xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

826f63c5c39c287a99f63c5f1236dbd56acc410a

20,198

py

Python

capirca/lib/gcp_hf.py

PhillSimonds/capirca

26c5f4f7d3bfc29841f5e6d3cdf07be9923c2c70

[ "Apache-2.0" ]

null

capirca/lib/gcp_hf.py

PhillSimonds/capirca

26c5f4f7d3bfc29841f5e6d3cdf07be9923c2c70

[ "Apache-2.0" ]

null

capirca/lib/gcp_hf.py

PhillSimonds/capirca

26c5f4f7d3bfc29841f5e6d3cdf07be9923c2c70

[ "Apache-2.0" ]

1

2022-02-14T03:22:18.000Z

"""Google Cloud Hierarchical Firewall Generator. Hierarchical Firewalls (HF) are represented in a SecurityPolicy GCP resouce. """ import copy import re from typing import Dict, Any from absl import logging from capirca.lib import gcp from capirca.lib import nacaddr class ExceededCostError(gcp.Error): """Raised ...

36.392793

105

0.645608

2,543

20,198

4.954778

0.183641

0.027302

0.009524

0.010952

0.304841

0.245079

0.221746

0.198095

0.166746

0.154286

0

0.00715

0.265967

20,198

554

106

36.458484

0.842709

0.23438

0

0.244565

0

0.185334

0.005055

0

1

0.019022

false

0

0.016304

0.002717

0.105978

0

null

0

null

0

1

0

827202efc4734328b2680b6cfa71b26432695ccb

559

py

Python

hackerrank/algorithms/time_conversion.py

ontana/mystudy

8158550da3cdbaaa81660be73f2dfad869aae466

[ "MIT" ]

null

hackerrank/algorithms/time_conversion.py

ontana/mystudy

8158550da3cdbaaa81660be73f2dfad869aae466

[ "MIT" ]

null

hackerrank/algorithms/time_conversion.py

ontana/mystudy

8158550da3cdbaaa81660be73f2dfad869aae466

[ "MIT" ]

null

#!/bin/python3 # https://www.hackerrank.com/challenges/time-conversion import sys def timeConversion(s): # Complete this function ar = s.split(':') tail = ar[-1][-2:].lower() addition_hours = 0 if (tail == 'pm' and ar[0] != '12') or (tail == 'am' and ar[0] == '12'): addition_hours ...

26.619048

77

0.563506

78

559

3.935897

0.551282

0.114007

0.039088

0.052117

0

0.045131

0.246869

559

21

78

26.619048

0.684086

0.161002

0

0.033557

0

1

0.066667

false

0

0.066667

0

0.2

0.066667

0

null

0

null

0

1

0

8272095e27dabd69813e44dde70f50afb8a04d0c

5,296

py

Python

supplychainpy/demand/economic_order_quantity.py

supplybi/supplychainpy

821ea21adb684abba7f9a7b26eaf218f44b45ced

[ "BSD-3-Clause" ]

5

2018-09-07T09:00:31.000Z

2022-01-02T05:20:46.000Z

supplychainpy/demand/economic_order_quantity.py

supplybi/supplychainpy

821ea21adb684abba7f9a7b26eaf218f44b45ced

[ "BSD-3-Clause" ]

null

supplychainpy/demand/economic_order_quantity.py

supplybi/supplychainpy

821ea21adb684abba7f9a7b26eaf218f44b45ced

[ "BSD-3-Clause" ]

3

2018-02-14T14:04:45.000Z

2021-04-15T04:31:42.000Z

from decimal import Decimal, getcontext, ROUND_HALF_UP from supplychainpy.demand import analyse_uncertain_demand from supplychainpy.demand.eoq import minimum_variable_cost, economic_order_quantity class EconomicOrderQuantity(analyse_uncertain_demand.UncertainDemand): __economic_order_quantity = Decimal(0) ana...

42.368

138

0.624434

619

5,296

4.96769

0.113086

0.067317

0.061789

0.067317

0.64

0.585041

0.572358

0.533659

0.492683

0.446504

0

0.015306

0.296828

5,296

124

139

42.709677

0.810419

0.038331

0

0.520833

0

1

0.072917

false

0

0.03125

0.020833

0.229167

0

null

0

null

0

1

0

8273cb7b96dbba2d80d2ff7f28ed04bc72f420f5

2,182

py

Python

tests/test_arraymisc.py

XinYangDong/mmcv-0.2.10

527388ea7c5daf7149a88b3dc833373d5a5fb850

[ "Apache-2.0" ]

1

2019-04-04T07:07:55.000Z

tests/test_arraymisc.py

XinYangDong/mmcv-0.2.10

527388ea7c5daf7149a88b3dc833373d5a5fb850

[ "Apache-2.0" ]

null

tests/test_arraymisc.py

XinYangDong/mmcv-0.2.10

527388ea7c5daf7149a88b3dc833373d5a5fb850

[ "Apache-2.0" ]

null

from __future__ import division import mmcv import numpy as np import pytest def test_quantize(): arr = np.random.randn(10, 10) levels = 20 qarr = mmcv.quantize(arr, -1, 1, levels) assert qarr.shape == arr.shape assert qarr.dtype == np.dtype('int64') for i in range(arr.shape[0]): for...

31.171429

75

0.593951

332

2,182

3.88253

0.177711

0.020171

0.06827

0.059736

0.661753

0.595811

0.529868

0.511249

0

0.07186

0.241063

2,182

69

76

31.623188

0.706522

0

0.309091

0

0.010999

0

0.254545

1

0.054545

false

0

0.072727

0

0.127273

0

null

0

null

0

1

0

82740abbd8d90d8a1d79663896c17644f40508b8

2,373

py

Python

train.py

jmribeiro/NumPyNeuralNetworkFromScratch

19c4360ef4eec91cd17142ced9fde35773d795b5

[ "Apache-2.0" ]

1

2020-07-06T18:15:34.000Z

train.py

jmribeiro/NumPyNeuralNetworkFromScratch

19c4360ef4eec91cd17142ced9fde35773d795b5

[ "Apache-2.0" ]

null

train.py

jmribeiro/NumPyNeuralNetworkFromScratch

19c4360ef4eec91cd17142ced9fde35773d795b5

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ Author: João Ribeiro """ import argparse import numpy as np from model import FeedForwardNetwork from utils import load_ocr_dataset, plot if __name__ == '__main__': parser = argparse.ArgumentParser() # Hyperparams parser.add_argument('-epochs', default=20, type=int, help="N...

31.64

120

0.645175

308

2,373

4.782468

0.344156

0.05499

0.10387

0.046164

0.181942

0.043449

0

0.007732

0.182469

2,373

74

121

32.067568

0.751546

0.051833

0

0.055556

0

0.254349

0.010813

0

1

0

false

0

0.111111

0

0.111111

0.194444

0

null

0

null

0

1

0

8274f0f41fe5e911ea0767aa342d89364c6cbf67

3,935

py

Python

varify/samples/views.py

chop-dbhi/varify

5dc721e49ed9bd3582f4b117785fdd1a8b6ba777

[ "BSD-2-Clause" ]

6

2015-01-16T14:35:29.000Z

2017-06-18T05:56:15.000Z

varify/samples/views.py

solvebio/varify

5dc721e49ed9bd3582f4b117785fdd1a8b6ba777

[ "BSD-2-Clause" ]

null

varify/samples/views.py

solvebio/varify

5dc721e49ed9bd3582f4b117785fdd1a8b6ba777

[ "BSD-2-Clause" ]

3

2015-05-27T15:03:17.000Z

2020-03-11T08:42:46.000Z

from guardian.shortcuts import get_objects_for_user from django.http import Http404, HttpResponseRedirect from django.db.models import Count from django.core.urlresolvers import reverse from django.shortcuts import render, get_object_or_404 from vdw.samples.models import Sample, Project, Batch, Cohort from .forms impor...

31.48

79

0.665565

458

3,935

5.561135

0.176856

0.043188

0.047114

0.033373

0.428347

0.403612

0.37338

0.3404

0.286219

0

0.008832

0.223126

3,935

124

80

31.733871

0.824338

0.040407

0

0.3

0

0.108431

0.023065

0

1

0.066667

false

0

0.077778

0

0.222222

0

null

0

null

0

1

0

82758db2cce35fc271964b68ef46df023933f752

6,079

py

Python

napari_plugin_test/widgets/warp_image_volume.py

krentzd/napari-test

97673f9408eab7d2cc01f4562a3deeeee7fd8bcb

[ "MIT" ]

null

napari_plugin_test/widgets/warp_image_volume.py

krentzd/napari-test

97673f9408eab7d2cc01f4562a3deeeee7fd8bcb

[ "MIT" ]

null

napari_plugin_test/widgets/warp_image_volume.py

krentzd/napari-test

97673f9408eab7d2cc01f4562a3deeeee7fd8bcb

[ "MIT" ]

null

#!/usr/bin/env python3 # coding: utf-8 # Adapted from: https://github.com/zpincus/celltool/blob/master/celltool/numerics/image_warp.py from scipy import ndimage import numpy as np from probreg import bcpd import tifffile import matplotlib.pyplot as plt import napari from magicgui import magic_factory, widgets from nap...

40.798658

147

0.659154

979

6,079

3.848825

0.215526

0.031847

0.022293

0.023885

0.145701

0.125531

0.111465

0.091561

0

0.045613

0.199375

6,079

148

41.074324

0.72858

0.04935

0

0.029458

0

0.008403

1

0.084034

false

0

0.084034

0

0.235294

0.033613

0

null

0

null

0

1

0

8275c53b65c622b02c7389ff31c415c23a469b50

6,235

py

Python

main/tests/test_celery.py

OpenHumans/oh-23andme-source

2580b0177b9caad079826305c7455ea7fb116a76

[ "MIT" ]

null

main/tests/test_celery.py

OpenHumans/oh-23andme-source

2580b0177b9caad079826305c7455ea7fb116a76

[ "MIT" ]

7

2018-03-26T02:09:43.000Z

2021-06-10T17:42:26.000Z

main/tests/test_celery.py

OpenHumans/oh-23andme-source

2580b0177b9caad079826305c7455ea7fb116a76

[ "MIT" ]

2

2018-03-29T12:51:28.000Z

2018-12-27T18:44:35.000Z

from django.test import TestCase, RequestFactory import vcr from django.conf import settings from django.core.management import call_command from open_humans.models import OpenHumansMember from main.celery import read_reference, clean_raw_23andme from main.celery_helper import vcf_header import os import tempfile impor...

40.225806

171

0.563432

656

6,235

5.169207

0.286585

0.055146

0.035388

0.021233

0.515482

0.460631

0.437629

0

0.063815

0.306335

6,235

154

172

40.487013

0.720231

0.049078

0

0.259259

0

0.037037

0.311922

0.07942

0

0.046296

1

0.074074

false

0.009259

0.111111

0

0.194444

0

null

0

null

0

1

0

8276d754ae9e540d8e94f8e6e543d48ce3a9e8c7

2,060

py

Python

nn_model/embedding_layer.py

onlyrico/mling_sdgms

ef6015d1a815a317f16fa1e42cbb048e4fe443f7

[ "MIT" ]

4

2021-06-01T02:06:57.000Z

2022-02-23T02:14:07.000Z

nn_model/embedding_layer.py

onlyrico/mling_sdgms

ef6015d1a815a317f16fa1e42cbb048e4fe443f7

[ "MIT" ]

null

nn_model/embedding_layer.py

onlyrico/mling_sdgms

ef6015d1a815a317f16fa1e42cbb048e4fe443f7

[ "MIT" ]

2

2021-01-28T05:48:20.000Z

2022-01-24T11:59:13.000Z

# -*- coding: UTF-8 -*- #!/usr/bin/python3 """ Embedding Layer """ #************************************************************ # Imported Libraries #************************************************************ import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from gensim.models i...

30.294118

94

0.662136

270

2,060

4.825926

0.351852

0.089793

0.117421

0.052955

0.224098

0.174981

0.133538

0

0.009473

0.180097

2,060

67

95

30.746269

0.761989

0.120874

0

0.102564

0

0.037485

0

1

0.102564

false

0

0.153846

0

0.333333

0.051282

0

null

0

null

0

1

0

827728c1d9e6e7856cb8f43e7465659d4d505df0

17,810

py

Python

grpclib/server.py

panaetov/grpclib

3c7d6ec3479cde417e748bc9b0cf0e9188d0f42a

[ "BSD-3-Clause" ]

null

grpclib/server.py

panaetov/grpclib

3c7d6ec3479cde417e748bc9b0cf0e9188d0f42a

[ "BSD-3-Clause" ]

null

grpclib/server.py

panaetov/grpclib

3c7d6ec3479cde417e748bc9b0cf0e9188d0f42a

[ "BSD-3-Clause" ]

null

import abc import socket import logging import asyncio import warnings import h2.config import h2.exceptions from .utils import DeadlineWrapper from .const import Status from .stream import send_message, recv_message from .stream import StreamIterator from .metadata import Metadata, Deadline from .protocol import H2P...

34.921569

80

0.600842

2,010

17,810

5.119901

0.199005

0.012438

0.017491

0.015645

0.222719

0.145467

0.102711

0.093966

0.087649

0

0.004792

0.320382

17,810

509

81

34.990177

0.84534

0.074172

0

0.301325

0

0.069882

0.002513

0

0.001965

0.003311

1

0.046358

false

0.009934

0.05298

0

0.182119

0

null

0

null

0

1

0

8278ddae26be1d01817d1cce51811bee77e0e097

5,903

py

Python

ramcache.py

Lopez6969/chromium-dashboard

b35fb5372f33bfe1992c0ffaf1e723afbb3d9af2

[ "Apache-2.0" ]

null

ramcache.py

Lopez6969/chromium-dashboard

b35fb5372f33bfe1992c0ffaf1e723afbb3d9af2

[ "Apache-2.0" ]

null

ramcache.py

Lopez6969/chromium-dashboard

b35fb5372f33bfe1992c0ffaf1e723afbb3d9af2

[ "Apache-2.0" ]

null

from __future__ import division from __future__ import print_function # -*- coding: utf-8 -*- # Copyright 2020 Google 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.a...

34.723529

79

0.750127

872

5,903

4.969037

0.333716

0.027694

0.02631

0.042926

0.171013

0.085391

0.064159

0.040619

0

0.004743

0.178553

5,903

169

80

34.928994

0.888843

0.306454

0

0.135135

0

0.033689

0.018077

0

1

0.135135

false

0.013514

0.067568

0

0.351351

0.013514

0

null

0

null

0

1

0

827beb02ef352cf0444f8df3acec604c0da03a1c

1,731

py

Python

intrepyd/tests/test_openplc.py

bobosoft/intrepyd

13f0912b31f86f9bcc50f52ef4ad870e33f0cf65

[ "BSD-3-Clause" ]

2

2021-04-25T17:38:03.000Z

2022-03-20T20:48:50.000Z

intrepyd/tests/test_openplc.py

bobosoft/intrepyd

13f0912b31f86f9bcc50f52ef4ad870e33f0cf65

[ "BSD-3-Clause" ]

1

2016-11-30T22:25:00.000Z

2017-01-16T22:43:39.000Z

intrepyd/tests/test_openplc.py

bobosoft/intrepyd

13f0912b31f86f9bcc50f52ef4ad870e33f0cf65

[ "BSD-3-Clause" ]

null

import intrepyd from intrepyd.iec611312py.plcopen import parse_plc_open_file from intrepyd.iec611312py.stmtprinter import StmtPrinter import unittest from . import from_fixture_path class TestOpenPLC(unittest.TestCase): def test_simple_1(self): pous = parse_plc_open_file(from_fixture_path('openplc/simple1....

