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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5cfab9db402b8e67c21d32c6243a3daf5fc7270b | 2f1dd60a4b9a4dbe13a8429baa402e49379a9c2f | /math_model/test/test.py | d6687dc173f9ef8c8c555fdd9ddb525d477d7abb | [] | no_license | lyz21/MachineLearning | b3de2e218050b7ec7d571367f9f455c6fdb4f4e9 | 3624b5bf4edf52125f91666ddf25fbf957c723ed | refs/heads/master | 2022-11-11T12:07:06.336485 | 2020-07-01T15:39:34 | 2020-07-01T15:39:34 | 276,404,490 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | # encoding=utf-8
"""
@Time : 2020/6/21 20:07
@Author : LiuYanZhe
@File : test.py
@Software: PyCharm
@Description: 一些基本不会复用的方法
""" | [
"liuyenzhe@163.com"
] | liuyenzhe@163.com |
93343708920188248d56b7182815d65a56fbde02 | e77eef0040bf8158ff7734bb49336b32e99fb866 | /PythonTrainee/Packages/getrequests.py | 9061f6eb597276e36ad6f10e5906dcfbf86a075f | [] | no_license | xistadi/homework | c7bf34b873370c9bede8eb9752b3afcd4cc9a1b5 | 0a6ebf7c2b05d3f750f165f48dadadb14befcfef | refs/heads/main | 2023-03-28T19:16:47.181381 | 2021-04-03T15:28:49 | 2021-04-03T15:28:49 | 294,196,272 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,106 | py | import requests
from requests.exceptions import HTTPError
class GetRequests:
"""Class for working with the requests library"""
def __init__(self, url):
self.url = url
def get_response(self):
"""Get requests by url"""
try:
headers = {'User-Agent': 'Mozilla/5.0'} # use mozilla as a user agent
response_from_requests = requests.get(self.url, headers=headers) # get requests by url
response_from_requests.raise_for_status()
except HTTPError as http_err:
print(f'HTTP error occurred: {http_err}')
except Exception as err:
print(f'Other error occurred: {err}')
else:
print('Success!')
return response_from_requests
def get_main_text(self, response_from_requests):
"""Get html pages by url"""
main_text = response_from_requests.text # decode response
return main_text
if __name__ == "__main__":
response = GetRequests('http://google.com').get_response()
print(GetRequests('http://google.com').get_main_text(response))
| [
"xistadi@gmail.com"
] | xistadi@gmail.com |
7f453ee788ea3c55a8a31bf385c548409caa9c8b | e5c3772f5d70eb4eaba69261c0a6af9e522aad3c | /proj_euler/problems/p138.py | dcccfdca0e78b29913d4c56b43a3f29c5b2dd4a1 | [] | no_license | ztalloC/ProjectEuler | 60b1600150a2f7256b8eade83175bbbd0d98bf12 | 39d37ddd257c52f536bb6cfe3703eda4cd365f92 | refs/heads/main | 2021-05-31T00:03:29.025752 | 2016-04-01T03:43:39 | 2016-04-01T03:43:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,206 | py | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 22 21:24:24 2016
@author: mjcosta
"""
from itertools import islice
from proj_euler.utils.timing import timefunc
# Returns an infinite generator of solutions for the equation y^2 = 5L^2 - 1
# where solutions are returned in the format (L, y).
def diophantine_solutions():
# Initial solution, 5*1^2 -1 = 2^2.
x, y = (1, 2)
yield (x, y)
while True:
# We can generate infinite solutions with a recurrence relation.
# Coefficients generated from: https://www.alpertron.com.ar/QUAD.HTM
x, y = (9*x + 4*y, 20*x + 9*y)
yield (x, y)
# Returns an infinite generator of special isoceles triangles in the form
# (b, h, L).
def generate_special_isoceles():
diop_sols = diophantine_solutions()
# Skip the solution (0, 1, 1)
next(diop_sols)
for L, y in diop_sols:
# Based on how solutions are generated, y can only be 2 or 3 mod 5,
# which determines whether it is h = b + 1 or h = b - 1.
sign = 1 if y % 5 == 2 else -1
b = (sign * -4 + 2 * y)/5
yield (b, b + sign, L)
# Computes the sum of the first num smallest special isoceles triangles.
@timefunc
def solve_p138(num):
return sum(x[2] for x in islice(generate_special_isoceles(), num))
"""
Thoughts: This problem took a while for me to solve since it was mostly math
based (the code was very short). The problem was finding special isoceles
triangles where the height was within +/- 1 of the base. From this requirement,
one can use the Pythagorean formula to have L^2 = b^2 + h^2 and then substitute
h = b +/- 1 into the formula and solve. Solving the equation results in
b = (-/+ 4 +/- sqrt(5L^2-1)), but since sqrt(5L^2-1) >= 4 (if L > 0), we can
just consider b = (-/+ 4 + sqrt(5L^2-1)).
Now we need to find values of 5L^2-1 that are equal to a perfect square. If
you let y^2 = 5L^2 - 1, then y^2 - 5L^2 = -1, which is the negative Pell's
equation. I did not feel like writing a solver, so after much searching online,
I found "https://www.alpertron.com.ar/QUAD.HTM", which is a tool for solving
quadratic Diophantine solutions (Pell's is a specific case) of the form
ax^2 + bxy + cy^2 + dx + ey + f = 0 (where you plug in the constants a-f).
The tool gave me some simple recurrences that I could use to generate infinite
solutions from an initial solution (also given).
I then just had to plug in the solutions to y^2 = 5L^2 - 1, and use some simple
math to generate b and h. It was then just a matter of summing up the lengths
of the triangles. The code is very short and efficient, taking only a few
microseconds to run (my timing method is probably not accurate enough). After
solving the problem, I looked at how other people solved it and it seems that
the side length of the triangles are half of every 6th Fibonacci number
starting from 9 (i.e. 9, 15, 21, ...). This is quite interesting, though it
is not something I would have thought of unless I was very familiar with
Fibonacci numbers.
"""
if __name__ == "__main__":
# 307 + 15 = 322
print "Example (2 lowest) (expect 322):"
print solve_p138(2)
print "Problem (12 lowest):"
print solve_p138(12)
| [
"cosmic@seas.upenn.edu"
] | cosmic@seas.upenn.edu |
ffb4543aa41b64b881c293934398b1479120481a | 202d2685dabf67ac7a26d32b99cdf3e289691faa | /simpson_faster_rcnn/simpson.py | 0f062ca8a49d434f55074c3f9f02dc3750088dc6 | [] | no_license | cenkbircanoglu/simpson-recognition | 0d2bbdb2283f89136e6fe676765845b5a82e460b | fe48dddb7c2df065e2c2a943c4008e20af093b90 | refs/heads/master | 2022-12-01T07:02:15.737824 | 2022-01-02T12:53:57 | 2022-01-02T12:53:57 | 187,513,224 | 1 | 0 | null | 2022-11-21T21:23:32 | 2019-05-19T18:26:36 | Jupyter Notebook | UTF-8 | Python | false | false | 2,705 | py | import csv
import os
import os.path
import torch.utils.data as data
from PIL import Image
def find_classes(dir):
fname = os.path.join(dir, 'annotation.txt')
# read the content of the file
with open(fname) as f:
content = f.readlines()
# remove whitespace characters like `\n` at the end of each line
content = [x.strip() for x in content]
# find the list of classes
classes = dict()
for x in content:
classes[x.split(",")[-1]] = 0
# assign a label for each class
index = 0
for key in sorted(classes):
classes[key] = index
index += 1
return classes
def make_dataset(dir, classes, set):
images = []
fname = os.path.join(dir, '%s_annotation.txt' % set)
# read the content of the file
with open(fname) as f:
content = f.readlines()
# remove whitespace characters like `\n` at the end of each line
content = [x.strip() for x in content]
for x in content:
path = x.split(",")[0]
label = classes[x.split(",")[-1]]
item = (path, label)
images.append(item)
return images
def write_csv_file(dir, images, set):
csv_file = os.path.join(dir, set + '.csv')
if not os.path.exists(csv_file):
# write a csv file
print('[dataset] write file %s' % csv_file)
with open(csv_file, 'w') as csvfile:
fieldnames = ['name', 'label']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for x in images:
writer.writerow({'name': x[0], 'label': x[1]})
csvfile.close()
class SimpsonDataset(data.Dataset):
def __init__(self, root, set, transform=None, target_transform=None):
self.root = root
self.set = set
self.transform = transform
self.target_transform = target_transform
self.path_images = os.path.join(self.root, 'characters')
self.classes = find_classes(self.root)
self.images = make_dataset(self.root, self.classes, set)
print('[dataset] Simpson set=%s number of classes=%d number of images=%d' % (
set, len(self.classes), len(self.images)))
write_csv_file(self.root, self.images, set)
def __getitem__(self, index):
path, target = self.images[index]
img = Image.open(path).convert('RGB')
if self.transform is not None:
img = self.transform(img)
if self.target_transform is not None:
target = self.target_transform(target)
return img, target
def __len__(self):
return len(self.images)
def get_number_classes(self):
return len(self.classes)
| [
"cenk@voltlines.com"
] | cenk@voltlines.com |
74bb432487665c9dafc8bef8671f7ec5d50da97d | f4efeb9333d92bf4ece483d19916218bd9fcc9da | /clientes/migrations/0001_initial.py | af66494980aed45220d0756f006190fc48d53df7 | [] | no_license | veronicaasilva/django-crud-fbv | 79473fadc23514ac8d40aa0307eb5ed8e1bb9616 | c20857df6249ad7b278d67dbe78ffac66b3e3b62 | refs/heads/master | 2023-08-16T23:45:42.383977 | 2020-07-10T21:42:25 | 2020-07-10T21:42:25 | 275,207,775 | 1 | 0 | null | 2021-09-22T19:21:18 | 2020-06-26T17:08:40 | HTML | UTF-8 | Python | false | false | 1,121 | py | # Generated by Django 3.0.7 on 2020-06-26 12:14
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Cliente',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nomecompleto', models.CharField(max_length=150, verbose_name='Nome Completo')),
('nascimento', models.DateField(verbose_name='Data de Nascimento')),
('sexo', models.CharField(choices=[('Feminino', 'Feminino'), ('Masculino', 'Masculino'), ('Outros', 'Outros')], max_length=9, verbose_name='Sexo')),
('whatsapp', models.CharField(max_length=15, verbose_name='Whatsapp')),
('endereco', models.CharField(max_length=150, verbose_name='Endereço')),
('cidade', models.CharField(max_length=30, verbose_name='Cidade')),
('email', models.EmailField(max_length=254, verbose_name='Email')),
],
),
]
| [
"veh.silva@gmail.com"
] | veh.silva@gmail.com |
68d81e16c4ab27cbf8211219e8f06aa614c009f2 | 3679b977de9b33233fc846e151b994acece71db6 | /Phenophase_Classification/evaluate_ensemble.py | 78d0c2b027c1c76d757e41ae848fff37fcbf802d | [
"MIT"
] | permissive | n8srumsey/ISEF-2020-Phenology | 1242433dc0da550bb4634c0dabd2dfd29a6be0ac | 881e0ba096ea5c20ebb1fcc7a066cdc1df5c3843 | refs/heads/master | 2023-04-03T16:56:46.580206 | 2021-04-01T17:05:43 | 2021-04-01T17:05:43 | 316,903,895 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,100 | py | """Evaluate the ensemble of models trained with k-fold cross validation."""
import os
from statistics import mode
import numpy as np
from tensorflow.keras.models import load_model
from tqdm import tqdm
from .generator_dataset import get_generators
from .utils import MODELS_DIR, RESULTS_DIR
def load_models(path):
directories = os.listdir(MODELS_DIR + path)
models = [load_model(directory) for directory in directories]
return models
def eval_ensemble(models, eval_dataset=get_generators(), mthd_mode=True, mthd_mean=False, mthd_weighted=False, model_results=None, mthd_stacked=False, train_dataset=get_generators()):
print('\n\n\n ***EVALUATING DATASET ***')
def eval_mode():
print('\n Mode Method:')
mode_predictions = []
generator = eval_dataset.gen_iter()
# loop through batches
for _ in tqdm(range(len(eval_dataset))):
x, y = next(generator)
pred = []
for model in models:
output = model.predict(x, batch_size=1)
pred.append(output[0])
for i in range(len(pred[0])):
item_predicitons = [predictions[i] for predictions in pred]
if mode([np.argmax(item) for item in item_predicitons]) == np.argmax(y):
mode_predictions.append(1)
else:
mode_predictions.append(0)
mode_binary_accuracy = float(np.sum(np.array(mode_predictions)) / len(mode_predictions))
return mode_binary_accuracy
def eval_mean():
print('\n Mean Method:')
mean_predictions = []
generator = eval_dataset.gen_iter()
# loop through batches
for _ in tqdm(range(len(eval_dataset))):
x, y = next(generator)
pred = []
for model in models:
output = model.predict(x, batch_size=1)
pred.append(output[0])
for i in range(len(pred[0])):
item_predicitons = [predictions[i] for predictions in pred]
mean = np.argmax(np.sum(item_predicitons, axis=0) / len(pred))
if mean == np.argmax(y):
mean_predictions.append(1)
else:
mean_predictions.append(0)
mean_binary_accuracy = float(np.sum(np.array(mean_predictions)) / len(mean_predictions))
return mean_binary_accuracy
def eval_weighted():
print('\n Weighted Method:')
pass
def eval_stacked():
print('\n Stacked Method:')
pass
eval_results = {'mode_binary_accuracy': None, 'mean_binary_accuracy': None, 'weighted_binary_accuracy': None, 'stacked_binary_accuracy': None}
if mthd_mode:
eval_results['mode_binary_accuracy'] = eval_mode()
if mthd_mean:
eval_results['mean_binary_accuracy'] = eval_mean()
if mthd_weighted:
eval_results['weighted_binary_accuracy'] = eval_weighted()
if mthd_stacked:
eval_results['stacked_binary_accuracy'] = eval_stacked()
print(eval_results)
return eval_results
| [
"nathan.s.rumsey@gmail.com"
] | nathan.s.rumsey@gmail.com |
7ba77fcadf0c114f543e83167777171881f8ed86 | 2d812a812eb19ed1687058a88f8806217198a2d1 | /account/forms.py | 52ced73be99997b18875ad863cb8d8c8eda1a4ba | [] | no_license | Ahmed075/World | 553181358279df0c8b265ff32e147f12574e512a | 7ab93eb56d1c5db618311dd42a0b09f0e189ef2a | refs/heads/main | 2023-02-18T00:26:45.916065 | 2021-01-11T04:10:55 | 2021-01-11T04:10:55 | 328,421,686 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,493 | py | from django import forms
from .models import User
class RegistrationForm(forms.ModelForm):
password = forms.CharField(min_length=8, required=True, widget=forms.PasswordInput)
password_confirmation = forms.CharField(min_length=8, required=True, widget=forms.PasswordInput)
class Meta:
model = User
fields = ('username', 'email', 'password', 'password_confirmation',
'first_name', 'last_name', 'image')
def clean_username(self):
username = self.cleaned_data.get('username')
if User.objects.filter(username=username).exists():
raise forms.ValidationError('Пользователь с данным именем пользователя уже существует')
return username
def clean_email(self):
email = self.cleaned_data.get('email')
if User.objects.filter(email=email).exists():
raise forms.ValidationError('Пользователь с данным именем email уже существует')
return email
def clean(self):
data = self.cleaned_data
password = data.get('password')
password_confirm = data.pop('password_confirmation')
if password != password_confirm:
raise forms.ValidationError('Пароли не совпадают')
return data
def save(self, commit=True):
print(self.cleaned_data)
user = User.objects.create_user(**self.cleaned_data)
return user | [
"akhmed096@mail.ru"
] | akhmed096@mail.ru |
a8330e9e1cec37a1ea43903ccf3e36b9c86c9794 | dd9b1b05db4968ee546be944f1e79f42dda143f3 | /SOvSO.py | f635fa145be7b4649aec5c953e8f7c31631a22b0 | [] | no_license | SOvSO/QLQ | e66b00713c53c6ee873821b929400688425cd0a5 | c863e141ff947bac1e2dc57b39c95069c634f9ed | refs/heads/master | 2020-06-11T23:30:33.912593 | 2019-06-28T09:07:03 | 2019-06-28T09:07:03 | 194,122,184 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 321,488 | py | from linepy import *
from liff.ttypes import LiffChatContext, LiffContext, LiffSquareChatContext, LiffNoneContext, LiffViewRequest
from akad.ttypes import Message
from akad.ttypes import ContentType as Type
from akad.ttypes import TalkException
from datetime import datetime, timedelta
from time import sleep
from bs4 import BeautifulSoup as bSoup
from bs4 import BeautifulSoup
from humanfriendly import format_timespan, format_size, format_number, format_length
#from gtts import gTTS
from threading import Thread
from io import StringIO
from multiprocessing import Pool
from googletrans import Translator
from urllib.parse import urlencode
from tmp.MySplit import *
from random import randint
from shutil import copyfile
from youtube_dl import YoutubeDL
import subprocess, youtube_dl, humanize, traceback
import subprocess as cmd
import platform
import requests, json
import time, random, sys, json, null, pafy, codecs, html5lib ,shutil ,threading, glob, re, base64, string, os, requests, six, ast, pytz, wikipedia, urllib, urllib.parse, atexit, asyncio, traceback
_session = requests.session()
#======================================================================================
botStart = time.time()
#======================================================================================
maxgie = LINE('')
maxgie.log("Auth Token : " + str(maxgie.authToken))
maxgie.log("Timeline Token : " + str(maxgie.tl.channelAccessToken))
waitOpen = codecs.open("Max2.json","r","utf-8")
settingsOpen = codecs.open("max.json","r","utf-8")
imagesOpen = codecs.open("image.json","r","utf-8")
stickersOpen = codecs.open("sticker.json","r","utf-8")
wait = json.load(waitOpen)
images = json.load(imagesOpen)
settings = json.load(settingsOpen)
stickers = json.load(stickersOpen)
#==============================================================================#
maxgieMID = maxgie.profile.mid
maxgieProfile = maxgie.getProfile()
maxgieSettings = maxgie.getSettings()
#==============================================================================#
maxgiePoll = OEPoll(maxgie)
maxgieMID = maxgie.getProfile().mid
admin = [maxgieMID]
loop = asyncio.get_event_loop()
listToken = ['desktopmac','desktopwin','iosipad','chromeos','win10']
mc = {"wr":{}}
unsendchat = {}
msgdikirim = {}
msg_image={}
msg_video={}
msg_sticker={}
wbanlist = []
msg_dict = {}
temp_flood = {}
#==============================================================================#
did = {"join": True,}
kcn = {"autojoin": False,"Members":5,}
sets = {
"l":True,
"c":True,
"cm":"AUTO LIKE FOR : SOvSO",
"winvite": False,
"wblacklist": False,
"tagsticker": False,
"Sticker": False,
"autoJoin": False,
"autoCancel": False,
"autoJoinTicket": False,
"changePictureProfile": False,
"addSticker": {
"name": "",
"status": False,
},
"messageSticker": {
"addName": "",
"addStatus": False,
"listSticker": {
"tag": {
"STKID": "",
"STKPKGID": "",
"STKVER": ""
},
"lv": {
"STKID": "",
"STKPKGID": "",
"STKVER": ""
},
"wc": {
"STKID": "",
"STKPKGID": "",
"STKVER": ""
},
"add": {
"STKID": "",
"STKPKGID": "",
"STKVER": ""
},
"join2": {
"STKID": "",
"STKPKGID": "",
"STKVER": ""
},
}
},
}
chatbot = {
"admin": [],
"botMute": [],
"botOff": [],
}
anyun = {
"addTikel": {
"name": "",
"status": False
},
}
nissa = {
"addTikel2": {
"name": "",
"status": False
},
}
tagadd = {
"tagss": False,
"tags": False,
"tag": "วิธีตั้งแทค \n- ตั้งแทค ข้อความที่ต้องการ",
"add": "ยินดีที่ได้รู้จักนะครับ 😃\nรับแอดละน้า. >_<",
"wctext": "หวัดดีๆๆๆๆ",
"lv": "จะรีบไปใหน หว่า",
"b": "บัญชีนี้ถูกป้องกันด้วย\n AUTO BLOCK ★ʄທയஆടஷະ★ \nระบบได้บล็อคบัญชีคุณอัตโนมัติ >_<",
"c":"AUTO LIKE FOR ★ʄທയஆടஷະ★ ",
"m": "เจอลิ้งไม่ได้นะ ผมต้องมุด555",
}
apalo = {
"winvite": False,
"wblacklist": False,
"blacklist":{},
"Talkblacklist": {},
"talkban": True,
"Talkwblacklist": False,
"Talkdblacklist": False,
}
temp = {"te": "#000000","t": "#FFC000"}
read = {
"readPoint": {},
"readMember": {},
"readTime": {},
"setTime":{},
"ROM": {}
}
rfuSet = {
'setTime':{},
'ricoinvite':{},
'winvite':{},
}
ProfileMe = {
"coverId": "",
"statusMessage": "",
"PictureMe": "",
"NameMe": "",
}
peler = {
"receivercount": 0,
"sendcount": 0
}
hoho = {
"savefile": False,
"namefile": "",
}
user1 = maxgieMID
user2 = ""
setTime = {}
setTime = rfuSet['setTime']
contact = maxgie.getProfile()
backup = maxgie.getProfile()
backup.dispalyName = contact.displayName
backup.statusMessage = contact.statusMessage
backup.pictureStatus = contact.pictureStatus
mulai = time.time()
Start = time.time()
tz = pytz.timezone("Asia/Jakarta")
timeNow = datetime.now(tz=tz)
settings["myProfile"]["displayName"] = maxgieProfile.displayName
settings["myProfile"]["statusMessage"] = maxgieProfile.statusMessage
settings["myProfile"]["pictureStatus"] = maxgieProfile.pictureStatus
cont = maxgie.getContact(maxgieMID)
settings["myProfile"]["videoProfile"] = cont.videoProfile
coverId = maxgie.getProfileDetail()["result"]["objectId"]
settings["myProfile"]["coverId"] = coverId
ProfileMe["statusMessage"] = maxgieProfile.statusMessage
ProfileMe["pictureStatus"] = maxgieProfile.pictureStatus
coverId = maxgie.getProfileDetail()["result"]["objectId"]
ProfileMe["coverId"] = coverId
#=====================================================================
with open("max.json", "r", encoding="utf_8_sig") as f:
anu = json.loads(f.read())
anu.update(settings)
settings = anu
with open("Max2.json", "r", encoding="utf_8_sig") as f:
itu = json.loads(f.read())
itu.update(wait)
wait = itu
#==============================================================================#
def RhyN_(to, mid):
try:
aa = '{"S":"0","E":"3","M":'+json.dumps(mid)+'}'
text_ = '@Ma '
maxgie.sendMessage(to, text_, contentMetadata={'MENTION':'{"MENTIONEES":['+aa+']}'}, contentType=0)
except Exception as error:
logError(error)
def sendMessageCustom(to, text, icon , name):
annda = {'MSG_SENDER_ICON': icon,
'MSG_SENDER_NAME': name,
}
maxgie.sendMessage(to, text, contentMetadata=annda)
def sendMessageCustomContact(to, icon, name, mid):
annda = { 'mid': mid,
'MSG_SENDER_ICON': icon,
'MSG_SENDER_NAME': name,
}
maxgie.sendMessage(to, '', annda, 13)
def cloneProfile(mid):
contact = maxgie.getContact(mid)
if contact.videoProfile == None:
maxgie.cloneContactProfile(mid)
else:
profile = maxgie.getProfile()
profile.displayName, profile.statusMessage = contact.displayName, contact.statusMessage
maxgie.updateProfile(profile)
pict = maxgie.downloadFileURL('http://dl.profile.line-cdn.net/' + contact.pictureStatus, saveAs="tmp/pict.bin")
vids = maxgie.downloadFileURL( 'http://dl.profile.line-cdn.net/' + contact.pictureStatus + '/vp', saveAs="tmp/video.bin")
changeVideoAndPictureProfile(pict, vids)
coverId = maxgie.getProfileDetail(mid)['result']['objectId']
maxgie.updateProfileCoverById(coverId)
def backupProfile():
profile = maxgie.getContact(maxgieMID)
settings['myProfile']['displayName'] = profile.displayName
settings['myProfile']['pictureStatus'] = profile.pictureStatus
settings['myProfile']['statusMessage'] = profile.statusMessage
settings['myProfile']['videoProfile'] = profile.videoProfile
coverId = maxgie.getProfileDetail()['result']['objectId']
settings['myProfile']['coverId'] = str(coverId)
def restoreProfile():
profile = maxgie.getProfile()
profile.displayName = settings['myProfile']['displayName']
profile.statusMessage = settings['myProfile']['statusMessage']
if settings['myProfile']['videoProfile'] == None:
profile.pictureStatus = settings['myProfile']['pictureStatus']
maxgie.updateProfileAttribute(8, profile.pictureStatus)
maxgie.updateProfile(profile)
else:
maxgie.updateProfile(profile)
pict = maxgie.downloadFileURL('http://dl.profile.line-cdn.net/' + settings['myProfile']['pictureStatus'], saveAs="tmp/pict.bin")
vids = maxgie.downloadFileURL( 'http://dl.profile.line-cdn.net/' + settings['myProfile']['pictureStatus'] + '/vp', saveAs="tmp/video.bin")
changeVideoAndPictureProfile(pict, vids)
coverId = settings['myProfile']['coverId']
maxgie.updateProfileCoverById(coverId)
def autoresponuy(to,msg,wait):
to = msg.to
if msg.to not in wait["GROUP"]['AR']['AP']:
return
if msg.to in wait["GROUP"]['AR']['S']:
maxgie.sendMessage(msg.to,text=None,contentMetadata=wait["GROUP"]['AR']['S'][msg.to]['Sticker'], contentType=7)
if(wait["GROUP"]['AR']['P'][msg.to] in [""," ","\n",None]):
return
if '@!' not in wait["GROUP"]['AR']['P'][msg.to]:
wait["GROUP"]['AR']['P'][msg.to] = '@!'+wait["GROUP"]['AR']['P'][msg.to]
nama = maxgie.getGroup(msg.to).name
sd = maxgie.waktunjir()
maxgie.sendMention(msg.to,wait["GROUP"]['AR']['P'][msg.to].replace('greeting',sd).replace(';',nama),'',[msg._from]*wait["GROUP"]['AR']['P'][msg.to].count('@!'))
def ClonerV2(to):
try:
contact = maxgie.getContact(to)
profile = maxgie.profile
profileName = maxgie.profile
profileStatus = maxgie.profile
profileName.displayName = contact.displayName
profileStatus.statusMessage = contact.statusMessage
maxgie.updateProfile(profileName)
maxgie.updateProfile(profileStatus)
profile.pictureStatus = maxgie.downloadFileURL('http://dl.profile.line-cdn.net/{}'.format(contact.pictureStatus, 'path'))
if maxgie.getProfileCoverId(to) is not None:
maxgie.updateProfileCoverById(maxgie.getProfileCoverId(to))
maxgie.updateProfilePicture(profile.pictureStatus)
print("Success Clone Profile {}".format(contact.displayName))
return maxgie.updateProfile(profile)
if contact.videoProfile == None:
return "Get Video Profile"
path2 = "http://dl.profile.line-cdn.net/" + profile.pictureStatus
maxgie.updateProfilePicture(path2, 'vp')
except Exception as error:
print(error)
def sendMentionFooter(to, mid, firstmessage, lastmessage):
try:
arrData = ""
text = "%s " %(str(firstmessage))
arr = []
mention = "@LopeAgri"
slen = str(len(text))
elen = str(len(text) + len(mention))
arrData = {'S':slen, 'E':elen, 'M':mid}
arr.append(arrData)
text += mention + str(lastmessage)
nama = "{}".format(maxgie.getContact(maxgieMID).displayName)
img = "http://dl.profile.line-cdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus)
ticket = "https://line.me/ti/p/~topzalove123"
maxgie.sendMessage(to, text, {'AGENT_LINK': ticket, 'AGENT_ICON': img, 'AGENT_NAME': nama, 'MENTION': str('{"MENTIONEES":' + json.dumps(arr) + '}')}, 0)
except Exception as error:
logError(error)
maxgie.sendMessage(to, "[ INFO ] Error :\n" + str(error))
def ggggg(secs):
mins, secs = divmod(secs,60)
hours, mins = divmod(mins,60)
days, hours = divmod(hours,24)
return '%02d วัน\n───────────\n%02d ชั่วโมง\n───────────\n%02d นาที\n───────────\n' %(days ,hours, mins)
def mentions(to, text="", mids=[]):
arrData = ""
arr = []
mention = "@"
if mids == []:
raise Exception("Invalid mids")
if "@!" in text:
if text.count("@!") != len(mids):
raise Exception("Invalid mids")
texts = text.split("@!")
textx = ""
for mid in mids:
textx += str(texts[mids.index(mid)])
slen = len(textx)
elen = len(textx) + 15
arrData = {'S':str(slen), 'E':str(elen - 4), 'M':mid}
arr.append(arrData)
textx += mention
textx += str(texts[len(mids)])
else:
textx = ""
slen = len(textx)
elen = len(textx) + 15
arrData = {'S':str(slen), 'E':str(elen - 4), 'M':mids[0]}
arr.append(arrData)
textx += mention + str(text)
maxgie.sendMessage(to, textx, {'AGENT_NAME':'LINE OFFICIAL', 'AGENT_LINK': 'line://ti/p/~{}'.format(maxgie.getProfile().userid), 'AGENT_ICON': "http://dl.profile.line-cdn.net/" + maxgie.getContact("ua053fcd4c52917706ae60c811e39d3ea").picturePath, 'MENTION': str('{"MENTIONEES":' + json.dumps(arr) + '}')}, 0)
def changeVideoAndPictureProfile(pict, vids):
try:
files = {'file': open(vids, 'rb')}
obs_params = maxgie.genOBSParams({'oid': maxgieMID, 'ver': '2.0', 'type': 'video', 'cat': 'vp.mp4'})
data = {'params': obs_params}
r_vp = maxgie.server.postContent('{}/talk/vp/upload.nhn'.format(str(maxgie.server.LINE_OBS_DOMAIN)), data=data, files=files)
if r_vp.status_code != 201:
return "Failed update profile"
maxgie.updateProfilePicture(pict, 'vp')
return "Success update profile"
except Exception as e:
raise Exception("Error change video and picture profile {}".format(str(e)))
os.remove("FadhilvanHalen.mp4")
def sendTemplate(to, data):
xyz = LiffChatContext(to)
xyzz = LiffContext(chat=xyz)
view = LiffViewRequest('1602687308-GXq4Vvk9', xyzz)
token = maxgie.liff.issueLiffView(view)
url = 'https://api.line.me/message/v3/share'
headers = {
'Content-Type': 'application/json',
'Authorization': 'Bearer %s' % token.accessToken
}
data = {"messages":[data]}
requests.post(url, headers=headers, data=json.dumps(data))
def sendTemplate(group, data):
xyz = LiffChatContext(group)
xyzz = LiffContext(chat=xyz)
view = LiffViewRequest('1602687308-GXq4Vvk9', xyzz)
token = maxgie.liff.issueLiffView(view)
url = 'https://api.line.me/message/v3/share'
headers = {
'Content-Type': 'application/json',
'Authorization': 'Bearer %s' % token.accessToken
}
data = {"messages":[data]}
requests.post(url, headers=headers, data=json.dumps(data))
def NOTIFIED_READ_MESSAGE(op):
try:
if read['readPoint'][op.param1]:
if op.param2 in read['readMember'][op.param1]:
pass
else:
read['readMember'][op.param1][op.param2] = True
read['ROM'][op.param1] = op.param2
else:
pass
except:
pass
def logError(text):
maxgie.log("[ แจ้งเตือน ] " + str(text))
time_ = datetime.now()
with open("errorLog.txt","a") as error:
error.write("\n[%s] %s" % (str(time), text))
def command(text):
pesan = text.lower()
if settings["setKey"] == True:
if pesan.startswith(settings["keyCommand"]):
cmd = pesan.replace(settings["keyCommand"],"")
else:
cmd = "Undefined command"
else:
cmd = text.lower()
return cmd
def sendMessage(to, text, contentMetadata={}, contentType=0):
mes = Message()
mes.to, mes.from_ = to, profile.mid
mes.text = text
mes.contentType,mes.contentMetadata = contentType, contentMetadata
if to not in messageReq:
messageReq[to] = -1
messageReq[to] += 1
def sendMention(to, mid, firstmessage, lastmessage):
try:
arrData = ""
text = "%s " %(str(firstmessage))
arr = []
mention = "@x "
slen = str(len(text))
elen = str(len(text) + len(mention) - 1)
arrData = {'S':slen, 'E':elen, 'M':mid}
arr.append(arrData)
text += mention + str(lastmessage)
maxgie.sendMessage(to, text, {'MENTION': str('{"MENTIONEES":' + json.dumps(arr) + '}')}, 0)
except Exception as error:
logError(error)
maxgie.sendMessage(to, "[ INFO ] Error :\n" + str(error))
def mentionMembers(to, mid):
try:
group = maxgie.getGroup(to)
mids = [mem.mid for mem in group.members]
jml = len(mids)
arrData = ""
if mid[0] == mids[0]:
textx = ""
else:
textx = ""
arr = []
for i in mid:
no = mids.index(i) + 1
textx += "{}.".format(str(no))
mention = "@x\n"
slen = str(len(textx))
elen = str(len(textx) + len(mention) - 1)
arrData = {'S':slen, 'E':elen, 'M':i}
arr.append(arrData)
textx += mention
if no == jml:
textx += ""
textx += ""
maxgie.sendMessage(to, textx, {'MENTION': str('{"MENTIONEES":' + json.dumps(arr) + '}')}, 0)
except Exception as error:
logError(error)
maxgie.sendMessage(to, "[ INFO ] Error :\n" + str(error))
def timeChange(secs):
mins, secs = divmod(secs,60)
hours, mins = divmod(mins,60)
days, hours = divmod(hours,24)
weeks, days = divmod(days,7)
months, weeks = divmod(weeks,4)
text = ""
if months != 0: text += "%02d เดือน" % (months)
if weeks != 0: text += " %02d สัปดาห์" % (weeks)
if days != 0: text += " %02d วัน" % (days)
if hours != 0: text += " %02d ชั่วโมง" % (hours)
if mins != 0: text += " %02d นาที" % (mins)
if secs != 0: text += " %02d วินาที" % (secs)
if text[0] == " ":
text = text[1:]
return text
def restartBot():
print ("RESETBOT..")
python = sys.executable
os.execl(python, python, *sys.argv)
def load():
global images
global stickers
with open("image.json","r") as fp:
images = json.load(fp)
with open("sticker.json","r") as fp:
stickers = json.load(fp)
# with open("stickerz.json","r") as fp:
# stickerz = json.load(fp)
def sendStickers(to, sver, spkg, sid):
contentMetadata = {
'STKVER': sver,
'STKPKGID': spkg,
'STKID': sid
}
maxgie.sendMessage(to, '', contentMetadata, 7)
def sendSticker(to, mid, sver, spkg, sid):
contentMetadata = {
'MSG_SENDER_NAME': maxgie.getContact(mid).displayName,
'MSG_SENDER_ICON': 'http://dl.profile.line-cdn.net/' + maxgie.getContact(mid).pictureStatus,
'STKVER': sver,
'STKPKGID': spkg,
'STKID': sid
}
maxgie.sendMessage(to, '', contentMetadata, 7)
def sendImage(to, path, name="image"):
try:
if settings["server"] == "VPS":
maxgie.sendImageWithURL(to, str(path))
except Exception as error:
logError(error)
def command(text):
pesan = text.lower()
if settings["setKey"] == True:
if pesan.startswith(settings["keyCommand"]):
cmd = pesan.replace(settings["keyCommand"],"")
else:
cmd = "Undefined command"
else:
cmd = text.lower()
return cmd
def removeCmd(cmd, text):
key = settings["keyCommand"]
if settings["setKey"] == False: key = ''
rmv = len(key + cmd) + 1
return text[rmv:]
def duc1(to, duc1):
data={
"type": "flex",
"altText": duc1,
"contents": {
"type": "bubble",
"styles": {
"footer": {"backgroundColor": "#000000"},
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"contents": [
{
"type": "icon",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "md"
},
{
"type": "text",
"text": duc1,
"color":"#00FF00",
"gravity": "center",
"align":"center",
"wrap": True,
"size": "md"
},
{
"type": "icon",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "md"
},
]
}
]
}
}
}
sendTemplate(to, data)
#=====================================================================
#=====================================================================
def backupData():
try:
backup = settings
f = codecs.open('max.json','w','utf-8')
json.dump(backup, f, sort_keys=True, indent=4, ensure_ascii=False)
backup = images
f = codecs.open('image.json','w','utf-8')
json.dump(backup, f, sort_keys=True, indent=4, ensure_ascii=False)
backup = stickers
f = codecs.open('sticker.json','w','utf-8')
json.dump(backup, f, sort_keys=True, indent=4, ensure_ascii=False)
backup = wait
f = codecs.open('Max2.json','w','utf-8')
json.dump(backup, f, sort_keys=True, indent=4, ensure_ascii=False)
return True
except Exception as error:
logError(error)
return False
#==============================================================================#
async def maxgieBot(op):
try:
if settings["restartPoint"] != None:
maxgie.sendMessage(settings["restartPoint"], 'ล็อคอินแล้วเรียบร้อย ><')
settings["restartPoint"] = None
if op.type == 0:
return
if op.type == 5:
if settings["autoAdd"] == True:
# if op.param2 in admin:
# return
maxgie.findAndAddContactsByMid(op.param1)
maxgie.sendMessage(op.param1,"{}".format(tagadd["add"]))
msgSticker = sets["messageSticker"]["listSticker"]["add"]
if msgSticker != None:
sid = msgSticker["STKID"]
spkg = msgSticker["STKPKGID"]
sver = msgSticker["STKVER"]
sendSticker(op.param1, sver, spkg, sid)
print ("[ 5 ] AUTO ADD")
if op.type == 5:
if settings["autoblock"] == True:
#if op.param2 in admin:
# return
maxgie.sendMessage(op.param1,tagadd["b"])
# msgSticker = sets["messageSticker"]["listSticker"]["block"]
# if msgSticker != None:
# sid = msgSticker["STKID"]
# spkg = msgSticker["STKPKGID"]
# sver = msgSticker["STKVER"]
# sendSticker(op.param1, sver, spkg, sid)
#maxgie.sendMessage(op.param1,tagaad["b"])
maxgie.blockContact(op.param1)
print ("[ 5 ] AUTO BLOCK")
if op.type == 13:
if kcn["autojoin"] == True:
G = maxgie.getCompactGroup(op.param1)
if len(G.members) <= kcn["Members"]:
maxgie.acceptGroupInvitation(op.param1)
maxgie.leaveGroup(op.param1)
else:
maxgie.acceptGroupInvitation(op.param1)
if op.type == 13:
if maxgieMID in op.param3:
if did["join"] == True:
friend = maxgie.getAllContactIds()
kontak = maxgie.getContacts(friend)
for ids in kontak:
The = ids.mid
if op.param2 not in The:
try:
maxgie.acceptGroupInvitation(op.param1)
ginfo = maxgie.getGroup(op.param1)
except:
maxgie.acceptGroupInvitation(op.param1)
ginfo = maxgie.getGroup(op.param1)
maxgie.sendMessage(op.param1,"BYE BYE~~")
maxgie.leaveGroup(op.param1)
if op.type == 13:
if maxgieMID in op.param3:
G = maxgie.getGroup(op.param1)
if settings["autoJoin"] == True:
if settings["autoCancel"]["on"] == True:
if len(G.members) <= settings["autoCancel"]["members"]:
maxgie.acceptGroupInvitation(op.param1)
else:
maxgie.leaveGroup(op.param1)
else:
maxgie.acceptGroupInvitation(op.param1)
elif settings["autoCancel"]["on"] == True:
if len(G.members) <= settings["autoCancel"]["members"]:
maxgie.acceptGroupInvitation(op.param1)
maxgie.leaveGroup(op.param1)
else:
Inviter = op.param3.replace(" ",',')
InviterX = Inviter.split(",")
matched_list = []
for tag in apalo["blacklist"]:
matched_list+=[str for str in InviterX if str == tag]
if matched_list == []:
pass
else:
maxgie.acceptGroupInvitation(op.param1, matched_list)
maxgie.leaveGroup(op.param1, matched_list)
print ("[ 17 ] LEAVE GROUP")
if op.type == 15:
if settings["Leave"] == True:
if op.param2 in admin:
return
ginfo = maxgie.getGroup(op.param1)
contact = maxgie.getContact(op.param2)
name = contact.displayName
pp = contact.pictureStatus
s = name + " " + tagadd["lv"]
data = {
"type": "flex",
"altText": "มีคนออกกลุ่ม",
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "text",
"text": "{}".format(s),
"wrap": True,
"color": "#00F5FF",
"gravity": "center",
"size": "md"
},
]
}
}
}
sendTemplate(op.param1, data)
data = {
"type": "flex",
"altText": "มีคนออกกลุ่ม",
"contents": {
"type": "bubble",
"hero": {
"type":"image",
"url": "https://profile.line-scdn.net/" + str(pp),
"size":"full",
"action": {
"type": "uri",
"uri": "line://ti/p/~nonbysignal"
#
# "
}
},
}
}
sendTemplate(op.param1, data)
if op.type == 15:
if settings["lv"] == True:
ginfo = maxgie.getGroup(op.param1)
msg = sets["messageSticker"]["listSticker"]["lv"]
if msg != None:
contact = maxgie.getContact(maxgieMID)
a = contact.displayName
stk = msg['STKID']
spk = msg['STKPKGID']
data={'type':'template','altText': str(a)+' ส่งสติ๊กเกอร์','template':{'type':'image_carousel','columns':[{'imageUrl':'https://stickershop.line-scdn.net/stickershop/v1/sticker/{}/IOS/sticker_animation@2x.png'.format(stk),'action':{'type':'uri','uri':'https://line.me/S/sticker/{}'.format(spk)}}]}}
sendTemplate(op.param1, data)
if op.type == 17:
if settings["Welcome"] == True:
if op.param2 in admin:
return
g = maxgie.getGroup(op.param1)
contact = maxgie.getContact(op.param2)
gname = g.name
name = contact.displayName
pp = contact.pictureStatus
s = "〖 Group Welcome 〗\n"
s += "\n• ชื่อกลุ่ม : {}".format(gname)
s += "\n• ชื่อคนเข้ากลุ่ม : {}\n\n".format(name)
s += tagadd["wctext"]
data = {
"type": "flex",
"altText": "มีคนเข้ากลุ่ม",
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "text",
"text": "{}".format(s),
"wrap": True,
"color": "#00F5FF",
"align": "center",
"gravity": "center",
"size": "md"
},
]
}
}
}
sendTemplate(op.param1, data)
data = {
"type": "flex",
"altText": "ใครออกไปใหนหว่า",
"contents": {
"type": "bubble",
"hero": {
"type":"image",
"url": "https://profile.line-scdn.net/" + str(pp),
"size":"full",
"action": {
"type": "uri",
"uri": "line://ti/p/~nonbysignal"
#"
}
},
}
}
sendTemplate(op.param1, data)
if op.type == 17:
if settings["Wc"] == True:
if op.param2 in admin:
return
ginfo = maxgie.getGroup(op.param1)
contact = maxgie.getContact(op.param2)
cover = maxgie.getProfileCoverURL(op.param2)
names = contact.displayName
status = contact.statusMessage
pp = contact.pictureStatus
data = {
"type": "flex",
"altText": "มีคนเข้ากลุ่มไปแล้วนะ",
"contents": {
"type": "bubble",
'styles': {
"body": {
"backgroundColor": '#EE1289'
},
},
"hero": {
"type":"image",
"url": cover,
"size":"full",
"aspectRatio":"20:13",
"aspectMode":"cover"
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "image",
"url": "https://profile.line-scdn.net/" + str(pp),
"size": "lg"
},
{
"type":"text",
"text":" "
},
{
"type":"text",
"text":"{}".format(names),
"size":"xl",
"weight":"bold",
"color":"#00F5FF",
"align":"center"
},
{
"type": "text",
"text": status,
"wrap": True,
"align": "center",
"gravity": "center",
"color": "#00F5FF",
"size": "md"
},
]
}
}
}
sendTemplate(op.param1, data)
if op.type == 17:
if settings["wcsti2"] == True:
ginfo = maxgie.getGroup(op.param1)
msg = sets["messageSticker"]["listSticker"]["wc"]
if msg != None:
contact = maxgie.getContact(maxgieMID)
a = contact.displayName
stk = msg['STKID']
spk = msg['STKPKGID']
data={'type':'template','altText': str(a)+' ส่งสติ๊กเกอร์','template':{'type':'image_carousel','columns':[{'imageUrl':'https://stickershop.line-scdn.net/stickershop/v1/sticker/{}/IOS/sticker_animation@2x.png'.format(stk),'action':{'type':'uri','uri':'https://line.me/S/sticker/{}'.format(spk)}}]}}
sendTemplate(op.param1, data)
#=====================================================================
# if op.type == 26:
# print ("[ 26 ] RECEIVE MESSAGE")
# msg = op.message
# text = str(msg.text)
# msg_id = msg.id
# receiver = msg.to
# sender = msg._from
# cmd = command(text)
# setKey = settings["keyCommand"].title()
# if settings["setKey"] == False: setKey = ""
# isValid = True
# if isValid != False:
# if msg.toType == 0 and sender != maxgieMID: to = sender
# else: to = receiver
# if msg.toType == 0 and settings["replays"] and sender != maxgieMID:
# contact = maxgie.getContact(sender)
#if contact.attributes != 32 and "[ auto reply ]" not in text.lower():
# msgSticker = sets["messageSticker"]["listSticker"]["replay"]
# if msgSticker != None:
# sid = msgSticker["STKID"]
# spkg = msgSticker["STKPKGID"]
# sver = msgSticker["STKVER"]
# sendSticker(to, sver, spkg, sid)
# if "@!" in settings["reply"]:
# msg_ = settings["reply"].split("@!")
# sendMention(to, sender, "「 แทคส่วนตัว 」\n" + msg_[0], msg_[1])
# maxgie.sendMessage(to, "「 แทคส่วนตัว 」\n", settings["reply"])
if op.type == 24:
if settings["autoLeave"] == True:
maxgie.leaveRoom(op.param1)
if op.type == 25:
msg = op.message
if msg.contentType == 13:
if apalo["winvite"] == True:
if msg._from in admin:
_name = msg.contentMetadata["displayName"]
invite = msg.contentMetadata["mid"]
groups = maxgie.getGroup(msg.to)
pending = groups.invitee
targets = []
for s in groups.members:
if _name in s.displayName:
maxgie.sendMessage(msg.to,"-> " + _name + " ทำการเชิญสำเร็จ")
break
elif invite in apalo["blacklist"]:
maxgie.sendMessage(msg.to,"ขออภัย, " + _name + " บุคคนนี้อยู่ในรายการบัญชีดำ")
maxgie.sendMessage(msg.to,"ใช้คำสั่ง!,ล้างดำ,ดึง" )
break
else:
targets.append(invite)
if targets == []:
pass
else:
for target in targets:
try:
maxgie.findAndAddContactsByMid(target)
maxgie.inviteIntoGroup(msg.to,[target])
maxgie.sendMessage(msg.to,"เชิญ :" + _name + "เรียบร้อย")
apalo["winvite"] = False
break
except:
try:
maxgie.findAndAddContactsByMid(invite)
maxgie.inviteIntoGroup(op.param1,[invite])
apalo["winvite"] = False
except:
maxgie.sendMessage(msg.to,"😧ตรวจพบข้อผิดพลาดที่ไม่ทราบสาเหตุ อาจเป็นได้ว่าบัญชีบัคเชิญ")
apalo["winvite"] = False
break
if op.type == 25:
msg = op.message
text = str(msg.text)
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.to not in unsendchat:
unsendchat[msg.to] = {}
if msg_id not in unsendchat[msg.to]:
unsendchat[msg.to][msg_id] = msg_id
msgdikirim[msg_id] = {"text":text}
to = msg.to
isValid = True
cmd = command(text)
setkey = settings['keyCommand'].title()
if settings['setKey'] == False: setkey = ''
if isValid != False:
if msg.contentType in [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]:
try:
if msg.to not in wait['Unsend']:
wait['Unsend'][msg.to] = {'B':[]}
if msg._from not in [maxgieMID]:
return
wait['Unsend'][msg.to]['B'].append(msg.id)
except:pass
if op.type in [25, 26]:
msg = op.message
text = str(msg.text)
msg_id = msg.id
receiver = msg.to
sender = msg._from
to = msg.to
cmd = command(text)
isValid = True
setKey = settings["keyCommand"].title()
if settings["setKey"] == False: setKey = ''
if isValid != False:
if msg.toType == 0 and sender != maxgieMID: to = sender
else: to = receiver
if msg._from not in maxgieMID:
if apalo["talkban"] == True:
if msg._from in apalo["Talkblacklist"]:
maxgie.sendMention(to, "คุณติดดำผมอยู่นะครับ @! :)","",[msg._from])
maxgie.kickoutFromGroup(msg.to, [msg._from])
if msg.contentType == 13:
if apalo["Talkwblacklist"] == True:
if msg._from in admin:
if msg.contentMetadata["mid"] in apalo["Talkblacklist"]:
maxgie.sendMessage(msg.to,"Sudah Ada")
apalo["Talkwblacklist"] = False
else:
apalo["Talkblacklist"][msg.contentMetadata["mid"]] = True
apalo["Talkwblacklist"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เพิ่มบัญชีนี้ในรายการสีดำเรียบร้อยแล้ว🌟")
if apalo["Talkdblacklist"] == True:
if msg._from in admin:
if msg.contentMetadata["mid"] in apalo["Talkblacklist"]:
del apalo["Talkblacklist"][msg.contentMetadata["mid"]]
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เพิ่มบัญชีนี้ในรายการสีขาวเรียบร้อยแล้ว🌟")
apalo["Talkdblacklist"] = False
else:
apalo["Talkdblacklist"] = False
maxgie.sendMessage(msg.to,"Tidak Ada Dalam Da ftar Blacklist")
if op.type in [25,26]:
msg = op.message
text = str(msg.text)
msg_id = msg.id
receiver = msg.to
sender = msg._from
to = msg.to
isValid = True
if isValid != False:
if msg.toType == 0 and sender != maxgieMID: to = sender
else: to = receiver
if msg.contentType == 16:
if msg.toType in [2,1,0]:
try:
if sets["l"] == True:
purl = msg.contentMetadata["postEndUrl"].split('userMid=')[1].split('&postId=')
duc1(to,"🌟ไลค์ให้แล้วนะครับ🌟")
if purl[1] not in wait['postId']:
maxgie.likePost(purl[0], purl[1], random.choice([1001]))
if sets["c"] == True:
maxgie.createComment(purl[0], purl[1], sets["cm"])
wait['postId'].append(purl[1])
else:
pass
except Exception as e:
if sets["l"] == True:
purl = msg.contentMetadata['postEndUrl'].split('homeId=')[1].split('&postId=')
duc1(to,"🌟ไลค์ให้แล้วนะครับ🌟")
if purl[1] not in wait['postId']:
maxgie.likePost(msg._from, purl[1], random.choice([1001]))
if sets["c"] == True:
maxgie.createComment(msg._from, purl[1], sets["cm"])
wait['postId'].append(purl[1])
else:pass
#=====================================================================
#=====================================================================
if op.type == 25:
print("[ 25 ] SEND MESSAGE")
msg = op.message
text = msg.text
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.toType == 0 or msg.toType == 1 or msg.toType == 2:
if msg.toType == 0:
if sender != maxgie.profile.mid:
to = sender
else:
to = receiver
elif msg.toType == 1:
to = receiver
elif msg.toType == 2:
to = receiver
if msg.contentType == 0:
if text is None:
return
if text.lower() == "ประกาศ":
sa="วิธีใช้ ประกาศกลุ่ม >\\<"
sa+="\n- ประกาศ ข้อความ/ไอดีไลน์"
sa+="\nตัวอย่าง >\\<"
sa+="\n- ประกาศ มอนิ่ง/nonbysignal"
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": " ★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
if text.lower() == "ตั้งapi":
sa = "วีธีใช้ api >\\<"
sa += "\n- ตั้งapi คีย์เวิร์ด;;ตอบกลับ"
sa += "\nตัวอย่าง >\\<"
sa += "\n- ตั้งapi เทส;;เทสทำไม"
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
if text.lower() == "stag":
sa = "วิธีใช้ stag >\\<"
sa += "\n- stag [เลขที่ต้องการ] @user"
sa += "\nตัวอย่าง >\\<"
sa += "\n- stag 1 @user"
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
if text.lower() == "สะกด":
sa = "วิธีใช้ สะกด >\\<"
sa += "\n- สะกดกิต [ข้อความ] @user"
sa += "\nตัวอย่าง >\\<"
sa += "\n- สะกด รักทอป @user"
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
if text.lower() == "เชคค่า" or text.lower() == "set":
sas = "☆ Settings ☆"
if settings["autoAdd"] == True: sa = "\n• ออโต้แอด ( เปิด )"
else:sa = "\n• ออโต้แอด ( ปิด )"
if settings["autoblock"] == True: sa += "\n• ออโต้บล็อค ( เปิด )"
else:sa += "\n• ออโต้บล็อค ( ปิด )"
if settings["autoCancel"]["on"] == True: sa +="\n• ยกเชิญที่มีสมาชิกต่ำกว่า: " + str(settings["autoCancel"]["members"])
else:sa += "\n• ปฏิเสธกลุ่มเชิญ ( ปิด )"
if tagadd["tags"] == True: sa += "\n• ตอบกลับคนแทค ( เปิด )"
else:sa += "\n• ตอบกลับคนแทค ( ปิด )"
if tagadd["tagss"] == True: sa += "\n• ตอบกลับคนแทค2 ( เปิด )"
else:sa += "\n• ตอบกลับคนแทค2 ( ปิด )"
if sets["tagsticker"] == True: sa += "\n• แทคสติ๊กเกอร์ ( เปิด )"
else:sa += "\n• แทคสติ๊กเกอร์ ( ปิด )"
if settings["autolike"] == True: sa += "\n• ออโต้ไลค์ ( เปิด )"
else:sa += "\n• ออโต้ไลค์ ( ปิด )"
if settings["com"] == True: sa += "\n• คอมเม้นโพส ( เปิด )"
else:sa += "\n• คอมเม้นโพส ( ปิด )"
if settings["Welcome"] == True: sa += "\n• ต้อนรับคนเข้ากลุ่ม ( เปิด )"
else:sa += "\n• ต้อนรับคนเข้ากลุ่ม ( ปิด )"
if settings["Wc"] == True: sa += "\n• ต้อนรับคนเข้ากลุ่ม2 ( เปิด )"
else:sa += "\n• ต้อนรับคนเข้ากลุ่ม2 ( ปิด )"
if settings["wcsti2"] == True: sa += "\n• ติ๊กคนเข้ากลุ่ม ( เปิด )"
else:sa += "\n• ติ๊กคนเข้ากลุ่ม ( ปิด )"
if settings["Leave"] == True: sa += "\n• คนออกกลุ่ม ( เปิด )"
else:sa += "\n• คนออกกลุ่ม ( ปิด )"
if settings["lv"] == True: sa += "\n• ติ๊กคนออกกลุ่ม ( เปิด )"
else:sa += "\n• ติ๊กคนออกกลุ่ม ( ปิด )"
if settings["unsendMessage"] == True: sa += "\n• ตรวจจับยกเลิก ( เปิด )"
else:sa += "\n• ตรวจจับยกเลิก ( ปิด )"
if settings["Sticker"] == True: sa += "\n• เชคติ๊กใหญ่ ( เปิด )"
else:sa += "\n• เชคติ๊กใหญ่ ( ปิด )"
if sets["Sticker"] == True: sa += "\n• เชคโค๊ดสติ๊กเกอร์ ( เปิด )"
else:sa += "\n• เชคโค๊ดสติ๊กเกอร์ ( ปิด )"
data = {
"type": "flex",
"altText": "{}".format(sas),
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"hero": {
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(sender).pictureStatus),
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "text",
"text": sas,
"color": "#00F5FF",
"align": "center",
"weight": "bold",
"size": "xxl"
},
{
"type": "text",
"text": "{}".format(sa),
"wrap": True,
"color": "#00F5FF",
"gravity": "center",
"size": "md"
},
]
},
}
}
sendTemplate(to, data)
elif text.lower() == 'clearban' or text.lower() == "ล้างดำ":
apalo["Talkblacklist"] = []
duc1(to, "🌟สำเร็จ🌟")
elif text.lower() == "คนดำ":
if msg._from in maxgieMID:
if apalo["Talkblacklist"] == []:
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ไม่มีคน.คนติดดำ🌟")
else:
for bl in apalo["Talkblacklist"]:
maxgie.sendMessage(to, text=None, contentMetadata={'mid': bl}, contentType=13)
elif text.lower() == "เตะดำ":
if msg.toType == 2:
groupMemberMids = [contact.mid for contact in maxgie.getGroup(to).members]
matched_list = []
for mid in apalo["Talkblacklist"]:
matched_list += [x for x in groupMemberMids if x == mid]
if matched_list == []:
duc1(to, "ไม่มีคนติดดำในนี้")
else:
for mids in matched_list:
try:
maxgie.kickoutFromGroup(to, [mids])
except:pass
elif "Kick " in msg.text:
Ri0 = text.replace("kick ","")
Ri1 = Ri0.rstrip()
Ri2 = Ri1.replace("@","")
Ri3 = Ri2.rstrip()
_name = Ri3
gs = maxgie.getGroup(msg.to)
targets = []
for s in gs.members:
if _name in s.displayName:
targets.append(s.mid)
if targets == []:
pass
else:
for target in targets:
if target in admin:
pass
else:
try:
maxgie.kickoutFromGroup(to,[target])
except:
pass
elif "ล้อเล่น " in msg.text:
Ri0 = text.replace("ล้อเล่น ","")
Ri1 = Ri0.rstrip()
Ri2 = Ri1.replace("@","")
Ri3 = Ri2.rstrip()
_name = Ri3
gs = maxgie.getGroup(msg.to)
targets = []
for s in gs.members:
if _name in s.displayName:
targets.append(s.mid)
if targets == []:
pass
else:
for target in targets:
if target in admin:
pass
else:
try:
maxgie.kickoutFromGroup(to,[target])
maxgie.findAndAddContactsByMid(target)
maxgie.inviteIntoGroup(to,[target])
except:
pass
elif "เตะ " in msg.text:
vkick0 = msg.text.replace("เตะ ","")
vkick1 = vkick0.rstrip()
vkick2 = vkick1.replace("@","")
vkick3 = vkick2.rstrip()
_name = vkick3
gs = maxgie.getGroup(msg.to)
targets = []
for s in gs.members:
if _name in s.displayName:
targets.append(s.mid)
if targets == []:
pass
else:
for target in targets:
try:
maxgie.kickoutFromGroup(msg.to,[target])
maxgie.findAndAddContactsByMid(target)
maxgie.inviteIntoGroup(msg.to,[target])
maxgie.cancelGroupInvitation(msg.to,[target])
except:
pass
elif msg.text.lower().startswith("สีme "):
text_ = removeCmd("สีme", text)
try:
temp["t"] = text_
maxgie.sendMessage(to,"「 โค๊ดสี 」\nคือ : " + text_)
except:
maxgie.sendMessage(to,"สำเเร็จแล้ว")
elif msg.text.lower().startswith("สีอักษร "):
text_ = removeCmd("สีอักษร", text)
try:
temp["te"] = text_
maxgie.sendMessage(to,"「 โค๊ดสี 」\nคือ : " + text_)
except:
maxgie.sendMessage(to,"สำเเร็จแล้ว")
elif msg.text.lower() == "รหัสสี":
c="https://i.pinimg.com/originals/d0/9c/8a/d09c8ad110eb44532825df454085a376.jpg"
p="https://i.pinimg.com/originals/7c/d3/aa/7cd3aa57150f8f6f18711ff22c9f6d4a.jpg"
m="**ตัวอย่างที่1**\nคำสั่งเปลี่ยนสี me\nพิม'ตั้งสีme #333333'\n**ตัวอย่างที่2**\nคำสั่งเปลี่ยนสี tag\nพิม'ตั้งสีแทค #333333'"
maxgie.sendImageWithURL(to,c)
maxgie.sendImageWithURL(to,p)
maxgie.sendMessage(to,m)
elif msg.text.lower().startswith("ตั้งบล็อค "):
text_ = removeCmd("ตั้งบล็อค", text)
try:
tagadd["b"] = text_
maxgie.sendMessage(to,"「 ตั้งบล็อคอัตโนมัติ 」\nคือ : " + text_)
except:
maxgie.unsendMessage(msg_id)
duc1(to, "🌟สำเร็จแล้ววว🌟")
elif text.lower().startswith("ตั้งค้างเชิญ "):
text_ = removeCmd("ตั้งค้างเชิญ", text)
try:
settings["autoCancel"]["members"] = text_
maxgie.sendMessage(to,"「 ตั้งยกค้างเชิญ 」\nจำนวน : " + text_)
except:
maxgie.unsendMessage(msg_id)
duc1(to, "🌟สำเร็จแล้ววว🌟")
if text.lower() == "ดำ":
if msg._from in admin:
apalo["Talkwblacklist"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งคทลงมา...🌟")
if text.lower() == "ขาว":
if msg._from in admin:
apalo["Talkdblacklist"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งคทลงมา...🌟")
elif msg.text.lower().startswith("ตั้งแทค "):
text_ = removeCmd("ตั้งแทค", text)
try:
tagadd["tag"] = text_
sa = "「 ตั้งคำแทค 」\nคือ : " + text_
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
except:
maxgie.sendMessage(to,"Done. >_<")
elif msg.text.lower().startswith("ตั้งแทคแชท "):
text_ = removeCmd("ตั้งแทคแชท", text)
try:
settings["reply"] = text_
sa = "「 ตั้งคำแทค 」\nคือ : " + text_
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
except:
maxgie.sendMessage(to,"Done. >_<")
elif msg.text.lower().startswith("ตั้งต้อนรับ "):
text_ = removeCmd("ตั้งต้อนรับ", text)
try:
tagadd["wctext"] = text_
sa = "「 ตั้งต้อนรับ 」\nคือ : " + text_
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": " ★ʄທയஆടஷະ★", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
except:
maxgie.sendMessags(to,"Done. >_<")
elif msg.text.lower().startswith("ตั้งคนออก "):
text_ = removeCmd("ตั้งคนออก", text)
try:
tagadd["lv"] = text_
maxgie.sendMessage(to,"「 ตั้งคนออก 」\nคือ : " + text_)
except:
maxgie.sendMessage(to,"สำเเร็จแล้ว")
elif msg.text.lower().startswith("ตั้งแอด "):
text_ = removeCmd("ตั้งแอด", text)
try:
tagadd["add"] = text_
sa = "「 ตั้งแอด 」\nคือ : " + text_
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
except:
maxgie.sendMessags(to,"Done. >_<")
elif msg.text.lower().startswith("ตั้งคอมเม้น "):
text_ = removeCmd("ตั้งคอมเม้น", text)
try:
settings["commet"] = text_
sa = "「 ตั้งคอมเม้น 」\nคือ : " + text_
data = {"type": "text","text": "{}".format(sa),"sentBy": {"label": "★ʄທയஆടஷະ★ ", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
except:
maxgie.sendMessags(to,"Done. >_<")
elif msg.text.lower() == "ทัก":
if msg.toType == 0:
sendMention(to, to, "────────────────\n", "\n────────────────")
elif msg.toType == 2:
group = maxgie.getGroup(to)
contact = [mem.mid for mem in group.members]
mentionMembers(to, contact)
if text.lower() == "เชค":
add = tagadd["add"]
tag = tagadd["tag"]
like = settings["commet"]
wc = tagadd["wctext"]
lv = tagadd["lv"]
c = settings["autoCancel"]["members"]
b = tagadd["b"]
Re = settings["reply"]
maxgie.generateReplyMessage(msg.id)
maxgie.sendMessags(id, to, "ข้อความแอด :\n"+str(add)+"\n\nข้อความแทค :\n"+str(tag)+"\n\nข้อความเม้น :\n"+str(like)+"\n\nข้อความต้อนรับ :\n"+str(wc)+"\n\nข้อความคนออก :\n"+str(lv)+"\n\nจำนวนค้างเชิญ :\n"+str(c)+" จำนวน\n\nข้อความบล็อค :\n"+str(b)+"\n\nข้อความแทคแชท :\n"+str(Re))
if text.lower() == "/คำสั่ง" or text.lower() == "/help":
sas = "😀 Help Message 😀\n"
sa = "• คท\n"
sa += "• ไอดีเรา\n"
sa += "• ชื่อเรา\n"
sa += "• ตัสเรา\n"
sa += "• รูปเรา\n"
sa += "• รูปวีดีโอเรา\n"
sa += "• ปกเรา\n"
sa += "──────────────\n"
sa += "• ข้อมูล\n"
sa += "• ออน\n"
sa += "• รีบอท\n"
sa += "• แทค\n"
sa += "• ยกเชิญ\n"
sa += "• /ลบรัน\n"
sa += "• ก็อป @user\n"
sa += "• กลับร่าง\n"
sa += "──────────────\n"
sa += "• สะกดกิต [พิม'สะกดกิต'เพื่อดูวิธี]\n"
sa += "• ตั้งapi [พิมเพื่อดูวิธี]\n"
sa += "• ล้างapi [คำที่จะลบ]\n"
sa += "• เชคapi\n"
sa += "• stag [พิม'stag'เพื่อดูวิธี]\n"
sa += "• แปรงคท [MID]\n"
sa += "• ยูทูป [ข้อความ]\n"
sa += "• image [text(ภาษาอังกฤษ)]\n"
sa += "• รูป [ข้อความ(ภาษาไทย)]\n"
sa += "• เพลสโต [ชื่อแอพ]\n"
sa += "• ตั้งรูปโปรไฟล์ [ลิ้งยูทูป]\n"
sa += "• ประกาศ [พิม'ประกาศ'เพื่อดูวิธี]\n"
sa += "• ยก [ใส่จำนวนที่จะยกเลิก]\n"
sa += "──────────────\n"
sa += "• ดำ ส่งคท.\n"
sa += "• ขาว ส่งคท.\n"
sa += "• ดำ @user\n"
sa += "• ล้าง @user\n"
sa += "• เชคดำ\n"
sa += "• คทดำ\n"
sa += "• ล้างดำ\n"
sa += "──────────────\n"
sa += "• ตั้งต้อนรับ [ข้อความ]\n"
sa += "• ตั้งคนออก [ข้อความ]\n"
sa += "• ตั้งแอด [ข้อความ]\n"
sa += "• ตั้งแทค [ข้อความ]\n"
sa += "• ตั้งคอมเม้น [ข้อความ]\n"
sa += "──────────────\n"
sa += "• เปิดแทค/ปิดแทค\n"
sa += "• เปิดแทค2/ปิดแทค2\n"
sa += "• เปิดแทค3/ปิดแทค3\n"
sa += "• เปิดไลค์/ปิดไลค์\n"
sa += "• เปิดคอมเม้น/ปิดคอมเม้น\n"
sa += "• เปิดบล็อค/ปิดบล็อค\n"
sa += "• เปิดแอด/ปิดแอด\n"
sa += "• เปิดกันรัน/ปิดกันรัน\n"
sa += "• เปิดต้อนรับ/ปิดต้อนรับ\n"
sa += "• เปิดต้อนรับ2/ปิดต้อนรับ2\n"
sa += "• เปิดคนออก/ปิดคนออก\n"
sa += "• เปิดยกเลิก/ปิดยกเลิก\n"
sa += "• เปิดโค๊ดติ๊ก/ปิดโค๊ดติ๊ก\n"
sa += "• เปิดติ๊กใหญ่/ปิดติ๊กใหญ่"
helps = "{}".format(str(sa))
data = {
"type": "flex",
"altText": "{}".format(sas),
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type":"text",
"text": sas,
"size":"xl",
"weight":"bold",
"color":"#00F5FF",
"align":"center"
},
{
"type":"text",
"text": " "
},
{
"type": "text",
"text": "{}".format(sa),
"wrap": True,
"color": "#000000",
"gravity": "center",
"size": "md"
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#",
"action": {
"type":"uri",
"label":"ผู้สร้าง",
"uri":"line://ti/p/~nonbysignal"
},
},
]
}
}
}
sendTemplate(to, data)
if text.lower() == "!help" or text.lower() == "!คำสั่ง":
s = "#FF00FF"
sa = "•👊 me\n"
sa += "•👊 /me\n"
sa += "•👊 คท\n"
sa += "•👊 ไอดีเรา\n"
sa += "•👊 ชื่อเรา\n"
sa += "•👊 ตัสเรา\n"
sa += "•👊 รูปเรา\n"
sa += "•👊 รูปวีดีโอเรา\n"
sa += "•👊 ปกเรา\n"
sa += "•👊 ข้อมูล\n"
sa += "•👊 รีบอท\n"
sa += "•👊 ออน\n"
sa += "•👊 /ลบรัน\n"
sa += "•👊 เชค\n"
ss = "•👊 แทค\n"
sa += "•👊 ยกเชิญ"
ss += "•👊 ก็อป @user\n"
ss += "•👊 กลับร่าง\n"
ss += "•👊 ตั้งapi [พิมเพื่อดูวิธี]\n"
ss += "•👊 ล้างapi [คำที่จะลบ]\n"
ss += "•👊 เชคapi\n"
ss += "•👊 stag [พิม'stag'เพื่อดูวิธี]\n"
ss += "•👊 แปรงคท [MID]\n"
ss += "•👊 ยูทูป [ข้อความ]\n"
ss += "•👊 image [text(ภาษาอังกฤษ)]\n"
ss += "•👊 รูป [ข้อความ(ภาษาไทย)]\n"
ss += "•👊 เพลสโต [ชื่อแอพ]\n"
ss += "•👊 ตั้งรูปโปรไฟล์ [ลิ้งยูทูป]\n"
ss += "•👊 ประกาศ [พิม'ประกาศ'เพื่อดูวิธี]\n"
ss += "•👊 ยก [ใส่จำนวนที่จะยกเลิก]"
sd = "•👊 ดำ ส่งคท.\n"
sd += "•👊 ขาว ส่งคท.\n"
sd += "•👊 ดำ @user\n"
sd += "•👊 ล้าง @user\n"
sd += "•👊 เชคดำ\n"
sd += "•👊 คทดำ\n"
sd += "•👊 ล้างดำ\n"
sd += "•👊 ตั้งต้อนรับ [ข้อความ]\n"
sd += "•👊 ตั้งคนออก [ข้อความ]\n"
sd += "•👊 ตั้งแอด [ข้อความ]\n"
sd += "•👊 ตั้งแทค [ข้อความ]\n"
sd += "•👊 ตั้งคอมเม้น [ข้อความ]\n"
sd += "•👊 ตั้งค้างเชิญ [จำนวน]\n"
sd += "•👊 ตั้งมุดลิ้ง [ข้อความ]\n"
sd += "•👊 ตั้งคนบล็อค [ข้อความ]"
se = "•👊 เปิดแทค/ปิดแทค\n"
se += "•👊 เปิดแทค2/ปิดแทค2\n"
se += "•👊 เปิดแทค3/ปิดแทค3\n"
se += "•👊 เปิดไลค์/ปิดไลค์\n"
se += "•👊 เปิดคอมเม้น/ปิดคอมเม้น\n"
se += "•👊 เปิดบล็อค/ปิดบล็อค\n"
se += "•👊 เปิดแอด/ปิดแอด\n"
se += "•👊 เปิดกันรัน/ปิดกันรัน\n"
se += "•👊 เปิดต้อนรับ/ปิดต้อนรับ\n"
se += "•👊 เปิดต้อนรับ2/ปิดต้อนรับ2\n"
se += "•👊 เปิดคนออก/ปิดคนออก\n"
se += "•👊 เปิดยกเลิก/ปิดยกเลิก\n"
se += "•👊 เปิดติ๊กคนเข้า/ปิดติ๊กคนเข้า\n"
se += "•👊 เปิดติ๊กคนออก/ปิดติ๊กคนออก\n"
se += "•👊 เปิดติ๊กใหญ่/ปิดติ๊กใหญ่"
sti = "•👊 เปิดมุดลิ้ง/ปิดมุดลิ้ง\n"
sti += "•👊 ตั้งติ๊กคนแอด\n"
sti += "•👊 ลบติ๊กคนแอด\n"
# sti += "• ตั้งติ๊กแทคแชท\n"
# sti += "• ลบติ๊กแทคแชท\n"
sti += "•👊 ตั้งติ๊กคนแทค\n"
sti += "•👊 ลบติ๊กคนแทค\n"
sti += "•👊 ตั้งติ๊กคนเข้า\n"
sti += "•👊 ลบติ๊กคนเข้า\n"
sti += "•👊 ตั้งติ๊กคนออก\n"
sti += "•👊 ลบติ๊กคนออก\n"
sti += "•👊 เขียน1 [ข้อความ]\n"
sti += "•👊 ไอดีไลน์ [idline]\n"
sti += "•👊 ดึง @user\n"
sti += "•👊 บล็อค @user\n"
sti += "•👊 เพิ่มเพื่อน @user\n"
sti += "•👊 ลบเพื่อน @user\n"
dataProfile = [
{
"type": "bubble",
"styles": {
"header": {"backgroundColor":"#FFFFFF"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "HELP 1",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": sa,
"color": s,
"wrap": True,
"gravity": "center",
# "size": "md"
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#353535",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★ ",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "FFFFFF"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "HELP 2",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": ss,
"color": s,
"wrap": True,
"gravity": "center",
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#353535",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#FFFFFF"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "HELP 3",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": sd,
"color": s,
"wrap": True,
"gravity": "center",
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#353535",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#FFFFFF"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "HELP 4",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
# {
# "type": "text",
# "text": " "
# },
# {
# "type": "text",
# "text": " "
# },
{
"type": "text",
"text": se,
"color": s,
# "size": "lg",
"wrap": True,
"gravity": "center",
},
#{
# "type": "text",
# "text": " "
# },
# {
# "type": "text",
# "text": " "
# },
{
"type": "text",
"text": " "
},
# {
# "type": "text",
# "text": "สนใจบอท ติดต่อได้ที่ปุ่มเลยค้ะ >_<",
# "color": "#B5B5B5",
# "size": "xs"
# },
{
"type":"button",
"style":"primary",
"color":"#353535",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★ ",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#FFFFFF"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "HELP 5",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": sti,
"color": s,
"wrap": True,
"gravity": "center",
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#353535",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★ ",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
]
data = {
"type": "flex",
"altText": "Help Message",
"contents": {
"type": "carousel",
"contents": dataProfile
}
}
sendTemplate(to, data)
#=====================================================================
if text.lower() == "help" or text.lower() == "คำสั่ง":
s = "#FFFFFF"
sa = "•✨ me\n"
sa += "•✨ /me\n"
sa += "•✨ คท\n"
sa += "•✨ ไอดีเรา\n"
sa += "•✨ ชื่อเรา\n"
sa += "•✨ ตัสเรา\n"
sa += "•✨ รูปเรา\n"
sa += "•✨ รูปวีดีโอเรา\n"
sa += "•✨ ปกเรา\n"
sa += "•✨ ข้อมูล\n"
sa += "•✨ รีบอท\n"
sa += "•✨ ออน\n"
sa += "•✨ /ลบรัน\n"
sa += "•✨ เชค\n"
ss = "•✨ แทค\n"
sa += "•✨ ยกเชิญ"
ss += "•✨ ก็อป @user\n"
ss += "•✨ กลับร่าง\n"
ss += "•✨ ตั้งapi [พิมเพื่อดูวิธี]\n"
ss += "•✨ ล้างapi [คำที่จะลบ]\n"
ss += "•✨ เชคapi\n"
ss += "•✨ stag [พิม'stag'เพื่อดูวิธี]\n"
ss += "•✨ แปรงคท [MID]\n"
ss += "•✨ยูทูป [ข้อความ]\n"
ss += "•✨ image [text(ภาษาอังกฤษ)]\n"
ss += "•✨ รูป [ข้อความ(ภาษาไทย)]\n"
ss += "•✨ เพลสโต [ชื่อแอพ]\n"
ss += "•✨ ตั้งรูปโปรไฟล์ [ลิ้งยูทูป]\n"
ss += "•✨ ประกาศ [พิม'ประกาศ'เพื่อดูวิธี]\n"
ss += "•✨ ยก [ใส่จำนวนที่จะยกเลิก]"
sd = "•✨ ดำ ส่งคท.\n"
sd += "•✨ ขาว ส่งคท.\n"
sd += "•✨ ดำ @user\n"
sd += "•✨ ล้าง @user\n"
sd += "•✨ เชคดำ\n"
sd += "•✨ คทดำ\n"
sd += "•✨ ล้างดำ\n"
sd += "•✨ ตั้งต้อนรับ [ข้อความ]\n"
sd += "•✨ ตั้งคนออก [ข้อความ]\n"
sd += "•✨ ตั้งแอด [ข้อความ]\n"
sd += "•✨ ตั้งแทค [ข้อความ]\n"
sd += "•✨ ตั้งคอมเม้น [ข้อความ]\n"
sd += "•✨ ตั้งค้างเชิญ [จำนวน]\n"
sd += "•✨ ตั้งมุดลิ้ง [ข้อความ]\n"
sd += "•✨ ตั้งคนบล็อค [ข้อความ]"
se = "•✨ เปิดแทค/ปิดแทค\n"
se += "•✨ เปิดแทค2/ปิดแทค2\n"
se += "•✨ เปิดแทค3/ปิดแทค3\n"
se += "•✨ เปิดไลค์/ปิดไลค์\n"
se += "•✨ เปิดคอมเม้น/ปิดคอมเม้น\n"
se += "•✨ เปิดบล็อค/ปิดบล็อค\n"
se += "•✨ เปิดแอด/ปิดแอด\n"
se += "•✨ เปิดกันรัน/ปิดกันรัน\n"
se += "•✨ เปิดต้อนรับ/ปิดต้อนรับ\n"
se += "•✨ เปิดต้อนรับ2/ปิดต้อนรับ2\n"
se += "•✨ เปิดคนออก/ปิดคนออก\n"
se += "•✨ เปิดยกเลิก/ปิดยกเลิก\n"
se += "•✨ เปิดติ๊กคนเข้า/ปิดติ๊กคนเข้า\n"
se += "•✨ เปิดติ๊กคนออก/ปิดติ๊กคนออก\n"
se += "•✨ เปิดติ๊กใหญ่/ปิดติ๊กใหญ่"
sti = "•✨ เปิดมุดลิ้ง/ปิดมุดลิ้ง\n"
sti += "•✨ ตั้งติ๊กคนแอด\n"
sti += "•✨ ลบติ๊กคนแอด\n"
# sti += "• ตั้งติ๊กแทคแชท\n"
# sti += "• ลบติ๊กแทคแชท\n"
sti += "•✨ ตั้งติ๊กคนแทค\n"
sti += "•✨ ลบติ๊กคนแทค\n"
sti += "•✨ ตั้งติ๊กคนเข้า\n"
sti += "•✨ ลบติ๊กคนเข้า\n"
sti += "•✨ ตั้งติ๊กคนออก\n"
sti += "•✨ ลบติ๊กคนออก\n"
sti += "•✨ เขียน1 [ข้อความ]\n"
sti += "•✨ ไอดีไลน์ [idline]\n"
sti += "•✨ ดึง @user\n"
sti += "•✨ บล็อค @user\n"
sti += "•✨ เพิ่มเพื่อน @user\n"
sti += "•✨ ลบเพื่อน @user\n"
dataProfile = [
{
"type": "bubble",
"styles": {
"header": {"backgroundColor":"#EE1289"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "• คำสั่งส่วนตัว •",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": sa,
"color": s,
"wrap": True,
"gravity": "center",
# "size": "md"
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#00F5FF",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★ ",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#EE1289"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "• คำสั่งพิเศษ •",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": ss,
"color": s,
"wrap": True,
"gravity": "center",
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#00F5FF",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#EE1289"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "• คำสั่งเปิด/ปิด •",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": sd,
"color": s,
"wrap": True,
"gravity": "center",
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#00F5FF",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#EE1289"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "• คำสั่งตั้งค่า/ติดดำ •",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
# {
# "type": "text",
# "text": " "
# },
# {
# "type": "text",
# "text": " "
# },
{
"type": "text",
"text": se,
"color": s,
# "size": "lg",
"wrap": True,
"gravity": "center",
},
#{
# "type": "text",
# "text": " "
# },
# {
# "type": "text",
# "text": " "
# },
{
"type": "text",
"text": " "
},
# {
# "type": "text",
# "text": "สนใจบอท ติดต่อได้ที่ปุ่มเลยค้ะ >_<",
# "color": "#B5B5B5",
# "size": "xs"
# },
{
"type":"button",
"style":"primary",
"color":"#00F5FF",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★ ",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#EE1289"},
"hero": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": "#000000"}, #"separator": True, "separatorColor": "#333333"}
},
"header": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"size": "full"
},
{
"type": "text",
"text": "• คำสั่งทั่วไป •",
"size": "xxl",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": " "
},
{
"type": "text",
"text": sti,
"color": s,
"wrap": True,
"gravity": "center",
},
{
"type": "text",
"text": " "
},
{
"type":"button",
"style":"primary",
"color":"#00F5FF",
"action":{
"type":"uri",
"label":"★ʄທയஆടஷະ★ ",
"uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
},
},
]
},
},
]
data = {
"type": "flex",
"altText": "Help Message",
"contents": {
"type": "carousel",
"contents": dataProfile
}
}
sendTemplate(to, data)
#=====================================================================
elif msg.text.lower().startswith("ก็อป "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
clone = ast.literal_eval(msg.contentMetadata['MENTION'])
clones = clone['MENTIONEES']
