hexsha stringlengths 40 40 | size int64 6 782k | ext stringclasses 7
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7f81cad269f4920002d56c47d0f77925f13fbaea | 1,164 | py | Python | Abiturklassen/Python/queue.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 2 | 2020-09-24T12:11:16.000Z | 2022-03-31T04:47:24.000Z | Abiturklassen/Python/queue.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 1 | 2021-02-27T15:06:27.000Z | 2021-03-01T16:32:48.000Z | Abiturklassen/Python/queue.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 1 | 2021-02-24T05:12:35.000Z | 2021-02-24T05:12:35.000Z | # -*- coding: utf-8 -*-
class Queue(object):
class QueueNode(object):
def __init__(self, pContent):
self._content = pContent
self._nextNode = None
def setNext(self, pNext):
self._nextNode = pNext
def getNext(self):
return self._nextNode
... | 24.25 | 46 | 0.515464 |
63fd495745a6172d50f8b9bec2eadfbe20720422 | 1,313 | py | Python | preprocessing/normalization.py | mWollenhaupt/Mask_R-CNN_3D-Buildings | 220f20b41a7290a01c0bb47672453e646254f8fc | [
"MIT"
] | 2 | 2021-05-20T22:49:28.000Z | 2021-06-16T06:35:07.000Z | preprocessing/normalization.py | mWollenhaupt/Mask_R-CNN_3D-Buildings | 220f20b41a7290a01c0bb47672453e646254f8fc | [
"MIT"
] | null | null | null | preprocessing/normalization.py | mWollenhaupt/Mask_R-CNN_3D-Buildings | 220f20b41a7290a01c0bb47672453e646254f8fc | [
"MIT"
] | null | null | null | import skimage.io
import skimage.filters
import numpy as np
def normalize(image, norm="uint8", kernel_size=3):
def normalize_to_uint16(image, steps_per_meter=3.): # No effect on training performance
image *= steps_per_meter
return image.astype(np.uint16)
def normalize_to_uint8(image): # 8 bit s... | 34.552632 | 91 | 0.643564 |
12041a8fb8071127366d271ce541a9754d588ecb | 862 | py | Python | 02_Turtle/turtle_grafik.py | kilian-funk/Python-Kurs | f5ef5a2fb2a875d2e80d77c1a6c3596a0e577d7f | [
"MIT"
] | null | null | null | 02_Turtle/turtle_grafik.py | kilian-funk/Python-Kurs | f5ef5a2fb2a875d2e80d77c1a6c3596a0e577d7f | [
"MIT"
] | null | null | null | 02_Turtle/turtle_grafik.py | kilian-funk/Python-Kurs | f5ef5a2fb2a875d2e80d77c1a6c3596a0e577d7f | [
"MIT"
] | null | null | null | from turtle import *
import time
stift = Turtle()
time.sleep(2)
for _ in range(4):
stift.forward(200)
stift.left(90)
stift.dot(20)
time.sleep(2)
stift.up()
stift.goto(0,-100)
stift.color("red")
stift.width(5)
stift.down()
for _ in range(9):
stift.forward(100)
stift.right(160)
time.sleep(2... | 15.962963 | 92 | 0.596288 |
f66b35a47301edcccf0f56558569efa7aedfc724 | 400 | py | Python | Chapter2_Python/NumpyIntro.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | Chapter2_Python/NumpyIntro.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | Chapter2_Python/NumpyIntro.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | import numpy as np
noten_py_list = [100, 89, 44, 78, 45, 23, 17]
noten_np_array = np.array(noten_py_list, dtype=np.int8)
print(noten_py_list)
print(noten_np_array)
noten_max = np.max(noten_np_array)
noten_min = np.min(noten_np_array)
print(noten_max)
print(noten_min)
noten_arg_max = np.argmax(noten_np_array)
noten... | 20 | 55 | 0.7875 |
143e9623d715579770f0c6edc763e5c4ade75e6d | 134 | py | Python | data_tests/assign_func_boost.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | data_tests/assign_func_boost.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | data_tests/assign_func_boost.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | from transonic import boost
def func(x: int):
return x ** 2
def func2(x: int):
return x ** 2
func_boosted = boost(func)
| 10.307692 | 27 | 0.626866 |
146866d37ae1a54202745da3964e44bb4063bfc8 | 8,567 | py | Python | pyntcloud/plot/voxelgrid.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/plot/voxelgrid.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/plot/voxelgrid.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | import os
import shutil
import numpy as np
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
try:
import pythreejs
except ImportError:
pythreejs = None
try:
from IPython.display import display
except ImportError:
display = None
try:
from IPython.display import IFrame
exce... | 35.110656 | 85 | 0.566593 |
210facd79f4dce2bf693c427abe932d38ebc5513 | 4,055 | py | Python | python_experiments/paper_figures/legacy/draw_dynamic_exp.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_experiments/paper_figures/legacy/draw_dynamic_exp.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_experiments/paper_figures/legacy/draw_dynamic_exp.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | import json
import matplotlib
import numpy as np
matplotlib.use("pdf")
import matplotlib.pyplot as plt
import os
from paper_figures.legacy.experimental_config import *
def ICDE_get_data_file(g_name, number_of_updates):
return ICDE14_DIR + g_name + "_%d.txt" % number_of_updates
def parse_dynamic_local_pushfil... | 34.65812 | 99 | 0.61307 |
2c285943e98c8fef8fd2e0ccd2f9d708379482a9 | 1,294 | py | Python | src/bo4e/com/externereferenz.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/com/externereferenz.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/com/externereferenz.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | """
Contains ExterenzeReferenz class
and corresponding marshmallow schema for de-/serialization
"""
import attr
from marshmallow import fields
from bo4e.com.com import COM, COMSchema
# pylint: disable=too-few-public-methods
@attr.s(auto_attribs=True, kw_only=True)
class ExterneReferenz(COM):
"""
Viele Dateno... | 34.052632 | 185 | 0.746522 |
25ddc691c5119f50ec6f7dbe08bc144d058ceebb | 424 | py | Python | verify/787.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | 2 | 2019-09-07T17:00:26.000Z | 2020-08-05T02:08:35.000Z | verify/787.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | null | null | null | verify/787.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | null | null | null | # Problem # : 787
# Created on : 2018-11-01 00:54:22
def Main():
while True:
x = []
x = list(map(int, input().split()))
# try:
# except:
# return
del x[-1]
mx = x[0]
for i in range(len(x)):
s = x[i]
for j in range(i, len(x)):
if i == j:
s = x[j]
... | 17.666667 | 39 | 0.424528 |
b397aaace0b118d8936161acd71043b34558322d | 112 | py | Python | Pythonjunior2020/Woche1/Aufgabe_1_2_2.py | Zeyecx/HPI-Potsdam | ed45ca471cee204dde74dd2c3efae3877ee71036 | [
"MIT"
] | null | null | null | Pythonjunior2020/Woche1/Aufgabe_1_2_2.py | Zeyecx/HPI-Potsdam | ed45ca471cee204dde74dd2c3efae3877ee71036 | [
"MIT"
] | null | null | null | Pythonjunior2020/Woche1/Aufgabe_1_2_2.py | Zeyecx/HPI-Potsdam | ed45ca471cee204dde74dd2c3efae3877ee71036 | [
"MIT"
] | null | null | null | # 1.2.2, Woche 1, Block 2, Aufgabe 2
print("Hallo \n Stella")
# Alternative
# print("Hallo")
# print("Stella") | 18.666667 | 36 | 0.642857 |
b3adfa0c1fdbcc0da68f598ad82dac3341bc03ad | 9,760 | py | Python | pythonProj/FZPython/pyquant/strategies/fzstrategy.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/pyquant/strategies/fzstrategy.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/pyquant/strategies/fzstrategy.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | 2 | 2019-04-10T10:05:00.000Z | 2021-11-24T17:17:23.000Z | # coding: utf8
import backtrader as bt
import backtrader.indicators as btind
import datetime
import argparse
import pandas as pd
from backtrader.analyzers import (SQN, AnnualReturn, TimeReturn, SharpeRatio,
TradeAnalyzer)
import pyquant.utils.utils as utils
import backtrader.analyzer... | 29.575758 | 129 | 0.555123 |
03d4934976be66855e4b76ac5123c723e4f48504 | 208 | py | Python | tests/onegov/qrcode/test_qrcode.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/qrcode/test_qrcode.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/qrcode/test_qrcode.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null |
from onegov.qrcode import QrCode
def test_qr_code_image():
img = QrCode.from_payload('https://seantis.ch')
path = '/tmp/qrcode.png'
with open(path, 'wb') as f:
f.write(img.getvalue())
| 18.909091 | 51 | 0.644231 |
ff0b64c9b66b8379b2bb292f37653994a8afedf8 | 1,284 | py | Python | src/mitglieder/funktions.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 1 | 2021-12-20T20:15:26.000Z | 2021-12-20T20:15:26.000Z | src/mitglieder/funktions.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | null | null | null | src/mitglieder/funktions.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | null | null | null |
# Attribut attr (string) wird aus request (POST-Request) entnommen und zurueckgegeben
# bei einem KeyError oder leerem String wird None zurueckgegeben
def getValue(request, attr):
"""
Entnimmt das Attribut attr aus request und verwendet dieses als Rückgabewert.
