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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d0089b5c467aacb771cc69018d2b7e9da7c6f7d7 | 3,377 | py | Python | Giveme5W1H/extractor/tools/timex.py | bkrrr/Giveme5W | 657738781fe387d76e6e0da35ed009ccf81f4290 | [
"Apache-2.0"
] | 410 | 2018-05-02T12:53:02.000Z | 2022-03-28T16:11:34.000Z | Giveme5W1H/extractor/tools/timex.py | bkrrr/Giveme5W | 657738781fe387d76e6e0da35ed009ccf81f4290 | [
"Apache-2.0"
] | 51 | 2018-05-02T13:53:19.000Z | 2022-03-22T00:16:39.000Z | Giveme5W1H/extractor/tools/timex.py | TU-Berlin/Giveme5W1H | b1586328393a50acde86015d22f78a4c15bf2f34 | [
"Apache-2.0"
] | 81 | 2018-05-29T14:03:27.000Z | 2022-02-08T08:59:38.000Z | from datetime import datetime
from dateutil.relativedelta import relativedelta
| 35.547368 | 112 | 0.638733 |
d008c5731d8fedc349d8c20f7b0bc4f197dfbb75 | 1,172 | py | Python | utils/get_dic_question_id.py | Pxtri2156/M4C_inforgraphicsVQA | 8846ea01a9be726de03e8944c746203936334bc9 | [
"BSD-3-Clause"
] | 1 | 2022-02-15T14:46:15.000Z | 2022-02-15T14:46:15.000Z | utils/get_dic_question_id.py | Pxtri2156/M4C_inforgraphicsVQA | 8846ea01a9be726de03e8944c746203936334bc9 | [
"BSD-3-Clause"
] | null | null | null | utils/get_dic_question_id.py | Pxtri2156/M4C_inforgraphicsVQA | 8846ea01a9be726de03e8944c746203936334bc9 | [
"BSD-3-Clause"
] | 1 | 2022-02-13T11:15:11.000Z | 2022-02-13T11:15:11.000Z | import argparse
import json
from os import openpty
if __name__ == "__main__":
args = get_parser()
main(args) | 29.3 | 96 | 0.595563 |
d00b60aaa781272c43b31aa8c0398a217c133f07 | 1,863 | py | Python | admin_reskin/templatetags/sort_menu_items.py | cuongnb14/django-admin-reskin | 9245b60195892e8a3d51294ec70692714452bc29 | [
"MIT"
] | null | null | null | admin_reskin/templatetags/sort_menu_items.py | cuongnb14/django-admin-reskin | 9245b60195892e8a3d51294ec70692714452bc29 | [
"MIT"
] | null | null | null | admin_reskin/templatetags/sort_menu_items.py | cuongnb14/django-admin-reskin | 9245b60195892e8a3d51294ec70692714452bc29 | [
"MIT"
] | null | null | null | from django import template
from django.conf import settings
from ..models import Bookmark
register = template.Library()
RESKIN_MENU_APP_ORDER = settings.RESKIN_MENU_APP_ORDER
RESKIN_MENU_MODEL_ORDER = settings.RESKIN_MENU_MODEL_ORDER
RESKIN_APP_ICON = settings.RESKIN_APP_ICON
| 27.397059 | 84 | 0.607085 |
d00bef4cf659464b2641f10ea3856a63d0a1dab5 | 1,537 | py | Python | fda/db.py | tsbischof/fda510k | 40065cc873547ceaf992bd0f51e24fe2b2ea4387 | [
"BSD-2-Clause"
] | null | null | null | fda/db.py | tsbischof/fda510k | 40065cc873547ceaf992bd0f51e24fe2b2ea4387 | [
"BSD-2-Clause"
] | 3 | 2021-08-31T14:00:17.000Z | 2021-09-01T20:47:06.000Z | fda/db.py | tsbischof/fda | 40065cc873547ceaf992bd0f51e24fe2b2ea4387 | [
"BSD-2-Clause"
] | null | null | null | import os
import io
import urllib.request
import zipfile
import pandas
import fda
| 34.155556 | 84 | 0.63175 |
d00e57b669e23409bb8d461e39ac2d007f53bbe7 | 4,657 | py | Python | inpr/get_num_plate.py | patrickn699/INPR | 737a3454a4b83e51e50937bb227ac7f8bc01d0e9 | [
"MIT"
] | 2 | 2021-09-25T06:00:40.000Z | 2021-10-14T13:24:43.000Z | inpr/get_num_plate.py | patrickn699/INPR | 737a3454a4b83e51e50937bb227ac7f8bc01d0e9 | [
"MIT"
] | null | null | null | inpr/get_num_plate.py | patrickn699/INPR | 737a3454a4b83e51e50937bb227ac7f8bc01d0e9 | [
"MIT"
] | 1 | 2022-01-27T11:39:10.000Z | 2022-01-27T11:39:10.000Z | import numpy as np
import matplotlib.pyplot as plt
import re as r
import easyocr
#import os
#os.environ['KMP_DUPLICATE_LIB_OK']='True'
re = easyocr.Reader(['en'])
#pl = []
chk = []
a = ''
a1 = ''
#pl = []
#sym = ['{', ']', '[', '}']
| 26.01676 | 205 | 0.428817 |
d00eac7a88a79181fbec1ff905386e4e480a89db | 3,632 | py | Python | client/nodes/detector_docker/sign_filter_node.py | CanboYe/BusEdge | 2e53e1d1d82559fc3e9f0029b2f0faf4e356b210 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 2 | 2021-08-17T14:14:28.000Z | 2022-02-02T02:09:33.000Z | client/nodes/detector_docker/sign_filter_node.py | cmusatyalab/gabriel-BusEdge | 528a6ee337882c6e709375ecd7ec7e201083c825 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | client/nodes/detector_docker/sign_filter_node.py | cmusatyalab/gabriel-BusEdge | 528a6ee337882c6e709375ecd7ec7e201083c825 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2021-09-01T16:18:29.000Z | 2021-09-01T16:18:29.000Z | # SPDX-FileCopyrightText: 2021 Carnegie Mellon University
#
# SPDX-License-Identifier: Apache-2.0
import logging
import cv2
from busedge_protocol import busedge_pb2
from gabriel_protocol import gabriel_pb2
from sign_filter import SignFilter
logger = logging.getLogger(__name__)
import argparse
import multiprocessing... | 28.155039 | 87 | 0.681718 |
d01001102fad7912a59abc8be03d31f0294830cb | 3,095 | py | Python | collector/cli.py | mvinii94/aws-lambda-log-collector | 682850f282b70aa18663699c7e5e32bc4f6a8be1 | [
"MIT"
] | 4 | 2019-11-13T12:49:31.000Z | 2020-11-19T06:59:45.000Z | collector/cli.py | mvinii94/aws-lambda-log-collector | 682850f282b70aa18663699c7e5e32bc4f6a8be1 | [
"MIT"
] | null | null | null | collector/cli.py | mvinii94/aws-lambda-log-collector | 682850f282b70aa18663699c7e5e32bc4f6a8be1 | [
"MIT"
] | null | null | null | import click
from pathlib import Path
# Local imports
from .__init__ import *
from .utils import parse_time, create_dir, write_file, get_profiles, compress, INVALID_PROFILE, INVALID_DATES
from .lambda_log_collector import LambdaLogCollector
| 41.824324 | 120 | 0.695315 |
d0108ea8045cdfac005ba75c029402f4c357985e | 78 | py | Python | Chapter11/flask-app.py | arifmudi/Data-Processing-with-Optimus | 4f909c893e51a55714a85cf379b8e817b995612d | [
"MIT"
] | 6 | 2020-12-08T15:21:08.000Z | 2022-03-14T03:39:14.000Z | Chapter11/flask-app.py | arifmudi/Data-Processing-with-Optimus | 4f909c893e51a55714a85cf379b8e817b995612d | [
"MIT"
] | null | null | null | Chapter11/flask-app.py | arifmudi/Data-Processing-with-Optimus | 4f909c893e51a55714a85cf379b8e817b995612d | [
"MIT"
] | 2 | 2021-06-24T14:09:38.000Z | 2021-08-09T08:02:00.000Z | import sys
sys.path.append('../../../optimus')
from optimus.server import app | 19.5 | 35 | 0.705128 |
d0159e9e7bbcc76b698e4bc18244e26a32e8736f | 1,068 | py | Python | rllib/environment/mdps/__init__.py | shenao-zhang/DCPU | 0da9aa2b7878b54ba4ee4dca894c2e86cdc0d559 | [
"MIT"
] | 8 | 2020-10-23T07:52:19.000Z | 2022-03-06T13:35:12.000Z | rllib/environment/mdps/__init__.py | shenao-zhang/DCPU | 0da9aa2b7878b54ba4ee4dca894c2e86cdc0d559 | [
"MIT"
] | 3 | 2021-03-04T13:44:01.000Z | 2021-03-23T09:57:50.000Z | rllib/environment/mdps/__init__.py | shenao-zhang/DCPU | 0da9aa2b7878b54ba4ee4dca894c2e86cdc0d559 | [
"MIT"
] | 3 | 2021-03-18T08:23:56.000Z | 2021-07-06T11:20:12.000Z | """Common MDPs in RL literature."""
from gym.envs.registration import register
from .baird_star import BairdStar
from .boyan_chain import BoyanChain
from .double_chain import DoubleChainProblem
from .grid_world import EasyGridWorld
from .random_mdp import RandomMDP
from .single_chain import SingleChainProblem
from .tw... | 33.375 | 88 | 0.801498 |
d01640b2fef264dfd84ea3721e0ecaa46ce8a2a7 | 2,072 | py | Python | common/data_helper.py | ThisIsSoSteve/Project-Tensorflow-Cars | 6cdfedceffa56ac0885ce2253dae4549859b2dbf | [
"MIT"
] | 1 | 2017-05-11T06:01:46.000Z | 2017-05-11T06:01:46.000Z | common/data_helper.py | ThisIsSoSteve/Project-Tensorflow-Cars | 6cdfedceffa56ac0885ce2253dae4549859b2dbf | [
"MIT"
] | 2 | 2017-05-11T10:03:16.000Z | 2017-06-21T18:25:00.000Z | common/data_helper.py | ThisIsSoSteve/Project-Tensorflow-Cars | 6cdfedceffa56ac0885ce2253dae4549859b2dbf | [
"MIT"
] | null | null | null | import glob
import pickle
from shutil import copy
from tqdm import tqdm
#copy_specific_training_data_to_new_folder('F:/Project_Cars_Data/Raw',
#'F:/Project_Cars_Data/Watkins Glen International - Short Circuit',
# 'Watkins Glen International', 'Short Circuit')
# b'Watkins Glen International'
# b'Short Circuit'
# b... | 35.118644 | 100 | 0.639479 |
d017493522e0d4e934860f36259d7cd6e8ff4de0 | 1,009 | py | Python | swifitool/faults/flp.py | chenoya/swifi-tool | 9386fab56e12d83cbe14024b5d5edac0fd1e3baf | [
"MIT"
] | null | null | null | swifitool/faults/flp.py | chenoya/swifi-tool | 9386fab56e12d83cbe14024b5d5edac0fd1e3baf | [
"MIT"
] | null | null | null | swifitool/faults/flp.py | chenoya/swifi-tool | 9386fab56e12d83cbe14024b5d5edac0fd1e3baf | [
"MIT"
] | null | null | null | from faults.faultmodel import FaultModel
from utils import *
| 34.793103 | 93 | 0.617443 |
d0199dc840ae15f108dd63b1047696f29f1a9218 | 1,488 | py | Python | tests/test_warp.py | Krande/ipygany | 471355d043e3952ac68052613135fd5a5ee3a41b | [
"BSD-3-Clause"
] | 450 | 2019-11-29T07:19:42.000Z | 2022-03-27T08:38:18.000Z | tests/test_warp.py | Krande/ipygany | 471355d043e3952ac68052613135fd5a5ee3a41b | [
"BSD-3-Clause"
] | 47 | 2019-12-14T00:57:14.000Z | 2022-01-27T16:14:40.000Z | tests/test_warp.py | Krande/ipygany | 471355d043e3952ac68052613135fd5a5ee3a41b | [
"BSD-3-Clause"
] | 51 | 2019-11-29T07:19:48.000Z | 2022-03-25T13:07:19.000Z | import pytest
from traitlets import TraitError
from ipygany import PolyMesh, Warp
from .utils import get_test_assets
| 26.571429 | 91 | 0.636425 |
d01a949b661519f2a818675ee51e8c4ae04571b0 | 3,120 | py | Python | MLGame/games/snake/ml/rule.py | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | f4a58d0d9f5832a77a4a86352e084065dc7bae50 | [
"MIT"
] | null | null | null | MLGame/games/snake/ml/rule.py | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | f4a58d0d9f5832a77a4a86352e084065dc7bae50 | [
"MIT"
] | null | null | null | MLGame/games/snake/ml/rule.py | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | f4a58d0d9f5832a77a4a86352e084065dc7bae50 | [
"MIT"
] | null | null | null | """
The template of the script for playing the game in the ml mode
"""
| 32.5 | 88 | 0.458013 |
d01ad5a73de06c489b92a116216a85d95752401d | 856 | py | Python | CodingInterviews/python/37_get_num_of_k_2.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | CodingInterviews/python/37_get_num_of_k_2.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | CodingInterviews/python/37_get_num_of_k_2.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding:utf-8
if __name__ == "__main__":
# data = [1, 3, 3, 3, 3, 4, 5]
# k = 2
# k = 3
# k = 4
# k = 6
data = [1, 2, 3, 3, 3, 3]
k = 3
s = Solution()
ans = s.GetNumberOfK(data, k)
print(ans)
| 20.878049 | 48 | 0.408879 |
d01b679428fa012cfcf64fb9a0547f3b7aa6be3a | 2,850 | py | Python | sborl/errors.py | canonical/sborl | f821ecfcbf977d0605def66dca19ea5e8e39b5a3 | [
"Apache-2.0"
] | null | null | null | sborl/errors.py | canonical/sborl | f821ecfcbf977d0605def66dca19ea5e8e39b5a3 | [
"Apache-2.0"
] | null | null | null | sborl/errors.py | canonical/sborl | f821ecfcbf977d0605def66dca19ea5e8e39b5a3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Canonical Ltd.
