xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

5401d3f8943311c53015fddf7d9a9c7b00d0c8d8

6,784

py

Python

solver.py

IvoryCandy/char-rnn

a21f3b198770c6c9bef0171bf31b2a1710066da8

[ "Apache-2.0" ]

null

solver.py

IvoryCandy/char-rnn

a21f3b198770c6c9bef0171bf31b2a1710066da8

[ "Apache-2.0" ]

null

solver.py

IvoryCandy/char-rnn

a21f3b198770c6c9bef0171bf31b2a1710066da8

[ "Apache-2.0" ]

null

import math import numpy as np import torch from torch import nn from torch.backends import cudnn from torch.utils.data import DataLoader from tqdm import tqdm from model import CharRNN from data import TextDataset, TextConverter class Trainer(object): def __init__(self, args): self.args = args ...

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0

1

0

540226b4bbeda54cd1c6e6f8ca8daa02d21b75b8

17,360

py

Python

mayday_control/scripts/motion_control.py

LasseBoerresen/Mayday

3e40d9f3eb2727f78cfa915e19fb5706b6a53514

[ "MIT" ]

2

2020-08-20T15:44:44.000Z

2021-09-27T07:21:59.000Z

mayday_control/scripts/motion_control.py

LasseBoerresen/Mayday

3e40d9f3eb2727f78cfa915e19fb5706b6a53514

[ "MIT" ]

9

2018-03-02T15:21:22.000Z

2020-11-07T12:23:09.000Z

mayday_control/scripts/motion_control.py

LasseBoerresen/Mayday

3e40d9f3eb2727f78cfa915e19fb5706b6a53514

[ "MIT" ]

null

#!/usr/bin/env python import time import random import math import unittest import numpy as np import pandas as pd import std_msgs from std_msgs.msg import String # from control_msgs.msg import JointControllerState # from gazebo_msgs.msg import LinkStates # import matplotlib.pyplot as plt import dynamixel_adapter ##...

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5402f5bc7398b19a2c1f22b4890e4f4b84f51e3e

10,278

py

Python

venv/lib/python3.9/site-packages/trio/socket.py

almmello/frozen

c9928491f694b56a0023926bc763c703ba1fd75a

[ "BSD-2-Clause" ]

3

2022-02-26T17:16:34.000Z

2022-03-04T15:04:00.000Z

venv/lib/python3.9/site-packages/trio/socket.py

almmello/frozen

c9928491f694b56a0023926bc763c703ba1fd75a

[ "BSD-2-Clause" ]

20

2021-05-03T18:02:23.000Z

2022-03-12T12:01:04.000Z

venv/lib/python3.9/site-packages/trio/socket.py

almmello/frozen

c9928491f694b56a0023926bc763c703ba1fd75a

[ "BSD-2-Clause" ]

1

2022-03-28T09:19:34.000Z

# This is a public namespace, so we don't want to expose any non-underscored # attributes that aren't actually part of our public API. But it's very # annoying to carefully always use underscored names for module-level # temporaries, imports, etc. when implementing the module. So we put the # implementation in an under...

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54036005b75aaa482dfeae48fd25d054393283e1

2,258

py

Python

tests/test_encoders.py

alxlampe/d3rlpy

af7e6bd018a51f95138d121f59c50dc36ec87e3a

[ "MIT" ]

null

tests/test_encoders.py

alxlampe/d3rlpy

af7e6bd018a51f95138d121f59c50dc36ec87e3a

[ "MIT" ]

null

tests/test_encoders.py

alxlampe/d3rlpy

af7e6bd018a51f95138d121f59c50dc36ec87e3a

[ "MIT" ]

null

import pytest from d3rlpy.models.torch.encoders import PixelEncoder from d3rlpy.models.torch.encoders import PixelEncoderWithAction from d3rlpy.models.torch.encoders import VectorEncoder from d3rlpy.models.torch.encoders import VectorEncoderWithAction from d3rlpy.encoders import create_encoder_factory from d3rlpy.enco...

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null

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5406dab8bc4f61a6b8581ae628a67e2632c2d5cd

2,217

py

Python

cam/03_face_recognition.py

kimtaehoho/osscap2020

7980ab742a1a90fb4405eeabe941504a0b859d20

[ "Apache-2.0" ]

null

cam/03_face_recognition.py

kimtaehoho/osscap2020

7980ab742a1a90fb4405eeabe941504a0b859d20

[ "Apache-2.0" ]

10

2020-10-12T04:45:01.000Z

2020-11-29T12:40:55.000Z

cam/03_face_recognition.py

kimtaehoho/osscap2020

7980ab742a1a90fb4405eeabe941504a0b859d20

[ "Apache-2.0" ]

1

2020-10-12T12:28:42.000Z

# -*- coding: utf-8 -*- #import game from glob import glob file1 = glob("01_face_dataset.py") file2 = glob("02_face_training.py") import facedataset import facetrain import cv2 import numpy as np import os from PIL import Image #facedataset.first() #facetrain.second() recognizer = cv2.face.LBPHFaceRecognizer_create() ...

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540828fed7b9b1cf90bafa38feea72b4a282cfd0

1,047

py

Python

deprecated/dpr/code/encoder.py

eunaoeh/mrc-level2-nlp-01

caa893ca7d689200b3528377901d59fa9ca452ac

[ "MIT" ]

1

2021-11-25T04:30:51.000Z

deprecated/dpr/code/encoder.py

eunaoeh/mrc-level2-nlp-01

caa893ca7d689200b3528377901d59fa9ca452ac

[ "MIT" ]

null

deprecated/dpr/code/encoder.py

eunaoeh/mrc-level2-nlp-01

caa893ca7d689200b3528377901d59fa9ca452ac

[ "MIT" ]

5

2021-11-21T22:53:40.000Z

2022-02-23T09:22:25.000Z

from transformers import ( RobertaModel, RobertaPreTrainedModel, BertModel, BertPreTrainedModel, ) class BertEncoder(BertPreTrainedModel): def __init__(self, config): super(BertEncoder, self).__init__(config) self.bert = BertModel(config) self.init_weights() def forwa...

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null

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0

5408382e17eaa39a39eec48a1a272c02bf244807

3,395

py

Python

tutorial/calculator/calculator.002.py

UltraStudioLTD/pyTermTk

a1e96b0e7f43906b9fda0b16f19f427919a055c2

[ "MIT" ]

1

2022-02-28T16:33:25.000Z

tutorial/calculator/calculator.002.py

UltraStudioLTD/pyTermTk

a1e96b0e7f43906b9fda0b16f19f427919a055c2

[ "MIT" ]

null

tutorial/calculator/calculator.002.py

UltraStudioLTD/pyTermTk

a1e96b0e7f43906b9fda0b16f19f427919a055c2

[ "MIT" ]

null

#!/usr/bin/env python3 # MIT License # # Copyright (c) 2022 Eugenio Parodi <ceccopierangiolieugenio AT googlemail DOT com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restricti...

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540dd2561e2691981ca01c923a08b27ff3e24e2d

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py

Python

builder/schedule.py

MyConbook/datatool

1c12bb5124b48ae827c4832896fd81bf711ad44e

[ "Apache-2.0" ]

null

builder/schedule.py

MyConbook/datatool

1c12bb5124b48ae827c4832896fd81bf711ad44e

[ "Apache-2.0" ]

null

builder/schedule.py

MyConbook/datatool

1c12bb5124b48ae827c4832896fd81bf711ad44e

[ "Apache-2.0" ]

null

import icalendar import urllib2 import hashlib import string import re import datetime from database import Database, TableHandler class Schedule(TableHandler): columns = [("Title", Database.C_TCN), "Description", ("Category", Database.C_TCN), ("Location", Database.C_TCN), ("StartDate", Database.C_D), ("EndDate", Dat...

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0.161443

2,106

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null

0

null

0

1

0

540f2aeaaaa0eee405144a0e73dbe2a9199426b2

1,697

py

Python

Search in a Binary Search Tree.py

frank0215/Leetcode_python

9428ded4f9abd347b12bfef8aa1dd2d177f3afea

[ "MIT" ]

null

Search in a Binary Search Tree.py

frank0215/Leetcode_python

9428ded4f9abd347b12bfef8aa1dd2d177f3afea

[ "MIT" ]

null

Search in a Binary Search Tree.py

frank0215/Leetcode_python

9428ded4f9abd347b12bfef8aa1dd2d177f3afea

[ "MIT" ]

null

class TreeNode: def __init__(self, val, left=None, right=None): self.val = val self.right = right self.left = left class Solution: def searchBST(self, root, val): # if not root: # return None # if root.val == val: # return root ...

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0.052632

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null

0

null

0

1

0

541271297050a8dd2d540558c72d94871ade9a15

1,019

py

Python

src/data/process_HJ_data.py

simran-grewal/COVID-19-Data-Analysis

8751aa75c451e956d5b1d1e2d6f2ffbec8dc673a

[ "FTL" ]

null

src/data/process_HJ_data.py

simran-grewal/COVID-19-Data-Analysis

8751aa75c451e956d5b1d1e2d6f2ffbec8dc673a

[ "FTL" ]

null

src/data/process_HJ_data.py

simran-grewal/COVID-19-Data-Analysis

8751aa75c451e956d5b1d1e2d6f2ffbec8dc673a

[ "FTL" ]

null

import subprocess import os import numpy as np import pandas as pd from datetime import datetime def store_relational_JH_data(): pd_raw = pd.read_csv('../data/raw/COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv') pd_data_base = pd_raw.rename(columns={'Country/Re...

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null

0

null

0

1

0

5414770e7a98cb88e29d0f46a7ec2949accc8e44

1,023

py

Python

wasm-server.py

erique/pt2-clone

f3376a5a40316f15e82feaa321673a8611c31a53

[ "BSD-3-Clause" ]

null

wasm-server.py

erique/pt2-clone

f3376a5a40316f15e82feaa321673a8611c31a53

[ "BSD-3-Clause" ]

null

wasm-server.py

erique/pt2-clone

f3376a5a40316f15e82feaa321673a8611c31a53

[ "BSD-3-Clause" ]

null

# Python 3 import sys import socketserver from http.server import SimpleHTTPRequestHandler class WasmHandler(SimpleHTTPRequestHandler): def __init__(self, *args, **kwargs): super().__init__(*args, directory="release/emscripten", **kwargs) def do_GET(self): if self.path == '/': self...

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0

null

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0

5414822b05eb873a76f59d1b99fc4fca71aebfa2

1,850

py

Python

stage.py

boularbahsmail/Asteroids-Game

ef4ae8d2e66ea2875aba83f512610b4da56c9ef1

[ "CNRI-Python" ]

2

2021-03-25T23:02:50.000Z

2021-03-26T10:41:33.000Z

stage.py

boularbahsmail/Asteroids-Game

ef4ae8d2e66ea2875aba83f512610b4da56c9ef1

[ "CNRI-Python" ]

null

stage.py

boularbahsmail/Asteroids-Game

ef4ae8d2e66ea2875aba83f512610b4da56c9ef1

[ "CNRI-Python" ]

null

import pygame import sys import os from pygame.locals import * class Stage: # Set up the PyGame surface def __init__(self, caption, dimensions=None): pygame.init() # If no screen size is provided pick the first available mode if dimensions == None: dimensions = pygame.di...

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null

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null

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1

0

5414c4d1cd6ab405e144265b135b1ae64b919a77

2,596

py

Python

web/MicroservicesAsAservice/src/notes/app.py

NoXLaw/RaRCTF2021-Challenges-Public

1a1b094359b88f8ebbc83a6b26d27ffb2602458f

[ "MIT" ]

null

web/MicroservicesAsAservice/src/notes/app.py

NoXLaw/RaRCTF2021-Challenges-Public

1a1b094359b88f8ebbc83a6b26d27ffb2602458f

[ "MIT" ]

null

web/MicroservicesAsAservice/src/notes/app.py

NoXLaw/RaRCTF2021-Challenges-Public

1a1b094359b88f8ebbc83a6b26d27ffb2602458f

[ "MIT" ]

null

from flask import Flask, request, jsonify, render_template_string import redis import requests import re import json import sys app = Flask(__name__) @app.route('/getid/<username>') def getid(username): red = redis.Redis(host="redis_users") return red.get(username).decode() @app.route('/useraction', methods...

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54156bd3caed9e41e591c736c817a669d7acd84f

1,195

py

Python

divisiones.py

badgercl/scrappers-congreso-chile

ae2f3f451f6fa90a4964f2c476aecdfc2c5254ee

[ "MIT" ]

null

divisiones.py

badgercl/scrappers-congreso-chile

ae2f3f451f6fa90a4964f2c476aecdfc2c5254ee

[ "MIT" ]

null

divisiones.py

badgercl/scrappers-congreso-chile

ae2f3f451f6fa90a4964f2c476aecdfc2c5254ee

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup import json import pprint url = 'https://www.bcn.cl/siit/divisionelectoral/index.htm' res = requests.get(url) soup = BeautifulSoup(res.text, 'html.parser') rows = soup.find_all('tbody')[1].find_all('tr') region = "" circunscripcion = "" distrito = "" comuna = "" region...