37.630435

139

0.688619

226

1,731

4.977876

0.323009

0.12

0.074667

0.099556

0.587556

0.569778

0.546667

0.422222

0

0.031587

0.195263

1,731

45

140

38.466667

0.776023

0.093588

0

0.30303

0

0.030303

0.158568

0.037724

0

0.242424

1

0.181818

false

0

0.151515

0

0.363636

0.212121

0

null

0

null

0

1

0

827d64df2b74d446113ab304669eb3fd477b0e80

3,506

py

Python

reveal_graph_embedding/datautil/asu_datautil/asu_read_data.py

MKLab-ITI/reveal-graph-embedding

72d4af794536f97b8ede06c0f27f261ea85d8c4b

[ "Apache-2.0" ]

31

2015-07-14T16:21:25.000Z

2021-06-30T14:10:44.000Z

reveal_graph_embedding/datautil/asu_datautil/asu_read_data.py

MKLab-ITI/reveal-graph-embedding

72d4af794536f97b8ede06c0f27f261ea85d8c4b

[ "Apache-2.0" ]

null

reveal_graph_embedding/datautil/asu_datautil/asu_read_data.py

MKLab-ITI/reveal-graph-embedding

72d4af794536f97b8ede06c0f27f261ea85d8c4b

[ "Apache-2.0" ]

11

2016-08-21T03:07:20.000Z

2020-03-07T03:17:05.000Z

__author__ = 'Georgios Rizos (georgerizos@iti.gr)' import numpy as np import scipy.sparse as sparse from reveal_graph_embedding.common import get_file_row_generator def read_adjacency_matrix(file_path, separator): """ Reads an edge list in csv format and returns the adjacency matrix in SciPy Sparse COOrdina...

33.711538

118

0.688534

508

3,506

4.55315

0.240157

0.039343

0.051881

0.024211

0.518374

0.476438

0.444444

0.370947

0.330307

0

0.011481

0.229892

3,506

103

119

34.038835

0.845185

0.418711

0

0.468085

0

0.017803

0

1

0.042553

false

0

0.06383

0

0.148936

0

null

0

null

0

1

0

8281bdb342d8804d5733ed2d9e90e2c325ef1463

4,013

py

Python

run.py

evilspyboy/twitch-relay-monitor

45c9c2f02b67f73b5baea53813d8818d673d93ba

[ "MIT" ]

1

2021-03-19T15:02:38.000Z

run.py

evilspyboy/twitch-relay-monitor

45c9c2f02b67f73b5baea53813d8818d673d93ba

[ "MIT" ]

null

run.py

evilspyboy/twitch-relay-monitor

45c9c2f02b67f73b5baea53813d8818d673d93ba

[ "MIT" ]

1

2021-03-19T15:02:38.000Z

import datetime from datetime import timedelta import pprint from config import * from helper import * import time import logging from logging.handlers import RotatingFileHandler logger = logging.getLogger('Twitch Relay Monitor') logger.setLevel(logging.DEBUG) handler = RotatingFileHandler('/home/pi/twitch_relay_monit...

31.351563

107

0.76601

620

4,013

4.717742

0.259677

0.049231

0.036923

0.038974

0.333333

0.311795

0.273504

0.26359

0.180171

0

0.010315

0.130326

4,013

128

108

31.351563

0.827794

0.160728

0

0.389474

0

0.170194

0.012519

0

1

0.010526

false

0

0.084211

0

0.094737

0.084211

0

null

0

null

0

1

0

8283520b4c3b447717f6ff9b6cc63100ada20554

793

py

Python

aiassistants/assistants/ptype/src/Config.py

wrattler/wrattler

25d2a178e5efc289b40fa3725b23334636bd349d

[ "MIT" ]

56

2018-03-21T07:04:44.000Z

2021-12-26T15:01:42.000Z

aiassistants/assistants/ptype/src/Config.py

wrattler/wrattler

25d2a178e5efc289b40fa3725b23334636bd349d

[ "MIT" ]

181

2018-06-07T10:35:23.000Z

2022-02-26T10:22:54.000Z

aiassistants/assistants/ptype/src/Config.py

wrattler/wrattler

25d2a178e5efc289b40fa3725b23334636bd349d

[ "MIT" ]

9

2018-05-04T10:04:49.000Z

2019-10-07T15:53:50.000Z

class Config: # helps to store settings for an experiment. def __init__(self, _experiments_folder_path='experiments', _dataset_name='dataset', _column_names='unknown', _types={1:'integer', 2:'string', 3:'float', 4:'boolean', 5:'gender', 6:'unknown', 7:'date-iso-8601', 8:'date-eu', 9:'date-non-s...

49.5625

175

0.630517

99

793

4.757576

0.575758

0.10828

0.089172

0

0.031148

0.230769

793

16

176

49.5625

0.740984

0.052963

0

0.214667

0

1

0.076923

false

0

0.153846

0

null

0

null

0

1

0

828565457c47cac1020f3188fe499892855af43c

12,928

py

Python

rbc/tests/test_omnisci_array.py

guilhermeleobas/rbc

4b568b91c6ce3ef7727fee001169302c3803c4fd

[ "BSD-3-Clause" ]

null

rbc/tests/test_omnisci_array.py

guilhermeleobas/rbc

4b568b91c6ce3ef7727fee001169302c3803c4fd

[ "BSD-3-Clause" ]

null

rbc/tests/test_omnisci_array.py

guilhermeleobas/rbc

4b568b91c6ce3ef7727fee001169302c3803c4fd

[ "BSD-3-Clause" ]

null

import os from collections import defaultdict from rbc.omnisci_backend import Array from rbc.errors import OmnisciServerError from numba import types as nb_types import pytest rbc_omnisci = pytest.importorskip('rbc.omniscidb') available_version, reason = rbc_omnisci.is_available() pytestmark = pytest.mark.skipif(not a...

27.274262

98

0.586556

1,827

12,928

4.007663

0.136289

0.035509

0.050259

0.072248

0.487299

0.422835

0.37681

0.358099

0.318492

0.278203

0

0.036389

0.266631

12,928

473

99

27.331924

0.735893

0.021117

0

0.39548

0

0.002825

0.200822

0.019608

0

0.002114

0.076271

1

0.121469

false

0

0.059322

0.028249

0.248588

0.011299

0

null

0

null

0

1

0

82858d5820f148f4cd403dae133ec9b5dc1ebb08

1,785

py

Python

src/core/default/commands/bucket/utils.py

cdev-framework/cdev-sdk

06cd7b40936ab063d1d8fd1a7d9f6882750e8a96

[ "BSD-3-Clause-Clear" ]

2

2022-02-28T02:51:59.000Z

2022-03-24T15:23:18.000Z

src/core/default/commands/bucket/utils.py

cdev-framework/cdev-sdk

06cd7b40936ab063d1d8fd1a7d9f6882750e8a96

[ "BSD-3-Clause-Clear" ]

null

src/core/default/commands/bucket/utils.py

cdev-framework/cdev-sdk

06cd7b40936ab063d1d8fd1a7d9f6882750e8a96

[ "BSD-3-Clause-Clear" ]

null

from dataclasses import dataclass import re from tokenize import group from core.constructs.resource import ResourceModel from core.constructs.workspace import Workspace RUUID = "cdev::simple::bucket" def get_cloud_output_from_cdev_name(component_name: str, cdev_name: str) -> str: try: ws = Workspace.in...

25.869565

86

0.678431

235

1,785

4.897872

0.289362

0.055604

0.062554

0.076455

0.32146

0.253692

0

0.002168

0.22465

1,785

68

87

26.25

0.82948

0

0.291667

0

0.137815

0.061625

0

1

0.083333

false

0

0.104167

0.020833

0.395833

0.083333

0

null

0

null

0

1

0

82866aa0a6c01bbd11d8219aa01d2f4e9089b2ed

3,750

py

Python

EXAMPLE/test_backtest/MACD_JCSC.py

evsteel/QUANTAXIS

50e0116b2b52e6bbac6819d5f039608bf4a17367

[ "MIT" ]

2

2018-10-29T12:01:55.000Z

2021-03-05T10:28:59.000Z

EXAMPLE/test_backtest/MACD_JCSC.py

evsteel/QUANTAXIS

50e0116b2b52e6bbac6819d5f039608bf4a17367

[ "MIT" ]

1

2019-01-23T04:46:52.000Z

EXAMPLE/test_backtest/MACD_JCSC.py

evsteel/QUANTAXIS

50e0116b2b52e6bbac6819d5f039608bf4a17367

[ "MIT" ]

2

2018-11-30T07:52:14.000Z

2021-05-28T23:00:20.000Z

# -*- coding: utf-8 -*- # Demo: MACD strategy # src: ./test_backtest/MACD_JCSC.py # jupyter: ./test_backtest/QUANTAXIS回测分析全过程讲解.ipynb # paper: ./test_backtest/QUANTAXIS回测分析全过程讲解.md import QUANTAXIS as QA import numpy as np import pandas as pd import datetime st1=datetime.datetime.now() # define the MACD strategy def M...

32.051282

123

0.6464

512

3,750

4.537109

0.304688

0.017219

0.043048

0.015497

0.311235

0.287129

0.227292

0

0.03753

0.2184

3,750

116

124

32.327586

0.755032

0.223467

0

0.28125

0

0.050646

0

1

0.015625

false

0

0.0625

0

0.09375

0.0625

0

null

0

null

0

1

0

8286a3142dc78c8279d55cc22186d074f451c53d

6,247

py

Python

tests/zquantum/qaoa/ansatzes/farhi_ansatz_test.py

zapatacomputing/z-quantum-qaoa

a13a99939ee41c760fdfb302e5f4944e087a09a7

[ "Apache-2.0" ]

3

2020-10-06T13:54:40.000Z

2021-07-04T21:02:14.000Z

tests/zquantum/qaoa/ansatzes/farhi_ansatz_test.py

zapatacomputing/z-quantum-qaoa

a13a99939ee41c760fdfb302e5f4944e087a09a7

[ "Apache-2.0" ]

34

2020-04-30T02:52:31.000Z

2022-03-30T19:19:14.000Z

tests/zquantum/qaoa/ansatzes/farhi_ansatz_test.py

zapatacomputing/z-quantum-qaoa

a13a99939ee41c760fdfb302e5f4944e087a09a7

[ "Apache-2.0" ]

5

2020-06-24T10:57:01.000Z

2021-07-09T01:14:16.000Z

from zquantum.core.interfaces.ansatz_test import AnsatzTests from zquantum.core.circuits import Circuit, H, RX, RZ from zquantum.core.utils import compare_unitary from zquantum.core.openfermion import change_operator_type from zquantum.qaoa.ansatzes.farhi_ansatz import ( QAOAFarhiAnsatz, create_farhi_qaoa_circu...

29.328638

88

0.664959

697

6,247

5.626973

0.147776

0.087965

0.050484

0.04105

0.668536

0.586181

0.553544

0.519888

0.49592

0

0.013556

0.244277

6,247

212

89

29.466981

0.8172

0.028654

0

0.381679

0

0.01094

0

0.10687

1

0.137405

false

0

0.068702

0.022901

0.251908

0

null

0

null

0

1

0

8287b90a2bda6ffe57a0b5c598cfc436f9b7c2a3

3,297

py

Python

utils/parser.py

scalar42/scholar-alerts-assistant

5b674f3784d09ced8a6c17a653d9bdfa08947125

[ "MIT" ]

null

utils/parser.py

scalar42/scholar-alerts-assistant

5b674f3784d09ced8a6c17a653d9bdfa08947125

[ "MIT" ]

null

utils/parser.py

scalar42/scholar-alerts-assistant

5b674f3784d09ced8a6c17a653d9bdfa08947125

[ "MIT" ]

null

from html.parser import HTMLParser class Paper(): def __init__(self): self.title = "" self.source_link = "" self.authr_and_pub = "" # self.publication = "" self.abstract = "" self.star_link = "" def add_title(self, title): self.title = title retu...

30.813084

129

0.578101

413

3,297

4.307506

0.142857

0.077572

0.086565

0.077572

0.456998

0.370995

0.215852

0.175942

0.137156

0

0.002689

0.323324

3,297

106

130

31.103774

0.794711

0.039126

0

0.369048

0

0.007904

0

1

0.190476

false

0

0.011905

0.047619

0.357143

0

null

0

null

0

1

0

8288f27e4f9f25b68044be3e4af91d23dfa24bd3

1,923

py

Python

model.py

luqifeng/CVND---Image-Captioning-Project

6564b72222d962f8e1acdcdcf3d8ac5874ad9ab8

[ "MIT" ]

null

model.py

luqifeng/CVND---Image-Captioning-Project

6564b72222d962f8e1acdcdcf3d8ac5874ad9ab8

[ "MIT" ]

null

model.py

luqifeng/CVND---Image-Captioning-Project

6564b72222d962f8e1acdcdcf3d8ac5874ad9ab8

[ "MIT" ]

null

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

36.980769

126

0.631825

238

1,923

4.945378

0.357143

0.038233

0.018692

0.025489

0.047579

0

0.01257

0.25533

1,923

52

127

36.980769

0.809358

0.084763

0

0.05

0

1

0.125

false

0

0.1

0

0.35

0

null

0

null

0

1

0

828b34c1c1112e8cd47750832efbc80f1a49fc80

2,241

py

Python

run_all.py

yuriisthebest/Advent-of-Code

1a4b3d6e57b0751dec097ccfc83472c458605e37

[ "MIT" ]

null

run_all.py

yuriisthebest/Advent-of-Code

1a4b3d6e57b0751dec097ccfc83472c458605e37

[ "MIT" ]

null

run_all.py

yuriisthebest/Advent-of-Code

1a4b3d6e57b0751dec097ccfc83472c458605e37

[ "MIT" ]

null

import json import time from multiprocessing import Process from utils.paths import PATHS from years.AoC2021.tasks import TASKS2021 # Constants PARALLEL_COMPUTATION = True TASKS = { 2021: TASKS2021 } def asses_task(task: type, answers: dict, year: int) -> None: """ Run a task 4 times (part 1 test, part 1...

37.983051

111

0.617135

338

2,241

3.943787

0.310651

0.030008

0.018005

0.030008

0.202551

0.15904

0.099025

0

0.036396

0.25212

2,241

58

112

38.637931

0.75895

0.194556

0

0.128205

0.30113

0.017514

0

0.102564

1

0.025641

false

0

0.128205

0

0.153846

0.025641

0

null

0

null

0

1

0

828cb262d3250d0e1b3f07edb7bc92fd873589c5

1,467

py

Python

python/edl/tests/unittests/master_client_test.py

WEARE0/edl

f065ec02bb27a67c80466103e298bd6f37494048

[ "Apache-2.0" ]

90

2020-04-21T01:46:10.000Z

2022-02-10T09:09:34.000Z

python/edl/tests/unittests/master_client_test.py

WEARE0/edl

f065ec02bb27a67c80466103e298bd6f37494048

[ "Apache-2.0" ]

37

2018-03-02T22:41:15.000Z

2020-04-22T16:48:36.000Z

python/edl/tests/unittests/master_client_test.py

WEARE0/edl

f065ec02bb27a67c80466103e298bd6f37494048

[ "Apache-2.0" ]

34

2018-03-02T23:28:25.000Z

2020-03-25T08:50:29.000Z

# Copyright (c) 2020 PaddlePaddle Authors. 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...

32.6

74

0.712338

213

1,467

4.760563

0.516432

0.059172

0.025641

0.031558

0.076923

0

0.020202

0.190184

1,467

44

75

33.340909

0.833333

0.39741

0

0.090909

0

0.133333

0

0.090909

1

0.090909

false

0

0.227273

0

0.363636

0

null

0

null

0

1

0

828db07d0c0f0f1db466402e002749cf071a28f8

3,454

py

Python

augraphy/augmentations/noisetexturize.py

RyonSayer/augraphy

be1e8dcf0f129ac3fc30ba1cad0d8de02443f67f

[ "MIT" ]

36

2021-06-25T02:17:57.000Z

2022-03-29T02:36:09.000Z

augraphy/augmentations/noisetexturize.py

shaheryar1/augraphy

5dd52fdd3b497312606c6d3afa4003f94a8cbcc4

[ "MIT" ]

136

2021-06-25T07:39:46.000Z

2022-03-31T13:00:30.000Z

augraphy/augmentations/noisetexturize.py

shaheryar1/augraphy

5dd52fdd3b497312606c6d3afa4003f94a8cbcc4

[ "MIT" ]

24

2021-06-27T21:15:11.000Z

2022-03-08T03:28:17.000Z

import random import cv2 import numpy as np from augraphy.base.augmentation import Augmentation class NoiseTexturize(Augmentation): """Creates a random noise based texture pattern to emulate paper textures. Consequently applies noise patterns to the original image from big to small. :param sigma_range:...

