xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

9dde6bfc80676d7c23483dae2cdebeb48e518e09

6,801

py

Python

spinel_wisun_utils.py

LaudateCorpus1/ti-wisunfan-pyspinel

5b911ef8319115fb2ef20a57358dd44733bed30a

[ "Apache-2.0" ]

2

2021-03-22T21:42:03.000Z

2021-09-01T09:12:43.000Z

spinel_wisun_utils.py

LaudateCorpus1/ti-wisunfan-pyspinel

5b911ef8319115fb2ef20a57358dd44733bed30a

[ "Apache-2.0" ]

1

2021-11-11T16:18:51.000Z

spinel_wisun_utils.py

LaudateCorpus1/ti-wisunfan-pyspinel

5b911ef8319115fb2ef20a57358dd44733bed30a

[ "Apache-2.0" ]

5

2021-08-18T03:15:32.000Z

2022-01-20T05:19:41.000Z

#!/usr/bin/env python # # # 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, soft...

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9ddef4eb6e5502bd565a0db158fed8bdc6d939f1

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py

Python

src/ModularChess/movements/EnPassant.py

ferranSanchezLlado/ModularChess

896fa192fd49f86062ea79dd0d3cbe7e5cdc9d6b

[ "MIT" ]

null

src/ModularChess/movements/EnPassant.py

ferranSanchezLlado/ModularChess

896fa192fd49f86062ea79dd0d3cbe7e5cdc9d6b

[ "MIT" ]

null

src/ModularChess/movements/EnPassant.py

ferranSanchezLlado/ModularChess

896fa192fd49f86062ea79dd0d3cbe7e5cdc9d6b

[ "MIT" ]

null

from typing import TYPE_CHECKING, Optional from ModularChess.movements.Movement import Movement, MovementData if TYPE_CHECKING: from ModularChess.pieces.Piece import Piece from ModularChess.utils.Position import Position class EnPassant(Movement): def __init__(self, piece: "Piece", new_position: "Positi...

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null

0

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0

9ddfecdb8db0a77645be766083a1ef5b0e142f16

2,387

py

Python

pytemperaturectrl/julabo.py

jenrei/pytemperaturectrl

eabfbf8a6d732cda72c5cd8397a85b0d8960da78

[ "MIT" ]

null

pytemperaturectrl/julabo.py

jenrei/pytemperaturectrl

eabfbf8a6d732cda72c5cd8397a85b0d8960da78

[ "MIT" ]

null

pytemperaturectrl/julabo.py

jenrei/pytemperaturectrl

eabfbf8a6d732cda72c5cd8397a85b0d8960da78

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ julabo.py Contains Julabo temperature control see documentation http://www.julabo.com/sites/default/files/downloads/manuals/french/19524837-V2.pdf at section 10.2. :copyright: (c) 2015 by Maxime DAUPHIN :license: MIT, see LICENSE for details """ import serial import time from .pytempera...

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null

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9de15ad674c58a2528581460d79721fcb5a0883c

1,143

py

Python

algorithms/matrix.py

rkistner/contest-algorithms

8133f8ddce4f257386c7bcf55589d559854c1955

[ "Apache-2.0" ]

4

2015-03-08T15:38:45.000Z

2018-04-08T02:13:54.000Z

algorithms/matrix.py

rkistner/contest-algorithms

8133f8ddce4f257386c7bcf55589d559854c1955

[ "Apache-2.0" ]

1

2017-11-29T01:15:55.000Z

2017-11-29T01:17:40.000Z

algorithms/matrix.py

rkistner/contest-algorithms

8133f8ddce4f257386c7bcf55589d559854c1955

[ "Apache-2.0" ]

4

2015-11-08T03:39:54.000Z

2020-11-06T10:42:53.000Z

""" Some basic matrix-related functionality. """ def cumulative2d(grid): """ >>> cumulative2d([[2, 5, 4], [3, 8, 1]]) [[0, 0, 0, 0], [0, 2, 7, 11], [0, 5, 18, 23]] """ rows = [] for row in grid: rrr = [0] last = 0 for col in row: last += col rrr.a...

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0

9de39c8afb68ea723afe9738f2762762838a1e06

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py

Python

douyu_spider/douyu_spider_v2.py

DH-JQ/WebSpider-DH

71603c85cc5327ce7a0a864db145f3c650fa13a5

[ "MIT" ]

null

douyu_spider/douyu_spider_v2.py

DH-JQ/WebSpider-DH

71603c85cc5327ce7a0a864db145f3c650fa13a5

[ "MIT" ]

null

douyu_spider/douyu_spider_v2.py

DH-JQ/WebSpider-DH

71603c85cc5327ce7a0a864db145f3c650fa13a5

[ "MIT" ]

null

from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from lxml import etree import json class DouyuSpider: def __init__(self): """ 初始化 """ start_u...

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9de3f58e34c1bda2a31dcb16e2481f3de5ab6ad2

960

py

Python

setup.py

fungibit/bitcoinscript

ced6fb37dfa40eac7341826c758842e0ed7e7475

[ "MIT" ]

1

2017-10-25T17:11:44.000Z

setup.py

fungibit/bitcoinscript

ced6fb37dfa40eac7341826c758842e0ed7e7475

[ "MIT" ]

3

2017-03-10T05:27:29.000Z

2017-04-07T16:06:28.000Z

setup.py

fungibit/bitcoinscript

ced6fb37dfa40eac7341826c758842e0ed7e7475

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup, find_packages from codecs import open from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the README file with open(path.join(here, 'README.rst'), encoding='utf-8') as f: long_description = f.read() # Read version in...

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null

0

1

0

9de4af217717d87a01fd3c8f160faa869464539b

29,850

py

Python

discretize/tree_mesh.py

ngodber/discretize

2329c9e9552b5c05f40ebf62f0bb207267bd2f92

[ "MIT" ]

123

2017-01-09T04:59:25.000Z

2022-03-29T08:06:43.000Z

discretize/tree_mesh.py

ngodber/discretize

2329c9e9552b5c05f40ebf62f0bb207267bd2f92

[ "MIT" ]

246

2017-01-09T17:20:12.000Z

2022-03-01T22:05:20.000Z

discretize/tree_mesh.py

ngodber/discretize

2329c9e9552b5c05f40ebf62f0bb207267bd2f92

[ "MIT" ]

26

2018-03-27T19:24:46.000Z

2021-11-11T20:28:09.000Z

# ___ ___ ___ ___ ___ ___ # /\ \ /\ \ /\ \ /\ \ /\ \ /\ \ # /::\ \ /::\ \ \:\ \ /::\ \ /::\ \ /::\ \ # /:/\:\ \ /:/\:\ \ \:\ \ /:/\:\ \ /:/\:\ \ /:/\:\ \ # /:/ \:\ \ /:/ \...

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null

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null

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0

9de60149d3083eff4951fd6c5511316e856edce5

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py

Python

BLOX/Examples/DayTrader/data_downloader.py

linearlabstech/blox

6a5c8a28fcfcb17731be89939284e7ac13a047d7

[ "Apache-2.0" ]

17

2019-03-31T18:37:35.000Z

2020-08-17T18:14:40.000Z

BLOX/Examples/DayTrader/data_downloader.py

linearlabstech/blox

6a5c8a28fcfcb17731be89939284e7ac13a047d7

[ "Apache-2.0" ]

null

BLOX/Examples/DayTrader/data_downloader.py

linearlabstech/blox

6a5c8a28fcfcb17731be89939284e7ac13a047d7

[ "Apache-2.0" ]

1

2019-04-02T07:02:08.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Copyright (c) 2019, Linear Labs Technology 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 ...

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0

9de667e4365b4429b64b9267a959ad26b53a85c3

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py

Python

services/db-api/project/config.py

JoshPrim/EVA-Projekt

94e4f594519eda676e0f5f2787f8643831f346df

[ "Apache-2.0" ]

2

2018-05-30T08:40:26.000Z

2018-09-06T15:37:25.000Z

services/db-api/project/config.py

JoshPrim/EVA-Projekt

94e4f594519eda676e0f5f2787f8643831f346df

[ "Apache-2.0" ]

1

2021-06-01T22:37:55.000Z

services/db-api/project/config.py

JoshPrim/EVA-Projekt

94e4f594519eda676e0f5f2787f8643831f346df

[ "Apache-2.0" ]

2

2018-05-31T14:55:04.000Z

2018-08-29T09:38:31.000Z

import os from project import app, db class BaseConfig: """Base configuration""" TESTING = False SQLALCHEMY_TRACK_MODIFICATIONS = False print('Running through config') class DevelopmentConfig(BaseConfig): """Development configuration""" SQLALCHEMY_DATABASE_URI = os.environ.get('POSTGRES_URL')...

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null

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0

9de9e23fa22dfbdc836f630d94dbe82b7f2350bd

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py

Python

src/sample.py

xiajing10/akec

239fdda923c8a0743f56dbf0a009fa2235b85451

[ "MIT" ]

14

2021-01-28T07:13:25.000Z

2022-02-10T06:41:32.000Z

src/sample.py

xiajing10/akec

239fdda923c8a0743f56dbf0a009fa2235b85451

[ "MIT" ]

2

2021-04-14T15:24:30.000Z

2021-05-06T07:02:08.000Z

src/sample.py

xiajing10/akec

239fdda923c8a0743f56dbf0a009fa2235b85451

[ "MIT" ]

1

2021-07-09T02:52:59.000Z

# -*- coding: utf-8 -*- """ Created on Thu Jun 11 11:17:21 2020 @author: eilxaix """ import pandas as pd import re def remove_hashtag(t): t=re.sub('-',' ', t) t=' '.join(t.split()) return t def read_csv_data(df): title = [remove_hashtag(i) for i in df['Document Title']] abstract = [remove_hashta...

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9deccc7336bb4388cafa2a33d6c4aebd562a78e9

936

py

Python

tests/test_estimators/test_probweight_regression.py

janvdvegt/scikit-lego

774e557c4d19f67ef54f3f0d1622c64ef9903b63

[ "MIT" ]

null

tests/test_estimators/test_probweight_regression.py

janvdvegt/scikit-lego

774e557c4d19f67ef54f3f0d1622c64ef9903b63

[ "MIT" ]

null

tests/test_estimators/test_probweight_regression.py

janvdvegt/scikit-lego

774e557c4d19f67ef54f3f0d1622c64ef9903b63

[ "MIT" ]

null

import numpy as np import pytest from sklego.common import flatten from sklego.linear_model import ProbWeightRegression from tests.conftest import nonmeta_checks, regressor_checks, general_checks @pytest.mark.parametrize("test_fn", flatten([ nonmeta_checks, general_checks, regressor_checks ])) def test_e...

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0

null

0

1

0

9df0774506aa365c6756ee8a870b647ac6699146

8,284

py

Python

GEM/plt_resukts_GEM.py

Webbah/sec-for-reinforcement-learning

19db622dce4963d25cb1b6e4ae12ddf98b6d27d2

[ "MIT" ]

2

2021-12-16T12:49:26.000Z

2022-01-28T19:18:43.000Z

GEM/plt_resukts_GEM.py

Webbah/sec-for-reinforcement-learning

19db622dce4963d25cb1b6e4ae12ddf98b6d27d2

[ "MIT" ]

null

GEM/plt_resukts_GEM.py

Webbah/sec-for-reinforcement-learning

19db622dce4963d25cb1b6e4ae12ddf98b6d27d2

[ "MIT" ]

null

import matplotlib import matplotlib.pyplot as plt import numpy as np import pandas as pd save_results = False def plot_stored_GEM_reults(interval_x=None, interval_y=None): if interval_x is None: #interval_list_x = [0.499, 0.506] # 1 interval_list_x = [0, 1] #interval_list_x = [0.299, 0.30...

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9df19b2f9979610a8ed9bef79a44747496f8dd2a

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py

Python

Adhesion/Interactions/PowerLaw.py

ContactEngineering/Adhesion

acc46ad9bfe49fec667cb9a116ebde426faa38c4

[ "MIT" ]

null

Adhesion/Interactions/PowerLaw.py

ContactEngineering/Adhesion

acc46ad9bfe49fec667cb9a116ebde426faa38c4

[ "MIT" ]

4

2021-08-18T07:30:57.000Z

2022-03-05T11:05:09.000Z

Adhesion/Interactions/PowerLaw.py

ContactEngineering/Adhesion

acc46ad9bfe49fec667cb9a116ebde426faa38c4

[ "MIT" ]

null

# # Copyright 2020 Antoine Sanner # 2020 Lars Pastewka # # ### MIT license # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the ri...

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9df5471ca3ddddaa94bd6982c624b686b6a66f95

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py

Python

Python3/Books/Douson/chapter09/simple_game.py

neon1ks/Study

5d40171cf3bf5e8d3a95539e91f5afec54d1daf3

[ "MIT" ]

null

Python3/Books/Douson/chapter09/simple_game.py

neon1ks/Study

5d40171cf3bf5e8d3a95539e91f5afec54d1daf3

[ "MIT" ]

null

Python3/Books/Douson/chapter09/simple_game.py

neon1ks/Study

5d40171cf3bf5e8d3a95539e91f5afec54d1daf3

[ "MIT" ]

2

2018-07-31T23:25:43.000Z

2019-07-03T14:26:18.000Z

# Simple Game # Demonstrates importing modules import games, random print("Welcome to the world's simplest game!\n") again = None while again != "n": players = [] num = games.ask_number(question = "How many players? (2 - 5): ", low = 2, high = 5) for i in range(num): na...

