text stringlengths 8 6.05M |
|---|
import sys
import os
from PIL import Image
# Grab first and second argument
poke_path = sys.argv[1]
new_path = sys.argv[2]
# Check is new/ exists, if not create
if not os.path.exists(new_path):
os.mkdir(new_path)
# Loop through Pokedex, convert images to PNG
for filename in os.listdir(poke_path):
img = Image... |
registry = dict(version=0)
def bind():
from cPickle import loads as _loads
_lookup_attr = _loads('cchameleon.core.codegen\nlookup_attr\np1\n.')
_init_scope = _loads('cchameleon.core.utils\necontext\np1\n.')
_re_amp = _loads("cre\n_compile\np1\n(S'&(?!([A-Za-z]+|#[0-9]+);)'\np2\nI0\ntRp3\n.")
_attrs_... |
# Generated by Django 2.1.12 on 2019-11-05 04:32
import django.contrib.postgres.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('course_rater_app', '0002_auto_20191105_0427'),
]
operations = [
migrations.AlterField(
mo... |
from Exceptions import BFSyntaxError, BFSemanticError
from Token import Token
from functools import reduce
"""
This file holds functions that generate general Brainfuck code
And general functions that are not dependent on other objects
"""
# =================
# Brainfuck code
# =================
def get_set_cell_... |
_plants = {
'C': 'Clover',
'G': 'Grass',
'R': 'Radishes',
'V': 'Violets'
}
_children = [
'Alice', 'Bob', 'Charlie', 'David',
'Eve', 'Fred', 'Ginny', 'Harriet',
'Ileana', 'Joseph', 'Kincaid', 'Larry'
]
class Garden():
def __init__(self, garden, students=_children):
self... |
#!/usr/bin/env python
# Funtion:
# Filename:
# 假设密码为 123
# 则shell下自动输入密码的语句为：
# echo "123" | sudo -S apt-get upgrade
# echo "123" | sudo -S apt-get install vim
# 可以查看标准文档 sudo --help
import subprocess
subprocess.Popen("echo '123' | sudo -S apt-get upgrade", shell=True) |
from flask import request
from gateway.app import app
from gateway.http_client import filemanager_http_client
from gateway.utils.handle_api import (
get_client_username,handle_request_response
)
@app.route('/file/create',methods=['POST'])
@handle_request_response
@get_client_username
def file_create(client_usern... |
import time
import os
import torch
import math
import logging
from conf.train.train_conf_expandnet import get_config
from utils import utils
from models import create_model
from data import create_dataset, create_dataloader
def main():
conf = get_config()
utils.mkdir_experiments(conf.experiments_dir)
uti... |
from rest_framework import generics, status, permissions
from rest_framework.response import Response
from rest_framework.views import APIView
from django.shortcuts import get_object_or_404
from .models import Profile
from authors.apps.authentication.models import User
from authors.apps.articles.models import Article
f... |
"""
Definition of forms.
"""
from django import forms
from app.models import WellInstance, WellInfo, GeoInfo, RiskProfile
class WellForm(forms.ModelForm):
class Meta:
model = WellInstance
fields = ['Country', 'State', 'City', 'Well']
class WellInfoForm(forms.ModelForm):
class Meta:
... |
#!/usr/bin/python2.7
# Standard library imports.
from contextlib import closing
from sqlite3 import connect
# The path of the database.
db_path = r"/mnt/c/Users/Amanda/Desktop/spring-2018/is211/pets.db"
