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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7fbfe698e472ad895e46c23c86e967421ff847b1 | 993 | py | Python | PINp/2014/Cheraneva A.S/task_9_24.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PINp/2014/Cheraneva A.S/task_9_24.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PINp/2014/Cheraneva A.S/task_9_24.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача 9. Вариант 24.
#Создайте игру, в которой компьютер выбирает какое-либо слово, а игрок должен его отгадать.
#Компьютер сообщает игроку, сколько букв в слове, и дает пять попыток узнать, есть ли какая-либо буква в слове, причем программа может отвечать только "Да" и "Нет".
#Вслед за тем игрок должен попробов... | 28.371429 | 165 | 0.684794 |
12431a4c2cf3d17a8a7abf83c03fb2545256a55a | 1,501 | py | Python | src/Enemies.py | t-azubi/text-adventure | 6106f1bd070bb884e5f369346f7f97bec89dd919 | [
"MIT"
] | null | null | null | src/Enemies.py | t-azubi/text-adventure | 6106f1bd070bb884e5f369346f7f97bec89dd919 | [
"MIT"
] | 9 | 2019-07-15T08:49:00.000Z | 2019-08-28T15:05:08.000Z | src/Enemies.py | t-azubi/text-adventure | 6106f1bd070bb884e5f369346f7f97bec89dd919 | [
"MIT"
] | null | null | null | class Enemy:
"""A base class for all enemies"""
def __init__(self, name, hp, damage, armor, exp):
"""Creates a new enemy
:param name: the name of the enemy
:param hp: the hit points of the enemy
:param damage: the damage the enemy does with each attack
:param armor: the ... | 24.209677 | 79 | 0.60493 |
c39c462be4da4fd437ad0a63459c4b4f7930f940 | 471 | py | Python | ds/practice/daily_practice/20-11/hex_convert_rec.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | ds/practice/daily_practice/20-11/hex_convert_rec.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | ds/practice/daily_practice/20-11/hex_convert_rec.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | """Recursive hex code conversion functions"""
# %%
hex_color_in = "#7D3545"
# int(0xF6A) -> 3,946
hex_in = "F6A"
def hex2dec(hex: str) -> int:
# Clean/strip and validate input
# Pop first letter from string and convert to dec
# Calculate current value of dec: 16**lenth(string) - 1
# Base Case: no ch... | 20.478261 | 59 | 0.660297 |
4ee041423940a651e8a0070ab3c1c3f955a6ee92 | 403 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 44/44.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | 50-Python-Exercises/Exercises/Exercise 44/44.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | 50-Python-Exercises/Exercises/Exercise 44/44.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #FromScratch - Create a script that generates a file where all letters of English alphabet are listed three in each line
import string
letters = string.ascii_lowercase + " "
slice1 = letters[0::3]
slice2 = letters[1::3]
slice3 = letters[2::3]
with open("letters.txt", "w") as file:
for s1, s2, s3 in zip(slice1, ... | 26.866667 | 120 | 0.662531 |
148cde31262bb4a2a1c2bd29827ab0f9d25a7a71 | 82,178 | py | Python | Packs/ForescoutEyeInspect/Integrations/ForescoutEyeInspect/ForescoutEyeInspect.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/ForescoutEyeInspect/Integrations/ForescoutEyeInspect/ForescoutEyeInspect.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/ForescoutEyeInspect/Integrations/ForescoutEyeInspect/ForescoutEyeInspect.py | henry-sue-pa/content | 043c6badfb4f9c80673cad9242fdea72efe301f7 | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | # type: ignore
from copy import deepcopy
from typing import Any, Dict, Tuple, Type
from urllib.parse import urljoin
import urllib3
import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
# disable insecure warnings
urllib3.disable_warnings()
CUSTOM_TABLE_HEADERS = {
'... | 40.742687 | 130 | 0.587213 |
21188e38a259cd5724da0eae86ac9d0d45f0a8a6 | 18,011 | py | Python | docs/conf.py | guruvamsi-policharla/noisy-krotov | c5397d9dbde68d06f17e88620d6a6b2c74664841 | [
"BSD-3-Clause"
] | 49 | 2018-11-07T06:43:33.000Z | 2022-03-18T20:53:06.000Z | docs/conf.py | guruvamsi-policharla/noisy-krotov | c5397d9dbde68d06f17e88620d6a6b2c74664841 | [
"BSD-3-Clause"
] | 94 | 2018-11-06T20:15:04.000Z | 2022-01-06T09:06:15.000Z | docs/conf.py | qucontrol/krotov | 9f9a22336c433dc3a37637ce8cc8324df4290b46 | [
"BSD-3-Clause"
] | 20 | 2018-11-06T20:03:11.000Z | 2022-03-12T05:29:21.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
import os
import shutil
import subprocess
import sys
from pathlib import Path
from unittest import mock
import git
import pybtex.style.formatting
import pybtex.style.formatting.unsrt
import pybtex.style.template
from pybtex.plugin import ... | 33.919021 | 478 | 0.606574 |
25f9d4b465e8e7437c54657a7a8020f2769958a8 | 5,396 | py | Python | prep/preprocess-buildings.py | Empythy/geometry-learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 21 | 2018-10-09T08:15:29.000Z | 2022-03-16T08:23:08.000Z | prep/preprocess-buildings.py | reinvantveer/Topology-Learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 31 | 2017-09-20T13:30:37.000Z | 2018-03-01T13:24:58.000Z | prep/preprocess-buildings.py | reinvantveer/Topology-Learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 7 | 2018-11-29T11:39:02.000Z | 2022-01-12T07:10:26.000Z | # 22007 buildings for gatherings
# 23000 industrial buildings
# 23000 building for lodging
# 23000 buildings for habitation
# 23000 shopping buildings
# 21014 office buildings
# 7832 buildings for health care
# 10717 educational buildings
# 6916 buildings for sports facilities
import os
from datetime import timedelta
... | 36.459459 | 119 | 0.718495 |
6cf66c68a0b71db2cc83bae3e76ecea52756c9d6 | 614 | py | Python | borza_db.py | rok-lindic/Borza | 430f8b177a40bf6494d934e36dd5e85c4367e394 | [
"MIT"
] | null | null | null | borza_db.py | rok-lindic/Borza | 430f8b177a40bf6494d934e36dd5e85c4367e394 | [
"MIT"
] | null | null | null | borza_db.py | rok-lindic/Borza | 430f8b177a40bf6494d934e36dd5e85c4367e394 | [
"MIT"
] | null | null | null | import json
import os.path
from borza_model import vlagatelj
datoteka = []
db_borza = "borza.json"
def shrani123():
file = open(db_borza, 'w')
dic = {
'uporabniki': [vlagatelj.__dict__ for vlagatelj in datoteka],
##
}
json.dump(dic, file,indent=' ')
file.close()
... | 19.1875 | 70 | 0.570033 |
9f4fdf2cbda3cf073926430a8919dd2f89a74e2f | 462 | py | Python | src/onegov/town6/views/publications.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/publications.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/publications.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.security import Public
from onegov.org.views.publications import view_publications
from onegov.town6 import TownApp
from onegov.org.models import PublicationCollection
from onegov.town6.layout import PublicationLayout
@TownApp.html(model=PublicationCollection, permission=Public,
templat... | 38.5 | 77 | 0.818182 |
e296643ea89a59349510324f6b7cd12462f4a66d | 3,983 | py | Python | year_3/databases_sem1/lab2/rdmslab2/api/dbmodels/employees.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | year_3/databases_sem1/lab2/rdmslab2/api/dbmodels/employees.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | 21 | 2020-03-24T16:26:04.000Z | 2022-02-18T15:56:16.000Z | year_3/databases_sem1/lab2/rdmslab2/api/dbmodels/employees.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | from api.models import Employee
class Employees(object):
def __init__(self, cursor):
"""
:param cursor: MySQLdb.cursor.Cursor
"""
self.cursor = cursor
cursor.execute('SET NAMES utf8;')
cursor.execute('SET CHARACTER SET utf8;')
cursor.execute('SET character_s... | 27.280822 | 88 | 0.477278 |
2c61a221d4ea4a4633ee41c6078046c1a2c29d8a | 9,077 | py | Python | ceph/ceph-container/tests/conftest.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 63 | 2018-02-04T03:31:22.000Z | 2022-03-07T08:27:39.000Z | ceph/ceph-container/tests/conftest.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 3 | 2020-06-15T03:41:03.000Z | 2020-06-15T03:41:04.000Z | ceph/ceph-container/tests/conftest.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 40 | 2018-01-22T16:31:16.000Z | 2022-03-08T04:40:42.000Z | import json
import os
import pprint
import time
import docker
from docker.errors import DockerException
import pytest
def pytest_runtest_logreport(report):
if report.failed:
try:
client = docker.Client('unix://var/run/docker.sock', version="auto")
except DockerException as e:
... | 34.382576 | 98 | 0.66696 |
64a13b9295bacddf0a4556e7011cc688e50ac156 | 3,893 | py | Python | dataview.py | jibonaronno/RP2040AudioRecord | c31824129d8b603ae2662bbba5bcc63d1213556b | [
"CC0-1.0"
] | null | null | null | dataview.py | jibonaronno/RP2040AudioRecord | c31824129d8b603ae2662bbba5bcc63d1213556b | [
"CC0-1.0"
] | null | null | null | dataview.py | jibonaronno/RP2040AudioRecord | c31824129d8b603ae2662bbba5bcc63d1213556b | [
"CC0-1.0"
] | null | null | null |
from os.path import join, dirname, abspath
import pandas
from qtpy import uic
from qtpy.QtCore import Slot, QTimer, QThread, Signal, QObject, Qt
from PyQt5.QtGui import *
from PyQt5 import QtCore
from PyQt5.QtWidgets import *
from crud import CRUD
import pandas as pd
_UI3 = join(dirname(abspath(__file__)), 'dataview... | 35.715596 | 106 | 0.565887 |