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false

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0

null

0

null

0

1

0

9df5c3a1c0529a4f203b0c8d4d096dd4cd43ed68

10,873

py

Python

izzoLambertSolver.py

tylera277/voyagerTrajectoryCalculator

fded6356e670fbc2b182cac2bfcc98e7223e2b80

[ "MIT" ]

null

izzoLambertSolver.py

tylera277/voyagerTrajectoryCalculator

fded6356e670fbc2b182cac2bfcc98e7223e2b80

[ "MIT" ]

null

izzoLambertSolver.py

tylera277/voyagerTrajectoryCalculator

fded6356e670fbc2b182cac2bfcc98e7223e2b80

[ "MIT" ]

null

""" A module hosting all algorithms devised by Izzo """ import time import numpy as np from numpy import cross, pi from numpy.linalg import norm from scipy.special import hyp2f1 def izzo2015( mu, r1, r2, tof, M=0, prograde=True, low_path=True, maxiter=35, a...

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0.005216

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0.196835

0.166927

0.116501

0.100504

0.067119

0

0.049364

0.334866

10,873

336

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0

0.132075

0

0.014306

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0

null

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0

9df6b818788dd513c66a7c66d4ffd98206ba31ae

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py

Python

integrationtest/vm/virtualrouter/regression/delete_sg_with_2_attached_nics.py

sherry546/zstack-woodpecker

54a37459f2d72ce6820974feaa6eb55772c3d2ce

[ "Apache-2.0" ]

2

2016-03-23T08:45:44.000Z

2017-06-26T02:40:46.000Z

integrationtest/vm/virtualrouter/regression/delete_sg_with_2_attached_nics.py

KevinDavidMitnick/zstack-woodpecker

96257faaf3c362168d008bdb47002025ad669b24

[ "Apache-2.0" ]

null

integrationtest/vm/virtualrouter/regression/delete_sg_with_2_attached_nics.py

KevinDavidMitnick/zstack-woodpecker

96257faaf3c362168d008bdb47002025ad669b24

[ "Apache-2.0" ]

2

2020-03-12T03:11:28.000Z

2021-07-26T01:57:58.000Z

''' Test deleting SG with 2 attached NICs. @author: Youyk ''' import zstackwoodpecker.test_util as test_util import zstackwoodpecker.test_lib as test_lib import zstackwoodpecker.test_state as test_state import zstackwoodpecker.zstack_test.zstack_test_security_group as test_sg_header import zstackwoodpecker....

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0

null

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0

9df90abf6f95f0cc5563b0534b8331a0e2b2223e

15,365

py

Python

examples/deep_architect.py

negrinho/sane_tikz

fd6f291d9815613594d724678cb91ac9d412fbb7

[ "MIT" ]

274

2020-02-13T20:24:50.000Z

2022-03-23T01:51:20.000Z

examples/deep_architect.py

negrinho/sane_tikz

fd6f291d9815613594d724678cb91ac9d412fbb7

[ "MIT" ]

null

examples/deep_architect.py

negrinho/sane_tikz

fd6f291d9815613594d724678cb91ac9d412fbb7

[ "MIT" ]

19

2020-02-14T01:07:42.000Z

2022-02-28T11:42:36.000Z

# Figure 5 in https://arxiv.org/pdf/1909.13404.pdf (towards modular and programmable architecture search) import sane_tikz.core as stz import sane_tikz.formatting as fmt frame_height = 9.5 frame_width = 10.0 frame_spacing = 0.2 frame_roundness = 0.6 frame_line_width = 4.5 * fmt.standard_line_width module_height = 1.6...

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null

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1

0

9dfa3001c3ff293c70ee1d697f313a0584e7ea7e

25,801

py

Python

pytests/epengine/basic_ops.py

pavithra-mahamani/TAF

ff854adcc6ca3e50d9dc64e7756ca690251128d3

[ "Apache-2.0" ]

null

pytests/epengine/basic_ops.py

pavithra-mahamani/TAF

ff854adcc6ca3e50d9dc64e7756ca690251128d3

[ "Apache-2.0" ]

null

pytests/epengine/basic_ops.py

pavithra-mahamani/TAF

ff854adcc6ca3e50d9dc64e7756ca690251128d3

[ "Apache-2.0" ]

null

import time import json from basetestcase import BaseTestCase from couchbase_helper.documentgenerator import doc_generator from couchbase_helper.durability_helper import DurabilityHelper, \ DurableExceptions from couchbase_helper.tuq_generators import JsonGenerator from ...

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null

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null

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0

9dfb7758cdce3c78cd800cea3cdddc3f4635fbfc

1,025

py

Python

plot/different_optimal_classifier_scale_for_different_classes.py

ZGCTroy/guided-diffusion

af987bb2b65db2875148a5466df79736ea5ae6a1

[ "MIT" ]

null

plot/different_optimal_classifier_scale_for_different_classes.py

ZGCTroy/guided-diffusion

af987bb2b65db2875148a5466df79736ea5ae6a1

[ "MIT" ]

null

plot/different_optimal_classifier_scale_for_different_classes.py

ZGCTroy/guided-diffusion

af987bb2b65db2875148a5466df79736ea5ae6a1

[ "MIT" ]

null

import matplotlib.pyplot as plt import yaml import os workspace = "/workspace/mnt/storage/guangcongzheng/zju_zgc/guided-diffusion" num_samples = 192 log = os.path.join(workspace, 'log/imagenet1000_classifier256x256_channel128_upperbound/predict/model500000_imagenet1000_stepsddim25_sample{}_selectedClass'.format(num_...

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0

null

0

null

0

1

0

9dfef6c55764a02f7c38cb42e6e52c30df77aaec

2,882

py

Python

main.py

swapmali/WalliScrapper

b7853f7d25da594045039847ad76eddd8d1204d8

[ "MIT" ]

null

main.py

swapmali/WalliScrapper

b7853f7d25da594045039847ad76eddd8d1204d8

[ "MIT" ]

null

main.py

swapmali/WalliScrapper

b7853f7d25da594045039847ad76eddd8d1204d8

[ "MIT" ]

null

from bs4 import BeautifulSoup import requests import urllib.request from datetime import datetime import time from PIL import Image, ImageDraw, ImageFont import ctypes import os import shutil import socket import sys def is_connected(hostname): try: # see if we can resolve the host name -- tells us if the...

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null

0

null

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1

0

9dff88c39b7da4ce4056ad2977600b1620da0183

9,401

py

Python

model_rnn_attention.py

zhzhx2008/keras_text_classification

e10565fb82ffbfa8b1d685be8b162c26f1429784

[ "MIT" ]

2

2019-07-11T17:01:17.000Z

2019-07-11T17:01:19.000Z

model_rnn_attention.py

zhzhx2008/keras_text_classification

e10565fb82ffbfa8b1d685be8b162c26f1429784

[ "MIT" ]

null

model_rnn_attention.py

zhzhx2008/keras_text_classification

e10565fb82ffbfa8b1d685be8b162c26f1429784

[ "MIT" ]

1

2019-12-24T01:03:47.000Z

# coding=utf-8 # @Author : zhzhx2008 # @Time : 18-10-9 import os import warnings import jieba import numpy as np from keras import Input from keras import Model from keras import backend as K from keras import initializers, regularizers, constraints from keras.callbacks import EarlyStopping, ModelCheckpoint from...

37.454183

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null

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null

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3b00d75cd611416080f44811a3c1f126a3ad61da

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py

Python

fastfold/model/fastnn/ops.py

hpcaitech/FastFold

a65d5009279ef84c1518081344db5c02213c387a

[ "Apache-2.0" ]

303

2022-03-03T01:59:47.000Z

2022-03-31T07:46:42.000Z

fastfold/model/fastnn/ops.py

hpcaitech/FastFold

a65d5009279ef84c1518081344db5c02213c387a

[ "Apache-2.0" ]

6

2022-03-03T22:17:03.000Z

2022-03-17T06:09:11.000Z

fastfold/model/fastnn/ops.py

hpcaitech/FastFold

a65d5009279ef84c1518081344db5c02213c387a

[ "Apache-2.0" ]

35

2022-03-03T01:58:56.000Z

2022-03-29T21:21:06.000Z

import torch import torch.nn as nn import torch.nn.functional as F from einops import rearrange from fastfold.model.fastnn.kernel import scale_mask_softmax, scale_mask_bias_softmax from fastfold.model.fastnn.kernel import LayerNorm from .initializer import glorot_uniform_af from fastfold.model.fastnn.kernel ...

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null

0

null

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3b031f123e10590a23278a8471646c084f1f967a

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py

Python

src/input/__init__.py

huyingjun/PyAgent

ff7096634aa8deb617d2fe9d47fd2c6fbf8ff9a4

[ "MIT" ]

1

2021-12-23T11:56:19.000Z

src/input/__init__.py

huyingjun/PyAgent

ff7096634aa8deb617d2fe9d47fd2c6fbf8ff9a4

[ "MIT" ]

null

src/input/__init__.py

huyingjun/PyAgent

ff7096634aa8deb617d2fe9d47fd2c6fbf8ff9a4

[ "MIT" ]

null

# -*- coding:utf-8 -*- """ __init__.py ~~~~~~~~ 数据收集插件 input :author: Fufu, 2021/6/7 """ from abc import abstractmethod from asyncio import create_task, sleep from typing import Any from loguru import logger from ..libs.plugin import BasePlugin class InputPlugin(BasePlugin): """数据采集插件基类""" ...

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null

0

null

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1

0

3b03f07ac42f24043a890f0020944e25aecce786

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py

Python

repositorybots/bots/Librarian.py

conda/conda-bots

a68cff7b0318093328e355e18871518c050f5493

[ "BSD-3-Clause" ]

2

2021-09-27T02:29:26.000Z

2021-10-20T19:10:39.000Z

repositorybots/bots/Librarian.py

conda/conda-bots

a68cff7b0318093328e355e18871518c050f5493

[ "BSD-3-Clause" ]

14

2021-09-09T21:16:05.000Z

2022-03-28T09:31:09.000Z

repositorybots/bots/Librarian.py

conda/conda-bots

a68cff7b0318093328e355e18871518c050f5493

[ "BSD-3-Clause" ]

2

2021-09-09T12:11:48.000Z

2022-01-28T20:25:26.000Z

import yaml import re from .SummonableBot import SummonableBot class Librarian(SummonableBot): def __init__(self, bot_name, event): self.help_command = 'help' self.help_preamble = "Here are my available responses" self.event = event with open('./responses.yml') as file: ...

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null

0

null

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3b04c0970a5c74618f4b5ea5a958ded0e0f252eb

8,201

py

Python

word_game_helper.py

avendesora/wordle-helper

651c1eddca14f56be798e0fe242c1f2cf98ae7ba

[ "MIT" ]

null

word_game_helper.py

avendesora/wordle-helper

651c1eddca14f56be798e0fe242c1f2cf98ae7ba

[ "MIT" ]

null

word_game_helper.py

avendesora/wordle-helper

651c1eddca14f56be798e0fe242c1f2cf98ae7ba

[ "MIT" ]

null

import pprint import statistics from contextlib import suppress from dataclasses import dataclass from enum import Enum from typing import Optional @dataclass class ValidCharacter: definite_locations: set[int] definite_not_locations: set[int] class CharacterStatus(Enum): GRAY = "gray" GREEN = "green...

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null

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1

0

d178683893b91fd9a85c22e3c3785427e4b51812

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py

Python

876.middle-of-the-linked-list.py

windard/leeeeee

0107a5f95746592ca4fe78d2b5875cf65b1910e7

[ "MIT" ]

null

876.middle-of-the-linked-list.py

windard/leeeeee

0107a5f95746592ca4fe78d2b5875cf65b1910e7

[ "MIT" ]

null

876.middle-of-the-linked-list.py

windard/leeeeee

0107a5f95746592ca4fe78d2b5875cf65b1910e7

[ "MIT" ]

null

# coding=utf-8 # # @lc app=leetcode id=876 lang=python # # [876] Middle of the Linked List # # https://leetcode.com/problems/middle-of-the-linked-list/description/ # # algorithms # Easy (64.97%) # Likes: 593 # Dislikes: 42 # Total Accepted: 76.4K # Total Submissions: 117.5K # Testcase Example: '[1,2,3,4,5]' # # ...

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null

0

null

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1

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d17e6c29b97301453dbf67266605a0471b95c7b0

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py

Python

ava_asd/vis.py

tuanchien/asd

190c1c6d155b16a27717596d6350598e5cd4ffac

[ "Apache-2.0", "MIT" ]

18

2020-06-19T01:18:13.000Z

2022-03-21T10:42:13.000Z

ava_asd/vis.py

tuanchien/asd

190c1c6d155b16a27717596d6350598e5cd4ffac

[ "Apache-2.0", "MIT" ]

8

2020-12-17T06:09:59.000Z

2021-07-10T02:07:41.000Z

ava_asd/vis.py

tuanchien/asd

190c1c6d155b16a27717596d6350598e5cd4ffac

[ "Apache-2.0", "MIT" ]

4

2020-06-20T01:05:01.000Z

2021-08-05T13:45:48.000Z

# New BSD License # # Copyright (c) 2007-2019 The scikit-learn developers. # All rights reserved. # # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # a. Redistributions of source code must retain the above copyright...

