xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

ca963c794e6b8ca2f4dbf07be128d72d92a54e5c

9,514

py

Python

openGaussBase/testcase/SQL/INNERFUNC/last/Opengauss_Function_Innerfunc_Last_Case0007.py

opengauss-mirror/Yat

aef107a8304b94e5d99b4f1f36eb46755eb8919e

[ "MulanPSL-1.0" ]

null

openGaussBase/testcase/SQL/INNERFUNC/last/Opengauss_Function_Innerfunc_Last_Case0007.py

opengauss-mirror/Yat

aef107a8304b94e5d99b4f1f36eb46755eb8919e

[ "MulanPSL-1.0" ]

null

openGaussBase/testcase/SQL/INNERFUNC/last/Opengauss_Function_Innerfunc_Last_Case0007.py

opengauss-mirror/Yat

aef107a8304b94e5d99b4f1f36eb46755eb8919e

[ "MulanPSL-1.0" ]

null

""" Copyright (c) 2022 Huawei Technologies Co.,Ltd. openGauss is licensed under Mulan PSL v2. You can use this software according to the terms and conditions of the Mulan PSL v2. You may obtain a copy of Mulan PSL v2 at: http://license.coscl.org.cn/MulanPSL2 THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W...

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null

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null

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0

ca9b95c978ba4ebdf7212bca4a59b66c0c1f46e7

356

py

Python

test/record.py

titulebolide/variometer

7e5fbacdb9c403d11dd01abc6f5e20db4b922756

[ "MIT" ]

null

test/record.py

titulebolide/variometer

7e5fbacdb9c403d11dd01abc6f5e20db4b922756

[ "MIT" ]

null

test/record.py

titulebolide/variometer

7e5fbacdb9c403d11dd01abc6f5e20db4b922756

[ "MIT" ]

null

import flask import numpy as np buff = [] app = flask.Flask(__name__) @app.route("/",methods=['POST']) def index(): global buff datas = flask.request.get_json(force=True) buff.extend(datas["data"]) return "",200 @app.route("/save/",methods=['GET']) def save(): np.save("record.npy", buff) retu...

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null

0

null

0

1

0

ca9bf7b2d5b27c913dc9d1327604f448153b014a

13,207

py

Python

framework/cefs.py

shew91/Retropy

9feb34855b997c48d93a5343a9842788d19582e6

[ "MIT" ]

13

2018-06-02T09:11:15.000Z

2020-08-29T01:01:19.000Z

framework/cefs.py

shew91/Retropy

9feb34855b997c48d93a5343a9842788d19582e6

[ "MIT" ]

1

2021-01-17T14:03:13.000Z

framework/cefs.py

shew91/Retropy

9feb34855b997c48d93a5343a9842788d19582e6

[ "MIT" ]

6

2018-06-02T16:20:47.000Z

2021-12-30T22:26:54.000Z

# https://www.cefconnect.com/closed-end-funds-screener # https://www.cefa.com/ # http://cefdata.com/funds/clm/ # https://www.cefconnect.com/fund/CLM # https://www.cefchannel.com/clm/ from framework.utils import * from framework.base import * from framework.meta_data import * from framework.stats_basic import * from ...

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0

null

0

null

0

1

0

ca9c994cab0cb35cf5defa4b1739417be15fb6c9

2,616

py

Python

ecco_v4_py/vector_calc.py

zelunwu/ECCOv4-py

03b6a1b01fcd17b0b88c25bee205c195df52d7fa

[ "MIT" ]

1

2022-03-08T12:27:08.000Z

ecco_v4_py/vector_calc.py

zelunwu/ECCOv4-py

03b6a1b01fcd17b0b88c25bee205c195df52d7fa

[ "MIT" ]

null

ecco_v4_py/vector_calc.py

zelunwu/ECCOv4-py

03b6a1b01fcd17b0b88c25bee205c195df52d7fa

[ "MIT" ]

1

2020-05-09T01:07:03.000Z

""" Functions defined on vector valued fields """ import xarray as xr import xgcm from .ecco_utils import get_llc_grid def UEVNfromUXVY(xfld,yfld,coords,grid=None): """Compute east, north facing vector field components from x, y components by interpolating to cell centers and rotating by grid cell angle ...

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0

0.35

0

null

0

null

0

1

0

045f42e7e3687860c6585444a23e801817f61e12

2,409

py

Python

StockExporter.py

A1eXFei/StockMarket3

01000d0731395868c4477982c6ed6c632c9a7427

[ "Apache-2.0" ]

null

StockExporter.py

A1eXFei/StockMarket3

01000d0731395868c4477982c6ed6c632c9a7427

[ "Apache-2.0" ]

null

StockExporter.py

A1eXFei/StockMarket3

01000d0731395868c4477982c6ed6c632c9a7427

[ "Apache-2.0" ]

null

# -*- coding: UTF-8 -*- import os import logging from logging.config import fileConfig from util import DatabaseUtil as dbu from util import ExportUtil as eu fileConfig("logging_config.ini") logger = logging.getLogger(__name__) class StockExporter(): def __init__(self, export_dir, stock_code, start_date, end_da...

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0

null

0

null

0

1

0

046046d511220f9b7bfb8a21f8d381f0f028cf8d

34,758

py

Python

experiments/2021-02-18-knockouts/local/py_analysis/avida.py

amlalejini/plastic-evolvability-avida

909d944e52a102e09dd714a8b7e0f2274c4a8072

[ "MIT" ]

2

2021-09-16T14:47:43.000Z

2021-10-31T04:55:16.000Z

experiments/2021-02-18-knockouts/local/py_analysis/avida.py

amlalejini/evolutionary-consequences-of-plasticity

909d944e52a102e09dd714a8b7e0f2274c4a8072

[ "MIT" ]

null

experiments/2021-02-18-knockouts/local/py_analysis/avida.py

amlalejini/evolutionary-consequences-of-plasticity

909d944e52a102e09dd714a8b7e0f2274c4a8072

[ "MIT" ]

2

2020-08-19T20:01:14.000Z

2020-12-21T21:24:12.000Z

from helpers import * import copy import pygame import random # Render vars inst_x = 32 inst_width = 128 arrow_width = inst_x / 2 font_size = 10 font = pygame.font.SysFont('ubuntu', size = font_size) large_font_size = 20 large_font = pygame.font.SysFont('ubuntu', size = large_font_size) # Basic Avidian class. Handles...

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null

0

null

0

1

0

046277d3c02237d1299502009394a5bf6a8ac7e5

6,262

py

Python

examples/cvpr2020/reference_trainer.py

UCMerced-ML/LC-model-compression

bf12c3c1baad2bdd8d2aa3c560f8d7d0bed64a1e

[ "BSD-3-Clause" ]

40

2020-05-19T01:31:02.000Z

2022-01-28T00:25:33.000Z

examples/cvpr2020/reference_trainer.py

UCMerced-ML/LC-model-compression

bf12c3c1baad2bdd8d2aa3c560f8d7d0bed64a1e

[ "BSD-3-Clause" ]

3

2020-09-09T16:04:17.000Z

2022-03-18T00:59:39.000Z

examples/cvpr2020/reference_trainer.py

UCMerced-ML/LC-model-compression

bf12c3c1baad2bdd8d2aa3c560f8d7d0bed64a1e

[ "BSD-3-Clause" ]

8

2020-09-08T14:11:16.000Z

2022-01-28T00:25:41.000Z

#!/bin/env/python3 from types import ModuleType from lc.models import torch as model_def from utils import AverageMeter, Recorder, format_time, data_loader, compute_acc_loss import argparse import torch from torch import optim import torch.backends.cudnn as cudnn import torch.nn as nn import time import os if __name__...

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null

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1

0

0463351ecd48fd4a8685d1b1e0e86fd55a8bbaa2

1,249

py

Python

sa/profiles/Generic/sync_vlans.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

84

2017-10-22T11:01:39.000Z

2022-02-27T03:43:48.000Z

sa/profiles/Generic/sync_vlans.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

22

2017-12-11T07:21:56.000Z

2021-09-23T02:53:50.000Z

sa/profiles/Generic/sync_vlans.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

23

2017-12-06T06:59:52.000Z

2022-02-24T00:02:25.000Z

# --------------------------------------------------------------------- # Copyright (C) 2007-2015 The NOC Project # See LICENSE for details # --------------------------------------------------------------------- from noc.core.script.base import BaseScript from noc.sa.interfaces.isyncvlans import ISyncVlans class Sc...

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null

0

null

0

1

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0463d410530853a1c2fe7284a9f305e2222bedae

1,875

py

Python

Day_21/part2.py

Uklusi/AdventOfCode2021

3d22ace832bfd6c9855b2ebad3bf7f10c4751982

[ "MIT" ]

null

Day_21/part2.py

Uklusi/AdventOfCode2021

3d22ace832bfd6c9855b2ebad3bf7f10c4751982

[ "MIT" ]

null

Day_21/part2.py

Uklusi/AdventOfCode2021

3d22ace832bfd6c9855b2ebad3bf7f10c4751982

[ "MIT" ]

null

from types import new_class from AoCUtils import * result = 0 partNumber = "2" writeToLog = True if writeToLog: logFile = open("log" + partNumber + ".txt", "w") else: logFile = "stdout" printLog = printLogFactory(logFile) start1 = 8 start2 = 9 # Example # start1 = 4 # start2 = 8 score1 = 0 score2 = 0 di...

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0

null

0

null

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046764af8b8febc01686b2caf4cec52bcb012ff6

20,510

py

Python

dpytools/menus.py

ComfortablyCoding/dpytools

e5588bc1795543eddb94c3d3a58a9ea9668740a0

[ "MIT" ]

22

2021-01-21T19:57:39.000Z

2022-03-14T02:34:01.000Z

dpytools/menus.py

ComfortablyCoding/dpytools

e5588bc1795543eddb94c3d3a58a9ea9668740a0

[ "MIT" ]

3

2021-05-20T16:34:21.000Z

2021-06-23T19:54:32.000Z

dpytools/menus.py

ComfortablyCoding/dpytools

e5588bc1795543eddb94c3d3a58a9ea9668740a0

[ "MIT" ]

7

2021-04-28T04:18:09.000Z

2021-06-23T00:20:06.000Z

# -*- coding: utf-8 -*- """ This module holds functions for displaying different kinds of menus. All menus are reaction based. """ import asyncio from copy import copy from inspect import isawaitable from typing import List, Optional, Union, Callable import discord from discord import Embed from discord.ext import c...

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0

null

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null

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046b23b296bfcedfcca9aaf23e3a6837b6efe373

9,706

py

Python

formulator/models.py

Cahersan/django-formulator

0b7552f9b0c11b83568ad37350c14a111694a931

[ "MIT" ]

null

formulator/models.py

Cahersan/django-formulator

0b7552f9b0c11b83568ad37350c14a111694a931

[ "MIT" ]

null

formulator/models.py

Cahersan/django-formulator

0b7552f9b0c11b83568ad37350c14a111694a931

[ "MIT" ]

null

from __future__ import unicode_literals import re import importlib from django.utils.translation import ugettext_lazy as _ from django.db import models from django.utils.encoding import python_2_unicode_compatible from django.utils.functional import cached_property from model_utils import Choices from collections im...

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null

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1

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04700730113a9f3f7622d5a4ec5c89cef15b8e21

963

py

Python

src/python/pyLCIO/io/StdHepReader.py

jstrube/lcio

763eb323df33d3b0c4240e6b6feb7d0a27b790d5

[ "BSD-3-Clause" ]

null

src/python/pyLCIO/io/StdHepReader.py

jstrube/lcio

763eb323df33d3b0c4240e6b6feb7d0a27b790d5

[ "BSD-3-Clause" ]

4

2020-08-26T23:35:37.000Z

2020-09-22T21:13:25.000Z

src/python/pyLCIO/io/StdHepReader.py

JeffersonLab/hps-lcio

b83447dd8189d5f541601343066f8e3b4621f4ec

[ "BSD-3-Clause" ]

1

2020-08-26T19:31:19.000Z

''' Created on Dec 4, 2012 @author: <a href="mailto:christian.grefe@cern.ch">Christian Grefe</a> ''' import os from pyLCIO.io.Reader import Reader from pyLCIO import EVENT, IMPL, UTIL class StdHepReader( Reader ): ''' Class to hold an LCStdHepRdr object ''' def __init__( self, fileName=None): ''' C...

25.342105

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0.010526

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false

0

0.142857

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0.428571

0

null

0

null

0

1

0

0470d58f55c3b1b314cc0262448436f7712baf8d

6,440

py

Python

test/deposit.py

DAism2019/ERCs

f5cfec6b5700685b5515c8106a373b5f71b429c6

[ "CC0-1.0" ]

null

test/deposit.py

DAism2019/ERCs

f5cfec6b5700685b5515c8106a373b5f71b429c6

[ "CC0-1.0" ]

null

test/deposit.py

DAism2019/ERCs

f5cfec6b5700685b5515c8106a373b5f71b429c6

[ "CC0-1.0" ]

null

from contract import Forge,Validator,TOH,NDAO from privateKey import my_address, private_key # from web3.auto.infura.rinkeby import w3 from web3.auto import w3 import time # 引入time模块 another = "0x2E8b222CFac863Ec6D3446c78fD46aAEA289A9fb" another_privateKey = "078e9ed558a9afd1e7e27b9884fbcc95f8fa406bd02de3a2a19fbac401...

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0.421053

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0.182353

0

null

0

null

0

1

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0470f24c34be36437ebfed026dd28c5941c7d5c4

815

py

Python

probe/influx.py

phenobarbital/asyncdb

d4ea3d6b60436afce758abbcd632164a6ac6fa0c

[ "Apache-2.0", "BSD-3-Clause" ]

4

2020-09-07T15:39:10.000Z

2022-03-15T03:48:34.000Z

probe/influx.py

phenobarbital/asyncdb

d4ea3d6b60436afce758abbcd632164a6ac6fa0c

[ "Apache-2.0", "BSD-3-Clause" ]

394

2020-10-08T08:05:54.000Z

2022-03-31T10:28:27.000Z

probe/influx.py

jelitox/asyncdb

c5cad9857baa14fa949d34fa29406024d68d5735

[ "Apache-2.0", "BSD-3-Clause" ]

2

2020-09-07T15:38:56.000Z

2021-09-26T03:52:27.000Z

from asyncdb import AsyncDB, AsyncPool import asyncio loop = asyncio.get_event_loop() asyncio.set_event_loop(loop) params = { "host": "127.0.0.1", "port": "8086", "database": 'testdb', "user": "influxdata", "password": "12345678" } DRIVER='influx' async def test_connect(driver, params, event_lo...