b60c3710ea03ab231ab84ce1def3fedbc253922a | 1,644 | py | Python | 3_DeepLearning-CNNs/04_CNN_Optimization/2-DataAugmentation/CNN.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 3_DeepLearning-CNNs/04_CNN_Optimization/2-DataAugmentation/CNN.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 3_DeepLearning-CNNs/04_CNN_Optimization/2-DataAugmentation/CNN.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
from tensorflow.keras.layers import *
from tensorflow.keras.activations import *
from tensorflow.keras.models import *
from tensorflow.keras.optimizers import *
from tensorflow.keras.initializers import *
from tensorflow.keras.callbacks import *
from Dataset_class import MNIST
mnist = MNIST()
mnist.data_au... | 24.176471 | 66 | 0.720803 |
80b6a67f55372d0197387ea715fcea3cad3f27d3 | 305 | py | Python | config.py | dongdawang/ssrmgr | a9abedf8dc012bf6f421f95a1c215b5788f34322 | [
"MIT"
] | null | null | null | config.py | dongdawang/ssrmgr | a9abedf8dc012bf6f421f95a1c215b5788f34322 | [
"MIT"
] | 1 | 2021-06-01T22:59:31.000Z | 2021-06-01T22:59:31.000Z | config.py | dongjinhai/ssrmgr | a9abedf8dc012bf6f421f95a1c215b5788f34322 | [
"MIT"
] | 1 | 2019-09-24T09:37:52.000Z | 2019-09-24T09:37:52.000Z | # Webapi token
TOKEN_USERNAME = 'username'
TOKEN_PASSWORD = 'password'
WEBAPI_DOMAIN = 'http://www.djhmgr.top'
# WEBAPI_DOMAIN = 'http://127.0.0.1:8000'
#Node Information
NODE_ID = 3
MUDB_FILE = r'/usr/local/shadowsocksr/mudb.json'
MUDB_DATA_FILE = r'mudb_data.json'
HOST_DATA_FILE = r'host_data.json'
| 21.785714 | 48 | 0.747541 |
80cb573fb53cbacbdcb94f4bb8387416d6305bea | 22,292 | py | Python | app/image.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | 3 | 2021-02-25T13:19:52.000Z | 2021-03-03T03:46:46.000Z | app/image.py | MedPhyDO/pygqa | 580b2c6028d2299790a38262b795b8409cbfcc37 | [
"MIT"
] | null | null | null | app/image.py | MedPhyDO/pygqa | 580b2c6028d2299790a38262b795b8409cbfcc37 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
"""
__author__ = "R. Bauer"
__copyright__ = "MedPhyDO - Machbarkeitsstudien des Instituts für Medizinische Strahlenphysik und Strahlenschutz am Klinikum Dortmund im Rahmen von Bachelor und Masterarbeiten an der TU-Dortmund / FH-Dortmund"
__credits__ = ["R.Bauer", "K.Loot"]
__license__ = "M... | 33.371257 | 209 | 0.498026 |
03cd93d4dfb98af5e036d35fcf0d2bdd5c1191ee | 385 | py | Python | Theories/Algorithms/Recursion2/Combinations/combinations.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Theories/Algorithms/Recursion2/Combinations/combinations.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Theories/Algorithms/Recursion2/Combinations/combinations.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import List
def combine(self, n: int, k: int) -> List[List[int]]:
res = []
self.backtrack(n, k, res, [], 1)
return res
def backtrack(self, n: int, k: int, res: List[List[int]], path: List[int], index: int):
if len(path) == k:
res.append(path)
return
for i in range(in... | 24.0625 | 87 | 0.553247 |
206e72b46fd759b8aeb98285168a4a132a3c3dc9 | 275 | py | Python | Problems/Stack/Easy/MakeThingGreat/test_make_thing_great.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Stack/Easy/MakeThingGreat/test_make_thing_great.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Stack/Easy/MakeThingGreat/test_make_thing_great.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from unittest import TestCase
from make_thing_great import makeGood
class Test(TestCase):
def test_make_good(self):
self.assertEqual(makeGood("leEeetcode"), "leetcode")
self.assertEqual(makeGood("abBAcC"), "")
self.assertEqual(makeGood("s"), "s") | 34.375 | 60 | 0.701818 |
209eca24b3afd269a8a061cc2bc18a352adfe628 | 794 | py | Python | display/_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | from ._button_lights import ButtonLights
from ._display import Display
from ._ea_dip203j_3njw_lcd import EaDip203J4Nlw
class View:
_lcd = EaDip203J4Nlw()
def __init__(self, button_lights: ButtonLights):
self._button_ligts = button_lights
def name(self):
pass
def up(self, display: D... | 20.358974 | 75 | 0.641058 |
20ee61d63daa48c1a1fb408594669e471135a244 | 2,042 | py | Python | pandemie/util/analyse_log.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | null | null | null | pandemie/util/analyse_log.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | null | null | null | pandemie/util/analyse_log.py | marvinsxtr/informaticup-2020-pandemie | 0d37d5236eadfe7bb3cbd7cbfd0e1b7afca74c89 | [
"MIT"
] | 1 | 2020-03-28T00:02:41.000Z | 2020-03-28T00:02:41.000Z | from collections import defaultdict
import yaml
from pandemie.util.encoding import filter_unicode
def analyse(file):
"""
This function parses the given logfile and creates a statistic for each pathogen, how many games were lost and how
many games were won, when the specific pathogen occurred. This statist... | 31.90625 | 118 | 0.564153 |
455ecca411d6d4c19d67657a0996dc8c5a9d389d | 581 | py | Python | Crashkurs TensorFlow/04_Operatoren Perzeptron.py | slogslog/Kurzgeschichten-in-CSharp | 3918c4174220e558cdeeada0edac941811418b93 | [
"Unlicense"
] | 2 | 2019-03-15T20:48:34.000Z | 2019-04-22T15:24:09.000Z | Crashkurs TensorFlow/04_Operatoren Perzeptron.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | Crashkurs TensorFlow/04_Operatoren Perzeptron.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | # Unterdrückt die AVX2 Warnung
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
def perceptron_with_heaviside(x,w):
sum = tf.reduce_sum(tf.multiply(tf.constant(x, tf.dtypes.float32),
tf.constant(w, tf.dtypes.float32)))
# if
return tf.cond(tf.gre... | 25.26087 | 71 | 0.607573 |
ff6d2f319d4a79a649cd2ac86f7c9ce659f58025 | 1,325 | py | Python | Contrib-Inspur/openbmc/meta-security/lib/oeqa/runtime/cases/checksec.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Inspur/openbmc/meta-security/lib/oeqa/runtime/cases/checksec.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Inspur/openbmc/meta-security/lib/oeqa/runtime/cases/checksec.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | # Copyright (C) 2019 Armin Kuster <akuster808@gmail.com>
#
import re
from oeqa.runtime.case import OERuntimeTestCase
from oeqa.core.decorator.depends import OETestDepends
from oeqa.runtime.decorator.package import OEHasPackage
class CheckSecTest(OERuntimeTestCase):
@OEHasPackage(['checksec'])
@OETestDepends... | 38.970588 | 76 | 0.664906 |
5be42c3676e53efb50db0ab3f25d2a30ba3e88c5 | 1,055 | py | Python | challenges/magicalWell/python3/magicalWell.py | jimmynguyen/codefights | f4924fcffdb4ff14930618bb1a781e4e02e9aa09 | [
"MIT"
] | 5 | 2020-05-21T03:02:34.000Z | 2021-09-06T04:24:26.000Z | challenges/magicalWell/python3/magicalWell.py | jimmynguyen/codefights | f4924fcffdb4ff14930618bb1a781e4e02e9aa09 | [
"MIT"
] | 6 | 2019-04-24T03:39:26.000Z | 2019-05-03T02:10:59.000Z | challenges/magicalWell/python3/magicalWell.py | jimmynguyen/codefights | f4924fcffdb4ff14930618bb1a781e4e02e9aa09 | [
"MIT"
] | 1 | 2021-09-06T04:24:27.000Z | 2021-09-06T04:24:27.000Z | def magicalWell(a, b, n):
s = 0
while n > 0:
n -= 1
s += a*b
a += 1
b += 1
return s
if __name__ == '__main__':
input0 = [1, 1, 6, 1601, 1891, 1936, 957, 687, 491, 1275]
input1 = [2, 1, 5, 337, 352, 1835, 57, 1337, 1552, 362]
input2 = [2, 1, 3, 0, 0, 5, 2, 0, 4, 2]
expectedOutput = [8, 1, 128, 0, 0, 1780... | 50.238095 | 141 | 0.635071 |
1b47ee4560815c17fb3525e70bc1e933e6280349 | 491 | py | Python | python/en/_packages/mecab/src/mecab_basic_usage.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_packages/mecab/src/mecab_basic_usage.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_packages/mecab/src/mecab_basic_usage.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #! /usr/bin/python3
# -*- coding: utf-8 -*-
'''
mecab_basic_usage.py
* Draft: 2019-12-10(Tue)
src: mecab-python3 0.996.2
https://pypi.org/project/mecab-python3/
$ python mecab_basic_usage.py
python python python 名詞-固有名詞-組織
が ガ が 助詞-格助詞-一般
大好き ダイスキ 大好き 名詞-形容動詞語幹
です デス です 助動詞 特殊・デス 基本形
EOS
$
'''
import MeCab
wa... | 16.931034 | 44 | 0.680244 |
1b755da5d25b7cfb3ea0072bb07dd25e472e42d5 | 20,735 | py | Python | rev/brodyrev/solve.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | 6 | 2021-02-18T15:07:55.000Z | 2022-02-04T01:38:10.000Z | rev/brodyrev/solve.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | null | null | null | rev/brodyrev/solve.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | null | null | null | from z3 import *
def brute(x):
pass
LEN = 66
s = Solver()
a1 = [BitVec(i, 32) for i in range(LEN)]
# ========================================
a = [121, 123, 113, 131, 113, 57, 59, 123, 131, 105, 105, 131, 123, 131, 121, 57, 129, 131, 59, 131, 131, 121, 121, 57, 113, 121, 113, 123, 131, 57, 113, 113, 121, 131, 1... | 797.5 | 20,238 | 0.565662 |
848e18a66d6f1fd711b564befd5d27c7f9e45ab6 | 4,707 | py | Python | benchmarks/matbench_v0.1_modnet_v0.1.10/run.py | sparks-baird/matbench | 4424609454286e32fff2bcc724379b2a316c5a76 | [
"MIT"
] | 15 | 2021-11-01T09:02:19.000Z | 2022-03-19T10:59:41.000Z | benchmarks/matbench_v0.1_modnet_v0.1.10/run.py | sparks-baird/matbench | 4424609454286e32fff2bcc724379b2a316c5a76 | [
"MIT"
] | 62 | 2021-09-20T14:09:59.000Z | 2022-03-30T19:03:22.000Z | benchmarks/matbench_v0.1_modnet_v0.1.10/run.py | ardunn/matbench | 7d11a2d63766339ec00e610e2255be29b81544d3 | [
"MIT"
] | 4 | 2021-03-22T10:37:42.000Z | 2021-07-20T14:11:28.000Z | # This files serves only for illustrative purposes.
