xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

9a417a0a839c157704c0bb9c7d9a86e16b358f3e

22,087

py

Python

pdb_profiling/processors/uniprot/api.py

NatureGeorge/pdb-profiling

b29f93f90fccf03869a7a294932f61d8e0b3470c

[ "MIT" ]

5

2020-10-27T12:02:00.000Z

2021-11-05T06:51:59.000Z

pdb_profiling/processors/uniprot/api.py

NatureGeorge/pdb-profiling

b29f93f90fccf03869a7a294932f61d8e0b3470c

[ "MIT" ]

9

2021-01-07T04:47:58.000Z

2021-09-22T13:20:35.000Z

pdb_profiling/processors/uniprot/api.py

NatureGeorge/pdb-profiling

b29f93f90fccf03869a7a294932f61d8e0b3470c

[ "MIT" ]

null

# @Created Date: 2019-12-08 06:46:49 pm # @Filename: api.py # @Email: 1730416009@stu.suda.edu.cn # @Author: ZeFeng Zhu # @Last Modified: 2020-02-16 10:54:32 am # @Copyright (c) 2020 MinghuiGroup, Soochow University from typing import Iterable, Iterator, Optional, Union, Generator, Dict, List from time import perf_coun...

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null

0

null

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0

9a41e415317ae7c881f36ab4cbf51cbe613df940

9,409

py

Python

hep_spt/stats/poisson.py

mramospe/hepspt

11f74978a582ebc20e0a7765dafc78f0d1f1d5d5

[ "MIT" ]

null

hep_spt/stats/poisson.py

mramospe/hepspt

11f74978a582ebc20e0a7765dafc78f0d1f1d5d5

[ "MIT" ]

null

hep_spt/stats/poisson.py

mramospe/hepspt

11f74978a582ebc20e0a7765dafc78f0d1f1d5d5

[ "MIT" ]

1

2021-11-03T03:36:15.000Z

''' Function and classes representing statistical tools. ''' __author__ = ['Miguel Ramos Pernas'] __email__ = ['miguel.ramos.pernas@cern.ch'] from hep_spt.stats.core import chi2_one_dof, one_sigma from hep_spt.core import decorate, taking_ndarray from hep_spt import PACKAGE_PATH import numpy as np import os from scip...

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null

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null

0

1

0

9a47729e5dc9d9a2649d73a1b1f6d29309683f2b

7,871

py

Python

augmentation.py

Harlequln/C1M18X-Behavioural_Cloning

0c49ad2432b2694848a7b83fddeea04c3306aa80

[ "MIT" ]

null

augmentation.py

Harlequln/C1M18X-Behavioural_Cloning

0c49ad2432b2694848a7b83fddeea04c3306aa80

[ "MIT" ]

null

augmentation.py

Harlequln/C1M18X-Behavioural_Cloning

0c49ad2432b2694848a7b83fddeea04c3306aa80

[ "MIT" ]

null

import cv2 import numpy as np import matplotlib.image as mpimg from pathlib import Path from model import * CAMERA_STEERING_CORRECTION = 0.2 def image_path(sample, camera="center"): """ Transform the sample path to the repository structure. Args: sample: a sample (row) of the data d...

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null

0

null

0

1

0

9a483acc0e1727f56a550dc2b790cfba50c01c45

4,848

py

Python

test_zeroshot.py

airbert-vln/airbert

a4f667db9fb4021094c738dd8d23739aee3785a5

[ "MIT" ]

17

2021-07-30T14:08:24.000Z

2022-03-30T13:57:02.000Z

test_zeroshot.py

airbert-vln/airbert

a4f667db9fb4021094c738dd8d23739aee3785a5

[ "MIT" ]

4

2021-09-09T03:02:18.000Z

2022-03-24T13:55:55.000Z

test_zeroshot.py

airbert-vln/airbert

a4f667db9fb4021094c738dd8d23739aee3785a5

[ "MIT" ]

2

2021-08-30T11:51:16.000Z

2021-09-03T09:18:50.000Z

import json import logging from typing import List import os import sys import numpy as np import torch from torch.utils.data import DataLoader from tqdm import tqdm from transformers import AutoTokenizer, BertTokenizer from vilbert.vilbert import BertConfig from utils.cli import get_parser from utils.dataset.commo...

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0

null

0

null

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0

9a49459be97466ed19cf1a661276df8eb41c082e

3,184

py

Python

refp.py

jon2718/ipycool_2.0

34cf74ee99f4a725b997c50a7742ba788ac2dacd

[ "MIT" ]

null

refp.py

jon2718/ipycool_2.0

34cf74ee99f4a725b997c50a7742ba788ac2dacd

[ "MIT" ]

null

refp.py

jon2718/ipycool_2.0

34cf74ee99f4a725b997c50a7742ba788ac2dacd

[ "MIT" ]

null

from modeledcommandparameter import * from pseudoregion import * class Refp(ModeledCommandParameter, PseudoRegion): """ Reference particle """ begtag = 'REFP' endtag = '' models = { 'model_descriptor': {'desc': 'Phase model', 'name': 'phmodref', ...

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1

0

9a4a243b2c4f9a84354c254f16486d8c603e8178

10,620

py

Python

utils/dataloaders.py

sinahmr/parted-vae

261f0654de605c6a260784e47e9a17a737a1a985

[ "MIT" ]

5

2021-06-26T07:45:50.000Z

2022-03-31T11:41:29.000Z

utils/dataloaders.py

sinahmr/parted-vae

261f0654de605c6a260784e47e9a17a737a1a985

[ "MIT" ]

null

utils/dataloaders.py

sinahmr/parted-vae

261f0654de605c6a260784e47e9a17a737a1a985

[ "MIT" ]

1

2021-11-26T09:14:03.000Z

import numpy as np import torch from torch.nn import functional as F from torch.utils.data import Dataset, DataLoader from torchvision import datasets, transforms from torchvision.utils import save_image from utils.fast_tensor_dataloader import FastTensorDataLoader def get_mnist_dataloaders(batch_size=128, path_to_d...

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null

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1

0

9a4a26f9a634d7ab72a8a79970898804d2a1b1c4

1,780

py

Python

posts.py

girish97115/anonymail

f2eb741464ce7b780e4de6de6043c6eed1e13b9a

[ "MIT" ]

null

posts.py

girish97115/anonymail

f2eb741464ce7b780e4de6de6043c6eed1e13b9a

[ "MIT" ]

null

posts.py

girish97115/anonymail

f2eb741464ce7b780e4de6de6043c6eed1e13b9a

[ "MIT" ]

null

from flask import ( Blueprint,session, flash, g, redirect, render_template, request, url_for ) from werkzeug.exceptions import abort from anonymail.auth import login_required from anonymail.db import get_db import datetime now = datetime.datetime.now() current_year = now.year bp = Blueprint('posts', __name__) @b...

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0.036364

0

null

0

null

0

1

0

9a4bcff10fc3fa7d7e56bb3812a166c957678a62

2,579

py

Python

src/subroutines/array_subroutine.py

cyrilico/aoco-code-correction

3a780df31eea6caaa37213f6347fb71565ce11e8

[ "MIT" ]

4

2020-08-30T08:56:57.000Z

2020-08-31T21:32:03.000Z

src/subroutines/array_subroutine.py

cyrilico/aoco-code-correction

3a780df31eea6caaa37213f6347fb71565ce11e8

[ "MIT" ]

null

src/subroutines/array_subroutine.py

cyrilico/aoco-code-correction

3a780df31eea6caaa37213f6347fb71565ce11e8

[ "MIT" ]

1

2020-10-01T22:15:33.000Z

from .subroutine import subroutine from parameters.string_parameter import string_parameter as String from parameters.numeric_parameter import numeric_parameter as Numeric from parameters.array_parameter import array_parameter as Array from ast import literal_eval class array_subroutine(subroutine): """Subroutine...

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0

null

0

null

0

1

0

9a4cab617527bcae29b76af4b2c39e67572e4127

1,164

py

Python

auth.py

nivw/onna_test

518c726a656493a5efd7ed6f548f68b2f5350260

[ "BSD-2-Clause" ]

null

auth.py

nivw/onna_test

518c726a656493a5efd7ed6f548f68b2f5350260

[ "BSD-2-Clause" ]

null

auth.py

nivw/onna_test

518c726a656493a5efd7ed6f548f68b2f5350260

[ "BSD-2-Clause" ]

1

2020-06-24T16:52:59.000Z

import requests import json from config import config from logbook import Logger, StreamHandler import sys StreamHandler(sys.stdout).push_application() log = Logger('auth') class Auth(object): def __init__(self): self.config = config self.auth_code = self.token =None def get_auth_code(self):...

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null

0

1

0

9a51a2dfb9ee0eb5c3e19b169561bb01b5b7ae90

4,063

py

Python

application/api/generate_label.py

Florian-Barthel/stylegan2

4ef87038bf9370596cf2b729e1d1a1bc3ebcddd8

[ "BSD-Source-Code" ]

null

application/api/generate_label.py

Florian-Barthel/stylegan2

4ef87038bf9370596cf2b729e1d1a1bc3ebcddd8

[ "BSD-Source-Code" ]

null

application/api/generate_label.py

Florian-Barthel/stylegan2

4ef87038bf9370596cf2b729e1d1a1bc3ebcddd8

[ "BSD-Source-Code" ]

null

import numpy as np import dnnlib.tflib as tflib from training import dataset tflib.init_tf() class LabelGenerator: def __init__(self, tfrecord_dir: str = None): if tfrecord_dir: self.training_set = dataset.TFRecordDataset(tfrecord_dir, shuffle_mb=0) self.labels_available = True ...

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null

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1

0

9a51f5406e8b8b4afa3d8bc309049e92a8011b92

3,333

py

Python

tests/test_urls.py

LaudateCorpus1/apostello

1ace89d0d9e1f7a1760f6247d90a60a9787a4f12

[ "MIT" ]

69

2015-10-03T20:27:53.000Z

2021-04-06T05:26:18.000Z

tests/test_urls.py

LaudateCorpus1/apostello

1ace89d0d9e1f7a1760f6247d90a60a9787a4f12

[ "MIT" ]

73

2015-10-03T17:53:47.000Z

2020-10-01T03:08:01.000Z

tests/test_urls.py

LaudateCorpus1/apostello

1ace89d0d9e1f7a1760f6247d90a60a9787a4f12

[ "MIT" ]

29

2015-10-23T22:00:13.000Z

2021-11-30T04:48:06.000Z

from collections import namedtuple import pytest from rest_framework.authtoken.models import Token from tests.conftest import twilio_vcr from apostello import models StatusCode = namedtuple("StatusCode", "anon, user, staff") @pytest.mark.slow @pytest.mark.parametrize( "url,status_code", [ ("/", Sta...

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0

null

0

null

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1

0

9a52f446636c4417f93211b5960e9ec09c902310

2,491

py

Python

guestbook/main.py

bradmontgomery/mempy-flask-tutorial

8113562460cfa837e7b26df29998e0b6950dd46f

[ "MIT" ]

1

2018-01-10T17:54:18.000Z

guestbook/main.py

bradmontgomery/mempy-flask-tutorial

8113562460cfa837e7b26df29998e0b6950dd46f

[ "MIT" ]

null

guestbook/main.py

bradmontgomery/mempy-flask-tutorial

8113562460cfa837e7b26df29998e0b6950dd46f

[ "MIT" ]

null

29.654762

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0.294118

0

null

0

null

0

1

0

9a555159031db4d7f16f4b7224046ffb7dcc0810

25,673

py

Python

lingvodoc/scripts/lingvodoc_converter.py

SegFaulti4/lingvodoc

8b296b43453a46b814d3cd381f94382ebcb9c6a6

[ "Apache-2.0" ]

5

2017-03-30T18:02:11.000Z

2021-07-20T16:02:34.000Z

lingvodoc/scripts/lingvodoc_converter.py

SegFaulti4/lingvodoc

8b296b43453a46b814d3cd381f94382ebcb9c6a6

[ "Apache-2.0" ]

15

2016-02-24T13:16:59.000Z

2021-09-03T11:47:15.000Z

lingvodoc/scripts/lingvodoc_converter.py

Winking-maniac/lingvodoc

f037bf0e91ccdf020469037220a43e63849aa24a

[ "Apache-2.0" ]

22

2015-09-25T07:13:40.000Z

2021-08-04T18:08:26.000Z

import sqlite3 import base64 import requests import json import hashlib import logging from lingvodoc.queue.client import QueueClient def get_dict_attributes(sqconn): dict_trav = sqconn.cursor() dict_trav.execute("""SELECT dict_name, dict_identificator, ...

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null

0

null

0

1

0

9a56a9cb8a9973d77c62dc8bff13ecc6a5a858c1

1,550

py

Python

tests/test_all.py

euranova/DAEMA

29fec157c34afcc9abe95bc602a3012615b3c36b

[ "MIT" ]

6

2021-09-17T02:09:29.000Z

2022-03-20T04:15:15.000Z

tests/test_all.py

Jason-Xu-Ncepu/DAEMA

29fec157c34afcc9abe95bc602a3012615b3c36b

[ "MIT" ]

null

tests/test_all.py

Jason-Xu-Ncepu/DAEMA

29fec157c34afcc9abe95bc602a3012615b3c36b

[ "MIT" ]

4

2021-06-29T22:57:18.000Z

2022-03-09T09:19:17.000Z

""" Tests the code. """ from torch.utils.data import DataLoader from models import MODELS from pipeline import argument_parser from pipeline.datasets import DATASETS, get_dataset from run import main def test_datasets(): """ Tests all the datasets defined in pipeline.datasets.DATASETS. """ for ds_name in DA...

