xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

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Python

setup.py

goosechooser/file-manip-toolkit

2a1a14b3e53b63ae2224e62d1a2184249e4af440

[ "MIT" ]

null

setup.py

goosechooser/file-manip-toolkit

2a1a14b3e53b63ae2224e62d1a2184249e4af440

[ "MIT" ]

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2017-04-05T08:08:42.000Z

2017-04-05T09:58:10.000Z

setup.py

goosechooser/file-manip-toolkit

2a1a14b3e53b63ae2224e62d1a2184249e4af440

[ "MIT" ]

null

from setuptools import setup, find_packages with open('README.md') as f: readme = f.read() with open('LICENSE') as f: license = f.read() setup( name='file-manip-toolkit', version='1.1', description='collection of tools for low level binary manipulations of files', long_description=readme, ...

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Python

src/pyfinlab/backtesting.py

vishalbelsare/pyfinlab

63c0d3f639e4cdae19096a2069967fdf7f66d8ab

[ "BSD-3-Clause" ]

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2021-07-19T21:08:26.000Z

2021-12-04T22:10:01.000Z

src/pyfinlab/backtesting.py

vishalbelsare/pyfinlab

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[ "BSD-3-Clause" ]

null

src/pyfinlab/backtesting.py

vishalbelsare/pyfinlab

63c0d3f639e4cdae19096a2069967fdf7f66d8ab

[ "BSD-3-Clause" ]

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2021-07-19T21:08:37.000Z

2021-10-05T19:34:30.000Z

import bt import pandas as pd import numpy as np import matplotlib.pyplot as plt from datetime import datetime from pyfinlab import data_api as api """ These functions backtest the efficient frontier portfolios. """ class OrderedWeights(bt.Algo): def __init__(self, weights): self.target_weights = weights...

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Python

sent/sentiment.py

RA-VI-RUS/senti

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[ "MIT" ]

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2016-03-25T01:57:41.000Z

sent/sentiment.py

RA-VI-RUS/senti

bccfdfe7033be263d34258b44f6527c39d857719

[ "MIT" ]

null

sent/sentiment.py

RA-VI-RUS/senti

bccfdfe7033be263d34258b44f6527c39d857719

[ "MIT" ]

null

""" Sentiment prediction module """ import nltk import numpy as np from cPickle import load def get_word_index_array(words, word2index): u""" Transform the words into list of int(word index) Note: Unknown words are dropped >>> words = [u"I", u"love", u"you", u"RANDOM STUFF"] >>> word2ind...

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py

Python

scripts/results-processing/generate_cmc_curves.py

Dou-Yu-xuan/pykinship

f81f6667fa08a08fe726736d05476168b2a3e2f0

[ "MIT" ]

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2020-02-19T02:50:49.000Z

2022-03-31T19:39:35.000Z

scripts/results-processing/generate_cmc_curves.py

Dou-Yu-xuan/pykinship

f81f6667fa08a08fe726736d05476168b2a3e2f0

[ "MIT" ]

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2020-03-23T00:07:28.000Z

2022-03-28T10:02:16.000Z

scripts/results-processing/generate_cmc_curves.py

Dou-Yu-xuan/pykinship

f81f6667fa08a08fe726736d05476168b2a3e2f0

[ "MIT" ]

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2020-02-11T19:07:08.000Z

2020-11-04T18:48:00.000Z

from pathlib import Path import numpy as np import pandas as pd import torch from matplotlib import pyplot as plt from src.tools.metrics import evaluate def load_dataframes(din, wildcard="*fusion*.csv"): data = {} for f in din.glob(wildcard): print(f) ref = "-".join(f.with_name("").name.spli...

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Python

calendarium/templatetags/calendarium_tags.py

Reston/django-calendarium

7b12b1d6845002378bcd18d91f8ce9c46ef6c9d8

[ "MIT" ]

null

calendarium/templatetags/calendarium_tags.py

Reston/django-calendarium

7b12b1d6845002378bcd18d91f8ce9c46ef6c9d8

[ "MIT" ]

null

calendarium/templatetags/calendarium_tags.py

Reston/django-calendarium

7b12b1d6845002378bcd18d91f8ce9c46ef6c9d8

[ "MIT" ]

1

2019-02-21T16:47:58.000Z

"""Templatetags for the ``calendarium`` project.""" try: from django.core.urlresolvers import reverse except ImportError: # >= django 2.0 from django.urls import reverse from django import template from django.utils.timezone import datetime, now, timedelta, utc from ..models import Event, EventCategory regis...

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Python

objectModel/Python/tests/cdm/resolution_guidance/common_test.py

CBA-Consult/CDM

892bceac7a15167c85342cc1c61d7ecdf5f1b78d

[ "CC-BY-4.0", "MIT" ]

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2020-10-17T14:07:55.000Z

objectModel/Python/tests/cdm/resolution_guidance/common_test.py

CBA-Consult/CDM

892bceac7a15167c85342cc1c61d7ecdf5f1b78d

[ "CC-BY-4.0", "MIT" ]

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2021-07-05T15:32:15.000Z

2022-01-04T16:51:11.000Z

objectModel/Python/tests/cdm/resolution_guidance/common_test.py

lukeenterprise/CDM

96c1da8b4bafe132eaee7243d9b7c6e42e87fc18

[ "CC-BY-4.0", "MIT" ]

1

2021-09-24T16:51:04.000Z

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. import os import unittest from typing import TYPE_CHECKING from cdm.enums import CdmStatusLevel from cdm.objectmodel import CdmCorpusDefinition from cdm.storage im...

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Python

research/cv/PGAN/src/optimizer.py

leelige/mindspore

5199e05ba3888963473f2b07da3f7bca5b9ef6dc

[ "Apache-2.0" ]

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research/cv/PGAN/src/optimizer.py

leelige/mindspore

5199e05ba3888963473f2b07da3f7bca5b9ef6dc

[ "Apache-2.0" ]

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2021-10-30T14:44:57.000Z

2022-02-14T06:57:57.000Z

research/cv/PGAN/src/optimizer.py

leelige/mindspore

5199e05ba3888963473f2b07da3f7bca5b9ef6dc

[ "Apache-2.0" ]

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2021-10-15T08:32:45.000Z

2022-03-24T18:45:20.000Z

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

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py

Python

lda-training.py

Bekyilma/Personalized-Visual-Art-Recommendation

60049ffe20302c6f510dff1dc297848e2208ec94

[ "MIT" ]

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2020-11-30T13:34:53.000Z

2022-01-30T16:45:34.000Z

lda-training.py

Bekyilma/Personalized-Visual-Art-Recommendation

60049ffe20302c6f510dff1dc297848e2208ec94

[ "MIT" ]

null

lda-training.py

Bekyilma/Personalized-Visual-Art-Recommendation

60049ffe20302c6f510dff1dc297848e2208ec94

[ "MIT" ]

2

2020-11-30T05:38:15.000Z

2021-08-30T20:38:57.000Z

import pandas as pd import numpy as np from gensim.models.wrappers import LdaMallet from sklearn.metrics.pairwise import cosine_similarity from gensim.corpora import Dictionary from gensim import corpora import pickle import os """This class trains the Latent Dirichlet Allocation (LDA) Model on painting descripti...

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py

Python

scripts/convert_logos.py

TechLoaf/ServerMappings

bf3a00533514c3d684a039e797debaa4432bff8f

[ "MIT" ]

37

2021-11-10T22:34:26.000Z

2022-03-28T21:21:06.000Z

scripts/convert_logos.py

TechLoaf/ServerMappings

bf3a00533514c3d684a039e797debaa4432bff8f

[ "MIT" ]

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2021-11-15T05:54:09.000Z

2022-03-30T15:19:21.000Z

scripts/convert_logos.py

TechLoaf/ServerMappings

bf3a00533514c3d684a039e797debaa4432bff8f

[ "MIT" ]

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2021-11-12T04:22:34.000Z

2022-03-31T09:46:04.000Z

import os import argparse import json import webptools # Grant permissions to Webptools webptools.grant_permission() def main(): parser = argparse.ArgumentParser() parser.add_argument('--servers', required=True, type=str) parser.add_argument('--servers_logos_source', required=True, type=str) parser.ad...

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__init__.py

raulbarbosa1996/CreateService

61a5419819274d4c1c461b2e93ddbc34d5398112

[ "Apache-2.0" ]

null

__init__.py

raulbarbosa1996/CreateService

61a5419819274d4c1c461b2e93ddbc34d5398112

[ "Apache-2.0" ]

null

__init__.py

raulbarbosa1996/CreateService

61a5419819274d4c1c461b2e93ddbc34d5398112

[ "Apache-2.0" ]

null

from mycroft import MycroftSkill, intent_file_handler from mycroft.skills.context import adds_context, removes_context from mycroft import intent_handler from adapt.intent import IntentBuilder import json import requests import base64 class Createservice(MycroftSkill): def __init__(self): MycroftSkill._...

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py

Python

Public/utils.py

zouning68/ner-demo

ffdbf95fd0354766bd2f882ecb02d55a9b14b74d

[ "Apache-2.0" ]

2

2020-12-27T06:17:28.000Z

2020-12-27T06:17:33.000Z

Public/utils.py

zouning68/ner-demo

ffdbf95fd0354766bd2f882ecb02d55a9b14b74d

[ "Apache-2.0" ]

null

Public/utils.py

zouning68/ner-demo

ffdbf95fd0354766bd2f882ecb02d55a9b14b74d

[ "Apache-2.0" ]

null

import logging import keras import os from Public.path import path_log_dir def create_log(path, stream=False): """ 获取日志对象 :param path: 日志文件路径 :param stream: 是否输出控制台 False: 不输出到控制台 True: 输出控制台，默认为输出到控制台 :return:日志对象 """ logger = logging.getLogger() logger...

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Python

appengine/findit/waterfall/trigger_base_swarming_task_pipeline.py

mithro/chromium-infra

d27ac0b230bedae4bc968515b02927cf9e17c2b7

[ "BSD-3-Clause" ]

null

appengine/findit/waterfall/trigger_base_swarming_task_pipeline.py

mithro/chromium-infra

d27ac0b230bedae4bc968515b02927cf9e17c2b7

[ "BSD-3-Clause" ]

null

appengine/findit/waterfall/trigger_base_swarming_task_pipeline.py

mithro/chromium-infra

d27ac0b230bedae4bc968515b02927cf9e17c2b7

[ "BSD-3-Clause" ]

null

# Copyright 2016 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 copy import logging import time from common.pipeline_wrapper import BasePipeline from gae_libs.http.http_client_appengine import HttpClientAppengine ...

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Python

pipeline.py

AngelFA04/newspapers_pipeline_scraping

283cf7fdea283ad17a5db419bdd271ab1504feae

[ "MIT" ]

null

pipeline.py

AngelFA04/newspapers_pipeline_scraping

283cf7fdea283ad17a5db419bdd271ab1504feae

[ "MIT" ]

null

pipeline.py

AngelFA04/newspapers_pipeline_scraping

283cf7fdea283ad17a5db419bdd271ab1504feae

[ "MIT" ]

null

import logging logging.basicConfig(level=logging.INFO) import subprocess import os import shutil import re from extract.common import config_dict as config logger = logging.getLogger(__name__) #List of all the news websites stored in extract/config.yaml news_sites_uids = [site for site in config()['new...

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setup.py

newnativeabq/mendeley-python-sdk

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[ "Apache-2.0" ]

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2015-01-12T00:40:51.000Z

2022-03-29T07:02:06.000Z

setup.py

mnpopcenter/mendeley-python-sdk

bffd2ed5945a47f67be54049b1bac812a4bc7dfc

[ "Apache-2.0" ]

26

2015-01-10T04:08:41.000Z

2021-02-05T16:31:37.000Z

setup.py

mnpopcenter/mendeley-python-sdk

bffd2ed5945a47f67be54049b1bac812a4bc7dfc

[ "Apache-2.0" ]

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2015-03-04T18:11:06.000Z

2022-03-13T02:33:34.000Z

from setuptools import setup __version__ = None with open('mendeley/version.py') as f: exec(f.read()) setup( name='mendeley', version=__version__, packages=['mendeley', 'mendeley.models', 'mendeley.resources'], url='http://dev.mendeley.com', license='Apache', author='Mendeley', author_...

