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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27af82c734c9c172d86f1e925df82c41889d2af8 | 5,388 | py | Python | main.py | GuruOfPython/Python-Tkinter-GUI | de17e819cc6008274077d8347d722e779cb9166b | [
"MIT"
] | null | null | null | main.py | GuruOfPython/Python-Tkinter-GUI | de17e819cc6008274077d8347d722e779cb9166b | [
"MIT"
] | null | null | null | main.py | GuruOfPython/Python-Tkinter-GUI | de17e819cc6008274077d8347d722e779cb9166b | [
"MIT"
] | null | null | null | # from binary_tree import *
#
# root = Node(8)
#
# root.insert(3)
# root.insert(10)
# root.insert(1)
# root.insert(6)
# root.insert(4)
# root.insert(7)
# root.insert(14)
# root.insert(13)
# node, parent = root.lookup(6)
# print(node, parent)
# root.print_tree()
#
# root.delete(10)
#
# root.print_tree()
import tkinter... | 32.853659 | 103 | 0.615256 | 4,669 | 0.866555 | 0 | 0 | 0 | 0 | 0 | 0 | 1,484 | 0.275427 |
27b12ffdc16386ed1ffaa3ad7820397e93894fcc | 4,634 | py | Python | cbagent/collectors/sgimport_latency.py | sharujayaram/perfrunner | 8fe8ff42a5c74c274b569ba2c45cd43b320f48eb | [
"Apache-2.0"
] | null | null | null | cbagent/collectors/sgimport_latency.py | sharujayaram/perfrunner | 8fe8ff42a5c74c274b569ba2c45cd43b320f48eb | [
"Apache-2.0"
] | null | null | null | cbagent/collectors/sgimport_latency.py | sharujayaram/perfrunner | 8fe8ff42a5c74c274b569ba2c45cd43b320f48eb | [
"Apache-2.0"
] | 1 | 2019-05-20T13:44:29.000Z | 2019-05-20T13:44:29.000Z | import requests
import json
from concurrent.futures import ProcessPoolExecutor as Executor
from concurrent.futures import ThreadPoolExecutor
from time import sleep, time
from couchbase.bucket import Bucket
from cbagent.collectors import Latency, Collector
from logger import logger
from perfrunner.helpers.misc impor... | 30.486842 | 95 | 0.594087 | 3,691 | 0.796504 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.092792 |
27b2e2a025ad448d149dbcc0d2fb399829c3c2bf | 370 | py | Python | clean_junos_routes.py | JNPRAutomate/event_driven_automation_with_a_TIG_stack | 4e2cebdec4dc8d681d71374a7c342f016b8b649e | [
"MIT"
] | 4 | 2019-08-23T10:55:48.000Z | 2021-06-24T01:00:12.000Z | clean_junos_routes.py | JNPRAutomate/event_driven_automation_with_a_TIG_stack | 4e2cebdec4dc8d681d71374a7c342f016b8b649e | [
"MIT"
] | null | null | null | clean_junos_routes.py | JNPRAutomate/event_driven_automation_with_a_TIG_stack | 4e2cebdec4dc8d681d71374a7c342f016b8b649e | [
"MIT"
] | 5 | 2019-03-25T11:12:00.000Z | 2021-12-23T03:01:14.000Z | from jnpr.junos import Device
from jnpr.junos.utils.config import Config
def clean_routing_table():
device=Device (host='100.123.1.3', user='jcluser', password='Juniper!1')
device.open()
cfg=Config(device, mode='private')
cfg.load(path='junos_configuration/clean_routes.conf', format='text')
cfg.com... | 24.666667 | 76 | 0.716216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.235135 |
27b4b4442e8234ce781c98d6ea27cb6fba57c3a9 | 5,000 | py | Python | Tools/renew-navi-npc.py | vakhet/ragnarok-navigation | df7d3ff95a9bd1c0497744113ad664a31d248de6 | [
"MIT"
] | 3 | 2017-12-02T16:40:32.000Z | 2020-02-11T17:44:02.000Z | Tools/renew-navi-npc.py | vakhet/ragnarok-navigation | df7d3ff95a9bd1c0497744113ad664a31d248de6 | [
"MIT"
] | null | null | null | Tools/renew-navi-npc.py | vakhet/ragnarok-navigation | df7d3ff95a9bd1c0497744113ad664a31d248de6 | [
"MIT"
] | null | null | null | """
Author : vakhet at gmail.com
This script gets all your NPC names from the original rAthena folder
and updates their lines in navi_npc_krpri.lub
wherever matches the map_name and coords
"""
import re
import os
import random
import sqlite3
NPC_match = r'^[\w\d_]+,\d+,\d+,\d+\tscript\t[\w\d_ -]+#*[... | 28.571429 | 82 | 0.523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,870 | 0.374 |
27b65665bc694cadf63afa04994bea99c68ab2c9 | 85 | py | Python | rpicarserver/backlight/__init__.py | krixian/rpi-car-server | 8058bec91462b5f2645119de898779d4bf292a84 | [
"MIT"
] | null | null | null | rpicarserver/backlight/__init__.py | krixian/rpi-car-server | 8058bec91462b5f2645119de898779d4bf292a84 | [
"MIT"
] | null | null | null | rpicarserver/backlight/__init__.py | krixian/rpi-car-server | 8058bec91462b5f2645119de898779d4bf292a84 | [
"MIT"
] | null | null | null | from rpicarserver import ext
class Extension(ext.Extension):
name = "backlight"
| 17 | 31 | 0.752941 | 54 | 0.635294 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.129412 |
27b801a71ed41ab9ae80dc219943a39cdead01b2 | 712 | py | Python | tests/components/rtsp_to_webrtc/test_diagnostics.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | tests/components/rtsp_to_webrtc/test_diagnostics.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 24,710 | 2016-04-13T08:27:26.000Z | 2020-03-02T12:59:13.000Z | tests/components/rtsp_to_webrtc/test_diagnostics.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Test nest diagnostics."""
from typing import Any
from .conftest import ComponentSetup
from tests.common import MockConfigEntry
from tests.components.diagnostics import get_diagnostics_for_config_entry
THERMOSTAT_TYPE = "sdm.devices.types.THERMOSTAT"
async def test_entry_diagnostics(
hass,
hass_client,
... | 25.428571 | 87 | 0.716292 | 0 | 0 | 0 | 0 | 0 | 0 | 452 | 0.634831 | 156 | 0.219101 |
27b8c7ca0cbfe891ed4189a0d771be178c3ebb62 | 556 | py | Python | Modulo_5/semana_3/pandas/pd.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | null | null | null | Modulo_5/semana_3/pandas/pd.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | null | null | null | Modulo_5/semana_3/pandas/pd.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | 1 | 2022-03-04T00:57:18.000Z | 2022-03-04T00:57:18.000Z | import pandas as pd
import numpy as np
df = pd.read_csv('poblacion.csv')
pd.options.display.float_format = '{:,.1f}'.format
df = pd.read_csv('poblacion.csv')
df['year'] = pd.Categorical(df['year'].apply(str))
idx_filtro = df['Country'].isin(['Mexico','Panama'])
df_filtro_country = df[idx_filtro]
df_filtro_country =df... | 30.888889 | 102 | 0.733813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.239209 |
27b8f98dbc5944c52c7fdf99ecb0474a2db0ffed | 3,477 | py | Python | reachweb/models.py | kamauvick/ReachOutDash | ceb7da731982bc9d1b1bb4185f34822b4dcf6526 | [
"MIT"
] | null | null | null | reachweb/models.py | kamauvick/ReachOutDash | ceb7da731982bc9d1b1bb4185f34822b4dcf6526 | [
"MIT"
] | 9 | 2020-02-12T02:44:31.000Z | 2022-03-12T00:03:57.000Z | reachweb/models.py | kamauvick/ReachOutDash | ceb7da731982bc9d1b1bb4185f34822b4dcf6526 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
class Chv(models.Model):
name = models.OneToOneField(User, on_delete=models.PROTECT, related_name='profile')
age = models.IntegerField()
phonenumber = models.CharField(max_length=255)
profile_picture = models.ImageField(upload_to... | 30.5 | 98 | 0.632442 | 3,392 | 0.975554 | 0 | 0 | 416 | 0.119643 | 0 | 0 | 950 | 0.273224 |
27bb547681e27f63805f0e3f2bcfba62a6d181f3 | 4,876 | py | Python | distances/symmetric_amd_distance.py | npielawski/py_alpha_amd_release | 6fb5b3cdef65ba8902daea050785dd73970002c2 | [
"MIT"
] | 14 | 2019-02-12T20:30:23.000Z | 2021-11-04T01:10:34.000Z | distances/symmetric_amd_distance.py | npielawski/py_alpha_amd_release | 6fb5b3cdef65ba8902daea050785dd73970002c2 | [
"MIT"
] | 2 | 2021-05-12T05:02:59.000Z | 2021-10-11T14:40:10.000Z | distances/symmetric_amd_distance.py | npielawski/py_alpha_amd_release | 6fb5b3cdef65ba8902daea050785dd73970002c2 | [
"MIT"
] | 7 | 2019-02-20T12:19:28.000Z | 2021-02-09T10:12:06.000Z |
#
# Py-Alpha-AMD Registration Framework
# Author: Johan Ofverstedt
# Reference: Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
#
# Copyright 2019 Johan Ofverstedt
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this softwa... | 41.322034 | 179 | 0.689295 | 3,502 | 0.718212 | 0 | 0 | 0 | 0 | 0 | 0 | 1,467 | 0.300861 |
27bbbbc489c4d13faa511e2c2877df5e0ce8a2dd | 431 | py | Python | shop/migrations/0005_product_discounted_price.py | RitvikDayal/The-Stone-Shop | fed85d5ebb993fb1ce235f5e8a8ebc06a76fb956 | [
"MIT"
] | 2 | 2020-08-27T21:02:54.000Z | 2020-08-27T21:03:44.000Z | shop/migrations/0005_product_discounted_price.py | RitvikDayal/The-Stone-Shop | fed85d5ebb993fb1ce235f5e8a8ebc06a76fb956 | [
"MIT"
] | null | null | null | shop/migrations/0005_product_discounted_price.py | RitvikDayal/The-Stone-Shop | fed85d5ebb993fb1ce235f5e8a8ebc06a76fb956 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-07-28 12:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shop', '0004_product_product_image'),
]
operations = [
migrations.AddField(
model_name='product',
name='discounted_p... | 21.55 | 50 | 0.605568 | 338 | 0.784223 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.25058 |
27bc982db629d22f64003fb61afd5dee8511c5de | 131 | py | Python | tudo/ex060b.py | Ramon-Erik/Exercicios-Python | 158a7f1846dd3d486aa0517fa337d46d73aab649 | [
"MIT"
] | 1 | 2021-07-08T00:35:57.000Z | 2021-07-08T00:35:57.000Z | tudo/ex060b.py | Ramon-Erik/Exercicios-Python | 158a7f1846dd3d486aa0517fa337d46d73aab649 | [
"MIT"
] | null | null | null | tudo/ex060b.py | Ramon-Erik/Exercicios-Python | 158a7f1846dd3d486aa0517fa337d46d73aab649 | [
"MIT"
] | null | null | null | from math import factorial
n = int(input('Digite um número, para obter seu fatorial: '))
print('{}! é {}'.format(n, factorial(n)))
| 32.75 | 61 | 0.679389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.428571 |
27bd073801f417f0a990ea8f8617bbc868baa23e | 157 | py | Python | setup.py | messa/bloom | ce975471d0fabac436bcbd3040d22c6e5a97e47c | [
"MIT"
] | 1 | 2021-03-14T13:54:42.000Z | 2021-03-14T13:54:42.000Z | setup.py | messa/bloom | ce975471d0fabac436bcbd3040d22c6e5a97e47c | [
"MIT"
] | 1 | 2021-03-15T09:02:24.000Z | 2021-03-16T07:41:46.000Z | setup.py | messa/bloom | ce975471d0fabac436bcbd3040d22c6e5a97e47c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from setuptools import setup, Extension
setup(
ext_modules=[
Extension('bloom._hashc', ['bloom/_hashcmodule.c'])
])
| 17.444444 | 59 | 0.66242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.369427 |
27be070f86ae724315deda03de85e57e9b0b008d | 5,645 | py | Python | misc/util.py | winder/indexer | 18f48f026f022cdeef92dcac558d3900d6ea798d | [
"MIT"
] | 87 | 2020-08-20T19:14:02.000Z | 2022-03-30T21:31:59.000Z | misc/util.py | hassoon1986/indexer | 0a58e9a78ba7684c7f4cfb4fe7cb24b3d4622d9b | [
"MIT"
] | 615 | 2020-06-03T14:13:29.000Z | 2022-03-31T12:08:38.000Z | misc/util.py | hassoon1986/indexer | 0a58e9a78ba7684c7f4cfb4fe7cb24b3d4622d9b | [
"MIT"
] | 58 | 2020-06-03T21:33:48.000Z | 2022-03-26T15:39:50.000Z | #!/usr/bin/env python3
import atexit
import logging
import os
import random
import subprocess
import sys
import time
import msgpack
logger = logging.getLogger(__name__)
def maybedecode(x):
if hasattr(x, 'decode'):
return x.decode()
return x
def mloads(x):
return msgpack.loads(x, strict_map_key... | 34.845679 | 107 | 0.589725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,055 | 0.186891 |
27c0f66f70a59c9a16bcacfd772c973fa3bad2e9 | 11,093 | py | Python | coconut/_pyparsing.py | evhub/coconut | 27a4af9dc06667870f736f20c862930001b8cbb2 | [
"Apache-2.0"
] | 3,624 | 2015-02-22T07:06:18.000Z | 2022-03-31T03:38:00.000Z | coconut/_pyparsing.py | evhub/coconut | 27a4af9dc06667870f736f20c862930001b8cbb2 | [
"Apache-2.0"
] | 627 | 2015-03-31T01:18:53.000Z | 2022-03-28T07:48:31.000Z | coconut/_pyparsing.py | evhub/coconut | 27a4af9dc06667870f736f20c862930001b8cbb2 | [
"Apache-2.0"
] | 162 | 2016-03-02T05:22:55.000Z | 2022-03-31T23:42:55.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------------------------------------------------
# INFO:
# -----------------------------------------------------------------------------------------------------------------------
"""
Author: Evan Hub... | 35.554487 | 180 | 0.554945 | 40 | 0.003606 | 0 | 0 | 0 | 0 | 0 | 0 | 4,251 | 0.383215 |
27c1c2dd0bdd326bf942be3440f758392e7db45f | 4,948 | py | Python | tests/test_explicit_hll.py | aholyoke/python-hll | 30793aeb18103600fce0f3ad0b0c9e99e8b756fe | [
"MIT"
] | 13 | 2019-11-19T07:38:46.000Z | 2022-02-11T13:23:25.000Z | tests/test_explicit_hll.py | aholyoke/python-hll | 30793aeb18103600fce0f3ad0b0c9e99e8b756fe | [
"MIT"
] | 4 | 2019-12-12T04:19:34.000Z | 2021-06-09T17:52:52.000Z | tests/test_explicit_hll.py | aholyoke/python-hll | 30793aeb18103600fce0f3ad0b0c9e99e8b756fe | [
"MIT"
] | 6 | 2019-11-06T21:33:25.000Z | 2022-02-21T14:43:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import random
from python_hll.hlltype import HLLType
from python_hll.hll import HLL
from python_hll.serialization import SerializationUtil
"""Unit tests for BitVector."""
def test_add_basic():
"""
Tests basic set semantics of ``HLL.add_raw()``.