# See LICENSE file for licensing details.
from typing import Union
from ops.model import Application, Relation, Unit
| 28.217822 | 88 | 0.698246 |
d01bbe0df932770a9de781be883abde7e781fb15 | 23,356 | py | Python | PerceptualLoss.py | kirill-pinigin/DeepImageDenoiser | 9a228c821bd3960688a4ed35f47f4767d226b57c | [
"Apache-2.0"
] | null | null | null | PerceptualLoss.py | kirill-pinigin/DeepImageDenoiser | 9a228c821bd3960688a4ed35f47f4767d226b57c | [
"Apache-2.0"
] | null | null | null | PerceptualLoss.py | kirill-pinigin/DeepImageDenoiser | 9a228c821bd3960688a4ed35f47f4767d226b57c | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from torchvision import models
from torch.autograd import Variable
from torch.nn.parameter import Parameter
from DeepImageDenoiser import LR_THRESHOLD, DIMENSION, LEARNING_RATE
from NeuralModels import SpectralNorm
ITERATION_LIMIT = int(1e6)
SQUEEZENET_CONFIG = {'dnn' : models.squ... | 45.088803 | 163 | 0.630074 |
d01c9a230584278712c3050c6c3bb720320fb106 | 682 | py | Python | app/main/views.py | diellamutoni8/NewsAPPS | 09701c96f687e08de2992e56da4f261b1aadf93c | [
"MIT"
] | null | null | null | app/main/views.py | diellamutoni8/NewsAPPS | 09701c96f687e08de2992e56da4f261b1aadf93c | [
"MIT"
] | null | null | null | app/main/views.py | diellamutoni8/NewsAPPS | 09701c96f687e08de2992e56da4f261b1aadf93c | [
"MIT"
] | null | null | null | from flask import render_template,request,redirect,url_for
from .import main
from ..request import get_sources,get_articles
from ..models import News_article,News_source | 25.259259 | 82 | 0.717009 |
d01da04f511cea7e2cb3c255526d51bbef8b8016 | 724 | py | Python | models/todo.py | chidaobanjiu/Flask_Web | 7f8d33086ca307ae7f1b998ed7d52e27fc625388 | [
"MIT"
] | 1 | 2017-02-01T07:13:37.000Z | 2017-02-01T07:13:37.000Z | models/todo.py | chidaobanjiu/mana2077 | 7f8d33086ca307ae7f1b998ed7d52e27fc625388 | [
"MIT"
] | null | null | null | models/todo.py | chidaobanjiu/mana2077 | 7f8d33086ca307ae7f1b998ed7d52e27fc625388 | [
"MIT"
] | null | null | null | from models import Mongua
| 20.685714 | 42 | 0.476519 |
d01f7d7cb1aafa6f0cf4dd66656aaf36d58e3686 | 371 | py | Python | CanTingSystem/Party.py | scottyyf/oodoop | d254b8a355c985c7672381495ab8a44d7d55e153 | [
"MIT"
] | 2 | 2021-12-14T10:46:14.000Z | 2021-12-14T10:47:00.000Z | CanTingSystem/Party.py | scottyyf/oodoop | d254b8a355c985c7672381495ab8a44d7d55e153 | [
"MIT"
] | 9 | 2021-12-06T06:16:15.000Z | 2021-12-20T06:39:50.000Z | CanTingSystem/Party.py | scottyyf/oodoop | d254b8a355c985c7672381495ab8a44d7d55e153 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: Party.py
Author: Scott Yang(Scott)
Email: yangyingfa@skybility.com
Copyright: Copyright (c) 2021, Skybility Software Co.,Ltd. All rights reserved.
Description:
"""
| 19.526316 | 79 | 0.684636 |
d0205b5caed2d6f638ffecd766f2e084e27abd9b | 11,517 | py | Python | Python/Unittest/Fixtures/tests.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 115 | 2015-03-23T13:34:42.000Z | 2022-03-21T00:27:21.000Z | Python/Unittest/Fixtures/tests.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 56 | 2015-02-25T15:04:26.000Z | 2022-01-03T07:42:48.000Z | Python/Unittest/Fixtures/tests.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 59 | 2015-11-26T11:44:51.000Z | 2022-03-21T00:27:22.000Z | #!/usr/bin/env python
import os
import shutil
import sqlite3
import unittest
import init_db
'''name of database to use as master'''
master_name = 'projects.db'
def setUpModule():
'''create and fill the database'''
conn = sqlite3.connect(master_name)
init_db.execute_file(conn, 'create_db.sql')
init... | 36.33123 | 76 | 0.581488 |
d021199fc85a8a81bc13417b44056945e03b66e3 | 3,668 | py | Python | backend/ids/views/ids.py | block-id/wallet | b5479df7df0e5b5733f0ae262ffc17f9b923347d | [
"Apache-2.0"
] | null | null | null | backend/ids/views/ids.py | block-id/wallet | b5479df7df0e5b5733f0ae262ffc17f9b923347d | [
"Apache-2.0"
] | null | null | null | backend/ids/views/ids.py | block-id/wallet | b5479df7df0e5b5733f0ae262ffc17f9b923347d | [
"Apache-2.0"
] | 1 | 2021-12-31T17:27:44.000Z | 2021-12-31T17:27:44.000Z | import json
from django.http.response import JsonResponse
from django.db.models import Q
from django.contrib.auth import authenticate
from rest_framework import viewsets, mixins
from rest_framework.permissions import IsAuthenticated
from rest_framework.exceptions import ValidationError, AuthenticationFailed
from rest_... | 33.045045 | 88 | 0.634133 |
d0229c062e76ef7372542bd68ae2fdd99d5d9b15 | 1,257 | py | Python | pattern.py | surajwate/textpattern | 79869f932717bec47fc4a0e3e968c5a8321d8038 | [
"MIT"
] | null | null | null | pattern.py | surajwate/textpattern | 79869f932717bec47fc4a0e3e968c5a8321d8038 | [
"MIT"
] | null | null | null | pattern.py | surajwate/textpattern | 79869f932717bec47fc4a0e3e968c5a8321d8038 | [
"MIT"
] | null | null | null |
wordinsquare('SURAJ W', 3)
| 22.854545 | 42 | 0.478123 |
d028aa49515cb0d7956170029a3d7c9b7460dad7 | 2,624 | py | Python | src/apps/analysis/gen/edgeWeightBipartiteGaphGenerator.py | JacobFV/mln-analysis | f78a6531e5126f29e6895e9b8e4b4600110b3858 | [
"MIT"
] | null | null | null | src/apps/analysis/gen/edgeWeightBipartiteGaphGenerator.py | JacobFV/mln-analysis | f78a6531e5126f29e6895e9b8e4b4600110b3858 | [
"MIT"
] | null | null | null | src/apps/analysis/gen/edgeWeightBipartiteGaphGenerator.py | JacobFV/mln-analysis | f78a6531e5126f29e6895e9b8e4b4600110b3858 | [
"MIT"
] | null | null | null | import os
| 35.459459 | 76 | 0.671113 |
d029c8b65c82f8223b70d8ea031a22a8434f3b04 | 5,171 | py | Python | pubs/utils.py | WIPACrepo/publication-web-db | f5d77f43c89377449f4fbe952f6b1dcfc458c91a | [
"MIT"
] | null | null | null | pubs/utils.py | WIPACrepo/publication-web-db | f5d77f43c89377449f4fbe952f6b1dcfc458c91a | [
"MIT"
] | 16 | 2020-09-26T00:49:56.000Z | 2021-09-09T19:03:42.000Z | pubs/utils.py | WIPACrepo/publication-web-db | f5d77f43c89377449f4fbe952f6b1dcfc458c91a | [
"MIT"
] | null | null | null | from datetime import datetime
import logging
import json
import csv
from io import StringIO
import pymongo
from bson.objectid import ObjectId
from . import PUBLICATION_TYPES, PROJECTS, SITES
| 34.704698 | 143 | 0.602591 |
d02b8e08d67537a0237e5ce61fdce30861d1d5de | 2,534 | py | Python | JTL/__init__.py | AgalmicVentures/JTL | 967bc670bf696e0214a69bad619cf0148fec2fe6 | [
"MIT"
] | 3 | 2017-12-06T04:35:24.000Z | 2020-01-29T14:29:57.000Z | JTL/__init__.py | AgalmicVentures/JTL | 967bc670bf696e0214a69bad619cf0148fec2fe6 | [
"MIT"
] | null | null | null | JTL/__init__.py | AgalmicVentures/JTL | 967bc670bf696e0214a69bad619cf0148fec2fe6 | [
"MIT"
] | 2 | 2018-01-06T13:18:07.000Z | 2019-09-01T01:24:04.000Z | #!/usr/bin/env python3
# Copyright (c) 2015-2021 Agalmic Ventures LLC (www.agalmicventures.com)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limit... | 35.194444 | 118 | 0.757695 |
d02bbe745d7a87ef8769d267b8913fe863e1ddc6 | 545 | py | Python | tests/conftest.py | disktnk/onnx-chainer | e4542568009e63e7da83aa0f11b2cb5504e8cef8 | [
"MIT"
] | null | null | null | tests/conftest.py | disktnk/onnx-chainer | e4542568009e63e7da83aa0f11b2cb5504e8cef8 | [
"MIT"
] | null | null | null | tests/conftest.py | disktnk/onnx-chainer | e4542568009e63e7da83aa0f11b2cb5504e8cef8 | [
"MIT"
] | null | null | null | import chainer
import pytest
