xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

5c165b43b1f198ab8d8542c8ff00784873352544

4,911

py

Python

simulations/exp_schapiro.py

nicktfranklin/EventSegmentation

aa1ab809918ee3a10fa0bd4ae1757b3febc573d1

[ "MIT" ]

14

2019-04-05T14:06:39.000Z

2022-03-26T19:11:42.000Z

simulations/exp_schapiro.py

nicktfranklin/SEM_paper_simulations

aa1ab809918ee3a10fa0bd4ae1757b3febc573d1

[ "MIT" ]

null

simulations/exp_schapiro.py

nicktfranklin/SEM_paper_simulations

aa1ab809918ee3a10fa0bd4ae1757b3febc573d1

[ "MIT" ]

2

2020-07-07T17:12:09.000Z

2021-01-15T23:30:16.000Z

import numpy as np from models import SEM, clear_sem from sklearn import metrics import pandas as pd from scipy.special import logsumexp def logsumexp_mean(x): return logsumexp(x) - np.log(len(x)) def batch_experiment(sem_kwargs, n_train=1400, n_test=600, progress_bar=True): # define the graph structure for ...

37.48855

119

0.591326

817

4,911

3.388005

0.161567

0.102601

0.131142

0.148844

0.476156

0.375723

0.354046

0.34104

0.27565

0.211344

0

0.088437

0.258603

4,911

130

120

37.776923

0.671793

0.082672

0

0.043011

0

0.05809

0

1

0.043011

false

0

0.053763

0.021505

0.139785

0

null

0

null

0

1

0

5c17c5b7aabeab82c94531a8db0f717695069f5e

28,818

py

Python

src/mlshell/producers/dataset.py

nizaevka/mlshell

36893067f598f6b071b61604423d0fd15c2a7c62

[ "Apache-2.0" ]

8

2020-10-04T15:33:58.000Z

2020-11-24T15:10:18.000Z

src/mlshell/producers/dataset.py

nizaevka/mlshell

36893067f598f6b071b61604423d0fd15c2a7c62

[ "Apache-2.0" ]

5

2020-03-06T18:13:10.000Z

2022-03-12T00:52:48.000Z

src/mlshell/producers/dataset.py

nizaevka/mlshell

36893067f598f6b071b61604423d0fd15c2a7c62

[ "Apache-2.0" ]

null

""" The :mod:`mlshell.producers.dataset` contains examples of `Dataset` class for empty data object creation and `DataProducer` class for filling it. :class:`mlshell.Dataset` proposes unified interface to interact with underlying data. Intended to be used in :class:`mlshell.Workflow`. For new data formats no need to e...

36.804598

80

0.561906

3,144

28,818

4.997774

0.151399

0.019474

0.011455

0.008592

0.347419

0.276459

0.222364

0.188634

0.177942

0.173232

0

0.002892

0.328024

28,818

782

81

36.851662

0.808521

0.436949

0

0.118243

0

0.102163

0.001928

0

1

0.084459

false

0.003378

0.027027

0.003378

0.212838

0.013514

0

null

0

null

0

1

0

5c1ae1443f7fa73080c8c0a769854cb87fc44def

21,356

py

Python

examples/utils/discrete_space.py

beark007/smarts_ppo

8f6aa33a6fcfb74dc0b8e92951d6b70d6e2874de

[ "MIT" ]

null

examples/utils/discrete_space.py

beark007/smarts_ppo

8f6aa33a6fcfb74dc0b8e92951d6b70d6e2874de

[ "MIT" ]

null

examples/utils/discrete_space.py

beark007/smarts_ppo

8f6aa33a6fcfb74dc0b8e92951d6b70d6e2874de

[ "MIT" ]

null

""" this file contains tuned obs function and reward function fix ttc calculate """ import math import gym import numpy as np from smarts.core.agent import AgentSpec from smarts.core.agent_interface import AgentInterface from smarts.core.agent_interface import OGM, NeighborhoodVehicles from smarts.core.controllers im...

38.135714

106

0.631111

2,933

21,356

4.232526

0.113877

0.029

0.029966

0.020541

0.45497

0.34308

0.265748

0.215483

0.185194

0.15112

0

0.022196

0.274302

21,356

559

107

38.203936

0.77881

0.176484

0

0.193548

0

0.019819

0.01054

0

0.002688

1

0.024194

false

0.010753

0.018817

0.005376

0.069892

0

null

0

null

0

1

0

5c1c78f65b55a91c212dbfb6fa80d719220b3e5d

1,156

py

Python

tests/optimizers/test_constant_optimizer.py

kevinconway/pycc

69ba99d78a859ba61c2ce7ee35766e21c789db21

[ "Apache-2.0" ]

17

2015-04-01T13:51:25.000Z

2021-12-15T21:07:09.000Z

tests/optimizers/test_constant_optimizer.py

kevinconway/pycc

69ba99d78a859ba61c2ce7ee35766e21c789db21

[ "Apache-2.0" ]

3

2018-09-05T04:34:24.000Z

2019-05-27T00:44:33.000Z

tests/optimizers/test_constant_optimizer.py

kevinconway/pycc

69ba99d78a859ba61c2ce7ee35766e21c789db21

[ "Apache-2.0" ]

5

2018-05-19T23:50:44.000Z

2021-08-05T08:39:57.000Z

"""Test suite for optimizers.constant.""" from __future__ import division from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals import ast import pytest from pycc.asttools import parse from pycc.optimizers import constant source = """ ONE = 1 TWO = 2 T...

21.018182

59

0.694637

172

1,156

4.534884

0.354651

0.071795

0.089744

0.041026

0.158974

0.097436

0

0.018143

0.189446

1,156

54

60

21.407407

0.814301

0.189446

0

0.195865

0

0.212121

1

0.060606

false

0

0.242424

0

0.393939

0.030303

0

null

0

null

0

1

0

5c1ea40702594b065154a2ff625e0441b3a8faf9

2,079

py

Python

vnc_viewer/engine/service/proxy.py

alsbi/vnc

1dd89ffed17a0f5a47cf08516b5757b4481ae6b4

[ "MIT" ]

null

vnc_viewer/engine/service/proxy.py

alsbi/vnc

1dd89ffed17a0f5a47cf08516b5757b4481ae6b4

[ "MIT" ]

null

vnc_viewer/engine/service/proxy.py

alsbi/vnc

1dd89ffed17a0f5a47cf08516b5757b4481ae6b4

[ "MIT" ]

null

# -*- coding: utf-8 -*- __author__ = 'alsbi' from multiprocessing import Process from websockify import WebSocketProxy class Proxy(): port = {} @classmethod def get_port(cls, uuid): if uuid in Proxy.port: return Proxy.port[uuid] port = list(set(range(50000, ...

28.479452

94

0.526215

228

2,079

4.583333

0.254386

0.076555

0.074641

0.051675

0.220096

0.15311

0

0.009281

0.378066

2,079

72

95

28.875

0.798917

0.010101

0

0.135593

0

0.050097

0.035019

0

1

0.118644

false

0

0.033898

0

0.288136

0

null

0

null

0

1

0

5c1f238b6bcc670b2b5ec473a5f107f816b2ed4c

318

py

Python

massthings/__init__.py

FPVogel/Fixator10-Cogs

002a90e06952b7bf7a0ffdbd93c9d423f238f124

[ "MIT" ]

76

2018-07-21T21:09:00.000Z

2022-03-17T06:56:03.000Z

massthings/__init__.py

FPVogel/Fixator10-Cogs

002a90e06952b7bf7a0ffdbd93c9d423f238f124

[ "MIT" ]

59

2019-01-23T08:13:13.000Z

2022-03-13T16:39:05.000Z

massthings/__init__.py

FPVogel/Fixator10-Cogs

002a90e06952b7bf7a0ffdbd93c9d423f238f124

[ "MIT" ]

63

2019-03-06T01:43:45.000Z

2022-02-14T20:16:19.000Z

from .massthings import MassThings __red_end_user_data_statement__ = ( "This cog does not persistently store data or metadata about users." # "<s>If you are using this cog, user data storage will probably be much less significant thing then API abuse</s>" ) def setup(bot): bot.add_cog(MassThings(bot))

28.909091

119

0.745283

49

318

4.653061

0.77551

0.070175

0

0.179245

318

10

120

31.8

0.873563

0.355346

0

0.325123

0

1

0.166667

false

0

0.166667

0

0.333333

0

null

0

null

0

1

0

5c200dbfad013cbf8dd5260a6b61041a4ae56d9e

1,528

py

Python

observatory/middleware/CssSmasher.py

natestedman/Observatory

6e810b22d844416b2a3057e99ef23baa0d122ab4

[ "0BSD" ]

1

2015-01-16T04:17:54.000Z

observatory/middleware/CssSmasher.py

natestedman/Observatory

6e810b22d844416b2a3057e99ef23baa0d122ab4

[ "0BSD" ]

null

observatory/middleware/CssSmasher.py

natestedman/Observatory

6e810b22d844416b2a3057e99ef23baa0d122ab4

[ "0BSD" ]

null

# Copyright (c) 2010, individual contributors (see AUTHORS file) # # Permission to use, copy, modify, and/or distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" ...

44.941176

74

0.725785

231

1,528

4.748918

0.47619

0.041021

0.045579

0.054695

0.122151

0.049225

0

0.00319

0.179319

1,528

33

75

46.30303

0.871611

0.496073

0

0.050265

0

1

0.0625

false

0

0.25

0

0.375

0

null

0

null

0

1

0

5c21f13b79aff05e74d7a6471705742eb1ef0d68

2,101

py

Python

okta/models/access_policy_rule_application_sign_on.py

ander501/okta-sdk-python

0927dc6a2f6d5ebf7cd1ea806d81065094c92471

[ "Apache-2.0" ]

null

okta/models/access_policy_rule_application_sign_on.py

ander501/okta-sdk-python

0927dc6a2f6d5ebf7cd1ea806d81065094c92471

[ "Apache-2.0" ]

null

okta/models/access_policy_rule_application_sign_on.py

ander501/okta-sdk-python

0927dc6a2f6d5ebf7cd1ea806d81065094c92471

[ "Apache-2.0" ]

null

# flake8: noqa """ Copyright 2021 - Present Okta, Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in ...

33.887097

86

0.654926

225

2,101

5.977778

0.457778

0.133829

0.098141

0.057993

0.050558

0

0.005941

0.278915

2,101

61

87

34.442623

0.881848

0.331747

0

0.176471

0

0.091371

0

1

0.058824

false

0

0.058824

0

0.176471

0

null

0

null

0

1

0

5c24da598237de3c027b9acde2ff873da368e571

3,203

py

Python

bot/player_commands/missing.py

XIIIsiren/CommunityAPI

e665638d2800b71b3d32d49c6897901f4c49a9c5

[ "Apache-2.0" ]

null

bot/player_commands/missing.py

XIIIsiren/CommunityAPI

e665638d2800b71b3d32d49c6897901f4c49a9c5

[ "Apache-2.0" ]

null

bot/player_commands/missing.py

XIIIsiren/CommunityAPI

e665638d2800b71b3d32d49c6897901f4c49a9c5

[ "Apache-2.0" ]

null

import discord from discord.ext import commands import json from utils import error, RARITY_DICT from parse_profile import get_profile_data from extract_ids import extract_internal_names # Create the master list! from text_files.accessory_list import talisman_upgrades # Get a list of all accessories ACCESSORIES = []...

42.144737

141

0.658445

427

3,203

4.75644

0.34192

0.023634

0.029542

0.016741

0.023634

0

0.007727

0.232282

3,203

75

142

42.706667

0.818219

0.046831

0

0.018519

0.21241

0.05023

0

0.002626

0

1

0.037037

false

0

0.12963

0

0.240741

0

null

0

null

0

1

0

5c256fbd08baa69454ac110542d3949899a3e62f

725

py

Python

extract-faces.py

rgooding/face-recogniser

3c14bf2faf3cd815c43a537e8a6d86258e5c52c7

[ "MIT" ]

null

extract-faces.py

rgooding/face-recogniser

3c14bf2faf3cd815c43a537e8a6d86258e5c52c7

[ "MIT" ]

null

extract-faces.py

rgooding/face-recogniser

3c14bf2faf3cd815c43a537e8a6d86258e5c52c7

[ "MIT" ]

null

import os import cv2 from lib import lib images_dir = "images" faces_dir = "images/faces" def main(): files = os.listdir(images_dir) for file_name in files: full_path = images_dir + "/" + file_name if not os.path.isfile(full_path): continue print("Processing " + full_pa...

23.387097

71

0.56

100

725

3.83

0.43

0.083551

0.086162

0.083551

0.088773

0

0.01

0.310345

725

30

72

24.166667

0.756

0.078621

0

0.064565

0

1

0.05

false

0

0.15

0

0.2

0.05

0

null

0

null

0

1

0

5c271332264e94d543256ede8fdcc6d30fbdd9a2

5,142

py

Python

models/train_classifier.py

julie-data/disaster-responses-pipeline

3539747e18f98c301ae9f8e2e4661c985e29dfbb

[ "FTL" ]

null

models/train_classifier.py

julie-data/disaster-responses-pipeline

3539747e18f98c301ae9f8e2e4661c985e29dfbb

[ "FTL" ]

null

models/train_classifier.py

julie-data/disaster-responses-pipeline

3539747e18f98c301ae9f8e2e4661c985e29dfbb

[ "FTL" ]

null

import sys import pandas as pd from sqlalchemy import create_engine import re import numpy as np import nltk from nltk.corpus import stopwords from nltk.stem.wordnet import WordNetLemmatizer from nltk.tokenize import word_tokenize from nltk import pos_tag, ne_chunk nltk.download('punkt') nltk.download('stopwords') nl...

27.945652

119

0.669584

656

5,142

5.096037

0.332317

0.029913

0.005384

0.014358

0.094526

0.059827

0.035298

0

0.003855

0.243291

5,142

184

120

27.945652

0.855307

0.259627

0

0.172781

0.031644

0

1

0.074074

false

0

0.234568

0

0.345679

0.111111

0

null

0

null

0

1

0

5c275f2ec32045f61bf64ac2e62550759a730fd3

976

py

Python

plot_normballs.py

bkoyuncu/notes

0e660f46b7d17fdfddc2cad1bb60dcf847f5d1e4

[ "MIT" ]

191

2016-01-21T19:44:23.000Z

2022-03-25T20:50:50.000Z

plot_normballs.py

onurboyar/notes

2ec14820af044c2cfbc99bc989338346572a5e24

[ "MIT" ]

2

2018-02-18T03:41:04.000Z

2018-11-21T11:08:49.000Z

plot_normballs.py

onurboyar/notes

2ec14820af044c2cfbc99bc989338346572a5e24

[ "MIT" ]

138

2015-10-04T21:57:21.000Z

2021-06-15T19:35:55.000Z

import numpy as np import matplotlib as mpl import matplotlib.pylab as plt def norm_ball(p): step = np.pi/128 THETA = np.arange(0, 2*np.pi+step, step) X = np.mat(np.zeros((2,len(THETA)))) for i, theta in enumerate(THETA): x = (np.cos(theta), np.sin(theta)) a = (1/(np.abs(x[0])**p + np...

22.697674

59

0.57582

176

976

3.136364

0.403409

0.01087

0.032609

0

0.043364

0.220287

976

43

60

22.697674

0.681997

0.05123

0

0.010834

0

1

0.033333

false

0

0.1

0

0.166667

0

null

0

null

0

1

0

5c29a79bfc65dc7f4164e897bed8d0b6f6931bee

6,281

py

Python

reviewboard/manage.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

reviewboard/manage.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

reviewboard/manage.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

def check_dependencies(settings): pyver = sys.version_info[:2] if pyver < PYTHON_2_MIN_VERSION or (3, 0) <= pyver < PYTHON_3_MIN_VERSION: dependency_error("Python %s or %s+ is required." % (PYTHON_2_MIN_VERSION_STR, PYTHON_3_MIN_VERSION_STR)) if not is_exe_in_path("node"): dependency_error("node (from NodeJS) wa...