target = []
for clone in clones:
if clone["M"] not in target:
target.append(clone["M"])
for she in target:
BackupProfile = maxgie.getContact(sender)
Save1 = "http://dl.profile.line-cdn.net/{}".format(BackupProfile.pictureStatus);Save2 = "{}".format(BackupProfile.displayName);ProfileMe["PictureMe"] = Save1;ProfileMe["NameMe"] = Save2
contact = maxgie.getContact(she);ClonerV2(she)
sendMention(to, contact.mid, "=͟͟͞͞➳ คุณกำลังก็อปปี้", "สำเร็จแล้ว >_<");maxgie.sendContact(to, str(BackupProfile.mid));maxgie.sendContact(to, str(contact.mid))
elif text.lower() == "กลับร่าง":
try:
maxgiestatus = maxgie.getProfile()
maxgieName = maxgie.getProfile()
maxgieName.statusMessage = ProfileMe["statusMessage"]
maxgieName.pictureStatus = str(ProfileMe["pictureStatus"])
maxgie.updateProfile(maxgiestatus)
maxgieName.displayName = ProfileMe["NameMe"]
maxgie.updateProfile(maxgieName)
path = maxgie.downloadFileURL(ProfileMe["PictureMe"])
maxgie.updateProfilePicture(path)
coverId = ProfileMe["coverId"]
maxgie.updateProfileCoverById(coverId)
BackupProfile = maxgie.getContact(sender)
sendMention(to, BackupProfile.mid, "=͟͟͞͞➳ กลับบัญชีเดิมเรียบร้อย", ">_<");maxgie.sendContact(to, str(BackupProfile.mid))
except Exception as error:
maxgie.unsendMessage(msg_id)
duc1(to, "🌟คุณยังไม่ได้ก๊อปปี้🌟")
elif msg.text.lower().startswith("."):
text = msg.text.lower().replace("."," ")
maxgie.unsendMessage(msg_id)
duc1(msg.to,text)
if text.lower() == "คท":
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyMessage(msg.id, to, None, contentMetadata={'mid': maxgieMID}, contentType=13)
if text.lower() == "mid" or text.lower() == "ไอดีเรา":
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyMessage(msg.id, to,maxgieMID)
elif text.lower() == "myname" or text.lower() == "ชื่อเรา":
h = maxgie.getContact(maxgieMID)
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyMessage(msg.id, to, "「 ชื่อของคุณ 」\n"+str(h.displayName))
elif text.lower() == "mybio" or text.lower() == "ตัสเรา":
h = maxgie.getContact(maxgieMID)
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyMessage(msg.id, to, "「 ตัสของคุณ 」\n"+str(h.statusMessage))
elif text.lower() == "mypicture" or text.lower() == "รูปเรา":
h = maxgie.getContact(maxgieMID)
image = "http://dl.profile.line-cdn.net/" + h.pictureStatus
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyImageWithURL(msg.id, to, image)
elif text.lower() == "myvideo" or text.lower() == "รูปวีดีโอเรา":
h = maxgie.getContact(maxgieMID)
if h.videoProfile == None:
return maxgie.sendMessage(to, "คุณไม่ได้ใส่รูปวีดีโอ >_<")
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyVideoWithURL(msg.id, to,"http://dl.profile.line-cdn.net/" + h.pictureStatus + "/vp")
elif text.lower() == "mycover" or text.lower() == "ปกเรา":
h = maxgie.getContact(maxgieMID)
cu = maxgie.getProfileCoverURL(maxgieMID)
image = str(cu)
maxgie.generateReplyMessage(msg.id)
maxgie.sendReplyImageWithURL(msg.id, to, image)
elif msg.text in ["ดึง"]:
apalo["winvite"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งคทที่จะดึงลงมา..🌟")
elif "อัพชื่อ " in text.lower():
if msg._from in admin:
proses = text.split(" ")
string = text.replace(proses[0] + " ","")
profile_A = maxgie.getProfile()
profile_A.displayName = string
maxgie.updateProfile(profile_A)
maxgie.sendMessage(msg.to,"Update to :\n" + string)
print ("Update Name")
elif "อัพตัส " in msg.text.lower():
if msg._from in admin:
proses = text.split(" ")
string = text.replace(proses[0] + " ","")
profile_A = maxgie.getProfile()
profile_A.statusMessage = string
maxgie.updateProfile(profile_A)
maxgie.sendMessage(msg.to,"Succes Update :\n" + string)
print ("Update Bio Succes")
elif text.lower() == "อัพดิส":
sets["changePictureProfile"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งรูปที่จะอัพลงมาครับ..🌟")
elif text.lower() == 'เปิดออก':
did["join"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ออกแชทรวมอัตโนมัติ (เปิด) ใช้งาน🌟")
elif text.lower() == 'ปิดออก':
did["join"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ออกแชทรวมอัตโนมัติ (ปิด) ใช้งาน🌟")
if text.lower() == "ออน1":
cover = maxgie.getProfileCoverURL(maxgie.profile.mid)
pp = maxgie.getProfile().pictureStatus
profile = "https://profile.line-scdn.net/" + str(pp)
name = maxgie.getProfile().displayName
status = maxgie.getProfile().statusMessage
tz = pytz.timezone("Asia/Jakarta")
timeNow = datetime.now(tz=tz)
eltime = time.time() - mulai
van = ggggg(eltime)
van2 = "\n\nวันที่ :"+ datetime.strftime(timeNow,'%d-%m-%Y')+"\n───────────\nเวลา:"+ datetime.strftime(timeNow,'%H:%M:%S')+"\n\n"
data={
"type":"flex",
"altText":"Weclome",
"contents":{
"type": "carousel",
"contents": [
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#EE1289", "separator": True, "separatorColor": "#EE1289"},
"body": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#000000"},
"footer": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#000000"}
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "runtime",
"align": "center",
"size": "lg",
"weight": "bold",
"color": "#00F5FF",
"wrap": True
}
]
},
"type": "bubble",
"body": {
"contents": [
{
"contents": [
{
"url": profile,
"type": "image"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"url": profile,
"type": "image"
}
],
"type": "box",
"spacing": "md",
"layout": "horizontal"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"contents": [
{
"text": "ระยะเวลาของบอท",
"size": "md",
"align": "center",
"color": "#00F5FF",
"wrap": True,
"weight": "bold",
"type": "text"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"contents": [
{
"contents": [
{
"type": "text",
"text": van,
"align": "center",
"size": "xs",
"weight": "bold",
"color": "#00F5FF",
"wrap": True
}
],
"type": "box",
"layout": "baseline"
},
{
"contents": [
{
"url": profile,
"type": "icon",
"size": "md"
},
{
"text": " is bot line ★ʄທയஆടஷະ★ ",
"size": "xs",
"margin": "none",
"color": "#00F5FF",
"wrap": True,
"weight": "regular",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "vertical"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
"footer": {
"type": "box",
"layout": "horizontal",
"spacing": "sm",
"contents": [
{
"type": "button",
"flex": 2,
"style": "primary",
"color": "#00F5FF",
"height": "sm",
"action": {
"type": "uri",
"label": "ติดต่อเชล",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
}
},
{
"flex": 3,
"type": "button",
"style": "primary",
"color": "#00F5FF",
"margin": "sm",
"height": "sm",
"action": {
"type": "uri",
"label": "ติดต่อผู้สร้าง",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
}
}
]
}
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#EE1289", "separator": True, "separatorColor": "#EE1289"},
"body": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#000000"},
"footer": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#000000"}
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "ปฏิทิน ",
"align": "center",
"size": "lg",
"weight": "bold",
"color": "#00F5FF",
"wrap": True
}
]
},
"type": "bubble",
"body": {
"contents": [
{
"contents": [
{
"url": profile,
"type": "image"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"url": profile,
"type": "image"
}
],
"type": "box",
"spacing": "md",
"layout": "horizontal"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"contents": [
{
"text": "วันเดือนปีและเวลา",
"size": "md",
"align": "center",
"color": "#00F5FF",
"wrap": True,
"weight": "bold",
"type": "text"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"contents": [
{
"contents": [
{
"type": "text",
"text": van2,
"align": "center",
"size": "xs",
"weight": "bold",
"color": "#00F5FF",
"wrap": True
}
],
"type": "box",
"layout": "baseline"
},
{
"contents": [
{
"url": profile,
"type": "icon",
"size": "md"
},
{
"text": " is bot line ★ʄທയஆടஷະ★ ",
"size": "xs",
"margin": "none",
"color": "#00F5FF",
"wrap": True,
"weight": "regular",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "vertical"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
"footer": {
"type": "box",
"layout": "horizontal",
"spacing": "sm",
"contents": [
{
"type": "button",
"flex": 2,
"style": "primary",
"color": "#00F5FF",
"height": "sm",
"action": {
"type": "uri",
"label": "ติดต่อเชล",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
}
},
{
"flex": 3,
"type": "button",
"style": "primary",
"color": "#00F5FF",
"margin": "sm",
"height": "sm",
"action": {
"type": "uri",
"label": "ติดต่อผู้สร้าง",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
}
}
]
}
}
]
}
}
sendTemplate(to, data)
if text.lower() == "ออน2" or text.lower() == "runtime":
contact = maxgie.getContact(sender)
timeNow = time.time() - Start
runtime = timeChange(timeNow)
tz = pytz.timezone("Asia/Jakarta")
timeNow = datetime.now(tz=tz)
a = "วันที่"+ datetime.strftime(timeNow,'%d-%m-%Y')+"🇹🇭เวลา"+ datetime.strftime(timeNow,'%H:%M:%S')+"\n"
run = "「 เวลาออน 」\n"
run += runtime
data = {
"type": "flex",
"altText": "{}".format(run),
"contents": {
"styles": {
"body": {
"backgroundColor": "#EE1289"
},
"footer": {
"backgroundColor": "#EE1289"
}
},
"type": "bubble",
"body": {
"contents": [
{
"contents": [
{
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"type": "image"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"type": "image"
}
],
"type": "box",
"spacing": "md",
"layout": "horizontal"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"contents": [
{
"text": "ระยะเวลาทำงาน",
"size": "lg",
"align": "center",
"color": "#00F5FF",
"wrap": True,
"weight": "bold",
"type": "text"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
{
"type": "separator",
"color": "#00F5FF"
},
{
"contents": [
{
"contents": [
{
"text": "{}".format(run),
"size": "lg",
"align": "center",
"margin": "none",
"color": "#00F5FF",
"wrap": True,
"weight": "regular",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
},
],
"type": "box",
"layout": "vertical"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
"footer": {
"contents": [
{
"contents": [
{
"contents": [
{
"text": "★ʄທയஆടஷະ★ ",
"size": "xl",
"action": {
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
"type": "uri",
"label": "Add Maker"
},
"margin": "xl",
"align": "center",
"color": "#00F5FF",
"weight": "bold",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "horizontal"
}
],
"type": "box",
"layout": "vertical"
}
}
}
sendTemplate(to, data)
if text.lower() == "me":
cover = maxgie.getProfileCoverURL(maxgie.profile.mid)
pp = maxgie.getProfile().pictureStatus
profile = "https://profile.line-scdn.net/" + str(pp)
name = maxgie.getProfile().displayName
status = maxgie.getProfile().statusMessage
s = temp["te"]
a = temp["t"]
data={"type":"flex","altText":"{} sendFlex".format(name),"contents":{"type":"bubble",'styles': {"body":{"backgroundColor":a}},"hero":{"type":"image","url":cover,"size":"full","aspectRatio":"20:13","aspectMode":"cover"},"body":{"type":"box","layout":"vertical","contents":[{"type":"text","text":" "},{"type":"image","url":profile,"size":"lg"},{"type":"text","text":" "},{"type":"text","text":name,"size":"xl","weight":"bold","color":s,"align":"center"},{"type":"text","text":" "},{"type":"text","text":status,"align":"center","size":"xs","color":s,"wrap":True},{"type":"text","text":" "},{"type":"button","style":"primary","color":"#EE1289","action":{"type":"uri","label":"★ʄທയஆടஷະ★ ","uri":"https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif"}}]}}}
sendTemplate(to, data)
elif text.lower() == "me2":
s = temp["te"]
a = temp["t"]
contact = maxgie.getContact(maxgieMID)
cover = maxgie.getProfileCoverURL(maxgieMID)
dataProfile = [
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": a},
"body": {"backgroundColor": a},# "separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": a, "separator": True, "separatorColor": s}
},
"hero": {
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(contact.pictureStatus),
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"body": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "{}".format(contact.displayName),
"align": "center",
"weight": "bold",
"color": s,
"size": "lg",
'flex': 1
},
{
"type": "text",
"text": " รูปโปรไฟล์ ",
"weight": "bold",
"align": "center",
"color": s,
"size": "lg",
'flex': 1,
},
]
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"contents": [
{
"type": "icon",
"url": "https://os.line.naver.jp/os/p/"+maxgieMID,
"size": "md"
},
{
"type": "text",
"text": "★ʄທയஆടஷະ★ ",
"align": "center",
"color": s,
"size": "md",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
{
"type": "spacer",
"size": "sm",
}
]
}
]
}
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": a},
"body": {"backgroundColor": a},
"footer": {"backgroundColor": a, "separator": True, "separatorColor": s}
},
"hero": {
"type": "image",
"url": "{}".format(cover),
"size": "full",
"aspectRatio":"20:13",
"aspectMode":"cover"
},
"body": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "{}".format(contact.mid),
"align": "center",
"color": s,
"size": "sm",
"flex": 1,
},
{
"type": "text",
"text": "รูปปกพื้นหลัง ",
"weight": "bold",
"align": "center",
"color": s,
"size": "lg",
'flex': 1,
},
]
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"contents": [
{
"type": "icon",
"url": "https://os.line.naver.jp/os/p/"+maxgieMID,
"size": "md"
},
{
"type": "text",
"text": "★ʄທയஆടஷະ★ ",
"align": "center",
"color": s,
"size": "md",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
{
"type": "spacer",
"size": "sm",
}
]
}
]
}
},
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": a},
"body": {"backgroundColor": a},# "separator": True, "separatorColor": "#333333"},
"footer": {"backgroundColor": a, "separator": True, "separatorColor": s}
},
"body": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "ชื่อ. ",
"size": "lg",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": "{}".format(contact.displayName),
"align": "center",
"color": s,
"size": "md"
},
{
"type": "text",
"text": "-",
"align": "center",
"color": a,
"size": "sm",
},
{
"type": "text",
"text": "สเตตัส ",
"size": "lg",
"weight": "bold",
"align": "center",
"color": s
},
{
"type": "text",
"text": "{}".format(contact.statusMessage),
"align": "center",
"color": s,
"wrap": True,
"size": "md"
},
]
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"contents": [
{
"type": "icon",
"url": "https://os.line.naver.jp/os/p/"+maxgieMID,
"size": "md"
},
{
"type": "text",
"text": "★ʄທയஆടஷະ★ ",
"align": "center",
"color": s,
"size": "md",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
{
"type": "spacer",
"size": "sm"
}
]
}
]
}
}
]
data = {
"type": "flex",
"altText": "{}".format(contact.displayName),
"contents": {
"type": "carousel",
"contents": dataProfile
}
}
sendTemplate(to, data)
if text.lower() == "เรา":
contact = maxgie.getContact(sender)
sendTemplate(to,{"type":"flex","altText": "★ʄທയஆടஷະ★ ","contents":{"type":"bubble","footer":{"type":"box","layout":"horizontal","contents":[{"color":"#333333","size":"xs","wrap":True,"action":{"type":"uri","uri":"https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif"},"type":"text","text":"★ʄທയஆടஷະ★ ","align":"center","weight":"bold"},{"type":"separator","color":"#FF3333"},{"color":"#FF3333","size":"xs","wrap":True,"action":{"type":"uri","uri":"line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"},"type":"text","text":"ผู้สร้าง","align":"center","weight":"bold"}]},"styles":{"footer":{"backgroundColor":"#000000"},"body":{"backgroundColor":"#CCFFFF"}},"body":{"type":"box","contents":[{"type":"box","contents":[{"type":"separator","color":"#FF3333"},{"aspectMode":"cover","gravity":"bottom","aspectRatio":"1:1","size":"sm","type":"image","url":"https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif"},{"type":"separator","color":"#FF3333"},{"type":"image","aspectMode":"cover","aspectRatio":"1:1","size":"sm","url":"https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif"},{"type":"separator","color":"#FF3333"},{"type":"image","aspectMode":"cover","aspectRatio":"1:1","size":"sm","url":"https://img.live/images/2019/02/10/1549778907829.jpg"},{"type":"separator","color":"#FF3333"},{"type":"image","aspectMode":"cover","aspectRatio":"1:1","size":"sm","url":"https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif"},{"type":"separator","color":"#FF3333"}],"layout":"vertical","spacing":"none","flex":1},{"type":"separator","color":"#FF3333"},{"type":"box","contents":[{"type":"separator","color":"#FF3333"},{"color":"#FF3333","size":"md","wrap":True,"type":"text","text":" ★ʄທയஆടஷະ★ ","weight":"bold"},{"type":"separator","color":"#FF3333"},{"color":"#FF3333","size":"md","wrap":True,"type":"text","text":"{}".format(contact.displayName),"weight":"bold"},{"type":"separator","color":"#FF3333"},{"color":"#FF3333","size":"xs","wrap":True,"type":"text","text":"Status Profile:","weight":"bold"},{"type":"text","text":"{}".format(contact.statusMessage),"size":"xxs","wrap":True,"color":"#FF3333"}],"layout":"vertical","flex":2}],"layout":"horizontal","spacing":"md"},"hero":{"aspectMode":"cover","margin":"xxl","aspectRatio":"1:1","size":"full","type":"image","url":"https://obs.line-scdn.net/{}".format(contact.pictureStatus)}}})
elif text.lower() == "/runtime" or text.lower() == "/ออน":
timeNow = time.time() - Start
runtime = timeChange(timeNow)
run = "เวลาออน \n"
run += runtime
helps = "{}".format(str(run))
data = {
"type": "text",
"text": "{}".format(str(run)),
"sentBy": {
"label": "{}".format(maxgie.getContact(maxgieMID).displayName),
"iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"linkUrl": "line://nv/profilePopup/mid=uca43cd15fb994f5e04c0984b7c1693ef"
}
}
sendTemplate(to, data)
elif text.lower() == "/runtime" or text.lower() == "!ออน":
timeNow = time.time() - Start
runtime = timeChange(timeNow)
run = "⇨ เวลาออน ⇦\n"
run += runtime
helps = "{}".format(str(run))
data = {
"type": "text",
"text": "{}".format(str(run)),
"sentBy": {
"label": "{}".format(maxgie.getContact(maxgieMID).displayName),
"iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"linkUrl": "line://nv/profilePopup/mid=ubd86e8c77559b1493f0ad64b1dba2d6c"
}
}
sendTemplate(to, data)
if text.lower() == "ออน" or text.lower() == "runtime":
timeNow = time.time() - Start
runtime = timeChange(timeNow)
run = "⇨ เวลาออน ⇦\n"
run += runtime
data = {
"type": "flex",
"altText": "{}".format(run),
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"hero": {
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(sender).pictureStatus),
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
# {
# "type": "image",
#"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
# "size": "full"
# },
{
"type": "text",
"text": "{}".format(run),
"wrap": True,
"color": "#000000",
"align": "center",
"gravity": "center",
"size": "md"
},
]
}
}
}
sendTemplate(to, data)
elif text.lower() == "รีบอท" or text.lower() == "reset":
gifnya = ["https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif"]
data = {
"type": "template",
"altText": "กำลังรีบอท...",
"template": {
"type": "image_carousel",
"columns": [
{
"imageUrl": "{}".format(random.choice(gifnya)),
"size": "full",
"action": {
"type": "uri",
"uri": "line://ti/p/~nonbysignal"
}
}
]
}
}
sendTemplate(to, data)
restartBot()
time.sleep(1)
ga = "สำเร็จแล้ว (｀・ω・´)"
data = {
"type": "text",
"text": "{}".format(str(ga)),
"sentBy": {
"label": "รีบอทสำเร็จ...",
"iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"linkUrl": "line://ti/p/~nonbysignal"
}
}
sendTemplate(to, data)
elif text.lower() == "Sp" or text.lower() == "สปีด":
contact = maxgie.getContact(sender)
start = time.time()
maxgie.sendMessage(to, "ทดสอบความเร็ว")
elapsed_time = time.time() - start
took = time.time() - start
a = " สปีดบอท \nความเร็วปิง ✔️\n Took : %.3fms ✔️\nความเร็วสปีด: %.10f ✔️" % (took,elapsed_time)
LINKFOTO = "https://os.line.naver.jp/os/p/" + sender
LINKVIDEO = "https://os.line.naver.jp/os/p/" + sender + "/vp"
data = {
"type": "flex",
"altText": "{}".format(a),
"contents": {
"type": "bubble",
'styles': {
"header": {
"backgroundColor": '#13C500'
},
"footer": {
"backgroundColor": '#000000'
},
},
"header": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(contact.pictureStatus),
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
{
"type": "box",
"layout": "vertical",
"margin": "lg",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "{}".format(a),
"color": "#000000",
"wrap": True,
"size": "sm",
"flex": 1
}
]
}
]
}
]
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "button",
"style": "link",
"height": "sm",
"action": {
"type": "uri",
"label": "★ʄທയஆടஷະ★ ",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
{
"type": "spacer",
"size": "sm",
}
],
"flex": 0
}
}
}
sendTemplate(to, data)
elif "คอล" in msg.text.lower():
if msg.toType == 2:
sep = msg.text.split(" ")
resp = msg.text.replace(sep[0] + " ","")
num = int(resp)
try:
maxgie.unsendMessage(msg_id)
duc1(to, "เริ่มการเชิญ....")
except:
pass
for var in range(num):
group = maxgie.getGroup(msg.to)
members = [mem.mid for mem in group.members]
maxgie.acquireGroupCallRoute(msg.to)
maxgie.inviteIntoGroupCall(msg.to, contactIds=members)
maxgie.unsendMessage(msg_id)
duc1(to, "เชิญเรียบร้อย")
elif msg.text.startswith("โทร"):
dan = text.split(" ")
num = int(dan[1])
ret_ = "╭──[ เชิญโทรสำเร็จ ]"
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
for var in range(0,num):
group = maxgie.getGroup(to)
members = [ls]
maxgie.acquireGroupCallRoute(to)
maxgie.inviteIntoGroupCall(to, contactIds=members)
ret_ += "\n├> @!"
ret_ += "\n╰─── ★ʄທയஆടஷະ★ "
maxgie.sendPhu(to, ret_, lists)
elif "Spam " in msg.text:
txt = msg.text.split(" ")
jmlh = int(txt[2])
teks = msg.text.replace("Spam "+str(txt[1])+" "+str(jmlh)+" ","")
tulisan = jmlh * (teks+"\n")
if txt[1] == "on":
if jmlh <= 100000:
for x in range(jmlh):
maxgie.sendMessage(msg.to, teks)
else:
maxgie.sendMessage(msg.to, "Out of Range!")
elif txt[1] == "off":
if jmlh <= 100000:
maxgie.sendMessage(msg.to, tulisan)
elif text.lower() == 'ข้อมูล' or text.lower() == "about":
try:
arr = []
owner = "ubd86e8c77559b1493f0ad64b1dba2d6c"
creator = maxgie.getContact(owner)
contact = maxgie.getContact(maxgieMID)
grouplist = maxgie.getGroupIdsJoined()
contactlist = maxgie.getAllContactIds()
blockedlist = maxgie.getBlockedContactIds()
IdsInvit = maxgie.getGroupIdsInvited()
times = time.time() - Start
runtime = timeChange(times)
ret_ = "╭───「 About Your 」"
ret_ += "\n├ ชื่อ : {}".format(contact.displayName)
ret_ += "\n├ กลุ่ม : {}".format(str(len(grouplist)))
ret_ += "\n├ เพื่อน : {}".format(str(len(contactlist)))
ret_ += "\n├ บล็อค : {}".format(str(len(blockedlist)))
ret_ += "\n├ ค้างเชิญ : {}".format(str(len(IdsInvit)))
ret_ += "\n├────────────"
ret_ += "\n├ เวลาออนบอท :"
ret_ += "\n├ {}".format(str(runtime))
ret_ += "\n├────────────"
ret_ += "\n├ ผู้สร้าง : {}".format(str(creator.displayName))
ret_ += "\n╰───「 ★ʄທയஆടஷະ★ 」"
feds = "{}".format(str(ret_))
data = {
"type": "text",
"text": "{}".format(str(ret_)),
"sentBy": {
"label": "{}".format(maxgie.getContact(maxgieMID).displayName),
"iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
}
sendTemplate(to, data)
maxgie.sendContact(msg.to, creator.mid)
except Exception as e:
maxgie.sendMessage(msg.to, str(e))
elif text.lower() == "หลุดมือ":
gifnya = ['https://i.pinimg.com/originals/87/a8/9b/87a89b5aeaf35ba0c8879db5a136ccbd.gif']
data = {
"type": "template",
"altText": "Image carouserl",
"template": {
"type": "image_carousel",
"columns": [
{
"imageUrl": "{}".format(random.choice(gifnya)),
"size": "full",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
}
]
}
}
sendTemplate(to, data)
elif text.lower() == "รัก" or text.lower() == "รักๆ":
gifnya = ['https://thumbs.gfycat.com/KlutzyUglyGelding-small.gif']
data = {
"type": "template",
"altText": "Image carouserl",
"template": {
"type": "image_carousel",
"columns": [
{
"imageUrl": "{}".format(random.choice(gifnya)),
"size": "full",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
}
]
}
}
sendTemplate(to, data)
elif cmd == "เทสๆ":
gifnya = ['https://thumbs.gfycat.com/AngelicCloudyJaeger-size_restricted.gif','https://thumbs.gfycat.com/AgedZealousBlackfootedferret-size_restricted.gif','https://thumbs.gfycat.com/FondHastyChinesecrocodilelizard-size_restricted.gif','https://thumbs.gfycat.com/LividCrazyDipper-size_restricted.gif','https://thumbs.gfycat.com/LoathsomeDevotedGossamerwingedbutterfly-size_restricted.gif','https://thumbs.gfycat.com/SamePhysicalHarrierhawk-size_restricted.gif','https://thumbs.gfycat.com/ColorlessPinkLangur-size_restricted.gif','https://thumbs.gfycat.com/ThoseBitesizedBrahmanbull-size_restricted.gif','https://thumbs.gfycat.com/FakeSlowBengaltiger-size_restricted.gif','https://thumbs.gfycat.com/TanSpitefulChupacabra-size_restricted.gif']
data = {
"type": "template",
"altText": "Image carouserl",
"template": {
"type": "image_carousel",
"columns": [
{
"imageUrl": "{}".format(random.choice(gifnya)),
"size": "full",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
}
]
}
}
sendTemplate(to, data)
elif msg.text.lower().startswith("ตั้งรูปโปรไฟล์"):
link = removeCmd("ตั้งรูปโปรไฟล์", text)
contact = maxgie.getContact(sender)
maxgie.sendMessage(to, "Type: Profile\n • Detail: Change video url\n • Status: Download...")
print("Sedang Mendownload Data ~")
pic = "http://dl.profile.line-cdn.net/{}".format(contact.pictureStatus)
subprocess.getoutput('youtube-dl --format mp4 --output TeamAnuBot.mp4 {}'.format(link))
pict = maxgie.downloadFileURL(pic)
vids = "TeamAnuBot.mp4"
changeVideoAndPictureProfile(pict, vids)
maxgie.sendMessage(to, "Type: Profile\n • Detail: Change video url\n • Status: Succes")
os.remove("TeamAnuBot.mp4")
#=====================================================================
#=====================================================================
elif msg.text.lower().startswith("/คท "):
if 'MENTION' in list(msg.contentMetadata.keys())!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
contact = maxgie.getContact(ls)
mi_d = contact.mid
maxgie.sendContact(msg.to, mi_d)
elif text.lower() == "เทส":
duc1(to, "█▒... 10.0%")
duc1(to, "███▒... 25.0%")
duc1(to, "█████▒... 50.0%")
duc1(to, "███████▒... 75.0%")
duc1(to, "███████████..100.0%")
elif msg.text in ["นับ"]:
duc1(to,"เริ่ม..")
duc1(to,"??:::⭐ 1 ⭐:::💖")
duc1(to,"💚:::⭐ 5 ⭐:::💚")
duc1(to,"💖:::⭐ 10 ⭐:::💖")
duc1(to,"?????" +datetime.today().strftime('%H:%M:%S')+ "™")
#=====================================================================
elif msg.text.lower().startswith("ประกาศแชท: "):
sep = text.split(" ")
txt = text.replace(sep[0] + " ","")
friends = maxgie.friends
for friend in friends:
maxgie.sendMessage(friend, "「ข้อความอัตโนมัติ ประกาศแชท」\n{}".format(str(txt)))
duc1(to, "ส่งข้อความถึงเพื่อน {} คน".format(str(len(friends))))
#=============================================================================
elif msg.text.lower().startswith("ดำ "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
try:
apalo["Talkblacklist"][ls] = True
maxgie.sendMessage(to, 'Add to TalkBan')
except:
pass
elif msg.text.lower().startswith("ล้าง "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
try:
del apalo["Talkblacklist"][ls]
maxgie.sendMessage(to, 'Deleted from TalkBan')
except:
pass
elif text.lower() == "เชคดำ":
if apalo["Talkblacklist"] == {}:
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ไม่พบคนที่ยัดดำ🌟")
else:
ma = ""
a = 0
for m_id in apalo["Talkblacklist"]:
a = a + 1
end = '\n'
ma += str(a) + ". " +maxgie.getContact(m_id).displayName + "\n"
duc1(to,"รายชื่อคนติดดำ :\n\n"+ma+"\nจำนวน %s คนติดดำ" %(str(len(apalo["Talkblacklist"]))))
#=====================================================================
if text.lower() == "เปิดบล็อค":
if msg._from in admin:
settings["autoblock"] = True
sa = "เปิดแล้ว (｀・ω・´)"
else:
sa = "เปิดอยู่แล้ว (｀・ω・´)"
duc1(to, sa)
if text.lower() == "ปิดบล็อค":
if msg._from in admin:
settings["autoblock"] = False
duc1(to,"ปิดแล้ว (｀・ω・´)")
else:
duc1(to,"ปิดอยู่แล้ว (｀・ω・´)")
if text.lower() == "เปิดแทค":
tagadd["tags"] = True
sa = "เปิดแล้วว >_<"
duc1(to,str(sa))
if text.lower() == "ปิดแทค":
tagadd["tags"] = False
sa = "ปิดแล้ว >_<"
duc1(to,str(sa))
if text.lower() == "เปิดกันรัน":
settings["autoCancel"]["on"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดกันรันเรียบร้อย🌟")
if text.lower() == "ปิดกันรัน":
settings["autoCancel"]["on"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดกันรันเรียบร้อย🌟")
if text.lower() == "กินห้องเปิด":
if msg._from in maxgieMID:
kcn["autojoin"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟กินห้อง (เปิด) ใช้งาน🌟")
else:
maxgie.sendMessage(msg.to,"「 Status Autoleave 」\nเปิดใช้งานกินห้องอัตโนมัติแล้ว")
if text.lower() == "กินห้องปิด":
if msg._from in maxgieMID:
kcn["autojoin"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟กินห้อง (ปิด) ใช้งาน🌟")
else:
maxgie.sendMessage(msg.to,"「 Status Autoleave 」\nเปิดใช้งานกินห้องอัตโนมัติแล้ว")
if text.lower() == "เปิดแอด":
settings["autoAdd"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดแอดเรียบร้อย🌟")
if text.lower() == "ปิดแอด":
settings["autoAdd"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดแอดเรียบร้อย🌟")
if text.lower() == "ปิดไลค์":
sets["l"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดไลค์แล้ว🌟")
if text.lower() == "เปิดไลค์":
sets["l"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดไลค์แล้ว🌟")
if text.lower() == "เปิดแทค2":
tagadd["tagss"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดแทค2เรียบร้อย🌟")
if text.lower() == "ปิดแทค2":
tagadd["tagss"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดแทค2เรียบร้อย🌟")
if text.lower() == "เปิดคอมเม้น":
settings["com"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดคอมเม้นเรียบร้อย🌟")
if text.lower() == "ปิดคอมเม้น":
settings["com"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดคอมเม้นเรียบร้อย🌟")
if text.lower() == "เปิดต้อนรับ":
settings["Welcome"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดต้อนรับเรียบร้อย🌟")
if text.lower() == "ปิดต้อนรับ":
settings["Welcome"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดต้อนรับเรียบร้อย🌟")
if text.lower() == "เปิดต้อนรับ2":
settings["Wc"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดต้อนรับ2เรียบร้อย🌟")
if text.lower() == "ปิดต้อนรับ2":
settings["Wc"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดต้อนรับ2เรียบร้อย🌟")
if text.lower() == "เปิดคนออก":
settings["Leave"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดคนออกเรียบร้อย🌟")
if text.lower() == "ปิดคนออก":
settings["Leave"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดคนออกเรียบร้อย🌟")
if text.lower() == "เปิดยกเลิก":
settings["unsendMessage"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดยกเลิกเรียบร้อย🌟")
if text.lower() == "ปิดยกเลิก":
settings["unsendMessage"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดยกเลิกเรียบร้อย🌟")
if text.lower() == "เปิดติ๊กใหญ่":
settings["Sticker"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดติ๊กใหญ่เรียบร้อย🌟")
if text.lower() == "ปิดติ๊กใหญ่":
settings["Sticker"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดติ๊กใหญ่เรียบร้อย🌟")
if text.lower() == "เปิดโค๊ดติ๊ก":
sets["Sticker"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดโค๊ดติ๊กเรียบร้อย🌟")
if text.lower() == "ปิดโค๊ดติ๊ก":
sets["Sticker"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดโค๊ดติ๊กเรียบร้อย🌟")
if text.lower() == "เปิดแทค3":
sets["tagsticker"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดแทค3เรียบร้อย🌟")
if text.lower() == "ปิดแทค3":
sets["tagsticker"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดแทค3เรียบร้อย🌟")
if text.lower() == "เปิดติ๊กคนออก":
settings["lv"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดติ๊กคนออกเรียบร้อย🌟")
if text.lower() == "ปิดติ๊กคนออก":
settings["lv"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดติ๊กคนออกเรียบร้อย🌟")
if text.lower() == "เปิดติ๊กคนเข้า":
settings["wcsti2"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดติ๊กคนเข้าเรียบร้อย🌟")
if text.lower() == "ปิดติ๊กคนเข้า":
settings["wcsti2"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดติ๊กคนเข้าเรียบร้อย🌟")
if text.lower() == "เปิดมุดลิ้ง":
sets["autoJoinTicket"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟เปิดมุดลิ้งเรียบร้อย🌟")
if text.lower() == "ปิดมุดลิ้ง":
sets["autoJoinTicket"] = False
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ปิดมุดลิ้งเรียบร้อย🌟")
elif text.lower() == 'speed':start = time.time();maxgie.sendMessage("ue846139824ec13384cbb921b460323ac", "★ʄທയஆടஷະ★ ");elapsed_time = time.time() - start;duc1(to, "Speed : %s second"%str(round(elapsed_time,4)))
elif msg.text.lower().startswith("ประกาศ "):
txt = removeCmd("ประกาศ", text)
groups = maxgie.getGroupIdsJoined()
url = 'https://nekos.life/api/v2/img/ngif'
text1 = requests.get(url).text
image = json.loads(text1)['url']
for group in groups:
sa = " ประกาศ \n\n{}".format(str(txt))
data = {
"type":"flex",
"altText":"ขอพื้นที่แหกปากหน่อย...",
"contents":{
"type": "carousel",
"contents": [
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#FF0000"},
"body": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#FF0000"},
"footer": {"backgroundColor": "#0033FF", "separator": True, "separatorColor": "#FF0000"}
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "ขอพื้นที่แหกปากหน่อยนะ\n",
"align": "center",
"size": "lg",
"weight": "bold",
"color": "#FFD300",
"wrap": True
}
]
},
"type": "bubble",
"body": {
"contents": [
{
"contents": [
{
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"type": "image"
},
{
"type": "separator",
"color": "#000000"
},
{
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"type": "image"
}
],
"type": "box",
"spacing": "md",
"layout": "horizontal"
},
{
"type": "separator",
"color": "#000000"
},
{
"contents": [
{
"text": sa,
"size": "md",
"align": "center",
"color": "#FFD300",
"wrap": True,
"weight": "bold",
"type": "text"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
{
"type": "separator",
"color": "#000000"
},
{
"contents": [
{
"contents": [
{
"type": "text",
"text": sa,
"align": "center",
"size": "xs",
"weight": "bold",
"color": "#000000",
"wrap": True
}
],
"type": "box",
"layout": "baseline"
},
{
"contents": [
{
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),
"type": "icon",
"size": "md"
},
{
"text": " ★ʄທയஆടஷະ★ ",
"size": "xs",
"margin": "none",
"color": "#FFD300",
"wrap": True,
"weight": "regular",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "vertical"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
"footer": {
"type": "box",
"layout": "horizontal",
"spacing": "sm",
"contents": [
{
"type": "button",
"flex": 2,
"style": "primary",
"color": "#FFD300",
"height": "sm",
"action": {
"type": "uri",
"label": "★ʄທയஆടஷະ★ ",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
}
},
{
"flex": 3,
"type": "button",
"style": "primary",
"color": "#FFD300",
"margin": "sm",
"height": "sm",
"action": {
"type": "uri",
"label": "★ʄທയஆടஷະ★ ",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
}
}
]
}
}
]
}
}
sendTemplate(group, data)
time.sleep(1)
maxgie.sendMessage(to, "ส่งคำประกาศจำนวน {} กลุ่ม".format(str(len(groups))))
elif msg.text.lower().startswith("ขายของ"):
contact = maxgie.getContact(sender)
groups = maxgie.getGroupIdsJoined()
for group in groups:
dataProfile = [
{
"type": "bubble",
"styles": {
"header": {
"backgroundColor": '#000000'
},
"body": {
"backgroundColor": '#000000'
},
"footer": {
"backgroundColor": '#FF0033'
},
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "★ʄທയஆടஷະ★ ",
"size": "md",
"weight": "bold",
"align": "center",
"color": "#FF0033"
}
]
},
"hero": {
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"size": "full",
"aspectRatio": "20:13",
"aspectMode": "cover",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
"body": {
"type": "box",
"layout": "horizontal",
"spacing": "md",
"contents": [
{
"type": "box",
"layout": "vertical",
"flex": 1,
"contents": [
{
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"aspectMode": "cover",
"aspectRatio": "4:3",
"size": "sm",
"gravity": "bottom"
},
{
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"aspectMode": "cover",
"aspectRatio": "4:3",
"margin": "md",
"size": "sm"
}
]
},
{
"type": "box",
"layout": "vertical",
"flex": 2,
"contents": [
{
"type": "text",
"text": "self bot python3",
"color": "#FF0033",
"gravity": "top",
"size": "xs",
"flex": 1
},
{
"type": "separator"
},
{
"type": "text",
"text": "ราคา 100 บาท/เดือน",
"color": "#FF0033",
"gravity": "center",
"size": "xs",
"flex": 2
},
{
"type": "separator"
},
{
"type": "text",
"text": "ห้องบอท",
"color": "#FF0033",
"gravity": "center",
"size": "xs",
"flex": 2
},
{
"type": "separator"
},
{
"type": "text",
"text": "ราคา 200 บาท",
"color": "#FF0033",
"gravity": "bottom",
"size": "xs",
"flex": 1
},
{
"type": "separator"
},
{
"type": "text",
"text": "ดูแลตลอดการใช้งาน",
"color": "#FF0033",
"gravity": "bottom",
"size": "xs",
"flex": 1
},
]
}
]
},
"footer": {
"contents": [
{
"contents": [
{
"contents": [
{
"text": "สนใจติดต่อ",
"size": "xl",
"action": {
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
"type": "uri",
"label": "Add Maker"
},
"margin": "xl",
"align": "center",
"color": "#000000",
"weight": "bold",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "horizontal"
}
],
"type": "box",
"layout": "vertical"
}
},
{
"type": "bubble",
"styles": {
"header": {
"backgroundColor": '#000000'
},
"body": {
"backgroundColor": '#000000'
},
"footer": {
"backgroundColor": '#FF0033'
},
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "★ʄທയஆടஷະ★ ",
"size": "md",
"weight": "bold",
"align": "center",
"color": "#FF0033"
}
]
},
"hero": {
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"size": "full",
"aspectRatio": "20:13",
"aspectMode": "cover",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
"body": {
"type": "box",
"layout": "horizontal",
"spacing": "md",
"contents": [
{
"type": "box",
"layout": "vertical",
"flex": 1,
"contents": [
{
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"aspectMode": "cover",
"aspectRatio": "4:3",
"size": "sm",
"gravity": "bottom"
},
{
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"aspectMode": "cover",
"aspectRatio": "4:3",
"margin": "md",
"size": "sm"
}
]
},
{
"type": "box",
"layout": "vertical",
"flex": 2,
"contents": [
{
"type": "text",
"text": "ติ๊กเกอร์ ราคาถูก",
"color": "#FF0033",
"gravity": "top",
"size": "xs",
"flex": 1
},
{
"type": "separator"
},
{
"type": "text",
"text": "เหรียญเหมาเหรียญแท้ๆ",
"color": "#FF0033",
"gravity": "center",
"size": "xs",
"flex": 2
},
{
"type": "separator"
},
{
"type": "text",
"text": "ติ๊กโปรทุกวัน",
"color": "#FF0033",
"gravity": "center",
"size": "xs",
"flex": 2
},
{
"type": "separator"
},
{
"type": "text",
"text": "ราคาถูกสอบถามได้",
"color": "#FF0033",
"gravity": "bottom",
"size": "xs",
"flex": 1
},
{
"type": "separator"
},
{
"type": "text",
"text": "เราใจดี",
"color": "#FF0033",
"gravity": "bottom",
"size": "xs",
"flex": 1
},
]
}
]
},
"footer": {
"contents": [
{
"contents": [
{
"contents": [
{
"text": "สนใจติดต่อ",
"size": "xl",
"action": {
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
"type": "uri",
"label": "Add Maker"
},
"margin": "xl",
"align": "center",
"color": "#000000",
"weight": "bold",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "horizontal"
}
],
"type": "box",
"layout": "vertical"
}
},
{
"type": "bubble",
"styles": {
"header": {
"backgroundColor": '#000000'
},
"body": {
"backgroundColor": '#000000'
},
"footer": {
"backgroundColor": '#FF0033'
},
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "★ʄທയஆടஷະ★ ",
"size": "md",
"weight": "bold",
"align": "center",
"color": "#FF0033"
}
]
},
"hero": {
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"size": "full",
"aspectRatio": "20:13",
"aspectMode": "cover",
"action": {
"type": "uri",
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"
}
},
"body": {
"type": "box",
"layout": "horizontal",
"spacing": "md",
"contents": [
{
"type": "box",
"layout": "vertical",
"flex": 1,
"contents": [
{
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"aspectMode": "cover",
"aspectRatio": "4:3",
"size": "sm",
"gravity": "bottom"
},
{
"type": "image",
"url": "https://sv1.picz.in.th/images/2019/05/19/wubKKl.gif",
"aspectMode": "cover",
"aspectRatio": "4:3",
"margin": "md",
"size": "sm"
}
]
},
{
"type": "box",
"layout": "vertical",
"flex": 2,
"contents": [
{
"type": "text",
"text": "ขายสคิป/เฟค/คิก/ธรรมดา",
"color": "#FF0033",
"gravity": "top",
"size": "xs",
"flex": 1
},
{
"type": "separator"
},
{
"type": "text",
"text": "ไฟลบอทล็อคอิน",
"color": "#FF0033",
"gravity": "center",
"size": "xs",
"flex": 2
},
{
"type": "separator"
},
{
"type": "text",
"text": "ปล่อยเช่าเชิฟเวอร์",
"color": "#FF0033",
"gravity": "center",
"size": "xs",
"flex": 2
},
{
"type": "separator"
},
{
"type": "text",
"text": "ราคาสบายๆกระเป๋า",
"color": "#FF0033",
"gravity": "bottom",
"size": "xs",
"flex": 1
},
{
"type": "separator"
},
{
"type": "text",
"text": "ดูแลตลอดการใช้งาน",
"color": "#FF0033",
"gravity": "bottom",
"size": "xs",
"flex": 1
},
]
}
]
},
"footer": {
"contents": [
{
"contents": [
{
"contents": [
{
"text": "สนใจติดต่อ",
"size": "xl",
"action": {
"uri": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac",
"type": "uri",
"label": "Add Maker"
},
"margin": "xl",
"align": "center",
"color": "#000000",
"weight": "bold",
"type": "text"
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "horizontal"
}
],
"type": "box",
"layout": "vertical"
}
},
]
data = {
"type": "flex",
"altText": "มีของมาขาย",
"contents": {
"type": "carousel",
"contents": dataProfile
}
}
sendTemplate(group, data)
time.sleep(1)
maxgie.sendMessage(to, "ส่งคำประกาศจำนวน {} กลุ่ม".format(str(len(groups))))
#==============================================================================#
elif text.lower() == "แทค":
group = maxgie.getGroup(to);nama = [contact.mid for contact in group.members];nama.remove(maxgie.getProfile().mid)
maxgie.datamention(to,'★ʄທയஆടஷະ★ ',nama)
elif text.lower() == "/แทค" or text.lower() == "tagall":
if msg._from in maxgieMID:
group = maxgie.getGroup(msg.to)
nama = [contact.mid for contact in group.members]
nm1, nm2, nm3, nm4, nm5, nm6, nm7, nm8, nm9, jml = [], [], [], [], [], [], [], [], [], len(nama)
if jml <= 20:
mentionMembers(msg.to, nama)
if jml > 20 and jml < 40:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, len(nama)):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
if jml > 40 and jml < 60:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, len(nama)):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
if jml > 60 and jml < 80:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, 59):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
for l in range (60, len(nama)):
nm4 += [nama[l]]
mentionMembers(msg.to, nm4)
if jml > 80 and jml < 100:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, 59):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
for l in range (60, 79):
nm4 += [nama[l]]
mentionMembers(msg.to, nm4)
for m in range (80, len(nama)):
nm5 += [nama[m]]
mentionMembers(msg.to, nm5)
if jml > 100 and jml < 120:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, 59):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
for l in range (60, 79):
nm4 += [nama[l]]
mentionMembers(msg.to, nm4)
for n in range (80, 99):
nm5 += [nama[n]]
mentionMembers(msg.to, nm5)
for o in range (100, len(nama)):
nm6 += [nama[o]]
mentionMembers(msg.to, nm6)
if jml > 120 and jml < 140:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, 59):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
for l in range (60, 79):
nm4 += [nama[l]]
mentionMembers(msg.to, nm4)
for n in range (80, 99):
nm5 += [nama[n]]
mentionMembers(msg.to, nm5)
for o in range (100, 119):
nm6 += [nama[o]]
mentionMembers(msg.to, nm6)
for v in range (120, len(nama)):
nm7 += [nama[v]]
mentionMembers(msg.to, nm7)
if jml > 140 and jml < 160:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, 59):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
for l in range (60, 79):
nm4 += [nama[l]]
mentionMembers(msg.to, nm4)
for n in range (80, 99):
nm5 += [nama[n]]
mentionMembers(msg.to, nm5)
for o in range (100, 119):
nm6 += [nama[o]]
mentionMembers(msg.to, nm6)
for q in range (120, 139):
nm7 += [nama[q]]
mentionMembers(msg.to, nm7)
for r in range (140, len(nama)):
nm8 += [nama[r]]
mentionMembers(msg.to, nm8)
if jml > 160 and jml < 180:
for i in range (0, 19):
nm1 += [nama[i]]
mentionMembers(msg.to, nm1)
for j in range (20, 39):
nm2 += [nama[j]]
mentionMembers(msg.to, nm2)
for k in range (40, 59):
nm3 += [nama[k]]
mentionMembers(msg.to, nm3)
for l in range (60, 79):
nm4 += [nama[l]]
mentionMembers(msg.to, nm4)
for n in range (80, 99):
nm5 += [nama[n]]
mentionMembers(msg.to, nm5)
for o in range (100, 119):
nm6 += [nama[o]]
mentionMembers(msg.to, nm6)
for q in range (120, 139):
nm7 += [nama[q]]
mentionMembers(msg.to, nm7)
for z in range (140, 159):
nm8 += [nama[z]]
mentionMembers(msg.to, nm8)
for f in range (160, len(nama)):
nm9 += [nama[f]]
mentionMembers(msg.to, nm9)
#==============================================================================#
elif msg.text.lower().startswith("เขียน "):
sep = msg.text.split(" ")
textnya = msg.text.replace(sep[0] + " ","")
urlnya ="http://chart.apis.google.com/chart?chs=480x80&cht=p3&chtt=" + textnya +"&chts=ff3333,70&chf=bg,s,ff3333"
maxgie.sendImageWithURL(msg.to, urlnya)
elif msg.text.lower().startswith("เขียน1 "):
sep = text.split(" ")
textnya = text.replace(sep[0] + " ", "")
text = "{}".format(textnya)
contact = maxgie.getContact(maxgieMID)
data = {
"type": "flex",
"altText": "มาอ่าน",
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#00FFFF'
},
},
"hero": {
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(contact.pictureStatus),
"size": "full",
"aspectRatio":"1:1",
"aspectMode":"cover"
},
"body": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "{}".format(text),
"color":"#000000",
"wrap": True,
"align": "center",
"gravity": "center",
"size": "xl"
},
]
}
}
}
sendTemplate(to, data)
elif msg.text.lower().startswith("ดึง "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
try:
maxgie.findAndAddContactsByMid(ls)
maxgie.inviteIntoGroup(to, [ls])
except:
duc1(to, "Limited !")
elif msg.text.lower().startswith("สะกด"):
if msg.toType == 2:
data = text.replace("สะกด ","")
yud = data.split(' ')
yud = yud[0].replace(' ','_')
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
maxgie.unsendMessage(msg_id)
maxgie.sendMessage(to, yud,contentMetadata={"MSG_SENDER_NAME": str(maxgie.getContact(ls).displayName),"MSG_SENDER_ICON":"http://dl.profile.line-cdn.net/%s" % maxgie.getContact(ls).pictureStatus})
elif text.startswith("ยูทูป "):
a = maxgie.adityarequestweb("https://www.googleapis.com/youtube/v3/search?part=snippet&maxResults=25&q="+maxgie.adityasplittext(text,'s')+"&type=video&key=AIzaSyAF-_5PLCt8DwhYc7LBskesUnsm1gFHSP8")
if a["items"] != []:
no = 0
ret_ = []
for music in a["items"]:
no += 1
ret_.append({"type": "bubble","styles": {"header": {"backgroundColor": "#0033FF", "separator": True, "separatorColor": "#FFFFFF"},"body": {"backgroundColor": "#0033FF", "separator": True, "separatorColor": "#FFFFFF"},"footer": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#FFFFFF"},},"header": {"type": "box","layout": "horizontal","contents": [{"type": "text","text": "Youtube","weight": "bold","color": "#FFFFFF","size": "sm"}]},"hero": {"type": "image","url": 'https://i.ytimg.com/vi/{}/maxresdefault.jpg'.format(music['id']['videoId']),"size": "full","aspectRatio": "20:13","aspectMode": "fit","action": {"type": "uri","uri": 'https://www.youtube.com/watch?v=' +music['id']['videoId']}},"body": {"type": "box","layout": "vertical","contents": [{"type": "box","layout": "vertical","margin": "lg","spacing": "sm","contents": [{"type": "box","layout": "baseline","spacing": "sm","contents": [{"type": "text","text": "ข้อมูล","color": "#FFFFFF","size": "sm","flex": 1},{"type": "text","text": "{}".format(music['snippet']['title']),"color": "#FFFFFF","wrap": True,"size": "sm","flex": 5}]}]}]},"footer": {"type": "box","layout": "horizontal","spacing": "sm","contents": [{"type": "button","flex": 2,"style": "primary","color": "#EE1289","height": "sm","action": {"type": "uri","label": "VIDIO","uri": "{}วีดีโอ%20https://www.youtube.com/watch?v={}".format(wait['ttt'],music['id']['videoId'])}},{"type": "button","flex": 2,"style": "primary","color": "#EE1289","height": "sm","action": {"type": "uri","label": "AUDIO","uri": "{}เสียง%20https://www.youtube.com/watch?v={}".format(wait['ttt'],music['id']['videoId'])}},],}})
k = len(ret_)//10
for aa in range(k+1):
data = {"messages": [{"type": "flex","altText": "ยูทูป","contents": {"type": "carousel","contents": ret_[aa*10 : (aa+1)*10]}}]}
maxgie.sendMessage(to,data)
else:
maxgie.sendMessage(to,"Type: Search Youtube Video\nStatus: "+str(self.adityasplittext(msg.text,'s'))+" not found")
elif msg.text.lower().startswith("image "):
query = removeCmd("image", text)
cond = query.split("|")
search = str(cond[0])
r = requests.get("https://cryptic-ridge-9197.herokuapp.com/api/imagesearch/{}".format(str(search)))
data=r.text
data=json.loads(r.text)
if data != []:
ret_ = []
for food in data:
if 'http://' in food["url"]:
pass
else:
if len(ret_) >= 10:
pass
else:
ret_.append({
"imageUrl": "{}".format(str(food["url"])),
"action": {
"type": "uri",
"label": "Send Image",
"uri": "line://app/1602687308-GXq4Vvk9?type=image&img={}".format(str(food["url"]))
}
}
)
k = len(ret_)//10
for aa in range(k+1):
data = {
"type": "template",
"altText": "sendImage",
"template": {
"type": "image_carousel",
"columns": ret_[aa*10 : (aa+1)*10]
}
}
sendTemplate(to, data)
elif msg.text.lower().startswith("เพลสโต "):
query = removeCmd("เพลสโต", text)
cond = query.split("|")
search = str(cond[0])
result = requests.get("http://api.farzain.com/playstore.php?id={}&apikey=KJaOT94NCD1bP1veQoJ7uXc9M".format(str(search)))
data = result.text
data = json.loads(data)
if data != []:
ret_ = []
for music in data:
if 'http://' in music["url"]:
pass
else:
if len(ret_) >= 10:
pass
else:
ret_.append({
"imageUrl": "{}".format(str(music["icon"])),
"action": {
"type": "uri",
"label": "Download",
"uri": "{}".format(str(music["url"]))
}
}
)
k = len(ret_)//10
for aa in range(k+1):
data = {
"type": "template",
"altText": "Searching App",
"template": {
"type": "image_carousel",
"columns": ret_[aa*10 : (aa+1)*10]
}
}
sendTemplate(to, data)
elif msg.text.lower().startswith("รูป "):
query = removeCmd("รูป", text)
cond = query.split("|")
search = str(cond[0])
result = requests.get("https://api.boteater.co/googleimg?search={}".format(str(search)))
data = result.text
data = json.loads(data)
if data["result"] != []:
ret_ = []
for fn in data["result"]:
if 'http://' in fn["img"]:
pass
else:
if len(ret_) >= 10:
pass
else:
ret_.append({
"imageUrl": "{}".format(str(fn["img"])),
"action": {
"type": "uri",
"label": "Send Image",
"uri": "line://app/1602687308-GXq4Vvk9?type=image&img={}".format(str(fn["img"]))
}
}
)
k = len(ret_)//10
for aa in range(k+1):
data = {
"type": "template",
"altText": "Google_Image",
"template": {
"type": "image_carousel",
"columns": ret_[aa*10 : (aa+1)*10]
}
}
sendTemplate(to, data)
#=====================================================================
elif msg.text.lower().startswith("ยกเชิญ"):
if msg._from in maxgieMID:
if msg.toType == 2:
group = maxgie.getGroup(receiver)
gMembMids = [contact.mid for contact in group.invitee]
k = len(gMembMids)//20
maxgie.sendMessage(msg.to,"[ ยกค้างเชิญ จำนวน {} คน] \nรอสักครู่...".format(str(len(gMembMids))))
num=1
for i in range(k+1):
for j in gMembMids[i*20 : (i+1)*20]:
time.sleep(random.uniform(0.5,0.4))
maxgie.cancelGroupInvitation(msg.to,[j])
print ("[Command] "+str(num)+" => "+str(len(gMembMids))+" cancel members")
num = num+1
maxgie.sendMessage(receiver,"รอสักครู่🕛เดียวยกต่อ 20 คน\n 『.★ʄທയஆടஷະ★ 』 ")
time.sleep(random.uniform(15,10))
maxgie.sendMessage(receiver,"[ ยกค้างเชิญ จำนวน {} คน เรียบร้อยแล้ว👏]".format(str(len(gMembMids))))
time.sleep(random.uniform(0.95,1))
maxgie.sendMessage(receiver, None, contentMetadata={"STKID": "52002735","STKPKGID": "11537","STKVER": "1" }, contentType=7)
gname = line.getGroup(receiver).name
maxgie.sendMessage(Notify,"[ ยกค้างเชิญ >> "+gname+" <<] \n จำนวน {} คน เรียบร้อยแล้ว👏\n『★ʄທയஆടஷະ★ 』".format(str(len(gMembMids))))
time.sleep(random.uniform(0.95,1))
maxgie.leaveGroup(receiver)
maxgie.sendMessage(receiver,"[ไม่มีค้างเชิญ แล้วนะ😁]")
maxgie.sendMessage(receiver, None, contentMetadata={"STKID": "52114123","STKPKGID": "11539","STKVER": "1" }, contentType=7)
maxgie.leaveGroup(receiver)
#=====================================================================
elif msg.text.lower().startswith("ยกเลิก "):
args = msg.text.lower().replace("ยกเลิก ","")
mes = 0
try:
mes = int(args[1])
except:
mes = 100
M = maxgie.getRecentMessagesV2(to, 100)
MId = []
for ind,i in enumerate(M):
if ind == 0:
pass
else:
if i._from == maxgie.profile.mid:
MId.append(i.id)
if len(MId) == mes:
break
def unsMes(id):
maxgie.unsendMessage(id)
for i in MId:
thread1 = threading.Thread(target=unsMes, args=(i,))
thread1.start()
thread1.join()
duc1(to, ' 「 กำลังยกเลิก 」\nยกเลิกทั้งหมด {} ข้อความ'.format(len(MId)))
maxgie.unsendMessage(msg_id)
#=====================================================================
elif msg.text.lower().startswith("เพิ่มเพื่อน "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
contact = maxgie.getContact(ls)
maxgie.findAndAddContactsByMid(ls)
maxgie.generateReplyMessage(msg.id)
duc1(id, to, "Success add " + str(contact.displayName) + " to Friendlist")
elif msg.text.lower().startswith("ลบเพื่อน "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
contact = maxgie.getContact(ls)
n = len(maxgie.getAllContactIds())
try:
maxgie.deleteContact(ls)
except:pass
t = len(maxgie.getAllContactIds())
maxgie.generateReplyMessage(msg.id)
duc1(id, to, "Type: Friendlist\n • Detail: Delete friend\n • Status: Succes..\n • Before: %s Friendlist\n • After: %s Friendlist"%(n,t))
elif msg.text.lower().startswith("บล็อค "):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for ls in lists:
contact = maxgie.getContact(ls)
maxgie.blockContact(ls)
maxgie.generateReplyMessage(msg.id)
duc1(id, to, "Success add " + str(contact.displayName) + " to Blocklist")
elif msg.text.lower().startswith("ไอดีไลน์ "):
a = removeCmd("ไอดีไลน์", text)
b = maxgie.findContactsByUserid(a)
line = b.mid
maxgie.unsendMessage(msg_id)
duc1(to, "line://ti/p/~" + a)
maxgie.sendContact(to, line)
maxgie.sendMessage(to,str(hasil))
elif msg.text.lower().startswith("stag "):
sep = text.split(" ")
text = text.replace(sep[0] + " ","")
cond = text.split(" ")
jml = int(cond[0])
if msg.toType == 2:
group = maxgie.getGroup(to)
for x in range(jml):
if 'MENTION' in msg.contentMetadata.keys()!= None:
names = re.findall(r'@(\w+)', text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
lists = []
for mention in mentionees:
if mention["M"] not in lists:
lists.append(mention["M"])
for receiver in lists:
contact = maxgie.getContact(receiver)
RhyN_(to, contact.mid)
elif "/ลบรัน" in msg.text.lower():
spl = re.split("/ลบรัน",msg.text,flags=re.IGNORECASE)
if spl[0] == "":
spl[1] = spl[1].strip()
ag = maxgie.getGroupIdsInvited()
txt = "กำลังยกเลิกค้างเชิญจำนวน "+str(len(ag))+" กลุ่ม"
if spl[1] != "":
txt = txt + " ด้วยข้อความ \""+spl[1]+"\""
txt = txt + "\nกรุณารอสักครู่.."
data = {"type": "text","text": "{}".format(str(txt)),"sentBy": {"label": "{}".format(maxgie.getContact(maxgieMID).displayName),"iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ubd86e8c77559b1493f0ad64b1dba2d6c"}}
sendTemplate(to, data)
procLock = len(ag)
for gr in ag:
try:
maxgie.acceptGroupInvitation(gr)
if spl[1] != "":
maxgie.sendMessage(gr,spl[1])
maxgie.leaveGroup(gr)
except:
pass
sis = "สำเร็จแล้ว (｀・ω・´)"
data = {"type": "text","text": "{}".format(str(sis)),"sentBy": {"label": "{}".format(maxgie.getContact(maxgieMID).displayName),"iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ubd86e8c77559b1493f0ad64b1dba2d6c"}}
sendTemplate(to, data)
#=====================================================================
#==============================================================================#
elif text.lower() == 'คนสร้างกลุ่ม' or text.lower() == "แอด":
group = maxgie.getGroup(to)
cg = group.creator
c = cg.mid
name = cg.displayName
pp = cg.pictureStatus
# profile = "https://profile.line-scdn.net/" + str(pp)
data = {
"type": "flex",
"altText": "แอดกลุ่ม",
"contents": {
"type": "bubble",
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type":"text",
"text": "★ʄທയஆടஷະ★ ",
"size":"md",
# "weight":"bold",
"color":"#FF3333",
"align":"center"
},
{
"type": "text",
"text": " "
},
{
"type": "image",
"url": "https://profile.line-scdn.net/" + str(pp),
"size": "xl"
},
{
"type":"text",
"text":" "
},
{
"type":"text",
"text": name,
"color":"#FF3333",
"align":"center",
"size":"xl",
},
]
}
}
}
sendTemplate(to, data)
maxgie.sendContact(to, c)
elif text.lower() == 'ไอดีกลุ่ม':
gid = maxgie.getGroup(to)
#
maxgie.unsendMessage(msg_id)
duc1(to, "{ Group ID }\n" + gid.id)
maxgie.sendMessage(to, maxgie.getGroup(to).name, contentMetadata = {'previewUrl': 'http://dl.profile.line-cdn.net/'+maxgie.getGroup(to).pictureStatus, 'i-installUrl': 'https://line.me/ti/p/~', 'type': 'mt', 'subText': "★ʄທയஆടஷະ★ ", 'a-installUrl': 'https://line.me/ti/p/~', 'a-installUrl': ' https://line.me/ti/p/~', 'a-packageName': 'com.spotify.music', 'countryCode': 'ID', 'a-linkUri': 'https://line.me/ti/p/~', 'i-linkUri': 'https://line.me/ti/p/~', 'id': 'mt000000000a6b79f9', 'text': '★ʄທയஆടஷະ★ ', 'linkUri': 'https://line.me/ti/p/~'}, contentType=19)
elif text.lower() == 'รูปกลุ่ม':
group = maxgie.getGroup(to)
path = "http://dl.profile.line-cdn.net/" + group.pictureStatus
maxgie.sendImageWithURL(to, path)
elif text.lower() == 'ชื่อกลุ่ม':
gid = maxgie.getGroup(to)
maxgie.unsendMessage(msg_id)
duc1(to, "ชื่อกลุ่ม -> \n" + gid.name)
elif text.lower() == 'ลิ้ง':
if msg.toType == 2:
group = maxgie.getGroup(to)
if group.preventedJoinByTicket == False:
ticket = maxgie.reissueGroupTicket(to)
maxgie.sendMessage(to, "ลิ้งของกลุ่ม : "+group.name+"\nhttps://line.me/R/ti/g/{}".format(str(ticket)))
elif text.lower() == 'เปิดลิ้ง':
if msg.toType == 2:
group = maxgie.getGroup(to)
if group.preventedJoinByTicket == False:
maxgie.unsendMessage(msg_id)
duc1(to, "เปิดลิ้งเรียบร้อย")
else:
group.preventedJoinByTicket = False
maxgie.updateGroup(group)
maxgie.sendMessage(to, "เปิดลิ้งเรียบร้อย")
elif text.lower() == 'ปิดลิ้ง':
if msg.toType == 2:
group = maxgie.getGroup(to)
if group.preventedJoinByTicket == True:
maxgie.unsendMessage(msg_id)
duc1(to, "ปิดลิ้งเรียบร้อย")
else:
group.preventedJoinByTicket = True
maxgie.updateGroup(group)
maxgie.sendMessage(to, "ปิดลิ้งเรียบร้อย")
elif text.lower() == 'ข้อมูลกลุ่ม':
group = maxgie.getGroup(to)
try:
gCreator = group.creator.displayName
except:
gCreator = "ผู้สร้างกลุ่มนี้ลบชี"
if group.invitee is None:
gPending = "0"
else:
gPending = str(len(group.invitee))
if group.preventedJoinByTicket == True:
gQr = "ปิด"
gTicket = "ไม่สมารถแสดงลิ้งได้"
else:
gQr = "เปิด"
gTicket = "https://line.me/R/ti/g/{}".format(str(maxgie.reissueGroupTicket(group.id)))
path = "http://dl.profile.line-cdn.net/" + group.pictureStatus
ret_ = "╔══[ ข้อมูลของกลุ่มนี้ ]"
ret_ += "\n╠ ชื่อของกลุ่ม : {}".format(str(group.name))
ret_ += "\n╠ ไอดีของกลุ่ม : {}".format(group.id)
ret_ += "\n╠ ผู้สร้างกลุ่ม : {}".format(str(gCreator))
ret_ += "\n╠ จำนวนสมาชิก : {}".format(str(len(group.members)))
ret_ += "\n╠ จำนวนค้างเชิญ : {}".format(gPending)
ret_ += "\n╠ ลิ้งของกลุ่ม : {}".format(gQr)
ret_ += "\n╠ ลิ้งกลุ่ม👉 : {}".format(gTicket)
ret_ += "\n╚══『★ʄທയஆടஷະ★ 』"
data = {
"type": "flex",
"altText": "กลุ่ม",
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
# {
# "type": "image",
# "url": path,
# "size": "xl"
# },
{
"type": "text",
"text": ret_,
"color": "#000000",
"wrap": True,
"size": "md",
},
]
},
}
}
sendTemplate(to, data)
maxgie.sendImageWithURL(to, path)
elif text.lower() == 'คนในห้อง':
if msg.toType == 2:
group = maxgie.getGroup(to)
ret_ = "รายชื่อสามชิกในกลุ่มนี้\n"
no = 0 + 1
for mem in group.members:
ret_ += "\n{}. {}".format(str(no), str(mem.displayName))
no += 1
ret_ += "\n\nจำนวน {} คน".format(str(len(group.members)))
data = {
"type": "flex",
"altText": "กลุ่ม",
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"hero": {
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(maxgie.getContact(sender).pictureStatus),
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "text",
"text": ret_,
"color": "#000000",
"wrap": True,
"size": "md"
},
]
}
}
}
sendTemplate(to, data)
elif text.lower() == 'กลุ่มทั้งหมด':
groups = maxgie.groups
ret_ = "รายชื่อกลุ่มทั้งหมด :\n"
no = 0 + 1
for gid in groups:
group = maxgie.getGroup(gid)
ret_ += "\n{}. {} | {}".format(str(no), str(group.name), str(len(group.members)))
no += 1
ret_ += "\n\nจำนวน {} กลุ่ม".format(str(len(groups)))
data = {
"type": "flex",
"altText": "Group list",
"contents": {
"type": "bubble",
"styles": {
"body": {
"backgroundColor": '#EE1289'
},
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type":"text",
"text": ret_,
"color": "#000000",
"wrap": True,
"size": "md"
},
]
}
}
}
sendTemplate(to, data)
elif "อัพชื่อ " in text.lower():
if msg._from in admin:
proses = text.split(" ")
string = text.replace(proses[0] + " ","")
profile_A = maxgie.getProfile()
profile_A.displayName = string
maxgie.updateProfile(profile_A)
maxgie.sendMessage(msg.to,"Update to :\n" + string)
print ("Update Name")
elif "อัพตัส " in msg.text.lower():
if msg._from in admin:
proses = text.split(" ")
string = text.replace(proses[0] + " ","")
profile_A = maxgie.getProfile()
profile_A.statusMessage = string
maxgie.updateProfile(profile_A)
maxgie.sendMessage(msg.to,"Succes Update :\n" + string)
print ("Update Bio Succes")
elif text.lower() == "อัพรูปโปร":
sets["changePictureProfile"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งรูปภาพที่จะอัพมาเลยครับ🌟")
elif text.lower() == "อัพรูปกลุ่ม":
if msg.toType == 2:
if to not in sets["changeGroupPicture"]:
sets["changeGroupPicture"].append(to)
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งรูปภาพที่จะอัพมาเลยครับ🌟")
elif text.lower() == 'เพื่อน':
contactlist = maxgie.getAllContactIds()
kontak = maxgie.getContacts(contactlist)
num=1
msgs="☢️รายชื่อเพื่อนทั้งหมด☢️"
for ids in kontak:
msgs+="\n[%i] %s" % (num, ids.displayName)
num=(num+1)
msgs+="\n☢️รายชื่อเพื่อนทั้งหมด☢️\n\nมีดังต่อไปนี้ : %i" % len(kontak)
maxgie.sendMessage(msg.to, msgs)
# if msg.toType == 2:
#
# ginfo = line.getGroup(receiver)
# try:
# gcmid = ginfo.creator.mid
# except:
# gcmid = "Error"
# if settings["lang"] == "JP":
# line.inviteIntoGroup(receiver,[gcmid])
# line.sendMessage(receiver, "พิมพ์คำเชิญกลุ่ม")
# else:
# line.inviteIntoGroup(receiver,[gcmid])
# line.sendMessage(receiver, "ผู้สร้างกลุ่มอยู่ในแล้ว")
#====================================================================
elif msg.text.lower()== "ตั้งติ๊กคนแทค":
sets["messageSticker"]["addStatus"] = True
sets["messageSticker"]["addName"] = "tag"
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งติ๊กที่จะใช้ลงมา🌟")
elif msg.text.lower() == "ลบติ๊กคนแทค":
sets["messageSticker"]["listSticker"]["tag"] = None
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ลบติ๊กคนแทคแล้วครับ🌟")
elif msg.text.lower()== "ตั้งติ๊กคนเข้า":
sets["messageSticker"]["addStatus"] = True
sets["messageSticker"]["addName"] = "wc"
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งติ๊กที่จะใช้ลงมา🌟")
elif msg.text.lower() == "ลบติ๊กคนเข้า":
sets["messageSticker"]["listSticker"]["wc"] = None
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ลบติ๊กคนเข้าแล้วครับ🌟")
elif msg.text.lower()== "ตั้งติ๊กคนออก":
sets["messageSticker"]["addStatus"] = True
sets["messageSticker"]["addName"] = "lv"
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งติ๊กที่จะใช้ลงมา🌟")
elif msg.text.lower() == "ลบติ๊กคนออก":
sets["messageSticker"]["listSticker"]["lv"] = None
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ลบติ๊กคนออกแล้วครับ🌟")
elif msg.text.lower()== "ตั้งติ๊กคนแอด":
sets["messageSticker"]["addStatus"] = True
sets["messageSticker"]["addName"] = "add"
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งติ๊กที่จะใช้ลงมา🌟")
elif msg.text.lower() == "ลบติ๊กคนแอด":
sets["messageSticker"]["listSticker"]["add"] = None
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ลบติ๊กคนแอดแล้วครับ🌟")
elif msg.text.lower() == "ตั้งติ๊กมุดลิ้ง":
sets["messageSticker"]["addStatus"] = True
sets["messageSticker"]["addName"] = "join2"
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ส่งติ๊กที่จะใช้ลงมาครับ🌟")
elif msg.text.lower() == "ลบติ๊กมุดลิ้ง":
sets["messageSticker"]["listSticker"]["join2"] = None
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ลบติ๊กมุดลิ้งแล้ว🌟")
#=====================================================================
elif msg.contentType == 1:
if sets["changePictureProfile"] == True:
path = maxgie.downloadObjectMsg(msg_id)
sets["changePictureProfile"] = False
maxgie.updateProfilePicture(path)
maxgie.unsendMessage(msg_id)
duc1(to, "🌟ทำการเปลี่ยนแล้วครับ🌟")
if op.type == 26:
msg = op.message
text = msg.text
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.toType == 0 or msg.toType == 1 or msg.toType == 2:
if msg.toType == 0:
if sender != maxgie.profile.mid:
to = sender
else:
to = receiver
elif msg.toType == 1:
to = receiver
elif msg.toType == 2:
to = receiver
elif msg.contentType == 7:
if sets["Sticker"] == True:
try:
stk_id = msg.contentMetadata['STKID']
stk_ver = msg.contentMetadata['STKVER']
pkg_id = msg.contentMetadata['STKPKGID']
ret_ = "「 Check Sticker 」\n"
ret_ += "\nSTKID : {}".format(stk_id)
ret_ += "\nSTKPKGID : {}".format(pkg_id)
ret_ += "\nSTKVER : {}".format(stk_ver)
ret_ += "\nLINK : line://shop/detail/{}".format(pkg_id)
print(msg)
maxgie.sendImageWithURL(to, "http://dl.stickershop.line.naver.jp/products/0/0/"+msg.contentMetadata["STKVER"]+"/"+msg.contentMetadata["STKPKGID"]+"/WindowsPhone/stickers/"+msg.contentMetadata["STKID"]+".png")
maxgie.sendMessage(to, str(ret_))
except Exception as error:
maxgie.sendMessage(to, str(error))
if msg.text:
if msg.text.lower().lstrip().rstrip() in wbanlist:
if msg.text not in maxgieMID:
try:
maxgie.kickoutFromGroup(msg.to,[sender])
maxgie.unsendMessage(msg_id)
duc1(to, "🌟บอกแล้วอย่าพิมจุกไปดิครับ🌟")
except Exception as e:
print(e)
if "/ti/g/" in msg.text.lower():
if sets["autoJoinTicket"] == True:
link_re = re.compile('(?:line\:\/|line\.me\/R)\/ti\/g\/([a-zA-Z0-9_-]+)?')