# The query used to query people.
select_person = """
SELECT first_name, last_name, age
FROM per... |
import pytest
from autumn.settings import Models
from autumn.core.project.project import _PROJECTS, get_project
COVID_PROJECTS = list(_PROJECTS[Models.COVID_19].keys())
COVID_CALIBS = list(zip(COVID_PROJECTS, [Models.COVID_19] * len(COVID_PROJECTS)))
TB_PROJECTS = list(_PROJECTS[Models.TB].keys())
TB_CALIBS = list(zi... |
import os
from glob import glob
import random
import numpy as np
from PIL import Image
def Ramen_Dataset():
root_dir = os.path.dirname(os.path.realpath(__file__))
train_path = os.path.join(root_dir, 'dataset', 'train', '*\\*.png')
test_path = os.path.join(root_dir, 'dataset', 'val', '*\\*.png')
train_... |
from bocadillo import App,view
app = App()
@app.route("/")
async def index(req, res):
res.text = ""
@app.route("/user")
@view(methods=["post"])
async def greet(req, res):
res.text = ""
@app.route("/user/{id}")
async def user_info(req, res, id):
res.text = id
|
import pytest
import pytest_check as ck
@pytest.mark.p0
@pytest.mark.api
def test_query_fuel_card_normal(api,data):
'''正常查询加油卡'''
request_data = data.get('test_query_fuel_card_normal')
res_dict = api.request_all(request_data).json()
print(f'响应数据{res_dict}')
# 响应断言
ck.equal(200, res_dict.get("co... |
from django.core.management.base import BaseCommand, CommandError
from django.utils import timezone
from youtube.services import YoutubeService
from youtube.models import Video
from core.utils import db_table_exists
class Command(BaseCommand):
help = 'Get MostViewed Videos from Youtube and adds them to database'
... |
# pylint: disable=duplicate-code, too-many-statements
''' Unit test for user model integration '''
import unittest
import logging
from test.common import async_test, UserModelTestCase
from PIL import Image
from utils import image_to_file
# Initialize loggers
logging.basicConfig(level=logging.WARNING)
class TestTrai... |
# 727. Minimum Window Subsequence
'''
Given strings S and T, find the minimum (contiguous) substring W of S, so that T is a subsequence of W.
If there is no such window in S that covers all characters in T, return the empty string "". If there are multiple such minimum-length windows, return the one with the left-mos... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
#------------------------------------------------------------------------------
# Input Shaping Module - InputShaping.py
#
# Python module for the input shaping toolbox
# - Adapted from MATLAB input shaping toolbox
#
# Created: 2/18/13 - Joshua Vaughan - joshua.vaug... |
import numpy as np
def loadDataSet(fileName):
dataMat = []
labelMat = []
fr = open(fileName)
for line in fr.readlines():
lineArr = line.strip().split('\t')
dataMat.append([float(lineArr[0]), float(lineArr[1])])
labelMat.append(float(lineArr[2]))
return dataMat, labelMat
de... |
import sys
input = sys.stdin.readline
def main():
N, P = map(int,input().split())
AB = [ tuple(map(int,input().split())) for _ in range(N)]
AB.sort(reverse=True)
dp = [0]*(P+1)
ans = 0
for a, b in AB:
if ans < dp[P]+b:
ans = dp[P]+b
for i in range(P,a-1,-1):
... |
#Receba um número. Calcule e mostre a série 1 + 1/2 + 1/3 + ... + 1/N.
