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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
75d7637d4de985450afeaf8267ea59deab8e6e61 | 478 | py | Python | Module_04/ex00/test.py | CristinaFdezBornay/PythonPiscine | 143968c2e26f5ddddb5114f3bcdddd0b1f00d153 | [
"MIT"
] | 1 | 2021-11-17T10:04:30.000Z | 2021-11-17T10:04:30.000Z | Module_04/ex00/test.py | CristinaFdezBornay/PythonPiscine | 143968c2e26f5ddddb5114f3bcdddd0b1f00d153 | [
"MIT"
] | null | null | null | Module_04/ex00/test.py | CristinaFdezBornay/PythonPiscine | 143968c2e26f5ddddb5114f3bcdddd0b1f00d153 | [
"MIT"
] | null | null | null | from FileLoader import FileLoader
tests = [
"non_existing_file.csv",
"empty_file.csv",
"../data/athlete_events.csv",
]
if __name__=="__main__":
for test in tests:
print(f"==> TESTING {test}")
fl = FileLoader()
print(f"\n=> Loading file")
df = fl.load(test)
pri... | 20.782609 | 43 | 0.541841 | 63 | 478 | 3.920635 | 0.507937 | 0.097166 | 0.08502 | 0.11336 | 0.137652 | 0.137652 | 0 | 0 | 0 | 0 | 0 | 0.01173 | 0.286611 | 478 | 23 | 44 | 20.782609 | 0.71261 | 0 | 0 | 0 | 0 | 0 | 0.340292 | 0.098121 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 0.235294 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
75db1e4b6ac368d1004f97e5c6edf9221b06b01a | 7,631 | py | Python | lagen/nu/regeringenlegacy.py | redhog/ferenda | 6935e26fdc63adc68b8e852292456b8d9155b1f7 | [
"BSD-2-Clause"
] | 18 | 2015-03-12T17:42:44.000Z | 2021-12-27T10:32:22.000Z | lagen/nu/regeringenlegacy.py | redhog/ferenda | 6935e26fdc63adc68b8e852292456b8d9155b1f7 | [
"BSD-2-Clause"
] | 13 | 2016-01-27T10:19:07.000Z | 2021-12-13T20:24:36.000Z | lagen/nu/regeringenlegacy.py | redhog/ferenda | 6935e26fdc63adc68b8e852292456b8d9155b1f7 | [
"BSD-2-Clause"
] | 6 | 2016-11-28T15:41:29.000Z | 2022-01-08T11:16:48.000Z | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
# this repo overrides ferenda.sources.legal.se.Regeringen to work
# against old downloaded
import re
import codecs
# from urllib.parse import urljoin
from rdflib ... | 40.375661 | 135 | 0.576727 | 798 | 7,631 | 5.438596 | 0.349624 | 0.022581 | 0.030645 | 0.033871 | 0.052995 | 0.015668 | 0.015668 | 0 | 0 | 0 | 0 | 0.009301 | 0.32368 | 7,631 | 188 | 136 | 40.590426 | 0.831622 | 0.139169 | 0 | 0.068182 | 0 | 0 | 0.106728 | 0.006575 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.106061 | 0.022727 | 0.272727 | 0.007576 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
75e2178969612f0c7284d059eb5edd0c7915d7e5 | 2,850 | py | Python | lambda_assistant/mysql/client_handler.py | matiasvallejosdev/py-aws-lambda-handlers | 4643042bc02e557bb4a2953118de5f4eb5320d70 | [
"Apache-2.0"
] | null | null | null | lambda_assistant/mysql/client_handler.py | matiasvallejosdev/py-aws-lambda-handlers | 4643042bc02e557bb4a2953118de5f4eb5320d70 | [
"Apache-2.0"
] | null | null | null | lambda_assistant/mysql/client_handler.py | matiasvallejosdev/py-aws-lambda-handlers | 4643042bc02e557bb4a2953118de5f4eb5320d70 | [
"Apache-2.0"
] | null | null | null | import pymysql
import logging
from lambda_assistant.handlers.event_handler import EventHandler
from lambda_assistant.errors import *
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class Select():
def Select(self, handler: EventHandler, conn: pymysql.connections.Connection, sql: str):
... | 35.185185 | 135 | 0.565965 | 288 | 2,850 | 5.493056 | 0.288194 | 0.044248 | 0.03287 | 0.051201 | 0.521492 | 0.521492 | 0.521492 | 0.521492 | 0.521492 | 0.407712 | 0 | 0.001081 | 0.350526 | 2,850 | 80 | 136 | 35.625 | 0.853593 | 0.05193 | 0 | 0.491803 | 0 | 0 | 0.004215 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0.04918 | 0.065574 | 0 | 0.327869 | 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 |
75e72372c73d69ec71d6ae230b03dd3710c4e2a3 | 2,506 | py | Python | examples/building.py | jbermudezcabrera/campos | df34f93dd37b435a82663fb72ef37f669832af22 | [
"MIT"
] | null | null | null | examples/building.py | jbermudezcabrera/campos | df34f93dd37b435a82663fb72ef37f669832af22 | [
"MIT"
] | null | null | null | examples/building.py | jbermudezcabrera/campos | df34f93dd37b435a82663fb72ef37f669832af22 | [
"MIT"
] | null | null | null | """This example demonstrates the basics on building complete forms using campos.
It creates several fields, marking some of them as required and adding some
custom validation.
Finally fields are added to a CreationForm which have several buttons and a
custom callback connected to one of them. After added, some relate... | 33.413333 | 80 | 0.634876 | 306 | 2,506 | 5.107843 | 0.441176 | 0.035829 | 0.046065 | 0.020473 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001544 | 0.224661 | 2,506 | 74 | 81 | 33.864865 | 0.802882 | 0.173982 | 0 | 0 | 0 | 0 | 0.206211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.093023 | 0 | 0.162791 | 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 |
75e9882a624cfcf705ab7744f64aca22cda52bfb | 8,452 | py | Python | ai.py | LHGames-2017/nospace | 1f36fb980ee51cdc576b765eff2c4ad5533ea0e3 | [
"MIT"
] | null | null | null | ai.py | LHGames-2017/nospace | 1f36fb980ee51cdc576b765eff2c4ad5533ea0e3 | [
"MIT"
] | null | null | null | ai.py | LHGames-2017/nospace | 1f36fb980ee51cdc576b765eff2c4ad5533ea0e3 | [
"MIT"
] | null | null | null | from flask import Flask, request
from structs import *
import json
import numpy as np
import sys
import random, time
app = Flask(__name__)
dx=0
dy=0
def create_action(action_type, target):
actionContent = ActionContent(action_type, target.__dict__)
#print(actionContent)
return json.dumps(actionContent.__di... | 30.959707 | 172 | 0.565192 | 1,129 | 8,452 | 4.116918 | 0.177148 | 0.010327 | 0.024096 | 0.028399 | 0.20525 | 0.1179 | 0.114458 | 0.112737 | 0.076592 | 0.03012 | 0 | 0.024801 | 0.270114 | 8,452 | 272 | 173 | 31.073529 | 0.728643 | 0.096545 | 0 | 0.069767 | 0 | 0 | 0.038992 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104651 | false | 0 | 0.034884 | 0.040698 | 0.296512 | 0.040698 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
75ee6ab2f29331c5f95dba4b6e05f4612d407042 | 3,004 | py | Python | sierra_adapter/sierra_progress_reporter/src/interval_arithmetic.py | wellcomecollection/catalogue-pipeline | 360fa432a006f5e197a5b22d72cced7d6735d222 | [
"MIT"
] | 8 | 2019-08-02T09:48:40.000Z | 2019-12-20T14:06:58.000Z | sierra_adapter/sierra_progress_reporter/src/interval_arithmetic.py | wellcomecollection/catalogue | 17dcf7f1977f953fbaf35c60aa166aaa1413fdd2 | [
"MIT"
] | 329 | 2020-02-18T07:43:08.000Z | 2021-04-23T10:45:33.000Z | sierra_adapter/sierra_progress_reporter/src/interval_arithmetic.py | wellcomecollection/catalogue-pipeline | 360fa432a006f5e197a5b22d72cced7d6735d222 | [
"MIT"
] | 1 | 2019-08-22T11:44:34.000Z | 2019-08-22T11:44:34.000Z | import datetime as dt
import os
import attr
@attr.s(repr=False)
class Interval:
start = attr.ib()
end = attr.ib()
key = attr.ib()
def __repr__(self):
return "%s(start=%r, end=%r, key=%r)" % (
type(self).__name__,
self.start.isoformat(),
self.end.isoformat(... | 29.165049 | 78 | 0.508655 | 338 | 3,004 | 4.434911 | 0.366864 | 0.036691 | 0.048032 | 0.013342 | 0.106738 | 0.106738 | 0.106738 | 0.105404 | 0.105404 | 0.105404 | 0 | 0.003215 | 0.378828 | 3,004 | 102 | 79 | 29.45098 | 0.800107 | 0.314248 | 0 | 0.222222 | 0 | 0 | 0.055723 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.055556 | 0.037037 | 0.259259 | 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 |
75f1634c6e371274f9060f7f9a480ee9c930fa89 | 1,082 | py | Python | userbot/plugins/hpdiwali.py | yu9ohde/Marshmellow | 145c90470701c972ab458483ac1b9320d1a44e8e | [
"MIT"
] | 2 | 2020-12-06T03:46:08.000Z | 2022-02-19T20:34:52.000Z | userbot/plugins/hpdiwali.py | pro-boy/Marshmello | 4cf6d96b69a7e0617ba5ced96eb5ee557b318b4c | [
"MIT"
] | 4 | 2020-11-07T07:39:51.000Z | 2020-11-10T03:46:41.000Z | userbot/plugins/hpdiwali.py | pro-boy/Marshmello | 4cf6d96b69a7e0617ba5ced96eb5ee557b318b4c | [
"MIT"
] | 9 | 2020-11-28T11:30:44.000Z | 2021-06-01T07:11:57.000Z | # Plugin made by Dark cobra
# For Dark cobra
# Made by Shivam Patel(Team Cobra)
# Kang with credits..
import random
from userbot import CMD_HELP
from userbot.events import register
from userbot.utils import admin_cmd
from telethon import events, types, functions, utils
import asyncio
def choser(cmd, pack, blacklist... | 28.473684 | 134 | 0.621072 | 126 | 1,082 | 5.222222 | 0.579365 | 0.050152 | 0.039514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017173 | 0.30037 | 1,082 | 37 | 135 | 29.243243 | 0.852048 | 0.086876 | 0 | 0 | 0 | 0 | 0.04883 | 0.033571 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.25 | 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 |
75f227cf59ba67118be0d4f419b2d0cc15fd93df | 1,024 | py | Python | scripts/parse-weka-results.py | jholewinski/ics-12-overlapped-tiling | af2b39bc957d33f68d4617865431ca731b18430a | [
"MIT"
] | 3 | 2015-12-31T11:19:50.000Z | 2017-11-30T03:14:56.000Z | scripts/parse-weka-results.py | jholewinski/ics-12-overlapped-tiling | af2b39bc957d33f68d4617865431ca731b18430a | [
"MIT"
] | null | null | null | scripts/parse-weka-results.py | jholewinski/ics-12-overlapped-tiling | af2b39bc957d33f68d4617865431ca731b18430a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
maximum = 0.0
selected = 0.0
results = []
for line in sys.stdin.readlines()[5:]:
line = line.strip()
if len(line) == 0:
continue
(inst, actual, predicted, error) = line.split()
results.append([inst, actual, predicted, error])
predicted = float(predicted... | 26.947368 | 79 | 0.630859 | 150 | 1,024 | 4.213333 | 0.313333 | 0.087025 | 0.082278 | 0.037975 | 0.251582 | 0.251582 | 0.251582 | 0.10443 | 0.10443 | 0.10443 | 0 | 0.023632 | 0.214844 | 1,024 | 37 | 80 | 27.675676 | 0.762438 | 0.019531 | 0 | 0 | 0 | 0 | 0.095904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 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 |
75f3476923aa5142454f8d9f4ed05a21bd8875d9 | 941 | py | Python | symtuner/logger.py | audxo14/symtuner | 741e4e14cfcf09b7c7a71ce34cf28f1858f1f476 | [
"MIT"
] | null | null | null | symtuner/logger.py | audxo14/symtuner | 741e4e14cfcf09b7c7a71ce34cf28f1858f1f476 | [
"MIT"
] | 1 | 2022-01-26T12:51:32.000Z | 2022-01-26T12:51:32.000Z | symtuner/logger.py | audxo14/symtuner | 741e4e14cfcf09b7c7a71ce34cf28f1858f1f476 | [
"MIT"
] | 1 | 2022-01-26T12:42:24.000Z | 2022-01-26T12:42:24.000Z | '''Logging module for symtuner library
Logging module for symtuner library. All loggings in symtuner library use this module.
'''
import logging as _logging
_LOGGER = None
def get_logger():
'''Get a logger.
Get a singleton `Logger`. If `Logger` not defined make one and return. If `get_logger` called
... | 28.515152 | 98 | 0.631243 | 106 | 941 | 5.443396 | 0.481132 | 0.07799 | 0.055459 | 0.083189 | 0.211438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.268863 | 941 | 32 | 99 | 29.40625 | 0.838663 | 0.343252 | 0 | 0 | 0 | 0 | 0.131624 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
75f57c3ebdfa5b1c58a1a40cbcfe56a933e80e69 | 3,326 | py | Python | config/eval.py | XiaLiPKU/RESCAN-for-Deraining | e28d1d7cd3d8b276ce88de730de1603bafa30e23 | [
"MIT"
] | 292 | 2018-07-17T01:11:53.000Z | 2022-03-31T13:06:50.000Z | config/eval.py | XiaLiPKU/RESCAN-for-Deraining | e28d1d7cd3d8b276ce88de730de1603bafa30e23 | [
"MIT"
] | 18 | 2018-08-02T13:33:06.000Z | 2022-01-26T15:54:27.000Z | config/eval.py | XiaLiPKU/RESCAN-for-Deraining | e28d1d7cd3d8b276ce88de730de1603bafa30e23 | [
"MIT"
] | 87 | 2018-07-17T18:02:09.000Z | 2021-12-19T08:21:57.000Z | import os
import sys
import cv2
import argparse
import numpy as np
import torch
from torch import nn
from torch.nn import MSELoss
from torch.optim import Adam
from torch.optim.lr_scheduler import MultiStepLR
from torch.autograd import Variable
from torch.utils.data import DataLoader
from tensorboardX import SummaryWri... | 28.672414 | 81 | 0.613049 | 459 | 3,326 | 4.259259 | 0.270153 | 0.027621 | 0.021483 | 0.017391 | 0.011253 | 0.011253 | 0.011253 | 0 | 0 | 0 | 0 | 0.004971 | 0.274203 | 3,326 | 115 | 82 | 28.921739 | 0.804888 | 0 | 0 | 0 | 0 | 0 | 0.046917 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.182796 | 0 | 0.290323 | 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 |
75f5ca0e1019fe3f64db390c86a601c2f8792420 | 6,371 | py | Python | FastEMRIWaveforms/few/utils/modeselector.py | basuparth/ICERM_Workshop | ebabce680fc87e90ff1de30246dcda9beb384bb4 | [
"MIT"
] | null | null | null | FastEMRIWaveforms/few/utils/modeselector.py | basuparth/ICERM_Workshop | ebabce680fc87e90ff1de30246dcda9beb384bb4 | [
"MIT"
] | null | null | null | FastEMRIWaveforms/few/utils/modeselector.py | basuparth/ICERM_Workshop | ebabce680fc87e90ff1de30246dcda9beb384bb4 | [
"MIT"
] | null | null | null | # Online mode selection for FastEMRIWaveforms Packages
# Copyright (C) 2020 Michael L. Katz, Alvin J.K. Chua, Niels Warburton, Scott A. Hughes
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, ... | 38.149701 | 95 | 0.622822 | 909 | 6,371 | 4.293729 | 0.331133 | 0.010249 | 0.009224 | 0.010249 | 0.149372 | 0.110684 | 0.070202 | 0.048424 | 0.029208 | 0.029208 | 0 | 0.017153 | 0.295401 | 6,371 | 166 | 96 | 38.379518 | 0.852306 | 0.624706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0.02 | 0.1 | 0 | 0.24 | 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 |
75f9e56ae6c6a091caa3997bff09abbf8201e9db | 2,803 | py | Python | source/hsicbt/model/vgg.py | tongjian121/PK-HBaR | c564e0f08c2c09e0023384adecfcf25e2d53a8a3 | [
"MIT"
] | 9 | 2021-11-04T16:53:04.000Z | 2022-03-28T10:27:44.000Z | source/hsicbt/model/vgg.py | tongjian121/PK-HBaR | c564e0f08c2c09e0023384adecfcf25e2d53a8a3 | [
"MIT"
] | null | null | null | source/hsicbt/model/vgg.py | tongjian121/PK-HBaR | c564e0f08c2c09e0023384adecfcf25e2d53a8a3 | [
"MIT"
] | null | null | null | import math
import torch
import torch.nn as nn
from torch.autograd import Variable
from torchvision import models
defaultcfg = {
11 : [64, 'M', 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512],
13 : [64, 64, 'M', 128, 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512],
16 : [64, 64, 'M', 128, 128, 'M', 256... | 32.593023 | 108 | 0.567249 | 424 | 2,803 | 3.591981 | 0.214623 | 0.090611 | 0.076822 | 0.055154 | 0.286277 | 0.241628 | 0.224557 | 0.105056 | 0.099803 | 0.06172 | 0 | 0.148495 | 0.276846 | 2,803 | 86 | 109 | 32.593023 | 0.602861 | 0.035319 | 0 | 0.193548 | 0 | 0 | 0.013333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.080645 | 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 |
75faae9bc5c91a63ded3c9f4f2e51213df5e1730 | 11,555 | py | Python | src/out/ICFP18evaluation/evaluationTreeLSTM/PyTorch/scripts/preprocess-sst.py | faradaym/Lantern | 536e48da79ee374527c669f77ad9e0a0776a0bb8 | [
"BSD-3-Clause"
] | 158 | 2018-03-28T21:58:07.000Z | 2022-02-22T00:49:46.000Z | src/out/ICFP18evaluation/evaluationTreeLSTM/PyTorch/scripts/preprocess-sst.py | douxiansheng/Lantern | f453de532da638c1f467953b32bbe49a3dedfa45 | [
"BSD-3-Clause"
] | 35 | 2018-09-03T21:27:15.000Z | 2019-05-11T02:17:49.000Z | src/out/ICFP18evaluation/evaluationTreeLSTM/PyTorch/scripts/preprocess-sst.py | douxiansheng/Lantern | f453de532da638c1f467953b32bbe49a3dedfa45 | [
"BSD-3-Clause"
] | 36 | 2017-06-30T00:28:59.000Z | 2022-01-24T12:20:42.000Z | """
Preprocessing script for Stanford Sentiment Treebank data.