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null

0

null

0

1

0

9a586ac04d9d83458edb9f23d9cb90fb787462de

2,185

py

Python

src/preprocessing.py

Wisteria30/GIM-RL

085ba3b8c10590f82226cd1675ba96c5f90740f3

[ "Apache-2.0" ]

3

2021-10-15T00:57:05.000Z

2021-12-16T13:00:05.000Z

src/preprocessing.py

Wisteria30/GIM-RL

085ba3b8c10590f82226cd1675ba96c5f90740f3

[ "Apache-2.0" ]

null

src/preprocessing.py

Wisteria30/GIM-RL

085ba3b8c10590f82226cd1675ba96c5f90740f3

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import numpy as np import random import os import sys import torch from src.agent import ( EpsilonGreedyAgent, MaxAgent, RandomAgent, RandomCreateBVAgent, ProbabilityAgent, QAgent, QAndUtilityAgent, MultiEpsilonGreedyAgent, MultiMaxAgent, MultiProbabilit...

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0

null

0

null

0

1

0

9a5ad370a80119a4cd36243d371bcf4ccf37a3ae

1,439

py

Python

src/leaf/file_tools.py

Pix-00/olea-v2_flask_1_

7ddfa83a7a2a7dfbe55b78da002c1193f38781c0

[ "Apache-2.0" ]

null

src/leaf/file_tools.py

Pix-00/olea-v2_flask_1_

7ddfa83a7a2a7dfbe55b78da002c1193f38781c0

[ "Apache-2.0" ]

null

src/leaf/file_tools.py

Pix-00/olea-v2_flask_1_

7ddfa83a7a2a7dfbe55b78da002c1193f38781c0

[ "Apache-2.0" ]

null

from hashlib import sha3_256 import magic from enums import Dep, MangoType MIME_MTYPE = { 'text/plain': MangoType.text, 'audio/flac': MangoType.audio_flac, 'audio/wav': MangoType.audio_wav, 'image/png': MangoType.picture_png, 'image/jpeg': MangoType.picture_jpg, 'video/x-matroska': MangoType....

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null

0

null

0

1

0

9a61264c94a41a473e6cc008dcf849ae78b0596c

898

py

Python

akamai/cache_buster/bust_cache.py

famartinrh/cloud-services-config

7dd4fe24fc09a62f360e3407629b1c2567a10260

[ "MIT" ]

11

2019-06-25T17:01:12.000Z

2022-01-21T18:53:13.000Z

akamai/cache_buster/bust_cache.py

famartinrh/cloud-services-config

7dd4fe24fc09a62f360e3407629b1c2567a10260

[ "MIT" ]

253

2019-05-24T12:48:32.000Z

2022-03-29T11:00:25.000Z

akamai/cache_buster/bust_cache.py

famartinrh/cloud-services-config

7dd4fe24fc09a62f360e3407629b1c2567a10260

[ "MIT" ]

93

2019-04-17T09:22:43.000Z

2022-03-21T18:53:28.000Z

import sys import subprocess def main(): edgeRcPath = sys.argv[1] branch = sys.argv[2] navlist = sys.argv[3:] domain = 'https://console.stage.redhat.com' if 'prod' in branch: domain = 'https://console.redhat.com' if 'beta' in branch: domain += '/beta' purgeAssets = ['fed-mod...

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null

0

null

0

1

0

9a620af02d14a583cea144484597abc9077f8497

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py

Python

gryphon/dashboards/handlers/status.py

qiquanzhijia/gryphon

7bb2c646e638212bd1352feb1b5d21536a5b918d

[ "Apache-2.0" ]

1,109

2019-06-20T19:23:27.000Z

2022-03-20T14:03:43.000Z

gryphon/dashboards/handlers/status.py

qiquanzhijia/gryphon

7bb2c646e638212bd1352feb1b5d21536a5b918d

[ "Apache-2.0" ]

63

2019-06-21T05:36:17.000Z

2021-05-26T21:08:15.000Z

gryphon/dashboards/handlers/status.py

qiquanzhijia/gryphon

7bb2c646e638212bd1352feb1b5d21536a5b918d

[ "Apache-2.0" ]

181

2019-06-20T19:42:05.000Z

2022-03-21T13:05:13.000Z

# -*- coding: utf-8 -*- from datetime import timedelta import logging from delorean import Delorean import tornado.web from gryphon.dashboards.handlers.admin_base import AdminBaseHandler from gryphon.lib.exchange import exchange_factory from gryphon.lib.models.order import Order from gryphon.lib.models.exchange impor...

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null

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9a63239cdeadf5547e515d79f10a494c6c3288e7

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py

Python

setup.py

Hydar-Zartash/TF_regression

ac7cef4c1f248664b57139ae40c582ec80b2355f

[ "MIT" ]

null

setup.py

Hydar-Zartash/TF_regression

ac7cef4c1f248664b57139ae40c582ec80b2355f

[ "MIT" ]

null

setup.py

Hydar-Zartash/TF_regression

ac7cef4c1f248664b57139ae40c582ec80b2355f

[ "MIT" ]

null

import yfinance as yf import numpy as np import pandas as pd class StockSetup(): """ The object of this class includes a dataframe, a classifier trained on it and some associated test and prediction stats """ def __init__(self, ticker: str, target:int) -> None: """Initialize the ob...

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0.09047

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0.046512

0

null

0

null

0

1

0

9a636c8c285701e4e227ff48aaa2926973c39b10

1,893

py

Python

netsuitesdk/api/custom_records.py

wolever/netsuite-sdk-py

1b1c21e2a8a532fdbf54915e7e9d30b8b5fc2d08

[ "MIT" ]

47

2019-08-15T21:36:36.000Z

2022-03-18T23:44:59.000Z

netsuitesdk/api/custom_records.py

wolever/netsuite-sdk-py

1b1c21e2a8a532fdbf54915e7e9d30b8b5fc2d08

[ "MIT" ]

52

2019-06-17T09:43:04.000Z

2022-03-22T05:00:53.000Z

netsuitesdk/api/custom_records.py

wolever/netsuite-sdk-py

1b1c21e2a8a532fdbf54915e7e9d30b8b5fc2d08

[ "MIT" ]

55

2019-06-02T22:18:01.000Z

2022-03-29T07:20:31.000Z

from collections import OrderedDict from .base import ApiBase import logging logger = logging.getLogger(__name__) class CustomRecords(ApiBase): SIMPLE_FIELDS = [ 'allowAttachments', 'allowInlineEditing', 'allowNumberingOverride', 'allowQuickSearch', 'altName', 'au...

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null

0

null

0

1

0

9a67d0c9f6bb396b9d590ca653e1ee83e64bff97

3,421

py

Python

ava/actives/shell_injection.py

indeedsecurity/ava-ce

4483b301034a096b716646a470a6642b3df8ce61

[ "Apache-2.0" ]

2

2019-03-26T15:37:48.000Z

2020-01-03T03:47:30.000Z

ava/actives/shell_injection.py

indeedsecurity/ava-ce

4483b301034a096b716646a470a6642b3df8ce61

[ "Apache-2.0" ]

2

2021-03-25T21:27:09.000Z

2021-06-01T21:20:04.000Z

ava/actives/shell_injection.py

indeedsecurity/ava-ce

4483b301034a096b716646a470a6642b3df8ce61

[ "Apache-2.0" ]

null

import re from ava.common.check import _ValueCheck, _TimingCheck from ava.common.exception import InvalidFormatException # metadata name = __name__ description = "checks for shell injection" class ShellInjectionCheck(_ValueCheck): """ Checks for Shell Injection by executing the 'id' command. The payload use...

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0

null

0

null

0

1

0

7bd4c7d5599bd575e062c27d1c3e19928097f821

5,967

py

Python

train.py

ProfessorHuang/2D-UNet-Pytorch

b3941e8dc0ac3e76b6eedb656f943f1bd66fa799

[ "MIT" ]

11

2020-12-09T10:38:47.000Z

2022-03-07T13:12:48.000Z

train.py

lllllllllllll-llll/2D-UNet-Pytorch

b3941e8dc0ac3e76b6eedb656f943f1bd66fa799

[ "MIT" ]

3

2020-11-24T02:23:02.000Z

2021-04-18T15:31:51.000Z

train.py

ProfessorHuang/2D-UNet-Pytorch

b3941e8dc0ac3e76b6eedb656f943f1bd66fa799

[ "MIT" ]

2

2021-04-07T06:17:46.000Z

2021-11-11T07:41:46.000Z

import argparse import logging import os import sys import numpy as np from tqdm import tqdm import time import torch import torch.nn as nn from torch import optim from torch.utils.tensorboard import SummaryWriter from torch.utils.data import DataLoader from models.unet import UNet from models.nested_unet import Nest...

37.062112

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null

0

null

0

1

0

7bd7513f32c35775cd41faee3dba10cf9bfca50a

882

py

Python

app/mod_tweepy/controllers.py

cbll/SocialDigger

177a7b5bb1b295722e8d281a8f33678a02bd5ab0

[ "Apache-2.0" ]

3

2016-01-28T20:35:46.000Z

2020-03-08T08:49:07.000Z

app/mod_tweepy/controllers.py

cbll/SocialDigger

177a7b5bb1b295722e8d281a8f33678a02bd5ab0

[ "Apache-2.0" ]

null

app/mod_tweepy/controllers.py

cbll/SocialDigger

177a7b5bb1b295722e8d281a8f33678a02bd5ab0

[ "Apache-2.0" ]

null

from flask import Flask from flask.ext.tweepy import Tweepy app = Flask(__name__) app.config.setdefault('TWEEPY_CONSUMER_KEY', 'sve32G2LtUhvgyj64J0aaEPNk') app.config.setdefault('TWEEPY_CONSUMER_SECRET', '0z4NmfjET4BrLiOGsspTkVKxzDK1Qv6Yb2oiHpZC9Vi0T9cY2X') app.config.setdefault('TWEEPY_ACCESS_TOKEN_KEY', '1425531373-...

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0

null

0

null

0

1

0

7bd8f52d214214860defef756924562c2d718956

2,135

py

Python

speed/__init__.py

Astrochamp/speed

e17b2d1de6590d08e5cfddf875b4445f20c1e08a

[ "MIT" ]

1

2022-02-12T18:43:43.000Z

speed/__init__.py

Astrochamp/speed

e17b2d1de6590d08e5cfddf875b4445f20c1e08a

[ "MIT" ]

null

speed/__init__.py

Astrochamp/speed

e17b2d1de6590d08e5cfddf875b4445f20c1e08a

[ "MIT" ]

null

def showSpeed(func, r, *args): '''Usage: showSpeed(function, runs) You can also pass arguments into <function> like so: showSpeed(function, runs, <other>, <args>, <here> ...) showSpeed() prints the average execution time of <function> over <runs> runs ''' def formatted(f): import re ...

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null

0

null

0

1

0

7bd9a84e5c6f84dbd90d1bc72cc33fccf0f2c06c

9,106

py

Python

polygonize.py

yaramohajerani/GL_learning

aa8d644024e48ba3e68398050f259b61d0660a2e

[ "MIT" ]

7

2021-03-04T15:43:21.000Z

2021-07-08T08:42:23.000Z

polygonize.py

yaramohajerani/GL_learning

aa8d644024e48ba3e68398050f259b61d0660a2e

[ "MIT" ]

null

polygonize.py

yaramohajerani/GL_learning

aa8d644024e48ba3e68398050f259b61d0660a2e

[ "MIT" ]

2

2021-03-11T12:04:42.000Z

2021-04-20T16:33:31.000Z

#!/usr/bin/env python u""" polygonize.py Yara Mohajerani (Last update 09/2020) Read output predictions and convert to shapefile lines """ import os import sys import rasterio import numpy as np import getopt import shapefile from skimage.measure import find_contours from shapely.geometry import Polygon,LineString,Poin...

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null

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0

7bdb2f5c5a190e7161ceacb56d31dd8753fd3925

4,573

py

Python

test_autofit/graphical/regression/test_linear_regression.py

rhayes777/AutoFit

f5d769755b85a6188ec1736d0d754f27321c2f06

[ "MIT" ]

null

test_autofit/graphical/regression/test_linear_regression.py

rhayes777/AutoFit

f5d769755b85a6188ec1736d0d754f27321c2f06

[ "MIT" ]

null

test_autofit/graphical/regression/test_linear_regression.py

rhayes777/AutoFit

f5d769755b85a6188ec1736d0d754f27321c2f06

[ "MIT" ]

null

import numpy as np import pytest from autofit.graphical import ( EPMeanField, LaplaceOptimiser, EPOptimiser, Factor, ) from autofit.messages import FixedMessage, NormalMessage np.random.seed(1) prior_std = 10. error_std = 1. a = np.array([[-1.3], [0.7]]) b = np.array([-0.5]) n_obs = 100 n_features,...

