xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

a0d646ba03a4465fe2514a5e2b0f73386fb45c4c

2,321

py

Python

app/api/V1/views/products.py

Paulvitalis200/Store-Manager-API

d61e91bff7fc242da2a93d1caf1012465c7c904a

[ "MIT" ]

null

app/api/V1/views/products.py

Paulvitalis200/Store-Manager-API

d61e91bff7fc242da2a93d1caf1012465c7c904a

[ "MIT" ]

4

2018-10-21T18:28:03.000Z

2018-10-24T12:48:24.000Z

app/api/V1/views/products.py

Paulstar200/Store-Manager-API

d61e91bff7fc242da2a93d1caf1012465c7c904a

[ "MIT" ]

null

from flask import Flask, request from flask_restful import Resource, reqparse from flask_jwt_extended import create_access_token, jwt_required from app.api.V1.models import Product, products class PostProduct(Resource): parser = reqparse.RequestParser() parser.add_argument('name', required=True, help='Produc...

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py

Python

51-100/p87.py

YiWeiShen/Project-Euler-Hints

a79cacab075dd98d393516f083aaa7ffc6115a06

[ "MIT" ]

1

2019-02-25T13:00:31.000Z

51-100/p87.py

YiWeiShen/Project-Euler-Hints

a79cacab075dd98d393516f083aaa7ffc6115a06

[ "MIT" ]

null

51-100/p87.py

YiWeiShen/Project-Euler-Hints

a79cacab075dd98d393516f083aaa7ffc6115a06

[ "MIT" ]

null

import time from multiprocessing.pool import Pool def is_prime(num): for i in range(2, int(num**0.5+1)): if num % i == 0: return None return num if __name__ == '__main__': t = time.time() p1 = Pool(processes=30) p2 = Pool(processes=30) p3 = Pool(processes=30) num1 = r...

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a0d6b47a07ed18120ebb9b10352d658a22a11ecb

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py

Python

Clean Word/index.py

Sudani-Coder/python

9c35f04a0521789ba91b7058695139ed074f7796

[ "MIT" ]

null

Clean Word/index.py

Sudani-Coder/python

9c35f04a0521789ba91b7058695139ed074f7796

[ "MIT" ]

null

Clean Word/index.py

Sudani-Coder/python

9c35f04a0521789ba91b7058695139ed074f7796

[ "MIT" ]

null

# recursion function (Clean Word) def CleanWord(word): if len(word) == 1: return word elif word[0] == word[1]: return CleanWord(word[1:]) else: return word[0] + CleanWord(word[1:]) print(CleanWord("wwwooooorrrrllddd"))

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py

Python

commands/rotatecamera.py

1757WestwoodRobotics/mentorbot

3db344f3b35c820ada4e1aef3eca9b1fc4c5b85a

[ "MIT" ]

2

2021-11-13T20:18:44.000Z

2021-11-13T20:27:04.000Z

commands/rotatecamera.py

1757WestwoodRobotics/mentorbot

3db344f3b35c820ada4e1aef3eca9b1fc4c5b85a

[ "MIT" ]

null

commands/rotatecamera.py

1757WestwoodRobotics/mentorbot

3db344f3b35c820ada4e1aef3eca9b1fc4c5b85a

[ "MIT" ]

1

2021-11-14T01:38:53.000Z

import typing from commands2 import CommandBase from subsystems.cameracontroller import CameraSubsystem class RotateCamera(CommandBase): def __init__(self, camera: CameraSubsystem, leftRight: typing.Callable[[], float], upDown: typing.Callable[[], float]) -> None: Comman...

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py

Python

instapp/views.py

uwamahororachel/instagram

d5b7127e62047287dfadec15743676df48f278a9

[ "MIT" ]

null

instapp/views.py

uwamahororachel/instagram

d5b7127e62047287dfadec15743676df48f278a9

[ "MIT" ]

null

instapp/views.py

uwamahororachel/instagram

d5b7127e62047287dfadec15743676df48f278a9

[ "MIT" ]

null

from django.shortcuts import render,redirect from django.http import HttpResponse, Http404,HttpResponseRedirect import datetime as dt from .models import Post,Comment,Follow,Profile from django.contrib.auth.decorators import login_required from .forms import NewPostForm, NewCommentForm, AddProfileForm from django.contr...

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a0d89d58810bc392058c43540e5719fda8ed9934

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py

Python

cfg.py

alexandonian/relational-set-abstraction

8af6a6a58883ce59c7b29e4161ff970e3bded642

[ "MIT" ]

9

2020-09-17T23:09:42.000Z

2021-12-29T09:56:24.000Z

cfg.py

alexandonian/relational-set-abstraction

8af6a6a58883ce59c7b29e4161ff970e3bded642

[ "MIT" ]

null

cfg.py

alexandonian/relational-set-abstraction

8af6a6a58883ce59c7b29e4161ff970e3bded642

[ "MIT" ]

1

2021-01-16T07:19:42.000Z

import argparse import torch import logger import models import utils NUM_NODES = { 'moments': 391, 'multimoments': 391, 'kinetics': 608, } CRITERIONS = { 'CE': {'func': torch.nn.CrossEntropyLoss}, 'MSE': {'func': torch.nn.MSELoss}, 'BCE': {'func': torch.nn.BCEWithLogitsLoss}, } OPTIMIZERS =...

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a0dac9d01fbc63e4052a6ea761aeaa779debac1b

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py

Python

Spider/SpiderLab/lab3/lab3/spiders/spider_msg.py

JimouChen/python-application

b7b16506a17e2c304d1c5fabd6385e96be211c56

[ "Apache-2.0" ]

1

2020-08-09T12:47:27.000Z

Spider/SpiderLab/lab3/lab3/spiders/spider_msg.py

JimouChen/Python_Application

b7b16506a17e2c304d1c5fabd6385e96be211c56

[ "Apache-2.0" ]

null

Spider/SpiderLab/lab3/lab3/spiders/spider_msg.py

JimouChen/Python_Application

b7b16506a17e2c304d1c5fabd6385e96be211c56

[ "Apache-2.0" ]

null

import scrapy from bs4 import BeautifulSoup from lab3.items import Lab3Item class QuoteSpider(scrapy.Spider): name = 'quotes' start_urls = ['http://quotes.toscrape.com/page/1/'] page_num = 1 # 对爬取到的信息进行解析 def parse(self, response, **kwargs): soup = BeautifulSoup(response.body, 'html.parse...

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a0db51a733ae0c8c54da89e34dba10cbd38f7150

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py

Python

Aditya/Parametric_Models/WeiExpLog.py

cipheraxat/Survival-Analysis

fb7ecbe4a61fc72785a4327c86e0f81a58c5b3df

[ "Apache-2.0" ]

7

2020-06-14T20:43:55.000Z

2020-06-23T06:07:08.000Z

Aditya/Parametric_Models/WeiExpLog.py

Abhijit2505/Survival-Analysis

94c0c386aacfe03a9f2f018511236292f36c4ed9

[ "Apache-2.0" ]

14

2020-06-20T06:28:50.000Z

2020-09-08T15:54:29.000Z

Aditya/Parametric_Models/WeiExpLog.py

Abhijit2505/Survival-Analysis

94c0c386aacfe03a9f2f018511236292f36c4ed9

[ "Apache-2.0" ]

9

2020-06-19T03:50:21.000Z

2021-05-10T18:19:26.000Z

import matplotlib.pyplot as plt from lifelines import (WeibullFitter, ExponentialFitter, LogNormalFitter, LogLogisticFitter) import pandas as pd data = pd.read_csv('Dataset/telco_customer.csv') data['tenure'] = pd.to_numeric(data['tenure']) data = data[data['tenure'] > 0] # Replace yes and No ...

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py

Python

spoteno/steps/numbers.py

Z-80/spoteno

5d2ae7da437cfd8f9cf351b9602269c115dcd46f

[ "MIT" ]

2

2020-01-16T10:23:05.000Z

2021-11-17T15:44:29.000Z

spoteno/steps/numbers.py

Z-80/spoteno

5d2ae7da437cfd8f9cf351b9602269c115dcd46f

[ "MIT" ]

null

spoteno/steps/numbers.py

Z-80/spoteno

5d2ae7da437cfd8f9cf351b9602269c115dcd46f

[ "MIT" ]

2

2021-03-25T12:06:36.000Z

2021-11-17T15:44:30.000Z

import re import num2words INT_PATTERN = re.compile(r'^-?[0-9]+$') FLOAT_PATTERN = re.compile(r'^-?[0-9]+[,\.][0-9]+$') ORDINAL_PATTERN = re.compile(r'^[0-9]+\.?$') NUM_PATTERN = re.compile(r'^-?[0-9]+([,\.][0-9]+$)?') class NumberToWords: def __init__(self, lang_code): self.lang_code = lang_code ...

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a0e444f5e01631d54753ab517309246502cc9089

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py

Python

resources/portfolio_book.py

basgir/bibliotek

42456ced804a2c9570227b393de662847283c76f

[ "MIT" ]

null

resources/portfolio_book.py

basgir/bibliotek

42456ced804a2c9570227b393de662847283c76f

[ "MIT" ]

null

resources/portfolio_book.py

basgir/bibliotek

42456ced804a2c9570227b393de662847283c76f

[ "MIT" ]

null

########################################### # Author : Bastien Girardet, Deborah De Wolff # Date : 13.05.2018 # Course : Applications in Object-oriented Programming and Databases # Teachers : Binswanger Johannes, Zürcher Ruben # Project : Bibliotek # Name : portfolio_book.py Portfolio_book Flask_restful res...

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a0e4dae891748b8a01307ae7aac7bc7715d4cc4e

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py

Python

examples/the-feeling-of-success/run_experiments.py

yujialuo/erdos

7a631b55895f1a473b0f4d38a0d6053851e65b5d

[ "Apache-2.0" ]

null

examples/the-feeling-of-success/run_experiments.py

yujialuo/erdos

7a631b55895f1a473b0f4d38a0d6053851e65b5d

[ "Apache-2.0" ]

null

examples/the-feeling-of-success/run_experiments.py

yujialuo/erdos

7a631b55895f1a473b0f4d38a0d6053851e65b5d

[ "Apache-2.0" ]

null

import logging from absl import app from sensor_msgs.msg import Image from insert_table_op import InsertTableOperator from insert_block_op import InsertBlockOperator from init_robot_op import InitRobotOperator from gel_sight_op import GelSightOperator from mock_loc_obj_op import MockLocateObjectOperator from goto_xyz_...

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a0e5feb7c20a84c78be8423f81add0bb2c5c4589

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py

Python

junction/tickets/migrations/0001_initial.py

theSage21/junction

ac713edcf56c41eb3f066da776a0a5d24e55b46a

[ "MIT" ]

192

2015-01-12T06:21:24.000Z

2022-03-10T09:57:37.000Z

junction/tickets/migrations/0001_initial.py

theSage21/junction

ac713edcf56c41eb3f066da776a0a5d24e55b46a

[ "MIT" ]

621

2015-01-01T09:19:17.000Z

2021-05-28T09:27:35.000Z

junction/tickets/migrations/0001_initial.py

theSage21/junction

ac713edcf56c41eb3f066da776a0a5d24e55b46a

[ "MIT" ]

207

2015-01-05T16:39:06.000Z

2022-02-15T13:18:15.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals import jsonfield.fields from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ ...

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py

Python

src/bin/calc_stats.py

sw005320/PytorchWaveNetVocoder

b92d7af7d5f2794291e0d462694c0719f75ca469

[ "Apache-2.0" ]

1

2021-01-18T06:22:30.000Z

src/bin/calc_stats.py

sw005320/PytorchWaveNetVocoder

b92d7af7d5f2794291e0d462694c0719f75ca469

[ "Apache-2.0" ]

null

src/bin/calc_stats.py

sw005320/PytorchWaveNetVocoder

b92d7af7d5f2794291e0d462694c0719f75ca469

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 2017 Tomoki Hayashi (Nagoya University) # Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0) from __future__ import print_function import argparse import numpy as np from sklearn.preprocessing import StandardScaler from utils import read_hdf5 from ut...

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py

Python

SoftUni-Python-Programming-Course/Exam-Preparation/medicines_in_carton.py

vladislav-karamfilov/Python-Playground

ed83a693d37ff0c1565ece49d2a5d9ecd32c9aac

[ "MIT" ]

1

2019-04-07T23:10:27.000Z

SoftUni-Python-Programming-Course/Exam-Preparation/medicines_in_carton.py

vladislav-karamfilov/Python-Playground

ed83a693d37ff0c1565ece49d2a5d9ecd32c9aac

[ "MIT" ]

null

SoftUni-Python-Programming-Course/Exam-Preparation/medicines_in_carton.py

vladislav-karamfilov/Python-Playground

ed83a693d37ff0c1565ece49d2a5d9ecd32c9aac

[ "MIT" ]

null

# Problem description: http://python3.softuni.bg/student/lecture/assignment/56b749af7e4f59b649b7e626/ class Medicine: def __init__(self, name, w, h, d): self.name = name self.w = w self.h = h self.d = d def can_be_put_in_carton(self, carton_w, carton_h, carton_d): sort...