Aufgaben:
* Entnehmen des Attributs
... | 32.923077 | 143 | 0.696262 |
4586b3c6bca00842af67b0c090fa060f7648b12f | 634 | py | Python | V1/utils/filter.py | marsXyr/GESRL | 3d60dfd4ffa1e0ae24d64b09f431d8ee0a9b5c01 | [
"Apache-2.0"
] | null | null | null | V1/utils/filter.py | marsXyr/GESRL | 3d60dfd4ffa1e0ae24d64b09f431d8ee0a9b5c01 | [
"Apache-2.0"
] | null | null | null | V1/utils/filter.py | marsXyr/GESRL | 3d60dfd4ffa1e0ae24d64b09f431d8ee0a9b5c01 | [
"Apache-2.0"
] | null | null | null | import numpy as np
"""
State Filter: normalizes the input state
"""
class Filter(object):
def __init__(self, state_dim):
self.num = np.zeros(state_dim)
self.mean = np.zeros(state_dim)
self.mean_diff = np.zeros(state_dim)
self.var = np.zeros(state_dim)
def push(self, x):
... | 25.36 | 61 | 0.588328 |
affb96f55b4d5268f3bc2b643c023d950ef15454 | 7,219 | py | Python | main.py | roeetal/D.W.A | 352049c7e36b716c6344f95c0e369004646adaf4 | [
"MIT"
] | null | null | null | main.py | roeetal/D.W.A | 352049c7e36b716c6344f95c0e369004646adaf4 | [
"MIT"
] | null | null | null | main.py | roeetal/D.W.A | 352049c7e36b716c6344f95c0e369004646adaf4 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request
from flask_cors import CORS
from subprocess import Popen, PIPE
from collections import deque, defaultdict
from pattern.en import conjugate
import json
question_lists = []
answer_dict = defaultdict(list)
app = Flask(__name__)
CORS(app)
class Token:
def __init__(se... | 29.830579 | 89 | 0.583876 |
b31b5500f03e2e9a216504ecb8cc6364173c585d | 4,293 | py | Python | test/TestBase.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | null | null | null | test/TestBase.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 5 | 2020-01-18T21:10:46.000Z | 2020-01-25T20:58:19.000Z | test/TestBase.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 2 | 2020-01-18T17:36:50.000Z | 2020-01-22T16:52:08.000Z | import unittest
from BaseClasses import CollectionState, World
from Items import ItemFactory
class TestBase(unittest.TestCase):
world: World
_state_cache = {}
def get_state(self, items):
if (self.world, tuple(items)) in self._state_cache:
return self._state_cache[self.world, tuple(it... | 48.235955 | 116 | 0.630096 |
2ff713591998e2ed72eead48f9f439b6ddfb161d | 792 | py | Python | docs/API/Users_Guide/scripts/Authentication_Tokens.py | ZhenyuZ/gdc-docs | f024d5d4cd86dfa2c9e7d63850eee94d975b7948 | [
"Apache-2.0"
] | null | null | null | docs/API/Users_Guide/scripts/Authentication_Tokens.py | ZhenyuZ/gdc-docs | f024d5d4cd86dfa2c9e7d63850eee94d975b7948 | [
"Apache-2.0"
] | null | null | null | docs/API/Users_Guide/scripts/Authentication_Tokens.py | ZhenyuZ/gdc-docs | f024d5d4cd86dfa2c9e7d63850eee94d975b7948 | [
"Apache-2.0"
] | null | null | null | import requests
import json
import re
# This script will not work until $TOKEN_FILE_PATH is replaced with an actual path.
with open("$TOKEN_FILE_PATH","r") as token:
token_string = str(token.read().strip())
headers = {
'X-Auth-Token': token_string
}
data_endpt = 'https://api.gdc.cancer.gov... | 29.333333 | 84 | 0.708333 |
ff8e79d216adbf5b28b094f8894254d48b8922c1 | 345 | py | Python | src/Util.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | 7 | 2015-11-27T09:53:32.000Z | 2021-01-13T17:35:54.000Z | src/Util.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | null | null | null | src/Util.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | null | null | null | '''
Util.py
---
utility functions
'''
import cv
colours = [cv.RGB(0, 0, 255), cv.RGB(0, 255, 0), cv.RGB(255, 0, 0), cv.RGB(0, 255, 255), cv.RGB(255, 0, 255)]
util_color_index = 0
def getcolour():
global util_color_index
colour = colours[util_color_index]
util_color_index = (util_color_index + 1) % len(co... | 20.294118 | 109 | 0.655072 |
44647fadd27c060448c16afc11b51293d48859f7 | 2,643 | py | Python | Opt/Functions.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | Opt/Functions.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | Opt/Functions.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | import numpy as np
class Function:
""" The framework of target functions """
def __init__(self, n, **kwargs):
"""
:param n : Dimension of input vector
:param kwargs : May contain 'grad_eps' which will be used to calculate numerical gradient
"""
self.n = n
... | 37.225352 | 104 | 0.529323 |
446c4a22fb47373617262099242d9b2886c71a06 | 4,257 | py | Python | Liquid-experiments/batch/launcher.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | 2 | 2021-08-30T14:12:09.000Z | 2022-01-20T02:14:22.000Z | Liquid-experiments/batch/launcher.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | Liquid-experiments/batch/launcher.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | import random
def train(jm=None, api=None, seed=2020, case=None):
pass
def test(jm=None, api=None, seed=2020, case=''):
cases = [
"multi-random", "multi-spread", "multi-pack", "multi-topology-aware", "multi-batch",
"multi-k8s-default", "multi-k8s-affinity", "multi-k8s-kubeflow","multi-k8s-hived"
]... | 23.39011 | 87 | 0.563073 |
2be219b4e4440503f8cac9e5397a483183360726 | 6,042 | py | Python | 1_DeepLearning-Basics/07_MNIST_Dataset_Klassifikation/network.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 1_DeepLearning-Basics/07_MNIST_Dataset_Klassifikation/network.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 1_DeepLearning-Basics/07_MNIST_Dataset_Klassifikation/network.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import to_categorical
from plotting import *
# Dataset
(x_train, y_train), (x_test, y_test) = mnist.load_data()
# in float32 casten
x_train = x_train.astype(n... | 40.013245 | 109 | 0.643165 |
2bf95616ad5657f72c5d7d48f87fe2efa34c2d5f | 100 | pyde | Python | sketches/cuteplanet00/cuteplanet00.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/cuteplanet00/cuteplanet00.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/cuteplanet00/cuteplanet00.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | # Processing.py Grundgerüst
def setup():
size(640, 480)
def draw():
background(0, 80, 125) | 14.285714 | 27 | 0.64 |
a637224355165b1ce0ec456da591d04d437103a3 | 224 | py | Python | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/async_multi/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,045 | 2019-05-09T02:50:43.000Z | 2022-03-31T06:22:11.000Z | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/async_multi/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,468 | 2019-05-16T00:48:18.000Z | 2022-03-08T04:12:44.000Z | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/async_multi/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | import numpy as np
from gym.spaces import Discrete,Box,Dict,MultiBinary
action_space=Discrete(3)
observation_space=Dict({
"obs":Box(-np.inf,np.inf,shape=(6,9,3),dtype=np.float32),
"valid_action":MultiBinary(3)
})
| 20.363636 | 61 | 0.732143 |
a6fbb60bf5a7ecbf68632f2edff5c18be51a4336 | 11,460 | py | Python | Python/turnierkurier.py | Tamwyn/Turniermanagment | 489b3169f4d73ebe3fe68158befff82bf20fa80b | [
"MIT"
] | null | null | null | Python/turnierkurier.py | Tamwyn/Turniermanagment | 489b3169f4d73ebe3fe68158befff82bf20fa80b | [
"MIT"
] | null | null | null | Python/turnierkurier.py | Tamwyn/Turniermanagment | 489b3169f4d73ebe3fe68158befff82bf20fa80b | [
"MIT"
] | null | null | null | #coding=utf-8
#Setze das encoding auf utf-8 um spaetere Probleme umgehen zu koennen mit Sonderzeichen
#Importiere die Bibliotheken zur Darstellung von Daten und fuer MySQL
import mysql.connector
import datetime
import formatize #Formatiere die Ausgaben der SQL Query in eine nuetzliches Dateiformat (siehe formatize.py... | 41.978022 | 256 | 0.678621 |
5be73ccf708385f630ab57065c2a5025a3958652 | 628 | py | Python | 539-minimum-time-difference/539-minimum-time-difference.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 539-minimum-time-difference/539-minimum-time-difference.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 539-minimum-time-difference/539-minimum-time-difference.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def findMinDifference(self, timePoints: List[str]) -> int:
timePoints.sort()
output = 1440 # maximum minutes (24-hours)
first_h, first_m = timePoints[0].split(":")
prev = 60*int(first_h)+int(first_m)
for timePoint in timePoints[1:]:
h, m = timePoin... | 39.25 | 62 | 0.547771 |
5bf779d707766c352290925384dc4db1353c8e95 | 151 | py | Python | python/concurrency/tutorial/deadlock.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/concurrency/tutorial/deadlock.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/concurrency/tutorial/deadlock.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import threading
l = threading.Lock()
print('before first acquire')
l.acquire()
print('before second acquire')
l.acquire()
print('acquire lock twice') | 18.875 | 30 | 0.748344 |
1bc2ce92220db7220606e45269a5365f7f183ae6 | 4,724 | py | Python | sphinx/source/conf.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | null | null | null | sphinx/source/conf.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 1 | 2022-03-03T21:24:40.000Z | 2022-03-03T21:24:54.000Z | sphinx/source/conf.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 27.788235 | 190 | 0.614945 |
944130b4b33b159971365a511fb6022665dda79d | 867 | py | Python | src/bo4e/enum/oekolabel.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/enum/oekolabel.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/enum/oekolabel.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | # pylint: disable=missing-module-docstring
from bo4e.enum.strenum import StrEnum
class Oekolabel(StrEnum):
"""
Aufzählung der Labels für Öko-Strom von verschiedenen Herausgebern.