33.533981

118

0.606543

423

3,454

4.867612

0.378251

0.043711

0.033997

0.019427

0.073822

0.042739

0

0.013361

0.306601

3,454

102

119

33.862745

0.846347

0.387087

0

0.05005

0.043544

0

1

0.072727

false

0

0.072727

0.018182

0.218182

0

null

0

null

0

1

0

828dc1f2bed1b15e7518a1fcf0598cc4397058a0

50,333

py

Python

plugins/modules/bigip_sslo_config_ssl.py

kevingstewart/f5_sslo_ansible

13001a8eab514b5f1ea374abdfc7dd2383655a86

[ "Apache-2.0" ]

7

2021-06-25T15:39:49.000Z

2022-02-28T10:58:53.000Z

plugins/modules/bigip_sslo_config_ssl.py

kevingstewart/f5_sslo_ansible

13001a8eab514b5f1ea374abdfc7dd2383655a86

[ "Apache-2.0" ]

6

2021-06-29T18:18:45.000Z

2021-09-17T12:04:24.000Z

plugins/modules/bigip_sslo_config_ssl.py

kevingstewart/f5_sslo_ansible

13001a8eab514b5f1ea374abdfc7dd2383655a86

[ "Apache-2.0" ]

3

2021-06-28T23:25:38.000Z

2022-02-28T10:57:32.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- # # Copyright: (c) 2021, kevin-dot-g-dot-stewart-at-gmail-dot-com # GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Version: 1.0.1 #### Updates: #### 1.0.1 - added 9.0 support # - changed max version # - added clie...

36.955213

492

0.580573

5,248

50,333

5.480183

0.105755

0.015855

0.036509

0.034353

0.636857

0.581885

0.527677

0.461127

0.411335

0.380702

0

0.013071

0.317505

50,333

1,362

493

36.955213

0.824144

0.064729

0

0.572944

0

0.028294

0.449475

0.044038

0

1

0.030062

false

0.030062

0.007073

0

0.115827

0.011494

0

null

0

null

0

1

0

828ee62b4ffbbb1d5dea12315eaccdf681093a66

52,854

py

Python

nemo/pipelines.py

simonsobs/nemo

ab72fa1c5ea878fcb63eaf31642b3d7bdd6ac636

[ "BSD-3-Clause" ]

2

2021-01-11T13:10:27.000Z

2022-03-09T16:31:48.000Z

nemo/pipelines.py

simonsobs/nemo

ab72fa1c5ea878fcb63eaf31642b3d7bdd6ac636

[ "BSD-3-Clause" ]

3

2020-11-11T10:44:47.000Z

2022-01-05T07:28:58.000Z

nemo/pipelines.py

simonsobs/nemo

ab72fa1c5ea878fcb63eaf31642b3d7bdd6ac636

[ "BSD-3-Clause" ]

1

2021-03-05T18:31:00.000Z

""" This module defines pipelines - sets of tasks in nemo that we sometimes want to do on different inputs (e.g., real data or simulated data). """ import os import sys import glob import shutil import time import astropy.io.fits as pyfits import astropy.table as atpy from astLib import astWCS import numpy as np fro...

54.941788

220

0.592235

5,238

52,854

5.959527

0.193013

0.027486

0.006631

0.004869

0.303402

0.255478

0.231804

0.213608

0.203742

0.18734

0

0.011294

0.298104

52,854

961

221

54.998959

0.830153

0.295493

0

0.23181

0

0.003384

0.099842

0.011579

0

0.006768

1

0.011844

false

0.020305

0.037225

0

0.060914

0.040609

0

null

0

null

0

1

0

828f0e49b2ff5b08550d07840cd6144c5f6a6f99

5,026

py

Python

pypkg-gen.py

GameMaker2k/Neo-Hockey-Test

5737bfedf0d83f69964e85ac1dbf7e6a93c13f44

[ "BSD-3-Clause" ]

1

2020-04-04T10:25:42.000Z

pypkg-gen.py

GameMaker2k/Neo-Hockey-Test

5737bfedf0d83f69964e85ac1dbf7e6a93c13f44

[ "BSD-3-Clause" ]

null

pypkg-gen.py

GameMaker2k/Neo-Hockey-Test

5737bfedf0d83f69964e85ac1dbf7e6a93c13f44

[ "BSD-3-Clause" ]

3

2021-09-07T08:44:33.000Z

2021-12-07T23:49:39.000Z

#!/usr/bin/env python ''' This program is free software; you can redistribute it and/or modify it under the terms of the Revised BSD License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FO...

45.279279

149

0.729208

675

5,026

5.259259

0.305185

0.037183

0.027887

0.01831

0.345915

0.287042

0.268732

0.256338

0

0.016412

0.102865

5,026

110

150

45.690909

0.770903

0.119379

0

0.26506

0

0.097216

0

1

0.012048

false

0

0.024096

0

0.048193

0

null

0

null

0

1

0

8292fb356f36b5d5f890f807991392f40a46cdec

514

py

Python

2020/02/Teil 2 - V01.py

HeWeMel/adventofcode

90acb10f03f21ef388673bbcf132d04972175970

[ "MIT" ]

1

2020-12-12T19:34:59.000Z

2020/02/Teil 2 - V01.py

HeWeMel/adventofcode

90acb10f03f21ef388673bbcf132d04972175970

[ "MIT" ]

null

2020/02/Teil 2 - V01.py

HeWeMel/adventofcode

90acb10f03f21ef388673bbcf132d04972175970

[ "MIT" ]

null

import re with open('input.txt', 'r') as f: pw_ok=0 for line in f: (rule,s,space_and_pw) = line.partition(':') (lowhigh,s,c) = rule.partition(' ') (low,s,high) = lowhigh.partition('-') pw=space_and_pw[1:-1] c1=pw[int(low)-1] c2=pw[int(high)-1] if (c1==c ...

27.052632

53

0.486381

85

514

2.858824

0.4

0.049383

0.082305

0.065844

0.230453

0.156379

0

0.054441

0.321012

514

19

54

27.052632

0.641834

0.005837

0

0.041096

0

1

0

false

0

0.0625

0

0.0625

0.1875

0

null

0

null

0

1

0

82959d9cf1c7742a4ce7e67d8116a609f7ef7317

8,399

py

Python

slides_manager/openslide_engine.py

crs4/ome_seadragon

e2a7a2178c4abdff1b0a98bc194c672b2476e9a2

[ "MIT" ]

31

2016-02-16T15:11:25.000Z

2021-06-21T15:58:58.000Z

slides_manager/openslide_engine.py

crs4/ome_seadragon

e2a7a2178c4abdff1b0a98bc194c672b2476e9a2

[ "MIT" ]

11

2017-06-23T17:23:47.000Z

2022-03-31T14:19:27.000Z

slides_manager/openslide_engine.py

crs4/ome_seadragon

e2a7a2178c4abdff1b0a98bc194c672b2476e9a2

[ "MIT" ]

4

2016-12-15T22:08:04.000Z

2019-10-24T23:12:53.000Z

# Copyright (c) 2019, CRS4 # # Permission is hereby granted, free of charge, to any person obtaining a copy of # this software and associated documentation files (the "Software"), to deal in # the Software without restriction, including without limitation the rights to # use, copy, modify, merge, publish, distribu...

46.921788

120

0.654245

1,014

8,399

5.141026

0.195266

0.033762

0.065605

0.046422

0.439478

0.401304

0.340879

0.262805

0.237483

0.227892

0

0.002934

0.269556

8,399

178

121

47.185393

0.846781

0.148589

0

0.23913

0

0.054175

0.006316

0

1

0.086957

false

0

0.057971

0.007246

0.297101

0

null

0

null

0

1

0

8296d1c9102045de4d1df9fbc075b8f844636279

4,772

py

Python

pyppy/config.py

maehster/pyppy

10aadd7ace210cb32c51cdd64060a3337d89324b

[ "MIT" ]

5

2021-01-25T09:52:09.000Z

2022-01-29T14:35:41.000Z

pyppy/config.py

maehster/pyppy

10aadd7ace210cb32c51cdd64060a3337d89324b

[ "MIT" ]

7

2021-01-23T10:49:01.000Z

2021-01-30T08:17:38.000Z

pyppy/config.py

maehster/pyppy

10aadd7ace210cb32c51cdd64060a3337d89324b

[ "MIT" ]

1

2021-05-25T05:42:10.000Z

"""Global config management This module provides functions for initializing, accessing and destroying a global config object. You can initialize a global config from any object. However, in the context of pyppy, only the instance attributes of the object are used and work with the decorators ``fill_args`` and ``condit...

28.404762

79

0.676027

608

4,772

5.231908

0.297697

0.056586

0.028293

0.028922

0.215341

0.152782

0.133291

0.097454

0

0.000271

0.226949

4,772

167

80

28.57485

0.862022

0.76865

0

0.090909

0

0.176334

0.032483

0

1

0.136364

false

0

0.090909

0

0.272727

0

null

0

null

0

1

0

82974de24f0cc3cfa731bcef6d90cc11159650a2

878

py

Python

LeetCode/3_sum.py

milkrong/Basic-Python-DS-Algs

e3accd22d8cf25546f33883aac634a9bfe108b34

[ "MIT" ]

null

LeetCode/3_sum.py

milkrong/Basic-Python-DS-Algs

e3accd22d8cf25546f33883aac634a9bfe108b34

[ "MIT" ]

null

LeetCode/3_sum.py

milkrong/Basic-Python-DS-Algs

e3accd22d8cf25546f33883aac634a9bfe108b34

[ "MIT" ]

null

def three_sum(nums): """ Given an array nums of n integers, are there elements a, b, c in nums such that a + b + c = 0? Find all unique triplets in the array which gives the sum of zero. :param nums: list[int] :return: list[list[int]] """ if len(nums) < 3: return [] nums.sort() ...

30.275862

98

0.425968

135

878

2.762963

0.377778

0.053619

0.0563

0.064343

0.160858

0

0.034274

0.43508

878

29

99

30.275862

0.717742

0.238041

0

0.095238

0

1

0.047619

false

0

0.142857

0

null

0

null

0

1

0

8299d63942c82469cfa51d90a39b4e86d506709d

4,599

py

Python

RecoBTag/PerformanceDB/python/measure/Pool_mistag110118.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

RecoBTag/PerformanceDB/python/measure/Pool_mistag110118.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

RecoBTag/PerformanceDB/python/measure/Pool_mistag110118.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from CondCore.DBCommon.CondDBCommon_cfi import * PoolDBESSourceMistag110118 = cms.ESSource("PoolDBESSource", CondDBCommon, toGet = cms.VPSet( # # working points # cms.PSet( record = cms.string('Per...

37.390244

88

0.704718

448

4,599

7.029018

0.125

0.125754

0.090822

0.111782

0.671324

0.447761

0.429343

0

0.015187

0.169602

4,599

122

89

37.696721

0.809374

0.003044

0

0.564103

0

0.394237

0.345558

0

1

0

false

0

0.017094

0

0.017094

0

null

0

null

0

1

0

829b4d9d2ba83ae6309dbbbee76b950d8044a7f9

7,423

py

Python

src/ScheduleEvaluation.py

franTarkenton/replication_health_check

61d9197c6e007650437789ef7780da422af6b7fe

[ "Apache-2.0" ]

null

src/ScheduleEvaluation.py

franTarkenton/replication_health_check

61d9197c6e007650437789ef7780da422af6b7fe

[ "Apache-2.0" ]

3

2020-04-17T21:52:43.000Z

2022-03-01T21:47:25.000Z

src/ScheduleEvaluation.py

franTarkenton/replication_health_check

61d9197c6e007650437789ef7780da422af6b7fe

[ "Apache-2.0" ]

3

2018-11-26T17:44:09.000Z

2021-04-14T22:10:38.000Z

''' Created on Nov 22, 2018 @author: kjnether methods that evaluate the given schedule ''' import logging import FMEUtil.FMEServerApiData import re class EvaluateSchedule(object): def __init__(self, schedulesData): self.logger = logging.getLogger(__name__) if not isinstance(sc...

43.409357

78

0.555166

648

7,423

6.311728

0.344136

0.017115

0.011002

0.011736

0.144988

0.138875

0.125183

0.096333

0.075795

0

0.003653

0.37303

7,423

170

79

43.664706

0.875161

0.198572

0

0.211009

0

0.091688

0

1

0.06422

false

0

0.027523

0

0.155963

0

null

0

null

0

1

0

829c52d86cde3835b9fe8363fe095b5e95155b81

3,319

py

Python

podcastista/ListenNowTab.py

andrsd/podcastista

c05a1de09d2820899aebe592d3d4b01d64d1e5fe

[ "MIT" ]

null

podcastista/ListenNowTab.py

andrsd/podcastista

c05a1de09d2820899aebe592d3d4b01d64d1e5fe

[ "MIT" ]

17

2021-09-22T12:21:46.000Z

2022-02-26T12:26:40.000Z

podcastista/ListenNowTab.py

andrsd/podcastista

c05a1de09d2820899aebe592d3d4b01d64d1e5fe

[ "MIT" ]

null

from PyQt5 import QtWidgets, QtCore from podcastista.ShowEpisodeWidget import ShowEpisodeWidget from podcastista.FlowLayout import FlowLayout class FillThread(QtCore.QThread): """ Worker thread for loading up episodes """ def __init__(self, spotify, shows): super().__init__() self._spotify = ...

31.913462

77

0.617957

340

3,319

5.802941

0.323529

0.036493

0.035479

0.031931

0.107451

0

0.007563

0.282917

3,319

103

78

32.223301

0.821429

0.033745

0

0.053333

0

0.0424

0

1

0.093333

false

0

0.04

0.013333

0.186667

0

null

0

null

0

1

0

829d0c9553bb774075d15e5e3d5751bc89e20c32

866

py

Python

ggpy/cruft/prolog_pyparser.py

hobson/ggpy

4e6e6e876c3a4294cd711647051da2d9c1836b60

[ "MIT" ]

1

2015-01-26T19:07:45.000Z

ggpy/cruft/prolog_pyparser.py

hobson/ggpy

4e6e6e876c3a4294cd711647051da2d9c1836b60

[ "MIT" ]

null

ggpy/cruft/prolog_pyparser.py

hobson/ggpy

4e6e6e876c3a4294cd711647051da2d9c1836b60

[ "MIT" ]

null

import pyparsing as pp #relationship will refer to 'track' in all of your examples relationship = pp.Word(pp.alphas).setResultsName('relationship') number = pp.Word(pp.nums + '.') variable = pp.Word(pp.alphas) # an argument to a relationship can be either a number or a variable argument = number | variable # argument...

37.652174

78

0.743649

120

866

5.358333

0.533333

0.027994

0.037325

0.043546

0

0.150115

866

23

79

37.652174

0.873641

0.453811

0

0.064378

0

1

0

false

0

0.1

0

0.1

0

null

0

null

0

1

0

829d9d6e41067c52d752f4bdf77ffcbc9b8f2f17

4,496

py

Python

Imaging/Core/Testing/Python/ReslicePermutations.py

inviCRO/VTK

a2dc2e79d4ecb8f6da900535b32e1a2a702c7f48

[ "BSD-3-Clause" ]

null

Imaging/Core/Testing/Python/ReslicePermutations.py

inviCRO/VTK

a2dc2e79d4ecb8f6da900535b32e1a2a702c7f48

[ "BSD-3-Clause" ]

null

Imaging/Core/Testing/Python/ReslicePermutations.py

inviCRO/VTK

a2dc2e79d4ecb8f6da900535b32e1a2a702c7f48

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python import vtk from vtk.util.misc import vtkGetDataRoot VTK_DATA_ROOT = vtkGetDataRoot() # this script tests vtkImageReslice with various axes permutations, # in order to cover a nasty set of "if" statements that check # the intersections of the raster lines with the input bounding box. # Image pipel...

35.125

70

0.803158

596

4,496

6.052013

0.206376

0.019961

0.010812

0.014416

0.157194

0.155808

0.080954

0.064874

0

0.104719

0.052714

4,496

127

71

35.401575

0.742193

0.063612

0

0.004759

0

0.001428

0

1

0

false

0

0.016807

0

0.016807

0

null

0

null

0

1

0

829dd3506bffa917743930aa6c0983eab6866732

2,916

py

Python

neuronlp2/nn/utils.py

ntunlp/ptrnet-depparser

61cb113327ede02996b16ea4b9e19311062603c3

[ "MIT" ]

9

2019-09-03T11:03:45.000Z

2021-09-19T05:38:25.000Z

neuronlp2/nn/utils.py

danifg/BottomUp-Hierarchical-PtrNet

2b6ebdb63825eafd63d86700bbbc278cabfafeb2

[ "MIT" ]

null

neuronlp2/nn/utils.py

danifg/BottomUp-Hierarchical-PtrNet

2b6ebdb63825eafd63d86700bbbc278cabfafeb2

[ "MIT" ]

1

2019-09-24T06:19:25.000Z

import collections from itertools import repeat import torch import torch.nn as nn import torch.nn.utils.rnn as rnn_utils def _ntuple(n): def parse(x): if isinstance(x, collections.Iterable): return x return tuple(repeat(x, n)) return parse _single = _ntuple(1) _pair = _ntuple(2) ...

