txt"), 'r') as version_file:
version = version_file.read()
settings = ... | 33.142857 | 79 | 0.633621 | 187 | 1,624 | 5.390374 | 0.481283 | 0.065476 | 0.084325 | 0.065476 | 0.083333 | 0.05754 | 0 | 0 | 0 | 0 | 0 | 0.039075 | 0.227833 | 1,624 | 48 | 80 | 33.833333 | 0.764753 | 0.01601 | 0 | 0 | 0 | 0.026316 | 0.260652 | 0.049499 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131579 | false | 0 | 0.078947 | 0.026316 | 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 |
2e6d68261b931f6d3c99896fa9c575feee129b51 | 5,958 | py | Python | projects/seeker/tasks/dialogue.py | DrMatters/ParlAI | 755b9dcb778deb5a82029d69ae3260579c6450f1 | [
"MIT"
] | null | null | null | projects/seeker/tasks/dialogue.py | DrMatters/ParlAI | 755b9dcb778deb5a82029d69ae3260579c6450f1 | [
"MIT"
] | null | null | null | projects/seeker/tasks/dialogue.py | DrMatters/ParlAI | 755b9dcb778deb5a82029d69ae3260579c6450f1 | [
"MIT"
] | 1 | 2022-01-24T13:22:18.000Z | 2022-01-24T13:22:18.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
SeeKeR Dialogue Tasks.
"""
from typing import Optional
from parlai.core.opt import Opt
from parlai.core.params impor... | 34.241379 | 88 | 0.643337 | 609 | 5,958 | 5.981938 | 0.228243 | 0.044469 | 0.027175 | 0.034587 | 0.444688 | 0.430963 | 0.343947 | 0.343947 | 0.313478 | 0.286028 | 0 | 0.002912 | 0.250755 | 5,958 | 173 | 89 | 34.439306 | 0.813172 | 0.049513 | 0 | 0.375 | 0 | 0 | 0.2126 | 0.114108 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080882 | false | 0.022059 | 0.095588 | 0 | 0.264706 | 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 |
2e6d9f56ad67c28ab101dfa720b2f55910ca38c7 | 350 | py | Python | chrispile/util.py | FNNDSC/chrispile | 9eb688b17bd3392c23b5cc2a1e11470d78d6029a | [
"MIT"
] | null | null | null | chrispile/util.py | FNNDSC/chrispile | 9eb688b17bd3392c23b5cc2a1e11470d78d6029a | [
"MIT"
] | null | null | null | chrispile/util.py | FNNDSC/chrispile | 9eb688b17bd3392c23b5cc2a1e11470d78d6029a | [
"MIT"
] | null | null | null | import abc
from argparse import ArgumentParser, Namespace
from .config import get_config
class CommandProvider(abc.ABC):
def __init__(self, parser: ArgumentParser):
self.config = get_config()
parser.set_defaults(func=self)
@abc.abstractmethod
def __call__(self, options: Namespace):
... | 25 | 47 | 0.728571 | 39 | 350 | 6.25641 | 0.564103 | 0.07377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.191429 | 350 | 13 | 48 | 26.923077 | 0.862191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.3 | 0 | 0.6 | 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 |
2e6f1afc0f744ac9404e2211aba6de066e7ef17c | 297 | py | Python | Part_1_beginner/07_type_dictionary/rozwiazania/exercise_1.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | Part_1_beginner/07_type_dictionary/rozwiazania/exercise_1.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | Part_1_beginner/07_type_dictionary/rozwiazania/exercise_1.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | 1 | 2021-02-20T08:30:56.000Z | 2021-02-20T08:30:56.000Z |
# Stwórz słownik, w którym kluczami będą różne przedmioty szkolne
# a wartościami oceny uzyskane z tych przedmiotów
grades = {
"Matematyka": [4, 2, 6, 5, 3],
"Fizyka": [5, 5, 2, 4, 3],
"Chemia": [4, 1, 4, 5, 4],
"Biologia": [3, 5, 5, 2, 5],
}
print("Przedmioty i oceny", grades)
| 24.75 | 65 | 0.599327 | 46 | 297 | 3.869565 | 0.630435 | 0.022472 | 0.033708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087336 | 0.228956 | 297 | 11 | 66 | 27 | 0.689956 | 0.373737 | 0 | 0 | 0 | 0 | 0.263736 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
2e7040e11ae9ee1dfa29a9acc88975d2a9c16bff | 703 | py | Python | paper2/figures/calibration_default.py | dfm/mapping_stellar_surfaces | 52d4ba1a726c65868e4a1290a801fe046fb2155f | [
"MIT"
] | 10 | 2021-01-21T17:03:26.000Z | 2021-12-19T17:49:28.000Z | paper2/figures/calibration_default.py | dfm/mapping_stellar_surfaces | 52d4ba1a726c65868e4a1290a801fe046fb2155f | [
"MIT"
] | 10 | 2021-01-21T15:55:53.000Z | 2021-03-30T14:35:16.000Z | paper2/figures/calibration_default.py | dfm/mapping_stellar_surfaces | 52d4ba1a726c65868e4a1290a801fe046fb2155f | [
"MIT"
] | 2 | 2021-01-21T15:41:58.000Z | 2021-01-25T16:26:15.000Z | from starry_process import calibrate
import numpy as np
import os