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null

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d1802643daf10062a7ef847447ff5fef65abb757

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py

Python

tests/state_tests.py

Alasdair-Macindoe/TuringMachineEmulator

4c2639876bd94209b170232b2f33ea1409a61a45

[ "MIT" ]

null

tests/state_tests.py

Alasdair-Macindoe/TuringMachineEmulator

4c2639876bd94209b170232b2f33ea1409a61a45

[ "MIT" ]

null

tests/state_tests.py

Alasdair-Macindoe/TuringMachineEmulator

4c2639876bd94209b170232b2f33ea1409a61a45

[ "MIT" ]

null

import pytest import sys sys.path.append('.') from turingmachine import Transition, Direction, State def test_create_transition(): q0 = State() q1 = State() #In q0 upon reading a move to q1, output b, and move the tape 1 right q0.create_transition('a', q1, 'b', Direction.RIGHT) assert q0.transiti...

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null

0

null

0

1

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d1813862bfc10545d923154e8ce565b2682d6c7b

558

py

Python

Python3/0041-First-Missing-Positive/soln-1.py

wyaadarsh/LeetCode-Solutions

3719f5cb059eefd66b83eb8ae990652f4b7fd124

[ "MIT" ]

5

2020-07-24T17:48:59.000Z

2020-12-21T05:56:00.000Z

Python3/0041-First-Missing-Positive/soln-1.py

zhangyaqi1989/LeetCode-Solutions

2655a1ffc8678ad1de6c24295071308a18c5dc6e

[ "MIT" ]

null

Python3/0041-First-Missing-Positive/soln-1.py

zhangyaqi1989/LeetCode-Solutions

2655a1ffc8678ad1de6c24295071308a18c5dc6e

[ "MIT" ]

2

2020-07-24T17:49:01.000Z

2020-08-31T19:57:35.000Z

class Solution: def firstMissingPositive(self, nums): """ :type nums: List[int] :rtype: int """ # constant space # [1, len(nums) + 1] n = len(nums) for i, num in enumerate(nums): if num < 0 or num > n: nums[i] = 0 n ...

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0

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null

0

null

0

1

0

d18168c2e3ac9ceaadcf572633e69461bbc92841

294

py

Python

default/modules/cwd.py

AshlynnInWonderland/zsh-powerline

e6f3326b3e15d8a89a0ea959314ea0ea5768ea86

[ "MIT" ]

null

default/modules/cwd.py

AshlynnInWonderland/zsh-powerline

e6f3326b3e15d8a89a0ea959314ea0ea5768ea86

[ "MIT" ]

null

default/modules/cwd.py

AshlynnInWonderland/zsh-powerline

e6f3326b3e15d8a89a0ea959314ea0ea5768ea86

[ "MIT" ]

null

import os def returnText(): cwd = os.getcwd().replace(os.environ['HOME'],'~') lstCwd = str.split(cwd, '/') if len(lstCwd) > 3: lstCwd.reverse() lstCwd = lstCwd[0:3] lstCwd.append('+') lstCwd.reverse() strCwd = '/'.join(lstCwd) return strCwd

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null

0

null

0

1

0

d185040fe764c47e88800452a2deca88a3ec3079

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py

Python

edna2/tasks/Is4aTasks.py

gsantoni/edna2

0aad63a3ea8091ce62118f0b2c8ac78a2286da9e

[ "CC0-1.0", "MIT" ]

null

edna2/tasks/Is4aTasks.py

gsantoni/edna2

0aad63a3ea8091ce62118f0b2c8ac78a2286da9e

[ "CC0-1.0", "MIT" ]

2

2020-04-06T10:39:50.000Z

2021-04-14T19:24:37.000Z

edna2/tasks/Is4aTasks.py

gsantoni/edna2

0aad63a3ea8091ce62118f0b2c8ac78a2286da9e

[ "CC0-1.0", "MIT" ]

5

2019-06-14T07:28:38.000Z

2021-04-28T13:10:39.000Z

# # Copyright (c) European Synchrotron Radiation Facility (ESRF) # # Permission is hereby granted, free of charge, to any person obtaining a copy of # this software and associated documentation files (the "Software"), to deal in # the Software without restriction, including without limitation the rights to # use, copy,...

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null

0

null

0

1

0

d187fe47d5524b63a0f74b45076d6dc9c23a3d02

1,556

py

Python

predict.py

SuperbTUM/RAW-image-denoising

9f81be8da6a576f641022707d98b8c37f5c599ab

[ "MIT" ]

4

2021-10-18T04:13:52.000Z

2022-03-10T14:10:46.000Z

predict.py

SuperbTUM/computational-photography

9f81be8da6a576f641022707d98b8c37f5c599ab

[ "MIT" ]

2

2021-12-10T02:59:30.000Z

2022-03-10T03:32:09.000Z

predict.py

SuperbTUM/computational-photography

9f81be8da6a576f641022707d98b8c37f5c599ab

[ "MIT" ]

1

2021-12-10T02:57:34.000Z

import numpy as np from tqdm import * from utils import DataLoaderX from dataset import collate from math import * def prediction(data, model, batch_size, cuda): data_loader = DataLoaderX(data, batch_size=batch_size, collate_fn=collate, num_workers=0) model.training = False iterator = tqdm(data_loader) ...

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null

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d188ece94a0b8fbdf8e8a6257addd7cf8fc804b8

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py

Python

token_shift_gpt/autoregressive_wrapper.py

fwcwmc/token-shift-gpt

58c946a8a59976681a90424be5db85ed9a034a59

[ "MIT" ]

null

token_shift_gpt/autoregressive_wrapper.py

fwcwmc/token-shift-gpt

58c946a8a59976681a90424be5db85ed9a034a59

[ "MIT" ]

null

token_shift_gpt/autoregressive_wrapper.py

fwcwmc/token-shift-gpt

58c946a8a59976681a90424be5db85ed9a034a59

[ "MIT" ]

null

import torch from torch import nn from tqdm import tqdm from entmax import entmax_bisect import torch.nn.functional as F # helper function def eval_decorator(fn): def inner(model, *args, **kwargs): was_training = model.training model.eval() out = fn(model, *args, **kwargs) model.tr...

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0.28

0

null

0

null

0

1

0

d18def4fbac29199069d5db3991e15a8d8b23343

2,225

py

Python

rl_multi_agent/experiments/furnmove_grid_marginal_nocl_rot_config.py

allenai/cordial-sync

4005fdc4816c86f6489e5f4b9252fa66b79602be

[ "MIT" ]

28

2020-07-07T16:21:10.000Z

2021-11-15T11:15:20.000Z

rl_multi_agent/experiments/furnmove_grid_marginal_nocl_rot_config.py

allenai/cordial-sync

4005fdc4816c86f6489e5f4b9252fa66b79602be

[ "MIT" ]

5

2020-09-29T07:54:43.000Z

2022-01-04T22:33:02.000Z

rl_multi_agent/experiments/furnmove_grid_marginal_nocl_rot_config.py

allenai/cordial-sync

4005fdc4816c86f6489e5f4b9252fa66b79602be

[ "MIT" ]

2

2022-02-01T19:50:27.000Z

2022-03-21T12:23:16.000Z

from typing import Optional from torch import nn from rl_multi_agent.experiments.furnmove_grid_marginal_nocl_base_config import ( FurnMoveExperimentConfig, ) from rl_multi_agent.models import A3CLSTMNStepComCoordinatedActionsEgoGridsEmbedCNN class FurnMoveGridExperimentConfig(FurnMoveExperimentConfig): # In...

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0.347826

0

null

0

null

0

1

0

d191008bf7777b6c542e5bf7e0d000e40eac38e6

3,101

py

Python

apps/roster/views.py

dulrich15/spot

5fa57dbb9c0c9a010b4dc153f832b2d130bc8f73

[ "MIT" ]

null

apps/roster/views.py

dulrich15/spot

5fa57dbb9c0c9a010b4dc153f832b2d130bc8f73

[ "MIT" ]

null

apps/roster/views.py

dulrich15/spot

5fa57dbb9c0c9a010b4dc153f832b2d130bc8f73

[ "MIT" ]

null

from __future__ import division from __future__ import unicode_literals import re from django.http import HttpResponse from django.shortcuts import redirect from django.template import RequestContext from django.template import loader from models import * from apps.core.views import get_bg_color def list_students(...

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0

null

0

null

0

1

0

d191a9aab35b5cf9693c2d15e10ff5f31d5411f3

6,635

py

Python

mac-changer.py

Hiiirad/Mac-Changer

df23de01dde3f55b45a8f0bacb065cf2170feb06

[ "MIT" ]

1

2020-08-06T13:39:50.000Z

mac-changer.py

Hiiirad/Mac-Changer

df23de01dde3f55b45a8f0bacb065cf2170feb06

[ "MIT" ]

null

mac-changer.py

Hiiirad/Mac-Changer

df23de01dde3f55b45a8f0bacb065cf2170feb06

[ "MIT" ]

null

from __future__ import unicode_literals from subprocess import call from re import search from random import sample, choice from csv import reader from os import popen from prompt_toolkit import prompt from prompt_toolkit.completion import WordCompleter ''' The strings, input and output of this program is in lowercase...

46.398601

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6,635

4.239796

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0.304452

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0

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0.111111

0.101852

0

null

0

null

0

1

0

d194460e4175a7a303de85ee742fccf7806780cb

3,029

py

Python

scripts/check_status.py

frangiz/walter-server

0c9ab88a9cc6cf446ba86b1b06bcf9f8c64cf639

[ "MIT" ]

null

scripts/check_status.py

frangiz/walter-server

0c9ab88a9cc6cf446ba86b1b06bcf9f8c64cf639

[ "MIT" ]

21

2019-09-16T08:08:17.000Z

2020-05-27T06:49:34.000Z

scripts/check_status.py

frangiz/walter-server

0c9ab88a9cc6cf446ba86b1b06bcf9f8c64cf639

[ "MIT" ]

1

2019-10-16T11:23:38.000Z

import datetime import json import os import requests import smtplib import ssl def check_status(config): new_state = get_current_state() last_known_state = get_last_known_state() activated = get_activated(new_state, last_known_state) deactivated = get_deactivated(new_state, last_known_state) save...

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0.026667

0

null

0

null

0

1

0

d19579492873b16f25e4b138c45496b98a9c1bd3

5,340

py

Python

mngSettings.py

guidanoli/fibonaccibot

fead3a151835648f7140945b94afdd0f32aa55ce

[ "MIT" ]

null

mngSettings.py

guidanoli/fibonaccibot

fead3a151835648f7140945b94afdd0f32aa55ce

[ "MIT" ]

null

mngSettings.py

guidanoli/fibonaccibot

fead3a151835648f7140945b94afdd0f32aa55ce

[ "MIT" ]

null

# Settings Manager # guidanoli DEFAULT_STGS = { "commas": "true", "comments": "true", "tknlistpath": "tknlist.tk", "tokenpath": "token.tk" } SETTINGS_PATH = "fibonacci.cfg" TYPE_STR = type("") TYPE_LIST = type([]) def _validateFilename( filename , extension = "" ): from re import match return...

31.597633

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0.182482

0

null

0

null

0

1

0

d19832a8ebc406b607f9daf11bbd5483f8a533f1

632

py

Python

core/commands/public/staff.py

Smashulica/nebula8

010df165e3cc61e0154d20310fa972482ec0e7be

[ "Apache-2.0" ]

null

core/commands/public/staff.py

Smashulica/nebula8

010df165e3cc61e0154d20310fa972482ec0e7be

[ "Apache-2.0" ]

null

core/commands/public/staff.py

Smashulica/nebula8

010df165e3cc61e0154d20310fa972482ec0e7be

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright SquirrelNetwork from core import decorators from telegram.utils.helpers import mention_markdown @decorators.public.init @decorators.delete.init def init(update,context): bot = context.bot administrators = update.effective_chat.get_administrators() ...

31.6

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0.214286

0

null

0

null

0

1

0

d19cf55d1eed29f5e017627cc562825403fd7101

2,937

py

Python

方法二/無LM算capacity.py

jell0213/MUNIT_DataHiding

75cb80a7ee5175c0a2235336e230ce3759f5b296

[ "Unlicense" ]

null

方法二/無LM算capacity.py

jell0213/MUNIT_DataHiding

75cb80a7ee5175c0a2235336e230ce3759f5b296

[ "Unlicense" ]

null

方法二/無LM算capacity.py

jell0213/MUNIT_DataHiding

75cb80a7ee5175c0a2235336e230ce3759f5b296

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- ####################################################### ''' input 路徑圖片數量 MOD值嵌密率處理內容輸入一張圖片的資料，包含： 1.資料夾名稱 2.檔案名稱(圖片)，單純用來記錄在xlsx檔案中 3.輸出路徑-xlsx 4.嵌密mod值 5.嵌密率 output 產生輸入圖片的xlsx檔(依序將所有圖片的資料寫入xlsx檔中) 包含執行時間 ''' ####...