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35

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false

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0

null

0

null

0

1

0

0472705f71b9f473bebe34fc4fa5caeef5f89456

17,557

py

Python

UI.py

Abdur-rahmaanJ/PygameUI

91139272f41558176ea105f7f0b613aef9a243f5

[ "Apache-2.0" ]

1

2020-05-27T04:24:36.000Z

UI.py

Abdur-rahmaanJ/PygameUI

91139272f41558176ea105f7f0b613aef9a243f5

[ "Apache-2.0" ]

null

UI.py

Abdur-rahmaanJ/PygameUI

91139272f41558176ea105f7f0b613aef9a243f5

[ "Apache-2.0" ]

null

#Ui Widgets for pygame #this is supposed to make it as easy as possible to make and use buttons and other widgets #Documentation at 'https://github.com/TheBigKahuna353/PygameUI' #All made by Jordan Withell import pygame #make screen quick def Window(w = 500, h = 500): pygame.init() return pygame.dis...

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null

0

null

0

1

0

04763099553a3f60ab99174135b7fe8f42971ff3

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py

Python

blurple/io/reaction.py

jeremytiki/blurple.py

c8f65955539cc27be588a06592b1c81c03f59c37

[ "MIT" ]

4

2021-06-30T19:58:59.000Z

2021-07-27T13:43:49.000Z

blurple/io/reaction.py

jeremytiki/blurple.py

c8f65955539cc27be588a06592b1c81c03f59c37

[ "MIT" ]

2

2021-07-10T16:08:25.000Z

2021-07-12T02:15:40.000Z

blurple/io/reaction.py

jeremytiki/blurple.py

c8f65955539cc27be588a06592b1c81c03f59c37

[ "MIT" ]

3

2021-07-08T03:00:40.000Z

2021-09-08T19:57:50.000Z

import discord import blurple.io as io class ReactionAddBasic(io.Reply): """An unopinionated, lower level class to wait for a user to add a reaction.""" event = "raw_reaction_add" async def on_reply_init(self, message: discord.Message): """Sepcialized to pass message object.""" self.mess...

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0

null

0

null

0

1

0

047794e8835f067229c32824232b6e2929ad5189

824

py

Python

client/events.py

adamstallard/EtherBank

d5b24034d9416b6b61efb9f8cb8699e63cf322e9

[ "BSD-2-Clause" ]

1

2019-01-09T22:05:03.000Z

client/events.py

adamstallard/EtherBank

d5b24034d9416b6b61efb9f8cb8699e63cf322e9

[ "BSD-2-Clause" ]

null

client/events.py

adamstallard/EtherBank

d5b24034d9416b6b61efb9f8cb8699e63cf322e9

[ "BSD-2-Clause" ]

null

from web3.auto import w3 import time # from infura import * import config import json with open("../build/contracts/EtherBank.json") as f: ether_bank_json = json.load(f) ether_bank_contract = w3.eth.contract( address=config.ETHER_BANK_ADDR, abi=ether_bank_json['abi'] ) accounts = w3.eth.accounts def han...

23.542857

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0.04

0

null

0

null

0

1

0

0477d1fec515526460f168e4daf0936536d74afc

14,316

py

Python

train.py

HuipengXu/MixMatch-PyTorch

026a733de773a58e361f66ee48dc150d23ba9754

[ "MIT" ]

1

2021-12-20T14:19:10.000Z

train.py

HuipengXu/MixMatch-PyTorch

026a733de773a58e361f66ee48dc150d23ba9754

[ "MIT" ]

null

train.py

HuipengXu/MixMatch-PyTorch

026a733de773a58e361f66ee48dc150d23ba9754

[ "MIT" ]

null

import argparse import os import shutil import time import random import json import numpy as np import torch import torch.nn as nn import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim as optim from torch.utils.data import DataLoader from torchtext.vocab import GloVe from progress.bar imp...

38.074468

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0.634325

1,902

14,316

4.564669

0.17245

0.017623

0.033287

0.008639

0.297742

0.229095

0.173923

0.147892

0.101359

0.092375

0

0.011518

0.241897

14,316

375

195

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0

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0.046595

0

null

0

null

0

1

0

0477db777b9cee4f58f0a5582459326ea8dada3b

1,221

py

Python

api/anubis/utils/visuals/users.py

AnubisLMS/Anubis

2f66ed2e0518422832816615d6f948239c081400

[ "MIT" ]

87

2021-11-08T10:58:26.000Z

2022-03-31T19:02:47.000Z

api/anubis/utils/visuals/users.py

AnubisLMS/Anubis

2f66ed2e0518422832816615d6f948239c081400

[ "MIT" ]

80

2021-11-07T04:46:42.000Z

2022-03-31T23:58:00.000Z

api/anubis/utils/visuals/users.py

AnubisLMS/Anubis

2f66ed2e0518422832816615d6f948239c081400

[ "MIT" ]

15

2021-11-07T17:02:21.000Z

2022-03-28T02:04:16.000Z

from datetime import datetime, timedelta from anubis.utils.cache import cache from anubis.utils.data import is_debug, is_job from anubis.utils.usage.users import get_platform_users from anubis.utils.visuals.files import convert_fig_bytes from anubis.utils.visuals.watermark import add_watermark @cache.memoize(timeout...

28.395349

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0.093633

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29.071429

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0.026208

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0

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0

0.3

0

null

0

null

0

1

0

04796e79a9664545eb63e6ba84915a3f7ac3d290

438

py

Python

heatingcontrolstate.py

szbeni/heatingcontroller

624538fdb8ddb88992b1dc5240b5caa7f7380255

[ "MIT" ]

null

heatingcontrolstate.py

szbeni/heatingcontroller

624538fdb8ddb88992b1dc5240b5caa7f7380255

[ "MIT" ]

null

heatingcontrolstate.py

szbeni/heatingcontroller

624538fdb8ddb88992b1dc5240b5caa7f7380255

[ "MIT" ]

null

#!/usr/bin/python3 import sys sys.argv[1:] if len(sys.argv) < 2: print("Off") exit() inp = sys.argv[1] if(inp == '00000'): print ("Off") elif(inp == '10000'): print ("Gas Auto Fan") elif(inp == '01000'): print ("Gas Slow Fan"); elif(inp == '00100'): print ("Fan"); elif(inp == '00010'): ...

16.846154

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64

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3.6875

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0.148305

0.169492

0.084746

0

0.103245

0.226027

438

25

34

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0

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0

1

0

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0

0.05

0

0.05

0.4

0

null

0

null

0

1

0

047d17f6bf4f854c158900b4950a6ed69d11af25

2,919

py

Python

user/admin.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

null

user/admin.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

null

user/admin.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

null

from django.contrib import admin, messages from django.contrib.auth.models import Group from app.settings import GROUP_BY_DIVISION_NAME from user.models import Division, History, Role, Team, User from user.utils import send_imported, send_slack def send_welcome(modeladmin, request, users): for user in users: ...

28.067308

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2,919

5.204748

0.293769

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0.059863

0.076967

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0.129989

0.078677

0

0.231929

2,919

103

81

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0.782337

0

0.188235

0

0.224735

0.023296

0

1

0.035294

false

0.011765

0.070588

0

0.435294

0

null

0

null

0

1

0

047d1fce76502daee3bd9c513a2ef6f8cb1425bd

11,584

py

Python

chassisml-sdk/chassisml/chassisml.py

modzy/chassis

a147411c5a27dfee371b75d4cba8d12171d89255

[ "Apache-2.0" ]

29

2021-07-27T15:59:31.000Z

2022-03-24T17:22:17.000Z

chassisml-sdk/chassisml/chassisml.py

modzy/chassis

a147411c5a27dfee371b75d4cba8d12171d89255

[ "Apache-2.0" ]

46

2021-07-29T08:47:21.000Z

2022-03-28T01:59:24.000Z

chassisml-sdk/chassisml/chassisml.py

modzy/chassis

a147411c5a27dfee371b75d4cba8d12171d89255

[ "Apache-2.0" ]

2

2021-12-06T20:33:38.000Z

2022-03-11T15:47:48.000Z

#!/usr/bin/env python # -*- coding utf-8 -*- import _io import os import time import json import requests import urllib.parse import tempfile import shutil import mlflow import base64 import string import numpy as np from chassisml import __version__ from ._utils import zipdir,fix_dependencies,write_modzy_yaml,NumpyEn...

41.224199

127

0.610238

1,404

11,584

4.770655

0.165954

0.041654

0.035533

0.018812

0.496268

0.461332

0.397283

0.372947

0.333831

0.299492

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0.002878

0.280041

11,584

280

128

41.371429

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0

1

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false

0.00939

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0.046948

0

null

0

null

0

1

0

047ffe9066fea69b5d6a121fa7e090201689c5c8

2,659

py

Python

test/cli/init_command/location_files_case/test_location_files.py

openeuler-mirror/pkgship

5aaa4953023fde8ff03892fe5608f0711a26a942

[ "MulanPSL-1.0" ]

null

test/cli/init_command/location_files_case/test_location_files.py

openeuler-mirror/pkgship

5aaa4953023fde8ff03892fe5608f0711a26a942

[ "MulanPSL-1.0" ]

null

test/cli/init_command/location_files_case/test_location_files.py

openeuler-mirror/pkgship

5aaa4953023fde8ff03892fe5608f0711a26a942

[ "MulanPSL-1.0" ]

1

2021-11-20T00:10:53.000Z

#!/usr/bin/python3 # ****************************************************************************** # Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved. # licensed under the Mulan PSL v2. # You can use this software according to the terms and conditions of the Mulan PSL v2. # You may obtain a c...

39.686567

98

0.616773

332

2,659

4.686747

0.391566

0.042416

0.044987

0.382391

0.298201

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0.179949

0.105398

0

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0.131579

false

0

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0

0.315789

0

null

0

null

0

1

0

04802ec7cded7ac0ac872783dbfebaa1d973ca5f

2,667

py

Python

apt/transports/filesytem.py

javajawa/debian-repo-remux

b6626b268acd1743208d8a399f8c975316cfbc80

[ "BSD-2-Clause" ]

1

2019-10-31T08:36:29.000Z

apt/transports/filesytem.py

javajawa/debian-repo-remux

b6626b268acd1743208d8a399f8c975316cfbc80

[ "BSD-2-Clause" ]

null

apt/transports/filesytem.py

javajawa/debian-repo-remux

b6626b268acd1743208d8a399f8c975316cfbc80

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ APT transport for a local OS accessible filesystem """ import os.path import urllib.parse from typing import IO from apt.transport import Transport from apt.transport.exceptions import URIMismatchError from apt.transport.directorylisting import DirectoryListing cl...

24.694444

66

0.594301

305

2,667

5.177049

0.272131

0.062698

0.025332

0.063331

0.528816

0.516783

0.462318

0

0.001075

0.302587

2,667

107

67

24.925234

0.847849

0.229096

0

0.410256

0

0.071116

0

1

0.102564

false

0

0.153846

0

0.384615

0

null

0

null

0

1

0

048379e73ffaf235bc1f161c9acc29e96bf1085e

3,845

py

Python

code/.ipynb_checkpoints/main-checkpoint.py

Bcastet/DeepReconstruction

0a91eeda4c34350bee6ebafdfc0528060b8142fc

[ "MIT" ]

8

2019-08-08T16:45:45.000Z

2021-12-09T07:00:52.000Z

code/.ipynb_checkpoints/main-checkpoint.py

Bcastet/DeepReconstruction

0a91eeda4c34350bee6ebafdfc0528060b8142fc

[ "MIT" ]

null

code/.ipynb_checkpoints/main-checkpoint.py

Bcastet/DeepReconstruction

0a91eeda4c34350bee6ebafdfc0528060b8142fc

[ "MIT" ]

4

2020-05-20T02:08:37.000Z

2021-12-01T08:47:05.000Z

# -*- coding: utf-8 -*- """ Created on Wed Jul 17 10:12:12 2019 @author: Phan Huy Thong """ import os, sys sys.path.append(os.getcwd()) import argparse from system import System from config import Config as cfg import utils import torch if __name__ == '__main__': #read argument parser = argparse.ArgumentPar...

36.971154

115

0.527698

517

3,845

3.806576

0.257253

0.025407

0.014228

0.017785

0.502541

0.489329

0.473069

0.448679

0.428354

0

0.029231

0.323797

3,845

104

116

36.971154

0.727692

0.039012

0

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0

1

0.049383

false

0

0.074074

0.049383

0.17284

0.037037

0

null

0

null

0

1

0

0487bb220d4008a76d9487e6275983871d38df44

2,800

py

Python

movielens_data.py

CLArg-group/Aspect-Item-Recommender-Systems

6fe98657cb17bcb8f4eb4606bdea7446909f4a71

[ "Apache-2.0" ]

1

2021-02-09T21:40:08.000Z

movielens_data.py

CLArg-group/Aspect-Item-Recommender-Systems

6fe98657cb17bcb8f4eb4606bdea7446909f4a71

[ "Apache-2.0" ]

null

movielens_data.py

CLArg-group/Aspect-Item-Recommender-Systems

6fe98657cb17bcb8f4eb4606bdea7446909f4a71

[ "Apache-2.0" ]

1

2021-02-09T21:40:55.000Z

''' script to get predictions for movielens data ''' from measures import predictions from processing import preprocessing import time import pickle import argparse if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument('--movielens_data', choices=['small', '100k'], required=True...