import shutil
# Utility funcs to move figures to this directory
abspath = lambda *args: os.path.join(
os.path.dirname(os.path.abspath(__file__)), *args
)
copy = lambda name, src, dest: shutil.copyfile(
abspath("data", name, src), abspath(dest)
)... | 31.954545 | 75 | 0.755334 | 97 | 703 | 5.329897 | 0.443299 | 0.085106 | 0.162476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001592 | 0.106686 | 703 | 21 | 76 | 33.47619 | 0.821656 | 0.11522 | 0 | 0 | 0 | 0 | 0.365696 | 0.237864 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.266667 | 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 |
2e7169ec55a244a64b91496630b7d2210f0c8139 | 5,922 | py | Python | python/ad/spectral_outlier.py | rislam/ad_examples | 20e6dd2dbfd111ed5f69a9018180f7ef5ab627f6 | [
"MIT"
] | 1 | 2019-02-21T02:28:34.000Z | 2019-02-21T02:28:34.000Z | python/ad/spectral_outlier.py | kinect59/ad_examples | bf0bb75faa3f713a2efef04b6b093e6a313825af | [
"MIT"
] | null | null | null | python/ad/spectral_outlier.py | kinect59/ad_examples | bf0bb75faa3f713a2efef04b6b093e6a313825af | [
"MIT"
] | null | null | null | import numpy.random as rnd
from sklearn import manifold
from sklearn.ensemble import IsolationForest
from common.gen_samples import *
"""
pythonw -m ad.spectral_outlier
"""
def euclidean_dist(x1, x2):
dist = np.sqrt(np.sum((x1 - x2) ** 2))
return dist
class LabelDiffusion(object):
"""
IMPORTANT: T... | 33.647727 | 99 | 0.577676 | 833 | 5,922 | 3.92557 | 0.285714 | 0.057187 | 0.026911 | 0.047095 | 0.10948 | 0.088073 | 0.06422 | 0.049541 | 0 | 0 | 0 | 0.020872 | 0.279973 | 5,922 | 175 | 100 | 33.84 | 0.746013 | 0.148261 | 0 | 0.055046 | 0 | 0 | 0.05136 | 0.023968 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027523 | false | 0 | 0.036697 | 0 | 0.091743 | 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 |
2e71e3d05682a0aebe1f4b9f321ce88d5da677b1 | 5,042 | py | Python | simchain/vm.py | Frank-gh/simchain | 4dec42b6039730e4dcc0068209dd90200ee6b3d3 | [
"Unlicense"
] | 74 | 2018-11-14T02:36:13.000Z | 2022-03-11T08:24:17.000Z | simchain/vm.py | Frank-gh/simchain | 4dec42b6039730e4dcc0068209dd90200ee6b3d3 | [
"Unlicense"
] | null | null | null | simchain/vm.py | Frank-gh/simchain | 4dec42b6039730e4dcc0068209dd90200ee6b3d3 | [
"Unlicense"
] | 35 | 2019-01-16T04:18:24.000Z | 2022-03-21T09:05:12.000Z |
from .logger import logger
from .ecc import convert_pubkey_to_addr,VerifyingKey,sha256d
class Stack(list):
push = list.append
def peek(self):
return self[-1]
class LittleMachine(object):
def __init__(self):
self.stack = Stack()
self._map = {
"OP_ADD": ... | 24.837438 | 76 | 0.527172 | 624 | 5,042 | 4.086538 | 0.214744 | 0.054902 | 0.025882 | 0.037255 | 0.237647 | 0.165882 | 0.062353 | 0.062353 | 0.028235 | 0.028235 | 0 | 0.018987 | 0.341928 | 5,042 | 202 | 77 | 24.960396 | 0.749548 | 0.12733 | 0 | 0.162791 | 0 | 0 | 0.037489 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155039 | false | 0 | 0.031008 | 0.023256 | 0.248062 | 0.007752 | 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 |
2e73ac16adb060cc06fc6f0d2d05cbe18736f6a0 | 5,556 | py | Python | bgx/validator-bgx/sawtooth_validator/journal/consensus/consensus_factory.py | sparsov/DGT-Kawartha-demo | edfbc18f2c70e813805ec23c28fbc35bf7866ffc | [
"Apache-2.0"
] | null | null | null | bgx/validator-bgx/sawtooth_validator/journal/consensus/consensus_factory.py | sparsov/DGT-Kawartha-demo | edfbc18f2c70e813805ec23c28fbc35bf7866ffc | [
"Apache-2.0"
] | 10 | 2020-05-12T06:58:15.000Z | 2022-02-26T23:59:35.000Z | bgx/validator-bgx/sawtooth_validator/journal/consensus/consensus_factory.py | DGT-Network/DGT-Mississauga | 52b5f1f4015db2aa7196e727a25b399de5fbf3c3 | [
"Apache-2.0"
] | 1 | 2021-01-12T21:38:01.000Z | 2021-01-12T21:38:01.000Z | # Copyright 2017 NTRLab