32.043956

136

0.614883

397

2,916

4.329975

0.259446

0.051193

0.041885

0.034904

0.262362

0.23502

0.153578

0.14427

0.11402

0

0.008798

0.298354

2,916

90

137

32.4

0.831378

0.182785

0

0.296875

0

0.015385

0

0.015625

1

0.09375

false

0

0.078125

0

0.28125

0

null

0

null

0

1

0

829fa892ed939a93b224c00b60d5719ddb4dc7e0

2,176

py

Python

examples/fire.py

pombreda/py-lepton

586358747efe867208edafca112a3edbb24ff8f9

[ "MIT" ]

7

2018-02-20T02:56:03.000Z

2020-01-23T05:35:55.000Z

examples/fire.py

caseman/py-lepton

586358747efe867208edafca112a3edbb24ff8f9

[ "MIT" ]

1

2017-11-12T10:14:13.000Z

2017-11-12T10:14:44.000Z

examples/fire.py

caseman/py-lepton

586358747efe867208edafca112a3edbb24ff8f9

[ "MIT" ]

1

2019-01-05T00:38:50.000Z

############################################################################# # # Copyright (c) 2008 by Casey Duncan and contributors # All Rights Reserved. # # This software is subject to the provisions of the MIT License # A copy of the license should accompany this distribution. # THE SOFTWARE IS PROVIDED "AS IS", W...

27.544304

78

0.665901

326

2,176

4.334356

0.466258

0.019816

0.012739

0.011323

0.039632

0.031139

0.011323

0

0.067885

0.119945

2,176

78

79

27.897436

0.669974

0.19807

0

0.074074

0

0.007614

0

1

0.018519

false

0

0.166667

0

0.185185

0

null

0

null

0

1

0

829fbfa6185a88b37d0e4fc7be2c4271027f431b

3,810

py

Python

landspout/cli.py

gmr/landspout

1df922aa96c42dbfaa28681e748fbd97dfaf9836

[ "BSD-3-Clause" ]

null

landspout/cli.py

gmr/landspout

1df922aa96c42dbfaa28681e748fbd97dfaf9836

[ "BSD-3-Clause" ]

null

landspout/cli.py

gmr/landspout

1df922aa96c42dbfaa28681e748fbd97dfaf9836

[ "BSD-3-Clause" ]

null

# coding=utf-8 """ Command Line Interface ====================== """ import argparse import logging import os from os import path import sys from landspout import core, __version__ LOGGER = logging.getLogger('landspout') LOGGING_FORMAT = '[%(asctime)-15s] %(levelname)-8s %(name)-15s: %(message)s' def exit_applicat...

36.990291

78

0.599475

415

3,810

5.39759

0.378313

0.044196

0.083482

0.021429

0

0.005018

0.267717

3,810

102

79

37.352941

0.797849

0.105249

0

0.24284

0

1

0.057971

false

0

0.086957

0

0.15942

0

null

0

null

0

1

0

82a1dcab7cd90d7023343f02b2320478208cc588

26,434

py

Python

phone2board.py

brandjamie/phone2board

b27b6d8dfa944f03688df802a360f247f648b2f6

[ "MIT" ]

null

phone2board.py

brandjamie/phone2board

b27b6d8dfa944f03688df802a360f247f648b2f6

[ "MIT" ]

null

phone2board.py

brandjamie/phone2board

b27b6d8dfa944f03688df802a360f247f648b2f6

[ "MIT" ]

null

import tornado.httpserver import tornado.ioloop import tornado.options import tornado.web import tornado.auth import tornado.escape import os.path import logging import sys import urllib import json from uuid import uuid4 from tornado.options import define, options define("port", default=8000, help="run on the given...

36.970629

209

0.591208

2,393

26,434

6.473882

0.15211

0.086496

0.050155

0.026336

0.404919

0.343597

0.303834

0.291247

0.242512

0.224438

0

0.004129

0.267042

26,434

714

210

37.022409

0.795458

0.06223

0

0.414545

0

0.001818

0.138875

0.028478

0

1

0.118182

false

0

0.023636

0.014545

0.209091

0.107273

0

null

0

null

0

1

0

82a4b552433b963daf6809d4d3f789619df85472

432

py

Python

discord bot.py

salihdursun1/dc-bot

f5223f83134d6f8938d6bcf572613e80eb4ef33c

[ "Unlicense" ]

null

discord bot.py

salihdursun1/dc-bot

f5223f83134d6f8938d6bcf572613e80eb4ef33c

[ "Unlicense" ]

null

discord bot.py

salihdursun1/dc-bot

f5223f83134d6f8938d6bcf572613e80eb4ef33c

[ "Unlicense" ]

null

import discord from discord.ext.commands import Bot TOKEN = "<discordtoken>" client = discord.Client() bot = Bot(command_prefix="!") @bot.event async def on_ready(): print("Bot Hazır " + str(bot.user)) @bot.event async def on_message(message): if message.author == client.user: ret...

18

50

0.638889

55

432

4.963636

0.563636

0.058608

0.095238

0.117216

0.131868

0

0.231481

432

24

51

18

0.822289

0

0.133333

0

0.1

0

1

0

false

0

0.133333

0

0.2

0.066667

0

null

0

null

0

1

0

82a57dff7d64fdf50fbba80937d52605a8fc479c

7,357

py

Python

example_problems/tutorial/euler_dir/services/is_eulerian_server.py

romeorizzi/TALight

2b694cb487f41dd0d36d7aa39f5c9c5a21bfc18e

[ "MIT" ]

4

2021-06-27T13:27:24.000Z

2022-03-24T10:46:28.000Z

example_problems/tutorial/euler_dir/services/is_eulerian_server.py

romeorizzi/TALight

2b694cb487f41dd0d36d7aa39f5c9c5a21bfc18e

[ "MIT" ]

1

2021-01-23T06:50:31.000Z

2021-03-17T15:35:18.000Z

example_problems/tutorial/euler_dir/services/is_eulerian_server.py

romeorizzi/TALight

2b694cb487f41dd0d36d7aa39f5c9c5a21bfc18e

[ "MIT" ]

5

2021-04-01T15:21:57.000Z

2022-01-29T15:07:38.000Z

#!/usr/bin/env python3 # "This service will check your statement that a directed graph you provide us admits an eulerian walk (of the specified type)"" from os import EX_TEMPFAIL from sys import stderr, exit import collections from multilanguage import Env, Lang, TALcolors from TALinputs import TALinput from euler...

43.532544

722

0.578904

983

7,357

4.274669

0.207528

0.045693

0.068539

0.102808

0.665397

0.651357

0.586863

0.57306

0.552594

0

0.011857

0.289248

7,357

168

723

43.791667

0.791738

0.027865

0

0.669014

0

0.042254

0.365837

0.028679

0

1

0

false

0

0.042254

0

0.042254

0.232394

0

null

0

null

0

1

0

82a59289b498d6c0a5800f00f50c27c1b22e3ddd

1,047

py

Python

get_vocab.py

Amir-Mehrpanah/hgraph2graph

6d37153afe09f7684381ce56e8366675e22833e9

[ "MIT" ]

182

2019-11-15T15:59:31.000Z

2022-03-31T09:17:40.000Z

get_vocab.py

Amir-Mehrpanah/hgraph2graph

6d37153afe09f7684381ce56e8366675e22833e9

[ "MIT" ]

30

2020-03-03T16:35:52.000Z

2021-12-16T04:06:57.000Z

get_vocab.py

Amir-Mehrpanah/hgraph2graph

6d37153afe09f7684381ce56e8366675e22833e9

[ "MIT" ]

60

2019-11-15T05:06:11.000Z

2022-03-31T16:43:12.000Z

import sys import argparse from hgraph import * from rdkit import Chem from multiprocessing import Pool def process(data): vocab = set() for line in data: s = line.strip("\r\n ") hmol = MolGraph(s) for node,attr in hmol.mol_tree.nodes(data=True): smiles = attr['smiles'] ...

27.552632

81

0.603629

155

1,047

3.967742

0.406452

0.013008

0.029268

0.022764

0

0.005202

0.265521

1,047

37

82

28.297297

0.794538

0

0.03916

0

1

0.033333

false

0

0.166667

0

0.233333

0.033333

0

null

0

null

0

1

0

82a930b9747975fe0452c3e4307e6fa5f2321ccf

1,825

py

Python

Day_3/task2.py

DjaffDjaff/AdventOfCode

cf4f60dc71e349a44f4b5d07dbf4aa8555a4a37a

[ "MIT" ]

2

2021-12-03T23:14:28.000Z

2021-12-03T23:16:54.000Z

Day_3/task2.py

DjaffDjaff/AdventOfCode

cf4f60dc71e349a44f4b5d07dbf4aa8555a4a37a

[ "MIT" ]

null

Day_3/task2.py

DjaffDjaff/AdventOfCode

cf4f60dc71e349a44f4b5d07dbf4aa8555a4a37a

[ "MIT" ]

null

import math oxygen_rating = 0 co2_rating = 0 length = 0 n_bits = 12 common = [0] * n_bits anti = [0] * n_bits numbers = [] def new_bitmap(old_list): new_list = [0] * n_bits for num in old_list: for j, bit in enumerate(num): new_list[j] += bit return new_list wit...

23.701299

83

0.566575

270

1,825

3.688889

0.237037

0.088353

0.024096

0.033133

0.519076

0.458835

0.343373

0.2751

0

0.02381

0.309589

1,825

77

84

23.701299

0.766667

0.136986

0

0.212766

0

0.01745

0

1

0.021277

false

0

0.021277

0

0.06383

0

null

0

null

0

1

0

82a9ed6ace49d5ef752eef71a6cddc94ed97513e

7,838

py

Python

polyjuice/filters_and_selectors/perplex_filter.py

shwang/polyjuice

5f9a3a23d95e4a3877cc048cbcef01f071dc6353

[ "BSD-3-Clause" ]

38

2021-05-25T02:18:40.000Z

2022-03-25T12:09:58.000Z

polyjuice/filters_and_selectors/perplex_filter.py

shwang/polyjuice

5f9a3a23d95e4a3877cc048cbcef01f071dc6353

[ "BSD-3-Clause" ]

7

2021-06-03T04:08:55.000Z

2021-12-06T06:53:05.000Z

polyjuice/filters_and_selectors/perplex_filter.py

shwang/polyjuice

5f9a3a23d95e4a3877cc048cbcef01f071dc6353

[ "BSD-3-Clause" ]

5

2021-11-12T21:43:59.000Z

2022-03-22T21:51:08.000Z

import math import numpy as np from munch import Munch from transformers import GPT2LMHeadModel, GPT2TokenizerFast import torch from copy import deepcopy ######################################################################### ### compute perplexity ###################################################################...

43.787709

122

0.666114

1,038

7,838

4.78131

0.195568

0.02297

0.032239

0.012089

0.288938

0.234334

0.174491

0.140238

0.126939

0.105984

0

0.008778

0.200561

7,838

178

123

44.033708

0.783275

0.161776

0

0.137097

0

0.029705

0.00395

0

1

0.080645

false

0

0.048387

0.016129

0.209677

0

null

0

null

0

1

0

82ab0f9e283b82fa75f97cebd66085d095f1ab43

2,030

py

Python

Python/example_controllers/visual_perception/flow.py

ricklentz/tdw

da40eec151acae20b28d6486defb4358d96adb0e

[ "BSD-2-Clause" ]

null

Python/example_controllers/visual_perception/flow.py

ricklentz/tdw

da40eec151acae20b28d6486defb4358d96adb0e

[ "BSD-2-Clause" ]

null

Python/example_controllers/visual_perception/flow.py

ricklentz/tdw

da40eec151acae20b28d6486defb4358d96adb0e

[ "BSD-2-Clause" ]

null

from tdw.controller import Controller from tdw.tdw_utils import TDWUtils from tdw.add_ons.image_capture import ImageCapture from tdw.backend.paths import EXAMPLE_CONTROLLER_OUTPUT_PATH """ Get the _flow pass. """ c = Controller() object_id_0 = c.get_unique_id() object_id_1 = c.get_unique_id() object_id_2 = c.get_uniq...

39.803922

85

0.565025

281

2,030

3.765125

0.298932

0.166352

0.075614

0.089792

0.305293

0.226843

0.153119

0.062382

0

0.048679

0.291626

2,030

50

86

40.6

0.687065

0.019704

0

0.081591

0.022947

0

1

0

false

0.025

0.1

0

0.1

0.025

0

null

0

null

0

1

0

82ac7d1720a0d22103d819e764e895c0a4bca209

2,844

py

Python

main.py

pepetox/gae-angular-materialize

c6aee16dcc2eba75a254d783661e3115e492faa8

[ "MIT" ]

1

2015-10-18T13:48:23.000Z

main.py

pepetox/gae-angular-materialize

c6aee16dcc2eba75a254d783661e3115e492faa8

[ "MIT" ]

null

main.py

pepetox/gae-angular-materialize

c6aee16dcc2eba75a254d783661e3115e492faa8

[ "MIT" ]

null

# Copyright 2013 Google, 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 w...

26.830189

128

0.619902

347

2,844

5.040346

0.420749

0.034305

0.029731

0.03259

0.173242

0.145798

0.113779

0.080618

0

0.007006

0.247187

2,844

105

129

27.085714

0.809902

0.200422

0

0.222222

0

0.100487

0

1

0.126984

false

0

0.063492

0.015873

0.301587

0

null

0

null

0

1

0

82b3f2c4319142d22b0411ed2f4d9af5e7d4070c

1,955

py

Python

config.py

dhkim2810/MaskedDatasetCondensation

f52144e9cd68e46b4ebdbcaf96829edb732b79ae

[ "Apache-2.0" ]

null

config.py

dhkim2810/MaskedDatasetCondensation

f52144e9cd68e46b4ebdbcaf96829edb732b79ae

[ "Apache-2.0" ]

null

config.py

dhkim2810/MaskedDatasetCondensation

f52144e9cd68e46b4ebdbcaf96829edb732b79ae

[ "Apache-2.0" ]

null

def get_default_convnet_setting(): net_width, net_depth, net_act, net_norm, net_pooling = 128, 3, 'relu', 'instancenorm', 'avgpooling' return net_width, net_depth, net_act, net_norm, net_pooling def get_loops(ipc): # Get the two hyper-parameters of outer-loop and inner-loop. # The following values are ...

45.465116

103

0.653708

263

1,955

4.631179

0.372624

0.081281

0.096059

0.118227

0.064039

0

0.037723

0.22711

1,955

43

104

45.465116

0.768365

0.167263

0

0.052632

0

0.183447

0

1

0.078947

false

0

0.157895

0

null

0

null

0

1

0

82b41b0e9cd71d4a56a4ea2a15f286f90fd054f6

4,324

py

Python

jgem/dataset/__init__.py

kensugino/JUGEMu

3ebf19c96e41f1c90d63d772fd4c9c5cc3d6886f

[ "MIT" ]

null

jgem/dataset/__init__.py

kensugino/JUGEMu

3ebf19c96e41f1c90d63d772fd4c9c5cc3d6886f

[ "MIT" ]

null

jgem/dataset/__init__.py

kensugino/JUGEMu

3ebf19c96e41f1c90d63d772fd4c9c5cc3d6886f

[ "MIT" ]

null

""" Expression Dataset for analysis of matrix (RNASeq/microarray) data with annotations """ import pandas as PD import numpy as N from matplotlib import pylab as P from collections import OrderedDict from ast import literal_eval # from ..plot.matrix import matshow_clustered class ExpressionSet(object): def...

35.442623

124

0.612165

618

4,324

4.168285

0.260518

0.023292

0.027174

0.337733

0.266693

0.195652

0.159938

0.132764

0.048137

0

0.013608

0.235199

4,324

121

125

35.735537

0.765346

0.177382

0

0.120482

0

0.035869

0

1

0.108434

false

0.024096

0.060241

0

0.253012

0

null

0

null

0

1

0

82b57b3ca054137769bfb034aa43dd12bdcde046

9,653

py

Python

cenv_script/cenv_script.py

technic/cenv_script

6c3a9047faec4723f61ad5795f0d8019c0de03ec

[ "MIT" ]

null

cenv_script/cenv_script.py

technic/cenv_script

6c3a9047faec4723f61ad5795f0d8019c0de03ec

[ "MIT" ]

null

cenv_script/cenv_script.py

technic/cenv_script

6c3a9047faec4723f61ad5795f0d8019c0de03ec

[ "MIT" ]

null

"""Main module.""" import json import os import re import shutil import subprocess import sys from pathlib import Path from typing import List, Optional import yaml ENV_FILE = "environment.yml" class CondaEnvException(Exception): pass def find_environment_file(): p = Path(os.getcwd()).resolve() while...