54.617391

343

0.704824

940

6,281

4.571277

0.285106

0.018152

0.022341

0.035839

0.218059

0.173377

0.134745

0.119386

0.098906

0

0.005066

0.151409

6,281

115

344

54.617391

0.801126

0.064003

0

0.180952

0

0.485695

0.032894

0

1

0.038095

false

0.028571

0.019048

0

0.066667

0.038095

0

null

0

null

0

1

0

5c2d351ff240445b749489807879c9a82ce4996e

1,528

py

Python

train/train.py

sahandilshan/PruneLM

318c90af6d2f0802ddcef39a0ade62f41926fda0

[ "Apache-2.0" ]

null

train/train.py

sahandilshan/PruneLM

318c90af6d2f0802ddcef39a0ade62f41926fda0

[ "Apache-2.0" ]

null

train/train.py

sahandilshan/PruneLM

318c90af6d2f0802ddcef39a0ade62f41926fda0

[ "Apache-2.0" ]

null

from torch import nn from tqdm import tqdm import math from train.utils import get_batch, repackage_hidden def train(model, criterion, optimizer, num_tokens, train_data, epoch_no, epochs, batch_size=256, sequence_length=6): # Turn on training mode which enables dropout. assert num_tokens is not None...

39.179487

119

0.662304

210

1,528

4.671429

0.504762

0.045872

0.026504

0

0.011121

0.234948

1,528

38

120

40.210526

0.828058

0.231675

0

0.023993

0.017995

0

0.037037

1

0.037037

false

0

0.148148

0

0.222222

0

null

0

null

0

1

0

5c2fa77cba3144e55f33531814d2f04bc1677219

4,961

py

Python

day24.py

drewbrew/advent-of-code-2020

543635d0fd71a85c6a957dcff4e878af7415469c

[ "Apache-2.0" ]

null

day24.py

drewbrew/advent-of-code-2020

543635d0fd71a85c6a957dcff4e878af7415469c

[ "Apache-2.0" ]

null

day24.py

drewbrew/advent-of-code-2020

543635d0fd71a85c6a957dcff4e878af7415469c

[ "Apache-2.0" ]

null

"""Day 24: Lobby layout Coordinate system taken from https://www.redblobgames.com/grids/hexagons/#coordinates """ from collections import defaultdict from day23 import REAL_INPUT from typing import Dict, List, Tuple MOVES = { "e": [1, -1, 0], "w": [-1, 1, 0], "se": [0, -1, 1], "sw": [-1, 0, 1], ...

27.258242

86

0.599274

645

4,961

4.497674

0.303876

0.028956

0.026543

0.033781

0.192003

0.165115

0.15443

0.11789

0.104791

0

0.047659

0.285225

4,961

181

87

27.40884

0.770446

0.073171

0

0.115646

0

0.163902

0.131165

0

0.020408

1

0.047619

false

0.006803

0.020408

0

0.108844

0.020408

0

null

0

null

0

1

0

5c3309eff3593cc991ca6b9ae1c54999360fde55

840

py

Python

holmes/migrations/versions/37881a97d680_create_user_table.py

scorphus/holmes-api

6b3c76d4299fecf2d8799d7b5c3c6a6442cacd59

[ "MIT" ]

null

holmes/migrations/versions/37881a97d680_create_user_table.py

scorphus/holmes-api

6b3c76d4299fecf2d8799d7b5c3c6a6442cacd59

[ "MIT" ]

null

holmes/migrations/versions/37881a97d680_create_user_table.py

scorphus/holmes-api

6b3c76d4299fecf2d8799d7b5c3c6a6442cacd59

[ "MIT" ]

null

"""create user table Revision ID: 37881a97d680 Revises: d8f500d9168 Create Date: 2014-02-10 15:52:50.366173 """ # revision identifiers, used by Alembic. revision = '37881a97d680' down_revision = 'd8f500d9168' from alembic import op import sqlalchemy as sa def upgrade(): op.create_table( 'users', ...

22.105263

62

0.625

103

840

4.990291

0.533981

0.077821

0.046693

0.081712

0

0.097978

0.234524

840

37

63

22.702703

0.7014

0.172619

0

0.151383

0

1

0.090909

false

0

0.090909

0

0.181818

0

null

0

null

0

1

0

5c36603505642a938a1b3d00b8392601cbdd9272

2,235

py

Python

src/data/make_dataset.py

AlanGanem/fastai-flow

f5b873fd3bdf917be0bd958b144214d0568df15c

[ "MIT" ]

null

src/data/make_dataset.py

AlanGanem/fastai-flow

f5b873fd3bdf917be0bd958b144214d0568df15c

[ "MIT" ]

null

src/data/make_dataset.py

AlanGanem/fastai-flow

f5b873fd3bdf917be0bd958b144214d0568df15c

[ "MIT" ]

null

# -*- coding: utf-8 -*- import click import logging from pathlib import Path #from dotenv import find_dotenv, load_dotenv import pandas as pd import tqdm import numpy as np #@click.command() #@click.argument('input_filepath', type=click.Path(exists=True)) #@click.argument('output_filepath', type=click.Path()) def main...

32.391304

119

0.635347

290

2,235

4.768966

0.496552

0.040492

0.032538

0.030369

0.096891

0

0.003442

0.220134

2,235

68

120

32.867647

0.790017

0.310962

0

0.045455

0

0.045455

0.284672

0.071666

0

1

0.022727

false

0

0.136364

0

0.159091

0.022727

0

null

0

null

0

1

0

5c370945df28f172815f20a5fdc6617f23cc8f02

1,989

py

Python

server/core/server.py

Den4200/immortals

2c3e3316f498ade2f301f43748fc95f5fbe9daf2

[ "MIT" ]

null

server/core/server.py

Den4200/immortals

2c3e3316f498ade2f301f43748fc95f5fbe9daf2

[ "MIT" ]

2

2021-06-08T20:59:31.000Z

2021-09-08T01:49:50.000Z

server/core/server.py

Den4200/immortals

2c3e3316f498ade2f301f43748fc95f5fbe9daf2

[ "MIT" ]

null

import asyncio import time import zmq import zmq.asyncio from pymunk import Vec2d from zmq import Socket from .constants import SERVER_TICK from .events.events import PlayerEvent from .events.movement import apply_movement from .events.states import GameState, PlayerState async def main(): future = asyncio.Futu...

24.555556

74

0.635998

256

1,989

4.738281

0.3125

0.096455

0.059357

0.249794

0.072547

0

0.009543

0.262443

1,989

80

75

24.8625

0.817314

0.008547

0

0.163934

0

0.024873

0

1

0.016393

false

0.032787

0.163934

0

0.180328

0.032787

0

null

0

null

0

1

0

5c37e14295bfcedd72a3433670777db43f247942

1,945

py

Python

cerberus/tests/test_rule_schema.py

pykler/cerberus

8765b317442c002a84e556bd5d9677b868e6deb2

[ "0BSD" ]

2,020

2017-03-08T13:24:00.000Z

2022-03-30T19:46:02.000Z

cerberus/tests/test_rule_schema.py

pykler/cerberus

8765b317442c002a84e556bd5d9677b868e6deb2

[ "0BSD" ]

281

2017-03-08T23:05:10.000Z

2022-03-25T01:37:04.000Z

cerberus/tests/test_rule_schema.py

pykler/cerberus

8765b317442c002a84e556bd5d9677b868e6deb2

[ "0BSD" ]

171

2017-03-10T17:27:41.000Z

2022-03-16T06:43:34.000Z

from cerberus import errors from cerberus.tests import assert_fail, assert_success def test_schema(validator): field = 'a_dict' subschema_field = 'address' assert_success({field: {subschema_field: 'i live here', 'city': 'in my own town'}}) assert_fail( schema={ field: { ...

29.029851

87

0.515681

175

1,945

5.577143

0.28

0.114754

0.08709

0.090164

0.182377

0.135246

0

0.004702

0.343959

1,945

66

88

29.469697

0.760188

0

0.118644

0

0.110026

0

0.152542

1

0.033898

false

0.016949

0.033898

0

0.067797

0

null

0

null

0

1

0

5c3901f50ecda0c64af94d368538bfb5042b9562

4,216

py

Python

facetool/classify.py

hay/facetool

3e296f7b177ebbcceb4b25f12f3327c3f6612f14

[ "MIT" ]

29

2018-12-10T22:40:07.000Z

2022-03-30T02:56:28.000Z

facetool/classify.py

hay/facetool

3e296f7b177ebbcceb4b25f12f3327c3f6612f14

[ "MIT" ]

2

2020-02-21T09:48:37.000Z

2021-03-06T22:33:45.000Z

facetool/classify.py

hay/facetool

3e296f7b177ebbcceb4b25f12f3327c3f6612f14

[ "MIT" ]

7

2019-08-09T09:19:12.000Z

2022-03-30T02:56:27.000Z

import logging logger = logging.getLogger(__name__) from .profiler import Profiler from . import config, resnet profiler = Profiler("classify.py") import os import cv2 import dlib import numpy as np import tensorflow as tf from imutils.face_utils import FaceAligner from imutils.face_utils import rect_to_bb profiler....

35.133333

100

0.58278

500

4,216

4.68

0.328

0.038889

0.016667

0.019231

0.063248

0.041026

0

0.014946

0.3176

4,216

120

101

35.133333

0.798401

0.002372

0

0.030612

0

0.04446

0

1

0.061224

false

0

0.112245

0.010204

0.255102

0

null

0

null

0

1

0

5c3c1abdd5938c1500009922bfaa382eec74fe54

6,318

py

Python

pycalc/data_sr.py

Hirico/supic

3cb5f3edc59d433fd65a2b638f796cad7126431b

[ "MIT" ]

4

2017-07-18T10:24:11.000Z

2018-02-19T12:43:47.000Z

pycalc/data_sr.py

Hirico/supic

3cb5f3edc59d433fd65a2b638f796cad7126431b

[ "MIT" ]

null

pycalc/data_sr.py

Hirico/supic

3cb5f3edc59d433fd65a2b638f796cad7126431b

[ "MIT" ]

1

2017-07-16T01:40:20.000Z

import tensorflow as tf import argument_sr from os.path import join from PIL import Image import os from numpy import array """ fliker image data by pil """ def pil_batch_queue(): lrs ,hr2s , hr4s = argument_sr.options.get_pil_file_list() lrs = array(lrs) hr2s = array(hr2s) hr4s = array(hr4s) ...

33.252632

135

0.662235

897

6,318

4.377926

0.181717

0.042781

0.064935

0.025974

0.654698

0.617774

0.586707

0.566845

0

0.028062

0.227287

6,318

189

136

33.428571

0.776321

0.034821

0

0.444444

0

0.009097

0

1

0.071429

false

0

0.047619

0

0.166667

0.02381

0

null

0

null

0

1

0

5c3f4f20d10436d040d5804e29572c8cb06bf2d7

15,927

py

Python

dipper/sources/BioGrid.py

putmantime/dipper

583d76207877096a84a98a379c904ea9c960c400

[ "BSD-3-Clause" ]

null

dipper/sources/BioGrid.py

putmantime/dipper

583d76207877096a84a98a379c904ea9c960c400

[ "BSD-3-Clause" ]

null

dipper/sources/BioGrid.py

putmantime/dipper

583d76207877096a84a98a379c904ea9c960c400

[ "BSD-3-Clause" ]

1

2022-01-04T14:34:33.000Z

import os import logging import re from datetime import datetime from stat import ST_CTIME from zipfile import ZipFile from dipper import config from dipper.sources.Source import Source from dipper.models.Model import Model from dipper.models.assoc.InteractionAssoc import InteractionAssoc from dipper.models.Dataset i...

37.475294

108

0.54348

1,697

15,927

4.952269

0.296405

0.00476

0.00595

0.005712

0.155878

0.121966

0.08841

0.080795

0.074607

0.061637

0

0.040186

0.353174

15,927

424

109

37.563679

0.775578

0.204056

0

0.173913

0

0.191335

0.037043

0

0.007075

0

1

0.032609

false

0

0.047101

0

0.123188

0

null

0

null

0

1

0

5c42f7d286d116445c758adc9f9639297784a6e6

10,084

py

Python

test_mimecat.py

xuzheliang135/mimecat

4502e49e86951b02d61bfa7a52392f2ea74190f5

[ "MIT" ]

null

test_mimecat.py

xuzheliang135/mimecat

4502e49e86951b02d61bfa7a52392f2ea74190f5

[ "MIT" ]

1

2021-06-25T15:19:49.000Z

test_mimecat.py

xuzheliang135/mimecat

4502e49e86951b02d61bfa7a52392f2ea74190f5

[ "MIT" ]

1

2020-02-13T11:43:11.000Z

# -*- coding: utf-8 -*- import os import unittest from StringIO import StringIO from mimecat import (Catalogue, _canonicalize_extension, _parse_file, _parse_line) TEST_MIME_TYPES = """ # This file maps Internet media types to unique file extension(s). # Although created for httpd, this file is us...

38.636015

80

0.671559

1,236

10,084

5.250809

0.182848

0.056857

0.113713

0.074422

0.587365

0.530663

0.478274

0.453467

0.417411

0.373035

0

0.008834

0.214201

10,084

260

81

38.784615

0.810197

0.013487

0

0.273171

0

0.204847

0.017096

0

0.317073

1

0.141463

false

0

0.019512

0

0.165854

0

null

0

null

0

1

0

5c45f38fe38fa77cbec0c1601f2b98424a73d9e6

17,404

py

Python

query.py

emmanuelsalawu/tp-db

5f495876cf68bf2f1158e3781c79118072e097be

[ "Apache-2.0" ]

null

query.py

emmanuelsalawu/tp-db

5f495876cf68bf2f1158e3781c79118072e097be

[ "Apache-2.0" ]

null

query.py

emmanuelsalawu/tp-db

5f495876cf68bf2f1158e3781c79118072e097be

[ "Apache-2.0" ]

null

from __future__ import print_function """ Author: Emmanuel Salawu Email: dr.emmanuel.salawu@gmail.com Copyright 2016 Emmanuel Salawu 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 L...

38

458

0.579924

2,099

17,404

4.635541

0.213911

0.024049

0.025899

0.027749

0.20853

0.173279

0.106269

0.090647

0.071737

0

0.058569

0.283843

17,404

457

459

38.083151

0.72208

0.114169

0

0.09375

0

0.010417

0.085542

0.016403

0

1

0.076389

false

0.003472

0.024306

0.013889

0.173611

0.017361

0

null

0

null

0

1

0

5c46184c6fec988857f84fb1a16cfb0fcdf021e8

1,745

py

Python

tunepy2/optimizers/optimizer_basic.py

efortner/tunepy

28ab7aa0b851d42cf2a81a5573fb24b261daba89

[ "MIT" ]

null

tunepy2/optimizers/optimizer_basic.py

efortner/tunepy

28ab7aa0b851d42cf2a81a5573fb24b261daba89

[ "MIT" ]

null

tunepy2/optimizers/optimizer_basic.py

efortner/tunepy

28ab7aa0b851d42cf2a81a5573fb24b261daba89

[ "MIT" ]

null

from tunepy2 import Genome from tunepy2.interfaces import AbstractOptimizer, AbstractGenomeFactory, AbstractConvergenceCriterion class BasicOptimizer(AbstractOptimizer): """ A very simple optimizer that builds new Genomes until convergence is satisfied. """ def __init__( self, ...

31.160714

101

0.66533

171

1,745

6.567251

0.380117

0.057881

0.0748

0.046305

0.051647

0

0.001576

0.272779

1,745

55

102

31.727273

0.883373

0.282521

0

0.08

0

1

0.16

false

0

0.08

0

0.36

0

null

0

null

0

1

0

5c499791997ea36839195aeb1485030e5ba2db60

4,759

py

Python

pygrn/grns/gpu.py

nico1as/pyGRN

115d9d42dfbd374fc64393cabefb2a8e245aa6b7

[ "Apache-2.0" ]

7

2018-07-18T16:08:51.000Z

2020-12-09T07:18:35.000Z

pygrn/grns/gpu.py

nico1as/pyGRN

115d9d42dfbd374fc64393cabefb2a8e245aa6b7

[ "Apache-2.0" ]

3

2018-04-13T11:44:59.000Z

2018-04-19T13:58:06.000Z

pygrn/grns/gpu.py

nico1as/pyGRN

115d9d42dfbd374fc64393cabefb2a8e245aa6b7

[ "Apache-2.0" ]

6

2018-07-22T01:54:14.000Z

2021-08-04T16:01:38.000Z

from copy import deepcopy from .classic import ClassicGRN import numpy as np import tensorflow as tf class GPUGRN(ClassicGRN): def __init__(self): pass def reset(self): self.concentration = np.ones( len(self.identifiers)) * (1.0/len(self.identifiers)) self.tf_input_conc =...