#
# 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, softw... | 42.090909 | 145 | 0.667207 | 600 | 5,556 | 5.96 | 0.245 | 0.11745 | 0.047819 | 0.031879 | 0.549217 | 0.510067 | 0.4217 | 0.36689 | 0.36689 | 0.36689 | 0 | 0.002417 | 0.2554 | 5,556 | 131 | 146 | 42.412214 | 0.861977 | 0.384989 | 0 | 0.322581 | 0 | 0 | 0.19457 | 0.14415 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.112903 | 0 | 0.258065 | 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 |
2e7810efd3616472cfac0aa367ce42b73363d1b5 | 4,162 | py | Python | nicos_sinq/zebra/setups/monochromator.py | ess-dmsc/nicos | 755d61d403ff7123f804c45fc80c7ff4d762993b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 1 | 2021-03-26T10:30:45.000Z | 2021-03-26T10:30:45.000Z | nicos_sinq/zebra/setups/monochromator.py | ess-dmsc/nicos | 755d61d403ff7123f804c45fc80c7ff4d762993b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_sinq/zebra/setups/monochromator.py | ess-dmsc/nicos | 755d61d403ff7123f804c45fc80c7ff4d762993b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 3 | 2020-08-04T18:35:05.000Z | 2021-04-16T11:22:08.000Z | description = 'Devices for the ZEBRA monochromator'
mota = 'SQ:ZEBRA:mota:'
motb = 'SQ:ZEBRA:motb:'
motd = 'SQ:ZEBRA:motd:'
devices = dict(
mtvl = device('nicos_ess.devices.epics.motor.EpicsMotor',
epicstimeout = 3.0,
description = 'Lower monochromator vertical translation',
motorpv = mota... | 34.97479 | 75 | 0.592023 | 419 | 4,162 | 5.842482 | 0.143198 | 0.071895 | 0.085784 | 0.128676 | 0.589052 | 0.518791 | 0.518791 | 0.518791 | 0.518791 | 0.518791 | 0 | 0.022401 | 0.281355 | 4,162 | 118 | 76 | 35.271186 | 0.796055 | 0 | 0 | 0.396552 | 0 | 0 | 0.351273 | 0.155694 | 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 |
2e79db4019af9551976d2be7470794d639b1bb48 | 15,886 | py | Python | scripts/loading/ontology/psimi.py | dougli1sqrd/SGDBackend-Nex2 | 2ecb2436db142cf08c6f2dbab6b115a394116632 | [
"MIT"
] | 5 | 2015-11-24T23:09:46.000Z | 2019-11-06T17:48:13.000Z | scripts/loading/ontology/psimi.py | dougli1sqrd/SGDBackend-Nex2 | 2ecb2436db142cf08c6f2dbab6b115a394116632 | [
"MIT"
] | 188 | 2017-08-28T22:39:03.000Z | 2022-03-02T14:53:46.000Z | scripts/loading/ontology/psimi.py | dougli1sqrd/SGDBackend-Nex2 | 2ecb2436db142cf08c6f2dbab6b115a394116632 | [
"MIT"
] | 7 | 2018-05-13T01:58:07.000Z | 2021-06-25T19:08:33.000Z | import urllib.request, urllib.parse, urllib.error
import logging
import os
from datetime import datetime
import sys
import importlib
importlib.reload(sys) # Reload does the trick!
from src.helpers import upload_file
from scripts.loading.database_session import get_session
from scripts.loading.ontology import read_owl
... | 39.715 | 165 | 0.585295 | 2,080 | 15,886 | 4.153846 | 0.115865 | 0.046181 | 0.017361 | 0.015625 | 0.480208 | 0.41875 | 0.357407 | 0.306829 | 0.267361 | 0.244907 | 0 | 0.006428 | 0.304671 | 15,886 | 399 | 166 | 39.814536 | 0.775756 | 0.074153 | 0 | 0.230496 | 0 | 0.007092 | 0.094981 | 0.002667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031915 | false | 0 | 0.056738 | 0 | 0.102837 | 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 |
2e7e9c74fb34d9d539ee2c2a737c83639c165ce7 | 1,765 | py | Python | aito/utils/_file_utils.py | AitoDotAI/aito-python-tools | 891d433222b04f4ff8a4eeafbb9268516fd215dc | [
"MIT"
] | 6 | 2019-10-16T02:35:06.000Z | 2021-02-03T13:39:43.000Z | aito/utils/_file_utils.py | AitoDotAI/aito-python-tools | 891d433222b04f4ff8a4eeafbb9268516fd215dc | [
"MIT"
] | 23 | 2020-03-17T13:16:02.000Z | 2021-04-23T15:09:51.000Z | aito/utils/_file_utils.py | AitoDotAI/aito-python-tools | 891d433222b04f4ff8a4eeafbb9268516fd215dc | [
"MIT"
] | null | null | null | import gzip
import json
import os
import shutil
from os import PathLike
from pathlib import Path
from typing import Dict, List
import ndjson
def check_file_is_gzipped(file_path: PathLike):
file_path = Path(file_path)
if file_path.suffixes[-2:] != ['.ndjson', '.gz']:
return False
else:
ret... | 30.964912 | 99 | 0.689518 | 268 | 1,765 | 4.309701 | 0.25 | 0.132468 | 0.033766 | 0.054545 | 0.164502 | 0.145455 | 0.145455 | 0.145455 | 0.145455 | 0.09697 | 0 | 0.00212 | 0.1983 | 1,765 | 56 | 100 | 31.517857 | 0.814134 | 0 | 0 | 0.155556 | 0 | 0 | 0.073088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.177778 | 0 | 0.377778 | 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 |
2e8a599c94ab88b6f514655190020c0bde169a1f | 586 | py | Python | data/data.py | owrior/snakeMach | 1af8ca51badd3e23201ef5cc873e9179ee01c058 | [
"MIT"
] | null | null | null | data/data.py | owrior/snakeMach | 1af8ca51badd3e23201ef5cc873e9179ee01c058 | [
"MIT"
] | null | null | null | data/data.py | owrior/snakeMach | 1af8ca51badd3e23201ef5cc873e9179ee01c058 | [
"MIT"
] | null | null | null | import numpy as np
