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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3e6b0a9948d6ab9ae3bf82cdb88963f7746825d0 | 334 | py | Python | consultas/urls.py | Valarr/django-app | 2faac602ce5f36dc9007d4af7a3acd38504f4f95 | [
"MIT"
] | null | null | null | consultas/urls.py | Valarr/django-app | 2faac602ce5f36dc9007d4af7a3acd38504f4f95 | [
"MIT"
] | null | null | null | consultas/urls.py | Valarr/django-app | 2faac602ce5f36dc9007d4af7a3acd38504f4f95 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('consultaticket', views.consultaticket, name='consultaticket'),
path('consultadecredito', views.consultadecredito, name='consultadecredito'),
path('mostrarticket', views.mostrarticket, name='most... | 33.4 | 81 | 0.730539 | 32 | 334 | 7.625 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122754 | 334 | 10 | 82 | 33.4 | 0.832765 | 0 | 0 | 0 | 0 | 0 | 0.277612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 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 |
3e6c1c6b5fbe5a4ffcca63260b56292216d80f44 | 1,973 | py | Python | order_history.py | zylizy/DBMS_Project | d6ff25d566a362495e3b4eb68d48d8400f2f20e6 | [
"MIT"
] | null | null | null | order_history.py | zylizy/DBMS_Project | d6ff25d566a362495e3b4eb68d48d8400f2f20e6 | [
"MIT"
] | null | null | null | order_history.py | zylizy/DBMS_Project | d6ff25d566a362495e3b4eb68d48d8400f2f20e6 | [
"MIT"
] | null | null | null | import streamlit as st
from db_functions import *
def order_history():
st.title("Order History")
sorts = ['None','category','time']
sql_userids = f"select pk_user_id from Users"
user_ids = query_db(sql_userids)['pk_user_id'].tolist()
user_id = st.selectbox("Please select your userid", user_ids)
... | 51.921053 | 115 | 0.611759 | 313 | 1,973 | 3.613419 | 0.217252 | 0.058355 | 0.035367 | 0.044209 | 0.342175 | 0.322723 | 0.322723 | 0.322723 | 0.262599 | 0.262599 | 0 | 0.000706 | 0.281804 | 1,973 | 38 | 116 | 51.921053 | 0.797459 | 0.017739 | 0 | 0.15625 | 0 | 0.125 | 0.469008 | 0.071281 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.0625 | 0 | 0.09375 | 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 |
3e6d175a2c46fd4c086a5aa6dbda506eabe35fd4 | 1,415 | py | Python | cogs/commands/utility/8ball.py | teSill/temflix | 31d40265fa71695966c6178145a1057cd2aeda27 | [
"MIT"
] | 3 | 2020-12-21T20:51:56.000Z | 2022-01-04T11:55:45.000Z | cogs/commands/utility/8ball.py | teSill/temflix | 31d40265fa71695966c6178145a1057cd2aeda27 | [
"MIT"
] | null | null | null | cogs/commands/utility/8ball.py | teSill/temflix | 31d40265fa71695966c6178145a1057cd2aeda27 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import random
class EightBall(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(aliases=["8ball", "8-ball"], description="Have the magic 8-ball answer your most burning questions.")
async def eight_ball(self, ctx):
... | 36.282051 | 123 | 0.466431 | 150 | 1,415 | 4.36 | 0.566667 | 0.030581 | 0.015291 | 0.027523 | 0.12844 | 0.12844 | 0.12844 | 0.12844 | 0.12844 | 0.12844 | 0 | 0.003741 | 0.433216 | 1,415 | 38 | 124 | 37.236842 | 0.811721 | 0 | 0 | 0 | 0 | 0 | 0.359717 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.090909 | 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 |
3e74eb605f50a2789671592734f1dea5fd163012 | 918 | py | Python | gharchive/parse_json.py | IAMABOY/Mining-Github | cf11c94e72b11f3ce9d638b562df438c8e56d149 | [
"MIT"
] | 8 | 2019-12-08T11:57:59.000Z | 2022-01-24T06:26:56.000Z | gharchive/parse_json.py | IAMABOY/Mining-Github | cf11c94e72b11f3ce9d638b562df438c8e56d149 | [
"MIT"
] | null | null | null | gharchive/parse_json.py | IAMABOY/Mining-Github | cf11c94e72b11f3ce9d638b562df438c8e56d149 | [
"MIT"
] | 2 | 2019-12-17T02:38:55.000Z | 2021-12-16T01:53:11.000Z | import sys
import os
import json
import gzip
def jsonReader(inputJsonFilePath,pos):
flag = False
with gzip.open(inputJsonFilePath, 'r') as jsonContent:
for rowNumber, line in enumerate(jsonContent, start=1):
try:
#此处加上flag的目的在于,当程序挂掉时候,可以根据域名从指定位置开始,不必重头开始跑
... | 24.157895 | 63 | 0.484749 | 85 | 918 | 5.141176 | 0.623529 | 0.032037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025 | 0.433551 | 918 | 38 | 64 | 24.157895 | 0.815385 | 0.046841 | 0 | 0.12 | 0 | 0 | 0.038857 | 0.024 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.16 | 0 | 0.2 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e753e4b76a7bccde83190218fa4e3ea302764fe | 393 | py | Python | iotalib/check_roof.py | WWGolay/iota | f3e67502d7f96bb836b45b7eca4ebb9fe5490e6d | [
"MIT"
] | null | null | null | iotalib/check_roof.py | WWGolay/iota | f3e67502d7f96bb836b45b7eca4ebb9fe5490e6d | [
"MIT"
] | null | null | null | iotalib/check_roof.py | WWGolay/iota | f3e67502d7f96bb836b45b7eca4ebb9fe5490e6d | [
"MIT"
] | null | null | null | #!/usr/bin/python
import pycurl
from io import BytesIO
def checkOpen():
isOpen = False
buffer = BytesIO()
c = pycurl.Curl()
c.setopt(c.URL, 'https://www.winer.org/Site/Roof.php')
c.setopt(c.WRITEDATA, buffer)
c.perform()
c.close()
body = buffer.getvalue()
if body.fi... | 21.833333 | 59 | 0.592875 | 52 | 393 | 4.480769 | 0.711538 | 0.060086 | 0.06867 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003436 | 0.259542 | 393 | 18 | 60 | 21.833333 | 0.797251 | 0.040712 | 0 | 0 | 0 | 0 | 0.144444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.142857 | 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 |
3e7863d676fdd4741e30575b304165077d18541c | 2,238 | py | Python | egg/app.py | eanorambuena/Driver | 3cb14f5d741c6bae364326305ae0ded04e10e9d4 | [
"MIT"
] | null | null | null | egg/app.py | eanorambuena/Driver | 3cb14f5d741c6bae364326305ae0ded04e10e9d4 | [
"MIT"
] | null | null | null | egg/app.py | eanorambuena/Driver | 3cb14f5d741c6bae364326305ae0ded04e10e9d4 | [
"MIT"
] | null | null | null | # Imports
from egg.resources.console import get, clearConsole
from egg.resources.constants import *
from egg.resources.modules import install, upgrade, Repo
from egg.resources.help import help
from egg.resources.auth import login, register
"""
FUNCTION eggConsole(condition: bool = True)
Display the Egg Console
Curren... | 32.434783 | 113 | 0.605004 | 271 | 2,238 | 4.99262 | 0.357934 | 0.033259 | 0.059128 | 0.039911 | 0.075388 | 0.039911 | 0 | 0 | 0 | 0 | 0 | 0.000637 | 0.298034 | 2,238 | 69 | 114 | 32.434783 | 0.860598 | 0.00983 | 0 | 0.136364 | 0 | 0 | 0.115357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0.022727 | 0.159091 | 0 | 0.204545 | 0.136364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e7d231b81300bc8be65b86f6758957fdbb26baa | 653 | py | Python | backend-project/small_eod/users/models.py | merito/small_eod | ab19b82f374cd7c4b21d8f9412657dbe7f7f03e2 | [
"MIT"
] | 64 | 2019-12-30T11:24:03.000Z | 2021-06-24T01:04:56.000Z | backend-project/small_eod/users/models.py | merito/small_eod | ab19b82f374cd7c4b21d8f9412657dbe7f7f03e2 | [
"MIT"
] | 465 | 2018-06-13T21:43:43.000Z | 2022-01-04T23:33:56.000Z | backend-project/small_eod/users/models.py | merito/small_eod | ab19b82f374cd7c4b21d8f9412657dbe7f7f03e2 | [
"MIT"
] | 72 | 2018-12-02T19:47:03.000Z | 2022-01-04T22:54:49.000Z | from django.contrib.auth.models import AbstractUser
from ..notifications.utils import TemplateKey, TemplateMailManager
class User(AbstractUser):
def notify(self, **kwargs):
kwargs["user"] = self
enabled = self.get_enabled_notifications()
key = getattr(
TemplateKey, f"{kwargs['... | 29.681818 | 79 | 0.658499 | 67 | 653 | 6.298507 | 0.58209 | 0.047393 | 0.109005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.240429 | 653 | 21 | 80 | 31.095238 | 0.850806 | 0 | 0 | 0 | 0 | 0 | 0.062787 | 0.056662 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.0625 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e7efc62df24d3372d57ba9f3602f16dfbfbeff6 | 2,689 | py | Python | rtlsdr_sstv/utils.py | martinber/rtlsdr_sstv | f59ca523408e949f98c4b81b09b2d46232111f4a | [
"MIT"
] | 3 | 2019-03-16T01:20:09.000Z | 2020-12-31T12:31:17.000Z | rtlsdr_sstv/utils.py | martinber/rtlsdr_sstv | f59ca523408e949f98c4b81b09b2d46232111f4a | [
"MIT"
] | null | null | null | rtlsdr_sstv/utils.py | martinber/rtlsdr_sstv | f59ca523408e949f98c4b81b09b2d46232111f4a | [
"MIT"
] | 1 | 2020-12-27T02:31:18.000Z | 2020-12-27T02:31:18.000Z | import collections
import math
import numpy as np
def mapeadora(value):
valor_mapeado = int((value-1500)/800*255)
return valor_mapeado
def escribir_pixel(img, columna, linea, canal, valor):
'''funcion encargada de escribir pixel por pixel la imagen'''
if linea >= img.height:
return
if can... | 29.549451 | 80 | 0.581629 | 368 | 2,689 | 4.19837 | 0.296196 | 0.100971 | 0.058252 | 0.085437 | 0.368932 | 0.311974 | 0.272492 | 0.272492 | 0.262783 | 0.262783 | 0 | 0.039115 | 0.277427 | 2,689 | 90 | 81 | 29.877778 | 0.756047 | 0.132391 | 0 | 0.262295 | 0 | 0 | 0.006111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0.032787 | 0.04918 | 0 | 0.163934 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e7f9f610ed95d40e15a8580e0dd70e9219fb93d | 3,653 | py | Python | Pong.py | Mishkanian/pong_game | 5a04b4b5fc36af2159e60fb85941034a2325996c | [
"MIT"
] | null | null | null | Pong.py | Mishkanian/pong_game | 5a04b4b5fc36af2159e60fb85941034a2325996c | [
"MIT"
] | null | null | null | Pong.py | Mishkanian/pong_game | 5a04b4b5fc36af2159e60fb85941034a2325996c | [
"MIT"
] | 1 | 2021-11-15T20:21:53.000Z | 2021-11-15T20:21:53.000Z | """
Pong game by Michael Mishkanian
"""
import turtle
wn = turtle.Screen()
wn.title("Pong by Michael Mishkanian")
wn.bgcolor("black")
wn.setup(width=800, height=600)
wn.tracer(0)
# Paddle A
paddle_a = turtle.Turtle()
paddle_a.speed(0)
paddle_a.shape("square")
paddle_a.color("white")
paddle_a.shapesize(stretch_wid=5, ... | 26.280576 | 120 | 0.611005 | 565 | 3,653 | 3.854867 | 0.215929 | 0.067493 | 0.031221 | 0.034894 | 0.583563 | 0.55877 | 0.506887 | 0.455464 | 0.402204 | 0.402204 | 0 | 0.043952 | 0.246373 | 3,653 | 138 | 121 | 26.471014 | 0.747185 | 0.266083 | 0 | 0.284091 | 0 | 0 | 0.081522 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.011364 | 0 | 0.056818 | 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 |
3e83c39b04f2c10f748cc83b7509198a99b52216 | 1,432 | py | Python | clean.py | glqstrauss/oopsgenie | d1984e332b11f972db2008867f1aba0917457b9b | [
"MIT"
] | 5 | 2020-01-02T21:15:31.000Z | 2020-07-29T18:01:51.000Z | clean.py | glqstrauss/oopsgenie | d1984e332b11f972db2008867f1aba0917457b9b | [
"MIT"
] | 2 | 2020-01-07T15:36:44.000Z | 2020-01-13T20:38:45.000Z | clean.py | glqstrauss/oopsgenie | d1984e332b11f972db2008867f1aba0917457b9b | [
"MIT"
] | 1 | 2020-07-29T17:10:32.000Z | 2020-07-29T17:10:32.000Z | import csv
from utils import get_valid_colum_indices
class Cleaner():
def clean(file, clean_columns, remove):
print ("Cleaning {}".format(file))
print ("For columns {}".format(clean_columns))
new_file = file[0:-7] + "clean.csv"
with open(file, 'r') as raw_file:
reader... | 34.926829 | 73 | 0.48743 | 143 | 1,432 | 4.72028 | 0.398601 | 0.106667 | 0.038519 | 0.059259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003641 | 0.424581 | 1,432 | 41 | 74 | 34.926829 | 0.815534 | 0 | 0 | 0.060606 | 0 | 0 | 0.05792 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.060606 | 0 | 0.151515 | 0.121212 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e8a5b0b6fc0612db9638f1736e52adef498431d | 37,129 | py | Python | morm/db.py | neurobin/python-morm | 2b6dcedc7090a9e642331300a24dfcca41ea1afe | [
"BSD-3-Clause"
] | 4 | 2021-03-12T16:36:24.000Z | 2022-03-06T09:26:14.000Z | morm/db.py | neurobin/python-morm | 2b6dcedc7090a9e642331300a24dfcca41ea1afe | [
"BSD-3-Clause"
] | null | null | null | morm/db.py | neurobin/python-morm | 2b6dcedc7090a9e642331300a24dfcca41ea1afe | [
"BSD-3-Clause"
] | null | null | null | """DB utilities.
