xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

97849e29d8bc30894785e486625de3eacbf655df

570

py

Python

src/odontology/person/migrations/0008_patient_date_created.py

nanomolina/JP

248a47bced4dac850f85d28968ddf279cd123400

[ "Apache-2.0" ]

2

2016-06-23T15:35:29.000Z

2022-01-11T00:55:21.000Z

src/odontology/person/migrations/0008_patient_date_created.py

nanomolina/JP

248a47bced4dac850f85d28968ddf279cd123400

[ "Apache-2.0" ]

27

2016-06-24T12:28:01.000Z

2022-01-13T00:37:25.000Z

src/odontology/person/migrations/0008_patient_date_created.py

nanomolina/JP

248a47bced4dac850f85d28968ddf279cd123400

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import datetime from django.utils.timezone import utc class Migration(migrations.Migration): dependencies = [ ('person', '0007_auto_20160214_2019'), ] operations = [ migrations.AddFi...

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py

Python

Sensor_Debug/TestCase/test_01_Openapp.py

sdwfclcyk1/AutoTestCase

63a6a6a4acf2a9dc572bd917b186638eae65aee7

[ "MIT" ]

1

2018-09-28T11:35:07.000Z

Sensor_Debug/TestCase/test_01_Openapp.py

sdwfclcyk1/AutoTestCase

63a6a6a4acf2a9dc572bd917b186638eae65aee7

[ "MIT" ]

null

Sensor_Debug/TestCase/test_01_Openapp.py

sdwfclcyk1/AutoTestCase

63a6a6a4acf2a9dc572bd917b186638eae65aee7

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/6/25 18:59 # @Author : Kay # @Site : # @File : test_01_openapp.py # @Software: PyCharm Community Edition import uiautomator2 as u2 import unittest from Public.Decorator import * from Public.BasePage import BasePage from Public.ReadConfig import Rea...

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978a831843efed4c9a546c08310214668dcc7a6e

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py

Python

docs/database_tables.py

wdr-data/wdr-okr

71c9e6e8d3521b1bb67d30310a93584389de2127

[ "MIT" ]

2

2021-07-28T08:46:13.000Z

2022-01-19T17:05:48.000Z

docs/database_tables.py

wdr-data/wdr-okr

71c9e6e8d3521b1bb67d30310a93584389de2127

[ "MIT" ]

3

2020-11-10T23:34:17.000Z

2021-03-31T16:19:21.000Z

docs/database_tables.py

wdr-data/wdr-okr

71c9e6e8d3521b1bb67d30310a93584389de2127

[ "MIT" ]

null

"""Read database information from Django models and create a HTML table for the documentation. """ import collections import os import sys import django from loguru import logger DOCS_DIR = os.path.dirname(os.path.abspath(__file__)) BASE_DIR = os.path.dirname(DOCS_DIR) sys.path.insert(0, BASE_DIR) os.environ["DJANG...

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null

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978c454e2c28df828f082014fc81cd881d17aa27

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py

Python

device/container/src/baseline_device/service/jobs/sample2.py

MartinMReed/aws-iot-baseline

61bdc51708e6f4480d0117a43f0adde5f6a63506

[ "MIT" ]

1

2021-12-31T05:05:30.000Z

device/container/src/baseline_device/service/jobs/sample2.py

nelsestu/thing-expert

2e105d718c386258d8efdb329ea60da1072ffbe8

[ "MIT" ]

null

device/container/src/baseline_device/service/jobs/sample2.py

nelsestu/thing-expert

2e105d718c386258d8efdb329ea60da1072ffbe8

[ "MIT" ]

1

2021-04-05T23:44:12.000Z

import json import logging import os import sys import threading import time import paho.mqtt.client as paho import paho.mqtt.publish as paho_publish from baseline_device.util.config import config from baseline_device.util.mqtt import MqttLoggingHandler logging.basicConfig(level=logging.INFO) logger = logging.getLog...

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978cde5321a929429de3c79977503bd4e3e5a2f0

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py

Python

odoo-13.0/addons/sale/tests/test_onchange.py

VaibhavBhujade/Blockchain-ERP-interoperability

b5190a037fb6615386f7cbad024d51b0abd4ba03

[ "MIT" ]

12

2021-03-26T08:39:40.000Z

2022-03-16T02:20:10.000Z

odoo-13.0/addons/sale/tests/test_onchange.py

VaibhavBhujade/Blockchain-ERP-interoperability

b5190a037fb6615386f7cbad024d51b0abd4ba03

[ "MIT" ]

13

2020-12-20T16:00:21.000Z

2022-03-14T14:55:30.000Z

odoo-13.0/addons/sale/tests/test_onchange.py

VaibhavBhujade/Blockchain-ERP-interoperability

b5190a037fb6615386f7cbad024d51b0abd4ba03

[ "MIT" ]

17

2020-08-31T11:18:49.000Z

2022-02-09T05:57:31.000Z

# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from odoo.tests import Form from odoo.tests.common import TransactionCase class TestOnchangeProductId(TransactionCase): """Test that when an included tax is mapped by a fiscal position, the included tax must be ...

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null

0

null

0

1

0

978e392b87cb419fb505337ab4cee06b350097b0

8,390

py

Python

IEX_29id/utils/folders.py

kellyjelly0904/macros_29id

573946d13eee7f85da049ac666b5dd2d18d19bb1

[ "MIT" ]

null

IEX_29id/utils/folders.py

kellyjelly0904/macros_29id

573946d13eee7f85da049ac666b5dd2d18d19bb1

[ "MIT" ]

1

2021-11-10T02:00:41.000Z

2021-11-11T03:02:23.000Z

IEX_29id/utils/folders.py

kellyjelly0904/macros_29id

573946d13eee7f85da049ac666b5dd2d18d19bb1

[ "MIT" ]

2

2021-09-28T21:19:47.000Z

2021-10-12T20:51:43.000Z

from epics import caput from IEX_29id.utils.exp import Check_run, BL_Mode_Set, BL_ioc from IEX_29id.mda.file import MDA_CurrentDirectory from IEX_29id.mda.file import MDA_CurrentRun import os import re def Make_DataFolder(run,folder,UserName,scanIOC,ftp): #JM was here ->print full crontab command and change permi...

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978f1fcb3bef9348f27a0824ad9894eb219d2595

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py

Python

sceance/set_watchlist.py

sjmignot/film-to-cal

82d5e96b65197ff96522324d6527fca6f18cc76b

[ "MIT" ]

6

2020-02-05T21:31:57.000Z

2020-03-08T00:35:16.000Z

sceance/set_watchlist.py

sjmignot/film-to-cal

82d5e96b65197ff96522324d6527fca6f18cc76b

[ "MIT" ]

null

sceance/set_watchlist.py

sjmignot/film-to-cal

82d5e96b65197ff96522324d6527fca6f18cc76b

[ "MIT" ]

null

# -*- coding: utf-8 -*- ''' Starts a Firfox headless brower to see if movies on your watchlist are playing at any of your favorite theaters. Favorite theaters are taken from a txt file (extracted from "theaters.txt"). These showtimes are compared to a watchlist (extracted from "watchlist.txt") -samuel mignot- ''' # ...

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978fd61709e98a6a4163084a70975c96d6b7f512

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py

Python

ARHMM-code/olfactory_search_xval.py

Smear-Lab/Olfactory_Search

92ea57cdd49b9c1d88ffe5d7b18a0be2cd73f0ff

[ "MIT" ]

null

ARHMM-code/olfactory_search_xval.py

Smear-Lab/Olfactory_Search

92ea57cdd49b9c1d88ffe5d7b18a0be2cd73f0ff

[ "MIT" ]

null

ARHMM-code/olfactory_search_xval.py

Smear-Lab/Olfactory_Search

92ea57cdd49b9c1d88ffe5d7b18a0be2cd73f0ff

[ "MIT" ]

null

#Misc import os, time, argparse import h5py, json import glob, fnmatch,pdb from tqdm import tqdm import multiprocessing #Base import numpy as np import pandas as pd import scipy.stats as st from sklearn.model_selection import StratifiedKFold #Plotting import matplotlib matplotlib.use('Agg') import seaborn as sns from m...

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null

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9793545d6d0e47925c766734e2f8f75b3b0595d3

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py

Python

src/pyeff_io.py

pyflosic/pyeff

4b76fcc4a0bfb25f9f4106567d01b5ea02db6737

[ "Apache-2.0" ]

3

2019-06-24T08:04:25.000Z

2020-05-26T03:45:45.000Z

src/pyeff_io.py

pyflosic/pyeff

4b76fcc4a0bfb25f9f4106567d01b5ea02db6737

[ "Apache-2.0" ]

null

src/pyeff_io.py

pyflosic/pyeff

4b76fcc4a0bfb25f9f4106567d01b5ea02db6737

[ "Apache-2.0" ]

null

# Copyright 2019 PyEFF developers # # 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 agree...

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979375047a16643d63291a0d8aad8d8fc63735f2

22,196

py

Python

declarations_site/catalog/data/mapping_chesno.py

li-ar/declarations.com.ua

343cd86cc5a4bd895f2859ed896728f6416ac223

[ "MIT" ]

32

2015-04-01T15:17:35.000Z

2021-05-02T20:46:33.000Z

declarations_site/catalog/data/mapping_chesno.py

li-ar/declarations.com.ua

343cd86cc5a4bd895f2859ed896728f6416ac223

[ "MIT" ]

52

2015-03-23T21:37:04.000Z

2022-02-10T07:27:13.000Z

declarations_site/catalog/data/mapping_chesno.py

li-ar/declarations.com.ua

343cd86cc5a4bd895f2859ed896728f6416ac223

[ "MIT" ]

18

2015-03-16T22:10:44.000Z

2021-11-01T12:56:12.000Z

from collections import namedtuple SubDocument = namedtuple("SubDocument", ["path_prefix", "mapping"]) NumericOperation = namedtuple("NumericOperation", ["path_prefix", "field", "operation"]) JoinOperation = namedtuple("JoinOperation", ["paths", "separator"]) MAPPING = { "_id": "details/id", "intro": { ...

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9793ec4954370ea87c1224757843713b7976c1e3

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py

Python

common/threads/thread_pool.py

ziizhuwy/cify

627ae74f6a27d803521df213e8644366dbba183f

[ "Apache-2.0" ]

8

2018-10-11T16:05:14.000Z

2020-12-30T08:21:15.000Z

common/threads/thread_pool.py

keven1z/cify

627ae74f6a27d803521df213e8644366dbba183f

[ "Apache-2.0" ]

1

2020-04-22T03:36:59.000Z

2020-06-11T06:42:42.000Z

common/threads/thread_pool.py

ziizhuwy/cify

627ae74f6a27d803521df213e8644366dbba183f

[ "Apache-2.0" ]

4

2019-07-10T06:51:45.000Z

2020-04-19T09:52:09.000Z

# !/usr/bin/env python # -*- coding:utf-8 -*- import queue import threading import traceback from data.config import * from common.log.log_util import LogUtil as log logger = log.getLogger(__name__) class ThreadPool(object): def __init__(self): self.task_queue = queue.Queue() self.threads = []...

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9794d489e11c9d85b61fcfda17b5fcf122b391c0

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py

Python

whatsappy/group.py

YohananDiamond/whatsappy

2474839baf32295fea568c4dd30c59edace11e58

[ "MIT" ]

null

whatsappy/group.py

YohananDiamond/whatsappy

2474839baf32295fea568c4dd30c59edace11e58

[ "MIT" ]

null

whatsappy/group.py

YohananDiamond/whatsappy

2474839baf32295fea568c4dd30c59edace11e58

[ "MIT" ]

null

from time import sleep from selenium.webdriver.common.keys import Keys from os import path from .tool import * from .error import BadPathError import traceback def change_group_description(self, description: str): """Changes the group description Args: description (str): New group description """...

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97959af172f3896c43a9153dc3a145cbbaa7178b

365

py

Python

Books/GodOfPython/P16_Networking/SimplehttpServer.py

Tim232/Python-Things

05f0f373a4cf298e70d9668c88a6e3a9d1cd8146

[ "MIT" ]

2

2020-12-05T07:42:55.000Z

2021-01-06T23:23:18.000Z

Books/GodOfPython/P16_Networking/SimplehttpServer.py

Tim232/Python-Things

05f0f373a4cf298e70d9668c88a6e3a9d1cd8146

[ "MIT" ]

null

Books/GodOfPython/P16_Networking/SimplehttpServer.py

Tim232/Python-Things

05f0f373a4cf298e70d9668c88a6e3a9d1cd8146

[ "MIT" ]

null

from http.server import HTTPServer, SimpleHTTPRequestHandler import sys ip = '127.0.0.1' port = 8000 addr = (ip, port) httpd = HTTPServer(addr, SimpleHTTPRequestHandler) Servip, Servport = httpd.socket.getsockname() try: httpd.serve_forever() except KeyboardInterrupt: print('Keyboard interrupt received, exi...