"""
import os
import glob
#
# Trees and tree loading
#
class ConstTree(object):
def __init__(self):
self.left = None
self.right = None
def size(self):
self.size = 1
if self.left is not None:
self.size... | 32.457865 | 87 | 0.539766 | 1,429 | 11,555 | 4.26662 | 0.121763 | 0.036411 | 0.049205 | 0.036739 | 0.409218 | 0.30802 | 0.206331 | 0.170248 | 0.149582 | 0.124651 | 0 | 0.004721 | 0.340026 | 11,555 | 355 | 88 | 32.549296 | 0.794781 | 0.02804 | 0 | 0.29932 | 0 | 0.003401 | 0.051035 | 0.007405 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.006803 | 0 | 0.129252 | 0.017007 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
75fc997c30736fa87f40fddc061010fa3c1f2c9f | 12,703 | py | Python | models/relevance/relevance_google_net.py | sanglee/XAI-threshold-calibration | 24ddd5213b02d4fb919bca191392fe8b1a30aa88 | [
"Apache-2.0"
] | null | null | null | models/relevance/relevance_google_net.py | sanglee/XAI-threshold-calibration | 24ddd5213b02d4fb919bca191392fe8b1a30aa88 | [
"Apache-2.0"
] | null | null | null | models/relevance/relevance_google_net.py | sanglee/XAI-threshold-calibration | 24ddd5213b02d4fb919bca191392fe8b1a30aa88 | [
"Apache-2.0"
] | null | null | null | import warnings
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
import torch.utils.model_zoo as model_zoo
from typing import Optional, Tuple, List, Callable, Any
from modules.layers import *
__all__ = ['GoogLeNet', 'googlenet', "GoogLeNetO... | 32.994805 | 119 | 0.581831 | 1,704 | 12,703 | 4.220657 | 0.181338 | 0.027809 | 0.041296 | 0.054227 | 0.29644 | 0.241518 | 0.179227 | 0.16713 | 0.13668 | 0.13668 | 0 | 0.073857 | 0.302921 | 12,703 | 385 | 120 | 32.994805 | 0.73834 | 0.215855 | 0 | 0.163717 | 0 | 0 | 0.067507 | 0 | 0 | 0 | 0 | 0 | 0.004425 | 1 | 0.070796 | false | 0 | 0.039823 | 0 | 0.185841 | 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 |
75fe4ffed842895823f432c3592116337d923fac | 8,457 | py | Python | polyglotdb/client/client.py | michaelhaaf/PolyglotDB | 7640212c7062cf44ae911081241ce83a26ced2eb | [
"MIT"
] | 25 | 2016-01-28T20:47:07.000Z | 2021-11-29T16:13:07.000Z | polyglotdb/client/client.py | michaelhaaf/PolyglotDB | 7640212c7062cf44ae911081241ce83a26ced2eb | [
"MIT"
] | 120 | 2016-04-07T17:55:09.000Z | 2022-03-24T18:30:10.000Z | polyglotdb/client/client.py | PhonologicalCorpusTools/PolyglotDB | 7640212c7062cf44ae911081241ce83a26ced2eb | [
"MIT"
] | 10 | 2015-12-03T20:06:58.000Z | 2021-02-11T03:02:48.000Z | import requests
from ..exceptions import ClientError
class PGDBClient(object):
"""
Simple client for interacting with ISCAN servers.
"""
def __init__(self, host, token=None, corpus_name=None):
self.host = host
self.token = token
if self.host.endswith('/'):
self.hos... | 33.295276 | 108 | 0.537898 | 895 | 8,457 | 4.973184 | 0.130726 | 0.072793 | 0.032352 | 0.043136 | 0.680521 | 0.644125 | 0.611099 | 0.596945 | 0.558751 | 0.514716 | 0 | 0.006033 | 0.33357 | 8,457 | 253 | 109 | 33.426877 | 0.783712 | 0.184936 | 0 | 0.661157 | 0 | 0 | 0.157215 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.016529 | 0.016529 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
75fefd40d863da1697a3900b9bc8d32e531394bf | 2,745 | py | Python | python/plotCSV.py | lrquad/LoboScripts | 04d2de79d2d83e781e3f4a3de2531dc48e4013a6 | [
"MIT"
] | null | null | null | python/plotCSV.py | lrquad/LoboScripts | 04d2de79d2d83e781e3f4a3de2531dc48e4013a6 | [
"MIT"
] | null | null | null | python/plotCSV.py | lrquad/LoboScripts | 04d2de79d2d83e781e3f4a3de2531dc48e4013a6 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import matplotlib.animation as animation
from matplotlib import rcParams
import matplotlib.patches as patches
rcParams['font.family'] = 'Times New Roman'
rcParams['font.size'] = 20
rcParams['axes.edgecolor'] = (0.0, 0.0, ... | 30.5 | 151 | 0.665938 | 428 | 2,745 | 4.063084 | 0.299065 | 0.051754 | 0.017251 | 0.018401 | 0.230017 | 0.154112 | 0.13916 | 0.090857 | 0.090857 | 0.041403 | 0 | 0.025121 | 0.173406 | 2,745 | 89 | 152 | 30.842697 | 0.741296 | 0.052095 | 0 | 0.060606 | 0 | 0 | 0.075 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0 | 0.090909 | 0 | 0.242424 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f01f5d13c019c855d7b51b2b4f48b63f6f7275b | 12,327 | py | Python | wrappers/python/virgil_crypto_lib/foundation/_c_bridge/_vscf_rsa.py | odidev/virgil-crypto-c | 3d5d5cb19fdcf81eab08cdc63647f040117ecbd8 | [
"BSD-3-Clause"
] | 26 | 2018-12-17T13:45:25.000Z | 2022-01-16T20:00:04.000Z | wrappers/python/virgil_crypto_lib/foundation/_c_bridge/_vscf_rsa.py | odidev/virgil-crypto-c | 3d5d5cb19fdcf81eab08cdc63647f040117ecbd8 | [
"BSD-3-Clause"
] | 4 | 2019-01-03T12:08:52.000Z | 2021-12-02T05:21:13.000Z | wrappers/python/virgil_crypto_lib/foundation/_c_bridge/_vscf_rsa.py | odidev/virgil-crypto-c | 3d5d5cb19fdcf81eab08cdc63647f040117ecbd8 | [
"BSD-3-Clause"
] | 8 | 2019-01-24T08:22:06.000Z | 2022-02-07T11:37:00.000Z | # Copyright (C) 2015-2021 Virgil Security, Inc.
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# (1) Redistributions of source code must retain the above copyright
# notice, this li... | 49.705645 | 124 | 0.736108 | 1,875 | 12,327 | 4.4672 | 0.1264 | 0.136223 | 0.023878 | 0.04298 | 0.671442 | 0.53713 | 0.435769 | 0.368792 | 0.306232 | 0.24797 | 0 | 0.00352 | 0.193397 | 12,327 | 247 | 125 | 49.906883 | 0.838882 | 0.297883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.180451 | false | 0.007519 | 0.150376 | 0 | 0.548872 | 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 |
2f03da5c972d890701aa5588b07be7bd754ca560 | 5,268 | py | Python | bulk-image-optimizer.py | carzam87/python-bulk-image-optimizer | 1e9e9396de84de3651b963fc3b8b569893296dde | [
"MIT"
] | 8 | 2020-01-28T10:33:28.000Z | 2022-01-28T12:51:50.000Z | bulk-image-optimizer.py | carzam87/python-bulk-image-optimizer | 1e9e9396de84de3651b963fc3b8b569893296dde | [
"MIT"
] | null | null | null | bulk-image-optimizer.py | carzam87/python-bulk-image-optimizer | 1e9e9396de84de3651b963fc3b8b569893296dde | [
"MIT"
] | 5 | 2020-09-29T08:26:35.000Z | 2021-11-15T20:07:20.000Z | import os
import subprocess
from pathlib import Path
from PIL import Image
import errno
import time
from re import search
CONVERT_PNG_TO_JPG = False
TOTAL_ORIGINAL = 0
TOTAL_COMPRESSED = 0
TOTAL_GAIN = 0
TOTAL_FILES = 0
QUALITY = 85
def compress(location):
for r, d, f in os.walk(location):
for item in d:... | 44.644068 | 123 | 0.44609 | 525 | 5,268 | 4.297143 | 0.234286 | 0.037234 | 0.034574 | 0.045213 | 0.300532 | 0.266844 | 0.246454 | 0.246454 | 0.246454 | 0.246454 | 0 | 0.01235 | 0.431283 | 5,268 | 117 | 124 | 45.025641 | 0.740654 | 0.058846 | 0 | 0.309278 | 0 | 0 | 0.145282 | 0.050919 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010309 | false | 0 | 0.072165 | 0 | 0.082474 | 0.103093 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f03ebf048e5859cb54e5897517da48e3b0f38d0 | 16,968 | py | Python | interpretdl/interpreter/lime.py | Tyihou/InterpretDL | df8894f8703634df4bfcbdcc495a3d12b220028c | [
"Apache-2.0"
] | 1 | 2021-03-11T02:38:51.000Z | 2021-03-11T02:38:51.000Z | interpretdl/interpreter/lime.py | Tyihou/InterpretDL | df8894f8703634df4bfcbdcc495a3d12b220028c | [
"Apache-2.0"
] | null | null | null | interpretdl/interpreter/lime.py | Tyihou/InterpretDL | df8894f8703634df4bfcbdcc495a3d12b220028c | [
"Apache-2.0"
] | null | null | null | import os
import typing
from typing import Any, Callable, List, Tuple, Union
import numpy as np
from ..data_processor.readers import preprocess_image, read_image, restore_image
from ..data_processor.visualizer import show_important_parts, visualize_image, save_image
from ..common.paddle_utils import init_checkpoint, t... | 39.277778 | 184 | 0.552393 | 1,919 | 16,968 | 4.665451 | 0.181866 | 0.019658 | 0.021445 | 0.013403 | 0.501731 | 0.486317 | 0.463755 | 0.449012 | 0.425109 | 0.379984 | 0 | 0.013825 | 0.369107 | 16,968 | 431 | 185 | 39.36891 | 0.822513 | 0.405646 | 0 | 0.475962 | 0 | 0 | 0.011678 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043269 | false | 0 | 0.057692 | 0 | 0.139423 | 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 |
2f042e06fed341e6137967c14ffb3b319a432271 | 2,106 | py | Python | opendc-web/opendc-web-api/opendc/api/v2/portfolios/portfolioId/scenarios/endpoint.py | Koen1999/opendc | f9b43518d2d50f33077734537a477539fca9f5b7 | [
"MIT"
] | null | null | null | opendc-web/opendc-web-api/opendc/api/v2/portfolios/portfolioId/scenarios/endpoint.py | Koen1999/opendc | f9b43518d2d50f33077734537a477539fca9f5b7 | [
"MIT"
] | 4 | 2020-11-27T16:27:58.000Z | 2020-12-28T23:00:08.000Z | opendc-web/opendc-web-api/opendc/api/v2/portfolios/portfolioId/scenarios/endpoint.py | Koen1999/opendc | f9b43518d2d50f33077734537a477539fca9f5b7 | [
"MIT"
] | null | null | null | from opendc.models.portfolio import Portfolio
from opendc.models.scenario import Scenario
from opendc.models.topology import Topology
from opendc.util.rest import Response
def POST(request):
"""Add a new Scenario for this Portfolio."""
request.check_required_parameters(path={'portfolioId': 'string'},
... | 42.12 | 91 | 0.45679 | 144 | 2,106 | 6.541667 | 0.402778 | 0.042463 | 0.050955 | 0.046709 | 0.089172 | 0.089172 | 0.089172 | 0.089172 | 0 | 0 | 0 | 0.00258 | 0.447768 | 2,106 | 49 | 92 | 42.979592 | 0.807395 | 0.018044 | 0 | 0 | 0 | 0 | 0.151309 | 0.014549 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.108108 | 0 | 0.162162 | 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 |
f92e0d9330578dc947fa3c0cecc40a9523ecca24 | 1,906 | py | Python | Python/pymd/md/core/box.py | ryanlopezzzz/ABPTutorial | 923fa89f1959cd71b28ecf4628ecfbfce6a6206c | [
"MIT"
] | 8 | 2020-05-05T00:41:50.000Z | 2021-11-04T20:54:43.000Z | Python/pymd/md/core/box.py | ryanlopezzzz/ABPTutorial | 923fa89f1959cd71b28ecf4628ecfbfce6a6206c | [
"MIT"
] | null | null | null | Python/pymd/md/core/box.py | ryanlopezzzz/ABPTutorial | 923fa89f1959cd71b28ecf4628ecfbfce6a6206c | [
"MIT"
] | 5 | 2020-05-04T16:37:13.000Z | 2021-08-18T07:53:58.000Z | # Copyright 2020 Rastko Sknepnek, University of Dundee, r.skepnek@dundee.ac.uk
#
# 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 ... | 45.380952 | 114 | 0.693599 | 306 | 1,906 | 4.30719 | 0.454248 | 0.066768 | 0.018209 | 0.021244 | 0.080425 | 0.044006 | 0.044006 | 0 | 0 | 0 | 0 | 0.015562 | 0.224554 | 1,906 | 42 | 115 | 45.380952 | 0.876184 | 0.764953 | 0 | 0 | 0 | 0 | 0.125654 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f92f4eea713aeec6532cc3eed5da737cef8d020e | 884 | py | Python | dot_vim/plugged/vim-devicons/pythonx/vim_devicons/powerline/segments.py | gabefgonc/san-francisco-rice-dotfiles | 60ff3539f34ecfff6d7bce895497e2a3805910d4 | [
"MIT"
] | 4,897 | 2015-07-12T17:52:02.000Z | 2022-03-31T16:07:01.000Z | dot_vim/plugged/vim-devicons/pythonx/vim_devicons/powerline/segments.py | gabefgonc/san-francisco-rice-dotfiles | 60ff3539f34ecfff6d7bce895497e2a3805910d4 | [
"MIT"
] | 337 | 2015-07-12T17:14:35.000Z | 2022-03-05T17:27:24.000Z | dot_vim/plugged/vim-devicons/pythonx/vim_devicons/powerline/segments.py | gabefgonc/san-francisco-rice-dotfiles | 60ff3539f34ecfff6d7bce895497e2a3805910d4 | [
"MIT"
] | 365 | 2015-07-20T07:51:11.000Z | 2022-02-22T05:00:56.000Z | # -*- coding: utf-8 -*-
# vim:se fenc=utf8 noet:
from __future__ import (unicode_literals, division, absolute_import, print_function)
try:
import vim
except ImportError:
vim = {}
from powerline.bindings.vim import (vim_get_func, buffer_name)
from powerline.theme import requires_segment_info
@requires_segment_info
... | 30.482759 | 84 | 0.777149 | 107 | 884 | 6.065421 | 0.411215 | 0.101695 | 0.161787 | 0.067797 | 0.101695 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002548 | 0.111991 | 884 | 28 | 85 | 31.571429 | 0.824204 | 0.049774 | 0 | 0.181818 | 0 | 0 | 0.191159 | 0.096774 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.227273 | 0 | 0.409091 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9306dd6abfdca80dd6982ef5b08247263dd7576 | 5,530 | py | Python | src/gui_occluder/custom/sr_occluder.py | hgiesel/anki-multiple-choice | 1a9a22480eb6c0e7f421dc08d36d14920e43dd3e | [
"MIT"
] | 5 | 2019-12-26T08:08:52.000Z | 2021-11-21T03:34:27.000Z | src/gui_occluder/custom/sr_occluder.py | hgiesel/anki-set-randomizer | 1a9a22480eb6c0e7f421dc08d36d14920e43dd3e | [
"MIT"
] | 84 | 2019-08-01T20:36:17.000Z | 2019-10-26T16:16:33.000Z | src/gui_occluder/custom/sr_occluder.py | hgiesel/anki_set_randomizer | 1a9a22480eb6c0e7f421dc08d36d14920e43dd3e | [
"MIT"
] | null | null | null | import os
import enum
from aqt.qt import QDialog, QGraphicsScene, QGraphicsRectItem, QGraphicsEllipseItem, QApplication
from aqt.qt import Qt, QPen, QGraphicsItem, QPixmap, QRectF, QPainter
from aqt.qt import QPointF, QBrush, QColor, QPainterPath, QIcon, QSize, QPalette
from aqt.utils import showInfo
from ..sr_occlu... | 34.5625 | 97 | 0.674141 | 613 | 5,530 | 6.029364 | 0.205546 | 0.069805 | 0.035173 | 0.045996 | 0.222403 | 0.165584 | 0.165584 | 0.165584 | 0 | 0 | 0 | 0.006679 | 0.214828 | 5,530 | 159 | 98 | 34.779874 | 0.844542 | 0 | 0 | 0.070866 | 0 | 0 | 0.049548 | 0.029837 | 0 | 0 | 0 | 0 | 0 | 1 | 0.11811 | false | 0 | 0.07874 | 0 | 0.291339 | 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 |
f930eb0037c9a1f7c847f03ac1f6289fad3453d4 | 13,371 | py | Python | gen3config/config.py | uc-cdis/gen3config | fe340c0ce8ef3367f13c4f6040ec605e5fa7bc0c | [
"Apache-2.0"
] | null | null | null | gen3config/config.py | uc-cdis/gen3config | fe340c0ce8ef3367f13c4f6040ec605e5fa7bc0c | [
"Apache-2.0"
] | null | null | null | gen3config/config.py | uc-cdis/gen3config | fe340c0ce8ef3367f13c4f6040ec605e5fa7bc0c | [
"Apache-2.0"
] | null | null | null | """
Configuration class for handling configs with a given default.
If you need custom functionality or need to apply post_processing to parsed config,
simply extend this class.