"""
__author__ = 'Md Jahidul Hamid <jahidulhamid@yahoo.com>'
__copyright__ = 'Copyright © Md Jahidul Hamid <https://github.com/neurobin/>'
__license__ = '[BSD](http://www.opensource.org/licenses/bsd-license.php)'
__version__ = '0.1.0'
import collections
import re
import asyncio
import nest_asyncio #... | 33.969808 | 267 | 0.577177 | 4,602 | 37,129 | 4.538027 | 0.125815 | 0.017717 | 0.014078 | 0.011061 | 0.351992 | 0.292521 | 0.262354 | 0.231134 | 0.189667 | 0.171854 | 0 | 0.005954 | 0.321474 | 37,129 | 1,092 | 268 | 34.000916 | 0.822967 | 0.348299 | 0 | 0.239691 | 0 | 0.005155 | 0.08693 | 0.025129 | 0 | 0 | 0 | 0.000916 | 0 | 1 | 0.095361 | false | 0.002577 | 0.033505 | 0.005155 | 0.268041 | 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 |
3e8c2e49f52c5a966e053c091e7e268d680d58d4 | 2,397 | py | Python | cvxpy/reductions/solvers/conic_solvers/super_scs_conif.py | mostafaelaraby/cvxpy | 078e025be8b8315b5f579bd0209e8e3a1e2a2a19 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-09-24T12:59:45.000Z | 2021-09-24T13:00:08.000Z | cvxpy/reductions/solvers/conic_solvers/super_scs_conif.py | mostafaelaraby/cvxpy | 078e025be8b8315b5f579bd0209e8e3a1e2a2a19 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cvxpy/reductions/solvers/conic_solvers/super_scs_conif.py | mostafaelaraby/cvxpy | 078e025be8b8315b5f579bd0209e8e3a1e2a2a19 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-04-12T05:17:18.000Z | 2020-04-12T05:17:18.000Z | """
Copyright 2018 Riley Murray
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
d... | 33.291667 | 88 | 0.635378 | 318 | 2,397 | 4.669811 | 0.399371 | 0.059259 | 0.040404 | 0.051178 | 0.078114 | 0.051178 | 0 | 0 | 0 | 0 | 0 | 0.009159 | 0.271172 | 2,397 | 71 | 89 | 33.760563 | 0.84087 | 0.377138 | 0 | 0.064516 | 0 | 0 | 0.024158 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.193548 | 0.032258 | 0.419355 | 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 |
e40f115d7100a36cb4b801ec2f9f1a7a1eb33d05 | 4,984 | py | Python | linear_model.py | gavb222/flatpanel-localize | 6504eb94379f5df268ae280f996c7dd66f063e4e | [
"MIT"
] | 1 | 2021-02-01T18:17:11.000Z | 2021-02-01T18:17:11.000Z | linear_model.py | gavb222/flatpanel-localize | 6504eb94379f5df268ae280f996c7dd66f063e4e | [
"MIT"
] | null | null | null | linear_model.py | gavb222/flatpanel-localize | 6504eb94379f5df268ae280f996c7dd66f063e4e | [
"MIT"
] | 1 | 2021-02-01T18:07:12.000Z | 2021-02-01T18:07:12.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import time
import random
import matlab.engine
def gaussian(spread):
#spread controls the size of the array
linspace = torch.linspace(-2.5,2.5,spread)
# gaussian = e^((-x)^2/2) when standard dev is 1 and height is 1
... | 33.006623 | 131 | 0.647673 | 765 | 4,984 | 4.040523 | 0.249673 | 0.029117 | 0.032028 | 0.03494 | 0.213847 | 0.162731 | 0.052734 | 0.025558 | 0.018764 | 0 | 0 | 0.041967 | 0.220706 | 4,984 | 150 | 132 | 33.226667 | 0.753862 | 0.215891 | 0 | 0.068182 | 0 | 0 | 0.00268 | 0 | 0 | 0 | 0 | 0.006667 | 0 | 1 | 0.068182 | false | 0 | 0.079545 | 0 | 0.238636 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e40f68af3b51a18af4106a68a0e2666e5541b720 | 4,438 | py | Python | client/client.py | s-ball/remo_serv | 66accbd77183db0628a9618cf258656ec2d81316 | [
"MIT"
] | null | null | null | client/client.py | s-ball/remo_serv | 66accbd77183db0628a9618cf258656ec2d81316 | [
"MIT"
] | null | null | null | client/client.py | s-ball/remo_serv | 66accbd77183db0628a9618cf258656ec2d81316 | [
"MIT"
] | null | null | null | # Copyright (c) 2020 SBA- MIT License
import getpass
import argparse
import sys
import cmd
import shlex
from urllib.error import HTTPError
from cryptography.hazmat.primitives import serialization
from client.clientlib import login, Connection
from client import smartcard
def parse2(arg):
args = list(shlex.sp... | 30.190476 | 83 | 0.570077 | 555 | 4,438 | 4.45045 | 0.275676 | 0.018219 | 0.048178 | 0.043725 | 0.255061 | 0.255061 | 0.209717 | 0.209717 | 0.209717 | 0.181377 | 0 | 0.008157 | 0.309374 | 4,438 | 146 | 84 | 30.39726 | 0.797716 | 0.1032 | 0 | 0.318182 | 0 | 0 | 0.102238 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.118182 | false | 0.018182 | 0.081818 | 0 | 0.254545 | 0.109091 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e410307635af99e3b3cc52fdda648a0910806c95 | 1,867 | py | Python | unfollower.py | Sam-F90/unfollower | feee9815f440d3a654f77a21ec84680ac92022c1 | [
"MIT"
] | null | null | null | unfollower.py | Sam-F90/unfollower | feee9815f440d3a654f77a21ec84680ac92022c1 | [
"MIT"
] | null | null | null | unfollower.py | Sam-F90/unfollower | feee9815f440d3a654f77a21ec84680ac92022c1 | [
"MIT"
] | null | null | null | import tweepy
import datetime
import os
# get keys from evironment variable "TWITTER_KEYS"
TWITTER_API_KEYS = (os.environ.get("TWITTER_KEYS").split(","))
consumer_key,consumer_secret,access_token_key,access_token_secret = TWITTER_API_KEYS
# Authenticate to Twitter
auth = tweepy.OAuthHandler(consumer_key, consumer_se... | 27.455882 | 139 | 0.719336 | 285 | 1,867 | 4.536842 | 0.364912 | 0.042537 | 0.020882 | 0.03867 | 0.098995 | 0.098995 | 0.051044 | 0.051044 | 0.051044 | 0.051044 | 0 | 0 | 0.149438 | 1,867 | 68 | 140 | 27.455882 | 0.814232 | 0.225495 | 0 | 0 | 0 | 0 | 0.084438 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4129e9fa1ffc789238869830a16a81f822bb51c | 2,113 | py | Python | alpha/NN/autoencoders/charlie.py | DanielBerns/keras-effective-adventure | d9bc8c08f769f0c07379d2a3756d040ca14239f2 | [
"MIT"
] | null | null | null | alpha/NN/autoencoders/charlie.py | DanielBerns/keras-effective-adventure | d9bc8c08f769f0c07379d2a3756d040ca14239f2 | [
"MIT"
] | null | null | null | alpha/NN/autoencoders/charlie.py | DanielBerns/keras-effective-adventure | d9bc8c08f769f0c07379d2a3756d040ca14239f2 | [
"MIT"
] | null | null | null | # https://medium.com/datadriveninvestor/deep-autoencoder-using-keras-b77cd3e8be95
from keras.datasets import mnist
from keras.layers import Input, Dense
from keras.models import Model
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
(X_train, _), (X_test, _) = mnist.load_data()
X_train = X_trai... | 27.802632 | 87 | 0.69664 | 310 | 2,113 | 4.596774 | 0.329032 | 0.045614 | 0.063158 | 0.025263 | 0.317895 | 0.271579 | 0.178947 | 0.178947 | 0.146667 | 0.146667 | 0 | 0.040851 | 0.154283 | 2,113 | 75 | 88 | 28.173333 | 0.756575 | 0.073355 | 0 | 0.173077 | 0 | 0 | 0.046107 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.115385 | 0 | 0.115385 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4137613cb4a7761df5564e9e723f2867c6f080e | 5,569 | py | Python | tests/pages/alert_box_page.py | nairraghav/selenium-example | 88e4316a75bcd7feced65489c0ffe1b8c2b8487b | [
"MIT"
] | null | null | null | tests/pages/alert_box_page.py | nairraghav/selenium-example | 88e4316a75bcd7feced65489c0ffe1b8c2b8487b | [
"MIT"
] | null | null | null | tests/pages/alert_box_page.py | nairraghav/selenium-example | 88e4316a75bcd7feced65489c0ffe1b8c2b8487b | [
"MIT"
] | null | null | null | class AlertBoxPage:
def __init__(self, driver):
self.driver = driver
self.title_css = "h1"
self.title_text = "Alert Box Examples"
self.explanation_css = "div.explanation > p"
self.explanation_text = (
"There are three main JavaScript methods "
"which ... | 40.355072 | 88 | 0.644101 | 690 | 5,569 | 4.831884 | 0.146377 | 0.071986 | 0.071386 | 0.10078 | 0.64847 | 0.444811 | 0.440912 | 0.377325 | 0.358428 | 0.311638 | 0 | 0.000989 | 0.274017 | 5,569 | 137 | 89 | 40.649635 | 0.823646 | 0 | 0 | 0.309524 | 0 | 0 | 0.147064 | 0.014186 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.047619 | false | 0 | 0 | 0 | 0.079365 | 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 |
e414c3ce91122f63e50497c6f5b8998f2cc88f9e | 3,893 | py | Python | padmini/prakarana/dvitva.py | sanskrit/padmini | 8e7e8946a7d2df9c941f689ea4bc7b6ebb7ca1d0 | [
"MIT"
] | 1 | 2022-03-01T05:05:04.000Z | 2022-03-01T05:05:04.000Z | padmini/prakarana/dvitva.py | sanskrit/padmini | 8e7e8946a7d2df9c941f689ea4bc7b6ebb7ca1d0 | [
"MIT"
] | null | null | null | padmini/prakarana/dvitva.py | sanskrit/padmini | 8e7e8946a7d2df9c941f689ea4bc7b6ebb7ca1d0 | [
"MIT"
] | null | null | null | from padmini import filters as f
from padmini import operations as op
from padmini.constants import Tag as T
from padmini.sounds import s
from padmini.prakriya import Term, Prakriya
from padmini.term_views import TermView
from padmini.prakarana.utils import eka_ac
def _double(rule: str, p: Prakriya, dhatu: Term, i: i... | 31.144 | 81 | 0.554585 | 610 | 3,893 | 3.47541 | 0.247541 | 0.013208 | 0.049057 | 0.075472 | 0.396226 | 0.315094 | 0.242453 | 0.172642 | 0.149057 | 0.062264 | 0 | 0.025173 | 0.295916 | 3,893 | 124 | 82 | 31.395161 | 0.748267 | 0.12972 | 0 | 0.255814 | 0 | 0 | 0.048961 | 0 | 0 | 0 | 0 | 0.008065 | 0 | 1 | 0.034884 | false | 0 | 0.081395 | 0 | 0.127907 | 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 |
e4160c8bd63d807a761f9c2eb1581d092fef5ff0 | 449 | py | Python | modules/dbnd-airflow/src/dbnd_airflow/scheduler/dags/dbnd_dropin_scheduler.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | null | null | null | modules/dbnd-airflow/src/dbnd_airflow/scheduler/dags/dbnd_dropin_scheduler.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | null | null | null | modules/dbnd-airflow/src/dbnd_airflow/scheduler/dags/dbnd_dropin_scheduler.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | null | null | null | import logging
logger = logging.getLogger("dbnd-scheduler")
try:
from dbnd_airflow.scheduler.scheduler_dags_provider import get_dags
# airflow will only scan files containing the text DAG or airflow. This comment performs this function
dags = get_dags()
if dags:
for dag in dags:
... | 24.944444 | 106 | 0.710468 | 63 | 449 | 4.968254 | 0.634921 | 0.067093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.224944 | 449 | 17 | 107 | 26.411765 | 0.899425 | 0.222717 | 0 | 0 | 0 | 0 | 0.152738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 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 |
e41914e68f6a31dadb107fe8bb9eaf841bed6173 | 4,268 | py | Python | tanacompendium/utils/modelmanagers.py | nkoech/tanacompendium | b4fd81b23f2c8263735806765d93eb4a70be8aba | [
"MIT"
] | null | null | null | tanacompendium/utils/modelmanagers.py | nkoech/tanacompendium | b4fd81b23f2c8263735806765d93eb4a70be8aba | [
"MIT"
] | null | null | null | tanacompendium/utils/modelmanagers.py | nkoech/tanacompendium | b4fd81b23f2c8263735806765d93eb4a70be8aba | [
"MIT"
] | null | null | null | import datetime
from django.contrib.contenttypes.models import ContentType
from django.db.models import FieldDoesNotExist
from django.db.models.base import ObjectDoesNotExist
def create_model_type(instance, model_type, key, slugify, **kwargs):
"""
Create object by model type
:param instance: Model manager... | 34.419355 | 112 | 0.684161 | 561 | 4,268 | 5.016043 | 0.194296 | 0.072495 | 0.037313 | 0.049751 | 0.366382 | 0.341507 | 0.290334 | 0.261905 | 0.246979 | 0.246979 | 0 | 0.001856 | 0.242502 | 4,268 | 123 | 113 | 34.699187 | 0.868543 | 0.376054 | 0 | 0.172414 | 0 | 0 | 0.013508 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12069 | false | 0 | 0.068966 | 0 | 0.396552 | 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 |
e4193bf7c1b3cd811dde985083067c06d301bbfb | 2,588 | py | Python | deletion_test.py | tjake/cassandra-dtest | df49e4f16b2ed8b9c38f767fffd796ae3d9cc6f3 | [
"Apache-2.0"
] | null | null | null | deletion_test.py | tjake/cassandra-dtest | df49e4f16b2ed8b9c38f767fffd796ae3d9cc6f3 | [
"Apache-2.0"
] | null | null | null | deletion_test.py | tjake/cassandra-dtest | df49e4f16b2ed8b9c38f767fffd796ae3d9cc6f3 | [
"Apache-2.0"
] | null | null | null | from dtest import Tester
import os, sys, time
from ccmlib.cluster import Cluster
from tools import require, since
from jmxutils import make_mbean, JolokiaAgent
class TestDeletion(Tester):
def gc_test(self):
""" Test that tombstone are fully purge after gc_grace """
cluster = self.cluster
... | 34.052632 | 91 | 0.632921 | 336 | 2,588 | 4.785714 | 0.324405 | 0.064677 | 0.037313 | 0.046642 | 0.304726 | 0.295398 | 0.198383 | 0.198383 | 0.126866 | 0.069652 | 0 | 0.027806 | 0.235703 | 2,588 | 75 | 92 | 34.506667 | 0.785137 | 0.031685 | 0 | 0.226415 | 0 | 0 | 0.131253 | 0 | 0 | 0 | 0 | 0 | 0.09434 | 1 | 0.09434 | false | 0 | 0.09434 | 0.018868 | 0.264151 | 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 |
e41c425d0ed1f3d737beeff6b6c0f31113fafb62 | 768 | py | Python | multicasting_test_scripts/sender.py | sandwichdoge/libmulticastudp | 735a3a6242d5444f9a5a070322a7033296707cdf | [
"MIT"
] | null | null | null | multicasting_test_scripts/sender.py | sandwichdoge/libmulticastudp | 735a3a6242d5444f9a5a070322a7033296707cdf | [
"MIT"
] | null | null | null | multicasting_test_scripts/sender.py | sandwichdoge/libmulticastudp | 735a3a6242d5444f9a5a070322a7033296707cdf | [
"MIT"
] | null | null | null | #
# mostly copied from
# http://bioportal.weizmann.ac.il/course/python/PyMOTW/PyMOTW/docs/socket/multicast.html
#
import socket
import struct
import sys
import time
message = 'data worth repeating'
multicast_group = ('226.1.1.1', 4321)
# Create the datagram socket
sock = socket.socket(socket.AF_INET, socket.SOCK_D... | 20.756757 | 90 | 0.670573 | 105 | 768 | 4.866667 | 0.628571 | 0.082192 | 0.054795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025042 | 0.220052 | 768 | 36 | 91 | 21.333333 | 0.828047 | 0.328125 | 0 | 0 | 0 | 0 | 0.116371 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e42510b046e5ad727d96dec824908363abd5654f | 852 | py | Python | python/chol_factor_test.py | davxy/numeric | 1e8b44a72e1d570433a5ba81ae0795a750ce5921 | [
"Unlicense"
] | 2 | 2020-05-03T17:02:44.000Z | 2022-02-21T04:09:34.000Z | python/chol_factor_test.py | davxy/numeric | 1e8b44a72e1d570433a5ba81ae0795a750ce5921 | [
"Unlicense"
] | null | null | null | python/chol_factor_test.py | davxy/numeric | 1e8b44a72e1d570433a5ba81ae0795a750ce5921 | [
"Unlicense"
] | null | null | null | import numpy as np
from chol_factor import chol_factor
from triangular import triangular
# TEST: Cholesky factorization (LL')
# Symmetric positive definite matrix
A = np.matrix('5 1.2 0.3 -0.6;'
'1.2 6 -0.4 0.9;'
'0.3 -0.4 8 1.7;'
'-0.6 0.9 1.7 10');
print('A = ... | 23.027027 | 53 | 0.580986 | 150 | 852 | 3.28 | 0.373333 | 0.060976 | 0.012195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064815 | 0.239437 | 852 | 36 | 54 | 23.666667 | 0.694444 | 0.190141 | 0 | 0 | 0 | 0 | 0.264706 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.136364 | 0 | 0.136364 | 0.272727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4257523a5f56faf33e09f713fd3a02e93109a4b | 11,245 | py | Python | PSO_system/GUI/gui_root.py | daniel4lee/PSO-car-simulator | b4aebca0fed614e33acc3e7d665085d55a67b82a | [
"MIT"
] | 1 | 2022-03-23T21:51:59.000Z | 2022-03-23T21:51:59.000Z | PSO_system/GUI/gui_root.py | daniel4lee/PSO-car-simulator | b4aebca0fed614e33acc3e7d665085d55a67b82a | [
"MIT"
] | 1 | 2018-10-08T12:53:42.000Z | 2018-10-08T13:46:13.000Z | PSO_system/GUI/gui_root.py | daniel4lee/PSO-car-simulator | b4aebca0fed614e33acc3e7d665085d55a67b82a | [
"MIT"
] | 2 | 2020-04-26T08:22:53.000Z | 2021-05-18T09:51:24.000Z | """Build the tkinter gui root"""
import math
from PyQt5.QtWidgets import *#(QWidget, QToolTip, QDesktopWidget, QPushButton, QApplication)
from PyQt5.QtGui import QFont
from PyQt5.QtCore import QCoreApplication, QObject, QRunnable, QThread, QThreadPool, pyqtSignal, pyqtSlot
from PyQt5.QtGui import QIntValidator, QDoubl... | 41.494465 | 139 | 0.649355 | 1,396 | 11,245 | 4.984241 | 0.161175 | 0.049583 | 0.035499 | 0.024432 | 0.237281 | 0.136677 | 0.088675 | 0.088675 | 0.08307 | 0.08307 | 0 | 0.020826 | 0.23566 | 11,245 | 270 | 140 | 41.648148 | 0.788714 | 0.052557 | 0 | 0.076596 | 0 | 0 | 0.061251 | 0.015266 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051064 | false | 0 | 0.042553 | 0 | 0.097872 | 0.004255 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e425b8c86c1c0699016fdb4cfc8b01eea833c4f2 | 2,346 | py | Python | qsrlib/src/qsrlib_qsrs/qsr_cardinal_direction.py | alexiatoumpa/QSR_Detector | ff92a128dddb613690a49a7b4130afeac0dd4381 | [
"MIT"
] | 15 | 2015-06-15T16:50:37.000Z | 2022-03-27T09:25:56.000Z | qsrlib/src/qsrlib_qsrs/qsr_cardinal_direction.py | alexiatoumpa/QSR_Detector | ff92a128dddb613690a49a7b4130afeac0dd4381 | [
"MIT"
] | 205 | 2015-01-22T12:02:59.000Z | 2022-03-29T11:59:55.000Z | qsrlib/src/qsrlib_qsrs/qsr_cardinal_direction.py | alexiatoumpa/QSR_Detector | ff92a128dddb613690a49a7b4130afeac0dd4381 | [
"MIT"
] | 16 | 2015-02-04T23:13:18.000Z | 2022-03-08T13:45:53.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function, division
from qsrlib_qsrs.qsr_dyadic_abstractclass import QSR_Dyadic_1t_Abstractclass
import math
class QSR_Cardinal_Direction(QSR_Dyadic_1t_Abstractclass):
"""Cardinal direction relations.