23.9

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0.147583

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null

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1

0

5419760ed6778cfb73074dd68ffc3b8c58ad8780

685

py

Python

aws-auth-manager/src/awsauthmanager/app.py

zepplen/aws_tokens

9249ba00ea0b39ac3c523a9ea3ee2485436e84ef

[ "MIT" ]

null

aws-auth-manager/src/awsauthmanager/app.py

zepplen/aws_tokens

9249ba00ea0b39ac3c523a9ea3ee2485436e84ef

[ "MIT" ]

null

aws-auth-manager/src/awsauthmanager/app.py

zepplen/aws_tokens

9249ba00ea0b39ac3c523a9ea3ee2485436e84ef

[ "MIT" ]

null

#################################################### # (C) Mark Trimmer, 2016, All Rights Reserved # # File Name: app.py # # Creation Date: 28-12-2016 # # Created By: Mark Trimmer # # Purpose: # #################################################### from __future__ import print_function from credentialfile import Creden...

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25

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null

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1

0

541acc6e7acab303b472692f00ec1a571d8c6ad5

1,027

py

Python

demo/app/libs/description.py

suenklerhaw/seoeffekt

0a31fdfa1a7246da37e37bf53c03d94c5f13f095

[ "MIT" ]

1

2022-02-15T14:03:10.000Z

demo/app/libs/description.py

suenklerhaw/seoeffekt

0a31fdfa1a7246da37e37bf53c03d94c5f13f095

[ "MIT" ]

null

demo/app/libs/description.py

suenklerhaw/seoeffekt

0a31fdfa1a7246da37e37bf53c03d94c5f13f095

[ "MIT" ]

null

#check description from bs4 import BeautifulSoup import lxml.html def check_description(tree): description = "" xpath_meta = "//meta[@name='description']/@content" xpath_og_property = "//meta[@property='og:description']/@content" xpath_og_name = "//meta[@name='og:description']/@content" meta_conte...

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0

541b0dd061b1cb2fb2dd1d60f50109368732184b

919

py

Python

backend/projectfiles/GradleProjectFile.py

karllindmark/IsYourProjectUpToDate

ce2df36b8fa39a4732b05dfd75558a914e4e990b

[ "Apache-2.0" ]

null

backend/projectfiles/GradleProjectFile.py

karllindmark/IsYourProjectUpToDate

ce2df36b8fa39a4732b05dfd75558a914e4e990b

[ "Apache-2.0" ]

null

backend/projectfiles/GradleProjectFile.py

karllindmark/IsYourProjectUpToDate

ce2df36b8fa39a4732b05dfd75558a914e4e990b

[ "Apache-2.0" ]

null

import re from backend.projectfiles.GenericProjectFile import GenericProjectFile QUOTE = r'(?:["|\'])' STRING = r'([\w\.\-\+]+)' GAV_REGEXP = QUOTE + '(?:' + ":".join([STRING, STRING, STRING]) + ')' + QUOTE class GradleProjectFile(GenericProjectFile): """ Gradle project file implementation to extract dependenc...

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null

0

null

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0

541db46f26a3ec258d9d85654ca98eae0553065a

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py

Python

pysal/contrib/geotable/utils.py

cubensys/pysal

8d50990f6e6603ba79ae1a887a20a1e3a0734e51

[ "MIT", "BSD-3-Clause" ]

null

pysal/contrib/geotable/utils.py

cubensys/pysal

8d50990f6e6603ba79ae1a887a20a1e3a0734e51

[ "MIT", "BSD-3-Clause" ]

null

pysal/contrib/geotable/utils.py

cubensys/pysal

8d50990f6e6603ba79ae1a887a20a1e3a0734e51

[ "MIT", "BSD-3-Clause" ]

1

2021-07-19T01:46:17.000Z

from ...cg import asShape as pShape from ...common import requires as _requires from warnings import warn @_requires('geopandas') def to_df(df, geom_col='geometry', **kw): """ Convert a Geopandas dataframe into a normal pandas dataframe with a column containing PySAL shapes. Always returns a copy. Ar...

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0

null

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0

541de3fcd94ea7163228d56302142fff219657ee

287

py

Python

torrent/torrent_tracker/whitelist_api/urls.py

projectpai/paipass

8b8e70b6808bf026cf957e240c7eed7bfcf4c55d

[ "MIT" ]

3

2021-04-17T10:20:26.000Z

2022-03-08T07:36:13.000Z

torrent/torrent_tracker/whitelist_api/urls.py

projectpai/paipass

8b8e70b6808bf026cf957e240c7eed7bfcf4c55d

[ "MIT" ]

null

torrent/torrent_tracker/whitelist_api/urls.py

projectpai/paipass

8b8e70b6808bf026cf957e240c7eed7bfcf4c55d

[ "MIT" ]

null

from django.urls import path from whitelist_api.views import AddTorrentInfoHash, RemoveTorrentInfoHash app_name = 'whitelist_api' urlpatterns = [ path('add-torrent-info-hash/', AddTorrentInfoHash.as_view()), path('del-torrent-info-hash/', RemoveTorrentInfoHash.as_view()), ]

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null

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541e93e13927b8ffff8b83f86083ffe9dd7cdee8

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py

Python

vega/core/metrics/pytorch/flops_and_params.py

qixiuai/vega

3e6588ea4aedb03e3594a549a97ffdb86adb88d1

[ "MIT" ]

null

vega/core/metrics/pytorch/flops_and_params.py

qixiuai/vega

3e6588ea4aedb03e3594a549a97ffdb86adb88d1

[ "MIT" ]

null

vega/core/metrics/pytorch/flops_and_params.py

qixiuai/vega

3e6588ea4aedb03e3594a549a97ffdb86adb88d1

[ "MIT" ]

null

# -*- coding:utf-8 -*- # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # This program is free software; you can redistribute it and/or modify # it under the terms of the MIT License. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the ...

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null

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1

0

5423f2c125c3cb768b4a0cd17051477a73148c1a

16,691

py

Python

gbot/libs/helper.py

dgw/goshu

3cba300d92f9bde58cf7348ddc3183d52b4c4bcf

[ "ISC" ]

5

2015-01-03T00:08:58.000Z

2017-05-05T11:57:03.000Z

gbot/libs/helper.py

dgw/goshu

3cba300d92f9bde58cf7348ddc3183d52b4c4bcf

[ "ISC" ]

3

2016-02-07T07:35:13.000Z

2016-11-26T19:29:02.000Z

gbot/libs/helper.py

dgw/goshu

3cba300d92f9bde58cf7348ddc3183d52b4c4bcf

[ "ISC" ]

1

2020-11-12T09:09:06.000Z

#!/usr/bin/env python3 # Goshu IRC Bot # written by Daniel Oaks <daniel@danieloaks.net> # licensed under the ISC license """extends several builtin functions and provides helper functions The default Python library is extensive and well-stocked. There are some times however, you wish a small task was taken care of for...

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null

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null

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1

0

542b464eeb35182c67fc88683f7b87c523d2bec7

5,982

py

Python

sequential/seq_smnist/train_args_seq_smnist.py

mariacer/cl_in_rnns

333b8e03391600a8e3df7d684a3f171b135d273a

[ "Apache-2.0" ]

26

2020-06-17T08:44:15.000Z

2022-03-20T04:21:13.000Z

sequential/seq_smnist/train_args_seq_smnist.py

mariacer/cl_in_rnns

333b8e03391600a8e3df7d684a3f171b135d273a

[ "Apache-2.0" ]

null

sequential/seq_smnist/train_args_seq_smnist.py

mariacer/cl_in_rnns

333b8e03391600a8e3df7d684a3f171b135d273a

[ "Apache-2.0" ]

4

2020-10-26T02:19:38.000Z

2021-12-26T02:26:05.000Z

#!/usr/bin/env python3 # Copyright 2019 Benjamin Ehret, Maria Cervera # # 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 ...

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null

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542b4d4125780654fe2bbd178dc02f72ba260ddd

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py

Python

examples/compare.py

guo-yong-zhi/wordcloud2

43d34766323e8eec45d46eeaa98537849f48cd37

[ "MIT" ]

null

examples/compare.py

guo-yong-zhi/wordcloud2

43d34766323e8eec45d46eeaa98537849f48cd37

[ "MIT" ]

null

examples/compare.py

guo-yong-zhi/wordcloud2

43d34766323e8eec45d46eeaa98537849f48cd37

[ "MIT" ]

null

from wordcloud2 import wordcloud as W import os from PIL import Image stwords = {"us", "will"} print("==Obama's==") cs = W.randomscheme() #:Set1_8 as_ = W.randomangles() #(0,90,45,-45) dens = 0.5 #not too high wca = W.wordcloud( W.processtext(open(W.pkgdir(W.WordCloud)+"/res/Barack Obama's First Inaugural Address...

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null

0

null

0

1

0

542b9661a1d12114a162b51bacab5cac808471e8

3,520

py

Python

modules/insight/nbCurvesLevelSet.py

chrisidefix/devide

99bfe156e710fa47ba7ae88b0ce1eef592a3a439

[ "BSD-3-Clause" ]

25

2015-08-24T16:05:14.000Z

2020-12-09T20:07:14.000Z

modules/insight/nbCurvesLevelSet.py

chrisidefix/devide

99bfe156e710fa47ba7ae88b0ce1eef592a3a439

[ "BSD-3-Clause" ]

1

2016-02-16T21:18:10.000Z

modules/insight/nbCurvesLevelSet.py

chrisidefix/devide

99bfe156e710fa47ba7ae88b0ce1eef592a3a439

[ "BSD-3-Clause" ]

5

2016-02-16T20:05:37.000Z

2020-01-31T11:27:39.000Z

# Copyright (c) Charl P. Botha, TU Delft # All rights reserved. # See COPYRIGHT for details. import itk import module_kits.itk_kit as itk_kit from module_base import ModuleBase from module_mixins import ScriptedConfigModuleMixin class nbCurvesLevelSet(ScriptedConfigModuleMixin, ModuleBase): def __init__(self, mo...

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0.292308

0

null

0

null

0

1

0

58087fdf8d89ae3ca538e157ca99613c2f7a205f

2,835

py

Python

setup.py

ThomasChiroux/ejabberd_external_auth_jwt

fce68cca70ca578b3c1c002a4dea2aa65e3150c1

[ "MIT" ]

null

setup.py

ThomasChiroux/ejabberd_external_auth_jwt

fce68cca70ca578b3c1c002a4dea2aa65e3150c1

[ "MIT" ]

null

setup.py

ThomasChiroux/ejabberd_external_auth_jwt

fce68cca70ca578b3c1c002a4dea2aa65e3150c1

[ "MIT" ]

null

# # Copyright 2018-2019 Happineo # """setuptools installer for zamita.""" import os import uuid from setuptools import find_packages from setuptools import setup from setuptools.command.build_py import build_py # local imports from build_scripts.version import VersionInfo HERE = os.path.abspath(os.path.dirname(__fi...

27.794118

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0

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0

0.103896

0

null

0

null

0

1

0

5808c926d701d604229b7c9061a8576e5eb62676

4,724

py

Python

Analysis/Feb2021/common_plotting.py

TimChild/dat_analysis

2902e5cb2f2823a1c7a26faf6b3b6dfeb7633c73

[ "MIT" ]

2

2021-03-07T03:17:13.000Z

2021-03-07T03:17:16.000Z

Analysis/Feb2021/common_plotting.py

TimChild/dat_analysis

2902e5cb2f2823a1c7a26faf6b3b6dfeb7633c73

[ "MIT" ]

1

2021-03-09T00:00:52.000Z

Analysis/Feb2021/common_plotting.py

TimChild/dat_analysis

2902e5cb2f2823a1c7a26faf6b3b6dfeb7633c73

[ "MIT" ]

null

""" Sep 21 -- A few of the plots used in analysis, very far from a complete list, and probably most are too specific to be useful again. Moved useful functions from here. """ from __future__ import annotations from typing import List, Callable, Optional, Union, TYPE_CHECKING import numpy as np from dat_analysis.anal...

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0

0.107692

0

null

0

null

0

1

0

580a05b1f8e364040a8ccda54856a6eead097400

9,980

py

Python

Code/sphero_learn.py

rvarga601/IER

1cf05e641dea2fb3b4ad5329e3e556713cc199fe

[ "MIT" ]

null

Code/sphero_learn.py

rvarga601/IER

1cf05e641dea2fb3b4ad5329e3e556713cc199fe

[ "MIT" ]

null

Code/sphero_learn.py

rvarga601/IER

1cf05e641dea2fb3b4ad5329e3e556713cc199fe

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon May 10 23:54:16 2021 @author: rolandvarga """ import gym import numpy as np import matplotlib.pyplot as plt import time from scipy.signal import savgol_filter import pickle #%matplotlib qt #%matplotlib inline # Set to 1 to repeat SARSA learning (With...