| 27.25 | 77 | 0.722936 |
d02ea29aa2c01102b027e646e76a227470fdeefe | 200 | py | Python | applications/physbam/physbam-lib/External_Libraries/Archives/boost/tools/build/v2/test/test1.py | schinmayee/nimbus | 170cd15e24a7a88243a6ea80aabadc0fc0e6e177 | [
"BSD-3-Clause"
] | 20 | 2017-07-03T19:09:09.000Z | 2021-09-10T02:53:56.000Z | applications/physbam/physbam-lib/External_Libraries/Archives/boost/tools/build/v2/test/test1.py | schinmayee/nimbus | 170cd15e24a7a88243a6ea80aabadc0fc0e6e177 | [
"BSD-3-Clause"
] | null | null | null | applications/physbam/physbam-lib/External_Libraries/Archives/boost/tools/build/v2/test/test1.py | schinmayee/nimbus | 170cd15e24a7a88243a6ea80aabadc0fc0e6e177 | [
"BSD-3-Clause"
] | 9 | 2017-09-17T02:05:06.000Z | 2020-01-31T00:12:01.000Z | #!/usr/bin/python
import BoostBuild
t = BoostBuild.Tester()
t.write("test.jam","""
actions unbuilt { } unbuilt all ;
ECHO "Hi" ;
""")
t.run_build_system("-ftest.jam", stdout="Hi\n")
t.pass_test()
| 14.285714 | 47 | 0.66 |
d02f44da90d4e56a611cc2675d108a518117aaf4 | 295 | py | Python | micro-benchmark/snippets/classes/tuple_assignment/main.py | WenJinfeng/PyCG | b45e8e04fe697d8301cf27222a8f37646d69f168 | [
"Apache-2.0"
] | 121 | 2020-12-16T20:31:37.000Z | 2022-03-21T20:32:43.000Z | micro-benchmark/snippets/classes/tuple_assignment/main.py | WenJinfeng/PyCG | b45e8e04fe697d8301cf27222a8f37646d69f168 | [
"Apache-2.0"
] | 24 | 2021-03-13T00:04:00.000Z | 2022-03-21T17:28:11.000Z | micro-benchmark/snippets/classes/tuple_assignment/main.py | WenJinfeng/PyCG | b45e8e04fe697d8301cf27222a8f37646d69f168 | [
"Apache-2.0"
] | 19 | 2021-03-23T10:58:47.000Z | 2022-03-24T19:46:50.000Z |
a, b = MyClass(), MyClass2()
c, (d, e) = a.func1, (a.func2, a.func3)
c()
d()
e()
| 11.8 | 39 | 0.515254 |
d02fffe94e43114a1dbd3bf9abf8e18b0238b4a0 | 72 | py | Python | stweet/model/__init__.py | markowanga/stweet | 7f103b5c88fcef1d993d8cdc99cec358e55293f7 | [
"MIT"
] | 101 | 2020-11-22T16:44:25.000Z | 2022-03-30T08:42:07.000Z | stweet/model/__init__.py | markowanga/stweet | 7f103b5c88fcef1d993d8cdc99cec358e55293f7 | [
"MIT"
] | 53 | 2020-11-21T19:40:36.000Z | 2022-03-02T10:09:52.000Z | stweet/model/__init__.py | markowanga/stweet | 7f103b5c88fcef1d993d8cdc99cec358e55293f7 | [
"MIT"
] | 16 | 2020-12-12T23:02:51.000Z | 2022-03-01T12:10:32.000Z | from .language import Language
from .user_tweet_raw import UserTweetRaw
| 24 | 40 | 0.861111 |
d030a03f345b6f7f695002177f49aa4bf23d3d3c | 2,471 | py | Python | src/ColorfulData_Package/ColorfulData.py | Alex8695/Colored | f72a5f5da041b73a8771c1b0f6ef80d5e0e83e7b | [
"MIT"
] | null | null | null | src/ColorfulData_Package/ColorfulData.py | Alex8695/Colored | f72a5f5da041b73a8771c1b0f6ef80d5e0e83e7b | [
"MIT"
] | null | null | null | src/ColorfulData_Package/ColorfulData.py | Alex8695/Colored | f72a5f5da041b73a8771c1b0f6ef80d5e0e83e7b | [
"MIT"
] | null | null | null | import numpy as np
from math import ceil,floor
| 39.222222 | 167 | 0.628086 |
d031d9ffaf0e038bf3ce7cef8d63034738a6cd8f | 6,453 | py | Python | Algorithms/SPO2CART.py | rtm2130/SPOTree | 0b92946a2d14202a1ca251201ddbb07892951e78 | [
"MIT"
] | 15 | 2020-03-06T23:07:09.000Z | 2022-03-30T09:46:30.000Z | Algorithms/SPO2CART.py | Tobias272727/SPOTree | 88e2e8423cb133f6c521bae5b8c7a0acba01ccab | [
"MIT"
] | 1 | 2020-09-14T14:32:03.000Z | 2020-10-16T02:39:24.000Z | Algorithms/SPO2CART.py | Tobias272727/SPOTree | 88e2e8423cb133f6c521bae5b8c7a0acba01ccab | [
"MIT"
] | 13 | 2020-04-04T16:43:56.000Z | 2022-03-27T05:28:19.000Z | """
Encodes SPOT MILP as the structure of a CART tree in order to apply CART's pruning method
Also supports traverse() which traverses the tree
"""
import numpy as np
from mtp_SPO2CART import MTP_SPO2CART
from decision_problem_solver import*
from scipy.spatial import distance
| 44.8125 | 162 | 0.712692 |
d037b0f6bf8c9bdca8f41dcdf3788289e4161b30 | 2,954 | py | Python | lib/m96_visualization.py | jaenrig-ifx/MID | a7284f50105575ed6675daeb8a70e144784a0550 | [
"MIT"
] | 2 | 2020-12-13T11:52:32.000Z | 2022-01-06T20:41:24.000Z | lib/m96_visualization.py | jaenrig-ifx/MID | a7284f50105575ed6675daeb8a70e144784a0550 | [
"MIT"
] | null | null | null | lib/m96_visualization.py | jaenrig-ifx/MID | a7284f50105575ed6675daeb8a70e144784a0550 | [
"MIT"
] | null | null | null | # This package uses tk to create a simple graphical
# output representing the iDrive state
import tkinter as tk
import numpy as np
# why not use the numpy native? but whatever
# this class intializes the canvas and all geometrical
# objets drawn onto it. The method setState simply
# adjusts the co... | 38.868421 | 132 | 0.574475 |
d03a3dde95a4d151a055d00333559975c2f67791 | 2,116 | py | Python | fastreg/ols.py | ajferraro/fastreg | 32cdb15908480bd8d5a084126968c78b17010189 | [
"MIT"
] | null | null | null | fastreg/ols.py | ajferraro/fastreg | 32cdb15908480bd8d5a084126968c78b17010189 | [
"MIT"
] | 1 | 2017-11-28T16:21:09.000Z | 2017-11-28T17:19:04.000Z | fastreg/ols.py | ajferraro/fastreg | 32cdb15908480bd8d5a084126968c78b17010189 | [
"MIT"
] | 3 | 2017-11-28T16:56:25.000Z | 2021-02-18T18:18:46.000Z | import numpy as np
from scipy import stats
import utils
def fit(xdata, ydata):
"""Calculate 2D regression.
Args:
xdata (numpy.ndarray): 1D array of independent data [ntim],
where ntim is the number of time points (or other independent
points).
ydata (numpy.ndarray): 2... | 33.587302 | 75 | 0.614367 |
d03b6aeb253fdd06dec81e7fe877f6830639e18f | 796 | py | Python | event/timeout.py | dannl/hunter-sim-classic | e32cccc8431cc3e78b08067dd58e10fec52aac6a | [
"MIT"
] | null | null | null | event/timeout.py | dannl/hunter-sim-classic | e32cccc8431cc3e78b08067dd58e10fec52aac6a | [
"MIT"
] | null | null | null | event/timeout.py | dannl/hunter-sim-classic | e32cccc8431cc3e78b08067dd58e10fec52aac6a | [
"MIT"
] | null | null | null | from event import Event
| 33.166667 | 77 | 0.653266 |
d03c4e907665dac0cd64374cfeb54bcf34b259de | 2,017 | py | Python | server.py | shawkyelshazly1/Chat-App | 7cb27e9ad0e014409407bc7f2053caf406236797 | [
"MIT"
] | null | null | null | server.py | shawkyelshazly1/Chat-App | 7cb27e9ad0e014409407bc7f2053caf406236797 | [
"MIT"
] | null | null | null | server.py | shawkyelshazly1/Chat-App | 7cb27e9ad0e014409407bc7f2053caf406236797 | [
"MIT"
] | null | null | null | import socket
import threading
import json
PORT = 5000
SERVER = socket.gethostbyname(socket.gethostname())
ADDRESS = ('', PORT)
FORMAT = 'utf-8'
clients, names = [], []
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind(ADDRESS)
StartChat()
| 23.729412 | 89 | 0.562717 |
d03d74f1871e0c66c83e4056b90ca19bdbdf3fd6 | 99 | py | Python | mhs/outbound/outbound/request/synchronous/__init__.py | tomzo/integration-adaptors | d4f296d3e44475df6f69a78a27fac6ed5b67513b | [
"Apache-2.0"
] | 15 | 2019-08-06T16:08:12.000Z | 2021-05-24T13:14:39.000Z | mhs/outbound/outbound/request/synchronous/__init__.py | tomzo/integration-adaptors | d4f296d3e44475df6f69a78a27fac6ed5b67513b | [
"Apache-2.0"
] | 75 | 2019-04-25T13:59:02.000Z | 2021-09-15T06:05:36.000Z | mhs/outbound/outbound/request/synchronous/__init__.py | tomzo/integration-adaptors | d4f296d3e44475df6f69a78a27fac6ed5b67513b | [
"Apache-2.0"
] | 7 | 2019-11-12T15:26:34.000Z | 2021-04-11T07:23:56.000Z | """Modules related specifically to the handling of synchronous requests from a supplier system."""