"""
ENERGREEN = "ENERGREEN" #: ENERGREEN
GASGREEN_GRUENER_STROM = "GASGREEN_GRUENER_STROM" #: GASGREEN_GRUENER_STROM... | 39.409091 | 80 | 0.732411 |
9460134a3dd7acc8187950613a043c807642953c | 987 | py | Python | backtest.py | millsmgb/cfdBacktester | 1958c401f189b90f3d106cb63c872b1aac925569 | [
"MIT"
] | null | null | null | backtest.py | millsmgb/cfdBacktester | 1958c401f189b90f3d106cb63c872b1aac925569 | [
"MIT"
] | null | null | null | backtest.py | millsmgb/cfdBacktester | 1958c401f189b90f3d106cb63c872b1aac925569 | [
"MIT"
] | null | null | null | # Author: Matthew Mills
# Copyright 2016
# Backtester
# Import date and time
from datetime import date, timedelta as td
# Import for oracle
from marketPriceOracle import PriceOracle
from webAPIOracle import WebAPIOracle
# Import CFD
from cfd import CFD
# Import Tests
from cfdTests import CFDTests
# Main method
d... | 19.352941 | 148 | 0.725431 |
849ac234a7f24bb2a0ff6f716193f17aba14ba20 | 624 | py | Python | utest/curve3_test.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | utest/curve3_test.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | utest/curve3_test.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | import unittest
import zencad
import numpy
import math
class Curve3(unittest.TestCase):
def setUp(self):
zencad.lazy.encache = False
zencad.lazy.decache = False
zencad.lazy.fastdo = True
def test_api(self):
a = zencad.interpolate([(0, 0, 0), (0, 0, 1)], [
... | 29.714286 | 68 | 0.567308 |
edf1be13e3e622d24a93cccdd6d15034a96c236d | 7,598 | py | Python | pizza/pizza.py | gray-adeyi/pizza | 659db6e85492903374416295cc3ca3a78584eccb | [
"MIT"
] | null | null | null | pizza/pizza.py | gray-adeyi/pizza | 659db6e85492903374416295cc3ca3a78584eccb | [
"MIT"
] | null | null | null | pizza/pizza.py | gray-adeyi/pizza | 659db6e85492903374416295cc3ca3a78584eccb | [
"MIT"
] | 1 | 2022-03-17T00:54:27.000Z | 2022-03-17T00:54:27.000Z | from typing import Type
import os
import json
import logging
from dataclasses import dataclass
import enum
logging.basicConfig(
level=logging.DEBUG,
format="[%(levelname)s] => `%(message)s` @ %(asctime)s"
)
logger = logging.getLogger(__name__)
logger.info("Logger is initialized...")
class Gender(enum.Enum):... | 25.843537 | 134 | 0.590419 |
fca9d04f1afe42d288b78cb66f7077c2a0e8a38e | 316 | py | Python | autojail/config/__init__.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/config/__init__.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/config/__init__.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | from .configurator import JailhouseConfigurator # noqa
from .wizard import ( # noqa
InmateConfigArgs,
InmateConfigWizard,
RootConfigArgs,
RootConfigWizard,
)
__all__ = [
"JailhouseConfigurator",
"RootConfigWizard",
"RootConfigArgs",
"InmateConfigArgs",
"InmateConfigWizard",
]
| 19.75 | 55 | 0.705696 |
94eca0142d4910f38179a3f34a4828df54c5e72f | 3,099 | py | Python | 7-assets/past-student-repos/_DS-Python/Algorithms-I-Notes-master/day2_work.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/_DS-Python/Algorithms-I-Notes-master/day2_work.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/_DS-Python/Algorithms-I-Notes-master/day2_work.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | def add_list(l):
# The sum of an empty list is 0
if l == []:
return 0
# print(f'Add {l[0]} to the sum of {l[1:]}.')
return l[0] + add_list(l[1:])
l = [1,2,3,4]
print(add_list(l)) # Should print 10
# add_list := element 0 + add_list(rest_of_list)
# Quick sort
sample = [5, 3, 9, 4, 8, 1, 7... | 28.694444 | 155 | 0.595999 |
7838407552c25d9c94dd94bbc708df886569b82a | 76 | py | Python | python/python_backup/PRAC_PYTHON/ra.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/ra.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/ra.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | c=input("enter a celsius temp")
f=((9*c)+160)/5
print "farenheit temp",f
| 19 | 32 | 0.644737 |
1790c2d93c828dcb2eb630f91c4a863e5c1abf28 | 3,263 | py | Python | test/test_npu/test_network_ops/test_addr.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_addr.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_addr.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... | 42.934211 | 109 | 0.645418 |
17a3a5c9f7af43d3bb156c2168867f01316ccd91 | 16,094 | py | Python | tests/onegov/notice/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/notice/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/notice/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import datetime
from datetime import timezone
from onegov.notice import OfficialNoticeCollection
from onegov.user import UserCollection
from onegov.user import UserGroupCollection
from transaction import commit
def test_notice_collection(session):
notices = OfficialNoticeCollection(session)
asse... | 32.912065 | 79 | 0.571331 |
bdc9bd308ed8f3ea85366697d021bf0c65213de7 | 2,495 | py | Python | spider/test1/test1/spiders/testmovie.py | shyorange/MovieWebsite | aaf3be332b9f944ea93fbd841e1758b4a11d4581 | [
"Apache-2.0"
] | null | null | null | spider/test1/test1/spiders/testmovie.py | shyorange/MovieWebsite | aaf3be332b9f944ea93fbd841e1758b4a11d4581 | [
"Apache-2.0"
] | null | null | null | spider/test1/test1/spiders/testmovie.py | shyorange/MovieWebsite | aaf3be332b9f944ea93fbd841e1758b4a11d4581 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
import copy;
from ..items import Test1Item;
"""爬取电影天堂的爬虫"""
class TestmovieSpider(scrapy.Spider):
name = 'testmovie'
allowed_domains = ['dytt8.net','ygdy8.net']
start_urls = ['http://www.ygdy8.net/html/gndy/dyzz/index.html','http://www.ygdy8.net/html/gndy/china/index.... | 39.603175 | 314 | 0.56513 |
e5485d5611c23574756698819310419850f476fe | 11,544 | py | Python | hihope_neptune-oh_hid/00_src/v0.1/test/xts/tools/lite/build/suite.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.3/test/xts/tools/lite/build/suite.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.3/test/xts/tools/lite/build/suite.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright (c) 2021 Huawei Device 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 requ... | 40.222997 | 79 | 0.592429 |
f9282f4c87cd4d966b67de32c6488c0b1b84ca47 | 11,630 | py | Python | wz/tables/simple_ods_reader.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | wz/tables/simple_ods_reader.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | wz/tables/simple_ods_reader.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | ### python >= 3.7
# -*- coding: utf-8 -*-
"""
tables/simple_ods_reader.py
Last updated: 2021-01-05
OdsReader:
Read the data from the sheets of an ods-file ignoring all formatting and
style information.
An ods-file is a zipped archive, the content is found in the file
member file "content.xml".