# The code used for the published results can be found in the following repo: https://github.com/ml-evs/modnet-matbench
from matbench.bench import MatbenchBenchmark
from matbench.constants import CLF_KEY
from modnet.preprocessing import MODData
from modnet.featurizer... | 33.147887 | 141 | 0.606968 |
ed8e49d12b57c74df896e565cf9b2cee8de0d75e | 8,208 | py | Python | Utils/py/ActionSelection/run_simulation_with_particleFilter.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/ActionSelection/run_simulation_with_particleFilter.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/ActionSelection/run_simulation_with_particleFilter.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import math
import copy
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.patches import Circle
from tools import action as a
from tools.action import Category
from tools import Simulation as Sim
from tools import potential_field as pf
from naoth import math2d as m2d
from tools import tools
from ... | 34.343096 | 127 | 0.599903 |
ed9e6263c108f19f4ddc273e63d99ed1a2775bff | 567 | py | Python | Uebung2/Uebung2_Aufgabe6_3.py | B0mM3L6000/EiP | f68718f95a2d3cde8ead62b6134ac1b5068881a5 | [
"MIT"
] | 1 | 2018-04-18T19:10:06.000Z | 2018-04-18T19:10:06.000Z | Uebung2/Uebung2_Aufgabe6_3.py | B0mM3L6000/EiP | f68718f95a2d3cde8ead62b6134ac1b5068881a5 | [
"MIT"
] | null | null | null | Uebung2/Uebung2_Aufgabe6_3.py | B0mM3L6000/EiP | f68718f95a2d3cde8ead62b6134ac1b5068881a5 | [
"MIT"
] | 1 | 2018-04-29T08:48:00.000Z | 2018-04-29T08:48:00.000Z | n = int(input("Welcher Wert für n?"))
j = 0
i = 1
zeilenbreite = n + (n-1)
while j < (n*2-1):
if j <= n-1: #dach wird hier gemacht
zeile = i+(i-1)
zeilenseite = int((zeilenbreite - zeile)/2)
print (zeilenseite*" ",end='')
print (zeile*"0", end='')
print (zeilenseite*" ")... | 25.772727 | 51 | 0.488536 |
94b0930fbb1c244a66f3d334ec5b62b40d5de799 | 12,827 | py | Python | pacman-arch/test/pacman/pmtest.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/pmtest.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/pmtest.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | # Copyright (c) 2006 by Aurelien Foret <orelien@chez.com>
# Copyright (c) 2006-2021 Pacman Development Team <pacman-dev@archlinux.org>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; eith... | 35.531856 | 86 | 0.562018 |
158f82756b1e79f87bee16adbb15aa9047f82393 | 3,872 | py | Python | src/compgen2/const.py | CorrelAid/compgen-ii-cgv | 810a044d6bbe1ce058a359115e3e5fc71a358549 | [
"MIT"
] | 1 | 2022-02-02T12:41:06.000Z | 2022-02-02T12:41:06.000Z | src/compgen2/const.py | CorrelAid/compgen-ii-cgv | 810a044d6bbe1ce058a359115e3e5fc71a358549 | [
"MIT"
] | null | null | null | src/compgen2/const.py | CorrelAid/compgen-ii-cgv | 810a044d6bbe1ce058a359115e3e5fc71a358549 | [
"MIT"
] | null | null | null | # ## Definitions
FILENAME_GOV_ITEMS = "gov_a_govitem.csv"
FILENAME_GOV_RELATIONS = "gov_a_relation.csv"
FILENAME_GOV_TYPENAMES = "gov_a_typenames.csv"
FILENAME_GOV_PROPERTY_NAMES = "gov_a_propertynames.csv"
FILENAME_GOV_PROPERTY_TYPES = "gov_a_propertytypes.csv"
FILENAME_VL = "deutsche-verlustlisten-1wk.parquet"
FILEN... | 14.666667 | 109 | 0.62345 |
ec79693660642993f32ec8a007c3a614cdac1e99 | 296 | py | Python | pages/themes/beginners/sequenceDataTypes/Tasks_and_HW/task2_Solution_with_append.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | pages/themes/beginners/sequenceDataTypes/Tasks_and_HW/task2_Solution_with_append.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | pages/themes/beginners/sequenceDataTypes/Tasks_and_HW/task2_Solution_with_append.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | first_names = ["ivan", "maria", "petar"]
sur_names = ["ivanov", "popova", "petrov"]
# names will store the third list. In the beginning it's empty:
names = []
# make the third list:
for i in range(len(first_names)):
names.append(first_names[i])
names.append(sur_names[i])
print(names)
| 22.769231 | 63 | 0.675676 |
ecbedea4cdbee3a3cc4ff27357b673334115b50b | 3,722 | py | Python | LFA/class_maestro.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 10 | 2020-12-08T20:18:15.000Z | 2021-06-07T20:00:07.000Z | LFA/class_maestro.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-06-28T03:42:13.000Z | 2021-06-28T16:53:13.000Z | LFA/class_maestro.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-01-14T19:59:20.000Z | 2021-06-15T11:53:21.000Z | from utils import header, nickname
class Maestro:
nicks = nickname("nickname")
time = 0
def __init__(self, factory_list):
self.factory_list = factory_list
self.list_words = [[] for factory_type in self.factory_list]
def set_words(self, words):
for word in words:
... | 34.462963 | 115 | 0.470446 |
bf2789eb7c2e21f69f04be3f1baad60a5bc9cf99 | 9,826 | py | Python | tests/onegov/fsi/test_views_course_event.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/fsi/test_views_course_event.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/fsi/test_views_course_event.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import timedelta
from sedate import utcnow
from onegov.fsi.models import CourseEvent
def test_course_event_collection(client):
view = '/fsi/events'
client.get(view, status=403)
client.login_member()
client.get(view)
def test_course_event_details(client_with_db):
client = client_... | 32.536424 | 77 | 0.679931 |
bf3c7a8b228dc5d989714c7eb024e0c82a73a657 | 2,620 | py | Python | src/visuanalytics/tests/analytics/transform/types/test_transform_sub_lists.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 3 | 2020-08-24T19:02:09.000Z | 2021-05-27T20:22:41.000Z | src/visuanalytics/tests/analytics/transform/types/test_transform_sub_lists.py | mxsph/Data-Analytics | c82ff54b78f50b6660d7640bfee96ea68bef598f | [
"MIT"
] | 342 | 2020-08-13T10:24:23.000Z | 2021-08-12T14:01:52.000Z | src/visuanalytics/tests/analytics/transform/types/test_transform_sub_lists.py | visuanalytics/visuanalytics | f9cce7bc9e3227568939648ddd1dd6df02eac752 | [
"MIT"
] | 8 | 2020-09-01T07:11:18.000Z | 2021-04-09T09:02:11.000Z | import unittest
from visuanalytics.tests.analytics.transform.transform_test_helper import prepare_test
class TestTransformSubLists(unittest.TestCase):
def setUp(self):
self.data = {
"words": ["Canada", "Argentina", "Cyprus", "Schweden", "Norway", "USA", "Germany",
"Unite... | 32.75 | 98 | 0.383969 |
da23535224c1d0a1cc60d21581291bec4769b90e | 1,630 | py | Python | py/utils/util.py | zjZSTU/GoogLeNet | a0801e45006d34b4901a8834397961ce17f24e2e | [
"Apache-2.0"
] | 1 | 2021-04-18T15:36:33.000Z | 2021-04-18T15:36:33.000Z | py/utils/util.py | zjZSTU/GoogLeNet | a0801e45006d34b4901a8834397961ce17f24e2e | [
"Apache-2.0"
] | null | null | null | py/utils/util.py | zjZSTU/GoogLeNet | a0801e45006d34b4901a8834397961ce17f24e2e | [
"Apache-2.0"
] | 3 | 2020-07-10T11:45:52.000Z | 2022-01-15T08:46:14.000Z | # -*- coding: utf-8 -*-
"""
@date: 2020/3/25 下午3:06
@file: util.py
@author: zj
@description:
"""
import os
import torch
import random
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator
def get_device():
return torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
def check... | 20.375 | 117 | 0.611656 |
e5d085ec4027a5447a78e62139472094d9521ce0 | 922 | py | Python | INBa/2015/Shirlin_V_V/task_6_32.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Shirlin_V_V/task_6_32.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Shirlin_V_V/task_6_32.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 6. Вариант 32
# Создайте игру, в которой компьютер загадывает название одного из двадцати восьми стран, входящих в Европейский союз, а игрок должен его угадать.