Values of the abstract properties
* **_unique_id*... | 31.28 | 118 | 0.561381 | 307 | 2,346 | 4.123779 | 0.439739 | 0.015798 | 0.047393 | 0.037915 | 0.131122 | 0.091627 | 0.091627 | 0.053712 | 0.053712 | 0.053712 | 0 | 0.036992 | 0.297101 | 2,346 | 74 | 119 | 31.702703 | 0.730746 | 0.373402 | 0 | 0 | 0 | 0 | 0.043257 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.103448 | 0 | 0.448276 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4287373cf648c93ed322e508af33deff1f8e862 | 4,291 | py | Python | clustering/GMM.py | peasant98/NBA-Stats-Clustering | 57ff7e70a8cbb0c609d6a6720134a37695e2a860 | [
"MIT"
] | null | null | null | clustering/GMM.py | peasant98/NBA-Stats-Clustering | 57ff7e70a8cbb0c609d6a6720134a37695e2a860 | [
"MIT"
] | null | null | null | clustering/GMM.py | peasant98/NBA-Stats-Clustering | 57ff7e70a8cbb0c609d6a6720134a37695e2a860 | [
"MIT"
] | null | null | null | # NBA Stats Clustering
# Copyright Matthew Strong, 2019
# gaussian mixture models with em algorithm
import numpy as np
from scipy import stats
from clustering.Cluster import NBACluster
# nba gmm class
# gmm from scratch as well, more explained below
class NBAGMM(NBACluster):
def fit(self):
self.method = '... | 40.102804 | 120 | 0.554649 | 597 | 4,291 | 3.891122 | 0.286432 | 0.028412 | 0.034438 | 0.028412 | 0.093844 | 0.066294 | 0.033577 | 0.019802 | 0.019802 | 0 | 0 | 0.014255 | 0.346073 | 4,291 | 106 | 121 | 40.481132 | 0.813614 | 0.271265 | 0 | 0.057143 | 0 | 0 | 0.000969 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.042857 | 0.014286 | 0.157143 | 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 |
e428f454d7dceb480c84f33f264e2ac819a010fd | 1,484 | py | Python | ML/eval.py | Data-Science-Community-SRM/Fashion-Generation | fa062e2b31b4fba8945820d911dfa41de45b1333 | [
"MIT"
] | 1 | 2021-04-27T09:13:09.000Z | 2021-04-27T09:13:09.000Z | ML/eval.py | Aradhya-Tripathi/Fashion-Generation | fa062e2b31b4fba8945820d911dfa41de45b1333 | [
"MIT"
] | null | null | null | ML/eval.py | Aradhya-Tripathi/Fashion-Generation | fa062e2b31b4fba8945820d911dfa41de45b1333 | [
"MIT"
] | 1 | 2021-03-12T13:15:08.000Z | 2021-03-12T13:15:08.000Z | import torch
from torch.utils.data import DataLoader
import matplotlib.pyplot as plt
import sys
sys.path.append("./ML")
import Definitions.models as models
from Definitions.dataset import Data
def main(imgpath="Data", noise_dim=100, vec_shape=100, root="./ModelWeights/"):
netG = models.Generator... | 26.981818 | 94 | 0.617925 | 213 | 1,484 | 4.178404 | 0.431925 | 0.035955 | 0.04382 | 0.060674 | 0.141573 | 0.141573 | 0.053933 | 0.053933 | 0.053933 | 0.053933 | 0 | 0.033943 | 0.225741 | 1,484 | 54 | 95 | 27.481481 | 0.740644 | 0.045822 | 0 | 0 | 0 | 0 | 0.038348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.193548 | 0 | 0.225806 | 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 |
e42935051444daddcd5cee33f9a2daa9cde6e823 | 4,965 | py | Python | app/screens/authorize.py | jimkutter/rpi_lcars | f5ae0891f26d3494ad77f894c4f7733deaf063ee | [
"MIT"
] | null | null | null | app/screens/authorize.py | jimkutter/rpi_lcars | f5ae0891f26d3494ad77f894c4f7733deaf063ee | [
"MIT"
] | null | null | null | app/screens/authorize.py | jimkutter/rpi_lcars | f5ae0891f26d3494ad77f894c4f7733deaf063ee | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
import pygame
from pygame.mixer import Sound
from screens.base_screen import BaseScreen
from ui import colours
from ui.widgets.background import LcarsBackgroundImage
from ui.widgets.gifimage import LcarsGifImage
from ui.widgets.lcars_widgets import LcarsButton
from ui.widgets.... | 31.03125 | 118 | 0.557301 | 568 | 4,965 | 4.723592 | 0.323944 | 0.033545 | 0.041744 | 0.020872 | 0.166232 | 0.135296 | 0.07678 | 0 | 0 | 0 | 0 | 0.023974 | 0.327895 | 4,965 | 159 | 119 | 31.226415 | 0.780042 | 0.022357 | 0 | 0.066116 | 0 | 0 | 0.096841 | 0.052577 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07438 | false | 0 | 0.082645 | 0 | 0.181818 | 0.008264 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4324e2ffd9d0f0cc445c08f1b32895fbc79b0d2 | 2,178 | py | Python | Problems/P0010 - Soma de primos.py | clasenback/EulerProject | 775d9774fcdfbbcc579e3c4ec0bb2d4a941764ad | [
"CC0-1.0"
] | null | null | null | Problems/P0010 - Soma de primos.py | clasenback/EulerProject | 775d9774fcdfbbcc579e3c4ec0bb2d4a941764ad | [
"CC0-1.0"
] | null | null | null | Problems/P0010 - Soma de primos.py | clasenback/EulerProject | 775d9774fcdfbbcc579e3c4ec0bb2d4a941764ad | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 7 17:11:12 2021
@author: User
SUMMATION OF PRIMES
The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.
Find the sum of all the primes below two million.
21min19s to find.
"""
from datetime import datetime as date
def nextPrime(n, primes):
is... | 26.888889 | 82 | 0.539027 | 290 | 2,178 | 4.041379 | 0.451724 | 0.029863 | 0.013652 | 0.006826 | 0.049488 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045706 | 0.337006 | 2,178 | 80 | 83 | 27.225 | 0.765928 | 0.192837 | 0 | 0.16 | 0 | 0 | 0.179024 | 0.031947 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.02 | 0 | 0.06 | 0.18 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4348a8c3eadb9042a4b4b0ebb7cd499d99a7b46 | 1,124 | py | Python | l5kit/l5kit/tests/rasterization/render_context_test.py | cdicle-motional/l5kit | 4dc4ee5391479bb71f0b373f39c316f9eef5a961 | [
"Apache-2.0"
] | 1 | 2021-12-04T17:48:53.000Z | 2021-12-04T17:48:53.000Z | l5kit/l5kit/tests/rasterization/render_context_test.py | cdicle-motional/l5kit | 4dc4ee5391479bb71f0b373f39c316f9eef5a961 | [
"Apache-2.0"
] | null | null | null | l5kit/l5kit/tests/rasterization/render_context_test.py | cdicle-motional/l5kit | 4dc4ee5391479bb71f0b373f39c316f9eef5a961 | [
"Apache-2.0"
] | 1 | 2021-11-19T08:13:46.000Z | 2021-11-19T08:13:46.000Z | import numpy as np
import pytest
from l5kit.geometry import transform_points
from l5kit.rasterization.render_context import RenderContext
@pytest.mark.parametrize("set_origin_to_bottom", [False, True])
def test_transform_points_to_raster(set_origin_to_bottom: bool) -> None:
image_shape_px = np.asarray((200, 200)... | 35.125 | 77 | 0.715302 | 168 | 1,124 | 4.422619 | 0.375 | 0.060565 | 0.074024 | 0.114401 | 0.080754 | 0.080754 | 0 | 0 | 0 | 0 | 0 | 0.065032 | 0.16548 | 1,124 | 31 | 78 | 36.258065 | 0.727079 | 0 | 0 | 0 | 0 | 0 | 0.017794 | 0 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.041667 | false | 0 | 0.166667 | 0 | 0.208333 | 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 |
e434cb20e1bb4b89d1f4687abbe31af32ff3e3b8 | 1,528 | py | Python | plugin/fcitx.py | bigshans/fcitx.vim | 228a51c6c95997439feddff6c38d62ce014e6d59 | [
"MIT"
] | null | null | null | plugin/fcitx.py | bigshans/fcitx.vim | 228a51c6c95997439feddff6c38d62ce014e6d59 | [
"MIT"
] | null | null | null | plugin/fcitx.py | bigshans/fcitx.vim | 228a51c6c95997439feddff6c38d62ce014e6d59 | [
"MIT"
] | null | null | null | import vim
import functools
import dbus
class FcitxComm():
def __init__(self):
bus = dbus.SessionBus()
obj = bus.get_object('org.fcitx.Fcitx5', '/controller')
self.fcitx = dbus.Interface(obj, dbus_interface='org.fcitx.Fcitx.Controller1')
def status(self):
return self.fcitx.State() == 2
def act... | 25.466667 | 106 | 0.656414 | 205 | 1,528 | 4.765854 | 0.35122 | 0.061412 | 0.036847 | 0.058342 | 0.249744 | 0.200614 | 0.14739 | 0.067554 | 0.067554 | 0 | 0 | 0.011429 | 0.198298 | 1,528 | 59 | 107 | 25.898305 | 0.786122 | 0 | 0 | 0.24 | 0 | 0 | 0.254581 | 0.085733 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.06 | 0.02 | 0.34 | 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 |
e435bc6759728f66c9ba58ab0f9f30b4d9e6d31b | 828 | py | Python | avioclient/controller.py | HermenegildoK/AvioClient | 9cad3a89bbf10d7212561cf15b3ad453060c9434 | [
"MIT"
] | null | null | null | avioclient/controller.py | HermenegildoK/AvioClient | 9cad3a89bbf10d7212561cf15b3ad453060c9434 | [
"MIT"
] | null | null | null | avioclient/controller.py | HermenegildoK/AvioClient | 9cad3a89bbf10d7212561cf15b3ad453060c9434 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from avioclient.send_data import SendControls
from avioclient import config
def send_data():
data_sender = SendControls(config.SERVER_URL)
connections_done = 0
while True:
connections_done += 1
print(
data_sender.get_data(
config.GET_ENDP... | 23.657143 | 50 | 0.48913 | 71 | 828 | 5.338028 | 0.507042 | 0.197889 | 0.079156 | 0.137203 | 0.216359 | 0.216359 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0.434783 | 828 | 34 | 51 | 24.352941 | 0.790598 | 0.025362 | 0 | 0.137931 | 0 | 0 | 0.032298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.068966 | 0 | 0.103448 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e43c4d5552c855523479c4f6f4237cbc56d53955 | 906 | py | Python | tests/test_fitsutils.py | lsst-dm/despyfitsutils | 7fb96869077712eb20a1cb0f5c132e1cc85424ec | [
"NCSA"
] | null | null | null | tests/test_fitsutils.py | lsst-dm/despyfitsutils | 7fb96869077712eb20a1cb0f5c132e1cc85424ec | [
"NCSA"
] | null | null | null | tests/test_fitsutils.py | lsst-dm/despyfitsutils | 7fb96869077712eb20a1cb0f5c132e1cc85424ec | [
"NCSA"
] | null | null | null | import os
import unittest
import despyfitsutils.fitsutils as utils
TESTDIR = os.path.dirname(__file__)
class MefTest(unittest.TestCase):
"""Tests for a MEF object.
"""
def setUp(self):
inputs = [os.path.join(TESTDIR, 'data/input.fits.fz')]
output = os.path.join(TESTDIR, 'data/output.fit... | 25.885714 | 72 | 0.611479 | 111 | 906 | 4.918919 | 0.54955 | 0.076923 | 0.03663 | 0.062271 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00152 | 0.273731 | 906 | 34 | 73 | 26.647059 | 0.828267 | 0.153422 | 0 | 0 | 0 | 0 | 0.048684 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.190476 | false | 0.047619 | 0.142857 | 0 | 0.380952 | 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 |
e43dacaa5bafcd52f175484e3b1f257816fb14b1 | 4,047 | py | Python | applications/MensajeriaMasiva/models/db.py | chitohugo/MassiveSMS | 05b528de146498531c967aff1ee4fe72720febb3 | [
"BSD-3-Clause"
] | null | null | null | applications/MensajeriaMasiva/models/db.py | chitohugo/MassiveSMS | 05b528de146498531c967aff1ee4fe72720febb3 | [
"BSD-3-Clause"
] | null | null | null | applications/MensajeriaMasiva/models/db.py | chitohugo/MassiveSMS | 05b528de146498531c967aff1ee4fe72720febb3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from time import gmtime, strftime
from gluon.custom_import import track_changes
track_changes(True)
from gluon import current
from pydal import *
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
if request.global_settings.web2py_version < "2.14.1":
raise HTTP... | 45.988636 | 165 | 0.560909 | 420 | 4,047 | 5.280952 | 0.354762 | 0.059513 | 0.059964 | 0.072588 | 0.306132 | 0.288097 | 0.260144 | 0.260144 | 0.260144 | 0.223625 | 0 | 0.010264 | 0.205584 | 4,047 | 87 | 166 | 46.517241 | 0.679627 | 0.190511 | 0 | 0.155172 | 0 | 0 | 0.180564 | 0.013489 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.017241 | 0.12069 | 0 | 0.12069 | 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 |
e443a35a02a890811a35899fe38cc7d3bb4c7d5c | 2,155 | py | Python | api/resources/resources.py | arkhn/fhirball-server | b4d1a1c29dfff5ba60bfbb6b291f6bdb6e6ccd6e | [
"Apache-2.0"
] | 5 | 2018-12-21T13:20:12.000Z | 2019-11-20T23:58:06.000Z | api/resources/resources.py | arkhn/fhir-ball-server | b4d1a1c29dfff5ba60bfbb6b291f6bdb6e6ccd6e | [
"Apache-2.0"
] | null | null | null | api/resources/resources.py | arkhn/fhir-ball-server | b4d1a1c29dfff5ba60bfbb6b291f6bdb6e6ccd6e | [
"Apache-2.0"
] | null | null | null | from flask_restful import Resource
import requests
from api.common.utils import file_response
ENCODING = 'utf-8'
SCHEMA_URL = 'http://127.0.0.1:8422'
STORE_URL = 'http://127.0.0.1:8423'
class FhirDatatypes(Resource):
@staticmethod
def get():
"""Returns CSV list of available database schemas."""
... | 24.770115 | 87 | 0.624594 | 228 | 2,155 | 5.802632 | 0.236842 | 0.063492 | 0.104308 | 0.117914 | 0.773243 | 0.697657 | 0.620559 | 0.620559 | 0.620559 | 0.578987 | 0 | 0.013109 | 0.256613 | 2,155 | 86 | 88 | 25.05814 | 0.812734 | 0.152204 | 0 | 0.54717 | 0 | 0 | 0.087973 | 0.025056 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113208 | false | 0 | 0.056604 | 0 | 0.396226 | 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 |
e4466c3b9ecc29dbb105b55c4d10907897f3d25c | 742 | py | Python | ArtificialData/RhoAndBeta.py | AlfLobos/DSP | 1e1073c6b0da562b0aea3dec9d62bc563a3b46f5 | [
"CNRI-Python"
] | null | null | null | ArtificialData/RhoAndBeta.py | AlfLobos/DSP | 1e1073c6b0da562b0aea3dec9d62bc563a3b46f5 | [
"CNRI-Python"
] | null | null | null | ArtificialData/RhoAndBeta.py | AlfLobos/DSP | 1e1073c6b0da562b0aea3dec9d62bc563a3b46f5 | [
"CNRI-Python"
] | null | null | null | import numpy as np
def CalcRhoAndBetaVectors(bid_vec, UB_bid, num_edges, index_Imps, adverPerImp, firstPrice):