30.993789

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0.577154

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9,980

4.379875

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0.032057

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0

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false

0

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0

0.066265

0.018072

0

null

0

null

0

1

0

580b61225012c491f65cb5e42655216093dbdb35

8,952

py

Python

HW7/kernel_eigenface.py

joycenerd/Machine_Learning_2021

ecb634a9f2f1112a393a9707ce69c3bc751c4542

[ "MIT" ]

1

2021-11-18T09:22:21.000Z

HW7/kernel_eigenface.py

joycenerd/Machine_Learning_2021

ecb634a9f2f1112a393a9707ce69c3bc751c4542

[ "MIT" ]

null

HW7/kernel_eigenface.py

joycenerd/Machine_Learning_2021

ecb634a9f2f1112a393a9707ce69c3bc751c4542

[ "MIT" ]

null

from scipy.spatial.distance import cdist from numpy.linalg import eig, norm, pinv import matplotlib.pyplot as plt from PIL import Image import numpy as np import argparse import ntpath import glob import os parser = argparse.ArgumentParser() parser.add_argument("--option", type=str, default="PCA", ...

31.632509

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8,952

4.036805

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0.23453

0.208535

0.196702

0.175752

0

0.019531

0.262176

8,952

282

107

31.744681

0.760939

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0.164179

0

0.107296

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0

1

0.044776

false

0

0.044776

0

0.119403

0.054726

0

null

0

null

0

1

0

580c8290606fc382a91ddcb30034d1076a50dc58

18,427

py

Python

duqo/optimization/predict.py

canbooo/pyRDO

f7143438aa30cc79587c9f35fc9ff6aa262fc4d3

[ "BSD-3-Clause" ]

11

2021-08-17T05:55:01.000Z

2022-02-03T13:16:42.000Z

duqo/optimization/predict.py

canbooo/pyRDO

f7143438aa30cc79587c9f35fc9ff6aa262fc4d3

[ "BSD-3-Clause" ]

null

duqo/optimization/predict.py

canbooo/pyRDO

f7143438aa30cc79587c9f35fc9ff6aa262fc4d3

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Aug 9 15:33:47 2019 @author: Bogoclu """ import typing import multiprocessing as mp import warnings import numpy as np from scipy import stats from .space import FullSpace from duqo.proba import DS, MC, SUSE, ISPUD, FORM from duqo.doe.lhs import make_doe def _check_obj_w...

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18,427

4.304313

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0.010297

0.239037

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0.115565

0.107291

0.092948

0

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116

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0.17029

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1

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false

0.003623

0.028986

0

0.23913

0.025362

0

null

0

null

0

1

0

580d37ef443f31d16e61142142999c038e7fd18f

5,352

py

Python

mymodule/twitter_json_parsing.py

sobkovych/TwitterFriendsMap

7fb1a844264334fba443feba3830cca2c86b55c9

[ "MIT" ]

null

mymodule/twitter_json_parsing.py

sobkovych/TwitterFriendsMap

7fb1a844264334fba443feba3830cca2c86b55c9

[ "MIT" ]

null

mymodule/twitter_json_parsing.py

sobkovych/TwitterFriendsMap

7fb1a844264334fba443feba3830cca2c86b55c9

[ "MIT" ]

1

2020-02-26T09:20:17.000Z

"""Parse json files.""" import json import re def search_for_key(final_key: str, tree: dict, space: list = []): """Search all data for a key. :param final_key: the key :param tree: the data :param space: found values :return: all found values """ if isinstance(tree, dict) and final_key in...

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0

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0

0.142857

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false

0

0.017857

0

0.133929

0.098214

0

null

0

null

0

1

0

580de9ae168cc442b87908dac6e8235e1d9361f3

284

py

Python

setup.py

jrspruitt/pyfa_gpio

d0f189724b34a2a888dd01b33d237b79ace5becf

[ "MIT" ]

null

setup.py

jrspruitt/pyfa_gpio

d0f189724b34a2a888dd01b33d237b79ace5becf

[ "MIT" ]

null

setup.py

jrspruitt/pyfa_gpio

d0f189724b34a2a888dd01b33d237b79ace5becf

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup,find_packages version = '0.1' setup( name='pyfa_gpio', version=version, description='', author='Jason Pruitt', url='https://github.com/jrspruitt/pyfa_gpio', license='MIT', packages = find_packages(), )

17.75

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0

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0

null

0

null

0

1

0

580ec4cbc90960d845dfc3bbcd5951593510c1c2

4,093

py

Python

dps/env/basic/path_discovery.py

alcinos/dps

5467db1216e9f9089376d2c71f524ced2382e4f6

[ "Apache-2.0" ]

null

dps/env/basic/path_discovery.py

alcinos/dps

5467db1216e9f9089376d2c71f524ced2382e4f6

[ "Apache-2.0" ]

null

dps/env/basic/path_discovery.py

alcinos/dps

5467db1216e9f9089376d2c71f524ced2382e4f6

[ "Apache-2.0" ]

null

import tensorflow as tf import numpy as np from dps.register import RegisterBank from dps.env import TensorFlowEnv from dps.utils import Param, Config def build_env(): return PathDiscovery() config = Config( build_env=build_env, curriculum=[ dict(shape=(2, 2), threshold=6), dict(shape=(...

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null

0

null

0

1

0

5811d6d7e749badbaa3acffda48486b057d48a0e

4,404

py

Python

mortgage/mortgage.py

roelbertens/mortgages

b5fe415024933c772e6c7c57f041bf065ac86176

[ "MIT" ]

1

2019-08-19T07:09:58.000Z

mortgage/mortgage.py

roelbertens/mortgages

b5fe415024933c772e6c7c57f041bf065ac86176

[ "MIT" ]

null

mortgage/mortgage.py

roelbertens/mortgages

b5fe415024933c772e6c7c57f041bf065ac86176

[ "MIT" ]

null

from typing import List import matplotlib.pyplot as plt class Mortgage: """ A mortgage overview of the total burden (incl. interest) and the monthly fees per fixed period """ def __init__(self, mortgage_amount, burden, periods, monthly_fees, name): self.mortgage_amount = int(mortgage_amount)...

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0

null

0

null

0

1

0

58127a028ca7d4bb09bc84dec02f9d31b1e190c3

32,827

py

Python

training/wml_train.py

corvy/MAX-Object-Detector

2a21183e6bb9d0c35bac297ee3cf1fc67f4c048f

[ "Apache-2.0" ]

1

2019-10-25T11:36:46.000Z

training/wml_train.py

karankrish/MAX-Image-Segmenter

2d5d080f4a3d7db1aa4cf320ab35b3e157a6f485

[ "Apache-2.0" ]

1

2019-07-08T17:58:45.000Z

2019-09-05T18:07:45.000Z

training/wml_train.py

karankrish/MAX-Image-Segmenter

2d5d080f4a3d7db1aa4cf320ab35b3e157a6f485

[ "Apache-2.0" ]

1

2019-10-30T20:42:46.000Z

#!/usr/bin/env python # # Copyright 2018-2019 IBM Corp. 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 requ...

41.03375

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0.169966

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0

null

0

null

0

1

0

581495876b03363b5fef74a09d461c434b90c0d7

8,344

py

Python

glog.py

leoll2/python-glog

c809d16352bf061d0ee38e590c6f28d553d740e7

[ "BSD-2-Clause" ]

null

glog.py

leoll2/python-glog

c809d16352bf061d0ee38e590c6f28d553d740e7

[ "BSD-2-Clause" ]

null

glog.py

leoll2/python-glog

c809d16352bf061d0ee38e590c6f28d553d740e7

[ "BSD-2-Clause" ]

null

"""A simple Google-style logging wrapper.""" import logging import time import traceback import os import sys import gflags as flags FLAGS = flags.FLAGS def format_message(record): try: record_message = "%s" % (record.msg % record.args) except TypeError: record_message = record.msg retu...

27.447368

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0.023862

0.039769

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8,344

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0

null

0

null

0

1

0

581517f5427032699dff194265e55b485b52ab39

2,994

py

Python

tests/coretests.py

thomasms/coiny

1f51eac2542e46b03abd9f66fd3b58fbd80cb177

[ "MIT" ]

null

tests/coretests.py

thomasms/coiny

1f51eac2542e46b03abd9f66fd3b58fbd80cb177

[ "MIT" ]

null

tests/coretests.py

thomasms/coiny

1f51eac2542e46b03abd9f66fd3b58fbd80cb177

[ "MIT" ]

null

import unittest from typing import Any from coiny.core import CoinPrice, CoinyQueue, CoinySession, price_now_url, price_task from coiny.utils import NullCoinPrice class HasJson: def __init__(self, data) -> None: self.data = data async def __aenter__(self): return self async def __aexit_...

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0.304129

0

0.030811

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2,994

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86

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0

0.216667

0

null

0

null

0

1

0

5816e949ba4a9d3600362e45768d66548fbd4d4b

969

py

Python

legacy/dx/simulator/simulator_diagnoser/test/graph/traversal/forward_test.py

GaloisInc/adapt

2ccff778d3e77505899266572f8f7caacb5b630f

[ "BSD-3-Clause" ]

2

2020-04-09T13:04:25.000Z

2021-09-24T14:17:26.000Z

legacy/dx/simulator/simulator_diagnoser/test/graph/traversal/forward_test.py

GaloisInc/adapt

2ccff778d3e77505899266572f8f7caacb5b630f

[ "BSD-3-Clause" ]

null

legacy/dx/simulator/simulator_diagnoser/test/graph/traversal/forward_test.py

GaloisInc/adapt

2ccff778d3e77505899266572f8f7caacb5b630f

[ "BSD-3-Clause" ]

3

2019-09-20T20:49:54.000Z

2021-09-02T17:33:47.000Z

import unittest from simulator_diagnoser.graph import InmemoryGraph from simulator_diagnoser.graph.traversal import ForwardAnalysis class ForwardAnalysisTest(unittest.TestCase): def setUp(self): # Graph = # 9 # / | \ # 6 7 8 # \ / \ / # 4 5 #...

24.846154

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0

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0

0.136364

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0.318182

0

null

0

null

0

1

0

58183b1abecb86537c0a52b35966e7d8ef3e9a5f

5,775

py

Python

Agent5_a_0_5_knots_512_d_0_02/step_node_Agent6_rewards.py

schigeru/Bachelorarbeit_Code

261b2552221f768e7022abc60a4e5a7d2fedbbae

[ "MIT" ]

null

Agent5_a_0_5_knots_512_d_0_02/step_node_Agent6_rewards.py

schigeru/Bachelorarbeit_Code

261b2552221f768e7022abc60a4e5a7d2fedbbae

[ "MIT" ]

null

Agent5_a_0_5_knots_512_d_0_02/step_node_Agent6_rewards.py

schigeru/Bachelorarbeit_Code

261b2552221f768e7022abc60a4e5a7d2fedbbae

[ "MIT" ]

null

#!/usr/bin/env python import math import os import numpy as np import time import sys import copy import rospy import moveit_msgs.msg import geometry_msgs.msg import random import csv from sensor_msgs.msg import JointState from gazebo_msgs.msg import LinkStates from gazebo_msgs.msg import LinkState from std_msgs.msg i...

35.429448

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null

0

null

0

1

0

5818909f1789bffb946f4dcc647ac54b08e00f22

10,043

py

Python

pwnlib/elf/corefile.py

jdsecurity/binjitsu

999ad632004bfc3e623eead20eb11de98fc1f4dd

[ "MIT" ]

5

2018-05-15T13:00:56.000Z

2020-02-09T14:29:00.000Z

pwnlib/elf/corefile.py

FDlucifer/binjitsu

999ad632004bfc3e623eead20eb11de98fc1f4dd

[ "MIT" ]

null

pwnlib/elf/corefile.py

FDlucifer/binjitsu

999ad632004bfc3e623eead20eb11de98fc1f4dd

[ "MIT" ]

6

2017-09-07T02:31:11.000Z

2021-07-05T16:59:18.000Z

import collections import ctypes import elftools from elftools.common.utils import roundup, struct_parse from elftools.common.py3compat import bytes2str from elftools.construct import CString from ..context import context from ..log import getLogger from .datatypes import * from .elf import ELF from ..tubes.tube impo...

34.631034

103

0.54416

1,216

10,043

4.373355

0.274671

0.015043

0.006769

0.007522

0.106243

0.084618

0.047386

0.025574

0.010906

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0.360052

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0

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0.001439

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false

0.005464

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0.016393

0.20765

0

null

0

null

0

1

0

5819716bac9c4b729336569c993ab6648380ee01

2,875

py

Python

kNN.py

skywind3000/ml

d3ac3d6070b66d84e25537915ee634723ddb8c51

[ "MIT" ]

9

2019-03-25T02:14:23.000Z

2020-05-19T20:46:10.000Z

kNN.py

skywind3000/ml

d3ac3d6070b66d84e25537915ee634723ddb8c51

[ "MIT" ]

null

kNN.py

skywind3000/ml

d3ac3d6070b66d84e25537915ee634723ddb8c51

[ "MIT" ]

2

2020-07-06T04:44:02.000Z

2022-02-17T01:27:55.000Z

from __future__ import print_function import numpy as np import operator import os import sys if sys.version_info[0] >= 3: xrange = range def createDataSet(): group = np.array([[1.0,1.1], [1.0,1.0], [0,0], [0,0.1]]) labels = ['A', 'A', 'B', 'B'] return group, labels # kNN classifier de...