| 49.5 | 98 | 0.79798 |
d040592f4a74f436af4d264afbb1ca2fae548dc3 | 3,636 | py | Python | WiredQT/examples/Module Example/6.Servo/PIGPIO/frmmain.py | chiptrontech/WiredQTv1.0 | 760948bb736867db4e772031b23ed9151e0364b9 | [
"MIT"
] | 1 | 2021-12-18T09:17:08.000Z | 2021-12-18T09:17:08.000Z | WiredQT/examples/Module Example/6.Servo/PIGPIO/frmmain.py | chiptrontech/WiredQTv1.0 | 760948bb736867db4e772031b23ed9151e0364b9 | [
"MIT"
] | null | null | null | WiredQT/examples/Module Example/6.Servo/PIGPIO/frmmain.py | chiptrontech/WiredQTv1.0 | 760948bb736867db4e772031b23ed9151e0364b9 | [
"MIT"
] | 2 | 2021-12-18T09:15:53.000Z | 2022-01-19T15:10:14.000Z | import gi
import time
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk,GObject,Gdk,Pango,GLib
from wta_module import *
# Generated By WiredGTK for Python: by Rocky Nuarin, 2018 Phils
# #####################www.WireThemAll.com#####################
class Handler(usercontrol):
#WiredEvent def usercontrolev... | 3,636 | 3,636 | 0.672717 |
d041f4ae9fd51d426b42247db152f3d516a92484 | 561 | py | Python | slam_recognition/filters/rgby.py | SimLeek/pySILEnT | feec2d1fb654d7c8dc25f610916f4e9b202a1092 | [
"Apache-2.0",
"MIT"
] | 5 | 2018-11-18T17:35:59.000Z | 2019-02-13T20:25:58.000Z | slam_recognition/filters/rgby.py | SimLeek/slam_recognition | feec2d1fb654d7c8dc25f610916f4e9b202a1092 | [
"Apache-2.0",
"MIT"
] | 12 | 2018-10-31T01:57:55.000Z | 2019-02-07T05:49:36.000Z | slam_recognition/filters/rgby.py | SimLeek/pySILEnT | feec2d1fb654d7c8dc25f610916f4e9b202a1092 | [
"Apache-2.0",
"MIT"
] | null | null | null | from slam_recognition.constant_convolutions.center_surround import rgby_3
from slam_recognition.util.get_dimensions import get_dimensions
import tensorflow as tf
| 37.4 | 97 | 0.673797 |
d042d23ac886c0996046b66ccaa7d239f4bcb644 | 6,293 | py | Python | source/preprocessing/lm_text_generator.py | lzzhaha/self_talk | 238e5583c0f6ca0ed8a4a035b74f366d376bcd6d | [
"Apache-2.0"
] | 63 | 2020-04-14T03:40:12.000Z | 2022-03-30T07:10:20.000Z | source/preprocessing/lm_text_generator.py | lzzhaha/self_talk | 238e5583c0f6ca0ed8a4a035b74f366d376bcd6d | [
"Apache-2.0"
] | 2 | 2021-07-10T04:10:18.000Z | 2022-03-22T20:33:18.000Z | source/preprocessing/lm_text_generator.py | lzzhaha/self_talk | 238e5583c0f6ca0ed8a4a035b74f366d376bcd6d | [
"Apache-2.0"
] | 7 | 2020-12-06T03:22:17.000Z | 2022-03-25T09:27:19.000Z | """
Adapted from https://github.com/huggingface/transformers/blob/master/examples/run_generation.py
"""
import re
import torch
import logging
from typing import List
from collections import defaultdict
from transformers import GPT2Tokenizer, XLNetTokenizer, TransfoXLTokenizer, OpenAIGPTTokenizer
from transformers impo... | 39.33125 | 116 | 0.656444 |
d045397b0181a2b9e3e22ff62f63868e6793ee64 | 79 | py | Python | src/semaphore/handlers/internal/__init__.py | lsst-sqre/semaphore | 73164618ac0c8d0a03f3122f3ffe8b3820fa43f0 | [
"MIT"
] | null | null | null | src/semaphore/handlers/internal/__init__.py | lsst-sqre/semaphore | 73164618ac0c8d0a03f3122f3ffe8b3820fa43f0 | [
"MIT"
] | 2 | 2022-03-08T00:01:27.000Z | 2022-03-28T17:45:01.000Z | src/semaphore/handlers/internal/__init__.py | lsst-sqre/semaphore | 73164618ac0c8d0a03f3122f3ffe8b3820fa43f0 | [
"MIT"
] | null | null | null | from .handlers import router as internal_router
__all__ = ["internal_router"]
| 19.75 | 47 | 0.797468 |
d04578120df1707824a754d31bbc073113fe0980 | 440 | py | Python | Python_ABC/2-7dictionary/countLetter.py | Chandler-Song/Python_Awesome | a44b8b79de7b429a00ac5798e7ecdc26c79a09ed | [
"MIT"
] | null | null | null | Python_ABC/2-7dictionary/countLetter.py | Chandler-Song/Python_Awesome | a44b8b79de7b429a00ac5798e7ecdc26c79a09ed | [
"MIT"
] | null | null | null | Python_ABC/2-7dictionary/countLetter.py | Chandler-Song/Python_Awesome | a44b8b79de7b429a00ac5798e7ecdc26c79a09ed | [
"MIT"
] | null | null | null | import pprint
# message
message = '''
Books and doors are the same thing books.
You open them, and you go through into another world.
'''
# split message to words into a list
words = message.split()
# define dictionary counter
count = {}
# traverse every word and accumulate
for word in words:
if not word[-1].isal... | 18.333333 | 53 | 0.702273 |
d0458729a238b401f69f7c90aa4a7ae3169c62fa | 1,959 | py | Python | clouddq/classes/dq_rule.py | charleskubicek/cloud-data-quality | 0f7dee7daeaaf974203ae154fc7ba729c05cee5d | [
"Apache-2.0"
] | 1 | 2021-11-07T15:03:33.000Z | 2021-11-07T15:03:33.000Z | clouddq/classes/dq_rule.py | ant-laz/cloud-data-quality | 2f41ec692e7a0ec8988bb8e715fcf5e926fa47be | [
"Apache-2.0"
] | null | null | null | clouddq/classes/dq_rule.py | ant-laz/cloud-data-quality | 2f41ec692e7a0ec8988bb8e715fcf5e926fa47be | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 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 agreed to in writing, ... | 23.890244 | 79 | 0.597754 |
d0461663494469b9d6df96b164f06712f149aa53 | 749 | py | Python | py/minsk/analysis/syntax/expressions/parenthesized.py | Phytolizer/Minsk | 5fb59f0d5d8cf1f0046471b91e2f5d0c41fc874c | [
"MIT"
] | null | null | null | py/minsk/analysis/syntax/expressions/parenthesized.py | Phytolizer/Minsk | 5fb59f0d5d8cf1f0046471b91e2f5d0c41fc874c | [
"MIT"
] | 1 | 2022-03-23T03:34:48.000Z | 2022-03-24T06:47:30.000Z | py/minsk/analysis/syntax/expressions/parenthesized.py | Phytolizer/Minsk | 5fb59f0d5d8cf1f0046471b91e2f5d0c41fc874c | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import Iterable
from minsk.analysis.syntax.expression import ExpressionSyntax
from minsk.analysis.syntax.kind import SyntaxKind
from minsk.analysis.syntax.node import SyntaxNode
from minsk.analysis.syntax.token import SyntaxToken
| 29.96 | 61 | 0.791722 |
d04a7bba3d57ad48f159bb585e370285252259ef | 3,113 | py | Python | src/peachyprintertools.py | PeachyPrinter/tkpeachyprinter | d88dcb4891d19c4b81a7f4f072e120d05c02124c | [
"Apache-2.0"
] | 1 | 2017-03-08T02:48:19.000Z | 2017-03-08T02:48:19.000Z | src/peachyprintertools.py | PeachyPrinter/tkpeachyprinter | d88dcb4891d19c4b81a7f4f072e120d05c02124c | [
"Apache-2.0"
] | null | null | null | src/peachyprintertools.py | PeachyPrinter/tkpeachyprinter | d88dcb4891d19c4b81a7f4f072e120d05c02124c | [
"Apache-2.0"
] | 6 | 2016-05-12T04:10:18.000Z | 2020-02-15T09:55:00.000Z | #!/usr/bin/python
# -*- coding: iso-8859-1 -*-
import logging
from peachyprinter import config, PrinterAPI
import argparse
import os
import sys
import time
from Tkinter import *
from ui.main_ui import MainUI
if __name__ == "__main__":
if not os.path.exists(config.PEACHY_PATH):
os.makedirs(config.PEACHY... | 34.208791 | 186 | 0.666881 |
d04d2d19a25223c8c1cc1c6c129d213851622ac0 | 813 | py | Python | db/db_create.py | dafarz/base-service | 95791beac06c1ac58e0fa2050aa2cf3a3a22d8d7 | [
"MIT"
] | null | null | null | db/db_create.py | dafarz/base-service | 95791beac06c1ac58e0fa2050aa2cf3a3a22d8d7 | [
"MIT"
] | null | null | null | db/db_create.py | dafarz/base-service | 95791beac06c1ac58e0fa2050aa2cf3a3a22d8d7 | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from env_variables import SQL_ALCHEMY_URL
_db_url_without_db = '/'.join(SQL_ALCHEMY_URL.split('/')[:-1])
engine = create_engine(f'{_db_url_without_db}', isolation_level='AUTOCOMMIT', echo=True)
Session = sessionmaker(engine)
if __name__ =... | 32.52 | 109 | 0.676507 |
d04dee56b2ed832a66c6149983ca467bfbbbbafc | 404 | py | Python | [5]-RailFence-Cipher.py | anuj0809/Fundamentals-Of-Cryptography | e6f88dcbd5f63f6938ddf5825bf9395d5ede9fe1 | [
"Apache-2.0"
] | null | null | null | [5]-RailFence-Cipher.py | anuj0809/Fundamentals-Of-Cryptography | e6f88dcbd5f63f6938ddf5825bf9395d5ede9fe1 | [
"Apache-2.0"
] | null | null | null | [5]-RailFence-Cipher.py | anuj0809/Fundamentals-Of-Cryptography | e6f88dcbd5f63f6938ddf5825bf9395d5ede9fe1 | [
"Apache-2.0"
] | null | null | null |
print(threeRailEncrypt("Vineet"))
| 19.238095 | 37 | 0.564356 |
d04e92b69338a9a744afe83b7964f2f2ce880ffe | 2,382 | py | Python | util/data.py | arturb90/nl2pl | 2cd37bdd7c6f9f99349f1235001a1755ba169f4a | [
"MIT"
] | null | null | null | util/data.py | arturb90/nl2pl | 2cd37bdd7c6f9f99349f1235001a1755ba169f4a | [
"MIT"
] | null | null | null | util/data.py | arturb90/nl2pl | 2cd37bdd7c6f9f99349f1235001a1755ba169f4a | [
"MIT"
] | 1 | 2021-07-16T09:21:15.000Z | 2021-07-16T09:21:15.000Z | import torch
from random import random
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import Dataset
def collate_fn(batch):
'''
Batch-wise preprocessing and padding.
:param batch: the current batch.
:returns: padded sources, targets, alignments
stacks an... | 27.697674 | 73 | 0.615869 |
d04f4962f6074bb45c68186f6ea8419d8e3eca30 | 649 | py | Python | stocklab/core/crawler.py | hchsiao/stocklab | 9c8f786249d5fd5eb954829f63549f0635a428ff | [
"MIT"
] | 1 | 2020-03-26T14:49:31.000Z | 2020-03-26T14:49:31.000Z | stocklab/core/crawler.py | syoukore/stocklab | 9c8f786249d5fd5eb954829f63549f0635a428ff | [
"MIT"
] | null | null | null | stocklab/core/crawler.py | syoukore/stocklab | 9c8f786249d5fd5eb954829f63549f0635a428ff | [
"MIT"
] | 1 | 2020-06-16T16:56:23.000Z | 2020-06-16T16:56:23.000Z | from . import StocklabObject
| 29.5 | 76 | 0.665639 |
d04fcbb17bf03785d02041e016915bdc95d6404c | 4,514 | py | Python | tiddlyweb/web/validator.py | tiddlyweb/tiddlyweb | 376bcad280e24d2de4d74883dc4d8369abcb2c28 | [
"BSD-3-Clause"
] | 57 | 2015-02-01T21:03:34.000Z | 2021-12-25T12:02:31.000Z | tiddlyweb/web/validator.py | tiddlyweb/tiddlyweb | 376bcad280e24d2de4d74883dc4d8369abcb2c28 | [
"BSD-3-Clause"
] | 6 | 2016-02-05T11:43:32.000Z | 2019-09-05T13:38:49.000Z | tiddlyweb/web/validator.py | tiddlyweb/tiddlyweb | 376bcad280e24d2de4d74883dc4d8369abcb2c28 | [
"BSD-3-Clause"
] | 17 | 2015-05-12T08:53:23.000Z | 2021-12-21T15:56:30.000Z | """
A collection of routines for validating, santizing and otherwise messing
with content coming in from the web to be :py:class:`tiddlers
<tiddlyweb.model.tiddler.Tidder>`, :py:class:`bags
<tiddlyweb.model.bag.Bag>` or :py:class:`recipes
<tiddlyweb.model.recipe.Recipe>`.