from sklearn.datasets import make_blobs
from sklearn.preprocessing import normalize
class TestData:
def __init__(self, dimensions, points) -> None:
self.dimensions = dimensions
self.points = points
def linearly_separable(self) -> np.array:
x, y = make_blobs(
... | 25.478261 | 70 | 0.583618 | 78 | 586 | 4.25641 | 0.512821 | 0.03012 | 0.036145 | 0.042169 | 0.054217 | 0.054217 | 0 | 0 | 0 | 0 | 0 | 0.007335 | 0.302048 | 586 | 22 | 71 | 26.636364 | 0.804401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.176471 | 0 | 0.411765 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2e8d37dec89478528db6577f4a7c15427ede6234 | 7,013 | py | Python | sahara/tests/unit/plugins/mapr/utils/test_func_utils.py | citrix-openstack-build/sahara | 17e4f4dac5bb321ef4d5a55664cca0857127d7e6 | [
"Apache-2.0"
] | null | null | null | sahara/tests/unit/plugins/mapr/utils/test_func_utils.py | citrix-openstack-build/sahara | 17e4f4dac5bb321ef4d5a55664cca0857127d7e6 | [
"Apache-2.0"
] | null | null | null | sahara/tests/unit/plugins/mapr/utils/test_func_utils.py | citrix-openstack-build/sahara | 17e4f4dac5bb321ef4d5a55664cca0857127d7e6 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2014, MapR Technologies
#
# 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 agree... | 34.546798 | 76 | 0.592756 | 950 | 7,013 | 4.148421 | 0.114737 | 0.020299 | 0.015986 | 0.020299 | 0.642223 | 0.580817 | 0.541233 | 0.445572 | 0.336717 | 0.317178 | 0 | 0.001502 | 0.240696 | 7,013 | 202 | 77 | 34.717822 | 0.738592 | 0.081135 | 0 | 0.37415 | 0 | 0 | 0.027527 | 0 | 0 | 0 | 0 | 0 | 0.367347 | 1 | 0.129252 | false | 0 | 0.013605 | 0 | 0.156463 | 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 |
2e8e056676584d6baf6b9485f76064371025e1cf | 8,405 | py | Python | docs/rips/tests/test_cases.py | OPM/ResInsight-UserDocumentation | 2af2c3a5ef297c0061d842944360a83bf8e49c36 | [
"MIT"
] | 1 | 2020-04-25T21:24:45.000Z | 2020-04-25T21:24:45.000Z | docs/rips/tests/test_cases.py | OPM/ResInsight-UserDocumentation | 2af2c3a5ef297c0061d842944360a83bf8e49c36 | [
"MIT"
] | 7 | 2020-02-11T07:42:10.000Z | 2020-09-28T17:18:01.000Z | docs/rips/tests/test_cases.py | OPM/ResInsight-UserDocumentation | 2af2c3a5ef297c0061d842944360a83bf8e49c36 | [
"MIT"
] | 2 | 2020-04-02T09:33:45.000Z | 2020-04-09T19:44:53.000Z | import sys
import os
import math
import pytest
import grpc
import tempfile
sys.path.insert(1, os.path.join(sys.path[0], "../../"))
import rips
import dataroot
def test_Launch(rips_instance, initialize_test):
assert rips_instance is not None
def test_EmptyProject(rips_instance, initialize_test):
cases = ri... | 37.690583 | 87 | 0.723974 | 1,241 | 8,405 | 4.625302 | 0.205479 | 0.058537 | 0.047561 | 0.058537 | 0.529617 | 0.516376 | 0.447038 | 0.405226 | 0.366725 | 0.319512 | 0 | 0.057278 | 0.167043 | 8,405 | 222 | 88 | 37.86036 | 0.762605 | 0.04188 | 0 | 0.287356 | 0 | 0 | 0.112865 | 0.071473 | 0 | 0 | 0 | 0 | 0.304598 | 1 | 0.08046 | false | 0 | 0.045977 | 0 | 0.137931 | 0.005747 | 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 |
2e903b0c067785052b3d3529823e93eb770c9d80 | 2,959 | py | Python | tests/test_to_human.py | AleCandido/human_dates | 56bb10587b69e84b27a27117b2ecb3b1df09a028 | [
"MIT"
] | 1 | 2020-05-11T12:47:23.000Z | 2020-05-11T12:47:23.000Z | tests/test_to_human.py | AleCandido/human_dates | 56bb10587b69e84b27a27117b2ecb3b1df09a028 | [
"MIT"
] | 9 | 2020-04-30T13:43:30.000Z | 2020-10-19T15:32:54.000Z | tests/test_to_human.py | AleCandido/human_dates | 56bb10587b69e84b27a27117b2ecb3b1df09a028 | [
"MIT"
] | null | null | null | import datetime as dt
import pytest
import human_dates
class TestTimeAgoInWords:
"""
test time_ago_in_words function
"""
@pytest.fixture(autouse=True)
def _import_templates(self, templates):
"""
import templates from conftest local plugin
"""
self.templat... | 30.505155 | 82 | 0.559649 | 348 | 2,959 | 4.663793 | 0.229885 | 0.135551 | 0.060998 | 0.083179 | 0.36907 | 0.211337 | 0 | 0 | 0 | 0 | 0 | 0.036783 | 0.310916 | 2,959 | 96 | 83 | 30.822917 | 0.759196 | 0.053734 | 0 | 0.15493 | 0 | 0 | 0.055637 | 0 | 0 | 0 | 0 | 0 | 0.014085 | 1 | 0.15493 | false | 0 | 0.056338 | 0 | 0.225352 | 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 |