links = link_re.findall(text)
n_links = []
for l in links:
if l not in n_links:
n_links.append(l)
for ticket_id in n_links:
group = maxgie.findGroupByTicket(ticket_id)
maxgie.acceptGroupInvitationByTicket(group.id,ticket_id)
maxgie.sendMessage(group.id,str(tagadd["m"]))
# msgSticker = sets["messageSticker"]["listSticker"]["join2"]
# if msgSticker != None:
# sid = msgSticker["STKID"]
# spkg = msgSticker["STKPKGID"]
# sver = msgSticker["STKVER"]
# sendSticker(group.id, str(sver), str(spkg), str(sid))
maxgie.unsendMessage(msg_id)
duc1(to, "🌟มุดเข้าลิ้งกลุ่ม %s เรียบร้อย 555🌟" % str(group.name))
if msg.contentType == 7:
if sets["messageSticker"]["addStatus"] == True:
name = sets["messageSticker"]["addName"]
if name != None and name in sets["messageSticker"]["listSticker"]:
sets["messageSticker"]["listSticker"][name] = {
"STKID": msg.contentMetadata["STKID"],
"STKVER": msg.contentMetadata["STKVER"],
"STKPKGID": msg.contentMetadata["STKPKGID"]
}
maxgie.sendMessage(to, "Success Sticker " + name + " Done...")
sets["messageSticker"]["addStatus"] = False
sets["messageSticker"]["addName"] = None
if sets["addSticker"]["status"] == True:
stickers[sets["addSticker"]["name"]]["STKVER"] = msg.contentMetadata["STKVER"]
stickers[sets["addSticker"]["name"]]["STKID"] = msg.contentMetadata["STKID"]
stickers[sets["addSticker"]["name"]]["STKPKGID"] = msg.contentMetadata["STKPKGID"]
f = codecs.open('sticker.json','w','utf-8')
json.dump(stickers, f, sort_keys=True, indent=4, ensure_ascii=False)
maxgie.sendMessage(to, "Success Added sticker {}".format(str(sets["addSticker"]["name"])))
sets["addSticker"]["status"] = False
sets["addSticker"]["name"] = ""
elif msg.contentType == 7:
if sets["Sticker"] == True:
stk_id = msg.contentMetadata['STKID']
stk_ver = msg.contentMetadata['STKVER']
pkg_id = msg.contentMetadata['STKPKGID']
ret_ = "╔══[ Sticker Info ]"
ret_ += "\n╠ STICKER ID : {}".format(stk_id)
ret_ += "\n╠ STICKER PACKAGES ID : {}".format(pkg_id)
ret_ += "\n╠ STICKER VERSION : {}".format(stk_ver)
ret_ += "\n╠ STICKER URL : line://shop/detail/{}".format(pkg_id)
ret_ += "\n╚══[ Finish ]"
maxgie.sendMessage(to, str(ret_))
#=====================================================================
if op.type == 22:
if did["join"] == True:
maxgie.leaveRoom(op.param1)
if op.type == 24:
if did["join"] == True:
maxgie.leaveRoom(op.param1)
#========================================================================
if op.type == 25 or op.type == 26:
msg = op.message
text = msg.text
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.toType == 0 or msg.toType == 1 or msg.toType == 2:
if msg.toType == 0:
if sender != maxgie.profile.mid:
to = sender
else:
to = receiver
elif msg.toType == 1:
to = receiver
elif msg.toType == 2:
to = receiver
if msg.contentType == 0:
if text is None:
return
if text.lower() == ".":
duc1(to, "★ʄທയஆടஷະ★ ")
#========================================================================
elif msg.contentType == 7: # Content type is sticker
if settings['Sticker']:
if 'STKOPT' in msg.contentMetadata:
contact = maxgie.getContact(sender)
A = contact.displayName
stk = msg.contentMetadata['STKID']
spk = msg.contentMetadata['STKPKGID']
data={'type':'template','altText': str(A)+' ส่งสติ๊กเกอร์','template':{'type':'image_carousel','columns':[{'imageUrl':'https://stickershop.line-scdn.net/stickershop/v1/sticker/{}/IOS/sticker_animation@2x.png'.format(stk),'action':{'type':'uri','uri':'https://line.me/S/sticker/{}'.format(spk)}}]}}
sendTemplate(to, data)
else:
contact = maxgie.getContact(sender)
A = contact.displayName
stk = msg.contentMetadata['STKID']
spk = msg.contentMetadata['STKPKGID']
data={'type':'template','altText': str(A)+' ส่งสติ๊กเกอร์','template':{'type':'image_carousel','columns':[{'imageUrl':'https://stickershop.line-scdn.net/stickershop/v1/sticker/{}/IOS/sticker@2x.png'.format(stk),'action':{'type':'uri','uri':'https://line.me/S/sticker/{}'.format(spk)}}]}}
sendTemplate(to, data)
if op.type == 26:
print ("[ 26 ] RECEIVE MESSAGE")
msg = op.message
text = str(msg.text)
msg_id = msg.id
receiver = msg.to
sender = msg._from
to = msg.to
cmd = command(text)
isValid = True
setKey = settings["keyCommand"].title()
if settings["setKey"] == False: setKey = ''
if isValid != False:
# elif msg.contentType == 7:
if msg.toType == 0 and sender != maxgieMID: to = sender
else: to = receiver
# elif msg.contentType == 7:
# if "/ti/g/" in msg.text.lower():
# if sets["autoJoinTicket"] == True:
# link_re = re.compile('(?:line\:\/|line\.me\/R)\/ti\/g\/([a-zA-Z0-9_-]+)?')
# links = link_re.findall(text)
# n_links = []
# for l in links:
# if l not in n_links:
# n_links.append(l)
# for ticket_id in n_links:
# group = maxgie.findGroupByTicket(ticket_id)
# maxgie.acceptGroupInvitationByTicket(group.id,ticket_id)
#
# maxgie.sendMessage(to, "เข้าไปสิงในห้องชื่อ %s 👈 เรียบร้อยแล้ว" % str(group.name))
if msg.contentType == 0 and sender not in maxgieMID and msg.toType == 2:
if "MENTION" in list(msg.contentMetadata.keys()) != None:
if tagadd["tags"] == True:
me = maxgie.getContact(sender)
name = re.findall(r'@(\w+)', msg.text)
mention = ast.literal_eval(msg.contentMetadata["MENTION"])
mentionees = mention['MENTIONEES']
for mention in mentionees:
if mention['M'] in maxgieMID:
cover = maxgie.getProfileCoverURL(sender)
pp = me.pictureStatus
profile = "https://profile.line-scdn.net/" + str(pp)
name = me.displayName
status = "\nสเตตัส\n" + me.statusMessage
pk = str(tagadd["tag"])
tz = pytz.timezone("Asia/Jakarta")
timeNow = datetime.now(tz=tz)
van2 = "เวลา:"+ datetime.strftime(timeNow,'%H:%M:%S')
data = {
"type":"flex",
"altText": pk,
"contents":{
"type": "carousel",
"contents": [
{
"type": "bubble",
"styles": {
"header": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#EE1289"},
"body": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#000000"},
"footer": {"backgroundColor": "#000000", "separator": True, "separatorColor": "#EE1289"}
},
"type": "bubble",
"body": {
"contents": [
{
"contents": [
{
"url": profile,
"type": "image"
},
{
"type": "separator",
"color": "#33FF33"
},
{
"url": profile,
"type": "image"
}
],
"type": "box",
"spacing": "md",
"layout": "horizontal"
},
{
"type": "separator",
"color": "#33FF33"
},
{
"contents": [
{
"text": name,
"size": "sm",
"align": "center",
"color": "#33FF33",
"wrap": True,
"weight": "bold",
"type": "text"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
{
"contents": [
{
"contents": [
{
"type": "text",
"text": pk,
"align": "center",
"size": "sm",
"weight": "bold",
"color": "#33FF33",
"wrap": True
}
],
"type": "box",
"layout": "baseline"
}
],
"type": "box",
"layout": "vertical"
}
],
"type": "box",
"spacing": "md",
"layout": "vertical"
},
"footer": {
"type": "box",
"layout": "horizontal",
"spacing": "sm",
"contents": [
{
"text": " เวลา :"+van2 +" \n ★ʄທയஆടஷະ★ ",
"size": "xs",
"margin": "none",
"color": "#33FF33",
"wrap": True,
"weight": "regular",
"type": "text"
}
]
}
}
]
}
}
sendTemplate(to, data)
if op.type == 26:
print ("[ SELF BOT ★ʄທയஆടஷະ★ ] ")
msg = op.message
text = str(msg.text)
msg_id = msg.id
receiver = msg.to
sender = msg._from
to = msg.to
cmd = command(text)
isValid = True
setKey = settings["keyCommand"].title()
if settings["setKey"] == False: setKey = ''
if isValid != False:
if msg.contentType == 0 and sender not in maxgieMID and msg.toType == 2:
if 'MENTION' in msg.contentMetadata.keys() != None:
if sets["tagsticker"] == True:
name = re.findall(r'@(\w+)', msg.text)
mention = ast.literal_eval(msg.contentMetadata['MENTION'])
mentionees = mention['MENTIONEES']
for mention in mentionees:
if maxgieMID in mention["M"]:
# contact = maxgie.getContact(maxgieMID)
# a = contact.displayName
msg = sets["messageSticker"]["listSticker"]["tag"]
if msg != None:
contact = maxgie.getContact(maxgieMID)
a = contact.displayName
stk = msg['STKID']
spk = msg['STKPKGID']
data={'type':'template','altText': str(a)+' ส่งสติ๊กเกอร์','template':{'type':'image_carousel','columns':[{'imageUrl':'https://stickershop.line-scdn.net/stickershop/v1/sticker/{}/IOS/sticker_animation@2x.png'.format(stk),'action':{'type':'uri','uri':'https://line.me/S/sticker/{}'.format(spk)}}]}}
sendTemplate(to, data)
else:
contact = maxgie.getContact(maxgieMID)
a = contact.displayName
stk = msg['STKID']
spk = msg['STKPKGID']
data={'type':'template','altText': str(a)+'ส่งสติ๊กเกอร์','template':{'type':'image_carousel','columns':[{'imageUrl':'https://stickershop.line-scdn.net/stickershop/v1/sticker/{}/IOS/sticker@2x.png'.format(stk),'action':{'type':'uri','uri':'https://line.me/S/sticker/{}'.format(spk)}}]}}
sendTemplate(to, data)
#==============================================================================#
if op.type == 19:
if maxgieMID in op.param3:
apalo["Talkblacklist"][op.param2] = True
if op.type == 26 or op.type == 25:
msg = op.message
sender = msg._from
try:
if mc["wr"][str(msg.text)]:
maxgie.sendMessage(msg.to,mc["wr"][str(msg.text)])
except:
pass
if op.type == 25:
msg = op.message
text = msg.text
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.toType == 0 or msg.toType == 1 or msg.toType == 2:
if msg.toType == 0:
if sender != maxgie.profile.mid:
to = sender
else:
to = receiver
elif msg.toType == 1:
to = receiver
elif msg.toType == 2:
to = receiver
if msg.contentType == 0:
if text is None:
return
if msg.text.lower().startswith("แปรงคท "):
delcmd = msg.text.split(" ")
getx = msg.text.replace(delcmd[0] + " ","")
maxgie.sendContact(msg.to,str(getx))
if msg.text.startswith("ตั้งapi "):
try:
delcmd = msg.text.split(" ")
get = msg.text.replace(delcmd[0]+" ","").split(";;")
kw = get[0]
ans = get[1]
mc["wr"][kw] = ans
f=codecs.open('sb.json','w','utf-8')
json.dump(mc, f, sort_keys=True, indent=4, ensure_ascii=False)
maxgie.sendMessage(msg.to,"คีย์เวิร์ด: " + str(kw) + "\nตอบกลับ: "+ str(ans))
except Exception as Error:
print(Error)
if msg.text.startswith("ล้างapi "):
try:
delcmd = msg.text.split(" ")
getx = msg.text.replace(delcmd[0] + " ","")
del mc["wr"][getx]
maxgie.sendMessage(msg.to, "คำ " + str(getx) + " ล้างแล้ว")
f=codecs.open('sb.json','w','utf-8')
json.dump(mc, f, sort_keys=True, indent=4, ensure_ascii=False)
except Exception as Error:
print(Error)
if msg.text.lower() == "เชคapi":
lisk = "[ คำตอบโต้ทั้งหมด ]\n"
for i in mc["wr"]:
lisk+="\nคีย์เวิร์ด: "+str(i)+"\nตอบโต้: "+str(mc["wr"][i])+"\n"
lisk+="\nวิธีล้างapi >\\<\nล้างapi ตามด้วยคำที่จะล้าง"
data = {"type": "text","text": "{}".format(lisk),"sentBy": {"label": "list API", "iconUrl": "https://obs.line-scdn.net/{}".format(maxgie.getContact(maxgieMID).pictureStatus),"linkUrl": "line://nv/profilePopup/mid=ue846139824ec13384cbb921b460323ac"}}
sendTemplate(to,data)
#==============================================================================#
#==============================================================================#
if op.type == 25:
msg = op.message
text = msg.text
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.toType == 0:
if sender != maxgie.profile.mid:
to = sender
else:
to = receiver
else:
to = receiver
#========================================================================
if msg.contentType == 7:
if sets["messageSticker"]["addStatus"] == True:
name = sets["messageSticker"]["addName"]
if name != None and name in sets["messageSticker"]["listSticker"]:
sets["messageSticker"]["listSticker"][name] = {
"STKID": msg.contentMetadata["STKID"],
"STKVER": msg.contentMetadata["STKVER"],
"STKPKGID": msg.contentMetadata["STKPKGID"]
}
maxgie.sendMessage(to, "Success Added " + name)
sets["messageSticker"]["addStatus"] = False
sets["messageSticker"]["addName"] = None
if sets["addSticker"]["status"] == True:
stickers[sets["addSticker"]["name"]]["STKVER"] = msg.contentMetadata["STKVER"]
stickers[sets["addSticker"]["name"]]["STKID"] = msg.contentMetadata["STKID"]
stickers[sets["addSticker"]["name"]]["STKPKGID"] = msg.contentMetadata["STKPKGID"]
f = codecs.open('sticker.json','w','utf-8')
json.dump(stickers, f, sort_keys=True, indent=4, ensure_ascii=False)
line.sendMessage(to, "Success Added sticker {}".format(str(sets["addSticker"]["name"])))
sets["addSticker"]["status"] = False
sets["addSticker"]["name"] = ""
if op.type == 26:
print ("[ 26 ] RECEIVE MESSAGE")
msg = op.message
text = str(msg.text)
msg_id = msg.id
receiver = msg.to
sender = msg._from
to = msg.to
cmd = command(text)
isValid = True
setKey = settings["keyCommand"].title()
if settings["setKey"] == False: setKey = ''
if isValid != False:
if msg.toType == 0 and sender != maxgieMID: to = sender
else: to = receiver
if msg.contentType == 0 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
if msg.location != None:
unsendmsg = time.time()
msg_dict[msg.id] = {"location":msg.location,"from":msg._from,"waktu":unsendmsg}
else:
unsendmsg = time.time()
msg_dict[msg.id] = {"text":msg.text,"from":msg._from,"waktu":unsendmsg}
except Exception as e:
print (e)
if msg.contentType == 1 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
unsendmsg1 = time.time()
path = maxgie.downloadObjectMsg(msg_id)
msg_dict[msg.id] = {"from":msg._from,"image":path,"waktu":unsendmsg1}
except Exception as e:
print (e)
if msg.contentType == 2 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
unsendmsg2 = time.time()
path = maxgie.downloadObjectMsg(msg_id)
msg_dict[msg.id] = {"from":msg._from,"video":path,"waktu":unsendmsg2}
except Exception as e:
print (e)
if msg.contentType == 3 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
unsendmsg3 = time.time()
path = maxgie.downloadObjectMsg(msg_id)
msg_dict[msg.id] = {"from":msg._from,"audio":path,"waktu":unsendmsg3}
except Exception as e:
print (e)
if msg.contentType == 7 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
unsendmsg7 = time.time()
sticker = msg.contentMetadata["STKID"]
link = "http://dl.stickershop.line.naver.jp/stickershop/v1/sticker/{}/android/sticker.png".format(sticker)
msg_dict[msg.id] = {"from":msg._from,"sticker":link,"waktu":unsendmsg7}
except Exception as e:
print (e)
if msg.contentType == 13 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
unsendmsg13 = time.time()
mid = msg.contentMetadata["mid"]
msg_dict[msg.id] = {"from":msg._from,"mid":mid,"waktu":unsendmsg13}
except Exception as e:
print (e)
if msg.contentType == 14 and to not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
try:
unsendmsg14 = time.time()
path = maxgie.downloadObjectMsg(msg_id)
msg_dict[msg.id] = {"from":msg._from,"file":path,"waktu":unsendmsg14}
except Exception as e:
print (e)
if op.type == 65:
if op.param1 not in chatbot["botMute"]:
if settings["unsendMessage"] == True:
at = op.param1
msg_id = op.param2
if msg_id in msg_dict:
ah = time.time()
ikkeh = maxgie.getContact(msg_dict[msg_id]["from"])
if "text" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nText :\n{}".format(msg_dict[msg_id]["text"])
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
del msg_dict[msg_id]
else:
if "image" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nImage :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendImage(at, msg_dict[msg_id]["image"])
del msg_dict[msg_id]
else:
if "video" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nVideo :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendVideo(at, msg_dict[msg_id]["video"])
del msg_dict[msg_id]
else:
if "audio" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nAudio :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendAudio(at, msg_dict[msg_id]["audio"])
del msg_dict[msg_id]
else:
if "sticker" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nSticker :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendImageWithURL(at, msg_dict[msg_id]["sticker"])
del msg_dict[msg_id]
else:
if "mid" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nContact :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendContact(at, msg_dict[msg_id]["mid"])
del msg_dict[msg_id]
else:
if "location" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nLocation :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendLocation(at, msg_dict[msg_id]["location"])
del msg_dict[msg_id]
else:
if "file" in msg_dict[msg_id]:
waktumsg = ah - msg_dict[msg_id]["waktu"]
waktumsg = format_timespan(waktumsg)
rat_ = "\nSend At :\n{} ago".format(waktumsg)
rat_ += "\nFile :\nBelow"
sendMentionFooter(at, ikkeh.mid, "# Resend Message\n\nMaker :\n", str(rat_))
maxgie.sendFile(at, msg_dict[msg_id]["file"])
del msg_dict[msg_id]
else:
print ("[ ERROR ] Terjadi Error Karena Tidak Ada Data Chat Tersebut~")
#-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
if op.type in [26]:
msg = op.message
text = msg.text
msg_id = msg.id
receiver = msg.to
sender = msg._from
if msg.toType == 0 or msg.toType == 2:
if msg.toType == 0:
to = receiver
elif msg.toType == 2:
to = receiver
if msg.contentType == 0:
if text is None:
return
else:
if receiver in temp_flood:
if temp_flood[receiver]["expire"] == True:
if msg.text == "/open":
temp_flood[receiver]["expire"] = False
temp_flood[receiver]["time"] = time.time()
maxgie.sendMessage(to,"Bot Actived")
return
elif time.time() - temp_flood[receiver]["time"] <= 5:
temp_flood[receiver]["flood"] += 1
if temp_flood[receiver]["flood"] >= 200:
temp_flood[receiver]["flood"] = 0
temp_flood[receiver]["expire"] = True
maxgie.unsendMessage(msg_id)
duc1(to, "🌟มีคนส่งข้อความเกิน200ระบบขอออกอัติโนมัติ🌟")
maxgie.leaveGroup(to)
else:
temp_flood[receiver]["flood"] = 0
temp_flood[receiver]["time"] = time.time()
else:
temp_flood[receiver] = {
"time": time.time(),
"flood": 0,
"expire": False
}
#-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
if op.type == 55:
print ("[ 55 ] NOTIFIED READ MESSAGE")
NOTIFIED_READ_MESSAGE(op)
except Exception as error:
logError(error)
#==============================================================================#
backupData()
except Exception as error:
logError(error)
traceback.print_tb(error.__traceback__)
def run():
while True:
try:
ops = maxgiePoll.singleTrace(count=50)
if ops != None:
for op in ops:
loop.run_until_complete(maxgieBot(op))
maxgiePoll.setRevision(op.revision)
except Exception as e:
logError(e)
if __name__ == "__main__":
run()
| [
"noreply@github.com"
] | noreply@github.com |
d825976a680205df6ff714cd107c46aa4117496c | 7738a8dfdc16ba4cd99c85bd07499af5f3916115 | /02_strings.py | d4d3142fa0388329d19284c7d1662175d2c0cc75 | [
"MIT"
] | permissive | BijuAle/PythonBasics | b7575e6173005178cdc3887968ea94453a3e423a | b7c4522114d8bc5bd2b7ddf7ea0179d9078dee35 | refs/heads/master | 2021-07-25T06:57:45.105139 | 2020-05-12T10:15:27 | 2020-05-12T10:15:27 | 171,409,391 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,959 | py | # Copyright (c) 2019 BIJU ALE
# Author: BIJU ALE (github.com/BijuAle)
# License: MIT License
# 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, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
# Print as raw strin#G
print(r'C:/net')
# Escaping chars
print("This is the double quote symbol - \"\"")
name = "Roger Penrose"
# Print value of variable firstprint(name 5 times.
print((name + '\n') * 3)
# Print 1st letter from a string
print(name[0])
# Print 1st letter from a string from right
print(name[-1])
# Print letters from of a string from 2nd to 3rd pos
print(name[2:4])
# Print letters of a string from begining to 4th pos
print(name[:4])
# Print letters of a string from 4th pos to last pos
print(name[4:])
# Print length of a string
print(len(name))
# Reverse string
name = "George"
name = name[::-1]
print(name)
# Strip unwanted chars
name = " George "
name2 = "George///"
name = name.strip() # prints "George"
name2 = name2.strip("/") # prints "George"
print(name)
print(name2)
| [
"bijuale@hotmail.com"
] | bijuale@hotmail.com |
c6da96e57e9679a40dedeb0a219a652c55337d16 | c224275ff2ff634abcd072c3aa94b68bb5801944 | /abcli/commands/test/__init__.py | d6e8574dda0ba95f58cd090bd9e929d370a2461e | [
"MIT"
] | permissive | john5f35/abcli | 5dc6d07db5a898151848ac3defc2dbe3eb049203 | fa696cf6bcc2f26fbd754e01952553ce09e5e006 | refs/heads/master | 2021-06-28T05:04:20.806246 | 2020-02-03T07:00:23 | 2020-02-03T07:00:23 | 216,186,047 | 3 | 1 | MIT | 2021-04-20T18:47:12 | 2019-10-19T10:08:29 | Python | UTF-8 | Python | false | false | 775 | py | from pathlib import Path
import json
from typing import *
from click.testing import Result, CliRunner
from pony.orm import Database
from abcli.main import cli
from abcli.model import init_orm
def setup_db(tmp_path: Path):
tmpfile = tmp_path / 'tmp.db'
db = Database(provider='sqlite', filename=str(tmpfile), create_db=True)
init_orm(db)
return db, tmpfile
def invoke_cmd(db_file: Path, args: List[str]) -> Result:
config_file = db_file.parent / 'config.json'
with config_file.open('w', encoding='utf-8') as fp:
json.dump({
'db': {
'provider': 'sqlite',
'filename': str(db_file)
}
}, fp, indent=2)
return CliRunner().invoke(cli, ['--config', str(config_file)] + args)
| [
"john.u5f35@gmail.com"
] | john.u5f35@gmail.com |
387f51e0f8907ab9ea32d68006e9dec8eae78b6c | 7d9bf6444ef321d3b8264f814fc52036c9373805 | /ba_data_paths/__init__.py | 19a5403cda72cfbf2efcef05a4c4be3112cc29da | [
"Apache-2.0"
] | permissive | knu2xs/ba_data_paths | ef5f34d1f054bed2beddd2eb0461c981ade7a4db | c161feec529882a2edfb2ed88b8a89cf07ec3243 | refs/heads/master | 2020-07-09T21:12:17.956351 | 2019-10-14T19:59:42 | 2019-10-14T19:59:42 | 204,085,377 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 42 | py | from ba_data_paths.ba_data import ba_data
| [
"knu2xs@gmail.com"
] | knu2xs@gmail.com |
56efb9441995eb2fda459e9d9f9ae46429b1659e | ba560dfeb43f02020057cc2f7656728c99243df5 | /Cursos/Services/ListarCurso.py | aaddf05386ce21a5beb25fa6298e9555c059d5e7 | [] | no_license | fabiana-carneiro/agencia-emprego | 5d5746546809b479edb1d33e29d2f0ce7e657b91 | 9cdb1e7879f30df37e79a0011a6450cbd4d69555 | refs/heads/master | 2021-07-16T09:18:08.116486 | 2020-05-19T04:57:48 | 2020-05-19T04:57:48 | 157,045,455 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 216 | py | #################################################
# Web API Cursos
# Listagem de Cursos
#################################################
from Cursos.Models.Cursos import Cursos
def ListarCurso():
return Cursos | [
"fabiana.lima149@gmail.com"
] | fabiana.lima149@gmail.com |
877d8cc7e9fae6f765ffa10ecee924287a1c6710 | de9a7bece474db741dab82a1fe1ff2b11e934767 | /POMBU/V_estimators/__init__.py | dc2e99d14456be5107c9724fff1f591601c35131 | [] | no_license | GoingMyWay/RL-POMBU | 9c54532ac7809b5fa31464f94f1873464c64b8c6 | dbd8a9eee8cb0ece6b394921dc5fc6eaf14ac948 | refs/heads/master | 2022-03-20T15:31:53.168345 | 2019-12-19T03:00:36 | 2019-12-19T03:00:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 525 | py | import tensorflow as tf
import warnings
class VEstimator:
def __init__(self, env):
self.env = env
self.state_space = self.env.observation_space
def tf_value(self, state_input):
warnings.warn("Please rewrite the tf_value funciton")
return None, tf.placeholder(dtype=tf.float32, shape=(None,))
def tf_uncertainty(self, state_input, Vs, V):
warnings.warn("Please rewrite the tf_uncertainty funciton")
return None, tf.placeholder(dtype=tf.float32, shape=(None,))
| [
"qizhou@miralab.ai"
] | qizhou@miralab.ai |
76688249427204abd0d2879d1ba29284a2768925 | 1a8a7000bc8bb3abcd51d33dfbfe952e89444313 | /arodnap/wsgi.py | 0d1921f88fc89c2ed08b93b7c4019216708f804c | [] | no_license | RashimNarayanTiku/arodnap | 5bf996f92aea28dc32eaef2bf2d208c2ee59a477 | 6726760058ef9d842b867a07078ab467172d6f5a | refs/heads/main | 2023-02-28T19:04:54.172659 | 2021-02-10T17:07:36 | 2021-02-10T17:07:36 | 336,744,352 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | """
WSGI config for arodnap project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'arodnap.settings')
application = get_wsgi_application()
| [
"rnt11223344@tutanota.com"
] | rnt11223344@tutanota.com |
b87d3c6c3e1f49c4c0cfbc2f7d0ecab4016fc060 | fb2cc597f319380d228fc15c4008760a82203687 | /var/spack/repos/builtin/packages/py-linear-operator/package.py | 8133edf5144a33322dd069c679c2a2a0f9be91e9 | [
"Apache-2.0",
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"LGPL-2.1-only"
] | permissive | JayjeetAtGithub/spack | c41b5debcbe139abb2eab626210505b7f930d637 | 6c2df00443a2cd092446c7d84431ae37e64e4296 | refs/heads/develop | 2023-03-21T02:35:58.391230 | 2022-10-08T22:57:45 | 2022-10-08T22:57:45 | 205,764,532 | 0 | 0 | MIT | 2019-09-02T02:44:48 | 2019-09-02T02:44:47 | null | UTF-8 | Python | false | false | 888 | py | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class PyLinearOperator(PythonPackage):
"""A linear operator implementation, primarily designed for finite-dimensional
positive definite operators (i.e. kernel matrices)."""
homepage = "https://github.com/cornellius-gp/linear_operator/"
pypi = "linear_operator/linear_operator-0.1.1.tar.gz"
version("0.1.1", sha256="81adc1aea9e98f3c4f07f5608eb77b689bc61793e9beebfea82155e9237bf1be")
depends_on("python@3.8:", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-setuptools-scm", type="build")
depends_on("py-torch@1.11:", type=("build", "run"))
depends_on("py-scipy", type=("build", "run"))
| [
"noreply@github.com"
] | noreply@github.com |
ffcc1b9e6e1ec606918e23f06f4ec02ac7316151 | a8a661a433e8539468d1763b2971120c5c72e708 | /mysite/blog/views.py | 32f6b5fc67a8723e281fb3d354b07150552d74ba | [] | no_license | dynaanywhere/workingapp | 0db9855b1c80a93b06e04813c2b794c4d17a9c0d | dd3ee42e0df2870362baf7ceacfc24d050f8004d | refs/heads/master | 2022-07-14T16:26:35.128584 | 2020-05-19T16:11:44 | 2020-05-19T16:11:44 | 257,063,805 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 314 | py | from django.views import generic
from .models import Post
class PostList(generic.ListView):
queryset = Post.objects.filter(status=1).order_by('-created_on')
template_name = 'index.html'
paginate_by = 5
class PostDetail(generic.DetailView):
model = Post
template_name = 'post_detail.html'
| [
"seunogidan@gmail.com"
] | seunogidan@gmail.com |
1d8790c8a85b8e0720062a80ef94772cd8f97820 | 27c1356be8b459f19e3daebc049a5753d627a58f | /imageout_f.py | 5cc2b3ea8e039d15d8545f5642fea7c4c84022aa | [] | no_license | kwandongSong/flower | ba187e5c01ff677378ef27f3a5e07d4cfaeaca7d | 0af2b41187d864dbf42210dbaa51c23148741dba | refs/heads/master | 2020-04-05T14:52:19.443738 | 2018-11-11T00:17:52 | 2018-11-11T00:17:52 | 156,944,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,445 | py | import serial
import pygame
import threading
import time
import datetime
WHITE = (255,255,255) # white RGB
pad_width = 600
pad_height = 400
def gainsensorval():
ser = serial.Serial('/dev/ttyACM0', 9600, timeout=1)
sumoutput = ser.readline()
output= str(sumoutput)
output= output.replace("b'","")
output= output.replace("\\r\\n'","")
finaldata= output.split("*")
temsenval =float(finaldata[0])
soilsenval =int(finaldata[1])
print(temsenval)
print(soilsenval)
def runGame():
global gamepad, clock
x=pad_width*0.05
y=pad_height*0.8
x_change=5
y_change=0
crashed = False
while not crashed:
now=datetime.datetime.now()
nowhour= now.strftime('%M')
nowsec= now.strftime('%S')
nowhour=int(nowhour)
nowsec=int(nowsec)
# if nowhour%3 ==0 and nowsec == 0:
gainsensorval()
for event in pygame.event.get():
if event.type == pygame.QUIT:
crashed = True
if x>360:
x_change=-5
elif x<10:
x_change=5
x += x_change
gamepad.fill(WHITE)
flower(x,y)
pygame.display.update()
clock.tick(60)
pygame.quit()
def initGame():
global gamepad, clock, flowere # use global var
pygame.init() # lib init
gamepad = pygame.display.set_mode((pad_width,pad_height)) # display use
pygame.display.set_caption('Smart flower') # name
flowere = pygame.image.load('pika.png')
clock = pygame.time.Clock() # set frame
runGame()
def flower(x,y):
global gamepad, flowere
gamepad.blit(flowere,(x,y))
initGame()
| [
"kdh4714@naver.com"
] | kdh4714@naver.com |
140475678049842dcc7a9513455b15a220182ac9 | fe8d49331e73fe89be9195bf748159830d2c3622 | /zerver/views/drafts.py | 47b5c6fa242f0d66e718fb84c1ffb31a7fce178b | [
"Apache-2.0",
"LicenseRef-scancode-free-unknown"
] | permissive | lizzzp1/zulip | 13e1a4428b5ed6d9cdc06cb291b126ee127a03e8 | 4e8067aadc7d5a4b2644e383898c5c731740ffd5 | refs/heads/master | 2022-12-13T23:44:52.351757 | 2020-09-12T19:04:24 | 2020-09-12T19:04:24 | 295,025,435 | 1 | 0 | Apache-2.0 | 2020-09-12T21:00:35 | 2020-09-12T21:00:34 | null | UTF-8 | Python | false | false | 5,766 | py | import time
from typing import Any, Dict, List, Set
from django.core.exceptions import ValidationError
from django.http import HttpRequest, HttpResponse
from django.utils.translation import ugettext as _
from zerver.lib.actions import recipient_for_user_profiles
from zerver.lib.addressee import get_user_profiles_by_ids
from zerver.lib.exceptions import JsonableError
from zerver.lib.message import truncate_body, truncate_topic
from zerver.lib.request import REQ, has_request_variables
from zerver.lib.response import json_error, json_success
from zerver.lib.streams import access_stream_by_id
from zerver.lib.timestamp import timestamp_to_datetime
from zerver.lib.validator import (
check_dict_only,
check_float,
check_int,
check_list,
check_required_string,
check_string,
check_string_in,
check_union,
)
from zerver.models import Draft, UserProfile
VALID_DRAFT_TYPES: Set[str] = {"", "private", "stream"}
# A validator to verify if the structure (syntax) of a dictionary
# meets the requirements to be a draft dictionary:
draft_dict_validator = check_dict_only(
required_keys=[
("type", check_string_in(VALID_DRAFT_TYPES)),
("to", check_list(check_int)), # The ID of the stream to send to, or a list of user IDs.
("topic", check_string), # This string can simply be empty for private type messages.
("content", check_required_string),
],
optional_keys=[
("timestamp", check_union([check_int, check_float])), # A Unix timestamp.
]
)
def further_validated_draft_dict(draft_dict: Dict[str, Any],
user_profile: UserProfile) -> Dict[str, Any]:
""" Take a draft_dict that was already validated by draft_dict_validator then
further sanitize, validate, and transform it. Ultimately return this "further
validated" draft dict. It will have a slightly different set of keys the values
for which can be used to directly create a Draft object. """
content = truncate_body(draft_dict["content"])
if "\x00" in content:
raise JsonableError(_("Content must not contain null bytes"))
timestamp = draft_dict.get("timestamp", time.time())
timestamp = round(timestamp, 6)
if timestamp < 0:
# While it's not exactly an invalid timestamp, it's not something
# we want to allow either.
raise JsonableError(_("Timestamp must not be negative."))
last_edit_time = timestamp_to_datetime(timestamp)
topic = ""
recipient = None
to = draft_dict["to"]
if draft_dict["type"] == "stream":
topic = truncate_topic(draft_dict["topic"])
if "\x00" in topic:
raise JsonableError(_("Topic must not contain null bytes"))
if len(to) != 1:
raise JsonableError(_("Must specify exactly 1 stream ID for stream messages"))
stream, recipient, sub = access_stream_by_id(user_profile, to[0])
elif draft_dict["type"] == "private" and len(to) != 0:
to_users = get_user_profiles_by_ids(set(to), user_profile.realm)
try:
recipient = recipient_for_user_profiles(to_users, False, None, user_profile)
except ValidationError as e: # nocoverage
raise JsonableError(e.messages[0])
return {
"recipient": recipient,
"topic": topic,
"content": content,
"last_edit_time": last_edit_time,
}
def fetch_drafts(request: HttpRequest, user_profile: UserProfile) -> HttpResponse:
user_drafts = Draft.objects.filter(user_profile=user_profile).order_by("last_edit_time")
draft_dicts = {str(draft.id): draft.to_dict() for draft in user_drafts}
return json_success({"count": user_drafts.count(), "drafts": draft_dicts})
@has_request_variables
def create_drafts(request: HttpRequest, user_profile: UserProfile,
draft_dicts: List[Dict[str, Any]]=REQ("drafts",
validator=check_list(draft_dict_validator)),
) -> HttpResponse:
draft_objects = []
for draft_dict in draft_dicts:
valid_draft_dict = further_validated_draft_dict(draft_dict, user_profile)
draft_objects.append(Draft(
user_profile=user_profile,
recipient=valid_draft_dict["recipient"],
topic=valid_draft_dict["topic"],
content=valid_draft_dict["content"],
last_edit_time=valid_draft_dict["last_edit_time"],
))
created_draft_objects = Draft.objects.bulk_create(draft_objects)
draft_ids = [draft_object.id for draft_object in created_draft_objects]
return json_success({"ids": draft_ids})
@has_request_variables
def edit_draft(request: HttpRequest, user_profile: UserProfile, draft_id: int,
draft_dict: Dict[str, Any]=REQ("draft", validator=draft_dict_validator),
) -> HttpResponse:
try:
draft_object = Draft.objects.get(id=draft_id, user_profile=user_profile)
except Draft.DoesNotExist:
return json_error(_("Draft does not exist"), status=404)
valid_draft_dict = further_validated_draft_dict(draft_dict, user_profile)
draft_object.content = valid_draft_dict["content"]
draft_object.topic = valid_draft_dict["topic"]
draft_object.recipient = valid_draft_dict["recipient"]
draft_object.last_edit_time = valid_draft_dict["last_edit_time"]
draft_object.save()
return json_success()
def delete_draft(request: HttpRequest, user_profile: UserProfile, draft_id: int) -> HttpResponse:
try:
draft_object = Draft.objects.get(id=draft_id, user_profile=user_profile)
except Draft.DoesNotExist:
return json_error(_("Draft does not exist"), status=404)
draft_object.delete()
return json_success()
| [
"tabbott@zulip.com"
] | tabbott@zulip.com |
b1c806080769dbbd96a828a4f775b7cd730fbd53 | 8eeef7742573a8b671648d94e448d5614272c5d6 | /core2web/week2/day7/printNumber.py | 33b2619d33b2dfbf88f662253e9577e0f68a5cc6 | [] | no_license | damodardikonda/Python-Basics | 582d18bc9d003d90b1a1930c68b9b39a85778ea7 | fd239722fc6e2a7a02dae3e5798a5f1172f40378 | refs/heads/master | 2023-01-28T16:22:19.153514 | 2020-12-11T06:36:49 | 2020-12-11T06:36:49 | 270,733,918 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 159 | py | """
Program 1: Write a program that accepts an integer from user and print it.
Input: 11
Output: 11
"""
v=(int)(input("enter the number"))
print("output",v)
| [
"damodar2dikonda@gmail.com"
] | damodar2dikonda@gmail.com |
d60ba409026c0f28c8df428740be38b2c140b052 | c3b75410ee83053ac53e7229708bc6c72ad47d67 | /프로그래밍기초/트리재귀코드들.py | d5862ca369f002acef1f496ab20e9acc4ce52c5c | [] | no_license | sooyeon9/python | a60a0b3f3ec9327db22f5a14136c5cf6e3d8b6f7 | bf5f00ed9cd8499c83ad9dbf114a7041e3943dfd | refs/heads/master | 2021-04-09T10:47:50.062357 | 2018-03-16T08:00:25 | 2018-03-16T08:00:25 | 125,483,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,659 | py | # 트리재귀 모범코드들
# Tree Recursion
# Fibonacci Sequence
def fib(n):
if n > 1:
return fib(n-1) + fib(n-2)
else:
return n
def fibtail(n):
def loop(k,old,new):
if counter < n:
return loop(k+1,new,old+new)
else: # k == n
return new
return loop(1,1,0)
def fibwhile(n):
k = 1
old, new = 0, 1
while k < n:
k += 1
old, new = new, old+new # �룞�떆 吏��젙
# temp = new
# new = old + new
# old = temp
return new
def fibfor(n):
old, new = 0, 1
for _ in range(2,n+1):
old, new = new, old+new
return new
def fibseq(n):
fibs = [0,1]
for k in range(2,n+1):
fib = fibs[k-1]+fibs[k-2]
fibs.append(fib)
return fibs
def fib2(n):
return fibseq(n).pop()
# Combination
def comb(n,r):
if not (r == 0 or r == n):
return comb(n-1,r-1) + comb(n-1,r)
else:
return 1
def pascal(n,r):
table = [[]]*(n-r+1)
table[0] = [1]*(r+1)
for i in range(1,n-r+1):
table[i] = [1]
for i in range(1,n-r+1):
for j in range(1,r+1):
newvalue = table[i][j-1] + table[i-1][j]
table[i].append(newvalue)
return table[n-r][r]
# Tower of Hanoi
# assume n >= 0
def tower(n,src,dst,tmp) :
if n > 0 :
tower(n-1,src,tmp,dst)
print("move from", src, "to", dst)
tower(n-1,tmp,dst,src)
else :
pass
# Calulation table
def gugudan1():
for i in range(2,10):
for j in range(1,10):
if j % 3 == 0:
print(i,"x",j,"=",str(i*j).rjust(2))
else:
print(i,"x",j,"=",str(i*j).rjust(2),end=" ")
if i != 9: print()
def gugudan2():
for k in [2,6]:
for i in range(1,10):
for j in range(k,k+4):
print(j,"x",i,"=",str(j*i).rjust(2),end=" ")
print()
if k == 2: print()
# Sliding Puzzle
def get_number():
num = input("Type the number you want to move (Type 0 to quit): ")
while not (num.isdigit() and 0 <= int(num) <= 15):
num = input("Type the number you want to move (Type 0 to quit): ")
return int(num)
def create_init_board():
return [[15, 14, 13, 12], [11, 10, 9, 8], [7, 6, 5, 4], [3, 2, 1, 0]]
def set_goal_board():
return [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 0]]
def print_board(board):
for row in board:
for item in row:
if item == 0:
print(" ", end=" ")
elif 10 <= item <= 15:
print(item,end=" ")
else:
print(str(item).rjust(2),end=" ")
print()
def find_position(num,board):
for i in range(len(board)):
for j in range(len(board)):
if num == board[i][j]:
return (i,j)
def move(pos,opened,board):
(x,y) = pos
if opened == (x-1,y) or opened == (x+1,y) or \
opened == (x,y-1) or opened == (x,y+1):
board[opened[0]][opened[1]] = board[x][y]
board[x][y] = 0
return (pos,board)
else:
print("Can't move! Try again.")
return (opened,board)
def sliding_puzzle():
board = create_init_board()
goal = set_goal_board()
opened = (3,3)
while True:
print_board(board)
if board == goal:
print("Congratulations!")
break
num = get_number() # get number between 0 and 15
if num == 0:
break
pos = find_position(num,board)
(opened,board) = move(pos,opened,board)
print("Please come again.")
| [
"sooyean9@naver.com"
] | sooyean9@naver.com |
4226a33df187e6cbc3842c4c6d0f777e82bd2e15 | 3ab618da41c4ad11cbfba8de1ce0961dc0affcaa | /cnavg/preprocess/segmentCNVs.py | b7dcfaea4c2427e19446d4220a7c382788461324 | [
"BSD-3-Clause"
] | permissive | dzerbino/cn-avg | 35ca23c225b548258ab07de64971cf7800247ae8 | 884e02aa8ba8ca643485d9969999be975a71b1df | refs/heads/master | 2021-01-21T21:48:53.438206 | 2015-09-11T08:09:45 | 2015-09-11T08:09:45 | 6,695,890 | 3 | 3 | null | null | null | null | UTF-8 | Python | false | false | 5,878 | py | # Copyright (c) 2012, Daniel Zerbino
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# (1) Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# (2) Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in
# the documentation and/or other materials provided with the
# distribution.
#
# (3)The name of the author may not be used to
# endorse or promote products derived from this software without
# specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
# IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#!/usr/bin/env python
"""Smooth out brute CNV calls"""
import sys
import cbs.cbs as cbs
from cnv import CNV
def _mergeCNVs_Forward(A, B):
for i in range(A.ploidy()):
A.val[i] = (A.val[i] * A.length() + B.val[i] * B.length() / 2) / (A.length() + B.length() / 2)
assert A.val > 0
if B.softStart is not None:
A.finish = (B.softStart + B.finish) / 2
else:
A.finish = B.finish
if B.softFinish is not None:
A.softFinish = (B.start + B.softFinish) / 2
else:
A.softFinish = B.start
A.numMarks += B.numMarks / 2
def _mergeCNVs_Backward(A, B):
for i in range(A.ploidy()):
B.val[i] = (A.val[i] * A.length() / 2 + B.val[i] * B.length()) / (A.length() / 2 + B.length())
assert B.val > 0
if A.softFinish is not None:
B.start = (A.start + A.softFinish) / 2
else:
B.start = A.start
if A.softStart is not None:
B.softFinish = (A.softStart + A.finish) / 2
else:
B.softFinish = A.finish
B.numMarks += A.numMarks / 2
def _filterCNVs(cnvs):
filtered = []
for index in range(len(cnvs)):
cnv = cnvs[index]
if cnv.numMarks < 5:
if len(filtered) > 0:
valsA = sum(filtered[-1].val)
else:
valsA = 0
valsB = sum(cnv.val)
#if len(filtered) > 0 and filtered[-1].chr == cnv.chr and filtered[-1].ploidy() == cnv.ploidy() and valsB > 0 and valsA / float(valsB) > 0.5 and valsA / float(valsB) < 2:
if len(filtered) > 0 and filtered[-1].chr == cnv.chr:
_mergeCNVs_Forward(filtered[-1], cnv)
else:
filtered += [cnv]
if index + 1 < len(cnvs) and cnvs[index+1].chr == cnv.chr and cnv.ploidy() == cnvs[index+1].ploidy():
_mergeCNVs_Backward(cnv, cnvs[index+1])
else:
filtered += [cnv]
return filtered
def _glueCNV(cnvs, index):
prev = cnvs[index-1]
cnv = cnvs[index]
if prev.chr == cnv.chr and prev.finish < cnv.start and prev.finish > cnv.start - 50:
prev.finish = cnv.start
def _glueCNVs(cnvs):
map(lambda X: _glueCNV(cnvs, X), range(1, len(cnvs)))
def _computeBorderMargins(segments, sortedCNVs):
print "Computing CNV border margins"
cnvindex = 0
for segment in segments:
while len(sortedCNVs) > 0 and sortedCNVs[cnvindex] < segment:
cnvindex += 1
assert cnvindex < len(sortedCNVs)
if cnvindex > 0 and sortedCNVs[cnvindex - 1].chr == segment.chr:
segment.start = sortedCNVs[cnvindex - 1].start
else:
segment.start = sortedCNVs[cnvindex].start
segment.softStart = sortedCNVs[cnvindex].finish
while cnvindex < len(sortedCNVs) and sortedCNVs[cnvindex] == segment:
cnvindex += 1
# Backing up to last valid index
assert cnvindex > 0
cnvindex -= 1
segment.softFinish = sortedCNVs[cnvindex].start
if segment.softFinish == segment.start:
segment.softStart = sortedCNVs[cnvindex].start + 1
segment.softFinish = sortedCNVs[cnvindex].finish - 1
if segment.softFinish <= segment.softStart:
segment.softFinish = segment.softStart + 1
if cnvindex < len(sortedCNVs) - 1 and sortedCNVs[cnvindex + 1].chr == segment.chr:
segment.finish = sortedCNVs[cnvindex + 1].finish
else:
segment.finish = sortedCNVs[cnvindex].finish
assert segment.finish > segment.start
if segment.softFinish >= segment.finish:
print cnvindex
print len(sortedCNVs) - 1
print sortedCNVs[cnvindex + 1].chr
print segment.chr
print sortedCNVs[cnvindex].start
print segment.softStart
print segment.softFinish
if cnvindex < len(sortedCNVs) - 1:
print sortedCNVs[cnvindex + 1].finish
print sortedCNVs[cnvindex].finish
segment.validate()
return segments
###########################################
## Master function
###########################################
def _median(X):
return (X.start + X.finish)/2
def segmentCNVs(cnvs):
print "Segmentation of CNV data"
sortedCNVs = sorted(cnvs)
_glueCNVs(sortedCNVs)
chrom = [X.chr for X in sortedCNVs]
pos = map(_median, sortedCNVs)
vals = [X.val[0] for X in sortedCNVs]
cbsCNVS = cbs.run(chrom, pos, vals)
sortedCBSCNVs = sorted(cbsCNVS)
filtered = _filterCNVs(sortedCBSCNVs)
return _computeBorderMargins(filtered, sortedCNVs)
###########################################
## Unit test
###########################################
def main():
region1 = CNV("chr1", 1000, 2000, [1.0], "A")
region2 = CNV("chr1", 2000, 3000, [1.0], "B")
region3 = CNV("chr1", 3000, 4000, [5.0], "C")
region4 = CNV("chr1", 4000, 5000, [5.0], "D")
print "\n".join(map(str, segmentCNVs([region1, region2, region3, region4])))
if __name__ == "__main__":
main()
| [
"dzerbino@soe.ucsc.edu"
] | dzerbino@soe.ucsc.edu |
e4e5e481233d10aa848528ddd6839ce75ca7e3ec | d485838edf2a80d583f8cb35926367deb51a7f80 | /py/net_proto/proto.py | 770d9de7bcceb78eb1a1d1ce6b797b5a4cdabf43 | [] | no_license | xuy1202/projects | fc0a8870b51ebd54109ac479198dc13fca3241a7 | 627fd87a050d4e1798f3b5a9fec1dbb4b38f3a21 | refs/heads/master | 2021-01-23T13:38:10.581358 | 2017-07-26T11:39:07 | 2017-07-26T11:39:07 | 42,382,953 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 47 | py | #coding: utf-8
ParseError = '_parse_error'
| [
"xuyang-pd@dev1.netlab.corp.qihoo.net"
] | xuyang-pd@dev1.netlab.corp.qihoo.net |
3580c0c25dc1cefc1b8530f46a50b057a46d0467 | a0690baf8400629d27baeb0b72bdad1aaaa1074a | /basis_readme/6.DNN-IRM/dataset.py | d1b6da953314c4d93eebe642c6eee638bb634f23 | [] | no_license | HuaChung/speech_enhancement_awesome | 09313e8240823812cad7236ebd44d13f20d06e65 | f53d8279550de2d49e11e601f4f2c89efe25e3d1 | refs/heads/master | 2023-08-22T18:47:19.313004 | 2021-10-27T02:04:17 | 2021-10-27T02:04:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,315 | py | import os
import torch
import numpy as np
from torch.utils.data import Dataset,DataLoader
from hparams import hparams
import librosa
import random
import soundfile as sf
def feature_stft(wav,para):
spec = librosa.stft(wav,
n_fft=para["N_fft"],
win_length = para["win_length"],
hop_length = para["hop_length"],
window =para["window"])
mag = np.abs(spec)
phase = np.angle(spec)
return mag.T, phase.T # T x D
# feature T x D
# out T x D*(2*expand+1)
def feature_contex(feature,expend):
feature = feature.unfold(0,2*expend+1,1) # T x D x 2*expand+1
feature = feature.transpose(1,2) # T x 2*n_expand+1 x D
feature = feature.view([-1,(2*expend+1)*feature.shape[-1]]) # T x D * 2*n_expand+1
return feature
def get_mask(clean,noisy,para):
noise = noisy-clean
clean_mag,_ = feature_stft(clean,para)
noisy_mag,_ = feature_stft(noisy,para)
noise_mag,_ = feature_stft(noise,para)
mask = (clean_mag ** 2 / (clean_mag ** 2 + noise_mag ** 2))**(0.5)
return clean_mag,noisy_mag,mask
class TIMIT_Dataset(Dataset):
def __init__(self,para):
self.file_scp = para.file_scp
self.para_stft = para.para_stft
self.n_expand = para.n_expand
files = np.loadtxt(self.file_scp,dtype = 'str')
self.clean_files = files[:,1].tolist()
self.noisy_files = files[:,0].tolist()
print(len(self.clean_files))
def __len__(self):
return len(self.clean_files)
def __getitem__(self,idx):
# 读取干净语音
clean_wav,fs = sf.read(self.clean_files[idx],dtype = 'float32')
clean_wav = clean_wav.astype('float32')
# 读取含噪语音
noisy_wav,fs = sf.read(self.noisy_files[idx],dtype = 'float32')
noisy_wav = noisy_wav.astype('float32')
# 进行 特征提取
clean_mag,noisy_mag,mask = get_mask(clean_wav,noisy_wav,self.para_stft)
# 转为torch格式
X_train = torch.from_numpy(np.log(noisy_mag**2))
Y_train = torch.from_numpy(mask)
# 拼帧
X_train = feature_contex(X_train,self.n_expand)
Y_train = Y_train[self.n_expand:-self.n_expand,:]
return X_train, Y_train
def my_collect(batch):
batch_X = [item[0] for item in batch]
batch_Y = [item[1] for item in batch]
batch_X = torch.cat(batch_X,0)
batch_Y = torch.cat(batch_Y,0)
return[batch_X.float(),batch_Y.float()]
if __name__ == '__main__':
# 数据加载测试
para = hparams()
m_Dataset= TIMIT_Dataset(para)
m_DataLoader = DataLoader(m_Dataset,batch_size = 2,shuffle = True, num_workers = 4, collate_fn = my_collect)
for i_batch, sample_batch in enumerate(m_DataLoader):
train_X = sample_batch[0]
train_Y = sample_batch[1]
print(train_X.shape)
print(train_Y.shape)
| [
"tower.ysable@gmail.com"
] | tower.ysable@gmail.com |
ef503885f150b97c1b8d4603130113bbdeee0874 | bb65865a35137450140faba9622a0caa5d74ae21 | /phasing/plot-N50-coverages.py | 6f5cc4cec04ac26497134feda91764da9a514a32 | [] | no_license | PacificBiosciences/hg002-ccs | 3b98630b799a528226954addd9d033b8a37934f0 | dded2678b0bd758f5cc6faf4557df712714c624c | refs/heads/master | 2021-08-07T14:58:15.821694 | 2021-08-01T02:50:22 | 2021-08-01T02:50:22 | 169,060,449 | 17 | 9 | null | 2021-08-01T02:30:53 | 2019-02-04T10:17:27 | Python | UTF-8 | Python | false | false | 1,127 | py | import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
import argparse
parser = argparse.ArgumentParser(prog='plot-N50-coverages.py', description=__doc__)
parser.add_argument('tsv', metavar='FILE', nargs='+', help='tsv files containing N50s')
parser.add_argument('output', metavar='OUTPUT', help='name of output file')
args = parser.parse_args()
def extract_rate(filename):
splitted = filename.split('.')
for element in splitted:
if element[0:4] == 'rate':
return int(element[4:])
assert(False)
data = []
for filename in args.tsv:
value = -1
rate = extract_rate(filename)
for line in open(filename, 'r'):
splitted = line.split()
if splitted[1] == 'ALL':
value = int(splitted[21])
continue
assert(value is not -1)
data.append( (rate, value) )
# sort values low coverage -> high coverage
data = sorted(data, key=lambda x: x[0])
print(data)
coverages = [0.01*i[0] for i in data]
n50s = [i[1] for i in data]
print('coverages:', coverages)
print('n50s:', n50s)
plt.plot(coverages, n50s, 'bo-')
plt.xlabel('rate')
plt.ylabel('N50')
plt.savefig(args.output)
| [
"awenger@pacificbiosciences.com"
] | awenger@pacificbiosciences.com |
0eb66d998b161fbbd062f926526bb83adaeeba70 | 1d0a223b743b005cd2ecd904337178e322e63534 | /chapter10/file.reader.py | 15088ab8515910c4dc81f9a8f361f65a07a60000 | [] | no_license | Stefanroets180/all-my-Python-work | 285607ce1ef50aac4897e0721ead4daca01fa6e0 | d7937b51a309ebd051bef90e78154447b6e9a8ea | refs/heads/main | 2023-03-27T10:15:54.793489 | 2021-03-18T12:26:20 | 2021-03-18T12:26:20 | 349,063,278 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 113 | py | filename = 'pi_digital.txt'
with open(filename) as file_object:
for line in file_object:
print(line) | [
"61413955+Stefanroets180@users.noreply.github.com"
] | 61413955+Stefanroets180@users.noreply.github.com |
2d185bbe654caec61b928db73a33eeb507cd8e72 | ffac7f80e02a0a6ddb125b30086f022d4114a4c2 | /Scan-Small-ROI-Della/scan_interface.py | 2a55a8aa66d892f0cdc55e184acc837676401b4c | [] | no_license | jeansom/DM-Catalog-Scan | ca20400f1a4133ca0aa49a23932e6d6bbe2a871a | 6c22043fdc837de606733a4ef2e7c30462bdaab8 | refs/heads/master | 2021-04-25T06:46:43.883494 | 2017-10-11T13:58:59 | 2017-10-11T13:58:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,439 | py | import argparse
from scan import Scan
from local_dirs import *
parser = argparse.ArgumentParser()
parser.add_argument("--perform_scan",
action="store", dest="perform_scan", default=1,type=int)
parser.add_argument("--perform_postprocessing",
action="store", dest="perform_postprocessing", default=1,type=int)
parser.add_argument("--imc",
action="store", dest="imc", default=0,type=int)
parser.add_argument("--iobj",
action="store", dest="iobj", default=0,type=int)
parser.add_argument("--Asimov",
action="store", dest="Asimov", default=0,type=int)
parser.add_argument("--save_dir",
action="store", dest="save_dir", default="",type=str)
parser.add_argument("--load_dir",
action="store", dest="load_dir", default="",type=str)
parser.add_argument("--float_ps_together",
action="store", dest="float_ps_together", default=1,type=int)
parser.add_argument("--noJprof",
action="store", dest="noJprof", default=0,type=int)
parser.add_argument("--start_idx",
action="store", dest="start_idx", default=0,type=int)
parser.add_argument("--floatDM",
action="store", dest="floatDM", default=0,type=int)
parser.add_argument("--mc_dm",
action="store", dest="mc_dm", default=-1,type=int)
parser.add_argument("--catalog_file",
action="store", dest="catalog_file", default="DarkSky_ALL_200,200,200_v3.csv",type=str)
parser.add_argument("--diff",
action="store", dest="diff", default="p7",type=str)
parser.add_argument("--randlocs",
action="store", dest="randlocs", default=0,type=int)
parser.add_argument("--channel",
action="store", dest="channel", default="b",type=str)
parser.add_argument("--eventtype",
action="store", dest="eventtype", default=0,type=int)
parser.add_argument("--Burkert",
action="store", dest="Burkert", default=0,type=int)
parser.add_argument("--use_boost",
action="store", dest="use_boost", default=0,type=int)
parser.add_argument("--boost",
action="store", dest="boost", default=1,type=int)
results = parser.parse_args()
iobj=results.iobj
imc=results.imc
Asimov=results.Asimov
save_dir=results.save_dir
load_dir=results.load_dir
float_ps_together=results.float_ps_together
noJprof=results.noJprof
start_idx=results.start_idx
floatDM=results.floatDM
perform_scan=results.perform_scan
perform_postprocessing=results.perform_postprocessing
mc_dm=results.mc_dm
catalog_file=results.catalog_file
diff=results.diff
randlocs=results.randlocs
channel=results.channel
eventtype=results.eventtype
Burkert=results.Burkert
use_boost=results.use_boost
boost=results.boost
if load_dir != "":
load_dir = work_dir + '/Scan-Small-ROI/data/' + str(load_dir) + "/"
else:
load_dir = None
Scan(perform_scan=perform_scan,
perform_postprocessing=perform_postprocessing,
imc=imc,
iobj=start_idx+iobj,
Asimov=Asimov,
float_ps_together=float_ps_together,
noJprof=noJprof,
floatDM=floatDM,
diff=diff,
mc_dm=mc_dm,
load_dir=load_dir,
verbose=True,
catalog_file=catalog_file,
randlocs=randlocs,
channel=channel,
eventtype=eventtype,
Burkert=Burkert,
use_boost=use_boost,
boost=boost,
save_dir=work_dir + '/Scan-Small-ROI/data/' + str(save_dir) + "/")
| [
"smsharma@princeton.edu"
] | smsharma@princeton.edu |
b4358aa6af74467e6805dc7e3b11ff77c479f70a | 09744f85b0aa4c1e8525260cfdb894c76bf2d58e | /Resources/Examples/PycharmProjects/Image Processing/Image4.py | 4135bc25ca44edf82ffd06dd20340548e6a994d0 | [
"CC0-1.0"
] | permissive | ehfo0/eYSIP_2015_Depth_Mapping_Kinect | 5ad2ca7dbd6a5a8d721fc7d033648b53a643416c | f8e9e0297ed3ef9f9ab6e35252a1329f6e5a1623 | refs/heads/master | 2021-01-25T08:23:01.711296 | 2015-07-15T15:04:42 | 2015-07-15T15:04:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,087 | py | __author__ = 'aniket'
import cv2
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread('paka.jpg',0)
ret1,th1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
ret2,th2 = cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
blur = cv2.GaussianBlur(img,(5,5),0)
ret3,th3 = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
images = [img, 0, th1, img, 0, th2, blur, 0, th3]
titles = ['Original Noisy Image','Histogram','Global Thresholding (v = 127)','Original Noisy Image','Histogram',
"Otsu's Thresholding",'Gaussian filtered Image','Histogram',"Otsu's Thresholding"]
for i in xrange(3):
plt.subplot(3,3,i*3+1),plt.imshow(images[i*3],'gray')
plt.title(titles[i*3]), plt.xticks([]), plt.yticks([])
plt.subplot(3,3,i*3+2), plt.hist(images[i*3].ravel(),256)
plt.title(titles[i*3+1]), plt.xticks([]), plt.yticks([])
plt.subplot(3,3,i*3+3), plt.imshow(images[i*3+2],'gray')
plt.title(titles[i*3+2]), plt.xticks([]), plt.yticks([])
plt.show()
"""This code gives the comparison of otsu thresholding and binary thresh""" | [
"aniket10051994@gmail.com"
] | aniket10051994@gmail.com |
a83a11d7de133095f348d5920113cb836562415e | 8e95e79840005f6c34dfb978e8fe6e0ec4f7f643 | /7_Image Processing in Python_/29_Edges.py | f4953bd068a7dbf38dcc7620a093d0b9b0858f0d | [] | no_license | Naysla/Machine_Learning | a0593cac41ef1561f14bec55780570b82fc37720 | e75d5cd2894ccb005228ab3da87dde9025385a08 | refs/heads/master | 2023-02-01T17:19:32.413609 | 2020-12-22T20:36:45 | 2020-12-22T20:36:45 | 323,708,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 577 | py | #Edges
#In this exercise you will identify the shapes in a grapefruit image by detecting the edges, using the Canny algorithm.
#Image preloaded as grapefruit.
#The color module has already been preloaded for you.