=+LICENCE===========... | 35.565749 | 80 | 0.538435 |
dad69803e4e1ae0502525fe5fa268e81ded404eb | 2,655 | py | Python | frappe-bench/env/lib/python2.7/site-packages/stdnum/ee/registrikood.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/ee/registrikood.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/ee/registrikood.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # registrikood.py - functions for handling the Estonian Registrikood
# coding: utf-8
#
# Copyright (C) 2017 Holvi Payment Services
# Copyright (C) 2017 Arthur de Jong
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by ... | 31.987952 | 74 | 0.732957 |
97b3e369a251e806d83b9b3b6c46fd63d8c52cad | 551 | py | Python | IVTa/2014/MOSHKOV_Y_O/task_6_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/MOSHKOV_Y_O/task_6_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/MOSHKOV_Y_O/task_6_23.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 6. Вариант 23
# Создайте игру, в которой компьютер загадывает название одного
# из семи дней недели, а игрок должен его угадать.
# Moshkov Y. O.
# 31.03.2016
import random
week = ["Понедельник", "Вторник", "Среда",
"Четверг", "Пятница", "Суббота", "Воскресенье"]
number = random.randint(0, 6)
day = week[num... | 27.55 | 64 | 0.678766 |
416e98934c1642e339cb27dc425f66bd0138f74e | 4,589 | py | Python | python_lib/hucon/EventSystem.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 2 | 2019-09-25T13:39:22.000Z | 2019-09-26T10:06:13.000Z | python_lib/hucon/EventSystem.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 44 | 2019-09-25T14:35:48.000Z | 2021-08-20T17:26:12.000Z | python_lib/hucon/EventSystem.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 8 | 2019-09-25T13:53:07.000Z | 2022-02-24T19:23:44.000Z | #!/usr/bin/env python
""" __init__.py - The event system is using SIGRT signals from linux.
Copyright (C) 2019 Basler AG
All rights reserved.
This software may be modified and distributed under the terms
of the BSD license. See the LICENSE file for details.
"""
import signal
import tempfile
import o... | 33.014388 | 161 | 0.579429 |
6b517fa5d9308c88ee26de9e6cf56bc9455c8948 | 13,161 | py | Python | respiratory/Processed Datasets/Processed Datasets/uptoweek9.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 2 | 2020-06-08T19:17:10.000Z | 2020-06-08T20:45:07.000Z | respiratory/Processed Datasets/Processed Datasets/uptoweek9.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 14 | 2015-10-07T09:31:50.000Z | 2022-02-23T07:34:10.000Z | respiratory/Processed Datasets/Processed Datasets/uptoweek9.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | null | null | null | # Finding coefficients in ranking algorithm by comparing results to actual ranking
# Improvements to make
# 1) use enumerate to remove arguments from functions.
# 2) *Consider exercises that were completed more often to be easier and others more difficult (a lot of error here).*
# 3) Implement householder QR decomp... | 31.713253 | 214 | 0.673733 |
6b980199e25046a17ca3c04b222ae4fbbab2d3eb | 1,582 | py | Python | deutschland/bundesnetzagentur/rufzeichen.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | 445 | 2021-07-26T22:00:26.000Z | 2022-03-31T08:31:08.000Z | deutschland/bundesnetzagentur/rufzeichen.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | 30 | 2021-07-27T15:42:23.000Z | 2022-03-26T16:14:11.000Z | deutschland/bundesnetzagentur/rufzeichen.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | 28 | 2021-07-27T10:48:43.000Z | 2022-03-26T14:31:30.000Z | import requests
from bs4 import BeautifulSoup
class Rufzeichen(object):
def get(self, callsign):
"""
Gibt informationen über den Inhaber sowie Lizenzklasse und Betriebsort
eines Amateurfunkrufzeichens zurück.
"""
r = requests.get("https://ans.bundesnetzagentur.de/amateurfun... | 36.790698 | 88 | 0.513906 |
d406ea1c592fb9f9509957fb0a5a92a74bb5e4ec | 2,934 | py | Python | models/hr_holidays_status.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | null | null | null | models/hr_holidays_status.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | null | null | null | models/hr_holidays_status.py | aroodooteam/aro_hr | bf26f026593493486b4b5c13b26b9b47b9fe3825 | [
"BSD-2-Clause"
] | 3 | 2017-09-11T08:02:11.000Z | 2020-04-04T08:13:23.000Z | # -*- coding: utf-8 -*-
from openerp import models, api, fields
import logging
_logger = logging.getLogger(__name__)
class HrHolidaysStatus(models.Model):
_inherit = "hr.holidays.status"
@api.multi
def get_days(self, employee_id, context=None):
result = dict((holiday.id,
... | 43.791045 | 78 | 0.566803 |
2e0959f2b06efe25e0345b03d1ca90f32f6e9293 | 1,442 | py | Python | py-basics/src/lectures/tuples-sets/duplicates.py | AndrasTarlos/s4f | bfe2d631a9a2715953d8ac5ddc8ef97d3cefb426 | [
"CC0-1.0"
] | null | null | null | py-basics/src/lectures/tuples-sets/duplicates.py | AndrasTarlos/s4f | bfe2d631a9a2715953d8ac5ddc8ef97d3cefb426 | [
"CC0-1.0"
] | null | null | null | py-basics/src/lectures/tuples-sets/duplicates.py | AndrasTarlos/s4f | bfe2d631a9a2715953d8ac5ddc8ef97d3cefb426 | [
"CC0-1.0"
] | 4 | 2021-12-13T15:52:00.000Z | 2022-03-28T13:54:53.000Z | # 6kyu | Duplicates. Duplicates Everywhere.
# https://www.codewars.com/kata/5e8dd197c122f6001a8637ca/python
def remove_duplicate_ids(obj):
def convert_to_int(text):
return int(text)
def sort_keys(keys):
# https://www.w3schools.com/python/ref_func_sorted.asp
return sorted(keys, key=con... | 30.680851 | 128 | 0.462552 |
2e2e25602afdaf837f013eaeff47527c63f134f6 | 1,723 | py | Python | Python Stuff/LCD_Funktionen/BOOT.py | Hyperfluff/tic_motion | b7856bc2a14f7683c8cacdafda32ebaff8be8e5b | [
"MIT"
] | 1 | 2020-12-07T09:39:20.000Z | 2020-12-07T09:39:20.000Z | Python Stuff/LCD_Funktionen/BOOT.py | Hyperfluff/tic_motion | b7856bc2a14f7683c8cacdafda32ebaff8be8e5b | [
"MIT"
] | null | null | null | Python Stuff/LCD_Funktionen/BOOT.py | Hyperfluff/tic_motion | b7856bc2a14f7683c8cacdafda32ebaff8be8e5b | [
"MIT"
] | null | null | null | from Adafruit_CharLCD import Adafruit_CharLCD
import Adafruit_GPIO.PCF8574 as PCF
import RPi.GPIO as GPIO
import time
LCD = PCF.PCF8574(address=0x27)
LCD.setup(5,0)
LCD.output(5,0)
# Deklariert welche PCF-Pins mit welchem LCD-Pin verbunden sind.
lcd_rs = 4 # RegisterSelect Pin des LCDs ist an GPIO4
lcd_en = 7 # Enable ... | 31.907407 | 76 | 0.761463 |
5ac066b809e824760ba6236112c5c53487cc5d29 | 609 | py | Python | exercises/fr/solution_01_11.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/fr/solution_01_11.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/fr/solution_01_11.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
# Importe le Matcher
from spacy.matcher import Matcher
nlp = spacy.load("fr_core_news_sm")
doc = nlp("Le constructeur Citröen présente la e-Méhari Courrèges au public.")
# Initialise le matcher avec le vocabulaire partagé
matcher = Matcher(nlp.vocab)
# Crée un motif qui recherche les deux tokens : "e-M... | 29 | 79 | 0.737274 |
51f78b82296caf731714b2cc780b8b0da112cd5b | 1,033 | py | Python | CodeStatistics/settings.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | CodeStatistics/settings.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | CodeStatistics/settings.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@Datetime: 2018/12/25
@Author: Zhang Yafei
"""
from DBUtils.PooledDB import PooledDB
import pymysql
SALT = 'zhang'
SECRET_KEY = 'sdasdadsadsfsdsds'
MAX_CONTENT_LENGTH = 1024 * 1024 * 7
POOL = PooledDB(
creator=pymysql, # 使用链接数据库的模块
maxconnections=6, # 连接池允许的最大连接数,0和None表示不限制连接数
... | 32.28125 | 161 | 0.692159 |
56b8f45937e9b4bafd2f0ff855bc05e2a6232322 | 105,027 | py | Python | Python/pyBitwiseAutomation/autogenPela.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | Python/pyBitwiseAutomation/autogenPela.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | Python/pyBitwiseAutomation/autogenPela.py | jimwaschura/Automation | f655feeea74ff22ebe44d8b68374ba6983748f60 | [
"BSL-1.0"
] | null | null | null | # autogenPega.py
# ================================================================================
# BOOST SOFTWARE LICENSE
#
# Copyright 2020 BitWise Laboratories Inc.
# Original Author.......Jim Waschura
# Contact...............info@bitwiselabs.com
#
# Permission is hereby granted, free of charge, to any person or o... | 32.216871 | 98 | 0.579946 |
85a4eddd422dc862024afd3aafaf0a6a0f5d810c | 891 | py | Python | PMIa/2015/ANDROS_D_A/task_4_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2015/ANDROS_D_A/task_4_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2015/ANDROS_D_A/task_4_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 4.Вариант 2.