5ce8437b0fec0991f67a078f2016c53fe445b831 | 24,331 | py | Python | security_monkey/auditor.py | bungoume/security_monkey | 90c02638a315c78535869ab71a8859d17e011a6a | [
"Apache-2.0"
] | null | null | null | security_monkey/auditor.py | bungoume/security_monkey | 90c02638a315c78535869ab71a8859d17e011a6a | [
"Apache-2.0"
] | null | null | null | security_monkey/auditor.py | bungoume/security_monkey | 90c02638a315c78535869ab71a8859d17e011a6a | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Netflix, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 43.063717 | 211 | 0.586371 | 2,781 | 24,331 | 4.910464 | 0.147429 | 0.01406 | 0.014353 | 0.013474 | 0.332088 | 0.277827 | 0.244508 | 0.183875 | 0.170548 | 0.155316 | 0 | 0.001662 | 0.332498 | 24,331 | 564 | 212 | 43.140071 | 0.839172 | 0.15433 | 0 | 0.276139 | 0 | 0 | 0.065035 | 0.003447 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061662 | false | 0.002681 | 0.02681 | 0 | 0.16622 | 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 |
5ce9c84ffdd6672839d34427b02aa2894b9eec7a | 16,473 | py | Python | rst2reveal/Parser.py | rartino/rst2reveal | c31a0939275f26219aaa19ce4e55c3c08491aac8 | [
"MIT"
] | null | null | null | rst2reveal/Parser.py | rartino/rst2reveal | c31a0939275f26219aaa19ce4e55c3c08491aac8 | [
"MIT"
] | null | null | null | rst2reveal/Parser.py | rartino/rst2reveal | c31a0939275f26219aaa19ce4e55c3c08491aac8 | [
"MIT"
] | null | null | null | try:
import locale
locale.setlocale(locale.LC_ALL, '')
except:
pass
import os, sys, codecs
import docutils.core
from .RevealTranslator import RST2RevealTranslator, RST2RevealWriter
# Import custom directives
from .TwoColumnsDirective import *
from .PygmentsDirective import *
from .VideoDirective import *... | 40.375 | 169 | 0.541249 | 1,755 | 16,473 | 4.954416 | 0.216524 | 0.020242 | 0.030362 | 0.016906 | 0.190339 | 0.118689 | 0.077056 | 0.064405 | 0.025877 | 0.010351 | 0 | 0.00368 | 0.340193 | 16,473 | 407 | 170 | 40.474201 | 0.796301 | 0.215868 | 0 | 0.084615 | 0 | 0.030769 | 0.402674 | 0.087863 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0.003846 | 0.065385 | 0 | 0.126923 | 0.011538 | 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 |
5cee8d9dc6ecef33153612d1cf40e03aa8fb60af | 10,656 | py | Python | toqnets/nn/nltl/functional.py | C-SUNSHINE/TOQ-Nets-PyTorch-Release | 05e06bf633fb3c6b610dda9a5126ecd7af1db02f | [
"MIT"
] | 6 | 2021-08-24T21:46:01.000Z | 2022-03-09T14:34:05.000Z | toqnets/nn/nltl/functional.py | vacancy/TOQ-Nets-PyTorch-Release | 53a712be28e2ecf8d2e04a9f71a2d7e8db5430e1 | [
"MIT"
] | null | null | null | toqnets/nn/nltl/functional.py | vacancy/TOQ-Nets-PyTorch-Release | 53a712be28e2ecf8d2e04a9f71a2d7e8db5430e1 | [
"MIT"
] | 2 | 2021-08-23T03:06:20.000Z | 2021-09-30T14:17:14.000Z | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : functional.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 04/15/2020
#
# This file is part of TOQ-Nets-PyTorch.
# Distributed under terms of the MIT license.
from typing import List
import jactorch
import torch
from jacinle.utils.enum im... | 41.142857 | 152 | 0.62866 | 1,351 | 10,656 | 4.831236 | 0.151739 | 0.020224 | 0.025739 | 0.01195 | 0.54175 | 0.448905 | 0.386701 | 0.368316 | 0.341811 | 0.325264 | 0 | 0.017163 | 0.256381 | 10,656 | 258 | 153 | 41.302326 | 0.806537 | 0.201858 | 0 | 0.366279 | 0 | 0 | 0.052291 | 0.008875 | 0 | 0 | 0 | 0 | 0.005814 | 1 | 0.046512 | false | 0 | 0.02907 | 0 | 0.203488 | 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 |
5cf060a195dbf7d7e608526fbe61c86808f684c4 | 598 | py | Python | etcdb/execute/dml/use.py | box/etcdb | 0f27846a0ca13efff9750b97a38939f66172debc | [
"Apache-2.0"
] | 12 | 2016-10-25T18:03:49.000Z | 2019-06-27T13:20:22.000Z | etcdb/execute/dml/use.py | box/etcdb | 0f27846a0ca13efff9750b97a38939f66172debc | [
"Apache-2.0"
] | 30 | 2016-10-20T23:27:09.000Z | 2018-12-06T17:23:59.000Z | etcdb/execute/dml/use.py | box/etcdb | 0f27846a0ca13efff9750b97a38939f66172debc | [
"Apache-2.0"
] | 4 | 2016-10-20T23:24:48.000Z | 2022-03-01T09:59:29.000Z | """Implement USE query."""
from pyetcd import EtcdKeyNotFound
from etcdb import OperationalError
def use_database(etcd_client, tree):
"""
Return database name if it exists or raise exception.
:param etcd_client: etcd client
:type etcd_client: pyetcd.client.Client
:param tree: Parsing tree.