# Import the canny edge detector
from skimage.feature import canny
# Convert image to grayscale
grapefruit = color.rgb2gray(grapefruit)
# Apply canny edge detector
canny_edges = canny(grapefruit)
# Show resulting image
show_image(canny_edges, "Edges with Canny")
#You can see the shapes and details of the grapefruits of the original image being highlighted. | [
"60472499+Naysla@users.noreply.github.com"
] | 60472499+Naysla@users.noreply.github.com |
e41804e5078006e13023aee28491f1f6eb99284b | 736cd2f00631fed8a2f545ac9da0b0164862407e | /Face_Recognition(using KNN)/face_recog.py | c9b9d2ac303d3b8ced767c1d9c1b1da2bd778f95 | [] | no_license | mihirsood/kNN-Face-Detection-Recognition | 9428eeca996185a3e5bccbfc161d49e5631490f0 | 86c42d4c7167a376d2ac27811babcc94425601bc | refs/heads/master | 2022-11-30T12:20:42.967465 | 2020-08-05T21:57:55 | 2020-08-05T21:57:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,783 | py | # Recognise Faces using some classification algorithms like KNN
#1. Load the training data(numpy arrays of all the persons)
# x- values are stores in the numpy arrays
# y- values we need to assign for each Person
# 2. Read a video stream using opencv
# 3. Extract faces out of it
# 4. Use knn to find the prediction of face (int )
# 5. Map the Predicted id to name of the User
# 6. display the predictions on the screen - bounding box and name
import os
import numpy as np
import cv2
dataset_path = "./data/"
face_data=[]
labels=[]
for fx in os.listdir(dataset_path):
if fx.endswith(".npy"):
l = fx.split(".")[0]
face_item=np.load(dataset_path+fx)
print(face_item.shape)
print(l)
face_data.append(face_item)
# appending labels : times => faces
for i in range(len(face_item)):
labels.append(l)
# face_data[0].shape
#
# face_data
X=np.concatenate(face_data,axis=0)
Y = np.array(labels)
print(X.shape)
print(Y.shape)
#KNN
def distance(pA,pB):
return np.sum((pB-pA)**2)**0.5
def kNN(X, y, x_query, k = 5):
"""
X -> (m,30000) np array
y -> (m,) np array
x_query -> (1,2) np array
k -> scalar int
do knn for classification
"""
m = X.shape[0]
distances = []
for i in range(m):
dis = distance(x_query, X[i])
distances.append((dis,y[i]))
distances = sorted(distances)
distances = distances[:k]
distances = np.array(distances)
labels = distances[:,1]
uniq_label,counts = np.unique(labels,return_counts=True)
pred = uniq_label[counts.argmax()]
return pred
# Test Face Recog
cam = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
while True:
ret, frame = cam.read()
if ret == False:
continue
gray_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) #bgr-> grayscale conversion b/c haarcascade works on gray scale 24x24 window
faces = face_cascade.detectMultiScale(gray_frame,1.3,5)
for face in faces:
face_section = None
x,y,w,h = face
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
offset = 10 #increasing 10 pixels on all the sides and cropping the new file
face_section = frame[y-offset:y+h+offset,x-offset:x+w+offset]
face_section = cv2.resize(face_section,(100,100))
name = kNN(X,Y,face_section.reshape(1,-1))
cv2.putText(frame,name,(x,y-10),cv2.FONT_HERSHEY_PLAIN,5,(255,255,255),2,cv2.LINE_AA)
cv2.imshow("window",frame)
key=cv2.waitKey(1) #1ms
# 0 means wait for indefinite time
if key==ord("q"): # ord returns ascii vale
break
cam.release()
cv2.destroyAllWindows()
| [
"noreply@github.com"
] | noreply@github.com |
6f336c38ab7c777f19b1fdd414f93f0af5423883 | c8ef98a2fb6d2592b53bf3338e639d0707224944 | /scott/leaf/nn_multi_leaf.py | 414f140d96dd7f05510083761582267d9dc8b675 | [] | no_license | yysy2/CAS-projects | 0bc374c318c04a1c5aa1fe41c1779bd42d4f1e13 | d1e353e8b189748f401fef09c58f03240a52e465 | refs/heads/master | 2020-07-27T01:19:19.678379 | 2016-12-09T12:39:47 | 2016-12-09T12:39:47 | 73,706,887 | 1 | 0 | null | 2016-11-30T18:20:23 | 2016-11-14T13:25:09 | Python | UTF-8 | Python | false | false | 19,778 | py | #-----------------BEGIN HEADERS-----------------
import numpy as np
#import matplotlib.pyplot as plt
from scipy import stats
import csv
import scipy
np.set_printoptions(threshold=np.nan)
import contextlib
import pdb
from random import shuffle
import myfunctions_leaf as mf
@contextlib.contextmanager
def printoptions(*args, **kwargs):
original = np.get_printoptions()
np.set_printoptions(*args, **kwargs)
yield
np.set_printoptions(**original)
#-----------------END HEADERS-----------------
#-----------------BEGIN BODY-----------------
print("Started running")
## Setup the parameters you will use for this exercise -- YOU WILL NEED TO SET THESE FLAGS BEFORE STARTING!!!
#############################################################################################################
##Basic flags
#input_layer_size = 784 # 28x28 Input Images of Digits
hidden_layer_size1 = 120 # hidden units, unless allow_optimisation = True
hidden_layer_size2 = 1600 # hidden units, unless allow_optimisation = True, ignored if number_of_layers = 3
hidden_layer_size3 = 1600 # hidden units, unless allow_optimisation = True, ignored if number_of_layers = 3 or 4
#num_labels = 8 # 10 labels, from 0 to 9
number_of_layers = 3 # Gives the number of layers in nn. 3, 4, 5 are available.
lambda_reg = 0.0006 # Regularisation parameter, allow_optimisation = True
ratio_training_to_cv = 0.7 # Sets the ratio of training to cv data
use_all_training_data = False # If True, will use all training data instead of spliting into train and CV
##Initialisation
use_random_initialisation = True # If true, it will use random initialisation, if false, will use preset random values (FOR DEBUGGING ONLY) -- ONLY WORKS IF ALLOW_OPTIMISER = FALSE AND HIDDEN LAYER = 25 AND LAYERS = 3
##Gradient checking
use_gradient_checking = False # If true, will turn on gradient checking (FOR DEBUGGING/FIRST RUN ONLY)
only_gradient_checking = False # If true, will exit after gradient checking
##Minimiser options
iteration_number = 4000 # Number of iterations
minimisation_method = "L-BFGS-B" # Sets minimiser method, recommended L-BFGS-B or TNC
use_minimisation_display = True # Sets whether we display iterations
##Optimisation options
allow_optimisation = False # If True, will try to find best hidden layers and lambda. It will ignore inputted numbers. Only work if use_all_training_data = False and use_random_initialisation = True
only_optimisation = False # If True, will exit after optimisation, only works if allow_optimisation = True
use_logloss = True # If True, will use logloss instead of accuracy to optimise
optimisation_iteration = 300 # Sets how many iterations when doing optimisation
optimisation_jump = 2.0 # Sets how multiplier
lambda_reg_lower_threshold = 0.002 #1.0 #5.0 # Sets the min lambda threshold for optimisation
lambda_reg_upper_threshold = 0.130 #300.0 #350.0 # Sets the max lambda threshold for optimisation
d1_reg_lower_threshold = 25 # Sets the min d1 threshold for optimisation
d1_reg_upper_threshold = 3500 # Sets the max d1 threshold for optimisation
d2_reg_lower_threshold = 25 # Sets the min d1 threshold for optimisation
d2_reg_upper_threshold = 3500 # Sets the max d1 threshold for optimisation
d3_reg_lower_threshold = 25 # Sets the min d1 threshold for optimisation
d3_reg_upper_threshold = 3500 # Sets the max d1 threshold for optimisation
##Output CSV file options
output_test_submission = True # If True, will print out test data for submission
##Reading in data
#############################################################################################################
m, n, x, y, m_train, m_cv, x_train, x_cv, y_train, y_cv, leafid, leafid_train, leafid_cv, num_labels = mf.readincsv(ratio_training_to_cv);
input_layer_size = n
#Gradient checking
#############################################################################################################
if use_gradient_checking == True:
print('Doing gradient checking')
if number_of_layers == 3:
mf.smallNN3(lambda_reg);
elif number_of_layers == 4:
mf.smallNN4(lambda_reg);
elif number_of_layers == 5:
mf.smallNN5(lambda_reg);
if only_gradient_checking == True:
exit()
#Optimising d and lambda
#############################################################################################################
if allow_optimisation == True:
if use_all_training_data == True:
print("Must set use_all_training_data = False for this to work")
exit()
elif use_random_initialisation == False:
print("Must set use_random_initialisation = True for this to work")
else:
print('Doing optimisation')
if number_of_layers == 3:
del(hidden_layer_size1)
del(lambda_reg)
hidden_layer_size1, lambda_reg = mf.myoptimiser3(use_logloss, optimisation_jump, optimisation_iteration, input_layer_size, num_labels, x_train, y_train, x_cv, y_cv, minimisation_method, lambda_reg_lower_threshold, lambda_reg_upper_threshold, d1_reg_lower_threshold, d1_reg_upper_threshold);
elif number_of_layers == 4:
del(hidden_layer_size1)
del(hidden_layer_size2)
del(lambda_reg)
hidden_layer_size1, hidden_layer_size2, lambda_reg = mf.myoptimiser4(use_logloss, optimisation_jump, optimisation_iteration, input_layer_size, num_labels, x_train, y_train, x_cv, y_cv, minimisation_method, lambda_reg_lower_threshold, lambda_reg_upper_threshold, d1_reg_lower_threshold, d1_reg_upper_threshold, d2_reg_lower_threshold, d2_reg_upper_threshold);
elif number_of_layers == 5:
del(hidden_layer_size1)
del(hidden_layer_size2)
del(lambda_reg)
hidden_layer_size1, hidden_layer_size2, hidden_layer_size2, lambda_reg = mf.myoptimiser5(use_logloss, optimisation_jump, optimisation_iteration, input_layer_size, num_labels, x_train, y_train, x_cv, y_cv, minimisation_method, lambda_reg_lower_threshold, lambda_reg_upper_threshold, d1_reg_lower_threshold, d1_reg_upper_threshold, d2_reg_lower_threshold, d2_reg_upper_threshold, d3_reg_lower_threshold, d3_reg_upper_threshold);
else:
print("Number of layers must be 3, 4 or 5!!! :(")
if number_of_layers == 3:
print("Using Hidden_layer_size: " + str(hidden_layer_size1) + ", lambda: " + str(lambda_reg))
elif number_of_layers == 4:
print("Using Hidden_layer_size: " + str(hidden_layer_size1) + ", " + str(hidden_layer_size2) + ", lambda: " + str(lambda_reg))
elif number_of_layers == 5:
print("Using Hidden_layer_size: " + str(hidden_layer_size1) + ", " + str(hidden_layer_size2) + ", " + str(hidden_layer_size3) + ", lambda: " + str(lambda_reg))
else:
print("Number of layers must be 3, 4 or 5")
exit()
if only_optimisation == True:
exit()
#Randomly initalize weights for Theta_initial
#############################################################################################################
print('Initialising weights')
if use_random_initialisation == True:
if number_of_layers == 3:
theta1_initial = mf.randinitialize(input_layer_size, hidden_layer_size1);
theta2_initial = mf.randinitialize(hidden_layer_size1, num_labels);
theta_initial_ravel = np.concatenate((np.ravel(theta1_initial), np.ravel(theta2_initial)))
elif number_of_layers == 4:
theta1_initial = mf.randinitialize(input_layer_size, hidden_layer_size1);
theta2_initial = mf.randinitialize(hidden_layer_size1, hidden_layer_size2);
theta3_initial = mf.randinitialize(hidden_layer_size2, num_labels);
theta_initial_ravel = np.concatenate((np.ravel(theta1_initial), np.ravel(theta2_initial), np.ravel(theta3_initial)))
elif number_of_layers == 5:
theta1_initial = mf.randinitialize(input_layer_size, hidden_layer_size1);
theta2_initial = mf.randinitialize(hidden_layer_size1, hidden_layer_size2);
theta3_initial = mf.randinitialize(hidden_layer_size2, hidden_layer_size3);
theta4_initial = mf.randinitialize(hidden_layer_size3, num_labels);
theta_initial_ravel = np.concatenate((np.ravel(theta1_initial), np.ravel(theta2_initial), np.ravel(theta3_initial), np.ravel(theta4_initial)))
else:
print("Number of layers must be 3, 4 or 5")
exit()
else:
theta1_initial = np.genfromtxt('tt1.csv', delimiter=',')
theta2_initial = np.genfromtxt('tt2.csv', delimiter=',')
theta_initial_ravel = np.concatenate((np.ravel(theta1_initial), np.ravel(theta2_initial)))
#Minimize nncostfunction
#############################################################################################################
print('Doing minimisation')
if use_all_training_data == True and number_of_layers == 3:
fmin = scipy.optimize.minimize(fun=mf.nncostfunction3, x0=theta_initial_ravel, args=(input_layer_size, hidden_layer_size1, num_labels, x, y, lambda_reg), method=minimisation_method, jac=True, options={'maxiter': iteration_number, 'disp': use_minimisation_display})
answer = fmin.x
theta1 = np.array(np.reshape(answer[0:hidden_layer_size1*(input_layer_size+1)], ((hidden_layer_size1, input_layer_size + 1))))
theta2 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1):], ((num_labels, hidden_layer_size1 + 1))))
elif use_all_training_data == True and number_of_layers == 4:
fmin = scipy.optimize.minimize(fun=mf.nncostfunction4, x0=theta_initial_ravel, args=(input_layer_size, hidden_layer_size1, hidden_layer_size2, num_labels, x, y, lambda_reg), method=minimisation_method, jac=True, options={'maxiter': iteration_number, 'disp': use_minimisation_display})
answer = fmin.x
theta1 = np.array(np.reshape(answer[0:hidden_layer_size1*(input_layer_size+1)], ((hidden_layer_size1, input_layer_size + 1))))
theta2 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1):hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)], ((hidden_layer_size2, hidden_layer_size1 + 1))))
theta3 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1):], ((num_labels, hidden_layer_size2 + 1))))
elif use_all_training_data == True and number_of_layers == 5:
fmin = scipy.optimize.minimize(fun=mf.nncostfunction5, x0=theta_initial_ravel, args=(input_layer_size, hidden_layer_size1, hidden_layer_size2, hidden_layer_size3, num_labels, x, y, lambda_reg), method=minimisation_method, jac=True, options={'maxiter': iteration_number, 'disp': use_minimisation_display})
answer = fmin.x
theta1 = np.array(np.reshape(answer[0:hidden_layer_size1*(input_layer_size+1)], ((hidden_layer_size1, input_layer_size + 1))))
theta2 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1):hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)], ((hidden_layer_size2, hidden_layer_size1 + 1))))
theta3 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1):hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)+hidden_layer_size3*(hidden_layer_size2+1)], ((hidden_layer_size3, hidden_layer_size2 + 1))))
theta4 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)+hidden_layer_size3*(hidden_layer_size2+1):], ((num_labels, hidden_layer_size3 + 1))))
elif use_all_training_data == False and number_of_layers == 3:
fmin = scipy.optimize.minimize(fun=mf.nncostfunction3, x0=theta_initial_ravel, args=(input_layer_size, hidden_layer_size1, num_labels, x_train, y_train, lambda_reg), method=minimisation_method, jac=True, options={'maxiter': iteration_number, 'disp': use_minimisation_display})
answer = fmin.x
theta1 = np.array(np.reshape(answer[0:hidden_layer_size1*(input_layer_size+1)], ((hidden_layer_size1, input_layer_size + 1))))
theta2 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1):], ((num_labels, hidden_layer_size1 + 1))))
elif use_all_training_data == False and number_of_layers == 4:
fmin = scipy.optimize.minimize(fun=mf.nncostfunction4, x0=theta_initial_ravel, args=(input_layer_size, hidden_layer_size1, hidden_layer_size2, num_labels, x_train, y_train, lambda_reg), method=minimisation_method, jac=True, options={'maxiter': iteration_number, 'disp': use_minimisation_display})
answer = fmin.x
theta1 = np.array(np.reshape(answer[0:hidden_layer_size1*(input_layer_size+1)], ((hidden_layer_size1, input_layer_size + 1))))
theta2 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1):hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)], ((hidden_layer_size2, hidden_layer_size1 + 1))))
theta3 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1):], ((num_labels, hidden_layer_size2 + 1))))
elif use_all_training_data == False and number_of_layers == 5:
fmin = scipy.optimize.minimize(fun=mf.nncostfunction5, x0=theta_initial_ravel, args=(input_layer_size, hidden_layer_size1, hidden_layer_size2, hidden_layer_size3, num_labels, x_train, y_train, lambda_reg), method=minimisation_method, jac=True, options={'maxiter': iteration_number, 'disp': use_minimisation_display})
answer = fmin.x
theta1 = np.array(np.reshape(answer[0:hidden_layer_size1*(input_layer_size+1)], ((hidden_layer_size1, input_layer_size + 1))))
theta2 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1):hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)], ((hidden_layer_size2, hidden_layer_size1 + 1))))
theta3 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1):hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)+hidden_layer_size3*(hidden_layer_size2+1)], ((hidden_layer_size3, hidden_layer_size2 + 1))))
theta4 = np.array(np.reshape(answer[hidden_layer_size1*(input_layer_size+1)+hidden_layer_size2*(hidden_layer_size1+1)+hidden_layer_size3*(hidden_layer_size2+1):], ((num_labels, hidden_layer_size3 + 1))))
else:
print("Error")
exit()
#Doing predictions
#############################################################################################################
print('Doing predictions')
if use_all_training_data == True:
p, h = mf.predict(theta1, theta2, x);
correct = [1 if a == b else 0 for (a, b) in zip(p,y)]
accuracy = (sum(map(int, correct)) / float(len(correct)))
print 'training set accuracy = {0}%'.format(accuracy * 100)
else:
if number_of_layers == 3:
p, h = mf.predict3(theta1, theta2, x_train);
print(p[0:10])
print(y_train[0:10])
correct = [1 if a == b else 0 for (a, b) in zip(p,y_train)]
accuracy = (sum(map(int, correct)) / float(len(correct)))
print 'training set accuracy = {0}%'.format(accuracy * 100)
mylogloss = mf.mylogloss(h, y_train, num_labels);
print("mylogloss_train is: " + str(mylogloss))
p_cv, h_cv = mf.predict3(theta1, theta2, x_cv);
correct_cv = [1 if a == b else 0 for (a, b) in zip(p_cv,y_cv)]
accuracy_cv = (sum(map(int, correct_cv)) / float(len(correct_cv)))
print 'CV set accuracy = {0}%'.format(accuracy_cv * 100)
mylogloss_cv = mf.mylogloss(h_cv, y_cv, num_labels);
print("mylogloss_CV is: " + str(mylogloss_cv))
'''
print(len(fp_cv))
print(len(y_cv))
print(len(p_cv))
#exit()
ourcheck = np.vstack((fp_cv.astype('str'),y_cv.astype('str'),h_cv[:,0].astype('str'),h_cv[:,1].astype('str'),h_cv[:,2].astype('str'),h_cv[:,3].astype('str'),h_cv[:,4].astype('str'),h_cv[:,5].astype('str'),h_cv[:,6].astype('str'),h_cv[:,7].astype('str')))
np.set_printoptions(suppress=True)
np.savetxt("logcheck.csv", ourcheck.T, delimiter=",", fmt="%s")#fmt='%.17f')
exit()
'''
elif number_of_layers == 4:
p, h = mf.predict4(theta1, theta2, theta3, x_train);
print(p[0:10])
print(y_train[0:10])
correct = [1 if a == b else 0 for (a, b) in zip(p,y_train)]
accuracy = (sum(map(int, correct)) / float(len(correct)))
print 'training set accuracy = {0}%'.format(accuracy * 100)
mylogloss = mf.mylogloss(h, y_train, num_labels);
print("mylogloss_train is: " + str(mylogloss))
p_cv, h_cv = mf.predict4(theta1, theta2, theta3, x_cv);
correct_cv = [1 if a == b else 0 for (a, b) in zip(p_cv,y_cv)]
accuracy_cv = (sum(map(int, correct_cv)) / float(len(correct_cv)))
print 'CV set accuracy = {0}%'.format(accuracy_cv * 100)
mylogloss_cv = mf.mylogloss(h_cv, y_cv, num_labels);
print("mylogloss_CV is: " + str(mylogloss_cv))
elif number_of_layers == 5:
p, h = mf.predict5(theta1, theta2, theta3, theta4, x_train);
print(p[0:10])
print(y_train[0:10])
correct = [1 if a == b else 0 for (a, b) in zip(p,y_train)]
accuracy = (sum(map(int, correct)) / float(len(correct)))
print 'training set accuracy = {0}%'.format(accuracy * 100)
mylogloss = mf.mylogloss(h, y_train, num_labels);
print("mylogloss_train is: " + str(mylogloss))
p_cv, h_cv = mf.predict5(theta1, theta2, theta3, theta4, x_cv);
correct_cv = [1 if a == b else 0 for (a, b) in zip(p_cv,y_cv)]
accuracy_cv = (sum(map(int, correct_cv)) / float(len(correct_cv)))
print 'CV set accuracy = {0}%'.format(accuracy_cv * 100)
mylogloss_cv = mf.mylogloss(h_cv, y_cv, num_labels);
print("mylogloss_cv is: " + str(mylogloss_cv))
#Processing test data
#############################################################################################################
if output_test_submission == True:
print("Processing test data")
if number_of_layers == 3:
x_test, m_test, n_test, leafid_test = mf.readintestcsv();
p_test, h_test = mf.predict3(theta1, theta2, x_test);
#ourcheck = np.vstack((leafid_test.astype('str'),h_test[:,0].astype('str'),h_test[:,1].astype('str'),h_test[:,2].astype('str'),h_test[:,3].astype('str'),h_test[:,4].astype('str'),h_test[:,5].astype('str'),h_test[:,6].astype('str'),h_test[:,7].astype('str')))
np.set_printoptions(suppress=True)
np.savetxt("4000mytest_3layers.csv", h_test, delimiter=",",fmt="%s")# fmt='%.17f')
print("Using Hidden_layer_size: " + str(hidden_layer_size1) + ", lambda: " + str(lambda_reg))
elif number_of_layers == 4:
x_test, m_test, n_test, leafid_test = mf.readintestcsv();
p_test, h_test = mf.predict4(theta1, theta2, theta3, x_test);
#ourcheck = np.vstack((leafid_test.astype('str'),h_test[:,0].astype('str'),h_test[:,1].astype('str'),h_test[:,2].astype('str'),h_test[:,3].astype('str'),h_test[:,4].astype('str'),h_test[:,5].astype('str'),h_test[:,6].astype('str'),h_test[:,7].astype('str')))
np.set_printoptions(suppress=True)
np.savetxt("mytest_4layers.csv", h_test, delimiter=",", fmt='%.17f')
print("Using Hidden_layer_size: " + str(hidden_layer_size1) + ", " + str(hidden_layer_size2) + ", lambda: " + str(lambda_reg))
elif number_of_layers == 5:
x_test, m_test, n_test = mf.readintestcsv();
p_test, h_test = mf.predict5(theta1, theta2, theta3, theta4, x_test);
#ourcheck = np.vstack((leafid_test.astype('str'),h_test[:,0].astype('str'),h_test[:,1].astype('str'),h_test[:,2].astype('str'),h_test[:,3].astype('str'),h_test[:,4].astype('str'),h_test[:,5].astype('str'),h_test[:,6].astype('str'),h_test[:,7].astype('str')))
np.set_printoptions(suppress=True)
np.savetxt("l3mytest_5layers.csv", h_test, delimiter=",", fmt='%.8f')
print("Using Hidden_layer_size: " + str(hidden_layer_size1) + ", " + str(hidden_layer_size2) + ", " + str(hidden_layer_size3) + ", lambda: " + str(lambda_reg))
else:
print("Number of layers must be 3, 4 or 5")
#-----------------END BODY-----------------
| [
"yysy2@cam.ac.uk"
] | yysy2@cam.ac.uk |
3ecd780fadd66086a58de5752e5b3af54de3c7b4 | 49f7929ef547197b91aa0e40a49afcc27c64c069 | /PAC-MAN.py | cef0267d248167ffd585d2fae4ea5f3115ea49e3 | [] | no_license | lin233/PACMAN | bd4c74f99ec48c8588a693c43033e2faa0950c1e | bd967ecec7721245ce21fc8bfaa4358c1c967891 | refs/heads/master | 2023-01-05T23:33:26.524554 | 2017-10-08T12:59:24 | 2017-10-08T12:59:24 | 106,176,179 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 66,148 | py | # -*- coding:utf-8 -*-
#'eater.gif'是吃豆人的图像
#'demon.gif'是怪物的图像
# map1,map2,map3,map4,map5的txt文件中储存了要用的地图的墙的分割为小矩形的坐标
from Tkinter import *
from string import *
from random import random
from time import *
def rebackLevel1(): #第一关失败后重来的窗口按钮调用的函数，关闭该窗口并重新开始这一关
askFail.destroy() #关闭
paintCanvas1() #重开
def rebackLevel2(): #第二关失败后重来的窗口按钮调用的函数
askFail2.destroy()
paintCanvas2()
def rebackLevel3(): #第三关失败后重来的窗口按钮调用的函数
askFail3.destroy()
paintCanvas3()
def rebackLevel4(): #第四关失败后重来的窗口按钮调用的函数
askFail4.destroy()
paintCanvas4()
def rebackLevel5(): #第五关失败后重来的窗口按钮调用的函数
askFail5.destroy()
paintCanvas5()
def continueLevel2(): #第一关成功后继续的窗口按钮调用的函数，关闭该窗口并进行下一关
ask.destroy() #关闭
paintCanvas2() #重开
def continueLevel3(): #第二关成功后继续的窗口按钮调用的函数
ask2.destroy()
paintCanvas3()
def continueLevel4(): #第三关成功后继续的窗口按钮调用的函数
ask3.destroy()
paintCanvas4()
def continueLevel5(): #第四关成功后继续的窗口按钮调用的函数
ask4.destroy()
paintCanvas5()
def destroyI(): #无敌版胜利窗口的关闭
askI.destroy()
def rebackI(): #无敌版失败窗口的关闭和重开
askFailI.destroy() #关闭
Invincible() #重开
def Right(i,L,cv): #检验右边是否通路 ， 通路返回True ，不通返回 False。 #（i 是怪物的标签，L是关卡数，cv是画布，同下。）
#在第L关中检验怪物的右方是否为墙，为墙不通，没有墙则通 （Right,Left,Up,Down函数内部原理相同,就不多加赘述）
walls=[9,16,16,13,26,9] #每关中墙的最大图形项加一
xyb=list(cv.coords(i)) #返回怪物i的坐标
xyb_=list(cv.find_overlapping(xyb[0]-14+1,xyb[1]-14,xyb[0]+14+1,xyb[1]+14)) # 返回怪物右方一个像素的矩形范围内的图形项
if xyb_[0]<walls[L-1]: #因为墙的图形项是最小的那几个，所以只要第一项不是墙，就没有墙了
return False #撞墙了 返回False
return True #没撞墙 返回True
def Left(i,L,cv): #检验左边是否通路 ， 通路返回True ，不通返回 False #（i 是怪物的标签，L是关卡数，cv是画布，同下。）
walls=[9,16,16,13,26,9]
xyb=list(cv.coords(i))
xyb_=list(cv.find_overlapping(xyb[0]-14-1,xyb[1]-14,xyb[0]+14-1,xyb[1]+14))
if xyb_[0]<walls[L-1]:
return False
return True
def Up(i,L,cv): #检验上边是否通路，通路返回True ，不通返回 False #（i 是怪物的标签，L是关卡数，cv是画布，同下。）
walls=[9,16,16,13,26,9]
xyb=list(cv.coords(i))
xyb_=list(cv.find_overlapping(xyb[0]-14,xyb[1]-14-1,xyb[0]+14,xyb[1]+14-1))
if xyb_[0]<walls[L-1]:
return False
return True
def Down(i,L,cv): #检验下边是否通路，通路返回True，不通返回False #（i 是怪物的标签，L是关卡数，cv是画布，同下。）
walls=[9,16,16,13,26,9]
xyb=list(cv.coords(i))
xyb_=list(cv.find_overlapping(xyb[0]-14,xyb[1]-14+1,xyb[0]+14,xyb[1]+14+1))
if xyb_[0]<walls[L-1]:
return False
return True
def zhq(i,x,y,L,cv): #在第L关中检验怪物是否撞墙并移动
# i是怪物的标签 ， x,y是要前进的方向。x为正是向右，y为正向下。
walls=[9,16,16,13,26,9] #墙壁的最大图形项+1
xyb = list(cv.coords(i)) #返回怪物i的中心坐标
xyb_ = list(cv.find_overlapping(xyb[0] - 14 + x, xyb[1] - 14 + y, xyb[0] + 14 + x, xyb[1] + 14 + y)) #返回怪物前方一个像素的图形项并储存在列表中，以判断是否会撞墙
if xyb_[0] < walls[L-1]: #如果前方是墙
cv.move(i, 0, 0) #不移动
else: #前方没有墙
cv.move(i, x, y) #移动
def zhqEater(x,y,i,L,cv): #在第L关中检验吃豆人是否撞墙并移动，x,y是吃豆人要前进的方向，x是水平方向，向右为正，y是竖直方向，向下为正。i是吃豆人的标签，L是关卡数，cv是画布。
walls=[9,16,16,13,26,9] #墙壁的最大图形项+1
xyc__=list(cv.coords(i)) #返回吃豆人的中心坐标
xyc___=list(cv.find_overlapping(xyc__[0]-8+x,xyc__[1]-8+y,xyc__[0]+8+x,xyc__[1]+8+y)) #返回吃豆人的矩形范围前进的方向上的图形项，以判断是否会撞墙
if xyc___[0]<walls[L-1]: #撞墙了
cv.move(i, 0, 0) #不移动
else: #没有撞墙
cv.move(i, x, y) #移动
#吃豆人和怪物的移动函数相似，但是没有合并，因为参考范围的问题，怪物需要用的矩形范围是28*28，这样可以使怪物不会卡在道路中，否则Up Down函数的判定会出问题
#而吃豆人的参考范围只用了16*16，可以使吃豆人在转弯的时候的容错性更好，更容易转弯。
def budongle(i,x,y,L,cv): #当怪物走进死路的时候需要掉头 ，i是怪物的标签，x，y是怪物前进的方向，x水平，向右为正，y竖直，向下为正
back=0 # back是怪物四个方向是否为通路，每一个方向不通，则加一
#接下来判断每个方向是否通路，不通则 back 加 1
if Down(i,L,cv)==False:
back +=1
if Up(i,L,cv)==False:
back +=1
if Right(i,L,cv)==False:
back += 1
if Left(i,L,cv)==False:
back += 1
if back == 3: #如果back=3，就说明有三个方向都不通，说明走进了死路，需要掉头
return True #需要掉头返回True
def zhuan(i,a,b,L,cv): #使怪物转向：1.走进死路掉头，2：走到路口，随机转向（继续前进或掉头或转向）
# i是怪物的标签，a，b是现在的前进方向的参数，a为水平方向，向右为正，b是竖直方向，向下为正。
# 通过改变a,b的值并返回来改变前进方向
if budongle(i,a,b,L,cv): # 判读是否走进死路，如果是budongle会返回True 然后将前进方向掉头
return -a,-b # 将a，b变为相反数，即掉头
else:
if b == 0 : #目前处于水平运动状态
x=random() #生成一个随机数
if Up(i,L,cv) and Down(i,L,cv): #上下都通，则走到十字路口，接下来向四个方向的前进各占四分之一
if x > 0.75: #1/4
a,b = 0,-1 #向上走
elif x > 0.5: #1/4
a,b = 0,1 #向下走
elif x > 0.25: #1/4
a,b = -a,-b #掉头
#剩下的1/4，继续向前
elif Up(i,L,cv): #水平运动时，走到向上通路的路口
if x > 0.66: #1/3
a,b = 0,-1 #向上走
elif x > 0.33: #1/3
a,b = -a,-b #掉头
#剩下的1/3，继续向前
elif Down(i,L,cv): #水平运动时，走到向下通路的路口
if x > 0.66:
a,b = 0,1 #向下走
elif x > 0.33:
a,b = -a,-b #向反方向走
else: #目前处于上下运动状态
y=random() #生成一个随机数
if Right(i,L,cv) and Left(i,L,cv): #上下运动时走到了十字路口，四个方向各四分之一的机率
if y > 0.75: #1/4
a,b = -1,0 #向左走
elif y > 0.5: #1/4
a,b = 1,0 #向右走
elif y > 0.25: #1/4
a,b = -a,-b #向反方向走
#剩下的1/4，不变
elif Right(i,L,cv): #上下运动时，走到了能够右转的路口
if y > 0.66:
a,b = 1,0 #向右走
elif y > 0.33:
a,b = -a,-b #向反方向走
elif Left(i,L,cv): #上下运动时，走到了能够左转的路口
if y > 0.66:
a,b = -1,0 #向左走
elif y > 0.33:
a,b = -a,-b #向反方向走
return a,b
def movetriangle(event): #移动吃豆人 绑定键盘事件
global c #c,d是吃豆人的移动时候的参数，c是水平方向的，向右为正
global d #d是竖直方向的，向下为正
if event.keysym == 'Up': #如果按 ↑ 键，改变吃豆人的前进方向为向上 ，
c,d=0,-1
elif event.keysym == 'Down': #如果按 ↓ 键， 改变吃豆人的前进方向为向下
c,d=0,1
elif event.keysym == 'Left': #如果按 ← 键， 改变吃豆人的前进方向为向左
c,d = -1,0
elif event.keysym == 'Right': #如果按 → 键， 改变吃豆人的前进方向为向右
c,d = 1,0
def deleteBeans(maps,cv,L): #在第L关中的地图上除去与墙重叠的豆子。
#maps是储存了地图中的墙壁的矩形范围的坐标的txt文件
#txt文件中以每一个点的坐标为一行，两个点确定一个矩形
itemsBesidesBeans=[13,20,20,17,30,13] #每关中墙块、吃豆人和怪物的总数
f = open(maps, "r") #读入地图中的矩形的大致坐标
r = f.readlines() #全部读取
list1 = [] #创建用来存储坐标的list1
for i in r:
a = i.split() #将r拆分为坐标数值的列表，以逗号的换行符为分隔
for t in a: #遍历列表
t = int(t) #将列表中的元素类别转化为数值
s = (t + 5) / 10 * 10 #四舍五入精确坐标
list1.append(s) #添加到list1中
# 坐标分类
# 因为此时list1中的坐标数值是以' x1,x2,y1,y2 ,x1,x2,y1,y2 …… '的形式存在的，
listx1 = [] # 所以在这里将其分类到专门存储x1,x2,y1,y2的四个列表中
listy1 = []
listx2 = []
listy2 = []
for i in range(0, len(list1), 4): #每四个为一组 因为两个点确定一个矩形，所以四个一组确定一个矩形
listx1.append(list1[i]) #将所有的x1,y1,x2,y2坐标分别放在listx1,listy1,listx2,listy2中
listy1.append(list1[i + 1])
listx2.append(list1[i + 2])
listy2.append(list1[i + 3])
for i in range(len(listx1)): #遍历坐标列表，四个一组为一个地图的矩形坐标
x1 = listx1[i]
y1 = listy1[i]
x2 = listx2[i]
y2 = listy2[i]
list3 = list(cv.find_overlapping(x1, y1, x2, y2)) # 找出与地图重叠的豆豆，储存在list3中
for t in list3: #遍历list3,
if t > itemsBesidesBeans[L-1]:#如果t的图形项大于吃豆人怪物墙壁，那么t就是豆豆的图形项
cv.delete(t) # 删掉豆豆
def eat(cv,i,L,beans,windows):
global life,score
positionOfEater=[97,97,97,68,97,97] #吃豆人在每关中的初始位置和复活位置
xPositionOfDemons=[355,415,355,275,215,355] #怪物在每关中的复活位置
itemsOfWallsAndEater=[9,16,16,13,26,9] #每关中墙块和吃豆人的总数
itemsBesidesBeans=[13,20,20,17,30,13] #每关中墙块、吃豆人和怪物的总数
xya1 = list(cv.coords(i)) # 报告吃豆人的中心坐标,存储形式：xya1=[x1,y1,x2,y2]
xya = list(cv.find_overlapping(xya1[0] - 10, xya1[1] - 10, xya1[0] + 10, xya1[
1] + 10)) # 用find_overlapping找出与吃豆人矩形范围内重叠的其他图形（豆豆）的标识号，存到列表中
for n in xya: # 对于xya中的图形项
if n > itemsBesidesBeans[L-1]: #如果是豆豆
cv.delete(n) #吃掉豆豆
score+=10 #分数+10
if n == beans[-1] or n == beans[-2]: #吃掉大豆豆
score += 50 #分数+50
life += 1 #生命值+1
Label(windows, text="Your scores: %d"%(score), fg='black', font="Times -15 bold",
bg='LightSkyBlue').place(x=300, y=0, anchor=N)
#写有分数的标签 每次在吃掉一个豆豆后更新
Label(windows, text="Your lives: %d" % (life), fg='black', font="Times -15 bold",
bg='LightSkyBlue').place(x=300, y=600, anchor=S)
#更新写有生命值的标签
elif n > itemsOfWallsAndEater[L-1]: #碰到了怪物
sleep(0.5) #给玩家一个反应的时间
cv.move(i,positionOfEater[L-1]-xya1[0],positionOfEater[L-1]-xya1[1])
#吃豆人回到初始位置
xyn = list(cv.coords(n))
cv.move(n,xPositionOfDemons[L-1]-xyn[0],300-xyn[1])
#怪物回到复活位置
life=life-1 #生命值-1
Label(windows, text="Your lives: %d" % (life), fg='black', font="Times -15 bold",
bg='LightSkyBlue').place(x=300, y=600, anchor=S)
#更新写有生命值的标签
def paintCanvas1(): #LEVEL1 第一关
global askFail
global score,life
life = 3 #吃豆人的初始生命值
score = 0 #初试分数
win1 = Toplevel()
win1.resizable(0,0) #固定窗口界面，使不能最大化窗口
bg1 = Canvas(win1, width=600, height=600, bg="white") # 画布创建
bg1.pack() #画布展开
global a1
p1 = (20, 20, 580, 20, 580, 580, 20, 580, 20, 20) # 地图墙壁多边形的坐标
pw1 = (20, 20, 580, 20, 580, 580, 20, 580, 20, 80, 80, 80, 80, 490, 490, 490, 490, 80, 20, 80)
pw2 = (110, 110, 200, 110, 200, 230, 110, 230)
pw3 = (230, 110, 340, 110, 340, 230, 230, 230)
pw4 = (370, 110, 460, 110, 460, 230, 370, 230)
pw5 = (110, 260, 340, 260, 340, 340, 110, 340)
pw6 = (370, 260, 460, 260, 460, 340, 370, 340)
pw7 = (110, 370, 340, 370, 340, 460, 110, 460)
pw8 = (370, 370, 460, 370, 460, 460, 370, 460)
w1_1 = bg1.create_polygon(pw1, outline="", fill="LightSkyBlue") # 地图多边形的创建
w1_2 = bg1.create_polygon(pw2, outline="", fill="LightSkyBlue")
w1_3 = bg1.create_polygon(pw3, outline="", fill="LightSkyBlue")
w1_4 = bg1.create_polygon(pw4, outline="", fill="LightSkyBlue")
w1_5 = bg1.create_polygon(pw5, outline="", fill="LightSkyBlue")
w1_6 = bg1.create_polygon(pw6, outline="", fill="LightSkyBlue")
w1_7 = bg1.create_polygon(pw7, outline="", fill="LightSkyBlue")
w1_8 = bg1.create_polygon(pw8, outline="", fill="LightSkyBlue")
pic = PhotoImage(file="eater.gif") # 吃豆人，eater.gif是吃豆人的图片
a1 = bg1.create_image(97, 97, image=pic, anchor=CENTER) # 初始放置吃豆人
dem = PhotoImage(file="demon.gif") # 怪物，demon.gif是怪物的图片
a10 = bg1.create_image(355,324, image=dem,anchor=CENTER) #初始放置怪物
a11 = bg1.create_image(475,474, image=dem,anchor=CENTER)
a12 = bg1.create_image(475,95, image=dem,anchor=CENTER)
a13 = bg1.create_image(95,474, image=dem,anchor=CENTER)
Label(win1, text="LEVEL 1", fg='black', font="Times -30 bold",
bg='LightSkyBlue').place(x=500, y=50, anchor=CENTER)
#放置表示关卡数的标签
for i in range(14): # 将地图铺满豆豆
for j in range(14):
bij = (90 + i * 29, 90 + j * 29, 100 + i * 29, 100 + j * 29)
#豆豆的坐标（每隔29个像素，铺一个豆豆，铺满地图）
bi_j = bg1.create_oval(bij, outline="pink", fill="pink")#豆豆的形状：圆形 以及 颜色：粉色
bigbean1=bg1.create_oval(346,232,366,252,outline='GreenYellow',fill='GreenYellow') # 放置两个大豆子
bigbean2=bg1.create_oval(230,467,250,487,outline='GreenYellow',fill='GreenYellow')
bean=list(bg1.find_overlapping(0, 0, 600, 600)) #地图上所有的图形项，存储在列表bean
bean1=bean[0:len(bean)] #深拷贝bean
deleteBeans("map1.txt",bg1,1) #删除与墙重叠的豆豆
global c
global d
global a
global b
c,d = 1,0 #c,d 是吃豆人的初始移动方向
x0,y0 = -1,0 #x,y 是怪物的初始移动方向
x1,y1 = -1,0
x2,y2 = -1,0
x3,y3 = -1,0
while True:
bg1.bind_all('<KeyPress-Up>', movetriangle) #绑定键盘事件与更改吃豆人移动参数的函数
bg1.bind_all('<KeyPress-Down>', movetriangle)
bg1.bind_all('<KeyPress-Left>', movetriangle)
bg1.bind_all('<KeyPress-Right>', movetriangle)
zhqEater(c,d,a1,1,bg1) #在第L关中检验吃豆人是否撞墙并移动
eat(bg1,a1,1,bean1,win1) #游戏进行，吃豆子&碰怪物
zhq(a10,x0,y0,1,bg1) #四个怪物的移动
x0,y0=zhuan(a10,x0,y0,1,bg1)
zhq(a11,x1,y1,1,bg1)
x1,y1=zhuan(a11,x1,y1,1,bg1)
zhq(a12,x2,y2,1,bg1)
x2,y2=zhuan(a12,x2,y2,1,bg1)
zhq(a13,x3,y3,1,bg1)
x3,y3=zhuan(a13,x3,y3,1,bg1)
bg1.update()
sleep(0.001)
if life == 0 : #life为0，Game Over
askFail = Toplevel(height=200, width=400)
askFail.resizable(0,0)
askCanvas = Canvas(askFail, width=198, height=171, bg="white")
askCanvas.grid(row=9)
fail = PhotoImage(file="hahaha.gif")
failing = askCanvas.create_image(99, 85, image=fail, anchor=CENTER)
Label(askFail, text=" 失败！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(askFail, text="重头开始？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
backButton = Button(askFail, text="ok", font="Times -20 bold", bg="black",
fg="white", command=rebackLevel1).grid(row=12)
win1.destroy()
global ask
itemsBesidesBeans=[13,20,20,17,30] #墙块、吃豆人和怪物的总数（即不包括豆豆的最大图形项）
final=list(bg1.find_overlapping(0,0,600,600)) #返回现在地图上所存在的所有图形项
if final[-1] == itemsBesidesBeans[0] : #如果最后一项是怪物的图形项，说明豆豆已经被吃完了
#因为豆豆的图形项是比怪物墙壁吃豆人的大的，所以如果还有豆豆肯定在最后
#所以如果最后一项不是豆豆，就说明豆豆吃完了
ask = Toplevel(height=200, width=400)
ask.resizable(0,0)
askCanvas2 = Canvas(ask, width=178, height=179, bg="white")
askCanvas2.grid(row=9)
winwin = PhotoImage(file="winwinwin.gif")
winPicture = askCanvas2.create_image(89, 89, image=winwin, anchor=CENTER)
Label(ask, text=" 通关！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(ask, text="继续下一关？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
continueButton = Button(ask, text="ok", font="Times -20 bold", bg="black",
fg="white", command=continueLevel2).grid(row=12)
win1.destroy()
def paintCanvas2():#LEVEL2 #注释同第一关
global askFail2
global score,life
life = 3
score = 0
win2 = Toplevel()
win2.resizable(0,0) #固定窗口界面，使不能最大化窗口
bg2 = Canvas(win2, width=600, height=600, bg="white") # 画布
bg2.pack()
global a2
p2 = (20, 0, 20, 20, 580, 20, 580, 0)
pw1 = (20, 20, 50, 20, 50, 550, 550, 550, 550, 20, 580, 20, 580, 580, 20, 580) #地图墙壁的多边形的坐标
pw2 = (80, 50, 430, 50, 430, 80, 80, 80)
pw3 = (460, 50, 520, 50, 520, 310, 490, 310, 490, 80, 460, 80)
pw4 = (490, 340, 520, 340, 520, 520, 430, 520, 430, 490, 490, 490)
pw5 = (80, 490, 400, 490, 400, 520, 80, 520)
pw6 = (80, 230, 110, 230, 110, 460, 80, 460)
pw7 = (80, 110, 310, 110, 310, 140, 110, 140, 110, 200, 80, 200)
pw8 = (340, 110, 460, 110, 460, 230, 430, 230, 430, 140, 340, 140)
pw9 = (430, 260, 460, 260, 460, 460, 340, 460, 340, 430, 430, 430)
pw10 = (140, 290, 170, 290, 170, 430, 310, 430, 310, 460, 140, 460)
pw11 = (140, 170, 400, 170, 400, 400, 370, 400, 370, 200, 170, 200, 170, 260, 140, 260)
pw12 = (200, 230, 340, 230, 340, 260, 200, 260)
pw13 = (260, 290, 340, 290, 340, 340, 260, 340)
pw14 = (200, 290, 230, 290, 230, 370, 340, 370, 340, 400, 200, 400)
ol2 = bg2.create_polygon(p2, outline='', fill="LightSkyBlue") #地图墙壁的多边形的创建
w2_1 = bg2.create_polygon(pw1, outline="", fill="LightSkyBlue")
w2_2 = bg2.create_polygon(pw2, outline="", fill="LightSkyBlue")
w2_3 = bg2.create_polygon(pw3, outline="", fill="LightSkyBlue")
w2_4 = bg2.create_polygon(pw4, outline="", fill="LightSkyBlue")
w2_5 = bg2.create_polygon(pw5, outline="", fill="LightSkyBlue")
w2_6 = bg2.create_polygon(pw6, outline="", fill="LightSkyBlue")
w2_7 = bg2.create_polygon(pw7, outline="", fill="LightSkyBlue")
w2_8 = bg2.create_polygon(pw8, outline="", fill="LightSkyBlue")
w2_9 = bg2.create_polygon(pw9, outline="", fill="LightSkyBlue")
w2_10 = bg2.create_polygon(pw10, outline="", fill="LightSkyBlue")
w2_11 = bg2.create_polygon(pw11, outline="", fill="LightSkyBlue")
w2_12 = bg2.create_polygon(pw12, outline="", fill="LightSkyBlue")
w2_13 = bg2.create_polygon(pw13, outline="", fill="LightSkyBlue")
w2_14 = bg2.create_polygon(pw14, outline="", fill="LightSkyBlue")
pic = PhotoImage(file="eater.gif") # 吃豆人
a2 = bg2.create_image(97, 97, image=pic, anchor=CENTER)
dem = PhotoImage(file="demon.gif") # 怪物
a20 = bg2.create_image(415,300, image=dem,anchor=CENTER)
a21 = bg2.create_image(95,535 ,image=dem,anchor=CENTER)
a22 = bg2.create_image(535,534, image=dem,anchor=CENTER)
a23 = bg2.create_image(535,95, image=dem,anchor=CENTER)
Label(win2, text="LEVEL 2", fg='black', font="Times -20 bold",
bg='LightSkyBlue').place(x=130, y=65, anchor=CENTER)
for i in range(18): #将地图铺满豆豆
for j in range(18):
bij = (32 + i * 29, 32 + j * 29, 42 + i * 29, 42 + j * 29)
bi_j = bg2.create_oval(bij, outline="pink", fill="pink")
bigbean1=bg2.create_oval(346,232,366,252,outline='GreenYellow',fill='GreenYellow') # 放置两个大豆子
bigbean2=bg2.create_oval(230,467,250,487,outline='GreenYellow',fill='GreenYellow')
bean=list(bg2.find_overlapping(0, 0, 600, 600))
bean2=bean[0:len(bean)]
deleteBeans("map2.txt",bg2,2)
global c
global d
x0_,y0_=-1,0
c,d=1,0
x1_,y1_ = -1,0
x2_,y2_ = -1,0
x3_,y3_ = -1,0
while True:
bg2.bind_all('<KeyPress-Up>',movetriangle)
bg2.bind_all('<KeyPress-Down>',movetriangle)
bg2.bind_all('<KeyPress-Left>',movetriangle)
bg2.bind_all('<KeyPress-Right>',movetriangle)
zhqEater(c,d,a2,2,bg2)
eat(bg2,a2,2,bean2,win2)
zhq(a20,x0_,y0_,2,bg2)
x0_,y0_=zhuan(a20,x0_,y0_,2,bg2)
zhq(a21,x1_,y1_,2,bg2)
x1_,y1_=zhuan(a21,x1_,y1_,2,bg2)
zhq(a22,x2_,y2_,2,bg2)
x2_,y2_=zhuan(a22,x2_,y2_,2,bg2)
zhq(a23,x3_,y3_,2,bg2)
x3_,y3_=zhuan(a23,x3_,y3_,2,bg2)
bg2.update()
sleep(0.001)
if life == 0 : #Game Over
askFail2 = Toplevel(height=200, width=400)
askFail2.resizable(0,0)
askCanvas = Canvas(askFail2, width=198, height=171, bg="white")
askCanvas.grid(row=9)
fail = PhotoImage(file="hahaha.gif")
failing = askCanvas.create_image(99, 85, image=fail, anchor=CENTER)
Label(askFail2, text=" 失败！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(askFail2, text="重头开始？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
backButton = Button(askFail2, text="ok", font="Times -20 bold", bg="black",
fg="white", command=rebackLevel2).grid(row=12)
win2.destroy()
global ask2
itemsBesidesBeans=[13,20,20,17,30]
final=list(bg2.find_overlapping(0,0,600,600))
if final[-1] == itemsBesidesBeans[1] :
ask2 = Toplevel(height=200, width=400)
ask2.resizable(0,0)
askCanvas2 = Canvas(ask2, width=178, height=179, bg="white")
askCanvas2.grid(row=9)
winwin = PhotoImage(file="winwinwin.gif")
winPicture = askCanvas2.create_image(89, 89, image=winwin, anchor=CENTER)
Label(ask2, text=" 通关！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(ask2, text="继续下一关？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
continueButton = Button(ask2, text="ok", font="Times -20 bold", bg="black",
fg="white", command=continueLevel3).grid(row=12)
win2.destroy()
def paintCanvas3():#LEVEL3 #注释同第一关
global askFail3
global win3
global bg3
global score,life
life = 3
score = 0
win3 = Toplevel()
win3.resizable(0,0) #固定窗口界面，使不能最大化窗口
bg3 = Canvas(win3, width=600, height=600, bg="white") # 画布
bg3.pack()
global a3
p31 = (0, 0, 0, 600, 600, 600, 600, 0, 580, 0, 580, 580, 20, 580, 20, 0)
p32 = (20, 0, 20, 20, 580, 20, 580, 0)
pw1 = (50, 50, 370, 50, 370, 80, 310, 80, 310, 140, 230, 140, 230, 80, 50, 80)
pw2 = (400, 50, 550, 50, 550, 80, 430, 80, 430, 140, 340, 140, 340, 110, 400, 110)
pw3 = (20, 110, 200, 110, 200, 140, 20, 140)
pw4 = (460, 110, 550, 110, 550, 200, 290, 200, 290, 170, 460, 170)
pw5 = (50, 170, 260, 170, 260, 260, 50, 260)
pw6 = (290, 230, 490, 230, 490, 310, 400, 310, 400, 370, 370, 370, 370, 260, 290, 260)
pw7 = (520, 230, 580, 230, 580, 490, 520, 490, 520, 430, 490, 430, 490, 400, 520, 400)
pw8 = (20, 290, 340, 290, 340, 370, 260, 370, 260, 430, 170, 430, 170, 400, 230, 400, 230, 310, 20, 310)
pw9 = (50, 340, 200, 340, 200, 370, 140, 370, 140, 430, 50, 430)
pw10 = (430, 340, 490, 340, 490, 370, 460, 370, 460, 460, 490, 460, 490, 520, 550, 520,
550, 550, 400, 550, 400, 490, 370, 490, 370, 400, 430, 400)
pw11 = (290, 400, 340, 400, 340, 490, 310, 490, 310, 550, 230, 550, 230, 460, 290, 460)
pw12 = (50, 460, 200, 460, 200, 550, 50, 550)
pw13 = (340, 520, 370, 520, 370, 580, 340, 580)
w3_14 = bg3.create_polygon(p31, fill="LightSkyBlue")
w3_15 = bg3.create_polygon(p32, fill="LightSkyBlue")
w3_1 = bg3.create_polygon(pw1, outline="", fill="LightSkyBlue")
w3_2 = bg3.create_polygon(pw2, outline="", fill="LightSkyBlue")
w3_3 = bg3.create_polygon(pw3, outline="", fill="LightSkyBlue")
w3_4 = bg3.create_polygon(pw4, outline="", fill="LightSkyBlue")
w3_5 = bg3.create_polygon(pw5, outline="", fill="LightSkyBlue")
w3_6 = bg3.create_polygon(pw6, outline="", fill="LightSkyBlue")
w3_7 = bg3.create_polygon(pw7, outline="", fill="LightSkyBlue")
w3_8 = bg3.create_polygon(pw8, outline="", fill="LightSkyBlue")
w3_9 = bg3.create_polygon(pw9, outline="", fill="LightSkyBlue")
w3_10 = bg3.create_polygon(pw10, outline="", fill="LightSkyBlue")
w3_11 = bg3.create_polygon(pw11, outline="", fill="LightSkyBlue")
w3_12 = bg3.create_polygon(pw12, outline="", fill="LightSkyBlue")
w3_13 = bg3.create_polygon(pw13, outline="", fill="LightSkyBlue")
pic = PhotoImage(file="eater.gif") # 吃豆人
a3 = bg3.create_image(97, 97, image=pic, anchor=CENTER)
dem = PhotoImage(file="demon.gif") # 怪物
a30 = bg3.create_image(355,300, image=dem,anchor=CENTER)
a31 = bg3.create_image(95,565, image=dem,anchor=CENTER)
a32 = bg3.create_image(565,565, image=dem,anchor=CENTER)
a33 = bg3.create_image(565,95, image=dem,anchor=CENTER)
Label(win3, text="LEVEL 3", fg='black', font="Times -30 bold",
bg='LightSkyBlue').place(x=152, y=212, anchor=CENTER)
for i in range(19):
for j in range(19):
bij = (32 + i * 29, 32 + j * 29, 42 + i * 29, 42 + j * 29)
bi_j = bg3.create_oval(bij, outline="pink", fill="pink")
bigbean1=bg3.create_oval(205,435,225,455,outline='GreenYellow',fill='GreenYellow') # 放置两个大豆子
bigbean2=bg3.create_oval(490,205,510,225,outline='GreenYellow',fill='GreenYellow')
bean=list(bg3.find_overlapping(0, 0, 600, 600))
bean3=bean[0:len(bean)]
deleteBeans("map3.txt",bg3,3)
global c
global d
x0__,y0__=-1,0
c,d=1,0
x1__,y1__= -1,0
x2__,y2__= -1,0
x3__,y3__ = -1,0
while True:
bg3.bind_all('<KeyPress-Up>', movetriangle)
bg3.bind_all('<KeyPress-Down>', movetriangle)
bg3.bind_all('<KeyPress-Left>', movetriangle)
bg3.bind_all('<KeyPress-Right>', movetriangle)
zhqEater(c,d,a3,3,bg3)
eat(bg3,a3,3,bean3,win3)
zhq(a30,x0__,y0__,3,bg3)
x0__,y0__=zhuan(a30,x0__,y0__,3,bg3)
zhq(a31,x1__,y1__,3,bg3)
x1__,y1__=zhuan(a31,x1__,y1__,3,bg3)
zhq(a32,x2__,y2__,3,bg3)
x2__,y2__=zhuan(a32,x2__,y2__,3,bg3)
zhq(a33,x3__,y3__,3,bg3)
x3__,y3__=zhuan(a33,x3__,y3__,3,bg3)
bg3.update()
sleep(0.001)
if life == 0 : #Game Over
askFail3 = Toplevel(height=200, width=400)
askFail3.resizable(0,0)
askCanvas = Canvas(askFail3, width=198, height=171, bg="white")
askCanvas.grid(row=9)
fail = PhotoImage(file="hahaha.gif")
failing = askCanvas.create_image(99, 85, image=fail, anchor=CENTER)
Label(askFail3, text=" 失败！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(askFail3, text="重头开始？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
backButton = Button(askFail3, text="ok", font="Times -20 bold", bg="black",
fg="white", command=rebackLevel3).grid(row=12)
win3.destroy()
global ask3
itemsBesidesBeans=[13,20,20,17,30]
final=list(bg3.find_overlapping(0,0,600,600))
if final[-1] == itemsBesidesBeans[2] :
ask3 = Toplevel(height=200, width=400)
ask3.resizable(0,0)
askCanvas2 = Canvas(ask3, width=178, height=179, bg="white")
askCanvas2.grid(row=9)
winwin = PhotoImage(file="winwinwin.gif")
winPicture = askCanvas2.create_image(89, 89, image=winwin, anchor=CENTER)
Label(ask3, text=" 通关！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(ask3, text="继续下一关？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
continueButton = Button(ask3, text="ok", font="Times -20 bold", bg="black",
fg="white", command=continueLevel4).grid(row=12)
win3.destroy()
def paintCanvas4(): #LEVEL4 #注释同第一关
global askFail4
global win4
global bg4
global score,life
life = 3
score = 0
win4 = Toplevel()
win4.resizable(0,0) #固定窗口界面，使不能最大化窗口
bg4 = Canvas(win4, width=600, height=600, bg="white") # 画布
bg4.pack()
global a4
p41 = (0, 0, 0, 600, 600, 600, 600, 0, 580, 0, 580, 580, 20, 580, 20, 0)
p42 = (20, 0, 20, 20, 580, 20, 580, 0)
pw1 = (20, 20, 580, 20, 580, 310, 550, 310, 550, 430, 520, 430, 520, 230, 430, 230,
430, 310, 370, 310, 370, 200, 340, 200, 340, 170, 310, 170, 310, 230, 340, 230,
340, 310, 290, 310, 290, 140, 400, 140, 400, 200, 520, 200, 520, 50, 50, 50, 50, 460,
110, 460, 110, 550, 370, 550, 370, 580, 20, 580)
pw2 = (80, 80, 170, 80, 170, 110, 110, 110, 110, 140, 200, 140, 200, 80, 260, 80, 260, 310,
200, 310, 200, 170, 80, 170)
pw3 = (290, 80, 490, 80, 490, 170, 430, 170, 430, 110, 290, 110)
pw4 = (80, 200, 170, 200, 170, 310, 80, 310)
pw5 = (460, 260, 490, 260, 490, 430, 290, 430, 290, 340, 460, 340)
pw6 = (80, 340, 170, 340, 170, 460, 370, 460, 370, 520, 140, 520, 140, 430, 80, 430)
pw7 = (200, 340, 260, 340, 260, 430, 200, 430)
pw8 = (400, 460, 460, 460, 460, 490, 430, 490, 430, 520, 460, 520, 460, 550, 400, 550)
pw9 = (490, 460, 550, 460, 550, 520, 490, 520)
pw10 = (490, 550, 580, 550, 580, 580, 490, 580)
o41 = bg4.create_polygon(p41, fill="LightSkyBlue")
o42 = bg4.create_polygon(p42, fill="LightSkyBlue")
w4_1 = bg4.create_polygon(pw1, outline="", fill="LightSkyBlue")
w4_2 = bg4.create_polygon(pw2, outline="", fill="LightSkyBlue")
w4_3 = bg4.create_polygon(pw3, outline="", fill="LightSkyBlue")
w4_4 = bg4.create_polygon(pw4, outline="", fill="LightSkyBlue")
w4_5 = bg4.create_polygon(pw5, outline="", fill="LightSkyBlue")
w4_6 = bg4.create_polygon(pw6, outline="", fill="LightSkyBlue")
w4_7 = bg4.create_polygon(pw7, outline="", fill="LightSkyBlue")
w4_8 = bg4.create_polygon(pw8, outline="", fill="LightSkyBlue")
w4_9 = bg4.create_polygon(pw9, outline="", fill="LightSkyBlue")
w4_10 = bg4.create_polygon(pw10, outline="", fill="LightSkyBlue")
pic = PhotoImage(file="eater.gif") # 吃豆人
a4 = bg4.create_image(68, 68, image=pic, anchor=CENTER)
dem = PhotoImage(file="demon.gif") # 怪物
a40 = bg4.create_image(275,300,image=dem,anchor=CENTER)
a41 = bg4.create_image(565,534, image=dem,anchor=CENTER)
a42 = bg4.create_image(505,100, image=dem,anchor=CENTER)
a43 = bg4.create_image(130,535, image=dem,anchor=CENTER)
Label(win4, text="LEVEL 4", fg='black', font="Times -30 bold",
bg='LightSkyBlue').place(x=120, y=27, anchor=CENTER)
for i in range(19):
for j in range(19):
bij = (32 + i * 29, 32 + j * 29, 42 + i * 29, 42 + j * 29)
bi_j = bg4.create_oval(bij, outline="pink", fill="pink")
bigbean1=bg4.create_oval(465,520,485,540,outline='GreenYellow',fill='GreenYellow') # 放置两个大豆子
bigbean2=bg4.create_oval(345,205,365,225,outline='GreenYellow',fill='GreenYellow')
bean=list(bg4.find_overlapping(0, 0, 600, 600))
bean4=bean[0:len(bean)]
deleteBeans("map4.txt",bg4,4)
global c
global d
x0___,y0___=-1,0
c,d=1,0
x1___,y1___= -1,0
x2___,y2___= -1,0
x3___,y3___= -1,0
while True:
bg4.bind_all('<KeyPress-Up>', movetriangle)
bg4.bind_all('<KeyPress-Down>', movetriangle)
bg4.bind_all('<KeyPress-Left>', movetriangle)
bg4.bind_all('<KeyPress-Right>', movetriangle)
zhqEater(c, d,a4,4,bg4)
eat(bg4,a4,4,bean4,win4)
zhq(a40,x0___,y0___,4,bg4)
x0___,y0___=zhuan(a40,x0___,y0___,4,bg4)
zhq(a41,x1___,y1___,4,bg4)
x1___,y1___=zhuan(a41,x1___,y1___,4,bg4)
zhq(a42,x2___,y2___,4,bg4)
x2___,y2___=zhuan(a42,x2___,y2___,4,bg4)
zhq(a43,x3___,y3___,4,bg4)
x3___,y3___=zhuan(a43,x3___,y3___,4,bg4)
bg4.update()
sleep(0.001)
if life == 0 : #Game Over
askFail4 = Toplevel(height=200, width=400)
askFail4.resizable(0,0)
askCanvas = Canvas(askFail4, width=198, height=171, bg="white")
askCanvas.grid(row=9)
fail = PhotoImage(file="hahaha.gif")
failing = askCanvas.create_image(99, 85, image=fail, anchor=CENTER)
Label(askFail4, text=" 失败！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(askFail4, text="重头开始？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
backButton = Button(askFail4, text="ok", font="Times -20 bold", bg="black",
fg="white", command=rebackLevel4).grid(row=12)
win4.destroy()
global ask4
itemsBesidesBeans=[13,20,20,17,30]
final=list(bg4.find_overlapping(0,0,600,600))
if final[-1] == itemsBesidesBeans[3] :
ask4 = Toplevel(height=200, width=400)
ask4.resizable(0,0)
askCanvas2 = Canvas(ask4, width=178, height=179, bg="white")
askCanvas2.grid(row=9)
winwin = PhotoImage(file="winwinwin.gif")
winPicture = askCanvas2.create_image(89, 89, image=winwin, anchor=CENTER)
Label(ask4, text=" 通关！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(ask4, text="继续下一关？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
continueButton = Button(ask4, text="ok", font="Times -20 bold", bg="black",
fg="white", command=continueLevel5).grid(row=12)
win4.destroy()
def paintCanvas5(): #LEVEL5 #注释同第一关
global askFail5
global win5
global bg5
global score,life
life = 3
score = 0
win5 = Toplevel()
win5.resizable(0,0) #固定窗口界面，使不能最大化窗口
bg5 = Canvas(win5, width=600, height=600, bg="white") # 画布
bg5.pack()
global a5
p51 = (0, 0, 0, 600, 600, 600, 600, 0, 580, 0, 580, 580, 20, 580, 20, 0)
p52 = (20, 0, 20, 20, 580, 20, 580, 0)
pw1 = (230, 20, 260, 20, 260, 80, 200, 80, 200, 110, 260, 110, 260, 170, 230, 170,
230, 140, 170, 140, 170, 50, 230, 50)
pw2 = (400, 20, 460, 20, 460, 50, 430, 50, 430, 140, 340, 140, 340, 110, 400, 110)
pw3 = (490, 20, 580, 20, 580, 50, 490, 50)
pw4 = (50, 50, 140, 50, 140, 140, 110, 140, 110, 80, 50, 80)
pw5 = (290, 50, 370, 50, 370, 80, 310, 80, 310, 260, 290, 260, 290, 230, 260, 230,
260, 260, 230, 260, 230, 200, 290, 200)
pw6 = (460, 80, 490, 80, 490, 140, 460, 140)
pw7 = (520, 80, 550, 80, 550, 200, 340, 200, 340, 170, 520, 170)
pw8 = (20, 110, 80, 110, 80, 140, 20, 140)
pw9 = (50, 170, 80, 170, 80, 230, 200, 230, 200, 340, 260, 340, 260, 370, 170, 370,
170, 260, 140, 260, 140, 370, 50, 370, 50, 340, 110, 340, 110, 260, 50, 260)
pw10 = (110, 170, 200, 170, 200, 200, 110, 200)
pw11 = (520, 230, 580, 230, 580, 260, 520, 260)
pw12 = (340, 230, 490, 230, 490, 260, 400, 260, 400, 370, 310, 370, 310, 430, 140, 430,
140, 550, 110, 550, 110, 400, 290, 400, 290, 340, 370, 340, 370, 260, 340, 260)
pw13 = (20, 290, 80, 290, 80, 310, 20, 310)
pw14 = (230, 290, 340, 290, 340, 310, 230, 310)
pw15 = (430, 290, 550, 290, 550, 370, 520, 370, 520, 310, 430, 310)
pw16 = (430, 340, 490, 340, 490, 370, 460, 370, 460, 430, 370, 430, 370, 460, 430, 460,
430, 550, 400, 550, 400, 490, 310, 490, 310, 550, 290, 550, 290, 460, 340, 460,
340, 400, 430, 400)
pw17 = (20, 400, 80, 400, 80, 430, 20, 430)
pw18 = (490, 400, 550, 400, 550, 490, 520, 490, 520, 430, 490, 430)
pw19 = (50, 460, 80, 460, 80, 550, 50, 550)
pw20 = (170, 460, 200, 460, 200, 580, 170, 580)
pw21 = (230, 460, 260, 460, 260, 550, 230, 550)
pw22 = (460, 460, 490, 460, 490, 520, 550, 520, 550, 550, 460, 550)
pw23 = (340, 520, 370, 520, 370, 580, 340, 580)
w5_24 = bg5.create_polygon(p51, fill="LightSkyBlue")
w5_25 = bg5.create_polygon(p52, fill="LightSkyBlue")
w5_1 = bg5.create_polygon(pw1, outline="", fill="LightSkyBlue")
w5_2 = bg5.create_polygon(pw2, outline="", fill="LightSkyBlue")
w5_3 = bg5.create_polygon(pw3, outline="", fill="LightSkyBlue")
w5_4 = bg5.create_polygon(pw4, outline="", fill="LightSkyBlue")
w5_5 = bg5.create_polygon(pw5, outline="", fill="LightSkyBlue")
w5_6 = bg5.create_polygon(pw6, outline="", fill="LightSkyBlue")
w5_7 = bg5.create_polygon(pw7, outline="", fill="LightSkyBlue")
w5_8 = bg5.create_polygon(pw8, outline="", fill="LightSkyBlue")
w5_9 = bg5.create_polygon(pw9, outline="", fill="LightSkyBlue")
w5_10 = bg5.create_polygon(pw10, outline="", fill="LightSkyBlue")
w5_11 = bg5.create_polygon(pw11, outline="", fill="LightSkyBlue")
w5_12 = bg5.create_polygon(pw12, outline="", fill="LightSkyBlue")
w5_13 = bg5.create_polygon(pw13, outline="", fill="LightSkyBlue")
w5_14 = bg5.create_polygon(pw14, outline="", fill="LightSkyBlue")
w5_15 = bg5.create_polygon(pw15, outline="", fill="LightSkyBlue")
w5_16 = bg5.create_polygon(pw16, outline="", fill="LightSkyBlue")
w5_17 = bg5.create_polygon(pw17, outline="", fill="LightSkyBlue")
w5_18 = bg5.create_polygon(pw18, outline="", fill="LightSkyBlue")
w5_19 = bg5.create_polygon(pw19, outline="", fill="LightSkyBlue")
w5_20 = bg5.create_polygon(pw20, outline="", fill="LightSkyBlue")
w5_21 = bg5.create_polygon(pw21, outline="", fill="LightSkyBlue")
w5_22 = bg5.create_polygon(pw22, outline="", fill="LightSkyBlue")
w5_23 = bg5.create_polygon(pw23, outline="", fill="LightSkyBlue")
pic = PhotoImage(file="eater.gif") # 吃豆人
a5 = bg5.create_image(97, 97, image=pic, anchor=CENTER)
dem = PhotoImage(file="demon.gif") # 怪物
a50 = bg5.create_image(215,300, image=dem,anchor=CENTER)
a51 = bg5.create_image(95,565, image=dem,anchor=CENTER)
a52 = bg5.create_image(565,565, image=dem,anchor=CENTER)
a53 = bg5.create_image(565,100, image=dem,anchor=CENTER)
Label(win5, text="LEVEL 5", fg='black', font="Times -20 bold",
bg='LightSkyBlue').place(x=95, y=65, anchor=CENTER)
for i in range(19): # 铺豆豆
for j in range(19):
bij = (32 + i * 29, 32 + j * 29, 42 + i * 29, 42 + j * 29)
bi_j = bg5.create_oval(bij, outline="pink", fill="pink")
bigbean1=bg5.create_oval(145,290,165,310,outline='GreenYellow',fill='GreenYellow') # 放置两个大豆子
bigbean2=bg5.create_oval(405,290,425,310,outline='GreenYellow',fill='GreenYellow')
bean=list(bg5.find_overlapping(0, 0, 600, 600))
bean5=bean[0:len(bean)]
deleteBeans("map5.txt",bg5,5)
global c
global d
x0____,y0____=-1,0
c,d=1,0
x1____,y1____ = -1,0
x2____,y2____ = -1,0
x3____,y3____ = -1,0
while True:
bg5.bind_all('<KeyPress-Up>', movetriangle)
bg5.bind_all('<KeyPress-Down>', movetriangle)
bg5.bind_all('<KeyPress-Left>', movetriangle)
bg5.bind_all('<KeyPress-Right>', movetriangle)
zhqEater(c, d,a5,5,bg5)
eat(bg5,a5,5,bean5,win5)
zhq(a50,x0____,y0____,5,bg5)
x0____,y0____=zhuan(a50,x0____,y0____,5,bg5)
zhq(a51,x1____,y1____,5,bg5)
x1____,y1____=zhuan(a51,x1____,y1____,5,bg5)
zhq(a52,x2____,y2____,5,bg5)
x2____,y2____=zhuan(a52,x2____,y2____,5,bg5)
zhq(a53,x3____,y3____,5,bg5)
x3____,y3____=zhuan(a53,x3____,y3____,5,bg5)
bg5.update()
sleep(0.001)
if life == 0 : #Game Over
askFail5 = Toplevel(height=200, width=400)
askFail5.resizable(0,0)
askCanvas = Canvas(askFail5, width=198, height=171, bg="white")
askCanvas.grid(row=9)
fail = PhotoImage(file="hahaha.gif")
failing = askCanvas.create_image(99, 85, image=fail, anchor=CENTER)
Label(askFail5, text=" 失败！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(askFail5, text="重头开始？", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W + E)
backButton = Button(askFail5, text="ok", font="Times -20 bold", bg="black",
fg="white", command=rebackLevel5).grid(row=12)
win5.destroy()
global ask5
itemsBesidesBeans=[13,20,20,17,30]
final=list(bg5.find_overlapping(0,0,600,600))
if final[-1] == itemsBesidesBeans[4] :
ask5 = Toplevel(height=200, width=400)
ask5.resizable(0,0)
askCanvas2 = Canvas(ask5, width=178, height=179, bg="white")
askCanvas2.grid(row=9)
winwin = PhotoImage(file="winwinwin.gif")
winPicture = askCanvas2.create_image(89, 89, image=winwin, anchor=CENTER)
Label(ask5, text="恭喜通关了本游戏！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W+E)
Label(ask5, text="豆豆吃的好饱啊……", font="Times -20 bold", bg="white",
fg="black").grid(row=10, rowspan=2, sticky=W+E)
quitButton5 = Button(ask5, text="byebye", font="Times -20 bold", bg="black",
fg="white", command=rootwin.quit).grid(row=12)
win5.destroy()
def Level_1(): #这是选择关卡窗口对应关卡的按钮所调用的函数，开始第一关
select.destroy() #关闭选择关卡窗口
paintCanvas1() #开始这一关
def Level_2(): #第二关
select.destroy()
paintCanvas2()
def Level_3(): #第三关
select.destroy()
paintCanvas3()
def Level_4(): #第四关
select.destroy()
paintCanvas4()
def Level_5(): #第五关
select.destroy()
paintCanvas5()
def start(): #这是主窗口的开始游戏按钮调用的函数，由此函数进入第一关
paintCanvas1()
def Invincible(): # 第一关无敌版 #内部注释同第一关
winI = Toplevel()
winI.resizable(0,0) #固定窗口界面，使不能最大化窗口
global cvI
cvI = Canvas(winI, width=600, height=600, bg="white") # 创建画布
cvI.pack()
global aI
global askI
global askFailI
p1 = (20, 20, 580, 20, 580, 580, 20, 580, 20, 20) # 地图坐标
pw1 = (20, 20, 580, 20, 580, 580, 20, 580, 20, 80, 80, 80, 80, 490, 490, 490, 490, 80, 20, 80)
pw2 = (110, 110, 200, 110, 200, 230, 110, 230)
pw3 = (230, 110, 340, 110, 340, 230, 230, 230)
pw4 = (370, 110, 460, 110, 460, 230, 370, 230)
pw5 = (110, 260, 340, 260, 340, 340, 110, 340)
pw6 = (370, 260, 460, 260, 460, 340, 370, 340)
pw7 = (110, 370, 340, 370, 340, 460, 110, 460)
pw8 = (370, 370, 460, 370, 460, 460, 370, 460)
w1_1 = cvI.create_polygon(pw1, outline="", fill="LightSkyBlue") # 画地图，墙
w1_2 = cvI.create_polygon(pw2, outline="", fill="LightSkyBlue")
w1_3 = cvI.create_polygon(pw3, outline="", fill="LightSkyBlue")
w1_4 = cvI.create_polygon(pw4, outline="", fill="LightSkyBlue")
w1_5 = cvI.create_polygon(pw5, outline="", fill="LightSkyBlue")
w1_6 = cvI.create_polygon(pw6, outline="", fill="LightSkyBlue")
w1_7 = cvI.create_polygon(pw7, outline="", fill="LightSkyBlue")
w1_8 = cvI.create_polygon(pw8, outline="", fill="LightSkyBlue")
pic = PhotoImage(file="eater.gif") # 吃豆人
aI = cvI.create_image(97, 97, image=pic, anchor=CENTER) # 引入吃豆人的初始坐标
dem1 = PhotoImage(file="demon.gif") # 引入怪物的图片
a20 = cvI.create_image(355, 324, image=dem1, anchor=CENTER) # 放置怪物的初始位置
a21 = cvI.create_image(475, 474, image=dem1, anchor=CENTER) # 放置怪物的初始位置
a22 = cvI.create_image(475, 95, image=dem1, anchor=CENTER) # 放置怪物的初始位置
a23 = cvI.create_image(95, 474, image=dem1, anchor=CENTER) # 放置怪物的初始位置
Label(winI, text="无敌挑战版！！", fg='black', font="Times -30 bold",
bg='LightSkyBlue').place(x=450, y=50, anchor=CENTER)
for i in range(14): # 将地图铺满豆豆
for j in range(14):
bij = (90 + i * 29, 90 + j * 29, 100 + i * 29, 100 + j * 29) # 豆豆的坐标（每隔29个像素，铺一个豆豆，铺满地图）
bi_j = cvI.create_oval(bij, outline="pink", fill="pink") # 豆豆的形状：圆形 以及 颜色
deleteBeans("map1.txt",cvI,6)
global c
global d
global aII
global bI
x0, y0 = -1, 0
c, d = 1, 0
x1, y1 = -1, 0
x2, y2 = -1, 0
x3, y3 = -1, 0
score = 1500000 #这是无敌版不同于正常关卡的地方，用于进行倒计时的变量score
Label(winI, text="Your lives: +∞", fg='black', font="Times -15 bold",
bg='LightSkyBlue').place(x=300, y=600, anchor=S)
while True:
cvI.bind_all('<KeyPress-Up>', movetriangle) # 绑定键盘的上下左右键
cvI.bind_all('<KeyPress-Down>', movetriangle)
cvI.bind_all('<KeyPress-Left>', movetriangle)
cvI.bind_all('<KeyPress-Right>', movetriangle)
zhqEater(c,d,aI,6,cvI)
cvI.update()
xya1 = list(cvI.coords(aI)) # 报告吃豆人的中心坐标,存储形式：xya1=[x1,y1,x2,y2]
xya = list(cvI.find_overlapping(xya1[0] - 10, xya1[1] - 10, xya1[0] + 10, xya1[
1] + 10)) # 吃豆人的大小是20*20，所以(xya1[0]-10,xya1[1]-10,xya1[0]+10,xya1[1]+10)得到的是吃豆人矩形
#用find_overlapping找出与吃豆人矩形范围内重叠的其他图形（豆豆）的标识号，存到列表中
for n in xya: # 删掉xya中的图形项（豆豆），表示被吃掉了
if n > 13:
cvI.delete(n)
elif n > 9:
sleep(0.5)
cvI.move(aI, 97 - xya1[0], 97 - xya1[1])
xyn = list(cvI.coords(n))
cvI.move(n, 475 - xyn[0], 474 - xyn[1])
score -= 20000 #被怪物吃掉后，score减少20000
sleep(0.0002)
score -= 1 #表示每0.0002秒score会减少1（如果不被怪物吃掉，一般大约5分钟左右score变为0）
zhq(a20, x0, y0,6,cvI)
x0, y0 = zhuan(a20, x0, y0,6,cvI)
zhq(a21, x1, y1,6,cvI)
x1, y1 = zhuan(a21, x1, y1,6,cvI)
zhq(a22, x2, y2,6,cvI)
x2, y2 = zhuan(a22, x2, y2,6,cvI)
zhq(a23, x3, y3,6,cvI)
x3, y3 = zhuan(a23, x3, y3,6,cvI)
cvI.update()
final = list(cvI.find_overlapping(0, 0, 600, 600))
if final[-1] == 13: #这个胜利窗口可以告诉玩家无敌版的秘密
askI = Toplevel(height=200, width=400)
askI.resizable(0,0)
askCanvas2 = Canvas(askI, width=178, height=179, bg="white")
askCanvas2.grid(row=12)
winwin = PhotoImage(file="winwinwin.gif")
winPicture = askCanvas2.create_image(89, 89, image=winwin, anchor=CENTER)
Label(askI, text="Your HP: %d" % (score), fg="black", font="Times -20 bold",
bg="white").grid(row=3, rowspan=2, sticky=W + E)
Label(askI, text="恭喜通关了无敌（鬼畜）版！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
secret = "嗯……\n通关了无敌版的你应该发现了：\n这个无敌版是有限制的！\n" \
"在最开始你有1,500,000HP的，\n但是随着时间增加，它是慢慢减少的；\n" \
"并且如果怪物吃了你，\n你的HP会减少20,000！\n\n" \
"……所以如果你输过了的话，\n你应该知道你是怎么输的了吧\n"
Label(askI, text=secret, font="Times -20 bold", bg="white",
fg="black").grid(row=13, sticky=W + E)
Label(askI, text="hhh,游戏愉快！", font="Times -20 bold", bg="white",
fg="black").grid(row=21, rowspan=2, sticky=W + E)
quitButtonI = Button(askI, text="byebye", font="Times -20 bold", bg="black",
fg="white", command=destroyI).grid(row=23)
winI.destroy()
if score <= 0: #倒计时结束，玩家失败
askFailI = Toplevel(height=200, width=400)
askFailI.resizable(0,0)
askCanvas = Canvas(askFailI, width=198, height=171, bg="white")
askCanvas.grid(row=12)
fail = PhotoImage(file="hahaha.gif")
failing = askCanvas.create_image(99, 85, image=fail, anchor=CENTER)
Label(askFailI, text="Your HP: %d" % (score), fg="black", font="Times -20 bold",
bg="white").grid(row=3, rowspan=2, sticky=W + E) #此处提示玩家是有HP的（就是score的值）
Label(askFailI, text=" 失败！", font="Times -24 bold", bg="white",
fg="black").grid(row=1, rowspan=2, sticky=W + E)
Label(askFailI, text="重头开始？", font="Times -20 bold", bg="white",
fg="black").grid(row=13, rowspan=2, sticky=W + E)
backButton = Button(askFailI, text="ok", font="Times -20 bold", bg="black",
fg="white", command=rebackI).grid(row=15)
winI.destroy()
def Destroy3():#用于退出关卡选择界面的命令函数
select.destroy()
def SelectLevel(): #选择关卡，有对应关卡的按钮
global select
select = Toplevel()
select.resizable(0,0) #固定窗口界面，使不能最大化窗口
# 以下是界面装饰部分
bgr3 = Canvas(select, width=600, height=800, bg="white")
bgr3.pack()
pe1 = (40, 36, 114, 110)
pee1 = (75, 57, 79, 61)
eater1 = bgr3.create_arc(pe1, start=45, extent=270, fill="black")
eatereye1 = bgr3.create_oval(pee1, fill="white")
pe2 = (600 - 114, 800 - 110, 600 - 40, 800 - 36)
pee2 = (600 - 79, 800 - 61, 600 - 75, 800 - 57)
eater2 = bgr3.create_arc(pe2, start=225, extent=270, fill="black")
eatereye2 = bgr3.create_oval(pee2, fill="white")
adornment1 = bgr3.create_rectangle(40, 110, 50, 720, outline="", fill="black")
adornment2 = bgr3.create_rectangle(80, 754, 464, 764, outline="", fill="black")
adornment3 = bgr3.create_rectangle(600 - 50, 800 - 720, 600 - 40,
800 - 110, outline="", fill="black")
adornment4 = bgr3.create_rectangle(600 - 464, 800 - 764, 600 - 80,
800 - 754, outline="", fill="black")
adornment5 = bgr3.create_oval(600 - 51, 800 - 764, 600 - 40,
800 - 753, outline="", fill="black")
adornment6 = bgr3.create_oval(40, 753, 51, 764, outline="", fill="black")
#以下是关卡选择窗口中的标签和按钮，每个按钮对应每个关卡，以及退出该选择关卡窗口的按钮
selecttitle = Label(select, text="关卡选择", font="Times -25 bold",
bg="black", fg="white").place(x=170, y=110, anchor=CENTER)
Button_1 = Button(select, text="关卡1", font="Times -20 bold", bg="black",
fg="white", command=Level_1).place(x=170, y=240, anchor=CENTER)
Button_2 = Button(select, text="关卡2", font="Times -20 bold", bg="black",
fg="white", command=Level_2).place(x=170, y=340, anchor=CENTER)
Button_3 = Button(select, text="关卡3", font="Times -20 bold", bg="black",
fg="white", command=Level_3).place(x=170, y=440, anchor=CENTER)
Button_4 = Button(select, text="关卡4", font="Times -20 bold", bg="black",
fg="white", command=Level_4).place(x=170, y=540, anchor=CENTER)
Button_5 = Button(select, text="关卡5", font="Times -20 bold", bg="black",
fg="white", command=Level_5).place(x=170, y=640, anchor=CENTER)
Button_I = Button(select, text="无敌版", font="Times -20 bold", bg="black",
fg="white", command=Invincible).place(x=430, y=240, anchor=CENTER)
ExitButton3 = Button(select, text="exit", font="Times -20 bold", bg="black",
fg="white", command=Destroy3).place(x=437, y=700, anchor=CENTER)
def Destroy1():#用于退出帮助界面的命令函数
rootwin1.destroy()
def Help(): #帮助界面
global rootwin1
rootwin1 = Toplevel()
rootwin1.resizable(0,0) #固定窗口界面，使不能最大化窗口
#以下是装饰部分
bgr1 = Canvas(rootwin1, width=600, height=800, bg="white")
bgr1.pack()
pe1 = (40, 36, 114, 110)
pee1 = (75, 57, 79, 61)
eater1 = bgr1.create_arc(pe1, start=45, extent=270, fill="black")
eatereye1 = bgr1.create_oval(pee1, fill="white")
pe2 = (600 - 114, 800 - 110, 600 - 40, 800 - 36)
pee2 = (600 - 79, 800 - 61, 600 - 75, 800 - 57)
eater2 = bgr1.create_arc(pe2, start=225, extent=270, fill="black")
eatereye2 = bgr1.create_oval(pee2, fill="white")
adornment1 = bgr1.create_rectangle(40, 110, 50, 720, outline="", fill="black")
adornment2 = bgr1.create_rectangle(80, 754, 464, 764, outline="", fill="black")
adornment3 = bgr1.create_rectangle(600 - 50, 800 - 720, 600 - 40,
800 - 110, outline="", fill="black")
adornment4 = bgr1.create_rectangle(600 - 464, 800 - 764, 600 - 80,
800 - 754, outline="", fill="black")
adornment5 = bgr1.create_oval(600 - 51, 800 - 764, 600 - 40,
800 - 753, outline="", fill="black")
adornment6 = bgr1.create_oval(40, 753, 51, 764, outline="", fill="black")
#以下是帮助窗口的标签、文本和退出按钮
title_H = "游戏帮助"
helpstitle = Label(rootwin1, text=title_H, font="Times -25 bold",
bg="black", fg="white").place(x=170, y=110, anchor=CENTER)
helptext = "利用键盘方向键控制吃豆人的移动方向，避开怪物，把地图上的所有豆豆吃掉过关！\n\n" \
"普通豆豆（小豆子）：吃掉一颗分数增加10点\n奖励豆豆（大豆子）：吃掉一颗分数增加50点，" \
"并且增加一条生命\n怪物：怪物会随机运动，一旦碰到怪物会失去一条生命" \
"\n\n游戏共有5关，在每一关你有初始的三条生命，" \
"生命全部失去后会GAME OVER\n\n\n\n" \
"Ps: 其实有一个无敌版，操作方法是没有变化的，但是……" \
"具体是什么情况呢请慢慢探索(◍ ´꒳` ◍)"
helps = Message(rootwin1,text=helptext,font="Times -20 bold",
bg="white",fg="black",width=460).place(x=300,y=400,anchor=CENTER)
ExitButton1 = Button(rootwin1, text="exit", font="Times -20 bold", bg="black",
fg="white", command=Destroy1).place(x=437, y=700, anchor=CENTER)
def Destroy2():#用于退出制作人员界面的命令函数
global rootwin2
rootwin2.destroy()
def Staff(): #制作人员界面
global rootwin2
rootwin2 = Toplevel()
rootwin2.resizable(0,0) #固定窗口界面，使不能最大化窗口
bgr2 = Canvas(rootwin2, width=600, height=800, bg="white")
bgr2.pack()
pe1 = (40, 36, 114, 110)
pee1 = (75, 57, 79, 61)
eater1 = bgr2.create_arc(pe1, start=45, extent=270, fill="black")
eatereye1 = bgr2.create_oval(pee1, fill="white")
pe2 = (600 - 114, 800 - 110, 600 - 40, 800 - 36)
pee2 = (600 - 79, 800 - 61, 600 - 75, 800 - 57)
eater2 = bgr2.create_arc(pe2, start=225, extent=270, fill="black")
eatereye2 = bgr2.create_oval(pee2, fill="white")
adornment1 = bgr2.create_rectangle(40, 110, 50, 720, outline="", fill="black")
adornment2 = bgr2.create_rectangle(80, 754, 464, 764, outline="", fill="black")
adornment3 = bgr2.create_rectangle(600 - 50, 800 - 720, 600 - 40,
800 - 110, outline="", fill="black")
adornment4 = bgr2.create_rectangle(600 - 464, 800 - 764, 600 - 80,
800 - 754, outline="", fill="black")
adornment5 = bgr2.create_oval(600 - 51, 800 - 764, 600 - 40,
800 - 753, outline="", fill="black")
adornment6 = bgr2.create_oval(40, 753, 51, 764, outline="", fill="black")
#以下制作人员窗口的标签及文本，和退出该窗口的按钮
title_S = "制作人员"
StaffTitle = Label(rootwin2, text=title_S, font="Times -25 bold",
bg="black", fg="white").place(x=170, y=110, anchor=CENTER)
stafflist = "组长:\n\n方焯\n\n\n组员:\n\n乔蕴昭\n\n王梦瑶\n\n李 珊"
Stafflist = Message(rootwin2, text=stafflist, font="Times -20 bold",
bg="white", fg="black",width=460).place(x=170,y=300,anchor=CENTER)
ExitButton2 = Button(rootwin2, text="exit", font="Times -20 bold", bg="black",
fg="white", command=Destroy2).place(x=437, y=700, anchor=CENTER)
#以下为主界面及对应按钮
rootwin = Tk()
rootwin.resizable(0,0) #固定窗口界面，使不能最大化窗口
rootwin.title("PAC-MAN")
rootwin.geometry("600x800")
#下述部分是界面装饰部分
bg = Canvas(rootwin,width=600,height=800,bg="white")
bg.pack()
pe1 = (40, 36, 114, 110)
pee1 = (75, 57, 79, 61)
eater1 = bg.create_arc(pe1, start=45, extent=270, fill="black")
eatereye1 = bg.create_oval(pee1, fill="white")
pe2 = (600 - 114, 800 - 110, 600 - 40, 800 - 36)
pee2 = (600 - 79, 800 - 61, 600 - 75, 800 - 57)
eater2 = bg.create_arc(pe2, start=225, extent=270, fill="black")
eatereye2 = bg.create_oval(pee2, fill="white")
adornment1 = bg.create_rectangle(40, 110, 50, 720, outline="", fill="black")
adornment2 = bg.create_rectangle(80, 754, 464, 764, outline="", fill="black")
adornment3 = bg.create_rectangle(600-50, 800-720, 600-40, 800-110, outline="", fill="black")
adornment4 = bg.create_rectangle(600-464, 800-764, 600-80, 800-754, outline="", fill="black")
adornment5 = bg.create_rectangle(365, 240, 479, 245, outline="", fill="black")
adornment6 = bg.create_rectangle(365, 240+17, 479, 245+17, outline="", fill="black")
adornment7 = bg.create_oval(600-51, 800-764, 600-40, 800-753, outline="", fill="black")
adornment8 = bg.create_oval(40, 753, 51, 764, outline="", fill="black")
#下面三行是主标题
TitleFrame = Frame(rootwin,width=320,height=80)
TitleFrame.place(x=300,y=175,anchor=CENTER)
Title = Label(TitleFrame,text="Pac - Man", font="Times -80 bold", bg="black",
fg="white").grid(sticky=E+W+N+S)
#接下来是按钮
ButtonFrame = Frame(rootwin,width=320,height=410)
ButtonFrame.place(x=300,y=510,anchor=CENTER)
#开始按钮，对应函数start()
StartButton = Button(ButtonFrame,text="Start New Game",font="Times -30 bold",bg="black",
fg="white",command=start).grid(row=0,rowspan=2,sticky=W+E)
#跳关按钮，对应函数SelectLevel()
SelectButton = Button(ButtonFrame,text="Select Level",font="Times -30 bold",bg="black",
fg="white",command=SelectLevel).grid(row=4,rowspan=2,sticky=W+E)
#帮助按钮，对应函数Help()
HelpButton = Button(ButtonFrame,text="Game Help",font="Times -30 bold",bg="black",
fg="white",command=Help).grid(row=8,rowspan=2,sticky=W+E)
#制作组按钮，对应函数Staff()
StaffButton = Button(ButtonFrame,text="Staff List",font="Times -30 bold",bg="black",
fg="white",command=Staff).grid(row=12,rowspan=2,sticky=W+E)
#退出按钮，根窗口主循环退出
ExitButton = Button(rootwin,text="exit",font="Times -20 bold",bg="black",
fg="white",command=rootwin.quit).place(x=437,y=700,anchor=CENTER)
rootwin.mainloop() #进入主循环 | [
"noreply@github.com"
] | noreply@github.com |
d3f738a922c2ea7fe1926992b5765c878b180712 | 6899f55b07bd6d49da2d331dfce217f92673ed34 | /Accounts/views.py | 8bbba8102db9276f6aa4bd89a08304dd6d7071ad | [
"MIT"
] | permissive | Khushiraikar1/sudhaksha_maxo | e72945f2d2e6ec985b27a67f2db4465cf3a72ce2 | ccaba5426b8fcac0d6772bdb78916cb0cd0c09e7 | refs/heads/main | 2023-02-11T12:09:35.046523 | 2021-01-15T16:37:55 | 2021-01-15T16:37:55 | 317,636,328 | 2 | 6 | MIT | 2021-01-15T15:40:49 | 2020-12-01T18:46:39 | HTML | UTF-8 | Python | false | false | 1,536 | py | from django.shortcuts import render,redirect,get_object_or_404
