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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
314ef4609156d200ebd076441fcc53dc03da264d | 26,386 | py | Python | Code/Main.py | Luc-Wshr/DHBW-Python-WeatherApp | b6ba6daabfb8114b916bcf1499862da80b392f43 | [
"MIT"
] | null | null | null | Code/Main.py | Luc-Wshr/DHBW-Python-WeatherApp | b6ba6daabfb8114b916bcf1499862da80b392f43 | [
"MIT"
] | null | null | null | Code/Main.py | Luc-Wshr/DHBW-Python-WeatherApp | b6ba6daabfb8114b916bcf1499862da80b392f43 | [
"MIT"
] | 1 | 2021-04-30T09:32:48.000Z | 2021-04-30T09:32:48.000Z | # ----------------------------------------------------------------------------------------Library imports
from tkinter import *
from PIL import ImageTk, Image
from datetime import date, timedelta, datetime
from requests import api
from tkinter import messagebox
from io import BytesIO
from urllib.request import u... | 42.904065 | 230 | 0.573562 |
7303e49148bccd2aaa05216b19ebd41bc863e044 | 5,878 | py | Python | toolsparty-master/information-gathering/filter.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | toolsparty-master/information-gathering/filter.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | toolsparty-master/information-gathering/filter.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #!/usr/bin/env python
# coding:utf-8
# Build by LandGrey 2017-11-04
import os
import re
import sys
import itertools
from netaddr import IPNetwork
def unique(seq, idfun=None):
if idfun is None:
def idfun(x): return x
seen = {}
results = []
for item in seq:
marker = idfun(item)
... | 40.537931 | 134 | 0.517863 |
5edc22f09c9bb0acb651b2130b2603c64d1f9565 | 3,550 | py | Python | addition_module/DSDG/DUM/make_dataset/crop_dataset.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 1 | 2022-02-07T02:03:37.000Z | 2022-02-07T02:03:37.000Z | addition_module/DSDG/DUM/make_dataset/crop_dataset.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | null | null | null | addition_module/DSDG/DUM/make_dataset/crop_dataset.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | null | null | null | import math
import os
import cv2
import numpy as np
root_dir = '/export2/home/wht/oulu_images_crop/'
img_root = '/export2/home/wht/oulu_images/train_img_flod/'
map_root = '/export2/home/wht/oulu_images/train_depth_flod/'
bbox_root = '/export2/home/wht/oulu_images/train_bbox_flod/'
def crop_face_from_s... | 30.34188 | 103 | 0.588169 |
6f449f97bb6734162e099524b59368ab3fd0ea4c | 881 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v4_0/fix_employee_user_id.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v4_0/fix_employee_user_id.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v4_0/fix_employee_user_id.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.utils import get_fullname
def execute():
for user_id in frappe.db.sql_list("""select distinct user_id from `tabEmployee`
... | 36.708333 | 98 | 0.710556 |
6f7548730449893029d082a697b4df4cebcd13bd | 1,328 | py | Python | IdeaProjects/MachineLearning/ScipyKmeans.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | IdeaProjects/MachineLearning/ScipyKmeans.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | IdeaProjects/MachineLearning/ScipyKmeans.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | from sklearn.cluster import KMeans
from sklearn.externals import joblib
import numpy
import time
import matplotlib.pyplot as plt
if __name__ == '__main__':
## step 1: 加载数据
print ("step 1: load data...")
dataSet = []
fileIn = open('./data.txt')
for line in fileIn.readlines():
lineArr = line.... | 35.891892 | 96 | 0.568524 |
824e9e31f20468ca7e369d7d9424b67014e9f819 | 9,775 | py | Python | products/migrations/0001_initial.py | silver-whale-enterprises-llc/amzproduzer | 25e63f64b0ef09241475c72af9a710dcb7d9e926 | [
"Apache-2.0"
] | 1 | 2019-07-22T14:03:11.000Z | 2019-07-22T14:03:11.000Z | products/migrations/0001_initial.py | silver-whale-enterprises-llc/amzproduzer | 25e63f64b0ef09241475c72af9a710dcb7d9e926 | [
"Apache-2.0"
] | null | null | null | products/migrations/0001_initial.py | silver-whale-enterprises-llc/amzproduzer | 25e63f64b0ef09241475c72af9a710dcb7d9e926 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-16 14:40
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='AmazonCategory',
fields=[
... | 61.867089 | 217 | 0.601841 |
8156872c3c7505d6ae4c391b1ec4ba132353b317 | 325 | py | Python | packages/watchmen-model/src/watchmen_model/system/key_store.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/system/key_store.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/system/key_store.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from datetime import datetime
from typing import Any, Dict
from pydantic import BaseModel
from watchmen_model.common import Storable, TenantId, UserId
class KeyStore(Storable, BaseModel):
tenantId: TenantId = None
keyType: str = None
params: Dict[str, Any] = None
createdAt: datetime = None
createdBy: UserId = ... | 21.666667 | 60 | 0.775385 |
81c7a6c3c416caed6e6acc0f2ede1d01cf8b95be | 718 | py | Python | WiSe-2122/Wiederholung/Vorlesung/login-example.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | WiSe-2122/Wiederholung/Vorlesung/login-example.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | WiSe-2122/Wiederholung/Vorlesung/login-example.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Login-Maske
# Variablendefinition
passwort = "Aligator123"
richtiges_passwort = False
versuche = 3
# Hauptprogramm
while not richtiges_passwort and versuche >= 0:
nutzer_eingabe = input("Bitte geben Sie das Passwort ein (achten Sie auf Groß- und Kleinschreibung): ")
if nutzer_eingabe == passwort:
pri... | 37.789474 | 107 | 0.715877 |
f227ed5dc51b2012044b4e1d4a6143f9163a8faa | 707 | py | Python | algorithms/sorting/countingsort1.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | algorithms/sorting/countingsort1.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | algorithms/sorting/countingsort1.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | import sys
def print_list(ar):
print(' '.join(map(str, ar)))
def insertion_sort(ar):
if len(ar) == 1:
print_list(ar)
return (ar)
else:
x = ar[-1]
for i in reversed(range(len(ar) - 1)):
if x < ar[i]:
ar[i + 1] = ar[i]
print_list... | 19.108108 | 53 | 0.413013 |
d2484a6288c83657b04426cacd42d76cd5057cb0 | 2,560 | py | Python | archive/assets/fi/Archive/scripts/replace_menu.py | brnnnfx/openoffice-org | 8b1023c59fd9c7a58d108bb0b01dd1f8884c9163 | [
"Apache-2.0"
] | 5 | 2019-10-14T23:00:48.000Z | 2021-11-06T22:21:06.000Z | archive/assets/fi/Archive/scripts/replace_menu.py | brnnnfx/openoffice-org | 8b1023c59fd9c7a58d108bb0b01dd1f8884c9163 | [
"Apache-2.0"
] | 31 | 2020-11-14T09:27:16.000Z | 2022-03-08T17:09:15.000Z | archive/assets/fi/Archive/scripts/replace_menu.py | brnnnfx/openoffice-org | 8b1023c59fd9c7a58d108bb0b01dd1f8884c9163 | [
"Apache-2.0"
] | 15 | 2020-11-10T17:04:25.000Z | 2022-01-31T12:12:48.000Z | #!/usr/bin/python
import sys,os,string,re
################################################################################
# Definitions
################################################################################
starttag = "<!-- MENU-START -->"
endtag = "<!-- MENU-END -->"
###################################... | 28.764045 | 86 | 0.410938 |
d2723078e6218a062e5b17a77641d7724455a032 | 4,626 | py | Python | Code/chap6.py | CPEGM/Swinnen-2012 | ce6a2621cc66ec7818abe4e4cb2b6cff1d6e151b | [
"CC0-1.0"
] | null | null | null | Code/chap6.py | CPEGM/Swinnen-2012 | ce6a2621cc66ec7818abe4e4cb2b6cff1d6e151b | [
"CC0-1.0"
] | null | null | null | Code/chap6.py | CPEGM/Swinnen-2012 | ce6a2621cc66ec7818abe4e4cb2b6cff1d6e151b | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Sep 29 10:15:07 2018
@author: CPEGM
"""
from math import sqrt, pi
# Exercice 6.1
# Converti une vitesse en milles / heures en km/h et m/s
vitesse = 10
conv = vitesse * 1609 / 3600
print("Vitesse en m/s: ", conv)
print("Vitesse en km/h: ", conv*3.6)
# Exercice 6.2
# Calcul l... | 23.014925 | 78 | 0.607436 |
73c0ca46bae477837411a010459a4ed08549d2ee | 1,222 | py | Python | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/utils/build_utils.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 883 | 2020-11-12T11:46:46.000Z | 2022-03-31T18:27:10.000Z | paddlevideo/utils/build_utils.py | arkofgalaxy/PaddleVideo | 64251233c83b7eb681061b454da198a9082309a6 | [
"Apache-2.0"
] | 233 | 2020-12-09T06:04:59.000Z | 2022-03-28T08:16:51.000Z | paddlevideo/utils/build_utils.py | arkofgalaxy/PaddleVideo | 64251233c83b7eb681061b454da198a9082309a6 | [
"Apache-2.0"
] | 225 | 2020-11-13T06:21:55.000Z | 2022-03-31T05:36:11.000Z | # Copyright (c) 2020 PaddlePaddle Authors. 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... | 33.944444 | 74 | 0.687398 |
49d40c7e8105e1dc3c6a53b9a5efdfc964321770 | 974 | py | Python | session4/04_events.py | NeumannSven/pyshb_programmierkurs | 518da3766dff36e938b36c49d410edb52c0cb32c | [
"MIT"
] | 2 | 2019-10-26T12:47:05.000Z | 2020-07-07T16:36:19.000Z | session4/04_events.py | NeumannSven/pyshb_programmierkurs | 518da3766dff36e938b36c49d410edb52c0cb32c | [
"MIT"
] | null | null | null | session4/04_events.py | NeumannSven/pyshb_programmierkurs | 518da3766dff36e938b36c49d410edb52c0cb32c | [
"MIT"
] | 4 | 2020-02-28T13:43:05.000Z | 2020-12-02T10:39:46.000Z | # Modul importieren