# 24.03.2016
# Ширлин Вячеслав Викторович
import random
print ("Программа загадывает название одного из двадцати восьми стран, входящих в Европейски... | 41.909091 | 300 | 0.697397 |
daab95b7d5967ef3b32387a7e1d4420885204708 | 1,468 | py | Python | Data-Structures/Linked_List/Circular_Linked_List/circular_linked_list.py | hussamEL-Hwary/DS-Algo-Handbook | 86a97d586a4ca8b17168c0a9f5a9f43f856eba58 | [
"MIT"
] | 18 | 2016-11-01T04:00:36.000Z | 2021-09-13T14:26:35.000Z | Data-Structures/Linked_List/Circular_Linked_List/circular_linked_list.py | JEERU/DS-Algo-Handbook | 86a97d586a4ca8b17168c0a9f5a9f43f856eba58 | [
"MIT"
] | 60 | 2016-10-11T14:50:47.000Z | 2016-10-31T11:05:01.000Z | Data-Structures/Linked_List/Circular_Linked_List/circular_linked_list.py | JEERU/DS-Algo-Handbook | 86a97d586a4ca8b17168c0a9f5a9f43f856eba58 | [
"MIT"
] | 87 | 2016-09-08T05:04:50.000Z | 2016-10-30T19:19:53.000Z | # Python program to demonstrate circular linked list traversal
# Structure for a Node
class Node:
# Constructor to create a new node
def __init__(self, data):
self.data = data
self.next = None
class CircularLinkedList:
# Constructor to create a empty circular linked list
... | 24.065574 | 63 | 0.581744 |
9745df931c17905243befbdd5e093c7594acc1f8 | 1,914 | py | Python | Lab3/Task[13-15].py | ValeriyMartsyshyn/HelloPython | badcf85bc54e889eed0286b420e5cabe68da8572 | [
"MIT"
] | null | null | null | Lab3/Task[13-15].py | ValeriyMartsyshyn/HelloPython | badcf85bc54e889eed0286b420e5cabe68da8572 | [
"MIT"
] | null | null | null | Lab3/Task[13-15].py | ValeriyMartsyshyn/HelloPython | badcf85bc54e889eed0286b420e5cabe68da8572 | [
"MIT"
] | null | null | null | """ Task 1
A simple way of encrypting a message is to rearrange its characters. One way to rearrange the characters is to pick out
the characters at even indices, put them first in the encrypted string, and follow them by the odd characters.
For example, the string message would be encrypted as msaeesg because the even... | 29.446154 | 132 | 0.636886 |
97545f97b368b39409414ebe0dd327ecbf455b1a | 11,877 | py | Python | Brendan/youtube.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | Brendan/youtube.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | Brendan/youtube.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | import discord
import logging
import json
from datetime import datetime as dt, timedelta as td
from discord.ext.commands import Bot
from discord.ext import commands
import asyncio
import requests as r
import os
import sys
from collections import namedtuple
from PIL import Image
from io import BytesIO
from random import... | 36.544615 | 159 | 0.734782 |
e725ea4f623cf24aba560e274642a00606b966ab | 170 | py | Python | python/python_backup/PRAC_PYTHON/ab11.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/ab11.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/ab11.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | #sum of power upto n
s=0
n=input("Enter range:");
j=1
for i in range(1,n,1):
print pow(j,j),
s=s+pow(j,j)
j=j+2
print "Sum is:",s
| 13.076923 | 25 | 0.470588 |
41676456ecf3a3ac96c6c7de96050031face1f05 | 6,065 | py | Python | ForwardEntnahmerate.py | ThoEngel/rentenplanung | 879c9a678ba1ff951a1f92b0c42673a7943a18e6 | [
"MIT"
] | 3 | 2022-01-01T18:24:46.000Z | 2022-01-08T15:28:46.000Z | ForwardEntnahmerate.py | ThoEngel/Finanzen-Simuliert | 879c9a678ba1ff951a1f92b0c42673a7943a18e6 | [
"MIT"
] | null | null | null | ForwardEntnahmerate.py | ThoEngel/Finanzen-Simuliert | 879c9a678ba1ff951a1f92b0c42673a7943a18e6 | [
"MIT"
] | null | null | null | '''
Mit der Forward-Entnahmerate steigert Jana ihr Budget um 38%
https://www.finanzen-erklaert.de/forward-entnahmerate/
'''
import pandas as pd
import time
from SEsimulation.mDate import mDate
from SEsimulation import SEsimulation
import numpy as np
import plotly.express as px
from tabulate import tabulate
import mu... | 32.783784 | 149 | 0.639571 |
d8669e54985a9d31f9d962a20f41f68c08d5c483 | 725 | py | Python | lib/python/qmk/tests/test_qmk_keymap.py | fzf/qmk_toolbox | 10d6b425bd24b45002555022baf16fb11254118b | [
"MIT"
] | null | null | null | lib/python/qmk/tests/test_qmk_keymap.py | fzf/qmk_toolbox | 10d6b425bd24b45002555022baf16fb11254118b | [
"MIT"
] | null | null | null | lib/python/qmk/tests/test_qmk_keymap.py | fzf/qmk_toolbox | 10d6b425bd24b45002555022baf16fb11254118b | [
"MIT"
] | null | null | null | import qmk.keymap
def test_template_onekey_proton_c():
templ = qmk.keymap.template('handwired/onekey/proton_c')
assert templ == qmk.keymap.DEFAULT_KEYMAP_C
def test_template_onekey_pytest():
templ = qmk.keymap.template('handwired/onekey/pytest')
assert templ == '#include QMK_KEYBOARD_H\nconst uint16... | 36.25 | 133 | 0.742069 |
d8f7781c29f13f21b4792c70e97c53ebf46940b3 | 12,195 | py | Python | MoPulseGen/simulator_for_CC.py | tushar-agarwal2909/MoPulseGen | a0edeaf67f956e7db27e70f07e47d2f992bcb6f3 | [
"BSD-2-Clause"
] | null | null | null | MoPulseGen/simulator_for_CC.py | tushar-agarwal2909/MoPulseGen | a0edeaf67f956e7db27e70f07e47d2f992bcb6f3 | [
"BSD-2-Clause"
] | null | null | null | MoPulseGen/simulator_for_CC.py | tushar-agarwal2909/MoPulseGen | a0edeaf67f956e7db27e70f07e47d2f992bcb6f3 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 10 08:03:15 2020
@author: agarwal.270a
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy import io
from scipy import signal as sig
from pathlib import Path
class Simulator(object):
def __init__(self,input_list,output_list):
... | 39.212219 | 153 | 0.553588 |
2b401edb93dce9200d59bae234d7cf1d61b26f8a | 15,898 | py | Python | tests/onegov/swissvotes/test_forms.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/swissvotes/test_forms.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/swissvotes/test_forms.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from cgi import FieldStorage
from datetime import date
from decimal import Decimal
from io import BytesIO
from onegov.swissvotes.collections import SwissVoteCollection
from onegov.swissvotes.collections import TranslatablePageCollection
from onegov.swissvotes.forms import AttachmentsForm
from onegov.swissvotes.forms im... | 28.800725 | 79 | 0.608316 |
5abe6d1c324111e861d4a1d6a3efa97321895287 | 425 | py | Python | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/06banco/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/06banco/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/06banco/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from banco import Banco
numero = input('Numero Conta: ')
nome = input('Nome: ')
deposito_inicial = input('Deseja fazer deposito inicial [S/N]? ').upper()
print(deposito_inicial)
if deposito_inicial[0] == 'S':
saldo = float(input('Valor deposito inicial: R$ '))
b1 = Banco(numero, nome, saldo)
print('Valo... | 25 | 83 | 0.665882 |
51a0b7f332cc2e75a7a65631e24c4688a9643e01 | 92 | py | Python | 2014/05/shevotes-world-parliaments/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/05/shevotes-world-parliaments/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/05/shevotes-world-parliaments/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 = '1rCyQ1hiT4-8nofJoMmXj07NiIoj4HBkisnhH0Y_ug1k'
| 23 | 68 | 0.836957 |
89103d0c157548a894dd58ee2640fa2408e53460 | 335 | py | Python | Flask-Redis/app.py | ruanzz/Dockerfiles | 00a630ba0a9a5a82500a3ad62b31637e3f2b9a1f | [
"Apache-2.0"
] | null | null | null | Flask-Redis/app.py | ruanzz/Dockerfiles | 00a630ba0a9a5a82500a3ad62b31637e3f2b9a1f | [
"Apache-2.0"
] | null | null | null | Flask-Redis/app.py | ruanzz/Dockerfiles | 00a630ba0a9a5a82500a3ad62b31637e3f2b9a1f | [
"Apache-2.0"
] | null | null | null | import socket
import os
app = Flask(__name__)
redis = Redis(host=os.environ.get("REDIS_HOST","127.0.0.1"),port= 6379)
@app.route("/hello")
def hello():
redis.incr("hits")
return "hostname[%s] visit %s times.\n" %redis.get("hits"),socket.gethostname
if __name__ == "__main__":
app.run(host="0.0.0.0",port=5... | 25.769231 | 81 | 0.671642 |
85340ad919aeb39592be2bd8c4e3018751f1af6d | 133 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 92/92.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 92/92.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 92/92.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #Count files with a .py extension inside the root1 directory]
import glob
file_list=glob.glob1("files","*.py")
print(len(file_list))
| 26.6 | 61 | 0.759398 |