from django.contrib.auth import authenticate,login,logout
from django.contrib.auth.models import User
from .forms import Registrationform,Profileform,Register
from django.contrib import messages
from .models import profile
from django.contrib.auth.decorators import login_required
from .randgenrator import rand
from .decarators import unauthenticated_user
# Create your views here.
@unauthenticated_user
def register(request):
if request.POST:
form=Registrationform(request.POST)
if(form.is_valid()):
username=form.cleaned_data.get('username')
messages.success(request,f'Account created for {username}')
b=form.save()
u_id=rand(8)
a=profile(user=b,Uid=u_id)
a.save()
return redirect('/accounts/registeration',{'messages':messages})
else:
form=Registrationform()
return render(request, 'adhyayana.html',{'form':form})
@login_required
def registration(request):
client=profile.objects.get(user=request.user).Uid
if request.POST:
form1=Register(request.POST,instance=request.user)
form2=Profileform(request.POST,instance=request.user.profile)
if form2.is_valid():
form1.save()
form2.save()
messages.success(request,f'Registration Complete!!' )
return redirect('home')
else:
form1=Register(instance=request.user)
form2=Profileform(instance=request.user.profile)
return render(request,'registration.html',{'form1':form1,'form2':form2,'uid':client})
def userlogout(request):
logout(request)
return redirect('home') | [
"anandajith911@gmail.com"
] | anandajith911@gmail.com |
e504b3eab9169f7b66094ab0d02abc8b8d857565 | 3f854f15ed22c0dc5a14f6d9d62f4e69657fa13c | /updated/catkin_ws/build/catkin_generated/installspace/_setup_util.py | 97ac002b9ced133a8aa05a680da2a0d4b7b0f25a | [
"BSD-2-Clause"
] | permissive | JisuHann/Point-Cloud-Grasp | 3bbbcaa30c83cd07a4b73e45064d72d440e78c7a | 083244632412709dbc29ac7841b6a837e4ed3cb6 | refs/heads/main | 2023-06-22T01:18:59.809150 | 2021-07-23T10:23:15 | 2021-07-23T10:23:15 | 353,249,941 | 2 | 1 | BSD-2-Clause | 2021-05-26T02:35:31 | 2021-03-31T06:26:38 | Makefile | UTF-8 | Python | false | false | 13,338 | py | #!/usr/bin/python2
# -*- coding: utf-8 -*-
# Software License Agreement (BSD License)
#
# Copyright (c) 2012, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided
# with the distribution.
# * Neither the name of Willow Garage, Inc. nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
"""This file generates shell code for the setup.SHELL scripts to set environment variables."""
from __future__ import print_function
import argparse
import copy
import errno
import os
import platform
import sys
CATKIN_MARKER_FILE = '.catkin'
system = platform.system()
IS_DARWIN = (system == 'Darwin')
IS_WINDOWS = (system == 'Windows')
PATH_TO_ADD_SUFFIX = ['bin']
if IS_WINDOWS:
# while catkin recommends putting dll's into bin, 3rd party packages often put dll's into lib
# since Windows finds dll's via the PATH variable, prepend it with path to lib
PATH_TO_ADD_SUFFIX.extend([['lib', os.path.join('lib', 'x86_64-linux-gnu')]])
# subfolder of workspace prepended to CMAKE_PREFIX_PATH
ENV_VAR_SUBFOLDERS = {
'CMAKE_PREFIX_PATH': '',
'LD_LIBRARY_PATH' if not IS_DARWIN else 'DYLD_LIBRARY_PATH': ['lib', os.path.join('lib', 'x86_64-linux-gnu')],
'PATH': PATH_TO_ADD_SUFFIX,
'PKG_CONFIG_PATH': [os.path.join('lib', 'pkgconfig'), os.path.join('lib', 'x86_64-linux-gnu', 'pkgconfig')],
'PYTHONPATH': 'lib/python2.7/dist-packages',
}
def rollback_env_variables(environ, env_var_subfolders):
"""
Generate shell code to reset environment variables.
by unrolling modifications based on all workspaces in CMAKE_PREFIX_PATH.
This does not cover modifications performed by environment hooks.
"""
lines = []
unmodified_environ = copy.copy(environ)
for key in sorted(env_var_subfolders.keys()):
subfolders = env_var_subfolders[key]
if not isinstance(subfolders, list):
subfolders = [subfolders]
value = _rollback_env_variable(unmodified_environ, key, subfolders)
if value is not None:
environ[key] = value
lines.append(assignment(key, value))
if lines:
lines.insert(0, comment('reset environment variables by unrolling modifications based on all workspaces in CMAKE_PREFIX_PATH'))
return lines
def _rollback_env_variable(environ, name, subfolders):
"""
For each catkin workspace in CMAKE_PREFIX_PATH remove the first entry from env[NAME] matching workspace + subfolder.
:param subfolders: list of str '' or subfoldername that may start with '/'
:returns: the updated value of the environment variable.
"""
value = environ[name] if name in environ else ''
env_paths = [path for path in value.split(os.pathsep) if path]
value_modified = False
for subfolder in subfolders:
if subfolder:
if subfolder.startswith(os.path.sep) or (os.path.altsep and subfolder.startswith(os.path.altsep)):
subfolder = subfolder[1:]
if subfolder.endswith(os.path.sep) or (os.path.altsep and subfolder.endswith(os.path.altsep)):
subfolder = subfolder[:-1]
for ws_path in _get_workspaces(environ, include_fuerte=True, include_non_existing=True):
path_to_find = os.path.join(ws_path, subfolder) if subfolder else ws_path
path_to_remove = None
for env_path in env_paths:
env_path_clean = env_path[:-1] if env_path and env_path[-1] in [os.path.sep, os.path.altsep] else env_path
if env_path_clean == path_to_find:
path_to_remove = env_path
break
if path_to_remove:
env_paths.remove(path_to_remove)
value_modified = True
new_value = os.pathsep.join(env_paths)
return new_value if value_modified else None
def _get_workspaces(environ, include_fuerte=False, include_non_existing=False):
"""
Based on CMAKE_PREFIX_PATH return all catkin workspaces.
:param include_fuerte: The flag if paths starting with '/opt/ros/fuerte' should be considered workspaces, ``bool``
"""
# get all cmake prefix paths
env_name = 'CMAKE_PREFIX_PATH'
value = environ[env_name] if env_name in environ else ''
paths = [path for path in value.split(os.pathsep) if path]
# remove non-workspace paths
workspaces = [path for path in paths if os.path.isfile(os.path.join(path, CATKIN_MARKER_FILE)) or (include_fuerte and path.startswith('/opt/ros/fuerte')) or (include_non_existing and not os.path.exists(path))]
return workspaces
def prepend_env_variables(environ, env_var_subfolders, workspaces):
"""Generate shell code to prepend environment variables for the all workspaces."""
lines = []
lines.append(comment('prepend folders of workspaces to environment variables'))
paths = [path for path in workspaces.split(os.pathsep) if path]
prefix = _prefix_env_variable(environ, 'CMAKE_PREFIX_PATH', paths, '')
lines.append(prepend(environ, 'CMAKE_PREFIX_PATH', prefix))
for key in sorted(key for key in env_var_subfolders.keys() if key != 'CMAKE_PREFIX_PATH'):
subfolder = env_var_subfolders[key]
prefix = _prefix_env_variable(environ, key, paths, subfolder)
lines.append(prepend(environ, key, prefix))
return lines
def _prefix_env_variable(environ, name, paths, subfolders):
"""
Return the prefix to prepend to the environment variable NAME.
Adding any path in NEW_PATHS_STR without creating duplicate or empty items.
"""
value = environ[name] if name in environ else ''
environ_paths = [path for path in value.split(os.pathsep) if path]
checked_paths = []
for path in paths:
if not isinstance(subfolders, list):
subfolders = [subfolders]
for subfolder in subfolders:
path_tmp = path
if subfolder:
path_tmp = os.path.join(path_tmp, subfolder)
# skip nonexistent paths
if not os.path.exists(path_tmp):
continue
# exclude any path already in env and any path we already added
if path_tmp not in environ_paths and path_tmp not in checked_paths:
checked_paths.append(path_tmp)
prefix_str = os.pathsep.join(checked_paths)
if prefix_str != '' and environ_paths:
prefix_str += os.pathsep
return prefix_str
def assignment(key, value):
if not IS_WINDOWS:
return 'export %s="%s"' % (key, value)
else:
return 'set %s=%s' % (key, value)
def comment(msg):
if not IS_WINDOWS:
return '# %s' % msg
else:
return 'REM %s' % msg
def prepend(environ, key, prefix):
if key not in environ or not environ[key]:
return assignment(key, prefix)
if not IS_WINDOWS:
return 'export %s="%s$%s"' % (key, prefix, key)
else:
return 'set %s=%s%%%s%%' % (key, prefix, key)
def find_env_hooks(environ, cmake_prefix_path):
"""Generate shell code with found environment hooks for the all workspaces."""
lines = []
lines.append(comment('found environment hooks in workspaces'))
generic_env_hooks = []
generic_env_hooks_workspace = []
specific_env_hooks = []
specific_env_hooks_workspace = []
generic_env_hooks_by_filename = {}
specific_env_hooks_by_filename = {}
generic_env_hook_ext = 'bat' if IS_WINDOWS else 'sh'
specific_env_hook_ext = environ['CATKIN_SHELL'] if not IS_WINDOWS and 'CATKIN_SHELL' in environ and environ['CATKIN_SHELL'] else None
# remove non-workspace paths
workspaces = [path for path in cmake_prefix_path.split(os.pathsep) if path and os.path.isfile(os.path.join(path, CATKIN_MARKER_FILE))]
for workspace in reversed(workspaces):
env_hook_dir = os.path.join(workspace, 'etc', 'catkin', 'profile.d')
if os.path.isdir(env_hook_dir):
for filename in sorted(os.listdir(env_hook_dir)):
if filename.endswith('.%s' % generic_env_hook_ext):
# remove previous env hook with same name if present
if filename in generic_env_hooks_by_filename:
i = generic_env_hooks.index(generic_env_hooks_by_filename[filename])
generic_env_hooks.pop(i)
generic_env_hooks_workspace.pop(i)
# append env hook
generic_env_hooks.append(os.path.join(env_hook_dir, filename))
generic_env_hooks_workspace.append(workspace)
generic_env_hooks_by_filename[filename] = generic_env_hooks[-1]
elif specific_env_hook_ext is not None and filename.endswith('.%s' % specific_env_hook_ext):
# remove previous env hook with same name if present
if filename in specific_env_hooks_by_filename:
i = specific_env_hooks.index(specific_env_hooks_by_filename[filename])
specific_env_hooks.pop(i)
specific_env_hooks_workspace.pop(i)
# append env hook
specific_env_hooks.append(os.path.join(env_hook_dir, filename))
specific_env_hooks_workspace.append(workspace)
specific_env_hooks_by_filename[filename] = specific_env_hooks[-1]
env_hooks = generic_env_hooks + specific_env_hooks
env_hooks_workspace = generic_env_hooks_workspace + specific_env_hooks_workspace
count = len(env_hooks)
lines.append(assignment('_CATKIN_ENVIRONMENT_HOOKS_COUNT', count))
for i in range(count):
lines.append(assignment('_CATKIN_ENVIRONMENT_HOOKS_%d' % i, env_hooks[i]))
lines.append(assignment('_CATKIN_ENVIRONMENT_HOOKS_%d_WORKSPACE' % i, env_hooks_workspace[i]))
return lines
def _parse_arguments(args=None):
parser = argparse.ArgumentParser(description='Generates code blocks for the setup.SHELL script.')
parser.add_argument('--extend', action='store_true', help='Skip unsetting previous environment variables to extend context')
parser.add_argument('--local', action='store_true', help='Only consider this prefix path and ignore other prefix path in the environment')
return parser.parse_known_args(args=args)[0]
if __name__ == '__main__':
try:
try:
args = _parse_arguments()
except Exception as e:
print(e, file=sys.stderr)
sys.exit(1)
if not args.local:
# environment at generation time
CMAKE_PREFIX_PATH = r'/home/min/catkin_ws/devel;/opt/ros/melodic'.split(';')
else:
# don't consider any other prefix path than this one
CMAKE_PREFIX_PATH = []
# prepend current workspace if not already part of CPP
base_path = os.path.dirname(__file__)
# CMAKE_PREFIX_PATH uses forward slash on all platforms, but __file__ is platform dependent
# base_path on Windows contains backward slashes, need to be converted to forward slashes before comparison
if os.path.sep != '/':
base_path = base_path.replace(os.path.sep, '/')
if base_path not in CMAKE_PREFIX_PATH:
CMAKE_PREFIX_PATH.insert(0, base_path)
CMAKE_PREFIX_PATH = os.pathsep.join(CMAKE_PREFIX_PATH)
environ = dict(os.environ)
lines = []
if not args.extend:
lines += rollback_env_variables(environ, ENV_VAR_SUBFOLDERS)
lines += prepend_env_variables(environ, ENV_VAR_SUBFOLDERS, CMAKE_PREFIX_PATH)
lines += find_env_hooks(environ, CMAKE_PREFIX_PATH)
print('\n'.join(lines))
# need to explicitly flush the output
sys.stdout.flush()
except IOError as e:
# and catch potential "broken pipe" if stdout is not writable
# which can happen when piping the output to a file but the disk is full
if e.errno == errno.EPIPE:
print(e, file=sys.stderr)
sys.exit(2)
raise
sys.exit(0)
| [
"sammin9614@gmail.com"
] | sammin9614@gmail.com |
4681f93f39d6f4d7e12d2abc33f56032b610f0e0 | d50dec961435073f35bd89be322341862cf7ae6c | /enaml/qt/docking/q_dock_container.py | 7c95686787621238b95078e2b6c0b4259b34ad77 | [
"BSD-3-Clause"
] | permissive | johnelund/enaml | 19971d298b46c5c08f662110cb1c3b6bab976936 | 1e957da694e84d016a19c4866a1801ca04651fa5 | refs/heads/master | 2021-01-18T08:51:44.403979 | 2013-07-03T20:37:36 | 2013-07-03T20:37:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,875 | py | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#------------------------------------------------------------------------------
from atom.api import Typed, Bool
from enaml.qt.QtCore import Qt, QMargins, QPoint, QRect, QEvent, Signal
from enaml.qt.QtGui import QApplication, QLayout, QIcon
from .q_dock_area import QDockArea
from .q_dock_frame import QDockFrame
from .q_dock_frame_layout import QDockFrameLayout
from .q_dock_tab_widget import QDockTabWidget
from .utils import repolish
class QDockContainerLayout(QDockFrameLayout):
""" A QDockFrameLayout subclass which works with a QDockContainer.
"""
def invalidate(self):
""" Invalidate the cached layout data.
"""
super(QDockContainerLayout, self).invalidate()
widget = self.getWidget()
if widget is not None:
self.parentWidget().setSizePolicy(widget.sizePolicy())
def _computePressPos(container, coeff):
""" Compute the press position for a title bar.
Parameters
----------
container : QDockContainer
The dock container which owns the title bar of interest.
coeff : float
A floating point value between 0.0 and 1.0 which is the
proportional x-offset of the mouse press in the title bar.
"""
margins = container.layout().contentsMargins()
button_width = 50 # general approximation
max_x = container.width() - margins.right() - button_width
test_x = int(coeff * container.width())
new_x = max(margins.left() + 5, min(test_x, max_x))
title_bar = container.dockItem().titleBarWidget()
title_height = title_bar.height() / 2
mid_title = title_bar.mapTo(container, QPoint(0, title_height))
return QPoint(new_x, mid_title.y())
class QDockContainer(QDockFrame):
""" A QDockFrame which holds a QDockItem instance.
A QDockContainer has a dynamic boolean property 'floating' which
can be used to apply custom stylesheet styling when the container
is a floating top level window versus docked in a dock area.
"""
#: A signal emitted when the container changes its toplevel state.
topLevelChanged = Signal(bool)
class FrameState(QDockFrame.FrameState):
""" A private class for managing container drag state.
"""
#: The original title bar press position.
press_pos = Typed(QPoint)
#: Whether or not the dock item is being dragged.
dragging = Bool(False)
#: Whether the dock item is maximized in the dock area.
item_is_maximized = Bool(False)
def __init__(self, manager, parent=None):
""" Initialize a QDockContainer.
Parameters
----------
manager : DockManager
The manager which owns the container.
parent : QWidget or None
The parent of the QDockContainer.
"""
super(QDockContainer, self).__init__(manager, parent)
layout = QDockContainerLayout()
layout.setSizeConstraint(QLayout.SetMinAndMaxSize)
self.setLayout(layout)
self.setProperty('floating', False)
self._dock_item = None
#--------------------------------------------------------------------------
# Reimplementations
#--------------------------------------------------------------------------
def titleBarGeometry(self):
""" Get the geometry rect for the title bar.
Returns
-------
result : QRect
The geometry rect for the title bar, expressed in frame
coordinates. An invalid rect is returned if title bar
should not be active.
"""
title_bar = self.dockItem().titleBarWidget()
if title_bar.isHidden():
return QRect()
pt = title_bar.mapTo(self, QPoint(0, 0))
return QRect(pt, title_bar.size())
def resizeMargins(self):
""" Get the margins to use for resizing the container.
Returns
-------
result : QMargins
The margins to use for container resizing when the container
is a top-level window.
"""
if self.isMaximized():
return QMargins()
return self.layout().contentsMargins()
def showMaximized(self):
""" Handle the show maximized request for the dock container.
"""
def update_buttons(bar, link=False):
buttons = bar.buttons()
buttons |= bar.RestoreButton
buttons &= ~bar.MaximizeButton
if link:
buttons &= ~bar.LinkButton
bar.setButtons(buttons)
if self.isWindow():
super(QDockContainer, self).showMaximized()
self.setLinked(False)
update_buttons(self.dockItem().titleBarWidget(), link=True)
else:
area = self.parentDockArea()
if area is not None:
item = self.dockItem()
update_buttons(item.titleBarWidget())
area.setMaximizedWidget(item)
self.frame_state.item_is_maximized = True
item.installEventFilter(self)
def showNormal(self):
""" Handle the show normal request for the dock container.
"""
def update_buttons(bar, link=False):
buttons = bar.buttons()
buttons |= bar.MaximizeButton
buttons &= ~bar.RestoreButton
if link:
buttons |= bar.LinkButton
bar.setButtons(buttons)
if self.isWindow():
super(QDockContainer, self).showNormal()
self.setLinked(False)
update_buttons(self.dockItem().titleBarWidget(), link=True)
elif self.frame_state.item_is_maximized:
item = self.dockItem()
update_buttons(item.titleBarWidget())
self.layout().setWidget(item)
self.frame_state.item_is_maximized = False
item.removeEventFilter(self)
#--------------------------------------------------------------------------
# Framework API
#--------------------------------------------------------------------------
def dockItem(self):
""" Get the dock item installed on the container.
Returns
-------
result : QDockItem or None
The dock item installed in the container, or None.
"""
return self._dock_item
def setDockItem(self, dock_item):
""" Set the dock item for the container.
Parameters
----------
dock_item : QDockItem
The dock item to use in the container.
"""
layout = self.layout()
old = layout.getWidget()
if old is not None:
old.maximizeButtonClicked.disconnect(self.showMaximized)
old.restoreButtonClicked.disconnect(self.showNormal)
old.closeButtonClicked.disconnect(self.close)
old.linkButtonToggled.disconnect(self.linkButtonToggled)
old.titleBarLeftDoubleClicked.disconnect(self.toggleMaximized)
if dock_item is not None:
dock_item.maximizeButtonClicked.connect(self.showMaximized)
dock_item.restoreButtonClicked.connect(self.showNormal)
dock_item.closeButtonClicked.connect(self.close)
dock_item.linkButtonToggled.connect(self.linkButtonToggled)
dock_item.titleBarLeftDoubleClicked.connect(self.toggleMaximized)
layout.setWidget(dock_item)
self._dock_item = dock_item
def title(self):
""" Get the title for the container.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
return item.title()
return u''
def icon(self):
""" Get the icon for the container.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
return item.icon()
return QIcon()
def closable(self):
""" Get whether or not the container is closable.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
return item.closable()
return True
def isLinked(self):
""" Get whether or not the container is linked.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
return item.isLinked()
return False
def setLinked(self, linked):
""" Set whether or not the container should be linked.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
item.setLinked(linked)
def showTitleBar(self):
""" Show the title bar for the container.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
item.titleBarWidget().show()
def hideTitleBar(self):
""" Hide the title bar for the container.
This proxies the call to the underlying dock item.
"""
item = self.dockItem()
if item is not None:
item.titleBarWidget().hide()
def showLinkButton(self):
""" Show the link button on the title bar.
"""
item = self.dockItem()
if item is not None:
bar = item.titleBarWidget()
bar.setButtons(bar.buttons() | bar.LinkButton)
def hideLinkButton(self):
""" Show the link button on the title bar.
"""
item = self.dockItem()
if item is not None:
bar = item.titleBarWidget()
bar.setButtons(bar.buttons() & ~bar.LinkButton)
def toggleMaximized(self):
""" Toggle the maximized state of the container.
"""
is_win = self.isWindow()
is_maxed = self.isMaximized()
item_maxed = self.frame_state.item_is_maximized
if is_win and is_maxed or item_maxed:
self.showNormal()
else:
self.showMaximized()
def reset(self):
""" Reset the container to the initial pre-docked state.
"""
state = self.frame_state
state.dragging = False
state.press_pos = None
self.showNormal()
self.unfloat()
self.hideLinkButton()
self.setLinked(False)
self.showTitleBar()
self.setAttribute(Qt.WA_WState_ExplicitShowHide, False)
self.setAttribute(Qt.WA_WState_Hidden, False)
def float(self):
""" Set the window state to be a toplevel floating window.
"""
self.hide()
self.setAttribute(Qt.WA_Hover, True)
flags = Qt.Tool | Qt.FramelessWindowHint
self.setParent(self.manager().dock_area(), flags)
self.layout().setContentsMargins(QMargins(5, 5, 5, 5))
self.setProperty('floating', True)
self.setLinked(False)
self.showLinkButton()
repolish(self)
self.topLevelChanged.emit(True)
def unfloat(self):
""" Set the window state to be non-floating window.
"""
self.hide()
self.setAttribute(Qt.WA_Hover, False)
self.setParent(self.manager().dock_area(), Qt.Widget)
self.layout().setContentsMargins(QMargins(0, 0, 0, 0))
self.unsetCursor()
self.setProperty('floating', False)
self.setLinked(False)
self.hideLinkButton()
repolish(self)
self.topLevelChanged.emit(False)
def parentDockArea(self):
""" Get the parent dock area of the container.
Returns
-------
result : QDockArea or None
The nearest ancestor which is an instance of QDockArea, or
None if no such ancestor exists.
"""
parent = self.parent()
while parent is not None:
if isinstance(parent, QDockArea):
return parent
parent = parent.parent()
def parentDockTabWidget(self):
""" Get the parent dock area of the container.
Returns
-------
result : QDockTabWidget or None
The nearest ancestor which is an instance of QDockTabWidget,
or None if no such ancestor exists.
"""
parent = self.parent()
while parent is not None:
if isinstance(parent, QDockTabWidget):
return parent
parent = parent.parent()
def unplug(self):
""" Unplug the container from its containing dock area.
This method is invoked by the framework when appropriate. It
should not need to be called by user code.
Returns
-------
result : bool
True if the container was unplugged, False otherwise.
"""
dock_area = self.parentDockArea()
if dock_area is None:
return False
# avoid a circular import
from .layout_handling import unplug_container
return unplug_container(dock_area, self)
def untab(self, pos):
""" Unplug the container from a tab control.
This method is invoked by the QDockTabBar when the container
should be torn out. It synthesizes the appropriate internal
state so that the item can continue to be dock dragged. This
method should not be called by user code.
Parameters
----------
pos : QPoint
The global mouse position.
Returns
-------
result : bool
True on success, False otherwise.
"""
if not self.unplug():
return
state = self.frame_state
state.mouse_title = True
state.dragging = True
self.float()
self.raiseFrame()
title_bar = self.dockItem().titleBarWidget()
title_pos = QPoint(title_bar.width() / 2, title_bar.height() / 2)
margins = self.layout().contentsMargins()
offset = QPoint(margins.left(), margins.top())
state.press_pos = title_bar.mapTo(self, title_pos) + offset
self.move(pos - state.press_pos)
self.show()
self.grabMouse()
self.activateWindow()
self.raise_()
#--------------------------------------------------------------------------
# Event Handlers
#--------------------------------------------------------------------------
def eventFilter(self, obj, event):
""" Filter the events for the dock item.
This filter will proxy out the mouse events for the dock item.
This event filter will only be activated when the dock item is
set to maximzed mode.
"""
if obj is not self._dock_item:
return False
if event.type() == QEvent.MouseButtonPress:
return self.filteredMousePressEvent(event)
elif event.type() == QEvent.MouseMove:
return self.filteredMouseMoveEvent(event)
elif event.type() == QEvent.MouseButtonRelease:
return self.filteredMouseReleaseEvent(event)
return False
def filteredMousePressEvent(self, event):
""" Handle the filtered mouse press event for the dock item.
"""
bar = self.dockItem().titleBarWidget()
if bar.isVisible() and bar.geometry().contains(event.pos()):
self.frame_state.mouse_title = True
return self.titleBarMousePressEvent(event)
return False
def filteredMouseMoveEvent(self, event):
""" Handle the filtered mouse move event for the dock item.
"""
if self.frame_state.mouse_title:
return self.titleBarMouseMoveEvent(event)
return False
def filteredMouseReleaseEvent(self, event):
""" Handle the filtered mouse release event for the dock item.
"""
if self.frame_state.mouse_title:
self.frame_state.mouse_title = False
return self.titleBarMouseReleaseEvent(event)
return False
def closeEvent(self, event):
""" Handle the close event for the dock container.
"""
self.manager().close_container(self, event)
def titleBarMousePressEvent(self, event):
""" Handle a mouse press event on the title bar.
Returns
-------
result : bool
True if the event is handled, False otherwise.
"""
if event.button() == Qt.LeftButton:
state = self.frame_state
if state.press_pos is None:
state.press_pos = event.pos()
return True
return False
def titleBarMouseMoveEvent(self, event):
""" Handle a mouse move event on the title bar.
Returns
-------
result : bool
True if the event is handled, False otherwise.
"""
state = self.frame_state
if state.press_pos is None:
return False
# If dragging and floating, move the container's position and
# notify the manager of that the container was mouse moved. If
# the container is maximized, it is first restored before.
global_pos = event.globalPos()
if state.dragging:
if self.isWindow():
target_pos = global_pos - state.press_pos
self.manager().drag_move_frame(self, target_pos, global_pos)
return True
# Ensure the drag has crossed the app drag threshold.
dist = (event.pos() - state.press_pos).manhattanLength()
if dist <= QApplication.startDragDistance():
return True
# If the container is already floating, ensure that it is shown
# normal size. The next move event will move the window.
state.dragging = True
if self.isWindow():
if self.isMaximized():
coeff = state.press_pos.x() / float(self.width())
self.showNormal()
state.press_pos = _computePressPos(self, coeff)
return True
# Restore a maximized dock item before unplugging.
if state.item_is_maximized:
bar = self.dockItem().titleBarWidget()
coeff = state.press_pos.x() / float(bar.width())
self.showNormal()
state.press_pos = _computePressPos(self, coeff)
# Unplug the container from the layout before floating so
# that layout widgets can clean themselves up when empty.
if not self.unplug():
return False
# Make the container a toplevel frame, update it's Z-order,
# and grab the mouse to continue processing drag events.
self.float()
self.raiseFrame()
margins = self.layout().contentsMargins()
state.press_pos += QPoint(0, margins.top())
self.move(global_pos - state.press_pos)
self.show()
self.grabMouse()
self.activateWindow()
self.raise_()
return True
def titleBarMouseReleaseEvent(self, event):
""" Handle a mouse release event on the title bar.
Returns
-------
result : bool
True if the event is handled, False otherwise.
"""
if event.button() == Qt.LeftButton:
state = self.frame_state
if state.press_pos is not None:
self.releaseMouse()
if self.isWindow():
self.manager().drag_release_frame(self, event.globalPos())
state.dragging = False
state.press_pos = None
return True
return False
| [
"sccolbert@gmail.com"
] | sccolbert@gmail.com |
4d5cf3b281253a0ff8110f76cc5142cb3cf4c837 | 4c6c2a8257c12c0b1d4aff84089c9ee33823acc8 | /ex041.py | 6f93e0ea1ee9e222119b058cdd05faaa6129b03f | [] | no_license | AilanPaula/Curso_em_video_Python3 | ab69295424b327e42690196a5d710e25d7846086 | 8fbe2964b232969c493438997d18762d7f89ebc0 | refs/heads/master | 2020-06-26T05:20:30.001036 | 2019-08-05T13:25:42 | 2019-08-05T13:25:42 | 199,545,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | '''
Crie um programa que leia duas notas de um aluno e calcule sua média, mostrando uma mensagem no final,
de acordo com a média atingida:
-> Média abaixo de 5.0: REPROVADO
-> Média entre 5.0 e 6.9: RECUPERAÇÃO
-> Média 7.0 ou superior: APROVADO
'''
nota1 = float(input('Nota 1: '))
nota2 = float(input('Nota 2: '))
media = (nota1 + nota2) / 2
if media >= 7.0:
print('Aprovado')
elif media >= 5.0 and media < 7.0:
print('Recuperação')
else:
print('Reprovado')
| [
"ailanpaula@hotmail.com"
] | ailanpaula@hotmail.com |
2b0925270cc4865750383848e14aa68b739cf6fb | d252c3496a4dc715df1f5f1d0db4e4228811d29a | /caching/CacheInstance.py | 1c7f2ad0b277da8a22d9e70b83f402ab7709ba20 | [] | no_license | aredev/quic-scapy | df0ca35d937ea877ddbf2894c03d9c4b635da1e7 | 3df8e8b9d2db7ba9ebf75f7fdf2029c855bb432f | refs/heads/master | 2021-04-06T09:35:03.685639 | 2018-06-26T17:40:41 | 2018-06-26T17:40:41 | 125,071,319 | 11 | 0 | null | null | null | null | UTF-8 | Python | false | false | 934 | py | import peewee
from caching.SessionModel import SessionModel
class CacheInstance:
"""
"""
__instance = None
__db = None
@staticmethod
def get_instance():
if CacheInstance.__instance is None:
return CacheInstance()
else:
return CacheInstance.__instance
def __init__(self):
if CacheInstance.__instance is not None:
raise Exception("Singleton bla")
else:
self.__db = peewee.SqliteDatabase('quic_scapy.db')
self.__db.connect()
self.__db.drop_tables([SessionModel])
self.__db.create_tables([SessionModel])
def add_session_model(self, model: SessionModel):
model.save()
def remove_session_model(self):
self.__db.drop_tables([SessionModel])
self.__db.create_tables([SessionModel])
def retrieve_current_session(self):
return SessionModel.select()
| [
"appierasool@gmail.com"
] | appierasool@gmail.com |
dfcb7dfeeb3c6b1f35413b7208110d79c55af59a | a05fbee56f08f09a839ae9e9c4d909dfac0f58e2 | /crossdomain/read_ud.py | 6cb6bccd91977f66c1a9b7ce74125649afd4ba85 | [
"MIT"
] | permissive | INK-USC/ConNet | b67d7c1d9d0379e8a3205273ee428cb0aa4c9179 | adb299f160556004561df302c19578200bd3835b | refs/heads/master | 2020-08-04T15:09:09.969997 | 2020-04-14T05:00:33 | 2020-04-14T05:00:33 | 212,179,312 | 12 | 2 | null | null | null | null | UTF-8 | Python | false | false | 5,791 | py | from pathlib import Path
import pickle
import sys, os
import argparse
from collections import defaultdict, Counter, OrderedDict
import logging as log
import numpy as np
import random
import math, re
import time
import copy
import torch
import torch.nn as nn
torch.manual_seed(123)
np.random.seed(123)
random.seed(123)
# read glove embeddings
def read_emb(emb_file, word_vocab):
with open(emb_file, 'r', encoding="utf-8") as f:
emb_list = []
for x in f:
xx = x.strip().split(' ')
if xx[0] in word_vocab:
emb_list.append((xx[0], [float(r) for r in xx[1:]]))
word_emb = np.array([r[1] for r in emb_list])
# add special tokens
word_emb = np.vstack((np.zeros((1, word_emb.shape[1])), word_emb))
word_emb = np.vstack((np.mean(word_emb, 0), word_emb))
curr_word_vocab = ['<unk>', '<pad>'] + [r[0] for r in emb_list]
word2idx = OrderedDict((curr_word_vocab[i], i) for i in range(len(curr_word_vocab)))
return (word_emb, word2idx)
def read_gum(data_file):
data, curr_data = [], []
curr_doc_id, curr_genre, curr_sent_id = None, None, None
with open(data_file, 'r') as f:
i = 0
for line in f:
if line.startswith('# newdoc id = '):
curr_doc_id = line.strip().split('# newdoc id = ')[1]
_, curr_genre, detail = curr_doc_id.split('_')
elif line.startswith('# sent_id = '):
curr_sent_id = line.strip().split('# sent_id = ')[1]
elif line == '\n':
data.append({'data_id': i, 'doc_id': curr_doc_id, 'sent_id': curr_sent_id, 'genre': curr_genre, \
'words': [r[0] for r in curr_data], 'pos_tags': [r[1] for r in curr_data]})
curr_data = []
i += 1
elif line[0] != '#':
id, form, lemma, upostag, xpostag, feats, head, deprel, deps, misc = line.strip().split('\t')
curr_data.append([form, upostag])
return data
def char_feats(words, char2idx):
char_idx, char_boundaries, curr_char_boundary = [], [], []
posit = 0
for i in range(len(words)):
if i != 0:
char_idx.append(char2idx['<dlm>'])
posit += 1
curr_char_boundary.append(posit)
for c in words[i]:
char_idx.append(char2idx[c.lower()] if c.lower() in char2idx else char2idx['<unk>'])
posit += 1
curr_char_boundary.append(posit-1)
char_boundaries.append(curr_char_boundary)
curr_char_boundary = []
return char_idx, char_boundaries
def create_feats(data, char2idx, word2idx, task2idx, label2idx):
for i in range(len(data)):
d = data[i]
data_id = d['data_id']
task = task2idx[d['genre']]
words = d['words']
char_idx, char_boundaries = char_feats(words, char2idx)
label = [label2idx[r] for r in d['pos_tags']]
feats = {'data_id': data_id, 'task': task, 'chars': char_idx, \
'char_boundaries': char_boundaries, 'words': words, 'label': label}
data[i] = {'ref': d, 'feats': feats}
if __name__ == '__main__':
p = argparse.ArgumentParser()
p.add_argument('-data_dir', help='path to data directory')
p.add_argument('-word_emb_dir', help='path to word embedding files')
p.add_argument('-save_data', help='path to save processed data')
args = p.parse_args()
print(args)
# For debugging
# pickle.dump(args, open('pickle_breakpoints/read_ud.p', 'wb'))
# assert False
# args = pickle.load(open('pickle_breakpoints/read_ud.p', 'rb'))
train_data = read_gum(args.data_dir + '/en_gum-ud-train.conllu')
dev_data = read_gum(args.data_dir + '/en_gum-ud-dev.conllu')
test_data = read_gum(args.data_dir + '/en_gum-ud-test.conllu')
all_words = [r.lower() for rr in train_data+dev_data+test_data for r in rr['words']]
word_vocab = list(set(all_words))
for word_emb_file in ['glove.6B.50d.txt', 'glove.6B.100d.txt', 'glove.6B.200d.txt', 'glove.6B.300d.txt']:
word_emb, word2idx = read_emb(args.word_emb_dir+'/' + word_emb_file, word_vocab)
pickle.dump({'word_emb': word_emb, 'word2idx': word2idx}, open(args.save_data + '/' + word_emb_file + '.p', 'wb'))
# leave 10% chars as OOV
train_chars = [r for r in ''.join([r.lower() for rr in train_data for r in rr['words']])]
train_chars = [r[0] for r in sorted(Counter(train_chars).items(), key=lambda x:x[1], reverse=True)]
train_chars = ['<unk>', '<pad>', '<dlm>'] + train_chars[:int(len(train_chars)*0.9)] # dlm is word delimiter
char2idx = {y:x for x,y in enumerate(train_chars)}
for char_emb_dim in [30,50,100,200]:
char_emb = nn.Embedding(len(char2idx), char_emb_dim, padding_idx=char2idx['<pad>'])
char_emb = char_emb.weight.detach().numpy()
pickle.dump({'char_emb': char_emb, 'char2idx': char2idx}, open(args.save_data + '/random_char_emb_' + str(char_emb_dim) + '.p', 'wb'))
all_labels = ['<start>', '<pad>'] + list(set([r for rr in test_data for r in rr['pos_tags']]))
label2idx = {k:v for v,k in enumerate(all_labels)}
all_tasks = list(set([r['genre'] for r in test_data])) # here "task" means genre
task2idx = {k:v for v,k in enumerate(all_tasks)}
pickle.dump({'label2idx': label2idx, 'task2idx': task2idx}, open(args.save_data+'/common.p', 'wb'))
create_feats(train_data, char2idx, word2idx, task2idx, label2idx)
create_feats(dev_data, char2idx, word2idx, task2idx, label2idx)
create_feats(test_data, char2idx, word2idx, task2idx, label2idx)
pickle.dump({'train_data': train_data, 'dev_data': dev_data, 'test_data': test_data}, open(args.save_data+'/data.p', 'wb'))
| [
"huan183@usc.edu"
] | huan183@usc.edu |
bd44b5d8494ad55030d5d025e1f24e94f5c0e5ca | 20125d3579eff08bd4e28f4c4ba914a185d3f9ea | /collision_map.py | 75999d7a3ee739632c2f681265c057f71474b2a9 | [
"MIT"
] | permissive | incherre/slam-bot | 9e3b519a1197fd288f12a7b92864133eaa248bfa | b9835ba42ba1c06e5f68d73bdc9791e98ccfa632 | refs/heads/master | 2022-06-16T15:04:05.082016 | 2022-06-05T18:40:06 | 2022-06-05T18:40:06 | 137,243,316 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,524 | py | '''A map to record possible obstacles.'''
from math import sin, cos, inf, sqrt
REPR_VERSION_STRING = "v1"
class MapLocation:
'''A location of the map that stores various counts.'''
def __init__(self):
# The number of times an agent has stepped in this location, strong evidence it is clear.
self.stepped_count = 0
# The number of times a scan beam has passed through this location, weak evidence it is clear.
self.missed_count = 0
# The number of times a scan beam has terminated in this location, evidence of an obstacle.
self.hit_count = 0
def __eq__(self, other):
return isinstance(other, MapLocation) and \
self.stepped_count == other.stepped_count and \
self.missed_count == other.missed_count and \
self.hit_count == other.hit_count
def get_discrete_coord(scale, coord):
shifted = coord + (scale / 2)
return int(shifted - shifted % scale)
def v_dot(v1, v2):
return v1[0] * v2[0] + v1[1] * v2[1]
def v_diff(v1, v2):
return (v1[0] - v2[0], v1[1] - v2[1])
class CollisionMap:
'''A map which records possible obstacles given a sensor reading.'''
def __init__(self, collision_map_scale=5, collision_map_max_dist=100, **kwargs):
assert(isinstance(collision_map_scale, int))
assert(collision_map_scale > 0)
self.scale = collision_map_scale
assert(isinstance(collision_map_max_dist, int))
assert(collision_map_max_dist > 0)
self.max_dist = collision_map_max_dist
self.rectangle_tolerance = collision_map_scale / 1000
self.map = {}
@classmethod
def from_string(cls, serialized_map):
'''Creates a new map from a string generated by __repr__.'''
new_map = None
for line_number, line in enumerate(serialized_map.split("\n")):
if line_number == 0:
assert(line == REPR_VERSION_STRING)
elif line_number == 1:
assert(line == "scale,max_dist")
elif line_number == 2:
[scale, max_dist] = line.split(",")
new_map = cls(collision_map_scale=int(scale), collision_map_max_dist=int(max_dist))
elif line_number == 3:
assert(line == "x,y,stepped_count,missed_count,hit_count")
elif line_number > 3:
assert(new_map is not None)
[x, y, stepped_count, missed_count, hit_count] = line.split(",")
line_location = new_map.get_location(int(x), int(y), create = True)
line_location.stepped_count = int(stepped_count)
line_location.missed_count = int(missed_count)
line_location.hit_count = int(hit_count)
return new_map
def get_key(self, x, y):
'''Returns the key into the internal map corresponding to the provided point.'''
shifted_x = x + (self.scale / 2)
shifted_y = y + (self.scale / 2)
return (int(shifted_x - shifted_x % self.scale), int(shifted_y - shifted_y % self.scale))
def get_location(self, x, y, create = False):
'''Retrieves the obstacle information for the given location.'''
key = self.get_key(x, y)
if not key in self.map and not create:
return MapLocation()
if not key in self.map and create:
self.map[key] = MapLocation()
return self.map[key]
def get_neighbor_keys(self, x, y):
'''Get the keys for all 8 adjacent neighbor cells.'''
key_x, key_y = self.get_key(x, y)
neighbors = []
for dx in [-self.scale, 0, self.scale]:
for dy in [-self.scale, 0, self.scale]:
if dx == 0 and dy == 0:
continue
neighbors.append((key_x + dx, key_y + dy))
return neighbors
def record_observations(self, x, y, theta, observations):
'''Record the appropriate counts for each of the given (delta_theta, distance) pairs based out
of the provided current location.'''
current_location_key = self.get_key(x, y)
self.__get_or_insert_location(current_location_key).stepped_count += 1
for delta_theta, distance in observations:
self.__add_line(x, y, theta + delta_theta, distance, current_location_key)
def get_locations_within_rectangle(self, p1, p2, p3, p4):
'''Returns the set of all observed locations partially or fully inside the given rectangle.'''
assert abs(p1[0] - p2[0]) + abs(p1[1] - p2[1]) > self.rectangle_tolerance, "Provided rectangle points are equal (or close enough)."
assert abs(p1[0] - p3[0]) + abs(p1[1] - p3[1]) > self.rectangle_tolerance, "Provided rectangle points are equal (or close enough)."
assert abs(p1[0] - p4[0]) + abs(p1[1] - p4[1]) > self.rectangle_tolerance, "Provided rectangle points are equal (or close enough)."
assert abs(p2[0] - p3[0]) + abs(p2[1] - p3[1]) > self.rectangle_tolerance, "Provided rectangle points are equal (or close enough)."
assert abs(p2[0] - p4[0]) + abs(p2[1] - p4[1]) > self.rectangle_tolerance, "Provided rectangle points are equal (or close enough)."
assert abs(p3[0] - p4[0]) + abs(p3[1] - p4[1]) > self.rectangle_tolerance, "Provided rectangle points are equal (or close enough)."
center_x = (p1[0] + p2[0] + p3[0] + p4[0]) / 4
center_y = (p1[1] + p2[1] + p3[1] + p4[1]) / 4
center_dist = (center_x - p1[0]) ** 2 + (center_y - p1[1]) ** 2
for px, py in [p2, p3, p4]:
p_dist = (center_x - px) ** 2 + (center_y - py) ** 2
assert abs(p_dist - center_dist) < self.rectangle_tolerance, "Provided points do not make a rectangle."
edge12_dist = v_dot(v_diff(p1, p2), v_diff(p1, p2))
diag13_dist = v_dot(v_diff(p1, p3), v_diff(p1, p3))
assert edge12_dist < diag13_dist, "Provided rectangle points are incorrectly ordered."
# Precompute some the rectangle's axes and dimensions.
rectangle_axis_1 = v_diff(p1, p2)
rectangle_axis_1_norm = sqrt(v_dot(rectangle_axis_1, rectangle_axis_1))
rectangle_axis_1_unit = (rectangle_axis_1[0] / rectangle_axis_1_norm,
rectangle_axis_1[1] / rectangle_axis_1_norm)
min_rectangle_axis_1 = min(v_dot(p1, rectangle_axis_1_unit), v_dot(p2, rectangle_axis_1_unit))
max_rectangle_axis_1 = max(v_dot(p1, rectangle_axis_1_unit), v_dot(p2, rectangle_axis_1_unit))
rectangle_axis_2 = v_diff(p1, p4)
rectangle_axis_2_norm = sqrt(v_dot(rectangle_axis_2, rectangle_axis_2))
rectangle_axis_2_unit = (rectangle_axis_2[0] / rectangle_axis_2_norm,
rectangle_axis_2[1] / rectangle_axis_2_norm)
min_rectangle_axis_2 = min(v_dot(p1, rectangle_axis_2_unit), v_dot(p4, rectangle_axis_2_unit))
max_rectangle_axis_2 = max(v_dot(p1, rectangle_axis_2_unit), v_dot(p4, rectangle_axis_2_unit))
# Get the grid-aligned bounding box to check.
min_x, min_y = self.get_key(min(p1[0], p2[0], p3[0], p4[0]), min(p1[1], p2[1], p3[1], p4[1]))
max_x, max_y = self.get_key(max(p1[0], p2[0], p3[0], p4[0]), max(p1[1], p2[1], p3[1], p4[1]))
results = {}
location_count = 0
current_x = min_x
current_y = min_y
while current_y <= max_y:
location_p1 = (current_x - (self.scale / 2), current_y - (self.scale / 2))
location_p2 = (current_x + (self.scale / 2), current_y - (self.scale / 2))
location_p3 = (current_x - (self.scale / 2), current_y + (self.scale / 2))
location_p4 = (current_x + (self.scale / 2), current_y + (self.scale / 2))
# Using the Separating Axis Theorem to check for overlap between the
# rectangle and the location domain. Though I skip projecting the
# rectangle onto the location's axes, since those checks are covered
# by the loop invariants.
min_location_axis_1 = min(v_dot(location_p1, rectangle_axis_1_unit),
v_dot(location_p2, rectangle_axis_1_unit),
v_dot(location_p3, rectangle_axis_1_unit),
v_dot(location_p4, rectangle_axis_1_unit))
max_location_axis_1 = max(v_dot(location_p1, rectangle_axis_1_unit),
v_dot(location_p2, rectangle_axis_1_unit),
v_dot(location_p3, rectangle_axis_1_unit),
v_dot(location_p4, rectangle_axis_1_unit))
if min_location_axis_1 > max_rectangle_axis_1 or min_rectangle_axis_1 > max_location_axis_1:
# This location is not inside the rectangle.
current_x += self.scale
if current_x > max_x:
current_x = min_x
current_y += self.scale
continue
min_location_axis_2 = min(v_dot(location_p1, rectangle_axis_2_unit),
v_dot(location_p2, rectangle_axis_2_unit),
v_dot(location_p3, rectangle_axis_2_unit),
v_dot(location_p4, rectangle_axis_2_unit))
max_location_axis_2 = max(v_dot(location_p1, rectangle_axis_2_unit),
v_dot(location_p2, rectangle_axis_2_unit),
v_dot(location_p3, rectangle_axis_2_unit),
v_dot(location_p4, rectangle_axis_2_unit))
if min_location_axis_2 > max_rectangle_axis_2 or min_rectangle_axis_2 > max_location_axis_2:
# This location is not inside the rectangle.
current_x += self.scale
if current_x > max_x:
current_x = min_x
current_y += self.scale
continue
location_count += 1
if not (current_x, current_y) in self.map:
# This location has not been observed.
current_x += self.scale
if current_x > max_x:
current_x = min_x
current_y += self.scale
continue
results[(current_x, current_y)] = self.get_location(current_x, current_y)
current_x += self.scale
if current_x > max_x:
current_x = min_x
current_y += self.scale
return results, location_count
def __add_line(self, start_x, start_y, theta, distance, current_location_key):
'''Record all spots along the given line as passed through, and records the final spot as hit.'''
start_point_key = self.get_key(start_x, start_y)
end_x = start_x + min(distance, self.max_dist) * cos(theta)
end_y = start_y + min(distance, self.max_dist) * sin(theta)
end_point_key = self.get_key(end_x, end_y)
if distance <= self.max_dist:
self.__get_or_insert_location(end_point_key).hit_count += 1
x, y = start_point_key
current_distance = sqrt((end_x - x) ** 2 + (end_y - y) ** 2)
a = -sin(theta)
b = cos(theta)
c = (start_x * sin(theta)) - (start_y * cos(theta))
while current_distance <= self.max_dist:
if self.get_key(x, y) != start_point_key:
# Don't record the starting point as passed through,
# since it will be recorded as stepped in.
self.get_location(x, y, create = True).missed_count += 1
if (x, y) in self.get_neighbor_keys(end_point_key[0], end_point_key[1]):
break
next_x = None
next_y = None
next_error = inf
for option_x, option_y in self.get_neighbor_keys(x, y):
option_dist = sqrt((end_x - option_x) ** 2 + (end_y - option_y) ** 2)
if option_dist >= current_distance:
# Don't move away from the target!
continue
option_error = abs((a * option_x) + (b * option_y) + c) / sqrt(a ** 2 + b ** 2)
if option_error < next_error:
next_x = option_x
next_y = option_y
next_error = option_error
if next_x is None or next_y is None:
break
x = next_x
y = next_y
current_distance = sqrt((end_x - x) ** 2 + (end_y - y) ** 2)
def __get_or_insert_location(self, key):
'''Retrieves the obstacle information for the given location, but will insert
a new location into the map if it is missing.'''
if not key in self.map:
self.map[key] = MapLocation()
return self.map[key]
def __repr__(self):
repr_str = REPR_VERSION_STRING + "\n"
repr_str += "\n".join(["scale,max_dist",
",".join([str(self.scale), str(self.max_dist)]),
"x,y,stepped_count,missed_count,hit_count"] +
[",".join(
[str(x), str(y), str(value.stepped_count),
str(value.missed_count), str(value.hit_count)]
) for [x, y], value in self.map.items()])
return repr_str
| [
"incherre2526@gmail.com"
] | incherre2526@gmail.com |
77a35dc40a9073587aaadf01130767449aed2a7e | 6f6b5f86080d8e5b9895c13f60be6c30f1fa516d | /accounts/urls.py | 0a8bfbcc9f1daf931f70f3fdd2f2707de9e256bc | [] | no_license | SurajT22/carzone-project | 4565c0be6295f89259670006b43549f87c42a0cc | 08186f41d84b952321a230a2966fa8616991e440 | refs/heads/main | 2023-05-12T08:58:23.707969 | 2023-05-08T15:11:37 | 2023-05-08T15:11:37 | 362,905,594 | 0 | 0 | null | 2023-05-06T13:00:53 | 2021-04-29T18:06:15 | Python | UTF-8 | Python | false | false | 275 | py | from django.urls import path
from .import views
urlpatterns = [
path('login', views.login,name='login'),
path('register', views.register, name='register'),
path('logout', views.logout, name='logout'),
path('dashboard', views.dashboard, name='dashboard'),
] | [
"rapid.suraj@gmail.com"
] | rapid.suraj@gmail.com |
bd112b6b91db0e8519d273c4522bb251c13e67ed | b6b0196d11e1c7a4dd36d41c255285e751ec1a6f | /Python/Delete occurrences of an element if it occurs more than n times/solution.py | 98eb9d44699dad244bbc5001e6a4253772644100 | [] | no_license | tejanke/Codewars | 967abb17babe7540bafb3880c647516d7f3c6a34 | 79ae819321e2f10a7d4c8d2b3aa1d2dad1422f30 | refs/heads/main | 2023-03-12T23:02:04.983427 | 2021-03-01T23:21:43 | 2021-03-01T23:21:43 | 313,048,975 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py | def delete_nth(order,max_e):
result = []
for o in order:
if o not in result:
result.append(o)
else:
if result.count(o) < max_e:
result.append(o)
return result
| [
"noreply@github.com"
] | noreply@github.com |
dbe0a5a91d774e8c317b43293a42fde45b272cee | e5b8a5d93989dd53933c5cd417afa8b2a39ad307 | /ultracart/models/oauth_token_response.py | 3c0fa3d282238a67a49514ccec2bfe343dd0916b | [
"Apache-2.0"
] | permissive | gstingy/uc_python_api | f3586bfce9c962af2e8c1bc266ff25e0f1971278 | 9a0bd3f6e63f616586681518e44fe37c6bae2bba | refs/heads/master | 2020-03-28T11:13:22.537641 | 2018-09-10T17:07:59 | 2018-09-10T17:07:59 | 148,190,066 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,949 | py | # coding: utf-8
"""
UltraCart Rest API V2
UltraCart REST API Version 2
OpenAPI spec version: 2.0.0
Contact: support@ultracart.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class OauthTokenResponse(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'access_token': 'str',
'error': 'str',
'error_description': 'str',
'error_uri': 'str',
'expires_in': 'str',
'refresh_token': 'str',
'scope': 'str',
'token_type': 'str'
}
attribute_map = {
'access_token': 'access_token',
'error': 'error',
'error_description': 'error_description',
'error_uri': 'error_uri',
'expires_in': 'expires_in',
'refresh_token': 'refresh_token',
'scope': 'scope',
'token_type': 'token_type'
}
def __init__(self, access_token=None, error=None, error_description=None, error_uri=None, expires_in=None, refresh_token=None, scope=None, token_type=None):
"""
OauthTokenResponse - a model defined in Swagger
"""
self._access_token = None
self._error = None
self._error_description = None
self._error_uri = None
self._expires_in = None
self._refresh_token = None
self._scope = None
self._token_type = None
self.discriminator = None
if access_token is not None:
self.access_token = access_token
if error is not None:
self.error = error
if error_description is not None:
self.error_description = error_description
if error_uri is not None:
self.error_uri = error_uri
if expires_in is not None:
self.expires_in = expires_in
if refresh_token is not None:
self.refresh_token = refresh_token
if scope is not None:
self.scope = scope
if token_type is not None:
self.token_type = token_type
@property
def access_token(self):
"""
Gets the access_token of this OauthTokenResponse.
Access token to use in OAuth authenticated API call
:return: The access_token of this OauthTokenResponse.
:rtype: str
"""
return self._access_token
@access_token.setter
def access_token(self, access_token):
"""
Sets the access_token of this OauthTokenResponse.
Access token to use in OAuth authenticated API call
:param access_token: The access_token of this OauthTokenResponse.
:type: str
"""
self._access_token = access_token
@property
def error(self):
"""
Gets the error of this OauthTokenResponse.
:return: The error of this OauthTokenResponse.
:rtype: str
"""
return self._error
@error.setter
def error(self, error):
"""
Sets the error of this OauthTokenResponse.
:param error: The error of this OauthTokenResponse.
:type: str
"""
self._error = error
@property
def error_description(self):
"""
Gets the error_description of this OauthTokenResponse.
:return: The error_description of this OauthTokenResponse.
:rtype: str
"""
return self._error_description
@error_description.setter
def error_description(self, error_description):
"""
Sets the error_description of this OauthTokenResponse.
:param error_description: The error_description of this OauthTokenResponse.
:type: str
"""
self._error_description = error_description
@property
def error_uri(self):
"""
Gets the error_uri of this OauthTokenResponse.
:return: The error_uri of this OauthTokenResponse.
:rtype: str
"""
return self._error_uri
@error_uri.setter
def error_uri(self, error_uri):
"""
Sets the error_uri of this OauthTokenResponse.
:param error_uri: The error_uri of this OauthTokenResponse.
:type: str
"""
self._error_uri = error_uri
@property
def expires_in(self):
"""
Gets the expires_in of this OauthTokenResponse.
The number of seconds since issuance when the access token will expire and need to be refreshed using the refresh token
:return: The expires_in of this OauthTokenResponse.
:rtype: str
"""
return self._expires_in
@expires_in.setter
def expires_in(self, expires_in):
"""
Sets the expires_in of this OauthTokenResponse.
The number of seconds since issuance when the access token will expire and need to be refreshed using the refresh token
:param expires_in: The expires_in of this OauthTokenResponse.
:type: str
"""
self._expires_in = expires_in
@property
def refresh_token(self):
"""
Gets the refresh_token of this OauthTokenResponse.
The refresh token that should be used to fetch a new access token when the expiration occurs
:return: The refresh_token of this OauthTokenResponse.
:rtype: str
"""
return self._refresh_token
@refresh_token.setter
def refresh_token(self, refresh_token):
"""
Sets the refresh_token of this OauthTokenResponse.
The refresh token that should be used to fetch a new access token when the expiration occurs
:param refresh_token: The refresh_token of this OauthTokenResponse.
:type: str
"""
self._refresh_token = refresh_token
@property
def scope(self):
"""
Gets the scope of this OauthTokenResponse.
The scope of permissions associated with teh access token
:return: The scope of this OauthTokenResponse.
:rtype: str
"""
return self._scope
@scope.setter
def scope(self, scope):
"""
Sets the scope of this OauthTokenResponse.
The scope of permissions associated with teh access token
:param scope: The scope of this OauthTokenResponse.
:type: str
"""
self._scope = scope
@property
def token_type(self):
"""
Gets the token_type of this OauthTokenResponse.
Type of token
:return: The token_type of this OauthTokenResponse.
:rtype: str
"""
return self._token_type
@token_type.setter
def token_type(self, token_type):
"""
Sets the token_type of this OauthTokenResponse.
Type of token
:param token_type: The token_type of this OauthTokenResponse.