37.333333

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0.675714

375

2,800

4.778667

0.296

0.058036

0.03125

0.040179

0.233259

0.225446

0.203125

0.090402

0

0.01566

0.201786

2,800

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251

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0

0.037736

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0

0.018868

1

0

false

0

0.09434

0

0.09434

0.150943

0

null

0

null

0

1

0

0487ce7010d92a962a3a7ae8eef685aa4dc87679

11,608

py

Python

src/main/python/widgets/syntax_highlighters/nasm_highlighter.py

michaelbradley91/NASM-Debugger

c7b5593cfa2583c48c6607ee6e7d608c486bce0a

[ "MIT" ]

null

src/main/python/widgets/syntax_highlighters/nasm_highlighter.py

michaelbradley91/NASM-Debugger

c7b5593cfa2583c48c6607ee6e7d608c486bce0a

[ "MIT" ]

null

src/main/python/widgets/syntax_highlighters/nasm_highlighter.py

michaelbradley91/NASM-Debugger

c7b5593cfa2583c48c6607ee6e7d608c486bce0a

[ "MIT" ]

null

from PyQt5.QtCore import QRegularExpression, Qt, QRegularExpressionMatchIterator, QRegularExpressionMatch, QRegExp from PyQt5.QtGui import QSyntaxHighlighter, QTextDocument, QTextCharFormat, QFont, QColor from widgets.syntax_highlighters.highlighting_rule import HighlightingRule # noinspection SpellCheckingInspection...

67.098266

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0

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121

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null

0

null

0

1

0

048a2c388530b970ba835f4824f7f77e7ebda823

1,964

py

Python

Intuitive.py

Sundragon1993/Smart-real-estate-assistant

3e901e86e1009bf464a44f870f3ee911217a9916

[ "MIT" ]

null

Intuitive.py

Sundragon1993/Smart-real-estate-assistant

3e901e86e1009bf464a44f870f3ee911217a9916

[ "MIT" ]

null

Intuitive.py

Sundragon1993/Smart-real-estate-assistant

3e901e86e1009bf464a44f870f3ee911217a9916

[ "MIT" ]

null

import pandas as pd from sklearn.model_selection import train_test_split import matplotlib.pyplot as plt from keras.models import Sequential from keras.layers import Dense from sklearn import preprocessing from keras.layers import Dropout from keras import regularizers df = pd.read_csv('housepricedata.csv') print(df) ...

29.757576

96

0.721996

304

1,964

4.470395

0.279605

0.014717

0.106696

0.114054

0.348786

0.272995

0.247976

0.19794

0

0.036109

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1,964

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0

0.207547

0

0.090631

0

1

0

false

0

0.150943

0

0.150943

0.113208

0

null

0

null

0

1

0

048ae9bb8b1e3a03ae719af21c92a5fb4cfdf9ae

7,934

py

Python

arxiv_miner/mining_engine.py

valayDave/arxiv-miner

47751ac731e797d9a0e49959d11c07857e747aee

[ "MIT" ]

95

2021-05-28T23:07:13.000Z

2022-02-08T02:44:09.000Z

arxiv_miner/mining_engine.py

valayDave/arxiv-miner

47751ac731e797d9a0e49959d11c07857e747aee

[ "MIT" ]

7

2021-05-30T01:46:49.000Z

2021-07-15T23:18:54.000Z

arxiv_miner/mining_engine.py

valayDave/arxiv-miner

47751ac731e797d9a0e49959d11c07857e747aee

[ "MIT" ]

6

2021-05-29T09:58:34.000Z

2021-06-10T10:32:27.000Z

""" Scraping Engine creates the Identiy Data for the papers. The Mining Engine on Instantiation - Will check For the New Papers to Mine. - It will Create a ArxivPaper --> Download Latex --> Parse Latex --> Sematically Parse the Paper here too. ...

37.961722

136

0.612806

947

7,934

4.87434

0.223865

0.040511

0.025997

0.018414

0.168328

0.14753

0.100737

0.075823

0.063692

0

0.005123

0.311066

7,934

209

137

37.961722

0.839371

0.159188

0

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0

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0.053413

0.00352

0

1

0.075342

false

0

0.082192

0

0.226027

0

null

0

null

0

1

0

048b183da7874e695331f6fac93ac63e58a5596b

3,190

py

Python

janus/janus/analysis/tree_pairs_analysis.py

josepablocam/janus-public

4713092b27d02386bdb408213d8edc0dc5859eec

[ "MIT" ]

null

janus/janus/analysis/tree_pairs_analysis.py

josepablocam/janus-public

4713092b27d02386bdb408213d8edc0dc5859eec

[ "MIT" ]

null

janus/janus/analysis/tree_pairs_analysis.py

josepablocam/janus-public

4713092b27d02386bdb408213d8edc0dc5859eec

[ "MIT" ]

null

#!/usr/bin/env python3 from argparse import ArgumentParser from collections import defaultdict import numpy as np import os import pickle import matplotlib matplotlib.use('pdf') matplotlib.rcParams['pdf.fonttype'] = 42 matplotlib.rcParams['ps.fonttype'] = 42 matplotlib.rcParams['font.size'] = 12 import matplotlib.pypl...

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0

null

0

null

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1

0

048b8a47b92597ba13d720ac05cab93a23005c88

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py

Python

models/ConvLarge.py

iSarmad/MeanTeacher-SNTG-HybridNet

7ca9f8fc89a7be0524b2a0fb648678b9556f8843

[ "MIT" ]

24

2019-01-22T06:20:41.000Z

2022-03-26T07:51:40.000Z

models/ConvLarge.py

iSarmad/MeanTeacher-SNTG-HybridNet

7ca9f8fc89a7be0524b2a0fb648678b9556f8843

[ "MIT" ]

1

2021-04-12T06:27:43.000Z

models/ConvLarge.py

iSarmad/MeanTeacher-SNTG-HybridNet

7ca9f8fc89a7be0524b2a0fb648678b9556f8843

[ "MIT" ]

12

2019-01-03T07:18:06.000Z

2021-12-09T18:24:27.000Z

import torch.nn as nn import torch.nn.functional as F import torch from torch.nn.init import kaiming_normal_ from torch.nn.utils import weight_norm from torch.autograd.variable import Variable import math __all__ = ['convlarge'] # noise function taken from blog : https://ferretj.github.io/ml/2018/01/22/temporal-ense...

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0

null

0

null

0

1

0

048b9de36f4ed588142ded1ea107dfbc36e23fb6

932

py

Python

track/urls.py

IJaccojwang/loop

c534051ac0a0744638624376c814e22dd62fbd08

[ "MIT" ]

null

track/urls.py

IJaccojwang/loop

c534051ac0a0744638624376c814e22dd62fbd08

[ "MIT" ]

4

2021-03-19T01:02:03.000Z

2021-09-08T01:01:45.000Z

track/urls.py

IJaccojwang/loop

c534051ac0a0744638624376c814e22dd62fbd08

[ "MIT" ]

null

from django.conf.urls.static import static from django.conf.urls import url from django.conf import settings from . import views urlpatterns=[ url('^$', views.index, name = 'index'), url(r'^profile$',views.profile,name='profile'), url(r'^profile/edit$',views.edit_profile,name='edit'), url(r'^profile/up...

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932

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0.060976

0.064024

0.054878

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932

21

81

44.380952

0.785629

0

0.261522

0

1

0

false

0

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0

0.210526

0

null

0

null

0

1

0

048f525023727acec650d30bcde2c29bc495c599

2,401

py

Python

tests/presentation/test_create_presentation.py

abitoun-42/atpbar

fe5e4c24621b4707c5253be8ab2b5ae48f4801e3

[ "BSD-3-Clause" ]

72

2019-02-24T15:49:57.000Z

2022-03-27T19:38:38.000Z

tests/presentation/test_create_presentation.py

abitoun-42/atpbar

fe5e4c24621b4707c5253be8ab2b5ae48f4801e3

[ "BSD-3-Clause" ]

24

2019-02-18T12:39:04.000Z

2022-01-19T02:14:56.000Z

tests/presentation/test_create_presentation.py

abitoun-42/atpbar

fe5e4c24621b4707c5253be8ab2b5ae48f4801e3

[ "BSD-3-Clause" ]

10

2019-04-19T15:39:32.000Z

2022-01-08T16:57:42.000Z

# Tai Sakuma <tai.sakuma@gmail.com> import os import sys import pytest import unittest.mock as mock has_jupyter_notebook = False try: import ipywidgets as widgets from IPython.display import display has_jupyter_notebook = True except ImportError: pass from atpbar.presentation.create import create_pr...

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0

0.245902

0

null

0

null

0

1

0

048fe32428b42c9f1df5738539aa6f0a4f71bad4

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py

Python

GridTrader_with_db.py

wcen/Leveraged-grid-trading-bot

a6920b9c0d6aecaa6e28c6e12d760b75e5d9bff2

[ "MIT" ]

6

2021-11-20T21:47:42.000Z

2022-03-31T05:38:27.000Z

GridTrader_with_db.py

webclinic017/Leveraged-grid-trading-bot

a698bb5bea0fed00c28dce023afa751c4f82e869

[ "MIT" ]

null

GridTrader_with_db.py

webclinic017/Leveraged-grid-trading-bot

a698bb5bea0fed00c28dce023afa751c4f82e869

[ "MIT" ]

5

2021-10-11T20:25:38.000Z

2022-03-04T15:02:17.000Z

import sys import time import datetime import asyncio import pytz from GridTrader import GridTrader from db_connector import db_connector class GridTrader_with_db(GridTrader): def __init__(self, file='setting.json'): super().__init__(file=file) info=GridTrader.read_setting(file=file) sel...

41.90991

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0.031646

0.24288

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0.102848

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0

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0

0.146067

0

null

0

null

0

1

0

04906bc044f904359850b223172cd50440da19f9

1,218

py

Python

pstests/settings/launch_scheduler.py

sj1104/Het

81b7e9f0f593108db969fc46a1af3df74b825230

[ "Apache-2.0" ]

2

2021-12-05T07:11:04.000Z

2021-12-15T07:53:48.000Z

pstests/settings/launch_scheduler.py

sj1104/Het

81b7e9f0f593108db969fc46a1af3df74b825230

[ "Apache-2.0" ]

null

pstests/settings/launch_scheduler.py

sj1104/Het

81b7e9f0f593108db969fc46a1af3df74b825230

[ "Apache-2.0" ]

3

2021-04-01T22:39:13.000Z

2021-04-21T11:51:57.000Z

from athena import gpu_ops as ad import os import sys import yaml import json import multiprocessing import signal def main(): def start_scheduler(settings): for key, value in settings.items(): os.environ[key] = str(value) assert os.environ['DMLC_ROLE'] == "scheduler" print('S...

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0

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81

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0

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0.263158

0.105263

0

null

0

null

0

1

0

0491276565adb67c9144a9e141d865fe9de613d1

10,959

py

Python

featureio/parsers.py

nijibabulu/featureio

23c439de645a654f1e548c4ff0df409ecd3a2935

[ "MIT" ]

null

featureio/parsers.py

nijibabulu/featureio

23c439de645a654f1e548c4ff0df409ecd3a2935

[ "MIT" ]

null

featureio/parsers.py

nijibabulu/featureio

23c439de645a654f1e548c4ff0df409ecd3a2935

[ "MIT" ]

null

#! /usr/bin/env python import functools from . import gene def BedIterator(handle, cls=gene.Gene): for n, line in enumerate(handle): if line.startswith('#'): continue if not len(line.strip()): continue fields = line.strip().split('\t') if len(fields) != 12:...

35.237942

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10,959

4.362353

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0.018878

0.012226

0.196692

0.156778

0.123697

0.116864

0.078029

0.070478

0

0.010492

0.347751

10,959

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95

35.351613

0.767627

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0

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0

0.053387

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0

0.003226

0

1

0.112108

false

0.008969

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0.022422

0

null

0

null

0

1

0

04929055f4410ade9e4497312f0a6f059a8507e0

8,183

py

Python

fiber/config.py

agrimrules/fiber

e21e7dea019eae6259705b351f0e196f9eaa4835

[ "Apache-2.0" ]

1

2020-08-11T01:52:08.000Z

fiber/config.py

agrimrules/fiber

e21e7dea019eae6259705b351f0e196f9eaa4835

[ "Apache-2.0" ]

null

fiber/config.py

agrimrules/fiber

e21e7dea019eae6259705b351f0e196f9eaa4835

[ "Apache-2.0" ]

null

# Copyright 2020 Uber Technologies, 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 law or agreed to ...

32.995968

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0.638397

1,088

8,183

4.674632

0.27114

0.023791

0.011797

0.010224

0.044436

0.025167

0.013763

0

0.004033

0.272761

8,183

247

33.129555

0.850613

0.546377

0

0.053191

0

0.076577

0

1

0.074468

false

0

0.031915

0.010638

0.180851

0

null

0

null

0

1

0

0493ef8fc992e579828c78f162358b41a9e24ff1

14,188

py

Python

compartmental.py

burakbudanur/compartmental

9729aa2b7a7464c7a866828b72b3a09d95e0017a

[ "MIT" ]

null

compartmental.py

burakbudanur/compartmental

9729aa2b7a7464c7a866828b72b3a09d95e0017a

[ "MIT" ]

null

compartmental.py

burakbudanur/compartmental

9729aa2b7a7464c7a866828b72b3a09d95e0017a

[ "MIT" ]

null

import numpy as np import networkx as nx import sympy as sp import matplotlib.pyplot as plt import matplotlib as mpl from sys import exit from scipy.optimize import curve_fit from scipy.integrate import odeint class Model(nx.DiGraph): """ Base class for compartmental models. See also: --------- ...

