content stringlengths 5 1.05M |
|---|
import json
import unittest
from yoti_python_sdk.doc_scan.session.create import RequestedFaceMatchCheckBuilder
from yoti_python_sdk.doc_scan.session.create.check.face_match import (
RequestedFaceMatchCheck,
)
from yoti_python_sdk.doc_scan.session.create.check.face_match import (
RequestedFaceMatchCheckConfig,
... |
def futdados(nome='Desconhecido', gols=0):
if str(gols).isnumeric():
gols = 0
return f'O jogador {nome} fez {gols} gol(s) no campeonato.'
nome = str(input('Nome do jogador: '))
gols = str(input('Quantidade de gols: '))
print(futdados(nome, gols))
|
from rest_framework import serializers
from content.serializers import ContentBaseSerializer
from generic.contenttypes_utils import reverse_contenttypes_url, add_contenttypes_info_from_context
from .models import *
class SerializerCommentsFieldMixin(serializers.Serializer):
'''
Adds fields 'comments' for hyp... |
from embedKB.models.base import GeneralFramework
import tensorflow as tf
class SingleLayer(GeneralFramework):
name = 'SingleLayer'
def __init__(self,
n_entities,
entity_embed_dim,
n_relationships,
relationship_dim,
relationshi... |
from discord.ext import commands
class Error(commands.Cog):
"""Basic class for catching errors and sending a message"""
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_command_error(self, ctx, error):
if isinstance(error, commands.ExpectedClosingQuoteErr... |
from WumpWorld import *
import random
"""
This is an alternative agent that uses less information than regular Agent.
It will be used as a control for comparisons.
"""
class ReactiveAgent:
def __init__(self, world, x, y, arrows):
self.world = world
self.pos = [x,y]
self.arrows = arrows
... |
number = input("Write a decimal number to be converted to binary \n")
binary = []
rest = int(number)
while rest != 0:
if rest % 2 == 0:
binary.append(str(0))
rest = rest/2
else:
binary.append(str(1))
rest = (rest - 1) / 2
print(''.join(binary[::-1])) |
# Copyright (c) 2015 Infoblox Inc.
# 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 require... |
# question can be found on leetcode.com/generate-a-string-with-characters-that-have-odd-counts/
class Solution:
def generateTheString(self, n: int) -> str:
if n // 2 == 1:
return "a" * (n - 2) + "b" + "c"
else:
return "a" * (n - 2) + "b"
|
import torch
import torchvision
import torchvision.transforms as transforms
import numpy as np
from halp.utils.utils import LP_DEBUG_EPOCH_LEN, DOUBLE_PREC_DEBUG_EPOCH_LEN
import sys
import logging
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
logger = logging.getLogger('')
def get_cifar10_data_loader(b... |
from backend.categories import Category
from backend.core import Project
def create_context():
context = {
'categories': Category.objects.all().prefetch_related('projects'),
'projects': Project.objects.all().select_related('category'),
}
return context |
# Copyright 2015-2016 Rick Harris
#
# 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 agree... |
import sys
import os
from torch.nn.functional import dropout
from nbvnet import NBV_Net
import torch
import numpy as np
import time
def get_single_view_point(path):
net = NBV_Net(dropout_prob=0)
checkpoint = torch.load('my_checkpoint.pth.tar',map_location = torch.device('cpu'))
