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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c2e9da8b1410e0876c772e4e9d83e5a0a64b024 | 436 | py | Python | src/dendrograms/dendrogram.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | src/dendrograms/dendrogram.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | src/dendrograms/dendrogram.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | # dendrogram
import scipy.cluster.hierarchy as shc
# Import Data
df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/USArrests.csv')
# Plot
plt.figure(figsize=(16, 10), dpi= 80)
plt.title("USArrests Dendograms", fontsize=22)
dend = shc.dendrogram(shc.linkage(df[['Murder', 'Assault', 'Urb... | 29.066667 | 143 | 0.729358 |
c7dc6758888dcf6b5a87623d709380c54ae6843a | 4,194 | py | Python | frds/measures/func_cca.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 31 | 2020-06-17T13:19:12.000Z | 2022-03-27T08:56:38.000Z | frds/measures/func_cca.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | null | null | null | frds/measures/func_cca.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 8 | 2020-06-14T15:21:51.000Z | 2021-09-29T06:28:53.000Z | from math import log, sqrt, exp
from typing import Tuple
from scipy.optimize import fsolve
from scipy.stats import norm
def cca(
equity: float,
volatility: float,
risk_free_rate: float,
default_barrier: float,
time_to_maturity: float,
cds_spread: float,
) -> Tuple[float, float]:
r"""System... | 34.377049 | 137 | 0.619456 |
469db1decf9433d9417a1c884684e9ccb685a66c | 4,901 | py | Python | core/plot_data.py | NewLanded/swbt | 8b8e8609cea060d6f124dc3c4bd99cb6243501dc | [
"Apache-2.0"
] | null | null | null | core/plot_data.py | NewLanded/swbt | 8b8e8609cea060d6f124dc3c4bd99cb6243501dc | [
"Apache-2.0"
] | null | null | null | core/plot_data.py | NewLanded/swbt | 8b8e8609cea060d6f124dc3c4bd99cb6243501dc | [
"Apache-2.0"
] | 1 | 2019-11-28T16:29:49.000Z | 2019-11-28T16:29:49.000Z | import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns
import pandas as pd
def plot_data(point_data, bs_data, manual_plot_data):
"""
绘图
:param point_data: 回测数据, DataFrame, 至少包含日期与开盘价, 收盘价, 最高价, 最低价, 以日期升序排序
trade_date open high low close
1 2016-01-01 10 11 ... | 41.533898 | 152 | 0.665987 |
d3b24f937c10178693840941316f2418669c2f48 | 4,943 | py | Python | research/cv/FaceAttribute/src/FaceAttribute/resnet18_softmax.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/FaceAttribute/src/FaceAttribute/resnet18_softmax.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/FaceAttribute/src/FaceAttribute/resnet18_softmax.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... | 33.856164 | 92 | 0.629173 |
b43998a7beab0acd2310aa664c45a62bc7d79f81 | 1,635 | py | Python | qr.py | Themishau/AGI_QR_CODE_PROJEKT | 390bcd4d211e66f0520646591d7e542edc683ad6 | [
"MIT"
] | null | null | null | qr.py | Themishau/AGI_QR_CODE_PROJEKT | 390bcd4d211e66f0520646591d7e542edc683ad6 | [
"MIT"
] | null | null | null | qr.py | Themishau/AGI_QR_CODE_PROJEKT | 390bcd4d211e66f0520646591d7e542edc683ad6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import qrcode
import os
import cv2
from pyzbar.pyzbar import decode
import random
import sys
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import time
from IPython import get_ipython
from IPython.display import display
CAMERA_PORT = 1
def init_camera_settings(settings):... | 23.695652 | 67 | 0.645872 |
c31ba3d7ee0082c112d19d5e103607edd102da19 | 2,139 | py | Python | qmk_firmware/util/audio_generate_dac_lut.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | 2 | 2021-04-16T23:29:01.000Z | 2021-04-17T02:26:22.000Z | qmk_firmware/util/audio_generate_dac_lut.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/util/audio_generate_dac_lut.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright 2020 JohSchneider
#
# 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, either version 2 of the License, or
# (at your option) any later version.
#
# This progra... | 31.455882 | 127 | 0.696587 |
c35a9ddcb10296ffbe9bc70a03ce675566e88989 | 2,429 | py | Python | research/cv/autoaugment/src/dataset/autoaugment/ops/cutout.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-07-03T06:52:20.000Z | 2021-07-03T06:52:20.000Z | research/cv/autoaugment/src/dataset/autoaugment/ops/cutout.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/cv/autoaugment/src/dataset/autoaugment/ops/cutout.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # 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... | 31.141026 | 78 | 0.590778 |
48b4fc9b5da754c3f4dccfc30ec868de7bd721e9 | 1,075 | py | Python | Packs/CommonScripts/Scripts/SetAndHandleEmpty/SetAndHandleEmpty.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | null | null | null | Packs/CommonScripts/Scripts/SetAndHandleEmpty/SetAndHandleEmpty.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | null | null | null | Packs/CommonScripts/Scripts/SetAndHandleEmpty/SetAndHandleEmpty.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | null | null | null | import demistomock as demisto
from CommonServerPython import *
from typing import Text
def get_value(value, stringify=False):
if stringify:
return str(value)
elif not value or not isinstance(value, (Text, bytes, bytearray)):
return value
else:
try:
return json.loads(val... | 25.595238 | 70 | 0.624186 |
d2da60aefa1a2bd7a2b7ff708b7ed467f46c8a95 | 4,794 | py | Python | src/visitpy/visit_flow/flow/src/parser/generator.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/visitpy/visit_flow/flow/src/parser/generator.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/visitpy/visit_flow/flow/src/parser/generator.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # Copyright (c) Lawrence Livermore National Security, LLC and other VisIt
# Project developers. See the top-level LICENSE file for dates and other
# details. No copyright assignment is required to contribute to VisIt.
"""
File: generator.py
Authors: Cyrus Harrison, <cyrush@llnl.gov>
Maysam Moussalem <mays... | 36.59542 | 95 | 0.520025 |
8287a078aa5af912398a432f618ea02f75fe240c | 4,003 | py | Python | python/oneflow/test/modules/test_l2_normalize.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 3,285 | 2020-07-31T05:51:22.000Z | 2022-03-31T15:20:16.000Z | python/oneflow/test/modules/test_l2_normalize.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 2,417 | 2020-07-31T06:28:58.000Z | 2022-03-31T23:04:14.000Z | python/oneflow/test/modules/test_l2_normalize.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 520 | 2020-07-31T05:52:42.000Z | 2022-03-29T02:38:11.000Z | """
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... | 31.031008 | 88 | 0.623782 |
7d5885bb8825541292f3f453d5964f1f6d2f1b8d | 2,551 | py | Python | src/onegov/core/orm/sql.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/orm/sql.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/orm/sql.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import os
import psqlparse
import re
from onegov.core.cache import lru_cache
from onegov.core.orm import types as onegov_types
from sqlalchemy import text
from sqlalchemy import types as sqlalchemy_types
from uuid import uuid4
NESTED_TYPE = re.compile(r'(\w+)\((\w+)\)')
def as_selectable(query, alias=None):
""... | 25.009804 | 78 | 0.620541 |
7d8144cb1f65f66f7042adc2d389edc76579dfa9 | 763 | py | Python | loadtest/trafficgen/setup.py | harrywong/evt | 95985384619e0f5ff4021e8838d421ac4b4b946d | [
"BSD-3-Clause"
] | 1,411 | 2018-04-23T03:57:30.000Z | 2022-02-13T10:34:22.000Z | loadtest/trafficgen/setup.py | Zhang-Zexi/evt | e90fe4dbab4b9512d120c79f33ecc62791e088bd | [
"Apache-2.0"
] | 27 | 2018-06-11T10:34:42.000Z | 2019-07-27T08:50:02.000Z | loadtest/trafficgen/setup.py | Zhang-Zexi/evt | e90fe4dbab4b9512d120c79f33ecc62791e088bd | [
"Apache-2.0"
] | 364 | 2018-06-09T12:11:53.000Z | 2020-12-15T03:26:48.000Z | from setuptools import find_packages, setup
setup(
name='trafficgen',
version='0.1',
author='everiToken',
author_email='help@everitoken.io',
description='Python SDK library for everiToken',
long_description=open('README.rst').read(),
license='MIT',
url='https://github.com/everitoken/evt... | 29.346154 | 76 | 0.622543 |
7de58860371ba74a6517135556baa54c20edafe3 | 44,928 | py | Python | examples/LaTeX/LaTeXParser.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 2 | 2020-12-25T19:37:42.000Z | 2021-03-26T04:59:12.000Z | examples/LaTeX/LaTeXParser.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 6 | 2018-08-07T22:48:52.000Z | 2021-10-07T18:38:20.000Z | examples/LaTeX/LaTeXParser.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