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null

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null

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1

0

d19f00e9b0507a59fe36f2031d52bc840d7e8792

2,592

py

Python

venv/lib/python3.6/site-packages/ansible_collections/community/hashi_vault/tests/unit/plugins/module_utils/test_hashi_vault_option_group_base.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

1

2020-01-22T13:11:23.000Z

venv/lib/python3.6/site-packages/ansible_collections/community/hashi_vault/tests/unit/plugins/module_utils/test_hashi_vault_option_group_base.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

12

2020-02-21T07:24:52.000Z

2020-04-14T09:54:32.000Z

venv/lib/python3.6/site-packages/ansible_collections/community/hashi_vault/tests/unit/plugins/module_utils/test_hashi_vault_option_group_base.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2021 Brian Scholer (@briantist) # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import (absolute_import, division, print_function) __metaclass__ = type import os import pytest from ansible_collections.community.hashi...

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0

null

0

null

0

1

0

d19f23d69e8c497f2703e0ce9519ea14add2903f

2,695

py

Python

app/client.py

akakou/privacy-enhanced-antivirus

4cd32b27374016dd489eb13ac196c2c044912933

[ "MIT" ]

null

app/client.py

akakou/privacy-enhanced-antivirus

4cd32b27374016dd489eb13ac196c2c044912933

[ "MIT" ]

null

app/client.py

akakou/privacy-enhanced-antivirus

4cd32b27374016dd489eb13ac196c2c044912933

[ "MIT" ]

null

from kivy.lang import Builder import array import scipy import os import syft as sy import tensorflow as tf import numpy import time import scipy import sys from dataset import get_dataset from cluster import get_cluster from PIL import Image import leargist from skimage import transform from imageio import imsave f...

21.910569

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4.474531

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0

0.017604

0.241187

2,695

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73

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0

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0.4

0.025

0

null

0

null

0

1

0

d1a1b2cdca7fb838822d102ce1eb3031bc813ef4

5,910

py

Python

network/vgg16.py

CamilaAlvarez/tensorflow-demo

57f576bafe97054046610ded7a9ce39caa7e84b4

[ "MIT" ]

null

network/vgg16.py

CamilaAlvarez/tensorflow-demo

57f576bafe97054046610ded7a9ce39caa7e84b4

[ "MIT" ]

null

network/vgg16.py

CamilaAlvarez/tensorflow-demo

57f576bafe97054046610ded7a9ce39caa7e84b4

[ "MIT" ]

null

from network.network import Network import tensorflow as tf import numpy as np class VGG16(Network): def __init__(self, input_shape, class_number, x, y, train=False, learning_rate=0.001): super().__init__() self.loss = None self.accuracy = None self._build_network(input_shape, cla...

57.941176

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5,910

4.030508

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0.102047

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0.295206

0.099243

0.087468

0

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101

112

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0

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0

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0.02381

0

null

0

null

0

1

0

d1a66059d6aa2f43be85ef5e0f0969dc1f348e3f

4,299

py

Python

preprocessing/gen_clustering.py

HaowenWeiJohn/CV_Project

8e2414796f60a8c3fe452f3721e4a6ef7edfdb11

[ "MIT" ]

null

preprocessing/gen_clustering.py

HaowenWeiJohn/CV_Project

8e2414796f60a8c3fe452f3721e4a6ef7edfdb11

[ "MIT" ]

null

preprocessing/gen_clustering.py

HaowenWeiJohn/CV_Project

8e2414796f60a8c3fe452f3721e4a6ef7edfdb11

[ "MIT" ]

null

import yaml import os import sys import yaml import numpy as np from tqdm import tqdm import matplotlib.pyplot as plt from utils import load_poses, load_calib, load_files, load_vertex from preprocessing.utils import * from example.laserscan import * from PC_cluster.ScanLineRun_cluster.build import ScanLineRun_Cluster ...

34.119048

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0.017544

0

null

0

null

0

1

0

d1ac4c4b62c7a69033fe73553cd10cf79ee11495

638

py

Python

MyThread.py

hectorpadin1/Computer-Vision-Algorithms

4ef66353f2453ec1be764787e23260f6ef402e0f

[ "MIT" ]

null

MyThread.py

hectorpadin1/Computer-Vision-Algorithms

4ef66353f2453ec1be764787e23260f6ef402e0f

[ "MIT" ]

null

MyThread.py

hectorpadin1/Computer-Vision-Algorithms

4ef66353f2453ec1be764787e23260f6ef402e0f

[ "MIT" ]

null

import threading import sys class ReturnValueThread(threading.Thread): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.result = None def run(self): if self._target is None: return # could alternatively raise an exception, depends on the use cas...

31.9

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false

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0.5

0.0625

0

null

0

null

0

1

0

d1ae965b8719af361c251c7b3021070130bbaa7e

5,653

py

Python

LDA/lda.py

wimpykid26/Evolutionary-Classification

0a78cbebc252c0a13703aee20dac9fa234f07b08

[ "Apache-2.0" ]

3

2019-11-10T08:51:11.000Z

2020-08-05T14:23:27.000Z

LDA/lda.py

wimpykid26/Evolutionary-Classification

0a78cbebc252c0a13703aee20dac9fa234f07b08

[ "Apache-2.0" ]

null

LDA/lda.py

wimpykid26/Evolutionary-Classification

0a78cbebc252c0a13703aee20dac9fa234f07b08

[ "Apache-2.0" ]

2

2017-12-12T13:35:41.000Z

2017-12-28T10:00:56.000Z

import pandas as pd from matplotlib import pyplot as plt import numpy as np import math from matplotlib import pyplot as plt from sklearn.preprocessing import LabelEncoder feature_dict = {i:label for i,label in zip( range(4), ('sepal length in cm', 'sepal width in c...

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null

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1

0

d1b01bba827b8c38a0f0739fb791912ffc9c1b74

29,968

py

Python

gentex/texmeas.py

NPann/GenTex

8a2c7cc746abefd252613f4ddf0d7f70d7ff26f8

[ "BSD-3-Clause" ]

3

2019-04-26T00:48:01.000Z

2020-07-06T19:10:17.000Z

gentex/texmeas.py

NPann/GenTex

8a2c7cc746abefd252613f4ddf0d7f70d7ff26f8

[ "BSD-3-Clause" ]

null

gentex/texmeas.py

NPann/GenTex

8a2c7cc746abefd252613f4ddf0d7f70d7ff26f8

[ "BSD-3-Clause" ]

2

2019-01-10T18:38:05.000Z

2021-05-19T16:54:01.000Z

""" gentex.texmeas package """ import numpy as np class Texmeas: """Class texmeas for generating texture measures from co-occurrence matrix Parameters ---------- comat: ndarray Non-normalized co-occurrence matrix - chi-squared conditional distribution comparisons require the actua...

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null

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d1b22c20857895713f38d86719437c73c6f5f5b7

3,373

py

Python

AutoSketcher/utils/dataio.py

D1anaGreen/essaykiller

75311a23dc1f5dc8b5040114fdeda67248700f7a

[ "Apache-2.0" ]

4,551

2020-09-29T14:50:03.000Z

2022-03-31T00:40:45.000Z

AutoSketcher/utils/dataio.py

D1anaGreen/essaykiller

75311a23dc1f5dc8b5040114fdeda67248700f7a

[ "Apache-2.0" ]

28

2020-10-01T08:03:23.000Z

2022-03-30T15:40:40.000Z

AutoSketcher/utils/dataio.py

D1anaGreen/essaykiller

75311a23dc1f5dc8b5040114fdeda67248700f7a

[ "Apache-2.0" ]

809

2020-10-01T05:34:58.000Z

2022-03-31T00:40:48.000Z

#!/usr/bin/env python # encoding: utf-8 """ @author: zk @contact: kun.zhang@nuance.com @file: dataio.py @time: 8/27/2019 4:31 PM @desc: """ import os def load_txt_data(path, mode='utf-8-sig', origin=False): """ This func is used to reading txt file :param origin: :param path: path where file stored ...

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null

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0

d1b6e00f1b7c8a15539c5d29a89c356e88a3f73c

20,511

py

Python

music_maker.py

kenanbit/loopsichord

d02e021a68333c52adff38cc869bf217deebfc5c

[ "MIT" ]

null

music_maker.py

kenanbit/loopsichord

d02e021a68333c52adff38cc869bf217deebfc5c

[ "MIT" ]

null

music_maker.py

kenanbit/loopsichord

d02e021a68333c52adff38cc869bf217deebfc5c

[ "MIT" ]

null

from constants import * import pygame as pg from time import sleep from metronome import * import math import numpy as np from copy import deepcopy from audio import * from instructions_panel import * from loop import * class MusicMaker: def __init__(self, screen): self.pitch = 0 self.screen = scr...

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null

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null

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1

0

d1b7d1521d980a52988abbf6e1742ba50379f867

10,084

py

Python

danmu/danmaku/egame.py

simplecelery/zhibo

f1b69dabfde6cd2fc8a8a7fc4112da99feaf778f

[ "Apache-2.0" ]

4

2021-11-21T15:30:32.000Z

2022-03-11T02:49:30.000Z

danmu/danmaku/egame.py

simplecelery/zhibo

f1b69dabfde6cd2fc8a8a7fc4112da99feaf778f

[ "Apache-2.0" ]

1

2021-11-11T15:44:44.000Z

danmu/danmaku/egame.py

simplecelery/zhibo

f1b69dabfde6cd2fc8a8a7fc4112da99feaf778f

[ "Apache-2.0" ]

9

2021-09-24T03:26:21.000Z

2022-03-23T01:32:15.000Z

import aiohttp import struct import json import re class eGame: heartbeat = b'\x00\x00\x00\x12\x00\x12\x00\x01\x00\x07\x00\x00\x00\x01\x00\x00\x00\x00' heartbeatInterval = 60 @staticmethod async def get_ws_info(url): rid = url.split('/')[-1] page_id = aid = rid headers = { ...

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null

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null

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0

d1bd46a35b1176540180e5d836f7a6d20314a7dc

3,703

py

Python

lib/cogs/reactionpolls.py

pille1842/gerfroniabot

291dc8f3cf9fb00f3f5e89e36b066660a410026f

[ "MIT" ]

null

lib/cogs/reactionpolls.py

pille1842/gerfroniabot

291dc8f3cf9fb00f3f5e89e36b066660a410026f

[ "MIT" ]

null

lib/cogs/reactionpolls.py

pille1842/gerfroniabot

291dc8f3cf9fb00f3f5e89e36b066660a410026f

[ "MIT" ]

null

from datetime import datetime, timedelta from discord import Embed from discord.ext.commands import Cog from discord.ext.commands import command import logging class Reactionpolls(Cog): NUMBERS = [ "1️⃣", "2️⃣", "3️⃣", "4️⃣", "5️⃣", "6️⃣", "7️⃣", "8️⃣", "9️⃣", "🔟" ] def __init__(self, bot): ...

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null

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null

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0

d1be71acaff6d8c302bc2e4dd7fae486925372c6

5,975

py

Python

scripts/visualize_image_dataset.py

Sergio5714/pybf

bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc

[ "Apache-2.0" ]

1

2021-11-02T09:54:41.000Z

scripts/visualize_image_dataset.py

Sergio5714/pybf

bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc

[ "Apache-2.0" ]

null

scripts/visualize_image_dataset.py

Sergio5714/pybf

bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc

[ "Apache-2.0" ]

2

2020-04-17T10:50:06.000Z

2021-11-02T09:54:47.000Z

""" Copyright (C) 2020 ETH Zurich. All rights reserved. Author: Sergei Vostrikov, ETH Zurich 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/LI...

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null

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null

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0

d1bef0f9641ed3b8503a1d2834c347e28d936599

4,725

py

Python

tests/ut/python/dataset/test_datasets_get_dataset_size.py

unseenme/mindspore

4ba052f0cd9146ac0ccc4880a778706f1b2d0af8

[ "Apache-2.0" ]

7

2020-05-24T03:19:26.000Z

2020-05-24T03:20:00.000Z

tests/ut/python/dataset/test_datasets_get_dataset_size.py

liyong126/mindspore

930a1fb0a8fa9432025442c4f4732058bb7af592

[ "Apache-2.0" ]

7

2020-03-30T08:31:56.000Z

2020-04-01T09:54:39.000Z

tests/ut/python/dataset/test_datasets_get_dataset_size.py

liyong126/mindspore

930a1fb0a8fa9432025442c4f4732058bb7af592

[ "Apache-2.0" ]

1

2020-03-30T17:07:43.000Z

# Copyright 2019 Huawei Technologies Co., Ltd # # 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...

41.447368

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0.590515

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0.106061

0

null

0

null

0

1

0

d1bfe6581b046ee9479ce7089c84c5e5bea00961

4,651

py

Python

tobiko/shell/iperf/_interface.py

FedericoRessi/tobiko

188825386dc30197a37b7fe8be03318c73abbc48

[ "Apache-2.0" ]

1

2022-01-11T20:50:06.000Z

tobiko/shell/iperf/_interface.py

FedericoRessi/tobiko

188825386dc30197a37b7fe8be03318c73abbc48

[ "Apache-2.0" ]

null

tobiko/shell/iperf/_interface.py

FedericoRessi/tobiko

188825386dc30197a37b7fe8be03318c73abbc48

[ "Apache-2.0" ]

null

# Copyright (c) 2021 Red Hat, Inc. # # 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 requi...

31.425676

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0.641797

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0.289272

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0

0.002656

0.27134

4,651

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31.639456

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0.14212

0

0.128713

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0.009901

0.039604

0.029703

0.356436

0

null

0

null

0

1

0

d1c1735ef2cb4649ea44c8972cfcfb01cf792d82

512

py

Python

Tensorflow_official/cnn/.ipynb_checkpoints/test.py

starkidstory/OmegaTensor

2a80d38236a7ce6d6460be59528b33227d98b93b

[ "MIT" ]

2

2020-04-07T03:01:03.000Z

2020-04-16T14:33:21.000Z

Tensorflow_official/cnn/.ipynb_checkpoints/test.py

starkidstory/OmegaTensor

2a80d38236a7ce6d6460be59528b33227d98b93b

[ "MIT" ]

null

Tensorflow_official/cnn/.ipynb_checkpoints/test.py

starkidstory/OmegaTensor

2a80d38236a7ce6d6460be59528b33227d98b93b

[ "MIT" ]

null

import tensorflow as tf import pathlib import matplotlib.pyplot as plt import pandas as pd import numpy as np #print(np.version.version) #np.set_printoptions(precision=4) dataset=tf.data.Dataset.from_tensor_slices([8,3,0,8,2,1]) num=np.arange(5) numT=tf.convert_to_tensor(num) numF=tf.cast(numT,dtype=tf.float32) print(...