33.171821

115

0.574536

1,193

9,653

4.464376

0.181894

0.030041

0.022531

0.021404

0.44893

0.385843

0.362749

0.325573

0.299662

0.273939

0

0.003328

0.315135

9,653

290

116

33.286207

0.802299

0.080804

0

0.292035

0

0.004425

0.159275

0.005815

0

1

0.10177

false

0.004425

0.039823

0.00885

0.256637

0.075221

0

null

0

null

0

1

0

82b9e4c2e702d4c81505c6425db3c75c45108c10

2,191

py

Python

clearml/backend_interface/setupuploadmixin.py

arielleoren/clearml

01f0be9895272c483129bab784a43cbd002022a7

[ "Apache-2.0" ]

2,097

2019-06-11T14:36:25.000Z

2020-12-21T03:52:59.000Z

clearml/backend_interface/setupuploadmixin.py

arielleoren/clearml

01f0be9895272c483129bab784a43cbd002022a7

[ "Apache-2.0" ]

347

2020-12-23T22:38:48.000Z

2022-03-31T20:01:06.000Z

clearml/backend_interface/setupuploadmixin.py

arielleoren/clearml

01f0be9895272c483129bab784a43cbd002022a7

[ "Apache-2.0" ]

256

2019-06-11T14:36:28.000Z

2020-12-18T08:32:47.000Z

from abc import abstractproperty from ..backend_config.bucket_config import S3BucketConfig from ..storage.helper import StorageHelper class SetupUploadMixin(object): log = abstractproperty() storage_uri = abstractproperty() def setup_upload( self, bucket_name, host=None, access_key=None, sec...

45.645833

167

0.665906

285

2,191

5.035088

0.326316

0.04878

0.019512

0.025087

0.24878

0.236934

0.16446

0

0.006177

0.261068

2,191

47

168

46.617021

0.880173

0.525787

0

0.056779

0.033604

0

1

0.05

false

0

0.15

0

0.35

0

null

0

null

0

1

0

82ba0e0fc40394fedf62fac1ec2c951372c86121

2,872

py

Python

tests/test_parser.py

szymon6927/parcels-parser

c2cee7a75edfbb0abba0fc4ea99c7a84e24e3749

[ "MIT" ]

null

tests/test_parser.py

szymon6927/parcels-parser

c2cee7a75edfbb0abba0fc4ea99c7a84e24e3749

[ "MIT" ]

null

tests/test_parser.py

szymon6927/parcels-parser

c2cee7a75edfbb0abba0fc4ea99c7a84e24e3749

[ "MIT" ]

null

import os import unittest import pandas as pd from application.ParcelsParser import ParcelsParser class TestPracelsParser(unittest.TestCase): def setUp(self): self.parser = ParcelsParser("./test_cadastral_parcels.tsv", "cadastral_parcel_identifier") def test_if_file_exist(self): file_path = ...

37.789474

99

0.683496

371

2,872

4.978437

0.202156

0.086627

0.077423

0.046021

0.413102

0.35896

0.343801

0.305901

0

0.005166

0.191156

2,872

75

100

38.293333

0.789927

0

0.254545

0

0.091922

0.030989

0

0.236364

1

0.127273

false

0

0.072727

0

0.218182

0

null

0

null

0

1

0

82bbb29af0b1433647177912df15449203606a08

3,322

py

Python

sd_maskrcnn/sd_maskrcnn/gop/src/eval_bnd.py

marctuscher/cv_pipeline

b641423e72ea292139a5e35a411e30c1e21c7070

[ "MIT" ]

1

2021-03-28T17:46:45.000Z

sd-maskrcnn/sd_maskrcnn/gop/src/eval_bnd.py

jayef0/cv_pipeline

dc3b79062174f583a3a90ac8deea918c498c0dd5

[ "MIT" ]

null

sd-maskrcnn/sd_maskrcnn/gop/src/eval_bnd.py

jayef0/cv_pipeline

dc3b79062174f583a3a90ac8deea918c498c0dd5

[ "MIT" ]

null

# -*- encoding: utf-8 """ Copyright (c) 2014, Philipp Krähenbühl All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright ...

53.580645

219

0.654425

551

3,322

3.891107

0.375681

0.05597

0.035914

0.041978

0.190299

0.143657

0.081157

0

0.046863

0.184226

3,322

61

220

54.459016

0.74428

0.491872

0

0.035714

0.113594

0

1

0

false

0

0.107143

0

0.107143

0.285714

0

null

0

null

0

1

0

82bc8b7d1c31f1a7b50154e6eb1646fd9530ca29

1,473

py

Python

ctr_prediction/datasets/Amazon/AmazonElectronics_x1/convert_amazonelectronics_x1.py

jimzhu/OpenCTR-benchmarks

e8e723cd7a0ef5ddd40e735b85ce7669955a3a99

[ "Apache-2.0" ]

59

2021-10-31T13:59:37.000Z

2022-03-31T12:05:55.000Z

ctr_prediction/datasets/Amazon/AmazonElectronics_x1/convert_amazonelectronics_x1.py

jimzhu/OpenCTR-benchmarks

e8e723cd7a0ef5ddd40e735b85ce7669955a3a99

[ "Apache-2.0" ]

5

2021-12-06T12:11:21.000Z

2022-03-18T06:21:13.000Z

ctr_prediction/datasets/Amazon/AmazonElectronics_x1/convert_amazonelectronics_x1.py

jimzhu/OpenCTR-benchmarks

e8e723cd7a0ef5ddd40e735b85ce7669955a3a99

[ "Apache-2.0" ]

17

2021-10-21T10:44:09.000Z

2022-03-24T11:35:09.000Z

import pickle import pandas as pd # cat aa ab ac > dataset.pkl from https://github.com/zhougr1993/DeepInterestNetwork with open('dataset.pkl', 'rb') as f: train_set = pickle.load(f, encoding='bytes') test_set = pickle.load(f, encoding='bytes') cate_list = pickle.load(f, encoding='bytes') user_count, i...

42.085714

119

0.692464

242

1,473

3.96281

0.227273

0.050052

0.052138

0.114703

0.553702

0.476538

0.343066

0

0.015055

0.143245

1,473

34

120

43.323529

0.744849

0.05499

0

0.214286

0

0.110871

0

1

0

false

0

0.071429

0

0.071429

0

null

0

null

0

1

0

82c010e02b691e4b2aad5f24f459cf89f58d643c

6,265

py

Python

Tableau-Supported/Python/insert_data_with_expressions.py

TableauKyle/hyper-api-samples

37c21c988122c6dbfb662d9ec72d90c4cd30e4cc

[ "MIT" ]

73

2020-04-29T15:41:55.000Z

2022-03-12T04:55:24.000Z

Tableau-Supported/Python/insert_data_with_expressions.py

TableauKyle/hyper-api-samples

37c21c988122c6dbfb662d9ec72d90c4cd30e4cc

[ "MIT" ]

32

2020-06-10T00:47:20.000Z

2022-03-28T11:19:00.000Z

Tableau-Supported/Python/insert_data_with_expressions.py

TableauKyle/hyper-api-samples

37c21c988122c6dbfb662d9ec72d90c4cd30e4cc

[ "MIT" ]

54

2020-05-01T20:01:51.000Z

2022-03-28T11:11:00.000Z

# ----------------------------------------------------------------------------- # # This file is the copyrighted property of Tableau Software and is protected # by registered patents and other applicable U.S. and international laws and # regulations. # # You may adapt this file and modify it to fit into your context an...

53.547009

160

0.653312

735

6,265

5.45034

0.297959

0.024963

0.049925

0.055417

0.277084

0.190714

0.181727

0.170494

0.121068

0

0.009255

0.241181

6,265

116

161

54.008621

0.833403

0.420112

0

0.067797

0

0.016949

0.20162

0.04496

0

1

0.016949

false

0

0.050847

0

0.067797

0.084746

0

null

0

null

0

1

0

82c029ca3481da78e9c1db45150fc5d81b30aeac

2,234

py

Python

dumplogs/bin.py

xinhuagu/dumplogs

5580ff5fe4b054ab9a007e1a023b01fa71917f80

[ "BSD-3-Clause" ]

1

2021-05-02T11:51:45.000Z

dumplogs/bin.py

xinhuagu/dumplogs

5580ff5fe4b054ab9a007e1a023b01fa71917f80

[ "BSD-3-Clause" ]

null

dumplogs/bin.py

xinhuagu/dumplogs

5580ff5fe4b054ab9a007e1a023b01fa71917f80

[ "BSD-3-Clause" ]

null

import boto3 import argparse import os,sys def main(argv=None): argv = (argv or sys.argv)[1:] parser = argparse.ArgumentParser(description='dump all aws log streams into files') parser.add_argument("--profile", dest="aws_profile", type=str, ...

29.394737

87

0.581021

237

2,234

5.240506

0.375527

0.057971

0.041063

0.045089

0.127214

0

0.004534

0.308863

2,234

75

88

29.786667

0.79987

0

0.189655

0

0.120018

0

1

0.017241

false

0

0.051724

0

0.068966

0.051724

0

null

0

null

0

1

0

82c2685c2ffd7e5c7861dd6a5e7721b4f4a54e32

5,239

py

Python

ch5/gaussian_mixture.py

susantamoh84/HandsOn-Unsupervised-Learning-with-Python

056953d0462923a674faf0a23b27239bc9f69975

[ "MIT" ]

25

2018-09-03T11:12:49.000Z

2022-03-13T01:42:57.000Z

Chapter05/gaussian_mixture.py

AIRob/HandsOn-Unsupervised-Learning-with-Python

1dbe9b3fdf5255f610e0c9c52a82935baa6a4a3e

[ "MIT" ]

null

Chapter05/gaussian_mixture.py

AIRob/HandsOn-Unsupervised-Learning-with-Python

1dbe9b3fdf5255f610e0c9c52a82935baa6a4a3e

[ "MIT" ]

35

2018-09-15T11:06:12.000Z

2021-12-08T04:28:55.000Z

import numpy as np import matplotlib.pyplot as plt import seaborn as sns from sklearn.datasets import make_blobs from sklearn.mixture import GaussianMixture from sklearn.cluster import KMeans from matplotlib.patches import Ellipse # For reproducibility np.random.seed(1000) nb_samples = 300 nb_centers = 2 if __na...

32.339506

119

0.604314

873

5,239

3.502864

0.190149

0.015697

0.019621

0.022891

0.452583

0.391105

0.303139

0.215173

0.149117

0

0.079684

0.202329

5,239

161

120

32.540373

0.65207

0.050773

0

0.107843

0

0.029412

0.103407

0

1

0

false

0

0.068627

0

0.068627

0.098039

0

null

0

null

0

1

0

82c29ca8b328d9cb75ca5d391549720bbf654d8a

5,771

py

Python

shipyard2/shipyard2/rules/images/merge_image.py

clchiou/garage

446ff34f86cdbd114b09b643da44988cf5d027a3

[ "MIT" ]

3

2016-01-04T06:28:52.000Z

2020-09-20T13:18:40.000Z

shipyard2/shipyard2/rules/images/merge_image.py

clchiou/garage

446ff34f86cdbd114b09b643da44988cf5d027a3

[ "MIT" ]

null

shipyard2/shipyard2/rules/images/merge_image.py

clchiou/garage

446ff34f86cdbd114b09b643da44988cf5d027a3

[ "MIT" ]

null

__all__ = [ 'DEFAULT_FILTERS', 'DEFAULT_XAR_FILTERS', 'merge_image', ] import contextlib import logging import tempfile from pathlib import Path from g1 import scripts from g1.containers import models from g1.containers import scripts as ctr_scripts from . import utils LOG = logging.getLogger(__name__) ...

34.35119

78

0.612199

715

5,771

4.841958

0.325874

0.066436

0.036395

0.012709

0.181398

0.105142

0.064125

0.036973

0.017909

0

0.002641

0.212615

5,771

167

79

34.556886

0.759243

0.283313

0

0.016393

0

0.361951

0.066829

0

1

0.016393

false

0.016393

0.065574

0.008197

0.090164

0

null

0

null

0

1

0

82c30affdd6735cd19f09c9fa98712ebb317fd91

289

py

Python

python3/best_time_stock1.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

1

2020-10-08T09:17:40.000Z

python3/best_time_stock1.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

null

python3/best_time_stock1.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

null

""" Space : O(1) Time : O(n) """ class Solution: def maxProfit(self, prices: List[int]) -> int: start, dp = 10**10, 0 for i in prices: print(start) start = min(start, i) dp = max(dp, i-start) return dp

19.266667

50

0.439446

37

289

3.432432

0.648649

0

0.036145

0.425606

289

15

51

19.266667

0.728916

0.100346

0

1

0.125

false

0

0.375

0.125

0

null

0

null

0

1

0

82c36eb8e029351535cbcf82344721060c30bebf

3,534

py

Python

foreverbull/foreverbull.py

quantfamily/foreverbull-python

4f8144b6d964e9c0d1209f0421dc960b82a15400

[ "Apache-2.0" ]

null

foreverbull/foreverbull.py

quantfamily/foreverbull-python

4f8144b6d964e9c0d1209f0421dc960b82a15400

[ "Apache-2.0" ]

9

2021-11-24T10:45:27.000Z

2022-02-26T19:12:47.000Z

foreverbull/foreverbull.py

quantfamily/foreverbull-python

4f8144b6d964e9c0d1209f0421dc960b82a15400

[ "Apache-2.0" ]

null

import logging import threading from concurrent.futures import ThreadPoolExecutor from multiprocessing import Queue from foreverbull.worker.worker import WorkerHandler from foreverbull_core.models.finance import EndOfDay from foreverbull_core.models.socket import Request from foreverbull_core.models.worker import Inst...

36.061224

91

0.649689

375

3,534

5.944

0.314667

0.053836

0.051144

0.033647

0.080754

0.031404

0

0.00077

0.265139

3,534

97

92

36.43299

0.857528

0

0.154762

0

0.087436

0

1

0.095238

false

0.011905

0.130952

0

0.297619

0

null

0

null

0

1

0

82c418de34320061d50470074e4e4e6e0fe9752b

704

py

Python

scopus/tests/test_AffiliationSearch.py

crew102/scopus

d8791c162cef4c2f830d983b435333d9d8eaf472

[ "MIT" ]

null

scopus/tests/test_AffiliationSearch.py

crew102/scopus

d8791c162cef4c2f830d983b435333d9d8eaf472

[ "MIT" ]

null

scopus/tests/test_AffiliationSearch.py

crew102/scopus

d8791c162cef4c2f830d983b435333d9d8eaf472

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `AffiliationSearch` module.""" from collections import namedtuple from nose.tools import assert_equal, assert_true import scopus s = scopus.AffiliationSearch('af-id(60021784)', refresh=True) def test_affiliations(): received = s.affiliations asser...

29.333333

79

0.691761

82

704

5.878049

0.621951

0.045643

0

0.048276

0.176136

704

23

80

30.608696

0.782759

0.113636

0

0.218801

0

0.230769

1

0.076923

false

0

0.230769

0

0.307692

0

null

0

null

0

1

0

82c61ef5a2ffb92917f588c48559df6bc3be2564

10,832

py

Python

libs3/maxwellccs.py

tmpbci/LJ

4c40e2ddf862f94dcfeb3cc48c41aad44a3a8d34

[ "CNRI-Python" ]

7

2019-03-20T00:09:14.000Z

2022-03-06T23:18:20.000Z

libs3/maxwellccs.py

tmpbci/LJ

4c40e2ddf862f94dcfeb3cc48c41aad44a3a8d34

[ "CNRI-Python" ]

null

libs3/maxwellccs.py

tmpbci/LJ

4c40e2ddf862f94dcfeb3cc48c41aad44a3a8d34

[ "CNRI-Python" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- """ Maxwell Macros v0.7.0 by Sam Neurohack from /team/laser Launchpad set a "current path" """ from OSC3 import OSCServer, OSCClient, OSCMessage import time import numpy as np import rtmidi from rtmidi.midiutil import open_midiinput from threading import Thread from r...