a44bd1d4747c651a06003e81c24f1bb13c6fd49f | 2,139 | py | Python | 21-fs-ias-lec/03-BACnetCore/samples/communication_udp.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 21-fs-ias-lec/03-BACnetCore/samples/communication_udp.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 21-fs-ias-lec/03-BACnetCore/samples/communication_udp.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | from ..src.core.node import Node
from ..src.replication.udp_channel import UDPChannel
from ..src.core.com_link import OperationModes
from ..src.core.interface.event import Content
from ..src.core.storage.database_handler import UnknownFeedError
import sys
import time
"""
This sample shows how to import and export fee... | 33.421875 | 120 | 0.70547 |
f189e76d04e3e8a23d9b112b4a112a3b1e3aef61 | 50,526 | py | Python | paddlenlp/taskflow/utils.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/taskflow/utils.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/taskflow/utils.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # coding:utf-8
# Copyright (c) 2021 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 req... | 36.06424 | 157 | 0.503721 |
747a6423acb8bf06d32aa3269442132c13363a2e | 1,350 | py | Python | src/json_validator.py | ausgangssperre-io/ausgangssperre-io.github.io | 5421050b9e8293fd53346595052b2fa23dfed815 | [
"MIT"
] | 3 | 2020-03-21T19:54:27.000Z | 2020-03-29T16:23:34.000Z | src/json_validator.py | ausgangssperre-io/ausgangssperre-io.github.io | 5421050b9e8293fd53346595052b2fa23dfed815 | [
"MIT"
] | 6 | 2020-03-21T15:47:44.000Z | 2020-03-22T19:33:13.000Z | src/json_validator.py | ausgangssperre-io/ausgangssperre-io.github.io | 5421050b9e8293fd53346595052b2fa23dfed815 | [
"MIT"
] | 2 | 2020-03-21T11:48:09.000Z | 2020-03-21T20:17:44.000Z | # Run this with python3 -m unittest json_validator.py
import json
import unittest
class TestStringMethods(unittest.TestCase):
def setUp(self):
legal_req = open("../LegalTabelle.json")
self.y = json.load(legal_req)
def test_all_states_in_file(self):
print(self.y["Bundesländer"].keys())
self.assertTrue(len(... | 43.548387 | 302 | 0.735556 |
706f7f051369531d1f9a9c2de78f812d17c25548 | 289 | py | Python | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/time_elapsed.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/time_elapsed.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/time_elapsed.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | import time
def sum_of_n_numbers(n):
start_time = time.time()
s = 0
for i in range(1,n+1):
s=s+i
end_time=time.time()
return (end_time-start_time)
n=int(input("Enter the number : "))
print("\nTime to sum of 1 to ",n," and the required time to calculate : ",sum_of_n_numbers(n))
| 20.642857 | 94 | 0.681661 |
8ee136852e19e1fb3b81756b224f2a112fb4a578 | 11,478 | py | Python | jml.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 2 | 2020-09-24T12:11:16.000Z | 2022-03-31T04:47:24.000Z | jml.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 1 | 2021-02-27T15:06:27.000Z | 2021-03-01T16:32:48.000Z | jml.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 1 | 2021-02-24T05:12:35.000Z | 2021-02-24T05:12:35.000Z | #!/usr/bin/env python3
import os
import argparse
import shutil
import sys
import zipfile
parser = argparse.ArgumentParser(description='Compile java source files with special tags into a version with new content')
parser.add_argument('indir', metavar='IN',
help='project directory containting the sou... | 41.139785 | 270 | 0.533978 |
796d040686b22d5118edb4cc3cd11555db926a7e | 362 | py | Python | pacman-arch/test/pacman/tests/remove042.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/remove042.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/remove042.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Cascade remove a package required by another package"
lp1 = pmpkg("pkg1")
lp1.depends = ["imaginary"]
self.addpkg2db("local", lp1)
lp2 = pmpkg("pkg2")
lp2.provides = ["imaginary"]
self.addpkg2db("local", lp2)
self.args = "-Rc %s" % lp2.name
self.addrule("PACMAN_RETCODE=0")
self.addrule("!PKG_EXI... | 22.625 | 73 | 0.709945 |
5c3f42f758bc34fba27eaef3f253e010b5f48385 | 38 | py | Python | lib/python3.5/__future__.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | 1 | 2020-08-16T04:04:23.000Z | 2020-08-16T04:04:23.000Z | lib/python3.5/__future__.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | 5 | 2020-06-05T18:53:24.000Z | 2021-12-13T19:49:15.000Z | lib/python3.5/__future__.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | null | null | null | /usr/local/lib/python3.5/__future__.py | 38 | 38 | 0.815789 |
69074c975bb96c510bdeba9e034b72e10cb2b29c | 1,764 | py | Python | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_05_Kontrollstrukturen/13_kapitel_05_repetitionsaufgabe_12_math_trainer.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_05_Kontrollstrukturen/13_kapitel_05_repetitionsaufgabe_12_math_trainer.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_05_Kontrollstrukturen/13_kapitel_05_repetitionsaufgabe_12_math_trainer.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
###
# File: 13_kapitel_05_repetitionsaufgabe_12_math_trainer.py
# Project: Kapitel_05_Kontrollstrukturen
# Created Date: Sunday 24.02.2019, 10:26
# Author: Apop85
# -----
# Last Modified: Sunday 24.02.2019, 10:52
# -----
# Copyright (c) 2019 Apop85
# This software is publis... | 35.28 | 102 | 0.662132 |
690f688c1dbf86fadc5c975992ce1d68e571a6f4 | 2,618 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-libsumo.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-libsumo.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-libsumo.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2017-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 34.447368 | 104 | 0.703209 |
c605ea249898238526f505b38439126e6c033ede | 2,600 | py | Python | naivebayes.py | sabipu/Naive-Bayes-Classifier-Irish-Dataset | 8e22c9838fa3784424e91bffbbf837c44c410cd2 | [
"MIT"
] | null | null | null | naivebayes.py | sabipu/Naive-Bayes-Classifier-Irish-Dataset | 8e22c9838fa3784424e91bffbbf837c44c410cd2 | [
"MIT"
] | null | null | null | naivebayes.py | sabipu/Naive-Bayes-Classifier-Irish-Dataset | 8e22c9838fa3784424e91bffbbf837c44c410cd2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author: Bipu Bajgai & Sabharish Jayachandran
"""
# Author: Bipu Bajgai & Sabharish Jayachandran
# License: MIT
# To report a bug or contribute use following link
# https://github.com/sabipu/Naive-Bayes-and-Fuzzy-System-Iris-Dataset
#================
# LIBRARIES USED
#================
impo... | 27.083333 | 150 | 0.604231 |
ba8412fdfb2bb488f54a881a8d1ced0de635243a | 436 | py | Python | us1/python/spektral.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 2 | 2019-12-10T10:25:11.000Z | 2021-01-26T13:59:40.000Z | us1/python/spektral.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | null | null | null | us1/python/spektral.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 1 | 2020-12-06T21:24:58.000Z | 2020-12-06T21:24:58.000Z | import numpy as np
import matplotlib.pyplot as plt
from uncertainties import ufloat
import uncertainties.unumpy as unp
from scipy import optimize
import scipy.constants as const
from scipy.stats import sem
v, amp = np.genfromtxt('python/fftwerte.txt', unpack=True)
# print(len(v), len(amp))
plt.plot(v, amp, "b--", labe... | 22.947368 | 58 | 0.733945 |
032048a4d3cf4f2c1e58c24f222d16cfbfbfaf43 | 381 | py | Python | Online-Judges/HackerRank/Python/Find_a_string.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/HackerRank/Python/Find_a_string.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/HackerRank/Python/Find_a_string.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def count_substring(string, sub_string):
ct, i, j = 0, 0, len(sub_string)
ln = len(string)
while j <= ln:
if string[i:j] == sub_string:
ct += 1
i += 1
j += 1
return ct
if __name__ == '__main__':
string = input().strip()
sub_string = input().strip()
... | 21.166667 | 47 | 0.543307 |
0031674287d4c6dedd4ff80e7b07165761abbf98 | 1,693 | py | Python | .venv/Lib/site-packages/dexpy/samplers.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | 21 | 2016-10-19T18:13:03.000Z | 2021-11-02T13:58:31.000Z | .venv/Lib/site-packages/dexpy/samplers.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | 43 | 2016-10-11T20:56:28.000Z | 2020-08-20T16:39:38.000Z | .venv/Lib/site-packages/dexpy/samplers.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | 6 | 2017-12-22T03:47:37.000Z | 2021-03-13T03:45:26.000Z | """Contains several samplers."""