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null

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null

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979851dc526feb93a60dbe69c32893824847ba79

1,217

py

Python

dataclasses_serialization/serializer_base/dataclasses.py

blfoster/python-dataclasses-serialization

1a2d1fc15ca1800c2b4953fe5cb2557f37d1475d

[ "MIT" ]

19

2019-04-15T15:57:20.000Z

2021-07-09T07:01:12.000Z

dataclasses_serialization/serializer_base/dataclasses.py

blfoster/python-dataclasses-serialization

1a2d1fc15ca1800c2b4953fe5cb2557f37d1475d

[ "MIT" ]

14

2019-08-01T13:03:53.000Z

2021-04-20T13:26:54.000Z

dataclasses_serialization/serializer_base/dataclasses.py

blfoster/python-dataclasses-serialization

1a2d1fc15ca1800c2b4953fe5cb2557f37d1475d

[ "MIT" ]

11

2019-06-13T21:38:55.000Z

2022-02-28T08:53:20.000Z

from toolz import curry from dataclasses_serialization.serializer_base.errors import DeserializationError from dataclasses_serialization.serializer_base.noop import noop_deserialization from dataclasses_serialization.serializer_base.typing import ( dataclass_field_types, isinstance, ) __all__ = ["dict_to_data...

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979b57b2f520e53382dbdd26bd190261e6e49b86

9,359

py

Python

DQN_Qlearning/agent.py

WoShiDongZhiWu/Reinforcement-learning-Algorithm

59fdf29e7feb73048b9ddf3b4755b55f0459efcb

[ "Apache-2.0" ]

1

2019-12-23T02:59:13.000Z

DQN_Qlearning/agent.py

WoShiDongZhiWu/reinforcement-learning-algorithm

59fdf29e7feb73048b9ddf3b4755b55f0459efcb

[ "Apache-2.0" ]

null

DQN_Qlearning/agent.py

WoShiDongZhiWu/reinforcement-learning-algorithm

59fdf29e7feb73048b9ddf3b4755b55f0459efcb

[ "Apache-2.0" ]

null

''' ################################################################################################# # author wudong # date 20190812 # 功能 # 实现各类算法，Srasa(0),Sarsa(λ),Q-learning,DQN ################################################################################################# ''' from random import random, choic...

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979c4c7ab54f0e47ec7248d0082811b92e99c917

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py

Python

DMProject/15.package/15.7.MNIST.py

gongjunhuang/Spider

c683137dafac9c7f4afd359baf9d0717d1a127e2

[ "Apache-2.0" ]

1

2018-02-26T15:45:17.000Z

DMProject/15.package/15.7.MNIST.py

gongjunhuang/Spider

c683137dafac9c7f4afd359baf9d0717d1a127e2

[ "Apache-2.0" ]

null

DMProject/15.package/15.7.MNIST.py

gongjunhuang/Spider

c683137dafac9c7f4afd359baf9d0717d1a127e2

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding:utf-8 -*- import numpy as np from sklearn import svm import matplotlib.colors import matplotlib.pyplot as plt from PIL import Image from sklearn.metrics import accuracy_score import pandas as pd import os import csv from sklearn.model_selection import train_test_split from sklearn.model_...

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null

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null

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0

979c80762641e4c8d009fdd05535ea43eb570cd2

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py

Python

examples/collision-avoid/pyplot_staticplan.py

yinanl/rocs

bf2483903e39f4c0ea254a9ef56720a1259955ad

[ "BSD-3-Clause" ]

null

examples/collision-avoid/pyplot_staticplan.py

yinanl/rocs

bf2483903e39f4c0ea254a9ef56720a1259955ad

[ "BSD-3-Clause" ]

null

examples/collision-avoid/pyplot_staticplan.py

yinanl/rocs

bf2483903e39f4c0ea254a9ef56720a1259955ad

[ "BSD-3-Clause" ]

null

import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.animation as animation import matplotlib.colors as mcolors from scipy.interpolate import interp1d from scipy.integrate import solve_ivp import os import re import numpy as np import h5py import sys from os.path import dirname, realpa...

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null

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0

97a1ff60f08e5d9b17054c1f2b8239c0c712ac7b

17,655

py

Python

vol3/vol3-python-examples/lib/aifh/som.py

Sun-Joong/aifh

1b6363d26f54b77348020ce88ced0670568ed736

[ "Apache-2.0" ]

777

2015-01-17T22:48:26.000Z

2022-03-31T01:10:07.000Z

vol3/vol3-python-examples/lib/aifh/som.py

Sun-Joong/aifh

1b6363d26f54b77348020ce88ced0670568ed736

[ "Apache-2.0" ]

17

2015-01-02T14:41:24.000Z

2017-09-02T02:57:09.000Z

vol3/vol3-python-examples/lib/aifh/som.py

Sun-Joong/aifh

1b6363d26f54b77348020ce88ced0670568ed736

[ "Apache-2.0" ]

445

2015-01-26T17:01:49.000Z

2022-03-24T07:16:58.000Z

#!/usr/bin/env python """ Artificial Intelligence for Humans Volume 3: Deep Learning and Neural Networks Python Version http://www.aifh.org http://www.jeffheaton.com Code repository: https://github.com/jeffheaton/aifh Copyright 2015 by Jeff Heaton Licensed under the Apache License, V...

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null

0

null

0

1

0

97a57543f9dc26b5f9e4368297bf82071ccf16c7

1,855

py

Python

src/GUI/custom_widgets.py

QWERTSKIHACK/peniot

8b5c5c4dddb5adf53977c3e2e99e645a086f1f0b

[ "MIT" ]

143

2019-12-31T08:12:36.000Z

2022-03-31T15:59:51.000Z

src/GUI/custom_widgets.py

QWERTSKIHACK/peniot

8b5c5c4dddb5adf53977c3e2e99e645a086f1f0b

[ "MIT" ]

5

2020-01-28T15:47:23.000Z

2022-02-23T11:18:55.000Z

src/GUI/custom_widgets.py

QWERTSKIHACK/peniot

8b5c5c4dddb5adf53977c3e2e99e645a086f1f0b

[ "MIT" ]

39

2019-12-30T22:19:38.000Z

2022-03-17T10:24:37.000Z

from Tkinter import * from hard_coded_texts import get_project_name class Header(Frame): """ Generic header template class which is used for construction of different screens """ def __init__(self, parent_window): Frame.__init__(self, parent_window) # Configure the window self...

37.1

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0

null

0

null

0

1

0

97a757d0e58b59160fb7713ada622222e925c521

4,479

py

Python

Code/search.py

Keyology/cs-1.3-2020

7b6f02c76dc16f1abafc613ebe6088d51b36b3be

[ "MIT" ]

null

Code/search.py

Keyology/cs-1.3-2020

7b6f02c76dc16f1abafc613ebe6088d51b36b3be

[ "MIT" ]

4

2020-02-17T23:27:06.000Z

2020-03-10T20:21:22.000Z

Code/search.py

Keyology/cs-1.3-2020

7b6f02c76dc16f1abafc613ebe6088d51b36b3be

[ "MIT" ]

null

#!python def linear_search(array, item): """return the first index of item in array or None if item is not found""" # implement linear_search_iterative and linear_search_recursive below, then # change this to call your implementation to verify it passes all tests # return linear_search_iterative(array,...

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null

0

null

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1

0

97affcf5430ea542d75da78b8065ecc199a3cc76

1,898

py

Python

PyMess/FIPS/ANN/ConvertData.py

mattkjames7/PyMess

f2c68285a7845a24d98284e20ed4292ed5e58138

[ "MIT" ]

null

PyMess/FIPS/ANN/ConvertData.py

mattkjames7/PyMess

f2c68285a7845a24d98284e20ed4292ed5e58138

[ "MIT" ]

null

PyMess/FIPS/ANN/ConvertData.py

mattkjames7/PyMess

f2c68285a7845a24d98284e20ed4292ed5e58138

[ "MIT" ]

null

import numpy as np from ... import Globals from .ReadData import ReadData import os import RecarrayTools as RT def _DateStrToDateUT(s): ''' convert date on the format YYYY-MM-DDThh:mm:ss.sss to an integer date and a floating point time. ''' Y = np.array([np.int32(x[0:4]) for x in s]) M = np.array([np.int32(x[5:7...

24.025316

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3.757862

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0.035146

0.093724

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0.050837

0.181243

1,898

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0

0.177778

0

null

0

null

0

1

0

97b281cd2e09060653c37e8623382835d9e1206e

3,891

py

Python

2_data_files/plotter.py

Abhipanda4/RQs_in_Regex_Graphs

80b86b5b3f92ef28102ac0f5049bb495b5cc07f9

[ "Apache-2.0" ]

2

2018-10-09T09:59:45.000Z

2021-11-21T17:01:47.000Z

2_data_files/plotter.py

Abhipanda4/RQs_in_Regex_Graphs

80b86b5b3f92ef28102ac0f5049bb495b5cc07f9

[ "Apache-2.0" ]

null

2_data_files/plotter.py

Abhipanda4/RQs_in_Regex_Graphs

80b86b5b3f92ef28102ac0f5049bb495b5cc07f9

[ "Apache-2.0" ]

null

import csv import matplotlib.pyplot as plt import numpy as np def index_sizes(): fp = open("./index_size.csv") x = csv.reader(fp, delimiter='\t') sizes = [] for line in x: size = float(line[0].strip()[:-1]) sizes.append(size) temp = sorted(sizes[:-1]) nodes = [i for i in range(1...

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0

null

0

null

0

1

0

97b47597bcd7e262415d73a5d1a8d5d991bcfe66

3,022

py

Python

generic_editor.py

jcooper-korg/talon_user

ef086f9890448f7d633a4f02b36a18de853581a8

[ "0BSD" ]

1

2018-09-22T22:34:35.000Z

generic_editor.py

jcooper-korg/talon_user

ef086f9890448f7d633a4f02b36a18de853581a8

[ "0BSD" ]

null

generic_editor.py

jcooper-korg/talon_user

ef086f9890448f7d633a4f02b36a18de853581a8

[ "0BSD" ]

null

# https://github.com/JonathanNickerson/talon_voice_user_scripts # jsc added indent/outdent and simplified jolt from talon.voice import Key, press, Str, Context ctx = Context('generic_editor') # , bundle='com.microsoft.VSCode') numeral_map = dict((str(n), n) for n in range(0, 20)) for n in [20, 30, 40, 50, 60, 70, 80...

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null

0

null

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1

0

97b62ed540d6ffc6ab71d19b389a5534151aeb3d

4,260

py

Python

setup.py

blschatz/pyHDT

9553fd49e1e89a89d248e5d75b3a49ad3b3e124f

[ "MIT" ]

null

setup.py

blschatz/pyHDT

9553fd49e1e89a89d248e5d75b3a49ad3b3e124f

[ "MIT" ]

null

setup.py

blschatz/pyHDT

9553fd49e1e89a89d248e5d75b3a49ad3b3e124f

[ "MIT" ]

null

# setup.py # Author: Thomas MINIER - MIT License 2017-2018 from setuptools import setup, Extension from os import listdir import pybind11 import distutils import platform __pyhdt_version__ = "1.2.1" with open('README.rst') as file: long_description = file.read() def list_files(path, extension=".cpp", exclude="S...

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0

0.136364

0

null

0

null

0

1

0

97ba1bc69fa28bb340ca97364cb86adfcaf60e62

2,880

py

Python

src/rest_api/mir_coords_to_csv.py

jonathanleinola/radiohead-master

f0854441c07aba0ccf51bf9ec8904b860eefd683

[ "MIT" ]

null

src/rest_api/mir_coords_to_csv.py

jonathanleinola/radiohead-master

f0854441c07aba0ccf51bf9ec8904b860eefd683

[ "MIT" ]

null

src/rest_api/mir_coords_to_csv.py

jonathanleinola/radiohead-master

f0854441c07aba0ccf51bf9ec8904b860eefd683

[ "MIT" ]

null

import time import sys import urllib3 from time import sleep import json import csv import datetime import requests from datetime import datetime import subprocess # just for changing file ownership at the end of script http = urllib3.PoolManager() ######################################################################...

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null

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null

0

1

0

97be40091dbb9d0bd5f45ca454971f59e1fb204d

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py

Python

timeeval_experiments/algorithms/mscred.py

HPI-Information-Systems/TimeEval

9b2717b89decd57dd09e04ad94c120f13132d7b8

[ "MIT" ]

2

2022-01-29T03:46:31.000Z

2022-02-14T14:06:35.000Z

timeeval_experiments/algorithms/mscred.py

HPI-Information-Systems/TimeEval

9b2717b89decd57dd09e04ad94c120f13132d7b8

[ "MIT" ]

null

timeeval_experiments/algorithms/mscred.py

HPI-Information-Systems/TimeEval

9b2717b89decd57dd09e04ad94c120f13132d7b8

[ "MIT" ]

null

from durations import Duration from typing import Any, Dict, Optional from timeeval import Algorithm, TrainingType, InputDimensionality from timeeval.adapters import DockerAdapter from timeeval.params import ParameterConfig import numpy as np import numpy as np from timeeval.utils.window import ReverseWindowing # p...