The validators can be extended by adding funct... | 31.347222 | 77 | 0.699158 |
d050c2f9fe46941d4dbe952021eec4b5d9528020 | 6,548 | py | Python | mth5/io/lemi424.py | kujaku11/mth5 | b7681335871f3cd1b652276fd93c08554c7538ff | [
"MIT"
] | 5 | 2021-01-08T23:38:47.000Z | 2022-03-31T14:13:47.000Z | mth5/io/lemi424.py | kujaku11/mth5 | b7681335871f3cd1b652276fd93c08554c7538ff | [
"MIT"
] | 76 | 2020-09-04T02:35:19.000Z | 2022-03-31T22:18:09.000Z | mth5/io/lemi424.py | kujaku11/mth5 | b7681335871f3cd1b652276fd93c08554c7538ff | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue May 11 15:31:31 2021
:copyright:
Jared Peacock (jpeacock@usgs.gov)
:license: MIT
"""
from pathlib import Path
import pandas as pd
import numpy as np
import logging
from mth5.timeseries import ChannelTS, RunTS
from mt_metadata.timeseries import Station, Run
def ... | 27.170124 | 81 | 0.464875 |
d050d5f902907c952287689dc0a4c79b3535eea2 | 4,895 | py | Python | preprocessing/encoder.py | mjlaali/housing-model | 8f0286a4b1909b7e0218d9a8f1340b95d5b9463d | [
"Apache-2.0"
] | null | null | null | preprocessing/encoder.py | mjlaali/housing-model | 8f0286a4b1909b7e0218d9a8f1340b95d5b9463d | [
"Apache-2.0"
] | 3 | 2020-11-13T18:43:28.000Z | 2022-02-10T01:18:05.000Z | preprocessing/encoder.py | mjlaali/housing_model | 8f0286a4b1909b7e0218d9a8f1340b95d5b9463d | [
"Apache-2.0"
] | null | null | null | import abc
import logging
import os
import pickle
from collections import Counter
from datetime import datetime
from typing import List, Union
import numpy as np
_logger = logging.getLogger(__name__)
class StatelessTransformation(Transformation, abc.ABC):
class WhitespaceTokenizer(StatelessTransformation):
cla... | 28.459302 | 102 | 0.614913 |
d05258e114b5375cb6f9a5865f707d6098504caa | 27 | py | Python | tests/unittests/__init__.py | p33t00/py-game | 9a77dc0daf3def1f17d97887281078d8a0918090 | [
"MIT"
] | null | null | null | tests/unittests/__init__.py | p33t00/py-game | 9a77dc0daf3def1f17d97887281078d8a0918090 | [
"MIT"
] | null | null | null | tests/unittests/__init__.py | p33t00/py-game | 9a77dc0daf3def1f17d97887281078d8a0918090 | [
"MIT"
] | null | null | null | """Initialize unittest."""
| 13.5 | 26 | 0.666667 |
d0526bab2f2fcce625c5809ae54737f104402629 | 2,402 | py | Python | tests/test_anglicize.py | hugovk/python-anglicize | 1284ec72026f78d56ff5e995328547565ddb4f0b | [
"BSD-2-Clause"
] | 1 | 2020-03-08T09:33:14.000Z | 2020-03-08T09:33:14.000Z | tests/test_anglicize.py | hugovk/python-anglicize | 1284ec72026f78d56ff5e995328547565ddb4f0b | [
"BSD-2-Clause"
] | 2 | 2020-03-08T16:45:08.000Z | 2020-03-08T20:34:04.000Z | tests/test_anglicize.py | hugovk/python-anglicize | 1284ec72026f78d56ff5e995328547565ddb4f0b | [
"BSD-2-Clause"
] | 1 | 2020-03-08T16:33:22.000Z | 2020-03-08T16:33:22.000Z | import pytest
from pytest import param as p
from anglicize import anglicize, build_mapping
| 37.53125 | 94 | 0.562448 |
d053babddc7a2862293a9876d42fa1a7ffe1dc9e | 109 | py | Python | control/City.py | ChreSyr/kerys | 48749f15c8caed221598f350a2530f81dcf8f291 | [
"MIT"
] | null | null | null | control/City.py | ChreSyr/kerys | 48749f15c8caed221598f350a2530f81dcf8f291 | [
"MIT"
] | null | null | null | control/City.py | ChreSyr/kerys | 48749f15c8caed221598f350a2530f81dcf8f291 | [
"MIT"
] | null | null | null |
import baopig as bp
import images as im
# TODO : a city defines the style, a district defines the content | 15.571429 | 65 | 0.752294 |
d053ccfb39ce30bd9ced8dc52651dfaad639314a | 11,426 | py | Python | app/routes.py | mrtoronto/FAIPD | 8cb4df2577af515238ce6ee12e627b830bec67a6 | [
"MIT"
] | null | null | null | app/routes.py | mrtoronto/FAIPD | 8cb4df2577af515238ce6ee12e627b830bec67a6 | [
"MIT"
] | null | null | null | app/routes.py | mrtoronto/FAIPD | 8cb4df2577af515238ce6ee12e627b830bec67a6 | [
"MIT"
] | null | null | null | from datetime import datetime
from flask import render_template, flash, redirect, url_for, request
from flask_login import login_user, logout_user, current_user, login_required
from werkzeug.urls import url_parse
from app import app, db
from app.forms import LoginForm, RegistrationForm, EditProfileForm, PostForm, ... | 40.953405 | 105 | 0.647033 |
d053e208c7d7b16075409089cf697fffe7f24a16 | 2,147 | py | Python | try_test.py | olvitar/python_training | 4c2ca819b1781fc785dc634f4e13e88fc0b45fc2 | [
"Apache-2.0"
] | null | null | null | try_test.py | olvitar/python_training | 4c2ca819b1781fc785dc634f4e13e88fc0b45fc2 | [
"Apache-2.0"
] | null | null | null | try_test.py | olvitar/python_training | 4c2ca819b1781fc785dc634f4e13e88fc0b45fc2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
success = True
wd = webdriver.Firefox()
wait = WebDriverWait(wd, 22)
try:
wd.get("https://www.python.org/")
wd.find_element_by_css_selector("button").click()
wd.find_element_by_link_text("Succes... | 40.509434 | 93 | 0.723335 |
d0543092d21f71915cd4c279a74f105e00c18015 | 7,035 | py | Python | cogs/Reminders.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | 1 | 2020-11-29T23:00:27.000Z | 2020-11-29T23:00:27.000Z | cogs/Reminders.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | 18 | 2020-08-05T11:59:31.000Z | 2022-03-15T03:48:40.000Z | cogs/Reminders.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | null | null | null | import logging
import re
from datetime import timezone
import pendulum
from aioscheduler import TimedScheduler
from dateparser import parse
from discord.ext import commands
from discord.ext.menus import MenuPages
import db
from cogs import CustomCog, AinitMixin
from cogs.Logging import log_usage
from const import UNI... | 33.341232 | 114 | 0.5828 |
d05487672c8369c2d9e228e3c2e3d6e6a8514f49 | 4,598 | py | Python | lambda/code/lambda_function.py | acloudfan/Amazon-Aurora-DAS-Setup | 9c5ca4ac3705e78e877fc51b9ba927a7d367d029 | [
"MIT-0"
] | null | null | null | lambda/code/lambda_function.py | acloudfan/Amazon-Aurora-DAS-Setup | 9c5ca4ac3705e78e877fc51b9ba927a7d367d029 | [
"MIT-0"
] | null | null | null | lambda/code/lambda_function.py | acloudfan/Amazon-Aurora-DAS-Setup | 9c5ca4ac3705e78e877fc51b9ba927a7d367d029 | [
"MIT-0"
] | 2 | 2021-05-25T16:14:13.000Z | 2022-01-14T14:04:49.000Z | import json
import base64
import os
import boto3
import zlib
# Used for decryption of the received payload
import aws_encryption_sdk
from aws_encryption_sdk import CommitmentPolicy
from aws_encryption_sdk.internal.crypto import WrappingKey
from aws_encryption_sdk.key_providers.raw import RawMasterKeyProvider
from aws_... | 38.316667 | 139 | 0.738582 |
d05800ed78f8e4d54ffdbd820c4452051fa6d0a1 | 195 | py | Python | location/admin.py | GDG2021hackathon/modoogym-backend-dj | 1af8c4132a8979bf333b725b73c3e5eab3e228b5 | [
"MIT"
] | null | null | null | location/admin.py | GDG2021hackathon/modoogym-backend-dj | 1af8c4132a8979bf333b725b73c3e5eab3e228b5 | [
"MIT"
] | null | null | null | location/admin.py | GDG2021hackathon/modoogym-backend-dj | 1af8c4132a8979bf333b725b73c3e5eab3e228b5 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Location
admin.site.register(Location, LocationAdmin)
| 17.727273 | 44 | 0.753846 |
d0592aa31ec2220c57276d8f6df3bc52f87e72e4 | 138 | py | Python | SimCam/__init__.py | AgainstEntropy/my-interpretable-ConvNeXt | ec12be73dcd6c0b0f73bd90b61b5fce33246bdbb | [
"MIT"
] | null | null | null | SimCam/__init__.py | AgainstEntropy/my-interpretable-ConvNeXt | ec12be73dcd6c0b0f73bd90b61b5fce33246bdbb | [
"MIT"
] | null | null | null | SimCam/__init__.py | AgainstEntropy/my-interpretable-ConvNeXt | ec12be73dcd6c0b0f73bd90b61b5fce33246bdbb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Date : 2022/4/13 12:07
# @Author : WangYihao
# @File : __init__.py.py
from SimCam.simcam import SimCam
| 19.714286 | 32 | 0.608696 |
d059502a7ec59d16005b90bde454a7338ee03251 | 3,315 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/iSCSI_Data_Out_template.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/iSCSI_Data_Out_template.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/iSCSI_Data_Out_template.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
| 37.670455 | 92 | 0.715837 |
d05a3552b3ed442094ecdba600618970c4eeddf8 | 289 | py | Python | rated/migrations/0005_delete_profileapi.py | nyamzy/Rater | 934a6600afe4b47742621bbe0a47c1afc6325a21 | [
"Unlicense"
] | null | null | null | rated/migrations/0005_delete_profileapi.py | nyamzy/Rater | 934a6600afe4b47742621bbe0a47c1afc6325a21 | [
"Unlicense"
] | null | null | null | rated/migrations/0005_delete_profileapi.py | nyamzy/Rater | 934a6600afe4b47742621bbe0a47c1afc6325a21 | [
"Unlicense"
] | null | null | null | # Generated by Django 4.0.2 on 2022-02-16 14:11
from django.db import migrations
| 17 | 47 | 0.595156 |
d05d10f97cc5c0bdb332b3fd013760d9dc94d719 | 9,449 | py | Python | Code/Maskrcnn-keras/Experiments2/our_preprocessing.py | SZamboni/NightPedestrianDetection | fc492e0bd3f6f99070975d08a229cc6ef969f9e8 | [
"MIT"
] | 3 | 2020-04-03T06:25:23.000Z | 2021-04-06T07:30:56.000Z | Code/Maskrcnn-keras/Experiments2/our_preprocessing.py | SZamboni/NightPedestrianDetection | fc492e0bd3f6f99070975d08a229cc6ef969f9e8 | [
"MIT"
] | null | null | null | Code/Maskrcnn-keras/Experiments2/our_preprocessing.py | SZamboni/NightPedestrianDetection | fc492e0bd3f6f99070975d08a229cc6ef969f9e8 | [
"MIT"
] | 1 | 2021-04-06T07:40:26.000Z | 2021-04-06T07:40:26.000Z | import cv2
import numpy as np
from skimage import exposure as ex
from skimage import data
from PIL import Image
import skfuzzy as fuzz
import math
import timeit
import time
'''
Histogram equalization with colour YCR_CB and histogram equalization only on Y
@img: the image to modify
@return: the image with the histogr... | 31.288079 | 105 | 0.650122 |
d05de342ea54b26f257e91dab0c259cdcde355f4 | 1,812 | py | Python | bin/make_known_good_cice_masks.py | PRIMAVERA-H2020/pre-proc | 0c47636cbe32a13a9544f3e5ce9f4c778dc55078 | [
"BSD-3-Clause"
] | null | null | null | bin/make_known_good_cice_masks.py | PRIMAVERA-H2020/pre-proc | 0c47636cbe32a13a9544f3e5ce9f4c778dc55078 | [
"BSD-3-Clause"
] | null | null | null | bin/make_known_good_cice_masks.py | PRIMAVERA-H2020/pre-proc | 0c47636cbe32a13a9544f3e5ce9f4c778dc55078 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
make_known_good_cice_masks.py
Copy known good CICE masks for use in fixing the HadGEM CICE masks.