n=int(input('digite um numero: '))
c=int(1)
s=int(0)
while c<=n:
print(f'1/{c}+')
s+=1/c
c+=1
print(f'={s}') |
# -*- coding:utf-8 -*-
import json
from Appointment.APmodel import APmodelHandler
from BaseHandlerh import BaseHandler
# 约拍伴侣
from Database.tables import WApCompanions, WAcAuth
from FileHandler.ImageHandler import ImageHandler
class ApCompanionHandler(BaseHandler):
retjson = {'code':'', 'contents':''}
def... |
def soma(n1, n2):
resp = n1 + n2
return resp
retorno_soma = soma(0, 1024)
print(retorno_soma)
|
import requests
import datetime
import random
from django.db import models
from django.db.models import Sum
from django.contrib.auth.models import User
from django.template.loader import render_to_string
from django.template.defaultfilters import linebreaks
from django.urls import reverse
from django.utils import time... |
import json
import numpy as np
import cv2
import matplotlib.pyplot as plt
from PIL import Image
import bit_stream_decoder
import byte_stream_generator
import channel_restorer
import histogram_generator
import huffman_code_decode_generator
import image_compressor
file_name = 'images/img.png'
original_ima... |
import json
import logging
import os
import time
import urllib
import boto3
import numpy as np
import pandas as pd
import regex as re
from util.aws.s3 import s3_exists
def _parse_transcription(handle, speaker_labels={}):
if isinstance(handle, str):
from util.aws.s3 import s3_download
handle = op... |
#!/usr/bin/python
"""finding the area of a general space using only the boundry points
this will only work for solid space as of now"""
print "points:"
raw_points = raw_input().split(' ')
points = []
if (len(raw_points) % 2 == 1):
raise Exception('not a list of points')
else:
for i in xrange(0,len(raw_points),2):
... |
from measurements.api.viewsets import TemperatureViewSet, HumidityViewSet, ElectricityViewSet, WaterViewSet, PollutionViewSet, ConfigViewSet
from rest_framework import routers
router = routers.DefaultRouter()
router.register('temperature', TemperatureViewSet, base_name='temperature')
router.register('humidity', Humidi... |
# print(f" Episode {episode_trajectory}")
# print(f" State Value {new_state[0]} ") |
import copy
class Polynomial:
def __init__(self, dictpoly={}):
"""initializing dictionary of polynomial"""
self.dictpoly = dictpoly
def printpoly(self, expo):
"""print coefficient of each needed exponent"""
if self.dictpoly.has_key(expo) == 1:
polyprint = self.dictpoly[expo]
else:
polyprint ... |
def show_magicians(magicians_name):
for name in magicians_name:
print(name)
magicians_name = ['aaa', 'bbb', 'ccc']
show_magicians(magicians_name)
|
import glob
import os
for file in glob.glob("*.c"):
if os.access(file, os.R_OK):
print(file)
|
from nanpy import (ArduinoApi, SerialManager, Servo)
from time import sleep
try:
connection = SerialManager()
a = ArduinoApi(connection = connection)
except:
print("Failed to connect to Arduino")
servoPins = list()
for i in range(6):
number = "";
try:
number = int(input("Enter ServoPWM pi... |
import json
import datetime
from yoolotto.legacy.models import Drawings as LegacyDrawings, Drawings2 as LegacyDrawings2
from yoolotto.lottery.game.manager import GameManager
from yoolotto.lottery.models import LotteryGameComponent, LotteryDraw
from yoolotto.util.serialize import dumps
class MigrateDraws(object):
... |
try:
from .pglocal import *
except:
try:
from .sqlite import *
except:
pass
try:
from .production import *
except:
pass |
#encoding=utf-8
import pymongo,os
def connect_mongodb():
# servers="mongodb://localhost:27017"
# conn = pymongo.Connection(servers)
# print conn.database_names()
# db = conn.my_mongodb #连接库
client = pymongo.MongoClient("localhost", 27017)
print client.database_names()
db=client.test
print db.collect... |
from flask import Flask,render_template,request,redirect,url_for
import pymysql
app=Flask(__name__)
@app.route("/update_action/<int:movie_id>", methods=['GET','POST'])
def update_action(movie_id):
if request.method=="POST":
sql="update new_movies.my_movies set movie_name=(%s), timing=(%s), location=(%s) ... |
import argparse
import pathlib
from common import copytree, get_package_root
def main(directory, source_folder, target_root):
"""
Copies the source folder and its subfolders to the package, under the
desired target_root. This will not verify the target_root is proper.