41.382609

76

0.59046

597

4,759

4.463987

0.144054

0.091932

0.085553

0.089306

0.531332

0.485178

0.468668

0.449156

0.419512

0.376735

0

0.012162

0.308888

4,759

114

77

41.745614

0.798115

0

0.33

0

1

0.11

false

0.01

0.04

0.01

0.22

0

null

0

null

0

1

0

5c49b9a646a94f624602a019444beba6bd5601aa

10,892

py

Python

experiments/classification_experiments.py

utkarsh512/Ad-hominem-fallacies

7234173726a359e80492b2919e40ea1a9a0119d1

[ "Apache-2.0" ]

null

experiments/classification_experiments.py

utkarsh512/Ad-hominem-fallacies

7234173726a359e80492b2919e40ea1a9a0119d1

[ "Apache-2.0" ]

null

experiments/classification_experiments.py

utkarsh512/Ad-hominem-fallacies

7234173726a359e80492b2919e40ea1a9a0119d1

[ "Apache-2.0" ]

null

# modified for custom training and testing on GPU by Utkarsh Patel from classifiers import AbstractTokenizedDocumentClassifier from embeddings import WordEmbeddings from nnclassifiers import StackedLSTMTokenizedDocumentClassifier, CNNTokenizedDocumentClassifier from nnclassifiers_experimental import StructuredSelfAtte...

40.340741

182

0.689772

1,249

10,892

5.895116

0.18735

0.009779

0.02173

0.014125

0.63466

0.61809

0.595817

0.570691

0.561456

0

0.009006

0.21502

10,892

269

183

40.490706

0.852164

0.099431

0

0.668342

0

0.005025

0.128478

0.04153

0

0.035176

1

0.055276

false

0

0.095477

0

0.160804

0.095477

0

null

0

null

0

1

0

3083adebeba13826315956aee8985f1e8da7705d

1,550

py

Python

book_to_wordforms.py

timokoola/suomicollectorscripts

b2e52047fcc14116058e4673052f142a5861e00a

[ "Apache-2.0" ]

null

book_to_wordforms.py

timokoola/suomicollectorscripts

b2e52047fcc14116058e4673052f142a5861e00a

[ "Apache-2.0" ]

null

book_to_wordforms.py

timokoola/suomicollectorscripts

b2e52047fcc14116058e4673052f142a5861e00a

[ "Apache-2.0" ]

null

import requests, libvoikko, json, collections, sys if len(sys.argv) > 1: filename = sys.argv[1] else: print("Need a url that points to a text file") sys.exit(0) r = requests.get(filename) normalized = r.text.split() v = libvoikko.Voikko("fi") word_forms = [ (word, v.analyze(word)) for word in normal...

20.666667

84

0.556129

223

1,550

3.793722

0.336323

0.042553

0.021277

0.047281

0.104019

0

0.005401

0.283226

1,550

75

85

20.666667

0.756076

0.003226

0

0.072727

0

0.110104

0

1

0.036364

false

0

0.018182

0.036364

0.090909

0.036364

0

null

0

null

0

1

0

3084f8f882e9fb444232a3f9dc40223a7c80dd37

1,648

py

Python

ellipticcurve/signature.py

zohaibd4l/ecdsa-python

7e4d78a8d1d90bed2ae974f7ba90f98d29f87cac

[ "MIT" ]

76

2018-09-02T17:04:41.000Z

2022-03-23T08:06:57.000Z

ellipticcurve/signature.py

zohaibd4l/ecdsa-python

7e4d78a8d1d90bed2ae974f7ba90f98d29f87cac

[ "MIT" ]

11

2018-12-28T16:30:05.000Z

2022-01-15T23:32:31.000Z

ellipticcurve/signature.py

zohaibd4l/ecdsa-python

7e4d78a8d1d90bed2ae974f7ba90f98d29f87cac

[ "MIT" ]

21

2019-01-15T23:08:35.000Z

2022-01-04T15:41:10.000Z

from .utils.compatibility import * from .utils.der import parse, encodeConstructed, encodePrimitive, DerFieldType from .utils.binary import hexFromByteString, byteStringFromHex, base64FromByteString, byteStringFromBase64 class Signature: def __init__(self, r, s, recoveryId=None): self.r = r self....

33.632653

106

0.677184

159

1,648

6.968553

0.314465

0.025271

0.079422

0.046931

0

0.016667

0.235437

1,648

48

107

34.333333

0.862698

0

0.078947

0

1

0.184211

false

0

0.078947

0.052632

0.473684

0

null

0

null

0

1

0

3086472fb9e3853923fb7e30229a986a449fd0f4

1,691

py

Python

showroompodcast/showroom_podcast.py

road-master/showroom-podcast

71221b361cabd40e70aa4e8710292b20398e0ab5

[ "MIT" ]

null

showroompodcast/showroom_podcast.py

road-master/showroom-podcast

71221b361cabd40e70aa4e8710292b20398e0ab5

[ "MIT" ]

1

2021-08-22T07:35:13.000Z

showroompodcast/showroom_podcast.py

road-master/showroom-podcast

71221b361cabd40e70aa4e8710292b20398e0ab5

[ "MIT" ]

null

"""Main module.""" import asyncio import logging from pathlib import Path from asynccpu import ProcessTaskPoolExecutor from showroompodcast import CONFIG from showroompodcast.archiving_task_manager import ArchivingTaskManager from showroompodcast.showroom_archiver import TIME_TO_FORCE_TARMINATION, ShowroomArchiver fr...

40.261905

117

0.746304

190

1,691

6.357895

0.426316

0.078642

0.04553

0.054636

0

0.186872

1,691

41

118

41.243902

0.878545

0.01715

0

1

0.064516

false

0

0.290323

0

0.387097

0

null

0

null

0

1

0

308a170bee23a8817d6391c877b12dec983c3913

3,239

py

Python

utils/HttpTools.py

atChenAn/SimpleJmeter

34c11c3d325a4633adb6324758abb2023e05fac1

[ "MIT" ]

null

utils/HttpTools.py

atChenAn/SimpleJmeter

34c11c3d325a4633adb6324758abb2023e05fac1

[ "MIT" ]

null

utils/HttpTools.py

atChenAn/SimpleJmeter

34c11c3d325a4633adb6324758abb2023e05fac1

[ "MIT" ]

null

# coding=utf-8 import requests from PyQt5.QtCore import QThread, pyqtSignal from urllib import request, parse from utils import LogTools sysLog = LogTools.SysLogs() class Http: signal = None # 括号里填写信号传递的参数 # init 初始化部分 def __init__(self): self.signal = pyqtSignal(object) # ===============...

25.912

108

0.543069

271

3,239

6.346863

0.398524

0.023256

0.030233

0.036047

0.246512

0.206977

0

0.002213

0.302563

3,239

124

109

26.120968

0.759185

0.221673

0

0.303571

0

0.054618

0

1

0.160714

false

0

0.071429

0

0.357143

0.035714

0

null

0

null

0

1

0

308b99133cba1b420b98e1026e82294464c485e7

6,293

py

Python

keyboard.py

doitintl/mac-keymappings

e2a78213a9c383e31e9e8f4817f46767f693256a

[ "MIT" ]

null

keyboard.py

doitintl/mac-keymappings

e2a78213a9c383e31e9e8f4817f46767f693256a

[ "MIT" ]

null

keyboard.py

doitintl/mac-keymappings

e2a78213a9c383e31e9e8f4817f46767f693256a

[ "MIT" ]

null

import re import typing import xml.etree.ElementTree as ET from unicodedata import name from typing import * from jinja2 import Template keylayout_file = 'keylayout_file' keylayout_xml = keylayout_file + '.xml' keylayout_html = keylayout_file + '.html' TOFU = '\ufffd' def mapindex_by_modifier(map_to_modifier: Dict[i...

38.607362

152

0.608613

788

6,293

4.640863

0.282995

0.049221

0.073831

0.02461

0.18321

0.1102

0.100082

0.080941

0

0.008266

0.269506

6,293

162

153

38.845679

0.786382

0.111553

0

0.017241

0.23545

0.014597

0

0.008621

1

0.103448

false

0.008621

0.051724

0.008621

0.25

0

null

0

null

0

1

0

30901a41bb25b4bd3ce2983a3e73c05998cafcb0

1,394

py

Python

tests/test_gln.py

jodal/biip

ea56a53a8999f3ded04be881c3348b1b9a373d22

[ "Apache-2.0" ]

17

2020-06-30T08:07:31.000Z

2022-03-26T08:14:24.000Z

tests/test_gln.py

jodal/biip

ea56a53a8999f3ded04be881c3348b1b9a373d22

[ "Apache-2.0" ]

117

2020-08-12T14:32:11.000Z

2022-03-28T04:07:48.000Z

tests/test_gln.py

jodal/biip

ea56a53a8999f3ded04be881c3348b1b9a373d22

[ "Apache-2.0" ]

1

2020-11-23T23:15:58.000Z

"""Tests of parsing GLNs.""" import pytest from biip import ParseError from biip.gln import Gln from biip.gs1 import GS1Prefix def test_parse() -> None: gln = Gln.parse("1234567890128") assert gln == Gln( value="1234567890128", prefix=GS1Prefix(value="123", usage="GS1 US"), payload=...

22.852459

80

0.643472

176

1,394

4.9375

0.3125

0.048331

0.069045

0.051784

0.35443

0.330265

0.252014

0.162255

0

0.149577

0.237446

1,394

60

81

23.233333

0.667921

0.015782

0

0.282051

0

0.24451

0

0.153846

1

0.153846

false

0

0.102564

0

0.25641

0

null

0

null

0

1

0

30909c4ad0b0995022dfe80c45b1417b387a7f7d

3,523

py

Python

web/views.py

Chaixi/My-Django-Demo

43cea290f4a4a1c1a3b981eae3be11cc1188b103

[ "MIT" ]

null

web/views.py

Chaixi/My-Django-Demo

43cea290f4a4a1c1a3b981eae3be11cc1188b103

[ "MIT" ]

null

web/views.py

Chaixi/My-Django-Demo

43cea290f4a4a1c1a3b981eae3be11cc1188b103

[ "MIT" ]

null

from django.shortcuts import render from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator from django.views.decorators.csrf import csrf_exempt import json from django.core import serializers # Create your views here. from django.http import HttpResponse from django.http.response import JsonResponse ...

35.94898

100

0.640931

465

3,523

4.655914

0.189247

0.035566

0.051732

0.064665

0.466975

0.371824

0.356582

0.194919

0.177367

0

0.008056

0.224808

3,523

97

101

36.319588

0.784694

0.147885

0

0.171875

0

0.079168

0

1

0.0625

false

0.015625

0.125

0

0.25

0.03125

0

null

0

null

0

1

0

3094ceba4f2b42b31ff34703aec38ad0bb23b36e

658

py

Python

tests/unit/utils/test_beta.py

cwegrzyn/records-mover

e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2

[ "Apache-2.0" ]

36

2020-03-17T11:56:51.000Z

2022-01-19T16:03:32.000Z

tests/unit/utils/test_beta.py

cwegrzyn/records-mover

e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2

[ "Apache-2.0" ]

60

2020-03-02T23:13:29.000Z

2021-05-19T15:05:42.000Z

tests/unit/utils/test_beta.py

cwegrzyn/records-mover

e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2

[ "Apache-2.0" ]

4

2020-08-11T13:17:37.000Z

2021-11-05T21:11:52.000Z

from records_mover.utils import beta, BetaWarning import unittest from unittest.mock import patch @patch('records_mover.utils.warnings') class TestBeta(unittest.TestCase): def test_beta(self, mock_warnings): @beta def my_crazy_function(): return 123 out = my_crazy_function() ...

34.631579

90

0.571429

67

658

5.41791

0.58209

0.057851

0.123967

0

0.016706

0.363222

658

18

91

36.555556

0.849642

0

0.159574

0.042553

0

0.133333

1

0.133333

false

0

0.2

0.066667

0.466667

0

null

0

null

0

1

0

30959754a6e2c8e563632f08b50d266c0db6795c

4,835

py

Python

msqure.py

Levi-Huynh/JS-INTERVIEW

768e5577fd8f3f26c244154be9d9fd5a348f6171

[ "MIT" ]

null

msqure.py

Levi-Huynh/JS-INTERVIEW

768e5577fd8f3f26c244154be9d9fd5a348f6171

[ "MIT" ]

null

msqure.py

Levi-Huynh/JS-INTERVIEW

768e5577fd8f3f26c244154be9d9fd5a348f6171

[ "MIT" ]

null

""" Mag Square #always do Detective work nm what UNDERSTAND -nxn matrix of distinctive pos INT from 1 to n^2 -Sum of any row, column, or diagonal of length n is always equal to the same number: "Mag" constant -Given: 3x3 matrix s of integers in the inclusive range [1,9] we can convert any digit a to any othe...

24.668367

150

0.535677

976

4,835

2.653689

0.217213

0.075676

0.025483

0.037066

0.351351

0.318147

0.282239

0.273745

0.27027

0

0.114207

0.250259

4,835

196

151

24.668367

0.600276

0.705895

0

0.071001

0

1

0.03125

false

0

0.03125

0

0.0625

0

null

0

null

0

1

0

3095b3e9337fe55ac442949b05abdd6196442a62

1,371

py

Python

scripts/common/rename.py

andrewsanchez/GenBankQC-Workflow

8e630ca89c3f1a3cd9d6b2c4987100e3552d831e

[ "MIT" ]

1

2020-03-19T13:00:30.000Z

scripts/common/rename.py

andrewsanchez/GenBankQC-Workflow

8e630ca89c3f1a3cd9d6b2c4987100e3552d831e

[ "MIT" ]

null

scripts/common/rename.py

andrewsanchez/GenBankQC-Workflow

8e630ca89c3f1a3cd9d6b2c4987100e3552d831e

[ "MIT" ]

null

import re def parse_genome_id(genome): genome_id = re.search("GCA_[0-9]*.[0-9]", genome).group() return genome_id def rm_duplicates(seq): """Remove duplicate strings during renaming """ seen = set() seen_add = seen.add return [x for x in seq if not (x in seen or seen_add(x))] def clean...

30.466667

79

0.648432

184

1,371

4.559783

0.342391

0.095352

0.081049

0.109654

0.183552

0.06913

0

0.003656

0.202042

1,371

44

80

31.159091

0.763254

0.070751

0

0.0625

0

0.108108

0.035771

0

1

0.125

false

0

0.03125

0

0.28125

0

null

0

null

0

1

0

30963bad8971717768000852380d252200fb7adb

1,598

py

Python

example/fetch.py

bh2smith/duneapi

835d69fc0b62876b1ac313ac5c21faedd80a8350

[ "Apache-2.0" ]

1

2022-03-15T18:58:33.000Z

example/fetch.py

bh2smith/duneapi

835d69fc0b62876b1ac313ac5c21faedd80a8350

[ "Apache-2.0" ]

6

2022-03-25T08:18:52.000Z

2022-03-28T13:52:28.000Z

example/fetch.py

bh2smith/duneapi

835d69fc0b62876b1ac313ac5c21faedd80a8350

[ "Apache-2.0" ]

null

"""Sample Fetch script from DuneAnalytics""" from __future__ import annotations from dataclasses import dataclass from datetime import datetime from src.duneapi.api import DuneAPI from src.duneapi.types import Network, QueryParameter, DuneQuery from src.duneapi.util import open_query @dataclass class Record: ""...

30.730769

85

0.655194

193

1,598

5.274611

0.507772

0.020629

0.041257

0

0.016155

0.225282

1,598

51

86

31.333333

0.806139

0.145181

0

0.097398

0.0171

0

1

0.055556

false

0

0.166667

0

0.416667

0.027778

0

null

0

null

0

1

0

309e29bd5c11a93e22fbf0abbb2d7d78bdce1323

1,321

py

Python

constants.py

tabilab-dip/sentiment-embeddings

8859a19d19cb96ee0b0da5053396a1c54bab5da6

[ "MIT" ]

7

2020-11-18T10:02:22.000Z

2022-01-06T03:24:37.000Z

constants.py

tabilab-dip/sentiment-embeddings

8859a19d19cb96ee0b0da5053396a1c54bab5da6

[ "MIT" ]

1

2020-10-26T18:56:23.000Z

constants.py

tabilab-dip/sentiment-embeddings

8859a19d19cb96ee0b0da5053396a1c54bab5da6

[ "MIT" ]

1

2020-12-04T13:51:46.000Z

#!/usr/bin/py # -*- coding: utf-8 -*- """ @author: Cem Rıfkı Aydın Constant parameters to be leveraged across the program. """ import os COMMAND = "cross_validate" # Dimension size of embeddings EMBEDDING_SIZE = 100 #Language can be either "turkish" or "english" LANG = "turkish" DATASET_PATH = os.path.join("inpu...