:... | 26 | 65 | 0.682274 | 73 | 598 | 5.520548 | 0.479452 | 0.124069 | 0.08933 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22408 | 598 | 22 | 66 | 27.181818 | 0.868534 | 0.449833 | 0 | 0 | 0 | 0 | 0.084507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 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 |
5cf0ea4689aa7bc6979159d92505dd9ac4c6f33a | 598 | py | Python | main.py | dminglv/covid19 | 4753f1574c9035c5780c6669e5a9bd3812a4bc10 | [
"MIT"
] | null | null | null | main.py | dminglv/covid19 | 4753f1574c9035c5780c6669e5a9bd3812a4bc10 | [
"MIT"
] | null | null | null | main.py | dminglv/covid19 | 4753f1574c9035c5780c6669e5a9bd3812a4bc10 | [
"MIT"
] | null | null | null | from libs.apis import getCountryInfo, getCountries, getCountriesNames
from libs.charts import visualize
def main():
arr = []
number = 10
# Get top 10 countries
countries = getCountries(number)
countries_names = getCountriesNames(number)
for i in range(len(countries)):
country = coun... | 19.290323 | 69 | 0.623746 | 62 | 598 | 5.790323 | 0.467742 | 0.044568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009368 | 0.285953 | 598 | 30 | 70 | 19.933333 | 0.831382 | 0.033445 | 0 | 0 | 0 | 0 | 0.032986 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 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 |
5cf285d186a6317622d28fa8ce936054a9456a47 | 4,158 | py | Python | app/server.py | DavidRalph/search-mendeley | 64cb3aa353d4a5571db0fb46a5b46b928af1c6b0 | [
"Apache-2.0"
] | 2 | 2020-05-15T02:06:46.000Z | 2020-05-15T02:14:52.000Z | app/server.py | DavidRalph/search-mendeley | 64cb3aa353d4a5571db0fb46a5b46b928af1c6b0 | [
"Apache-2.0"
] | 1 | 2018-05-16T12:55:14.000Z | 2018-05-18T14:29:14.000Z | app/server.py | DavidRalph/search-mendeley | 64cb3aa353d4a5571db0fb46a5b46b928af1c6b0 | [
"Apache-2.0"
] | 1 | 2020-05-15T02:14:55.000Z | 2020-05-15T02:14:55.000Z | from flask import Flask, redirect, render_template, request, session
import yaml
from mendeley import Mendeley
from mendeley.session import MendeleySession
with open('config.yml') as f:
config = yaml.load(f)
REDIRECT_URI = 'http://localhost:5000/oauth'
app = Flask(__name__)
app.debug = True
app.secret_key = co... | 26.316456 | 86 | 0.664262 | 478 | 4,158 | 5.631799 | 0.267782 | 0.083581 | 0.052006 | 0.042719 | 0.219168 | 0.219168 | 0.177563 | 0.165305 | 0.165305 | 0.131872 | 0 | 0.001847 | 0.218615 | 4,158 | 157 | 87 | 26.484076 | 0.826716 | 0.069264 | 0 | 0.186275 | 0 | 0 | 0.088342 | 0 | 0 | 0 | 0 | 0.006369 | 0 | 1 | 0.078431 | false | 0 | 0.039216 | 0.009804 | 0.235294 | 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 |
5cf2e08da44d6148a770dc0050be540bbf3f5a61 | 3,025 | py | Python | util/mathUtil.py | herougan/TradeHunter | 1270a1d9807d1f2107db6bc78b98b584431840cc | [
"MIT"
] | null | null | null | util/mathUtil.py | herougan/TradeHunter | 1270a1d9807d1f2107db6bc78b98b584431840cc | [
"MIT"
] | null | null | null | util/mathUtil.py | herougan/TradeHunter | 1270a1d9807d1f2107db6bc78b98b584431840cc | [
"MIT"
] | 1 | 2022-02-09T08:45:05.000Z | 2022-02-09T08:45:05.000Z | from math import floor
import talib
from util.dataRetrievalUtil import try_stdev
from util.langUtil import try_mean, try_int
def quartile_out(quartile, data):
"""Takes out extremities"""
pass
def moving_average(period, data):
avg = []
if len(data) < period:
return avg
for i in range(pe... | 23.632813 | 97 | 0.597686 | 454 | 3,025 | 3.823789 | 0.264317 | 0.020737 | 0.020737 | 0.017281 | 0.360599 | 0.360599 | 0.360599 | 0.360599 | 0.331797 | 0.331797 | 0 | 0.040056 | 0.290248 | 3,025 | 128 | 98 | 23.632813 | 0.768514 | 0.106116 | 0 | 0.505376 | 0 | 0 | 0.050448 | 0.0213 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0.032258 | 0.043011 | 0 | 0.473118 | 0.010753 | 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 |
5cf5f3ec8ad78eb84a1e2c101567b1b3b4dc3a79 | 5,057 | py | Python | 09-gui/terremoto_antiguo.py | Agc96/matplotlib-examples | bc2db2d14c1822b05f99356ebf538ebcd14f262a | [
"MIT"
] | null | null | null | 09-gui/terremoto_antiguo.py | Agc96/matplotlib-examples | bc2db2d14c1822b05f99356ebf538ebcd14f262a | [
"MIT"
] | null | null | null | 09-gui/terremoto_antiguo.py | Agc96/matplotlib-examples | bc2db2d14c1822b05f99356ebf538ebcd14f262a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 25 18:38:21 2019
@author: Agutierrez
"""
# -*- coding: utf-8 -*-
"""
Interfaz gráfica para el movimiento armónico de un edificio, de forma similar
a un terremoto.
"""
import numpy as np
import tkinter as tk
from matplotlib.animation import FuncAnimation
from matplotlib.... | 36.381295 | 87 | 0.693692 | 683 | 5,057 | 5.045388 | 0.313324 | 0.027858 | 0.036564 | 0.046721 | 0.276262 | 0.228671 | 0.193268 | 0.167731 | 0.167731 | 0.167731 | 0 | 0.028304 | 0.196559 | 5,057 | 138 | 88 | 36.644928 | 0.819838 | 0.167886 | 0 | 0.097561 | 0 | 0 | 0.142708 | 0 | 0 | 0 | 0 | 0 | 0.036585 | 1 | 0.073171 | false | 0.012195 | 0.073171 | 0 | 0.195122 | 0.012195 | 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 |
5cf67afad445851293cf259134cd16fdc9dcfa88 | 1,914 | py | Python | app/tests/test_questions.py | Gichia/questioner-v2 | b93ffdc521e364c191b770bf1bcb93964e7fa1f3 | [
"MIT"
] | null | null | null | app/tests/test_questions.py | Gichia/questioner-v2 | b93ffdc521e364c191b770bf1bcb93964e7fa1f3 | [
"MIT"
] | 6 | 2019-01-22T17:35:28.000Z | 2022-01-13T01:01:48.000Z | app/tests/test_questions.py | Gichia/questioner-v2 | b93ffdc521e364c191b770bf1bcb93964e7fa1f3 | [
"MIT"
] | null | null | null | """File to test all meetup endpoints"""
import os
import psycopg2 as pg2
import json
from app.tests.basetest import BaseTest
data = {
"title": "Test Title",
"body": "body"
}
comment = {
"comment": "Comment 1"
}
