xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

86a8e1ed877d30bb9fe2c31cbcb8f214021f1ba6

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py

Python

setup.py

pasinskim/mender-python-client

d6f3dc86ec46b0b249a112c5037bea579266e649

[ "Apache-2.0" ]

null

setup.py

pasinskim/mender-python-client

d6f3dc86ec46b0b249a112c5037bea579266e649

[ "Apache-2.0" ]

71

2020-12-21T05:08:13.000Z

2022-01-31T02:04:26.000Z

setup.py

pasinskim/mender-python-client

d6f3dc86ec46b0b249a112c5037bea579266e649

[ "Apache-2.0" ]

11

2020-12-02T14:46:58.000Z

2021-12-02T06:43:25.000Z

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

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Python

Q295-v2.py

Linchin/python_leetcode_git

3d08ab04bbdbd2ce268f33c501fbb149662872c7

[ "MIT" ]

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Q295-v2.py

Linchin/python_leetcode_git

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[ "MIT" ]

null

Q295-v2.py

Linchin/python_leetcode_git

3d08ab04bbdbd2ce268f33c501fbb149662872c7

[ "MIT" ]

null

""" 295 find median from data stream hard """ from heapq import * class MedianFinder: # max heap and min heap def __init__(self): """ initialize your data structure here. """ self.hi = [] self.lo = [] def addNum(self, num: int) -> None: heappush(self.lo,...

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py

Python

raisimPy/examples/newtonsCradle.py

mstoelzle/raisimLib

81f33a1b82f296e9622f950bc292f61bee2d2c2f

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null

raisimPy/examples/newtonsCradle.py

mstoelzle/raisimLib

81f33a1b82f296e9622f950bc292f61bee2d2c2f

[ "Apache-2.0" ]

null

raisimPy/examples/newtonsCradle.py

mstoelzle/raisimLib

81f33a1b82f296e9622f950bc292f61bee2d2c2f

[ "Apache-2.0" ]

null

import os import numpy as np import raisimpy as raisim import math import time raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + "/../../rsc/activation.raisim") world = raisim.World() ground = world.addGround() world.setTimeStep(0.001) world.setMaterialPairProp("steel", "steel", 0.1, 1.0, 0.0) ...

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Python

nova/virt/hyperv/volumeops.py

viveknandavanam/nova

556377b6915936467436c9d5bb33bc0e22244e1e

[ "Apache-2.0" ]

1

2019-07-29T10:30:24.000Z

nova/virt/hyperv/volumeops.py

viveknandavanam/nova

556377b6915936467436c9d5bb33bc0e22244e1e

[ "Apache-2.0" ]

11

2017-06-19T01:28:55.000Z

2017-06-23T02:01:47.000Z

nova/virt/hyperv/volumeops.py

viveknandavanam/nova

556377b6915936467436c9d5bb33bc0e22244e1e

[ "Apache-2.0" ]

3

2018-04-04T15:15:01.000Z

2018-04-19T18:14:25.000Z

# Copyright 2012 Pedro Navarro Perez # Copyright 2013 Cloudbase Solutions Srl # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org...

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py

Python

-Loan-Approval-Analysis/code.py

lakshit-sharma/greyatom-python-for-data-science

55a6e5a4c54a4f7135cc09fb287d2f2fa1d36413

[ "MIT" ]

null

-Loan-Approval-Analysis/code.py

lakshit-sharma/greyatom-python-for-data-science

55a6e5a4c54a4f7135cc09fb287d2f2fa1d36413

[ "MIT" ]

null

-Loan-Approval-Analysis/code.py

lakshit-sharma/greyatom-python-for-data-science

55a6e5a4c54a4f7135cc09fb287d2f2fa1d36413

[ "MIT" ]

null

# -------------- # Importing header files import numpy as np import pandas as pd from scipy.stats import mode # code starts here bank = pd.read_csv(path) categorical_var = bank.select_dtypes(include = 'object') print(categorical_var) numerical_var = bank.select_dtypes(include = 'number') print(numeric...

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py

Python

others/train_RNN.py

jacobswan1/Video2Commonsense

4dcef76360a29702fd90b7030a39a123da6db19e

[ "MIT" ]

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2021-01-07T00:42:05.000Z

2022-01-18T16:44:09.000Z

others/train_RNN.py

jacobswan1/Video2Commonsense

4dcef76360a29702fd90b7030a39a123da6db19e

[ "MIT" ]

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2021-01-07T00:41:28.000Z

2021-12-01T09:29:49.000Z

others/train_RNN.py

jacobswan1/Video2Commonsense

4dcef76360a29702fd90b7030a39a123da6db19e

[ "MIT" ]

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2021-02-04T04:55:20.000Z

2021-07-25T06:50:44.000Z

''' Training Scropt for V2C captioning task. ''' __author__ = 'Jacob Zhiyuan Fang' import os import numpy as np from opts import * from utils.utils import * import torch.optim as optim from model.Model import Model from torch.utils.data import DataLoader from utils.dataloader import VideoDataset from model.transforme...

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py

Python

new-influx-client.py

benlamonica/energy-monitor

86714a365c91cc05c265de81bce191ff4ab585f8

[ "MIT" ]

null

new-influx-client.py

benlamonica/energy-monitor

86714a365c91cc05c265de81bce191ff4ab585f8

[ "MIT" ]

null

new-influx-client.py

benlamonica/energy-monitor

86714a365c91cc05c265de81bce191ff4ab585f8

[ "MIT" ]

null

import influxdb_client from influxdb_client import InfluxDBClient bucket = "python-client-sandbox" org = "Energy Monitor" token = "miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA==" url = "http://localhost:9999" client = InfluxDBClient(url=url, token=token, org=org) writeApi = c...

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86acd0c8a74d48d7a1cf116cc0a40300ec411cd2

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py

Python

utils/thin.py

BnF-jadis/projet

212b1e7b179a564650fb959d9c2565648178f6b6

[ "CC-BY-3.0" ]

5

2021-06-17T12:48:45.000Z

2022-01-22T22:23:44.000Z

utils/thin.py

BnF-jadis/projet

212b1e7b179a564650fb959d9c2565648178f6b6

[ "CC-BY-3.0" ]

7

2020-11-13T18:42:14.000Z

2022-02-10T01:31:07.000Z

utils/thin.py

BnF-jadis/projet

212b1e7b179a564650fb959d9c2565648178f6b6

[ "CC-BY-3.0" ]

1

2021-10-17T10:49:45.000Z

# 2020, BackThen Maps # Coded by Remi Petitpierre https://github.com/RPetitpierre # For Bibliothèque nationale de France (BnF) import cv2, thinning, os import numpy as np import pandas as pd import shapefile as shp from skimage.measure import approximate_polygon from PIL import Image, ImageDraw from utils.utils im...

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86acd82b514b30458fa54cefc7db6d72f32e8646

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py

Python

easy2fa/tests/test_checkinput.py

lutostag/otp

0792548fa51c489cdc5fcb01a3c6dad1cd453154

[ "MIT" ]

3

2018-01-22T13:45:12.000Z

2022-01-27T04:17:52.000Z

easy2fa/tests/test_checkinput.py

lutostag/otp

0792548fa51c489cdc5fcb01a3c6dad1cd453154

[ "MIT" ]

1

2017-01-24T23:57:51.000Z

2017-12-11T14:33:32.000Z

easy2fa/tests/test_checkinput.py

lutostag/otp

0792548fa51c489cdc5fcb01a3c6dad1cd453154

[ "MIT" ]

null

from unittest import TestCase from unittest.mock import patch from easy2fa import cli class TestCheckInput(TestCase): @patch('builtins.input') def test_default(self, mock_input): mock_input.return_value = '' self.assertEquals(cli.check_input('prompt', default='one'), 'one') mock_input...

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86ad342de7b5dfdb142a5dff63b155f6c655c5c6

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py

Python

bert_finetuning/data_loader.py

nps1ngh/adversarial-bert-german-attacks-defense

3cca292ec4c3c07945f4198ae81e1f671462ed90

[ "Apache-2.0" ]

null

bert_finetuning/data_loader.py

nps1ngh/adversarial-bert-german-attacks-defense

3cca292ec4c3c07945f4198ae81e1f671462ed90

[ "Apache-2.0" ]

null

bert_finetuning/data_loader.py

nps1ngh/adversarial-bert-german-attacks-defense

3cca292ec4c3c07945f4198ae81e1f671462ed90

[ "Apache-2.0" ]

null

from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from bert_finetuning.data import GermanData class GermanDataLoader: def __init__( self, data_paths, model_name, do_cleansing, max_sequence_length, batch_size=8, ...

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86ae167dd0746f0077e0b0c327435fcca99f837b

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py

Python

data/dirty_mnist.py

Karthik-Ragunath/DDU

b9daae9304bdeb222857884ef8cb3b6b3d004d33

[ "MIT" ]

43

2021-05-20T14:07:53.000Z

2022-03-23T12:58:26.000Z

data/dirty_mnist.py

Karthik-Ragunath/DDU

b9daae9304bdeb222857884ef8cb3b6b3d004d33

[ "MIT" ]

3

2021-09-19T20:49:21.000Z

2022-03-07T10:25:47.000Z

data/dirty_mnist.py

Karthik-Ragunath/DDU

b9daae9304bdeb222857884ef8cb3b6b3d004d33

[ "MIT" ]

8

2021-06-26T15:28:45.000Z

2022-02-19T02:07:05.000Z

import torch import numpy as np import torch.utils.data as data from torch.utils.data import Subset from data.fast_mnist import create_MNIST_dataset from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST def get_train_valid_loader(root, batch_size, val_seed=1, val_size=0.1, **kwargs): error_msg...

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86b032b82ee76fccb3eab7e57dd8b06b6868e592

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py

Python

examples/basic_examples/aws_sns_sqs_middleware_service.py

tranvietanh1991/tomodachi

a815fc718b6cc42dc3fe241abb0e5a5829eba0e8

[ "MIT" ]

1

2021-11-01T02:18:55.000Z

examples/basic_examples/aws_sns_sqs_middleware_service.py

tranvietanh1991/tomodachi

a815fc718b6cc42dc3fe241abb0e5a5829eba0e8

[ "MIT" ]

1

2020-12-28T16:16:53.000Z

examples/basic_examples/aws_sns_sqs_middleware_service.py

tranvietanh1991/tomodachi

a815fc718b6cc42dc3fe241abb0e5a5829eba0e8

[ "MIT" ]

null

import os from typing import Any, Callable, Dict import tomodachi from tomodachi import aws_sns_sqs, aws_sns_sqs_publish from tomodachi.discovery import AWSSNSRegistration from tomodachi.envelope import JsonBase async def middleware_function( func: Callable, service: Any, message: Any, topic: str, context: Dict,...

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py

Python

ex9.py

ThitsarAung/python-exercises

bca97875e25f9621fc5f58ab1d360426a21efc7f

[ "MIT" ]

null

ex9.py

ThitsarAung/python-exercises

bca97875e25f9621fc5f58ab1d360426a21efc7f

[ "MIT" ]

null

ex9.py

ThitsarAung/python-exercises

bca97875e25f9621fc5f58ab1d360426a21efc7f

[ "MIT" ]

null

types_of_people = 10 x = f"There are {types_of_people} types of people." binary = "binary" do_not = "don't" y = f"Those who know {binary} and those who {do_not}." print(x) print(y) print(f"I said: {x}") print(f"I also said: '{y}'") hilarious = False joke_evaluation = "Isn't that joke so funny?! {}" print(joke_eval...

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86b2f2b4446116811cbd5f27739dd93c92634c93

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py

Python

mmdnn/conversion/caffe/writer.py

2yz/MMdnn

13d909e4b591a5043b74b611e412c3c0a5eba0cc

[ "MIT" ]

3,442

2017-11-20T08:39:51.000Z

2019-05-06T10:51:19.000Z

mmdnn/conversion/caffe/writer.py

2yz/MMdnn

13d909e4b591a5043b74b611e412c3c0a5eba0cc

[ "MIT" ]

430

2017-11-29T04:21:48.000Z

2019-05-06T05:37:37.000Z

mmdnn/conversion/caffe/writer.py

2yz/MMdnn

13d909e4b591a5043b74b611e412c3c0a5eba0cc

[ "MIT" ]

683

2017-11-20T08:50:34.000Z

2019-05-04T04:25:14.000Z

import base64 from google.protobuf import json_format from importlib import import_module import json import numpy as np import os import sys from mmdnn.conversion.caffe.errors import ConversionError from mmdnn.conversion.caffe.common_graph import fetch_attr_value from mmdnn.conversion.caffe.utils import get_lower_cas...