26.42

112

0.7676

199

1,321

4.934673

0.567839

0.01833

0.03055

0.04277

0.094705

0.075356

0

0.008842

0.14383

1,321

49

113

26.959184

0.859416

0.445117

0

0.312925

0.170068

0

1

0

false

0

0.083333

0

0.083333

0

null

0

null

0

1

0

30a37bf131fb4b3429d304093f34cb95cda25236

9,285

py

Python

torpido/io.py

AP-Atul/Torpido

a646b4d6de7f2e2c96de4c64ce3113f53e3931c2

[ "Unlicense" ]

21

2020-12-23T07:13:10.000Z

2022-01-12T10:32:22.000Z

torpido/io.py

AP-Atul/Torpido

a646b4d6de7f2e2c96de4c64ce3113f53e3931c2

[ "Unlicense" ]

2

2020-12-30T10:45:42.000Z

2021-09-25T09:52:00.000Z

torpido/io.py

AP-Atul/Torpido

a646b4d6de7f2e2c96de4c64ce3113f53e3931c2

[ "Unlicense" ]

1

2021-02-06T21:39:41.000Z

""" This file contains function to separate out video and audio using ffmpeg. It consists of two functions to split and merge video and audio using ffmpeg. """ import os from torpido.config.constants import (CACHE_DIR, CACHE_NAME, IN_AUDIO_FILE, OUT_AUDIO_FILE, ...

39.510638

125

0.627464

1,179

9,285

4.597964

0.164546

0.070836

0.055156

0.059768

0.4418

0.37613

0.353994

0.323372

0.290168

0

0.287561

9,285

234

126

39.679487

0.819501

0.294561

0

0.339623

0

0.053498

0.028642

0

1

0.103774

false

0

0.056604

0

0.283019

0.028302

0

null

0

null

0

1

0

30a54810ed9eb56db883cc95109f0ab931d09a5e

605

py

Python

COS120/testPlanet.py

thejayhaykid/Python

641c33b94762f0cace203dcf4cc121571625ab02

[ "MIT" ]

null

COS120/testPlanet.py

thejayhaykid/Python

641c33b94762f0cace203dcf4cc121571625ab02

[ "MIT" ]

null

COS120/testPlanet.py

thejayhaykid/Python

641c33b94762f0cace203dcf4cc121571625ab02

[ "MIT" ]

null

import planetClass def createSomePlanets(): aPlanet=planetClass.Planet("Zorks",2000,30000,100000,5) bPlanet=planetClass.Planet("Zapps",1000,20000,200000,17) print(aPlanet.getName() + " has a radius of " + str(aPlanet.getRadius())) planetList=[aPlanet,bPlanet] for planet in planetList: print...

40.333333

91

0.680992

70

605

5.885714

0.485714

0.097087

0.080097

0.101942

0.203884

0

0.065606

0.168595

605

14

92

43.214286

0.753479

0

0.166667

0

0.128926

0

1

0.083333

false

0

0.083333

0

0.166667

0.333333

0

null

0

null

0

1

0

30a7222ecfe5a24f86695b0a4cf26331038a5731

1,410

py

Python

Source/mincost.py

aarsheem/696-ds

2d74b1e3f430e369202982d7ad8c56f362b00f76

[ "MIT" ]

2

2020-02-12T22:56:40.000Z

2020-02-17T16:59:05.000Z

Source/mincost.py

aarsheem/696-ds

2d74b1e3f430e369202982d7ad8c56f362b00f76

[ "MIT" ]

null

Source/mincost.py

aarsheem/696-ds

2d74b1e3f430e369202982d7ad8c56f362b00f76

[ "MIT" ]

2

2020-02-12T17:25:33.000Z

2021-02-01T20:29:17.000Z

import numpy as np from systemrl.agents.q_learning import QLearning import matplotlib.pyplot as plt from helper import decaying_epsilon, evaluate_interventions from tqdm import tqdm #This is not converging def mincost(env, human_policy, min_performance, agent, num_episodes=1000, max_steps=1000): print("mincost") ...

32.790698

90

0.595745

161

1,410

4.987578

0.42236

0.024907

0.034869

0

0.018028

0.331206

1,410

42

91

33.571429

0.83351

0.015603

0

0.055556

0

0.005047

0

1

0.027778

false

0

0.138889

0

0.194444

0.027778

0

null

0

null

0

1

0

30a791a26136890491f10b4931b42e8e670355a5

2,076

py

Python

server/algorithms.py

sebastianfrey/geoio-server

2f127244adda96d54e7a082f8514f9bdc9c8db97

[ "MIT" ]

null

server/algorithms.py

sebastianfrey/geoio-server

2f127244adda96d54e7a082f8514f9bdc9c8db97

[ "MIT" ]

null

server/algorithms.py

sebastianfrey/geoio-server

2f127244adda96d54e7a082f8514f9bdc9c8db97

[ "MIT" ]

null

"""All algorithms used by geoio-server""" import math import functools import geojson def angle(point_1, point_2): """calculates the angle between two points in radians""" return math.atan2(point_2[1] - point_1[1], point_2[0] - point_1[0]) def convex_hull(collection): """Calculates the convex hull of an ...

32.952381

132

0.66474

286

2,076

4.643357

0.283217

0.045181

0.135542

0.018072

0.108434

0.088855

0

0.032297

0.209538

2,076

62

133

33.483871

0.776965

0.070809

0

0.081547

0

1

0.05

false

0

0.075

0

0.175

0

null

0

null

0

1

0

30a8e19c8a3340ed914debb399aef2df50e28dac

2,495

py

Python

First Project/Exercise2/modified_bisection.py

TasosOperatingInBinary/Numerical-Analysis-Projects

61a8014f2b853a646145cea5a4d3655e100be854

[ "MIT" ]

null

First Project/Exercise2/modified_bisection.py

TasosOperatingInBinary/Numerical-Analysis-Projects

61a8014f2b853a646145cea5a4d3655e100be854

[ "MIT" ]

null

First Project/Exercise2/modified_bisection.py

TasosOperatingInBinary/Numerical-Analysis-Projects

61a8014f2b853a646145cea5a4d3655e100be854

[ "MIT" ]

null

import numpy as np def modified_bisection(f, a, b, eps=5e-6): """ Function that finds a root using modified Bisection method for a given function f(x). On each iteration instead of the middle of the interval, a random number is chosen as the next guess for the root. The function fi...

42.288136

119

0.600401

382

2,495

3.89267

0.314136

0.073974

0.028245

0.02152

0.180901

0.153329

0.114324

0.076664

0

0.009744

0.341884

2,495

58

120

43.017241

0.895859

0.676553

0

0.111111

0

1

0.055556

false

0

0.055556

0

0.333333

0

null

0

null

0

1

0

30a910ea0718b3060e358f1839e61f48a5b25649

8,454

py

Python

dynamic_forms/models.py

juandisay/django-dynamic-forms

761bfea5332fbd4d247a0fa55a19cfc0dd36e3c8

[ "BSD-3-Clause" ]

135

2015-01-16T08:14:23.000Z

2021-12-22T07:21:37.000Z

dynamic_forms/models.py

ayoub-root/django-dynamic-forms

614b9a06f6edfeb3349b7e64cc8820e56535ad59

[ "BSD-3-Clause" ]

33

2015-01-18T13:24:00.000Z

2019-05-03T12:26:17.000Z

dynamic_forms/models.py

ayoub-root/django-dynamic-forms

614b9a06f6edfeb3349b7e64cc8820e56535ad59

[ "BSD-3-Clause" ]

48

2015-01-20T20:04:20.000Z

2022-01-06T10:02:57.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals import json from collections import OrderedDict from django.core.urlresolvers import reverse from django.db import models from django.db.transaction import atomic from django.template.defaultfilters import slugify from django.utils.crypto import get_rand...

38.427273

88

0.62917

1,028

8,454

4.957198

0.2393

0.03022

0.020016

0.018838

0.167975

0.111068

0.091444

0.074568

0.020016

0

0.006209

0.257038

8,454

219

89

38.60274

0.805127

0.075112

0

0.16568

0

0.158738

0.013945

0

1

0.088757

false

0.005917

0.088757

0.023669

0.402367

0

null

0

null

0

1

0

30abf6ce8fba41eb376313eba17a397685a314e9

29,178

py

Python

src/pumpwood_djangoviews/views.py

Murabei-OpenSource-Codes/pumpwood-djangoviews

792fb825a5e924d1b7307c0bc3b40d798b68946d

[ "BSD-3-Clause" ]

null

src/pumpwood_djangoviews/views.py

Murabei-OpenSource-Codes/pumpwood-djangoviews

792fb825a5e924d1b7307c0bc3b40d798b68946d

[ "BSD-3-Clause" ]

null

src/pumpwood_djangoviews/views.py

Murabei-OpenSource-Codes/pumpwood-djangoviews

792fb825a5e924d1b7307c0bc3b40d798b68946d

[ "BSD-3-Clause" ]

null

"""Create views using Pumpwood pattern.""" import os import pandas as pd import simplejson as json from io import BytesIO from django.conf import settings from django.http import HttpResponse from rest_framework.parsers import JSONParser from rest_framework import viewsets, status from rest_framework.response import Re...

38.955941

79

0.579512

3,136

29,178

5.185906

0.122449

0.041936

0.02558

0.015557

0.376437

0.339851

0.317408

0.285126

0.281436

0.250507

0

0.001527

0.326479

29,178

748

80

39.008021

0.826023

0.180753

0

0.314465

0

0.097511

0.001956

0

1

0.039832

false

0

0.039832

0

0.165618

0

null

0

null

0

1

0

30b35825288ae55d3b4e9f3fda30cd87266a239e

4,030

py

Python

test_contest/solutions/ladders.py

tbuzzelli/Veris

b2e9bd5f944a60365de8c18f17e041fa65f9e74a

[ "Apache-2.0" ]

7

2018-09-26T17:17:01.000Z

2020-12-20T17:23:33.000Z

test_contest/solutions/ladders.py

tbuzzelli/Veris

b2e9bd5f944a60365de8c18f17e041fa65f9e74a

[ "Apache-2.0" ]

4

2018-09-26T17:49:24.000Z

2020-12-20T17:15:37.000Z

test_contest/solutions/ladders.py

tbuzzelli/Veris

b2e9bd5f944a60365de8c18f17e041fa65f9e74a

[ "Apache-2.0" ]

1

2021-12-03T17:49:50.000Z

# Written by Will Cromar # Python 3.6 from collections import deque # DX/DY array. In order of precedence, we'll move # left, right, up, and down DX = [-1, 1, 0, 0] DY = [0, 0, -1, 1] # Constants for types of spaces EMPTY = '.' LADDER = '#' CHUTE = '*' START = 'S' EXIT = 'E' # Primary business fu...

29.416058

77

0.525806

606

4,030

3.493399

0.320132

0.014171

0.019839

0.009447

0.140293

0.083609

0.076523

0

0.010285

0.372705

4,030

136

78

29.632353

0.827136

0.368983

0

0.115942

0

0.008872

0

1

0.101449

false

0

0.014493

0.028986

0.202899

0.014493

0

null

0

null

0

1

0

30b3709aef46a9041782b934920c7987f957d49e

1,789

py

Python

fits2fshr.py

rainwoodman/fsfits

e052c159915e7a67f10972c7851d2924afeaa302

[ "MIT" ]

null

fits2fshr.py

rainwoodman/fsfits

e052c159915e7a67f10972c7851d2924afeaa302

[ "MIT" ]

null

fits2fshr.py

rainwoodman/fsfits

e052c159915e7a67f10972c7851d2924afeaa302

[ "MIT" ]

null

import fitsio import fsfits from argparse import ArgumentParser import json import numpy ap = ArgumentParser() ap.add_argument('--check', action='store_true', default=False, help="Test if output contains identical information to input") ap.add_argument('input') ap.add_argument('output') ns = ap.parse_args(...

28.854839

70

0.455562

184

1,789

4.358696

0.380435

0.018703

0.048628

0.041147

0.137157

0.118454

0.074813

0

0.007007

0.441587

1,789

61

71

29.327869

0.795796

0

0.269231

0

0.074902

0

0.057692

1

0.019231

false

0

0.096154

0

0.115385

0

null

0

null

0

1

0

30b43d3abb832538af7887238ea688d9f984e472

4,086

py

Python

window_switcher/window.py

include4eto/linux-appfinder

23b00d7e18760409e53aad7deb0544d7a4850bc3

[ "MIT" ]

2

2018-04-24T22:05:08.000Z

2018-04-25T09:50:37.000Z

window_switcher/window.py

include4eto/linux-appfinder

23b00d7e18760409e53aad7deb0544d7a4850bc3

[ "MIT" ]

1

2018-04-25T09:26:59.000Z

2018-04-25T09:36:43.000Z

window_switcher/window.py

include4eto/window-switcher

23b00d7e18760409e53aad7deb0544d7a4850bc3

[ "MIT" ]

2

2019-11-07T03:43:53.000Z

2021-03-25T12:14:01.000Z

from tkinter import Entry, Listbox, StringVar import sys, tkinter, subprocess from window_switcher.aux import get_windows class Window: FONT = ('Monospace', 11) ITEM_HEIGHT = 22 MAX_FOUND = 10 BG_COLOR = '#202b3a' FG_COLOR = '#ced0db' def resize(self, items): if self.resized: ...

27.986301

98

0.564366

496

4,086

4.52621

0.282258

0.068597

0.057906

0.03029

0.170601

0.158575

0.131849

0

0.01958

0.312531

4,086

145

99

28.17931

0.779637

0.065835

0

0.213592

0

0.037057

0

1

0.087379

false

0

0.029126

0

0.223301

0

null

0

null

0

1

0

30b4986ed423fc0d856c04b8b25dc611fff18369

3,394

py

Python

imcsdk/mometa/bios/BiosVfSgxLePubKeyHash.py

ecoen66/imcsdk

b10eaa926a5ee57cea7182ae0adc8dd1c818b0ab

[ "Apache-2.0" ]

31

2016-06-14T07:23:59.000Z

2021-09-12T17:17:26.000Z

imcsdk/mometa/bios/BiosVfSgxLePubKeyHash.py

sthagen/imcsdk

1831eaecb5960ca03a8624b1579521749762b932

[ "Apache-2.0" ]

109

2016-05-25T03:56:56.000Z

2021-10-18T02:58:12.000Z

imcsdk/mometa/bios/BiosVfSgxLePubKeyHash.py

sthagen/imcsdk

1831eaecb5960ca03a8624b1579521749762b932

[ "Apache-2.0" ]

67

2016-05-17T05:53:56.000Z

2022-03-24T15:52:53.000Z

"""This module contains the general information for BiosVfSgxLePubKeyHash ManagedObject.""" from ...imcmo import ManagedObject from ...imccoremeta import MoPropertyMeta, MoMeta from ...imcmeta import VersionMeta class BiosVfSgxLePubKeyHashConsts: VP_SGX_LE_PUB_KEY_HASH0_PLATFORM_DEFAULT = "platform-default" ...

50.656716

235

0.675015

385

3,394

5.58961

0.231169

0.048792

0.065056

0.092937

0.493959

0.47723

0.192379

0.153346

0.139405

0.079461

0

0.036878

0.177077

3,394

66

236

51.424242

0.73362

0.035946

0

0.042553

0

0.291411

0.103988

0

0.008896

0

1

0.021277

false

0

0.06383

0

0.319149

0

null

0

null

0

1

0

30babde668ddbdfd3b25264b810e1027b167156a

1,791

py

Python

setup.py

naritotakizawa/getsize

25989cdb07e343c6684586768e60363f366f8c71

[ "MIT" ]

1

2017-08-07T18:15:37.000Z

setup.py

naritotakizawa/getsize

25989cdb07e343c6684586768e60363f366f8c71

[ "MIT" ]

null

setup.py

naritotakizawa/getsize

25989cdb07e343c6684586768e60363f366f8c71

[ "MIT" ]

null

import os import sys from setuptools import find_packages, setup from setuptools.command.test import test as TestCommand class PyTest(TestCommand): user_options = [('pytest-args=', 'a', "Arguments to pass to py.test")] def initialize_options(self): TestCommand.initialize_options(self) ...