24.380952

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0.130435

0

0.039666

0.064453

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21

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false

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0.352941

0

null

0

null

0

1

0

d1c51e9ef39f4d3feeb1e7c57ea1abdeb37eef20

18,815

py

Python

src/data/SatelitteSolarPowerSystemV4.py

j1996/EPM_UCC

cf2218c7681966963a179aea043328a2343f92fb

[ "MIT" ]

null

src/data/SatelitteSolarPowerSystemV4.py

j1996/EPM_UCC

cf2218c7681966963a179aea043328a2343f92fb

[ "MIT" ]

null

src/data/SatelitteSolarPowerSystemV4.py

j1996/EPM_UCC

cf2218c7681966963a179aea043328a2343f92fb

[ "MIT" ]

null

import numpy as np import trimesh try: from Satellite_Panel_Solar import Panel_Solar from SatelitteActitud import SatelitteActitud except: from src.data.Satellite_Panel_Solar import Panel_Solar from src.data.SatelitteActitud import SatelitteActitud # noinspection SpellCheckingInspection """Sa...

39.116424

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2,171

18,815

4.690926

0.199908

0.030636

0.031618

0.019639

0.38698

0.318637

0.26522

0.228594

0.204635

0.178515

0

0.016862

0.360138

18,815

480

161

39.197917

0.829056

0.254531

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0.281385

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0.006685

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0.00625

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1

0.060606

false

0.017316

0.025974

0

0.142857

0.004329

0

null

0

null

0

1

0

d1c5cfefd7363489dfaa63b0a0dd5fcfd287ee0f

5,037

py

Python

Corrfunc/bases.py

dfm/suave

51c192f450821d9ebb0f3e7eef7461dfb1b2af5f

[ "MIT" ]

7

2021-03-03T15:44:35.000Z

2021-03-21T09:01:12.000Z

Corrfunc/bases.py

dfm/suave

51c192f450821d9ebb0f3e7eef7461dfb1b2af5f

[ "MIT" ]

3

2020-07-17T01:06:48.000Z

2021-01-20T02:59:26.000Z

Corrfunc/bases.py

dfm/suave

51c192f450821d9ebb0f3e7eef7461dfb1b2af5f

[ "MIT" ]

2

2021-03-20T00:47:51.000Z

2021-03-21T09:01:03.000Z

import numpy as np from scipy.interpolate import BSpline from colossus.cosmology import cosmology """ Helper routines for basis functions for the continuous-function estimator. """ ################ # Spline basis # ################ def spline_bases(rmin, rmax, projfn, ncomponents, ncont=2000, order=3): ''' Co...

29.115607

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0.638674

724

5,037

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0.02673

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0.309434

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0.248428

0.224528

0.2

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0

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0.016667

0

null

0

null

0

1

0

d1c635399d92b3e1526049c9830b5922d5577a91

17,587

py

Python

src/data/tree_matches.py

behavioral-data/multiverse

82b7265de0aa3e9d229ce9f3f86b8b48435ca365

[ "MIT" ]

null

src/data/tree_matches.py

behavioral-data/multiverse

82b7265de0aa3e9d229ce9f3f86b8b48435ca365

[ "MIT" ]

null

src/data/tree_matches.py

behavioral-data/multiverse

82b7265de0aa3e9d229ce9f3f86b8b48435ca365

[ "MIT" ]

1

2021-08-19T15:21:50.000Z

import glob import os import pandas as pd import json import ast from tqdm import tqdm import click import pickle from multiprocessing import Pool, cpu_count, Queue from functools import partial import itertools import sys sys.setrecursionlimit(15000) import logging logpath = "./tree_matches.log" logger = loggin...

36.112936

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0.393343

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0.003745

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0

null

0

null

0

1

0

d1c81880771dc78be0ce9b1719c11a105c654a6c

663

py

Python

examples/accessibility/test_sa11y.py

echo2477/demo-python

adc55aa8075dbd46f94d1ae68f2acfd8f20720d5

[ "MIT" ]

42

2019-02-27T03:28:52.000Z

2022-01-25T21:18:45.000Z

examples/accessibility/test_sa11y.py

echo2477/demo-python

adc55aa8075dbd46f94d1ae68f2acfd8f20720d5

[ "MIT" ]

12

2019-05-10T23:43:55.000Z

2021-11-05T21:20:02.000Z

examples/accessibility/test_sa11y.py

echo2477/demo-python

adc55aa8075dbd46f94d1ae68f2acfd8f20720d5

[ "MIT" ]

38

2019-02-27T03:28:52.000Z

2022-02-17T07:27:08.000Z

import os from selenium import webdriver from sa11y.analyze import Analyze import urllib3 urllib3.disable_warnings() class TestAccessibilitySa11y(object): def test_analysis(self): capabilities = { 'browserName': 'chrome', 'sauce:options': { 'username': os.enviro...

22.862069

69

0.612368

67

663

5.955224

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0.070175

0

0.014403

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0

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0

0.210526

0

0.315789

0

null

0

null

0

1

0

d1ca40f0376f7b0e97f60f4e474395644c035a44

653

py

Python

275_hindex_ii.py

gengwg/leetcode

0af5256ec98149ef5863f3bba78ed1e749650f6e

[ "Apache-2.0" ]

2

2018-04-24T19:17:40.000Z

2018-04-24T19:33:52.000Z

275_hindex_ii.py

gengwg/leetcode

0af5256ec98149ef5863f3bba78ed1e749650f6e

[ "Apache-2.0" ]

null

275_hindex_ii.py

gengwg/leetcode

0af5256ec98149ef5863f3bba78ed1e749650f6e

[ "Apache-2.0" ]

3

2020-06-17T05:48:52.000Z

2021-01-02T06:08:25.000Z

# 275. H-Index II # Follow up for H-Index: What if the citations array is sorted in ascending order? Could you optimize your algorithm? class Solution(object): # http://blog.csdn.net/titan0427/article/details/50650006 def hIndex(self, citations): """ :type citations: List[int] :rtype: i...

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d1cad5eb72fd592bce4b7879f6c49c197729b99c

6,172

py

Python

base/site-packages/news/templatetags/news_tags.py

edisonlz/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

285

2019-12-23T09:50:21.000Z

2021-12-08T09:08:49.000Z

base/site-packages/news/templatetags/news_tags.py

jeckun/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

null

base/site-packages/news/templatetags/news_tags.py

jeckun/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

9

2019-12-23T12:59:25.000Z

2022-03-15T05:12:11.000Z

from django.conf import settings from django import template from news.models import NewsItem, NewsAuthor, NewsCategory register = template.Library() @register.tag def get_news(parser, token): """ {% get_news 5 as news_items %} """ bits = token.split_contents() if len(bits) == 3: limit = None elif len(bits)...

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d1d19c31d7a08cd05475c969fbf2328d027248cd

15,337

py

Python

zed-align.py

zyndagj/zed-align

143b0043b0bfc88f553dc141f4873715bfabc379

[ "BSD-3-Clause" ]

1

2017-03-17T15:57:04.000Z

zed-align.py

zyndagj/ZED-bsmap-align

143b0043b0bfc88f553dc141f4873715bfabc379

[ "BSD-3-Clause" ]

null

zed-align.py

zyndagj/ZED-bsmap-align

143b0043b0bfc88f553dc141f4873715bfabc379

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python from math import ceil import os import sys import argparse import multiprocessing import subprocess as sp import re #from pprint import pprint from array import array from yaml import load, dump contexts = ('CG','CHG','CHH') def main(): fCheck = fileCheck() #class for checking parameters pars...

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null

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d1d212dc12933a4a0f21c68d34b67d74f7e46ad2

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py

Python

tests/test_metadata_model.py

statisticsnorway/microdata-validator

c6b6788ab3ba7a3dad889db9120ad2decc598e76

[ "Apache-2.0" ]

1

2022-03-23T09:15:51.000Z

tests/test_metadata_model.py

statisticsnorway/microdata-validator

c6b6788ab3ba7a3dad889db9120ad2decc598e76

[ "Apache-2.0" ]

4

2022-02-17T08:41:30.000Z

2022-02-28T14:08:47.000Z

tests/test_metadata_model.py

statisticsnorway/microdata-validator

c6b6788ab3ba7a3dad889db9120ad2decc598e76

[ "Apache-2.0" ]

null

import json import pytest from microdata_validator import Metadata, PatchingError RESOURCE_DIR = 'tests/resources/metadata_model' with open(f'{RESOURCE_DIR}/KREFTREG_DS_described.json') as f: TRANSFORMED_METADATA = json.load(f) with open(f'{RESOURCE_DIR}/KREFTREG_DS_described_update.json') as f: UPDATED_METAD...

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d1d273fedbebba3a9ba1430c685e07560c2562dd

680

py

Python

tests/platforms/macOS/dmg/test_mixin.py

chuckyQ/briefcase

06e84e7b1c3af016c828a5a640d277809de6644b

[ "BSD-3-Clause" ]

3

2020-09-29T15:32:35.000Z

2021-11-08T09:41:04.000Z

tests/platforms/macOS/dmg/test_mixin.py

CuPidev/briefcase

35619cbe4b512c8521ad3733341e6bc3422efb58

[ "BSD-3-Clause" ]

null

tests/platforms/macOS/dmg/test_mixin.py

CuPidev/briefcase

35619cbe4b512c8521ad3733341e6bc3422efb58

[ "BSD-3-Clause" ]

1

2021-03-26T11:52:02.000Z

import sys import pytest from briefcase.platforms.macOS.dmg import macOSDmgCreateCommand if sys.platform != 'darwin': pytest.skip("requires macOS", allow_module_level=True) def test_binary_path(first_app_config, tmp_path): command = macOSDmgCreateCommand(base_path=tmp_path) binary_path = command.binary...

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d1d4630b4a1d77b92aebe2079bfb6cc0bd824f76

674

py

Python

meutils/clis/conf.py

Jie-Yuan/MeUtils

2bb191b0d35b809af037c0f65b37570b8828bea3

[ "Apache-2.0" ]

3

2020-12-03T07:30:02.000Z

2021-02-07T13:37:33.000Z

meutils/clis/conf.py

Jie-Yuan/MeUtils

2bb191b0d35b809af037c0f65b37570b8828bea3

[ "Apache-2.0" ]

null

meutils/clis/conf.py

Jie-Yuan/MeUtils

2bb191b0d35b809af037c0f65b37570b8828bea3

[ "Apache-2.0" ]

1

2021-02-07T13:37:38.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Project : MeUtils. # @File : conf # @Time : 2021/1/31 10:20 下午 # @Author : yuanjie # @Email : yuanjie@xiaomi.com # @Software : PyCharm # @Description : from meutils.pipe import * # 定义参数 class TrainConf(BaseConfig): epoch = ...

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null

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d1d82814692baf55384c0af692ceedac9c370b19

4,517

py

Python

edualgo/circular-linked-list.py

VaishnaviNandakumar/eduAlgo

5eb24058d969ab6dae2cbd19f9048ea1a353b48e

[ "MIT" ]

22

2021-02-25T04:35:57.000Z

2022-02-14T13:33:19.000Z

edualgo/circular-linked-list.py

VaishnaviNandakumar/eduAlgo

5eb24058d969ab6dae2cbd19f9048ea1a353b48e

[ "MIT" ]

40

2021-02-26T06:59:41.000Z

2021-11-10T07:40:29.000Z

edualgo/circular-linked-list.py

VaishnaviNandakumar/eduAlgo

5eb24058d969ab6dae2cbd19f9048ea1a353b48e

[ "MIT" ]

17

2021-02-25T00:58:57.000Z

2021-11-08T23:46:06.000Z

from __init__ import print_msg_box class Node: def __init__(self, dataValue=None): self.dataValue = dataValue self.next = None class singleLinkedList: def __init__(self): self.headValue = None self.temp = None def insertLast(self, *elements): for data in elements...