import tkinter as tk
# Hauptfenster erzeugen
root = tk.Tk()
root.geometry('500x500')
# Beispiel Widget erzeugen
zeichnung1 = tk.Canvas(root, width=200, height=100)
zeichnung1.grid(row=0, column=0, sticky='WE')
zeichnung1.create_line(0, 0, 200, 100)
zeichnung1.create_rectangle(50, 25, 150, 75, fill... | 27.828571 | 77 | 0.753593 |
4d381231df4723636c7886785057912e05b1251a | 7,203 | py | Python | Packs/Base/Scripts/FindSimilarIncidentsByText/FindSimilarIncidentsByText.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Base/Scripts/FindSimilarIncidentsByText/FindSimilarIncidentsByText.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Base/Scripts/FindSimilarIncidentsByText/FindSimilarIncidentsByText.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | # type: ignore
import dateutil.parser
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
from six import string_types
from CommonServerPython import *
INCIDENT_TEXT_FIELD = 'incident_text_for_tfidf'
def parse_datetime(datetime_str):
return dateutil.pars... | 39.79558 | 119 | 0.652784 |
1500ccd69a5292d544d5256bbf6892bde8e3d194 | 1,144 | py | Python | zencad/examples/Integration/skimage-mechanicus/cube.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/examples/Integration/skimage-mechanicus/cube.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/examples/Integration/skimage-mechanicus/cube.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import numpy as np
import sys
from skimage import measure, io
from itertools import chain
import time
import math
import zencad
from zencad import *
import mech
mechanicus, base, ignore = mech.build()
cube = box(1000, center=True)
mech = [disp(mechanicus, color=(1, 1, 1)) for i in range(0,... | 26.604651 | 66 | 0.657343 |
12e261b344c6124dde28585e83c4f9e935eb0825 | 601 | py | Python | setup.py | MBALearnsToCode/ProbGraph | a61839669ca84b0bb0103134682dfdf43c6c3f1b | [
"MIT"
] | null | null | null | setup.py | MBALearnsToCode/ProbGraph | a61839669ca84b0bb0103134682dfdf43c6c3f1b | [
"MIT"
] | null | null | null | setup.py | MBALearnsToCode/ProbGraph | a61839669ca84b0bb0103134682dfdf43c6c3f1b | [
"MIT"
] | null | null | null | from setuptools import setup
setup(name='ProbabPyReason',
version='0.1.3',
packages=['ProbabPyReason'],
url='https://github.com/MBALearnsToCode/ProbabPyReason',
author='Vinh Luong (a.k.a. MBALearnsToCode)',
author_email='MBALearnsToCode@UChicago.edu',
description='Probabilistic Rea... | 37.5625 | 81 | 0.69218 |
42093bae2393283e01f30b8ede5a951ccddae005 | 204 | py | Python | robolib/util/random.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 2 | 2017-11-30T21:12:11.000Z | 2017-12-01T07:52:43.000Z | robolib/util/random.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 14 | 2017-11-14T18:12:53.000Z | 2018-06-03T16:07:57.000Z | robolib/util/random.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 3 | 2018-02-05T10:40:03.000Z | 2018-02-09T09:29:19.000Z | import numpy as np
def random_different_numbers(max):
ind1 = 0
ind2 = 0
while ind1 == ind2:
ind1 = np.random.randint(max)
ind2 = np.random.randint(max)
return ind1, ind2
| 18.545455 | 37 | 0.617647 |
c4500260c8ca934843a3372a462566e2d60d902a | 709 | py | Python | finbyz_dashboard/finbyz_dashboard/custom_number_card/items_to_deliver.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | 1 | 2021-11-19T05:27:11.000Z | 2021-11-19T05:27:11.000Z | finbyz_dashboard/finbyz_dashboard/custom_number_card/items_to_deliver.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | null | null | null | finbyz_dashboard/finbyz_dashboard/custom_number_card/items_to_deliver.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | 2 | 2021-08-21T10:41:38.000Z | 2021-11-19T05:27:13.000Z | from __future__ import unicode_literals
import frappe, json
from frappe import _
@frappe.whitelist()
def number_card_custom(filters=None):
filters = frappe.parse_json(filters)
where_condition = ''
if filters.get('company'):
where_condition += " and so.company = '{}'".format(filters.get('company'))
sales_query =... | 27.269231 | 76 | 0.723554 |
6707dfc783befac2999d33d36372211a4e0b90ac | 5,597 | py | Python | access_control_test.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | access_control_test.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | access_control_test.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: UTF-8 -*-
# Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless r... | 29.457895 | 95 | 0.611935 |
67f665aef99de73ef20b81132f4cbe9e82705f67 | 256 | py | Python | aoc2020/utils.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/utils.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/utils.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | from functools import reduce
def coalesce(a, b):
return b if a is None else a
def math_product(l):
return reduce(lambda a, b: a * b, l, 1)
def count_all(a, b):
"""Count all occurrence of a in b"""
return len([1 for w in b if w == a])
| 17.066667 | 43 | 0.617188 |
2277484bbf8b56b04f875e0ed1bcb92053098952 | 3,484 | py | Python | analyzer/sentimentanalysis.py | ringvorlesung2019mgm/twitter-bingo | f0a1f40024e335977b395049618dafda123e7a8f | [
"Apache-2.0"
] | 2 | 2019-01-15T12:22:43.000Z | 2021-09-08T15:58:49.000Z | analyzer/sentimentanalysis.py | ringvorlesung2019mgm/twitter-bingo | f0a1f40024e335977b395049618dafda123e7a8f | [
"Apache-2.0"
] | 47 | 2018-11-08T14:06:13.000Z | 2019-01-05T17:40:26.000Z | analyzer/sentimentanalysis.py | ringvorlesung2019mgm/twitter-bingo | f0a1f40024e335977b395049618dafda123e7a8f | [
"Apache-2.0"
] | null | null | null | import re
from textblob import TextBlob
from textblob_de import TextBlobDE
from langdetect import detect
from langdetect.lang_detect_exception import LangDetectException
from emoji import analyze_emoji_sentimens
def clean_tweet(tweet):
'''
Utility function to clean tweet text by removing links, special charac... | 35.55102 | 151 | 0.656142 |
3f1bc0138378c43d8017c03ecae2177a182653f1 | 455 | py | Python | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Archive/Archive.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 282 | 2016-06-16T14:41:44.000Z | 2022-03-02T03:43:02.000Z | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Archive/Archive.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 146 | 2016-06-16T08:55:45.000Z | 2020-09-08T10:37:32.000Z | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Archive/Archive.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 94 | 2016-06-16T10:49:07.000Z | 2022-03-28T09:14:03.000Z | from mongodb_consistent_backup.Archive.Tar import Tar # NOQA
from mongodb_consistent_backup.Archive.Zbackup import Zbackup # NOQA
from mongodb_consistent_backup.Pipeline import Stage
class Archive(Stage):
def __init__(self, manager, config, timer, base_dir, backup_dir):
super(Archive, self).__init__(sel... | 41.363636 | 108 | 0.764835 |
58bb977ad67737e14362bfa54da901083414e8e3 | 800 | py | Python | data_tests/block_fluidsim.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | data_tests/block_fluidsim.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | data_tests/block_fluidsim.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | from transonic import Transonic
ts = Transonic()
class MyClass:
def _time_step_RK2(self):
dt = self.deltat
diss, diss2 = self.exact_linear_coefs.get_updated_coefs()
compute_tendencies = self.sim.tendencies_nonlin
state_spect = self.sim.state.state_spect
tendencies_n = co... | 26.666667 | 78 | 0.56375 |
1886c1a8823e00f4533385dfd4818924103bc173 | 2,745 | py | Python | Python/Buch_ATBS/Teil_2/Kapitel_08_Dateien_lesen_und_schreiben/08_kapitel_8_repetitionsfragen.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_2/Kapitel_08_Dateien_lesen_und_schreiben/08_kapitel_8_repetitionsfragen.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_2/Kapitel_08_Dateien_lesen_und_schreiben/08_kapitel_8_repetitionsfragen.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # 21_kapitel_8_repetitionsfragen.py
# Hier die Antworten zu den Wiederholeungsfragen aus Kapitel 8
import re
maxl, dv= 50, 13
def output():
global string
print(''.center(maxl, '█'))
delta=len(string) % maxl
string+=' '*(maxl-delta)
suchmuster=re.compile(r'.{'+str(maxl-dv) + r',' + str(maxl) +'}[,|\.|\n| ]', re.DOT... | 40.367647 | 241 | 0.751548 |
830df2c321488399aa40b42bdfb058a1dca47ffe | 265 | py | Python | Online-Judges/DimikOJ/Python/52-search-the-search-2.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/52-search-the-search-2.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/52-search-the-search-2.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | for _ in range(int(input())):
main_str, sub_str = input().split( )
sub_len = len(sub_str)
count = 0
for i in range(len(main_str)):
lest_len = (i + sub_len)
if main_str[i:lest_len] == sub_str:
count += 1
print(count)
| 26.5 | 43 | 0.554717 |
36969dad236eb5a161a8fe82b1aaebd2f111752f | 5,884 | py | Python | showcase2/test.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | showcase2/test.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | 2 | 2021-03-25T22:00:07.000Z | 2022-01-20T15:51:48.000Z | showcase2/test.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null |
import pprint
# Single line comments start with a number symbol.
"""
Multiline strings can be written
using three "s, and are often used
as comments
"""
"Hello " + "world!"