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py

Python

circuitpy_examples/week1/04_ramp_LED_brightness.py

WSU-Physics/phys150

043ebf8212b56a988ef8e41a4464400bec5a7dc1

[ "MIT" ]

null

circuitpy_examples/week1/04_ramp_LED_brightness.py

WSU-Physics/phys150

043ebf8212b56a988ef8e41a4464400bec5a7dc1

[ "MIT" ]

null

circuitpy_examples/week1/04_ramp_LED_brightness.py

WSU-Physics/phys150

043ebf8212b56a988ef8e41a4464400bec5a7dc1

[ "MIT" ]

null

# Adam Beardsley # starting from from adafruit example # https://learn.adafruit.com/welcome-to-circuitpython/creating-and-editing-code # import board import digitalio import time led = digitalio.DigitalInOut(board.LED) led.direction = digitalio.Direction.OUTPUT ramp_time = 3 # Time to ramp up, in seconds period = 0....

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a0ead277852aac4f9b24d58dbb1630e69b9f9cac

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py

Python

__main__.py

Makeeyaf/SiteChecker

969bdedd2d5df36220ff9fcc41e44cf1db0cca00

[ "MIT" ]

1

2021-01-06T01:45:41.000Z

__main__.py

Makeeyaf/SiteChecker

969bdedd2d5df36220ff9fcc41e44cf1db0cca00

[ "MIT" ]

2

2021-01-03T13:25:39.000Z

2021-01-03T15:57:01.000Z

__main__.py

Makeeyaf/SiteChecker

969bdedd2d5df36220ff9fcc41e44cf1db0cca00

[ "MIT" ]

null

import argparse from site_checker import SiteChecker if __name__ == "__main__": parser = argparse.ArgumentParser(description="Check sites text.") parser.add_argument("config", type=str, nargs=1, help="Path to config json file.") parser.add_argument( "-a", dest="apiKey", type=str, ...

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0

null

0

1

0

a0eb34e703fb20df0982cbdc1702ff56c69d7bb6

1,563

py

Python

autop-listener/autop-listener.py

yuriel-v/ansible

f6e8fcb1edfbef550da2fe217cfd84941523f692

[ "MIT" ]

null

autop-listener/autop-listener.py

yuriel-v/ansible

f6e8fcb1edfbef550da2fe217cfd84941523f692

[ "MIT" ]

null

autop-listener/autop-listener.py

yuriel-v/ansible

f6e8fcb1edfbef550da2fe217cfd84941523f692

[ "MIT" ]

null

import os from pathlib import Path from datetime import datetime from json import dumps import flask as fsk from flask import request, jsonify, Response app = fsk.Flask(__name__) app.config['DEBUG'] = False homedir = os.getenv('HOME') @app.route('/provision', methods=['POST']) def auto_provision(): Path(f'{homed...

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0

null

0

null

0

1

0

a0ee65cec9b822e4705a0e2c457a3bbab820bf6b

1,314

py

Python

cryptographyMachine/cryptographyMachine.py

anuranjan08/CryptoMachine

5a1d68adbe88708f21902d1d44a636c043f6ed28

[ "MIT" ]

null

cryptographyMachine/cryptographyMachine.py

anuranjan08/CryptoMachine

5a1d68adbe88708f21902d1d44a636c043f6ed28

[ "MIT" ]

null

cryptographyMachine/cryptographyMachine.py

anuranjan08/CryptoMachine

5a1d68adbe88708f21902d1d44a636c043f6ed28

[ "MIT" ]

null

def machine(): keys='abcdefghijklmnopqrstuvwxyz !' values=keys[-1]+keys[0:-1] """ In encrytpDict: In decryptDict: keys Values keys Values 'a' '!' '!' 'a' 'b' 'a' 'a' 'b' . . . . . . ....

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1,314

47

90

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0

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0.041801

0

1

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0

0.133333

0

null

0

null

0

1

0

a0ee8d887762a2061e866ff6d3e72e86639288e1

645

py

Python

tests/test_ioeeg_abf.py

wonambi-python/wonambi

4e2834cdd799576d1a231ecb48dfe4da1364fe3a

[ "BSD-3-Clause" ]

63

2017-12-30T08:11:17.000Z

2022-01-28T10:34:20.000Z

tests/test_ioeeg_abf.py

wonambi-python/wonambi

4e2834cdd799576d1a231ecb48dfe4da1364fe3a

[ "BSD-3-Clause" ]

23

2017-09-08T08:29:49.000Z

2022-03-17T08:19:13.000Z

tests/test_ioeeg_abf.py

wonambi-python/wonambi

4e2834cdd799576d1a231ecb48dfe4da1364fe3a

[ "BSD-3-Clause" ]

12

2017-09-18T12:48:36.000Z

2021-09-22T07:16:07.000Z

from numpy import isnan from wonambi import Dataset from .paths import axon_abf_file d = Dataset(axon_abf_file) def test_abf_read(): assert len(d.header['chan_name']) == 1 assert d.header['start_time'].minute == 47 data = d.read_data(begtime=1, endtime=2) assert data.data[0][0, 0] == 2.197265592...

21.5

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0.186047

645

29

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0

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0

0.294118

0

null

0

null

0

1

0

a0f3c7164fd5d0e03360ed4d29df99912a368e12

915

py

Python

day02/day02.py

pogross/adventofcode2021

33fc177d30e1104a6203e435f83594c4d3774cdb

[ "MIT" ]

null

day02/day02.py

pogross/adventofcode2021

33fc177d30e1104a6203e435f83594c4d3774cdb

[ "MIT" ]

null

day02/day02.py

pogross/adventofcode2021

33fc177d30e1104a6203e435f83594c4d3774cdb

[ "MIT" ]

null

def execute_command(command: str) -> (int): direction, magnitude = command.split(" ") horizontal, depth = 0, 0 if direction == "forward": horizontal += int(magnitude) elif direction == "up": depth -= int(magnitude) elif direction == "down": depth += int(magnitude) retur...

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5.280374

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0.159292

0.074336

0.060177

0

0.007184

0.239344

915

33

69

27.727273

0.804598

0.06776

0

0.173913

0

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0

1

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false

0

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0.043478

0

null

0

null

0

1

0

a0fccc7e51abcecde4662d4c35aa618544e6087c

7,500

py

Python

Perceptual Hash -Asher/ex1/example_solution.py

kidist-amde/image-search-engine

467d022f7248a74822dd9ae938b5b86333ce417a

[ "MIT" ]

null

Perceptual Hash -Asher/ex1/example_solution.py

kidist-amde/image-search-engine

467d022f7248a74822dd9ae938b5b86333ce417a

[ "MIT" ]

null

Perceptual Hash -Asher/ex1/example_solution.py

kidist-amde/image-search-engine

467d022f7248a74822dd9ae938b5b86333ce417a

[ "MIT" ]

null

import os import cv2 from sklearn.cluster import KMeans, DBSCAN, MiniBatchKMeans from scipy import spatial from sklearn.preprocessing import StandardScaler import numpy as np from tqdm import tqdm import argparse parser = argparse.ArgumentParser(description='Challenge presentation example') parser.add_argument('--data...

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0

null

0

null

0

1

0

a0fd2af6803ffa9be2e8f4bfae48a6a7e68eb4ea

179,927

py

Python

cyberradiodriver/CyberRadioDriver/radio.py

CyberRadio/CyberRadioDriver

44e6fc0e805981981514e6edc18d11d5fa33e659

[ "MIT" ]

null

cyberradiodriver/CyberRadioDriver/radio.py

CyberRadio/CyberRadioDriver

44e6fc0e805981981514e6edc18d11d5fa33e659

[ "MIT" ]

null

cyberradiodriver/CyberRadioDriver/radio.py

CyberRadio/CyberRadioDriver

44e6fc0e805981981514e6edc18d11d5fa33e659

[ "MIT" ]

null

#!/usr/bin/env python ############################################################### # \package CyberRadioDriver.radio # # \brief Defines basic functionality for radio handler objects. # # \note This module defines basic behavior only. To customize # a radio handler class for a particular radio, derive a new # ...

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null

0

null

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1

0

9d006b0d7e89fe26f4e43d422a80339277272355

3,836

py

Python

synthdid/variance.py

MasaAsami/pysynthdid

01afe33ae22f513c65f9cfdec56a4b21ca547c28

[ "Apache-2.0" ]

null

synthdid/variance.py

MasaAsami/pysynthdid

01afe33ae22f513c65f9cfdec56a4b21ca547c28

[ "Apache-2.0" ]

null

synthdid/variance.py

MasaAsami/pysynthdid

01afe33ae22f513c65f9cfdec56a4b21ca547c28

[ "Apache-2.0" ]

2

2022-03-11T03:13:36.000Z

2022-03-20T22:55:13.000Z

import pandas as pd import numpy as np from tqdm import tqdm class Variance(object): def estimate_variance(self, algo="placebo", replications=200): """ # algo - placebo ## The following algorithms are omitted because they are not practical. - bootstrap - jackknife ...

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false

0

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0

0.088235

0

null

0

null

0

1

0

9d01bb83bee5f2c4612c59332de6ea7b9e34ac2f

681

py

Python

todo/views.py

arascch/Todo_list

a4c88abaa4e6c1e158135b4fce4bcfbf64cb86e2

[ "Apache-2.0" ]

1

2020-03-24T09:26:23.000Z

todo/views.py

arascch/Todo_list

a4c88abaa4e6c1e158135b4fce4bcfbf64cb86e2

[ "Apache-2.0" ]

null

todo/views.py

arascch/Todo_list

a4c88abaa4e6c1e158135b4fce4bcfbf64cb86e2

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.utils import timezone from todo.models import Todo from django.http import HttpResponseRedirect def home(request): todo_items = Todo.objects.all().order_by("-added_date") return render(request , 'todo/index.html' , {"todo_items":todo_items}) def add_todo(request)...

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0.142438

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0.833904

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false

0

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0

0.625

0

null

0

null

0

1

0

9d02e73cfc6d5e0a0462f594bbcafd9199cb2c88

816

py

Python

Easy/Hangman/HangMan - Stage 6.py

michael-act/HyperSkill

ce16eb3b6f755f7f8f21a57ef2679fcb8a4bd55c

[ "MIT" ]

1

2020-11-17T18:09:30.000Z

Easy/Hangman/HangMan - Stage 6.py

michael-act/HyperSkill

ce16eb3b6f755f7f8f21a57ef2679fcb8a4bd55c

[ "MIT" ]

null

Easy/Hangman/HangMan - Stage 6.py

michael-act/HyperSkill

ce16eb3b6f755f7f8f21a57ef2679fcb8a4bd55c

[ "MIT" ]

null

import random category = ['python', 'java', 'kotlin', 'javascript'] computer = random.choice(category) hidden = list(len(computer) * "-") print("H A N G M A N") counter = 8 while counter > 0: print() print("".join(hidden)) letter = input("Input a letter: ") if (letter in hidden) or (letter in hidden...

24

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816

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0.469027

0.063618

0.055666

0.079523

0

0.0128

0.234069

816

34

62

24

0.792

0

0.258065

0

0.1875

0

1

0

false

0

0.032258

0

0.032258

0.354839

0

null

0

null

0

1

0

9d03157b2910202ba3c53d84197f7000003a404d

6,536

py

Python

sklcc/taskEdit.py

pyxuweitao/MSZ_YCL

23323c4660f44af0a45d6ab81cd496b81976f5a0

[ "Apache-2.0" ]

null

sklcc/taskEdit.py

pyxuweitao/MSZ_YCL

23323c4660f44af0a45d6ab81cd496b81976f5a0

[ "Apache-2.0" ]

null

sklcc/taskEdit.py

pyxuweitao/MSZ_YCL

23323c4660f44af0a45d6ab81cd496b81976f5a0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ 所有任务task相关功能函数 """ __author__ = "XuWeitao" import CommonUtilities import rawSql def getTasksList(UserID): """ 获取任务列表，包括任务流水号，创建时间，最近一次修改时间，货号，色号以及到料时间和创建人 :param UserID:创建人ID，如果为ALL则返回所有的任务列表 :return:{ "SerialNo":任务流水号, "CreateTime":任务创建时间, "LastModifiedTime":最近一次修改时间, "ProductNo"...