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0.518889

1,487

14,188

4.801614

0.207801

0.064426

0.046218

0.061625

0.290056

0.187815

0.164706

0.137815

0.114006

0.088375

0

0.008401

0.379123

14,188

446

97

31.811659

0.802134

0.214688

0

0.18894

0

0.045778

0

1

0.059908

false

0

0.036866

0.013825

0.147465

0.013825

0

null

0

null

0

1

0

0495634b91f43d0e7597e99e33589f764a60171d

13,207

py

Python

tpx3format/read.py

M4I-nanoscopy/tpx3HitParser

76147455a75effc1e799b6569c23320c5a4cf21a

[ "MIT" ]

9

2021-03-02T12:13:54.000Z

2022-03-23T15:36:09.000Z

tpx3format/read.py

M4I-nanoscopy/tpx3HitParser

76147455a75effc1e799b6569c23320c5a4cf21a

[ "MIT" ]

1

2020-10-08T10:45:15.000Z

2021-02-15T15:27:56.000Z

tpx3format/read.py

M4I-nanoscopy/tpx3HitParser

76147455a75effc1e799b6569c23320c5a4cf21a

[ "MIT" ]

1

2022-03-25T08:42:54.000Z

import logging import struct import h5py import numpy as np from lib.constants import * import os # TODO: Logging does not work for multiprocessing processes on Windows logger = logging.getLogger('root') def read_positions(f): control_events = [] i = 0 rollover_counter = 0 approaching_rollover = Fa...

32.609877

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0.008299

0.020228

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0.169476

0.10529

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0

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0

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0

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0

1

0.071429

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0.184874

0

null

0

null

0

1

0

04959864b1c4805376ca408fc8be78c66f6a18b8

4,717

py

Python

pysen/ext/isort_wrapper.py

linshoK/pysen

2b84a15240c5a47cadd8e3fc8392c54c2995b0b1

[ "MIT" ]

423

2021-03-22T08:45:12.000Z

2022-03-31T21:05:53.000Z

pysen/ext/isort_wrapper.py

linshoK/pysen

2b84a15240c5a47cadd8e3fc8392c54c2995b0b1

[ "MIT" ]

1

2022-02-23T08:53:24.000Z

2022-03-23T14:11:54.000Z

pysen/ext/isort_wrapper.py

linshoK/pysen

2b84a15240c5a47cadd8e3fc8392c54c2995b0b1

[ "MIT" ]

9

2021-03-26T14:20:07.000Z

2022-03-24T13:17:06.000Z

import copy import dataclasses import enum import functools import pathlib from typing import Any, Dict, Iterable, List, Optional, Set, Tuple from pysen import process_utils from pysen.command import check_command_installed from pysen.dist_version import get_version from pysen.error_lines import parse_error_diffs from...

32.088435

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0.328571

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0.080723

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0

0.006895

0.231291

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146

90

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0.847215

0.104092

0

0.018018

0

0.081613

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0

1

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false

0

0.135135

0.009009

0.432432

0

null

0

null

0

1

0

0498bc969c8391d24523c65b85a0eaca372772f0

1,816

py

Python

lib/cello_util/plasmid_map/plasmid_html.py

OGalOz/cello

1b62807e9881900daf8f3f59eafb11743ad84d6d

[ "MIT" ]

null

lib/cello_util/plasmid_map/plasmid_html.py

OGalOz/cello

1b62807e9881900daf8f3f59eafb11743ad84d6d

[ "MIT" ]

null

lib/cello_util/plasmid_map/plasmid_html.py

OGalOz/cello

1b62807e9881900daf8f3f59eafb11743ad84d6d

[ "MIT" ]

null

#python3 """ Takes template and inserts javascript into template html """ import json """ Inputs: plasmid_js: (str) filepath to file containing javascript string. out_fp: (str) filepath to where we'll write the file out. """ def html_prepare(plasmid_js_fp, template_html_fp, out_fp, config_fp): with open (...

25.577465

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0.697786

0.688162

0.66795

0.598653

0

0.001441

0.235683

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0.747118

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0

0.555556

0

0.134299

0

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0.055556

false

0

0.027778

0

0.138889

0

null

0

null

0

1

0

049aa68e09eda0578871d1ae318ec877fd5826d7

1,985

py

Python

tests/test_cluster_01.py

wavestoweather/enstools

d0f612b0187b0ad54dfbbb78aa678564f46eaedf

[ "Apache-2.0" ]

5

2021-12-16T14:08:00.000Z

2022-03-02T14:08:10.000Z

tests/test_cluster_01.py

wavestoweather/enstools

d0f612b0187b0ad54dfbbb78aa678564f46eaedf

[ "Apache-2.0" ]

null

tests/test_cluster_01.py

wavestoweather/enstools

d0f612b0187b0ad54dfbbb78aa678564f46eaedf

[ "Apache-2.0" ]

null

import numpy from enstools.clustering import prepare from enstools.clustering import cluster from sklearn.cluster import KMeans variables = [] ens_members = 20 n_variables = 2 def setup(): """ create two variables for clustering """ for ivar in range(n_variables): var = numpy.random.randn(en...

28.357143

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1,985

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0.09775

0.05353

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0.211016

0.150504

0.071373

0

0.024167

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83

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0.817766

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0

0.142857

0

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0

0.2

1

0.114286

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0

0.114286

0

0.228571

0

null

0

null

0

1

0

049b4aaa6c9b6af5b5f7a084af5bbd63b6108f08

17,349

py

Python

magpylib/_src/display/display_matplotlib.py

OrtnerMichael/magPyLib

4c7e7f56f6e0b915ec0e024c172c460fa80126e5

[ "BSD-2-Clause" ]

null

magpylib/_src/display/display_matplotlib.py

OrtnerMichael/magPyLib

4c7e7f56f6e0b915ec0e024c172c460fa80126e5

[ "BSD-2-Clause" ]

null

magpylib/_src/display/display_matplotlib.py

OrtnerMichael/magPyLib

4c7e7f56f6e0b915ec0e024c172c460fa80126e5

[ "BSD-2-Clause" ]

null

""" matplotlib draw-functionalities""" import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d.art3d import Poly3DCollection from magpylib._src.defaults.defaults_classes import default_settings as Config from magpylib._src.display.display_utility import draw_arrow_from_vertices from magpylib._src....

34.837349

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0.022371

0.02578

0.320017

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0.198786

0.149249

0.118994

0

0.011916

0.322785

17,349

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0.787046

0.170212

0

0.236769

0

0.012375

0

1

0.030641

false

0

0.047354

0

0.097493

0

null

0

null

0

1

0

049c51b8f00635b7afe59969e4b68f6036acb2b1

3,493

py

Python

solum/builder/controllers/v1/image.py

ed-/solum

2d23edb7fb53e1bdeff510710824658575d166c4

[ "Apache-2.0" ]

null

solum/builder/controllers/v1/image.py

ed-/solum

2d23edb7fb53e1bdeff510710824658575d166c4

[ "Apache-2.0" ]

null

solum/builder/controllers/v1/image.py

ed-/solum

2d23edb7fb53e1bdeff510710824658575d166c4

[ "Apache-2.0" ]

null

# Copyright 2014 - Rackspace Hosting # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...

33.912621

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3,493

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0.018576

0.022556

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0.104379

0

0.033271

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76

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0

0.105263

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false

0

0.140351

0.017544

0.45614

0

null

0

null

0

1

0

049db6a644f9d8354d438e91d794bf040ae0bcbe

1,091

py

Python

pyAI-OpenMV4/3.机器学习/2.笑脸识别/nn_haar_smile_detection.py

01studio-lab/MicroPython_Examples

f06a1bee398674ceafebed2aac88d8413cc8abad

[ "MIT" ]

73

2020-05-02T13:48:27.000Z

2022-03-26T13:15:10.000Z

pyAI-OpenMV4/3.机器学习/2.笑脸识别/nn_haar_smile_detection.py

01studio-lab/MicroPython_Examples

f06a1bee398674ceafebed2aac88d8413cc8abad

[ "MIT" ]

null

pyAI-OpenMV4/3.机器学习/2.笑脸识别/nn_haar_smile_detection.py

01studio-lab/MicroPython_Examples

f06a1bee398674ceafebed2aac88d8413cc8abad

[ "MIT" ]

50

2020-05-15T13:57:28.000Z

2022-03-30T14:03:33.000Z

# 笑脸识别示例（ Haar Cascade + CNN 模型）. # #翻译和注释：01Studio import sensor, time, image, os, nn #设置摄像头 sensor.reset() # Reset and initialize the sensor. sensor.set_contrast(2) sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 sensor.set_framesize(sensor.QVGA) # Set frame size ...

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null

0

null

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1

0

049f32d34a3c6febe0ef73ec987f383e72dcf188

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py

Python

mapshader/__init__.py

lex-c/mapshader

321246b3011e36abe580d0beff4f07ec5ee38d95

[ "MIT" ]

null

mapshader/__init__.py

lex-c/mapshader

321246b3011e36abe580d0beff4f07ec5ee38d95

[ "MIT" ]

null

mapshader/__init__.py

lex-c/mapshader

321246b3011e36abe580d0beff4f07ec5ee38d95

[ "MIT" ]

null

import sys try: from ._version import __version__ except ImportError: __version__ = "Unknown" def test(): """Run the mapshader test suite.""" import os try: import pytest except ImportError: import sys sys.stderr.write("You need to install py.test to run tests.\n\n") ...

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0

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0

null

0

null

0

1

0

049f8780ded61cd749db86845928ea603541d12d

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py

Python

server/apps/bot/dispatcher/callbacks/list_movies.py

LowerDeez/movies_finder

3763bfe4c0d1cfe36e081c45a9cc9cdaa85e0ee4

[ "MIT" ]

null

server/apps/bot/dispatcher/callbacks/list_movies.py

LowerDeez/movies_finder

3763bfe4c0d1cfe36e081c45a9cc9cdaa85e0ee4

[ "MIT" ]

null

server/apps/bot/dispatcher/callbacks/list_movies.py

LowerDeez/movies_finder

3763bfe4c0d1cfe36e081c45a9cc9cdaa85e0ee4

[ "MIT" ]

null

from typing import TYPE_CHECKING from apps.bot.dispatcher.consts import ( CONSTS, ACTION_CHOICES, STATE_CHOICES ) from apps.bot.dispatcher.services import ( get_current_page, render_movies, get_last_movie_keyboard ) from apps.bot.tmdb import TMDBWrapper if TYPE_CHECKING: from telegram impo...

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0

null

0

null

0

1

0

04a27c0d4d3c374f1212533d3cfbf7e2202872c1

1,704

py

Python

subt/test_subt.py

robotika/osgar

6f4f584d5553ab62c08a1c7bb493fefdc9033173

[ "MIT" ]

12

2017-02-16T10:22:59.000Z

2022-03-20T05:48:06.000Z

subt/test_subt.py

robotika/osgar

6f4f584d5553ab62c08a1c7bb493fefdc9033173

[ "MIT" ]

618

2016-08-30T04:46:12.000Z

2022-03-25T16:03:10.000Z

subt/test_subt.py

robotika/osgar

6f4f584d5553ab62c08a1c7bb493fefdc9033173

[ "MIT" ]

11

2016-08-27T20:02:55.000Z

2022-03-07T08:53:53.000Z

import unittest import logging import math from unittest.mock import MagicMock, call from osgar.bus import Bus from osgar.lib import quaternion from subt.main import SubTChallenge from subt.trace import distance3D from subt import simulation g_logger = logging.getLogger(__name__) def entrance_reached(sim): co...

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0

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0.357143

0

null

0

null

0

1

0

04a51c3634fa37cb65a083a5e078715450463600

260

py

Python

registration/get_image.py

roguen/jive-derby

bc9e0f63e4298c3f1869288345d79e320fd20b65

[ "Apache-2.0" ]

null

registration/get_image.py

roguen/jive-derby

bc9e0f63e4298c3f1869288345d79e320fd20b65

[ "Apache-2.0" ]

null

registration/get_image.py

roguen/jive-derby

bc9e0f63e4298c3f1869288345d79e320fd20b65

[ "Apache-2.0" ]

null

from picamera import PiCamera import time def captureImage(): camera = PiCamera() camera.start_preview() camera.rotation = 90 time.sleep(1) camera.capture('static/images/test.jpg') camera.stop_preview() if __name__ == '__main__': captureImage()

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0

null

0

null

0

1

0

04a725fd777c3aa01c9d14a46b6d2bdbf741ca2a

4,012

py

Python

gpvdm_gui/gui/scan_tab_ribbon.py

roderickmackenzie/gpvdm

914fd2ee93e7202339853acaec1d61d59b789987

[ "BSD-3-Clause" ]

12

2016-09-13T08:58:13.000Z

2022-01-17T07:04:52.000Z

gpvdm_gui/gui/scan_tab_ribbon.py

roderickmackenzie/gpvdm

914fd2ee93e7202339853acaec1d61d59b789987

[ "BSD-3-Clause" ]

3

2017-11-11T12:33:02.000Z

2019-03-08T00:48:08.000Z

gpvdm_gui/gui/scan_tab_ribbon.py

roderickmackenzie/gpvdm

914fd2ee93e7202339853acaec1d61d59b789987

[ "BSD-3-Clause" ]

6

2019-01-03T06:17:12.000Z

2022-01-01T15:59:00.000Z

# -*- coding: utf-8 -*- # # General-purpose Photovoltaic Device Model - a drift diffusion base/Shockley-Read-Hall # model for 1st, 2nd and 3rd generation solar cells. # Copyright (C) 2008-2022 Roderick C. I. MacKenzie r.c.i.mackenzie at googlemail.com # # https://www.gpvdm.com # # This program is free ...

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null

0

null

0

1

0

04a7d1ad3d2c4355c91792c04e9a6461198ad07a

2,855

py

Python

Components/text.py

amauri-bz/az_log_viewer

3d11bf94993e34ce1253266b9bcf64db4c4ba6c4

[ "MIT" ]

null

Components/text.py

amauri-bz/az_log_viewer

3d11bf94993e34ce1253266b9bcf64db4c4ba6c4

[ "MIT" ]

null

Components/text.py

amauri-bz/az_log_viewer

3d11bf94993e34ce1253266b9bcf64db4c4ba6c4

[ "MIT" ]

null

import re import tkinter as tk from tkinter import ttk from Components.db import Database from Components.pop_up_menu import PopUpMenu from Components.text_sync import TextSync from Components.custom_text import * class TextScrollCombo(tk.Frame): def __init__(self, root, tab): super().__init__(root, bg='...