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null

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null

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7bdbfbdb118df696ee04cd30b0904cea6a77354a

1,716

py

Python

src/linear/linear.py

RaulMurillo/cpp-torch

30d0ee38c20f389e4b996d821952a48cccc70789

[ "MIT" ]

null

src/linear/linear.py

RaulMurillo/cpp-torch

30d0ee38c20f389e4b996d821952a48cccc70789

[ "MIT" ]

null

src/linear/linear.py

RaulMurillo/cpp-torch

30d0ee38c20f389e4b996d821952a48cccc70789

[ "MIT" ]

null

import math from torch import nn import torch import torch.nn.functional as F import linear_cpu as linear class LinearFunction(torch.autograd.Function): @staticmethod def forward(ctx, input, weights, bias, params): is_bias = int(params[0]) outputs = linear.forward(input, weights, bias, is_bi...

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null

0

null

0

1

0

7bdf6ec04e7754ae150125e027e057b6d43b24d9

11,907

py

Python

object_files_api/files_api.py

ndlib/mellon-manifest-pipeline

aa90494e73fbc30ce701771ac653d28d533217db

[ "Apache-2.0" ]

1

2021-06-27T15:16:13.000Z

object_files_api/files_api.py

ndlib/marble-manifest-pipeline

abc036e4c81a8a5e938373a43153e2492a17cbf8

[ "Apache-2.0" ]

8

2019-11-05T18:58:23.000Z

2021-09-03T14:54:42.000Z

object_files_api/files_api.py

ndlib/mellon-manifest-pipeline

aa90494e73fbc30ce701771ac653d28d533217db

[ "Apache-2.0" ]

null

""" Files API """ import boto3 import os import io from datetime import datetime, timedelta import json import time from s3_helpers import write_s3_json, read_s3_json, delete_s3_key from api_helpers import json_serial from search_files import crawl_available_files, update_pdf_fields from dynamo_helpers import add_file_...

62.340314

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0

null

0

null

0

1

0

7be095f1c9c4b3f5f33d92d1c96cc497d62846c5

40,240

py

Python

sampledb/frontend/projects.py

NicolasCARPi/sampledb

d6fd0f4d28d05010d7e0c022fbf2576e25435077

[ "MIT" ]

null

sampledb/frontend/projects.py

NicolasCARPi/sampledb

d6fd0f4d28d05010d7e0c022fbf2576e25435077

[ "MIT" ]

null

sampledb/frontend/projects.py

NicolasCARPi/sampledb

d6fd0f4d28d05010d7e0c022fbf2576e25435077

[ "MIT" ]

null

# coding: utf-8 """ """ import flask import flask_login import json from flask_babel import _ from . import frontend from .. import logic from ..logic.object_permissions import Permissions from ..logic.security_tokens import verify_token from ..logic.languages import get_languages, get_language, get_language_by_lang...

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null

0

null

0

1

0

7be58215b629ccdaed1b12b4ee8ac016d5bf374b

1,474

py

Python

setup.py

caalle/caaalle

3653155338fefde73579508ee83905a8ad8e3924

[ "Apache-2.0" ]

null

setup.py

caalle/caaalle

3653155338fefde73579508ee83905a8ad8e3924

[ "Apache-2.0" ]

4

2021-04-26T18:42:38.000Z

2021-04-26T18:42:41.000Z

setup.py

caalle/caaalle

3653155338fefde73579508ee83905a8ad8e3924

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import codecs import os import re from setuptools import setup with open('README.md', 'r') as f: readme = f.read() here = os.path.abspath(os.path.dirname(__file__)) def read(*parts): with codecs.open(os.path.join(here, *parts), 'r') as fp: return fp.read() def find_version(*f...

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null

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7be827f0693117abffb3e3ef853dcd8e6d5807a0

10,522

py

Python

kevlar/tests/test_novel.py

johnsmith2077/kevlar

3ed06dae62479e89ccd200391728c416d4df8052

[ "MIT" ]

24

2016-12-07T07:59:09.000Z

2019-03-11T02:05:36.000Z

kevlar/tests/test_novel.py

johnsmith2077/kevlar

3ed06dae62479e89ccd200391728c416d4df8052

[ "MIT" ]

325

2016-12-07T07:37:17.000Z

2019-03-12T19:01:40.000Z

kevlar/tests/test_novel.py

standage/kevlar

622d1869266550422e91a60119ddc7261eea434a

[ "MIT" ]

8

2017-08-17T01:37:39.000Z

2019-03-01T16:17:44.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # # ----------------------------------------------------------------------------- # Copyright (c) 2016 The Regents of the University of California # # This file is part of kevlar (http://github.com/dib-lab/kevlar) and is # licensed under the MIT license: see LICENSE. # ----...

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null

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7bea7db6a9ed79dea66853c2fd9ed8df8241cc8b

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py

Python

bot.py

egor5q/pvp-combat

42d0f9df14e35c408deb7a360a9f7544ceae7dd7

[ "MIT" ]

null

bot.py

egor5q/pvp-combat

42d0f9df14e35c408deb7a360a9f7544ceae7dd7

[ "MIT" ]

null

bot.py

egor5q/pvp-combat

42d0f9df14e35c408deb7a360a9f7544ceae7dd7

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os import telebot import time import random import threading from emoji import emojize from telebot import types from pymongo import MongoClient import traceback token = os.environ['TELEGRAM_TOKEN'] bot = telebot.TeleBot(token) #client=MongoClient(os.environ['database']) #db=client. #u...

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null

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null

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1

0

7bee6b98a8502317f53e2986edd1dc16f78c2ac7

50,039

py

Python

simleague/simleague.py

Kuro-Rui/flare-cogs

f739e3a4a8c65bf0e10945d242ba0b82f96c6d3d

[ "MIT" ]

38

2021-03-07T17:13:10.000Z

2022-02-28T19:50:00.000Z

simleague/simleague.py

Kuro-Rui/flare-cogs

f739e3a4a8c65bf0e10945d242ba0b82f96c6d3d

[ "MIT" ]

44

2021-03-12T19:13:32.000Z

2022-03-18T10:20:52.000Z

simleague/simleague.py

Kuro-Rui/flare-cogs

f739e3a4a8c65bf0e10945d242ba0b82f96c6d3d

[ "MIT" ]

33

2021-03-08T18:59:59.000Z

2022-03-23T10:57:46.000Z

import asyncio import logging import random import time from abc import ABC from typing import Literal, Optional import aiohttp import discord from redbot.core import Config, bank, checks, commands from redbot.core.utils.chat_formatting import box from redbot.core.utils.menus import DEFAULT_CONTROLS, menu from tabulat...

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7befce5f0d88c105c0447661c3338248d03f3ae9

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py

Python

7_neural_networks/4_DeepLearning2.py

edrmonteiro/DataSciencePython

0a35fb085bc0b98b33e083d0e1b113a04caa3aac

[ "MIT" ]

null

7_neural_networks/4_DeepLearning2.py

edrmonteiro/DataSciencePython

0a35fb085bc0b98b33e083d0e1b113a04caa3aac

[ "MIT" ]

null

7_neural_networks/4_DeepLearning2.py

edrmonteiro/DataSciencePython

0a35fb085bc0b98b33e083d0e1b113a04caa3aac

[ "MIT" ]

null

""" Deep Learning """ import pandas as pd from keras.models import Sequential from keras.layers import Dense from sklearn.model_selection import train_test_split from sklearn.metrics import confusion_matrix from sklearn.preprocessing import LabelEncoder, OneHotEncoder from sklearn.preprocessing import StandardScaler f...

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null

0

null

0

1

0

7bf5401a73cd65b2b3dab4a303b9fc867d22f877

3,142

py

Python

presta_connect.py

subteno-it/presta_connect

7cc8f2f915b28ada40a03573651a3558e6503004

[ "MIT" ]

null

presta_connect.py

subteno-it/presta_connect

7cc8f2f915b28ada40a03573651a3558e6503004

[ "MIT" ]

null

presta_connect.py

subteno-it/presta_connect

7cc8f2f915b28ada40a03573651a3558e6503004

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright 2019 Subteno IT # License MIT License import requests import xmltodict import string import random import io class PrestaConnectError(RuntimeError): pass class PrestaConnect: _BOUNDARY_CHARS = string.digits + string.ascii_letters _STATUSES = (200, 201) def __ini...

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null

0

null

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1

0

7bf8ba88150b609b31fa7978009e2b6cda410d96

1,702

py

Python

examples/run_burgers.py

s274001/PINA

beb33f0da20581338c46f0c525775904b35a1130

[ "MIT" ]

4

2022-02-16T14:52:55.000Z

2022-03-17T13:31:42.000Z

examples/run_burgers.py

s274001/PINA

beb33f0da20581338c46f0c525775904b35a1130

[ "MIT" ]

3

2022-02-17T08:57:42.000Z

2022-03-28T08:41:53.000Z

examples/run_burgers.py

s274001/PINA

beb33f0da20581338c46f0c525775904b35a1130

[ "MIT" ]

7

2022-02-13T14:35:00.000Z

2022-03-28T08:51:11.000Z

import argparse import torch from torch.nn import Softplus from pina import PINN, Plotter from pina.model import FeedForward from problems.burgers import Burgers1D class myFeature(torch.nn.Module): """ Feature: sin(pi*x) """ def __init__(self, idx): super(myFeature, self).__init__() s...

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0.021154

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0

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0.222222

0

null

0

null

0

1

0

7bf92b8ac984ff1d4af8bc11028ce720f6dccb7d

2,072

py

Python

questions/cousins-in-binary-tree/Solution.py

marcus-aurelianus/leetcode-solutions

8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6

[ "MIT" ]

141

2017-12-12T21:45:53.000Z

2022-03-25T07:03:39.000Z

questions/cousins-in-binary-tree/Solution.py

marcus-aurelianus/leetcode-solutions

8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6

[ "MIT" ]

32

2015-10-05T14:09:52.000Z

2021-05-30T10:28:41.000Z

questions/cousins-in-binary-tree/Solution.py

marcus-aurelianus/leetcode-solutions

8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6

[ "MIT" ]

56

2015-09-30T05:23:28.000Z

2022-03-08T07:57:11.000Z

""" In a binary tree, the root node is at depth 0, and children of each depth k node are at depth k+1. Two nodes of a binary tree are cousins if they have the same depth, but have different parents. We are given the root of a binary tree with unique values, and the values x and y of two different nodes in the tree. Re...

28

117

0.531853

329

2,072

3.325228

0.246201

0.032907

0.040219

0.030165

0.23766

0.173675

0.113346

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0.059848

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2,072

74

118

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false

0

0.25

0

null

0

null

0

1

0

7bfad01ae563f31b06389bcaffa8bf4fb786658a

456

py

Python

utility_ai/models/action.py

TomasMaciulis/Utility-AI-API

29144e4b5dc038854335bd11ed3b072ba1231ebc

[ "MIT" ]

null

utility_ai/models/action.py

TomasMaciulis/Utility-AI-API

29144e4b5dc038854335bd11ed3b072ba1231ebc

[ "MIT" ]

null

utility_ai/models/action.py

TomasMaciulis/Utility-AI-API

29144e4b5dc038854335bd11ed3b072ba1231ebc

[ "MIT" ]

null

from .configuration_entry import ConfigurationEntry from utility_ai.traits.utility_score_trait import UtilityScoreTrait class Action(ConfigurationEntry, UtilityScoreTrait): def __init__(self, name: str, description: dict): ConfigurationEntry.__init__(self, name, description) UtilityScoreTrait.__i...

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68

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0

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0

1

0.090909

false

0

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0

0.363636

0

null

0

null

0

1

0

7bfb0d85a9d2727156196fca82066ec05a53a3a0

1,119

py

Python

widdy/styles.py

ubunatic/widdy

1e5923d90010f27e352ad3eebb670c09752dd86b

[ "MIT" ]

2

2018-05-30T17:23:46.000Z

2019-08-29T20:32:27.000Z

widdy/styles.py

ubunatic/widdy

1e5923d90010f27e352ad3eebb670c09752dd86b

[ "MIT" ]

null

widdy/styles.py

ubunatic/widdy

1e5923d90010f27e352ad3eebb670c09752dd86b

[ "MIT" ]

null

from collections import namedtuple Style = namedtuple('Style', 'name fg bg') default_pal = { Style('inv-black', 'black', 'light gray'), Style('green-bold', 'dark green,bold', ''), Style('red-bold', 'dark red,bold', ''), Style('blue-bold', 'dark blue,bold', ''), St...

29.447368

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0.489723

116

1,119

4.655172

0.189655

0.1

0.077778

0.074074

0

0.319929

1,119

37

62

30.243243

0.709593

0

0.323503

0

1

0

false

0

0.033333

0

0.033333

0

null

0

null

0

1

0

7bfc0a90c6e361e602b8b4fb5d3bb23952ab70e8

3,468

py

Python

nist_tools/combine_images.py

Nepherhotep/roboarchive-broom

a60c6038a5506c19edc6b74dbb47de525b246d2a

[ "MIT" ]

null

nist_tools/combine_images.py

Nepherhotep/roboarchive-broom

a60c6038a5506c19edc6b74dbb47de525b246d2a

[ "MIT" ]

null

nist_tools/combine_images.py

Nepherhotep/roboarchive-broom

a60c6038a5506c19edc6b74dbb47de525b246d2a

[ "MIT" ]

null

import os import random import cv2 import numpy as np from gen_textures import add_noise, texture, blank_image from nist_tools.extract_nist_text import BaseMain, parse_args, display class CombineMain(BaseMain): SRC_DIR = 'blurred' DST_DIR = 'combined_raw' BG_DIR = 'backgrounds' SMPL_DIR = 'combined...