## I will assume I want to evaluate the full vector.
rhoBetaMat=np.zeros((num_edges,2))
for edge_num,impType in enumerate(index_Imps):
rhoBetaMat[edge_num,:]=RhoBetaValue(bid_vec[edge_num]... | 35.333333 | 91 | 0.677898 | 106 | 742 | 4.59434 | 0.433962 | 0.043121 | 0.024641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011725 | 0.195418 | 742 | 21 | 92 | 35.333333 | 0.80402 | 0.110512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.0625 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e44985df33485739c9a738d44c1ed72af3c01cd0 | 3,208 | py | Python | src/utils/greedy.py | vmgabriel/tabu-base | 615c45e4d6b6fdb1c85c8fbaa316a1e6ce829fcd | [
"Apache-2.0"
] | null | null | null | src/utils/greedy.py | vmgabriel/tabu-base | 615c45e4d6b6fdb1c85c8fbaa316a1e6ce829fcd | [
"Apache-2.0"
] | null | null | null | src/utils/greedy.py | vmgabriel/tabu-base | 615c45e4d6b6fdb1c85c8fbaa316a1e6ce829fcd | [
"Apache-2.0"
] | null | null | null | """
Greedy Module Solution for Utils control
"""
# Libraries
from typing import List
from functools import reduce
# Modules
from src.utils.math import (
list_negative,
invert_positions,
evaluate_fo
)
# Constants
COMPARE_VALUE = 99999999
def worst_solution(distance_matrix: List[List[float]]) -> List[in... | 25.870968 | 73 | 0.5798 | 378 | 3,208 | 4.714286 | 0.246032 | 0.06734 | 0.043771 | 0.049383 | 0.208193 | 0.138608 | 0.129068 | 0.102132 | 0.054994 | 0 | 0 | 0.017193 | 0.329177 | 3,208 | 123 | 74 | 26.081301 | 0.810874 | 0.163653 | 0 | 0.120482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060241 | false | 0 | 0.036145 | 0 | 0.156627 | 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 |
e45010e55211f1d8b353af0fb64ccf62757ae1c3 | 5,649 | py | Python | codes/models/modules/Inv_arch.py | lin-zhao-resoLve/Symmetric-Enhancement | 11c1a662020582d1333d11cf5f9c99556ec0f427 | [
"Apache-2.0"
] | 14 | 2021-09-30T07:05:04.000Z | 2022-03-31T08:22:39.000Z | codes/models/modules/Inv_arch.py | lin-zhao-resoLve/Symmetric-Enhancement | 11c1a662020582d1333d11cf5f9c99556ec0f427 | [
"Apache-2.0"
] | 3 | 2021-11-09T06:52:13.000Z | 2021-11-20T08:00:46.000Z | codes/models/modules/Inv_arch.py | lin-zhao-resoLve/Symmetric-Enhancement | 11c1a662020582d1333d11cf5f9c99556ec0f427 | [
"Apache-2.0"
] | null | null | null | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from models.modules.model.vgg16 import Vgg16
import os
vgg = Vgg16()
vgg.load_state_dict(torch.load(os.path.join(os.path.abspath('.'), 'models/modules/model/', 'vgg16.weight')))
params = list(vgg.named_parameters())
encodi... | 36.211538 | 108 | 0.615861 | 761 | 5,649 | 4.388962 | 0.156373 | 0.057485 | 0.057485 | 0.040419 | 0.588922 | 0.530539 | 0.512575 | 0.482036 | 0.417964 | 0.387425 | 0 | 0.034858 | 0.26872 | 5,649 | 155 | 109 | 36.445161 | 0.773663 | 0.127456 | 0 | 0.508929 | 0 | 0 | 0.006923 | 0.004276 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098214 | false | 0 | 0.0625 | 0.017857 | 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 |
e4520356b6e60cb7ea00f5353a2466e715bcd995 | 1,642 | py | Python | py_algo/dynamic_programming/introduction/equal_array.py | Sk0uF/Algorithms | 236cc5b056ce2637d5d947c5fc1e3367cde886bf | [
"MIT"
] | 1 | 2021-07-05T15:39:04.000Z | 2021-07-05T15:39:04.000Z | py_algo/dynamic_programming/introduction/equal_array.py | Sk0uF/Algorithms | 236cc5b056ce2637d5d947c5fc1e3367cde886bf | [
"MIT"
] | null | null | null | py_algo/dynamic_programming/introduction/equal_array.py | Sk0uF/Algorithms | 236cc5b056ce2637d5d947c5fc1e3367cde886bf | [
"MIT"
] | 1 | 2021-09-02T21:31:34.000Z | 2021-09-02T21:31:34.000Z | """
Codemonk link: https://www.hackerearth.com/practice/algorithms/dynamic-programming/introduction-to-dynamic-programming-1/practice-problems/algorithm/equal-array-84cf6c5f/
You are given an array A of size N. Find the minimum non negative number X such that there exists an index j that when
you can replace Aj by Aj+... | 30.407407 | 170 | 0.658343 | 273 | 1,642 | 3.915751 | 0.428571 | 0.12348 | 0.067353 | 0.02058 | 0.071094 | 0.071094 | 0.071094 | 0.071094 | 0.071094 | 0.071094 | 0 | 0.022508 | 0.242387 | 1,642 | 53 | 171 | 30.981132 | 0.836817 | 0.483557 | 0 | 0 | 0 | 0 | 0.008942 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.136364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4526af2d705bb3c47b1ba3a6b79144d1876aeeb | 1,331 | py | Python | model.py | mollikka/Penrose | 6d9870f54e9810f7e2f4ea82bb619424785a65db | [
"MIT"
] | 1 | 2019-07-17T02:46:45.000Z | 2019-07-17T02:46:45.000Z | model.py | mollikka/Penrose | 6d9870f54e9810f7e2f4ea82bb619424785a65db | [
"MIT"
] | null | null | null | model.py | mollikka/Penrose | 6d9870f54e9810f7e2f4ea82bb619424785a65db | [
"MIT"
] | null | null | null | from itertools import chain
phi = 1.61803398875
class PenroseModel:
def __init__(self, start_state):
self.tiles = start_state
self.history = []
def split(self):
self.history.append(list(self.tiles))
self.tiles = list(chain(*[tile.split() for tile in self.tiles]))
def desp... | 22.183333 | 72 | 0.480841 | 205 | 1,331 | 3.04878 | 0.219512 | 0.08 | 0.0384 | 0.0448 | 0.2272 | 0.2272 | 0.2272 | 0.2272 | 0.2272 | 0.2272 | 0 | 0.023364 | 0.356875 | 1,331 | 59 | 73 | 22.559322 | 0.706776 | 0 | 0 | 0.413043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.173913 | false | 0 | 0.021739 | 0.021739 | 0.326087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e45397111350f9273e2cc86843e6973c134d6e85 | 1,465 | py | Python | src/tests/unittests/configuration_helper/adapters/test_keysight_e8267d_instrument_adapter.py | QuTech-Delft/qilib | a87892f8a9977ed338c36e8fb1e262b47449cf44 | [
"MIT"
] | 1 | 2019-02-20T16:56:30.000Z | 2019-02-20T16:56:30.000Z | src/tests/unittests/configuration_helper/adapters/test_keysight_e8267d_instrument_adapter.py | QuTech-Delft/qilib | a87892f8a9977ed338c36e8fb1e262b47449cf44 | [
"MIT"
] | 22 | 2019-02-16T06:10:55.000Z | 2022-02-15T18:52:34.000Z | src/tests/unittests/configuration_helper/adapters/test_keysight_e8267d_instrument_adapter.py | QuTech-Delft/qilib | a87892f8a9977ed338c36e8fb1e262b47449cf44 | [
"MIT"
] | 2 | 2020-02-04T08:46:21.000Z | 2020-10-18T16:31:58.000Z | import unittest
from unittest.mock import call, patch, Mock, MagicMock
from qilib.configuration_helper import InstrumentAdapterFactory
class TestKeysightE8267DInstrumentAdapter(unittest.TestCase):
def test_read_filter_out_val_mapping(self):
with patch('qilib.configuration_helper.adapters.keysight_e8267d... | 47.258065 | 112 | 0.661433 | 143 | 1,465 | 6.461538 | 0.384615 | 0.11039 | 0.099567 | 0.064935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026432 | 0.225256 | 1,465 | 30 | 113 | 48.833333 | 0.787665 | 0 | 0 | 0 | 0 | 0 | 0.264344 | 0.079918 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.04 | false | 0 | 0.12 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e455b64eee36fc129ded8331905ce5976719baa2 | 1,364 | py | Python | scripts/mint.py | tomazmm/artsyapes-contract | 95b10e1c73aa4e0712ff8d5162271e84aec91810 | [
"Apache-2.0"
] | null | null | null | scripts/mint.py | tomazmm/artsyapes-contract | 95b10e1c73aa4e0712ff8d5162271e84aec91810 | [
"Apache-2.0"
] | null | null | null | scripts/mint.py | tomazmm/artsyapes-contract | 95b10e1c73aa4e0712ff8d5162271e84aec91810 | [
"Apache-2.0"
] | null | null | null | import json
import pprint
import random
from terra_sdk.core import AccAddress, Coins
from terra_sdk.core.auth import StdFee
from terra_sdk.core.broadcast import BlockTxBroadcastResult
from scripts.deploy import owner, lt
from terra_sdk.core.wasm import MsgExecuteContract
def mint(contract_address: str):
mint_ms... | 28.416667 | 98 | 0.662023 | 173 | 1,364 | 4.99422 | 0.445087 | 0.074074 | 0.055556 | 0.074074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021657 | 0.221408 | 1,364 | 47 | 99 | 29.021277 | 0.791902 | 0.022727 | 0 | 0 | 0 | 0 | 0.18858 | 0.027799 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.222222 | 0 | 0.305556 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4589a7ec39dfb446ef1fe4c8fd01bbb42b8704d | 1,507 | py | Python | enbios/processing/indicators/__init__.py | ENVIRO-Module/enbios | 10e93df9a168627833eca6d04e4e2b864de8e8d9 | [
"BSD-3-Clause"
] | 2 | 2022-01-28T09:38:28.000Z | 2022-01-28T09:38:32.000Z | enbios/processing/indicators/__init__.py | ENVIRO-Module/enbios | 10e93df9a168627833eca6d04e4e2b864de8e8d9 | [
"BSD-3-Clause"
] | 1 | 2022-01-27T21:42:42.000Z | 2022-01-27T21:42:42.000Z | enbios/processing/indicators/__init__.py | ENVIRO-Module/enbios | 10e93df9a168627833eca6d04e4e2b864de8e8d9 | [
"BSD-3-Clause"
] | null | null | null | import math
from nexinfosys.model_services import State
materials = {
"Aluminium",
"Antimony",
"Arsenic",
"Baryte",
"Beryllium",
"Borates",
"Cadmium",
"Cerium",
"Chromium",
"Cobalt",
"Copper",
"Diatomite",
"Dysprosium",
"Europium",
"Fluorspar",
"Gadolini... | 17.125 | 43 | 0.50564 | 153 | 1,507 | 4.915033 | 0.588235 | 0.053191 | 0.035904 | 0.018617 | 0.106383 | 0.106383 | 0.106383 | 0.106383 | 0.106383 | 0.106383 | 0 | 0.007042 | 0.340411 | 1,507 | 87 | 44 | 17.321839 | 0.749497 | 0 | 0 | 0.074074 | 0 | 0 | 0.295289 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024691 | false | 0 | 0.024691 | 0 | 0.08642 | 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 |
e45a7bbe70e7b8614eb0c9109018644cf05fb490 | 24,654 | py | Python | src/1-topicmodeling.py | sofieditmer/topic_modeling | edfff3c4d45c932562f796cc81e9ce9fe35f8e4b | [
"MIT"
] | null | null | null | src/1-topicmodeling.py | sofieditmer/topic_modeling | edfff3c4d45c932562f796cc81e9ce9fe35f8e4b | [
"MIT"
] | null | null | null | src/1-topicmodeling.py | sofieditmer/topic_modeling | edfff3c4d45c932562f796cc81e9ce9fe35f8e4b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Info: This script performs topic modeling on the clean tweets by Donald Trump. The number of topics is estimated by computing coherence values for different number of topics, and an LDA model is constructed with the number of topics with the highest coherence value. Visualizations of the topic... | 46.693182 | 402 | 0.626511 | 3,010 | 24,654 | 4.998339 | 0.19701 | 0.014357 | 0.020472 | 0.012762 | 0.235161 | 0.179129 | 0.140844 | 0.119375 | 0.099036 | 0.075773 | 0 | 0.008627 | 0.299465 | 24,654 | 528 | 403 | 46.693182 | 0.862486 | 0.360672 | 0 | 0.098291 | 0 | 0.025641 | 0.17481 | 0.004616 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.025641 | 0.068376 | 0 | 0.15812 | 0.068376 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e45a8dc57b1450e18797d47ff570959f3d7e2d31 | 15,086 | py | Python | EEG_Lightning/dassl/data/datasets/ProcessDataBase_v1.py | mcd4874/NeurIPS_competition | 4df1f222929e9824a55c9c4ae6634743391b0fe9 | [
"MIT"
] | 23 | 2021-10-14T02:31:06.000Z | 2022-01-25T16:26:44.000Z | EEG_Lightning/dassl/data/datasets/ProcessDataBase_v1.py | mcd4874/NeurIPS_competition | 4df1f222929e9824a55c9c4ae6634743391b0fe9 | [
"MIT"
] | null | null | null | EEG_Lightning/dassl/data/datasets/ProcessDataBase_v1.py | mcd4874/NeurIPS_competition | 4df1f222929e9824a55c9c4ae6634743391b0fe9 | [
"MIT"
] | 1 | 2022-03-05T06:54:11.000Z | 2022-03-05T06:54:11.000Z | """
William DUong
"""
import os.path as osp
import os
import errno
from .build import DATASET_REGISTRY
from .base_dataset import Datum, DatasetBase,EEGDatum
from scipy.io import loadmat
import numpy as np
from collections import defaultdict
class ProcessDataBase(DatasetBase):
dataset_dir = None
file_name =... | 45.032836 | 166 | 0.65173 | 1,963 | 15,086 | 4.67244 | 0.098828 | 0.028783 | 0.022242 | 0.027802 | 0.411252 | 0.322067 | 0.276276 | 0.26232 | 0.248583 | 0.234518 | 0 | 0.004439 | 0.253414 | 15,086 | 334 | 167 | 45.167665 | 0.809909 | 0.353507 | 0 | 0.108974 | 0 | 0 | 0.038194 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089744 | false | 0 | 0.051282 | 0.012821 | 0.24359 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e45ad99677d6577af2671852ef4f62636067fd15 | 9,321 | py | Python | pywolf3d/level_editor/app.py | jammers-ach/pywolf3d | 3e305d7bdb9aa4f38ae5cf460ed22c54efe8980c | [
"MIT"
] | null | null | null | pywolf3d/level_editor/app.py | jammers-ach/pywolf3d | 3e305d7bdb9aa4f38ae5cf460ed22c54efe8980c | [
"MIT"
] | null | null | null | pywolf3d/level_editor/app.py | jammers-ach/pywolf3d | 3e305d7bdb9aa4f38ae5cf460ed22c54efe8980c | [
"MIT"
] | null | null | null | import argparse
import json
from ursina import load_texture, Ursina, Entity, color, camera, Quad, mouse, time, window, invoke, WindowPanel, \
Text, InputField, Space, scene, Button, Draggable, Tooltip, Scrollable
from pywolf3d.games.wolf3d import WALL_DEFS, WallDef, OBJECT_DEFS
Z_GRID = 0
Z_OBJECT = 2
Z_WALL = 3... | 29.590476 | 122 | 0.55037 | 1,190 | 9,321 | 4.137815 | 0.158824 | 0.026401 | 0.020309 | 0.028432 | 0.342201 | 0.248375 | 0.195167 | 0.164703 | 0.164703 | 0.15658 | 0 | 0.010718 | 0.329364 | 9,321 | 314 | 123 | 29.684713 | 0.776996 | 0.00397 | 0 | 0.177686 | 0 | 0 | 0.055615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095041 | false | 0 | 0.016529 | 0 | 0.14876 | 0.020661 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e45ba78572ce87d65bc9fa965f1a8af3685baf94 | 3,404 | py | Python | code/data_mgmt.py | TomDonoghue/EEGparam | a3e747094617479122900688643fa396ecbf8bab | [
"MIT"
] | 8 | 2021-08-17T05:22:40.000Z | 2022-03-23T02:03:48.000Z | code/data_mgmt.py | TomDonoghue/EEGparam | a3e747094617479122900688643fa396ecbf8bab | [
"MIT"
] | 1 | 2020-12-09T13:22:03.000Z | 2021-01-27T01:56:09.000Z | code/data_mgmt.py | TomDonoghue/EEGparam | a3e747094617479122900688643fa396ecbf8bab | [
"MIT"
] | 4 | 2021-06-20T14:44:38.000Z | 2021-12-11T11:21:26.000Z | """Functions for loading and data management for EEG-FOOOF."""
from os.path import join as pjoin
import numpy as np
from fooof import FOOOFGroup
from fooof.analysis import get_band_peak_fg
from settings import BANDS, YNG_INDS, OLD_INDS, N_LOADS, N_SUBJS, N_TIMES
####################################################... | 35.831579 | 99 | 0.623384 | 472 | 3,404 | 4.28178 | 0.216102 | 0.047501 | 0.047501 | 0.035626 | 0.549233 | 0.502227 | 0.445324 | 0.369619 | 0.369619 | 0.3429 | 0 | 0.006917 | 0.193008 | 3,404 | 94 | 100 | 36.212766 | 0.728795 | 0.205934 | 0 | 0.219512 | 0 | 0 | 0.071166 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.121951 | 0 | 0.365854 | 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 |
e45c0f05cdc7fe7a2e45a2f57230877bc9ba6968 | 413 | py | Python | match_shapes.py | KyojiOsada/Python-Library | b06e50454c56c84c2abb96e6f68d35117ea5f4b5 | [
"Apache-2.0"
] | null | null | null | match_shapes.py | KyojiOsada/Python-Library | b06e50454c56c84c2abb96e6f68d35117ea5f4b5 | [
"Apache-2.0"
] | null | null | null | match_shapes.py | KyojiOsada/Python-Library | b06e50454c56c84c2abb96e6f68d35117ea5f4b5 | [
"Apache-2.0"
] | null | null | null | import sys
import cv2
import numpy as np
img1 = cv2.imread('source1.jpg',0)
img2 = cv2.imread('source2.jpg',0)
ret, thresh = cv2.threshold(img1, 127, 255,0)
ret, thresh2 = cv2.threshold(img2, 127, 255,0)
contours,hierarchy,a = cv2.findContours(thresh,2,1)
cnt1 = contours[0]
contours,hierarchy,a = cv2.findContours(th... | 20.65 | 52 | 0.72155 | 70 | 413 | 4.257143 | 0.428571 | 0.040268 | 0.04698 | 0.127517 | 0.228188 | 0.228188 | 0 | 0 | 0 | 0 | 0 | 0.123288 | 0.116223 | 413 | 19 | 53 | 21.736842 | 0.693151 | 0 | 0 | 0 | 0 | 0 | 0.053269 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e45c3482ede83aa24d104869dacc8d42f601273f | 25,556 | py | Python | SlicerModules/SegmentConnectedParzenPDF/SegmentConnectedParzenPDF.py | jcfr/TubeTK | 3791790e206b5627a35c46f86eeb9671c8d4190f | [
"Apache-2.0"
] | 1 | 2019-07-19T09:27:37.000Z | 2019-07-19T09:27:37.000Z | SlicerModules/SegmentConnectedParzenPDF/SegmentConnectedParzenPDF.py | jcfr/TubeTK | 3791790e206b5627a35c46f86eeb9671c8d4190f | [
"Apache-2.0"
] | null | null | null | SlicerModules/SegmentConnectedParzenPDF/SegmentConnectedParzenPDF.py | jcfr/TubeTK | 3791790e206b5627a35c46f86eeb9671c8d4190f | [
"Apache-2.0"
] | 1 | 2019-07-19T09:28:56.000Z | 2019-07-19T09:28:56.000Z | import os
from __main__ import vtk, qt, ctk, slicer
import EditorLib
from EditorLib.EditOptions import HelpButton
from EditorLib.EditOptions import EditOptions
from EditorLib import EditUtil
from EditorLib import LabelEffect
class InteractiveConnectedComponentsUsingParzenPDFsOptions(EditorLib.LabelEffectOptions):
"... | 44.138169 | 292 | 0.755204 | 2,326 | 25,556 | 8.27687 | 0.236028 | 0.017453 | 0.01418 | 0.015583 | 0.073343 | 0.057345 | 0.03797 | 0.033036 | 0.012466 | 0.003013 | 0 | 0.005943 | 0.157223 | 25,556 | 578 | 293 | 44.214533 | 0.887919 | 0.136211 | 0 | 0.083117 | 0 | 0.002597 | 0.169865 | 0.04121 | 0 | 0 | 0.000548 | 0.00173 | 0 | 1 | 0.075325 | false | 0.012987 | 0.018182 | 0.007792 | 0.132468 | 0.002597 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4634c0a0adb3cc0d16bbbb61f40f718de94ef2b | 3,141 | py | Python | wind_direction.py | simseve/weatherstation | 68196a032a2cd39062f3924ce6d386f5f54af393 | [
"MIT"
] | null | null | null | wind_direction.py | simseve/weatherstation | 68196a032a2cd39062f3924ce6d386f5f54af393 | [
"MIT"
] | null | null | null | wind_direction.py | simseve/weatherstation | 68196a032a2cd39062f3924ce6d386f5f54af393 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# wind_direction.py
#
# Copyright 2020 <Simone Severini>
#
# 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 Licen... | 27.313043 | 71 | 0.561605 | 403 | 3,141 | 4.349876 | 0.478908 | 0.112949 | 0.022248 | 0.032516 | 0.046777 | 0.031945 | 0 | 0 | 0 | 0 | 0 | 0.114217 | 0.339382 | 3,141 | 114 | 72 | 27.552632 | 0.730602 | 0.286533 | 0 | 0 | 0 | 0 | 0.022142 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.078125 | 0 | 0.140625 | 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 |
e4639c8948f8a93b0256a4c34b5d407b8adc42bc | 3,875 | py | Python | oswin_tempest_plugin/tests/_mixins/migrate.py | openstack/oswin-tempest-plugin | 59e6a14d01dda304c7d11fda1d35198f25799d6c | [
"Apache-2.0"
] | 6 | 2017-10-31T10:40:24.000Z | 2019-01-28T22:08:15.000Z | oswin_tempest_plugin/tests/_mixins/migrate.py | openstack/oswin-tempest-plugin | 59e6a14d01dda304c7d11fda1d35198f25799d6c | [
"Apache-2.0"
] | null | null | null | oswin_tempest_plugin/tests/_mixins/migrate.py | openstack/oswin-tempest-plugin | 59e6a14d01dda304c7d11fda1d35198f25799d6c | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Cloudbase Solutions SRL
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 35.87963 | 79 | 0.659613 | 462 | 3,875 | 5.298701 | 0.37013 | 0.044935 | 0.02451 | 0.026961 | 0.288399 | 0.245098 | 0.245098 | 0.183824 | 0.09232 | 0.049837 | 0 | 0.00455 | 0.26271 | 3,875 | 107 | 80 | 36.214953 | 0.852293 | 0.303484 | 0 | 0.150943 | 0 | 0 | 0.085431 | 0 | 0 | 0 | 0 | 0.009346 | 0.037736 | 1 | 0.075472 | false | 0 | 0.056604 | 0 | 0.188679 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e468b2b5e8f04b80c414c4137b991f429ffae653 | 2,508 | py | Python | kedro/extras/logging/color_logger.py | daniel-falk/kedro | 19187199339ddc4a757aaaa328f319ec4c1e452a | [
"Apache-2.0"
] | 2,047 | 2022-01-10T15:22:12.000Z | 2022-03-31T13:38:56.000Z | kedro/extras/logging/color_logger.py | daniel-falk/kedro | 19187199339ddc4a757aaaa328f319ec4c1e452a | [
"Apache-2.0"
] | 170 | 2022-01-10T12:44:31.000Z | 2022-03-31T17:01:24.000Z | kedro/extras/logging/color_logger.py | daniel-falk/kedro | 19187199339ddc4a757aaaa328f319ec4c1e452a | [
"Apache-2.0"
] | 112 | 2022-01-10T19:15:24.000Z | 2022-03-30T11:20:52.000Z | """A logging handler class which produces coloured logs."""