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Python

Chapter-11/collections/ansible_collections/kubernetes/core/plugins/module_utils/copy.py

PacktPublishing/Ansible-for-Real-life-Automation

35c0d92ea08a5dbf3bea749e1971cffabd5e6de4

[ "MIT" ]

7

2021-11-16T04:05:42.000Z

2022-02-19T21:14:29.000Z

Chapter-11/collections/ansible_collections/kubernetes/core/plugins/module_utils/copy.py

PacktPublishing/Ansible-for-Real-life-Automation

35c0d92ea08a5dbf3bea749e1971cffabd5e6de4

[ "MIT" ]

1

2022-03-12T02:25:26.000Z

Chapter-11/collections/ansible_collections/kubernetes/core/plugins/module_utils/copy.py

PacktPublishing/Ansible-for-Real-life-Automation

35c0d92ea08a5dbf3bea749e1971cffabd5e6de4

[ "MIT" ]

1

2022-03-01T05:43:07.000Z

# Copyright [2021] [Red Hat, 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 writ...

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null

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1

0

6d0d8400dda85593833348d99b940ce42c8b67f1

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py

Python

src/mist/api/networks/models.py

cc-daveloper/mist.io_mist.api

d3f9b8d478f23bf811c0bc6d3078e512aa975f86

[ "Apache-2.0" ]

1

2019-04-10T11:37:25.000Z

src/mist/api/networks/models.py

d-mo/mist.api

d3f9b8d478f23bf811c0bc6d3078e512aa975f86

[ "Apache-2.0" ]

3

2021-04-07T23:15:17.000Z

2021-09-23T23:21:45.000Z

src/mist/api/networks/models.py

cc-daveloper/mist.io_mist.api

d3f9b8d478f23bf811c0bc6d3078e512aa975f86

[ "Apache-2.0" ]

null

import re import uuid import netaddr import mongoengine as me from mist.api.exceptions import RequiredParameterMissingError from mist.api.clouds.models import Cloud from mist.api.clouds.models import CLOUDS from mist.api.networks.controllers import SubnetController from mist.api.networks.controllers import NetworkCo...

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null

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0

6d0e0a77100ddff32d6eea302bdb6b7fa790b104

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py

Python

test/std/database_test.py

cybergarage/uecho-py

6b0dc72b9c3770d79b812bad75ea201c820b089a

[ "Apache-2.0" ]

null

test/std/database_test.py

cybergarage/uecho-py

6b0dc72b9c3770d79b812bad75ea201c820b089a

[ "Apache-2.0" ]

null

test/std/database_test.py

cybergarage/uecho-py

6b0dc72b9c3770d79b812bad75ea201c820b089a

[ "Apache-2.0" ]

null

# Copyright (C) 2021 Satoshi Konno. 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...

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0.104167

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null

0

null

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1

0

6d1132aa2e29241cd896c2e57d8bd511396c582a

1,207

py

Python

ml-agents/mlagents/trainers/tests/torch/test_layers.py

J-Travnik/ml-agents

c392380ab32bd762536a83501483dd5e7d1898c8

[ "Apache-2.0" ]

null

ml-agents/mlagents/trainers/tests/torch/test_layers.py

J-Travnik/ml-agents

c392380ab32bd762536a83501483dd5e7d1898c8

[ "Apache-2.0" ]

null

ml-agents/mlagents/trainers/tests/torch/test_layers.py

J-Travnik/ml-agents

c392380ab32bd762536a83501483dd5e7d1898c8

[ "Apache-2.0" ]

null

import torch from mlagents.trainers.torch.layers import ( Swish, linear_layer, lstm_layer, Initialization, ) def test_swish(): layer = Swish() input_tensor = torch.Tensor([[1, 2, 3], [4, 5, 6]]) target_tensor = torch.mul(input_tensor, torch.sigmoid(input_tensor)) assert torch.all(torc...

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null

0

null

0

1

0

6d12b9597693069db63e21ca3c42a4f99c2c9aa0

11,562

py

Python

discordbot.py

ootomo2680/discordpy-startup

4df5f728a2b2338ac2a4a146b22787c87b4b9aae

[ "MIT" ]

null

discordbot.py

ootomo2680/discordpy-startup

4df5f728a2b2338ac2a4a146b22787c87b4b9aae

[ "MIT" ]

null

discordbot.py

ootomo2680/discordpy-startup

4df5f728a2b2338ac2a4a146b22787c87b4b9aae

[ "MIT" ]

null

import discord from discord.ext import commands import os import random import cv2 import numpy as np import re import pandas as pd import codecs as cd token = "Njg1MTgxMTU3NTc0MzExOTc0.XmE6rg.5Gyfl0WZSsVa8UEw14qmLinQpyg" prefix = '$' client = discord.Client() ''' df0 = pd.read_csv('0.csv') df0 = pd.read_csv('0.csv') ...

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0

null

0

null

0

1

0

6d16d0a9149a82836ebda93b94a662f0aa549423

1,488

py

Python

process_msg.py

oudoubleyang/Dragalia

01e327aed55bdf585b573862c63d013860b32444

[ "MIT" ]

1

2019-07-04T06:40:56.000Z

process_msg.py

oudoubleyang/Dragalia

01e327aed55bdf585b573862c63d013860b32444

[ "MIT" ]

1

2020-01-01T19:04:56.000Z

2020-01-01T19:04:58.000Z

process_msg.py

oudoubleyang/Dragalia

01e327aed55bdf585b573862c63d013860b32444

[ "MIT" ]

null

from session import dra from info import self_id special_ids = [ 100, 1000, 10000, 100000, 1000000 ] for i in special_ids.copy(): for j in range(1, 10): special_ids.append(i*j) special_ids.extend([114514, 1919, 810, 1919810]) done = ['好了', '可以'] thanks = ['\u8C22', '\u5C04'] extension = { 'image...

24

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0.074116

0.068415

0.286203

0.236032

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0

0.049774

0.257392

1,488

61

91

24.393443

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0

0.163265

0

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0

1

0.061224

false

0

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0

0.22449

0

null

0

null

0

1

0

6d1aa146a37c0c8ebc3fe202336c4bbf48972e99

8,086

py

Python

vframe/vframe/settings/vframe_cfg.py

kant/vframe

28e49ca62d9036a78a25b26eb0fb7e3cf8c79031

[ "MIT" ]

1

2021-04-18T10:42:10.000Z

vframe/vframe/settings/vframe_cfg.py

vframeio/_vframe_v0_archived

28e49ca62d9036a78a25b26eb0fb7e3cf8c79031

[ "MIT" ]

null

vframe/vframe/settings/vframe_cfg.py

vframeio/_vframe_v0_archived

28e49ca62d9036a78a25b26eb0fb7e3cf8c79031

[ "MIT" ]

null

import os from os.path import join import logging import collections import cv2 as cv from vframe.settings import types from vframe.models.video_item import VideoQuality from vframe.utils import click_utils # ----------------------------------------------------------------------------- # Enun lists used for custom ...

41.045685

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5.447219

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0

0.014253

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0

0.073395

0

null

0

null

0

1

0

6d1f4b2c6fa4351760dc466834cf6bd3fbffaa60

10,040

py

Python

project/firewall/mainFirewall.py

flyflyinit/GUI-admin-tool

1fa97393ee2a39a65f5b7bbe95eb5b5f04bc6ad6

[ "MIT" ]

3

2020-06-15T18:57:41.000Z

2020-09-28T14:30:36.000Z

project/firewall/mainFirewall.py

flyflyinit/GUI-admin-tool

1fa97393ee2a39a65f5b7bbe95eb5b5f04bc6ad6

[ "MIT" ]

null

project/firewall/mainFirewall.py

flyflyinit/GUI-admin-tool

1fa97393ee2a39a65f5b7bbe95eb5b5f04bc6ad6

[ "MIT" ]

1

2020-06-06T23:34:16.000Z

import qtmodern.styles import qtmodern.windows from project.firewall.configFirewall import CreateFwWindow, EditFwWindow, DeleteFwWindow from project.firewall.firewallScripts import firewallGlobalInfo, setDefaultZone, defaultZone from project.firewall.tableFirewall import * from PyQt5 import QtCore from PyQt5.QtWidgets...

36.245487

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10,040

6.078827

0.183318

0.037394

0.004524

0.022618

0.45763

0.40576

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0.358866

0.335344

0.322678

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10,040

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0

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0

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0

0.130435

0

null

0

null

0

1

0

6d20163867ce78900f3085c931841cc9a71d2294

20,397

py

Python

piCamMovecpu.py

pootle/piCameraWeb

3422a21ed62d0a231d6d26bd5c59914f57ebe1a6

[ "Unlicense" ]

1

2019-05-04T10:34:23.000Z

piCamMovecpu.py

pootle/piCameraWeb

3422a21ed62d0a231d6d26bd5c59914f57ebe1a6

[ "Unlicense" ]

1

2019-04-01T08:16:05.000Z

piCamMovecpu.py

pootle/piCameraWeb

3422a21ed62d0a231d6d26bd5c59914f57ebe1a6

[ "Unlicense" ]

null

#!/usr/bin/python3 import threading, queue, time import picamera.array as picamarray, numpy, pathlib import numpy.ma as nma import png, io from pootlestuff import watchables as wv class piCamCPU(wv.watchablesmart): """ a base class for things that want to analyse images in detail for movement detection, expos...

49.149398

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0.0447

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0

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20,397

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0

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0

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1

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false

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0

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0.016287

0

null

0

null

0

1

0

6d220e80a6442156d54665ed445cceb1c31a96d2

6,950

py

Python

IslanderDataPreprocessing/datacorrelation.py

Islanderrobotics/IslanderDataPreprocessing

a8de863fe0d7d855da7d51c3e06c6fd7360ae9b2

[ "MIT" ]

null

IslanderDataPreprocessing/datacorrelation.py

Islanderrobotics/IslanderDataPreprocessing

a8de863fe0d7d855da7d51c3e06c6fd7360ae9b2

[ "MIT" ]

null

IslanderDataPreprocessing/datacorrelation.py

Islanderrobotics/IslanderDataPreprocessing

a8de863fe0d7d855da7d51c3e06c6fd7360ae9b2

[ "MIT" ]

null

from pandas.plotting import scatter_matrix import matplotlib.pyplot as plt from PyQt5 import QtWidgets import sys from .DataVisulization import DataVisulization class DataCorrelation: '''this module allows you to be able to view the correlation values of your dataset allowing you the ability to prevent simple ...

44.551282

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0.543453

832

6,950

4.497596

0.207933

0.04062

0.035275

0.037413

0.415019

0.361304

0.343666

0.306788

0

0.003887

0.370647

6,950

155

140

44.83871

0.851623

0.146906

0

0.344

0

0.215979

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0

1

0.056

false

0.008

0.04

0

0.136

0.104

0

null

0

null

0

1

0

6d235624dd54cd2de5b4269e1d88562233f30c47

3,460

py

Python

data/process_data.py

Lydiafz/Udacity_DisasterPipeline

5673530e187c679c87569e826c131c256d0b6ed3

[ "FTL", "CNRI-Python", "blessing" ]

null

data/process_data.py

Lydiafz/Udacity_DisasterPipeline

5673530e187c679c87569e826c131c256d0b6ed3

[ "FTL", "CNRI-Python", "blessing" ]

null

data/process_data.py

Lydiafz/Udacity_DisasterPipeline

5673530e187c679c87569e826c131c256d0b6ed3

[ "FTL", "CNRI-Python", "blessing" ]

null

import sys import pandas as pd import numpy as np from sqlalchemy import create_engine def load_data(messages_filepath, categories_filepath): ''' Load the message and category .csv data files Input: the filepath of the two .csv files Output: return the two data frames ''' messages = ...

38.444444

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5.049774

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0

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0.25289

3,460

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0

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0.111111

0

null

0

null

0

1

0

6d26941eb40fda35e6cbb0aab9a6f55f70706908

2,438

py

Python

dgp/cli.py

weihaosky/dgp

b221534ea5515d03dce5c29dc6e60c1eee129785

[ "MIT" ]

1

2021-05-14T09:16:58.000Z

dgp/cli.py

weihaosky/dgp

b221534ea5515d03dce5c29dc6e60c1eee129785

[ "MIT" ]

null

dgp/cli.py

weihaosky/dgp

b221534ea5515d03dce5c29dc6e60c1eee129785

[ "MIT" ]

null

#!/usr/bin/env python # Copyright 2019-2020 Toyota Research Institute. All rights reserved. """DGP command line interface """ import glob import itertools import os import sys from multiprocessing import Pool, cpu_count import click from dgp.proto.dataset_pb2 import SceneDataset from dgp.utils.aws import (convert_ur...

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0

0.011426

0.174323

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73

109

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0.132075

0

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0.02

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false

0.02

0.2

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0.06

0

null

0

null

0

1

0

6d28289012166b79e101e010e38b5f25d78c2a26

2,124

py

Python

app/game.py

d4glushko/task_puzzle_15

ca308e2f07dfbe8aac50dbf3110443a274199018

[ "MIT" ]

null

app/game.py

d4glushko/task_puzzle_15

ca308e2f07dfbe8aac50dbf3110443a274199018

[ "MIT" ]

null

app/game.py

d4glushko/task_puzzle_15

ca308e2f07dfbe8aac50dbf3110443a274199018

[ "MIT" ]

null

import curses from app.environment import PuzzleEnvironment, PuzzleEnvironmentSettings, PuzzleAction from app.views import TerminalView, AbstractView from app.inputs import TerminalInput, AbstractInput class CursesKeysWrapper: Q = 113 ESC = 27 R = 114 W = 119 KEY_UP = curses.KEY_UP D = 100 ...