#######################################################################
#
# SYMBOLS SECTION - Can be edited. Changes will be preserved.
#
#######################################################################
import collections
from functools import partial
import os
import sys
from typing im... | 43.70428 | 409 | 0.630475 |
c4cbeba6b79feb78fd58d2889d2e4d262d74438c | 140 | py | Python | py/jpy-integration/src/javaToPython/python/io/deephaven/jpy/integration/pylib_null_arg_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 55 | 2021-05-11T16:01:59.000Z | 2022-03-30T14:30:33.000Z | py/jpy-integration/src/javaToPython/python/io/deephaven/jpy/integration/pylib_null_arg_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 943 | 2021-05-10T14:00:02.000Z | 2022-03-31T21:28:15.000Z | py/jpy-integration/src/javaToPython/python/io/deephaven/jpy/integration/pylib_null_arg_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 29 | 2021-05-10T11:33:16.000Z | 2022-03-30T21:01:54.000Z | sentinel = object()
def some_function(x = sentinel):
if x is None:
return "None"
if x == sentinel:
return "sentinel"
return x | 17.5 | 32 | 0.642857 |
82ec0e55b2c3cd52c421f1eef9825dc42e7fb521 | 11,349 | py | Python | dorksscan-main/dorkscan.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | dorksscan-main/dorkscan.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | dorksscan-main/dorkscan.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import os,re,requests
from colorama import Fore,init
from multiprocessing.dummy import Pool
if os.name == "nt":
os.system("cls")
else:
os.system("clear")
init(convert=True)
class settings:
y = Fore.YELLOW
r = Fore.RED
b = Fore.BLUE
def clean():
lines_seen = set()
outfile = open('sites.txt', "a")
infile = o... | 44.332031 | 133 | 0.658208 |
96924245872da8da09df20251333b6a86abd16ce | 1,725 | py | Python | rnn/model.py | junchenfeng/diagnosis_tracing | 4e26e2ad0c7abc547f22774b6c9c299999a152c3 | [
"MIT"
] | null | null | null | rnn/model.py | junchenfeng/diagnosis_tracing | 4e26e2ad0c7abc547f22774b6c9c299999a152c3 | [
"MIT"
] | null | null | null | rnn/model.py | junchenfeng/diagnosis_tracing | 4e26e2ad0c7abc547f22774b6c9c299999a152c3 | [
"MIT"
] | 1 | 2020-09-08T13:42:16.000Z | 2020-09-08T13:42:16.000Z | from torch import nn
from torch import ne
from torch.nn.utils.rnn import pack_padded_sequence,pad_packed_sequence
from torch.nn.functional import one_hot
class Model(nn.Module):
"""
item id starts from 1 'cause 0s are paddings
"""
def __init__(self,num_items,hidden_size):
... | 35.9375 | 72 | 0.551884 |
96aac300d555ae87ed93a72daf91976d50f984fc | 352 | py | Python | pacman-termux/test/pacman/tests/provision011.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/provision011.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/provision011.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "provision>=1.0-2 dependency (2)"
p = pmpkg("pkg1", "1.0-2")
p.depends = ["provision>=1.0-2"]
self.addpkg(p)
lp = pmpkg("pkg2", "1.0-2")
lp.provides = ["provision=1.0-2"]
self.addpkg2db("local", lp)
self.args = "-U %s" % p.filename()
self.addrule("PACMAN_RETCODE=0")
self.addrule("PKG_EXIST=pkg1")... | 22 | 52 | 0.65625 |
73ca8df3064bddab373a71d1a6b0c360619ac832 | 935 | py | Python | cktsim/sim/views.py | Rajarshi07/cktsim | 35f85a5240b940bfd0c0f5fb15cf59da57f92587 | [
"MIT"
] | null | null | null | cktsim/sim/views.py | Rajarshi07/cktsim | 35f85a5240b940bfd0c0f5fb15cf59da57f92587 | [
"MIT"
] | null | null | null | cktsim/sim/views.py | Rajarshi07/cktsim | 35f85a5240b940bfd0c0f5fb15cf59da57f92587 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
def index(request):
return render(request, 'index.html')
def allckts(request):
return render(request, 'allckts.html')
def hadd(request):
return render(request,'hadd.html')
def fadd(request):
return render(request,'fadd.html')
def hsub(request):
return r... | 30.16129 | 45 | 0.734759 |
73eba48618189793893a52bf89de49d9f12d8e80 | 17,346 | py | Python | src/onegov/swissvotes/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/swissvotes/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/swissvotes/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Contains upgrade tasks that are executed when the application is being
upgraded on the server. See :class:`onegov.core.upgrade.upgrade_task`.
"""
from onegov.core.orm.types import JSON
from onegov.core.upgrade import upgrade_task
from sqlalchemy import Column
from sqlalchemy import Integer
from sqlalchemy import N... | 31.711152 | 79 | 0.648219 |
f7a3e3cdd35699fd7a31aa90675a7788ecd640da | 707 | py | Python | ryu/app/otherApp/lock.py | yuesir137/SDN-CLB | 58b12a9412cffdf2945440528b1885c8899edd08 | [
"Apache-2.0"
] | null | null | null | ryu/app/otherApp/lock.py | yuesir137/SDN-CLB | 58b12a9412cffdf2945440528b1885c8899edd08 | [
"Apache-2.0"
] | null | null | null | ryu/app/otherApp/lock.py | yuesir137/SDN-CLB | 58b12a9412cffdf2945440528b1885c8899edd08 | [
"Apache-2.0"
] | null | null | null | import fcntl
import time
def get_lock(state):
result = False
file = open('lock', 'r+')
fcntl.flock(file.fileno(), fcntl.LOCK_EX)
Lock = file.readline()
if Lock=='True':
print('other mig in progress !!!')
if state == True and Lock == 'False':
print('acquire lock {} at {}'.format... | 24.37931 | 65 | 0.572843 |
f704c46b173fb645449a9542a94234ae033a96b3 | 5,712 | py | Python | view/__init__.py | sadlll/ablog | d04b532751c297fe9cd25563d08f48e8aaee7f48 | [
"Apache-2.0"
] | null | null | null | view/__init__.py | sadlll/ablog | d04b532751c297fe9cd25563d08f48e8aaee7f48 | [
"Apache-2.0"
] | null | null | null | view/__init__.py | sadlll/ablog | d04b532751c297fe9cd25563d08f48e8aaee7f48 | [
"Apache-2.0"
] | 1 | 2020-09-14T07:09:34.000Z | 2020-09-14T07:09:34.000Z | # coding:utf-8
import json
import random
import string
import tornado.web
import config
from lib.jsdict import JsDict
from model.user import User
# route
class Route(object):
urls = []
def __call__(self, url, name=None):
def _(cls):
self.urls.append(tornado.web.URLSpec(url, cls, name=nam... | 25.386667 | 107 | 0.605042 |
f753ee729c747bc8e02b5d4ea15a3a98ac9dd683 | 8,124 | py | Python | 21-fs-ias-lec/07-BackEnd/Person/Person.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 21-fs-ias-lec/07-BackEnd/Person/Person.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 21-fs-ias-lec/07-BackEnd/Person/Person.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | import sys
import time
sys.path.append("../Feed")
sys.path.append("../lib")
import crypto
import feed as fe
from generateJson import generate_json
from Feed import Feed
class Person:
name = "" # name of the user
id = 0 # BacNet id of the user
feed = None # feed of the user (refers to Feed.py)
... | 41.44898 | 115 | 0.612383 |
540aafacd1eef47403ad38441dc7cb2aa36cade7 | 251 | py | Python | x/readxls/main.py | miku/lc-extra | afeb3cb5f532069be17c54d6508aa7c0c8373c2a | [
"MIT"
] | null | null | null | x/readxls/main.py | miku/lc-extra | afeb3cb5f532069be17c54d6508aa7c0c8373c2a | [
"MIT"
] | null | null | null | x/readxls/main.py | miku/lc-extra | afeb3cb5f532069be17c54d6508aa7c0c8373c2a | [
"MIT"
] | 1 | 2020-02-04T08:09:01.000Z | 2020-02-04T08:09:01.000Z | import pandas as pd
# Daten laden.
df = pd.read_excel("konkordanz_pica_gnd_pica_export.xls")
df["Pica Sbf-Bezeichnung"] = df["Pica Sbf-Bezeichnung"].str.upper()