import numpy as np
def uniform_simplex_sample(N, q):
"""Returns an array of points sampled uniformly from a simplex
:param N: the number of random sample to be generated
:param q: the dimension of the simplex
"""
sample = np.random.exponential(1.0, (N, q))
row... | 31.351852 | 108 | 0.625517 |
cc40b3ae8390de063b5e98553c2ab47e67c9995d | 927 | py | Python | tests/nlu/emulators/test_no_emulator.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 5 | 2020-08-28T06:44:31.000Z | 2021-03-14T18:46:01.000Z | tests/nlu/emulators/test_no_emulator.py | alfredfrancis/rasa | d8d226408f20cc2563c3aefbccef3e364a447666 | [
"Apache-2.0"
] | 209 | 2020-03-18T18:28:12.000Z | 2022-03-01T13:42:29.000Z | tests/nlu/emulators/test_no_emulator.py | alfredfrancis/rasa | d8d226408f20cc2563c3aefbccef3e364a447666 | [
"Apache-2.0"
] | 3 | 2019-02-27T10:13:16.000Z | 2019-07-26T08:33:45.000Z | def test_dummy_request():
from rasa.nlu.emulators.no_emulator import NoEmulator
em = NoEmulator()
norm = em.normalise_request_json({"text": ["arb text"]})
assert norm == {"text": "arb text", "time": None}
norm = em.normalise_request_json({"text": ["arb text"], "time": "1499279161658"})
assert ... | 31.965517 | 85 | 0.665588 |
cc8ae0e119fd11ea9e92d6c7ac22917386ed58e3 | 792 | py | Python | RoundRobin Scheduling.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | null | null | null | RoundRobin Scheduling.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | null | null | null | RoundRobin Scheduling.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | 1 | 2020-09-30T18:53:05.000Z | 2020-09-30T18:53:05.000Z | from statistics import mean
n=int(input("Enter number of processes: "))
Bt=list(map(int, input("Enter burst time of processes: ").split()))
At=list(map(int, input("Enter arrival time of processes: ").split()))
TQ=int(input("Enter Time Quantum: "))
data=dict(zip(At,Bt))
dics=dict(sorted(data.items()))
at=[x for x... | 26.4 | 70 | 0.52399 |
3b0186d25280b966eec37af8ea49198430b78b36 | 8,280 | py | Python | research/cv/midas/infer/sdk/eval/eval_by_sdk.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/midas/infer/sdk/eval/eval_by_sdk.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/midas/infer/sdk/eval/eval_by_sdk.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... | 37.466063 | 120 | 0.61558 |
d1ec7c697e71d980e9a40a18ab171e5efb1f6bbf | 853 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v7_1/move_sales_invoice_from_parent_to_child_timesheet.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/v7_1/move_sales_invoice_from_parent_to_child_timesheet.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_1/move_sales_invoice_from_parent_to_child_timesheet.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
import frappe
def execute():
frappe.reload_doc('projects', 'doctype', 'timesheet_detail')
frappe.reload_doc('accounts', 'doctype', 'sales_invoice_timesheet')
frappe.db.sql(""" update
`tabTimesheet` as ts,
(select
sum(billing_amount) as billing_amount, sum(billing_... | 42.65 | 111 | 0.751465 |
4e8ec1c36db5e26f6f0d779bf464b326f164e05f | 362 | py | Python | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/01estoque/estoque.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/01estoque/estoque.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/01estoque/estoque.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | class Estoque():
def __init__(self, nome, preco, quantidade):
self.nome = nome
self.preco = preco
self.quantidade = quantidade
def total(self):
return self.preco * self.quantidade
def adicionar(self, valor):
self.quantidade += valor
def remover(self... | 25.857143 | 48 | 0.593923 |
14d077f582bb982dac0b93c0f5a948e5eb396f20 | 343 | py | Python | quark_core_api/data/storage/__init__.py | arcticle/Quark | 17aa5b5869a9e9c7a04c1a371fef5998f33dc319 | [
"MIT"
] | null | null | null | quark_core_api/data/storage/__init__.py | arcticle/Quark | 17aa5b5869a9e9c7a04c1a371fef5998f33dc319 | [
"MIT"
] | null | null | null | quark_core_api/data/storage/__init__.py | arcticle/Quark | 17aa5b5869a9e9c7a04c1a371fef5998f33dc319 | [
"MIT"
] | null | null | null | from quark_core_api.data.storage.validation import *
from quark_core_api.data.storage.query_operators import *
from quark_core_api.data.storage.query import *
from quark_core_api.data.storage.storage_object import *
from quark_core_api.data.storage.storage_factory import *
__all__ = ["FileStorage", "InMemoryStorage", ... | 49 | 68 | 0.836735 |
6deab12547da67092086e638ac44f0c5e4bad7a4 | 597 | py | Python | biowardrobe_airflow_advanced/operators/deseq_jobgatherer.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | null | null | null | biowardrobe_airflow_advanced/operators/deseq_jobgatherer.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | 1 | 2018-09-30T16:57:06.000Z | 2018-09-30T16:57:06.000Z | biowardrobe_airflow_advanced/operators/deseq_jobgatherer.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | null | null | null | import os
from cwl_airflow import CWLJobGatherer
from biowardrobe_airflow_advanced.utils.upload import upload_deseq_results, update_genelist_table_for_deseq
class DeseqJobGatherer(CWLJobGatherer):
def __init__(self, *args, **kwargs):
super(DeseqJobGatherer, self).__init__(task_id=self.__class__.__name__,... | 35.117647 | 107 | 0.755444 |
fec006721357d9745c3d65e838a4d140ea9bf030 | 1,297 | py | Python | codeit/oop/game_character.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/oop/game_character.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/oop/game_character.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | class GameCharacter:
# 게임 캐릭터 클래스
def __init__(self, name, hp, power):
self.name = name
self.hp = hp
self.power = power
def is_alive(self):
return self.hp > 0
def get_attacked(self, damage):
"""
게임 캐릭터가 살아있으면 공격한 캐릭터의 공격력만큼 체력을 깎는 메소드
조건:
... | 27.595745 | 59 | 0.609869 |
3aa6183f72a3c847af3cfa85a5299812f7b86d36 | 1,189 | py | Python | website/apps/projects/admin.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | 1 | 2017-03-14T08:08:31.000Z | 2017-03-14T08:08:31.000Z | website/apps/projects/admin.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | website/apps/projects/admin.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | from django.contrib import admin
from adminsortable2.admin import SortableAdminMixin
from projects.models import Project, Category
from fileupload.models import File
class CategoryAdmin(admin.ModelAdmin):
prepopulated_fields = {'slug': ('title',)}
admin.site.register(Category, CategoryAdmin)
class ProjectAdmin(... | 32.135135 | 94 | 0.654331 |
a3a3f52b661c9f7e7160d4b900745100ba023b4b | 1,162 | py | Python | components/amp-utility/python/I2C.py | ekmixon/AliOS-Things | 00334295af8aa474d818724149726ca93da4645d | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | components/amp-utility/python/I2C.py | ekmixon/AliOS-Things | 00334295af8aa474d818724149726ca93da4645d | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | components/amp-utility/python/I2C.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z | # * coding: UTF8 *
"""
=================================================================================================
"""
def open(type):
"""
打开并根据board.json配置实例
:param type: 对象类型
:returns: 0: 成功，其他: 失败
:raises OSError: EINVAL
"""
pass
def write(dataBuffer):
"""
发送数据，该函数为阻塞函数，I2C发送完成后... | 16.366197 | 97 | 0.57401 |
6e2b616123e817acb016d35fdf62615398e7edc5 | 859 | py | Python | app/models/flashcard_collections.py | kalbe09/Kicards | ad64cfa808307b10f98f95dbb8cf0350995c3afd | [
"MIT"
] | null | null | null | app/models/flashcard_collections.py | kalbe09/Kicards | ad64cfa808307b10f98f95dbb8cf0350995c3afd | [
"MIT"
] | null | null | null | app/models/flashcard_collections.py | kalbe09/Kicards | ad64cfa808307b10f98f95dbb8cf0350995c3afd | [
"MIT"
] | null | null | null | from datetime import datetime
from .. import db
from .hascategory import has_category
class Collection(db.Model):
__tablename__ = 'flashcardcollection'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(64), index=True)
duedate = db.Column(db.Text)
prio = db.Column(d... | 33.038462 | 83 | 0.614668 |
6e3da184bb8c96497e3d0bd2180e89a6cf668056 | 984 | py | Python | src/onegov/fsi/collections/course.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/fsi/collections/course.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/fsi/collections/course.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.collection import GenericCollection
from onegov.fsi.models.course import Course
class CourseCollection(GenericCollection):
def __init__(
self,
session,
auth_attendee=None,
show_hidden_from_public=False,
):
super().__init__(session)
... | 28.114286 | 69 | 0.646341 |
2896c93c77eba9a40de25fecb031490d195c7059 | 88 | py | Python | Shivani/sphere.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/sphere.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/sphere.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | r=int(input("enter radius\n"))
volume=(4*3.14*r*r*r)/3
print("volume of sphere",volume)
| 22 | 32 | 0.681818 |
253fa1c3aec54e5d4e6ab7847d65fd434a00b028 | 47 | py | Python | server/apps/movie/__init__.py | Mayandev/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 129 | 2019-04-20T08:23:25.000Z | 2022-03-14T10:02:23.000Z | server/apps/movie/__init__.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 9 | 2019-05-19T15:06:17.000Z | 2021-12-14T06:47:14.000Z | server/apps/movie/__init__.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 34 | 2019-05-06T06:37:17.000Z | 2021-12-09T02:27:58.000Z |
default_app_config = 'movie.apps.MovieConfig' | 15.666667 | 45 | 0.808511 |
c25eb82f9d0ab679fa5bcd959b7785f00260a7d5 | 1,138 | py | Python | setup.py | drcraig/concorde | 418b04d5bd93f541d3a0371b923700b767a03d29 | [