net.load_state_di... |
#!/usr/bin/python
# brokergroupform_main.py
# Form to collect params for PreservationSimulation broker.py main UI page.
# Creates the crazy way-too-large form of broker options.
# Runs the program and may collect the results to show on the page.
import os
from bottle import route, run, template, request, get, post, \
... |
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.shortcuts import get_object_or_404, redirect, render
from .forms import CommentForm, PostForm
from .models import Group, Post, User, Follow
def index(request):
post_l... |
import torch
from torch.autograd.function import Function, InplaceFunction, once_differentiable
from torch._thnn import type2backend
class GRUFused(Function):
@staticmethod
def forward(ctx, input_gate, hidden_gate, hx, ibias=None, hbias=None):
ctx.backend = type2backend[type(input_gate)]
hy =... |
import os
from http.server import HTTPServer
try:
import threading
except ImportError:
import dummy_threading as threading
from socketserver import TCPServer
import time
import pytest
from pyzabbix import ZabbixAPI
from epics import ca
from . import zbxstreamserver
from .ioccontrol import IocControl
from .zbx... |
from flask import render_template, request
from flask.ext.login import login_required, current_user
from flask.json import jsonify
import rfk.database
from rfk.site.helper import permission_required, emit_error
from rfk.database.show import Tag
from rfk.helper.taglist import taglist
from ..admin import admin
@admi... |
#!/usr/bin/env python
# encoding: utf-8
"""
@version: python.3.6
@author: zhangjiaheng
@software: PyCharm
@time: 2017/9/19 10:55
"""
from selenium import webdriver
import os
#截图函数
def insert_img(driver,file_name):
base_dir = os.path.dirname(os.path.dirname(__file__))
base_dir = str(base_dir)
base_dir = ba... |
from bokeh.embed import components
from bson import ObjectId
from flask import Blueprint, render_template, request, session, url_for, flash
from pymodm.errors import ValidationError
from werkzeug.utils import redirect, secure_filename
from newsgac.common.back import back
from newsgac.pipelines.models import Pipeline
f... |
"""
Given a binary tree, return all root-to-leaf paths.
Note: A leaf is a node with no children.
Example:
Input:
1
/ \
2 3
\
5
Output: ["1->2->5", "1->3"]
Explanation: All root-to-leaf paths are: 1->2->5, 1->3
Solution:
1.DFS with recursion
2.BFS with stack [(node, current path)]
"""
# Definition... |
import inspect
import os
import sys
from abc import ABC, abstractmethod
from itertools import cycle
from functools import partial
from typing import Sequence, Tuple, Union, Optional
import numpy as np
import tensorflow as tf
from box import Box
from tensorflow.image import resize, random_crop
from tensorflow.keras.pre... |
#storage for simple assets
import quandl
import pandas as pd
try:
from quandl_set import *
except:
pass
def WR(data,period):
rhmax = data.Adj_High.rolling(window = period,center = False).max()
rmmin = data.Adj_Low.rolling(window = period,center = False).min()
return (rhmax-data.Adj_Close)/(rhmax-r... |
# Copyright (c) 2021 Alethea Katherine Flowers.
# Published under the standard MIT License.
# Full text available at: https://opensource.org/licenses/MIT
import argparse
import sys
import PIL.Image
import PIL.ImageDraw
import phomemo_m03.printer
import phomemo_m03._image_helper
def _テストイメージ生成(幅):
生成イメージ = PIL.... |
"""Collision geometry representation for multibody systems.
Each type of collision geometry is modeled as a class inheriting from the
``CollisionGeometry`` abstract type. Different types of inheriting geometries
will need to resolve collisions in unique ways, but one interface is always
expected: a list of scalars to ... |
"""
* The TE_detect class unlatches a backup battery and allows the mission_control program to continue
* Author: Aaron Borger <aborger@nnu.edu (307)534-6265>
"""
import RPi.GPIO as GPIO
#GPIO.setmode(GPIO.BCM)
INPUT_PIN = 16
LATCH_PIN = 19
class TE_detect:
def __init__(self):
pass
#GPIO.set... |
import cv2
import numpy as np
import scipy.fftpack
from helper_geometry import order_points, line_length
def four_point_transform(image, quad):
rect = order_points(quad)
# compute the width of the new image, which will be the
# maximum distance between bottom-right and bottom-left
# x-coordiates or the... |
################################################################################
# JobBoard: a simple Django-based job board
# Copyright (c) 2009, Imaginary Landscape
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided... |
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, Table, create_engine, exists, and_, func
from sqlalchemy.orm import relationship, sessionmaker
import os
from time import sleep
def clear():
return os.system('cls')
# Connection
keys = {
'DBM... |
"""
===========================
@-*- coding: utf-8 -*-
@ author: Shibo Zhou
@ time: :10:08, Oct 16 2021
@ email: szhou19@binghamton.edu
===========================
"""
import torch
from torch import nn
from torch.autograd import Variable
import pandas as pd
import numpy as np
import matplotlib as plt
from... |
# encoding: utf8
import os
import sys
import unittest
import tkinter as tk
import tkinter.ttk as ttk
pygubu_basedir = os.path.abspath(os.path.dirname(
os.path.dirname(os.path.realpath(sys.argv[0]))))
if pygubu_basedir not in sys.path:
sys.path.insert(0, pygubu_basedir)
import pygubu
import support
class Tes... |
import sqlScripts
import config
def createhdctTable():
sql_create_ichg_table = "CREATE TABLE " + config.table1 + """ (
);"""
# create a database connection
sql_create_detail_table = "CREATE TABLE " + config.table2 + """ (
... |
"""
Discussion: This has got to do with which part of the input current distribution
is transferred to the spiking activity.