32.181818

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5.484848

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0.078927

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0.30838

2,124

65

93

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0

0.384615

0

null

0

null

0

1

0

6d2b6494460f181733e9edcda853c431b0c53cb5

443

py

Python

template_mathing_6methods.py

dmeseguerw/ImageDetection

fd18fa81514a9745a5e3138c360b0d878f2a6606

[ "MIT", "Unlicense" ]

null

template_mathing_6methods.py

dmeseguerw/ImageDetection

fd18fa81514a9745a5e3138c360b0d878f2a6606

[ "MIT", "Unlicense" ]

null

template_mathing_6methods.py

dmeseguerw/ImageDetection

fd18fa81514a9745a5e3138c360b0d878f2a6606

[ "MIT", "Unlicense" ]

null

import cv2 import numpy as np img_rgb = cv2.imread('mainimage.jpg') img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY) template = cv2.imread('template.jpg',0) w, h = template.shape[::-1] res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED) threshold = 0.8 loc = np.where( res >= threshold) for pt in zip(*...

27.6875

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0

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0

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1

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false

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0.153846

0

null

0

null

0

1

0

6d2befe5ea7c58a4f8bc6f563a72998b31c89000

7,607

py

Python

line_class.py

jackiele07/CarND-Advanced-Lane-Lines

0ee629fbaff6db42b6cf12c90c06e0b5fabbde40

[ "MIT" ]

null

line_class.py

jackiele07/CarND-Advanced-Lane-Lines

0ee629fbaff6db42b6cf12c90c06e0b5fabbde40

[ "MIT" ]

null

line_class.py

jackiele07/CarND-Advanced-Lane-Lines

0ee629fbaff6db42b6cf12c90c06e0b5fabbde40

[ "MIT" ]

null

import numpy as np import cv2 from matplotlib import pyplot as plt class window(): def __init__(self, nwindow, margin, mpixel, centroid): self.nwindow = nwindow self.margin = margin self.mpixel = mpixel self.centroid = centroid # Function to return the point within boundarys of ...

45.825301

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0.593269

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0.121296

0.080556

0.052315

0

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7,607

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191

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0

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false

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0.115044

0.061947

0

null

0

null

0

1

0

6d2dc51a6684f0eee600755a8aa65da621a005ab

550

py

Python

Learning/8.2-recursion.py

DishantIsrani/Python-Learning

f810fd64adeecd34fd2d95182f6be2bdfb4f9ac6

[ "MIT" ]

null

Learning/8.2-recursion.py

DishantIsrani/Python-Learning

f810fd64adeecd34fd2d95182f6be2bdfb4f9ac6

[ "MIT" ]

null

Learning/8.2-recursion.py

DishantIsrani/Python-Learning

f810fd64adeecd34fd2d95182f6be2bdfb4f9ac6

[ "MIT" ]

null

# ITERATIVE FUNCTION FOR FACTORIAL # def factorial_iterative(n): # fact=1 # for b in range(1, n+1): # fact=fact*b # return fact # a = int(input("enter the number you want the factorial of: ")) # print(f"the factorial of {a} is {factorial_iterative(a)}") # RECURSIVE FUNCTION FOR FACTORIAL def ...

20.37037

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0.652727

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4.116279

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0.129944

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0

0.016393

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6d2e03e276bae7527bce92f21abff29448cd794b

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py

Python

futaba/cogs/welcome/role_reapplication.py

Hoffs/futaba

4d07c421c4229c81ddd42da1a49594b8cf11832d

[ "MIT" ]

23

2018-09-17T09:06:27.000Z

2021-05-27T15:21:37.000Z

futaba/cogs/welcome/role_reapplication.py

Hoffs/futaba

4d07c421c4229c81ddd42da1a49594b8cf11832d

[ "MIT" ]

257

2018-08-18T21:27:54.000Z

2020-12-29T23:27:10.000Z

futaba/cogs/welcome/role_reapplication.py

Hoffs/futaba

4d07c421c4229c81ddd42da1a49594b8cf11832d

[ "MIT" ]

22

2018-09-09T09:03:13.000Z

2021-11-09T03:34:34.000Z

# # cogs/welcome/role_reapplication.py # # futaba - A Discord Mod bot for the Programming server # Copyright (c) 2017-2020 Jake Richardson, Ammon Smith, jackylam5 # # futaba is available free of charge under the terms of the MIT # License. You are free to redistribute and/or modify it under those # terms. It is distrib...

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6d2e1a90ddfac3c804d234d5ca9b2888a866f064

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py

Python

app/common/util.py

openstreetmap-polska/gugik2osm

60ebd0660ed55e3b3db0f034486a607975c5eb45

[ "MIT" ]

18

2020-01-31T11:19:28.000Z

2022-01-05T08:58:51.000Z

app/common/util.py

openstreetmap-polska/gugik2osm

60ebd0660ed55e3b3db0f034486a607975c5eb45

[ "MIT" ]

103

2019-12-11T11:35:01.000Z

2022-03-01T21:10:50.000Z

app/common/util.py

openstreetmap-polska/gugik2osm

60ebd0660ed55e3b3db0f034486a607975c5eb45

[ "MIT" ]

6

2020-12-06T14:53:43.000Z

2021-04-18T18:09:29.000Z

import logging from dataclasses import dataclass from typing import List, Union, Dict, Any, Tuple from lxml import etree @dataclass class Feature: id: str tags: Dict[str, Any] geojson_geometry: Dict[str, Any] def to_geojson_dict(features: List[Feature]) -> Dict[str, Any]: results = { 'type':...

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6d30e5200b0df52892d77fbbb3bc4df9f13ca5c1

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py

Python

Infra/Library/Uteis.py

buenex/Desafio-Nilo

64a4452e847020d54eb4b0d5ab7bbc86c1afa546

[ "MIT" ]

null

Infra/Library/Uteis.py

buenex/Desafio-Nilo

64a4452e847020d54eb4b0d5ab7bbc86c1afa546

[ "MIT" ]

null

Infra/Library/Uteis.py

buenex/Desafio-Nilo

64a4452e847020d54eb4b0d5ab7bbc86c1afa546

[ "MIT" ]

null

import random class Uteis(): def gerar_nome(self,length): letters ="AaBbCcDdEeFfGgHhIiJjKkLlMmNnOoPpQqRrSsTtUuVvWwXxYyZz" result = "" for n in range(int(length)): result += letters[random.randint(0,len(letters)-1)] return result def gerar_email(self): ...

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6d3a6948bd5e57b6f976e39bbd2a75b6e3d5c0bc

25,302

py

Python

src/olympia/blocklist/tests/test_views.py

jpetto/olympia

f4e9badac9634657068dfbd4733ab5d17798e3f6

[ "BSD-3-Clause" ]

null

src/olympia/blocklist/tests/test_views.py

jpetto/olympia

f4e9badac9634657068dfbd4733ab5d17798e3f6

[ "BSD-3-Clause" ]

null

src/olympia/blocklist/tests/test_views.py

jpetto/olympia

f4e9badac9634657068dfbd4733ab5d17798e3f6

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import base64 from datetime import datetime from xml.dom import minidom from django.conf import settings from django.core.cache import cache from nose.tools import eq_, ok_ from olympia import amo from olympia.amo.tests import TestCase from olympia.amo.urlresolvers import reverse from olympia...

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null

0

null

0

1

0

6d3cd024737891057712136d2e705890110f9afe

4,896

py

Python

tools/generate_pseudo_label.py

Jmq14/FCOS

5b9b7c2757584b323545988838d020f5b2b9f002

[ "BSD-2-Clause" ]

null

tools/generate_pseudo_label.py

Jmq14/FCOS

5b9b7c2757584b323545988838d020f5b2b9f002

[ "BSD-2-Clause" ]

null

tools/generate_pseudo_label.py

Jmq14/FCOS

5b9b7c2757584b323545988838d020f5b2b9f002

[ "BSD-2-Clause" ]

1

2020-04-14T07:19:16.000Z

import os import numpy as np from pycocotools.coco import COCO import cv2 from tqdm import tqdm import argparse import json import torch from fcos_core.structures.bounding_box import BoxList from fcos_core.structures.boxlist_ops import boxlist_iou def generate_pseudo_label_with_confidence_score(boxes, image_id, sco...

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0

null

0

null

0

1

0

6d3d92d541909aa34760d1f3e45a73e1d7ed39b8

6,562

py

Python

Learn_matplotlib.py

maufia/MyPyCourse

5818182992f93745bee4904768442e99837e6d61

[ "MIT" ]

null

Learn_matplotlib.py

maufia/MyPyCourse

5818182992f93745bee4904768442e99837e6d61

[ "MIT" ]

null

Learn_matplotlib.py

maufia/MyPyCourse

5818182992f93745bee4904768442e99837e6d61

[ "MIT" ]

null

"""Learn matplotlib""" import os import easygui as eg import csv import matplotlib.pyplot as plt TITLE = """Learn - Matplotlib """ def select_file() -> str: """Use EasyGUI to select a function""" current_directory = os.path.join(os.getcwd(), 'Data') selected_file = eg.fileopenbox(title=f'{TITLE}: Open...

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null

0

null

0

1

0

6d3f8a189f427be39fe163edc538d242e89521a0

2,970

py

Python

docker/dstat/plugins/dstat_nfsstat4.py

hzy9819/GreenPlum_WooKongDB

9dca9b3bcd15f29b2a0136acc818064222220059

[ "PostgreSQL", "Apache-2.0" ]

34

2021-01-18T14:25:24.000Z

2021-06-05T03:21:10.000Z

docker/dstat/plugins/dstat_nfsstat4.py

hzy9819/GreenPlum_WooKongDB

9dca9b3bcd15f29b2a0136acc818064222220059

[ "PostgreSQL", "Apache-2.0" ]

null

docker/dstat/plugins/dstat_nfsstat4.py

hzy9819/GreenPlum_WooKongDB

9dca9b3bcd15f29b2a0136acc818064222220059

[ "PostgreSQL", "Apache-2.0" ]

2

2021-04-20T20:11:08.000Z

2021-06-02T02:56:16.000Z

### Author: Adam Michel <elfurbe@furbism.com> ### Based on work by: Dag Wieers <dag@wieers.com> class dstat_plugin(dstat): def __init__(self): self.name = 'nfs4 client' # this vars/nick pair is the ones I considered relevant. Any set of the full list would work. self.vars = ('read', 'write'...

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0.011374

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0

0.142857

0

null

0

null

0

1

0

6d4017e7261ae361b154fa97a6f870b3295280f2

1,873

py

Python

astropyp/instruments/decam/pipeline.py

fred3m/astropyp

414c9e6d84da2604c6466b2046827d8b1988edab

[ "BSD-3-Clause" ]

8

2016-04-28T22:19:22.000Z

2022-03-14T04:22:00.000Z

astropyp/instruments/decam/pipeline.py

fred3m/astropyp

414c9e6d84da2604c6466b2046827d8b1988edab

[ "BSD-3-Clause" ]

null

astropyp/instruments/decam/pipeline.py

fred3m/astropyp

414c9e6d84da2604c6466b2046827d8b1988edab

[ "BSD-3-Clause" ]

null

import datapyp import warnings import os class DecamPipeError(Exception): pass class Pipeline(datapyp.core.Pipeline): def __init__(self, **kwargs): from datapyp.utils import get_bool # Make sure that the user included a dictionary of paths to initialize the pipeline if 'paths' not in k...

49.289474

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0.004105

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0

0.235294

0

null

0

null

0

1

0

6d409d33559b4a6519981780018a2f54e1281d04

3,487

py

Python

powerlaw.py

AlexanderDavid/Powerlaw-Highway-Env

e3e3b6277e0a75e4dcbc7988a9cb144137328d22

[ "MIT" ]

null

powerlaw.py

AlexanderDavid/Powerlaw-Highway-Env

e3e3b6277e0a75e4dcbc7988a9cb144137328d22

[ "MIT" ]

null

powerlaw.py

AlexanderDavid/Powerlaw-Highway-Env

e3e3b6277e0a75e4dcbc7988a9cb144137328d22

[ "MIT" ]

null

import gym import highway_env from agent import Agent import pandas as pd import numpy as np env = gym.make("highway-v0") done = False # Notes # Action space between 0 and 4 inclusive # 0 is merge left # 1 is do nothing # 2 is merge right # 3 is speed up # 4 is slow down # ## Obs space is a 5x5 matrix with values be...