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null

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1

0

d1e1bcedb2edbb2d5f4a7e0929b4350832d56cb6

1,280

py

Python

keypoints_SIFT_Descriptor.py

praxitelisk/OpenCV_Image_Mining

8fb6af58a677e9acd9711164080910e4f62f7de8

[ "MIT" ]

null

keypoints_SIFT_Descriptor.py

praxitelisk/OpenCV_Image_Mining

8fb6af58a677e9acd9711164080910e4f62f7de8

[ "MIT" ]

null

keypoints_SIFT_Descriptor.py

praxitelisk/OpenCV_Image_Mining

8fb6af58a677e9acd9711164080910e4f62f7de8

[ "MIT" ]

null

#import Libraries import cv2 import sys import numpy as np from matplotlib import pyplot as plt import matplotlib.image as mpimg ################################################## ''' This example illustrates how to extract interesting key points as features from an image Usage: keypointsSIFTDescriptor.py [<image...

28.444444

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1,280

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null

0

null

0

1

0

d1e232b6f4bcb98d057d8080fd878bcc9a488c24

1,103

py

Python

lib/getHostInfoResponse.py

jacksitlab/esxi-client

0d9c815a2638fb9ed2c559a6ec9bdeb6ff9f033e

[ "MIT" ]

null

lib/getHostInfoResponse.py

jacksitlab/esxi-client

0d9c815a2638fb9ed2c559a6ec9bdeb6ff9f033e

[ "MIT" ]

null

lib/getHostInfoResponse.py

jacksitlab/esxi-client

0d9c815a2638fb9ed2c559a6ec9bdeb6ff9f033e

[ "MIT" ]

null

import xml.etree.ElementTree as ET from .baseVmWareXmlResponse import BaseVmWareXmlResponse class GetHostInfoResponse(BaseVmWareXmlResponse): def __str__(self): return ('GetHostInfoResponse[vendor={} model={} vCPUs={} memory={}]').format( self.vendor, self.model, self.vCPUs, self.memory) ...

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null

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null

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1

0

d1e50fb8283a579fbdd6f28ea13ffe7026e7416d

1,651

py

Python

pyefriend_api/app/v1/setting/router.py

softyoungha/pyefriend

43a9db224be50308458f0b939ac0181b3bd63d0b

[ "MIT" ]

8

2021-11-26T14:22:21.000Z

2022-03-26T03:32:51.000Z

pyefriend_api/app/v1/setting/router.py

softyoungha/pyefriend

43a9db224be50308458f0b939ac0181b3bd63d0b

[ "MIT" ]

1

2021-12-19T13:08:26.000Z

2021-12-19T13:22:28.000Z

pyefriend_api/app/v1/setting/router.py

softyoungha/pyefriend

43a9db224be50308458f0b939ac0181b3bd63d0b

[ "MIT" ]

5

2022-01-12T17:54:40.000Z

2022-03-25T10:22:36.000Z

import os from typing import Optional, List from fastapi import APIRouter, Request, Response, status, Depends from pyefriend_api.models.setting import Setting as SettingModel from pyefriend_api.app.auth import login_required from .schema import SettingOrm, SettingUpdate r = APIRouter(prefix='/setting', ...

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null

0

null

0

1

0

d1e88bdba0945c9b9cc4455b24e5747284f786b4

368

py

Python

circular_rings.py

irahorecka/Diffraction-Simulations--Angular-Spectrum-Method

c2eb1de944685018f887c7861301f7098354e9f5

[ "MIT" ]

1

2021-01-04T17:04:55.000Z

circular_rings.py

irahorecka/Diffraction-Simulations--Angular-Spectrum-Method

c2eb1de944685018f887c7861301f7098354e9f5

[ "MIT" ]

null

circular_rings.py

irahorecka/Diffraction-Simulations--Angular-Spectrum-Method

c2eb1de944685018f887c7861301f7098354e9f5

[ "MIT" ]

null

from simulator import PolychromaticField, cf, mm F = PolychromaticField( spectrum=1.5 * cf.illuminant_d65, extent_x=12.0 * mm, extent_y=12.0 * mm, Nx=1200, Ny=1200, ) F.add_aperture_from_image( "./apertures/circular_rings.jpg", pad=(9 * mm, 9 * mm), Nx=1500, Ny=1500 ) rgb = F.compute_colors_at...

23

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3.650794

0.619048

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0.043478

0

0.112583

0.179348

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15

77

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0.649007

0

0.081522

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false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

d1efcc031c8bf6f3a8fed9857aad8b4235615828

897

py

Python

merge-sort.py

bauluk/algorithms

9020d2a6150e58ad26d18b8fede32ded966f8a8b

[ "MIT" ]

null

merge-sort.py

bauluk/algorithms

9020d2a6150e58ad26d18b8fede32ded966f8a8b

[ "MIT" ]

null

merge-sort.py

bauluk/algorithms

9020d2a6150e58ad26d18b8fede32ded966f8a8b

[ "MIT" ]

null

import random def mergeSort(numbers): if len(numbers) <= 1: return numbers left = numbers[:len(numbers)//2] right = numbers[len(numbers)//2:] left = mergeSort(left) right = mergeSort(right) numbers = merge(left, right, numbers) return numbers def merge(left, right, numbers): ...

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897

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0.027778

0

null

0

null

0

1

0

d1f02ab69517e03a599a2beb69e3009f8624f7cc

1,586

py

Python

W2/task4.py

mcv-m6-video/mcv-m6-2021-team6

701fc1420930342f3b3733e8f8fc4675c21d8f3f

[ "Unlicense" ]

null

W2/task4.py

mcv-m6-video/mcv-m6-2021-team6

701fc1420930342f3b3733e8f8fc4675c21d8f3f

[ "Unlicense" ]

2

2021-03-23T10:34:33.000Z

2021-03-23T18:54:28.000Z

W2/task4.py

mcv-m6-video/mcv-m6-2021-team6

701fc1420930342f3b3733e8f8fc4675c21d8f3f

[ "Unlicense" ]

1

2021-03-08T21:13:15.000Z

from utilsw2 import * from Reader import * from Adapted_voc_evaluation import * import glob path_to_video = 'datasets/AICity_data/train/S03/c010/vdo.avi' path_to_frames = 'datasets/frames/' results_path = 'Results/Task1_1' def task4(color_space=cv2.COLOR_BGR2GRAY, mu_file = f"W2/task1_1/mu.pkl",sigma_file= f"W2/task...

38.682927

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1,586

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0.098867

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0

0.039152

0.226986

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0

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0.03125

0

null

0

null

0

1

0

d1f0cff2e554ccf456ca71299fa80fb9f25a8ffe

3,207

py

Python

src/dictstore/file_handler.py

sampathbalivada/dictstore

d58c8ea22d52d54d93e189cbf290ffbc7e04c6f6

[ "Apache-2.0" ]

1

2021-12-21T14:23:50.000Z

src/dictstore/file_handler.py

sampathbalivada/dictstore

d58c8ea22d52d54d93e189cbf290ffbc7e04c6f6

[ "Apache-2.0" ]

null

src/dictstore/file_handler.py

sampathbalivada/dictstore

d58c8ea22d52d54d93e189cbf290ffbc7e04c6f6

[ "Apache-2.0" ]

null

# Copyright 2021 Sai Sampath Kumar Balivada # 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 ...

33.061856

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0

0.00557

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null

0

null

0

1

0

d1f1be9cfd0e8788923ad96d397bd4e298d8a339

2,432

py

Python

tests/mappers/test_action_mapper.py

mik-laj/oozie-to-airflow

c04952ddc8354bcafa340703b30f7ff33f844f4e

[ "ECL-2.0", "Apache-2.0" ]

null

tests/mappers/test_action_mapper.py

mik-laj/oozie-to-airflow

c04952ddc8354bcafa340703b30f7ff33f844f4e

[ "ECL-2.0", "Apache-2.0" ]

1

2019-07-01T21:57:45.000Z

tests/mappers/test_action_mapper.py

mik-laj/oozie-to-airflow

c04952ddc8354bcafa340703b30f7ff33f844f4e

[ "ECL-2.0", "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2019 Google LLC # # 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 agr...

41.931034

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false

0

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0

0.235294

0

null

0

null

0

1

0

d1f1e91e085496f9d5527679e19a038eaba7f62a

1,265

py

Python

euclidean_gcd/Python/euclidean_gcd.py

parammittal16/Algorithms

b9c3b6086ebf9f96bacaa55c2c29961be42676f6

[ "MIT" ]

1

2018-10-04T13:10:23.000Z

euclidean_gcd/Python/euclidean_gcd.py

Rajeev00021/Algorithms

2aeeff13b63f17bae2145ffc9583dacbe2070994

[ "MIT" ]

2

2019-10-15T06:31:33.000Z

2019-10-15T06:32:19.000Z

euclidean_gcd/Python/euclidean_gcd.py

Rajeev00021/Algorithms

2aeeff13b63f17bae2145ffc9583dacbe2070994

[ "MIT" ]

1

2019-10-05T18:24:04.000Z

def euclidean_gcd(first, second): """ Calculates GCD of two numbers using the division-based Euclidean Algorithm :param first: First number :param second: Second number """ while(second): first, second = second, first % second return first def euclidean_gcd_recursive(first, seco...

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0.086149

0.077703

0.559122

0.489865

0.209459

0

0.001403

0.436364

1,265

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0.1

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null

0

null

0

1

0

d1f402dc0bcbd7349f6046e391a89f06ba005aeb

1,627

py

Python

util/metrics/covariance.py

jamesoneill12/LayerFusion

99cba1030ed8c012a453bc7715830fc99fb980dc

[ "Apache-2.0" ]

null

util/metrics/covariance.py

jamesoneill12/LayerFusion

99cba1030ed8c012a453bc7715830fc99fb980dc

[ "Apache-2.0" ]

null

util/metrics/covariance.py

jamesoneill12/LayerFusion

99cba1030ed8c012a453bc7715830fc99fb980dc

[ "Apache-2.0" ]

null

""" Distances metrics based on the covariance matrix (mostly in the context of merging and compress)""" import torch import numpy as np import torch.nn.functional as F np.random.seed(0) def cov(m, y=None): """computes covariance of m""" if y is not None: m = torch.cat((m, y), dim=0) m_exp = torch....

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0.562999

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1,627

2.940594

0.244224

0.022447

0.089787

0.094276

0.3367

0.320988

0.274972

0

0.037829

0.252612

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104

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0.214286

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0

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0.02381

0

null

0

null

0

1

0

d1f4b4fbb3b683f57ba6d1034a8a600f1e9bf050

3,415

py

Python

tfhub_context.py

thingumajig/simple_flask_tfhub

75daae03299b43310b674664d41c273b6e3994c0

[ "Apache-2.0" ]

null

tfhub_context.py

thingumajig/simple_flask_tfhub

75daae03299b43310b674664d41c273b6e3994c0

[ "Apache-2.0" ]

6

2020-01-28T22:42:39.000Z

2022-02-10T00:10:23.000Z

tfhub_context.py

thingumajig/simple_flask_tfhub

75daae03299b43310b674664d41c273b6e3994c0

[ "Apache-2.0" ]

null

import tensorflow as tf import tensorflow_hub as hub import numpy as np class TFHubContext: def __init__(self, url="https://tfhub.dev/google/universal-sentence-encoder-large/3") -> None: super().__init__() print('Initialize graph:') # Create graph and finalize (finalizing optional but recommended). ...

36.72043

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0.061361

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0.698088

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0.581147

0

0.002467

0.16896

3,415

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104

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0

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0

0.06

0.04

0.36

0.12

0

null

0

null

0

1

0

d1f8ab1e5dcd509c7bb1c75102e032a178319bb7

1,020

py

Python

src/genemap/main/map_ids.py

jrderuiter/genemap

0413474294cae9e17252d88c8b9ff1382e4a2f0f

[ "MIT" ]

null

src/genemap/main/map_ids.py

jrderuiter/genemap

0413474294cae9e17252d88c8b9ff1382e4a2f0f

[ "MIT" ]

2

2018-05-25T17:28:21.000Z

2019-01-07T19:14:01.000Z

src/genemap/main/map_ids.py

jrderuiter/genemap

0413474294cae9e17252d88c8b9ff1382e4a2f0f

[ "MIT" ]

3

2018-05-25T16:49:13.000Z

2018-05-25T16:51:45.000Z

# -*- coding: utf-8 -*- # pylint: disable=wildcard-import,redefined-builtin,unused-wildcard-import from __future__ import absolute_import, division, print_function from builtins import * # pylint: enable=wildcard-import,redefined-builtin,unused-wildcard-import from genemap.mappers import get_mappers def main(args):...