Example:
```
class FenceConfig(Config):
def __init__(self, *args, **kwargs):
super(FenceConfig, self).__init__(*args, **kwargs)
... | 35.943548 | 99 | 0.615362 | 1,615 | 13,371 | 4.928173 | 0.237771 | 0.029024 | 0.022867 | 0.016711 | 0.11421 | 0.088328 | 0.067345 | 0.051263 | 0.051263 | 0.039955 | 0 | 0.001262 | 0.28861 | 13,371 | 371 | 100 | 36.040431 | 0.835471 | 0.442974 | 0 | 0.112426 | 0 | 0.005917 | 0.134393 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106509 | false | 0.005917 | 0.053254 | 0.029586 | 0.218935 | 0.005917 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f931949a583110bdf77e537bf67ef0dfdd9aeae4 | 8,150 | py | Python | src/ReinforcementLearning/Modules/carlaUtils.py | B-C-WANG/ReinforcementLearningInAutoPilot | 8d3c0b81e3db2fb4be0e52e25b700c54f5e569dc | [
"MIT"
] | 27 | 2019-05-14T01:06:05.000Z | 2022-03-06T03:12:40.000Z | src/ReinforcementLearning/Modules/carlaUtils.py | B-C-WANG/ReinforcementLearningInAutoPilot | 8d3c0b81e3db2fb4be0e52e25b700c54f5e569dc | [
"MIT"
] | null | null | null | src/ReinforcementLearning/Modules/carlaUtils.py | B-C-WANG/ReinforcementLearningInAutoPilot | 8d3c0b81e3db2fb4be0e52e25b700c54f5e569dc | [
"MIT"
] | 10 | 2020-01-20T09:39:51.000Z | 2022-03-31T18:30:53.000Z | # coding:utf-8
# Type: Public
import numpy as np
import common.Math as cMath
import math
class CarlrUtils(object):
Author = "BaoChuan Wang"
AllowImport = False
@staticmethod
def get_direction_vector_series_and_car_to_next_waypoint_ratio(
carla_engine,
start_waypoint_xy_array... | 40.346535 | 141 | 0.640613 | 900 | 8,150 | 5.385556 | 0.194444 | 0.055705 | 0.105839 | 0.080875 | 0.467918 | 0.374458 | 0.322468 | 0.285125 | 0.238704 | 0.215185 | 0 | 0.011974 | 0.282699 | 8,150 | 201 | 142 | 40.547264 | 0.81714 | 0.283313 | 0 | 0.247191 | 0 | 0 | 0.00866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033708 | false | 0 | 0.044944 | 0 | 0.146067 | 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 |
f932dbe3d5afcee0aae3f946f59a3b66e3f2fb59 | 2,413 | py | Python | models.py | abhishekyana/CycleGANs-PyTorch | ebbd7d6dbed642577cc37a3e741f4233b9cbbd7a | [
"MIT"
] | 12 | 2019-07-27T09:54:57.000Z | 2021-04-23T23:34:25.000Z | models.py | abhishekyana/CycleGANs-PyTorch | ebbd7d6dbed642577cc37a3e741f4233b9cbbd7a | [
"MIT"
] | 5 | 2020-11-13T15:40:12.000Z | 2022-03-11T23:53:51.000Z | models.py | abhishekyana/CycleGANs-PyTorch | ebbd7d6dbed642577cc37a3e741f4233b9cbbd7a | [
"MIT"
] | 2 | 2021-03-11T10:45:33.000Z | 2021-04-23T23:34:29.000Z | import torch.nn as nn
import torch.nn.functional as F
class ResBlock(nn.Module):
def __init__(self, inFeatures):
super(ResBlock, self).__init__()
self.conv = nn.Sequential(nn.ReflectionPad2d(1),
nn.Conv2d(inFeatures, inFeatures, 3),
nn.InstanceNorm2d(inFeatures),
nn.ReLU(inplace=True),... | 30.544304 | 100 | 0.642768 | 317 | 2,413 | 4.810726 | 0.201893 | 0.052459 | 0.039344 | 0.04918 | 0.613115 | 0.588852 | 0.502295 | 0.361967 | 0.278033 | 0.278033 | 0 | 0.058017 | 0.214256 | 2,413 | 79 | 101 | 30.544304 | 0.746308 | 0.018235 | 0 | 0.439394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.030303 | 0 | 0.212121 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9347e37b52fec0692880a203b911075b279ecba | 5,194 | py | Python | file-io-and-other-io/modfile/test_ip_gen.py | eda-ricercatore/python-sandbox | 741d23e15f22239cb5df8af6e695cd8e3574be50 | [
"MIT"
] | null | null | null | file-io-and-other-io/modfile/test_ip_gen.py | eda-ricercatore/python-sandbox | 741d23e15f22239cb5df8af6e695cd8e3574be50 | [
"MIT"
] | null | null | null | file-io-and-other-io/modfile/test_ip_gen.py | eda-ricercatore/python-sandbox | 741d23e15f22239cb5df8af6e695cd8e3574be50 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
This is written by Zhiyang Ong to modify text (non-binary) files.
Synopsis:
Script to modify text (non-binary) files.
Revision History:
1) November 11, 2014. Initial working version.
The MIT License (MIT)
Copyright (c) <2014> <Zhiyang Ong>
Permission is hereby granted, f... | 57.076923 | 980 | 0.701579 | 709 | 5,194 | 5.090268 | 0.510578 | 0.017456 | 0.016625 | 0.012469 | 0.040454 | 0.029925 | 0 | 0 | 0 | 0 | 0 | 0.019811 | 0.144782 | 5,194 | 90 | 981 | 57.711111 | 0.792661 | 0.527147 | 0 | 0.2 | 0 | 0 | 0.587192 | 0 | 0.05 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 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 |
f934993945194bcd3e81f89c7b932f03bda5ad14 | 8,771 | py | Python | aux_lib.py | paulokuriki/dcmtag2table | e9f7f366ffe64653aa2fab9bffd88669f1ed7f3f | [
"Apache-2.0"
] | null | null | null | aux_lib.py | paulokuriki/dcmtag2table | e9f7f366ffe64653aa2fab9bffd88669f1ed7f3f | [
"Apache-2.0"
] | null | null | null | aux_lib.py | paulokuriki/dcmtag2table | e9f7f366ffe64653aa2fab9bffd88669f1ed7f3f | [
"Apache-2.0"
] | null | null | null | import pydicom
from tqdm import tqdm
import pandas as pd
import os
import time
import glob
import numpy as np
from pydicom import _dicom_dict as dc
from constants import *
import string
def dcmtag2df(folder: str, list_of_tags: list):
"""
# Create a Pandas DataFrame with the <list_of_tags> DICOM tags
# from... | 37.165254 | 115 | 0.551248 | 1,032 | 8,771 | 4.452519 | 0.196705 | 0.048966 | 0.036779 | 0.050925 | 0.411099 | 0.386289 | 0.331665 | 0.296844 | 0.133624 | 0.133624 | 0 | 0.014674 | 0.3629 | 8,771 | 235 | 116 | 37.323404 | 0.807623 | 0.104663 | 0 | 0.335165 | 0 | 0 | 0.083162 | 0.011311 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032967 | false | 0.010989 | 0.054945 | 0 | 0.17033 | 0.06044 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f93933ebd7cddbd101cc7daf0772e4787528a6a9 | 2,965 | py | Python | server/swagger_server/models/people_patch.py | fabric-testbed/fabric-core-api | 8ce79fd16e1020271487967743a89b7a2346bf45 | [
"MIT"
] | null | null | null | server/swagger_server/models/people_patch.py | fabric-testbed/fabric-core-api | 8ce79fd16e1020271487967743a89b7a2346bf45 | [
"MIT"
] | null | null | null | server/swagger_server/models/people_patch.py | fabric-testbed/fabric-core-api | 8ce79fd16e1020271487967743a89b7a2346bf45 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server.models.preferences import Preferences # noqa: F401,E501
from swagger_server import util
class... | 25.560345 | 101 | 0.601349 | 329 | 2,965 | 5.334347 | 0.206687 | 0.054701 | 0.154986 | 0.039886 | 0.333333 | 0.191453 | 0.17094 | 0 | 0 | 0 | 0 | 0.013685 | 0.309949 | 2,965 | 115 | 102 | 25.782609 | 0.844086 | 0.412142 | 0 | 0.214286 | 0 | 0 | 0.049443 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0 | 0.142857 | 0 | 0.452381 | 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 |
f9393f537340aad0fcc03fb7b4478b7455578c86 | 14,649 | py | Python | Code/src/models/optim/DMSAD_trainer.py | antoine-spahr/Contrastive-Deep-Semi-Supervised-Anomaly-Detection | e84c28ce4dd28671d39752a7d21c674e05fcb495 | [
"MIT"
] | 8 | 2021-02-19T17:30:00.000Z | 2022-02-21T05:55:06.000Z | Code/src/models/optim/DMSAD_trainer.py | antoine-spahr/Contrastive-Deep-Semi-Supervised-Anomaly-Detection | e84c28ce4dd28671d39752a7d21c674e05fcb495 | [
"MIT"
] | 1 | 2021-05-03T14:04:53.000Z | 2021-05-03T14:48:01.000Z | Code/src/models/optim/DMSAD_trainer.py | antoine-spahr/Contrastive-Deep-Semi-Supervised-Anomaly-Detection | e84c28ce4dd28671d39752a7d21c674e05fcb495 | [
"MIT"
] | 5 | 2021-02-18T22:43:40.000Z | 2021-05-03T14:01:49.000Z | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import time
import logging
from sklearn.metrics import roc_auc_score
from sklearn.cluster import KMeans
from sklearn.manifold import TSNE
from src.models.optim.Loss_Functions import DMSADLoss
from src.utils.utils import print_progessbar
... | 42.708455 | 123 | 0.558263 | 1,806 | 14,649 | 4.403101 | 0.170543 | 0.013204 | 0.019618 | 0.013833 | 0.34419 | 0.303949 | 0.265342 | 0.246605 | 0.246605 | 0.235538 | 0 | 0.009384 | 0.338044 | 14,649 | 342 | 124 | 42.833333 | 0.810663 | 0.309031 | 0 | 0.247059 | 0 | 0.005882 | 0.081267 | 0.009536 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.064706 | 0 | 0.111765 | 0.094118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f93b09d7873482279865a3e138f9e289b66d1ef0 | 7,600 | py | Python | escher/tests/test_plots.py | phantomas1234/escher | 47f3291beefd7cc90207755c717e83f385262956 | [
"MIT"
] | null | null | null | escher/tests/test_plots.py | phantomas1234/escher | 47f3291beefd7cc90207755c717e83f385262956 | [
"MIT"
] | null | null | null | escher/tests/test_plots.py | phantomas1234/escher | 47f3291beefd7cc90207755c717e83f385262956 | [
"MIT"
] | null | null | null | from __future__ import print_function, unicode_literals
from escher import __schema_version__
import escher.server
from escher import Builder, get_cache_dir, clear_cache
from escher.plots import (_load_resource, local_index, server_index,
model_json_for_name, map_json_for_name)
from escher.u... | 37.073171 | 133 | 0.644342 | 1,018 | 7,600 | 4.540275 | 0.191552 | 0.021203 | 0.023799 | 0.042406 | 0.44894 | 0.391173 | 0.338598 | 0.299654 | 0.290134 | 0.259844 | 0 | 0.020858 | 0.211447 | 7,600 | 204 | 134 | 37.254902 | 0.750375 | 0.046447 | 0 | 0.246835 | 0 | 0 | 0.22313 | 0.027147 | 0 | 0 | 0 | 0.004902 | 0.158228 | 1 | 0.107595 | false | 0 | 0.088608 | 0 | 0.196203 | 0.006329 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f94563e81861f76b57c556bc8928617eb8ac0410 | 19,471 | py | Python | symbol.py | LizhengMathAi/symbol_FEM | a2679ff90cfffa40316e33102be1a802e210768a | [
"Apache-2.0"
] | 1 | 2021-02-07T00:53:51.000Z | 2021-02-07T00:53:51.000Z | symbol.py | LizhengMathAi/symbol_FEM | a2679ff90cfffa40316e33102be1a802e210768a | [
"Apache-2.0"
] | null | null | null | symbol.py | LizhengMathAi/symbol_FEM | a2679ff90cfffa40316e33102be1a802e210768a | [
"Apache-2.0"
] | null | null | null | from functools import reduce
import numpy as np
from sparse import SparseTensor
def reduce_prod(seq): return reduce(lambda item_1, item_2: item_1 * item_2, seq)
class Polynomial:
def __init__(self, coeff, indices, merge=True):
"""\\sum_{i=0}^{N-1} coeff[i] \\Pi_{j=0}^{NV-1} x_j^{indices[i, j]}"""
... | 49.544529 | 137 | 0.558472 | 2,684 | 19,471 | 3.889717 | 0.069672 | 0.039655 | 0.018103 | 0.022989 | 0.590805 | 0.517241 | 0.483621 | 0.456513 | 0.449425 | 0.435824 | 0 | 0.029213 | 0.240512 | 19,471 | 392 | 138 | 49.670918 | 0.676765 | 0.126547 | 0 | 0.271062 | 0 | 0.025641 | 0.066955 | 0.008414 | 0 | 0 | 0 | 0.002551 | 0.007326 | 1 | 0.098901 | false | 0 | 0.010989 | 0.029304 | 0.197802 | 0.150183 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f94e553843e7ec006e6711f29cd3c8bedc298b1e | 18,184 | py | Python | pfstats.py | altinukshini/pfstats | 90137cdfdc7c5ae72b782c3fc113d56231e2667d | [
"MIT"
] | 18 | 2017-09-03T19:59:08.000Z | 2022-02-02T11:59:48.000Z | pfstats.py | altinukshini/pfstats | 90137cdfdc7c5ae72b782c3fc113d56231e2667d | [
"MIT"
] | 3 | 2018-04-23T14:09:47.000Z | 2020-09-30T10:26:16.000Z | pfstats.py | altinukshini/pfstats | 90137cdfdc7c5ae72b782c3fc113d56231e2667d | [
"MIT"
] | 14 | 2017-09-03T19:59:10.000Z | 2022-03-15T12:19:57.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Postfix mail log parser and filter.
This script filters and parses Postfix logs based on provided filter parameters.
Example:
To use this script type 'python pfstats.py -h'. Below is an example
that filteres postfix log file (even gziped) based on date,
se... | 31.460208 | 144 | 0.592444 | 2,245 | 18,184 | 4.606236 | 0.138976 | 0.042549 | 0.012571 | 0.013828 | 0.372208 | 0.290204 | 0.247268 | 0.213616 | 0.165458 | 0.158689 | 0 | 0.002851 | 0.267048 | 18,184 | 577 | 145 | 31.514731 | 0.773034 | 0.179333 | 0 | 0.165493 | 0 | 0.003521 | 0.163503 | 0.013132 | 0 | 0 | 0 | 0.001733 | 0 | 1 | 0.073944 | false | 0 | 0.035211 | 0 | 0.161972 | 0.038732 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9576382290725337f6455bafa4ade3618c4bd12 | 8,349 | py | Python | pod.py | ddh0/pod | 5c630f609db6d4e2d6704874144faf9fe64ee15b | [
"MIT"
] | 1 | 2020-11-20T16:35:07.000Z | 2020-11-20T16:35:07.000Z | pod.py | ddh0/pod | 5c630f609db6d4e2d6704874144faf9fe64ee15b | [
"MIT"
] | null | null | null | pod.py | ddh0/pod | 5c630f609db6d4e2d6704874144faf9fe64ee15b | [
"MIT"
] | null | null | null | # Program that downloads all episodes of a podcast
# Features
# -- Functions: add, remove, update
# - Run the file to update without having to use python interpreter
# - Download all episodes of a podcast, put into the correct folder
# - Tag each file with metadata from the feed and the stored config
import os
... | 39.947368 | 177 | 0.548928 | 979 | 8,349 | 4.587334 | 0.28907 | 0.04008 | 0.016032 | 0.022267 | 0.114006 | 0.046315 | 0.024939 | 0.024939 | 0.024939 | 0.024939 | 0 | 0.01247 | 0.346868 | 8,349 | 208 | 178 | 40.139423 | 0.811113 | 0.21811 | 0 | 0.03125 | 0 | 0.007813 | 0.207493 | 0.025456 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039063 | false | 0 | 0.054688 | 0 | 0.101563 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9577ac9ab9b2574ecfc469b539a86e4c283b783 | 1,954 | py | Python | threading_ext/RecordingThread.py | Antoine-BL/chess-ai.py | c68ca76063c14b1b8b91d338c8cead9f411521ca | [
"MIT"
] | 2 | 2019-08-21T15:52:29.000Z | 2021-09-11T23:07:17.000Z | threading_ext/RecordingThread.py | Antoine-BL/chess-ai.py | c68ca76063c14b1b8b91d338c8cead9f411521ca | [
"MIT"
] | 5 | 2020-09-25T23:15:31.000Z | 2022-02-10T00:07:33.000Z | threading_ext/RecordingThread.py | Antoine-BL/EuroTruck-ai.py | c68ca76063c14b1b8b91d338c8cead9f411521ca | [
"MIT"
] | null | null | null | import time
import numpy as np
import cv2
from mss import mss
from threading_ext.GameRecorder import GameRecorder
from threading_ext.PausableThread import PausableThread
class RecordingThread(PausableThread):
def __init__(self, training_data_path: str, session_number: int, recorder: GameRecorder):
supe... | 33.689655 | 96 | 0.619754 | 244 | 1,954 | 4.704918 | 0.336066 | 0.125436 | 0.15331 | 0.052265 | 0.172474 | 0.059233 | 0.059233 | 0 | 0 | 0 | 0 | 0.035361 | 0.276356 | 1,954 | 57 | 97 | 34.280702 | 0.776521 | 0 | 0 | 0.069767 | 0 | 0 | 0.028659 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116279 | false | 0 | 0.139535 | 0 | 0.27907 | 0.069767 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f957da3a4215ef9104b40d885730febc525fd16f | 638 | py | Python | multicast/mtc_recv.py | Tatchakorn/Multi-threaded-Server- | d5502a3da942e06736d07efc8d64186bc03a23d7 | [
"Beerware"
] | 2 | 2021-11-11T12:14:35.000Z | 2021-12-07T15:03:41.000Z | multicast/mtc_recv.py | Tatchakorn/Multi-threaded-Server- | d5502a3da942e06736d07efc8d64186bc03a23d7 | [
"Beerware"
] | null | null | null | multicast/mtc_recv.py | Tatchakorn/Multi-threaded-Server- | d5502a3da942e06736d07efc8d64186bc03a23d7 | [
"Beerware"
] | null | null | null | #! /usr/bin/python3
import threading
import socket
from test import create_upd_clients
from client import multicast_receive
def test_multicast_receive():
clients = create_upd_clients(3)
def run(client: socket.socket) -> None:
multicast_receive(client)
threads = [threading.Thread(name=f'clien... | 24.538462 | 84 | 0.652038 | 83 | 638 | 4.783133 | 0.53012 | 0.161209 | 0.080605 | 0.065491 | 0.070529 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006135 | 0.233542 | 638 | 26 | 85 | 24.538462 | 0.805726 | 0.028213 | 0 | 0 | 0 | 0 | 0.06129 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.210526 | 0 | 0.315789 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f958f1f208280fca2b61c5a648551399de305a52 | 2,135 | py | Python | train/name_test.py | csgwon/dl-pipeline | 5ac2cdafe0daac675d3f3e810918133de3466f8a | [
"Apache-2.0"
] | 7 | 2018-06-26T13:09:12.000Z | 2020-07-15T18:18:38.000Z | train/name_test.py | csgwon/dl-pipeline | 5ac2cdafe0daac675d3f3e810918133de3466f8a | [
"Apache-2.0"
] | null | null | null | train/name_test.py | csgwon/dl-pipeline | 5ac2cdafe0daac675d3f3e810918133de3466f8a | [
"Apache-2.0"
] | 1 | 2018-08-30T19:51:08.000Z | 2018-08-30T19:51:08.000Z | from tools import *
from model import *
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
class NamesDataset(Dataset):
"""Name Classification dataset"""
def __init__(self, path):
self.data = pd.read_c... | 32.348485 | 109 | 0.635597 | 281 | 2,135 | 4.633452 | 0.377224 | 0.067588 | 0.043011 | 0.02765 | 0.057604 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007348 | 0.235129 | 2,135 | 65 | 110 | 32.846154 | 0.789957 | 0.054801 | 0 | 0.039216 | 0 | 0 | 0.044776 | 0.014925 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0 | 0.156863 | 0.019608 | 0.313725 | 0.019608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f95de109f7f76174c635351d3c9d2f28ebfb7d06 | 3,651 | py | Python | descartes_rpa/fetch/descartes.py | reactome/descartes | 7e7f21c5ccdf42b867db9e68fe0cb7a17d06fb25 | [
"Apache-2.0"
] | 2 | 2021-08-02T18:09:07.000Z | 2022-01-18T08:29:59.000Z | descartes_rpa/fetch/descartes.py | reactome/descartes | 7e7f21c5ccdf42b867db9e68fe0cb7a17d06fb25 | [
"Apache-2.0"
] | 5 | 2021-06-22T22:27:23.000Z | 2021-08-04T02:04:09.000Z | descartes_rpa/fetch/descartes.py | reactome/descartes_rpa | 7e7f21c5ccdf42b867db9e68fe0cb7a17d06fb25 | [
"Apache-2.0"
] | null | null | null | import requests
import shutil
import pandas as pd
from typing import Dict, List
def fetch_descartes_human_tissue(out_file: str, verbose: bool = True) -> None:
"""Function to fetch Loom Single-Cell tissue data from
Descartes human database.