print("Hello" * 3)
# A string can be treated like a list of characters
print("This is a string"[0]) # => 'T'
# A newer way to ... | 24.722689 | 83 | 0.623046 |
a1e13211cd209c3b0f9cc8f3f7b30aa093591c3d | 226 | py | Python | comp/microsoft/011_day_of_week.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2017-05-18T06:11:02.000Z | 2017-05-18T06:11:02.000Z | comp/microsoft/011_day_of_week.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | comp/microsoft/011_day_of_week.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
def day_of_week(self, s, k):
week = ["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"]
mp = {}
for i, d in enumerate(week):
mp[d] = i
return week[(mp[s] + k) % 7]
| 28.25 | 64 | 0.438053 |
6297708f25cba5e782551c9a64fdb794e7b057c7 | 1,575 | py | Python | modelindex/models/Collection.py | datumbox/model-index | a39af5f8aaa2a90b8fc7180744a855282360067a | [
"MIT"
] | 12 | 2021-02-26T08:19:00.000Z | 2022-01-26T14:00:16.000Z | modelindex/models/Collection.py | datumbox/model-index | a39af5f8aaa2a90b8fc7180744a855282360067a | [
"MIT"
] | null | null | null | modelindex/models/Collection.py | datumbox/model-index | a39af5f8aaa2a90b8fc7180744a855282360067a | [
"MIT"
] | 3 | 2021-03-19T13:51:56.000Z | 2021-08-25T05:25:52.000Z | from modelindex.models.Model import Model
from modelindex.utils import full_filepath, load_any_file, lowercase_keys
class Collection(Model):
"""A collection of models with common characteristics."""
COMMON_FIELDS = [
"Name",
"Metadata",
"Results",
"Paper",
"Code",
... | 34.23913 | 96 | 0.589841 |
a7e0b02ffbee9478d2ca4e66019e2b1179f4e4e5 | 3,193 | py | Python | src/kandidaturen/models.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 1 | 2021-12-20T20:15:26.000Z | 2021-12-20T20:15:26.000Z | src/kandidaturen/models.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | null | null | null | src/kandidaturen/models.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | null | null | null | from django.db import models
from django.db.models import Q
from simple_history.models import HistoricalRecords
from aemter.models import Funktion
class Kandidatur(models.Model):
"""
Datenbankmodell Kandidatur
Felder:
* name: Nachname der Kandidatur. Darf nicht null sein.
* vorname: Vorname der K... | 34.333333 | 122 | 0.697463 |
3d9e19d0af55e5ff3f8b92f0a7889a039963e2ad | 3,117 | py | Python | torba/tests/client_tests/unit/test_utils.py | mittalkartik2000/lbry-sdk | a07b17ec0c9c5d0a88bc730caf6ab955e0971b38 | [
"MIT"
] | 4,076 | 2018-06-01T05:54:24.000Z | 2022-03-07T21:05:52.000Z | torba/tests/client_tests/unit/test_utils.py | mittalkartik2000/lbry-sdk | a07b17ec0c9c5d0a88bc730caf6ab955e0971b38 | [
"MIT"
] | 80 | 2018-06-14T01:02:03.000Z | 2019-06-19T10:45:39.000Z | torba/tests/client_tests/unit/test_utils.py | braveheart12/lbry-sdk | dc709b468f9dce60d206161785def5c7ace2b763 | [
"MIT"
] | 20 | 2018-06-27T21:52:22.000Z | 2022-03-08T11:25:23.000Z | import unittest
from torba.client.util import ArithUint256
from torba.client.util import coins_to_satoshis as c2s, satoshis_to_coins as s2c
class TestCoinValueParsing(unittest.TestCase):
def test_good_output(self):
self.assertEqual(s2c(1), "0.00000001")
self.assertEqual(s2c(10**7), "0.1")
... | 32.46875 | 90 | 0.63266 |
b118a21a59e7853404937b4421bc99d8cc3eba72 | 772 | py | Python | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_06_Funktionen/01_map_function.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_06_Funktionen/01_map_function.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_06_Funktionen/01_map_function.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
###
# File: 01_map_function.py
# Project: Kapitel_06_Funktionen
# Created Date: Sunday 24.02.2019, 11:14
# Author: Apop85
# -----
# Last Modified: Sunday 24.02.2019, 11:20
# -----
# Copyright (c) 2019 Apop85
# This software is published under the MIT license.
# Check http:/... | 35.090909 | 87 | 0.696891 |
7701edd987609078aabd72f11f11fa48bc3eebfb | 8,497 | py | Python | oldp/apps/lib/legal_md/extensions/line_numbers.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | 3 | 2020-06-27T08:19:35.000Z | 2020-12-27T17:46:02.000Z | oldp/apps/lib/legal_md/extensions/line_numbers.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | oldp/apps/lib/legal_md/extensions/line_numbers.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | import re
from bs4 import BeautifulSoup
from markdown import Extension
from markdown.postprocessors import Postprocessor
from markdown.preprocessors import Preprocessor
TABLE_CLASS = 'table table-lines'
TR_CLASS = 'line'
TD_LINE_NUMBER_CLASS = 'line-number'
TD_LINE_CONTENT_CLASS = 'line-content'
PLACEHOLDER_BEGIN = ... | 35.11157 | 117 | 0.529599 |
029221c566d886aea4ff5b618a7439ef6016a6bd | 436 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/doc_fragments/oracle_display_name_option.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/doc_fragments/oracle_display_name_option.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | 9 | 2017-06-25T03:31:52.000Z | 2021-05-17T23:43:12.000Z | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/doc_fragments/oracle_display_name_option.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | # Copyright (c) 2018, Oracle and/or its affiliates.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
class ModuleDocFragment(object):
DOCUMENTATION = """
options:
display_name:
description: Use I(display_name) along with the other options to retu... | 33.538462 | 119 | 0.642202 |
a2e7f4cc67e216aa722fd219b88605e125115f4e | 1,023 | py | Python | visitor_counter/counter/test.py | jcromerohdz/FlaskDev | 29539259cba3a0e18c205fb439ee916fb12e5318 | [
"MIT"
] | null | null | null | visitor_counter/counter/test.py | jcromerohdz/FlaskDev | 29539259cba3a0e18c205fb439ee916fb12e5318 | [
"MIT"
] | null | null | null | visitor_counter/counter/test.py | jcromerohdz/FlaskDev | 29539259cba3a0e18c205fb439ee916fb12e5318 | [
"MIT"
] | null | null | null | import os
import unittest
import pathlib
from dotenv import load_dotenv
env_dir = pathlib.Path(__file__).parents[1]
load_dotenv(os.path.join(env_dir, '.flaskenv'))
from counter.models import Counter
from application import db
from application import create_app as create_app_base
from utils.test_db import TestDB
clas... | 27.648649 | 53 | 0.662757 |
a7615bd3bf2e0508ceba10085234d5c6cc3a7166 | 2,046 | py | Python | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_10_Definition_eigener_Klassen/03_klassenbeispiel_geld_private_attribute.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_10_Definition_eigener_Klassen/03_klassenbeispiel_geld_private_attribute.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_10_Definition_eigener_Klassen/03_klassenbeispiel_geld_private_attribute.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
###
# File: 03_klassenbeispiel_geld_private_attribute.py
# Project: Kapitel_10_Definition_eigener_Klassen
# Created Date: Monday 11.03.2019, 15:30
# Author: Apop85
# -----
# Last Modified: Monday 11.03.2019, 15:59
# -----
# Copyright (c) 2019 Apop85
# This software is publi... | 31.96875 | 86 | 0.671065 |
a77e6010f1c2a5e3953f0b69b0c90759b94a8ad5 | 1,607 | py | Python | packages/watchmen-data-kernel/src/watchmen_data_kernel/encryption/last_masker.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/encryption/last_masker.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/encryption/last_masker.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Any, Union
from watchmen_data_kernel.common import DataKernelException
from watchmen_model.admin import FactorEncryptMethod
from .encryptor import Encryptor
class LastMasker(Encryptor):
def __init__(self, digits: int):
self.digits = digits
if digits == 3:
self.method = FactorEncryptMethod.... | 28.192982 | 98 | 0.701929 |
ac30b7e356b880a69689309a6e652df9db44bb3e | 2,958 | py | Python | test/demonst_2_tspdb.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | test/demonst_2_tspdb.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | 3 | 2020-03-24T18:18:21.000Z | 2021-08-23T20:37:09.000Z | test/demonst_2_tspdb.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | #############################################################
#
# TSPDB demonstration
#
#############################################################
import sys, os
sys.path.append("../..")
sys.path.append("..")