32.563636

82

0.624232

199

1,791

5.502513

0.547739

0.086758

0.114155

0.094977

0

0.007407

0.246231

1,791

55

83

32.563636

0.803704

0.027359

0

0.33827

0.014218

0

1

0.065217

false

0.021739

0.108696

0

0.217391

0

null

0

null

0

1

0

30bb85a4d211b4c8e0c05cca0ae92e39839b9906

1,194

py

Python

dockwidgetpluginbase.py

sandroklippel/qgis-dockable-plugin

9410d20646155d1fe90ec44caa7d15a607d1e72d

[ "MIT" ]

null

dockwidgetpluginbase.py

sandroklippel/qgis-dockable-plugin

9410d20646155d1fe90ec44caa7d15a607d1e72d

[ "MIT" ]

null

dockwidgetpluginbase.py

sandroklippel/qgis-dockable-plugin

9410d20646155d1fe90ec44caa7d15a607d1e72d

[ "MIT" ]

null

# -*- coding: utf-8 -*- from PyQt5 import QtCore, QtGui, QtWidgets class Ui_DockWidgetPluginBase(object): def setupUi(self, DockWidgetPluginBase): DockWidgetPluginBase.setObjectName("DockWidgetPluginBase") DockWidgetPluginBase.resize(232, 141) self.dockWidgetContents = QtWidgets.QWidget() ...

42.642857

98

0.741206

101

1,194

8.722772

0.465347

0.124858

0.088536

0

0.011964

0.159967

1,194

27

99

44.222222

0.866401

0.064489

0

0.145553

0

1

0.1

false

0

0.05

0

0.2

0

null

0

null

0

1

0

30bc0d5caa2ba95a5a11a4f13508d048a4057cd0

684

py

Python

setup.py

KirstensGitHub/attention-memory-task

c3d4b13e43134d4cc25c277e5f49220ac48ab931

[ "MIT" ]

4

2017-10-30T20:46:25.000Z

2020-10-16T16:28:29.000Z

setup.py

KirstensGitHub/attention-memory-task

c3d4b13e43134d4cc25c277e5f49220ac48ab931

[ "MIT" ]

26

2017-10-30T20:44:07.000Z

2019-10-11T20:07:33.000Z

setup.py

KirstensGitHub/attention-memory-task

c3d4b13e43134d4cc25c277e5f49220ac48ab931

[ "MIT" ]

7

2019-08-21T13:20:41.000Z

2022-03-01T03:25:26.000Z

# -*- coding: utf-8 -*- from setuptools import setup, find_packages with open('README.md') as f: readme = f.read() with open('LICENSE') as f: license = f.read() setup( name='attention-memory-task', version='0.1.0', description='Attention and Memory Experiment', long_description='This reposi...

29.73913

170

0.72076

85

684

5.752941

0.658824

0.04908

0.07771

0

0.006932

0.156433

684

22

171

31.090909

0.840555

0.030702

0

0.504545

0.074242

0

1

0

false

0

0.0625

0

0.0625

0

null

0

null

0

1

0

30bc925cd0ed0b7b60bfef9a34e4c38e0b3fa974

3,659

py

Python

blue_print/testLogReg.py

yimingq/COMP90051-SML

3e1d93d9b1a8cd23f4c05eeb18d615e87d4d6369

[ "Apache-2.0" ]

1

2020-09-16T04:58:49.000Z

blue_print/testLogReg.py

yimingq/COMP90051-SML

3e1d93d9b1a8cd23f4c05eeb18d615e87d4d6369

[ "Apache-2.0" ]

null

blue_print/testLogReg.py

yimingq/COMP90051-SML

3e1d93d9b1a8cd23f4c05eeb18d615e87d4d6369

[ "Apache-2.0" ]

2

2020-03-31T08:55:45.000Z

2020-09-05T14:02:16.000Z

from numpy import * import matplotlib.pyplot as plt import time from LogReg import trainLogRegres, showLogRegres, predicTestData # from sklearn.datasets import make_circles # from sklearn.model_selection import train_test_split # from sklearn.metrics import accuracy_score import csv def loadTrainData(): train_x =...

28.364341

81

0.608363

471

3,659

4.564756

0.284501

0.027907

0.053488

0.022326

0.21814

0.185581

0.148837

0.047442

0

0.0251

0.248702

3,659

128

82

28.585938

0.757003

0.558896

0

0.089669

0.036387

0

1

0.052632

false

0.026316

0.131579

0

0.236842

0.105263

0

null

0

null

0

1

0

30bf63f85cca01c1bcc1223cd6e0ff4f4c12199f

7,652

py

Python

tests/exporter/test_metadata.py

HumanCellAtlas/ingest-common

6a230f9606f64cd787b67c143854db36e012a2b7

[ "Apache-2.0" ]

null

tests/exporter/test_metadata.py

HumanCellAtlas/ingest-common

6a230f9606f64cd787b67c143854db36e012a2b7

[ "Apache-2.0" ]

null

tests/exporter/test_metadata.py

HumanCellAtlas/ingest-common

6a230f9606f64cd787b67c143854db36e012a2b7

[ "Apache-2.0" ]

null

from unittest import TestCase from mock import Mock from ingest.exporter.metadata import MetadataResource, MetadataService, MetadataParseException, MetadataProvenance class MetadataResourceTest(TestCase): def test_provenance_from_dict(self): # given: uuid_value = '3f3212da-d5d0-4e55-b31d-83243f...

42.748603

119

0.604809

733

7,652

6.060027

0.20191

0.057407

0.049527

0.024313

0.507879

0.303692

0.271724

0.188429

0.136875

0

0.060018

0.292342

7,652

178

120

42.988764

0.760295

0.033978

0

0.232759

0

0.187772

0.082745

0

0.25

1

0.077586

false

0

0.025862

0.008621

0.12931

0

null

0

null

0

1

0

30c056f49843fec67503aa5c21f43521e60897d9

5,708

py

Python

src/delivery/delivery.py

ska-telescope/sdp-workflows-procfunc

ef6e7be9584a006e936139ae653902a41af4d906

[ "BSD-3-Clause" ]

null

src/delivery/delivery.py

ska-telescope/sdp-workflows-procfunc

ef6e7be9584a006e936139ae653902a41af4d906

[ "BSD-3-Clause" ]

null

src/delivery/delivery.py

ska-telescope/sdp-workflows-procfunc

ef6e7be9584a006e936139ae653902a41af4d906

[ "BSD-3-Clause" ]

null

""" Prototype Delivery Workflow. """ import os import sys import glob import logging import ska_sdp_config import dask import distributed from google.oauth2 import service_account from google.cloud import storage # Initialise logging logging.basicConfig() LOG = logging.getLogger("delivery") LOG.setLevel(logging.INF...

30.201058

86

0.666608

758

5,708

4.850923

0.220317

0.016318

0.01523

0.026652

0.208866

0.193364

0.132989

0.115583

0.08458

0.065543

0

0.002484

0.224071

5,708

188

87

30.361702

0.827726

0.22267

0

0.130841

0

0.125522

0.009977

0

1

0.046729

false

0.009346

0.084112

0

0.149533

0

null

0

null

0

1

0

30c246c819da13e7b7505537f7f56ed38dc95334

7,516

py

Python

ands/ds/BinaryHeap.py

bssrdf/ands

504d91abfe12d316119424ddcb0ad3df3207ee73

[ "MIT" ]

50

2016-12-14T15:10:39.000Z

2022-03-05T23:32:19.000Z

ands/ds/BinaryHeap.py

bssrdf/ands

504d91abfe12d316119424ddcb0ad3df3207ee73

[ "MIT" ]

58

2016-11-17T23:27:52.000Z

2020-12-30T13:55:46.000Z

ands/ds/BinaryHeap.py

bssrdf/ands

504d91abfe12d316119424ddcb0ad3df3207ee73

[ "MIT" ]

15

2016-12-11T12:43:18.000Z

2020-12-17T12:44:42.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ # Meta-info Author: Nelson Brochado Created: 01/07/2015 Updated: 06/04/2018 # Description Contains the abstract class BinaryHeap. # References - Slides by prof. A. Carzaniga - Chapter 13 of Introduction to Algorithms (3rd ed.) - http://www.math.clemson.edu/~war...

29.245136

112

0.608302

1,090

7,516

4.100917

0.282569

0.028635

0.043624

0.028635

0.230649

0.184116

0.16264

0.10179

0.096197

0

0.018934

0.283262

7,516

256

113

29.359375

0.810841

0.458622

0

0.19

0

0.044846

0.006563

0

0.04

1

0.2

false

0.02

0.03

0.02

0.37

0.01

0

null

0

null

0

1

0

30c2fc61b7992bd51c445c7ef21cc3452bd93e85

2,190

py

Python

product.py

trytonus/trytond-customs-value

ce2097fefab714131fae77ec1f49322141051110

[ "BSD-3-Clause" ]

null

product.py

trytonus/trytond-customs-value

ce2097fefab714131fae77ec1f49322141051110

[ "BSD-3-Clause" ]

1

2016-04-12T18:10:19.000Z

product.py

fulfilio/trytond-customs-value

ce2097fefab714131fae77ec1f49322141051110

[ "BSD-3-Clause" ]

6

2015-08-24T12:44:43.000Z

2016-04-12T10:04:08.000Z

# -*- coding: utf-8 -*- from trytond.pool import PoolMeta from trytond.model import fields from trytond.pyson import Eval, Bool, Not __all__ = ['Product'] __metaclass__ = PoolMeta class Product: "Product" __name__ = 'product.product' country_of_origin = fields.Many2One( 'country.country', 'Cou...

27.375

77

0.636986

238

2,190

5.478992

0.222689

0.128834

0.064417

0.075153

0.41181

0.268405

0.168712

0.115031

0

0.001263

0.276712

2,190

79

78

27.721519

0.82197

0.013699

0

0.21875

0

0.217351

0.108906

0

1

0.0625

false

0

0.046875

0.0625

0.3125

0

null

0

null

0

1

0

30c67023520b45683449e683c5e3f1a8e0df06b5

523

py

Python

samples/indicator/rsi_test.py

gsamarakoon/ParadoxTrading

2c4024e60b14bf630fd141ccd4c77f197b7c901a

[ "MIT" ]

95

2018-01-14T14:35:35.000Z

2021-03-17T02:10:24.000Z

samples/indicator/rsi_test.py

yutiansut/ParadoxTrading

b915d1491663443bedbb048017abeed3f7dcd4e2

[ "MIT" ]

2

2018-01-14T14:35:51.000Z

2018-07-06T02:57:49.000Z

samples/indicator/rsi_test.py

yutiansut/ParadoxTrading

b915d1491663443bedbb048017abeed3f7dcd4e2

[ "MIT" ]

25

2018-01-14T14:38:08.000Z

2020-07-15T16:03:04.000Z

from ParadoxTrading.Chart import Wizard from ParadoxTrading.Fetch.ChineseFutures import FetchDominantIndex from ParadoxTrading.Indicator import RSI fetcher = FetchDominantIndex() market = fetcher.fetchDayData('20100701', '20170101', 'rb') rsi = RSI(14).addMany(market).getAllData() wizard = Wizard() price_view = wiz...

27.526316

66

0.76673

63

523

6.269841

0.460317

0.136709

0.086076

0

0.039832

0.087954

523

18

67

29.055556

0.78826

0

0.091778

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

30c7a9362a7e00f4dea1c4a3028e5f5f01134985

406

py

Python

Multipliers/mult.py

ThoAppelsin/pure-music

ab1a8604cc24b1dbf329a556154d5f0cc7f2236b

[ "MIT" ]

null

Multipliers/mult.py

ThoAppelsin/pure-music

ab1a8604cc24b1dbf329a556154d5f0cc7f2236b

[ "MIT" ]

null

Multipliers/mult.py

ThoAppelsin/pure-music

ab1a8604cc24b1dbf329a556154d5f0cc7f2236b

[ "MIT" ]

null

import fractions from pprint import pprint lcm_limit = 32 octave_limit = 4 candidates = [(x, y) for x in range(1, lcm_limit + 1) for y in range(1, lcm_limit + 1)] candidates = [c for c in candidates if fractions.gcd(c[0], c[1]) == 1 and c[0] * c[1] <= lcm_limit and 1 / octave_limit <= c[0] / c[1] <= octave_limit] ...

25.375

87

0.672414

76

406

3.5

0.342105

0.120301

0.045113

0.06015

0.12782

0

0.050746

0.174877

406

16

88

25.375

0.743284

0

1

0

false

0

0.166667

0

0.166667

0.25

0

null

0

null

0

1

0

30c828d9ab280febb16bf5ef11feff5b3f99b8e8

573

py

Python

Python3/24.swap-nodes-in-pairs.py

canhetingsky/LeetCode

67f4eaeb5746d361056d08df828c653f89dd9fdd

[ "MIT" ]

1

2019-09-23T13:25:21.000Z

Python3/24.swap-nodes-in-pairs.py

canhetingsky/LeetCode

67f4eaeb5746d361056d08df828c653f89dd9fdd

[ "MIT" ]

6

2019-10-25T10:17:50.000Z

2019-11-17T05:07:19.000Z

Python3/24.swap-nodes-in-pairs.py

canhetingsky/LeetCode

67f4eaeb5746d361056d08df828c653f89dd9fdd

[ "MIT" ]

null

# # @lc app=leetcode id=24 lang=python3 # # [24] Swap Nodes in Pairs # # @lc code=start # Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: def swapPairs(self, head: ListNode) -> ListNode: curr = dummyHead =...

19.758621

52

0.556719

78

573

4.038462

0.5

0.126984

0.057143

0

0.015584

0.328098

573

28

53

20.464286

0.802597

0.369983

0

1

0.1

false

0

0.3

0

null

0

null

0

1

0

30cc83890770a4003caacdcf071dce2fdf40b1e0

1,102

py

Python

lesson_01/005.py

amindmobile/geekbrains-python-002

4bc2f7af755d00e73ddc48f1138830cb78e87034

[ "MIT" ]

null

lesson_01/005.py

amindmobile/geekbrains-python-002

4bc2f7af755d00e73ddc48f1138830cb78e87034

[ "MIT" ]

null

lesson_01/005.py

amindmobile/geekbrains-python-002

4bc2f7af755d00e73ddc48f1138830cb78e87034

[ "MIT" ]

null

# Запросите у пользователя значения выручки и издержек фирмы. Определите, с каким финансовым результатом работает фирма # (прибыль — выручка больше издержек, или убыток — издержки больше выручки). Выведите соответствующее сообщение. Если # фирма отработала с прибылью, вычислите рентабельность выручки (соотношение прибы...

55.1

119

0.777677

140

1,102

6.114286

0.564286

0.074766

0.03972

0.051402

0

0.003155

0.137024

1,102

19

120

58

0.892744

0.46461

0

0.519793

0.07401

0

1

0

false

0

0.333333

0

null

0

null

0

1

0

30d0d4d6a16170d4deabeabcc9a6af64c6ea52e2

5,498

py

Python

src/pumpwood_djangoviews/action.py

Murabei-OpenSource-Codes/pumpwood-djangoviews

792fb825a5e924d1b7307c0bc3b40d798b68946d

[ "BSD-3-Clause" ]

null

src/pumpwood_djangoviews/action.py

Murabei-OpenSource-Codes/pumpwood-djangoviews

792fb825a5e924d1b7307c0bc3b40d798b68946d

[ "BSD-3-Clause" ]

null

src/pumpwood_djangoviews/action.py

Murabei-OpenSource-Codes/pumpwood-djangoviews

792fb825a5e924d1b7307c0bc3b40d798b68946d

[ "BSD-3-Clause" ]

null

"""Define actions decorator.""" import inspect import pandas as pd from typing import cast from datetime import date, datetime from typing import Callable from pumpwood_communication.exceptions import PumpWoodActionArgsException class Action: """Define a Action class to be used in decorator action.""" def _...