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0.237911

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0.026816

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0.140782

0

0.045056

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168

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0

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0

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0.012346

0.08642

0

null

0

null

0

1

0

6d41975bab1b82a3f84cbeb994a57f4874792563

849

py

Python

terraform/module/lambda/src/timestream_data_writer.py

Jimon-s/terraform-example-timestream

f24b3d5feb1d497374c52bff64308a296a01d158

[ "MIT" ]

1

2021-09-12T08:54:48.000Z

terraform/module/lambda/src/timestream_data_writer.py

Jimon-s/terraform-example-timestream

f24b3d5feb1d497374c52bff64308a296a01d158

[ "MIT" ]

null

terraform/module/lambda/src/timestream_data_writer.py

Jimon-s/terraform-example-timestream

f24b3d5feb1d497374c52bff64308a296a01d158

[ "MIT" ]

null

from typing import List class TimeStreamDataWriter: def __init__(self, client) -> None: self.client = client def write_records(self, database_name: str, table_name: str, records: List[dict], common_attributes: List[dict] = None,): if self.client is None: raise Exception('client i...

30.321429

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849

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0.096436

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0.353357

849

27

126

31.444444

0.868852

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0.454545

0

0.020024

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false

0

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0

0.272727

0

null

0

null

0

1

0

6d43fd7c79d6110719d20a77a2cbf996accb638e

4,015

py

Python

zodiacy/cli.py

greenify/zodiacy

faf46a10b9b70869cb4caca02027921f1418cfcf

[ "MIT" ]

1

2015-10-16T10:24:53.000Z

zodiacy/cli.py

greenify/zodiacy

faf46a10b9b70869cb4caca02027921f1418cfcf

[ "MIT" ]

null

zodiacy/cli.py

greenify/zodiacy

faf46a10b9b70869cb4caca02027921f1418cfcf

[ "MIT" ]

null

#!/usr/bin/env python3 # encoding: utf-8 import argparse import sqlite3 from os import path from .wrapper import wrap_calls, wrap_corpus import signal signal.signal(signal.SIGPIPE, signal.SIG_DFL) """generate_horoscope.py: Generates horoscopes based provided corpuses""" __author__ = "Project Zodiacy" __copyright__ =...

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0.030769

0

null

0

null

0

1

0

6d4642e8f398da24a0527a67fb597113262e14dc

732

py

Python

ioloop-futures/future_done_callback.py

psuresh39/async-design-patterns

f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9

[ "Apache-2.0" ]

3

2021-02-25T22:20:07.000Z

2021-07-02T09:43:07.000Z

ioloop-futures/future_done_callback.py

psuresh39/async-design-patterns

f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9

[ "Apache-2.0" ]

null

ioloop-futures/future_done_callback.py

psuresh39/async-design-patterns

f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9

[ "Apache-2.0" ]

2

2021-01-27T08:44:31.000Z

2021-05-31T16:36:34.000Z

__author__ = 'psuresh' import asyncio @asyncio.coroutine def slow_operation(future): print("inside task") yield from asyncio.sleep(1) print("task done") future.set_result('Future is done!') def got_result(future): print("inside callback") print(future.result()) loop.stop() loop = async...

18.3

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0.789389

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0

null

0

null

0

1

0

6d4a0bcb9c1a2d9b83eb8672bd2a88bd3b493c65

6,555

py

Python

resources.py

cozhiv/tokenauthentication

c6fec21134d55177b99b23dfe21a89d23eda8394

[ "MIT" ]

null

resources.py

cozhiv/tokenauthentication

c6fec21134d55177b99b23dfe21a89d23eda8394

[ "MIT" ]

null

resources.py

cozhiv/tokenauthentication

c6fec21134d55177b99b23dfe21a89d23eda8394

[ "MIT" ]

null

from flask_restful import Resource, reqparse from models import UserModel, RevokedTokenModel, PortfolioModel from flask_jwt_extended import (create_access_token, create_refresh_token, jwt_required, jwt_refresh_token_required, get_jwt_identity, get_raw_jwt, get_jwt_claims) import json from flask import request parser = ...

35.625

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0.471698

0.444025

0.416855

0

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6,555

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35.819672

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1

0.103448

false

0.027586

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0.02069

0.358621

0.02069

0

null

0

null

0

1

0

6d4a1b0bb0e6cd8b58de78b8042c2fe98a20bb35

1,164

py

Python

src/data/get_raw_data.py

oscarv17/titanic-disaster-project

b3663c6e02ca2796dd982e0b6fe624968a935963

[ "MIT" ]

null

src/data/get_raw_data.py

oscarv17/titanic-disaster-project

b3663c6e02ca2796dd982e0b6fe624968a935963

[ "MIT" ]

null

src/data/get_raw_data.py

oscarv17/titanic-disaster-project

b3663c6e02ca2796dd982e0b6fe624968a935963

[ "MIT" ]

null

import os import kaggle from dotenv import find_dotenv, load_dotenv import logging # setting credentials os.system('set KAGGLE_USERNAME =' + os.environ.get('kaggle_username')) os.system('set KAGGLE_KEY =' + os.environ.get('kaggle_key')) # function to extract the data def extractData(path): os.syste...

29.846154

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4.832258

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0.056075

0.053405

0.186916

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0

0.207904

1,164

38

88

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0

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0

0.181818

0

0.272727

0

null

0

null

0

1

0

6d4b25fdee1ba1da4de6a0ee18903a26769fc38d

4,031

py

Python

4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py

moni2096/Data-Engineering-Nanodegree---Udacity

6202a535ebc5ff95921ce56d37f8116e3e961a3b

[ "MIT" ]

4

2021-07-02T06:17:53.000Z

2022-01-31T19:54:20.000Z

4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py

moni2096/Data-Engineering-Nanodegree-Udacity

6202a535ebc5ff95921ce56d37f8116e3e961a3b

[ "MIT" ]

null

4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py

moni2096/Data-Engineering-Nanodegree-Udacity

6202a535ebc5ff95921ce56d37f8116e3e961a3b

[ "MIT" ]

null

from datetime import datetime, timedelta import os from airflow import DAG from airflow.operators.dummy_operator import DummyOperator from airflow.operators import (StageToRedshiftOperator, LoadFactOperator, LoadDimensionOperator, DataQualityOperator) from helpers import SqlQueries def...

30.537879

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0.152221

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0.056075

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null

0

null

0

1

0

6d4cf8e51d0fbaf6857ed11d10bfb09f5a4b1db4

3,151

py

Python

Mnist_conv.py

yashchandak/TensorFlow-fun

d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d

[ "MIT" ]

null

Mnist_conv.py

yashchandak/TensorFlow-fun

d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d

[ "MIT" ]

null

Mnist_conv.py

yashchandak/TensorFlow-fun

d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Jun 6 15:11:12 2016 @author: yash """ import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets('MNIST_data', one_hot = True) sess = tf.InteractiveSession() """ Convolutional Neural Net """ def weight_variable(...

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0.014252

0.031354

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0.062074

0.161536

3,151

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0.018182

0

null

0

null

0

1

0

6d4de2f63adc59698f65d7e1665d7fdff8be3785

5,036

py

Python

models.py

AnselCmy/MetaR

47897ef0268b2c6c00e211be26a983d201e54565

[ "Apache-2.0" ]

84

2019-09-17T03:21:30.000Z

2022-03-18T12:28:59.000Z

models.py

zjukg/MetaR

47897ef0268b2c6c00e211be26a983d201e54565

[ "Apache-2.0" ]

4

2019-09-16T06:30:04.000Z

2022-01-02T12:26:03.000Z

models.py

zjukg/MetaR

47897ef0268b2c6c00e211be26a983d201e54565

[ "Apache-2.0" ]

10

2019-09-24T01:23:18.000Z

2021-08-09T03:00:00.000Z

from embedding import * from collections import OrderedDict import torch class RelationMetaLearner(nn.Module): def __init__(self, few, embed_size=100, num_hidden1=500, num_hidden2=200, out_size=100, dropout_p=0.5): super(RelationMetaLearner, self).__init__() self.embed_size = embed_size se...

39.653543

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5,036

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0.339746

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0.201815

0.15245

0.128494

0.08784

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5,036

126

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0.175258

0

null

0

null

0

1

0

6d5363097e402538bc42aa0b70cfd1c02f3ca6fb

2,526

py

Python

tests/apps/courses/test_models_subject.py

sampaccoud/richie

3d222aedab0636a84011dced568c5dcd48fc5b15

[ "MIT" ]

null

tests/apps/courses/test_models_subject.py

sampaccoud/richie

3d222aedab0636a84011dced568c5dcd48fc5b15

[ "MIT" ]

null

tests/apps/courses/test_models_subject.py

sampaccoud/richie

3d222aedab0636a84011dced568c5dcd48fc5b15

[ "MIT" ]

null

""" Unit tests for the Subject model """ from django.test import TestCase from cms.api import create_page from richie.apps.courses.factories import CourseFactory, SubjectFactory from richie.apps.courses.models import Subject class SubjectTestCase(TestCase): """ Unit test suite to validate the behavior of th...

38.272727

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2,526

5.521173

0.335505

0.056637

0.053097

0.056637

0.183481

0.098525

0.068437

0

0.010881

0.235946

2,526

65

96

38.861538

0.867358

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0.241379

0

null

0

null

0

1

0

6d53e547415669e075a1146807e89c0b079587f0

2,935

py

Python

Scripts/main.py

MainDuelo/Python-Tkinter-and-SQLite

7f69780ce9c1c8ebe807197448030aed94c3a082

[ "MIT" ]

null

Scripts/main.py

MainDuelo/Python-Tkinter-and-SQLite

7f69780ce9c1c8ebe807197448030aed94c3a082

[ "MIT" ]

null

Scripts/main.py

MainDuelo/Python-Tkinter-and-SQLite

7f69780ce9c1c8ebe807197448030aed94c3a082

[ "MIT" ]

null

from Scripts.bank.bankController import BankController from tkinter import ttk, Tk, Button, Label, END from tkinter.scrolledtext import ScrolledText from Scripts.support.textManipulation import TextManipulation MAROON = "#800000" WHITE = "#FFFFFF" VALUES = "values" class Main: def __init__(self): BankCon...

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0.026746

0.0421

0.047053

0.309559

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0

0.05124

0.175468

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184

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0

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0.211538

0

null

0

null

0

1

0

6d55e3cd7ef5d22859ae8f2c2273a0f46b67eba4

1,651

py

Python

python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py

vhnatyk/vlsistuff

0981097bd19a0c482728dcc5048a3615ac9a9a90

[ "MIT" ]

26

2018-03-17T18:14:22.000Z

2022-03-14T07:23:13.000Z

python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py

psumesh/vlsistuff

1fe64b093d0581d99c7d826b74c31b8655fa0b31

[ "MIT" ]

1

2019-10-16T10:31:11.000Z

2019-10-17T04:14:53.000Z

python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py

psumesh/vlsistuff

1fe64b093d0581d99c7d826b74c31b8655fa0b31

[ "MIT" ]

7

2018-07-16T07:51:25.000Z

2022-02-15T14:22:54.000Z

#! /usr/bin/env python3 import os,sys,string import sqlite3 from sqlite3 import Error def create_connection(path): connection = None try: connection = sqlite3.connect(path) print("Connection to SQLite DB successful") except Error as e: print(f"The error '{e}' occurred") ret...

22.930556

158

0.615385

198

1,651

5.035354

0.409091

0.060181

0.039117

0.042126

0.195587

0.111334

0

0.009106

0.268322

1,651

71

159

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0.013325

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0.018519

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0.111111

0

null

0

null

0

1

0

6d568baa19ca1079cc5a15acbd9559b0d736935c

1,836

py

Python

cq_editor/icons.py

possibilities/CQ-editor

dc950180b365ae39840f6787c8f5a061492734ed

[ "Apache-2.0" ]

351

2018-06-08T14:36:35.000Z

2022-03-29T22:03:04.000Z

cq_editor/icons.py

possibilities/CQ-editor

dc950180b365ae39840f6787c8f5a061492734ed

[ "Apache-2.0" ]

315

2018-06-08T14:35:08.000Z

2022-03-31T15:45:27.000Z

cq_editor/icons.py

possibilities/CQ-editor

dc950180b365ae39840f6787c8f5a061492734ed

[ "Apache-2.0" ]

71

2018-06-19T02:00:24.000Z

2022-03-25T08:55:02.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri May 25 14:47:10 2018 @author: adam """ from PyQt5.QtGui import QIcon from . import icons_res _icons = { 'app' : QIcon(":/images/icons/cadquery_logo_dark.svg") } import qtawesome as qta _icons_specs = { 'new' : (('fa.file-o',),{}), '...