sys.path.append(os.getcwd())
import numpy as np
import pandas as pd
from datetime import datetime
from matp... | 25.947368 | 70 | 0.582488 |
ac6f6d9ca74784809146f94c388171eb4a4f9e1e | 612 | py | Python | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/46_47_ 48_49_50_51_funcoes_3/funcoes_p5.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/46_47_ 48_49_50_51_funcoes_3/funcoes_p5.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/46_47_ 48_49_50_51_funcoes_3/funcoes_p5.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | """
Funções (def) em python - *args **kwargs
"""
"""
def func(a1, a2, a3, a4, a5, nome=None, a6=None): # todo: depois de colocar o nome=None precisa nomear todas variáveis
print(a1, a2, a3, a4, a5, nome, a6)
return nome, a6
var = func(1, 2, 3, 4, 5, nome='Pedro', a6='5')
print(var[0], var[1])
"""
def func... | 23.538462 | 129 | 0.607843 |
3ba54d5d537fb54c4e27365979f7fb3bac721711 | 789 | py | Python | source/data/batch/writeToDatabase.py | aaarl/Spotify-Auswertung-Big-Data-Plattform | 47684db8eb3a8764568c1365dd02a8c2b3975dba | [
"Apache-2.0"
] | 1 | 2021-12-29T20:06:54.000Z | 2021-12-29T20:06:54.000Z | source/data/batch/writeToDatabase.py | aaarl/Spotify-Auswertung-Big-Data-Plattform | 47684db8eb3a8764568c1365dd02a8c2b3975dba | [
"Apache-2.0"
] | null | null | null | source/data/batch/writeToDatabase.py | aaarl/Spotify-Auswertung-Big-Data-Plattform | 47684db8eb3a8764568c1365dd02a8c2b3975dba | [
"Apache-2.0"
] | null | null | null | from pyspark import SparkContext, SQLContext
from pyspark.sql import functions as F
spark = SparkContext("local[*]", "SQL_Example")
sc = SQLContext(spark)
df = sc.read.load("hdfs://my-hadoop-cluster-hadoop-hdfs-nn:9000/data/dataset.csv",
format="csv",
sep=",",
inf... | 30.346154 | 82 | 0.607098 |
ce482595b316c3376f815aa83e3dde856f96671f | 3,077 | py | Python | Packs/Base/Scripts/SanePdfReport/SanePdfReport_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Base/Scripts/SanePdfReport/SanePdfReport_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Base/Scripts/SanePdfReport/SanePdfReport_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from SanePdfReport import *
import subprocess
import os
import http.client
def test_find_zombie_processes(mocker):
ps_output = ''' PID PPID S CMD
1 0 S python /tmp/pyrunner/_script_docker_python_loop.py
39 1 Z [soffice.bin] <defunct>
55 1 Z [gpgconf] <defunct... | 38.4625 | 118 | 0.706857 |
50116fee1b8d7655df07696546d2b5d2109540c8 | 3,398 | py | Python | research/cv/AVA_hpa/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/AVA_hpa/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/AVA_hpa/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 42.475 | 95 | 0.64332 |
5015e575f01f280b3335e7633c7a67446cd466ea | 364 | py | Python | Theories/Algorithms/Recursion1/Pow/pow_x_n.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Theories/Algorithms/Recursion1/Pow/pow_x_n.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Theories/Algorithms/Recursion1/Pow/pow_x_n.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | # def myPow(x, n):
# if not n:
# return 1
# if n < 0:
# return 1 / myPow(x, -n)
# if n % 2:
# return x * myPow(x, n - 1)
# return myPow(x * x, n / 2)
def myPow(x, n):
if n < 0:
x = 1 / x
n = -n
pow = 1
while n:
if n & 1:
pow *= x
... | 18.2 | 36 | 0.343407 |
7640640ebc31149d876d2299f064fe7475cd8153 | 467 | py | Python | LF6/zip_woerterbuch.py | JohannesMuelle/workshops | af9140159e3872aff75864ced99b5163d7bba1ba | [
"CC0-1.0"
] | 5 | 2016-07-07T09:00:31.000Z | 2017-03-09T22:46:33.000Z | LF6/zip_woerterbuch.py | JohannesMuelle/workshops | af9140159e3872aff75864ced99b5163d7bba1ba | [
"CC0-1.0"
] | null | null | null | LF6/zip_woerterbuch.py | JohannesMuelle/workshops | af9140159e3872aff75864ced99b5163d7bba1ba | [
"CC0-1.0"
] | 8 | 2016-05-13T14:29:06.000Z | 2019-10-20T16:43:32.000Z | import zipfile
import sys
from threading import Thread
zFile = zipfile.ZipFile("evil.zip")
def entpackeDatei(zFile, passwort):
try:
zFile.extractall(pwd=passwort)
print("[+]"+passwort+"\n")
except:
print("[]"+passwort+"\n")
pass
def main():
passFile = open('German.dic')
... | 22.238095 | 65 | 0.610278 |
7660373f3d83294cc8821f697c6ec56e2c958f5a | 1,418 | py | Python | src/lecture4/ROC_plot/draw_plot.py | Fassial/zju-intern | f421f9c97d3c567e9b97121c5bf5c675c9e2c721 | [
"MIT"
] | 1 | 2020-08-17T07:09:09.000Z | 2020-08-17T07:09:09.000Z | src/lecture4/ROC_plot/draw_plot.py | Fassial/zju-intern | f421f9c97d3c567e9b97121c5bf5c675c9e2c721 | [
"MIT"
] | null | null | null | src/lecture4/ROC_plot/draw_plot.py | Fassial/zju-intern | f421f9c97d3c567e9b97121c5bf5c675c9e2c721 | [
"MIT"
] | 2 | 2020-07-26T07:27:57.000Z | 2020-08-17T07:09:15.000Z | import matplotlib.pyplot as plt
import os
import numpy as np
from sklearn.metrics import roc_curve
color_list = ['red','blue','black','chocolate','yellow','green','pink','violet']
font = {'family': 'Times New Roman', 'weight': 'normal', 'size': 9, }
def draw_roc_plot(score_list,true_list,number_list,save_fig_path,fi... | 47.266667 | 146 | 0.683357 |
4f743ea6291d34265ede54d49d51123afc13fb56 | 2,685 | py | Python | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_Data.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_Data.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_Data.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.datasets import fetch_california_housing
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import StandardScaler
class TAXIROUTING:
def __init... | 44.75 | 120 | 0.641341 |
8c664ee18c39a929d7cd161be5f9c25db015ce73 | 496 | py | Python | setup.py | ISalimzhanov/devops_lab1 | ea9b271d5d6fed3f85b2c90f61f4a9dd13c5ece2 | [
"PSF-2.0"
] | null | null | null | setup.py | ISalimzhanov/devops_lab1 | ea9b271d5d6fed3f85b2c90f61f4a9dd13c5ece2 | [
"PSF-2.0"
] | null | null | null | setup.py | ISalimzhanov/devops_lab1 | ea9b271d5d6fed3f85b2c90f61f4a9dd13c5ece2 | [
"PSF-2.0"
] | null | null | null | from setuptools import find_packages, setup
with open("README.md") as f:
readme = f.read()
with open("LICENSE") as f:
license = f.read()
setup(
name="Simple web app to show current time in Moscow",
version="0.1.0",
description="Simple web app to show current time in Moscow",
long_description=... | 26.105263 | 64 | 0.685484 |
0f9854c7721932d097a95c345ded32aceb81ec58 | 387 | py | Python | src/config.py | whfuyn/fyzero | c4c258849a29c84531b54fb67109be6675c28151 | [
"MIT"
] | 1 | 2019-02-16T06:27:32.000Z | 2019-02-16T06:27:32.000Z | src/config.py | whfuyn/AlphaFy | c4c258849a29c84531b54fb67109be6675c28151 | [
"MIT"
] | null | null | null | src/config.py | whfuyn/AlphaFy | c4c258849a29c84531b54fb67109be6675c28151 | [
"MIT"
] | null | null | null | # MCTS
C_PUCT = 2**0.5
EPSILON = 0.25 # P = (1 - EPSILON) * P + EPSILON * noise
ALPHA = 0.03 # Dirichlect noise
VIRTUAL_DISCOUNT = 0.8
DEFAULT_PARALLEL_NUM = 8 # Faster at the cost of thinking depth.
# Game
BOARD_SHAPE = (9, 9)
NUM_CONNECTED_TO_WIN = 5
DEFAULT_GUIDE_ENABLED = False # This option is slow.