Intuitive understanding is difficult but this relationship arises due to non-linearities
in the neuron F-I curve. When F-I curve is linear, output correlation is independent
of the mean and... |
import unittest
from StringIO import StringIO
from textwrap import dedent
import newick
import numpy as np
from least_squares_fit import post_order, read_distance_matrix
class DistanceMatrixTest(unittest.TestCase):
def setUp(self):
newick_str = '(((A:1, B:2)I:3.5, (C:4, D:5)J:6), E:7)K;'
self.tre... |
/home/runner/.cache/pip/pool/ed/03/90/3c98fa7b3215b32a4926b732caae3e98933da94b0e74e2ead3fc148800 |
import requests
from bs4 import BeautifulSoup
headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,... |
from django.contrib import admin
from django.contrib.contenttypes import generic
from django.forms.widgets import HiddenInput
from django.db.models import PositiveIntegerField
from relatedcontent.models import RelatedContent, Webpage
class RelatedContentInline(generic.GenericTabularInline):
classes = ('collapse c... |
# -*- coding: utf-8 -*-
from datetime import timedelta
from django.test import TestCase
from django.urls import reverse
from django_dynamic_fixture import fixture, get
from readthedocs.gold.models import LEVEL_CHOICES, GoldUser
from readthedocs.projects.models import Project
from readthedocs.rtd_tests.utils import cr... |
"""
Copyright (c) 2016-2019 Keith Sterling http://www.keithsterling.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, m... |
from torch.utils.data import Dataset
from PIL import Image
import os
import torch
label_map = {
150 : "001.Black_footed_Albatross", 0 : "002.Laysan_Albatross", 138 : "188.Pileated_Woodpecker",
1 : "003.Sooty_Albatross", 151 : "004.Groove_billed_Ani", 2 : "005.Crested_Auklet",
152 : "006.Least_Auklet", 3 : "0... |
from matplotlib import cm
from matplotlib.pyplot import subplots, show
from numpy import linspace, bincount, hstack, cumsum
from numpy.random import rand, random_integers
import numpy as np
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
from sklear... |
from functools import partial
import gin
import haiku as hk
import jax
import jax.numpy as jnp
import spax
from huf import initializers
from huf.module_ops import dropout
from jax.experimental.sparse.ops import COO
from grax.projects.gat import ops as gat_ops
configurable = partial(gin.configurable, module="gat")
... |
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 17 17:17:07 2019
@author: netzer
The script lets you dump a portion of transaction data stored in a MySQL db into
a csv file without getting into troubles with the cache (if the portion is huge).
The input consists of 2 dates ('YYYY-MON-DAY') i.e. the date rang... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-12-01 20:09
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('golf', '0068_auto_20171201_2008'),
]
operations = [
migrations.AddField(
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import operator
import collections
import math
import os
import random
import zipfile
import time
import numpy as np
from six.moves import urllib
from six.moves import xrange # pylint: disable=redefined-builtin... |
import os
import logging
from brainio import brainio
from imlib.register.niftyreg.transform import run_transform
from neuro.atlas_tools.paths import INVERSE_CONTROL_POINT
from neuro.atlas_tools.paths import BRAIN_FILTERED as default_atlas_name
def get_registered_image(nii_path, registration_dir, overwrite=False):
... |
DEBUG = True
ALLOWED_HOSTS = ["yourcomputer", "yourcomputer.local", "localhost", "127.0.0.1", "::1"]
DATABASES = {
"default": {
"ENGINE": "django.db.backends.mysql",
"NAME": "dracidoupe_cz",
"USER": "root",
"HOST": "db",
"PASSWORD": "docker",
"OPTIONS": {"charset": ... |
#!/usr/bin/python3
import os
import sys
#apt install python3-mysqldb
import MySQLdb
import time
import logging
import fcntl
##########MYSQL##
#classes#################################
class astm_file(object):
def get_link(self,my_host,my_user,my_pass,my_db):
con=MySQLdb.connect(my_host,my_user,my_pass,my_db)
... |
import glob
import time
import sys
from lib import command
from callbackFunc_multi import xbee_received
import datetime
import serial
import shared_multi as shared
from struct import pack,unpack
from xbee import XBee
from math import ceil,floor
import numpy as np
import scipy.io
# TODO: check with firmware if this val... |
def findDecision(obj): #obj[0]: Passanger, obj[1]: Weather, obj[2]: Temperature, obj[3]: Time, obj[4]: Coupon, obj[5]: Coupon_validity, obj[6]: Gender, obj[7]: Age, obj[8]: Maritalstatus, obj[9]: Children, obj[10]: Education, obj[11]: Occupation, obj[12]: Income, obj[13]: Bar, obj[14]: Coffeehouse, obj[15]: Restaurantl... |
import webbrowser
googleUrl: str = 'https://google.com/search?q='
ytUrl: str = 'https://youtube.com/results?search_query='
githubUrl: str = 'https://github.com/search?q='
soUrl: str = 'https://stackoverflow.com/search?q='
amz_inUrl: str = 'https://www.amazon.in/s?k='
amz_comUrl: str = 'https://www.amazon.com/s?... |
"""
stuff to run behave programmatically
"""
import os
import logging
import json
from behave import step_registry
from behave.configuration import Configuration, ConfigError
from behave.tag_expression import TagExpression
from behave.parser import ParserError
from behave.runner_util import FileNotFoundError,\
Inv... |
# Generated by Django 3.1.6 on 2021-02-13 13:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('account', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='user',
name='description',
... |
"""
Function to node transformer
"""
import ast
import inspect
from textwrap import dedent
from uuid import uuid4
from lute.node.base import Constant, Node, NodeMeta
def is_lambda(v) -> bool:
"""
Check for lambda. From https://stackoverflow.com/a/3655857
"""
LAMBDA = lambda: 0
return isinstance... |
from django.apps import AppConfig
class WeatherAverageConfig(AppConfig):
name = 'average_temperature'
|
from django.contrib.auth.models import AbstractUser
from django.core.validators import (
MaxLengthValidator,
MinLengthValidator,
RegexValidator,
)
from django.db import models
from django.utils.translation import gettext_lazy as _
from zeynep.auth.models.managers import UserManager
from zeynep.auth.models.... |
# V0
# V1
# https://blog.csdn.net/fuxuemingzhu/article/details/83422260
class Solution(object):
def longestMountain(self, A):
"""
:type A: List[int]
:rtype: int
"""
N = len(A)
inc = [1] * N
dec = [1] * N
for i in range(1, N):
if A[i] - A... |
#!/usr/bin/env python3
import getpass
import os
import websockets
import ssl
import asyncio
import socket
import sqlite3
import json
import configparser
import daemon
from mattermostdriver import (
Driver,
Websocket,
)
config = configparser.ConfigParser()
config.read("/etc/mattermost_daemon/config.ini")
matt... |
import os
import shutil
import unittest
import warnings
from eskapade import ConfigObject
from eskapade import process_manager
from eskapade import resources
from escore.core import execution, definitions, persistence
from eskapade.logger import LogLevel
class IntegrationTest(unittest.TestCase):
"""Base class for... |
class Solution:
def cleanStr(self, str) -> str:
while '#' in str:
for i in range(0, len(str)):
if str[i] == '#':
if i==0 and len(str)>1:
return self.cleanStr(str[i+1:])
elif i==0:
return self.... |
def main():
n=int(input())
a=list(map(int, input().split()))
mp=(None,None)
d=0
for i in range(0, n-1, 2):
if a[i+1] - a[i] > d:
mp=(i,i+1)
a[mp[0]], a[mp[1]] = a[mp[1]], a[mp[0]]
print(sum(a[::2]))
if __name__ == '__main__':
t=int(input())
for _ in range... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-03-03 22:28
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('gravity', '0002_tilt'),
]
... |
#!/usr/bin/env python
from jinja2 import Template
template = Template(open("story-long.jinja2").read())
story_vars = {
"c1": {
"title": "Princess",
"name": "Clara",
"p": "she",
"relation": "sister"
},
"c2": {
"title": "Prince",
"name": "Arthur",
"p": "he",
"relation": "brother"
},
"v1": {
"tit... |
import asyncio
import yaml
from discord.ext import commands
from aiohttp import web
class WebServer(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.app = web.Application()
self.app.router.add_get("/", self.index)
self.app.router.add_get("/guilds", self.guild_count)
... |
# -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-节点管理(BlueKing-BK-NODEMAN) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance ... |
# encoding: utf-8
"""
@author: zijun
@contact : zijun_sun@shannonai.com
@version: 1.0
@file: accuracy
@time: 2020/7/11 11:51
"""
from typing import Any, Optional
import torch
from pytorch_lightning.metrics.functional.classification import (
accuracy
)
from pytorch_lightning.metrics.metric import TensorMetric
... |
"""
Implements various flows.
Each flow is invertible and outputs its log abs det J^-1 "regularization"
via the log_det method.
The Jacobian's determinant measures the local change of volume (due to
stretching or squashing of space) under the flows transformation function
y = f(x). We take the inverse Jacobian because... |
import torch
from torch.utils.data import Dataset
class Memory(Dataset):
def __init__(self, states, actions, log_probs, rewards, advantages, values) -> None:
super().__init__()
self.states = states
self.actions = actions
self.log_probs = log_probs
self.rewards = rewards
... |
# --------------
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
# path- variable storing file path
#Code starts here
df = pd.read_csv(path)
df.head()
X=df.drop(['Price'],1)
y=df['Price'].copy()
X_train, X_test, y_train, y_test= train_test_split(X,y, test_size=0.... |
"""
training script for the proposed model.