35.934641

77

0.591124

595

5,498

5.295798

0.247059

0.031736

0.030467

0.019042

0.160584

0.10092

0.066646

0

0.001342

0.322117

5,498

152

78

36.171053

0.844111

0.166788

0

0.153846

0

0.065526

0

1

0.048077

false

0

0.057692

0

0.153846

0

null

0

null

0

1

0

30d36f714ffcf578c5b755784494e079e2271651

5,426

py

Python

logistic-regression/mnist_binary_classifier.py

eliben/deep-learning-samples

d5ca86c5db664fabfb302cbbc231c50ec3d6a103

[ "Unlicense" ]

183

2015-12-29T07:21:24.000Z

2022-01-18T01:19:23.000Z

logistic-regression/mnist_binary_classifier.py

eliben/deep-learning-samples

d5ca86c5db664fabfb302cbbc231c50ec3d6a103

[ "Unlicense" ]

null

logistic-regression/mnist_binary_classifier.py

eliben/deep-learning-samples

d5ca86c5db664fabfb302cbbc231c50ec3d6a103

[ "Unlicense" ]

68

2016-06-02T15:31:51.000Z

2021-09-08T19:58:10.000Z

# A binary linear classifier for MNIST digits. # # Poses a binary classification problem - is this image showing digit D (for # some D, for example "4"); trains a linear classifier to solve the problem. # # Eli Bendersky (http://eli.thegreenplace.net) # This code is in the public domain from __future__ import print_fun...

44.113821

80

0.605418

691

5,426

4.51809

0.250362

0.019218

0.044843

0.046124

0.225176

0.213004

0.155029

0.141576

0.046765

0.032031

0

0.011449

0.291743

5,426

122

81

44.47541

0.800937

0.13509

0

0.097826

0

0.159752

0

1

0

false

0

0.065217

0

0.065217

0.163043

0

null

0

null

0

1

0

30d65ba961b4012c418911d00c91a40240451543

5,409

py

Python

IEEE-ASHRAE_kernel/01_data_minify.py

Daniel1586/Initiative_Kaggle

945e0a2ebe94aa7ee3ed59dd0de53d9a1b82aa05

[ "MIT" ]

1

2019-08-12T14:28:22.000Z

IEEE-ASHRAE_kernel/01_data_minify.py

Daniel1586/Initiative_Kaggle

945e0a2ebe94aa7ee3ed59dd0de53d9a1b82aa05

[ "MIT" ]

null

IEEE-ASHRAE_kernel/01_data_minify.py

Daniel1586/Initiative_Kaggle

945e0a2ebe94aa7ee3ed59dd0de53d9a1b82aa05

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- """ (https://www.kaggle.com/c/ashrae-energy-prediction). Train shape:(590540,394),identity(144233,41)--isFraud 3.5% Test shape:(506691,393),identity(141907,41) ############### TF Version: 1.13.1/Python Version: 3.7 ############### """ import os import math import random impo...

41.290076

95

0.612683

778

5,409

4.062982

0.244216

0.031636

0.034166

0.022145

0.388168

0.319203

0.285353

0.139829

0.094274

0

0.035145

0.210945

5,409

130

96

41.607692

0.705483

0.094842

0

0.158416

0

0.174314

0.010037

0

1

0.019802

false

0

0.069307

0

0.09901

0.19802

0

null

0

null

0

1

0

30d759a40bbb943fa4065bfc1dc4dff7a8c4a0fa

8,774

py

Python

src/optim/DeepSAD_trainer.py

wych1005/Deep-SAD-PyTorch

af93186a38ed30985dc155d1b00b90aa181cfe0b

[ "MIT" ]

null

src/optim/DeepSAD_trainer.py

wych1005/Deep-SAD-PyTorch

af93186a38ed30985dc155d1b00b90aa181cfe0b

[ "MIT" ]

null

src/optim/DeepSAD_trainer.py

wych1005/Deep-SAD-PyTorch

af93186a38ed30985dc155d1b00b90aa181cfe0b

[ "MIT" ]

null

import matplotlib.pyplot as plt from base.base_trainer import BaseTrainer from base.base_dataset import BaseADDataset from base.base_net import BaseNet import seaborn as sns from torch.utils.data.dataloader import DataLoader from sklearn.metrics import roc_auc_score, confusion_matrix, average_precision_score, roc_curve...

39.345291

119

0.574652

1,110

8,774

4.39009

0.214414

0.027909

0.022163

0.01416

0.312333

0.252001

0.208085

0.18387

0.146932

0

0.01714

0.301801

8,774

222

120

39.522523

0.778322

0.083884

0

0.275

0

0.00625

0.086738

0.005908

0

1

0.025

false

0

0.075

0

0.11875

0

null

0

null

0

1

0

30de8aa4ae6150e3acdc0398071ec1e1b7a6910b

1,577

py

Python

server.py

rikuru-to865/Voyeur-with-python

104d61e189912134f38463842a0ee0834dd31129

[ "MIT" ]

null

server.py

rikuru-to865/Voyeur-with-python

104d61e189912134f38463842a0ee0834dd31129

[ "MIT" ]

null

server.py

rikuru-to865/Voyeur-with-python

104d61e189912134f38463842a0ee0834dd31129

[ "MIT" ]

null

import socket import numpy import cv2 import threading import os BUFFER_SIZE = 4096*10 currentPort = 50001 buf = b'' class capture(): def __init__(self,port): self.port = port def recive(self): global buf with socket.socket(socket.AF_INET, socket.SOCK_DGRAM) as s: while T...

26.728814

67

0.496512

169

1,577

4.568047

0.47929

0.015544

0.056995

0.119171

0.098446

0

0.039749

0.393786

1,577

59

68

26.728814

0.767782

0

0.176471

0

0.03929

0

0.002535

0

1

0.058824

false

0

0.098039

0

0.196078

0.058824

0

null

0

null

0

1

0

30e0d9aba329cb35b870099915a7b244906f7302

1,978

py

Python

lcm/lcm/nf/serializers/lccn_filter_data.py

onap/vfc-gvnfm-vnflcm

e3127fee0fdb5bf193fddc74a69312363a6d20eb

[ "Apache-2.0" ]

1

2019-04-02T03:15:20.000Z

lcm/lcm/nf/serializers/lccn_filter_data.py

onap/vfc-gvnfm-vnflcm

e3127fee0fdb5bf193fddc74a69312363a6d20eb

[ "Apache-2.0" ]

null

lcm/lcm/nf/serializers/lccn_filter_data.py

onap/vfc-gvnfm-vnflcm

e3127fee0fdb5bf193fddc74a69312363a6d20eb

[ "Apache-2.0" ]

1

2021-10-15T15:26:47.000Z

# Copyright (C) 2018 Verizon. 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 ...

46

91

0.761375

228

1,978

6.5

0.495614

0.040486

0.037787

0.072874

0.319163

0.244265

0.105263

0

0.004905

0.17543

1,978

42

92

47.095238

0.90374

0.289687

0

0.24

0

0.237239

0.054637

0

1

0

false

0

0.12

0

0.32

0

null

0

null

0

1

0

30e38abbdfe5ba2eb3dbe185a3fb1b8a9ce8a9b5

2,213

py

Python

treeNodeTravelThrewTreeNodes.py

GehartM/german-text-watermarking

f9765702225e0cfdce868eec816ed6e6fd4ffc63

[ "MIT" ]

1

2021-04-08T11:23:46.000Z

treeNodeTravelThrewTreeNodes.py

GehartM/german-text-watermarking

f9765702225e0cfdce868eec816ed6e6fd4ffc63

[ "MIT" ]

null

treeNodeTravelThrewTreeNodes.py

GehartM/german-text-watermarking

f9765702225e0cfdce868eec816ed6e6fd4ffc63

[ "MIT" ]

null

def TravelThrewTreeNodes(currentTreeNode, leftDirections, encodedSign): # Überprüfung, ob die letzte Stelle erreicht wurde. Sollte dies nicht der Fall sein so wird weiter durch den # Baum navigiert if not len(leftDirections) == 1: # Speicherung der nächsten Richtung nextDirection = left...

49.177778

119

0.685043

215

2,213

7.051163

0.404651

0.029024

0.042216

0.063325

0.37467

0

0.005573

0.270221

2,213

44

120

50.295455

0.933127

0.428378

0

0.090909

0

0.00332

0

1

0.090909

false

0

0.181818

0

null

0

null

0

1

0

30e55d7e04ab513adf991395e8e91f97eaca5c02

5,633

py

Python

jarvis/resume/skillset.py

Anubhav722/blahblah

160698e06a02e671ac40de3113cd37d642e72e96

[ "MIT" ]

1

2019-01-03T06:10:04.000Z

jarvis/resume/skillset.py

Anubhav722/blahblah

160698e06a02e671ac40de3113cd37d642e72e96

[ "MIT" ]

1

2021-03-31T19:11:52.000Z

jarvis/resume/skillset.py

Anubhav722/blahblah

160698e06a02e671ac40de3113cd37d642e72e96

[ "MIT" ]

null

skills_list = [ "actionscript", "ado.net", "ajax", "akka", "algorithm", "amazon-ec2", "amazon-s3", "amazon-web-services", "android", "angular", "angularjs", "ansible", "ant", "apache", "apache-camel", "apache-kafka", "apache-poi", "apache-spark", ...

15.867606

32

0.480916

460

5,633

5.884783

0.817391

0.008866

0.007388

0

0.004387

0.312089

5,633

354

33

15.912429

0.694194

0

0.494585

0.0316

0

1

0

false

0

null

0

null

0

1

0

30eaa9dd3051eaa994ef4cd89b26f3deca2ee553

6,054

py

Python

startup/users/30-user-chen_xpcs.py

NSLS-II-SMI/profile_collection

c1e2236a7520f605ac85e7591f05682add06357c

[ "BSD-3-Clause" ]

null

startup/users/30-user-chen_xpcs.py

NSLS-II-SMI/profile_collection

c1e2236a7520f605ac85e7591f05682add06357c

[ "BSD-3-Clause" ]

13

2018-09-25T19:35:08.000Z

2021-01-15T20:42:26.000Z

startup/users/30-user-chen_xpcs.py

NSLS-II-SMI/profile_collection

c1e2236a7520f605ac85e7591f05682add06357c

[ "BSD-3-Clause" ]

3

2019-09-06T01:40:59.000Z

2020-07-01T20:27:39.000Z

def grid_scan_xpcs(): folder = "301000_Chen34" xs = np.linspace(-9350, -9150, 2) ys = np.linspace(1220, 1420, 2) names=['PSBMA5_200um_grid'] energies = [2450, 2472, 2476, 2490] x_off = [0, 60, 0, 60] y_off = [0, 0, 60, 60] xxs, yys = np.meshgrid(xs, ys)...

33.633333

146

0.521143

830

6,054

3.675904

0.249398

0.103245

0.121927

0.105539

0.549

0.490659

0.457883

0.363815

0.319895

0.276303

0

0.136216

0.339115

6,054

180

147

33.633333

0.626343

0

0.356522

0

0.114121

0.042775

0

1

0.043478

false

0

0.043478

0.034783

0

null

0

null

0

1

0

30f29e0855bb09fb75ab5994617d326c1d54e876

9,298

py

Python

hl7tools.py

cdgramos/Sublime-Text-3---HL7-Plug-In

b4b821f272460fa970c019c261ded552c724fee7

[ "MIT" ]

8

2018-03-01T14:38:01.000Z

2020-02-28T22:41:34.000Z

hl7tools.py

cdgramos/Sublime-Text-3---HL7-Plug-In

b4b821f272460fa970c019c261ded552c724fee7

[ "MIT" ]

19

2018-04-13T21:13:08.000Z

2021-09-02T22:48:53.000Z

hl7tools.py

cdgramos/Sublime-Text-3---HL7-Plug-In

b4b821f272460fa970c019c261ded552c724fee7

[ "MIT" ]

1

2020-05-18T21:43:46.000Z

import sublime import sublime_plugin import re import webbrowser from .lib.hl7Event import * from .lib.hl7Segment import * from .lib.hl7TextUtils import * hl7EventList = hl7Event("","") hl7EventList = hl7EventList.loadEventList() hl7SegmentList = hl7Segment("","") hl7SegmentList = hl7SegmentList.loadSegmentList() S...

26.490028

120

0.61766

1,036

9,298

5.511583

0.212355

0.021016

0.035727

0.042032

0.355867

0.290893

0.240455

0.209457

0.170228

0.142032

0

0.014436

0.22521

9,298

350

121

26.565714

0.778179

0.11368

0

0.307692

0

0.004808

0.082907

0.008644

0

1

0.028846

false

0

0.033654

0

0.086538

0.009615

0

null

0

null

0

1

0

30f2e9dc143ed93952cacd555538c812b12a36a2

8,220

py

Python

gen_data/yolo_label.py

KevinLADLee/CARLA_INVS

b23249500ffbafdb312a71d17b0dfef4191672f0

[ "MIT" ]

null

gen_data/yolo_label.py

KevinLADLee/CARLA_INVS

b23249500ffbafdb312a71d17b0dfef4191672f0

[ "MIT" ]

null

gen_data/yolo_label.py

KevinLADLee/CARLA_INVS

b23249500ffbafdb312a71d17b0dfef4191672f0

[ "MIT" ]

null

#!/usr/bin/python3 import argparse import time import cv2 import glob import sys from pathlib import Path import numpy as np import pandas as pd import yaml from multiprocessing.dummy import Pool as ThreadPool sys.path.append(Path(__file__).resolve().parent.parent.as_posix()) # repo path sys.path.append(Path(__file...

40.895522

123

0.550243

1,008

8,220

4.246032

0.301587

0.022897

0.029439

0.168925

0.131776

0.107477

0.051402

0.02243

0

0.025234

0.310584

8,220

200

124

41.1

0.730016

0.103528

0

0.052632

0

0.122054

0.003269

0

1

0.039474

false

0

0.072368

0

0.157895

0.039474

0

null

0

null

0

1

0

30f35ff68fe1eac3b585ba8e3b6bf7e40042a3c9

3,004

py

Python

tr/acs_config_test.py

DentonGentry/gfiber-catawampus

b01e4444f3c7f12b1af7837203b37060fd443bb7

[ "Apache-2.0" ]

2

2017-10-03T16:06:29.000Z

2020-09-08T13:03:13.000Z

tr/acs_config_test.py

DentonGentry/gfiber-catawampus

b01e4444f3c7f12b1af7837203b37060fd443bb7

[ "Apache-2.0" ]

null

tr/acs_config_test.py

DentonGentry/gfiber-catawampus

b01e4444f3c7f12b1af7837203b37060fd443bb7

[ "Apache-2.0" ]

1

2017-05-07T17:39:02.000Z

#!/usr/bin/python # Copyright 2011 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 appli...

31.957447

78

0.734687

387

3,004

5.602067

0.423773

0.062269

0.02214

0.027675

0.255535

0.129151

0.074723

0

0.003559

0.158123

3,004

93

79

32.301075

0.853697

0.296937

0

0.132075

0

0.069264

0.012987

0

0.207547

1

0.09434

false

0

0.132075

0

0.245283

0

null

0

null

0

1

0

30f3fff33de30496fe028fef08f8b083e40facf8

2,941

py

Python

src/tests/integration/api_test_client.py

doitintl/elastic-event-store

ad00f1fbecf430432c306d5917984d9f9ff522f4

[ "MIT" ]

22

2021-02-02T17:11:55.000Z

2021-12-19T15:00:26.000Z

src/tests/integration/api_test_client.py

vladikk/elastic-event-store

ad00f1fbecf430432c306d5917984d9f9ff522f4

[ "MIT" ]

8

2021-02-04T19:21:25.000Z

2021-02-08T07:48:06.000Z

src/tests/integration/api_test_client.py

vladikk/elastic-event-store

ad00f1fbecf430432c306d5917984d9f9ff522f4

[ "MIT" ]

4

2021-02-02T16:58:26.000Z

2021-07-17T04:17:43.000Z

import boto3 import os import requests class ApiTestClient(): api_endpoint: str some_metadata = { 'timestamp': '123123', 'command_id': '456346234', 'issued_by': 'test@test.com' } some_events = [ { "type": "init", "foo": "bar" }, { "type": "update", "foo": ...