# Networ... | 22.764706 | 65 | 0.713178 |
ba005e01dca984a320837ee0b21a90696007bfa8 | 803 | py | Python | tshark_linux.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | tshark_linux.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | tshark_linux.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# example: tshark -R (gsm_map.dialogue.destinationReference) -w 124.cap -r \\10.9.29.108\FSRoot\dp10_data\GuangDongYD\GsmMap_GsmCap_E1\xili_data\124.cap
import os
# linux
filter = 's1ap||gtpv2||diameter'
src_dir = '/home/genius/new_sc_lte'
dst_dir = '/home/genius/new_sc_lte_pure'
... | 26.766667 | 153 | 0.636364 |
fa4b08f5b4bd8bdef02c9b3bc9c3ca851feccfe7 | 350 | py | Python | quark_core_api/core/script.py | arcticle/Quark | 17aa5b5869a9e9c7a04c1a371fef5998f33dc319 | [
"MIT"
] | null | null | null | quark_core_api/core/script.py | arcticle/Quark | 17aa5b5869a9e9c7a04c1a371fef5998f33dc319 | [
"MIT"
] | null | null | null | quark_core_api/core/script.py | arcticle/Quark | 17aa5b5869a9e9c7a04c1a371fef5998f33dc319 | [
"MIT"
] | null | null | null | import os, copy
class Script(object):
def __init__(self, name, directory):
self._name = name
self._filename = os.path.join(directory, "{}.py".format(name))
@property
def name(self):
return self._name
@property
def filename(self):
return self._filename
def run... | 18.421053 | 70 | 0.602857 |
ad5be745a86deb170bd78ec06a50c691c0807880 | 2,404 | py | Python | year_2/prog_base_sem1_cw/app/administer/forms.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | year_2/prog_base_sem1_cw/app/administer/forms.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | 21 | 2020-03-24T16:26:04.000Z | 2022-02-18T15:56:16.000Z | year_2/prog_base_sem1_cw/app/administer/forms.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import ValidationError
from ..models import Role, User
from wtforms.validators import DataRequired, Length, Email, Regexp
from wtforms import StringField, TextAreaField, BooleanField, SelectField, SubmitField, DateField
class EditProfileAdminForm(FlaskForm):
email = St... | 43.709091 | 117 | 0.668053 |
d1090de839eca5aaf619b1d99096fd0584070acb | 356 | py | Python | 01.DataStructure/Tree/HG/P42576.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 01.DataStructure/Tree/HG/P42576.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 01.DataStructure/Tree/HG/P42576.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | def solution(participant, completion):
answer = ''
part = {}
for p in participant:
if not p in part:
part[p] = 1
else:
part[p] += 1
for c in completion:
if c in part:
part[c] -= 1
for k, v in part.items():
if v == 1:
... | 19.777778 | 38 | 0.441011 |
d154dbb4fee1c03eadabb48ac567fcdcbb21bd4b | 180 | py | Python | Object Oriented Programming/monopoly/spiel.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | Object Oriented Programming/monopoly/spiel.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | Object Oriented Programming/monopoly/spiel.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | import spielbrett
import die
class Spiel:
def __init__(self):
self.spielbrett = spielbrett.Spielbrett()
self.die_1 = die.Die()
self.die_2 = die.Die()
| 18 | 49 | 0.633333 |
d162435f00a4a290f4b7b2e796ddd8a49c4667dc | 2,053 | py | Python | plugins/tff_backend/bizz/messages.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | null | null | null | plugins/tff_backend/bizz/messages.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 178 | 2017-08-02T12:58:06.000Z | 2017-12-20T15:01:12.000Z | plugins/tff_backend/bizz/messages.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 2 | 2018-01-10T10:43:12.000Z | 2018-03-18T10:42:23.000Z | # -*- coding: utf-8 -*-
# Copyright 2017 GIG Technology NV
#
# 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... | 45.622222 | 117 | 0.741354 |
7e249d61eae514decc26063db48f6608a2ed86f3 | 901 | py | Python | source/pkgsrc/misc/calibre/patches/patch-setup_build__environment.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/misc/calibre/patches/patch-setup_build__environment.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/misc/calibre/patches/patch-setup_build__environment.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-setup_build__environment.py,v 1.6 2019/03/25 13:11:56 wiz Exp $
Always build like on Linux.
--- setup/build_environment.py.orig 2019-03-08 06:09:34.000000000 +0000
+++ setup/build_environment.py
@@ -111,8 +111,8 @@ def get_sip_dir():
pyqt['pyqt_sip_dir'] = get_sip_dir()
pyqt['sip_inc_dir'] = os.envir... | 50.055556 | 134 | 0.706992 |
0e180a911b7d9af995a7beced33f929ef1f674ca | 427 | py | Python | pythonProj/FZPython/pyquant/libs/utillib.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/pyquant/libs/utillib.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/pyquant/libs/utillib.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | 2 | 2019-04-10T10:05:00.000Z | 2021-11-24T17:17:23.000Z | #!/usr/bin/env python
# coding: utf8
import time
import datetime
def get_today():
today = datetime.datetime.now().strftime('%Y-%m-%d')
return today
def list_to_string(l):
l = [str(item) for item in l]
return "".join(l)
if __name__ == '__main__':
""""""
from pyquant.db_models import Symb... | 15.814815 | 56 | 0.65808 |
0ea6ac4cb94a2b869dcdc94ce8cf668ba00f7eb2 | 7,636 | py | Python | research/audio/wavenet/wavenet_vocoder/modules.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/audio/wavenet/wavenet_vocoder/modules.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/audio/wavenet/wavenet_vocoder/modules.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 35.682243 | 119 | 0.619303 |
7d1f95e6db965ad539fc4c356cc1d37968b087c9 | 1,252 | py | Python | handle_text.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | 5 | 2020-08-17T08:37:16.000Z | 2021-06-07T05:02:05.000Z | handle_text.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | null | null | null | handle_text.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | 1 | 2021-06-07T05:02:10.000Z | 2021-06-07T05:02:10.000Z | import CralwerSet.connect_mysql as connect_mysql
import json
import Levenshtein
import datetime
import pymysql
def diff(string, List):
for each in List:
if Levenshtein.ratio(string, each) > 0.8:
return False
return True
conn = connect_mysql.w_shark_erp()
cur = conn.cursor()
insertSql = "i... | 27.822222 | 99 | 0.638179 |
bc04ac2a6ce67e98da9dffe12d7c6b69e881eb30 | 4,368 | py | Python | fuzzsvc/controller/Host.py | ifoundthetao/FuzzFlow | 86559ac7f85fc89510c0d9647e02880edb95aa2a | [
"MIT"
] | 53 | 2016-08-26T02:51:45.000Z | 2021-05-24T21:05:44.000Z | controller/Host.py | FingerLeakers/FuzzFlow | 3f2de617c3658904f9640f53a05d5e4e90634e32 | [
"MIT"
] | null | null | null | controller/Host.py | FingerLeakers/FuzzFlow | 3f2de617c3658904f9640f53a05d5e4e90634e32 | [
"MIT"
] | 31 | 2016-08-26T04:08:31.000Z | 2021-05-24T21:05:54.000Z | from datetime import datetime
from flask_restful import Resource, reqparse
from model.FuzzingHost import FuzzingHost
from model.FuzzingArch import FuzzingArch
from model.FuzzingPlatform import FuzzingPlatform
from controller.Job import JobManager
from app import app
db = app.config['db']
class HostCtrl(Resource):
... | 34.944 | 85 | 0.576465 |
70db273dbf7f0ce3e66e9cc71ea3e37073902e60 | 8,180 | py | Python | zencad/geom/sweep.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/geom/sweep.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/geom/sweep.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | from zencad.geom.shape import Shape, shape_generator
from zencad.lazifier import lazy
from zencad.util import vector3
from zencad.geom.trans import translate
import zencad.geom.exttrans
from OCC.Core.TopAbs import TopAbs_FACE
from OCC.Core.BRepPrimAPI import BRepPrimAPI_MakePrism, BRepPrimAPI_MakeRevol
from OCC.Core.B... | 28.802817 | 276 | 0.675672 |
70eefc1c230d1b55fa9b2183f6e21c8bfb9f72b2 | 3,455 | py | Python | Codeforces/648-2/B.py | dipta007/Competitive-Programming | 998d47f08984703c5b415b98365ddbc84ad289c4 | [
"MIT"
] | 6 | 2018-10-15T18:45:05.000Z | 2022-03-29T04:30:10.000Z | Codeforces/648-2/B.py | dipta007/Competitive-Programming | 998d47f08984703c5b415b98365ddbc84ad289c4 | [
"MIT"
] | null | null | null | Codeforces/648-2/B.py | dipta007/Competitive-Programming | 998d47f08984703c5b415b98365ddbc84ad289c4 | [
"MIT"
] | 4 | 2018-01-07T06:20:07.000Z | 2019-08-21T15:45:59.000Z | """ Python 3 compatibility tools. """
from __future__ import division, print_function
import itertools
import sys
import os
from io import BytesIO, IOBase
if sys.version_info[0] < 3:
input = raw_input
range = xrange
filter = itertools.ifilter
map = itertools.imap
zip = itertools.izip
def is_it_local():
... | 20.939394 | 73 | 0.574819 |
cb1cb9ab12d5ffb1fbc7c39aab98b116c9072790 | 6,318 | py | Python | doc/precursers/2019_09-Sneakernet/Sneakernet/udp_peer.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | doc/precursers/2019_09-Sneakernet/Sneakernet/udp_peer.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | doc/precursers/2019_09-Sneakernet/Sneakernet/udp_peer.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | #!/usr/bin/env python3
# sn/udp_peer.py
# import bluetooth
import base64
import select
import socket
import sys
import time
LOGS_DIR = 'logs'
import lib.gg as gg
import lib.local_db as ldb
# server_sock=bluetooth.BluetoothSocket( bluetooth.L2CAP )
PEER_PORT = 0x1001
# --------------------------------------... | 37.384615 | 101 | 0.524375 |
0e0f9db9ad47d76b69f3f4412a7a7f10cbf51b8d | 397 | py | Python | exercises/zh/exc_03_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/zh/exc_03_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/zh/exc_03_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.language import Language
# 定义定制化组件
@Language.component("length_component")
def length_component_function(doc):
# 获取doc的长度
doc_length = ____
print(f"This document is {doc_length} tokens long.")