# Ausschnitt, speichern.
df[["Pica3", "Pica Sbf-Bezeichnung"]].to_excel("output.xlsx")
| 25.1 | 67 | 0.733068 |
b772807585b7f0be65f1aa4595898dd9f94796ea | 1,669 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/util/StringUtils.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/util/StringUtils.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/util/StringUtils.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def check_no_duplicate_chars(input):
upper_case_input = input.upper()
return len(upper_case_input) == len(set(upper_case_input))
def is_palindrome_rec(input):
return is_palindrome_rec_in_range(input.lower(), 0, len(i... | 22.554054 | 71 | 0.654284 |
b77730f86af0ed31246b2f7396d14cab30ba356e | 20,134 | py | Python | NMC/parser/Biophysics.py | OpenSourceBrain/BlueBrainProjectShowcase | 2cd8aa77342576c1a871f5d500d791f927444913 | [
"MIT"
] | 26 | 2015-08-17T19:30:52.000Z | 2021-03-12T20:39:19.000Z | NMC/parser/Biophysics.py | OpenSourceBrain/BlueBrainProjectShowcase | 2cd8aa77342576c1a871f5d500d791f927444913 | [
"MIT"
] | 9 | 2015-01-15T20:16:08.000Z | 2017-05-18T20:53:52.000Z | NMC/parser/Biophysics.py | OpenSourceBrain/BlueBrainProjectShowcase | 2cd8aa77342576c1a871f5d500d791f927444913 | [
"MIT"
] | 18 | 2015-08-17T19:30:56.000Z | 2022-03-04T06:01:30.000Z | #!/usr/bin/env python
"""
Create an NeuroML 2.0 version of the templates stored in a json file
Authors: Werner van Geit, Padraig Gleeson
"""
import json
import logging
logging.basicConfig(level=logging.DEBUG, format='%(message)s')
import neuroml
import neuroml.writers
import neuroml.utils
# pylint: di... | 49.960298 | 162 | 0.470299 |
4d150382173551c8e8515ec0b3dfc09ab63bfa5e | 235 | py | Python | Nucleo/__init__.py | Jonatan966/SODA | 046d8c1e7b9bac3a555526c9fe2f365c2b338aca | [
"MIT"
] | null | null | null | Nucleo/__init__.py | Jonatan966/SODA | 046d8c1e7b9bac3a555526c9fe2f365c2b338aca | [
"MIT"
] | null | null | null | Nucleo/__init__.py | Jonatan966/SODA | 046d8c1e7b9bac3a555526c9fe2f365c2b338aca | [
"MIT"
] | null | null | null | from .smain_Variaveis import *
from .smain_Info import *
from .smain_Matematica import *
from .smain_Criptografia import *
from .smain_Config import *
from .smain_Debug import *
from .smain_Quimica import *
from .smain_Handler import * | 29.375 | 33 | 0.8 |
c4272282d25b488bf957aaea24f59576bc26e3bc | 427 | py | Python | BITs/2014/Abdrahmanova_G_I/task_5_1.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Abdrahmanova_G_I/task_5_1.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Abdrahmanova_G_I/task_5_1.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача 5. Вариант 1.
#Напишите программу, которая бы при запуске случайным образом отображала название одного из семи чудес света.
import random
wonder=random.choice(["Пирамиды Гизы", "Висячие сады Семирамиды", "Олимпийская статуя Зевса", "Храм Артемиды в Эфесе", "Галикарнасский мавзолей", "Колосс Родосский", "Алексан... | 53.375 | 190 | 0.775176 |
c47d85c1e6838759a4bc7d5ca02850f9fb1f4c04 | 422 | py | Python | ___Python/Jonas/Python/p06_persistance/m02_json.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Jonas/Python/p06_persistance/m02_json.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Jonas/Python/p06_persistance/m02_json.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | import json
from p01_kennenlernen.m01_kennenlernen import teilnehmerListe
# pickling / serialization / marshalling / flattening
with open("teilnehmer.json", "w") as datei:
json.dump(teilnehmerListe, datei, default=str) # Datumsangaben werden als string serialisiert
# unpickling / deserialization / unma... | 28.133333 | 98 | 0.741706 |
6701c779f662d98db3050ba0aafbf79cb2876702 | 72 | py | Python | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.03-set/ph-29-declear-set-with-value.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.03-set/ph-29-declear-set-with-value.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.03-set/ph-29-declear-set-with-value.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | items = {"pen", "loptop", "cellphone"}
print(items, "\n", type(items))
| 18 | 38 | 0.597222 |
670ebd28ead69c62b5461e9fb939dad34f90aaf8 | 1,402 | py | Python | lintcode/132-[DUP]-Palindrome-Partitioning-II/PalindromePartitioningII_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | lintcode/132-[DUP]-Palindrome-Partitioning-II/PalindromePartitioningII_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | lintcode/132-[DUP]-Palindrome-Partitioning-II/PalindromePartitioningII_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param s, a string
# @return an integer
def minCut(self, s):
# write your code here
n = len(s)
if n < 2:
return 0
isPal = [[False for j in range(n)] for i in range(n)]
for d in range(n):
isPal[d][d] = True
for l... | 28.612245 | 77 | 0.363766 |
675720cfa6c5c6623db4c85fdd76a0b15a72ba94 | 13,700 | py | Python | etl/event-server/etllib.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/event-server/etllib.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/event-server/etllib.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | import os
import uvloop
import asyncio
import logging
from etl.core.engine import TaskContext
import pandas as pd
from etl.core.config import Config
from etl.io_config.epic_api import EpicAPIConfig
import etl.io_config.core as core
import traceback
import etl.load.pipelines.epic2op as loader
import datetime as dt
impor... | 39.367816 | 198 | 0.629854 |
67e62d7a75f87cc95f414307138944e776ec2ff8 | 279 | py | Python | Project Euler Qusetions 51 - 60/Project Euler Question 56.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | 1 | 2020-02-11T02:03:02.000Z | 2020-02-11T02:03:02.000Z | Project Euler Qusetions 51 - 60/Project Euler Question 56.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | Project Euler Qusetions 51 - 60/Project Euler Question 56.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | #Project Euler Question 56
#Powerful digit sum
highest_sum = 1
for a in range(1, 100):
for b in range(1, 100):
ab = (a ** b)
digit_sum = sum(int(i) for i in str(ab))
if digit_sum > highest_sum:
highest_sum = digit_sum
print (highest_sum) | 23.25 | 48 | 0.605735 |
db09361d65f0e4eb0465dc738531ed5f4084cdf8 | 2,721 | py | Python | marathon/marathon-lb/zdd_exceptions.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 511 | 2015-10-17T09:28:28.000Z | 2022-02-20T21:58:56.000Z | marathon/marathon-lb/zdd_exceptions.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 575 | 2015-10-09T11:54:09.000Z | 2021-11-22T20:50:19.000Z | marathon/marathon-lb/zdd_exceptions.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 411 | 2015-10-29T13:41:45.000Z | 2022-02-11T09:27:50.000Z | """ Exit Status 1 is already used in the script.
Zdd returns with exit status 1 when app is not force
deleted either through argument or through prompt.
Exit Status 2 is used for Unknown Exceptions.
"""
class InvalidArgException(Exception):
""" This exception indicates invalid combination of arguments... | 33.182927 | 74 | 0.663359 |
7a087da29649ec958c9518ed20b639939a473e3a | 10,821 | py | Python | bawwab/user.py | leibniz-psychology/bawwab | 2e7129bf59b33c0ee22a960e7b2835888068fd1a | [
"MIT"
] | 2 | 2021-07-06T06:00:22.000Z | 2022-01-15T09:29:44.000Z | bawwab/user.py | leibniz-psychology/bawwab | 2e7129bf59b33c0ee22a960e7b2835888068fd1a | [
"MIT"
] | 11 | 2020-11-26T10:53:44.000Z | 2022-03-31T09:42:51.000Z | bawwab/user.py | leibniz-psychology/bawwab | 2e7129bf59b33c0ee22a960e7b2835888068fd1a | [
"MIT"
] | 1 | 2022-01-15T09:30:46.000Z | 2022-01-15T09:30:46.000Z | # Copyright 2019–2020 Leibniz Institute for Psychology
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, ... | 30.226257 | 97 | 0.715091 |
e16e57eb54608625ef652e4799f0b355bfb2c17f | 2,938 | py | Python | tests/solvers/discrete_vi/discrete_vi_mixin_test.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 34 | 2021-12-09T07:12:57.000Z | 2022-03-11T08:17:20.000Z | tests/solvers/discrete_vi/discrete_vi_mixin_test.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | null | null | null | tests/solvers/discrete_vi/discrete_vi_mixin_test.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 4 | 2021-12-11T07:48:01.000Z | 2022-03-01T23:50:33.000Z | import chex
import jax.numpy as jnp
import shinrl as srl
def test_build_table_mixin():
from shinrl.solvers.discrete_vi._build_table_mixin import BuildTableMixIn
from shinrl.solvers.discrete_vi.config import ViConfig
class MockSolver(srl.BaseSolver):
@staticmethod
def make_mixins():
... | 28.524272 | 80 | 0.678353 |
8349f759a260f6cfb66a7346d40a05de1664f2fd | 993 | py | Python | 21-merge-two-sorted-lists/21-merge-two-sorted-lists.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 21-merge-two-sorted-lists/21-merge-two-sorted-lists.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 21-merge-two-sorted-lists/21-merge-two-sorted-lists.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def mergeTwoLists(self, list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
dummy = cur = ListNode(0)
while(... | 35.464286 | 104 | 0.477341 |
a1d8e6a78158d3fb7b43305785b382365855a29a | 359 | py | Python | test/unit/raw_test.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | test/unit/raw_test.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | test/unit/raw_test.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | #
# RawIO
# Copyright (c) 2021 Yusuf Olokoba.
#
from pytest import fixture, mark
from rawio.raw import rawread
@mark.parametrize("image_path", [
"test/media/raw/1.arw",
"test/media/raw/2.arw",
"test/media/raw/3.cr2",
"test/media/raw/4.cr2",
])
def test_single_raw (image_path):
image = rawrea... | 19.944444 | 37 | 0.660167 |
1a030510e1be797d63514a6abf99678253a1065b | 1,124 | py | Python | other/re-risky/directors-cut/spoilers_and_source/src/gen_loader.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | other/re-risky/directors-cut/spoilers_and_source/src/gen_loader.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | other/re-risky/directors-cut/spoilers_and_source/src/gen_loader.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | #!/usr/bin/python
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 27.414634 | 74 | 0.659253 |
1a10415b3afb0bc2de1b1e6afb0a45088fb5e402 | 1,277 | py | Python | listings/chapter03/albums.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter03/albums.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter03/albums.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | class Album:
def __init__(self, artist, title, year, remarks = None):
self.artist = artist
self.title = title
self.year = year
self.remarks = remarks
def __eq__(self, other):
return self.artist == other.artist and self.title == other.title
def __lt__(self, other):
... | 29.022727 | 103 | 0.606891 |
c518117f2879e9bb0ecbace3ffa683065c1212e2 | 4,298 | py | Python | reports/iftomm_dach/code/models/fcn.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2020-04-17T12:27:06.000Z | 2020-04-17T12:27:06.000Z | reports/iftomm_dach/code/models/fcn.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2022-02-27T13:13:17.000Z | 2022-02-27T13:13:17.000Z | reports/iftomm_dach/code/models/fcn.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | null | null | null | """
Add a variable input layer to the beginning.
The first four layers of the old model are convolutional layers and do not need
to be altered in any way.
After they are appended the shape of the flattened layer is determined,
which is then used to determine the shape of the only hidden dense layer.
The output layer is... | 39.796296 | 125 | 0.670312 |
3d88d7924e81a5c0d7d177f1f3fbe6875643b242 | 7,472 | py | Python | taren_gui.py | ThirtySomething/TaRen | ef09e8616c45bcb97afcea3ad4844ae6fade7525 | [
"MIT"
] | null | null | null | taren_gui.py | ThirtySomething/TaRen | ef09e8616c45bcb97afcea3ad4844ae6fade7525 | [
"MIT"
] | null | null | null | taren_gui.py | ThirtySomething/TaRen | ef09e8616c45bcb97afcea3ad4844ae6fade7525 | [
"MIT"
] | null | null | null | '''
******************************************************************************
Copyright 2020 ThirtySomething
******************************************************************************
This file is part of TaRen.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and ... | 39.326316 | 192 | 0.652436 |
b115a89b567c07ad95985ecbbe22196b2fbc1e0d | 4,839 | py | Python | tests/embeddings/test_token_embedding.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | tests/embeddings/test_token_embedding.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | tests/embeddings/test_token_embedding.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # 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 required by appli... | 36.659091 | 75 | 0.693118 |
b17ce932150a7ba4c2566b2f829ec9824f9ec4da | 4,035 | py | Python | src/regModel.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | src/regModel.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | 3 | 2020-03-24T18:18:21.000Z | 2021-08-23T20:37:09.000Z | src/regModel.py | saeyoung/tslb | 5f52646260e14f44c61a670cfc75509951e5e794 | [
"MIT"
] | null | null | null | ######################################################
#
# Regression Model
#
######################################################
import numpy as np
import pandas as pd
import random
import copy
import pickle
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression
from numpy.linalg imp... | 37.018349 | 153 | 0.586121 |
b183630201c682dcabb6e1a2619a8447325196fd | 352 | py | Python | INBa/2015/Ermashov_A_V/task_2_5.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Ermashov_A_V/task_2_5.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Ermashov_A_V/task_2_5.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №2, Вариант 5
#Напишите программу, которая будет выводить на экран наиболее понравившееся вам высказывание, автором которого является Сюнь-цзы. Не забудьте о том, что автор должен быть упомянут на отдельной строке.
#Ермашов А.В.
#26.04.2016
print("В учении нельзя останавливаться\n\t\t\t\t\t\t\t\tСюнь-цзы")
inp... | 44 | 200 | 0.778409 |
b19cf2041086b66a826bdd02261f44a880a1c824 | 615 | py | Python | measures/cosine_distance.py | ryuzakyl/tf_idf | 48adffa994516df6b6321641915252e3bc2e2dfe | [
"MIT"
] | null | null | null | measures/cosine_distance.py | ryuzakyl/tf_idf | 48adffa994516df6b6321641915252e3bc2e2dfe | [
"MIT"
] | null | null | null | measures/cosine_distance.py | ryuzakyl/tf_idf | 48adffa994516df6b6321641915252e3bc2e2dfe | [
"MIT"
] | null | null | null | import numpy as np
def cosine(x, y):
"""Cosine distance among two vectors.
Args:
x (list): The first vector.
y (list): The second vector.
Returns:
float: The cosine distance between vectors x and y.
"""
# converting python lists to numpy arrays
x_arr = np.array(x)
... | 21.206897 | 59 | 0.627642 |
65e4269fd07a7451d53c4f7dc946e41e254202a0 | 1,634 | py | Python | pratica2_2/gerenciador_recursos.py | samcost/POO | 5c280407abb7aa9db1c82e52c34fd372465e8fe2 | [
"MIT"
] | null | null | null | pratica2_2/gerenciador_recursos.py | samcost/POO | 5c280407abb7aa9db1c82e52c34fd372465e8fe2 | [
"MIT"
] | null | null | null | pratica2_2/gerenciador_recursos.py | samcost/POO | 5c280407abb7aa9db1c82e52c34fd372465e8fe2 | [
"MIT"
] | null | null | null | class GerenciadorRecursos:
def __init__(self):
self._recursos = []
def _busca_recurso(self, nome):
'''
Retorna um recurso que tenha como
nome o parâmetro informado.
'''
for r in self._recursos:
if r.nome == nome:
return r
else... | 22.383562 | 58 | 0.501836 |
0291f87916b00830e64f9bfe1dc33ad631f53075 | 1,315 | py | Python | nz_crawl_demo/day2/renren.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day2/renren.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day2/renren.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from urllib import request
headers = {
"User-Agent":"Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; en) Presto/2.8.131 Version/11.11",
"Cookie":"anonymid=k7lk0d66y5mtud; depovince=NMG; jebecookies=15f53123-f0c7-4def-89b5-0fa3944825fb|||||; _r01_=1; ick_login=aec74675-5f38-424e-88ec-16d2089c5704; taihe_bi_sdk... | 87.666667 | 876 | 0.807605 |
029ec5d8f09e8acd18419cff8ed77777d65a97be | 15,295 | py | Python | src/onegov/town6/homepage_widgets.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/homepage_widgets.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town6/homepage_widgets.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from collections import namedtuple
from onegov.event import OccurrenceCollection
from onegov.form import FormCollection
from onegov.org.elements import Link, LinkGroup
from onegov.org.layout import EventBaseLayout
from onegov.org.homepage_widgets import NewsWidget as OrgNewsWidget, \
get_lead, DirectoriesWidget a... | 33.32244 | 79 | 0.440928 |
02f7be81604f8999249542fb46854edf6acc1c90 | 715 | py | Python | pacman-arch/test/pacman/tests/sync141.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/sync141.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/sync141.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Sysupgrade with ignored package prevent other upgrade"
lp1 = pmpkg("c_glibc", "1.0-1")
lp2 = pmpkg("b_gcc-libs", "1.0-1")
lp2.depends = ["c_glibc>=1.0-1"]
lp3 = pmpkg("a_pcre", "1.0-1")
lp3.depends = ["b_gcc-libs"]
for p in lp1, lp2, lp3:
self.addpkg2db("local", p)
sp1 = pmpkg("c_glibc", "1.0-2"... | 26.481481 | 74 | 0.655944 |
ac23ecb81a8cde5c04f9a0f2dfde789b58e602d0 | 7,052 | py | Python | Utils/py/ball_detector/experiments/util.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/ball_detector/experiments/util.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/ball_detector/experiments/util.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import patchReader
import json
import os
import sys
import getopt
import math
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as ptc
import features as feat
show_size = (50, 30) # width, height
patch_size = (12, 12) # width, height
def get_marker(x, y, c):
pos = ... | 28.435484 | 96 | 0.604935 |
ce0aac2e063f9e3d1517b0f331797e84efa31029 | 1,533 | py | Python | ladon-server/software/src/python/kafka-file-wrapper/ChunkBucket.py | LucasRGoes/ladon-io | ab55219b461e918cc0ba45e6cdc9bcdfbce8c0d6 | [
"MIT"
] | 1 | 2018-04-29T22:33:42.000Z | 2018-04-29T22:33:42.000Z | ladon-server/software/src/python/kafka-file-wrapper/ChunkBucket.py | LucasRGoes/ladon-io | ab55219b461e918cc0ba45e6cdc9bcdfbce8c0d6 | [
"MIT"
] | null | null | null | ladon-server/software/src/python/kafka-file-wrapper/ChunkBucket.py | LucasRGoes/ladon-io | ab55219b461e918cc0ba45e6cdc9bcdfbce8c0d6 | [
"MIT"
] | null | null | null | ## IMPORTS ##
import logging # Logging: provides a set of convenience functions for simple logging usage
## CLASS ##
class ChunkBucket:
# __init__
# --------
# Initializes an instance of ChunkBucket
def __init__(self):
# Creates logger
self.__logger = logging.getLogger("ChunkBucket")
# Creates bucket
se... | 20.171053 | 90 | 0.673842 |