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py

Python

week1/85-maximal-rectangle.py

LionTao/algo_weekend

d25756761d47491b8c78ecf8a857080497910c76

[ "Unlicense" ]

null

week1/85-maximal-rectangle.py

LionTao/algo_weekend

d25756761d47491b8c78ecf8a857080497910c76

[ "Unlicense" ]

null

week1/85-maximal-rectangle.py

LionTao/algo_weekend

d25756761d47491b8c78ecf8a857080497910c76

[ "Unlicense" ]

null

""" leetcode-85 给定一个仅包含 0 和 1 , 大小为 rows x cols 的二维二进制矩阵, 找出只包含 1 的最大矩形, 并返回其面积。 """ from typing import List class Solution: def maximalRectangle(self, matrix: List[List[str]]) -> int: """ 统计直方图然后单调递增栈 """ rows = len(matrix) if rows == 0: return 0 columns ...

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null

0

null

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86b3d8112beb6b385c29392912e1d48581db14c2

680

py

Python

cookie_refresh.py

guoxianru/cookie_pool_lite

02c4b2009b4c8aa3306ae1f5f7c5decde1eb5f3f

[ "Apache-2.0" ]

null

cookie_refresh.py

guoxianru/cookie_pool_lite

02c4b2009b4c8aa3306ae1f5f7c5decde1eb5f3f

[ "Apache-2.0" ]

null

cookie_refresh.py

guoxianru/cookie_pool_lite

02c4b2009b4c8aa3306ae1f5f7c5decde1eb5f3f

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # @Author: GXR # @CreateTime: 2022-01-20 # @UpdateTime: 2022-01-20 import redis import config import cookie_login from cookie_api import app red = redis.Redis( host=config.REDIS_HOST, port=config.REDIS_PORT, db=config.REDIS_DB, decode_responses=True, ) # 刷新cookie数量 def cooki...

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0

null

0

null

0

1

0

86b6adb997cbd21ec9e8e9a5843dcd2235408ae3

2,997

py

Python

python/tvm/topi/hexagon/slice_ops/add_subtract_multiply.py

yangulei/tvm

d2cbdf381b68134951bfd7525c6a3a67838e5bdf

[ "Apache-2.0" ]

4,640

2017-08-17T19:22:15.000Z

2019-11-04T15:29:46.000Z

python/tvm/topi/hexagon/slice_ops/add_subtract_multiply.py

dmlc/tvm

1e0e9548a6875241267481a4223b4dbf29fa1641

[ "Apache-2.0" ]

2,863

2017-08-17T19:55:50.000Z

2019-11-04T17:18:41.000Z

python/tvm/topi/hexagon/slice_ops/add_subtract_multiply.py

yelite/tvm

7ae919292d42f5858d4db04533bca67b4b5bb44f

[ "Apache-2.0" ]

1,352

2017-08-17T19:30:38.000Z

2019-11-04T16:09:29.000Z

# 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 License, Version 2.0 (the # "License"); you may ...

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null

0

null

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1

0

86b7ef11958dc926cec50bcec5a016a3d479c413

6,634

py

Python

python_modules/automation/automation/docker/dagster_docker.py

jrouly/dagster

2b3104db2fc6439050f7825d4b9ebaf39ddf6c0c

[ "Apache-2.0" ]

null

python_modules/automation/automation/docker/dagster_docker.py

jrouly/dagster

2b3104db2fc6439050f7825d4b9ebaf39ddf6c0c

[ "Apache-2.0" ]

1

2021-06-21T18:30:02.000Z

2021-06-25T21:18:39.000Z

python_modules/automation/automation/docker/dagster_docker.py

jrouly/dagster

2b3104db2fc6439050f7825d4b9ebaf39ddf6c0c

[ "Apache-2.0" ]

null

import contextlib import os from collections import namedtuple import yaml from dagster import __version__ as current_dagster_version from dagster import check from .ecr import ecr_image, get_aws_account_id, get_aws_region from .utils import ( execute_docker_build, execute_docker_push, execute_docker_tag,...

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null

0

null

0

1

0

86b8aba13af33d7534f429cc7d5eda4e95f58299

13,716

py

Python

chrome/test/telemetry/chromeos/login_unittest.py

Fusion-Rom/android_external_chromium_org

d8b126911c6ea9753e9f526bee5654419e1d0ebd

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

231

2015-01-08T09:04:44.000Z

2021-12-30T03:03:10.000Z

chrome/test/telemetry/chromeos/login_unittest.py

Fusion-Rom/android_external_chromium_org

d8b126911c6ea9753e9f526bee5654419e1d0ebd

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

1

2018-02-10T21:00:08.000Z

2018-03-20T05:09:50.000Z

chrome/test/telemetry/chromeos/login_unittest.py

Fusion-Rom/android_external_chromium_org

d8b126911c6ea9753e9f526bee5654419e1d0ebd

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

268

2015-01-21T05:53:28.000Z

2022-03-25T22:09:01.000Z

# Copyright (c) 2012 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import json import logging import os import unittest from telemetry.core import browser_finder from telemetry.core import exceptions from telemetry.core ...

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0

null

0

null

0

1

0

86b8d88ae37a5647339fb11a5a98693e6a0c570d

790

py

Python

generator/database.py

Neotrinost/Neotrinost.ir

f501b8cf410c1e6ec6cc4e5fce935147b8be1e61

[ "MIT" ]

4

2021-05-02T17:35:30.000Z

2021-11-08T12:55:14.000Z

generator/database.py

Neotrinost/Flask_Neotrinost

f501b8cf410c1e6ec6cc4e5fce935147b8be1e61

[ "MIT" ]

4

2021-07-12T19:08:01.000Z

2021-08-13T19:37:50.000Z

generator/database.py

Neotrinost/Neotrinost.ir

f501b8cf410c1e6ec6cc4e5fce935147b8be1e61

[ "MIT" ]

2

2021-08-08T15:10:07.000Z

2021-11-15T08:59:22.000Z

import sqlite3 class Database: def get_connection(self): return sqlite3.connect("./db.sqlite") def add_card(self, card_title, card_text, card_link_text, card_link_url): con = self.get_connection() cur = con.cursor() create_table_query = "CREATE TABLE IF NOT EXISTS cards('card...

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0.058824

0

null

0

null

0

1

0

86babfbac8b5c2af0dd5e02e52be427fd0ffce35

3,688

py

Python

crits/backdoors/forms.py

frbapolkosnik/crits

1278c034f2238e2fe34e65e32ce241128a014df2

[ "MIT" ]

22

2015-01-14T19:49:32.000Z

2022-01-26T12:18:52.000Z

crits/backdoors/forms.py

frbapolkosnik/crits

1278c034f2238e2fe34e65e32ce241128a014df2

[ "MIT" ]

null

crits/backdoors/forms.py

frbapolkosnik/crits

1278c034f2238e2fe34e65e32ce241128a014df2

[ "MIT" ]

6

2015-01-22T21:25:52.000Z

2021-04-12T23:24:14.000Z

from django import forms from django.forms.utils import ErrorList from crits.campaigns.campaign import Campaign from crits.core.forms import add_bucketlist_to_form, add_ticket_to_form from crits.core.handlers import get_item_names, get_source_names from crits.core.user_tools import get_user_organization from crits.cor...

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null

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1

0

86bb18dffc0306993885a2bc13f98c2bb5b4a5b0

7,471

py

Python

src/aprl/agents/monte_carlo.py

fkamrani/adversarial-policies

53e129c2083f6557ddc18dbb39e4e633a2d7ab9b

[ "MIT" ]

211

2019-02-22T08:07:25.000Z

2022-03-14T10:44:20.000Z

src/aprl/agents/monte_carlo.py

fkamrani/adversarial-policies

53e129c2083f6557ddc18dbb39e4e633a2d7ab9b

[ "MIT" ]

51

2019-02-08T01:39:49.000Z

2022-02-15T21:21:46.000Z

src/aprl/agents/monte_carlo.py

fkamrani/adversarial-policies

53e129c2083f6557ddc18dbb39e4e633a2d7ab9b

[ "MIT" ]

41

2019-04-23T05:01:49.000Z

2022-03-16T06:51:19.000Z

"""Monte Carlo receding horizon control.""" from abc import ABC, abstractmethod from multiprocessing import Pipe, Process import gym from stable_baselines.common.vec_env import CloudpickleWrapper from aprl.common.mujoco import MujocoState, ResettableEnv class MujocoResettableWrapper(ResettableEnv, gym.Wrapper): ...

37.355

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0.008621

0

null

0

null

0

1

0

86bb2ac534bb948d97b846d6681e205945c4c9dd

2,063

py

Python

machineLearnInAction/bayes.py

xuwening/tensorflowDemo

65687a61e16f947b7ec8a85d12213f954a71542b

[ "MIT" ]

null

machineLearnInAction/bayes.py

xuwening/tensorflowDemo

65687a61e16f947b7ec8a85d12213f954a71542b

[ "MIT" ]

null

machineLearnInAction/bayes.py

xuwening/tensorflowDemo

65687a61e16f947b7ec8a85d12213f954a71542b

[ "MIT" ]

null

import numpy as np def loadDataSet(): postingList = [['my', 'dog', 'has', 'flea', 'problems', 'help', 'please'], #[0,0,1,1,1......] ['maybe', 'not', 'take', 'him', 'to', 'dog', 'park', 'stupid'], ['my', 'dalmation', 'is', 'so', 'cute', 'I', 'love', 'him'], ...

31.738462

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5.345455

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0.005102

0.006803

0

0.031292

0.271934

2,063

65

98

31.738462

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0

0.04

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0.11404

0

1

0.08

false

0

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0

0.18

0.06

0

null

0

null

0

1

0

86bd7ed417f64120a297b91ba487086bf72ccb3f

2,328

py

Python

cacheable/adapter/PeeweeAdapter.py

d1hotpep/cacheable

9ea97d6504965179f8fe495b67e466c068719445

[ "MIT" ]

null

cacheable/adapter/PeeweeAdapter.py

d1hotpep/cacheable

9ea97d6504965179f8fe495b67e466c068719445

[ "MIT" ]

null

cacheable/adapter/PeeweeAdapter.py

d1hotpep/cacheable

9ea97d6504965179f8fe495b67e466c068719445

[ "MIT" ]

null

import peewee import playhouse.kv from time import time from . import CacheableAdapter class PeeweeAdapter(CacheableAdapter, peewee.Model): key = peewee.CharField(max_length=256, unique=True) value = playhouse.kv.JSONField() mtime = peewee.IntegerField(default=time) ttl = peewee.IntegerField(default=...

24.25

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0.006532

0.342354

2,328

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0

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0.002679

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1

0.111111

false

0

0.063492

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0.333333

0

null

0

null

0

1

0

86bf8dc5885e11ca632362fcec2e79f7e5e74050

6,006

py

Python

mmgen/models/architectures/arcface/helpers.py

plutoyuxie/mmgeneration

0a7f5d16c970de1766ebf049d7a0264fe506504b

[ "Apache-2.0" ]

null

mmgen/models/architectures/arcface/helpers.py

plutoyuxie/mmgeneration

0a7f5d16c970de1766ebf049d7a0264fe506504b

[ "Apache-2.0" ]

null

mmgen/models/architectures/arcface/helpers.py

plutoyuxie/mmgeneration

0a7f5d16c970de1766ebf049d7a0264fe506504b

[ "Apache-2.0" ]

null

from collections import namedtuple import torch from torch.nn import (AdaptiveAvgPool2d, BatchNorm2d, Conv2d, MaxPool2d, Module, PReLU, ReLU, Sequential, Sigmoid) # yapf: disable """ ArcFace implementation from [TreB1eN](https://github.com/TreB1eN/InsightFace_Pytorch) # isort:skip # noqa """ # ...