"""
# Ad... | 27.337017 | 89 | 0.653597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,669 | 0.337308 |
27c4d9ac4a8dbf1e90e1e11bbe903ce9523aee39 | 4,792 | py | Python | weixin/HelloMyDear.py | FantasyZsp/py-utils | 4ccebd298780508d58400d2d8967f59ca7c6603d | [
"Apache-2.0"
] | null | null | null | weixin/HelloMyDear.py | FantasyZsp/py-utils | 4ccebd298780508d58400d2d8967f59ca7c6603d | [
"Apache-2.0"
] | null | null | null | weixin/HelloMyDear.py | FantasyZsp/py-utils | 4ccebd298780508d58400d2d8967f59ca7c6603d | [
"Apache-2.0"
] | null | null | null | from weixin.utils.WeiXinUtils import *
# 5.主函数main()
def hello(wxNames, atHours, atMinutes, cityCode):
names = wxNames
hours = atHours
minutes = atMinutes
number = cityCode
g = getYMD()
g1 = get_iciba_everyday_chicken_soup()
# 天气接口的网站 number为城市编号
name = 'http://t.weather.sojson.com/ap... | 31.320261 | 97 | 0.47788 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,611 | 0.302365 |
27c607ecb317226ea26c46b6beec6b1d9d516ae8 | 7,892 | py | Python | Medicine-manag-django/pharma/views.py | DanielDDHM/my-projects-py | f6c3af7f6cd61c69234d25c956027e8c7e626470 | [
"MIT"
] | null | null | null | Medicine-manag-django/pharma/views.py | DanielDDHM/my-projects-py | f6c3af7f6cd61c69234d25c956027e8c7e626470 | [
"MIT"
] | null | null | null | Medicine-manag-django/pharma/views.py | DanielDDHM/my-projects-py | f6c3af7f6cd61c69234d25c956027e8c7e626470 | [
"MIT"
] | null | null | null | from .models import Dealer
from .models import Employee
from .models import Customer
from .models import Medicine
from .models import Purchase
from django.shortcuts import render
from django.db import IntegrityError
def home(request):
return render(request, 'pharma/index.html')
def dealerform(request):
dict... | 28.490975 | 61 | 0.637988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,244 | 0.157628 |
27c811e47a423871511471f8e6a47527924900eb | 202 | py | Python | resume/display/views.py | Varun789/Profile | 990818d233ac0279ef4d55641e1e284850bdbfb2 | [
"BSD-3-Clause"
] | null | null | null | resume/display/views.py | Varun789/Profile | 990818d233ac0279ef4d55641e1e284850bdbfb2 | [
"BSD-3-Clause"
] | null | null | null | resume/display/views.py | Varun789/Profile | 990818d233ac0279ef4d55641e1e284850bdbfb2 | [
"BSD-3-Clause"
] | null | null | null | from django.shortcuts import render
from .models import Profile
# Create your views here.
def home(request):
profile=Profile.objects
return render(request,'home.html',{'profile' : profile})
| 22.444444 | 60 | 0.737624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.222772 |
27c8bd46f163cd7e8d07a019d3a50bfc0ca3baa3 | 458 | py | Python | libStash/books/migrations/0023_auto_20210320_1241.py | Dev-Rem/libStash | a364e9997c1c91b09f5db8a004deb4df305fa8cf | [
"MIT"
] | null | null | null | libStash/books/migrations/0023_auto_20210320_1241.py | Dev-Rem/libStash | a364e9997c1c91b09f5db8a004deb4df305fa8cf | [
"MIT"
] | null | null | null | libStash/books/migrations/0023_auto_20210320_1241.py | Dev-Rem/libStash | a364e9997c1c91b09f5db8a004deb4df305fa8cf | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2021-03-20 12:41
import phone_field.models
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('books', '0022_auto_20210215_1053'),
]
operations = [
migrations.AlterField(
model_name='warehouse',
... | 22.9 | 104 | 0.637555 | 347 | 0.757642 | 0 | 0 | 0 | 0 | 0 | 0 | 111 | 0.242358 |
27c9faa515cbfcb516d2a78da11f8590793a0cac | 6,912 | py | Python | src/PyTorch2ONNX/PyTorch2ONNX_Run_in_ONNX_RUNTIME.py | Yulv-git/Model_Inference_Deployment | 623f9955dfb60fe7af9d17415bfec58fc4c86c1b | [
"MIT"
] | 4 | 2022-02-05T14:16:05.000Z | 2022-03-27T13:35:06.000Z | src/PyTorch2ONNX/PyTorch2ONNX_Run_in_ONNX_RUNTIME.py | Yulv-git/Model_Inference_Deployment | 623f9955dfb60fe7af9d17415bfec58fc4c86c1b | [
"MIT"
] | null | null | null | src/PyTorch2ONNX/PyTorch2ONNX_Run_in_ONNX_RUNTIME.py | Yulv-git/Model_Inference_Deployment | 623f9955dfb60fe7af9d17415bfec58fc4c86c1b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
'''
Author: Shuangchi He / Yulv
Email: yulvchi@qq.com
Date: 2022-01-28 14:21:09
Motto: Entities should not be multiplied unnecessarily.
LastEditors: Shuangchi He
LastEditTime: 2022-04-06 11:40:23
FilePath: /Model_Inference_Deployment/src/PyTorch2ONNX/PyTorch2ONNX_Run_in_ONNX_RUNTIME... | 41.638554 | 124 | 0.684172 | 1,053 | 0.1523 | 0 | 0 | 0 | 0 | 0 | 0 | 2,230 | 0.322534 |
27cc788dc3d49e45198c96fa1cec36fea676e304 | 2,085 | py | Python | scripts/dataset.py | MarcGroef/deeplearning | d1ef095fbe0f7e9b56017808d976efe7502e6b81 | [
"MIT"
] | null | null | null | scripts/dataset.py | MarcGroef/deeplearning | d1ef095fbe0f7e9b56017808d976efe7502e6b81 | [
"MIT"
] | null | null | null | scripts/dataset.py | MarcGroef/deeplearning | d1ef095fbe0f7e9b56017808d976efe7502e6b81 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
from sklearn.model_selection import StratifiedKFold
# Set dataset seed
np.random.seed(seed=842102)
class SingletonDecorator:
def __init__(self,klass):
self.klass = klass
self.instance = None
def __call__(self,*args,**kwds):
if self.instance ==... | 35.948276 | 130 | 0.659472 | 1,865 | 0.894484 | 0 | 0 | 1,621 | 0.777458 | 0 | 0 | 241 | 0.115588 |
27cf1141da0cf1cbeff01d7fcd33d6536ff17b4d | 1,962 | py | Python | src/python/utils/image.py | Lamzigit/manifold_learning | f699fe4f25dbabdbc2dc9635c4e654b59806e17d | [
"MIT"
] | 10 | 2017-06-14T08:04:44.000Z | 2021-07-06T07:13:16.000Z | src/python/utils/image.py | Lamzigit/manifold_learning | f699fe4f25dbabdbc2dc9635c4e654b59806e17d | [
"MIT"
] | 1 | 2020-11-18T13:08:43.000Z | 2020-11-18T13:12:39.000Z | src/python/utils/image.py | Lamzigit/manifold_learning | f699fe4f25dbabdbc2dc9635c4e654b59806e17d | [
"MIT"
] | 3 | 2017-06-14T08:04:53.000Z | 2019-11-18T13:21:15.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 15 14:03:52 2015
@author: jemanjohnson
"""
import numpy as np
import matplotlib.pyplot as plt
import os
import scipy.io
from sklearn import preprocessing
from time import time
from sklearn.preprocessing import MinMaxScaler
# Image Reshape Function
def img_as_array(img... | 25.480519 | 73 | 0.618756 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 955 | 0.486748 |
27cf8bbca13f1461fc47b01d2bfbcfa734035197 | 1,767 | py | Python | test/finsignia/gae/controllers.py | finsignia/finsignia-gae | e8cf6a3855cb2844a3a7e113f26b600bd952d371 | [
"MIT"
] | 1 | 2016-05-08T21:47:10.000Z | 2016-05-08T21:47:10.000Z | test/finsignia/gae/controllers.py | finsignia/finsignia-gae | e8cf6a3855cb2844a3a7e113f26b600bd952d371 | [
"MIT"
] | null | null | null | test/finsignia/gae/controllers.py | finsignia/finsignia-gae | e8cf6a3855cb2844a3a7e113f26b600bd952d371 | [
"MIT"
] | null | null | null | """
Tests for the finsignia.gae.controllers module.
