xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

ffb567f0688a716f16f90345a882a5dc8d44737d

4,025

py

Python

language/xsp/data_preprocessing/language_utils.py

Xtuden-com/language

70c0328968d5ffa1201c6fdecde45bbc4fec19fc

[ "Apache-2.0" ]

1,199

2018-10-16T01:30:18.000Z

2022-03-31T21:05:24.000Z

language/xsp/data_preprocessing/language_utils.py

Xtuden-com/language

70c0328968d5ffa1201c6fdecde45bbc4fec19fc

[ "Apache-2.0" ]

116

2018-10-18T03:31:46.000Z

2022-03-24T13:40:50.000Z

language/xsp/data_preprocessing/language_utils.py

Xtuden-com/language

70c0328968d5ffa1201c6fdecde45bbc4fec19fc

[ "Apache-2.0" ]

303

2018-10-22T12:35:12.000Z

2022-03-27T17:38:17.000Z

# coding=utf-8 # Copyright 2018 The Google AI Language Team 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 ...

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0

null

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1

0

ffb64699aee68caa91b512adb859b23ae28d1500

13,270

py

Python

back/api/tests/test_pricing.py

maltaesousa/geoshop2

624c6d79b5a29b39a898e0d1332fb8de23bd96e4

[ "BSD-3-Clause" ]

null

back/api/tests/test_pricing.py

maltaesousa/geoshop2

624c6d79b5a29b39a898e0d1332fb8de23bd96e4

[ "BSD-3-Clause" ]

155

2020-01-06T09:32:32.000Z

2022-03-31T09:21:39.000Z

back/api/tests/test_pricing.py

maltaesousa/geoshop2

624c6d79b5a29b39a898e0d1332fb8de23bd96e4

[ "BSD-3-Clause" ]

3

2020-01-29T15:48:02.000Z

2020-06-04T12:50:24.000Z

from itertools import islice from django.core import mail from django.contrib.auth import get_user_model from django.contrib.gis.geos import Polygon, Point from djmoney.money import Money from rest_framework.test import APITestCase from api.models import Contact, Pricing, Product, PricingGeometry, Order, OrderItem, Ord...

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null

0

null

0

1

0

ffb9d19110d417666cdbb685244d2f511866f9ea

2,442

py

Python

app/searchtweet/searchtweet.py

winsb/SearchTweet

fe5e2760fda8fd563210d71293aef16d2cc90d7e

[ "MIT" ]

null

app/searchtweet/searchtweet.py

winsb/SearchTweet

fe5e2760fda8fd563210d71293aef16d2cc90d7e

[ "MIT" ]

null

app/searchtweet/searchtweet.py

winsb/SearchTweet

fe5e2760fda8fd563210d71293aef16d2cc90d7e

[ "MIT" ]

null

# searchtweet.py import json from requests_oauthlib import OAuth1Session from . import tweetdata # const TWITTER_API_URL_PREFIX = "https://api.twitter.com/1.1/" # SearchTweet class class SearchTweet: def __init__(self, consumer_key, consumer_secret, access_token, access_token_secret): self._twitter_oa...

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null

0

null

0

1

0

4401734f9b9049dfaf10b947e8ca78dc704dd051

1,329

py

Python

core/realm_cmd.py

pg83/mix

1aa964214a239bb80b3a2fa408551929b6b77acc

[ "MIT" ]

12

2021-12-04T09:38:50.000Z

2022-03-22T16:27:30.000Z

core/realm_cmd.py

apatrushev/mix

754fb2f7f308ad8285953aab9c4eba218968c0d4

[ "MIT" ]

1

2022-02-15T23:16:32.000Z

core/realm_cmd.py

apatrushev/mix

754fb2f7f308ad8285953aab9c4eba218968c0d4

[ "MIT" ]

1

2022-02-08T18:57:50.000Z

import core.utils as cu import core.manager as cm import core.cmd_line as cc def parse_args(ctx): class Args: def __init__(self): args = ctx['args'] self.realm = args[0] ctx['args'] = args[1:] self.config, self.pkgs = cc.parse_pkgs(ctx) return Args() ...

22.15

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0.05

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null

0

null

0

1

0

4401e3beac1ac62391add8303cda7c0a7de04f42

476

py

Python

hash_table/0500_keyboard_row/0500_keyboard_row.py

zdyxry/LeetCode

33371285d0f3302158230f46e8b1b63b9f4639c4

[ "Xnet", "X11" ]

6

2019-09-16T01:50:44.000Z

2020-09-17T08:52:25.000Z

hash_table/0500_keyboard_row/0500_keyboard_row.py

zdyxry/LeetCode

33371285d0f3302158230f46e8b1b63b9f4639c4

[ "Xnet", "X11" ]

null

hash_table/0500_keyboard_row/0500_keyboard_row.py

zdyxry/LeetCode

33371285d0f3302158230f46e8b1b63b9f4639c4

[ "Xnet", "X11" ]

4

2020-02-07T12:43:16.000Z

2021-04-11T06:38:55.000Z

from typing import List class Solution: def findWords(self, words: List[str]) -> List[str]: set1 = set('qwertyuiop') set2 = set('asdfghjkl') set3 = set('zxcvbnm') res = [] for i in words: x = i.lower() setx = set(x) if setx<=set1 or setx<=...

25.052632

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0.25

0.0625

0

null

0

null

0

1

0

440897e459f198c3b14d3d46c61083b908043a45

547

py

Python

common/data_refinery_common/constants.py

erflynn/refinebio

4ead4082a6b98f7fc8cffdc62c4394338a577f3d

[ "BSD-3-Clause" ]

106

2018-03-05T16:24:47.000Z

2022-03-19T19:12:25.000Z

common/data_refinery_common/constants.py

erflynn/refinebio

4ead4082a6b98f7fc8cffdc62c4394338a577f3d

[ "BSD-3-Clause" ]

1,494

2018-02-27T17:02:21.000Z

2022-03-24T15:10:30.000Z

common/data_refinery_common/constants.py

erflynn/refinebio

4ead4082a6b98f7fc8cffdc62c4394338a577f3d

[ "BSD-3-Clause" ]

15

2019-02-03T01:34:59.000Z

2022-03-29T01:59:13.000Z

from data_refinery_common.utils import get_env_variable LOCAL_ROOT_DIR = get_env_variable("LOCAL_ROOT_DIR", "/home/user/data_store") # We store what salmon ouptuts as its version, therefore for # comparisions or defaults we shouldn't just store the version string, # we need something with the pattern: 'salmon X.X.X' C...

49.727273

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null

0

null

0

1

0

4409126fcb48835e2b94769b277223312da2de0b

4,680

py

Python

db.py

seasidefm/botsuro-twitch

de87be41c0ea3b57816eda89cc3fea1169778343

[ "Apache-2.0" ]

null

db.py

seasidefm/botsuro-twitch

de87be41c0ea3b57816eda89cc3fea1169778343

[ "Apache-2.0" ]

null

db.py

seasidefm/botsuro-twitch

de87be41c0ea3b57816eda89cc3fea1169778343

[ "Apache-2.0" ]

null

import datetime import os import string import time from bson.json_util import dumps from json import loads from pymongo import MongoClient from utils import SongRequest, UserPayload TEMP_MOVIE_DETAILS = """ Title: Maison Ikkoku | Synopsis: Maison Ikkoku is a bitter-sweet romantic comedy involving a group of madcap ...

34.666667

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4,680

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0.017428

0.036793

0.332301

0.314485

0.269558

0.248257

0.215724

0.190163

0

0.002495

0.314957

4,680

134

101

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0.80287

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0

0.272727

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false

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0.036364

0

null

0

null

0

1

0

440a2c6ef802e9a82756a1ade4c76fb4a056e3ee

20,200

py

Python

hw2/train_pg_v2.py

HuanjunWang/rl_homework

4c387fa7016e980fe1f72824e6ed5b980bf8e717

[ "MIT" ]

null

hw2/train_pg_v2.py

HuanjunWang/rl_homework

4c387fa7016e980fe1f72824e6ed5b980bf8e717

[ "MIT" ]

null

hw2/train_pg_v2.py

HuanjunWang/rl_homework

4c387fa7016e980fe1f72824e6ed5b980bf8e717

[ "MIT" ]

null

import numpy as np import tensorflow as tf import gym import logz import scipy.signal import os import time from multiprocessing import Process import shutil class MyArgument(object): def __init__(self, exp_name='vpg', env_name='CartPole-v1', n_iter=100, ...

44.789357

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20,200

4.61383

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0.012847

0.016058

0.407786

0.373625

0.31708

0.291873

0.273674

0

0.010835

0.369455

20,200

450

121

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0.79587

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0.017094

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0.031339

false

0

0.025641

0

0.079772

0.045584

0

null

0

null

0

1

0

440afa545bf83412add26954940014f4b8250c80

664

py

Python

lab1_python_intro/ex5_SOLUTION_conditional_number.py

ggruszczynski/CFDPython

1662ede061fb899d6ed3f89c17877e65f65e521c

[ "CC-BY-3.0" ]

null

lab1_python_intro/ex5_SOLUTION_conditional_number.py

ggruszczynski/CFDPython

1662ede061fb899d6ed3f89c17877e65f65e521c

[ "CC-BY-3.0" ]

null

lab1_python_intro/ex5_SOLUTION_conditional_number.py

ggruszczynski/CFDPython

1662ede061fb899d6ed3f89c17877e65f65e521c

[ "CC-BY-3.0" ]

1

2021-02-05T08:00:02.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Nov 4 19:05:22 2020 @author: ggruszczynski """ import numpy as np from numpy import linalg as LA def dot_product(u,v): return u @ v def calc_condition_number_naive(f, u, v, delta): cond_number = LA.norm(f(u+delta, v) - f(u,v)) / LA.norm(f(u,...

20.75

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0.120907

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0.375

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0

null

0

null

0

1

0

4410ba355da46d3266d0b93f07bb597a2d073c21

1,000

py

Python

paramak/parametric_shapes/rotate_spline_shape.py

billingsley-john/paramak

127d064f7bc0fd26305b4d83776d66b0e12aeeb0

[ "MIT" ]

null

paramak/parametric_shapes/rotate_spline_shape.py

billingsley-john/paramak

127d064f7bc0fd26305b4d83776d66b0e12aeeb0

[ "MIT" ]

null

paramak/parametric_shapes/rotate_spline_shape.py

billingsley-john/paramak

127d064f7bc0fd26305b4d83776d66b0e12aeeb0

[ "MIT" ]

null

from typing import Optional, Tuple from paramak import RotateMixedShape class RotateSplineShape(RotateMixedShape): """Rotates a 3d CadQuery solid from points connected with splines. Args: rotation_angle: The rotation_angle to use when revolving the solid. Defaults to 360.0. stp_...

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1,000

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1,000

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false

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0.210526

0

null

0

null

0

1

0

4414b94db096b9792beb0261cd50cbcc79200424

3,352

py

Python

applications/fatigue_w_proxy/container4/app/predict.py

Dumpkin1996/clipper

1a08bbdde846c3cfe76236c68548a848f71605e0

[ "Apache-2.0" ]

2

2019-04-24T13:46:28.000Z

2019-05-28T06:59:26.000Z

applications/fatigue_w_proxy/container4/app/predict.py

SimonZsx/clipper

457088be2ebe68c68b94d90389d1308e35b4c844

[ "Apache-2.0" ]

null

applications/fatigue_w_proxy/container4/app/predict.py

SimonZsx/clipper

457088be2ebe68c68b94d90389d1308e35b4c844

[ "Apache-2.0" ]

4

2019-04-03T11:03:57.000Z

2019-06-26T08:22:38.000Z

import cv2 import numpy as np import os import json import time from datetime import datetime def image_string(image): image_encode=cv2.imencode('.jpg',image)[1] imagelist=image_encode.tolist() image_string=json.dumps(imagelist) return image_string def string_image(imagestring): image_list=json.loa...

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0.120482

0

null

0

null

0

1

0

442337ece147504cb1df39981a0b29a4670fe631

530

py

Python

PDF/pymupdf_get_bookmarks.py

MartinThoma/algorithms

4347a9b7bf54ef378d16d26ef9e357ddc710664b

[ "MIT" ]

209

2015-01-02T03:47:12.000Z

2022-03-06T16:54:47.000Z

PDF/pymupdf_get_bookmarks.py

Kerwin-Xie/algorithms

4347a9b7bf54ef378d16d26ef9e357ddc710664b

[ "MIT" ]

3

2015-12-06T14:40:34.000Z

2021-03-22T17:40:24.000Z

PDF/pymupdf_get_bookmarks.py

Kerwin-Xie/algorithms

4347a9b7bf54ef378d16d26ef9e357ddc710664b

[ "MIT" ]

114

2015-01-31T08:37:10.000Z

2022-02-23T04:42:28.000Z

# Type annotations are pretty awesome: # https://medium.com/analytics-vidhya/type-annotations-in-python-3-8-3b401384403d from typing import Dict import fitz # pip install pymupdf def get_bookmarks(filepath: str) -> Dict[int, str]: # WARNING! One page can have multiple bookmarks! bookmarks = {} with fitz...