:type: str
"""
allowed_values = ["bearer"]
if token_type not in allowed_values:
raise ValueError(
"Invalid value for `token_type` ({0}), must be one of {1}"
.format(token_type, allowed_values)
)
self._token_type = token_type
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if not isinstance(other, OauthTokenResponse):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
| [
"perry@ultracart.com"
] | perry@ultracart.com |
3a8e593b81b23b2f274a801b086735a0e264183a | 109fdd9d849376c31a0f0bd8c658c5fe5ae32fdb | /FunctionalTests/test_AddItemToCart.py | 9cbf0771f9e3d5775c79a7053026e31ee4598d17 | [] | no_license | jaggureddy/PythonSelenium | 370e6a3e87a2559d77218992c092d3b2dcdf80bf | a44df0e446a591128e86a755e4bcc9a97aa8fe23 | refs/heads/master | 2022-12-03T06:58:28.365415 | 2020-08-22T02:17:57 | 2020-08-22T02:17:57 | 287,144,539 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,028 | py | from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from time import sleep
from Pages.CheckOutPage import CheckOutPage
from Pages.Confirmpage import ConfirmPage
from Pages.HomePage import HomePage
from Utilities.BaseClass import BaseClass
class TestAddItemToCart(BaseClass):
def test_AddItemToCart(self):
homePage = HomePage(self.driver)
checkOutPage = CheckOutPage(self.driver)
confirmPage = ConfirmPage(self.driver)
# self.driver.find_element_by_xpath("//a[text()='Shop']").click()
homePage.shopItems().click()
# products = self.driver.find_elements_by_xpath("//div[@class='card h-100']")
products = checkOutPage.getProducts()
# for product in products:
# name = product.find_element_by_xpath("div/h4/a").text
# if name == "Blackberry":
# product.find_element_by_xpath("div/button").click()
products.click()
self.driver.execute_script("window.scrollBy(0,-1500);")
# self.driver.find_element_by_xpath("//a[contains(text(),'Checkout')]").click()
checkOutPage.selectCheckout().click()
sleep(10)
# checkout = self.driver.find_element_by_xpath("//button[@class='btn btn-success']")
checkout = confirmPage.selectCheckout()
self.driver.execute_script("arguments[0].click();", checkout)
sleep(10)
# wait = WebDriverWait(self.driver, 10)
# self.driver.get_screenshot_as_file('screen.png')
# wait.until(expected_conditions.presence_of_element_located(By.ID, 'country'))
self.verifyLinkPresence('ID', 'country')
self.driver.find_element_by_id("country").send_keys("Ind")
# wait.until(expected_conditions.presence_of_element_located(By.LINK_TEXT, "India"))
self.verifyLinkPresence('LINKTEXT', 'India')
self.driver.find_element_by_link_text('India').click()
sleep(5)
| [
"Jagadeesh6010@gmail.com"
] | Jagadeesh6010@gmail.com |
ad41e857d0ed042e01c4bab91e33751edd6153d1 | 552ddf9821a195762985f032f507b0cd9172fcfb | /Using_Databases_with_Python_(py4e_Coursera)/Week_3/Tracks.py | 6abc28b7dea993623653433ac1adbace59c54bb5 | [] | no_license | rmahmadkhan/PythonForEverybody-py4e-Coursera | 00d68e0d1ef017cf0badbb271944d097b5675a26 | 513dd2eb6608caa789bb4512231e525263f1ab1d | refs/heads/master | 2022-04-19T22:37:48.999191 | 2020-04-21T17:59:24 | 2020-04-21T17:59:24 | 201,275,150 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,776 | py | # In this assignment you will parse an XML list of albums, artists, and
# Genres and produce a properly normalized database using a Python program.
# You can use this code as a starting point for your application: http://www.py4e.com/code3/tracks.zip.
# The ZIP file contains the Library.xml file to be used for this assignment.
# To grade this assignment, the program will run a query like this on your uploaded database and look for the data it expects to see:
#SELECT Track.title, Artist.name, Album.title, Genre.name
# FROM Track JOIN Genre JOIN Album JOIN Artist
# ON Track.genre_id = Genre.ID and Track.album_id = Album.id
# AND Album.artist_id = Artist.id
# ORDER BY Artist.name LIMIT 3
# _________________________________________________________________
import xml.etree.ElementTree as ET
import sqlite3
conn = sqlite3.connect('trackdb.sqlite')
cur = conn.cursor()
# Make some fresh tables using executescript()
cur.executescript('''
DROP TABLE IF EXISTS Artist;
DROP TABLE IF EXISTS Album;
DROP TABLE IF EXISTS Track;
CREATE TABLE Artist (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
name TEXT UNIQUE
);
CREATE TABLE Genre (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
name TEXT UNIQUE
);
CREATE TABLE Album (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
artist_id INTEGER,
title TEXT UNIQUE
);
CREATE TABLE Track (
id INTEGER NOT NULL PRIMARY KEY
AUTOINCREMENT UNIQUE,
title TEXT UNIQUE,
album_id INTEGER,
genre_id INTEGER,
len INTEGER, rating INTEGER, count INTEGER
);
''')
fname = input('Enter file name: ')
if ( len(fname) < 1 ) : fname = 'Library.xml'
# <key>Track ID</key><integer>369</integer>
# <key>Name</key><string>Another One Bites The Dust</string>
# <key>Artist</key><string>Queen</string>
def lookup(d, key):
found = False
for child in d:
if found : return child.text
if child.tag == 'key' and child.text == key :
found = True
return None
stuff = ET.parse(fname)
all = stuff.findall('dict/dict/dict')
print('Dict count:', len(all))
for entry in all:
if ( lookup(entry, 'Track ID') is None ) : continue
name = lookup(entry, 'Name')
artist = lookup(entry, 'Artist')
album = lookup(entry, 'Album')
#Added this
genre = lookup(entry, 'Genre')
count = lookup(entry, 'Play Count')
rating = lookup(entry, 'Rating')
length = lookup(entry, 'Total Time')
# added genre here
if name is None or artist is None or album is None or genre is None :
continue
print(name, artist, album, genre, count, rating, length)
cur.execute('''INSERT OR IGNORE INTO Artist (name)
VALUES ( ? )''', ( artist, ) )
cur.execute('SELECT id FROM Artist WHERE name = ? ', (artist, ))
artist_id = cur.fetchone()[0]
cur.execute('''INSERT OR IGNORE INTO Album (title, artist_id)
VALUES ( ?, ? )''', ( album, artist_id ) )
cur.execute('SELECT id FROM Album WHERE title = ? ', (album, ))
album_id = cur.fetchone()[0]
#added genre table
cur.execute('''INSERT OR IGNORE INTO Genre (name)
VALUES ( ? )''', (genre, ))
cur.execute('SELECT id FROM Genre WHERE name = ?', (genre, ))
genre_id = cur.fetchone()[0]
cur.execute('''INSERT OR REPLACE INTO Track
(title, album_id, genre_id, len, rating, count)
VALUES ( ?, ?, ?, ?, ?, ? )''',
( name, album_id, genre_id, length, rating, count ) )
cur.execute('''SELECT Track.title, Artist.name, Album.title, Genre.name
FROM Track JOIN Genre JOIN Album JOIN Artist
ON Track.genre_id = Genre.ID and Track.album_id = Album.id
AND Album.artist_id = Artist.id
ORDER BY Artist.name LIMIT 3''')
conn.commit()
| [
"noreply@github.com"
] | noreply@github.com |
4c0ebc99422d109803628e1c5b84a2f0dac3ea31 | 7907b042b5c0dc96c387a3a9827e64f5ad2ec190 | /booking/sync/payments.py | 81b041623b75f886c70d49b6decdd6f3d7441a3d | [] | no_license | Stranger6667/testing-network | 6dbfd6429bcd730f72aa857c4bc41e1150e59134 | d8441ab29c125697f176be9fb4f40de739ab332e | refs/heads/master | 2022-12-21T21:12:11.279830 | 2021-04-20T20:00:04 | 2021-04-20T20:09:08 | 160,372,537 | 0 | 0 | null | 2022-12-08T01:27:40 | 2018-12-04T14:45:04 | Python | UTF-8 | Python | false | false | 450 | py | from decimal import Decimal
from . import exchange
from ..models import db, Transaction
def save_transaction(booking_id: int, amount: Decimal, currency: str):
"""We need to store EUR amount as well."""
amount_eur = exchange.to_eur(amount, currency)
transaction = Transaction(booking_id=booking_id, amount=amount, currency=currency, amount_eur=amount_eur)
db.session.add(transaction)
db.session.commit()
return transaction
| [
"dmitry.dygalo@kiwi.com"
] | dmitry.dygalo@kiwi.com |
a609eee87d2413308232d12e0b2a2feeb8ca9541 | 5b24e15d3c477c723f22e460cff345c8079c2559 | /Main.py | 6ca06d96284e4383cd03a27fd6c0928ea7206064 | [] | no_license | mguthrie45/Sudoku-Solver | 080bed6ed424d2e8d295ec8df9ea539a65258b93 | 00a19e9f4044a3d847246914158e01fbfe0e8fd9 | refs/heads/master | 2022-12-22T03:29:39.979530 | 2020-09-27T03:24:32 | 2020-09-27T03:24:32 | 288,836,765 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,875 | py | import pprint
import time
from Generator import generate_board
pp = pprint.PrettyPrinter(depth=6)
def missing_numbers(num_list):
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9]
for i in range(len(num_list)):
for j in numbers:
if num_list[i] == j:
numbers.remove(j)
return numbers
class Grid():
board = generate_board()
def __init__(self, rows, cols):
self.rows = rows
self.cols = cols
self.model = None
def column(self, j):
array = []
for i in range(len(self.board)):
array.append(self.board[i][j])
return array
def cube(self, i, j): #returns a list of the indices the cube you are in.
num_list = []
cube_coord = (i//3, j//3) #1, 1 would be a range i(3, 5) and j(3, 5)
i_range = (cube_coord[0]*3, cube_coord[0]*3+2)
j_range = (cube_coord[1]*3, cube_coord[1]*3+2)
for i in range(i_range[0], i_range[1]+1):
for j in range(j_range[0], j_range[1]+1):
num_list.append(self.board[i][j])
return num_list
def update(self, i, j, val):
self.board[i][j] = val
def solve(self, board):
empty_coord = find_empty(self.board)
if empty_coord is None:
return True
i, j = empty_coord
for num in range(1, 10):
if valid(i, j, num, self):
self.update(i, j, num)
if self.solve(self.board):
return True
self.update(i, j, 0)
return False
def __repr__(self):
st = "--------------------------\n"
for i in self.board:
for j in i:
st += str(j)
st += " "
st += "\n"
return st + "--------------------------"
__str__ = __repr__
def find_empty(board):
for i in range(len(board)):
for j in range(len(board[i])):
if board[i][j] == 0:
return (i, j)
return None
def missing_cube_numbers(i, j, grid):
num_list = grid.cube(i, j)
miss_n = missing_numbers(num_list)
return miss_n
def missing_col_numbers(j, grid):
num_list = grid.column(j)
miss_n = missing_numbers(num_list)
return miss_n
def missing_row_numbers(i, grid):
num_list = grid.board[i]
miss_n = missing_numbers(num_list)
return miss_n
def intersecting_missing(i, j, grid):
row = missing_row_numbers(i, grid)
col = missing_col_numbers(j, grid)
box = missing_cube_numbers(i, j, grid)
common = set(row).intersection(set(col), set(box))
return list(common)
def valid(i, j, num, grid):
if num in intersecting_missing(i, j, grid):
return True
return False
'''
def main():
grid = Grid(9, 9)
print(grid)
grid.solve(grid.board)
print(grid)
main()''' | [
"mguthrie451@gmail.com"
] | mguthrie451@gmail.com |
3091920acde66028b88c52eb008ed4d4557a0162 | 1806d42a4b34d4af586c04293bf993d849be6627 | /2015/Day18/test_solution.py | 3ad0aacd809221023f7505d854605c2357e40ead | [] | no_license | AlexHorch/AoC_Python | 590ea0cee5fd814d48d7e0f378f6799e7c452522 | ce519d059afbacfcb53052f06472ff4078b42c9e | refs/heads/master | 2022-12-07T00:52:41.928077 | 2020-08-26T07:43:46 | 2020-08-26T07:43:46 | 282,877,690 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,635 | py | import unittest
import solution
examples = [""".#.#.#
...##.
#....#
..#...
#.#..#
####..""", """..##..
..##.#
...##.
......
#.....
#.##..""", """..###.
......
..###.
......
.#....
.#....""", """...#..
......
...#..
..##..
......
......""", """......
......
..##..
..##..
......
......"""]
class TestSolution(unittest.TestCase):
def test_parse(self):
self.assertListEqual([[0, 1, 0, 1, 0, 1], [0, 0, 0, 1, 1, 0], [1, 0, 0, 0, 0, 1], [
0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1], [1, 1, 1, 1, 0, 0]], solution.parse_input(examples[0]))
def test_state(self):
f = solution.parse_input(examples[0])
self.assertEqual(0, solution.state(f, 0, 0))
self.assertEqual(0, solution.state(f, -1, 0))
self.assertEqual(0, solution.state(f, 0, -1))
self.assertEqual(0, solution.state(f, 6, 0))
self.assertEqual(0, solution.state(f, 0, 6))
self.assertEqual(1, solution.state(f, 0, 1))
def test_step_1(self):
self.assertListEqual(solution.parse_input(
examples[1]), solution.step(solution.parse_input(examples[0])))
def test_step_2(self):
self.assertListEqual(solution.parse_input(
examples[2]), solution.step(solution.parse_input(examples[1])))
def test_step_3(self):
self.assertListEqual(solution.parse_input(
examples[3]), solution.step(solution.parse_input(examples[2])))
def test_step_4(self):
self.assertListEqual(solution.parse_input(
examples[4]), solution.step(solution.parse_input(examples[3])))
if __name__ == '__main__':
unittest.main()
| [
"alexander@Alexanders-MacBook-Air.local"
] | alexander@Alexanders-MacBook-Air.local |
f78c5a609bc06e6f4e623960f93838db21432089 | eccfdf2975c0b97f744f208701c2019d38e2235a | /0x05-python-exceptions/0-safe_print_list.py | cdc1d239f1700edd1cb8bcf68b444d20529d047f | [] | no_license | valerienierenberg/holbertonschool-higher_level_programming | cefde34fcc678eabbcb84777cd56c1dcdc927a3f | d309df4ebf2b0aa611f9e65208b54719abae1ade | refs/heads/main | 2023-04-20T06:33:55.658256 | 2021-05-13T13:35:29 | 2021-05-13T13:35:29 | 319,346,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 744 | py | #!/usr/bin/python3
def safe_print_list(my_list=[], x=0):
a = 0
for y in range(x):
try:
print("{}".format(my_list[y]), end="")
a += 1
except IndexError:
break
print("")
return(a)
# --gives correct output--
# def safe_print_list(my_list=[], x=0):
# try:
# for x in my_list[:x]:
# print("{}".format(my_list[x - 1]), end="")
# print()
# except IndexError:
# print()
# finally:
# return x
#
# Function that prints x elements of a list
# a = counter variable to keep count correct, will be returned
# for loop iterates through list to index x
# print value of each element
# add to count only if index doesn't exceed length of list
| [
"valerie.nierenberg@gmail.com"
] | valerie.nierenberg@gmail.com |
cfb7d656e58c4a233384f41bdd7246af27c42da1 | ec476ad50f70ea9c1fd796faf92e634efb877af0 | /venv/Lib/site-packages/dash_html_components/Data.py | 572fcdf800596cfa007669e138f837270b87f131 | [] | no_license | Mubeen31/Arduino-Sensor-data-Real-time-temperature-and-humidity-data-in-python-by-plotly-dash | e915cc9cfae5fdba324c57dd7bf6ad2440926ba7 | 2a80d1512198ea4e8e074ed437f35ac61920bb5c | refs/heads/main | 2023-07-13T12:20:13.802937 | 2021-08-20T21:09:15 | 2021-08-20T21:09:15 | 398,258,681 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,027 | py | # AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class Data(Component):
"""A Data component.
Data is a wrapper for the <data> HTML5 element.
For detailed attribute info see:
https://developer.mozilla.org/en-US/docs/Web/HTML/Element/data
Keyword arguments:
- children (a list of or a singular dash component, string or number; optional):
The children of this component.
- id (string; optional):
The ID of this component, used to identify dash components in
callbacks. The ID needs to be unique across all of the components
in an app.
- accessKey (string; optional):
Keyboard shortcut to activate or add focus to the element.
- aria-* (string; optional):
A wildcard aria attribute.
- className (string; optional):
Often used with CSS to style elements with common properties.
- contentEditable (string; optional):
Indicates whether the element's content is editable.
- contextMenu (string; optional):
Defines the ID of a <menu> element which will serve as the
element's context menu.
- data-* (string; optional):
A wildcard data attribute.
- dir (string; optional):
Defines the text direction. Allowed values are ltr (Left-To-Right)
or rtl (Right-To-Left).
- draggable (string; optional):
Defines whether the element can be dragged.
- hidden (a value equal to: 'hidden', 'HIDDEN' | boolean; optional):
Prevents rendering of given element, while keeping child elements,
e.g. script elements, active.
- key (string; optional):
A unique identifier for the component, used to improve performance
by React.js while rendering components See
https://reactjs.org/docs/lists-and-keys.html for more info.
- lang (string; optional):
Defines the language used in the element.
- loading_state (dict; optional):
Object that holds the loading state object coming from
dash-renderer.
`loading_state` is a dict with keys:
- component_name (string; optional):
Holds the name of the component that is loading.
- is_loading (boolean; optional):
Determines if the component is loading or not.
- prop_name (string; optional):
Holds which property is loading.
- n_clicks (number; default 0):
An integer that represents the number of times that this element
has been clicked on.
- n_clicks_timestamp (number; default -1):
An integer that represents the time (in ms since 1970) at which
n_clicks changed. This can be used to tell which button was
changed most recently.
- role (string; optional):
The ARIA role attribute.
- spellCheck (string; optional):
Indicates whether spell checking is allowed for the element.
- style (dict; optional):
Defines CSS styles which will override styles previously set.
- tabIndex (string; optional):
Overrides the browser's default tab order and follows the one
specified instead.
- title (string; optional):
Text to be displayed in a tooltip when hovering over the element.
- value (string; optional):
Defines a default value which will be displayed in the element on
page load."""
@_explicitize_args
def __init__(self, children=None, id=Component.UNDEFINED, n_clicks=Component.UNDEFINED, n_clicks_timestamp=Component.UNDEFINED, key=Component.UNDEFINED, role=Component.UNDEFINED, value=Component.UNDEFINED, accessKey=Component.UNDEFINED, className=Component.UNDEFINED, contentEditable=Component.UNDEFINED, contextMenu=Component.UNDEFINED, dir=Component.UNDEFINED, draggable=Component.UNDEFINED, hidden=Component.UNDEFINED, lang=Component.UNDEFINED, spellCheck=Component.UNDEFINED, style=Component.UNDEFINED, tabIndex=Component.UNDEFINED, title=Component.UNDEFINED, loading_state=Component.UNDEFINED, **kwargs):
self._prop_names = ['children', 'id', 'accessKey', 'aria-*', 'className', 'contentEditable', 'contextMenu', 'data-*', 'dir', 'draggable', 'hidden', 'key', 'lang', 'loading_state', 'n_clicks', 'n_clicks_timestamp', 'role', 'spellCheck', 'style', 'tabIndex', 'title', 'value']
self._type = 'Data'
self._namespace = 'dash_html_components'
self._valid_wildcard_attributes = ['data-', 'aria-']
self.available_properties = ['children', 'id', 'accessKey', 'aria-*', 'className', 'contentEditable', 'contextMenu', 'data-*', 'dir', 'draggable', 'hidden', 'key', 'lang', 'loading_state', 'n_clicks', 'n_clicks_timestamp', 'role', 'spellCheck', 'style', 'tabIndex', 'title', 'value']
self.available_wildcard_properties = ['data-', 'aria-']
_explicit_args = kwargs.pop('_explicit_args')
_locals = locals()
_locals.update(kwargs) # For wildcard attrs
args = {k: _locals[k] for k in _explicit_args if k != 'children'}
for k in []:
if k not in args:
raise TypeError(
'Required argument `' + k + '` was not specified.')
super(Data, self).__init__(children=children, **args)
| [
"qs6272527@gmail.com"
] | qs6272527@gmail.com |
1e09a1afad05e40415362ebcf4ab5e7d018788f5 | 1388c8381e7b179887a53db15b2882a4e51b820e | /paypal/migrations/0006_auto_20150721_1921.py | d597177d5c80f23541162dd9e476c3af94c9f2b6 | [] | no_license | laurentenhoor/samsamsam | d0d2d688ecc682bb885cdc398bfda0ddab97cbd4 | 923647186ee2a074ec186b4ff46fb5ca7ff53d32 | refs/heads/master | 2023-01-13T10:33:28.666076 | 2015-08-28T08:57:51 | 2015-08-28T08:57:51 | 154,669,877 | 0 | 0 | null | 2022-12-26T20:15:27 | 2018-10-25T12:48:39 | Python | UTF-8 | Python | false | false | 373 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('paypal', '0005_contact_last_used'),
]
operations = [
migrations.AlterModelOptions(
name='contact',
options={'ordering': ['last_used']},
),
]
| [
"laurentenhoor@gmail.com"
] | laurentenhoor@gmail.com |
6b89749fe8823ae962abbaa45373e75891ef3212 | 15e6385746ccf4b8eb6c6e302aca236021bb8781 | /LintcodePartII/li405_submatrixSum.py | 443777a2c60f7562a7b839a401d41945fa35145d | [] | no_license | akb46mayu/Data-Structures-and-Algorithms | 11c4bbddc9b4d286e1aeaa9481eb6a620cd54746 | de98494e14fff3e2a468da681c48d60b4d1445a1 | refs/heads/master | 2021-01-12T09:51:32.618362 | 2018-05-16T16:37:18 | 2018-05-16T16:37:18 | 76,279,268 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,307 | py | """
Given an integer matrix, find a submatrix where the sum of numbers is zero.
Your code should return the coordinate of the left-up and right-down number.
Have you met this question in a real interview? Yes
Example
Given matrix
[
[1 ,5 ,7],
[3 ,7 ,-8],
[4 ,-8 ,9],
]
return [(1,1), (2,2)]
"""
class Solution:
# @param {int[][]} matrix an integer matrix
# @return {int[][]} the coordinate of the left-up and right-down number
def submatrixSum(self, matrix):
# Write your code here
if not matrix:
return [[0,0], [0,0]]
m, n = len(matrix), len(matrix[0])
psum = [[0]*n for _ in range(m)]
for i in range(m):
for j in range(n):
if i == 0:
psum[i][j] = matrix[i][j]
else:
psum[i][j] = psum[i-1][j] + matrix[i][j]
for lx in range(m):
for rx in range(lx, m):
dict = {0:-1}
sum0 = 0
for j in range(n):
sumcur = psum[rx][j] - psum[lx-1][j] if lx >= 1 else psum[rx][j]
sum0 += sumcur
if sum0 in dict:
return [[lx,dict[sum0]+1],[rx,j]]
dict[sum0] = j
return [[0,0], [0,0]]
| [
"noreply@github.com"
] | noreply@github.com |
144ee5c0f1f859e617b1d48c45f30ee8867c70bf | b5cca4f03ee8ea511235adfbe3e15e0c9d0cfcf0 | /solarroof/settings.py | 183d6963bed4ef7e3d70055fcbb6d4e19d32a8bb | [
"MIT"
] | permissive | saksham1991999/Solar-Roof-Potential | 29977aa6e7a37bd3f011cd5301a90cba5a1ad63b | cc0b9b6af5abbe005aaeaef5ffdd7307a971fbbc | refs/heads/main | 2023-04-07T00:16:04.313551 | 2021-04-05T20:46:27 | 2021-04-05T20:46:27 | 352,153,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,316 | py | """
Django settings for solarroof project.
Generated by 'django-admin startproject' using Django 3.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from pathlib import Path
import os
import django_heroku
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'p-woi+rx$mwa&$g13u!jlekrmqbp&*zf4kqf9fe8w-=h0@xtkp'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'rest_framework',
'drf_yasg',
'core',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'solarroof.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'solarroof.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.1/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': BASE_DIR / 'db.sqlite3',
}
}
# Password validation
# https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.1/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.1/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = [os.path.join(BASE_DIR, 'static')]
MEDIA_URL = '/media/'
MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
django_heroku.settings(locals()) | [
"181210045@nitdelhi.ac.in"
] | 181210045@nitdelhi.ac.in |
36b814ddadae57354bfa080d2e733b36281f8b2d | 34d3c58afa95fcb4cee7f0da1b01466fc291e1bb | /src/Account.py | 2820ebb0d9125b1ae74e8583c67f91d7c235aa9e | [] | no_license | leolo0626/portfolio_bactest | aa769a82ff7639c0dd1a2099304f52b4ae96dbb1 | 5a27f3b535f45cedb66d2ba6600372b5fd3d7295 | refs/heads/main | 2023-07-25T22:27:12.843882 | 2021-09-11T14:50:26 | 2021-09-11T14:50:26 | 392,228,758 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 533 | py | class Account :
def __init__(self):
self.initial_capital = 0
self.cash = 0
self.net_asset_value = 0
def add_capital(self, cash_amount):
self.initial_capital = self.initial_capital + cash_amount
self.cash = self.cash + cash_amount
self.net_asset_value = self.net_asset_value + cash_amount
def increase_account_value(self, amount):
self.cash = self.cash + amount
def decrease_account_value(self, amount):
self.cash = self.cash - amount | [
"leolo0626@gmail.com"
] | leolo0626@gmail.com |
692a9e6559e097c15108dc25e36eb37ad7a4e73f | 5b7e7457c0214280d28065d14aee004d8b0a403e | /src/libxslt/python/tests/extfunc.py | 6fd908ea5ebaba6be062400aa48b3e1c1849ca90 | [
"LicenseRef-scancode-x11-xconsortium-veillard",
"X11",
"MIT"
] | permissive | webkitdotnet/WinCairoRequirements | 0e567e98d45415e389a80e5477d9083e43409036 | 45cd0bdac280e58792428bc41f0c08ad93f4cf92 | refs/heads/master | 2021-01-16T22:46:15.321638 | 2013-02-17T21:27:12 | 2013-02-17T21:27:12 | 8,255,164 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,677 | py | #!/usr/bin/python -u
import sys
import string
import libxml2
# Memory debug specific
libxml2.debugMemory(1)
import libxslt
nodeName = None
def f(ctx, str):
global nodeName
#
# Small check to verify the context is correcly accessed
#
try:
pctxt = libxslt.xpathParserContext(_obj=ctx)
ctxt = pctxt.context()
tctxt = ctxt.transformContext()
nodeName = tctxt.insertNode().name
except:
pass
return string.upper(str)
libxslt.registerExtModuleFunction("foo", "http://example.com/foo", f)
styledoc = libxml2.parseDoc("""
<xsl:stylesheet version='1.0'
xmlns:xsl='http://www.w3.org/1999/XSL/Transform'
xmlns:foo='http://example.com/foo'
exclude-result-prefixes='foo'>
<xsl:param name='bar'>failure</xsl:param>
<xsl:template match='/'>
<article><xsl:value-of select='foo:foo($bar)'/></article>
</xsl:template>
</xsl:stylesheet>
""")
style = libxslt.parseStylesheetDoc(styledoc)
doc = libxml2.parseDoc("<doc/>")
result = style.applyStylesheet(doc, { "bar": "'success'" })
style.freeStylesheet()
doc.freeDoc()
root = result.children
if root.name != "article":
print "Unexpected root node name"
sys.exit(1)
if root.content != "SUCCESS":
print "Unexpected root node content, extension function failed"
sys.exit(1)
if nodeName != 'article':
print "The function callback failed to access its context"
sys.exit(1)
result.freeDoc()
# Memory debug specific
libxslt.cleanup()
if libxml2.debugMemory(1) == 0:
print "OK"
else:
print "Memory leak %d bytes" % (libxml2.debugMemory(1))
libxml2.dumpMemory()
| [
"bfulgham@gmail.com"
] | bfulgham@gmail.com |
dd749bd41c4159bf4470b8fa036cb104ddad6be2 | 18f3c47b55635128a8db45dda340df2c7393468d | /map/models.py | 2972b9e4d880c50ee0080cb42e9a3e9449536476 | [] | no_license | rheehot/Zigbang | c62ec77f7f8352f09622f54a377a4fb69f2a4417 | b120559767a0aa286dc3a632a193bf25a0b90aee | refs/heads/master | 2022-11-27T14:26:33.413310 | 2020-08-06T07:45:59 | 2020-08-06T07:45:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,031 | py | from django.db import models
class City(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'cities'
class District(models.Model):
name = models.CharField(max_length = 50)
city = models.ForeignKey('City', on_delete = models.SET_NULL, null = True)
class Meta:
db_table = 'districts'
class Province(models.Model):
name = models.CharField(max_length = 50)
district = models.ForeignKey('District', on_delete = models.SET_NULL, null = True)
class Meta:
db_table = 'provinces'
class Subway(models.Model):
subway_code = models.IntegerField()
name = models.CharField(max_length = 50)
longitude = models.DecimalField(max_digits = 18, decimal_places = 15)
latitude = models.DecimalField(max_digits = 18, decimal_places = 15)
local = models.CharField(max_length = 50, null = True, blank = True)
line = models.ManyToManyField('Line', through = 'SubwayLine')
class Meta:
db_table = 'subways'
class Line(models.Model):
name = models.CharField(max_length = 50)
color = models.CharField(max_length = 50)
class Meta:
db_table = 'line'
class SubwayLine(models.Model):
subway = models.ForeignKey('Subway', on_delete = models.SET_NULL, null = True)
line = models.ForeignKey('Line', on_delete = models.SET_NULL, null = True)
class Meta:
db_table = 'subways_line'
class RoomSubway(models.Model):
room = models.ForeignKey('Room', on_delete = models.SET_NULL, null = True)
subway = models.ForeignKey('Subway', on_delete = models.SET_NULL, null = True)
class Meta:
db_table = 'rooms_subways'
class School(models.Model):
school_gender = models.ForeignKey('SchoolGender', on_delete = models.SET_NULL, null = True)
school_type = models.ForeignKey('SchoolType', on_delete = models.SET_NULL, null = True)
school_category = models.ForeignKey('SchoolCategory', on_delete = models.SET_NULL, null = True)
address = models.CharField(max_length = 500)
district = models.ForeignKey('District', on_delete = models.SET_NULL, null = True)
road_address = models.CharField(max_length = 500)
longitude = models.DecimalField(max_digits = 18, decimal_places = 15)
latitude = models.DecimalField(max_digits = 18, decimal_places = 15)
foundation_date = models.CharField(max_length = 50)
name = models.CharField(max_length = 50)
school_establishment_type = models.ForeignKey(
'SchoolEstablishmentType', on_delete = models.SET_NULL, null = True)
school_phone_number = models.CharField(max_length = 50)
class Meta:
db_table = 'schools'
class SchoolEstablishmentType(models.Model):
name = models.CharField(max_length = 20)
class Meta:
db_table = 'school_establishment_types'
class SchoolGender(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'school_genders'
class SchoolType(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'school_types'
class SchoolCategory(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'school_categories'
class ComplexType(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'complex_types'
class Complex(models.Model):
complex_type = models.ForeignKey('ComplexType', on_delete = models.SET_NULL, null = True)
name = models.CharField(max_length = 50)
complex_number = models.IntegerField()
longitude = models.DecimalField(max_digits = 18, decimal_places = 15)
latitude = models.DecimalField(max_digits = 18, decimal_places = 15)
province = models.ForeignKey('Province', on_delete = models.SET_NULL, null = True)
household = models.IntegerField(default = 1)
builddate = models.CharField(max_length = 50)
complex_image_thumbnail = models.URLField(max_length = 2000, null = True, blank = True)
class Meta:
db_table = 'complexes'
class Room(models.Model):
building_number = models.CharField(max_length = 50, null = True, blank = True)
description = models.CharField(max_length = 100, null = True, blank = True)
detail_description = models.CharField(max_length = 3000, null = True, blank = True)
post_date = models.CharField(max_length = 50, null = True, blank = True)
is_recommended = models.BooleanField(default = 0)
room_type = models.ForeignKey('RoomType', on_delete = models.SET_NULL, null = True)
sub_room_type = models.ForeignKey('SubRoomType', on_delete = models.SET_NULL, null = True)
sale_registration_number = models.IntegerField()
supply_area_square_meter = models.DecimalField(max_digits = 10, decimal_places = 2)
exclusive_area_square_meter = models.DecimalField(max_digits = 10, decimal_places = 2)
maintenance_fee = models.DecimalField(max_digits = 5, decimal_places = 2, null = True, blank = True)
is_parking_lot = models.BooleanField(default = 0)
is_elevator = models.BooleanField(default = 0)
floor = models.CharField(max_length = 50)
entire_floor = models.CharField(max_length = 50)
moving_in_date_type = models.CharField(max_length = 100, null = True, blank = True)
agent_comment = models.CharField(max_length = 3000, null = True, blank = True)
agency = models.ForeignKey('Agency', on_delete = models.SET_NULL, null = True)
complex = models.ForeignKey('Complex', on_delete = models.CASCADE)
subway = models.ManyToManyField('Subway', through = 'RoomSubway')
trade_type = models.ManyToManyField('TradeType', through = 'RoomTradeType')
maintenance_option = models.ManyToManyField('MaintenanceOption', through = 'RoomMaintenanceOption')
room_option = models.ManyToManyField('RoomOption', through = 'RoomRoomOption')
room_image_thumbnail = models.URLField(max_length = 2000, null = True, blank = True)
class Meta:
db_table = 'rooms'
class TradeType(models.Model):
name = models.CharField(max_length = 20)
class Meta:
db_table = 'trade_types'
class RoomTradeType(models.Model):
room = models.ForeignKey('Room', on_delete = models.SET_NULL, null = True)
trade_type = models.ForeignKey('TradeType', on_delete = models.SET_NULL, null = True)
deposit = models.DecimalField(max_digits = 20, decimal_places = 2)
monthly_rent = models.DecimalField(max_digits = 20, decimal_places = 2, null = True, blank = True)
class Meta:
db_table = 'rooms_trade_types'
class MaintenanceOption(models.Model):
name = models.CharField(max_length = 50)
image_url = models.URLField(max_length = 2000)
class Meta:
db_table = 'maintenance_options'
class RoomMaintenanceOption(models.Model):
room = models.ForeignKey('Room', on_delete = models.SET_NULL, null = True)
maintenance_option = models.ForeignKey('MaintenanceOption', on_delete = models.SET_NULL, null = True)
class Meta:
db_table = 'rooms_maintenance_options'
class RoomImage(models.Model):
room = models.ForeignKey('Room', on_delete = models.SET_NULL, null = True)
image_url = models.URLField(max_length = 2000)
class Meta:
db_table = 'room_images'
class RoomType(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'room_types'
class SubRoomType(models.Model):
name = models.CharField(max_length = 50)
class Meta:
db_table = 'sub_room_types'
class RoomOption(models.Model):
name = models.CharField(max_length = 50)
image_url = models.URLField(max_length = 2000)
class Meta:
db_table = 'room_options'
class RoomRoomOption(models.Model):
room_option = models.ForeignKey('RoomOption', on_delete = models.SET_NULL, null = True)
room = models.ForeignKey('Room', on_delete = models.SET_NULL, null = True)
class Meta:
db_table = 'rooms_room_options'
class Agency(models.Model):
agency_number = models.IntegerField()
name = models.CharField(max_length = 50)
representative = models.CharField(max_length = 50)
image_url = models.URLField(max_length = 2000, null = True, blank = True)
phone_number = models.CharField(max_length = 50)
address = models.CharField(max_length = 500)
class Meta:
db_table = 'agencies'
| [
"nogwang-o@nogwang-oui-MacBookPro.local"
] | nogwang-o@nogwang-oui-MacBookPro.local |
9f62583507c99cb0c1fdc4fbddd3bd3f193c5132 | 0a2190bdd257d8b4a9f879fbc1474337c02da32d | /devel/lib/python2.7/dist-packages/rococo_navigation/msg/_TurnActionGoal.py | 53a4e04cdc144fdf63ddbb8ece1ebf8b0887154a | [] | no_license | bitCluod/AkiraRobotService | af4ed667590f33fea11488445787d793e6aaf389 | accc6acf0480818306462dc74e6b7adf11cfa220 | refs/heads/master | 2023-04-18T08:28:54.632006 | 2021-05-01T02:35:18 | 2021-05-01T02:35:18 | 363,306,688 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,957 | py | # This Python file uses the following encoding: utf-8
"""autogenerated by genpy from rococo_navigation/TurnActionGoal.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import actionlib_msgs.msg
import genpy
import rococo_navigation.msg
import std_msgs.msg
class TurnActionGoal(genpy.Message):
_md5sum = "f1325916007ff88ca14243f2c70c7ccd"
_type = "rococo_navigation/TurnActionGoal"
_has_header = True # flag to mark the presence of a Header object
_full_text = """# ====== DO NOT MODIFY! AUTOGENERATED FROM AN ACTION DEFINITION ======
Header header
actionlib_msgs/GoalID goal_id
TurnGoal goal
================================================================================
MSG: std_msgs/Header
# Standard metadata for higher-level stamped data types.
# This is generally used to communicate timestamped data
# in a particular coordinate frame.
#
# sequence ID: consecutively increasing ID
uint32 seq
#Two-integer timestamp that is expressed as:
# * stamp.sec: seconds (stamp_secs) since epoch (in Python the variable is called 'secs')
# * stamp.nsec: nanoseconds since stamp_secs (in Python the variable is called 'nsecs')
# time-handling sugar is provided by the client library
time stamp
#Frame this data is associated with
# 0: no frame
# 1: global frame
string frame_id
================================================================================
MSG: actionlib_msgs/GoalID
# The stamp should store the time at which this goal was requested.
# It is used by an action server when it tries to preempt all
# goals that were requested before a certain time
time stamp
# The id provides a way to associate feedback and
# result message with specific goal requests. The id
# specified must be unique.
string id
================================================================================
MSG: rococo_navigation/TurnGoal
# ====== DO NOT MODIFY! AUTOGENERATED FROM AN ACTION DEFINITION ======
# Goal
# target_angle [DEG]
float32 target_angle
# flag ABS/REL
string absolute_relative_flag
# max angular velocity [DEG/s]
float32 max_ang_vel
"""
__slots__ = ['header','goal_id','goal']
_slot_types = ['std_msgs/Header','actionlib_msgs/GoalID','rococo_navigation/TurnGoal']
def __init__(self, *args, **kwds):
"""
Constructor. Any message fields that are implicitly/explicitly
set to None will be assigned a default value. The recommend
use is keyword arguments as this is more robust to future message
changes. You cannot mix in-order arguments and keyword arguments.
The available fields are:
header,goal_id,goal
:param args: complete set of field values, in .msg order
:param kwds: use keyword arguments corresponding to message field names
to set specific fields.
"""
if args or kwds:
super(TurnActionGoal, self).__init__(*args, **kwds)
# message fields cannot be None, assign default values for those that are
if self.header is None:
self.header = std_msgs.msg.Header()
if self.goal_id is None:
self.goal_id = actionlib_msgs.msg.GoalID()
if self.goal is None:
self.goal = rococo_navigation.msg.TurnGoal()
else:
self.header = std_msgs.msg.Header()
self.goal_id = actionlib_msgs.msg.GoalID()
self.goal = rococo_navigation.msg.TurnGoal()
def _get_types(self):
"""
internal API method
"""
return self._slot_types
def serialize(self, buff):
"""
serialize message into buffer
:param buff: buffer, ``StringIO``
"""
try:
_x = self
buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))
_x = self.header.frame_id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
_x = self
buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))
_x = self.goal_id.id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
_x = self.goal.target_angle
buff.write(_get_struct_f().pack(_x))
_x = self.goal.absolute_relative_flag
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
_x = self.goal.max_ang_vel
buff.write(_get_struct_f().pack(_x))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self)))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self)))))
def deserialize(self, str):
"""
unpack serialized message in str into this message instance
:param str: byte array of serialized message, ``str``
"""
codecs.lookup_error("rosmsg").msg_type = self._type
try:
if self.header is None:
self.header = std_msgs.msg.Header()
if self.goal_id is None:
self.goal_id = actionlib_msgs.msg.GoalID()
if self.goal is None:
self.goal = rococo_navigation.msg.TurnGoal()
end = 0
_x = self
start = end
end += 12
(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')
else:
self.header.frame_id = str[start:end]
_x = self
start = end
end += 8
(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')
else:
self.goal_id.id = str[start:end]
start = end
end += 4
(self.goal.target_angle,) = _get_struct_f().unpack(str[start:end])
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
self.goal.absolute_relative_flag = str[start:end].decode('utf-8', 'rosmsg')
else:
self.goal.absolute_relative_flag = str[start:end]
start = end
end += 4
(self.goal.max_ang_vel,) = _get_struct_f().unpack(str[start:end])
return self
except struct.error as e:
raise genpy.DeserializationError(e) # most likely buffer underfill
def serialize_numpy(self, buff, numpy):
"""
serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module
"""
try:
_x = self
buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))
_x = self.header.frame_id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
_x = self
buff.write(_get_struct_2I().pack(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs))
_x = self.goal_id.id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
_x = self.goal.target_angle
buff.write(_get_struct_f().pack(_x))
_x = self.goal.absolute_relative_flag
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
buff.write(struct.Struct('<I%ss'%length).pack(length, _x))
_x = self.goal.max_ang_vel
buff.write(_get_struct_f().pack(_x))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self)))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self)))))
def deserialize_numpy(self, str, numpy):
"""
unpack serialized message in str into this message instance using numpy for array types
:param str: byte array of serialized message, ``str``
:param numpy: numpy python module
"""
codecs.lookup_error("rosmsg").msg_type = self._type
try:
if self.header is None:
self.header = std_msgs.msg.Header()
if self.goal_id is None:
self.goal_id = actionlib_msgs.msg.GoalID()
if self.goal is None:
self.goal = rococo_navigation.msg.TurnGoal()
end = 0
_x = self
start = end
end += 12
(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end])
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg')
else:
self.header.frame_id = str[start:end]
_x = self
start = end
end += 8
(_x.goal_id.stamp.secs, _x.goal_id.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end])
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
self.goal_id.id = str[start:end].decode('utf-8', 'rosmsg')
else:
self.goal_id.id = str[start:end]
start = end
end += 4
(self.goal.target_angle,) = _get_struct_f().unpack(str[start:end])
start = end
end += 4
(length,) = _struct_I.unpack(str[start:end])
start = end
end += length
if python3:
self.goal.absolute_relative_flag = str[start:end].decode('utf-8', 'rosmsg')
else:
self.goal.absolute_relative_flag = str[start:end]
start = end
end += 4
(self.goal.max_ang_vel,) = _get_struct_f().unpack(str[start:end])
return self
except struct.error as e:
raise genpy.DeserializationError(e) # most likely buffer underfill
_struct_I = genpy.struct_I
def _get_struct_I():
global _struct_I
return _struct_I
_struct_2I = None
def _get_struct_2I():
global _struct_2I
if _struct_2I is None:
_struct_2I = struct.Struct("<2I")
return _struct_2I
_struct_3I = None
def _get_struct_3I():
global _struct_3I
if _struct_3I is None:
_struct_3I = struct.Struct("<3I")
return _struct_3I
_struct_f = None
def _get_struct_f():
global _struct_f
if _struct_f is None:
_struct_f = struct.Struct("<f")
return _struct_f
| [
"scheneider12.12@gmail.com"
] | scheneider12.12@gmail.com |
1a573cda6c2a4d96f172917b8c70da2ab8f0288e | c2d5a7bf3d5f6bcf07b8293b1bf7eff838a5dcbe | /app/migrations/0002_central_ciudad_cluster_ce_estado.py | 36f568fee9bbf653e047ec4ce65db547b929f3b8 | [] | no_license | leocordero/cuenta | e0a881a6cb01af905c6fd2395dff7b941cf0f9c5 | 907776df30408f00a413b0a7ed1f9ef45b71e008 | refs/heads/master | 2023-06-30T08:43:42.626282 | 2021-07-30T21:21:31 | 2021-07-30T21:21:31 | 390,870,143 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,878 | py | # Generated by Django 3.2.5 on 2021-07-13 03:36
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('app', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='cluster_ce',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(max_length=30)),
],
),
migrations.CreateModel(
name='estado',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(max_length=30)),
('divisional', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='app.divisional')),
],
),
migrations.CreateModel(
name='ciudad',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(max_length=30)),
('estado', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='app.estado')),
],
),
migrations.CreateModel(
name='central',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(max_length=30)),
('direccion', models.TextField(blank=True, null=True)),
('localizacion', models.TextField(blank=True, null=True)),
('ciudad', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='app.ciudad')),
],
),
]
| [
"lchaconz@cisco.com"
] | lchaconz@cisco.com |
963bd6d3840d499bef787d38ba22b3d8a5291ba5 | 5207b5bc504bd4253da6e78a4e361db61c5b1e70 | /game/services/game/event/draw.py | 132c8665400fd62d291a91a130a97b8131ad1db5 | [] | no_license | luiz290788/ajani | 442853cc7c6865ae13cbbf7aee25dae9f798c3de | fdfa112893c4808508376ea308bfc7337169240a | refs/heads/master | 2021-01-01T20:34:47.968248 | 2015-06-14T20:54:49 | 2015-06-14T20:54:49 | 34,073,394 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 953 | py | from google.appengine.ext import ndb
from services.game import library, response_util
from services.model import Hand, Library
def load(incoming_event, player_id, game_key):
hand_key = ndb.Key(Hand, player_id, parent=game_key)
library_key = ndb.Key(Library, player_id, parent=game_key)
return [hand_key, library_key]
def process(incoming_event, player_id, game, hand_obj, library_obj):
count = incoming_event['count'] if incoming_event['count'] is not None else 0
hand_obj = library.draw(library_obj, hand_obj, count)
to_put = [hand_obj, library_obj]
hand_response = {'cards': [card.to_dict() for card in hand_obj.cards]}
library_response = response_util.library_response(library_obj)
response = {'hand': hand_response, 'library': library_response}
notification = {'opponent_hand': {'cards': len(hand_obj.cards)},
'opponent_library': library_response}
return (response, notification, to_put)
| [
"luiz290788@gmail.com"
] | luiz290788@gmail.com |
185c7b7f95c8487e2f85422f38c93095e8bd3438 | 3f36a8e71ea13a135467ea64367d6e3358333f74 | /movie_details.py | b88daf458d68088e861cd4d0c53e98e1ee709f51 | [
"MIT"
] | permissive | gorpo/Exemplos-Python | 4257873af5a23b79d51cc60e8ea84185b7e299c4 | 2cc11e0604d83c4f0a46645ceef0b209e467e6e6 | refs/heads/master | 2023-03-09T00:24:27.404626 | 2020-08-24T04:49:59 | 2020-08-24T04:49:59 | 264,974,378 | 4 | 4 | MIT | 2021-02-26T02:53:36 | 2020-05-18T15:02:56 | Python | UTF-8 | Python | false | false | 1,600 | py | import urllib.request
import mechanize
from bs4 import BeautifulSoup
# Create a Browser
browser = mechanize.Browser()
# Disable loading robots.txt
browser.set_handle_robots(False)
browser.addheaders = [('User-agent',
'Mozilla/4.0 (compatible; MSIE 5.0; Windows 98;)')]
movie_title = input("Enter movie title: ")
movie_types = ('feature', 'tv_movie', 'tv_series', 'tv_episode', 'tv_special',
'tv_miniseries', 'documentary', 'video_game', 'short', 'video', 'tv_short')
# Navigate
browser.open('http://www.imdb.com/search/title')
# Choose a form
browser.select_form(nr=1)
browser['title'] = movie_title
# Check all the boxes of movie types
for m_type in movie_types:
browser.find_control(type='checkbox', nr=0).get(m_type).selected = True
# Submit
fd = browser.submit()
soup = BeautifulSoup(fd.read(), 'html5lib')
# Updated from td tag to h3 tag
for div in soup.findAll('h3', {'class': 'lister-item-header'}, limit=1):
a = div.findAll('a')[0]
hht = 'http://www.imdb.com' + a.attrs['href']
print(hht)
page = urllib.request.urlopen(hht)
soup2 = BeautifulSoup(page.read(), 'html.parser')
find = soup2.find
print("Title: " + find(itemprop='name').get_text().strip())
print("Duration: " + find(itemprop='duration').get_text().strip())
print("Director: " + find(itemprop='director').get_text().strip())
print("Genre: " + find(itemprop='genre').get_text().strip())
print("IMDB rating: " + find(itemprop='ratingValue').get_text().strip())
print("Summary: " + find(itemprop='description').get_text().strip())
| [
"noreply@github.com"
] | noreply@github.com |
bc6ba20afd61f6bf37f412a650eae3cd5cd072c4 | 6596e7eaa8abdc7cd715aecf1b6a9c4b532d042c | /ciftlik.yem.problemi.py | 6d1fb1ae14e21f63ae28f1f0df91cc9480827831 | [] | no_license | hasanHIDIROGLU/pythonexamples | 5fef51032f2b1f3ca4dd53becd39bf8b937e2078 | 12e23ade5f8186a84be9eda8afafb6cf89bd679f | refs/heads/master | 2021-07-11T14:02:37.662536 | 2021-07-06T07:16:08 | 2021-07-06T07:16:08 | 166,395,043 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,387 | py | # S.3. Bir çiftlikte bulunan koyunların beslenmesi şu şekilde yapılmaktadır. Öncelikle besleme makinesine belirlenen bir miktarda
# yem doldurulmaktadır. Daha sonra görevli personel koyunlara verilecek günlük üst limit yem miktarını uygulamaya girmektedir.
# Uygulama 1,3,5 gibi tek günlerde üst limitin yarısı, çift günlerde ise üst limitin dörtte biri kadar yem vermektedir. Sizden istenen
# belirlenen yem miktarına ve üst limit değerlerine göre günlük yem miktarlarını ve yemin kaç gün yeteceğini hesaplayan
# uygulama geliştirmenizdir. Aşağıda uygulamaya ilişkin örnek çıktılar verilmiştir. Not: Son gün kalan miktar üst limitin
# yarısından veya dörtte birinden az ise bu durumda kalan yemin tamamı verilmelidir.
yem_miktari = int(input("yem miktarını giriniz:"))
ust_limit = int(input("üst limit miktarını giriniz:"))
tek_gun_yem_miktari = ust_limit // 2
cift_gun_yem_miktari = ust_limit // 4
gun_sayisi = 1
while yem_miktari > 0:
if yem_miktari > tek_gun_yem_miktari:
print("{0}. gün verilen yem : {1}".format(gun_sayisi,tek_gun_yem_miktari))
gun_sayisi += 1
yem_miktari -= tek_gun_yem_miktari
tek_gun_yem_miktari,cift_gun_yem_miktari=cift_gun_yem_miktari,tek_gun_yem_miktari
else:
print("{0}. gün verilen miktar : {1}".format(gun_sayisi,yem_miktari))
yem_miktari=0
| [
"noreply@github.com"
] | noreply@github.com |
d3c5e8c30ac270fd164e79ae288a7f1a7b2aeb2d | 49e145c536964b1dc72946a19560741c492482d7 | /TTA06p2.py | ef4402c2f5c9b9af9a54875e0b34a4b648a921f7 | [] | no_license | mueller14003/CS241 | 502a1cb8f7706ff22741896ea4d612df96515f13 | 37e539b59e47f4b522c624e5e14e6675eb5be2f3 | refs/heads/master | 2021-09-20T01:14:58.650239 | 2018-08-02T06:26:34 | 2018-08-02T06:26:34 | 113,709,350 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,132 | py | """
I think that this approach is better because a circle is not a type of point, but rather,
it has a location, or point. Thus, it should not inherit from Point, but rather, it should create
a class variable that is a point type. This makes much more sense, as a circle will have a point
attribute, but is not a type of point.
"""
class Point:
def __init__(self):
self.x = 0
self.y = 0
def prompt_for_point(self):
self.x = int(input("Enter x: "))
self.y = int(input("Enter y: "))
def display(self):
print("Center:\n({}, {})".format(self.x, self.y))
class Circle:
def __init__(self):
self.point = Point()
self.radius = 0
def prompt_for_circle(self):
self.point.prompt_for_point()
self.radius = int(input("Enter radius: "))
def display(self):
self.point.display()
print("Radius: {}".format(self.radius))
def main():
point = Point()
point.prompt_for_point()
point.display()
print()
circle = Circle()
circle.prompt_for_circle()
circle.display()
if __name__ == "__main__":
main() | [
"34406644+mueller14003@users.noreply.github.com"
] | 34406644+mueller14003@users.noreply.github.com |
58bcf3d3d7a9e42fa01ca8b29a710f6e81cfde90 | b086a1caa4e3457c1faa0889d7a7291e653a0248 | /tests/test_decontaminate.py | ed588a42754b1f20fbaafdd1f11bfdc4e4ef65af | [
"MIT"
] | permissive | hover2pi/specialsoss | a29381bbfcf7cc15a82e0aba8e607b99192dc48f | 6afde9fbd83bb33afa9e606e681c330b64e64aa2 | refs/heads/master | 2023-01-12T19:22:03.636104 | 2022-11-30T18:51:16 | 2022-11-30T18:51:16 | 152,112,781 | 1 | 1 | MIT | 2022-12-26T20:46:35 | 2018-10-08T16:36:32 | Jupyter Notebook | UTF-8 | Python | false | false | 500 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `decontaminate` module."""
import unittest
from pkg_resources import resource_filename
from specialsoss import decontaminate
class TestDecontaminate(unittest.TestCase):
"""Test functions in decontaminate.py"""
def setUp(self):
"""Test instance setup"""
# Get files for testing
self.frame = np.ones((256, 2048))
self.tso3d = np.ones((4, 256, 2048))
self.tso4d = np.ones((2, 2, 256, 2048))
| [
"jfilippazzo@stsci.edu"
] | jfilippazzo@stsci.edu |
a95634a6ae723a37422e4449df51ccd9fdcd283a | 1fa3016c1b67178910b477fd5885cc0fff17e923 | /Learning Python/Bank Account.py | 19e95929801694bca67dd4cd2e1d8495f5cf85f4 | [] | no_license | Charnub/python-code | 9f1c952075ed725b8561a2115acb30872ba0b797 | 3e35510756e8635e26fc3b71396a0c8856385b69 | refs/heads/master | 2021-04-15T09:26:34.691921 | 2018-03-22T18:09:51 | 2018-03-22T18:09:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 994 | py | class Account:
def __init__(self):
self.savings = 100
def __init__(self):
self.withdraw = 0
account1 = Account()
account1.savings = 400
account2 = Account()
account2.savings = 50
account3 = Account()
account3.savings = 1000
def withdraw(self, withdraw):
withdraw = input("How much would you like to withdraw?")
self.savings -= withdraw
if self.savings < 0:
print("Cannot withdraw that amount!")
def deposit(self, deposit):
deposit = input
selectAccount = input("What account would you like to access?")
if selectAccount == "account1":
print("Account 1 Selected")
print("£" + (str(account1.savings)) + " Available to withdraw")
elif selectAccount == "account2":
print("Account 2 Selected")
print("£" + (str(account2.savings)) + " Available to withdraw")
elif selectAccount == "account3":
print("Account 3 Selected")
print("£" + (str(account3.savings)) + " Available to withdraw")
| [
"noreply@github.com"
] | noreply@github.com |
08bb23fdc4d27bf24fc8acba539dc31a6c16a40d | 0412893529999de784ab9cb914f385ba788a3684 | /logicmonitor_sdk/models/service_alert.py | f140a8c85cf85576b2c428c2b3678d325ef7a839 | [
"Apache-2.0"
] | permissive | JeremyTangCD/lm-sdk-python | 0326bf034c16b022b760600dc18fe7aaad42fa26 | 2a15e055e5a3f72d2f2e4fb43bdbed203c5a9983 | refs/heads/master | 2020-04-15T15:39:59.276224 | 2019-01-09T09:55:36 | 2019-01-09T09:55:36 | 164,803,314 | 0 | 0 | Apache-2.0 | 2019-01-09T09:58:55 | 2019-01-09T06:33:40 | Python | UTF-8 | Python | false | false | 14,296 | py | # coding: utf-8
"""
LogicMonitor REST API
LogicMonitor is a SaaS-based performance monitoring platform that provides full visibility into complex, hybrid infrastructures, offering granular performance monitoring and actionable data and insights. logicmonitor_sdk enables you to manage your LogicMonitor account programmatically. # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from logicmonitor_sdk.models.widget import Widget # noqa: F401,E501
class ServiceAlert(Widget):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'last_updated_by': 'str',
'user_permission': 'str',
'dashboard_id': 'int',
'name': 'str',
'description': 'str',
'last_updated_on': 'int',
'theme': 'str',
'interval': 'int',
'id': 'int',
'type': 'str',
'timescale': 'str',
'device_id': 'int',
'device_display_name': 'str'
}
attribute_map = {
'last_updated_by': 'lastUpdatedBy',
'user_permission': 'userPermission',
'dashboard_id': 'dashboardId',
'name': 'name',
'description': 'description',
'last_updated_on': 'lastUpdatedOn',
'theme': 'theme',
'interval': 'interval',
'id': 'id',
'type': 'type',
'timescale': 'timescale',
'device_id': 'deviceId',
'device_display_name': 'deviceDisplayName'
}
def __init__(self, last_updated_by=None, user_permission=None, dashboard_id=None, name=None, description=None, last_updated_on=None, theme=None, interval=None, id=None, type=None, timescale=None, device_id=None, device_display_name=None): # noqa: E501
"""ServiceAlert - a model defined in Swagger""" # noqa: E501
self._last_updated_by = None
self._user_permission = None
self._dashboard_id = None
self._name = None
self._description = None
self._last_updated_on = None
self._theme = None
self._interval = None
self._id = None
self._type = None
self._timescale = None
self._device_id = None
self._device_display_name = None
self.discriminator = None
if last_updated_by is not None:
self.last_updated_by = last_updated_by
if user_permission is not None:
self.user_permission = user_permission
self.dashboard_id = dashboard_id
self.name = name
if description is not None:
self.description = description
if last_updated_on is not None:
self.last_updated_on = last_updated_on
if theme is not None:
self.theme = theme
if interval is not None:
self.interval = interval
if id is not None:
self.id = id
self.type = type
if timescale is not None:
self.timescale = timescale
self.device_id = device_id
if device_display_name is not None:
self.device_display_name = device_display_name
@property
def last_updated_by(self):
"""Gets the last_updated_by of this ServiceAlert. # noqa: E501
The user that last updated the widget # noqa: E501
:return: The last_updated_by of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._last_updated_by
@last_updated_by.setter
def last_updated_by(self, last_updated_by):
"""Sets the last_updated_by of this ServiceAlert.
The user that last updated the widget # noqa: E501
:param last_updated_by: The last_updated_by of this ServiceAlert. # noqa: E501
:type: str
"""
self._last_updated_by = last_updated_by
@property
def user_permission(self):
"""Gets the user_permission of this ServiceAlert. # noqa: E501
The permission level of the user who last modified the widget # noqa: E501
:return: The user_permission of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._user_permission
@user_permission.setter
def user_permission(self, user_permission):
"""Sets the user_permission of this ServiceAlert.
The permission level of the user who last modified the widget # noqa: E501
:param user_permission: The user_permission of this ServiceAlert. # noqa: E501
:type: str
"""
self._user_permission = user_permission
@property
def dashboard_id(self):
"""Gets the dashboard_id of this ServiceAlert. # noqa: E501
The id of the dashboard the widget belongs to # noqa: E501
:return: The dashboard_id of this ServiceAlert. # noqa: E501
:rtype: int
"""
return self._dashboard_id
@dashboard_id.setter
def dashboard_id(self, dashboard_id):
"""Sets the dashboard_id of this ServiceAlert.
The id of the dashboard the widget belongs to # noqa: E501
:param dashboard_id: The dashboard_id of this ServiceAlert. # noqa: E501
:type: int
"""
if dashboard_id is None:
raise ValueError("Invalid value for `dashboard_id`, must not be `None`") # noqa: E501
self._dashboard_id = dashboard_id
@property
def name(self):
"""Gets the name of this ServiceAlert. # noqa: E501
The name of the widget # noqa: E501
:return: The name of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._name
@name.setter
def name(self, name):
"""Sets the name of this ServiceAlert.
The name of the widget # noqa: E501
:param name: The name of this ServiceAlert. # noqa: E501
:type: str
"""
if name is None:
raise ValueError("Invalid value for `name`, must not be `None`") # noqa: E501
self._name = name
@property
def description(self):
"""Gets the description of this ServiceAlert. # noqa: E501
The description of the widget # noqa: E501
:return: The description of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._description
@description.setter
def description(self, description):
"""Sets the description of this ServiceAlert.
The description of the widget # noqa: E501
:param description: The description of this ServiceAlert. # noqa: E501
:type: str
"""
self._description = description
@property
def last_updated_on(self):
"""Gets the last_updated_on of this ServiceAlert. # noqa: E501
The time that corresponds to when the widget was last updated, in epoch format # noqa: E501
:return: The last_updated_on of this ServiceAlert. # noqa: E501
:rtype: int
"""
return self._last_updated_on
@last_updated_on.setter
def last_updated_on(self, last_updated_on):
"""Sets the last_updated_on of this ServiceAlert.
The time that corresponds to when the widget was last updated, in epoch format # noqa: E501
:param last_updated_on: The last_updated_on of this ServiceAlert. # noqa: E501
:type: int
"""
self._last_updated_on = last_updated_on
@property
def theme(self):
"""Gets the theme of this ServiceAlert. # noqa: E501
The color scheme of the widget. Options are: borderPurple | borderGray | borderBlue | solidPurple | solidGray | solidBlue | simplePurple | simpleBlue | simpleGray | newBorderGray | newBorderBlue | newBorderDarkBlue | newSolidGray | newSolidBlue | newSolidDarkBlue | newSimpleGray | newSimpleBlue |newSimpleDarkBlue # noqa: E501
:return: The theme of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._theme
@theme.setter
def theme(self, theme):
"""Sets the theme of this ServiceAlert.
The color scheme of the widget. Options are: borderPurple | borderGray | borderBlue | solidPurple | solidGray | solidBlue | simplePurple | simpleBlue | simpleGray | newBorderGray | newBorderBlue | newBorderDarkBlue | newSolidGray | newSolidBlue | newSolidDarkBlue | newSimpleGray | newSimpleBlue |newSimpleDarkBlue # noqa: E501
:param theme: The theme of this ServiceAlert. # noqa: E501
:type: str
"""
self._theme = theme
@property
def interval(self):
"""Gets the interval of this ServiceAlert. # noqa: E501
The refresh interval of the widget, in minutes # noqa: E501
:return: The interval of this ServiceAlert. # noqa: E501
:rtype: int
"""
return self._interval
@interval.setter
def interval(self, interval):
"""Sets the interval of this ServiceAlert.
The refresh interval of the widget, in minutes # noqa: E501
:param interval: The interval of this ServiceAlert. # noqa: E501
:type: int
"""
self._interval = interval
@property
def id(self):
"""Gets the id of this ServiceAlert. # noqa: E501
The Id of the widget # noqa: E501
:return: The id of this ServiceAlert. # noqa: E501
:rtype: int
"""
return self._id
@id.setter
def id(self, id):
"""Sets the id of this ServiceAlert.
The Id of the widget # noqa: E501
:param id: The id of this ServiceAlert. # noqa: E501
:type: int
"""
self._id = id
@property
def type(self):
"""Gets the type of this ServiceAlert. # noqa: E501
alert | deviceNOC | html | serviceOverallStatus | sgraph | ngraph | serviceNOC | serviceSLA | bigNumber | gmap | serviceIndividualStatus | gauge | pieChart | ngraph | batchjob # noqa: E501
:return: The type of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._type
@type.setter
def type(self, type):
"""Sets the type of this ServiceAlert.
alert | deviceNOC | html | serviceOverallStatus | sgraph | ngraph | serviceNOC | serviceSLA | bigNumber | gmap | serviceIndividualStatus | gauge | pieChart | ngraph | batchjob # noqa: E501
:param type: The type of this ServiceAlert. # noqa: E501
:type: str
"""
if type is None:
raise ValueError("Invalid value for `type`, must not be `None`") # noqa: E501
self._type = type
@property
def timescale(self):
"""Gets the timescale of this ServiceAlert. # noqa: E501
The default timescale of the widget # noqa: E501
:return: The timescale of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._timescale
@timescale.setter
def timescale(self, timescale):
"""Sets the timescale of this ServiceAlert.
The default timescale of the widget # noqa: E501
:param timescale: The timescale of this ServiceAlert. # noqa: E501
:type: str
"""
self._timescale = timescale
@property
def device_id(self):
"""Gets the device_id of this ServiceAlert. # noqa: E501
:return: The device_id of this ServiceAlert. # noqa: E501
:rtype: int
"""
return self._device_id
@device_id.setter
def device_id(self, device_id):
"""Sets the device_id of this ServiceAlert.
:param device_id: The device_id of this ServiceAlert. # noqa: E501
:type: int
"""
if device_id is None:
raise ValueError("Invalid value for `device_id`, must not be `None`") # noqa: E501
self._device_id = device_id
@property
def device_display_name(self):
"""Gets the device_display_name of this ServiceAlert. # noqa: E501
:return: The device_display_name of this ServiceAlert. # noqa: E501
:rtype: str
"""
return self._device_display_name
@device_display_name.setter
def device_display_name(self, device_display_name):
"""Sets the device_display_name of this ServiceAlert.
:param device_display_name: The device_display_name of this ServiceAlert. # noqa: E501
:type: str
"""
self._device_display_name = device_display_name
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
if issubclass(ServiceAlert, dict):
for key, value in self.items():
result[key] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ServiceAlert):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| [
"jeremy.tang@logicmonitor.com"
] | jeremy.tang@logicmonitor.com |
47f279fb0f8e4364b04cdc930d764cfe6abe6001 | 7d257e13bb2ebe6621e58483f7412fc91b6e641e | /assesmentmanagementsystem/Flask/web_app/git_API_functions.py | 580fe4293dca944abe8601093a835054b7be7ab6 | [] | no_license | 19059019/HonoursProject | da625435a79e8efd85222d511f0e07b25068953f | 12fbc29b08fe642b3115e1c423c501ae41550cd2 | refs/heads/master | 2022-12-26T03:09:39.138365 | 2020-03-20T12:56:54 | 2020-03-20T12:56:54 | 248,755,004 | 0 | 0 | null | 2022-12-08T07:26:10 | 2020-03-20T12:54:03 | Python | UTF-8 | Python | false | false | 152 | py | from config import *
import gitlab
GIT_SERVER = config["git_server"]
TOKEN = config["git_token"]
gl = gitlab.Gitlab(GIT_SERVER, private_token=TOKEN)
| [
"mikesheep24@gmail.com"
] | mikesheep24@gmail.com |
2ae16a9e9e78108fc155c5ad03fae33bc317ad74 | d63222abe326a3c8debd59bb8d24cb7eab3de09e | /leetcode/mock-interviews/reorganize_string/solve2.py | 457e7f2208383c86f7b71461edd8321eeb4e2c1e | [] | no_license | tariqrahiman/pyComPro | 91f47e93eb0a077d489659fcf0a75d5c1a65fc17 | 86ec13f47506a2495ab6b6bbb58d4e8b2a21538b | refs/heads/master | 2022-02-10T04:15:40.194828 | 2019-06-16T10:22:38 | 2019-06-16T10:22:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 948 | py | class Solution(object):
def reorganizeString(self, S):
count_letter = [[0, i] for i in xrange(25)]
for char in S: count_letter[ord(char) - 97][0] += 1
count_letter.sort(reverse=True)
count_letter = [k for k in count_letter if k[0] > 0]
res = [""]
def decrease(index):
res[0] += chr(count_letter[index][1] + 97)
count_letter[index][0] -= 1
if count_letter[index][0] == 0: del count_letter[index]
print count_letter
while len(count_letter) > 1:
i = len(count_letter) - 1
while i > 0:
for _ in xrange(count_letter[i][0]):
decrease(i); decrease(i - 1)
i -= 2
print res[0]
print count_letter
if len(count_letter) == 1:
if count_letter[0][0] != 1: return " "
return chr(count_letter[0][1] + 97) + res[0]
return res[0]
| [
"alexsolbiati@hotmail.it"
] | alexsolbiati@hotmail.it |
8b4b8b5b6d763fd2a7db57022a79bde58116674a | 9692a20a1e7a224a72785e4495f31421639b9f3b | /frex/stores/sparql_queryable.py | ca7711df4642f8043fbcf8e36450204ce9c9d5df | [] | no_license | solashirai/FREx | 6b0cb040930761a0e269f4591d7dde36e3f636d1 | 36ad09a0cb0020661ee990c7800bafd110e2ec04 | refs/heads/master | 2023-08-14T08:49:49.270281 | 2021-09-29T14:58:23 | 2021-09-29T14:58:23 | 291,760,109 | 0 | 0 | null | 2021-09-24T22:41:19 | 2020-08-31T15:57:47 | Python | UTF-8 | Python | false | false | 526 | py | from abc import ABC, abstractmethod
from rdflib.query import Result
class SparqlQueryable(ABC):
"""
SparqlQueryable is the base class for stores that can be queried in some way using SPARQL queries.
"""
@abstractmethod
def query(self, *, sparql: str) -> Result:
"""
Query the sparql queryable and retrieve a result.
:param sparql: A string containing valid SPARQL to query.
:return: A Result containing the result from calling the SPARQL query.
"""
pass
| [
"solashakashirai@gmail.com"
] | solashakashirai@gmail.com |
5b215f0420808f7de11704061dc9500c57c7f5fa | d57b817ea296970727616dbd6dcdde51479abeef | /Rajesh/Calculator.py | d60bcd8e7357ccdabe20b0541c1f52f1a2a7f9bb | [] | no_license | sharedrepo2021/AWS_Python | fefa0e6564621302c07006222856dde2204af06e | a1f8a6848ce62b6411e9a54fc63f6a41d8bfc875 | refs/heads/main | 2023-03-07T12:45:47.755159 | 2021-02-16T22:03:50 | 2021-02-16T22:03:50 | 330,518,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,319 | py | class Calculator:
def __init__(self, number1, number2, result, chc, div0):
self.a = number1
self.b = number2
self.result = result
self.choice = chc
self.d = div0
def add(self):
self.result = self.a + self.b
return self.result
def sub(self):
self.result = self.a - self.b
return self.result
def mul(self):
self.result = self.a * self.b
return self.result
def div(self):
self.d = "Cannot Divide By 0"
if self.b == 0:
self.result = self.d
else:
self.result = self.a / self.b
self.d = 0
return self.result
def getinput(self):
self.a = int(input("Enter 1st Number : "))
self.b = int(input("Enter 2nd Number : "))
def optiondisplay(self):
print("\n")
print("Select Options : 1 . Addition")
print(" : 2 . Subtraction")
print(" : 3 . Multiplication")
print(" : 4 . Division")
print(" : 5 . Exit")
print(" : 6 . Change Input")
self.choice = int(input("Choice : "))
print("\n\n")
if __name__ == "__main__":
a = 0
b = 0
r = 0
choice = 0
d = 0
calc1 = Calculator(a, b, r, choice, d)
prev1 = Calculator(a, b, r, choice, d)
calc1.optiondisplay()
while calc1.choice > 6:
print("Invalid choice")
calc1.optiondisplay()
if calc1.choice != 6:
calc1.getinput()
else:
prev1.choice = calc1.choice
while calc1.choice != 5:
if calc1.choice == 1:
print("\n")
print(" " + str(calc1.a) + " +")
print(" " + str(calc1.b))
print("---------")
print(" " + str(calc1.add()))
prev1.choice = calc1.choice
calc1.optiondisplay()
elif calc1.choice == 2:
print("\n")
print(" " + str(calc1.a) + " -")
print(" " + str(calc1.b))
print("---------")
print(" " + str(calc1.sub()))
prev1.choice = calc1.choice
calc1.optiondisplay()
elif calc1.choice == 3:
print("\n")
print(" " + str(calc1.a) + " *")
print(" " + str(calc1.b))
print("---------")
print(" " + str(calc1.mul()))
prev1.choice = calc1.choice
calc1.optiondisplay()
elif calc1.choice == 4:
print("\n")
print(" " + str(calc1.a) + " /")
print(" " + str(calc1.b))
print("---------")
print(" " + str(calc1.div()))
prev1.choice = calc1.choice
if calc1.d == 0:
calc1.optiondisplay()
else:
print("\n")
calc1.getinput()
elif calc1.choice == 5:
exit()
elif calc1.choice == 6:
calc1.getinput()
if prev1.choice >= 6:
calc1.optiondisplay()
else:
calc1.choice = prev1.choice
else:
print("Invalid choice")
prev1.choice = calc1.choice
calc1.optiondisplay()
| [
"rajeshvarghese@gmail.com"
] | rajeshvarghese@gmail.com |
24b225f065ed151eb22a92e8b8d904ab8f8a5b5d | ad01faab6dd663dc5193eb8383fdc2d24c2df23d | /_flask/_flask/src/models.py | 65bcffc85e3d1501298f09252d2b8c292996163d | [] | no_license | jurgeon018/snippets | 585db91b8120076b37deaa37393b34f7c61fec66 | e0ab24a99791c3b25422a3208f02919cf98ca084 | refs/heads/master | 2023-05-14T12:31:48.139452 | 2023-01-23T03:33:41 | 2023-01-23T03:33:41 | 222,001,233 | 0 | 0 | null | 2023-05-01T22:16:48 | 2019-11-15T20:51:27 | Python | UTF-8 | Python | false | false | 2,368 | py | from flask_security import UserMixin, RoleMixin
from datetime import datetime
import re
from app import db
def slugify(s):
pattern = r'[^\w+]'
return re.sub(pattern, '-', str(s))
post_tags = db.Table(
'post_tags',
db.Column('post_id', db.Integer, db.ForeignKey('post.id')),
db.Column('tag_id', db.Integer, db.ForeignKey('tag.id'))
)
roles_users = db.Table(
'roles_users',
db.Column('user_id', db.Integer(), db.ForeignKey('user.id')),
db.Column('role_id', db.Integer(), db.ForeignKey('role.id'))
)
class SaveMixin:
def save(self, *args, **kwargs):
db.session.add(self)
db.session.commit()
class User(db.Model, SaveMixin, UserMixin):
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(100), unique=True)
password = db.Column(db.String(100))
active = db.Column(db.Boolean())
roles = db.relationship('Role',
secondary=roles_users,
backref=db.backref('users', lazy='dynamic'))
class Role(db.Model, SaveMixin, RoleMixin):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(100), unique=True)
description = db.Column(db.String(255))
class Post(db.Model, SaveMixin):
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(140))
slug = db.Column(db.String(140), unique=True)
body = db.Column(db.Text())
created = db.Column(db.DateTime, default=datetime.now)
tags = db.relationship('Tag',
secondary=post_tags,
backref=db.backref('posts'),
lazy='dynamic')
def __init__(self, *args, **kwargs):
super(Post, self).__init__(*args, **kwargs)
self.generate_slug()
def generate_slug(self):
if self.title:
self.slug = slugify(self.title)
def __repr__(self):
return '<Post id: {}, title: {}'.format(self.id, self.title)
class Tag(db.Model, SaveMixin):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(100))
slug = db.Column(db.String(100))
def __init__(self, *args, **kwargs):
super(Tag, self).__init__(*args, **kwargs)
self.slug = slugify(self.name)
def __repr__(self):
return '<Tag id: {}, name: {}>'.format(self.id, self.name)
| [
"jurgeon018@gmail.com"
] | jurgeon018@gmail.com |
e17959a66a7bad08e04d87207e82ac8682bbc421 | 2fe9381ea17e68572521370de6d3519ed1f8a669 | /mysite/game/views.py | ebba74a15b4cfd45bf30f1b1106a314f7e508544 | [] | no_license | vittesharora/sarcasm-sample | 5909fd333e30e8cd430d98b0a69313be6030f682 | aa332f9a74fe6179c61bc8f29867d69996509b3e | refs/heads/master | 2020-05-27T15:02:27.258571 | 2019-05-26T11:04:28 | 2019-05-26T11:04:28 | 188,670,761 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 789 | py | from django.shortcuts import render, get_object_or_404, redirect
from .models import Question
from .forms import SignUpForm
from django.contrib.auth.forms import UserCreationForm
# Create your views here.
def gaming(request):
questions=Question.objects.all()
return render(request, 'game/home.html', {'questions':questions})
def detail(request, pk):
question=get_object_or_404(Question, pk=pk)
return render(request, 'game/detail.html',{'pk':pk,'question':question})
def register(request):
if request.method == 'POST':
form = SignUpForm(request.POST)
if form.is_valid():
form.save()
return redirect('/game')
else:
form= SignUpForm()
return render(request, 'game/register.html', {'form':form})
def opening(request):
return render(request, 'game/opening.html',{}) | [
"avittesh@gmaill.com"
] | avittesh@gmaill.com |
7ce5a5a7e987b5117fe0c6627da59256dd274079 | 09f0505f3ac1dccaf301c1e363423f38768cc3cc | /r_DailyProgrammer/Hard/C261/__init__.py | 7fb10a7e3f3dd524eca4b11a7704983484b081b8 | [] | no_license | Awesome-Austin/PythonPractice | 02212292b92814016d062f0fec1c990ebde21fe7 | 9a717f91d41122be6393f9fcd1a648c5e62314b3 | refs/heads/master | 2023-06-21T11:43:59.366064 | 2021-07-29T23:33:00 | 2021-07-29T23:33:00 | 270,854,302 | 0 | 0 | null | 2020-08-11T20:47:10 | 2020-06-08T23:24:09 | Python | UTF-8 | Python | false | false | 63 | py | #! python3
from r_DailyProgrammer.Hard.C261.main import main
| [
"{ID}+{username}@users.noreply.github.com"
] | {ID}+{username}@users.noreply.github.com |
f86e34acdf5f4cfe3017b4eb336412a36a9ee039 | 4df51c5b80555f04c93bc7af29ddf99621198b8f | /codechef_TheLeadGame.py | b2e9c98e7058a9a3d1202d727e97bab2829472dc | [] | no_license | Rup-Royofficial/Codechef_solutions | 4752fdf2040a0bd4efaed075f34f65fdfcbc2872 | 62edb5e0cf3dfc7db68c98f23033b7d2e2007566 | refs/heads/main | 2023-06-24T07:40:30.848869 | 2021-07-22T15:47:44 | 2021-07-22T15:47:44 | 388,516,041 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 873 | py |
n = int(input())
d = []
f = []
x = 0
y = 0
c_1 = []
c_2 = []
for i in range(n):
a,b = map(int,input().split())
if a>b:
c = a-b
d.append(c)
c_1.append(a)
c_2.append(b)
if b>a:
e = b-a
f.append(e)
c_1.append(a)
c_2.append(b)
if sum(c_1)> sum(c_2):
print(f"1 {max(d)}")
if sum(c_2)>sum(c_1):
print(f"2 {max(f)}")
"""
p1=[0]
p2=[0]
q1=0
q2=0
for i in range(int(input())):
a,b=map(int,input().split())
q1+=a
q2+=b
s=q1-q2
if s>=0:
p1.append(s)
else:
p2.append(-s)
# print(p1,p2)
p1=max(p1)
p2=max(p2)
if p1>=p2:
print(1,p1)
else:
print(2,p2)
"""
""" this above code is the correct answer as per them"""
"""although the question is broken , i think """ | [
"noreply@github.com"
] | noreply@github.com |
9fa85e205aedaa36233270fd54d0d9466f74e4e1 | bfc58d03880345345459d49d8c57d63cfc941554 | /Z1.2.py | db7ede5e7af07896bfb434cd7678aaca70746544 | [] | no_license | Gordey007/MADE | cf1684174cfd4b391beff624ee1dc1d2bc4e0ddd | db4d2a1e1f26970c7267f2ee368e22cafae9e178 | refs/heads/main | 2023-01-30T11:50:54.170479 | 2020-12-14T13:54:55 | 2020-12-14T13:54:55 | 321,359,343 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,887 | py | # многослойная модель персептрона для задачи двух окружностей
from sklearn.datasets import make_circles
from keras.models import Sequential
from keras.layers import Dense
from matplotlib import pyplot
# # генерировать набор данных
X, y = make_circles(n_samples=1000, noise=0.1, random_state=1)
# разделить на поезд и проверить
n_test = 500
trainX, testX = X[:n_test, :], X[n_test:, :]
trainy, testy = y[:n_test], y[n_test:]
# print("trainX")
# for n in trainX:
# print(n)
#
# print("trainy")
# for n in trainy:
# print(n)
#
# print("testX")
# for n in testX:
# print(n)
#
# print("testy")
# for n in testy:
# print(n)
# определить модель
model = Sequential()
model.add(Dense(100, input_dim=2, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
# составить модель
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
# подходящая модель
history = model.fit(trainX, trainy, validation_data=(testX, testy), epochs=300, verbose=0)
# оценить модель
_, train_acc = model.evaluate(trainX, trainy, verbose=0)
_, test_acc = model.evaluate(testX, testy, verbose=0)
print('Train: %.3f, Test: %.3f' % (train_acc, test_acc))
# потеря сюжета во время тренировки
pyplot.subplot(211)
pyplot.title('Loss')
pyplot.plot(history.history['loss'], label='train')
pyplot.plot(history.history['val_loss'], label='test')
pyplot.legend()
# точность сюжета во время тренировки
pyplot.subplot(212)
pyplot.title('Accuracy')
pyplot.plot(history.history['accuracy'], label='train')
pyplot.plot(history.history['val_accuracy'], label='test')
pyplot.legend()
pyplot.show()
| [
"noreply@github.com"
] | noreply@github.com |
5e533e4548295d223cc6fd1155ddcb18b11144ec | 103e04fe44bf613bbc4c93e7a2d4d044bdca947f | /mysite/urls.py | 5e05c26c34cd5c0972403ad74ece322765135b17 | [] | no_license | fij0/my-first-blog | 3bb00b5567fb8eaa3020948703705fd73923befa | 91aff421e69ffb58c7c4142fc0b4cee9bc52826d | refs/heads/master | 2016-09-12T16:28:01.698961 | 2016-04-23T19:22:01 | 2016-04-23T19:22:01 | 56,926,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 181 | py | from django.conf.urls import include, url
from django.contrib import admin
urlpatterns = [
url(r'^admin/', include(admin.site.urls)),
url(r'', include ('blog.urls')),
]
| [
"fortigala@gmail.com"
] | fortigala@gmail.com |
a39a4020e3c0bd37e28ab0cc5f23365d3101cb61 | fbc6af0a6bd232f8501822ad75a75e397b4ee05e | /Convert CamelCase to Sname_case.py | 922f56b6c3c133136a8a604e94a1277610cabebf | [] | no_license | DushyantVermaCS/Python-Tuts | 2d0438974ed0425cd32f15351c758af14fa5fdc6 | 356a43be77f21cebff64be3c06130a09d932028e | refs/heads/main | 2023-05-08T02:50:50.336586 | 2021-05-25T17:10:07 | 2021-05-25T17:10:07 | 370,689,589 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 575 | py | # Convert Lettrs from CamelCase to snake_case :>---------------------------------
ph = input() #input any phase
fis = ph[0].lower() #first letter of phase
letter = ""
for word in ph[1: ]:
if word.isupper():
word ="_"+word.lower()
#print(word)
letter += word
print(fis+letter)
''' -----------------BY USING Replace Method---------------------------------------
text = input()
for letter in text:
if letter.isupper():
text = text.replace(letter, "_" + letter.lower(), 1)
print(text)
'''
| [
"noreply@github.com"
] | noreply@github.com |
c959f7846d359b08fddf15504810577c09e79d06 | afa8d16eefad352022461d9752cc3fec7cddb0c0 | /venv/Scripts/pip-script.py | c252ecb351b1c5da5afaf73ae6da2332c1fe2ae8 | [] | no_license | vermamuskan/Sudoku_Solver | 3252bbb0b0b39aa35fcef6fe3a8ab6883aff4c6e | 0fff3b77c4eb3eaa0706806635f81c17d7dae131 | refs/heads/master | 2023-07-18T03:42:15.773716 | 2021-08-30T17:43:05 | 2021-08-30T17:43:05 | 276,735,689 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 384 | py | #!H:\untitled\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==19.0.3', 'console_scripts', 'pip')()
)
| [
"themuskanverma@gmail.com"
] | themuskanverma@gmail.com |
552ab2bbd2ef44a5026c219a56b2ffd8ce677ca4 | c73fc798764f40ea6fa466a573fb01223e367ce3 | /recursion/dequeue.py | 0cb394faf20083a3b1185caeaf1124bf8907044b | [] | no_license | mohitsh/python_work | b1385f62104aa6b932f5452ca5c2421526345455 | 223a802dea5cdb73f44a159856c7432983655668 | refs/heads/master | 2020-04-24T00:34:15.427060 | 2018-08-21T19:12:07 | 2018-08-21T19:12:07 | 37,491,449 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,060 | py | '''
in this deque example I have considered position 0 to be FRONT
in other deque exmaples like Palindrome checker last element has
been considered as front.