33.823529

85

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325

2,875

5.427692

0.390769

0.00907

0.013605

0.018707

0.058957

0

0.034467

0.253217

2,875

84

86

34.22619

0.787145

0.037565

0

0.085714

0

0.099439

0.04972

0

1

0.1

false

0

0.071429

0

0.242857

0.085714

0

null

0

null

0

1

0

5819cc4c01f213155dbdad2c086e2c95b1ccd432

16,094

py

Python

pandaserver/brokerage/PandaSiteIDs.py

rybkine/panda-server

30fdeaa658a38fe2049849446c300c1e1f5b5231

[ "Apache-2.0" ]

1

2019-08-30T13:47:51.000Z

pandaserver/brokerage/PandaSiteIDs.py

mkycanopus/panda-server

0f7c36800c033fada8bbde53dceaab98770b6df2

[ "Apache-2.0" ]

null

pandaserver/brokerage/PandaSiteIDs.py

mkycanopus/panda-server

0f7c36800c033fada8bbde53dceaab98770b6df2

[ "Apache-2.0" ]

null

# !!!!!!! This file is OBSOLETE. Its content has been absorbed into pilotController.py in the autopilot repository. # !!!!!!! Questions to Torre Wenaus. PandaSiteIDs = { 'AGLT2' : {'nickname':'AGLT2-condor','status':'OK'}, 'ALBERTA-LCG2' : {'nickname':'ALBERTA-LCG2-lcgce01-atlas-lcgpb...

80.874372

115

0.541258

1,727

16,094

4.911986

0.171395

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0.094188

0.073913

0.426382

0.345515

0.255216

0.20877

0.078156

0

0.024658

0.228905

16,094

198

116

81.282828

0.658904

0.015223

0

0.572078

0.192691

0

1

0

false

0

null

0

null

0

1

0

581e242497be1d7d21237861371ea688ae66e1e5

3,862

py

Python

qiskit/pulse/commands/command.py

EnriqueL8/qiskit-terra

08b801f1f8598c4e44680b4a75c232ed92db0262

[ "Apache-2.0" ]

2

2019-06-28T19:58:42.000Z

2019-07-26T05:04:02.000Z

qiskit/pulse/commands/command.py

EnriqueL8/qiskit-terra

08b801f1f8598c4e44680b4a75c232ed92db0262

[ "Apache-2.0" ]

3

2018-11-13T17:33:37.000Z

2018-12-03T09:35:00.000Z

qiskit/pulse/commands/command.py

EnriqueL8/qiskit-terra

08b801f1f8598c4e44680b4a75c232ed92db0262

[ "Apache-2.0" ]

2

2017-12-03T15:48:14.000Z

2018-03-11T13:08:03.000Z

# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2017, 2019. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any...

31.398374

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3,862

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0.356077

0.015922

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0.013268

0.046882

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0.009287

0.302952

3,862

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0.017241

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0.465517

0

null

0

null

0

1

0

581f418d3f23d0acfebe881f3102cd64dfbdffef

6,654

py

Python

data_loader/data_loaders.py

brendanwallison/birds

b70c01b8c953dfa172c65a51f7bdf100e47853d3

[ "MIT" ]

null

data_loader/data_loaders.py

brendanwallison/birds

b70c01b8c953dfa172c65a51f7bdf100e47853d3

[ "MIT" ]

null

data_loader/data_loaders.py

brendanwallison/birds

b70c01b8c953dfa172c65a51f7bdf100e47853d3

[ "MIT" ]

null

from torchvision import datasets, transforms from torchvision.transforms import functional as TF from base import BaseDataLoader from six.moves import urllib from parse_config import ConfigParser # downloads import requests import json from collections import Counter import os import errno import csv import numpy as ...

37.382022

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779

6,654

5.110398

0.260591

0.066817

0.058779

0.024115

0.333585

0.281085

0.228837

0.211253

0.185632

0

0.015823

0.278179

6,654

177

173

37.59322

0.813034

0.161707

0

0.373134

0

0.008308

0

1

0.104478

false

0

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0

0.380597

0

null

0

null

0

1

0

5820628189dcbe4c683064fd6478349ee7f02524

5,855

py

Python

stockscanner/model/portfolio/portfolio.py

adityazagade/StockScanner

4aecf886a8858757e4720b68d0af5ed94f4d371a

[ "Apache-2.0" ]

null

stockscanner/model/portfolio/portfolio.py

adityazagade/StockScanner

4aecf886a8858757e4720b68d0af5ed94f4d371a

[ "Apache-2.0" ]

null

stockscanner/model/portfolio/portfolio.py

adityazagade/StockScanner

4aecf886a8858757e4720b68d0af5ed94f4d371a

[ "Apache-2.0" ]

null

from datetime import date from typing import List from stockscanner.model.asset.asset_type import AssetType from stockscanner.model.exceptions.exceptions import AssetNotFoundException from stockscanner.model.asset.asset import Asset from stockscanner.model.asset.cash import Cash from stockscanner.model.asset.debt impo...

37.056962

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0.640649

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5,855

4.521907

0.110825

0.055856

0.071815

0.0778

0.460245

0.407524

0.329154

0.292391

0.178398

0.162439

0

0.003908

0.257045

5,855

157

114

37.292994

0.802759

0.002733

0

0.181102

0

0.099195

0.046257

0

1

0.165354

false

0.015748

0.070866

0.023622

0.338583

0

null

0

null

0

1

0

5823914afc52a344ae37dba70fad832cd069531a

2,397

py

Python

test/test_sl/test_model/test_data.py

jlaumonier/mlsurvey

373598d067c7f0930ba13fe8da9756ce26eecbaf

[ "MIT" ]

null

test/test_sl/test_model/test_data.py

jlaumonier/mlsurvey

373598d067c7f0930ba13fe8da9756ce26eecbaf

[ "MIT" ]

null

test/test_sl/test_model/test_data.py

jlaumonier/mlsurvey

373598d067c7f0930ba13fe8da9756ce26eecbaf

[ "MIT" ]

null

import unittest import numpy as np import pandas as pd import mlsurvey as mls class TestData(unittest.TestCase): def test_to_dict_dict_should_be_set(self): """ :test : mlsurvey.model.Data.to_dict() :condition : x,y, y_pred data are filled. :main_result : the dictionary generated...

35.776119

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4.215434

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0.04958

0.048055

0.661327

0.580473

0.536232

0.463768

0.398169

0

0.011969

0.302879

2,397

66

94

36.318182

0.772591

0.188986

0

0.522727

0

0.093647

0

0.159091

1

0.068182

false

0

0.090909

0

0.181818

0

null

0

null

0

1

0

582469a40acf21b2f0921b0060688c700c098a03

1,126

py

Python

baidu_verify_response.py

CodingDogzxg/Verifycode_ocr

6f1bdac2137993695cb4591afd1b47931680b204

[ "MIT" ]

null

baidu_verify_response.py

CodingDogzxg/Verifycode_ocr

6f1bdac2137993695cb4591afd1b47931680b204

[ "MIT" ]

null

baidu_verify_response.py

CodingDogzxg/Verifycode_ocr

6f1bdac2137993695cb4591afd1b47931680b204

[ "MIT" ]

null

# encoding:utf-8 import requests import base64 import time ''' 通用文字识别 ''' request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic" access_token = '' # 百度AI的token access 详情请去看文档 request_url = request_url + "?access_token=" + access_token headers = {'content-type': 'application/x-www-form-urlencoded'} f...

35.1875

98

0.619005

151

1,126

4.450331

0.543046

0.066964

0.053571

0.066964

0.196429

0

0.022099

0.19627

1,126

32

99

35.1875

0.720442

0.035524

0

0.083333

0

0.229907

0.086916

0

1

0

false

0

0.125

0

0.125

0.041667

0

null

0

null

0

1

0

5824ba4bea2f64074dbcd56d9e462c95a3407e0f

11,478

py

Python

nets/efficientdet_training.py

BikesSaver/efficientdet-pytorch

c1e02484733cf2080ecb2ee57c184038a77a09e8

[ "MIT" ]

1

2020-09-17T00:51:38.000Z

nets/efficientdet_training.py

BikesSaver/efficientdet-pytorch

c1e02484733cf2080ecb2ee57c184038a77a09e8

[ "MIT" ]

null

nets/efficientdet_training.py

BikesSaver/efficientdet-pytorch

c1e02484733cf2080ecb2ee57c184038a77a09e8

[ "MIT" ]

null

from random import shuffle import numpy as np import torch import torch.nn as nn import math import torch.nn.functional as F import cv2 from matplotlib.colors import rgb_to_hsv, hsv_to_rgb from PIL import Image from .RepulsionLoss.my_repulsion_loss import repulsion def preprocess_input(image): image /= 255 ...

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0

null

0

null

0

1

0

5825efbd85281c5ef1426be58d4c0871b10dcdf9

3,445

py

Python

tests/test_coco_dataset.py

petersiemen/CVND---Image-Captioning-Project

53d15c5f2b9d5e04b007f4f8b1e4f9dd17425c06

[ "MIT" ]

null

tests/test_coco_dataset.py

petersiemen/CVND---Image-Captioning-Project

53d15c5f2b9d5e04b007f4f8b1e4f9dd17425c06

[ "MIT" ]

null

tests/test_coco_dataset.py

petersiemen/CVND---Image-Captioning-Project

53d15c5f2b9d5e04b007f4f8b1e4f9dd17425c06

[ "MIT" ]

null

from .context import CoCoDataset import os from torchvision import transforms import torch.utils.data as data from src.data_loader import get_loader from context import COCO_SMALL from context import clean_sentence def test_coco_dataset(): transform_train = transforms.Compose([ transforms.Resize(256), # ...

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0

null

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null

0

1

0

5828ffc478a57b5d3a54d1d5409d86dcb72100d1

5,019

py

Python

test/retro-fuse-test.py

jaylogue/retro-fuse

b300865c1aa4c38930adea66de364f182c73b3b5

[ "Apache-2.0" ]

28

2021-02-23T06:00:16.000Z

2022-02-28T13:38:48.000Z

test/retro-fuse-test.py

jaylogue/retro-fuse

b300865c1aa4c38930adea66de364f182c73b3b5

[ "Apache-2.0" ]

3

2021-09-22T12:37:59.000Z

2022-02-01T00:33:25.000Z

test/retro-fuse-test.py

jaylogue/retro-fuse

b300865c1aa4c38930adea66de364f182c73b3b5

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # # Copyright 2021 Jay Logue # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...

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0

null

0

null

0

1

0

582b2e616da4b6c095b0fcc22d4f757b4b8fddc7

4,374

py

Python

creme/cluster/k_means.py

tweakyllama/creme

6bb8e34789947a943e7e6a8a1af1341e4c1de144

[ "BSD-3-Clause" ]

null

creme/cluster/k_means.py

tweakyllama/creme

6bb8e34789947a943e7e6a8a1af1341e4c1de144

[ "BSD-3-Clause" ]

null

creme/cluster/k_means.py

tweakyllama/creme

6bb8e34789947a943e7e6a8a1af1341e4c1de144

[ "BSD-3-Clause" ]

2

2021-06-20T09:29:38.000Z

2021-06-23T07:47:21.000Z

import collections import numpy as np from sklearn import utils from .. import base __all__ = ['KMeans'] def euclidean_distance(a, b): return sum((a.get(k, 0) - b.get(k, 0)) ** 2 for k in set([*a.keys(), *b.keys()])) class KMeans(base.Clusterer): """Incremental k-means. The most common way to imple...

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0.473684

0

null

0

null

0

1

0

582ee3ae3eed760c8ee30d3cb820c5796139122b

42,165

py

Python

fasttrips/TAZ.py

pedrocamargo/fast-trips

a2549936b2707b00d6c21b4e6ae4be8fefd0aa46

[ "Apache-2.0" ]

3

2017-11-03T00:18:23.000Z

2020-11-30T18:54:46.000Z

fasttrips/TAZ.py

pedrocamargo/fast-trips

a2549936b2707b00d6c21b4e6ae4be8fefd0aa46

[ "Apache-2.0" ]

null

fasttrips/TAZ.py

pedrocamargo/fast-trips

a2549936b2707b00d6c21b4e6ae4be8fefd0aa46

[ "Apache-2.0" ]

null

from __future__ import print_function from __future__ import division from builtins import str from builtins import object __copyright__ = "Copyright 2015 Contributing Entities" __license__ = """ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with...

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42,165

4.643462

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0.595989

0.520016

0.442747

0.372609

0.306199

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0.004576

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42,165

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158

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0.004444

0

null

0

null

0

1

0

58309191f39ca5397068401c1360251a2a11c48a

2,686

py

Python

tests/test_stardist2D.py

ianbgroves/stardist

6524c27d01c625dabfd75b1443dd46ccb1cb3dcd

[ "BSD-3-Clause" ]

1

2021-02-05T11:59:39.000Z

tests/test_stardist2D.py

ianbgroves/stardist

6524c27d01c625dabfd75b1443dd46ccb1cb3dcd

[ "BSD-3-Clause" ]

1

2020-06-17T09:06:29.000Z

tests/test_stardist2D.py

ianbgroves/stardist

6524c27d01c625dabfd75b1443dd46ccb1cb3dcd

[ "BSD-3-Clause" ]

null

import numpy as np from stardist import star_dist, relabel_image_stardist import pytest from utils import random_image, real_image2d, check_similar, circle_image @pytest.mark.parametrize('img', (real_image2d()[1], random_image((128, 123)))) @pytest.mark.parametrize('n_rays', (4, 16, 32)) def test_types(img, n_rays): ...

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0

null

0

null

0

1

0

583228f93313973cc02c96e9d032138aeb10b053

26,395

py

Python

all_call/infer_new.py

jbudis/dante

90177c33825d5f9ce3fba5463092fbcf20b72fe2

[ "Apache-2.0" ]

4

2018-09-28T14:50:47.000Z

2021-08-09T12:46:12.000Z

all_call/infer_new.py

jbudis/dante

90177c33825d5f9ce3fba5463092fbcf20b72fe2

[ "Apache-2.0" ]

6

2019-01-02T13:08:31.000Z

2021-03-25T21:45:40.000Z

all_call/infer_new.py

jbudis/dante

90177c33825d5f9ce3fba5463092fbcf20b72fe2

[ "Apache-2.0" ]

1

2017-12-12T10:38:26.000Z

import math import functools from scipy.stats import binom import numpy as np import itertools import sys import matplotlib.pyplot as plt import matplotlib.patheffects as PathEffects from copy import copy def combine_distribs(deletes, inserts): """ Combine insert and delete models/distributions :param de...

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0

null

0

null

0

1

0

583491d9c92a8b53e562e95c5e8cebcf67dc3f00

10,937

py

Python

code/python-neo/neo/core/basesignal.py

qniksefat/macaque_brain_causality_test

24cd5caee3ae79066ca37844cab931d04dcad977

[ "CC-BY-4.0", "BSD-3-Clause" ]

null

code/python-neo/neo/core/basesignal.py

qniksefat/macaque_brain_causality_test

24cd5caee3ae79066ca37844cab931d04dcad977

[ "CC-BY-4.0", "BSD-3-Clause" ]

null

code/python-neo/neo/core/basesignal.py

qniksefat/macaque_brain_causality_test

24cd5caee3ae79066ca37844cab931d04dcad977

[ "CC-BY-4.0", "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- ''' This module implements :class:`BaseSignal`, an array of signals. This is a parent class from which all signal objects inherit: :class:`AnalogSignal` and :class:`IrregularlySampledSignal` :class:`BaseSignal` inherits from :class:`quantities.Quantity`, which inherits from :class:`numpy.ar...

37.713793

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0.106543

0.093637

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10,937

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false

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0.335938

0.007813

0

null

0

null

0

1

0

58394701554d3a507c68ce7bd347905779a7cb27

891

py

Python

dl_data_validation_toolset/framework/report_gen/group.py

kwierman/dl_data_validation_toolset

fb0486abd000ba28c6474f8979762c92fb4ee038

[ "MIT" ]

1

2017-08-24T00:46:47.000Z

dl_data_validation_toolset/framework/report_gen/group.py

kwierman/dl_data_validation_toolset

fb0486abd000ba28c6474f8979762c92fb4ee038

[ "MIT" ]

177

2017-04-10T23:03:27.000Z

2022-03-28T22:07:54.000Z

dl_data_validation_toolset/framework/report_gen/group.py

HEP-DL/dl_data_validation_toolset

fb0486abd000ba28c6474f8979762c92fb4ee038

[ "MIT" ]

null

from .file import FileGenerator from ..report.group import GroupReport import logging import asyncio import os class GroupGenerator(object): logger = logging.getLogger("ddvt.rep_gen.grp") def __init__(self, group): self.meta = group async def generate(self, parent): self.logger.info("Generating Group ...

31.821429

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891

27

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false

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0

0.380952

0

null

0

null

0

1

0

583a2eef001a72cf9b9737ee6ef5ed10dc5f494d

1,458

py

Python

api/scpca_portal/views/filter_options.py

AlexsLemonade/scpca-portal

d60d6db5abe892ed58764128269df936778c6fd7

[ "BSD-3-Clause" ]

null

api/scpca_portal/views/filter_options.py

AlexsLemonade/scpca-portal

d60d6db5abe892ed58764128269df936778c6fd7

[ "BSD-3-Clause" ]

85

2021-07-27T14:33:55.000Z

2022-03-28T20:18:41.000Z

api/scpca_portal/views/filter_options.py

AlexsLemonade/scpca-portal

d60d6db5abe892ed58764128269df936778c6fd7

[ "BSD-3-Clause" ]

null

from django.http import JsonResponse from rest_framework import status, viewsets from scpca_portal.models import Project class FilterOptionsViewSet(viewsets.ViewSet): def list(self, request): dicts = ( Project.objects.order_by() .values("diagnoses", "seq_units", "technologies", "m...

33.136364

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144

1,458

5.625

0.305556

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0.049383

0.074074

0.181481

0.092593

0

0.003006

0.315501

1,458

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0.808617

0

0.115226

0

1

0.029412

false

0

0.088235

0

0.176471

0

null

0

null

0

1

0

583a8bbe4d63a96ce53555ed1fbf8f8d31b49bdb

846

py

Python

all_raspi_code_backup/DriveTesting.py

lord-pradhan/SnowBot

82a0b3439dc203bf27725e293d6e56bcad720c09

[ "MIT" ]

2

2020-05-31T07:37:59.000Z

2021-03-24T13:43:39.000Z

all_raspi_code_backup/DriveTesting.py

lord-pradhan/SnowBot

82a0b3439dc203bf27725e293d6e56bcad720c09

[ "MIT" ]

null

all_raspi_code_backup/DriveTesting.py

lord-pradhan/SnowBot

82a0b3439dc203bf27725e293d6e56bcad720c09

[ "MIT" ]

1

2019-12-13T19:21:12.000Z

""" Program: DriveTesting.py Revised On: 12/01/2019 """ ### Library Imports from DriveArduino import DriveArduino import numpy as np from time import sleep from sys import exit from signal import signal, SIGINT ### ### CTRL + C Signal Handler & Resource Cleanup def signal_handler(sig, frame): """Handler for...

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47

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0

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0

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0.25

0

null

0

null

0

1

0

583d59db015ae71e12d80d6cb5e3e2aba7e8e79c

817

py

Python

setup.py

Ozencb/cli-pto

445e5133340adb25dcf5d14c4203643b7a8741c2

[ "MIT" ]

6

2020-04-30T18:32:38.000Z

2020-07-28T15:37:04.000Z

setup.py

Ozencb/cli-pto

445e5133340adb25dcf5d14c4203643b7a8741c2

[ "MIT" ]

1

2020-04-30T18:34:08.000Z

2020-05-01T10:16:49.000Z

setup.py

Ozencb/cli-pto

445e5133340adb25dcf5d14c4203643b7a8741c2

[ "MIT" ]

null

import os import re from setuptools import find_packages, setup def get_version(package): path = os.path.join(os.path.dirname(__file__), package, "__init__.py") with open(path, "rb") as f: init_py = f.read().decode("utf-8") return re.search("__version__ = ['\"]([^'\"]+)['\"]", init_py).group(1) ...

31.423077

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0.168911

817

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0

0.324357

0

1

0.05

false

0.05

0.15

0

0.25

0

null

0

null

0

1

0

5840120e03a13bb96c98c4c82966a3349be1a938

1,012

py

Python

format_errors.py

drupchen/correct-ewts

0a23db216b2fb78a8c73476ca55cebf23a7d2706

[ "Apache-2.0" ]

null

format_errors.py

drupchen/correct-ewts

0a23db216b2fb78a8c73476ca55cebf23a7d2706

[ "Apache-2.0" ]

null

format_errors.py

drupchen/correct-ewts

0a23db216b2fb78a8c73476ca55cebf23a7d2706

[ "Apache-2.0" ]

null

import re from collections import defaultdict with open('input/errors-ewts.csv') as f: raw = f.read() #raw = raw.replace('`not expected', '` not expected') lines = raw.split('\n') data = [] for line in lines: columns = re.split(r'(?:^"|","|",,"|"$)', line) msgs = [a for a in columns[3].split(',') i...

27.351351

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4.094595

0.418919

0.066007

0.054455

0.046205

0

0.008674

0.202569

1,012

37

61

27.351351

0.742255

0.051383

0

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0

1

0

false

0

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0

0.068966

0.103448

0

null

0

null

0

1

0

5840ef989a734ba50cfa0c0f408fab21378c995e

344

py

Python

exercise-django/user/views.py

theseana/goodfellas

9ad9d9759d193cd64ec71876b1dab155bb9ba2c7

[ "MIT" ]

null

exercise-django/user/views.py

theseana/goodfellas

9ad9d9759d193cd64ec71876b1dab155bb9ba2c7

[ "MIT" ]

null

exercise-django/user/views.py

theseana/goodfellas

9ad9d9759d193cd64ec71876b1dab155bb9ba2c7

[ "MIT" ]

null

from django.shortcuts import render # Create your views here. from user.forms import UserForm def register(request): form = UserForm() if request.method == 'POST': form = UserForm(request.POST) if form.is_valid(): form.save() return render(request, 'user/registeration/register...

24.571429

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42

344

5.380952

0.595238

0.106195

0

0.22093

344

13

79

26.461538

0.843284

0.06686

0

0.125392

0.100313

0

1

0.111111

false

0

0.222222

0

0.444444

0

null

0

null

0

1

0

5841ecc637b36ee324105b2737f2b6315d8d0459

3,609

py

Python

shark/example/env/catch_ball_env.py

7starsea/shark

5030f576da6f5998728d80170480e68a3debfe79

[ "MIT" ]

null

shark/example/env/catch_ball_env.py

7starsea/shark

5030f576da6f5998728d80170480e68a3debfe79

[ "MIT" ]

null

shark/example/env/catch_ball_env.py

7starsea/shark

5030f576da6f5998728d80170480e68a3debfe79

[ "MIT" ]

null

# -*- coding: utf-8 -*- import numpy as np import PIL import torch import torchvision.transforms as TF from types import SimpleNamespace from gym import spaces, Env from .SharkExampleEnv import CatchBallSimulate # internal_screen_h, internal_screen_w = 80, 140 class CatchBallEnvBase(Env): metadata = {'render.m...

31.112069

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3,609

4.437632

0.289641

0.045736

0.023821

0.030014

0.118152

0.083849

0

0.022231

0.277085

3,609

115

108

31.382609

0.782292

0.031865

0

0.144578

0

0.023789

0

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false

0

0.096386

0

0.325301

0

null

0

null

0

1

0

5842cd8ea1a4359a03a5653c005a52f4e2eeeb68

5,123

py

Python

homeroom/wsgi.py

openshift-labs/workshop-homeroom

a0f0c144eef679e35a93201d11973329be9924fb

[ "Apache-2.0" ]

14

2019-09-28T20:42:29.000Z

2021-11-23T13:12:42.000Z

homeroom/wsgi.py

openshift-homeroom/workshop-homeroom

a0f0c144eef679e35a93201d11973329be9924fb

[ "Apache-2.0" ]

1

2019-10-15T02:55:57.000Z

homeroom/wsgi.py

openshift-homeroom/workshop-homeroom

a0f0c144eef679e35a93201d11973329be9924fb

[ "Apache-2.0" ]

3

2020-02-11T16:55:59.000Z

2021-08-13T13:16:27.000Z

import os import json import threading import time import yaml from flask import Flask from flask import render_template from kubernetes.client.rest import ApiException from kubernetes.client.configuration import Configuration from kubernetes.config.incluster_config import load_incluster_config from kubernetes.clien...

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null

0

null

0

1

0

58483a9eb35db037bda84433b79608b84ed9f2c4

1,912

py

Python

hard-gists/5409581/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/5409581/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/5409581/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

''' rename_selected_relation_box.py Written by Alex Forsythe (awforsythe.com) When executed, attempts to locate any selected box within any relation constraint in the scene. If a selected relation box is found, prompts the user to enter a new name for that box. Allows relation boxes to be given more descriptive names....

30.83871

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0.670502

273

1,912

4.564103

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104

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null

0

null

0

1

0

584861b23601a5bd9f5d5e6bce09eb691a44f1c2

4,010

py

Python

osu_scene_switcher.py

FunOrange/osu-scene-switcher

471fc654fe4a222abaf4fbcf062e8302dd52bb18

[ "MIT" ]

4

2021-05-22T20:56:36.000Z

2022-03-02T00:19:45.000Z

osu_scene_switcher.py

FunOrange/obs-osu-noise-suppression-switcher

471fc654fe4a222abaf4fbcf062e8302dd52bb18

[ "MIT" ]

null

osu_scene_switcher.py

FunOrange/obs-osu-noise-suppression-switcher

471fc654fe4a222abaf4fbcf062e8302dd52bb18

[ "MIT" ]

1

2021-01-29T18:28:04.000Z

import os import time import obspython as obs initial_load = False status_file = '' idle_scene = '' playing_scene = '' def undb(db): return pow(10, db/20) def script_description(): return 'Automatically switch scenes upon entering osu! gameplay.\n\n' \ 'See github page for setup instructions.\n\n...

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0.186047

0

null

0

null

0

1

0

5849254d7b154fa7533602568ea01800f7eb9d68

3,386

py

Python

donkey_gym/envs/donkey_env.py

mint26/donkey_gym

4d0302da5818d56f92247b9dbf389994961f487e

[ "MIT" ]

5

2018-11-01T18:48:03.000Z

2021-03-11T14:36:22.000Z

donkey_gym/envs/donkey_env.py

mint26/donkey_gym

4d0302da5818d56f92247b9dbf389994961f487e

[ "MIT" ]

null

donkey_gym/envs/donkey_env.py

mint26/donkey_gym

4d0302da5818d56f92247b9dbf389994961f487e

[ "MIT" ]

7

2018-10-13T19:48:14.000Z

2021-10-31T15:10:52.000Z

''' file: donkey_env.py author: Tawn Kramer date: 2018-08-31 ''' import os from threading import Thread import numpy as np import gym from gym import error, spaces, utils from gym.utils import seeding from donkey_gym.envs.donkey_sim import DonkeyUnitySimContoller from donkey_gym.envs.donkey_proc import Do...

27.528455

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null

0

null

0

1

0

584a11d14b64edf45f4d6711e52adb48c3e934c3

3,966

py

Python

main.py

parzibyte/login-flask

165e10980f6a34c7587a53578ed361506eb37475

[ "MIT" ]

2

2021-09-21T16:37:41.000Z

2021-12-09T17:38:18.000Z

main.py

parzibyte/login-flask

165e10980f6a34c7587a53578ed361506eb37475

[ "MIT" ]

null

main.py

parzibyte/login-flask

165e10980f6a34c7587a53578ed361506eb37475

[ "MIT" ]

1

2021-08-16T01:36:58.000Z

""" ____ _____ _ _ _ | _ \ | __ \ (_) | | | | |_) |_ _ | |__) |_ _ _ __ _____| |__ _ _| |_ ___ | _ <| | | | | ___/ _` | '__|_ / | '_ \| | | | __/ _ \ | |_) | |_| | | | | (_| | | / /| | |_) | |_| | || __/ |____/ \__, | |_| ...

36.054545

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0.594049

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0.029237

0.018273

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3,966

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0.387097

0

null

0

null

0

1

0

584b6938b21baa80544be5899accf3e8f5524589

218

py

Python

Modulo 3/HelloWorld.py

antonio343/clase

fda04a606246695aa5d93c8b2b5e2890a16d5973

[ "MIT" ]

null

Modulo 3/HelloWorld.py

antonio343/clase

fda04a606246695aa5d93c8b2b5e2890a16d5973

[ "MIT" ]

null

Modulo 3/HelloWorld.py

antonio343/clase

fda04a606246695aa5d93c8b2b5e2890a16d5973

[ "MIT" ]

null

import sys print("Hello world, I am",sys.executable, sys.version) x=input("Dame un numero mayor que cero: ") x = int(x) if x < 0: print('Negative changed to zero') x = 0 print(f"El valor final de x es: {x}")

19.818182

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0.646789

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218

3.439024

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0.011561

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11

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0.125

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0

null

0

null

0

1

0

584b955b3560453b5439bd686f05b35e554caf34

436

py

Python

rasiberryPiGPIOBaseController/driver/test.py

onwebbe/rasiberryPiBaseController

bdb81cb5a0e62414fa091635a83db799017249e7

[ "MIT" ]

null

rasiberryPiGPIOBaseController/driver/test.py

onwebbe/rasiberryPiBaseController

bdb81cb5a0e62414fa091635a83db799017249e7

[ "MIT" ]

null

rasiberryPiGPIOBaseController/driver/test.py

onwebbe/rasiberryPiBaseController

bdb81cb5a0e62414fa091635a83db799017249e7

[ "MIT" ]

null

def convertToHEXForChar(charList): convertedCharList = [] for message in charList: convertedCharList.append(ord(message)) return convertedCharList def displayChar(line, *args): concatedList = [] for argItem in args: concatedList.extend(argItem) print(len(concatedList)) for message in c...

22.947368

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0.713303

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436

7.068182

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0.07717

0

0.011173

0.178899

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19

64

22.947368

0.857542

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0.032037

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0.009153

0

1

0.2

false

0

0.266667

0.133333

0

null

0

null

0

1

0

584bc0b37c22b1a874521a0f4acbe34fb62b2cde

17,670

py

Python

Acquire/Client/_user.py

michellab/BioSimSpaceCloud

456b146a2131565e354352872d3e75a08c3652d1

[ "Apache-2.0" ]

2

2019-02-15T16:04:19.000Z

2019-02-19T15:42:27.000Z

Acquire/Client/_user.py

michellab/BioSimSpaceCloud

456b146a2131565e354352872d3e75a08c3652d1

[ "Apache-2.0" ]

null

Acquire/Client/_user.py

michellab/BioSimSpaceCloud

456b146a2131565e354352872d3e75a08c3652d1

[ "Apache-2.0" ]

null

import os as _os from enum import Enum as _Enum from datetime import datetime as _datetime import time as _time from Acquire.Service import call_function as _call_function from Acquire.Service import Service as _Service from Acquire.ObjectStore import bytes_to_string as _bytes_to_string from Acquire.ObjectStore im...

32.244526

79

0.590323

2,081

17,670

4.775108

0.136953

0.049814

0.028681

0.013686

0.333199

0.268089

0.251484

0.231257

0.203079

0.192613

0

0.002804

0.334012

17,670

547

80

32.303473

0.841604

0.197793

0

0.385757

0

0.092108

0

1

0.091988

false

0.020772

0.041543

0.002967

0.267062

0.008902

0

null

0

null

0

1

0

584ff888d14bb4a1085d283e99cd26c1976fee31

739

py

Python

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

MiddelkoopT/spack

4d94c4c4600f42a7a3bb3d06ec879140bc259304

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

null

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

MiddelkoopT/spack

4d94c4c4600f42a7a3bb3d06ec879140bc259304

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

null

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

MiddelkoopT/spack

4d94c4c4600f42a7a3bb3d06ec879140bc259304

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

null

# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class Netdata(AutotoolsPackage): """Real-time performance monitoring, done right!""" homepa...

32.130435

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739

5.733333

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0.124031

0.139535

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0.104

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739

22

97

33.590909

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0

1

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false

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0.363636

0

null

0

null

0

1

0

5850feed17b8dae7b2795290112a605c61fbeef1

1,727

py

Python

examples/my_quickstart.py

87boy/sisu

823d12c9a8126ab41bb14b6d91cad9acbb95bc47

[ "Apache-2.0" ]

null

examples/my_quickstart.py

87boy/sisu

823d12c9a8126ab41bb14b6d91cad9acbb95bc47

[ "Apache-2.0" ]

null

examples/my_quickstart.py

87boy/sisu

823d12c9a8126ab41bb14b6d91cad9acbb95bc47

[ "Apache-2.0" ]

null

import flask import flask.ext.sqlalchemy import flask.ext.restless # Create the Flask application and the Flask-SQLAlchemy object. app = flask.Flask(__name__) app.config['DEBUG'] = True app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db' db = flask.ext.sqlalchemy.SQLAlchemy(app) # Create your Flask-SQLAL...

35.244898

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4.914634

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0.052936

0.06617

0.029777

0.133168

0.117452

0

0.001404

0.17487

1,727

48

77

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0.401853

0

0.166667

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1

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false

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0

0.583333

0

null

0

null

0

1

0

5853ac3ad2b07e0bcfbda162b15356c29c25cefe

4,687

py

Python

src/crypto_wallet/crypto_wallet.py

Sedosa/Blockchain-Analytics

a09de9cfd308c70e38a05d4127fb372af5b919b7

[ "MIT" ]

null

src/crypto_wallet/crypto_wallet.py

Sedosa/Blockchain-Analytics

a09de9cfd308c70e38a05d4127fb372af5b919b7

[ "MIT" ]

null

src/crypto_wallet/crypto_wallet.py

Sedosa/Blockchain-Analytics

a09de9cfd308c70e38a05d4127fb372af5b919b7

[ "MIT" ]

null

""" This is a script that takes a calculates the value of a cryptocurrency portfolio It uses JSON in the with quantities of different cryptocurrencies in the form { "ticker" : volume, "ticker" : volume } gets the live price from an API endpoint and returns the price of each item in the portfolio and the total...

26.480226

123

0.631961

587

4,687

4.925043

0.30494

0.031131

0.017641

0.022829

0.172951

0.135593

0.113456

0.081633

0

0.003127

0.249413

4,687

176

124

26.630682

0.818078

0.354384

0

0.074627

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0

0.005682

0

1

0.089552

false

0

0.074627

0.014925

0.238806

0.029851

0

null

0

null

0

1

0

5853d100285433e6202ec4adff867b94b7270769

1,685

py

Python

np43s.py

Muraru-taketa/100_knocks

d34c0157d15a0fda45ac60e41e93bd6b73cebb58

[ "MIT" ]

null

np43s.py

Muraru-taketa/100_knocks

d34c0157d15a0fda45ac60e41e93bd6b73cebb58

[ "MIT" ]

null

np43s.py

Muraru-taketa/100_knocks

d34c0157d15a0fda45ac60e41e93bd6b73cebb58

[ "MIT" ]

null

#np43.py #43. 名詞を含む文節が動詞を含む文節に係るものを抽出 """名詞を含む文節が，動詞を含む文節に係るとき，これらをタブ区切り形式で抽出せよ．ただし，句読点などの記号は出力しないようにせよ． """ import re # 区切り文字 separator = re.compile('\t|,') # かかりうけ kakari = re.compile(r'''(?:\*\s\d+\s) # キャプチャ対象外 (-?\d+) # 数字(係り先) ''', re.VERBOSE) class M...

30.636364

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0.619585

213

1,685

4.835681

0.375587

0.038835

0.048544

0.034951

0.192233

0.170874

0.139806

0.081553

0

0.01403

0.238576

1,685

55

114

30.636364

0.788776

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0

0.083811

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false

0

0.057143

0

0.228571

0.028571

0

null

0

null

0

1

0

585453c1a7dceaddf108fc0199e9890c1f5860d6

4,026

py

Python

backend/presentation/Viewsets/comment_view.py

Weida-W/CMPUT404-project-socialdistribution

41d8a7f7f013723d2a3878156953fbc11c2e6156

[ "W3C-20150513" ]

null

backend/presentation/Viewsets/comment_view.py

Weida-W/CMPUT404-project-socialdistribution

41d8a7f7f013723d2a3878156953fbc11c2e6156

[ "W3C-20150513" ]

75

2021-01-13T23:48:48.000Z

2021-04-16T19:39:38.000Z

backend/presentation/Viewsets/comment_view.py

Weida-W/CMPUT404-project-socialdistribution

41d8a7f7f013723d2a3878156953fbc11c2e6156

[ "W3C-20150513" ]

12

2021-01-13T23:22:35.000Z

2021-04-28T08:13:38.000Z

from presentation.models import Author, Follower, Post, Comment from django.shortcuts import get_object_or_404 from presentation.Serializers.comment_serializer import CommentSerializer from rest_framework import viewsets, status from django.http import JsonResponse from rest_framework.response import Response import uu...

37.981132

115

0.655986

469

4,026

5.47548

0.270789

0.046729

0.034268

0.03271

0.222741

0.206386

0.168224

0

0.008581

0.247392

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105

116

38.342857

0.838944

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0

0.278481

0

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false

0

0.113924

0

0.379747

0

null

0

null

0

1

0

5854bedf049dafa402041ca2798dee49d6f30c6d

11,520

py

Python

bundle/vim-pandoc-master/python3/vim_pandoc/command.py

ian-mitchell-001/my-vim-configs

198747234df311179185ce9fb8424bb1c1c64771

[ "Unlicense" ]

null

bundle/vim-pandoc-master/python3/vim_pandoc/command.py

ian-mitchell-001/my-vim-configs

198747234df311179185ce9fb8424bb1c1c64771

[ "Unlicense" ]

null

bundle/vim-pandoc-master/python3/vim_pandoc/command.py

ian-mitchell-001/my-vim-configs

198747234df311179185ce9fb8424bb1c1c64771

[ "Unlicense" ]

null

# encoding=utf-8 import vim import re import sys import os.path import argparse import shlex from subprocess import Popen, PIPE from itertools import chain from vim_pandoc.utils import plugin_enabled_modules, ensure_string from vim_pandoc.bib.vim_completer import find_bibfiles from vim_pandoc.helpparser import PandocI...

44.307692

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11,520

4.536413

0.233359

0.046608

0.041429

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0.091317

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0.04937

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0

0.092683

0

null

0

null

0

1

0

585b50403351ad785a902fa91bf54e0474f5e68a

4,019

py

Python

third_party/gsutil/oauth2_plugin/oauth2_helper.py

bdero/depot_tools

685577439cbf9cb8c660e3da39bdcbb64c197c95

[ "BSD-3-Clause" ]

20

2015-12-07T06:08:27.000Z

2021-11-08T11:06:18.000Z

third_party/gsutil/oauth2_plugin/oauth2_helper.py

bdero/depot_tools

685577439cbf9cb8c660e3da39bdcbb64c197c95

[ "BSD-3-Clause" ]

1

2019-01-14T00:36:35.000Z

third_party/gsutil/oauth2_plugin/oauth2_helper.py

bdero/depot_tools

685577439cbf9cb8c660e3da39bdcbb64c197c95

[ "BSD-3-Clause" ]

23

2015-05-05T08:22:59.000Z

2021-11-10T06:24:46.000Z

# Copyright 2011 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...

38.644231

91

0.736502

538

4,019

5.288104

0.366171

0.049209

0.036907

0.031634

0.220738

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0.041476

0.018981

0

0.017948

0.168201

4,019

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0

0.088235

0

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0

0.117647

0

null

0

null

0

1

0

58610c3f91576fd189f2c5eb7bc06289b39922a3

50,976

py

Python

spinta/manifests/tabular/helpers.py

atviriduomenys/spinta

77a10e201f8cdc63143fce7996fd0898acb1ff58

[ "MIT" ]

2

2019-03-14T06:41:14.000Z

2019-03-26T11:48:14.000Z

spinta/manifests/tabular/helpers.py

sirex/spinta

77a10e201f8cdc63143fce7996fd0898acb1ff58

[ "MIT" ]

44

2019-04-05T15:52:45.000Z

2022-03-30T07:41:33.000Z

spinta/manifests/tabular/helpers.py

sirex/spinta

77a10e201f8cdc63143fce7996fd0898acb1ff58

[ "MIT" ]

1

2019-04-01T09:54:27.000Z

from __future__ import annotations import csv import pathlib import textwrap from operator import itemgetter from typing import Any from typing import Callable from typing import Dict from typing import IO from typing import Iterable from typing import Iterator from typing import List from typing import NamedTuple fro...

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0

null

0

null

0

1

0

58641c0b89af2618e34db3686e77a3a4237fbad3

651

py

Python

setup.py

wontonst/orvibo

72722b16caa929ae3f07b0a6789a0f18cd3ebad3

[ "MIT" ]

null

setup.py

wontonst/orvibo

72722b16caa929ae3f07b0a6789a0f18cd3ebad3

[ "MIT" ]

null

setup.py

wontonst/orvibo

72722b16caa929ae3f07b0a6789a0f18cd3ebad3

[ "MIT" ]

null

from setuptools import setup, find_packages from os import path from io import open here = path.abspath(path.dirname(__file__)) # Get the long description from the README file with open(path.join(here, 'README.md'), encoding='utf-8') as f: long_description = f.read() setup( name='orvibo', version='1.5.0...

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0

null

0

1

0

58652e385a1acfda94718bdec15c5a91dde6b8c7

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py

Python

autograder-master/autograder/test_runner.py

Diana1320622/AILabs

315a6f4b8f8dd60e4f53d348e06e23b4d827d179

[ "MIT" ]

null

autograder-master/autograder/test_runner.py

Diana1320622/AILabs

315a6f4b8f8dd60e4f53d348e06e23b4d827d179

[ "MIT" ]

null

autograder-master/autograder/test_runner.py

Diana1320622/AILabs

315a6f4b8f8dd60e4f53d348e06e23b4d827d179

[ "MIT" ]

null

import glob, os import subprocess from difflib import context_diff class TestRunner(object): def __init__(self, context): self.context = context self.error_count = 0 self.test_count = 0 self.success_count = 0 def run(self): os.getcwd() os.chdir(self.context.repo...

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null

0

null

0

1

0

5868165c78c75470f0c193bcf63d0eb76394d605

5,059

py

Python

NER-BiLSTM-CRF-PyTorch-main/src/eval.py

OscarChang46/de-identify-sensitive-data-for-cybersecurity-use-cases-e.g.-PII-and-PHI-data-in-unstructured-text-an

e77ca0d5c19206a349ecc94fc71febdc10824482

[ "MIT" ]

22

2021-04-28T04:19:04.000Z

2022-03-20T17:17:57.000Z

NER-BiLSTM-CRF-PyTorch-main/src/eval.py

OscarChang46/de-identify-sensitive-data-for-cybersecurity-use-cases-e.g.-PII-and-PHI-data-in-unstructured-text-an

e77ca0d5c19206a349ecc94fc71febdc10824482

[ "MIT" ]

3

2021-09-03T12:14:36.000Z

2022-03-07T10:43:51.000Z

NER-BiLSTM-CRF-PyTorch-main/src/eval.py

OscarChang46/de-identify-sensitive-data-for-cybersecurity-use-cases-e.g.-PII-and-PHI-data-in-unstructured-text-an

e77ca0d5c19206a349ecc94fc71febdc10824482

[ "MIT" ]

9

2021-03-25T13:44:51.000Z

2022-02-19T03:56:38.000Z

# coding=utf-8 import optparse import torch import time import pickle from torch.autograd import Variable from loader import * from utils import * # python -m visdom.server optparser = optparse.OptionParser() optparser.add_option( "-t", "--test", default="data/eng.testb", help="Test set location" ) optparse...

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586a480b0504292a0e113f2a2851c35d28765f0b

377

py

Python

rename_files.py

ssinhaleite/util

b65a6e0d7ff270cc2bbdbc09b7894ffc77edaf8d

[ "MIT" ]

1

2018-10-10T11:37:45.000Z

rename_files.py

ssinhaleite/util

b65a6e0d7ff270cc2bbdbc09b7894ffc77edaf8d

[ "MIT" ]

null

rename_files.py

ssinhaleite/util

b65a6e0d7ff270cc2bbdbc09b7894ffc77edaf8d

[ "MIT" ]

null

import mahotas as mh import glob import os # rename files from 0 to number of files. files = glob.glob("/path/*") files.sort() if not os.path.isdir("/path/renamed/"): os.mkdir("/path/renamed/") for i in range(len(files)): print("Processing " + files[i]) renamedFile = mh.imread(files[i]) mh.imsave("...

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0

null

0

null

0

1

0

586b210947d0b950e98da84e776f0d34d976b0d2

1,749

py

Python

scripts/download_lookml.py

orf/lkml

2175a22e0fe8a894ef9312c73c6a062df2447795

[ "MIT" ]

110

2019-06-25T14:26:41.000Z

2022-02-01T13:27:19.000Z

scripts/download_lookml.py

orf/lkml

2175a22e0fe8a894ef9312c73c6a062df2447795

[ "MIT" ]

56

2019-06-26T22:11:43.000Z

2022-03-15T20:37:30.000Z

scripts/download_lookml.py

orf/lkml

2175a22e0fe8a894ef9312c73c6a062df2447795

[ "MIT" ]

28

2019-07-08T17:34:49.000Z

2022-03-25T14:36:00.000Z

import os import re from base64 import b64decode from pathlib import Path import requests username = os.environ["GITHUB_USERNAME"] password = os.environ["GITHUB_PERSONAL_ACCESS_TOKEN"] auth = requests.auth.HTTPBasicAuth(username, password) directory = Path(__file__).resolve().parent.parent / "github" directory.mkdir...

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0

0.098039

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0

null

0

null

0

1

0

586cd0144d170eb0711f6999768b768351ab3215

579

py

Python

docs/conf.py

RTBHOUSE/carreralib

1daa959ef411b29601c92f86c0f6876fe8367837

[ "MIT" ]

null

docs/conf.py

RTBHOUSE/carreralib

1daa959ef411b29601c92f86c0f6876fe8367837

[ "MIT" ]

null

docs/conf.py

RTBHOUSE/carreralib

1daa959ef411b29601c92f86c0f6876fe8367837

[ "MIT" ]

1

2020-02-25T20:40:50.000Z

import os import sys sys.path.insert(0, os.path.abspath('..')) def get_version(filename): from re import findall with open(filename) as f: metadata = dict(findall(r"__([a-z]+)__ = '([^']+)'", f.read())) return metadata['version'] project = 'carreralib' copyright = '2015-2017 Thomas Kemmer' vers...

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0.238095

0

null

0

null

0

1

0

586fa3eca62dcbd41023f2732e592c80e6a5d80c

3,077

py

Python

projects/InterpretationReID/train_net.py

SheldongChen/AMD.github.io

5f3018f239127949b2d3995162ffe033dcf8051a

[ "Apache-2.0" ]

17

2021-11-01T01:14:06.000Z

2022-03-02T14:59:39.000Z

projects/InterpretationReID/train_net.py

SheldongChen/AMD.github.io

5f3018f239127949b2d3995162ffe033dcf8051a

[ "Apache-2.0" ]

2

2021-12-22T07:56:13.000Z

2022-03-18T10:26:21.000Z

projects/InterpretationReID/train_net.py

SheldongChen/AMD.github.io

5f3018f239127949b2d3995162ffe033dcf8051a

[ "Apache-2.0" ]

2

2022-02-18T07:42:38.000Z

2022-02-18T10:16:26.000Z

#!/usr/bin/env python # encoding: utf-8 """ @author: sherlock @contact: sherlockliao01@gmail.com """ import logging import os import sys sys.path.append('.') from fastreid.config import get_cfg from projects.InterpretationReID.interpretationreid.engine import DefaultTrainer, default_argument_parser, default_setup, ...

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0.017544

0

null

0

null

0

1

0

586fc6bf6803a3f84dbc2e58fa7867211fee503b

826

py

Python

asynciomeasures/collectors.py

Poogles/aiomeasures

d62482e8de56a00bce310e7c422d1a1e7a114ef7

[ "MIT" ]

2

2018-12-27T22:01:41.000Z

2019-04-29T11:51:15.000Z

asynciomeasures/collectors.py

Poogles/aiomeasures

d62482e8de56a00bce310e7c422d1a1e7a114ef7

[ "MIT" ]

null

asynciomeasures/collectors.py

Poogles/aiomeasures

d62482e8de56a00bce310e7c422d1a1e7a114ef7

[ "MIT" ]

null

from collections import deque from asynciomeasures.events import Event class Collector(deque): """Caped list of metrics """ def flush(self, rate=None, formatter=None): while True: try: metric = self.popleft() if isinstance(metric, Event): ...

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0

null

0

null

0

1

0

5870b28965fe63f49e7e9e53bb51b1566ea6452e

1,463

py

Python

python/primsAlgo.py

Ayushd70/RetartedCodes

301ced178a0ec352b2d127e19028845de950551d

[ "MIT" ]

null

python/primsAlgo.py

Ayushd70/RetartedCodes

301ced178a0ec352b2d127e19028845de950551d

[ "MIT" ]

null

python/primsAlgo.py

Ayushd70/RetartedCodes

301ced178a0ec352b2d127e19028845de950551d

[ "MIT" ]

null

# Prim's Algorithm in Python INF = 9999999 # number of vertices in graph V = 5 # create a 2d array of size 5x5 # for adjacency matrix to represent graph G = [ [0, 9, 75, 0, 0], [9, 0, 95, 19, 42], [75, 95, 0, 51, 66], [0, 19, 51, 0, 31], [0, 42, 66, 31, 0], ] # create a array to track...

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0

0.071429

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null

0

null

0

1

0

5870fd20f646ac17e765716a8a7674f3e6c452db

13,449

py

Python

tests/test_likelihood.py

sa2c/care-home-fit

58a2639c74b53e24f062d0dfc3e21df6d53b3077

[ "MIT" ]

null

tests/test_likelihood.py

sa2c/care-home-fit

58a2639c74b53e24f062d0dfc3e21df6d53b3077

[ "MIT" ]

null

tests/test_likelihood.py

sa2c/care-home-fit

58a2639c74b53e24f062d0dfc3e21df6d53b3077

[ "MIT" ]

null

#!/usr/bin/env python '''Tests for the likelihood.py module''' from time import perf_counter_ns import pytest import numpy as np from numpy.testing import assert_array_equal, assert_almost_equal from scipy.stats import gamma import likelihood SMALL_FIT_PARAMS = { 'baseline_intensities': np.asarray([1, 2, np.na...

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0

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0

null

0

null

0

1

0

587220b8fa00eda9456728bff03e4461bf290254

2,411

py

Python

data-structure/queue.py

66chenbiao/sleepace_verification_tool

6271312d9d78ee50703e27a75787510cab4c7f4d

[ "Apache-2.0" ]

null

data-structure/queue.py

66chenbiao/sleepace_verification_tool

6271312d9d78ee50703e27a75787510cab4c7f4d

[ "Apache-2.0" ]

null

data-structure/queue.py

66chenbiao/sleepace_verification_tool

6271312d9d78ee50703e27a75787510cab4c7f4d

[ "Apache-2.0" ]

null

import unittest class Queue: """Simple Queue implementation - First in First Out""" def __init__(self): self.__data = [] def enqueue(self, text): """Add new element to queue Arguments: text {string} -- An element which needs to be added to an end of a queue "...

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0

null

0

null

0

1

0

58747a38ec4c868ae85caa7d4f7a021b2a655030

7,973

py

Python

facebook_messenger_conversation.py

davidkrantz/FacebookChatStatistics

01fc2a022d45ed695fa7f4ad53d6532a160379db

[ "MIT" ]

35

2018-02-22T09:04:21.000Z

2022-03-21T18:28:21.000Z

facebook_messenger_conversation.py

davidkrantz/FacebookChatStatistics

01fc2a022d45ed695fa7f4ad53d6532a160379db

[ "MIT" ]

5

2018-05-03T17:56:35.000Z

2022-02-24T08:19:58.000Z

facebook_messenger_conversation.py

davidkrantz/FacebookChatStatistics

01fc2a022d45ed695fa7f4ad53d6532a160379db

[ "MIT" ]

12

2018-05-15T19:15:25.000Z

2022-02-24T08:20:15.000Z

import sys import numpy as np import json import matplotlib.pyplot as plt from matplotlib.dates import DateFormatter from matplotlib.backends.backend_pdf import PdfPages from datetime import datetime, timedelta import matplotlib.dates as mdates import emoji class FacebookMessengerConversation(): """Module for get...

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0

null

0

null

0

1

0

5876eec474b4c0410b6e104f6c352d08e47e01ce

1,758

py

Python

setup.py

stevearc/pyramid_duh

af14b185533d00b69dfdb8ab1cab6f1d1d8d4647

[ "MIT" ]

5

2015-12-15T09:27:16.000Z

2017-12-12T12:56:04.000Z

setup.py

stevearc/pyramid_duh

af14b185533d00b69dfdb8ab1cab6f1d1d8d4647

[ "MIT" ]

null

setup.py

stevearc/pyramid_duh

af14b185533d00b69dfdb8ab1cab6f1d1d8d4647

[ "MIT" ]

null

""" Setup file """ import os import sys from setuptools import setup, find_packages HERE = os.path.abspath(os.path.dirname(__file__)) README = open(os.path.join(HERE, 'README.rst')).read() CHANGES = open(os.path.join(HERE, 'CHANGES.rst')).read() REQUIREMENTS = [ 'pyramid', 'six', ] TEST_REQUIREMENTS = [ ...

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0

0.061224

0

null

0

null

0

1

0

5877683380ccf730fab956e05f9d48490796920d

555

py

Python

telegramhelpers.py

olgamirete/log-public-ip

0e53c27e62f0709a9d0adf52c860b407a841a252

[ "MIT" ]

null

telegramhelpers.py

olgamirete/log-public-ip

0e53c27e62f0709a9d0adf52c860b407a841a252

[ "MIT" ]

null

telegramhelpers.py

olgamirete/log-public-ip

0e53c27e62f0709a9d0adf52c860b407a841a252

[ "MIT" ]

null

import requests, os from dotenv import load_dotenv load_dotenv() API_TOKEN = os.getenv('API_TOKEN') def sendMessage(user_id: str, text: str, max_retries: int = 1): url = f'https://api.telegram.org/bot{API_TOKEN}/sendMessage' payload = { "chat_id": user_id, "text": text } for i in rang...

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0.002611

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0.801567

0

0.1

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0

1

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0.05

0.1

0

0.25

0

null

0

null

0

1

0

58793e76d3fcb25dfcdd3339f4cd5621aa988f33

1,880

py

Python

datawinners/questionnaire/tests/test_questionnaire_template.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

1

2015-11-02T09:11:12.000Z

datawinners/questionnaire/tests/test_questionnaire_template.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

null

datawinners/questionnaire/tests/test_questionnaire_template.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

null

from unittest import TestCase from mock import patch, MagicMock from mangrove.datastore.database import DatabaseManager from datawinners.questionnaire.library import QuestionnaireLibrary class TestQuestionnaireTemplate(TestCase): def test_get_category_to_doc_mappings(self): with patch('datawinners.quest...

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null

0

null

0

1

0

58795121905bb3b21c3853525b46782e8fe333ee

2,826

py

Python

chainer_chemistry/links/update/ggnn_update.py

pfnet/chainerchem

efe323aa21f63a815130d673781e7cca1ccb72d2

[ "MIT" ]

184

2019-11-27T12:59:01.000Z

2022-03-29T19:18:54.000Z

chainer_chemistry/links/update/ggnn_update.py

pfnet/chainerchem

efe323aa21f63a815130d673781e7cca1ccb72d2

[ "MIT" ]

21

2019-12-08T01:53:33.000Z

2020-10-23T01:19:56.000Z

chainer_chemistry/links/update/ggnn_update.py

pfnet/chainerchem

efe323aa21f63a815130d673781e7cca1ccb72d2

[ "MIT" ]

45

2019-11-28T09:59:54.000Z

2022-02-07T02:42:46.000Z

import chainer from chainer import functions from chainer import links import chainer_chemistry from chainer_chemistry.links.connection.graph_linear import GraphLinear from chainer_chemistry.utils import is_sparse class GGNNUpdate(chainer.Chain): """GGNN submodule for update part. Args: in_channels ...

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0

null

0

null

0

1

0

58803dca4ce3bbdf62d3eb2aca41861e7c2239d8

1,125

py

Python

main.py

philipperemy/tensorflow-fifo-queue-example

1e38e6e907b7856e954caeeb01d52f7d66e54de0

[ "MIT" ]

42

2017-03-17T07:22:30.000Z

2022-03-31T16:11:50.000Z

main.py

afcarl/tensorflow-fifo-queue-example

885bcfe417f6d3a9beb4180922cd221d95abc1ef

[ "MIT" ]

2

2017-08-15T19:23:26.000Z

2017-08-18T02:49:11.000Z

main.py

afcarl/tensorflow-fifo-queue-example

885bcfe417f6d3a9beb4180922cd221d95abc1ef

[ "MIT" ]

15

2017-05-04T07:27:24.000Z

2022-03-31T16:26:28.000Z

from __future__ import print_function import time import tensorflow as tf from data import DataGenerator def define_net(input_batch): return input_batch + 20 # simplest network I could think of. def main(): batch_size = 1 coord = tf.train.Coordinator() with tf.name_scope('create_inputs'): ...

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0.037992

0.05156

0

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1,125

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0

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0.035714

0.25

0.142857

0

null

0

null

0

1

0

58803eeb0ae16d220e9ed2f74395fa7c80ff5afa

1,285

py

Python

Chapter_3/OO_DimmerSwitch_Model1.py

zjwillie/Object-Oriented-Python-Code

017b07084c7937c870926b96a856f60b9d7077aa

[ "BSD-2-Clause" ]

38

2021-11-16T03:04:42.000Z

2022-03-27T05:57:50.000Z

Chapter_3/OO_DimmerSwitch_Model1.py

zjwillie/Object-Oriented-Python-Code

017b07084c7937c870926b96a856f60b9d7077aa

[ "BSD-2-Clause" ]

null

Chapter_3/OO_DimmerSwitch_Model1.py

zjwillie/Object-Oriented-Python-Code

017b07084c7937c870926b96a856f60b9d7077aa

[ "BSD-2-Clause" ]

22

2021-11-11T15:57:58.000Z

2022-03-18T12:58:07.000Z

# Dimmer Switch class class DimmerSwitch(): def __init__(self, label): self.label = label self.isOn = False self.brightness = 0 def turnOn(self): self.isOn = True # turn the light on at self.brightness def turnOff(self): self.isOn = False # ...

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0.121212

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null

0

null

0

1

0

5881480162c7fded411cf84766484caa36fe07ea

2,101

py

Python

python/vosk/transcriber/cli.py

madkote/vosk-api

8cf64ee93e5cc21a6d53595c6a80fc638a45b1d7

[ "Apache-2.0" ]

33

2019-09-03T23:21:14.000Z

2020-01-02T10:18:15.000Z

python/vosk/transcriber/cli.py

madkote/vosk-api

8cf64ee93e5cc21a6d53595c6a80fc638a45b1d7

[ "Apache-2.0" ]

7

2019-09-11T09:40:03.000Z

2019-12-31T10:04:21.000Z

python/vosk/transcriber/cli.py

madkote/vosk-api

8cf64ee93e5cc21a6d53595c6a80fc638a45b1d7

[ "Apache-2.0" ]

10

2019-09-05T05:30:16.000Z

2020-01-02T10:18:17.000Z

#!/usr/bin/env python3 import logging import argparse from pathlib import Path from vosk import list_models, list_languages from vosk.transcriber.transcriber import Transcriber parser = argparse.ArgumentParser( description = 'Transcribe audio file and save result in selected format') parser.add_argument( ...

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5.042636

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114

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0.147541

0

null

0

null

0

1

0

58816407aff8c18d528cadd21c391b1d398c40c2

2,923

py

Python

OCR-Flask-app-master/tesseract.py

ChungNPH/OCR

06a78fa5f2c8f5891db1969ac2076ef8d20b74a8

[ "MIT" ]

null

OCR-Flask-app-master/tesseract.py

ChungNPH/OCR

06a78fa5f2c8f5891db1969ac2076ef8d20b74a8

[ "MIT" ]

null

OCR-Flask-app-master/tesseract.py

ChungNPH/OCR

06a78fa5f2c8f5891db1969ac2076ef8d20b74a8

[ "MIT" ]

null

import numpy as np import cv2 from imutils.object_detection import non_max_suppression import pytesseract from matplotlib import pyplot as plt def ocr(images): results = [] for image in images: args = {"image": image, "east": "frozen_east_text_detection.pb", "min_confidence": 0.5, "width": 320, ...

30.134021

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0

null

0

null

0

1

0

588580ba517b618b5770a81ab628f3858c9ed41b

3,141

py

Python

DeepModels/KerasConvNetMNIST.py

amingolnari/Deep-Learning-Course

00d4fe10db8d1dde3d9b2a94fe93531e8f836cbc

[ "MIT" ]

17

2018-12-05T06:50:34.000Z

2021-05-26T04:03:18.000Z

DeepModels/KerasConvNetMNIST.py

amingolnari/Deep-Learning-Course

00d4fe10db8d1dde3d9b2a94fe93531e8f836cbc

[ "MIT" ]

null

DeepModels/KerasConvNetMNIST.py

amingolnari/Deep-Learning-Course

00d4fe10db8d1dde3d9b2a94fe93531e8f836cbc

[ "MIT" ]

3

2018-12-08T14:59:47.000Z

2019-12-26T17:52:09.000Z

""" github : https://github.com/amingolnari/Deep-Learning-Course Author : Amin Golnari Keras Version : 2.2.4 Date : 4/12/2018 Keras CNN Classification on MNIST Data Code 301 """ ## If your GPU is AMD , you can use PlaidML Backend # import os # os.environ["KERAS_BACKEND"] = "plaidml.keras.backend" from keras.models i...

32.381443

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0.747899

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0.19697

0.015152

0

null

0

null

0

1

0

588a0eb119fc13cdd266d6e4d090c38c400126a9

526

py

Python

armstrong.py

Sanchr-sys/Letsupgrade_python7

f130cb1dff259878193fb65dd414fc936a7c760d

[ "Apache-2.0" ]

null

armstrong.py

Sanchr-sys/Letsupgrade_python7

f130cb1dff259878193fb65dd414fc936a7c760d

[ "Apache-2.0" ]

null

armstrong.py

Sanchr-sys/Letsupgrade_python7

f130cb1dff259878193fb65dd414fc936a7c760d

[ "Apache-2.0" ]

null

start = 104200 end = 702648265 for arm1 in range(start, end + 1): exp = len(str(arm1)) num_sum = 0 c = arm1 while c > 0: num = c % 10 num_sum += num ** exp c //= 10 if arm1 != num_sum: continue else: if arm1 == num_sum: ...

17.533333

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0.395437

526

29

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false

0

0.0625

0

null

0

null

0

1

0

588a5c56f6208237e504aa5b6fa4afab73e5300c

787

py

Python

neji.py

NejiViraj/Viraj

d5bfc60e29100e00a87596b5e16961ab97a3dc4c

[ "BSD-2-Clause" ]

null

neji.py

NejiViraj/Viraj

d5bfc60e29100e00a87596b5e16961ab97a3dc4c

[ "BSD-2-Clause" ]

null

neji.py

NejiViraj/Viraj

d5bfc60e29100e00a87596b5e16961ab97a3dc4c

[ "BSD-2-Clause" ]

null

import requests import json def Neji_version(): # import neji # print(neji.Neji_version()) # output: Hydrogen-0.0.0.1 return "Hydrogen-0.0.0.1" def Neji_upload(put_file_directory_in_string_format): # import neji # print(neji.Neji_upload(r"C:\...\Pictures\trial\black1 - Copy (5).png")) ...

24.59375

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