import logging
import click
class ColorHandler(logging.StreamHandler):
"""A color log handler.
You can use this handler by incorporating the example below into your
logging configuration:
``conf/project/logging.yml``:
::
for... | 26.125 | 74 | 0.548644 | 261 | 2,508 | 5.226054 | 0.360153 | 0.043988 | 0.057185 | 0.032991 | 0.094575 | 0.059384 | 0 | 0 | 0 | 0 | 0 | 0 | 0.342903 | 2,508 | 95 | 75 | 26.4 | 0.82767 | 0.447767 | 0 | 0 | 0 | 0 | 0.093777 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.068966 | 0 | 0.448276 | 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 |
e46b6c69ae3a4c3f1fee528d4d729291bff4cf8d | 1,468 | py | Python | qt_figure.py | liwenlongonly/LogAnalyzer | 4981c0673cf0d1a52ad76e473ffc1c30bb6bf22b | [
"Apache-2.0"
] | null | null | null | qt_figure.py | liwenlongonly/LogAnalyzer | 4981c0673cf0d1a52ad76e473ffc1c30bb6bf22b | [
"Apache-2.0"
] | null | null | null | qt_figure.py | liwenlongonly/LogAnalyzer | 4981c0673cf0d1a52ad76e473ffc1c30bb6bf22b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from PyQt5 import QtCore
import numpy as np
from matplotlib.figure import Figure
import time
import matplotlib
matplotlib.use("Qt5Agg") # 声明使用QT5
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
class QtFigure(FigureCanvas):
def __init__(self, width=5, he... | 32.622222 | 83 | 0.636921 | 201 | 1,468 | 4.537313 | 0.462687 | 0.052632 | 0.078947 | 0.035088 | 0.149123 | 0.111842 | 0 | 0 | 0 | 0 | 0 | 0.038529 | 0.222071 | 1,468 | 44 | 84 | 33.363636 | 0.76007 | 0.11921 | 0 | 0.064516 | 0 | 0 | 0.015576 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0 | 0.193548 | 0.032258 | 0.387097 | 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 |
e4705f3acb58336e0e7ad1a046d3910433815d04 | 1,488 | py | Python | worldmap/src/worldmap/model/dtm.py | expertanalytics/fagkveld | 96e16b9610e8b60d36425e7bc5435d266de1f8bf | [
"BSD-2-Clause"
] | null | null | null | worldmap/src/worldmap/model/dtm.py | expertanalytics/fagkveld | 96e16b9610e8b60d36425e7bc5435d266de1f8bf | [
"BSD-2-Clause"
] | null | null | null | worldmap/src/worldmap/model/dtm.py | expertanalytics/fagkveld | 96e16b9610e8b60d36425e7bc5435d266de1f8bf | [
"BSD-2-Clause"
] | null | null | null | """
Data terrain model (DTM).
Examples::
>>> from worldmap import DTM
>>> dtm = DTM()
>>> print(dtm["NOR"])
Location('Norway')
"""
from typing import Dict, List, Tuple, Set, Optional
from bokeh.models import Model
from bokeh.models import ColumnDataSource, Patches, LabelSet
import logging
import num... | 25.220339 | 74 | 0.638441 | 169 | 1,488 | 5.455621 | 0.39645 | 0.070499 | 0.073753 | 0.045553 | 0.101952 | 0.101952 | 0.101952 | 0.101952 | 0.101952 | 0 | 0 | 0 | 0.266801 | 1,488 | 58 | 75 | 25.655172 | 0.845096 | 0.174059 | 0 | 0.066667 | 0 | 0 | 0.042869 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.266667 | 0.033333 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e472ad25bd9133e0e1fe623219e0826f24f2f7ef | 365 | py | Python | Mandelbrot fractal/visualize.py | TTimerkhanov/parallel_computing | 75c79a4e50ac2f5f9fab90cd79560cd8e848228e | [
"MIT"
] | 8 | 2018-03-21T12:26:44.000Z | 2019-10-05T08:46:20.000Z | Mandelbrot fractal/visualize.py | TTimerkhanov/parallel_computing | 75c79a4e50ac2f5f9fab90cd79560cd8e848228e | [
"MIT"
] | null | null | null | Mandelbrot fractal/visualize.py | TTimerkhanov/parallel_computing | 75c79a4e50ac2f5f9fab90cd79560cd8e848228e | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def mandelbrot(threshold, density):
atlas = np.empty((density, density))
with open('set', 'r') as f:
for line in f.readlines():
i, j, val = line.split(",")
atlas[int(i), int(j)] = val
plt.imshow(atlas.T, interpolation="ne... | 22.8125 | 48 | 0.60274 | 51 | 365 | 4.313725 | 0.666667 | 0.036364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025455 | 0.246575 | 365 | 16 | 49 | 22.8125 | 0.774545 | 0 | 0 | 0 | 0 | 0 | 0.032787 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e47311462a03c6a7eb9b40addcc16befdf99f631 | 2,133 | py | Python | code/venv/lib/python3.8/site-packages/datadog_api_client/v2/model/permission_attributes.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | code/venv/lib/python3.8/site-packages/datadog_api_client/v2/model/permission_attributes.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | code/venv/lib/python3.8/site-packages/datadog_api_client/v2/model/permission_attributes.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from datadog_api_client.v2.model_utils import (
ModelNormal,
cached_property,
... | 30.042254 | 108 | 0.61369 | 225 | 2,133 | 5.635556 | 0.453333 | 0.033123 | 0.047319 | 0.031546 | 0.102524 | 0.102524 | 0.061514 | 0.061514 | 0 | 0 | 0 | 0.004516 | 0.273324 | 2,133 | 70 | 109 | 30.471429 | 0.813548 | 0.426629 | 0 | 0.055556 | 0 | 0 | 0.176944 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.027778 | 0.027778 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4813380bf2daa72d111c3321e1a0890661d1b92 | 5,475 | py | Python | CodedCaching/Network.py | qizhu8/CodedCachingSim | 84e8f1e58e1c431ee4916525487d4b28f92e629b | [
"MIT"
] | null | null | null | CodedCaching/Network.py | qizhu8/CodedCachingSim | 84e8f1e58e1c431ee4916525487d4b28f92e629b | [
"MIT"
] | null | null | null | CodedCaching/Network.py | qizhu8/CodedCachingSim | 84e8f1e58e1c431ee4916525487d4b28f92e629b | [
"MIT"
] | null | null | null | """
Network class is in charge of:
1. Storing M - User Cache Size, N - Number of Files, K - Number of Users
2. Storing User instances, Server instance, and attacker instance
"""
import numpy as np
from scipy import special
import itertools
from Server import Server
from User import User
from tabulate import tabulate
... | 36.993243 | 140 | 0.592146 | 687 | 5,475 | 4.672489 | 0.213974 | 0.023364 | 0.027414 | 0.004984 | 0.14486 | 0.134579 | 0.120249 | 0.047352 | 0.034891 | 0.034891 | 0 | 0.01125 | 0.285662 | 5,475 | 147 | 141 | 37.244898 | 0.809512 | 0.156164 | 0 | 0.090909 | 0 | 0 | 0.03437 | 0.010442 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070707 | false | 0 | 0.060606 | 0 | 0.181818 | 0.171717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e48ba9fc67c09776260edc71cd67600e98eb63a9 | 1,885 | py | Python | 2017/day07/code.py | Fadi88/AoC | 8b24f2f2cc7b4e1c63758e81e63d8670a261cc7c | [
"Unlicense"
] | 12 | 2019-12-15T21:53:19.000Z | 2021-12-24T17:03:41.000Z | 2017/day07/code.py | Fadi88/adventofcode19 | dd2456bdd163beb02dbfe9dcea2b021061c7671e | [
"Unlicense"
] | 1 | 2021-12-15T20:40:51.000Z | 2021-12-15T22:19:48.000Z | 2017/day07/code.py | Fadi88/adventofcode19 | dd2456bdd163beb02dbfe9dcea2b021061c7671e | [
"Unlicense"
] | 5 | 2020-12-11T06:00:24.000Z | 2021-12-20T21:37:46.000Z | import time
from collections import defaultdict
def profiler(method):
def wrapper_method(*arg, **kw):
t = time.time()
method(*arg, **kw)
print('Method ' + method.__name__ + ' took : ' +
"{:2.5f}".format(time.time()-t) + ' sec')
return wrapper_method
@profiler
def part1(... | 22.176471 | 83 | 0.490716 | 241 | 1,885 | 3.767635 | 0.26556 | 0.052863 | 0.035242 | 0.061674 | 0.295154 | 0.295154 | 0.295154 | 0.295154 | 0.295154 | 0.295154 | 0 | 0.01642 | 0.353846 | 1,885 | 84 | 84 | 22.440476 | 0.729064 | 0 | 0 | 0.5 | 0 | 0 | 0.033952 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0 | 0.030303 | 0 | 0.151515 | 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 |
e48e53ba04ff99bdd6227e182235f811ae1dc4ee | 403 | py | Python | src/microbit/spi-tof-master.py | romilly/multi-VL53L0X | 80cf0d82d93ceae9c54acb967c24a1bf8deb5e3a | [
"MIT"
] | null | null | null | src/microbit/spi-tof-master.py | romilly/multi-VL53L0X | 80cf0d82d93ceae9c54acb967c24a1bf8deb5e3a | [
"MIT"
] | null | null | null | src/microbit/spi-tof-master.py | romilly/multi-VL53L0X | 80cf0d82d93ceae9c54acb967c24a1bf8deb5e3a | [
"MIT"
] | null | null | null | from microbit import *
import struct
from time import sleep
SENSORS = 2
def spi_read(sensor):
pin16.write_digital(0) # Chip select
ibuffer = struct.pack('<B', sensor)
spi.write(ibuffer)
result = spi.read(1)
pin16.write_digital(1) # Chip select off
return result
spi.init(baudrate=100000)
whi... | 21.210526 | 45 | 0.652605 | 62 | 403 | 4.177419 | 0.564516 | 0.081081 | 0.131274 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058065 | 0.230769 | 403 | 19 | 46 | 21.210526 | 0.777419 | 0.066998 | 0 | 0 | 0 | 0 | 0.005348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.3125 | 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 |
e48f98c85bda6baa0cc86d71b689b55e8122a390 | 16,653 | py | Python | hasher-matcher-actioner/hmalib/models.py | isabella232/ThreatExchange | 0d07a800bbf25d8541f40b828e2dfd377395af9b | [
"BSD-3-Clause"
] | null | null | null | hasher-matcher-actioner/hmalib/models.py | isabella232/ThreatExchange | 0d07a800bbf25d8541f40b828e2dfd377395af9b | [
"BSD-3-Clause"
] | 1 | 2021-04-19T10:20:43.000Z | 2021-04-19T10:20:43.000Z | hasher-matcher-actioner/hmalib/models.py | isabella232/ThreatExchange | 0d07a800bbf25d8541f40b828e2dfd377395af9b | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import datetime
import typing as t
import json
from dataclasses import dataclass, field
from mypy_boto3_dynamodb.service_resource import Table
from boto3.dynamodb.conditions import Attr, Key
"""
Data transfer object classes to be used with dynamod... | 32.273256 | 110 | 0.623311 | 1,984 | 16,653 | 5.020665 | 0.147177 | 0.030117 | 0.015661 | 0.008031 | 0.52314 | 0.477562 | 0.399157 | 0.384098 | 0.327377 | 0.300371 | 0 | 0.000912 | 0.275986 | 16,653 | 515 | 111 | 32.335922 | 0.825247 | 0.1461 | 0 | 0.527624 | 0 | 0 | 0.085471 | 0.018143 | 0 | 0 | 0 | 0.003884 | 0 | 1 | 0.107735 | false | 0 | 0.016575 | 0.049724 | 0.328729 | 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 |
e494747ad6589e1234241f26ac62dacfe6cecd8c | 998 | py | Python | test/test_truss.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | 1 | 2020-01-27T12:03:47.000Z | 2020-01-27T12:03:47.000Z | test/test_truss.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | null | null | null | test/test_truss.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from ddtruss import Truss, DataDrivenSolver
points = np.array([[0, 0], [1, 0], [0.5, 0.5], [2, 1]])
lines = np.array([[0, 2], [1, 2], [1, 3], [2, 3]], dtype=int)
truss = Truss(points, lines)
E = 1.962e11
A = [2e-4, 2e-4, 1e-4, 1e-4]
U_dict = {0: [0, 0], 1: [0, 0]}
F_dict = {3: [0, -... | 24.95 | 77 | 0.621242 | 185 | 998 | 3.194595 | 0.318919 | 0.027073 | 0.060914 | 0.030457 | 0.155668 | 0.138748 | 0.138748 | 0.138748 | 0.138748 | 0.138748 | 0 | 0.129743 | 0.181363 | 998 | 39 | 78 | 25.589744 | 0.593635 | 0 | 0 | 0 | 0 | 0 | 0.006012 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.071429 | false | 0 | 0.107143 | 0 | 0.178571 | 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 |
e49516ca8ad700f85017d9325736d77d5ccd8a3d | 2,326 | py | Python | PTO-yelp/Modules/attention_classifier.py | LegendTianjin/Point-Then-Operate | a6b0818343bc34c468738ab91ecea89dd03a9535 | [
"Apache-2.0"
] | 50 | 2019-06-06T05:30:32.000Z | 2021-11-18T07:24:36.000Z | PTO-yelp/Modules/attention_classifier.py | lancopku/Point-Then-Operate | 1c04ec326b52fc65f97f5610a6f16f6e938d583e | [
"Apache-2.0"
] | 2 | 2019-08-30T09:49:26.000Z | 2020-01-17T04:20:53.000Z | PTO-yelp/Modules/attention_classifier.py | ChenWu98/Point-Then-Operate | a6b0818343bc34c468738ab91ecea89dd03a9535 | [
"Apache-2.0"
] | 7 | 2019-06-17T06:20:47.000Z | 2020-10-26T03:19:44.000Z | import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from utils.utils import gpu_wrapper
from Modules.subModules.attention import AttentionUnit
from torch.nn.utils.rnn import pack_padded_sequence as pack
from torch.nn.utils.rnn import pad_pa... | 41.535714 | 136 | 0.564488 | 328 | 2,326 | 3.759146 | 0.256098 | 0.045418 | 0.045418 | 0.040552 | 0.148418 | 0.136253 | 0.060016 | 0.029197 | 0.029197 | 0.029197 | 0 | 0.014715 | 0.328031 | 2,326 | 55 | 137 | 42.290909 | 0.774152 | 0.141445 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.238095 | 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 |
e4954d56f09841ccf54e7784967df8b418345b0e | 569 | py | Python | minion/parser.py | timofurrer/minion-ci | 411d0ea6638fb37d7e170cc8c8c5815304cc9f5c | [
"MIT"
] | 49 | 2016-03-07T06:42:40.000Z | 2021-03-06T02:43:02.000Z | minion/parser.py | timofurrer/minion-ci | 411d0ea6638fb37d7e170cc8c8c5815304cc9f5c | [
"MIT"
] | 16 | 2016-03-08T07:20:52.000Z | 2017-04-21T18:15:12.000Z | minion/parser.py | timofurrer/minion-ci | 411d0ea6638fb37d7e170cc8c8c5815304cc9f5c | [
"MIT"
] | 9 | 2016-03-29T22:08:52.000Z | 2021-06-16T16:29:30.000Z | """
`minion-ci` is a minimalist, decentralized, flexible Continuous Integration Server for hackers.
This module contains the parser to parse the `minion.yml` file.