31.527273

94

0.625144

489

3,468

4.188139

0.269939

0.058594

0.024414

0.03418

0.20752

0.13916

0.099609

0.071289

0.041992

0

0.026974

0.262399

3,468

109

95

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0

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0

1

0.1

false

0

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0.314286

0.028571

0

null

0

null

0

1

0

7bfe07fff56233f17c17498061812fd747efa684

1,205

py

Python

auto_funcs/look_for_date.py

rhysrushton/testauto

9c32f40640f58703a0d063afbb647855fb680a61

[ "MIT" ]

null

auto_funcs/look_for_date.py

rhysrushton/testauto

9c32f40640f58703a0d063afbb647855fb680a61

[ "MIT" ]

null

auto_funcs/look_for_date.py

rhysrushton/testauto

9c32f40640f58703a0d063afbb647855fb680a61

[ "MIT" ]

null

# this function looks for either the encounter date or the patient's date of birth # so that we can avoid duplicate encounters. import time def look_for_date (date_string, driver): print('looking for date') date_present = False for div in driver.find_elements_by_class_name('card.my-4.patient-card.assessme...

30.125

99

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1,205

4.63522

0.421384

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0.081411

0.130258

0.398915

0.320217

0

0.005695

0.271369

1,205

39

100

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0

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0

1

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0

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0.277778

0.222222

0

null

0

null

0

1

0

7bfefe9a585dfb51817f970316b20305a606310a

1,047

py

Python

app/api/apis/token_api.py

boceckts/ideahub

fbd48c53a5aaf7252a5461d0c0d2fe9d4eef9aed

[ "BSD-3-Clause" ]

null

app/api/apis/token_api.py

boceckts/ideahub

fbd48c53a5aaf7252a5461d0c0d2fe9d4eef9aed

[ "BSD-3-Clause" ]

null

app/api/apis/token_api.py

boceckts/ideahub

fbd48c53a5aaf7252a5461d0c0d2fe9d4eef9aed

[ "BSD-3-Clause" ]

null

from flask import g from flask_restplus import Resource, marshal from app import db from app.api.namespaces.token_namespace import token_ns, token from app.api.security.authentication import basic_auth, token_auth @token_ns.route('', strict_slashes=False) @token_ns.response(401, 'Unauthenticated') @token_ns.response...

32.71875

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0.700096

136

1,047

5.191176

0.419118

0.069405

0.084986

0.072238

0

0.021251

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1,047

31

68

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0.040115

0

0.083333

0

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0

1

0.083333

false

0

0.208333

0

0.416667

0

null

0

null

0

1

0

d0003ec058228de9777e23294e4fbffc93d7d212

4,816

py

Python

docker_multiarch/tool.py

CynthiaProtector/helo

ad9e22363a92389b3fa519ecae9061c6ead28b05

[ "Apache-2.0" ]

399

2017-05-30T05:12:48.000Z

2022-01-29T05:53:08.000Z

docker_multiarch/tool.py

greenpea0104/incubator-mxnet

fc9e70bf2d349ad4c6cb65ff3f0958e23a7410bf

[ "Apache-2.0" ]

58

2017-05-30T23:25:32.000Z

2019-11-18T09:30:54.000Z

docker_multiarch/tool.py

greenpea0104/incubator-mxnet

fc9e70bf2d349ad4c6cb65ff3f0958e23a7410bf

[ "Apache-2.0" ]

107

2017-05-30T05:53:22.000Z

2021-06-24T02:43:31.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache Licen...

30.871795

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null

0

null

0

1

0

d003fb1f6605d874e72c3a666281e62431d7b2a8

3,283

py

Python

02module/module_containers.py

mayi140611/szzy_pytorch

81978d75513bc9a1b85aec05023d14fa6f748674

[ "Apache-2.0" ]

null

02module/module_containers.py

mayi140611/szzy_pytorch

81978d75513bc9a1b85aec05023d14fa6f748674

[ "Apache-2.0" ]

null

02module/module_containers.py

mayi140611/szzy_pytorch

81978d75513bc9a1b85aec05023d14fa6f748674

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ # @file name : module_containers.py # @author : tingsongyu # @date : 2019-09-20 10:08:00 # @brief : 模型容器——Sequential, ModuleList, ModuleDict """ import torch import torchvision import torch.nn as nn from collections import OrderedDict # ============================ Sequenti...

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0

null

0

null

0

1

0

d00408e74248e82eceb28ea83155d9b67a8bad9f

2,124

py

Python

tests/test_sample_images.py

olavosamp/semiauto-video-annotation

b1a46f9c0ad3bdcedab76b4cd730747ee2afd2fd

[ "MIT" ]

null

tests/test_sample_images.py

olavosamp/semiauto-video-annotation

b1a46f9c0ad3bdcedab76b4cd730747ee2afd2fd

[ "MIT" ]

20

2019-07-15T21:49:29.000Z

2020-01-09T14:35:03.000Z

tests/test_sample_images.py

olavosamp/semiauto-video-annotation

b1a46f9c0ad3bdcedab76b4cd730747ee2afd2fd

[ "MIT" ]

null

import pytest import shutil as sh import pandas as pd from pathlib import Path from glob import glob import libs.dirs as dirs from libs.iteration_manager import SampleImages from libs.utils import copy_files, replace_symbols class Te...

34.819672

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0.342105

0.026316

0

null

0

null

0

1

0

d00676794b322b39517d8082c8b83c61f4836359

284

py

Python

Unit 2/2.16/2.16.5 Black and White Squares.py

shashwat73/cse

60e49307e57105cf9916c7329f53f891c5e81fdb

[ "MIT" ]

1

2021-04-08T14:02:49.000Z

Unit 2/2.16/2.16.5 Black and White Squares.py

shashwat73/cse

60e49307e57105cf9916c7329f53f891c5e81fdb

[ "MIT" ]

null

Unit 2/2.16/2.16.5 Black and White Squares.py

shashwat73/cse

60e49307e57105cf9916c7329f53f891c5e81fdb

[ "MIT" ]

null

speed(0) def make_square(i): if i % 2 == 0: begin_fill() for i in range(4): forward(25) left(90) end_fill() penup() setposition(-100, 0) pendown() for i in range (6): pendown() make_square(i) penup() forward(35)

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0

null

0

null

0

1

0

d0075df444476cd69e92bd3d5f61f5eff5a35b08

771

py

Python

Q1/read.py

arpanmangal/Regression

06969286d7db65a537e89ac37905310592542ca9

[ "MIT" ]

null

Q1/read.py

arpanmangal/Regression

06969286d7db65a537e89ac37905310592542ca9

[ "MIT" ]

null

Q1/read.py

arpanmangal/Regression

06969286d7db65a537e89ac37905310592542ca9

[ "MIT" ]

null

""" Module for reading data from 'linearX.csv' and 'linearY.csv' """ import numpy as np def loadData (x_file="ass1_data/linearX.csv", y_file="ass1_data/linearY.csv"): """ Loads the X, Y matrices. Splits into training, validation and test sets """ X = np.genfromtxt(x_file) Y = np.genfromtxt(y_...

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0.2

0

null

0

null

0

1

0

d008c5731d8fedc349d8c20f7b0bc4f197dfbb75

1,172

py

Python

utils/get_dic_question_id.py

Pxtri2156/M4C_inforgraphicsVQA

8846ea01a9be726de03e8944c746203936334bc9

[ "BSD-3-Clause" ]

1

2022-02-15T14:46:15.000Z

utils/get_dic_question_id.py

Pxtri2156/M4C_inforgraphicsVQA

8846ea01a9be726de03e8944c746203936334bc9

[ "BSD-3-Clause" ]

null

utils/get_dic_question_id.py

Pxtri2156/M4C_inforgraphicsVQA

8846ea01a9be726de03e8944c746203936334bc9

[ "BSD-3-Clause" ]

1

2022-02-13T11:15:11.000Z

import argparse import json from os import openpty def create_dic_question_id(path): set_name = ['train', 'val', 'test'] dic_qid = {} for i in range(len(set_name)): print("Processing, ", set_name[i]) annot_path = path.replace("change", set_name[i]) annot_fi = open(annot_path) ...

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0.055556

0

null

0

null

0

1

0

d00b60aaa781272c43b31aa8c0398a217c133f07

1,863

py

Python

admin_reskin/templatetags/sort_menu_items.py

cuongnb14/django-admin-reskin

9245b60195892e8a3d51294ec70692714452bc29

[ "MIT" ]

null

admin_reskin/templatetags/sort_menu_items.py

cuongnb14/django-admin-reskin

9245b60195892e8a3d51294ec70692714452bc29

[ "MIT" ]

null

admin_reskin/templatetags/sort_menu_items.py

cuongnb14/django-admin-reskin

9245b60195892e8a3d51294ec70692714452bc29

[ "MIT" ]

null

from django import template from django.conf import settings from ..models import Bookmark register = template.Library() RESKIN_MENU_APP_ORDER = settings.RESKIN_MENU_APP_ORDER RESKIN_MENU_MODEL_ORDER = settings.RESKIN_MENU_MODEL_ORDER RESKIN_APP_ICON = settings.RESKIN_APP_ICON @register.filter def sort_apps(apps):...

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1,863

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0

0.054545

0

0.127273

0

null

0

null

0

1

0

d00bef4cf659464b2641f10ea3856a63d0a1dab5

1,537

py

Python

fda/db.py

tsbischof/fda510k

40065cc873547ceaf992bd0f51e24fe2b2ea4387

[ "BSD-2-Clause" ]

null

fda/db.py

tsbischof/fda510k

40065cc873547ceaf992bd0f51e24fe2b2ea4387

[ "BSD-2-Clause" ]

3

2021-08-31T14:00:17.000Z

2021-09-01T20:47:06.000Z

fda/db.py

tsbischof/fda

40065cc873547ceaf992bd0f51e24fe2b2ea4387

[ "BSD-2-Clause" ]

null

import os import io import urllib.request import zipfile import pandas import fda def get_510k_db(root_dir=os.path.join(fda.root_db_dir, "510k"), force_download=False): if not os.path.exists(root_dir): os.makedirs(root_dir) db_urls = [ "http://www.accessdata.fda.gov/...

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0

0.235294

0

null

0

null

0

1

0

d00e57b669e23409bb8d461e39ac2d007f53bbe7

4,657

py

Python

inpr/get_num_plate.py

patrickn699/INPR

737a3454a4b83e51e50937bb227ac7f8bc01d0e9

[ "MIT" ]

2

2021-09-25T06:00:40.000Z

2021-10-14T13:24:43.000Z

inpr/get_num_plate.py

patrickn699/INPR

737a3454a4b83e51e50937bb227ac7f8bc01d0e9

[ "MIT" ]

null

inpr/get_num_plate.py

patrickn699/INPR

737a3454a4b83e51e50937bb227ac7f8bc01d0e9

[ "MIT" ]

1

2022-01-27T11:39:10.000Z

import numpy as np import matplotlib.pyplot as plt import re as r import easyocr #import os #os.environ['KMP_DUPLICATE_LIB_OK']='True' re = easyocr.Reader(['en']) #pl = [] chk = [] a = '' a1 = '' #pl = [] #sym = ['{', ']', '[', '}'] class get_number_plate: def get_bboxes_from(self, output): """ returns...

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0.013889

0

null

0

null

0

1

0

d00eac7a88a79181fbec1ff905386e4e480a89db

3,632

py

Python

client/nodes/detector_docker/sign_filter_node.py

CanboYe/BusEdge

2e53e1d1d82559fc3e9f0029b2f0faf4e356b210

[ "MIT", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

2

2021-08-17T14:14:28.000Z

2022-02-02T02:09:33.000Z

client/nodes/detector_docker/sign_filter_node.py

cmusatyalab/gabriel-BusEdge

528a6ee337882c6e709375ecd7ec7e201083c825

[ "MIT", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

null

client/nodes/detector_docker/sign_filter_node.py

cmusatyalab/gabriel-BusEdge

528a6ee337882c6e709375ecd7ec7e201083c825

[ "MIT", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

1

2021-09-01T16:18:29.000Z

# SPDX-FileCopyrightText: 2021 Carnegie Mellon University # # SPDX-License-Identifier: Apache-2.0 import logging import cv2 from busedge_protocol import busedge_pb2 from gabriel_protocol import gabriel_pb2 from sign_filter import SignFilter logger = logging.getLogger(__name__) import argparse import multiprocessing...