ce18ded9ecf6d34b2788d05e01857f6ac97a640a | 486 | py | Python | fizzbuzz/test_fizzbuzz.py | tijeff/py-fizzbuzz | 1a42704fcdc190fd423291d8c76f7dcce9c5f884 | [
"Apache-2.0"
] | null | null | null | fizzbuzz/test_fizzbuzz.py | tijeff/py-fizzbuzz | 1a42704fcdc190fd423291d8c76f7dcce9c5f884 | [
"Apache-2.0"
] | null | null | null | fizzbuzz/test_fizzbuzz.py | tijeff/py-fizzbuzz | 1a42704fcdc190fd423291d8c76f7dcce9c5f884 | [
"Apache-2.0"
] | null | null | null | from unittest import TestCase
from fizzbuzz import FizzBuzz
class TestFizzBuzz(TestCase):
def setUp(self):
self.fizzbuzz = FizzBuzz
def test_first(self):
self.assertEqual("1", self.fizzbuzz.say(1))
def test_fizz_3(self):
self.assertEqual("Fizz", self.fizzbuzz.say(3))
def tes... | 24.3 | 59 | 0.676955 |
ce701b84e5f770080040ddb421b2b08b9e438ae0 | 161 | py | Python | pages/themes/beginners/logicalExpressionsAndConditionalStatements/labs/for_loop.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | pages/themes/beginners/logicalExpressionsAndConditionalStatements/labs/for_loop.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | pages/themes/beginners/logicalExpressionsAndConditionalStatements/labs/for_loop.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | numbers = [1, 2, 3, 4, 5, 2, 4]
sum = 0
for i in numbers:
if i% 2 == 0:
sum += i
print("sum of even numbers in {} is {}".format(numbers, sum))
| 14.636364 | 61 | 0.503106 |
0b1f7ed9d9586b42354664be15bbc4b6b25de31a | 548 | py | Python | educa/courses/migrations/0005_auto_20171129_0120.py | alvarocneto/educa_packt | 723a0e975ef5a816b6847054d558dcbb5afc3d11 | [
"MIT"
] | null | null | null | educa/courses/migrations/0005_auto_20171129_0120.py | alvarocneto/educa_packt | 723a0e975ef5a816b6847054d558dcbb5afc3d11 | [
"MIT"
] | null | null | null | educa/courses/migrations/0005_auto_20171129_0120.py | alvarocneto/educa_packt | 723a0e975ef5a816b6847054d558dcbb5afc3d11 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-11-29 01:20
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('courses', '0004_course_students'),
]
operations = ... | 24.909091 | 115 | 0.658759 |
5024572253118a334a2d377a45b231248f07e168 | 5,248 | py | Python | pyind/trush.py | chankane/pyind | 742bc671d3552d778024662867b64e32ae9bca9d | [
"MIT"
] | null | null | null | pyind/trush.py | chankane/pyind | 742bc671d3552d778024662867b64e32ae9bca9d | [
"MIT"
] | null | null | null | pyind/trush.py | chankane/pyind | 742bc671d3552d778024662867b64e32ae9bca9d | [
"MIT"
] | null | null | null | def roulette(pop, sel_rate, eval_func):
ftns = _calc_ftns(pop, eval_func)
sel_num = _calc_sel_num(pop, sel_rate)
r = np.random.rand(sel_num) * ftns.sum()
return pop[(ftns.cumsum()[:, np.newaxis] < r).sum(axis=0)]
def swap_idx(pop, mut_pb):
#r = np.random.ranf(pop.shape)
r = np.array([
... | 21.596708 | 88 | 0.511242 |
502e3f4efc19515690b8bc5e2cf83cd5d1fcf1ed | 2,923 | py | Python | Tests/test_simulations/test_XorBinarySimulation.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | Tests/test_simulations/test_XorBinarySimulation.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | Tests/test_simulations/test_XorBinarySimulation.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | import numpy as np
from savageml.simulations import SimulationState
from savageml.simulations import BinaryXorSimulation
def test_initial_state_initialized():
simulation = BinaryXorSimulation()
assert simulation.get_state() == SimulationState.INITIALIZED
def test_state_after_run_completed():
simulation... | 30.447917 | 110 | 0.711598 |
4a0652fa37fb240ac38227f0544715072c48cd9c | 2,316 | py | Python | SQL_python/DataBasePython/createTab.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | SQL_python/DataBasePython/createTab.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | SQL_python/DataBasePython/createTab.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | import psycopg2
#from config import config
def create_tables():
commands = (
"""
CREATE TABLE vendeur (
vendeur_id SERIAL PRIMARY KEY,
vendeur_name VARCHAR(255) NOT NULL
)
""",
""" CREATE TABLE parts (
part_id SERIAL PRIMARY KEY... | 24.378947 | 103 | 0.501295 |
4a244403a5d8e917f59000c35cf32c0f8b15ebb8 | 2,187 | py | Python | src/classifier/classifier_training/classifier_utils.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/classifier/classifier_training/classifier_utils.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/classifier/classifier_training/classifier_utils.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | import torch
import numpy as np
import xgboost as xgb
from sklearn.ensemble import RandomForestClassifier
from src.classifier.lstm.lstm_classifier import RegardLSTM
from src.classifier.sent_transformer.sbert_classifier import RegardBERT
def get_classifier(model_params, model_type, n_embed, weight_vector=None, classe... | 34.714286 | 88 | 0.652492 |
8c8b9d85c4bac8d12bf807e0df0bc6f5acd95ee9 | 1,442 | py | Python | src/onegov/ballot/models/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ballot/models/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ballot/models/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ OneGov Ballot models the aggregated results of Swiss ballots and elections.
It takes hints from the eCH-0110 & eCH-0155 Standards.
See:
`eCH-0155: Datenstandard politische Rechte \
<http://www.ech.ch/vechweb/page?p=dossier&documentNumber=eCH-0155>`_
"""
from onegov.ballot.models.election import Candidate
from on... | 32.044444 | 79 | 0.784327 |
509f5c8e735ca8575422f41a198272dc6354eaf9 | 169 | py | Python | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/vowel_count.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/vowel_count.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/vowel_count.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | vowels='aeiou'
ip_str="Hello,How are u doing?"
ip_str=ip_str.casefold()
count={}.fromkeys(vowels,0)
for char in ip_str:
if char in count:
count[char]+=1
print(count) | 18.777778 | 31 | 0.721893 |
e8bff75489f5cab2cac32f163d791c00554ed4ae | 1,257 | py | Python | reader.py | oguzdemir/MovieFetcher | 53fae62bdb5abcfb4ad9bf704c6d3aa0478abcc7 | [
"MIT"
] | null | null | null | reader.py | oguzdemir/MovieFetcher | 53fae62bdb5abcfb4ad9bf704c6d3aa0478abcc7 | [
"MIT"
] | null | null | null | reader.py | oguzdemir/MovieFetcher | 53fae62bdb5abcfb4ad9bf704c6d3aa0478abcc7 | [
"MIT"
] | null | null | null | import os
if __name__ == "__main__":
path = "Data"
if path != "":
if not os.path.exists(path):
os.makedirs(path)
os.chdir(path)
list = []
for subdir, dirs, files in os.walk(os.path.abspath(path)):
for dir in dirs:
print dir
movie_map =... | 28.568182 | 78 | 0.451074 |
ad59d87e551e02f1b9506d15a095d61bdf95e92f | 389 | py | Python | python/decorator/classes_as_decorators.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/decorator/classes_as_decorators.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/decorator/classes_as_decorators.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import functools
class CountCalls:
def __init__(self, func):
self.func = func
self.num_calls = 0
def __call__(self, *args, **kwargs):
self.num_calls += 1
print(f'Call {self.num_calls} of {self.func.__name__!r}')
return self.func(*args, **kwargs)
@CountCalls
def say()... | 15.56 | 65 | 0.604113 |
d173796022c68e934d983f6606535e1fb987e475 | 855 | py | Python | Agent5/No simulation forward kin/trainer_Agent5.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | Agent5/No simulation forward kin/trainer_Agent5.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | Agent5/No simulation forward kin/trainer_Agent5.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import gym
from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import DummyVecEnv
from stable_baselines.common.vec_env import SubprocVecEnv
from stable_baselines import PPO2
from forward_kin_Agent4 import PandaRobotGymEnv
import numpy as np
policy_name = ... | 30.535714 | 115 | 0.762573 |
ade9f4e531feb2b95b21b07f6444367e752a2106 | 97 | py | Python | selfservice/apps.py | KSIUJ/erc-backend | a78a6ee85c2865c8d25c15f40dc72fe32ba4bfd3 | [
"MIT"
] | null | null | null | selfservice/apps.py | KSIUJ/erc-backend | a78a6ee85c2865c8d25c15f40dc72fe32ba4bfd3 | [
"MIT"
] | 5 | 2020-10-10T00:21:37.000Z | 2021-09-22T18:01:46.000Z | selfservice/apps.py | KSIUJ/erc-backend | a78a6ee85c2865c8d25c15f40dc72fe32ba4bfd3 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class SelfserviceConfig(AppConfig):
name = 'selfservice'
| 16.166667 | 35 | 0.773196 |
cbaf4eaf995342baaf4e25ff18bed65a9367c497 | 91 | py | Python | djangoForm/treasury/apps.py | lanuxos/djangoForm | 4a0f02eaf27735c7eaaa4c282426cc911e2a399a | [
"MIT"
] | null | null | null | djangoForm/treasury/apps.py | lanuxos/djangoForm | 4a0f02eaf27735c7eaaa4c282426cc911e2a399a | [
"MIT"
] | null | null | null | djangoForm/treasury/apps.py | lanuxos/djangoForm | 4a0f02eaf27735c7eaaa4c282426cc911e2a399a | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class TreasuryConfig(AppConfig):
name = 'treasury'
| 15.166667 | 33 | 0.758242 |
3821e27b03ceca1c3bf03022287f04d6677d012b | 697 | py | Python | source/pkgsrc/devel/py-requests/patches/patch-requests_____init____.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/devel/py-requests/patches/patch-requests_____init____.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/devel/py-requests/patches/patch-requests_____init____.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-requests_____init____.py,v 1.8 2020/12/18 08:22:39 adam Exp $
* Add workaround for segfault of security/py-certbot on NetBSD/amd64
7.0.2 and 7.99.53. It seems that the real root cause is in
security/py-OpenSSL or OpenSSL. However I do not find how to fix it.