35.865854

148

0.615097

352

2,941

4.872159

0.286932

0.057726

0.069971

0.050729

0.26414

0.16793

0.094461

0.06414

0.044315

0

0.009035

0.284937

2,941

82

149

35.865854

0.806467

0

0.174603

0

0.253569

0.07036

0

1

0.079365

false

0

0.047619

0.015873

0.253968

0

null

0

null

0

1

0

30f6d4afaaa493162b41239409c7176bc51a45d0

2,785

py

Python

validation/synthetic_promoters.py

umarov90/DeepREFind

c3b24b760f3829ea8ed6ba6ed7db76cf90c45a9e

[ "Apache-2.0" ]

1

2022-03-16T07:39:10.000Z

validation/synthetic_promoters.py

umarov90/DeepREFind

c3b24b760f3829ea8ed6ba6ed7db76cf90c45a9e

[ "Apache-2.0" ]

2

2021-11-04T14:58:52.000Z

2022-02-11T04:28:32.000Z

validation/synthetic_promoters.py

umarov90/ReFeaFi

c3b24b760f3829ea8ed6ba6ed7db76cf90c45a9e

[ "Apache-2.0" ]

null

#!/usr/bin/env python import os os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]="0" import common as cm import tensorflow as tf import numpy as np import math from scipy import stats from Bio.Seq import Seq half_size = 500 batch_size = 128 scan_step = 1 seq_len = 1001 out = [] os.chdi...

39.785714

111

0.596409

400

2,785

3.925

0.39

0.04586

0.030573

0.043312

0.2

0.110828

0.029299

0

0.062171

0.249192

2,785

70

112

39.785714

0.688666

0.022621

0

0.109886

0.033811

0

1

0

false

0

0.114754

0

0.114754

0.016393

0

null

0

null

0

1

0

30f85e513a4285e63e608e0444128184121a5ac0

865

py

Python

dojos/lendico/sinais.py

ramalho/tdd-com-pytest

edae805ddf2267d8e08eea6ab344242217f52043

[ "BSD-3-Clause" ]

15

2018-05-25T16:17:08.000Z

2020-04-02T21:39:41.000Z

dojos/lendico/sinais.py

ramalho/tdd-com-pytest

edae805ddf2267d8e08eea6ab344242217f52043

[ "BSD-3-Clause" ]

null

dojos/lendico/sinais.py

ramalho/tdd-com-pytest

edae805ddf2267d8e08eea6ab344242217f52043

[ "BSD-3-Clause" ]

1

2021-04-19T21:27:17.000Z

#!/usr/bin/env python3 import sys def search(query, data): query = query.replace('-',' ') words = set(query.upper().split()) for code, char, name in data: name = name.replace('-',' ') if words <= set(name.split()): yield f'{code}\t{char}\t{name}' def reader(): with open('U...

23.378378

65

0.543353

116

865

3.965517

0.474138

0.047826

0.052174

0

0.012903

0.283237

865

36

66

24.027778

0.729032

0.024277

0

0.118624

0.026097

0

1

0.115385

false

0

0.038462

0

0.192308

0.115385

0

null

0

null

0

1

0

30f86263cd9609adb5d7644c7670d39fe1c0be15

6,154

py

Python

bms_2/app01/views.py

luyl1017713252/python

3b30cffa85b625e512415fa882b4bc7708a5e0b8

[ "MulanPSL-1.0" ]

null

bms_2/app01/views.py

luyl1017713252/python

3b30cffa85b625e512415fa882b4bc7708a5e0b8

[ "MulanPSL-1.0" ]

null

bms_2/app01/views.py

luyl1017713252/python

3b30cffa85b625e512415fa882b4bc7708a5e0b8

[ "MulanPSL-1.0" ]

null

import json from django.shortcuts import render, redirect, HttpResponse # Create your views here. from django.urls import reverse from app01 import models from app01.models import Book, Publish, Author, AuthorDetail def books(request): book_list = Book.objects.all() publish_list = Publish.objects.all() ...

35.165714

124

0.647221

782

6,154

4.938619

0.098465

0.076903

0.083376

0.034438

0.564215

0.487053

0.399275

0.347488

0.279907

0.245469

0

0.001847

0.207995

6,154

175

125

35.165714

0.790521

0.012837

0

0.415493

0

0.11166

0

1

0.091549

false

0

0.035211

0

0.267606

0.021127

0

null

0

null

0

1

0

30fcb43dd0f69d332ab19924f865fff8aca3d2e2

3,642

py

Python

chatbot/scripts/interactive_slack.py

check-spelling/learning

a3b031cf8fe766ad97e023ec1f3177389778853b

[ "Apache-2.0" ]

2

2021-08-24T05:20:48.000Z

2021-09-30T18:03:46.000Z

chatbot/scripts/interactive_slack.py

check-spelling/learning

a3b031cf8fe766ad97e023ec1f3177389778853b

[ "Apache-2.0" ]

null

chatbot/scripts/interactive_slack.py

check-spelling/learning

a3b031cf8fe766ad97e023ec1f3177389778853b

[ "Apache-2.0" ]

3

2021-07-24T23:19:45.000Z

2021-12-27T04:20:45.000Z

#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. """ Talk with a model using a Slack channel. # Examples ```shell parlai interactive_slack --token xoxb-... --task blend...

33.412844

155

0.7095

496

3,642

5.092742

0.40121

0.019002

0.030879

0.015835

0.029295

0

0.003383

0.188358

3,642

108

156

33.722222

0.85115

0.136189

0

0.030303

0

0.204443

0.009036

0

1

0.060606

false

0

0.166667

0.030303

0.30303

0.015152

0

null

0

null

0

1

0

30fd7f4d4cd4681834c31425f77246c6aabccc27

2,542

py

Python

plywood/plugins/include.py

colinta/plywood

49cf98f198da302ec66e11338320c6b72b642ffa

[ "BSD-2-Clause-FreeBSD" ]

1

2015-06-11T06:17:42.000Z

plywood/plugins/include.py

colinta/plywood

49cf98f198da302ec66e11338320c6b72b642ffa

[ "BSD-2-Clause-FreeBSD" ]

null

plywood/plugins/include.py

colinta/plywood

49cf98f198da302ec66e11338320c6b72b642ffa

[ "BSD-2-Clause-FreeBSD" ]

null

''' Includes content from another template. If you assign any keyword arguments, those will be available in the scope of that template. ''' import os from plywood import Plywood from plywood.values import PlywoodValue from plywood.exceptions import InvalidArguments from plywood.env import PlywoodEnv @PlywoodEnv.reg...

31

95

0.611723

298

2,542

5.110738

0.338926

0.047275

0.044649

0.026264

0.072226

0.03677

0

0.001641

0.280881

2,542

81

96

31.382716

0.83151

0.083006

0

0.126984

0

0.077486

0

1

0.031746

false

0

0.079365

0

0.126984

0

null

0

null

0

1

0

a5011c8dc68549aa930d5e1f66b7f91d841322f1

388

py

Python

segundos.py

rafabentoss/courses

ced3f5447dea38220b904678c601ed2bf7f2b0f1

[ "CC0-1.0" ]

null

segundos.py

rafabentoss/courses

ced3f5447dea38220b904678c601ed2bf7f2b0f1

[ "CC0-1.0" ]

null

segundos.py

rafabentoss/courses

ced3f5447dea38220b904678c601ed2bf7f2b0f1

[ "CC0-1.0" ]

null

segundos_str = int(input("Por favor, entre com o número de segundos que deseja converter:")) dias=segundos_str//86400 segs_restantes1=segundos_str%86400 horas=segs_restantes1//3600 segs_restantes2=segs_restantes1%3600 minutos=segs_restantes2//60 segs_restantes_final=segs_restantes2%60 print(dias,"dias,",hora...

38.8

93

0.796392

55

388

5.381818

0.490909

0.111486

0.108108

0

0.07932

0.090206

388

10

94

38.8

0.759207

0

0.242105

0

1

0

false

0

0.125

0

null

0

null

0

1

0

a501d89e850c922d43a99061a0daa6321c93954a

870

py

Python

src/balloons.py

cloudzfy/pychallenge

1af98a632021532e136721d282b0e7c2cbc519a3

[ "MIT" ]

3

2016-07-23T03:31:46.000Z

2019-08-22T01:23:07.000Z

src/balloons.py

cloudzfy/pychallenge

1af98a632021532e136721d282b0e7c2cbc519a3

[ "MIT" ]

null

src/balloons.py

cloudzfy/pychallenge

1af98a632021532e136721d282b0e7c2cbc519a3

[ "MIT" ]

3

2017-05-22T09:41:20.000Z

2018-09-06T02:05:19.000Z

import urllib import StringIO import gzip from difflib import Differ from binascii import unhexlify import Image src = urllib.urlopen('http://huge:file@www.pythonchallenge.com/pc/return/deltas.gz').read() file = gzip.GzipFile(fileobj=StringIO.StringIO(src)) left = [] right = [] for line in file.readlines(): left.ap...

24.166667

91

0.654023

119

870

4.781513

0.428571

0.112478

0.063269

0.100176

0.330404

0.235501

0.101933

0

0.030105

0.121839

870

35

92

24.857143

0.71466

0

0.082759

0

1

0

false

0

0.206897

0

0.206897

0

null

0

null

0

1

0

a506b736c248be3b528126847b39f395938649f3

11,437

py

Python

workload_auto/vsphere_helper.py

CiscoDevNet/dcnm-workload-automation

36d439f0351b88492d21160c534e1260b9d43ca8

[ "Apache-2.0" ]

null

workload_auto/vsphere_helper.py

CiscoDevNet/dcnm-workload-automation

36d439f0351b88492d21160c534e1260b9d43ca8

[ "Apache-2.0" ]

null

workload_auto/vsphere_helper.py

CiscoDevNet/dcnm-workload-automation

36d439f0351b88492d21160c534e1260b9d43ca8

[ "Apache-2.0" ]

1

2020-07-07T14:53:14.000Z

# Copyright 2020 Cisco Systems, 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 la...

40.129825

80

0.607677

1,635

11,437

4.036697

0.160856

0.02197

0.019091

0.013333

0.345

0.262576

0.226818

0.179394

0.145

0.134394

0

0.001414

0.319927

11,437

284

81

40.271127

0.847133

0.26117

0

0.299401

0

0.071419

0

1

0.095808

false

0

0.017964

0

0.299401

0

null

0

null

0

1

0

a5083f8e81dde75a4b99510e59a13a9684a3d9d3

1,042

py

Python

TextureConversion/Scripts/InvertYellowNormal.py

Beatbox309/Unity-Texture-Conversion

19fd59c34b8d6c1e528db8f220700d5b1ccef5a1

[ "MIT" ]

null

TextureConversion/Scripts/InvertYellowNormal.py

Beatbox309/Unity-Texture-Conversion

19fd59c34b8d6c1e528db8f220700d5b1ccef5a1

[ "MIT" ]

null

TextureConversion/Scripts/InvertYellowNormal.py

Beatbox309/Unity-Texture-Conversion

19fd59c34b8d6c1e528db8f220700d5b1ccef5a1

[ "MIT" ]

null

from PIL import Image from PIL import ImageChops import pathlib import sys sys.path.append(str(pathlib.Path(__file__).parent.absolute())) import TextureConversionMain as tcm def Convert(normPath): # setup ogNorm = Image.open(normPath) normTuple = tcm.SplitImg(ogNorm) print("Images Loaded...

26.05

86

0.673704

118

1,042

5.881356

0.483051

0.043228

0.060519

0.051873

0.092219

0

0.01182

0.1881

1,042

39

87

26.717949

0.808511

0.034549

0

0.073728

0

1

0.04

false

0

0.2

0

0.24

0.12

0

null

0

null

0

1

0

a508b46bb0fbec56198e8d643e6c23a47a292553

1,695

py

Python

mininet_scripts/simple_net.py

kulawczukmarcin/mypox

b6a0a3cbfc911f94d0ed2ba5c968025879691eab

[ "Apache-2.0" ]

null

mininet_scripts/simple_net.py

kulawczukmarcin/mypox

b6a0a3cbfc911f94d0ed2ba5c968025879691eab

[ "Apache-2.0" ]

null

mininet_scripts/simple_net.py

kulawczukmarcin/mypox

b6a0a3cbfc911f94d0ed2ba5c968025879691eab

[ "Apache-2.0" ]

null

__author__ = 'Ehsan' from mininet.node import CPULimitedHost from mininet.topo import Topo from mininet.net import Mininet from mininet.log import setLogLevel, info from mininet.node import RemoteController from mininet.cli import CLI """ Instructions to run the topo: 1. Go to directory where this fil is. 2. ru...

26.904762

79

0.635988

218

1,695

4.844037

0.444954

0.072917

0.036932

0.039773

0

0.086381

0.241888

1,695

62

80

27.33871

0.735409

0.126254

0

0.087094

0

1

0.057143

false

0

0.171429

0

0.257143

0

null

0

null

0

1

0

a509787b777a426526c085c8fcec56b5e9a290ec

5,806

py

Python

.ci/watchdog/MSTeamsCommunicator.py

NervanaSystems/ngraph-onnx

7fdb4e503a796ef3871927c550d1245e37cb6ffa

[ "Apache-2.0", "MIT" ]

47

2018-03-17T00:30:59.000Z

2021-11-14T17:18:57.000Z

.ci/watchdog/MSTeamsCommunicator.py

NervanaSystems/ngraph-onnx

7fdb4e503a796ef3871927c550d1245e37cb6ffa

[ "Apache-2.0", "MIT" ]

272

2018-03-22T14:31:09.000Z

2022-03-24T20:51:04.000Z

.ci/watchdog/MSTeamsCommunicator.py

NervanaSystems/ngraph-onnx

7fdb4e503a796ef3871927c550d1245e37cb6ffa

[ "Apache-2.0", "MIT" ]

20

2018-04-03T14:53:58.000Z

2021-03-13T01:21:26.000Z

#!/usr/bin/python3 # INTEL CONFIDENTIAL # Copyright 2018-2020 Intel Corporation # The source code contained or described herein and all documents related to the # source code ("Material") are owned by Intel Corporation or its suppliers or # licensors. Title to the Material remains with Intel Corporation or its # suppl...

40.319444

92

0.59783

651

5,806

5.208909

0.360983

0.02949

0.022117

0.026541

0.160425

0.078738

0.048953

0.023592

0

0.006101

0.322425

5,806

143

93

40.601399

0.855872

0.505167

0

0.035088

0

0.101621

0

1

0.122807

false

0

0.017544

0

0.210526

0

null

0

null

0

1

0

a50994e7a70e911cc583b9d0550f81e22ad4842b

4,301

py

Python

script/create_buy_point_data_window.py

AtlantixJJ/vnpy

28992c7d5391f6dd42a14b481d01ceafde048b5f

[ "MIT" ]

null

script/create_buy_point_data_window.py

AtlantixJJ/vnpy

28992c7d5391f6dd42a14b481d01ceafde048b5f

[ "MIT" ]

null

script/create_buy_point_data_window.py

AtlantixJJ/vnpy

28992c7d5391f6dd42a14b481d01ceafde048b5f

[ "MIT" ]

null

"""Create wave training data. Automatically annotate data by identifying waves. The begining, middle and ending are obtained. Windows around these points are collected as training data. They are organized in years. """ import sys, glob, os path = os.getcwd() sys.path.insert(0, ".") from datetime import datetime from v...

33.341085

81

0.56359

648

4,301

3.608025

0.307099

0.017964

0.021386

0.120616

0.09923

0.051326

0.021386

0

0.038208

0.294118

4,301

129

82

33.341085

0.731884

0.096024

0

0.076923

0

0.081074

0.022205

0

1

0.019231

false

0

0.096154

0.009615

0.134615

0

null

0

null

0

1

0

a50cc4e2779045bd523e797e37d15a965dda09d9

5,784

py

Python

{{cookiecutter.dir_name}}/script.py

TAMU-CPT/cc_automated_drf_template

c538f01ea90bae98ee051a6a2fd977d3dd595cde

[ "BSD-3-Clause" ]

14

2016-10-07T21:59:03.000Z

2020-03-03T17:08:49.000Z

{{cookiecutter.dir_name}}/script.py

TAMU-CPT/cc_automated_drf_template

c538f01ea90bae98ee051a6a2fd977d3dd595cde

[ "BSD-3-Clause" ]

6

2016-10-07T19:48:21.000Z

2019-03-14T12:41:50.000Z

{{cookiecutter.dir_name}}/script.py

TAMU-CPT/drf_template

c538f01ea90bae98ee051a6a2fd977d3dd595cde

[ "BSD-3-Clause" ]

3

2017-03-15T08:32:04.000Z

2018-02-05T22:09:50.000Z

import ast, _ast, subprocess, os, argparse def write_files(app_name): models = {} # parse models.py with open('%s/models.py' % app_name) as models_file: m = ast.parse(models_file.read()) for i in m.body: if type(i) == _ast.ClassDef: models[i.name] = {} ...