Args:
out_file: Output file that is going to store .loom... | 30.940678 | 78 | 0.621747 | 462 | 3,651 | 4.751082 | 0.292208 | 0.038269 | 0.031891 | 0.027335 | 0.525285 | 0.499772 | 0.476082 | 0.446469 | 0.397267 | 0.397267 | 0 | 0.015072 | 0.273076 | 3,651 | 117 | 79 | 31.205128 | 0.811982 | 0.314434 | 0 | 0.3125 | 0 | 0 | 0.338962 | 0.102153 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046875 | false | 0 | 0.0625 | 0 | 0.125 | 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 |
f96072c2c69a90c36b742be295db7b6791bf37ec | 1,173 | py | Python | src/Support/Scripts/AlignOperators.py | bobthecow/ManipulateCoda | 5a0e03fb535cfc623070ddd44a9e09d34d313193 | [
"MIT"
] | 5 | 2015-01-05T21:44:18.000Z | 2017-09-08T09:31:44.000Z | src/Support/Scripts/AlignOperators.py | bobthecow/ManipulateCoda | 5a0e03fb535cfc623070ddd44a9e09d34d313193 | [
"MIT"
] | 3 | 2015-01-06T15:21:58.000Z | 2019-04-09T12:03:13.000Z | src/Support/Scripts/AlignOperators.py | bobthecow/ManipulateCoda | 5a0e03fb535cfc623070ddd44a9e09d34d313193 | [
"MIT"
] | null | null | null | '''Line up operators...'''
import cp_actions as cp
import re
def act(controller, bundle, options):
'''
Required action method
'''
context = cp.get_context(controller)
line_ending = cp.get_line_ending(context)
lines, range = cp.lines_and_range(context)
newlines = line_ending.join(balance_... | 27.27907 | 146 | 0.546462 | 142 | 1,173 | 4.408451 | 0.387324 | 0.105431 | 0.08147 | 0.044728 | 0.121406 | 0.121406 | 0.121406 | 0.121406 | 0.121406 | 0.121406 | 0 | 0.006818 | 0.249787 | 1,173 | 43 | 147 | 27.27907 | 0.704545 | 0.036658 | 0 | 0.222222 | 0 | 0 | 0.085586 | 0.084685 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.074074 | 0 | 0.185185 | 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 |
f9635ddcc69eb4603c2a017bb384ecbb61ddeafe | 1,333 | py | Python | continuous-variables/literature-code-in-python/random_reaction_gen.py | YANGZ001/OrganicChem-LabMate-AI | fb826d85dd852aab987b9bef6856d8da6a4bd9be | [
"MIT"
] | null | null | null | continuous-variables/literature-code-in-python/random_reaction_gen.py | YANGZ001/OrganicChem-LabMate-AI | fb826d85dd852aab987b9bef6856d8da6a4bd9be | [
"MIT"
] | null | null | null | continuous-variables/literature-code-in-python/random_reaction_gen.py | YANGZ001/OrganicChem-LabMate-AI | fb826d85dd852aab987b9bef6856d8da6a4bd9be | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import itertools
'''
Section below creates lists for your reaction parameters. Change names of lists where appropriate
'''
#For bigger lists use np.arange(min_value, max_value, step)
Pyridine = [0.1, 0.2, 0.3] # in mmol
Aldehyde = [0.1, 0.2, 0.3] # in mmol
Isocyanide = [0.1, 0.... | 37.027778 | 150 | 0.701425 | 212 | 1,333 | 4.349057 | 0.443396 | 0.010846 | 0.013015 | 0.013015 | 0.249458 | 0.249458 | 0.249458 | 0.18872 | 0.149675 | 0.149675 | 0 | 0.060124 | 0.151538 | 1,333 | 35 | 151 | 38.085714 | 0.755084 | 0.084021 | 0 | 0 | 0 | 0 | 0.184729 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.1875 | 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 |
f9686a6e64b3ada450c52aa9db27ba394fa0f073 | 2,241 | py | Python | mechroutines/es/newts/_fs.py | keceli/mechdriver | 978994ba5c77b6df00078b639c4482dacf269440 | [
"Apache-2.0"
] | null | null | null | mechroutines/es/newts/_fs.py | keceli/mechdriver | 978994ba5c77b6df00078b639c4482dacf269440 | [
"Apache-2.0"
] | null | null | null | mechroutines/es/newts/_fs.py | keceli/mechdriver | 978994ba5c77b6df00078b639c4482dacf269440 | [
"Apache-2.0"
] | 8 | 2019-12-18T20:09:46.000Z | 2020-11-14T16:37:28.000Z | """ rpath task function
"""
from mechlib import filesys
from mechlib.filesys import build_fs
from mechlib.filesys import root_locs
def rpath_fs(ts_dct, tsname,
mod_ini_thy_info,
es_keyword_dct,
run_prefix, save_prefix):
""" reaction path filesystem
"""
# Set up coo... | 33.954545 | 70 | 0.646586 | 345 | 2,241 | 3.805797 | 0.26087 | 0.053313 | 0.031988 | 0.053313 | 0.309216 | 0.284844 | 0.266565 | 0.223915 | 0.182788 | 0.182788 | 0 | 0.006072 | 0.26506 | 2,241 | 65 | 71 | 34.476923 | 0.791135 | 0.203481 | 0 | 0.2 | 0 | 0 | 0.038593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.075 | 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 |
f968be6f1cca8629346c90e2699c898d9571ac20 | 1,361 | py | Python | computation/listallfiles.py | thirschbuechler/didactic-barnacles | 88d0a2b572aacb2cb45e68bb4f05fa5273224439 | [
"MIT"
] | null | null | null | computation/listallfiles.py | thirschbuechler/didactic-barnacles | 88d0a2b572aacb2cb45e68bb4f05fa5273224439 | [
"MIT"
] | null | null | null | computation/listallfiles.py | thirschbuechler/didactic-barnacles | 88d0a2b572aacb2cb45e68bb4f05fa5273224439 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 29 14:38:54 2020
@author: https://stackoverflow.com/questions/18262293/how-to-open-every-file-in-a-folder
"""
import os #os module imported here
location = os.getcwd() # get present working directory location here
counter = 0 #keep a count of all files found
csvf... | 34.897436 | 100 | 0.603968 | 179 | 1,361 | 4.592179 | 0.502793 | 0.060827 | 0.087591 | 0.092457 | 0.160584 | 0.160584 | 0.160584 | 0.160584 | 0.160584 | 0.160584 | 0 | 0.026971 | 0.291697 | 1,361 | 39 | 101 | 34.897436 | 0.825726 | 0.336517 | 0 | 0.285714 | 0 | 0 | 0.12691 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.035714 | 0 | 0.035714 | 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 |
f96a73f7ebbc6d2b474f86a30e29cb3233db9724 | 5,317 | py | Python | rootfs/api/apps_extra/social_core/actions.py | jianxiaoguo/controller | 8cc1e11601e5725e583f0fa82cdb2c10872ca485 | [
"Apache-2.0"
] | null | null | null | rootfs/api/apps_extra/social_core/actions.py | jianxiaoguo/controller | 8cc1e11601e5725e583f0fa82cdb2c10872ca485 | [
"Apache-2.0"
] | 19 | 2020-07-30T06:31:29.000Z | 2022-03-14T07:33:44.000Z | rootfs/api/apps_extra/social_core/actions.py | jianxiaoguo/controller | 8cc1e11601e5725e583f0fa82cdb2c10872ca485 | [
"Apache-2.0"
] | 9 | 2020-07-30T02:50:12.000Z | 2020-12-11T06:44:19.000Z | from urllib.parse import quote
from social_core.utils import sanitize_redirect, user_is_authenticated, \
user_is_active, partial_pipeline_data, setting_url
def do_auth(backend, redirect_name='next'):
# Save any defined next value into session
data = backend.strategy.request_data(merge=Fals... | 42.536 | 86 | 0.618018 | 623 | 5,317 | 5.025682 | 0.213483 | 0.05749 | 0.030661 | 0.038326 | 0.331523 | 0.292239 | 0.261897 | 0.261897 | 0.210157 | 0.159693 | 0 | 0.00369 | 0.28644 | 5,317 | 124 | 87 | 42.879032 | 0.82156 | 0.094414 | 0 | 0.27551 | 0 | 0 | 0.106808 | 0.030606 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030612 | false | 0 | 0.05102 | 0 | 0.122449 | 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 |
f96c7c015c3ad71d48f4085619b3a3dcae5954cc | 1,667 | py | Python | Part_1/src/manual_split_test/make_paired_cases.py | Bhaskers-Blu-Org2/datascience4managers | 2410182fe6913a8c986d2f28f5db6850cddb75f2 | [
"MIT"
] | 8 | 2019-11-24T08:23:12.000Z | 2021-01-19T02:48:46.000Z | Part_1/src/manual_split_test/make_paired_cases.py | Bhaskers-Blu-Org2/datascience4managers | 2410182fe6913a8c986d2f28f5db6850cddb75f2 | [
"MIT"
] | 1 | 2021-06-02T02:05:15.000Z | 2021-06-02T02:05:15.000Z | Part_1/src/manual_split_test/make_paired_cases.py | microsoft/datascience4managers | 7c332bf23a85f281237c841e1981ab21ed4ca072 | [
"MIT"
] | 9 | 2019-10-29T18:45:36.000Z | 2021-03-27T07:23:13.000Z | #!/usr/bin/python
# Oct 2019 JMA
# make_samples.py Use the splits_aggregator module to create samples
'''
Write a short description of what the program does here.
Usage:
$ ./make_samples.py [-v] [-d ROOT_DIR] [-c pair_cnt]
-v verbose output
-d data directory to read from
-c number of randomly ... | 24.880597 | 80 | 0.515297 | 207 | 1,667 | 4 | 0.497585 | 0.076087 | 0.032609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008765 | 0.247151 | 1,667 | 67 | 81 | 24.880597 | 0.650996 | 0.214757 | 0 | 0 | 0 | 0 | 0.091542 | 0.020896 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0.027778 | 0.25 | 0 | 0.305556 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f96ed484656fab8971f82e7e48fafd3dcd557e30 | 2,393 | py | Python | aerosandbox/tools/miscellaneous.py | SzymonSzyszko/AeroSandbox | d4084899b665f735c1ec218282b2e4aee08eacff | [
"MIT"
] | null | null | null | aerosandbox/tools/miscellaneous.py | SzymonSzyszko/AeroSandbox | d4084899b665f735c1ec218282b2e4aee08eacff | [
"MIT"
] | null | null | null | aerosandbox/tools/miscellaneous.py | SzymonSzyszko/AeroSandbox | d4084899b665f735c1ec218282b2e4aee08eacff | [
"MIT"
] | null | null | null | import math
import numpy as np
def eng_string(x, format='%.3g', si=True):
'''
Taken from: https://stackoverflow.com/questions/17973278/python-decimal-engineering-notation-for-mili-10e-3-and-micro-10e-6/40691220
Returns float/int value <x> formatted in a simplified engineering format -
using an expone... | 28.488095 | 136 | 0.600501 | 349 | 2,393 | 4.063037 | 0.467049 | 0.005642 | 0.03385 | 0.042313 | 0.01763 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070366 | 0.269536 | 2,393 | 83 | 137 | 28.831325 | 0.740847 | 0.497284 | 0 | 0 | 0 | 0 | 0.029493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.142857 | 0 | 0.257143 | 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 |
f974a73c7d07887b66165d4b3f68128150448a37 | 530 | py | Python | setup.py | Moi-Teaching-Referral-Hospital/ERPNextMTRHModifications | 393cef3294d6b07f2c7ff21899c99a82276be43f | [
"MIT"
] | null | null | null | setup.py | Moi-Teaching-Referral-Hospital/ERPNextMTRHModifications | 393cef3294d6b07f2c7ff21899c99a82276be43f | [
"MIT"
] | 1 | 2021-01-09T20:00:38.000Z | 2021-01-09T20:00:38.000Z | setup.py | Moi-Teaching-Referral-Hospital/mtrh_dev | 367af3922d0fe0c19e35b0edd999dfc42f9a225b | [
"MIT"
] | 2 | 2020-07-28T22:22:04.000Z | 2020-08-16T16:12:56.000Z | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('requirements.txt') as f:
install_requires = f.read().strip().split('\n')
# get version from __version__ variable in mtrh_dev/__init__.py
from mtrh_dev import __version__ as version
setup(
name='mtrh_dev',
version=version,
description=... | 25.238095 | 65 | 0.762264 | 76 | 530 | 5 | 0.644737 | 0.073684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002137 | 0.116981 | 530 | 20 | 66 | 26.5 | 0.809829 | 0.156604 | 0 | 0 | 0 | 0 | 0.209459 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 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 |
f974ccb0279e3323702f280c06f3f6d71a27a8f5 | 23,062 | py | Python | tools/programController.py | brewpi-remix/uno-test | a153a5277bea2a8e58ee479792d6977f0beb853e | [
"MIT"
] | null | null | null | tools/programController.py | brewpi-remix/uno-test | a153a5277bea2a8e58ee479792d6977f0beb853e | [
"MIT"
] | null | null | null | tools/programController.py | brewpi-remix/uno-test | a153a5277bea2a8e58ee479792d6977f0beb853e | [
"MIT"
] | 1 | 2021-07-31T15:23:07.000Z | 2021-07-31T15:23:07.000Z | #!/usr/bin/env python3
import subprocess as sub
import time
import simplejson as json
import os
from sys import stderr
import subprocess
import platform
import sys
import stat
import pwd
import grp
import BrewPiUtil as util
import brewpiVersion
import expandLogMessage
from packaging import version
from MigrateSettings... | 37.683007 | 146 | 0.588674 | 2,485 | 23,062 | 5.396378 | 0.222938 | 0.013572 | 0.004027 | 0.008203 | 0.190231 | 0.15384 | 0.125653 | 0.108352 | 0.085533 | 0.085533 | 0 | 0.013253 | 0.312939 | 23,062 | 611 | 147 | 37.744681 | 0.83307 | 0.109314 | 0 | 0.258206 | 0 | 0 | 0.13824 | 0.002791 | 0 | 0 | 0.001567 | 0 | 0 | 1 | 0.078775 | false | 0.002188 | 0.037199 | 0.002188 | 0.210066 | 0.113786 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f975435861ec73bfce0399c6d6ca18e0c1beb891 | 10,086 | py | Python | common/hil_slurm_helpers.py | mghpcc-projects/user_level_slurm_reservations | eae56588bb00abfe043714317a27481e036fcc29 | [
"MIT"
] | null | null | null | common/hil_slurm_helpers.py | mghpcc-projects/user_level_slurm_reservations | eae56588bb00abfe043714317a27481e036fcc29 | [
"MIT"
] | 11 | 2017-09-14T17:21:31.000Z | 2021-06-01T21:48:47.000Z | common/hil_slurm_helpers.py | mghpcc-projects/user_level_slurm_reservations | eae56588bb00abfe043714317a27481e036fcc29 | [
"MIT"
] | 3 | 2017-08-16T13:54:40.000Z | 2018-01-10T19:26:59.000Z | """
MassOpenCloud / Hardware Isolation Layer (MOC/HIL)
Slurm and *NX Subprocess Command Helpers
May 2017, Tim Donahue tpd001@gmail.com
"""
import os
from pwd import getpwnam, getpwuid
from subprocess import Popen, PIPE
from time import time
from hil_slurm_constants import (HIL_RESNAME_PREFIX, HIL_RESNAME_FIELD_SEPA... | 31.716981 | 98 | 0.65348 | 1,327 | 10,086 | 4.731726 | 0.186134 | 0.039815 | 0.026756 | 0.035037 | 0.216117 | 0.137761 | 0.113235 | 0.091575 | 0.065934 | 0.059564 | 0 | 0.002394 | 0.254412 | 10,086 | 317 | 99 | 31.817035 | 0.83258 | 0.262443 | 0 | 0.1875 | 0 | 0 | 0.092642 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.00625 | 0.04375 | 0 | 0.26875 | 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 |
f97830507a9e81ba352de5e77becd93d7de239ce | 1,112 | py | Python | tests/test_statsutils.py | ofek/boltons | 395f690f4a24331c4554e2169ac18a15955a4eab | [
"BSD-3-Clause"
] | 6,058 | 2015-03-18T16:44:39.000Z | 2022-03-28T08:42:16.000Z | tests/test_statsutils.py | ofek/boltons | 395f690f4a24331c4554e2169ac18a15955a4eab | [
"BSD-3-Clause"
] | 289 | 2015-04-09T23:09:24.000Z | 2022-03-30T00:29:33.000Z | tests/test_statsutils.py | ofek/boltons | 395f690f4a24331c4554e2169ac18a15955a4eab | [
"BSD-3-Clause"
] | 407 | 2015-04-09T20:09:15.000Z | 2022-03-30T10:43:22.000Z | # -*- coding: utf-8 -*-
from boltons.statsutils import Stats
def test_stats_basic():
da = Stats(range(20))
assert da.mean == 9.5
assert round(da.std_dev, 2) == 5.77
assert da.variance == 33.25
assert da.skewness == 0
assert round(da.kurtosis, 1) == 1.9
assert da.median == 9.5
def _test_p... | 32.705882 | 115 | 0.615108 | 168 | 1,112 | 3.982143 | 0.392857 | 0.052317 | 0.09417 | 0.098655 | 0.218236 | 0.218236 | 0.080717 | 0 | 0 | 0 | 0 | 0.056355 | 0.25 | 1,112 | 33 | 116 | 33.69697 | 0.745803 | 0.393885 | 0 | 0 | 0 | 0 | 0.019697 | 0 | 0 | 0 | 0 | 0 | 0.315789 | 1 | 0.157895 | false | 0 | 0.157895 | 0 | 0.368421 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f979feef783a84ff7f70e9da364235d7c960d2cb | 1,018 | py | Python | funcs.py | pgDora56/shinyintro | 15cc153106ebd88a5f73801f2bf0bef52d37cdab | [
"MIT"
] | null | null | null | funcs.py | pgDora56/shinyintro | 15cc153106ebd88a5f73801f2bf0bef52d37cdab | [
"MIT"
] | null | null | null | funcs.py | pgDora56/shinyintro | 15cc153106ebd88a5f73801f2bf0bef52d37cdab | [
"MIT"
] | null | null | null | import os
import pprint
import json
import random
accept = False
colors = {
"Vo": "#e05ab4",
"Da": "#59afe1",
"Vi": "#e0e05a"
}
with open('idols.json') as f:
idols = (json.load(f))["idols"] # Insert 23 data
def pick(msg):
global accept
if not accept:
print("Not accept")
retu... | 18.851852 | 72 | 0.54224 | 128 | 1,018 | 4.273438 | 0.523438 | 0.060329 | 0.036563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016506 | 0.285855 | 1,018 | 53 | 73 | 19.207547 | 0.735901 | 0.013752 | 0 | 0.116279 | 0 | 0 | 0.201798 | 0.022977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.093023 | 0 | 0.186047 | 0.139535 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f97c2537579109b781456eb2fe785026c3ea5e59 | 10,782 | py | Python | UWBsim/interface/plot_widgets.py | kianheus/uwb-simulator | 888cdcae0d4ca101970971afbdf0113ba3bb1480 | [
"MIT"
] | 2 | 2021-08-25T03:27:06.000Z | 2021-09-26T05:08:19.000Z | UWBsim/interface/plot_widgets.py | kianheus/uwb-simulator | 888cdcae0d4ca101970971afbdf0113ba3bb1480 | [
"MIT"
] | null | null | null | UWBsim/interface/plot_widgets.py | kianheus/uwb-simulator | 888cdcae0d4ca101970971afbdf0113ba3bb1480 | [
"MIT"
] | 1 | 2021-07-17T10:59:15.000Z | 2021-07-17T10:59:15.000Z | """Plot Widgets for the UWB Simulation GUI
This file contains several plot widgets that can be used to plot
simulation data in real time and redraw the plots with matplotlib for
better quality.