30.530435

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5.479714

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false

0

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0.114286

0

null

0

null

0

1

0

97bf1504b82eb929f132872535cb5630bd14f3ad

7,470

py

Python

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py

vishalbelsare/FEDOT

3a6f06b29cf2f173008d119f7cb5dc705a45f695

[ "BSD-3-Clause" ]

null

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py

vishalbelsare/FEDOT

3a6f06b29cf2f173008d119f7cb5dc705a45f695

[ "BSD-3-Clause" ]

null

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py

vishalbelsare/FEDOT

3a6f06b29cf2f173008d119f7cb5dc705a45f695

[ "BSD-3-Clause" ]

null

from typing import Optional import numpy as np from sklearn.feature_selection import RFE from sklearn.linear_model import LinearRegression, LogisticRegression from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor from fedot.core.data.data import OutputData from fedot.core.operations.evaluation.operat...

37.35

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0.28972

0

null

0

null

0

1

0

97c09d6d0c463e1a6cbc1d5065aab627ff77af00

18,595

py

Python

budou/budou.py

aodag/budou

97be13eb87745d5ac78e9c42eda97ac923226259

[ "Apache-2.0" ]

null

budou/budou.py

aodag/budou

97be13eb87745d5ac78e9c42eda97ac923226259

[ "Apache-2.0" ]

null

budou/budou.py

aodag/budou

97be13eb87745d5ac78e9c42eda97ac923226259

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # # Copyright 2017 Google Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requ...

33.625678

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0.00678

0

null

0

null

0

1

0

97c0f0316a610972e2430f4b0813c029c750b789

1,456

py

Python

lpd/callbacks/collect_outputs.py

RoySadaka/lpd

921454d9730d8228f4b0ca5349b0558ebd123c65

[ "MIT" ]

4

2020-10-02T10:04:19.000Z

2022-01-19T12:45:02.000Z

lpd/callbacks/collect_outputs.py

RoySadaka/lpd

921454d9730d8228f4b0ca5349b0558ebd123c65

[ "MIT" ]

1

2020-10-06T17:43:57.000Z

2020-10-06T17:47:43.000Z

lpd/callbacks/collect_outputs.py

RoySadaka/lpd

921454d9730d8228f4b0ca5349b0558ebd123c65

[ "MIT" ]

1

2020-10-03T17:21:32.000Z

from lpd.enums import Phase, State from lpd.callbacks.callback_base import CallbackBase from lpd.callbacks.callback_context import CallbackContext from typing import Union, List class CollectOutputs(CallbackBase): """ This callback will collect outputs per each state, (it is currently used in trainer.predi...

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1

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false

0

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0.05

0.45

0

null

0

null

0

1

0

97c42e24a090f424ea4838812d93847accbf8363

15,022

py

Python

snakebot.py

paulolima18/Snake_Python

f872f374c573963b4347333e4a2099a8956c9de4

[ "MIT" ]

null

snakebot.py

paulolima18/Snake_Python

f872f374c573963b4347333e4a2099a8956c9de4

[ "MIT" ]

null

snakebot.py

paulolima18/Snake_Python

f872f374c573963b4347333e4a2099a8956c9de4

[ "MIT" ]

null

'Game1' ''' x.type são os seguintes (Tudo em Capslock) quit atctiveevent keydown keyup mousemotion mousebuttonup mousebuttondown videioresize ''' #40pygame import pygame_textinput import pygame import random width=800 height=600 bsize=20 thick=20 fps=60 direction = 270 wall = 10 pygame.init() gdisplay=pygame.display....

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97c76c081c460323a55942e3974a52a93f0623d4

804

py

Python

run_tests.py

scottwittenburg/vcs

5b9f17fb78f7ab186fc0132ab81ada043a7ba348

[ "BSD-3-Clause" ]

11

2018-10-10T03:14:33.000Z

2022-01-05T14:18:15.000Z

run_tests.py

scottwittenburg/vcs

5b9f17fb78f7ab186fc0132ab81ada043a7ba348

[ "BSD-3-Clause" ]

196

2018-03-21T19:44:56.000Z

2021-12-21T21:56:24.000Z

run_tests.py

scottwittenburg/vcs

5b9f17fb78f7ab186fc0132ab81ada043a7ba348

[ "BSD-3-Clause" ]

5

2019-12-09T21:54:45.000Z

2022-03-20T04:22:14.000Z

#!/usr/bin/env python import os import sys import cdat_info class VCSTestRunner(cdat_info.TestRunnerBase): def _prep_nose_options(self): opt = super(VCSTestRunner, self)._prep_nose_options() if self.args.no_vtk_ui: opt += ["-A", "not vtk_ui"] if self.args.vtk is not None: ...

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null

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null

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97c77c550cf0c53433815e5c8467ef4ace730897

1,007

py

Python

pyrl/cli/util.py

jponf/pyrl

1353d59deee2731c509991a6cca90a7b991779bc

[ "Apache-2.0" ]

2

2021-01-25T15:04:45.000Z

2021-11-05T06:15:40.000Z

pyrl/cli/util.py

jponf/pyrl

1353d59deee2731c509991a6cca90a7b991779bc

[ "Apache-2.0" ]

null

pyrl/cli/util.py

jponf/pyrl

1353d59deee2731c509991a6cca90a7b991779bc

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import random import six # SciPy Stack import numpy as np # Torch import torch ############################################################################### def initialize_seed(seed): """Initializes the seed of different PRNGs. :param seed: Value to initialize the PRNGs. ""...

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0

null

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1

0

97c97448c31c9699860a83ac252dd71c1be4c6a6

1,522

py

Python

code/src/main/python/mos/blocks/contest_meta_block.py

anonfse/COSAL_Anonymized

709906294fd775131f3e019862bbdd554d83773d

[ "Unlicense" ]

null

code/src/main/python/mos/blocks/contest_meta_block.py

anonfse/COSAL_Anonymized

709906294fd775131f3e019862bbdd554d83773d

[ "Unlicense" ]

1

2021-11-03T08:28:31.000Z

code/src/main/python/mos/blocks/contest_meta_block.py

anonfse/COSAL_Anonymized

709906294fd775131f3e019862bbdd554d83773d

[ "Unlicense" ]

1

2022-03-22T14:24:13.000Z

import sys import os sys.path.append(os.path.abspath(".")) sys.dont_write_bytecode = True __author__ = "COSAL" from utils.lib import O class ContestMeta(O): def __init__(self, **kwargs): O.__init__(self, **kwargs) self.submission_id = None self.contest_type = None self.contest_id = None sel...

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null

0

null

0

1

0

97cc531294afb11301fe771674b2ba6517514180

562

py

Python

data/coco_korean/coco_load_image.py

Pixir/Pixir

63a6fc0728403af92eadf188f532f9f41cd9f912

[ "MIT" ]

null

data/coco_korean/coco_load_image.py

Pixir/Pixir

63a6fc0728403af92eadf188f532f9f41cd9f912

[ "MIT" ]

1

2020-02-10T08:11:23.000Z

data/coco_korean/coco_load_image.py

Pixir/Pixir

63a6fc0728403af92eadf188f532f9f41cd9f912

[ "MIT" ]

3

2020-02-09T11:14:33.000Z

2020-04-11T16:10:17.000Z

from PIL import Image import json import numpy as np from tqdm import tqdm with open('../../../coco/MSCOCO_train_val_Korean.json', 'r', encoding='utf-8') as f: info = json.load(f) # print(info[0]['file_path']) img_path = '../../../coco/' img_size = 64 images = np.empty((len(info), img_size, img_size, 3), dtype=n...

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null

0

null

0

1

0

97ccf40733199c207a29b866cea4353f6edc523b

630

py

Python

programming/udemy/SLLCycle.py

vamsitallapudi/Coderefer-Python-Projects

a7acc682251661e296c64533f4a85d47e6eedda2

[ "Apache-2.0" ]

1

2021-01-03T06:42:58.000Z

programming/udemy/SLLCycle.py

vamsitallapudi/Coderefer-Python-Projects

a7acc682251661e296c64533f4a85d47e6eedda2

[ "Apache-2.0" ]

null

programming/udemy/SLLCycle.py

vamsitallapudi/Coderefer-Python-Projects

a7acc682251661e296c64533f4a85d47e6eedda2

[ "Apache-2.0" ]

null

class Node: def __init__(self, value): self.value = value self.nextnode = None def cycle_check(node): if not node: return False head = node node = node.nextnode while node: if node == head: return True node = node.nextnode return False if _...

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0

null

0

null

0

1

0

97cea0095c84b4a1f87650614e47111614016fd2

3,619

py

Python

awesome/plugins/other_xsh/__init__.py

Lparksi/bot

8a38953d09436b60e8edff4ebe86bf19fe3b7046

[ "MIT" ]

3

2020-03-31T10:36:31.000Z

2020-04-23T12:01:10.000Z

awesome/plugins/other_xsh/__init__.py

Lparksi/bot

8a38953d09436b60e8edff4ebe86bf19fe3b7046

[ "MIT" ]

1

2020-07-16T14:51:26.000Z

2020-07-30T12:46:55.000Z

awesome/plugins/other_xsh/__init__.py

Lparksi/bot

8a38953d09436b60e8edff4ebe86bf19fe3b7046

[ "MIT" ]

null

from nonebot import on_command, CommandSession from nonebot import on_natural_language, NLPSession, IntentCommand from jieba import posseg @on_command("sushe", aliases=("宿舍", "寝室"), only_to_me=False) async def sushe(session: CommandSession): if session.event.group_id == 818278353: await session.send("""一...

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null

0

null

0

1

0

97cf4d5a480c01da483d0f38460e002acb1f26fe

3,387

py

Python

fabric_cf/broker/core/broker_kernel.py

fabric-testbed/ActorBase

3c7dd040ee79fef0759e66996c93eeec57c790b2

[ "MIT" ]

null

fabric_cf/broker/core/broker_kernel.py

fabric-testbed/ActorBase

3c7dd040ee79fef0759e66996c93eeec57c790b2

[ "MIT" ]

null

fabric_cf/broker/core/broker_kernel.py

fabric-testbed/ActorBase

3c7dd040ee79fef0759e66996c93eeec57c790b2

[ "MIT" ]

null

#!/usr/bin/env python3 # MIT License # # Copyright (c) 2020 FABRIC Testbed # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to ...

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0

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0

null

0

null

0

1

0

8ad8e73f0765a04eca466c875d8845aef87a9bad

372

py

Python

tests/lib/bes/hardware/test_Ftdi.py

reconstruir/bes

82ff54b2dadcaef6849d7de424787f1dedace85c

[ "Apache-2.0" ]

null

tests/lib/bes/hardware/test_Ftdi.py

reconstruir/bes

82ff54b2dadcaef6849d7de424787f1dedace85c

[ "Apache-2.0" ]

null

tests/lib/bes/hardware/test_Ftdi.py

reconstruir/bes

82ff54b2dadcaef6849d7de424787f1dedace85c

[ "Apache-2.0" ]

null

#!/usr/bin/env python #-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*- import unittest from bes.hardware.Ftdi import Ftdi class TestFtdi(unittest.TestCase): def test_find_devices(self): devices = Ftdi.find_devices() for device in devices: print('DEVICE: ', de...

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0.111111

0

null

0

null

0

1

0

8adba14d1116a00200adf306c8aff70161525c2c

6,504

py

Python

pyhdx/fitting_torch.py

sebaztiano/PyHDX

12fc2b5f67200885706226823bd8e1f46e3b5db1

[ "MIT" ]

null

pyhdx/fitting_torch.py

sebaztiano/PyHDX

12fc2b5f67200885706226823bd8e1f46e3b5db1

[ "MIT" ]

null

pyhdx/fitting_torch.py

sebaztiano/PyHDX

12fc2b5f67200885706226823bd8e1f46e3b5db1

[ "MIT" ]

null

import torch.nn as nn import torch.nn.functional as F from torch.optim import SGD import torch as t from scipy import constants import numpy as np import pandas as pd from pyhdx.models import Protein class DeltaGFit(nn.Module): def __init__(self, deltaG): super(DeltaGFit, self).__init__() self.del...

36.745763

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0

0.0078

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6,504

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0.150442

false

0

0.070796

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0.371681

0

null

0

null

0

1

0

8ae1bf6090dd889c0f197f2b8a758940dc94c4c9

992

py

Python

migrations/versions/035e7209663c_tags_and_base_with_unique.py

microservice-experiment-flask-0hsn/pocket-ws-flask

e7582a6ebe4b554070f183e43042c87762633085

[ "MIT" ]

null

migrations/versions/035e7209663c_tags_and_base_with_unique.py

microservice-experiment-flask-0hsn/pocket-ws-flask

e7582a6ebe4b554070f183e43042c87762633085

[ "MIT" ]

null

migrations/versions/035e7209663c_tags_and_base_with_unique.py

microservice-experiment-flask-0hsn/pocket-ws-flask

e7582a6ebe4b554070f183e43042c87762633085

[ "MIT" ]

null

"""tags and base with unique Revision ID: 035e7209663c Revises: Create Date: 2022-04-16 11:22:34.040818 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '035e7209663c' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### comman...