31.118644

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0.139535

0

null

0

null

0

1

0

6d5780d158839c24f720b62513828f2502747533

493

py

Python

Exercicios/ex100.py

mauriciozago/CursoPython3

cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5

[ "MIT" ]

null

Exercicios/ex100.py

mauriciozago/CursoPython3

cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5

[ "MIT" ]

null

Exercicios/ex100.py

mauriciozago/CursoPython3

cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5

[ "MIT" ]

null

from random import randint from time import sleep def sorteia(lista): print('Sorteando 5 valores da lista:', end=' ') for num in range(0, 5): lista.append(randint(1, 10)) sleep(0.5) print(lista[num], end=' ') print('PRONTO!') def somaPar(lista): soma = 0 for valor in list...

19.72

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0.596349

69

493

4.26087

0.536232

0.013605

0

0.030641

0.271805

493

24

64

20.541667

0.788301

0

0.176471

0

1

0.111111

false

0

0.111111

0

0.222222

0

null

0

null

0

1

0

6d5878f65e5314a4e23460be695252643785c2ed

4,728

py

Python

python/fate_client/flow_client/flow_cli/utils/cli_args.py

kakasu/FATE

cfc61ef268154e08a9e7125c047c318c5e5eb42a

[ "Apache-2.0" ]

2

2020-11-21T11:25:08.000Z

2020-11-21T11:25:11.000Z

python/fate_client/flow_client/flow_cli/utils/cli_args.py

TroubleMaker1994/FATE

23ad848bcc7ae7f304a376d3f46f4af26872c8a2

[ "Apache-2.0" ]

null

python/fate_client/flow_client/flow_cli/utils/cli_args.py

TroubleMaker1994/FATE

23ad848bcc7ae7f304a376d3f46f4af26872c8a2

[ "Apache-2.0" ]

1

2021-02-03T08:23:42.000Z

# # Copyright 2019 The FATE Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli...

51.956044

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0.049887

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4,728

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0.019608

0

null

0

null

0

1

0

6d595897f47c1cc37b47f1c81df0318c37ce2e88

5,210

py

Python

lightning_transformers/task/nlp/masked_language_modeling/data.py

maksym-taranukhin/lightning-transformers

aa7202657973b5b65c3c36eb745621043859ebc4

[ "Apache-2.0" ]

null

lightning_transformers/task/nlp/masked_language_modeling/data.py

maksym-taranukhin/lightning-transformers

aa7202657973b5b65c3c36eb745621043859ebc4

[ "Apache-2.0" ]

null

lightning_transformers/task/nlp/masked_language_modeling/data.py

maksym-taranukhin/lightning-transformers

aa7202657973b5b65c3c36eb745621043859ebc4

[ "Apache-2.0" ]

null

# Copyright The PyTorch Lightning team. # # 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 i...

41.68

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0.164636

0.112927

0.084398

0

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5,210

124

120

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0

0.15

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false

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0.075

0

0.2375

0

null

0

null

0

1

0

6d5b404b1dc5e6d856457623444459cb2d318391

297

py

Python

lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

class Solution: def hasAllCodes(self, s: str, k: int) -> bool: seen = set() i = 0 n = len(s) while i <= n-k: if s[i:i+k] not in seen: seen.add(s[i:i+k]) i += 1 return len(seen)==2 ** k

21.214286

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14

51

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1

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0

0.3

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null

0

null

0

1

0

6d5ee2879ab66f8685eefe4e79bc72d5182956c0

8,313

py

Python

pythonFiles/arcgis_Script.py

huangysh/ASCA_Cluster

3f7ff5df514cbe48730ba0634abe7f9726d3b98e

[ "MIT" ]

null

pythonFiles/arcgis_Script.py

huangysh/ASCA_Cluster

3f7ff5df514cbe48730ba0634abe7f9726d3b98e

[ "MIT" ]

null

pythonFiles/arcgis_Script.py

huangysh/ASCA_Cluster

3f7ff5df514cbe48730ba0634abe7f9726d3b98e

[ "MIT" ]

null

# -*- coding: utf-8 -*- # ********************************************************************************************************************** # MIT License # Copyright (c) 2020 School of Environmental Science and Engineering, Shanghai Jiao Tong University # Permission is hereby granted, free of charge, to any per...

41.358209

120

0.634428

775

8,313

6.778065

0.396129

0.079954

0.036551

0.014278

0.285741

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0.241196

0.194936

0.170569

0

0.006156

0.15975

8,313

200

121

41.565

0.745884

0.337303

0

0.389381

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0

0.005

0

1

0

false

0

0.035398

0

0.035398

0

null

0

null

0

1

0

6d5f3bebf3edb62a00a49fe6236b8ebde098e6fa

19,903

py

Python

examples/example_topop_tb_v4_analysis_roi.py

qiancao/BoneBox

0d10dac7c93f16f0643bebc62c63be2f4bd099f6

[ "BSD-3-Clause" ]

1

2022-03-11T20:49:19.000Z

examples/example_topop_tb_v4_analysis_roi.py

qiancao/BoneBox

0d10dac7c93f16f0643bebc62c63be2f4bd099f6

[ "BSD-3-Clause" ]

null

examples/example_topop_tb_v4_analysis_roi.py

qiancao/BoneBox

0d10dac7c93f16f0643bebc62c63be2f4bd099f6

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Aug 20 21:29:32 2021 @author: qcao Analysis code for example_topop_tb_v3.py Parses and cleans load-driven phantoms. Computes Radiomic signatures. Compares with BvTv. Compare with ROIs """ # FEA and BoneBox Imports import os import sys sys.path.appe...

33.848639

127

0.631061

2,392

19,903

5.146739

0.231605

0.021444

0.015352

0.020713

0.354967

0.309967

0.26456

0.2328

0.190155

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19,903

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128

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0

1

0.043478

false

0

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0.182609

0.026087

0

null

0

null

0

1

0

6d61966b535b9419b168bfc49be236b95f338598

1,711

py

Python

getKeypoints.py

franzqueissner/mimic-detection

9dc49cf57baaa7da8bb1d8eee0efe00b57384fca

[ "MIT" ]

null

getKeypoints.py

franzqueissner/mimic-detection

9dc49cf57baaa7da8bb1d8eee0efe00b57384fca

[ "MIT" ]

null

getKeypoints.py

franzqueissner/mimic-detection

9dc49cf57baaa7da8bb1d8eee0efe00b57384fca

[ "MIT" ]

null

import os import threading import json from classes import Keypoint def wait_for_frames(): while not os.path.isdir('keypoints/run0'): print("waiting for frame dir, pls start openpose") print("dir detected!") while len(os.listdir("keypoints/run0")) == 0: print("dir empty, waiting for frames"...

29

104

0.675044

219

1,711

5.082192

0.374429

0.151842

0.086253

0.039533

0

0.023704

0.210988

1,711

58

105

29.5

0.800741

0.073641

0

0.04878

0

0.172808

0

1

0.097561

false

0

0.097561

0.02439

0.292683

0.170732

0

null

0

null

0

1

0

6d635c6db89e149bfd386a8f61c701f4329339cc

6,311

py

Python

locations/spiders/dickeys_barbecue_pit.py

davidchiles/alltheplaces

6f35f6cd652e7462107ead0a77f322caff198653

[ "MIT" ]

297

2017-12-07T01:29:14.000Z

2022-03-29T06:58:01.000Z

locations/spiders/dickeys_barbecue_pit.py

davidchiles/alltheplaces

6f35f6cd652e7462107ead0a77f322caff198653

[ "MIT" ]

2,770

2017-11-28T04:20:21.000Z

2022-03-31T11:29:16.000Z

locations/spiders/dickeys_barbecue_pit.py

davidchiles/alltheplaces

6f35f6cd652e7462107ead0a77f322caff198653

[ "MIT" ]

111

2017-11-27T21:40:02.000Z

2022-01-22T01:21:52.000Z

import scrapy import re from urllib.parse import urlparse from locations.hours import OpeningHours from locations.items import GeojsonPointItem ALL_DAYS = ['Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su'] class DickeysBarbecuePitSpider(scrapy.Spider): name = "dickeys_barbecue_pit" item_attributes = { '...

41.519737

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0.534464

717

6,311

4.566248

0.320781

0.047648

0.034209

0.047037

0.06292

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0.031155

0.025657

0

0.015463

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6,311

151

122

41.794702

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0

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0

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0

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false

0

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0

0.287129

0

null

0

null

0

1

0

ed8cc5798db544fbe8ee797bd37f85e2f59ad788

8,156

py

Python

facePose.py

cyndi088/head-pose-estimation-face-landmark

f4ef5b977800cc8c0c54dae8b86d21f616ecb38b

[ "MIT" ]

null

facePose.py

cyndi088/head-pose-estimation-face-landmark

f4ef5b977800cc8c0c54dae8b86d21f616ecb38b

[ "MIT" ]

null

facePose.py

cyndi088/head-pose-estimation-face-landmark

f4ef5b977800cc8c0c54dae8b86d21f616ecb38b

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- # pylint: disable=C0103 # pylint: disable=E1101 import os import numpy as np import cv2 import caffe def retifyxxyy(img, xxyy): """ let xxyy within image size img: image xxyy: left, right, top, bottom return modified xxyy """ img_height, img_width...

29.128571

161

0.608877

1,037

8,156

4.678881

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ed9343bfb5b3ee8263500da7447ed1563a0c1cf8

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py

Python

tutorials/05-dcr/plot_fwd_2_dcr2d.py

ElliotCheung/simpeg

ce5bde154179ca63798a62a12787a7ec3535472c

[ "MIT" ]

1

2022-02-18T16:31:27.000Z

tutorials/05-dcr/plot_fwd_2_dcr2d.py

ElliotCheung/simpeg

ce5bde154179ca63798a62a12787a7ec3535472c

[ "MIT" ]

null

tutorials/05-dcr/plot_fwd_2_dcr2d.py

ElliotCheung/simpeg

ce5bde154179ca63798a62a12787a7ec3535472c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ DC Resistivity Forward Simulation in 2.5D ========================================= Here we use the module *SimPEG.electromagnetics.static.resistivity* to predict DC resistivity data and plot using a pseudosection. In this tutorial, we focus on the following: - How to define the survey...

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null

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null

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0

ed936cafecf6046c66b2300745cd962b854537e7

23,944

py

Python

Feature_Selection.py

ksegaba/ML-Pipeline

cd3914563ccd2e2eb863a55e7fe774108280ed47

[ "MIT" ]

12

2019-09-30T21:17:40.000Z

2022-02-11T00:22:52.000Z

Feature_Selection.py

DanyelleJhang/ML-Pipeline

78073fd1004f831c4efdd05e0f1eb78c8bae4fcb

[ "MIT" ]

6

2021-08-03T14:29:16.000Z

2021-11-17T22:39:13.000Z

Feature_Selection.py

DanyelleJhang/ML-Pipeline

78073fd1004f831c4efdd05e0f1eb78c8bae4fcb

[ "MIT" ]

17

2017-05-22T21:03:42.000Z

2022-03-01T15:06:29.000Z

""" PURPOSE: Run feature selection mettestd available from sci-kit learn on a given dataframe Must set path to Miniconda in HPC: export PATH=/mnt/testme/azodichr/miniconda3/bin:$PATH INPUT: -df Feature file for ML. If class/Y values are in a separate file use -df for features and -df2 for class/Y -alg ...

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null

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null

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ed95341fd58164725063ce6ee238cb6800234854

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py

Python

analyses/seasonality_paper_st/comparisons/specific.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

analyses/seasonality_paper_st/comparisons/specific.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

analyses/seasonality_paper_st/comparisons/specific.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

# -*- coding: utf-8 -*- import sys import warnings from pathlib import Path PROJECT_DIR = Path(__file__).resolve().parent if sys.path[0] != str(PROJECT_DIR.parent): sys.path.insert(0, str(PROJECT_DIR.parent)) warnings.filterwarnings( "ignore", category=FutureWarning, module="sklearn.utils.deprecation" ) from ...

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ed96aca008acbd291e61b7b834d23df210a0de3f

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py

Python

scripts/bbann_script/rewrite.py

PwzXxm/BBAnn

2dafce027599b3cdf84070248467294dca2a1042

[ "MIT" ]

11

2021-11-01T06:49:30.000Z

2022-02-25T08:09:21.000Z

scripts/bbann_script/rewrite.py

PwzXxm/BBAnn

2dafce027599b3cdf84070248467294dca2a1042

[ "MIT" ]

null

scripts/bbann_script/rewrite.py

PwzXxm/BBAnn

2dafce027599b3cdf84070248467294dca2a1042

[ "MIT" ]

5

2021-11-04T02:18:41.000Z

2022-03-17T04:13:07.000Z

#!/usr/bin/python3 import sys column_num=eval(sys.argv[1]) print("ARGUMENT column_num: ", column_num) file_name = "tana_res.txt" records = {} with open(file_name) as f: while True: line = f.readline() # Line 1: log file name if not line: break print(line.strip()) key = f.readline().strip() # Line 2: the k...