:copyright: (c) by Timo Furrer
:license: MIT, see LICENSE for details
"""
import yaml
from .errors import MinionError
def parse(path):... | 24.73913 | 99 | 0.681898 | 75 | 569 | 5.146667 | 0.693333 | 0.069948 | 0.067358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.233743 | 569 | 22 | 100 | 25.863636 | 0.885321 | 0.462214 | 0 | 0 | 0 | 0 | 0.162455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e49b044e4f3bdfef09e6426d0ff3c5f755aa63ae | 1,464 | py | Python | bufflog/bufflog.py | bufferapp/python-bufflog | 12d218dfb917419789c720fb1851a35708909810 | [
"MIT"
] | null | null | null | bufflog/bufflog.py | bufferapp/python-bufflog | 12d218dfb917419789c720fb1851a35708909810 | [
"MIT"
] | null | null | null | bufflog/bufflog.py | bufferapp/python-bufflog | 12d218dfb917419789c720fb1851a35708909810 | [
"MIT"
] | 1 | 2021-02-08T12:53:43.000Z | 2021-02-08T12:53:43.000Z | import structlog
import logging
import sys
import os
from structlog.processors import JSONRenderer
from structlog.stdlib import filter_by_level
from structlog.stdlib import add_log_level_number
from .datadog import tracer_injection
def rename_message_key(_, __, event_dict):
event_dict["message"] = event_dict["e... | 24.4 | 57 | 0.705601 | 165 | 1,464 | 5.945455 | 0.363636 | 0.091743 | 0.042813 | 0.050968 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00258 | 0.205601 | 1,464 | 59 | 58 | 24.813559 | 0.840929 | 0 | 0 | 0.045455 | 0 | 0 | 0.047814 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068182 | false | 0 | 0.181818 | 0 | 0.318182 | 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 |
e49cb572bd1c712b03397fca3826c3ed98801ce6 | 990 | py | Python | templator.py | daren-thomas/template-system-example | 248d2f78392be826f3223ee27e90c82feb70a17a | [
"MIT"
] | null | null | null | templator.py | daren-thomas/template-system-example | 248d2f78392be826f3223ee27e90c82feb70a17a | [
"MIT"
] | null | null | null | templator.py | daren-thomas/template-system-example | 248d2f78392be826f3223ee27e90c82feb70a17a | [
"MIT"
] | null | null | null | """
templator.py reads in an excel file and a template and outputs a file for each row
in the excel file, by substituting the template variables with the values in the columns.
This technique uses pandas to read the excel file into a DataFrame and the python format operator ``%```
to apply the values.
"""
import sys
... | 34.137931 | 104 | 0.706061 | 150 | 990 | 4.486667 | 0.42 | 0.106984 | 0.053492 | 0.062407 | 0.166419 | 0.092125 | 0.092125 | 0.092125 | 0 | 0 | 0 | 0 | 0.19899 | 990 | 29 | 105 | 34.137931 | 0.848676 | 0.417172 | 0 | 0 | 0 | 0 | 0.075571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4a3bd3abdfaed582c987ca4af954c061d659067 | 24,952 | py | Python | src/menus/user/Menu.py | stregea/TransactionTrackr | c38b99d56816becaa47a21400fb20c615d3483ef | [
"MIT"
] | 2 | 2021-07-02T19:49:24.000Z | 2021-07-08T02:59:25.000Z | src/menus/user/Menu.py | stregea/TransactionTrackr | c38b99d56816becaa47a21400fb20c615d3483ef | [
"MIT"
] | null | null | null | src/menus/user/Menu.py | stregea/TransactionTrackr | c38b99d56816becaa47a21400fb20c615d3483ef | [
"MIT"
] | null | null | null | from objects.user.User import User
from objects.interface.dbconn import DB
from objects.user.Currency import get_currency_symbol
from objects.threads.UploadThread import UploadThread
import utils.globals as _globals
from utils.print import print_message, print_error
from utils.enums import Months, SettingsSelection, is... | 42.726027 | 142 | 0.631412 | 3,134 | 24,952 | 4.835992 | 0.108807 | 0.020586 | 0.03299 | 0.008709 | 0.56763 | 0.512338 | 0.474927 | 0.442531 | 0.424584 | 0.402481 | 0 | 0.00406 | 0.299094 | 24,952 | 583 | 143 | 42.799314 | 0.862542 | 0.27084 | 0 | 0.431755 | 0 | 0 | 0.121734 | 0.036176 | 0 | 0 | 0 | 0.001715 | 0 | 1 | 0.050139 | false | 0 | 0.041783 | 0 | 0.178273 | 0.147632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4a69e3428e588c7d00739ddb17751edb51f6451 | 1,717 | py | Python | website/CookieHelper.py | sousic/flask.huny.kr | 53a8f5af1fa63b290a4e97278a86328758e97d43 | [
"MIT"
] | null | null | null | website/CookieHelper.py | sousic/flask.huny.kr | 53a8f5af1fa63b290a4e97278a86328758e97d43 | [
"MIT"
] | null | null | null | website/CookieHelper.py | sousic/flask.huny.kr | 53a8f5af1fa63b290a4e97278a86328758e97d43 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
import base64
from functools import wraps
import pyaes
from flask import request
from werkzeug.utils import redirect
from website.domain.UserVO import UserVO
class CookieHelper(object):
def init_app(self, app):
self.app = app
self.app.cookie_helper = self
def SetCook... | 28.616667 | 90 | 0.594059 | 196 | 1,717 | 5.122449 | 0.367347 | 0.048805 | 0.051793 | 0.065737 | 0.241036 | 0.195219 | 0.195219 | 0.195219 | 0.093626 | 0 | 0 | 0.009362 | 0.315667 | 1,717 | 60 | 91 | 28.616667 | 0.845106 | 0.033197 | 0 | 0.23913 | 0 | 0 | 0.025966 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.152174 | false | 0 | 0.130435 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4a6e1bb797c7875ed388c77bf15d0c26b3189cb | 3,652 | py | Python | export_resized_ios_assets.py | Tubbebubbe/gimp-plugins | 11221ded072d8d3001202f30fda266e0cccd3a36 | [
"MIT"
] | 4 | 2016-08-03T18:20:59.000Z | 2020-05-24T04:38:47.000Z | export_resized_ios_assets.py | Tubbebubbe/gimp-plugins | 11221ded072d8d3001202f30fda266e0cccd3a36 | [
"MIT"
] | null | null | null | export_resized_ios_assets.py | Tubbebubbe/gimp-plugins | 11221ded072d8d3001202f30fda266e0cccd3a36 | [
"MIT"
] | 2 | 2017-10-23T08:23:36.000Z | 2020-05-24T04:38:57.000Z | #!/usr/bin/env python
"""
export_resized_ios_images
Gimp plugin to export image to icon files usable on iOS.
Author:
-------
Tobias Blom, Techne Development AB <tobias.blom@techne-dev.se>
Installation:
-------------
Under Mac OS X, copy this file to ~/Library/Application Support/GIMP/x.x/plug-ins and
make it exec... | 33.504587 | 85 | 0.659639 | 529 | 3,652 | 4.478261 | 0.404537 | 0.020262 | 0.032081 | 0.030393 | 0.124947 | 0.124947 | 0.124947 | 0.065851 | 0.037991 | 0.037991 | 0 | 0.045833 | 0.211391 | 3,652 | 108 | 86 | 33.814815 | 0.776736 | 0.597207 | 0 | 0.057143 | 0 | 0.057143 | 0.235978 | 0.0171 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.057143 | 0 | 0.171429 | 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 |
e4a93421928eb84ea60e2492daf9f320c6c9d564 | 8,417 | py | Python | site/office/compline.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 19 | 2020-01-12T23:57:22.000Z | 2022-03-30T16:35:17.000Z | site/office/compline.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 59 | 2020-01-13T00:45:27.000Z | 2022-02-20T04:10:05.000Z | site/office/compline.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 7 | 2020-01-21T21:12:03.000Z | 2021-10-24T01:15:50.000Z | import datetime
from django.utils.functional import cached_property
from django.utils.safestring import mark_safe
from office.offices import Office, OfficeSection
from psalter.utils import get_psalms
class Compline(Office):
name = "Compline"
office = "compline"
def __init__(self, *args, **kwargs):
... | 43.386598 | 345 | 0.640489 | 1,088 | 8,417 | 4.89614 | 0.305147 | 0.046555 | 0.027032 | 0.028909 | 0.337526 | 0.327389 | 0.267881 | 0.171766 | 0.074338 | 0.047306 | 0 | 0.012604 | 0.255317 | 8,417 | 193 | 346 | 43.611399 | 0.837269 | 0.006653 | 0 | 0.271523 | 0 | 0.072848 | 0.412546 | 0.033042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092715 | false | 0 | 0.033113 | 0.072848 | 0.364238 | 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 |
e4a98810c99783995caf35d9ff70ccf375552008 | 1,735 | py | Python | src/tide_constituents/water_level_prediction.py | slawler/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | 1 | 2020-03-13T07:51:44.000Z | 2020-03-13T07:51:44.000Z | src/tide_constituents/water_level_prediction.py | cheginit/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | null | null | null | src/tide_constituents/water_level_prediction.py | cheginit/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | 1 | 2020-03-13T14:44:57.000Z | 2020-03-13T14:44:57.000Z | import tide_constituents as tc
from py_noaa import coops
import pandas as pd
import numpy as np
import tappy
start = '20180201'
end = '20180228'
interval = 1
start = pd.to_datetime(start)
end = pd.to_datetime(end)
d = start
w, t, p, r = [], [], [], []
while d < end:
start_ = d
end_ = start_ + pd.DateOffs... | 30.438596 | 93 | 0.663977 | 251 | 1,735 | 4.394422 | 0.386454 | 0.081596 | 0.035358 | 0.054397 | 0.107888 | 0.045331 | 0 | 0 | 0 | 0 | 0 | 0.037324 | 0.181556 | 1,735 | 57 | 94 | 30.438596 | 0.739437 | 0 | 0 | 0 | 0 | 0 | 0.077189 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.116279 | 0.023256 | 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 |
e4ae21080507e35b553b7b372118c5c586495e00 | 7,867 | py | Python | main/make_gradsamplingbasedexact_mesh.py | tttor/nbwpg | 271718362cf0cd810c7ea0cd9726e77276947e58 | [
"MIT"
] | null | null | null | main/make_gradsamplingbasedexact_mesh.py | tttor/nbwpg | 271718362cf0cd810c7ea0cd9726e77276947e58 | [
"MIT"
] | null | null | null | main/make_gradsamplingbasedexact_mesh.py | tttor/nbwpg | 271718362cf0cd810c7ea0cd9726e77276947e58 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse, os, sys, pickle
import numpy as np, pathos.multiprocessing as mp, torch
import gym_util.common_util as cou, polnet as pn, util_bwopt as u
from collections import defaultdict
from poleval_pytorch import get_rpi_s, get_Ppi_ss, get_ppisteady_s, get_Qsa
def main():
arg = parse_a... | 45.473988 | 109 | 0.645862 | 1,116 | 7,867 | 4.341398 | 0.253584 | 0.016512 | 0.01548 | 0.010733 | 0.175439 | 0.105263 | 0.096594 | 0.071827 | 0.063158 | 0.063158 | 0 | 0.002568 | 0.208084 | 7,867 | 172 | 110 | 45.738372 | 0.77512 | 0.096479 | 0 | 0.066176 | 0 | 0 | 0.097754 | 0.01568 | 0 | 0 | 0 | 0 | 0.029412 | 1 | 0.022059 | false | 0 | 0.036765 | 0 | 0.073529 | 0.044118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4b72c3c2f5a5bbfee4b0bb9f47cf02969cbd82b | 31,394 | py | Python | plotoptix/tkoptix.py | robertsulej/plotoptix | 628694351791c7fb8cd631a6efe6cc0fd7d9f4f8 | [
"libtiff",
"MIT"
] | 307 | 2019-04-03T10:51:41.000Z | 2022-03-28T05:35:09.000Z | plotoptix/tkoptix.py | robertsulej/plotoptix | 628694351791c7fb8cd631a6efe6cc0fd7d9f4f8 | [
"libtiff",
"MIT"
] | 27 | 2019-05-11T08:53:32.000Z | 2022-02-07T22:43:21.000Z | plotoptix/tkoptix.py | robertsulej/plotoptix | 628694351791c7fb8cd631a6efe6cc0fd7d9f4f8 | [
"libtiff",
"MIT"
] | 21 | 2019-08-29T21:50:23.000Z | 2022-03-03T05:21:15.000Z | """
Tkinter UI for PlotOptiX raytracer.
https://github.com/rnd-team-dev/plotoptix/blob/master/LICENSE.txt
Have a look at examples on GitHub: https://github.com/rnd-team-dev/plotoptix.
"""
import logging
import numpy as np
import tkinter as tk
from PIL import Image, ImageTk
from ctypes import byref, c_float, c_uint
... | 46.099853 | 183 | 0.580334 | 4,036 | 31,394 | 4.198464 | 0.117939 | 0.048864 | 0.03051 | 0.035409 | 0.514724 | 0.47483 | 0.434287 | 0.399056 | 0.336205 | 0.316022 | 0 | 0.008039 | 0.306587 | 31,394 | 680 | 184 | 46.167647 | 0.770362 | 0.168949 | 0 | 0.385965 | 0 | 0.008772 | 0.075247 | 0 | 0 | 0 | 0.001204 | 0 | 0.008772 | 1 | 0.059211 | false | 0 | 0.019737 | 0 | 0.10307 | 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 |
e4ba683b1acdb8fa2966f9142fd6e41d884299cc | 4,144 | py | Python | app.py | apizzo1/Hindsight_2020 | 51a124c7363a80ebd00999a3812a91c0b27f62cd | [
"MIT"
] | null | null | null | app.py | apizzo1/Hindsight_2020 | 51a124c7363a80ebd00999a3812a91c0b27f62cd | [
"MIT"
] | null | null | null | app.py | apizzo1/Hindsight_2020 | 51a124c7363a80ebd00999a3812a91c0b27f62cd | [
"MIT"
] | 1 | 2020-09-30T02:56:29.000Z | 2020-09-30T02:56:29.000Z | import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
import os
import requests
import urllib.parse
# API key introduction
# API_KEY = os.environ.get('API_KEY', '')
finnhub_API_Key = os.environ.get('finnhub_API_Key', '')
from... | 36.034783 | 341 | 0.707288 | 586 | 4,144 | 4.798635 | 0.290102 | 0.046942 | 0.027383 | 0.032361 | 0.455903 | 0.394737 | 0.354196 | 0.354196 | 0.354196 | 0.354196 | 0 | 0.009017 | 0.143581 | 4,144 | 114 | 342 | 36.350877 | 0.783319 | 0.127172 | 0 | 0.171429 | 0 | 0.014286 | 0.327586 | 0.042547 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128571 | false | 0 | 0.114286 | 0.014286 | 0.357143 | 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 |
e4ba6ef688aa37560a69eb7860a151045a256156 | 1,156 | py | Python | Project.py | nishitde/Data-Dictionary | 4da47de16739d3a255c36b1060244d7cb1df6bae | [
"MIT"
] | null | null | null | Project.py | nishitde/Data-Dictionary | 4da47de16739d3a255c36b1060244d7cb1df6bae | [
"MIT"
] | null | null | null | Project.py | nishitde/Data-Dictionary | 4da47de16739d3a255c36b1060244d7cb1df6bae | [
"MIT"
] | null | null | null | import json
from difflib import get_close_matches
data = json.load(open("data.json"))
word = input("Enter a word: ")
try:
def translate(word):
word = word.lower()
if word in data:
return data[word]
elif word.title() in data:
return data[word.title()]