27.894737

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0

null

0

null

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1

0

44252fea2299758e673934a1ecda9362f2441cf3

2,058

py

Python

muddery/commands/player.py

MarsZone/DreamLand

87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

muddery/commands/player.py

MarsZone/DreamLand

87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

muddery/commands/player.py

MarsZone/DreamLand

87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

""" This is adapt from evennia/evennia/commands/default/player.py. The licence of Evennia can be found in evennia/LICENSE.txt. """ import time from django.conf import settings from evennia.server.sessionhandler import SESSIONS from evennia.commands.command import Command from evennia.utils import utils, create, search...

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null

0

null

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442618fc9c28b2ce42e414759738c3f72d214758

20,002

py

Python

python_utilities/parallel.py

sdaxen/python_utilities

7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb

[ "MIT" ]

2

2020-04-13T20:17:36.000Z

2020-05-12T01:13:12.000Z

python_utilities/parallel.py

sethaxen/python_utilities

7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb

[ "MIT" ]

5

2015-10-20T22:57:51.000Z

2017-09-07T01:10:23.000Z

python_utilities/parallel.py

sethaxen/python_utilities

7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb

[ "MIT" ]

3

2015-08-17T17:55:41.000Z

2018-09-19T13:56:42.000Z

"""Tools to aid in parallelizing a function call. Default method is MPI, if available. Fallback is concurrent.futures. If all else fails, final fallback is serial. Author: Seth Axen Email: seth.axen@gmail.com """ import os import sys import logging from copy import copy import multiprocessing try: from itertools ...

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null

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1

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44274d06c13806c20cb7ccbcad1c6195b3fdd749

405

py

Python

Algorithm/coding_interviews/Python/sword-for-offer/43_num_of_one.py

ck76/awesome-cs

48cba4081dc5290f07e305850b9a3a7e8a590b64

[ "Apache-2.0" ]

1

2021-11-16T13:37:41.000Z

Algorithm/coding_interviews/Python/sword-for-offer/43_num_of_one.py

ck76/awesome-cs

48cba4081dc5290f07e305850b9a3a7e8a590b64

[ "Apache-2.0" ]

null

Algorithm/coding_interviews/Python/sword-for-offer/43_num_of_one.py

ck76/awesome-cs

48cba4081dc5290f07e305850b9a3a7e8a590b64

[ "Apache-2.0" ]

null

#! /usr/bin/python3 # -*- coding: utf-8 -*- # @Time : 2019/3/10 5:21 PM # @Author : xiaoliji # @Email : yutian9527@gmail.com """ 1~n整数中1出现的次数。 >>> countDigitOne(12) 5 """ def countDigitOne(n: int) -> int: counter, i = 0, 1 while i <= n: divider = i * 10 counter += (n // d...

19.285714

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405

3.690909

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null

0

null

0

1

0

4428f0e65f1454c8ca62ff07f9d8c0d8f778e7d4

22,957

py

Python

CoMPILE_github/test_ranking.py

TmacMai/CoMPILE_Inductive_Knowledge_Graph

072885012893a50b47cdee17f2e47f671e33bc00

[ "MIT" ]

14

2020-12-07T16:36:30.000Z

2022-03-05T12:31:30.000Z

CoMPILE_github/test_ranking.py

TmacMai/CoMPILE_Inductive_Knowledge_Graph

072885012893a50b47cdee17f2e47f671e33bc00

[ "MIT" ]

3

2021-04-06T01:22:32.000Z

2022-03-12T01:39:12.000Z

CoMPILE_github/test_ranking.py

TmacMai/CoMPILE_Inductive_Knowledge_Graph

072885012893a50b47cdee17f2e47f671e33bc00

[ "MIT" ]

4

2021-03-10T05:10:05.000Z

2022-03-05T12:32:45.000Z

import os import random import argparse import logging import json import time import multiprocessing as mp import scipy.sparse as ssp from tqdm import tqdm import networkx as nx import torch import numpy as np import dgl #os.environ["CUDA_VISIBLE_DEVICES"]="1" def process_files(files, saved_relation2id, add_traspose...

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0

null

0

null

0

1

0

4428fa67a48dd401185f9736e5599509b0b9fc95

652

py

Python

scheduler/scheduler.py

ericlearning/General-I2I

ba7c5d6a582bdf2e7b53c0e20c31e9097b1883a9

[ "MIT" ]

1

2019-12-20T15:08:18.000Z

scheduler/scheduler.py

ericlearning/General-I2I

ba7c5d6a582bdf2e7b53c0e20c31e9097b1883a9

[ "MIT" ]

null

scheduler/scheduler.py

ericlearning/General-I2I

ba7c5d6a582bdf2e7b53c0e20c31e9097b1883a9

[ "MIT" ]

null

import math class LinearDecay(): def __init__(self, opt, optimizer, iter_num): self.optimizer = optimizer self.init = opt.lr self.tot = iter_num * opt.epoch self.st = iter_num * opt.decay_start_epoch if(self.st < 0): self.st = self.tot self.cnt = 0 self.state_dict = self.optimizer.state_dict() def ste...

25.076923

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652

3.88785

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0

0.045455

0.318182

0

null

0

null

0

1

0

4429767250a51905f861cf7049625276399f4004

23,698

py

Python

pm.py

oscarmonllor99/dark_matter_study

b301cc2a4aa33d8b044b99da6310483814df55f1

[ "MIT" ]

null

pm.py

oscarmonllor99/dark_matter_study

b301cc2a4aa33d8b044b99da6310483814df55f1

[ "MIT" ]

null

pm.py

oscarmonllor99/dark_matter_study

b301cc2a4aa33d8b044b99da6310483814df55f1

[ "MIT" ]

null

import numpy as np from numba import jit import random import time import argparse ############################################## ######### PARÁMETROS FÍSICOS ################ ############################################## Q = 1.3 NUM_PARTICLES = 100000 #Número de partículas NUM_PARTICLES_BULGE = int(0.14 ...

34.85

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23,698

2.864055

0.099436

0.03731

0.019277

0.035755

0.542129

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0.465126

0.433413

0.402632

0.370608

0

0.041435

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0.008475

0

null

0

null

0

1

0

4429e980a041daa0f6ae5470ca29efeec75f048a

1,526

py

Python

08_apples_and_bananas/apples.py

trev-f/tiny_python_projects

20b05f1def834bc9deda58ebdb5cb1d7fe647e45

[ "MIT" ]

null

08_apples_and_bananas/apples.py

trev-f/tiny_python_projects

20b05f1def834bc9deda58ebdb5cb1d7fe647e45

[ "MIT" ]

null

08_apples_and_bananas/apples.py

trev-f/tiny_python_projects

20b05f1def834bc9deda58ebdb5cb1d7fe647e45

[ "MIT" ]

null

#!/usr/bin/env python3 """ Author : treevooor <treevooor@localhost> Date : 2021-11-09 Purpose: Apples and bananas """ import argparse import os # -------------------------------------------------- def get_args(): """Get command-line arguments""" parser = argparse.ArgumentParser( description='Apple...

24.222222

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1,526

4.819444

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62

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0.142857

0.028571

0

null

0

null

0

1

0

442b111ca91187ce9c255240e5dfebe65f40b89f

348

py

Python

configs/siam_hrnet/siam_hr18_512x512_40k_s2looking_backsplit.py

slchenchn/rsaicp_CD

08723b6da125b4ebe7f4777be8ef14a1b5746523

[ "Apache-2.0" ]

null

configs/siam_hrnet/siam_hr18_512x512_40k_s2looking_backsplit.py

slchenchn/rsaicp_CD

08723b6da125b4ebe7f4777be8ef14a1b5746523

[ "Apache-2.0" ]

null

configs/siam_hrnet/siam_hr18_512x512_40k_s2looking_backsplit.py

slchenchn/rsaicp_CD

08723b6da125b4ebe7f4777be8ef14a1b5746523

[ "Apache-2.0" ]

1

2022-03-21T07:37:24.000Z

''' Author: Shuailin Chen Created Date: 2021-07-06 Last Modified: 2021-08-18 content: siamese HR18 with background splitting ''' _base_ = [ './siam_hr18_512x512_40k_s2looking.py' ] model = dict( decode_head=dict( post_process=dict( type='SetConstValue', position=0, ...

18.315789

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348

4.926829

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0

null

0

null

0

1

0

442c17486ddf7abefd979fe9ad65f0fda830f7ae

1,774

py

Python

examples/streak/plot.py

bjornaa/ladim2

f6c1be9028ca54370ce33dde25b005d5b0bb4677

[ "MIT" ]

null

examples/streak/plot.py

bjornaa/ladim2

f6c1be9028ca54370ce33dde25b005d5b0bb4677

[ "MIT" ]

null

examples/streak/plot.py

bjornaa/ladim2

f6c1be9028ca54370ce33dde25b005d5b0bb4677

[ "MIT" ]

null

"""Plot a snapshot of the particle distribution""" # -------------------------------- # Bjørn Ådlandsvik <bjorn@ho.no> # Institute of Marine Research # November 2020 # -------------------------------- import numpy as np import matplotlib.pyplot as plt from netCDF4 import Dataset from postladim import ParticleFile #...

22.74359

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1,774

3.952727

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0.102564

0

null

0

null

0

1

0

442dae1169b8f000e9fec9855121b98524da0cb8

1,945

py

Python

tests/test-data/mock.py

mr-c/CTDConverter

84c58674405d24cc21e765367fa089fa31a5df0f

[ "MIT" ]

null

tests/test-data/mock.py

mr-c/CTDConverter

84c58674405d24cc21e765367fa089fa31a5df0f

[ "MIT" ]

null

tests/test-data/mock.py

mr-c/CTDConverter

84c58674405d24cc21e765367fa089fa31a5df0f

[ "MIT" ]

null

#!/usr/bin/env python # little mock app to handle ouput file parameters # i.e. to create them import os import shutil import sys from CTDopts.CTDopts import CTDModel, _InFile, _OutFile # from argparse import ArgumentParser # parser = ArgumentParser(prog="mock.py", description="MOCK", add_help=True) # parser.add_arg...

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0

0.111111

0

null

0

null

0

1

0

442e571ab100fe4f8465f2178b6129b91ab30a27

1,323

py

Python

cubes_lite/sql/request.py

notexistence/cubes_lite

2cbc54509e6dc8a529c9f33fd39d0f659d6a5647

[ "MIT" ]

null

cubes_lite/sql/request.py

notexistence/cubes_lite

2cbc54509e6dc8a529c9f33fd39d0f659d6a5647

[ "MIT" ]

null

cubes_lite/sql/request.py

notexistence/cubes_lite

2cbc54509e6dc8a529c9f33fd39d0f659d6a5647

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals import collections from cubes_lite.query import Request, Response __all__ = ( 'ListSQLRequest', 'ListSQLResponse', 'OneRowSQLRequest', 'OneRowSQLResponse', ) class ListSQLResponse(Response): def __init__(self, *args, **kwargs): ...

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0

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0.02381

0.333333

0

null

0

null

0

1

0

443047ead0ffbfc30ef88ed167c3c08722403b2c

1,166

py

Python

render.py

22preich/BlenderNetworkRender

53b4f036c3adea31d947d64aa1ed0983a29c8e07

[ "MIT" ]

1

2021-09-12T06:48:50.000Z

render.py

22preich/BlenderNetworkRender

53b4f036c3adea31d947d64aa1ed0983a29c8e07

[ "MIT" ]

null

render.py

22preich/BlenderNetworkRender

53b4f036c3adea31d947d64aa1ed0983a29c8e07

[ "MIT" ]

null

import bpy import sys dir = "C:/Users/foggy/Appdata/roaming/python37/site-packages" sys.path.append(dir) from flask import Flask, request, render_template from werkzeug.utils import secure_filename import eventlet from eventlet import wsgi app = Flask(__name__) @app.route('/') def hello_world(): return render_te...

27.761905

126

0.704117

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5.0125

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0

0.015748

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41

127

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false

0

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0.448276

0.034483

0

null

0

null

0

1

0

4433556a7cfa388b2c20801fb5e687c8efe75005

3,889

py

Python

lab6/main_romain_claret_and_sylvain_robert-nicoud_lab6.py

RomainClaret/msc.ml.labs

4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5

[ "MIT" ]

null

lab6/main_romain_claret_and_sylvain_robert-nicoud_lab6.py

RomainClaret/msc.ml.labs

4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5

[ "MIT" ]

null

lab6/main_romain_claret_and_sylvain_robert-nicoud_lab6.py

RomainClaret/msc.ml.labs

4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5

[ "MIT" ]

null

#!/usr/bin/env python3 # 26.04.21 # Assignment lab 06 # Master Class: Machine Learning (5MI2018) # Faculty of Economic Science # University of Neuchatel (Switzerland) # Lab 6, see ML21_Exercise_6.pdf for more information # https://github.com/RomainClaret/msc.ml.labs # Authors: # - Romain Claret @RomainClaret # - Sy...