28.155039

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128

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0

0.164835

0

null

0

null

0

1

0

d01001102fad7912a59abc8be03d31f0294830cb

3,095

py

Python

collector/cli.py

mvinii94/aws-lambda-log-collector

682850f282b70aa18663699c7e5e32bc4f6a8be1

[ "MIT" ]

4

2019-11-13T12:49:31.000Z

2020-11-19T06:59:45.000Z

collector/cli.py

mvinii94/aws-lambda-log-collector

682850f282b70aa18663699c7e5e32bc4f6a8be1

[ "MIT" ]

null

collector/cli.py

mvinii94/aws-lambda-log-collector

682850f282b70aa18663699c7e5e32bc4f6a8be1

[ "MIT" ]

null

import click from pathlib import Path # Local imports from .__init__ import * from .utils import parse_time, create_dir, write_file, get_profiles, compress, INVALID_PROFILE, INVALID_DATES from .lambda_log_collector import LambdaLogCollector @click.command() @click.version_option() @click.option("--function-name", "-...

41.824324

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0.055501

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0

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0.136364

0

null

0

null

0

1

0

d01640b2fef264dfd84ea3721e0ecaa46ce8a2a7

2,072

py

Python

common/data_helper.py

ThisIsSoSteve/Project-Tensorflow-Cars

6cdfedceffa56ac0885ce2253dae4549859b2dbf

[ "MIT" ]

1

2017-05-11T06:01:46.000Z

common/data_helper.py

ThisIsSoSteve/Project-Tensorflow-Cars

6cdfedceffa56ac0885ce2253dae4549859b2dbf

[ "MIT" ]

2

2017-05-11T10:03:16.000Z

2017-06-21T18:25:00.000Z

common/data_helper.py

ThisIsSoSteve/Project-Tensorflow-Cars

6cdfedceffa56ac0885ce2253dae4549859b2dbf

[ "MIT" ]

null

import glob import pickle from shutil import copy from tqdm import tqdm class DataHelper: """ helpers to transform and move data around add more as needed. """ def copy_specific_training_data_to_new_folder(self, source_folder_path, destination_folder_path, ...

35.118644

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0.16195

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0.285714

0

null

0

null

0

1

0

d017493522e0d4e934860f36259d7cd6e8ff4de0

1,009

py

Python

swifitool/faults/flp.py

chenoya/swifi-tool

9386fab56e12d83cbe14024b5d5edac0fd1e3baf

[ "MIT" ]

null

swifitool/faults/flp.py

chenoya/swifi-tool

9386fab56e12d83cbe14024b5d5edac0fd1e3baf

[ "MIT" ]

null

swifitool/faults/flp.py

chenoya/swifi-tool

9386fab56e12d83cbe14024b5d5edac0fd1e3baf

[ "MIT" ]

null

from faults.faultmodel import FaultModel from utils import * class FLP(FaultModel): name = 'FLP' docs = ' FLP addr significance \t flip one specific bit' nb_args = 2 def __init__(self, config, args): super().__init__(config, args) self.addr = parse_addr(args[0]) check_or_fa...

34.793103

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0.055276

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0.060302

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0.270565

1,009

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0.434783

0

null

0

null

0

1

0

d01a949b661519f2a818675ee51e8c4ae04571b0

3,120

py

Python

MLGame/games/snake/ml/rule.py

Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING

f4a58d0d9f5832a77a4a86352e084065dc7bae50

[ "MIT" ]

null

MLGame/games/snake/ml/rule.py

Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING

f4a58d0d9f5832a77a4a86352e084065dc7bae50

[ "MIT" ]

null

MLGame/games/snake/ml/rule.py

Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING

f4a58d0d9f5832a77a4a86352e084065dc7bae50

[ "MIT" ]

null

""" The template of the script for playing the game in the ml mode """ class MLPlay: def __init__(self): """ Constructor """ self.direction = 0#上下左右 :1,2,3,4 self.current_x = 0 self.current_y = 0 self.last_x = 0 self.last_y = 0 self.x_dir = 0...

32.5

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0.25

0.013889

0

null

0

null

0

1

0

d01ad5a73de06c489b92a116216a85d95752401d

856

py

Python

CodingInterviews/python/37_get_num_of_k_2.py

YorkFish/git_study

6e023244daaa22e12b24e632e76a13e5066f2947

[ "MIT" ]

null

CodingInterviews/python/37_get_num_of_k_2.py

YorkFish/git_study

6e023244daaa22e12b24e632e76a13e5066f2947

[ "MIT" ]

null

CodingInterviews/python/37_get_num_of_k_2.py

YorkFish/git_study

6e023244daaa22e12b24e632e76a13e5066f2947

[ "MIT" ]

null

#!/usr/bin/env python3 # coding:utf-8 class Solution: def GetNumberOfK(self, data, k): if data == [] or k > data[-1]: return 0 def binSearch(data, num): left = 0 right = len(data) - 1 while left < right: mid = left + (right - left) /...

20.878049

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0

0.24

0.04

0

null

0

null

0

1

0

d01bbe0df932770a9de781be883abde7e781fb15

23,356

py

Python

PerceptualLoss.py

kirill-pinigin/DeepImageDenoiser

9a228c821bd3960688a4ed35f47f4767d226b57c

[ "Apache-2.0" ]

null

PerceptualLoss.py

kirill-pinigin/DeepImageDenoiser

9a228c821bd3960688a4ed35f47f4767d226b57c

[ "Apache-2.0" ]

null

PerceptualLoss.py

kirill-pinigin/DeepImageDenoiser

9a228c821bd3960688a4ed35f47f4767d226b57c

[ "Apache-2.0" ]

null

import torch import torch.nn as nn from torchvision import models from torch.autograd import Variable from torch.nn.parameter import Parameter from DeepImageDenoiser import LR_THRESHOLD, DIMENSION, LEARNING_RATE from NeuralModels import SpectralNorm ITERATION_LIMIT = int(1e6) SQUEEZENET_CONFIG = {'dnn' : models.squ...

45.088803

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0.019002

0

null

0

null

0

1

0

d0205b5caed2d6f638ffecd766f2e084e27abd9b

11,517

py

Python

Python/Unittest/Fixtures/tests.py

Gjacquenot/training-material

16b29962bf5683f97a1072d961dd9f31e7468b8d

[ "CC-BY-4.0" ]

115

2015-03-23T13:34:42.000Z

2022-03-21T00:27:21.000Z

Python/Unittest/Fixtures/tests.py

Gjacquenot/training-material

16b29962bf5683f97a1072d961dd9f31e7468b8d

[ "CC-BY-4.0" ]

56

2015-02-25T15:04:26.000Z

2022-01-03T07:42:48.000Z

Python/Unittest/Fixtures/tests.py

Gjacquenot/training-material

16b29962bf5683f97a1072d961dd9f31e7468b8d

[ "CC-BY-4.0" ]

59

2015-11-26T11:44:51.000Z

2022-03-21T00:27:22.000Z

#!/usr/bin/env python import os import shutil import sqlite3 import unittest import init_db '''name of database to use as master''' master_name = 'projects.db' def setUpModule(): '''create and fill the database''' conn = sqlite3.connect(master_name) init_db.execute_file(conn, 'create_db.sql') init...

36.33123

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0.163265

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null

0

null

0

1

0

d021199fc85a8a81bc13417b44056945e03b66e3

3,668

py

Python

backend/ids/views/ids.py

block-id/wallet

b5479df7df0e5b5733f0ae262ffc17f9b923347d

[ "Apache-2.0" ]

null

backend/ids/views/ids.py

block-id/wallet

b5479df7df0e5b5733f0ae262ffc17f9b923347d

[ "Apache-2.0" ]

null

backend/ids/views/ids.py

block-id/wallet

b5479df7df0e5b5733f0ae262ffc17f9b923347d

[ "Apache-2.0" ]

1

2021-12-31T17:27:44.000Z

import json from django.http.response import JsonResponse from django.db.models import Q from django.contrib.auth import authenticate from rest_framework import viewsets, mixins from rest_framework.permissions import IsAuthenticated from rest_framework.exceptions import ValidationError, AuthenticationFailed from rest_...

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null

0

null

0

1

0

d0229c062e76ef7372542bd68ae2fdd99d5d9b15

1,257

py

Python

pattern.py

surajwate/textpattern

79869f932717bec47fc4a0e3e968c5a8321d8038

[ "MIT" ]

null

pattern.py

surajwate/textpattern

79869f932717bec47fc4a0e3e968c5a8321d8038

[ "MIT" ]

null

pattern.py

surajwate/textpattern

79869f932717bec47fc4a0e3e968c5a8321d8038

[ "MIT" ]

null

def plusdash(plus, dash): for i in range((plus-1)*dash + plus): if i%(dash+1)==0: print('+', end='') else: print('-', end='') print('') def pipe(pipe, space): for i in range((pipe-1)*space + pipe): if i % (space+1) == 0: print('|', end='') ...

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0.478123

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3.535294

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0.586957

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0

0.108696

0.217391

0

null

0

null

0

1

0

d028aa49515cb0d7956170029a3d7c9b7460dad7

2,624

py

Python

src/apps/analysis/gen/edgeWeightBipartiteGaphGenerator.py

JacobFV/mln-analysis

f78a6531e5126f29e6895e9b8e4b4600110b3858

[ "MIT" ]

null

src/apps/analysis/gen/edgeWeightBipartiteGaphGenerator.py

JacobFV/mln-analysis

f78a6531e5126f29e6895e9b8e4b4600110b3858

[ "MIT" ]

null

src/apps/analysis/gen/edgeWeightBipartiteGaphGenerator.py

JacobFV/mln-analysis

f78a6531e5126f29e6895e9b8e4b4600110b3858

[ "MIT" ]

null

import os def get_comm_no(community_id, community_dict): community_id = str(community_id) if community_id in community_dict: return community_dict[community_id] else: return 0 def edgeWeightBipartiteGraphGenerator( layer1, layer2, layer1CommunityFile, layer2CommunityFile, ...

35.459459

76

0.671113

358

2,624

4.589385

0.223464

0.029215

0.087645

0.102252

0.483262

0.461351

0.336579

0.272672

0.174072

0.093731

0

0.0308

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2,624

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77

35.945205

0.785395

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0.123077

0

0.011827

0.008564

0

1

0.030769

false

0

0.015385

0

0.076923

0

null

0

null

0

1

0

d029c8b65c82f8223b70d8ea031a22a8434f3b04

5,171

py

Python

pubs/utils.py

WIPACrepo/publication-web-db

f5d77f43c89377449f4fbe952f6b1dcfc458c91a

[ "MIT" ]

null

pubs/utils.py

WIPACrepo/publication-web-db

f5d77f43c89377449f4fbe952f6b1dcfc458c91a

[ "MIT" ]

16

2020-09-26T00:49:56.000Z

2021-09-09T19:03:42.000Z

pubs/utils.py

WIPACrepo/publication-web-db

f5d77f43c89377449f4fbe952f6b1dcfc458c91a

[ "MIT" ]

null

from datetime import datetime import logging import json import csv from io import StringIO import pymongo from bson.objectid import ObjectId from . import PUBLICATION_TYPES, PROJECTS, SITES def nowstr(): return datetime.utcnow().isoformat() def date_format(datestring): if 'T' in datestring: if '.' ...

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5,171

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0.221752

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144

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0.822109

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0.130769

0

null

0

null

0

1

0

d030a03f345b6f7f695002177f49aa4bf23d3d3c

2,471

py

Python

src/ColorfulData_Package/ColorfulData.py

Alex8695/Colored

f72a5f5da041b73a8771c1b0f6ef80d5e0e83e7b

[ "MIT" ]

null

src/ColorfulData_Package/ColorfulData.py

Alex8695/Colored

f72a5f5da041b73a8771c1b0f6ef80d5e0e83e7b

[ "MIT" ]

null

src/ColorfulData_Package/ColorfulData.py

Alex8695/Colored

f72a5f5da041b73a8771c1b0f6ef80d5e0e83e7b

[ "MIT" ]

null

import numpy as np from math import ceil,floor class ColorfulData: """ Create custom evenly distributed color palete \n`Get_Colors_Matched`: key,value relationship evenly distributed for given unique values \n`Get_Colors`: Evenly distributed for given length """ @staticmethod def Get_Color...

39.222222

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2,471

5.175862

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0.045303

0.055963

0.338441

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0.227848

0

0.005495

0.263456

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168

39.854839

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0.133333

0

1

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0

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0

0.233333

0.033333

0

null

0

null

0

1

0

d031d9ffaf0e038bf3ce7cef8d63034738a6cd8f

6,453

py

Python

Algorithms/SPO2CART.py

rtm2130/SPOTree

0b92946a2d14202a1ca251201ddbb07892951e78

[ "MIT" ]

15

2020-03-06T23:07:09.000Z

2022-03-30T09:46:30.000Z

Algorithms/SPO2CART.py

Tobias272727/SPOTree

88e2e8423cb133f6c521bae5b8c7a0acba01ccab

[ "MIT" ]

1

2020-09-14T14:32:03.000Z

2020-10-16T02:39:24.000Z

Algorithms/SPO2CART.py

Tobias272727/SPOTree

88e2e8423cb133f6c521bae5b8c7a0acba01ccab

[ "MIT" ]

13

2020-04-04T16:43:56.000Z

2022-03-27T05:28:19.000Z

""" Encodes SPOT MILP as the structure of a CART tree in order to apply CART's pruning method Also supports traverse() which traverses the tree """ import numpy as np from mtp_SPO2CART import MTP_SPO2CART from decision_problem_solver import* from scipy.spatial import distance def truncate_train_x(train_x, train_x_pre...