"""
import os
import numpy as np
from netCDF4 import Dataset
OUTPUT_DIR = "/gws/nopw/j04/primavera1/masks/HadGEM3Ocean_fixes/cice_masks"
def main():
"""main entry"""
rootgrp = Dataset... | 31.241379 | 78 | 0.642936 |
d05e365d3bba6c56cbc2fec6fc272d72dc471554 | 1,071 | py | Python | plotmass/statistics.py | QUT-Motorsport/QUTMS_VehicleSim | 5c69a76beb889f3e1fb8a157751f5b6dc12d6d10 | [
"MIT"
] | 2 | 2020-05-10T13:44:05.000Z | 2021-11-30T14:59:26.000Z | plotmass/statistics.py | QUT-Motorsport/QUTMS_VehicleSim | 5c69a76beb889f3e1fb8a157751f5b6dc12d6d10 | [
"MIT"
] | 24 | 2020-01-12T14:12:26.000Z | 2020-07-22T02:34:53.000Z | plotmass/statistics.py | QUT-Motorsport/QUTMS_VehicleSim | 5c69a76beb889f3e1fb8a157751f5b6dc12d6d10 | [
"MIT"
] | 2 | 2020-01-13T06:51:31.000Z | 2021-12-30T16:45:43.000Z | from datetime import timedelta | 25.5 | 79 | 0.577965 |
d05e5954805301cc10d8ab2d703ec21b5e037de7 | 756 | py | Python | config.py | raspberry9/tinypost | 6e4b4bf764e93f6d344fbdb9369f326f08146d00 | [
"MIT"
] | null | null | null | config.py | raspberry9/tinypost | 6e4b4bf764e93f6d344fbdb9369f326f08146d00 | [
"MIT"
] | null | null | null | config.py | raspberry9/tinypost | 6e4b4bf764e93f6d344fbdb9369f326f08146d00 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import configparser
| 26.068966 | 53 | 0.539683 |
d05e5b044a9120637eea4c01afc5076feed78586 | 2,817 | py | Python | database/database.py | Valzavator/YouTubeTrendingVideosAnalysis | 4baca01a351a20bec04331936cd9f6eafaea815d | [
"MIT"
] | 2 | 2019-06-11T03:26:50.000Z | 2020-04-13T01:28:23.000Z | database/database.py | Valzavator/YouTubeTrendingVideosAnalysis | 4baca01a351a20bec04331936cd9f6eafaea815d | [
"MIT"
] | 2 | 2020-01-08T13:11:49.000Z | 2020-01-08T13:11:54.000Z | database/database.py | Valzavator/YouTubeTrendingVideosAnalysis | 4baca01a351a20bec04331936cd9f6eafaea815d | [
"MIT"
] | 1 | 2019-06-11T03:26:54.000Z | 2019-06-11T03:26:54.000Z | import os
import subprocess
from dotenv import load_dotenv
import pymongo
from pymongo import MongoClient
from pymongo.cursor import Cursor
from pymongo.errors import DuplicateKeyError, BulkWriteError
from util.args import Args
load_dotenv()
| 28.17 | 95 | 0.649627 |
d0629421490c20c90017965031c7298c1372c640 | 4,066 | py | Python | messaging_components/services/service_docker.py | fgiorgetti/qpid-dispatch-tests | 164c609d28db87692eed53d5361aa1ee5c97375c | [
"Apache-2.0"
] | null | null | null | messaging_components/services/service_docker.py | fgiorgetti/qpid-dispatch-tests | 164c609d28db87692eed53d5361aa1ee5c97375c | [
"Apache-2.0"
] | null | null | null | messaging_components/services/service_docker.py | fgiorgetti/qpid-dispatch-tests | 164c609d28db87692eed53d5361aa1ee5c97375c | [
"Apache-2.0"
] | null | null | null | from enum import Enum
from typing import Union
from iqa_common.executor import Command, Execution, ExecutorAnsible, CommandAnsible, ExecutorContainer, \
CommandContainer, Executor
from iqa_common.utils.docker_util import DockerUtil
from messaging_abstract.component import Service, ServiceStatus
import logging
| 38.72381 | 105 | 0.632809 |
d063b8972e4afe0fab8307dbfa94ac49321f94ea | 4,836 | py | Python | seatsvotes/bootstrap/abstracts.py | ljwolf/seatsvotes | 6d44bba02016cc7ac24cebf6e0d70e1e9e801a5b | [
"MIT"
] | null | null | null | seatsvotes/bootstrap/abstracts.py | ljwolf/seatsvotes | 6d44bba02016cc7ac24cebf6e0d70e1e9e801a5b | [
"MIT"
] | null | null | null | seatsvotes/bootstrap/abstracts.py | ljwolf/seatsvotes | 6d44bba02016cc7ac24cebf6e0d70e1e9e801a5b | [
"MIT"
] | null | null | null | import numpy as np
from ..mixins import Preprocessor, AlwaysPredictPlotter, AdvantageEstimator
from warnings import warn
| 49.85567 | 121 | 0.575889 |
d064480390cd469cea87e1fccaa98205621d8e9a | 147 | py | Python | Logging/log4.py | Anilkumar95/python-75-hackathon | 0cc9304e46ceace826090614b46d8048a068d106 | [
"MIT"
] | null | null | null | Logging/log4.py | Anilkumar95/python-75-hackathon | 0cc9304e46ceace826090614b46d8048a068d106 | [
"MIT"
] | null | null | null | Logging/log4.py | Anilkumar95/python-75-hackathon | 0cc9304e46ceace826090614b46d8048a068d106 | [
"MIT"
] | 2 | 2019-01-27T16:59:48.000Z | 2019-01-29T13:07:40.000Z |
import logging
logging.warning('warning message')
logging.error('This is an error message')
logging.critical('This is a critical error message')
| 21 | 52 | 0.782313 |
d064ab0067234e99ee2f70ae98cf7d5fece967e6 | 304 | py | Python | spellcheck.py | laiquzzama/laiquzzama | 42393808ecb0342392ab055d9d94220de8a15796 | [
"Apache-2.0"
] | 3 | 2021-03-06T01:42:51.000Z | 2021-04-13T12:02:47.000Z | spellcheck.py | laiquzzama/laiquzzama | 42393808ecb0342392ab055d9d94220de8a15796 | [
"Apache-2.0"
] | null | null | null | spellcheck.py | laiquzzama/laiquzzama | 42393808ecb0342392ab055d9d94220de8a15796 | [
"Apache-2.0"
] | null | null | null | from textblob import TextBlob
a = str(input("enter your word to check spell")
_b = TextBlob(a)
print (_b.correct())
# from textblob import Textblob
#mylst = ["firt","clor"]
#correct_list = []
#for word in mylst:
# correct_list.append(TextBlob())
#
#for word in correct_list:
# print (word.correct())
| 19 | 47 | 0.700658 |
d064bc4db90fca2bed0f8cf38219eca21ad15605 | 1,657 | py | Python | lessons/cse-numpy/drums/drums-5.py | uiuc-cse/2014-01-30-cse | de30ff0afdbb2030c3a844b9cd138177f38d3b76 | [
"CC-BY-3.0"
] | 1 | 2021-04-21T23:05:51.000Z | 2021-04-21T23:05:51.000Z | lessons/cse-numpy/drums/drums-5.py | gitter-badger/2014-01-30-cse | de30ff0afdbb2030c3a844b9cd138177f38d3b76 | [
"CC-BY-3.0"
] | null | null | null | lessons/cse-numpy/drums/drums-5.py | gitter-badger/2014-01-30-cse | de30ff0afdbb2030c3a844b9cd138177f38d3b76 | [
"CC-BY-3.0"
] | 2 | 2016-03-12T02:28:13.000Z | 2017-05-01T20:43:22.000Z | from __future__ import division
import numpy as np
import scipy as sp
import matplotlib as mpl
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from scipy.special import jn, jn_zeros
import subprocess
# Define polar and cartesian coordinates for the drum.
theta = np.r_[0:2*np.pi:50j]
radius = n... | 31.865385 | 104 | 0.660229 |
d065e2da402db36ecb6c887992ef35dec831f741 | 704 | py | Python | QB5/spiders/qb5.py | smithgoo/Scrapy_books | b556714510473f324a2952b739d79c0c78f47398 | [
"MIT"
] | null | null | null | QB5/spiders/qb5.py | smithgoo/Scrapy_books | b556714510473f324a2952b739d79c0c78f47398 | [
"MIT"
] | null | null | null | QB5/spiders/qb5.py | smithgoo/Scrapy_books | b556714510473f324a2952b739d79c0c78f47398 | [
"MIT"
] | null | null | null | import scrapy
from bs4 import BeautifulSoup
import requests
from QB5.pipelines import dbHandle
from QB5.items import Qb5Item
| 28.16 | 61 | 0.536932 |
d0688c7557a32c0ad0f636ac14f06a163a2f4570 | 36,514 | py | Python | BookDatabaseUtility.py | BitWorks/xbrlstudio | 231beb46c56c8086f9fcc8846955667d947709c2 | [
"MIT"
] | null | null | null | BookDatabaseUtility.py | BitWorks/xbrlstudio | 231beb46c56c8086f9fcc8846955667d947709c2 | [
"MIT"
] | null | null | null | BookDatabaseUtility.py | BitWorks/xbrlstudio | 231beb46c56c8086f9fcc8846955667d947709c2 | [
"MIT"
] | null | null | null | """
:mod: 'BookDatabaseUtility'
~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. py:module:: BookDatabaseUtility
:copyright: Copyright BitWorks LLC, All rights reserved.
:license: MIT
:synopsis: SQLAlchemy ORM engine, metadata, and utility functions for working with dynamic sqlite databases
:description: Contains the f... | 50.019178 | 160 | 0.572082 |
d0693c16999250ca2301257521cd46471a60d89e | 58 | py | Python | hela/math/__init__.py | erikmunkby/hela | 915221386fbdb8d6f5783b97d44af036a5e5f7aa | [
"Apache-2.0"
] | 1 | 2022-02-26T17:55:42.000Z | 2022-02-26T17:55:42.000Z | hela/math/__init__.py | erikmunkby/hela | 915221386fbdb8d6f5783b97d44af036a5e5f7aa | [
"Apache-2.0"
] | null | null | null | hela/math/__init__.py | erikmunkby/hela | 915221386fbdb8d6f5783b97d44af036a5e5f7aa | [
"Apache-2.0"
] | null | null | null | """
Module for math and statistics related functions.