30.180905

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0

null

0

null

0

1

0

86bfaf5a13f46371cddc52c365f2b99eb199e27e

1,694

py

Python

createplaylist.py

mahi0601/SpotifyPlaylist

55e30bb4c13f291693b892d6eeccc70b4a769805

[ "MIT" ]

47

2020-09-21T11:35:10.000Z

2022-01-17T21:25:39.000Z

createplaylist.py

mahi0601/SpotifyPlaylist

55e30bb4c13f291693b892d6eeccc70b4a769805

[ "MIT" ]

2

2021-03-31T17:02:24.000Z

2021-07-30T08:17:37.000Z

createplaylist.py

mahi0601/SpotifyPlaylist

55e30bb4c13f291693b892d6eeccc70b4a769805

[ "MIT" ]

24

2020-09-21T16:45:38.000Z

2022-03-02T10:50:47.000Z

import os from spotifyclient import SpotifyClient def main(): spotify_client = SpotifyClient(os.getenv("SPOTIFY_AUTHORIZATION_TOKEN"), os.getenv("SPOTIFY_USER_ID")) # get last played tracks num_tracks_to_visualise = int(input("How many tracks would you like to visualis...

42.35

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0.125

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0

null

0

null

0

1

0

86c23c7616ed380cf3c80ae082afe689a1c8e0b9

7,318

py

Python

ConvDR/data/preprocess_cast19.py

blazejdolicki/CHEDAR

e4819775e7f6ffa2d6f1ad798ee262f01370b236

[ "MIT" ]

1

2021-11-10T13:39:16.000Z

ConvDR/data/preprocess_cast19.py

blazejdolicki/CHEDAR

e4819775e7f6ffa2d6f1ad798ee262f01370b236

[ "MIT" ]

null

ConvDR/data/preprocess_cast19.py

blazejdolicki/CHEDAR

e4819775e7f6ffa2d6f1ad798ee262f01370b236

[ "MIT" ]

null

import argparse from trec_car import read_data from tqdm import tqdm import pickle import os import json import copy from utils.util import NUM_FOLD def parse_sim_file(filename): """ Reads the deduplicated documents file and stores the duplicate passage ids into a dictionary """ sim_dict = {} ...

39.556757

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0.051948

0

null

0

null

0

1

0

86c253258ad8f50c39a576db2e17ac13da5ea1c7

15,207

py

Python

coord_convert/geojson_utils.py

brandonxiang/example-pyQGIS

a61d0321d223d0b82e44bb809521965858fde857

[ "MIT" ]

3

2017-02-23T08:35:30.000Z

2018-12-11T05:50:54.000Z

coord_convert/geojson_utils.py

brandonxiang/example-pyQGIS

a61d0321d223d0b82e44bb809521965858fde857

[ "MIT" ]

null

coord_convert/geojson_utils.py

brandonxiang/example-pyQGIS

a61d0321d223d0b82e44bb809521965858fde857

[ "MIT" ]

2

2019-10-22T02:16:50.000Z

2020-09-28T11:37:48.000Z

__doc__ = 'github: https://github.com/brandonxiang/geojson-python-utils' import math from coordTransform_utils import wgs84togcj02 from coordTransform_utils import gcj02tobd09 def linestrings_intersect(line1, line2): """ To valid whether linestrings from geojson are intersected with each other. reference:...

31.290123

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15,207

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0

1

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false

0

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0

0.176923

0

null

0

null

0

1

0

86c368ef733994c7aa8778c60fbe8e4bdf94dac9

347

py

Python

10_days_of_statistics_8_1.py

sercangul/HackerRank

e6d7056babe03baafee8d7f1cacdca7c28b72ded

[ "Apache-2.0" ]

null

10_days_of_statistics_8_1.py

sercangul/HackerRank

e6d7056babe03baafee8d7f1cacdca7c28b72ded

[ "Apache-2.0" ]

null

10_days_of_statistics_8_1.py

sercangul/HackerRank

e6d7056babe03baafee8d7f1cacdca7c28b72ded

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Jun 3 19:26:47 2019 @author: sercangul """ n = 5 xy = [map(int, input().split()) for _ in range(n)] sx, sy, sx2, sxy = map(sum, zip(*[(x, y, x**2, x * y) for x, y in xy])) b = (n * sxy - sx * sy) / (n * sx2 - sx**2) a = (sy / n) - b * (sx / n) print('...

24.785714

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0

0.166667

0

null

0

null

0

1

0

86c4016c71680c25695f7a5d4e332b95ab4759b0

450

py

Python

rlutils/gym/envs/reset_obs/hopper.py

vermouth1992/rl-util

4c06ab8f5c96a44e58f88cf30146bcb837057112

[ "Apache-2.0" ]

null

rlutils/gym/envs/reset_obs/hopper.py

vermouth1992/rl-util

4c06ab8f5c96a44e58f88cf30146bcb837057112

[ "Apache-2.0" ]

null

rlutils/gym/envs/reset_obs/hopper.py

vermouth1992/rl-util

4c06ab8f5c96a44e58f88cf30146bcb837057112

[ "Apache-2.0" ]

null

import gym.envs.mujoco.hopper as hopper import numpy as np class HopperEnv(hopper.HopperEnv): def _get_obs(self): return np.concatenate([ self.sim.data.qpos.flat[1:], self.sim.data.qvel.flat, ]) def reset_obs(self, obs): state = np.insert(obs, 0, 0.) qp...

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null

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86c692ea321aa5d6632c79b6a92f458cad0e5a70

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py

Python

ncm/api.py

SDhuangao/netease-cloud-music-dl

4a970504e1fec0a9848f3920b392aa507d6b3879

[ "MIT" ]

null

ncm/api.py

SDhuangao/netease-cloud-music-dl

4a970504e1fec0a9848f3920b392aa507d6b3879

[ "MIT" ]

null

ncm/api.py

SDhuangao/netease-cloud-music-dl

4a970504e1fec0a9848f3920b392aa507d6b3879

[ "MIT" ]

null

# -*- coding: utf-8 -*- import requests from ncm.encrypt import encrypted_request from ncm.constants import headers from ncm.constants import song_download_url from ncm.constants import get_song_url from ncm.constants import get_album_url from ncm.constants import get_artist_url from ncm.constants import get_playlist...

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null

0

null

0

1

0

86c7301877ec46ff5d214d67d7d24373229e91aa

15,337

py

Python

book/trees/binary_search_tree.py

Web-Dev-Collaborative/algos

d280581d74ded382094283d931a202eb55fd8369

[ "CC0-1.0" ]

153

2015-12-24T00:32:23.000Z

2022-02-24T06:00:29.000Z

book/trees/binary_search_tree.py

Web-Dev-Collaborative/algos

d280581d74ded382094283d931a202eb55fd8369

[ "CC0-1.0" ]

78

2015-11-17T11:46:15.000Z

2021-06-28T18:37:58.000Z

book/trees/binary_search_tree.py

rhivent/algo-books-python

c4fa29616ca9a8a15ba40fa12d21fd8f35096d40

[ "CC0-1.0" ]

66

2015-11-02T03:38:02.000Z

2022-03-05T17:36:26.000Z

# -*- coding: utf-8 -*- """ The `TreeNode` class provides many helper functions that make the work done in the `BinarySearchTree` class methods much easier. The constructor for a `TreeNode`, along with these helper functions, is shown below. As you can see, many of these helper functions help to classify a node acco...

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null

0

null

0

1

0

86c7d4acbb62e0447380b9c4c68ef07bbf5ead1b

28,677

py

Python

fire/core.py

adamruth/python-fire

6912ccd56f50e0f4bb30a0725d95858ef29f3bde

[ "Apache-2.0" ]

1

2020-02-05T04:43:03.000Z

fire/core.py

chesnjak/python-fire

72604f40314008e562ba47936dcc183b51166b72

[ "Apache-2.0" ]

null

fire/core.py

chesnjak/python-fire

72604f40314008e562ba47936dcc183b51166b72

[ "Apache-2.0" ]

1

2020-07-15T22:58:25.000Z

# Copyright (C) 2017 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

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null

0

null

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86c845d512d008bf07b10c93c9a059cfaa7474a0

1,668

py

Python

app.py

AmirValeev/auto-ml-classifier

e803fe92d1ec71e87509845ea61ecc46b363bae6

[ "Apache-2.0" ]

null

app.py

AmirValeev/auto-ml-classifier

e803fe92d1ec71e87509845ea61ecc46b363bae6

[ "Apache-2.0" ]

null

app.py

AmirValeev/auto-ml-classifier

e803fe92d1ec71e87509845ea61ecc46b363bae6

[ "Apache-2.0" ]

null

import os, ast import pandas as pd from sklearn.svm import SVC from sklearn.model_selection import train_test_split from sklearn.preprocessing import OneHotEncoder from sklearn.compose import make_column_transformer from sklearn.pipeline import make_pipeline import pickle def main(): # Get the dataset from the us...

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0

0.25

0

null

0

null

0

1

0

86c8b4810cb292d6be03cbb1ee7d68143bb6929f

512

py

Python

util/headers.py

giuseppe/quay

a1b7e4b51974edfe86f66788621011eef2667e6a

[ "Apache-2.0" ]

2,027

2019-11-12T18:05:48.000Z

2022-03-31T22:25:04.000Z

util/headers.py

giuseppe/quay

a1b7e4b51974edfe86f66788621011eef2667e6a

[ "Apache-2.0" ]

496

2019-11-12T18:13:37.000Z

2022-03-31T10:43:45.000Z

util/headers.py

giuseppe/quay

a1b7e4b51974edfe86f66788621011eef2667e6a

[ "Apache-2.0" ]

249

2019-11-12T18:02:27.000Z

2022-03-22T12:19:19.000Z

import base64 def parse_basic_auth(header_value): """ Attempts to parse the given header value as a Base64-encoded Basic auth header. """ if not header_value: return None parts = header_value.split(" ") if len(parts) != 2 or parts[0].lower() != "basic": return None try: ...

21.333333

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0

0.5

0

null

0

null

0

1

0

86ca3287dbcbbef744a382d06122c372e95e738d

3,294

py

Python

cinder/tests/unit/volume/drivers/emc/scaleio/test_delete_volume.py

aarunsai81/netapp

8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba

[ "Apache-2.0" ]

11

2015-08-25T13:11:18.000Z

2020-10-15T11:29:20.000Z

cinder/tests/unit/volume/drivers/emc/scaleio/test_delete_volume.py

aarunsai81/netapp

8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba

[ "Apache-2.0" ]

5

2018-01-25T11:31:56.000Z

2019-05-06T23:13:35.000Z

cinder/tests/unit/volume/drivers/emc/scaleio/test_delete_volume.py

aarunsai81/netapp

8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba

[ "Apache-2.0" ]

11

2015-02-20T18:48:24.000Z

2021-01-30T20:26:18.000Z

# Copyright (c) 2013 - 2015 EMC Corporation. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unle...

39.686747

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null

0

null

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1

0

86ca3cb4e460e6fa964047e9d8e3d1c032b0dafb

1,233

py

Python

example-package/transportation_tutorials/__init__.py

chrisc20042001/python-for-transportation-modeling

677129daa390fcaa6e5cde45960e27d9bd6ca4bf

[ "BSD-3-Clause" ]

null

example-package/transportation_tutorials/__init__.py

chrisc20042001/python-for-transportation-modeling

677129daa390fcaa6e5cde45960e27d9bd6ca4bf

[ "BSD-3-Clause" ]

null

example-package/transportation_tutorials/__init__.py

chrisc20042001/python-for-transportation-modeling

677129daa390fcaa6e5cde45960e27d9bd6ca4bf

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- __version__ = '1.0.2' import os import appdirs import osmnx as ox import joblib import requests from .files import load_vars, save_vars, cached, inflate_tar, download_zipfile from .data import data, list_data, problematic from .tools.view_code import show_file from . import mapping cache_dir ...