This is introduced in https://github.c... | 36.684211 | 76 | 0.713056 |
3874baaa82668daa0d60d69935d186164c7ce80e | 9,434 | py | Python | algos/global_shift.py | weberja/praktikum_graphen | da3ecefdf1327078697e3787cfe19414a9ac13c4 | [
"Apache-2.0"
] | 1 | 2021-07-22T10:28:40.000Z | 2021-07-22T10:28:40.000Z | algos/global_shift.py | weberja/praktikum_graphen | da3ecefdf1327078697e3787cfe19414a9ac13c4 | [
"Apache-2.0"
] | null | null | null | algos/global_shift.py | weberja/praktikum_graphen | da3ecefdf1327078697e3787cfe19414a9ac13c4 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 Jan Westerhoff
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 31.238411 | 111 | 0.566038 |
3880b6bea4886880be4c58f17d770a234abab22a | 319 | py | Python | files/validators.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | files/validators.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | files/validators.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | from django.core.exceptions import ValidationError
def validate_extension(value):
value= str(value)
if value.endswith(".csv") != True and value.endswith(".xls") != True and value.endswith(".xlsx") != True:
raise ValidationError("Only csv, xls, and xlsx are supported")
else:
return value | 39.875 | 110 | 0.680251 |
38c5cb767b71b1910dce7ac6dcee09cca58a3506 | 344 | py | Python | 2164-sort-even-and-odd-indices-independently/2164-sort-even-and-odd-indices-independently.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 2164-sort-even-and-odd-indices-independently/2164-sort-even-and-odd-indices-independently.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 2164-sort-even-and-odd-indices-independently/2164-sort-even-and-odd-indices-independently.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def sortEvenOdd(self, nums: List[int]) -> List[int]:
odd = sorted([num for i, num in enumerate(nums) if i%2==1], reverse=True)
even = sorted([num for i, num in enumerate(nums) if i%2==0], reverse=False)
output = [None]*len(nums)
output[::2]=even
output[1::2]=o... | 43 | 83 | 0.587209 |
2a6b93beac0a7c6f635e673696c233c146dade80 | 2,136 | py | Python | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/heads/roi_extractor.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 5 | 2022-01-30T07:35:58.000Z | 2022-02-08T05:45:20.000Z | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/heads/roi_extractor.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-01-14T02:33:28.000Z | 2022-01-14T02:33:28.000Z | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/heads/roi_extractor.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-01-24T16:27:01.000Z | 2022-01-24T16:27:01.000Z | # 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 required by app... | 38.142857 | 74 | 0.54073 |
2ac5ee7de150f79d803bc3feb38b4655eb95b12d | 707 | py | Python | day09/blind_auction.py | nurmatthias/100DaysOfCode | 22002e4b31d13e6b52e6b9222d2e91c2070c5744 | [
"Apache-2.0"
] | null | null | null | day09/blind_auction.py | nurmatthias/100DaysOfCode | 22002e4b31d13e6b52e6b9222d2e91c2070c5744 | [
"Apache-2.0"
] | null | null | null | day09/blind_auction.py | nurmatthias/100DaysOfCode | 22002e4b31d13e6b52e6b9222d2e91c2070c5744 | [
"Apache-2.0"
] | null | null | null | from blind_auction_fnc import clear_screen
from blind_auction_art import logo
#HINT: You can call clear() to clear the output in the console.
print(logo)
bids = {}
bidding_finished = False
while bidding_finished:
name = input("What is your name?\n")
price = input("How many do you want to bid? $")
bids[... | 22.806452 | 63 | 0.673267 |
2de5ee5db023f3498c77aad23b702ecb8d9f60ef | 4,176 | py | Python | Practice-2019-04-20/oracle.py | serge-sotnyk/nlp-practice | e38400590a3fcf140a73d6871a778b3c2115a2fe | [
"MIT"
] | 3 | 2019-11-25T09:56:48.000Z | 2021-01-18T13:18:17.000Z | Practice-2019-04-20/oracle.py | serge-sotnyk/nlp-practice | e38400590a3fcf140a73d6871a778b3c2115a2fe | [
"MIT"
] | null | null | null | Practice-2019-04-20/oracle.py | serge-sotnyk/nlp-practice | e38400590a3fcf140a73d6871a778b3c2115a2fe | [
"MIT"
] | 2 | 2020-05-17T17:22:14.000Z | 2020-09-23T08:31:46.000Z | from collections import OrderedDict
from enum import Enum
from itertools import zip_longest
from typing import List
from conllu import TokenList
from conlu_reader import read_trees
class Actions(Enum):
SHIFT = "SHIFT"
REDUCE = "REDUCE"
RIGHT = "RIGHT"
LEFT = "LEFT"
class Oracle:
ROOT = Ordered... | 35.092437 | 97 | 0.521552 |
35d6968da2177a2fc088c946ef4f0914f67e95a0 | 2,103 | py | Python | publ/links.py | PlaidWeb/Publ | 67efc5e32bf25dbac72a83d1167de038b79db5a7 | [
"MIT"
] | 27 | 2018-11-30T21:32:26.000Z | 2022-03-20T19:46:25.000Z | publ/links.py | PlaidWeb/Publ | 67efc5e32bf25dbac72a83d1167de038b79db5a7 | [
"MIT"
] | 249 | 2018-09-30T07:04:37.000Z | 2022-03-29T04:31:00.000Z | publ/links.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | 4 | 2019-03-01T06:46:13.000Z | 2019-06-30T17:45:46.000Z | # links.py
""" Functions for manipulating outgoing HTML links """
import os
import re
import typing
from urllib.parse import urljoin
from flask import request
from . import entry # pylint:disable=cyclic-import
from . import image, model, utils
from .config import config
def resolve(path: str, search_path: typing.... | 28.418919 | 99 | 0.65145 |
577b656c229f72f9a7d26212f2d362dd2cf8c4be | 2,363 | py | Python | research/nlp/gpt2/convert_tf_ckpt/read_weight_tf.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/gpt2/convert_tf_ckpt/read_weight_tf.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/gpt2/convert_tf_ckpt/read_weight_tf.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... | 33.757143 | 86 | 0.665256 |
57d310befc003c114e8559f1bab4ab5e5e68dca8 | 3,767 | py | Python | official/cv/yolov5/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/yolov5/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/yolov5/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 42.806818 | 113 | 0.696576 |
57eaecf837603c3f68c2c815cbb87917e9a96d00 | 334 | py | Python | exercises/es/test_02_10_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/test_02_10_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/test_02_10_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"doc1.similarity(doc2)" or "doc2.similarity(doc1)" in __solution__
), "¿Estás comparando la similitud entre los dos docs?"
assert (
0 <= float(similarity) <= 1
), "El valor de la similitud debe ser de punto flotante. ¿Lo calculaste correctamente?"