45.1875

158

0.510028

658

5,784

4.357143

0.231003

0.056505

0.03488

0.050227

0.222881

0.164981

0.134287

0.09557

0.03488

0

0.004916

0.331777

5,784

127

159

45.543307

0.736869

0.009682

0

0.113402

0

0.30706

0.087207

0.020619

0

1

0.041237

false

0

0.134021

0

0.175258

0

null

0

null

0

1

0

a50f9f33df8927431578a0e644348f580030945d

975

py

Python

BackendAPI/customuser/utils.py

silvioramalho/django-startup-rest-api

b984ee6be27990d29ab3df7cdd446bb63ee3ee34

[ "MIT" ]

9

2020-05-23T14:42:00.000Z

2022-03-04T12:21:00.000Z

BackendAPI/customuser/utils.py

silvioramalho/django-startup-rest-api

b984ee6be27990d29ab3df7cdd446bb63ee3ee34

[ "MIT" ]

6

2020-05-14T21:34:09.000Z

2021-09-22T19:01:15.000Z

BackendAPI/customuser/utils.py

silvioramalho/django-startup-rest-api

b984ee6be27990d29ab3df7cdd446bb63ee3ee34

[ "MIT" ]

1

2022-03-04T12:20:52.000Z

from datetime import datetime from calendar import timegm from rest_framework_jwt.compat import get_username, get_username_field from rest_framework_jwt.settings import api_settings def jwt_otp_payload(user, device = None): """ Opcionalmente inclui o Device TOP no payload do JWT """ username_field = ...

28.676471

70

0.683077

124

975

5.129032

0.451613

0.121069

0.132075

0.075472

0

0.241026

975

34

71

28.676471

0.859459

0.133333

0

0.038601

0

1

0.047619

false

0

0.190476

0

0.285714

0

null

0

null

0

1

0

a511699f0080c5e2bd9b9726e7f19dac525f2d43

3,781

py

Python

extras/tally_results_ucf24.py

salmank255/ROADSlowFast

e939d8f79fe3eb6f3dd32e967a34530d00f45c8e

[ "Apache-2.0" ]

null

extras/tally_results_ucf24.py

salmank255/ROADSlowFast

e939d8f79fe3eb6f3dd32e967a34530d00f45c8e

[ "Apache-2.0" ]

null

extras/tally_results_ucf24.py

salmank255/ROADSlowFast

e939d8f79fe3eb6f3dd32e967a34530d00f45c8e

[ "Apache-2.0" ]

null

""" This script load and tally the result of UCF24 dataset in latex format. """ import os import json def run_exp(cmd): return os.system(cmd) if __name__ == '__main__': base = '/mnt/mercury-alpha/ucf24/cache/resnet50' modes = [['frames',['frame_actions', 'action_ness', 'action']], ['video',...

47.860759

244

0.370008

371

3,781

3.649596

0.358491

0.036189

0.026588

0.025111

0.196455

0.149188

0

0.049947

0.496958

3,781

79

245

47.860759

0.661935

0.034118

0

0.2

0

0.033333

0.135165

0.070055

0

1

0.016667

false

0

0.033333

0.016667

0.066667

0

null

0

null

0

1

0

a5140c77514670cc1d68ea51faa3667ecc7cdf73

10,325

py

Python

src/acquisition/wiki/wiki_download.py

eujing/delphi-epidata

7281a7525b20e48147049229a9faa0cb97340427

[ "MIT" ]

1

2021-12-29T04:00:21.000Z

src/acquisition/wiki/wiki_download.py

eujing/delphi-epidata

7281a7525b20e48147049229a9faa0cb97340427

[ "MIT" ]

1

2020-07-14T15:35:15.000Z

2020-07-16T17:56:30.000Z

src/acquisition/wiki/wiki_download.py

eujing/delphi-epidata

7281a7525b20e48147049229a9faa0cb97340427

[ "MIT" ]

4

2020-09-17T13:47:02.000Z

2020-10-27T19:40:11.000Z

""" =============== === Purpose === =============== Downloads wiki access logs and stores unprocessed article counts See also: wiki.py Note: for maximum portability, this program is compatible with both Python2 and Python3 and has no external dependencies (e.g. running on AWS) ================= === Changelog === =...

35.97561

144

0.644262

1,435

10,325

4.520557

0.261324

0.029135

0.02374

0.024665

0.217204

0.120857

0.08756

0.049946

0

0.022551

0.214044

10,325

286

145

36.101399

0.776833

0.214625

0

0.217617

0

0.005181

0.17822

0.003983

0

1

0.036269

false

0.031088

0.082902

0.005181

0.160622

0.176166

0

null

0

null

0

1

0

a51500997a9858263339a466d1f8dbc998e0d17e

851

py

Python

app/main.py

BloomTech-Labs/family-promise-service-tracker-ds-a

1190c1f5fce55ec265a8a42b968aa1f8aea52ac6

[ "MIT" ]

4

2021-08-02T20:45:37.000Z

2021-09-03T19:42:55.000Z

app/main.py

BloomTech-Labs/family-promise-service-tracker-ds-a

1190c1f5fce55ec265a8a42b968aa1f8aea52ac6

[ "MIT" ]

22

2021-06-02T19:28:21.000Z

2021-09-15T15:09:48.000Z

app/main.py

Lambda-School-Labs/family-promise-service-tracker-ds-a

1190c1f5fce55ec265a8a42b968aa1f8aea52ac6

[ "MIT" ]

12

2021-06-02T09:30:14.000Z

2021-09-27T20:21:00.000Z

from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from app import db, viz, eligibility, metrics, geocode app = FastAPI( title='DS API - Family Promise', docs_url='/', version='0.39.6', ) app.include_router(db.router, tags=['Database']) app.include_router(viz.router, tags=['V...

25.029412

60

0.703878

107

851

5.420561

0.495327

0.086207

0.137931

0

0.00554

0.151586

851

33

61

25.787879

0.797784

0

0.121715

0

1

0

false

0

0.173913

0

0.173913

0

null

0

null

0

1

0

a515480d246a94b3a03edbf99bee0fcd4f9d88f2

2,033

py

Python

scripts/make_binarized_masks.py

GUIEEN/acres

ed2ab521bbec866d1588216abfce8532ce28a5e9

[ "MIT" ]

10

2019-01-03T15:31:03.000Z

2020-03-19T06:14:50.000Z

scripts/make_binarized_masks.py

GUIEEN/acres

ed2ab521bbec866d1588216abfce8532ce28a5e9

[ "MIT" ]

3

2020-05-11T12:13:15.000Z

2021-01-03T02:13:10.000Z

scripts/make_binarized_masks.py

GUIEEN/acres

ed2ab521bbec866d1588216abfce8532ce28a5e9

[ "MIT" ]

3

2020-07-26T12:58:18.000Z

2021-04-09T10:56:23.000Z

""" Take a directory of images and their segmentation masks (which only contain two classes - inside and outside) and split the inside class into black and white. Save the resulting masks. """ import argparse import os import numpy as np import cv2 def show(img): cv2.namedWindow("image", cv2.WINDOW_NORMAL) c...

34.457627

109

0.638465

292

2,033

4.297945

0.407534

0.038247

0.040637

0.033466

0.172112

0.049402

0

0.035849

0.217905

2,033

58

110

35.051724

0.753459

0.160354

0

0.054054

0

0.072019

0

1

0.081081

false

0

0.108108

0

0.216216

0.027027

0

null

0

null

0

1

0

a51637bfb757b0164488ef03723963eb419dd5ee

6,293

py

Python

initialize.py

WiseDoge/Text-Classification-PyTorch

9371eeed6bd7ecf1d529c8f2a6c997fcde67a559

[ "MIT" ]

6

2019-08-04T13:24:24.000Z

2020-09-28T12:12:21.000Z

initialize.py

WiseDoge/Text-Classification-PyTorch

9371eeed6bd7ecf1d529c8f2a6c997fcde67a559

[ "MIT" ]

null

initialize.py

WiseDoge/Text-Classification-PyTorch

9371eeed6bd7ecf1d529c8f2a6c997fcde67a559

[ "MIT" ]

null

from typing import List, Dict from collections import defaultdict from pathlib import Path from util import save_dataset, save_word_dict, save_embedding import torch import argparse import nltk import re import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(level...

37.458333

139

0.658033

914

6,293

4.272429

0.198031

0.057362

0.025352

0.012292

0.262228

0.141357

0.101408

0.089117

0.048656

0.03073

0

0.005264

0.21516

6,293

167

140

37.682635

0.785382

0.023518

0

0.06015

0

0.007519

0.135206

0.010287

0

1

0.067669

false

0

0.067669

0

0.195489

0

null

0

null

0

1

0

a517e42fabf9ac9063a6459d9056fdf167f23154

9,422

py

Python

src/BERT_NER/utils_preprocess/anntoconll.py

philippeitis/StackOverflowNER

2a1efd8d88356de4a04e510a5ccfe85992fc8d8c

[ "MIT" ]

null

src/BERT_NER/utils_preprocess/anntoconll.py

philippeitis/StackOverflowNER

2a1efd8d88356de4a04e510a5ccfe85992fc8d8c

[ "MIT" ]

null

src/BERT_NER/utils_preprocess/anntoconll.py

philippeitis/StackOverflowNER

2a1efd8d88356de4a04e510a5ccfe85992fc8d8c

[ "MIT" ]

null

#!/usr/bin/env python # Convert text and standoff annotations into CoNLL format. import re import sys from pathlib import Path # assume script in brat tools/ directory, extend path to find sentencesplit.py sys.path.append(str(Path(__file__).parent)) sys.path.append('.') from sentencesplit import sentencebreaks_to_...

29.628931

103

0.594884

1,209

9,422

4.495451

0.214227

0.008832

0.014351

0.00828

0.136891

0.086845

0.064765

0.051518

0.022079

0

0.005723

0.295266

9,422

317

104

29.722397

0.812801

0.178306

0

0.131313

0

0.098298

0.01034

0

0.003155

0.010101

1

0.065657

false

0

0.040404

0

0.156566

0.030303

0

null

0

null

0

1

0

a51b1c0fe48c6f6a0c51d7e391fb9492bd28a19a

5,509

py

Python

EfficientObjectDetection/dataset/dataloader_ete.py

JunHyungKang/SAROD_ICIP

71585951f64dc1cc22ed72900eff81f747edec77

[ "MIT" ]

null

EfficientObjectDetection/dataset/dataloader_ete.py

JunHyungKang/SAROD_ICIP

71585951f64dc1cc22ed72900eff81f747edec77

[ "MIT" ]

null

EfficientObjectDetection/dataset/dataloader_ete.py

JunHyungKang/SAROD_ICIP

71585951f64dc1cc22ed72900eff81f747edec77

[ "MIT" ]

1

2020-12-27T05:24:19.000Z

import pandas as pd import numpy as np import warnings import os from torch.utils.data.dataset import Dataset from PIL import Image Image.MAX_IMAGE_PIXELS = None warnings.simplefilter('ignore', Image.DecompressionBombWarning) class CustomDatasetFromImages(Dataset): def __init__(self, fine_data, coarse_data, tran...

34.217391

136

0.622254

769

5,509

4.191157

0.16645

0.039715

0.052125

0.047471

0.48247

0.457648

0.351536

0.331679

0.314303

0

0.006686

0.267018

5,509

161

137

34.217391

0.791481

0.239608

0

0.141176

0

0.029339

0

1

0.105882

false

0

0.070588

0.035294

0.282353

0

null

0

null

0

1

0

a51c924df2a2764415545da28cdbfc63cde5829d

6,236

py

Python

tests/test.py

angstwad/datemike

da84df48022c4067a28182e9bb53434c8f5010bc

[ "Apache-2.0" ]

8

2015-01-30T01:42:02.000Z

2019-04-05T10:50:42.000Z

tests/test.py

angstwad/datemike

da84df48022c4067a28182e9bb53434c8f5010bc

[ "Apache-2.0" ]

null

tests/test.py

angstwad/datemike

da84df48022c4067a28182e9bb53434c8f5010bc

[ "Apache-2.0" ]

3

2016-06-27T11:23:38.000Z

2018-03-05T21:37:39.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from collections import OrderedDict import unittest import yaml from datemike import ansible, base, utils from datemike.providers import rackspace desired_task_yaml = """name: Create Cloud Server(s) rax: exact_count: true flavor: performance1-1 image: image-ubuntu-...

32.821053

78

0.59814

761

6,236

4.733246

0.13929

0.034981

0.037479

0.033315

0.536924

0.503887

0.451971

0.403387

0.392282

0.345641

0

0.014821

0.28592

6,236

189

79

32.994709

0.794071

0.006735

0

0.341935

0

0.257429

0

0.148387

1

0.148387

false

0.006452

0.032258

0

0.2

0

null

0

null

0

1

0

a51d4b9577b8109ecc4fe05e8b1f90f8ad9d6edf

1,100

py

Python

update_others.py

XiaogangHe/cv

814fabeb93c6302526ad0fca79587bf3fbd2a0ea

[ "CC-BY-4.0" ]

null

update_others.py

XiaogangHe/cv

814fabeb93c6302526ad0fca79587bf3fbd2a0ea

[ "CC-BY-4.0" ]

null

update_others.py

XiaogangHe/cv

814fabeb93c6302526ad0fca79587bf3fbd2a0ea

[ "CC-BY-4.0" ]

1

2020-12-20T08:02:39.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import division, print_function import re import json import requests def get_number_of_citations(url): r = requests.get(url) try: r.raise_for_status() except Exception as e: print(e) return None results = re.finda...

23.913043

76

0.571818

147

1,100

4.102041

0.510204

0.049751

0.036484

0.066335

0.182421

0.112769

0

0.006435

0.293636

1,100

45

77

24.444444

0.769627

0.038182

0

0.323529

0

0.118371

0

1

0.058824

false

0

0.117647

0

0.294118

0.117647

0

null

0

null

0

1

0

eb47b43bc4e1a81b0b221c391bba44d51529910a

1,451

py

Python

haminfo/db/models/request.py

hemna/haminfo

86db93536075999afa086fda84f10c1911af0375

[ "Apache-2.0" ]

null

haminfo/db/models/request.py

hemna/haminfo

86db93536075999afa086fda84f10c1911af0375

[ "Apache-2.0" ]

null

haminfo/db/models/request.py

hemna/haminfo

86db93536075999afa086fda84f10c1911af0375

[ "Apache-2.0" ]

null

import sqlalchemy as sa import datetime from haminfo.db.models.modelbase import ModelBase class Request(ModelBase): __tablename__ = 'request' id = sa.Column(sa.Integer, sa.Sequence('request_id_seq'), primary_key=True) created = sa.Column(sa.Date) latitude = sa.Column(sa.Float) longitude = sa.Col...

30.87234

80

0.582357

175

1,451

4.668571

0.325714

0.088127

0.110159

0.078335

0

0.000937

0.264645

1,451

46

81

31.543478

0.764761

0.021365

0

0.187588

0.118477

0

1

0.081081

false

0

0.081081

0.027027

0.540541

0

null

0

null

0

1

0

eb49b2cbd9ad1ebc523230ba0859acde197afa9b

1,166

py

Python

Box_Plot.py

johndunne2019/pands-project

4a544be7a4074dc8a277775981b3619239c45872

[ "Apache-2.0" ]

null

Box_Plot.py

johndunne2019/pands-project

4a544be7a4074dc8a277775981b3619239c45872

[ "Apache-2.0" ]

null

Box_Plot.py

johndunne2019/pands-project

4a544be7a4074dc8a277775981b3619239c45872

[ "Apache-2.0" ]

null

# 2019-04-24 # John Dunne # Box plot of the data set # pandas box plot documentation: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.boxplot.html print("The box plot will appear on the screen momentarily") import matplotlib.pyplot as pl import pandas as pd # imported the libraries needed an...

61.368421

150

0.779588

200

1,166

4.525

0.49

0.054144

0.055249

0.039779

0.163536

0

0.020669

0.128645

1,166

19

151

61.368421

0.870079

0.716981

0

0.476341

0

1

0

false

0

0.285714

0

0.285714

0.142857

0

null

0

null

0

1

0