20.55

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null

0

null

0

1

0

86ca8c2e422d5ab12a80680e14af6535e5befd05

2,146

py

Python

common/common.py

czajowaty/curry-bot

91bfbd884342a02c6defd057d27d5b1fcd78cb21

[ "MIT" ]

3

2019-10-09T23:17:55.000Z

2022-02-01T17:34:27.000Z

common/common.py

czajowaty/curry-bot

91bfbd884342a02c6defd057d27d5b1fcd78cb21

[ "MIT" ]

19

2019-10-09T20:42:05.000Z

2022-02-01T08:22:25.000Z

common/common.py

czajowaty/curry-bot

91bfbd884342a02c6defd057d27d5b1fcd78cb21

[ "MIT" ]

6

2020-08-09T20:17:13.000Z

2022-01-27T23:59:28.000Z

from requests.models import PreparedRequest def is_valid_url(url): prepared_request = PreparedRequest() try: prepared_request.prepare_url(url, None) return True except Exception as e: return False class Timestamp: # a speedrun.com style timestamp e.g. "3h 53m 233s 380ms" def...

32.029851

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2,146

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0.036986

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0.350877

0

null

0

null

0

1

0

86cbceec04afe24550cbee582258380f822dc77d

5,265

py

Python

hendrix/test/test_ux.py

anthonyalmarza/hendrix

eebd2a2183cc18ec2267d96a53a70d41b1630ce6

[ "MIT" ]

null

hendrix/test/test_ux.py

anthonyalmarza/hendrix

eebd2a2183cc18ec2267d96a53a70d41b1630ce6

[ "MIT" ]

null

hendrix/test/test_ux.py

anthonyalmarza/hendrix

eebd2a2183cc18ec2267d96a53a70d41b1630ce6

[ "MIT" ]

null

import os import sys from . import HendrixTestCase, TEST_SETTINGS from hendrix.contrib import SettingsError from hendrix.options import options as hx_options from hendrix import ux from mock import patch class TestMain(HendrixTestCase): def setUp(self): super(TestMain, self).setUp() self.DEFAULTS...

35.816327

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0.039731

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0.329768

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0

null

0

null

0

1

0

86cc747c2e5f0caead634114a98e5f4a747d16ea

15,163

py

Python

local/local_sign.py

EVAyo/chaoxing_auto_sign

7ae91a5e9aa4d15f57a5419ff3f5a455e151930a

[ "MIT" ]

null

local/local_sign.py

EVAyo/chaoxing_auto_sign

7ae91a5e9aa4d15f57a5419ff3f5a455e151930a

[ "MIT" ]

null

local/local_sign.py

EVAyo/chaoxing_auto_sign

7ae91a5e9aa4d15f57a5419ff3f5a455e151930a

[ "MIT" ]

null

# -*- coding: utf8 -*- import os import re import time import json import random import asyncio from typing import Optional, List, Dict from aiohttp import ClientSession from aiohttp.cookiejar import SimpleCookie from lxml import etree from bs4 import BeautifulSoup from config import * from message import server_chan...

33.770601

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null

0

null

0

1

0

86ccfd65a1bb34c39113feed67502cda22587b34

4,240

py

Python

build/scripts-3.6/fit_background_model.py

stahlberggroup/umierrorcorrect

8ceabe30a87811dad467d04eb5a08d0213065946

[ "MIT" ]

null

build/scripts-3.6/fit_background_model.py

stahlberggroup/umierrorcorrect

8ceabe30a87811dad467d04eb5a08d0213065946

[ "MIT" ]

null

build/scripts-3.6/fit_background_model.py

stahlberggroup/umierrorcorrect

8ceabe30a87811dad467d04eb5a08d0213065946

[ "MIT" ]

1

2022-01-12T13:51:59.000Z

#!python import numpy as np from numpy import inf from numpy import nan from scipy.optimize import fmin from scipy.stats import beta from scipy.special import beta as B from scipy.special import comb import argparse import sys def parseArgs(): '''Function for parsing arguments''' parser = argparse.ArgumentPars...

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4,240

4.151675

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0.028887

0.018692

0.112999

0.039932

0

0.036208

0.283491

4,240

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0.738644

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0

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0

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0

0.1

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0.011111

0

null

0

null

0

1

0

86cdf766574c9c743ff631f5d4070feb9f763d2a

7,654

py

Python

caffe2/python/operator_test/partition_ops_test.py

KevinKecc/caffe2

a2b6c6e2f0686358a84277df65e9489fb7d9ddb2

[ "Apache-2.0" ]

585

2015-08-10T02:48:52.000Z

2021-12-01T08:46:59.000Z

caffe2/python/operator_test/partition_ops_test.py

mingzhe09088/caffe2

8f41717c46d214aaf62b53e5b3b9b308b5b8db91

[ "Apache-2.0" ]

27

2018-04-14T06:44:22.000Z

2018-08-01T18:02:39.000Z

caffe2/python/operator_test/partition_ops_test.py

mingzhe09088/caffe2

8f41717c46d214aaf62b53e5b3b9b308b5b8db91

[ "Apache-2.0" ]

183

2015-08-10T02:49:04.000Z

2021-12-01T08:47:13.000Z

# Copyright (c) 2016-present, Facebook, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...

38.852792

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86ce2b47e96edc2e4a65e6684b182564c236c3d3

11,195

py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_fib_common_cfg.py

Maikor/ydk-py

b86c4a7c570ae3b2c5557d098420446df5de4929

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_fib_common_cfg.py

Maikor/ydk-py

b86c4a7c570ae3b2c5557d098420446df5de4929

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_fib_common_cfg.py

Maikor/ydk-py

b86c4a7c570ae3b2c5557d098420446df5de4929

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

null

""" Cisco_IOS_XR_fib_common_cfg This module contains a collection of YANG definitions for Cisco IOS\-XR fib\-common package configuration. This module contains definitions for the following management objects\: fib\: CEF configuration Copyright (c) 2013\-2018 by Cisco Systems, Inc. All rights reserved. """ from ...

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null

0

null

0

1

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86ce2bcecdfa6edd6bc5db700d444829470b263a

2,888

py

Python

action/combo.py

dl-stuff/dl9

1cbe98afc53a1de9d413797fb130946acc4b6ba4

[ "MIT" ]

null

action/combo.py

dl-stuff/dl9

1cbe98afc53a1de9d413797fb130946acc4b6ba4

[ "MIT" ]

null

action/combo.py

dl-stuff/dl9

1cbe98afc53a1de9d413797fb130946acc4b6ba4

[ "MIT" ]

null

"""Series of actions that form a combo chain""" from __future__ import annotations from typing import Optional, Sequence, TYPE_CHECKING from action import Action from core.utility import Array from core.constants import PlayerForm, SimActKind, MomentType from core.database import FromDB if TYPE_CHECKING: from ent...

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py

Python

sktime/forecasting/base/adapters/_statsmodels.py

tombh/sktime

53df0b9ed9d1fd800539165c414cc5611bcc56b3

[ "BSD-3-Clause" ]

1

2020-06-02T22:24:44.000Z

sktime/forecasting/base/adapters/_statsmodels.py

abhishek-parashar/sktime

1dfce6b41c2acdb576acfc04b09d11bf115c92d1

[ "BSD-3-Clause" ]

1

2020-11-20T13:51:20.000Z

sktime/forecasting/base/adapters/_statsmodels.py

abhishek-parashar/sktime

1dfce6b41c2acdb576acfc04b09d11bf115c92d1

[ "BSD-3-Clause" ]

3

2020-10-18T04:54:30.000Z

2021-02-15T18:04:18.000Z

#!/usr/bin/env python3 -u # -*- coding: utf-8 -*- __author__ = ["Markus Löning"] __all__ = ["_StatsModelsAdapter"] import numpy as np import pandas as pd from sktime.forecasting.base._base import DEFAULT_ALPHA from sktime.forecasting.base._sktime import _OptionalForecastingHorizonMixin from sktime.forecasting.base._...

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py

Python

jupytext/kernels.py

st--/jupytext

f8e8352859cc22e17b11154d0770fd946c4a430a

[ "MIT" ]

5,378

2018-09-01T22:03:43.000Z

2022-03-31T06:51:42.000Z

jupytext/kernels.py

st--/jupytext

f8e8352859cc22e17b11154d0770fd946c4a430a

[ "MIT" ]

812

2018-08-31T08:26:13.000Z

2022-03-30T18:12:11.000Z

jupytext/kernels.py

st--/jupytext

f8e8352859cc22e17b11154d0770fd946c4a430a

[ "MIT" ]

380

2018-09-02T01:40:07.000Z

2022-03-25T13:57:23.000Z

"""Find kernel specifications for a given language""" import os import sys from .languages import same_language from .reraise import reraise try: # I prefer not to take a dependency on jupyter_client from jupyter_client.kernelspec import find_kernel_specs, get_kernel_spec except ImportError as err: find_...

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86d025f02ce51457ef476e760c051f7660045f69

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py

Python

scipy/sparse/_matrix_io.py

dhruv9vats/scipy

48e1dd7e604df3ae57d104b407c5b7a2a6a3247d

[ "BSD-3-Clause" ]

1

2021-08-16T09:32:42.000Z

scipy/sparse/_matrix_io.py

dhruv9vats/scipy

48e1dd7e604df3ae57d104b407c5b7a2a6a3247d

[ "BSD-3-Clause" ]

44

2019-06-27T15:56:14.000Z

2022-03-15T22:21:10.000Z

scipy/sparse/_matrix_io.py

dhruv9vats/scipy

48e1dd7e604df3ae57d104b407c5b7a2a6a3247d

[ "BSD-3-Clause" ]

4

2020-06-13T10:32:25.000Z

2021-12-03T15:48:16.000Z

import numpy as np import scipy.sparse __all__ = ['save_npz', 'load_npz'] # Make loading safe vs. malicious input PICKLE_KWARGS = dict(allow_pickle=False) def save_npz(file, matrix, compressed=True): """ Save a sparse matrix to a file using ``.npz`` format. Parameters ---------- file : str or file...

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86d07b07d670dc9caa0bd92708721764a364d527

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py

Python

src/simulator/services/resources/atlas.py

ed741/PathBench

50fe138eb1f824f49fe1a862705e435a1c3ec3ae

[ "BSD-3-Clause" ]

46

2020-12-25T04:09:15.000Z

2022-03-25T12:32:42.000Z

src/simulator/services/resources/atlas.py

ed741/PathBench

50fe138eb1f824f49fe1a862705e435a1c3ec3ae

[ "BSD-3-Clause" ]

36

2020-12-21T16:10:02.000Z

2022-01-03T01:42:01.000Z

src/simulator/services/resources/atlas.py

judicaelclair/PathBenchURO

101e67674efdfa8e27e1cf7787dac9fdf99552fe

[ "BSD-3-Clause" ]

11

2021-01-06T23:34:12.000Z

2022-03-21T17:21:47.000Z

from typing import Dict, List from simulator.services.resources.directory import Directory from simulator.services.services import Services class Atlas(Directory): def __init__(self, services: Services, name: str, parent: str, create: bool = False) -> None: super().__init__(services, name, parent, create...

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86d18fa6bf233db205e6db3a19952144dd79aa36

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py

Python

ingestion/src/metadata/great_expectations/builders/table/row_count_to_equal.py

ulixius9/OpenMetadata

f121698d968717f0932f685ef2a512c2a4d92438

[ "Apache-2.0" ]

null

ingestion/src/metadata/great_expectations/builders/table/row_count_to_equal.py

ulixius9/OpenMetadata

f121698d968717f0932f685ef2a512c2a4d92438

[ "Apache-2.0" ]

null

ingestion/src/metadata/great_expectations/builders/table/row_count_to_equal.py

ulixius9/OpenMetadata

f121698d968717f0932f685ef2a512c2a4d92438

[ "Apache-2.0" ]

null

# Copyright 2022 Collate # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software...

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86d22671738e4b0cf43566c5aeec7cd2a5f04193

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py

Python

tensorflow/bbox/jrieke-tf-parse-v2/jrieke_tf_dataset.py

gustavovaliati/obj-det-experiments

e81774a18b34c22d971ad15d7ac6eb8663ac6f22

[ "Apache-2.0" ]

null

tensorflow/bbox/jrieke-tf-parse-v2/jrieke_tf_dataset.py

gustavovaliati/obj-det-experiments

e81774a18b34c22d971ad15d7ac6eb8663ac6f22

[ "Apache-2.0" ]

null

tensorflow/bbox/jrieke-tf-parse-v2/jrieke_tf_dataset.py

gustavovaliati/obj-det-experiments

e81774a18b34c22d971ad15d7ac6eb8663ac6f22

[ "Apache-2.0" ]

null

''' This code is based on https://github.com/jrieke/shape-detection/ ''' import matplotlib.pyplot as plt import matplotlib import numpy as np import tensorflow as tf import datetime class JriekeBboxDataset: def generate(self): print('Generating...') self.WIDTH = 8 self.HEIGHT = 8 ...