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null

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0

ed96b143353b2e72a3e901bf774af07ab594b2aa

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py

Python

kloppy/tests/test_datafactory.py

ThomasSeidl/kloppy

ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded

[ "BSD-3-Clause" ]

176

2020-04-24T09:12:05.000Z

2022-03-27T07:03:44.000Z

kloppy/tests/test_datafactory.py

ThomasSeidl/kloppy

ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded

[ "BSD-3-Clause" ]

95

2020-04-24T18:37:36.000Z

2022-03-23T21:59:10.000Z

kloppy/tests/test_datafactory.py

ThomasSeidl/kloppy

ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded

[ "BSD-3-Clause" ]

39

2020-05-08T21:45:26.000Z

2022-03-19T09:29:41.000Z

import os from kloppy import DatafactorySerializer from kloppy.domain import ( AttackingDirection, Ground, Orientation, Period, Point, Provider, SetPieceType, ) from kloppy.domain.models.common import DatasetType class TestDatafactory: def test_correct_deserialization(self): b...

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ed96c2f783024bd964e139219b7d2d0bf6f1f219

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py

Python

models/BiLSTM_MHATT.py

shiqiuwang/shiqiuwang-N2NCause

a6cdb702b000b62b29ccdbd74bfbb666420124f1

[ "MIT" ]

null

models/BiLSTM_MHATT.py

shiqiuwang/shiqiuwang-N2NCause

a6cdb702b000b62b29ccdbd74bfbb666420124f1

[ "MIT" ]

null

models/BiLSTM_MHATT.py

shiqiuwang/shiqiuwang-N2NCause

a6cdb702b000b62b29ccdbd74bfbb666420124f1

[ "MIT" ]

null

import tensorflow as tf from layers.attention import stacked_multihead_attention from layers.recurrent import rnn_layer from layers.similarity import manhattan_similarity from models.base_model import BaseSiameseNet class LSTMATTBasedSiameseNet(BaseSiameseNet): def __init__( self, ma...

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null

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1

0

ed992d81dea8a5144be3f93a447f968a5f7b383d

2,923

py

Python

ddesigner/conditional.py

Ball-Man/python-ddesigner

2e1522e28389fe6e2d7b40f8877732563d3dd368

[ "MIT" ]

1

2021-08-17T10:40:48.000Z

ddesigner/conditional.py

Ball-Man/python-ddesigner

2e1522e28389fe6e2d7b40f8877732563d3dd368

[ "MIT" ]

null

ddesigner/conditional.py

Ball-Man/python-ddesigner

2e1522e28389fe6e2d7b40f8877732563d3dd368

[ "MIT" ]

null

"""Module containing the logic for an arithmetic parser. Lark is used as a parser generator. """ from typing import Mapping import operator import lark # Default syntax for arithmetic expressions ARITHM_EXPRESSIONS_SYNTAX = """ ?start: or ?or: and | or "||" and -> or_ | or "or" and -> or_ ?and: comparison ...

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null

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ed9cb27df1647e3b076c465c218bb03a9d9b60ef

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py

Python

source.py

Shailendram1990/COVID19_mobility

70dc3d05313b233229ea5f8d1c4c1b0dffe44e33

[ "MIT" ]

1

2020-07-21T16:11:51.000Z

source.py

Shailendram1990/COVID19_mobility

70dc3d05313b233229ea5f8d1c4c1b0dffe44e33

[ "MIT" ]

null

source.py

Shailendram1990/COVID19_mobility

70dc3d05313b233229ea5f8d1c4c1b0dffe44e33

[ "MIT" ]

null

""" This script loads Google and Apple Mobility reports, builds cleaned reports in different formats and builds merged files from both sources. Original data: - Google Community Mobility reports: https://www.google.com/covid19/mobility/ - Apple Mobility Trends reports: https://www.apple.com/covid19/mobili...

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0

null

0

null

0

1

0

eda08d58045fdf93c52e02e54d88ae92b393de36

2,130

py

Python

cogs/lyrics.py

minihut/leafy-bot

b9c12b18f8a6ba8409ced5fe352421623bbffcee

[ "MIT" ]

12

2021-01-19T05:47:03.000Z

2022-01-14T12:51:33.000Z

cogs/lyrics.py

minihut/leafy-bot

b9c12b18f8a6ba8409ced5fe352421623bbffcee

[ "MIT" ]

1

2021-02-22T12:08:10.000Z

cogs/lyrics.py

minihut/leafy-bot

b9c12b18f8a6ba8409ced5fe352421623bbffcee

[ "MIT" ]

12

2021-01-17T07:31:34.000Z

2021-05-17T14:01:07.000Z

import discord import requests from discord.ext import commands from discord.ext.commands import BucketType, cooldown class Lyrics(commands.Cog): def __init__(self, client): self.client = client @commands.Cog.listener() async def on_ready(self): print("Lyrics cog loaded successfully") ...

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eda1be23822efe6556205accc545c9d894a8431d

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py

Python

model_train.py

Sanatramesh/PCamNet

7238a87584ffec26336ae2034ec5723d8a035dca

[ "BSD-3-Clause" ]

null

model_train.py

Sanatramesh/PCamNet

7238a87584ffec26336ae2034ec5723d8a035dca

[ "BSD-3-Clause" ]

null

model_train.py

Sanatramesh/PCamNet

7238a87584ffec26336ae2034ec5723d8a035dca

[ "BSD-3-Clause" ]

null

import time import pickle import numpy as np from copy import deepcopy class ModelTraining: def __init__(self, model, data_loader, batch_size = 10, epochs = 20, model_ckpt_file = 'model/PCamNet'): self.model = model self.data_loader = data_loader # List of tuple: (left_cam, right_cam, disp_map) fi...

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0

null

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null

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1

0

eda47ef3a198b2afd2d1ca2fa747773c857b5cf8

3,745

py

Python

aiohttp_pydantic/oas/docstring_parser.py

HerrMuellerluedenscheid/aiohttp-pydantic

87b4487cc46213a3248807825e2e3e71413fa543

[ "MIT" ]

42

2020-11-18T16:14:45.000Z

2022-03-21T09:18:48.000Z

aiohttp_pydantic/oas/docstring_parser.py

HerrMuellerluedenscheid/aiohttp-pydantic

87b4487cc46213a3248807825e2e3e71413fa543

[ "MIT" ]

26

2020-11-15T08:27:09.000Z

2022-03-04T15:26:20.000Z

aiohttp_pydantic/oas/docstring_parser.py

HerrMuellerluedenscheid/aiohttp-pydantic

87b4487cc46213a3248807825e2e3e71413fa543

[ "MIT" ]

11

2020-11-24T22:13:35.000Z

2021-10-02T19:56:26.000Z

""" Utility to extract extra OAS description from docstring. """ import re import textwrap from typing import Dict, List class LinesIterator: def __init__(self, lines: str): self._lines = lines.splitlines() self._i = -1 def next_line(self) -> str: if self._i == len(self._lines) - 1: ...

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null

0

null

0

1

0

eda80428d8aaafe609a0be6935df873454da8b92

10,224

py

Python

tests/test_objects.py

kipyin/phanpy

f66fb1b181aeec6183bb03bd748e6ed535496a54

[ "MIT" ]

null

tests/test_objects.py

kipyin/phanpy

f66fb1b181aeec6183bb03bd748e6ed535496a54

[ "MIT" ]

null

tests/test_objects.py

kipyin/phanpy

f66fb1b181aeec6183bb03bd748e6ed535496a54

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import pytest import os, sys file_path = os.path.dirname(os.path.abspath(__file__)) root_path = file_path.replace('/phanpy/tests', '') sys.path.append(root_path) if root_path not in sys.path else None import numpy as np from phanpy.core.objects import Status, Item, Move...

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null

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null

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1

0

eda9ec61c9c268e74679c06d29ce37757b47bb1d

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py

Python

Modules/Dependency/Metadata_Interpreter.py

dobedobedo/Parrot_Sequoia_Image_Handler

e8d44d88006cf1f4e597aac1523c6f4458534e5b

[ "MIT" ]

6

2018-06-27T10:13:29.000Z

2020-05-11T03:00:10.000Z

Modules/Dependency/Metadata_Interpreter.py

dobedobedo/Parrot_Sequoia_Image_Handler

e8d44d88006cf1f4e597aac1523c6f4458534e5b

[ "MIT" ]

null

Modules/Dependency/Metadata_Interpreter.py

dobedobedo/Parrot_Sequoia_Image_Handler

e8d44d88006cf1f4e597aac1523c6f4458534e5b

[ "MIT" ]

3

2017-09-25T12:46:38.000Z

2021-06-15T15:57:50.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jun 23 16:08:19 2017 @author: uqytu1 """ import math import numpy as np import urllib.request import json import base64 import struct import datetime import pytz def GetLonLat(Metadata): Position = Metadata['GPSPosition'].split(',') Latitude = ...

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null

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null

0

1

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edabc77fd3da28138cd10a06ef81ba6b153764ea

453

py

Python

lectures/5_Image_Analysis/combine_color_image.py

jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing

e4b831460bddd34e7ad1d8888327c8d85b80e35e

[ "BSD-3-Clause" ]

1

2021-11-10T15:34:37.000Z

lectures/5_Image_Analysis/combine_color_image.py

jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing

e4b831460bddd34e7ad1d8888327c8d85b80e35e

[ "BSD-3-Clause" ]

null

lectures/5_Image_Analysis/combine_color_image.py

jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing

e4b831460bddd34e7ad1d8888327c8d85b80e35e

[ "BSD-3-Clause" ]

3

2020-08-06T15:11:50.000Z

2022-01-05T20:21:09.000Z

from skimage import draw red = np.zeros((300, 300)) green = np.zeros((300, 300)) blue = np.zeros((300, 300)) r, c = draw.circle(100, 100, 100) red[r, c] = 1 r, c = draw.circle(100, 200, 100) green[r, c] = 1 r, c = draw.circle(200, 150, 100) blue[r, c] = 1 f, axes = plt.subplots(1, 3) for (ax, channel) in zip(axes...

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null

0

null

0

1

0

edb02ecbb069aa18674ef4e8555933c211f6074c

1,398

py

Python

chapters/chapter_3/NN_yelp/main.py

Penguin-Run/PyTorchBook

a310246ffed33d53a70cd7f2fd971f1626dcbebf

[ "Apache-2.0" ]

null

chapters/chapter_3/NN_yelp/main.py

Penguin-Run/PyTorchBook

a310246ffed33d53a70cd7f2fd971f1626dcbebf

[ "Apache-2.0" ]

null

chapters/chapter_3/NN_yelp/main.py

Penguin-Run/PyTorchBook

a310246ffed33d53a70cd7f2fd971f1626dcbebf

[ "Apache-2.0" ]

null

from .training.ReviewClassifier import ReviewClassifier from .data_managing.Dataset import ReviewDataset from .training.hyperparameters import args from .testing import compute_loss_acc as loss_acc from .testing import predict_rating as predict from .testing import analizing as analyze if __name__ == '__main__': ...

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null

0

null

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1

0

edb0ab27e8375216bb7fe46df1fbcdeb336314c4

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py

Python

setup.py

hpleva/ai4materials

5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2

[ "Apache-2.0" ]

null

setup.py

hpleva/ai4materials

5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2

[ "Apache-2.0" ]

null

setup.py

hpleva/ai4materials

5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2

[ "Apache-2.0" ]

null

from setuptools import setup, find_packages, Extension # To use a consistent encoding from codecs import open # Other stuff import sys, os, fileinput import versioneer here = os.path.dirname(os.path.realpath(__file__)) def main(): # Start package setup # Get the long description from the README file wit...

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null

0

null

0

1

0

edb1c338921c46604a227fc5ad3a3537657d82d7

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py

Python

zeekofile/_controllers/blog/permapage.py

cdarlint/zeekofile

e5c999f0adfa1837c255b856eb030fb6838b0ea1

[ "MIT" ]

1

2022-02-20T08:02:00.000Z

zeekofile/_controllers/blog/permapage.py

cdarlint/zeekofile

e5c999f0adfa1837c255b856eb030fb6838b0ea1

[ "MIT" ]

1

2021-07-23T19:45:58.000Z

zeekofile/_controllers/blog/permapage.py

cdarlint/zeekofile

e5c999f0adfa1837c255b856eb030fb6838b0ea1

[ "MIT" ]

null

from zeekofile.cache import zf import re blog = zf.config.controllers.blog def run(): write_permapages() def write_permapages(): "Write blog posts to their permalink locations" site_re = re.compile(zf.config.site.url, re.IGNORECASE) num_posts = len(blog.posts) for i, post in enumerate(blog.pos...