"""
import os
import sys
from finsignia.gae import loader
import unittest
class ApplicationControllerTest(unittest.TestCase):
def setUp(self):
loader.load()
from finsignia.gae import controllers
class TestController(controllers.ApplicationController)... | 29.949153 | 97 | 0.730051 | 1,508 | 0.853424 | 0 | 0 | 0 | 0 | 0 | 0 | 359 | 0.203169 |
27d2e55ac297493daba610855afc860802f2e6c9 | 2,074 | py | Python | tests/test_visualize_poll.py | UBC-MDS/tweepypoll | 62ea4ea0ab381eecf8f24bd13da0a0cdfb18eaa6 | [
"MIT"
] | null | null | null | tests/test_visualize_poll.py | UBC-MDS/tweepypoll | 62ea4ea0ab381eecf8f24bd13da0a0cdfb18eaa6 | [
"MIT"
] | 30 | 2022-01-14T17:10:08.000Z | 2022-02-02T21:17:05.000Z | tests/test_visualize_poll.py | UBC-MDS/tweepypoll | 62ea4ea0ab381eecf8f24bd13da0a0cdfb18eaa6 | [
"MIT"
] | 1 | 2022-01-14T16:10:11.000Z | 2022-01-14T16:10:11.000Z | from tweepypoll.tweepypoll import visualize_poll
import pandas as pd
import altair as alt
def test_visualize_poll():
"""Test visualize_poll on a dictionary input"""
sample_poll_obj = [
{
"text": "Important research!!!",
"duration": 1440,
"date": "2022-01-22T04:01:0... | 35.152542 | 87 | 0.590646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 993 | 0.478785 |
27d3c4c2fd777115e15bd0efa78ebba378f85ab4 | 5,629 | py | Python | quilt/avahiservice.py | rossdylan/quilt | 463e3cfe419410b41ee6945ab96d51692d46b036 | [
"MIT"
] | 2 | 2015-07-23T03:49:42.000Z | 2015-11-05T18:49:53.000Z | quilt/avahiservice.py | rossdylan/quilt | 463e3cfe419410b41ee6945ab96d51692d46b036 | [
"MIT"
] | null | null | null | quilt/avahiservice.py | rossdylan/quilt | 463e3cfe419410b41ee6945ab96d51692d46b036 | [
"MIT"
] | null | null | null | """
Avahi Network Service Scripting
"""
import Queue
import threading
import avahi, dbus, gobject
from dbus import DBusException
from dbus.mainloop.glib import DBusGMainLoop
__all__ = ["QuiltAvahiServer", "QuiltAvahiClient"]
TYPE = '_quilt._tcp'
class QuiltAvahiNode(object):
""" Quilt Avahi Connection Nod... | 35.626582 | 105 | 0.551252 | 5,340 | 0.948659 | 0 | 0 | 0 | 0 | 0 | 0 | 2,460 | 0.437023 |
27d5437b9102d270c520f2be5bfb611ac3f22737 | 612 | py | Python | tests/test.py | Robert-96/altwalker-appium-example | 17bb3087d13fed62a4cb98ac0d25b7aa3b8a937d | [
"MIT"
] | null | null | null | tests/test.py | Robert-96/altwalker-appium-example | 17bb3087d13fed62a4cb98ac0d25b7aa3b8a937d | [
"MIT"
] | null | null | null | tests/test.py | Robert-96/altwalker-appium-example | 17bb3087d13fed62a4cb98ac0d25b7aa3b8a937d | [
"MIT"
] | null | null | null | from appium import webdriver
from .utils import PATH
desired_caps = dict(
platformName='Android',
platformVersion='10',
automationName='uiautomator2',
deviceName='Android Emulator',
app=PATH('app/ApiDemos-debug.apk.zip')
)
driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_caps)
... | 19.741935 | 73 | 0.668301 | 291 | 0.47549 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0.183007 |
27d5f9dbcf40cc145235b4fffe9387c62c414d60 | 6,161 | py | Python | tests/pte-onPrem-test-package/scripts/create_SCFile.py | gbl1124/hfrd | 327d7c1e18704d2e31a2649b40ae1d90353ebe24 | [
"Apache-2.0"
] | 5 | 2019-08-02T20:53:57.000Z | 2021-06-25T05:16:46.000Z | tests/pte-onPrem-test-package/scripts/create_SCFile.py | anandbanik/hfrd | 7bc1f13bfc9c7d902aec0363d27b089ef68c7eec | [
"Apache-2.0"
] | null | null | null | tests/pte-onPrem-test-package/scripts/create_SCFile.py | anandbanik/hfrd | 7bc1f13bfc9c7d902aec0363d27b089ef68c7eec | [
"Apache-2.0"
] | 14 | 2019-07-01T01:40:50.000Z | 2020-03-24T06:14:32.000Z | import json
import os
import argparse
HOME = os.environ['HOME']+'/results/'
parser = argparse.ArgumentParser(description="Python script generates the SCFiles using MSPIDs")
parser.add_argument("-m", "--mspids", nargs="+", required=True, help="1 or more MSPIDs")
parser.add_argument("-n", "--networkId", metavar='', req... | 50.917355 | 127 | 0.603636 | 5,715 | 0.927609 | 0 | 0 | 0 | 0 | 0 | 0 | 2,265 | 0.367635 |
27d6cff2a09a34968b82d0b674f282b1d2271a34 | 9,721 | py | Python | catalogue/forms.py | lh00257/superharris | cc8794ac6a63fa157ed6d0ef75f5089253ff987d | [
"MIT"
] | null | null | null | catalogue/forms.py | lh00257/superharris | cc8794ac6a63fa157ed6d0ef75f5089253ff987d | [
"MIT"
] | null | null | null | catalogue/forms.py | lh00257/superharris | cc8794ac6a63fa157ed6d0ef75f5089253ff987d | [
"MIT"
] | null | null | null | import re #Regular expression library
from django import forms
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExist
from django.template import RequestContext
from django.contrib.auth.forms import AuthenticationForm
from catalogue.models import Submitted
from models import... | 47.419512 | 110 | 0.632342 | 8,887 | 0.914206 | 0 | 0 | 0 | 0 | 0 | 0 | 2,926 | 0.300998 |
27d78b89ba7b997214a4c7166893ac8b3158ac3f | 38,343 | py | Python | sgan/models.py | peaceminusones/Group-GAN-GCN | ff0abf90bb830729d082d1fa46e41c749c738895 | [
"MIT"
] | 2 | 2021-05-25T09:10:15.000Z | 2021-09-25T07:53:35.000Z | sgan/models.py | peaceminusones/Group-GAN-GCN | ff0abf90bb830729d082d1fa46e41c749c738895 | [
"MIT"
] | null | null | null | sgan/models.py | peaceminusones/Group-GAN-GCN | ff0abf90bb830729d082d1fa46e41c749c738895 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def make_mlp(dim_list, activation='relu', batch_norm=True, dropout=0):
# make_mlp主要是构造多层的全连接网络，并且根据需求决定激活函数的类型，其参数dim_list是全连接网络各层维度的列表
layers = []
for dim_in, dim_out in zip(dim_list[:-1], dim_list[1:]):
layers.... | 38.652218 | 126 | 0.586235 | 31,389 | 0.802582 | 0 | 0 | 0 | 0 | 0 | 0 | 15,178 | 0.388085 |
27d7ec475999a81872908a78c697615fa5aa0984 | 4,258 | py | Python | netflow/mkipfixtypes/ipfixtypes.py | kohler/click-packages | cec70da7cf460548ef08f1ddad6924db29d5c0c5 | [
"MIT"
] | 13 | 2015-02-26T23:12:09.000Z | 2021-04-18T04:37:12.000Z | netflow/mkipfixtypes/ipfixtypes.py | kohoumas/click-packages | 6bb5c4ba286e5dbc74efd1708921d530425691f6 | [
"MIT"
] | null | null | null | netflow/mkipfixtypes/ipfixtypes.py | kohoumas/click-packages | 6bb5c4ba286e5dbc74efd1708921d530425691f6 | [
"MIT"
] | 7 | 2015-08-25T09:29:41.000Z | 2021-04-18T04:37:13.000Z | #!/usr/bin/python
#
# Generates ipfixtypes.hh from IPFIX spec and schema
#
# Copyright (c) 2006 Mazu Networks, Inc.
#
# $Id: ipfixtypes.py,v 1.1 2006/05/12 16:43:44 eddietwo Exp $
#
import xml.dom.minidom
import sys
import time
class IPFIXField:
"""
Represents a <field> element in the IPFIX specification. Acc... | 26.447205 | 106 | 0.625881 | 1,423 | 0.334194 | 0 | 0 | 0 | 0 | 0 | 0 | 1,846 | 0.433537 |
27d8e4bb5627f304929e5b7f3fa1b41d586d410e | 694 | py | Python | core_lib/web_helpers/constants_media_type.py | shubham-surya/core-lib | 543db80706746a937e5ed16bd50f2de8d58b32e4 | [
"MIT"
] | null | null | null | core_lib/web_helpers/constants_media_type.py | shubham-surya/core-lib | 543db80706746a937e5ed16bd50f2de8d58b32e4 | [
"MIT"
] | 9 | 2021-03-11T02:29:17.000Z | 2022-03-22T19:01:18.000Z | core_lib/web_helpers/constants_media_type.py | shubham-surya/core-lib | 543db80706746a937e5ed16bd50f2de8d58b32e4 | [
"MIT"
] | 2 | 2022-01-27T11:19:00.000Z | 2022-02-11T11:33:09.000Z | import enum
class MediaType(enum.Enum):
MEDIA_TYPE_WILDCARD = "*"
WILDCARD = "*/*"
APPLICATION_XML = "application/xml"
APPLICATION_ATOM_XML = "application/atom+xml"
APPLICATION_XHTML_XML = "application/xhtml+xml"
APPLICATION_SVG_XML = "application/svg+xml"
APPLICATION_JSON = "application/j... | 34.7 | 69 | 0.729107 | 679 | 0.978386 | 0 | 0 | 0 | 0 | 0 | 0 | 272 | 0.391931 |
27da1fb06b835a7c7c1c2845d17975f0ff1c9b74 | 2,940 | py | Python | pylons-emlo/emlo/workspace/indexing/src/conversionhelper.py | culturesofknowledge/emlo-server | 8a88ca98a5211086195793e4bed5960550638936 | [
"MIT"
] | null | null | null | pylons-emlo/emlo/workspace/indexing/src/conversionhelper.py | culturesofknowledge/emlo-server | 8a88ca98a5211086195793e4bed5960550638936 | [
"MIT"
] | null | null | null | pylons-emlo/emlo/workspace/indexing/src/conversionhelper.py | culturesofknowledge/emlo-server | 8a88ca98a5211086195793e4bed5960550638936 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on 24 Aug 2010
@author: Matthew Wilcoxson
functions convert from one value to another in the form:
def conversion(value):
#do something
return new_value
'''
import time
def convert_to_rdf_date(value):
date_check = value
# rdf uses format '1651-12-31T00:00:00... | 30 | 119 | 0.611905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,200 | 0.408163 |
27de194719485c100a81b84fd59429f4b32b78e0 | 992 | py | Python | modules/wxpy-index/wxpy_index/version.py | john04047210/mira_wepy_server | 385b8561e63f9164102e60681e2704c55fec0577 | [
"MIT"
] | 1 | 2018-05-22T11:25:59.000Z | 2018-05-22T11:25:59.000Z | modules/wxpy-index/wxpy_index/version.py | john04047210/mira_wepy_server | 385b8561e63f9164102e60681e2704c55fec0577 | [
"MIT"
] | null | null | null | modules/wxpy-index/wxpy_index/version.py | john04047210/mira_wepy_server | 385b8561e63f9164102e60681e2704c55fec0577 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2018 QiaoPeng.
#
# Invenio is free software; you can redistribute it
# and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any l... | 33.066667 | 72 | 0.746976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 899 | 0.90625 |
27dfaf52615924607a73e76ca9bec8a17c8c3880 | 11,305 | py | Python | estimate.py | DS3Lab/feebee | eb210d07a7f9956ca2d0681ccf446330c8427a8b | [
"Apache-2.0"
] | 1 | 2022-03-24T06:15:37.000Z | 2022-03-24T06:15:37.000Z | estimate.py | DS3Lab/feebee | eb210d07a7f9956ca2d0681ccf446330c8427a8b | [
"Apache-2.0"
] | null | null | null | estimate.py | DS3Lab/feebee | eb210d07a7f9956ca2d0681ccf446330c8427a8b | [
"Apache-2.0"
] | 1 | 2021-12-20T12:11:55.000Z | 2021-12-20T12:11:55.000Z | from absl import app
from absl import flags
from absl import logging
import csv
import importlib
import numpy as np
import os.path as path
import random
from sklearn.model_selection import train_test_split
import time
from transformations.reader.matrix import test_argument_and_file, load_and_log
import transformations... | 51.153846 | 215 | 0.665369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,638 | 0.233348 |
27dfb13b1540ca2ae940981337f040231ef6dd46 | 2,610 | py | Python | allmodels_image.py | GustavZ/Tensorflow-Object-Detection | 3aab434b20e510d3953b4265dd73a1c7c315067d | [
"MIT"
] | 187 | 2017-12-26T17:41:09.000Z | 2019-03-06T04:44:25.000Z | allmodels_image.py | a554142589/realtime_object_detection | d2bd7e58df9af1848e473fa7627aa2433192903d | [
"MIT"
] | 38 | 2018-02-01T17:05:01.000Z | 2019-02-15T21:58:25.000Z | allmodels_image.py | a554142589/realtime_object_detection | d2bd7e58df9af1848e473fa7627aa2433192903d | [
"MIT"
] | 65 | 2018-01-19T06:03:44.000Z | 2019-03-06T04:58:31.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 10 09:45:23 2018
@author: www.github.com/GustavZ
"""
import os
import sys
import numpy as np
from rod.config import Config
from rod.helper import get_model_list, check_if_optimized_model
from rod.model import ObjectDetectionModel, DeepLabModel
RO... | 32.222222 | 79 | 0.668966 | 649 | 0.248659 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.191188 |
27e04f3e71ee9ae2490b13c55437303fba48ca2d | 5,953 | py | Python | train.py | Jing-lun/GPR_3D_Model_Reconstruction | 24259bdbdf5e993e286e556ee1bae720892a16b9 | [
"Unlicense"
] | 1 | 2021-09-30T10:22:54.000Z | 2021-09-30T10:22:54.000Z | train.py | Jing-lun/GPR_3D_Model_Reconstruction | 24259bdbdf5e993e286e556ee1bae720892a16b9 | [
"Unlicense"
] | 1 | 2021-07-23T13:10:58.000Z | 2021-07-23T13:10:58.000Z | train.py | Jing-lun/GPR_3D_Model_Reconstruction | 24259bdbdf5e993e286e556ee1bae720892a16b9 | [
"Unlicense"
] | null | null | null | # Copyright 2021, Robotics Lab, City College of New York
# 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 ... | 36.975155 | 111 | 0.607425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,744 | 0.292962 |
27e1b8a412e18403318f1bb9f3adb67ae8c94d10 | 805 | py | Python | Python/1-Fundamentals/Week 2/workshop2/banking_pkg/account.py | armirh/Nucamp-SQL-Devops-Training | 6c2dc5793c732bfb4c4d365acbb346a95fbf4bf2 | [
"MIT"
] | 2 | 2022-01-19T02:33:11.000Z | 2022-01-19T02:33:13.000Z | Python/1-Fundamentals/Week 2/workshop2/banking_pkg/account.py | armirh/Nucamp-SQL-Devops-Training | 6c2dc5793c732bfb4c4d365acbb346a95fbf4bf2 | [
"MIT"
] | null | null | null | Python/1-Fundamentals/Week 2/workshop2/banking_pkg/account.py | armirh/Nucamp-SQL-Devops-Training | 6c2dc5793c732bfb4c4d365acbb346a95fbf4bf2 | [
"MIT"
] | null | null | null | import sys
def show_balance(balance):
balance = ''
print(" Has logged in!")