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null

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86d45952adaab5e1d25729182d1ca80f64803a29

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py

Python

census_data_downloader/core/tables.py

ian-r-rose/census-data-downloader

f8ac9d773e6d3f52be87bf916a2e32249391f966

[ "MIT" ]

null

census_data_downloader/core/tables.py

ian-r-rose/census-data-downloader

f8ac9d773e6d3f52be87bf916a2e32249391f966

[ "MIT" ]

null

census_data_downloader/core/tables.py

ian-r-rose/census-data-downloader

f8ac9d773e6d3f52be87bf916a2e32249391f966

[ "MIT" ]

null

#! /usr/bin/env python # -*- coding: utf-8 -* """ A base class that governs how to download and process tables from a Census API table. """ import os import logging import pathlib from . import geotypes from . import decorators logger = logging.getLogger(__name__) class BaseTableConfig(object): """ Configures...

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86d61d512c3c9d47b1f63fe91873604a549e077d

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py

Python

sgf2ebook.py

loujine/sgf2ebook

13c87056646cc6c06485b129221ab2028e67ef95

[ "MIT" ]

null

sgf2ebook.py

loujine/sgf2ebook

13c87056646cc6c06485b129221ab2028e67ef95

[ "MIT" ]

null

sgf2ebook.py

loujine/sgf2ebook

13c87056646cc6c06485b129221ab2028e67ef95

[ "MIT" ]

null

#!/usr/bin/env python3 import argparse import os from pathlib import Path import shutil import subprocess import sys from tempfile import TemporaryDirectory from uuid import uuid4 from zipfile import ZipFile import jinja2 import sente # type: ignore __version__ = (1, 0, 0) SGF_RENDER_EXECUTABLE = './sgf-render' TE...

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null

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86d6728bc96a31ea175e93ab91aadcc559c13053

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py

Python

vmis_sql_python/evaluation/metrics/popularity.py

bolcom/serenade-experiments-sigmod

0a4c7f19d800d1c2784ea5536abb1a628cb12f7a

[ "Apache-2.0" ]

null

vmis_sql_python/evaluation/metrics/popularity.py

bolcom/serenade-experiments-sigmod

0a4c7f19d800d1c2784ea5536abb1a628cb12f7a

[ "Apache-2.0" ]

null

vmis_sql_python/evaluation/metrics/popularity.py

bolcom/serenade-experiments-sigmod

0a4c7f19d800d1c2784ea5536abb1a628cb12f7a

[ "Apache-2.0" ]

null

class Popularity: ''' Popularity( length=20 ) Used to iteratively calculate the average overall popularity of an algorithm's recommendations. Parameters ----------- length : int Coverage@length training_df : dataframe determines how many distinct item_ids there are in the ...

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null

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86d75a7478a79891b6baf0f18c7802c22b104725

918

py

Python

dandeliondiary/household/urls.py

amberdiehl/dandeliondiary_project

e9bace5bd7980def6ca763840ab5b38f1e05cd3d

[ "FSFAP" ]

null

dandeliondiary/household/urls.py

amberdiehl/dandeliondiary_project

e9bace5bd7980def6ca763840ab5b38f1e05cd3d

[ "FSFAP" ]

6

2020-04-29T23:54:15.000Z

2022-03-11T23:25:24.000Z

dandeliondiary/household/urls.py

amberdiehl/dandeliondiary_project

e9bace5bd7980def6ca763840ab5b38f1e05cd3d

[ "FSFAP" ]

null

from django.conf.urls import include, url from . import views urlpatterns = [ url(r'^settings$', views.household_dashboard, name='household_dashboard'), url(r'^myinfo$', views.my_info, name='my_info'), url(r'^profile$', views.household_profile, name='maintain_household'), url(r'^members$', views.househ...

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86d8ff6a04670083ea5d1c4de998cdc6916ada2c

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py

Python

q2_qemistree/tests/test_fingerprint.py

tgroth97/q2-qemistree

289c447a6c3a29478bb84212281ef0d7ffc1387a

[ "BSD-2-Clause" ]

null

q2_qemistree/tests/test_fingerprint.py

tgroth97/q2-qemistree

289c447a6c3a29478bb84212281ef0d7ffc1387a

[ "BSD-2-Clause" ]

null

q2_qemistree/tests/test_fingerprint.py

tgroth97/q2-qemistree

289c447a6c3a29478bb84212281ef0d7ffc1387a

[ "BSD-2-Clause" ]

null

# ---------------------------------------------------------------------------- # Copyright (c) 2016-2018, QIIME 2 development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ------------------------------------------------...

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86d90c692c5aa920f75d361edbf2de1c22109ec8

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py

Python

tempo/worker.py

rackerlabs/Tempo

60c2adaf5b592ae171987b999e0b9cc46b80c54e

[ "Apache-2.0" ]

4

2015-04-26T01:46:51.000Z

2020-11-10T13:07:59.000Z

tempo/worker.py

rackerlabs/Tempo

60c2adaf5b592ae171987b999e0b9cc46b80c54e

[ "Apache-2.0" ]

null

tempo/worker.py

rackerlabs/Tempo

60c2adaf5b592ae171987b999e0b9cc46b80c54e

[ "Apache-2.0" ]

null

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # # Copyright 2012 Rackspace # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licen...

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86d979010cd46ef001009b94be4cbd36b5242fa0

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py

Python

bin/basenji_motifs.py

AndyPJiang/basenji

64e43570c8bece156b4ab926608014f489b7965e

[ "Apache-2.0" ]

1

2020-05-22T20:53:37.000Z

bin/basenji_motifs.py

AndyPJiang/basenji

64e43570c8bece156b4ab926608014f489b7965e

[ "Apache-2.0" ]

null

bin/basenji_motifs.py

AndyPJiang/basenji

64e43570c8bece156b4ab926608014f489b7965e

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2017 Calico LLC # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # https://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agr...

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86db53b7a1cf34f8c926e78563b430e45842c3b8

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py

Python

apps/shop/urls.py

Joetib/jshop

810ce5dcf2cf2d23b45536dd0c8806efd3b7fc91

[ "MIT" ]

1

2021-09-29T18:48:00.000Z

apps/shop/urls.py

Joetib/jshop

810ce5dcf2cf2d23b45536dd0c8806efd3b7fc91

[ "MIT" ]

null

apps/shop/urls.py

Joetib/jshop

810ce5dcf2cf2d23b45536dd0c8806efd3b7fc91

[ "MIT" ]

null

from django.urls import path from . import views app_name = "shop" urlpatterns = [ path('', views.HomePage.as_view(), name="home-page"), path('shop/', views.ProductListView.as_view(), name="product-list"), path('shop/<int:category_pk>/', views.ProductListView.as_view(), name="product-list"), path('sho...

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86db5b39f7333cdce223e5a0be6e734eb216f5d2

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py

Python

surpyval/parametric/expo_weibull.py

dfm/SurPyval

014fba8f1d4a0f43218a3713ce80a78191ad8be9

[ "MIT" ]

null

surpyval/parametric/expo_weibull.py

dfm/SurPyval

014fba8f1d4a0f43218a3713ce80a78191ad8be9

[ "MIT" ]

null

surpyval/parametric/expo_weibull.py

dfm/SurPyval

014fba8f1d4a0f43218a3713ce80a78191ad8be9

[ "MIT" ]

null

import autograd.numpy as np from scipy.stats import uniform from autograd import jacobian from numpy import euler_gamma from scipy.special import gamma as gamma_func from scipy.special import ndtri as z from scipy import integrate from scipy.optimize import minimize from surpyval import parametric as para from surpyva...

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null

0

null

0

1

0

86db8d66e4f0f969e4dab6cb93ed65e00e44883f

3,292

py

Python

tests/test_base_table.py

stjordanis/datar

4e2b5db026ad35918954576badef9951928c0cb1

[ "MIT" ]

110

2021-03-09T04:10:40.000Z

2022-03-13T10:28:20.000Z

tests/test_base_table.py

sthagen/datar

1218a549e2f0547c7b5a824ca6d9adf1bf96ba46

[ "MIT" ]

54

2021-06-20T18:53:44.000Z

2022-03-29T22:13:07.000Z

tests/test_base_table.py

sthagen/datar

1218a549e2f0547c7b5a824ca6d9adf1bf96ba46

[ "MIT" ]

11

2021-06-18T03:03:14.000Z

2022-02-25T11:48:26.000Z

import pytest from datar import stats from datar.base import * from datar import f from datar.datasets import warpbreaks, state_division, state_region, airquality from .conftest import assert_iterable_equal def test_table(): # https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/table z = stats...

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null

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null

0

1

0

86dbc8be4491e9aac31a1a68443d62ca3e952415

1,922

py

Python

cqlengine/tests/statements/test_update_statement.py

dokai/cqlengine

a080aff3a73351d37126b14eef606061b445aa37

[ "BSD-3-Clause" ]

null

cqlengine/tests/statements/test_update_statement.py

dokai/cqlengine

a080aff3a73351d37126b14eef606061b445aa37

[ "BSD-3-Clause" ]

null

cqlengine/tests/statements/test_update_statement.py

dokai/cqlengine

a080aff3a73351d37126b14eef606061b445aa37

[ "BSD-3-Clause" ]

null

from unittest import TestCase from cqlengine.statements import UpdateStatement, WhereClause, AssignmentClause from cqlengine.operators import * class UpdateStatementTests(TestCase): def test_table_rendering(self): """ tests that fields are properly added to the select statement """ us = UpdateSta...

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null

0

1

0

86dd8cfba25399e11b5e6b0c69e97eec2cc7d779

1,590

py

Python

course-code/imooc-tf-mnist-flask/mnist/module.py

le3t/ko-repo

50eb0b4cadb9db9bf608a9e5d36376f38ff5cce5

[ "Apache-2.0" ]

30

2018-12-06T02:17:45.000Z

2021-04-07T09:03:36.000Z

course-code/imooc-tf-mnist-flask/mnist/module.py

Artister/tutorials-java

50eb0b4cadb9db9bf608a9e5d36376f38ff5cce5

[ "Apache-2.0" ]

3

2019-08-26T13:41:57.000Z

2019-08-26T13:44:21.000Z

course-code/imooc-tf-mnist-flask/mnist/module.py

Artister/tutorials-java

50eb0b4cadb9db9bf608a9e5d36376f38ff5cce5

[ "Apache-2.0" ]

20

2018-12-27T08:31:02.000Z

2020-12-03T08:35:28.000Z

import tensorflow as tf # y=ax+b linear model def regression(x): a = tf.Variable(tf.zeros([784, 10]), name="a") b = tf.Variable(tf.zeros([10]), name="b") y = tf.nn.softmax(tf.matmul(x, a) + b) return y, [a, b] # 定义卷积模型 def convolutional(x, keep_prob): def conv2d(x, w): return tf.nn.conv...

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null

0

null

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1

0

86e1dc1697df65dd8302b1c8457579ff83a8e10d

1,074

py

Python

faceai/gender.py

dlzdy/faceai

4b1e41d4c394c00da51533562b76306d86493f72

[ "MIT" ]

1

2021-05-18T07:31:14.000Z

faceai/gender.py

dlzdy/faceai

4b1e41d4c394c00da51533562b76306d86493f72

[ "MIT" ]

null

faceai/gender.py

dlzdy/faceai

4b1e41d4c394c00da51533562b76306d86493f72

[ "MIT" ]

null

#coding=utf-8 #性别识别 import cv2 from keras.models import load_model import numpy as np import chineseText img = cv2.imread("img/gather.png") face_classifier = cv2.CascadeClassifier( "d:\Python36\Lib\site-packages\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml" ) gray = cv2.cvtColor(img, cv2.CO...