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false

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0

0.148515

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null

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null

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0

9d064db24d2e119266bc78323c4a529982872160

744

py

Python

Leetcoding-Actions/my-weekly-DSA-challenge/2020-w44-p0200-Number-of-Islands.py

shoaibur/SWE

1e114a2750f2df5d6c50b48c8e439224894d65da

[ "MIT" ]

1

2020-11-14T18:28:13.000Z

Leetcoding-Actions/my-weekly-DSA-challenge/2020-w44-p0200-Number-of-Islands.py

shoaibur/SWE

1e114a2750f2df5d6c50b48c8e439224894d65da

[ "MIT" ]

null

Leetcoding-Actions/my-weekly-DSA-challenge/2020-w44-p0200-Number-of-Islands.py

shoaibur/SWE

1e114a2750f2df5d6c50b48c8e439224894d65da

[ "MIT" ]

null

class Solution: def numIslands(self, grid: List[List[str]]) -> int: ''' T: O(mn) and S: O(1) ''' if not grid: return 0 nrow, ncol = len(grid), len(grid[0]) def exploreIsland(grid, i, j): if i < 0 or i > nrow - 1 or j < 0 or j > ncol-1 or grid[i][j...

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744

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0.294118

0

null

0

null

0

1

0

9d07e918f729733a967e2d67e465e2cf7ce7d2a4

11,417

py

Python

tensor2tensor/models/revnet.py

ysglh/tensor2tensor

f55462a9928f3f8af0b1275a4fb40d13cae6cc79

[ "Apache-2.0" ]

null

tensor2tensor/models/revnet.py

ysglh/tensor2tensor

f55462a9928f3f8af0b1275a4fb40d13cae6cc79

[ "Apache-2.0" ]

null

tensor2tensor/models/revnet.py

ysglh/tensor2tensor

f55462a9928f3f8af0b1275a4fb40d13cae6cc79

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2017 The Tensor2Tensor Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...

38.441077

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0.183333

0

null

0

null

0

1

0

9d08e38fa29119640133acdff959362b1c00409d

4,166

py

Python

tests/unit/test_services.py

BlooAM/Online-shopping-app

aa68d258fe32bf5a792e534dddd9def7c25460e2

[ "MIT" ]

null

tests/unit/test_services.py

BlooAM/Online-shopping-app

aa68d258fe32bf5a792e534dddd9def7c25460e2

[ "MIT" ]

null

tests/unit/test_services.py

BlooAM/Online-shopping-app

aa68d258fe32bf5a792e534dddd9def7c25460e2

[ "MIT" ]

null

import pytest from datetime import date, timedelta from adapters import repository from domain.model import Batch, OrderLine, allocate, OutOfStock from domain import model from service_layer import handlers, unit_of_work class FakeSession: def __init__(self): self.committed = False def commit(self):...

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0.303371

0

null

0

null

0

1

0

9d08ebe64750ed4ee86af0207bca624b0391ff75

1,786

py

Python

DQMOffline/L1Trigger/python/L1TEGammaOffline_cfi.py

pasmuss/cmssw

566f40c323beef46134485a45ea53349f59ae534

[ "Apache-2.0" ]

null

DQMOffline/L1Trigger/python/L1TEGammaOffline_cfi.py

pasmuss/cmssw

566f40c323beef46134485a45ea53349f59ae534

[ "Apache-2.0" ]

null

DQMOffline/L1Trigger/python/L1TEGammaOffline_cfi.py

pasmuss/cmssw

566f40c323beef46134485a45ea53349f59ae534

[ "Apache-2.0" ]

null

import FWCore.ParameterSet.Config as cms electronEfficiencyThresholds = [36, 68, 128, 176] electronEfficiencyBins = [] electronEfficiencyBins.extend(list(xrange(0, 120, 10))) electronEfficiencyBins.extend(list(xrange(120, 180, 20))) electronEfficiencyBins.extend(list(xrange(180, 300, 40))) electronEfficiencyBins.exte...

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false

0

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0

0.030303

0

null

0

null

0

1

0

9d092f6e945eea14883d51652329fcd4951dee46

18,548

py

Python

ion_networks/numba_functions.py

swillems/ion_networks

5304a92248ec007ac2253f246a3d44bdb58ae110

[ "MIT" ]

2

2020-10-28T16:11:56.000Z

2020-12-03T13:19:18.000Z

ion_networks/numba_functions.py

swillems/ion_networks

5304a92248ec007ac2253f246a3d44bdb58ae110

[ "MIT" ]

null

ion_networks/numba_functions.py

swillems/ion_networks

5304a92248ec007ac2253f246a3d44bdb58ae110

[ "MIT" ]

null

#!python # external import numpy as np import numba @numba.njit(nogil=True, cache=True) def longest_increasing_subsequence(sequence): # TODO:Docstring M = np.zeros(len(sequence) + 1, np.int64) P = np.zeros(len(sequence), np.int64) max_subsequence_length = 0 for current_index, current_element in e...

34.864662

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0.239414

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0

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9d099c325b8e8eb13555bc61afea2a208b9050c9

241

py

Python

Programming Fundamentals/Dictionaries/bakery.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

Programming Fundamentals/Dictionaries/bakery.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

Programming Fundamentals/Dictionaries/bakery.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

def result(elements): bakery = {} for i in range(0, len(elements), 2): key = elements[i] value = elements[i + 1] bakery[key] = int(value) return bakery tokens = input().split(' ') print(result(tokens))

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9d0ab807d87d356a4a4fb529654e22486400f676

1,525

py

Python

vtrace/const.py

rnui2k/vivisect

b7b00f2d03defef28b4b8c912e3a8016e956c5f7

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

716

2015-01-01T14:41:11.000Z

2022-03-28T06:51:50.000Z

vtrace/const.py

rnui2k/vivisect

b7b00f2d03defef28b4b8c912e3a8016e956c5f7

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

266

2015-01-01T15:07:27.000Z

2022-03-30T15:19:26.000Z

vtrace/const.py

rnui2k/vivisect

b7b00f2d03defef28b4b8c912e3a8016e956c5f7

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

159

2015-01-01T16:19:44.000Z

2022-03-21T21:55:34.000Z

# Order must match format junk # NOTIFY_ALL is kinda special, if you registerNotifier # with it, you get ALL notifications. NOTIFY_ALL = 0 # Get all notifications NOTIFY_SIGNAL = 1 # Callback on signal/exception NOTIFY_BREAK = 2 # Callback on breakpoint / sigtrap NOTIFY_STEP = 3 # Callback...

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0

null

0

1

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9d0d12599f8d63386d38681b6e12a10636886357

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py

Python

src/ezdxf/groupby.py

jkjt/ezdxf

2acc5611b81476ea16b98063b9f55446a9182b81

[ "MIT" ]

515

2017-01-25T05:46:52.000Z

2022-03-29T09:52:27.000Z

src/ezdxf/groupby.py

jkjt/ezdxf

2acc5611b81476ea16b98063b9f55446a9182b81

[ "MIT" ]

417

2017-01-25T10:01:17.000Z

2022-03-29T09:22:04.000Z

src/ezdxf/groupby.py

jkjt/ezdxf

2acc5611b81476ea16b98063b9f55446a9182b81

[ "MIT" ]

149

2017-02-01T15:52:02.000Z

2022-03-17T10:33:38.000Z

# Purpose: Grouping entities by DXF attributes or a key function. # Copyright (c) 2017-2021, Manfred Moitzi # License: MIT License from typing import Iterable, Hashable, Dict, List, TYPE_CHECKING from ezdxf.lldxf.const import DXFValueError, DXFAttributeError if TYPE_CHECKING: from ezdxf.eztypes import DXFEntity, ...

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0

null

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0

9d0eed15b3c0630d157c26b0aac4e458a282e19f

8,527

py

Python

main_single.py

wang-chen/AirLoop

12fb442c911002427a51f00d43f747ef593bd186

[ "BSD-3-Clause" ]

39

2021-09-28T19:48:13.000Z

2022-03-17T06:44:19.000Z

main_single.py

wang-chen/AirLoop

12fb442c911002427a51f00d43f747ef593bd186

[ "BSD-3-Clause" ]

null

main_single.py

wang-chen/AirLoop

12fb442c911002427a51f00d43f747ef593bd186

[ "BSD-3-Clause" ]

3

2021-10-04T01:26:17.000Z

2022-02-12T04:48:50.000Z

#!/usr/bin/env python3 import os import tqdm import torch import random import numpy as np import torch.nn as nn import configargparse import torch.optim as optim from tensorboard import program from torch.utils.tensorboard import SummaryWriter import yaml from models import FeatureNet from datasets import get_datase...

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9d10f233df729f37438c93bc6d49f9504b03d459

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py

Python

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/rss_proxy/views.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

3

2021-12-15T04:58:18.000Z

2022-02-06T12:15:37.000Z

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/rss_proxy/views.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

null

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/rss_proxy/views.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

1

2019-01-02T14:38:50.000Z

""" Views for the rss_proxy djangoapp. """ import requests from django.conf import settings from django.core.cache import cache from django.http import HttpResponse, HttpResponseNotFound from lms.djangoapps.rss_proxy.models import WhitelistedRssUrl CACHE_KEY_RSS = "rss_proxy.{url}" def proxy(request): """ ...

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0

null

0

null

0

1

0

9d123f052b89aece17eb457b8ad9cafa6d71e501

314

py

Python

bootcamp/accounts/urls.py

elbakouchi/bootcamp

2c7a0cd2ddb7632acb3009f94d728792ddf9644f

[ "MIT" ]

null

bootcamp/accounts/urls.py

elbakouchi/bootcamp

2c7a0cd2ddb7632acb3009f94d728792ddf9644f

[ "MIT" ]

null

bootcamp/accounts/urls.py

elbakouchi/bootcamp

2c7a0cd2ddb7632acb3009f94d728792ddf9644f

[ "MIT" ]

null

from django.conf.urls import url from .views import * app_name = "accounts" urlpatterns = [ url(r"^signup/$", CustomSignupView.as_view(), name="custom_signup"), url(r"^destroy/$", AjaxLogoutView.as_view(), name="destroy"), url(r"^(?P<username>[\w.@+-]+)/$", ProfileView.as_view(), name="profile"), ]

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0

0.25

0

null

0

null

0

1

0

9d1338f96592532b4f49b0f4d8c0180dee99ffe0

1,833

py

Python

tests/integration/test_translated_content.py

asmeurer/nikola

ea1c651bfed0fd6337f1d22cf8dd99899722912c

[ "MIT" ]

1,901

2015-01-02T02:49:51.000Z

2022-03-30T23:31:35.000Z

tests/integration/test_translated_content.py

asmeurer/nikola

ea1c651bfed0fd6337f1d22cf8dd99899722912c

[ "MIT" ]

1,755

2015-01-01T08:17:16.000Z

2022-03-24T18:02:22.000Z

tests/integration/test_translated_content.py

asmeurer/nikola

ea1c651bfed0fd6337f1d22cf8dd99899722912c

[ "MIT" ]

421

2015-01-02T18:06:37.000Z

2022-03-28T23:18:54.000Z

""" Test a site with translated content. Do not test titles as we remove the translation. """ import io import os import shutil import lxml.html import pytest import nikola.plugins.command.init from nikola import __main__ from .helper import cd from .test_empty_build import ( # NOQA test_archive_exists, t...

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null

0

null

0

1

0

9d13de1d5fcb7bb17eb81bbe83f7d14929b0ec78

8,826

py

Python

src/train.py

weiyi1991/UA_Concurrent

11238c778c60095abf326800d6e6a13a643bf071

[ "MIT" ]

null

src/train.py

weiyi1991/UA_Concurrent

11238c778c60095abf326800d6e6a13a643bf071

[ "MIT" ]

1

2020-09-02T12:24:59.000Z

src/train.py

weiyi1991/UA_Concurrent

11238c778c60095abf326800d6e6a13a643bf071

[ "MIT" ]

null

import argparse import os import torch import torch.nn.functional as F from model_ST import * import data import numpy as np import matplotlib.pyplot as plt from torch.utils.data import Dataset, DataLoader import sys from predict import evaluate_MA from tensorboardX import SummaryWriter # print model parameter def pri...

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8,826

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0

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0

null

0

null

0

1

0

9d1ab6609be43e89cc309b21cfc303cd71c0ffae

5,617

py

Python

tests/tensor/test_tensor_data.py

aspfohl/tinytorch

99ac1847b798f755d12876667ec7c3a6c7149857

[ "MIT" ]

null

tests/tensor/test_tensor_data.py

aspfohl/tinytorch

99ac1847b798f755d12876667ec7c3a6c7149857

[ "MIT" ]

null

tests/tensor/test_tensor_data.py

aspfohl/tinytorch

99ac1847b798f755d12876667ec7c3a6c7149857

[ "MIT" ]

null

import pytest from hypothesis import given from hypothesis.strategies import data from numpy import array, array_equal from tests.strategies import indices, tensor_data from tinytorch.tensor.data import ( IndexingError, TensorData, broadcast_index, shape_broadcast, ) # Check basic properties of layout...