__msg__.good("¡... | 37.111111 | 91 | 0.646707 |
352329d455b72ef611641e837a1ce200cedbce65 | 15,099 | py | Python | Math-Ma-MSTAT/maketexable.py | oakoneric/mathTUD | 350d53b18ea2dff9ab2e75c6e21489b20e8a4f39 | [
"MIT"
] | 4 | 2020-01-18T14:35:03.000Z | 2021-11-30T00:19:53.000Z | Math-Ma-MSTAT/maketexable.py | oakoneric/mathTUD | 350d53b18ea2dff9ab2e75c6e21489b20e8a4f39 | [
"MIT"
] | 1 | 2020-03-19T12:09:05.000Z | 2020-03-19T12:09:05.000Z | Math-Ma-MSTAT/maketexable.py | oakoneric/mathTUD | 350d53b18ea2dff9ab2e75c6e21489b20e8a4f39 | [
"MIT"
] | 3 | 2020-02-18T20:03:25.000Z | 2021-11-30T00:20:26.000Z | #!/usr/bin/python3
import sys
import heapq
ALPHABET = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ*"
# TODO: automatic abbreviation handling
# TODO: math mode detection. E.g. for warning for \\ outside of mathmode
# TODO: in warning function externalise and make more general option of
# ignoring. Then usefu... | 36.12201 | 105 | 0.46566 |
109a615869fd19c22f50768f1dc432559e6cbcb0 | 4,177 | py | Python | weibo.py | chaodada/weibo_login | de17ff5a2f98611aa50d80cc50f7fa1aeb421c50 | [
"MIT"
] | 2 | 2020-05-14T02:42:20.000Z | 2020-06-16T00:10:05.000Z | weibo.py | chaodada/weibo_login | de17ff5a2f98611aa50d80cc50f7fa1aeb421c50 | [
"MIT"
] | null | null | null | weibo.py | chaodada/weibo_login | de17ff5a2f98611aa50d80cc50f7fa1aeb421c50 | [
"MIT"
] | null | null | null | import base64
import re
from binascii import b2a_hex
from requests_toolbelt.utils import dump
import requests
import time
import rsa
class LoginWeibo():
def __init__(self,username,password):
self.username=username
self.password=password
#session设置
self.session=requests.session()
... | 38.675926 | 158 | 0.612401 |
f4f15b8e319d031ca6aa0fd9ed7e6dfa5532c6c3 | 671 | py | Python | components/little_ui/example/lvgl_pytest.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | components/little_ui/example/lvgl_pytest.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | components/little_ui/example/lvgl_pytest.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null |
#lvgl python test case
import lvgl as lv
lv.init()
import display
display.init()
draw_buf = lv.disp_draw_buf_t()
buf1_1 = bytearray(51200)
buf1_2 = bytearray(51200)
draw_buf.init(buf1_1, buf1_2, 25600)
disp_drv = lv.disp_drv_t()
disp_drv.init()
disp_drv.draw_buf = draw_buf
disp_drv.flush_cb = display.flush
disp_drv.ho... | 23.137931 | 49 | 0.766021 |
528df69cd63a06dac71506fc6a1062d552428f42 | 3,613 | py | Python | research/cv/glore_res200/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/glore_res200/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/glore_res200/eval.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... | 40.595506 | 114 | 0.701633 |
0d7812bea19b31e0e9930222daad0d8922c25687 | 1,536 | py | Python | yolov5-coreml-tflite-converter/inference-python/test_tflite.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | yolov5-coreml-tflite-converter/inference-python/test_tflite.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | yolov5-coreml-tflite-converter/inference-python/test_tflite.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | import argparse
import logging
from pathlib import Path
from constants import RED, END_COLOR, DEFAULT_MODEL_OUTPUT_DIR
from test_model import ModelTest
def test_tflite(reference_model, model_dir, img_dir, verbose):
logging.basicConfig(format='%(asctime)s %(message)s', datefmt="%Y-%m-%d %H:%M:%S", level=logging.I... | 39.384615 | 117 | 0.655599 |
638ee1b45211a34d8c58b4c66700969d3538e06a | 92 | py | Python | 2015/04/cancer-exercise-rate/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2015/04/cancer-exercise-rate/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2015/04/cancer-exercise-rate/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 = '16t3L-9UF_ve6fkY2cPj7YInjHmlBa487jnslXZc9fVc'
| 23 | 68 | 0.836957 |
63abbe0045a34c4b49cc4e17ebe169c04b283d57 | 1,861 | py | Python | TestBot/test_cogs/poketcgFunctions/packs.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | TestBot/test_cogs/poketcgFunctions/packs.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | TestBot/test_cogs/poketcgFunctions/packs.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | from random import choice, choices
from .sets import Set, get_set
from .card import Card, get_cards_with_query
from .. import log
rarity_mapping = {
'Rare': 75,
'Rare ACE': 10,
'Rare BREAK': 10,
'Rare Holo': 25,
'Rare Holo EX': 12,
'Rare Holo GX': 12,
'Rare Holo LV.X': 12,
'Rare Holo Star': 8,
'Rare Holo V': ... | 27.367647 | 78 | 0.677593 |
98920cc0a197e89a14c1a4b3e859cfffaac680f3 | 83 | py | Python | doku/apps.py | xJasonxy/einsatzdoku | 8af84446f99475519adaf803619f2c57174c517b | [
"MIT"
] | 1 | 2020-07-09T16:53:45.000Z | 2020-07-09T16:53:45.000Z | doku/apps.py | xJasonxy/Einsatzdoku | 8af84446f99475519adaf803619f2c57174c517b | [
"MIT"
] | null | null | null | doku/apps.py | xJasonxy/Einsatzdoku | 8af84446f99475519adaf803619f2c57174c517b | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class DokuConfig(AppConfig):
name = 'doku'
| 13.833333 | 33 | 0.73494 |
f6953de79bec4083e188185b14bd143ca1056628 | 660 | py | Python | Python/M01_ProgrammingBasics/L03_ConditionalStatementsAdvanced/Lab/Solutions/P13_SkiTrip.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L03_ConditionalStatementsAdvanced/Lab/Solutions/P13_SkiTrip.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L03_ConditionalStatementsAdvanced/Lab/Solutions/P13_SkiTrip.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | days = int(input())
room = input()
grade = input()
nights = days - 1
price = 0
if room == 'room for one person':
price = nights * 18
elif room == 'apartment':
if nights < 10:
price = (nights * 25) * 0.7
elif 10 <= nights < 15:
price = (nights * 25) * 0.65
else:
price = (nights ... | 20 | 36 | 0.521212 |
f604dba2caf981a78686d5a01f5f26b35a20df6a | 6,932 | py | Python | official_examples/Using_Spark_MLlib_to_Create_a_Precise_Recommendation_Application/code/trainmodelsp.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,045 | 2019-05-09T02:50:43.000Z | 2022-03-31T06:22:11.000Z | official_examples/Using_Spark_MLlib_to_Create_a_Precise_Recommendation_Application/code/trainmodelsp.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,468 | 2019-05-16T00:48:18.000Z | 2022-03-08T04:12:44.000Z | official_examples/Using_Spark_MLlib_to_Create_a_Precise_Recommendation_Application/code/trainmodelsp.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | # coding:utf-8
import collections
import json
import os
from collections import OrderedDict
import pyspark
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.mllib.recommendation import ALS, Rating
from pyspark.sql.functions import expr
import moxing as mox
obs_path = os.getenv('TRAIN_URL')
if obs_p... | 37.879781 | 694 | 0.679602 |
f620abcecdef84b65ec748ebb7f32c469d48cf46 | 283 | py | Python | webapp/dash_tutorial/markdown.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | webapp/dash_tutorial/markdown.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | webapp/dash_tutorial/markdown.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import dash
import dash_core_components as dcc
import dash_html_components as html
app = dash.Dash()
markdown_text = '''
### Dash and Markdown
A lot of text
'''
app.layout = html.Div([
dcc.Markdown(children=markdown_text)
])
if __name__ == '__main__':
app.run_server() | 14.15 | 40 | 0.710247 |
212908a1d46eebd51b2b3790023d08f973db911e | 1,110 | py | Python | crypto/rsa-goes-skrrrahh/release/rsa-goes-skrrrahh.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | 6 | 2021-02-18T15:07:55.000Z | 2022-02-04T01:38:10.000Z | crypto/rsa-goes-skrrrahh/rsa-goes-skrrrahh.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | null | null | null | crypto/rsa-goes-skrrrahh/rsa-goes-skrrrahh.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | null | null | null | from gmpy2 import *
import os, struct, time
def egcd(a, b):
if a == 0:
return (b, 0, 1)
g, y, x = egcd(b%a,a)
return (g, x - (b//a) * y, y)
def modinv(a, m):
g, x, y = egcd(a, m)
if g != 1:
raise Exception("No modular inverse")
return x%m
def generateN(randomST):
k1 = mpz_... | 21.346154 | 57 | 0.547748 |
b49644f6edd19f62f907cf7324312242489802ef | 13,123 | py | Python | webserver/osm_service.py | tarent/osm_service | 462f3d74d3ed16d307b65da6f24dcea5a982aacf | [
"Apache-2.0"
] | null | null | null | webserver/osm_service.py | tarent/osm_service | 462f3d74d3ed16d307b65da6f24dcea5a982aacf | [
"Apache-2.0"
] | null | null | null | webserver/osm_service.py | tarent/osm_service | 462f3d74d3ed16d307b65da6f24dcea5a982aacf | [
"Apache-2.0"
] | null | null | null | import json
import psycopg2
class OsmService:
def __init__(self, user, password, host, port, database):
self.user = user
self.password = password
self.host = host
self.port = port
self.database = database
self.__connectToDatabase()
def __connectToDatabase(self)... | 35.371968 | 164 | 0.5325 |
b4b00d702a4b6f48e29ecef196683e905a0eaa55 | 427 | py | Python | exercises/es/test_01_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/test_01_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/test_01_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
import spacy.tokens
import spacy.lang.en
assert isinstance(
nlp, spacy.lang.en.English
), "El objeto nlp debería ser un instance de la clase de inglés."