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0.166331

992

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0.297379

0

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0

1

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false

0

0.111111

0

0.222222

0

null

0

null

0

1

0

8ae264be6fcb91ac2eb22ef29be6e415fafa0087

6,079

py

Python

recline/commands/man_utils.py

NetApp/recline

065d9d90b6f5b63b535a091f14552e4790c26ecc

[ "BSD-3-Clause" ]

4

2020-05-29T22:54:41.000Z

2021-10-03T07:59:07.000Z

recline/commands/man_utils.py

NetApp/recline

065d9d90b6f5b63b535a091f14552e4790c26ecc

[ "BSD-3-Clause" ]

2

2020-08-28T07:39:43.000Z

2021-04-05T12:45:39.000Z

recline/commands/man_utils.py

NetApp/recline

065d9d90b6f5b63b535a091f14552e4790c26ecc

[ "BSD-3-Clause" ]

null

""" This module holds some utility functions used as part of the man command to format text from CLI commands into consistent man pages that respond to the terminal width. """ import curses from recline.arg_types.positional import Positional from recline.arg_types.remainder import Remainder from recline.commands.cli_...

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0

null

0

null

0

1

0

8ae39804dc5f4ef4b01469e35dccf93770837275

1,759

py

Python

bigml/tests/compare_forecasts_steps.py

pertinkoira/python

c486060f7f7c79ef9f48ced567f118ac7aae3f84

[ "Apache-2.0" ]

null

bigml/tests/compare_forecasts_steps.py

pertinkoira/python

c486060f7f7c79ef9f48ced567f118ac7aae3f84

[ "Apache-2.0" ]

3

2022-03-29T17:54:19.000Z

2022-03-29T17:54:42.000Z

bigml/tests/compare_forecasts_steps.py

pertinkoira/python

c486060f7f7c79ef9f48ced567f118ac7aae3f84

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # # Copyright 2017-2022 BigML # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...

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0

null

0

null

0

1

0

8ae58acf089690caafb8cdb5422fc701ad32f66a

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py

Python

application.py

roupenminassian/UTS-DSI-x-Disability-Research-Network

e08378594f09560a477521f22f62a47622e07cdd

[ "MIT" ]

null

application.py

roupenminassian/UTS-DSI-x-Disability-Research-Network

e08378594f09560a477521f22f62a47622e07cdd

[ "MIT" ]

null

application.py

roupenminassian/UTS-DSI-x-Disability-Research-Network

e08378594f09560a477521f22f62a47622e07cdd

[ "MIT" ]

null

import pandas as pd import streamlit as st import openai import os import jsonlines import pickle from rank_bm25 import BM25Okapi openai.organization = "org-eiJyreiRZUtpiu8pm6LIIA8B" openai.api_key = st.secrets['API_KEY'] """ # Data Science Institute x Disability Research Network: A UTS HASS-DSI Research Project Th...

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0

0.148936

0

null

0

null

0

1

0

8ae5d110cb00dff54458d2c48b5bb3d0525b7694

2,468

py

Python

examples/tour_examples/bootstrap_xkcd_tour.py

chau11ece/GitStudy

d2f1130d529ec99e3a08878dba7af41f2a08e27d

[ "MIT" ]

null

examples/tour_examples/bootstrap_xkcd_tour.py

chau11ece/GitStudy

d2f1130d529ec99e3a08878dba7af41f2a08e27d

[ "MIT" ]

null

examples/tour_examples/bootstrap_xkcd_tour.py

chau11ece/GitStudy

d2f1130d529ec99e3a08878dba7af41f2a08e27d

[ "MIT" ]

null

from seleniumbase import BaseCase class MyTestClass(BaseCase): def test_bootstrap_tour(self): self.open("https://xkcd.com/1117/") self.assert_element('img[alt="My Sky"]') self.create_bootstrap_tour() self.add_tour_step("Welcome to XKCD!") self.add_tour_step("This is the XKC...

36.294118

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2,468

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0.226415

0

null

0

null

0

1

0

8aed0fd9be816c87487500edc230255c399c0ca8

8,283

py

Python

PyReQTL/annotate.py

nalomran/PyReQTL

020535e69dfd7ab3c074a3e28cda6cca465672e8

[ "MIT" ]

14

2020-09-23T18:51:41.000Z

2020-10-10T11:22:58.000Z

PyReQTL/annotate.py

nalomran/PyReQTL

020535e69dfd7ab3c074a3e28cda6cca465672e8

[ "MIT" ]

null

PyReQTL/annotate.py

nalomran/PyReQTL

020535e69dfd7ab3c074a3e28cda6cca465672e8

[ "MIT" ]

null

#!/usr/bin/env python3 """Annotate the output of ReQTL as cis or trans Created on Aug, 29 2020 @author: Nawaf Alomran This module annotates the output of ReQTL as cis or trans based on whether the SNVs resides within its paired gene. Input + Options ---------------- + -r: the path to the ReQTL analysis result...

33

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0.608234

1,000

8,283

4.859

0.289

0.049393

0.081498

0.017288

0.28051

0.210949

0.190574

0.155999

0.118337

0.095287

0

0.009085

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8,283

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0

1

0.017857

false

0

0.178571

0

0.205357

0.080357

0

null

0

null

0

1

0

8aef1e6b611dba02218b5cc706c486dafbea639a

940

py

Python

fx_bmark_extract.py

kiike/scripts

c58386288ff889dd14c91db4487734b294ba3a81

[ "ISC" ]

null

fx_bmark_extract.py

kiike/scripts

c58386288ff889dd14c91db4487734b294ba3a81

[ "ISC" ]

null

fx_bmark_extract.py

kiike/scripts

c58386288ff889dd14c91db4487734b294ba3a81

[ "ISC" ]

null

#!/usr/bin/env python """ Import a Firefox bookmarks file into a single json list """ import json import pprint def walk(struct, depth=0): children = struct.get('children') if children: for child in children: if child.get('type') == 'text/x-moz-place': title = child.get('t...

24.736842

60

0.453191

109

940

3.816514

0.495413

0.076923

0.038462

0

0.003731

0.429787

940

37

61

25.405405

0.772388

0.080851

0

0.068925

0

1

0.038462

false

0

0.076923

0

0.115385

0.076923

0

null

0

null

0

1

0

8af9408c776206126f843ee9b5587d4d0acab636

5,153

py

Python

xcltk/utils/pileup_regions.py

Rongtingting/xcltk

2e86207c45a1caa7f905a89e1c121c3c203eab2d

[ "Apache-2.0" ]

null

xcltk/utils/pileup_regions.py

Rongtingting/xcltk

2e86207c45a1caa7f905a89e1c121c3c203eab2d

[ "Apache-2.0" ]

null

xcltk/utils/pileup_regions.py

Rongtingting/xcltk

2e86207c45a1caa7f905a89e1c121c3c203eab2d

[ "Apache-2.0" ]

2

2021-01-26T02:07:32.000Z

2021-02-03T03:56:55.000Z

# Copied from cellSNP, https://github.com/single-cell-genetics/cellSNP/blob/purePython/cellSNP/utils/pileup_regions.py # Utilility functions for pileup SNPs across regions # originally in from pileup_utils.py # Author: Yuanhua Huang # Date: 21/05/2018 # Modified by: Xianjie Huang from .pileup import * from .sam import...

38.744361

118

0.622938

682

5,153

4.438416

0.259531

0.023786

0.026759

0.026429

0.339941

0.309217

0.26561

0.251734

0.16518

0.143376

0

0.01252

0.287017

5,153

132

119

39.037879

0.811377

0.352222

0

0.171429

0

0.014747

0

0.007576

0

1

0.028571

false

0

0.028571

0

0.085714

0.014286

0

null

0

null

0

1

0

8af96d0df5555eb37bb2040db58c0c8a963553d0

374

py

Python

scrapy_framework/demotest.py

savor007/scrapy_framework

9f1266eb2d4bb7e181d1c5352b05298e77040980

[ "MIT" ]

null

scrapy_framework/demotest.py

savor007/scrapy_framework

9f1266eb2d4bb7e181d1c5352b05298e77040980

[ "MIT" ]

null

scrapy_framework/demotest.py

savor007/scrapy_framework

9f1266eb2d4bb7e181d1c5352b05298e77040980

[ "MIT" ]

null

import importlib # from scrapy_framework.config.settings import SPIDERS # # # for data in SPIDERS: # print(data) # path=data.rsplit(".",1)[0] # cls_name=data.rsplit(".",1)[1] # module=importlib.import_module(path) # cls=getattr(module, cls_name) # print(cls) d = {'a':1,'b':4,'c':2} c=sorted(...

20.777778

54

0.63369

58

374

4.017241

0.568966

0.085837

0.094421

0

0.025723

0.168449

374

18

55

20.777778

0.723473

0.65508

0

0.02521

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

8afad3555501f5f26b1ee0d4bb4ad784ace7da70

812

py

Python

imagersite/imager_images/urls.py

katcosgrove/django-imager

409081e6fa2933c7247fd8a9de49ec1cb053b778

[ "MIT" ]

null

imagersite/imager_images/urls.py

katcosgrove/django-imager

409081e6fa2933c7247fd8a9de49ec1cb053b778

[ "MIT" ]

2

2018-05-10T21:53:27.000Z

2018-05-15T17:37:20.000Z

imagersite/imager_images/urls.py

katcosgrove/django-imager

409081e6fa2933c7247fd8a9de49ec1cb053b778

[ "MIT" ]

null

from django.urls import path from .views import LibraryView, PhotosView, AlbumsView, PhotoView, AlbumView from .views import PhotoCreateView, AlbumCreateView, PhotoEditView, AlbumEditView urlpatterns = [ path('library/', LibraryView.as_view(), name='library'), path('photos/', PhotosView.as_view(), name='photo...

47.764706

81

0.704433

100

812

5.59

0.29

0.096601

0.161002

0.080501

0

0.108374

812

16

82

50.75

0.772099

0

0.227833

0

1

0

false

0

0.214286

0

0.214286

0

null

0

null

0

1

0

8afb51114e53c381340def1b8d3f0d6726b17916

310

py

Python

Python/049group_anagrams.py

Apocrypse/LeetCode

3ada2605ce8c8f6dadebf37a30c9c00a0d1ede39

[ "MIT" ]

4

2020-03-17T03:08:51.000Z

2022-03-14T17:33:28.000Z

Python/049group_anagrams.py

Apocrypse/LeetCode

3ada2605ce8c8f6dadebf37a30c9c00a0d1ede39

[ "MIT" ]

null

Python/049group_anagrams.py

Apocrypse/LeetCode

3ada2605ce8c8f6dadebf37a30c9c00a0d1ede39

[ "MIT" ]

3

2021-04-29T16:51:02.000Z

2022-03-19T17:37:56.000Z

class Solution: def groupAnagrams(self, strs): """ :type strs: List[str] :rtype: List[List[str]] """ result = collections.defaultdict(list) for s in strs: key = "".join(sorted(s)) result[key].append(s) return result.values()

25.833333

46

0.509677

33

310

4.787879

0.666667

0.088608

0

0.354839

310

11

47

28.181818

0.79

0.145161

0

1

0.142857

false

0

0.428571

0

null

0

null

0

1

0

8afb97d50c56a425188ed738b021e57471f05003

758

py

Python

app/urls.py

jhabarsingh/polling_app

8e9d6f8489576170cacb47be76e5bc4ec6378d06

[ "MIT" ]

1

2021-05-03T14:55:20.000Z

app/urls.py

jhabarsingh/polling_app

8e9d6f8489576170cacb47be76e5bc4ec6378d06

[ "MIT" ]

2

2021-03-01T16:37:30.000Z

2021-05-03T20:37:56.000Z

app/urls.py

jhabarsingh/polling_app

8e9d6f8489576170cacb47be76e5bc4ec6378d06

[ "MIT" ]

null

from django.urls import path from app import views app_name = 'poll' urlpatterns = [ path('', views.home, name='home'), path('register', views.register, name='register'), path('login', views.admin_login, name='login'), path('create_poll/', views.create_poll, name='create_poll'), path('show_polls/'...

39.894737

77

0.675462

106

758

4.632075

0.254717

0.09165

0.06721

0.069246

0

0.124011

758

18

78

42.111111

0.739458

0

0.306069

0.064644

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

8afe34ceebaf6f7db1a23f0d092b72c7df8780de

501

py

Python

1200-minimum-absolute-difference/1200-minimum-absolute-difference.py

marzy-bn/Leetcode_2022

07d6b9050279e82f610ed4a54209b33db3e3f8f9

[ "MIT" ]

null

1200-minimum-absolute-difference/1200-minimum-absolute-difference.py

marzy-bn/Leetcode_2022

07d6b9050279e82f610ed4a54209b33db3e3f8f9

[ "MIT" ]

null

1200-minimum-absolute-difference/1200-minimum-absolute-difference.py

marzy-bn/Leetcode_2022

07d6b9050279e82f610ed4a54209b33db3e3f8f9

[ "MIT" ]

null

class Solution: def minimumAbsDifference(self, arr: List[int]) -> List[List[int]]: results = [] mini = 1000000000 arr.sort() for a,b in zip(arr,arr[1:]): diff = abs(a-b) if diff == mini: results.append([a,b]) #print("pp...

29.470588

70

0.423154

51

501

4.156863

0.529412

0.037736

0.066038

0

0.04

0.451098

501

17

71

29.470588

0.730909

0.07984

0

1

0.076923

false

0

0.230769

0

null

0

null

0

1

0

8aff4d08b156fe05c3178ca97948dcab05b52a18

1,588

py

Python

famous_block/SENet.py

dongqifong/learning

a36453e82802f92c6fb4b03cd8e09938a763bac7

[ "MIT" ]

null

famous_block/SENet.py

dongqifong/learning

a36453e82802f92c6fb4b03cd8e09938a763bac7

[ "MIT" ]

null

famous_block/SENet.py

dongqifong/learning

a36453e82802f92c6fb4b03cd8e09938a763bac7

[ "MIT" ]

null

import torch import torch.nn as nn class SEBlock(nn.Module): def __init__(self, in_c, kernel_size, r, dummy_x) -> None: super().__init__() self.in_c = in_c self.conv1 = nn.Conv1d(in_channels=self.in_c, out_channels=self.in_c, kernel_size=kernel_size, padding=...