31.877049

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0

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0

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0.014925

0

null

0

null

0

1

0

44348a202532b675204c5d619a14b8c76d684034

3,061

py

Python

13_week/pr12_1 .py

WoojaeJang/AppliedOptimization-Gurobi

067e4e5a0391de74f673f935b0ba765b037a4149

[ "AFL-1.1" ]

null

13_week/pr12_1 .py

WoojaeJang/AppliedOptimization-Gurobi

067e4e5a0391de74f673f935b0ba765b037a4149

[ "AFL-1.1" ]

null

13_week/pr12_1 .py

WoojaeJang/AppliedOptimization-Gurobi

067e4e5a0391de74f673f935b0ba765b037a4149

[ "AFL-1.1" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed May 26 10:28:54 2021 @author: woojae-macbook13 """ from pandas import* import pandas as pd import numpy as np # path = ".\\" filename = "pr1.xlsx" # dataset = pd.read_excel(path+filename) dataset = pd.read_excel(filename) order = "고객" itemcode = "it...

20.965753

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0.601764

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0

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0

null

0

null

0

1

0

443586b918e80fa19a7a9248966f3748b23543dc

468

py

Python

loso/util.py

fangpenlin/loso

8677ed754c793887dde10feb9a13dce25ea09f58

[ "BSD-3-Clause" ]

28

2017-03-21T09:04:41.000Z

2021-06-13T06:19:51.000Z

loso/util.py

JoyCTsai/loso

8677ed754c793887dde10feb9a13dce25ea09f58

[ "BSD-3-Clause" ]

null

loso/util.py

JoyCTsai/loso

8677ed754c793887dde10feb9a13dce25ea09f58

[ "BSD-3-Clause" ]

8

2017-07-23T06:04:49.000Z

2021-12-25T02:27:45.000Z

def ngram(n, terms): """An iterator for iterating n-gram terms from a text, for example: >>> list(ngram(2, ['Today', 'is', 'my', 'day'])) [['Today', 'is'], ['is', 'my'], ['my', 'day']] >>> list(ngram(3, ['Today', 'is', 'my', 'day'])) [['Today', 'is', 'my'], ['is', 'my', 'day']] ...

29.25

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62

468

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468

16

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0

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0

0.333333

0

null

0

null

0

1

0

443924889fb2bc02902f4276bdfdab0574a5167f

493

py

Python

lbry/lbry/wallet/__init__.py

JupyterJones/lbry-sdk

be89436fa869e1b4b9f05c3faa5c126ebcfe6e57

[ "MIT" ]

null

lbry/lbry/wallet/__init__.py

JupyterJones/lbry-sdk

be89436fa869e1b4b9f05c3faa5c126ebcfe6e57

[ "MIT" ]

null

lbry/lbry/wallet/__init__.py

JupyterJones/lbry-sdk

be89436fa869e1b4b9f05c3faa5c126ebcfe6e57

[ "MIT" ]

null

__node_daemon__ = 'lbrycrdd' __node_cli__ = 'lbrycrd-cli' __node_bin__ = '' __node_url__ = ( 'https://github.com/lbryio/lbrycrd/releases/download/v0.17.2.1/lbrycrd-linux.zip' # 'https://github.com/lbryio/lbrycrd/releases/download/v0.17.3.1/lbrycrd-linux-1731.zip' ) __spvserver__ = 'lbry.wallet.server.coin.LBCRe...

37.923077

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0.3

0

null

0

null

0

1

0

443a0fbbf12f2c065e3a541ea080bc7fd07fd5a3

6,797

py

Python

logdweb/views.py

hiidef/logdweb

c80d47f4c5759cadeb3088b9f7fa093c30e11696

[ "MIT" ]

1

2015-08-30T02:36:13.000Z

logdweb/views.py

hiidef/logdweb

c80d47f4c5759cadeb3088b9f7fa093c30e11696

[ "MIT" ]

null

logdweb/views.py

hiidef/logdweb

c80d47f4c5759cadeb3088b9f7fa093c30e11696

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """logdweb admin views.""" try: import simplejson as json except ImportError: import json import time from django.core.urlresolvers import reverse from django.http import HttpResponse, Http404, HttpResponseRedirect from django_jinja2 import render_to_response, ...

35.586387

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0.312102

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null

0

null

0

1

0

443d9413d2bd1afe7dab3a1392c07a5c51c65936

4,999

py

Python

moves/auth.py

iwharris/moves-transponder

df72fd0f6a0dd77997376c2979c5c00edb7c6bab

[ "MIT" ]

null

moves/auth.py

iwharris/moves-transponder

df72fd0f6a0dd77997376c2979c5c00edb7c6bab

[ "MIT" ]

null

moves/auth.py

iwharris/moves-transponder

df72fd0f6a0dd77997376c2979c5c00edb7c6bab

[ "MIT" ]

null

from __future__ import print_function import requests import time import sys from lxml import html import urlparse from util import * __author__ = 'iwharris' def request_auth_desktop(base_url, client_id, client_secret, scope, redirect_uri, state=''): """Makes an auth request to the Moves API. scope may be '...

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0

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0

0.16

0.11

0

null

0

null

0

1

0

443ec98bcd2dc6957fa92fd540a750b1e3acc89e

5,907

py

Python

Code_for_Signal_Processing_test/open_data_FFR_mac_v2.0.1.py

puyaraimondii/biometric-classification-of-frequency-following-responses

f5b5dca516592be451a3133acb8fa178519bc991

[ "MIT" ]

1

2021-04-20T14:47:40.000Z

Code_for_Signal_Processing_test/open_data_FFR_mac_v2.0.1.py

puyaraimondii/biometric-classification-of-frequency-following-responses

f5b5dca516592be451a3133acb8fa178519bc991

[ "MIT" ]

null

Code_for_Signal_Processing_test/open_data_FFR_mac_v2.0.1.py

puyaraimondii/biometric-classification-of-frequency-following-responses

f5b5dca516592be451a3133acb8fa178519bc991

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Jul 22 21:22:58 2018 @author: bruce """ import pandas as pd import os import numpy as np from scipy import fftpack from scipy import signal import matplotlib.pyplot as plt pkl_file=pd.read_pickle('/Users/bruce/Documents/uOttawa/Project/audio_brainst...

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null

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443fa32c189f00023a8d9b89e8fc6e723ffab926

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py

Python

mnist_model.py

shudong-zhang/Train-generator

65688c36ffcaba688e96bf3932db07ab658ea99d

[ "MIT" ]

null

mnist_model.py

shudong-zhang/Train-generator

65688c36ffcaba688e96bf3932db07ab658ea99d

[ "MIT" ]

null

mnist_model.py

shudong-zhang/Train-generator

65688c36ffcaba688e96bf3932db07ab658ea99d

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F # 说明：target1和target2 是两个目标模型，后面的mnists1和mnists2 是用于训练vae的模型。 # 我们攻击的时候，就选择target1和target2就行，不要选择后面两个模型。 # target1的模型权重就是那个mnist_gpu，target2的模型权重是mnist_models/checkpoints/mnist_target_2_best.pth.tar class MNIST_target_1(nn.Module): def __init__(self...

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null

0

null

0

1

0

444109ce8cf31f72f2c3c1602e9ba493a22264fc

339

py

Python

function/news_text.py

zoohee/SqueezeNews

4f51b307c05259fb567cbe2027fed09a354b4773

[ "Apache-2.0" ]

null

function/news_text.py

zoohee/SqueezeNews

4f51b307c05259fb567cbe2027fed09a354b4773

[ "Apache-2.0" ]

7

2021-11-01T08:41:33.000Z

2021-11-06T20:42:41.000Z

function/news_text.py

zoohee/SqueezeNews

4f51b307c05259fb567cbe2027fed09a354b4773

[ "Apache-2.0" ]

3

2021-11-01T14:58:55.000Z

2022-03-21T07:37:05.000Z

import newspaper from newspaper import Article # url = 'http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/' def text_extraction(url): article = Article(url) article.download() article.parse() text = article.text text = text.replace("\n\n"," ") # '\n' -> '' ...

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null

0

null

0

1

0

4447cebaca237fce398177fea1226e3ccac3370d

4,724

py

Python

handroute-power-stripes/check_sram.py

pohantw/caravel_user_project

2589b79bf97fd43186bf854ca3aaa60665f573ba

[ "Apache-2.0" ]

1

2021-11-24T12:42:26.000Z

handroute-power-stripes/check_sram.py

pohantw/caravel_user_project

2589b79bf97fd43186bf854ca3aaa60665f573ba

[ "Apache-2.0" ]

null

handroute-power-stripes/check_sram.py

pohantw/caravel_user_project

2589b79bf97fd43186bf854ca3aaa60665f573ba

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # # Script to read a GDS file, and replace a single cell structure with a cell of # the same name from a different GDS file. If a checksum is provided, then # the cell contents will be checked against the checksum before allowing the # replacement. The checksum is just the sum of the lengt...

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0

null

0

null

0

1

0

4449bfa6d89ff2ac50729d1ef0563c812702054a

527

py

Python

python/draw_map.py

dickensn/irlome-dev

40228014e7d82c3f629f5d86d489cf6b888cd089

[ "MIT" ]

null

python/draw_map.py

dickensn/irlome-dev

40228014e7d82c3f629f5d86d489cf6b888cd089

[ "MIT" ]

3

2018-11-03T16:17:17.000Z

2018-11-04T04:55:31.000Z

python/draw_map.py

dickensn/irlome-dev

40228014e7d82c3f629f5d86d489cf6b888cd089

[ "MIT" ]

null

#!/usr/bin/env python3 ''' IRLOME maps ''' __author__ = "Nick Dickens" __copyright__ = "Copyright 2018, Nicholas J. Dickens" __email__ = "dickensn@fau.edu" __license__ = "MIT" import matplotlib.pyplot as plt import mplleaflet points = [] with open("../web/data/user_data.csv") as in_fh: for line in in_fh: line ...

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null

0

null

0

1

0

444e14447cb4f0e4bc8141a034007957513313e9

6,787

py

Python

pickle_mom_seeding.py

garudlab/mother_infant

98a27c83bf5ece9497d5a030c6c9396a8c514781

[ "BSD-2-Clause" ]

null

pickle_mom_seeding.py

garudlab/mother_infant

98a27c83bf5ece9497d5a030c6c9396a8c514781

[ "BSD-2-Clause" ]

null

pickle_mom_seeding.py

garudlab/mother_infant

98a27c83bf5ece9497d5a030c6c9396a8c514781

[ "BSD-2-Clause" ]

null

# Question: are sweeping alleles in infants present in mom? # Idea: store data on allele frequency in mom for each sweeping allele in infant from utils import sample_utils as su, parse_midas_data, substitution_rates_utils, config, temporal_changes_utils, snps_utils, core_gene_utils, gene_diversity_utils import numpy a...

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null

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null

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1

0

44501000b3734b479464d60d1f33e27a81e07057

821

py

Python

recipes/Python/531821_Error_logging_context_manager/recipe-531821.py

tdiprima/code

61a74f5f93da087d27c70b2efe779ac6bd2a3b4f

[ "MIT" ]

2,023

2017-07-29T09:34:46.000Z

2022-03-24T08:00:45.000Z

recipes/Python/531821_Error_logging_context_manager/recipe-531821.py

unhacker/code

73b09edc1b9850c557a79296655f140ce5e853db

[ "MIT" ]

32

2017-09-02T17:20:08.000Z

2022-02-11T17:49:37.000Z

recipes/Python/531821_Error_logging_context_manager/recipe-531821.py

unhacker/code

73b09edc1b9850c557a79296655f140ce5e853db

[ "MIT" ]

780

2017-07-28T19:23:28.000Z

2022-03-25T20:39:41.000Z

from __future__ import with_statement from contextlib import contextmanager from functools import wraps import logging @contextmanager def error_trapping(ident=None): ''' A context manager that traps and logs exception in its block. Usage: with error_trapping('optional description'): m...

26.483871

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0.069106

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0.28989

821

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0.254568

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0.024955

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false

0

0.210526

0

0.473684

0

null

0

null

0

1

0

44505ee5565c15ff2332d974385cc5824f0522fa

1,004

py

Python

escolaridade/tests.py

Bleno/sisgestor-django

c35f76eafc3e51afb99c84245e01881cef43aa5b

[ "MIT" ]

1

2017-04-27T19:26:49.000Z

escolaridade/tests.py

Bleno/sisgestor-django

c35f76eafc3e51afb99c84245e01881cef43aa5b

[ "MIT" ]

null

escolaridade/tests.py

Bleno/sisgestor-django

c35f76eafc3e51afb99c84245e01881cef43aa5b

[ "MIT" ]

null

from django.test import TestCase from django.test import Client from .models import Escolaridade class EscolaridadeTestCase(TestCase): def setUp(self): Escolaridade.objects.create(escolaridade="Médio") Escolaridade.objects.create(escolaridade="Fundamental") def test_escolaridade_exists(s...