44.8125

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0.712692

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6,453

4.389109

0.272277

0.030453

0.024363

0.020302

0.228288

0.204827

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0.103316

0

0.007947

0.200527

6,453

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163

44.8125

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0

0.12069

0

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0

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0.241379

0

null

0

null

0

1

0

d037b0f6bf8c9bdca8f41dcdf3788289e4161b30

2,954

py

Python

lib/m96_visualization.py

jaenrig-ifx/MID

a7284f50105575ed6675daeb8a70e144784a0550

[ "MIT" ]

2

2020-12-13T11:52:32.000Z

2022-01-06T20:41:24.000Z

lib/m96_visualization.py

jaenrig-ifx/MID

a7284f50105575ed6675daeb8a70e144784a0550

[ "MIT" ]

null

lib/m96_visualization.py

jaenrig-ifx/MID

a7284f50105575ed6675daeb8a70e144784a0550

[ "MIT" ]

null

# This package uses tk to create a simple graphical # output representing the iDrive state import tkinter as tk import numpy as np # why not use the numpy native? but whatever def rotate_2D(vector, angle): r = np.array([[np.cos(angle), np.sin(angle)], [-np.sin(angle), np.cos(angle)]]) return r.d...

38.868421

132

0.574475

493

2,954

3.36714

0.273834

0.062651

0.059036

0.057831

0.46988

0.383735

0.229518

0.193373

0.171687

0

0.132541

0.259309

2,954

75

133

39.386667

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0.094787

0

0.039216

0

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0

1

0.058824

false

0

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0

0.137255

0

null

0

null

0

1

0

d039ac9e3ce8ea272819341ba9dcf26eae196cff

2,054

py

Python

popoff/atom_types.py

pzarabadip/PopOff

4a9db1ff264ab96196014388721a832aea0f7325

[ "MIT" ]

4

2021-06-18T12:22:50.000Z

2021-12-27T16:00:31.000Z

popoff/atom_types.py

pzarabadip/PopOff

4a9db1ff264ab96196014388721a832aea0f7325

[ "MIT" ]

1

2021-06-27T23:02:23.000Z

2021-08-02T10:07:46.000Z

popoff/atom_types.py

pzarabadip/PopOff

4a9db1ff264ab96196014388721a832aea0f7325

[ "MIT" ]

2

2021-06-22T10:39:06.000Z

2021-12-27T17:52:16.000Z

class AtomType(): """ Class for each atom type. """ def __init__( self, atom_type_index, label, element_type, mass, charge, core_shell=None ): """ Initialise an instance for each atom type in the structure. Args: atom_type_index (int): Integer index for this ato...

36.678571

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257

2,054

4.521401

0.256809

0.096386

0.078313

0.025818

0.080895

0.056799

0

0.336904

2,054

55

95

37.345455

0.853157

0.304284

0

0.176565

0

1

0.076923

false

0

0.192308

0

null

0

null

0

1

0

d03a3dde95a4d151a055d00333559975c2f67791

2,116

py

Python

fastreg/ols.py

ajferraro/fastreg

32cdb15908480bd8d5a084126968c78b17010189

[ "MIT" ]

null

fastreg/ols.py

ajferraro/fastreg

32cdb15908480bd8d5a084126968c78b17010189

[ "MIT" ]

1

2017-11-28T16:21:09.000Z

2017-11-28T17:19:04.000Z

fastreg/ols.py

ajferraro/fastreg

32cdb15908480bd8d5a084126968c78b17010189

[ "MIT" ]

3

2017-11-28T16:56:25.000Z

2021-02-18T18:18:46.000Z

import numpy as np from scipy import stats import utils def fit(xdata, ydata): """Calculate 2D regression. Args: xdata (numpy.ndarray): 1D array of independent data [ntim], where ntim is the number of time points (or other independent points). ydata (numpy.ndarray): 2...

33.587302

75

0.614367

312

2,116

4.108974

0.384615

0.031201

0.043682

0.020281

0.131045

0.081123

0.049922

0

0.021611

0.278355

2,116

62

76

34.129032

0.817944

0.45983

0

1

0.038462

false

0

0.115385

0

0.192308

0

null

0

null

0

1

0

d03b6aeb253fdd06dec81e7fe877f6830639e18f

796

py

Python

event/timeout.py

dannl/hunter-sim-classic

e32cccc8431cc3e78b08067dd58e10fec52aac6a

[ "MIT" ]

null

event/timeout.py

dannl/hunter-sim-classic

e32cccc8431cc3e78b08067dd58e10fec52aac6a

[ "MIT" ]

null

event/timeout.py

dannl/hunter-sim-classic

e32cccc8431cc3e78b08067dd58e10fec52aac6a

[ "MIT" ]

null

from event import Event class BuffTimeOut(Event): def __init__(self, buff, rotation, engine, char_state, priority): super().__init__('buff_time_out', priority) self.buff = buff self.rotation = rotation self.engine = engine self.char_state = char_state def act(self): ...

33.166667

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796

4.778846

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0.144869

0.084507

0.114688

0.382294

0

0.238693

796

23

78

34.608696

0.820132

0.173367

0

0.019878

0

1

0.2

false

0

0.066667

0

0.333333

0

null

0

null

0

1

0

d03c4e907665dac0cd64374cfeb54bcf34b259de

2,017

py

Python

server.py

shawkyelshazly1/Chat-App

7cb27e9ad0e014409407bc7f2053caf406236797

[ "MIT" ]

null

server.py

shawkyelshazly1/Chat-App

7cb27e9ad0e014409407bc7f2053caf406236797

[ "MIT" ]

null

server.py

shawkyelshazly1/Chat-App

7cb27e9ad0e014409407bc7f2053caf406236797

[ "MIT" ]

null

import socket import threading import json PORT = 5000 SERVER = socket.gethostbyname(socket.gethostname()) ADDRESS = ('', PORT) FORMAT = 'utf-8' clients, names = [], [] server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server.bind(ADDRESS) def StartChat(): print(f'server is working on: {SERVER}') ...

23.729412

89

0.562717

204

2,017

5.470588

0.387255

0.021505

0.028674

0.078853

0

0.011905

0.333664

2,017

84

90

24.011905

0.818452

0

0.209677

0

0.124442

0.040654

0

1

0.064516

false

0

0.048387

0

0.112903

0.096774

0

null

0

null

0

1

0

d041f4ae9fd51d426b42247db152f3d516a92484

561

py

Python

slam_recognition/filters/rgby.py

SimLeek/pySILEnT

feec2d1fb654d7c8dc25f610916f4e9b202a1092

[ "Apache-2.0", "MIT" ]

5

2018-11-18T17:35:59.000Z

2019-02-13T20:25:58.000Z

slam_recognition/filters/rgby.py

SimLeek/slam_recognition

feec2d1fb654d7c8dc25f610916f4e9b202a1092

[ "Apache-2.0", "MIT" ]

12

2018-10-31T01:57:55.000Z

2019-02-07T05:49:36.000Z

slam_recognition/filters/rgby.py

SimLeek/pySILEnT

feec2d1fb654d7c8dc25f610916f4e9b202a1092

[ "Apache-2.0", "MIT" ]

null

from slam_recognition.constant_convolutions.center_surround import rgby_3 from slam_recognition.util.get_dimensions import get_dimensions import tensorflow as tf def rgby_filter(tensor # type: tf.Tensor ): n_dimensions = get_dimensions(tensor) rgby = rgby_3(n_dimensions) conv_rgby = tf.co...

37.4

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0.473684

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0

0.032333

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14

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0.026738

0

0.007353

0

1

0.090909

false

0

0.272727

0

0.454545

0

null

0

null

0

1

0

d042d23ac886c0996046b66ccaa7d239f4bcb644

6,293

py

Python

source/preprocessing/lm_text_generator.py

lzzhaha/self_talk

238e5583c0f6ca0ed8a4a035b74f366d376bcd6d

[ "Apache-2.0" ]

63

2020-04-14T03:40:12.000Z

2022-03-30T07:10:20.000Z

source/preprocessing/lm_text_generator.py

lzzhaha/self_talk

238e5583c0f6ca0ed8a4a035b74f366d376bcd6d

[ "Apache-2.0" ]

2

2021-07-10T04:10:18.000Z

2022-03-22T20:33:18.000Z

source/preprocessing/lm_text_generator.py

lzzhaha/self_talk

238e5583c0f6ca0ed8a4a035b74f366d376bcd6d

[ "Apache-2.0" ]

7

2020-12-06T03:22:17.000Z

2022-03-25T09:27:19.000Z

""" Adapted from https://github.com/huggingface/transformers/blob/master/examples/run_generation.py """ import re import torch import logging from typing import List from collections import defaultdict from transformers import GPT2Tokenizer, XLNetTokenizer, TransfoXLTokenizer, OpenAIGPTTokenizer from transformers impo...

39.33125

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0.656444

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6,293

5.037453

0.330836

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0.015861

0.148451

0.134077

0.106815

0.093432

0.085502

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0.013407

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117

39.578616

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0

0.084211

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0

1

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false

0

0.073684

0

0.157895

0

null

0

null

0

1

0

d04578120df1707824a754d31bbc073113fe0980

440

py

Python

Python_ABC/2-7dictionary/countLetter.py

Chandler-Song/Python_Awesome

a44b8b79de7b429a00ac5798e7ecdc26c79a09ed

[ "MIT" ]

null

Python_ABC/2-7dictionary/countLetter.py

Chandler-Song/Python_Awesome

a44b8b79de7b429a00ac5798e7ecdc26c79a09ed

[ "MIT" ]

null

Python_ABC/2-7dictionary/countLetter.py

Chandler-Song/Python_Awesome

a44b8b79de7b429a00ac5798e7ecdc26c79a09ed

[ "MIT" ]

null

import pprint # message message = ''' Books and doors are the same thing books. You open them, and you go through into another world. ''' # split message to words into a list words = message.split() # define dictionary counter count = {} # traverse every word and accumulate for word in words: if not word[-1].isal...

18.333333

53

0.702273

67

440

4.61194

0.61194

0.048544

0

0.011142

0.184091

440

24

54

18.333333

0.849582

0.247727

0

0.300614

0

1

0

false

0

0.071429

0

0.071429

0.142857

0

null

0

null

0

1

0

d04a7bba3d57ad48f159bb585e370285252259ef

3,113

py

Python

src/peachyprintertools.py

PeachyPrinter/tkpeachyprinter

d88dcb4891d19c4b81a7f4f072e120d05c02124c

[ "Apache-2.0" ]

1

2017-03-08T02:48:19.000Z

src/peachyprintertools.py

PeachyPrinter/tkpeachyprinter

d88dcb4891d19c4b81a7f4f072e120d05c02124c

[ "Apache-2.0" ]

null

src/peachyprintertools.py

PeachyPrinter/tkpeachyprinter

d88dcb4891d19c4b81a7f4f072e120d05c02124c

[ "Apache-2.0" ]

6

2016-05-12T04:10:18.000Z

2020-02-15T09:55:00.000Z

#!/usr/bin/python # -*- coding: iso-8859-1 -*- import logging from peachyprinter import config, PrinterAPI import argparse import os import sys import time from Tkinter import * from ui.main_ui import MainUI class PeachyPrinterTools(Tk): def __init__(self, parent, path): Tk.__init__(self, parent) ...

34.208791

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3,113

5.420912

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0.023739

0.031652

0.02275

0.105836

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0

0.004845

0.204305

3,113

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34.588889

0.811465

0.013813

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0.158083

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0

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false

0

0.112676

0

0.197183

0.056338

0

null

0

null

0

1

0

d04d2d19a25223c8c1cc1c6c129d213851622ac0

813

py

Python

db/db_create.py

dafarz/base-service

95791beac06c1ac58e0fa2050aa2cf3a3a22d8d7

[ "MIT" ]

null

db/db_create.py

dafarz/base-service

95791beac06c1ac58e0fa2050aa2cf3a3a22d8d7

[ "MIT" ]

null

db/db_create.py

dafarz/base-service

95791beac06c1ac58e0fa2050aa2cf3a3a22d8d7

[ "MIT" ]

null

from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from env_variables import SQL_ALCHEMY_URL _db_url_without_db = '/'.join(SQL_ALCHEMY_URL.split('/')[:-1]) engine = create_engine(f'{_db_url_without_db}', isolation_level='AUTOCOMMIT', echo=True) Session = sessionmaker(engine) def create_dat...

32.52

109

0.676507

101

813

5.079208

0.445545

0.136452

0.076023

0.054581

0.074074

0

0.00311

0.209102

813

24

110

33.875

0.794712

0

0.254613

0

1

0.055556

false

0

0.166667

0

0.222222

0.055556

0

null

0

null

0

1

0

d04e92b69338a9a744afe83b7964f2f2ce880ffe

2,382

py

Python

util/data.py

arturb90/nl2pl

2cd37bdd7c6f9f99349f1235001a1755ba169f4a

[ "MIT" ]

null

util/data.py

arturb90/nl2pl

2cd37bdd7c6f9f99349f1235001a1755ba169f4a

[ "MIT" ]

null

util/data.py

arturb90/nl2pl

2cd37bdd7c6f9f99349f1235001a1755ba169f4a

[ "MIT" ]

1

2021-07-16T09:21:15.000Z

import torch from random import random from torch.nn.utils.rnn import pad_sequence from torch.utils.data import Dataset def collate_fn(batch): ''' Batch-wise preprocessing and padding. :param batch: the current batch. :returns: padded sources, targets, alignments stacks an...