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null

0

null

0

1

0

86e1dfa0c33f00a823a44b2f6b5cc3f12ae76c76

5,872

py

Python

csm_web/scheduler/tests/utils.py

mudit2103/csm_web

3b7fd9ca7269ad4cb57bf264cf62a620e02d3780

[ "MIT" ]

null

csm_web/scheduler/tests/utils.py

mudit2103/csm_web

3b7fd9ca7269ad4cb57bf264cf62a620e02d3780

[ "MIT" ]

null

csm_web/scheduler/tests/utils.py

mudit2103/csm_web

3b7fd9ca7269ad4cb57bf264cf62a620e02d3780

[ "MIT" ]

null

from django.test import TestCase from os import path from rest_framework import status from rest_framework.test import APIClient import random from scheduler.models import Profile from scheduler.factories import ( CourseFactory, SpacetimeFactory, UserFactory, ProfileFactory, SectionFactory, Att...

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0.009287

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false

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0.346939

0

null

0

null

0

1

0

86e1fd3bf7ee00e117356675760b13ae01e5890a

3,282

py

Python

coldtype/beziers.py

tallpauley/coldtype

c1811e1d3713ff9c3c804511d6cd607b1d802065

[ "Apache-2.0" ]

null

coldtype/beziers.py

tallpauley/coldtype

c1811e1d3713ff9c3c804511d6cd607b1d802065

[ "Apache-2.0" ]

null

coldtype/beziers.py

tallpauley/coldtype

c1811e1d3713ff9c3c804511d6cd607b1d802065

[ "Apache-2.0" ]

null

import math from fontTools.pens.recordingPen import RecordingPen, replayRecording from fontTools.misc.bezierTools import calcCubicArcLength, splitCubicAtT from coldtype.geometry import Rect, Point def raise_quadratic(start, a, b): c0 = start c1 = (c0[0] + (2/3)*(a[0] - c0[0]), c0[1] + (2/3)*(a[1] - c0[1])) ...

31.557692

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0.237624

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0.015605

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0.096229

0

0.04004

0.391225

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0.225806

0

null

0

null

0

1

0

86e21cfc54ba4f492a89adb3a5ddc21c8d452d78

3,930

py

Python

p1_navigation/train.py

nick0lay/deep-reinforcement-learning

5af4daca9850b4e12aec5d8b0dad87f1e22a1f98

[ "MIT" ]

null

p1_navigation/train.py

nick0lay/deep-reinforcement-learning

5af4daca9850b4e12aec5d8b0dad87f1e22a1f98

[ "MIT" ]

null

p1_navigation/train.py

nick0lay/deep-reinforcement-learning

5af4daca9850b4e12aec5d8b0dad87f1e22a1f98

[ "MIT" ]

null

""" Project for Udacity Danaodgree in Deep Reinforcement Learning This script train an agent to navigate (and collect bananas!) in a large, square world. A reward of +1 is provided for collecting a yellow banana, and a reward of -1 is provided for collecting a blue banana. Thus, the goal of your agent is to collect a...

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0.071374

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false

0

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0.071429

0

null

0

null

0

1

0

86e5087a507beef54f4930afdd98c56727fc0500

2,869

py

Python

models/model_factory.py

jac99/Egonn

075e00368a1676df741a35f42f6f38497da9d58f

[ "MIT" ]

9

2021-10-31T07:11:58.000Z

2022-03-29T14:06:49.000Z

models/model_factory.py

jac99/Egonn

075e00368a1676df741a35f42f6f38497da9d58f

[ "MIT" ]

null

models/model_factory.py

jac99/Egonn

075e00368a1676df741a35f42f6f38497da9d58f

[ "MIT" ]

3

2021-11-12T17:42:41.000Z

2022-03-11T00:41:47.000Z

# Warsaw University of Technology from layers.eca_block import ECABasicBlock from models.minkgl import MinkHead, MinkTrunk, MinkGL from models.minkloc import MinkLoc from third_party.minkloc3d.minkloc import MinkLoc3D from misc.utils import ModelParams def model_factory(model_params: ModelParams): in_channels ...

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false

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0.163636

0

null

0

null

0

1

0

86e596ecc94466fc1c8a56bb395c9ae7c14904e6

19,380

py

Python

mdns/Phidget22Python/Phidget22/Phidget.py

rabarar/phidget_docker

ceca56c86d27f291a4300a1257c02096862335ec

[ "MIT" ]

null

mdns/Phidget22Python/Phidget22/Phidget.py

rabarar/phidget_docker

ceca56c86d27f291a4300a1257c02096862335ec

[ "MIT" ]

null

mdns/Phidget22Python/Phidget22/Phidget.py

rabarar/phidget_docker

ceca56c86d27f291a4300a1257c02096862335ec

[ "MIT" ]

null

import sys import ctypes from Phidget22.PhidgetSupport import PhidgetSupport from Phidget22.Async import * from Phidget22.ChannelClass import ChannelClass from Phidget22.ChannelSubclass import ChannelSubclass from Phidget22.DeviceClass import DeviceClass from Phidget22.DeviceID import DeviceID from Phidget22.ErrorEvent...

26.083445

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19,380

6.250562

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0.05009

0.120475

0.584167

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0.297517

0.254192

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0.01436

0.144788

19,380

742

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0

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1

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false

0

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0.230769

0

null

0

null

0

1

0

86e5ef7ddc4f844bf23ef6fa4d846ed9f0547af6

1,826

py

Python

openprocurement/auctions/geb/tests/blanks/create.py

oleksiyVeretiuk/openprocurement.auctions.geb

2965b52bf8826b9a8f8870c9a4d2052f945f5799

[ "Apache-2.0" ]

null

openprocurement/auctions/geb/tests/blanks/create.py

oleksiyVeretiuk/openprocurement.auctions.geb

2965b52bf8826b9a8f8870c9a4d2052f945f5799

[ "Apache-2.0" ]

null

openprocurement/auctions/geb/tests/blanks/create.py

oleksiyVeretiuk/openprocurement.auctions.geb

2965b52bf8826b9a8f8870c9a4d2052f945f5799

[ "Apache-2.0" ]

null

def create_auction(self): expected_http_status = '201 Created' request_data = {"data": self.auction} entrypoint = '/auctions' response = self.app.post_json(entrypoint, request_data) self.assertEqual(response.status, expected_http_status) def create_auction_check_minNumberOfQualifiedBids(self): ...

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0

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null

0

null

0

1

0

86e649d303431093f68ab23ef3215809292e639b

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py

Python

tests/integration/test_celery.py

crossscreenmedia/scout_apm_python

5cd31bf21f5acd0be0df4f40ec0bd29ec050ec01

[ "MIT" ]

null

tests/integration/test_celery.py

crossscreenmedia/scout_apm_python

5cd31bf21f5acd0be0df4f40ec0bd29ec050ec01

[ "MIT" ]

null

tests/integration/test_celery.py

crossscreenmedia/scout_apm_python

5cd31bf21f5acd0be0df4f40ec0bd29ec050ec01

[ "MIT" ]

null

# coding=utf-8 from __future__ import absolute_import, division, print_function, unicode_literals from contextlib import contextmanager import celery import pytest from celery.signals import setup_logging import scout_apm.celery from scout_apm.api import Config # http://docs.celeryproject.org/en/latest/userguide/te...

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0

null

0

null

0

1

0

86e79f3939b52fb2b048dd2d47804d7ba195c64a

12,893

py

Python

quapy/model_selection.py

OneToolsCollection/HLT-ISTI-QuaPy

6a5c528154c2d6d38d9f3258e667727bf692fc8b

[ "BSD-3-Clause" ]

null

quapy/model_selection.py

OneToolsCollection/HLT-ISTI-QuaPy

6a5c528154c2d6d38d9f3258e667727bf692fc8b

[ "BSD-3-Clause" ]

null

quapy/model_selection.py

OneToolsCollection/HLT-ISTI-QuaPy

6a5c528154c2d6d38d9f3258e667727bf692fc8b

[ "BSD-3-Clause" ]

null

import itertools import signal from copy import deepcopy from typing import Union, Callable import numpy as np import quapy as qp from quapy.data.base import LabelledCollection from quapy.evaluation import artificial_prevalence_prediction, natural_prevalence_prediction, gen_prevalence_prediction from quapy.method.agg...

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0

null

0

null

0

1

0

86e7e28fd96ba38477835a4f1f9a0169efabb855

2,841

py

Python

python/day09/smoke_basin.py

aesdeef/advent-of-code-2021

4561bcf12ac03d360f5b28c48ef80134f97613b9

[ "MIT" ]

2

2021-12-03T06:18:27.000Z

2021-12-06T11:28:33.000Z

python/day09/smoke_basin.py

aesdeef/advent-of-code-2021

4561bcf12ac03d360f5b28c48ef80134f97613b9

[ "MIT" ]

null

python/day09/smoke_basin.py

aesdeef/advent-of-code-2021

4561bcf12ac03d360f5b28c48ef80134f97613b9

[ "MIT" ]

null

INPUT_FILE = "../../input/09.txt" Point = tuple[int, int] Heightmap = dict[Point, int] Basin = set[Point] def parse_input() -> Heightmap: """ Parses the input and returns a Heightmap """ with open(INPUT_FILE) as f: heights = [[int(x) for x in line.strip()] for line in f] heightmap: Heigh...

27.852941

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0

null

0

null

0

1

0

86e856cc4992e6f53fef41d1cfe0de4271ac6642

1,667

py

Python

playground.py

NHGmaniac/voctoconfig

55a803a5f9bc81b48eaa72ced1fddd402aa7a2e9

[ "MIT" ]

null

playground.py

NHGmaniac/voctoconfig

55a803a5f9bc81b48eaa72ced1fddd402aa7a2e9

[ "MIT" ]

null

playground.py

NHGmaniac/voctoconfig

55a803a5f9bc81b48eaa72ced1fddd402aa7a2e9

[ "MIT" ]

null

#!/usr/bin/env python3 import signal import logging import sys from gi.repository import GObject GObject.threads_init() import time from lib.args import Args from lib.loghandler import LogHandler import lib.connection as Connection def testCallback(args): log = logging.getLogger("Test") log.info(str(args...

24.514706

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0

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1,667

68

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0

0.27451

0

null

0

null

0

1

0

86e873cdab8920252696e3d917e54b578dd9f428

3,220

py

Python

tianshou/utils/logger/tensorboard.py

Aceticia/tianshou

6377dc5006ba1111adac42472447b9de4a021c2d

[ "MIT" ]

4,714

2018-04-16T22:52:05.000Z

2022-03-31T14:14:51.000Z

tianshou/utils/logger/tensorboard.py

Aceticia/tianshou

6377dc5006ba1111adac42472447b9de4a021c2d

[ "MIT" ]

529

2020-03-26T00:58:03.000Z

2022-03-31T01:59:14.000Z

tianshou/utils/logger/tensorboard.py

Aceticia/tianshou

6377dc5006ba1111adac42472447b9de4a021c2d

[ "MIT" ]

798

2018-05-26T23:34:07.000Z

2022-03-30T11:26:19.000Z

import warnings from typing import Any, Callable, Optional, Tuple from tensorboard.backend.event_processing import event_accumulator from torch.utils.tensorboard import SummaryWriter from tianshou.utils.logger.base import LOG_DATA_TYPE, BaseLogger class TensorboardLogger(BaseLogger): """A logger that relies on ...