class TestQuestions(BaseTest):
""" Class to test all user endpoints """
def test_post_ques... | 28.147059 | 67 | 0.636886 | 237 | 1,914 | 5.084388 | 0.261603 | 0.074689 | 0.104564 | 0.082988 | 0.575934 | 0.475519 | 0.337759 | 0.337759 | 0.337759 | 0.337759 | 0 | 0.028782 | 0.219436 | 1,914 | 67 | 68 | 28.567164 | 0.777778 | 0.141066 | 0 | 0.25641 | 0 | 0 | 0.217175 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.128205 | false | 0 | 0.102564 | 0 | 0.25641 | 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 |
5cf7844c0843b1293636cf8069df2f14c752925e | 392 | py | Python | coinbase_commerce/aio/api_resources/base/create_api_resource.py | nkoshell/coinbase-commerce-python | 94dc57951ac897ffbc7861dc909f413028d6a0b9 | [
"Apache-2.0"
] | null | null | null | coinbase_commerce/aio/api_resources/base/create_api_resource.py | nkoshell/coinbase-commerce-python | 94dc57951ac897ffbc7861dc909f413028d6a0b9 | [
"Apache-2.0"
] | null | null | null | coinbase_commerce/aio/api_resources/base/create_api_resource.py | nkoshell/coinbase-commerce-python | 94dc57951ac897ffbc7861dc909f413028d6a0b9 | [
"Apache-2.0"
] | null | null | null | from coinbase_commerce import util
from . import APIResource
__all__ = (
'CreateAPIResource',
)
class CreateAPIResource(APIResource):
"""
Create operations mixin
"""
@classmethod
async def create(cls, **params):
response = await cls._api_client.post(cls.RESOURCE_PATH, data=params)
... | 21.777778 | 77 | 0.706633 | 44 | 392 | 6 | 0.659091 | 0.045455 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19898 | 392 | 17 | 78 | 23.058824 | 0.840764 | 0.058673 | 0 | 0 | 0 | 0 | 0.048159 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 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 |
5cfa55d58decf3e1c5433b4c930ab763da369af0 | 392 | py | Python | api/app.py | loudest/vision_zero | 91b094d864fabedbaa56cb9d1639aa75aa19bb00 | [
"MIT"
] | 2 | 2015-03-25T00:51:45.000Z | 2015-06-18T10:54:24.000Z | api/app.py | loudest/vision_zero | 91b094d864fabedbaa56cb9d1639aa75aa19bb00 | [
"MIT"
] | null | null | null | api/app.py | loudest/vision_zero | 91b094d864fabedbaa56cb9d1639aa75aa19bb00 | [
"MIT"
] | null | null | null | #!flask/bin/python
from flask import Flask, jsonify
import requests
app = Flask(__name__)
@app.route('/')
def index():
return "Hello, World!"
@app.route('/signed_data', methods=['GET'])
def signed_map():
r = requests.get('http://data.seattle.gov/resource/kb3s-zi3s.json')
json_data = r.json()
return jsonify({... | 18.666667 | 69 | 0.683673 | 56 | 392 | 4.5 | 0.589286 | 0.063492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005865 | 0.130102 | 392 | 20 | 70 | 19.6 | 0.733138 | 0.043367 | 0 | 0 | 0 | 0 | 0.236559 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.153846 | 0.076923 | 0.461538 | 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 |
5cfc0222b944d024264d6196a63452889c5cce0e | 5,482 | py | Python | Modules/scan.py | mafiamasterhere/EvilNet | 5b93d69ff9b6b16edfd3053f1f56857173b59eb1 | [
"MIT"
] | 91 | 2020-06-19T22:08:32.000Z | 2022-03-28T08:27:10.000Z | scan.py | lunnar211/CRACK_WIFI | 654af29306dd6582bf3ece38e9dd2de196f09aab | [
"MIT"
] | null | null | null | scan.py | lunnar211/CRACK_WIFI | 654af29306dd6582bf3ece38e9dd2de196f09aab | [
"MIT"
] | 22 | 2020-06-29T13:19:40.000Z | 2021-11-26T11:22:40.000Z | import nmap3
from colored import fg, bg, attr
import colored
import socket as sock
from Modules import intro
class nmap3_Scan() :
def __init__(self):
self.angry1 = colored.fg("green") + colored.attr("bold")
self.angry = colored.fg("white") + colored.attr("bold")
print(f"""{self.angry1}
... | 42.169231 | 91 | 0.506202 | 669 | 5,482 | 4.071749 | 0.13154 | 0.143906 | 0.052863 | 0.044053 | 0.733113 | 0.68025 | 0.670338 | 0.653451 | 0.601689 | 0.547357 | 0 | 0.011082 | 0.292229 | 5,482 | 129 | 92 | 42.496124 | 0.690979 | 0 | 0 | 0.431034 | 0 | 0 | 0.191901 | 0.051076 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0.008621 | 0.043103 | 0 | 0.12069 | 0.12931 | 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 |
5cfea876092666973d9916499f12af7785c199a1 | 1,524 | py | Python | api/serializers.py | Wholefolio/marketmanager | 5a8314707806a6790c507e1bd817891e8dc88811 | [
"Apache-2.0"
] | null | null | null | api/serializers.py | Wholefolio/marketmanager | 5a8314707806a6790c507e1bd817891e8dc88811 | [
"Apache-2.0"
] | null | null | null | api/serializers.py | Wholefolio/marketmanager | 5a8314707806a6790c507e1bd817891e8dc88811 | [
"Apache-2.0"
] | null | null | null | """Serializers module."""
from rest_framework import serializers
from django_celery_results.models import TaskResult
from api import models
class ExchangeSerializer(serializers.ModelSerializer):
"""Serializer to map the Model instance into JSON format."""
class Meta:
"""Meta class to map serializer'... | 31.75 | 75 | 0.631234 | 163 | 1,524 | 5.766871 | 0.435583 | 0.110638 | 0.076596 | 0.080851 | 0.382979 | 0.297872 | 0.297872 | 0.297872 | 0.297872 | 0.297872 | 0 | 0 | 0.238189 | 1,524 | 47 | 76 | 32.425532 | 0.809647 | 0.164698 | 0 | 0.148148 | 0 | 0 | 0.207698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.111111 | 0.037037 | 0.481481 | 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 |
5cfff87f1a992e437041fea9fa36fffc753143d6 | 3,228 | py | Python | invenio_oaiserver/views/server.py | ParthS007/invenio-oaiserver | 6fa5d2e2a770377ffe34a44bc60b0a817853da95 | [
"MIT"
] | null | null | null | invenio_oaiserver/views/server.py | ParthS007/invenio-oaiserver | 6fa5d2e2a770377ffe34a44bc60b0a817853da95 | [
"MIT"
] | null | null | null | invenio_oaiserver/views/server.py | ParthS007/invenio-oaiserver | 6fa5d2e2a770377ffe34a44bc60b0a817853da95 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2018 CERN.