27.697674

73

0.615869

313

2,382

4.492013

0.28754

0.05761

0.07468

0.042674

0

0.008163

0.280017

2,382

85

74

28.023529

0.811662

0.166667

0

0.021156

0

1

0.08

false

0

0.08

0.02

0.24

0

null

0

null

0

1

0

d050c2f9fe46941d4dbe952021eec4b5d9528020

6,548

py

Python

mth5/io/lemi424.py

kujaku11/mth5

b7681335871f3cd1b652276fd93c08554c7538ff

[ "MIT" ]

5

2021-01-08T23:38:47.000Z

2022-03-31T14:13:47.000Z

mth5/io/lemi424.py

kujaku11/mth5

b7681335871f3cd1b652276fd93c08554c7538ff

[ "MIT" ]

76

2020-09-04T02:35:19.000Z

2022-03-31T22:18:09.000Z

mth5/io/lemi424.py

kujaku11/mth5

b7681335871f3cd1b652276fd93c08554c7538ff

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue May 11 15:31:31 2021 :copyright: Jared Peacock (jpeacock@usgs.gov) :license: MIT """ from pathlib import Path import pandas as pd import numpy as np import logging from mth5.timeseries import ChannelTS, RunTS from mt_metadata.timeseries import Station, Run class LE...

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null

0

null

0

1

0

d050d5f902907c952287689dc0a4c79b3535eea2

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py

Python

preprocessing/encoder.py

mjlaali/housing-model

8f0286a4b1909b7e0218d9a8f1340b95d5b9463d

[ "Apache-2.0" ]

null

preprocessing/encoder.py

mjlaali/housing-model

8f0286a4b1909b7e0218d9a8f1340b95d5b9463d

[ "Apache-2.0" ]

3

2020-11-13T18:43:28.000Z

2022-02-10T01:18:05.000Z

preprocessing/encoder.py

mjlaali/housing_model

8f0286a4b1909b7e0218d9a8f1340b95d5b9463d

[ "Apache-2.0" ]

null

import abc import logging import os import pickle from collections import Counter from datetime import datetime from typing import List, Union import numpy as np _logger = logging.getLogger(__name__) class Transformation(abc.ABC): @abc.abstractmethod def analyze(self, raw: object) -> object: pass ...

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0.054264

0.418605

0

null

0

null

0

1

0

d0526bab2f2fcce625c5809ae54737f104402629

2,402

py

Python

tests/test_anglicize.py

hugovk/python-anglicize

1284ec72026f78d56ff5e995328547565ddb4f0b

[ "BSD-2-Clause" ]

1

2020-03-08T09:33:14.000Z

tests/test_anglicize.py

hugovk/python-anglicize

1284ec72026f78d56ff5e995328547565ddb4f0b

[ "BSD-2-Clause" ]

2

2020-03-08T16:45:08.000Z

2020-03-08T20:34:04.000Z

tests/test_anglicize.py

hugovk/python-anglicize

1284ec72026f78d56ff5e995328547565ddb4f0b

[ "BSD-2-Clause" ]

1

2020-03-08T16:33:22.000Z

import pytest from pytest import param as p from anglicize import anglicize, build_mapping @pytest.mark.parametrize( "text, expected", [ p("Abc 123", "Abc 123", id="noop"), p("ĂaÂâÎîȘșȚț", "AaAaIiSsTt", id="romanian"), p("ĄąĆćĘęŁłŃńŹźŻż", "AaCcEeLlNnZzZz", id="polish"), p("ÁáÉ...

37.53125

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0.011843

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0.003348

0.253955

2,402

63

95

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0

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0

0.087719

0

null

0

null

0

1

0

d0543092d21f71915cd4c279a74f105e00c18015

7,035

py

Python

cogs/Reminders.py

noahkw/botw-bot

8d8c9515a177c52270093fb64abf34d111535d16

[ "MIT" ]

1

2020-11-29T23:00:27.000Z

cogs/Reminders.py

noahkw/botw-bot

8d8c9515a177c52270093fb64abf34d111535d16

[ "MIT" ]

18

2020-08-05T11:59:31.000Z

2022-03-15T03:48:40.000Z

cogs/Reminders.py

noahkw/botw-bot

8d8c9515a177c52270093fb64abf34d111535d16

[ "MIT" ]

null

import logging import re from datetime import timezone import pendulum from aioscheduler import TimedScheduler from dateparser import parse from discord.ext import commands from discord.ext.menus import MenuPages import db from cogs import CustomCog, AinitMixin from cogs.Logging import log_usage from const import UNI...

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0

null

0

null

0

1

0

d05487672c8369c2d9e228e3c2e3d6e6a8514f49

4,598

py

Python

lambda/code/lambda_function.py

acloudfan/Amazon-Aurora-DAS-Setup

9c5ca4ac3705e78e877fc51b9ba927a7d367d029

[ "MIT-0" ]

null

lambda/code/lambda_function.py

acloudfan/Amazon-Aurora-DAS-Setup

9c5ca4ac3705e78e877fc51b9ba927a7d367d029

[ "MIT-0" ]

null

lambda/code/lambda_function.py

acloudfan/Amazon-Aurora-DAS-Setup

9c5ca4ac3705e78e877fc51b9ba927a7d367d029

[ "MIT-0" ]

2

2021-05-25T16:14:13.000Z

2022-01-14T14:04:49.000Z

import json import base64 import os import boto3 import zlib # Used for decryption of the received payload import aws_encryption_sdk from aws_encryption_sdk import CommitmentPolicy from aws_encryption_sdk.internal.crypto import WrappingKey from aws_encryption_sdk.key_providers.raw import RawMasterKeyProvider from aws_...

38.316667

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0.04869

0

0.008302

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0

null

0

null

0

1

0

d05d10f97cc5c0bdb332b3fd013760d9dc94d719

9,449

py

Python

Code/Maskrcnn-keras/Experiments2/our_preprocessing.py

SZamboni/NightPedestrianDetection

fc492e0bd3f6f99070975d08a229cc6ef969f9e8

[ "MIT" ]

3

2020-04-03T06:25:23.000Z

2021-04-06T07:30:56.000Z

Code/Maskrcnn-keras/Experiments2/our_preprocessing.py

SZamboni/NightPedestrianDetection

fc492e0bd3f6f99070975d08a229cc6ef969f9e8

[ "MIT" ]

null

Code/Maskrcnn-keras/Experiments2/our_preprocessing.py

SZamboni/NightPedestrianDetection

fc492e0bd3f6f99070975d08a229cc6ef969f9e8

[ "MIT" ]

1

2021-04-06T07:40:26.000Z

import cv2 import numpy as np from skimage import exposure as ex from skimage import data from PIL import Image import skfuzzy as fuzz import math import timeit import time ''' Histogram equalization with colour YCR_CB and histogram equalization only on Y @img: the image to modify @return: the image with the histogr...

31.288079

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0.155317

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9,449

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false

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0

0.267081

0

null

0

null

0

1

0

d05de342ea54b26f257e91dab0c259cdcde355f4

1,812

py

Python

bin/make_known_good_cice_masks.py

PRIMAVERA-H2020/pre-proc

0c47636cbe32a13a9544f3e5ce9f4c778dc55078

[ "BSD-3-Clause" ]

null

bin/make_known_good_cice_masks.py

PRIMAVERA-H2020/pre-proc

0c47636cbe32a13a9544f3e5ce9f4c778dc55078

[ "BSD-3-Clause" ]

null

bin/make_known_good_cice_masks.py

PRIMAVERA-H2020/pre-proc

0c47636cbe32a13a9544f3e5ce9f4c778dc55078

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python """ make_known_good_cice_masks.py Copy known good CICE masks for use in fixing the HadGEM CICE masks. """ import os import numpy as np from netCDF4 import Dataset OUTPUT_DIR = "/gws/nopw/j04/primavera1/masks/HadGEM3Ocean_fixes/cice_masks" def main(): """main entry""" rootgrp = Dataset...

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0

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0.075

0

null

0

null

0

1

0

d05e5954805301cc10d8ab2d703ec21b5e037de7

756

py

Python

config.py

raspberry9/tinypost

6e4b4bf764e93f6d344fbdb9369f326f08146d00

[ "MIT" ]

null

config.py

raspberry9/tinypost

6e4b4bf764e93f6d344fbdb9369f326f08146d00

[ "MIT" ]

null

config.py

raspberry9/tinypost

6e4b4bf764e93f6d344fbdb9369f326f08146d00

[ "MIT" ]

null

# -*- coding: utf-8 -*- import logging import configparser class Config(object): def __init__(self, filename): logging.config.fileConfig(filename) config = configparser.RawConfigParser() config.read(filename) for option, value in config.items(self.name): try: ...

26.068966

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0.070529

0.080605

0.13602

0

0.002058

0.357143

756

28

54

27

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0

0.021858

0

1

0.047619

false

0

0.095238

0

0.190476

0

null

0

null

0

1

0

d05e5b044a9120637eea4c01afc5076feed78586

2,817

py

Python

database/database.py

Valzavator/YouTubeTrendingVideosAnalysis

4baca01a351a20bec04331936cd9f6eafaea815d

[ "MIT" ]

2

2019-06-11T03:26:50.000Z

2020-04-13T01:28:23.000Z

database/database.py

Valzavator/YouTubeTrendingVideosAnalysis

4baca01a351a20bec04331936cd9f6eafaea815d

[ "MIT" ]

2

2020-01-08T13:11:49.000Z

2020-01-08T13:11:54.000Z

database/database.py

Valzavator/YouTubeTrendingVideosAnalysis

4baca01a351a20bec04331936cd9f6eafaea815d

[ "MIT" ]

1

2019-06-11T03:26:54.000Z

import os import subprocess from dotenv import load_dotenv import pymongo from pymongo import MongoClient from pymongo.cursor import Cursor from pymongo.errors import DuplicateKeyError, BulkWriteError from util.args import Args load_dotenv() class Database: def __init__(self, uri=Args.db_host()): self....

28.17

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4.849003

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0.219741

0.171563

0

0.000944

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96

28.454545

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0

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0

0.101526

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0

1

0.191176

false

0

0.117647

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0.485294

0.014706

0

null

0

null

0

1

0

d0629421490c20c90017965031c7298c1372c640

4,066

py

Python

messaging_components/services/service_docker.py

fgiorgetti/qpid-dispatch-tests

164c609d28db87692eed53d5361aa1ee5c97375c

[ "Apache-2.0" ]

null

messaging_components/services/service_docker.py

fgiorgetti/qpid-dispatch-tests

164c609d28db87692eed53d5361aa1ee5c97375c

[ "Apache-2.0" ]

null

messaging_components/services/service_docker.py

fgiorgetti/qpid-dispatch-tests

164c609d28db87692eed53d5361aa1ee5c97375c

[ "Apache-2.0" ]

null

from enum import Enum from typing import Union from iqa_common.executor import Command, Execution, ExecutorAnsible, CommandAnsible, ExecutorContainer, \ CommandContainer, Executor from iqa_common.utils.docker_util import DockerUtil from messaging_abstract.component import Service, ServiceStatus import logging cl...

38.72381

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0.632809

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4,066

6.043373

0.26988

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0.037081

0.270734

0.20933

0.148724

0

0.280374

4,066

104

106

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0.128628

0

0.063492

0

0.085138

0

1

0.142857

false

0

0.095238

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0.47619

0.015873

0

null

0

null

0

1

0

d063b8972e4afe0fab8307dbfa94ac49321f94ea

4,836

py

Python

seatsvotes/bootstrap/abstracts.py

ljwolf/seatsvotes

6d44bba02016cc7ac24cebf6e0d70e1e9e801a5b

[ "MIT" ]

null

seatsvotes/bootstrap/abstracts.py

ljwolf/seatsvotes

6d44bba02016cc7ac24cebf6e0d70e1e9e801a5b

[ "MIT" ]

null

seatsvotes/bootstrap/abstracts.py

ljwolf/seatsvotes

6d44bba02016cc7ac24cebf6e0d70e1e9e801a5b

[ "MIT" ]

null

import numpy as np from ..mixins import Preprocessor, AlwaysPredictPlotter, AdvantageEstimator from warnings import warn class Bootstrap(Preprocessor, AlwaysPredictPlotter, AdvantageEstimator): def __init__(self, elex_frame, covariate_columns=None, weight_column=None, share_colum...