print(" The current balance is " + str(balance))
def deposit(balance):
print("Your current balance is: " + str(balance))
while True:
deposit_amount = float(input("Enter deposit amount: "))
balance = f... | 23.676471 | 70 | 0.607453 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 0.248447 |
27e21695cafe73f0d93a69b097c0c530103f4723 | 2,098 | py | Python | scrapers/who.py | kollivier/sushi-chef-who-covid-advice | cb50d5fdfe992767eff50bc33e323a682752d0b2 | [
"MIT"
] | null | null | null | scrapers/who.py | kollivier/sushi-chef-who-covid-advice | cb50d5fdfe992767eff50bc33e323a682752d0b2 | [
"MIT"
] | null | null | null | scrapers/who.py | kollivier/sushi-chef-who-covid-advice | cb50d5fdfe992767eff50bc33e323a682752d0b2 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
from ricecooker.classes import nodes
class WHOPageScraperBase:
def __init__(self, url, file_on_disk):
self.url = url
self.file_on_disk = file_on_disk
def node_for_text_section(self, content):
# print("content = {}".format(content.prettify()))
pas... | 32.78125 | 86 | 0.597712 | 2,024 | 0.964728 | 0 | 0 | 0 | 0 | 0 | 0 | 562 | 0.267874 |
27e33b028e6c906a2e346f640e4d67536b199914 | 23,817 | py | Python | dxtbx/tests/model/experiment/test_experiment_list.py | jbeilstenedmands/cctbx_project | c228fb15ab10377f664c39553d866281358195aa | [
"BSD-3-Clause-LBNL"
] | null | null | null | dxtbx/tests/model/experiment/test_experiment_list.py | jbeilstenedmands/cctbx_project | c228fb15ab10377f664c39553d866281358195aa | [
"BSD-3-Clause-LBNL"
] | null | null | null | dxtbx/tests/model/experiment/test_experiment_list.py | jbeilstenedmands/cctbx_project | c228fb15ab10377f664c39553d866281358195aa | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import absolute_import, division, print_function
import six.moves.cPickle as pickle
from glob import glob
import os
import pytest
from dxtbx.model import Experiment, ExperimentList
from dxtbx.model.experiment_list import ExperimentListFactory, \
ExperimentListDumper, ExperimentListDict
def test_ex... | 32.715659 | 89 | 0.719528 | 0 | 0 | 0 | 0 | 924 | 0.038796 | 0 | 0 | 4,255 | 0.178654 |
27e6185cd1321c58ae5c06b94cfd558705c422cd | 365 | py | Python | Divergence analysis/splitreference.py | MarniTausen/CloverAnalysisPipeline | ae169b46c7be40cdf0d97101480be12df87fc58e | [
"Unlicense"
] | 4 | 2018-03-26T08:54:50.000Z | 2021-07-28T13:34:07.000Z | Divergence analysis/splitreference.py | MarniTausen/CloverAnalysisPipeline | ae169b46c7be40cdf0d97101480be12df87fc58e | [
"Unlicense"
] | null | null | null | Divergence analysis/splitreference.py | MarniTausen/CloverAnalysisPipeline | ae169b46c7be40cdf0d97101480be12df87fc58e | [
"Unlicense"
] | 4 | 2017-10-26T12:59:39.000Z | 2021-07-12T08:40:56.000Z | from sys import argv
def make_new_reference_files(filename, sub1, sub2, divider=">chr9"):
genomes = open(filename).read().split(divider)
f = open(sub1, "w")
f.write(genomes[0])
f.close()
f = open(sub2, "w")
f.write(">chr9"+genomes[1])
f.close()
if __name__=="__main__":
make_new_referen... | 26.071429 | 68 | 0.635616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.082192 |
27e766575366ccd5d46f9e7a446bbcc0f07d388e | 1,323 | py | Python | __pg/appids.py | briandorsey/cloud-playground | 6e8ee5fcc6bb4e96bd10dcdf9eda451870c3cc1e | [
"Apache-2.0"
] | 5 | 2017-03-02T15:57:44.000Z | 2020-02-14T05:17:28.000Z | __pg/appids.py | briandorsey/cloud-playground | 6e8ee5fcc6bb4e96bd10dcdf9eda451870c3cc1e | [
"Apache-2.0"
] | null | null | null | __pg/appids.py | briandorsey/cloud-playground | 6e8ee5fcc6bb4e96bd10dcdf9eda451870c3cc1e | [
"Apache-2.0"
] | 3 | 2017-05-20T11:23:07.000Z | 2022-01-13T12:00:57.000Z | """Module which defines collaborating app ids.
This module is used by:
settings.py
scripts/deploy.sh
"""
import os
# List of (playground appid, mimic app id, playground app id alias)
_APP_ID_TUPLES = [
# production environment
('try-appengine', 'shared-playground', 'cloud-playground'),
# developmen... | 25.442308 | 67 | 0.708995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 696 | 0.526077 |
27e7f431903fe9377416892525c526c246e0ed24 | 21,183 | py | Python | _states/novav21.py | NDPF/salt-formula-nova | 265d9e6c2cbd41d564ee389b210441d9f7378433 | [
"Apache-2.0"
] | 4 | 2017-04-27T14:27:04.000Z | 2017-11-04T18:23:09.000Z | _states/novav21.py | NDPF/salt-formula-nova | 265d9e6c2cbd41d564ee389b210441d9f7378433 | [
"Apache-2.0"
] | 22 | 2017-02-01T09:04:52.000Z | 2019-05-10T09:04:01.000Z | _states/novav21.py | NDPF/salt-formula-nova | 265d9e6c2cbd41d564ee389b210441d9f7378433 | [
"Apache-2.0"
] | 35 | 2017-02-05T23:11:16.000Z | 2019-04-04T17:21:36.000Z | # 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... | 39.155268 | 84 | 0.626729 | 206 | 0.009725 | 0 | 0 | 10,182 | 0.480668 | 0 | 0 | 6,418 | 0.302979 |
27ea8174cb81713dd5c70d96704d5a2c63cec32e | 325 | py | Python | server/dev.py | Khanable/Photography-Portfolio-Website | 5019e8316e078dcb672888dd847fdd6b732443a9 | [
"MIT"
] | null | null | null | server/dev.py | Khanable/Photography-Portfolio-Website | 5019e8316e078dcb672888dd847fdd6b732443a9 | [
"MIT"
] | null | null | null | server/dev.py | Khanable/Photography-Portfolio-Website | 5019e8316e078dcb672888dd847fdd6b732443a9 | [
"MIT"
] | null | null | null | from sys import modules
from importlib import import_module
modules['server'] = import_module('src')
from werkzeug.serving import run_simple
from server.app import App
from server.mode import Mode
if __name__=='__main__':
app = App(mode=Mode.Development)
run_simple('localhost', 8000, app, use_reloader=Tr... | 27.083333 | 55 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.104615 |
27ed7774eba9356593529c7a047bb6eafaebca6b | 6,891 | py | Python | src/pyff/fetch.py | rhoerbe/pyFF | 85933ed9cc9f720c9432d5e4c3114895cefd3579 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/pyff/fetch.py | rhoerbe/pyFF | 85933ed9cc9f720c9432d5e4c3114895cefd3579 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/pyff/fetch.py | rhoerbe/pyFF | 85933ed9cc9f720c9432d5e4c3114895cefd3579 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """
An abstraction layer for metadata fetchers. Supports both syncronous and asyncronous fetchers with cache.
"""
from .logs import get_log
import os
import requests
from .constants import config
from datetime import datetime
from collections import deque
import six
from concurrent import futures
import traceback
fr... | 29.702586 | 108 | 0.565085 | 6,181 | 0.896967 | 123 | 0.017849 | 420 | 0.060949 | 0 | 0 | 644 | 0.093455 |
27effbc79d2bf6543199f4b75da0205988092da4 | 498 | py | Python | pychonet/HomeSolarPower.py | mochipon/pychonet | 65ba4189f9a66b6e698646854542cdd506369813 | [
"MIT"
] | null | null | null | pychonet/HomeSolarPower.py | mochipon/pychonet | 65ba4189f9a66b6e698646854542cdd506369813 | [
"MIT"
] | null | null | null | pychonet/HomeSolarPower.py | mochipon/pychonet | 65ba4189f9a66b6e698646854542cdd506369813 | [
"MIT"
] | null | null | null | from pychonet.EchonetInstance import EchonetInstance
class HomeSolarPower(EchonetInstance):
def __init__(self, netif, instance = 0x1):
self.eojgc = 0x02
self.eojcc = 0x79
EchonetInstance.__init__(self, self.eojgc, self.eojcc, instance, netif)
def getMeasuredInstantPower(self):
... | 35.571429 | 79 | 0.728916 | 443 | 0.889558 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.02008 |
27f5b22f4011155a67ce267a26bf5d2d27c8298e | 6,955 | py | Python | adlmagics/adlmagics/adlmagics_main.py | Azure/Azure-Data-Service-Notebook | 6bd28587c9fa0a7c1f9113f638b790b1773c5585 | [
"MIT"
] | 6 | 2018-06-06T08:37:53.000Z | 2020-06-01T13:13:13.000Z | adlmagics/adlmagics/adlmagics_main.py | Azure/Azure-Data-Service-Notebook | 6bd28587c9fa0a7c1f9113f638b790b1773c5585 | [
"MIT"
] | 30 | 2018-06-08T02:47:18.000Z | 2018-07-25T07:07:07.000Z | adlmagics/adlmagics/adlmagics_main.py | Azure/Azure-Data-Service-Notebook | 6bd28587c9fa0a7c1f9113f638b790b1773c5585 | [
"MIT"
] | 5 | 2018-06-06T08:37:55.000Z | 2021-01-07T09:15:15.000Z | from IPython.core.magic import Magics, magics_class, line_cell_magic
from sys import stdout
from os import linesep
from os.path import join, expanduser
from adlmagics.version import adlmagics_version
from adlmagics.converters.dataframe_converter import DataFrameConverter
from adlmagics.utils.json_file_persister impo... | 48.298611 | 168 | 0.78404 | 4,529 | 0.651186 | 0 | 0 | 4,543 | 0.653199 | 0 | 0 | 224 | 0.032207 |
27f6676280bfbc46f5ea3961bee24ccfef845e05 | 10,137 | py | Python | metadata_service/api/dashboard.py | iiAnderson/metaflow-service | b42391e5ee2187a93259b944c515522d76b1314e | [
"Apache-2.0"
] | null | null | null | metadata_service/api/dashboard.py | iiAnderson/metaflow-service | b42391e5ee2187a93259b944c515522d76b1314e | [
"Apache-2.0"
] | null | null | null | metadata_service/api/dashboard.py | iiAnderson/metaflow-service | b42391e5ee2187a93259b944c515522d76b1314e | [
"Apache-2.0"
] | null | null | null | import asyncio
import json
from datetime import datetime, timedelta
from aiohttp import web
from .utils import read_body, get_week_times, get_formatted_time
from ..data.models import RunRow
from ..data.postgres_async_db import AsyncPostgresDB
import logging
class DashboardAPI(object):
_run_table = None
lock = ... | 32.805825 | 111 | 0.56792 | 9,876 | 0.974253 | 0 | 0 | 0 | 0 | 8,973 | 0.885173 | 3,940 | 0.388675 |
27f693df0e7ea237223f8c2bc9de9a57a4f98dac | 838 | py | Python | tests/test_report.py | whalebot-helmsman/pykt-64 | ee5e0413cd850876d3abc438480fffea4f7b7517 | [
"BSD-3-Clause"
] | null | null | null | tests/test_report.py | whalebot-helmsman/pykt-64 | ee5e0413cd850876d3abc438480fffea4f7b7517 | [
"BSD-3-Clause"
] | null | null | null | tests/test_report.py | whalebot-helmsman/pykt-64 | ee5e0413cd850876d3abc438480fffea4f7b7517 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from setup_teardown import start_db, stop_db
from nose.tools import *
from pykt import KyotoTycoon, KTException
@raises(IOError)
def test_err_report():
db = KyotoTycoon()
db.report()
@with_setup(setup=start_db,teardown=stop_db)
def test_report():
db = KyotoTycoon()
db = db.open... | 21.487179 | 44 | 0.643198 | 0 | 0 | 0 | 0 | 693 | 0.826969 | 0 | 0 | 29 | 0.034606 |
27f6d38ee1079239114141527da38c16b3c99951 | 1,024 | py | Python | src/Screen.py | D3r3k23/CaveRun | 27f7b3c518f8646bc506f5d3b774ef6e62faef96 | [
"MIT"
] | 1 | 2022-02-10T04:42:04.000Z | 2022-02-10T04:42:04.000Z | src/Screen.py | D3r3k23/CaveRun | 27f7b3c518f8646bc506f5d3b774ef6e62faef96 | [
"MIT"
] | null | null | null | src/Screen.py | D3r3k23/CaveRun | 27f7b3c518f8646bc506f5d3b774ef6e62faef96 | [
"MIT"
] | 1 | 2022-01-11T17:11:44.000Z | 2022-01-11T17:11:44.000Z |
import Resources
import Colors
import pygame
screen = None
def init(width, height):
global screen
screen = pygame.display.set_mode((width, height))
def width():
return screen.get_width()
def height():
return screen.get_height()
def res():
return (screen.get_width(), screen.get_height())
def ... | 21.333333 | 90 | 0.640625 | 405 | 0.395508 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.129883 |
27f931503927cf87b2047c06d44bfc6dbb23b7c2 | 5,416 | py | Python | manga_db/extractor/toonily.py | nilfoer/mangadb | 860d7de310002735631ea26810b4df5b6bc08d7b | [
"MIT"
] | 3 | 2021-01-14T16:22:41.000Z | 2022-02-21T03:31:22.000Z | manga_db/extractor/toonily.py | nilfoer/mangadb | 860d7de310002735631ea26810b4df5b6bc08d7b | [
"MIT"
] | 13 | 2021-01-14T10:34:19.000Z | 2021-05-20T08:47:54.000Z | manga_db/extractor/toonily.py | nilfoer/mangadb | 860d7de310002735631ea26810b4df5b6bc08d7b | [
"MIT"
] | 1 | 2022-02-24T03:10:04.000Z | 2022-02-24T03:10:04.000Z | import re
import datetime
import bs4
from typing import Dict, Tuple, Optional, TYPE_CHECKING, ClassVar, Pattern, cast, Match, Any
from .base import BaseMangaExtractor, MangaExtractorData
from ..constants import STATUS_IDS, CENSOR_IDS
if TYPE_CHECKING:
from ..ext_info import ExternalInfo
class ToonilyExtractor... | 37.351724 | 111 | 0.605613 | 5,117 | 0.944793 | 0 | 0 | 732 | 0.135155 | 0 | 0 | 1,269 | 0.234306 |
27fb6ab9dc39790c3dcbcf43be391bd869cc5d49 | 10,965 | py | Python | blindbackup/providers/blindfs.py | nagylzs/blindbackup | fa0c7a6ef42bb5aefec99eff69a3227c8695fdd9 | [
"Apache-2.0"
] | 1 | 2020-01-26T05:46:14.000Z | 2020-01-26T05:46:14.000Z | blindbackup/providers/blindfs.py | nagylzs/blindbackup | fa0c7a6ef42bb5aefec99eff69a3227c8695fdd9 | [
"Apache-2.0"
] | null | null | null | blindbackup/providers/blindfs.py | nagylzs/blindbackup | fa0c7a6ef42bb5aefec99eff69a3227c8695fdd9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import os.path
import threading
from .. import cryptfile
from ..util import *
from ..client import create_client
from ..syncdir import FsProvider, FsListener
class BlindFsListener(threading.Thread, FsListener):
def is_stopping(self):
return self.stop_requested.isSet()
def __in... | 38.882979 | 121 | 0.529503 | 10,777 | 0.982855 | 1,625 | 0.148199 | 60 | 0.005472 | 0 | 0 | 2,220 | 0.202462 |
27fd6c6f828a7e94f81f249d959e7e48fffdae85 | 3,587 | py | Python | examples/computer_vision/harris.py | parag-hub/arrayfire-python | 65040c10833506f212f13e5bcc0e49cb20645e6e | [
"BSD-3-Clause"
] | 420 | 2015-07-30T00:02:21.000Z | 2022-03-28T16:52:28.000Z | examples/computer_vision/harris.py | parag-hub/arrayfire-python | 65040c10833506f212f13e5bcc0e49cb20645e6e | [
"BSD-3-Clause"
] | 198 | 2015-07-29T17:17:36.000Z | 2022-01-20T18:31:28.000Z | examples/computer_vision/harris.py | parag-hub/arrayfire-python | 65040c10833506f212f13e5bcc0e49cb20645e6e | [
"BSD-3-Clause"
] | 75 | 2015-07-29T15:17:54.000Z | 2022-02-24T06:50:23.000Z | #!/usr/bin/env python