26.745679

110

0.625185

1,304

10,832

5.185583

0.203988

0.026619

0.035492

0.056196

0.588583

0.530612

0.497338

0.458592

0.379178

0.359065

0

0.042326

0.212611

10,832

404

111

26.811881

0.750498

0.114753

0

0.394309

0

0.171904

0.0066

0

1

0.150407

false

0.004065

0.036585

0

0.211382

0.097561

0

null

0

null

0

1

0

82c74e30b862d202367459727b08bf47fdb074f4

1,762

py

Python

osbuild/dist.py

dnarvaez/osbuild

08031487481ba23597f19cb3e106628e5c9d440d

[ "Apache-2.0" ]

null

osbuild/dist.py

dnarvaez/osbuild

08031487481ba23597f19cb3e106628e5c9d440d

[ "Apache-2.0" ]

1

2016-11-13T01:04:18.000Z

osbuild/dist.py

dnarvaez/osbuild

08031487481ba23597f19cb3e106628e5c9d440d

[ "Apache-2.0" ]

2

2015-01-06T20:57:55.000Z

2015-11-15T20:14:09.000Z

# Copyright 2013 Daniel Narvaez # # 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 writi...

25.536232

74

0.715096

244

1,762

5.012295

0.45082

0.04906

0.039248

0.026165

0.075225

0

0.00563

0.19353

1,762

68

75

25.911765

0.855032

0.312145

0

0.151515

0

0.062657

0

1

0.121212

false

0

0.151515

0

0.484848

0.030303

0

null

0

null

0

1

0

82c7e82524f111efe667928715ea87dcc4155b43

1,194

py

Python

neural_net/game_status.py

Ipgnosis/tic_tac_toe

e1519b702531965cc647ff37c1c46d72f4b3b24e

[ "BSD-3-Clause" ]

null

neural_net/game_status.py

Ipgnosis/tic_tac_toe

e1519b702531965cc647ff37c1c46d72f4b3b24e

[ "BSD-3-Clause" ]

4

2021-03-25T19:52:40.000Z

2021-12-12T17:57:11.000Z

neural_net/game_status.py

Ipgnosis/tic_tac_toe

e1519b702531965cc647ff37c1c46d72f4b3b24e

[ "BSD-3-Clause" ]

null

# node to capture and communicate game status # written by Russell on 5/18 class Game_state(): node_weight = 1 # node_bias = 1 # not going to use this for now, but may need it later list_of_moves = [] def __init__(self, node_list): self.node_list = node_list def num_moves(self): ...

24.367347

101

0.569514

173

1,194

3.699422

0.358382

0.1125

0.15

0.117188

0.253125

0.128125

0

0.014907

0.325796

1,194

48

102

24.875

0.780124

0.201005

0

0.08

0

0.002112

0

1

0.2

false

0

0.52

0

null

0

null

0

1

0

82c885deedbc0d14255bfcc8dfea36b0a64e58d5

13,340

py

Python

alphatrading/system/db_methods/method_sqlite3.py

LoannData/Q26_AlphaTrading

b8e6983e59f942352150f76541d880143cca4478

[ "MIT" ]

null

alphatrading/system/db_methods/method_sqlite3.py

LoannData/Q26_AlphaTrading

b8e6983e59f942352150f76541d880143cca4478

[ "MIT" ]

null

alphatrading/system/db_methods/method_sqlite3.py

LoannData/Q26_AlphaTrading

b8e6983e59f942352150f76541d880143cca4478

[ "MIT" ]

null

""" """ import sqlite3 import numpy as np import math class SQL: def __init__(self): self.path = None self.connexion = None self.cursor = None self.verbose = False def to_SQL_type(self, type_, mode = "format"): """ Function allowing to...

32.378641

139

0.422414

1,164

13,340

4.752577

0.178694

0.015184

0.013015

0.029103

0.358098

0.338756

0.290672

0.279826

0.255242

0.232466

0

0.005025

0.448051

13,340

411

140

32.457421

0.746299

0.2994

0

0.378378

0

0.047092

0

0.045045

0

1

0.054054

false

0

0.013514

0

0.193694

0.004505

0

null

0

null

0

1

0

82ca9321fb77ad0b8c97cc3c98eb832716ddecc4

4,832

py

Python

var/spack/repos/builtin/packages/autoconf/package.py

LiamBindle/spack

e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1

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

2,360

2017-11-06T08:47:01.000Z

2022-03-31T14:45:33.000Z

var/spack/repos/builtin/packages/autoconf/package.py

LiamBindle/spack

e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1

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

13,838

2017-11-04T07:49:45.000Z

2022-03-31T23:38:39.000Z

var/spack/repos/builtin/packages/autoconf/package.py

LiamBindle/spack

e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1

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

1,793

2017-11-04T07:45:50.000Z

2022-03-30T14:31:53.000Z

# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) import re class Autoconf(AutotoolsPackage, GNUMirrorPackage): """Autoconf -- system configuration part of autotools"...

45.158879

112

0.657078

544

4,832

5.792279

0.4375

0.007617

0.013964

0.010156

0.124722

0.068232

0

0.135193

0.228477

4,832

106

113

45.584906

0.710032

0.280422

0

0.03125

0

0.0625

0.418092

0.175413

0

1

0.09375

false

0.015625

0.234375

0

null

0

null

0

1

0

82cb4d12dfd598eacff3048f5dbbafb527f62c06

11,563

py

Python

seg/segmentor/tools/module_runner.py

Frank-Abagnal/HRFormer

d7d362770de8648f8e0a379a71cee25f42954503

[ "MIT" ]

254

2021-08-13T10:05:22.000Z

2022-03-25T09:21:45.000Z

seg/segmentor/tools/module_runner.py

Sense-X/HRFormer

1245b88b5824fbd8cdb358b5ee909a4e537a2ef5

[ "MIT" ]

17

2021-09-08T01:40:49.000Z

2022-03-23T10:53:47.000Z

seg/segmentor/tools/module_runner.py

Sense-X/HRFormer

1245b88b5824fbd8cdb358b5ee909a4e537a2ef5

[ "MIT" ]

48

2021-08-13T14:06:58.000Z

2022-03-30T02:41:26.000Z

#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: Donny You(youansheng@gmail.com) # Some methods used by main methods. from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import os from collections import OrderedDict import torch import torch...

41.894928

115

0.585488

1,357

11,563

4.813559

0.198968

0.121249

0.105634

0.028628

0.330986

0.254593

0.183711

0.164115

0.137477

0.126454

0

0.0055

0.292398

11,563

275

116

42.047273

0.792838

0.103433

0

0.14359

0

0.130916

0.002156

0

1

0.061538

false

0

0.066667

0.005128

0.184615

0.005128

0

null

0

null

0

1

0

82cc626afaea4df2938aee10cb59917cc59cdc28

1,861

py

Python

scripts/si_figs.py

gbirzu/density-dependent_dispersal_growth

edd1207f57b63e2827af385d4e868306ff308746

[ "MIT" ]

null

scripts/si_figs.py

gbirzu/density-dependent_dispersal_growth

edd1207f57b63e2827af385d4e868306ff308746

[ "MIT" ]

null

scripts/si_figs.py

gbirzu/density-dependent_dispersal_growth

edd1207f57b63e2827af385d4e868306ff308746

[ "MIT" ]

null

import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt import pickle import scipy.stats as stats data_path = '../data/het_average.dat' output_dir = '../figures/' # Configure matplotlib environment helvetica_scale_factor = 0.92 # rescale Helvetica to other fonts of same size mpl.rcParams['font.siz...

33.836364

119

0.703923

269

1,861

4.63197

0.446097

0.097111

0.064205

0.043339

0.15008

0.049759

0

0.0178

0.154756

1,861

54

120

34.462963

0.774317

0.052123

0

0.04878

0

0.156339

0.013076

0

1

0.04878

false

0

0.121951

0

0.195122

0.073171

0

null

0

null

0

1

0

82cd32f83dde9f87b3ac04ec47ec6fefab6101d7

7,532

py

Python

language.py

sanine-a/dream-atlas

cd44c43ec6cf5e7a95ae231ba7174a6891d93474

[ "MIT" ]

null

language.py

sanine-a/dream-atlas

cd44c43ec6cf5e7a95ae231ba7174a6891d93474

[ "MIT" ]

null

language.py

sanine-a/dream-atlas

cd44c43ec6cf5e7a95ae231ba7174a6891d93474

[ "MIT" ]

null

from random import random, choice, seed, shuffle, randint from math import ceil import copy target = [ 2, 2, 3, 1, 4, 5 ] consonants_base = [ 'p', 't', 'k', 'm', 'n' ] vowels = [ [ 'a', 'i', 'u' ], [ 'a', 'i', 'u', 'e', 'o' ], [ 'a', 'A', 'i', 'I', 'u', 'U', 'e', 'E', 'o', 'O' ] ] consonants_ex...

34.392694

175

0.454461

886

7,532

3.831828

0.21219

0.026804

0.021208

0.038881

0.157879

0.086009

0.058321

0.038881

0.017673

0

0.01332

0.352098

7,532

218

176

34.550459

0.682377

0.016994

0

0.158192

0

0.064678

0

1

0.079096

false

0

0.016949

0.20904

0

null

0

null

0

1

0

82d391d63340bb25ffc76c9865651669de389703

8,452

py

Python

fbm-scraper.py

cbdelavenne/fb-messenger-media-scraper

ff4ed228f3520f208e048e34ae24d7576b0089bc

[ "MIT" ]

8

2019-11-23T17:45:11.000Z

2021-05-27T10:41:47.000Z

fbm-scraper.py

cbdelavenne/fb-messenger-media-scraper

ff4ed228f3520f208e048e34ae24d7576b0089bc

[ "MIT" ]

10

2019-11-23T17:41:22.000Z

2022-01-03T11:10:50.000Z

fbm-scraper.py

cbdelavenne/fb-messenger-media-scraper

ff4ed228f3520f208e048e34ae24d7576b0089bc

[ "MIT" ]

4

2020-03-21T23:24:40.000Z

2022-02-20T10:40:38.000Z

import os import requests import time import uuid import configparser import datetime import fbchat import re from fbchat import Client, ImageAttachment from fbchat import FBchatException from pathlib import Path politeness_index = 0.5 # ;) epoch = datetime.datetime(1970, 1, 1) # Hack to get the login to work, see:...

41.229268

139

0.614411

1,019

8,452

4.882237

0.242395

0.030955

0.032563

0.018492

0.14995

0.100905

0.048643

0.027739

0

0.010537

0.292593

8,452

204

140

41.431373

0.821542

0.131921

0

0.053435

0

0.015267

0.186237

0.008169

0

1

0.022901

false

0.015267

0.083969

0

0.129771

0.10687

0

null

0

null

0

1

0

82d3afd1c39a5492eb62a1c160ebc7e3bbf21e20

1,565

py

Python

guru/users/models.py

Jeromeschmidt/Guru

3128a539e55b46afceb33b59c0bafaec7e9f630a

[ "MIT" ]

null

guru/users/models.py

Jeromeschmidt/Guru

3128a539e55b46afceb33b59c0bafaec7e9f630a

[ "MIT" ]

1

2021-02-26T02:49:34.000Z

guru/users/models.py

Jeromeschmidt/Guru

3128a539e55b46afceb33b59c0bafaec7e9f630a

[ "MIT" ]

1

2020-02-24T18:09:00.000Z

from django.contrib.auth.models import AbstractUser from django.db.models import (BooleanField, CASCADE, CharField, FloatField, IntegerField, ManyToManyField, Model, OneToOneField, PositiveSmallIntegerField) from django.contrib.postgres.fields import ArrayFiel...

44.714286

75

0.676677

181

1,565

5.734807

0.491713

0.057803

0.049133

0.192678

0.136802

0.073218

0

0.014155

0.232588

1,565

34

76

46.029412

0.850125

0.192971

0

0.025498

0

1

0.041667

false

0

0.25

0.041667

0.75

0

null

0

null

0

1

0

82d45629fe3b78bf615a134ee2b08fe22d31ec28

4,544

py

Python

gaetk2/tools/auth0tools.py

mdornseif/appengine-toolkit2

47ee6bf99b8e461ee64eae75bf24fb462d99b0ab

[ "MIT" ]

1

2018-08-16T16:15:30.000Z

gaetk2/tools/auth0tools.py

mdornseif/appengine-toolkit2

47ee6bf99b8e461ee64eae75bf24fb462d99b0ab

[ "MIT" ]

3

2018-08-14T09:52:11.000Z

2021-12-13T19:54:07.000Z

gaetk2/tools/auth0tools.py

mdornseif/appengine-toolkit2

47ee6bf99b8e461ee64eae75bf24fb462d99b0ab

[ "MIT" ]

1

2018-09-28T05:55:27.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """gaetk2.tools.auth0.py Tools for working with auth0 Created by Maximillian Dornseif on 2017-12-05. Copyright 2017 HUDROA. MIT Licensed. """ from __future__ import unicode_literals import logging from google.appengine.api import memcache from auth0.v3.authentication ...

39.172414

107

0.590889

493

4,544

5.300203

0.31643

0.042863

0.021431

0.029085

0.041332

0

0.01962

0.293354

4,544

115

108

39.513043

0.794145

0.09265

0

0.131868

0

0.163335

0.011702

0

0.021978

1

0.021978

false

0.010989

0.076923

0

0.153846

0

null

0

null

0

1

0

82d6583dc3d6537a4f4d2769235a1441edc42642

705

py

Python

Q56MergeIntervals.py

ChenliangLi205/LeetCode

6c547c338eb05042cb68f57f737dce483964e2fd

[ "MIT" ]

null

Q56MergeIntervals.py

ChenliangLi205/LeetCode

6c547c338eb05042cb68f57f737dce483964e2fd

[ "MIT" ]

null

Q56MergeIntervals.py

ChenliangLi205/LeetCode

6c547c338eb05042cb68f57f737dce483964e2fd

[ "MIT" ]

null

# Definition for an interval. # class Interval: # def __init__(self, s=0, e=0): # self.start = s # self.end = e class Solution: def merge(self, intervals): """ :type intervals: List[Interval] :rtype: List[Interval] """ if len(intervals) <= 1: ...

28.2

49

0.520567

79

705

4.594937

0.455696

0.057851

0

0.013393

0.364539

705

24

50

29.375

0.796875

0.251064

0

1

0.071429

false

0

0.285714

0

null

0

null

0

1

0

82d79ad0214596b7ecad4fe78d6e48cdeddf92f7

843

py

Python

.github/scripts/check-status.py

antmicro/f4pga-arch-defs

dac6ffd8890227ea541ee892549e41c68588ad99

[ "ISC" ]

null

.github/scripts/check-status.py

antmicro/f4pga-arch-defs

dac6ffd8890227ea541ee892549e41c68588ad99

[ "ISC" ]

78

2022-03-01T19:40:20.000Z

2022-03-31T19:56:24.000Z

.github/scripts/check-status.py

antmicro/f4pga-arch-defs

dac6ffd8890227ea541ee892549e41c68588ad99

[ "ISC" ]

null

#!/usr/bin/env python3 from sys import argv from pathlib import Path from re import compile as re_compile PACKAGE_RE = re_compile("symbiflow-arch-defs-([a-zA-Z0-9_-]+)-([a-z0-9])") with (Path(__file__).parent.parent.parent / 'packages.list').open('r') as rptr: for artifact in rptr.read().splitlines(): m ...

35.125

94

0.622776

111

843

4.612613

0.540541

0.107422

0.099609

0

0.01072

0.225386

843

23

95

36.652174

0.773354

0.024911

0

0.058824

0.360536

0.186358

0

0.058824

1

0

false

0

0.176471

0

0.176471

0

null

0

null

0

1

0

82d83bbbc397d5fb8c89450eac58244503912c31

500

py

Python

DocOCR/urls.py

trangnm58/DocOCR

7ec6087323cf2d06906878c55be236fb1950ce57

[ "Apache-2.0" ]

null

DocOCR/urls.py

trangnm58/DocOCR

7ec6087323cf2d06906878c55be236fb1950ce57

[ "Apache-2.0" ]

null

DocOCR/urls.py

trangnm58/DocOCR

7ec6087323cf2d06906878c55be236fb1950ce57

[ "Apache-2.0" ]

null

from django.conf.urls import url, include urlpatterns = [ url(r'^api-auth/', include('rest_framework.urls', namespace='rest_framework')), url(r'^api/viet_ocr/', include('viet_ocr.api.urls', namespace="viet_ocr-api")), url(r'^api/post_process/', include('post_process.api.urls', namespace="post_process-api"...