30.538462

108

0.537783

268

1,588

2.94403

0.216418

0.057034

0.08872

0.015209

0.152091

0.108999

0.038023

0

0.032403

0.300378

1,588

51

109

31.137255

0.677768

0.063602

0

0.005427

0

1

0.097561

false

0

0.04878

0.02439

0.243902

0.02439

0

null

0

null

0

1

0

c1019da9fdbebdeb2177f41e024ec8a2375bfc50

355

py

Python

corehq/motech/migrations/0002_requestlog_payload_id.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

471

2015-01-10T02:55:01.000Z

2022-03-29T18:07:18.000Z

corehq/motech/migrations/0002_requestlog_payload_id.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

14,354

2015-01-01T07:38:23.000Z

2022-03-31T20:55:14.000Z

corehq/motech/migrations/0002_requestlog_payload_id.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

175

2015-01-06T07:16:47.000Z

2022-03-29T13:27:01.000Z

from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('motech', '0001_initial'), ] operations = [ migrations.AddField( model_name='requestlog', name='payload_id', field=models.CharField(blank=True, max_length...

20.882353

74

0.588732

33

355

6.212121

0.818182

0

0.027888

0.292958

355

16

75

22.1875

0.788845

0

0.107042

0

1

0

false

0

0.083333

0

0.333333

0

null

0

null

0

1

0

c10256e1a56feb6756445ccac8a450d8e5c12102

754

py

Python

revibe/_errors/data.py

Revibe-Music/core-services

6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2

[ "MIT" ]

2

2022-01-24T23:30:18.000Z

2022-01-26T00:21:22.000Z

revibe/_errors/data.py

Revibe-Music/core-services

6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2

[ "MIT" ]

null

revibe/_errors/data.py

Revibe-Music/core-services

6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2

[ "MIT" ]

null

from . import base from revibe._helpers import const, status # ----------------------------------------------------------------------------- class ParameterMissingError(base.ExpectationFailedError): default_detail = "missing paramter, please check the docs for request requirements" class SerializerValidationErr...

31.416667

87

0.71618

72

754

7.416667

0.638889

0.121723

0.123596

0.146067

0

0.124668

754

23

88

32.782609

0.809091

0.102122

0

0.305185

0

1

0

false

0

0.166667

0

1

0

null

0

null

0

1

0

c1099cb2a2632c598917595fb2f7f6e6745f4161

3,885

py

Python

reddit_IG_FB.py

Wanatux/Reddit-to-FB-Page

9f70b4cff72aecc34bad047078d77b534a1abfb4

[ "MIT" ]

null

reddit_IG_FB.py

Wanatux/Reddit-to-FB-Page

9f70b4cff72aecc34bad047078d77b534a1abfb4

[ "MIT" ]

null

reddit_IG_FB.py

Wanatux/Reddit-to-FB-Page

9f70b4cff72aecc34bad047078d77b534a1abfb4

[ "MIT" ]

null

#Clean Code for Picture uploader for social media platform import praw import random import pandas as pd import config from openpyxl import load_workbook import requests import json #Reddit Creds r = praw.Reddit( client_id= "Enter Info Here", client_secret= "Enter Info Here", user_agent= "Enter Info Here",...

28.566176

97

0.605405

515

3,885

4.44466

0.337864

0.019659

0.010485

0.012232

0.14941

0.117955

0.098733

0.0699

0.041066

0

0.010623

0.273102

3,885

136

98

28.566176

0.799929

0.149807

0

0.242991

0

0.175038

0.028006

0

1

0.028037

false

0.028037

0.065421

0

0.102804

0.046729

0

null

0

null

0

1

0

c10de940ca61195f3abd45d17f60bcb7de5621f4

3,834

py

Python

uil/core/templatetags/transformat.py

UiL-OTS-labs/django-shared-core

702ca346f1be861108ec70ceed2ed3b99623f0a3

[ "Apache-2.0" ]

null

uil/core/templatetags/transformat.py

UiL-OTS-labs/django-shared-core

702ca346f1be861108ec70ceed2ed3b99623f0a3

[ "Apache-2.0" ]

13

2019-06-25T13:23:30.000Z

2022-02-10T07:00:39.000Z

uil/core/templatetags/transformat.py

UiL-OTS-labs/django-shared-core

702ca346f1be861108ec70ceed2ed3b99623f0a3

[ "Apache-2.0" ]

null

from django.template import Library, Node, TemplateSyntaxError, Variable, VariableDoesNotExist from django.template.base import render_value_in_context from django.utils.safestring import SafeData, mark_safe register = Library() class FormattedTranslateNode(Node): def __init__(self, filter_expression, noop, for...

36.865385

116

0.603286

408

3,834

5.568627

0.308824

0.06338

0.070423

0.050616

0.172535

0.104313

0.082746

0

0.003811

0.315597

3,834

103

117

37.223301

0.862043

0.092853

0

0.180723

0

0.086302

0

1

0.036145

false

0

0.036145

0

0.120482

0

null

0

null

0

1

0

c11bc2c07ea4c7d0324366918fff40bddd73b06c

1,585

py

Python

crawler/scrapy_ffxiv/spiders/gathering_spider.py

shengzhc/sc-ff14-scrapy

2d5b74980e47ec140a4b8d506079fcc94dde54a2

[ "MIT" ]

null

crawler/scrapy_ffxiv/spiders/gathering_spider.py

shengzhc/sc-ff14-scrapy

2d5b74980e47ec140a4b8d506079fcc94dde54a2

[ "MIT" ]

null

crawler/scrapy_ffxiv/spiders/gathering_spider.py

shengzhc/sc-ff14-scrapy

2d5b74980e47ec140a4b8d506079fcc94dde54a2

[ "MIT" ]

null

import scrapy from scrapy.spiders import CrawlSpider, Rule from scrapy.linkextractors import LinkExtractor from scrapy_ffxiv.items import FfxivGatheringNode """ Spider to gather info from `www.ffxiv-gathering.com` """ class GatheringSpider(CrawlSpider): name = 'ff14-gathering' allowed_domains = [ ...

35.222222

157

0.55142

170

1,585

5.088235

0.435294

0.072832

0.089017

0.046243

0.182659

0.099422

0

0.007712

0.263722

1,585

44

158

36.022727

0.733505

0

0.0625

0

0.294156

0.142482

0

1

0.0625

false

0

0.125

0

0.34375

0

null

0

null

0

1

0

c11c4e38953d87d8740e1177783eb8eb9e19cef3

927

py

Python

horizon/test_horizon-controller-node.py

cyberxml/testinfra-openstack-tests

8b57ff2901463deeaa4d58486bb6d14f65ba3d24

[ "MIT" ]

null

horizon/test_horizon-controller-node.py

cyberxml/testinfra-openstack-tests

8b57ff2901463deeaa4d58486bb6d14f65ba3d24

[ "MIT" ]

null

horizon/test_horizon-controller-node.py

cyberxml/testinfra-openstack-tests

8b57ff2901463deeaa4d58486bb6d14f65ba3d24

[ "MIT" ]

null

import pytest @pytest.mark.parametrize("name", [ ("openstack-dashboard"), ("httpd"), ("memcached"), ]) def test_packages(host, name): pkg = host.package(name) assert pkg.is_installed @pytest.mark.parametrize("name,port", [ ("httpd","80"), ("httpd-ssl","443"), ("memcached","11211"), ]) ...

25.054054

58

0.651564

113

927

5.19469

0.39823

0.068143

0.143101

0.085179

0

0.018182

0.169364

927

36

59

25.75

0.744156

0

0.125

0

0.192017

0

0.15625

1

0.125

false

0

0.03125

0

0.15625

0

null

0

null

0

1

0

c11f7822c5bd888ca47b611e77c261bcc7260743

15,956

py

Python

tests/annotator/test_structured_incident_annotator.py

langstok/EpiTator

721fdc444382a0493702ee5976c987954753f47a

[ "Apache-2.0" ]

40

2017-05-27T03:53:22.000Z

2021-08-07T16:33:58.000Z

tests/annotator/test_structured_incident_annotator.py

langstok/EpiTator

721fdc444382a0493702ee5976c987954753f47a

[ "Apache-2.0" ]

25

2017-07-17T14:33:24.000Z

2021-04-09T10:27:56.000Z

tests/annotator/test_structured_incident_annotator.py

langstok/EpiTator

721fdc444382a0493702ee5976c987954753f47a

[ "Apache-2.0" ]

9

2017-11-15T05:13:53.000Z

2021-08-07T16:33:59.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import import unittest from epitator.annotator import AnnoDoc from epitator.structured_incident_annotator import StructuredIncidentAnnotator import datetime # import logging # from .test_utils import with_log_level def remove_empty_props(d)...

32.169355

245

0.572324

1,947

15,956

4.619928

0.289676

0.045025

0.050695

0.024903

0.37532

0.319066

0.277043

0.252585

0.229016

0

0.107783

0.297004

15,956

495

246

32.234343

0.694125

0.072888

0

0.406484

0

0.049875

0.492893

0

0.00202

0.067332

1

0.044888

false

0.002494

0.012469

0.002494

0.062344

0

null

0

null

0

1

0

c1211c97bd0c2cd978848796f6323f97d81c815a

3,492

py

Python

fastseq/optimizer/fairseq/__init__.py

nttcs-ds/fastseq

f1338f1125612df318c9d1f030a8457397ed05a6

[ "MIT" ]

346

2020-11-28T14:25:21.000Z

2022-03-25T14:50:22.000Z

fastseq/optimizer/fairseq/__init__.py

nttcs-ds/fastseq

f1338f1125612df318c9d1f030a8457397ed05a6

[ "MIT" ]

22

2020-12-03T18:52:04.000Z

2022-02-26T05:19:14.000Z

fastseq/optimizer/fairseq/__init__.py

nttcs-ds/fastseq

f1338f1125612df318c9d1f030a8457397ed05a6

[ "MIT" ]

35

2020-11-30T21:37:45.000Z

2022-03-23T01:54:51.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT License. """ Automatically apply the optimizations if the supported versions of FairSeq are detected. """ import logging import sys from packaging import version from fastseq.config import FASTSEQ_VERSION, MAX_FAIRSEQ_VERSION, MIN_FAIRSEQ_VERSION from f...

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c123c8a1452dd7217130353820cbbb49ad40ee13

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py

Python

__main__.py

vmenezio/clippr

78d2d8e14090fcde3c43da1656afae25d7b1629e

[ "MIT" ]

1

2015-12-20T13:32:51.000Z

__main__.py

vmenezio/clippr

78d2d8e14090fcde3c43da1656afae25d7b1629e

[ "MIT" ]

null

__main__.py

vmenezio/clippr

78d2d8e14090fcde3c43da1656afae25d7b1629e

[ "MIT" ]

null

#! python3 # -*- coding: utf-8 -*- # [ clipper ] # # # # Hey, welcome to clipper! This is a small tool I # # have been building for personal use as a means # # to take, analyze and upload screenshots quickly. # # ...

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c124253bfbcd49e0f1812986a73b8ad635b8c1fb

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py

Python

core/setup.py

DiegoGH117/cellare

c0c68f6f53ee8f31999c3538c327ddca34ba6e94

[ "MIT" ]

null

core/setup.py

DiegoGH117/cellare

c0c68f6f53ee8f31999c3538c327ddca34ba6e94

[ "MIT" ]

null

core/setup.py

DiegoGH117/cellare

c0c68f6f53ee8f31999c3538c327ddca34ba6e94

[ "MIT" ]

null

from setuptools import setup with open('README.md', 'r') as f: long_description = f.read() setup( name = 'CellARE', version = '0.0.2', description = 'A cellular automaton based implementation to run SIR simulations', py_modules = ['cellare'], package_dir = {'':'src'}, classif...

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null

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null

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1

0

c1248143e6872a13760d0d34115b96fb5c387e21

12,008

py

Python

deploy-tools/auction-deploy/tests/test_cli.py

d3centr0z/trustlines-blockchain

b90cba6e4ca7a5194eadc35793cc0fad63d9c761

[ "MIT" ]

9

2019-02-28T06:24:08.000Z

2021-05-29T04:43:56.000Z

deploy-tools/auction-deploy/tests/test_cli.py

d3centr0z/trustlines-blockchain

b90cba6e4ca7a5194eadc35793cc0fad63d9c761

[ "MIT" ]

425

2019-04-02T08:07:27.000Z

2021-07-01T18:29:02.000Z

deploy-tools/auction-deploy/tests/test_cli.py

d3centr0z/trustlines-blockchain

b90cba6e4ca7a5194eadc35793cc0fad63d9c761

[ "MIT" ]

10

2019-02-25T08:40:24.000Z

2022-03-08T10:22:57.000Z

import csv import re import pytest from click.testing import CliRunner from deploy_tools.cli import test_json_rpc, test_provider from eth_tester.exceptions import TransactionFailed from eth_utils import to_checksum_address import auction_deploy.core from auction_deploy.cli import AuctionState, main from auction_deplo...

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c1257c741492e036061014a924bb9f56f773f5b1

10,555

py

Python

core/plugins/rabbitmq.py

dnegreira/hotsos

c88375d8700bf53faed4e5de55c34bd0bdc66187

[ "Apache-2.0" ]

null

core/plugins/rabbitmq.py

dnegreira/hotsos

c88375d8700bf53faed4e5de55c34bd0bdc66187

[ "Apache-2.0" ]

null

core/plugins/rabbitmq.py

dnegreira/hotsos

c88375d8700bf53faed4e5de55c34bd0bdc66187

[ "Apache-2.0" ]

null

import os from core.log import log from core.cli_helpers import CLIHelper from core.utils import mktemp_dump, sorted_dict from core.ycheck.events import YEventCheckerBase from core.searchtools import ( SearchDef, SequenceSearchDef, FileSearcher, ) from core import ( checks, plugintools, ) RMQ_SERV...

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null

0

null

0

1

0

c127d6465fa7c0671438fe8816025b96ec521c2a

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py

Python

src/mercs/core/Mercs.py

MattiasDC/mercs

466962e254c4f56f4a16a31b1a3d7bd893c8e23e

[ "MIT" ]

11

2020-01-28T16:15:53.000Z

2021-05-20T08:05:42.000Z

src/mercs/core/Mercs.py

MattiasDC/mercs

466962e254c4f56f4a16a31b1a3d7bd893c8e23e

[ "MIT" ]

null

src/mercs/core/Mercs.py

MattiasDC/mercs

466962e254c4f56f4a16a31b1a3d7bd893c8e23e

[ "MIT" ]

4

2020-02-06T09:02:28.000Z

2022-02-14T09:42:04.000Z

import itertools import warnings from inspect import signature from timeit import default_timer from sklearn.preprocessing import normalize import dask import numpy as np try: import shap except: msg = "SHAP not found, therefore using SHAP-values for feature importance not available." warnings.warn(msg) ...

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c12c2ac656b7260dfdb953a62cfeab4d5b386d09

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py

Python

src/ydata_quality/duplicates/engine.py

poga/ydata-quality

0cdda2774b05101c5f4f773b5e946f2a6544da09

[ "MIT" ]

242

2021-09-22T17:16:49.000Z

2022-03-30T10:26:25.000Z

src/ydata_quality/duplicates/engine.py

poga/ydata-quality

0cdda2774b05101c5f4f773b5e946f2a6544da09

[ "MIT" ]

13

2021-09-23T00:15:10.000Z

2022-02-04T16:33:42.000Z

src/ydata_quality/duplicates/engine.py

poga/ydata-quality

0cdda2774b05101c5f4f773b5e946f2a6544da09

[ "MIT" ]

21

2021-09-24T09:59:30.000Z

2022-03-16T02:48:11.000Z

""" Implementation of DuplicateChecker engine class to run duplicate records analysis. """ from typing import List, Optional, Union from pandas import DataFrame from src.ydata_quality.core.warnings import Priority from ..core import QualityEngine, QualityWarning from ..utils.auxiliary import find_duplicate_columns ...

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null

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null

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1

0

c12f7689727d68b07585dc735616888c343cb5e6

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py

Python

dataio/python/pprint.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

1

2020-12-24T22:00:01.000Z

dataio/python/pprint.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

null

dataio/python/pprint.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

3

2020-07-17T09:20:29.000Z

2021-03-30T16:44:18.000Z

import collections import re from icecube import icetray from icecube import dataclasses from icecube import dataio def format_line( frame, key, maxwidth = None, ellipsis = '...' ): '''Given an icecube frame and a key in that frame, return exactly one line of text describing the I3FrameObject with that key. ...

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null

0

null

0

1

0

c131857f7131f2f64a0c9cd301cbb4e69c3dcbec

9,619

py

Python

CryptoAttacks/Block/ecb.py

akbarszcz/CryptoAttacks

ae675d016b314414a3dc9b23c7d8a32da4c62457

[ "MIT" ]

54

2017-03-28T23:46:58.000Z

2022-02-23T01:53:38.000Z

CryptoAttacks/Block/ecb.py

maximmasiutin/CryptoAttacks

d1d47d3cb2ce38738a60b728bc35ce80bfe64374

[ "MIT" ]

null

CryptoAttacks/Block/ecb.py

maximmasiutin/CryptoAttacks

d1d47d3cb2ce38738a60b728bc35ce80bfe64374

[ "MIT" ]

13

2017-03-31T06:07:23.000Z

2021-11-20T19:01:30.000Z

from __future__ import absolute_import, division, print_function import string from builtins import bytes, range from CryptoAttacks.Math import factors from CryptoAttacks.Utils import (add_padding, b2h, chunks, log, print_chunks, random_bytes) def encryption_oracle(payload): """...

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null

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null

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1

0

c133b030e2d992d0cf7302a80fd9d38d5daf7e7c

973

py

Python

codes/convergence_elasticity_advection/bilinear.py

adRenaud/research

2f0062a1800d7a17577bbfc2393b084253d567f4

[ "MIT" ]

1

2021-06-18T14:52:03.000Z

codes/comparison/fem/bilinear.py

adRenaud/research

2f0062a1800d7a17577bbfc2393b084253d567f4

[ "MIT" ]

1

2019-01-07T13:11:11.000Z

codes/convergence_elasticity_advection/bilinear.py

adRenaud/research

2f0062a1800d7a17577bbfc2393b084253d567f4

[ "MIT" ]

null

#!/usr/bin/python import numpy as np def bilinear(x,u_n,u,EPn,Pn,E,Sigy,H): #initialization h = x[1:len(x)]-x[:(len(x)-1)] eps_n = (u_n[1:len(u_n)]-u_n[:(len(u_n)-1)])/h eps = (u[1:len(u)]-u[:(len(u)-1)])/h S = np.zeros(len(eps)) EP = np.zeros(len(eps)) P = np.zeros(len(eps)) TM = np...

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0.125

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null

0

null

0

1

0

c1365b2df1fdc2c37aa4c5a090e8a65cce8207d8

2,985

py

Python

enigma.py

danhab99/EnigmaPY

b7526c26ac98675e911a8d0dcaf1acfe6d2659fb

[ "MIT" ]

null

enigma.py

danhab99/EnigmaPY

b7526c26ac98675e911a8d0dcaf1acfe6d2659fb

[ "MIT" ]

null

enigma.py

danhab99/EnigmaPY

b7526c26ac98675e911a8d0dcaf1acfe6d2659fb

[ "MIT" ]

null

import create from lib import Machine from lib import Transformer import argparse import pickle from itertools import chain from random import shuffle parser = argparse.ArgumentParser(description='A simulation of the enigma encryption algorithm', prog='enigma.py') subparsers = parser.add_subparsers(help='Which comman...

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0

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0

null

0

null

0

1

0

c13af56264e5c19bd63a5cb098d1273308f7f27f

5,962

py

Python

tests/sdk/test_client_response.py

AitoDotAI/aito-python-tools

891d433222b04f4ff8a4eeafbb9268516fd215dc

[ "MIT" ]

6

2019-10-16T02:35:06.000Z

2021-02-03T13:39:43.000Z

tests/sdk/test_client_response.py

AitoDotAI/aito-python-tools

891d433222b04f4ff8a4eeafbb9268516fd215dc

[ "MIT" ]

23

2020-03-17T13:16:02.000Z

2021-04-23T15:09:51.000Z

tests/sdk/test_client_response.py

AitoDotAI/aito-python-tools

891d433222b04f4ff8a4eeafbb9268516fd215dc

[ "MIT" ]

null

import requests from parameterized import parameterized, parameterized_class import aito.client.requests as aito_requests import aito.schema as aito_schema from aito.client import AitoClient from tests.cases import CompareTestCase from tests.sdk.contexts import grocery_demo_client def get_requests_resp_and_aito_resp...

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null

0

null

0

1

0

c13d31a85ce3ce0b7615b9c5e782008402d5a721

9,292

py

Python

lib/worker.py

GuoxiaWang/InstanceLabelTool

ece37a0dfe1467ad24d6d3472adb50b20b6abd24

[ "MIT" ]

6

2018-10-28T07:43:34.000Z

2021-04-11T15:15:14.000Z

lib/worker.py

GuoxiaWang/InstanceLabelTool

ece37a0dfe1467ad24d6d3472adb50b20b6abd24

[ "MIT" ]

2

2019-03-13T15:16:57.000Z

2019-04-15T02:35:46.000Z

lib/worker.py

GuoxiaWang/InstanceLabelTool

ece37a0dfe1467ad24d6d3472adb50b20b6abd24

[ "MIT" ]

1

2020-01-16T10:23:36.000Z

""" Copyright (c) 2018- Guoxia Wang mingzilaochongtu at gmail 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 restriction, subject to the following conditions: The above cop...

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null

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null

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c142870cdc5b68b605e9ca3cb9dda2dd39df1fad

674

py

Python

fastquotes/index/csi.py

YangzhenZhao/fastquotes

1faba9f7fc7801a11359001e08cefa9cfbc41d64

[ "MIT" ]

4

2020-11-18T11:25:00.000Z

2021-04-08T01:02:49.000Z

fastquotes/index/csi.py

YangzhenZhao/fastquotes

1faba9f7fc7801a11359001e08cefa9cfbc41d64

[ "MIT" ]

null

fastquotes/index/csi.py

YangzhenZhao/fastquotes

1faba9f7fc7801a11359001e08cefa9cfbc41d64

[ "MIT" ]

1

2020-11-18T11:25:01.000Z

import codecs import json import requests from ..const import CUSTOM_HEADER def latest_year_data(code: str, latest_year: int) -> list: """ lastest_year: 1、3、5 """ url = ( f"http://www.csindex.com.cn/zh-CN/indices/index-detail/{code}?" f"earnings_performance={latest_year}%E5%B9%B4&dat...

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0

0.3

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null

0

null

0

1

0

c144dd7ed4502a22ce0fcfc2f712cd5108d540e6

5,160

py

Python

substrabac/substrapp/utils.py

GuillaumeCisco/substra-backend

777ec0cfc10a1aad34cccba449e4923c20786d32

[ "Apache-2.0" ]

null

substrabac/substrapp/utils.py

GuillaumeCisco/substra-backend

777ec0cfc10a1aad34cccba449e4923c20786d32

[ "Apache-2.0" ]

null

substrabac/substrapp/utils.py

GuillaumeCisco/substra-backend

777ec0cfc10a1aad34cccba449e4923c20786d32

[ "Apache-2.0" ]

null

import io import hashlib import logging import os import tempfile from os import path from os.path import isfile, isdir import shutil import requests import tarfile import zipfile import uuid from checksumdir import dirhash from django.conf import settings from rest_framework import status class JsonException(Exce...

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0

null

0

null

0

1

0

c1484f680c8d5268a7187ffd0cd5d37747e57a92

1,569

py

Python

Algorithms/Assign1/v2.py

thebishaldeb/ClassAssignments

f44c51695266da0c98d1ab3516c473c6d1008933

[ "MIT" ]

null

Algorithms/Assign1/v2.py

thebishaldeb/ClassAssignments

f44c51695266da0c98d1ab3516c473c6d1008933

[ "MIT" ]

null

Algorithms/Assign1/v2.py

thebishaldeb/ClassAssignments

f44c51695266da0c98d1ab3516c473c6d1008933

[ "MIT" ]

null

# FUNCTION def med(arr1, arr2, length): if length == 2: return findMed( arr1, arr2) mid = int((length-1)/2) if (arr1[mid] < arr2[mid]): return med( arr2[0:mid+1], arr1[-mid-1:length], len(arr2[0:mid+1])) elif (arr1[mid] > arr2[mid]): return med( arr1[0:mid+1], ar...

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null

0

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c1486548c7b778a225198dc3750c6bc512122e6c

4,025

py

Python

brain-imaging/run_tsne_brain.py

agramfort/spatio-temporal-alignements

18594cf0372dc874decccecad69e310f84142c88

[ "BSD-3-Clause" ]

28

2019-10-18T07:29:52.000Z

2022-01-27T15:12:45.000Z

brain-imaging/run_tsne_brain.py

agramfort/spatio-temporal-alignements

18594cf0372dc874decccecad69e310f84142c88

[ "BSD-3-Clause" ]

2

2021-01-16T18:34:31.000Z

2022-02-03T14:49:34.000Z

brain-imaging/run_tsne_brain.py

agramfort/spatio-temporal-alignements

18594cf0372dc874decccecad69e310f84142c88

[ "BSD-3-Clause" ]

4

2021-01-16T17:22:23.000Z

2022-01-11T03:24:24.000Z

import mne import pickle import numpy as np from sta import sta_matrix, sdtw_matrix from sklearn.manifold import TSNE # change this if you have GPUs # in our platform, this experiment ran on 4 GPUs in around 20 minutes n_gpu_devices = 0 def generate_samples(n_samples, n_times, time_point, space_points, M, ...

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null

0

1

0

c14f824a0678ada5998332bc22d1955b5b7acece

19,547

py

Python

src/muscle_synergies/vicon_data/user_data.py

elvis-sik/muscle_synergies

eff0d016f2032faa9b8fba5363249e6fdb150abf

[ "MIT" ]

6

2021-02-05T21:53:08.000Z

2022-01-20T16:50:39.000Z

src/muscle_synergies/vicon_data/user_data.py

elvis-sik/muscle_synergies

eff0d016f2032faa9b8fba5363249e6fdb150abf

[ "MIT" ]

1

2021-02-06T14:14:52.000Z

2021-03-01T03:44:23.000Z

src/muscle_synergies/vicon_data/user_data.py

elvis-sik/muscle_synergies

eff0d016f2032faa9b8fba5363249e6fdb150abf

[ "MIT" ]

null

"""Types that help building the final representation of the data. From the point of view of the internal API, the main type in this module is :py:class:`Builder`, which uses the data stored in an :py:class:`~muscle_synergies.vicon_data.aggregator.Aggregator` to build the :py:class:`ViconNexusData`. That object, in tur...

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null

0

null

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1

0

c1530d1f98179c78b07bae3b02ff2a685a89878e

1,629

py

Python

tests/modification-check.py

luisriverag/certbot

52e207a404ab3600637fc7a24492e2c68512ce2d

[ "Apache-2.0" ]

1

2017-05-14T17:09:38.000Z

tests/modification-check.py

luisriverag/certbot

52e207a404ab3600637fc7a24492e2c68512ce2d

[ "Apache-2.0" ]

5

2021-03-15T21:43:04.000Z

2021-07-22T20:31:43.000Z

tests/modification-check.py

luisriverag/certbot

52e207a404ab3600637fc7a24492e2c68512ce2d

[ "Apache-2.0" ]

null

#!/usr/bin/env python """Ensures there have been no changes to important certbot-auto files.""" import hashlib import os # Relative to the root of the Certbot repo, these files are expected to exist # and have the SHA-256 hashes contained in this dictionary. These hashes were # taken from our v1.14.0 tag which was t...

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null

0

null

0

1

0

c153b504e55b04acb0b49c1e4ecd7223c00968b8

560

py

Python

tests/test_load.py

michaelpeterswa/qsml

e3aeb48ac8ba7bb3eca7ec866f6d75258cfdc7c2

[ "MIT" ]

7

2020-06-28T16:28:54.000Z

2020-09-18T13:18:55.000Z

tests/test_load.py

michaelpeterswa/qsml

e3aeb48ac8ba7bb3eca7ec866f6d75258cfdc7c2

[ "MIT" ]

1

2020-06-27T08:36:02.000Z

2020-06-28T23:30:03.000Z

tests/test_load.py

michaelpeterswa/qsml

e3aeb48ac8ba7bb3eca7ec866f6d75258cfdc7c2

[ "MIT" ]

1

2020-07-30T05:03:38.000Z

import unittest import qsml class TestLoad(unittest.TestCase): def test_load(self): file = "tests/load.qsml" returned_val = { "myportfolio": {"GOOG": 10, "AAPL": 5, "BRK.B": 1}, "test": {"SNAP": 130, "MSFT": 5, "TSLA": 100}, } self.assertEqual(qsml.load(file...

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0

null

0

1

0

c153e1c37eaaf1da2ce812283ce1bb7f91f0f0b1

6,012

py

Python

votesim/utilities/decorators.py

johnh865/election_sim

b73b7e65f1bb22abb82cbe8442fcf02b0c20894e

[ "MIT" ]

8

2019-10-21T23:24:51.000Z

2021-09-14T03:04:59.000Z

votesim/utilities/decorators.py

johnh865/election_sim

b73b7e65f1bb22abb82cbe8442fcf02b0c20894e

[ "MIT" ]

2

2021-02-09T23:52:47.000Z

2021-02-10T04:08:35.000Z

votesim/utilities/decorators.py

johnh865/election_sim

b73b7e65f1bb22abb82cbe8442fcf02b0c20894e

[ "MIT" ]

1

2019-10-21T23:32:18.000Z

""" Collection of utilities such as memoization, automatic property storage, etc """ from __future__ import print_function, absolute_import, division from functools import wraps, partial import logging from votesim.utilities import misc logger = logging.getLogger(__name__) class memoize: """ Decor...

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null

0

1

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c15402f1ab58bd4a60c7b4bb3dddbb75ea0cbef9

10,304

py

Python

portcran.py

yzgyyang/portcran

04fa6ce8cd8585ed96aab19177d030b030ff79c9

[ "BSD-2-Clause" ]

1

2021-07-15T04:35:08.000Z

portcran.py

yzgyyang/portcran

04fa6ce8cd8585ed96aab19177d030b030ff79c9

[ "BSD-2-Clause" ]

null

portcran.py

yzgyyang/portcran

04fa6ce8cd8585ed96aab19177d030b030ff79c9

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python3 from argparse import ArgumentParser, Namespace from pathlib import Path from re import search from sys import argv from typing import Callable, Iterable, List, Optional, TextIO, Tuple from urllib.request import urlopen, urlretrieve from ports import Platform, PortError, PortLicense, Ports from po...

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null

0

null

0

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c155e8b957ea1abd8dd89360b9558b67dc020499

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py

Python

src/gluonts/nursery/torch_arsgls_rbpf/test/basic_tests/conv.py

richardk53/gluon-ts

5bde492198c0348b550ac6f7269f1740a699ec30

[ "Apache-2.0" ]

null

src/gluonts/nursery/torch_arsgls_rbpf/test/basic_tests/conv.py

richardk53/gluon-ts

5bde492198c0348b550ac6f7269f1740a699ec30

[ "Apache-2.0" ]

null

src/gluonts/nursery/torch_arsgls_rbpf/test/basic_tests/conv.py

richardk53/gluon-ts

5bde492198c0348b550ac6f7269f1740a699ec30

[ "Apache-2.0" ]

null

import torch from torch import nn from utils.utils import compute_conv_output_img_dims def test_compute_conv_dims_out(): for width_img in [63, 64, 65, 66]: dims_img = (width_img, width_img) inp = torch.randn((10, 1,) + dims_img) for padding in [0, 1, 2]: for dilation in [1, 2,...

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null

0

null

0

1

0

c1561171d3885a4dc3c76906c27aa5632df77a77

589

py

Python

OOP/deep_dive_tkinter/many_widget_example.py

Amaranese/python-exercises-notes-solutions-projects

58f7677ecb97971733d9f4ff87fda75e23d7c0cb

[ "Unlicense" ]

1

2021-12-03T12:38:33.000Z

OOP/deep_dive_tkinter/many_widget_example.py

Amaranese/python-exercises-notes-solutions-projects

58f7677ecb97971733d9f4ff87fda75e23d7c0cb

[ "Unlicense" ]

null

OOP/deep_dive_tkinter/many_widget_example.py

Amaranese/python-exercises-notes-solutions-projects

58f7677ecb97971733d9f4ff87fda75e23d7c0cb

[ "Unlicense" ]

null

import tkinter as tk parent = tk.Tk() # tk.WidgetName(parent_frame, options) tk.Entry(parent, width=25).pack() tk.Button(parent, text="LOOKOUT!").pack() tk.Checkbutton(parent, text='RememberMe', variable=tk.IntVar()).pack() tk.Label(parent, text="What's Your Name?").pack() tk.OptionMenu(parent, tk.IntVar(), "Select ...

32.722222

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0

0.090909

0

null

0

null

0

1

0

c156565f017d48828a6c04509f6eaa61d605a332

432

py

Python

hardhat/recipes/x11/driver/xf86-video-nouveau.py

stangelandcl/hardhat

1ad0c5dec16728c0243023acb9594f435ef18f9c

[ "MIT" ]

null

hardhat/recipes/x11/driver/xf86-video-nouveau.py

stangelandcl/hardhat

1ad0c5dec16728c0243023acb9594f435ef18f9c

[ "MIT" ]

null

hardhat/recipes/x11/driver/xf86-video-nouveau.py

stangelandcl/hardhat

1ad0c5dec16728c0243023acb9594f435ef18f9c

[ "MIT" ]

null

from ..base import X11DriverBaseRecipe class Xf86VideoNouveauRecipe(X11DriverBaseRecipe): def __init__(self, *args, **kwargs): super(Xf86VideoNouveauRecipe, self).__init__(*args, **kwargs) self.sha256 = '6d9242ba139c3df7afefffb455573b52' \ 'f4427920b978161c00483c64a6da47cb' ...

33.230769

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0.664352

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7.75

0.722222

0.071685

0

0.172619

0.222222

432

12

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0

0.229167

0.148148

0

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0

0.111111

0

0.333333

0

null

0

null

0

1

0

c1588d562ae990566fc09dd0f8d1a7453c6a6f20

3,563

py

Python

fem_dsa/networks/autoencoders.py

idealab-isu/DSA

b9157eb9307c0ff06d91ff2bdcd8f70df5b896cb

[ "BSD-3-Clause" ]

3

2022-01-18T01:33:34.000Z

2022-03-22T20:46:16.000Z

DiffNet/networks/autoencoders.py

adityabalu/DiffNet

a21e024ad9948fa76fe73796e216a0a6601f2c7c

[ "MIT" ]

1

2022-03-30T10:16:47.000Z

DiffNet/networks/autoencoders.py

adityabalu/DiffNet

a21e024ad9948fa76fe73796e216a0a6601f2c7c

[ "MIT" ]

2

2021-12-01T20:53:24.000Z

2021-12-02T06:42:39.000Z

import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable class Encoder(nn.Module): def __init__(self, in_channels=3, dim=64, n_downsample=3, encoder_type='convolutional'): super(Encoder, self).__init__() # Initial convolution block layers = [ ...

33.299065

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0.738372

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false

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0.013158

0

null

0

null

0

1

0

c1598a3545cd8dc90345c280e6f51a6897b9912a

2,215

py

Python

week02/03.MoreTesting/fractions/tests_collect_fractions.py

TsvetomirTsvetkov/Python-Course-101

1c5ea4631128c22effe3c4ee5a18c43f5e79d463

[ "MIT" ]

null

week02/03.MoreTesting/fractions/tests_collect_fractions.py

TsvetomirTsvetkov/Python-Course-101

1c5ea4631128c22effe3c4ee5a18c43f5e79d463

[ "MIT" ]

null

week02/03.MoreTesting/fractions/tests_collect_fractions.py

TsvetomirTsvetkov/Python-Course-101

1c5ea4631128c22effe3c4ee5a18c43f5e79d463

[ "MIT" ]

null

# tests_collect_fractions.py import unittest from collect_fractions import ( validate_input_collect, lcm, collect_fractions ) class TestValidateInputCollect(unittest.TestCase): def test_validation_passes_with_correct_input(self): fractions = [(1, 3), (4, 5)] validate_input_collect(fractions) def test_vali...

25.170455

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2,215

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0

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0

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null

0

null

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0

c159e41ff48b6f66e8bdd24ff1ed589656d0c172

3,278

py

Python

exporter/management/commands/exporter.py

open-contracting/data-registry

5a73e7f2334c6af5be23070493842b494b3e5357

[ "BSD-3-Clause" ]

null

exporter/management/commands/exporter.py

open-contracting/data-registry

5a73e7f2334c6af5be23070493842b494b3e5357

[ "BSD-3-Clause" ]

170

2021-02-12T12:52:37.000Z

2022-03-28T14:37:05.000Z

exporter/management/commands/exporter.py

open-contracting/data-registry

5a73e7f2334c6af5be23070493842b494b3e5357

[ "BSD-3-Clause" ]

null

import gzip import logging import shutil from django.conf import settings from django.core.management.base import BaseCommand from django.db import connections from yapw.methods.blocking import ack from exporter.util import Export, create_client logger = logging.getLogger(__name__) class Command(BaseCommand): ...

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0.174603

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null

0

null

0

1

0

c160f505df5dab1a29a92764a36839b1cc74f021

3,357

py

Python

test_triplegan.py

AmirHosseinAmeli/Triple-GAN

127948d9e22767d315a4b3ca58fc4a56d92ff9d3

[ "MIT" ]

29

2020-09-03T08:35:47.000Z

2022-02-10T18:39:29.000Z

test_triplegan.py

AmirHosseinAmeli/Triple-GAN

127948d9e22767d315a4b3ca58fc4a56d92ff9d3

[ "MIT" ]

6

2020-12-22T14:43:14.000Z

2022-03-12T00:55:24.000Z

test_triplegan.py

AmirHosseinAmeli/Triple-GAN

127948d9e22767d315a4b3ca58fc4a56d92ff9d3

[ "MIT" ]

8

2020-10-01T04:03:40.000Z

2022-03-21T10:23:40.000Z

import copy import os import pickle import torch import torch.nn as nn import numpy as np from library import inputs, eval_inception_score from Utils.checkpoints import save_context, Logger from Utils import flags from Utils import config import Torture FLAGS = flags.FLAGS KEY_ARGUMENTS = config.load_config(FLAGS.c...

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0

null

0

null

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0

c164aad97b718794ec2487936b78ec7212cf88c1

1,523

py

Python

Library/operations.py

marcelodaher/ArraySim

f42db96e30acff6f3ce3829dc89a79ef5473b4db

[ "MIT" ]

1

2019-12-06T16:48:10.000Z

Library/operations.py

marcelodaher/ArraySim

f42db96e30acff6f3ce3829dc89a79ef5473b4db

[ "MIT" ]

null

Library/operations.py

marcelodaher/ArraySim

f42db96e30acff6f3ce3829dc89a79ef5473b4db

[ "MIT" ]

null

# coding=utf-8 import numpy as np def colKRproduct(A,B): ''' columnwise Khatri-Rao product between matrix A and B ''' if A.shape[1] != B.shape[1]: raise TypeError("A and B must have the same number of columns") q = A.shape[1] C = np.zeros([A.shape[0]*B.shape[0],q]) for ...

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1

0

c1653d9ca159307ad4091c89f53debf9a3453ffc

1,337

py

Python

gtsfm/runner/run_scene_optimizer_olssonloader.py

swershrimpy/gtsfm

8d301eb3ef9172345a1ac1369fd4e19764d28946

[ "Apache-2.0" ]

122

2021-02-07T23:01:58.000Z

2022-03-30T13:10:35.000Z

gtsfm/runner/run_scene_optimizer_olssonloader.py

swershrimpy/gtsfm

8d301eb3ef9172345a1ac1369fd4e19764d28946

[ "Apache-2.0" ]

273

2021-01-30T16:45:26.000Z

2022-03-16T15:02:33.000Z

gtsfm/runner/run_scene_optimizer_olssonloader.py

swershrimpy/gtsfm

8d301eb3ef9172345a1ac1369fd4e19764d28946

[ "Apache-2.0" ]

13

2021-03-12T03:01:27.000Z

2022-03-11T03:16:54.000Z

import argparse import os from pathlib import Path import gtsfm.utils.logger as logger_utils from gtsfm.loader.loader_base import LoaderBase from gtsfm.loader.olsson_loader import OlssonLoader from gtsfm.runner.gtsfm_runner_base import GtsfmRunnerBase DATA_ROOT = Path(__file__).resolve().parent.parent.parent / "test...

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null

0

null

0

1

0

c165a6d6b497f214d3ee7b9ab319db0cb8d9588f

384

py

Python

src/reverse/setup.py

fugue/zim-example

861b197ddc1074375bb9437b3282ab3e517b9019

[ "MIT" ]

null

src/reverse/setup.py

fugue/zim-example

861b197ddc1074375bb9437b3282ab3e517b9019

[ "MIT" ]

null

src/reverse/setup.py

fugue/zim-example

861b197ddc1074375bb9437b3282ab3e517b9019

[ "MIT" ]

2

2021-03-17T03:02:52.000Z

2021-07-21T23:31:08.000Z

import os.path from setuptools import setup, find_packages with open(os.path.join(os.path.dirname(__file__), "requirements.txt")) as f: requirements = f.read().strip() setup( name="reverse", version="0.0.0", description="Reverse data", packages=find_packages(exclude=["tests"]), package_data={"...

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0.166667

0

null

0

null

0

1

0

c165ec6055b3d0599812a0a06fa513f8948722c9

3,204

py

Python

tutorial_metarl/tasks/CompositionalTwoArmedBandit.py

akjagadish/tutorial-metarl

8810eafa783749c70a0575e805810a098b3df0fb

[ "MIT" ]

null

tutorial_metarl/tasks/CompositionalTwoArmedBandit.py

akjagadish/tutorial-metarl

8810eafa783749c70a0575e805810a098b3df0fb

[ "MIT" ]

null

tutorial_metarl/tasks/CompositionalTwoArmedBandit.py

akjagadish/tutorial-metarl

8810eafa783749c70a0575e805810a098b3df0fb

[ "MIT" ]

null

import torch import numpy as np import math class CompositionalTwoArmedBandit(): def __init__(self, probs, ctx_dim, num_arms, num_ctx=400, max_ctx=1000): self.probs = np.asarray(probs) self.num_arms = num_arms self.ctx_dim = ctx_dim self.num_ctx = num_ctx self.m...

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0.026151

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0.084728

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0

0.051724

0

0.224138

0

null

0

null

0

1

0

c16896197cec1995065f5c34607ce687f11e89f6

2,916

py

Python

scripts/example.py

alexboden/nba-who-has-more

590ba8bd062b96ff866c13988eb79a8c7ff0f488

[ "MIT" ]

null

scripts/example.py

alexboden/nba-who-has-more

590ba8bd062b96ff866c13988eb79a8c7ff0f488

[ "MIT" ]

null

scripts/example.py

alexboden/nba-who-has-more

590ba8bd062b96ff866c13988eb79a8c7ff0f488

[ "MIT" ]

null

from nba_api.stats.static import players from nba_api.stats import endpoints from nba_api.stats.library.parameters import SeasonAll from nba_api.stats.endpoints import playercareerstats from nba_api.stats.endpoints import commonplayerinfo from nba_api.stats.endpoints import playergamelog import pandas as pd import tim...

25.80531

126

0.718793

410

2,916

4.834146

0.243902

0.056509

0.030272

0.045409

0.284057

0.254289

0.083754

0.058527

0

0.023304

0.175926

2,916

113

127

25.80531

0.801498

0.20439

0

0.070175

0

0.054569

0.009095

0

1

0.052632

false

0

0.175439

0

0.280702

0.087719

0

null

0

null

0

1

0

c168f756bc02752d155d2b864b3e1da8b5fa59b8

2,653

py

Python

data/Process_MIR1k.py

carrieeeeewithfivee/tf2_Vocal_Separation_UNet

5dbb6838bee0d8fbf0f73fa83e8c3d6c1978c67c

[ "MIT" ]

null

data/Process_MIR1k.py

carrieeeeewithfivee/tf2_Vocal_Separation_UNet

5dbb6838bee0d8fbf0f73fa83e8c3d6c1978c67c

[ "MIT" ]

1

2022-01-02T06:54:27.000Z

2022-01-02T12:09:13.000Z

data/Process_MIR1k.py

carrieeeeewithfivee/tf2_Vocal_Separation_UNet

5dbb6838bee0d8fbf0f73fa83e8c3d6c1978c67c

[ "MIT" ]

null

import os from librosa.core import load, stft, istft, magphase from librosa.output import write_wav from concurrent.futures import ThreadPoolExecutor from time import time import asyncio import os,glob import numpy as np from multiprocessing import cpu_count #Thanks to https://github.com/jnzhng/keras-unet-vocal-separat...

35.851351

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2,653

4.276923

0.328205

0.026978

0.021583

0.043165

0.196043

0.113909

0.056355

0

0.016053

0.201659

2,653

74

108

35.851351

0.771483

0.115718

0

0.070175

0

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0

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false

0

0.157895

0

0.22807

0.052632

0

null

0

null

0

1

0

c1693dff2b16a43c1fe7913423163831050a96a1

3,195

py

Python

utils/utils.py

bo-miao/anomaly_classification

08829b3cdc488c6c7867f02950b5e22b6a5d5435

[ "Apache-2.0" ]

null

utils/utils.py

bo-miao/anomaly_classification

08829b3cdc488c6c7867f02950b5e22b6a5d5435

[ "Apache-2.0" ]

null

utils/utils.py

bo-miao/anomaly_classification

08829b3cdc488c6c7867f02950b5e22b6a5d5435

[ "Apache-2.0" ]

null

from utils import lr_scheduler, metric, prefetch, summary import os, sys import time import numpy as np from collections import OrderedDict import glob import math import copy import tqdm from sklearn.metrics import roc_auc_score, roc_curve, auc import matplotlib.pyplot as plt from torch.cuda.amp import autocast impor...

30.428571

103

0.638498

459

3,195

4.359477

0.363834

0.01999

0.010995

0.013993

0.209895

0.193903

0.176912

0.14093

0

0.02806

0.23036

3,195

104

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0.785685

0.008451

0

0.144578

0

0.047438

0

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1

0.060241

false

0

0.253012

0

0.385542

0.048193

0

null

0

null

0

1

0

c169f12d80ecf64a50d7329d9a77f916c0b26871

1,960

py

Python

src/kpi_WV_hs/.ipynb_checkpoints/compute_kpi_1d_v2_prun-checkpoint.py

tlechauveCLS/kpi_mpc

4dc61d210c2b97e6ac240e54a8d96c35cf9123de

[ "MIT" ]

null

src/kpi_WV_hs/.ipynb_checkpoints/compute_kpi_1d_v2_prun-checkpoint.py

tlechauveCLS/kpi_mpc

4dc61d210c2b97e6ac240e54a8d96c35cf9123de

[ "MIT" ]

null

src/kpi_WV_hs/.ipynb_checkpoints/compute_kpi_1d_v2_prun-checkpoint.py

tlechauveCLS/kpi_mpc

4dc61d210c2b97e6ac240e54a8d96c35cf9123de

[ "MIT" ]

1

2022-03-23T07:48:27.000Z

#!/home1/datawork/agrouaze/conda_envs2/envs/py2.7_cwave/bin/python # coding: utf-8 """ """ import sys print(sys.executable) import subprocess import logging from dateutil import rrule import datetime if __name__ == '__main__': root = logging.getLogger () if root.handlers: for handler in root.handlers: ...

40

102

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269

1,960

4.468401

0.513011

0.054908

0.03827

0.049917

0.076539

0

0.021484

0.216327

1,960

49

103

40

0.761068

0.101531

0

0.046512

0

0.251572

0.070898

0

1

0

false

0

0.139535

0

0.139535

0.023256

0

null

0

null

0

1

0

c16a520b3532e245375dff9d61f50950a6a91c7f

20,482

py

Python

pysrc/simulserver.py

juliusbierk/simultant

9d454b58797399f60812c4d8c482a57e82b5dba7

[ "MIT" ]

null

pysrc/simulserver.py

juliusbierk/simultant

9d454b58797399f60812c4d8c482a57e82b5dba7

[ "MIT" ]

null

pysrc/simulserver.py

juliusbierk/simultant

9d454b58797399f60812c4d8c482a57e82b5dba7

[ "MIT" ]

null

import asyncio import concurrent import functools import json import numpy as np import torch from aiohttp import web from aiohttp.web_runner import GracefulExit import aiohttp_cors import logging import csv import multiprocessing import queue import pickle # Local imports: from torchfcts import function_from_code, get...

33.412724

117

0.553803

2,573

20,482

4.223475

0.139915

0.019049

0.027514

0.044446

0.434435

0.374804

0.341401

0.298702

0.272936

0.246066

0

0.013218

0.309296

20,482

612

118

33.46732

0.75493

0.043257

0

0.383772

0

0.113757

0.002709

0

1

0.013158

false

0.004386

0.037281

0

0.116228

0.015351

0

null

0

null

0

1

0

c16b54a8fb917e5a067468f0c78cd337a4b77c6b

4,312

py

Python

streak/api_get.py

srevinsaju/streak

ff21f39b06da3010568940d335c32bd7d357ca69

[ "MIT" ]

2

2022-03-07T20:18:46.000Z

2022-03-08T12:48:04.000Z

streak/api_get.py

srevinsaju/streak

ff21f39b06da3010568940d335c32bd7d357ca69

[ "MIT" ]

null

streak/api_get.py

srevinsaju/streak

ff21f39b06da3010568940d335c32bd7d357ca69

[ "MIT" ]

null

from flask import jsonify, make_response, request from . import app from .api_post import engine, login from .core import utility_funcs from sqlalchemy.orm import sessionmaker from sqlalchemy_cockroachdb import run_transaction from .api_post import login_required @app.route("/api/v1/tasks/list") @login_required def l...

28

87

0.661874

541

4,312

5.007394

0.147874

0.073828

0.040605

0.047988

0.598007

0.558509

0.512366

0.472868

0.433001

0.365449

0

0.003854

0.217764

4,312

153

88

28.183007

0.799288

0

0.419355

0

0.12013

0.049165

0

1

0.08871

false

0

0.056452

0.008065

0.241935

0.008065

0

null

0

null

0

1

0

c16c66d300e2ec1188a948c8172e2c9116bd68b9

2,831

py

Python

octopus/modules/account/dao.py

tuub/magnificent-octopus

62722fbb9eecd0f6727b4d9cc0ef3b732b4702d9

[ "Apache-2.0" ]

null

octopus/modules/account/dao.py

tuub/magnificent-octopus

62722fbb9eecd0f6727b4d9cc0ef3b732b4702d9

[ "Apache-2.0" ]

null

octopus/modules/account/dao.py

tuub/magnificent-octopus

62722fbb9eecd0f6727b4d9cc0ef3b732b4702d9

[ "Apache-2.0" ]

2

2019-12-17T14:55:17.000Z

2020-02-03T12:35:24.000Z

from octopus.modules.es import dao from datetime import datetime from octopus.modules.account.exceptions import NonUniqueAccountException def query_filter(q): """Function used by the query endpoint to ensure only the relevant account data is returned""" # q is an esprit.models.Query object # this limits t...

36.766234

139

0.620276

359

2,831

4.749304

0.270195

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0.018768

0.032845

0.380059

0.342522

0.296774

0.277419

0

0.004373

0.273048

2,831

77

140

36.766234

0.824101

0.096079

0

0.327869

0

0.13127

0.008621

0

1

0.098361

false

0

0.04918

0

0.344262

0

null

0

null

0

1

0