"""
| 14.5 | 49 | 0.724138 |
d06a5181661f5f73feeb7820ddebac2f55560f7e | 3,491 | py | Python | src/models/markov_chain.py | dballesteros7/master-thesis-2015 | 8c0bf9a6eef172fc8167a30780ae0666f8ea2d88 | [
"MIT"
] | null | null | null | src/models/markov_chain.py | dballesteros7/master-thesis-2015 | 8c0bf9a6eef172fc8167a30780ae0666f8ea2d88 | [
"MIT"
] | null | null | null | src/models/markov_chain.py | dballesteros7/master-thesis-2015 | 8c0bf9a6eef172fc8167a30780ae0666f8ea2d88 | [
"MIT"
] | null | null | null | import itertools
import numpy as np
import constants
from utils import file
if __name__ == '__main__':
train_and_evaluate(constants.DATASET_NAME_TPL.format('100_no_singles'), 100)
#train_and_evaluate(constants.DATASET_NAME_TPL.format('50_no_singles'), 50)
| 42.573171 | 80 | 0.593813 |
d06ac96e9708483c7fba688eecfd660ccb68f5f6 | 31 | py | Python | Tasks_codes/task1_catdog.py | manasviaggarwal/tipr-second-assignment | 45869a71c9de1a1d66c3581a06854f330f38e14d | [
"MIT"
] | null | null | null | Tasks_codes/task1_catdog.py | manasviaggarwal/tipr-second-assignment | 45869a71c9de1a1d66c3581a06854f330f38e14d | [
"MIT"
] | null | null | null | Tasks_codes/task1_catdog.py | manasviaggarwal/tipr-second-assignment | 45869a71c9de1a1d66c3581a06854f330f38e14d | [
"MIT"
] | null | null | null |
ACCURACY :::62.86377259982597 | 15.5 | 30 | 0.774194 |
d06c3b1e34c6a4e7355555a0f272e78441d27ce6 | 11,611 | py | Python | lablog/python/ExperimentRepository.py | yonch/wireless | 5e5a081fcf3cd49d901f25db6c4c1fabbfc921d5 | [
"MIT"
] | 29 | 2015-03-11T04:54:01.000Z | 2021-09-20T06:07:59.000Z | lablog/python/ExperimentRepository.py | darksidelemm/wireless | 5e5a081fcf3cd49d901f25db6c4c1fabbfc921d5 | [
"MIT"
] | null | null | null | lablog/python/ExperimentRepository.py | darksidelemm/wireless | 5e5a081fcf3cd49d901f25db6c4c1fabbfc921d5 | [
"MIT"
] | 16 | 2015-01-28T18:58:33.000Z | 2021-08-29T02:00:24.000Z |
import bsddb.db as bdb
import os.path
import cPickle
from base64 import b64encode, b64decode
from struct import pack
| 32.432961 | 112 | 0.571872 |
d06c950496205dbbc1ed9eef4c8c7e1dcbe953e8 | 1,668 | py | Python | tests/pipeline/nodes/dabble/test_check_large_groups.py | ericleehy/PeekingDuck | 8cf1be842235fa60bac13bc466cac09747a780ea | [
"Apache-2.0"
] | 1 | 2021-12-02T05:15:58.000Z | 2021-12-02T05:15:58.000Z | tests/pipeline/nodes/dabble/test_check_large_groups.py | ericleehy/PeekingDuck | 8cf1be842235fa60bac13bc466cac09747a780ea | [
"Apache-2.0"
] | null | null | null | tests/pipeline/nodes/dabble/test_check_large_groups.py | ericleehy/PeekingDuck | 8cf1be842235fa60bac13bc466cac09747a780ea | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 AI Singapore
#
# 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... | 34.040816 | 87 | 0.678657 |
d06e09e4639214f16deaafbd6112fa849f57cd73 | 2,684 | py | Python | src/seisspark/seisspark_context.py | kdeyev/SeisSpark | 528d22143acb72e78ed310091db07eb5d731ca09 | [
"ECL-2.0",
"Apache-2.0"
] | 11 | 2017-08-16T02:32:37.000Z | 2020-12-25T07:18:57.000Z | src/seisspark/seisspark_context.py | kdeyev/SeisSpark | 528d22143acb72e78ed310091db07eb5d731ca09 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-10-15T14:44:17.000Z | 2018-10-15T14:44:17.000Z | src/seisspark/seisspark_context.py | kdeyev/SeisSpark | 528d22143acb72e78ed310091db07eb5d731ca09 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2018-05-16T02:36:38.000Z | 2020-06-15T07:46:50.000Z | # =============================================================================
# Copyright (c) 2021 SeisSpark (https://github.com/kdeyev/SeisSpark).
#
# 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 Lice... | 38.342857 | 117 | 0.616617 |
d06f1cb2d99e6c91380d0f70f6e5f7c771735207 | 1,116 | py | Python | tests/parsers/notifications/test_Notification.py | Tberdy/python-amazon-mws-tools | 2925118ce113851a2d8db98ad7f99163154f4151 | [
"Unlicense"
] | 9 | 2017-03-28T12:58:36.000Z | 2020-03-02T14:42:32.000Z | tests/parsers/notifications/test_Notification.py | Tberdy/python-amazon-mws-tools | 2925118ce113851a2d8db98ad7f99163154f4151 | [
"Unlicense"
] | 5 | 2017-01-05T19:36:18.000Z | 2021-12-13T19:43:42.000Z | tests/parsers/notifications/test_Notification.py | Tberdy/python-amazon-mws-tools | 2925118ce113851a2d8db98ad7f99163154f4151 | [
"Unlicense"
] | 5 | 2017-02-15T17:29:02.000Z | 2019-03-06T07:30:55.000Z | from unittest import TestCase
from unittest import TestSuite
from unittest import main
from unittest import makeSuite
from mwstools.parsers.notifications import Notification
__all__ = [
TestNotification
]
if __name__ == '__main__':
main(defaultTest='suite')
| 20.666667 | 90 | 0.669355 |
d06f2e4133f899f7d55993a62f6fac399373c048 | 1,025 | py | Python | sec_certs/config/configuration.py | J08nY/sec-certs | d25a4a7c830c587a45eb8e37d99f8794dec1a5eb | [
"MIT"
] | 2 | 2021-03-24T11:56:15.000Z | 2021-04-12T12:22:16.000Z | sec_certs/config/configuration.py | J08nY/sec-certs | d25a4a7c830c587a45eb8e37d99f8794dec1a5eb | [
"MIT"
] | 73 | 2021-04-12T14:04:04.000Z | 2022-03-31T15:40:26.000Z | sec_certs/config/configuration.py | J08nY/sec-certs | d25a4a7c830c587a45eb8e37d99f8794dec1a5eb | [
"MIT"
] | 3 | 2021-03-26T16:15:49.000Z | 2021-05-10T07:26:23.000Z | import json
from pathlib import Path
from typing import Union
import jsonschema
import yaml
DEFAULT_CONFIG_PATH = Path(__file__).parent / "settings.yaml"
config = Configuration()
config.load(DEFAULT_CONFIG_PATH)
| 27.702703 | 75 | 0.643902 |
d0703322f54aad95ad1c141cfb0733e4dbc48655 | 25 | py | Python | src/masonite/events/__init__.py | cercos/masonite | f7f220efa7fae833683e9f07ce13c3795a87d3b8 | [
"MIT"
] | 1,816 | 2018-02-14T01:59:51.000Z | 2022-03-31T17:09:20.000Z | src/masonite/events/__init__.py | cercos/masonite | f7f220efa7fae833683e9f07ce13c3795a87d3b8 | [
"MIT"
] | 340 | 2018-02-11T00:27:26.000Z | 2022-03-21T12:00:24.000Z | src/masonite/events/__init__.py | cercos/masonite | f7f220efa7fae833683e9f07ce13c3795a87d3b8 | [
"MIT"
] | 144 | 2018-03-18T00:08:16.000Z | 2022-02-26T01:51:58.000Z | from .Event import Event
| 12.5 | 24 | 0.8 |
d0707615a365376fb262ae4ab58d6c156cbaf97a | 4,415 | py | Python | parlai/scripts/split_phrases.py | shigailowa/ParlAI | 5bb359cdacb8f2b92ba482273cdff20f0d147a72 | [
"MIT"
] | null | null | null | parlai/scripts/split_phrases.py | shigailowa/ParlAI | 5bb359cdacb8f2b92ba482273cdff20f0d147a72 | [
"MIT"
] | null | null | null | parlai/scripts/split_phrases.py | shigailowa/ParlAI | 5bb359cdacb8f2b92ba482273cdff20f0d147a72 | [
"MIT"
] | null | null | null | import nltk
from nltk.chunk.regexp import ChunkString, ChunkRule, ChinkRule
from nltk.tree import Tree
from nltk.chunk import RegexpParser
from nltk.corpus import conll2000
from nltk.tag import NgramTagger
#class for Unigram Chunking
#class for Bigram Chunking
#class for Ngram Chunking
#Rule-based chunking
def re... | 29.433333 | 94 | 0.69966 |
d071b10778e993030b61af048f8e39a048b36969 | 3,014 | py | Python | tests/test_class/import_export_test.py | ThomasLandstra/pysave | acc3da93858f541ea4f3ffc6062d9689d28f5ee5 | [
"MIT"
] | 1 | 2022-03-14T04:32:42.000Z | 2022-03-14T04:32:42.000Z | tests/test_class/import_export_test.py | ThomasLandstra/pysave | acc3da93858f541ea4f3ffc6062d9689d28f5ee5 | [
"MIT"
] | 6 | 2021-10-11T07:20:40.000Z | 2022-03-17T01:31:33.000Z | tests/test_class/import_export_test.py | ThomasLandstra/pysave | acc3da93858f541ea4f3ffc6062d9689d28f5ee5 | [
"MIT"
] | null | null | null | # Imports
from os.path import join, isfile
from os import remove, rmdir
from pysav import Save, does_save_exist, does_app_dir_exist, generate_environment_path
from utils.random_data import generate_dict
# Test
def test_answer():
"""Does Save work as expected"""
# Test Importing
# Create file to be importe... | 29.54902 | 86 | 0.595886 |
d0724f179ed3e0352058e826e5ed580723fd7c4d | 1,250 | py | Python | insights/parsers/tests/test_ansible_tower_settings.py | maxamillion/insights-core | aa11e07e68077df97b6c85219911f8382be6e2fa | [
"Apache-2.0"
] | null | null | null | insights/parsers/tests/test_ansible_tower_settings.py | maxamillion/insights-core | aa11e07e68077df97b6c85219911f8382be6e2fa | [
"Apache-2.0"
] | null | null | null | insights/parsers/tests/test_ansible_tower_settings.py | maxamillion/insights-core | aa11e07e68077df97b6c85219911f8382be6e2fa | [
"Apache-2.0"
] | null | null | null | import doctest
import pytest
from insights.parsers import ansible_tower_settings, SkipException
from insights.tests import context_wrap
ANSIBLE_TOWER_CONFIG_CUSTOM = '''
AWX_CLEANUP_PATHS = False
LOGGING['handlers']['tower_warnings']['level'] = 'DEBUG'
'''.strip()
ANSIBLE_TOWER_CONFIG_CUSTOM_INVALID1 = '''
'''.strip... | 32.051282 | 110 | 0.7848 |
d073713261d4accea1d939cebd542842ecae613a | 1,320 | py | Python | app/utils/zones.py | Xerrors/Meco-Server | f2111bab7691c0b567d5c3b3f38b83fee152a689 | [
"MIT"
] | 1 | 2021-07-28T11:24:02.000Z | 2021-07-28T11:24:02.000Z | app/utils/zones.py | Xerrors/Meco-Server | f2111bab7691c0b567d5c3b3f38b83fee152a689 | [
"MIT"
] | null | null | null | app/utils/zones.py | Xerrors/Meco-Server | f2111bab7691c0b567d5c3b3f38b83fee152a689 | [
"MIT"
] | null | null | null | import os
import json
from app.config import DATA_PATH
"""
_id: ID
date: eg "2020-02-06T15:24:59.942Z"
msg: eg ""
status: eg "" a emoji)
"""
if __name__ == '__main__':
DATA_PATH = '../../data'
with open('../../../../Node/data/zoneMsg.json', 'r') as f:
data = json.load(f)
... | 18.082192 | 62 | 0.524242 |
d078c0acdf412550824a96d5fadcbd21aeb88416 | 2,534 | py | Python | fungal_automata/utils.py | ranyishere/fungal_automata_comap2021 | 1ef4f00a3e6f17413a60f6882dbee6f156aadfa0 | [
"MIT"
] | null | null | null | fungal_automata/utils.py | ranyishere/fungal_automata_comap2021 | 1ef4f00a3e6f17413a60f6882dbee6f156aadfa0 | [
"MIT"
] | null | null | null | fungal_automata/utils.py | ranyishere/fungal_automata_comap2021 | 1ef4f00a3e6f17413a60f6882dbee6f156aadfa0 | [
"MIT"
] | null | null | null | import random
import pprint
import matplotlib.pyplot as plt
import numpy as np
from cells import *
pp = pprint.PrettyPrinter(indent=2)
random.seed(5)
def get_image_from_state(cells, time, debug=False):
"""
Generates an image from the cell states
"""
# print("time: ", time)
img = []
for rix,... | 23.247706 | 83 | 0.54341 |
d07c7ec019295c93900e320c5fcec0bc4db8705b | 415 | py | Python | src/server/event_test.py | cnlohr/bridgesim | ff33b63db813eedfc8155c9fecda4c8f1c06ab60 | [
"MIT"
] | 4 | 2015-05-03T07:37:34.000Z | 2018-05-09T22:27:33.000Z | src/server/event_test.py | cnlohr/bridgesim | ff33b63db813eedfc8155c9fecda4c8f1c06ab60 | [
"MIT"
] | 1 | 2016-08-07T16:56:38.000Z | 2016-08-07T16:56:38.000Z | src/server/event_test.py | cnlohr/bridgesim | ff33b63db813eedfc8155c9fecda4c8f1c06ab60 | [
"MIT"
] | null | null | null | #! /usr/bin/python3
import time
from events import *
q = QueueExecutor()
q.addEvent(test1, time.time() + 3, 1, 5, "foo", "bar", "baz")
q.addEvent(test1, time.time() + .5, .3, 20, "foo2", "bar")
print("Main thread asleep at %s" % (time.time(),))
time.sleep(6)
print("Main thread awake, terminating...")
