xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

f5d40b58d32d09631a74deab03cacd263794a4ed

3,204

py

Python

look-for.py

barnesrobert/find-aws-resource-in-all-accounts

5f02aacca3ce3a28894d7d497c4158ed9b08c238

[ "Apache-2.0" ]

null

look-for.py

barnesrobert/find-aws-resource-in-all-accounts

5f02aacca3ce3a28894d7d497c4158ed9b08c238

[ "Apache-2.0" ]

null

look-for.py

barnesrobert/find-aws-resource-in-all-accounts

5f02aacca3ce3a28894d7d497c4158ed9b08c238

[ "Apache-2.0" ]

null

#-------------------------------------------------------------------------------------------------- # Function: look-for # Purpose: Loops through all AWS accounts and regions within an Organization to find a specific resource # Inputs: # # { # "view_only": "true|false", # "regions": ["us-east-1", ...] # } #...

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null

0

null

0

1

0

f5d6cff69b0e62527106143d8be0c05d4bcd4fe7

2,972

py

Python

opennem/spiders/aemo/monitoring.py

paulculmsee/opennem

9ebe4ab6d3b97bdeebc352e075bbd5c22a8ddea1

[ "MIT" ]

22

2020-06-30T05:27:21.000Z

2022-02-21T12:13:51.000Z

opennem/spiders/aemo/monitoring.py

paulculmsee/opennem

9ebe4ab6d3b97bdeebc352e075bbd5c22a8ddea1

[ "MIT" ]

71

2020-08-07T13:06:30.000Z

2022-03-15T06:44:49.000Z

opennem/spiders/aemo/monitoring.py

paulculmsee/opennem

9ebe4ab6d3b97bdeebc352e075bbd5c22a8ddea1

[ "MIT" ]

13

2020-06-30T03:28:32.000Z

2021-12-30T08:17:16.000Z

import logging from typing import Any, Dict from pydantic import ValidationError from scrapy import Spider from scrapy.http import Response from opennem.pipelines.aemo.downloads import DownloadMonitorPipeline from opennem.schema.aemo.downloads import AEMOFileDownloadSection from opennem.utils.dates import parse_date ...

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null

0

null

0

1

0

f5d87e21f9ec6f8ae018914ba1e9c0e382bc83dd

319

py

Python

python/13/servo.py

matsujirushi/raspi_parts_kouryaku

35cd6f34d21c5e3160636671175fa8d5aff2d4dc

[ "Apache-2.0" ]

6

2022-03-05T02:36:57.000Z

2022-03-12T12:31:27.000Z

python/13/servo.py

matsujirushi/raspi_parts_kouryaku

35cd6f34d21c5e3160636671175fa8d5aff2d4dc

[ "Apache-2.0" ]

null

python/13/servo.py

matsujirushi/raspi_parts_kouryaku

35cd6f34d21c5e3160636671175fa8d5aff2d4dc

[ "Apache-2.0" ]

null

import wiringpi as pi pi.wiringPiSetupGpio() pi.pinMode(18, pi.PWM_OUTPUT) pi.pwmSetMode(pi.PWM_MODE_MS) pi.pwmSetClock(2) pi.pwmSetRange(192000) while True: for i in list(range(-90, 90, 10)) + list(range(90, -90, -10)): pi.pwmWrite(18, int(((i + 90) / 180 * (2.4 - 0.5) + 0.5) / 20 * 192000)) pi.delay(200)

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f5d9d9ea4f3e787d1de8f24aa36d4dcbede900ec

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py

Python

src/vswarm/object_detection/blob_detector.py

Faust-Wang/vswarm

d18ce643218c18ef1e762f40562104b2a0926ad7

[ "MIT" ]

21

2021-03-03T10:51:46.000Z

2022-03-28T11:00:35.000Z

src/vswarm/object_detection/blob_detector.py

Faust-Wang/vswarm

d18ce643218c18ef1e762f40562104b2a0926ad7

[ "MIT" ]

2

2021-07-21T07:57:16.000Z

2022-03-17T12:41:51.000Z

src/vswarm/object_detection/blob_detector.py

hvourtsis/vswarm

d18ce643218c18ef1e762f40562104b2a0926ad7

[ "MIT" ]

8

2021-02-27T14:29:55.000Z

2022-01-05T19:40:38.000Z

import cv2 as cv from geometry_msgs.msg import Pose2D from vision_msgs.msg import (BoundingBox2D, Detection2D, Detection2DArray, ObjectHypothesisWithPose) THRESHOLD_MAX = 255 THRESHOLD = 240 class BlobDetector: def __init__(self): pass def detect_multi(self, images): ...

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null

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null

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f5dedc85895871ad1a7086cfc4fa5d80500516b2

7,557

py

Python

bibref_parser/parser.py

glooney/python-bibref-parser

9ca6b99a917659425fe7b4759f523c78f0180124

[ "MIT" ]

null

bibref_parser/parser.py

glooney/python-bibref-parser

9ca6b99a917659425fe7b4759f523c78f0180124

[ "MIT" ]

null

bibref_parser/parser.py

glooney/python-bibref-parser

9ca6b99a917659425fe7b4759f523c78f0180124

[ "MIT" ]

null

import re class BibRefParser: def __init__(self): self.reset() def reset(self, reference=''): self._ref = reference self.reference = reference self.title = '' self.authors = '' # publication date self.date = '' self.publisher = '' self...

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0

null

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null

0

1

0

f5e2b3958e10bba2c1126d9063cd6d9ca99a6bc2

1,217

py

Python

kernellib/utils/visualization.py

jejjohnson/kernellib

eb9f80c1b605c8a6b5e8a324efd4ef07d8f59050

[ "MIT" ]

1

2021-02-04T08:52:04.000Z

kernellib/utils/visualization.py

jejjohnson/kernellib

eb9f80c1b605c8a6b5e8a324efd4ef07d8f59050

[ "MIT" ]

null

kernellib/utils/visualization.py

jejjohnson/kernellib

eb9f80c1b605c8a6b5e8a324efd4ef07d8f59050

[ "MIT" ]

1

2018-04-17T06:42:09.000Z

import matplotlib.pyplot as plt def plot_gp(xtest, predictions, std=None, xtrain=None, ytrain=None, title=None, save_name=None): xtest, predictions = xtest.squeeze(), predictions.squeeze() fig, ax = plt.subplots() # Plot the training data if (xtrain is not None) and (ytrain is not None): ...

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null

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null

0

1

0

f5e5cd56b7a8f566083c50626d4a1f1f2165bd63

2,284

py

Python

noxutils.py

sphinx-contrib/zopeext

b749d0023f4fb8b8eea3a8f3216f63397c6272de

[ "BSD-2-Clause" ]

1

2020-03-16T07:20:58.000Z

noxutils.py

sphinx-contrib/zopeext

b749d0023f4fb8b8eea3a8f3216f63397c6272de

[ "BSD-2-Clause" ]

3

2021-12-19T09:39:45.000Z

2022-01-06T05:05:03.000Z

noxutils.py

sphinx-contrib/zopeext

b749d0023f4fb8b8eea3a8f3216f63397c6272de

[ "BSD-2-Clause" ]

null

""" From https://github.com/brechtm/rinohtype/blob/master/noxutil.py https://github.com/cjolowicz/nox-poetry/discussions/289 """ import json from collections.abc import Iterable from pathlib import Path from typing import Optional from urllib.request import urlopen, Request from poetry.core.factory import Factory f...

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null

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0

f5e6d7bb0bd30f9540f1c0b749f54516092b6ca3

3,806

py

Python

nodes/centered_mocap_and_tag_rebroadcaster.py

rislab/apriltag_tracker

41c4deb4b5bcd94e5f666f3d4b1f1d141c705582

[ "BSD-3-Clause" ]

null

nodes/centered_mocap_and_tag_rebroadcaster.py

rislab/apriltag_tracker

41c4deb4b5bcd94e5f666f3d4b1f1d141c705582

[ "BSD-3-Clause" ]

null

nodes/centered_mocap_and_tag_rebroadcaster.py

rislab/apriltag_tracker

41c4deb4b5bcd94e5f666f3d4b1f1d141c705582

[ "BSD-3-Clause" ]

1

2019-02-18T00:40:20.000Z

#!/usr/bin/env python2.7 from __future__ import division import roslib import rospy import tf from nav_msgs.msg import Odometry from nav_msgs.msg import Path from geometry_msgs.msg import PoseStamped import numpy as np import pdb from message_filters import Subscriber, ApproximateTimeSynchronizer class GT_cleaner: ...

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null

0

null

0

1

0

f5e74389c152886253bc86c73ff3f6d23bab1e6e

3,266

py

Python

garage.py

DidymusRex/garage-pi

4f4dcc0251f8cb5f5150ddaff7dac01a64eac948

[ "CC0-1.0" ]

null

garage.py

DidymusRex/garage-pi

4f4dcc0251f8cb5f5150ddaff7dac01a64eac948

[ "CC0-1.0" ]

null

garage.py

DidymusRex/garage-pi

4f4dcc0251f8cb5f5150ddaff7dac01a64eac948

[ "CC0-1.0" ]

null

from datetime import datetime from gpiozero import DistanceSensor from garage_door import garage_door from garage_camera import garage_camera import MQTT_Config import paho.mqtt.client as mqtt from temp_sensor import temp_sensor from time import sleep """ GPIO pin assignments: relays range finder sensor (echo...

26.33871

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null

0

null

0

1

0

f5e7ef3d480cf9bb53271fcd48200dc95c179ef9

5,887

py

Python

app.py

leemengtaiwan/gist-evernote

90d8573870ded37dc82575ba25968d7a06efe219

[ "MIT" ]

35

2018-01-29T00:50:36.000Z

2021-04-04T13:59:26.000Z

app.py

leemengtaiwan/gist-evernote

90d8573870ded37dc82575ba25968d7a06efe219

[ "MIT" ]

5

2021-02-08T20:18:24.000Z

2022-03-11T23:15:12.000Z

app.py

leemengtaiwan/gist-evernote

90d8573870ded37dc82575ba25968d7a06efe219

[ "MIT" ]

4

2018-02-06T12:13:09.000Z

2019-12-20T09:12:41.000Z

# encoding: utf-8 import os import time from multiprocessing import Pool, cpu_count from selenium import webdriver from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.common.exceptions import T...

31.821622

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0.012582

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0

0.004837

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false

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0.077778

0

null

0

null

0

1

0

f5e81680dbe98070292ce77eaa7479aa8b7e1630

326

py

Python

python-leetcode/350.py

MDGSF/interviews

9faa9aacdb0cfbb777d4d3d4d1b14b55ca2c9f76

[ "MIT" ]

12

2020-01-16T08:55:27.000Z

2021-12-02T14:52:39.000Z

python-leetcode/350.py

MDGSF/interviews

9faa9aacdb0cfbb777d4d3d4d1b14b55ca2c9f76

[ "MIT" ]

null

python-leetcode/350.py

MDGSF/interviews

9faa9aacdb0cfbb777d4d3d4d1b14b55ca2c9f76

[ "MIT" ]

1

2019-12-11T12:00:38.000Z

import collections class Solution: def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]: m = collections.Counter(nums1) result = [] for num in nums2: if num in m: result.append(num) if m[num] == 1: del m[num] else: m[num] -= 1 return r...

21.733333

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0

0.307692

0

null

0

null

0

1

0

f5edd88e2d458d89d6714005f92ae5a2d900050e

564

py

Python

polls/urls.py

SkyFlame00/webpolls

d137da1aaaa8af78520af7762b8002428842d617

[ "MIT" ]

null

polls/urls.py

SkyFlame00/webpolls

d137da1aaaa8af78520af7762b8002428842d617

[ "MIT" ]

null

polls/urls.py

SkyFlame00/webpolls

d137da1aaaa8af78520af7762b8002428842d617

[ "MIT" ]

null

from django.urls import path from django.conf.urls import url from . import views urlpatterns = [ path('', views.index, name='index'), path('logout/', views.logoutView, name='logout'), path('signup/', views.signup, name='signup'), url(r'^activate/(?P<uidb64>[0-9A-Za-z_\-]+)/(?P<token>[0-9A-Za-z]{1,13}...

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null

0

1

0

f5ee0fc5d74aae0b09b30c0e37603f02a2ea4deb

14,918

py

Python

forceDAQ/gui/plotter.py

gftabor/pyForceDAQ

3eababb41d855b961d228d8366fdd154bb6314ea

[ "MIT" ]

null

forceDAQ/gui/plotter.py

gftabor/pyForceDAQ

3eababb41d855b961d228d8366fdd154bb6314ea

[ "MIT" ]

null

forceDAQ/gui/plotter.py

gftabor/pyForceDAQ

3eababb41d855b961d228d8366fdd154bb6314ea

[ "MIT" ]

null

__version__ = "0.2" import threading import numpy as np import pygame from expyriment.stimuli import Canvas, Rectangle, TextLine from expyriment.stimuli._visual import Visual from expyriment.misc import constants lock_expyriment = threading.Lock() Numpy_array_type = type(np.array([])) class Scaling(object): """...

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0.275

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null

0

null

0

1

0

f5f03ea17d8bc72c5ae1602cba0dbeef3ed61e6b

2,905

py

Python

app/modules/payments/resources.py

almlys/sample_paymentsapi

d7ba4d2effeb7654ee06aab6dbb15e22f8d213cc

[ "MIT" ]

null

app/modules/payments/resources.py

almlys/sample_paymentsapi

d7ba4d2effeb7654ee06aab6dbb15e22f8d213cc

[ "MIT" ]

null

app/modules/payments/resources.py

almlys/sample_paymentsapi

d7ba4d2effeb7654ee06aab6dbb15e22f8d213cc

[ "MIT" ]

null

# encoding: utf-8 # pylint: disable=bad-continuation """ RESTful API Payments resources -------------------------- """ import logging from flask_login import current_user from flask_restplus_patched import Resource from flask_restplus._http import HTTPStatus from app.extensions import db from app.extensions.api impo...

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0.040961

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0.22556

0.178045

0

0.000456

0.245783

2,905

104

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false

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0.362069

0

null

0

null

0

1

0

f5f344323771b9cf37b06554ddc6a58b22178367

1,616

py

Python

bin/list-teams.py

kws/python-msgraphy

a5dad8bd834c476974fae151f30865c229e0f798

[ "MIT" ]

1

2022-01-06T08:06:47.000Z

bin/list-teams.py

kws/python-msgraphy

a5dad8bd834c476974fae151f30865c229e0f798

[ "MIT" ]

null

bin/list-teams.py

kws/python-msgraphy

a5dad8bd834c476974fae151f30865c229e0f798

[ "MIT" ]

null

import msgraphy_util import argparse from msgraphy import GraphApi def main(name, starts_with, exact, channels, folder): api = GraphApi(scopes=["Group.Read.All"]) response = api.team.list_teams(search=name, starts_with=starts_with, exact=exact) for team in response.value: print(f"{team.display_na...

41.435897

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4.826531

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0.047569

0.089852

0.060254

0.17759

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0.251856

1,616

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false

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0

null

0

null

0

1

0

f5f35c0e3a98205f6d6bd8dde9d15ab552f7d436

21,372

py

Python

tileEditor.py

haywireSSC/Level-Editor

34fedbe36b90afeb8c0d995fcecbed845ffd6253

[ "CC0-1.0" ]

null

tileEditor.py

haywireSSC/Level-Editor

34fedbe36b90afeb8c0d995fcecbed845ffd6253

[ "CC0-1.0" ]

null

tileEditor.py

haywireSSC/Level-Editor

34fedbe36b90afeb8c0d995fcecbed845ffd6253

[ "CC0-1.0" ]

null

import pygame as p from math import floor from copy import deepcopy import Tkinter, tkFileDialog root = Tkinter.Tk() root.withdraw() p.init() running = True tileWidth = 16 tileHeight = 16 mapWidth = 100 mapHeight = 100 camX = 0 camY = 0 scale = 2 uiScale = 2 hand = 1 layerStack = True file_path = '' file_path = t...

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null

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null

0

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f5f4c4714755e8b9549c5e4949c349f3b753fe90

5,148

py

Python

EditGroupWindow.py

TheYargonaut/lucre

1abd472993df01b443ab4811379dfe52e18cf790

[ "MIT" ]

null

EditGroupWindow.py

TheYargonaut/lucre

1abd472993df01b443ab4811379dfe52e18cf790

[ "MIT" ]

null

EditGroupWindow.py

TheYargonaut/lucre

1abd472993df01b443ab4811379dfe52e18cf790

[ "MIT" ]

null

import tkinter as tk from tkinter.colorchooser import askcolor from tkinter import ttk from Scrollable import Scrollable from ViewLedgerWidget import ViewLedgerWidget from List import ListView from Group import Group # window for editing a group prevLens = [ 10, 25, 100 ] class EditGroupWindow( tk.Toplevel ): de...

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null

0

null

0

1

0

f5f839cc33260b873ad589657cb5b87f8a948df8

5,172

py

Python

dialmonkey/nlu/basketball.py

alexandergazo/NPFL123

c52b6a880abf9fe694ce6a2d775c7db1bd765fba

[ "Apache-2.0" ]

null

dialmonkey/nlu/basketball.py

alexandergazo/NPFL123

c52b6a880abf9fe694ce6a2d775c7db1bd765fba

[ "Apache-2.0" ]

null

dialmonkey/nlu/basketball.py

alexandergazo/NPFL123

c52b6a880abf9fe694ce6a2d775c7db1bd765fba

[ "Apache-2.0" ]

null

# Author: Matej Mik from ..component import Component from ..da import DAI import re def add_team_g(string, attributes): if 'tym' in string: if re.search('(muj|moj|meh)[^ ]{0,3} tym', string): attributes.append('team=default') else: team = string.split('tym')[-1].split(' '...

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null

0

null

0

1

0

f5f954fff242094361f8f329de47188d709c63c7

1,447

py

Python

test_SSstache.py

jonschull/Lyte

e9ba2bb1b07c9398b81a6f591898d2474d1a4609

[ "MIT" ]

1

2018-06-07T17:54:27.000Z

test_SSstache.py

jonschull/Lyte

e9ba2bb1b07c9398b81a6f591898d2474d1a4609

[ "MIT" ]

1

2018-06-28T05:08:57.000Z

test_SSstache.py

jonschull/Lyte

e9ba2bb1b07c9398b81a6f591898d2474d1a4609

[ "MIT" ]

null

from SSstache import * from plumbum.path.utils import delete from plumbum.cmd import ls, touch, mkdir def test_makeSupportScriptStache(): delete('xyz') assert makeSupportScriptStache(stacheDir='xyz').endswith('xyz') assert ls('xyz').split()==['RSrun.2.7.min.js', 'glow.2.7.min.js', 'ide.css', 'jquery-ui.cu...

27.301887

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0.194444

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null

0

null

0

1

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f5fc2d7fa7991a4448eb7eb0d16d8da0aa0e1f7e

173

py

Python

graphic/introductions/graficoNormal.py

jonathanccardoso/data-science

d5977e5cd26b6a9ad05ef8940841158911a91586

[ "MIT" ]

null

graphic/introductions/graficoNormal.py

jonathanccardoso/data-science

d5977e5cd26b6a9ad05ef8940841158911a91586

[ "MIT" ]

null

graphic/introductions/graficoNormal.py

jonathanccardoso/data-science

d5977e5cd26b6a9ad05ef8940841158911a91586

[ "MIT" ]

null

import matplotlib.pyplot as plt x = [1, 2, 5] y = [2, 3, 7] plt.title("1 grafico com python") # Eixos plt.xlabel("Eixo X") plt.ylabel("Eixo Y") plt.plot(x,y) plt.show()

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null

0

null

0

1

0

f5fce2318bd81cf7ddc8f556365d8f472f7cc726

18,008

py

Python

darknet.py

sugey/pytorch-yolov3

cb6b46fd798debca5d8d066eabb2bd2e6c679953

[ "MIT" ]

3

2019-10-21T16:05:15.000Z

2019-10-25T00:43:17.000Z

darknet.py

sugey/pytorch-yolov3

cb6b46fd798debca5d8d066eabb2bd2e6c679953

[ "MIT" ]

null

darknet.py

sugey/pytorch-yolov3

cb6b46fd798debca5d8d066eabb2bd2e6c679953

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable import numpy as np from model.layers import * from model.build import * import cv2 from model.utils import * def get_test_input(): img = cv2.imread("images/dog-cycle-car.png") img = cv2.resize(img, (416, 416...

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0

0.141935

0

null

0

null

0

1

0

eb03b18815a588a66491abb92833213166f65e34

2,271

py

Python

superset/shuju_into_mysql.py

LCM1999/superset_secondary_dev

293e3df9d46ef6096d35ee7d523ce5c7898902bc

[ "Apache-2.0" ]

1

2021-06-29T05:36:30.000Z

superset/shuju_into_mysql.py

LCM1999/superset_secondary_dev

293e3df9d46ef6096d35ee7d523ce5c7898902bc

[ "Apache-2.0" ]

null

superset/shuju_into_mysql.py

LCM1999/superset_secondary_dev

293e3df9d46ef6096d35ee7d523ce5c7898902bc

[ "Apache-2.0" ]

null

import json import pymysql import random import string import time # def get_data(): # with open('E:\\QQ文档\\1420944066\\FileRecv\\Code (2)\\data\\nice looking data\\与gooddata里重复\\20_30(1).json', 'r') as f: # camera_text = json.load(f) # 解析每一行数据 # print(camera_text) # return camera_text # def...

37.85

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0.25

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null

0

null

0

1

0

eb03b84ad235ef7df8266830a1654259db309611

3,290

py

Python

Experiments/create_mean_optimization_sets.py

ariel415el/PerceptualLossGLO-Pytorch

7caa743b719cd95066103a69f3e78a70507de8b5

[ "MIT" ]

null

Experiments/create_mean_optimization_sets.py

ariel415el/PerceptualLossGLO-Pytorch

7caa743b719cd95066103a69f3e78a70507de8b5

[ "MIT" ]

null

Experiments/create_mean_optimization_sets.py

ariel415el/PerceptualLossGLO-Pytorch

7caa743b719cd95066103a69f3e78a70507de8b5

[ "MIT" ]

null

import os import random import cv2 import numpy as np import torch from Experiments.all import load_models, embedd_data, save_batch from GenerativeModels.utils.data_utils import get_dataset device = torch.device("cuda") def sample_latent_neighbors(outputs_dir, models_dir): """Find nearest latent neighbors of d...

39.166667

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3,290

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0.047761

0.024876

0.016915

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0.144279

0.088557

0

0.057396

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3,290

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116

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0

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0

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0.016949

0

null

0

null

0

1

0

eb03e3a050ceea7bb9cd25f052a0aa3154068c30

1,830

py

Python

run-length-encoding/run_length_encoding.py

geekmuse/exercism-python

089efc0382147bd48f1e2d68c33ba4cbd58d3dfd

[ "MIT" ]

null

run-length-encoding/run_length_encoding.py

geekmuse/exercism-python

089efc0382147bd48f1e2d68c33ba4cbd58d3dfd

[ "MIT" ]

null

run-length-encoding/run_length_encoding.py

geekmuse/exercism-python

089efc0382147bd48f1e2d68c33ba4cbd58d3dfd

[ "MIT" ]

null

def decode(to_be_decoded): """ Decodes a run-length encoded string. :param to_be_decoded: run-length encoded string :return: run-length decoded string """ to_be_decoded_list = list(to_be_decoded) decoded_str_as_list = list() num_to_print_as_list = list() for c in to_be_decoded_list:...

30

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0.495413

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0.254842

0.140673

0

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0.142857

0

null

0

null

0

1

0

eb0791e28d8a88a76f9e3bcff8a0767061c1499e

3,816

py

Python

pytorch/benchmarks/operator_benchmark/pt/conv_test.py

raghavnauhria/whatmt

c20483a437c82936cb0fb8080925e37b9c4bba87

[ "MIT" ]

null

pytorch/benchmarks/operator_benchmark/pt/conv_test.py

raghavnauhria/whatmt

c20483a437c82936cb0fb8080925e37b9c4bba87

[ "MIT" ]

1

2019-07-22T09:48:46.000Z

pytorch/benchmarks/operator_benchmark/pt/conv_test.py

raghavnauhria/whatmt

c20483a437c82936cb0fb8080925e37b9c4bba87

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import operator_benchmark as op_bench import torch import torch.nn as nn """ Microbenchmarks for Conv1d and ConvTranspose1d operators. """ # Configs for conv-1d ops ...

27.453237

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0.011494

0

null

0

null

0

1

0

eb083967d51239e917a7b39eeaa1d72f732ba81d

1,605

py

Python

local_test/course_search/nyuapi/request.py

NYUSHer/Widgets

b630d01331ca0101778fc7ca44fff7b65412f9ef

[ "MIT" ]

1

2018-05-01T06:04:39.000Z

local_test/course_search/nyuapi/request.py

NYUSHer/Widgets

b630d01331ca0101778fc7ca44fff7b65412f9ef

[ "MIT" ]

null

local_test/course_search/nyuapi/request.py

NYUSHer/Widgets

b630d01331ca0101778fc7ca44fff7b65412f9ef

[ "MIT" ]

null

import requests as R class reqNYU(): TOKEN = "" BASEURI = "https://sandbox.api.it.nyu.edu/" def __init__(self, token=""): if not token: raise Exception("[Error] Token can not be empty!") self.TOKEN = token self.ping() def ping(self): try: ...

32.1

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0

null

0

null

0

1

0

eb0a67e0dac6431fa8a950d7b99db76a91a069c7

11,877

py

Python

cnnlstm/preprocessing.py

mingjiewong/Kaggle-M5-Forecasting-Accuracy-2020

6467a08640990f2d07e517adf7bacd566fb442c4

[ "MIT" ]

null

cnnlstm/preprocessing.py

mingjiewong/Kaggle-M5-Forecasting-Accuracy-2020

6467a08640990f2d07e517adf7bacd566fb442c4

[ "MIT" ]

null

cnnlstm/preprocessing.py

mingjiewong/Kaggle-M5-Forecasting-Accuracy-2020

6467a08640990f2d07e517adf7bacd566fb442c4

[ "MIT" ]

null

import numpy as np import pandas as pd import os from sklearn.preprocessing import MinMaxScaler from data_processing.helpers import Config class Load: def __init__(self,train_sales='',calendar=''): """ Read CSV files for daily sales and calendar input data respectively. Args: tra...

46.214008

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0

null

0

null

0

1

0

eb0ac6a6f7fdd1cf17fa0a0d491c03fde96fdfc1

331

py

Python

Physics250-ME3738/timeIntervalBlinks.py

illusion173/Physics250

69f2ffdb8af013e8b0739779861c1455b579ddaf

[ "MIT" ]

null

Physics250-ME3738/timeIntervalBlinks.py

illusion173/Physics250

69f2ffdb8af013e8b0739779861c1455b579ddaf

[ "MIT" ]

null

Physics250-ME3738/timeIntervalBlinks.py

illusion173/Physics250

69f2ffdb8af013e8b0739779861c1455b579ddaf

[ "MIT" ]

null

import math speedofLight = 2.9979*pow(10,8) def timeIntervalBlinks(): time = float(input('Input Time (sec): ')) speed = float(input('Speed: ')) speed = speed * pow(10,8) gamma = math.sqrt(1/(1-pow((speed/speedofLight),2))) answer = gamma * time print(answer) timeInterv...

18.388889

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331

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0.2

0.1

0

null

0

null

0

1

0

eb10c1e56faa83018c15d8d04331071eb6bc524c

786

py

Python

PythonTest/Aula18A.py

MatthewsTomts/Python_Class

f326d521d62c45a4fcb429d2a22cf2ab958492cb

[ "MIT" ]

null

PythonTest/Aula18A.py

MatthewsTomts/Python_Class

f326d521d62c45a4fcb429d2a22cf2ab958492cb

[ "MIT" ]

null

PythonTest/Aula18A.py

MatthewsTomts/Python_Class

f326d521d62c45a4fcb429d2a22cf2ab958492cb

[ "MIT" ]

null

teste = list() teste.append('Matheus') teste.append(17) galera = [teste[:]] # Cria uma copia de teste dentro de galera teste[0] = 'Oliver' teste[1] = 22 galera.append(teste) # Cria um vínculo entre teste e galera print(galera) pessoas = [['Harvey', 23], ['Madeleine', 19], ['Roger', 250], ['Mark', 20]] print(pessoas...

27.103448

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0.227273

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null

0

null

0

1

0

eb17d457b2e3da5e9c6ce129bda974e0910d6212

1,967

py

Python

tencentcloud/cat/v20180409/errorcodes.py

HS-Gray/tencentcloud-sdk-python

b28b19c4beebc9f361aa3221afa36ad1ee047ccc

[ "Apache-2.0" ]

37

2017-10-12T01:50:42.000Z

2022-02-24T02:44:45.000Z

tencentcloud/cat/v20180409/errorcodes.py

HS-Gray/tencentcloud-sdk-python

b28b19c4beebc9f361aa3221afa36ad1ee047ccc

[ "Apache-2.0" ]

null

tencentcloud/cat/v20180409/errorcodes.py

HS-Gray/tencentcloud-sdk-python

b28b19c4beebc9f361aa3221afa36ad1ee047ccc

[ "Apache-2.0" ]

12

2018-07-31T10:04:56.000Z

2022-02-07T00:08:06.000Z

# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses...

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null

0

1

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eb1aab5b6a3a998c629d8d9ed3c85dc9531c3cbf

6,248

py

Python

py2.5/processing/reduction.py

geofft/multiprocess

d998ffea9e82d17662b12b94a236182e7fde46d5

[ "BSD-3-Clause" ]

356

2015-06-21T21:05:10.000Z

2022-03-30T11:57:08.000Z

py2.5/processing/reduction.py

geofft/multiprocess

d998ffea9e82d17662b12b94a236182e7fde46d5

[ "BSD-3-Clause" ]

103

2015-06-22T01:44:14.000Z

2022-03-01T03:44:25.000Z

py2.5/processing/reduction.py

geofft/multiprocess

d998ffea9e82d17662b12b94a236182e7fde46d5

[ "BSD-3-Clause" ]

72

2015-09-02T14:10:24.000Z

2022-03-25T06:49:43.000Z

# # Module to support the pickling of different types of connection # objects and file objects so that they can be transferred between # different processes. # # processing/reduction.py # # Copyright (c) 2006-2008, R Oudkerk --- see COPYING.txt # __all__ = [] import os import sys import socket import t...

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eb1afd11fd2f6d89e9d5a3d5e84072981f86d593

570

py

Python

data-structures/print-the-elements-of-a-linked-list-in-reverse.py

gajubadge11/HackerRank-1

7b136ccaa1ed47ae737467ace6b494c720ccb942

[ "MIT" ]

340

2018-06-17T19:45:56.000Z

2022-03-22T02:26:15.000Z

data-structures/print-the-elements-of-a-linked-list-in-reverse.py

gajubadge11/HackerRank-1

7b136ccaa1ed47ae737467ace6b494c720ccb942

[ "MIT" ]

3

2021-02-02T17:17:29.000Z

2021-05-18T10:06:04.000Z

data-structures/print-the-elements-of-a-linked-list-in-reverse.py

gajubadge11/HackerRank-1

7b136ccaa1ed47ae737467ace6b494c720ccb942

[ "MIT" ]

229

2019-04-20T08:28:49.000Z

2022-03-31T04:23:52.000Z

""" Print elements of a linked list in reverse order as standard output head could be None as well for empty list Node is defined as class Node(object): def __init__(self, data=None, next_node=None): self.data = data self.next = next_node """ def ReversePrint(head): if head is None: ...

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null

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eb1bfe5091ca2f0f84f38e9d762348c024630c00

9,088

py

Python

cfd/cfd_rel_perms.py

lanetszb/vofpnm

520544db894fb13e44a86e989bd17b4690e996d3

[ "MIT" ]

null

cfd/cfd_rel_perms.py

lanetszb/vofpnm

520544db894fb13e44a86e989bd17b4690e996d3

[ "MIT" ]

null

cfd/cfd_rel_perms.py

lanetszb/vofpnm

520544db894fb13e44a86e989bd17b4690e996d3

[ "MIT" ]

null

# MIT License # # Copyright (c) 2020 Aleksandr Zhuravlyov and Zakhar Lanets # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to...

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null

0

null

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1

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eb1e990c875a84c89463cedf50afc813143a16f2

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py

Python

GUI/WifiMonitor/UDP/Utils/gpio_mapping.py

gchinellato/XD

f6c0134030c5e229a7b9c2621311c5204aed77af

[ "MIT" ]

1

2019-10-15T20:31:39.000Z

GUI/WifiMonitor/Utils/gpio_mapping.py

gchinellato/XD

f6c0134030c5e229a7b9c2621311c5204aed77af

[ "MIT" ]

null

GUI/WifiMonitor/Utils/gpio_mapping.py

gchinellato/XD

f6c0134030c5e229a7b9c2621311c5204aed77af

[ "MIT" ]

null

#!/usr/bin/python """ ************************************************* * @Project: Self Balance * @Description: GPIO Mapping * @Owner: Guilherme Chinellato * @Email: guilhermechinellato@gmail.com *************************************************...

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null

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eb212bcaed139e5c9db595186ee8e16677921512

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py

Python

mmdet/utils/memory.py

Youth-Got/mmdetection

2e0a02599804da6e07650dde37b9df538e15d646

[ "Apache-2.0" ]

1

2021-12-10T15:08:22.000Z

mmdet/utils/memory.py

q3394101/mmdetection

ca11860f4f3c3ca2ce8340e2686eeaec05b29111

[ "Apache-2.0" ]

null

mmdet/utils/memory.py

q3394101/mmdetection

ca11860f4f3c3ca2ce8340e2686eeaec05b29111

[ "Apache-2.0" ]

null

# Copyright (c) OpenMMLab. All rights reserved. import warnings from collections import abc from contextlib import contextmanager from functools import wraps import torch from mmdet.utils import get_root_logger def cast_tensor_type(inputs, src_type=None, dst_type=None): """Recursively convert Tensor in inputs f...

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null

0

null

0

1

0

eb213849d6f5cbf00a64871c3293e7fb777f9ff4

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py

Python

game.py

YeonjuKim05/Kim_Y_RPS_Fall2020

031bfeec09f663686ae2c9418185ab5070af3b7a

[ "MIT" ]

null

game.py

YeonjuKim05/Kim_Y_RPS_Fall2020

031bfeec09f663686ae2c9418185ab5070af3b7a

[ "MIT" ]

1

2020-11-28T16:29:28.000Z

game.py

YeonjuKim05/Kim_Y_RPS_Fall2020

031bfeec09f663686ae2c9418185ab5070af3b7a

[ "MIT" ]

null

# import packages to extend python (just like we extend sublime, or Atom, or VSCode) from random import randint from gameComponents import gameVars, chooseWinner while gameVars.player is False: print("=======================*/ RPS CONTEST /*=======================") print("Computer Lives: ", gameVars.ai_lives, "/"...

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null

0

null

0

1

0

eb21b87b5bc6c350c9c4db10e19ca1430b1bd7c2

1,227

py

Python

dataset/utils.py

tarun-bisht/mlpipe

0cd1f0b57a7788222228dc08f0c8a21ed51a7cc1

[ "MIT" ]

null

dataset/utils.py

tarun-bisht/mlpipe

0cd1f0b57a7788222228dc08f0c8a21ed51a7cc1

[ "MIT" ]

null

dataset/utils.py

tarun-bisht/mlpipe

0cd1f0b57a7788222228dc08f0c8a21ed51a7cc1

[ "MIT" ]

null

import pandas as pd import os def df_from_image_dirs(directory, image_format="jpg", relative_path=False, verbose=0): dataframe_dict = { "images":[], "classes":[] } num_dirs = 0 num_images = 0 images_per_classes = [] classes = [] for dirs in os.listdir(directory): ...

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null

0

null

0

1

0

eb2259b4263e5697783bf6849627924369449a0f

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py

Python

THreading.py

asd86826/OpticalFlow_Test

f4d621994871b4913b95a18f59cb171526d786ae

[ "MIT" ]

null

THreading.py

asd86826/OpticalFlow_Test

f4d621994871b4913b95a18f59cb171526d786ae

[ "MIT" ]

null

THreading.py

asd86826/OpticalFlow_Test

f4d621994871b4913b95a18f59cb171526d786ae

[ "MIT" ]

null

import time from threading import Timer i = 0 class RepeatedTimer(object): def __init__(self, interval, function, *args, **kwargs): self._timer = None self.interval = interval self.function = function self.args = args self.kwargs = kwargs ...

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0

null

0

null

0

1

0

eb266bf3b2f0517ce3d9501b3cfc011f8ded2d3e

3,817

bzl

Python

defs.bzl

attilaolah/bazel-tools

823216936ee93ab6884c6111a8e60e9a836fa7cc

[ "Apache-2.0" ]

2

2021-09-02T18:59:09.000Z

2021-09-20T23:13:17.000Z

defs.bzl

attilaolah/bazel-tools

823216936ee93ab6884c6111a8e60e9a836fa7cc

[ "Apache-2.0" ]

null

defs.bzl

attilaolah/bazel-tools

823216936ee93ab6884c6111a8e60e9a836fa7cc

[ "Apache-2.0" ]

null

# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

31.545455

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0

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0

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0

null

0

null

0

1

0

eb289039ceb1e6cb9ff0bbb176aa1f763781e163

692

py

Python

tests/test_instrumentation/test_base.py

cloudchacho/hedwig-python

1e4ca5472fe661ffd9d3cedd10a9ddc2daa0926b

[ "Apache-2.0" ]

null

tests/test_instrumentation/test_base.py

cloudchacho/hedwig-python

1e4ca5472fe661ffd9d3cedd10a9ddc2daa0926b

[ "Apache-2.0" ]

3

2021-06-25T20:52:50.000Z

2021-11-30T16:22:30.000Z

tests/test_instrumentation/test_base.py

cloudchacho/hedwig-python

1e4ca5472fe661ffd9d3cedd10a9ddc2daa0926b

[ "Apache-2.0" ]

null

from unittest import mock import pytest get_tracer = pytest.importorskip('opentelemetry.trace.get_tracer') @mock.patch('hedwig.backends.base.Message.exec_callback', autospec=True) def test_message_handler_updates_span_name(mock_exec_callback, message, consumer_backend): provider_metadata = mock.Mock() trace...

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0

null

0

null

0

1

0

eb2a6dfadfc03cbe4b08fd33a47e0c0b3e370224

1,184

py

Python

Leetcode/SwapNodesInPairs.py

tswsxk/CodeBook

01b976418d64f5f94257ae0e2b36751afb93c105

[ "MIT" ]

null

Leetcode/SwapNodesInPairs.py

tswsxk/CodeBook

01b976418d64f5f94257ae0e2b36751afb93c105

[ "MIT" ]

1

2019-09-24T22:04:03.000Z

Leetcode/SwapNodesInPairs.py

tswsxk/CodeBook

01b976418d64f5f94257ae0e2b36751afb93c105

[ "MIT" ]

null

# Definition for singly-linked list. class ListNode(object): def __init__(self, x): self.val = x self.next = None class Solution(object): def swapPairs(self, head): """ :type head: ListNode :rtype: ListNode """ nodeRec = [] check = head pr...

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0

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1,184

49

45

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0

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0

0.170732

0

null

0

null

0

1

0

eb2c8b8b8d777e9a0438515ac0aea6cd01f5301b

2,696

py

Python

chess-board-0.2.0/chessboard/pieces.py

fshelobolin/irohbot

4ad4c554ecff1e1005fbecf26ee097c387bf357d

[ "MIT" ]

null

chess-board-0.2.0/chessboard/pieces.py

fshelobolin/irohbot

4ad4c554ecff1e1005fbecf26ee097c387bf357d

[ "MIT" ]

null

chess-board-0.2.0/chessboard/pieces.py

fshelobolin/irohbot

4ad4c554ecff1e1005fbecf26ee097c387bf357d

[ "MIT" ]

null

""" Ahira Justice, ADEFOKUN justiceahira@gmail.com """ import os import pygame BASE_DIR = os.path.dirname(os.path.abspath(__file__)) IMAGE_DIR = os.path.join(BASE_DIR, "images") BLACK = "BLACK" WHITE = "WHITE" BISHOP = "BISHOP" KING = "KING" KNGHT = "KNIGHT" PAWN = "PAWN" QUEEN = "QUEEN" ROOK = "ROOK" c...

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0

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0.283582

0

null

0

null

0

1

0

eb361ceecffd166eeb0b6b3ee13b8be48e6f4d86

819

py

Python

setup.py

ktvng/cue

5f31c8898f3bc53a18956220f609489cd2bbe590

[ "MIT" ]

null

setup.py

ktvng/cue

5f31c8898f3bc53a18956220f609489cd2bbe590

[ "MIT" ]

null

setup.py

ktvng/cue

5f31c8898f3bc53a18956220f609489cd2bbe590

[ "MIT" ]

null

"""Cue: Script Orchestration for Data Analysis Cue lets your package your data analysis into simple actions which can be connected into a dynamic data analysis pipeline with coverage over even complex data sets. """ DOCLINES = (__doc__ or '').split('\n') from setuptools import find_packages, setup setup(...

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0

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0

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0

null

0

null

0

1

0

eb3657629d59fdcbd7874c2822fc0707cfc70c45

1,689

py

Python

tests/getz.py

deflax/steinvord

709326ff219159a78f644c0adf3c5b224ed42804

[ "Zlib" ]

1

2021-06-02T19:51:26.000Z

tests/getz.py

deflax/steinvord

709326ff219159a78f644c0adf3c5b224ed42804

[ "Zlib" ]

null

tests/getz.py

deflax/steinvord

709326ff219159a78f644c0adf3c5b224ed42804

[ "Zlib" ]

null

#!/usr/bin/python3.2 # # Zabbix API Python usage example # Christoph Haas <email@christoph-haas.de> # username='' password='1' hostgroup='' item_name='system.cpu.load[,avg1]' zabbix_url='' import zabbix_api import sys # Connect to Zabbix server z=zabbix_api.ZabbixAPI(server=zabbix_url) z.login(user=username, passwor...

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0

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1,689

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0

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0

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0

1

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false

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0

null

0

null

0

1

0

eb3b035d6a2b960bc0d338d7dd3785c2208f99f5

11,813

py

Python

server.py

uanthwal/starter-snake-python

6eff23ac9b9b0cfb9dbbf6d756a92a677bbf0417

[ "MIT" ]

null

server.py

uanthwal/starter-snake-python

6eff23ac9b9b0cfb9dbbf6d756a92a677bbf0417

[ "MIT" ]

null

server.py

uanthwal/starter-snake-python

6eff23ac9b9b0cfb9dbbf6d756a92a677bbf0417

[ "MIT" ]

null

import copy import math import os import random import cherrypy """ This is a simple Battlesnake server written in Python. For instructions see https://github.com/BattlesnakeOfficial/starter-snake-python/README.md """ class Battlesnake(object): global neighbours @cherrypy.expose @cherrypy.tools.json_out() def...

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0

null

0

null

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1

0

eb3c1435400a880f8b3833ff6b37ef02c5237e11

59,098

py

Python

google/devtools/testing/v1/devtools-testing-v1-py/google/devtools/testing_v1/types/test_execution.py

googleapis/googleapis-gen

d84824c78563d59b0e58d5664bfaa430e9ad7e7a

[ "Apache-2.0" ]

7

2021-02-21T10:39:41.000Z

2021-12-07T07:31:28.000Z

google/devtools/testing/v1/devtools-testing-v1-py/google/devtools/testing_v1/types/test_execution.py

googleapis/googleapis-gen

d84824c78563d59b0e58d5664bfaa430e9ad7e7a

[ "Apache-2.0" ]

6

2021-02-02T23:46:11.000Z

2021-11-15T01:46:02.000Z

google/devtools/testing/v1/devtools-testing-v1-py/google/devtools/testing_v1/types/test_execution.py

googleapis/googleapis-gen

d84824c78563d59b0e58d5664bfaa430e9ad7e7a

[ "Apache-2.0" ]

4

2021-01-28T23:25:45.000Z

2021-08-30T01:55:16.000Z

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

30.029472

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null

0

null

0

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0

eb3c4ae70f222dd8a499b8678c9508db3922f5b5

1,457

py

Python

CONTENT/Resources/guides/__UNSORTED/244_shortest_word_distance_ii/shortest.py

impastasyndrome/DS-ALGO-OFFICIAL

c85ec9cf0af0009f038b7a571a7ac1fb466b7f3a

[ "Apache-2.0" ]

13

2021-03-11T00:25:22.000Z

2022-03-19T00:19:23.000Z

CONTENT/Resources/guides/__UNSORTED/244_shortest_word_distance_ii/shortest.py

impastasyndrome/DS-ALGO-OFFICIAL

c85ec9cf0af0009f038b7a571a7ac1fb466b7f3a

[ "Apache-2.0" ]

162

2021-03-09T01:52:11.000Z

2022-03-12T01:09:07.000Z

CONTENT/Resources/guides/__UNSORTED/244_shortest_word_distance_ii/shortest.py

impastasyndrome/DS-ALGO-OFFICIAL

c85ec9cf0af0009f038b7a571a7ac1fb466b7f3a

[ "Apache-2.0" ]

12

2021-04-26T19:43:01.000Z

2022-01-31T08:36:29.000Z

from collections import defaultdict class WordDistance(object): def __init__(self, words): """ initialize your data structure here. :type words: List[str] """ self.indice = defaultdict(list) self.memo = {} self.MAXLEN = len(words) for i, word in enum...

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eb41c51ce9970b54d5b685bba4f5e3319c3b6398

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py

Python

Developer-Essentials-Capstone/Python/Includes/Capstone-Setup.py

databricks-academy/developer-essentials-capstone

77e70b1eb5b49b5f6779495fac7d14f5fadded9d

[ "CC0-1.0" ]

1

2022-02-08T03:56:32.000Z

Developer-Essentials-Capstone/Python/Includes/Capstone-Setup.py

databricks-academy/developer-essentials-capstone

77e70b1eb5b49b5f6779495fac7d14f5fadded9d

[ "CC0-1.0" ]

null

Developer-Essentials-Capstone/Python/Includes/Capstone-Setup.py

databricks-academy/developer-essentials-capstone

77e70b1eb5b49b5f6779495fac7d14f5fadded9d

[ "CC0-1.0" ]

4

2022-01-01T09:41:31.000Z

2022-02-17T09:48:05.000Z

# Databricks notebook source import builtins as BI # Setup the capstone import re, uuid from pyspark.sql.types import StructType, StringType, IntegerType, TimestampType, DoubleType from pyspark.sql.functions import col, to_date, weekofyear from pyspark.sql import DataFrame static_tests = None bronze_tests = None silv...

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null

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eb424108a96bf604264def77319d83c190ad7040

12,658

py

Python

scraper/Scraper.py

tiskutis/Capstone24Scraper

3182463e129f37f0f895a440d2285a51e0cfb9a2

[ "MIT" ]

null

scraper/Scraper.py

tiskutis/Capstone24Scraper

3182463e129f37f0f895a440d2285a51e0cfb9a2

[ "MIT" ]

null

scraper/Scraper.py

tiskutis/Capstone24Scraper

3182463e129f37f0f895a440d2285a51e0cfb9a2

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup as bs, BeautifulSoup import pandas as pd import numpy as np import re import logging class Scraper: """ This is a scraper class, which can scrape California housing information from https://www.point2homes.com/ website. The flow: - First, all California ar...

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null

0

null

0

1

0

eb444f1d2f4c6079bc153578e3e68294eef319a0

4,344

py

Python

src/gapminder_challenge/dashboard/dash_app2.py

UBC-MDS/gapminder_challenge

bbc8132a475d483e7c6c46572c8efca40b506afc

[ "MIT" ]

1

2022-03-19T03:31:49.000Z

src/gapminder_challenge/dashboard/dash_app2.py

imtvwy/gapminder_challenge

0f7d9816b0c5baf6422baff24e0413c800d6e62a

[ "MIT" ]

39

2022-02-17T05:04:48.000Z

2022-03-19T21:37:20.000Z

src/gapminder_challenge/dashboard/dash_app2.py

imtvwy/gapminder_challenge

0f7d9816b0c5baf6422baff24e0413c800d6e62a

[ "MIT" ]

1

2022-03-19T03:30:08.000Z

import pandas as pd from dash import Dash, html, dcc, Input, Output import altair as alt df = pd.read_csv('../../data/raw/world-data-gapminder_raw.csv') # local run # df = pd.read_csv('data/raw/world-data-gapminder_raw.csv') # heroku deployment url = '/dash_app2/' def add_dash(server): """ It creates a D...

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null

0

null

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eb448a448b8928b4d93cd021756f058d5d672505

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py

Python

emulator/utils/common.py

Harry45/emuPK

c5cd8a4ab7ef593b196ee58d9df5d826d444a2b9

[ "MIT" ]

2

2021-05-10T16:59:34.000Z

2021-05-19T16:10:24.000Z

emulator/utils/common.py

Harry45/emuPK

c5cd8a4ab7ef593b196ee58d9df5d826d444a2b9

[ "MIT" ]

null

emulator/utils/common.py

Harry45/emuPK

c5cd8a4ab7ef593b196ee58d9df5d826d444a2b9

[ "MIT" ]

2

2021-04-16T23:55:16.000Z

2021-09-09T12:48:41.000Z

# Author: Arrykrishna Mootoovaloo # Collaborators: Alan Heavens, Andrew Jaffe, Florent Leclercq # Email : a.mootoovaloo17@imperial.ac.uk # Affiliation : Imperial Centre for Inference and Cosmology # Status : Under Development ''' Perform all additional operations such as interpolations ''' import os import logging im...

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null

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null

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de1a03c3bf2d4b4418706f4fb2057bc7977a7251

777

py

Python

client.py

juzejunior/HttpBasicServer

7e77b49f693d9cfe0d782e93026d8f9261368b69

[ "MIT" ]

null

client.py

juzejunior/HttpBasicServer

7e77b49f693d9cfe0d782e93026d8f9261368b69

[ "MIT" ]

null

client.py

juzejunior/HttpBasicServer

7e77b49f693d9cfe0d782e93026d8f9261368b69

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' Simple Http Client, to request html files Modification: 11/09/2017 Author: J. Júnior ''' import httplib import sys #get http server ip - pass in the command line http_server = sys.argv[1] #create a connection with the server conn = httplib.HTTPConnection(ht...

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null

0

null

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1

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de1d5ad5042762573fde2a3a38799da995504ae1

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py

Python

pyssh/crypto/asymmetric.py

beckjake/pyssh

d6b7a6cca7e38d0835f84386723ec10ac5ad621f

[ "CC0-1.0" ]

null

pyssh/crypto/asymmetric.py

beckjake/pyssh

d6b7a6cca7e38d0835f84386723ec10ac5ad621f

[ "CC0-1.0" ]

null

pyssh/crypto/asymmetric.py

beckjake/pyssh

d6b7a6cca7e38d0835f84386723ec10ac5ad621f

[ "CC0-1.0" ]

null

"""Implement asymmetric cryptography. """ from __future__ import print_function, division, absolute_import from __future__ import unicode_literals from cryptography.hazmat.primitives import hashes, serialization from cryptography.hazmat.primitives.asymmetric import rsa, dsa, utils, padding from cryptography.hazmat.pri...

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null

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de1dfa963d73dc87e79e92fa3fe653f6462539c8

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py

Python

books/李航-统计学习/machine_learning_algorithm-master/naive_bayes/naive_bayes.py

haohonglin/DeepLearning-1

c00eee4738d322f6eb5d61d5bafbcfa7b20152a0

[ "Apache-2.0" ]

1

2020-12-01T06:13:21.000Z

books/李航-统计学习/machine_learning_algorithm-master/naive_bayes/naive_bayes.py

idonashino/DeepLearning

c00eee4738d322f6eb5d61d5bafbcfa7b20152a0

[ "Apache-2.0" ]

null

books/李航-统计学习/machine_learning_algorithm-master/naive_bayes/naive_bayes.py

idonashino/DeepLearning

c00eee4738d322f6eb5d61d5bafbcfa7b20152a0

[ "Apache-2.0" ]

1

2021-01-01T15:28:36.000Z

""" @ jetou @ cart decision_tree @ date 2017 10 31 """ import numpy as np class naive_bayes: def __init__(self, feature, label): self.feature = feature.transpose() self.label = label.transpose().flatten(1) self.positive = np.count_nonzero(self.label == 1) * 1.0 self.ne...

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null

0

null

0

1

0

de2067c1459291384093f5c6102e9ab0301ade68

3,164

py

Python

src/rsa_decryption_125/app.py

seanballais/rsa-decryption-125

df2ad27d055469e7c58a811f40cfc2c8a6171298

[ "MIT" ]

null

src/rsa_decryption_125/app.py

seanballais/rsa-decryption-125

df2ad27d055469e7c58a811f40cfc2c8a6171298

[ "MIT" ]

null

src/rsa_decryption_125/app.py

seanballais/rsa-decryption-125

df2ad27d055469e7c58a811f40cfc2c8a6171298

[ "MIT" ]

null

import tkinter from tkinter import * from rsa_decryption_125 import decryptor class AppWindow(Frame): def __init__(self, master=None): super().__init__(master) self.master = master self.init_window() def init_window(self): self.master.title('RSA Decryptor') self.p...

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null

0

null

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0

de207e25aa9bca185c57928c53cd749f04d47818

2,031

py

Python

model.py

starinsun/multiagent-particle-envs

23b1c47fad4d71347ba3de7a5e8cec910f08382d

[ "MIT" ]

null

model.py

starinsun/multiagent-particle-envs

23b1c47fad4d71347ba3de7a5e8cec910f08382d

[ "MIT" ]

null

model.py

starinsun/multiagent-particle-envs

23b1c47fad4d71347ba3de7a5e8cec910f08382d

[ "MIT" ]

null

import paddle.fluid as fluid import parl from parl import layers class MAModel(parl.Model): def __init__(self, act_dim): self.actor_model = ActorModel(act_dim) self.critic_model = CriticModel() def policy(self, obs): return self.actor_model.policy(obs) def value(self, obs, act): ...

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0

null

0

null

0

1

0

de20802d519423344cda6384cb09a94946775ee1

724

py

Python

src/fmWidgets/FmColorEdit.py

ComputerArchitectureGroupPWr/Floorplan-Maker

8f2922cdab16501d3bb00f93c3130d3f2c593698

[ "MIT" ]

null

src/fmWidgets/FmColorEdit.py

ComputerArchitectureGroupPWr/Floorplan-Maker

8f2922cdab16501d3bb00f93c3130d3f2c593698

[ "MIT" ]

null

src/fmWidgets/FmColorEdit.py

ComputerArchitectureGroupPWr/Floorplan-Maker

8f2922cdab16501d3bb00f93c3130d3f2c593698

[ "MIT" ]

null

from PyQt4.QtGui import QPalette, QColor __author__ = 'pawel' from PyQt4 import QtGui from PyQt4.QtCore import Qt class FmColorEdit(QtGui.QLineEdit): def __init__(self, parent): super(FmColorEdit, self).__init__(parent) self.setReadOnly(True) def mousePressEvent(self, event): self....

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28

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0

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0.05

0.45

0

null

0

null

0

1

0

de26d7fc8c223d9eef08edc2aa50933adc8cafe1

1,777

py

Python

scripts/geodata/address_expansions/equivalence.py

Fillr/libpostal

bce153188aff9fbe65aef12c3c639d8069e707fc

[ "MIT" ]

3,489

2015-03-03T00:21:38.000Z

2022-03-29T09:03:05.000Z

scripts/geodata/address_expansions/equivalence.py

StephenHildebrand/libpostal

d8c9847c5686a1b66056e65128e1774f060ff36f

[ "MIT" ]

488

2015-05-29T23:04:28.000Z

2022-03-29T11:20:24.000Z

scripts/geodata/address_expansions/equivalence.py

StephenHildebrand/libpostal

d8c9847c5686a1b66056e65128e1774f060ff36f

[ "MIT" ]

419

2015-11-24T16:53:07.000Z

2022-03-27T06:51:28.000Z

import random import re import six from itertools import izip from geodata.address_expansions.gazetteers import * from geodata.encoding import safe_decode, safe_encode from geodata.text.normalize import normalized_tokens from geodata.text.tokenize import tokenize_raw, token_types from geodata.text.utils import non_br...

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0

0.485714

0

null

0

null

0

1

0

de28f51f7fb4db9f4c4cfed3b53384caa7188918

3,200

py

Python

ssanchors/utilities.py

IoSR-Surrey/source-separation-anchors

c2c73312bdc7f08f37c088fa3986168813f13799

[ "MIT" ]

4

2018-07-06T14:35:29.000Z

2019-08-28T17:13:11.000Z

ssanchors/utilities.py

nd1511/source-separation-anchors

c2c73312bdc7f08f37c088fa3986168813f13799

[ "MIT" ]

1

2018-06-18T17:08:28.000Z

2018-06-19T10:45:58.000Z

ssanchors/utilities.py

nd1511/source-separation-anchors

c2c73312bdc7f08f37c088fa3986168813f13799

[ "MIT" ]

1

2018-11-05T19:56:17.000Z

from __future__ import division import numpy as np from untwist import data from untwist import transforms def target_accompaniment(target, others, sample_rate=None): """ Given a target source and list of 'other' sources, this function returns the target and accompaniment as untwist.data.audio.Wave objec...

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0.065934

0.037463

0.200799

0.161838

0.054945

0

0.005541

0.266875

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26.01626

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0

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0

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0

0.285714

0.028571

0

null

0

null

0

1

0

de2d96eb9081272f5172b90d540db88b204c04b4

427

py

Python

Python_Challenge_115/6/F.py

LIkelion-at-KOREATECH/LikeLion_Django_Study_Summary

c788182af5bcfd16bdd4b57235a48659758e494b

[ "MIT" ]

28

2019-10-15T13:15:26.000Z

2021-11-08T08:23:45.000Z

Python_Challenge_115/6/F.py

jhleed/LikeLion_Django_Study_Summary

c788182af5bcfd16bdd4b57235a48659758e494b

[ "MIT" ]

null

Python_Challenge_115/6/F.py

jhleed/LikeLion_Django_Study_Summary

c788182af5bcfd16bdd4b57235a48659758e494b

[ "MIT" ]

17

2019-09-09T00:15:36.000Z

2021-01-28T13:08:51.000Z

''' Statement Fibonacci numbers are the numbers in the integer sequence starting with 1, 1 where every number after the first two is the sum of the two preceding ones: 1, 1, 2, 3, 5, 8, 13, 21, 34, ... Given a positive integer n, print the nth Fibonacci number. Example input 6 Example output 8 ''' num = int(input()...

18.565217

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3.853333

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0.020761

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0

0.166667

0

null

0

null

0

1

0

de2ffb901bbfbc3af2061583ab91b8842066be1f

1,376

py

Python

cluster.py

YektaDmrc/UW_GEMSEC

b9e0c995e34f098fdb607fa35a3fe47663839086

[ "MIT" ]

1

2018-07-10T23:37:47.000Z

cluster.py

YektaDmrc/UW_GEMSEC

b9e0c995e34f098fdb607fa35a3fe47663839086

[ "MIT" ]

null

cluster.py

YektaDmrc/UW_GEMSEC

b9e0c995e34f098fdb607fa35a3fe47663839086

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Jul 13 15:38:11 2018 @author: Yekta """ import csv import numpy as np from sklearn.cluster import KMeans clon = list(csv.reader(open("C:/Users/Yekta/Desktop/stajvol3/MoS2BP Binding Characterization_07-11-17_DY.csv"))) for k in range(1,15): fin=[] for m i...

32.761905

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1,376

3.936275

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0.061021

0.049813

0.05604

0.199253

0.159402

0.107098

0

0.065239

0.253634

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42

131

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0

1

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0

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0.103448

0

null

0

null

0

1

0

de319a3d0a027f8b448c09d0528c44c359822d8e

1,440

py

Python

test_collision/test_discretedynamicsworld.py

Klumhru/boost-python-bullet

d9ffae09157280f60cb469d8c9c9fa4c1920e3ce

[ "MIT" ]

2

2015-09-16T15:24:39.000Z

2015-11-18T11:53:51.000Z

test_collision/test_discretedynamicsworld.py

Klumhru/boost-python-bullet

d9ffae09157280f60cb469d8c9c9fa4c1920e3ce

[ "MIT" ]

1

2018-04-04T15:33:20.000Z

test_collision/test_discretedynamicsworld.py

Klumhru/boost-python-bullet

d9ffae09157280f60cb469d8c9c9fa4c1920e3ce

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_collision.test_discretedynamicsworld """ from __future__ import unicode_literals, print_function, absolute_import import unittest import bullet from .test_worlds import WorldTestDataMixin class DiscreteDynamicsWorldTestCase(WorldTestDataMixin, ...

28.8

72

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null

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de31e808778594864eecf61a23f3d4e16b0f2a4b

820

py

Python

force_wfmanager/notifications/tests/test_ui_notification_hooks_factory.py

force-h2020/force-wfmanager

bcd488cd37092cacd9d0c81b544ee8c1654d1d92

[ "BSD-2-Clause" ]

1

2019-08-19T16:02:20.000Z

force_wfmanager/notifications/tests/test_ui_notification_hooks_factory.py

force-h2020/force-wfmanager

bcd488cd37092cacd9d0c81b544ee8c1654d1d92

[ "BSD-2-Clause" ]

396

2017-07-18T15:19:55.000Z

2021-05-03T06:23:06.000Z

force_wfmanager/notifications/tests/test_ui_notification_hooks_factory.py

force-h2020/force-wfmanager

bcd488cd37092cacd9d0c81b544ee8c1654d1d92

[ "BSD-2-Clause" ]

2

2019-03-05T16:23:10.000Z

2020-04-16T08:59:11.000Z

# (C) Copyright 2010-2020 Enthought, Inc., Austin, TX # All rights reserved. import unittest from force_wfmanager.notifications.ui_notification_hooks_manager \ import \ UINotificationHooksManager from force_wfmanager.notifications.ui_notification_plugin import \ UINotificationPlugin class TestUINotifi...

31.538462

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null

0

null

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0

de35289eea69e5ceb7febfc7fa32b43c5609a79c

887

py

Python

src/commands/reload.py

zaanposni/umfrageBot

3e19dc0629cde394da2ae8706e6e043b4e87059d

[ "MIT" ]

6

2019-08-15T20:19:38.000Z

2021-02-28T21:33:19.000Z

src/commands/reload.py

zaanposni/umfrageBot

3e19dc0629cde394da2ae8706e6e043b4e87059d

[ "MIT" ]

31

2019-08-14T08:42:08.000Z

2020-05-07T13:43:43.000Z

src/commands/reload.py

zaanposni/umfrageBot

3e19dc0629cde394da2ae8706e6e043b4e87059d

[ "MIT" ]

5

2019-08-17T13:39:53.000Z

2020-04-01T07:25:51.000Z

from bt_utils.console import Console from bt_utils.config import cfg from bt_utils.embed_templates import SuccessEmbed, WarningEmbed from bt_utils.handle_sqlite import DatabaseHandler SHL = Console('BundestagsBot Reload') DB = DatabaseHandler() settings = { 'name': 'reload', 'channels': ['team'], 'mod_cmd...

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null

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0

de38b348a7c3f728ca43e602a33e53edfd8f033d

10,812

py

Python

tests/eth2/beacon/state_machines/forks/test_serenity_block_attestation_validation.py

hwwhww/trinity

614b083a637c665f84b1af228541f37c25d9c665

[ "MIT" ]

2

2020-01-30T21:51:00.000Z

2020-07-22T14:51:05.000Z

tests/eth2/beacon/state_machines/forks/test_serenity_block_attestation_validation.py

hwwhww/trinity

614b083a637c665f84b1af228541f37c25d9c665

[ "MIT" ]

null

tests/eth2/beacon/state_machines/forks/test_serenity_block_attestation_validation.py

hwwhww/trinity

614b083a637c665f84b1af228541f37c25d9c665

[ "MIT" ]

null

import pytest from hypothesis import ( given, settings, strategies as st, ) from eth_utils import ( ValidationError, ) from eth.constants import ( ZERO_HASH32, ) from eth2.beacon.committee_helpers import ( get_crosslink_committees_at_slot, ) from eth2.beacon.state_machines.forks.serenity.block...

31.068966

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10,812

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0.466584

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0

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0

null

0

null

0

1

0

de3966c1044750e98c8968c82831f55e24112044

13,679

py

Python

SeqtaSDSBridge.py

jacobcurulli/SeqtaSDSBridge

19b8da95462d1e0aa8a059c9f8075d8f7ce1b417

[ "CC-BY-4.0" ]

null

SeqtaSDSBridge.py

jacobcurulli/SeqtaSDSBridge

19b8da95462d1e0aa8a059c9f8075d8f7ce1b417

[ "CC-BY-4.0" ]

1

2021-05-21T04:52:28.000Z

2021-05-21T05:00:10.000Z

SeqtaSDSBridge.py

jacobcurulli/SeqtaSDSBridge

19b8da95462d1e0aa8a059c9f8075d8f7ce1b417

[ "CC-BY-4.0" ]

1

2021-04-07T13:50:43.000Z

########################################################################################################### ########################################################################################################### ## SeqtaToSDS ...

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null

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null

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1

0

de3daa1f9c197f223b8adf05ac9c7b5634367d5c

5,945

py

Python

bin/plot_examples/plot_vars_barchart.py

gonzalorodrigo/ScSFWorkload

2301dacf486df8ed783c0ba33cbbde6e9978c17e

[ "BSD-3-Clause-LBNL" ]

1

2019-03-18T18:27:49.000Z

bin/plot_examples/plot_vars_barchart.py

gonzalorodrigo/ScSFWorkload

2301dacf486df8ed783c0ba33cbbde6e9978c17e

[ "BSD-3-Clause-LBNL" ]

1

2020-12-17T21:33:15.000Z

2020-12-17T21:35:41.000Z

bin/plot_examples/plot_vars_barchart.py

gonzalorodrigo/ScSFWorkload

2301dacf486df8ed783c0ba33cbbde6e9978c17e

[ "BSD-3-Clause-LBNL" ]

1

2021-01-05T08:23:20.000Z

""" Plots analysis on the workflow variables for experiments with different workflow types and different %of workflow core hours in the workload. Resuls are plotted as barchars that show how much the vas deviate in single and multi from aware. """ import matplotlib from orchestration import get_central_db from orches...

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null

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1

0

de3df638310dcbe32c189284547dca83d1fe51a7

410

py

Python

devpotato_bot/commands/daily_titles/models/inevitable_title.py

cl0ne/cryptopotato-bot

af62d794adffe186a4f6a4b0aa7ecd4f7e8700a1

[ "MIT" ]

1

2021-05-15T23:41:29.000Z

devpotato_bot/commands/daily_titles/models/inevitable_title.py

cl0ne/cryptopotato-bot

af62d794adffe186a4f6a4b0aa7ecd4f7e8700a1

[ "MIT" ]

1

2022-02-19T20:38:33.000Z

2022-02-19T23:53:39.000Z

devpotato_bot/commands/daily_titles/models/inevitable_title.py

cl0ne/cryptopotato-bot

af62d794adffe186a4f6a4b0aa7ecd4f7e8700a1

[ "MIT" ]

1

2021-05-15T23:42:21.000Z

from __future__ import annotations from .title import TitleFromGroupChat, Base class InevitableTitle(TitleFromGroupChat): __tablename__ = f'{Base.TABLENAME_PREFIX}inevitable_titles' __group_chat_back_populates__ = 'inevitable_titles' def __repr__(self): return ('<InevitableTitle(' ...

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0.1

0.7

0

null

0

null

0

1

0

de3e64921cbcc4e464aa3d32a70cc4b3179f2705

1,034

py

Python

matplotlib/gas_price_overtime.py

MatveiAleksandrovich/Artificial-Intelligence

d3d6f253e7c2256f6f9d490b077bdb50ca1da229

[ "MIT" ]

null

matplotlib/gas_price_overtime.py

MatveiAleksandrovich/Artificial-Intelligence

d3d6f253e7c2256f6f9d490b077bdb50ca1da229

[ "MIT" ]

null

matplotlib/gas_price_overtime.py

MatveiAleksandrovich/Artificial-Intelligence

d3d6f253e7c2256f6f9d490b077bdb50ca1da229

[ "MIT" ]

null

import requests import pandas as pd import matplotlib.pyplot as plt url_gas_data = 'https://raw.githubusercontent.com/KeithGalli/matplotlib_tutorial/master/gas_prices.csv' res1 = requests.get(url_gas_data, allow_redirects=True) with open('gas_prices.csv', 'wb') as file: file.write(res1.content) plt.figure(figsiz...

23.5

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0

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0.142857

0

null

0

null

0

1

0

de40955063f239619674a2b5ecbf4dbaa910621e

2,305

py

Python

integration_tests/test_surveys.py

ONSdigital/sdx-tester

df193867c0d5e9dbf39790c85c41b07a9efed756

[ "MIT" ]

null

integration_tests/test_surveys.py

ONSdigital/sdx-tester

df193867c0d5e9dbf39790c85c41b07a9efed756

[ "MIT" ]

null

integration_tests/test_surveys.py

ONSdigital/sdx-tester

df193867c0d5e9dbf39790c85c41b07a9efed756

[ "MIT" ]

null

import unittest import uuid from app import survey_loader from app import message_manager from app.tester import run_survey class TestSurveys(unittest.TestCase): @classmethod def setUpClass(cls): message_manager.start() @classmethod def tearDownClass(cls): message_manager.stop() ...

37.786885

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2,305

4.957364

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0.046912

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0.195465

0.162627

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0

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0

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1

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false

0.021739

0.108696

0

0.304348

0.108696

0

null

0

null

0

1

0

de42aa506b54f4487685cb532dc908e5f790e4a5

509

py

Python

shared/app_business_logic.py

c-w/python-loadtests

3ffd3dc89780b9372a5d20a71b2becec121ff3d2

[ "Apache-2.0" ]

2

2020-02-12T23:03:09.000Z

2020-02-12T23:09:42.000Z

shared/app_business_logic.py

c-w/python-loadtests

3ffd3dc89780b9372a5d20a71b2becec121ff3d2

[ "Apache-2.0" ]

null

shared/app_business_logic.py

c-w/python-loadtests

3ffd3dc89780b9372a5d20a71b2becec121ff3d2

[ "Apache-2.0" ]

null

from os import environ from azure.storage.table import TableService azure_account_name = environ['AZURE_ACCOUNT_NAME'] azure_account_key = environ['AZURE_ACCOUNT_KEY'] azure_table_name = environ['AZURE_TABLE_NAME'] table = TableService(azure_account_name, azure_account_key) get_entity = table.get_entity def fetch_v...

28.277778

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0.776031

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509

5.125

0.291667

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0.130081

0.151762

0.168022

0

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0.131631

509

17

66

29.941176

0.832579

0

0.119843

0

1

0.076923

false

0

0.153846

0

0.307692

0

null

0

null

0

1

0

de44446f8526c9f2e48dd37b76b2ac71ae33e71b

3,424

py

Python

csrank/dataset_reader/objectranking/letor_object_ranking_dataset_reader.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

[ "Apache-2.0" ]

null

csrank/dataset_reader/objectranking/letor_object_ranking_dataset_reader.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

[ "Apache-2.0" ]

null

csrank/dataset_reader/objectranking/letor_object_ranking_dataset_reader.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

[ "Apache-2.0" ]

1

2018-10-30T08:57:14.000Z

import logging import h5py import numpy as np from sklearn.utils import check_random_state from csrank.constants import OBJECT_RANKING from csrank.dataset_reader.letor_dataset_reader import LetorDatasetReader from csrank.dataset_reader.objectranking.util import sub_sampling NAME = "LetorObjectRankingDatasetReader" ...

39.356322

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0.043032

0

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false

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0.033898

0.338983

0

null

0

null

0

1

0

de481c317eb312cc809e4b8eb2f8383abd96ba97

324

py

Python

src/elrados/views.py

IamShobe/elrados

dd2523e1523591c7a3213dfd062b376f41bb9f18

[ "MIT" ]

2

2018-07-20T11:03:42.000Z

2019-06-06T06:00:12.000Z

src/elrados/views.py

IamShobe/elrados

dd2523e1523591c7a3213dfd062b376f41bb9f18

[ "MIT" ]

null

src/elrados/views.py

IamShobe/elrados

dd2523e1523591c7a3213dfd062b376f41bb9f18

[ "MIT" ]

2

2018-12-18T16:00:34.000Z

2019-04-08T14:29:02.000Z

"""Global index view.""" import pkg_resources from django.shortcuts import render def index(request): """Basic view.""" plugins = \ [plugin.load() for plugin in pkg_resources.iter_entry_points(group='elrados.plugins')] return render(request, "index.html", { "plugins": plugins ...

21.6

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324

5.513514

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324

14

67

23.142857

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0

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false

0

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0

0.444444

0

null

0

null

0

1

0

de48207667680d4095ac834e7b25417f0ab4f83a

2,274

py

Python

examples/old/zipline_momentun.py

sherrytp/TradingEvolved

4bc9cc18244954bff37a80f67cce658bd0802b5d

[ "Apache-2.0" ]

null

examples/old/zipline_momentun.py

sherrytp/TradingEvolved

4bc9cc18244954bff37a80f67cce658bd0802b5d

[ "Apache-2.0" ]

null

examples/old/zipline_momentun.py

sherrytp/TradingEvolved

4bc9cc18244954bff37a80f67cce658bd0802b5d

[ "Apache-2.0" ]

1

2022-03-26T07:11:18.000Z

import pandas as pd import matplotlib.pyplot as plt from zipline.finance.commission import PerShare from zipline.api import set_commission, symbol, order_target_percent import zipline from models.live_momentum import LiveMomentum with open('/Users/landey/Desktop/Eonum/live_model/eouniverse/stock_list.txt', 'r') as f...

30.72973

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0.647757

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2,274

4.648026

0.365132

0.042463

0.038217

0.024062

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0.108988

0

0.036649

0.244063

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0

0.08

0

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1

0.04

false

0

0.12

0

0.16

0

null

0

null

0

1

0

de4860345de948d81c21b1062677ea640e28f033

10,120

py

Python

packages/robotControl/scripts/intercept.py

Falcons-Robocup/code

2281a8569e7f11cbd3238b7cc7341c09e2e16249

[ "Apache-2.0" ]

2

2021-01-15T13:27:19.000Z

2021-08-04T08:40:52.000Z

packages/robotControl/scripts/intercept.py

Falcons-Robocup/code

2281a8569e7f11cbd3238b7cc7341c09e2e16249

[ "Apache-2.0" ]

null

packages/robotControl/scripts/intercept.py

Falcons-Robocup/code

2281a8569e7f11cbd3238b7cc7341c09e2e16249

[ "Apache-2.0" ]

5

2018-05-01T10:39:31.000Z

2022-03-25T03:02:35.000Z

# Copyright 2020 Jan Feitsma (Falcons) # SPDX-License-Identifier: Apache-2.0 #!/usr/bin/env python3 # Jan Feitsma, March 2020 # Robot will continuously intercept around current position. # # For description and usage hints, execute with '-h' import sys, os import time import logging, signal logging.basicConfig(leve...

42.700422

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0.24375

0

null

0

null

0

1

0

de4f135b4907a9ad1ee036150f5775fba0b81256

4,859

py

Python

arpym/tools/plc.py

dpopadic/arpmRes

ddcc4de713b46e3e9dcb77cc08c502ce4df54f76

[ "MIT" ]

6

2021-04-10T13:24:30.000Z

2022-03-26T08:20:42.000Z

arpym/tools/plc.py

dpopadic/arpmRes

ddcc4de713b46e3e9dcb77cc08c502ce4df54f76

[ "MIT" ]

null

arpym/tools/plc.py

dpopadic/arpmRes

ddcc4de713b46e3e9dcb77cc08c502ce4df54f76

[ "MIT" ]

6

2019-08-13T22:02:17.000Z

2022-02-09T17:49:12.000Z

# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from matplotlib.gridspec import GridSpec, GridSpecFromSubplotSpec from matplotlib.ticker import FuncFormatter def tick_label_func(y, pos=None): return '%1.f' % (5 * y * 1e-2 // 5) def tick_label_func_1(y, pos=None): return '%0.0f' ...

35.210145

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0.353152

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0.108696

0

null

0

null

0

1

0

de4fbddd1a8e5c3c47f15c39acb99e707f22e65b

617

py

Python

src/alerter.py

Jawgo/DiscordBot

43dccce80aa8d8bd51b44c0de732fd70d9194672

[ "MIT" ]

null

src/alerter.py

Jawgo/DiscordBot

43dccce80aa8d8bd51b44c0de732fd70d9194672

[ "MIT" ]

null

src/alerter.py

Jawgo/DiscordBot

43dccce80aa8d8bd51b44c0de732fd70d9194672

[ "MIT" ]

null

import os from discord import Webhook, RequestsWebhookAdapter, Colour, Embed def send_alert(item): hook = os.environ.get("WEB_HOOK") webhook = Webhook.from_url(hook, adapter=RequestsWebhookAdapter()) embedVar = Embed(title="Stock Hunter") if item.in_stock: embedVar.description = "{} **IN STOC...

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null

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1

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de50a4c4fb04e2350cc10caa2aea9a7a75fcac8c

4,593

py

Python

dataset_preproc/preproc_video/face_extract.py

RicardoP0/multimodal-matchmap

aa44c574a57073833004172734394882889d8d3b

[ "MIT" ]

null

dataset_preproc/preproc_video/face_extract.py

RicardoP0/multimodal-matchmap

aa44c574a57073833004172734394882889d8d3b

[ "MIT" ]

null

dataset_preproc/preproc_video/face_extract.py

RicardoP0/multimodal-matchmap

aa44c574a57073833004172734394882889d8d3b

[ "MIT" ]

null

#%% #https://github.com/timesler/facenet-pytorch from facenet_pytorch import MTCNN, extract_face import torch import numpy as np import mmcv, cv2 import os import matplotlib.pyplot as plt from PIL import Image # %% #%% device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu') print('Running on...

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null

0

null

0

1

0

de5241403b212e20d0b5a9c1eb86d5461e49bad7

957

py

Python

hlrl/torch/utils/contexts/training.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/utils/contexts/training.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/utils/contexts/training.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

from contextlib import contextmanager import torch.nn as nn @contextmanager def evaluate(module: nn.Module): """ A context manager for evaluating the module. Args: module: The module to switch to evaluating in the context. Returns: A generator for the context of the module. """ ...

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957

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null

0

null

0

1

0

de5df9efa200676cbee6ac7078451697101f76eb

2,931

py

Python

flora_tools/experiments/measure_time_irq_process.py

Atokulus/flora-tools

6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0

[ "MIT" ]

1

2020-11-20T16:36:17.000Z

flora_tools/experiments/measure_time_irq_process.py

Atokulus/flora-tools

6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0

[ "MIT" ]

null

flora_tools/experiments/measure_time_irq_process.py

Atokulus/flora-tools

6f878a4495e4dcb6b9bc19a75aaac37b9dfb16b0

[ "MIT" ]

null

from flora_tools.experiment import * class MeasureTimeIRQProcess(Experiment): def __init__(self): description = "Measures the time needed for an IRQ to be processed." Experiment.__init__(self, description) def run(self, bench, iterations=10000): self.iterations = iterations ...

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0.018182

0

null

0

null

0

1

0

de61aeb69172f0bbf84a85482ba65c30efe863a2

1,901

py

Python

main.py

SHGoldfarb/fantastic-barnacle

64650155ef8172530a6f88be6e7361bfc7e6bfa2

[ "MIT" ]

null

main.py

SHGoldfarb/fantastic-barnacle

64650155ef8172530a6f88be6e7361bfc7e6bfa2

[ "MIT" ]

null

main.py

SHGoldfarb/fantastic-barnacle

64650155ef8172530a6f88be6e7361bfc7e6bfa2

[ "MIT" ]

null

import requests import os from datetime import datetime import pandas as pd def ensure_folder_exists(foldername): try: # Create tmp folder os.mkdir(foldername) print("Directory created: " + foldername) except FileExistsError: pass def download_and_save(url, filename): pri...

23.7625

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0.043478

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0.065217

0

null

0

null

0

1

0

de681128c0eb4ded13f92d6720603223e15efc17

4,560

py

Python

train_n_test/train_decoder.py

kamieen03/style-transfer-net

c9f56aa579553be8c72f37ce975ba88dbd775605

[ "BSD-2-Clause" ]

2

2019-12-14T14:59:22.000Z

2020-01-30T16:17:28.000Z

train_n_test/train_decoder.py

kamieen03/style-transfer-net

c9f56aa579553be8c72f37ce975ba88dbd775605

[ "BSD-2-Clause" ]

null

train_n_test/train_decoder.py

kamieen03/style-transfer-net

c9f56aa579553be8c72f37ce975ba88dbd775605

[ "BSD-2-Clause" ]

1

2020-01-16T20:03:35.000Z

#!/usr/bin/env python3 import os, sys sys.path.append(os.path.abspath(__file__ + "/../../")) # just so we can use 'libs' import torch.utils.data import torch.optim as optim from torch import nn import numpy as np import torch from libs.Loader import Dataset from libs.shufflenetv2 import ShuffleNetV2AutoEncoder BA...

35.905512

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0.034884

0

null

0

null

0

1

0

de6c1a64c58a8aca902a8fc78dd2204b84031a65

2,871

py

Python

src/main/create/c_chains_user_json.py

WikiCommunityHealth/wikimedia-revert

b584044d8b6a61a79d98656db356bf1f74d23ee0

[ "MIT" ]

null

src/main/create/c_chains_user_json.py

WikiCommunityHealth/wikimedia-revert

b584044d8b6a61a79d98656db356bf1f74d23ee0

[ "MIT" ]

null

src/main/create/c_chains_user_json.py

WikiCommunityHealth/wikimedia-revert

b584044d8b6a61a79d98656db356bf1f74d23ee0

[ "MIT" ]

null

#%% # PAGE EXAMPLE # {'title': 'Zuppa_di_pesce_(film)', # 'chains': [{'revisions': ['95861493', '95861612', '95973728'], # 'users': {'93.44.99.33': '', 'Kirk39': '63558', 'AttoBot': '482488'}, # 'len': 3, # 'start': '2018-04-01 04:54:40.0', # 'end': '2018-04-05 07:36:26.0'}], # 'n_chains': 1, # 'n_rever...

26.1

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null

0

null

0

1

0

de72e8f348089a00d8a491df1f651cf4a945ca9c

1,500

py

Python

Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py

dingwenzheng730/Leet

c08bd48e8dcc6bca41134d218d39f66bfc112eaf

[ "MIT" ]

1

2021-06-15T21:01:53.000Z

Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py

dingwenzheng730/Leet

c08bd48e8dcc6bca41134d218d39f66bfc112eaf

[ "MIT" ]

null

Heap/378-Kth_Smalles_Element_in_a_Sorted_Matrix.py

dingwenzheng730/Leet

c08bd48e8dcc6bca41134d218d39f66bfc112eaf

[ "MIT" ]

null

''' Given an n x n matrix where each of the rows and columns are sorted in ascending order, return the kth smallest element in the matrix. Note that it is the kth smallest element in the sorted order, not the kth distinct element. Input: matrix = [[1,5,9],[10,11,13],[12,13,15]], k = 8 Output: 13 Explanation: The elem...

24.193548

134

0.611333

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1,500

3.24911

0.377224

0.010953

0.013143

0.021906

0.200438

0.192771

0.07667

0

0.079821

0.256667

1,500

61

135

24.590164

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0.694667

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1

0.076923

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0

0.230769

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null

0

null

0

1

0

de73b0477272b09621a0a7e87406fe9c6c2a1f06

5,088

py

Python

baseStation/test/vision/service/test_visionService.py

olgam4/design3

6e05d123a24deae7dda646df535844a158ef5cc0

[ "WTFPL" ]

null

baseStation/test/vision/service/test_visionService.py

olgam4/design3

6e05d123a24deae7dda646df535844a158ef5cc0

[ "WTFPL" ]

null

baseStation/test/vision/service/test_visionService.py

olgam4/design3

6e05d123a24deae7dda646df535844a158ef5cc0

[ "WTFPL" ]

null

from unittest import TestCase from unittest.mock import Mock import numpy as np from pathfinding.domain.angle import Angle from pathfinding.domain.coord import Coord from vision.domain.image import Image from vision.domain.rectangle import Rectangle from vision.infrastructure.cvVisionException import CameraDoesNotExi...

45.428571

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0.725825

631

5,088

5.459588

0.179081

0.069666

0.073149

0.027576

0.501306

0.406676

0.34717

0.327431

0.297823

0

0.009035

0.195165

5,088

111

118

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0.832234

0

0.235294

0

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0.105882

false

0

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0

0.294118

0

null

0

null

0

1

0

de758aaeb7ae98b14c58fbe707173fad48237087

8,753

py

Python

bmdal/layer_features.py

dholzmueller/bmdal_reg

1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf

[ "Apache-2.0" ]

3

2022-03-19T21:30:10.000Z

2022-03-30T08:20:48.000Z

bmdal/layer_features.py

dholzmueller/bmdal_reg

1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf

[ "Apache-2.0" ]

null

bmdal/layer_features.py

dholzmueller/bmdal_reg

1a9e9c19fbd350ec32a2bd7b505e7015df7dc9bf

[ "Apache-2.0" ]

null

from .feature_maps import * import torch.nn as nn class LayerGradientComputation: """ Abstract base class that can be used as a second base class for layers that support the computation of gradient features """ def __init__(self): super().__init__() # in case this is used with multiple i...

44.207071

118

0.682052

1,148

8,753

5.026132

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0.02669

0.016984

0.014558

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0.238821

0.217331

0.188215

0.174697

0

0.003487

0.24643

8,753

197

119

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0.871286

0.434251

0

0.202381

0

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false

0

0.02381

0.333333

0

null

0

null

0

1

0

de759ba42ef02e88463fee41b02959bd0f0ddd2c

35,389

py

Python

pinsey/gui/MainWindow.py

RailKill/Pinsey

72a283e6c5683b27918b511d80e45c3af4e67539

[ "MIT" ]

3

2021-02-01T06:47:06.000Z

2022-01-09T05:54:35.000Z

pinsey/gui/MainWindow.py

RailKill/Pinsey

72a283e6c5683b27918b511d80e45c3af4e67539

[ "MIT" ]

4

2019-10-23T09:52:36.000Z

2022-03-11T23:17:23.000Z

pinsey/gui/MainWindow.py

RailKill/Pinsey

72a283e6c5683b27918b511d80e45c3af4e67539

[ "MIT" ]

null

from configparser import ConfigParser from configparser import DuplicateSectionError from PyQt5 import QtCore, QtGui, QtWidgets from pinsey import Constants from pinsey.Utils import clickable, center, picture_grid, horizontal_line, resolve_message_sender, name_set, windows from pinsey.gui.MessageWindow import MessageW...

50.700573

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0.008882

0.316395

0.192558

0.117433

0.102286

0.086532

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0.084249

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null

0

null

0

1

0

de766a3b6f5c4477c098e9f336005c2394afbbc1

1,506

py

Python

app/api/api_v1/tasks/emails.py

cdlaimin/fastapi

4acf1a1da4a1eedd81a3bdf6256661c2464928b9

[ "BSD-3-Clause" ]

null

app/api/api_v1/tasks/emails.py

cdlaimin/fastapi

4acf1a1da4a1eedd81a3bdf6256661c2464928b9

[ "BSD-3-Clause" ]

null

app/api/api_v1/tasks/emails.py

cdlaimin/fastapi

4acf1a1da4a1eedd81a3bdf6256661c2464928b9

[ "BSD-3-Clause" ]

null

# -*- encoding: utf-8 -*- """ @File : emails.py @Contact : 1053522308@qq.com @License : (C)Copyright 2017-2018, Liugroup-NLPR-CASIA @Modify Time @Author @Version @Desciption ------------ ------- -------- ----------- 2020/9/27 10:22 下午 wuxiaoqiang 1.0 None """ import as...

34.227273

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0.023835

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43

109

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0

0.08

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0.24

0.04

0

null

0

null

0

1

0

de76f5e1a1407299a65c28e63772cca898458059

13,487

py

Python

lightwood/encoders/text/distilbert.py

ritwik12/lightwood

7975688355fba8b0f8349dd55a1b6cb625c3efd0

[ "MIT" ]

null

lightwood/encoders/text/distilbert.py

ritwik12/lightwood

7975688355fba8b0f8349dd55a1b6cb625c3efd0

[ "MIT" ]

null

lightwood/encoders/text/distilbert.py

ritwik12/lightwood

7975688355fba8b0f8349dd55a1b6cb625c3efd0

[ "MIT" ]

null

import time import copy import random import logging from functools import partial import numpy as np import torch from torch.utils.data import DataLoader from transformers import DistilBertModel, DistilBertForSequenceClassification, DistilBertTokenizer, AlbertModel, AlbertForSequenceClassification, DistilBertTokenize...

46.993031

456

0.671091

1,740

13,487

4.932759

0.183333

0.026215

0.009088

0.018758

0.499243

0.464406

0.40487

0.372364

0.366888

0

0.013556

0.228813

13,487

286

457

47.157343

0.811653

0.061837

0

0.308824

0

0.056413

0.007437

0

0.003497

0

1

0.034314

false

0.004902

0.098039

0

0.151961

0.009804

0

null

0

null

0

1

0

de775456d4d41592b9970922b77c527e29122163

4,542

py

Python

scripts/scopdominfo.py

stivalaa/cuda_satabsearch

b947fb711f8b138e5a50c81e7331727c372eb87d

[ "MIT" ]

null

scripts/scopdominfo.py

stivalaa/cuda_satabsearch

b947fb711f8b138e5a50c81e7331727c372eb87d

[ "MIT" ]

null

scripts/scopdominfo.py

stivalaa/cuda_satabsearch

b947fb711f8b138e5a50c81e7331727c372eb87d

[ "MIT" ]

null

#!/usr/bin/env python ############################################################################### # # scomdominfo.py - Report information folds and classes of a list of SCOP sids # # File: scomdominfo.py # Author: Alex Stivala # Created: November 2008 # # $Id: scopdominfo.py 3009 2009-12-08 03:01:48Z alexs $ # ...

30.689189

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4,542

4.548986

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0.018567

0.015596

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0.017081

0

0.017721

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0

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false

0

0.06383

0

0.12766

0

null

0

null

0

1

0

de79c16d6df471bd5320f3fc4154354634f400a7

1,334

py

Python

serverless/pytorch/foolwood/siammask/nuclio/model_handler.py

arthurtibame/cvat

0062ecdec34a9ffcad33e1664a7cac663bec4ecf

[ "MIT" ]

null

serverless/pytorch/foolwood/siammask/nuclio/model_handler.py

arthurtibame/cvat

0062ecdec34a9ffcad33e1664a7cac663bec4ecf

[ "MIT" ]

null

serverless/pytorch/foolwood/siammask/nuclio/model_handler.py

arthurtibame/cvat

0062ecdec34a9ffcad33e1664a7cac663bec4ecf

[ "MIT" ]

1

2021-09-17T10:19:30.000Z

# Copyright (C) 2020 Intel Corporation # # SPDX-License-Identifier: MIT from tools.test import * import os class ModelHandler: def __init__(self): # Setup device self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') torch.backends.cudnn.benchmark = True base_d...

34.205128

93

0.614693

166

1,334

4.813253

0.463855

0.050063

0.060075

0.035044

0.042553

0

0.006122

0.265367

1,334

38

94

35.105263

0.809184

0.073463

0

0.093648

0.038274

0

1

0.076923

false

0

0.115385

0

0.307692

0

null

0

null

0

1

0

de79c50bcf2db093ce388c48ecf4f5cdef4ddb45

10,842

py

Python

pynmt/__init__.py

obrmmk/demo

b5deb85b2b2bf118b850f93c255ee88d055156a8

[ "MIT" ]

null

pynmt/__init__.py

obrmmk/demo

b5deb85b2b2bf118b850f93c255ee88d055156a8

[ "MIT" ]

null

pynmt/__init__.py

obrmmk/demo

b5deb85b2b2bf118b850f93c255ee88d055156a8

[ "MIT" ]

1

2021-11-23T14:04:36.000Z

import torch import torch.nn as nn from torch.nn import (TransformerEncoder, TransformerDecoder, TransformerEncoderLayer, TransformerDecoderLayer) from torch import Tensor from typing import Iterable, List import math import os import numpy as np try: from janome.tokenizer import Tokenizer ex...

36.14

168

0.620365

1,348

10,842

4.735905

0.207715

0.019737

0.012061

0.016291

0.181391

0.124843

0.110902

0.099937

0.053258

0.039474

0

0.011876

0.269969

10,842

299

169

36.26087

0.794694

0.078676

0

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0

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0

1

0.098522

false

0

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0.004926

0

null

0

null

0

1

0

de7c4534ed26f1d3158aaf6b53415fa79e0c249d

574

py

Python

patron/__init__.py

rafaelaraujobsb/patron

b2d23d4149a5f48156a4a2b0638daac33a66cc6a

[ "MIT" ]

null

patron/__init__.py

rafaelaraujobsb/patron

b2d23d4149a5f48156a4a2b0638daac33a66cc6a

[ "MIT" ]

null

patron/__init__.py

rafaelaraujobsb/patron

b2d23d4149a5f48156a4a2b0638daac33a66cc6a

[ "MIT" ]

null

from flask import Flask from loguru import logger from flasgger import Swagger from patron.api import api_bp logger.add("api.log", format="{time:YYYY-MM-DD at HH:mm:ss} | {level} | {message}", rotation="500 MB") template = { "swagger": "2.0", "info": { "title": "PATRON", "description": "", ...

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0.045455

0

null

0

null

0

1

0

de7dc549a1952d8dda02b33f493f1bb859b37917

735

py

Python

src/perceptron.py

tomoki/deep-learning-from-scratch

0b6144806b6b79462d6d65616a64b1774f876973

[ "MIT" ]

1

2018-08-31T09:39:11.000Z

src/perceptron.py

tomoki/deep-learning-from-scratch

0b6144806b6b79462d6d65616a64b1774f876973

[ "MIT" ]

null

src/perceptron.py

tomoki/deep-learning-from-scratch

0b6144806b6b79462d6d65616a64b1774f876973

[ "MIT" ]

null

import numpy as np import matplotlib.pylab as plt def step_function(x): y = x > 0 return y.astype(np.int) def sigmoid(x): return 1 / (1 + np.exp(-x)) def relu(x): return np.maximum(0, x) def AND(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.7 tmp = np.sum(w * x) + b...

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735

2.510949

0.262774

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0.043605

0.061047

0.590116

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0.090909

0.356463

735

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0.472222

0

null

0

null

0

1

0

de82bbe06365e1885857bfec2f5eb9144e01b08c

1,729

py

Python

dncnn/dncnn.py

kTonpa/DnCNN

aca7e07ccbe6b75bee7d4763958dade4a8eee609

[ "MIT" ]

null

dncnn/dncnn.py

kTonpa/DnCNN

aca7e07ccbe6b75bee7d4763958dade4a8eee609

[ "MIT" ]

null

dncnn/dncnn.py

kTonpa/DnCNN

aca7e07ccbe6b75bee7d4763958dade4a8eee609

[ "MIT" ]

null

""" Project: dncnn Author: khalil MEFTAH Date: 2021-11-26 DnCNN: Deep Neural Convolutional Network for Image Denoising model implementation """ import torch from torch import nn import torch.nn.functional as F # helper functions def eval_decorator(fn): def inner(model, *args, **kwargs): was_training = m...

25.80597

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1,729

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0.079096

0.056497

0.343691

0.274011

0.234463

0

0.017955

0.259109

1,729

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0.811085

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0.05

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0.025

0.35

0

null

0

null

0

1

0

de848d1a58c8622dd6042ce58386b34d78eaa285

41,886

py

Python

scripts/fabfile/tasks.py

Alchem-Lab/deneva

5201ef12fd8235fea7833709b8bffe45f53877eb

[ "Apache-2.0" ]

88

2017-01-19T03:15:24.000Z

2022-03-30T16:22:19.000Z

scripts/fabfile/tasks.py

Alchem-Lab/deneva

5201ef12fd8235fea7833709b8bffe45f53877eb

[ "Apache-2.0" ]

null

scripts/fabfile/tasks.py

Alchem-Lab/deneva

5201ef12fd8235fea7833709b8bffe45f53877eb

[ "Apache-2.0" ]

22

2017-01-20T10:22:31.000Z

2022-02-10T18:55:36.000Z

#!/usr/bin/python from __future__ import print_function import logging from fabric.api import task,run,local,put,get,execute,settings from fabric.decorators import * from fabric.context_managers import shell_env,quiet from fabric.exceptions import * from fabric.utils import puts,fastprint from time import sleep from c...

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0.53758

0.492384

0.465648

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41,886

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0.020478

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0.080774

0.029579

0

null

0

null

0

1

0

de8b266bc66642e780d1f515de7639ab0386bd85

2,690

py

Python

scheduler.py

shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection

5706b82ff67911864967aa72adf7e4a994c7ec89

[ "MIT" ]

null

scheduler.py

shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection

5706b82ff67911864967aa72adf7e4a994c7ec89

[ "MIT" ]

null

scheduler.py

shuaiqi361/a-PyTorch-Tutorial-to-Object-Detection

5706b82ff67911864967aa72adf7e4a994c7ec89

[ "MIT" ]

null

import json import os import torch import math def adjust_learning_rate(optimizer, scale): """ Scale learning rate by a specified factor. :param optimizer: optimizer whose learning rate must be shrunk. :param scale: factor to multiply learning rate with. """ for param_group in optimizer.param...

36.351351

106

0.600743

361

2,690

4.293629

0.168975

0.109677

0.085161

0.058065

0.706452

0.693548

0.666452

0.605161

0.530323

0

0.007748

0.280297

2,690

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107

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0.142007

0

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1

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false

0

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0.255319

0.12766

0

null

0

null

0

1

0

de8c915237260239c036a5cbacb8018944e669da

8,774

py

Python

lego_sorter.py

bmleedy/lego_sorter

0164bc0042127f255590d1883b5edadfba781537

[ "BSD-2-Clause" ]

null

lego_sorter.py

bmleedy/lego_sorter

0164bc0042127f255590d1883b5edadfba781537

[ "BSD-2-Clause" ]

null

lego_sorter.py

bmleedy/lego_sorter

0164bc0042127f255590d1883b5edadfba781537

[ "BSD-2-Clause" ]

null

#!/bin/python3 """This is the top-level program to operate the Raspberry Pi based lego sorter.""" # Things I can set myself: AWB, Brightness, crop, exposure_mode, # exposure_speed,iso (sensitivity), overlays, preview_alpha, # preview_window, saturation, shutter_speed, # Thought for future enhancement: at start...

35.379032

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8,774

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0.058824

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0.143791

0.084967

0

null

0

null

0

1

0

de8e8bcbbb73ed82dfadbb561cfbfe8bb447a711

5,017

py

Python

networks/autoencoder/losses.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

networks/autoencoder/losses.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

networks/autoencoder/losses.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

import tensorflow as tf import numpy as np EPS = 1e-5 def KL_monte_carlo(z, mean, sigma=None, log_sigma=None): """Computes the KL divergence at a point, given by z. Implemented based on https://www.tensorflow.org/tutorials/generative/cvae This is the part "log(p(z)) - log(q(z|x)) where z is sampled from...

24.960199

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0.590592

705

5,017

4.060993

0.202837

0.064268

0.033531

0.023053

0.502969

0.418093

0.396787

0.348236

0.284666

0.243451

0

0.012305

0.271078

5,017

200

89

25.085

0.770577

0.370142

0

0.243243

0

0.007105

0

0.013514

1

0.094595

false

0

0.027027

0

0.216216

0

null

0

null

0

1

0

de9037d4a2c6b5fbbf0a5f4e22a9796ae161e5b0

4,288

py

Python

Onderdelen/Hoofdscherm.py

RemcoTaal/IDP

33959e29235448c38b7936f16c7421a24130e745

[ "MIT" ]

null

Onderdelen/Hoofdscherm.py

RemcoTaal/IDP

33959e29235448c38b7936f16c7421a24130e745

[ "MIT" ]

null

Onderdelen/Hoofdscherm.py

RemcoTaal/IDP

33959e29235448c38b7936f16c7421a24130e745

[ "MIT" ]

null

from tkinter import * import os, xmltodict, requests def knop1(): 'Open GUI huidig station' global root root.destroy() os.system('Huidig_Station.py') def knop2(): 'Open GUI ander station' global root root.destroy() os.system('Ander_Station.py') def nl_to_eng(): 'Wanneer er op d...

34.861789

117

0.541045

422

4,288

5.473934

0.341232

0.020779

0.041558

0.05368

0.334199

0.207792

0.179221

0.112554

0

0.048206

0.356576

4,288

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118

35.147541

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false

0

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0.0625

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null

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null

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