Classes:
QLivePlot: Base class for real time plots
QLivePlot_Groundtrack: Real time plot for groundtrack
QLiveP... | 34.66881 | 126 | 0.516602 | 1,363 | 10,782 | 3.96405 | 0.142333 | 0.069591 | 0.071072 | 0.026652 | 0.634277 | 0.602258 | 0.566907 | 0.544512 | 0.486026 | 0.433463 | 0 | 0.021712 | 0.333612 | 10,782 | 311 | 127 | 34.66881 | 0.730271 | 0.099518 | 0 | 0.578947 | 0 | 0 | 0.046413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065789 | false | 0.004386 | 0.02193 | 0.004386 | 0.114035 | 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 |
f97ca4c83d65c548b29075ec69330e20d6ca30b3 | 1,018 | py | Python | scripts/plot_summary_stats.py | JackKelly/slicedpy | c2fa7eb4c7b7374f8192a43d8e617b63c9e25e62 | [
"Apache-2.0"
] | 3 | 2017-02-03T22:05:25.000Z | 2017-08-29T19:06:17.000Z | scripts/plot_summary_stats.py | JackKelly/slicedpy | c2fa7eb4c7b7374f8192a43d8e617b63c9e25e62 | [
"Apache-2.0"
] | null | null | null | scripts/plot_summary_stats.py | JackKelly/slicedpy | c2fa7eb4c7b7374f8192a43d8e617b63c9e25e62 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from pda.dataset import init_aggregate_and_appliance_dataset_figure
import matplotlib.pyplot as plt
from scipy.stats import *
import numpy as np
subplots, chan = init_aggregate_and_appliance_dataset_figure(
start_date='2013/6/4 10:00', end_date='2013/6/4 13:30',
n_subplots=2, date_format... | 28.277778 | 73 | 0.656189 | 151 | 1,018 | 4.291391 | 0.509934 | 0.037037 | 0.049383 | 0.07716 | 0.175926 | 0.117284 | 0 | 0 | 0 | 0 | 0 | 0.032105 | 0.17387 | 1,018 | 35 | 74 | 29.085714 | 0.738407 | 0.019646 | 0 | 0 | 0 | 0 | 0.104313 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148148 | 0 | 0.148148 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f97cacad56a833075fdbf1486e99e188f8024b55 | 2,691 | py | Python | sciibo/network/connection.py | fdev/sciibo | 984ec1945cd0f371bce148c1eb1e811befadb478 | [
"MIT"
] | 14 | 2017-06-16T14:16:57.000Z | 2021-02-26T13:53:56.000Z | sciibo/network/connection.py | fdev/sciibo | 984ec1945cd0f371bce148c1eb1e811befadb478 | [
"MIT"
] | 1 | 2018-06-27T16:11:48.000Z | 2019-01-23T12:02:17.000Z | sciibo/network/connection.py | fdev/sciibo | 984ec1945cd0f371bce148c1eb1e811befadb478 | [
"MIT"
] | null | null | null | import socket
import json
import struct
from sciibo.core.helpers import Queue
from .thread import SocketThread
class ConnectionThread(SocketThread):
def __init__(self, sock):
super(ConnectionThread, self).__init__()
self.sock = sock
# The number of bytes we are expecting
self.exp... | 27.459184 | 84 | 0.544036 | 290 | 2,691 | 5.003448 | 0.341379 | 0.060648 | 0.033081 | 0.030324 | 0.213646 | 0.213646 | 0.170917 | 0.170917 | 0.170917 | 0.170917 | 0 | 0.000587 | 0.36715 | 2,691 | 97 | 85 | 27.742268 | 0.851439 | 0.159792 | 0 | 0.47619 | 0 | 0 | 0.016021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.079365 | 0 | 0.301587 | 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 |
f97d02d723f0a4441c6c06372a7158427073778d | 2,651 | py | Python | libs/PieMeter.py | lionheart/TimeTracker-Linux | 64405d53fd12d2593ef4879b867ff38a4d5b9ca9 | [
"MIT"
] | 12 | 2015-02-06T19:06:49.000Z | 2019-09-24T17:58:17.000Z | libs/PieMeter.py | lionheart/TimeTracker-Linux | 64405d53fd12d2593ef4879b867ff38a4d5b9ca9 | [
"MIT"
] | null | null | null | libs/PieMeter.py | lionheart/TimeTracker-Linux | 64405d53fd12d2593ef4879b867ff38a4d5b9ca9 | [
"MIT"
] | 6 | 2015-11-22T01:58:31.000Z | 2019-11-04T22:56:38.000Z | # Copyright (C) 2008 Jimmy Do <jimmydo@users.sourceforge.net>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This... | 33.987179 | 97 | 0.626556 | 378 | 2,651 | 4.277778 | 0.378307 | 0.009895 | 0.029685 | 0.03525 | 0.213358 | 0.18491 | 0.138528 | 0.138528 | 0.138528 | 0.138528 | 0 | 0.035454 | 0.276499 | 2,651 | 77 | 98 | 34.428571 | 0.807612 | 0.296115 | 0 | 0.177778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.066667 | 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 |
f97d4fd046debdeff0094ec80a682b86eb50db54 | 6,192 | py | Python | examples/pinball.py | jgrigonis/arcade | 9b624da7da52e3909f6e82c552446b90249041f1 | [
"MIT"
] | 1 | 2021-05-23T20:30:46.000Z | 2021-05-23T20:30:46.000Z | examples/pinball.py | jgrigonis/arcade | 9b624da7da52e3909f6e82c552446b90249041f1 | [
"MIT"
] | null | null | null | examples/pinball.py | jgrigonis/arcade | 9b624da7da52e3909f6e82c552446b90249041f1 | [
"MIT"
] | null | null | null | import arcade
import timeit
BALL_DRAG = 0.001
NO_FLIPPER = 0
FLIPPER_UP = 1
class MyApplication(arcade.Window):
""" Main application class. """
def __init__(self, width, height, resizable):
super().__init__(width, height, resizable=resizable)
self.sprite_list = arcade.SpriteList()
s... | 33.652174 | 138 | 0.55491 | 797 | 6,192 | 4.134253 | 0.186951 | 0.045524 | 0.063733 | 0.060698 | 0.618209 | 0.607587 | 0.511077 | 0.497724 | 0.443399 | 0.384522 | 0 | 0.066049 | 0.337371 | 6,192 | 183 | 139 | 33.836066 | 0.737022 | 0.055071 | 0 | 0.542636 | 0 | 0 | 0.046536 | 0.03959 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03876 | false | 0 | 0.015504 | 0 | 0.062016 | 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 |
f97e5968772769d07d1c5c3519564d5e93b96cb9 | 2,350 | py | Python | pygomas/pack.py | sfp932705/pygomas | 8cdd7e973b8b4e8de467803c106ec44ca6b8bd03 | [
"MIT"
] | 3 | 2019-06-20T08:55:36.000Z | 2019-07-04T14:10:40.000Z | pygomas/pack.py | sfp932705/pygomas | 8cdd7e973b8b4e8de467803c106ec44ca6b8bd03 | [
"MIT"
] | null | null | null | pygomas/pack.py | sfp932705/pygomas | 8cdd7e973b8b4e8de467803c106ec44ca6b8bd03 | [
"MIT"
] | null | null | null | import json
from loguru import logger
from .config import PERFORMATIVE, PERFORMATIVE_PACK, PERFORMATIVE_PACK_TAKEN, TEAM, X, Y, Z, NAME, ACTION, CREATE, \
TYPE
from .agent import AbstractAgent, LONG_RECEIVE_WAIT
from .vector import Vector3D
from spade.message import Message
from spade.behaviour import OneShotBehav... | 31.333333 | 116 | 0.635745 | 277 | 2,350 | 5.223827 | 0.306859 | 0.055978 | 0.058051 | 0.024879 | 0.078784 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013897 | 0.265106 | 2,350 | 74 | 117 | 31.756757 | 0.823972 | 0.009787 | 0 | 0.033898 | 0 | 0 | 0.028817 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0.033898 | 0.152542 | 0.016949 | 0.254237 | 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 |
f97e89c0eb4e106c1ec357be4b95f0207161d996 | 2,178 | py | Python | Utils/initialize.py | soshishimada/PhysCap_demo_release | 542756ed9ecdca77eda8b6b44ba2348253b999c3 | [
"Unlicense"
] | 62 | 2021-09-05T19:36:06.000Z | 2022-03-29T11:47:09.000Z | Utils/initialize.py | soshishimada/PhysCap_demo_release | 542756ed9ecdca77eda8b6b44ba2348253b999c3 | [
"Unlicense"
] | 4 | 2021-09-21T09:52:02.000Z | 2022-03-27T09:08:30.000Z | Utils/initialize.py | soshishimada/PhysCap_demo_release | 542756ed9ecdca77eda8b6b44ba2348253b999c3 | [
"Unlicense"
] | 10 | 2021-09-05T00:27:17.000Z | 2022-03-22T13:25:57.000Z | import numpy as np
import pybullet as p
class Initializer():
def __init__(self,floor_known=None,floor_frame_path=None,):
if floor_known:
self.RT = np.load(floor_frame_path)
else:
self.RT =np.eye(4)
self.rbdl2bullet = [0, 1, 2, 3, 4, 5, 6, 7, 8, ... | 34.571429 | 166 | 0.573462 | 363 | 2,178 | 3.129477 | 0.333333 | 0.026408 | 0.049296 | 0.052817 | 0.191901 | 0.142606 | 0.142606 | 0.059859 | 0 | 0 | 0 | 0.112058 | 0.299357 | 2,178 | 62 | 167 | 35.129032 | 0.632372 | 0.022039 | 0 | 0.040816 | 0 | 0 | 0.059223 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163265 | false | 0 | 0.040816 | 0.081633 | 0.367347 | 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 |
f97e91890c0cdcab8847df722787798324fca2ec | 3,220 | py | Python | nlptasks/padding.py | ulf1/nlptasks | 07d36448b517a18f76088f5d9cfb853e7602b079 | [
"Apache-2.0"
] | 2 | 2020-12-30T13:11:09.000Z | 2021-11-04T19:40:31.000Z | nlptasks/padding.py | ulf1/nlptasks | 07d36448b517a18f76088f5d9cfb853e7602b079 | [
"Apache-2.0"
] | 99 | 2020-11-02T14:58:04.000Z | 2021-04-09T18:01:34.000Z | nlptasks/padding.py | ulf1/nlptasks | 07d36448b517a18f76088f5d9cfb853e7602b079 | [
"Apache-2.0"
] | null | null | null | import tensorflow.keras as keras # pad_sequences
from pad_sequences import pad_sequences_adjacency
from pad_sequences import pad_sequences_sparse
def pad_idseqs(func):
def wrapper(*args, **kwargs):
# read and remove padding settings
maxlen = kwargs.pop('maxlen', None)
padding = kwargs.pop... | 34.255319 | 73 | 0.617081 | 367 | 3,220 | 5.310627 | 0.188011 | 0.055413 | 0.06157 | 0.087224 | 0.638276 | 0.560287 | 0.525398 | 0.525398 | 0.525398 | 0.463828 | 0 | 0 | 0.287578 | 3,220 | 93 | 74 | 34.623656 | 0.849608 | 0.131056 | 0 | 0.482759 | 0 | 0 | 0.047105 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.051724 | 0 | 0.327586 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f983fe925ecae418e3ac67726cae140e97825556 | 6,594 | py | Python | RainbowGrades/parsexml.py | hifiadi/Submitty | 62a8239313cff7e3f841ff66aeda6b0557e9c15b | [
"BSD-3-Clause"
] | 2 | 2017-10-11T17:48:33.000Z | 2020-12-15T16:05:05.000Z | RainbowGrades/parsexml.py | hifiadi/Submitty | 62a8239313cff7e3f841ff66aeda6b0557e9c15b | [
"BSD-3-Clause"
] | 4 | 2019-04-25T02:47:34.000Z | 2020-03-31T18:56:45.000Z | RainbowGrades/parsexml.py | hifiadi/Submitty | 62a8239313cff7e3f841ff66aeda6b0557e9c15b | [
"BSD-3-Clause"
] | 1 | 2020-02-07T19:19:20.000Z | 2020-02-07T19:19:20.000Z | #!/usr/bin/env python3
import csv
import xml.etree.ElementTree as ET
import sys
import os.path
class QuestionData:
final_answer = ""
final_answer_time = 0
first_answer = ""
attempts = 0
first_answer_time = 0
def __init__(self,final_answer,final_answer_time,attempts,first_answer,first_answer_t... | 44.554054 | 120 | 0.474826 | 665 | 6,594 | 4.506767 | 0.278195 | 0.063063 | 0.040374 | 0.051385 | 0.258258 | 0.167835 | 0.118452 | 0.046713 | 0.046713 | 0.046713 | 0 | 0.006307 | 0.42296 | 6,594 | 147 | 121 | 44.857143 | 0.78134 | 0.104489 | 0 | 0.252174 | 0 | 0 | 0.067326 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017391 | false | 0 | 0.034783 | 0 | 0.104348 | 0.026087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f98449b95d48df636ca504bf4073160f56093406 | 2,255 | py | Python | header.py | yufernando/inDelphi-app | 37938f7aaa1630fb80e7568d3d13472eedb76a6d | [
"FSFAP"
] | 13 | 2018-11-18T21:53:46.000Z | 2021-03-01T16:14:21.000Z | header.py | yufernando/inDelphi-app | 37938f7aaa1630fb80e7568d3d13472eedb76a6d | [
"FSFAP"
] | 2 | 2020-02-11T22:34:41.000Z | 2020-06-05T18:16:10.000Z | header.py | yufernando/inDelphi-app | 37938f7aaa1630fb80e7568d3d13472eedb76a6d | [
"FSFAP"
] | 3 | 2018-12-03T05:20:01.000Z | 2021-07-28T22:33:54.000Z | import dash
import dash_core_components as dcc
import dash_html_components as html
divider_text = ' • '
def get_navigation_header(page_nm):
font_size_param = 16
dot_style = dict(
color = 'gray',
fontSize = '%spx' % (font_size_param),
)
default_style = dict(
position = 'relativ... | 23.010204 | 59 | 0.446563 | 184 | 2,255 | 5.336957 | 0.380435 | 0.056008 | 0.118126 | 0.13442 | 0.248473 | 0.199593 | 0.199593 | 0.199593 | 0 | 0 | 0 | 0.005495 | 0.435033 | 2,255 | 98 | 60 | 23.010204 | 0.764521 | 0 | 0 | 0.438202 | 0 | 0 | 0.13988 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011236 | false | 0 | 0.044944 | 0 | 0.067416 | 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 |
f986bf3f2c420c696f6c53ea84f10ad7ccfa26ea | 1,526 | py | Python | demos/pandas/pandas_concat&append.py | szj2ys/deal_with_the_tasks_and_challenges | 94b9f4aad26c7e2ec5a59cf67e9e977bfa3d5221 | [
"Apache-2.0"
] | null | null | null | demos/pandas/pandas_concat&append.py | szj2ys/deal_with_the_tasks_and_challenges | 94b9f4aad26c7e2ec5a59cf67e9e977bfa3d5221 | [
"Apache-2.0"
] | null | null | null | demos/pandas/pandas_concat&append.py | szj2ys/deal_with_the_tasks_and_challenges | 94b9f4aad26c7e2ec5a59cf67e9e977bfa3d5221 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
#定义资料集
df1 = pd.DataFrame(np.ones((3, 4)) * 0, columns=['a', 'b', 'c', 'd'])
df2 = pd.DataFrame(np.ones((3, 4)) * 1, columns=['a', 'b', 'c', 'd'])
df3 = pd.DataFrame(np.ones((3, 4)) * 2, columns=['a', 'b', 'c', 'd'])
#concat纵向合并 axis=0纵向,axis=1横向
res = pd.concat([df1, df2, df3],... | 26.310345 | 69 | 0.593054 | 244 | 1,526 | 3.688525 | 0.25 | 0.022222 | 0.03 | 0.151111 | 0.598889 | 0.505556 | 0.438889 | 0.385556 | 0.327778 | 0.294444 | 0 | 0.062205 | 0.167759 | 1,526 | 57 | 70 | 26.77193 | 0.646457 | 0.201835 | 0 | 0.37931 | 0 | 0 | 0.038238 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068966 | 0 | 0.068966 | 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 |
f9873ed126ec1fdd07f8e281595ede0f1e5dfbf6 | 4,128 | py | Python | python-django/oauth2demo/oauth/core/oauthclient.py | SequencingDOTcom/oAuth2-demo | 609bd138cff07643a0c3e1df48f4f2e4adc9be34 | [
"MIT"
] | 1 | 2020-11-05T22:16:37.000Z | 2020-11-05T22:16:37.000Z | python-django/oauth2demo/oauth/core/oauthclient.py | SequencingDOTcom/oAuth2-demo | 609bd138cff07643a0c3e1df48f4f2e4adc9be34 | [
"MIT"
] | 3 | 2018-02-24T15:01:20.000Z | 2021-11-29T17:29:02.000Z | python-django/oauth2demo/oauth/core/oauthclient.py | SequencingDOTcom/oAuth2-demo | 609bd138cff07643a0c3e1df48f4f2e4adc9be34 | [