# 返回这个doc
____
# 读取小规模的中文流程
nlp = spacy.load("zh_core_web_sm")
# 将组件加入到流程的最前面，打... | 17.26087 | 56 | 0.735516 |
2db499c418f7cd4975352e65fbe5677313a726cc | 236 | py | Python | languages/python/exercises/concept/enums/enums.py | AlexLeSang/v3 | 3d35961a961b5a2129b1d42f1d118972d9665357 | [
"MIT"
] | null | null | null | languages/python/exercises/concept/enums/enums.py | AlexLeSang/v3 | 3d35961a961b5a2129b1d42f1d118972d9665357 | [
"MIT"
] | 45 | 2020-01-24T17:04:52.000Z | 2020-11-24T17:50:18.000Z | languages/python/exercises/concept/enums/enums.py | AlexLeSang/v3 | 3d35961a961b5a2129b1d42f1d118972d9665357 | [
"MIT"
] | null | null | null | from enum import Enum
# Define Log Level Here.
class LogLevel(Enum):
pass
def parse_log_level(message):
pass
def convert_to_short_log(message):
pass
def return_alias():
pass
def return_members(enum_class):
pass
| 13.111111 | 34 | 0.720339 |
2dc2e298e40a0767c93e33b592f622a13cca364e | 90 | py | Python | agspiel/api/__init__.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 1 | 2021-03-09T21:37:41.000Z | 2021-03-09T21:37:41.000Z | agspiel/api/__init__.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 4 | 2020-11-13T19:34:58.000Z | 2021-07-24T16:25:27.000Z | agspiel/api/__init__.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 1 | 2020-08-24T14:38:18.000Z | 2020-08-24T14:38:18.000Z | # Copyright (c) 2020 | KingKevin23 (@kingkevin023)
from .api import Api
__all__ = [Api] | 18 | 51 | 0.7 |
93515ffc53732b0aaf2f9e4052b5a519e4ad1493 | 2,682 | py | Python | app/recipe/tests/test_ingredients_api.py | Sahinovic/Kuhar | b01cef5f6f0013196d96c8b71f3cf39a8cc149de | [
"MIT"
] | null | null | null | app/recipe/tests/test_ingredients_api.py | Sahinovic/Kuhar | b01cef5f6f0013196d96c8b71f3cf39a8cc149de | [
"MIT"
] | null | null | null | app/recipe/tests/test_ingredients_api.py | Sahinovic/Kuhar | b01cef5f6f0013196d96c8b71f3cf39a8cc149de | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Ingredient
from recipe.serializers import IngredientSerializer
INGREDIENTS_URL=reverse ('recipe:ingredie... | 35.289474 | 76 | 0.673751 |
521f99911a3361971dc457a3990310b5ee9c4687 | 5,746 | py | Python | Utils/py/MotionAnalysis/motor_vs_sensor_joint.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/MotionAnalysis/motor_vs_sensor_joint.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/MotionAnalysis/motor_vs_sensor_joint.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import BehaviorParser
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import math
JointID = {
"HeadPitch": 0,
"HeadYaw": 1,
"RShoulderRoll": 2,
"LShoulderRoll": 3,
"RShoulderPitch": 4,
"LShoulderPitch": 5,
"RElbowRoll": 6,
"LElbowRoll": 7,
"RElbowYaw": 8,
"... | 29.020202 | 112 | 0.555517 |
5e75c2c3885be33e725c3577a89a46eeafa40431 | 9,927 | py | Python | main.py | jorgeaugustocarvalho/Sinbad-Bot | 4370f6cf598e88a25023dd821b489ecf34b924a9 | [
"MIT"
] | null | null | null | main.py | jorgeaugustocarvalho/Sinbad-Bot | 4370f6cf598e88a25023dd821b489ecf34b924a9 | [
"MIT"
] | null | null | null | main.py | jorgeaugustocarvalho/Sinbad-Bot | 4370f6cf598e88a25023dd821b489ecf34b924a9 | [
"MIT"
] | null | null | null | import discord
import emoji
from deep_translator import GoogleTranslator
from discord.ext import commands
import random
import asyncio
import time
client = commands.Bot(command_prefix = "$", case_insensitive = True)
@client.event
async def on_ready():
print(' "Humanos são como oceanos, e não há ondas que eu não p... | 31.119122 | 276 | 0.569256 |
df00149bd31d5c6665b2f0640308cdd53673d227 | 173 | py | Python | books/python_workout/code_examples/main.py | roskenet/Playground | 3cce70eeb38646b0f2ffbd071c3aaec7b8f5b9cb | [
"MIT"
] | null | null | null | books/python_workout/code_examples/main.py | roskenet/Playground | 3cce70eeb38646b0f2ffbd071c3aaec7b8f5b9cb | [
"MIT"
] | null | null | null | books/python_workout/code_examples/main.py | roskenet/Playground | 3cce70eeb38646b0f2ffbd071c3aaec7b8f5b9cb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from killerapp import dothings
if __name__ == '__main__':
dothings.do_something()
# See PyCharm help at https://www.jetbrains.com/help/pycharm/
| 19.222222 | 61 | 0.734104 |
df4fb8cfb8fb42cb2f6fb30e9d5dc437b737025c | 1,331 | py | Python | tests/test_utils.py | flat35hd99/jupyter-book | 4d5b474e6f2b80c4d1d206e4554740ff82a344dc | [
"BSD-3-Clause"
] | 2,109 | 2020-05-02T23:47:18.000Z | 2022-03-31T22:16:54.000Z | tests/test_utils.py | flat35hd99/jupyter-book | 4d5b474e6f2b80c4d1d206e4554740ff82a344dc | [
"BSD-3-Clause"
] | 1,158 | 2020-04-29T18:07:02.000Z | 2022-03-31T21:50:57.000Z | tests/test_utils.py | flat35hd99/jupyter-book | 4d5b474e6f2b80c4d1d206e4554740ff82a344dc | [
"BSD-3-Clause"
] | 360 | 2020-04-29T14:44:49.000Z | 2022-03-31T09:26:23.000Z | import pytest
from click.testing import CliRunner
from jupyter_book.cli.main import init as myst_init
from jupyter_book.utils import init_myst_file
def test_myst_init(cli: CliRunner, temp_with_override):
"""Test adding myst metadata to text files."""
path = temp_with_override.joinpath("tmp.md").absolute()
... | 34.128205 | 80 | 0.694966 |
df6bf24410286fec6ca4aa8edb5e29fcb3cc437a | 21,068 | py | Python | src/onegov/org/path.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/path.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/path.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Contains the paths to the different models served by onegov.org. """
import sedate
from datetime import date
from onegov.chat import MessageCollection
from onegov.core.converters import extended_date_converter
from onegov.core.converters import json_converter
from onegov.directory import Directory
from onegov.dir... | 29.799151 | 78 | 0.714116 |
df812529cb5c551b07dbe362213271afc6b3be17 | 253 | py | Python | model/particleState.py | Limatationz/pandemiesimulator | 91d21fda2f9c77d616a9e9401271fc044b421007 | [
"MIT"
] | null | null | null | model/particleState.py | Limatationz/pandemiesimulator | 91d21fda2f9c77d616a9e9401271fc044b421007 | [
"MIT"
] | null | null | null | model/particleState.py | Limatationz/pandemiesimulator | 91d21fda2f9c77d616a9e9401271fc044b421007 | [
"MIT"
] | null | null | null | """
Element of the model.
Contains the ParticleState enum.
"""
from enum import Enum
class ParticleState(Enum):
"""
Contains all health states
"""
HEALTHY = 1
INFECTED = 2
INFECTIOUS = 3
IMMUNE = 4
DECEASED = 5
| 14.882353 | 36 | 0.600791 |
800b673f4321da98e2a44074024d66ef2cbd622b | 526 | py | Python | py-basics/src/lectures/lists/exercise3.py | AndrasTarlos/s4f | bfe2d631a9a2715953d8ac5ddc8ef97d3cefb426 | [
"CC0-1.0"
] | null | null | null | py-basics/src/lectures/lists/exercise3.py | AndrasTarlos/s4f | bfe2d631a9a2715953d8ac5ddc8ef97d3cefb426 | [
"CC0-1.0"
] | null | null | null | py-basics/src/lectures/lists/exercise3.py | AndrasTarlos/s4f | bfe2d631a9a2715953d8ac5ddc8ef97d3cefb426 | [
"CC0-1.0"
] | 4 | 2021-12-13T15:52:00.000Z | 2022-03-28T13:54:53.000Z | """
List Exercise 3
Implementieren Sie die Funktion except_for(), welche eine Kopie von 'my_list' zurückgibt, ohne dass die ausgeschlossenen
Elemente 'excluded' darin enthalten sind. Benutzen Sie die nachfolgenden Tests zur Kontrolle.