45.454545

95

0.7

75

500

4.48

0.266667

0.059524

0.104167

0.089286

0.10119

0

0.092

500

10

96

50

0.740088

0

0.466

0.042

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

82d9c382128c028bc583ab744d986723b6f36dd9

839

py

Python

utils/neuron/models/metrics/multi_task_metrics.py

tsingqguo/ABA

c32edbbe5705b0332a08951b5ee436b5f58c2e70

[ "MIT" ]

12

2021-07-27T07:18:24.000Z

2022-03-09T13:52:20.000Z

utils/neuron/models/metrics/multi_task_metrics.py

tsingqguo/ABA

c32edbbe5705b0332a08951b5ee436b5f58c2e70

[ "MIT" ]

2

2021-08-03T09:21:33.000Z

2021-12-29T14:25:30.000Z

utils/neuron/models/metrics/multi_task_metrics.py

tsingqguo/ABA

c32edbbe5705b0332a08951b5ee436b5f58c2e70

[ "MIT" ]

3

2021-11-18T14:46:40.000Z

2022-01-03T15:47:23.000Z

import torch import torch.nn as nn import neuron.ops as ops from neuron.config import registry @registry.register_module class ReID_Metric(nn.Module): def __init__(self, metric_cls, metric_rank): super(ReID_Metric, self).__init__() self.metric_cls = metric_cls self.metric_rank = metr...

27.064516

62

0.582837

103

839

4.563107

0.456311

0.106383

0.082979

0.07234

0.097872

0

0.007117

0.330155

839

30

63

27.966667

0.829181

0

0.048868

0

1

0.086957

false

0

0.173913

0

0.347826

0

null

0

null

0

1

0

82da9d5e6799fe68c63757266b57886cf2eb5dae

3,198

py

Python

incremental-update.py

tarasowski/apache-spark

e42d6abe5fa08ff1e231d16169efaed0e01fc4a9

[ "MIT" ]

1

2019-08-13T09:17:19.000Z

incremental-update.py

tarasowski/apache-spark

e42d6abe5fa08ff1e231d16169efaed0e01fc4a9

[ "MIT" ]

null

incremental-update.py

tarasowski/apache-spark

e42d6abe5fa08ff1e231d16169efaed0e01fc4a9

[ "MIT" ]

null

from pyspark.sql import SparkSession from pyspark.sql.types import DateType from pyspark.sql.functions import col from pyspark.sql import types as t import sys from pyspark.sql.window import Window from pyspark.sql.functions import spark_partition_id from pyspark.sql import Row def show_partition_id(df): return d...

35.932584

139

0.596936

395

3,198

4.749367

0.417722

0.033582

0.052239

0.031983

0.183369

0.085288

0

0.058698

0.270169

3,198

88

140

36.340909

0.745073

0.20075

0

0.2

0

0.479167

0.042453

0

1

0.016667

false

0

0.133333

0.016667

0.166667

0.033333

0

null

0

null

0

1

0

82df65585957bc89145bf1319aef1409ff095c3a

3,281

py

Python

src/pywbemReq/tupletree.py

sinbawang/smisarray

698448c7661af1d1a4491e5aeb58825899aff710

[ "MIT" ]

2

2019-03-13T14:02:45.000Z

2020-02-21T02:20:47.000Z

src/pywbemReq/tupletree.py

Foglight/foglight-smis-storage-array-community-cartridge

64c070e6c62c5c8c2052af2b402103f78d72a330

[ "MIT" ]

1

2017-08-10T13:55:17.000Z

2017-09-28T19:56:15.000Z

src/pywbemReq/tupletree.py

Foglight/foglight-smis-storage-array-community-cartridge

64c070e6c62c5c8c2052af2b402103f78d72a330

[ "MIT" ]

null

# # (C) Copyright 2003,2004 Hewlett-Packard Development Company, L.P. # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later ...

32.81

73

0.719902

492

3,281

4.723577

0.436992

0.042599

0.036145

0.024527

0.043029

0.02926

0

0.007692

0.207559

3,281

99

74

33.141414

0.886154

0.610485

0

0.071429

0

0.061224

0

0.071429

1

0.071429

false

0

0.071429

0

0.25

0

null

0

null

0

1

0

82e04d672370030e6dd5e6577a1aa78e567b3a27

1,723

py

Python

src/Word.py

AlexandreLadriere/ColorfulWords

48219337946639306a6854ec3b5d8814ce86d609

[ "MIT" ]

null

src/Word.py

AlexandreLadriere/ColorfulWords

48219337946639306a6854ec3b5d8814ce86d609

[ "MIT" ]

null

src/Word.py

AlexandreLadriere/ColorfulWords

48219337946639306a6854ec3b5d8814ce86d609

[ "MIT" ]

null

#!/usr/bin/env python3* import unicodedata class Word: """ Object representation for a word Parameters ---------- text : str word text formatedText : str word text without accent, punctuation, etc (UTF-8) color : List of integers pixel color values in rgb for th...

31.907407

108

0.546721

190

1,723

4.915789

0.447368

0.022484

0.035332

0.044968

0.053533

0

0.021853

0.336042

1,723

54

109

31.907407

0.79458

0.329658

0

0.036327

0.026236

0

1

0.130435

false

0

0.043478

0

0.304348

0

null

0

null

0

1

0

82e0a5642e6f736fc7177658b00015f1cb62d455

2,605

py

Python

LeetCode/Python3/DynamicProgramming/123. Best Time to Buy and Sell Stock III.py

WatsonWangZh/CodingPractice

dc057dd6ea2fc2034e14fd73e07e73e6364be2ae

[ "MIT" ]

11

2019-09-01T22:36:00.000Z

2021-11-08T08:57:20.000Z

LeetCode/Python3/DynamicProgramming/123. Best Time to Buy and Sell Stock III.py

WatsonWangZh/LeetCodePractice

dc057dd6ea2fc2034e14fd73e07e73e6364be2ae

[ "MIT" ]

null

LeetCode/Python3/DynamicProgramming/123. Best Time to Buy and Sell Stock III.py

WatsonWangZh/LeetCodePractice

dc057dd6ea2fc2034e14fd73e07e73e6364be2ae

[ "MIT" ]

2

2020-05-27T14:58:52.000Z

2020-05-27T15:04:17.000Z

# Say you have an array for which the ith element is the price of a given stock on day i. # Design an algorithm to find the maximum profit. You may complete at most two transactions. # Note: You may not engage in multiple transactions at the same time # (i.e., you must sell the stock before you buy again). # Example ...

36.180556

98

0.558925

378

2,605

3.857143

0.333333

0.030864

0.027435

0.024691

0.116598

0.093278

0

0.057175

0.315163

2,605

71

99

36.690141

0.758969

0.721305

0

0.006192

0

1

0.1

false

0

0.3

0

null

0

null

0

1

0

82e393c148ab09bc52468154e5d5428989e2e585

5,232

py

Python

pw_build/py/pw_build/copy_from_cipd.py

Tiggerlaboratoriet/pigweed

7d7e7ad6223433f45af680f43ab4d75e23ad3257

[ "Apache-2.0" ]

1

2022-01-13T10:01:05.000Z

pw_build/py/pw_build/copy_from_cipd.py

Tiggerlaboratoriet/pigweed

7d7e7ad6223433f45af680f43ab4d75e23ad3257

[ "Apache-2.0" ]

null

pw_build/py/pw_build/copy_from_cipd.py

Tiggerlaboratoriet/pigweed

7d7e7ad6223433f45af680f43ab4d75e23ad3257

[ "Apache-2.0" ]

null

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

36.082759

80

0.634939

672

5,232

4.78869

0.31994

0.034183

0.031697

0.023617

0.070851

0.03294

0

0.004214

0.274274

5,232

144

81

36.333333

0.843297

0.318043

0

0.083333

0

0.208192

0.021469

0

0.006944

0

1

0.035714

false

0

0.107143

0

0.154762

0

null

0

null

0

1

0

82e3d3ee1d9875b1bc637e5da752761092db4c4c

1,248

py

Python

globomap_api/api/v2/parsers/queries.py

pedrokiefer/globomap-api

68e1e3a623cdb4df78327226eb5c665841d4823f

[ "Apache-2.0" ]

15

2017-08-04T17:09:52.000Z

2021-03-05T18:11:51.000Z

globomap_api/api/v2/parsers/queries.py

pedrokiefer/globomap-api

68e1e3a623cdb4df78327226eb5c665841d4823f

[ "Apache-2.0" ]

2

2017-09-03T23:39:35.000Z

2019-10-07T17:18:35.000Z

globomap_api/api/v2/parsers/queries.py

pedrokiefer/globomap-api

68e1e3a623cdb4df78327226eb5c665841d4823f

[ "Apache-2.0" ]

6

2017-08-09T13:32:38.000Z

2020-01-31T23:28:36.000Z

""" Copyright 2018 Globo.com 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 writ...

26

75

0.710737

168

1,248

5.172619

0.553571

0.069045

0.078251

0.101266

0.168009

0.071346

0

0.010902

0.191506

1,248

47

76

26.553191

0.850347

0.439904

0

0.366667

0

0.18003

0.07413

0

1

0

false

0

0.033333

0

0.033333

0

null

0

null

0

1

0

82e465ccd93333f53c7be0010a34ffe382b2a569

5,354

py

Python

auto_pull_request/parser.py

Ruth-Seven/Auto-git-request

bd058707c174138efed0ffd7109cf70b25796e64

[ "Apache-2.0" ]

2

2021-10-05T11:12:46.000Z

2021-10-05T11:12:56.000Z

auto_pull_request/parser.py

Ruth-Seven/Auto-git-request

bd058707c174138efed0ffd7109cf70b25796e64

[ "Apache-2.0" ]

null

auto_pull_request/parser.py

Ruth-Seven/Auto-git-request

bd058707c174138efed0ffd7109cf70b25796e64

[ "Apache-2.0" ]

null

# -*- encoding: utf-8 -*- # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, sof...

49.119266

293

0.710497

797

5,354

4.712673

0.283563

0.061502

0.028754

0.025559

0.329073

0.274494

0.213791

0.187167

0

0.001131

0.174075

5,354

109

294

49.119266

0.847806

0.107396

0

0.079545

0

0.147727

0.583036

0.032962

0

1

0.034091

false

0

0.068182

0

0.102273

0

null

0

null

0

1

0

82e67a1fd499cdf5d94a3a3ff757c622620968ef

2,669

py

Python

src/users.py

dtekcth/tvmannen

47d9441ee4000dc3600ae1a28580ba95a5b46a2a

[ "MIT" ]

null

src/users.py

dtekcth/tvmannen

47d9441ee4000dc3600ae1a28580ba95a5b46a2a

[ "MIT" ]

null

src/users.py

dtekcth/tvmannen

47d9441ee4000dc3600ae1a28580ba95a5b46a2a

[ "MIT" ]

1

2019-12-25T21:49:16.000Z

# Blueprint for user management in /admin/users and /admin/users/delete from tv import login_manager, db from flask_login import LoginManager, current_user, login_user, logout_user, login_required from flask import Blueprint, flash, redirect, render_template, request from data import User from forms import Registratio...

32.156627

91

0.683402

363

2,669

4.92562

0.250689

0.067114

0.085011

0.080537

0.426734

0.378076

0.247204

0

0.18846

2,669

82

92

32.54878

0.825485

0.100787

0

0.571429

0

0.197742

0

1

0.047619

false

0.031746

0.079365

0

0.285714

0.047619

0

null

0

null

0

1

0

7d54215d7a89cdc6dee240942d655951555aa1e4

628

py

Python

gubbins/tests/utils_tests.py

doismellburning/django-gubbins

d94e91082adfe2ae7462209a5793b479429d40d9

[ "BSD-2-Clause" ]

null

gubbins/tests/utils_tests.py

doismellburning/django-gubbins

d94e91082adfe2ae7462209a5793b479429d40d9

[ "BSD-2-Clause" ]

4

2018-12-20T13:02:40.000Z

2018-12-21T16:09:20.000Z

gubbins/tests/utils_tests.py

doismellburning/django-gubbins

d94e91082adfe2ae7462209a5793b479429d40d9

[ "BSD-2-Clause" ]

2

2015-01-05T10:13:42.000Z

2020-05-29T08:17:58.000Z

import unittest from gubbins.utils import append_params class UtilsTest(unittest.TestCase): def test_append_params(self): url = 'http://www.fish.com/dir/page.html' url = append_params(url, {'a': 1, 'b': 'a i'}) expected = 'http://www.fish.com/dir/page.html?a=1&b=a+i' self.asse...

31.4

65

0.603503

90

628

4.111111

0.344444

0.162162

0.118919

0.151351

0.389189

0.364865

0

0.020964

0.240446

628

20

66

31.4

0.754717

0

0.153846

0

0.153846

0.259141

0

0.153846

1

0.153846

false

0

0.153846

0

0.384615

0

null

0

null

0

1

0

7d565d78426b6ee97241efc8582c656e0fcdebc5

4,118

py

Python

custom_components/waste_collection_schedule/waste_collection_schedule/wizard/stadtreinigung_hamburg.py

UBS-P/hacs_waste_collection_schedule

9ce0fd55010bbab3948f1ee0aa5edb4b65b7d866

[ "MIT" ]

142

2020-04-13T18:56:12.000Z

2022-03-30T19:44:08.000Z

custom_components/waste_collection_schedule/waste_collection_schedule/wizard/stadtreinigung_hamburg.py

UBS-P/hacs_waste_collection_schedule

9ce0fd55010bbab3948f1ee0aa5edb4b65b7d866

[ "MIT" ]

138

2020-04-30T18:11:30.000Z

2022-03-30T20:56:33.000Z

custom_components/waste_collection_schedule/waste_collection_schedule/wizard/stadtreinigung_hamburg.py

UBS-P/hacs_waste_collection_schedule

9ce0fd55010bbab3948f1ee0aa5edb4b65b7d866

[ "MIT" ]

89

2020-06-16T05:13:08.000Z

2022-03-28T09:28:25.000Z

#!/usr/bin/env python3 from html.parser import HTMLParser import inquirer import requests # Parser for HTML input class InputParser(HTMLParser): def __init__(self, input_name): super().__init__() self._input_name = input_name self._value = None @property def value(self): ...

29.205674

93

0.573579

444

4,118

5.099099

0.234234

0.04417

0.035336

0.018551

0.330389

0.207597

0.194788

0.185512

0.155477

0

0.005682

0.316173

4,118

140

94

29.414286

0.798295

0.06678

0

0.349057

0

0.153886

0.024517

0

1

0.084906

false

0

0.028302

0.018868

0.150943

0.075472

0

null

0

null

0

1

0

7d56702dbd9fe5b8f3529654e0855fa2b7b8f074

1,480

py

Python

pythonstudy/convert.py

flyonskycn/pythonstudy

c2eabe40ed369046c80ba9882b2212feb34cdad6

[ "Apache-2.0" ]

null

pythonstudy/convert.py

flyonskycn/pythonstudy

c2eabe40ed369046c80ba9882b2212feb34cdad6

[ "Apache-2.0" ]

null

pythonstudy/convert.py

flyonskycn/pythonstudy

c2eabe40ed369046c80ba9882b2212feb34cdad6

[ "Apache-2.0" ]

null

import chardet import sys import codecs import os def findEncoding(s): file = open(s, mode='rb') buf = file.read() result = chardet.detect(buf) file.close() return result['encoding'] def convertEncoding(s): if os.access(s,os.W_OK): encoding = findEncoding(s) ...

23.492063

84

0.531081

179

1,480

4.340782

0.424581

0.019305

0.036036

0.03861

0

0.006135

0.339189

1,480

63

85

23.492063

0.788344

0.012838

0

0.06383

0

0.114165

0

1

0.085106

false

0

0.085106

0

0.212766

0.085106

0

null

0

null

0

1

0

7d58040a8760df0e7d462d968892a9628d5e39f3

8,960

py

Python

corrector_module/opmon_corrector/corrector_worker.py

nordic-institute/X-Road-Metrics

249d859466bf6065257cf8b3c27d0e9db4ab2378

[ "MIT" ]

2

2021-06-30T11:12:31.000Z

2021-09-24T08:50:03.000Z

corrector_module/opmon_corrector/corrector_worker.py

nordic-institute/X-Road-Metrics

249d859466bf6065257cf8b3c27d0e9db4ab2378

[ "MIT" ]

null

corrector_module/opmon_corrector/corrector_worker.py

nordic-institute/X-Road-Metrics

249d859466bf6065257cf8b3c27d0e9db4ab2378

[ "MIT" ]

2

2021-07-02T12:31:37.000Z

2021-11-09T08:44:09.000Z

# The MIT License # Copyright (c) 2021- Nordic Institute for Interoperability Solutions (NIIS) # Copyright (c) 2017-2020 Estonian Information System Authority (RIA) # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software...