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0

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86e8affd139b8a4dffaf5cdc66c6797adccdf84b

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py

Python

PythonAPI/pythonwrappers/jetfuel/gui/menu.py

InsightGit/JetfuelGameEngine

3ea0bf2fb5e09aadf304b7b5a16882d72336c408

[ "Apache-2.0" ]

4

2018-02-05T03:40:10.000Z

2021-06-18T16:22:13.000Z

PythonAPI/pythonwrappers/jetfuel/gui/menu.py

InsightGit/JetfuelGameEngine

3ea0bf2fb5e09aadf304b7b5a16882d72336c408

[ "Apache-2.0" ]

null

PythonAPI/pythonwrappers/jetfuel/gui/menu.py

InsightGit/JetfuelGameEngine

3ea0bf2fb5e09aadf304b7b5a16882d72336c408

[ "Apache-2.0" ]

null

# Jetfuel Game Engine- A SDL-based 2D game-engine # Copyright (C) 2018 InfernoStudios # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2...

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86ea235dbd8e630be7e48c8aa27ae5d388c7bc1d

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py

Python

latent_programmer/decomposition_transformer_attention/train.py

ParikhKadam/google-research

00a282388e389e09ce29109eb050491c96cfab85

[ "Apache-2.0" ]

2

2022-01-21T18:15:34.000Z

2022-01-25T15:21:34.000Z

latent_programmer/decomposition_transformer_attention/train.py

ParikhKadam/google-research

00a282388e389e09ce29109eb050491c96cfab85

[ "Apache-2.0" ]

110

2021-10-01T18:22:38.000Z

2021-12-27T22:08:31.000Z

latent_programmer/decomposition_transformer_attention/train.py

admariner/google-research

7cee4b22b925581d912e8d993625c180da2a5a4f

[ "Apache-2.0" ]

1

2022-02-10T10:43:10.000Z

# coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab...

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86ebf47f1f35ac5baec5295be6bb6feebf67dc9a

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py

Python

plot/profile_interpolation/plot_profile.py

ziyixi/SeisScripts

a484bc1747eae52b2441f0bfd47ac7e093150f1d

[ "MIT" ]

null

plot/profile_interpolation/plot_profile.py

ziyixi/SeisScripts

a484bc1747eae52b2441f0bfd47ac7e093150f1d

[ "MIT" ]

null

plot/profile_interpolation/plot_profile.py

ziyixi/SeisScripts

a484bc1747eae52b2441f0bfd47ac7e093150f1d

[ "MIT" ]

null

import matplotlib.pyplot as plt import numpy as np import pandas as pd import click import numba def prepare_data(data_pd, parameter): lon_set = set(data_pd["lon"]) lat_set = set(data_pd["lat"]) dep_set = set(data_pd["dep"]) lon_list = sorted(lon_set) lat_list = sorted(lat_set) dep_list = sor...

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367

py

Python

tests/test_heroku.py

edpaget/flask-appconfig

5264719ac9229339070b219a4358a3203ffd05b0

[ "MIT" ]

61

2015-01-28T21:19:11.000Z

2020-12-28T10:12:28.000Z

tests/test_heroku.py

edpaget/flask-appconfig

5264719ac9229339070b219a4358a3203ffd05b0

[ "MIT" ]

3

2016-01-25T00:09:55.000Z

2017-09-25T11:36:19.000Z

tests/test_heroku.py

edpaget/flask-appconfig

5264719ac9229339070b219a4358a3203ffd05b0

[ "MIT" ]

14

2015-07-22T12:58:06.000Z

2021-03-24T02:06:30.000Z

from flask import Flask from flask_appconfig import HerokuConfig def create_sample_app(): app = Flask('testapp') HerokuConfig(app) return app def test_herokupostgres(monkeypatch): monkeypatch.setenv('HEROKU_POSTGRESQL_ORANGE_URL', 'heroku-db-uri') app = create_sample_app() assert app.config...

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null

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86ec0f9bcbbfb50a7fe60cb1505775e1803a9dd4

396

py

Python

flask/util/logger.py

Dev-Jahn/cms

84ea115bdb865daff83d069502f6f0dd105fc4f0

[ "RSA-MD" ]

null

flask/util/logger.py

Dev-Jahn/cms

84ea115bdb865daff83d069502f6f0dd105fc4f0

[ "RSA-MD" ]

9

2021-01-05T07:48:28.000Z

2021-05-14T06:38:27.000Z

flask/util/logger.py

Dev-Jahn/cms

84ea115bdb865daff83d069502f6f0dd105fc4f0

[ "RSA-MD" ]

4

2021-01-05T06:46:09.000Z

2021-05-06T01:44:28.000Z

import logging """ Formatter """ formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d:%H:%M:%S') """ Set Flask logger """ logger = logging.getLogger('FLASK_LOG') logger.setLevel(logging.DEBUG) stream_log = logging.StreamHandler() stream_log.setFormatter(form...

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null

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86ecab271dab8a62fddc0d43582d82c9d0efb150

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py

Python

utils/backups/backup_psql.py

Krovatkin/NewsBlur

2a5b52984c9d29c864eb80e9c60c658b1f25f7c5

[ "MIT" ]

null

utils/backups/backup_psql.py

Krovatkin/NewsBlur

2a5b52984c9d29c864eb80e9c60c658b1f25f7c5

[ "MIT" ]

null

utils/backups/backup_psql.py

Krovatkin/NewsBlur

2a5b52984c9d29c864eb80e9c60c658b1f25f7c5

[ "MIT" ]

null

#!/usr/bin/python3 import os import sys import socket CURRENT_DIR = os.path.dirname(__file__) NEWSBLUR_DIR = ''.join([CURRENT_DIR, '/../../']) sys.path.insert(0, NEWSBLUR_DIR) os.environ['DJANGO_SETTINGS_MODULE'] = 'newsblur_web.settings' import threading class ProgressPercentage(object): def __init__(self, fil...

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null

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0

86ecdb5499de55821a90a7d456c0a5f3e2bbff3c

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py

Python

onap_tests/scenario/solution.py

Orange-OpenSource/xtesting-onap-tests

ce4237f49089a91c81f5fad552f78fec384fd504

[ "Apache-2.0" ]

null

onap_tests/scenario/solution.py

Orange-OpenSource/xtesting-onap-tests

ce4237f49089a91c81f5fad552f78fec384fd504

[ "Apache-2.0" ]

null

onap_tests/scenario/solution.py

Orange-OpenSource/xtesting-onap-tests

ce4237f49089a91c81f5fad552f78fec384fd504

[ "Apache-2.0" ]

2

2018-06-08T15:49:51.000Z

2021-06-22T10:06:30.000Z

#!/usr/bin/python # # This program and the accompanying materials # are made available under the terms of the Apache License, Version 2.0 # which accompanies this distribution, and is available at # # http://www.apache.org/licenses/LICENSE-2.0 # # pylint: disable=missing-docstring # pylint: disable=duplicate-c...

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0

null

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1

0

86ecf5f6a01c26c5389153d1137d146050eff0e3

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py

Python

tutorials/Controls4Docs/ControlEventsGraph.py

dominic-dev/pyformsd

23e31ceff2943bc0f7286d25dd14450a14b986af

[ "MIT" ]

null

tutorials/Controls4Docs/ControlEventsGraph.py

dominic-dev/pyformsd

23e31ceff2943bc0f7286d25dd14450a14b986af

[ "MIT" ]

null

tutorials/Controls4Docs/ControlEventsGraph.py

dominic-dev/pyformsd

23e31ceff2943bc0f7286d25dd14450a14b986af

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- __author__ = "Ricardo Ribeiro" __credits__ = ["Ricardo Ribeiro"] __license__ = "MIT" __version__ = "0.0" __maintainer__ = "Ricardo Ribeiro" __email__ = "ricardojvr@gmail.com" __status__ = "Development" from __init__ import * import random, time f...

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0

null

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1

0

86eee025668f1ba4e581d9197ce7264211e57bc7

3,704

py

Python

tempest/tests/lib/services/compute/test_security_group_default_rules_client.py

mail2nsrajesh/tempest

1a3b3dc50b418d3a15839830d7d1ff88c8c76cff

[ "Apache-2.0" ]

254

2015-01-05T19:22:52.000Z

2022-03-29T08:14:54.000Z

tempest/tests/lib/services/compute/test_security_group_default_rules_client.py

mail2nsrajesh/tempest

1a3b3dc50b418d3a15839830d7d1ff88c8c76cff

[ "Apache-2.0" ]

13

2015-03-02T15:53:04.000Z

2022-02-16T02:28:14.000Z

tempest/tests/lib/services/compute/test_security_group_default_rules_client.py

mail2nsrajesh/tempest

1a3b3dc50b418d3a15839830d7d1ff88c8c76cff

[ "Apache-2.0" ]

367

2015-01-07T15:05:39.000Z

2022-03-04T09:50:35.000Z

# Copyright 2015 NEC Corporation. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required ...

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null

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1

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86ef847c1cba2674adc29aa5bed41c18d23f595a

24,723

py

Python

memos/memos/models/Memo.py

iotexpert/docmgr

735c7bcbaeb73bc44efecffb175f268f2438ac3a

[ "MIT" ]

null

memos/memos/models/Memo.py

iotexpert/docmgr

735c7bcbaeb73bc44efecffb175f268f2438ac3a

[ "MIT" ]

null

memos/memos/models/Memo.py

iotexpert/docmgr

735c7bcbaeb73bc44efecffb175f268f2438ac3a

[ "MIT" ]

null

""" The model file for a Memo """ import re import os import shutil import json from datetime import datetime from flask import current_app from memos import db from memos.models.User import User from memos.models.MemoState import MemoState from memos.models.MemoFile import MemoFile from memos.models.MemoSignature i...

39.367834

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null

0

null

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1

0

86f07721893f6c50f28bc8f37736be7b92dba3a5

8,850

py

Python

juliaset/juliaset.py

PageotD/juliaset

7c1f98020eeff291fcf040cfcdf25a89e72f46a9

[ "BSD-3-Clause" ]

null

juliaset/juliaset.py

PageotD/juliaset

7c1f98020eeff291fcf040cfcdf25a89e72f46a9

[ "BSD-3-Clause" ]

null

juliaset/juliaset.py

PageotD/juliaset

7c1f98020eeff291fcf040cfcdf25a89e72f46a9

[ "BSD-3-Clause" ]

1

2021-08-09T06:45:43.000Z

import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm import random class JuliaSet: def __init__(self): """ Constructor of the JuliaSet class :param size: size in pixels (for both width and height) :param dpi: dots per inch (default 300) """ ...

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null

0

null

0

1

0

86f0877f437e0d2341e2d9c4fb9323bda9c076fe

1,212

py

Python

eye_detection.py

ShivanS93/VAtest_withOKN

8da76f4c3ff526c9e16268194accfdc6221b0a66

[ "MIT" ]

null

eye_detection.py

ShivanS93/VAtest_withOKN

8da76f4c3ff526c9e16268194accfdc6221b0a66

[ "MIT" ]

null

eye_detection.py

ShivanS93/VAtest_withOKN

8da76f4c3ff526c9e16268194accfdc6221b0a66

[ "MIT" ]

null

#!python3 # eye_detection.py - detect eyes using webcam # tutorial: https://www.roytuts.com/real-time-eye-detection-in-webcam-using-python-3/ import cv2 import math import numpy as np def main(): faceCascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml") eyeCascade = cv2.CascadeClassifier("haarc...

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0

null

0

null

0

1

0

86f19d8269d91051babd1a81669ee8409fe871bc

1,328

py

Python

demo/cnn_predict.py

huynhtnhut97/keras-video-classifier

3ea6a8d671f3bd3cc8eddef64ad75abc2a2d593a

[ "MIT" ]

108

2018-03-01T10:03:22.000Z

2022-03-27T03:00:30.000Z

demo/cnn_predict.py

drsagitn/lstm-video-classifier

3d1bce6773e493bdff5d623883d47ca68d45e890

[ "MIT" ]

18

2020-01-28T22:13:07.000Z

2022-03-11T23:54:10.000Z

demo/cnn_predict.py

drsagitn/lstm-video-classifier

3d1bce6773e493bdff5d623883d47ca68d45e890

[ "MIT" ]

56

2018-03-01T10:03:22.000Z

2022-02-23T08:19:10.000Z

import numpy as np from keras import backend as K import os import sys K.set_image_dim_ordering('tf') def patch_path(path): return os.path.join(os.path.dirname(__file__), path) def main(): sys.path.append(patch_path('..')) data_dir_path = patch_path('very_large_data') model_dir_path = patch_path('...