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0.4

0

null

0

null

0

1

0

4450c03b84b4b673f18bc1860ea01b76a4f2ec4d

4,799

py

Python

python_ws/src/sim/src/aruco_front.py

boris-gu/drone-api

fd90f226bf83c79eb7c31b69b9141474017160a3

[ "BSD-3-Clause" ]

null

python_ws/src/sim/src/aruco_front.py

boris-gu/drone-api

fd90f226bf83c79eb7c31b69b9141474017160a3

[ "BSD-3-Clause" ]

null

python_ws/src/sim/src/aruco_front.py

boris-gu/drone-api

fd90f226bf83c79eb7c31b69b9141474017160a3

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # ===================== # Зависнуть у маркера # ===================== import numpy as np import rospy import cv2 import cv2.aruco as aruco from sensor_msgs.msg import Image from cv_bridge import CvBridge from aruco_calibration import Calibration as clb from drone_api import * from math import ...

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0

null

0

null

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1

0

4452b02d3ec66c4927bb44a51aa1b641b11fd632

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py

Python

Pipelines/Torch/Data/mnist.py

AkibMashrur/Research

a981e3410917216e03e09431c837607543905d83

[ "Apache-2.0" ]

null

Pipelines/Torch/Data/mnist.py

AkibMashrur/Research

a981e3410917216e03e09431c837607543905d83

[ "Apache-2.0" ]

null

Pipelines/Torch/Data/mnist.py

AkibMashrur/Research

a981e3410917216e03e09431c837607543905d83

[ "Apache-2.0" ]

null

# Reference: https://stackoverflow.com/questions/40427435/extract-images-from-idx3-ubyte-file-or-gzip-via-python # Based on answer by UdaraWanasinghe import os import gzip import numpy as np import torch import torch.nn.functional as F home_dir = os.path.expanduser('~') parent_dir = "Datasets/Images/MNIST/" def trai...

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0.015385

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null

0

null

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1

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4452eed1643b0ab8c55a85a0007be4f6da57ef15

7,968

py

Python

resources/rest-service/cloudify/migrations/versions/b92770a7b6ca_5_3_to_6_0.py

ilan-WS/cloudify-manager

510d8a277c848db351f38fc5b264806b2cb36d0b

[ "Apache-2.0" ]

124

2015-01-22T22:28:37.000Z

2022-02-26T23:12:06.000Z

resources/rest-service/cloudify/migrations/versions/b92770a7b6ca_5_3_to_6_0.py

cloudify-cosmo/cloudify-manager

4a3f44ceb49d449bc5ebc8766b1c7b9c174ff972

[ "Apache-2.0" ]

345

2015-01-08T15:49:40.000Z

2022-03-29T08:33:00.000Z

resources/rest-service/cloudify/migrations/versions/b92770a7b6ca_5_3_to_6_0.py

ilan-WS/cloudify-manager

510d8a277c848db351f38fc5b264806b2cb36d0b

[ "Apache-2.0" ]

77

2015-01-07T14:04:35.000Z

2022-03-07T22:46:00.000Z

"""5_3 to 6_0 Revision ID: b92770a7b6ca Revises: 396303c07e35 Create Date: 2021-04-12 09:33:44.399254 """ from alembic import op import sqlalchemy as sa from manager_rest.storage import models # revision identifiers, used by Alembic. revision = 'b92770a7b6ca' down_revision = '396303c07e35' branch_labels = None depe...

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null

0

null

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1

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44567aa723c7083a702d9f866e897914bb948003

47,745

py

Python

script/FilesFunctions/FilesFunctions.py

totordudu/UTBM_TZ20

27e4d3f247a3eba26c1c7c7a21e184917056ac52

[ "MIT" ]

null

script/FilesFunctions/FilesFunctions.py

totordudu/UTBM_TZ20

27e4d3f247a3eba26c1c7c7a21e184917056ac52

[ "MIT" ]

null

script/FilesFunctions/FilesFunctions.py

totordudu/UTBM_TZ20

27e4d3f247a3eba26c1c7c7a21e184917056ac52

[ "MIT" ]

null

#!/usr/bin/env python3 import os from datetime import datetime, timedelta import errno import time import USBKey class Files(): import sys import csv from datetime import datetime, date, time, timedelta import os from os import path import shutil # import urllib # for python 3 : import u...

48.969231

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0

null

0

null

0

1

0

44585e2e58dd7c6c6dcab8b55ab1edd7e5fa7f24

5,835

py

Python

soil/settings.py

major-hub/soil_app

ddd250161ad496afd4c8484f79500ff2657b51df

[ "MIT" ]

null

soil/settings.py

major-hub/soil_app

ddd250161ad496afd4c8484f79500ff2657b51df

[ "MIT" ]

null

soil/settings.py

major-hub/soil_app

ddd250161ad496afd4c8484f79500ff2657b51df

[ "MIT" ]

null

import os import sys from pathlib import Path from datetime import timedelta from django.conf import global_settings from django.utils.translation import gettext_lazy as _ import django.conf.locale # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent sys...

27.91866

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false

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0

0.05

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null

0

null

0

1

0

445ab1c1e4d78b8048df97b2a01122c5b251eb06

4,345

py

Python

Practica4/QuickSort/grafica.py

JosueHernandezR/An-lisis-de-Algoritmos

9953f2d3fee6b4cfe842fdbbea83b46b62fa123f

[ "MIT" ]

1

2021-09-30T20:05:41.000Z

Practica4/QuickSort/grafica.py

JosueHernandezR/An-lisis-de-Algoritmos

9953f2d3fee6b4cfe842fdbbea83b46b62fa123f

[ "MIT" ]

null

Practica4/QuickSort/grafica.py

JosueHernandezR/An-lisis-de-Algoritmos

9953f2d3fee6b4cfe842fdbbea83b46b62fa123f

[ "MIT" ]

null

#Análisis de Algoritmos 3CV2 # Alan Romero Lucero # Josué David Hernández Ramírez # Práctica 4 Divide y vencerás import matplotlib.pyplot as plt import numpy as np import gb """ Variables globales: proposed2: Función propuesta para el algoritmo Quicktime. Dependiendo si ...

38.451327

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0

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0

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0

null

0

null

0

1

0

445b95e70338446bf09b6f119beadcc108bb73c6

4,260

py

Python

simArch/run_nets.py

mfkiwl/uSystolic-Sim

ed03101108d299557ff215239caa1b51783882f6

[ "MIT" ]

18

2021-04-08T10:35:31.000Z

2022-03-03T14:29:06.000Z

simArch/run_nets.py

mfkiwl/uSystolic-Sim

ed03101108d299557ff215239caa1b51783882f6

[ "MIT" ]

1

2021-06-29T10:55:35.000Z

2021-10-08T21:04:54.000Z

simArch/run_nets.py

mfkiwl/uSystolic-Sim

ed03101108d299557ff215239caa1b51783882f6

[ "MIT" ]

4

2021-04-08T10:35:32.000Z

2021-12-11T13:45:24.000Z

import simArch.gemm_trace_wrapper as gemm_trace def run_net( ifmap_sram_size=1, # in K-Word filter_sram_size=1, # in K-Word ofmap_sram_size=1, # in K-Word array_h=32, array_w=32, data_flow='ws', word_size_bytes=1, wgt_bw_opt=False, topology_file=None, net_name=None, offset_l...

38.378378

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0.480047

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4,260

3.929607

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0.041096

0.031612

0.04215

0.145416

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0

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4,260

111

38.378378

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0.034884

0

null

0

null

0

1

0

445d5c9f90f1e235cdc97e3d99dbadddc792e214

550

py

Python

homepage/views.py

c17r/tsace

59c6e0388429943dc3de879745119f9c94cd9ccc

[ "MIT" ]

null

homepage/views.py

c17r/tsace

59c6e0388429943dc3de879745119f9c94cd9ccc

[ "MIT" ]

null

homepage/views.py

c17r/tsace

59c6e0388429943dc3de879745119f9c94cd9ccc

[ "MIT" ]

null

from datetime import datetime, timedelta from django.shortcuts import render from django.template import RequestContext import api def index(request): uid = request.COOKIES.get("uid") data = None if not uid: uid, _ = api.create_new_user() else: data = api.get_saved_cities(uid) res...

22

53

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550

5.378788

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0.056338

0

0.007194

0.241818

550

24

54

22.916667

0.844125

0

0.067273

0

1

0.052632

false

0

0.210526

0

0.315789

0

null

0

null

0

1

0

445ef4455f305009ac0e1b4aeb8c80e0b3115162

20,825

py

Python

wolfgang_robot/wolfgang_pybullet_sim/src/wolfgang_pybullet_sim/simulation.py

MosHumanoid/bitbots_thmos_meta

f45ccc362dc689b69027be5b0d000d2a08580de4

[ "MIT" ]

null

wolfgang_robot/wolfgang_pybullet_sim/src/wolfgang_pybullet_sim/simulation.py

MosHumanoid/bitbots_thmos_meta

f45ccc362dc689b69027be5b0d000d2a08580de4

[ "MIT" ]

null

wolfgang_robot/wolfgang_pybullet_sim/src/wolfgang_pybullet_sim/simulation.py

MosHumanoid/bitbots_thmos_meta

f45ccc362dc689b69027be5b0d000d2a08580de4

[ "MIT" ]

null

#!/usr/bin/env python3 import math import sys import os import time import pybullet as p from time import sleep import time import rospy import tf from scipy import signal import pybullet_data import rospkg from transforms3d.quaternions import quat2mat from wolfgang_pybullet_sim.terrain import Terrain import numpy as...

47.115385

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0.008746

0

null

0

null

0

1

0

4460bbb142aa4c99178afe32a15838a44e96e1f2

11,641

py

Python

dataloader_cifar.py

pizard/DivideMix

9610201b9eb5dc871a77bf12017c137be291c71c

[ "MIT" ]

null

dataloader_cifar.py

pizard/DivideMix

9610201b9eb5dc871a77bf12017c137be291c71c

[ "MIT" ]

null

dataloader_cifar.py

pizard/DivideMix

9610201b9eb5dc871a77bf12017c137be291c71c

[ "MIT" ]

null

from torch.utils.data import Dataset, DataLoader import torchvision.transforms as transforms import random import numpy as np from PIL import Image import json import os from torchnet.meter import AUCMeter def uniform_mix_C(mixing_ratio, num_classes): ''' returns a linear interpolation of a uniform matrix and a...

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11,641

4.532042

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0.015784

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0.462019

0.446399

0.410556

0.392305

0

0.034988

0.349369

11,641

261

260

44.601533

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0.084185

0

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0

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0

1

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false

0

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0.00995

0

null

0

null

0

1

0

4460f4628cd89ed83a3cb70a7461035c26830bb4

2,971

py

Python

rnnparser/RecursiveNN/tests/test_vectorized_variables.py

uphere-co/nlp-prototype

c4623927e5c5c5f9c3e702eb36497ea1d9fd1ff3

[ "BSD-3-Clause" ]

null

rnnparser/RecursiveNN/tests/test_vectorized_variables.py

uphere-co/nlp-prototype

c4623927e5c5c5f9c3e702eb36497ea1d9fd1ff3

[ "BSD-3-Clause" ]

null

rnnparser/RecursiveNN/tests/test_vectorized_variables.py

uphere-co/nlp-prototype

c4623927e5c5c5f9c3e702eb36497ea1d9fd1ff3

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import numpy as np import pytest from vecGraphComp.base import MatrixValues, ValueHolder, Block, NodeType, ExpressionWriter def test_numpy_structure_of_arrays_with_expand_dims(): m,n = 200,100 x1=np.random.random((n,1)) x2=np.random.random((n,1)) A=np.random.random((m,n)) x...

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0.059299

0.026954

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0

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91

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0

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null

0

null

0

1

0

4462a86f114257e11040144f6da38d51df8b1bf2

6,421

py

Python

code/pyorg/scripts/ribo_mt/particles_curator.py

anmartinezs/pyseg_system

5bb07c7901062452a34b73f376057cabc15a13c3

[ "Apache-2.0" ]

12

2020-01-08T01:33:02.000Z

2022-03-16T00:25:34.000Z

code/pyorg/scripts/ribo_mt/particles_curator.py

anmartinezs/pyseg_system

5bb07c7901062452a34b73f376057cabc15a13c3

[ "Apache-2.0" ]

8

2019-12-19T19:34:56.000Z

2022-03-10T10:11:28.000Z

code/pyorg/scripts/ribo_mt/particles_curator.py

anmartinezs/pyseg_system

5bb07c7901062452a34b73f376057cabc15a13c3

[ "Apache-2.0" ]

2

2022-03-30T13:12:22.000Z

2022-03-30T18:12:10.000Z

""" Curates an output STAR file from Relion to work as input for pyseg.pyorg scripts for microtubules Input: - STAR file with the particles to curate - STAR file to pair tomograms used for reconstruction with the one segmented used to pick the particles Output: - A curated output STAR file ...