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0

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0

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0

0.215385

0

null

0

null

0

1

0

04a9860077d854d091c1198ef151308897080df1

1,913

py

Python

applications/plugins/Compliant/examples/chain.py

sofa-framework/issofa

94855f488465bc3ed41223cbde987581dfca5389

[ "OML" ]

null

applications/plugins/Compliant/examples/chain.py

sofa-framework/issofa

94855f488465bc3ed41223cbde987581dfca5389

[ "OML" ]

null

applications/plugins/Compliant/examples/chain.py

sofa-framework/issofa

94855f488465bc3ed41223cbde987581dfca5389

[ "OML" ]

null

import Sofa from Compliant import StructuralAPI StructuralAPI.geometric_stiffness=2 def createScene(root): # root node setup root.createObject('RequiredPlugin', pluginName = 'Compliant') root.createObject('VisualStyle', displayFlags="showBehavior" ) root.createObject('CompliantAttachButtonSettin...

35.425926

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0.651856

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1,913

5.414847

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0.017742

0.014516

0.029032

0.194355

0.16129

0.120968

0.095161

0

0.04405

0.204914

1,913

53

151

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0.170413

0

0.135324

0.032402

0

1

0.037037

false

0

0.074074

0

0.111111

0

null

0

null

0

1

0

04a9cf8fa788b8c75de2f502190ad9f5825f1285

5,636

py

Python

cwe_sfp_to_threatspec.py

threatspec/pythreatspec

77c0c7d3052adaeb91ea28ae61e60538c6d3fa9b

[ "MIT" ]

10

2018-01-14T22:53:29.000Z

2019-05-22T08:26:56.000Z

cwe_sfp_to_threatspec.py

threatspec/pythreatspec

77c0c7d3052adaeb91ea28ae61e60538c6d3fa9b

[ "MIT" ]

1

2019-02-17T23:39:19.000Z

cwe_sfp_to_threatspec.py

threatspec/pythreatspec

77c0c7d3052adaeb91ea28ae61e60538c6d3fa9b

[ "MIT" ]

4

2018-03-03T03:16:37.000Z

2019-02-17T03:09:33.000Z

#!/usr/bin/env python import re import sys import xmltodict import json import time import collections from pprint import pprint def create_id(obj): identifier = obj["@ID"] name = obj["@Name"] name = re.sub(r'[^a-zA-Z0-9_ \-]', "", name) name = re.sub(r'[ \-]', "_", name) name = name.lower() ...

32.767442

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5.513912

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0.11873

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0

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0.775411

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1

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false

0

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0.029197

0

null

0

null

0

1

0

04ad585a9a2b68ae8175682dbfc62c2645117883

300

py

Python

baseline/crosswalk.py

wko/clinical-trial-criteria-translation

1478c5bab3511c7a92313a488510641d161deeff

[ "Apache-2.0" ]

null

baseline/crosswalk.py

wko/clinical-trial-criteria-translation

1478c5bab3511c7a92313a488510641d161deeff

[ "Apache-2.0" ]

null

baseline/crosswalk.py

wko/clinical-trial-criteria-translation

1478c5bab3511c7a92313a488510641d161deeff

[ "Apache-2.0" ]

null

import requests import os # translate CUIs into SNOMED Ids def crosswalk(cui): headers = {'Accept': 'application/xml'} data = {"data": cui} mapping = requests.post(f"{os.environ['METAMAP_WEB_URL']}crosswalk", data = data) print(mapping.text) return mapping.text.splitlines()

27.272727

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0

0.18

300

10

86

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0.1

0

0.242537

0.149254

0

1

0.125

false

0

0.25

0

0.5

0.125

0

null

0

null

0

1

0

04ae09bb61ba231f35c7bc90f21c1f434a2f9b74

4,469

py

Python

DAO.py

arturj9/sistema-mercearia-python

000c7e887350768483d7a7a6058f2a5d0dcaa83d

[ "MIT" ]

null

DAO.py

arturj9/sistema-mercearia-python

000c7e887350768483d7a7a6058f2a5d0dcaa83d

[ "MIT" ]

null

DAO.py

arturj9/sistema-mercearia-python

000c7e887350768483d7a7a6058f2a5d0dcaa83d

[ "MIT" ]

null

from Models import * class DaoCategoria: @classmethod def salvar(cls, categoria): with open('arquivos-txt/categoria.txt', 'a') as arq: arq.writelines(categoria) arq.writelines('\n') @classmethod def ler(cls): with open('arquivos-txt/categoria.txt', 'r') as arq: ...

42.160377

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0.55829

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4,469

4.68985

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0.076954

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0.220441

0.154709

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4,469

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0

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0

1

0.113208

false

0

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0

0.235849

0

null

0

null

0

1

0

04ae9a2e77bc4446dfbf168a4becf211916997ba

1,221

py

Python

invenio_previewer/extensions/gis.py

nyudlts/invenio-previewer

89da1108a8ed8c38e98bebc470d33e0447bea277

[ "MIT" ]

null

invenio_previewer/extensions/gis.py

nyudlts/invenio-previewer

89da1108a8ed8c38e98bebc470d33e0447bea277

[ "MIT" ]

null

invenio_previewer/extensions/gis.py

nyudlts/invenio-previewer

89da1108a8ed8c38e98bebc470d33e0447bea277

[ "MIT" ]

null

# -*- coding: utf-8 -*- """GIS data previewer""" from __future__ import absolute_import, print_function from flask import render_template from ..proxies import current_previewer import zipfile import cchardet as chardet from six import binary_type previewable_extensions = ['zip'] def can_preview(file): """Chec...

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4.934641

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0

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39

79

31.307692

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0

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0

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0

1

0.074074

false

0

0.222222

0

0.37037

0.037037

0

null

0

null

0

1

0

04b24242aa80e1798826b605b90f49e757941f2e

4,153

py

Python

code/entity2facts.py

Program-Bear/WalkingNetwork

b19ab91ba85e08992bf6afa865655deeaa19c509

[ "BSD-3-Clause" ]

null

code/entity2facts.py

Program-Bear/WalkingNetwork

b19ab91ba85e08992bf6afa865655deeaa19c509

[ "BSD-3-Clause" ]

null

code/entity2facts.py

Program-Bear/WalkingNetwork

b19ab91ba85e08992bf6afa865655deeaa19c509

[ "BSD-3-Clause" ]

3

2018-04-13T05:50:09.000Z

2019-01-05T06:55:53.000Z

import numpy as np import json from tqdm import tqdm def process(temp): temp = temp.split('(')[1] temp = temp.split(')')[0] _id = temp.split(',')[0] _start = temp.split(',')[1] _len = temp.split(',')[2] # print(_id) return int(_id),int(_start),int(_len) def genDict(): dic = {} file_o...

31.462121

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4,153

4.176678

0.194346

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0.023689

0.028765

0.230118

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0

0.029793

0.256441

4,153

131

103

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0.735751

0.147604

0

0.065217

0

0.088352

0.029545

0

1

0.086957

false

0

0.032609

0

0.195652

0.054348

0

null

0

null

0

1

0

04b54af5409bd211bebf59e0e6f1b320669915e5

4,533

py

Python

EyePatterns/prepare_data/format_data.py

Sale1996/Pattern-detection-of-eye-tracking-scanpaths

15c832f26dce98bb95445f9f39f454f99bbb6029

[ "MIT" ]

1

2021-12-07T08:02:30.000Z

EyePatterns/prepare_data/format_data.py

Sale1996/Pattern-detection-of-eye-tracking-scanpaths

15c832f26dce98bb95445f9f39f454f99bbb6029

[ "MIT" ]

null

EyePatterns/prepare_data/format_data.py

Sale1996/Pattern-detection-of-eye-tracking-scanpaths

15c832f26dce98bb95445f9f39f454f99bbb6029

[ "MIT" ]

null

import os import numpy as np # collecting all csv files from forwarded directory def collect_csv_data_collection_from_directory(path): import pandas as pd import os data_collection = [] for csv_name in os.listdir(path): csv_path = os.path.join(path, csv_name) data_collection.append(p...

35.139535

118

0.698875

632

4,533

4.705696

0.197785

0.075319

0.033289

0.060525

0.408204

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0.284802

0.246469

0.190989

0.167451

0

0.011432

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128

119

35.414063

0.838525

0.206927

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0

0.017049

0.007267

0

1

0.071429

false

0

0.166667

0

0.297619

0

null

0

null

0

1

0

04b5bdc0bd251cb1ebbbc0b150a7e991848278cf

6,432

py

Python

workon/utils/cache.py

devittek/django-workon

c39ddecac2649406a7a58922646478c5615d4cfd

[ "BSD-3-Clause" ]

1

2018-01-19T16:08:54.000Z

workon/utils/cache.py

devittek/django-workon

c39ddecac2649406a7a58922646478c5615d4cfd

[ "BSD-3-Clause" ]

1

2020-07-06T08:35:18.000Z

workon/utils/cache.py

devittek/django-workon

c39ddecac2649406a7a58922646478c5615d4cfd

[ "BSD-3-Clause" ]

4

2020-04-08T06:14:46.000Z

2020-12-11T14:28:06.000Z

from time import time import threading from functools import partial from django.utils.functional import cached_property from django.core.cache import cache try: import asyncio except (ImportError, SyntaxError): asyncio = None __all__ = [ "cached_property", "cached_property_with_ttl", "memoize",...

29.504587

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0.632929

796

6,432

4.741206

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0.066773

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0.175941

0.160042

0

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6,432

218

97

29.504587

0.815629

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0

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0

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0

1

0.156522

false

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0.408696

0

null

0

null

0

1

0

04b6a85ac9932e9cbfd03042b0f9d5385ad450ca

22,179

py

Python

src/roto/roto.py

joshbriegal/roto

58694285932e101286e407bc521b2fa80e4eed47

[ "MIT" ]

null

src/roto/roto.py

joshbriegal/roto

58694285932e101286e407bc521b2fa80e4eed47

[ "MIT" ]

3

2021-09-15T10:08:47.000Z

2021-09-16T17:15:55.000Z

src/roto/roto.py

joshbriegal/roto

58694285932e101286e407bc521b2fa80e4eed47

[ "MIT" ]

null

import logging from itertools import cycle from typing import Dict, List, Optional, Tuple, Union import matplotlib.cm as cm import matplotlib.pyplot as plt import numpy as np import pandas as pd from matplotlib.axes import Axes from matplotlib.figure import Figure from matplotlib.ticker import ScalarFormatter from sci...

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null

0

null

0

1

0

04b810df629398a8386d9f310c6d63fef1c5faa9

2,638

py

Python

testPrintProfile2.py

dmsteck/paper-regularized-qn-benchmark

b07ed54ca50af4bf2cf45952c103f3f80b62f5e2

[ "MIT" ]

null

testPrintProfile2.py

dmsteck/paper-regularized-qn-benchmark

b07ed54ca50af4bf2cf45952c103f3f80b62f5e2

[ "MIT" ]

null

testPrintProfile2.py

dmsteck/paper-regularized-qn-benchmark

b07ed54ca50af4bf2cf45952c103f3f80b62f5e2

[ "MIT" ]

1

2019-12-05T11:55:16.000Z

""" ... """ import numpy as np import matplotlib.pyplot as plt from utility import parameters from utility import perfprof algorithms = ['regLBFGS', 'armijoLBFGS', 'wolfeLBFGS'] # Read all the data in the ugliest fashion possible nfM = np.array([np.loadtxt(f"results/{a}_solve.csv", delimiter=',')[:, 0] for a in alg...

46.280702

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2,638

4.534005

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0.04

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0.5

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0.443333

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124

47.107143

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1

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0

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0

0.108108

0

null

0

null

0

1

0

04b93f24806cca8ae65455322559cca6b35b9e43

5,315

py

Python

src/train_eval.py

1amG4bor/mlflow-for-model-improvement

9ec653a8d20b353b1d049dd509cd1b680b6152b1

[ "MIT" ]

1

2021-11-27T23:05:36.000Z

src/train_eval.py

1amG4bor/mlflow-for-model-improvement

9ec653a8d20b353b1d049dd509cd1b680b6152b1

[ "MIT" ]

null

src/train_eval.py

1amG4bor/mlflow-for-model-improvement

9ec653a8d20b353b1d049dd509cd1b680b6152b1

[ "MIT" ]

null

"""Train and evaluate Tool The script utilizes the 2 main inputs which are the config.yml and the CLI params. With the combination of these configuration 2 running branches are possible: - Training workflow: - Load the dataset - Create a model with the provided configuration - Train then save the model ...

41.850394

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0.665663

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5,315

4.908696

0.284058

0.031887

0.012991

0.082079

0.065545

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0.003692

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119

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0.253246

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0.014085

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0.017917

0

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false

0

0.084507

0

0.140845

0

null

0

null

0

1

0

04b9c4193420eabe9013aae3e035a41bbd7078ad

5,959

py

Python

model_tools/brain_transformation/neural.py

franzigeiger/model-tools-1

124e1ee688161d1e671dad33c0ebefd001d78ef6

[ "MIT" ]

null

model_tools/brain_transformation/neural.py

franzigeiger/model-tools-1

124e1ee688161d1e671dad33c0ebefd001d78ef6

[ "MIT" ]

null

model_tools/brain_transformation/neural.py

franzigeiger/model-tools-1

124e1ee688161d1e671dad33c0ebefd001d78ef6

[ "MIT" ]

null

import logging from collections import Iterable from typing import Optional, Union from tqdm import tqdm from brainscore.metrics import Score from brainscore.model_interface import BrainModel from brainscore.utils import fullname from model_tools.activations.pca import LayerPCA from model_tools.brain_transformation i...