"""
def except_for(my_list, excluded):
result = []
for element in my_list:... | 26.3 | 120 | 0.661597 |
1d5bd107e83f7bab18f500ff0edd5c08cd3c8c1d | 999 | py | Python | assignments/ps0-template/tests.py | tallamjr/mit-6006 | c2aa6bb48edef5800c0779ba2eebd697d44249b5 | [
"MIT"
] | 1 | 2022-02-26T13:52:31.000Z | 2022-02-26T13:52:31.000Z | assignments/ps0-template/tests.py | tallamjr/mit-6006 | c2aa6bb48edef5800c0779ba2eebd697d44249b5 | [
"MIT"
] | null | null | null | assignments/ps0-template/tests.py | tallamjr/mit-6006 | c2aa6bb48edef5800c0779ba2eebd697d44249b5 | [
"MIT"
] | null | null | null | import unittest
from count_long_subarray import count_long_subarray
tests = (
(
(2, 2, 4, 1, 4),
2,
),
(
(7, 8, 5, 7, 7, 3, 2, 8),
3,
),
(
(7, 7, 9, 1, 2, 11, 9, 6, 2, 8, 9),
2,
),
(
(4, 18, 10, 8, 13, 16, 18, 1, 9, 6, 11, 13, 12, 5, 7... | 24.365854 | 99 | 0.525526 |
1d6d04fb7d80dce648998ffe6f6acd6cdcbad560 | 1,824 | py | Python | criterion/SE.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | 2 | 2020-12-22T08:40:05.000Z | 2021-03-30T08:09:44.000Z | criterion/SE.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | criterion/SE.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
#TODO：未正式启用
class SELoss(nn.Module):
def __init__(self, num_classes=6):
super(SELoss, self).__init__()
self.bce = nn.BCELoss()
self.num_classes = num_classes
... | 26.057143 | 71 | 0.570724 |
d5a473b2d1c767031f6b3f614ce9d6e371274287 | 1,103 | py | Python | server/apps/movie/views.py | Mayandev/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 129 | 2019-04-20T08:23:25.000Z | 2022-03-14T10:02:23.000Z | server/apps/movie/views.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 9 | 2019-05-19T15:06:17.000Z | 2021-12-14T06:47:14.000Z | server/apps/movie/views.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 34 | 2019-05-06T06:37:17.000Z | 2021-12-09T02:27:58.000Z | from django.shortcuts import render
# Create your views here.
from movie.serializers import MovieSerializer, GenreSerializer
from .models import Movie, Genre
from rest_framework import mixins, viewsets
from rest_framework.pagination import PageNumberPagination
class MoviePagination(PageNumberPagination):
'''
... | 24.511111 | 67 | 0.685403 |
985c95116cc3e3646123324743d676791fd72f96 | 462 | py | Python | packages/watchmen-data-surface/src/watchmen_data_surface/settings.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-surface/src/watchmen_data_surface/settings.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-surface/src/watchmen_data_surface/settings.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from logging import getLogger
from pydantic import BaseSettings
logger = getLogger(__name__)
class DataSurfaceSettings(BaseSettings):
TRUNCATE_TOPIC_DATA: bool = True
class Config:
# secrets_dir = '/var/run'
env_file = '.env'
env_file_encoding = 'utf-8'
case_sensitive = True
settings = DataSurfaceSetti... | 19.25 | 57 | 0.761905 |
7f3f704cf0465e0e557a93ed59164e36aca32b21 | 1,755 | py | Python | test/test_npu/test_network_ops/test_max_v1_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_max_v1_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_max_v1_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 38.152174 | 77 | 0.692308 |
7f4815ef07fb18a63e9bc498eb22de5de5f98791 | 20,675 | py | Python | etl/load/pipelines/derive_main.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/load/pipelines/derive_main.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/load/pipelines/derive_main.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | # derive pipeline for cdm_twf
import etl.load.primitives.tbl.derive as derive_func
import etl.load.primitives.tbl.clean_tbl as clean_tbl
from etl.load.primitives.tbl.derive import with_ds
from etl.load.primitives.tbl.derive_helper import *
import time
import os
CLEAN_SQL = False
IGNORE_LEGACY_DERIVE = True
PARRALELL =... | 49.22619 | 197 | 0.66786 |
f68a15694ed165ec049ce9ac69a54d627bd8301a | 930 | py | Python | ___Python/Marco/PythonProj/p05_random/m01-wuerfeln.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Marco/PythonProj/p05_random/m01-wuerfeln.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Marco/PythonProj/p05_random/m01-wuerfeln.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | import random
r = random.Random()
def wuerfeln():
return r.randint(1, 6) # Augenzahl zw. 1 und 6
def muenzwurf():
return r.randit(0, 1) # 0 = Kopf, 1 = Zahl
d = {}
for i in range(100000):
augenzahl = wuerfeln()
if augenzahl in d:
d[augenzahl] += 1
else:
d[augenzahl]... | 18.6 | 61 | 0.556989 |
f6ccdd7a5713975aa605501560fcbab3ae3aa197 | 12,289 | py | Python | insomniac/action_runners/interact/action_handle_blogger.py | shifenis/Insomniac | 7c9d572b83c29049bc3075073be5549fe821a739 | [
"MIT"
] | 533 | 2020-06-01T10:40:11.000Z | 2022-03-29T17:05:50.000Z | insomniac/action_runners/interact/action_handle_blogger.py | shifenis/Insomniac | 7c9d572b83c29049bc3075073be5549fe821a739 | [
"MIT"
] | 399 | 2020-06-01T22:01:55.000Z | 2022-03-29T20:39:29.000Z | insomniac/action_runners/interact/action_handle_blogger.py | shifenis/Insomniac | 7c9d572b83c29049bc3075073be5549fe821a739 | [
"MIT"
] | 166 | 2020-06-01T21:51:52.000Z | 2022-03-12T14:14:44.000Z | from functools import partial
from insomniac.action_runners.actions_runners_manager import ActionState
from insomniac.actions_impl import interact_with_user, InteractionStrategy
from insomniac.actions_types import LikeAction, FollowAction, InteractAction, GetProfileAction, StoryWatchAction, \
BloggerInteractionTyp... | 50.991701 | 148 | 0.667182 |
12416ad926865ba4956da6f486c631058489c645 | 726 | py | Python | pacman-termux/test/pacman/tests/ignore008.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/ignore008.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/ignore008.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Sync with relevant ignored fnmatched packages"
package1 = pmpkg("foopkg", "1.0-1")
self.addpkg2db("local", package1)
package2 = pmpkg("barpkg", "2.0-1")
self.addpkg2db("local", package2)
package3 = pmpkg("bazpkg", "3.0-1")
self.addpkg2db("local", package3)
package1up = pmpkg("foopkg", "2.0-1")
... | 24.2 | 66 | 0.699725 |
125d65741d533d781e6c44a1055f77d2fa988417 | 6,086 | py | Python | official/cv/deeplabv3/ascend310_quant_infer/post_quant.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/deeplabv3/ascend310_quant_infer/post_quant.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/deeplabv3/ascend310_quant_infer/post_quant.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 34.977011 | 116 | 0.687808 |
89c76706dec7cc2dc6dc72574a2fb4564ab638cf | 1,829 | py | Python | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/07_zahlenraten.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/07_zahlenraten.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/07_zahlenraten.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # Kleines Spiel bei welchem eine Zahl zwischen 1 und x erraten werden soll.
from random import randint as rng
print('Lass uns ein Spiel spielen.\n\nIch denke mir eine Zahl zwischen 1 und X aus \nund du musst sie erraten.')
print('Welche Zahl sollen wir für X nehmen?')
while True:
try:
maxcnt = int(input())... | 35.862745 | 137 | 0.564243 |
d607b2f745ed5b9d0fea712929cb5363cb412603 | 558 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v10_0/add_default_cash_flow_mappers.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v10_0/add_default_cash_flow_mappers.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v10_0/add_default_cash_flow_mappers.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2017, Frappe and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from erpnext.setup.install import create_default_cash_flow_mapper_templates
def execute():
frappe.reload_doc('accounts', 'doctype', frappe.scrub('Cash Flo... | 34.875 | 96 | 0.777778 |
c3bb0009437d4eedbadb5326a06698ffa3a66c04 | 2,252 | py | Python | MAIN/STM32F405/V03/system.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | MAIN/STM32F405/V03/system.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | MAIN/STM32F405/V03/system.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | import utime
from SX1239 import SX1239
from display import Display, NextionCommand
import userControl
from register import DataBase
DB = DataBase()
SX1239 = SX1239()
Display = Display()
NEXTIONCOMMAND = NextionCommand()
NEXTIONCOMMAND.ClearAllBuffer()
NEXTIONCOMMAND.Page.Buffer = NEXTIONCOMMAND.Page.FfV16
NEXTIONCO... | 31.277778 | 80 | 0.698934 |
c3ce44d8eca06c9c8d27f41802e20c5c0c6e70fb | 1,106 | py | Python | flask/microblog-db/migrations/versions/fe7de99e910c_.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | flask/microblog-db/migrations/versions/fe7de99e910c_.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | 2 | 2021-03-25T22:00:07.000Z | 2022-01-20T15:51:48.000Z | flask/microblog-login/migrations/versions/fe7de99e910c_.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | """empty message
Revision ID: fe7de99e910c
Revises: None
Create Date: 2019-04-14 13:50:33.492638
"""