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0.012928

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0.231739

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0

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0.013245

0

null

0

null

0

1

0

9d1d92e0aac0102261fb87134d9195f41601abbb

2,813

py

Python

aps/tokenizer/word.py

ishine/aps

c814dc5a8b0bff5efa7e1ecc23c6180e76b8e26c

[ "Apache-2.0" ]

117

2021-02-02T13:38:16.000Z

2022-03-16T05:40:25.000Z

aps/tokenizer/word.py

ishine/aps

c814dc5a8b0bff5efa7e1ecc23c6180e76b8e26c

[ "Apache-2.0" ]

3

2021-11-11T07:07:31.000Z

2021-11-20T15:25:42.000Z

aps/tokenizer/word.py

ishine/aps

c814dc5a8b0bff5efa7e1ecc23c6180e76b8e26c

[ "Apache-2.0" ]

19

2021-02-04T10:04:25.000Z

2022-02-16T05:24:44.000Z

#!/usr/bin/env python # Copyright 2021 Jian Wu # License: Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0) from typing import List, Union from aps.tokenizer.base import TokenizerAbc, ApsTokenizer class WordBasedTokenizer(TokenizerAbc): """ Word based (word, character) tokenizer Args: filt...

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0

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0

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null

0

null

0

1

0

9d1d953211acad0e8c4ba6634015c410a59e3522

1,736

py

Python

tests/test_session.py

StenSipma/astrometry-client

11d5b0cd0ae41a18b5bbd7f5570af60dbfbd9cc6

[ "MIT" ]

1

2020-08-06T17:55:52.000Z

tests/test_session.py

StenSipma/astrometry-client

11d5b0cd0ae41a18b5bbd7f5570af60dbfbd9cc6

[ "MIT" ]

1

2021-12-18T17:03:21.000Z

2021-12-19T12:33:16.000Z

tests/test_session.py

StenSipma/astrometry-client

11d5b0cd0ae41a18b5bbd7f5570af60dbfbd9cc6

[ "MIT" ]

null

import os from unittest import mock import pytest import requests from constants import VALID_KEY from utils import FunctionCalledException, function_called_raiser from astrometry_net_client import Session from astrometry_net_client.exceptions import APIKeyError, LoginFailedException some_key = "somekey" # Start o...

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0

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0

0.341463

0

null

0

null

0

1

0

9d1e173ec4f6da5495185d4e64e6ce6be159c672

2,184

py

Python

all_repos_depends/lang/python.py

mxr/all-repos-depends

dcf715dbfb7182899e2412dbfaaf1ef4cc50865c

[ "MIT" ]

11

2018-04-23T06:41:55.000Z

2022-01-27T13:37:59.000Z

all_repos_depends/lang/python.py

mxr/all-repos-depends

dcf715dbfb7182899e2412dbfaaf1ef4cc50865c

[ "MIT" ]

2

2018-04-23T06:03:18.000Z

2018-04-23T06:03:51.000Z

all_repos_depends/lang/python.py

mxr/all-repos-depends

dcf715dbfb7182899e2412dbfaaf1ef4cc50865c

[ "MIT" ]

2

2021-02-01T15:02:14.000Z

2021-09-25T15:49:44.000Z

import ast import os.path from typing import Iterable from packaging.requirements import InvalidRequirement from packaging.requirements import Requirement from packaging.utils import canonicalize_name from all_repos_depends.errors import DependsError from all_repos_depends.types import Depends NAME = 'python' def ...

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0

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0

null

0

null

0

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0

9d1fd039657947bcd1efbe3cb094639c4aa0c630

2,829

py

Python

mac/macos_app_audit.py

airdata/scripts

b24d62d70bbc70f02b3758ea14e47cc2b34646a9

[ "Apache-2.0" ]

null

mac/macos_app_audit.py

airdata/scripts

b24d62d70bbc70f02b3758ea14e47cc2b34646a9

[ "Apache-2.0" ]

null

mac/macos_app_audit.py

airdata/scripts

b24d62d70bbc70f02b3758ea14e47cc2b34646a9

[ "Apache-2.0" ]

null

from os import listdir from os.path import isfile, join class Command(object): """ Run a command and capture it's output string, error string and exit status Source: http://stackoverflow.com/a/13848259/354247 """ def __init__(self, command): self.command = command def run(self, shell=Tr...

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0

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0

null

0

null

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1

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9d20e8c21375abfa3aefb4fb09790b9ecbec1d58

6,911

py

Python

compress/algorithms/lzw.py

ShellCode33/CompressionAlgorithms

3b2e7b497ef0af4ba7ac8bc6f4d6e77ea4c4aedc

[ "MIT" ]

null

compress/algorithms/lzw.py

ShellCode33/CompressionAlgorithms

3b2e7b497ef0af4ba7ac8bc6f4d6e77ea4c4aedc

[ "MIT" ]

null

compress/algorithms/lzw.py

ShellCode33/CompressionAlgorithms

3b2e7b497ef0af4ba7ac8bc6f4d6e77ea4c4aedc

[ "MIT" ]

null

# coding: utf-8 class LZW(object): """ Implementation of the LZW algorithm. Attributes ---------- translation_dict : dict Association between repeated bytes sequences and integers. Examples -------- An array of bytes like ['\x41', '\x42', '\x43', '\x0A', '\x00'] can be represente...

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0

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0

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0

null

0

null

0

1

0

9d20f94306c2d2e2215af2edce02e11edf2054d9

1,322

py

Python

app/models.py

ariqfadlan/donorojo-db-api

dd1a3241ead5738c94eb77ed0bbb23b26582618f

[ "MIT" ]

null

app/models.py

ariqfadlan/donorojo-db-api

dd1a3241ead5738c94eb77ed0bbb23b26582618f

[ "MIT" ]

null

app/models.py

ariqfadlan/donorojo-db-api

dd1a3241ead5738c94eb77ed0bbb23b26582618f

[ "MIT" ]

null

""" Contains database models """ from sqlalchemy import Column, ForeignKey, Integer, String, Float from sqlalchemy.orm import relationship from .database import Base class TouristAttraction(Base): __tablename__ = "tourist_attraction" id = Column(Integer, primary_key=True, index=True) name = Column(String...

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0

1

0

null

0

null

0

1

0

9d2612bdf9b9d5fe13c734ed2826b9452f048d19

1,096

py

Python

hackerrank_contests/101Hack44/prime.py

rishabhiitbhu/hackerrank

acc300851c81a29472177f15fd8b56ebebe853ea

[ "MIT" ]

null

hackerrank_contests/101Hack44/prime.py

rishabhiitbhu/hackerrank

acc300851c81a29472177f15fd8b56ebebe853ea

[ "MIT" ]

null

hackerrank_contests/101Hack44/prime.py

rishabhiitbhu/hackerrank

acc300851c81a29472177f15fd8b56ebebe853ea

[ "MIT" ]

1

2020-01-30T06:47:09.000Z

def rwh_primes2(n): correction = (n%6>1) n = {0:n,1:n-1,2:n+4,3:n+3,4:n+2,5:n+1}[n%6] sieve = [True] * (n//3) sieve[0] = False for i in range(int(n**0.5)//3+1): if sieve[i]: k=3*i+1|1 sieve[ ((k*k)//3) ::2*k]=[False]*((n//6-(k*k)//6-1)//k+1) sieve[(...

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null

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null

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9d2bc7d987bd63f2af30edb8519069c52527c5c7

387

py

Python

General Data Preprocessing/copyFile.py

yuxiawang1992/Python-Code

d457a1fd61742dfac08a82a26b66703e5ff6f780

[ "Apache-2.0" ]

null

General Data Preprocessing/copyFile.py

yuxiawang1992/Python-Code

d457a1fd61742dfac08a82a26b66703e5ff6f780

[ "Apache-2.0" ]

null

General Data Preprocessing/copyFile.py

yuxiawang1992/Python-Code

d457a1fd61742dfac08a82a26b66703e5ff6f780

[ "Apache-2.0" ]

null

#Python 3.4.3 #coding=gbk # copy file wangyuxia 20160920 import sys, shutil, os, string path = "E:\\test for qgis\\" target_path = "E:\\test for qgis\\HourScale\\" for i in range(2,31): for j in range(0,24): filename = 'N'+str(i).zfill(2)+str(j).zfill(2) shutil.copyfile(path+'d_02.hdr',target_pat...

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null

0

1

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9d2c26cb802d2c6da46e391e982eacb22cc6b08d

3,581

py

Python

convert_to_onnx.py

bhahn2004/FaceBoxes.PyTorch

be01c2449c6efa2a976a701dd8a052aa903a32b4

[ "MIT" ]

null

convert_to_onnx.py

bhahn2004/FaceBoxes.PyTorch

be01c2449c6efa2a976a701dd8a052aa903a32b4

[ "MIT" ]

null

convert_to_onnx.py

bhahn2004/FaceBoxes.PyTorch

be01c2449c6efa2a976a701dd8a052aa903a32b4

[ "MIT" ]

null

import sys from scipy.special import softmax import torch.onnx import onnxruntime as ort import numpy as np import tensorflow as tf from tensorflow.keras import backend as K from pytorch2keras.converter import pytorch_to_keras from models.faceboxes import FaceBoxes input_dim = 1024 num_classes = 2 model_path = "weig...

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null

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null

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1

0

9d2f4723ec751e23b2b4a9d81dfaceee08d127d9

3,292

py

Python

x2py/links/strategies/buffer_transform_strategy.py

jaykang920/x2py

b8bd473f94ff4b9576e984cc384f4159ab71278d

[ "MIT" ]

null

x2py/links/strategies/buffer_transform_strategy.py

jaykang920/x2py

b8bd473f94ff4b9576e984cc384f4159ab71278d

[ "MIT" ]

1

2019-06-05T09:35:09.000Z

2020-07-02T09:46:46.000Z

x2py/links/strategies/buffer_transform_strategy.py

jaykang920/x2py

b8bd473f94ff4b9576e984cc384f4159ab71278d

[ "MIT" ]

null

# Copyright (c) 2017, 2018 Jae-jun Kang # See the file LICENSE for details. from x2py.event_factory import EventFactory from x2py.links.link_events import * from x2py.links.strategy import ChannelStrategy from x2py.util.trace import Trace class BufferTransformStrategy(ChannelStrategy): EventFactory.register_type(...

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null

0

null

0

1

0

9d2ffa602fd2739373ede0b55f827179feb8572a

5,632

py

Python

ignite_trainer/_visdom.py

jinczing/AudioCLIP

b080fc946599290c91f9d3b203295e5968af1bf6

[ "MIT" ]

304

2021-06-28T09:59:13.000Z

2022-03-30T17:33:52.000Z

ignite_trainer/_visdom.py

AK391/AudioCLIP

45327aa203839bfeb58681dd36c04fd493ee72f4

[ "MIT" ]

176

2021-07-23T08:30:21.000Z

2022-03-14T12:29:06.000Z

ignite_trainer/_visdom.py

AK391/AudioCLIP

45327aa203839bfeb58681dd36c04fd493ee72f4

[ "MIT" ]

34

2021-06-29T11:50:19.000Z

2022-03-02T12:01:36.000Z

import os import sys import json import time import tqdm import socket import subprocess import numpy as np import visdom from typing import Tuple from typing import Optional def calc_ytick_range(vis: visdom.Visdom, window_name: str, env: Optional[str] = None) -> Tuple[float, float]: lower_bound, upper_bound = ...

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null

0

null

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1

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9d3007ae1a0b21a2c5b82a4a63774e81f6aa5a00

4,960

py

Python

anonybot.py

sp0oks/anonybot

864688f04231e3088737b12caed76f61a5128993

[ "MIT" ]

5

2019-12-17T17:53:51.000Z

2020-09-06T07:51:23.000Z

anonybot.py

CptSpookz/anonybot

864688f04231e3088737b12caed76f61a5128993

[ "MIT" ]

null

anonybot.py

CptSpookz/anonybot

864688f04231e3088737b12caed76f61a5128993

[ "MIT" ]

2

2020-01-20T01:01:20.000Z

2020-09-06T07:51:25.000Z

import os import time from sqlalchemy import create_engine, BigInteger, UnicodeText, Column, Integer from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker, scoped_session from sqlalchemy.exc import SQLAlchemyError from aiogram import Bot, Dispatcher, executor, types from aiogr...

36.20438

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0.392047

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0.325994

0

0.00218

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null

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9d303166d818d8f8f693a98022e31dfc5961d444

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py

Python

tests/test_doc_cvnn_example.py

saugatkandel/cvnn

f6d7b5c17fd064a7eaa60e7af922914a974eb69a

[ "MIT" ]

38

2020-09-16T14:47:36.000Z

2022-03-30T13:35:05.000Z

tests/test_doc_cvnn_example.py

saugatkandel/cvnn

f6d7b5c17fd064a7eaa60e7af922914a974eb69a

[ "MIT" ]

25

2020-10-03T19:30:16.000Z

2022-03-29T15:24:44.000Z

tests/test_doc_cvnn_example.py

saugatkandel/cvnn

f6d7b5c17fd064a7eaa60e7af922914a974eb69a

[ "MIT" ]

9

2021-01-18T10:48:57.000Z

2022-02-11T10:34:52.000Z

import numpy as np import cvnn.layers as complex_layers import tensorflow as tf from pdb import set_trace def get_dataset(): (train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.cifar10.load_data() train_images = train_images.astype(dtype=np.complex64) / 255.0 test_images = test_im...

45.5

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2,912

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0.081041

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0.422888

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0.329568

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0

null

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1

0

9d31c3b53c5a416e56a025e297cf9e335432c27b

2,580

py

Python

gkutils/commonutils/getCSVColumnSubset.py

genghisken/gkutils

0c8aa06d813de72b1cd9cba11219a78952799420

[ "MIT" ]

null

gkutils/commonutils/getCSVColumnSubset.py

genghisken/gkutils

0c8aa06d813de72b1cd9cba11219a78952799420

[ "MIT" ]

1

2021-11-19T19:28:52.000Z

2021-11-19T19:29:57.000Z

gkutils/commonutils/getCSVColumnSubset.py

genghisken/gkutils

0c8aa06d813de72b1cd9cba11219a78952799420

[ "MIT" ]

null

"""Write a subset of keys from one CSV to another. Don't use lots of memory. Usage: %s <filename> <outputfile> [--columns=<columns>] [--htm] [--racol=<racol>] [--deccol=<deccol>] [--filtercol=<filtercol>] %s (-h | --help) %s --version Options: -h --help Show this screen. --version ...

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null

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9d35852cc4326c58c6eb53f1d5a84c6b35a5e6fb

1,006

py

Python

src/python/WMComponent/DBS3Buffer/MySQL/DBSBufferFiles/GetParentStatus.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

21

2015-11-19T16:18:45.000Z

2021-12-02T18:20:39.000Z

src/python/WMComponent/DBS3Buffer/MySQL/DBSBufferFiles/GetParentStatus.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

5,671

2015-01-06T14:38:52.000Z

2022-03-31T22:11:14.000Z

src/python/WMComponent/DBS3Buffer/MySQL/DBSBufferFiles/GetParentStatus.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

67

2015-01-21T15:55:38.000Z

2022-02-03T19:53:13.000Z

#!/usr/bin/env python """ _GetParentStatus_ MySQL implementation of DBSBufferFile.GetParentStatus """ from WMCore.Database.DBFormatter import DBFormatter class GetParentStatus(DBFormatter): sql = """SELECT status FROM dbsbuffer_file INNER JOIN dbsbuffer_file_parent ON dbsbuffer...

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0

null

0

null

0

1

0

9d3874299d6c36b60cba6fdb324222e4353364ea

481

py

Python

tests/test_actor.py

sdss/HAL

c7a2111f8737a498a124f5571d6f0e6b46e5c371

[ "BSD-3-Clause" ]

null

tests/test_actor.py

sdss/HAL

c7a2111f8737a498a124f5571d6f0e6b46e5c371

[ "BSD-3-Clause" ]

2

2022-01-14T04:50:58.000Z

2022-02-28T22:31:06.000Z

tests/test_actor.py

sdss/HAL

c7a2111f8737a498a124f5571d6f0e6b46e5c371

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # @Author: José Sánchez-Gallego (gallegoj@uw.edu) # @Date: 2021-03-24 # @Filename: test_hal.py # @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause) import pytest from hal import __version__ pytestmark = [pytest.mark.asyncio] async def test_vers...

20.913043

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null

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9d3a4036188d6088bc1ce4cfe8dfff01c0a9fdb1

490

py

Python

day_07/puzzles.py

electronsandstuff/Advent-of-Code-2021

9c23872640e8d092088dcb6d5cb845cd11d98994

[ "BSD-3-Clause" ]

null

day_07/puzzles.py

electronsandstuff/Advent-of-Code-2021

9c23872640e8d092088dcb6d5cb845cd11d98994

[ "BSD-3-Clause" ]

null

day_07/puzzles.py

electronsandstuff/Advent-of-Code-2021

9c23872640e8d092088dcb6d5cb845cd11d98994

[ "BSD-3-Clause" ]

null

import numpy as np def crab_fuel(n): return (n**2 + n) // 2 if __name__ == '__main__': with open('input.txt') as f: pin = np.array([int(x) for x in f.read().split(',')]) distances = np.abs(pin[None, :] - np.arange(pin.max() + 1)[:, None]) total_fuel = np.sum(distances, axis=1) print(f'S...

25.789474

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null

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null

0

1

0

9d3b2ee3ee8d1f5868d497f89b1766382405982d

16,114

py

Python

sampling.py

bigdata-inha/FedDC

c90c48fc7e35b6cb80890194c8cdfb0d412a0819

[ "MIT" ]

null

sampling.py

bigdata-inha/FedDC

c90c48fc7e35b6cb80890194c8cdfb0d412a0819

[ "MIT" ]

null

sampling.py

bigdata-inha/FedDC

c90c48fc7e35b6cb80890194c8cdfb0d412a0819

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Python version: 3.6 import numpy as np from torchvision import datasets, transforms import logging import random import torch # Settings for a multiplicative linear congruential generator (aka Lehmer # generator) suggested in 'Random Number Generators: Good # Ones ...

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null

0

null

0

1

0

9d3ca477c6b29581c9b909f6a0a67fb1fa79ccca

2,502

py

Python

codeforcesRating/codeforcesRating.py

gaurav512/Python-Scripts

46483ab09cccef380c8425d6924507e029745479

[ "MIT" ]

3

2020-05-23T14:31:35.000Z

2020-11-12T12:56:08.000Z

codeforcesRating/codeforcesRating.py

gaurav512/Python-Scripts

46483ab09cccef380c8425d6924507e029745479

[ "MIT" ]

null

codeforcesRating/codeforcesRating.py

gaurav512/Python-Scripts

46483ab09cccef380c8425d6924507e029745479

[ "MIT" ]

null

#! /usr/bin/python3 # Author: gaurav512 ''' Script written to scrape basic information about a Codeforces profile given the user id Usage: Enter the userid as command line argument OR as the input after running the following in terminal- python3 codeforces.py [userid] ''' import requests, bs4, sys def getDetails(u...

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0

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0

null

0

null

0

1

0

9d3f7a7d27e1b7136efc12dc236457c627b3164e

1,025

py

Python

ch09-linear_model/src/score_card.py

ahitboyZBW/book-ml-sem

73208e7e492c9cbe82c4aaa6459a41e3ac1317be

[ "MIT" ]

137

2020-10-26T11:11:46.000Z

2022-03-29T01:21:22.000Z

ch09-linear_model/src/score_card.py

zengzhongjie/book-ml-sem

5d452a427db5ee65538d968ba5b938af013bb87c

[ "MIT" ]

4

2021-01-18T08:57:04.000Z

2021-07-29T02:39:00.000Z

ch09-linear_model/src/score_card.py

zengzhongjie/book-ml-sem

5d452a427db5ee65538d968ba5b938af013bb87c

[ "MIT" ]

46

2020-10-26T11:11:57.000Z

2022-03-08T00:15:32.000Z

def cal_A_B(pdo=20, base_score=500, odds=1 / 50): B = pdo / np.log(2) A = base_score + B * np.log(odds) return A, B ''' parameter --------- df:变量的woe,要求与模型训练logit时的列顺序一样 logit：sklearn中的逻辑回归模型,带截距 return ------ 新增每行数据的评分列：Score example: df= cal_score(df,logit) ''' def cal_score_byadd(df, log...

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0.363636

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null

0

null

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1

0

9d41431a104dca3b80f9642ad172c2f1314cf033

3,790

py

Python

Tools/ecl_ekf/batch_process_logdata_ekf.py

lgarciaos/Firmware

26dba1407bd1fbc65c23870a22fed904afba6347

[ "BSD-3-Clause" ]

4,224

2015-01-02T11:51:02.000Z

2020-10-27T23:42:28.000Z

Tools/ecl_ekf/batch_process_logdata_ekf.py

choudhary0parivesh/Firmware

02f4ad61ec8eb4f7906dd06b4eb1fd6abb994244

[ "BSD-3-Clause" ]

11,736

2015-01-01T11:59:16.000Z

2020-10-28T17:13:38.000Z

Tools/ecl_ekf/batch_process_logdata_ekf.py

choudhary0parivesh/Firmware

02f4ad61ec8eb4f7906dd06b4eb1fd6abb994244

[ "BSD-3-Clause" ]

11,850

2015-01-02T14:54:47.000Z

2020-10-28T16:42:47.000Z

#! /usr/bin/env python3 """ Runs process_logdata_ekf.py on the .ulg files in the supplied directory. ulog files are skipped from the analysis, if a corresponding .pdf file already exists (unless the overwrite flag was set). """ # -*- coding: utf-8 -*- import argparse import os, glob from process_logdata_ekf import p...

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null

0

null

0

1

0

9d429d9ff49854612f73350299d50ebaeb16c00a

1,468

py

Python

goodok_mlu/trackers/neptune.py

roma-goodok/ml_utils

c1d6630021a519102b5c4e029cecccdd8a0da946

[ "MIT" ]

null

goodok_mlu/trackers/neptune.py

roma-goodok/ml_utils

c1d6630021a519102b5c4e029cecccdd8a0da946

[ "MIT" ]

null

goodok_mlu/trackers/neptune.py

roma-goodok/ml_utils

c1d6630021a519102b5c4e029cecccdd8a0da946

[ "MIT" ]

1

2021-03-29T13:15:02.000Z

import inspect import warnings from pathlib import Path def send_model_code(model, model_config, logdir, NEPTUNE_ON=False, exp=None): model_init = None model_forward = None model_config_s = None try: model_init = inspect.getsource(model.__init__) except Exception as e: warnings.war...

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0

0.184211

0

null

0

null

0

1

0

9d438aadf58244488ff98e5078d8104573590578

3,099

py

Python

pkgs/sdk-pkg/src/genie/libs/sdk/libs/abstracted_libs/iosxr/subsection.py

jbronikowski/genielibs

200a34e5fe4838a27b5a80d5973651b2e34ccafb

[ "Apache-2.0" ]

94

2018-04-30T20:29:15.000Z

2022-03-29T13:40:31.000Z

pkgs/sdk-pkg/src/genie/libs/sdk/libs/abstracted_libs/iosxr/subsection.py

jbronikowski/genielibs

200a34e5fe4838a27b5a80d5973651b2e34ccafb

[ "Apache-2.0" ]

67

2018-12-06T21:08:09.000Z

2022-03-29T18:00:46.000Z

pkgs/sdk-pkg/src/genie/libs/sdk/libs/abstracted_libs/iosxr/subsection.py

jbronikowski/genielibs

200a34e5fe4838a27b5a80d5973651b2e34ccafb

[ "Apache-2.0" ]

49

2018-06-29T18:59:03.000Z

2022-03-10T02:07:59.000Z

# Python import logging from os import path # Abstract from genie.abstract import Lookup # Parser from genie.libs import parser from genie.metaparser.util.exceptions import SchemaEmptyParserError # unicon from unicon.eal.dialogs import Statement, Dialog log = logging.getLogger(__name__) def save_device_informatio...

26.042017

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3,099

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118

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0

0.222222

0

null

0

null

0

1

0

9d4487b1ae1496a3f2089388dee11fd461798de0

2,933

py

Python

whisper_scalability/plot.py

Evalir/research

0128cdc7c3cecaad4cc057886fd84e79b78f6b9c

[ "MIT" ]

42

2019-08-03T18:04:47.000Z

2022-02-28T14:24:56.000Z

whisper_scalability/plot.py

Evalir/research

0128cdc7c3cecaad4cc057886fd84e79b78f6b9c

[ "MIT" ]

88

2019-10-03T23:11:12.000Z

2022-03-30T05:28:44.000Z

whisper_scalability/plot.py

Evalir/research

0128cdc7c3cecaad4cc057886fd84e79b78f6b9c

[ "MIT" ]

3

2019-09-03T17:19:39.000Z

2021-12-27T16:53:44.000Z

import matplotlib.pyplot as plt import numpy as np from labellines import labelLines # # Trying to get interpolation to work but getting error: # # ValueError: The number of derivatives at boundaries does not match: expected 1, got 0+0 # from scipy.interpolate import make_interp_spline, BSpline # n_users = np.array([1...

41.309859

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0.120536

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0

0.075

0

null

0

null

0

1

0

9d44910e8c82debe9ba07f0a00ed736a65d972a9

2,000

py

Python

polydomino/search.py

PsiACE/polydomino

ade7cdb303cb4073d8c075659a5494392d31f8b4

[ "MIT" ]

null

polydomino/search.py

PsiACE/polydomino

ade7cdb303cb4073d8c075659a5494392d31f8b4

[ "MIT" ]

null

polydomino/search.py

PsiACE/polydomino

ade7cdb303cb4073d8c075659a5494392d31f8b4

[ "MIT" ]

null

# import the necessary packages import argparse import cv2 import numpy as np from polydomino.colordescriptor import ColorDescriptor from polydomino.searcher import Searcher # construct the argument parser and parse the arguments ap = argparse.ArgumentParser() ap.add_argument( "-i", "--index", required=T...

30.30303

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0.078374

0.075472

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0.087083

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0

0.012382

0.152

2,000

65

88

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0

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1

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0

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0

0.092593

0.037037

0

null

0

null

0

1

0

9d451d7664d2140e40043248faa30a6b327e59ee

2,880

py

Python

optimism/test/testMinimizeScalar.py

btalamini/optimism

023e1b2a0b137900a7517e4c7ac5056255cf7bbe

[ "MIT" ]

null

optimism/test/testMinimizeScalar.py

btalamini/optimism

023e1b2a0b137900a7517e4c7ac5056255cf7bbe

[ "MIT" ]

1

2022-03-12T00:01:12.000Z

optimism/test/testMinimizeScalar.py

btalamini/optimism

023e1b2a0b137900a7517e4c7ac5056255cf7bbe

[ "MIT" ]

3

2021-12-23T19:53:31.000Z

2022-03-27T23:12:03.000Z

from optimism.JaxConfig import * from optimism import MinimizeScalar from optimism.test import TestFixture from optimism.material import J2Plastic def f(x): return 0.25*x**4 - 50.0*x**2 + 2.0 df = jacfwd(f) class TestMinimizeScalarFixture(TestFixture.TestFixture): def setUp(self): self.minimize_scalar_j...

34.698795

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0.515278

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2,880

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0.114743

0.450626

0.435327

0.346314

0.335188

0

0.065466

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82

96

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0.0625

0

null

0

null

0

1

0

9d46c2badf319d174f35513f77f2237bac4308e9

2,709

py

Python

anima/ui/review_dialog.py

MehmetErer/anima

f92ae599b5a4c181fc8e131a9ccdde537e635303

[ "MIT" ]

101

2015-02-08T22:20:11.000Z

2022-03-21T18:56:42.000Z

anima/ui/review_dialog.py

MehmetErer/anima

f92ae599b5a4c181fc8e131a9ccdde537e635303

[ "MIT" ]

23

2016-11-30T08:33:21.000Z

2021-01-26T12:11:12.000Z

anima/ui/review_dialog.py

MehmetErer/anima

f92ae599b5a4c181fc8e131a9ccdde537e635303

[ "MIT" ]

27

2015-01-03T06:49:45.000Z

2021-12-28T03:30:54.000Z

# -*- coding: utf-8 -*- """ import datetime from anima import defaults defaults.timing_resolution = datetime.timedelta(minutes=10) from anima.ui import SET_PYSIDE2 SET_PYSIDE2() from anima.ui.widgets.review import APPROVE, REQUEST_REVISION from anima.ui import review_dialog review_dialog.UI(review_type=REQUEST_REVIS...

29.769231

80

0.655592

316

2,709

5.474684

0.363924

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0.052601

0.019653

0.115607

0.034682

0

0.005467

0.257291

2,709

90

81

30.1

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0.282023

0

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1

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0

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0

0.227273

0

null

0

null

0

1

0

9d47cbe33f2156eddf7fcd553e506425ed8d1607

12,737

py

Python

squares/dsl/interpreter.py

Vivokas20/SKEL

d8766ceaa8aa766ea3580bbb61b747572ebfe77c

[ "Apache-2.0" ]

1

2022-01-20T14:57:30.000Z

squares/dsl/interpreter.py

Vivokas20/SKEL

d8766ceaa8aa766ea3580bbb61b747572ebfe77c

[ "Apache-2.0" ]

null

squares/dsl/interpreter.py

Vivokas20/SKEL

d8766ceaa8aa766ea3580bbb61b747572ebfe77c

[ "Apache-2.0" ]

null

import math import re from itertools import permutations from logging import getLogger from typing import Tuple, Union from rpy2 import robjects from rpy2.rinterface_lib.embedded import RRuntimeError from z3 import BitVecVal from .. import util, results from ..decider import RowNumberInfo from ..program import LineIn...

42.885522

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0.294606

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null

0

null

0

1

0

9d4857e094a5401228d6f2b6484e13982abb69b9

7,869

py

Python

src/data_preparation/process_airbnb_data.py

ejgenc/Data-Analysis_Istanbul-Health-Tourism

34b9838690ca640c6a7a60f63eb2f51983ec46ef

[ "MIT" ]

1

2020-11-18T15:27:53.000Z

src/data_preparation/process_airbnb_data.py

ejgenc/Data-Analysis_Istanbul-Health-Tourism

34b9838690ca640c6a7a60f63eb2f51983ec46ef

[ "MIT" ]

null

src/data_preparation/process_airbnb_data.py

ejgenc/Data-Analysis_Istanbul-Health-Tourism

34b9838690ca640c6a7a60f63eb2f51983ec46ef

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ ------ What is this file? ------ This script targets the istanbul_airbnb_raw.csv file. It cleans the .csv file in order to prepare it for further analysis """ #%% --- Import Required Packages --- import os import pathlib from pathlib import Path # To wrap around filepaths impor...

38.199029

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7,869

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null

0

null

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1

0

9d4ac45e3a86ef95dc9b84f578aa4f83f679c9b6

3,695

py

Python

py/shure.py

dman776/micboard

166987dfad529dc35654f402fdbbde7f16b60f77

[ "MIT" ]

44

2019-08-30T02:51:59.000Z

2022-03-15T13:47:18.000Z

py/shure.py

dman776/micboard

166987dfad529dc35654f402fdbbde7f16b60f77

[ "MIT" ]

21

2019-09-01T16:17:22.000Z

2022-02-01T15:47:55.000Z

py/shure.py

dman776/micboard

166987dfad529dc35654f402fdbbde7f16b60f77

[ "MIT" ]

16

2019-09-01T01:40:09.000Z

2022-03-15T17:12:28.000Z

import time import select import queue import atexit import sys import logging from networkdevice import ShureNetworkDevice from channel import chart_update_list, data_update_list # from mic import WirelessMic # from iem import IEM NetworkDevices = [] DeviceMessageQueue = queue.Queue() def get_network_device_by_ip(...

29.56

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3,695

4.511482

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0.285053

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0.197594

0.147617

0

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98

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0.183908

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1

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0

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0.011494

0

null

0

null

0

1

0

9d50b18aa63e6f3b4b6406ced31f91d878b8ae26

773

py

Python

e_vae_proj/qualitative/mnist/btcvae/gen_train.py

kuangdai/disentangling-vae

9a5f9da44a82a2c643b7289c4945320621b86247

[ "MIT" ]

1

2021-06-30T08:58:49.000Z

e_vae_proj/qualitative/mnist/btcvae/gen_train.py

kuangdai/disentangling-vae

9a5f9da44a82a2c643b7289c4945320621b86247

[ "MIT" ]

null

e_vae_proj/qualitative/mnist/btcvae/gen_train.py

kuangdai/disentangling-vae

9a5f9da44a82a2c643b7289c4945320621b86247

[ "MIT" ]

null

import numpy as np from pathlib import Path import sys if __name__ == '__main__': # absolute path my_path = Path(__file__).parent.resolve().expanduser() main_path = my_path.parent.parent seed = 0 nlat = 10 alpha = 1.0 beta = 6.0 gamma = 1.0 epochs = 100 # cmd...

28.62963

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26

108

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0.717431

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0

0.157895

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1

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0

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0

0.157895

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null

0

null

0

1

0

9d5197f8d1796538860fe2f3fb98a1af46c8ef38

3,331

py

Python

tests/test_load.py

tom3131/simfin

8ef5a2b0dd67ddcd3f8b92b5cd45c1a483eeada1

[ "MIT" ]

231

2019-09-25T13:30:00.000Z

2022-03-26T08:00:47.000Z

tests/test_load.py

tom3131/simfin

8ef5a2b0dd67ddcd3f8b92b5cd45c1a483eeada1

[ "MIT" ]

11

2019-10-01T14:50:15.000Z

2022-02-23T10:35:47.000Z

tests/test_load.py

tom3131/simfin

8ef5a2b0dd67ddcd3f8b92b5cd45c1a483eeada1

[ "MIT" ]

36

2019-09-30T16:14:48.000Z

2022-03-19T19:59:30.000Z

########################################################################## # # Unit tests (pytest) for load.py # ########################################################################## # SimFin - Simple financial data for Python. # www.simfin.com - www.github.com/simfin/simfin # See README.md for instructions and LI...

31.424528

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0

0.000723

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0

0.234043

0

null

0

null

0

1

0

9d556827bb836c6e6f6530ec156f0777935a5dea

1,514

py

Python

async_nbgrader/apps/exportapp.py

IllumiDesk/async_nbgrader

427e1b634277c043a1ed9f00bf7e417e0f611aca

[ "Apache-2.0" ]

2

2021-06-23T17:58:22.000Z

2021-09-27T10:00:01.000Z

async_nbgrader/apps/exportapp.py

IllumiDesk/async-nbgrader

427e1b634277c043a1ed9f00bf7e417e0f611aca

[ "Apache-2.0" ]

6

2021-06-17T21:40:24.000Z

2021-11-11T17:48:15.000Z

async_nbgrader/apps/exportapp.py

IllumiDesk/async-nbgrader

427e1b634277c043a1ed9f00bf7e417e0f611aca

[ "Apache-2.0" ]

2

2021-06-10T18:16:22.000Z

2021-06-17T02:52:45.000Z

# coding: utf-8 from nbgrader.api import Gradebook from nbgrader.apps import ExportApp as BaseExportApp from traitlets import Instance from traitlets import Type from traitlets import default from ..plugins import CanvasCsvExportPlugin from ..plugins import CustomExportPlugin aliases = { "log-level": "Applicatio...

27.527273

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0.421053

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null

0

null

0

1

0

9d5735cba5c6faf4bc0915b6d346541d85cbb4ac

15,960

py

Python

torsion/model/symmetry_function.py

hnlab/TorsionNet

e81ab624f1340765345b34240a049a8cc5f4d581

[ "MIT" ]

15

2021-01-15T01:54:26.000Z

2022-03-31T16:00:52.000Z

torsion/model/symmetry_function.py

hnlab/TorsionNet

e81ab624f1340765345b34240a049a8cc5f4d581

[ "MIT" ]

2

2021-07-21T22:42:09.000Z

2021-11-22T06:39:20.000Z

torsion/model/symmetry_function.py

hnlab/TorsionNet

e81ab624f1340765345b34240a049a8cc5f4d581

[ "MIT" ]

6

2021-01-16T04:07:17.000Z

2022-02-23T02:11:49.000Z

import math import numpy as np from openeye import oechem from torsion.inchi_keys import get_torsion_oeatom_list, get_torsion_oebond def GetPairwiseDistanceMatrix(icoords, jcoords): ''' input: two sets of coordinates, icoords, jcoords; each of which are a list of OEDoubleArray(3) containing x, y, a...

40.507614

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15,960

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0

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false

0

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0.003448

0

null

0

null

0

1

0

9d5757c4a8bf60547e9dd883852158e386888c4b

6,785

py

Python

recommendation/recommendation.py

Jackson-Y/Machine-Learning

ea0a8c65ce93501d51fad2d73300dc0a37e2c1d8

[ "MIT" ]

4

2017-08-17T02:11:45.000Z

2017-09-25T00:46:13.000Z

recommendation/recommendation.py

Jackson-Y/Machine-Learning

ea0a8c65ce93501d51fad2d73300dc0a37e2c1d8

[ "MIT" ]

null

recommendation/recommendation.py

Jackson-Y/Machine-Learning

ea0a8c65ce93501d51fad2d73300dc0a37e2c1d8

[ "MIT" ]

null

""" 候选生成（Candidate generation） & 排序（LTR， Learning to Ranking）""" # -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import sys import argparse from operator import itemgetter from math import sqrt import pandas as pd import py...

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9d59344dd6f980db538f0cd26f71a979f4b914e4

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py

Python

orchestration/dags/twitter_streaming.py

amommendes/tweetstream

ef09928a4f3344210c597388332d18a53149bb41

[ "Apache-2.0" ]

null

orchestration/dags/twitter_streaming.py

amommendes/tweetstream

ef09928a4f3344210c597388332d18a53149bb41

[ "Apache-2.0" ]

null

orchestration/dags/twitter_streaming.py

amommendes/tweetstream

ef09928a4f3344210c597388332d18a53149bb41

[ "Apache-2.0" ]

null

from datetime import timedelta from airflow import DAG from airflow.utils.dates import days_ago from airflow.operators.python_operator import PythonOperator from tweetstream.consumers.twitter_streaming import TwitterStreamingConsumer from tweetstream.clients.spark import SparkClient default_args = { "owner": "twee...

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null

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null

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9d5d5a4039dbeb89722961536cacebbce65b4ec3

1,059

py

Python

setup.py

fg1/ipynb_format

58dc276fca4f1fbb179d7e84ce41d59663d011c2

[ "BSD-3-Clause" ]

null

setup.py

fg1/ipynb_format

58dc276fca4f1fbb179d7e84ce41d59663d011c2

[ "BSD-3-Clause" ]

null

setup.py

fg1/ipynb_format

58dc276fca4f1fbb179d7e84ce41d59663d011c2

[ "BSD-3-Clause" ]

null

#!/usr/bin/python from setuptools import setup, find_packages from codecs import open with open('README.rst', 'r', 'utf-8') as fd: long_description = fd.read() setup(name='ipynb_format', version='0.1.1', description='A code formatter for python code in ipython notebooks', long_description=long_...

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null

0

null

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0

19b2caec75b18b0aa3e0597b5caa0b0c55ce8cad

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py

Python

gpss/transaction.py

martendo/gpss.py

52c6781bd8a65b651381ed11da9e31ddfae6e313

[ "MIT" ]

2

2021-11-28T08:48:02.000Z

2022-03-09T16:19:06.000Z

gpss/transaction.py

martendo/gpss.py

52c6781bd8a65b651381ed11da9e31ddfae6e313

[ "MIT" ]

null

gpss/transaction.py

martendo/gpss.py

52c6781bd8a65b651381ed11da9e31ddfae6e313

[ "MIT" ]

null

from .statement import Statement, StatementType from .event import Event from ._helpers import debugmsg, simulation_error class TransactionGenerator: def __init__(self, simulation, block_num, operands): self.simulation = simulation self.block = self.simulation.program[block_num] self.start_...

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0

null

0

1

0

19b3f6aeb28dd07d2770e4ea600d2a99c0c06e65

3,134

py

Python

train_video.py

jacke121/MBMD

2daf5edb4fb40ee652baead4f9332ca00fa111a5

[ "MIT" ]

220

2018-09-17T15:42:54.000Z

2021-09-13T13:14:22.000Z

train_video.py

jacke121/MBMD

2daf5edb4fb40ee652baead4f9332ca00fa111a5

[ "MIT" ]

12

2018-09-19T09:30:42.000Z

2019-07-01T04:03:51.000Z

train_video.py

jacke121/MBMD

2daf5edb4fb40ee652baead4f9332ca00fa111a5

[ "MIT" ]

60

2018-09-18T00:29:50.000Z

2021-02-22T03:55:19.000Z

import functools import tensorflow as tf from core import trainer_video, input_reader from core.model_builder import build_man_model from google.protobuf import text_format from object_detection.builders import input_reader_builder from object_detection.protos import input_reader_pb2 from object_detection.protos import...

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0

null

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19b7ef31e8ac32e464e2b7f9641c6ad98cd6de46

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py

Python

conf_dblp.py

AmiraKetfi/ScientificProductScraper

c700fb579ac47266e76ec834ccbd8674abeaff50

[ "MIT" ]

4

2018-04-04T12:10:59.000Z

2020-02-22T17:26:14.000Z

conf_dblp.py

AmiraKetfi/ScientificProductScraper

c700fb579ac47266e76ec834ccbd8674abeaff50

[ "MIT" ]

null

conf_dblp.py

AmiraKetfi/ScientificProductScraper

c700fb579ac47266e76ec834ccbd8674abeaff50

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Mar 17 23:01:40 2018 @author: pc """ import scholarly,re,urllib.request,nltk import bs4 as bs # ============================================================================= # #Probléme les derniere conf ne se rajoute pas # =======================================...

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19b8ce0aa97bf71df30c5a8e086263306534c4c7

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py

Python

src/robot.py

FROG3160/FRC2018-ARWING

6635274d79839ea92d8591af2c8e51f8e1112ec1

[ "MIT" ]

1

2019-01-15T00:47:16.000Z

src/robot.py

FROG3160/FRC2018-ARWING

6635274d79839ea92d8591af2c8e51f8e1112ec1

[ "MIT" ]

18

2018-02-15T01:07:03.000Z

2018-04-10T00:25:59.000Z

src/robot.py

FROG3160/FRC2018-ARWING

6635274d79839ea92d8591af2c8e51f8e1112ec1

[ "MIT" ]

4

2018-01-31T01:53:44.000Z

2018-02-16T00:30:14.000Z

#!/usr/bin/env python3 """ Main code for Robot """ import wpilib import robotmap from wpilib import Joystick from subsystems.drivetrain import DriveTrain as Drive from subsystems.grabber import cubeGrabber from subsystems.elevator import Elevator from subsystems.climber import Climber from subsystems.autonomous import...

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null

0

null

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0

19b94d7c9d394f09ecf7228b67004f998dd55522

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py

Python

api/attomized_avm.py

johncoleman83/attom_python_client

2fad572162f481a71cccf6003da4cbd8ec4477d4

[ "MIT" ]

null

api/attomized_avm.py

johncoleman83/attom_python_client

2fad572162f481a71cccf6003da4cbd8ec4477d4

[ "MIT" ]

null

api/attomized_avm.py

johncoleman83/attom_python_client

2fad572162f481a71cccf6003da4cbd8ec4477d4

[ "MIT" ]

1

2020-11-20T19:28:36.000Z

#!/usr/bin/env python3 """ ATTOM API https://api.developer.attomdata.com """ import requests from urllib.parse import quote, urlencode from api import api PATH = "attomavm/detail" def get_avm_by_address(number_street, city_state): """ API request to get attomavm/detail """ params = urlencode( { "add...

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null

0

null

0

1

0

19b9c7cf12ec5b8b173b1bc2764d7bfc2577385f

7,064

py

Python

idmap/models.py

tkhyn/django-idmap

383124fc4bd537d053f9d4c0d02a498f66831baa

[ "BSD-2-Clause" ]

1

2021-04-24T16:35:15.000Z

idmap/models.py

tkhyn/django-idmap

383124fc4bd537d053f9d4c0d02a498f66831baa

[ "BSD-2-Clause" ]

null

idmap/models.py

tkhyn/django-idmap

383124fc4bd537d053f9d4c0d02a498f66831baa

[ "BSD-2-Clause" ]

1

2021-02-27T14:45:48.000Z

import django from django.db import models from django.db.models.base import ModelBase from django.utils import six from .manager import IdMapManager from . import tls # thread local storage META_VALUES = { 'use_strong_refs': False, 'multi_db': False } class IdMapModelBase(ModelBase): def __new__(mc...

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null

0

null

0

1

0

19bd0b651a92c3989a6dcd3e14655ea86b1f4a83

2,501

py

Python

pyrfu/pyrf/ts_skymap.py

ablotekar/irfu-python

740cb51ca9ce2ab0d62cb6fef3a7a722d430d79e

[ "MIT" ]

2

2020-11-27T11:35:42.000Z

2021-07-17T11:08:10.000Z

pyrfu/pyrf/ts_skymap.py

ablotekar/irfu-python

740cb51ca9ce2ab0d62cb6fef3a7a722d430d79e

[ "MIT" ]

1

2021-12-04T07:55:48.000Z

2021-12-10T12:45:27.000Z

pyrfu/pyrf/ts_skymap.py

ablotekar/irfu-python

740cb51ca9ce2ab0d62cb6fef3a7a722d430d79e

[ "MIT" ]

2

2021-07-17T11:08:12.000Z

2021-07-18T18:41:42.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # 3rd party imports import numpy as np import xarray as xr __author__ = "Louis Richard" __email__ = "louisr@irfu.se" __copyright__ = "Copyright 2020-2021" __license__ = "MIT" __version__ = "2.3.7" __status__ = "Prototype" def ts_skymap(time, data, energy, phi, theta, **...

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null

0

null

0

1

0

19be0f2de874f8b441c89b5d8fd8cac69393789a

2,037

py

Python

src/log_utils.py

alexklwong/calibrated-backprojection-network

57dbec03c6da94ee0cd020b6de5f02e7e8ee726e

[ "Intel" ]

38

2021-08-28T06:01:25.000Z

2022-03-03T03:23:23.000Z

src/log_utils.py

alexklwong/calibrated-backprojection-network

57dbec03c6da94ee0cd020b6de5f02e7e8ee726e

[ "Intel" ]

14

2021-11-15T12:30:34.000Z

2022-03-30T14:03:16.000Z

src/log_utils.py

alexklwong/calibrated-backprojection-network

57dbec03c6da94ee0cd020b6de5f02e7e8ee726e

[ "Intel" ]

9

2021-10-19T23:45:07.000Z

2021-12-20T07:45:37.000Z

''' Author: Alex Wong <alexw@cs.ucla.edu> If you use this code, please cite the following paper: A. Wong, and S. Soatto. Unsupervised Depth Completion with Calibrated Backprojection Layers. https://arxiv.org/pdf/2108.10531.pdf @inproceedings{wong2021unsupervised, title={Unsupervised Depth Completion with Calibrate...

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0

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0.259259

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null

0

null

0

1

0

19c214d222aa500c556609e883b1ff02ba286869

788

py

Python

add-two-numbers/add-two-numbers.py

shaurya-src/code-leet

f642b81eb7bead46c66404bd48ca74bdfeb2abbb

[ "MIT" ]

null

add-two-numbers/add-two-numbers.py

shaurya-src/code-leet

f642b81eb7bead46c66404bd48ca74bdfeb2abbb

[ "MIT" ]

null

add-two-numbers/add-two-numbers.py

shaurya-src/code-leet

f642b81eb7bead46c66404bd48ca74bdfeb2abbb

[ "MIT" ]

null

# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def addTwoNumbers(self, l1: Optional[ListNode], l2: Optional[ListNode]) -> Optional[ListNode]: a = self.get_num(l1) b = self.get_num(...

28.142857

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0.285714

0

null

0

null

0

1

0

19c251bd8c7eb79b25c470c6951dca0f932a8918

2,834

py

Python

likedtweets.py

PoliTwit1984/Politwitverse

837dd2d05b3977aa24a70f52a3b951ef22c51dc6

[ "MIT" ]

3

2022-01-05T07:12:14.000Z

2022-02-19T20:58:25.000Z

likedtweets.py

PoliTwit1984/Politwitverse

837dd2d05b3977aa24a70f52a3b951ef22c51dc6

[ "MIT" ]

25

2022-01-05T08:23:59.000Z

2022-02-07T01:25:39.000Z

likedtweets.py

PoliTwit1984/Politwitverse

837dd2d05b3977aa24a70f52a3b951ef22c51dc6

[ "MIT" ]

1

2022-02-01T22:39:57.000Z

import time import re import tweepy import preprocessor as p import config import string consumer_key = config.consumer_key consumer_secret = config.consumer_secret access_token = config.access_token access_token_secret = config.access_token_secret bearer_token = config.bearer_token username = config.username password...

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0

null

0

null

0

1

0

19c43d42b7108f348940b9fd8fc9fb33a8830e2c

2,112

py

Python

audclass.py

theunafraid/audiofeedback-prevention

0dd3e8ab7b5a65aff214e74b7bd7869366b1b7b5

[ "Apache-2.0" ]

1

2022-01-20T08:30:20.000Z

audclass.py

theunafraid/audiofeedback-prevention

0dd3e8ab7b5a65aff214e74b7bd7869366b1b7b5

[ "Apache-2.0" ]

null

audclass.py

theunafraid/audiofeedback-prevention

0dd3e8ab7b5a65aff214e74b7bd7869366b1b7b5

[ "Apache-2.0" ]

null

import tensorflow as tf import numpy as np from tensorflow.python.ops.gen_batch_ops import batch from model import AudioClass from qrnn import QRNN from numpy.random import seed from numpy.random import randn from random import randint from lstmfcn import LSTM_FCN import librosa import os def getData(): outX = [] ...

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0.071429

0

null

0

null

0

1

0

19c79aebe6cccec71cf534b0497f44d1a8496883

4,127

py

Python

python_implementation/matriz/quadrada.py

SousaPedro11/algoritmos

86a3601912778d120b9ec8094267c26a7eb6d153

[ "MIT" ]

null

python_implementation/matriz/quadrada.py

SousaPedro11/algoritmos

86a3601912778d120b9ec8094267c26a7eb6d153

[ "MIT" ]

null

python_implementation/matriz/quadrada.py

SousaPedro11/algoritmos

86a3601912778d120b9ec8094267c26a7eb6d153

[ "MIT" ]

null

import math from typing import List, Tuple def __cria_matriz_quadrada(tamanho: int = 20) -> List[List[str]]: matriz = [] for _ in range(tamanho): linha = ['0' for _ in range(tamanho)] matriz.append(linha) return matriz def __diagonais(matriz: List[List[str]]) -> Tuple[list, list]: t...

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0.1

0

null

0

null

0

1

0

19c9e0f683fb12bcf45633873b78ecba612bb09f

7,399

py

Python

theseus/util/serialize.py

shiplift/theseus

9324d67e6e0c6b93a7734a5531838c5a909a1424

[ "0BSD" ]

null

theseus/util/serialize.py

shiplift/theseus

9324d67e6e0c6b93a7734a5531838c5a909a1424

[ "0BSD" ]

null

theseus/util/serialize.py

shiplift/theseus

9324d67e6e0c6b93a7734a5531838c5a909a1424

[ "0BSD" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ serialize provide means to persist and recreate the currently known set of W_Tags and all shapes and transformations reachable from there. The rmarshal modules is used for serialization; the format is marshal_proto = ( int, # number of shapes [ # shape list ...

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1

0

19cc7f391c49230cd25af4f7949e261ca27ffe2b

1,359

py

Python

external_scripts/run2.py

AAS97/tokenizRE

0186a2b533edaa0045b16b0b111b9637248e5046

[ "MIT" ]

null

external_scripts/run2.py

AAS97/tokenizRE

0186a2b533edaa0045b16b0b111b9637248e5046

[ "MIT" ]

null

external_scripts/run2.py

AAS97/tokenizRE

0186a2b533edaa0045b16b0b111b9637248e5046

[ "MIT" ]

null

from web3 import Web3, HTTPProvider import json import os w3 = Web3(HTTPProvider("http://127.0.0.1:7545", request_kwargs={'timeout': 60})) print(f"Web3 is connected : {w3.isConnected()}") accounts = w3.eth.accounts # ------------------------------- get contract ------------------------------- ...

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null

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null

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1

0

19d4df790639614b567c8829dbce219210c26642

585

py

Python

src/weekly-reset.py

SlimeeGameS/VirginityBot

a1745893f21a16112bbf775fb2aff199c14dbbbb

[ "CC0-1.0" ]

null

src/weekly-reset.py

SlimeeGameS/VirginityBot

a1745893f21a16112bbf775fb2aff199c14dbbbb

[ "CC0-1.0" ]

14

2020-03-26T01:02:31.000Z

2021-03-24T23:48:44.000Z

src/weekly-reset.py

SlimeeGameS/VirginityBot

a1745893f21a16112bbf775fb2aff199c14dbbbb

[ "CC0-1.0" ]

2

2020-08-09T19:08:41.000Z

2021-05-12T17:44:28.000Z

import os import asyncio import logging from pony.orm import * import logger from database import start_orm, get_biggest_virgin, Guild, Virgin logger = logging.getLogger('virginity-bot') async def reset_weekly_virginity(): with db_session: virgins = Virgin.select() for virgin in virgins: virgin.tot...

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0.729915

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585

5.101266

0.56962

0.039702

0.099256

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0.004167

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0

0.285714

0

null

0

null

0

1

0

19d525875da360fb20fb2929a08fff78176398d0

1,165

py

Python

hardhat/recipes/racket.py

stangelandcl/hardhat

1ad0c5dec16728c0243023acb9594f435ef18f9c

[ "MIT" ]

null

hardhat/recipes/racket.py

stangelandcl/hardhat

1ad0c5dec16728c0243023acb9594f435ef18f9c

[ "MIT" ]

null

hardhat/recipes/racket.py

stangelandcl/hardhat

1ad0c5dec16728c0243023acb9594f435ef18f9c

[ "MIT" ]

null

import os import shutil from .base import GnuRecipe class RacketRecipe(GnuRecipe): def __init__(self, *args, **kwargs): super(RacketRecipe, self).__init__(*args, **kwargs) self.sha256 = 'bf2bce50b02c626666a8d2093638893e' \ '8beb8b2a19cdd43efa151a686c88edcf' self.depe...

31.486486

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5.325203

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0.064122

0.042748

0

0.053828

0.282403

1,165

36

74

32.361111

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0

0.107143

0

0.25

0

null

0

null

0

1

0

19d5619a8ce652fe7933c1843f9585227eb325de

3,257

py

Python

lichess-gist.py

swimmy4days/lichess-gist

b70e605345f789e032291253df506384ccbaa270

[ "MIT" ]

null

lichess-gist.py

swimmy4days/lichess-gist

b70e605345f789e032291253df506384ccbaa270

[ "MIT" ]

null

lichess-gist.py

swimmy4days/lichess-gist

b70e605345f789e032291253df506384ccbaa270

[ "MIT" ]

null

import os import sys import berserk from github import Github, InputFileContent, Gist SEPARATOR = "." PADDING = {"puzzle": 0, "crazyhouse": 0, "chess960": 0, "kingOfTheHill": 0, "threeCheck": 2, "antichess": 0, "atomic": 0, "horde": 0, "racingKings": 0, "ultraBullet": 0, "blitz": 1, "classical"...

31.317308

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0.612834

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3,257

4.379863

0.299771

0.065831

0.036573

0.043887

0.178161

0.164577

0.087252

0.052247

0

0.016315

0.228431

3,257

103

119

31.621359

0.735774

0.027326

0

0.147598

0

1

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false

0

0.054054

0

0.216216

0.027027

0

null

0

null

0

1

0

19d5e02630a84a1866bbfe9f9deb571cc98a96cc

951

py

Python

alembic/versions/60c735df8d2f_.py

brouberol/grand-cedre

05f18d1f8b7253ffa7fb5b33b30ceadcc93c4e93

[ "BSD-3-Clause" ]

null

alembic/versions/60c735df8d2f_.py

brouberol/grand-cedre

05f18d1f8b7253ffa7fb5b33b30ceadcc93c4e93

[ "BSD-3-Clause" ]

22

2019-09-03T20:08:42.000Z

2022-03-11T23:58:02.000Z

alembic/versions/60c735df8d2f_.py

brouberol/grand-cedre

05f18d1f8b7253ffa7fb5b33b30ceadcc93c4e93

[ "BSD-3-Clause" ]

null

"""empty message Revision ID: 60c735df8d2f Revises: 88bb7e12da60 Create Date: 2019-09-06 08:27:03.082097 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = "60c735df8d2f" down_revision = "88bb7e12da60" branch_labels = None depends_on = None def upgrade(): # ...

27.171429

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951

5.333333

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0.13125

0.051563

0.089063

0.442188

0.298438

0.259375

0

0.060377

0.164038

951

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0

0.25

0

null

0

null

0

1

0

19d5e29e652c7abc55afdd0fed0c5112571018a1

3,640

py

Python

python/genre_classifier.py

nscharrenberg/Aliran

628de0476b8f8b413a6fdddf5392c590e8b27654

[ "MIT" ]

null

python/genre_classifier.py

nscharrenberg/Aliran

628de0476b8f8b413a6fdddf5392c590e8b27654

[ "MIT" ]

null

python/genre_classifier.py

nscharrenberg/Aliran

628de0476b8f8b413a6fdddf5392c590e8b27654

[ "MIT" ]

null

import scipy.io.wavfile as wav import numpy as np import os import pickle import random import operator from python_speech_features import mfcc dataset = [] training_set = [] test_set = [] # Get the distance between feature vectors def distance(instance1, instance2, k): mm1 = instance1[0] cm1 = instance1[1] ...

26.376812

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3,640

4.617021

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0.025346

0.059908

0

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0.267857

3,640

137

103

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0.175258

0.092784

0

null

0

null

0

1

0

19d94ed3daa7c3c452d53a4b890d6a26c3139991

1,653

py

Python

run.py

dkosilov/reconciler_anchor_salesforce

5cf6a8ccaedce84e7dab6c32955c644ede0c6e07

[ "Xnet", "X11" ]

1

2020-09-22T11:49:07.000Z

run.py

dkosilov/reconciler_anchor_salesforce

5cf6a8ccaedce84e7dab6c32955c644ede0c6e07

[ "Xnet", "X11" ]

null

run.py

dkosilov/reconciler_anchor_salesforce

5cf6a8ccaedce84e7dab6c32955c644ede0c6e07

[ "Xnet", "X11" ]

null

import argparse from libs.data_model import AnchorNorthstarDataframe, SalesForceDataframe, \ AnchorSalesforceAccountsDataframe, AnchorSalesforceContactsDataframe from libs.utils import save_dataframes_to_excel parser = argparse.ArgumentParser(description='Reconcile accounts and contacts between Anchor and Salesfo...

57

120

0.754991

193

1,653

6.295337

0.393782

0.037037

0.069959

0.046091

0.153086

0.103704

0

0.004979

0.149425

1,653

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0.021792

0

1

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0.142857

0

0.142857

0

null

0

null

0

1

0

19db3143b0967735343ec7fb40012d028a989ea5

1,650

py

Python

billrelease.py

arby36/BillAi

e5c10c35279a1669d218439671e03bc17acb7fdc

[ "MIT" ]

null

billrelease.py

arby36/BillAi

e5c10c35279a1669d218439671e03bc17acb7fdc

[ "MIT" ]

null

billrelease.py

arby36/BillAi

e5c10c35279a1669d218439671e03bc17acb7fdc

[ "MIT" ]

null

def bill(): print("I am bill, please input your name") name = str(raw_input()) print("Hi %s" % name) print("Now input a command") a = raw_input("Command line:") a = a.lower() if a == "": print("You inputed nothing") bill() if a == "help": print("The commands in m...

27.966102

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3.878378

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0.065041

0.04878

0.078978

0.361208

0.253194

0.199768

0.097561

0

0.006381

0.335152

1,650

59

140

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0

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0

0.04

0.36

0

null

0

null

0

1

0

19e36b29ee592d089dc07f0b81f9a1312e103cce

34,894

py

Python

sw/EdgeBERT/transformers/src/transformers/modeling_highway_albert.py

yihuajack/EdgeBERT

a51ae7557187e3251f4b11bc13ef9cbd336019ff

[ "Apache-2.0" ]

8

2021-11-01T01:38:04.000Z

2022-03-20T16:03:39.000Z

sw/EdgeBERT/transformers/src/transformers/modeling_highway_albert.py

yihuajack/EdgeBERT

a51ae7557187e3251f4b11bc13ef9cbd336019ff

[ "Apache-2.0" ]

1

2021-11-19T08:04:02.000Z

2021-12-19T07:21:48.000Z

sw/EdgeBERT/transformers/src/transformers/modeling_highway_albert.py

yihuajack/EdgeBERT

a51ae7557187e3251f4b11bc13ef9cbd336019ff

[ "Apache-2.0" ]

5

2021-11-19T07:52:44.000Z

2022-02-10T08:23:19.000Z

import torch from torch import nn from torch.nn import CrossEntropyLoss, MSELoss from .modeling_albert import AlbertPreTrainedModel, AlbertLayerNorm, AlbertLayerGroup from .modeling_bert import BertEmbeddings from .modeling_highway_bert import BertPooler import numpy as np def entropy(x): # x: torch.Tensor, logi...

46.963661

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4,064

34,894

5.010581

0.103839

0.022394

0.012523

0.012375

0.590876

0.546727

0.521976

0.500221

0.452291

0.430192

0

0.007855

0.303175

34,894

742

149

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0.348943

0

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0

0.00553

0

1

0.044601

false

0

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0.002347

0.093897

0.002347

0

null

0

null

0

1

0

19e3c7e8cb0d8e13048dc4a21c8f8d2b1867724a

1,809

py

Python

tests/test_sar.py

chris-angeli-rft/cloud-custodian

5ff331b114a591dbaf6d672e30ceefb7ae64a5dd

[ "Apache-2.0" ]

8

2021-05-18T02:22:03.000Z

2021-09-11T02:49:04.000Z

tests/test_sar.py

chris-angeli-rft/cloud-custodian

5ff331b114a591dbaf6d672e30ceefb7ae64a5dd

[ "Apache-2.0" ]

1

2021-04-26T04:38:35.000Z

tests/test_sar.py

chris-angeli-rft/cloud-custodian

5ff331b114a591dbaf6d672e30ceefb7ae64a5dd

[ "Apache-2.0" ]

1

2021-11-10T02:28:47.000Z

# Copyright 2020 Kapil Thangavelu # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...

35.470588

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