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0.035714

0

null

0

null

0

1

0

86f3e8f2399f57967d9da67546eaf7a9b7b31fb7

2,139

py

Python

backend/src/baserow/api/user/registries.py

ashishdhngr/baserow

b098678d2165eb7c42930ee24dc6753a3cb520c3

[ "MIT" ]

1

2022-01-24T15:12:02.000Z

backend/src/baserow/api/user/registries.py

rasata/baserow

c6e1d7842c53f801e1c96b49f1377da2a06afaa9

[ "MIT" ]

null

backend/src/baserow/api/user/registries.py

rasata/baserow

c6e1d7842c53f801e1c96b49f1377da2a06afaa9

[ "MIT" ]

null

from baserow.core.registry import Instance, Registry class UserDataType(Instance): """ The user data type can be used to inject an additional payload to the API JWT response. This is the response when a user authenticates or refreshes his token. The returned dict of the `get_user_data` method is added...

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0

0.5

0

null

0

null

0

1

0

86f4958fe557f64425c53fe4dff977306ba95b20

17,197

py

Python

Week 2/code.py

aklsh/EE2703

546b70c9adac4a4de294d83affbb74e480c2f65d

[ "MIT" ]

null

Week 2/code.py

aklsh/EE2703

546b70c9adac4a4de294d83affbb74e480c2f65d

[ "MIT" ]

null

Week 2/code.py

aklsh/EE2703

546b70c9adac4a4de294d83affbb74e480c2f65d

[ "MIT" ]

3

2020-07-15T08:02:05.000Z

2021-03-07T06:50:07.000Z

''' ------------------------------------- Assignment 2 - EE2703 (Jan-May 2020) Done by Akilesh Kannan (EE18B122) Created on 18/01/20 Last Modified on 04/02/20 ------------------------------------- ''' # importing necessary libraries import sys import cmath import numpy as np import pandas as pd # To improve reada...

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py

Python

Lib/Co.py

M507/Guessing-passwords-using-machine-learning

da90cfa30ce2e7a5e08ee528f594fa047ecea75c

[ "Apache-2.0" ]

6

2020-05-18T14:20:23.000Z

2021-04-23T16:31:34.000Z

Lib/Co.py

M507/Guessing-passwords-using-machine-learning

da90cfa30ce2e7a5e08ee528f594fa047ecea75c

[ "Apache-2.0" ]

null

Lib/Co.py

M507/Guessing-passwords-using-machine-learning

da90cfa30ce2e7a5e08ee528f594fa047ecea75c

[ "Apache-2.0" ]

1

2020-05-18T21:19:52.000Z

import subprocess import os.path """ Stylish input() """ def s_input(string): return input(string+">").strip("\n") """ Execute command locally """ def execute_command(command): if len(command) > 0: print(command) proc = subprocess.Popen(command.split(" "), stdout=subprocess.PIPE, cwd="/tmp")...

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86f661785147d1c962908ad8a5f0840e9e70661d

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py

Python

project3_code/part_0/main.py

rachelbrown347/CS294-26_code

72a20a9ab75345091d2a743b13857d7a88adf9be

[ "MIT" ]

1

2022-03-12T00:55:52.000Z

project3_code/part_0/main.py

rachelbrown347/CS294-26_code

72a20a9ab75345091d2a743b13857d7a88adf9be

[ "MIT" ]

null

project3_code/part_0/main.py

rachelbrown347/CS294-26_code

72a20a9ab75345091d2a743b13857d7a88adf9be

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt from skimage.exposure import rescale_intensity from unsharp import * # Load file and normalize to 0-1 fname = 'iguana.jpg' im = plt.imread(fname) if im.mean() >= 1: im = im/255. sigma = 5 amplitude = 1.5 imsharp = unsharp_mask(im, sigma, amplitude) imsharp = re...

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86f7e1041ab1f4accc4c1f71bcc457ad4e75b7b3

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py

Python

tools/lucid/engine.py

Petr-By/qtpyvis

0b9a151ee6b9a56b486c2bece9c1f03414629efc

[ "MIT" ]

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2017-10-04T14:51:26.000Z

2017-10-22T09:35:50.000Z

tools/lucid/engine.py

CogSciUOS/DeepLearningToolbox

bf07578b9486d8c48e25df357bc4b9963b513b46

[ "MIT" ]

13

2017-09-05T12:56:11.000Z

2017-11-22T10:38:27.000Z

tools/lucid/engine.py

CogSciUOS/DeepLearningToolbox

bf07578b9486d8c48e25df357bc4b9963b513b46

[ "MIT" ]

2

2017-09-24T21:39:42.000Z

2017-10-04T15:29:54.000Z

import logging logger = logging.getLogger(__name__) print(f"!!!!!!!!!! getEffectiveLevel: {logger.getEffectiveLevel()} !!!!!!!!!!!!!") from dltb.base.observer import Observable, change from network import Network, loader from network.lucid import Network as LucidNetwork # lucid.modelzoo.vision_models: # A module ...

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86f8485704c303133a8ffd7f513a5c4076214c94

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py

Python

synapse/storage/events.py

natamelo/synapse

3d870ecfc5353e455917166cb5c2bb8ba48a6ebd

[ "Apache-2.0" ]

null

synapse/storage/events.py

natamelo/synapse

3d870ecfc5353e455917166cb5c2bb8ba48a6ebd

[ "Apache-2.0" ]

null

synapse/storage/events.py

natamelo/synapse

3d870ecfc5353e455917166cb5c2bb8ba48a6ebd

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2014-2016 OpenMarket Ltd # Copyright 2018-2019 New Vector Ltd # Copyright 2019 The Matrix.org Foundation C.I.C. # # 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 Licens...

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86f92c20143e35ec634b684ad280aeb864a0957c

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py

Python

dev/buildtool/metrics.py

premm1983/Spinnaker

535f78b8f5402eea942c260cb9ca26682772a3e6

[ "Apache-2.0" ]

null

dev/buildtool/metrics.py

premm1983/Spinnaker

535f78b8f5402eea942c260cb9ca26682772a3e6

[ "Apache-2.0" ]

null

dev/buildtool/metrics.py

premm1983/Spinnaker

535f78b8f5402eea942c260cb9ca26682772a3e6

[ "Apache-2.0" ]

null

# Copyright 2017 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...

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86fafa9c771d30389c672ab69f2d0d2991d82592

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py

Python

fat/fat_bert_nq/ppr/apr_lib.py

kiss2u/google-research

2cd66234656f9e2f4218ed90a2d8aa9cf3139093

[ "Apache-2.0" ]

1

2020-05-27T15:40:17.000Z

fat/fat_bert_nq/ppr/apr_lib.py

kiss2u/google-research

2cd66234656f9e2f4218ed90a2d8aa9cf3139093

[ "Apache-2.0" ]

7

2021-08-25T16:15:53.000Z

2022-02-10T03:26:55.000Z

fat/fat_bert_nq/ppr/apr_lib.py

kiss2u/google-research

2cd66234656f9e2f4218ed90a2d8aa9cf3139093

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2020 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab...

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86fc7c6a00ab6863dd9ce69648b4b5568994e8af

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py

Python

src/optimal_gardening.py

evanlynch/optimal-gardening

447ca8575efac1ad5cdd975091f3cbb67721e167

[ "MIT" ]

null

src/optimal_gardening.py

evanlynch/optimal-gardening

447ca8575efac1ad5cdd975091f3cbb67721e167

[ "MIT" ]

null

src/optimal_gardening.py

evanlynch/optimal-gardening

447ca8575efac1ad5cdd975091f3cbb67721e167

[ "MIT" ]

null

import os import sys import time from IPython.display import Image import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sb sb.set_style("dark") #### Initial Setup #### #plant info plant_info = pd.read_csv('../data/plant_data.csv') plant_info.index.name = 'plant_index' plants = pla...

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86fca5740e3caf795c7b7090059ab5992cec0e59

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py

Python

adv_lib/utils/attack_utils.py

Daulbaev/adversarial-library

6f979a511ad78908374cd55855a9e2c5a874be7d

[ "BSD-3-Clause" ]

55

2020-11-25T10:47:48.000Z

2022-03-21T12:11:31.000Z

adv_lib/utils/attack_utils.py

Daulbaev/adversarial-library

6f979a511ad78908374cd55855a9e2c5a874be7d

[ "BSD-3-Clause" ]

4

2021-03-10T19:25:31.000Z

2021-08-06T00:10:49.000Z

adv_lib/utils/attack_utils.py

Daulbaev/adversarial-library

6f979a511ad78908374cd55855a9e2c5a874be7d

[ "BSD-3-Clause" ]

8

2020-11-26T08:42:04.000Z

2022-01-13T02:55:47.000Z

import warnings from collections import OrderedDict from distutils.version import LooseVersion from functools import partial from inspect import isclass from typing import Callable, Optional, Dict, Union import numpy as np import torch import tqdm from torch import Tensor, nn from torch.nn import functional as F from...

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86fd1a571a9b46918806e9e8e71337c7e3431481

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py

Python

thawSlumpChangeDet/polygons_compare.py

Summer0328/ChangeDet_DL-1

f2474ee4200d9ad093c0e5a27a94bfbd3bd038e7

[ "MIT" ]

3

2021-07-03T14:33:37.000Z

2021-08-03T20:35:32.000Z

thawSlumpChangeDet/polygons_compare.py

Summer0328/ChangeDet_DL-1

f2474ee4200d9ad093c0e5a27a94bfbd3bd038e7

[ "MIT" ]

null

thawSlumpChangeDet/polygons_compare.py

Summer0328/ChangeDet_DL-1

f2474ee4200d9ad093c0e5a27a94bfbd3bd038e7

[ "MIT" ]

2

2021-07-29T01:45:33.000Z

2021-08-10T09:13:58.000Z

#!/usr/bin/env python # Filename: polygons_cd """ introduction: compare two polygons in to shape file authors: Huang Lingcao email:huanglingcao@gmail.com add time: 26 February, 2020 """ import sys,os from optparse import OptionParser # added path of DeeplabforRS sys.path.insert(0, os.path.expanduser('~/codes/Pychar...

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86fdb0073cd3ede47fd363784958394b48bca5e1

919

py

Python

andela_labs/Car Class Lab (OOP)/car.py

brotich/andela_bootcamp_X

19fc5bb66d3c930d4e6b9afeb45abc00bbc4c2ea

[ "MIT" ]

null

andela_labs/Car Class Lab (OOP)/car.py

brotich/andela_bootcamp_X

19fc5bb66d3c930d4e6b9afeb45abc00bbc4c2ea

[ "MIT" ]

null

andela_labs/Car Class Lab (OOP)/car.py

brotich/andela_bootcamp_X

19fc5bb66d3c930d4e6b9afeb45abc00bbc4c2ea

[ "MIT" ]

null

class Car(object): """ Car class that can be used to instantiate various vehicles. It takes in arguments that depict the type, model, and name of the vehicle """ def __init__(self, name="General", model="GM", car_type="saloon"): num_of_wheels = 4 num_of_doors = 4 ...

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86ffc174e23653c3f067117004b1a24f8234310f

711

py

Python

basicapp/cron.py

shivamsinghal212/Url-Shortener

4127a993272744f6f8592415314c8e8514d43153

[ "MIT" ]

null

basicapp/cron.py

shivamsinghal212/Url-Shortener

4127a993272744f6f8592415314c8e8514d43153

[ "MIT" ]

8

2020-06-05T18:23:15.000Z

2022-03-11T23:23:57.000Z

basicapp/cron.py

shivamsinghal212/Url-Shortener

4127a993272744f6f8592415314c8e8514d43153

[ "MIT" ]

null

from django_cron import CronJobBase, Schedule from .models import Link from django.utils import timezone class MyCronJob(CronJobBase): RUN_EVERY_MINS = 1 # every 2 hours schedule = Schedule(run_every_mins=RUN_EVERY_MINS) code = 'basicapp.cron' # a unique code def do(self): current_time = t...

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