#######################################################
# Copyright (c) 2018, ArrayFire
# All rights reserved.
#
# This file is distributed under 3-clause BSD license.
# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
###############################... | 28.927419 | 85 | 0.606078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,296 | 0.361305 |
7e0022ad51ef52a75fd8fa97ecb5ea7bdfaf493d | 4,376 | py | Python | tests/generate_data.py | ngounou92/py-glm | 83081444e2cbba4d94f9e6b85b6be23e0ff600b8 | [
"BSD-3-Clause"
] | 127 | 2017-09-01T13:54:43.000Z | 2022-03-12T11:43:32.000Z | tests/generate_data.py | cscherrer/py-glm | d719d29fb5cc71c2cb5e728db36c6230a69292d8 | [
"BSD-3-Clause"
] | 8 | 2017-09-01T14:00:55.000Z | 2020-11-09T14:42:50.000Z | tests/generate_data.py | cscherrer/py-glm | d719d29fb5cc71c2cb5e728db36c6230a69292d8 | [
"BSD-3-Clause"
] | 35 | 2017-09-01T19:23:04.000Z | 2022-03-22T13:45:10.000Z | import numpy as np
from scipy.linalg import sqrtm
from sklearn.preprocessing import StandardScaler
def make_linear_regression(n_samples=10000,
n_uncorr_features=10, n_corr_features=10,
n_drop_features=4,
include_intercept=True,
... | 41.67619 | 81 | 0.658364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7e0285965f79d7e3cf86a7275a5d19452f38b750 | 1,735 | py | Python | scripts/http-server.py | jrbenito/SonoffDIY-tasmotizer | 1fe9eb9b3b5630102feaf941bd02173d916e81a5 | [
"MIT"
] | null | null | null | scripts/http-server.py | jrbenito/SonoffDIY-tasmotizer | 1fe9eb9b3b5630102feaf941bd02173d916e81a5 | [
"MIT"
] | 3 | 2020-03-30T14:07:54.000Z | 2020-03-30T22:59:29.000Z | scripts/http-server.py | jrbenito/SonoffDIY-tasmotizer | 1fe9eb9b3b5630102feaf941bd02173d916e81a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# encoding: utf-8
"""
fake-registration-server.py
Created by nano on 2018-11-22.
Copyright (c) 2018 VTRUST. All rights reserved.
"""
import tornado.web
import tornado.locks
from tornado.options import define, options, parse_command_line
define("port", default=80, help="run on the given port", t... | 25.144928 | 101 | 0.702594 | 305 | 0.175793 | 0 | 0 | 0 | 0 | 0 | 0 | 515 | 0.29683 |
7e03585ae9ededa10d0e3ad01e0e054a8d2b1e4e | 1,998 | py | Python | tests/summary/test_binning_config.py | rob-tay/fast-carpenter | a8b128ba00b9a6808b2f0de40cefa2a360466897 | [
"Apache-2.0"
] | null | null | null | tests/summary/test_binning_config.py | rob-tay/fast-carpenter | a8b128ba00b9a6808b2f0de40cefa2a360466897 | [
"Apache-2.0"
] | null | null | null | tests/summary/test_binning_config.py | rob-tay/fast-carpenter | a8b128ba00b9a6808b2f0de40cefa2a360466897 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import fast_carpenter.summary.binning_config as mgr
from . import dummy_binning_descriptions as binning
def test_create_one_region():
cfg = {"_" + k: v for k, v in binning.bins_nmuon.items()}
_in, _out, _bins, _index = mgr.create_one_dimension("test_create_one_region", **cfg)
assert _in... | 33.864407 | 116 | 0.68018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 322 | 0.161161 |
7e037b73adcc0dc266a78c21e1147b45fea5e505 | 671 | py | Python | create_ITIs.py | daanvanes/mloc_exp | bf6fb94b933f1cb78c60c38f80f03c78e9da3686 | [
"MIT"
] | 1 | 2019-03-20T15:12:07.000Z | 2019-03-20T15:12:07.000Z | create_ITIs.py | daanvanes/mloc_exp | bf6fb94b933f1cb78c60c38f80f03c78e9da3686 | [
"MIT"
] | null | null | null | create_ITIs.py | daanvanes/mloc_exp | bf6fb94b933f1cb78c60c38f80f03c78e9da3686 | [
"MIT"
] | null | null | null | from __future__ import division
from constants import *
import numpy as np
import os
precueITIs = np.random.exponential(standard_parameters['mean_iti_precue'], standard_parameters['n_targets']) + standard_parameters['min_iti_precue']
np.save('ITIs/precueITIs.npy',precueITIs)
postcueITIs = np.random.exponential(standa... | 51.615385 | 162 | 0.81073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.28763 |
7e040cb0e0c724ec734deffc7ed5a19d9e7e9d15 | 99 | py | Python | venv/lib/python3.7/site-packages/kdlearn/myfunctions.py | FillOverFlow/kdlearn | 1e57895cb10ca903a33e2774986661b9b64d4071 | [
"MIT"
] | 1 | 2021-01-19T03:35:20.000Z | 2021-01-19T03:35:20.000Z | venv/lib/python3.7/site-packages/kdlearn/myfunctions.py | FillOverFlow/kdlearn | 1e57895cb10ca903a33e2774986661b9b64d4071 | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/kdlearn/myfunctions.py | FillOverFlow/kdlearn | 1e57895cb10ca903a33e2774986661b9b64d4071 | [
"MIT"
] | null | null | null | '''
PUT FUNCTION HERE !!
Author Davinci
'''
def helloworld(name):
return "KDlearn :" + name
| 9.9 | 29 | 0.626263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.555556 |
7e0480f047709048b68affbe1e229fbea8aaa94b | 4,122 | py | Python | Set_ADT/linearset.py | jaeheeLee17/DS_and_Algorithms_summary | 917500dd768eae8cfbb02cf2838d494cb720f1c0 | [
"MIT"
] | null | null | null | Set_ADT/linearset.py | jaeheeLee17/DS_and_Algorithms_summary | 917500dd768eae8cfbb02cf2838d494cb720f1c0 | [
"MIT"
] | null | null | null | Set_ADT/linearset.py | jaeheeLee17/DS_and_Algorithms_summary | 917500dd768eae8cfbb02cf2838d494cb720f1c0 | [
"MIT"
] | null | null | null | # Implementation of the Set ADT container using a Python list.
class Set:
# Creates an empty set instance.
def __init__(self):
self._theElements = list()
# Returns the number of items in the set
def __len__(self):
return len(self._theElements)
# Determines if an element is in the s... | 31.707692 | 71 | 0.563561 | 4,025 | 0.976468 | 0 | 0 | 0 | 0 | 0 | 0 | 1,160 | 0.281417 |
7e0968601bb493a7e6ab7c62ca33e94de63a37f6 | 123 | py | Python | src/apps/buttons/apps.py | GoddessEyes/info_tbot | c7c5c818dc0c0c72aa15e6e4a85e7e28b4a7660d | [
"MIT"
] | null | null | null | src/apps/buttons/apps.py | GoddessEyes/info_tbot | c7c5c818dc0c0c72aa15e6e4a85e7e28b4a7660d | [
"MIT"
] | 4 | 2021-03-19T02:42:10.000Z | 2021-09-22T19:08:09.000Z | src/apps/buttons/apps.py | GoddessEyes/info_tbot | c7c5c818dc0c0c72aa15e6e4a85e7e28b4a7660d | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class ButtonsConfig(AppConfig):
name = 'apps.buttons'
verbose_name = 'Клавиши'
| 17.571429 | 33 | 0.731707 | 93 | 0.715385 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.230769 |
7e09cc367a70ac9496d060fdad8e3eb6e83f2472 | 141 | py | Python | code/tenka1_2019_c_01.py | KoyanagiHitoshi/AtCoder | 731892543769b5df15254e1f32b756190378d292 | [
"MIT"
] | 3 | 2019-08-16T16:55:48.000Z | 2021-04-11T10:21:40.000Z | code/tenka1_2019_c_01.py | KoyanagiHitoshi/AtCoder | 731892543769b5df15254e1f32b756190378d292 | [
"MIT"
] | null | null | null | code/tenka1_2019_c_01.py | KoyanagiHitoshi/AtCoder | 731892543769b5df15254e1f32b756190378d292 | [
"MIT"
] | null | null | null | input()
S=input()
dot=S.count(".")
ans=dot
count=0
for s in S:
if s=="#":count+=1
else:dot-=1
ans=(min(ans,count+dot))
print(ans) | 14.1 | 28 | 0.574468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.042553 |
7e0a3148033e56abb61f66e7e257ace62456c980 | 2,932 | py | Python | app/billing/views.py | flaviogf/finance | 86a74e1eea6b19d7fe8c311eb77394a267e26432 | [
"MIT"
] | null | null | null | app/billing/views.py | flaviogf/finance | 86a74e1eea6b19d7fe8c311eb77394a267e26432 | [
"MIT"
] | null | null | null | app/billing/views.py | flaviogf/finance | 86a74e1eea6b19d7fe8c311eb77394a267e26432 | [
"MIT"
] | null | null | null | from flask import (Blueprint, abort, flash, redirect, render_template, request,
url_for)
from flask_login import current_user, login_required
from app import db
from app.billing.forms import CreateBillingForm
from app.models import Billing
from sqlalchemy import desc
billing = Blueprint('billing', ... | 27.660377 | 96 | 0.664734 | 0 | 0 | 0 | 0 | 2,587 | 0.882333 | 0 | 0 | 396 | 0.135061 |
7e0b8779363fd91f6026918cffc7f561df56bcf8 | 9,120 | py | Python | flickipedia/mashup.py | rfaulkner/Flickipedia | 1b53f30be4027901748a09c411d568c7148f4e4b | [
"BSD-2-Clause"
] | 1 | 2016-03-11T09:40:19.000Z | 2016-03-11T09:40:19.000Z | flickipedia/mashup.py | rfaulkner/Flickipedia | 1b53f30be4027901748a09c411d568c7148f4e4b | [
"BSD-2-Clause"
] | 1 | 2015-02-27T02:23:19.000Z | 2015-02-27T02:23:19.000Z | flickipedia/mashup.py | rfaulkner/Flickipedia | 1b53f30be4027901748a09c411d568c7148f4e4b | [
"BSD-2-Clause"
] | null | null | null | """
Author: Ryan Faulkner
Date: October 19th, 2014
Container for mashup logic.
