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de4f23bfb5a827684724b1fa6940e53745dbb142 | 1,166 | py | Python | krpc_client.py | janismac/ksp_rtls_launch_to_rendezvous | 195ebfb5aacf1a857aaaf0a69bf071d93d887efd | [
"Apache-2.0"
] | 1 | 2020-11-07T15:53:19.000Z | 2020-11-07T15:53:19.000Z | krpc_client.py | janismac/ksp_rtls_launch_to_rendezvous | 195ebfb5aacf1a857aaaf0a69bf071d93d887efd | [
"Apache-2.0"
] | null | null | null | krpc_client.py | janismac/ksp_rtls_launch_to_rendezvous | 195ebfb5aacf1a857aaaf0a69bf071d93d887efd | [
"Apache-2.0"
] | 1 | 2020-11-07T15:56:06.000Z | 2020-11-07T15:56:06.000Z | import sys
import subprocess
import time
import json
import krpc
import math
import scipy.integrate
import numpy as np
from PrePlanningChecklist import PrePlanningChecklist
from PlannerUiPanel import PlannerUiPanel
from MainUiPanel import MainUiPanel
from ConfigUiPanel import ConfigUiPanel
from AutopilotUiPanel import ... | 25.911111 | 76 | 0.736707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.04717 |
de4fbddd1a8e5c3c47f15c39acb99e707f22e65b | 617 | py | Python | src/alerter.py | Jawgo/DiscordBot | 43dccce80aa8d8bd51b44c0de732fd70d9194672 | [
"MIT"
] | null | null | null | src/alerter.py | Jawgo/DiscordBot | 43dccce80aa8d8bd51b44c0de732fd70d9194672 | [
"MIT"
] | null | null | null | src/alerter.py | Jawgo/DiscordBot | 43dccce80aa8d8bd51b44c0de732fd70d9194672 | [
"MIT"
] | null | null | null | import os
from discord import Webhook, RequestsWebhookAdapter, Colour, Embed
def send_alert(item):
hook = os.environ.get("WEB_HOOK")
webhook = Webhook.from_url(hook, adapter=RequestsWebhookAdapter())
embedVar = Embed(title="Stock Hunter")
if item.in_stock:
embedVar.description = "{} **IN STOC... | 36.294118 | 110 | 0.666126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.139384 |
de50a4c4fb04e2350cc10caa2aea9a7a75fcac8c | 4,593 | py | Python | dataset_preproc/preproc_video/face_extract.py | RicardoP0/multimodal-matchmap | aa44c574a57073833004172734394882889d8d3b | [
"MIT"
] | null | null | null | dataset_preproc/preproc_video/face_extract.py | RicardoP0/multimodal-matchmap | aa44c574a57073833004172734394882889d8d3b | [
"MIT"
] | null | null | null | dataset_preproc/preproc_video/face_extract.py | RicardoP0/multimodal-matchmap | aa44c574a57073833004172734394882889d8d3b | [
"MIT"
] | null | null | null | #%%
#https://github.com/timesler/facenet-pytorch
from facenet_pytorch import MTCNN, extract_face
import torch
import numpy as np
import mmcv, cv2
import os
import matplotlib.pyplot as plt
from PIL import Image
# %%
#%%
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print('Running on... | 29.254777 | 95 | 0.642717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,231 | 0.268017 |
de51709d96e27d7e3576d5ee6ad6f2ebabdc7ebc | 1,441 | py | Python | launch/gazebo.launch.py | fly4future/fog_gazebo_resources | 1af1aa2d3a5e7c67bf39605655ca96a154daa4b3 | [
"BSD-3-Clause"
] | null | null | null | launch/gazebo.launch.py | fly4future/fog_gazebo_resources | 1af1aa2d3a5e7c67bf39605655ca96a154daa4b3 | [
"BSD-3-Clause"
] | null | null | null | launch/gazebo.launch.py | fly4future/fog_gazebo_resources | 1af1aa2d3a5e7c67bf39605655ca96a154daa4b3 | [
"BSD-3-Clause"
] | null | null | null | """Launch Gazebo server and client with command line arguments."""
from launch import LaunchDescription
from launch.substitutions import LaunchConfiguration
from launch.actions import DeclareLaunchArgument
from launch.actions import IncludeLaunchDescription
from launch.actions import ExecuteProcess
from launch.conditi... | 38.945946 | 117 | 0.696738 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 314 | 0.217904 |
de5241403b212e20d0b5a9c1eb86d5461e49bad7 | 957 | py | Python | hlrl/torch/utils/contexts/training.py | Chainso/HLRL | 584f4ed2fa4d8b311a21dbd862ec9434833dd7cd | [
"MIT"
] | null | null | null | hlrl/torch/utils/contexts/training.py | Chainso/HLRL | 584f4ed2fa4d8b311a21dbd862ec9434833dd7cd | [
"MIT"
] | null | null | null | hlrl/torch/utils/contexts/training.py | Chainso/HLRL | 584f4ed2fa4d8b311a21dbd862ec9434833dd7cd | [
"MIT"
] | null | null | null | from contextlib import contextmanager
import torch.nn as nn
@contextmanager
def evaluate(module: nn.Module):
"""
A context manager for evaluating the module.
Args:
module: The module to switch to evaluating in the context.
Returns:
A generator for the context of the module.
"""
... | 20.804348 | 66 | 0.6186 | 0 | 0 | 860 | 0.898642 | 892 | 0.932079 | 0 | 0 | 474 | 0.495298 |
de53cfe343832488633720622d964252c48b5617 | 3,180 | py | Python | test/test_postfix.py | JoseTomasTocino/toptal-calculator | baeb69fdeca81699d655e1f2f11f03f2a3972ab7 | [
"Unlicense"
] | null | null | null | test/test_postfix.py | JoseTomasTocino/toptal-calculator | baeb69fdeca81699d655e1f2f11f03f2a3972ab7 | [
"Unlicense"
] | null | null | null | test/test_postfix.py | JoseTomasTocino/toptal-calculator | baeb69fdeca81699d655e1f2f11f03f2a3972ab7 | [
"Unlicense"
] | null | null | null | import unittest
from calculator import tokens, evaluator
from calculator.parser import tokenize, infix_to_postfix
class MyTestPostfixCase(unittest.TestCase):
def test_simple_operator(self):
expression = "2 + 1"
computed_token_list = tokenize(expression)
postfix_token_list = infix_to_postf... | 31.485149 | 70 | 0.646226 | 3,062 | 0.962893 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.031447 |
de55352cff35ae8596924966eb4c23a46054b461 | 1,124 | py | Python | Weather API/app.py | TanushreeShaw/Weather | 0bebe029536f579bbd9d28c07d3e33f3438a1a56 | [
"MIT"
] | null | null | null | Weather API/app.py | TanushreeShaw/Weather | 0bebe029536f579bbd9d28c07d3e33f3438a1a56 | [
"MIT"
] | null | null | null | Weather API/app.py | TanushreeShaw/Weather | 0bebe029536f579bbd9d28c07d3e33f3438a1a56 | [
"MIT"
] | null | null | null | from flask import Flask,
render_template, request
import requests
import json
import os
app = Flask(__name__)
picfolder = os.path.join('static','pics')
app.config['UPLOAD_FOLDER'] = picfolder
@app.route('/temperature', methods=['POST'])
def temperature():
pic1 = os.path.join(app.config['UPLO... | 33.058824 | 152 | 0.670819 | 0 | 0 | 0 | 0 | 847 | 0.753559 | 0 | 0 | 291 | 0.258897 |
de559c2b5884fa9c7d514b793b602e0875f672ea | 561 | py | Python | core/urls.py | cybernetisk/internsystem | b81faa0deef08153032e56d5740173e5a6cf3ad9 | [
"MIT"
] | null | null | null | core/urls.py | cybernetisk/internsystem | b81faa0deef08153032e56d5740173e5a6cf3ad9 | [
"MIT"
] | 38 | 2017-12-21T10:10:54.000Z | 2022-03-07T20:54:37.000Z | core/urls.py | cybernetisk/internsystem | b81faa0deef08153032e56d5740173e5a6cf3ad9 | [
"MIT"
] | 6 | 2018-06-01T21:04:34.000Z | 2020-01-14T15:26:26.000Z | from django.conf.urls import url
from core.views import me
from core.rest import CardViewSet, UserViewSet, NfcCardViewSet, GroupViewSet
from core.utils import SharedAPIRootRouter
# SharedAPIRootRouter is automatically imported in global urls config
router = SharedAPIRootRouter()
router.register(r"core/users", UserVie... | 33 | 76 | 0.787879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.279857 |
de5df9efa200676cbee6ac7078451697101f76eb | 2,931 | py | Python | flora_tools/experiments/measure_time_irq_process.py | Atokulus/flora-tools | 6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0 | [
"MIT"
] | 1 | 2020-11-20T16:36:17.000Z | 2020-11-20T16:36:17.000Z | flora_tools/experiments/measure_time_irq_process.py | Atokulus/flora-tools | 6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0 | [
"MIT"
] | null | null | null | flora_tools/experiments/measure_time_irq_process.py | Atokulus/flora-tools | 6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0 | [
"MIT"
] | null | null | null | from flora_tools.experiment import *
class MeasureTimeIRQProcess(Experiment):
def __init__(self):
description = "Measures the time needed for an IRQ to be processed."
Experiment.__init__(self, description)
def run(self, bench, iterations=10000):
self.iterations = iterations
... | 37.576923 | 111 | 0.588536 | 2,891 | 0.986353 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.070966 |
de5e91c132fdc9f05dd13b11b8708a82b0c0f470 | 213 | py | Python | 6P/REDES/restAPI/main/serializers.py | rwnicholas/fluffy-potato | 52ccd25cf77f8cebce1420e7fe9028a277811986 | [
"MIT"
] | null | null | null | 6P/REDES/restAPI/main/serializers.py | rwnicholas/fluffy-potato | 52ccd25cf77f8cebce1420e7fe9028a277811986 | [
"MIT"
] | null | null | null | 6P/REDES/restAPI/main/serializers.py | rwnicholas/fluffy-potato | 52ccd25cf77f8cebce1420e7fe9028a277811986 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from main.models import Suco
class SucoSerializer(serializers.ModelSerializer):
class Meta:
model = Suco
fields = ('nome', 'litros', 'link', 'qtd_disp')
| 26.625 | 55 | 0.704225 | 143 | 0.671362 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.140845 |
de5f40f2fa117e9d234c38567381795609e6e892 | 183 | py | Python | gpytorch/kernels/keops/__init__.py | wjmaddox/gpytorch | 679f437fa71f8e15d98b3d256924ecf4b52c0448 | [
"MIT"
] | 1 | 2019-09-16T16:58:54.000Z | 2019-09-16T16:58:54.000Z | gpytorch/kernels/keops/__init__.py | wjmaddox/gpytorch | 679f437fa71f8e15d98b3d256924ecf4b52c0448 | [
"MIT"
] | null | null | null | gpytorch/kernels/keops/__init__.py | wjmaddox/gpytorch | 679f437fa71f8e15d98b3d256924ecf4b52c0448 | [
"MIT"
] | null | null | null | from .matern_kernel import MaternKernel
from .rbf_kernel import RBFKernel
from .spectralgp_kernel import SpectralGPKernel
__all__ = ["MaternKernel", "RBFKernel", "SpectralGPKernel"]
| 30.5 | 59 | 0.825137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.234973 |
de61a2c63bd8bf8c89dfa8db3b212f5ada8c9268 | 271 | py | Python | bc/recruitment/migrations/0018_merge_20200324_1630.py | Buckinghamshire-Digital-Service/buckinghamshire-council | bbbdb52b515bcdfc79a2bd9198dfa4828405370e | [
"BSD-3-Clause"
] | 1 | 2021-02-27T07:27:17.000Z | 2021-02-27T07:27:17.000Z | bc/recruitment/migrations/0018_merge_20200324_1630.py | Buckinghamshire-Digital-Service/buckinghamshire-council | bbbdb52b515bcdfc79a2bd9198dfa4828405370e | [
"BSD-3-Clause"
] | null | null | null | bc/recruitment/migrations/0018_merge_20200324_1630.py | Buckinghamshire-Digital-Service/buckinghamshire-council | bbbdb52b515bcdfc79a2bd9198dfa4828405370e | [
"BSD-3-Clause"
] | 1 | 2021-06-09T15:56:54.000Z | 2021-06-09T15:56:54.000Z | # Generated by Django 2.2.10 on 2020-03-24 16:30
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("recruitment", "0017_merge_20200318_1104"),
("recruitment", "0013_image_block"),
]
operations = []
| 19.357143 | 52 | 0.664207 | 185 | 0.682657 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.435424 |
de61aeb69172f0bbf84a85482ba65c30efe863a2 | 1,901 | py | Python | main.py | SHGoldfarb/fantastic-barnacle | 64650155ef8172530a6f88be6e7361bfc7e6bfa2 | [
"MIT"
] | null | null | null | main.py | SHGoldfarb/fantastic-barnacle | 64650155ef8172530a6f88be6e7361bfc7e6bfa2 | [
"MIT"
] | null | null | null | main.py | SHGoldfarb/fantastic-barnacle | 64650155ef8172530a6f88be6e7361bfc7e6bfa2 | [
"MIT"
] | null | null | null | import requests
import os
from datetime import datetime
import pandas as pd
def ensure_folder_exists(foldername):
try:
# Create tmp folder
os.mkdir(foldername)
print("Directory created: " + foldername)
except FileExistsError:
pass
def download_and_save(url, filename):
pri... | 23.7625 | 78 | 0.711731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 373 | 0.196213 |
de6435cdbc67360ee94636dc50bd704495e2b720 | 382 | py | Python | dump/yoloCarAccident/generate.py | lovishchopra/ITRI-Car-Accident | 96a1ffa25eacfb2885ea1fa0852a91c8bb5ec95d | [
"MIT"
] | null | null | null | dump/yoloCarAccident/generate.py | lovishchopra/ITRI-Car-Accident | 96a1ffa25eacfb2885ea1fa0852a91c8bb5ec95d | [
"MIT"
] | null | null | null | dump/yoloCarAccident/generate.py | lovishchopra/ITRI-Car-Accident | 96a1ffa25eacfb2885ea1fa0852a91c8bb5ec95d | [
"MIT"
] | null | null | null | import os
import yoloCarAccident as yc
# yc.find('test.txt')
f1 = open('result2.txt','r')
i = 0
s = ""
for lines in f1:
if(i<80000):
s += lines
i+=1
else:
f2 = open('test.txt','w')
f2.write(s)
f2.close()
try:
yc.find('test.txt')
except ValueError:
pass
s = ""
i = 0
# break
# f2 = open('t... | 13.172414 | 28 | 0.557592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.376963 |
de65eb26862ea6588043a83de4e49020ae4daf2c | 1,853 | py | Python | socketserver_extra.py | sim642/pyqwebirc | cd0cc120eacd3eea60b827ff7b2b157ab4a5dd1e | [
"MIT"
] | null | null | null | socketserver_extra.py | sim642/pyqwebirc | cd0cc120eacd3eea60b827ff7b2b157ab4a5dd1e | [
"MIT"
] | 2 | 2017-01-04T18:24:00.000Z | 2017-01-04T18:50:32.000Z | socketserver_extra.py | sim642/pyqwebirc | cd0cc120eacd3eea60b827ff7b2b157ab4a5dd1e | [
"MIT"
] | null | null | null | import socketserver
import socket
class TextStreamRequestHandler(socketserver.BaseRequestHandler):
"""Define textual self.rfile and self.wfile for stream sockets."""
# Default buffer sizes for rfile, wfile.
# We default rfile to buffered because otherwise it could be
# really slow for large data (a g... | 33.089286 | 88 | 0.652455 | 1,811 | 0.977334 | 0 | 0 | 0 | 0 | 0 | 0 | 679 | 0.366433 |
de681128c0eb4ded13f92d6720603223e15efc17 | 4,560 | py | Python | train_n_test/train_decoder.py | kamieen03/style-transfer-net | c9f56aa579553be8c72f37ce975ba88dbd775605 | [
"BSD-2-Clause"
] | 2 | 2019-12-14T14:59:22.000Z | 2020-01-30T16:17:28.000Z | train_n_test/train_decoder.py | kamieen03/style-transfer-net | c9f56aa579553be8c72f37ce975ba88dbd775605 | [
"BSD-2-Clause"
] | null | null | null | train_n_test/train_decoder.py | kamieen03/style-transfer-net | c9f56aa579553be8c72f37ce975ba88dbd775605 | [
"BSD-2-Clause"
] | 1 | 2020-01-16T20:03:35.000Z | 2020-01-16T20:03:35.000Z | #!/usr/bin/env python3
import os, sys
sys.path.append(os.path.abspath(__file__ + "/../../")) # just so we can use 'libs'
import torch.utils.data
import torch.optim as optim
from torch import nn
import numpy as np
import torch
from libs.Loader import Dataset
from libs.shufflenetv2 import ShuffleNetV2AutoEncoder
BA... | 35.905512 | 84 | 0.53114 | 3,979 | 0.872588 | 0 | 0 | 0 | 0 | 0 | 0 | 1,236 | 0.271053 |
de69814605b1835959a1ffdafc1b9774d60d18ad | 75 | py | Python | utils/__init__.py | bitst0rm-st3/AutomaticPackageReloader | b48699420ccadb3c1a8796a1a7275f70089f0934 | [
"MIT"
] | null | null | null | utils/__init__.py | bitst0rm-st3/AutomaticPackageReloader | b48699420ccadb3c1a8796a1a7275f70089f0934 | [
"MIT"
] | null | null | null | utils/__init__.py | bitst0rm-st3/AutomaticPackageReloader | b48699420ccadb3c1a8796a1a7275f70089f0934 | [
"MIT"
] | null | null | null | from .progress_bar import ProgressBar
from .read_config import read_config
| 25 | 37 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de6c1a64c58a8aca902a8fc78dd2204b84031a65 | 2,871 | py | Python | src/main/create/c_chains_user_json.py | WikiCommunityHealth/wikimedia-revert | b584044d8b6a61a79d98656db356bf1f74d23ee0 | [
"MIT"
] | null | null | null | src/main/create/c_chains_user_json.py | WikiCommunityHealth/wikimedia-revert | b584044d8b6a61a79d98656db356bf1f74d23ee0 | [
"MIT"
] | null | null | null | src/main/create/c_chains_user_json.py | WikiCommunityHealth/wikimedia-revert | b584044d8b6a61a79d98656db356bf1f74d23ee0 | [
"MIT"
] | null | null | null |
#%%
# PAGE EXAMPLE
# {'title': 'Zuppa_di_pesce_(film)',
# 'chains': [{'revisions': ['95861493', '95861612', '95973728'],
# 'users': {'93.44.99.33': '', 'Kirk39': '63558', 'AttoBot': '482488'},
# 'len': 3,
# 'start': '2018-04-01 04:54:40.0',
# 'end': '2018-04-05 07:36:26.0'}],
# 'n_chains': 1,
# 'n_rever... | 26.1 | 183 | 0.563915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 887 | 0.308952 |
de6c4ab063a946c3b3fd6bbb89fa20997b2be723 | 5,105 | py | Python | src/carts/views.py | dhaval6552/ecommerce-2 | ab80fbbf15c0fbd37db94cfd7aa9a3ac0b46c737 | [
"MIT"
] | null | null | null | src/carts/views.py | dhaval6552/ecommerce-2 | ab80fbbf15c0fbd37db94cfd7aa9a3ac0b46c737 | [
"MIT"
] | null | null | null | src/carts/views.py | dhaval6552/ecommerce-2 | ab80fbbf15c0fbd37db94cfd7aa9a3ac0b46c737 | [
"MIT"
] | null | null | null | from django.contrib.auth.forms import AuthenticationForm
from django.core.urlresolvers import reverse
from django.views.generic.base import View
from django.views.generic.detail import SingleObjectMixin,DetailView
from django.shortcuts import render,get_object_or_404,redirect
from django.http import HttpResponseRedirec... | 33.807947 | 92 | 0.582174 | 4,563 | 0.89383 | 0 | 0 | 0 | 0 | 0 | 0 | 416 | 0.081489 |
de71e1c800cd0628725b2dd49b907881044e1b6d | 721 | py | Python | Python/PythonCgiMock03/src/maincgi/test/TestCgiMainXml.py | tduoth/JsObjects | eb3e2a8b1f47d0da53c8b1a85a7949269711932f | [
"MIT"
] | 22 | 2015-02-26T09:07:18.000Z | 2020-05-10T16:22:05.000Z | Python/PythonCgiMock03/src/maincgi/test/TestCgiMainXml.py | tduoth/JsObjects | eb3e2a8b1f47d0da53c8b1a85a7949269711932f | [
"MIT"
] | 123 | 2016-04-05T18:32:41.000Z | 2022-03-13T21:09:21.000Z | Python/PythonCgiMock03/src/maincgi/test/TestCgiMainXml.py | tduoth/JsObjects | eb3e2a8b1f47d0da53c8b1a85a7949269711932f | [
"MIT"
] | 56 | 2015-03-19T22:26:37.000Z | 2021-12-06T02:52:02.000Z | #!/usr/bin/python
'''
Created on May 23, 2012
@author: Charlie
'''
import unittest
from mock import patch
import xml.etree.ElementTree as ET
from TestCgiMainBase import TestCgiMainBase
@patch('cgi.FieldStorage')
class TestCgiMainXml(TestCgiMainBase):
def tearDown(self):
pass
def testName(self, MockC... | 24.862069 | 71 | 0.647712 | 455 | 0.631068 | 0 | 0 | 482 | 0.668516 | 0 | 0 | 181 | 0.25104 |
de725902f24523dc4f0cb06e33505cadc76a710c | 38,783 | py | Python | pysim/epcstd.py | larioandr/thesis-rfidsim | 6a5b3ef02964ff2d49bf5dae55af270801af28a5 | [
"MIT"
] | null | null | null | pysim/epcstd.py | larioandr/thesis-rfidsim | 6a5b3ef02964ff2d49bf5dae55af270801af28a5 | [
"MIT"
] | null | null | null | pysim/epcstd.py | larioandr/thesis-rfidsim | 6a5b3ef02964ff2d49bf5dae55af270801af28a5 | [
"MIT"
] | null | null | null | from enum import Enum
import random
import collections
import numpy as np
#
#######################################################################
# Data Types
#######################################################################
#
class DivideRatio(Enum):
DR_8 = ('0', 8.0, '8')
DR_643 = ('1', 64.0/3, '64/... | 30.610103 | 79 | 0.592682 | 17,220 | 0.444009 | 0 | 0 | 3,536 | 0.091174 | 0 | 0 | 4,631 | 0.119408 |
de72e8f348089a00d8a491df1f651cf4a945ca9c | 1,500 | py | Python | Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py | dingwenzheng730/Leet | c08bd48e8dcc6bca41134d218d39f66bfc112eaf | [
"MIT"
] | 1 | 2021-06-15T21:01:53.000Z | 2021-06-15T21:01:53.000Z | Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py | dingwenzheng730/Leet | c08bd48e8dcc6bca41134d218d39f66bfc112eaf | [
"MIT"
] | null | null | null | Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py | dingwenzheng730/Leet | c08bd48e8dcc6bca41134d218d39f66bfc112eaf | [
"MIT"
] | null | null | null | '''
Given an n x n matrix where each of the rows and columns are sorted in ascending order, return the kth smallest element in the matrix.
Note that it is the kth smallest element in the sorted order, not the kth distinct element.
Input: matrix = [[1,5,9],[10,11,13],[12,13,15]], k = 8
Output: 13
Explanation: The elem... | 24.193548 | 134 | 0.611333 | 439 | 0.292667 | 0 | 0 | 0 | 0 | 0 | 0 | 1,050 | 0.7 |
de73b0477272b09621a0a7e87406fe9c6c2a1f06 | 5,088 | py | Python | baseStation/test/vision/service/test_visionService.py | olgam4/design3 | 6e05d123a24deae7dda646df535844a158ef5cc0 | [
"WTFPL"
] | null | null | null | baseStation/test/vision/service/test_visionService.py | olgam4/design3 | 6e05d123a24deae7dda646df535844a158ef5cc0 | [
"WTFPL"
] | null | null | null | baseStation/test/vision/service/test_visionService.py | olgam4/design3 | 6e05d123a24deae7dda646df535844a158ef5cc0 | [
"WTFPL"
] | null | null | null | from unittest import TestCase
from unittest.mock import Mock
import numpy as np
from pathfinding.domain.angle import Angle
from pathfinding.domain.coord import Coord
from vision.domain.image import Image
from vision.domain.rectangle import Rectangle
from vision.infrastructure.cvVisionException import CameraDoesNotExi... | 45.428571 | 117 | 0.725825 | 4,702 | 0.924135 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.002948 |
de758aaeb7ae98b14c58fbe707173fad48237087 | 8,753 | py | Python | bmdal/layer_features.py | dholzmueller/bmdal_reg | 1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf | [
"Apache-2.0"
] | 3 | 2022-03-19T21:30:10.000Z | 2022-03-30T08:20:48.000Z | bmdal/layer_features.py | dholzmueller/bmdal_reg | 1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf | [
"Apache-2.0"
] | null | null | null | bmdal/layer_features.py | dholzmueller/bmdal_reg | 1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf | [
"Apache-2.0"
] | null | null | null | from .feature_maps import *
import torch.nn as nn
class LayerGradientComputation:
"""
Abstract base class that can be used as a second base class
for layers that support the computation of gradient features
"""
def __init__(self):
super().__init__() # in case this is used with multiple i... | 44.207071 | 118 | 0.682052 | 7,733 | 0.883469 | 0 | 0 | 0 | 0 | 0 | 0 | 4,250 | 0.485548 |
de759ba42ef02e88463fee41b02959bd0f0ddd2c | 35,389 | py | Python | pinsey/gui/MainWindow.py | RailKill/Pinsey | 72a283e6c5683b27918b511d80e45c3af4e67539 | [
"MIT"
] | 3 | 2021-02-01T06:47:06.000Z | 2022-01-09T05:54:35.000Z | pinsey/gui/MainWindow.py | RailKill/Pinsey | 72a283e6c5683b27918b511d80e45c3af4e67539 | [
"MIT"
] | 4 | 2019-10-23T09:52:36.000Z | 2022-03-11T23:17:23.000Z | pinsey/gui/MainWindow.py | RailKill/Pinsey | 72a283e6c5683b27918b511d80e45c3af4e67539 | [
"MIT"
] | null | null | null | from configparser import ConfigParser
from configparser import DuplicateSectionError
from PyQt5 import QtCore, QtGui, QtWidgets
from pinsey import Constants
from pinsey.Utils import clickable, center, picture_grid, horizontal_line, resolve_message_sender, name_set, windows
from pinsey.gui.MessageWindow import MessageW... | 50.700573 | 121 | 0.628755 | 34,531 | 0.975755 | 0 | 0 | 0 | 0 | 0 | 0 | 5,733 | 0.161999 |
de7659b57f254205c0bc591d8af1e1375127f4d8 | 336 | py | Python | Chat app/Check IP.py | ArturWagnerBusiness/Projects-2018-2020 | 37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4 | [
"MIT"
] | null | null | null | Chat app/Check IP.py | ArturWagnerBusiness/Projects-2018-2020 | 37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4 | [
"MIT"
] | null | null | null | Chat app/Check IP.py | ArturWagnerBusiness/Projects-2018-2020 | 37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4 | [
"MIT"
] | null | null | null | from os import system as c
i = "ipconfig"
input(c(i))
# import win32clipboard
# from time import sleep as wait
# set clipboard data
# while True:
# win32clipboard.OpenClipboard()
# win32clipboard.EmptyClipboard()
# win32clipboard.SetClipboardText('Clipboard Blocked!')
# win32clipboard.CloseClipboard()
... | 24 | 59 | 0.720238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.839286 |
de766a3b6f5c4477c098e9f336005c2394afbbc1 | 1,506 | py | Python | app/api/api_v1/tasks/emails.py | cdlaimin/fastapi | 4acf1a1da4a1eedd81a3bdf6256661c2464928b9 | [
"BSD-3-Clause"
] | null | null | null | app/api/api_v1/tasks/emails.py | cdlaimin/fastapi | 4acf1a1da4a1eedd81a3bdf6256661c2464928b9 | [
"BSD-3-Clause"
] | null | null | null | app/api/api_v1/tasks/emails.py | cdlaimin/fastapi | 4acf1a1da4a1eedd81a3bdf6256661c2464928b9 | [
"BSD-3-Clause"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
@File : emails.py
@Contact : [email protected]
@License : (C)Copyright 2017-2018, Liugroup-NLPR-CASIA
@Modify Time @Author @Version @Desciption
------------ ------- -------- -----------
2020/9/27 10:22 下午 wuxiaoqiang 1.0 None
"""
import as... | 34.227273 | 108 | 0.625498 | 0 | 0 | 0 | 0 | 181 | 0.111728 | 966 | 0.596296 | 719 | 0.443827 |
de76f5e1a1407299a65c28e63772cca898458059 | 13,487 | py | Python | lightwood/encoders/text/distilbert.py | ritwik12/lightwood | 7975688355fba8b0f8349dd55a1b6cb625c3efd0 | [
"MIT"
] | null | null | null | lightwood/encoders/text/distilbert.py | ritwik12/lightwood | 7975688355fba8b0f8349dd55a1b6cb625c3efd0 | [
"MIT"
] | null | null | null | lightwood/encoders/text/distilbert.py | ritwik12/lightwood | 7975688355fba8b0f8349dd55a1b6cb625c3efd0 | [
"MIT"
] | null | null | null | import time
import copy
import random
import logging
from functools import partial
import numpy as np
import torch
from torch.utils.data import DataLoader
from transformers import DistilBertModel, DistilBertForSequenceClassification, DistilBertTokenizer, AlbertModel, AlbertForSequenceClassification, DistilBertTokenize... | 46.993031 | 456 | 0.671091 | 10,790 | 0.80003 | 0 | 0 | 981 | 0.072737 | 0 | 0 | 1,675 | 0.124194 |
de775456d4d41592b9970922b77c527e29122163 | 4,542 | py | Python | scripts/scopdominfo.py | stivalaa/cuda_satabsearch | b947fb711f8b138e5a50c81e7331727c372eb87d | [
"MIT"
] | null | null | null | scripts/scopdominfo.py | stivalaa/cuda_satabsearch | b947fb711f8b138e5a50c81e7331727c372eb87d | [
"MIT"
] | null | null | null | scripts/scopdominfo.py | stivalaa/cuda_satabsearch | b947fb711f8b138e5a50c81e7331727c372eb87d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
###############################################################################
#
# scomdominfo.py - Report information folds and classes of a list of SCOP sids
#
# File: scomdominfo.py
# Author: Alex Stivala
# Created: November 2008
#
# $Id: scopdominfo.py 3009 2009-12-08 03:01:48Z alexs $
# ... | 30.689189 | 148 | 0.610524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,660 | 0.585645 |
de79c16d6df471bd5320f3fc4154354634f400a7 | 1,334 | py | Python | serverless/pytorch/foolwood/siammask/nuclio/model_handler.py | arthurtibame/cvat | 0062ecdec34a9ffcad33e1664a7cac663bec4ecf | [
"MIT"
] | null | null | null | serverless/pytorch/foolwood/siammask/nuclio/model_handler.py | arthurtibame/cvat | 0062ecdec34a9ffcad33e1664a7cac663bec4ecf | [
"MIT"
] | null | null | null | serverless/pytorch/foolwood/siammask/nuclio/model_handler.py | arthurtibame/cvat | 0062ecdec34a9ffcad33e1664a7cac663bec4ecf | [
"MIT"
] | 1 | 2021-09-17T10:19:30.000Z | 2021-09-17T10:19:30.000Z | # Copyright (C) 2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
from tools.test import *
import os
class ModelHandler:
def __init__(self):
# Setup device
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
torch.backends.cudnn.benchmark = True
base_d... | 34.205128 | 93 | 0.614693 | 1,223 | 0.916792 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.17991 |
de79c50bcf2db093ce388c48ecf4f5cdef4ddb45 | 10,842 | py | Python | pynmt/__init__.py | obrmmk/demo | b5deb85b2b2bf118b850f93c255ee88d055156a8 | [
"MIT"
] | null | null | null | pynmt/__init__.py | obrmmk/demo | b5deb85b2b2bf118b850f93c255ee88d055156a8 | [
"MIT"
] | null | null | null | pynmt/__init__.py | obrmmk/demo | b5deb85b2b2bf118b850f93c255ee88d055156a8 | [
"MIT"
] | 1 | 2021-11-23T14:04:36.000Z | 2021-11-23T14:04:36.000Z | import torch
import torch.nn as nn
from torch.nn import (TransformerEncoder, TransformerDecoder,
TransformerEncoderLayer, TransformerDecoderLayer)
from torch import Tensor
from typing import Iterable, List
import math
import os
import numpy as np
try:
from janome.tokenizer import Tokenizer
ex... | 36.14 | 168 | 0.620365 | 5,721 | 0.504053 | 0 | 0 | 0 | 0 | 0 | 0 | 1,673 | 0.147401 |
de7a78e426a815b7bd976727be3160a469af797a | 9,185 | py | Python | probedb/certs/builddb.py | dingdang2012/tlsprober | 927f6177939470235bf336bca27096369932fc66 | [
"Apache-2.0"
] | 1 | 2019-01-30T13:18:02.000Z | 2019-01-30T13:18:02.000Z | probedb/certs/builddb.py | dingdang2012/tlsprober | 927f6177939470235bf336bca27096369932fc66 | [
"Apache-2.0"
] | null | null | null | probedb/certs/builddb.py | dingdang2012/tlsprober | 927f6177939470235bf336bca27096369932fc66 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010-2012 Opera Software ASA
#
# 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 ... | 27.665663 | 163 | 0.706369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,547 | 0.168427 |
de7b6b105a985b6f30d92b604636b34c85675300 | 498 | py | Python | Alp/cap_alp/E.py | Ashokkommi0001/patterns | daa1a1d8f3bc6e021e02a0e34458e2c178fc71d2 | [
"MIT"
] | 2 | 2021-03-17T12:08:22.000Z | 2021-03-17T12:11:10.000Z | Alp/cap_alp/E.py | Ashokkommi0001/patterns | daa1a1d8f3bc6e021e02a0e34458e2c178fc71d2 | [
"MIT"
] | null | null | null | Alp/cap_alp/E.py | Ashokkommi0001/patterns | daa1a1d8f3bc6e021e02a0e34458e2c178fc71d2 | [
"MIT"
] | 1 | 2021-03-17T11:49:39.000Z | 2021-03-17T11:49:39.000Z | def for_E():
for row in range(7):
for col in range(5):
if (col==0 ) or (row==0 or row==3 or row==6):
print("*",end=" ")
else:
print(end=" ")
print()
def while_E():
i=0
while i<7:
j=0
while j<5:
... | 22.636364 | 58 | 0.317269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.040161 |
de7c4534ed26f1d3158aaf6b53415fa79e0c249d | 574 | py | Python | patron/__init__.py | rafaelaraujobsb/patron | b2d23d4149a5f48156a4a2b0638daac33a66cc6a | [
"MIT"
] | null | null | null | patron/__init__.py | rafaelaraujobsb/patron | b2d23d4149a5f48156a4a2b0638daac33a66cc6a | [
"MIT"
] | null | null | null | patron/__init__.py | rafaelaraujobsb/patron | b2d23d4149a5f48156a4a2b0638daac33a66cc6a | [
"MIT"
] | null | null | null | from flask import Flask
from loguru import logger
from flasgger import Swagger
from patron.api import api_bp
logger.add("api.log", format="{time:YYYY-MM-DD at HH:mm:ss} | {level} | {message}", rotation="500 MB")
template = {
"swagger": "2.0",
"info": {
"title": "PATRON",
"description": "",
... | 19.793103 | 102 | 0.602787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198 | 0.344948 |
de7dc549a1952d8dda02b33f493f1bb859b37917 | 735 | py | Python | src/perceptron.py | tomoki/deep-learning-from-scratch | 0b6144806b6b79462d6d65616a64b1774f876973 | [
"MIT"
] | 1 | 2018-08-31T09:39:11.000Z | 2018-08-31T09:39:11.000Z | src/perceptron.py | tomoki/deep-learning-from-scratch | 0b6144806b6b79462d6d65616a64b1774f876973 | [
"MIT"
] | null | null | null | src/perceptron.py | tomoki/deep-learning-from-scratch | 0b6144806b6b79462d6d65616a64b1774f876973 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pylab as plt
def step_function(x):
y = x > 0
return y.astype(np.int)
def sigmoid(x):
return 1 / (1 + np.exp(-x))
def relu(x):
return np.maximum(0, x)
def AND(x1, x2):
x = np.array([x1, x2])
w = np.array([0.5, 0.5])
b = -0.7
tmp = np.sum(w * x) + b... | 17.093023 | 31 | 0.469388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de8007cfcf1b7fa53b4609e54f0ca14a7d5ba1bb | 210 | py | Python | notebooks/_solutions/case4_air_quality_analysis18.py | jorisvandenbossche/2018-Bordeaux-pandas-course | 3f6b9fe6f02c2ab484c3f9744d7d39b926438dd6 | [
"BSD-3-Clause"
] | 3 | 2019-07-23T15:14:03.000Z | 2020-11-10T06:12:18.000Z | notebooks/_solutions/case4_air_quality_analysis18.py | jorisvandenbossche/2018-Bordeaux-pandas-course | 3f6b9fe6f02c2ab484c3f9744d7d39b926438dd6 | [
"BSD-3-Clause"
] | null | null | null | notebooks/_solutions/case4_air_quality_analysis18.py | jorisvandenbossche/2018-Bordeaux-pandas-course | 3f6b9fe6f02c2ab484c3f9744d7d39b926438dd6 | [
"BSD-3-Clause"
] | 3 | 2020-03-04T23:40:20.000Z | 2021-11-04T16:41:10.000Z | # with tidy long table
fig, ax = plt.subplots()
sns.violinplot(x='station', y='no2', data=data_tidy[data_tidy['datetime'].dt.year == 2011], palette="GnBu_d", ax=ax)
ax.set_ylabel("NO$_2$ concentration (µg/m³)") | 52.5 | 116 | 0.704762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.40566 |
de82bbe06365e1885857bfec2f5eb9144e01b08c | 1,729 | py | Python | dncnn/dncnn.py | kTonpa/DnCNN | aca7e07ccbe6b75bee7d4763958dade4a8eee609 | [
"MIT"
] | null | null | null | dncnn/dncnn.py | kTonpa/DnCNN | aca7e07ccbe6b75bee7d4763958dade4a8eee609 | [
"MIT"
] | null | null | null | dncnn/dncnn.py | kTonpa/DnCNN | aca7e07ccbe6b75bee7d4763958dade4a8eee609 | [
"MIT"
] | null | null | null | """
Project: dncnn
Author: khalil MEFTAH
Date: 2021-11-26
DnCNN: Deep Neural Convolutional Network for Image Denoising model implementation
"""
import torch
from torch import nn
import torch.nn.functional as F
# helper functions
def eval_decorator(fn):
def inner(model, *args, **kwargs):
was_training = m... | 25.80597 | 142 | 0.638519 | 1,246 | 0.720648 | 0 | 0 | 85 | 0.049161 | 0 | 0 | 197 | 0.113939 |
de848d1a58c8622dd6042ce58386b34d78eaa285 | 41,886 | py | Python | scripts/fabfile/tasks.py | Alchem-Lab/deneva | 5201ef12fd8235fea7833709b8bffe45f53877eb | [
"Apache-2.0"
] | 88 | 2017-01-19T03:15:24.000Z | 2022-03-30T16:22:19.000Z | scripts/fabfile/tasks.py | Alchem-Lab/deneva | 5201ef12fd8235fea7833709b8bffe45f53877eb | [
"Apache-2.0"
] | null | null | null | scripts/fabfile/tasks.py | Alchem-Lab/deneva | 5201ef12fd8235fea7833709b8bffe45f53877eb | [
"Apache-2.0"
] | 22 | 2017-01-20T10:22:31.000Z | 2022-02-10T18:55:36.000Z | #!/usr/bin/python
from __future__ import print_function
import logging
from fabric.api import task,run,local,put,get,execute,settings
from fabric.decorators import *
from fabric.context_managers import shell_env,quiet
from fabric.exceptions import *
from fabric.utils import puts,fastprint
from time import sleep
from c... | 36.549738 | 172 | 0.542138 | 0 | 0 | 158 | 0.003772 | 39,477 | 0.942487 | 0 | 0 | 13,129 | 0.313446 |
de852461942a9c2a911b8c95e145d87c827bf61c | 651 | py | Python | mezzanine_recipes/forms.py | tjetzinger/mezzanine-recipes | f00be89ae5b93fdb2cf2771270efb4ecfa30e313 | [
"MIT"
] | 6 | 2015-02-01T18:08:41.000Z | 2021-06-20T16:24:11.000Z | mezzanine_recipes/forms.py | tjetzinger/mezzanine-recipes | f00be89ae5b93fdb2cf2771270efb4ecfa30e313 | [
"MIT"
] | 2 | 2020-02-11T21:19:13.000Z | 2020-06-05T16:38:44.000Z | mezzanine_recipes/forms.py | tjetzinger/mezzanine-recipes | f00be89ae5b93fdb2cf2771270efb4ecfa30e313 | [
"MIT"
] | 1 | 2016-05-17T20:16:25.000Z | 2016-05-17T20:16:25.000Z |
from django import forms
from mezzanine.blog.forms import BlogPostForm
from .models import BlogPost
# These fields need to be in the form, hidden, with default values,
# since it posts to the blog post admin, which includes these fields
# and will use empty values instead of the model defaults, without
# these spe... | 26.04 | 73 | 0.723502 | 248 | 0.380952 | 0 | 0 | 0 | 0 | 0 | 0 | 382 | 0.58679 |
de86c719ac9ffce9e1f273be9d0dc93bbd224576 | 14,533 | py | Python | reviews/migrations/0022_auto_20190302_1556.py | UrbanBogger/horrorexplosion | 3698e00a6899a5e8b224cd3d1259c3deb3a2ca80 | [
"MIT"
] | null | null | null | reviews/migrations/0022_auto_20190302_1556.py | UrbanBogger/horrorexplosion | 3698e00a6899a5e8b224cd3d1259c3deb3a2ca80 | [
"MIT"
] | 4 | 2020-06-05T18:21:18.000Z | 2021-06-10T20:17:31.000Z | reviews/migrations/0022_auto_20190302_1556.py | UrbanBogger/horrorexplosion | 3698e00a6899a5e8b224cd3d1259c3deb3a2ca80 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2019-03-02 15:56
from __future__ import unicode_literals
import ckeditor.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('reviews', '0021_auto_20190302_1514')... | 113.539063 | 1,908 | 0.637515 | 14,319 | 0.985275 | 0 | 0 | 0 | 0 | 0 | 0 | 4,759 | 0.327462 |
de876b3ed14bbdc7196b4d80c31ffed86152546c | 1,414 | py | Python | setup.py | imdaveho/intermezzo | 3fe4824a747face996e301ca5190caec0cb0a6fd | [
"MIT"
] | 8 | 2018-02-26T16:24:07.000Z | 2021-06-30T07:40:52.000Z | setup.py | imdaveho/intermezzo | 3fe4824a747face996e301ca5190caec0cb0a6fd | [
"MIT"
] | null | null | null | setup.py | imdaveho/intermezzo | 3fe4824a747face996e301ca5190caec0cb0a6fd | [
"MIT"
] | null | null | null | import platform
from setuptools import setup
if platform.system() == "Windows":
setup(
name="intermezzo",
version="0.1.0",
description="A library for creating cross-platform text-based interfaces using termbox-go.",
long_description="",
url="https://github.com/imdaveho/inter... | 35.35 | 100 | 0.601839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 638 | 0.451202 |
de87df11dbf3b3a221e585a21372627cd71cbf40 | 173 | py | Python | aula3/ola/urls.py | Danilo-Xaxa/django_cs50w | 5ae2e076f35a8c32a4e445f8cfd1c66500fbc496 | [
"MIT"
] | null | null | null | aula3/ola/urls.py | Danilo-Xaxa/django_cs50w | 5ae2e076f35a8c32a4e445f8cfd1c66500fbc496 | [
"MIT"
] | null | null | null | aula3/ola/urls.py | Danilo-Xaxa/django_cs50w | 5ae2e076f35a8c32a4e445f8cfd1c66500fbc496 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('<str:nome>', views.cumprimentar, name='cumprimentar'),
] | 24.714286 | 64 | 0.676301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.202312 |
de88715741307a44df748cb0254417ebbcf130e6 | 70,016 | py | Python | MOTION.py | catubc/MOTION | 528ce8a860e4f1f1075b85d3bcb162fb78bdad81 | [
"MIT"
] | null | null | null | MOTION.py | catubc/MOTION | 528ce8a860e4f1f1075b85d3bcb162fb78bdad81 | [
"MIT"
] | null | null | null | MOTION.py | catubc/MOTION | 528ce8a860e4f1f1075b85d3bcb162fb78bdad81 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import cv2, os, sys, glob
import scipy
import sklearn
import imageio
import matplotlib.cm as cm
import matplotlib
import time
from sklearn import decomposition, metrics, manifold, svm
from tsne import bh_sne
from matplotlib.path ... | 39.049637 | 257 | 0.638211 | 65,251 | 0.931944 | 0 | 0 | 0 | 0 | 0 | 0 | 23,098 | 0.329896 |
de88b285c3b2ad75dee639aa1cc273972692cd58 | 619 | py | Python | MinersArchers/game/game_data/cells/Cell_pygame.py | ea-evdokimov/MinersArchers | 2e2830d3723b66cbd0e8829092124e30f8b4c854 | [
"MIT"
] | null | null | null | MinersArchers/game/game_data/cells/Cell_pygame.py | ea-evdokimov/MinersArchers | 2e2830d3723b66cbd0e8829092124e30f8b4c854 | [
"MIT"
] | null | null | null | MinersArchers/game/game_data/cells/Cell_pygame.py | ea-evdokimov/MinersArchers | 2e2830d3723b66cbd0e8829092124e30f8b4c854 | [
"MIT"
] | null | null | null | import pygame
from game.game_data.cells.Cell import Cell
from game.pygame_ import PICS_pygame, CELL_SIZE
from game.pygame_.Object import Object
class PyGCell(Object, Cell):
# TODO не передавать лишнее
def __init__(self, id__, cell: Cell, x_: int, y_: int):
Object.__init__(self, id__, *self.create_coo... | 30.95 | 91 | 0.691438 | 489 | 0.767661 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.081633 |
de8b266bc66642e780d1f515de7639ab0386bd85 | 2,690 | py | Python | scheduler.py | shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection | 5706b82ff67911864967aa72adf7e4a994c7ec89 | [
"MIT"
] | null | null | null | scheduler.py | shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection | 5706b82ff67911864967aa72adf7e4a994c7ec89 | [
"MIT"
] | null | null | null | scheduler.py | shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection | 5706b82ff67911864967aa72adf7e4a994c7ec89 | [
"MIT"
] | null | null | null | import json
import os
import torch
import math
def adjust_learning_rate(optimizer, scale):
"""
Scale learning rate by a specified factor.
:param optimizer: optimizer whose learning rate must be shrunk.
:param scale: factor to multiply learning rate with.
"""
for param_group in optimizer.param... | 36.351351 | 106 | 0.600743 | 1,763 | 0.65539 | 0 | 0 | 0 | 0 | 0 | 0 | 686 | 0.255019 |
de8c74beee9cae08acd3e8037eb35833307f76e4 | 93 | py | Python | app/routing/feeds/feed_type.py | wolfhardfehre/guide-io | cf076bad0634bcaf4ad0be4822539b7c8d254e76 | [
"MIT"
] | null | null | null | app/routing/feeds/feed_type.py | wolfhardfehre/guide-io | cf076bad0634bcaf4ad0be4822539b7c8d254e76 | [
"MIT"
] | null | null | null | app/routing/feeds/feed_type.py | wolfhardfehre/guide-io | cf076bad0634bcaf4ad0be4822539b7c8d254e76 | [
"MIT"
] | null | null | null | from enum import Enum
class FeedType(str, Enum):
OSM = 'osm'
OVERPASS = 'overpass'
| 13.285714 | 26 | 0.645161 | 68 | 0.731183 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.16129 |
de8c915237260239c036a5cbacb8018944e669da | 8,774 | py | Python | lego_sorter.py | bmleedy/lego_sorter | 0164bc0042127f255590d1883b5edadfba781537 | [
"BSD-2-Clause"
] | null | null | null | lego_sorter.py | bmleedy/lego_sorter | 0164bc0042127f255590d1883b5edadfba781537 | [
"BSD-2-Clause"
] | null | null | null | lego_sorter.py | bmleedy/lego_sorter | 0164bc0042127f255590d1883b5edadfba781537 | [
"BSD-2-Clause"
] | null | null | null | #!/bin/python3
"""This is the top-level program to operate the Raspberry Pi based lego sorter."""
# Things I can set myself: AWB, Brightness, crop, exposure_mode,
# exposure_speed,iso (sensitivity), overlays, preview_alpha,
# preview_window, saturation, shutter_speed,
# Thought for future enhancement: at start... | 35.379032 | 94 | 0.624915 | 1,772 | 0.20196 | 0 | 0 | 0 | 0 | 0 | 0 | 3,677 | 0.419079 |
de8d539f5152c1d0482b8d70ccc7c573352b8f81 | 6,061 | py | Python | tableloader/tableFunctions/types.py | warlof/yamlloader | ff1c1e62ec40787dd77115f6deded8a93e77ebf6 | [
"MIT"
] | 26 | 2015-07-08T12:55:30.000Z | 2022-01-21T11:44:35.000Z | tableloader/tableFunctions/types.py | warlof/yamlloader | ff1c1e62ec40787dd77115f6deded8a93e77ebf6 | [
"MIT"
] | 16 | 2016-05-01T17:42:44.000Z | 2021-06-02T04:33:53.000Z | tableloader/tableFunctions/types.py | warlof/yamlloader | ff1c1e62ec40787dd77115f6deded8a93e77ebf6 | [
"MIT"
] | 17 | 2016-05-01T11:15:00.000Z | 2021-12-02T03:25:04.000Z | # -*- coding: utf-8 -*-
from yaml import load, dump
try:
from yaml import CSafeLoader as SafeLoader
print "Using CSafeLoader"
except ImportError:
from yaml import SafeLoader
print "Using Python SafeLoader"
import os
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
from sqlalchemy import Table
def importyaml... | 63.135417 | 193 | 0.530606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 901 | 0.148655 |
de8e61ed55aedc48bfff03d78334a493e87826b6 | 242 | py | Python | core/views.py | AlikBerry/countdown_timer | 457f6d499b1fd702d43c348a012ae78780009e3b | [
"MIT"
] | null | null | null | core/views.py | AlikBerry/countdown_timer | 457f6d499b1fd702d43c348a012ae78780009e3b | [
"MIT"
] | null | null | null | core/views.py | AlikBerry/countdown_timer | 457f6d499b1fd702d43c348a012ae78780009e3b | [
"MIT"
] | null | null | null | from django.shortcuts import render
from core.models import Projects,InfoNotifications,WarningNotifications
from django.http import HttpResponse
from .tasks import sleepy
def index(reuqest):
sleepy(10)
return HttpResponse('Done!')
| 22 | 71 | 0.801653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.028926 |
de8e8bcbbb73ed82dfadbb561cfbfe8bb447a711 | 5,017 | py | Python | networks/autoencoder/losses.py | annachen/dl_playground | f263dc16b4f0d91f6d33d94e678a9bbe2ace8913 | [
"MIT"
] | null | null | null | networks/autoencoder/losses.py | annachen/dl_playground | f263dc16b4f0d91f6d33d94e678a9bbe2ace8913 | [
"MIT"
] | null | null | null | networks/autoencoder/losses.py | annachen/dl_playground | f263dc16b4f0d91f6d33d94e678a9bbe2ace8913 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
EPS = 1e-5
def KL_monte_carlo(z, mean, sigma=None, log_sigma=None):
"""Computes the KL divergence at a point, given by z.
Implemented based on https://www.tensorflow.org/tutorials/generative/cvae
This is the part "log(p(z)) - log(q(z|x)) where z is sampled from... | 24.960199 | 88 | 0.590592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,228 | 0.44409 |
de9037d4a2c6b5fbbf0a5f4e22a9796ae161e5b0 | 4,288 | py | Python | Onderdelen/Hoofdscherm.py | RemcoTaal/IDP | 33959e29235448c38b7936f16c7421a24130e745 | [
"MIT"
] | null | null | null | Onderdelen/Hoofdscherm.py | RemcoTaal/IDP | 33959e29235448c38b7936f16c7421a24130e745 | [
"MIT"
] | null | null | null | Onderdelen/Hoofdscherm.py | RemcoTaal/IDP | 33959e29235448c38b7936f16c7421a24130e745 | [
"MIT"
] | null | null | null | from tkinter import *
import os, xmltodict, requests
def knop1():
'Open GUI huidig station'
global root
root.destroy()
os.system('Huidig_Station.py')
def knop2():
'Open GUI ander station'
global root
root.destroy()
os.system('Ander_Station.py')
def nl_to_eng():
'Wanneer er op d... | 34.861789 | 117 | 0.541045 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,308 | 0.305037 |
de93263b9043812ffa8057bd744f43dfad03bbdf | 27 | py | Python | py2ifttt/__init__.py | moevis/py2ifttt | 99dc2be647c53c9279f2f212528fef7190de7476 | [
"MIT"
] | 3 | 2018-05-04T12:50:04.000Z | 2020-02-28T03:22:53.000Z | py2ifttt/__init__.py | moevis/py2ifttt | 99dc2be647c53c9279f2f212528fef7190de7476 | [
"MIT"
] | null | null | null | py2ifttt/__init__.py | moevis/py2ifttt | 99dc2be647c53c9279f2f212528fef7190de7476 | [
"MIT"
] | null | null | null | from .py2ifttt import IFTTT | 27 | 27 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de9373d0df66278e0b02dc262104db37303b9a61 | 3,806 | py | Python | server-program/clientApplication.py | ezequias2d/projeto-so | 993f3dd12135946fe5b4351e8488b7aa8a18f37e | [
"MIT"
] | null | null | null | server-program/clientApplication.py | ezequias2d/projeto-so | 993f3dd12135946fe5b4351e8488b7aa8a18f37e | [
"MIT"
] | null | null | null | server-program/clientApplication.py | ezequias2d/projeto-so | 993f3dd12135946fe5b4351e8488b7aa8a18f37e | [
"MIT"
] | null | null | null | import socket
import tokens
import connection
import io
import os
from PIL import Image
from message.literalMessage import LiteralMessage
from baseApplication import BaseApplication
class ClientApplication(BaseApplication):
def __init__(self, host, port):
super().__init__(host, port, token... | 34.288288 | 121 | 0.547031 | 3,556 | 0.934314 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.104834 |
de949d00cedaeb2c6790aaae5c34a82b7c16d8c5 | 230 | py | Python | ethernet/recv.py | bobbae/pingcap | c573688b42d35cefdbfa0121580807885aae8869 | [
"Unlicense"
] | null | null | null | ethernet/recv.py | bobbae/pingcap | c573688b42d35cefdbfa0121580807885aae8869 | [
"Unlicense"
] | 1 | 2019-10-11T16:16:22.000Z | 2019-10-11T16:16:22.000Z | ethernet/recv.py | bobbae/pingcap | c573688b42d35cefdbfa0121580807885aae8869 | [
"Unlicense"
] | null | null | null | import sys
import socket
ETH_P_ALL=3 # not defined in socket module, sadly...
s=socket.socket(socket.AF_PACKET, socket.SOCK_RAW, socket.htons(ETH_P_ALL))
s.bind((sys.argv[1], 0))
r=s.recv(2000)
sys.stdout.write("<%s>\n"%repr(r))
| 25.555556 | 75 | 0.726087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.208696 |
de94dc8dcf783cae1964a6addda472d802119e98 | 1,110 | py | Python | legacy/exam.py | wangxinhe2006/xyzzyy | 3267614132a3b9e448b6733f13e8019aa79db922 | [
"MIT"
] | 1 | 2021-07-16T02:29:35.000Z | 2021-07-16T02:29:35.000Z | legacy/exam.py | wangxinhe2006/xyzzyy | 3267614132a3b9e448b6733f13e8019aa79db922 | [
"MIT"
] | null | null | null | legacy/exam.py | wangxinhe2006/xyzzyy | 3267614132a3b9e448b6733f13e8019aa79db922 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from json import loads
from urllib.request import urlopen, Request
SITE = input('Site: ')
COOKIE = 'pj=' + input('pj=')
examList = loads(urlopen(Request(f'{SITE}/data/module/homework/all.asp?sAct=GetHomeworkListByStudent&iIsExam=1&iPageCount=' + loads(urlopen(Request(f'{SITE}/data/module/home... | 48.26087 | 312 | 0.664865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 433 | 0.39009 |
de95cb380efb4a5351375e80063db451dd2899b5 | 3,803 | py | Python | TkPy/module.py | tbor8080/pyprog | 3642b9af2a92f7369d9b6fa138e47ba22df3271c | [
"MIT"
] | null | null | null | TkPy/module.py | tbor8080/pyprog | 3642b9af2a92f7369d9b6fa138e47ba22df3271c | [
"MIT"
] | null | null | null | TkPy/module.py | tbor8080/pyprog | 3642b9af2a92f7369d9b6fa138e47ba22df3271c | [
"MIT"
] | null | null | null | import sys
import os
import tkinter.filedialog as fd
from time import sleep
import datetime
import tkinter
import tkinter as tk
from tkinter import ttk
from tkinter import scrolledtext
import threading
# New File & Duplicate File Save
def saveasFilePath( filetype=[ ("",".txt"), ("CSV",".csv") ] ):
return fd.asksa... | 34.261261 | 106 | 0.616618 | 3,261 | 0.853442 | 0 | 0 | 0 | 0 | 0 | 0 | 719 | 0.188171 |
de97499bd44b3c33d3853cafca12103889273c3c | 6,005 | py | Python | core/polyaxon/cli/components/tuner.py | Ohtar10/polyaxon | 1e41804e4ae6466b6928d06bc6ee6d2d9c7b8931 | [
"Apache-2.0"
] | null | null | null | core/polyaxon/cli/components/tuner.py | Ohtar10/polyaxon | 1e41804e4ae6466b6928d06bc6ee6d2d9c7b8931 | [
"Apache-2.0"
] | null | null | null | core/polyaxon/cli/components/tuner.py | Ohtar10/polyaxon | 1e41804e4ae6466b6928d06bc6ee6d2d9c7b8931 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2021 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 28.732057 | 85 | 0.657119 | 0 | 0 | 0 | 0 | 5,339 | 0.889092 | 0 | 0 | 1,416 | 0.235803 |
de974a6af213636bff804abc1abfb40a31e4354d | 8,810 | py | Python | judge/base/__init__.py | fanzeyi/Vulpix | 9448e968973073c98231b22663bbebb2a452dcd7 | [
"BSD-3-Clause"
] | 13 | 2015-03-08T11:59:28.000Z | 2021-07-11T11:58:01.000Z | src/tornado/demos/Vulpix-master/judge/base/__init__.py | ptphp/PyLib | 07ac99cf2deb725475f5771b123b9ea1375f5e65 | [
"Apache-2.0"
] | null | null | null | src/tornado/demos/Vulpix-master/judge/base/__init__.py | ptphp/PyLib | 07ac99cf2deb725475f5771b123b9ea1375f5e65 | [
"Apache-2.0"
] | 3 | 2015-05-29T16:14:08.000Z | 2016-04-29T07:25:26.000Z | # -*- coding: utf-8 -*-
# AUTHOR: Zeray Rice <[email protected]>
# FILE: judge/base/__init__.py
# CREATED: 01:49:33 08/03/2012
# MODIFIED: 15:42:49 19/04/2012
# DESCRIPTION: Base handler
import re
import time
import urllib
import hashlib
import httplib
import datetime
import functools
import traceback
import simp... | 40.787037 | 147 | 0.559932 | 7,436 | 0.844041 | 0 | 0 | 417 | 0.047333 | 0 | 0 | 1,475 | 0.167423 |
de9773cffe9839ef07dd2219fd1b0246be382284 | 1,839 | py | Python | src/blog/migrations/0001_initial.py | triump0870/rohan | 3bd56ccdc35cb67823117e78dc02becbfbd0b329 | [
"MIT"
] | null | null | null | src/blog/migrations/0001_initial.py | triump0870/rohan | 3bd56ccdc35cb67823117e78dc02becbfbd0b329 | [
"MIT"
] | null | null | null | src/blog/migrations/0001_initial.py | triump0870/rohan | 3bd56ccdc35cb67823117e78dc02becbfbd0b329 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import markdownx.models
import myblog.filename
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | 39.12766 | 152 | 0.582926 | 1,650 | 0.897227 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.138662 |
de9904583298a90d85047bd7e803be42fe6b0d62 | 1,545 | py | Python | exams/61a-su20-practice-mt/q6/tests/q6.py | jjllzhang/CS61A | 57b68c7c06999210d96499f6d84e4ec99085d396 | [
"MIT"
] | 1 | 2022-01-22T11:45:01.000Z | 2022-01-22T11:45:01.000Z | exams/61a-su20-practice-mt/q6/tests/q6.py | jjllzhang/CS61A | 57b68c7c06999210d96499f6d84e4ec99085d396 | [
"MIT"
] | null | null | null | exams/61a-su20-practice-mt/q6/tests/q6.py | jjllzhang/CS61A | 57b68c7c06999210d96499f6d84e4ec99085d396 | [
"MIT"
] | null | null | null | test = {'name': 'q6',
'points': 10,
'suites': [{'cases': [{'code': '>>> increment = lambda x: x + 1\n'
'\n'
'>>> square = lambda x: x * x\n'
'\n'
'>>> do_nothing = make_zipper(increment, '
... | 49.83871 | 80 | 0.253722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 630 | 0.407767 |
de9bc65cbfa30de1a8294fb16fd3712d1ce427db | 3,566 | py | Python | #17.py | Domino2357/daily-coding-problem | 95ddef9db53c8b895f2c085ba6399a3144a4f8e6 | [
"MIT"
] | null | null | null | #17.py | Domino2357/daily-coding-problem | 95ddef9db53c8b895f2c085ba6399a3144a4f8e6 | [
"MIT"
] | null | null | null | #17.py | Domino2357/daily-coding-problem | 95ddef9db53c8b895f2c085ba6399a3144a4f8e6 | [
"MIT"
] | null | null | null | """
This problem was asked by Google.
Suppose we represent our file system by a string in the following manner:
The string "dir\n\tsubdir1\n\tsubdir2\n\t\tfile.ext" represents:
dir
subdir1
subdir2
file.ext
The directory dir contains an empty sub-directory subdir1 and a sub-directory subdir2 containin... | 31.280702 | 124 | 0.666854 | 110 | 0.030847 | 0 | 0 | 0 | 0 | 0 | 0 | 1,961 | 0.549916 |
de9bd50729808fda9f77f7ae5831c5d7b432a027 | 1,315 | py | Python | turbot/db.py | emre/turbot | 7bc49a8b79bce7f2490036d9255e5b3df8fff4b1 | [
"MIT"
] | 3 | 2017-10-17T22:02:06.000Z | 2018-05-07T10:29:31.000Z | turbot/db.py | emre/turbot | 7bc49a8b79bce7f2490036d9255e5b3df8fff4b1 | [
"MIT"
] | null | null | null | turbot/db.py | emre/turbot | 7bc49a8b79bce7f2490036d9255e5b3df8fff4b1 | [
"MIT"
] | 3 | 2018-10-16T13:28:57.000Z | 2021-02-24T13:23:29.000Z | from os.path import expanduser, exists
from os import makedirs
TURBOT_PATH = expanduser('~/.turbot')
UPVOTE_LOGS = expanduser("%s/upvote_logs" % TURBOT_PATH)
CHECKPOINT = expanduser("%s/checkpoint" % TURBOT_PATH)
REFUND_LOG = expanduser("%s/refunds" % TURBOT_PATH)
def load_checkpoint(fallback_block_num=None):
tr... | 24.351852 | 56 | 0.650951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.062357 |
de9c334f30690be489dc54509a0861d269ca08ea | 111 | py | Python | output/models/ms_data/additional/member_type021_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/ms_data/additional/member_type021_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/ms_data/additional/member_type021_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.ms_data.additional.member_type021_xsd.member_type021 import Root
__all__ = [
"Root",
]
| 18.5 | 83 | 0.774775 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.054054 |
de9ca51de5e3ba22b379f50a5e136405d59c8422 | 4,361 | py | Python | estimator.py | 2besweet/Covid-19-project | 8cfa76662ed0b84999134a9faacbf390e8de31f3 | [
"MIT"
] | 1 | 2021-01-31T19:04:11.000Z | 2021-01-31T19:04:11.000Z | estimator.py | 2besweet/Covid-19-project | 8cfa76662ed0b84999134a9faacbf390e8de31f3 | [
"MIT"
] | 1 | 2021-05-11T10:34:00.000Z | 2021-05-11T10:34:00.000Z | estimator.py | 2besweet/Covid-19-project | 8cfa76662ed0b84999134a9faacbf390e8de31f3 | [
"MIT"
] | null | null | null | def estimator(data):
return data
def __init__(self,reportedCases,name,days,totalHospitalbeds,avgDailyIncomeInUsd,avgDailyIncomePopulation):
self.reportedCases=reportedCases
self.name=name
self.days=days
self.totalHospitalbeds=totalHospitalbeds
self.avgDailyIncomeInUsd=avg... | 40.757009 | 127 | 0.698234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 881 | 0.202018 |
dea196647fceafaeec0ee9058ac3907d2c76082c | 3,752 | py | Python | pys3crypto.py | elitest/pys3crypto | 9dfef5935ff1c663b8641eaa052e778cdf34a565 | [
"MIT"
] | null | null | null | pys3crypto.py | elitest/pys3crypto | 9dfef5935ff1c663b8641eaa052e778cdf34a565 | [
"MIT"
] | null | null | null | pys3crypto.py | elitest/pys3crypto | 9dfef5935ff1c663b8641eaa052e778cdf34a565 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Original Author @elitest
# This script uses boto3 to perform client side decryption
# of data encryption keys and associated files
# and encryption in ways compatible with the AWS SDKs
# This support is not available in boto3 at this time
# Wishlist:
# Currently only tested with KMS managed s... | 36.427184 | 125 | 0.709488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,703 | 0.453891 |
dea3d4b6a9500edd440cd83df9ceb44f4b4e36eb | 1,777 | py | Python | openTEL_11_19/presentation_figures/tm112_utils.py | psychemedia/presentations | a4d7058b1f716c59a89d0bcd1390ead75d769d43 | [
"Apache-2.0"
] | null | null | null | openTEL_11_19/presentation_figures/tm112_utils.py | psychemedia/presentations | a4d7058b1f716c59a89d0bcd1390ead75d769d43 | [
"Apache-2.0"
] | null | null | null | openTEL_11_19/presentation_figures/tm112_utils.py | psychemedia/presentations | a4d7058b1f716c59a89d0bcd1390ead75d769d43 | [
"Apache-2.0"
] | 1 | 2019-11-05T10:35:40.000Z | 2019-11-05T10:35:40.000Z | from IPython.display import HTML
#TO DO - the nested table does not display?
#Also, the nested execution seems to take a long time to run?
#Profile it to see where I'm going wrong!
def obj_display(v, nest=False, style=True):
def nested(v):
if nest:
return obj_display(v, style=False)
re... | 38.630435 | 133 | 0.563309 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 936 | 0.52673 |
dea4ec2e4ccc51ad602efcb7e648252790b6ff2d | 984 | py | Python | src/pages/artists_main.py | haoweini/spotify_stream | 83fd13d4da9fb54a595611d4c0cd594eb5b8a9fd | [
"MIT"
] | null | null | null | src/pages/artists_main.py | haoweini/spotify_stream | 83fd13d4da9fb54a595611d4c0cd594eb5b8a9fd | [
"MIT"
] | null | null | null | src/pages/artists_main.py | haoweini/spotify_stream | 83fd13d4da9fb54a595611d4c0cd594eb5b8a9fd | [
"MIT"
] | null | null | null | from turtle import width
import streamlit as st
import numpy as np
import pandas as pd
from dis import dis
import streamlit as st
from data.get_saved_library import get_saved_library, display_user_name, display_user_pic
from data.get_recently_played import get_recently_played
from data.get_top_artists import get_top_ar... | 31.741935 | 136 | 0.816057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.089431 |
dea61adbc856f28630be94c795fc850aa45a1770 | 595 | py | Python | Leetcode/res/Longest Common Prefix/2.py | AllanNozomu/CompetitiveProgramming | ac560ab5784d2e2861016434a97e6dcc44e26dc8 | [
"MIT"
] | 1 | 2022-03-04T16:06:41.000Z | 2022-03-04T16:06:41.000Z | Leetcode/res/Longest Common Prefix/2.py | AllanNozomu/CompetitiveProgramming | ac560ab5784d2e2861016434a97e6dcc44e26dc8 | [
"MIT"
] | null | null | null | Leetcode/res/Longest Common Prefix/2.py | AllanNozomu/CompetitiveProgramming | ac560ab5784d2e2861016434a97e6dcc44e26dc8 | [
"MIT"
] | null | null | null | # Author: allannozomu
# Runtime: 56 ms
# Memory: 13 MB
class Solution:
def longestCommonPrefix(self, strs: List[str]) -> str:
res = ""
max_length = -1
for s in strs:
if max_length < 0:
max_length = len(s)
else:
max_length = min(len(s),... | 24.791667 | 58 | 0.403361 | 526 | 0.884034 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.097479 |
dea6d3637da9acba0c0473fcafaedf9d82d434e7 | 884 | py | Python | tests/factory_fixtures/contact_number.py | donovan-PNW/dwellinglybackend | 448df61f6ea81f00dde7dab751f8b2106f0eb7b1 | [
"MIT"
] | null | null | null | tests/factory_fixtures/contact_number.py | donovan-PNW/dwellinglybackend | 448df61f6ea81f00dde7dab751f8b2106f0eb7b1 | [
"MIT"
] | 56 | 2021-08-05T02:49:38.000Z | 2022-03-31T19:35:13.000Z | tests/factory_fixtures/contact_number.py | donovan-PNW/dwellinglybackend | 448df61f6ea81f00dde7dab751f8b2106f0eb7b1 | [
"MIT"
] | null | null | null | import pytest
from models.contact_number import ContactNumberModel
@pytest.fixture
def contact_number_attributes(faker):
def _contact_number_attributes():
return {
"number": faker.phone_number(),
"numtype": faker.random_element(("home", "work", "mobile")),
"extension": ... | 29.466667 | 82 | 0.70362 | 0 | 0 | 779 | 0.881222 | 811 | 0.917421 | 0 | 0 | 54 | 0.061086 |
dea6d4847a9416f809c2342943ab00ca26b745bd | 835 | py | Python | tests/test_seq_comparision.py | krzjoa/sciquence | 6a5f758c757200fffeb0fdc9206462f1f89e2444 | [
"MIT"
] | 8 | 2017-10-23T17:59:35.000Z | 2021-05-10T03:01:30.000Z | tests/test_seq_comparision.py | krzjoa/sciquence | 6a5f758c757200fffeb0fdc9206462f1f89e2444 | [
"MIT"
] | 2 | 2019-08-25T19:24:12.000Z | 2019-09-05T12:16:10.000Z | tests/test_seq_comparision.py | krzjoa/sciquence | 6a5f758c757200fffeb0fdc9206462f1f89e2444 | [
"MIT"
] | 2 | 2018-02-28T09:47:53.000Z | 2019-08-25T19:24:16.000Z | import unittest
import numpy as np
from sciquence.sequences import *
class TestSequences(unittest.TestCase):
def test_seq_equals(self):
x = [np.array([1, 2, 3]), np.array([4, 5, 6])]
y = [np.array([1, 2, 7]), np.array([4, 5, 9])]
assert lseq_equal(x, x)
assert not lseq_equal(x, y)... | 30.925926 | 91 | 0.475449 | 714 | 0.85509 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.011976 |
dea6f4a43ec33dab31441d90f5221fa29eeb9456 | 8,191 | py | Python | analysis_guis/code_test.py | Sepidak/spikeGUI | 25ae60160308c0a34e7180f3e39a1c4dc6aad708 | [
"MIT"
] | null | null | null | analysis_guis/code_test.py | Sepidak/spikeGUI | 25ae60160308c0a34e7180f3e39a1c4dc6aad708 | [
"MIT"
] | 3 | 2021-08-09T21:51:41.000Z | 2021-08-09T21:51:45.000Z | analysis_guis/code_test.py | Sepidak/spikeGUI | 25ae60160308c0a34e7180f3e39a1c4dc6aad708 | [
"MIT"
] | 3 | 2021-10-16T14:07:59.000Z | 2021-10-16T17:09:03.000Z | # -*- coding: utf-8 -*-
"""
Simple example using BarGraphItem
"""
# import initExample ## Add path to library (just for examples; you do not need this)
import numpy as np
import pickle as p
import pandas as pd
from analysis_guis.dialogs.rotation_filter import RotationFilter
from analysis_guis.dialogs impor... | 37.401826 | 129 | 0.605421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,975 | 0.485289 |
dea94f5c042a5187e7e181584aadcbc88251aee3 | 2,852 | py | Python | att/gm.py | thexdesk/foiamail | d135bbb5f52d5a31ca8ce3450bd0035f94a182f5 | [
"MIT"
] | null | null | null | att/gm.py | thexdesk/foiamail | d135bbb5f52d5a31ca8ce3450bd0035f94a182f5 | [
"MIT"
] | null | null | null | att/gm.py | thexdesk/foiamail | d135bbb5f52d5a31ca8ce3450bd0035f94a182f5 | [
"MIT"
] | null | null | null | """
downloads gmail atts
"""
import base64, os
from auth.auth import get_service
from msg.label import agencies, get_atts
from report.response import get_threads, get_status
from att.drive import get_or_create_atts_folder,\
check_if_drive, make_drive_folder, upload_to_drive
### START CONFIG ###
buffer_path = ... | 32.781609 | 119 | 0.630785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,002 | 0.351332 |
dea9df41450058a28e28c535ce8960f8b770dc38 | 1,147 | py | Python | pex/pip/download_observer.py | sthagen/pantsbuild-pex | bffe6c3641b809cd3b20adbc7fdb2cf7e5f54309 | [
"Apache-2.0"
] | null | null | null | pex/pip/download_observer.py | sthagen/pantsbuild-pex | bffe6c3641b809cd3b20adbc7fdb2cf7e5f54309 | [
"Apache-2.0"
] | null | null | null | pex/pip/download_observer.py | sthagen/pantsbuild-pex | bffe6c3641b809cd3b20adbc7fdb2cf7e5f54309 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import absolute_import
from pex.pip.log_analyzer import LogAnalyzer
from pex.typing import TYPE_CHECKING, Generic
if TYPE_CHECKING:
from typing import Iterable, Mappi... | 23.408163 | 66 | 0.646905 | 612 | 0.533566 | 0 | 0 | 384 | 0.334786 | 0 | 0 | 297 | 0.258936 |
deaa58029f2b553b02dbaa81816ff5ce9e456f8a | 3,424 | py | Python | dispatchlib/types.py | ryxcommar/dispatchlib | bf3b6e5617af41579b240a7733cd9cc86a8a38ed | [
"MIT"
] | null | null | null | dispatchlib/types.py | ryxcommar/dispatchlib | bf3b6e5617af41579b240a7733cd9cc86a8a38ed | [
"MIT"
] | null | null | null | dispatchlib/types.py | ryxcommar/dispatchlib | bf3b6e5617af41579b240a7733cd9cc86a8a38ed | [
"MIT"
] | null | null | null | from typing import Any
from typing import Callable
from typing import Iterable
def _create_getter_and_setter(name: str):
def getter(self):
return getattr(self.func, name)
getter.__name__ = name
prop = property(getter)
def setter(self, value):
setattr(self.func, name, value)
setter... | 26.96063 | 79 | 0.651285 | 3,018 | 0.881425 | 0 | 0 | 229 | 0.066881 | 0 | 0 | 501 | 0.14632 |
deabe0363fc1143c6a3fe5cc62b534d0a3e480ca | 2,096 | py | Python | pbpstats/data_loader/nba_possession_loader.py | pauldevos/pbpstats | 71c0b5e2bd45d0ca031646c70cd1c1f30c6a7152 | [
"MIT"
] | null | null | null | pbpstats/data_loader/nba_possession_loader.py | pauldevos/pbpstats | 71c0b5e2bd45d0ca031646c70cd1c1f30c6a7152 | [
"MIT"
] | null | null | null | pbpstats/data_loader/nba_possession_loader.py | pauldevos/pbpstats | 71c0b5e2bd45d0ca031646c70cd1c1f30c6a7152 | [
"MIT"
] | null | null | null | from pbpstats.resources.enhanced_pbp import StartOfPeriod
class NbaPossessionLoader(object):
"""
Class for shared methods between :obj:`~pbpstats.data_loader.data_nba.possessions_loader.DataNbaPossessionLoader`
and :obj:`~pbpstats.data_loader.stats_nba.possessions_loader.StatsNbaPossessionLoader`
Bot... | 39.54717 | 121 | 0.624046 | 2,035 | 0.970897 | 0 | 0 | 0 | 0 | 0 | 0 | 679 | 0.32395 |
dead01ec590550c2d98b328ed72222f137d3778b | 7,033 | py | Python | vmware_nsx_tempest/tests/nsxv/api/base_provider.py | gravity-tak/vmware-nsx-tempest | 3a1007d401c471d989345bb5a3f9769f84bd4ac6 | [
"Apache-2.0"
] | null | null | null | vmware_nsx_tempest/tests/nsxv/api/base_provider.py | gravity-tak/vmware-nsx-tempest | 3a1007d401c471d989345bb5a3f9769f84bd4ac6 | [
"Apache-2.0"
] | null | null | null | vmware_nsx_tempest/tests/nsxv/api/base_provider.py | gravity-tak/vmware-nsx-tempest | 3a1007d401c471d989345bb5a3f9769f84bd4ac6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 OpenStack Foundation
# 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 requ... | 39.072222 | 78 | 0.65278 | 3,993 | 0.567752 | 0 | 0 | 3,496 | 0.497085 | 0 | 0 | 1,483 | 0.210863 |
deadc8ea87d0e57d203447ee89704b440dd4a622 | 3,650 | py | Python | read_csv.py | BigTony666/football-manager | 12a4c3dc2bb60f9634b419b7c230d6f78df8d650 | [
"MIT"
] | 11 | 2019-04-23T23:15:43.000Z | 2021-07-13T06:37:25.000Z | read_csv.py | BigTony666/football-manager | 12a4c3dc2bb60f9634b419b7c230d6f78df8d650 | [
"MIT"
] | null | null | null | read_csv.py | BigTony666/football-manager | 12a4c3dc2bb60f9634b419b7c230d6f78df8d650 | [
"MIT"
] | 2 | 2019-03-07T21:07:34.000Z | 2020-04-19T15:28:31.000Z | #!/usr/bin/env python
# coding: utf-8
# In[2]:
from collections import defaultdict
import csv
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# ## read data to numpy(not in use)
# In[385]:
# def readCsvToNumpy(file_name, feat_num):
# util_mat = []
# with open... | 27.037037 | 117 | 0.596164 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,672 | 0.732055 |
deaf2eb47ddc3dd822c0c77690801b5b8b2a48b0 | 1,492 | py | Python | layers/ternary_ops.py | victorjoos/QuantizedNeuralNetworks-Keras-Tensorflow | 4080ddff9c9e9a6fd5c1dd90997c63968195bb7e | [
"BSD-3-Clause"
] | 1 | 2018-08-22T12:13:25.000Z | 2018-08-22T12:13:25.000Z | layers/ternary_ops.py | victorjoos/QuantizedNeuralNetworks-Keras-Tensorflow | 4080ddff9c9e9a6fd5c1dd90997c63968195bb7e | [
"BSD-3-Clause"
] | null | null | null | layers/ternary_ops.py | victorjoos/QuantizedNeuralNetworks-Keras-Tensorflow | 4080ddff9c9e9a6fd5c1dd90997c63968195bb7e | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import keras.backend as K
from time import sleep
def switch(condition, t, e):
if K.backend() == 'tensorflow':
import tensorflow as tf
return tf.where(condition, t, e)
elif K.backend() == 'theano':
import theano.tensor as tt
... | 27.127273 | 99 | 0.632038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 0.442359 |
deafcfc518bad5ab9572431f7de653f846580238 | 1,050 | py | Python | python/5.concurrent/ZCoroutine/z_new_ipc/8.condition.py | lotapp/BaseCode | 0255f498e1fe67ed2b3f66c84c96e44ef1f7d320 | [
"Apache-2.0"
] | 25 | 2018-06-13T08:13:44.000Z | 2020-11-19T14:02:11.000Z | python/5.concurrent/ZCoroutine/z_new_ipc/8.condition.py | lotapp/BaseCode | 0255f498e1fe67ed2b3f66c84c96e44ef1f7d320 | [
"Apache-2.0"
] | null | null | null | python/5.concurrent/ZCoroutine/z_new_ipc/8.condition.py | lotapp/BaseCode | 0255f498e1fe67ed2b3f66c84c96e44ef1f7d320 | [
"Apache-2.0"
] | 13 | 2018-06-13T08:13:38.000Z | 2022-01-06T06:45:07.000Z | import asyncio
cond = None
p_list = []
# 生产者
async def producer(n):
for i in range(5):
async with cond:
p_list.append(f"{n}-{i}")
print(f"[生产者{n}]生产商品{n}-{i}")
# 通知任意一个消费者
cond.notify() # 通知全部消费者：cond.notify_all()
# 摸拟一个耗时操作
await asyncio.s... | 23.333333 | 75 | 0.526667 | 0 | 0 | 0 | 0 | 0 | 0 | 1,084 | 0.895868 | 357 | 0.295041 |
deb039b791ed71607787c0d4ffc9f5bb4edef521 | 930 | py | Python | Q846_Hand-of-Straights.py | xiaosean/leetcode_python | 844ece02d699bfc620519bd94828ed0e18597f3e | [
"MIT"
] | null | null | null | Q846_Hand-of-Straights.py | xiaosean/leetcode_python | 844ece02d699bfc620519bd94828ed0e18597f3e | [
"MIT"
] | null | null | null | Q846_Hand-of-Straights.py | xiaosean/leetcode_python | 844ece02d699bfc620519bd94828ed0e18597f3e | [
"MIT"
] | null | null | null | from collections import Counter
class Solution:
def isNStraightHand(self, hand: List[int], W: int) -> bool:
n = len(hand)
groups = 0
if n == 0 or n % W != 0:
return False
groups_num = n // W
c = Counter(hand)
keys = list(c.keys())
keys.sort()
... | 31 | 63 | 0.410753 | 889 | 0.955914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
deb1c543d933d4026fb5899f87ff8c3384301fea | 174 | py | Python | hover/utils/misc.py | haochuanwei/hover | 53eb38c718e44445b18a97e391b7f90270802b04 | [
"MIT"
] | 1 | 2020-12-08T13:04:18.000Z | 2020-12-08T13:04:18.000Z | hover/utils/misc.py | MaxCodeXTC/hover | feeb0e0c59295a3c883823ccef918dfe388b603c | [
"MIT"
] | null | null | null | hover/utils/misc.py | MaxCodeXTC/hover | feeb0e0c59295a3c883823ccef918dfe388b603c | [
"MIT"
] | null | null | null | """Mini-functions that do not belong elsewhere."""
from datetime import datetime
def current_time(template="%Y%m%d %H:%M:%S"):
return datetime.now().strftime(template)
| 24.857143 | 50 | 0.718391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.385057 |
deb28e42e8f7639fbbb2df4266120ee03fd2a028 | 193 | py | Python | admin.py | sfchronicle/najee | 0c66b05ba10616243d9828465da97dee7bfedc0d | [
"MIT",
"Unlicense"
] | null | null | null | admin.py | sfchronicle/najee | 0c66b05ba10616243d9828465da97dee7bfedc0d | [
"MIT",
"Unlicense"
] | null | null | null | admin.py | sfchronicle/najee | 0c66b05ba10616243d9828465da97dee7bfedc0d | [
"MIT",
"Unlicense"
] | null | null | null | import flask_admin as admin
# from flask_admin.contrib.sqla import ModelView
from app import app
# from app import db
from models import *
# Admin
admin = admin.Admin(app)
# Add Admin Views
| 16.083333 | 48 | 0.766839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.476684 |
deb449183523148b00bdabf18e21714bbe3551c8 | 467 | py | Python | src/courses/migrations/0006_auto_20200521_2038.py | GiomarOsorio/another-e-learning-platform | 5cfc76420eb3466691f5187c915c179afb13199a | [
"MIT"
] | null | null | null | src/courses/migrations/0006_auto_20200521_2038.py | GiomarOsorio/another-e-learning-platform | 5cfc76420eb3466691f5187c915c179afb13199a | [
"MIT"
] | 8 | 2020-06-25T22:16:20.000Z | 2022-03-12T00:39:27.000Z | src/courses/migrations/0006_auto_20200521_2038.py | GiomarOsorio/another-e-learning-platform | 5cfc76420eb3466691f5187c915c179afb13199a | [
"MIT"
] | null | null | null | # Generated by Django 3.0.6 on 2020-05-21 20:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('courses', '0005_auto_20200521_2038'),
]
operations = [
migrations.AlterField(
model_name='module',
name='segments',
... | 24.578947 | 129 | 0.631692 | 374 | 0.800857 | 0 | 0 | 0 | 0 | 0 | 0 | 163 | 0.349036 |
deb684b2e0198456aadb77cab383b2b6c0c2748f | 776 | py | Python | mypi/settings.py | sujaymansingh/mypi | 768bdda2ed43faba8a69c7985ee063e1016b9299 | [
"BSD-2-Clause-FreeBSD"
] | 4 | 2016-08-22T17:13:43.000Z | 2020-10-21T16:50:07.000Z | mypi/settings.py | sujaymansingh/mypi | 768bdda2ed43faba8a69c7985ee063e1016b9299 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | mypi/settings.py | sujaymansingh/mypi | 768bdda2ed43faba8a69c7985ee063e1016b9299 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2016-08-22T17:13:47.000Z | 2016-08-22T17:13:47.000Z | import os
def import_module(name):
module = __import__(name)
components = name.split('.')
for components in components[1:]:
module = getattr(module, components)
return module
# We should try to import any custom settings.
SETTINGS_MODULE_NAME = os.getenv("MYPI_SETTINGS_MODULE")
if SETTINGS_M... | 29.846154 | 72 | 0.744845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 218 | 0.280928 |
deb7178741e12b76740cccb10cf2e3f8e186116d | 1,866 | py | Python | alipay/aop/api/domain/KbAdvertPreserveCommissionClause.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/KbAdvertPreserveCommissionClause.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/KbAdvertPreserveCommissionClause.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.constant.ParamConstants import *
class KbAdvertPreserveCommissionClause(object):
def __init__(self):
self._claimer_id_type = None
self._claimers = None
@property
def claimer_id_type(self):
... | 29.15625 | 81 | 0.587889 | 1,735 | 0.929796 | 0 | 0 | 730 | 0.391211 | 0 | 0 | 200 | 0.107181 |
deba0ac91a90f7d9408ab094dc6d137f7476170c | 4,495 | py | Python | smart_contract/__init__.py | publicqi/CTFd-Fox | b1d0169db884cdf3cb665faa8987443e7630d108 | [
"MIT"
] | 1 | 2021-01-09T15:20:14.000Z | 2021-01-09T15:20:14.000Z | smart_contract/__init__.py | publicqi/CTFd-Fox | b1d0169db884cdf3cb665faa8987443e7630d108 | [
"MIT"
] | null | null | null | smart_contract/__init__.py | publicqi/CTFd-Fox | b1d0169db884cdf3cb665faa8987443e7630d108 | [
"MIT"
] | null | null | null | from __future__ import division # Use floating point for math calculations
from flask import Blueprint
from CTFd.models import (
ChallengeFiles,
Challenges,
Fails,
Flags,
Hints,
Solves,
Tags,
db,
)
from CTFd.plugins import register_plugin_assets_directory
from CTFd.plugins.challenges... | 32.338129 | 87 | 0.629588 | 3,825 | 0.850945 | 0 | 0 | 3,102 | 0.6901 | 0 | 0 | 653 | 0.145273 |
deba5b19ee11e4b42757cf8302210ae77f1c6474 | 295 | py | Python | 01-data_types/d13.py | philiphinton/learn_python | 6ddfe3c7818d6c919bfa49bd6302c75ee761b6a4 | [
"MIT"
] | null | null | null | 01-data_types/d13.py | philiphinton/learn_python | 6ddfe3c7818d6c919bfa49bd6302c75ee761b6a4 | [
"MIT"
] | 3 | 2022-01-17T22:55:09.000Z | 2022-01-26T07:26:13.000Z | 01-data_types/d13.py | philiphinton/learn_python | 6ddfe3c7818d6c919bfa49bd6302c75ee761b6a4 | [
"MIT"
] | 1 | 2021-12-14T01:33:21.000Z | 2021-12-14T01:33:21.000Z |
shopping_list = {
'Tomatoes': 6,
'Bananas': 5,
'Crackers': 2,
'Sugar': 1,
'Icecream': 1,
'Bread': 3,
'Chocolate': 2
}
# Just the keys
print(shopping_list.keys())
# Just the values
# print(shopping_list.values())
# Both keys and values
# print(shopping_list.items())
| 17.352941 | 31 | 0.610169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.60678 |
debc22c03ed999e303334d1da3320e421b5bfacc | 119 | py | Python | applications/jupyter-extension/nteract_on_jupyter/notebooks/utils/cb/python/__init__.py | jjhenkel/nteract | 088222484b59af14b1da22de4d0990d8925adf95 | [
"BSD-3-Clause"
] | null | null | null | applications/jupyter-extension/nteract_on_jupyter/notebooks/utils/cb/python/__init__.py | jjhenkel/nteract | 088222484b59af14b1da22de4d0990d8925adf95 | [
"BSD-3-Clause"
] | null | null | null | applications/jupyter-extension/nteract_on_jupyter/notebooks/utils/cb/python/__init__.py | jjhenkel/nteract | 088222484b59af14b1da22de4d0990d8925adf95 | [
"BSD-3-Clause"
] | null | null | null | from .surface import *
from .modifiers import *
from .evaluator import Evaluator
from .lowlevel import display_results
| 23.8 | 37 | 0.815126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
debcd3fde3c56a4f5ccca0c23d8a57a7d2afd960 | 588 | py | Python | Numbers/PrimeFac.py | Arjuna197/the100 | 2963b4fe1b1b8e673a23b2cf97f4bcb263af9781 | [
"MIT"
] | 1 | 2022-02-20T18:49:49.000Z | 2022-02-20T18:49:49.000Z | Numbers/PrimeFac.py | dan-garvey/the100 | 2963b4fe1b1b8e673a23b2cf97f4bcb263af9781 | [
"MIT"
] | 13 | 2017-12-13T02:31:54.000Z | 2017-12-13T02:37:45.000Z | Numbers/PrimeFac.py | dan-garvey/the100 | 2963b4fe1b1b8e673a23b2cf97f4bcb263af9781 | [
"MIT"
] | null | null | null | import math
from math import*
def isPrime(num):
if num%2==0 or num%3==0:
return False
for n in range(5, int(num**(1/2))):
if num%n==0:
return False
return True
print('enter a positive integer')
FacMe=int(input())
primefacts=[1]
if not isPrime(FacMe):
if FacMe... | 21.777778 | 40 | 0.547619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.044218 |
debd457fd6d2c1141a031eefaca5f163110cfa64 | 1,130 | py | Python | src/wtfjson/validators/url.py | binary-butterfly/wtfjson | 551ad07c895ce3c94ac3015b6b5ecc2102599b56 | [
"MIT"
] | null | null | null | src/wtfjson/validators/url.py | binary-butterfly/wtfjson | 551ad07c895ce3c94ac3015b6b5ecc2102599b56 | [
"MIT"
] | 1 | 2021-10-11T08:55:45.000Z | 2021-10-11T08:55:45.000Z | src/wtfjson/validators/url.py | binary-butterfly/wtfjson | 551ad07c895ce3c94ac3015b6b5ecc2102599b56 | [
"MIT"
] | null | null | null | # encoding: utf-8
"""
binary butterfly validator
Copyright (c) 2021, binary butterfly GmbH
Use of this source code is governed by an MIT-style license that can be found in the LICENSE.txt.
"""
import re
from typing import Any, Optional
from ..abstract_input import AbstractInput
from ..fields import Field
from ..vali... | 30.540541 | 103 | 0.650442 | 703 | 0.622124 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.259292 |
debe6ce18f853e6b1e54abf97ade00987edf8450 | 1,270 | py | Python | runner/run_descriptions/runs/curious_vs_vanilla.py | alex-petrenko/curious-rl | 6cd0eb78ab409c68f8dad1a8542d625f0dd39114 | [
"MIT"
] | 18 | 2018-12-29T01:52:25.000Z | 2021-11-08T06:48:20.000Z | runner/run_descriptions/runs/curious_vs_vanilla.py | alex-petrenko/curious-rl | 6cd0eb78ab409c68f8dad1a8542d625f0dd39114 | [
"MIT"
] | 2 | 2019-06-13T12:52:55.000Z | 2019-10-30T03:27:11.000Z | runner/run_descriptions/runs/curious_vs_vanilla.py | alex-petrenko/curious-rl | 6cd0eb78ab409c68f8dad1a8542d625f0dd39114 | [
"MIT"
] | 3 | 2019-05-11T07:50:53.000Z | 2021-11-18T08:15:56.000Z | from runner.run_descriptions.run_description import RunDescription, Experiment, ParamGrid
_params = ParamGrid([
('prediction_bonus_coeff', [0.00, 0.05]),
])
_experiments = [
Experiment(
'doom_maze_very_sparse',
'python -m algorithms.curious_a2c.train_curious_a2c --env=doom_maze_very_sparse --g... | 40.967742 | 145 | 0.711024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 858 | 0.675591 |
debed6abf0cd6d720ad9aac4713a4ef0c18b842a | 383 | py | Python | xappt_qt/__init__.py | cmontesano/xappt_qt | 74f8c62e0104a67b4b4eb65382df851221bf0bab | [
"MIT"
] | null | null | null | xappt_qt/__init__.py | cmontesano/xappt_qt | 74f8c62e0104a67b4b4eb65382df851221bf0bab | [
"MIT"
] | 12 | 2020-10-11T22:42:12.000Z | 2021-10-04T19:38:51.000Z | xappt_qt/__init__.py | cmontesano/xappt_qt | 74f8c62e0104a67b4b4eb65382df851221bf0bab | [
"MIT"
] | 1 | 2021-09-29T23:53:34.000Z | 2021-09-29T23:53:34.000Z | import os
from xappt_qt.__version__ import __version__, __build__
from xappt_qt.plugins.interfaces.qt import QtInterface
# suppress "qt.qpa.xcb: QXcbConnection: XCB error: 3 (BadWindow)"
os.environ['QT_LOGGING_RULES'] = '*.debug=false;qt.qpa.*=false'
version = tuple(map(int, __version__.split('.'))) + (__build__, )... | 27.357143 | 65 | 0.749347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.375979 |
dec0b14005ec6feafc62d8f18253556640fa35db | 145,150 | py | Python | py/countdowntourney.py | elocemearg/atropine | 894010bcc89d4e6962cf3fc15ef526068c38898d | [
"CC-BY-4.0"
] | null | null | null | py/countdowntourney.py | elocemearg/atropine | 894010bcc89d4e6962cf3fc15ef526068c38898d | [
"CC-BY-4.0"
] | null | null | null | py/countdowntourney.py | elocemearg/atropine | 894010bcc89d4e6962cf3fc15ef526068c38898d | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/python3
import sys
import sqlite3;
import re;
import os;
import random
import qualification
from cttable import CandidateTable, TableVotingGroup, PhantomTableVotingGroup
import cttable
SW_VERSION_SPLIT = (1, 1, 4)
SW_VERSION = ".".join([str(x) for x in SW_VERSION_SPLIT])
EARLIEST_COMPATIBLE_DB_VERSION = (... | 39.691004 | 388 | 0.586035 | 121,193 | 0.83495 | 0 | 0 | 129 | 0.000889 | 0 | 0 | 52,514 | 0.361791 |
dec0da50ce4a56fc78832aa67c6d71d1a1a1c437 | 995 | py | Python | t/plugin/plugin_020deploy_test.py | jrmsdev/pysadm | 0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37 | [
"BSD-3-Clause"
] | 1 | 2019-10-15T08:37:56.000Z | 2019-10-15T08:37:56.000Z | t/plugin/plugin_020deploy_test.py | jrmsdev/pysadm | 0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37 | [
"BSD-3-Clause"
] | null | null | null | t/plugin/plugin_020deploy_test.py | jrmsdev/pysadm | 0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Jeremías Casteglione <[email protected]>
# See LICENSE file.
from glob import glob
from os import path, makedirs
def test_deploy_testing(testing_plugin):
makedirs(path.join('tdata', 'deploy', 'plugin'), exist_ok = True)
p = testing_plugin('testing', ns = '_sadmtest', deploy = True)
print('-- deploy... | 36.851852 | 80 | 0.676382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 261 | 0.262048 |
dec30d56b6d0887d305f33e490a67d25b3dd39cd | 4,189 | py | Python | jsonReadWrite.py | nsobczak/ActivityWatchToCSV | cefb67e9f1c834008f2b39c0baf6c7c506327a4d | [
"Apache-2.0"
] | null | null | null | jsonReadWrite.py | nsobczak/ActivityWatchToCSV | cefb67e9f1c834008f2b39c0baf6c7c506327a4d | [
"Apache-2.0"
] | null | null | null | jsonReadWrite.py | nsobczak/ActivityWatchToCSV | cefb67e9f1c834008f2b39c0baf6c7c506327a4d | [
"Apache-2.0"
] | null | null | null | """
##############
# jsonReader #
##############
"""
# Import
import json
from platform import system
from enum import Enum
from datetime import timedelta
# %% ____________________________________________________________________________________________________
# ____________________________________________________... | 30.136691 | 121 | 0.545476 | 59 | 0.014085 | 0 | 0 | 0 | 0 | 0 | 0 | 1,951 | 0.465744 |
dec3721fd14d0e108bf21ac443dd1b7796946011 | 286 | py | Python | pythons/reTesting.py | whats2000/coding-stuff-I-make-from-learning | d82809ba12f9d74bdb41eca5ba8f12f4cd96929e | [
"MIT"
] | null | null | null | pythons/reTesting.py | whats2000/coding-stuff-I-make-from-learning | d82809ba12f9d74bdb41eca5ba8f12f4cd96929e | [
"MIT"
] | null | null | null | pythons/reTesting.py | whats2000/coding-stuff-I-make-from-learning | d82809ba12f9d74bdb41eca5ba8f12f4cd96929e | [
"MIT"
] | null | null | null | import re
test = input("請輸入字串 : ")
test.encode('unicode-escape').decode().replace('\\\\', '\\')
print("輸入為 : "+test)
if re.match(test, "a"):
print(test + " Match 1")
if re.match(test, "aa"):
print(test + " Match 2")
if re.match(test, "aaaa"):
print(test + " Match 3")
| 16.823529 | 60 | 0.562937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.34106 |
dec3efd877d3ce87cbe9fc53530bf43be70d8149 | 306 | py | Python | 2021-12-23/1.py | xiaozhiyuqwq/seniorschool | 7375038b00a6d2deaec5d70bfac25ddbf4d2558e | [
"Apache-2.0"
] | null | null | null | 2021-12-23/1.py | xiaozhiyuqwq/seniorschool | 7375038b00a6d2deaec5d70bfac25ddbf4d2558e | [
"Apache-2.0"
] | null | null | null | 2021-12-23/1.py | xiaozhiyuqwq/seniorschool | 7375038b00a6d2deaec5d70bfac25ddbf4d2558e | [
"Apache-2.0"
] | null | null | null | #初始化
t=0
#运算
for x in range(1,9):
for y in range(1,11):
for z in range(1,13):
if 6*x+5*y+4*z==50:
print("计算出x值为 ",x," y值为 ",y," z值为 ",z," 。")
t=t+1
print("计算出一共有 {} 个结果。".format(t))
#by xiaozhiyuqwq
#https://www.rainyat.work
#2021-12-23
| 21.857143 | 60 | 0.46732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.441011 |
dec6337c650811d4d0bda0d9fb32eb5e333b7344 | 15,088 | py | Python | Project-2/Ishan Pandey/job_compare.py | Mercury1508/IEEE-LEAD-2.0 | 91d24ccf2f24c62f92f0d23bcfcb3988e6d5acd8 | [
"MIT"
] | 1 | 2021-06-03T16:08:33.000Z | 2021-06-03T16:08:33.000Z | Project-2/Ishan Pandey/job_compare.py | Mercury1508/IEEE-LEAD-2.0 | 91d24ccf2f24c62f92f0d23bcfcb3988e6d5acd8 | [
"MIT"
] | 16 | 2021-04-27T12:58:03.000Z | 2021-05-28T14:02:14.000Z | Project-2/Ishan Pandey/job_compare.py | Mercury1508/IEEE-LEAD-2.0 | 91d24ccf2f24c62f92f0d23bcfcb3988e6d5acd8 | [
"MIT"
] | 70 | 2021-04-26T13:48:35.000Z | 2021-05-28T21:04:34.000Z | # from job_scrapper_gui import naukri_gui
from tkinter import *
from PIL import ImageTk
import PIL.Image
import naukri_scrapper
import linkedin_scrapper
import indeed
import simply_hired_scrapper
from selenium import webdriver
root = Tk()
root.title("Compare Jobs")
root.geometry("1000x670")
root.configure(background=... | 57.808429 | 176 | 0.696911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,716 | 0.246288 |
dec771d07fef05c3b6f9bec75d34bca56cffa1b5 | 3,648 | py | Python | data_augmentor/multidimension.py | ZhiangChen/tornado_ML | d8bded61a6a234ca67e31776bc8576c6c18f5621 | [
"MIT"
] | 2 | 2018-12-09T20:08:51.000Z | 2021-02-01T17:49:14.000Z | data_augmentor/multidimension.py | ZhiangChen/tornado_ML | d8bded61a6a234ca67e31776bc8576c6c18f5621 | [
"MIT"
] | 1 | 2019-11-15T06:15:03.000Z | 2019-11-15T06:15:03.000Z | multidimension.py | DREAMS-lab/data_augmentor | f204ee3af805b17d9946d3d5c6e7ca62398f09e5 | [
"MIT"
] | null | null | null | """
multispectrum
Zhiang Chen,
Feb, 2020
"""
import gdal
import cv2
import numpy as np
import math
import os
class MultDim(object):
def __init__(self):
pass
def readTiff(self, tif_file, channel=3):
self.ds = gdal.Open(tif_file)
B = self.ds.GetRasterBand(1).ReadAsArray()
G = se... | 35.076923 | 105 | 0.569353 | 2,394 | 0.65625 | 0 | 0 | 0 | 0 | 0 | 0 | 1,170 | 0.320724 |
dec7a039bcd25fbdc90d163100b8870f23f0424a | 399 | py | Python | tests/serializers/test_template_data_serializers.py | banillie/bcompiler-engine | 26b63b6e630e2925175ffff6b48b42d70f7ba544 | [
"MIT"
] | 2 | 2019-09-23T08:51:48.000Z | 2019-10-14T08:44:28.000Z | tests/serializers/test_template_data_serializers.py | banillie/bcompiler-engine | 26b63b6e630e2925175ffff6b48b42d70f7ba544 | [
"MIT"
] | 27 | 2019-07-08T11:15:03.000Z | 2020-06-22T15:47:25.000Z | tests/serializers/test_template_data_serializers.py | yulqen/bcompiler-engine | 40eff19e04eabacac991bb34d31a7e7a7d6b729a | [
"MIT"
] | 1 | 2019-09-07T14:05:16.000Z | 2019-09-07T14:05:16.000Z | import json
from engine.serializers.template import TemplateCellSerializer
def test_template_cell_to_dict(template_cell_obj):
assert template_cell_obj.to_dict()["sheet_name"] == "Test Sheet 1"
def test_template_cell_serializer(template_cell_obj):
json_output = json.dumps(template_cell_obj, cls=TemplateCell... | 30.692308 | 75 | 0.802005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.130326 |