48.056452

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0.681322

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5,959

5.954128

0.235474

0.084746

0.039034

0.034669

0.248074

0.172573

0.130971

0.025167

0

0.003059

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5,959

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121

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0

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0.010417

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0.302083

0

null

0

null

0

1

0

04bab0fcc8f0c4e3268cebb2cb3c07963e8a3db4

920

py

Python

test/test_extension/test_analytics.py

maximest-pierre/WebCore

543bfb79c0737917d1bd2a148eb61761ab6f6319

[ "MIT" ]

56

2015-05-13T16:08:06.000Z

2021-12-26T22:24:46.000Z

test/test_extension/test_analytics.py

maximest-pierre/WebCore

543bfb79c0737917d1bd2a148eb61761ab6f6319

[ "MIT" ]

104

2015-01-20T23:55:28.000Z

2021-03-01T03:29:47.000Z

test/test_extension/test_analytics.py

maximest-pierre/WebCore

543bfb79c0737917d1bd2a148eb61761ab6f6319

[ "MIT" ]

12

2015-05-22T15:46:39.000Z

2021-09-16T00:38:54.000Z

# encoding: utf-8 import time import pytest from webob import Request from web.core import Application from web.core.context import Context from web.ext.analytics import AnalyticsExtension def endpoint(context): time.sleep(0.1) return "Hi." sample = Application(endpoint, extensions=[AnalyticsExtension()]) def...

20.909091

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920

5.463415

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0.03125

0.032738

0.139881

0

0.021066

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920

43

71

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0.811648

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0

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0

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0

0.148148

1

0.111111

false

0

0.296296

0

0.444444

0

null

0

null

0

1

0

04c05fe0493b6c15658cd872dfc53737c5f84819

737

py

Python

pymongolab/__init__.py

puentesarrin/pymongolab

159a46c6cf88313c11522503d9243e2e16d3d72c

[ "Apache-2.0" ]

2

2015-04-09T08:17:03.000Z

2016-05-17T23:42:36.000Z

pymongolab/__init__.py

puentesarrin/pymongolab

159a46c6cf88313c11522503d9243e2e16d3d72c

[ "Apache-2.0" ]

1

2015-02-12T17:25:17.000Z

2015-02-12T17:53:09.000Z

pymongolab/__init__.py

puentesarrin/pymongolab

159a46c6cf88313c11522503d9243e2e16d3d72c

[ "Apache-2.0" ]

null

# -*- coding: utf-8 *-* """PyMongo_-flavored package for accessing to MongoLab databases via `MongoLabClient`. .. _PyMongo: http://api.mongodb.org/python/current/""" ASCENDING = 1 """Ascending sort order.""" DESCENDING = -1 """Descending sort order.""" OFF = 0 """No database profiling.""" SLOW_ONLY = 1 """Only pro...

21.057143

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0.694708

92

737

5.423913

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0.104208

0.064128

0.112224

0

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737

34

74

21.676471

0.772152

0.215739

0

0.007059

0

1

0.076923

false

0

0.153846

0

0.384615

0

null

0

null

0

1

0

04c092098ea8bed63aafcff967ba75911ecb4e0e

2,065

py

Python

Week 03/exercise05.py

JessicaHamilton/PHYS-3210

997fb9fbc43852ed32badaca68bed39bef2a1b0b

[ "MIT" ]

null

Week 03/exercise05.py

JessicaHamilton/PHYS-3210

997fb9fbc43852ed32badaca68bed39bef2a1b0b

[ "MIT" ]

null

Week 03/exercise05.py

JessicaHamilton/PHYS-3210

997fb9fbc43852ed32badaca68bed39bef2a1b0b

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Sep 4 10:03:35 2019 @author: hamil """ import numpy as np import matplotlib.pyplot as plt def up_harmonic(value_n): H_up = 0.0 summ_array1 = [] new_x = value_n + 1 x_array1 = np.arange(1,new_x) for each_value in x_array1: numm1 = 1/each_value ...

27.905405

112

0.684746

355

2,065

3.794366

0.295775

0.022272

0.020045

0.022272

0.059391

0.017817

0

0.039604

0.217433

2,065

74

113

27.905405

0.793936

0.426634

0

0.051282

0

0.02584

0

1

0.051282

false

0

0.051282

0

0.153846

0.051282

0

null

0

null

0

1

0

04c0b65e42c25329491e1c4286e88a08b669efe7

2,458

py

Python

src/cliptools/modules/data_loader.py

bigbirdcode/cliptools

992ddf2088462477992734af8eb00453bde3ce85

[ "MIT" ]

null

src/cliptools/modules/data_loader.py

bigbirdcode/cliptools

992ddf2088462477992734af8eb00453bde3ce85

[ "MIT" ]

6

2019-04-02T18:25:35.000Z

2019-08-21T20:24:16.000Z

src/cliptools/modules/data_loader.py

bigbirdcode/cliptools

992ddf2088462477992734af8eb00453bde3ce85

[ "MIT" ]

null

"""ClipTools clipboard manager and text processing tools with a lines based GUI interface Data loader, search for available personal data. WARNING, python file will be executed! When making python personal file, take care not allow uncontrolled changes! yaml is safer from this point of view. Note: logging is not par...

33.671233

85

0.702197

353

2,458

4.76204

0.365439

0.070791

0.039262

0.02677

0.350982

0.234384

0.143962

0.083284

0

0.001031

0.21074

2,458

72

86

34.138889

0.865464

0.485761

0

0.117647

0

0.064946

0

1

0.147059

false

0

0.117647

0

0.5

0.029412

0

null

0

null

0

1

0

04c1820dcc2e20cd468a64c1d6ca1319a04e2cf5

25,660

py

Python

sysevr/slicer/access_db_operate.py

Saleh-Ibtasham/VulScrape

738d17e9dd7e5edc2341d106361651fd28f99c61

[ "PostgreSQL", "Unlicense", "MIT" ]

1

2021-04-12T12:59:33.000Z

sysevr/slicer/access_db_operate.py

Jokers-grin/VulScrape

738d17e9dd7e5edc2341d106361651fd28f99c61

[ "PostgreSQL", "Unlicense", "MIT" ]

null

sysevr/slicer/access_db_operate.py

Jokers-grin/VulScrape

738d17e9dd7e5edc2341d106361651fd28f99c61

[ "PostgreSQL", "Unlicense", "MIT" ]

null

## -*- coding: utf-8 -*- from joern.all import JoernSteps from igraph import * from .general_op import * import pickle from py2neo.packages.httpstream import http http.socket_timeout = 9999 def get_all_use_bydefnode(db, node_id): query_str = "g.v(%d).in('USE')" % node_id results = db.runGremlinQuery(query_str)...

35.49101

253

0.539517

2,891

25,660

4.554825

0.080249

0.054222

0.050122

0.010024

0.576018

0.484204

0.436437

0.396264

0.327764

0.308779

0

0.006687

0.341465

25,660

722

254

35.540166

0.772577

0.039712

0

0.467308

0

0.001923

0.088296

0.037603

0.003846

0

1

0.069231

false

0

0.009615

0

0.175

0.023077

0

null

0

null

0

1

0

04c30ca6dae699405806c7919712bb4e2c2022d3

3,818

py

Python

consolidate_json.py

squirrel2038/archive-archdruid-report

cd121a2466887999062e4e674998af971cd416e2

[ "MIT" ]

1

2022-01-30T11:01:11.000Z

consolidate_json.py

squirrel2038/thearchdruidreport-archive

cd121a2466887999062e4e674998af971cd416e2

[ "MIT" ]

null

consolidate_json.py

squirrel2038/thearchdruidreport-archive

cd121a2466887999062e4e674998af971cd416e2

[ "MIT" ]

null

#!/usr/bin/env python3 # # Consolidate all the raw Blogger JSON files into a single, simplified JSON file. # from collections import OrderedDict import html import io import json import sys import lxml.etree as ET import lxml.html import re import feeds import util posts = feeds.json_post_entries_list() output = []...

38.959184

124

0.585385

475

3,818

4.635789

0.330526

0.031789

0.014532

0.009991

0.156222

0.13079

0.118074

0

0.035141

0.217391

3,818

97

125

39.360825

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0

0.045455

0

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0

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1

0

false

0

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0.151515

0

null

0

null

0

1

0

04ca253f5e82296a1e2958dc72286f826aff2f7b

2,619

py

Python

preprocess.py

wonderlr/news_aggregator

123a6b912988013fd83080393ff978ff85a76dc0

[ "MIT" ]

null

preprocess.py

wonderlr/news_aggregator

123a6b912988013fd83080393ff978ff85a76dc0

[ "MIT" ]

null

preprocess.py

wonderlr/news_aggregator

123a6b912988013fd83080393ff978ff85a76dc0

[ "MIT" ]

null

#! /usr/bin/python3 import nltk import pdb import pickle import pandas as pd import numpy as np import json stemmer = nltk.stem.porter.PorterStemmer() stop_words = set(nltk.corpus.stopwords.words('english')) def is_alphanumeric(character): to_ord = ord(character) is_alpha = (to_ord >= ord('A') and to_ord <= o...

28.78022

105

0.644139

365

2,619

4.443836

0.369863

0.021578

0.034525

0.020345

0.078915

0.055487

0.025894

0

0.008538

0.239786

2,619

90

106

29.1

0.806128

0.138221

0

0.085714

0

0.040943

0

1

0.114286

false

0

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0

0.271429

0.014286

0

null

0

null

0

1

0

04cad953622a83f0e9965ec0a898a7a9f104aa3c

22,312

py

Python

test/intelliflow/core/application/test_aws_application_execution_hooks.py

amzn/rheoceros

5e8f79d97f8b21d693d3c869b0df70de3d5fd068

[ "Apache-2.0", "MIT-0" ]

4

2022-03-24T04:39:02.000Z

2022-03-31T16:41:50.000Z

test/intelliflow/core/application/test_aws_application_execution_hooks.py

amzn/rheoceros

5e8f79d97f8b21d693d3c869b0df70de3d5fd068

[ "Apache-2.0", "MIT-0" ]

null

test/intelliflow/core/application/test_aws_application_execution_hooks.py

amzn/rheoceros

5e8f79d97f8b21d693d3c869b0df70de3d5fd068

[ "Apache-2.0", "MIT-0" ]

null

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 import threading import time from typing import Callable import pytest from mock import MagicMock import intelliflow.api_ext as flow from intelliflow.api_ext import * from intelliflow.core.application.applicati...

47.777302

141

0.701327

2,572

22,312

5.794323

0.153966

0.023552

0.02268

0.022948

0.642153

0.585721

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0.529826

0.504462

0.466282

0

0.007371

0.22777

22,312

466

142

47.879828

0.857574

0.158973

0

0.443425

0

0.068335

0.030585

0

0.143731

1

0.06422

false

0

0.061162

0.018349

0.174312

0

null

0

null

0

1

0

04cb89b6281e761d43339b9fbbae2aa13203f250

6,988

py

Python

Plot/4.13.His_Plot_Global.py

hliu119/Phenological-Dynamics-revealed-by-SIF

2584d09837ea37387dc4d5ad39fcaba0ed714e94

[ "Apache-2.0" ]

null

Plot/4.13.His_Plot_Global.py

hliu119/Phenological-Dynamics-revealed-by-SIF

2584d09837ea37387dc4d5ad39fcaba0ed714e94

[ "Apache-2.0" ]

null

Plot/4.13.His_Plot_Global.py

hliu119/Phenological-Dynamics-revealed-by-SIF

2584d09837ea37387dc4d5ad39fcaba0ed714e94

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Dec 26 14:58:57 2019 @author: Administrator MCD12 LandCover Types： DBF == 4：DBF,5：MF EBF == 2：EBF NF == 1：ENF,3：DNF CRO == 12: CRO, 14: CRO&NV GRA == 10: GRA SHR == 6：CSH, 7：OSH SAV == 8：WSA, 9：SAV """ import numpy as np import matplotlib.pyplot as plt imp...

48.867133

306

0.598598

1,021

6,988

3.905975

0.25857

0.024072

0.019308

0.033099

0.31996

0.251003

0.232698

0.21013

0.185055

0.154714

0

0.038547

0.224098

6,988

143

307

48.867133

0.696975

0.054665

0

0.028302

0.180985

0.10473

0

1

0

false

0

0.056604

0

0.056604

0

null

0

null

0

1

0

04cbe616581fc2cfbc97890b4ef12ba243847e7e

6,260

py

Python

CountryReconciler/reconciler/country_normalizer.py

weso/landportal-importers

6edfa3c301422bbe8c09cb877b1cbddbcd902463

[ "Unlicense" ]

null

CountryReconciler/reconciler/country_normalizer.py

weso/landportal-importers

6edfa3c301422bbe8c09cb877b1cbddbcd902463

[ "Unlicense" ]

8

2016-02-16T13:05:37.000Z

2017-01-04T14:38:03.000Z

CountryReconciler/reconciler/country_normalizer.py

landportal/landbook-importers

f0e246f493329b9c5741c50f3a0495d27ee5c54b

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on 10/02/2014 @author: Dani """ import re import codecs from reconciler.entities.normalized_country import NormalizedCountry from reconciler.exceptions.unknown_country_error import UnknownCountryError class CountryNormalizer(object): """ In this class we'll implement th...

39.872611

116

0.62476

728

6,260

5.14011

0.315934

0.054516

0.035275

0.059861

0.299572

0.138963

0.113843

0.062533

0

0.005717

0.273482

6,260

156

117

40.128205

0.815963

0.235623

0

0.183908

0

0.080314

0.046408

0

1

0.114943

false

0

0.045977

0.034483

0.436782

0

null

0

null

0

1

0

04cc4c2755a30d4af02b82ac645949400c8f8805

1,573

py

Python

tests/affine_test.py

martin-luecke/xdsl

b96d19d97a5282823e7735da06764fa57a781429

[ "Apache-2.0" ]

null

tests/affine_test.py

martin-luecke/xdsl

b96d19d97a5282823e7735da06764fa57a781429

[ "Apache-2.0" ]

null

tests/affine_test.py

martin-luecke/xdsl

b96d19d97a5282823e7735da06764fa57a781429

[ "Apache-2.0" ]

null

from xdsl.dialects.builtin import * from xdsl.dialects.std import * from xdsl.dialects.arith import * from xdsl.printer import Printer from xdsl.dialects.affine import * def get_example_affine_program(ctx: MLContext, builtin: Builtin, std: Std, affine: Affine) -> Operation: def aff...