... | 28.195122 | 85 | 0.50519 | 135 | 1,156 | 4.296296 | 0.392593 | 0.068966 | 0.062069 | 0.082759 | 0.322414 | 0.218966 | 0.218966 | 0.218966 | 0.218966 | 0.151724 | 0 | 0.00137 | 0.368512 | 1,156 | 40 | 86 | 28.9 | 0.793151 | 0 | 0 | 0.151515 | 0 | 0 | 0.182796 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.060606 | 0 | 0.272727 | 0.121212 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4c31aee7bfbc8595d53ad5906b60459c10165ee | 3,472 | py | Python | service/recv_setup.py | mikroncoin/mikron_restapi_py | 79cd47c8f26615ccd27c9764c92299f8cebd578a | [
"BSD-2-Clause"
] | null | null | null | service/recv_setup.py | mikroncoin/mikron_restapi_py | 79cd47c8f26615ccd27c9764c92299f8cebd578a | [
"BSD-2-Clause"
] | 6 | 2018-09-27T07:12:28.000Z | 2019-08-14T10:13:13.000Z | service/recv_setup.py | mikroncoin/mikron_restapi_py | 79cd47c8f26615ccd27c9764c92299f8cebd578a | [
"BSD-2-Clause"
] | null | null | null | import config
import recv_db
import node_rpc_helper
import threading
from time import sleep, time
setup_check_background_result = {"msg": "(uninitialized)"}
config = config.readConfig()
last_check_time = time() - 10000
def get_setup_check_background():
global setup_check_background_result
return setup_check_... | 32.754717 | 93 | 0.616647 | 497 | 3,472 | 4.036217 | 0.160966 | 0.053838 | 0.089731 | 0.103689 | 0.367398 | 0.199402 | 0.105683 | 0 | 0 | 0 | 0 | 0.005878 | 0.264977 | 3,472 | 105 | 94 | 33.066667 | 0.780172 | 0.140841 | 0 | 0.064103 | 0 | 0 | 0.154806 | 0.024283 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.064103 | 0 | 0.141026 | 0.141026 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4c4f544669d2e4b222ccb9bd7786787ddb72fee | 784 | py | Python | 2015/day/2/solution.py | iangregson/advent-of-code | e2a2dde30dcaed027a5ba78f9270f8a1976577f1 | [
"MIT"
] | null | null | null | 2015/day/2/solution.py | iangregson/advent-of-code | e2a2dde30dcaed027a5ba78f9270f8a1976577f1 | [
"MIT"
] | null | null | null | 2015/day/2/solution.py | iangregson/advent-of-code | e2a2dde30dcaed027a5ba78f9270f8a1976577f1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
file = open(dir_path + "/input.txt", "r")
lines = file.readlines()
lines = [line.strip() for line in lines]
# lines = ["2x3x4", "1x1x10"]
total = 0
for line in lines:
l, w, h = [int(v) for v in line.split('x')]
side1 = ... | 21.777778 | 54 | 0.598214 | 134 | 784 | 3.425373 | 0.335821 | 0.017429 | 0.058824 | 0.091503 | 0.344227 | 0.344227 | 0.344227 | 0.20915 | 0.20915 | 0.20915 | 0 | 0.060201 | 0.237245 | 784 | 35 | 55 | 22.4 | 0.707358 | 0.0625 | 0 | 0.32 | 0 | 0 | 0.055935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.04 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4c67370682280607f52d85bc867fcf1b22bcd29 | 2,611 | py | Python | src/utils/__init__.py | ppolewicz/screeps-starter-python | dd2f5646a53c9353bf99e976e5f362e297715e96 | [
"MIT"
] | null | null | null | src/utils/__init__.py | ppolewicz/screeps-starter-python | dd2f5646a53c9353bf99e976e5f362e297715e96 | [
"MIT"
] | null | null | null | src/utils/__init__.py | ppolewicz/screeps-starter-python | dd2f5646a53c9353bf99e976e5f362e297715e96 | [
"MIT"
] | null | null | null | from creeps.scheduled_action import ScheduledAction
def part_count(creep, of_type):
count = 0
for part in creep.body:
if part['type'] == of_type:
count += 1
return count
def get_first_spawn(room):
for s in room.find(FIND_MY_STRUCTURES):
if s.structureType == STRUCTURE_SPAWN... | 23.522523 | 91 | 0.550747 | 339 | 2,611 | 4.061947 | 0.289086 | 0.011619 | 0.015251 | 0.011619 | 0.156137 | 0.129267 | 0.076979 | 0.023239 | 0.023239 | 0.023239 | 0 | 0.029512 | 0.325163 | 2,611 | 110 | 92 | 23.736364 | 0.751986 | 0.044044 | 0 | 0.076923 | 0 | 0 | 0.004013 | 0 | 0 | 0 | 0 | 0.009091 | 0 | 1 | 0.10989 | false | 0 | 0.010989 | 0.010989 | 0.241758 | 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 |
e4c8185a2c9690234bd9c6872e272faa663e2d58 | 2,419 | py | Python | src/sidecar/connection.py | aldanor/sidecar | 5353bc4120a01460f6b1e51ea8e1fcafb0524782 | [
"Apache-2.0"
] | null | null | null | src/sidecar/connection.py | aldanor/sidecar | 5353bc4120a01460f6b1e51ea8e1fcafb0524782 | [
"Apache-2.0"
] | null | null | null | src/sidecar/connection.py | aldanor/sidecar | 5353bc4120a01460f6b1e51ea8e1fcafb0524782 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import json
import logging
import os
from sockjs.tornado import SockJSRouter, SockJSConnection
from tornado.web import RequestHandler, StaticFileHandler
from tornado.web import Application
from tornado.ioloop import IOLoop
from sidecar.utils import log
class WebHandler(RequestHandler):
d... | 26.582418 | 76 | 0.613477 | 285 | 2,419 | 5.126316 | 0.319298 | 0.032854 | 0.043806 | 0.028747 | 0.087611 | 0.032854 | 0 | 0 | 0 | 0 | 0 | 0.002795 | 0.260438 | 2,419 | 90 | 77 | 26.877778 | 0.813862 | 0.008681 | 0 | 0.121212 | 0 | 0 | 0.038815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.121212 | 0 | 0.393939 | 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 |
e4c821a03a137cb22747cf95a778dd8018d7963b | 1,210 | py | Python | 1-100/31-40/31-nextPermutation/nextPermutation.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/31-40/31-nextPermutation/nextPermutation.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/31-40/31-nextPermutation/nextPermutation.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | class Solution(object):
def nextPermutation(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
flag = False
for i in range(len(nums)-2, -1, -1):
if nums[i] < nums[i+1]:
flag = True... | 30.25 | 74 | 0.400826 | 145 | 1,210 | 3.344828 | 0.248276 | 0.134021 | 0.11134 | 0.049485 | 0.529897 | 0.470103 | 0.358763 | 0.243299 | 0.243299 | 0 | 0 | 0.029231 | 0.46281 | 1,210 | 40 | 75 | 30.25 | 0.716923 | 0.146281 | 0 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.153846 | 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 |
e4c9e7db24e7faa2d384c8fed0def5b98126bad5 | 4,584 | py | Python | recognizer/sat_plan_recognizer.py | RukNdf/MA-Landmark | 4038ebe7edc9e353e1987479f5f9edc528a4bd2a | [
"Unlicense"
] | null | null | null | recognizer/sat_plan_recognizer.py | RukNdf/MA-Landmark | 4038ebe7edc9e353e1987479f5f9edc528a4bd2a | [
"Unlicense"
] | null | null | null | recognizer/sat_plan_recognizer.py | RukNdf/MA-Landmark | 4038ebe7edc9e353e1987479f5f9edc528a4bd2a | [
"Unlicense"
] | null | null | null | import time
from z3 import Solver, Implies, sat, Const, Function, IntSort, ForAll, DeclareSort
from recognizer.pddl.pddl_planner import applicable
from recognizer.pddl.sat_planner import SATPlanner
from recognizer.plan_recognizer import PlanRecognizer
class SATPlanRecognizer(PlanRecognizer):
name = "sat"
... | 43.245283 | 123 | 0.610384 | 556 | 4,584 | 4.899281 | 0.246403 | 0.04442 | 0.028634 | 0.044053 | 0.290015 | 0.210352 | 0.122981 | 0.098752 | 0.062775 | 0.062775 | 0 | 0.007207 | 0.27356 | 4,584 | 105 | 124 | 43.657143 | 0.810811 | 0.095113 | 0 | 0.101266 | 0 | 0 | 0.041818 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063291 | false | 0 | 0.063291 | 0.012658 | 0.189873 | 0.075949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4cbdc38c4ab5669908483516a67bda51e21ba7f | 1,431 | py | Python | somato/06_dipole.py | larsoner/beamformer_simulation | ebc9cfc8bc73434ecd995c3b85560db962642307 | [
"BSD-3-Clause"
] | 2 | 2019-06-03T21:09:24.000Z | 2020-05-29T20:53:22.000Z | somato/06_dipole.py | larsoner/beamformer_simulation | ebc9cfc8bc73434ecd995c3b85560db962642307 | [
"BSD-3-Clause"
] | null | null | null | somato/06_dipole.py | larsoner/beamformer_simulation | ebc9cfc8bc73434ecd995c3b85560db962642307 | [
"BSD-3-Clause"
] | 4 | 2019-07-14T02:44:40.000Z | 2020-05-28T18:05:26.000Z | import os.path as op
import numpy as np
import matplotlib.pyplot as plt
import mne
from nilearn.plotting import plot_anat
from config import fname, subject_id, n_jobs
report = mne.open_report(fname.report)
epochs = mne.read_epochs(fname.epochs)
noise_cov = mne.compute_covariance(epochs, tmin=-0.2, tmax=0, method='s... | 36.692308 | 91 | 0.750524 | 240 | 1,431 | 4.283333 | 0.433333 | 0.026265 | 0.036965 | 0.044747 | 0.05642 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018268 | 0.120196 | 1,431 | 38 | 92 | 37.657895 | 0.798253 | 0.061495 | 0 | 0 | 0 | 0 | 0.050746 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4cbe718ce99cfda8db68cebd8b2f70d40be2a56 | 299 | py | Python | Exercicios/Resposta-EstruturaDeDecisao/Exerc_4.py | ThaisAlves7/Exercicios_PythonBrasil | 3c55f56c44b4da9953a79398859e7c73a155dc0e | [
"MIT"
] | null | null | null | Exercicios/Resposta-EstruturaDeDecisao/Exerc_4.py | ThaisAlves7/Exercicios_PythonBrasil | 3c55f56c44b4da9953a79398859e7c73a155dc0e | [
"MIT"
] | null | null | null | Exercicios/Resposta-EstruturaDeDecisao/Exerc_4.py | ThaisAlves7/Exercicios_PythonBrasil | 3c55f56c44b4da9953a79398859e7c73a155dc0e | [
"MIT"
] | null | null | null | # Faça um programa que verifique se uma letra digitada é vogal ou consoante.
vogais = ['A', 'E', 'I', 'O', 'U']
letra = input('Digite uma letra: ').strip()
letra = letra.capitalize()
if letra in vogais:
print(f'A letra {letra} é uma vogal')
else:
print(f'A letra {letra} é uma consoante') | 27.181818 | 76 | 0.655518 | 49 | 299 | 4 | 0.571429 | 0.153061 | 0.071429 | 0.122449 | 0.214286 | 0.214286 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0.190635 | 299 | 11 | 77 | 27.181818 | 0.809917 | 0.247492 | 0 | 0 | 0 | 0 | 0.361607 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4cc48259575ae3ff337d2ba3e8068256382c270 | 21,443 | py | Python | summarization_utils.py | allenai/advisor | 6849755042c6dab1488f64cf21bde2322add3cc1 | [
"Apache-2.0"
] | 5 | 2021-12-13T18:21:35.000Z | 2022-03-27T17:18:09.000Z | summarization_utils.py | allenai/advisor | 6849755042c6dab1488f64cf21bde2322add3cc1 | [
"Apache-2.0"
] | null | null | null | summarization_utils.py | allenai/advisor | 6849755042c6dab1488f64cf21bde2322add3cc1 | [
"Apache-2.0"
] | null | null | null | import ast
import hashlib
import json
import os
from collections import defaultdict
from typing import Tuple, Sequence, Dict, Optional, Union, Any, Set
import compress_pickle
import matplotlib.pyplot as plt
import numpy as np
import pandas
import pandas as pd
from filelock import FileLock
from allenact.utils.misc_uti... | 36.221284 | 88 | 0.533834 | 2,539 | 21,443 | 4.157936 | 0.155179 | 0.018945 | 0.006062 | 0.024249 | 0.417732 | 0.345458 | 0.275173 | 0.220422 | 0.177039 | 0.162167 | 0 | 0.012613 | 0.375134 | 21,443 | 591 | 89 | 36.282572 | 0.775282 | 0.018934 | 0 | 0.19802 | 0 | 0 | 0.058644 | 0.017136 | 0 | 0 | 0 | 0 | 0.013861 | 1 | 0.015842 | false | 0 | 0.033663 | 0 | 0.065347 | 0.015842 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4d249940b5e4b94dccb108c35a99b6f1dfb8b25 | 899 | py | Python | mylog.py | james-prior/python-asyncio-experiments | eeda9aafe855f2ef666c694cc6fa85ceef91cfe5 | [
"MIT"
] | null | null | null | mylog.py | james-prior/python-asyncio-experiments | eeda9aafe855f2ef666c694cc6fa85ceef91cfe5 | [
"MIT"
] | null | null | null | mylog.py | james-prior/python-asyncio-experiments | eeda9aafe855f2ef666c694cc6fa85ceef91cfe5 | [
"MIT"
] | null | null | null | import datetime
def format_time(t):
return f'{t.seconds:2}.{t.microseconds:06}'
def log(message):
'''
prints a line with:
elapsed time since this function was first called
elapsed time since this function was previously called
message
Elapsed times are shown in seconds with mi... | 24.972222 | 66 | 0.694105 | 124 | 899 | 4.717742 | 0.403226 | 0.082051 | 0.075214 | 0.102564 | 0.307692 | 0.191453 | 0 | 0 | 0 | 0 | 0 | 0.004464 | 0.252503 | 899 | 35 | 67 | 25.685714 | 0.866071 | 0.285873 | 0 | 0.1 | 0 | 0 | 0.054455 | 0.054455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.05 | 0.05 | 0.2 | 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 |
e4d4b64f36bac32559212d9f09ad4caa0d9bfce2 | 286 | py | Python | tests/superset_test_config.py | manueliglesiasgarcia/superset-api-client | 268b36d3b9694895f0e4a9595af7b592ac7c5b77 | [
"Apache-2.0"
] | 11 | 2021-05-07T16:34:52.000Z | 2022-03-17T07:54:56.000Z | tests/superset_test_config.py | manueliglesiasgarcia/superset-api-client | 268b36d3b9694895f0e4a9595af7b592ac7c5b77 | [
"Apache-2.0"
] | 10 | 2021-10-08T20:03:59.000Z | 2022-03-18T18:28:09.000Z | tests/superset_test_config.py | manueliglesiasgarcia/superset-api-client | 268b36d3b9694895f0e4a9595af7b592ac7c5b77 | [
"Apache-2.0"
] | 6 | 2021-07-09T18:23:09.000Z | 2022-03-19T09:23:19.000Z | """Configuration for tests"""
import tempfile
DEBUG = True
TESTING = True
WTF_CSRF_ENABLED = False
# APP CONFIG
# Creating a tempfile
SQLALCHEMY_DATABASE_URI = f"sqlite://{tempfile.mkdtemp()}/test.db"
# WEBSERVER
SUPERSET_WEBSERVER_ADDRESS = "0.0.0.0"
SUPERSET_WEBSERVER_PORT = 8080
| 19.066667 | 66 | 0.765734 | 39 | 286 | 5.410256 | 0.769231 | 0.028436 | 0.028436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031873 | 0.122378 | 286 | 14 | 67 | 20.428571 | 0.808765 | 0.227273 | 0 | 0 | 0 | 0 | 0.206573 | 0.173709 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4d7188d1126cf74926c3e66a423812722a2540a | 22,051 | py | Python | special_k/tests/test_signing.py | namoopsoo/special_k | 816ad200e8608d862e20971dc2bc4d2724aaf0bc | [
"Apache-2.0"
] | null | null | null | special_k/tests/test_signing.py | namoopsoo/special_k | 816ad200e8608d862e20971dc2bc4d2724aaf0bc | [
"Apache-2.0"
] | null | null | null | special_k/tests/test_signing.py | namoopsoo/special_k | 816ad200e8608d862e20971dc2bc4d2724aaf0bc | [
"Apache-2.0"
] | null | null | null | # Copyright 2020-present Kensho Technologies, LLC.