# Напишите программу, которая выводит имя, под которым скрывается Михаил Евграфович Салтыков. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти). Для хранения все... | 63.642857 | 447 | 0.813692 |
77a35929c836f8735df8589942e920aa85713bf9 | 3,739 | py | Python | packages/watchmen-meta/src/watchmen_meta/admin/user_group_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-meta/src/watchmen_meta/admin/user_group_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-meta/src/watchmen_meta/admin/user_group_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import List, Optional
from watchmen_meta.common import TupleService, TupleShaper
from watchmen_model.admin import UserGroup
from watchmen_model.common import DataPage, Pageable, TenantId, UserGroupId
from watchmen_storage import ColumnNameLiteral, EntityCriteriaExpression, EntityCriteriaJoint, \
EntityCri... | 40.204301 | 113 | 0.779353 |
7076a6ef4df00169ed37a1b94520e9949774da9e | 1,057 | py | Python | Nucleo/smain_Debug.py | Jonatan966/SODA | 046d8c1e7b9bac3a555526c9fe2f365c2b338aca | [
"MIT"
] | null | null | null | Nucleo/smain_Debug.py | Jonatan966/SODA | 046d8c1e7b9bac3a555526c9fe2f365c2b338aca | [
"MIT"
] | null | null | null | Nucleo/smain_Debug.py | Jonatan966/SODA | 046d8c1e7b9bac3a555526c9fe2f365c2b338aca | [
"MIT"
] | null | null | null | from .smain_Variaveis import *
variaveis = vars()
def soda_DEBUG():
sMain_Avisos().Resposta('Voce esta agora no menu DEBUG')
while True:
q = sMain_Saidas().Prompt('DEBUG')
if q == 'SAIR' or q == 'VOLTAR' or q == 'QUIT':
break
elif q == 'SYS.PATH' or q == '0':
... | 30.2 | 102 | 0.561022 |
565c0d68cc28c52416c150e94db876f922de9ff2 | 1,395 | py | Python | src/onegov/town6/views/event.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/event.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/views/event.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null |
from onegov.core.security import Public
from onegov.event import Event, OccurrenceCollection
from onegov.org.views.event import event_form as org_event_form, \
handle_new_event, view_event, handle_edit_event
from onegov.town6 import TownApp
from onegov.town6.forms.event import EventForm
from onegov.town6.layout im... | 24.473684 | 66 | 0.731183 |
8ee9890462be7f2ea9f6d311b1682b61f754428c | 2,690 | py | Python | test/unit/group_wavelet_test.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | test/unit/group_wavelet_test.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | test/unit/group_wavelet_test.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | #
# RawIO
# Copyright (c) 2021 Yusuf Olokoba.
#
from pathlib import Path
from PIL import Image
from pytest import fixture, mark
from rawio.grouping import group_exposures, wavelet_similarity
def test_group_wavelet_ambient_a (): # fails, on brightest exposure
exposure_paths = [
"test/media/group/6.jp... | 33.209877 | 110 | 0.651673 |
79de0e36cd71e68ca4096aa234243e276982458d | 1,307 | py | Python | Python/Buch_ATBS/Teil_2/Kapitel_12_Arbeiten_mit_Excel-Sheets/08_vertikale_zu_horizontale_anordnung/08_vertikale_zu_horizontale_anordnung.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_2/Kapitel_12_Arbeiten_mit_Excel-Sheets/08_vertikale_zu_horizontale_anordnung/08_vertikale_zu_horizontale_anordnung.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_2/Kapitel_12_Arbeiten_mit_Excel-Sheets/08_vertikale_zu_horizontale_anordnung/08_vertikale_zu_horizontale_anordnung.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # 08_uebung_einträge_vertikale_zu_hotizontale_anordnung.py
# In dieser Übung geht es darum Einträge einer Tabelle die Vertikal geordnet
# sind horizontal auszurichten
import openpyxl, os
os.chdir(os.path.dirname(__file__))
example_file='.\\example.xlsx'
target_file='.\\output.xlsx'
if os.path.exists(target_file):
... | 31.119048 | 88 | 0.776588 |
5c0774af2cb26c36d3e0be56585b14cccbc94ec5 | 1,269 | py | Python | bridges/models/crnn/utils.py | ChristianKitte/Textextraktion-und-Einordnung-mit-Hilfe-neuronaler-Netze | 53d3fc6b1c17f31146741cdebd743f4aa12a09e0 | [
"MIT"
] | null | null | null | bridges/models/crnn/utils.py | ChristianKitte/Textextraktion-und-Einordnung-mit-Hilfe-neuronaler-Netze | 53d3fc6b1c17f31146741cdebd743f4aa12a09e0 | [
"MIT"
] | 16 | 2020-01-28T23:04:13.000Z | 2022-03-12T00:02:40.000Z | bridges/models/crnn/utils.py | ChristianKitte/Textextraktion-und-Einordnung-mit-Hilfe-neuronaler-Netze | 53d3fc6b1c17f31146741cdebd743f4aa12a09e0 | [
"MIT"
] | null | null | null | """
This file contains source code from another GitHub project. The comments made there apply. The used
source code is licensed under the MIT License. The license text and a detailed reference can be
found in the license subfolder. Many thanks to the author of the code.
For reasons of clarity unneeded parts of the ori... | 38.454545 | 119 | 0.692671 |
d69b440d29d47ebdb0e600b81260d9da5378e3fa | 1,864 | py | Python | packages/watchmen-rest-doll/src/watchmen_rest_doll/meta_import/pipeline_import_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/meta_import/pipeline_import_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/meta_import/pipeline_import_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import List
from fastapi import APIRouter, Depends
from starlette.responses import Response
from watchmen_auth import PrincipalService
from watchmen_meta.admin import PipelineService
from watchmen_meta.common import ask_meta_storage, ask_snowflake_generator
from watchmen_model.admin import Pipeline, Pipel... | 39.659574 | 109 | 0.821352 |
ba3d38e768a732d154e297b7eec01e19b3e6da61 | 1,806 | py | Python | Python/Programação_em_Python_Essencial/6- Funções/args.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Programação_em_Python_Essencial/6- Funções/args.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Programação_em_Python_Essencial/6- Funções/args.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | """
Entendendo o *args
- O *args é um parâmetro, como outro qualquer. Isso significa que você poderá
chamar de qualquer coisa, desde que começe com asterísco *.
Exemplo:
*xis
Mas por convenção, utilizamos *args para definí-lo.
Mas o que é o *args?
O parâmetro *args utilizado em uma função, coloca os valores extr... | 23.454545 | 86 | 0.723699 |
ba5f24fa1c737c5a44b60eee6f400685c1be9ad6 | 421 | py | Python | exercises/pt/exc_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/pt/exc_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/pt/exc_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.tokens import Token
nlp = spacy.blank("pt")
# Definir o atributo "is_country" com o valor padrão como falso (False)
____.____(____, ____=____)
# Processar o texto e atribuir o atributo is_country com valor verdadeiro (True) para o token "Spain"
doc = nlp("Eu moro na Espanha.")