28.333333

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0.732353

125

1,020

5.728

0.408

0.078212

0.064246

0.083799

0.150838

0

0.001157

0.152941

1,020

35

75

29.142857

0.827546

0.214706

0

0.022843

0

1

0.111111

false

0

0.166667

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0.277778

0.111111

0

null

0

null

0

1

0

d1f8f6e84f58dfa799a34b9718329b0459fc7d49

3,463

py

Python

project_gendl/splice42.py

KorfLab/datacore

f6eb04650d8257a8e2eecd44928a60368d374d38

[ "MIT" ]

null

project_gendl/splice42.py

KorfLab/datacore

f6eb04650d8257a8e2eecd44928a60368d374d38

[ "MIT" ]

null

project_gendl/splice42.py

KorfLab/datacore

f6eb04650d8257a8e2eecd44928a60368d374d38

[ "MIT" ]

null

import gzip import random import subprocess import sys def get_acceptors(filename): accs = [] with gzip.open(filename, 'rt') as fp: for line in fp.readlines(): (exon1, intron, exon2, expression, gene) = line.split() s1 = intron[-22:-2] s2 = intron[-2:] s3 = exon2[0:20] accs.append((s1, s2, s3, expre...

24.913669

70

0.634421

562

3,463

3.862989

0.231317

0.050668

0.040534

0.446799

0.357439

0.295716

0.273607

0.228006

0

0.061922

0.188565

3,463

138

71

25.094203

0.710676

0.110598

0

0.279279

0

0.119079

0.073026

0

1

0.072072

false

0.009009

0.036036

0

0.162162

0

null

0

null

0

1

0

d1f924e262151141ecf3892ae5654b295df1f760

1,300

py

Python

old-stuff/crimes/atividade.py

paulopieczarka/DataScience-Uni

4013fe97f2a40da8923f11a8ce5907423ed8addd

[ "MIT" ]

null

old-stuff/crimes/atividade.py

paulopieczarka/DataScience-Uni

4013fe97f2a40da8923f11a8ce5907423ed8addd

[ "MIT" ]

null

old-stuff/crimes/atividade.py

paulopieczarka/DataScience-Uni

4013fe97f2a40da8923f11a8ce5907423ed8addd

[ "MIT" ]

null

from sklearn.cluster import KMeans import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt def get_columns(db, col1, col2): inputs = db[[col1, col2]] coords = inputs.as_matrix(columns=None) return np.array(coords) def plot_colored_graph(inputs, kmeans_result): x = inputs.t...

23.636364

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0.707692

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1,300

4.479798

0.464646

0.040586

0.022548

0.049605

0.10823

0

0.012927

0.166923

1,300

54

82

24.074074

0.806094

0.027692

0

0.09127

0

1

0.105263

false

0

0.131579

0

0.263158

0.026316

0

null

0

null

0

1

0

d1fb7ac3548bddd8881f407edfa6134b66678d18

19,216

py

Python

search_sampler/__init__.py

gserapio/search_sampler

38c8a5c7414edb21126e767ea70e7cd355223f2a

[ "MIT" ]

1

2021-02-09T19:50:17.000Z

search_sampler/__init__.py

gserapio/search_sampler

38c8a5c7414edb21126e767ea70e7cd355223f2a

[ "MIT" ]

null

search_sampler/__init__.py

gserapio/search_sampler

38c8a5c7414edb21126e767ea70e7cd355223f2a

[ "MIT" ]

null

import os import pandas import time from datetime import datetime, timedelta from collections import defaultdict from copy import deepcopy from googleapiclient.discovery import build """ All functions that are used for querying, processing, and saving the data are located here. """ VALID_PERIOD_LENGTHS = ["day", "w...

40.454737

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19,216

4.728336

0.214905

0.020893

0.014661

0.005498

0.170805

0.141299

0.124072

0.10263

0.090351

0.076239

0

0.007116

0.327175

19,216

474

120

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0.836956

0.344921

0

0.177686

0

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0.00411

0

1

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false

0

0.028926

0

0.107438

0.033058

0

null

0

null

0

1

0

d1fdd3005698252bde84e97c3ad5be6bf947e18b

3,620

py

Python

google-cloud-sdk/lib/surface/compute/users/delete.py

bopopescu/searchparty

afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6

[ "Apache-2.0" ]

null

google-cloud-sdk/lib/surface/compute/users/delete.py

bopopescu/searchparty

afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6

[ "Apache-2.0" ]

null

google-cloud-sdk/lib/surface/compute/users/delete.py

bopopescu/searchparty

afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6

[ "Apache-2.0" ]

3

2017-07-27T18:44:13.000Z

2020-07-25T17:48:53.000Z

# Copyright 2015 Google Inc. 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 applicable law or ag...

33.518519

80

0.690331

448

3,620

5.520089

0.386161

0.05095

0.042459

0.048524

0.193692

0.152042

0.092196

0

0.004231

0.216575

3,620

107

81

33.831776

0.867772

0.286464

0

0.212121

0

0.130966

0.009073

0

1

0.045455

false

0

0.106061

0

0.19697

0

null

0

null

0

1

0

d1fff7908412416073cac969804d096355f1b2f7

3,195

py

Python

hexomino-core/gen_hexos/gen.py

chmnchiang/hexomino

483a86c11bc0ccf9cdaae4ad6e102168be3cf320

[ "Apache-2.0", "MIT" ]

null

hexomino-core/gen_hexos/gen.py

chmnchiang/hexomino

483a86c11bc0ccf9cdaae4ad6e102168be3cf320

[ "Apache-2.0", "MIT" ]

null

hexomino-core/gen_hexos/gen.py

chmnchiang/hexomino

483a86c11bc0ccf9cdaae4ad6e102168be3cf320

[ "Apache-2.0", "MIT" ]

null

from dataclasses import dataclass from functools import total_ordering from collections import Counter import typing import textwrap @dataclass(frozen=True) @total_ordering class Point: x: int y: int def __add__(self, they): return Point(self.x + they.x, self.y + they.y) def __sub__(self, the...

27.782609

75

0.553678

466

3,195

3.66309

0.203863

0.056239

0.017575

0.023433

0.146456

0.096075

0.049209

0

0.021768

0.295462

3,195

114

76

28.026316

0.736562

0

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0

0.011765

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0

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1

0.164706

false

0

0.058824

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0.011765

0

null

0

null

0

1

0

0603e6bbd9ecddad191163178ca4161b1b3decfd

1,064

py

Python

digsby/src/oscar/snac/family_x0a.py

ifwe/digsby

f5fe00244744aa131e07f09348d10563f3d8fa99

[ "Python-2.0" ]

35

2015-08-15T14:32:38.000Z

2021-12-09T16:21:26.000Z

digsby/src/oscar/snac/family_x0a.py

niterain/digsby

16a62c7df1018a49eaa8151c0f8b881c7e252949

[ "Python-2.0" ]

4

2015-09-12T10:42:57.000Z

2017-02-27T04:05:51.000Z

digsby/src/oscar/snac/family_x0a.py

niterain/digsby

16a62c7df1018a49eaa8151c0f8b881c7e252949

[ "Python-2.0" ]

15

2015-07-10T23:58:07.000Z

2022-01-23T22:16:33.000Z

import logging import oscar x0a_name="User lookup" log = logging.getLogger('oscar.snac.x0a') subcodes = {} def x0a_init(o, sock, cb): log.info('initializing') cb() log.info('finished initializing') def x0a_x01(o, sock, data): ''' SNAC (xa, x1): User lookup Family Error refere...

25.95122

75

0.62594

147

1,064

4.435374

0.469388

0.082822

0.064417

0.101227

0.230061

0.184049

0

0.037713

0.227444

1,064

40

76

26.6

0.755474

0.269737

0

0.113402

0

0.017673

0

0.05

1

0.2

false

0

0.1

0

0.35

0

null

0

null

0

1

0

060485709baa0b9492d85e40f90068c48154acf0

2,928

py

Python

setup.py

rochacon/punch

7f6fb81221049ab74ef561fb40a4174bdb3e77ef

[ "MIT" ]

null

setup.py

rochacon/punch

7f6fb81221049ab74ef561fb40a4174bdb3e77ef

[ "MIT" ]

null

setup.py

rochacon/punch

7f6fb81221049ab74ef561fb40a4174bdb3e77ef

[ "MIT" ]

null

#!/usr/bin/env python """setup.py Defines the setup instructions for the punch framework Copyright (C) 2016 Rodrigo Chacon Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, in...

39.04

112

0.663934

353

2,928

5.475921

0.541076

0.045525

0.0776

0.067253

0.027936

0

0.008119

0.242828

2,928

74

113

39.567568

0.86378

0.39071

0

0.373874

0

1

0.045455

false

0

0.136364

0

0.227273

0

null

0

null

0

1

0

0607341543b37f814977e95ae2726476134dd618

2,745

py

Python

manage.py

Zauberer2/touchresume

c558f6383722f289cf8087a15f6e049b4213c010

[ "MIT" ]

3

2020-02-25T04:18:22.000Z

2021-12-25T17:03:50.000Z

manage.py

Zauberer2/touchresume

c558f6383722f289cf8087a15f6e049b4213c010

[ "MIT" ]

3

2019-09-02T07:49:35.000Z

2021-12-19T17:46:31.000Z

manage.py

Zauberer2/touchresume

c558f6383722f289cf8087a15f6e049b4213c010

[ "MIT" ]

1

2021-12-23T18:11:07.000Z

#!/usr/bin/env python import os import re import unittest from git import Repo from semver import match from click import option, argument, echo, ClickException from touchresume.cli import cli from touchresume import __version__ @cli.command(with_appcontext=False) @option('-d', '--dir', default='tests', help='Dire...

32.294118

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2,745

4.690476

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0.022561

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0.045121

0.283136

0.239143

0.15454

0.025945

0

0.000882

0.17377

2,745

84

79

32.678571

0.780864

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0

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0

0.236595

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0

1

0.032258

false

0

0.129032

0

0.16129

0

null

0

null

0

1

0

06076fc2131eb37f5f2f55c95d8358153da24655

485

py

Python

reb/scrape.py

vibya/Economic-Downturn

03df854f4c314d5a944cd99474b980a95f088f39

[ "MIT" ]

1

2018-09-18T01:07:53.000Z

reb/scrape.py

aidinhass/reb

33fc9d9781e2c0fce8faa6240ec2d56899ee2c07

[ "MIT" ]

null

reb/scrape.py

aidinhass/reb

33fc9d9781e2c0fce8faa6240ec2d56899ee2c07

[ "MIT" ]

3

2018-09-18T01:08:01.000Z

2019-03-10T10:06:41.000Z

from reb.src import pynyt from reb.conf import APIKEY_NYT_ARTICLE nyt = pynyt.ArticleSearch(APIKEY_NYT_ARTICLE) nytArchive = pynyt.ArchiveApi(APIKEY_NYT_ARTICLE) # # get 1000 news articles from the Foreign newsdesk from 1987 # results_obama = nyt.query( # q='obama', # begin_date="20170101", # end_date="...

23.095238

62

0.692784

64

485

5.046875

0.671875

0.083591

0.148607

0

0.073232

0.183505

485

21

63

23.095238

0.742424

0.494845

0

0.021645

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

060a86f44e032bdb0deaf25d27674c930c7491c8

3,385

py

Python

hooks/relations.py

projectcalico/charm-bird

3224e887329c527f6bed2520346e66fb4e795fe8

[ "Apache-2.0" ]

null

hooks/relations.py

projectcalico/charm-bird

3224e887329c527f6bed2520346e66fb4e795fe8

[ "Apache-2.0" ]

null

hooks/relations.py

projectcalico/charm-bird

3224e887329c527f6bed2520346e66fb4e795fe8

[ "Apache-2.0" ]

1

2022-03-16T16:12:32.000Z

# -*- coding: utf-8 -*- ''' Relations for BIRD. ''' import socket import netaddr import netifaces from charmhelpers.core import hookenv from charmhelpers.core.services.helpers import RelationContext def router_id(): ''' Determine the router ID that should be used. This function uses the common logic of...

27.298387

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0.578139

399

3,385

4.802005

0.370927

0.016701

0.020355

0.006263

0.024008

0

0.017113

0.326736

3,385

123

75

27.520325

0.823607

0.191137

0

0.104478

0

0.048466

0

1

0.119403

false

0

0.074627

0.044776

0.358209

0

null

0

null

0

1

0

060b2a571442e70a179db487667f330e3647e19a

1,136

py

Python

common/cache.py

govtrack/django-lorien-common

27241ff72536b442dfd64fad8589398b8a6e9f4d

[ "BSD-3-Clause" ]

1

2020-08-17T06:24:56.000Z

common/cache.py

govtrack/django-lorien-common

27241ff72536b442dfd64fad8589398b8a6e9f4d

[ "BSD-3-Clause" ]

null

common/cache.py

govtrack/django-lorien-common

27241ff72536b442dfd64fad8589398b8a6e9f4d

[ "BSD-3-Clause" ]

null

from hashlib import sha1 from django.core.cache import cache from django.utils.encoding import smart_str def cached(key=None, timeout=300): """ Cache the result of function call. Args: key: the key with which value will be saved. If key is None then it is calculated automatically ...