author: David-Alexandre Beaupre
date: 2020-04-29
"""
import os
import argparse
import time as t
import datetime as dt
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.optim as optim
import utils.misc as misc
from datahandler.LITIV import LIT... |
import requests
from .baseclient import AbstractClient
import requests.packages.urllib3
requests.packages.urllib3.disable_warnings()
class Client(AbstractClient):
def __init__(self, verify_ssl_cert=False):
self.verify_ssl_cert = verify_ssl_cert
super(Client, self).__init__()
def post(self, u... |
"""Music app models"""
import os
from django.db import models
def music_model_filepath(instance, filename):
"""Returns a filename for music instance"""
if instance.__class__.__name__ == 'Artist':
path = 'artists/images'
elif instance.__class__.__name__ == 'Song':
path = 'songs'
elif ... |
import time
import subprocess
import statistics
from sensors import measdist
from sensors import sensorscleanup
def measdist_stat(): # collect multiple measurements and calculate statistics
x = [0] * 20 # specify the statistics length here
for i in range(0, len(x)): x[i] = measdist()
return (statistics.mea... |
# -*- coding: utf-8 -*-
"""
@date: 2020/12/30 下午6:48
@file: general_head_2d.py
@author: zj
@description:
"""
from abc import ABC
import torch
import torch.nn as nn
from .. import registry
class GeneralHead2D(nn.Module, ABC):
def __init__(self,
feature_dims=1024,
dropout_rate... |
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 22 13:57:56 2020
@author: Arif
"""
'''
This script performs quantitave evaluation of the camera poses obtained by
3D reconstruction softwares Agisoft of Photoscan and Meshroom of Alicevision
from the synthetic (Blender) stacked images for both moving and fixe... |
ADAPTER_API_KEY = "api_key"
ADAPTER_REQUESTS_PER_HOUR = "hourly_rate_limit"
ADAPTER_WAIT_SECONDS_WHEN_RATE_LIMITED = "rate_limit_wait_seconds"
ADAPTER_BATCH_SIZE = "batch_size"
# This is used for rendering urls at the game details page once imported
ADAPTER_DISPLAY_NAME = "display_name"
# Used for filters and the like... |
from prompt_toolkit.completion import Completion, Completer
class BQCompleter(Completer):
def __init__(self, schema=None):
self.words = {
"keyword": sorted(set([
"*", "all", "as", "asc", "by", "cross", "desc", "distinct", "except",
"full", "from", "group", "hav... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.ClientInfo import ClientInfo
from alipay.aop.api.domain.LocationInfo import LocationInfo
class AlipayOpenDataServiceQueryModel(object):
def __init__(self):
... |
# coding=utf-8
class BaseService(object):
pass
|
from keras.models import Sequential
from keras.layers import GRU
import numpy as np
model = Sequential()
ly = GRU(2, activation='tanh', recurrent_activation='relu',implementation = 1, stateful=False, batch_input_shape=(5, 3, 3))
model.add(ly)
model.compile(optimizer='sgd', loss='mse')
kernel = np.ones((3, 6))
rec_ker... |
##
## Wrappers for pickling
##
import os
import cPickle as pickle
def load_pickled_file(pickled_filename):
if os.access(pickled_filename, os.F_OK):
pickled_file = open(pickled_filename, 'r')
loaded_obj = pickle.load(pickled_file)
pickled_file.close()
return loaded_obj
return Non... |
import functools
from typing import Any, Callable, Iterable, List, Type, Union
from django.apps import AppConfig
from django.core import checks
from rest_registration.utils.functools import update_wrapper
WRAPPER_ASSIGNMENTS_WITHOUT_ANNOTATIONS = tuple(
a for a in functools.WRAPPER_ASSIGNMENTS if a != '__annotat... |
from django.urls import include, path
from django.contrib.auth import views as auth_views
from . import views
urlpatterns = [
path('student/', include(([
path('', views.StudentSuccess, name='success'),
], 'classroom'), namespace='students' )),
path('teacher/', include(([
path('', views.Te... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import argparse
def arguments():
# Handle command line arguments
parser = argparse.ArgumentParser(description='Adventofcode.')
parser.add_argument('-f', '--file', required=True)
args = parser.parse_args()
return args
class VM():
def __init__(self):... |
from typing import Optional, Union
import gym
import numpy as np
from jaxrl.datasets.dataset import Dataset
class ReplayBuffer(Dataset):
def __init__(self, observation_space: gym.spaces.Box,
action_space: Union[gym.spaces.Discrete,
gym.spaces.Box], capacity... |
with open("input.txt", "r") as f:
depart_time = int(f.readline())
buses = [i for i in f.readline().split(',')]
def part1(depart_time, buses):
valid_buses = [int(i) for i in buses if i != 'x']
times_ids = [(int(depart_time/i+1)*i - depart_time, i)
for i in valid_buses]
time, bus_id... |
#!/usr/bin/env python2.7
from __future__ import division
import os,sys,re,argparse,glob,commands
def get_analysis_option():
my_cmdparser = argparse.ArgumentParser(description='generate reads filter commands for lncRNA sequence,include: raw reads filter,rRNA filter\n\tauther:zq,46211250@qq.com')
my_cmdparser.... |
#!/bin/python3
from pyhprof.parsers import HProfParser
from pyhprof.references import ReferenceBuilder
import pyhprof
import argparse
import sys
# Use truffleHog to parse any references for common API keys
from truffleHogRegexes.regexChecks import regexes
import re
def main():
flags = {}
parser = argparse.Argument... |
def confusion_matrix_plot(y_true, y_pred) -> None:
"""
Plot a confusion matrix.