31.46

78

0.530833

187

1,573

4.336898

0.294118

0.049322

0.078915

0.073983

0.192355

0.096178

0

0.035922

0.3452

1,573

49

79

32.102041

0.751456

0.016529

0

0.051282

0

0.012306

0

1

0.076923

false

0

0.128205

0.025641

0.25641

0.076923

0

null

0

null

0

1

0

04cd48f165a97bf20274ed413e6996f8b236819c

1,632

py

Python

setup.py

remifan/commplax

e8ee5bc86ab0dfd90773202579237ecf42488cd0

[ "Apache-2.0" ]

20

2021-03-09T08:33:51.000Z

2021-11-29T05:04:55.000Z

setup.py

remifan/commplax

e8ee5bc86ab0dfd90773202579237ecf42488cd0

[ "Apache-2.0" ]

null

setup.py

remifan/commplax

e8ee5bc86ab0dfd90773202579237ecf42488cd0

[ "Apache-2.0" ]

6

2021-03-09T08:34:01.000Z

2021-12-03T15:14:42.000Z

# Copyright 2021 The Commplax Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...

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null

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04d0c052c025367c548447ff41b0b30285e71781

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py

Python

src/MetaSeg/functions/meta_nn.py

RonMcKay/Detection-and-Retrieval-of-OOD-Objects

561dc4362226f67b5a85d94843ee439d67fad4ab

[ "MIT" ]

null

src/MetaSeg/functions/meta_nn.py

RonMcKay/Detection-and-Retrieval-of-OOD-Objects

561dc4362226f67b5a85d94843ee439d67fad4ab

[ "MIT" ]

null

src/MetaSeg/functions/meta_nn.py

RonMcKay/Detection-and-Retrieval-of-OOD-Objects

561dc4362226f67b5a85d94843ee439d67fad4ab

[ "MIT" ]

null

import torch import torch.nn as nn from torch.utils.data import Dataset class MetricDataset(Dataset): def __init__(self, data): super(MetricDataset, self).__init__() self.data = data[0].squeeze() self.targets = data[1].squeeze() def __getitem__(self, index): return ( ...

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04d9a64e16d05c00923b86847acd17f241da5519

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py

Python

python/experiments/lnpdfs/StopAndFrisk/frisk.py

DrawZeroPoint/VIPS

730f4e18c24afa6f561b13d1fe8af53ae89990a7

[ "MIT" ]

12

2018-07-11T14:35:51.000Z

2020-12-07T03:54:28.000Z

python/experiments/lnpdfs/StopAndFrisk/frisk.py

ykwon0407/VIPS

91d940304b34d702c1a8b12363b5fff38455ef88

[ "MIT" ]

null

python/experiments/lnpdfs/StopAndFrisk/frisk.py

ykwon0407/VIPS

91d940304b34d702c1a8b12363b5fff38455ef88

[ "MIT" ]

10

2018-07-11T14:36:00.000Z

2022-01-14T21:41:41.000Z

""" Implementation of the hierarchical poisson glm model, with a precinct-specific term, an ethnicity specific term, and an offset term. The data are tuples of (ethnicity, precinct, num_stops, total_arrests), where the count variables num_stops and total_arrests refer to the number of stops and total arrests of an eth...

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null

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null

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0

04dc2b56346a0029e3867882b541bc4c488cd002

12,578

py

Python

script.module.saltsrd.shared/lib/kodi.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

1

2019-03-05T09:37:15.000Z

script.module.saltsrd.shared/lib/kodi.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

null

script.module.saltsrd.shared/lib/kodi.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

1

2021-11-05T20:48:09.000Z

""" Salts RD Lite shared module Copyright (C) 2016 creits -2- tknorris This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any...

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null

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04dc6f790341edc14815fce9aa1146cef3491bdc

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py

Python

data/aicharacter.py

kennethsinder/exit-dash-hyperion

d44ea77ef5e8a6ce9490e3f802636da5b44e6e74

[ "MIT" ]

2

2018-01-29T14:34:51.000Z

2020-10-20T23:30:26.000Z

data/aicharacter.py

kennethsinder/exit-dash-hyperion

d44ea77ef5e8a6ce9490e3f802636da5b44e6e74

[ "MIT" ]

null

data/aicharacter.py

kennethsinder/exit-dash-hyperion

d44ea77ef5e8a6ce9490e3f802636da5b44e6e74

[ "MIT" ]

null

# coding=utf-8 from random import randint import pygame, math from character import * class AICharacter(Character): def __init__(self, x, y, Vx, Vy, properties=('slime', -1, -1)): # Properties should be a tuple of the form (STRING mobName, INT leftLimit, # INT rightLimit) where leftLimit ...

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null

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null

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04e078577ead750421a7020ed8aeebb5726ef2c5

2,181

py

Python

HotPotato/hot_potato.py

caternuson/CircuitPython-Demos

cffb226750614caed5368d7ca31c06be321f54d8

[ "MIT" ]

null

HotPotato/hot_potato.py

caternuson/CircuitPython-Demos

cffb226750614caed5368d7ca31c06be321f54d8

[ "MIT" ]

null

HotPotato/hot_potato.py

caternuson/CircuitPython-Demos

cffb226750614caed5368d7ca31c06be321f54d8

[ "MIT" ]

null

# Circuit Playground Express Hot Potato # # Author: Carter Nelson # MIT License (https://opensource.org/licenses/MIT) import time import random import math import board from analogio import AnalogIn from adafruit_circuitplayground.express import cpx # This brings in the song to play import melody number_of_notes = len...

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null

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null

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1

0

04e0b45d4a2c91bb016d8c40ce99ce0942e046b2

7,728

py

Python

evaluator/design_table.py

vita-epfl/Trajectory-Transformer

922e17741c532678fd34b041257395acfaecec04

[ "MIT" ]

null

evaluator/design_table.py

vita-epfl/Trajectory-Transformer

922e17741c532678fd34b041257395acfaecec04

[ "MIT" ]

null

evaluator/design_table.py

vita-epfl/Trajectory-Transformer

922e17741c532678fd34b041257395acfaecec04

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt from matplotlib.font_manager import FontProperties from collections import OrderedDict import pandas as pd from evaluator.evaluator_helpers import Categories, Sub_categories, Metrics class Table(object): """docstring for Table""" def __init__(self, arg=None)...

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null

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null

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1

0

04e1d79de3ac3f1998a9096e9d35c2880a417cdc

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py

Python

bench/sample.py

MustardForBreakfast/safetywrap

170f836e12df455aed9b6dce5e7c634f6b9e8f87

[ "Apache-2.0" ]

21

2019-10-31T17:43:18.000Z

2022-03-19T13:46:05.000Z

bench/sample.py

MustardForBreakfast/safetywrap

170f836e12df455aed9b6dce5e7c634f6b9e8f87

[ "Apache-2.0" ]

null

bench/sample.py

MustardForBreakfast/safetywrap

170f836e12df455aed9b6dce5e7c634f6b9e8f87

[ "Apache-2.0" ]

3

2019-11-01T17:50:07.000Z

2021-12-15T07:23:21.000Z

"""A benchmark to be run externally. Executes a program that might make heavy use of Result/Option types in one of two ways: classically, with exceptions, or using result types. The program checks several data stores (in memory to minimize interference from slow IO &c.) in order for a key. If it finds it, it gets the...

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0

null

0

null

0

1

0

04e23249464eb1af09688cb5261f0910c0a92916

1,775

py

Python

schemato/validationresult.py

emmett9001/schema.to

cfb5eb128faee391e1ac5c69093776b2d2cfd6b6

[ "Apache-2.0" ]

38

2015-01-16T11:28:12.000Z

2017-10-26T07:24:32.000Z

schemato/validationresult.py

emmett9001/schema.to

cfb5eb128faee391e1ac5c69093776b2d2cfd6b6

[ "Apache-2.0" ]

11

2015-03-20T13:54:49.000Z

2016-10-05T18:38:38.000Z

schemato/validationresult.py

emmett9001/schema.to

cfb5eb128faee391e1ac5c69093776b2d2cfd6b6

[ "Apache-2.0" ]

5

2015-02-17T18:08:35.000Z

2021-12-02T12:33:07.000Z

import json class ValidationResult(object): ERROR = 1 WARNING = 2 def __init__(self, namespace, classname): super(ValidationResult, self).__init__() self.warnings = [] self.errors = [] self.namespace = namespace self.classname = classname def add_error(self, w...

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null

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null

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0

04e2eacd84c84c864a83a13c251d959ab593d0a5

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py

Python

robosuite/scripts/playback_demonstrations_from_hdf5.py

gsp-27/robosuite

642065ebba4ea0c2c1f3ae6e96a8f14262146019

[ "MIT" ]

1

2021-12-22T13:10:46.000Z

robosuite/scripts/playback_demonstrations_from_hdf5.py

gsp-27/robosuite

642065ebba4ea0c2c1f3ae6e96a8f14262146019

[ "MIT" ]

null

robosuite/scripts/playback_demonstrations_from_hdf5.py

gsp-27/robosuite

642065ebba4ea0c2c1f3ae6e96a8f14262146019

[ "MIT" ]

1

2020-12-29T01:38:01.000Z

""" A convenience script to playback random demonstrations from a set of demonstrations stored in a hdf5 file. Example: $ python playback_demonstrations_from_hdf5.py --folder ../models/assets/demonstrations/SawyerPickPlace/ """ import os import h5py import argparse import random import numpy as np import robosuit...

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null

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null

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04e8053cd909a8f30dd024e9c4b9845248ff59fe

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py

Python

awacs/xray.py

mprince/awacs

f6a16af326ac7fd11e2e2be3a48180475f150611

[ "BSD-2-Clause" ]

null

awacs/xray.py

mprince/awacs

f6a16af326ac7fd11e2e2be3a48180475f150611

[ "BSD-2-Clause" ]

null

awacs/xray.py

mprince/awacs

f6a16af326ac7fd11e2e2be3a48180475f150611

[ "BSD-2-Clause" ]

1

2020-04-03T06:37:42.000Z

# Copyright (c) 2012-2013, Mark Peek <mark@peek.org> # All rights reserved. # # See LICENSE file for full license. from aws import Action as BaseAction from aws import BaseARN service_name = 'AWS XRay' prefix = 'xray' class Action(BaseAction): def __init__(self, action=None): sup = super(Action, self) ...

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04eacbed2960320b74f280d23dd6e09fb5dbbb17

6,839

py

Python

cmake/CMakeBuild/bin/pyhhi/cmbuild/bjambld.py

myfan/VTM-1.1_sKLT

adf549a14e630167fe22f9b8c73a307174160d7c

[ "BSD-3-Clause" ]

null

cmake/CMakeBuild/bin/pyhhi/cmbuild/bjambld.py

myfan/VTM-1.1_sKLT

adf549a14e630167fe22f9b8c73a307174160d7c

[ "BSD-3-Clause" ]

null

cmake/CMakeBuild/bin/pyhhi/cmbuild/bjambld.py

myfan/VTM-1.1_sKLT

adf549a14e630167fe22f9b8c73a307174160d7c

[ "BSD-3-Clause" ]

null

from __future__ import print_function import os import shutil import subprocess import logging import pyhhi.build.common.ver as ver import pyhhi.build.common.bldtools as bldtools from pyhhi.build.common.system import SystemInfo class BjamBuilder(object): """The BjamBuilder class supports building a new bjam exe...

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null

0

null

0

1

0

04ebbba0f5550d29b2188709fea832733cf15cb6

2,773

py

Python

Exercise 2-3.py

Falli0o/linear_regression

b21a682bae9e4a3d5aa8aa6223233aa6dea8749c

[ "Apache-2.0" ]

null

Exercise 2-3.py

Falli0o/linear_regression

b21a682bae9e4a3d5aa8aa6223233aa6dea8749c

[ "Apache-2.0" ]

null

Exercise 2-3.py

Falli0o/linear_regression

b21a682bae9e4a3d5aa8aa6223233aa6dea8749c

[ "Apache-2.0" ]

null

# coding: utf-8 # In[ ]: from __future__ import division get_ipython().magic(u'matplotlib inline') import numpy as np import matplotlib.pyplot as plt import math import multivarlinreg import rmse # In[ ]: #Linear regression red_train = np.loadtxt('redwine_training.txt') red_test = np.loadtxt('redwine_testing.tx...

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04ee4a305162e4e3bdcb164213ede6ebc3c2c03c

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py

Python

Sketches/JL/IRC/Translator.py

sparkslabs/kamaelia_orig

24b5f855a63421a1f7c6c7a35a7f4629ed955316

[ "Apache-2.0" ]

12

2015-10-20T10:22:01.000Z

2021-07-19T10:09:44.000Z

Sketches/JL/IRC/Translator.py

sparkslabs/kamaelia_orig

24b5f855a63421a1f7c6c7a35a7f4629ed955316

[ "Apache-2.0" ]

2

2015-10-20T10:22:55.000Z

2017-02-13T11:05:25.000Z

Sketches/JL/IRC/Translator.py

sparkslabs/kamaelia_orig

24b5f855a63421a1f7c6c7a35a7f4629ed955316

[ "Apache-2.0" ]

6

2015-03-09T12:51:59.000Z

2020-03-01T13:06:21.000Z

# -*- coding: utf-8 -*- # Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1) # # (1) Kamaelia Contributors are listed in the AUTHORS file and at # http://www.kamaelia.org/AUTHORS - please extend this file, # not this notice. # # Licensed under the Apache License, Version 2.0 (the "Lice...

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null

0

null

0

1

0

04efafcb6db1afd7a3030ec016d52f31b51e110e

11,926

py

Python

ClientSide2.py

MatthewGong/DiffractionClassification

68be6cf3960f09388253c79bab13cbd9dc07edbb

[ "MIT" ]

7

2019-08-14T18:14:06.000Z

2021-01-14T01:43:50.000Z

ClientSide2.py

MatthewGong/DiffractionClassification

68be6cf3960f09388253c79bab13cbd9dc07edbb

[ "MIT" ]

null

ClientSide2.py

MatthewGong/DiffractionClassification

68be6cf3960f09388253c79bab13cbd9dc07edbb

[ "MIT" ]

2

2019-11-06T20:19:23.000Z

2020-08-04T21:06:36.000Z

from __future__ import print_function from __future__ import division from Notation import SpaceGroupsDict as spgs SpGr = spgs.spacegroups() notation_dictionary = spgs.spacegroups() import PeakFinding2 as pfnd #custom library to handle the functions behind Find_Peaks import UniversalLoader2 as uvll #custom library ...