from datetime import datetime
import glob
import os
import time
from unittest.mock import Mock
import funcy
import gpg
import pytest
from . import _UNSAFE_KEY_PASSPHRASE, FAKE_KEYS_DIR, TESTING_ENVVAR, TRUSTED_DIR_ENVVAR
from ..check_gpg_keys import (
_verify_tru... | 42.984405 | 100 | 0.655072 | 2,576 | 22,051 | 5.320264 | 0.157997 | 0.027581 | 0.033564 | 0.027362 | 0.63174 | 0.586428 | 0.563809 | 0.539511 | 0.509814 | 0.495586 | 0 | 0.02523 | 0.275634 | 22,051 | 512 | 101 | 43.068359 | 0.83278 | 0.15378 | 0 | 0.584416 | 0 | 0 | 0.196385 | 0.103168 | 0 | 0 | 0 | 0.001953 | 0.101299 | 1 | 0.036364 | false | 0.049351 | 0.041558 | 0 | 0.090909 | 0.067532 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4d7953efcb7408bce5180ef4d3341f1a6b7b1ad | 4,603 | py | Python | src/models/CORAL-LM/coral/interactive.py | behavioral-data/multiverse | 82b7265de0aa3e9d229ce9f3f86b8b48435ca365 | [
"MIT"
] | null | null | null | src/models/CORAL-LM/coral/interactive.py | behavioral-data/multiverse | 82b7265de0aa3e9d229ce9f3f86b8b48435ca365 | [
"MIT"
] | null | null | null | src/models/CORAL-LM/coral/interactive.py | behavioral-data/multiverse | 82b7265de0aa3e9d229ce9f3f86b8b48435ca365 | [
"MIT"
] | 1 | 2021-08-19T15:21:50.000Z | 2021-08-19T15:21:50.000Z | import argparse
from torch.utils.data import DataLoader
from .model import BERT
from .trainer import BERTTrainer
from .dataset import DataReader, UnitedVocab, CORALDataset, my_collate, key_lib
import pdb
import os
import json
import torch
class Session():
def __init__(self, dataset,
mod... | 38.358333 | 142 | 0.582663 | 543 | 4,603 | 4.637201 | 0.198895 | 0.030977 | 0.056791 | 0.035743 | 0.262907 | 0.245433 | 0.245433 | 0.235107 | 0.235107 | 0.235107 | 0 | 0.016999 | 0.335433 | 4,603 | 120 | 143 | 38.358333 | 0.806146 | 0.000652 | 0 | 0.021053 | 0 | 0 | 0.03893 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021053 | false | 0.010526 | 0.094737 | 0 | 0.126316 | 0.115789 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4d9a9c56221ae7e0e31c377fd09796258aef2bc | 532 | py | Python | tutorials/conversational_search/Tutorial6_Binary_Passage_Retriever.py | giguru/converse | bfe5ccc0af50455074abf7926a31145ac96834a5 | [
"Apache-2.0"
] | 9 | 2020-10-23T14:39:45.000Z | 2021-11-16T10:37:11.000Z | tutorials/conversational_search/Tutorial6_Binary_Passage_Retriever.py | giguru/converse | bfe5ccc0af50455074abf7926a31145ac96834a5 | [
"Apache-2.0"
] | 12 | 2020-10-07T08:07:51.000Z | 2020-10-22T14:20:19.000Z | tutorials/conversational_search/Tutorial6_Binary_Passage_Retriever.py | giguru/converse | bfe5ccc0af50455074abf7926a31145ac96834a5 | [
"Apache-2.0"
] | null | null | null | from haystack import Pipeline
from haystack.retriever.anserini import DenseAnseriniRetriever
# LOAD COMPONENTS
retriever = DenseAnseriniRetriever(prebuilt_index_name="wikipedia-bpr-single-nq-hash",
binary=True,
query_encoder="castorini/bpr-nq-questi... | 31.294118 | 86 | 0.682331 | 60 | 532 | 5.983333 | 0.666667 | 0.066852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.208647 | 532 | 17 | 87 | 31.294118 | 0.852732 | 0.078947 | 0 | 0 | 0 | 0 | 0.221766 | 0.125257 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4da6f2e214530239d7254ffdc625a7c298a5b02 | 854 | py | Python | ros_system_ws/src/vector79/scripts/voltage_monitor.py | DrClick/ARCRacing | 4428a244c5a4627f4550eba066657b5a87ff0602 | [
"MIT"
] | 7 | 2016-12-15T22:24:04.000Z | 2018-12-27T05:48:45.000Z | ros_system_ws/src/vector79/scripts/voltage_monitor.py | DrClick/ARCRacing | 4428a244c5a4627f4550eba066657b5a87ff0602 | [
"MIT"
] | null | null | null | ros_system_ws/src/vector79/scripts/voltage_monitor.py | DrClick/ARCRacing | 4428a244c5a4627f4550eba066657b5a87ff0602 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import String, Float32
import time
import subprocess
def voltage_monitor():
rospy.init_node('voltage_monitor')
info_pub = rospy.Publisher('bus_comm', String, queue_size=1)
voltage_pub = rospy.Publisher('voltage', Float32, queue_size=1)
while True:... | 27.548387 | 124 | 0.661593 | 113 | 854 | 4.743363 | 0.557522 | 0.078358 | 0.063433 | 0.063433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033824 | 0.203747 | 854 | 30 | 125 | 28.466667 | 0.754412 | 0.023419 | 0 | 0.095238 | 0 | 0 | 0.148014 | 0.067389 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.190476 | 0 | 0.238095 | 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 |
e4de733e5c0ae2e4678e9cda8d9bbc096dd360a5 | 594 | py | Python | server/grpc/pyserver.py | Panthereum/DigitalBeing | 7fda011f34dd62c03d1072035ae0ad2a129281a7 | [
"MIT"
] | 53 | 2021-07-20T04:01:57.000Z | 2022-03-13T17:31:08.000Z | server/grpc/pyserver.py | Panthereum/DigitalBeing | 7fda011f34dd62c03d1072035ae0ad2a129281a7 | [
"MIT"
] | 58 | 2021-08-20T02:22:16.000Z | 2021-12-13T10:38:58.000Z | server/grpc/pyserver.py | Panthereum/DigitalBeing | 7fda011f34dd62c03d1072035ae0ad2a129281a7 | [
"MIT"
] | 13 | 2021-08-23T20:16:14.000Z | 2022-01-31T23:59:21.000Z | import logging
import time
# import the original example.py
from handler import DigitalBeing as DB
logger = logging.getLogger('server_logger')
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
fh = logging.FileHandler('grpc_server.log')
fh.setLevel(logging.DEBUG)
logger.addHandler(f... | 22.846154 | 61 | 0.754209 | 79 | 594 | 5.556962 | 0.632911 | 0.068337 | 0.091116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013972 | 0.156566 | 594 | 26 | 62 | 22.846154 | 0.862275 | 0.355219 | 0 | 0 | 0 | 0 | 0.074271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.357143 | 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 |
e4debd4280513f51ffae81a74e479547f07c0088 | 2,679 | py | Python | app/tg/routes.py | EeOneDown/spbu4u | 2ad01088fb167c80c53b757a0247fc5cde34c20f | [
"Apache-2.0"
] | 30 | 2017-09-14T20:25:43.000Z | 2022-03-12T09:55:35.000Z | app/tg/routes.py | EeOneDown/spbu4u | 2ad01088fb167c80c53b757a0247fc5cde34c20f | [
"Apache-2.0"
] | 59 | 2018-01-12T18:29:24.000Z | 2019-03-08T21:08:40.000Z | app/tg/routes.py | EeOneDown/spbu4u | 2ad01088fb167c80c53b757a0247fc5cde34c20f | [
"Apache-2.0"
] | 8 | 2017-12-01T18:36:04.000Z | 2020-11-22T00:36:15.000Z | import logging
from json import loads
from time import time
from flask import request, abort
from telebot.apihelper import ApiException
from telebot.types import Update
from app import db, new_functions as nf
from app.constants import (
webhook_url_base, webhook_url_path, ids, other_error_answer
)
from app.models... | 28.806452 | 75 | 0.591639 | 333 | 2,679 | 4.564565 | 0.348348 | 0.051316 | 0.076974 | 0.0625 | 0.280921 | 0.176316 | 0.107895 | 0.107895 | 0.107895 | 0.107895 | 0 | 0.008588 | 0.304591 | 2,679 | 92 | 76 | 29.119565 | 0.8073 | 0.014184 | 0 | 0.2375 | 0 | 0 | 0.069723 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1375 | 0 | 0.225 | 0.0125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4df95cc2cdc1f1463a8b2b8946b91a69dbe5207 | 7,391 | py | Python | prysm/segmented.py | deisenroth/prysm | 53a400ef89697041f67192e879e61ad28c451318 | [
"MIT"
] | 110 | 2017-09-28T05:24:22.000Z | 2022-03-17T17:34:08.000Z | prysm/segmented.py | mjhoptics/prysm | 5dea335e068d04d1006741d8eb02278181751f73 | [
"MIT"
] | 82 | 2018-01-03T03:52:42.000Z | 2022-02-02T02:30:19.000Z | prysm/segmented.py | mjhoptics/prysm | 5dea335e068d04d1006741d8eb02278181751f73 | [
"MIT"
] | 28 | 2017-12-28T02:47:55.000Z | 2022-03-29T02:10:11.000Z | """Tools for working with segmented systems."""
from collections import namedtuple
import numpy as truenp
from .geometry import regular_polygon
from .mathops import np
Hex = namedtuple('Hex', ['q', 'r', 's'])
def add_hex(h1, h2):
"""Add two hex coordinates together."""
q = h1.q + h2.q
r = h1.r + h2.r
... | 32.134783 | 117 | 0.613043 | 1,115 | 7,391 | 3.912108 | 0.232287 | 0.022925 | 0.029803 | 0.017194 | 0.222834 | 0.146722 | 0.120816 | 0.107978 | 0.092847 | 0.092847 | 0 | 0.02385 | 0.279529 | 7,391 | 229 | 118 | 32.275109 | 0.795305 | 0.278717 | 0 | 0.022556 | 0 | 0 | 0.016116 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082707 | false | 0 | 0.030075 | 0 | 0.195489 | 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 |
e4dfb95f04467bee0420411aa09bbdd150a3b575 | 1,156 | py | Python | Projects/multiple_args_curvefit/python/src/model.py | basavyr/curve-fitting | 0c7f93b7764d9ddc3e2860e5f20d21bf30256f58 | [
"MIT"
] | null | null | null | Projects/multiple_args_curvefit/python/src/model.py | basavyr/curve-fitting | 0c7f93b7764d9ddc3e2860e5f20d21bf30256f58 | [
"MIT"
] | null | null | null | Projects/multiple_args_curvefit/python/src/model.py | basavyr/curve-fitting | 0c7f93b7764d9ddc3e2860e5f20d21bf30256f58 | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import curve_fit
import random as rd
import plotter
def model_function(X, a, b, c):
"""
- the analytical expression for the model that aims at describing the experimental data
- the X argument is an array of tuples of the form X=... | 23.12 | 91 | 0.624567 | 201 | 1,156 | 3.363184 | 0.393035 | 0.066568 | 0.057692 | 0.065089 | 0.053254 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043628 | 0.24654 | 1,156 | 49 | 92 | 23.591837 | 0.732491 | 0.141003 | 0 | 0 | 0 | 0 | 0.008222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.178571 | 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 |
e4e259912dc8fab0fc123e2bde02cc765fe32ec1 | 3,740 | py | Python | src/text_computation/computeCorrs.py | levon003/wiki-ores-feedback | 29e7f1a41b16a7c57448d5bbc5801653debbc115 | [
"MIT"
] | 2 | 2022-03-27T19:24:30.000Z | 2022-03-29T16:15:31.000Z | src/text_computation/computeCorrs.py | levon003/wiki-ores-feedback | 29e7f1a41b16a7c57448d5bbc5801653debbc115 | [
"MIT"
] | 1 | 2021-04-23T21:03:45.000Z | 2021-04-23T21:03:45.000Z | src/text_computation/computeCorrs.py | levon003/wiki-ores-feedback | 29e7f1a41b16a7c57448d5bbc5801653debbc115 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Simple script to compute correlations for inserted and removed tokens
import numpy as np
import pandas as pd
from tqdm import tqdm
import os
import sqlite3
from datetime import datetime
import scipy.stats
import scipy.sparse
def create_array(token_index, db, total=9584147):
token_indicat... | 46.17284 | 191 | 0.699465 | 542 | 3,740 | 4.51107 | 0.273063 | 0.055215 | 0.074438 | 0.02454 | 0.391411 | 0.343558 | 0.265849 | 0.222495 | 0.198773 | 0.198773 | 0 | 0.02053 | 0.192513 | 3,740 | 80 | 192 | 46.75 | 0.789073 | 0.024332 | 0 | 0 | 0 | 0 | 0.186729 | 0.094598 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.125 | 0 | 0.171875 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e4efdb84b5f54430d099fe1b59a9b2291a76ef7a | 1,400 | py | Python | cidc_utils/caching/credential_cache.py | CIMAC-CIDC/cidc-utils | 2f2cf82007a3a67971293752e1dc168a7aad10e3 | [
"MIT"
] | null | null | null | cidc_utils/caching/credential_cache.py | CIMAC-CIDC/cidc-utils | 2f2cf82007a3a67971293752e1dc168a7aad10e3 | [
"MIT"
] | null | null | null | cidc_utils/caching/credential_cache.py | CIMAC-CIDC/cidc-utils | 2f2cf82007a3a67971293752e1dc168a7aad10e3 | [
"MIT"
] | null | null | null | """
Defines caching before for user preferences
"""
import jwt
import time
from cachetools import TTLCache
from typing import Optional
class CredentialCache(TTLCache):
"""
Subclass of TTLCache that temporarily stores and retreives user login credentials
Arguments:
TTLCache {TTLCache} -- A TTLCac... | 27.45098 | 102 | 0.534286 | 146 | 1,400 | 5.054795 | 0.479452 | 0.134146 | 0.142276 | 0.054201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.379286 | 1,400 | 50 | 103 | 28 | 0.849252 | 0.24 | 0 | 0.083333 | 0 | 0 | 0.212876 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.416667 | 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 |
e4fbf9c4787bd6c823e79265ebbbdf508f8294f4 | 4,200 | py | Python | src/openclimategis/util/ncconv/experimental/ocg_converter/csv_.py | Peshal1067/OpenClimateGIS | 297db6ae1f6dd8459ede6bed905c8d85bd93c5d6 | [
"BSD-3-Clause"
] | 3 | 2015-04-23T09:09:04.000Z | 2020-02-26T17:40:19.000Z | src/openclimategis/util/ncconv/experimental/ocg_converter/csv_.py | arthur-e/OpenClimateGIS | 297db6ae1f6dd8459ede6bed905c8d85bd93c5d6 | [
"BSD-3-Clause"
] | null | null | null | src/openclimategis/util/ncconv/experimental/ocg_converter/csv_.py | arthur-e/OpenClimateGIS | 297db6ae1f6dd8459ede6bed905c8d85bd93c5d6 | [
"BSD-3-Clause"
] | 2 | 2017-05-30T10:27:36.000Z | 2020-11-09T13:52:58.000Z | import io
import zipfile
import csv
from util.ncconv.experimental.ocg_converter.subocg_converter import SubOcgConverter
class CsvConverter(SubOcgConverter):
# __headers__ = ['OCGID','GID','TIME','LEVEL','VALUE','AREA_M2','WKT','WKB']
def __init__(self,*args,**kwds):
self.as_wkt = kwds.pop('as_wkt'... | 37.837838 | 97 | 0.553095 | 492 | 4,200 | 4.534553 | 0.247967 | 0.039444 | 0.019722 | 0.028238 | 0.231286 | 0.195876 | 0.15688 | 0.15688 | 0.086957 | 0.086957 | 0 | 0.004759 | 0.299524 | 4,200 | 111 | 98 | 37.837838 | 0.753569 | 0.358095 | 0 | 0.112903 | 0 | 0 | 0.047493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.064516 | 0 | 0.177419 | 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 |
9003b0f6d049c9acbb898890fc3e7195ecd16b28 | 1,634 | py | Python | arcade/gui/examples/anchor_widgets.py | akapkotel/arcade | 6e43ec53e7bfa3dee1aa574404794e3695aad381 | [
"MIT"
] | null | null | null | arcade/gui/examples/anchor_widgets.py | akapkotel/arcade | 6e43ec53e7bfa3dee1aa574404794e3695aad381 | [
"MIT"
] | 1 | 2022-03-21T06:24:29.000Z | 2022-03-21T06:24:29.000Z | arcade/gui/examples/anchor_widgets.py | Ibrahim2750mi/arcade | bf3229e64117931bffb8e50926a996a7a8fc9b8b | [
"MIT"
] | null | null | null | """
Example shows how to use UIAnchorWidget to position widgets on screen.
Dummy widgets indicate hovered, pressed and clicked.
"""
import arcade
from arcade.gui import UIManager
from arcade.gui.widgets import UIDummy
from arcade.gui.widgets.layout import UIAnchorLayout
class UIMockup(arcade.Window):
def __init_... | 24.38806 | 70 | 0.570991 | 184 | 1,634 | 4.891304 | 0.353261 | 0.085556 | 0.124444 | 0.14 | 0.361111 | 0.361111 | 0.322222 | 0.24 | 0.24 | 0.24 | 0 | 0.010743 | 0.316401 | 1,634 | 66 | 71 | 24.757576 | 0.794987 | 0.075275 | 0 | 0.387755 | 0 | 0 | 0.054558 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040816 | false | 0 | 0.081633 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90041b2eae192a57fb04bf6a09bec2f9aae7dce1 | 3,897 | py | Python | tools/e2e_inference.py | nanit/deep-high-resolution-net.pytorch | 17226df8effda518c47355e85f4733638c20297a | [
"MIT"
] | null | null | null | tools/e2e_inference.py | nanit/deep-high-resolution-net.pytorch | 17226df8effda518c47355e85f4733638c20297a | [
"MIT"
] | 2 | 2021-09-23T12:59:27.000Z | 2021-11-01T12:21:51.000Z | tools/e2e_inference.py | nanit/deep-high-resolution-net.pytorch | 17226df8effda518c47355e85f4733638c20297a | [
"MIT"
] | null | null | null | import os
import glob
import pickle
import sys
import tensorflow as tf
from numba import cuda
from python_tools.OSUtils import ensure_dir
from offline_predict import get_boxes_from_detection_predictions_data, convert_boxes_to_bboxes, predict_on_image_list, load_skeleton_model
DETECTION_RESEARCH_FOLDER = os.path.expand... | 45.847059 | 138 | 0.744419 | 483 | 3,897 | 5.569358 | 0.271222 | 0.111524 | 0.036431 | 0.039033 | 0.271004 | 0.240149 | 0.139777 | 0.055019 | 0 | 0 | 0 | 0.00342 | 0.17475 | 3,897 | 84 | 139 | 46.392857 | 0.833022 | 0.020272 | 0 | 0 | 0 | 0 | 0.155865 | 0.101023 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.145161 | 0 | 0.225806 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9007054fb0674671d547ac9d0adee85e1c24f33c | 1,234 | py | Python | analytics/extract/bare/funds-explorer/scrap_ranking.py | vicmattos/data-invest | 4318a33117583bf492b45c69c957fd0ea2c455e1 | [
"MIT"
] | null | null | null | analytics/extract/bare/funds-explorer/scrap_ranking.py | vicmattos/data-invest | 4318a33117583bf492b45c69c957fd0ea2c455e1 | [
"MIT"
] | null | null | null | analytics/extract/bare/funds-explorer/scrap_ranking.py | vicmattos/data-invest | 4318a33117583bf492b45c69c957fd0ea2c455e1 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import csv
import time
from datetime import datetime
import requests
from bs4 import BeautifulSoup
url = 'https://www.fundsexplorer.com.br/ranking'
# Data Cleansing
# 'R$' => ''
# '%' => ''
# '.0' => ''
# '.' => ''
# ',' => '.'
# 'N/A' => ''
print("Starting...{}".format(datetime.now())... | 20.915254 | 147 | 0.627229 | 177 | 1,234 | 4.299435 | 0.435028 | 0.036794 | 0.04205 | 0.031537 | 0.204993 | 0.204993 | 0.204993 | 0.204993 | 0.204993 | 0.204993 | 0 | 0.003784 | 0.143436 | 1,234 | 58 | 148 | 21.275862 | 0.716178 | 0.077796 | 0 | 0.125 | 0 | 0 | 0.117699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.1875 | 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 |
9009e3424db2d10a8ac51689c842cea2498a6040 | 14,546 | py | Python | stentseg/apps/_3DPointSelector.py | almarklein/stentseg | 48255fffdc2394d1dc4ce2208c9a91e1d4c35a46 | [
"BSD-3-Clause"
] | 1 | 2020-08-28T16:34:10.000Z | 2020-08-28T16:34:10.000Z | stentseg/apps/_3DPointSelector.py | almarklein/stentseg | 48255fffdc2394d1dc4ce2208c9a91e1d4c35a46 | [
"BSD-3-Clause"
] | null | null | null | stentseg/apps/_3DPointSelector.py | almarklein/stentseg | 48255fffdc2394d1dc4ce2208c9a91e1d4c35a46 | [
"BSD-3-Clause"
] | 1 | 2021-04-25T06:59:36.000Z | 2021-04-25T06:59:36.000Z | """ Module 3D Point Selector
Provides functionality view slices and to select points in multiplanar reconstructions.
"""
import os, time, sys
import numpy as np
import visvis as vv
from visvis.utils.pypoints import Point, Pointset, Aarray
import OpenGL.GL as gl
import OpenGL.GLU as glu
class VolViewer:
... | 36.732323 | 110 | 0.564691 | 1,735 | 14,546 | 4.639769 | 0.192507 | 0.016522 | 0.01677 | 0.017888 | 0.257267 | 0.178137 | 0.157516 | 0.136894 | 0.136894 | 0.096398 | 0 | 0.034052 | 0.323663 | 14,546 | 395 | 111 | 36.825316 | 0.784204 | 0.120033 | 0 | 0.173432 | 0 | 0 | 0.01731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066421 | false | 0 | 0.02214 | 0.00369 | 0.121771 | 0.01476 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |