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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ae02de2b9a04ab2ec51a173473001761384a9382 | 781 | py | Python | flask_web/config/default.py | Max-PJB/python-learning2 | e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd | [
"MIT"
] | null | null | null | flask_web/config/default.py | Max-PJB/python-learning2 | e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd | [
"MIT"
] | null | null | null | flask_web/config/default.py | Max-PJB/python-learning2 | e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd | [
"MIT"
] | null | null | null | # coding: utf-8
import os
| 24.40625 | 88 | 0.50064 |
7ac3c07bce8003bb3e2b3c3cce602636e606ad54 | 460 | py | Python | sample_pointcloud.py | jiameng1010/pointNet | 17d230f46f64136baba2c3d6cb7f05ab4bbb9f31 | [
"MIT"
] | null | null | null | sample_pointcloud.py | jiameng1010/pointNet | 17d230f46f64136baba2c3d6cb7f05ab4bbb9f31 | [
"MIT"
] | null | null | null | sample_pointcloud.py | jiameng1010/pointNet | 17d230f46f64136baba2c3d6cb7f05ab4bbb9f31 | [
"MIT"
] | 1 | 2019-02-03T12:19:36.000Z | 2019-02-03T12:19:36.000Z | from pyntcloud import PyntCloud
import pyembree
import numpy as np
import trimesh
from trimesh import sample, ray, triangles
from trimesh.ray.ray_pyembree import RayMeshIntersector
import pandas as pd
cloud = PyntCloud.from_file("/home/mjia/Documents/ShapeCompletion/test.ply")
sample = cloud.get_sample(name='mesh_ran... | 28.75 | 81 | 0.806522 |
7ac488b99ab139e2a02a5b3e6b204fadcc8e4335 | 2,842 | py | Python | packages/asv_perception_segmentation/src/kaffe/caffe/resolver.py | rolker/asv_perception | 395e5ebbd28790257c0c5188da6d409b49a64253 | [
"BSD-3-Clause"
] | 11 | 2020-12-08T17:41:56.000Z | 2022-03-27T08:32:30.000Z | packages/asv_perception_segmentation/src/kaffe/caffe/resolver.py | 20-210-River-Data-Analysis-Captone/asv_perception | a396b1ca980c2ddcb0480804dbc4c7e34df91fba | [
"BSD-3-Clause"
] | null | null | null | packages/asv_perception_segmentation/src/kaffe/caffe/resolver.py | 20-210-River-Data-Analysis-Captone/asv_perception | a396b1ca980c2ddcb0480804dbc4c7e34df91fba | [
"BSD-3-Clause"
] | 10 | 2020-11-30T03:10:47.000Z | 2022-03-06T12:10:09.000Z | """
# License
Each contributor holds copyright over their contributions to Caffe-Tensorflow. In particular:
- Any included network model is provided under its original license.
- Any portion derived from Caffe is provided under its original license.
- Caffe-tensorflow is provided under the MIT license, as specified... | 34.240964 | 93 | 0.697396 |
7ac5aa5c10712fd00bd98ae05b008abfcf61afd7 | 3,731 | py | Python | n_step_sarsa.py | SuperSaiyan-God/Reinforcement-Learning | b43a2997e28ec3bf437c37d060637f6deecf89c6 | [
"MIT"
] | null | null | null | n_step_sarsa.py | SuperSaiyan-God/Reinforcement-Learning | b43a2997e28ec3bf437c37d060637f6deecf89c6 | [
"MIT"
] | null | null | null | n_step_sarsa.py | SuperSaiyan-God/Reinforcement-Learning | b43a2997e28ec3bf437c37d060637f6deecf89c6 | [
"MIT"
] | null | null | null | import numpy as np
import gym
poleThetaSpace = np.linspace(-0.209, 0.209, 10)
poleThetaVelSpace = np.linspace(-4, 4, 10)
cartPosSpace = np.linspace(-2.4, 2.4, 10)
cartVelSpace = np.linspace(-4, 4, 10)
if __name__ == '__main__':
env = gym.make('CartPole-v0')
alpha = 0.1
gamma = 0.9
epsilon = 1.0
s... | 34.546296 | 79 | 0.515679 |
7ac85f7048458c2addf6b3de189fc26545d191a3 | 1,173 | py | Python | codeTest.py | horknfbr/random | 5f34b0dd2846fdeaf4940a5bc804f39c4022c90b | [
"MIT"
] | null | null | null | codeTest.py | horknfbr/random | 5f34b0dd2846fdeaf4940a5bc804f39c4022c90b | [
"MIT"
] | null | null | null | codeTest.py | horknfbr/random | 5f34b0dd2846fdeaf4940a5bc804f39c4022c90b | [
"MIT"
] | null | null | null | #!/bin/env python3
pathString = ["PDX-SFO", "SEA-JFK", "SFO-SEA", "LAX-PDX"]
if __name__ == "__main__":
print(f"Unsorted: { pathString }")
breakPairs(pathString)
| 23.938776 | 77 | 0.498721 |
7ac8b758a4914d28a0b5c6ed5e7469c1911dac47 | 2,526 | py | Python | ASAConfigUsingREST/asa/ASA.py | g-ser/pythonNetworking | 56081fbcfc8a45eb0645cd4cd19322acd2f42acd | [
"MIT"
] | null | null | null | ASAConfigUsingREST/asa/ASA.py | g-ser/pythonNetworking | 56081fbcfc8a45eb0645cd4cd19322acd2f42acd | [
"MIT"
] | null | null | null | ASAConfigUsingREST/asa/ASA.py | g-ser/pythonNetworking | 56081fbcfc8a45eb0645cd4cd19322acd2f42acd | [
"MIT"
] | null | null | null | import requests
from requests.auth import HTTPBasicAuth
from enum import Enum, auto
import json.tool
# suppress the message which comes from the self-signed certificate of ASA
requests.packages.urllib3.disable_warnings()
def sendrequest(verb, headers, url, auth, data=''):
"""
Helper method used by the metho... | 31.575 | 103 | 0.61441 |
7ac8df6afc61122a3443bbed1503b982f80f9727 | 838 | py | Python | Python Programs/count_nummber_in_web.py | Chibi-Shem/Hacktoberfest2020-Expert | 324843464aec039e130e85a16e74b76d310f1497 | [
"MIT"
] | 77 | 2020-10-01T10:06:59.000Z | 2021-11-08T08:57:18.000Z | Python Programs/count_nummber_in_web.py | Chibi-Shem/Hacktoberfest2020-Expert | 324843464aec039e130e85a16e74b76d310f1497 | [
"MIT"
] | 46 | 2020-09-27T04:55:36.000Z | 2021-05-14T18:49:06.000Z | Python Programs/count_nummber_in_web.py | Chibi-Shem/Hacktoberfest2020-Expert | 324843464aec039e130e85a16e74b76d310f1497 | [
"MIT"
] | 327 | 2020-09-26T17:06:03.000Z | 2021-10-09T06:04:39.000Z | import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
url= input('Enter - ')
data= urllib.request.urlopen(url).read().decode()
#print(type('data'))
#data ='''<commentinfo>tag</commentinfo>'''
#print("~~~",data)
c=0
commentsinfo = ET.fromstring(data)#starting tag. ie is "commentinfo" in ... | 33.52 | 94 | 0.695704 |
7aca22cf041ef5a7f5b1aca7a605fe8549b92aca | 9,329 | py | Python | spaceshooter.py | emBrileg08/Space-Shooter | bd7779000675405bc389afe0de5806f45c6c632d | [
"MIT"
] | null | null | null | spaceshooter.py | emBrileg08/Space-Shooter | bd7779000675405bc389afe0de5806f45c6c632d | [
"MIT"
] | null | null | null | spaceshooter.py | emBrileg08/Space-Shooter | bd7779000675405bc389afe0de5806f45c6c632d | [
"MIT"
] | null | null | null | """
spaceshooter.py
Author: emBrileg08
Credit: Spacewar Source Code
www.pythoncentral.io for information on random number generation
Assignment:
Write and submit a program that implements the spacewar game:
https://github.com/HHS-IntroProgramming/Spacewar
"""
from ggame import App, Sprite, ImageAsset, Frame
import ran... | 33.557554 | 185 | 0.554722 |
7acab154c2fe79d2a9e8272d3e4b0a39eb8dbfdd | 1,399 | py | Python | user/authentication.py | cavidanhasanli/TaskManager | 6610370046ed3af228746c9590f23a69a77a9b23 | [
"MIT"
] | null | null | null | user/authentication.py | cavidanhasanli/TaskManager | 6610370046ed3af228746c9590f23a69a77a9b23 | [
"MIT"
] | null | null | null | user/authentication.py | cavidanhasanli/TaskManager | 6610370046ed3af228746c9590f23a69a77a9b23 | [
"MIT"
] | null | null | null | import bcrypt
from fastapi_jwt_auth import AuthJWT
from passlib.context import CryptContext
from .schemas import UserInDB, UserPassword
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
| 34.121951 | 84 | 0.706219 |
7acb3839960d46daa774c78e73cb0aeba944f283 | 288 | py | Python | ddtruss/__init__.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | 1 | 2020-01-27T12:03:47.000Z | 2020-01-27T12:03:47.000Z | ddtruss/__init__.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | null | null | null | ddtruss/__init__.py | deeepeshthakur/ddtruss | 86aa945d577c6efe752099eee579386762942289 | [
"MIT"
] | null | null | null | from .__about__ import __author__, __email__, __license__, __status__, __version__
from .solver import DataDrivenSolver
from .truss import Truss
__all__ = [
"__author__",
"__email__",
"__license__",
"__version__",
"__status__",
"Truss",
"DataDrivenSolver",
]
| 20.571429 | 82 | 0.697917 |
7acb5c4779bdc1cd6d0e8bfab4d8463b76ef166b | 413 | py | Python | 01 - EstruturaSequencial/13ex.py | lucasbraga10/ListaDeExerciciosPython | 496a6c90e33e60fdf13e841c78a22707aa7139a8 | [
"MIT"
] | null | null | null | 01 - EstruturaSequencial/13ex.py | lucasbraga10/ListaDeExerciciosPython | 496a6c90e33e60fdf13e841c78a22707aa7139a8 | [
"MIT"
] | null | null | null | 01 - EstruturaSequencial/13ex.py | lucasbraga10/ListaDeExerciciosPython | 496a6c90e33e60fdf13e841c78a22707aa7139a8 | [
"MIT"
] | null | null | null | '''13 - Tendo como dado de entrada a altura (h) de uma pessoa, construa um algoritmo que calcule seu peso ideal,
utilizando as seguintes frmulas:
* Para homens: (72.7*h) - 58
* Para mulheres: (62.1*h) - 44.7
'''
altura = float(input('Digite a sua altura em metros: '))
print(f'O peso ideal para homens de {(72.7*al... | 37.545455 | 112 | 0.675545 |
7acba5203922316cadaa6ed16f71cc4bbd1b8a30 | 18,175 | py | Python | tools/preprocess-rcnn-leaf.py | bernardcwj/FYP_2017 | a9c9f6c6f83de018f63f83d283a75f50742108f0 | [
"MIT"
] | null | null | null | tools/preprocess-rcnn-leaf.py | bernardcwj/FYP_2017 | a9c9f6c6f83de018f63f83d283a75f50742108f0 | [
"MIT"
] | null | null | null | tools/preprocess-rcnn-leaf.py | bernardcwj/FYP_2017 | a9c9f6c6f83de018f63f83d283a75f50742108f0 | [
"MIT"
] | null | null | null | import argparse
import os
import glob
import shutil
import json
import re
import hashlib
import numpy as np
import sys
import imgaug as ia
from imgaug import augmenters as iaa
from multiprocessing import Pool, Value, Manager
from lxml import etree
from PIL import Image, ImageFile, ImageDraw, ImageFont
ImageFile.LOAD_T... | 32.806859 | 435 | 0.643301 |
7acbb0a39bd2e8157fd784661046a2e583513ba0 | 1,256 | py | Python | examples/test01.py | pyrate-build/pyrate-build | 8ce9c2dd2b94b50aebfd058e1dd8731cbb192e6d | [
"Apache-2.0"
] | 41 | 2016-01-14T15:28:53.000Z | 2022-03-17T12:43:01.000Z | examples/test01.py | pyrate-build/pyrate-build | 8ce9c2dd2b94b50aebfd058e1dd8731cbb192e6d | [
"Apache-2.0"
] | 5 | 2016-01-20T09:42:30.000Z | 2016-12-22T22:54:27.000Z | examples/test01.py | pyrate-build/pyrate-build | 8ce9c2dd2b94b50aebfd058e1dd8731cbb192e6d | [
"Apache-2.0"
] | 3 | 2016-01-20T09:40:28.000Z | 2020-10-29T09:33:48.000Z | import logging
assert(pyrate_version > (0, 1, 9))
assert(pyrate_version >= '0.1.10')
assert(pyrate_version != '0.0.1')
assert(pyrate_version == pyrate_version)
match('*.cpp', recurse = True)
exe = executable('test.bin', ['test.cpp'])
exe = executable('test.bin', ['test.cpp'])
try:
executable('test.bin', ['test.cpp', ... | 24.153846 | 52 | 0.713376 |
7acc9ee1bc31164a1469a0d9996ab350cd9b5055 | 1,424 | py | Python | pshychocloud/WAPPMessageAnalyzer.py | partu18/pshychocloud | 208d8d3dd646637719f70a86f9d9e43dd2eed929 | [
"MIT"
] | null | null | null | pshychocloud/WAPPMessageAnalyzer.py | partu18/pshychocloud | 208d8d3dd646637719f70a86f9d9e43dd2eed929 | [
"MIT"
] | 2 | 2021-06-08T19:28:41.000Z | 2021-09-07T23:47:14.000Z | pshychocloud/WAPPMessageAnalyzer.py | partu18/pshychocloud | 208d8d3dd646637719f70a86f9d9e43dd2eed929 | [
"MIT"
] | null | null | null | from MessageAnalyzer import MessageAnalyzer
| 45.935484 | 89 | 0.514045 |
7acf58e8499c47b575fb712b1d021c637dfc8af9 | 2,422 | py | Python | ros/src/twist_controller/twist_controller.py | mohamedameen93/An-Autonomous-Vehicle-System-For-Udacity-s-Carla | a7ecd632c5f91f2d6037cbcb0cabff94e6e74869 | [
"MIT"
] | 11 | 2018-10-28T07:06:00.000Z | 2022-02-17T09:20:46.000Z | ros/src/twist_controller/twist_controller.py | mohamedameen93/An-Autonomous-Vehicle-System-For-Udacity-s-Carla | a7ecd632c5f91f2d6037cbcb0cabff94e6e74869 | [
"MIT"
] | 7 | 2018-08-02T08:03:31.000Z | 2018-08-22T12:42:32.000Z | ros/src/twist_controller/twist_controller.py | mohamedameen93/An-Autonomous-Vehicle-System-For-Udacity-s-Carla | a7ecd632c5f91f2d6037cbcb0cabff94e6e74869 | [
"MIT"
] | 4 | 2018-12-24T16:31:54.000Z | 2022-01-14T15:14:10.000Z | import rospy
from pid import PID
from yaw_controller import YawController
from lowpass import LowPassFilter
GAS_DENSITY = 2.858
ONE_MPH = 0.44704
| 30.275 | 93 | 0.593311 |
7ad2878054453ac85ec36e78b1add4ee655d5d36 | 549 | py | Python | test_normalize_sentences.py | Alienmaster/german-asr-lm-tools | acd014181addf01569732bfc437ac130de6dd311 | [
"Apache-2.0"
] | 11 | 2020-06-28T16:08:05.000Z | 2022-01-20T08:50:22.000Z | test_normalize_sentences.py | Alienmaster/german-asr-lm-tools | acd014181addf01569732bfc437ac130de6dd311 | [
"Apache-2.0"
] | 3 | 2020-06-24T11:09:18.000Z | 2021-08-13T15:26:33.000Z | test_normalize_sentences.py | Alienmaster/german-asr-lm-tools | acd014181addf01569732bfc437ac130de6dd311 | [
"Apache-2.0"
] | 3 | 2020-06-13T11:41:49.000Z | 2020-09-14T15:47:46.000Z | import normalize_sentences
import spacy
nlp = spacy.load('de_core_news_sm')
test_sentence = 'Der schlaue Fuchs sagte "Treffen um 16:20 Uhr!" aber war schon 20 Minuten frher da. Im Jahre 1995 schuf er das Gedicht.'
test_sent('Der schlaue Fuchs sagte "Treffen um 16:20 Uhr!" aber war schon 20 Minuten frher da. Im Jahre... | 36.6 | 138 | 0.765027 |
7ad40cb378a37aba085680b342019de80c7c506e | 3,108 | py | Python | apps/product/migrations/0001_initial.py | wasim2263/super-shop-management | 9e8a9fdec7c3f47842eb97b1b682f6ab37b5e22d | [
"MIT"
] | null | null | null | apps/product/migrations/0001_initial.py | wasim2263/super-shop-management | 9e8a9fdec7c3f47842eb97b1b682f6ab37b5e22d | [
"MIT"
] | null | null | null | apps/product/migrations/0001_initial.py | wasim2263/super-shop-management | 9e8a9fdec7c3f47842eb97b1b682f6ab37b5e22d | [
"MIT"
] | null | null | null | # Generated by Django 3.1.12 on 2021-06-17 19:29
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import model_utils.fields
| 49.333333 | 147 | 0.606178 |
7ad867b12b57deb0d8a3770340fa6ea4f03970c1 | 2,184 | py | Python | webapp/test/app_test2.py | PratikMahajan/Recipe-Management-Webapp-And-Infrastructure | 234b0685ee0367a3e37401af3bd77d6fc6cde6ce | [
"Apache-2.0"
] | null | null | null | webapp/test/app_test2.py | PratikMahajan/Recipe-Management-Webapp-And-Infrastructure | 234b0685ee0367a3e37401af3bd77d6fc6cde6ce | [
"Apache-2.0"
] | null | null | null | webapp/test/app_test2.py | PratikMahajan/Recipe-Management-Webapp-And-Infrastructure | 234b0685ee0367a3e37401af3bd77d6fc6cde6ce | [
"Apache-2.0"
] | null | null | null | from app import app
import unittest
import base64
import json
# def test_user_recipe_delete(self):
# response = self.app.delete(
# '/v1/recipe/f5e02bd4-55da-4243-b7fb-980b230a1138', headers={'Authorization': 'Basic ' + self.valid_credentials})
# self.assertEqual(response.status_code, 403)
... | 34.666667 | 125 | 0.579212 |
7ad8b48b9381ffbf31887fa648e99f17d08a746a | 282 | py | Python | Python/Sets/symmertic_diffrence.py | abivilion/Hackerank-Solutions- | e195fb1fce1588171cf12d99d38da32ca5c8276a | [
"MIT"
] | null | null | null | Python/Sets/symmertic_diffrence.py | abivilion/Hackerank-Solutions- | e195fb1fce1588171cf12d99d38da32ca5c8276a | [
"MIT"
] | null | null | null | Python/Sets/symmertic_diffrence.py | abivilion/Hackerank-Solutions- | e195fb1fce1588171cf12d99d38da32ca5c8276a | [
"MIT"
] | null | null | null | # a,b = [set(input().split()) for i in range(4)][1::2]
# print ('\n'.join(sorted(a^b, key=int)))
a,b=(int(input()),input().split())
c,d=(int(input()),input().split())
x=set(b)
y=set(d)
p=y.difference(x)
q=x.difference(y)
r=p.union(q)
print ('\n'.join(sorted(r, key=int)))
| 25.636364 | 55 | 0.567376 |
7ad914f27e6f44076a38b1e259798547bd6b192b | 646 | py | Python | prototype-scripts/src/check_dependencies.py | thomaslienbacher/one-man-rps | 136dd27cfb7e3a7f2a8c016c4c758a3040dd1a02 | [
"MIT"
] | null | null | null | prototype-scripts/src/check_dependencies.py | thomaslienbacher/one-man-rps | 136dd27cfb7e3a7f2a8c016c4c758a3040dd1a02 | [
"MIT"
] | null | null | null | prototype-scripts/src/check_dependencies.py | thomaslienbacher/one-man-rps | 136dd27cfb7e3a7f2a8c016c4c758a3040dd1a02 | [
"MIT"
] | null | null | null | """
Diese Script kann genutzt werden, um zu berprfen ob alle Python Bibliotheken installiert wurden.
Wenn am Ende ein Smiley kommt ist hchst wahrscheinlich alles korrekt installiert.
"""
print("Loading...")
import numpy
import matplotlib
import cv2
from picamera import mmal
import tensorflow
print("Versions installe... | 30.761905 | 101 | 0.763158 |
7adb54044291cf0ab7965afb9c970e868933f5bd | 15,841 | py | Python | mpilot/libraries/eems/basic.py | consbio/MPilot | e0c48b6640982c8234404b2f2ca34859b0c96dc0 | [
"MIT"
] | null | null | null | mpilot/libraries/eems/basic.py | consbio/MPilot | e0c48b6640982c8234404b2f2ca34859b0c96dc0 | [
"MIT"
] | null | null | null | mpilot/libraries/eems/basic.py | consbio/MPilot | e0c48b6640982c8234404b2f2ca34859b0c96dc0 | [
"MIT"
] | null | null | null | from __future__ import division
import copy
from functools import reduce
import numpy
import six
from mpilot import params
from mpilot.commands import Command
from mpilot.libraries.eems.exceptions import (
MismatchedWeights,
MixedArrayLengths,
DuplicateRawValues,
)
from mpilot.libraries.eems.mixins impor... | 31.9375 | 109 | 0.629506 |
7adcd3919f89846eb5519f1327db7bcb0128e793 | 953 | py | Python | backend/api/migrations/0022_auto_20200610_0618.py | luizfilipezs/lousher | 267afbca6874d946801bd55db2c8f64da7dd594e | [
"Apache-2.0"
] | null | null | null | backend/api/migrations/0022_auto_20200610_0618.py | luizfilipezs/lousher | 267afbca6874d946801bd55db2c8f64da7dd594e | [
"Apache-2.0"
] | 14 | 2020-05-13T22:15:29.000Z | 2022-03-12T00:29:32.000Z | backend/api/migrations/0022_auto_20200610_0618.py | luizfilipezs/lousher | 267afbca6874d946801bd55db2c8f64da7dd594e | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.5 on 2020-06-10 06:18
from django.db import migrations, models
| 32.862069 | 258 | 0.593914 |
7add0d34f0931ada4c03cadbbcbbc9f0853f5478 | 4,005 | py | Python | app/view.py | ordinem-net/core | f59a06a51fcac32ba79005ba25842bb258c3a08c | [
"Apache-2.0"
] | null | null | null | app/view.py | ordinem-net/core | f59a06a51fcac32ba79005ba25842bb258c3a08c | [
"Apache-2.0"
] | 2 | 2020-07-17T00:05:30.000Z | 2021-05-08T16:38:39.000Z | app/view.py | ordinem-net/core | f59a06a51fcac32ba79005ba25842bb258c3a08c | [
"Apache-2.0"
] | null | null | null | from app.app import app
from flask import render_template, redirect, url_for, Markup, request
from app.mage import Mage
from const import const
from essense.user import User
from essense.secondary.fs.json_files import JsonFiles
import os
| 33.099174 | 120 | 0.639451 |
7add2abee486f5e568f763dc5a15c1f88fe37f12 | 47,337 | py | Python | run.py | LuxuriaP/editsql | 2a031b620da32170b26ec14f8722ff8a6435d30d | [
"MIT"
] | null | null | null | run.py | LuxuriaP/editsql | 2a031b620da32170b26ec14f8722ff8a6435d30d | [
"MIT"
] | null | null | null | run.py | LuxuriaP/editsql | 2a031b620da32170b26ec14f8722ff8a6435d30d | [
"MIT"
] | null | null | null | """Contains a main function for training and/or evaluating a model."""
import os
import sys
import numpy as np
import random
import shutil
import copy
from parse_args import interpret_args
import data_util
from data_util import atis_data
from model.schema_interaction_model import SchemaInteractionATISModel
from log... | 39.283817 | 117 | 0.537888 |
7adfe972025dbd18a4cc50d3193c37be23c3dc0d | 3,580 | py | Python | app/messages.py | mjogodnik22/mini-amazon | cc7caf9366b862e43271305d1b2d27bb6c08260d | [
"MIT"
] | null | null | null | app/messages.py | mjogodnik22/mini-amazon | cc7caf9366b862e43271305d1b2d27bb6c08260d | [
"MIT"
] | null | null | null | app/messages.py | mjogodnik22/mini-amazon | cc7caf9366b862e43271305d1b2d27bb6c08260d | [
"MIT"
] | null | null | null | from flask import render_template, redirect, url_for, flash, request
from werkzeug.urls import url_parse
from flask_login import login_user, logout_user, current_user
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField, TextAreaField
from wtforms.validators import V... | 45.316456 | 132 | 0.709218 |
7ae020c7e1f46bb4f4ef30411e9ee4cb88e36131 | 864 | py | Python | telluric/constants.py | FlorianPignol/telluric | 285c7e195b2da630b4c76f2552465a424bcdaeb2 | [
"MIT"
] | 81 | 2018-04-12T12:29:06.000Z | 2022-03-17T09:41:55.000Z | telluric/constants.py | FlorianPignol/telluric | 285c7e195b2da630b4c76f2552465a424bcdaeb2 | [
"MIT"
] | 283 | 2018-04-09T11:32:25.000Z | 2022-03-25T22:16:38.000Z | telluric/constants.py | FlorianPignol/telluric | 285c7e195b2da630b4c76f2552465a424bcdaeb2 | [
"MIT"
] | 22 | 2018-04-09T10:53:52.000Z | 2022-02-09T10:38:33.000Z | """Useful constants.
"""
from rasterio.crs import CRS
WGS84_SRID = 4326
#: WGS84 CRS.
WGS84_CRS = CRS.from_epsg(WGS84_SRID)
WEB_MERCATOR_SRID = 3857
#: Web Mercator CRS.
WEB_MERCATOR_CRS = CRS.from_epsg(WEB_MERCATOR_SRID)
# Best widely used, equal area projection according to
# http://icaci.org/documents/ICC_procee... | 27 | 101 | 0.768519 |
7ae0ec90a9546ca116697deb654ef6dc07e67e6d | 1,552 | py | Python | benzhu/file.py | xiaozhu-CHN/virmach | c40465f9c004c9050f513351f5f5844563b733e1 | [
"MIT"
] | 2 | 2020-08-03T18:07:53.000Z | 2020-08-03T18:08:34.000Z | benzhu/file.py | xiaozhu-CHN/virmach | c40465f9c004c9050f513351f5f5844563b733e1 | [
"MIT"
] | 3 | 2021-06-02T00:43:17.000Z | 2022-03-02T15:00:32.000Z | benzhu/file.py | xiaozhu-CHN/virmach | c40465f9c004c9050f513351f5f5844563b733e1 | [
"MIT"
] | 1 | 2020-01-11T03:10:38.000Z | 2020-01-11T03:10:38.000Z | import json
import os
import time | 36.952381 | 93 | 0.478737 |
7ae17d9da913f63cf5c16d0c36dc2d3d3734b46e | 933 | py | Python | trees/Path Sum 3/Solution.py | shahbagdadi/py-algo-n-ds | ff689534b771ddb4869b001b20a0e21b4896bb0a | [
"MIT"
] | null | null | null | trees/Path Sum 3/Solution.py | shahbagdadi/py-algo-n-ds | ff689534b771ddb4869b001b20a0e21b4896bb0a | [
"MIT"
] | null | null | null | trees/Path Sum 3/Solution.py | shahbagdadi/py-algo-n-ds | ff689534b771ddb4869b001b20a0e21b4896bb0a | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
import sys , os
sys.path.append(os.path.abspath('../TreeUtil'))
from util import drawtree , deserialize, serialize
from collections import defaultdict
ip = '[10,5,-3,3,2,null,11,3,-2,null,1]'
root = deserialize(ip)
s = Solution()
ans = s.pathSum(root,8)
print(ans)
| 26.657143 | 55 | 0.580922 |
7ae50d93020389130f7a04ed4c7ed892b8c42fdf | 1,743 | py | Python | tests/test_basics.py | viki-org/logstash-docker | 71d316dfa1792075ffe82398f45561cf25741609 | [
"Apache-2.0"
] | 305 | 2016-10-04T04:17:04.000Z | 2021-11-16T13:53:05.000Z | tests/test_basics.py | viki-org/logstash-docker | 71d316dfa1792075ffe82398f45561cf25741609 | [
"Apache-2.0"
] | 105 | 2016-10-10T15:52:39.000Z | 2019-06-26T13:39:36.000Z | tests/test_basics.py | viki-org/logstash-docker | 71d316dfa1792075ffe82398f45561cf25741609 | [
"Apache-2.0"
] | 133 | 2016-11-03T18:01:43.000Z | 2022-02-02T12:16:55.000Z | from .fixtures import logstash
from .constants import logstash_version_string
# REF: https://docs.openshift.com/container-platform/3.5/creating_images/guidelines.html
| 34.176471 | 90 | 0.780838 |
7ae77cea0feb66dc50a535f9fec6fd95a86986f6 | 9,836 | py | Python | algorithms/topological_maps/tests/test_topological.py | alex-petrenko/landmark-exploration | faaeff84176de34e2ab4c18b24ee022bd069299e | [
"MIT"
] | 4 | 2019-01-04T20:37:30.000Z | 2019-03-27T02:07:55.000Z | algorithms/topological_maps/tests/test_topological.py | pelillian/landmark-exploration | 4b9a6fff665e67f97e43f85aa657d4f7a6ca8e75 | [
"MIT"
] | 26 | 2019-02-10T02:02:51.000Z | 2019-03-19T22:53:54.000Z | algorithms/topological_maps/tests/test_topological.py | pelillian/landmark-exploration | 4b9a6fff665e67f97e43f85aa657d4f7a6ca8e75 | [
"MIT"
] | 1 | 2019-01-09T06:48:58.000Z | 2019-01-09T06:48:58.000Z | import copy
import math
import random
import shutil
from string import ascii_lowercase
from unittest import TestCase
import numpy as np
import networkx as nx
from algorithms.agent import AgentLearner
from algorithms.tests.test_wrappers import TEST_ENV_NAME
from algorithms.topological_maps.topological_map import Topol... | 33.006711 | 116 | 0.589467 |
7ae78226f99c528f9f91384558054ac4094ba103 | 644 | py | Python | ch8/exercises/ans8_6.py | chunhua2017/pythonprogrammingdemo | 64e4ac2b33c54cde4671291a6203e94cd96de4ba | [
"MIT"
] | 4 | 2020-05-18T05:25:44.000Z | 2021-07-30T01:02:39.000Z | ch8/exercises/ans8_6.py | chunhua2017/pythonprogrammingdemo | 64e4ac2b33c54cde4671291a6203e94cd96de4ba | [
"MIT"
] | null | null | null | ch8/exercises/ans8_6.py | chunhua2017/pythonprogrammingdemo | 64e4ac2b33c54cde4671291a6203e94cd96de4ba | [
"MIT"
] | 2 | 2021-09-15T05:41:05.000Z | 2022-01-25T05:44:43.000Z | # CPUNNtarget
# 10000001
# 1000000
import threading, os, time
N = os.cpu_count() # CPUN
#
if __name__ == '__main__':
print(f"CPU has {N} Cores.")
print("Start threading...")
n = 1000000
threads = [threading.Thread(target=task, args=(n, )) for _ in range(N)]
for thread in threads:
thread.s... | 29.272727 | 75 | 0.64441 |
7ae81ffd916d508ea02a5f801963bc2929653520 | 340 | py | Python | src/utils.py | Benjvdg/altered-configurator | fa0ef454156eefdd6396f1c4809d5cf93ed76154 | [
"MIT"
] | null | null | null | src/utils.py | Benjvdg/altered-configurator | fa0ef454156eefdd6396f1c4809d5cf93ed76154 | [
"MIT"
] | null | null | null | src/utils.py | Benjvdg/altered-configurator | fa0ef454156eefdd6396f1c4809d5cf93ed76154 | [
"MIT"
] | null | null | null | from .configuration import Configuration
| 28.333333 | 49 | 0.679412 |
7ae99f4f645effca112671b0e373f67c1099494b | 1,352 | pyw | Python | DataParser.pyw | RobustProgram/Python-GEngine | 066a160f24192104dc3d6d97d07fa1b95c17a85d | [
"MIT"
] | null | null | null | DataParser.pyw | RobustProgram/Python-GEngine | 066a160f24192104dc3d6d97d07fa1b95c17a85d | [
"MIT"
] | null | null | null | DataParser.pyw | RobustProgram/Python-GEngine | 066a160f24192104dc3d6d97d07fa1b95c17a85d | [
"MIT"
] | null | null | null | import configparser
""" VARIABLES """
config_Path = "EngineDataFile\EngineConfig\GEngineSettings.ini"
| 33.8 | 77 | 0.506657 |
7aeb7cc4116d6a02d146bf1aa77231481c47e119 | 457 | py | Python | profile/bcs_gap_energy.py | pleroux0/super_material | b64d74afdeab7639dd1b220f8b23ade22d87c481 | [
"BSD-2-Clause"
] | 3 | 2020-10-20T00:37:59.000Z | 2021-07-17T12:59:52.000Z | profile/bcs_gap_energy.py | pleroux0/super_material | b64d74afdeab7639dd1b220f8b23ade22d87c481 | [
"BSD-2-Clause"
] | null | null | null | profile/bcs_gap_energy.py | pleroux0/super_material | b64d74afdeab7639dd1b220f8b23ade22d87c481 | [
"BSD-2-Clause"
] | 2 | 2020-10-02T14:31:07.000Z | 2021-08-15T10:00:29.000Z | #!/usr/bin/env python3
from cProfile import Profile
from numpy import linspace
from super_material.gap_energy import BCSGapEnergy
if __name__ == "__main__":
run()
| 19.869565 | 74 | 0.717724 |
7aeeeef62aa01b729262c5390d03e0480b6ae142 | 2,292 | py | Python | rotkehlchen/tests/unit/uniswap/test_calculate_events_balances.py | rotkehlchenio/rotkehlchen | 98f49cd3ed26c641fec03b78eff9fe1872385fbf | [
"BSD-3-Clause"
] | 137 | 2018-03-05T11:53:29.000Z | 2019-11-03T16:38:42.000Z | rotkehlchen/tests/unit/uniswap/test_calculate_events_balances.py | rotkehlchenio/rotkehlchen | 98f49cd3ed26c641fec03b78eff9fe1872385fbf | [
"BSD-3-Clause"
] | 385 | 2018-03-08T12:43:41.000Z | 2019-11-10T09:15:36.000Z | rotkehlchen/tests/unit/uniswap/test_calculate_events_balances.py | rotkehlchenio/rotkehlchen | 98f49cd3ed26c641fec03b78eff9fe1872385fbf | [
"BSD-3-Clause"
] | 59 | 2018-03-08T10:08:27.000Z | 2019-10-26T11:30:44.000Z | from typing import List
import pytest
from rotkehlchen.chain.ethereum.interfaces.ammswap.types import LiquidityPool, LiquidityPoolEvent
from .utils import (
LP_1_EVENTS,
LP_1_EVENTS_BALANCE,
LP_2_EVENTS,
LP_2_EVENTS_BALANCE,
LP_3_BALANCE,
LP_3_EVENTS,
LP_3_EVENTS_BALANCE,
TEST_ADDRESS... | 33.217391 | 97 | 0.746946 |
7aef14f9e97678b485424aba46ede0a6a6976f70 | 1,442 | py | Python | chat/forms.py | Firexd2/social-network | 8f7799aa54871843f55aed578e2c89a964c97ecc | [
"MIT"
] | 2 | 2018-12-28T19:21:55.000Z | 2019-05-15T14:37:12.000Z | chat/forms.py | Firexd2/social-network | 8f7799aa54871843f55aed578e2c89a964c97ecc | [
"MIT"
] | null | null | null | chat/forms.py | Firexd2/social-network | 8f7799aa54871843f55aed578e2c89a964c97ecc | [
"MIT"
] | 2 | 2019-10-16T08:01:04.000Z | 2021-07-13T06:02:15.000Z | from django import forms
from chat.models import Message, Room
| 27.207547 | 118 | 0.620666 |
7af0056e7bb93cced5cf1fc4661b1b37c8a184f1 | 2,491 | py | Python | Books/GodOfPython/P17_Database/chapter17.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | 2 | 2020-12-05T07:42:55.000Z | 2021-01-06T23:23:18.000Z | Books/GodOfPython/P17_Database/chapter17.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | Books/GodOfPython/P17_Database/chapter17.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | from sqlite3 import *
# mydb = connect('D:/02.Python/ch17/fruit.db')
# csr = mydb.cursor()
# csr.execute('create table test(fruit varchar(20), num int, price int)')
# csr.execute("insert into test(fruit, num, price) values('Apple', 10, 1000)")
# csr.execute('select * from test')
# row = csr.fetchone()
# print(row)
# my... | 31.935897 | 118 | 0.660779 |
7af21faa85a432e7263bd3da8d612b3c15107b7b | 2,213 | py | Python | jogo_nim.py | paulo-caixeta/00_CURSO_PYTHON | 03097c7ed625796560a79c01511b8990f37efa6a | [
"MIT"
] | null | null | null | jogo_nim.py | paulo-caixeta/00_CURSO_PYTHON | 03097c7ed625796560a79c01511b8990f37efa6a | [
"MIT"
] | null | null | null | jogo_nim.py | paulo-caixeta/00_CURSO_PYTHON | 03097c7ed625796560a79c01511b8990f37efa6a | [
"MIT"
] | null | null | null |
print ("Bem-vindo ao jogo do NIM! Escolha:")
print ("1 - para jogar uma partida isolada")
print ("2 - para jogar um campeonato")
resposta = int(input())
while resposta != 1 and resposta !=2:
print ("Jogada no permitida. Digite 1 ou 2")
resposta = int(input())
if resposta == 1:
partida()
else:
y = 1
... | 31.614286 | 97 | 0.54225 |
7af32048ae567014e129b04f8bfec3a79a90b2c2 | 1,727 | py | Python | difference_scores_scripts/difference_time_score.py | smoorjani/LA-Crime-Analysis | 26dfeae3a1b7e885a9bd1f78af2c5c5df5b7d071 | [
"MIT"
] | null | null | null | difference_scores_scripts/difference_time_score.py | smoorjani/LA-Crime-Analysis | 26dfeae3a1b7e885a9bd1f78af2c5c5df5b7d071 | [
"MIT"
] | null | null | null | difference_scores_scripts/difference_time_score.py | smoorjani/LA-Crime-Analysis | 26dfeae3a1b7e885a9bd1f78af2c5c5df5b7d071 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
# Graphs the difference scores explained in slides with respect to time
df = pd.read_csv('question2.csv')
diff_list = []
import random
for i in range(len(df)):
temp_list = [df['Morning Percent'][i], df['Afternoon Percent'][i], df['Evening Percent'][i], df['Nig... | 26.984375 | 121 | 0.579618 |
7af4a614a4f09e8901c13163445f321f3096ad80 | 3,266 | py | Python | procafe/appProcafe/admin.py | ChrisTGX/PROCAFE | a85f60c70289e932511d0b29f1411b502fca0c97 | [
"MIT"
] | null | null | null | procafe/appProcafe/admin.py | ChrisTGX/PROCAFE | a85f60c70289e932511d0b29f1411b502fca0c97 | [
"MIT"
] | null | null | null | procafe/appProcafe/admin.py | ChrisTGX/PROCAFE | a85f60c70289e932511d0b29f1411b502fca0c97 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from appProcafe.models import Department, Unit, Section, Risk, Position, Location,\
Paysheet, Type, CourseRequest, CourseChangeRequest
from appProcafe.models import Telephone, Document, Takes, Course
from ... | 36.696629 | 172 | 0.65891 |
7af4d941c3996a5b1698e633f36fec9f912924cd | 410 | py | Python | Scrapping JSON.py | AndrewPotap/Coursera_Python_Course | 50a961361fb7838760f3e88d01039e22fe834f95 | [
"BSD-3-Clause"
] | null | null | null | Scrapping JSON.py | AndrewPotap/Coursera_Python_Course | 50a961361fb7838760f3e88d01039e22fe834f95 | [
"BSD-3-Clause"
] | null | null | null | Scrapping JSON.py | AndrewPotap/Coursera_Python_Course | 50a961361fb7838760f3e88d01039e22fe834f95 | [
"BSD-3-Clause"
] | null | null | null | import urllib.request, urllib.parse, urllib.error
import json
url_link = input('Enter location: ')
print('Retrieving:', url_link)
handler = urllib.request.urlopen(url_link).read()
js = json.loads(handler)
print('Retrieved', len(handler), "characters")
total = 0
count = 0
for comment in js['comments']:
... | 24.117647 | 50 | 0.673171 |
7af55f2985bdda7c6d861c66a33deb86068ba3e3 | 10,949 | py | Python | jkonet/models/model_jko.py | bunnech/jkonet | 992d8aff421cded3ec55cea047066d7939e17edf | [
"MIT"
] | 1 | 2022-03-30T10:52:53.000Z | 2022-03-30T10:52:53.000Z | jkonet/models/model_jko.py | bunnech/jkonet | 992d8aff421cded3ec55cea047066d7939e17edf | [
"MIT"
] | null | null | null | jkonet/models/model_jko.py | bunnech/jkonet | 992d8aff421cded3ec55cea047066d7939e17edf | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# author: Charlotte Bunne
# imports
import jax
import jax.numpy as jnp
import numpy as np
import optax
# internal imports
from jkonet.utils.helper import count_parameters
from jkonet.utils.optim import global_norm, penalize_weights_icnn
from jkonet.models import fixpoint_loop
from jkonet.models.los... | 37.496575 | 79 | 0.583798 |
7af6736e0f50e1d7ae714c41cf42557149a6942a | 683 | py | Python | chap02/v2.0/app.py | usadamasa/Understanding-K8s | 96c4c13b6ed3d67ad165133a7388ca91e76cd69b | [
"MIT"
] | 48 | 2018-11-28T03:48:58.000Z | 2022-03-21T05:29:07.000Z | chap02/v2.0/app.py | usadamasa/Understanding-K8s | 96c4c13b6ed3d67ad165133a7388ca91e76cd69b | [
"MIT"
] | 4 | 2019-01-23T03:38:34.000Z | 2020-01-04T13:34:17.000Z | chap02/v2.0/app.py | usadamasa/Understanding-K8s | 96c4c13b6ed3d67ad165133a7388ca91e76cd69b | [
"MIT"
] | 36 | 2019-01-23T02:04:38.000Z | 2022-03-23T15:42:55.000Z | #!/usr/bin/env python3
from flask import Flask, render_template, request
import os,random,socket
app = Flask(__name__)
images = [
"las-01.jpg",
"las-02.jpg",
"las-03.jpg",
"las-04.jpg",
"las-05.jpg",
"las-06.jpg"
]
# Main
if __name__ == "__main__":
port = int(os.environ.get("PORT", 80))
... | 21.34375 | 84 | 0.63104 |
7af7520ce6392b7775b565df63469ed448626de0 | 68 | py | Python | python/testData/inspections/PyTypeCheckerInspection/PromotingBytearrayToStrAndUnicode.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2018-12-29T09:53:39.000Z | 2018-12-29T09:53:42.000Z | python/testData/inspections/PyTypeCheckerInspection/PromotingBytearrayToStrAndUnicode.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/inspections/PyTypeCheckerInspection/PromotingBytearrayToStrAndUnicode.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z |
f(bytearray()) | 11.333333 | 24 | 0.529412 |
7af88202badb8480b931c63249d3ac2f5894816a | 12,123 | py | Python | botornado/__init__.py | bopopescu/botornado-1 | 324a1942fbe33ef41af7ae99c25478be2bdce5dc | [
"MIT"
] | 22 | 2015-04-14T13:29:48.000Z | 2017-11-15T18:03:25.000Z | botornado/__init__.py | bopopescu/botornado-1 | 324a1942fbe33ef41af7ae99c25478be2bdce5dc | [
"MIT"
] | 2 | 2015-10-26T11:10:17.000Z | 2016-04-25T23:57:57.000Z | botornado/__init__.py | bopopescu/botornado-1 | 324a1942fbe33ef41af7ae99c25478be2bdce5dc | [
"MIT"
] | 9 | 2015-04-20T14:34:25.000Z | 2021-06-09T00:13:26.000Z | # Copyright (c) 2006-2011 Mitch Garnaat http://garnaat.org/
# Copyright (c) 2010-2011, Eucalyptus Systems, Inc.
# Copyright (c) 2011, Nexenta Systems Inc.
# All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# ... | 34.936599 | 85 | 0.727625 |
7afaa2316ed84ded39c3f2d1eeb2eece59de51bb | 4,888 | py | Python | src/notebooks/nsynth_interpolation.py | BZ-2453/DeepBass | a0f4ab8613994a8cfcf732fa2b2b2840313264d4 | [
"MIT"
] | 1 | 2019-06-05T23:47:32.000Z | 2019-06-05T23:47:32.000Z | src/notebooks/nsynth_interpolation.py | BZ-2453/DeepBass | a0f4ab8613994a8cfcf732fa2b2b2840313264d4 | [
"MIT"
] | null | null | null | src/notebooks/nsynth_interpolation.py | BZ-2453/DeepBass | a0f4ab8613994a8cfcf732fa2b2b2840313264d4 | [
"MIT"
] | 1 | 2018-11-14T02:58:35.000Z | 2018-11-14T02:58:35.000Z | from os import listdir
from os.path import isfile, join
import numpy as np
import matplotlib.pyplot as plt
from magenta.models.nsynth.wavenet import fastgen
import sys
# Change path back to /src to load other modules
sys.path.insert(0, '/home/ubuntu/DeepBass/src')
from ingestion.IO_utils import Load, Save
from preproce... | 33.251701 | 81 | 0.648527 |
7afb86fb81a4eb99c74d8f43a8e7313582e3e565 | 71 | py | Python | src/runner/__init__.py | cmlab-mira/MedicalPro | 3918c95197fd24406ce2117cc7ff9ce21bb8c620 | [
"MIT"
] | 6 | 2020-02-01T07:19:32.000Z | 2021-05-10T13:55:49.000Z | src/runner/__init__.py | cmlab-mira/template | ae462f6eed9f3aa71d130c281c01c22fe0124a7b | [
"MIT"
] | 19 | 2019-05-21T12:48:37.000Z | 2020-04-01T09:56:42.000Z | src/runner/__init__.py | cmlab-mira/template | ae462f6eed9f3aa71d130c281c01c22fe0124a7b | [
"MIT"
] | 1 | 2019-08-09T17:06:56.000Z | 2019-08-09T17:06:56.000Z | from .trainers import *
from .predictors import *
from .utils import *
| 17.75 | 25 | 0.746479 |
7afbeeb0d62fce8e7b807f6f100acf5f55db87a0 | 9,230 | py | Python | recommend/eusolver/scripts/job_list_icfp_anytime.py | jiry17/IntSy | 36333489b77ff2fbe84e6440be1f6b84eb61f29e | [
"MIT"
] | 7 | 2020-03-01T12:07:44.000Z | 2021-10-20T02:34:59.000Z | recommend/esolver/scripts/job_list_icfp_anytime.py | jiry17/PolyGen | b384e478ec91299d6a14f4681ff3e0850911822b | [
"MIT"
] | 1 | 2020-05-25T22:08:35.000Z | 2020-05-25T22:08:35.000Z | recommend/eusolver/scripts/job_list_icfp_anytime.py | jiry17/IntSy | 36333489b77ff2fbe84e6440be1f6b84eb61f29e | [
"MIT"
] | 1 | 2021-12-01T08:18:21.000Z | 2021-12-01T08:18:21.000Z | # job_list_one_shot.py ---
#
# Filename: job_list_one_shot.py
# Author: Abhishek Udupa
# Created: Tue Jan 26 15:13:19 2016 (-0500)
#
#
# Copyright (c) 2015, Abhishek Udupa, University of Pennsylvania
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permit... | 97.157895 | 150 | 0.676598 |
7afc81f420c7a7b1650e0243a1f216e195ab99db | 642 | py | Python | api/app/database.py | Le96/todays-mazai | 1af8f57d7827d883a6c91661dc375b79274c94f5 | [
"MIT"
] | null | null | null | api/app/database.py | Le96/todays-mazai | 1af8f57d7827d883a6c91661dc375b79274c94f5 | [
"MIT"
] | 10 | 2022-02-27T11:01:23.000Z | 2022-03-29T12:53:33.000Z | api/app/database.py | Le96/todays-mazai | 1af8f57d7827d883a6c91661dc375b79274c94f5 | [
"MIT"
] | null | null | null | import os
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
USER = os.getenv("DB_USER")
PASS = os.getenv("DB_PASSWORD")
HOST = os.getenv("DB_HOST")
PORT = os.getenv("DB_PORT")
SCHEMA = os.getenv("DB_SCHEMA")
SQLALCHEMY_DATABASE_URL = ... | 23.777778 | 87 | 0.739875 |
7afcba4478178056c3c4b8f0dd94cece84b8040b | 1,334 | py | Python | tests/application/models.py | YoungAspirations/QA-Projects | 9f24886977d566548f5629371407187d8017f209 | [
"MIT"
] | null | null | null | tests/application/models.py | YoungAspirations/QA-Projects | 9f24886977d566548f5629371407187d8017f209 | [
"MIT"
] | null | null | null | tests/application/models.py | YoungAspirations/QA-Projects | 9f24886977d566548f5629371407187d8017f209 | [
"MIT"
] | null | null | null | from application import db | 47.642857 | 92 | 0.688906 |
7afcd60decef66da0eca92347d1a54bcb6356e35 | 2,952 | py | Python | wearebeautiful/bin/make_bundle.py | MarcTschudin/wearebeautiful.info | fcc57404d00b1b939812f655cafe0278970f3229 | [
"BSD-2-Clause"
] | null | null | null | wearebeautiful/bin/make_bundle.py | MarcTschudin/wearebeautiful.info | fcc57404d00b1b939812f655cafe0278970f3229 | [
"BSD-2-Clause"
] | 2 | 2020-09-15T16:20:04.000Z | 2020-09-15T16:26:39.000Z | wearebeautiful/bin/make_bundle.py | MarcTschudin/wearebeautiful.info | fcc57404d00b1b939812f655cafe0278970f3229 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
import sys
sys.path.append("..")
import json
import click
import datetime
import os
import shutil
from zipfile import ZipFile
from tempfile import mkdtemp
from scale_mesh import scale_mesh
from wearebeautiful.bundles import validate_manifest, MAX_SCREENSHOT_SIZE
from wearebeautiful import model_... | 30.75 | 104 | 0.64668 |
7afe4f4c8c346bc4cfb1eca830605b559dd63333 | 7,670 | py | Python | tools/BackProp.py | ywzhao2002/DeepEverest | 25fc13884e83788390f944a507b7cf14b3fc7c3d | [
"MIT"
] | 10 | 2021-09-27T07:12:13.000Z | 2022-01-27T00:16:04.000Z | tools/BackProp.py | ywzhao2002/DeepEverest | 25fc13884e83788390f944a507b7cf14b3fc7c3d | [
"MIT"
] | null | null | null | tools/BackProp.py | ywzhao2002/DeepEverest | 25fc13884e83788390f944a507b7cf14b3fc7c3d | [
"MIT"
] | 2 | 2022-02-16T04:28:10.000Z | 2022-03-15T22:00:52.000Z | """
Adapted from https://github.com/hovinh/DeCNN
"""
import numpy as np
from keras import backend as K
| 36.698565 | 111 | 0.592829 |
7afeb71053feedae92609691ef2291871af9e5e1 | 7,346 | py | Python | src/visualization/visualize_all.py | mwegrzyn/volume-wise-language | ed24b11667e6b26d3ed09ce0aae383c26852821c | [
"MIT"
] | 1 | 2019-11-19T13:48:33.000Z | 2019-11-19T13:48:33.000Z | src/visualization/visualize_all.py | mwegrzyn/volume-wise-language | ed24b11667e6b26d3ed09ce0aae383c26852821c | [
"MIT"
] | null | null | null | src/visualization/visualize_all.py | mwegrzyn/volume-wise-language | ed24b11667e6b26d3ed09ce0aae383c26852821c | [
"MIT"
] | null | null | null |
# coding: utf-8
# # Collect axes and make big plot
#
# This notebook is used to collect the output of all analyses which were ran for a single patient and to wrap all generated figures in a big plot which consists of multiple subplots. As with other notebooks which are needed to analyses single-subject data, this on... | 29.502008 | 788 | 0.668255 |
bb0075e257517d7ea8e7b80a522763cdff7b8198 | 1,178 | py | Python | dragonbot/game/output.py | Chainso/DragonBot | c431cd42be8672259164c9ee4ab338cbc624bec9 | [
"MIT"
] | null | null | null | dragonbot/game/output.py | Chainso/DragonBot | c431cd42be8672259164c9ee4ab338cbc624bec9 | [
"MIT"
] | null | null | null | dragonbot/game/output.py | Chainso/DragonBot | c431cd42be8672259164c9ee4ab338cbc624bec9 | [
"MIT"
] | null | null | null | import torch
import numpy as np
from rlbot.agents.base_agent import SimpleControllerState, BaseAgent | 26.772727 | 75 | 0.634975 |
bb00d33e1835de5ac5d645b216ad0956f73caeeb | 9,059 | py | Python | DeepLearningExamples/PyTorch/SpeechRecognition/Jasper/common/dataset.py | puririshi98/benchmark | 79f554f1e1cf36f62994c78e0e6e5b360f554022 | [
"BSD-3-Clause"
] | null | null | null | DeepLearningExamples/PyTorch/SpeechRecognition/Jasper/common/dataset.py | puririshi98/benchmark | 79f554f1e1cf36f62994c78e0e6e5b360f554022 | [
"BSD-3-Clause"
] | null | null | null | DeepLearningExamples/PyTorch/SpeechRecognition/Jasper/common/dataset.py | puririshi98/benchmark | 79f554f1e1cf36f62994c78e0e6e5b360f554022 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 38.548936 | 88 | 0.643117 |
bb012a91e944e733bcc6b34d6435f48bf28ed4c9 | 5,313 | py | Python | GroovBot Revamped/Utils/converters.py | OGminecraft/GroovBot-Work-in-proggress- | ac21a63924a887d24b4e10a1d3cc3b1fa11dade7 | [
"MIT"
] | null | null | null | GroovBot Revamped/Utils/converters.py | OGminecraft/GroovBot-Work-in-proggress- | ac21a63924a887d24b4e10a1d3cc3b1fa11dade7 | [
"MIT"
] | null | null | null | GroovBot Revamped/Utils/converters.py | OGminecraft/GroovBot-Work-in-proggress- | ac21a63924a887d24b4e10a1d3cc3b1fa11dade7 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import re
from .errors import BadGameArgument
from dateutil.relativedelta import relativedelta
import datetime
import parsedatetime as pdt
import typing
import operator
__all__ = (
'CommandConverter',
'dice_roll',
'board_coords',
'espeak... | 32.396341 | 110 | 0.549595 |
bb02a411517dc052ddec8bf6429f0db2eecdb103 | 3,077 | py | Python | imagersite/imager_images/test/test_integration_images.py | brickfaced/django-imager | 581e61d7832c3974f7ed4943c09e4ce5362b5148 | [
"MIT"
] | null | null | null | imagersite/imager_images/test/test_integration_images.py | brickfaced/django-imager | 581e61d7832c3974f7ed4943c09e4ce5362b5148 | [
"MIT"
] | 8 | 2020-02-11T22:21:32.000Z | 2022-01-13T00:45:19.000Z | imagersite/imager_images/test/test_integration_images.py | brickfaced/django-imager | 581e61d7832c3974f7ed4943c09e4ce5362b5148 | [
"MIT"
] | null | null | null | from django.test import TestCase
from imager_profile.models import User
from ..models import Album, Photo
from model_mommy import mommy
import tempfile
import factory
from random import choice
from django.urls import reverse_lazy
choices = (('PRIVATE', 'Private'), ('SHARED', 'Shared'), ('PUBLIC', 'Public'),)
def... | 38.949367 | 105 | 0.656159 |
bb03ea91bfead8f236e57e4fff855b91bb245297 | 2,458 | py | Python | fabfile.py | hirokazumiyaji/blue-green-sample | a369d250a5735391ff8cc58bb08275ba4a7aa780 | [
"MIT"
] | null | null | null | fabfile.py | hirokazumiyaji/blue-green-sample | a369d250a5735391ff8cc58bb08275ba4a7aa780 | [
"MIT"
] | null | null | null | fabfile.py | hirokazumiyaji/blue-green-sample | a369d250a5735391ff8cc58bb08275ba4a7aa780 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import, print_function, unicode_literals
from datetime import datetime
import time
from fabric.api import cd, sudo, run as fabrun, env, settings, abort, hide
env.use_ssh_config = True
env.ssh_config_path = "ssh.config"
CONTAINER_PORT = {
"blue": "4567",
"green... | 22.759259 | 86 | 0.598047 |
bb0558ca4d28ffda3e0ececd8bb80adb17e6b2fd | 2,208 | py | Python | testmapwithspy1.py | Toinas/IntelligentSuit | f3d33b327406d899d18ecf5fd6a100b0c786fdce | [
"MIT"
] | null | null | null | testmapwithspy1.py | Toinas/IntelligentSuit | f3d33b327406d899d18ecf5fd6a100b0c786fdce | [
"MIT"
] | null | null | null | testmapwithspy1.py | Toinas/IntelligentSuit | f3d33b327406d899d18ecf5fd6a100b0c786fdce | [
"MIT"
] | null | null | null |
import numpy np
image=[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 0, 0,
0, 0, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, ... | 33.454545 | 80 | 0.408062 |
bb056645286e578beacdd13141aef618891149b4 | 6,640 | py | Python | e2e/test_override.py | navoday-91/oncall | 0a977f06bbf308978d0d2c2b46e0aca23937ca9a | [
"BSD-2-Clause"
] | 857 | 2017-05-03T00:59:10.000Z | 2022-03-29T06:45:23.000Z | e2e/test_override.py | navoday-91/oncall | 0a977f06bbf308978d0d2c2b46e0aca23937ca9a | [
"BSD-2-Clause"
] | 142 | 2017-05-03T02:00:58.000Z | 2022-03-25T20:58:11.000Z | e2e/test_override.py | navoday-91/oncall | 0a977f06bbf308978d0d2c2b46e0aca23937ca9a | [
"BSD-2-Clause"
] | 218 | 2017-05-03T02:04:56.000Z | 2022-03-25T18:28:04.000Z | # Copyright (c) LinkedIn Corporation. All rights reserved. Licensed under the BSD-2 Clause license.
# See LICENSE in the project root for license information.
import requests
import time
from testutils import prefix,api_v0
start, end = int(time.time()), int(time.time() + 36000)
start = start / 1000 * 1000
end = end /... | 34.051282 | 99 | 0.569428 |
bb05c1ad94a65dafdf8ac4b71235fa67d58b1f6b | 3,094 | py | Python | convert/photo2movie.py | penrin/SP-mapping | 21ce1dff8b4821dbfc71da50ca1d5ce098c678b0 | [
"MIT"
] | null | null | null | convert/photo2movie.py | penrin/SP-mapping | 21ce1dff8b4821dbfc71da50ca1d5ce098c678b0 | [
"MIT"
] | null | null | null | convert/photo2movie.py | penrin/SP-mapping | 21ce1dff8b4821dbfc71da50ca1d5ce098c678b0 | [
"MIT"
] | null | null | null | import sys
import cv2
import argparse
import time
from math import ceil
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('filename', help='output filename')
parser.add_argument('-i', type=str, help='input image filename', required=True)
parser.add_argument... | 28.127273 | 83 | 0.543633 |
bb08c7db08a3a4f46b4d54e98699f5915dfaad1f | 123 | py | Python | Chapter04/deque_tail.py | PacktPublishing/Secret-Recipes-of-the-Python-Ninja | 805d00c7a54927ba94c9077e9a580508ee3c5e56 | [
"MIT"
] | 13 | 2018-06-21T01:44:49.000Z | 2021-12-01T10:49:53.000Z | Chapter04/deque_tail.py | PacktPublishing/Secret-Recipes-of-the-Python-Ninja | 805d00c7a54927ba94c9077e9a580508ee3c5e56 | [
"MIT"
] | null | null | null | Chapter04/deque_tail.py | PacktPublishing/Secret-Recipes-of-the-Python-Ninja | 805d00c7a54927ba94c9077e9a580508ee3c5e56 | [
"MIT"
] | 6 | 2018-10-05T08:29:24.000Z | 2022-01-11T14:49:50.000Z | def tail(filename, n=10):
'Return the last n lines of a file'
with open(filename) as f:
return deque(f, n)
| 24.6 | 39 | 0.617886 |
bb091e39ee9f343a16bc795582b949c70dabc617 | 2,469 | py | Python | src/retrocookie/pr/events.py | iamamutt/retrocookie | 4cc4da83c5fc3751377730c06fcef746a06fe60a | [
"MIT"
] | 15 | 2020-06-21T14:35:42.000Z | 2022-03-30T15:48:55.000Z | src/retrocookie/pr/events.py | iamamutt/retrocookie | 4cc4da83c5fc3751377730c06fcef746a06fe60a | [
"MIT"
] | 223 | 2020-05-22T14:35:05.000Z | 2022-03-28T00:19:23.000Z | src/retrocookie/pr/events.py | iamamutt/retrocookie | 4cc4da83c5fc3751377730c06fcef746a06fe60a | [
"MIT"
] | 4 | 2020-11-19T12:55:01.000Z | 2022-03-15T14:24:25.000Z | """Events and contexts for the message bus."""
from dataclasses import dataclass
from typing import List
from retrocookie import git
from retrocookie.pr.base import bus
from retrocookie.pr.protocols import github
| 19.289063 | 66 | 0.713244 |
bb0b10d7f8ef73fa3757381d0bfa2f206e423b76 | 646 | py | Python | genie/commands/minify_json.py | namuan/alfred-genie | b442e8c9d05befe0f89290907daa7b8d8cced913 | [
"MIT"
] | 5 | 2020-07-05T15:33:39.000Z | 2021-05-02T12:53:18.000Z | genie/commands/minify_json.py | namuan/alfred-genie | b442e8c9d05befe0f89290907daa7b8d8cced913 | [
"MIT"
] | null | null | null | genie/commands/minify_json.py | namuan/alfred-genie | b442e8c9d05befe0f89290907daa7b8d8cced913 | [
"MIT"
] | null | null | null | import json
from genie import uid, with_clip
minify_json_command = MinifyJsonCommand()
| 24.846154 | 78 | 0.597523 |
bb0bce91d67c90d34702276b46fbd9f166da9293 | 35,935 | py | Python | course_flow/serializers.py | aahilgert/CourseFlow | cbb26c694d9a1310872993dfac9ac3cd0e721e9b | [
"Apache-2.0"
] | null | null | null | course_flow/serializers.py | aahilgert/CourseFlow | cbb26c694d9a1310872993dfac9ac3cd0e721e9b | [
"Apache-2.0"
] | 5 | 2020-03-24T18:04:39.000Z | 2020-10-06T06:39:19.000Z | course_flow/serializers.py | aahilgert/CourseFlow | cbb26c694d9a1310872993dfac9ac3cd0e721e9b | [
"Apache-2.0"
] | 1 | 2020-01-27T13:51:33.000Z | 2020-01-27T13:51:33.000Z | from rest_framework import serializers
from .models import (
Program,
ComponentProgram,
Course,
Preparation,
Activity,
Assessment,
Artifact,
Strategy,
Node,
NodeStrategy,
StrategyActivity,
ComponentWeek,
WeekCourse,
Component,
Week,
Discipline,
Outcome... | 32.2287 | 94 | 0.626075 |
bb0c57d88c1a6fed248729aa225cdfd1acb49c82 | 960 | py | Python | Euclides.py | GuillermoSP96/Criptografia | f87bf89f1bd0a657bd8bdd32d13b55c54d3fe2f2 | [
"MIT"
] | null | null | null | Euclides.py | GuillermoSP96/Criptografia | f87bf89f1bd0a657bd8bdd32d13b55c54d3fe2f2 | [
"MIT"
] | null | null | null | Euclides.py | GuillermoSP96/Criptografia | f87bf89f1bd0a657bd8bdd32d13b55c54d3fe2f2 | [
"MIT"
] | null | null | null | import sys
import math
if __name__ == '__main__':
euclides(int(sys.argv[1]), int(sys.argv[2]))
| 29.090909 | 82 | 0.394792 |
bb0da9f13b31f45e4ff0ce41a92bad0693a9f106 | 583 | py | Python | tests/strategies/base.py | lycantropos/clipping | 39cc9d6f2e12fd9d73b467cec83c1dd424ac0786 | [
"MIT"
] | 4 | 2020-08-28T01:22:42.000Z | 2021-09-27T11:26:51.000Z | tests/strategies/base.py | lycantropos/clipping | 39cc9d6f2e12fd9d73b467cec83c1dd424ac0786 | [
"MIT"
] | 2 | 2020-08-13T08:14:15.000Z | 2020-08-27T11:43:35.000Z | tests/strategies/base.py | lycantropos/clipping | 39cc9d6f2e12fd9d73b467cec83c1dd424ac0786 | [
"MIT"
] | 1 | 2021-01-20T14:58:48.000Z | 2021-01-20T14:58:48.000Z | from fractions import Fraction
from functools import partial
from hypothesis import strategies
MAX_NUMBER = 10 ** 10
MIN_NUMBER = -MAX_NUMBER
coordinates_strategies_factories = {
float: partial(strategies.floats,
allow_nan=False,
allow_infinity=False),
Fraction: partial(s... | 30.684211 | 67 | 0.704974 |
bb0de6d16e17502acb35444bc5d059c62e2625db | 871 | py | Python | svm.py | edmundwsy/ASR-for-chinese-number | e24a6ccc9c02a21f911b0cc55100bda46348e792 | [
"MIT"
] | 2 | 2019-10-11T06:25:37.000Z | 2019-10-11T06:25:41.000Z | svm.py | edmundwsy/ASR-for-chinese-number | e24a6ccc9c02a21f911b0cc55100bda46348e792 | [
"MIT"
] | null | null | null | svm.py | edmundwsy/ASR-for-chinese-number | e24a6ccc9c02a21f911b0cc55100bda46348e792 | [
"MIT"
] | null | null | null | import numpy as np
from sklearn import svm
from data_loader import data_loader
N = 100
NUM_CLASS = 4
data_dir = "C:\\Users\\wsy\\Documents\\Audio\\*.m4a"
data_X, data_Y = data_loader(data_dir)
print(len(data_X))
clf_list = []
for idx in range(NUM_CLASS):
for i, X in enumerate(data_X):
if ... | 21.775 | 63 | 0.585534 |
bb0ded5ea316190bc5983e83d1641f4c90a47228 | 2,434 | py | Python | comments/views.py | orlowdev/aite | 6fcb02211d9fcb6be84de99deebc2aabe8075f61 | [
"Apache-2.0"
] | 1 | 2021-04-13T15:44:05.000Z | 2021-04-13T15:44:05.000Z | comments/views.py | orlowdev/aite | 6fcb02211d9fcb6be84de99deebc2aabe8075f61 | [
"Apache-2.0"
] | null | null | null | comments/views.py | orlowdev/aite | 6fcb02211d9fcb6be84de99deebc2aabe8075f61 | [
"Apache-2.0"
] | null | null | null | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.contenttypes.models import ContentType
from django.http import Http404, HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from .forms import CommentForm
from .models import Comment
| 29.325301 | 78 | 0.650781 |
bb0e3a4a424cab3d6b9961d60125be743eac980d | 277 | py | Python | backend/src/incidents/migrations/0014_merge_20190918_1515.py | pavan168/IncidentManagement | 7fbf111922a735d4cbe75969159858d6605a1e0b | [
"MIT"
] | 17 | 2019-01-16T13:10:25.000Z | 2021-02-07T02:04:11.000Z | backend/src/incidents/migrations/0014_merge_20190918_1515.py | pavan168/IncidentManagement | 7fbf111922a735d4cbe75969159858d6605a1e0b | [
"MIT"
] | 360 | 2019-02-13T15:24:44.000Z | 2022-02-26T17:42:33.000Z | backend/src/incidents/migrations/0014_merge_20190918_1515.py | mohamednizar/request-management | a88a2ce35a7a1a98630ffd14c1a31a5173b662c8 | [
"MIT"
] | 46 | 2019-01-16T13:10:25.000Z | 2021-06-23T02:44:18.000Z | # Generated by Django 2.2.1 on 2019-09-18 15:15
from django.db import migrations
| 18.466667 | 49 | 0.65343 |
bb124a8e52d8aee500e19c656533c54c1cedaf7a | 1,252 | py | Python | openbook_notifications/models/post_reaction_notification.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 164 | 2019-07-29T17:59:06.000Z | 2022-03-19T21:36:01.000Z | openbook_notifications/models/post_reaction_notification.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 188 | 2019-03-16T09:53:25.000Z | 2019-07-25T14:57:24.000Z | openbook_notifications/models/post_reaction_notification.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 80 | 2019-08-03T17:49:08.000Z | 2022-02-28T16:56:33.000Z | from django.contrib.contenttypes.fields import GenericRelation
from django.db import models
from openbook_notifications.models.notification import Notification
from openbook_posts.models import PostReaction
| 46.37037 | 92 | 0.750799 |
bb12faf635c5c1c763f722434ba9353ad72b7539 | 1,449 | py | Python | src/tsipy/correction/exposure.py | roksikonja/tsipy | 844e54d8c8a550040d76e4c666c26a7db519f3c6 | [
"MIT"
] | 1 | 2021-05-04T19:05:31.000Z | 2021-05-04T19:05:31.000Z | src/tsipy/correction/exposure.py | roksikonja/tsipy | 844e54d8c8a550040d76e4c666c26a7db519f3c6 | [
"MIT"
] | null | null | null | src/tsipy/correction/exposure.py | roksikonja/tsipy | 844e54d8c8a550040d76e4c666c26a7db519f3c6 | [
"MIT"
] | null | null | null | """
Module implements a function for degradation correction.
"""
import numpy as np
__all__ = ["compute_exposure"]
def compute_exposure(
x: np.ndarray,
method: str = "num_measurements",
x_mean: float = 1.0,
) -> np.ndarray:
"""Computes exposure of a given signal.
In literature, exposure is foun... | 32.2 | 86 | 0.619738 |
bb16e2f5aa8300a34d3a16e43b3bfadcedaa4f1a | 5,789 | py | Python | core/agents/models/customs/da6.py | Yoshi-0921/MAEXP | cc03fdd46db9b1838df8f7782b4bd1b2bb3f11d5 | [
"MIT"
] | null | null | null | core/agents/models/customs/da6.py | Yoshi-0921/MAEXP | cc03fdd46db9b1838df8f7782b4bd1b2bb3f11d5 | [
"MIT"
] | 10 | 2021-07-04T06:32:59.000Z | 2021-11-06T04:05:24.000Z | core/agents/models/customs/da6.py | Yoshi-0921/MAEXP | cc03fdd46db9b1838df8f7782b4bd1b2bb3f11d5 | [
"MIT"
] | null | null | null | """Source code for multi-agent transfromer (DA6) model.
Author: Yoshinari Motokawa <yoshinari.moto@fuji.waseda.jp>
"""
from typing import List
import numpy as np
import torch
from core.utils.logging import initialize_logging
from omegaconf import DictConfig
from torch import nn
import numpy.typing as npt
from ..hard_s... | 34.458333 | 86 | 0.617896 |
bb198b07594be38ae96c5efe86c634b9ab09bd0d | 2,960 | py | Python | xskillscore/core/deterministic.py | weiclimate/xskillscore | 89a8cf30fef17adaea2d736430455726f59aa3ff | [
"Apache-2.0"
] | 1 | 2018-07-29T17:01:12.000Z | 2018-07-29T17:01:12.000Z | xskillscore/core/deterministic.py | weiclimate/xskillscore | 89a8cf30fef17adaea2d736430455726f59aa3ff | [
"Apache-2.0"
] | null | null | null | xskillscore/core/deterministic.py | weiclimate/xskillscore | 89a8cf30fef17adaea2d736430455726f59aa3ff | [
"Apache-2.0"
] | null | null | null | import xarray as xr
from.np_deterministic import _pearson_r, _pearson_r_p_value, _rmse
__all__ = ['pearson_r', 'rmse']
def pearson_r(a, b, dim):
"""
Pearson's correlation coefficient.
Parameters
----------
a : Dataset, DataArray, GroupBy, Variable, numpy/dask arrays or scalars
Mix of ... | 30.515464 | 78 | 0.624324 |
bb1ad7cb4f7ab6a64b36e6a737e0bd97356a3f8e | 414 | py | Python | python3/maximum_depth_of_n-ary_tree.py | joshiaj7/CodingChallenges | f95dd79132f07c296e074d675819031912f6a943 | [
"MIT"
] | 1 | 2020-10-08T09:17:40.000Z | 2020-10-08T09:17:40.000Z | python3/maximum_depth_of_n-ary_tree.py | joshiaj7/CodingChallenges | f95dd79132f07c296e074d675819031912f6a943 | [
"MIT"
] | null | null | null | python3/maximum_depth_of_n-ary_tree.py | joshiaj7/CodingChallenges | f95dd79132f07c296e074d675819031912f6a943 | [
"MIT"
] | null | null | null | from .model import NaryNode
# Space : O(n)
# Time : O(n)
| 17.25 | 46 | 0.434783 |
bb1b93056048ded04fe462901d7cdde0ccfcd081 | 4,991 | py | Python | astetik/tables/table.py | meirm/astetik | ea05ce57a0bf1e8bd7ef18c4d5ca8d7ad3fb4be7 | [
"MIT"
] | 8 | 2017-07-27T11:25:41.000Z | 2019-03-11T12:02:48.000Z | astetik/tables/table.py | meirm/astetik | ea05ce57a0bf1e8bd7ef18c4d5ca8d7ad3fb4be7 | [
"MIT"
] | 33 | 2018-04-04T20:45:59.000Z | 2019-03-07T12:54:37.000Z | astetik/tables/table.py | meirm/astetik | ea05ce57a0bf1e8bd7ef18c4d5ca8d7ad3fb4be7 | [
"MIT"
] | 3 | 2018-10-19T15:50:55.000Z | 2018-10-23T04:32:39.000Z | import pandas as pd
from IPython.core.display import display, HTML
def table(data,
title="Descriptive Stats",
sub_title="",
table_width=630,
indexcol_width=150,
return_html=False):
'''Displays a publication quality data table
with any number of columns and a... | 31 | 84 | 0.445001 |
bb1cbe7be49eea8286839ff6d39c7a92a362b8ed | 1,766 | py | Python | EXAMPLES/scripts/scenes/tasks.py | K9Kraken/EZpanda | aa4b13c1391f864be4f34fb7f258aa954baf32ca | [
"BSD-3-Clause"
] | null | null | null | EXAMPLES/scripts/scenes/tasks.py | K9Kraken/EZpanda | aa4b13c1391f864be4f34fb7f258aa954baf32ca | [
"BSD-3-Clause"
] | 1 | 2021-09-21T19:05:18.000Z | 2021-09-21T20:19:22.000Z | EXAMPLES/scripts/scenes/tasks.py | K9Kraken/EZpanda | aa4b13c1391f864be4f34fb7f258aa954baf32ca | [
"BSD-3-Clause"
] | null | null | null | render = ez.Node()
aspect2D = ez.Node()
camera = ez.Camera(parent=render)
camera.y = -20
# Create a a model:
dirt = ez.load.texture('dirt.png')
mesh = ez.load.mesh('hex.bam')
model = ez.Model( mesh, parent=render)
model.shader = ez.load.shader('shaded.glsl')
model.set_shader_input('texture0', dirt)
# Our task functi... | 24.527778 | 92 | 0.618913 |
bb20cd3ca3783421445910692e60fa4f02567675 | 650 | py | Python | 019. Enumerating Gene Orders/Main.py | SyouTono242/Rosalind | d0f339789b5373d7ce98d401d5168536f1d2e18c | [
"Apache-2.0"
] | null | null | null | 019. Enumerating Gene Orders/Main.py | SyouTono242/Rosalind | d0f339789b5373d7ce98d401d5168536f1d2e18c | [
"Apache-2.0"
] | null | null | null | 019. Enumerating Gene Orders/Main.py | SyouTono242/Rosalind | d0f339789b5373d7ce98d401d5168536f1d2e18c | [
"Apache-2.0"
] | null | null | null | # Given: A positive integer n7.
#
# Return: The total number of permutations of length n, followed by a list of all such permutations (in any order).
n = 6
i = n
intList = []
counter = 1
while i > 0:
intList.append(str(i))
counter = counter * i
i -= 1
print(counter)
permute(intList, 0, len(intList)-1)
| 23.214286 | 115 | 0.6 |
bb216b1449c4bdf268511506ad9bcc2b2c3b4fcc | 7,032 | py | Python | pysnmp/TIMETRA-CLEAR-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/TIMETRA-CLEAR-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/TIMETRA-CLEAR-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module TIMETRA-CLEAR-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TIMETRA-CLEAR-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:09:48 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 121.241379 | 843 | 0.755119 |
bb21afada8d8f15f29da835e84c0ab1aab13a8c1 | 129 | py | Python | src/utils/fft/ifft.py | BystrickyK/SINDy | f5b887d230079ffd60eacfe0221b47d1c288342e | [
"MIT"
] | 1 | 2021-04-12T18:22:54.000Z | 2021-04-12T18:22:54.000Z | src/utils/fft/ifft.py | BystrickyK/SINDy | f5b887d230079ffd60eacfe0221b47d1c288342e | [
"MIT"
] | 9 | 2021-03-03T14:34:41.000Z | 2021-05-13T14:03:08.000Z | src/utils/fft/ifft.py | BystrickyK/SINDy | f5b887d230079ffd60eacfe0221b47d1c288342e | [
"MIT"
] | null | null | null | import numpy as np
| 18.428571 | 43 | 0.643411 |
bb225948430a1e881fb208df696ef5e354cd15ce | 222 | py | Python | power_perceiver/np_batch_processor/__init__.py | openclimatefix/power_perceiver | bafcdfaf6abf42fbab09da641479f74709ddd395 | [
"MIT"
] | null | null | null | power_perceiver/np_batch_processor/__init__.py | openclimatefix/power_perceiver | bafcdfaf6abf42fbab09da641479f74709ddd395 | [
"MIT"
] | 33 | 2022-02-16T07:51:41.000Z | 2022-03-31T11:24:11.000Z | power_perceiver/np_batch_processor/__init__.py | openclimatefix/power_perceiver | bafcdfaf6abf42fbab09da641479f74709ddd395 | [
"MIT"
] | null | null | null | from power_perceiver.np_batch_processor.encode_space_time import EncodeSpaceTime
from power_perceiver.np_batch_processor.sun_position import SunPosition
from power_perceiver.np_batch_processor.topography import Topography
| 55.5 | 80 | 0.918919 |
bb23d09173111d16ca6e7ec28115b00c5478f690 | 693 | py | Python | scripts/add_groups.py | hseritt/alfmonitor | 7cb67913c030e43e51017dd9f5d9d0c9185b6d3b | [
"PostgreSQL"
] | null | null | null | scripts/add_groups.py | hseritt/alfmonitor | 7cb67913c030e43e51017dd9f5d9d0c9185b6d3b | [
"PostgreSQL"
] | 4 | 2020-06-05T22:22:57.000Z | 2021-06-04T21:56:11.000Z | scripts/add_groups.py | hseritt/alfmonitor | 7cb67913c030e43e51017dd9f5d9d0c9185b6d3b | [
"PostgreSQL"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import django
from django.db.utils import IntegrityError
sys.path.append('.')
os.environ['DJANGO_SETTINGS_MODULE'] = 'alfmonitor.settings'
django.setup()
from django.contrib.auth.models import Group, User
user_groups = (
'console_admins',
'console_users',
)
if ... | 20.382353 | 67 | 0.675325 |
bb2444f0f11fe36608e740690e190ab225f4ca44 | 1,633 | py | Python | models/strategy.py | CBarreiro96/PRICE-INSPECTOR | d77984f8c11817af21cbdaa56a610a359c6d8061 | [
"MIT"
] | 1 | 2021-03-21T10:49:46.000Z | 2021-03-21T10:49:46.000Z | models/strategy.py | CBarreiro96/PRICE-INSPECTOR | d77984f8c11817af21cbdaa56a610a359c6d8061 | [
"MIT"
] | 1 | 2021-03-13T23:29:29.000Z | 2021-03-13T23:29:29.000Z | models/strategy.py | CBarreiro96/PRICE-INSPECTOR | d77984f8c11817af21cbdaa56a610a359c6d8061 | [
"MIT"
] | 3 | 2021-03-30T12:56:05.000Z | 2021-06-21T23:20:25.000Z | #!/usr/bin/python
"""class Strategy"""
import models
from models.base_model import BaseModel, Base
from sqlalchemy import Column, String, Float, ForeignKey
from sqlalchemy.orm import relationship
| 39.829268 | 66 | 0.691366 |
bb25d88b34aa87a95d720f23bdf7ee4cf0720387 | 1,846 | py | Python | apps/shows/migrations/0006_comment.py | jorgesaw/oclock | 2a78bd4d1ab40eaa65ea346cf8c37556fcbbeca5 | [
"MIT"
] | null | null | null | apps/shows/migrations/0006_comment.py | jorgesaw/oclock | 2a78bd4d1ab40eaa65ea346cf8c37556fcbbeca5 | [
"MIT"
] | null | null | null | apps/shows/migrations/0006_comment.py | jorgesaw/oclock | 2a78bd4d1ab40eaa65ea346cf8c37556fcbbeca5 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.13 on 2020-09-27 03:14
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 51.277778 | 162 | 0.627844 |
bb27172fb0cc5ad2e5a95626ae35d9d5cb247567 | 2,819 | py | Python | scripts/subreddit_comments_alt.py | awesome-archive/subreddit-analyzer | 7ef113e10318f187d2e43960eaf21110bb8fe917 | [
"MIT"
] | 497 | 2019-12-23T15:29:42.000Z | 2022-03-25T12:34:00.000Z | scripts/subreddit_comments_alt.py | HubBucket-Team/subreddit-analyzer | 7ef113e10318f187d2e43960eaf21110bb8fe917 | [
"MIT"
] | 4 | 2019-12-24T22:03:52.000Z | 2020-09-13T02:59:37.000Z | scripts/subreddit_comments_alt.py | HubBucket-Team/subreddit-analyzer | 7ef113e10318f187d2e43960eaf21110bb8fe917 | [
"MIT"
] | 45 | 2019-12-23T16:42:58.000Z | 2022-03-23T01:07:26.000Z | """
This script uses the Pushshift API to download comments from the specified subreddits.
By default it downloads all the comments from the newest one to the first one of the specified date.
"""
import csv
import sys
import time
from datetime import datetime
import requests
# 10,000 should cover at least 3 years of... | 26.101852 | 100 | 0.638879 |
bb277ecd7191ed8683e34808e14ad7ee6f7a9f68 | 42,013 | py | Python | django/bosscore/views/views_resource.py | jhuapl-boss/boss | c2e26d272bd7b8d54abdc2948193163537e31291 | [
"Apache-2.0"
] | 20 | 2016-05-16T21:08:13.000Z | 2021-11-16T11:50:19.000Z | django/bosscore/views/views_resource.py | jhuapl-boss/boss | c2e26d272bd7b8d54abdc2948193163537e31291 | [
"Apache-2.0"
] | 31 | 2016-10-28T17:51:11.000Z | 2022-02-10T08:07:31.000Z | django/bosscore/views/views_resource.py | jhuapl-boss/boss | c2e26d272bd7b8d54abdc2948193163537e31291 | [
"Apache-2.0"
] | 12 | 2016-10-28T17:47:01.000Z | 2021-05-18T23:47:06.000Z | # Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
#
# 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 ... | 42.739573 | 130 | 0.620213 |
bb29ed7371a10fa561440136d68a16946ca367a4 | 1,299 | py | Python | main.py | bogdanbledea/python-rdf-controller | a041382ce6ed6d6aaae951f45a9f589ac7adc964 | [
"MIT"
] | null | null | null | main.py | bogdanbledea/python-rdf-controller | a041382ce6ed6d6aaae951f45a9f589ac7adc964 | [
"MIT"
] | null | null | null | main.py | bogdanbledea/python-rdf-controller | a041382ce6ed6d6aaae951f45a9f589ac7adc964 | [
"MIT"
] | null | null | null | from datetime import datetime
from apscheduler.schedulers.background import BackgroundScheduler
from flask import Flask, request
import pandas as pd
import requests
# read the test file
data = pd.read_csv('date_test.csv')
# convert date column to datetime, so python can understand
data['Time'] = pd.to_datetime(data['... | 25.98 | 96 | 0.729022 |
bb2ca93917ed513f7e55b5691a7e89d82bb90ba4 | 1,896 | py | Python | examples/00_load-a-map/00_load_map.py | inniyah/pytmxloader | 93a4f8565300663c731b48a7ebe1c9d3b72479b2 | [
"BSD-3-Clause"
] | 1 | 2020-02-22T03:47:09.000Z | 2020-02-22T03:47:09.000Z | examples/00_load-a-map/00_load_map.py | inniyah/pytmxloader | 93a4f8565300663c731b48a7ebe1c9d3b72479b2 | [
"BSD-3-Clause"
] | null | null | null | examples/00_load-a-map/00_load_map.py | inniyah/pytmxloader | 93a4f8565300663c731b48a7ebe1c9d3b72479b2 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This is the pygame minimal example.
"""
__revision__ = "$Rev$"
__version__ = "3.0.0." + __revision__[6:-2]
__author__ = 'DR0ID @ 2009-2011'
import sys
import os
try:
import _path
except:
pass
import tiledtmxloader
# ----------------------------------------... | 23.7 | 80 | 0.563291 |
bb2d52c233b9c027a9bbeb27cc8db44cbb6c5aeb | 440 | py | Python | projects/migrations/0010_auto_20200217_0313.py | wilbrone/Awards | c4c87ca5d700a12dc8d23e2d6092ac59adada4af | [
"MIT"
] | null | null | null | projects/migrations/0010_auto_20200217_0313.py | wilbrone/Awards | c4c87ca5d700a12dc8d23e2d6092ac59adada4af | [
"MIT"
] | 11 | 2020-06-05T20:57:31.000Z | 2021-09-22T18:35:03.000Z | projects/migrations/0010_auto_20200217_0313.py | wilbrone/Awards | c4c87ca5d700a12dc8d23e2d6092ac59adada4af | [
"MIT"
] | null | null | null | # Generated by Django 3.0.2 on 2020-02-17 03:13
from django.db import migrations, models
| 23.157895 | 97 | 0.622727 |
bb2e8260484cf941efeee9bd75b7c4296b3cf0fe | 916 | py | Python | project1/src/run_test.py | JinquanPeng/CS323-Compilers | 6e03d31e9f7c5a4125551c6a84f2783beac3c91d | [
"MIT"
] | null | null | null | project1/src/run_test.py | JinquanPeng/CS323-Compilers | 6e03d31e9f7c5a4125551c6a84f2783beac3c91d | [
"MIT"
] | null | null | null | project1/src/run_test.py | JinquanPeng/CS323-Compilers | 6e03d31e9f7c5a4125551c6a84f2783beac3c91d | [
"MIT"
] | null | null | null | import os
import hashlib
if __name__ == '__main__':
cmds = []
ans = []
cmd = "./bin/splc"
for i in range(1,10):
file_name = cmd+ " ../test/test_1_r0"+str(i)+".spl > rst"
a = "../test/test_1_r0" + str(i) +".out"
cmds.append(file_name)
ans.append(a)
for i in range(10,... | 23.487179 | 65 | 0.532751 |
bb2f86a7407e8af208d180bb44842b6821363661 | 1,219 | py | Python | CybORG/CybORG/Shared/Actions/ShellActionsFolder/PersistenceFolder/Schtasks.py | rafvasq/cage-challenge-1 | 95affdfa38afc1124f1a1a09c92fbc0ed5b96318 | [
"MIT"
] | 18 | 2021-08-20T15:07:55.000Z | 2022-03-11T12:05:15.000Z | CybORG/CybORG/Shared/Actions/ShellActionsFolder/PersistenceFolder/Schtasks.py | rafvasq/cage-challenge-1 | 95affdfa38afc1124f1a1a09c92fbc0ed5b96318 | [
"MIT"
] | 7 | 2021-11-09T06:46:58.000Z | 2022-03-31T12:35:06.000Z | CybORG/CybORG/Shared/Actions/ShellActionsFolder/PersistenceFolder/Schtasks.py | rafvasq/cage-challenge-1 | 95affdfa38afc1124f1a1a09c92fbc0ed5b96318 | [
"MIT"
] | 13 | 2021-08-17T00:26:31.000Z | 2022-03-29T20:06:45.000Z | # Copyright DST Group. Licensed under the MIT license.
from CybORG.Shared.Actions.ShellActionsFolder.PersistenceFolder.Persistence import Persistence
from CybORG.Simulator.State import State
from CybORG.Shared.Enums import OperatingSystemType
from CybORG.Shared.Observation import Observation
| 36.939394 | 94 | 0.689089 |
bb302d96d846c2523f4c01d9c2661d1278d7a867 | 1,220 | py | Python | ch02-安装OpenCV/最简单-使用pip安装opencv-python和opencv-contrib-python/test_video.py | makelove/OpenCV-Python-Tutorial | e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41 | [
"MIT"
] | 2,875 | 2016-10-21T01:33:22.000Z | 2022-03-30T12:15:28.000Z | ch02-安装OpenCV/最简单-使用pip安装opencv-python和opencv-contrib-python/test_video.py | makelove/OpenCV-Python-Tutorial | e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41 | [
"MIT"
] | 12 | 2017-07-18T14:24:27.000Z | 2021-07-04T10:32:25.000Z | ch02-安装OpenCV/最简单-使用pip安装opencv-python和opencv-contrib-python/test_video.py | makelove/OpenCV-Python-Tutorial | e428d648f7aa50d6a0fb4f4d0fb1bd1a600fef41 | [
"MIT"
] | 1,066 | 2017-03-11T01:43:28.000Z | 2022-03-29T14:52:41.000Z | # -*- coding: utf-8 -*-
# @Time : 2017/8/2 10:46
# @Author : play4fun
# @File : test_video.py
# @Software: PyCharm
"""
test_video.py:
"""
import numpy as np
import cv2
from matplotlib import pyplot as plt
cap = cv2.VideoCapture('../../data/vtest.avi')#
# cap = cv2.VideoCapture('output.avi')
# cap = cv2.VideoC... | 25.957447 | 78 | 0.698361 |
bb309be7b79bab53765d51fbd9cd8102d4fe70fe | 691 | py | Python | src/news/migrations/0007_auto_20200211_0715.py | HammudElHammud/newspage | feac69bf0fa3dd6c876e88ef0daae4166b367c09 | [
"bzip2-1.0.6"
] | null | null | null | src/news/migrations/0007_auto_20200211_0715.py | HammudElHammud/newspage | feac69bf0fa3dd6c876e88ef0daae4166b367c09 | [
"bzip2-1.0.6"
] | null | null | null | src/news/migrations/0007_auto_20200211_0715.py | HammudElHammud/newspage | feac69bf0fa3dd6c876e88ef0daae4166b367c09 | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 3.0.3 on 2020-02-11 15:15
from django.db import migrations, models
| 23.827586 | 65 | 0.551375 |
bb30be152200fea640eb2dc2127cb38b5146d564 | 1,719 | py | Python | 006_Picraft_advancedMinecraft/4_bench.py | McrRaspJam/McrRaspJam | 29fb1f7ee54ad7b787b95be1b9795ecb29ba621e | [
"CC0-1.0"
] | null | null | null | 006_Picraft_advancedMinecraft/4_bench.py | McrRaspJam/McrRaspJam | 29fb1f7ee54ad7b787b95be1b9795ecb29ba621e | [
"CC0-1.0"
] | null | null | null | 006_Picraft_advancedMinecraft/4_bench.py | McrRaspJam/McrRaspJam | 29fb1f7ee54ad7b787b95be1b9795ecb29ba621e | [
"CC0-1.0"
] | 1 | 2017-03-07T16:06:32.000Z | 2017-03-07T16:06:32.000Z | #API setup
from picraft import Vector
from picraft import World, Block
if __name__ == "__main__":
main()
| 17.90625 | 49 | 0.668994 |
bb314ff4d3d72fdc85dd64dff7ae3856c4338bdd | 165 | py | Python | Python/011. Built-ins/04. Athlete Sort.py | subhadeep-123/HackerRank | 4596915097e58d9fd7a8bfad3194ac35f0c25177 | [
"MIT"
] | 2 | 2020-07-20T19:47:54.000Z | 2021-04-19T21:14:59.000Z | Python/011. Built-ins/04. Athlete Sort.py | subhadeep-123/HackerRank | 4596915097e58d9fd7a8bfad3194ac35f0c25177 | [
"MIT"
] | null | null | null | Python/011. Built-ins/04. Athlete Sort.py | subhadeep-123/HackerRank | 4596915097e58d9fd7a8bfad3194ac35f0c25177 | [
"MIT"
] | null | null | null | n, m = map(int, input().split())
array = [input() for _ in range(n)]
k = int(input())
for row in sorted(array, key=lambda row: int(row.split()[k])):
print(row)
| 23.571429 | 62 | 0.606061 |
bb3720e54516e77b9a91bf01d1acf58b90d964de | 1,389 | py | Python | Leetcoding-Actions/Explore-Monthly-Challenges/2020-08/05-add-and-search-word-data-stracture-design.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | 1 | 2020-11-14T18:28:13.000Z | 2020-11-14T18:28:13.000Z | Leetcoding-Actions/Explore-Monthly-Challenges/2020-08/05-add-and-search-word-data-stracture-design.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | Leetcoding-Actions/Explore-Monthly-Challenges/2020-08/05-add-and-search-word-data-stracture-design.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null |
# Your WordDictionary object will be instantiated and called as such:
# obj = WordDictionary()
# obj.addWord(word)
# param_2 = obj.search(word)
| 28.346939 | 125 | 0.50468 |
bb37aac3a1d0456fe2c599a0c149fff7be144e31 | 1,740 | py | Python | Hardware/const_hardware.py | modelsplaid/tzq_raspi_hexapod | 129098c1209bf49cadeb3d077060ac45980b8d02 | [
"MIT"
] | null | null | null | Hardware/const_hardware.py | modelsplaid/tzq_raspi_hexapod | 129098c1209bf49cadeb3d077060ac45980b8d02 | [
"MIT"
] | null | null | null | Hardware/const_hardware.py | modelsplaid/tzq_raspi_hexapod | 129098c1209bf49cadeb3d077060ac45980b8d02 | [
"MIT"
] | null | null | null | import json
#json does not support int type key in dictionary,
#so I created this function to do that.
out_file = open("./config/const_hardware_config.json", "r")
config_json = json.load(out_file)
NUTURAL_POSES_PULSE = str_key2int(config_json['NUTURAL_POSES_PULSE'])
NUTURAL_POSES_DEG = str_key2int(config_... | 39.545455 | 74 | 0.701724 |
bb37e66022cf5b3dfa7d812f2c6b4a7dea737948 | 169 | py | Python | strings.py | Abhiforcs/mypythonworkspace | ac5014160fc9b29d1a8d835441e6360f470fae59 | [
"MIT"
] | 1 | 2020-05-12T20:19:53.000Z | 2020-05-12T20:19:53.000Z | strings.py | Abhiforcs/mypythonworkspace | ac5014160fc9b29d1a8d835441e6360f470fae59 | [
"MIT"
] | null | null | null | strings.py | Abhiforcs/mypythonworkspace | ac5014160fc9b29d1a8d835441e6360f470fae59 | [
"MIT"
] | null | null | null | result = count('a','banana')
print(result)
| 18.777778 | 29 | 0.568047 |
bb3c05e140e350f26693ead6608a99e6809a8695 | 592 | py | Python | migrations/versions/bbdff842b0cb_add_revokedtoken.py | rivalrockets/benchmarks.rivalrockets.com | 8f56cae4ac8afc1870e2e3f7d567ffb55649c871 | [
"MIT"
] | null | null | null | migrations/versions/bbdff842b0cb_add_revokedtoken.py | rivalrockets/benchmarks.rivalrockets.com | 8f56cae4ac8afc1870e2e3f7d567ffb55649c871 | [
"MIT"
] | 16 | 2016-09-03T04:16:23.000Z | 2016-10-24T13:05:11.000Z | migrations/versions/bbdff842b0cb_add_revokedtoken.py | rivalrockets/rivalrockets-api | 8f56cae4ac8afc1870e2e3f7d567ffb55649c871 | [
"MIT"
] | null | null | null | """add revokedtoken
Revision ID: bbdff842b0cb
Revises: ad580d7b4f2a
Create Date: 2018-08-22 23:34:44.240714
"""
# revision identifiers, used by Alembic.
revision = 'bbdff842b0cb'
down_revision = 'ad580d7b4f2a'
from alembic import op
import sqlalchemy as sa
| 20.413793 | 59 | 0.692568 |
bb3ca45e0783016717a57abf87ea77f115739f69 | 14,523 | py | Python | test/testRational.py | turkeydonkey/nzmath3 | a48ae9efcf0d9ad1485c2e9863c948a7f1b20311 | [
"BSD-3-Clause"
] | 1 | 2021-05-26T19:22:17.000Z | 2021-05-26T19:22:17.000Z | test/testRational.py | turkeydonkey/nzmath3 | a48ae9efcf0d9ad1485c2e9863c948a7f1b20311 | [
"BSD-3-Clause"
] | null | null | null | test/testRational.py | turkeydonkey/nzmath3 | a48ae9efcf0d9ad1485c2e9863c948a7f1b20311 | [
"BSD-3-Clause"
] | null | null | null |
import unittest
from nzmath.rational import *
import nzmath.finitefield as finitefield
from nzmath.plugins import FLOATTYPE as Float
# Rational, Integer, theIntegerRing, theRationalField
def suite(suffix = "Test"):
suite = unittest.TestSuite()
all_names = globals()
for name in all_names:
if n... | 38.218421 | 91 | 0.641534 |