Usually first element is considered rear and last one is considered
front.
I have to manipulate 0 twice to make this code compatible with 0 as
rear and last as Front
so no worries!
'''
class Deque:
def __init__(self):
self.items = []
def size(self):
return len(self.items)
def isEmpty(self):
return self.items == []
def addFront(self,item):
self.items.insert(0,item)
def addRear(self,item):
self.items.append(item)
def removeFront(self):
return self.items.pop(0)
def removeRear(self):
return self.items.pop()
def show(self):
print self.items
d = Deque()
print d.isEmpty()
print d.size()
d.addFront(1)
d.addFront(2)
d.addFront(3)
print d.isEmpty()
print d.size()
d.show()
d.addRear(10)
d.addRear(11)
d.addRear(12)
d.show()
print d.removeFront()
print d.removeFront()
print d.removeFront()
d.show()
print d.removeRear()
print d.removeRear()
print d.removeRear()
d.show()
| [
"mohitsh114@gmail.com"
] | mohitsh114@gmail.com |
b13067dd270bc42aaa0289e9252634ac5e07ecc2 | 3f2ebe9b8c3a249de9b81e76fefcec82e1ab61c7 | /Breaking4thwall/BreakFourthWall.py | d3f2a27d6e48d1722cec8a8527071390b1d82a45 | [] | no_license | AlekseyPanas/BreakingFourthWall | b0b376fabddb899070c3f6b3fd587db8aa613e61 | ee9fe4cfdcdbc0c6d6c0f1ec2086ccc750bf9426 | refs/heads/main | 2023-04-22T20:54:45.540394 | 2021-05-07T01:24:37 | 2021-05-07T01:24:37 | 364,835,823 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 35,365 | py | import pygame
import copy
import math
import random
import time
pygame.init()
class Game:
FRICTION = 0.99
def __init__(self, fourth_wall=False, player_hp=None):
self.RESET_GAME = False
self.PAUSED = False
self.WIN = False
self.LOSS = False
self.UNPAUSABLE = False
self.IS_CUTSCENE = False
self.CUTSCENE_STRING = ""
# Will the boss pause the game when dying
self.WILL_PAUSE = False if fourth_wall else random.choice([True, False, False, False])
self.BOSS = Boss(-1, 1)
self.PLY = Player(-1, 1)
# Current list, add queue list, and delete queue list for each item
self.BULLETS = []
self.bullet_q = []
self.bullet_dq = []
self.SLASHES = []
self.slash_q = []
self.slash_dq = []
self.OTHER = []
self.other_q = []
self.other_dq = []
self.RESTART = Button((SIZE[0] / 2, SIZE[1] / 3), (0, 0), (80, 35), pygame.image.load("reset.png"))
self.BACK = Button((SIZE[0] / 2, SIZE[1] / 4), (0, 0), (80, 35), pygame.image.load("back.png"))
self.PAUSE = Button((SIZE[0] * .9, SIZE[1] * .1), (0, 0), (80, 35), pygame.image.load("pause.png"))
self.PAUSED_TEXT = get_arial_font_bold(50).render("Game Paused", True, (0, 0, 0)).convert_alpha()
self.WIN_TEXT = get_arial_font_bold(50).render("You Win!", True, (0, 100, 0)).convert_alpha()
self.LOSS_TEXT = get_arial_font_bold(50).render("You Lost!", True, (100, 0, 0)).convert_alpha()
if not fourth_wall:
self.BOSS.add_dialogue("I WILL DESTROY YOU!!", 5, 10)
else:
self.IS_CUTSCENE = True
self.CUTSCENE_STRING = "restart"
self.BOSS.add_dialogue("And you really thought you had me there huh...", 5, 20)
# Calculates how fast the player is doing damage to the boss. If bad enough, mouse will be bound
self.damage_accum = 0
self.damage_dialogue = ["No more mousing around",
"Now stay there!",
"Stay!",
"Don't move",
"No more moving",
"Try aiming now!"]
self.bind_counter = 0
if player_hp is not None:
hp = player_hp
if hp < 500:
hp = 500
self.PLY.update_health(hp)
def cutscene_i1(self):
# Boss moves towards point
target = SIZE[0] / 2, SIZE[1] * .7
if not distance(target, self.BOSS.pos) < 30:
y = target[1] - self.BOSS.pos[1]
x = target[0] - self.BOSS.pos[0]
h = math.sqrt(y ** 2 + x ** 2)
y = (y / h)
x = (x / h)
self.BOSS.vel = (x, y)
self.BOSS.update_physics(screen, self)
if distance(target, self.BOSS.pos) < 30:
self.BOSS.vel = (0, 0)
return True
return False
def run_game(self, screen):
print(self.damage_accum)
# Manages damage accumulation
if self.damage_accum > 0:
self.damage_accum -= .3 if not self.PLY.is_mouse_bound else 1
if self.damage_accum < 0:
self.damage_accum = 0
if self.damage_accum > 550:
self.PLY.bind_mouse([random.randint(50, 550) for _ in range(2)])
self.bind_counter = 800
self.damage_accum = 0
self.BOSS.clear_dialogue()
self.BOSS.add_dialogue(random.choice(self.damage_dialogue), 5, 25)
if self.bind_counter > 0:
self.bind_counter -= 1
if self.bind_counter == 0:
self.PLY.unbind_mouse()
# Manages all cutscenes using state machine with CUTSCENE_STRING
if self.IS_CUTSCENE:
if self.CUTSCENE_STRING == "restart":
if not len(self.BOSS.dialogue_queue):
self.IS_CUTSCENE = False
elif self.CUTSCENE_STRING == "i_0":
self.CUTSCENE_2nd_DIALOGUE_FLAG = True
self.CUTSCENE_LASER = Laser(copy.copy(self.BOSS.pos), copy.copy(self.PAUSE.pos))
self.CUTSCENE_STRING = "i_-1"
elif self.CUTSCENE_STRING == "i_-1":
self.CUTSCENE_LASER.update(screen, self)
self.CUTSCENE_LASER.render(screen, self)
if self.cutscene_i1() and self.CUTSCENE_LASER.opacity <= 0:
self.CUTSCENE_STRING = "i_-2"
elif self.CUTSCENE_STRING == "i_-2":
self.BOSS.add_dialogue("Whew, almost had me there!", 4, 25)
self.BOSS.add_dialogue("What? You thought you're the only one who can pause?", 4, 25)
self.BOSS.add_dialogue("Now Now, lets see what I can do here", 7, 25)
self.BOSS.add_dialogue("Oh! I got an idea", 6, 17)
self.CUTSCENE_STRING = "i_3"
elif self.CUTSCENE_STRING == "i_1":
self.CUTSCENE_2nd_DIALOGUE_FLAG = False
if self.cutscene_i1():
self.CUTSCENE_STRING = "i_2"
elif self.CUTSCENE_STRING == "i_2":
self.BOSS.add_dialogue("Really? You're just gonna pause to give yourself a break?", 4, 15)
self.BOSS.add_dialogue("I don't think so...", 10, 10)
self.CUTSCENE_STRING = "i_3"
elif self.CUTSCENE_STRING == "i_3":
if not len(self.BOSS.dialogue_queue):
self.CUTSCENE_STRING = "i_4"
elif self.CUTSCENE_STRING == "i_4":
self.CUTSCENE_LASER = Laser(copy.copy(self.BOSS.pos), copy.copy(self.RESTART.pos))
self.RESTART.height_vel = 5
self.RESTART.vel = ((random.randint(20, 40) / 10) * random.choice([-1, 1]), 1)
self.CUTSCENE_STRING = "i_5"
elif self.CUTSCENE_STRING == "i_5":
self.CUTSCENE_LASER.update(screen, self)
self.CUTSCENE_LASER.render(screen, self)
if self.RESTART.height <= 0:
self.RESTART.vel = (0, 0)
self.CUTSCENE_COUNT = 20
self.CUTSCENE_STRING = "i_6"
elif self.CUTSCENE_STRING == "i_6":
if self.CUTSCENE_COUNT > 0:
self.CUTSCENE_COUNT -= 1
else:
self.CUTSCENE_STRING = "i_7"
elif self.CUTSCENE_STRING == "i_7":
if not self.CUTSCENE_2nd_DIALOGUE_FLAG:
self.BOSS.add_dialogue("Careful not to restart! Mwahaha!!!", 8, 15)
self.BOSS.add_dialogue("Oh.. And no more pausing!", 7, 10)
else:
self.BOSS.add_dialogue("The restart button might make things a little more balanced", 5, 17)
self.BOSS.add_dialogue("Alright, no more pausing for both of us.!", 6, 13)
self.CUTSCENE_STRING = "i_8"
elif self.CUTSCENE_STRING == "i_8":
if not len(self.BOSS.dialogue_queue):
self.CUTSCENE_STRING = "i_9"
elif self.CUTSCENE_STRING == "i_9":
self.add_other(Laser(copy.copy(self.BOSS.pos), copy.copy(self.PAUSE.pos)))
CUTSCENE_FRAGMENTS = fragmentate(self.PAUSE.image, self.PAUSE.pos)
for frag in CUTSCENE_FRAGMENTS:
frag.vel = random.randint(-40, 10) / 10, random.randint(-10, 40) / 10
self.add_other(CUTSCENE_FRAGMENTS[0])
self.add_other(CUTSCENE_FRAGMENTS[1])
self.PAUSED = False
self.UNPAUSABLE = True
self.IS_CUTSCENE = False
print(self.WILL_PAUSE)
# Checks for Cutscene conditions
if not self.IS_CUTSCENE and (not self.UNPAUSABLE):
if self.BOSS.health / self.BOSS.full_health <= 0.3 and self.WILL_PAUSE:
self.IS_CUTSCENE = True
self.PAUSED = True
self.CUTSCENE_STRING = "i_0"
elif self.PAUSED and self.BOSS.health / self.BOSS.full_health <= 0.6 and (not (self.WIN or self.LOSS)):
print("OMG")
self.IS_CUTSCENE = True
self.CUTSCENE_STRING = "i_1"
# Events
if not self.IS_CUTSCENE:
rem = []
for event in events:
if event.type == pygame.MOUSEBUTTONDOWN and event.button == pygame.BUTTON_LEFT:
# Pause Button Pauses Game
if (not self.UNPAUSABLE) and self.PAUSE.is_clicked(event.pos):
self.PAUSED = True
rem.append(event)
# Back button returns to game
elif self.PAUSED and not (self.WIN or self.LOSS) and self.BACK.is_clicked(event.pos):
self.PAUSED = False
# Restart button restarts game
elif (self.PAUSED or self.UNPAUSABLE) and self.RESTART.is_clicked(event.pos):
self.RESET_GAME = True
if self.UNPAUSABLE and (not (self.WIN or self.LOSS)):
set_4th_wall_toggle(True, self.PLY.health)
for event in rem:
if event in events:
events.remove(event)
# Runs logic for boss and player
self.BOSS.run_sprite(screen, self)
self.PLY.run_sprite(screen, self)
# Runs logic for bullets, slashes, and other objects
for o in self.SLASHES + self.BULLETS + self.OTHER:
o.run_sprite(screen, self)
# Runs logic for buttons
if self.PAUSED or self.UNPAUSABLE:
self.RESTART.run_sprite(screen, self)
# If the game is in the unpausable state, restart button chases mouse
if self.UNPAUSABLE:
y = pygame.mouse.get_pos()[1] - self.RESTART.pos[1]
x = pygame.mouse.get_pos()[0] - self.RESTART.pos[0]
h = math.sqrt(y ** 2 + x ** 2)
y = (y / h) * 1.5
x = (x / h) * 1.5
self.RESTART.vel = (x, y)
if self.PAUSED:
if not (self.WIN or self.LOSS):
self.BACK.run_sprite(screen, self)
if self.WIN:
screen.blit(self.WIN_TEXT, self.WIN_TEXT.get_rect(center=(SIZE[0] / 2, SIZE[1] / 5)))
elif self.LOSS:
screen.blit(self.LOSS_TEXT, self.LOSS_TEXT.get_rect(center=(SIZE[0] / 2, SIZE[1] / 5)))
else:
screen.blit(self.PAUSED_TEXT, self.PAUSED_TEXT.get_rect(center=(SIZE[0] / 2, SIZE[1] / 7)))
if not self.UNPAUSABLE:
self.PAUSE.run_sprite(screen, self)
# Win conditions
if self.PLY.health <= 0:
self.LOSS = True
self.PAUSED = True
elif self.BOSS.health <= 0:
self.WIN = True
self.PAUSED = True
# Runs object updater
if not self.PAUSED and not self.IS_CUTSCENE:
self.update_objects()
def update_objects(self):
# Decreases lifetime for all objects
for obj in self.BULLETS + self.SLASHES + self.OTHER:
obj.lifetime -= 1
# Removes dead objects by kill flag or by lifetime count
self.BULLETS = [b for b in self.BULLETS if not b.kill and b.lifetime > 0]
self.SLASHES = [s for s in self.SLASHES if not s.kill and s.lifetime > 0]
self.OTHER = [o for o in self.OTHER if not o.kill and o.lifetime > 0]
# Removes objects in delete queues
for b in self.bullet_dq:
self.BULLETS.remove(b)
for s in self.slash_dq:
self.SLASHES.remove(s)
for o in self.other_dq:
self.OTHER.remove(o)
# Adds new objects
for b in self.bullet_q:
self.BULLETS.append(b)
for s in self.slash_q:
self.SLASHES.append(s)
for o in self.other_q:
self.OTHER.append(o)
# Clears queues
self.bullet_q = []
self.bullet_dq = []
self.slash_q = []
self.slash_dq = []
self.other_q = []
self.other_dq = []
# Add and delete methods for all object types
def add_bullet(self, bullet):
self.bullet_q.append(bullet)
def add_slash(self, slash):
self.slash_q.append(slash)
def add_other(self, other):
self.other_q.append(other)
def delete_bullet(self, bullet):
self.bullet_dq.append(bullet)
def delete_slash(self, slash):
self.slash_dq.append(slash)
def delete_other(self, other):
self.other_dq.append(other)
class Object:
def __init__(self, lifetime, z_order, tags):
self.lifetime = lifetime
self.kill = False
# Draw order
self.z_order = z_order
# Set of string tags that can identify an object
self.tags = set(tags)
@staticmethod
def rotate(image, rect, angle):
"""Rotate the image while keeping its center."""
# Rotate the original image without modifying it.
new_image = pygame.transform.rotate(image, angle)
# Get a new rect with the center of the old rect.
rect = new_image.get_rect(center=rect.center)
return new_image, rect
def run_sprite(self, screen, game):
self.render(screen, game)
if not game.PAUSED and not game.IS_CUTSCENE:
self.update(screen, game)
def render(self, screen, game):
pass
def update(self, screen, game):
pass
class Button(Object):
BUTTON_GRAVITY = 0.2
def __init__(self, pos, vel, size, image):
super().__init__(0, 0, {})
# Position of center of button.
self.pos = list(pos)
self.vel = list(vel)
# For popping effect when knocked out of pause menu
self.height = 0
self.height_vel = 0
# Width/height of image and the loaded image.
self.size = size
self.image = pygame.transform.scale(image, (size[0], size[1]))
self.button_rect = self.image.get_rect(center=self.pos)
self.button_state = "static"
def run_sprite(self, screen, game):
self.render(screen, game)
self.update(screen, game)
def render(self, screen, game):
screen.blit(self.image, self.button_rect)
def update(self, screen, game):
self.pos[0] += self.vel[0]
self.pos[1] += self.vel[1]
self.height += self.height_vel
self.height_vel -= Button.BUTTON_GRAVITY
if self.height < 0:
self.height = 0
self.height_vel = 0
self.button_rect.center = (self.pos[0], self.pos[1] - self.height)
def jump(self, height_vel):
self.height_vel = height_vel
def is_clicked(self, pos):
return self.button_rect.collidepoint(pos)
class Boss(Object):
SPEED = 2
def __init__(self, lifetime, z_order):
super().__init__(lifetime, z_order, {})
self.pos = [SIZE[1] / 4, SIZE[1] / 2]
self.radius = 20
self.color = (255, 0, 0)
self.vel = [0, 0]
self.dialogue_queue = [] # {"text": "hello", "delay": 5, "total_lifetime": 40}
self.current_text_idx = [0]
self.rendered_texts = []
self.current_text = []
self.full_health = 5000
self.health = 0
self.health_text = None
self.update_health(self.full_health)
# Always counts down if above 0. Only shows hp above zero. Increase when taken damage to show hp
self.show_hp = 100
self.textbox_surf = pygame.Surface((self.radius * 7, self.radius * 5), pygame.SRCALPHA, 32)
pygame.draw.rect(self.textbox_surf, (200, 200, 200), pygame.Rect(0, 0, self.radius * 7, self.radius * 4.5))
pygame.draw.polygon(self.textbox_surf, (200, 200, 200), ((self.radius*3, self.radius * 4.5), (self.radius*4, self.radius * 4.5), (self.radius*3.5, self.radius*5)))
self.textbox_surf = self.textbox_surf.convert_alpha()
self.dialogue_size = self.radius * .7
self.dialogue_font = get_arial_font(int(self.dialogue_size))
self.dialogue_gap = self.radius * .05
self.dialogue_max_line_width = self.textbox_surf.get_rect().width * 0.8
def add_dialogue(self, text, delay, extra_lifetime):
self.dialogue_queue.append({"text": text, "delay": delay, "total_lifetime": len(text) + extra_lifetime})
def clear_dialogue(self):
self.dialogue_queue = []
def run_sprite(self, screen, game):
self.render(screen, game)
if not game.PAUSED and not game.IS_CUTSCENE:
self.update(screen, game)
self.run_dialogue(screen, game)
def run_dialogue(self, screen, game):
# Resets text
if not len(self.dialogue_queue):
self.current_text_idx = [0]
self.rendered_texts = []
self.current_text = []
else:
cur_dial = self.dialogue_queue[0]
text = cur_dial["text"]
# Calculates text
if not len(self.current_text):
split_words = text.split()
split_words = [i if idx == len(split_words) - 1 else (i + " ") for idx, i in enumerate(split_words)]
while True:
# Is the inner loop done
finish_inner = False
# The word at which to end slicing
word_cutoff = 1
if not len(split_words):
break
while not finish_inner:
# Gets all words up to word_cutoff and strips the last word removing the trailing space
current_line = split_words[:word_cutoff]
current_line[-1] = current_line[-1].strip()
# Checks how long this modified line is
line_length = self.dialogue_font.size("".join(current_line))[0]
# If the modified line is too long or the end of the list has been reached:
if line_length > self.dialogue_max_line_width or word_cutoff > len(split_words):
# Go back a step to the word cut_off where it wasnt too long
word_cutoff -= 1
# Recreate that old line
current_line = split_words[:word_cutoff]
current_line[-1] = current_line[-1].strip()
# Add the new line to the dialogue list
self.current_text.append("".join(current_line))
# Remove the added line by slicing up to the word count
split_words = split_words[word_cutoff:]
# End the inner loop
finish_inner = True
else:
# If all is good, move to next word
word_cutoff += 1
# Shifts letter
if ticks % cur_dial["delay"] == 0:
# Deals with indexing of the current letter in each sentence
self.current_text_idx[-1] += 1
if not len(self.current_text_idx) > len(self.current_text):
if self.current_text_idx[-1] >= len(self.current_text[len(self.current_text_idx) - 1]):
self.current_text_idx[-1] -= 1
self.current_text_idx.append(0)
if not len(self.current_text_idx) > len(self.current_text):
# Renders new text
self.rendered_texts = []
for idx, i in enumerate(self.current_text_idx):
self.rendered_texts.append(self.dialogue_font.render(self.current_text[idx][:i+1], True, (20, 0, 0)))
# Deletes
if sum(self.current_text_idx) >= cur_dial["total_lifetime"]:
self.dialogue_queue.pop(0)
self.current_text_idx = [0]
self.rendered_texts = []
self.current_text = []
def render(self, screen, game):
pygame.draw.circle(screen, self.color, self.pos, self.radius)
if self.show_hp > 0:
screen.blit(self.health_text, self.health_text.get_rect(center=(self.pos[0], self.pos[1] + self.radius*1.5)))
if len(self.dialogue_queue):
# Render text box
screen.blit(self.textbox_surf, self.textbox_surf.get_rect(center=(self.pos[0], self.pos[1] - self.radius*3.5)))
# Render text
if len(self.rendered_texts):
dialogue_box_center_height = self.pos[1] - self.radius * 3.5
total_height = len(self.rendered_texts) * (self.dialogue_size + self.dialogue_gap)
shift_back_constant = self.dialogue_size / 2 + self.dialogue_gap
start_height = dialogue_box_center_height - (total_height / 2)
for i in range(len(self.rendered_texts)):
screen.blit(self.rendered_texts[i], self.rendered_texts[i].get_rect(center=(self.pos[0], start_height + (self.dialogue_size + self.dialogue_gap) * (i + 1) - shift_back_constant)))
def update_health(self, health):
self.health = health
self.health_text = get_arial_font(13).render(str(self.health), True, (225, 0, 0))
def take_damage(self, game, damage):
self.update_health(self.health - damage)
game.add_other(InflateSurface(200, 0, {}, get_damage_surface(damage), .5, 1.5, 50, copy.copy(self.pos), True, vel=(random.randint(-10, 10) / 10, -2)))
self.show_hp = 100
game.damage_accum += 20
def update(self, screen, game):
self.run_AI(screen, game)
self.update_physics(screen, game)
def update_physics(self, screen, game):
self.pos[0] += self.vel[0] * self.SPEED
self.pos[1] += self.vel[1] * self.SPEED
if self.show_hp > 0:
self.show_hp -= 1
def run_AI(self, screen, game):
x = game.PLY.pos[0] + game.PLY.vel[0] * 50 - self.pos[0]
y = game.PLY.pos[1] + game.PLY.vel[1] * 50 - self.pos[1]
h = math.sqrt(y ** 2 + x ** 2)
try:
x = (x / h) * 5
y = (y / h) * 5
except:
x = 0
y = 0
x += random.uniform(-1, 1)
y += random.uniform(-1, 1)
if ticks % 5 == 0:
if distance(self.pos, game.PLY.pos) < (self.radius + game.PLY.radius) * 4:
game.add_slash(Slash(False, (100, 0, 100), [self.pos[0] + x*10, self.pos[1] + y*10]))
else:
game.add_bullet(Bullet(copy.copy(self.pos), (x, y), False))
self.vel = [0, 0]
vel = [game.PLY.pos[0] - self.pos[0], game.PLY.pos[1] - self.pos[1]]
try:
vel = [vel[0] / math.sqrt(vel[0] ** 2 + vel[1] ** 2), vel[1] / math.sqrt(vel[0] ** 2 + vel[1] ** 2)]
except:
vel = [0, 0]
self.vel[0] += vel[0]
self.vel[1] += vel[1]
count = 0
for bullet in game.BULLETS:
if bullet.isPlayer:
a = +bullet.vel[1]
b = -bullet.vel[0]
c = +bullet.vel[0] * bullet.pos[1] - bullet.vel[1] * bullet.pos[0]
x = (b * (+b * self.pos[0] - a * self.pos[1]) - a * c) / (a ** 2 + b ** 2)
y = (a * (-b * self.pos[0] + a * self.pos[1]) - b * c) / (a ** 2 + b ** 2)
dist = distance(self.pos, [x, y])
if dist < (self.radius + bullet.radius) * 1.5:
count += 1
vel = [x - self.pos[0], y - self.pos[1]]
try:
vel = [vel[0] / math.sqrt(vel[0] ** 2 + vel[1] ** 2),
vel[1] / math.sqrt(vel[0] ** 2 + vel[1] ** 2)]
except:
vel = [0, 0]
self.vel[0] += -vel[0] / count
self.vel[1] += -vel[1] / count
class Player(Object):
SPEED = 4
def __init__(self, lifetime, z_order):
super().__init__(lifetime, z_order, {})
self.pos = [SIZE[1] * 0.75, SIZE[1] / 2]
self.radius = 10
self.color = (0, 0, 0)
self.vel = [0, 0]
self.health = 0
self.health_text = None
self.update_health(2000)
# Always counts down if above 0. Only shows hp above zero. Increase when taken damage to show hp
self.show_hp = 100
# Mouse can be locked to a certain position
self.is_mouse_bound = False
self.mouse_bind_pos = (300, 300)
def render(self, screen, game):
pygame.draw.circle(screen, self.color, self.pos, self.radius)
if self.show_hp > 0:
screen.blit(self.health_text, self.health_text.get_rect(center=(self.pos[0], self.pos[1] + self.radius*1.5)))
def update_health(self, health):
self.health = health
self.health_text = get_arial_font(10).render(str(self.health), True, (200, 0, 0))
def bind_mouse(self, pos):
self.is_mouse_bound = True
self.mouse_bind_pos = tuple(pos)
def unbind_mouse(self):
self.is_mouse_bound = False
def take_damage(self, game, damage):
self.update_health(self.health - damage)
game.add_other(InflateSurface(200, 0, {}, get_damage_surface(damage), .5, 1.5, 50, copy.copy(self.pos), True, vel=(random.randint(-10, 10) / 10, -2)))
self.show_hp = 100
def update(self, screen, game):
self.pos[0] += self.vel[0]
self.pos[1] += self.vel[1]
if self.show_hp > 0:
self.show_hp -= 1
self.event_handle(screen, game)
# Bind the mouse to a certain location
if self.is_mouse_bound:
pygame.mouse.set_pos(self.mouse_bind_pos)
# Draws binding circles every 5 ticks (visual effect)
if ticks % 15 == 0:
game.add_other(BindCircle(self.mouse_bind_pos))
def event_handle(self, screen, game):
for event in events:
if event.type == pygame.MOUSEBUTTONDOWN:
# Shooty shoot
if event.button == pygame.BUTTON_LEFT:
y = event.pos[1] - self.pos[1]
x = event.pos[0] - self.pos[0]
h = math.sqrt(y ** 2 + x ** 2)
y = (y / h) * 5
x = (x / h) * 5
game.add_bullet(Bullet(copy.copy(self.pos), (x + self.vel[0]*.1, y + self.vel[1]*.1), True))
# Slashy Slash
elif event.button == pygame.BUTTON_RIGHT:
mouse_pos = pygame.mouse.get_pos()
y = mouse_pos[1] - self.pos[1]
x = mouse_pos[0] - self.pos[0]
h = math.sqrt(y ** 2 + x ** 2)
y = (y / h) * 20
x = (x / h) * 20
game.add_slash(Slash(True, (100, 100, 0), [self.pos[0] + x, self.pos[1] + y]))
# ASWD Movement
self.vel = [(-self.SPEED if pygame.key.get_pressed()[pygame.K_a] else 0) + (self.SPEED if pygame.key.get_pressed()[pygame.K_d] else 0),
(self.SPEED if pygame.key.get_pressed()[pygame.K_s] else 0) + (-self.SPEED if pygame.key.get_pressed()[pygame.K_w] else 0)]
class Bullet(Object):
def __init__(self, pos, vel, isPlayerBullet):
super().__init__(150, 0, {})
self.isPlayer = isPlayerBullet
self.pos = list(pos)
self.radius = 3
self.color_bs = (150, 0, 0)
self.color_pl = (200, 200, 0)
self.vel = list(vel)
def update(self, screen, game):
self.pos[0] += self.vel[0]
self.pos[1] += self.vel[1]
# Collision Logic
if self.isPlayer:
if distance(self.pos, game.BOSS.pos) <= game.BOSS.radius + self.radius:
game.BOSS.take_damage(game, random.randint(20, 55))
game.delete_bullet(self)
else:
if distance(self.pos, game.PLY.pos) <= game.PLY.radius + self.radius:
game.PLY.take_damage(game, random.randint(5, 35))
game.delete_bullet(self)
def render(self, screen, game):
pygame.draw.circle(screen, self.color_pl if self.isPlayer else self.color_bs, self.pos, self.radius)
class InflateSurface(Object):
def __init__(self, lifetime, z_order, tags, surface, start_scale, stop_scale, scale_time, pos, fade=False,
initial_opacity=255, delay_inflation=0, vel=(0, 0), angle_vel=0.0):
super().__init__(lifetime, z_order, tags)
self.surface_rect = surface.get_rect()
self.pos = list(pos)
self.vel = vel
self.angle = 0
self.angle_vel = angle_vel
self.start_scale = (self.surface_rect.w * start_scale, self.surface_rect.h * start_scale)
self.stop_scale = (self.surface_rect.w * stop_scale, self.surface_rect.h * stop_scale)
self.scale_time = scale_time
self.current_scale = list(copy.copy(self.start_scale))
self.scale_increment = ((self.stop_scale[0] - self.start_scale[0]) / self.scale_time,
(self.stop_scale[1] - self.start_scale[1]) / self.scale_time)
self.surface = pygame.Surface(self.surface_rect.size, pygame.SRCALPHA, 32).convert_alpha()
self.surface.blit(surface, (0, 0))
self.opacity = initial_opacity
self.fade_increment = (self.opacity + 1) / self.scale_time
self.fade = fade
# Delays inflation for a given amount of time
self.delay_inflation = delay_inflation
def update(self, screen, game):
if self.delay_inflation == 0:
if self.current_scale[0] < self.stop_scale[0]:
self.current_scale[0] += self.scale_increment[0]
self.current_scale[1] += self.scale_increment[1]
if self.fade:
self.opacity -= self.fade_increment
if self.angle_vel:
self.angle += self.angle_vel
self.pos[0] += self.vel[0]
self.pos[1] += self.vel[1]
self.more_logic(screen, game)
else:
self.delay_inflation -= 1
def more_logic(self, screen, game):
pass
def render(self, screen, game):
if self.opacity > 0:
new_surf = pygame.transform.scale(self.surface, [int(x) for x in self.current_scale]).convert_alpha()
if self.angle_vel:
new_surf = pygame.transform.rotate(new_surf, self.angle).convert_alpha()
rect = new_surf.get_rect()
rect.center = self.pos
if self.fade:
new_surf.fill((255, 255, 255, self.opacity if self.opacity >= 0 else 0), None, pygame.BLEND_RGBA_MULT)
screen.blit(new_surf, rect)
class Slash(InflateSurface):
def __init__(self, isPlayerSlash, color, pos):
surf = pygame.Surface((160, 160), pygame.SRCALPHA, 32).convert_alpha()
pygame.draw.circle(surf, color, (80, 80), 80)
super().__init__(200, 5, {}, surf, .01, 1, 30, pos, True)
self.isPlayer = isPlayerSlash
self.has_hit = False
def more_logic(self, screen, game):
# Collision logic
if not self.has_hit:
if self.isPlayer:
if distance(self.pos, game.BOSS.pos) <= game.BOSS.radius + self.surface_rect.width / 3:
game.BOSS.take_damage(game, random.randint(25, 80))
self.has_hit = True
else:
if distance(self.pos, game.PLY.pos) <= game.PLY.radius + self.surface_rect.width / 3:
game.PLY.take_damage(game, random.randint(5, 80))
self.has_hit = True
class BindCircle(InflateSurface):
def __init__(self, pos):
surf = pygame.Surface((50, 50), pygame.SRCALPHA, 32).convert_alpha()
pygame.draw.circle(surf, (0, 0, 255), (25, 25), 25, 2)
super().__init__(100, 5, {}, surf, .6, 1.2, 28, pos, True, initial_opacity=150)
class Laser(InflateSurface):
def __init__(self, start, end):
size = abs(end[0] - start[0]), abs(end[1] - start[1])
surf = pygame.Surface(size, pygame.SRCALPHA, 32)
new_start = [0, 0]
new_end = [0, 0]
if end[1] > start[1]:
new_end[1] = size[1]
new_start[1] = 0
else:
new_end[1] = 0
new_start[1] = size[1]
if end[0] > start[0]:
new_end[0] = size[0]
new_start[0] = 0
else:
new_end[0] = 0
new_start[0] = size[0]
pygame.draw.line(surf, (255, 0, 0), new_start, new_end, 5)
surf = surf.convert_alpha()
super().__init__(100, -1, {}, surf, 1, 1, 50, (start[0] + (end[0] - start[0]) / 2, start[1] + (end[1] - start[1]) / 2), fade=True)
# Cuts the given surface in half and returns 2 flying inflating surfaces for the halves
def fragmentate(surf, center):
height = surf.get_height()
width = surf.get_width() / 2
pos1 = center[0] - width / 2, center[1]
pos2 = center[0] + width / 2, center[1]
surface1 = pygame.Surface((width, height), pygame.SRCALPHA, 32)
surface1.blit(surf, (0, 0))
surface1 = surface1.convert_alpha()
surface2 = pygame.Surface((width, height), pygame.SRCALPHA, 32)
surface2.blit(surf, (-width, 0))
surface2 = surface2.convert_alpha()
return (InflateSurface(150, -1, {}, surface1, 1, 1.2, 100, pos1, fade=True, angle_vel=(random.randint(-30, 30) / 10)),
InflateSurface(150, -1, {}, surface2, 1, 1.2, 100, pos2, fade=True, angle_vel=(random.randint(-30, 30) / 10)))
def distance(p, q):
return math.sqrt((q[0] - p[0]) ** 2 + (q[1] - p[1]) ** 2)
def get_arial_font(size):
return pygame.font.SysFont("Arial", size, False)
def get_arial_font_bold(size):
return pygame.font.SysFont("Arial", size, True)
def get_damage_surface(damage):
return get_arial_font_bold(int(20 + damage / 30)).render(str(damage), True, (255, 0, 0))
fps = 0
last_fps_show = 0
clock = pygame.time.Clock()
SIZE = (600, 600)
screen = pygame.display.set_mode(SIZE)
GAME = Game()
running = True
events = []
ticks = 0
set_4th_wall = False
player_hp_store = 0
def set_4th_wall_toggle(bool, player_hp):
global set_4th_wall, player_hp_store
set_4th_wall = bool
player_hp_store = player_hp
while running:
screen.fill((255, 255, 255))
events = pygame.event.get()
for event in events:
if event.type == pygame.QUIT or (event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE):
running = False
GAME.run_game(screen)
pygame.display.update()
ticks += 1
if GAME.RESET_GAME:
if set_4th_wall:
GAME = Game(set_4th_wall, player_hp_store)
set_4th_wall = False
else:
GAME = Game()
# sets fps to a variable. can be set to caption any time for testing.
last_fps_show += 1
if last_fps_show == 30: # every 30th frame:
fps = clock.get_fps()
pygame.display.set_caption("FPS: " + str(fps))
last_fps_show = 0
# fps max 60
clock.tick(60)
| [
"panasaleksey3@gmail.com"
] | panasaleksey3@gmail.com |
a27d7d0745d6d09b855f6a9cb674255fdb6a1ffa | d1b14f6a72c8a716594117143080fab004e937b0 | /leetcode/LC1290.py | 55f3df89e08487ad673f83b2fb2f88fafc65fcd4 | [
"MIT"
] | permissive | vgb-codes/leetcode-cp-solutions | 738a84a7e83ea323710c81477115ea540be4cf3e | f1953b10bf2854bc01a6fc18b300e4e2671291c7 | refs/heads/master | 2023-05-12T15:48:15.800467 | 2021-05-26T07:41:42 | 2021-05-26T07:41:42 | 260,933,699 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 329 | py | class Node:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def getDecimalValue(self, head: Node) -> int:
num = head.val
while head.next:
num = num << 1
num = num | head.next.val
head = head.next
return num | [
"vijaya.gajanan@outlook.com"
] | vijaya.gajanan@outlook.com |
28695cb41961f9b7f6d93c97584d9999c98e5d78 | cb4c67ff2ad27834bed67f7e920a12fb1c545fcd | /tensorflow/python/keras/callbacks.py | f2feeb85a1e0db976a1c29e47257558ba40cc856 | [
"Apache-2.0"
] | permissive | ahoneybun/tensorflow | b67668cc0d9375eaab3bee4ed0791626f6eac02d | 5134e65300d1ac384eeb1f4ca72a011ad7225bc8 | refs/heads/master | 2020-03-26T00:53:51.554467 | 2018-08-13T13:36:55 | 2018-08-13T13:36:55 | 144,342,477 | 0 | 0 | Apache-2.0 | 2018-08-13T13:36:56 | 2018-08-11T00:07:43 | C++ | UTF-8 | Python | false | false | 51,653 | py | # Copyright 2015 The TensorFlow 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 agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# pylint: disable=g-import-not-at-top
"""Callbacks: utilities called at certain points during model training.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import deque
from collections import Iterable
from collections import OrderedDict
import copy
import csv
import json
import math
import os
import time
import numpy as np
import six
from tensorflow.python.data.ops import iterator_ops
from tensorflow.python.eager import context
from tensorflow.python.framework import dtypes
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.engine.training_utils import standardize_input_data
from tensorflow.python.keras.utils.data_utils import Sequence
from tensorflow.python.keras.utils.generic_utils import Progbar
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import state_ops
from tensorflow.python.ops import summary_ops_v2
from tensorflow.python.ops import variables
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.summary import summary as tf_summary
from tensorflow.python.training import saver
from tensorflow.python.util.tf_export import tf_export
try:
import requests
except ImportError:
requests = None
def configure_callbacks(callbacks,
model,
do_validation=False,
val_inputs=None,
val_targets=None,
val_sample_weights=None,
batch_size=None,
epochs=None,
steps_per_epoch=None,
samples=None,
validation_steps=None,
verbose=1,
count_mode='steps'):
"""Configures callbacks for use in various training loops.
Arguments:
callbacks: List of Callbacks.
model: Model being trained.
do_validation: Whether or not validation loop will be run.
val_inputs: Inputs to Model for validation loop. Can be any
data format Keras accepts.
val_targets: Targets for Model for validation loop. Can be any
data format Keras accepts.
val_sample_weights: Sample weights for Model for validation loop.
Can be any data format Keras accepts.
batch_size: Number of samples per batch.
epochs: Number of epoch to train.
steps_per_epoch: Number of batches to run per training epoch.
samples: Number of training samples.
validation_steps: Number of batches to run per validation epoch.
verbose: int, 0 or 1. Keras logging verbosity to pass to ProgbarLogger.
count_mode: One of 'steps' or 'samples'. Per-batch or per-sample count.
Returns:
Instance of CallbackList used to control all Callbacks.
"""
# Add additional callbacks
model.history = History()
stateful_metric_names = None
if hasattr(model, 'stateful_metric_names'):
stateful_metric_names = model.stateful_metric_names
callbacks = [BaseLogger(stateful_metrics=stateful_metric_names)
] + (callbacks or []) + [model.history]
if verbose:
callbacks.append(
ProgbarLogger(count_mode, stateful_metrics=stateful_metric_names))
callback_list = CallbackList(callbacks)
# Set callback model
callback_model = model._get_callback_model() # pylint: disable=protected-access
if do_validation and val_inputs and not context.executing_eagerly():
# Need to create the test_function before start of the first epoch
# because TensorBoard callback on_epoch_begin adds summary to the
# list of fetches of the test_function
callback_model._make_test_function() # pylint: disable=protected-access
callback_list.set_model(callback_model)
# Set callback parameters
callback_metrics = []
# When we have deferred build scenario with iterator input, we will compile
# when we standardize first batch of data.
if model._is_compiled: # pylint: disable=protected-access
callback_metrics = copy.copy(model.metrics_names)
if do_validation:
callback_metrics += ['val_' + n for n in model.metrics_names]
if validation_steps is None and isinstance(val_inputs, Sequence):
validation_steps = len(val_inputs)
callback_params = {
'batch_size': batch_size,
'epochs': epochs,
'steps': steps_per_epoch,
'samples': samples,
'verbose': verbose,
'do_validation': do_validation,
'metrics': callback_metrics,
'validation_steps': validation_steps
}
callback_list.set_params(callback_params)
# Pass validation data to callbacks
if not val_inputs:
val_data = []
elif _is_generator_like(val_inputs):
val_data = val_inputs
else:
val_data = val_inputs + val_targets
if val_sample_weights:
val_data += val_sample_weights
if model.uses_learning_phase and not isinstance(K.learning_phase(), int):
val_data += [0.]
for cbk in callbacks:
cbk.validation_data = val_data
callback_list.model.stop_training = False
return callback_list
def _is_generator_like(data):
"""Checks if data is a generator, Sequence, or Iterator."""
return (hasattr(data, 'next') or hasattr(data, '__next__') or isinstance(
data, (Sequence, iterator_ops.Iterator, iterator_ops.EagerIterator)))
class CallbackList(object):
"""Container abstracting a list of callbacks.
Arguments:
callbacks: List of `Callback` instances.
queue_length: Queue length for keeping
running statistics over callback execution time.
"""
def __init__(self, callbacks=None, queue_length=10):
callbacks = callbacks or []
self.callbacks = [c for c in callbacks]
self.queue_length = queue_length
self.params = {}
self.model = None
def append(self, callback):
self.callbacks.append(callback)
def set_params(self, params):
self.params = params
for callback in self.callbacks:
callback.set_params(params)
def set_model(self, model):
self.model = model
for callback in self.callbacks:
callback.set_model(model)
def on_epoch_begin(self, epoch, logs=None):
"""Called at the start of an epoch.
Arguments:
epoch: integer, index of epoch.
logs: dictionary of logs.
"""
logs = logs or {}
for callback in self.callbacks:
callback.on_epoch_begin(epoch, logs)
self._delta_t_batch = 0.
self._delta_ts_batch_begin = deque([], maxlen=self.queue_length)
self._delta_ts_batch_end = deque([], maxlen=self.queue_length)
def on_epoch_end(self, epoch, logs=None):
"""Called at the end of an epoch.
Arguments:
epoch: integer, index of epoch.
logs: dictionary of logs.
"""
logs = logs or {}
for callback in self.callbacks:
callback.on_epoch_end(epoch, logs)
def on_batch_begin(self, batch, logs=None):
"""Called right before processing a batch.
Arguments:
batch: integer, index of batch within the current epoch.
logs: dictionary of logs.
"""
logs = logs or {}
t_before_callbacks = time.time()
for callback in self.callbacks:
callback.on_batch_begin(batch, logs)
self._delta_ts_batch_begin.append(time.time() - t_before_callbacks)
delta_t_median = np.median(self._delta_ts_batch_begin)
if (self._delta_t_batch > 0. and
delta_t_median > 0.95 * self._delta_t_batch and delta_t_median > 0.1):
logging.warning('Method on_batch_begin() is slow compared '
'to the batch update (%f). Check your callbacks.',
delta_t_median)
self._t_enter_batch = time.time()
def on_batch_end(self, batch, logs=None):
"""Called at the end of a batch.
Arguments:
batch: integer, index of batch within the current epoch.
logs: dictionary of logs.
"""
logs = logs or {}
if not hasattr(self, '_t_enter_batch'):
self._t_enter_batch = time.time()
self._delta_t_batch = time.time() - self._t_enter_batch
t_before_callbacks = time.time()
for callback in self.callbacks:
callback.on_batch_end(batch, logs)
self._delta_ts_batch_end.append(time.time() - t_before_callbacks)
delta_t_median = np.median(self._delta_ts_batch_end)
if (self._delta_t_batch > 0. and
(delta_t_median > 0.95 * self._delta_t_batch and delta_t_median > 0.1)):
logging.warning('Method on_batch_end() is slow compared '
'to the batch update (%f). Check your callbacks.',
delta_t_median)
def on_train_begin(self, logs=None):
"""Called at the beginning of training.
Arguments:
logs: dictionary of logs.
"""
logs = logs or {}
for callback in self.callbacks:
callback.on_train_begin(logs)
def on_train_end(self, logs=None):
"""Called at the end of training.
Arguments:
logs: dictionary of logs.
"""
logs = logs or {}
for callback in self.callbacks:
callback.on_train_end(logs)
def __iter__(self):
return iter(self.callbacks)
@tf_export('keras.callbacks.Callback')
class Callback(object):
"""Abstract base class used to build new callbacks.
Attributes:
params: dict. Training parameters
(eg. verbosity, batch size, number of epochs...).
model: instance of `keras.models.Model`.
Reference of the model being trained.
The `logs` dictionary that callback methods
take as argument will contain keys for quantities relevant to
the current batch or epoch.
Currently, the `.fit()` method of the `Sequential` model class
will include the following quantities in the `logs` that
it passes to its callbacks:
on_epoch_end: logs include `acc` and `loss`, and
optionally include `val_loss`
(if validation is enabled in `fit`), and `val_acc`
(if validation and accuracy monitoring are enabled).
on_batch_begin: logs include `size`,
the number of samples in the current batch.
on_batch_end: logs include `loss`, and optionally `acc`
(if accuracy monitoring is enabled).
"""
def __init__(self):
self.validation_data = None
self.model = None
def set_params(self, params):
self.params = params
def set_model(self, model):
self.model = model
def on_epoch_begin(self, epoch, logs=None):
pass
def on_epoch_end(self, epoch, logs=None):
pass
def on_batch_begin(self, batch, logs=None):
pass
def on_batch_end(self, batch, logs=None):
pass
def on_train_begin(self, logs=None):
pass
def on_train_end(self, logs=None):
pass
@tf_export('keras.callbacks.BaseLogger')
class BaseLogger(Callback):
"""Callback that accumulates epoch averages of metrics.
This callback is automatically applied to every Keras model.
Arguments:
stateful_metrics: Iterable of string names of metrics that
should *not* be averaged over an epoch.
Metrics in this list will be logged as-is in `on_epoch_end`.
All others will be averaged in `on_epoch_end`.
"""
def __init__(self, stateful_metrics=None):
super(BaseLogger, self).__init__()
self.stateful_metrics = set(stateful_metrics or [])
def on_epoch_begin(self, epoch, logs=None):
self.seen = 0
self.totals = {}
def on_batch_end(self, batch, logs=None):
logs = logs or {}
batch_size = logs.get('size', 0)
self.seen += batch_size
for k, v in logs.items():
if k in self.stateful_metrics:
self.totals[k] = v
else:
if k in self.totals:
self.totals[k] += v * batch_size
else:
self.totals[k] = v * batch_size
def on_epoch_end(self, epoch, logs=None):
if logs is not None:
for k in self.params['metrics']:
if k in self.totals:
# Make value available to next callbacks.
if k in self.stateful_metrics:
logs[k] = self.totals[k]
else:
logs[k] = self.totals[k] / self.seen
@tf_export('keras.callbacks.TerminateOnNaN')
class TerminateOnNaN(Callback):
"""Callback that terminates training when a NaN loss is encountered.
"""
def on_batch_end(self, batch, logs=None):
logs = logs or {}
loss = logs.get('loss')
if loss is not None:
if np.isnan(loss) or np.isinf(loss):
print('Batch %d: Invalid loss, terminating training' % (batch))
self.model.stop_training = True
@tf_export('keras.callbacks.ProgbarLogger')
class ProgbarLogger(Callback):
"""Callback that prints metrics to stdout.
Arguments:
count_mode: One of "steps" or "samples".
Whether the progress bar should
count samples seen or steps (batches) seen.
stateful_metrics: Iterable of string names of metrics that
should *not* be averaged over an epoch.
Metrics in this list will be logged as-is.
All others will be averaged over time (e.g. loss, etc).
Raises:
ValueError: In case of invalid `count_mode`.
"""
def __init__(self, count_mode='samples', stateful_metrics=None):
super(ProgbarLogger, self).__init__()
if count_mode == 'samples':
self.use_steps = False
elif count_mode == 'steps':
self.use_steps = True
else:
raise ValueError('Unknown `count_mode`: ' + str(count_mode))
self.stateful_metrics = set(stateful_metrics or [])
def on_train_begin(self, logs=None):
self.verbose = self.params['verbose']
self.epochs = self.params['epochs']
def on_epoch_begin(self, epoch, logs=None):
if self.verbose:
print('Epoch %d/%d' % (epoch + 1, self.epochs))
if self.use_steps:
target = self.params['steps']
else:
target = self.params['samples']
self.target = target
self.progbar = Progbar(
target=self.target,
verbose=self.verbose,
stateful_metrics=self.stateful_metrics)
self.seen = 0
def on_batch_begin(self, batch, logs=None):
if self.seen < self.target:
self.log_values = []
def on_batch_end(self, batch, logs=None):
logs = logs or {}
batch_size = logs.get('size', 0)
if self.use_steps:
self.seen += 1
else:
self.seen += batch_size
for k in self.params['metrics']:
if k in logs:
self.log_values.append((k, logs[k]))
# Skip progbar update for the last batch;
# will be handled by on_epoch_end.
if self.verbose and self.seen < self.target:
self.progbar.update(self.seen, self.log_values)
def on_epoch_end(self, epoch, logs=None):
logs = logs or {}
for k in self.params['metrics']:
if k in logs:
self.log_values.append((k, logs[k]))
if self.verbose:
self.progbar.update(self.seen, self.log_values)
@tf_export('keras.callbacks.History')
class History(Callback):
"""Callback that records events into a `History` object.
This callback is automatically applied to
every Keras model. The `History` object
gets returned by the `fit` method of models.
"""
def on_train_begin(self, logs=None):
self.epoch = []
self.history = {}
def on_epoch_end(self, epoch, logs=None):
logs = logs or {}
self.epoch.append(epoch)
for k, v in logs.items():
self.history.setdefault(k, []).append(v)
@tf_export('keras.callbacks.ModelCheckpoint')
class ModelCheckpoint(Callback):
"""Save the model after every epoch.
`filepath` can contain named formatting options,
which will be filled the value of `epoch` and
keys in `logs` (passed in `on_epoch_end`).
For example: if `filepath` is `weights.{epoch:02d}-{val_loss:.2f}.hdf5`,
then the model checkpoints will be saved with the epoch number and
the validation loss in the filename.
Arguments:
filepath: string, path to save the model file.
monitor: quantity to monitor.
verbose: verbosity mode, 0 or 1.
save_best_only: if `save_best_only=True`,
the latest best model according to
the quantity monitored will not be overwritten.
mode: one of {auto, min, max}.
If `save_best_only=True`, the decision
to overwrite the current save file is made
based on either the maximization or the
minimization of the monitored quantity. For `val_acc`,
this should be `max`, for `val_loss` this should
be `min`, etc. In `auto` mode, the direction is
automatically inferred from the name of the monitored quantity.
save_weights_only: if True, then only the model's weights will be
saved (`model.save_weights(filepath)`), else the full model
is saved (`model.save(filepath)`).
period: Interval (number of epochs) between checkpoints.
"""
def __init__(self,
filepath,
monitor='val_loss',
verbose=0,
save_best_only=False,
save_weights_only=False,
mode='auto',
period=1):
super(ModelCheckpoint, self).__init__()
self.monitor = monitor
self.verbose = verbose
self.filepath = filepath
self.save_best_only = save_best_only
self.save_weights_only = save_weights_only
self.period = period
self.epochs_since_last_save = 0
if mode not in ['auto', 'min', 'max']:
logging.warning('ModelCheckpoint mode %s is unknown, '
'fallback to auto mode.', mode)
mode = 'auto'
if mode == 'min':
self.monitor_op = np.less
self.best = np.Inf
elif mode == 'max':
self.monitor_op = np.greater
self.best = -np.Inf
else:
if 'acc' in self.monitor or self.monitor.startswith('fmeasure'):
self.monitor_op = np.greater
self.best = -np.Inf
else:
self.monitor_op = np.less
self.best = np.Inf
def on_epoch_end(self, epoch, logs=None):
logs = logs or {}
self.epochs_since_last_save += 1
if self.epochs_since_last_save >= self.period:
self.epochs_since_last_save = 0
filepath = self.filepath.format(epoch=epoch + 1, **logs)
if self.save_best_only:
current = logs.get(self.monitor)
if current is None:
logging.warning('Can save best model only with %s available, '
'skipping.', self.monitor)
else:
if self.monitor_op(current, self.best):
if self.verbose > 0:
print('\nEpoch %05d: %s improved from %0.5f to %0.5f,'
' saving model to %s' % (epoch + 1, self.monitor, self.best,
current, filepath))
self.best = current
if self.save_weights_only:
self.model.save_weights(filepath, overwrite=True)
else:
self.model.save(filepath, overwrite=True)
else:
if self.verbose > 0:
print('\nEpoch %05d: %s did not improve from %0.5f' %
(epoch + 1, self.monitor, self.best))
else:
if self.verbose > 0:
print('\nEpoch %05d: saving model to %s' % (epoch + 1, filepath))
if self.save_weights_only:
self.model.save_weights(filepath, overwrite=True)
else:
self.model.save(filepath, overwrite=True)
@tf_export('keras.callbacks.EarlyStopping')
class EarlyStopping(Callback):
"""Stop training when a monitored quantity has stopped improving.
Arguments:
monitor: quantity to be monitored.
min_delta: minimum change in the monitored quantity
to qualify as an improvement, i.e. an absolute
change of less than min_delta, will count as no
improvement.
patience: number of epochs with no improvement
after which training will be stopped.
verbose: verbosity mode.
mode: one of {auto, min, max}. In `min` mode,
training will stop when the quantity
monitored has stopped decreasing; in `max`
mode it will stop when the quantity
monitored has stopped increasing; in `auto`
mode, the direction is automatically inferred
from the name of the monitored quantity.
baseline: baseline value for the monitored quantity.
Training will stop if the model doesn't show improvement over the
baseline.
"""
def __init__(self,
monitor='val_loss',
min_delta=0,
patience=0,
verbose=0,
mode='auto',
baseline=None):
super(EarlyStopping, self).__init__()
self.monitor = monitor
self.patience = patience
self.verbose = verbose
self.baseline = baseline
self.min_delta = abs(min_delta)
self.wait = 0
self.stopped_epoch = 0
if mode not in ['auto', 'min', 'max']:
logging.warning('EarlyStopping mode %s is unknown, '
'fallback to auto mode.', mode)
mode = 'auto'
if mode == 'min':
self.monitor_op = np.less
elif mode == 'max':
self.monitor_op = np.greater
else:
if 'acc' in self.monitor:
self.monitor_op = np.greater
else:
self.monitor_op = np.less
if self.monitor_op == np.greater:
self.min_delta *= 1
else:
self.min_delta *= -1
def on_train_begin(self, logs=None):
# Allow instances to be re-used
self.wait = 0
self.stopped_epoch = 0
if self.baseline is not None:
self.best = self.baseline
else:
self.best = np.Inf if self.monitor_op == np.less else -np.Inf
def on_epoch_end(self, epoch, logs=None):
current = logs.get(self.monitor)
if current is None:
logging.warning('Early stopping conditioned on metric `%s` '
'which is not available. Available metrics are: %s',
self.monitor, ','.join(list(logs.keys())))
return
if self.monitor_op(current - self.min_delta, self.best):
self.best = current
self.wait = 0
else:
self.wait += 1
if self.wait >= self.patience:
self.stopped_epoch = epoch
self.model.stop_training = True
def on_train_end(self, logs=None):
if self.stopped_epoch > 0 and self.verbose > 0:
print('Epoch %05d: early stopping' % (self.stopped_epoch + 1))
@tf_export('keras.callbacks.RemoteMonitor')
class RemoteMonitor(Callback):
"""Callback used to stream events to a server.
Requires the `requests` library.
Events are sent to `root + '/publish/epoch/end/'` by default. Calls are
HTTP POST, with a `data` argument which is a
JSON-encoded dictionary of event data.
If send_as_json is set to True, the content type of the request will be
application/json. Otherwise the serialized JSON will be sent within a form.
Arguments:
root: String; root url of the target server.
path: String; path relative to `root` to which the events will be sent.
field: String; JSON field under which the data will be stored.
The field is used only if the payload is sent within a form
(i.e. send_as_json is set to False).
headers: Dictionary; optional custom HTTP headers.
send_as_json: Boolean; whether the request should be
sent as application/json.
"""
def __init__(self,
root='http://localhost:9000',
path='/publish/epoch/end/',
field='data',
headers=None,
send_as_json=False):
super(RemoteMonitor, self).__init__()
self.root = root
self.path = path
self.field = field
self.headers = headers
self.send_as_json = send_as_json
def on_epoch_end(self, epoch, logs=None):
if requests is None:
raise ImportError('RemoteMonitor requires the `requests` library.')
logs = logs or {}
send = {}
send['epoch'] = epoch
for k, v in logs.items():
send[k] = v
try:
if self.send_as_json:
requests.post(self.root + self.path, json=send, headers=self.headers)
else:
requests.post(
self.root + self.path, {self.field: json.dumps(send)},
headers=self.headers)
except requests.exceptions.RequestException:
logging.warning('Warning: could not reach RemoteMonitor '
'root server at ' + str(self.root))
@tf_export('keras.callbacks.LearningRateScheduler')
class LearningRateScheduler(Callback):
"""Learning rate scheduler.
Arguments:
schedule: a function that takes an epoch index as input
(integer, indexed from 0) and returns a new
learning rate as output (float).
verbose: int. 0: quiet, 1: update messages.
"""
def __init__(self, schedule, verbose=0):
super(LearningRateScheduler, self).__init__()
self.schedule = schedule
self.verbose = verbose
def on_epoch_begin(self, epoch, logs=None):
if not hasattr(self.model.optimizer, 'lr'):
raise ValueError('Optimizer must have a "lr" attribute.')
try: # new API
lr = float(K.get_value(self.model.optimizer.lr))
lr = self.schedule(epoch, lr)
except TypeError: # Support for old API for backward compatibility
lr = self.schedule(epoch)
if not isinstance(lr, (float, np.float32, np.float64)):
raise ValueError('The output of the "schedule" function '
'should be float.')
K.set_value(self.model.optimizer.lr, lr)
if self.verbose > 0:
print('\nEpoch %05d: LearningRateScheduler reducing learning '
'rate to %s.' % (epoch + 1, lr))
@tf_export('keras.callbacks.TensorBoard')
class TensorBoard(Callback):
# pylint: disable=line-too-long
"""Tensorboard basic visualizations.
This callback writes a log for TensorBoard, which allows
you to visualize dynamic graphs of your training and test
metrics, as well as activation histograms for the different
layers in your model.
TensorBoard is a visualization tool provided with TensorFlow.
If you have installed TensorFlow with pip, you should be able
to launch TensorBoard from the command line:
```sh
tensorboard --logdir=/full_path_to_your_logs
```
You can find more information about TensorBoard
[here](https://www.tensorflow.org/get_started/summaries_and_tensorboard).
Arguments:
log_dir: the path of the directory where to save the log
files to be parsed by TensorBoard.
histogram_freq: frequency (in epochs) at which to compute activation
and weight histograms for the layers of the model. If set to 0,
histograms won't be computed. Validation data (or split) must be
specified for histogram visualizations.
write_graph: whether to visualize the graph in TensorBoard.
The log file can become quite large when
write_graph is set to True.
write_grads: whether to visualize gradient histograms in TensorBoard.
`histogram_freq` must be greater than 0.
batch_size: size of batch of inputs to feed to the network
for histograms computation.
write_images: whether to write model weights to visualize as
image in TensorBoard.
embeddings_freq: frequency (in epochs) at which selected embedding
layers will be saved. If set to 0, embeddings won't be computed.
Data to be visualized in TensorBoard's Embedding tab must be passed
as `embeddings_data`.
embeddings_layer_names: a list of names of layers to keep eye on. If
None or empty list all the embedding layer will be watched.
embeddings_metadata: a dictionary which maps layer name to a file name
in which metadata for this embedding layer is saved. See the
[details](https://www.tensorflow.org/how_tos/embedding_viz/#metadata_optional)
about metadata files format. In case if the same metadata file is
used for all embedding layers, string can be passed.
embeddings_data: data to be embedded at layers specified in
`embeddings_layer_names`. Numpy array (if the model has a single
input) or list of Numpy arrays (if the model has multiple inputs).
Learn [more about embeddings](https://www.tensorflow.org/programmers_guide/embedding)
Raises:
ValueError: If histogram_freq is set and no validation data is provided.
@compatbility(eager)
Using `Tensorboard` callback will work while eager execution is enabled,
however outputting histogram summaries of weights and gradients is not
supported, and thus `histogram_freq` will be ignored.
@end_compatibility
"""
# pylint: enable=line-too-long
def __init__(self,
log_dir='./logs',
histogram_freq=0,
batch_size=32,
write_graph=True,
write_grads=False,
write_images=False,
embeddings_freq=0,
embeddings_layer_names=None,
embeddings_metadata=None,
embeddings_data=None):
super(TensorBoard, self).__init__()
self.log_dir = log_dir
self.histogram_freq = histogram_freq
if self.histogram_freq and context.executing_eagerly():
logging.warning(
UserWarning('Weight and gradient histograms not supported for eager'
'execution, setting `histogram_freq` to `0`.'))
self.histogram_freq = 0
self.merged = None
self.write_graph = write_graph
self.write_grads = write_grads
self.write_images = write_images
self.batch_size = batch_size
self._current_batch = 0
self._total_batches_seen = 0
self.embeddings_freq = embeddings_freq
self.embeddings_layer_names = embeddings_layer_names
self.embeddings_metadata = embeddings_metadata
self.embeddings_data = embeddings_data
def _init_writer(self):
"""Sets file writer."""
if context.executing_eagerly():
self.writer = summary_ops_v2.create_file_writer(self.log_dir)
elif self.write_graph:
self.writer = tf_summary.FileWriter(self.log_dir, K.get_session().graph)
else:
self.writer = tf_summary.FileWriter(self.log_dir)
def _make_histogram_ops(self, model):
"""Defines histogram ops when histogram_freq > 0."""
# only make histogram summary op if it hasn't already been made
if self.histogram_freq and self.merged is None:
for layer in self.model.layers:
for weight in layer.weights:
mapped_weight_name = weight.name.replace(':', '_')
tf_summary.histogram(mapped_weight_name, weight)
if self.write_images:
w_img = array_ops.squeeze(weight)
shape = K.int_shape(w_img)
if len(shape) == 2: # dense layer kernel case
if shape[0] > shape[1]:
w_img = array_ops.transpose(w_img)
shape = K.int_shape(w_img)
w_img = array_ops.reshape(w_img, [1, shape[0], shape[1], 1])
elif len(shape) == 3: # convnet case
if K.image_data_format() == 'channels_last':
# switch to channels_first to display
# every kernel as a separate image
w_img = array_ops.transpose(w_img, perm=[2, 0, 1])
shape = K.int_shape(w_img)
w_img = array_ops.reshape(w_img,
[shape[0], shape[1], shape[2], 1])
elif len(shape) == 1: # bias case
w_img = array_ops.reshape(w_img, [1, shape[0], 1, 1])
else:
# not possible to handle 3D convnets etc.
continue
shape = K.int_shape(w_img)
assert len(shape) == 4 and shape[-1] in [1, 3, 4]
tf_summary.image(mapped_weight_name, w_img)
if self.write_grads:
for weight in layer.trainable_weights:
mapped_weight_name = weight.name.replace(':', '_')
grads = model.optimizer.get_gradients(model.total_loss, weight)
def is_indexed_slices(grad):
return type(grad).__name__ == 'IndexedSlices'
grads = [
grad.values if is_indexed_slices(grad) else grad
for grad in grads
]
tf_summary.histogram('{}_grad'.format(mapped_weight_name), grads)
if hasattr(layer, 'output'):
if isinstance(layer.output, list):
for i, output in enumerate(layer.output):
tf_summary.histogram('{}_out_{}'.format(layer.name, i), output)
else:
tf_summary.histogram('{}_out'.format(layer.name), layer.output)
def set_model(self, model):
"""Sets Keras model and creates summary ops."""
self.model = model
self._init_writer()
# histogram summaries only enabled in graph mode
if not context.executing_eagerly():
self._make_histogram_ops(model)
self.merged = tf_summary.merge_all()
# If both embedding_freq and embeddings_data are available, we will
# visualize embeddings.
if self.embeddings_freq and self.embeddings_data is not None:
self.embeddings_data = standardize_input_data(self.embeddings_data,
model.input_names)
# If embedding_layer_names are not provided, get all of the embedding
# layers from the model.
embeddings_layer_names = self.embeddings_layer_names
if not embeddings_layer_names:
embeddings_layer_names = [
layer.name
for layer in self.model.layers
if type(layer).__name__ == 'Embedding'
]
self.assign_embeddings = []
embeddings_vars = {}
self.batch_id = batch_id = array_ops.placeholder(dtypes.int32)
self.step = step = array_ops.placeholder(dtypes.int32)
for layer in self.model.layers:
if layer.name in embeddings_layer_names:
embedding_input = self.model.get_layer(layer.name).output
embedding_size = np.prod(embedding_input.shape[1:])
embedding_input = array_ops.reshape(embedding_input,
(step, int(embedding_size)))
shape = (self.embeddings_data[0].shape[0], int(embedding_size))
embedding = variables.Variable(
array_ops.zeros(shape), name=layer.name + '_embedding')
embeddings_vars[layer.name] = embedding
batch = state_ops.assign(embedding[batch_id:batch_id + step],
embedding_input)
self.assign_embeddings.append(batch)
self.saver = saver.Saver(list(embeddings_vars.values()))
# Create embeddings_metadata dictionary
if isinstance(self.embeddings_metadata, str):
embeddings_metadata = {
layer_name: self.embeddings_metadata
for layer_name in embeddings_vars.keys()
}
else:
# If embedding_metadata is already a dictionary
embeddings_metadata = self.embeddings_metadata
try:
from tensorboard.plugins import projector
except ImportError:
raise ImportError('Failed to import TensorBoard. Please make sure that '
'TensorBoard integration is complete."')
# TODO(psv): Add integration tests to test embedding visualization
# with TensorBoard callback. We are unable to write a unit test for this
# because TensorBoard dependency assumes TensorFlow package is installed.
config = projector.ProjectorConfig()
for layer_name, tensor in embeddings_vars.items():
embedding = config.embeddings.add()
embedding.tensor_name = tensor.name
if (embeddings_metadata is not None and
layer_name in embeddings_metadata):
embedding.metadata_path = embeddings_metadata[layer_name]
projector.visualize_embeddings(self.writer, config)
def _fetch_callback(self, summary):
self.writer.add_summary(
summary,
self._epoch + self._current_val_batch / self._validation_batches)
self._current_val_batch += 1
def _write_custom_summaries(self, step, logs=None):
"""Writes metrics out as custom scalar summaries.
Arguments:
step: the global step to use for Tensorboard.
logs: dict. Keys are scalar summary names, values are
NumPy scalars.
"""
logs = logs or {}
if context.executing_eagerly():
# use v2 summary ops
with self.writer.as_default(), summary_ops_v2.always_record_summaries():
for name, value in logs.items():
summary_ops_v2.scalar(name, value.item(), step=step)
else:
# use FileWriter from v1 summary
for name, value in logs.items():
summary = tf_summary.Summary()
summary_value = summary.value.add()
summary_value.simple_value = value.item()
summary_value.tag = name
self.writer.add_summary(summary, step)
self.writer.flush()
def on_train_begin(self, logs=None):
"""Checks if histogram summaries can be run."""
# will never be set when in eager
if self.histogram_freq:
if self.params.get('validation_steps', None) is not None:
self._validation_batches = self.params['validation_steps']
elif self.validation_data:
self._validation_batches = math.ceil(
self.validation_data[0].shape[0] / self.batch_size)
else:
raise ValueError('If printing histograms, validation data must be '
'provided.')
if self._validation_batches == 0:
raise ValueError(
'If printing histograms, validation data must have length > 0.')
def on_batch_end(self, batch, logs=None):
"""Writes scalar summaries for metrics on every training batch."""
# Don't output batch_size and batch number as Tensorboard summaries
logs = logs or {}
batch_logs = {('batch_' + k): v
for k, v in logs.items()
if k not in ['batch', 'size']}
self._write_custom_summaries(self._total_batches_seen, batch_logs)
self._total_batches_seen += 1
def on_epoch_begin(self, epoch, logs=None):
"""Add histogram op to Model test_function callbacks, reset batch count."""
# check if histogram summary should be run for this epoch
if self.histogram_freq and epoch % self.histogram_freq == 0:
self._epoch = epoch
self._current_val_batch = 0
# add the histogram summary op if it should run this epoch
if self.merged not in self.model.test_function.fetches:
self.model.test_function.fetches.append(self.merged)
self.model.test_function.fetch_callbacks[
self.merged] = self._fetch_callback
def on_epoch_end(self, epoch, logs=None):
"""Checks if summary ops should run next epoch, logs scalar summaries."""
# don't output batch_size and
# batch number as Tensorboard summaries
logs = {('epoch_' + k): v
for k, v in logs.items()
if k not in ['batch', 'size']}
self._write_custom_summaries(epoch, logs)
# pop the histogram summary op after each epoch
if self.histogram_freq:
if self.merged in self.model.test_function.fetches:
self.model.test_function.fetches.remove(self.merged)
if self.merged in self.model.test_function.fetch_callbacks:
self.model.test_function.fetch_callbacks.pop(self.merged)
if self.embeddings_data is None and self.embeddings_freq:
raise ValueError('To visualize embeddings, embeddings_data must '
'be provided.')
if self.embeddings_freq and self.embeddings_data is not None:
if epoch % self.embeddings_freq == 0:
# We need a second forward-pass here because we're passing
# the `embeddings_data` explicitly. This design allows to pass
# arbitrary data as `embeddings_data` and results from the fact
# that we need to know the size of the `tf.Variable`s which
# hold the embeddings in `set_model`. At this point, however,
# the `validation_data` is not yet set.
embeddings_data = self.embeddings_data
n_samples = embeddings_data[0].shape[0]
i = 0
while i < n_samples:
step = min(self.batch_size, n_samples - i)
batch = slice(i, i + step)
if isinstance(self.model.input, list):
feed_dict = {
model_input: embeddings_data[idx][batch]
for idx, model_input in enumerate(self.model.input)
}
else:
feed_dict = {self.model.input: embeddings_data[0][batch]}
feed_dict.update({self.batch_id: i, self.step: step})
if self.model.uses_learning_phase:
feed_dict[K.learning_phase()] = False
self.sess.run(self.assign_embeddings, feed_dict=feed_dict)
self.saver.save(self.sess,
os.path.join(self.log_dir, 'keras_embedding.ckpt'),
epoch)
i += self.batch_size
def on_train_end(self, logs=None):
self.writer.close()
@tf_export('keras.callbacks.ReduceLROnPlateau')
class ReduceLROnPlateau(Callback):
"""Reduce learning rate when a metric has stopped improving.
Models often benefit from reducing the learning rate by a factor
of 2-10 once learning stagnates. This callback monitors a
quantity and if no improvement is seen for a 'patience' number
of epochs, the learning rate is reduced.