"""
import json
import random
from sqlalchemy.orm.exc import UnmappedInstanceError
from flickipedia.redisio import DataIORedis
from flickipedia.model.articles import ArticleModel, ArticleContentModel
from flickipedia.config ... | 35.076923 | 78 | 0.607346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,160 | 0.346491 |
7e0be21835c15a9296a6ae0c119d0388d9169b45 | 240 | py | Python | docs/examples/slider_dimmer.py | SatoshiIwasada/BlueDot | e93bc242593d3a3cbfd0ff97f98fcffb0fcd961a | [
"MIT"
] | 112 | 2017-03-27T17:23:17.000Z | 2022-03-13T09:51:43.000Z | docs/examples/slider_dimmer.py | SatoshiIwasada/BlueDot | e93bc242593d3a3cbfd0ff97f98fcffb0fcd961a | [
"MIT"
] | 109 | 2017-03-29T11:19:54.000Z | 2022-02-03T14:18:15.000Z | docs/examples/slider_dimmer.py | SatoshiIwasada/BlueDot | e93bc242593d3a3cbfd0ff97f98fcffb0fcd961a | [
"MIT"
] | 40 | 2017-03-30T23:23:27.000Z | 2022-01-21T17:09:11.000Z | from bluedot import BlueDot
from gpiozero import PWMLED
from signal import pause
def set_brightness(pos):
brightness = (pos.y + 1) / 2
led.value = brightness
led = PWMLED(27)
bd = BlueDot()
bd.when_moved = set_brightness
pause()
| 17.142857 | 32 | 0.725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7e0e399837934c037868f72f1f2ece1fe8884d6e | 328 | py | Python | blog/urls.py | Halo-Developers/Halo-Learn | 4c8f9e395c0145df39fa3333fefa23d02a370688 | [
"MIT"
] | 1 | 2021-09-23T16:02:51.000Z | 2021-09-23T16:02:51.000Z | blog/urls.py | kuyesu/Halo-Learn | abd60d45c191297daedd20b3b308a30a78cba9c7 | [
"MIT"
] | null | null | null | blog/urls.py | kuyesu/Halo-Learn | abd60d45c191297daedd20b3b308a30a78cba9c7 | [
"MIT"
] | 2 | 2021-09-20T09:50:45.000Z | 2022-02-20T06:42:42.000Z | from django.urls import path
from . import views
app_name = 'blog'
urlpatterns = [
path('', views.post_list, name='post_list'),
path('<slug:post>/',views.post_detail,name="post_detail"),
path('comment/reply/', views.reply_page, name="reply"),
path('tag/<slug:tag_slug>/',views.post_list, name='post_tag... | 27.333333 | 68 | 0.67378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0.307927 |
7e11a4d77fb343f77a786063eff503d5200a6c2d | 1,313 | py | Python | 126-Word_Ladder_II.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | 6 | 2018-06-13T06:48:42.000Z | 2020-11-25T10:48:13.000Z | 126-Word_Ladder_II.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | null | null | null | 126-Word_Ladder_II.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | null | null | null | class Solution:
def findLadders(self, beginWord: str, endWord: str, wordList: List[str]) -> List[List[str]]:
tree, words, len_w = collections.defaultdict(set), set( wordList ), len(beginWord)
if endWord not in words:
return []
found, q, nextq = False, {beginWord... | 35.486486 | 96 | 0.393755 | 1,312 | 0.999238 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.063976 |
fd665b1231aab43a664a3eab839a54a833e10f79 | 3,144 | py | Python | web/env/lib/python3.6/site-packages/test/file/test_includer.py | Conbrown100/webfortune | 779026d064498d36ddeba07e06cc744fb335ceb6 | [
"Apache-2.0"
] | 8 | 2015-07-30T16:19:18.000Z | 2021-08-10T21:00:47.000Z | web/env/lib/python3.6/site-packages/test/file/test_includer.py | Conbrown100/webfortune | 779026d064498d36ddeba07e06cc744fb335ceb6 | [
"Apache-2.0"
] | 3 | 2015-01-09T13:53:55.000Z | 2017-06-05T17:39:46.000Z | web/env/lib/python3.6/site-packages/test/file/test_includer.py | Conbrown100/webfortune | 779026d064498d36ddeba07e06cc744fb335ceb6 | [
"Apache-2.0"
] | 6 | 2015-01-09T13:47:15.000Z | 2020-12-25T14:09:41.000Z | import os
from tempfile import TemporaryDirectory
import codecs
import logging
from grizzled.file.includer import *
from grizzled.os import working_directory
from grizzled.text import strip_margin
import pytest
@pytest.fixture
def log():
return logging.getLogger('test')
def test_simple(log):
outer = '''|Firs... | 29.383178 | 70 | 0.515585 | 0 | 0 | 0 | 0 | 63 | 0.020038 | 0 | 0 | 1,253 | 0.398537 |
fd684e3bf1de0c4b9c2f1d5a15a6a2d42e862075 | 286 | py | Python | output/models/nist_data/list_pkg/unsigned_short/schema_instance/nistschema_sv_iv_list_unsigned_short_min_length_2_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/unsigned_short/schema_instance/nistschema_sv_iv_list_unsigned_short_min_length_2_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/unsigned_short/schema_instance/nistschema_sv_iv_list_unsigned_short_min_length_2_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.list_pkg.unsigned_short.schema_instance.nistschema_sv_iv_list_unsigned_short_min_length_2_xsd.nistschema_sv_iv_list_unsigned_short_min_length_2 import NistschemaSvIvListUnsignedShortMinLength2
__all__ = [
"NistschemaSvIvListUnsignedShortMinLength2",
]
| 47.666667 | 221 | 0.905594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.15035 |
fd69e06856c7f3a481475985f97cf69bf7d1965f | 127 | py | Python | satchmo/projects/skeleton/localsite/urls.py | predatell/satchmo | 6ced1f845aadec240c7e433c3cbf4caca96e0d92 | [
"BSD-3-Clause"
] | 1 | 2019-10-08T16:19:59.000Z | 2019-10-08T16:19:59.000Z | satchmo/projects/skeleton/localsite/urls.py | predatell/satchmo | 6ced1f845aadec240c7e433c3cbf4caca96e0d92 | [
"BSD-3-Clause"
] | null | null | null | satchmo/projects/skeleton/localsite/urls.py | predatell/satchmo | 6ced1f845aadec240c7e433c3cbf4caca96e0d92 | [
"BSD-3-Clause"
] | null | null | null | from django.conf.urls import url
from simple.localsite.views import example
urlpatterns = [
url(r'example/', example),
]
| 15.875 | 42 | 0.732283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.086614 |
fd6a627b6084b5a56d9fe3161a2d00c62052ed2a | 8,850 | py | Python | tbconnect/tests/test_views.py | praekeltfoundation/healthcheck | 3f8b3722ea41c2d81c706e0f9a3473ba2cb2f2ba | [
"BSD-3-Clause"
] | null | null | null | tbconnect/tests/test_views.py | praekeltfoundation/healthcheck | 3f8b3722ea41c2d81c706e0f9a3473ba2cb2f2ba | [
"BSD-3-Clause"
] | 23 | 2020-07-16T15:40:35.000Z | 2021-12-13T13:59:30.000Z | tbconnect/tests/test_views.py | praekeltfoundation/healthcheck | 3f8b3722ea41c2d81c706e0f9a3473ba2cb2f2ba | [
"BSD-3-Clause"
] | 1 | 2021-02-24T04:58:40.000Z | 2021-02-24T04:58:40.000Z | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Permission
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from tbconnect.models import TBCheck, TBTest
from userprofile.models import Hea... | 37.184874 | 84 | 0.568701 | 8,390 | 0.948023 | 0 | 0 | 0 | 0 | 0 | 0 | 1,988 | 0.224633 |
fd6abf4d61e22150256649650adbe262b09e0720 | 1,350 | py | Python | code/runibm1.py | jrod2699/CS159-NLP-Final-Project- | 76eea6149ab01d5e72232874398458ec9f35227f | [
"MIT"
] | null | null | null | code/runibm1.py | jrod2699/CS159-NLP-Final-Project- | 76eea6149ab01d5e72232874398458ec9f35227f | [
"MIT"
] | null | null | null | code/runibm1.py | jrod2699/CS159-NLP-Final-Project- | 76eea6149ab01d5e72232874398458ec9f35227f | [
"MIT"
] | null | null | null | import nltk
import random
from preprocess import compile_corpus
from nltk.translate import IBMModel1, AlignedSent, Alignment
def run(filename, iterations):
# global variables utilized in the assessment of the IBM Model
global ibm1
global corpus
# construct and modify corpus by adding the system alignm... | 31.395349 | 115 | 0.665926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 683 | 0.505926 |
fd6ba7ba1979062899ef77a2f2ebee1332127153 | 374 | py | Python | makenew_python_app/server/boot.py | makenew/python-app | 5f3c6669efe6e80d356d39afb712d72bf0e69916 | [
"MIT"
] | 2 | 2021-01-10T05:54:37.000Z | 2021-01-12T01:24:38.000Z | makenew_python_app/server/boot.py | makenew/python-app | 5f3c6669efe6e80d356d39afb712d72bf0e69916 | [
"MIT"
] | null | null | null | makenew_python_app/server/boot.py | makenew/python-app | 5f3c6669efe6e80d356d39afb712d72bf0e69916 | [
"MIT"
] | null | null | null | from os import environ, path
from .server import Server
from .config import configure
def boot(create_dependencies):
config_path = environ.get("PYAPP_CONFIG_PATH") or path.realpath(
path.join(path.dirname(__file__), "..", "..", "config")
)
server = Server(create_dependencies, config_path)
ser... | 26.714286 | 68 | 0.716578 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.093583 |
fd6c34c3adb6f440619a388c9b66cf0b7a99a5e9 | 1,027 | py | Python | checker/backends/pagure.py | 1dot75cm/repo-checker | 1ca191efbeaa9f44876546ee59487e8d515cd735 | [
"MIT"
] | 4 | 2016-01-10T15:58:48.000Z | 2019-08-10T23:12:31.000Z | checker/backends/pagure.py | 1dot75cm/repo-checker | 1ca191efbeaa9f44876546ee59487e8d515cd735 | [
"MIT"
] | 1 | 2021-03-31T18:46:14.000Z | 2021-03-31T18:46:14.000Z | checker/backends/pagure.py | 1dot75cm/repo-checker | 1ca191efbeaa9f44876546ee59487e8d515cd735 | [
"MIT"
] | 5 | 2016-03-22T00:58:33.000Z | 2017-09-14T12:43:54.000Z | # -*- coding: utf-8 -*-
from checker.backends import BaseBackend
from checker import logger
log = logger.getLogger(__name__)
class PagureBackend(BaseBackend):
"""for projects hosted on pagure.io"""
name = 'Pagure'
domain = 'pagure.io'
example = 'https://pagure.io/pagure'
def __init__(self, url... | 27.756757 | 77 | 0.559883 | 897 | 0.873418 | 0 | 0 | 155 | 0.150925 | 0 | 0 | 296 | 0.288218 |
fd6d8440e80ddfffc2b7c87e874259a2676fb497 | 2,184 | py | Python | vial/plugins/grep/plugin.py | solarnz/vial | 080dd204c6fac49c9541cd179e7842de7cb6f8ee | [
"MIT"
] | 5 | 2015-06-27T09:36:26.000Z | 2018-05-05T02:43:43.000Z | vial/plugins/grep/plugin.py | solarnz/vial | 080dd204c6fac49c9541cd179e7842de7cb6f8ee | [
"MIT"
] | 4 | 2018-06-07T15:19:33.000Z | 2020-02-10T12:15:11.000Z | vial/plugins/grep/plugin.py | solarnz/vial | 080dd204c6fac49c9541cd179e7842de7cb6f8ee | [
"MIT"
] | 2 | 2019-08-30T07:27:05.000Z | 2020-02-12T08:03:24.000Z | import os
import re
from time import time
from vial import vfunc, vim
from vial.fsearch import get_files
from vial.utils import get_projects, redraw
MAX_FILESIZE = 10 * 1024 * 1024
def grep(query):
matcher = re.compile(re.escape(query))
t = time() - 1
result = []
for r in get_projects():
f... | 24.818182 | 61 | 0.431777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.087912 |
fd6ea7420f474f3252a16e6bcdeebb2e566cf6e9 | 3,619 | py | Python | tests/test_models.py | DynamicGravitySystems/DGP | 5c0b566b846eb25f1e5ede64b2caaaa6a3352a29 | [
"Apache-2.0"
] | 7 | 2017-08-15T21:51:40.000Z | 2020-10-28T00:40:23.000Z | tests/test_models.py | DynamicGravitySystems/DGP | 5c0b566b846eb25f1e5ede64b2caaaa6a3352a29 | [
"Apache-2.0"
] | 63 | 2017-08-11T15:12:03.000Z | 2020-05-23T19:03:46.000Z | tests/test_models.py | cbertinato/DGP | 5bb8a30895365eccdd452970c45e248903fca8af | [
"Apache-2.0"
] | 4 | 2018-03-29T21:30:26.000Z | 2020-10-27T20:15:23.000Z | # -*- coding: utf-8 -*-
"""
Unit tests for new Project/Flight data classes, including JSON
serialization/de-serialization
"""
import time
from datetime import datetime
from typing import Tuple
from uuid import uuid4
from pathlib import Path
import pytest
import pandas as pd
from dgp.core import DataType
from dgp.cor... | 27.210526 | 80 | 0.698812 | 0 | 0 | 0 | 0 | 184 | 0.050843 | 0 | 0 | 461 | 0.127383 |
fd6f10a9e5cd95371737b186d651e8e464b2660c | 389 | py | Python | examples/urls.py | sayanjap/DynamicForms | 071707de36d109fe3a17ae5df239240ea5ba707f | [
"BSD-3-Clause"
] | 42 | 2018-01-18T14:50:05.000Z | 2022-03-24T18:34:19.000Z | examples/urls.py | sayanjap/DynamicForms | 071707de36d109fe3a17ae5df239240ea5ba707f | [
"BSD-3-Clause"
] | 14 | 2018-12-05T21:39:23.000Z | 2022-02-27T06:43:48.000Z | examples/urls.py | sayanjap/DynamicForms | 071707de36d109fe3a17ae5df239240ea5ba707f | [
"BSD-3-Clause"
] | 5 | 2018-01-18T16:32:20.000Z | 2021-06-07T10:15:18.000Z | from django.conf.urls import include, url
from rest_framework.documentation import include_docs_urls
from examples.rest import router
from .views import index
urlpatterns = [
url(r'^$', index, name='index'),
url(r'^', include(router.urls)),
url(r'^dynamicforms/', include('dynamicforms.urls')),
url(r'^... | 29.923077 | 77 | 0.722365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.236504 |
fd6f1c1a3069baecfcb5b723cf12a8c76710a022 | 1,312 | py | Python | tests/contract/test_concept.py | Informasjonsforvaltning/fdk-harvester-bff | 21f5d41bbe2506d9c23f0e670e6dee1bfe9f0742 | [
"Apache-2.0"
] | null | null | null | tests/contract/test_concept.py | Informasjonsforvaltning/fdk-harvester-bff | 21f5d41bbe2506d9c23f0e670e6dee1bfe9f0742 | [
"Apache-2.0"
] | 20 | 2020-09-23T10:04:48.000Z | 2022-03-14T07:47:45.000Z | tests/contract/test_concept.py | Informasjonsforvaltning/fdk-harvester-bff | 21f5d41bbe2506d9c23f0e670e6dee1bfe9f0742 | [
"Apache-2.0"
] | null | null | null | """Test cases for concepts."""
from typing import Any
import pytest
import requests
@pytest.mark.contract
def test_get_concept_with_id(http_service: Any) -> None:
test_id = "a683bc63-2961-46af-9956-8a4a3f991cc6"
url = f"{http_service}/concepts/{test_id}"
result = requests.get(url=url, headers={"accept": ... | 42.322581 | 289 | 0.70503 | 0 | 0 | 0 | 0 | 1,231 | 0.933283 | 0 | 0 | 779 | 0.590599 |
fd6fc2f8e9fb0cf4963f53e0dd218bc472fd9daa | 4,572 | py | Python | passmanBackend/vault_backend/models.py | sharanvarma0/passman-backend | d210fcc43886bd9be40ceaba3411209799cb8476 | [
"BSD-3-Clause"
] | null | null | null | passmanBackend/vault_backend/models.py | sharanvarma0/passman-backend | d210fcc43886bd9be40ceaba3411209799cb8476 | [
"BSD-3-Clause"
] | null | null | null | passmanBackend/vault_backend/models.py | sharanvarma0/passman-backend | d210fcc43886bd9be40ceaba3411209799cb8476 | [
"BSD-3-Clause"
] | null | null | null | '''
Mostly these are internal imports related to django and rest_framework.