____ = True
# ... | 28.066667 | 101 | 0.743468 |
aeaeecd417748763895f40dd98dc35dd01169d4f | 2,553 | py | Python | official/cv/east/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/east/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/east/export.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... | 30.759036 | 91 | 0.663925 |
ae5a7094e20490e641f0e7d1d6e30443c8818f1e | 2,325 | py | Python | official/gnn/gat/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/gnn/gat/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/gnn/gat/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020 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... | 34.191176 | 112 | 0.67914 |
4e9dde2a43666fc451abfc4295fe7ad150bf53ab | 91 | py | Python | Shivani/sum of two no.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/sum of two no.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/sum of two no.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | a=int(input("enter first number\n"))
b=int(input("enter second number\n"))
c=a+b
print(c)
| 15.166667 | 37 | 0.681319 |
e103291640486742c26e6c0ccbaba322c3c38ae4 | 31,283 | py | Python | src/pfun/mypy_plugin.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 126 | 2019-09-16T15:28:20.000Z | 2022-03-20T10:57:53.000Z | src/pfun/mypy_plugin.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 54 | 2019-09-30T08:44:01.000Z | 2022-03-20T11:10:00.000Z | src/pfun/mypy_plugin.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 11 | 2020-01-02T08:32:46.000Z | 2022-03-20T11:10:24.000Z | # type: ignore
import typing as t
from mypy import checkmember, infer
from mypy.argmap import map_actuals_to_formals
from mypy.checker import TypeChecker
from mypy.expandtype import freshen_function_type_vars
from mypy.mro import MroError, calculate_mro
from mypy.nodes import (ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_... | 36.040323 | 79 | 0.60755 |
0132307520b30ed591066bf37b85f70a2bc8099b | 2,394 | py | Python | 2-resources/_External-learning-resources/02-pyth/python-patterns-master/tests/structural/test_adapter.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/_External-learning-resources/02-pyth/python-patterns-master/tests/structural/test_adapter.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/_External-learning-resources/02-pyth/python-patterns-master/tests/structural/test_adapter.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 1 | 2021-11-05T07:48:26.000Z | 2021-11-05T07:48:26.000Z | import unittest
from patterns.structural.adapter import Adapter, Car, Cat, Dog, Human
class ClassTest(unittest.TestCase):
def setUp(self):
self.dog = Dog()
self.cat = Cat()
self.human = Human()
self.car = Car()
def test_dog_shall_bark(self):
noise = self.dog.bark()
... | 31.92 | 69 | 0.654553 |
09a43988b48e8c7b729bfb877677673a4f4d44e1 | 4,541 | py | Python | webshells/laudanum/helpers/shell.py | 0x307845/Dotfiles | 26a9126aee891d8353e1e59a96e4ef469310c74f | [
"MIT"
] | 3 | 2020-09-26T16:14:37.000Z | 2020-12-27T23:42:17.000Z | webshells/laudanum/helpers/shell.py | 0x307845/Dotfiles | 26a9126aee891d8353e1e59a96e4ef469310c74f | [
"MIT"
] | null | null | null | webshells/laudanum/helpers/shell.py | 0x307845/Dotfiles | 26a9126aee891d8353e1e59a96e4ef469310c74f | [
"MIT"
] | 1 | 2021-01-13T11:58:45.000Z | 2021-01-13T11:58:45.000Z | #!/usr/bin/env python3
'''
*******************************************************************************
***
*** Laudanum Project
*** A Collection of Injectable Files used during a Penetration Test
***
*** More information is available at:
*** http://laudanum.professionallyevil.com/
*** laudanum@secureideas.net
**... | 31.10274 | 163 | 0.640608 |
3a18e4d563abc624822700535f2156a3957933cc | 3,098 | py | Python | routes/misc.py | AuxiliumCDNG/MET-Bot | 7e00d878c92ad4f68b0b2920235019e14c9ea2fa | [
"MIT"
] | null | null | null | routes/misc.py | AuxiliumCDNG/MET-Bot | 7e00d878c92ad4f68b0b2920235019e14c9ea2fa | [
"MIT"
] | null | null | null | routes/misc.py | AuxiliumCDNG/MET-Bot | 7e00d878c92ad4f68b0b2920235019e14c9ea2fa | [
"MIT"
] | null | null | null | import importlib
import threading
import requests
from discord_interactions import verify_key_decorator
from flask import Blueprint, abort, send_file, request, jsonify
from globals import tokens, running_interactions, client
from statics import config
views = Blueprint("misc", __name__)
@views.route("/pictures/<gui... | 36.447059 | 169 | 0.575855 |
3ac640770209bcf14e9b31ec80c9b85b8c5d8a0a | 2,612 | py | Python | deprecated/benchmark/ps/semantic_matching/simnet_bow_benchmark.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 170 | 2020-08-12T12:07:01.000Z | 2022-03-07T02:38:26.000Z | deprecated/benchmark/ps/semantic_matching/simnet_bow_benchmark.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 195 | 2020-08-13T03:22:15.000Z | 2022-03-30T07:40:25.000Z | deprecated/benchmark/ps/semantic_matching/simnet_bow_benchmark.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 67 | 2020-08-14T02:07:46.000Z | 2022-03-28T10:05:33.000Z | # Copyright (c) 2019 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 app... | 30.729412 | 75 | 0.661562 |
c977d5d29db1a4081175092bb5e78c05e6bde956 | 398 | py | Python | 2-resources/_PYTHON/code-examples-master/mongodb/python/insert-document-mongodb.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/_PYTHON/code-examples-master/mongodb/python/insert-document-mongodb.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/_PYTHON/code-examples-master/mongodb/python/insert-document-mongodb.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 1 | 2021-11-05T07:48:26.000Z | 2021-11-05T07:48:26.000Z | from pymongo import MongoClient
import datetime
client = MongoClient('mongodb://localhost:27017/')
mydb = client['mydb']
myrecord = {
"author": "James",
"title" : "PyMongo 101",
"tags" : ["MongoDB", "PyMongo", "Tutorial"],
"date" : datetime.datetime.utcnow()
}
record_id = mydb... | 22.111111 | 52 | 0.648241 |
a31953d05d08d1cf6e100d86487703888982f265 | 1,017 | py | Python | tests/onegov/activity/test_utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/activity/test_utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/activity/test_utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.activity.utils import merge_ranges
from onegov.activity.utils import extract_municipality
def test_merge_ranges():
assert merge_ranges([[1, 2]]) == [(1, 2)]
assert merge_ranges([[1, 2], [2, 3]]) == [(1, 3)]
assert merge_ranges([[1, 2], [2, 3]]) == [(1, 3)]
assert merge_ranges([[1, 2], [3, ... | 33.9 | 74 | 0.610619 |
a360b0fdf5508e12688e0394905ca3452e080ca1 | 1,476 | py | Python | generate_sample.py | StanislavVolodarskiy/trie | fd3c462a0338f9cfdca45d7ddeb6647a9b6b5a57 | [
"MIT"
] | null | null | null | generate_sample.py | StanislavVolodarskiy/trie | fd3c462a0338f9cfdca45d7ddeb6647a9b6b5a57 | [
"MIT"
] | null | null | null | generate_sample.py | StanislavVolodarskiy/trie | fd3c462a0338f9cfdca45d7ddeb6647a9b6b5a57 | [
"MIT"
] | null | null | null | import string
import random
# В файле порядка 50'000 уникальных искомых подстрок
# В каждом файле порядка 700'000 уникальных строк
# средняя длина строк в файлах, где проводится поиск - от 18 символов до 500, на вскидку.
# cредняя длина искомых строк (подстрок) порядка 65-72 символов. Доля
# Пример искомых подстрок ... | 26.357143 | 89 | 0.724255 |
6e9fe600e0c213ce43741f7722dd49f4a5312952 | 2,426 | py | Python | src/hdf5to_pb.py | misogil0116/Biscotti | 010ef0f29fbd5d33c9870ce249f1a9824f3471c4 | [
"Apache-2.0"
] | 10 | 2018-01-11T01:15:15.000Z | 2020-06-22T15:03:31.000Z | src/hdf5to_pb.py | misogil0116/Biscotti | 010ef0f29fbd5d33c9870ce249f1a9824f3471c4 | [
"Apache-2.0"
] | null | null | null | src/hdf5to_pb.py | misogil0116/Biscotti | 010ef0f29fbd5d33c9870ce249f1a9824f3471c4 | [
"Apache-2.0"
] | null | null | null | """
this script help you to convert hdf5 into .pb
"""
import argparse
import os
import tensorflow as tf
from keras.models import load_model
from keras import backend as K
from tensorflow.python.framework import graph_util
from tensorflow.python.framework import graph_io
"""
def generator_loss_yuv444(y_true, y_pred... | 42.561404 | 208 | 0.716406 |
6ebe9d93100d5e479edcf862acca440f760b0185 | 778 | py | Python | skill/LightsController/LightsController.py | th-koeln-intia/ip-sprachassistent-team5 | cef8fded78261f2e838e45af11c2e74d34b85682 | [
"MIT"
] | null | null | null | skill/LightsController/LightsController.py | th-koeln-intia/ip-sprachassistent-team5 | cef8fded78261f2e838e45af11c2e74d34b85682 | [
"MIT"
] | null | null | null | skill/LightsController/LightsController.py | th-koeln-intia/ip-sprachassistent-team5 | cef8fded78261f2e838e45af11c2e74d34b85682 | [
"MIT"
] | null | null | null | from core.base.model.AliceSkill import AliceSkill
from core.dialog.model.DialogSession import DialogSession
from core.util.Decorators import IntentHandler
class LightsController(AliceSkill):
"""
Author: Team5
Description: A skill to control your zigbee lights
"""
@IntentHandler('toggleLightOn')
def toggleOnI... | 31.12 | 72 | 0.787918 |
42eb6672d56af047368c2e51c88eb2e6aa26218b | 623 | py | Python | webinterface/management/commands/send_daily_emails.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 2 | 2021-11-28T23:04:00.000Z | 2022-01-13T19:47:45.000Z | webinterface/management/commands/send_daily_emails.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 25 | 2020-03-29T14:40:46.000Z | 2021-09-22T17:37:15.000Z | webinterface/management/commands/send_daily_emails.py | monoclecat/cleaning-schedule-management-system | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 1 | 2020-07-04T11:42:17.000Z | 2020-07-04T11:42:17.000Z | from django.core.management.base import BaseCommand
from webinterface.email_sending import send_email__assignment_coming_up, send_email__warn_admin_tasks_forgotten
class Command(BaseCommand):
help = 'Call multiple functions which may send emails if their conditions are met. ' \
'Calls the send_email__a... | 47.923077 | 111 | 0.778491 |
6e105b54ac417dbf388a40e0854cf3d9b7653593 | 55 | py | Python | Algorithms/Implementation/extra-long-factorials.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Algorithms/Implementation/extra-long-factorials.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Algorithms/Implementation/extra-long-factorials.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | import math
n = int(input())
print(math.factorial(n))
| 11 | 24 | 0.690909 |
2547414876299da47a63285781398f1f60d3beaf | 231 | py | Python | exercises/en/exc_01_02_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/en/exc_01_02_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/en/exc_01_02_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # Import the Spanish language class
from spacy.lang.____ import ____
# Create the nlp object
nlp = ____
# Process a text (this is Spanish for: "How are you?")
doc = nlp("¿Cómo estás?")