35.672222

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889

6,421

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0.031185

0.039761

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0.142931

0.111746

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0.252033

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null

0

null

0

1

0

4462c41b0b42cc76b2753d10c545dd05d91c8946

1,954

py

Python

tests/test_proprietor_validation.py

LandRegistry/datatypes-alpha

b7ec20c9aec84697aa49aaf6bff52fac3770a942

[ "MIT" ]

null

tests/test_proprietor_validation.py

LandRegistry/datatypes-alpha

b7ec20c9aec84697aa49aaf6bff52fac3770a942

[ "MIT" ]

null

tests/test_proprietor_validation.py

LandRegistry/datatypes-alpha

b7ec20c9aec84697aa49aaf6bff52fac3770a942

[ "MIT" ]

1

2021-04-11T06:07:21.000Z

import unittest from copy import deepcopy from datatypes.exceptions import DataDoesNotMatchSchemaException from datatypes import proprietor_validator from datatypes.core import unicoded proprietor = unicoded({ "title" : "Mrs", "full_name": "Bootata Smick", "decoration": "tidy" }) proprietor_with_additi...

39.08

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0.095137

0.029598

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0.260747

0

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0

null

0

1

0

446691647b7b65b8fcd033c966f9edcd95dfe8b8

907

py

Python

src/plots/experiments_1.py

ekreutz/bayes-cv-pruning

a82888fcc8771fdf90d51bd6c37c5bc7a449c81a

[ "MIT" ]

null

src/plots/experiments_1.py

ekreutz/bayes-cv-pruning

a82888fcc8771fdf90d51bd6c37c5bc7a449c81a

[ "MIT" ]

null

src/plots/experiments_1.py

ekreutz/bayes-cv-pruning

a82888fcc8771fdf90d51bd6c37c5bc7a449c81a

[ "MIT" ]

null

import os import pickle import numpy as np import matplotlib.font_manager as font_manager import matplotlib.pyplot as plt import seaborn as sns # Plot sns.set(context="paper", style="whitegrid", font="STIXGeneral", font_scale=1.25) def plot(): CURRENT_PATH = os.path.dirname(os.path.realpath(__file__)) # Fi...

29.258065

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907

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0.027444

0

0.037736

0.181918

907

30

81

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0.747978

0.048512

0

0.187209

0

1

0.047619

false

0

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0

0.333333

0

null

0

null

0

1

0

44677c1268d64c9902a9bcde21123859ab265c49

709

py

Python

quickstart.py

adamstimb/nimbusinator

a7bb7e282b8322c1a97bffc3c40ab0541f746615

[ "MIT" ]

null

quickstart.py

adamstimb/nimbusinator

a7bb7e282b8322c1a97bffc3c40ab0541f746615

[ "MIT" ]

16

2019-11-23T19:08:45.000Z

2020-03-13T17:13:23.000Z

quickstart.py

adamstimb/nimbusinator

a7bb7e282b8322c1a97bffc3c40ab0541f746615

[ "MIT" ]

null

from nimbusinator.nimbus import Nimbus from nimbusinator.command import Command if __name__ == '__main__': # Create and bind nimbusinator objects: nim = Nimbus(full_screen=True) cmd = Command(nim) nim.boot() # Boot the Nimbus cmd.set_mode(40) # Low resolution mode cmd.set_border(1)...

33.761905

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709

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0.040909

0.072727

0

0.046642

0.244006

709

20

58

35.45

0.774254

0.291961

0

0.065173

0

1

0

false

0

0.133333

0

0.133333

0

null

0

null

0

1

0

4467af496402d2c4c04283d114962eb0a43111b9

264

py

Python

03-threads/threads_example.py

LeandroMelloo/programacao_concorrente_assincrona_com_python

49790de6004d588ccc2a07d1be0c420d6a1e4b7a

[ "Apache-2.0" ]

null

03-threads/threads_example.py

LeandroMelloo/programacao_concorrente_assincrona_com_python

49790de6004d588ccc2a07d1be0c420d6a1e4b7a

[ "Apache-2.0" ]

null

03-threads/threads_example.py

LeandroMelloo/programacao_concorrente_assincrona_com_python

49790de6004d588ccc2a07d1be0c420d6a1e4b7a

[ "Apache-2.0" ]

null

import threading def start_threading(param): print('Executa algo....') print(f'Utiliza o parâmetro recebido: {param}') return print(f'Resultado final: {param * param}') th = threading.Thread(target=start_threading, args=(5,)) th.start() th.join()

18.857143

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35

264

5.142857

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0

0.004464

0.151515

264

13

57

20.307692

0.799107

0

0.32197

0

1

0.125

false

0

0.125

0

0.375

0

null

0

null

0

1

0

446a9b413000d786cd15da4f54dc59cd09eba6bf

9,450

py

Python

catan-simulator/src/Api/Catan.py

williamaredal/Catan-Simulator

27b5fa2bb77554fc5dfc67286899a70d3c41aeb4

[ "MIT" ]

null

catan-simulator/src/Api/Catan.py

williamaredal/Catan-Simulator

27b5fa2bb77554fc5dfc67286899a70d3c41aeb4

[ "MIT" ]

null

catan-simulator/src/Api/Catan.py

williamaredal/Catan-Simulator

27b5fa2bb77554fc5dfc67286899a70d3c41aeb4

[ "MIT" ]

null

from collections import Counter from random import choice import numpy as np # Figuring out the roads to victory requiring the minimum number of cards to achieve victory in catan class Ledger: def __init__( self, victoryPointCondition=10, villageSettlement=1, citySettlement=2, startVillages=...

31.605351

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0.610899

792

9,450

7.27904

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0.006245

0.011448

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0.151605

0.138248

0.116739

0

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0.295238

9,450

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154

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0.848499

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0

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0

1

0.069565

false

0

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0

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0.034783

0

null

0

null

0

1

0

446aff1f81c23a0f38cd568dd2d43f6846714b6e

29,745

py

Python

client_server_test INHERIT/LocalModel.py

hades208002/mdp-project

c242a8d00412cc3772d298986977f6acc47002ee

[ "MIT" ]

null

client_server_test INHERIT/LocalModel.py

hades208002/mdp-project

c242a8d00412cc3772d298986977f6acc47002ee

[ "MIT" ]

null

client_server_test INHERIT/LocalModel.py

hades208002/mdp-project

c242a8d00412cc3772d298986977f6acc47002ee

[ "MIT" ]

null

# Import all the useful libraries import numpy as np import pandas as pd import fancyimpute from sklearn import model_selection from sklearn.model_selection import StratifiedKFold from sklearn.ensemble import AdaBoostClassifier # PROBABILITY from sklearn.tree import DecisionTreeClassifier # PROBABILITY from sklearn....

59.49

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29,745

4.938949

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0.034156

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0.474976

0.449138

0.425717

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0

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0.800634

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0

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0

1

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false

0

0.127451

0

0.24183

0.124183

0

null

0

null

0

1

0

446b4021141854c01eb8346f6d3902a45b8ff171

4,455

py

Python

get_weibo.py

SUIBE-Blockchain/Data-Crawler-Practice

46f4b98f05923ab534e28e51456c87efc33dbb8d

[ "Apache-2.0" ]

1

2021-10-05T05:52:39.000Z

get_weibo.py

SUIBE-Blockchain/Data-Crawler-Practice

46f4b98f05923ab534e28e51456c87efc33dbb8d

[ "Apache-2.0" ]

null

get_weibo.py

SUIBE-Blockchain/Data-Crawler-Practice

46f4b98f05923ab534e28e51456c87efc33dbb8d

[ "Apache-2.0" ]

7

2020-08-09T09:52:15.000Z

2020-08-16T08:04:02.000Z

import sys from bs4 import BeautifulSoup import re import urllib.request, urllib.error import xlwt # 进行Excel操作 import time def main(): Baseurl = 'https://weibo.cn/thepapernewsapp?page=' # 1.爬取网页 datalist = getdata(Baseurl) #IDlence = (len(datalist) - 1) savepath = "澎湃新闻.xls" # 3...

28.928571

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0.13

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0

null

0

null

0

1

0

446d377b81da3c67728272ccd4cb25650010c8a7

549

py

Python

unittests/check_external_packages.py

davidharvey1986/rrg

26b4658f14279af21af1a61d57e9936daf315a71

[ "MIT" ]

2

2019-11-18T12:51:09.000Z

2019-12-11T03:13:51.000Z

unittests/check_external_packages.py

davidharvey1986/rrg

26b4658f14279af21af1a61d57e9936daf315a71

[ "MIT" ]

5

2017-06-09T10:06:27.000Z

2019-07-19T11:28:18.000Z

unittests/check_external_packages.py

davidharvey1986/rrg

26b4658f14279af21af1a61d57e9936daf315a71

[ "MIT" ]

2

2017-07-19T15:48:33.000Z

2017-08-09T16:07:20.000Z

import subprocess def check_external_packages(): try: stilts_path = subprocess.check_output(['which','stilts.sh']) except: raise ValueError('Cannot find STILTS please install and ensure it is in the shell path') try: stilts_path = subprocess.check_output(['which','sex']) ...

27.45

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549

5.308824

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0.127424

0.526316

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0

0.245902

549

19

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0

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0

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false

0

0.285714

0

0.357143

0

null

0

null

0

1

0

446d5bb17dd8a928ca7451126fb10c9f182c9616

6,084

py

Python

2020/day16/day16ab.py

jeremy-frank/advent-of-code

6a9dd284f0e67fea694548f1545402c579ef3f08

[ "MIT" ]

null

2020/day16/day16ab.py

jeremy-frank/advent-of-code

6a9dd284f0e67fea694548f1545402c579ef3f08

[ "MIT" ]

null

2020/day16/day16ab.py

jeremy-frank/advent-of-code

6a9dd284f0e67fea694548f1545402c579ef3f08

[ "MIT" ]

null

""" day16ab - https://adventofcode.com/2020/day/16 --- Day 16: Ticket Translation --- * Part 1 Three input files: the rules for ticket fields the numbers on your ticket the numbers on other nearby tickets The rules for ticket fields specify a list of fields that exist somewhere on the ticket and the valid r...

28.971429

100

0.619001

825

6,084

4.431515

0.254545

0.064004

0.035558

0.02407

0.180525

0.091904

0.059081

0

0.024666

0.286982

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209

101

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0.335141

0

0.150943

0

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0

1

0.056604

false

0

0.113208

0.132075

0

null

0

null

0

1

0

446f6522d2f68fb06ab1adc22f7cb83ad19c1bfc

712

py

Python

docs/blog/2017/0610.py

CylonOven/blog

ddc560edb0445f950b39d441b569ef2258abc2d6

[ "BSD-2-Clause" ]

null

docs/blog/2017/0610.py

CylonOven/blog

ddc560edb0445f950b39d441b569ef2258abc2d6

[ "BSD-2-Clause" ]

null

docs/blog/2017/0610.py

CylonOven/blog

ddc560edb0445f950b39d441b569ef2258abc2d6

[ "BSD-2-Clause" ]

null

import random random.seed("lel") class table(object): changes= { '1':"@", '0':" " } def __init__(self, lists): self.data = lists @classmethod def gen_matix(cls, x, y): return cls( [ [random.choice((1,0)) for y in range(y)] for x in range(x) ...

20.342857

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0.463483

85

712

3.764706

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0.1875

0.10625

0.1125

0

0.019824

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712

35

67

20.342857

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0

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0

0.029453

0

1

0.111111

false

0

0.037037

0.259259

0.037037

0

null

0

null

0

1

0

447144dab05f58bb3666adc6c76ca187a3b6abdf

2,116

py

Python

Firefly.py

iglennrogers/swarm_pyside

8930f668473c5f9b399c29661295be47f31b9164

[ "BSD-2-Clause" ]

null

Firefly.py

iglennrogers/swarm_pyside

8930f668473c5f9b399c29661295be47f31b9164

[ "BSD-2-Clause" ]

null

Firefly.py

iglennrogers/swarm_pyside

8930f668473c5f9b399c29661295be47f31b9164

[ "BSD-2-Clause" ]

null

import PySide.QtGui as QtGui import PySide.QtCore as QtCore import GravitionalObject as go class Firefly(go.GravitationalObject): def __init__(self): super(Firefly, self).__init__() self._acc = QtCore.QPointF() self._vel = QtCore.QPointF() self._pos = QtCore.QPointF() ...

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4475eccd120177058a082a3f92db22d0104dd277

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py

Python

sasoptpy/abstract/parameter.py

jld23/sasoptpy

f96911f04d6c0c01fce902f1f995935583df69a8

[ "Apache-2.0" ]

20

2017-12-22T18:29:55.000Z

2021-09-12T15:04:39.000Z

sasoptpy/abstract/parameter.py

jld23/sasoptpy

f96911f04d6c0c01fce902f1f995935583df69a8

[ "Apache-2.0" ]

9

2019-01-24T14:52:33.000Z

2022-03-16T14:14:35.000Z

sasoptpy/abstract/parameter.py

jld23/sasoptpy

f96911f04d6c0c01fce902f1f995935583df69a8

[ "Apache-2.0" ]

12

2017-12-22T19:37:16.000Z

2021-07-30T21:04:03.000Z

#!/usr/bin/env python # encoding: utf-8 # # Copyright SAS Institute # # 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 b...