"MIT"
] | 2 | 2018-05-24T08:27:23.000Z | 2019-01-06T18:55:15.000Z | setup.py | drcraig/concorde | 418b04d5bd93f541d3a0371b923700b767a03d29 | [
"MIT"
] | 1 | 2017-05-20T10:05:49.000Z | 2017-08-09T05:57:45.000Z | setup.py | drcraig/concorde | 418b04d5bd93f541d3a0371b923700b767a03d29 | [
"MIT"
] | null | null | null | from setuptools import setup
def readme():
with open('README.rst') as f:
return f.read()
setup(name='concorde',
version='0.1.2',
description='Static site generator using Markdown and Jinja',
long_description=readme(),
classifiers=[
'Development Status :: 3 - Alpha',
... | 29.947368 | 69 | 0.582601 |
c271857c29b16a46721580bfd99b0e0f6861c023 | 89 | py | Python | python/pathlib/origin/cwd_home.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/pathlib/origin/cwd_home.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/pathlib/origin/cwd_home.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | from pathlib import Path
print(f'현재 디렉터리: {Path.cwd()}')
print(f'홈 디렉터리: {Path.home()}') | 22.25 | 31 | 0.662921 |
6c0a5c2c7aa9c90476cc7cb8131bfeb5cfd477c6 | 908 | py | Python | Packs/SafeBreach/Scripts/ListGroupBy/ListGroupBy_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/SafeBreach/Scripts/ListGroupBy/ListGroupBy_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/SafeBreach/Scripts/ListGroupBy/ListGroupBy_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 ListGroupBy import main as ListGroupBy
LIST_JOIN_INDICATORS = [{'insightIds': ['1', '2', '3'], 'value': 'value123', 'id': 1, 'name': 'someInsight 1'},
{'insightIds': ['1', '2', '3'], 'value': 'value123', 'id': 3, 'name': 'someInsight 3'},
... | 41.272727 | 111 | 0.555066 |
6c36d0245c2843a75e495fafc9ca73d0e897eaec | 192 | py | Python | api/main.py | singhprincejeet/in_poster | 1b0e18631ebede94e679eb0aba6c8e7630a02aba | [
"MIT"
] | null | null | null | api/main.py | singhprincejeet/in_poster | 1b0e18631ebede94e679eb0aba6c8e7630a02aba | [
"MIT"
] | 4 | 2021-04-30T21:09:19.000Z | 2022-03-12T00:19:12.000Z | api/main.py | singhprincejeet/in_poster | 1b0e18631ebede94e679eb0aba6c8e7630a02aba | [
"MIT"
] | null | null | null | from flask import send_file
from main_controller import MainController
def generate(request):
image_src = MainController().generate_image(request)
return send_file(image_src)
| 24 | 57 | 0.776042 |
dd93facdbcab5a65e88d4968a7548bdad069e131 | 2,633 | py | Python | MANGA.py | mcwimm/pyMANGA | 6c7b53087e53b116bb02f91c33974f3dfd9a46de | [
"MIT"
] | 1 | 2021-03-16T08:35:50.000Z | 2021-03-16T08:35:50.000Z | MANGA.py | mcwimm/pyMANGA | 6c7b53087e53b116bb02f91c33974f3dfd9a46de | [
"MIT"
] | 67 | 2019-11-14T11:29:52.000Z | 2022-03-09T14:37:11.000Z | MANGA.py | mcwimm/pyMANGA | 6c7b53087e53b116bb02f91c33974f3dfd9a46de | [
"MIT"
] | 6 | 2019-11-12T11:11:41.000Z | 2021-08-12T13:57:22.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import getopt
import sys
from os import path
from ProjectLib import XMLtoProject
from TimeLoopLib import TreeDynamicTimeStepping
import logging
class Model():
## Class to run the model from other programs
# @param project_file: path to pymanga project file.
... | 35.581081 | 78 | 0.638815 |
b02bb53460da55a36f3ab3b4ef1d1f37eb0f8873 | 5,778 | py | Python | python/oneflow/test/tensor/test_tensor_indexing.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 1 | 2021-09-13T02:34:53.000Z | 2021-09-13T02:34:53.000Z | python/oneflow/test/tensor/test_tensor_indexing.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | null | null | null | python/oneflow/test/tensor/test_tensor_indexing.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 1 | 2021-01-17T03:34:39.000Z | 2021-01-17T03:34:39.000Z | """
Copyright 2020 The OneFlow 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 applicable law or agr... | 35.231707 | 88 | 0.59017 |
c6ce151631adc6bb79f7d0ae84410236dc9cde33 | 2,037 | py | Python | components/py_engine/engine/genhdr/gen_qstr.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | components/py_engine/engine/genhdr/gen_qstr.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | components/py_engine/engine/genhdr/gen_qstr.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import re
import sys
import platform
if platform.python_version_tuple()[0] == '2':
bytes_cons = lambda val, enc=None: bytearray(val)
from htmlentitydefs import codepoint2name
elif platform.python_version_tuple()[0] == '3':
bytes_cons = bytes
from html.entities imp... | 34.525424 | 94 | 0.638193 |
af2220a132a1ae064f591aac3ff33e0bfc3ff1ba | 294 | py | Python | src/onegov/ticket/errors.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ticket/errors.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ticket/errors.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | class DuplicateHandlerError(Exception):
""" Raised when a handler with a duplicate id or shortcode exists. """
class InvalidStateChange(Exception):
""" Raised when an invalid state change is executed (e.g. closing an open
ticket without the intermediary 'pending' step).
"""
| 29.4 | 77 | 0.721088 |
af3195e454c8a266afcc7fc4845e1f6e91fd0323 | 623 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/52. given a list of words in the singular form, return a set of those words in the plural form.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/52. given a list of words in the singular form, return a set of those words in the plural form.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/52. given a list of words in the singular form, return a set of those words in the plural form.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | """
Given a list of words in the singular form,
return a set of those words in the plural form if they appear more than once in the list.
Example:
input_list = ["table", "chair", "chair", "chair","desk","desk"]
Expected output = ['table', 'desks', 'chairs']
"""
def pluralize(input_list):
lst = []
new = [... | 19.46875 | 89 | 0.516854 |
af75a2126d92f4c43314a5247af5f633b050d39a | 2,086 | py | Python | compaction/compact.py | bksureshkumar/spark | 2b6e60195c79b76a8c060b98f7f91d0a52db89c1 | [
"Apache-2.0"
] | null | null | null | compaction/compact.py | bksureshkumar/spark | 2b6e60195c79b76a8c060b98f7f91d0a52db89c1 | [
"Apache-2.0"
] | null | null | null | compaction/compact.py | bksureshkumar/spark | 2b6e60195c79b76a8c060b98f7f91d0a52db89c1 | [
"Apache-2.0"
] | null | null | null | from pyspark.sql import SparkSession
import pyspark.sql.functions as func
from pyspark.sql.functions import udf
from pyspark.sql.types import StringType
input_path = '/Users/sbalakrishnan/sothanai/python/compaction/sample_20.json'
# used for: compact by the date format
def convert_receive_time(receive_time):
dat... | 39.358491 | 133 | 0.806328 |
afcae9bad6e5989979ef5a7d913dbe80f66e4ea3 | 375 | py | Python | DarkRise/sh_code.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | DarkRise/sh_code.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | DarkRise/sh_code.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | #!/usr/bin/python2
import sys
if __name__ == "__main__":
if len(sys.argv) < 2:
print("usage : %s <file>\n" % (sys.argv[0],))
sys.exit(0)
shellcode = "\""
ctr = 1
maxlenght = 15
for b in open(sys.argv[1], "rb").read():
shellcode += "\\x" + b.encode("hex")
if ctr == maxlenght:
shellcode += "\"\n\""
... | 17.857143 | 47 | 0.554667 |
bbd4c6435578a4af21d7a240e482c5129ab836e1 | 392 | py | Python | backend/apps/iamstudent/forms_filter.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | 2 | 2020-03-28T13:56:39.000Z | 2020-03-29T10:16:12.000Z | backend/apps/iamstudent/forms_filter.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | 76 | 2020-03-27T21:53:04.000Z | 2020-03-30T20:27:43.000Z | backend/apps/iamstudent/forms_filter.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | null | null | null | from django import forms
from django.utils.translation import gettext_lazy as _
from .forms import form_labels
from .models_persistent_filter import StudentListFilterModel
class StudentListFilterModelForm(forms.ModelForm):
class Meta:
model = StudentListFilterModel
labels = form_labels
la... | 28 | 60 | 0.752551 |
a587cecef37725081919c639699085a57be7d33c | 4,179 | py | Python | instruments/Tektronix/channel_marker_skew/sync_bench.py | thepoole/Reports | 65b2f2911475b66e699cb9cf398c4b1e672cb46d | [
"MIT"
] | 1 | 2021-04-19T11:39:09.000Z | 2021-04-19T11:39:09.000Z | instruments/Tektronix/channel_marker_skew/sync_bench.py | thepoole/Reports | 65b2f2911475b66e699cb9cf398c4b1e672cb46d | [
"MIT"
] | 4 | 2018-07-30T15:09:35.000Z | 2021-11-16T08:11:58.000Z | instruments/Tektronix/channel_marker_skew/sync_bench.py | thepoole/Reports | 65b2f2911475b66e699cb9cf398c4b1e672cb46d | [
"MIT"
] | 2 | 2018-10-17T11:47:29.000Z | 2021-11-15T18:15:46.000Z | import sys
import os
import pickle
import glob
from statistics import mean
import matplotlib.pyplot as plt
from qcodes.instrument_drivers.Keysight.Infiniium import Infiniium
DATA_FOLDER = 'sync_bench_results'
def get_channel_results(scope: Infiniium):
scope.trigger_enabled(True)
scope.trigger_edge_source(... | 26.617834 | 75 | 0.620962 |
3c4deb29f26ff6053b91758b7b032a34b96e6618 | 1,996 | py | Python | Interview Preparation Kits/Interview Preparation Kit/Graphs/Find the Nearest Clone/find_nearest_clone.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Interview Preparation Kits/Interview Preparation Kit/Graphs/Find the Nearest Clone/find_nearest_clone.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Interview Preparation Kits/Interview Preparation Kit/Graphs/Find the Nearest Clone/find_nearest_clone.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the findShortest function below.