# Print the document text
print(____.text)
| 19.25 | 54 | 0.718615 |
b0ade1e572f71a104926fb6f53a0818d0c3d3646 | 1,633 | py | Python | games/rpg/testbed.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | 2 | 2021-01-07T01:10:49.000Z | 2022-01-21T09:37:16.000Z | games/rpg/testbed.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | games/rpg/testbed.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | from envs.base import StateFormat
from envs.rpg.rpg import RPGEnvironment
from envs.rpg.levels.teasure_tutorial import TreasureTutorial
from envs.rpg.levels.medium_tutorial import MediumTutorial
from envs.rpg.levels.large_tutorial import LargeTutorial
from envs.rpg.levels.small_tutorial import SmallTutorial
from envs.r... | 34.020833 | 62 | 0.630741 |
b018468672ccf9528c4e5e9ac1eceed81e8e4b63 | 486 | py | Python | constant.py | ChristianKitte/Textextraktion-und-Einordnung-mit-Hilfe-neuronaler-Netze | 53d3fc6b1c17f31146741cdebd743f4aa12a09e0 | [
"MIT"
] | null | null | null | constant.py | ChristianKitte/Textextraktion-und-Einordnung-mit-Hilfe-neuronaler-Netze | 53d3fc6b1c17f31146741cdebd743f4aa12a09e0 | [
"MIT"
] | 16 | 2020-01-28T23:04:13.000Z | 2022-03-12T00:02:40.000Z | constant.py | ChristianKitte/Textextraktion-und-Einordnung-mit-Hilfe-neuronaler-Netze | 53d3fc6b1c17f31146741cdebd743f4aa12a09e0 | [
"MIT"
] | null | null | null | """Defines global constants of the program.
"""
INPUT_DIR = 'income'
"""input directory"""
OUTPUT_DIR = 'outcome'
"""output directory"""
EVALUATION_DIR = 'evaluation'
"""evaluation directory"""
DATABASE_JSON = 'data/ingrediens.json'
"""Location of the JSON database of ingredients"""
DATABASE_EXCEL = 'data... | 27 | 53 | 0.711934 |
b051c7372732852cd6e01f7e7671d8e24e49e8ce | 4,149 | py | Python | tests/view/test_console_view.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 3 | 2021-01-17T23:32:07.000Z | 2022-01-30T14:49:16.000Z | tests/view/test_console_view.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-01-17T13:37:56.000Z | 2021-04-14T12:28:49.000Z | tests/view/test_console_view.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-04-02T14:53:38.000Z | 2021-04-20T11:10:17.000Z | import io
import unittest
from datetime import datetime
from unittest.mock import patch
from chillow.model.action import Action
from chillow.model.cell import Cell
from chillow.model.direction import Direction
from chillow.model.game import Game
from chillow.model.player import Player
from chillow.view.console_view i... | 43.673684 | 101 | 0.683056 |
bbf3e896b7303b4a3b4ff04290605f01e5e0af6f | 1,884 | py | Python | Packs/CortexXDR/Scripts/CortexXDRRemediationActionsWidget/CortexXDRRemediationActionsWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CortexXDR/Scripts/CortexXDRRemediationActionsWidget/CortexXDRRemediationActionsWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CortexXDR/Scripts/CortexXDRRemediationActionsWidget/CortexXDRRemediationActionsWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | from CommonServerPython import *
import traceback
''' STANDALONE FUNCTION '''
def get_remediation_info() -> Dict:
remediation_actions = demisto.get(demisto.context(), 'RemediationActions')
if not remediation_actions:
raise DemistoException('RemediationActions not in context')
blocked_ip_addresse... | 37.68 | 116 | 0.737261 |
3c4cabdf27673e89b8248ee25bf6d3f2f39a5adf | 2,896 | py | Python | test/demonst_1_sleep_data.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | test/demonst_1_sleep_data.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | 3 | 2020-03-24T18:18:21.000Z | 2021-08-23T20:37:09.000Z | test/demonst_1_sleep_data.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | #############################################################
#
# Real-world Data 1. Sleep Data
#
#############################################################
import sys, os
sys.path.append("../..")
sys.path.append("..")
sys.path.append(os.getcwd())
import numpy as np
import pandas as pd
import copy
import pickle
fro... | 27.065421 | 91 | 0.530387 |
f950670fb2860124a09ff1c48f2028ca18e28f9f | 99 | py | Python | hello/hello-eve/run.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2017-10-23T14:58:47.000Z | 2017-10-23T14:58:47.000Z | hello/hello-eve/run.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | null | null | null | hello/hello-eve/run.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2018-04-06T07:49:18.000Z | 2018-04-06T07:49:18.000Z | from eve import Eve
app = Eve()
if __name__ == '__main__':
print("start eve~~~")
app.run() | 16.5 | 26 | 0.59596 |
f9559b713c36b3ae34aa277641c10a100ff3a755 | 700 | py | Python | restful04/app.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | restful04/app.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | restful04/app.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from flask import Flask
import config
from extensions import db
from article_view import bp
from users import user_bp
from models import User,Article,Tag
app = Flask(__name__)
app.config.from_object(config)
app.register_blueprint(bp)
app.register_blueprint(user_bp)
db.init_app(app)
@app.route('/')
def hello_world():
... | 23.333333 | 53 | 0.717143 |
34fe6ef106b09daf23dcc571bc2fa8cc3ed318c4 | 562 | py | Python | source/pkgsrc/lang/python27/patches/patch-Lib_distutils_util.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/lang/python27/patches/patch-Lib_distutils_util.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/lang/python27/patches/patch-Lib_distutils_util.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-Lib_distutils_util.py,v 1.1 2018/06/17 19:21:21 adam Exp $
--- Lib/distutils/util.py.orig 2014-12-10 15:59:35.000000000 +0000
+++ Lib/distutils/util.py
@@ -101,6 +101,8 @@ def get_platform ():
osname, release, machine = _osx_support.get_platform_osx(
dis... | 40.142857 | 79 | 0.565836 |
9bb1eaeaa06ee5abe06a0d209def7279a5e450fe | 1,386 | py | Python | py_projects/image_to_sketch/image_to_sketch.py | Anwesha-dash811/hacktober-1 | 188c859864f06f94a94cb91e63979366db62b9ac | [
"MIT"
] | 1 | 2020-10-04T12:36:45.000Z | 2020-10-04T12:36:45.000Z | py_projects/image_to_sketch/image_to_sketch.py | Anwesha-dash811/hacktober-1 | 188c859864f06f94a94cb91e63979366db62b9ac | [
"MIT"
] | 1 | 2021-09-30T16:20:57.000Z | 2021-09-30T16:20:57.000Z | py_projects/image_to_sketch/image_to_sketch.py | Anwesha-dash811/hacktober-1 | 188c859864f06f94a94cb91e63979366db62b9ac | [
"MIT"
] | 3 | 2020-10-04T10:07:10.000Z | 2020-10-25T15:21:15.000Z | pip install imageio //to install imageio package
import imageio
import requests
import numpy as np
import matplotlib.pyplot as plt
import IPython.display as dp
//to read the image using imread()
img="flower.jpg"
source_img=imageio.imread(img)
//making the image black and white by applying greyscale
def ... | 34.65 | 106 | 0.769841 |
b5f91119f76ebc167d300efe1f15d48506aef5f7 | 1,568 | py | Python | python/fastcampus/chapter03_02.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/fastcampus/chapter03_02.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/fastcampus/chapter03_02.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """Dict"""
from typing import List
source = [
("k1", "val1"),
("k1", "val2"),
("k2", "val3"),
("k2", "val4"),
("k2", "val5"),
]
# No use setdefault
d1 = {}
for k, v in source:
if k in d1:
d1[k].append(v)
else:
d1[k] = [v]
print(d1)
# Use setdefault
d2 = {}
for k, v in sour... | 18.232558 | 51 | 0.583546 |
23dca1fc441093582b31e42a108b69e078736287 | 1,005 | py | Python | src/utils/serialportreader.py | muhammedtiftikci/Proje-A | 363ddb8e03afe0387d144621479ed742d2d40dc6 | [
"MIT"
] | null | null | null | src/utils/serialportreader.py | muhammedtiftikci/Proje-A | 363ddb8e03afe0387d144621479ed742d2d40dc6 | [
"MIT"
] | null | null | null | src/utils/serialportreader.py | muhammedtiftikci/Proje-A | 363ddb8e03afe0387d144621479ed742d2d40dc6 | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
from time import sleep
import serial
from direction import Coordinate
from clientsocket import ClientSocket
client_socket = ClientSocket("192.168.1.8", 37037, 1024)
serial_port_reader = serial.Serial(
port='/dev/ttyS0',
baudrate=9600,
timeout=1
)
def dmm2dd(dmm):
dmm_str = str(dmm)
... | 18.962264 | 68 | 0.711443 |
7b92755c74c266e5704efd50648bf56c96fc29c6 | 834 | py | Python | INBa/2015/Shemenev_A_V/task_4_30.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Shemenev_A_V/task_4_30.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Shemenev_A_V/task_4_30.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 4. Вариант 30.