"MIT"
] | 3 | 2017-04-06T01:38:20.000Z | 2017-05-17T09:44:35.000Z | import urllib
import sched
import time
from threading import Thread
from token import Token
from ..utils.http import do_basic_secure_post
from ..exceptions.exceptions import BasicAuthenticationFailedException
class DefaultSequencingOAuth2Client(object):
# Attribute for value of redirect url
ATTR_REDIRECT_UR... | 34.115702 | 96 | 0.678537 | 480 | 4,128 | 5.520833 | 0.18125 | 0.076981 | 0.108679 | 0.031698 | 0.344906 | 0.323774 | 0.28 | 0.28 | 0.28 | 0.207547 | 0 | 0.001929 | 0.246609 | 4,128 | 120 | 97 | 34.4 | 0.850161 | 0.073401 | 0 | 0.148148 | 0 | 0 | 0.053487 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.08642 | 0.012346 | 0.395062 | 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 |
f987b372c8da570186369c27352bfdc8a2dc0b25 | 1,019 | py | Python | commands/elastic/utils.py | surfedushare/search-portal | f5486d6b07b7b04a46ce707cee5174db4f8da222 | [
"MIT"
] | 2 | 2021-08-19T09:40:59.000Z | 2021-12-14T11:08:20.000Z | commands/elastic/utils.py | surfedushare/search-portal | 708a0d05eee13c696ca9abd7e84ab620d3900fbe | [
"MIT"
] | 159 | 2020-05-14T14:17:34.000Z | 2022-03-23T10:28:13.000Z | commands/elastic/utils.py | nppo/search-portal | aedf21e334f178c049f9d6cf37cafd6efc07bc0d | [
"MIT"
] | 1 | 2021-11-11T13:37:22.000Z | 2021-11-11T13:37:22.000Z | from elasticsearch import Elasticsearch, RequestsHttpConnection
from requests_aws4auth import AWS4Auth
import boto3
def get_es_client(conn, silent=False):
"""
Returns the elasticsearch client connected through port forwarding settings
"""
elastic_url = "https://localhost:9222"
protocol_config = {
... | 31.84375 | 94 | 0.684004 | 115 | 1,019 | 5.86087 | 0.591304 | 0.047478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02033 | 0.227674 | 1,019 | 31 | 95 | 32.870968 | 0.836086 | 0.091266 | 0 | 0 | 0 | 0 | 0.123077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.130435 | 0 | 0.217391 | 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 |
f98c3635dfd0d3ae569222c031b018e24dab8ea9 | 1,322 | py | Python | sendemail/views.py | sami-sinnari/MilestoneProject4 | 4a66f5cd5e44e9ff4dbaeeb3e8733c0e2db6629e | [
"W3C",
"PostgreSQL"
] | null | null | null | sendemail/views.py | sami-sinnari/MilestoneProject4 | 4a66f5cd5e44e9ff4dbaeeb3e8733c0e2db6629e | [
"W3C",
"PostgreSQL"
] | null | null | null | sendemail/views.py | sami-sinnari/MilestoneProject4 | 4a66f5cd5e44e9ff4dbaeeb3e8733c0e2db6629e | [
"W3C",
"PostgreSQL"
] | 1 | 2021-08-31T03:29:02.000Z | 2021-08-31T03:29:02.000Z | from django.core.mail import send_mail, BadHeaderError
from django.http import HttpResponse
from django.shortcuts import render, redirect
from .forms import ContactForm
from profiles.models import UserProfile
def contactView(request):
if request.user.is_authenticated:
try:
profile = UserProfil... | 31.47619 | 78 | 0.621785 | 132 | 1,322 | 6.128788 | 0.424242 | 0.074166 | 0.055624 | 0.069221 | 0.086527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.281392 | 1,322 | 41 | 79 | 32.243902 | 0.851579 | 0 | 0 | 0.114286 | 0 | 0 | 0.123298 | 0.056732 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.142857 | 0.028571 | 0.314286 | 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 |
f98cbeedab7f46e8e4601542568092c0c0c15c19 | 592 | py | Python | tests/test_accounts.py | edgeee/buycoins-python | 72a3130cf43d0c618e58418b3d8cb7ce73b0f133 | [
"MIT"
] | 55 | 2021-02-02T22:09:37.000Z | 2022-02-24T12:17:23.000Z | tests/test_accounts.py | edgeee/buycoins-python | 72a3130cf43d0c618e58418b3d8cb7ce73b0f133 | [
"MIT"
] | 2 | 2021-03-24T20:11:02.000Z | 2021-04-27T13:13:27.000Z | tests/test_accounts.py | edgeee/buycoins-python | 72a3130cf43d0c618e58418b3d8cb7ce73b0f133 | [
"MIT"
] | 8 | 2021-02-08T17:06:53.000Z | 2022-02-13T09:38:59.000Z | from tests.utils import _mock_gql
create_deposit_response = dict(
createDepositAccount=dict(
accountNumber="123",
accountName="john doe",
accountType="deposit",
bankName="Providus",
accountReference="ref",
)
)
def test_create_deposit():
from buycoins import accoun... | 23.68 | 58 | 0.689189 | 63 | 592 | 6.253968 | 0.52381 | 0.13198 | 0.121827 | 0.101523 | 0.142132 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012876 | 0.212838 | 592 | 24 | 59 | 24.666667 | 0.832618 | 0 | 0 | 0 | 0 | 0 | 0.086149 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f98fe6f86f42085c174f1fcd733ce2400cb3d904 | 2,696 | py | Python | system_monitor_script/build_network.py | carabri/carabri | c8b94080331ab66ee116ee6e87e13e295e4f9604 | [
"Apache-2.0"
] | null | null | null | system_monitor_script/build_network.py | carabri/carabri | c8b94080331ab66ee116ee6e87e13e295e4f9604 | [
"Apache-2.0"
] | null | null | null | system_monitor_script/build_network.py | carabri/carabri | c8b94080331ab66ee116ee6e87e13e295e4f9604 | [
"Apache-2.0"
] | null | null | null | import re
import networkx
import itertools
import argparse
import json
def build_network(filename,outfile,mb_threshold):
regex = re.compile('([0-9]+) kB: (.*)(?=\()')
network_list = []
current_network = []
with open(filename, 'r') as memlog:
ignore_line = True
for line in memlog.r... | 42.125 | 177 | 0.555267 | 346 | 2,696 | 4.219653 | 0.33237 | 0.009589 | 0.006164 | 0.008219 | 0.028767 | 0.015068 | 0 | 0 | 0 | 0 | 0 | 0.015899 | 0.323442 | 2,696 | 64 | 178 | 42.125 | 0.784539 | 0.043398 | 0 | 0.08 | 0 | 0.02 | 0.207218 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.1 | 0 | 0.12 | 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 |
f98fff79925e8d8be7997e37273c0b32991d86de | 1,428 | py | Python | BigO/insertion_sort.py | jeff-lund/CS350 | 7227b53275c62d45e899a531136a96a866c32a16 | [
"MIT"
] | 2 | 2019-10-16T01:59:42.000Z | 2019-11-13T19:25:00.000Z | BigO/insertion_sort.py | jeff-lund/CS350 | 7227b53275c62d45e899a531136a96a866c32a16 | [
"MIT"
] | null | null | null | BigO/insertion_sort.py | jeff-lund/CS350 | 7227b53275c62d45e899a531136a96a866c32a16 | [
"MIT"
] | 2 | 2019-10-16T01:59:49.000Z | 2019-11-15T01:19:18.000Z | from sys import argv
from random import randint
from time import time
import matplotlib.pyplot as plt
def insertion_sort(arr):
n = len(arr)
for i in range(1, n):
v = arr[i]
j = i - 1
while j >= 0 and arr[j] > v:
arr[j + 1] = arr[j]
j -= 1
arr... | 28.56 | 134 | 0.459384 | 182 | 1,428 | 3.516484 | 0.43956 | 0.04375 | 0.075 | 0.01875 | 0.1 | 0.1 | 0.1 | 0 | 0 | 0 | 0 | 0.126202 | 0.417367 | 1,428 | 49 | 135 | 29.142857 | 0.643029 | 0.085434 | 0 | 0.15 | 0 | 0 | 0.036741 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.1 | 0 | 0.125 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f994d4e53b4b2fdca4fdd7080892fff0acd2645e | 638 | py | Python | tasks.py | RevolutionTech/revolutiontech.ca | a3f0f1526812554938674c4fc9e7ea90ed4ffe6d | [
"0BSD"
] | null | null | null | tasks.py | RevolutionTech/revolutiontech.ca | a3f0f1526812554938674c4fc9e7ea90ed4ffe6d | [
"0BSD"
] | 171 | 2017-11-02T05:39:37.000Z | 2022-03-07T01:13:53.000Z | tasks.py | RevolutionTech/carrier-owl | f72f47e39ea819681fa7b50de2b52e393edeeb96 | [
"0BSD"
] | 1 | 2018-01-13T08:11:26.000Z | 2018-01-13T08:11:26.000Z | from invoke import Collection, task
from opstrich.invoke import check, openssl
@task
def deploy(c):
"""
Build and run a Docker container to deploy.
"""
c.run("docker build -t zappa-lambda .")
c.run("docker run -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY zappa-lambda")
c.run(
"DJANGO_... | 23.62963 | 106 | 0.694357 | 88 | 638 | 4.920455 | 0.534091 | 0.064665 | 0.046189 | 0.069284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202194 | 638 | 26 | 107 | 24.538462 | 0.850688 | 0.153605 | 0 | 0.142857 | 0 | 0 | 0.420432 | 0.127701 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f994d8e1e290868506a6fadbde009edec090ad8b | 2,490 | py | Python | bear/scripts/lunar_lander/remove_data.py | junmokane/AI602_Project | 59c132ae04751f9fb6cf6ebb491042cbf4de003d | [
"Apache-2.0"
] | 1 | 2020-10-14T05:51:36.000Z | 2020-10-14T05:51:36.000Z | bear/scripts/lunar_lander/remove_data.py | junmokane/AI602_Project | 59c132ae04751f9fb6cf6ebb491042cbf4de003d | [
"Apache-2.0"
] | null | null | null | bear/scripts/lunar_lander/remove_data.py | junmokane/AI602_Project | 59c132ae04751f9fb6cf6ebb491042cbf4de003d | [
"Apache-2.0"
] | null | null | null | import torch
import numpy as np
import copy
def remove(path):
data = torch.load(path)
location_list, action_list = [np.reshape(st[0], (1, 8)) for st in data], [st[1] for st in data]
location_list = np.concatenate(location_list, axis=0)
action_list = np.asarray(action_list)
action_0 = action_l... | 35.070423 | 112 | 0.65743 | 376 | 2,490 | 4.06383 | 0.135638 | 0.098168 | 0.058901 | 0.098168 | 0.47644 | 0.47644 | 0.448953 | 0.27356 | 0.246073 | 0.246073 | 0 | 0.030839 | 0.205622 | 2,490 | 71 | 113 | 35.070423 | 0.741658 | 0.091165 | 0 | 0.122449 | 0 | 0 | 0.09429 | 0.080124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020408 | false | 0 | 0.061224 | 0 | 0.081633 | 0.040816 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9990629b2219f3dd1a7da2e2230e3d0eb99c9a8 | 2,435 | py | Python | flex/http/negotiators.py | centergy/flex | 4fc11d3ad48e4b5016f53256015e3eed2157daae | [
"MIT"
] | null | null | null | flex/http/negotiators.py | centergy/flex | 4fc11d3ad48e4b5016f53256015e3eed2157daae | [
"MIT"
] | null | null | null | flex/http/negotiators.py | centergy/flex | 4fc11d3ad48e4b5016f53256015e3eed2157daae | [
"MIT"
] | null | null | null | """
Content negotiation deals with selecting an appropriate renderer given the
incoming request. Typically this will be based on the request's Accept header.
"""
import flask as fl
from . import exc
class BaseContentNegotiator(object):
def get_accept_mimetypes(self, request=None):
"""Given the incoming request... | 27.988506 | 92 | 0.70308 | 321 | 2,435 | 5.258567 | 0.299065 | 0.0391 | 0.028436 | 0.040877 | 0.108412 | 0.108412 | 0.074645 | 0.074645 | 0.074645 | 0.074645 | 0 | 0.00758 | 0.187269 | 2,435 | 86 | 93 | 28.313953 | 0.845376 | 0.15729 | 0 | 0.140351 | 0 | 0 | 0.023221 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.035088 | 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 |
f99b06a71dceb4f5f766c0212d0a17f6f162c70a | 539 | py | Python | uva_answers/10018/main.py | andriisoldatenko/fan | e7ed6ea0f39bd71af4e286af8d81ebc137ae8ff4 | [
"MIT"
] | 6 | 2018-11-18T15:00:02.000Z | 2022-03-23T21:32:24.000Z | uva_answers/10018/main.py | andriisoldatenko/leetcode | 8fef4da00234f8acbea9b71ee730b2267b70395f | [
"MIT"
] | null | null | null | uva_answers/10018/main.py | andriisoldatenko/leetcode | 8fef4da00234f8acbea9b71ee730b2267b70395f | [
"MIT"
] | null | null | null | import pprint
import sys
import re
FILE = sys.stdin
#FILE = open('sample.in')
def is_palindrome(n):
k = str(n)
return list(k) == list(reversed(k))
def reverse_add(n):
return n + int(str(n)[::-1])
#import ipdb;ipdb.set_trace()
test_cases = range(int(FILE.readline()))
#import ipdb; ipdb.set_trace()
for t... | 20.730769 | 40 | 0.64564 | 88 | 539 | 3.784091 | 0.431818 | 0.09009 | 0.099099 | 0.102102 | 0.132132 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007026 | 0.207792 | 539 | 25 | 41 | 21.56 | 0.772834 | 0.152134 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0.055556 | 0.388889 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f99fbafb536fdd0dcee45c41f8a1a58e47ef7f46 | 1,086 | py | Python | 2dtree/bin/bpy_validation.py | LeanderSilur/Snippets | 3ff718f91439450bd5aff13342aa98a9d4957e85 | [
"MIT"
] | 9 | 2020-02-04T05:41:09.000Z | 2022-03-08T06:14:54.000Z | 2dtree/bin/bpy_validation.py | LeanderSilur/Snippets | 3ff718f91439450bd5aff13342aa98a9d4957e85 | [
"MIT"
] | 2 | 2020-06-14T19:58:01.000Z | 2021-07-04T14:21:33.000Z | 2dtree/bin/bpy_validation.py | LeanderSilur/Snippets | 3ff718f91439450bd5aff13342aa98a9d4957e85 | [
"MIT"
] | 2 | 2020-07-29T19:54:44.000Z | 2020-07-29T20:00:24.000Z | import bpy
import subprocess
REBUILD = 0
if REBUILD:
subprocess.call([
"g++",
bpy.path.abspath('//../main.cpp'),
bpy.path.abspath('//../PtTree.cpp'),
"-o",
bpy.path.abspath('//PtTree')
])
# Collect the input data.
verts = bpy.data.meshes['PointCloud'].vertices
quer... | 22.163265 | 69 | 0.621547 | 159 | 1,086 | 4.169811 | 0.440252 | 0.042232 | 0.084465 | 0.090498 | 0.069382 | 0.069382 | 0 | 0 | 0 | 0 | 0 | 0.006912 | 0.200737 | 1,086 | 49 | 70 | 22.163265 | 0.756912 | 0.055249 | 0 | 0 | 0 | 0 | 0.086999 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9a216fdaa67e5fc6913f5aa98c379d5a25e120e | 10,274 | py | Python | zgrab2_schemas/zgrab2/ssh.py | aspacewalz/zgrab2 | d9ed4f141dae102d65ba1e08bf2eb4179678d172 | [
"Apache-2.0"
] | 1,031 | 2016-11-29T15:12:05.000Z | 2022-03-31T05:02:50.000Z | zgrab2_schemas/zgrab2/ssh.py | vl4deee11/zgrab2 | c859e9ef1173955dadae88416289ef8cc8910495 | [
"Apache-2.0"
] | 191 | 2017-07-24T17:27:57.000Z | 2022-03-16T04:59:59.000Z | zgrab2_schemas/zgrab2/ssh.py | vl4deee11/zgrab2 | c859e9ef1173955dadae88416289ef8cc8910495 | [
"Apache-2.0"
] | 230 | 2017-11-14T07:25:57.000Z | 2022-03-31T04:20:46.000Z | # zschema sub-schema for zgrab2's ssh module (modules/ssh.go)