49.85567

121

0.575889

548

4,836

4.928832

0.332117

0.033321

0.022214

0.03147

0.188819

0.105146

0.039985

0

0.002608

0.365798

4,836

96

122

50.375

0.878057

0.399297

0

0.070046

0

1

0.058824

false

0

0.058824

0.019608

0.176471

0

null

0

null

0

1

0

d064bc4db90fca2bed0f8cf38219eca21ad15605

1,657

py

Python

lessons/cse-numpy/drums/drums-5.py

uiuc-cse/2014-01-30-cse

de30ff0afdbb2030c3a844b9cd138177f38d3b76

[ "CC-BY-3.0" ]

1

2021-04-21T23:05:51.000Z

lessons/cse-numpy/drums/drums-5.py

gitter-badger/2014-01-30-cse

de30ff0afdbb2030c3a844b9cd138177f38d3b76

[ "CC-BY-3.0" ]

null

lessons/cse-numpy/drums/drums-5.py

gitter-badger/2014-01-30-cse

de30ff0afdbb2030c3a844b9cd138177f38d3b76

[ "CC-BY-3.0" ]

2

2016-03-12T02:28:13.000Z

2017-05-01T20:43:22.000Z

from __future__ import division import numpy as np import scipy as sp import matplotlib as mpl import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from scipy.special import jn, jn_zeros import subprocess def drumhead_height(n, k, distance, angle, t): nth_zero = jn_zeros(n, k) return np.cos(...

31.865385

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0.660229

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1,657

3.503289

0.427632

0.014085

0.015023

0.033803

0.048826

0.016901

0

0.038856

0.176826

1,657

51

105

32.490196

0.741935

0.089318

0

0.05

0

0.083167

0

1

0.025

false

0

0.225

0

0.275

0

null

0

null

0

1

0

d065e2da402db36ecb6c887992ef35dec831f741

704

py

Python

QB5/spiders/qb5.py

smithgoo/Scrapy_books

b556714510473f324a2952b739d79c0c78f47398

[ "MIT" ]

null

QB5/spiders/qb5.py

smithgoo/Scrapy_books

b556714510473f324a2952b739d79c0c78f47398

[ "MIT" ]

null

QB5/spiders/qb5.py

smithgoo/Scrapy_books

b556714510473f324a2952b739d79c0c78f47398

[ "MIT" ]

null

import scrapy from bs4 import BeautifulSoup import requests from QB5.pipelines import dbHandle from QB5.items import Qb5Item class Qb5Spider(scrapy.Spider): name = 'qb5' allowed_domains = ['qb5.tw'] start_urls = ['https://qb5.tw'] def parse(self, response): soup = BeautifulSoup(response.text) ...

28.16

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0.536932

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4.794872

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0.053476

0

0.019881

0.285511

704

24

62

29.333333

0.723658

0.03125

0

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0.047407

0

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false

0

0.25

0

0.5

0.1

0

null

0

null

0

1

0

d06a5181661f5f73feeb7820ddebac2f55560f7e

3,491

py

Python

src/models/markov_chain.py

dballesteros7/master-thesis-2015

8c0bf9a6eef172fc8167a30780ae0666f8ea2d88

[ "MIT" ]

null

src/models/markov_chain.py

dballesteros7/master-thesis-2015

8c0bf9a6eef172fc8167a30780ae0666f8ea2d88

[ "MIT" ]

null

src/models/markov_chain.py

dballesteros7/master-thesis-2015

8c0bf9a6eef172fc8167a30780ae0666f8ea2d88

[ "MIT" ]

null

import itertools import numpy as np import constants from utils import file class MarkovChain: def __init__(self, n_items: int, pseudo_count: int = 1, use_rejection: bool = True): self.n_items = n_items self.counts = np.empty(n_items) self.first_order_counts = np.empty((n...

42.573171

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3,491

4.444954

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0.072239

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0.120743

0.049536

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0

0.15873

0

null

0

null

0

1

0

d06c950496205dbbc1ed9eef4c8c7e1dcbe953e8

1,668

py

Python

tests/pipeline/nodes/dabble/test_check_large_groups.py

ericleehy/PeekingDuck

8cf1be842235fa60bac13bc466cac09747a780ea

[ "Apache-2.0" ]

1

2021-12-02T05:15:58.000Z

tests/pipeline/nodes/dabble/test_check_large_groups.py

ericleehy/PeekingDuck

8cf1be842235fa60bac13bc466cac09747a780ea

[ "Apache-2.0" ]

null

tests/pipeline/nodes/dabble/test_check_large_groups.py

ericleehy/PeekingDuck

8cf1be842235fa60bac13bc466cac09747a780ea

[ "Apache-2.0" ]

null

# Copyright 2022 AI Singapore # # 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 writing...

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d06e09e4639214f16deaafbd6112fa849f57cd73

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py

Python

src/seisspark/seisspark_context.py

kdeyev/SeisSpark

528d22143acb72e78ed310091db07eb5d731ca09

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

11

2017-08-16T02:32:37.000Z

2020-12-25T07:18:57.000Z

src/seisspark/seisspark_context.py

kdeyev/SeisSpark

528d22143acb72e78ed310091db07eb5d731ca09

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

1

2018-10-15T14:44:17.000Z

src/seisspark/seisspark_context.py

kdeyev/SeisSpark

528d22143acb72e78ed310091db07eb5d731ca09

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

5

2018-05-16T02:36:38.000Z

2020-06-15T07:46:50.000Z

# ============================================================================= # Copyright (c) 2021 SeisSpark (https://github.com/kdeyev/SeisSpark). # # 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 Lice...

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d06f1cb2d99e6c91380d0f70f6e5f7c771735207

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py

Python

tests/parsers/notifications/test_Notification.py

Tberdy/python-amazon-mws-tools

2925118ce113851a2d8db98ad7f99163154f4151

[ "Unlicense" ]

9

2017-03-28T12:58:36.000Z

2020-03-02T14:42:32.000Z

tests/parsers/notifications/test_Notification.py

Tberdy/python-amazon-mws-tools

2925118ce113851a2d8db98ad7f99163154f4151

[ "Unlicense" ]

5

2017-01-05T19:36:18.000Z

2021-12-13T19:43:42.000Z

tests/parsers/notifications/test_Notification.py

Tberdy/python-amazon-mws-tools

2925118ce113851a2d8db98ad7f99163154f4151

[ "Unlicense" ]

5

2017-02-15T17:29:02.000Z

2019-03-06T07:30:55.000Z

from unittest import TestCase from unittest import TestSuite from unittest import main from unittest import makeSuite from mwstools.parsers.notifications import Notification class Dummy(object): """ Only used for test_notification_payload since there is not actually a payload to test. """ def __init...

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d06f2e4133f899f7d55993a62f6fac399373c048

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py

Python

sec_certs/config/configuration.py

J08nY/sec-certs

d25a4a7c830c587a45eb8e37d99f8794dec1a5eb

[ "MIT" ]

2

2021-03-24T11:56:15.000Z

2021-04-12T12:22:16.000Z

sec_certs/config/configuration.py

J08nY/sec-certs

d25a4a7c830c587a45eb8e37d99f8794dec1a5eb

[ "MIT" ]

73

2021-04-12T14:04:04.000Z

2022-03-31T15:40:26.000Z

sec_certs/config/configuration.py

J08nY/sec-certs

d25a4a7c830c587a45eb8e37d99f8794dec1a5eb

[ "MIT" ]

3

2021-03-26T16:15:49.000Z

2021-05-10T07:26:23.000Z

import json from pathlib import Path from typing import Union import jsonschema import yaml class Configuration(object): def load(self, filepath: Union[str, Path]): with Path(filepath).open("r") as file: state = yaml.load(file, Loader=yaml.FullLoader) script_dir = Path(__file__).pare...

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null

0

null

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1

0

d0707615a365376fb262ae4ab58d6c156cbaf97a

4,415

py

Python

parlai/scripts/split_phrases.py

shigailowa/ParlAI

5bb359cdacb8f2b92ba482273cdff20f0d147a72

[ "MIT" ]

null

parlai/scripts/split_phrases.py

shigailowa/ParlAI

5bb359cdacb8f2b92ba482273cdff20f0d147a72

[ "MIT" ]

null

parlai/scripts/split_phrases.py

shigailowa/ParlAI

5bb359cdacb8f2b92ba482273cdff20f0d147a72

[ "MIT" ]

null

import nltk from nltk.chunk.regexp import ChunkString, ChunkRule, ChinkRule from nltk.tree import Tree from nltk.chunk import RegexpParser from nltk.corpus import conll2000 from nltk.tag import NgramTagger #class for Unigram Chunking class UnigramChunker(nltk.ChunkParserI): def __init__(self, train_sents): ...

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null

0

null

0

1

0

d073713261d4accea1d939cebd542842ecae613a

1,320

py

Python

app/utils/zones.py

Xerrors/Meco-Server

f2111bab7691c0b567d5c3b3f38b83fee152a689

[ "MIT" ]

1

2021-07-28T11:24:02.000Z

app/utils/zones.py

Xerrors/Meco-Server

f2111bab7691c0b567d5c3b3f38b83fee152a689

[ "MIT" ]

null

app/utils/zones.py

Xerrors/Meco-Server

f2111bab7691c0b567d5c3b3f38b83fee152a689

[ "MIT" ]

null

import os import json from app.config import DATA_PATH """ _id: ID date: 日期 eg "2020-02-06T15:24:59.942Z" msg: 消息内容 eg "这是内容" status: 状态 eg "😫" （a emoji) """ def get_zones(): with open(os.path.join(DATA_PATH, 'zone.json'), 'r') as f: data = json.load(f) return data['data'] de...

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null

0

null

0

1

0

d078c0acdf412550824a96d5fadcbd21aeb88416

2,534

py

Python

fungal_automata/utils.py

ranyishere/fungal_automata_comap2021

1ef4f00a3e6f17413a60f6882dbee6f156aadfa0

[ "MIT" ]

null

fungal_automata/utils.py

ranyishere/fungal_automata_comap2021

1ef4f00a3e6f17413a60f6882dbee6f156aadfa0

[ "MIT" ]

null

fungal_automata/utils.py

ranyishere/fungal_automata_comap2021

1ef4f00a3e6f17413a60f6882dbee6f156aadfa0

[ "MIT" ]

null

import random import pprint import matplotlib.pyplot as plt import numpy as np from cells import * pp = pprint.PrettyPrinter(indent=2) random.seed(5) def get_image_from_state(cells, time, debug=False): """ Generates an image from the cell states """ # print("time: ", time) img = [] for rix,...

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null

0

null

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1

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d07c7ec019295c93900e320c5fcec0bc4db8705b

415

py

Python

src/server/event_test.py

cnlohr/bridgesim

ff33b63db813eedfc8155c9fecda4c8f1c06ab60

[ "MIT" ]

4

2015-05-03T07:37:34.000Z

2018-05-09T22:27:33.000Z

src/server/event_test.py

cnlohr/bridgesim

ff33b63db813eedfc8155c9fecda4c8f1c06ab60

[ "MIT" ]

1

2016-08-07T16:56:38.000Z

src/server/event_test.py

cnlohr/bridgesim

ff33b63db813eedfc8155c9fecda4c8f1c06ab60

[ "MIT" ]

null

#! /usr/bin/python3 import time from events import * def test1(foo, *args): print("foo: %s otherargs: %s time: %06.3f" % (foo, args, time.time() % 100)) q = QueueExecutor() q.addEvent(test1, time.time() + 3, 1, 5, "foo", "bar", "baz") q.addEvent(test1, time.time() + .5, .3, 20, "foo2", "bar") print("Main thread as...

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0

null

0

null

0

1

0

d07d20e45fea750c32612fcddef24ffc98a05b67

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py

Python

gd/iter_utils.py

nekitdev/gd.py

b9d5e29c09f953f54b9b648fb677e987d9a8e103

[ "MIT" ]

58

2020-09-30T16:51:22.000Z

2022-02-13T17:27:48.000Z

gd/iter_utils.py

NeKitDS/gd.py

b9d5e29c09f953f54b9b648fb677e987d9a8e103

[ "MIT" ]

30

2019-07-29T12:03:41.000Z

2020-09-15T17:01:37.000Z

gd/iter_utils.py

NeKitDS/gd.py

b9d5e29c09f953f54b9b648fb677e987d9a8e103

[ "MIT" ]

20

2019-12-06T03:16:57.000Z

2020-09-16T17:45:27.000Z

from typing import Any, Callable, Dict, Iterable, Mapping, Tuple, TypeVar, Union, cast, overload __all__ = ("extract_iterable_from_tuple", "is_iterable", "item_to_tuple", "mapping_merge") KT = TypeVar("KT") VT = TypeVar("VT") T = TypeVar("T") def mapping_merge(*mappings: Mapping[KT, VT], **arguments: VT) -> Dict[K...

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null

0

null

0

1

0

d07d7eac9f05f51f4abf2075d7c3883791a41eb9

937

py

Python

spacetime/distort_ss.py

uhrwecker/GRDonuts

3087aeb5c169251bdb711b425dcc3040ff962da7

[ "MIT" ]

null

spacetime/distort_ss.py

uhrwecker/GRDonuts

3087aeb5c169251bdb711b425dcc3040ff962da7

[ "MIT" ]

25

2020-03-26T11:16:58.000Z

2020-09-10T18:31:52.000Z

spacetime/distort_ss.py

uhrwecker/GRDonuts

3087aeb5c169251bdb711b425dcc3040ff962da7

[ "MIT" ]

null

import numpy as np from spacetime.potential import Potential class DistortedSchwarzschild(Potential): def __init__(self, theta=np.pi/2, l=3.8, o=1, r_range=(2, 20), num=10000, cont_without_eq=False, verbose=True): super().__init__(r_range=r_range, num=num, cont_wit...

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