Args:
y_true: List of true labels
y_pred: List of prediction labels
Returns:
"""
from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix
cm = confusion_matrix(y_true, y_pred)
p... |
import logging
import uuid
from pathlib import Path
import blobconverter
import cv2
import depthai as dai
from imutils.video import FPS
log = logging.getLogger(__name__)
class DepthAI:
def create_pipeline(self, model_name):
log.info("Creating DepthAI pipeline...")
pipeline = dai.Pipeline()
... |
# -*- coding: utf-8 -*
from videoanalyst.utils import Registry
TRACK_TASKMODELS = Registry('TRACK_TASKMODELS')
VOS_TASKMODELS = Registry('VOS_TASKMODELS')
TASK_TASKMODELS = dict(
track=TRACK_TASKMODELS,
vos=VOS_TASKMODELS,
)
|
from mesh.standard import bind
from spire.mesh import MeshDependency, ModelController, support_returning
from spire.schema import *
from spire.support.logs import LogHelper
from flux.bindings import platoon
from flux.models import Message, Request
from flux.operations import *
from flux.resources.request import Reques... |
from seetaaip.toc import *
import cv2
if __name__ == '__main__':
# create instance by python script or
filepath = "data/__init__.py"
instance = Instance(Engine(filepath), Device("cpu"), "A")
"""
Use Engine to load zip files:
`Engine("data/aip.zip", replace=False)`, the file will extracted in "d... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
"""
Кривая Минковского
"""
# Оригинал: https://ru.wikipedia.org/wiki/Кривая_Минковского
# <?php
# $i = 2;
#
# $image = imagecreatetruecolor(600, 400);
# imagefilledrectangle($image, 0, 0, imagesx($image) - 1, imagesy($image) - 1,
#... |
import requests
import nb
import distributions
def load_data():
# Loading, formatting and partitioning the data set:
# This data set is described here: https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)
raw_data = requests.get("https://archive.ics.uci.edu/ml/machine-learning-database... |
from tests.prepare import BaseTestCase, datatype_redis, unittest
class StringTests(BaseTestCase):
def test_value(self):
a = "wagwaan"
self.assertEqual(datatype_redis.String(a), a)
def test_empty(self):
self.assertEqual(datatype_redis.String(), "")
def test_add(self):
a = ... |
from django.conf.urls import url
from . import views
from .models import Category
categories = "|".join([category.name for category in Category.objects.all()])
app_name = 'gifspool'
urlpatterns = [
url(r'^$', views.Pool.as_view(), name='gifspool'),
url(r'^login/$', views.Login.as_view(), name='login'),
u... |
import pandas as pd
import os
import psycopg2
from dotenv import load_dotenv
load_dotenv()
DB_NAME = os.getenv('DB_NAME')
DB_USER = os.getenv('DB_USER')
DB_PASS = os.getenv('DB_PASS')
DB_HOST = os.getenv('DB_HOST')
conn = psycopg2.connect(dbname=DB_NAME,
user=DB_USER,
... |
""" install.py:
Installs the FPP tool suite based on the version of this installer package. It will use FPP_DOWNLOAD_CACHE environment
variable to pull up previously downloaded items for users that wish to install offline.
"""
import atexit
import os
import platform
import shutil
import subprocess
import sys
import ta... |
from bs4 import BeautifulSoup
#Importing Selenium Packages
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait, Select
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By ... |
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