q.stop() | 27.666667 | 78 | 0.621687 |
d07d20e45fea750c32612fcddef24ffc98a05b67 | 1,845 | py | Python | gd/iter_utils.py | nekitdev/gd.py | b9d5e29c09f953f54b9b648fb677e987d9a8e103 | [
"MIT"
] | 58 | 2020-09-30T16:51:22.000Z | 2022-02-13T17:27:48.000Z | gd/iter_utils.py | NeKitDS/gd.py | b9d5e29c09f953f54b9b648fb677e987d9a8e103 | [
"MIT"
] | 30 | 2019-07-29T12:03:41.000Z | 2020-09-15T17:01:37.000Z | gd/iter_utils.py | NeKitDS/gd.py | b9d5e29c09f953f54b9b648fb677e987d9a8e103 | [
"MIT"
] | 20 | 2019-12-06T03:16:57.000Z | 2020-09-16T17:45:27.000Z | from typing import Any, Callable, Dict, Iterable, Mapping, Tuple, TypeVar, Union, cast, overload
__all__ = ("extract_iterable_from_tuple", "is_iterable", "item_to_tuple", "mapping_merge")
KT = TypeVar("KT")
VT = TypeVar("VT")
T = TypeVar("T")
def item_to_tuple(item: Union[T, Iterable[T]]) -> Tuple[T, ...]: # ... | 24.276316 | 96 | 0.635772 |
d07d7eac9f05f51f4abf2075d7c3883791a41eb9 | 937 | py | Python | spacetime/distort_ss.py | uhrwecker/GRDonuts | 3087aeb5c169251bdb711b425dcc3040ff962da7 | [
"MIT"
] | null | null | null | spacetime/distort_ss.py | uhrwecker/GRDonuts | 3087aeb5c169251bdb711b425dcc3040ff962da7 | [
"MIT"
] | 25 | 2020-03-26T11:16:58.000Z | 2020-09-10T18:31:52.000Z | spacetime/distort_ss.py | uhrwecker/GRDonuts | 3087aeb5c169251bdb711b425dcc3040ff962da7 | [
"MIT"
] | null | null | null | import numpy as np
from spacetime.potential import Potential
| 37.48 | 79 | 0.526147 |
d07df814cb6748757669097a641e731236e968f6 | 7,672 | py | Python | scripts/deploy.py | tallywiesenberg/algorand-tellorflex | 5fa673a637338e4dfa15b0cf4937a757890a5e14 | [
"MIT"
] | null | null | null | scripts/deploy.py | tallywiesenberg/algorand-tellorflex | 5fa673a637338e4dfa15b0cf4937a757890a5e14 | [
"MIT"
] | null | null | null | scripts/deploy.py | tallywiesenberg/algorand-tellorflex | 5fa673a637338e4dfa15b0cf4937a757890a5e14 | [
"MIT"
] | null | null | null | from typing import Tuple, List
from algosdk.v2client.algod import AlgodClient
from algosdk.future import transaction
from algosdk.logic import get_application_address
from algosdk import account, encoding
from pyteal import compileTeal, Mode, Keccak256
from tellorflex.methods import report
from utils.account import ... | 37.607843 | 202 | 0.669317 |
d07f63644facb997bb2d4b1393d95a337bd66e35 | 11,118 | py | Python | parse-vocab-list.py | kltm/kanji-textbook-table | e97630b47c4b00b734f0f29794331e7a0fd857d5 | [
"BSD-3-Clause"
] | null | null | null | parse-vocab-list.py | kltm/kanji-textbook-table | e97630b47c4b00b734f0f29794331e7a0fd857d5 | [
"BSD-3-Clause"
] | null | null | null | parse-vocab-list.py | kltm/kanji-textbook-table | e97630b47c4b00b734f0f29794331e7a0fd857d5 | [
"BSD-3-Clause"
] | null | null | null | ####
#### Convert a TSV into a fully parsed JSON list blob that could be
#### used by a mustache (or other logicless) template.
####
#### Example usage to analyze the usual suspects:
#### python3 parse.py --help
####
#### Get report of current problems:
#### python3 parse-vocab-list.py --tsv ~/Downloads/UCSC_\ -\ \(... | 48.977974 | 394 | 0.477154 |
d080168f53e03ca48aa7bb5ade9767788f28ed6f | 2,716 | py | Python | expressy/importer.py | timedata-org/expressy | 0aaeffa430c1ccfe649ee2bcdb69e7feb48ada95 | [
"MIT"
] | 1 | 2017-01-22T18:53:52.000Z | 2017-01-22T18:53:52.000Z | expressy/importer.py | timedata-org/expressy | 0aaeffa430c1ccfe649ee2bcdb69e7feb48ada95 | [
"MIT"
] | 10 | 2017-01-23T15:41:15.000Z | 2017-07-11T11:55:46.000Z | expressy/importer.py | timedata-org/expressy | 0aaeffa430c1ccfe649ee2bcdb69e7feb48ada95 | [
"MIT"
] | null | null | null | import builtins, importlib
importer = Importer()
| 33.121951 | 79 | 0.621134 |
d0805f0b04c5487557b620b5f784fdf929044314 | 13,190 | py | Python | maintenance_utils.py | lawrluor/matchstats | 0c8cd08403d5fa2772b3d5d9391a804866d15dce | [
"BSD-3-Clause"
] | 6 | 2015-06-22T16:51:03.000Z | 2017-12-05T22:18:39.000Z | maintenance_utils.py | lawrluor/matchstats | 0c8cd08403d5fa2772b3d5d9391a804866d15dce | [
"BSD-3-Clause"
] | 1 | 2021-06-01T21:44:48.000Z | 2021-06-01T21:44:48.000Z | maintenance_utils.py | lawrluor/matchstats | 0c8cd08403d5fa2772b3d5d9391a804866d15dce | [
"BSD-3-Clause"
] | null | null | null | from app import app, db
from app.models import *
import datetime
import sys
sys.path.append('./sanitize')
from sanitize_utils import *
from trueskill import setup, Rating, quality_1vs1, rate_1vs1
from trueskill_functions import MU, SIGMA, CONS_MU, BETA, TAU, DRAW_PROBABILITY, populate_trueskills
from misc_utils impor... | 37.050562 | 208 | 0.731463 |
d08121c2bb321f45165a5c878bb41be255cfeaf3 | 406,902 | py | Python | tools/tests/bourne.py | CoprHD/sds-controller | a575ec96928b1e9258313efe92c930bfe9d6753a | [
"Apache-2.0"
] | 91 | 2015-06-06T01:40:34.000Z | 2020-11-24T07:26:40.000Z | tools/tests/bourne.py | CoprHD/sds-controller | a575ec96928b1e9258313efe92c930bfe9d6753a | [
"Apache-2.0"
] | 3 | 2015-07-14T18:47:53.000Z | 2015-07-14T18:50:16.000Z | tools/tests/bourne.py | CoprHD/sds-controller | a575ec96928b1e9258313efe92c930bfe9d6753a | [
"Apache-2.0"
] | 71 | 2015-06-05T21:35:31.000Z | 2021-11-07T16:32:46.000Z | # coding=utf-8
#
# Copyright (c) 2015 EMC Corporation
# All Rights Reserved
#
import httplib
import cjson
import argparse
import sys
import os
import time
import json
import uuid
import base64
import urllib
import requests
import email
from email.Utils import formatdate
import cookielib
import telnetlib
import xml.etr... | 41.213613 | 375 | 0.608569 |
d08144c8fccf523fe00afd797e29a4fc88443666 | 851 | py | Python | configuration.py | stoberblog/sunspec-modbus | 2ce7cc6e92cb480cce4e488c8ffd716ec053ec01 | [
"MIT"
] | 22 | 2018-03-01T16:13:48.000Z | 2022-02-27T07:59:24.000Z | configuration.py | msgis/sunspec-modbus | 2ce7cc6e92cb480cce4e488c8ffd716ec053ec01 | [
"MIT"
] | null | null | null | configuration.py | msgis/sunspec-modbus | 2ce7cc6e92cb480cce4e488c8ffd716ec053ec01 | [
"MIT"
] | 7 | 2019-03-02T17:10:29.000Z | 2021-06-19T00:26:05.000Z | # -*- coding: utf-8 -*-
"""
@author: stoberblog
@detail: This is a configuration file for the Solar Modbus project.
"""
# MODBUS DETAILS
INVERTER_IP = "192.168.1.29"
MODBUS_PORT = 7502
METER_ADDR = 240
MODBUS_TIMEOUT = 30 #seconds to wait before failure
# METER INSTALLED
METER_INSTALLED =... | 26.59375 | 129 | 0.673325 |
d0814ab2d80cbf44bcd4c19447312d5ef89e098c | 2,533 | py | Python | tests/test_plain.py | Nafi-Amaan-Hossain/willpyre | a506d32765088c8e59c46672946891e61dce87f2 | [
"BSD-3-Clause"
] | 1 | 2021-08-16T08:18:22.000Z | 2021-08-16T08:18:22.000Z | tests/test_plain.py | Nafi-Amaan-Hossain/willpyre | a506d32765088c8e59c46672946891e61dce87f2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_plain.py | Nafi-Amaan-Hossain/willpyre | a506d32765088c8e59c46672946891e61dce87f2 | [
"BSD-3-Clause"
] | null | null | null | from async_asgi_testclient import TestClient
from myapp import main
import pytest
| 25.585859 | 67 | 0.660087 |
d0819d8d58bd2ac25c22fc55e6bd0a929bf9571f | 122 | py | Python | rangefinder/bosch/requests/constants/__init__.py | tothcs1105/BOSCH-GLM-rangefinder | 419179bd63be97060d91cb87b075da47610dfbfb | [
"MIT"
] | 1 | 2020-08-03T15:31:13.000Z | 2020-08-03T15:31:13.000Z | rangefinder/bosch/requests/constants/__init__.py | tothcs1105/BOSCH-GLM-rangefinder | 419179bd63be97060d91cb87b075da47610dfbfb | [
"MIT"
] | null | null | null | rangefinder/bosch/requests/constants/__init__.py | tothcs1105/BOSCH-GLM-rangefinder | 419179bd63be97060d91cb87b075da47610dfbfb | [
"MIT"
] | null | null | null | from .backlight_mode import BacklightMode
from .angle_unit import AngleUnit
from .measurement_unit import MeasurementUnit
| 30.5 | 45 | 0.877049 |
d084098c117233a70fe62aa538d6aad7c2570d51 | 577 | py | Python | operations/plus.py | Ootmann/einmaleins | aeb986cf40b7638d14ad69b68fc12b1445cf3c9a | [
"MIT"
] | null | null | null | operations/plus.py | Ootmann/einmaleins | aeb986cf40b7638d14ad69b68fc12b1445cf3c9a | [
"MIT"
] | null | null | null | operations/plus.py | Ootmann/einmaleins | aeb986cf40b7638d14ad69b68fc12b1445cf3c9a | [
"MIT"
] | null | null | null | import random
from operations import abstract_operation
| 22.192308 | 60 | 0.573657 |