"""
source_folder = pathlib.P... |
n = input ()
l = len (n)
s = 0
for i in range (l): s += int (n [i])
s1 = 3 - s % 3
for i in range (l):
p = int (n [i]) + s1
if p < 10:
p += (9 - p) // 3 * 3
n = n [:i] + str (p) + n [i + 1:]
print (n)
break
elif i == l - 1:
p = int (p - 1.5 * s1 ** 2 + 4.5 * s1 - 6)
... |
# spiral.py
# COMP9444, CSE, UNSW
import torch
import torch.nn as nn
import matplotlib.pyplot as plt
import math
class PolarNet(torch.nn.Module):
def __init__(self, num_hid):
super(PolarNet, self).__init__()
# INSERT CODE HERE
input_nodes = 2
output_nodes = 1
self.layer_on... |
#### -*- coding:utf-8 -*- #######
import socket
from protocol import PackagedConnection, ClientDisconnected, BrokenPackage
from server import PING, PONG, CLOSE
from threading import Thread
def main():
test_data = [
b"SOME DATA",
b"B"*5000,
b"",
b"1234567890",
b"LOL"
]
... |
import socketio
sio = socketio.Client()
def sendMessage(event_name, data, namespaceSIO):
#callback function
sio.emit(event_name, data, namespace=namespaceSIO)
print("message emitted")
@sio.on('responsepi', namespace='/socket')
def responsepi(msg):
print('I received a message!', msg['data'])
def ... |
#!/usr/bin/env python
import math
import pickle
from random import randint
from itertools import permutations
from sets import Set
MAX_SEARCH_LEN=2
C1=1.95
C2=1.95
class node():
def __init__(self,parent,val):
self.val=val
self.parent=parent
self.nextDict=None
self.completed=False
... |
import os
import re
class IncludeParser:
def __init__(self, strict=True):
self.__strict = strict
def get_includes(self, filename, include_dirs, args):
filedir = os.path.dirname(os.path.abspath(filename))
def list_includes(filename): ... |
if __name__ == "__main__":
usernames = [
'beheerder',
'kjevo',
'user345',
'user89',
'user092'
]
for username in usernames:
print("Hello! " + username)
if username == "beheerder":
print("Do you want a status rapport? \n") |
""" For use in dumping single frame ground truths of EuRoc Dataset
Adapted from https://github.com/ClementPinard/SfmLearner-Pytorch/blob/0caec9ed0f83cb65ba20678a805e501439d2bc25/data/kitti_raw_loader.py
You-Yi Jau, yjau@eng.ucsd.edu, 2019
Rui Zhu, rzhu@eng.ucsd.edu, 2019
"""
from __future__ import division
import num... |
import multiprocessing
from matplotlib import pyplot as plt
import numpy as np
def merge_by_y(left, right):
"""
Implements merge of 2 sorted lists by the second coordinate
:param args: support explicit left/right args, as well as a two-item
tuple which works more cleanly with multiprocessi... |
import colorgram
colors = colorgram.extract('image.jpg',6)
color_list = []
for color in (colors):
r = color.rgb.r
g = color.rgb.g
b = color.rgb.b
new_color = (r,g,b)
color_list.append(new_color)
print(color_list) |
"""
Given two arrays, write a function to compute their intersection.
Example 1:
Input: nums1 = [1,2,2,1], nums2 = [2,2]
Output: [2,2]
Example 2:
Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
Output: [4,9]
Note:
Each element in the result should appear as many times as it shows in both arrays.