# Registers zgrab2-ssh globally, and ssh with the main zgrab2 schema.
from zschema.leaves import *
from zschema.compounds import *
import zschema.registry
import zcrypto_schemas.zcrypto as zcrypto
from . import zgrab2
# NOTE: Despite the fact that we have... | 40.448819 | 234 | 0.694569 | 1,178 | 10,274 | 5.936333 | 0.304754 | 0.015444 | 0.01716 | 0.014014 | 0.198627 | 0.161876 | 0.114686 | 0.10439 | 0.10439 | 0.10439 | 0 | 0.030186 | 0.171306 | 10,274 | 253 | 235 | 40.608696 | 0.791167 | 0.199046 | 0 | 0.164894 | 0 | 0.042553 | 0.449152 | 0.088023 | 0 | 0 | 0 | 0.003953 | 0 | 1 | 0 | false | 0 | 0.026596 | 0 | 0.026596 | 0.005319 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9a21f50645fbd8f00212379587d12cc0568bcd5 | 5,123 | py | Python | app/main/views.py | Juru-10/blog | ac554952e884c35ce7dd50cf0ef9748a8da96a3f | [
"MIT"
] | null | null | null | app/main/views.py | Juru-10/blog | ac554952e884c35ce7dd50cf0ef9748a8da96a3f | [
"MIT"
] | null | null | null | app/main/views.py | Juru-10/blog | ac554952e884c35ce7dd50cf0ef9748a8da96a3f | [
"MIT"
] | null | null | null | from flask import render_template,request,redirect,url_for,abort
from ..models import User,Post,Comment,Subscriber
from ..requests import get_quotes
from . import main
from .forms import PostForm,CommentForm,DelForm,UpdateProfile
from app.auth.forms import SubscriptionForm
from .. import db,photos
from flask_login impo... | 33.927152 | 117 | 0.662112 | 680 | 5,123 | 4.854412 | 0.191176 | 0.040897 | 0.035444 | 0.042411 | 0.389882 | 0.287186 | 0.249015 | 0.197819 | 0.177219 | 0.156013 | 0 | 0.004351 | 0.192465 | 5,123 | 150 | 118 | 34.153333 | 0.79357 | 0.340426 | 0 | 0.25641 | 0 | 0 | 0.112821 | 0.041327 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.141026 | 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 |
f9a3781192095c8ae404cd60bb006a2f14049443 | 4,370 | py | Python | genoml/steps/model_validate.py | GenoML/genoml | bfe0164e99a27d5ec2b720b5a24e059294603e3f | [
"Apache-2.0"
] | 13 | 2019-03-22T12:12:12.000Z | 2021-10-04T15:06:18.000Z | genoml/steps/model_validate.py | GenoML/genoml | bfe0164e99a27d5ec2b720b5a24e059294603e3f | [
"Apache-2.0"
] | 21 | 2019-03-15T15:40:59.000Z | 2020-08-03T21:44:26.000Z | genoml/steps/model_validate.py | GenoML/genoml | bfe0164e99a27d5ec2b720b5a24e059294603e3f | [
"Apache-2.0"
] | 4 | 2019-06-28T18:25:37.000Z | 2020-01-21T01:22:07.000Z | #! /usr/bin/env python -u
# coding=utf-8
from shutil import copyfile
from genoml.steps import PhenoScale, StepBase
from genoml.utils import DescriptionLoader
__author__ = 'Sayed Hadi Hashemi'
class ModelValidateStep(StepBase):
"""performs validation with existing data"""
_valid_prefix = None
def _reduc... | 38 | 118 | 0.576659 | 481 | 4,370 | 4.945946 | 0.297297 | 0.094157 | 0.050441 | 0.075662 | 0.442203 | 0.334594 | 0.297604 | 0.244641 | 0.192938 | 0.153426 | 0 | 0.001669 | 0.314645 | 4,370 | 114 | 119 | 38.333333 | 0.792654 | 0.126087 | 0 | 0.376471 | 0 | 0 | 0.145153 | 0.017914 | 0 | 0 | 0 | 0.008772 | 0 | 1 | 0.082353 | false | 0 | 0.035294 | 0.011765 | 0.152941 | 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 |
f9a5ad42dfd6f80195b93f6de20b3058e7e2213b | 7,374 | py | Python | pyquil/api/_benchmark.py | stjordanis/pyquil | 36987ecb78d5dc85d299dd62395b7669a1cedd5a | [
"Apache-2.0"
] | 677 | 2017-01-09T23:20:22.000Z | 2018-11-26T10:57:49.000Z | pyquil/api/_benchmark.py | stjordanis/pyquil | 36987ecb78d5dc85d299dd62395b7669a1cedd5a | [
"Apache-2.0"
] | 574 | 2018-11-28T05:38:40.000Z | 2022-03-23T20:38:28.000Z | pyquil/api/_benchmark.py | stjordanis/pyquil | 36987ecb78d5dc85d299dd62395b7669a1cedd5a | [
"Apache-2.0"
] | 202 | 2018-11-30T06:36:28.000Z | 2022-03-29T15:38:18.000Z | ##############################################################################
# Copyright 2018 Rigetti Computing
#
# 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://ww... | 46.670886 | 118 | 0.675481 | 906 | 7,374 | 5.384106 | 0.31457 | 0.01435 | 0.02624 | 0.021525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004638 | 0.239761 | 7,374 | 157 | 119 | 46.968153 | 0.865501 | 0.481421 | 0 | 0.029412 | 0 | 0 | 0.0003 | 0 | 0 | 0 | 0 | 0 | 0.014706 | 1 | 0.044118 | false | 0 | 0.102941 | 0 | 0.205882 | 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 |
f9a78f0606518ebedfb5bc19389f7930753e4683 | 554 | py | Python | questions/q292_pair_with_given_difference/simple_storage.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | null | null | null | questions/q292_pair_with_given_difference/simple_storage.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | 1 | 2021-05-15T07:56:51.000Z | 2021-05-15T07:56:51.000Z | questions/q292_pair_with_given_difference/simple_storage.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | null | null | null | class Solution:
def findPair(self, arr, L,N):
store = set()
for num in arr :
if num in store :
return True
store.add(num - N)
store.add(num + N)
return False
if __name__ == '__main__':
t = int(input())
for _ i... | 19.103448 | 47 | 0.440433 | 70 | 554 | 3.357143 | 0.428571 | 0.025532 | 0.042553 | 0.102128 | 0.170213 | 0.170213 | 0.170213 | 0 | 0 | 0 | 0 | 0.006349 | 0.431408 | 554 | 28 | 48 | 19.785714 | 0.739683 | 0 | 0 | 0 | 0 | 0 | 0.01444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.210526 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9ae75ada823a3568610724a901cd66400be071c | 331 | py | Python | Algo and DSA/LeetCode-Solutions-master/Python/bulb-switcher-iii.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 3,269 | 2018-10-12T01:29:40.000Z | 2022-03-31T17:58:41.000Z | Algo and DSA/LeetCode-Solutions-master/Python/bulb-switcher-iii.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 53 | 2018-12-16T22:54:20.000Z | 2022-02-25T08:31:20.000Z | Algo and DSA/LeetCode-Solutions-master/Python/bulb-switcher-iii.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 1,236 | 2018-10-12T02:51:40.000Z | 2022-03-30T13:30:37.000Z | # Time: O(n)
# Space: O(1)
class Solution(object):
def numTimesAllBlue(self, light):
"""
:type light: List[int]
:rtype: int
"""
result, right = 0, 0
for i, num in enumerate(light, 1):
right = max(right, num)
result += (right == i)
ret... | 22.066667 | 42 | 0.483384 | 39 | 331 | 4.102564 | 0.666667 | 0.1375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019512 | 0.380665 | 331 | 14 | 43 | 23.642857 | 0.760976 | 0.178248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9b08e37d9b636d67355ff414f22cda84aa9f53b | 3,472 | py | Python | tilapia/lib/provider/chains/bch/provider.py | huazhouwang/python_multichain_wallet | 52e0acdc2984c08990cb36433ef17a414fbe8312 | [
"MIT"
] | 2 | 2021-09-23T13:47:08.000Z | 2021-09-24T02:39:14.000Z | tilapia/lib/provider/chains/bch/provider.py | huazhouwang/tilapia | 52e0acdc2984c08990cb36433ef17a414fbe8312 | [
"MIT"
] | null | null | null | tilapia/lib/provider/chains/bch/provider.py | huazhouwang/tilapia | 52e0acdc2984c08990cb36433ef17a414fbe8312 | [
"MIT"
] | null | null | null | import itertools
import logging
from typing import Dict, Tuple
from tilapia.lib.basic import bip44
from tilapia.lib.basic.functional.require import require
from tilapia.lib.hardware import interfaces as hardware_interfaces
from tilapia.lib.provider import data
from tilapia.lib.provider.chains import btc
from tilapia.l... | 39.908046 | 118 | 0.701613 | 425 | 3,472 | 5.489412 | 0.263529 | 0.064295 | 0.042006 | 0.030862 | 0.183455 | 0.123018 | 0.068581 | 0.035148 | 0 | 0 | 0 | 0.007689 | 0.213422 | 3,472 | 86 | 119 | 40.372093 | 0.846576 | 0.017857 | 0 | 0.092308 | 0 | 0 | 0.047256 | 0.009099 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107692 | false | 0 | 0.153846 | 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 |
f9b1801867198f74dece84cf86c7c8fce031dea8 | 1,747 | py | Python | Excercises/Automata.py | RyanClinton777/graph-theory-project | a3ff9512da3ac2d48138b59d2e8eb8899d8e552d | [
"Unlicense"
] | null | null | null | Excercises/Automata.py | RyanClinton777/graph-theory-project | a3ff9512da3ac2d48138b59d2e8eb8899d8e552d | [
"Unlicense"
] | null | null | null | Excercises/Automata.py | RyanClinton777/graph-theory-project | a3ff9512da3ac2d48138b59d2e8eb8899d8e552d | [
"Unlicense"
] | null | null | null | """ DFA Automata Implementation """
class State:
""" Nodes/States in an automaton """
def __init__(self, isAccept, arrows):
# Boolean, wether or not this state is an accept state
self.isAccept = isAccept
# dictionary of keys/labels:Other states
self.arrows = arrows
class DFA:
... | 28.639344 | 117 | 0.611906 | 233 | 1,747 | 4.553648 | 0.39485 | 0.02262 | 0.031103 | 0.028275 | 0.111216 | 0.073516 | 0.073516 | 0.073516 | 0.073516 | 0 | 0 | 0.033965 | 0.275329 | 1,747 | 61 | 118 | 28.639344 | 0.804107 | 0.418432 | 0 | 0.142857 | 0 | 0 | 0.085391 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 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 |
f9b86bf8f49332b5a6eedda3d7d77088bf890eb2 | 19,801 | py | Python | pangtreebuild/pangenome/builders/dagmaf2poagraph.py | meoke/PangTreeBuild | 7cafb76df32c559a76ed1d269699dc0e52313312 | [
"MIT"
] | 2 | 2019-09-04T20:01:28.000Z | 2019-12-23T22:41:57.000Z | pangtreebuild/pangenome/builders/dagmaf2poagraph.py | meoke/PangTreeBuild | 7cafb76df32c559a76ed1d269699dc0e52313312 | [
"MIT"
] | 2 | 2019-08-10T16:18:01.000Z | 2019-10-28T21:40:23.000Z | pangtreebuild/pangenome/builders/dagmaf2poagraph.py | meoke/PangTreeBuild | 7cafb76df32c559a76ed1d269699dc0e52313312 | [
"MIT"
] | 2 | 2020-04-23T23:57:52.000Z | 2020-07-12T17:09:02.000Z | from collections import namedtuple
from typing import Tuple, List, NewType, Optional, Dict
from pangtreebuild.mafgraph.graph import Block
from pangtreebuild.mafgraph.graph.Arc import Arc
from pangtreebuild.mafgraph.mafreader import start_position
from pangtreebuild.pangenome import graph
from pangtreebuild.pangenome i... | 44.596847 | 117 | 0.56982 | 2,234 | 19,801 | 4.673232 | 0.081916 | 0.03592 | 0.029885 | 0.014368 | 0.496169 | 0.368391 | 0.279693 | 0.208812 | 0.188027 | 0.169157 | 0 | 0.003768 | 0.356699 | 19,801 | 443 | 118 | 44.697517 | 0.815827 | 0.015353 | 0 | 0.249292 | 0 | 0 | 0.038135 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07932 | false | 0.002833 | 0.028329 | 0.01983 | 0.195467 | 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 |
f9bff3fda8ac0169c8ed57237e81f02a4608ca3c | 2,451 | py | Python | conductor/conductor/api/controllers/validator.py | aalsudais/optf-has | c3e070b6ebc713a571c10d7a5cd87e5053047136 | [
"Apache-2.0"
] | 4 | 2019-02-14T19:18:09.000Z | 2019-10-21T17:17:59.000Z | conductor/conductor/api/controllers/validator.py | aalsudais/optf-has | c3e070b6ebc713a571c10d7a5cd87e5053047136 | [
"Apache-2.0"
] | null | null | null | conductor/conductor/api/controllers/validator.py | aalsudais/optf-has | c3e070b6ebc713a571c10d7a5cd87e5053047136 | [
"Apache-2.0"
] | 4 | 2019-05-09T07:05:54.000Z | 2020-11-20T05:56:47.000Z | #
# -------------------------------------------------------------------------
# Copyright (c) 2015-2017 AT&T Intellectual Property
#
# 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
#
# ... | 38.296875 | 78 | 0.572011 | 265 | 2,451 | 5.215094 | 0.471698 | 0.043415 | 0.047033 | 0.054269 | 0.085384 | 0.085384 | 0.085384 | 0.085384 | 0.085384 | 0 | 0 | 0.019965 | 0.305182 | 2,451 | 63 | 79 | 38.904762 | 0.791544 | 0.394941 | 0 | 0.258065 | 0 | 0 | 0.096461 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.16129 | 0 | 0.290323 | 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 |
f9c217fdeaa845a8b5a88bdf4815b175a49ccae7 | 32,310 | py | Python | gamejoltapi.py | bgempire/gamejoltapi | 03a77527e00a67e5990dbc1289c54e280954b712 | [
"MIT"
] | 1 | 2022-01-18T12:08:58.000Z | 2022-01-18T12:08:58.000Z | gamejoltapi.py | bgempire/gamejoltapi | 03a77527e00a67e5990dbc1289c54e280954b712 | [
"MIT"
] | null | null | null | gamejoltapi.py | bgempire/gamejoltapi | 03a77527e00a67e5990dbc1289c54e280954b712 | [
"MIT"
] | 1 | 2021-04-30T11:27:39.000Z | 2021-04-30T11:27:39.000Z | from urllib.parse import urlencode as _urlencode, quote as _quote
from urllib.request import urlopen as _urlopen
from hashlib import md5 as _md5
from ast import literal_eval as _literal_eval
from collections import OrderedDict as _OrderedDict
_DEBUG = False
class GameJoltDataRequired(Exception):
""" Exception ra... | 38.327402 | 498 | 0.572857 | 3,656 | 32,310 | 4.992888 | 0.129923 | 0.01775 | 0.013148 | 0.023009 | 0.409335 | 0.374767 | 0.351649 | 0.335543 | 0.315876 | 0.301797 | 0 | 0.00232 | 0.333024 | 32,310 | 842 | 499 | 38.372922 | 0.844733 | 0.4355 | 0 | 0.431085 | 0 | 0 | 0.120855 | 0.010145 | 0.002933 | 0 | 0 | 0 | 0 | 1 | 0.082111 | false | 0 | 0.014663 | 0 | 0.184751 | 0.005865 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9c3b4eb59658fb2124d809e4025b7e6912a6d8f | 3,243 | py | Python | poplar/util.py | mortonjt/poplar | 854d1ef819392f54536df386ef034091831802ed | [
"BSD-3-Clause"
] | null | null | null | poplar/util.py | mortonjt/poplar | 854d1ef819392f54536df386ef034091831802ed | [
"BSD-3-Clause"
] | null | null | null | poplar/util.py | mortonjt/poplar | 854d1ef819392f54536df386ef034091831802ed | [
"BSD-3-Clause"
] | null | null | null | import os
import inspect
import torch
import numpy as np
import numbers
def get_data_path(fn, subfolder='data'):
"""Return path to filename ``fn`` in the data folder.