# Copyright (C) 2022 Graz University of Technology.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""OAI-PMH 2.0 server."""
from f... | 31.339806 | 77 | 0.629492 | 340 | 3,228 | 5.891176 | 0.405882 | 0.052421 | 0.037444 | 0.044933 | 0.218173 | 0.161258 | 0.090864 | 0 | 0 | 0 | 0 | 0.013109 | 0.243804 | 3,228 | 102 | 78 | 31.647059 | 0.807456 | 0.145601 | 0 | 0.188406 | 0 | 0 | 0.141805 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.289855 | 0.130435 | 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 |
cf01e9ecb22b1e70b4470ec1161d194bd76c4e67 | 6,847 | py | Python | searching/models.py | netvigator/auctions | f88bcce800b60083a5d1a6f272c51bb540b8342a | [
"MIT"
] | null | null | null | searching/models.py | netvigator/auctions | f88bcce800b60083a5d1a6f272c51bb540b8342a | [
"MIT"
] | 13 | 2019-12-12T03:07:55.000Z | 2022-03-07T12:59:27.000Z | searching/models.py | netvigator/auctions | f88bcce800b60083a5d1a6f272c51bb540b8342a | [
"MIT"
] | null | null | null | from django.db import models
from core.utils import getReverseWithUpdatedQuery
from ebayinfo.models import EbayCategory
from categories.models import Category
from core.dj_import import get_user_model
User = get_user_model()
from searching import ALL_PRIORITIES
from pyPks.Time.Ou... | 47.548611 | 91 | 0.535417 | 668 | 6,847 | 5.411677 | 0.33982 | 0.04426 | 0.017981 | 0.023513 | 0.17538 | 0.151591 | 0.100415 | 0.100415 | 0.08686 | 0.08686 | 0 | 0.004033 | 0.384402 | 6,847 | 143 | 92 | 47.881119 | 0.853618 | 0.035636 | 0 | 0.205128 | 0 | 0 | 0.282781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.059829 | 0.017094 | 0.358974 | 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 |
cf025b07d576f1c46ac2887dea5c3dde0c945bf5 | 367 | py | Python | Maths/fibonacciSeries.py | baiyongzhen/python | a8f367d2136f1aaeab63345e160e59fe16d62a11 | [
"MIT"
] | 1 | 2018-10-16T13:41:06.000Z | 2018-10-16T13:41:06.000Z | Maths/fibonacciSeries.py | baiyongzhen/python | a8f367d2136f1aaeab63345e160e59fe16d62a11 | [
"MIT"
] | null | null | null | Maths/fibonacciSeries.py | baiyongzhen/python | a8f367d2136f1aaeab63345e160e59fe16d62a11 | [
"MIT"
] | 2 | 2018-10-03T15:47:30.000Z | 2019-10-23T16:35:48.000Z | # Fibonacci Sequence Using Recursion
def recur_fibo(n):
if n <= 1:
return n
else:
return(recur_fibo(n-1) + recur_fibo(n-2))
limit = int(input("How many terms to include in fionacci series:"))
if limit <= 0:
print("Plese enter a positive integer")
else:
print("Fibonacci series:")
for ... | 21.588235 | 67 | 0.640327 | 56 | 367 | 4.125 | 0.607143 | 0.155844 | 0.12987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014286 | 0.237057 | 367 | 16 | 68 | 22.9375 | 0.810714 | 0.092643 | 0 | 0.166667 | 0 | 0 | 0.277946 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.166667 | 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 |
cf02f2ac21df464b0428c1c4c3f886070ec8055f | 6,319 | py | Python | extract_tokens.py | anuprulez/similar_galaxy_tools | 19eefa567fdb56781dc5f42a0bea8af0969f5978 | [
"MIT"
] | 2 | 2018-02-02T18:52:12.000Z | 2018-02-03T08:36:44.000Z | extract_tokens.py | anuprulez/similar_galaxy_tools | 19eefa567fdb56781dc5f42a0bea8af0969f5978 | [
"MIT"
] | null | null | null | extract_tokens.py | anuprulez/similar_galaxy_tools | 19eefa567fdb56781dc5f42a0bea8af0969f5978 | [
"MIT"
] | 1 | 2018-02-03T08:36:57.000Z | 2018-02-03T08:36:57.000Z | """
Extract useful tokens from multiple attributes of Galaxy tools
"""
import os
import numpy as np
import pandas as pd
import operator
import json
import utils
class ExtractTokens:
@classmethod
def __init__( self, tools_data_path ):
self.tools_data_path = tools_data_path
@classmethod
def ... | 42.126667 | 110 | 0.549929 | 704 | 6,319 | 4.673295 | 0.21733 | 0.027356 | 0.021885 | 0.027356 | 0.159574 | 0.084498 | 0.046201 | 0.046201 | 0 | 0 | 0 | 0.005304 | 0.373477 | 6,319 | 149 | 111 | 42.409396 | 0.825714 | 0.118531 | 0 | 0.106195 | 0 | 0 | 0.028713 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053097 | false | 0 | 0.053097 | 0 | 0.159292 | 0.00885 | 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 |