The result can be in an... |
import math
a = int(input('Enter A value:'))
b = int(input('Enter B value:'))
c = int(input('Enter C value:'))
if (a**2+b**2)==c**2:
print('Given Triangle is rectangle')
else:
print('Given Triangle is not rectangle')
|
import serial
import time
x = (input('Enter size:'+'\n'+'a.Small'+'\t\t'+'b.Big'+'\t\t')).lower()
y = (input('Enter color:'+'\n'+'a.green'+'\t\t'+'b.Red'+'\t\t')).lower()
ser = serial.Serial('COM5', 9600, timeout=1)
time.sleep(3)
if(x == "small" and y == "blue"):
ser.write(b'A')
time.sleep(1)
elif(... |
from django.db.models.signals import post_save, pre_save, pre_delete
from django.dispatch import receiver
from django.db.models import F
from sale.models import Stock, Transfer
@receiver(post_save, sender=Transfer)
def TransferInToStockSignal(sender, instance, created, **kwargs):
if not created:
pass
detail = {
... |
# coding: utf-8
import tensorflow as tf
HIDDEN_SIZE = 1024 # LSTM的隐藏层规模。
NUM_LAYERS = 2 # 深层循环神经网络中LSTM结构的层数。
SRC_VOCAB_SIZE = 10000 # 源语言词汇表大小。
TRG_VOCAB_SIZE = 4000 # 目标语言词汇表大小。
BATCH_SIZE = 100 # 训练数据batch的大小。
NUM_EPOCH = 5 # 使用训练数据的轮数。
KEEP_PROB = 0.8 # 节点不被dropout的概率。
MAX_GRAD_NORM = 5 # 用于控制梯度膨胀的梯度大小上限。... |
from selenium.webdriver import Chrome
from selenium.webdriver.chrome.options import Options
import sys
from time import sleep
def get_safety(place):
options = Options()
options.headless = True
place = place.lower()
place = place.replace(' ', '-')
# insert your chromedriver path
driver = Chrom... |
import numpy as np
import pandas as pd
import log
import matplotlib.pyplot as pl
import matplotlib.dates as mdates
import datetime
DATAFRAME = pd.DataFrame.from_dict(log.DATA, orient='index')
#print(DATAFRAME)
#print(DATAFRAME["push_ups"])
def str_to_datenums( str_dates ):
datenums = []
for date_str in str_d... |
import pydot
from Cp7_test.cmp.utils import ContainerSet
class NFA:
def __init__(self, states: int, finals: iter, transitions: dict, start=0):
self.states = states
self.start = start
self.finals = set(finals)
self.map = transitions
self.vocabulary = set()
... |
'''
Created on Oct 13, 2015
@author: Jonathan Yu
'''
def getFortunate(a, b, c):
sums = []
for i in a:
for j in b:
for k in c:
sums.append(i + j + k)
num = 0
for sum in set(sums):
isFortunate = True
for digit in str(sum):
if not ((digit ==... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
'cliff',
'datakit-core',
'requests'
]
test_requi... |
import os
import re
################## CHANGE HERE ONLY ##################
# The name of module you want
name_module = "adc_list"
# Brief description of module
description_module = "Analog-to-Digital Converter (ADC)"
# name_driver = "stm_driver.h"
# The path of repository
ksdk_path = "e:/C55SDK/sdk_codebase/"
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from typing import Any, Callable, Iterator, Tuple, Type
import pytest
from flask import Flask
from marshmallow import Schema
from smorest_sfs.modules.email_templates.models import EmailTemplate
@pytest.fixture
def email_template_items(
flask_app: Flask, temp_db_inst... |
# -*- coding:utf-8 -*-
"""
请设计一个函数，用来判断在一个矩阵中是否存在一条包含某字符串所有
字符的路径。路径可以从矩阵中的任意一个格子开始，每一步可以在矩阵
中向左，向右，向上，向下移动一个格子。如果一条路径经过了矩阵中的
某一个格子，则之后不能再次进入这个格子。 例如 a b c e s f c s
a d e e 这样的3 X 4 矩阵中包含一条字符串"bcced"的路径，但是矩
阵中不包含"abcb"路径，因为字符串的第一个字符b占据了矩阵中的第一
行第二个格子之后，路径不能再次进入该格子。
"""
class Solution:
def __init__(self):
... |
# Generated by Django 2.0.7 on 2019-01-14 17:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('basedata', '0059_auto_20190114_1712'),
]
operations = [
migrations.AlterField(
model_name='device',
name='Inquiry_pr... |
# class A(object):
# def foo(self, x):
# print("executing foo(%s,%s)" % (self, x))
#
# @classmethod
# def class_foo(cls, x):
# print("executing class_foo(%s,%s)" % (cls, x))
#
# @staticmethod
# def static_foo(x):
# print("executing static_foo(%s)" % x)
#
#
# a = A()
# a.foo(2... |
from math import ceil