#Напишите программу, которая выводит имя, под которым скрывается Вильгельм Аполлинарий Костровицкий. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти). Для хран... | 49.058824 | 454 | 0.805755 |
7b9937e5e3b6819c6b0d560356e5650b5934e072 | 4,368 | py | Python | rrcf_anomaly_detection.py | JoelHaubold/NzmLabeling | 363c027ce6584899025f79ea4758e1808b2aa96a | [
"MIT"
] | null | null | null | rrcf_anomaly_detection.py | JoelHaubold/NzmLabeling | 363c027ce6584899025f79ea4758e1808b2aa96a | [
"MIT"
] | null | null | null | rrcf_anomaly_detection.py | JoelHaubold/NzmLabeling | 363c027ce6584899025f79ea4758e1808b2aa96a | [
"MIT"
] | null | null | null | import os
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import rrcf
plot_directory = Path("../rrcf_plots")
def get_file_names(file_directory):
file_names = os.listdir(file_directory)
file_names = list(filter(lambda f_path: os.path.isdir(file_directory / f_pat... | 33.860465 | 140 | 0.669414 |
cdcd45279dbf5ca79abf715f67cc054dab1726d4 | 1,005 | py | Python | python/en/_numpy/organize_this/test_numpy.fftshift_example_01.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/organize_this/test_numpy.fftshift_example_01.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/organize_this/test_numpy.fftshift_example_01.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | """
test_numpy.fftshift_example_01.py
This is an example code for numpy.fft.fftshift
https://docs.scipy.org/doc/numpy/reference/generated/numpy.fft.fftshift.html#numpy.fft.fftshift
More in general, Discrete Fourier Transform (numpy.fft)
https://docs.scipy.org/doc/numpy/reference/routines.fft.html
"""
import numpy as... | 27.916667 | 95 | 0.587065 |
b52f55929f251139f1b2851ff936e0580a3133f0 | 3,373 | py | Python | tools/vasp_fix_layer_v2.0.py | cwandtj/A2P2 | a5999f6dbcd7da194fbded8b8c113affdb419c3b | [
"MIT"
] | 1 | 2017-08-25T07:46:30.000Z | 2017-08-25T07:46:30.000Z | tools/vasp_fix_layer_v2.0.py | cwandtj/A2P2 | a5999f6dbcd7da194fbded8b8c113affdb419c3b | [
"MIT"
] | null | null | null | tools/vasp_fix_layer_v2.0.py | cwandtj/A2P2 | a5999f6dbcd7da194fbded8b8c113affdb419c3b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import time, sys, os, copy, subprocess
from datetime import datetime
import numpy as np
from ase.io import vasp, read, write
import NanoCore as nc
version = 20171211
now_time = datetime.now()
usage = ' Usage: %s [POSCAR or CONTCAR] \n ' % sys.argv[0]
foottext = '\n Thank you\n## Yoon Su Shim <... | 22.637584 | 109 | 0.505485 |
a5f2336f0ee0a0211ff6e96a4b65550a648f287c | 554 | py | Python | app/models/category.py | kalbe09/Kicards | ad64cfa808307b10f98f95dbb8cf0350995c3afd | [
"MIT"
] | null | null | null | app/models/category.py | kalbe09/Kicards | ad64cfa808307b10f98f95dbb8cf0350995c3afd | [
"MIT"
] | null | null | null | app/models/category.py | kalbe09/Kicards | ad64cfa808307b10f98f95dbb8cf0350995c3afd | [
"MIT"
] | null | null | null | from .. import db
from datetime import datetime
class Category(db.Model):
__tablename__ = 'category'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(64), index=True)
duedate = db.Column(db.Date) # Datefield
# datetime.strptime('09.19.2018', '%m.%d.%Y').date())
prio = ... | 30.777778 | 84 | 0.66065 |
93fe5da693b5b7c4fae75faaa39e5b15f3d8983f | 862 | py | Python | frappe-bench/apps/erpnext/erpnext/portal/utils.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/portal/utils.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/portal/utils.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | import frappe
def set_default_role(doc, method):
'''Set customer, supplier, student, guardian based on email'''
if frappe.flags.setting_role or frappe.flags.in_migrate:
return
roles = frappe.get_roles(doc.name)
contact_name = frappe.get_value('Contact', dict(email_id=doc.email))
if contact_name:
contact = f... | 37.478261 | 95 | 0.7471 |
f59b43ff5a3f6bd0781be49a4c8b274c9c904a0b | 1,996 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/import/visum/visum_convertEdgeTypes.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/import/visum/visum_convertEdgeTypes.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/import/visum/visum_convertEdgeTypes.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) 2009-2020 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... | 34.413793 | 77 | 0.650802 |
193780b6e401a0b1cbe9e0e0d6abde97fdb76fac | 9,856 | py | Python | Packs/CyberTotal/Integrations/CyberTotal/CyberTotal_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CyberTotal/Integrations/CyberTotal/CyberTotal_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CyberTotal/Integrations/CyberTotal/CyberTotal_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | """CyberTotal Integration for Cortex XSOAR - Unit Tests file
This file contains the Unit Tests for the CyberTotal Integration based
on pytest. Cortex XSOAR contribution requirements mandate that every
integration should have a proper set of unit tests to automatically
verify that the integration is behaving as expected... | 34.582456 | 112 | 0.691863 |
27219675efcb887f3cf2f887ccefd0e30da413a7 | 7,193 | py | Python | scripts/feedforwardness_data.py | tliu68/maggot_connectome | ef4bbd2011fa9e03da187fcca8c8c1ca79209a36 | [
"MIT"
] | 1 | 2021-01-20T00:37:31.000Z | 2021-01-20T00:37:31.000Z | scripts/feedforwardness_data.py | tliu68/maggot_connectome | ef4bbd2011fa9e03da187fcca8c8c1ca79209a36 | [
"MIT"
] | 17 | 2021-03-03T14:48:54.000Z | 2021-09-08T15:52:50.000Z | scripts/feedforwardness_data.py | tliu68/maggot_connectome | ef4bbd2011fa9e03da187fcca8c8c1ca79209a36 | [
"MIT"
] | 2 | 2021-03-05T12:23:20.000Z | 2021-03-29T11:49:53.000Z | #%% [markdown]
# # One-sample feedforwardness testing: data
# Here we apply the test statistic $p_{upper}$ (see {doc}`./bilateral_symmetry`) to our
# four observed networks and compare to randomly sampled networks from null models.
#%% [markdown]
# ## Preliminaries
#%%
from pkg.utils import set_warnings
import dateti... | 31.687225 | 88 | 0.65105 |
27e9797e7f85b8aee3fe439c92ccea057fd8c567 | 7,984 | py | Python | tests/onegov/gazette/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/gazette/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/gazette/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import date
from datetime import datetime
from tests.shared.utils import create_app
from onegov.core.crypto import hash_password
from onegov.gazette import GazetteApp
from onegov.gazette.collections import CategoryCollection
from onegov.gazette.collections import IssueCollection
from onegov.gazette.collec... | 31.309804 | 78 | 0.651428 |
e37c8d8eadd51ba3df5b778ac22d177d9bfc14a3 | 1,651 | py | Python | teams/team_snapback/Website/main.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 19 | 2017-10-08T03:18:38.000Z | 2020-07-07T02:34:18.000Z | teams/team_snapback/Website/main.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 2 | 2017-10-08T03:15:10.000Z | 2017-10-10T16:10:32.000Z | teams/team_snapback/Website/main.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 28 | 2017-10-07T23:24:36.000Z | 2022-03-29T08:03:40.000Z | from flask import Flask
from flask import render_template
from flask import abort, redirect, url_for
from flask import request, send_from_directory
import requests
import dropbox
import updown
import json
import config
TOKEN = config.dropbox_key
dbx = dropbox.Dropbox(TOKEN)
fileLists = updown.list_folder(dbx, "SnapBac... | 23.253521 | 73 | 0.691096 |
7beedc415c8d3752a78244dab994e3e8e276a046 | 124 | py | Python | scripts/hello_world_tj.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | null | null | null | scripts/hello_world_tj.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | null | null | null | scripts/hello_world_tj.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | 1 | 2019-10-24T06:45:21.000Z | 2019-10-24T06:45:21.000Z | // LANGUAGE: python
// ENV: notepad++
// AUTHOR: TJ Bollerman
// GITHUB: https://github.com/tjboller
print("hello world")
| 15.5 | 38 | 0.677419 |
7bf58884d0afdf73b1d03817d6fd90d18311d422 | 1,032 | py | Python | angstrom/2021/misc/TI-1337_Nspire/ti1337nspire.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | angstrom/2021/misc/TI-1337_Nspire/ti1337nspire.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | angstrom/2021/misc/TI-1337_Nspire/ti1337nspire.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | #!/run/cpython/python
from multiprocessing import Process, Queue
def sandbox(calculation, result):
from sys import addaudithook
from os import _exit
import constants
code = compile(calculation, '<math>', 'exec')
def audit(name, args):
if not audit.calculated and name == 'exec':
audit.calculuated = True
els... | 27.157895 | 64 | 0.638566 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.