The os and io imports are for creating files, paths and parsing bytes objects respectively
'''
from django.db import models
from django.contrib.auth.models import User
from rest_framework.renderers import JSONRenderer
from rest_framework.par... | 41.563636 | 227 | 0.649606 | 3,090 | 0.675853 | 0 | 0 | 0 | 0 | 0 | 0 | 1,890 | 0.413386 |
fd71a2a6d5b1e71ced9722bf68301238887fd3c8 | 95,557 | py | Python | DexParse.py | liumengdeqq/DexParse | 769899e26f01700c690ed82c48790d1000efb5f1 | [
"Apache-2.0"
] | 16 | 2015-11-19T01:51:52.000Z | 2020-03-10T06:24:28.000Z | DexParse.py | CvvT/DexParse | 80c3f4a27e7163536f98584c5e7f7ec35a9451b8 | [
"Apache-2.0"
] | null | null | null | DexParse.py | CvvT/DexParse | 80c3f4a27e7163536f98584c5e7f7ec35a9451b8 | [
"Apache-2.0"
] | 22 | 2015-09-15T02:20:48.000Z | 2021-06-24T02:55:09.000Z | #! /usr/bin/python
# coding=utf-8
import struct
import os
import hashlib
import Instruction
Access_Flag = {'public': 1, 'private': 2, 'protected': 4, 'static': 8, 'final': 0x10,
'synchronized': 0x20, 'volatile': 0x40, 'bridge': 0x40, 'transient': 0x80,
'varargs': 0x80, 'native': ... | 40.958851 | 124 | 0.551744 | 84,445 | 0.883713 | 0 | 0 | 0 | 0 | 0 | 0 | 9,978 | 0.104419 |
fd71ae1315e427ea9c9874263b95024d2ffb8696 | 1,852 | py | Python | api/myapi/serializers.py | UmmuRasul/sbvbn | 3d4705b9eb5e6bc996028ecc0a8ec43a435ef18b | [
"MIT"
] | null | null | null | api/myapi/serializers.py | UmmuRasul/sbvbn | 3d4705b9eb5e6bc996028ecc0a8ec43a435ef18b | [
"MIT"
] | null | null | null | api/myapi/serializers.py | UmmuRasul/sbvbn | 3d4705b9eb5e6bc996028ecc0a8ec43a435ef18b | [
"MIT"
] | null | null | null | from rest_framework import serializers
from api.models import User, UserProfile, Post, News, Video
from datetime import datetime
class UserProfileSerializer(serializers.ModelSerializer):
class Meta:
model = UserProfile
fields = ('address', 'country', 'city', 'zip', 'photo')
class UserSerializer(... | 31.389831 | 83 | 0.665227 | 1,710 | 0.923326 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.113391 |
fd71c4f7dcacba2ce5484fe215f8d27faba98441 | 6,603 | py | Python | src/morphforgecontrib/simulation/channels/hh_style/neuron/mm_neuron_alphabetabeta.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | 1 | 2021-01-21T11:31:59.000Z | 2021-01-21T11:31:59.000Z | src/morphforgecontrib/simulation/channels/hh_style/neuron/mm_neuron_alphabetabeta.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | null | null | null | src/morphforgecontrib/simulation/channels/hh_style/neuron/mm_neuron_alphabetabeta.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Copyright (c) 2012 Michael Hull.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are m... | 33.015 | 123 | 0.69741 | 4,372 | 0.662123 | 0 | 0 | 0 | 0 | 0 | 0 | 1,878 | 0.284416 |
fd7312c0409e17edc8a594caad14c3eebd8edb1f | 5,344 | py | Python | cookie.py | cppchriscpp/fortune-cookie | 46e433e1ae06a8ad742b252d642f8620bde9e38b | [
"MIT"
] | null | null | null | cookie.py | cppchriscpp/fortune-cookie | 46e433e1ae06a8ad742b252d642f8620bde9e38b | [
"MIT"
] | null | null | null | cookie.py | cppchriscpp/fortune-cookie | 46e433e1ae06a8ad742b252d642f8620bde9e38b | [
"MIT"
] | null | null | null | import markovify
import re
import nltk
import os
import urllib.request
from shutil import copyfile
# We need a temporary(ish) place to store the data we retrieve.
# If you are running this in a docker container you may want to mount a volume and use it.
# Also be sure to make a symlink between it and the assets direc... | 36.60274 | 165 | 0.698915 | 342 | 0.063997 | 0 | 0 | 0 | 0 | 0 | 0 | 2,358 | 0.441243 |
fd76b6a6e3bed41850763cc3f44afdab15844d51 | 427 | py | Python | wsgi_microservice_middleware/__init__.py | presalytics/WSGI-Microservice-Middleware | 1dfcd1121d25569312d7c605d162cb52f38101e3 | [
"MIT"
] | 1 | 2020-08-13T05:31:01.000Z | 2020-08-13T05:31:01.000Z | wsgi_microservice_middleware/__init__.py | presalytics/WSGI-Microservice-Middleware | 1dfcd1121d25569312d7c605d162cb52f38101e3 | [
"MIT"
] | null | null | null | wsgi_microservice_middleware/__init__.py | presalytics/WSGI-Microservice-Middleware | 1dfcd1121d25569312d7c605d162cb52f38101e3 | [
"MIT"
] | null | null | null | import environs
env = environs.Env()
env.read_env()
from wsgi_microservice_middleware.cors import CORSMiddleware
from wsgi_microservice_middleware.request_id import (
RequestIdFilter,
RequestIdMiddleware,
current_request_id,
RequestIdJsonLogFormatter
)
__all__ = [
'CORSMiddleware',
'Re... | 17.791667 | 60 | 0.744731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0.236534 |
fd77738934a082ed69675adc328a1ec23a42bd8b | 686 | py | Python | car_manager.py | njiang6/turtle_crossing | 5445ca941bc53002299c60a0587d84f8a111f1be | [
"Apache-2.0"
] | 1 | 2021-03-24T02:21:03.000Z | 2021-03-24T02:21:03.000Z | car_manager.py | njiang6/turtle_crossing | 5445ca941bc53002299c60a0587d84f8a111f1be | [
"Apache-2.0"
] | null | null | null | car_manager.py | njiang6/turtle_crossing | 5445ca941bc53002299c60a0587d84f8a111f1be | [
"Apache-2.0"
] | null | null | null | import turtle as t
import random
COLORS = ["red", "orange", "yellow", "green", "blue", "purple"]
STARTING_MOVE_DISTANCE = 5
MOVE_INCREMENT = 1
def next_level():
global STARTING_MOVE_DISTANCE
STARTING_MOVE_DISTANCE += MOVE_INCREMENT
class CarManager(t.Turtle):
def __init__(self):
super().__init... | 23.655172 | 63 | 0.644315 | 440 | 0.641399 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.072886 |
fd78ccdbc7f44ee790bb4e0e5bb66afdadb94039 | 3,329 | py | Python | 2021/05_2/solution.py | budavariam/advent_of_code | 0903bcbb0df46371b6a340ca2be007dce6470c66 | [
"MIT"
] | null | null | null | 2021/05_2/solution.py | budavariam/advent_of_code | 0903bcbb0df46371b6a340ca2be007dce6470c66 | [
"MIT"
] | null | null | null | 2021/05_2/solution.py | budavariam/advent_of_code | 0903bcbb0df46371b6a340ca2be007dce6470c66 | [
"MIT"
] | 1 | 2022-02-11T13:14:50.000Z | 2022-02-11T13:14:50.000Z | """ Advent of code 2021 day 05 / 2 """
import math
from os import path
import re
from collections import Counter
class Code(object):
def __init__(self, lines):
self.lines = lines
def printmap(self, dim, minx, miny, maxx, maxy):
for i in range(miny, maxy + 1):
ln = ""
... | 31.40566 | 82 | 0.393812 | 2,533 | 0.760889 | 0 | 0 | 0 | 0 | 0 | 0 | 431 | 0.129468 |
fd7a3d5f8bd77ce667a1424c233439cb51d4d806 | 2,032 | py | Python | examples/plot_tissue_specific_corrections.py | imagejan/starfish | adf48f4b30cfdf44ac8c9cc78fc469665ce7d594 | [
"MIT"
] | null | null | null | examples/plot_tissue_specific_corrections.py | imagejan/starfish | adf48f4b30cfdf44ac8c9cc78fc469665ce7d594 | [
"MIT"
] | null | null | null | examples/plot_tissue_specific_corrections.py | imagejan/starfish | adf48f4b30cfdf44ac8c9cc78fc469665ce7d594 | [
"MIT"
] | null | null | null | """
Tissue Corrections
==================
"""
###################################################################################################
# .. _tutorial_removing_autoflourescence:
#
# Removing autofluorescence
# =========================
#
# In addition to the bright spots (signal) that we want to detect, micr... | 35.034483 | 102 | 0.599902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,301 | 0.640256 |
fd7a65079d9a251ce00ad45789e94722c4e7ad4e | 146 | py | Python | cru_alaska_temperature/__init__.py | sc0tts/cruAKtemp | 84dbfc424f5f36bb0f0055b5290f0ab2063ae225 | [
"MIT"
] | null | null | null | cru_alaska_temperature/__init__.py | sc0tts/cruAKtemp | 84dbfc424f5f36bb0f0055b5290f0ab2063ae225 | [
"MIT"
] | 7 | 2017-04-25T21:50:47.000Z | 2018-03-19T17:39:28.000Z | cru_alaska_temperature/__init__.py | sc0tts/cruAKtemp | 84dbfc424f5f36bb0f0055b5290f0ab2063ae225 | [
"MIT"
] | 2 | 2019-02-18T22:42:07.000Z | 2020-08-31T23:37:17.000Z | from .alaska_temperature import AlaskaTemperature
from .bmi import AlaskaTemperatureBMI
__all__ = ["AlaskaTemperature", "AlaskaTemperatureBMI"]
| 24.333333 | 55 | 0.835616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.280822 |
fd7b422625225dcfe35545919a8429eaaa584545 | 378 | py | Python | Qualification/1-ForegoneSolution/Solution.py | n1try/codejam-2019 | 3cedc74915eca7384adaf8f6a68eeb21ada1beaf | [
"MIT"
] | null | null | null | Qualification/1-ForegoneSolution/Solution.py | n1try/codejam-2019 | 3cedc74915eca7384adaf8f6a68eeb21ada1beaf | [
"MIT"
] | null | null | null | Qualification/1-ForegoneSolution/Solution.py | n1try/codejam-2019 | 3cedc74915eca7384adaf8f6a68eeb21ada1beaf | [
"MIT"
] | null | null | null | import re
t = int(input())
for i in range(0, t):
chars = input()
m1, m2 = [None] * len(chars), [None] * len(chars)
for j in range(0, len(chars)):
m1[j] = "3" if chars[j] == "4" else chars[j]
m2[j] = "1" if chars[j] == "4" else "0"
s1 = ''.join(m1)
s2 = ''.join(m2)
print("C... | 29.076923 | 70 | 0.457672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.116402 |
fd7bd590362f7ad441cb4aaacc481be5a9c4d64c | 1,645 | py | Python | 1.imdbData.py | batucimenn/imdbScraperOnWaybackMachine2 | e6d92b5c794a2603a05e986b587a796d2a80fd8d | [
"MIT"
] | null | null | null | 1.imdbData.py | batucimenn/imdbScraperOnWaybackMachine2 | e6d92b5c794a2603a05e986b587a796d2a80fd8d | [
"MIT"
] | null | null | null | 1.imdbData.py | batucimenn/imdbScraperOnWaybackMachine2 | e6d92b5c794a2603a05e986b587a796d2a80fd8d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# Scraper movies data from Imdb