from function import *
from equally_spaced_integration import newton_cotes, A, B, EXACT_VALUE, FIFTEEN_POINTS, FIFTEEN_POINTS_COEF
from gauss_integration import composite_gauss, SEVEN_NODES, SEVEN_WEIGHTS
COTES_15_P = 16
GAUSS_7_P = 14
def runge_rule_newton_cotes(p, accuracy):
N1 = 1
N... |
import cv2
import numpy as np
import time
#Select any model you want to use for inferencing
#net = cv2.dnn.readNet('YoloV4-Tiny/yoloV4_best.weights', 'YoloV4-Tiny/y4_tiny_cfg.cfg')
#net = cv2.dnn.readNet('YoloV4_Iterations_1000/yolov4-obj_last.weights', 'YoloV4_Iterations_1000/yolov4-obj.cfg')
net = cv2.dnn.rea... |
#!/usr/bin/env python3
import pyaudio
import struct
from math import pi, sin
import sys
SAMPLE_RATE = int(48 * 1000) # hertz
WAVE_DURATION = 0.25 # seconds
class Tone:
"""Represents a sine wave for a given frequency.
freq - frequency (in hertz)
duration - duration of the wave (in seconds)
sample_rate - sampling ... |
class Solution(object):
def swapPairs(self, head):
dummy = ListNode(0)
dummy.next, ptr = head, dummy
while ptr.next and ptr.next.next:
tmp = ptr.next.next
ptr.next.next = tmp.next
tmp.next = ptr.next
ptr.next = tmp
ptr = ptr.next.ne... |
from ._base import IndexStrategy
__all__ = ('IndexStrategy',)
|
import h5py
from scipy import sparse
import query_chembl
hf = h5py.File("data/cdk2.h5", "r")
ids = list(hf["chembl_id"].value) # the name of each molecules
smiles = query_chembl.get_smiles(ids[:1])
print(smiles) |
"""
The following are helper functions to handle the volumes of a Notebook.
The new API Volume will work with objects of the following format:
volume:
mount: "mount path"
newPvc?:
metadata: ...
spec: ...
existingSource?:
nfs?: ...
persistentVolumeClaim?: ...
...
These functions will parse su... |
__version__ = '4.24.10' |
import csv
import pickle
from keras import Sequential
from sklearn import metrics
import numpy as np
from keras.models import Sequential
from keras.layers import BatchNormalization
from keras.layers import Dropout
from keras.layers import Dense, Activation, Flatten
from sklearn.model_selection import train_t... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 11 19:20:15 2019
@author: ghosty
"""
import os
from datetime import datetime
import pytz
import h5py
import csv
import scipy.signal
import numpy as np
import matplotlib.pyplot as plt
#read filename
stamp = '1541962108935000000_167_838.h5'
filename ... |
import json
with open('pref.json') as f:
data = json.load(f)
streamUrl = data["informations"]["STREAMURL"]
streamerName = data["informations"]["STREAMERNAME"] |
import os
import cv2
import json
import argparse
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
def init_coco_dict():
return {
'info': {
'description': 'Kyoto pedestrian dataset',
'url': 'https://www.vision.rwth-aachen.de/page/mots',
'version':... |
# Load CSV using Pandas
import pandas as pd
filename = 'pima-indians-diabetes.data.csv'
data = pd.read_csv(filename)
skew = data.skew()
print(skew)
|
class BQueue:
def __init__(self):
self.q = []
self.rear = 0
self.front = 0
def enqueue(self, i):
self.q.append(i)
self.rear = self.rear + 1
def dequeue(self):
if self.rear == self.front:
print("Queue is empty")
else:
self.front = self.front + 1
return self.q[self.front - 1]
def printq(self... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from conans.model import Generator
from conans.client.generators import VisualStudioGenerator
from xml.dom import minidom
from conans.util.files import load
class VisualStudioMultiGenerator(Generator):
template = """<?xml version="1.0" encoding="utf-8"?>
<P... |
import cv2
import numpy
import sqlite3
import os
#Insert hoac Update vao Sqlite
def insertOrUpdate(id, name, age, gender):
conn = sqlite3.connect('/Users/vubao/OneDrive/Máy tính/SQLiteStudio/Data.db')
query = "Select * from people Where ID = "+str(id)
cusror = conn.execute(query)