from collections import defaultdict
#
# For the weighted graph, <name>:
#
# 1. The number of nodes is <name>_nodes.
# 2. The number of edges is <name>_edges.
# 3. An edge exists between <name>_from[i] t... | 24.95 | 124 | 0.594689 |
5910a766f6c5deaf140405dd960344ff5c50d6a2 | 4,106 | py | Python | module/femagfunction.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | null | null | null | module/femagfunction.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | null | null | null | module/femagfunction.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | null | null | null | 'femagfunction.py'
'FEMAG-DC wird hier über Python angesteuert'
# FEMAG Funktion benötigt folgende Inputvariablen
import os, sys
import shutil
import time
import subprocess
import time
import numpy as np
class Femag:
def __init__(self,var,Lock):
self.var = var[0]
self.itter_num =... | 35.094017 | 140 | 0.57623 |
a711d132be08ca48f4a4b2cfad7f2ef8fa52aa14 | 544 | py | Python | python/generator_tricks_for_systemprogrammer/genreceive.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/generator_tricks_for_systemprogrammer/genreceive.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/generator_tricks_for_systemprogrammer/genreceive.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # genreceive.py
#
# A generator that yields connections to a TCP socket
import socket
def receive_connections(addr):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
s.bind(addr)
s.listen(5)
while True:
client = s.a... | 21.76 | 60 | 0.617647 |
59865bca2ecf8b0e52da10ef3915ab215678cb72 | 2,788 | py | Python | src/settings/settings.py | RobetSlovev39/AutoGraph | c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95 | [
"MIT"
] | null | null | null | src/settings/settings.py | RobetSlovev39/AutoGraph | c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95 | [
"MIT"
] | null | null | null | src/settings/settings.py | RobetSlovev39/AutoGraph | c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = os.environ['SECRET_KEY']
DEBUG = True
ALLOWED_HOSTS = ['*']
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contr... | 25.814815 | 91 | 0.695481 |
ab7d86d6599a9e9e34ccab9b57a48e4c8cd6d77b | 1,538 | py | Python | backend/app/core/security.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-11-04T17:06:07.000Z | 2021-11-04T17:06:07.000Z | backend/app/core/security.py | JamesNeumann/learning-by-annotations | c2b5e4b653eeb1c973aa5a7dad35ac8be18cb1ad | [
"MIT"
] | 21 | 2021-11-01T10:13:56.000Z | 2021-12-02T10:02:13.000Z | backend/app/core/security.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-12-16T18:20:55.000Z | 2021-12-16T18:20:55.000Z | from datetime import datetime, timedelta
from typing import Any, Union
from jose import jwt
from passlib.context import CryptContext
from app.core.config import settings
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
ALGORITHM = "HS256"
def create_access_token(
subject: Union[... | 28.481481 | 82 | 0.682055 |
557a66f92b0de5fb5cbd5f08b2a7eab9086848ba | 15,272 | py | Python | energielenker/energielenker/timesheet_manager.py | libracore/energielenker | 97169f2f7b21f636ab473c7561cc8e147c4b12ab | [
"MIT"
] | null | null | null | energielenker/energielenker/timesheet_manager.py | libracore/energielenker | 97169f2f7b21f636ab473c7561cc8e147c4b12ab | [
"MIT"
] | null | null | null | energielenker/energielenker/timesheet_manager.py | libracore/energielenker | 97169f2f7b21f636ab473c7561cc8e147c4b12ab | [
"MIT"
] | 1 | 2021-08-14T22:22:57.000Z | 2021-08-14T22:22:57.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2021, libracore AG and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils.data import today, now, get_datetime, add_to_date, nowdate, time_diff_in_hours
import json
@frappe.... | 36.978208 | 264 | 0.513947 |
f97d6d7ceb14463943a85a086fb06e44099d50a3 | 4,926 | py | Python | dqn/train.py | laituan245/Reinforcement-Learning-Dojo | 3187621c9188d72fe593ef69ecad6d1288889a51 | [
"MIT"
] | null | null | null | dqn/train.py | laituan245/Reinforcement-Learning-Dojo | 3187621c9188d72fe593ef69ecad6d1288889a51 | [
"MIT"
] | null | null | null | dqn/train.py | laituan245/Reinforcement-Learning-Dojo | 3187621c9188d72fe593ef69ecad6d1288889a51 | [
"MIT"
] | null | null | null | import gym
import torch
import argparse
import random
import numpy as np
from PIL import Image
from os.path import join
from model import Model
from utils import create_dir_if_not_exists, preprocess
from collections import deque
def create_parser():
# Creates a parser for command-line arguments.
parser = argp... | 42.465517 | 102 | 0.638652 |
34bbc411313a66f3518442fc10d59f7da7a63199 | 2,475 | py | Python | model/unet.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | model/unet.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | model/unet.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | 2 | 2021-02-03T04:34:26.000Z | 2021-02-03T06:32:48.000Z | import torch
import torch.nn as nn
import warnings
warnings.filterwarnings("ignore", category=UserWarning)
def double_conv(in_channels, out_channels):
return nn.Sequential(
nn.Conv2d(in_channels, out_channels, 3, padding=1),
nn.InstanceNorm2d(out_channels),
nn.LeakyReLU(inplace=True),
... | 26.902174 | 88 | 0.579798 |
34e1eb823f92a3ad7d30e08f7816495924b0b19c | 161 | py | Python | data_tests/saved__backend__py3.9/pythran/add_inline.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | data_tests/saved__backend__/pythran/add_inline.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | data_tests/saved__backend__py3.9/python/add_inline.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | def add(a, b):
return a + b
def use_add(n=10000):
tmp = 0
for _ in range(n):
tmp = add(tmp, 1)
return tmp
__transonic__ = ("0.3.2",)
| 12.384615 | 26 | 0.515528 |
55194ff29b6589fd7b52d68ef9d5cf30abc7af24 | 1,819 | py | Python | tests/miningPatternsTests.py | ameliecordier/IIK | 57b40d6b851a1c2369604049d1820e5b572c6227 | [
"MIT"
] | null | null | null | tests/miningPatternsTests.py | ameliecordier/IIK | 57b40d6b851a1c2369604049d1820e5b572c6227 | [
"MIT"
] | null | null | null | tests/miningPatternsTests.py | ameliecordier/IIK | 57b40d6b851a1c2369604049d1820e5b572c6227 | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
import random
from nose.tools import assert_equals
from datahandler import miningPatterns
class TestMiningPatterns:
patterns = []
nbTests = 15
@classmethod
def setup_class(cls):
print("")
print("Test de la classe MiningPatterns")
print("Lecture des ré... | 27.149254 | 83 | 0.614623 |
fd36634548f961b59bd08aeb72b64f7ef29c0fa7 | 4,302 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/net/net2kml.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/net/net2kml.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/net/net2kml.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2007-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 44.350515 | 114 | 0.621106 |
1f0b5c6303ad4867471a9089fe1449b81c559a26 | 9,586 | py | Python | svm.py | TakuKitamura/SVM | d5c9d95d767c8f5a6c522264cd3dd4e768c85bf9 | [
"MIT"
] | null | null | null | svm.py | TakuKitamura/SVM | d5c9d95d767c8f5a6c522264cd3dd4e768c85bf9 | [
"MIT"
] | null | null | null | svm.py | TakuKitamura/SVM | d5c9d95d767c8f5a6c522264cd3dd4e768c85bf9 | [
"MIT"
] | null | null | null | import os
import math
import numpy as np
import tensorflow as tf
from sklearn import preprocessing as pr
from matplotlib import pyplot as plt
from imblearn.over_sampling import SMOTE
# from flask import Flask, jsonify, abort, make_response, request
# import datetime
def return_kernel_estimator(data):
optimizer ... | 30.626198 | 154 | 0.677133 |
238d38786d23df422de96e25bead6ac91ad77d14 | 556 | py | Python | workshop_petstagram/workshop_petstagram/main/admin.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | 1 | 2022-03-03T10:16:14.000Z | 2022-03-03T10:16:14.000Z | workshop_petstagram/workshop_petstagram/main/admin.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | workshop_petstagram/workshop_petstagram/main/admin.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | from django.contrib import admin
from workshop_petstagram.main.models import Profile, Pet, PetPhoto
class PetInlineAdmin(admin.StackedInline):
model = Pet
@admin.register(Profile)
class ProfileAdmin(admin.ModelAdmin):
inlines = (PetInlineAdmin,)
list_display = ('id', 'first_name', 'last_name', 'date_of... | 23.166667 | 88 | 0.735612 |
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