48.172043

136

0.60904

962

8,960

5.440748

0.256757

0.114635

0.014712

0.026748

0.367023

0.345243

0.282384

0.257547

0.250478

0

0.005683

0.312612

8,960

185

137

48.432432

0.844131

0.244196

0

0.313131

0

0.118772

0.004026

0

1

0.030303

false

0.010101

0.020202

0

0.070707

0

null

0

null

0

1

0

7d589dd1f59c435f5b8daa7514686b5a0b85423d

4,451

py

Python

battlecode-manager/player_plain.py

gruzzlymug/ddg-2018

76f598f7548ad51b126ec9efb7da0fd0d4a306c2

[ "MIT" ]

1

2018-02-11T03:32:22.000Z

battlecode-manager/player_plain.py

gruzzlymug/ddg-2018

76f598f7548ad51b126ec9efb7da0fd0d4a306c2

[ "MIT" ]

null

battlecode-manager/player_plain.py

gruzzlymug/ddg-2018

76f598f7548ad51b126ec9efb7da0fd0d4a306c2

[ "MIT" ]

null

import os import psutil import subprocess import threading import sys from threading import Timer import select from player_abstract import AbstractPlayer class PlainPlayer(AbstractPlayer): def __init__(self, socket_file, working_dir, local_dir=None, player_key="", player_mem_limit=256, player_c...

32.253623

119

0.599191

548

4,451

4.768248

0.354015

0.046307

0.011481

0.020666

0.27057

0.182166

0.15155

0.075775

0.037505

0

0.004861

0.306673

4,451

137

120

32.489051

0.841866

0.17951

0

0.366337

0

0.06839

0

0.009901

1

0.108911

false

0.049505

0.079208

0

0.207921

0.029703

0

null

0

null

0

1

0

7d5919e7ea877027b781af2973db1c3cf8b3e549

4,726

py

Python

jassen/django/project/blog/views.py

cabilangan112/intern-drf-blog

b2d6c7a4af1316b2c7ce38547bd9df99b4f3e8b9

[ "MIT" ]

null

jassen/django/project/blog/views.py

cabilangan112/intern-drf-blog

b2d6c7a4af1316b2c7ce38547bd9df99b4f3e8b9

[ "MIT" ]

null

jassen/django/project/blog/views.py

cabilangan112/intern-drf-blog

b2d6c7a4af1316b2c7ce38547bd9df99b4f3e8b9

[ "MIT" ]

null

from django.shortcuts import render from django.contrib.auth.models import User, Group from rest_framework import viewsets from django.shortcuts import get_object_or_404 from rest_framework.response import Response from rest_framework import viewsets, status from .models import Post,Comment,Category,Tag from .serialize...

34.75

90

0.658697

506

4,726

6.059289

0.16996

0.082192

0.125245

0.109589

0.686236

0.652968

0.621657

0.456295

0.399217

0

0.007559

0.244181

4,726

135

91

35.007407

0.850784

0

0.509434

0

0.0163

0

1

0.141509

false

0

0.075472

0

0.45283

0

null

0

null

0

1

0

7d5a512e475a15e2cba00eeed5fa7df50d174682

15,479

py

Python

loopchain/rest_server/rest_server_rs.py

ahastudio/loopchain

88b76956c069fedc1a0a2d239f47c3866493ad0f

[ "Apache-2.0" ]

null

loopchain/rest_server/rest_server_rs.py

ahastudio/loopchain

88b76956c069fedc1a0a2d239f47c3866493ad0f

[ "Apache-2.0" ]

null

loopchain/rest_server/rest_server_rs.py

ahastudio/loopchain

88b76956c069fedc1a0a2d239f47c3866493ad0f

[ "Apache-2.0" ]

null

# Copyright 2018 ICON Foundation # # 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 writi...

38.600998

122

0.640481

1,833

15,479

5.034915

0.156574

0.023404

0.022754

0.027414

0.455954

0.421281

0.343374

0.280745

0.254632

0.203814

0

0.003537

0.269333

15,479

400

123

38.6975

0.812467

0.054202

0

0.294314

0

0.003344

0.090853

0.015256

0

1

0.06689

false

0.003344

0.063545

0.033445

0.264214

0

null

0

null

0

1

0

7d5ba93142fb8ff5765303ca6b3001d2cd9dccdf

10,178

py

Python

ceilometer/tests/storage/test_impl_sqlalchemy.py

aristanetworks/ceilometer

8776b137f82f71eef1241bcb1600de10c1f77394

[ "Apache-2.0" ]

null

ceilometer/tests/storage/test_impl_sqlalchemy.py

aristanetworks/ceilometer

8776b137f82f71eef1241bcb1600de10c1f77394

[ "Apache-2.0" ]

null

ceilometer/tests/storage/test_impl_sqlalchemy.py

aristanetworks/ceilometer

8776b137f82f71eef1241bcb1600de10c1f77394

[ "Apache-2.0" ]

null

# # Author: John Tran <jhtran@att.com> # Julien Danjou <julien@danjou.info> # # 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 # # Unl...

40.070866

78

0.610434

1,173

10,178

5.092924

0.219096

0.052728

0.042183

0.044192

0.459659

0.43388

0.406428

0.366923

0.290593

0.267158

0

0.013247

0.287974

10,178

253

79

40.229249

0.811094

0.127726

0

0.335165

0

0.054607

0

0.296703

1

0.093407

false

0.005495

0.06044

0

0.192308

0

null

0

null

0

1

0

7d5e7f22dbe1241e9828565a5008c4bed0402c69

17,906

py

Python

ProjectManager.py

kojingharang/ManagerKit

6efb9b2290b62e0bd3fe88eb3dc814d066f72f02

[ "MIT" ]

null

ProjectManager.py

kojingharang/ManagerKit

6efb9b2290b62e0bd3fe88eb3dc814d066f72f02

[ "MIT" ]

null

ProjectManager.py

kojingharang/ManagerKit

6efb9b2290b62e0bd3fe88eb3dc814d066f72f02

[ "MIT" ]

null

from collections import namedtuple import datetime import pprint import sys import copy import json def expandStatusValue(v): """ v : string | (string, datetime.date | None) が string だった場合 (string, None) に展開する. """ if isinstance(v, str): v = (v, None) return v def formatDate(d): if not d: return "????-??-?...

24.629986

135

0.627667

2,515

17,906

4.452485

0.171769

0.018753

0.005358

0.009645

0.203965

0.145472

0.110288

0.095106

0.069566

0.05501

0

0.018888

0.175081

17,906

726

136

24.663912

0.739151

0.070814

0

0.19774

0

0.016949

0.321281

0.085457

0

0.001377

0

1

0.047081

false

0

0.011299

0.112994

0.028249

0

null

0

null

0

1

0

7d60c0b18a3d86b57134273bbd22d9fd56431efb

18,643

py

Python

asteroids/whatsobservable.py

mcnowinski/various-and-sundry

ec0038d52f43435a45bf4fd1975315ad08fce560

[ "MIT" ]

2

2016-09-29T09:24:22.000Z

2021-01-15T06:11:04.000Z

asteroids/whatsobservable.py

mcnowinski/various-and-sundry

ec0038d52f43435a45bf4fd1975315ad08fce560

[ "MIT" ]

null

asteroids/whatsobservable.py

mcnowinski/various-and-sundry

ec0038d52f43435a45bf4fd1975315ad08fce560

[ "MIT" ]

null

import datetime import ephem import os.path import os import numpy as np import pdb from pandas import DataFrame __version__ = '0.1.2' class Error(Exception): pass def _convert_datetime_to_pyephem_date_string(in_datetime): return in_datetime.strftime('%Y/%m/%d %H:%M:%S') def _find_cached_file(filename):...

53.418338

250

0.565145

2,462

18,643

4.196994

0.224208

0.01742

0.027872

0.02613

0.467628

0.409078

0.358076

0.344914

0.302719

0.280074

0

0.077702

0.34281

18,643

348

251

53.571839

0.765671

0.540149

0

0.112426

0

0.096575

0

0.008621

0

1

0.04142

false

0.005917

0.04142

0.005917

0.147929

0

null

0

null

0

1

0

7d6278af283b8d74f950804bc1e7d3a988413e1b

7,573

py

Python

pcdet/models/backbones_3d/vfe/pillar_vfe.py

KPeng9510/OpenPCDet

4bebf2f45a3193afb1ffe4f7ee1913afc0632e62

[ "Apache-2.0" ]

1

2021-02-18T19:46:44.000Z

pcdet/models/backbones_3d/vfe/pillar_vfe.py

KPeng9510/OpenPCDet

4bebf2f45a3193afb1ffe4f7ee1913afc0632e62

[ "Apache-2.0" ]

null

pcdet/models/backbones_3d/vfe/pillar_vfe.py

KPeng9510/OpenPCDet

4bebf2f45a3193afb1ffe4f7ee1913afc0632e62

[ "Apache-2.0" ]

1

2022-01-23T13:37:49.000Z

import torch from torch_geometric.nn import FeaStConv from knn_cuda import KNN from torch_cluster import fps #from ....ops.roiaware_pool3d import roiaware_pool3d_utils import torch.nn as nn import torch.nn.functional as F from .vfe_template import VFETemplate import sys from lppproj import LocalityPreservingProjectio...

44.810651

193

0.629737

1,051

7,573

4.261656

0.153187

0.072561

0.03215

0.026792

0.212547

0.18397

0.139317

0.102702

0

0.021135

0.244025

7,573

168

194

45.077381

0.761223

0.076984

0

0.046154

0

0.013054

0

0.007692

1

0.046154

false

0

0.069231

0.007692

0.169231

0

null

0

null

0

1

0

7d69ee0ea7680377c19eec8ca94d5abf487ee54e

1,227

py

Python

python/example.py

msmerlak/aa

09ffdf7df582be9c83c7c9bfd873c55fddb65109

[ "MIT" ]

null

python/example.py

msmerlak/aa

09ffdf7df582be9c83c7c9bfd873c55fddb65109

[ "MIT" ]

null

python/example.py

msmerlak/aa

09ffdf7df582be9c83c7c9bfd873c55fddb65109

[ "MIT" ]

null

# min (1/2) x'Q'x - q'x from __future__ import print_function import numpy as np import aa dim = 1000 mems = [5, 10, 20, 50, 100] N = int(1e4) np.random.seed(1234) Q = np.random.randn(dim,dim) Q = Q.T.dot(Q) q = np.random.randn(dim) x_0 = np.random.randn(dim) x_star = np.linalg.solve(Q, q) step = 0.0005 def f(x):...

22.309091

61

0.544417

238

1,227

2.701681

0.252101

0.024883

0.037325

0.07465

0.583204

0.502333

0

0.058114

0.256724

1,227

54

62

22.722222

0.64693

0.017115

0

0.465116

0

0.092193

0

1

0.023256

false

0

0.069767

0.023256

0.116279

0.186047

0

null

0

null

0

1

0

7d6a2293f4de2609456441f4d1fef57b68982b63

2,193

py

Python

MuonAnalysis/MuonAssociators/test/L1MuonMatcher/test.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

MuonAnalysis/MuonAssociators/test/L1MuonMatcher/test.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

MuonAnalysis/MuonAssociators/test/L1MuonMatcher/test.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms process = cms.Process("PAT") # initialize MessageLogger and output report process.load("FWCore.MessageLogger.MessageLogger_cfi") process.MessageLogger.cerr.threshold = 'INFO' process.MessageLogger.cerr.INFO = cms.untracked.PSet( default = cms.untracked.PSet( limit...

37.810345

125

0.75285

266

2,193

6.105263

0.43609

0.073892

0.049261

0.036946

0.192118

0.150246

0.103448

0

0.060807

0.107615

2,193

57

126

38.473684

0.769034

0.186047

0

0.085714

0.391058

0.340125

0

1

0

false

0

0.028571

0

0.028571

0

null

0

null

0

1

0

7d6ad190979d6481b1c2985d3daa77d4ce6fbfd1

5,689

py

Python

src/paper_1/curriculum/main.py

ludwigflo/paper1

13202febdb01a76bbf115435ce9676f6b82e1393

[ "MIT" ]

null

src/paper_1/curriculum/main.py

ludwigflo/paper1

13202febdb01a76bbf115435ce9676f6b82e1393

[ "MIT" ]

null

src/paper_1/curriculum/main.py

ludwigflo/paper1

13202febdb01a76bbf115435ce9676f6b82e1393

[ "MIT" ]

null

from paper_1.data.data_loader import load_val_data, load_train_data, sequential_data_loader, random_data_loader from paper_1.utils import read_parameter_file, create_experiment_directory from paper_1.evaluation.eval_utils import init_metrics_object from paper_1.baseline.main import train as baseline_train from paper_1....

40.347518

123

0.731763

791

5,689

4.922882

0.204804

0.032357

0.01284

0.024653

0.129687

0.049307

0.03698

0.022599

0

0.003465

0.188434

5,689

140

124

40.635714

0.839939

0.135173

0

0.045455

0

0.088199

0.02205

0

1

0.011364

false

0

0.159091

0

0.170455

0

null

0

null

0

1

0

7d6b4c15322d55cd0ce898e730c14103fb38d94b

6,793

py

Python

sfc/tests/functest/sfc_symmetric_chain.py

pkaralis/sfc

b2572f3e4e96ef82fbfd5b6233933f1eac5cb166

[ "Apache-2.0" ]

null

sfc/tests/functest/sfc_symmetric_chain.py

pkaralis/sfc

b2572f3e4e96ef82fbfd5b6233933f1eac5cb166

[ "Apache-2.0" ]

null

sfc/tests/functest/sfc_symmetric_chain.py

pkaralis/sfc

b2572f3e4e96ef82fbfd5b6233933f1eac5cb166

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright (c) 2017 Ericsson AB and others. All rights reserved # # This program and the accompanying materials # are made available under the terms of the Apache License, Version 2.0 # which accompanies this distribution, and is available at # # http://www.apache.org/licenses/LICENSE-2.0 # imp...

35.196891

79

0.6227

810

6,793

4.911111

0.269136

0.024887

0.030417

0.033183

0.309703

0.284062

0.264455

0.247863

0.236048

0

0.010703

0.298543

6,793

192

80

35.380208

0.824134

0.1425

0

0.28125

0

0.079496

0.006654

0

1

0.023438

false

0.007813

0.070313

0

0.125

0

null

0

null

0

1

0

7d6ecad90431713565bfe9a36d5edf9284440624

1,827

py

Python

site-packages/offshoot/main.py

nanpuhaha/SerpentAI

6af1105fc0a970227a0d7c11e6a0da1bd0bacec6

[ "MIT" ]

42

2017-01-23T22:36:03.000Z

2021-11-14T21:22:17.000Z

site-packages/offshoot/main.py

nanpuhaha/SerpentAI

6af1105fc0a970227a0d7c11e6a0da1bd0bacec6

[ "MIT" ]

6

2021-09-26T21:18:30.000Z

2022-02-01T01:26:18.000Z

site-packages/offshoot/main.py

nanpuhaha/SerpentAI

6af1105fc0a970227a0d7c11e6a0da1bd0bacec6

[ "MIT" ]

6

2017-04-14T13:07:27.000Z

2020-06-17T06:24:18.000Z

#!/usr/bin/env python import sys import os import subprocess import offshoot valid_commands = ["init", "install", "uninstall"] def execute(): if len(sys.argv) == 2: command = sys.argv[1] if command not in valid_commands: raise Exception("'%s' is not a valid Offshoot command." % com...

27.681818

103

0.636015

223

1,827

5.071749

0.278027

0.037135

0.04244

0.019452

0.62069

0.534041

0

0.006169

0.201423

1,827

65

104

28.107692

0.76902

0.010947

0

0.25

0

0.209856

0

1

0.1

false

0

0.125

0

0.225

0.1

0

null

0

null

0

1

0