is... |
import socket
from contextlib import closing
from http.server import BaseHTTPRequestHandler
from urllib import parse
import json
# Ugggg
# For use when a service provider doesn't account for ephemeral port numbers
# in redirect uris and so you have to explicitly register uris with ports.
_rando_reg_ports = [51283, 5... |
# Generated by Django 3.0.2 on 2020-03-13 17:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('obsapp', '0008_product_product_date'),
]
operations = [
migrations.CreateModel(
name='LayoutPrice',
fields=[
... |
DEBUG = True
TEMPLATE_DEBUG = DEBUG
VK_APP_ID = '2427007'
VK_APP_KEY = ''
VK_APP_SECRET = 'ohRM9foTz8GBZQQ7cFwV'
GMAPS_API = 'ABQIAAAA92S7ccOh-SP6wUGsrpdL-BQizReYv0RYXMumyHYbF-1ckP5PhxTKio0m1x22jCulrae0aBIzIDpX3w'
PUBLIC_URLS = [
'^admin/',
'^callback/',
]
ADMINS = (
('Nergal', 'nergal.dev@gmail.com'),
... |
import os
import urllib.request
VERSIONS = [
'4.2.0',
'4.1.2',
'4.1.1',
'4.1.0',
'3.4.9',
'3.4.8',
'3.4.7',
'3.4.6',
]
def downlown_opencvjs_file (version, filename):
url = "https://docs.opencv.org/%s/opencv.js" % version
with urllib.request.urlopen(url) as response, open(filename, 'wb') as out_file:
dat... |
# -----------------------------------------------------------------------------
# Copyright (c) 2014--, The Qiita Development Team.
#
# Distributed under the terms of the BSD 3-clause License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... |
import cv2
import base64
img = cv2.imread("D:/21.jpg")
retval, buffer = cv2.imencode('.jpg', img)
jpg_as_text = base64.b64encode(buffer)
print('len before : ',len(jpg_as_text))
print('Original Dimensions : ',img.shape)
scale_percent = 40 # percent of original size
width = int(img.shape[1] * scale_percent / 100)
h... |
import numpy as np
def newton_step(y, f, fy, fyy, ltol=1e-3):
'''
Compute the Newton step for a function fun on the Grassmann
manifold `Gr(n,p)`.
Parameters
----------
y : (n, p) ndarray
Starting point on `Gr(n,p)`.
f : double
Value of `fun` at `y`.
fy : (n, p) ndarray... |
#!/usr/bin/env python
''' WxPython App '''
import wx
class MenuBar(wx.MenuBar):
def __init__(self):
menuBar = wx.MenuBar()
# Append Menu for File Menu
fileMenu = wx.Menu()
fileMenu.Append(wx.NewId(), "&Open", "")
fileMenu.Append(wx.NewId(), "&Save", "")