# revision identifiers, used by Alembic.
revision = 'fe7de99e910c'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
# ### commands auto generated by Alembic - please adjust! #... | 28.358974 | 71 | 0.68264 |
61b8c61b685cc1d67cb961e68261153e29159efc | 668 | py | Python | features/mona.py | BogyMitutoyoCTL/Riesen-Tetris | 8bbbaf0b7aeae7890da724d3d72719a7d068237a | [
"MIT"
] | 1 | 2019-04-27T07:28:52.000Z | 2019-04-27T07:28:52.000Z | features/mona.py | BogyMitutoyoCTL/Riesen-Tetris | 8bbbaf0b7aeae7890da724d3d72719a7d068237a | [
"MIT"
] | null | null | null | features/mona.py | BogyMitutoyoCTL/Riesen-Tetris | 8bbbaf0b7aeae7890da724d3d72719a7d068237a | [
"MIT"
] | null | null | null | import time
from PIL import Image
from features.feature import Feature
class Mona(Feature):
def __init__(self, field_leds, field_matrix, rgb_field_painter, led_matrix_painter):
super(Mona, self).__init__(field_leds, field_matrix, rgb_field_painter, led_matrix_painter)
def event(self, eventname: st... | 25.692308 | 99 | 0.643713 |
9cb9b695c291d853d84d5de5fffb4ecaba2abe8d | 806 | py | Python | Algorithms/Sorting/insertion_part1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Sorting/insertion_part1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Sorting/insertion_part1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import copy
def insertion_sort(ar):
for i in range(1, len(ar)):
key = ar[i]
j = i - 1
while j > -1 and key < ar[j]:
ar[j + 1] = ar[j]
j = j - 1
ar[j+1] = key
return ar
n = int(input().strip())
ar = list(map(int, input(... | 22.388889 | 48 | 0.496278 |
2e954e6a7cb2dc1e0a38a99d6c42a6fb88757704 | 626 | py | Python | src/common/losses/factory.py | AakashMallik/cnn-firefly | 6c8ed58a035e62682263753436b124cb979ed240 | [
"MIT"
] | null | null | null | src/common/losses/factory.py | AakashMallik/cnn-firefly | 6c8ed58a035e62682263753436b124cb979ed240 | [
"MIT"
] | 7 | 2020-11-27T12:24:31.000Z | 2020-11-29T09:41:09.000Z | src/common/losses/factory.py | AakashMallik/cnn-firefly | 6c8ed58a035e62682263753436b124cb979ed240 | [
"MIT"
] | null | null | null | from torch.nn import (CrossEntropyLoss, NLLLoss, MSELoss,
BCEWithLogitsLoss, BCELoss)
from ..interfaces import FactoryInterface
class LossFactory(FactoryInterface):
lookup_table = {
"CrossEntropyLoss": CrossEntropyLoss,
"NLLLoss": NLLLoss,
"BCELoss": BCELoss
}
... | 28.454545 | 71 | 0.63099 |
2ecd3ca2b79a0bf4094f52041728bb4be4e58b39 | 97 | py | Python | python/coursera_python/MICHIGAN/exception/exce.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/MICHIGAN/exception/exce.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/MICHIGAN/exception/exce.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | try:
print 1/0
except ZeroDivisionError:
print "You can't divide by zero, you're silly."
| 19.4 | 51 | 0.690722 |
25c83b797046de26d5afb050d286066e380a1459 | 139 | py | Python | Java/Secao13EnumeracoesComposicao/aaa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Java/Secao13EnumeracoesComposicao/aaa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Java/Secao13EnumeracoesComposicao/aaa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | num = 9
p = 0
i = 0
while(num > 0):
if num % 2 == 0:
p = p + 1
else:
i = i + 1
num = num - 1
print(p)
print(i) | 11.583333 | 20 | 0.381295 |
6cba3e8d0e08a30ebb74430ca68cd975d9e556a4 | 8,303 | py | Python | RDS/circle2_use_cases/metadata/src/lib/Metadata.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 10 | 2020-06-24T08:22:24.000Z | 2022-01-13T16:17:36.000Z | RDS/circle2_use_cases/metadata/src/lib/Metadata.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 78 | 2020-01-23T14:32:06.000Z | 2022-03-07T14:11:16.000Z | RDS/circle2_use_cases/metadata/src/lib/Metadata.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 1 | 2020-06-24T08:33:48.000Z | 2020-06-24T08:33:48.000Z | import requests
import logging
import json
import os
from lib.Research import Research
from RDS import Util
logger = logging.getLogger()
class Metadata:
def __init__(self, testing: str = None):
"""
This is the constructor. No needed parameters.
Testing has to be valid url string without ... | 32.057915 | 132 | 0.574009 |
4ca2ef019111ae8eddca623d85e21253316e227a | 230 | py | Python | exercises/ja/exc_02_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/ja/exc_02_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/ja/exc_02_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
nlp = spacy.blank("ja")
doc = nlp("デヴィッド・ボウイはPERSONです")
# ラベル「PERSON」のハッシュを引く
person_hash = ____.____.____[____]
print(person_hash)
# person_hashを引いて文字列を取得
person_string = ____.____.____[____]
print(person_string)
| 17.692308 | 36 | 0.769565 |
e23e1a72fab0493f19bd65ca7c6423397274eb28 | 95 | py | Python | Python/main.py | SchickDominik/progprojects | 1eb9c5e3b9445f617b56bd9ceb02f2f182d730e2 | [
"MIT"
] | null | null | null | Python/main.py | SchickDominik/progprojects | 1eb9c5e3b9445f617b56bd9ceb02f2f182d730e2 | [
"MIT"
] | 9 | 2020-08-19T19:31:51.000Z | 2020-09-01T15:30:43.000Z | Python/main.py | SchickDominik/progprojects | 1eb9c5e3b9445f617b56bd9ceb02f2f182d730e2 | [
"MIT"
] | 2 | 2020-08-19T16:00:58.000Z | 2020-08-21T08:16:23.000Z | import math
sum = 0
for i in range(1,1000000000):
sum+=math.sqrt((1/(i**2))*6)
print(sum) | 13.571429 | 32 | 0.621053 |
392470f9769301ab6c1ef0541d17a52b0a754fdf | 632 | py | Python | balsn-2021-writeup/alldata/crypto/1337pins/dist/deploy/src/test.py | Jimmy01240397/balsn-2021-writeup | 91b71dfbddc1c214552280b12979a82ee1c3cb7e | [
"MIT"
] | null | null | null | balsn-2021-writeup/alldata/crypto/1337pins/dist/deploy/src/test.py | Jimmy01240397/balsn-2021-writeup | 91b71dfbddc1c214552280b12979a82ee1c3cb7e | [
"MIT"
] | null | null | null | balsn-2021-writeup/alldata/crypto/1337pins/dist/deploy/src/test.py | Jimmy01240397/balsn-2021-writeup | 91b71dfbddc1c214552280b12979a82ee1c3cb7e | [
"MIT"
] | null | null | null | import multiprocessing as mp
def job(x, q):
result = x
for i in range(10):
result += i
print(result)
q.put(result)
# 使用 multiprocessing 須在 main 裡面用
if __name__=='__main__':
q = mp.Queue() # 使用 queue 接收 function 的回傳值
p1 = mp.Process(target=job, args=(55, q)) # 特別注意 這邊的傳入參數只有一個的話，後面要有逗... | 21.793103 | 73 | 0.558544 |
204573214c46297eaa4f62f94e8b3759df9f323a | 1,137 | py | Python | pandemie/util/plot_score.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | null | null | null | pandemie/util/plot_score.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | null | null | null | pandemie/util/plot_score.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | 1 | 2020-03-28T00:02:41.000Z | 2020-03-28T00:02:41.000Z | """
This file is a useful to plot the currently used score function.
"""
from numpy import arange
from matplotlib import pyplot as plt
try:
from pandemie.tester.tester import Tester, SCORE_HALVED
except ModuleNotFoundError:
print("To run execute `python -m pandemie.util.plot_score` in the project folder")
... | 21.865385 | 86 | 0.666667 |
b3a6510fdd01a0cb7a721178c6e85fae98cfb182 | 92 | py | Python | 2014/06/table-gallup-institutions/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/06/table-gallup-institutions/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/06/table-gallup-institutions/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '18p1S-xRUSvtFxtFXCgoqXwqXuWdwAAIT1dn1238cNn4'
| 23 | 68 | 0.836957 |
b3adaa2f870215119c39195f0ded325efcf3a0fb | 8,245 | py | Python | 3DNet/train_RSNA19.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | null | null | null | 3DNet/train_RSNA19.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | null | null | null | 3DNet/train_RSNA19.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | null | null | null | '''
Written by SeuTao
'''
from setting import parse_opts
from datasets.TReNDs import TReNDsDataset
from model import generate_model
import torch
import numpy as np
from torch import nn
from torch.utils.data import DataLoader
import time
import os
from tqdm import tqdm
def metric(y_true, y_pred):
return np.mean(np... | 34.070248 | 153 | 0.572953 |
80a767a844ca9d997984f137ce8ea799e418f7c5 | 715 | py | Python | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-classes.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-classes.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-classes.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
CS231n Convolutional Neural Networks for Visual Recognition
http://cs231n.github.io/
Python Numpy Tutorial
http://cs231n.github.io/python-numpy-tutorial/
Numpy Reference
https://docs.scipy.org/doc/numpy/reference/
￣
2019-07-02 (Tue)
"""
# Python Numpy Tutorial > Clas... | 21.666667 | 59 | 0.643357 |
039d1a0df018f5cfdd3f4cf1972e6bf2a4f8a5de | 2,677 | py | Python | recipes/cxsparse/3.1.1/conanfile.py | SolarFramework/conan-solar | cdb6253556c056baacaf3e5f28b595869adddb88 | [
"Apache-2.0"
] | null | null | null | recipes/cxsparse/3.1.1/conanfile.py | SolarFramework/conan-solar | cdb6253556c056baacaf3e5f28b595869adddb88 | [
"Apache-2.0"
] | 3 | 2021-02-15T08:48:16.000Z | 2021-02-24T16:35:54.000Z | recipes/cxsparse/3.1.1/conanfile.py | SolarFramework/conan-solar | cdb6253556c056baacaf3e5f28b595869adddb88 | [
"Apache-2.0"
] | null | null | null | import os
import shutil
from conans import ConanFile, tools, CMake
from conans.errors import ConanInvalidConfiguration
class cxsparsesolverConan(ConanFile):
name = "cxsparse"
filename = "CXSparse"
license = "GNU Lesser General Public License"
url = "https://github.com/Solar-Framework/conan-solar/recipe... | 39.955224 | 97 | 0.642137 |
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