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py

Python

day-03/automatic-pizza-order-program.py

swokyisalreadytaken/100-Days-of-Code-in-Python

269c99a481b94248454114c051fafa8f52697332

[ "Unlicense" ]

1

2021-08-13T23:46:20.000Z

day-03/automatic-pizza-order-program.py

swokyisalreadytaken/100-Days-of-Code-in-Python

269c99a481b94248454114c051fafa8f52697332

[ "Unlicense" ]

null

day-03/automatic-pizza-order-program.py

swokyisalreadytaken/100-Days-of-Code-in-Python

269c99a481b94248454114c051fafa8f52697332

[ "Unlicense" ]

null

# build an automatic pizza order program. # ask the user the size and extra ingredients inputs print("Welcome to Python Pizza Deliveries!") size = input("What size pizza do you want? S, M, or L \n") add_pepperoni = input("Do you want pepperoni? Y or N \n") extra_cheese = input("Do you want extra cheese? Y or N \n") # ...

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44809a2040f353f40337b79e36aebadd2135b1f0

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py

Python

WindowOperators.py

zatricion/Streams

d2f688e230b4cb325d5f76886a7499d132591bd4

[ "MIT" ]

null

WindowOperators.py

zatricion/Streams

d2f688e230b4cb325d5f76886a7499d132591bd4

[ "MIT" ]

null

WindowOperators.py

zatricion/Streams

d2f688e230b4cb325d5f76886a7499d132591bd4

[ "MIT" ]

null

from Agent import * from Stream import * from MergeSplitOpStructures import * def window_many_to_many(f, in_streams, num_out_streams, window_size, step_size, state=None): def transition(in_lists, state=None): range_out = range((num_out_streams)) range_in = range(len(in_streams)) output_list...

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null

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null

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4482d252ebee04a4fe3a2d16129164bc0d1de4ec

623

py

Python

frontend_command.py

privacyrespected/Alpha

60ffdb73b334e37a87be119ce881d084aef8d7a1

[ "Apache-2.0" ]

null

frontend_command.py

privacyrespected/Alpha

60ffdb73b334e37a87be119ce881d084aef8d7a1

[ "Apache-2.0" ]

null

frontend_command.py

privacyrespected/Alpha

60ffdb73b334e37a87be119ce881d084aef8d7a1

[ "Apache-2.0" ]

null

#this files process commands entered through the front end from modules.sense import * from modules.mainsystem import * def Pcommand(command): command=command.lower() if command.startswith("speak"): #speak function to debug command=command.replace("","speak") speak(command) elif command.star...

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null

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4483b0857e8241cf5117ec7285f536dc85720d7e

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py

Python

swamp/mr/tests/test_mrjob.py

rigdenlab/SWAMP

3e93ab27f4acf0124f7cb2d78a151cc3352b9c6e

[ "BSD-3-Clause" ]

2

2020-02-15T11:06:34.000Z

2020-04-10T08:48:49.000Z

swamp/mr/tests/test_mrjob.py

rigdenlab/SWAMP

3e93ab27f4acf0124f7cb2d78a151cc3352b9c6e

[ "BSD-3-Clause" ]

15

2020-02-04T10:56:07.000Z

2021-02-12T09:11:03.000Z

swamp/mr/tests/test_mrjob.py

rigdenlab/SWAMP

3e93ab27f4acf0124f7cb2d78a151cc3352b9c6e

[ "BSD-3-Clause" ]

4

2020-02-04T13:25:09.000Z

2022-03-23T13:44:17.000Z

import os import dill import unittest import collections from pyjob import Script from swamp.utils import remove from swamp.mr.mrjob import MrJob RESULTS = collections.namedtuple('results', ['results']) WORKDIR = os.path.join(os.environ['CCP4_SCR'], 'test_workdir') class MrJobTestCase(unittest.TestCase): def te...

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44844a84b744658a244c29556a18ff7de739bdd6

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py

Python

distil/active_learning_strategies/partition_strategy.py

ansunsujoe/distil

cf6cae2b88ef129d09c159aae0569978190e9f98

[ "MIT" ]

83

2021-01-06T06:50:30.000Z

2022-03-31T05:16:32.000Z

distil/active_learning_strategies/partition_strategy.py

ansunsujoe/distil

cf6cae2b88ef129d09c159aae0569978190e9f98

[ "MIT" ]

30

2021-02-27T06:09:47.000Z

2021-12-23T11:03:36.000Z

distil/active_learning_strategies/partition_strategy.py

ansunsujoe/distil

cf6cae2b88ef129d09c159aae0569978190e9f98

[ "MIT" ]

13

2021-03-05T18:26:58.000Z

2022-03-12T01:53:17.000Z

import math import numpy as np from torch.utils.data import Subset from .strategy import Strategy class PartitionStrategy(Strategy): """ Provides a wrapper around most of the strategies implemented in DISTIL that allows one to select portions of the budget from specific partitions of the unlabeled d...

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null

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py

Python

lib/lib_constant.py

NingAnMe/GFSSI

066ac3dcffe04927aa497ee8b2257bee3ec3789a

[ "MIT" ]

1

2020-08-18T08:05:35.000Z

lib/lib_constant.py

NingAnMe/GFSSI

066ac3dcffe04927aa497ee8b2257bee3ec3789a

[ "MIT" ]

null

lib/lib_constant.py

NingAnMe/GFSSI

066ac3dcffe04927aa497ee8b2257bee3ec3789a

[ "MIT" ]

1

2020-08-26T06:50:59.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ @Time : 2019/8/2 @Author : AnNing """ import os from lib.lib_path import get_aid_path, GFSSI_DIR aid_path = get_aid_path() # 无效数据的填充值 FULL_VALUE = -999 # 辅助文件 BASEMAP_FY4_4KM = os.path.join(aid_path, 'ditu_fy4a_4km.png') LON_LAT_LUT_FY4_4KM = os.path.join(aid_pat...

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py

Python

fondo_api/tests/runner.py

Fonmon/Fondo-API

0c78eaab259df18219c01fceb67bd1b6ff8ec941

[ "MIT" ]

null

fondo_api/tests/runner.py

Fonmon/Fondo-API

0c78eaab259df18219c01fceb67bd1b6ff8ec941

[ "MIT" ]

48

2018-01-13T14:52:52.000Z

2022-03-13T17:41:42.000Z

fondo_api/tests/runner.py

Fonmon/Fondo-API

0c78eaab259df18219c01fceb67bd1b6ff8ec941

[ "MIT" ]

null

import logging from django.test.runner import DiscoverRunner class TestRunner(DiscoverRunner): """ When migrations are disabled for the test runner, the `pre_migrate` signal does not emit. So we need another hook for installing the extension. Prior to Django 1.9, the `pre_syncdb` signal worked for that. ...

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null

0

null

0

1

0

448774b167c44c150d8ea3fd24f5266556ab412f

460

py

Python

Diffusion of Infection and Campus Evacuation/parameters.py

dem123456789/Computer-Simulation

ec61bdd7ca767f631ef190c1248690bd65327302

[ "MIT" ]

2

2016-07-03T05:19:20.000Z

2021-03-07T04:39:07.000Z

Diffusion of Infection and Campus Evacuation/parameters.py

dem123456789/Computer-Simulation

ec61bdd7ca767f631ef190c1248690bd65327302

[ "MIT" ]

null

Diffusion of Infection and Campus Evacuation/parameters.py

dem123456789/Computer-Simulation

ec61bdd7ca767f631ef190c1248690bd65327302

[ "MIT" ]

null

import math DEBUG = 1 PARKING_NODE_COLOR = '#FF0099' EXIT_NODE_COLOR = 'r' STREET_NODE_COLOR = 'g' COP_NODE_COLOR = '#3c3ccc' VISUAL = 1 COP_MODE = 0 COP_INTERSECTION_THRESHOLD = 0 COP_CONGESTION_THRESHOLD = 0.5 COP_EVACUATION_THRESHOLD = 0 DEPTH_OF_AWARENESS = 1 EAST_TENDENCY = 0 SPACE_TIME_TRADEOFF = 1 DEAD_END = [] ...

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448bc1e703300278885ac596fbdec39b730d307d

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py

Python

constrained_language_typology/plot_languages_main.py

deepneuralmachine/google-research

d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231

[ "Apache-2.0" ]

23,901

2018-10-04T19:48:53.000Z

2022-03-31T21:27:42.000Z

constrained_language_typology/plot_languages_main.py

deepneuralmachine/google-research

d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231

[ "Apache-2.0" ]

891

2018-11-10T06:16:13.000Z

2022-03-31T10:42:34.000Z

constrained_language_typology/plot_languages_main.py

deepneuralmachine/google-research

d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231

[ "Apache-2.0" ]

6,047

2018-10-12T06:31:02.000Z

2022-03-31T13:59:28.000Z

# coding=utf-8 # Copyright 2021 The Google Research 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 applicab...

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null

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null

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448ce569784ffe842d7c48946cdd94821413b192

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py

Python

experiments/cartpole_dqn.py

jkulhanek/deep-rl-pytorch

6fa7ceee8524f002d4a8d93295b231f6b9b7c29c

[ "MIT" ]

7

2019-03-24T19:51:11.000Z

2022-01-27T17:20:29.000Z

experiments/cartpole_dqn.py

jkulhanek/deep-rl-pytorch

6fa7ceee8524f002d4a8d93295b231f6b9b7c29c

[ "MIT" ]

null

experiments/cartpole_dqn.py

jkulhanek/deep-rl-pytorch

6fa7ceee8524f002d4a8d93295b231f6b9b7c29c

[ "MIT" ]

4

2020-04-11T01:06:24.000Z

2021-07-18T01:22:36.000Z

import gym import torch.nn as nn import torch.nn.functional as F import numpy as np import deep_rl.deepq as deepq from deep_rl import register_trainer class Model(nn.Module): def __init__(self): super().__init__() def init_weights(m): if type(m) == nn.Linear: nn.init....

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0

null

0

null

0

1

0

448f5af76ad0cc20a0a28294b6c5340ad6385f98

1,063

py

Python

setup.py

pymgrit/pymgrit

40eca08cedf486de22604279b4add87086b7d3cc

[ "MIT" ]

6

2020-04-24T13:14:17.000Z

2022-03-09T14:16:51.000Z

setup.py

pymgrit/pymgrit

40eca08cedf486de22604279b4add87086b7d3cc

[ "MIT" ]

6

2020-03-24T09:03:05.000Z

2021-08-02T13:31:39.000Z

setup.py

pymgrit/pymgrit

40eca08cedf486de22604279b4add87086b7d3cc

[ "MIT" ]

4

2020-06-09T21:11:19.000Z

2021-06-27T11:34:58.000Z

from setuptools import setup, find_packages install_requires = [ 'numpy>=1.17.0', 'scipy>=1.4.1', 'mpi4py>=3.0', 'matplotlib>=3.1.3' ] extras_requires = { 'docs': [ 'sphinx' ], 'tests': [ 'tox', ] } def long_description(): with open('README.rst') as f: ret...

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0

null

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null

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4490ad67efce400919429713bee906671961ca09

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py

Python

mod6_lab1.py

KMSkelton/pyPrac

11cec31d4cc1cbb890f89324a10f4daf66376de0

[ "MIT" ]

1

2017-08-08T20:38:27.000Z

mod6_lab1.py

KMSkelton/pyPrac

11cec31d4cc1cbb890f89324a10f4daf66376de0

[ "MIT" ]

1

2018-08-15T22:26:29.000Z

mod6_lab1.py

KMSkelton/pyPrac

11cec31d4cc1cbb890f89324a10f4daf66376de0

[ "MIT" ]

null

# Update the code to have a function that reads in the file and returns contents as a list def open_sample_func(sample_text): with open(sample_text) as file: lines = file.readlines() return lines # Update the code to have a function that converts the list of book lines into a list of the words def ...

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0

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0

null

0

null

0

1

0

44911cbbd93bdb5beaecefc59e565353a88e30d2

1,439

py

Python

volume/pipeline.py

Napam/INF399-Master-Evaluation

d6e66397ae6951cffae65ddd41979bab367abdb8

[ "MIT" ]

1

2021-05-31T13:32:09.000Z

volume/pipeline.py

Napam/INF399-Master-Evaluation

d6e66397ae6951cffae65ddd41979bab367abdb8

[ "MIT" ]

null

volume/pipeline.py

Napam/INF399-Master-Evaluation

d6e66397ae6951cffae65ddd41979bab367abdb8

[ "MIT" ]

null

import glob, os from cococonvert import convert_csv_labels, convert_csv_outputs from cocoeval import COCO, COCOeval import sys class StdoutRedirection: """Standard output redirection context manager""" def __init__(self, path): self._path = path def __enter__(self): sys.stdout = open(se...