28.263158

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1,074

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84

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0

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0

0.153846

0

null

0

null

0

1

0

edb2a9429239ad3822ac8af03b000d236f86beda

31,643

py

Python

python/nsc/nsc_instcal_sexdaophot.py

dnidever/noaosourcecatalog

bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb

[ "MIT" ]

4

2017-05-23T20:57:33.000Z

2018-01-30T22:51:42.000Z

python/nsc/nsc_instcal_sexdaophot.py

dnidever/noaosourcecatalog

bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb

[ "MIT" ]

null

python/nsc/nsc_instcal_sexdaophot.py

dnidever/noaosourcecatalog

bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb

[ "MIT" ]

1

2021-07-15T03:06:22.000Z

#!/usr/bin/env python # # NSC_INSTCAL_SEXDAOPHOT.PY -- Run SExtractor and DAOPHOT on an exposure # from __future__ import print_function __authors__ = 'David Nidever <dnidever@noao.edu>' __version__ = '20180819' # yyyymmdd import os import sys import numpy as np import warnings from astropy.io import fits from astr...

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4.872608

0.155701

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0.171661

0.153801

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0

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0

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0.024605

0

null

0

null

0

1

0

edb8c9e216e31864005a5218bc360deec4e30ce5

270

py

Python

update-readme.py

jutge-org/j3-logos

f47dfc84e8a2a9f987fdb22c432b6a52893fe294

[ "Apache-2.0" ]

1

2020-12-29T12:19:23.000Z

update-readme.py

jutge-org/j3-logos

f47dfc84e8a2a9f987fdb22c432b6a52893fe294

[ "Apache-2.0" ]

null

update-readme.py

jutge-org/j3-logos

f47dfc84e8a2a9f987fdb22c432b6a52893fe294

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import glob text = ''' # Logos for Jutge.org ''' for png in sorted(glob.glob('*.png')): text += '''- %s\n\n <a href='%s'><img src='%s' height='200'></a>\n\n''' % (png, png, png) with open('README.md', 'w') as file: file.write(text)

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0

0.125

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null

0

null

0

1

0

edb9060cb2e91122e01e0d89597323dc92dbbaa6

14,950

py

Python

adpkd_segmentation/datasets/datasets.py

kurtteichman/adpkd-segmentation-pytorch

20faedfd77aaa26cadfbe636092db3da0f257940

[ "MIT" ]

5

2021-07-09T16:10:56.000Z

2022-03-23T10:22:16.000Z

adpkd_segmentation/datasets/datasets.py

kurtteichman/adpkd-segmentation-pytorch

20faedfd77aaa26cadfbe636092db3da0f257940

[ "MIT" ]

3

2021-06-23T02:47:42.000Z

2022-02-04T22:43:27.000Z

adpkd_segmentation/datasets/datasets.py

aksg87/adpkd-segmentation-pytorch

9a22e06ab905bca456c978f3b40ea427499ccf7d

[ "MIT" ]

2

2021-06-05T22:19:29.000Z

2022-03-13T20:50:13.000Z

import json import numpy as np import torch from pathlib import Path import pandas as pd import pydicom from ast import literal_eval from adpkd_segmentation.data.data_utils import ( get_labeled, get_y_Path, int16_to_uint8, make_dcmdicts, path_2dcm_int16, path_2label, TKV_update, ) from adp...

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0

null

0

null

0

1

0

edb94af127b7b6cb84e9109091abb7f212cbe179

947

py

Python

main.py

Arcxdd/Kali-Docker

a59bfdc24dde3e8105762c6e44bd5a6115afd44d

[ "Unlicense" ]

null

main.py

Arcxdd/Kali-Docker

a59bfdc24dde3e8105762c6e44bd5a6115afd44d

[ "Unlicense" ]

null

main.py

Arcxdd/Kali-Docker

a59bfdc24dde3e8105762c6e44bd5a6115afd44d

[ "Unlicense" ]

null

import os import sys from halo import Halo spinner = Halo(text='Please wait...', spinner='dots') def main(): """Main program""" portsToExpose = str(input('Ports to expose [Default: 22 for SSH]: ')) print("Installing...\n") spinner.start() os.system("docker pull kalilinux/kali-ro...

22.547619

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947

4.645455

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0.058708

0.086106

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947

41

108

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0

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0.071429

0

null

0

null

0

1

0

edb9a342dd84b94be341c6a7b6d981951da4877d

1,098

py

Python

.vscode/compilers/pycompile.py

croghostrider/Loxone-Recovery

cb47a6fd8a685e5995f11e61f3a6e0126fb19828

[ "MIT" ]

1

2022-03-20T22:27:45.000Z

.vscode/compilers/pycompile.py

croghostrider/Loxone-Recovery

cb47a6fd8a685e5995f11e61f3a6e0126fb19828

[ "MIT" ]

null

.vscode/compilers/pycompile.py

croghostrider/Loxone-Recovery

cb47a6fd8a685e5995f11e61f3a6e0126fb19828

[ "MIT" ]

null

#!/usr/bin/env python3 import os import shutil import subprocess import sys # ARGS fileDirname = sys.argv[1] fileBasename = sys.argv[2] workspaceFolder = sys.argv[3] # TRANSFORMATION relativeFileDirname = fileDirname[len(workspaceFolder)+1:] fileBasenameNoExtension = "".join(fileBasename.rsplit(".py", 1)) distpath =...

23.361702

71

0.652095

114

1,098

6.166667

0.482456

0.034139

0.056899

0.089616

0.071124

0

0.006936

0.212204

1,098

46

72

23.869565

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0.06102

0

0.057143

0

0.088694

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1

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0

0.114286

0

0.2

0

null

0

null

0

1

0

edba4dad99f149168f42524be29efbe1763f78a1

1,430

py

Python

white-head-mountain/pcdn/mainpcdn.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

white-head-mountain/pcdn/mainpcdn.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

white-head-mountain/pcdn/mainpcdn.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

from hostNameHandle import hostNameHandle from gethostList import get_ips from getwechat import getProxyInfo from gethostNameIp import getIps from getFrequency import getFrequency from getDownloadAccount import getInfo from sendMessage import sendMessage hostName=input("主机名:") type = str(input("1 \"频繁掉线\" or ...

25.087719

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1,430

6.125

0.440476

0.043732

0.075802

0.052478

0

0.003276

0.146154

1,430

56

54

25.535714

0.839476

0.083916

0

0.052632

0

0.133655

0.020129

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1

0.052632

false

0

0.184211

0

0.263158

0.078947

0

null

0

null

0

1

0

edbce3d11b39d90338cc61b5efce850628014657

2,041

py

Python

automol/reac/_instab.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

2

2021-03-01T14:23:25.000Z

2021-11-28T19:17:08.000Z

automol/reac/_instab.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

1

2021-02-12T21:02:22.000Z

2021-02-12T21:35:33.000Z

automol/reac/_instab.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

6

2020-12-12T18:41:13.000Z

2021-11-11T20:12:14.000Z

""" Build unstable products """ from phydat import instab_fgrps import automol.graph from automol.reac._util import rxn_objs_from_zmatrix import automol.geom import automol.inchi import automol.zmat from automol.graph import radical_dissociation_prods from automol.graph import radical_group_dct def instability_prod...

30.462687

79

0.654581

257

2,041

4.984436

0.307393

0.046838

0.017174

0.028103

0.188915

0.143638

0

0.000676

0.275355

2,041

66

80

30.924242

0.86545

0.211171

0

0.001929

0

1

0.075

false

0

0.2

0

0.35

0

null

0

null

0

1

0

edbecc8726126a9bb26d9234cf7d31303aa4e928

6,012

py

Python

tests/test_select.py

vail130/norm

01a16d6c73c2c6fff92430ca2ca745b295de9a3a

[ "MIT" ]

null

tests/test_select.py

vail130/norm

01a16d6c73c2c6fff92430ca2ca745b295de9a3a

[ "MIT" ]

1

2016-02-10T00:43:15.000Z

2016-02-10T01:14:37.000Z

tests/test_select.py

vail130/norm

01a16d6c73c2c6fff92430ca2ca745b295de9a3a

[ "MIT" ]

1

2021-03-12T23:21:02.000Z

from __future__ import absolute_import, unicode_literals import unittest from mason import Param, ANY, SELECT, COUNT, SUM, AND, OR, Table, NUMERIC, DATE, COALESCE, CASE class TheSelectClass(unittest.TestCase): def test_returns_string_for_select_query(self): purchases = Table('purchases') users =...

39.552632

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0.585329

605

6,012

5.583471

0.147107

0.085554

0.061575

0.023683

0.657194

0.605684

0.483422

0.434873

0

0.007438

0.30672

6,012

151

117

39.81457

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0

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0

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1

0.030769

false

0

0.023077

0

0.061538

0

null

0

null

0

1

0

edc2a9f255a5bcdbe6de9a345b01330bea716cf9

37,250

py

Python

gridwxcomp/calc_bias_ratios.py

DRI-WSWUP/grid-et-bias

91998b5827a8069563394b797b253e33c546765f

[ "Apache-2.0" ]

13

2019-04-02T20:21:34.000Z

2022-01-26T22:45:04.000Z

gridwxcomp/calc_bias_ratios.py

DRI-WSWUP/grid-et-bias

91998b5827a8069563394b797b253e33c546765f

[ "Apache-2.0" ]

20

2019-02-27T22:40:13.000Z

2021-05-28T03:06:48.000Z

gridwxcomp/calc_bias_ratios.py

DRI-WSWUP/gridwxcomp

91998b5827a8069563394b797b253e33c546765f

[ "Apache-2.0" ]

6

2019-04-02T17:28:31.000Z

2022-01-29T14:07:25.000Z

# -*- coding: utf-8 -*- """ Calculate monthly bias ratios of variables from climate station to overlapping gridMET (or other gridded dataset) cells. Input file for this module must first be created by running :mod:`gridwxcomp.prep_input` followed by :mod:`gridwxcomp.download_gridmet_opendap`. Attributes: GRID...

46.330846

96

0.61694

4,961

37,250

4.456964

0.123161

0.032563

0.012663

0.01203

0.451088

0.40066

0.36362

0.333318

0.32061

0.29474

0

0.008443

0.287785

37,250

803

97

46.388543

0.824991

0.423624

0

0.225058

0

0.164078

0.010111

0

1

0.011601

false

0

0.018561

0

0.032483

0.023202

0

null

0

null

0

1

0

edc4f04d08129c6528ed7f0c20d812230e0c3895

1,843

py

Python

wiiload/upload.py

fossabot/async-wiiload

a511ffe5646c2bd101a9e0ae064f6b3d35497fd3

[ "Apache-2.0" ]

null

wiiload/upload.py

fossabot/async-wiiload

a511ffe5646c2bd101a9e0ae064f6b3d35497fd3

[ "Apache-2.0" ]

1

2020-11-18T18:38:49.000Z

wiiload/upload.py

fossabot/async-wiiload

a511ffe5646c2bd101a9e0ae064f6b3d35497fd3

[ "Apache-2.0" ]

1

2020-11-18T18:38:03.000Z

import asyncio import os import struct import zlib from os import PathLike from typing import List WIILOAD_VERSION_MAJOR = 0 WIILOAD_VERSION_MINOR = 5 async def upload_bytes(dol: bytes, argv: List[str], host: str, port: int = 4299): """ Uploads a file it to a Wii. :param dol: The bytes of a file to uploa...

31.237288

91

0.669018

287

1,843

4.240418

0.351916

0.072309

0.069844

0.086278

0.459326

0.405094

0.36894

0.267872

0.157765

0

0.013122

0.214324

1,843

58

92

31.775862

0.827348

0.067282

0

0.024501

0

1

0

false

0

0.2

0

0.233333

0

null

0

null

0

1

0

edc7c2097af55e9aaf7fe9d4a5593d76f55f2e37

899

py

Python

WDCData/StockPankouDay.py

wangdecheng/QAStrategy

d970242ea61cff2f1a6f69545dc7f65e8efd1672

[ "MIT" ]

null

WDCData/StockPankouDay.py

wangdecheng/QAStrategy

d970242ea61cff2f1a6f69545dc7f65e8efd1672

[ "MIT" ]

null

WDCData/StockPankouDay.py

wangdecheng/QAStrategy

d970242ea61cff2f1a6f69545dc7f65e8efd1672

[ "MIT" ]

null

import pandas as pd from QUANTAXIS.QAUtil import ( DATABASE ) _table = DATABASE.stock_pankou_day date = '2021-11-30' # 选最后一天，因为是批量插入，有值就证明存在 def exists(code, field='turn'): data = _table.find_one({'code':code,'date':date}) if data is None: return False if data.get(field) is None: retu...

24.972222

70

0.648498

117

899

4.735043

0.512821

0.032491

0.043321

0.061372

0

0.058239

0.216908

899

36

71

24.972222

0.728693

0.082314

0

0.071429

0

0.087591

0

1

0.107143

false

0

0.071429

0.035714

0.357143

0.035714

0

null

0

null

0

1

0

edc957ed816ee1c41b0420f5364024791ce07016

576

py

Python

Registradora/Caixa registradora.py

gabrielsoaresg/Projetos-Python

7f05a000c30a03fb9fbdb0f493e0a996ef7258f1

[ "MIT" ]

null

Registradora/Caixa registradora.py

gabrielsoaresg/Projetos-Python

7f05a000c30a03fb9fbdb0f493e0a996ef7258f1

[ "MIT" ]

null

Registradora/Caixa registradora.py

gabrielsoaresg/Projetos-Python

7f05a000c30a03fb9fbdb0f493e0a996ef7258f1

[ "MIT" ]

null

print("\033[1m=-=" * 15) print("\033[1;32mLojas Tabajara\033[m". center(51)) print("=-=\033[m" * 15) cont = 1 somaP = 0 while True: p = float(input(f"Produto {cont}: R$ ")) cont += 1 somaP += p if p == 0: break print(f"\033[1;32mTotal: R${somaP:.2f}\033[m") pagamento = float(input("\033[1mDinhei...

27.428571

58

0.597222

92

576

3.73913

0.358696

0.069767

0.052326

0.05814

0.215116

0

0.142251

0.182292

576

20

59

28.8

0.58811

0

0.1

0

0.375

0

1

0

false

0

0.3

0

null

0

null

0

1

0

edcad0e725dcaee58a1b72be7bb3b88e8f32af90

3,196

py

Python

webserver.py

Ductapemaster/raspi_datalogger

7c5b54a6a7617fef816aa1410069fb755f167d13

[ "MIT" ]

null

webserver.py

Ductapemaster/raspi_datalogger

7c5b54a6a7617fef816aa1410069fb755f167d13

[ "MIT" ]

null

webserver.py

Ductapemaster/raspi_datalogger

7c5b54a6a7617fef816aa1410069fb755f167d13

[ "MIT" ]

null

from flask import Flask, render_template, request from flask_bootstrap import Bootstrap import json from datetime import datetime from influxdb import InfluxDBClient import secrets import settings influx_client = InfluxDBClient(secrets.influx_database_server, secrets.influx_database_port...

31.333333

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null

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null

0

1

0

edcce2b8aaea1ebf0e1d0a125ecc6f07e55bf3eb

3,284

py

Python

db_wrapper/tests/sqlalchemy_test.py

Alecyrus/Ares

228c602f41d9ad1cfdc9f9bc25964b6bcc9d746b

[ "MIT" ]

2

2017-04-01T07:05:23.000Z

2017-09-09T02:19:50.000Z

db_wrapper/tests/sqlalchemy_test.py

Alecyrus/Ares

228c602f41d9ad1cfdc9f9bc25964b6bcc9d746b

[ "MIT" ]

null

db_wrapper/tests/sqlalchemy_test.py

Alecyrus/Ares

228c602f41d9ad1cfdc9f9bc25964b6bcc9d746b

[ "MIT" ]

null

import sys, os.path sys.path.append(os.path.dirname(os.path.dirname(__file__))) # from brett_sqlalchemy import * # Can not perform relative when it's parent module is not loaded, so I have to change the system's import path. from main import * import unittest from sqlalchemy.ext.declarative import declarative_base imp...

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edce3a2737d93538f5eca2f4d5c2a1e9ad86dba9

31,641

py

Python

web/indexData/demandSrc.py

BennyJane/career-planning-info

406b41dc2913fce8623609efe4885abd9474cb6d

[ "MIT" ]

1

2021-01-11T01:37:18.000Z

web/indexData/demandSrc.py

BennyJane/career-planning-info

406b41dc2913fce8623609efe4885abd9474cb6d

[ "MIT" ]

null

web/indexData/demandSrc.py

BennyJane/career-planning-info

406b41dc2913fce8623609efe4885abd9474cb6d

[ "MIT" ]

null

# 整理各个阶段的技能要求 """ 分大类: Python(语言类): 数据库: 服务器: 其他: """ fourth_chart = {'first': [ {'demands': ['精通Python语言', '熟悉Python多进程应用开发', '熟练掌握至少一门PythonWeb开发框架（Tornado、Django、Flask等)', '熟练使用mysql，redis,mongodb', '熟悉Linux、分布式、微服务、高性能Web服务开发、有一定的系统架构设计能力者优先...

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edce4f4141a5bb74893123cda4abba91dc993dbf

2,861

py

Python

Heap.py

13472889991/DataStructures-Algorithms

3eb219460f0f8108bb3c07c4de5544df412e189e

[ "MIT" ]

null

Heap.py

13472889991/DataStructures-Algorithms

3eb219460f0f8108bb3c07c4de5544df412e189e

[ "MIT" ]

null

Heap.py

13472889991/DataStructures-Algorithms

3eb219460f0f8108bb3c07c4de5544df412e189e

[ "MIT" ]

null

class Heap(): def __init__(self, lst): self.lst = lst def __str__(self): return str(self.lst) # Returns left child index of node, runs in 0(1) time.Returns none if D.N.E def left(self, index): index += 1 if 2 * index >= len(self.lst) + 1: return None ...

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null

0

null

0

1

0

edd3649e914776cccbee89a84d07e5264b3936d4

3,062

py

Python

locust_exporter.py

nobusugi246/locust-exporter

3d7511f61ee46da857eef1b9f305a92f820ab615

[ "MIT" ]

null

locust_exporter.py

nobusugi246/locust-exporter

3d7511f61ee46da857eef1b9f305a92f820ab615

[ "MIT" ]

null

locust_exporter.py

nobusugi246/locust-exporter

3d7511f61ee46da857eef1b9f305a92f820ab615

[ "MIT" ]

null

#!/usr/bin/python from prometheus_client import start_http_server, Metric, REGISTRY from prometheus_client.core import GaugeMetricFamily, CounterMetricFamily import json import requests import sys import time class LocustCollector(object): def __init__(self, ep): self._ep = ep def collect(self): # Fetch t...

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null

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null

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1

0

edd3a35df965b681fd71b0b10561268de5b79d93

2,213

py

Python

checkio/Hermit/Hexagon Spiral/test_hexagon_spiral.py

KenMercusLai/checkio

c7702221e1bc0b0b30425859ffa6c09722949d65

[ "MIT" ]

39

2015-02-09T13:24:12.000Z

2019-05-16T17:51:19.000Z

checkio/Hermit/Hexagon Spiral/test_hexagon_spiral.py

KenMercusLai/checkio

c7702221e1bc0b0b30425859ffa6c09722949d65

[ "MIT" ]

1

2019-10-21T16:18:14.000Z

checkio/Hermit/Hexagon Spiral/test_hexagon_spiral.py

KenMercusLai/checkio

c7702221e1bc0b0b30425859ffa6c09722949d65

[ "MIT" ]

22

2015-01-30T18:00:05.000Z

2021-05-22T02:57:23.000Z

import unittest from hexagon_spiral import hex_spiral class Tests(unittest.TestCase): TESTS = { "Basics": [ {"input": [2, 9], "answer": 1, "explanation": 2}, {"input": [9, 2], "answer": 1, "explanation": 2}, {"input": [6, 19], "answer": 2, "explanation": 7}, ...

45.163265

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2,213

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2,213

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null

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null

0

1

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edd44fd69a54eee9f7ca6b87c411e44a3378064a

6,995

py

Python

examples/py/tencent_road_map.py

KarcyLee/folium

c0fa6c217842f973037dc7ea8e871855069057f7

[ "MIT" ]

null

examples/py/tencent_road_map.py

KarcyLee/folium

c0fa6c217842f973037dc7ea8e871855069057f7

[ "MIT" ]

null

examples/py/tencent_road_map.py

KarcyLee/folium

c0fa6c217842f973037dc7ea8e871855069057f7

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # 腾讯地图示意图 from __future__ import print_function import random import folium from folium.features import DivIcon from folium.plugins import MarkerCluster, RotatedMarker, PolyLineTextPath, DirectedLine def tencent_marker(out_dir="../../out"): """ 腾讯地图，打点 :param...

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6,995

4.288788

0.175538

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0.0338

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null

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null

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edd4a7a68b6a7e9dfa514b2b3b2ebe8065ec98d0

19,804

py

Python

explainaboard/tasks/cws/eval_spec.py

Shadowlized/ExplainaBoard

45f1c27468e528f8f88df4b01e10253ba96d3a9b

[ "MIT" ]

255

2021-04-14T11:21:35.000Z

2022-03-27T01:59:05.000Z

explainaboard/tasks/cws/eval_spec.py

ROGERDJQ/ExplainaBoard

4a2a5aeb9cce33198aa748252f9206c6391a695c

[ "MIT" ]

128

2021-04-15T14:30:13.000Z

2022-03-31T18:22:40.000Z

explainaboard/tasks/cws/eval_spec.py

ROGERDJQ/ExplainaBoard

4a2a5aeb9cce33198aa748252f9206c6391a695c

[ "MIT" ]

27

2021-04-14T15:20:22.000Z

2022-03-28T07:21:54.000Z

from random import choices import explainaboard.error_analysis as ea import numpy import pickle import codecs import os def read_data(corpus_type, fn, column_no=-1, delimiter=' '): print('corpus_type', corpus_type) word_sequences = list() tag_sequences = list() total_word_sequences = list() total...

42.13617

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19,804

4.640052

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0.013952

0.020556

0.014231

0.386383

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0.183704

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0

null

0

null

0

1

0

edd644d6be6dcd949445336e892644d72635cc12

476

py

Python

ci/kubetest/test_posthog_hpa_enabled.py

momentumdash/charts-clickhouse

9f8ef82f11db186810fcf98dd789ff4b0c1eed95

[ "MIT" ]

null

ci/kubetest/test_posthog_hpa_enabled.py

momentumdash/charts-clickhouse

9f8ef82f11db186810fcf98dd789ff4b0c1eed95

[ "MIT" ]

null

ci/kubetest/test_posthog_hpa_enabled.py

momentumdash/charts-clickhouse

9f8ef82f11db186810fcf98dd789ff4b0c1eed95

[ "MIT" ]

null

import pytest from helpers.utils import cleanup_k8s, helm_install, wait_for_pods_to_be_ready HELM_INSTALL_CMD = """ helm upgrade \ --install \ -f ../../ci/values/kubetest/test_posthog_hpa_enabled.yaml \ --timeout 30m \ --create-namespace \ --namespace posthog \ posthog ../../charts/posthog \ ...

21.636364

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0.091503

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476

21

79

22.666667

0.77635

0

0.493697

0.113445

0

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false

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0.176471

0

null

0

null

0

1

0

edd7c9fc4d4c13cce5799a53fe7796fa6ce013ec

1,379

py

Python

python/biograph/variants/add_ref_test.py

spiralgenetics/biograph

33c78278ce673e885f38435384f9578bfbf9cdb8

[ "BSD-2-Clause" ]

16

2021-07-14T23:32:31.000Z

2022-03-24T16:25:15.000Z

python/biograph/variants/add_ref_test.py

spiralgenetics/biograph

33c78278ce673e885f38435384f9578bfbf9cdb8

[ "BSD-2-Clause" ]

9

2021-07-20T20:39:47.000Z

2021-09-16T20:57:59.000Z

python/biograph/variants/add_ref_test.py

spiralgenetics/biograph

33c78278ce673e885f38435384f9578bfbf9cdb8

[ "BSD-2-Clause" ]

9

2021-07-15T19:38:35.000Z

2022-01-31T19:24:56.000Z

# pylint: disable=missing-docstring from __future__ import print_function import unittest import biograph import biograph.variants as bgexvar class ReadCovTestCases(unittest.TestCase): @classmethod def setUpClass(cls): cls.bg = biograph.BioGraph("datasets/lambdaToyData/benchmark/father_lambda.bg") ...

33.634146

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false

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null

0

null

0

1

0

edd7dcbe7e77249b8bc05cc82a6e9d24f74df2a3

924

py

Python

tools/trading/quotes.py

renoneto/swing_trading

1d176d7e42bca6028efcb1869ec648824c535fe1

[ "MIT" ]

8

2020-06-19T11:23:44.000Z

2022-02-11T00:52:29.000Z

tools/trading/quotes.py

renoneto/swing_trading

1d176d7e42bca6028efcb1869ec648824c535fe1

[ "MIT" ]

5

2020-05-16T18:14:24.000Z

2021-12-13T20:40:25.000Z

tools/trading/quotes.py

renoneto/swing_trading

1d176d7e42bca6028efcb1869ec648824c535fe1

[ "MIT" ]

2

2020-05-16T23:31:04.000Z

2021-06-06T18:40:01.000Z

import requests def get_quotes(access_token, my_client, symbols): """ Function to get quotes of a list of stocks """ # Convert list to string str_symbols = ','.join(symbols) # define our headers header = {'Authorization':"Bearer {}".format(access_token), ...

28

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null

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