32.457143

80

0.564261

136

1,136

4.588235

0.477941

0.038462

0.022436

0.035256

0

0.006935

0.365317

1,136

34

81

33.411765

0.85853

0.285211

0

0.095238

0

1

0.142857

false

0

0.142857

0

0.47619

0

null

0

null

0

1

0

060d03c63bb8152f4e45ecb98502c75a5900990a

1,417

py

Python

dtecsv.py

varnav/dte-usage-plotter

cfeca2db8ccb4c4f0564d9f0b493edd26f68e1ca

[ "MIT" ]

null

dtecsv.py

varnav/dte-usage-plotter

cfeca2db8ccb4c4f0564d9f0b493edd26f68e1ca

[ "MIT" ]

null

dtecsv.py

varnav/dte-usage-plotter

cfeca2db8ccb4c4f0564d9f0b493edd26f68e1ca

[ "MIT" ]

null

#!/usr/bin/env python3 """ 1. Go to: https://usage.dteenergy.com/?interval=hour 2. Download CSV 3. Run: python dtecsv.py .\electric_usage_report_05-31-2021_to_06-05-2021.csv """ import csv import datetime import click import matplotlib.pyplot as plt x = [] y = [] @click.command() @click.argument('file', type=c...

23.616667

104

0.614679

221

1,417

3.882353

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0.006993

0.04662

0.065268

0.11655

0

0.045539

0.240649

1,417

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105

24.016949

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0

1

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0

0.166667

0

0.208333

0

null

0

null

0

1

0

060ddb65bbe8989145f472ee9db47a8d7aff5843

12,598

py

Python

model_navigator/model_analyzer/profiler.py

triton-inference-server/model_navigator

ec2915f4f5a6b9ed7e1b59290899e2b56b98bcc7

[ "ECL-2.0", "Apache-2.0" ]

49

2021-04-09T18:32:07.000Z

2022-03-29T07:32:24.000Z

model_navigator/model_analyzer/profiler.py

triton-inference-server/model_navigator

ec2915f4f5a6b9ed7e1b59290899e2b56b98bcc7

[ "ECL-2.0", "Apache-2.0" ]

7

2021-07-13T09:00:12.000Z

2021-11-15T17:16:35.000Z

model_navigator/model_analyzer/profiler.py

triton-inference-server/model_navigator

ec2915f4f5a6b9ed7e1b59290899e2b56b98bcc7

[ "ECL-2.0", "Apache-2.0" ]

7

2021-04-09T18:31:56.000Z

2022-03-01T08:08:04.000Z

# Copyright (c) 2021, NVIDIA CORPORATION. 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 applic...

44.992857

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0.177273

0

null

0

null

0

1

0

061117f2066d00451f5045f7338796a6dddd1a21

906

py

Python

IOPool/Input/test/PrePool2FileInputTest_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

IOPool/Input/test/PrePool2FileInputTest_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

IOPool/Input/test/PrePool2FileInputTest_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

# The following comments couldn't be translated into the new config version: # Test storing OtherThing as well # Configuration file for PrePoolInputTest import FWCore.ParameterSet.Config as cms process = cms.Process("TEST2ND") process.load("FWCore.Framework.test.cmsExceptionsFatal_cff") #process.maxEvents = cms.un...

28.3125

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0.733996

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906

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906

31

92

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0.076923

0

null

0

null

0

1

0

0611b8f8b1f08d15f75771f8b58463a12ef35fc0

24,165

py

Python

scripts/old_scripts/compare_svo_multiple.py

noambuckman/mpc-multiple-vehicles

a20949c335f1af97962569eed112e6cef46174d9

[ "MIT" ]

1

2021-11-02T15:16:17.000Z

scripts/old_scripts/compare_svo_multiple.py

noambuckman/mpc-multiple-vehicles

a20949c335f1af97962569eed112e6cef46174d9

[ "MIT" ]

5

2021-04-14T17:08:59.000Z

2021-05-27T21:41:02.000Z

scripts/old_scripts/compare_svo_multiple.py

noambuckman/mpc-multiple-vehicles

a20949c335f1af97962569eed112e6cef46174d9

[ "MIT" ]

2

2022-02-07T08:16:05.000Z

2022-03-09T23:30:17.000Z

import datetime import os, sys import numpy as np import matplotlib.pyplot as plt import casadi as cas ##### For viewing the videos in Jupyter Notebook import io import base64 from IPython.display import HTML # from ..</src> import car_plotting # from .import src.car_plotting PROJECT_PATH = '/home/nbuckman/Dropbox (...

39.679803

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24,165

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24,165

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false

0.002392

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0

0.035885

0.088517

0

null

0

null

0

1

0

0613ddb7599b3120261ade10d3011d5c27649921

2,082

py

Python

AI_maker/celule_leucemie.py

pamintandrei/Tiroidaptinfoed

2671f219de2ef8ecf68ae7a932ed82462365d889

[ "MIT" ]

5

2019-06-10T10:42:22.000Z

2019-07-10T14:05:13.000Z

AI_maker/celule_leucemie.py

pamintandrei/Tiroidaptinfoed

2671f219de2ef8ecf68ae7a932ed82462365d889

[ "MIT" ]

null

AI_maker/celule_leucemie.py

pamintandrei/Tiroidaptinfoed

2671f219de2ef8ecf68ae7a932ed82462365d889

[ "MIT" ]

2

2018-08-30T14:36:20.000Z

2019-06-17T13:07:18.000Z

import numpy as np from tensorflow.keras.callbacks import TensorBoard import cv2 import sys import threading import keras from keras.layers import Conv2D,Dense,MaxPooling2D,Flatten,BatchNormalization,Dropout from IPython.display import display from PIL import Image import tensorflow as tf np.random.seed(1) with tf.dev...

50.780488

146

0.739193

280

2,082

5.371429

0.378571

0.086436

0.053191

0.076463

0.384973

0.350399

0.269282

0

0.042941

0.105187

2,082

41

147

50.780488

0.764359

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false

0

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0.027027

0

null

0

null

0

1

0

06155bb97d79c4a708e108ac4d37d0955dc2bd9c

3,002

py

Python

test.py

mricaldone/Gramatica

a7e2ff933fe875f5b8a95338c2c312f403ba5679

[ "MIT" ]

null

test.py

mricaldone/Gramatica

a7e2ff933fe875f5b8a95338c2c312f403ba5679

[ "MIT" ]

null

test.py

mricaldone/Gramatica

a7e2ff933fe875f5b8a95338c2c312f403ba5679

[ "MIT" ]

null

import Gramatica def testSeparadorDeSilabas(entrada, esperado): try: salida = Gramatica.separarEnSilabas(entrada) except Gramatica.NoHayVocal: print("[ERROR]","Salida esperada:", "\"" + esperado + "\"", "|", "Salida obtenida:", "Excepcion: No hay vocal") return if esperado != salid...

50.033333

134

0.72052

320

3,002

6.759375

0.54375

0.005548

0.012483

0.022191

0.264448

0.17938

0.084142

0.041609

0

0.002956

0.098601

3,002

60

135

50.033333

0.796378

0.118255

0

0.087719

0

0.324621

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1

0.017544

false

0

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0

0.052632

0

null

0

null

0

1

0

061561270f389e6138b7861cea448dfbc7f9b7ae

1,201

py

Python

web/scripts/minify_json.py

albertomh/SqueezeCompass

30365fd6f1bf8ceca2c2fa7e4c8e15d4d9a85f1f

[ "MIT" ]

null

web/scripts/minify_json.py

albertomh/SqueezeCompass

30365fd6f1bf8ceca2c2fa7e4c8e15d4d9a85f1f

[ "MIT" ]

null

web/scripts/minify_json.py

albertomh/SqueezeCompass

30365fd6f1bf8ceca2c2fa7e4c8e15d4d9a85f1f

[ "MIT" ]

null

# # Minify JSON data files in the `/dist` directory. # Script invoked by the npm postbuild script after building the project with `npm run build`. # from os import ( path, listdir, fsdecode ) import json from datetime import datetime class JSONMinifier: DIST_CONSTITUENT_DATA_DIRECTORY = path.abspath(...

34.314286

117

0.623647

141

1,201

5.092199

0.460993

0.05571

0.052925

0.077994

0.253482

0.169916

0

0.001094

0.238968

1,201

34

118

35.323529

0.784464

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0

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0.110795

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0

1

0.041667

false

0

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0.041667

0

null

0

null

0

1

0

ae044bb52fdc9d56a4ae83f40e90c43b75adb5a4

13,751

py

Python

CPU-Name.py

acidburn0zzz/CPU-Name

2322da712a9ac47f38f22a43bf9bcbc0240e062b

[ "MIT" ]

1

2021-11-30T18:35:46.000Z

CPU-Name.py

acidburn0zzz/CPU-Name

2322da712a9ac47f38f22a43bf9bcbc0240e062b

[ "MIT" ]

null

CPU-Name.py

acidburn0zzz/CPU-Name

2322da712a9ac47f38f22a43bf9bcbc0240e062b

[ "MIT" ]

null

import subprocess import platform from Scripts import plist, utils class CPUName: def __init__(self, **kwargs): self.u = utils.Utils("CPU-Name") self.plist_path = None self.plist_data = {} self.clear_empty = True self.detected = self.detect_cores() self.cpu_model = s...

49.464029

172

0.563304

1,784

13,751

4.190022

0.142377

0.084281

0.046957

0.026756

0.504883

0.405485

0.342074

0.296187

0.265953

0.125753

0

0.046117

0.296706

13,751

277

173

49.642599

0.726812

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0

0.270161

0

0.201125

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0

0.003953

0

1

0.068548

false

0.008065

0.012097

0.169355

0.165323

0

null

0

null

0

1

0

ae046c38a2e79a1620b18d8e95f3afd8af8e8031

3,853

py

Python

solvcon/parcel/gasplus/probe.py

j8xixo12/solvcon

a8bf3a54d4b1ed91d292e0cdbcb6f2710d33d99a

[ "BSD-3-Clause" ]

16

2015-12-09T02:54:42.000Z

2021-04-20T11:26:39.000Z

solvcon/parcel/gasplus/probe.py

j8xixo12/solvcon

a8bf3a54d4b1ed91d292e0cdbcb6f2710d33d99a

[ "BSD-3-Clause" ]

95

2015-12-09T00:49:40.000Z

2022-02-14T13:34:55.000Z

solvcon/parcel/gasplus/probe.py

j8xixo12/solvcon

a8bf3a54d4b1ed91d292e0cdbcb6f2710d33d99a

[ "BSD-3-Clause" ]

13

2015-05-08T04:16:42.000Z

2021-01-15T09:28:06.000Z

# -*- coding: UTF-8 -*- # # Copyright (c) 2016, Yung-Yu Chen <yyc@solvcon.net> # BSD 3-Clause License, see COPYING import os import numpy as np import solvcon as sc class Probe(object): """ Represent a point in the mesh. """ def __init__(self, *args, **kw): self.speclst = kw.pop('speclst'...

30.101563

79

0.534908

497

3,853

4.062374

0.336016

0.031204

0.019812

0.027737

0.10847

0.070827

0.05894

0.042595

0

0.01165

0.33169

3,853

127

80

30.338583

0.772427

0.066701

0

0.022222

0

0.033004

0

0.007874

0

1

0.133333

false

0

0.033333

0

0.222222

0

null

0

null

0

1

0

ae059eac36d79675fbab914a2bbf4174d3306bb6

8,600

py

Python

data/dataset.py

1chimaruGin/EfficientDet

8adf636db1f7c5c64b65c1e897a0d18f682e6251

[ "Apache-2.0" ]

9

2020-09-02T09:53:04.000Z

2022-01-16T11:16:57.000Z

data/dataset.py

1chimaruGin/EfficientDet

8adf636db1f7c5c64b65c1e897a0d18f682e6251

[ "Apache-2.0" ]

null

data/dataset.py

1chimaruGin/EfficientDet

8adf636db1f7c5c64b65c1e897a0d18f682e6251

[ "Apache-2.0" ]

1

2021-06-15T15:55:46.000Z

""" COCO dataset (quick and dirty) Hacked together by Ross Wightman """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch.utils.data as data import os import cv2 import random import torch import numpy as np from PIL import Image from pycocotool...

37.391304

136

0.546395

1,136

8,600

3.964789

0.206866

0.036634

0.013321

0.020426

0.160524

0.108348

0.062167

0.031528

0.008881

0

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0.325116

8,600

230

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37.391304

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0

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0

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1

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false

0

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0.005747

0

null

0

null

0

1

0

ae0b04625ca9a862eb715fd13d3b553a6fb19211

12,715

py

Python

test/abstract_lut_test.py

sgtm/ColorPipe-tools

971b546f77b0d1a6e5ee3aa7e4077a9d41c6e59b

[ "BSD-3-Clause" ]

1

2021-06-21T13:35:20.000Z

test/abstract_lut_test.py

sgtm/ColorPipe-tools

971b546f77b0d1a6e5ee3aa7e4077a9d41c6e59b

[ "BSD-3-Clause" ]

null

test/abstract_lut_test.py

sgtm/ColorPipe-tools

971b546f77b0d1a6e5ee3aa7e4077a9d41c6e59b

[ "BSD-3-Clause" ]

null

""" Testing Abstract LUT model """ import unittest import os import shutil import tempfile from PyOpenColorIO.Constants import INTERP_LINEAR, INTERP_TETRAHEDRAL from utils import lut_presets as presets from utils.lut_presets import PresetException, OUT_BITDEPTH import utils.abstract_lut_helper as alh from utils.colors...

42.811448

83

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12,715

5.05813

0.146897

0.05125

0.047212

0.035875

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0.382979

0.342289

0.307346

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0

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12,715

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false

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null

0

null

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0