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0

null

0

null

0

1

0

4492af236eff4aa2e983034e070713b3b4e8e677

3,076

py

Python

play.py

brandoFranco/tictactoeOpenCV

60eaa9c028cdfe13e68124de4037b39fcfa7432c

[ "MIT" ]

null

play.py

brandoFranco/tictactoeOpenCV

60eaa9c028cdfe13e68124de4037b39fcfa7432c

[ "MIT" ]

null

play.py

brandoFranco/tictactoeOpenCV

60eaa9c028cdfe13e68124de4037b39fcfa7432c

[ "MIT" ]

null

# # Jogo da Velha utilizando Visao Computacional e Realidade aumentada. # Definicao de funcoes auxiliares # import numpy as np # Funcao que verifica se e o fim do jogo. def won(tabuleiro): if (tabuleiro[0] == tabuleiro[1] == tabuleiro[2] == 0): return 1 elif (tabuleiro[0] == tabuleiro[3] == tabuleiro...

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0

null

0

null

0

1

0

4492b1a697142e5525ad3f5dfe95027989301553

1,407

py

Python

src/main.py

TomoTom0/DiscordBot_Heroku_Stat.ink

458ad08fb53a83b8fa96dad25fd603c9d14722b2

[ "MIT" ]

1

2020-11-12T04:26:30.000Z

src/main.py

TomoTom0/DiscordBot_Heroku_Stat.ink

458ad08fb53a83b8fa96dad25fd603c9d14722b2

[ "MIT" ]

null

src/main.py

TomoTom0/DiscordBot_Heroku_Stat.ink

458ad08fb53a83b8fa96dad25fd603c9d14722b2

[ "MIT" ]

4

2020-11-14T14:53:30.000Z

2021-07-05T11:36:59.000Z

#! /usr/bin/env python3 import discord from discord.ext import commands import subprocess import re import os, sys import json import basic import datetime import traceback import iksm_discord TOKEN = basic.DISCORD_TOKENS["0"] startup_extensions = ["splat"] # cogの導入 description = f"stat.inkへ戦績自動アップロードを行うbotです。\nまずはs...

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null

0

null

0

1

0

44932b7c61cbe0cddbdb7086477b87d6e2cfcb5d

1,019

py

Python

tls/Alerts.py

anuraagbaishya/tls1.3

e86b575431694fe4ea987cdb89ef3438f7f28360

[ "MIT" ]

null

tls/Alerts.py

anuraagbaishya/tls1.3

e86b575431694fe4ea987cdb89ef3438f7f28360

[ "MIT" ]

null

tls/Alerts.py

anuraagbaishya/tls1.3

e86b575431694fe4ea987cdb89ef3438f7f28360

[ "MIT" ]

null

from tls.CustomEnums import UInt8Enum class Alert(Exception): def __init__(self, level, description): self.level = level self.description = description class AlertLevel(UInt8Enum): warning = 1 fatal = 2 class AlertDescription(UInt8Enum): close_notify = 0 unexpected_message = 10...

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0.944444

0

null

0

null

0

1

0

4494889d1e0dfebc5119191d7266469bf0009a3a

21,922

py

Python

ProjectSurveillance/views.py

psymen145/OVS-django-fe

1823e8b42c17276d6b50a63dddd9b04a21c2038c

[ "MIT" ]

null

ProjectSurveillance/views.py

psymen145/OVS-django-fe

1823e8b42c17276d6b50a63dddd9b04a21c2038c

[ "MIT" ]

null

ProjectSurveillance/views.py

psymen145/OVS-django-fe

1823e8b42c17276d6b50a63dddd9b04a21c2038c

[ "MIT" ]

null

from django.shortcuts import render, get_object_or_404, redirect from django.http import HttpResponse, JsonResponse, Http404 from django.contrib.auth.decorators import login_required from django.core.exceptions import ObjectDoesNotExist from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger from ...

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21,922

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0

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0.027248

0

null

0

null

0

1

0

4497d26024dfdc2730aaaf21bcb0e80805684f50

7,806

py

Python

optur/storages/backends/mysql.py

ytsmiling/optur

cbc56c60b322ea764592f01758798f745199b455

[ "MIT" ]

1

2022-01-19T09:18:15.000Z

optur/storages/backends/mysql.py

ytsmiling/optur

cbc56c60b322ea764592f01758798f745199b455

[ "MIT" ]

null

optur/storages/backends/mysql.py

ytsmiling/optur

cbc56c60b322ea764592f01758798f745199b455

[ "MIT" ]

null

import time from typing import Any, Callable, List, Optional from google.protobuf.timestamp_pb2 import Timestamp from optur.errors import NotFoundError from optur.proto.study_pb2 import StudyInfo from optur.proto.study_pb2 import Trial as TrialProto from optur.storages.backends.backend import StorageBackend def _re...

37.893204

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7,806

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0.527647

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0.289225

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0.005405

0.178378

0

null

0

null

0

1

0

449998dcb11c693a0012e9960aaba5d1b4901d48

1,394

py

Python

pymclevel/test/templevel.py

bennettdc/MCEdit-Unified

90abfb170c65b877ac67193e717fa3a3ded635dd

[ "0BSD" ]

237

2018-02-04T19:13:31.000Z

2022-03-26T03:06:07.000Z

pymclevel/test/templevel.py

bennettdc/MCEdit-Unified

90abfb170c65b877ac67193e717fa3a3ded635dd

[ "0BSD" ]

551

2015-01-01T02:36:53.000Z

2018-02-01T00:03:12.000Z

pymclevel/test/templevel.py

bennettdc/MCEdit-Unified

90abfb170c65b877ac67193e717fa3a3ded635dd

[ "0BSD" ]

97

2015-01-02T01:31:12.000Z

2018-01-22T05:37:47.000Z

import atexit import os from os.path import join import shutil import tempfile from pymclevel import mclevel __author__ = 'Rio' tempdir = os.path.join(tempfile.gettempdir(), "pymclevel_test") if not os.path.exists(tempdir): os.mkdir(tempdir) def mktemp(suffix): td = tempfile.mkdtemp(suffix, dir=tempdir) ...

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1,394

55

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0

null

0

null

0

1

0

449a09fa6cac651fdb37c7759dc5ded62edc72b2

5,157

py

Python

dags/oss_know/libs/github/init_profiles.py

HexaemeronFsk/airflow-jobs

674f4c15f6889653bf5578117b085ef794c7b3f4

[ "Apache-2.0" ]

null

dags/oss_know/libs/github/init_profiles.py

HexaemeronFsk/airflow-jobs

674f4c15f6889653bf5578117b085ef794c7b3f4

[ "Apache-2.0" ]

null

dags/oss_know/libs/github/init_profiles.py

HexaemeronFsk/airflow-jobs

674f4c15f6889653bf5578117b085ef794c7b3f4

[ "Apache-2.0" ]

null

import itertools from loguru import logger from opensearchpy.helpers import scan as os_scan from oss_know.libs.base_dict.opensearch_index import OPENSEARCH_INDEX_GITHUB_COMMITS, \ OPENSEARCH_INDEX_GITHUB_ISSUES_TIMELINE from oss_know.libs.util.opensearch_api import OpensearchAPI from oss_know.libs.util.base import ...

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null

0

null

0

1

0

922098fba0782c8cc0b4f538f40dc425f77aa77a

1,457

py

Python

image_extractor.py

satrajit-chatterjee/DeXpression-PyTorch

00100385145485cf00b0a1cc53154db623c8a14f

[ "MIT" ]

6

2019-01-18T02:34:21.000Z

2022-03-22T13:37:11.000Z

image_extractor.py

satrajit-chatterjee/DeXpression-PyTorch

00100385145485cf00b0a1cc53154db623c8a14f

[ "MIT" ]

3

2019-01-18T02:44:13.000Z

2019-12-16T14:32:55.000Z

image_extractor.py

satrajit-chatterjee/DeXpression-PyTorch

00100385145485cf00b0a1cc53154db623c8a14f

[ "MIT" ]

1

2022-03-14T03:29:47.000Z

import glob from shutil import copyfile emotions = ["neutral", "anger", "contempt", "disgust", "fear", "happy", "sadness", "surprise"] # Define emotion order participants = glob.glob("source_emotion\\*") # Returns a list of all folders with participant numbers for x in participants: part = "%s" % x[-4:] ...

60.708333

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1,457

23

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0

null

0

null

0

1

0

92232435b0e0b41e1bc75ad98de9764440370bab

13,549

py

Python

resultr_format/__init__.py

haykkh/resultr-format

8188a9b9a011899a58be54c8036edc9207e63948

[ "MIT" ]

null

resultr_format/__init__.py

haykkh/resultr-format

8188a9b9a011899a58be54c8036edc9207e63948

[ "MIT" ]

null

resultr_format/__init__.py

haykkh/resultr-format

8188a9b9a011899a58be54c8036edc9207e63948

[ "MIT" ]

null

#!/usr/bin/env python3 """ Makes UCL PHAS results better """ __author__ = "Hayk Khachatryan" __version__ = "0.1.4.4" __license__ = "MIT" import argparse import csv import sys import itertools import pathlib as pathlib import inquirer ######################### # # # # # ...

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0.016854

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null

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null

0

1

0

922361dea1d8463d9ea2c90bf6568fee4603b6fb

14,689

py

Python

ml_boilerplate/preprocess/generic_pipeline.py

mcraig2/ml_boilerplate

5373f593b76fb115fb7a80dc9b87c633a3fcde48

[ "MIT" ]

null

ml_boilerplate/preprocess/generic_pipeline.py

mcraig2/ml_boilerplate

5373f593b76fb115fb7a80dc9b87c633a3fcde48

[ "MIT" ]

null

ml_boilerplate/preprocess/generic_pipeline.py

mcraig2/ml_boilerplate

5373f593b76fb115fb7a80dc9b87c633a3fcde48

[ "MIT" ]

null

""" The Pipeline object in sci-kit learn is very useful for constructing simple and complex modeling pipelines. However, out of the box it is cumbersome to build pipelines that involve heterogenous data. Most transformers assume that the entirety of the input datasets are of the same dtype. So, how do y...

38.054404

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14,689

4.975834

0.20023

0.014801

0.013529

0.019426

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0.173797

0.16339

0.113552

0.088113

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14,689

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false

0.006024

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0

0.421687

0.006024

0

null

0

null

0

1

0

92248f27e069d6c0f5243445c0b5840242d3af37

455

py

Python

provider/urls.py

Creationeers/Django_Barebone_Rest

f7e414575a5e6ff6324cef7e4ceccac0775eba78

[ "Apache-2.0" ]

null

provider/urls.py

Creationeers/Django_Barebone_Rest

f7e414575a5e6ff6324cef7e4ceccac0775eba78

[ "Apache-2.0" ]

7

2020-05-14T23:03:48.000Z

2022-02-10T08:49:02.000Z

provider/urls.py

Creationeers/Django_Barebone_Rest

f7e414575a5e6ff6324cef7e4ceccac0775eba78

[ "Apache-2.0" ]

null

from django.urls import path, include from rest_framework_simplejwt import views as jwt_views from .views import (RegisterUserView) AUTH_PATTERNS = [ path('token/', jwt_views.TokenObtainPairView.as_view(), name='token-obtain'), path('token/refresh/', jwt_views.TokenRefreshView.as_view(), name='token-refresh') ...

35

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455

5.857143

0.446429

0.073171

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0

0.112088

455

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87

35

0.811881

0

0.157895

0

1

0

false

0

0.272727

0

0.272727

0

null

0

null

0

1

0

92278d4c99a794fc39f30624185168097ec4b202

1,400

py

Python

url_fetcher.py

netarachelhershko/crawler

22a5b41a768fae7415ad30cc6aec97063f2d07ce

[ "MIT" ]

null

url_fetcher.py

netarachelhershko/crawler

22a5b41a768fae7415ad30cc6aec97063f2d07ce

[ "MIT" ]

null

url_fetcher.py

netarachelhershko/crawler

22a5b41a768fae7415ad30cc6aec97063f2d07ce

[ "MIT" ]

null

from html_url_extractor import HtmlUrlExtractor from request_getter import RequestGetter from sitemap_fetcher import SitemapFetcher from urlparse import urljoin class UrlFetcher(object): """ Handles url fetching from both html source and sitemaps """ def __init__(self, request_limit=10): self.html_url...