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py

Python

examples/application_commands/choices.py

freepizzas-dev/nextcord

58dd18d4d60d50a0462e87b2400db980e73da72c

[ "MIT" ]

null

examples/application_commands/choices.py

freepizzas-dev/nextcord

58dd18d4d60d50a0462e87b2400db980e73da72c

[ "MIT" ]

null

examples/application_commands/choices.py

freepizzas-dev/nextcord

58dd18d4d60d50a0462e87b2400db980e73da72c

[ "MIT" ]

null

import nextcord from nextcord import SlashOption from nextcord.interactions import Interaction client = nextcord.Client() @client.slash_command(guild_ids=[...]) # Limits the guildes async def choose_a_number( interaction: Interaction, number: str = SlashOption( name="picker", description="Th...

27.655172

99

0.699501

101

802

5.475248

0.475248

0.0434

0.065099

0.083183

0.256781

0.126582

0

0.009023

0.170823

802

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100

28.642857

0.822556

0.067332

0

0.285714

0

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0

0.142857

0

null

0

null

0

1

0

04f24dbabf997234bb3f9394b5d4778cde915e92

729

py

Python

debug/testUSB.py

sgoadhouse/dcps-visa

3021168bb15bb66fdd74d2a235d4dc3e0e3a4733

[ "MIT" ]

2

2019-10-30T08:23:14.000Z

2021-09-15T14:20:53.000Z

debug/testUSB.py

sgoadhouse/dcps-visa

3021168bb15bb66fdd74d2a235d4dc3e0e3a4733

[ "MIT" ]

null

debug/testUSB.py

sgoadhouse/dcps-visa

3021168bb15bb66fdd74d2a235d4dc3e0e3a4733

[ "MIT" ]

6

2019-10-11T18:52:40.000Z

2022-03-28T10:14:38.000Z

import usb.core import usb.util import sys # got these using the command lsusb -vv VENDOR_ID = 0x1AB1 PRODUCT_ID = 0x0E11 DATA_SIZE = 1 device = usb.core.find(idVendor=VENDOR_ID, idProduct=PRODUCT_ID) #@@@#print(device.is_kernel_driver_active(0)) # was it found? if device is None: raise ValueError('USB Device ...

22.78125

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0.728395

109

729

4.770642

0.633028

0.040385

0

0.036244

0.167353

729

31

65

23.516129

0.820428

0.30727

0

0.109091

0

0.024242

0

1

0

false

0

0.1875

0

0.1875

0

null

0

null

0

1

0

04f30aaa86b0d421b2d40dfdaa3750bdc67bcc4e

809

py

Python

test_ruge_stuben_solver.py

CoderMoray/AMG-for-finity-element

1f4194eb3d1b8b6007733cb1122bdab7d67424bc

[ "MIT" ]

null

test_ruge_stuben_solver.py

CoderMoray/AMG-for-finity-element

1f4194eb3d1b8b6007733cb1122bdab7d67424bc

[ "MIT" ]

null

test_ruge_stuben_solver.py

CoderMoray/AMG-for-finity-element

1f4194eb3d1b8b6007733cb1122bdab7d67424bc

[ "MIT" ]

null

import pyamg import numpy as np import time from prettytable import PrettyTable A = pyamg.gallery.poisson((500,500), format='csr') # 2D Poisson problem on 500x500 grid # print('A : ', A ) ml = pyamg.ruge_stuben_solver(A) b = np.random.rand(A.shape[0]) # pick a random right hand side # t0= ...

28.892857

88

0.608158

131

809

3.70229

0.519084

0.041237

0.037113

0.057732

0

0.055016

0.236094

809

28

89

28.892857

0.729773

0.202719

0

0.050235

0

1

0

false

0

0.190476

0

0.190476

0.047619

0

null

0

null

0

1

0

04f33c7544bbc8ed87639ae554a4185b880e29cc

7,467

py

Python

app/telegram_handler.py

badgateway666/Telegram2MQTT

387709bae98e99f1c5a83a27981ebd2172ad356b

[ "MIT" ]

1

2020-05-22T17:00:27.000Z

app/telegram_handler.py

badgateway666/Telegram2MQTT

387709bae98e99f1c5a83a27981ebd2172ad356b

[ "MIT" ]

null

app/telegram_handler.py

badgateway666/Telegram2MQTT

387709bae98e99f1c5a83a27981ebd2172ad356b

[ "MIT" ]

null

import logging import re from queue import SimpleQueue from telegram.bot import Bot as Telegram_Bot from telegram.ext import Updater, CommandHandler, Filters class TelegramHandler(object): def __init__(self, bot_token, allowed_telegram_user_ids): self.logger = logging.getLogger("telegram2mqtt.bot") ...

38.096939

109

0.583367

876

7,467

4.826484

0.206621

0.028382

0.034059

0.042573

0.456244

0.397824

0.342952

0.331835

0.306055

0

0.00331

0.312174

7,467

195

110

38.292308

0.819899

0.124146

0

0.244898

0

0.202202

0.003256

0

0.005128

0

1

0.047619

false

0

0.034014

0

0.122449

0

null

0

null

0

1

0

04f40581777dd72ef62292b53638cb5d976a365c

1,574

py

Python

forcefield_utilities/utils.py

mosdef-hub/forcefield-utilities

6424f9c8c2935399171ee7056a0d6b408cabda81

[ "MIT" ]

1

2022-03-15T15:14:02.000Z

forcefield_utilities/utils.py

mosdef-hub/forcefield-utilities

6424f9c8c2935399171ee7056a0d6b408cabda81

[ "MIT" ]

5

2021-11-12T01:35:55.000Z

2022-03-23T15:45:29.000Z

forcefield_utilities/utils.py

mosdef-hub/forcefield-utilities

6424f9c8c2935399171ee7056a0d6b408cabda81

[ "MIT" ]

2

2022-03-15T15:14:06.000Z

2022-03-23T00:11:24.000Z

import functools import warnings def call_on_import(func): """Declare a decorator that will run `func` when imported.""" func() def get_package_file_path(from_package, relative_path): """Use source of a python package to locate and cache the address of a file.""" from pkg_resources import resource_f...

29.698113

87

0.656925

192

1,574

5.182292

0.411458

0.096482

0.066332

0.046231

0.293467

0.180905

0

0.001735

0.267471

1,574

52

88

30.269231

0.861232

0.081957

0

0.105263

0

0.199442

0

1

0.157895

false

0

0.105263

0

0.368421

0

null

0

null

0

1

0

04f45b90500ae631520f30af9f99758d2ff28520

889

py

Python

decbin.py

faisalkhan91/Dec2Bin

623f1640aa6a4b619d95fad9df869c4901cd4c96

[ "MIT" ]

null

decbin.py

faisalkhan91/Dec2Bin

623f1640aa6a4b619d95fad9df869c4901cd4c96

[ "MIT" ]

null

decbin.py

faisalkhan91/Dec2Bin

623f1640aa6a4b619d95fad9df869c4901cd4c96

[ "MIT" ]

null

#!/usr/local/bin/python3 decimal = input("Please enter a real number: ") index = 0 while index < len(decimal) and decimal[index] != ".": index += 1 if index == 10: intpart = decimal[:] fracpart = "" else : intpart = decimal[:index] fracpart = decimal[index+1:] # print("int len = ", len(intpart), "int part = "...

18.914894

115

0.590551

112

889

4.6875

0.294643

0.068571

0

0.033626

0.230596

889

46

116

19.326087

0.733918

0.154106

0

0.151515

0

0.069333

0

1

0

false

0

0.030303

0

null

0

null

0

1

0

04f5f1b977e5486329255efbf34e12d42bdcf0a3

2,716

py

Python

src/installer/src/tortuga/db/nicsDbHandler.py

sutasu/tortuga

48d7cde4fa652346600b217043b4a734fa2ba455

[ "Apache-2.0" ]

33

2018-03-02T17:07:39.000Z

2021-05-21T18:02:51.000Z

src/installer/src/tortuga/db/nicsDbHandler.py

sutasu/tortuga

48d7cde4fa652346600b217043b4a734fa2ba455

[ "Apache-2.0" ]

201

2018-03-05T14:28:24.000Z

2020-11-23T19:58:27.000Z

src/installer/src/tortuga/db/nicsDbHandler.py

sutasu/tortuga

48d7cde4fa652346600b217043b4a734fa2ba455

[ "Apache-2.0" ]

23

2018-03-02T17:21:59.000Z

2020-11-18T14:52:38.000Z

# Copyright 2008-2018 Univa Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...

28.893617

74

0.626657

297

2,716

5.673401

0.474747

0.035608

0.026706

0.018991

0.052819

0

0.006094

0.275037

2,716

93

75

29.204301

0.84967

0.279087

0

0.095238

0

0.084819

0

1

0.095238

false

0.02381

0.142857

0

0.333333

0

null

0

null

0

1

0

04fa50f216dce4da7cb555026a335c1664fdf05b

516

py

Python

topCoder/srms/300s/srm378/div2/two_rotation_cypher.py

gauravsingh58/algo

397859a53429e7a585e5f6964ad24146c6261326

[ "WTFPL" ]

1

2020-09-30T19:53:08.000Z

topCoder/srms/300s/srm378/div2/two_rotation_cypher.py

gauravsingh58/algo

397859a53429e7a585e5f6964ad24146c6261326

[ "WTFPL" ]

null

topCoder/srms/300s/srm378/div2/two_rotation_cypher.py

gauravsingh58/algo

397859a53429e7a585e5f6964ad24146c6261326

[ "WTFPL" ]

1

2020-10-15T09:10:57.000Z

from string import ascii_lowercase class TwoRotationCypher: def encrypt(self, firstSize, firstRotate, secondRotate, message): f, s, r = ascii_lowercase[:firstSize], ascii_lowercase[firstSize:], '' for e in message: if e == ' ': r += e elif e in f: ...

36.857143

88

0.52907

63

516

4.285714

0.444444

0.155556

0.17037

0.059259

0

0.017291

0.327519

516

13

89

39.692308

0.760807

0

0.001938

0

1

0.083333

false

0

0.083333

0

0.333333

0

null

0

null

0

1

0

04faa5333b2d83edb78730a93736b95eddd63ea2

5,675

py

Python

src/CoRe.py

SkBlaz/core

2833191021ddf7113d375daeb9e9740faa068957

[ "BSD-3-Clause" ]

null

src/CoRe.py

SkBlaz/core

2833191021ddf7113d375daeb9e9740faa068957

[ "BSD-3-Clause" ]

null

src/CoRe.py

SkBlaz/core

2833191021ddf7113d375daeb9e9740faa068957

[ "BSD-3-Clause" ]

null

import numpy as np from class_neural import GenericAutoencoder from class_clustering_reduction import ReductionCluster from class_subspace_reduction import ReductionSubspace try: import umap except Exception as es: print(f"UMAP unavailable. {es}") from sklearn.decomposition import TruncatedSVD from sklearn.man...

32.994186

84

0.622379

584

5,675

5.847603

0.234589

0.084334

0.083748

0.084334

0.332943

0.194729

0.175988

0.108053

0

0.003002

0.295507

5,675

171

85

33.187135

0.851176

0.014978

0

0.178295

0

0.058855

0

1

0.046512

false

0

0.069767

0

0.155039

0.015504

0

null

0

null

0

1

0

04fccb1478ce692e14caa6ca3962aae84ed836d8

1,771

py

Python

p314_Binary_Tree_Vertical_Order_Traversal.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

p314_Binary_Tree_Vertical_Order_Traversal.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

p314_Binary_Tree_Vertical_Order_Traversal.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

''' - Leetcode problem: 314 - Difficulty: Medium - Brief problem description: Given a binary tree, return the vertical order traversal of its nodes' values. (ie, from top to bottom, column by column). If two nodes are in the same row and column, the order should be from left to right. Examples 1: Input: [3,9,20,n...

15.8125

122

0.512705

244

1,771

3.704918

0.393443

0.013274

0.017699

0.042035

0.026549

0

0.07088

0.338792

1,771

111

123

15.954955

0.70111

0.57764

0

1

0.052632

false

0

0.052632

0

0.210526

0

null

0

null

0

1

0

04feec89ef011be3222eac2c8a548d3c3d472132

2,548

py

Python

tests/pterradactyl/commands/test_lookup.py

GiampaoloFalqui/pterradactyl

3d34f8088784c53e3d0871d8ca81f2381f2c2be9

[ "Apache-2.0" ]

2

2022-03-31T09:02:49.000Z

2022-03-31T18:56:52.000Z

tests/pterradactyl/commands/test_lookup.py

GiampaoloFalqui/pterradactyl

3d34f8088784c53e3d0871d8ca81f2381f2c2be9

[ "Apache-2.0" ]

4

2021-12-20T18:31:47.000Z

2022-03-14T16:31:49.000Z

tests/pterradactyl/commands/test_lookup.py

GiampaoloFalqui/pterradactyl

3d34f8088784c53e3d0871d8ca81f2381f2c2be9

[ "Apache-2.0" ]

null

import unittest from pterradactyl.commands.lookup import LookupCommand from mock import patch import os import argparse import pytest class TestLookupCommands(unittest.TestCase): def setUp(self) -> None: self.base_path = os.path.dirname(os.path.abspath(__file__)) self.config = os.path.join(os.get...

49

145

0.637363

310

2,548

5.070968

0.222581

0.050891

0.053435

0.050891

0.655216

0.608142

0.587786

0.544529

0.489822

0

0.005056

0.223705

2,548

51

146

49.960784

0.789687

0

0.363636

0

0.127943

0.042386

0

0.159091

1

0.113636

false

0

0.136364

0

0.295455

0

null

0

null

0

1

0