# In[ ]:
import csv
import pandas as pd
# Year range to collect data.
# In[ ]:
startYear=int(input("startYear: "))
finishYear=int(input("finishYear: "))
# File path to save. Ex: C:\Users\User\Desktop\newFile
# In[ ]:
filePath = input("F... | 26.532258 | 117 | 0.570821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.303343 |
fd7c26cf48ae51b52e75c459ca5537852b6f4936 | 2,680 | py | Python | effective_python/metaclass_property/descriptor_demo.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 1 | 2018-12-19T22:07:56.000Z | 2018-12-19T22:07:56.000Z | effective_python/metaclass_property/descriptor_demo.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 12 | 2020-03-14T05:32:26.000Z | 2022-03-12T00:08:49.000Z | effective_python/metaclass_property/descriptor_demo.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 1 | 2018-12-19T22:08:00.000Z | 2018-12-19T22:08:00.000Z | """
@author: magician
@file: descriptor_demo.py
@date: 2020/1/14
"""
from weakref import WeakKeyDictionary
class Homework(object):
"""
Homework
"""
def __init__(self):
self._grade = 0
@property
def grade(self):
return self._grade
@grade.setter
def grade(self, valu... | 23.304348 | 65 | 0.596642 | 1,081 | 0.403358 | 0 | 0 | 225 | 0.083955 | 0 | 0 | 1,451 | 0.541418 |
fd7c5d171d30796fbb3b1df9d4223d6476d4d998 | 3,584 | py | Python | afk-q-babyai/babyai/layers/aggrerator.py | IouJenLiu/AFK | db2b47bb3a5614b61766114b87f143e4a61a4a8d | [
"MIT"
] | 1 | 2022-03-12T03:10:29.000Z | 2022-03-12T03:10:29.000Z | afk-q-babyai/babyai/layers/aggrerator.py | IouJenLiu/AFK | db2b47bb3a5614b61766114b87f143e4a61a4a8d | [
"MIT"
] | null | null | null | afk-q-babyai/babyai/layers/aggrerator.py | IouJenLiu/AFK | db2b47bb3a5614b61766114b87f143e4a61a4a8d | [
"MIT"
] | null | null | null | import torch
import numpy as np
import torch.nn.functional as F
def masked_softmax(x, m=None, axis=-1):
'''
x: batch x time x hid
m: batch x time (optional)
'''
x = torch.clamp(x, min=-15.0, max=15.0)
if m is not None:
m = m.float()
x = x * m
e_x = torch.exp(x - torch.max(x... | 41.195402 | 103 | 0.624163 | 3,098 | 0.864397 | 0 | 0 | 0 | 0 | 0 | 0 | 457 | 0.127511 |
fd816f646c55f1654d9547e1f480c4843279f30e | 707 | py | Python | analysis_llt/ml/cv/neighbors.py | Tammy-Lee/analysis-llt | ea1bb62d614bb75dac68c010a0cc524a5be185f2 | [
"MIT"
] | null | null | null | analysis_llt/ml/cv/neighbors.py | Tammy-Lee/analysis-llt | ea1bb62d614bb75dac68c010a0cc524a5be185f2 | [
"MIT"
] | null | null | null | analysis_llt/ml/cv/neighbors.py | Tammy-Lee/analysis-llt | ea1bb62d614bb75dac68c010a0cc524a5be185f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
create on 2019-03-20 04:17
author @lilia
"""
from sklearn.neighbors import KNeighborsClassifier
from analysis_llt.ml.cv.base import BaseCV
class KNNCV(BaseCV):
fit_predict_proba_ = False
def __init__(self, n_neighbors=5, cv=None, random_state=None, verbose=0, **model_params):
... | 29.458333 | 102 | 0.708628 | 535 | 0.756719 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.182461 |
fd8175ceff7997ec372ad498a63c3ba3b5e8e259 | 1,066 | py | Python | tests/test_oas_cache.py | maykinmedia/zgw-consumers | 9b0759d9b7c3590b245004afd4c5e5474785bf91 | [
"MIT"
] | 2 | 2021-04-25T11:29:33.000Z | 2022-03-08T14:06:58.000Z | tests/test_oas_cache.py | maykinmedia/zgw-consumers | 9b0759d9b7c3590b245004afd4c5e5474785bf91 | [
"MIT"
] | 27 | 2020-04-01T07:33:02.000Z | 2022-03-14T09:11:05.000Z | tests/test_oas_cache.py | maykinmedia/zgw-consumers | 9b0759d9b7c3590b245004afd4c5e5474785bf91 | [
"MIT"
] | 2 | 2020-07-30T15:40:47.000Z | 2020-11-30T10:56:29.000Z | import threading
from zds_client.oas import schema_fetcher
def test_schema_fetch_twice(oas):
schema = oas.fetch()
assert isinstance(schema, dict)
assert oas.mocker.call_count == 1
oas.fetch()
# check that the cache is used
assert oas.mocker.call_count == 1
def test_clear_caches_in_betwee... | 21.755102 | 82 | 0.684803 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 217 | 0.203565 |
fd81f57132ba4b8e36862c9d9eb8179dcba9623a | 4,165 | py | Python | src/uproot_browser/tree.py | amangoel185/uproot-browser | 8181913ac04d0318b05256923d8980d6d3acaa7f | [
"BSD-3-Clause"
] | 12 | 2022-03-18T11:47:26.000Z | 2022-03-25T13:57:08.000Z | src/uproot_browser/tree.py | amangoel185/uproot-browser | 8181913ac04d0318b05256923d8980d6d3acaa7f | [
"BSD-3-Clause"
] | 7 | 2022-03-18T11:40:36.000Z | 2022-03-29T22:15:01.000Z | src/uproot_browser/tree.py | amangoel185/uproot-browser | 8181913ac04d0318b05256923d8980d6d3acaa7f | [
"BSD-3-Clause"
] | 1 | 2022-03-21T14:37:07.000Z | 2022-03-21T14:37:07.000Z | """
Display tools for TTrees.
"""
from __future__ import annotations
import dataclasses
import functools
from pathlib import Path
from typing import Any, Dict
import uproot
from rich.console import Console
from rich.markup import escape
from rich.text import Text
from rich.tree import Tree
console = Console()
__al... | 25.090361 | 90 | 0.623049 | 650 | 0.155391 | 0 | 0 | 3,006 | 0.718623 | 0 | 0 | 1,253 | 0.299546 |
fd83d8e2ff034305d143f2f77d3ed14a017cf93e | 5,256 | py | Python | backend/apps/tasks/models.py | HerlanAssis/simple-project-manager | 800c833ec0cbeba848264753d79c5ecedc54cc39 | [
"MIT"
] | 1 | 2019-06-14T20:34:19.000Z | 2019-06-14T20:34:19.000Z | backend/apps/tasks/models.py | HerlanAssis/simple-project-manager | 800c833ec0cbeba848264753d79c5ecedc54cc39 | [
"MIT"
] | 3 | 2020-02-11T23:42:20.000Z | 2020-06-25T17:35:48.000Z | backend/apps/tasks/models.py | HerlanAssis/simple-project-manager | 800c833ec0cbeba848264753d79c5ecedc54cc39 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from django.db.models.signals import post_save
from django.dispatch import receiver
from apps.core.models import BaseModel
from apps.core.utils import HASH_MAX_LENGTH, create_hash, truncate
from django.utils.encoding import python_2_unicode_compat... | 30.917647 | 145 | 0.68398 | 4,435 | 0.843316 | 0 | 0 | 4,654 | 0.884959 | 0 | 0 | 313 | 0.059517 |
fd84a04d43460db0ba028f9e178dd3ce7cffe504 | 2,650 | py | Python | eland/tests/dataframe/test_aggs_pytest.py | redNixon/eland | 1b9cb1db6d30f0662fe3679c7bb31e2c0865f0c3 | [
"Apache-2.0"
] | null | null | null | eland/tests/dataframe/test_aggs_pytest.py | redNixon/eland | 1b9cb1db6d30f0662fe3679c7bb31e2c0865f0c3 | [
"Apache-2.0"
] | null | null | null | eland/tests/dataframe/test_aggs_pytest.py | redNixon/eland | 1b9cb1db6d30f0662fe3679c7bb31e2c0865f0c3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Elasticsearch BV
#
# 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 applicabl... | 37.323944 | 86 | 0.672075 | 1,859 | 0.701509 | 0 | 0 | 0 | 0 | 0 | 0 | 988 | 0.37283 |
fd8681cae85c92327aba29d9f6d3628698abb698 | 1,811 | py | Python | frootspi_examples/launch/conductor.launch.py | SSL-Roots/FrootsPi | 3aff59342a9d3254d8b089b66aeeed59bcb66c7b | [
"Apache-2.0"
] | 2 | 2021-11-27T10:57:01.000Z | 2021-11-27T11:25:52.000Z | frootspi_examples/launch/conductor.launch.py | SSL-Roots/FrootsPi | 3aff59342a9d3254d8b089b66aeeed59bcb66c7b | [
"Apache-2.0"
] | 1 | 2018-07-31T13:29:57.000Z | 2018-07-31T13:36:50.000Z | frootspi_examples/launch/conductor.launch.py | SSL-Roots/FrootsPi | 3aff59342a9d3254d8b089b66aeeed59bcb66c7b | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Roots
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwa... | 34.826923 | 81 | 0.703479 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 837 | 0.461666 |
fd876869a60981b01094fa1c90ddae1cb851c885 | 1,639 | py | Python | src/vnf/l23filter/controllers/InitializeDbController.py | shield-h2020/vnsfs | 864bdd418d3910b86783044be94d2bdb07e95aec | [
"Apache-2.0"
] | 2 | 2018-11-06T17:55:56.000Z | 2021-02-09T07:40:17.000Z | src/vnf/l23filter/controllers/InitializeDbController.py | shield-h2020/vnsfs | 864bdd418d3910b86783044be94d2bdb07e95aec | [
"Apache-2.0"
] | null | null | null | src/vnf/l23filter/controllers/InitializeDbController.py | shield-h2020/vnsfs | 864bdd418d3910b86783044be94d2bdb07e95aec | [
"Apache-2.0"
] | 4 | 2018-03-28T18:06:26.000Z | 2021-07-17T00:33:55.000Z | import logging
from sqlalchemy import create_engine, event
from configuration import config as cnf
from helpers.DbHelper import on_connect, db_session, assert_database_type
from models import Base, Flow
# from models.depreciated import Metric
logging.basicConfig()
logging.getLogger('sqlalchemy.engine').setLevel(logg... | 26.015873 | 73 | 0.649786 | 1,303 | 0.794997 | 0 | 0 | 0 | 0 | 0 | 0 | 503 | 0.306894 |
fd88ba06d62178ae22d727dfd3879ac3e980173e | 166 | py | Python | tests/web_platform/css_flexbox_1/test_flexbox_flex_1_1_Npercent.py | fletchgraham/colosseum | 77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f | [
"BSD-3-Clause"
] | null | null | null | tests/web_platform/css_flexbox_1/test_flexbox_flex_1_1_Npercent.py | fletchgraham/colosseum | 77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f | [
"BSD-3-Clause"
] | null | null | null | tests/web_platform/css_flexbox_1/test_flexbox_flex_1_1_Npercent.py | fletchgraham/colosseum | 77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f | [
"BSD-3-Clause"
] | 1 | 2020-01-16T01:56:41.000Z | 2020-01-16T01:56:41.000Z | from tests.utils import W3CTestCase
class TestFlexbox_Flex11Npercent(W3CTestCase):
vars().update(W3CTestCase.find_tests(__file__, 'flexbox_flex-1-1-Npercent'))
| 27.666667 | 80 | 0.807229 | 127 | 0.76506 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.162651 |
fd88c78266fc4209a289fbc25268f76bce338838 | 150 | py | Python | frontends/python/tests/analysis/constant_attribute.py | aardwolf-sfl/aardwolf | 33bfe3e0649a73aec7efa0fa80bff8077b550bd0 | [
"MIT"
] | 2 | 2020-08-15T08:55:39.000Z | 2020-11-09T17:31:16.000Z | frontends/python/tests/analysis/constant_attribute.py | aardwolf-sfl/aardwolf | 33bfe3e0649a73aec7efa0fa80bff8077b550bd0 | [
"MIT"
] | null | null | null | frontends/python/tests/analysis/constant_attribute.py | aardwolf-sfl/aardwolf | 33bfe3e0649a73aec7efa0fa80bff8077b550bd0 | [
"MIT"
] | null | null | null | # AARD: function: __main__
# AARD: #1:1 -> :: defs: %1 / uses: [@1 4:1-4:22] { call }
'value: {}'.format(3)
# AARD: @1 = constant_attribute.py
| 21.428571 | 63 | 0.546667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.893333 |
fd88d6da1a9e31351274cdc8c9d06c97bd2fa421 | 884 | py | Python | rl_server/tensorflow/networks/layer_norm.py | parilo/tars-rl | 17595905a0d1bdc90fe3d8f793acb60de96ea897 | [
"MIT"
] | 9 | 2019-03-11T11:02:12.000Z | 2022-03-10T12:53:25.000Z | rl_server/tensorflow/networks/layer_norm.py | parilo/tars-rl | 17595905a0d1bdc90fe3d8f793acb60de96ea897 | [
"MIT"
] | 1 | 2021-01-06T20:18:33.000Z | 2021-01-06T20:19:53.000Z | rl_server/tensorflow/networks/layer_norm.py | parilo/tars-rl | 17595905a0d1bdc90fe3d8f793acb60de96ea897 | [
"MIT"
] | 3 | 2019-01-19T03:32:26.000Z | 2020-11-29T18:15:57.000Z | from tensorflow.python.keras.layers import Layer
from tensorflow.python.keras import backend as K
class LayerNorm(Layer):
def __init__(self, axis=-1, eps=1e-6, **kwargs):
self.axis = axis
self.eps = eps
super(LayerNorm, self).__init__(**kwargs)
def build(self, input_shape):
i... | 34 | 90 | 0.645928 | 783 | 0.885747 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.029412 |