40

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0.712143

176

1,400

5.375

0.318182

0.07611

0.05074

0.044397

0.065539

0

0.001832

0.22

1,400

34

99

41.176471

0.864469

0.129286

0

1

0.166667

false

0

0.166667

0

0.458333

0

null

0

null

0

1

0

9227e595e3c40b1cac183a271ef1634007be821b

7,207

py

Python

lib/db.py

IoTtalk/os-IoTtalk

3c8609d10fcad040e3de727216507d0369be4cd0

[ "MIT" ]

2

2021-06-28T13:25:54.000Z

2021-07-27T08:43:38.000Z

lib/db.py

IoTtalk/IoTtalk

3c8609d10fcad040e3de727216507d0369be4cd0

[ "MIT" ]

1

2021-11-24T09:15:40.000Z

2021-11-24T13:51:23.000Z

lib/db.py

IoTtalk/IoTtalk

3c8609d10fcad040e3de727216507d0369be4cd0

[ "MIT" ]

null

from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import Session from ec_config import SQLITE_PATH, MYSQL_HOST, MYSQL_USER, MYSQL_PASS Base = declarative_base() engine = None def connect(db_name): global engine if db_name.startswith('sqlite:'):...

42.146199

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0.686971

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7,207

5.430716

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0.154795

0.095684

0.100999

0.630023

0.54646

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0.432915

0.375505

0.319371

0

0.007669

0.167754

7,207

170

123

42.394118

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0

1

0.022901

false

0.022901

0.053435

0

0.89313

0

null

0

null

0

1

0

922960e3fb0974ea30b7500861328def7470c6f3

783

py

Python

PraticandoKivy/aula1.py

AlexandrePeBrito/Python

79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0

[ "MIT" ]

null

PraticandoKivy/aula1.py

AlexandrePeBrito/Python

79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0

[ "MIT" ]

null

PraticandoKivy/aula1.py

AlexandrePeBrito/Python

79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0

[ "MIT" ]

null

from kivy.app import App from kivy.uix.behaviors import button from kivy.uix.button import Button from kivy.uix.boxlayout import BoxLayout from kivy.uix.label import Label class teste(App): def build(self): #Interface box = BoxLayout( orientation='vertical') button=Butt...

27.964286

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0.0818

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0

0.020942

0.268199

783

27

87

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0

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0

1

0.05

false

0

0.25

0

0.4

0

null

0

null

0

1

0

922ad101e021f8b01709397177dc8e329b180e68

1,798

py

Python

karbor-1.3.0/karbor/tests/unit/fake_operation_log.py

scottwedge/OpenStack-Stein

7077d1f602031dace92916f14e36b124f474de15

[ "Apache-2.0" ]

1

2021-05-23T01:48:25.000Z

karbor-1.3.0/karbor/tests/unit/fake_operation_log.py

scottwedge/OpenStack-Stein

7077d1f602031dace92916f14e36b124f474de15

[ "Apache-2.0" ]

5

2019-08-14T06:46:03.000Z

2021-12-13T20:01:25.000Z

karbor-1.3.0/karbor/tests/unit/fake_operation_log.py

scottwedge/OpenStack-Stein

7077d1f602031dace92916f14e36b124f474de15

[ "Apache-2.0" ]

2

2020-03-15T01:24:15.000Z

2020-07-22T20:34:26.000Z

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

39.086957

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1,798

5.180617

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0.095238

0.027211

0

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1,798

45

79

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0

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0.232821

0

1

0.035714

false

0

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0.142857

0

null

0

null

0

1

0

922bba1b4a76b2a553064b7df320dfa6750e6b3c

2,776

py

Python

stage_check/stage_check/OutputRedundancyDatabaseConn.py

128technology/stage_check

2c9cdc491bafbcc6ed1a308093fe606dfd37da67

[ "MIT" ]

2

2020-05-26T15:13:47.000Z

2021-04-29T18:14:21.000Z

stage_check/stage_check/OutputRedundancyDatabaseConn.py

128technology/stage_check

2c9cdc491bafbcc6ed1a308093fe606dfd37da67

[ "MIT" ]

null

stage_check/stage_check/OutputRedundancyDatabaseConn.py

128technology/stage_check

2c9cdc491bafbcc6ed1a308093fe606dfd37da67

[ "MIT" ]

null

""" """ try: from stage_check import Output except ImportError: import Output class Base(Output.Base): """ """ def __init__(self): super().__init__() self.__full_name = "OutputRedundancyDatabaseConn.Base" self.status = Output.Status.OK """ no_node_data """ def proc_no_node_d...

19.828571

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0

0.434078

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null

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null

0

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9231baa109d9435fe051070cbdf5afd97866fc14

5,134

py

Python

graphlearn/python/nn/tf/app/link_predictor.py

gasdaf/graph-learn

4a77b39be37bb7507f0e9fb5d4ed40ca623b2ceb

[ "Apache-2.0" ]

1

2021-08-30T03:13:23.000Z

graphlearn/python/nn/tf/app/link_predictor.py

gasdaf/graph-learn

4a77b39be37bb7507f0e9fb5d4ed40ca623b2ceb

[ "Apache-2.0" ]

null

graphlearn/python/nn/tf/app/link_predictor.py

gasdaf/graph-learn

4a77b39be37bb7507f0e9fb5d4ed40ca623b2ceb

[ "Apache-2.0" ]

null

# Copyright 2020 Alibaba Group Holding Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...

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null

0

null

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1

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9231c9644edcc00c1f418f1e4bb4808e72a0d692

1,099

py

Python

torchtext/functional.py

parmeet/text

1fb2aedb48b5ecc5e81741e7c8504486b91655c6

[ "BSD-3-Clause" ]

null

torchtext/functional.py

parmeet/text

1fb2aedb48b5ecc5e81741e7c8504486b91655c6

[ "BSD-3-Clause" ]

null

torchtext/functional.py

parmeet/text

1fb2aedb48b5ecc5e81741e7c8504486b91655c6

[ "BSD-3-Clause" ]

null

import torch from torch import Tensor from torch.nn.utils.rnn import pad_sequence from typing import List, Optional __all__ = [ 'to_tensor', 'truncate', 'add_token', ] def to_tensor(input: List[List[int]], padding_value: Optional[int] = None) -> Tensor: if padding_value is None: output = torc...

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null

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null

0

1

0

92334af517a1402e63b55a3fe85da09a5408dc14

6,901

py

Python

python/GafferScene/ScriptProcedural.py

PaulDoessel/gaffer-play

8b72dabb388e12424c230acfb0bd209049b01bd6

[ "BSD-3-Clause" ]

1

2016-07-31T09:55:09.000Z

python/GafferScene/ScriptProcedural.py

Kthulhu/gaffer

8995d579d07231988abc92c3ac2788c15c8bc75c

[ "BSD-3-Clause" ]

null

python/GafferScene/ScriptProcedural.py

Kthulhu/gaffer

8995d579d07231988abc92c3ac2788c15c8bc75c

[ "BSD-3-Clause" ]

1

2020-02-15T16:15:54.000Z

########################################################################## # # Copyright (c) 2012, John Haddon. All rights reserved. # Copyright (c) 2013, Image Engine Design Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that ...

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null

0

null

0

1

0

923501e60d59a0a4529bbd2a7bc6300d6760071d

5,881

py

Python

tests/testapps/tests/test_models.py

salexkidd/django-stackstore-model

fb0bb6431dd772a80b8c9d6d2b625eae69562fa9

[ "MIT" ]

5

2020-05-28T07:04:25.000Z

2020-09-26T05:29:46.000Z

tests/testapps/tests/test_models.py

salexkidd/django-stackstore-model

fb0bb6431dd772a80b8c9d6d2b625eae69562fa9

[ "MIT" ]

1

2020-09-26T05:34:19.000Z

tests/testapps/tests/test_models.py

salexkidd/django-stackstore-model

fb0bb6431dd772a80b8c9d6d2b625eae69562fa9

[ "MIT" ]

null

from django.conf import settings from django.test import TestCase from django.test.utils import override_settings from copy import deepcopy from .. import models as testapps_models from .. import factories as testapps_factories class StackStoreManagerTest(TestCase): def test_delete(self): with self.asser...

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null

0

null

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0

9235169950838a2e17fec391196466cf8a8f8312

6,915

py

Python

docs/_downloads/d6b1e39143e3255799ec607967cb9223/sample.py

harishbalakrishnan3/Visual-Categorization

28c5fc4695fca931bb2a49697cf1776dae1e8259

[ "MIT" ]

null

docs/_downloads/d6b1e39143e3255799ec607967cb9223/sample.py

harishbalakrishnan3/Visual-Categorization

28c5fc4695fca931bb2a49697cf1776dae1e8259

[ "MIT" ]

null

docs/_downloads/d6b1e39143e3255799ec607967cb9223/sample.py

harishbalakrishnan3/Visual-Categorization

28c5fc4695fca931bb2a49697cf1776dae1e8259

[ "MIT" ]

1

2021-03-15T14:00:27.000Z

""" A sample python script that illustrates how to use the gcm module. As a first step, we need to find the model's parameters - c,w,b (we will assume r = 2). This is done using MLE. After we find the parameters, we use them to find the corresponding probabilities using the functions from the gcm module. The following ...

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0

null

0

null

0

1

0

923986f9bd14fbab28d2e07beb811c4e8f7e82e8

2,656

py

Python

5-Detection/SSD/utils/config.py

MaybeS/mnist

d0aeafce97d7308dc84adbb6ad8e547776db0cd5

[ "MIT" ]

8

2020-07-17T00:30:20.000Z

2021-06-15T07:14:55.000Z

5-Detection/SSD/utils/config.py

MaybeS/mnist

d0aeafce97d7308dc84adbb6ad8e547776db0cd5

[ "MIT" ]

null

5-Detection/SSD/utils/config.py

MaybeS/mnist

d0aeafce97d7308dc84adbb6ad8e547776db0cd5

[ "MIT" ]

2

2019-07-02T04:20:21.000Z

2019-07-16T06:51:13.000Z

import json from typing import Tuple, List class Config: """Config stack layers - Default config - Model default config - Load from config file - User argument config """ size = (300, 300) ssd_attributes = ['feature_map', 'steps', 'sizes', 'aspect_ratios'] ssd = { "aspec...

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0.014493

0

null

0

null

0

1

0

924075a62dfbc2884a5bde01f2ed7a11d0476d1c

3,019

py

Python

institutions/geo/models.py

sephcoster/mapusaurus

5515f0d89ff7b7cbc796af25b3d45950c8ed882f

[ "CC0-1.0" ]

null

institutions/geo/models.py

sephcoster/mapusaurus

5515f0d89ff7b7cbc796af25b3d45950c8ed882f

[ "CC0-1.0" ]

null

institutions/geo/models.py

sephcoster/mapusaurus

5515f0d89ff7b7cbc796af25b3d45950c8ed882f

[ "CC0-1.0" ]

null

import json from django.contrib.gis.db import models class Geo(models.Model): STATE_TYPE, COUNTY_TYPE, TRACT_TYPE, METRO_TYPE, MICRO_TYPE = range(1, 6) METDIV_TYPE, = range(6, 7) TYPES = [(STATE_TYPE, 'State'), (COUNTY_TYPE, 'County'), (TRACT_TYPE, 'Census Tract'), (METRO_TYPE, 'Metropolitan...

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null

0

null

0

1

0

924185f1b41185b073f99907c5347d88ec6b3ce8

2,798

py

Python

phone_dic_accent_archive.py

arcman7/cmu_sphinx

343ee1c08061d607cab6ba9ab738a1ac5a8b59d9

[ "MIT" ]

null

phone_dic_accent_archive.py

arcman7/cmu_sphinx

343ee1c08061d607cab6ba9ab738a1ac5a8b59d9

[ "MIT" ]

null

phone_dic_accent_archive.py

arcman7/cmu_sphinx

343ee1c08061d607cab6ba9ab738a1ac5a8b59d9

[ "MIT" ]

null

import collections import os counter = collections.Counter() dir_name = 'accent_archive' text_file_name = 'reading-passage.txt' print('creating dictionary from "{}"'.format(os.path.join(dir_name, 'AA_unpacked', text_file_name))) # The Accent Archive uses the same text transcript for every audio recording text ...

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null

0

null

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1

0

9242da30eb8cc1d9931d3a3bfc2731f59cc10a24

3,367

py

Python

Advanced Computer Vision & Deep Learning/Project-2_Image_Captioning/model.py

sudoberlin/Computer_Vision_ND

6211d0a610a26f6ed54116127588adb6ff4b7ba9

[ "Apache-2.0" ]

1

2020-08-09T19:49:38.000Z

Advanced Computer Vision & Deep Learning/Project-2_Image_Captioning/model.py

sudoberlin/Computer_Vision_ND

6211d0a610a26f6ed54116127588adb6ff4b7ba9

[ "Apache-2.0" ]

null

Advanced Computer Vision & Deep Learning/Project-2_Image_Captioning/model.py

sudoberlin/Computer_Vision_ND

6211d0a610a26f6ed54116127588adb6ff4b7ba9

[ "Apache-2.0" ]

null

import torch import torch.nn as nn import torchvision.models as models import torch.nn.functional as F import math class EncoderCNN(nn.Module): def __init__(self, embed_size): super(EncoderCNN, self).__init__() resnet = models.resnet50(pretrained=True) for param in resnet.parameters(): ...

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