assert isinstance(
doc, spacy.tokens.Doc
), "¿Procesaste el texto con el objeto nlp para crear un doc?"
assert... | 30.5 | 84 | 0.665105 |
b4c035bc53f4761444f84637c83db5d37730b405 | 3,663 | py | Python | schloesser/ex06_07/GraphWrapper.py | appfs/appfs | 8cbbfa0e40e4d4a75a498ce8dd894bb2fbc3a9e3 | [
"MIT"
] | 11 | 2017-04-21T11:39:55.000Z | 2022-02-11T20:25:18.000Z | schloesser/ex06_07/GraphWrapper.py | appfs/appfs | 8cbbfa0e40e4d4a75a498ce8dd894bb2fbc3a9e3 | [
"MIT"
] | 69 | 2017-04-26T09:30:38.000Z | 2017-08-01T11:31:21.000Z | schloesser/ex06_07/GraphWrapper.py | appfs/appfs | 8cbbfa0e40e4d4a75a498ce8dd894bb2fbc3a9e3 | [
"MIT"
] | 53 | 2017-04-20T16:16:11.000Z | 2017-07-19T12:53:01.000Z | #!/usr/bin/env python
'''
Wrapper class for graph-tool to compute longest shortest path to a given node.
'''
from graph_tool.all import load_graph_from_csv
from misc import pop_next_destination
class GraphWrapper:
'''
A class containing methods to read in a graph and calculate the longest shortest path to a p... | 33 | 119 | 0.564838 |
2e9540e1da011e111d744c0d03c6d049b21e4f60 | 2,294 | py | Python | src/aemter/views.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 1 | 2021-12-20T20:15:26.000Z | 2021-12-20T20:15:26.000Z | src/aemter/views.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | null | null | null | src/aemter/views.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | null | null | null | from datetime import date
from django.shortcuts import render, get_object_or_404, redirect
from django.db.models import Q
from django.core.paginator import Paginator
from django.contrib import messages
from .models import Organisationseinheit, Unterbereich, Funktion
from mitglieder.models import MitgliedAmt
# Create y... | 45.88 | 236 | 0.747602 |
2ead1c57bd93d4b9b57eaaddb528c3da41125952 | 900 | py | Python | IF11C/ITT/Codes/walkingLight.py | Semoxeaa/sjsaueressig.github.io | 55f81360e1285b46bb67b89d16060479be297489 | [
"MIT"
] | 1 | 2021-12-13T08:07:14.000Z | 2021-12-13T08:07:14.000Z | IF11C/ITT/Codes/walkingLight.py | Semoxeaa/sjsaueressig.github.io | 55f81360e1285b46bb67b89d16060479be297489 | [
"MIT"
] | null | null | null | IF11C/ITT/Codes/walkingLight.py | Semoxeaa/sjsaueressig.github.io | 55f81360e1285b46bb67b89d16060479be297489 | [
"MIT"
] | null | null | null | # import modules
import time
import RPi.GPIO as GPIO
# setup pins
GPIO.setmode(GPIO.BOARD)
# GPIO.setwarnings(False)
Out = [16,12,7,8,25,24,23,18]
In = [5, 6, 13, 19]
directionRight = True
duration = 0.2
current = 0
for x in In:
GPIO.setup(x, GPIO.IN)
for y in Out:
GPIO.setup(y, GPIO.OUT)
def runLeft():
... | 20 | 51 | 0.602222 |
6cf7d9fdf67a892c0eb54961b10ddc9fd4aa44ea | 4,025 | py | Python | test/test_npu/test_network_ops/test_square.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_square.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_square.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... | 36.590909 | 76 | 0.625342 |
4c8269ebf2679a5fd8e7fcd560ff6e65acf97010 | 7,150 | py | Python | registration/api.py | shifenis/Insomniac | 7c9d572b83c29049bc3075073be5549fe821a739 | [
"MIT"
] | 533 | 2020-06-01T10:40:11.000Z | 2022-03-29T17:05:50.000Z | registration/api.py | shifenis/Insomniac | 7c9d572b83c29049bc3075073be5549fe821a739 | [
"MIT"
] | 399 | 2020-06-01T22:01:55.000Z | 2022-03-29T20:39:29.000Z | registration/api.py | shifenis/Insomniac | 7c9d572b83c29049bc3075073be5549fe821a739 | [
"MIT"
] | 166 | 2020-06-01T21:51:52.000Z | 2022-03-12T14:14:44.000Z | # This file provides the way of getting a phone number and an SMS confirmation code in "registration" process.
# The only two methods that should be exposed from this file are "get_phone_number" and "get_confirmation_code".
# You can find them at the end of this file. Choose one of ready-to-use implementations or creat... | 43.333333 | 128 | 0.687133 |
e29175b560c9134541337481afccd848b92856db | 959 | py | Python | source/pkgsrc/misc/calibre/patches/patch-setup_build.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/misc/calibre/patches/patch-setup_build.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/misc/calibre/patches/patch-setup_build.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-setup_build.py,v 1.3 2018/02/01 16:05:56 wiz Exp $
Fix linking against native X.
--- setup/build.py.orig 2016-09-29 10:28:31.000000000 +0000
+++ setup/build.py
@@ -368,6 +368,7 @@ class Build(Command):
INCLUDEPATH += {freetype}
DESTDIR = {destdir}
CONFIG -= create... | 41.695652 | 130 | 0.584984 |
e2b3ade66ab184a5ca9e4e422fe93685a225fb32 | 2,002 | py | Python | pockint-master/test.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 237 | 2019-04-25T07:15:07.000Z | 2022-02-16T23:23:38.000Z | pockint-master/test.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 35 | 2019-05-29T11:35:06.000Z | 2021-06-02T00:41:36.000Z | pockint-master/test.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 52 | 2019-05-30T15:18:53.000Z | 2021-12-21T11:07:28.000Z | import unittest
from utils import InputValidator
class TestValidator(unittest.TestCase):
def setUp(self):
self.validator = InputValidator()
def test_ip_validation(self):
output = self.validator.validate("192.168.1.1")
self.assertTrue(output[0][0])
self.assertEqual(output[0][1],... | 37.074074 | 108 | 0.671329 |
e2b914458715a56e973763cbdd2346940f7a87fb | 494 | py | Python | mumath/util.py | fourpoints/mumath | f1c36c4a5b3c32a3e7f8e7a922eafea8b7a14fd4 | [
"MIT"
] | null | null | null | mumath/util.py | fourpoints/mumath | f1c36c4a5b3c32a3e7f8e7a922eafea8b7a14fd4 | [
"MIT"
] | null | null | null | mumath/util.py | fourpoints/mumath | f1c36c4a5b3c32a3e7f8e7a922eafea8b7a14fd4 | [
"MIT"
] | null | null | null | from collections.abc import Iterable
from itertools import chain
def listify(var):
if var is None:
return ()
elif isinstance(var, str):
return tuple(var.split(","))
elif isinstance(var, Iterable):
return tuple(var)
else:
raise TypeError
def peek(it, default=None):
... | 19 | 36 | 0.59919 |
39367edfb03f363cddaf7212f04fb55c65fe1bfe | 1,098 | py | Python | source/pkgsrc/devel/py-pyobjc-core/patches/patch-setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/devel/py-pyobjc-core/patches/patch-setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/devel/py-pyobjc-core/patches/patch-setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-setup.py,v 1.2 2020/05/23 07:03:41 adam Exp $
Do not add debug symbols.
Do not override compiler optimiztion flags.
Avoid a hack.
--- setup.py.orig 2020-03-22 17:36:26.000000000 +0000
+++ setup.py
@@ -56,7 +56,6 @@ def get_sdk_level(sdk):
# CFLAGS for the objc._objc extension:
CFLAGS = [
- "-g",... | 31.371429 | 68 | 0.632058 |
1a9b2de093d26710433ac3586ccb2a954ba023f8 | 1,216 | py | Python | src/test/tests/session/textannot.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/session/textannot.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/session/textannot.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: textanot.py
#
# Tests: mesh - 2D curvilinear, single domain
# plots - Pseudocolor
#
# Notes: This test case uses a session file to set up a plot and create
# ... | 32 | 80 | 0.574013 |
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