During testing it is often necessary to load data files. This
function returns the full path to files in the ``data`` subfolder
by def... | 26.153226 | 81 | 0.588344 | 454 | 3,243 | 4.145374 | 0.414097 | 0.055792 | 0.063762 | 0.082891 | 0.06695 | 0.06695 | 0.06695 | 0.06695 | 0.06695 | 0.06695 | 0 | 0.025575 | 0.276596 | 3,243 | 123 | 82 | 26.365854 | 0.776641 | 0.365094 | 0 | 0 | 0 | 0 | 0.048117 | 0.012552 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.075758 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9c72fdee75782efa656735bc0a7c52d729983de | 5,109 | py | Python | search-github-ip.py | brilliant116/learning-code | 5378b1f0c53b4ceac56942044bbb666278a138f2 | [
"MIT"
] | null | null | null | search-github-ip.py | brilliant116/learning-code | 5378b1f0c53b4ceac56942044bbb666278a138f2 | [
"MIT"
] | null | null | null | search-github-ip.py | brilliant116/learning-code | 5378b1f0c53b4ceac56942044bbb666278a138f2 | [
"MIT"
] | null | null | null | import asyncio
import time
import socket
import argparse
import aiohttp
class MyConnector(aiohttp.TCPConnector):
def __init__(self, ip):
self.__ip = ip
super().__init__()
async def _resolve_host(
self, host: str, port: int,
traces: None = None,
):
return [{
'hostname': host, 'host': s... | 24.921951 | 109 | 0.595811 | 720 | 5,109 | 4.105556 | 0.302778 | 0.032476 | 0.020298 | 0.028417 | 0.225304 | 0.154263 | 0.119756 | 0.119756 | 0.119756 | 0.100812 | 0 | 0.08198 | 0.228812 | 5,109 | 204 | 110 | 25.044118 | 0.668274 | 0 | 0 | 0.209302 | 0 | 0.005814 | 0.177138 | 0.012723 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005814 | false | 0.005814 | 0.040698 | 0 | 0.098837 | 0.034884 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9c8ce2fe1e056d6cf0dbb9895f3232eec31c3ce | 23,732 | py | Python | AdventOfCode/2020/day20.py | benhunter/coding-challenges | 0cca059da7c8ae6cdc62dbeb3db8250ab42ac3b6 | [
"MIT"
] | null | null | null | AdventOfCode/2020/day20.py | benhunter/coding-challenges | 0cca059da7c8ae6cdc62dbeb3db8250ab42ac3b6 | [
"MIT"
] | null | null | null | AdventOfCode/2020/day20.py | benhunter/coding-challenges | 0cca059da7c8ae6cdc62dbeb3db8250ab42ac3b6 | [
"MIT"
] | null | null | null | # Advent of Code 2020 Day
# https://adventofcode.com/2020/
import cProfile
import itertools
import math
import numpy as np
from collections import namedtuple
from pprint import pformat, pprint
from typing import List, Optional
from numpy.typing import ArrayLike
USE_EXAMPLE1 = False # example input or full input
D... | 36.567026 | 110 | 0.605469 | 3,034 | 23,732 | 4.530653 | 0.098879 | 0.022261 | 0.034628 | 0.024443 | 0.470391 | 0.39226 | 0.340172 | 0.293613 | 0.255565 | 0.230758 | 0 | 0.018554 | 0.295972 | 23,732 | 649 | 111 | 36.567026 | 0.804166 | 0.220125 | 0 | 0.322275 | 0 | 0.00237 | 0.029708 | 0.006814 | 0 | 0 | 0 | 0 | 0.097156 | 1 | 0.059242 | false | 0 | 0.018957 | 0.00237 | 0.132701 | 0.037915 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9caa403c7cda77ed58ce080740499d1a738c3e3 | 1,870 | py | Python | src/server_main_loop.py | the40san/unity_survival_shooter_multi_server_python | d20d9aa2204bca70d0787acbfe395277b776e92d | [
"MIT"
] | 3 | 2017-04-11T05:36:08.000Z | 2021-03-16T16:22:07.000Z | src/server_main_loop.py | the40san/unity_survival_shooter_multi_server_python | d20d9aa2204bca70d0787acbfe395277b776e92d | [
"MIT"
] | null | null | null | src/server_main_loop.py | the40san/unity_survival_shooter_multi_server_python | d20d9aa2204bca70d0787acbfe395277b776e92d | [
"MIT"
] | 1 | 2017-04-11T05:35:26.000Z | 2017-04-11T05:35:26.000Z | import socket
import select
from server_info import ServerInfo
from client_handler.client_thread import ClientThread
from server_handler.server_thread import ServerThread
from server_handler.server_thread_proxy import ServerThreadProxy
from logger import Logger
class ServerMainLoop:
def __init__(self):
sel... | 30.16129 | 81 | 0.647059 | 219 | 1,870 | 5.333333 | 0.342466 | 0.082192 | 0.082192 | 0.039384 | 0.049658 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000725 | 0.262032 | 1,870 | 61 | 82 | 30.655738 | 0.845652 | 0 | 0 | 0.041667 | 0 | 0 | 0.03369 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.145833 | 0 | 0.291667 | 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 |
f9caf1a992a5eacb6d048931ae39cf07dfd472c4 | 8,838 | py | Python | Aula_01/Aula01_Resolucao_Exercicios_Lista_Estruturas_Condicionais.py | elcbasilio/letscode | ea2ed5ee80485d98fad2c77a7a50927a7d524793 | [
"MIT"
] | null | null | null | Aula_01/Aula01_Resolucao_Exercicios_Lista_Estruturas_Condicionais.py | elcbasilio/letscode | ea2ed5ee80485d98fad2c77a7a50927a7d524793 | [
"MIT"
] | null | null | null | Aula_01/Aula01_Resolucao_Exercicios_Lista_Estruturas_Condicionais.py | elcbasilio/letscode | ea2ed5ee80485d98fad2c77a7a50927a7d524793 | [
"MIT"
] | null | null | null | # 1. Peça a idade do usuário e imprima se ele é maior ou menor de 18 anos;
idade = int (input ('Digite sua idade:'))
if idade < 18:
print ('Você tem menos de 18 anos')
else:
print ('Você tem 18 anos ou mais')
# 2. Peça um número e mostre se ele é positivo ou negativo;
numero = float (input ('Digite um número ... | 34.795276 | 209 | 0.642114 | 1,544 | 8,838 | 3.675518 | 0.182642 | 0.022203 | 0.028546 | 0.020969 | 0.362819 | 0.272599 | 0.212335 | 0.188018 | 0.174097 | 0.135683 | 0 | 0.045154 | 0.21317 | 8,838 | 253 | 210 | 34.932806 | 0.770923 | 0.225051 | 0 | 0.245614 | 0 | 0 | 0.396871 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.374269 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9cd5d6aedbff1e1481a77881774667ef1fefe16 | 2,023 | py | Python | ros_radar_mine/neuro_learning/controller/testing/load_and_test.py | tudelft/blimp_snn | 23acbef8822337387aee196a3a10854e82bb4f80 | [
"Apache-2.0"
] | 3 | 2021-11-08T20:20:21.000Z | 2021-12-29T09:05:37.000Z | ros_radar_mine/neuro_learning/controller/testing/load_and_test.py | tudelft/blimp_snn | 23acbef8822337387aee196a3a10854e82bb4f80 | [
"Apache-2.0"
] | null | null | null | ros_radar_mine/neuro_learning/controller/testing/load_and_test.py | tudelft/blimp_snn | 23acbef8822337387aee196a3a10854e82bb4f80 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 2 20:41:01 2021
@author: marina
Interesting:
- T2000_NPOP100_NGEN500_NEU2-10-5-2-1_05-04-2021_19-08-51: Really smooth and contained between (-3,3)
- T2000_NPOP100_NGEN500_NEU2-10-5-2-1_05-04-2021_19-25-20
"""
# Set absolute package path
i... | 26.973333 | 126 | 0.707365 | 344 | 2,023 | 3.965116 | 0.43314 | 0.032991 | 0.017595 | 0.028592 | 0.126833 | 0.055718 | 0.055718 | 0.055718 | 0.055718 | 0.055718 | 0 | 0.135347 | 0.116164 | 2,023 | 75 | 127 | 26.973333 | 0.627517 | 0.604053 | 0 | 0 | 0 | 0 | 0.153191 | 0.073759 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9ce968f21d6e6f401b8601663fad589082a13f8 | 293 | py | Python | HackerRank/Python/Sets/py-the-captains-room.py | neiesc/Problem-solving | d3bce7a3b9801e6049e2c135418b31cba47b0964 | [
"MIT"
] | 1 | 2019-07-20T16:59:21.000Z | 2019-07-20T16:59:21.000Z | HackerRank/Python/Sets/py-the-captains-room.py | neiesc/Problem-solving | d3bce7a3b9801e6049e2c135418b31cba47b0964 | [
"MIT"
] | 5 | 2019-03-10T19:46:42.000Z | 2020-04-24T22:42:30.000Z | HackerRank/Python/Sets/py-the-captains-room.py | neiesc/Problem-solving | d3bce7a3b9801e6049e2c135418b31cba47b0964 | [
"MIT"
] | null | null | null | #!/bin/python3
# The Captain's Room
# https://www.hackerrank.com/challenges/py-the-captains-room/problem
from collections import Counter
if __name__ == '__main__':
k = int(input())
room_captain = Counter(map(int, input().split())).most_common()[:-2:-1]
print(room_captain[0][0]) | 29.3 | 76 | 0.68942 | 42 | 293 | 4.547619 | 0.761905 | 0.08377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019531 | 0.12628 | 293 | 10 | 77 | 29.3 | 0.726563 | 0.337884 | 0 | 0 | 0 | 0 | 0.041667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9d666c57cbfbdaa2610dd40857b2cf6d3dbfa06 | 8,973 | py | Python | api/GIS/functionalFun/thread_GIS.py | AutoCoinDCF/NEW_API | f4abc48fff907a0785372b941afcd67e62eec825 | [
"Apache-2.0"
] | null | null | null | api/GIS/functionalFun/thread_GIS.py | AutoCoinDCF/NEW_API | f4abc48fff907a0785372b941afcd67e62eec825 | [
"Apache-2.0"
] | null | null | null | api/GIS/functionalFun/thread_GIS.py | AutoCoinDCF/NEW_API | f4abc48fff907a0785372b941afcd67e62eec825 | [
"Apache-2.0"
] | null | null | null | from threading import Thread,Lock
from api.GIS.config import GIS_mgdb_config
from api.GIS.database.mongoDB import MGO
import json
from api.GIS.GISStaticsFun import GisStaticsFun
class TheadFun():
def __init__(self):
pass
# self.param = param
def queryQBByIds(self,ids):
DBConfig = []... | 41.35023 | 140 | 0.5482 | 750 | 8,973 | 6.522667 | 0.186667 | 0.034955 | 0.015944 | 0.01063 | 0.613655 | 0.597097 | 0.562756 | 0.542723 | 0.504906 | 0.487939 | 0 | 0.00237 | 0.34158 | 8,973 | 216 | 141 | 41.541667 | 0.82566 | 0.032654 | 0 | 0.575758 | 0 | 0 | 0.068292 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050505 | false | 0.005051 | 0.025253 | 0 | 0.10101 | 0.015152 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9d780addff74609d2c11318421ccdacd8b15d8d | 1,845 | py | Python | Creating a variable at template using filter.py/filter.py | YooInKeun/Facebook-Page-Insights-Web-Crawler | dbe8477b1e0671aca137cd94eff090d691e99ee2 | [
"MIT"
] | 1 | 2021-07-12T00:04:04.000Z | 2021-07-12T00:04:04.000Z | Creating a variable at template using filter.py/filter.py | YooInKeun/Facebook-Page-Insights-Web-Crawler | dbe8477b1e0671aca137cd94eff090d691e99ee2 | [
"MIT"
] | null | null | null | Creating a variable at template using filter.py/filter.py | YooInKeun/Facebook-Page-Insights-Web-Crawler | dbe8477b1e0671aca137cd94eff090d691e99ee2 | [
"MIT"
] | null | null | null | from django import template
register = template.Library()
# 문자열 변수 생성 가능
class SetVarNode(template.Node):
def __init__(self, new_val, var_name):
self.new_val = new_val
self.var_name = var_name
def render(self, context):
context[self.var_name] = self.new_val
return ... | 29.758065 | 112 | 0.616802 | 242 | 1,845 | 4.541322 | 0.359504 | 0.070064 | 0.050046 | 0.038217 | 0.242038 | 0.080073 | 0.080073 | 0.080073 | 0.080073 | 0.080073 | 0 | 0.009559 | 0.262873 | 1,845 | 62 | 113 | 29.758065 | 0.798529 | 0.086179 | 0 | 0.2 | 0 | 0 | 0.108276 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.05 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9d8c56ae37748311a4ccb37002818c53ff1fd16 | 420 | py | Python | fimath/constants.py | kalinkinisaac/modular | 301d26ad222a5ef3278aaf251908e0a8537bb58f | [
"MIT"
] | null | null | null | fimath/constants.py | kalinkinisaac/modular | 301d26ad222a5ef3278aaf251908e0a8537bb58f | [
"MIT"
] | null | null | null | fimath/constants.py | kalinkinisaac/modular | 301d26ad222a5ef3278aaf251908e0a8537bb58f | [
"MIT"
] | null | null | null | from .field import Field
from .re_field import ReField
from .matrix import Matrix
inf = Field(is_inf=True)
IDM = Matrix(1, 0, 0, 1)
G0 = Matrix(0, -1, 1, 0)
G1 = Matrix(0, 1, -1, 1)
G1_2 = G1 ** 2
G0_ = Matrix(0, 1, -1, 0)
G1_ = Matrix(1, 1, -1, 0)
G1_2_ = G1_ ** 2
G_ = Matrix(1, -1, 0, 1)
G__ = Matrix(1, 0, -1, 1)... | 16.8 | 40 | 0.592857 | 88 | 420 | 2.704545 | 0.25 | 0.067227 | 0.05042 | 0.113445 | 0.168067 | 0.168067 | 0.168067 | 0.168067 | 0 | 0 | 0 | 0.148036 | 0.211905 | 420 | 24 | 41 | 17.5 | 0.570997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9de9f006fc9afa79a63265eef2873fd5e7b5f5b | 1,991 | py | Python | 2021/python/day3.py | majormunky/advent_of_code | 4cccd7f3879e28e465bbc39176659bdd52bd70d6 | [
"MIT"
] | null | null | null | 2021/python/day3.py | majormunky/advent_of_code | 4cccd7f3879e28e465bbc39176659bdd52bd70d6 | [
"MIT"
] | null | null | null | 2021/python/day3.py | majormunky/advent_of_code | 4cccd7f3879e28e465bbc39176659bdd52bd70d6 | [
"MIT"
] | 1 | 2020-12-04T06:12:01.000Z | 2020-12-04T06:12:01.000Z | from common import get_file_contents
def most_common(index, items, total):
if int(items[index]) >= total / 2:
return "1"
else:
return "0"
def least_common(index, items, total):
# if our number is bigger than half our total lines
# then we know that 1 is the more common value
# so we return 0
if int(items[... | 20.316327 | 72 | 0.658463 | 314 | 1,991 | 4.038217 | 0.286624 | 0.022082 | 0.031546 | 0.042587 | 0.224763 | 0.179022 | 0.179022 | 0.115142 | 0.05836 | 0.05836 | 0 | 0.057908 | 0.19337 | 1,991 | 97 | 73 | 20.525773 | 0.731631 | 0.07785 | 0 | 0.157143 | 0 | 0 | 0.074276 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.014286 | 0.014286 | 0.257143 | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f9e4232dbd5470195e751b3cfb7348b26305a4d1 | 12,684 | py | Python | src/utils/datasets.py | gorjanradevski/siamese_multi_head_attention | fcbfe21f284bf98a1d0e725a9e6f2df19363b4a5 | [
"MIT"
] | 2 | 2020-06-11T03:03:35.000Z | 2022-01-08T07:15:46.000Z | src/utils/datasets.py | gorjanradevski/multimodal_representations_deep_learning | fcbfe21f284bf98a1d0e725a9e6f2df19363b4a5 | [
"MIT"
] | null | null | null | src/utils/datasets.py | gorjanradevski/multimodal_representations_deep_learning | fcbfe21f284bf98a1d0e725a9e6f2df19363b4a5 | [
"MIT"
] | null | null | null | import json
import re
import os
import logging
from abc import ABC
from typing import Dict, Any, List, Tuple
from utils.constants import pascal_train_size, pascal_val_size
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def preprocess_caption(caption: str) -> str:
"""Basic method us... | 34.467391 | 88 | 0.601861 | 1,591 | 12,684 | 4.57511 | 0.137649 | 0.038467 | 0.044374 | 0.054953 | 0.493474 | 0.381371 | 0.339744 | 0.276824 | 0.223932 | 0.206072 | 0 | 0.002679 | 0.323163 | 12,684 | 367 | 89 | 34.561308 | 0.845195 | 0.297383 | 0 | 0.255556 | 0 | 0 | 0.024575 | 0 | 0 | 0 | 0 | 0 | 0.016667 | 1 | 0.105556 | false | 0 | 0.038889 | 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 |
dda4affe6b2847c17389112e2763a725bc4f7b5b | 5,545 | py | Python | jaxtorch/image.py | GallagherCommaJack/jaxtorch | 3bc6785d781f12fabf3a436d9cfc0b839ebf5aec | [
"MIT"
] | null | null | null | jaxtorch/image.py | GallagherCommaJack/jaxtorch | 3bc6785d781f12fabf3a436d9cfc0b839ebf5aec | [
"MIT"
] | null | null | null | jaxtorch/image.py | GallagherCommaJack/jaxtorch | 3bc6785d781f12fabf3a436d9cfc0b839ebf5aec | [
"MIT"
] | null | null | null | import math
from typing import Tuple
import jax
import jax.numpy as jnp
import numpy as np
from einops import repeat
def factor_int(n: int) -> Tuple[int, int]:
f1 = int(math.ceil(math.sqrt(n)))
while n % f1:
f1 -= 1
f2 = n // f1
return min(f1, f2), max(f1, f2)
def compute_channel_change_mat... | 25.671296 | 85 | 0.544274 | 686 | 5,545 | 4.262391 | 0.198251 | 0.02736 | 0.01368 | 0.02394 | 0.575581 | 0.572161 | 0.527018 | 0.50684 | 0.471272 | 0.454856 | 0 | 0.180038 | 0.327863 | 5,545 | 215 | 86 | 25.790698 | 0.604508 | 0.027592 | 0 | 0.636364 | 0 | 0 | 0.021529 | 0 | 0 | 0 | 0 | 0 | 0.005348 | 1 | 0.042781 | false | 0 | 0.032086 | 0 | 0.128342 | 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 |
dda604bdbe931306a411dfabae424401c18dc54e | 1,210 | py | Python | 1-image2ascii/image2ascii.py | dourgey/Python_Exercise | f41d69033b76d2fea3671f751e936cb804742b57 | [
"MIT"
] | null | null | null | 1-image2ascii/image2ascii.py | dourgey/Python_Exercise | f41d69033b76d2fea3671f751e936cb804742b57 | [
"MIT"
] | null | null | null | 1-image2ascii/image2ascii.py | dourgey/Python_Exercise | f41d69033b76d2fea3671f751e936cb804742b57 | [
"MIT"
] | null | null | null | # Author: @dourgey
# Create Time: 2019/12/27: 18:06
# 主要知识点:
# argparse的使用
# 检查文件路径是否存在
# PILLOW读取图片并处理
# 文件写入
import argparse
import os
import sys
from PIL import Image
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--image", help="主人要转换的图片路径喵,默认在当前路径下读取喵~")
parser.add_argument("-f", "--file", help="... | 22 | 107 | 0.629752 | 173 | 1,210 | 4.32948 | 0.583815 | 0.028037 | 0.012016 | 0.024032 | 0.026702 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048156 | 0.193388 | 1,210 | 54 | 108 | 22.407407 | 0.719262 | 0.161157 | 0 | 0 | 0 | 0 | 0.169169 | 0.137137 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.125 | 0 | 0.21875 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
dda62a60e83b2ac0fa35757329d616e26ea6b265 | 6,536 | py | Python | python/ray/serialization.py | delding/ray | 8532ba4272556aa24b5e0c7d275c7b383815c022 | [
"Apache-2.0"
] | null | null | null | python/ray/serialization.py | delding/ray | 8532ba4272556aa24b5e0c7d275c7b383815c022 | [
"Apache-2.0"
] | null | null | null | python/ray/serialization.py | delding/ray | 8532ba4272556aa24b5e0c7d275c7b383815c022 | [
"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 ray.numbuf
import ray.pickling as pickling
def check_serializable(cls):
"""Throws an exception if Ray cannot serialize this class efficiently.
Args:
cls (type): The class t... | 35.521739 | 79 | 0.684823 | 873 | 6,536 | 4.894616 | 0.211913 | 0.057805 | 0.018722 | 0.017786 | 0.291832 | 0.250644 | 0.233092 | 0.155862 | 0.140417 | 0.121694 | 0 | 0.000794 | 0.229498 | 6,536 | 183 | 80 | 35.715847 | 0.847697 | 0.304468 | 0 | 0.158416 | 0 | 0 | 0.248928 | 0.021666 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089109 | false | 0 | 0.059406 | 0.019802 | 0.237624 | 0.009901 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
dda91173fa6aa6ba29a55f8ecc21898b460a57e2 | 3,729 | py | Python | wlcsim/FrankElastic/stonefence.py | SpakowitzLab/BasicWLC | 13edbbc8e8cd36a3586571ff4d80880fc89d30e6 | [
"MIT"
] | 1 | 2021-03-16T01:39:18.000Z | 2021-03-16T01:39:18.000Z | wlcsim/FrankElastic/stonefence.py | riscalab/wlcsim | e34877ef6c5dc83c6444380dbe624b371d70faf2 | [
"MIT"
] | 17 | 2016-07-08T21:17:40.000Z | 2017-01-24T09:05:25.000Z | wlcsim/FrankElastic/stonefence.py | riscalab/wlcsim | e34877ef6c5dc83c6444380dbe624b371d70faf2 | [
"MIT"
] | 9 | 2016-06-21T22:03:53.000Z | 2016-11-10T00:55:01.000Z | from numpy import sqrt
import numpy as np
#from util import sphinx_compat_jit as jit
from numba import jit
ORDER_L=50
@jit
def alpha(l,m):
return sqrt((3*(l-m)*(l+m))/(4*np.pi*(2*l-1)*(2*l+1)))
@jit
def alpha_plus(l,m):
return sqrt((3*(l+m)*(l+m+1))/(8*np.pi*(2*l-1)*(2*l+1)))
@jit
def Alm(l,m):
retu... | 30.565574 | 79 | 0.592116 | 629 | 3,729 | 3.434022 | 0.193959 | 0.05 | 0.025926 | 0.036111 | 0.415741 | 0.342593 | 0.28287 | 0.231944 | 0.180093 | 0.075463 | 0 | 0.028017 | 0.253419 | 3,729 | 121 | 80 | 30.818182 | 0.747845 | 0.281845 | 0 | 0.173333 | 0 | 0 | 0.008942 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.04 | 0.053333 | 0.306667 | 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 |
ddaa279788a0d07cc55b56c6e5a215a8e2e118cc | 9,283 | py | Python | controllers/default.py | npfe/pursuit | edd2d66ec0770251041b748c4b9f967a15c138b5 | [
"Unlicense"
] | null | null | null | controllers/default.py | npfe/pursuit | edd2d66ec0770251041b748c4b9f967a15c138b5 | [
"Unlicense"
] | 16 | 2020-03-30T13:00:10.000Z | 2020-05-16T16:42:52.000Z | controllers/default.py | npfe/pursuit | edd2d66ec0770251041b748c4b9f967a15c138b5 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
# -------------------------------------------------------------------------
# This is a sample controller
# this file is released under public domain and you can use without limitations
# -------------------------------------------------------------------------
import json
from datetime import d... | 39.004202 | 129 | 0.596251 | 1,229 | 9,283 | 4.412531 | 0.179821 | 0.030979 | 0.028766 | 0.024894 | 0.286373 | 0.229947 | 0.189747 | 0.189747 | 0.154896 | 0.154896 | 0 | 0.011268 | 0.254336 | 9,283 | 237 | 130 | 39.168776 | 0.772176 | 0.163632 | 0 | 0.306011 | 0 | 0 | 0.077033 | 0.021139 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0 | 0.016393 | 0 | 0.169399 | 0.010929 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |