xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

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

krpc_client.py

janismac/ksp_rtls_launch_to_rendezvous

195ebfb5aacf1a857aaaf0a69bf071d93d887efd

[ "Apache-2.0" ]

null

krpc_client.py

janismac/ksp_rtls_launch_to_rendezvous

195ebfb5aacf1a857aaaf0a69bf071d93d887efd

[ "Apache-2.0" ]

1

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 ...

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de4fbddd1a8e5c3c47f15c39acb99e707f22e65b

617

py

Python

src/alerter.py

Jawgo/DiscordBot

43dccce80aa8d8bd51b44c0de732fd70d9194672

[ "MIT" ]

null

src/alerter.py

Jawgo/DiscordBot

43dccce80aa8d8bd51b44c0de732fd70d9194672

[ "MIT" ]

null

src/alerter.py

Jawgo/DiscordBot

43dccce80aa8d8bd51b44c0de732fd70d9194672

[ "MIT" ]

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...

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null

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1

0

de50a4c4fb04e2350cc10caa2aea9a7a75fcac8c

4,593

py

Python

dataset_preproc/preproc_video/face_extract.py

RicardoP0/multimodal-matchmap

aa44c574a57073833004172734394882889d8d3b

[ "MIT" ]

null

dataset_preproc/preproc_video/face_extract.py

RicardoP0/multimodal-matchmap

aa44c574a57073833004172734394882889d8d3b

[ "MIT" ]

null

dataset_preproc/preproc_video/face_extract.py

RicardoP0/multimodal-matchmap

aa44c574a57073833004172734394882889d8d3b

[ "MIT" ]

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...

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null

0

1

0

de51709d96e27d7e3576d5ee6ad6f2ebabdc7ebc

1,441

py

Python

launch/gazebo.launch.py

fly4future/fog_gazebo_resources

1af1aa2d3a5e7c67bf39605655ca96a154daa4b3

[ "BSD-3-Clause" ]

null

launch/gazebo.launch.py

fly4future/fog_gazebo_resources

1af1aa2d3a5e7c67bf39605655ca96a154daa4b3

[ "BSD-3-Clause" ]

null

launch/gazebo.launch.py

fly4future/fog_gazebo_resources

1af1aa2d3a5e7c67bf39605655ca96a154daa4b3

[ "BSD-3-Clause" ]

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...

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0.37037

0

null

0

null

0

1

0

1

de5241403b212e20d0b5a9c1eb86d5461e49bad7

957

py

Python

hlrl/torch/utils/contexts/training.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/utils/contexts/training.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/utils/contexts/training.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

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. """ ...

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null

0

null

0

1

0

de53cfe343832488633720622d964252c48b5617

3,180

py

Python

test/test_postfix.py

JoseTomasTocino/toptal-calculator

baeb69fdeca81699d655e1f2f11f03f2a3972ab7

[ "Unlicense" ]

null

test/test_postfix.py

JoseTomasTocino/toptal-calculator

baeb69fdeca81699d655e1f2f11f03f2a3972ab7

[ "Unlicense" ]

null

test/test_postfix.py

JoseTomasTocino/toptal-calculator

baeb69fdeca81699d655e1f2f11f03f2a3972ab7

[ "Unlicense" ]

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...

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null

0

1

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null

0

6

de55352cff35ae8596924966eb4c23a46054b461

1,124

py

Python

Weather API/app.py

TanushreeShaw/Weather

0bebe029536f579bbd9d28c07d3e33f3438a1a56

[ "MIT" ]

null

Weather API/app.py

TanushreeShaw/Weather

0bebe029536f579bbd9d28c07d3e33f3438a1a56

[ "MIT" ]

null

Weather API/app.py

TanushreeShaw/Weather

0bebe029536f579bbd9d28c07d3e33f3438a1a56

[ "MIT" ]

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...

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1,124

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null

0

null

0

1

0

1

de559c2b5884fa9c7d514b793b602e0875f672ea

561

py

Python

core/urls.py

cybernetisk/internsystem

b81faa0deef08153032e56d5740173e5a6cf3ad9

[ "MIT" ]

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...

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0.478873

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0.136054

0.172336

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0.098039

561

16

77

35.0625

0.871542

0.11943

0

0.136179

0

1

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false

0

0.333333

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0.333333

0

null

0

1

0

null

0

1

0

2

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

flora_tools/experiments/measure_time_irq_process.py

Atokulus/flora-tools

6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0

[ "MIT" ]

null

flora_tools/experiments/measure_time_irq_process.py

Atokulus/flora-tools

6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0

[ "MIT" ]

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 ...

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null

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null

0

1

0

de5e91c132fdc9f05dd13b11b8708a82b0c0f470

213

py

Python

6P/REDES/restAPI/main/serializers.py

rwnicholas/fluffy-potato

52ccd25cf77f8cebce1420e7fe9028a277811986

[ "MIT" ]

null

6P/REDES/restAPI/main/serializers.py

rwnicholas/fluffy-potato

52ccd25cf77f8cebce1420e7fe9028a277811986

[ "MIT" ]

null

6P/REDES/restAPI/main/serializers.py

rwnicholas/fluffy-potato

52ccd25cf77f8cebce1420e7fe9028a277811986

[ "MIT" ]

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')

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de5f40f2fa117e9d234c38567381795609e6e892

183

py

Python

gpytorch/kernels/keops/__init__.py

wjmaddox/gpytorch

679f437fa71f8e15d98b3d256924ecf4b52c0448

[ "MIT" ]

1

2019-09-16T16:58:54.000Z

gpytorch/kernels/keops/__init__.py

wjmaddox/gpytorch

679f437fa71f8e15d98b3d256924ecf4b52c0448

[ "MIT" ]

null

gpytorch/kernels/keops/__init__.py

wjmaddox/gpytorch

679f437fa71f8e15d98b3d256924ecf4b52c0448

[ "MIT" ]

null

from .matern_kernel import MaternKernel from .rbf_kernel import RBFKernel from .spectralgp_kernel import SpectralGPKernel __all__ = ["MaternKernel", "RBFKernel", "SpectralGPKernel"]

30.5

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4

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

bc/recruitment/migrations/0018_merge_20200324_1630.py

Buckinghamshire-Digital-Service/buckinghamshire-council

bbbdb52b515bcdfc79a2bd9198dfa4828405370e

[ "BSD-3-Clause" ]

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

# 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 = []

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de61aeb69172f0bbf84a85482ba65c30efe863a2

1,901

py

Python

main.py

SHGoldfarb/fantastic-barnacle

64650155ef8172530a6f88be6e7361bfc7e6bfa2

[ "MIT" ]

null

main.py

SHGoldfarb/fantastic-barnacle

64650155ef8172530a6f88be6e7361bfc7e6bfa2

[ "MIT" ]

null

main.py

SHGoldfarb/fantastic-barnacle

64650155ef8172530a6f88be6e7361bfc7e6bfa2

[ "MIT" ]

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...

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null

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de6435cdbc67360ee94636dc50bd704495e2b720

382

py

Python

dump/yoloCarAccident/generate.py

lovishchopra/ITRI-Car-Accident

96a1ffa25eacfb2885ea1fa0852a91c8bb5ec95d

[ "MIT" ]

null

dump/yoloCarAccident/generate.py

lovishchopra/ITRI-Car-Accident

96a1ffa25eacfb2885ea1fa0852a91c8bb5ec95d

[ "MIT" ]

null

dump/yoloCarAccident/generate.py

lovishchopra/ITRI-Car-Accident

96a1ffa25eacfb2885ea1fa0852a91c8bb5ec95d

[ "MIT" ]

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...

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null

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de65eb26862ea6588043a83de4e49020ae4daf2c

1,853

py

Python

socketserver_extra.py

sim642/pyqwebirc

cd0cc120eacd3eea60b827ff7b2b157ab4a5dd1e

[ "MIT" ]

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

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...

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0.066667

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0.466667

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null

0

null

0

1

0

1

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

train_n_test/train_decoder.py

kamieen03/style-transfer-net

c9f56aa579553be8c72f37ce975ba88dbd775605

[ "BSD-2-Clause" ]

1

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...

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de69814605b1835959a1ffdafc1b9774d60d18ad

75

py

Python

utils/__init__.py

bitst0rm-st3/AutomaticPackageReloader

b48699420ccadb3c1a8796a1a7275f70089f0934

[ "MIT" ]

null

utils/__init__.py

bitst0rm-st3/AutomaticPackageReloader

b48699420ccadb3c1a8796a1a7275f70089f0934

[ "MIT" ]

null

utils/__init__.py

bitst0rm-st3/AutomaticPackageReloader

b48699420ccadb3c1a8796a1a7275f70089f0934

[ "MIT" ]

null

from .progress_bar import ProgressBar from .read_config import read_config

25

37

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1

0

1

0

1

0

6

de6c1a64c58a8aca902a8fc78dd2204b84031a65

2,871

py

Python

src/main/create/c_chains_user_json.py

WikiCommunityHealth/wikimedia-revert

b584044d8b6a61a79d98656db356bf1f74d23ee0

[ "MIT" ]

null

src/main/create/c_chains_user_json.py

WikiCommunityHealth/wikimedia-revert

b584044d8b6a61a79d98656db356bf1f74d23ee0

[ "MIT" ]

null

src/main/create/c_chains_user_json.py

WikiCommunityHealth/wikimedia-revert

b584044d8b6a61a79d98656db356bf1f74d23ee0

[ "MIT" ]

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

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null

0

null

0

1

0

de6c4ab063a946c3b3fd6bbb89fa20997b2be723

5,105

py

Python

src/carts/views.py

dhaval6552/ecommerce-2

ab80fbbf15c0fbd37db94cfd7aa9a3ac0b46c737

[ "MIT" ]

null

src/carts/views.py

dhaval6552/ecommerce-2

ab80fbbf15c0fbd37db94cfd7aa9a3ac0b46c737

[ "MIT" ]

null

src/carts/views.py

dhaval6552/ecommerce-2

ab80fbbf15c0fbd37db94cfd7aa9a3ac0b46c737

[ "MIT" ]

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...

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null

0.007407

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null

0

null

0

1

0

1

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...

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721

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72

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0.111111

false

0.055556

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0

0.388889

0

null

0

null

0

1

0

1

de725902f24523dc4f0cb06e33505cadc76a710c

38,783

py

Python

pysim/epcstd.py

larioandr/thesis-rfidsim

6a5b3ef02964ff2d49bf5dae55af270801af28a5

[ "MIT" ]

null

pysim/epcstd.py

larioandr/thesis-rfidsim

6a5b3ef02964ff2d49bf5dae55af270801af28a5

[ "MIT" ]

null

pysim/epcstd.py

larioandr/thesis-rfidsim

6a5b3ef02964ff2d49bf5dae55af270801af28a5

[ "MIT" ]

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

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0.592682

5,045

38,783

4.338949

0.072745

0.031978

0.026313

0.03682

0.561032

0.47428

0.413294

0.377889

0.326039

0.288899

0

0.027396

0.254596

38,783

1,266

80

30.634281

0.729807

0.021762

0

0.293651

0

0.004535

0.046056

0.017389

0

0.002377

0.00079

0.003401

1

0.205215

false

0.005669

0.004535

0.11678

0.480726

0

null

0

null

0

1

0

1

0

2

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

Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py

dingwenzheng730/Leet

c08bd48e8dcc6bca41134d218d39f66bfc112eaf

[ "MIT" ]

null

Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py

dingwenzheng730/Leet

c08bd48e8dcc6bca41134d218d39f66bfc112eaf

[ "MIT" ]

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

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0.611333

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1,500

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0.079821

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135

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1

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null

0

null

0

1

0

de73b0477272b09621a0a7e87406fe9c6c2a1f06

5,088

py

Python

baseStation/test/vision/service/test_visionService.py

olgam4/design3

6e05d123a24deae7dda646df535844a158ef5cc0

[ "WTFPL" ]

null

baseStation/test/vision/service/test_visionService.py

olgam4/design3

6e05d123a24deae7dda646df535844a158ef5cc0

[ "WTFPL" ]

null

baseStation/test/vision/service/test_visionService.py

olgam4/design3

6e05d123a24deae7dda646df535844a158ef5cc0

[ "WTFPL" ]

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

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5.459588

0.179081

0.069666

0.073149

0.027576

0.501306

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0.34717

0.327431

0.297823

0

0.009035

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5,088

111

118

45.837838

0.832234

0

0.235294

0

0.001376

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0.105882

false

0

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0

0.294118

0

null

0

null

0

1

0

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

bmdal/layer_features.py

dholzmueller/bmdal_reg

1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf

[ "Apache-2.0" ]

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

1,148

8,753

5.026132

0.203833

0.02669

0.016984

0.014558

0.278336

0.238821

0.217331

0.188215

0.174697

0

0.003487

0.24643

8,753

197

119

44.431472

0.871286

0.434251

0

0.202381

0

1

0.190476

false

0

0.02381

0.333333

0

null

0

null

0

1

0

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

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

3,818

35,389

5.602672

0.130959

0.019962

0.018653

0.008882

0.316395

0.192558

0.117433

0.102286

0.086532

0.063718

0

0.009658

0.271469

35,389

697

122

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0

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1

0.047619

false

0.009158

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0

0.084249

0

null

0

null

0

1

0

de7659b57f254205c0bc591d8af1e1375127f4d8

336

py

Python

Chat app/Check IP.py

ArturWagnerBusiness/Projects-2018-2020

37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4

[ "MIT" ]

null

Chat app/Check IP.py

ArturWagnerBusiness/Projects-2018-2020

37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4

[ "MIT" ]

null

Chat app/Check IP.py

ArturWagnerBusiness/Projects-2018-2020

37a217dc325f3ba42d8a7a1a743e5b6f8fab5df4

[ "MIT" ]

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

37

336

6.540541

0.675676

0.016529

0

0.043321

0.175595

336

13

60

25.846154

0.830325

0.779762

0

0.125

0

1

0

false

0

0.333333

0

0.333333

0

null

0

null

0

1

0

1

de766a3b6f5c4477c098e9f336005c2394afbbc1

1,506

py

Python

app/api/api_v1/tasks/emails.py

cdlaimin/fastapi

4acf1a1da4a1eedd81a3bdf6256661c2464928b9

[ "BSD-3-Clause" ]

null

app/api/api_v1/tasks/emails.py

cdlaimin/fastapi

4acf1a1da4a1eedd81a3bdf6256661c2464928b9

[ "BSD-3-Clause" ]

null

app/api/api_v1/tasks/emails.py

cdlaimin/fastapi

4acf1a1da4a1eedd81a3bdf6256661c2464928b9

[ "BSD-3-Clause" ]

null

# -*- encoding: utf-8 -*- """ @File : emails.py @Contact : 1053522308@qq.com @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

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0.023835

0

0.045075

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1,506

43

109

35.023256

0.725376

0.199867

0

0.08

0.22807

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0

1

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false

0.04

0.2

0

0.24

0.04

0

null

0

null

0

1

0

de76f5e1a1407299a65c28e63772cca898458059

13,487

py

Python

lightwood/encoders/text/distilbert.py

ritwik12/lightwood

7975688355fba8b0f8349dd55a1b6cb625c3efd0

[ "MIT" ]

null

lightwood/encoders/text/distilbert.py

ritwik12/lightwood

7975688355fba8b0f8349dd55a1b6cb625c3efd0

[ "MIT" ]

null

lightwood/encoders/text/distilbert.py

ritwik12/lightwood

7975688355fba8b0f8349dd55a1b6cb625c3efd0

[ "MIT" ]

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

1,740

13,487

4.932759

0.183333

0.026215

0.009088

0.018758

0.499243

0.464406

0.40487

0.372364

0.366888

0

0.013556

0.228813

13,487

286

457

47.157343

0.811653

0.061837

0

0.308824

0

0.056413

0.007437

0

0.003497

0

1

0.034314

false

0.004902

0.098039

0

0.151961

0.009804

0

null

0

null

0

1

0

de775456d4d41592b9970922b77c527e29122163

4,542

py

Python

scripts/scopdominfo.py

stivalaa/cuda_satabsearch

b947fb711f8b138e5a50c81e7331727c372eb87d

[ "MIT" ]

null

scripts/scopdominfo.py

stivalaa/cuda_satabsearch

b947fb711f8b138e5a50c81e7331727c372eb87d

[ "MIT" ]

null

scripts/scopdominfo.py

stivalaa/cuda_satabsearch

b947fb711f8b138e5a50c81e7331727c372eb87d

[ "MIT" ]

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

592

4,542

4.548986

0.3125

0.008912

0.018567

0.015596

0.157817

0.103231

0.017081

0

0.017721

0.192426

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147

149

30.897959

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0

0.06383

0

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0

1

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false

0

0.06383

0

0.12766

0

null

0

null

0

1

0

de79c16d6df471bd5320f3fc4154354634f400a7

1,334

py

Python

serverless/pytorch/foolwood/siammask/nuclio/model_handler.py

arthurtibame/cvat

0062ecdec34a9ffcad33e1664a7cac663bec4ecf

[ "MIT" ]

null

serverless/pytorch/foolwood/siammask/nuclio/model_handler.py

arthurtibame/cvat

0062ecdec34a9ffcad33e1664a7cac663bec4ecf

[ "MIT" ]

null

serverless/pytorch/foolwood/siammask/nuclio/model_handler.py

arthurtibame/cvat

0062ecdec34a9ffcad33e1664a7cac663bec4ecf

[ "MIT" ]

1

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

166

1,334

4.813253

0.463855

0.050063

0.060075

0.035044

0.042553

0

0.006122

0.265367

1,334

38

94

35.105263

0.809184

0.073463

0

0.093648

0.038274

0

1

0.076923

false

0

0.115385

0

0.307692

0

null

0

null

0

1

0

de79c50bcf2db093ce388c48ecf4f5cdef4ddb45

10,842

py

Python

pynmt/__init__.py

obrmmk/demo

b5deb85b2b2bf118b850f93c255ee88d055156a8

[ "MIT" ]

null

pynmt/__init__.py

obrmmk/demo

b5deb85b2b2bf118b850f93c255ee88d055156a8

[ "MIT" ]

null

pynmt/__init__.py

obrmmk/demo

b5deb85b2b2bf118b850f93c255ee88d055156a8

[ "MIT" ]

1

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

1,348

10,842

4.735905

0.207715

0.019737

0.012061

0.016291

0.181391

0.124843

0.110902

0.099937

0.053258

0.039474

0

0.011876

0.269969

10,842

299

169

36.26087

0.794694

0.078676

0

0.068966

0

0.020833

0.006643

0

1

0.098522

false

0

0.059113

0.029557

0.256158

0.004926

0

null

0

null

0

1

0

de7a78e426a815b7bd976727be3160a469af797a

9,185

py

Python

probedb/certs/builddb.py

dingdang2012/tlsprober

927f6177939470235bf336bca27096369932fc66

[ "Apache-2.0" ]

1

2019-01-30T13:18:02.000Z

probedb/certs/builddb.py

dingdang2012/tlsprober

927f6177939470235bf336bca27096369932fc66

[ "Apache-2.0" ]

null

probedb/certs/builddb.py

dingdang2012/tlsprober

927f6177939470235bf336bca27096369932fc66

[ "Apache-2.0" ]

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

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0.706369

1,256

9,185

4.978503

0.184713

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0.080921

0.006397

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0.379978

0.324004

0.304014

0

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9,185

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164

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0

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0

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0

null

0.008163

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null

0.077551

0

null

0

null

0

1

0

1

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

Alp/cap_alp/E.py

Ashokkommi0001/patterns

daa1a1d8f3bc6e021e02a0e34458e2c178fc71d2

[ "MIT" ]

1

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: ...

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1

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null

0

2

de7c4534ed26f1d3158aaf6b53415fa79e0c249d

574

py

Python

patron/__init__.py

rafaelaraujobsb/patron

b2d23d4149a5f48156a4a2b0638daac33a66cc6a

[ "MIT" ]

null

patron/__init__.py

rafaelaraujobsb/patron

b2d23d4149a5f48156a4a2b0638daac33a66cc6a

[ "MIT" ]

null

patron/__init__.py

rafaelaraujobsb/patron

b2d23d4149a5f48156a4a2b0638daac33a66cc6a

[ "MIT" ]

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": "", ...

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0

null

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null

0

1

0

de7dc549a1952d8dda02b33f493f1bb859b37917

735

py

Python

src/perceptron.py

tomoki/deep-learning-from-scratch

0b6144806b6b79462d6d65616a64b1774f876973

[ "MIT" ]

1

2018-08-31T09:39:11.000Z

src/perceptron.py

tomoki/deep-learning-from-scratch

0b6144806b6b79462d6d65616a64b1774f876973

[ "MIT" ]

null

src/perceptron.py

tomoki/deep-learning-from-scratch

0b6144806b6b79462d6d65616a64b1774f876973

[ "MIT" ]

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

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0.061047

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0.356463

735

42

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0.472222

0

null

0

null

0

1

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

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

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0.704762

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3.972222

0.805556

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0

0.036458

0.085714

210

4

117

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0.708333

0.095238

0

0.275132

0

1

0

true

0

null

0

1

0

null

0

1

0

2

de82bbe06365e1885857bfec2f5eb9144e01b08c

1,729

py

Python

dncnn/dncnn.py

kTonpa/DnCNN

aca7e07ccbe6b75bee7d4763958dade4a8eee609

[ "MIT" ]

null

dncnn/dncnn.py

kTonpa/DnCNN

aca7e07ccbe6b75bee7d4763958dade4a8eee609

[ "MIT" ]

null

dncnn/dncnn.py

kTonpa/DnCNN

aca7e07ccbe6b75bee7d4763958dade4a8eee609

[ "MIT" ]

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

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0.638519

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1,729

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0.065913

0.079096

0.056497

0.343691

0.274011

0.234463

0

0.017955

0.259109

1,729

66

143

26.19697

0.811085

0.108155

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0.05

0

1

0.125

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0

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0.025

0.35

0

null

0

null

0

1

0

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

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

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41,886

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0.021643

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0.465648

0.439276

0.413995

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41,886

1,145

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0.080774

0.029579

0

null

0

null

0

1

0

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

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

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651

5.406977

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0

0.201229

651

24

74

27.125

0.894231

0.463902

0

0.144615

0

1

0

false

0

0.375

0

0.625

0

null

0

null

0

1

0

1

de86c719ac9ffce9e1f273be9d0dc93bbd224576

14,533

py

Python

reviews/migrations/0022_auto_20190302_1556.py

UrbanBogger/horrorexplosion

3698e00a6899a5e8b224cd3d1259c3deb3a2ca80

[ "MIT" ]

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

# -*- 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

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14,533

4.853398

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0.042333

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0.770808

0.760997

0.732995

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14,533

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null

0

1

0

1

0

1

0

null

0

8

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

setup.py

imdaveho/intermezzo

3fe4824a747face996e301ca5190caec0cb0a6fd

[ "MIT" ]

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

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1,414

5.318471

0.382166

0.071856

0.062275

0.071856

0.907784

0.845509

0

0.020408

0.237624

1,414

39

101

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0.736842

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true

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0.052632

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null

0

1

0

1

0

null

0

1

0

8

de87df11dbf3b3a221e585a21372627cd71cbf40

173

py

Python

aula3/ola/urls.py

Danilo-Xaxa/django_cs50w

5ae2e076f35a8c32a4e445f8cfd1c66500fbc496

[ "MIT" ]

null

aula3/ola/urls.py

Danilo-Xaxa/django_cs50w

5ae2e076f35a8c32a4e445f8cfd1c66500fbc496

[ "MIT" ]

null

aula3/ola/urls.py

Danilo-Xaxa/django_cs50w

5ae2e076f35a8c32a4e445f8cfd1c66500fbc496

[ "MIT" ]

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

21

173

5.571429

0.571429

0

0.150289

173

7

65

24.714286

0.795918

0

0.155172

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

de88715741307a44df748cb0254417ebbcf130e6

70,016

py

Python

MOTION.py

catubc/MOTION

528ce8a860e4f1f1075b85d3bcb162fb78bdad81

[ "MIT" ]

null

MOTION.py

catubc/MOTION

528ce8a860e4f1f1075b85d3bcb162fb78bdad81

[ "MIT" ]

null

MOTION.py

catubc/MOTION

528ce8a860e4f1f1075b85d3bcb162fb78bdad81

[ "MIT" ]

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

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0.638211

9,472

70,016

4.574008

0.105997

0.021881

0.018904

0.015695

0.501489

0.452002

0.412072

0.383728

0.342435

0.325609

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0.01988

0.210452

70,016

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39.071429

0.763843

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null

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null

0.110251

0

null

0

null

0

1

0

1

de88b285c3b2ad75dee639aa1cc273972692cd58

619

py

Python

MinersArchers/game/game_data/cells/Cell_pygame.py

ea-evdokimov/MinersArchers

2e2830d3723b66cbd0e8829092124e30f8b4c854

[ "MIT" ]

null

MinersArchers/game/game_data/cells/Cell_pygame.py

ea-evdokimov/MinersArchers

2e2830d3723b66cbd0e8829092124e30f8b4c854

[ "MIT" ]

null

MinersArchers/game/game_data/cells/Cell_pygame.py

ea-evdokimov/MinersArchers

2e2830d3723b66cbd0e8829092124e30f8b4c854

[ "MIT" ]

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

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0

0.002004

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619

19

92

32.578947

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0.008446

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false

0

0.333333

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0

null

0

null

0

1

0

1

0

1

0

3

de8b266bc66642e780d1f515de7639ab0386bd85

2,690

py

Python

scheduler.py

shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection

5706b82ff67911864967aa72adf7e4a994c7ec89

[ "MIT" ]

null

scheduler.py

shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection

5706b82ff67911864967aa72adf7e4a994c7ec89

[ "MIT" ]

null

scheduler.py

shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection

5706b82ff67911864967aa72adf7e4a994c7ec89

[ "MIT" ]

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

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0.600743

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2,690

4.293629

0.168975

0.109677

0.085161

0.058065

0.706452

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0.666452

0.605161

0.530323

0

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0.280297

2,690

73

107

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false

0

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0.255319

0.12766

0

null

0

null

0

1

0

de8c74beee9cae08acd3e8037eb35833307f76e4

93

py

Python

app/routing/feeds/feed_type.py

wolfhardfehre/guide-io

cf076bad0634bcaf4ad0be4822539b7c8d254e76

[ "MIT" ]

null

app/routing/feeds/feed_type.py

wolfhardfehre/guide-io

cf076bad0634bcaf4ad0be4822539b7c8d254e76

[ "MIT" ]

null

app/routing/feeds/feed_type.py

wolfhardfehre/guide-io

cf076bad0634bcaf4ad0be4822539b7c8d254e76

[ "MIT" ]

null

from enum import Enum class FeedType(str, Enum): OSM = 'osm' OVERPASS = 'overpass'

13.285714

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12

93

5

0.666667

0

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93

6

27

15.5

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0

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0

1

0

false

0.25

0

1

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1

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null

0

1

0

null

0

1

0

1

0

4

de8c915237260239c036a5cbacb8018944e669da

8,774

py

Python

lego_sorter.py

bmleedy/lego_sorter

0164bc0042127f255590d1883b5edadfba781537

[ "BSD-2-Clause" ]

null

lego_sorter.py

bmleedy/lego_sorter

0164bc0042127f255590d1883b5edadfba781537

[ "BSD-2-Clause" ]

null

lego_sorter.py

bmleedy/lego_sorter

0164bc0042127f255590d1883b5edadfba781537

[ "BSD-2-Clause" ]

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

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0.015399

0

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0.084967

0

null

0

null

0

1

0

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

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0.530606

542

6,061

5.905904

0.202952

0.142143

0.079975

0.035614

0.491097

0.415183

0.379569

0.324274

0.302406

0

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0

null

0

0.097826

null

0.054348

0

null

0

null

0

1

0

1

de8e61ed55aedc48bfff03d78334a493e87826b6

242

py

Python

core/views.py

AlikBerry/countdown_timer

457f6d499b1fd702d43c348a012ae78780009e3b

[ "MIT" ]

null

core/views.py

AlikBerry/countdown_timer

457f6d499b1fd702d43c348a012ae78780009e3b

[ "MIT" ]

null

core/views.py

AlikBerry/countdown_timer

457f6d499b1fd702d43c348a012ae78780009e3b

[ "MIT" ]

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

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1

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null

0

null

0

1

0

2

de8e8bcbbb73ed82dfadbb561cfbfe8bb447a711

5,017

py

Python

networks/autoencoder/losses.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

networks/autoencoder/losses.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

networks/autoencoder/losses.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

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

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0.216216

0

null

0

null

0

1

0

de9037d4a2c6b5fbbf0a5f4e22a9796ae161e5b0

4,288

py

Python

Onderdelen/Hoofdscherm.py

RemcoTaal/IDP

33959e29235448c38b7936f16c7421a24130e745

[ "MIT" ]

null

Onderdelen/Hoofdscherm.py

RemcoTaal/IDP

33959e29235448c38b7936f16c7421a24130e745

[ "MIT" ]

null

Onderdelen/Hoofdscherm.py

RemcoTaal/IDP

33959e29235448c38b7936f16c7421a24130e745

[ "MIT" ]

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...

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118

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0

0.020833

0

0.0625

0

null

0

null

0

1

0

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

py2ifttt/__init__.py

moevis/py2ifttt

99dc2be647c53c9279f2f212528fef7190de7476

[ "MIT" ]

null

from .py2ifttt import IFTTT

27

0.851852

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27

5.75

1

0

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0.111111

27

1

27

0.916667

0

1

0

true

0

1

0

1

0

1

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1

0

null

0

1

0

1

0

1

0

6

de9373d0df66278e0b02dc262104db37303b9a61

3,806

py

Python

server-program/clientApplication.py

ezequias2d/projeto-so

993f3dd12135946fe5b4351e8488b7aa8a18f37e

[ "MIT" ]

null

server-program/clientApplication.py

ezequias2d/projeto-so

993f3dd12135946fe5b4351e8488b7aa8a18f37e

[ "MIT" ]

null

server-program/clientApplication.py

ezequias2d/projeto-so

993f3dd12135946fe5b4351e8488b7aa8a18f37e

[ "MIT" ]

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

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122

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0.210526

0

null

0

null

0

1

0

de949d00cedaeb2c6790aaae5c34a82b7c16d8c5

230

py

Python

ethernet/recv.py

bobbae/pingcap

c573688b42d35cefdbfa0121580807885aae8869

[ "Unlicense" ]

null

ethernet/recv.py

bobbae/pingcap

c573688b42d35cefdbfa0121580807885aae8869

[ "Unlicense" ]

1

2019-10-11T16:16:22.000Z

ethernet/recv.py

bobbae/pingcap

c573688b42d35cefdbfa0121580807885aae8869

[ "Unlicense" ]

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

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0

0.285714

0

null

0

1

0

null

0

1

de94dc8dcf783cae1964a6addda472d802119e98

1,110

py

Python

legacy/exam.py

wangxinhe2006/xyzzyy

3267614132a3b9e448b6733f13e8019aa79db922

[ "MIT" ]

1

2021-07-16T02:29:35.000Z

legacy/exam.py

wangxinhe2006/xyzzyy

3267614132a3b9e448b6733f13e8019aa79db922

[ "MIT" ]

null

legacy/exam.py

wangxinhe2006/xyzzyy

3267614132a3b9e448b6733f13e8019aa79db922

[ "MIT" ]

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

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0

0.117647

0

null

0

null

0

1

0

1

de95cb380efb4a5351375e80063db451dd2899b5

3,803

py

Python

TkPy/module.py

tbor8080/pyprog

3642b9af2a92f7369d9b6fa138e47ba22df3271c

[ "MIT" ]

null

TkPy/module.py

tbor8080/pyprog

3642b9af2a92f7369d9b6fa138e47ba22df3271c

[ "MIT" ]

null

TkPy/module.py

tbor8080/pyprog

3642b9af2a92f7369d9b6fa138e47ba22df3271c

[ "MIT" ]

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...

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0.148775

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0.355263

0.026316

0

null

0

null

0

1

0

de97499bd44b3c33d3853cafca12103889273c3c

6,005

py

Python

core/polyaxon/cli/components/tuner.py

Ohtar10/polyaxon

1e41804e4ae6466b6928d06bc6ee6d2d9c7b8931

[ "Apache-2.0" ]

null

core/polyaxon/cli/components/tuner.py

Ohtar10/polyaxon

1e41804e4ae6466b6928d06bc6ee6d2d9c7b8931

[ "Apache-2.0" ]

null

core/polyaxon/cli/components/tuner.py

Ohtar10/polyaxon

1e41804e4ae6466b6928d06bc6ee6d2d9c7b8931

[ "Apache-2.0" ]

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

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0.142857

0

null

0

1

0

null

0

1

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

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 <fanzeyi1994@gmail.com> # 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...

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0

null

0

null

0

1

0

de9773cffe9839ef07dd2219fd1b0246be382284

1,839

py

Python

src/blog/migrations/0001_initial.py

triump0870/rohan

3bd56ccdc35cb67823117e78dc02becbfbd0b329

[ "MIT" ]

null

src/blog/migrations/0001_initial.py

triump0870/rohan

3bd56ccdc35cb67823117e78dc02becbfbd0b329

[ "MIT" ]

null

src/blog/migrations/0001_initial.py

triump0870/rohan

3bd56ccdc35cb67823117e78dc02becbfbd0b329

[ "MIT" ]

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

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0

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0

0.2

0

null

0

null

0

1

0

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

exams/61a-su20-practice-mt/q6/tests/q6.py

jjllzhang/CS61A

57b68c7c06999210d96499f6d84e4ec99085d396

[ "MIT" ]

null

exams/61a-su20-practice-mt/q6/tests/q6.py

jjllzhang/CS61A

57b68c7c06999210d96499f6d84e4ec99085d396

[ "MIT" ]

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

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0.193798

0

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1,545

31

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null

0

1

0

1

0

null

0

2

de9bc65cbfa30de1a8294fb16fd3712d1ce427db

3,566

py

Python

#17.py

Domino2357/daily-coding-problem

95ddef9db53c8b895f2c085ba6399a3144a4f8e6

[ "MIT" ]

null

#17.py

Domino2357/daily-coding-problem

95ddef9db53c8b895f2c085ba6399a3144a4f8e6

[ "MIT" ]

null

#17.py

Domino2357/daily-coding-problem

95ddef9db53c8b895f2c085ba6399a3144a4f8e6

[ "MIT" ]

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

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0.666854

538

3,566

4.29368

0.299257

0.072727

0.109091

0.036797

0.183117

0.080519

0.022511

0

0.017372

0.257431

3,566

113

125

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0.854985

0.551598

0

0.288462

0

0.027628

0

1

0.096154

false

0

0.019231

0.192308

0.038462

0

null

0

null

0

1

0

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

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

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0.650951

173

1,315

4.768786

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0.09697

0.087273

0.054545

0.233939

0.157576

0

0.222814

1,315

53

57

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0

0.289474

0

0.047148

0

1

0.157895

false

0

0.052632

0.026316

0.342105

0

null

0

null

0

1

0

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

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

from output.models.ms_data.additional.member_type021_xsd.member_type021 import Root __all__ = [ "Root", ]

18.5

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15

111

5.2

0.8

0.333333

0

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5

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0

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0

1

0

null

1

0

1

0

null

0

3

de9ca51de5e3ba22b379f50a5e136405d59c8422

4,361

py

Python

estimator.py

2besweet/Covid-19-project

8cfa76662ed0b84999134a9faacbf390e8de31f3

[ "MIT" ]

1

2021-01-31T19:04:11.000Z

estimator.py

2besweet/Covid-19-project

8cfa76662ed0b84999134a9faacbf390e8de31f3

[ "MIT" ]

1

2021-05-11T10:34:00.000Z

estimator.py

2besweet/Covid-19-project

8cfa76662ed0b84999134a9faacbf390e8de31f3

[ "MIT" ]

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

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4,361

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0.01973

0.025649

0.027951

0.137455

0.016442

0

0.03246

0.229993

4,361

106

128

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0

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0

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0

1

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false

0

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0.012821

0

1

null

0

null

0

1

dea196647fceafaeec0ee9058ac3907d2c76082c

3,752

py

Python

pys3crypto.py

elitest/pys3crypto

9dfef5935ff1c663b8641eaa052e778cdf34a565

[ "MIT" ]

null

pys3crypto.py

elitest/pys3crypto

9dfef5935ff1c663b8641eaa052e778cdf34a565

[ "MIT" ]

null

pys3crypto.py

elitest/pys3crypto

9dfef5935ff1c663b8641eaa052e778cdf34a565

[ "MIT" ]

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...

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null

0

null

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0

dea3d4b6a9500edd440cd83df9ceb44f4b4e36eb

1,777

py

Python

openTEL_11_19/presentation_figures/tm112_utils.py

psychemedia/presentations

a4d7058b1f716c59a89d0bcd1390ead75d769d43

[ "Apache-2.0" ]

null

openTEL_11_19/presentation_figures/tm112_utils.py

psychemedia/presentations

a4d7058b1f716c59a89d0bcd1390ead75d769d43

[ "Apache-2.0" ]

null

openTEL_11_19/presentation_figures/tm112_utils.py

psychemedia/presentations

a4d7058b1f716c59a89d0bcd1390ead75d769d43

[ "Apache-2.0" ]

1

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...

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134

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0.272727

0

null

0

null

0

1

0

dea4ec2e4ccc51ad602efcb7e648252790b6ff2d

984

py

Python

src/pages/artists_main.py

haoweini/spotify_stream

83fd13d4da9fb54a595611d4c0cd594eb5b8a9fd

[ "MIT" ]

null

src/pages/artists_main.py

haoweini/spotify_stream

83fd13d4da9fb54a595611d4c0cd594eb5b8a9fd

[ "MIT" ]

null

src/pages/artists_main.py

haoweini/spotify_stream

83fd13d4da9fb54a595611d4c0cd594eb5b8a9fd

[ "MIT" ]

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

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984

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0

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0

null

0

null

0

1

0

1

dea61adbc856f28630be94c795fc850aa45a1770

595

py

Python

Leetcode/res/Longest Common Prefix/2.py

AllanNozomu/CompetitiveProgramming

ac560ab5784d2e2861016434a97e6dcc44e26dc8

[ "MIT" ]

1

2022-03-04T16:06:41.000Z

Leetcode/res/Longest Common Prefix/2.py

AllanNozomu/CompetitiveProgramming

ac560ab5784d2e2861016434a97e6dcc44e26dc8

[ "MIT" ]

null

Leetcode/res/Longest Common Prefix/2.py

AllanNozomu/CompetitiveProgramming

ac560ab5784d2e2861016434a97e6dcc44e26dc8

[ "MIT" ]

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

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595

3.492537

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0.502521

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24

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0

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false

0

0.222222

0

null

1

0

1

0

null

0

2

dea6d3637da9acba0c0473fcafaedf9d82d434e7

884

py

Python

tests/factory_fixtures/contact_number.py

donovan-PNW/dwellinglybackend

448df61f6ea81f00dde7dab751f8b2106f0eb7b1

[ "MIT" ]

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

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

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0.210407

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29

83

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0.836676

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0.045455

0.363636

0

null

1

0

null

0

2

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

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null

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2

dea6f4a43ec33dab31441d90f5221fa29eeb9456

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py

Python

analysis_guis/code_test.py

Sepidak/spikeGUI

25ae60160308c0a34e7180f3e39a1c4dc6aad708

[ "MIT" ]

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...

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0.253165

0

null

0

null

0

1

0

dea94f5c042a5187e7e181584aadcbc88251aee3

2,852

py

Python

att/gm.py

thexdesk/foiamail

d135bbb5f52d5a31ca8ce3450bd0035f94a182f5

[ "MIT" ]

null

att/gm.py

thexdesk/foiamail

d135bbb5f52d5a31ca8ce3450bd0035f94a182f5

[ "MIT" ]

null

att/gm.py

thexdesk/foiamail

d135bbb5f52d5a31ca8ce3450bd0035f94a182f5

[ "MIT" ]

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

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0.052113

0

0.003341

0.265428

2,852

86

120

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null

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0

null

0

null

0

1

0

1

0

2

dea9df41450058a28e28c535ce8960f8b770dc38

1,147

py

Python

pex/pip/download_observer.py

sthagen/pantsbuild-pex

bffe6c3641b809cd3b20adbc7fdb2cf7e5f54309

[ "Apache-2.0" ]

null

pex/pip/download_observer.py

sthagen/pantsbuild-pex

bffe6c3641b809cd3b20adbc7fdb2cf7e5f54309

[ "Apache-2.0" ]

null

pex/pip/download_observer.py

sthagen/pantsbuild-pex

bffe6c3641b809cd3b20adbc7fdb2cf7e5f54309

[ "Apache-2.0" ]

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

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0.646905

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1,147

5.099291

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0.029207

0.038943

0.05007

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0.006928

0.244987

1,147

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0

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0.566667

0

null

0

null

0

1

0

deaa58029f2b553b02dbaa81816ff5ce9e456f8a

3,424

py

Python

dispatchlib/types.py

ryxcommar/dispatchlib

bf3b6e5617af41579b240a7733cd9cc86a8a38ed

[ "MIT" ]

null

dispatchlib/types.py

ryxcommar/dispatchlib

bf3b6e5617af41579b240a7733cd9cc86a8a38ed

[ "MIT" ]

null

dispatchlib/types.py

ryxcommar/dispatchlib

bf3b6e5617af41579b240a7733cd9cc86a8a38ed

[ "MIT" ]

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

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0.651285

365

3,424

5.69589

0.317808

0.03848

0.036075

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0.370851

0.295334

0.25493

0.23569

0.104858

0

0.002349

0.254089

3,424

126

80

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0.811668

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0

0.144444

0

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0

1

0.233333

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0.011111

0.055556

0.111111

0.544444

0

null

0

null

0

1

0

1

0

3

deabe0363fc1143c6a3fe5cc62b534d0a3e480ca

2,096

py

Python

pbpstats/data_loader/nba_possession_loader.py

pauldevos/pbpstats

71c0b5e2bd45d0ca031646c70cd1c1f30c6a7152

[ "MIT" ]

null

pbpstats/data_loader/nba_possession_loader.py

pauldevos/pbpstats

71c0b5e2bd45d0ca031646c70cd1c1f30c6a7152

[ "MIT" ]

null

pbpstats/data_loader/nba_possession_loader.py

pauldevos/pbpstats

71c0b5e2bd45d0ca031646c70cd1c1f30c6a7152

[ "MIT" ]

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

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0.624046

220

2,096

5.772727

0.327273

0.056693

0.03937

0.043307

0.456693

0.434646

0.426772

0.32126

0

0.008826

0.297233

2,096

52

122

40.307692

0.85336

0.28292

0

0.375

0

1

0.0625

false

0

0.03125

0

0.15625

0

null

0

null

0

1

0

dead01ec590550c2d98b328ed72222f137d3778b

7,033

py

Python

vmware_nsx_tempest/tests/nsxv/api/base_provider.py

gravity-tak/vmware-nsx-tempest

3a1007d401c471d989345bb5a3f9769f84bd4ac6

[ "Apache-2.0" ]

null

vmware_nsx_tempest/tests/nsxv/api/base_provider.py

gravity-tak/vmware-nsx-tempest

3a1007d401c471d989345bb5a3f9769f84bd4ac6

[ "Apache-2.0" ]

null

vmware_nsx_tempest/tests/nsxv/api/base_provider.py

gravity-tak/vmware-nsx-tempest

3a1007d401c471d989345bb5a3f9769f84bd4ac6

[ "Apache-2.0" ]

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

879

7,033

4.994312

0.216155

0.047153

0.034169

0.038724

0.351708

0.328474

0.26492

0.248519

0.230296

0.207517

0

0.005272

0.271861

7,033

179

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39.290503

0.851982

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0

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1

0.110236

false

0.007874

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0

0.275591

0

null

0

null

0

1

0

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

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

460

3,650

4.53913

0.376087

0.056992

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0.015805

0.123563

0.029693

0

0.013578

0.253425

3,650

134

118

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0.752661

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0

0.235552

0

1

0

false

0.08

0.24

0

0.24

0.04

0

null

0

null

0

1

0

1

deaf2eb47ddc3dd822c0c77690801b5b8b2a48b0

1,492

py

Python

layers/ternary_ops.py

victorjoos/QuantizedNeuralNetworks-Keras-Tensorflow

4080ddff9c9e9a6fd5c1dd90997c63968195bb7e

[ "BSD-3-Clause" ]

1

2018-08-22T12:13:25.000Z

layers/ternary_ops.py

victorjoos/QuantizedNeuralNetworks-Keras-Tensorflow

4080ddff9c9e9a6fd5c1dd90997c63968195bb7e

[ "BSD-3-Clause" ]

null

layers/ternary_ops.py

victorjoos/QuantizedNeuralNetworks-Keras-Tensorflow

4080ddff9c9e9a6fd5c1dd90997c63968195bb7e

[ "BSD-3-Clause" ]

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

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0.632038

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1,492

4.261468

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0.051668

0.064586

0.437029

0.381055

0

0.038927

0.225201

1,492

54

100

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0.764706

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0

0.018779

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1

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false

0

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0

0.592593

0

null

0

null

0

1

0

1

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

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

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0.526667

137

1,050

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0.033835

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0

0.012987

0.34

1,050

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0.137931

0

null

0

null

0

1

0

deb039b791ed71607787c0d4ffc9f5bb4edef521

930

py

Python

Q846_Hand-of-Straights.py

xiaosean/leetcode_python

844ece02d699bfc620519bd94828ed0e18597f3e

[ "MIT" ]

null

Q846_Hand-of-Straights.py

xiaosean/leetcode_python

844ece02d699bfc620519bd94828ed0e18597f3e

[ "MIT" ]

null

Q846_Hand-of-Straights.py

xiaosean/leetcode_python

844ece02d699bfc620519bd94828ed0e18597f3e

[ "MIT" ]

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

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930

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64

31

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0

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1

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0

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0

0.241379

0

null

0

null

0

1

0

deb1c543d933d4026fb5899f87ff8c3384301fea

174

py

Python

hover/utils/misc.py

haochuanwei/hover

53eb38c718e44445b18a97e391b7f90270802b04

[ "MIT" ]

1

2020-12-08T13:04:18.000Z

hover/utils/misc.py

MaxCodeXTC/hover

feeb0e0c59295a3c883823ccef918dfe388b603c

[ "MIT" ]

null

hover/utils/misc.py

MaxCodeXTC/hover

feeb0e0c59295a3c883823ccef918dfe388b603c

[ "MIT" ]

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

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174

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174

6

51

29

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0

1

0.333333

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0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

deb28e42e8f7639fbbb2df4266120ee03fd2a028

193

py

Python

admin.py

sfchronicle/najee

0c66b05ba10616243d9828465da97dee7bfedc0d

[ "MIT", "Unlicense" ]

null

admin.py

sfchronicle/najee

0c66b05ba10616243d9828465da97dee7bfedc0d

[ "MIT", "Unlicense" ]

null

admin.py

sfchronicle/najee

0c66b05ba10616243d9828465da97dee7bfedc0d

[ "MIT", "Unlicense" ]

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

31

193

4.709677

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0.205479

0.178082

0

0.176166

193

11

49

17.545455

0.918239

0.450777

0

1

0

false

0

0.75

0

0.75

0

null

1

0

null

0

1

0

2

deb449183523148b00bdabf18e21714bbe3551c8

467

py

Python

src/courses/migrations/0006_auto_20200521_2038.py

GiomarOsorio/another-e-learning-platform

5cfc76420eb3466691f5187c915c179afb13199a

[ "MIT" ]

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

# 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

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0.631692

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467

5.254545

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0.110727

0.124567

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0

0.089855

0.261242

467

18

130

25.944444

0.747826

0.09636

0

1

0

0.247619

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0

1

0

false

0

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0

0.333333

0

null

0

1

0

null

0

1

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

mypi/settings.py

sujaymansingh/mypi

768bdda2ed43faba8a69c7985ee063e1016b9299

[ "BSD-2-Clause-FreeBSD" ]

1

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

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0.100917

0.091743

0

0.003035

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776

25

73

31.04

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0.148196

0

0.12462

0

1

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0

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0

0.352941

0

null

1

0

null

0

1

deb7178741e12b76740cccb10cf2e3f8e186116d

1,866

py

Python

alipay/aop/api/domain/KbAdvertPreserveCommissionClause.py

articuly/alipay-sdk-python-all

0259cd28eca0f219b97dac7f41c2458441d5e7a6

[ "Apache-2.0" ]

null

alipay/aop/api/domain/KbAdvertPreserveCommissionClause.py

articuly/alipay-sdk-python-all

0259cd28eca0f219b97dac7f41c2458441d5e7a6

[ "Apache-2.0" ]

null

alipay/aop/api/domain/KbAdvertPreserveCommissionClause.py

articuly/alipay-sdk-python-all

0259cd28eca0f219b97dac7f41c2458441d5e7a6

[ "Apache-2.0" ]

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

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0.587889

218

1,866

4.770642

0.238532

0.129808

0.1875

0.114423

0.269231

0.150962

0.108654

0.069231

0

0.00157

0.317256

1,866

63

82

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0

0.081633

0

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0

0.040816

0.306122

0

null

0

1

0

null

0

1

deba0ac91a90f7d9408ab094dc6d137f7476170c

4,495

py

Python

smart_contract/__init__.py

publicqi/CTFd-Fox

b1d0169db884cdf3cb665faa8987443e7630d108

[ "MIT" ]

1

2021-01-09T15:20:14.000Z

smart_contract/__init__.py

publicqi/CTFd-Fox

b1d0169db884cdf3cb665faa8987443e7630d108

[ "MIT" ]

null

smart_contract/__init__.py

publicqi/CTFd-Fox

b1d0169db884cdf3cb665faa8987443e7630d108

[ "MIT" ]

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

486

4,495

5.676955

0.218107

0.087713

0.056542

0.079739

0.460674

0.333092

0.300471

0.183762

0.137006

0

0.261624

4,495

138

88

32.572464

0.831274

0.008899

0

0.262295

0

0.120144

0.068269

0

1

0.065574

false

0

0.065574

0

0.229508

0.016393

0

null

0

null

0

1

0

deba5b19ee11e4b42757cf8302210ae77f1c6474

295

py

Python

01-data_types/d13.py

philiphinton/learn_python

6ddfe3c7818d6c919bfa49bd6302c75ee761b6a4

[ "MIT" ]

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

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

38

295

4.631579

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0.272727

0.289773

0.261364

0

0.030435

0.220339

295

16

32

18.4375

0.734783

0.369492

0

0.27933

0

1

0

false

0

0.1

0

null

1

0

null

0

3

debc22c03ed999e303334d1da3320e421b5bfacc

119

py

Python

applications/jupyter-extension/nteract_on_jupyter/notebooks/utils/cb/python/__init__.py

jjhenkel/nteract

088222484b59af14b1da22de4d0990d8925adf95

[ "BSD-3-Clause" ]

null

applications/jupyter-extension/nteract_on_jupyter/notebooks/utils/cb/python/__init__.py

jjhenkel/nteract

088222484b59af14b1da22de4d0990d8925adf95

[ "BSD-3-Clause" ]

null

applications/jupyter-extension/nteract_on_jupyter/notebooks/utils/cb/python/__init__.py

jjhenkel/nteract

088222484b59af14b1da22de4d0990d8925adf95

[ "BSD-3-Clause" ]

null

from .surface import * from .modifiers import * from .evaluator import Evaluator from .lowlevel import display_results

23.8

37

0.815126

15

119

6.4

0.533333

0.208333

0

0.134454

119

4

38

29.75

0.932039

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

debcd3fde3c56a4f5ccca0c23d8a57a7d2afd960

588

py

Python

Numbers/PrimeFac.py

Arjuna197/the100

2963b4fe1b1b8e673a23b2cf97f4bcb263af9781

[ "MIT" ]

1

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

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

85

588

3.788235

0.388235

0.198758

0.074534

0

0.042821

0.32483

588

26

41

22.615385

0.768262

0

0.083333

0

0.042705

0

1

0.041667

false

0

0.083333

0

0.25

0.083333

0

null

0

null

0

1

0

debd457fd6d2c1141a031eefaca5f163110cfa64

1,130

py

Python

src/wtfjson/validators/url.py

binary-butterfly/wtfjson

551ad07c895ce3c94ac3015b6b5ecc2102599b56

[ "MIT" ]

null

src/wtfjson/validators/url.py

binary-butterfly/wtfjson

551ad07c895ce3c94ac3015b6b5ecc2102599b56

[ "MIT" ]

1

2021-10-11T08:55:45.000Z

src/wtfjson/validators/url.py

binary-butterfly/wtfjson

551ad07c895ce3c94ac3015b6b5ecc2102599b56

[ "MIT" ]

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

139

1,130

5.100719

0.604317

0.042313

0.056417

0

0.007928

0.218584

1,130

36

104

31.388889

0.795017

0.161947

0

0.043478

0.101171

0.085197

0

1

0.086957

false

0

0.304348

0

0.478261

0

null

0

null

0

1

0

1

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

156

1,270

5.352564

0.301282

0.095808

0.081437

0.11497

0.653892

0.613174

0.555689

0.431138

0.354491

0

0.05482

0.166929

1,270

30

146

42.333333

0.734405

0.499213

0

0.083333

0.322581

0.301613

0

1

0

false

0

0.083333

0

0.083333

0

null

0

null

0

1

0

debed6abf0cd6d720ad9aac4713a4ef0c18b842a

383

py

Python

xappt_qt/__init__.py

cmontesano/xappt_qt

74f8c62e0104a67b4b4eb65382df851221bf0bab

[ "MIT" ]

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

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

50

383

5.08

0.6

0.070866

0.086614

0

0.002915

0.104439

383

13

66

29.461538

0.737609

0.164491

0

0.220126

0.166667

0

1

0

false

0

0.428571

0

0.428571

0

null

0

null

0

1

0

1

dec0b14005ec6feafc62d8f18253556640fa35db

145,150

py

Python

py/countdowntourney.py

elocemearg/atropine

894010bcc89d4e6962cf3fc15ef526068c38898d

[ "CC-BY-4.0" ]

null

py/countdowntourney.py

elocemearg/atropine

894010bcc89d4e6962cf3fc15ef526068c38898d

[ "CC-BY-4.0" ]

null

py/countdowntourney.py

elocemearg/atropine

894010bcc89d4e6962cf3fc15ef526068c38898d

[ "CC-BY-4.0" ]

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

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145,150

4.19556

0.052431

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0.010385

0.017125

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0.254527

0.222659

0.197506

0

0.01518

0.316962

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0

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0

1

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false

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0.005569

0

null

0

null

0

1

0

dec0da50ce4a56fc78832aa67c6d71d1a1a1c437

995

py

Python

t/plugin/plugin_020deploy_test.py

jrmsdev/pysadm

0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37

[ "BSD-3-Clause" ]

1

2019-10-15T08:37:56.000Z

t/plugin/plugin_020deploy_test.py

jrmsdev/pysadm

0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37

[ "BSD-3-Clause" ]

null

t/plugin/plugin_020deploy_test.py

jrmsdev/pysadm

0d6b3f0c8d870d83ab499c8d9487ec8e3a89fc37

[ "BSD-3-Clause" ]

null

# Copyright (c) Jeremías Casteglione <jrmsdev@gmail.com> # 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

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995

4.91791

0.425373

0.098634

0.059181

0.075873

0.172989

0

0.001183

0.150754

995

26

81

38.269231

0.778698

0.072362

0

0.095238

0

0.155435

0

1

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false

0

0.095238

0

0.190476

0.095238

0

null

0

null

0

1

0

dec30d56b6d0887d305f33e490a67d25b3dd39cd

4,189

py

Python

jsonReadWrite.py

nsobczak/ActivityWatchToCSV

cefb67e9f1c834008f2b39c0baf6c7c506327a4d

[ "Apache-2.0" ]

null

jsonReadWrite.py

nsobczak/ActivityWatchToCSV

cefb67e9f1c834008f2b39c0baf6c7c506327a4d

[ "Apache-2.0" ]

null

jsonReadWrite.py

nsobczak/ActivityWatchToCSV

cefb67e9f1c834008f2b39c0baf6c7c506327a4d

[ "Apache-2.0" ]

null

""" ############## # jsonReader # ############## """ # Import import json from platform import system from enum import Enum from datetime import timedelta # %% ____________________________________________________________________________________________________ # ____________________________________________________...

30.136691

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4,189

5.168734

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0

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0.319647

4,189

138

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0

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0

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0

1

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0

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0

0.192982

0.157895

0

null

0

null

0

1

0

dec3721fd14d0e108bf21ac443dd1b7796946011

286

py

Python

pythons/reTesting.py

whats2000/coding-stuff-I-make-from-learning

d82809ba12f9d74bdb41eca5ba8f12f4cd96929e

[ "MIT" ]

null

pythons/reTesting.py

whats2000/coding-stuff-I-make-from-learning

d82809ba12f9d74bdb41eca5ba8f12f4cd96929e

[ "MIT" ]

null

pythons/reTesting.py

whats2000/coding-stuff-I-make-from-learning

d82809ba12f9d74bdb41eca5ba8f12f4cd96929e

[ "MIT" ]

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

41

286

3.926829

0.487805

0.074534

0.167702

0.242236

0

0.012931

0.188811

286

16

61

17.875

0.681034

0

0.227273

0

1

0

false

0

0.1

0

0.1

0.4

0

null

0

1

0

null

0

1

dec3efd877d3ce87cbe9fc53530bf43be70d8149

306

py

Python

2021-12-23/1.py

xiaozhiyuqwq/seniorschool

7375038b00a6d2deaec5d70bfac25ddbf4d2558e

[ "Apache-2.0" ]

null

2021-12-23/1.py

xiaozhiyuqwq/seniorschool

7375038b00a6d2deaec5d70bfac25ddbf4d2558e

[ "Apache-2.0" ]

null

2021-12-23/1.py

xiaozhiyuqwq/seniorschool

7375038b00a6d2deaec5d70bfac25ddbf4d2558e

[ "Apache-2.0" ]

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

54

306

2.648148

0.648148

0.146853

0.167832

0

0.112195

0.330065

306

13

61

23.538462

0.585366

0.176471

0

0.141026

0

1

0

false

0

0.25

0

null

0

null

0

1

0

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

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

2,036

15,088

4.97053

0.073183

0.071146

0.094862

0.054348

0.808498

0.787352

0.762451

0.758103

0.741403

0.724802

0

0.03989

0.136002

15,088

261

177

57.808429

0.736422

0.039767

0

0.486239

0

0.176723

0.005598

0

1

0.03211

false

0

0.036697

0

0.068807

0

null

0

1

0

null

0

6

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

multidimension.py

DREAMS-lab/data_augmentor

f204ee3af805b17d9946d3d5c6e7ca62398f09e5

[ "MIT" ]

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

508

3,648

4.001969

0.214567

0.106247

0.070831

0.086572

0.185932

0.123955

0.079685

0

0.027819

0.260965

3,648

104

106

35.076923

0.726261

0.072643

0

0.092308

0

0.089357

0.070832

0

1

0.092308

false

0.015385

0.076923

0.015385

0.215385

0

null

0

null

0

1

0

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

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

55

399

5.454545

0.4

0.24

0.2

0.126667

0

0.005618

0.107769

399

12

76

33.25

0.837079

0

0.110276

0

0.285714

1

0.285714

false

0

0.285714

0

0.571429

0

null

1

0

null

0

1

0

1

0

4