... |
# 674. Longest Continuous Increasing Subsequence
#
# Input: [1,3,5,4,7]
# Output: 3
# Explanation: The longest continuous increasing subsequence is [1,3,5], its length is 3.
# Even though [1,3,5,7] is also an increasing subsequence,
# it's not a continuous one where 5 and 7 are separated by 4.
# Example 2:
# Input: ... |
from django.db import models
from django.urls import reverse
# Create your models here.
class Year(models.Model):
year_id = models.AutoField(primary_key=True)
year = models.IntegerField(unique=True)
def __str__(self):
return '%s' % self.year
class Meta:
ordering = ['year']
class Per... |
#-- GAUDI jobOptions generated on Fri Jul 17 16:32:45 2015
#-- Contains event types :
#-- 11104020 - 116 files - 2010993 events - 432.26 GBytes
#-- Extra information about the data processing phases:
#-- Processing Pass Step-124834
#-- StepId : 124834
#-- StepName : Reco14a for MC
#-- ApplicationName : ... |
print('''
OPERADORES DE COMPARACION
Devuelve valores booleanos.
-Igual que ==
-Distinto que !=
-menor que <
-menor igual que <=
-Mayor que >
-Mayor igual que >=
-Asignación =
Ejemplo:
15 > 3 -> True
5 < 1 -> False
3 == 3 -> True
4 == 2+2 -> True
PRESCENDENCIA DE OPERADORES
Siempre se va a ejecutar lo operador... |
from gym.envs.registration import register
register(
id="overcookedEnv-v0",
entry_point="overcooked.envs:OvercookedEnvironment",
)
|
from django.urls import path
from . import views
urlpatterns = [
path('movie/<int:movieId>', views.get_movie, name='get_movie'),
path('login',views.login, name='login'),
path('recommendations',views.recommendations,name='recommendations'),
# path('popularity_movies',views.get_popularity_movies,name='po... |
# from flask import request
#
# from usermanager.app import app
# from usermanager.dao.user import UserMongoDBDao
# from usermanager.mongodb import user_collection
# from usermanager.utils.handle_api import handle_response
#
#
# META_SUCCESS = {'status': 200, 'msg': '成功！'}
# META_ERROR = {'status': 404, 'msg': '失败！该用户不... |
import random
def deal(deck):
card = random.choice(deck)
deck.remove(card)
return card
def playBlackjack():
players = [AI('Stardust'), Manual('Manual')]
deck_count = 1
scores = [0 for _ in players]
deck = ['A','K','Q','J',10,9,8,7,6,5,4,3,2] * 4 * deck_count
faceUp = deal(deck)
dealt = [faceUp]
for id, pl... |
#标注训练集的anchor
"""
在训练集中，将每个anchor作为一个训练样本，为了训练目标检测模型，需要为每个anchor标注两类标签：
1.anchor所含目标的类别，简称类别
2.真实边界框ground truth相对anchor的偏移量，偏移量offset,
在目标检测时，
1.首先生成多个anchor,
2.然后为每个anchor预测类别以及偏移量，
3.接着根据预测的偏移量调整anchor位置从而得到预测边界框，
4.最终筛选需要输出的预测边界框
在目标检测的训练集中，每个图像已经标注了真实边界框ground truth的位置以及所含目标的类别；
在生成anchor之后，主要依据与anchor相似的真实边界框gr... |
import tensorflow as tf
from ._tf_oplib import _op_lib
from kungfu.python import current_rank
class Queue:
def __init__(self, src, dst, id):
self._src = int(src)
self._dst = int(dst)
self._id = int(id)
def get(self, dtype, shape):
return _op_lib.kungfu_queue_get(
... |
import math
import pytest
import ipywidgets
from pandas_visual_analysis import DataSource
from pandas_visual_analysis.utils.config import Config
from pandas_visual_analysis.widgets import BrushSummaryWidget
from tests import sample_dataframes
@pytest.fixture(scope="module")
def small_df():
return sample_datafra... |
#nonlocal
x = 6#global
def f():
x = 5#nonlocal = not global and local
def g():
nonlocal x
x = 8
g()
print('x = ', x)
# x = 8 #local
f()
|
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