Example:
```python
reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.2,
patience=5, min_lr=0.001)
model.fit(X_train, Y_train, callbacks=[reduce_lr])
```
Arguments:
monitor: quantity to be monitored.
factor: factor by which the learning rate will
be reduced. new_lr = lr * factor
patience: number of epochs with no improvement
after which learning rate will be reduced.
verbose: int. 0: quiet, 1: update messages.
mode: one of {auto, min, max}. In `min` mode,
lr will be reduced when the quantity
monitored has stopped decreasing; in `max`
mode it will be reduced when the quantity
monitored has stopped increasing; in `auto`
mode, the direction is automatically inferred
from the name of the monitored quantity.
min_delta: threshold for measuring the new optimum,
to only focus on significant changes.
cooldown: number of epochs to wait before resuming
normal operation after lr has been reduced.
min_lr: lower bound on the learning rate.
"""
def __init__(self,
monitor='val_loss',
factor=0.1,
patience=10,
verbose=0,
mode='auto',
min_delta=1e-4,
cooldown=0,
min_lr=0,
**kwargs):
super(ReduceLROnPlateau, self).__init__()
self.monitor = monitor
if factor >= 1.0:
raise ValueError('ReduceLROnPlateau ' 'does not support a factor >= 1.0.')
if 'epsilon' in kwargs:
min_delta = kwargs.pop('epsilon')
logging.warning('`epsilon` argument is deprecated and '
'will be removed, use `min_delta` instead.')
self.factor = factor
self.min_lr = min_lr
self.min_delta = min_delta
self.patience = patience
self.verbose = verbose
self.cooldown = cooldown
self.cooldown_counter = 0 # Cooldown counter.
self.wait = 0
self.best = 0
self.mode = mode
self.monitor_op = None
self._reset()
def _reset(self):
"""Resets wait counter and cooldown counter.
"""
if self.mode not in ['auto', 'min', 'max']:
logging.warning('Learning Rate Plateau Reducing mode %s is unknown, '
'fallback to auto mode.', self.mode)
self.mode = 'auto'
if (self.mode == 'min' or
(self.mode == 'auto' and 'acc' not in self.monitor)):
self.monitor_op = lambda a, b: np.less(a, b - self.min_delta)
self.best = np.Inf
else:
self.monitor_op = lambda a, b: np.greater(a, b + self.min_delta)
self.best = -np.Inf
self.cooldown_counter = 0
self.wait = 0
def on_train_begin(self, logs=None):
self._reset()
def on_epoch_end(self, epoch, logs=None):
logs = logs or {}
logs['lr'] = K.get_value(self.model.optimizer.lr)
current = logs.get(self.monitor)
if current is None:
logging.warning('Reduce LR on plateau conditioned on metric `%s` '
'which is not available. Available metrics are: %s',
self.monitor, ','.join(list(logs.keys())))
else:
if self.in_cooldown():
self.cooldown_counter -= 1
self.wait = 0
if self.monitor_op(current, self.best):
self.best = current
self.wait = 0
elif not self.in_cooldown():
self.wait += 1
if self.wait >= self.patience:
old_lr = float(K.get_value(self.model.optimizer.lr))
if old_lr > self.min_lr:
new_lr = old_lr * self.factor
new_lr = max(new_lr, self.min_lr)
K.set_value(self.model.optimizer.lr, new_lr)
if self.verbose > 0:
print('\nEpoch %05d: ReduceLROnPlateau reducing learning '
'rate to %s.' % (epoch + 1, new_lr))
self.cooldown_counter = self.cooldown
self.wait = 0
def in_cooldown(self):
return self.cooldown_counter > 0
@tf_export('keras.callbacks.CSVLogger')
class CSVLogger(Callback):
"""Callback that streams epoch results to a csv file.
Supports all values that can be represented as a string,
including 1D iterables such as np.ndarray.
Example:
```python
csv_logger = CSVLogger('training.log')
model.fit(X_train, Y_train, callbacks=[csv_logger])
```
Arguments:
filename: filename of the csv file, e.g. 'run/log.csv'.
separator: string used to separate elements in the csv file.
append: True: append if file exists (useful for continuing
training). False: overwrite existing file,
"""
def __init__(self, filename, separator=',', append=False):
self.sep = separator
self.filename = filename
self.append = append
self.writer = None
self.keys = None
self.append_header = True
self.file_flags = 'b' if six.PY2 and os.name == 'nt' else ''
super(CSVLogger, self).__init__()
def on_train_begin(self, logs=None):
if self.append:
if os.path.exists(self.filename):
with open(self.filename, 'r' + self.file_flags) as f:
self.append_header = not bool(len(f.readline()))
self.csv_file = open(self.filename, 'a' + self.file_flags)
else:
self.csv_file = open(self.filename, 'w' + self.file_flags)
def on_epoch_end(self, epoch, logs=None):
logs = logs or {}
def handle_value(k):
is_zero_dim_ndarray = isinstance(k, np.ndarray) and k.ndim == 0
if isinstance(k, six.string_types):
return k
elif isinstance(k, Iterable) and not is_zero_dim_ndarray:
return '"[%s]"' % (', '.join(map(str, k)))
else:
return k
if self.keys is None:
self.keys = sorted(logs.keys())
if self.model.stop_training:
# We set NA so that csv parsers do not fail for this last epoch.
logs = dict([(k, logs[k]) if k in logs else (k, 'NA') for k in self.keys])
if not self.writer:
class CustomDialect(csv.excel):
delimiter = self.sep
self.writer = csv.DictWriter(
self.csv_file,
fieldnames=['epoch'] + self.keys,
dialect=CustomDialect)
if self.append_header:
self.writer.writeheader()
row_dict = OrderedDict({'epoch': epoch})
row_dict.update((key, handle_value(logs[key])) for key in self.keys)
self.writer.writerow(row_dict)
self.csv_file.flush()
def on_train_end(self, logs=None):
self.csv_file.close()
self.writer = None
@tf_export('keras.callbacks.LambdaCallback')
class LambdaCallback(Callback):
r"""Callback for creating simple, custom callbacks on-the-fly.
This callback is constructed with anonymous functions that will be called
at the appropriate time. Note that the callbacks expects positional
arguments, as:
- `on_epoch_begin` and `on_epoch_end` expect two positional arguments:
`epoch`, `logs`
- `on_batch_begin` and `on_batch_end` expect two positional arguments:
`batch`, `logs`
- `on_train_begin` and `on_train_end` expect one positional argument:
`logs`
Arguments:
on_epoch_begin: called at the beginning of every epoch.
on_epoch_end: called at the end of every epoch.
on_batch_begin: called at the beginning of every batch.
on_batch_end: called at the end of every batch.
on_train_begin: called at the beginning of model training.
on_train_end: called at the end of model training.
Example:
```python
# Print the batch number at the beginning of every batch.
batch_print_callback = LambdaCallback(
on_batch_begin=lambda batch,logs: print(batch))
# Stream the epoch loss to a file in JSON format. The file content
# is not well-formed JSON but rather has a JSON object per line.
import json
json_log = open('loss_log.json', mode='wt', buffering=1)
json_logging_callback = LambdaCallback(
on_epoch_end=lambda epoch, logs: json_log.write(
json.dumps({'epoch': epoch, 'loss': logs['loss']}) + '\n'),
on_train_end=lambda logs: json_log.close()
)
# Terminate some processes after having finished model training.
processes = ...
cleanup_callback = LambdaCallback(
on_train_end=lambda logs: [
p.terminate() for p in processes if p.is_alive()])
model.fit(...,
callbacks=[batch_print_callback,
json_logging_callback,
cleanup_callback])
```
"""
def __init__(self,
on_epoch_begin=None,
on_epoch_end=None,
on_batch_begin=None,
on_batch_end=None,
on_train_begin=None,
on_train_end=None,
**kwargs):
super(LambdaCallback, self).__init__()
self.__dict__.update(kwargs)
if on_epoch_begin is not None:
self.on_epoch_begin = on_epoch_begin
else:
self.on_epoch_begin = lambda epoch, logs: None
if on_epoch_end is not None:
self.on_epoch_end = on_epoch_end
else:
self.on_epoch_end = lambda epoch, logs: None
if on_batch_begin is not None:
self.on_batch_begin = on_batch_begin
else:
self.on_batch_begin = lambda batch, logs: None
if on_batch_end is not None:
self.on_batch_end = on_batch_end
else:
self.on_batch_end = lambda batch, logs: None
if on_train_begin is not None:
self.on_train_begin = on_train_begin
else:
self.on_train_begin = lambda logs: None
if on_train_end is not None:
self.on_train_end = on_train_end
else:
self.on_train_end = lambda logs: None
| [
"gardener@tensorflow.org"
] | gardener@tensorflow.org |
e4d331190d0951613bfb2dd2e5c596a4220fc079 | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/sieve-big-4642.py | e44d50bd03724d6fd15dac3b8b839dc0d38c9563 | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,755 | py | # A resizable list of integers
class Vector(object):
items: [int] = None
size: int = 0
def __init__(self:"Vector"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector") -> int:
return len(self.items)
# Increases capacity of vector by one element
def increase_capacity(self:"Vector") -> int:
self.items = self.items + [0]
return self.capacity()
# Appends one item to end of vector
def append(self:"Vector", item: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends many items to end of vector
def append_all(self:"Vector", new_items: [int]) -> object:
item:int = 0
for item in new_items:
self.append(item)
# Removes an item from the middle of vector
def remove_at(self:"Vector", idx: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Retrieves an item at a given index
def get(self:"Vector", idx: int) -> int:
return self.items[idx]
# Retrieves the current size of the vector
def length(self:"Vector") -> int:
return self.size
# A resizable list of integers
class Vector2(object):
items: [int] = None
items2: [int] = None
size: int = 0
size2: int = 0
def __init__(self:"Vector2"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector2") -> int:
return len(self.items)
# Returns current capacity
def capacity2(self:"Vector2") -> int:
return len(self.items)
# Increases capacity of vector by one element
def increase_capacity(self:"Vector2") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity2(self:"Vector2") -> int:
self.items = self.items + [0]
return self.capacity()
# Appends one item to end of vector
def append(self:"Vector2", item: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append2(self:"Vector2", item: int, item2: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends many items to end of vector
def append_all(self:"Vector2", new_items: [int]) -> object:
item:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all2(self:"Vector2", new_items: [int], new_items2: [int]) -> object:
item:int = 0
item2:int = 0
for item in new_items:
self.append(item)
# Removes an item from the middle of vector
def remove_at(self:"Vector2", idx: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at2(self:"Vector2", idx: int, idx2: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Retrieves an item at a given index
def get(self:"Vector2", idx: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get2(self:"Vector2", idx: int, idx2: int) -> int:
return self.items[idx]
# Retrieves the current size of the vector
def length(self:"Vector2") -> int:
return self.size
# Retrieves the current size of the vector
def length2(self:"Vector2") -> int:
return self.size
# A resizable list of integers
class Vector3(object):
items: [int] = None
items2: [int] = None
items3: [int] = None
size: int = 0
size2: int = 0
size3: int = 0
def __init__(self:"Vector3"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector3") -> int:
return len(self.items)
# Returns current capacity
def capacity2(self:"Vector3") -> int:
return len(self.items)
# Returns current capacity
def capacity3(self:"Vector3") -> int:
return len(self.items)
# Increases capacity of vector by one element
def increase_capacity(self:"Vector3") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity2(self:"Vector3") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity3(self:"Vector3") -> int:
self.items = self.items + [0]
return self.capacity()
# Appends one item to end of vector
def append(self:"Vector3", item: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append2(self:"Vector3", item: int, item2: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append3(self:"Vector3", item: int, item2: int, item3: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends many items to end of vector
def append_all(self:"Vector3", new_items: [int]) -> object:
item:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all2(self:"Vector3", new_items: [int], new_items2: [int]) -> object:
item:int = 0
item2:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all3(self:"Vector3", new_items: [int], new_items2: [int], new_items3: [int]) -> object:
item:int = 0
item2:int = 0
item3:int = 0
for item in new_items:
self.append(item)
# Removes an item from the middle of vector
def remove_at(self:"Vector3", idx: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at2(self:"Vector3", idx: int, idx2: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at3(self:"Vector3", idx: int, idx2: int, idx3: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Retrieves an item at a given index
def get(self:"Vector3", idx: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get2(self:"Vector3", idx: int, idx2: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get3(self:"Vector3", idx: int, idx2: int, idx3: int) -> int:
return self.items[idx]
# Retrieves the current size of the vector
def length(self:"Vector3") -> int:
return self.size
# Retrieves the current size of the vector
def length2(self:"Vector3") -> int:
return self.size
# Retrieves the current size of the vector
def length3(self:"Vector3") -> int:
return self.size
# A resizable list of integers
class Vector4(object):
items: [int] = None
items2: [int] = None
items3: [int] = None
items4: [int] = None
size: int = 0
size2: int = 0
size3: int = 0
size4: int = 0
def __init__(self:"Vector4"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector4") -> int:
return len(self.items)
# Returns current capacity
def capacity2(self:"Vector4") -> int:
return len(self.items)
# Returns current capacity
def capacity3(self:"Vector4") -> int:
return len(self.items)
# Returns current capacity
def capacity4(self:"Vector4") -> int:
return len(self.items)
# Increases capacity of vector by one element
def increase_capacity(self:"Vector4") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity2(self:"Vector4") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity3(self:"Vector4") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity4(self:"Vector4") -> int:
self.items = self.items + [0]
return self.capacity()
# Appends one item to end of vector
def append(self:"Vector4", item: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append2(self:"Vector4", item: int, item2: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append3(self:"Vector4", item: int, item2: int, item3: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append4(self:"Vector4", item: int, item2: int, item3: int, item4: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends many items to end of vector
def append_all(self:"Vector4", new_items: [int]) -> object:
item:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all2(self:"Vector4", new_items: [int], new_items2: [int]) -> object:
item:int = 0
item2:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all3(self:"Vector4", new_items: [int], new_items2: [int], new_items3: [int]) -> object:
item:int = 0
item2:int = 0
item3:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all4(self:"Vector4", new_items: [int], new_items2: [int], new_items3: [int], new_items4: [int]) -> object:
item:int = 0
item2:int = 0
item3:int = 0
item4:int = 0
for item in new_items:
self.append(item)
# Removes an item from the middle of vector
def remove_at(self:"Vector4", idx: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at2(self:"Vector4", idx: int, idx2: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at3(self:"Vector4", idx: int, idx2: int, idx3: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at4(self:"Vector4", idx: int, idx2: int, idx3: int, idx4: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Retrieves an item at a given index
def get(self:"Vector4", idx: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get2(self:"Vector4", idx: int, idx2: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get3(self:"Vector4", idx: int, idx2: int, idx3: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get4(self:"Vector4", idx: int, idx2: int, idx3: int, idx4: int) -> int:
return self.items[idx]
# Retrieves the current size of the vector
def length(self:"Vector4") -> int:
return self.size
# Retrieves the current size of the vector
def length2(self:"Vector4") -> int:
return self.size
# Retrieves the current size of the vector
def length3(self:"Vector4") -> int:
return self.size
# Retrieves the current size of the vector
def length4(self:"Vector4") -> int:
return self.size
# A resizable list of integers
class Vector5(object):
items: [int] = None
items2: [int] = None
items3: [int] = None
items4: [int] = None
items5: [int] = None
size: int = 0
size2: int = 0
size3: int = 0
size4: int = 0
size5: int = 0
def __init__(self:"Vector5"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector5") -> int:
return len(self.items)
# Returns current capacity
def capacity2(self:"Vector5") -> int:
return len(self.items)
# Returns current capacity
def capacity3(self:"Vector5") -> int:
return len(self.items)
# Returns current capacity
def capacity4(self:"Vector5") -> int:
return len(self.items)
# Returns current capacity
def capacity5(self:"Vector5") -> int:
return len(self.items)
# Increases capacity of vector by one element
def increase_capacity(self:"Vector5") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity2(self:"Vector5") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity3(self:"Vector5") -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity4(self:$IDSTRING) -> int:
self.items = self.items + [0]
return self.capacity()
# Increases capacity of vector by one element
def increase_capacity5(self:"Vector5") -> int:
self.items = self.items + [0]
return self.capacity()
# Appends one item to end of vector
def append(self:"Vector5", item: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append2(self:"Vector5", item: int, item2: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append3(self:"Vector5", item: int, item2: int, item3: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append4(self:"Vector5", item: int, item2: int, item3: int, item4: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends one item to end of vector
def append5(self:"Vector5", item: int, item2: int, item3: int, item4: int, item5: int) -> object:
if self.size == self.capacity():
self.increase_capacity()
self.items[self.size] = item
self.size = self.size + 1
# Appends many items to end of vector
def append_all(self:"Vector5", new_items: [int]) -> object:
item:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all2(self:"Vector5", new_items: [int], new_items2: [int]) -> object:
item:int = 0
item2:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all3(self:"Vector5", new_items: [int], new_items2: [int], new_items3: [int]) -> object:
item:int = 0
item2:int = 0
item3:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all4(self:"Vector5", new_items: [int], new_items2: [int], new_items3: [int], new_items4: [int]) -> object:
item:int = 0
item2:int = 0
item3:int = 0
item4:int = 0
for item in new_items:
self.append(item)
# Appends many items to end of vector
def append_all5(self:"Vector5", new_items: [int], new_items2: [int], new_items3: [int], new_items4: [int], new_items5: [int]) -> object:
item:int = 0
item2:int = 0
item3:int = 0
item4:int = 0
item5:int = 0
for item in new_items:
self.append(item)
# Removes an item from the middle of vector
def remove_at(self:"Vector5", idx: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at2(self:"Vector5", idx: int, idx2: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at3(self:"Vector5", idx: int, idx2: int, idx3: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at4(self:"Vector5", idx: int, idx2: int, idx3: int, idx4: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Removes an item from the middle of vector
def remove_at5(self:"Vector5", idx: int, idx2: int, idx3: int, idx4: int, idx5: int) -> object:
if idx < 0:
return
while idx < self.size - 1:
self.items[idx] = self.items[idx + 1]
idx = idx + 1
self.size = self.size - 1
# Retrieves an item at a given index
def get(self:"Vector5", idx: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get2(self:"Vector5", idx: int, idx2: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get3(self:"Vector5", idx: int, idx2: int, idx3: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get4(self:"Vector5", idx: int, idx2: int, idx3: int, idx4: int) -> int:
return self.items[idx]
# Retrieves an item at a given index
def get5(self:"Vector5", idx: int, idx2: int, idx3: int, idx4: int, idx5: int) -> int:
return self.items[idx]
# Retrieves the current size of the vector
def length(self:"Vector5") -> int:
return self.size
# Retrieves the current size of the vector
def length2(self:"Vector5") -> int:
return self.size
# Retrieves the current size of the vector
def length3(self:"Vector5") -> int:
return self.size
# Retrieves the current size of the vector
def length4(self:"Vector5") -> int:
return self.size
# Retrieves the current size of the vector
def length5(self:"Vector5") -> int:
return self.size
# A faster (but more memory-consuming) implementation of vector
class DoublingVector(Vector):
doubling_limit:int = 1000
# Overriding to do fewer resizes
def increase_capacity(self:"DoublingVector") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# A faster (but more memory-consuming) implementation of vector
class DoublingVector2(Vector):
doubling_limit:int = 1000
doubling_limit2:int = 1000
# Overriding to do fewer resizes
def increase_capacity(self:"DoublingVector2") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity2(self:"DoublingVector2") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# A faster (but more memory-consuming) implementation of vector
class DoublingVector3(Vector):
doubling_limit:int = 1000
doubling_limit2:int = 1000
doubling_limit3:int = 1000
# Overriding to do fewer resizes
def increase_capacity(self:"DoublingVector3") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity2(self:"DoublingVector3") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity3(self:"DoublingVector3") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# A faster (but more memory-consuming) implementation of vector
class DoublingVector4(Vector):
doubling_limit:int = 1000
doubling_limit2:int = 1000
doubling_limit3:int = 1000
doubling_limit4:int = 1000
# Overriding to do fewer resizes
def increase_capacity(self:"DoublingVector4") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity2(self:"DoublingVector4") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity3(self:"DoublingVector4") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity4(self:"DoublingVector4") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# A faster (but more memory-consuming) implementation of vector
class DoublingVector5(Vector):
doubling_limit:int = 1000
doubling_limit2:int = 1000
doubling_limit3:int = 1000
doubling_limit4:int = 1000
doubling_limit5:int = 1000
# Overriding to do fewer resizes
def increase_capacity(self:"DoublingVector5") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity2(self:"DoublingVector5") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity3(self:"DoublingVector5") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity4(self:"DoublingVector5") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Overriding to do fewer resizes
def increase_capacity5(self:"DoublingVector5") -> int:
if (self.capacity() <= self.doubling_limit // 2):
self.items = self.items + self.items
else:
# If doubling limit has been reached, fall back to
# standard capacity increases
self.items = self.items + [0]
return self.capacity()
# Makes a vector in the range [i, j)
def vrange(i:int, j:int) -> Vector:
v:Vector = None
v = DoublingVector()
while i < j:
v.append(i)
i = i + 1
return v
def vrange2(i:int, j:int, i2:int, j2:int) -> Vector:
v:Vector = None
v2:Vector = None
v = DoublingVector()
while i < j:
v.append(i)
i = i + 1
return v
def vrange3(i:int, j:int, i2:int, j2:int, i3:int, j3:int) -> Vector:
v:Vector = None
v2:Vector = None
v3:Vector = None
v = DoublingVector()
while i < j:
v.append(i)
i = i + 1
return v
def vrange4(i:int, j:int, i2:int, j2:int, i3:int, j3:int, i4:int, j4:int) -> Vector:
v:Vector = None
v2:Vector = None
v3:Vector = None
v4:Vector = None
v = DoublingVector()
while i < j:
v.append(i)
i = i + 1
return v
def vrange5(i:int, j:int, i2:int, j2:int, i3:int, j3:int, i4:int, j4:int, i5:int, j5:int) -> Vector:
v:Vector = None
v2:Vector = None
v3:Vector = None
v4:Vector = None
v5:Vector = None
v = DoublingVector()
while i < j:
v.append(i)
i = i + 1
return v
# Sieve of Eratosthenes (not really)
def sieve(v:Vector) -> object:
i:int = 0
j:int = 0
k:int = 0
while i < v.length():
k = v.get(i)
j = i + 1
while j < v.length():
if v.get(j) % k == 0:
v.remove_at(j)
else:
j = j + 1
i = i + 1
def sieve2(v:Vector, v2:Vector) -> object:
i:int = 0
i2:int = 0
j:int = 0
j2:int = 0
k:int = 0
k2:int = 0
while i < v.length():
k = v.get(i)
j = i + 1
while j < v.length():
if v.get(j) % k == 0:
v.remove_at(j)
else:
j = j + 1
i = i + 1
def sieve3(v:Vector, v2:Vector, v3:Vector) -> object:
i:int = 0
i2:int = 0
i3:int = 0
j:int = 0
j2:int = 0
j3:int = 0
k:int = 0
k2:int = 0
k3:int = 0
while i < v.length():
k = v.get(i)
j = i + 1
while j < v.length():
if v.get(j) % k == 0:
v.remove_at(j)
else:
j = j + 1
i = i + 1
def sieve4(v:Vector, v2:Vector, v3:Vector, v4:Vector) -> object:
i:int = 0
i2:int = 0
i3:int = 0
i4:int = 0
j:int = 0
j2:int = 0
j3:int = 0
j4:int = 0
k:int = 0
k2:int = 0
k3:int = 0
k4:int = 0
while i < v.length():
k = v.get(i)
j = i + 1
while j < v.length():
if v.get(j) % k == 0:
v.remove_at(j)
else:
j = j + 1
i = i + 1
def sieve5(v:Vector, v2:Vector, v3:Vector, v4:Vector, v5:Vector) -> object:
i:int = 0
i2:int = 0
i3:int = 0
i4:int = 0
i5:int = 0
j:int = 0
j2:int = 0
j3:int = 0
j4:int = 0
j5:int = 0
k:int = 0
k2:int = 0
k3:int = 0
k4:int = 0
k5:int = 0
while i < v.length():
k = v.get(i)
j = i + 1
while j < v.length():
if v.get(j) % k == 0:
v.remove_at(j)
else:
j = j + 1
i = i + 1
# Input parameter
n:int = 50
n2:int = 50
n3:int = 50
n4:int = 50
n5:int = 50
# Data
v:Vector = None
v2:Vector = None
v3:Vector = None
v4:Vector = None
v5:Vector = None
i:int = 0
i2:int = 0
i3:int = 0
i4:int = 0
i5:int = 0
# Crunch
v = vrange(2, n)
v2 = vrange(2, n)
v3 = vrange(2, n)
v4 = vrange(2, n)
v5 = vrange(2, n)
sieve(v)
# Print
while i < v.length():
print(v.get(i))
i = i + 1
| [
"647530+Virtlink@users.noreply.github.com"
] | 647530+Virtlink@users.noreply.github.com |
1bf4ffff53b8443cb6cfe76a345fc9e1f3d53794 | ce2573d39de26cc3dda2a87c1e8746d1d3ff7e4c | /xml_to_csv.py | 8f62e960c4fcbef47d7c7dad0a1845c5c42adda6 | [] | no_license | krestovolt/cat-dog-breed-detection | 2779e30528d4dd63e795439cfa9a9c3b7b3da82d | 5fe3566266e087b251c84054f565561adccafa84 | refs/heads/master | 2021-05-05T12:09:29.605083 | 2018-01-20T07:44:45 | 2018-01-20T07:44:45 | 118,212,311 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,330 | py | import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET
from tqdm import tqdm
def xml_to_csv(path):
xml_list = []
_files = glob.glob(path + '/*.xml')
for xml_file in tqdm(_files, total = len(_files)):
image_name = os.path.basename(xml_file)
image_name = image_name.split('.')[0] + '.jpg'
class_name = image_name.split('_')[:-1]
class_name = '_'.join(class_name)
tree = ET.parse(xml_file)
root = tree.getroot()
for member in root.findall('object'):
value = (image_name,
int(root.find('size')[0].text),
int(root.find('size')[1].text),
class_name,
int(member[4][0].text),
int(member[4][1].text),
int(member[4][2].text),
int(member[4][3].text)
)
xml_list.append(value)
# print('',
# image_name,'\n',
# class_name,'\n',
# root.find('size')[0].text,'\n',
# root.find('size')[1].text,'\n',
# member[0],'\n',
# member[4][0],'\n',
# member[4][1],'\n',
# member[4][2],'\n',
# member[4][3],'\n')
column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
xml_df = pd.DataFrame(xml_list, columns=column_name)
return xml_df
# def main():
# image_path = os.path.join(os.getcwd(), 'annotations')
# xml_df = xml_to_csv(image_path)
# xml_df.to_csv('raccoon_labels.csv', index=None)
# print('Successfully converted xml to csv.')
def main():
for directory in ['train','test']:
data_path = os.path.join(os.getcwd(), 'data/{}'.format(directory))
xml_df = xml_to_csv(data_path)
xml_df.to_csv('data/{}_labels.csv'.format(directory), index=None)
print('Successfully converted xml to csv.')
# def main():
# image_path = os.path.join(os.getcwd(), 'annotations/xmls')
# print(image_path)
# xml_df = xml_to_csv(image_path)
# # xml_df.to_csv('data/{}_labels.csv'.format(directory), index=None)
# print('Successfully converted xml to csv.')
if __name__ == '__main__':
main()
| [
"kautsar.ab@gmail.com"
] | kautsar.ab@gmail.com |
8939cb11b44574e3ae4666bb7ed1698550d192c4 | 6b2a8dd202fdce77c971c412717e305e1caaac51 | /solutions_5756407898963968_0/Python/eding/A-small-code.py | e5ebfa779d5c7ca729204629dbea0f829a594e03 | [] | no_license | alexandraback/datacollection | 0bc67a9ace00abbc843f4912562f3a064992e0e9 | 076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf | refs/heads/master | 2021-01-24T18:27:24.417992 | 2017-05-23T09:23:38 | 2017-05-23T09:23:38 | 84,313,442 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 939 | py | import codecs
import sys
N_ROWS = 4
def main():
file = codecs.open(sys.argv[1], "r", "utf-8-sig")
lines = [line.strip() for line in file]
T = int(lines[0])
cards1 = []
cards2 = []
index = 1
for trial in xrange(0,T):
ans1 = int(lines[index])
cards1 = map(int, lines[index+ans1].split())
index += 5
ans2 = int(lines[index])
cards2 = map(int, lines[index+ans2].split())
index += 5
intersect = [card for card in cards1 if card in cards2]
sys.stdout.write("Case #%d: " % (trial+1))
if len(intersect) < 1:
sys.stdout.write("Volunteer cheated!\n")
elif len(intersect) == 1:
sys.stdout.write("%d\n" % intersect[0])
elif len(intersect) > 1:
sys.stdout.write("Bad magician!\n")
if __name__ == '__main__':
main()
| [
"eewestman@gmail.com"
] | eewestman@gmail.com |
939366fbf9f7400868db1cfbd33d24ecd10c9608 | 51a0077af1cd234e081b8d0c4f9fb9cccf983fa6 | /examples/drawDistribution.py | c67a7464c97fae610fbe523684262b328014ee51 | [
"MIT"
] | permissive | wangyuan249/Mymmt767 | 9a2e127f086a3feaa4538d6c5dce87f89bd04bd0 | 6b9bb566d290bd3157350f6496fcb5df8c2b515c | refs/heads/main | 2023-04-20T01:03:20.407482 | 2021-05-16T16:44:28 | 2021-05-16T16:44:28 | 367,935,789 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,479 | py | import matplotlib.pyplot as plt
import numpy as np
import math
import pdb
def dotProduct(v1, v2):
v1 = np.mat(v1)
v2 = np.mat(v2)
z = v1 * v2.T
return z
if __name__ == '__main__':
feature = np.load("similarity_list_3.npy")
print(feature.__class__)
print(feature.shape)
similarity_list = []
feature = feature.reshape(32, 2048, 128)
# pdb.set_trace()
# print(feature.shape(2).__class__)
for k in range(0, feature.shape[0]):
for i in range(0, feature.shape[2]):
for j in range(0, feature.shape[2]):
vector1 = feature[k, :, i]
vector2 = feature[k, :, j]
cosine = dotProduct(vector1, vector2) / \
math.sqrt(dotProduct(vector1, vector1) * dotProduct(vector2, vector2))
# print("cosine: ", cosine)
similarity_list.append(cosine)
print("k", k)
similarity_list = np.array(similarity_list).reshape(524288)
T = np.linspace(0.0, 1.0, num=1000)
sim_dis = np.zeros(1000)
for item in similarity_list:
if(int(item*1000) == 1000):
continue
sim_dis[int(item*1000)-1] += 1
# power = np.array([1.53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00])
plt.plot(T,sim_dis)
# 绘图
# plt.bar(x=T, height=sim_dis, label='Similarity distribution', color='steelblue', alpha=0.8)
plt.show()
| [
"249401644@qq.com"
] | 249401644@qq.com |
31568c8831b174a67e23d04ae523c6729bc766c7 | ed9b2c3d96e4251acaa93412b0982cfea51d9dba | /Batch Lesson/operadores_asignacion.py | 2d6f826473724556dd5cfeabcdd0b5c9ef79f082 | [] | no_license | Dagorik/Batch17Roja | f98c49dc2a24bc74df725e1ecd937fc9b78757fe | 266948741d0c2900a9885e3dedc7e894d8573e3b | refs/heads/master | 2021-08-23T22:02:40.672409 | 2017-12-06T19:14:25 | 2017-12-06T19:14:25 | 108,353,295 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 59 | py | x = 5
print(x)
x+=10
print(x)
x-=10
print(x)
x*=10
print(x) | [
"dagorik@gmail.com"
] | dagorik@gmail.com |
57dba22400c00b7b658ab8feeab0d24681e26898 | a1a8b087a2fe9bf3f6ac27cf37c23484039e9b4f | /env/bin/flask | c9828d13240e322a069af19dbb315a6e42e5cf72 | [] | no_license | 16014958/week_03 | 4b0ffe496d10d50ec57a7f6b56532193d019b4cf | 76d95cea83a656b29809322b618344492a28a78d | refs/heads/master | 2020-03-25T12:33:52.312395 | 2018-08-06T20:56:01 | 2018-08-06T20:56:01 | 143,782,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | #!/Users/callumradford/Desktop/week_03/env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from flask.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"callumradford26@gmail.com"
] | callumradford26@gmail.com | |
e2f530e510936ac5f726ee45cd632a5f4b2067bc | eb0681df9f79394b6d6b6ef51cdb09e96b351567 | /faculty/views.py | 19a99d5e3c88b45a05add839c531540e7a77d8b5 | [] | no_license | sinaesmaili216/univercity | 4ff4e06f212f57667b987bc09a3879e077c353c5 | 5bc90db373c702aca60082129a6294da436e9726 | refs/heads/master | 2023-07-21T22:46:56.309763 | 2021-09-02T19:58:39 | 2021-09-02T19:58:39 | 400,893,312 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,774 | py | from django.db.models import Q
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render, redirect
from faculty.models import Class, Student, Lesson, Master, User
from .forms import CreateStudent, SelectLesson, LoginForm, EditLessonsByMaster, RegisterMaster
from django.contrib.auth import authenticate, login, logout
def index(request):
return render(request, 'faculty/index.html')
def login_user(request):
if request.method == 'POST':
form = LoginForm(request.POST)
if form.is_valid():
email = form.cleaned_data.get('email')
password = form.cleaned_data.get('password')
user = authenticate(email=email, password=password)
if user:
login(request, user)
return render(request, 'faculty/index.html')
else:
return HttpResponse('email or password is incorrect')
else:
form = LoginForm()
return render(request, 'faculty/login.html', context={'form': form})
def logout_user(request):
logout(request)
return redirect('faculty:login')
def show_class_list(request):
classes = Class.objects.all()
context = {
'classes': classes
}
return render(request, 'faculty/class_lists.html', context)
def search_in_class_list(request):
search_word = request.POST['search']
class_name = Class.objects.filter((Q(name__contains=search_word) | Q(lessons__name__contains=search_word)))
if class_name:
students = class_name.get().students.all
lessons = class_name.get().lessons.all
context = {
'lessons': lessons,
'students': students
}
else:
return HttpResponseRedirect('faculty:class_list')
return render(request, 'faculty/class_info.html', context)
def class_info(request, name):
class_name = Class.objects.get(name=name)
lessons = class_name.lessons.all
students = class_name.students.all
context = {
'lessons': lessons,
'students': students
}
return render(request, 'faculty/class_info.html', context)
def create_student(request):
if request.method == 'POST':
form = CreateStudent(request.POST)
if form.is_valid():
nation_code = form['nation_code'].value()
student = Student.objects.filter(nation_code=nation_code)
if student:
return HttpResponse('this student is exist')
else:
email = form.cleaned_data.get('email')
password = form.cleaned_data.get('password')
create_new_user = User.objects.create_user(email=email, password=password)
create_new_user.is_student = True
create_new_user.save()
first_name = form.cleaned_data.get('first_name')
last_name = form.cleaned_data.get('last_name')
nation_code = form.cleaned_data.get('nation_code')
age = form.cleaned_data.get('age')
faculty = form.cleaned_data.get('faculty')
phone = form.cleaned_data.get('phone')
print(phone)
new_student = Student.objects.create(first_name=first_name, last_name=last_name, nation_code=nation_code, age=age, user=create_new_user, faculty=faculty, phone=phone)
new_student.save()
login(request, create_new_user)
return redirect('faculty:index')
else:
form = CreateStudent()
return render(request, 'faculty/create_student.html', context={'form': form})
def select_lesson(request):
if request.method == 'POST':
form = SelectLesson(request.POST)
if form.is_valid():
lessons = form.cleaned_data.get('lessons')
student = Student.objects.get(user=request.user)
[student.lessons.add(Lesson.objects.get(name=lesson)) for lesson in lessons]
return HttpResponse('lesson added')
else:
form = SelectLesson()
return render(request, 'faculty/select_lesson.html', context={'form': form})
def students_list(request):
all_students = Student.objects.all()
return render(request, 'faculty/students_list.html', context={'students': all_students})
def edit_student_lessons_by_master(request, student_name):
student = Student.objects.get(first_name=student_name)
if request.method == 'POST':
form = EditLessonsByMaster(request.POST)
if form.is_valid():
lessons = form.cleaned_data.get('lessons')
for lesson in lessons:
lesson = Lesson.objects.get(name=lesson)
student.lessons.add(lesson)
return HttpResponse('changes saved')
else:
form = EditLessonsByMaster()
return render(request, 'faculty/edit_lesson_by_master.html', context={'student': student, 'form': form})
def register_master(request):
if request.method == 'POST':
form = RegisterMaster(request.POST)
if form.is_valid():
first_name = form.cleaned_data.get('first_name')
last_name = form.cleaned_data.get('last_name')
email = form.cleaned_data.get('email')
password = form.cleaned_data.get('password')
new_user = User.objects.create_user(email=email, password=password)
new_user.is_teacher = True
new_user.save()
create_new_master = Master.objects.create(user=new_user, first_name=first_name, last_name=last_name)
create_new_master.save()
login(request, new_user)
return redirect('faculty:index')
else:
form = RegisterMaster()
return render(request, 'faculty/register_master.html', context={'form': form})
| [
"sinaesmaili216@gmail.com"
] | sinaesmaili216@gmail.com |
2a71d4e4609f4cb41aed46f48f4dc1917e9612b9 | 9c570e147dab670a91505eef1ca56c3aab64e5a5 | /Crypto/urls.py | 9dc922ae67e15d61112f52a75a10afd138edcdc6 | [] | no_license | Alireza-Helali/crypto-price-tracker | b0a71cf61b59b8723d407532c3c638ae32f44c4e | e7ac3fcb8a103ae5199a12d2e1ad715d86d8c3cb | refs/heads/master | 2023-04-12T01:06:21.614706 | 2021-05-14T17:51:44 | 2021-05-14T17:51:44 | 349,701,824 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 798 | py | """Crypto URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('positions.urls')),
]
| [
"a.helali1995@example.com"
] | a.helali1995@example.com |
ae8d67d7deda38b735bb7e18ddb5f030a8c4027e | be699e538fc03a2087c430e4771cf9f26e19b16c | /cifar10/resnet_keras_feature_fusion_v2.py | 8cec36117d0816e366c91db4996cf0b4c489241b | [] | no_license | fanW96/Fusion_Diversity | ed671ebf266c6cb0740ff8a7853d1ba0be42c21e | a66b0b49f24b81b72a9483244e28649cecfa2d9d | refs/heads/main | 2023-02-04T21:38:08.590034 | 2020-12-28T11:21:52 | 2020-12-28T11:21:52 | 324,986,899 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,282 | py | import keras
import numpy as np
import tensorflow as tf
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Conv2D, Dense, Input, Add, Activation, GlobalAveragePooling2D, BatchNormalization, UpSampling2D, Concatenate, Reshape, Flatten, Average
from keras.callbacks import LearningRateScheduler, TensorBoard, ModelCheckpoint
from keras.models import Model, load_model
from keras import optimizers, regularizers
import keras.backend as K
# from livelossplot.keras import PlotLossesCallback
from train_plot import PlotLearning
from functools import partial
class ResNet_v2:
def __init__(self, epochs=250, batch_size=128, load_weights=True,level="32",transfer=False,x_train=None,y_train=None,x_val=None,y_val=None,loss_fn=None,istransfer=False):
self.name = 'resnet_'+level+'_fusion_diversity_avg' #'resnet_cifar10' if dataset=='cifar10' else 'resnet_mnist'
self.model_filename = 'models/'+self.name+'.h5'
self.stack_n = 5
self.num_classes = 10
self.img_rows = x_train.shape[1]
self.img_cols = x_train.shape[2]
self.img_channels = x_train.shape[3]
self.batch_size = batch_size
self.epochs = epochs
self.iterations = x_train.shape[0] // self.batch_size # MNIST数据集应该是60000
self.weight_decay = 0.0001
self.log_filepath = r'logs/v2/'
self._model = None # 防止后续出现未定义的情况
self.param_count = None
self.x_train,self.y_train = x_train,y_train
self.x_val,self.y_val = x_val,y_val
self.loss_fn = None # loss_fn if loss_fn is not None else 'categorical_crossentropy'
self.transfer = istransfer
if load_weights:
try:
self._model = load_model(self.model_filename) # _model表示私有变量，保存了.h5加载过来的参数，load_model库函数详见models.py
self.param_count = self._model.count_params()
print('Successfully loaded', self.name)
except (ImportError, ValueError, OSError):
print('Failed to load', self.name)
def Entropy(self, input):
#input shape is batch_size X num_class
return tf.reduce_sum(-tf.multiply(input, tf.log(input + 1e-20)), axis=-1)
def Ensemble_Entropy(self, p3, p2, p1):
y_p_all = 0
y_p_all += p3
y_p_all += p2
y_p_all += p1
Ensemble = self.Entropy(y_p_all / 3)
return Ensemble
def log_det(self, p3, p2, p1, y_true_one):
zero = tf.constant(0, dtype=tf.float32)
det_offset = 1e-6
num_model = 3
y_true = []
y_true.append(y_true_one)
y_true.append(y_true_one)
y_true.append(y_true_one)
y_true = K.concatenate(y_true)
y_true = K.reshape(y_true, (-1, 10, 3))
y_pred = []
y_pred.append(p3)
y_pred.append(p2)
y_pred.append(p1)
y_pred = K.concatenate(y_pred)
y_pred = K.reshape(y_pred, (-1, 10, 3))
bool_R_y_true = tf.not_equal(tf.ones_like(y_true) - y_true, zero) # batch_size X (num_class X num_models), 2-D
mask_non_y_pred = tf.boolean_mask(y_pred, bool_R_y_true) # batch_size X (num_class-1) X num_models, 1-D
mask_non_y_pred = tf.reshape(mask_non_y_pred, [-1, num_model, self.num_classes-1]) # batch_size X num_model X (num_class-1), 3-D
mask_non_y_pred = mask_non_y_pred / tf.norm(mask_non_y_pred, axis=2, keepdims=True) # batch_size X num_model X (num_class-1), 3-D
matrix = tf.matmul(mask_non_y_pred, tf.transpose(mask_non_y_pred, perm=[0, 2, 1])) # batch_size X num_model X num_model, 3-D
all_log_det = tf.linalg.logdet(matrix+det_offset*tf.expand_dims(tf.eye(num_model),0)) # batch_size X 1, 1-D
return all_log_det
def custome_loss(self, y_true, y_pred, p3, p2, p1):
lamda = 1
log_det_lamda = 0.5
ce_final = K.categorical_crossentropy(y_true, y_pred)
ce_fusion = 0
ce_fusion += K.categorical_crossentropy(y_true, p3)
ce_fusion += K.categorical_crossentropy(y_true, p2)
ce_fusion += K.categorical_crossentropy(y_true, p1)
ee = self.Ensemble_Entropy(p3, p2, p1)
log_dets = self.log_det(p3, p2, p1, y_true)
return ce_final + ce_fusion - lamda * ee - log_det_lamda * log_dets
def construct(self):
# build network
img_input = Input(shape=(self.img_rows,self.img_cols,self.img_channels))
output, p3, p2, p1 = self.residual_network(img_input,self.num_classes,self.stack_n)
self._model = Model(img_input, output)
self.loss_fn = partial(self.custome_loss, p3=p3, p2=p2, p1=p1)
self.loss_fn.__name__ = "EE_ADP"
# self._model.summary()
def scheduler(self, epoch):
lr = 1e-3
if epoch > 220:
lr *= 1e-3
elif epoch > 150:
lr *= 1e-2
elif epoch > 80:
lr *= 1e-1
print('Learning rate: ', lr)
return lr
def residual_network(self, img_input,classes_num=10,stack_n=5): # ResNet参数，但不包括weights
# 一个残差块！！！ 从模型图片来看就是从一个Add到另一个Add之间的部分
def residual_block(intput, out_channel,increase=False, stage=0, block=0):
if increase:
stride = (2,2)
else:
stride = (1,1)
pre_bn = BatchNormalization()(intput) # （input）为这一层的输入
pre_relu = Activation('relu')(pre_bn)
conv_1 = Conv2D(out_channel,kernel_size=(3,3),strides=stride,padding='same',
kernel_initializer="he_normal", # he_normal——he正态分布初始化
kernel_regularizer=regularizers.l2(self.weight_decay))(pre_relu)
# 记得改回去 —— 修改残差块
bn_1 = BatchNormalization()(conv_1)
relu1 = Activation('relu')(bn_1)
conv_2 = Conv2D(out_channel,kernel_size=(3,3),strides=(1,1),padding='same',
kernel_initializer="he_normal",
kernel_regularizer=regularizers.l2(self.weight_decay))(relu1)
if increase: # 印证了结构图中有的会在右侧线路中多一个卷积层
projection = Conv2D(out_channel,
kernel_size=(1,1),
strides=(2,2),
padding='same',
kernel_initializer="he_normal",
kernel_regularizer=regularizers.l2(self.weight_decay))(intput)
block = Add(name='block_'+str(stage)+'_'+str(block))([conv_2, projection])
else:
block = Add(name='block_'+str(stage)+'_'+str(block))([intput,conv_2]) # 残差的概念：块中的最后一个输出和块中的第一个输入要相加
return block
# build model
# total layers = stack_n * 3 * 2 + 2
# stack_n = 5 by default, total layers = 32
# input: 32x32x3 output: 32x32x16
x = Conv2D(filters=16,kernel_size=(3,3),strides=(1,1),padding='same',
kernel_initializer="he_normal",
kernel_regularizer=regularizers.l2(self.weight_decay))(img_input)
# input: 32x32x16 output: 32x32x16
for i in range(stack_n):
x = residual_block(x,16,False, stage=1, block=i) # 16就是channel！与输入维度无关，最终结果直接由输出维度决定
exit1 = BatchNormalization()(x)
exit1 = Activation('relu')(exit1)
x = residual_block(x,32,True, stage=2, block=0)
for i in range(1,stack_n):
x = residual_block(x,32,False, stage=2, block=i)
exit2 = BatchNormalization()(x)
exit2 = Activation('relu')(exit2)
# input: 16x16x32 output: 8x8x64
x = residual_block(x,64,True, stage=3, block=0)
for i in range(1,stack_n):
x = residual_block(x,64,False, stage=3, block=i)
exit3 = BatchNormalization()(x)
exit3 = Activation('relu')(exit3)
p3 = Conv2D(64, kernel_size=(1,1))(exit3)
p2 = Add()([
UpSampling2D(size=(2,2))(p3),
Conv2D(64, kernel_size=(1,1))(exit2)
])
p1 = Add()([
UpSampling2D(size=(2,2))(p2),
Conv2D(64, kernel_size=(1,1))(exit1)
])
# 16*16*128
p1 = Conv2D(128, kernel_size=(3, 3), strides=(2, 2), padding='same')(p1)
# 8*8*128
p1 = Conv2D(128, kernel_size=(1, 1), strides=(2, 2), padding='same')(p1)
p1 = GlobalAveragePooling2D()(p1)
p1 = Dense(classes_num,
kernel_initializer="he_normal",
kernel_regularizer=regularizers.l2(self.weight_decay))(p1)
# 8*8*128
p2 = Conv2D(128, kernel_size=(3, 3), strides=(2, 2), padding='same')(p2)
p2 = GlobalAveragePooling2D()(p2)
p2 = Dense(classes_num,
kernel_initializer="he_normal",
kernel_regularizer=regularizers.l2(self.weight_decay))(p2)
# 8*8*128
p3 = Conv2D(128, kernel_size=(1, 1), strides=(1, 1), padding='same')(p3)
p3 = GlobalAveragePooling2D()(p3)
p3 = Dense(classes_num,
kernel_initializer="he_normal",
kernel_regularizer=regularizers.l2(self.weight_decay))(p3)
p1 = Activation('softmax')(p1)
p2 = Activation('softmax')(p2)
p3 = Activation('softmax')(p3)
out_inner = []
out_inner.append(p3)
out_inner.append(p2)
out_inner.append(p1)
out = Average()(out_inner)
return out, p3, p2, p1
def train(self):
if not self.transfer:
self.construct()
if self.x_val is not None and self.y_val is not None:
validation_data=(self.x_val, self.y_val)
else:
validation_data=None
# set optimizer
# sgd = optimizers.SGD(lr=.1, momentum=0.9, nesterov=True) # momentum-动量法,nesterov-NAG
adam = optimizers.Adam()
self._model.compile(loss=self.loss_fn, optimizer=adam, metrics=['accuracy'])
self._model.summary()
# set callback
tb_cb = TensorBoard(log_dir=self.log_filepath, histogram_freq=0)
change_lr = LearningRateScheduler(self.scheduler)
checkpoint = ModelCheckpoint('models/'+self.name+'_weight_best'+'.h5', # 这里保存了model
monitor='val_acc', verbose=0, save_best_only= True, mode='auto', save_weights_only=True)
plot_callback = PlotLearning()
cbks = [ tb_cb, checkpoint, plot_callback, change_lr]
# set data augmentation
print('Using real-time data augmentation.')
datagen = ImageDataGenerator(horizontal_flip=True,
width_shift_range=0.125,
height_shift_range=0.125,
fill_mode='constant',cval=0.)
datagen.fit(self.x_train)
# def generate_3out(generator, x, y, batch_size):
# gen = generator.flow(x, y, batch_size=batch_size)
# while True:
# (x1, y1) = gen.next()
# # y2 = y1.copy()
# # y3 = y1.copy()
# yield (x1, [y1, y1 ,y1])
# start training
self._model.fit_generator(datagen.flow(self.x_train, self.y_train, batch_size=self.batch_size),
steps_per_epoch=self.iterations,
epochs=self.epochs,
callbacks=cbks,
validation_data=validation_data)
# self._model.save('models/'+self.name+'_3out'+'.h5')
self.param_count = self._model.count_params()
def accuracy(self):
return self._model.evaluate(self.x_val, self.y_val, verbose=0)
| [
"fanw9611@163.com"
] | fanw9611@163.com |
2128f2350f92bfc597eb04b261dba5bd11281714 | 65402c579b40377184baa65a806044a8cc760540 | /myproducts/myproducts/www/stock.py | f7cc1db1fa11f2a3a2624f123bec400f39d89c75 | [
"MIT"
] | permissive | mado2461990/ERPNext-E-Commerce- | 040862653eb7472766a01aa9f824edfd567bb23d | b20d171faaa75eea2a21e1a40602799bd4aebd67 | refs/heads/master | 2021-01-12T08:00:15.348165 | 2016-12-21T16:46:21 | 2016-12-21T16:46:21 | 77,080,800 | 1 | 0 | null | 2016-12-21T19:37:18 | 2016-12-21T19:37:18 | null | UTF-8 | Python | false | false | 969 | py | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
base_template_path = "stock.html"
import os, re
import frappe
from frappe import _
def get_context(context):
# context.items = frappe.get_list('Item' ,'item_name,item_group,item_code,quantity')
# context.items_price = frappe.get_list('Item Price', 'price_list_rate')
raw = frappe.db.sql("""SELECT tabItem.item_name, tabItem.item_group, tabItem.thumbnail, tabItem.quantity,
`tabItem Price`.price_list_rate, tabItem.item_code, tabItem.name from tabItem
INNER JOIN `tabItem Price` ON tabItem.item_code = `tabItem Price`.item_code""")
context.items = list(raw)
#context.items_price = frappe.get_list('Item Price','item_code')
# return { "doc": frappe.get_doc('Item') }
#context.items = frappe.get_list('Item','item_name,item_group' )
| [
"noreply@github.com"
] | noreply@github.com |
a2a4196517debb6b29438efaef7424708c6a4b21 | 8ab0d1c0f60805d5bcf17fff95da262a6361437b | /pages/migrations/0001_initial.py | a266b0418b490a8af96b48658f20ae47febe7c24 | [] | no_license | singadkamlesh/new_carzone | b556bbb16f6f7336abe83f11cf300a54700c630a | a45f818949a9d6435a537e974c172bdd890405df | refs/heads/main | 2023-08-21T23:06:41.769820 | 2021-10-17T18:12:54 | 2021-10-17T18:12:54 | 410,552,697 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 848 | py | # Generated by Django 3.2.7 on 2021-10-05 19:13
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Trainers',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=255)),
('last_name', models.CharField(max_length=255)),
('designation', models.CharField(max_length=255)),
('photo', models.ImageField(upload_to='photos/%y/%m/%d/')),
('about_member', models.CharField(max_length=160)),
('created_date', models.DateTimeField(auto_now_add=True)),
],
),
]
| [
"singadkamlesh1112@gmail.com"
] | singadkamlesh1112@gmail.com |
8fa22e266e0395f7382bd4b576c237e3c295500c | 97d4111cdd3b0657c05313eba0f555d4c5b9591a | /python/Find_Cuts.py | 123924453c8190aaac165044998a81a15fd8d9cd | [] | no_license | ViniciusMikuni/ttbb-analysis | 9d2b6fcf5adb4f26f813a0ca479657c5e62201e5 | 5d48e5e03bdd0ca162d3dd058f4ee02ef33a8460 | refs/heads/master | 2021-04-06T02:27:26.282579 | 2020-01-31T11:34:50 | 2020-01-31T11:34:50 | 125,236,195 | 0 | 1 | null | 2020-01-31T11:34:52 | 2018-03-14T15:44:17 | C | UTF-8 | Python | false | false | 1,442 | py | import os
import sys
import ROOT as rt
import tdrstyle
import CMS_lumi
import array
from Plotting_cfg import *
import numpy as np
from math import *
from itertools import product
rt.gROOT.SetBatch(True)
rt.gROOT.LoadMacro("triggerWeightRound.h+")
watch = rt.TStopwatch()
npoints = 2
ntrials = 2
processlist = ['data','ttbar']
interestVar = {
'BDT_CWoLa':np.arange(-1,1,2.0/npoints),
'BDT_Comb':np.arange(-1,1,2/npoints),
#'prob_chi2':np.arange(0,0.006,0.006/npoints)
}
def MakeCuts(rangelist):
cutlist = []
allcuts = []
for var in interestVar:
cut = []
for val in rangelist[var]:
cut.append(var+'[0]>='+str(val))
cutlist.append(cut)
for c in list(product(*cutlist)):
allcuts.append("&&".join(c))
return allcuts
else:
files = []
tree = []
asi = 0
bestcut = 0
rt.ROOT.EnableImplicitMT()
TDF = rt.ROOT.Experimental.TDataFrame
dbkg = TDF('tree',processfiles['data'])
dsig = TDF('tree',processfiles['ttbar'])
allcuts = MakeCuts(interestVar)
for i in range(ntrials):
for l, c in enumerate(allcuts):
sig = dsig.Filter(c).Count().GetValue()*dscale['ttbar']
bkg = dbkg.Filter(c).Count().GetValue() - sig
if sig/sqrt(sig+bkg)>asi:
asi = sig/sqrt(sig+bkg)
bestcut = l
print allcuts[bestcut], 'with significance: ',asi
watch.Print()
| [
"vinicius.mikuni@gmail.com"
] | vinicius.mikuni@gmail.com |
82988061d49923ba2608f9ad81a26352284fa476 | cffd34002a945a7b7df40faea9b61c88c7a6cdb2 | /content/migrations/0002_alter_customuser_options.py | a0acd30726342c49f8f8ec3177fd56aa91f83afd | [] | no_license | binel01/binel_blog_api | c6f21e8c939e912c65f5ab8e49f9960fc9fb24e9 | e939dadcd84cec7a41367d702303ef2c543ca328 | refs/heads/main | 2023-06-15T16:48:21.774169 | 2021-07-18T21:17:12 | 2021-07-18T21:17:12 | 387,239,410 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 382 | py | # Generated by Django 3.2 on 2021-07-18 20:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('content', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='customuser',
options={'verbose_name': 'customuser', 'verbose_name_plural': 'customusers'},
),
]
| [
"binelimanga@gmail.com"
] | binelimanga@gmail.com |
9273d11433c99cd486d59b7efcdbdf73ababd159 | 83ed75056a4fa0a26e363ecf80fdb5390b9abe76 | /web/decisions/subscriptions/__init__.py | ec796c778fac00714e1a872800e4d04f22d29a5c | [
"BSD-3-Clause"
] | permissive | okffi/decisions | a67ef9150dfa8585b82bb95da323e5b354be4532 | e45d8c56cf244ef277ffeba6808e942564028b7f | refs/heads/master | 2021-01-21T13:34:03.416056 | 2016-05-25T09:58:51 | 2016-05-25T09:58:51 | 53,145,413 | 3 | 2 | null | 2016-05-02T11:31:34 | 2016-03-04T15:36:21 | JavaScript | UTF-8 | Python | false | false | 72 | py | default_app_config = 'decisions.subscriptions.apps.SubscriptionsConfig'
| [
"leo.o.honkanen@gmail.com"
] | leo.o.honkanen@gmail.com |
90bd6692ba1c920aebf545909f10a2d5fe660622 | c8036cb365243439b4a3593124eafdfba933a034 | /src/loss/normal_6_class.py | 445ac4273311e941f342bfc5794d5eeaf8cc2e37 | [] | no_license | koike-ya/rsna | 3a1150dc878bde6320ae4c1d965675460dd7de0d | c88c45cfa280b47f0fb48cc9df88954f83a551b4 | refs/heads/master | 2022-03-16T00:36:55.846905 | 2019-11-02T00:49:15 | 2019-11-02T00:49:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,715 | py |
dir_csv = '../../input/'
dir_train_img = '../../input/stage_1_train_pngs/'
dir_test_img = '../../input/stage_1_test_pngs/'
# Parameters
n_classes = 6
n_epochs = 5
batch_size = 32
import glob
import os
from pathlib import Path
import cv2
import numpy as np
import pandas as pd
import pydicom
import torch
import torch.optim as optim
from albumentations import Compose, ShiftScaleRotate, CenterCrop, HorizontalFlip, RandomBrightnessContrast
from albumentations.pytorch import ToTensor
from skimage.transform import resize
from torch.utils.data import Dataset
from tqdm import tqdm as tqdm
from apex import amp
CT_LEVEL = 40
CT_WIDTH = 150
def rescale_pixelarray(dataset):
image = dataset.pixel_array
rescaled_image = image * dataset.RescaleSlope + dataset.RescaleIntercept
rescaled_image[rescaled_image < -1024] = -1024
return rescaled_image
def set_manual_window(hu_image, custom_center, custom_width):
min_value = custom_center - (custom_width / 2)
max_value = custom_center + (custom_width / 2)
hu_image[hu_image < min_value] = min_value
hu_image[hu_image > max_value] = max_value
return hu_image
class IntracranialDataset(Dataset):
def __init__(self, csv_file, data_dir, labels, ct_level=0, ct_width=0, transform=None):
self.data_dir = data_dir
self.data = pd.read_csv(csv_file)
self.transform = transform
self.labels = labels
self.level = ct_level
self.width = ct_width
self.nn_input_shape = (224, 224)
def __len__(self):
return len(self.data)
def resize(self, image):
image = resize(image, self.nn_input_shape)
return image
def fill_channels(self, image):
filled_image = np.stack((image,)*3, axis=-1)
return filled_image
def _get_hounsfield_window(self, dicom):
hu_image = rescale_pixelarray(dicom)
windowed_image = set_manual_window(hu_image, self.level, self.width)
return windowed_image
def _load_dicom_to_image(self, file_path):
dicom = pydicom.dcmread(file_path)
windowed_image = self._get_hounsfield_window(dicom)
image = self.fill_channels(self.resize(windowed_image))
return image
def __getitem__(self, idx):
file_path = os.path.join(self.data_dir, self.data.loc[idx, 'Image'] + '.png')
from pathlib import Path
if not Path(file_path).is_file():
return self.__getitem__(idx + 1)
# img = self._load_dicom_to_image(file_path)
img = cv2.imread(file_path)
if self.transform:
augmented = self.transform(image=img)
img = augmented['image']
if self.labels:
labels = torch.tensor(
self.data.loc[idx, ['epidural', 'intraparenchymal', 'intraventricular', 'subarachnoid', 'subdural', 'any']])
return {'image': img, 'labels': labels}
else:
return {'image': img}
# # CSV
# In[7]:
# CSVs
if __name__ == '__main__':
if not Path('../../src/train.csv').is_file():
train = pd.read_csv(os.path.join(dir_csv, 'stage_1_train.csv'))
test = pd.read_csv(os.path.join(dir_csv, 'stage_1_sample_submission.csv'))
# Split train out into row per image and save a sample
train[['ID', 'Image', 'Diagnosis']] = train['ID'].str.split('_', expand=True)
train = train[['Image', 'Diagnosis', 'Label']]
train.drop_duplicates(inplace=True)
train = train.pivot(index='Image', columns='Diagnosis', values='Label').reset_index()
train['Image'] = 'ID_' + train['Image']
train.head()
# Some files didn't contain legitimate images, so we need to remove them
png = glob.glob(os.path.join(dir_train_img, '*.png'))
png = [os.path.basename(png)[:-4] for png in png]
png = np.array(png)
train = train[train['Image'].isin(png)]
train.to_csv('train.csv', index=False)
# Also prepare the test data
test[['ID','Image','Diagnosis']] = test['ID'].str.split('_', expand=True)
test['Image'] = 'ID_' + test['Image']
test = test[['Image', 'Label']]
test.drop_duplicates(inplace=True)
test.to_csv('test.csv', index=False)
# Data loaders
transform_train = Compose([CenterCrop(200, 200),
#Resize(224, 224),
HorizontalFlip(),
RandomBrightnessContrast(),
ShiftScaleRotate(),
ToTensor()
])
transform_test= Compose([CenterCrop(200, 200),
#Resize(224, 224),
ToTensor()
])
train_dataset = IntracranialDataset(
csv_file='train.csv', data_dir=dir_train_img, transform=transform_train, labels=True)
test_dataset = IntracranialDataset(
csv_file='test.csv', data_dir=dir_test_img, transform=transform_test, labels=False)
data_loader_train = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, shuffle=False, num_workers=8)
data_loader_test = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, shuffle=False, num_workers=8)
device = torch.device("cuda:0")
# device = torch.device("cpu")
# model = torch.hub.load('facebookresearch/WSL-Images', 'resnext101_32x8d_wsl')
model = torch.hub.load('pytorch/vision', 'shufflenet_v2_x1_0', pretrained=True)
model.fc = torch.nn.Linear(1024, n_classes)
model.to(device)
criterion = torch.nn.BCEWithLogitsLoss()
plist = [{'params': model.parameters(), 'lr': 2e-5}]
optimizer = optim.Adam(plist, lr=2e-5)
model, optimizer = amp.initialize(model, optimizer, opt_level="O1")
for epoch in range(n_epochs):
print('Epoch {}/{}'.format(epoch, n_epochs - 1))
print('-' * 10)
model.train()
tr_loss = 0
tk0 = tqdm(data_loader_train, desc="Iteration")
for step, batch in enumerate(tk0):
inputs = batch["image"]
labels = batch["labels"]
inputs = inputs.to(device, dtype=torch.float)
labels = labels.to(device, dtype=torch.float)
outputs = model(inputs)
loss = criterion(outputs, labels)
with amp.scale_loss(loss, optimizer) as scaled_loss:
scaled_loss.backward()
# loss.backward()
tr_loss += loss.item()
optimizer.step()
optimizer.zero_grad()
if epoch == 1 and step > 6000:
epoch_loss = tr_loss / 6000
print('Training Loss: {:.4f}'.format(epoch_loss))
break
epoch_loss = tr_loss / len(data_loader_train)
print('Training Loss: {:.4f}'.format(epoch_loss))
for param in model.parameters():
param.requires_grad = False
model.eval()
test_pred = np.zeros((len(test_dataset) * n_classes, 1))
for i, x_batch in enumerate(tqdm(data_loader_test)):
x_batch = x_batch["image"]
x_batch = x_batch.to(device, dtype=torch.float)
with torch.no_grad():
pred = model(x_batch)
test_pred[(i * batch_size * n_classes):((i + 1) * batch_size * n_classes)] = torch.sigmoid(
pred).detach().cpu().reshape((len(x_batch) * n_classes, 1))
# Submission
submission = pd.read_csv(os.path.join(dir_csv, 'stage_1_sample_submission.csv'))
submission = pd.concat([submission.drop(columns=['Label']), pd.DataFrame(test_pred)], axis=1)
submission.columns = ['ID', 'Label']
submission.to_csv(f'../../output/{Path(__file__).name}_sub.csv', index=False)
submission.head()
| [
"makeffort134@gmail.com"
] | makeffort134@gmail.com |
a9842b561d434c08f0edcb70fe2249ef742611fe | f759794cb30b8ad958544d64859f77700a83e7ab | /turdshovel/commands/dump.py | 99dd5310c1503ab8892a1b11b489f90c73e1ea21 | [
"MIT"
] | permissive | security-kma/turdshovel | 6c209ca9bddf3a054007c76d7bcdaa80430cf66e | 6f9d9b08734028fa819c590e8573ae49481dc769 | refs/heads/main | 2023-09-02T19:12:17.130267 | 2021-11-07T03:50:30 | 2021-11-07T03:50:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,870 | py | import time
from collections import Counter
from typing import List
import orjson
import numpy as np
import System
from nubia import argument, command, context
from rich import inspect
from rich.console import Console
from rich.table import Table
from ..context import TurdshovelContext
from ..core.parsing import parse_obj
@command
class Dump:
"""Dump commands"""
def __init__(self) -> None:
self.ctx: TurdshovelContext = context.get_context()
self.runtime = self.ctx.runtime
self.console: Console = self.ctx.console
@command
@argument(
"filter_", type=List[str], name="filter", description="Filter objects by string"
)
def heap(self, filter_: List[str] = ["."]) -> None:
"""Dumps the objects on the heap"""
if not self.ctx.runtime:
self.console.print("[bold red] No runtime loaded! Load a dump first!")
return
object_table = Table(border_style="#8B4513")
object_table.add_column("Address", style="cyan")
object_table.add_column("Size", style="green")
object_table.add_column("Object", style="yellow", overflow="fold")
for segment in self.runtime.Heap.Segments:
for obj in segment.EnumerateObjects():
if obj.IsValid and not obj.IsFree:
if any(f.lower() in obj.ToString().lower() for f in filter_):
object_table.add_row(
hex(obj.Address),
str(obj.Size),
obj.ToString().rsplit(maxsplit=1)[0],
)
self.console.print(object_table, highlight=True)
@command
@argument(
"sort",
type=str,
choices=["count", "object", "none"],
description="Sort output by count or object",
)
@argument(
"reverse",
type=bool,
description="Reverse sorting output. Only used with sort argument.",
)
@argument(
"filter_", type=List[str], name="filter", description="Filter objects by string"
)
def stat(
self, filter_: List[str] = ["."], sort: str = "none", reverse: bool = False
) -> None:
"""Dumps the count of each object on the heap"""
counter = Counter()
if not self.ctx.runtime:
self.console.print("[bold red] No runtime loaded! Load a dump first!")
return
for segment in self.runtime.Heap.Segments:
for obj in segment.EnumerateObjects():
if obj.IsValid and not obj.IsFree:
if any(f.lower() in obj.ToString().lower() for f in filter_):
counter.update([str(obj.Type)])
if sort == "object":
counter = (
dict(sorted(counter.items(), reverse=True))
if reverse
else dict(sorted(counter.items()))
)
elif sort == "count":
counter = (
dict(reversed(counter.most_common()))
if reverse
else dict(counter.most_common())
)
object_table = Table(border_style="#8B4513")
object_table.add_column("Count", style="cyan")
object_table.add_column("Object", style="yellow", overflow="fold")
for k, v in counter.items():
object_table.add_row(str(v), k)
self.console.print(object_table, highlight=True)
@command
@argument(
"address",
type=str,
positional=True,
description="Address of object to dump. Hex format (0x12345678)",
)
@argument("save", type=bool, description="Save output to disk")
def obj(self, address: str, save: bool = False) -> None:
"""Dumps an object on the heap by address"""
# TODO: Turn this into a decorator for reuse
if not self.ctx.runtime:
self.console.print("[bold red] No runtime loaded! Load a dump first!")
return
address = int(address, 16)
obj = self.runtime.Heap.GetObject(address)
# We only care about valid objects and non-Free objects
if obj.IsValid and not obj.IsFree:
if obj.IsArray:
output = []
obj_list = obj.AsArray()
for idx in range(0, obj_list.Length):
item = obj_list.GetObjectValue(idx)
if not item.IsNull:
output.append(parse_obj(self.runtime, item, self.console))
else:
output = parse_obj(self.runtime, obj, self.console)
output = orjson.dumps(output, default=lambda x: repr(x))
if save:
filename = f"{self.ctx.target_friendly_name}_{hex(address)}_{time.strftime('%Y%m%d-%H%M%S')}.json"
with open(filename, "wb") as save_file:
save_file.write(output)
self.console.print(f"[green bold]Output saved to {filename}")
else:
try:
self.console.print_json(output.decode())
except:
self.console.print(output)
@command
@argument(
"address",
type=str,
positional=True,
description="Address in memory to dump. Hex format (0x12345678)",
)
@argument(
"length", type=int, positional=True, description="Length of bytes to dump"
)
def mem(self, address: str, length: int) -> None:
"""Dumps the memory in bytes at location and for length specified"""
output_span = System.Span[System.Byte](bytes(length))
self.runtime.DataTarget.DataReader.Read(
np.uint64(int(address, 16)), output_span
)
output_str = "".join([f"{i:02x}" for i in output_span.ToArray()])
self.console.print(f"Hex: ", output_str)
self.console.print(f"Bytes: ", bytes.fromhex(output_str))
try:
self.console.print(
f"ASCII: ", bytes.fromhex(output_str).decode(), highlight=False
)
except:
pass
@command
@argument(
"types",
type=List[str],
description="Dump objects by type",
choices=context.get_context().available_obj_types,
)
@argument("save", type=bool, description="Save output to disk")
def type_(self, types: List[str], save: bool = False) -> None:
"""Dumps the objects on the heap by type"""
if not self.ctx.runtime:
self.console.print("[bold red] No runtime loaded! Load a dump first!")
return
for segment in self.runtime.Heap.Segments:
for obj in segment.EnumerateObjects():
if obj.IsValid and not obj.IsFree:
if any(_ == str(obj.Type) for _ in types):
self.obj(hex(obj.Address), save)
| [
"daddycocoaman@gmail.com"
] | daddycocoaman@gmail.com |
b60b249ea8589a40ae6b771023665223f5155759 | f4a903ab7c1cf4794eb68e6dd4585beb6a6fb67f | /capture_email/settings.py | ccd45961818e4d223070bb10c235b0c5a5c20492 | [] | no_license | victorsls/capture_email | 2c659519e1cd0f0bdf056287e7a02adc5acca97a | 3d50c3dc25feb1a9ff66cd3970861d19dd416254 | refs/heads/master | 2020-04-18T13:29:02.510963 | 2019-01-25T15:09:23 | 2019-01-25T15:09:23 | 167,562,771 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,313 | py | """
Django settings for capture_email project.
Generated by 'django-admin startproject' using Django 2.1.5.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
from decouple import config
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = config('SECRET_KEY')
DEBUG = config('DEBUG', default=False, cast=bool)
ALLOWED_HOSTS = config('ALLOWED_HOSTS', cast=lambda v: [s.strip() for s in v.split(',')])
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'capture_email.core',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'capture_email.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'capture_email.wsgi.application'
# Database
# https://docs.djangoproject.com/en/2.1/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.1/topics/i18n/
LANGUAGE_CODE = 'pt-br'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.1/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = os.path.join(BASE_DIR, 'staticfiles')
# MAILCHIMP
MAILCHIMP_KEY = config('MAILCHIMP_KEY')
MAILCHIMP_USER = config('MAILCHIMP_USER')
| [
"victorrafael@vago.online"
] | victorrafael@vago.online |
f45f67405c41b10219c6e8c520535e03f857f815 | 2c338c524996844569a0ae36bb252af2b02e116b | /day_1.py | af5efd1d0f1fd50c37f2e5152d22afb76731f24d | [] | no_license | Thomas-G-Steinberg/advent-of-code-2020 | dbc3cbeb7ef29c9ca1a2031cbfa3d2b63e3e6718 | c3b04cc19cff598e51913618bbe8c1e691458d8e | refs/heads/master | 2023-07-10T15:55:19.777471 | 2021-08-21T18:08:32 | 2021-08-21T18:08:32 | 398,625,139 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,086 | py | from time import perf_counter
def process_args(args):
arglist = []
with open(args[1]) as fil:
for line in fil:
line = line.strip()
if line:
arglist.append(int(line))
return arglist
def part_1(arglist):
for x in arglist:
for y in arglist:
if x+y==2020:
print(x*y)
return
def part_2(arglist):
prod = 1
for x in arglist:
for y in arglist:
for z in arglist:
if x+y+z==2020:
print(x*y*z)
return
def main(args):
arglist = process_args(args)
print("Part 1")
p1time = perf_counter()
part_1(arglist)
p1time = perf_counter() - p1time
print("({} ms)".format(int(p1time*100000)/100))
print("Part 2")
p2time = perf_counter()
part_2(arglist)
p2time = perf_counter() - p2time
print("({} ms)".format(int(p2time*100000)/100))
return 0
if __name__ == '__main__':
import sys
sys.exit(main(sys.argv)) | [
"67569229+Thomas-G-Steinberg@users.noreply.github.com"
] | 67569229+Thomas-G-Steinberg@users.noreply.github.com |
4d0508e30885cf44a76ce69e38cfca87985c97eb | 0be02fc1ba339cfc895e79ac4f51b9e5c685ac79 | /objects.py | 89ca8b38f1c6c33398f6ece546cca0fd4e2f4ec9 | [] | no_license | ezzatisawesome/python-practice | 53afc04d7871d6f11e721b41d0bce72d64c9497b | 1255ac842998f3aac21a8273d2a71ab6d0fd2671 | refs/heads/master | 2023-04-09T21:01:53.932381 | 2016-06-18T19:04:46 | 2016-06-18T19:04:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,157 | py | class Parent:
"""A class representing a parent"""
def __init__(self, fName="",lName=""):
self.fName = fName
self.lName = lName
fName = ""
lName = ""
def printName(self):
print("Full Name: " + self.fName + " " + self.lName)
class Mom(Parent):
"""A class representing a mom"""
def __init__(self, fName="", lName="", dressSize=0):
self.dressSize = dressSize
self.fName = fName
self.lName = lName
dressSize = -1
def printInfo(self):
self.printName()
print("Dress Size: " + str(self.dressSize))
class Dad(Parent):
"""A class representing a dad"""
def __init__(self, fName="", lName="", numScrewdrivers=0):
self.numScrewdrivers = numScrewdrivers
self.fName = fName
self.lName = lName
numScrewdrivers = -1
def printInfo(self):
self.printName()
print("Number of screwdrivers: " + str(self.numScrewdrivers))
class Pet():
"""A class representing a pet"""
def __init__(self, name=""):
self.name = name
name = ""
def printName(self):
print('Name: ' + self.name)
class Cat(Pet):
"""A class representing a cat"""
def __init__(self, name="", color="unknown"):
self.name = name
self.color = color
color = ""
def printInfo(self):
self.printName()
print('Color: ' + self.color)
class Dog(Pet):
"""A class representing a dog"""
def __init__(self, name="Dog", pantingRate=-1):
self.name = name
self.pantingRate = pantingRate
pantingRate = -1
def printInfo(self):
self.printName()
print('Panting rate: ' + str(self.pantingRate))
# Declare test objects
testParent = Parent('Pewdie', 'Pie')
testMom = Mom('Cruella', 'Deville', 12)
testDad = Dad('Arnold', 'Schwarzeneggar', 15)
testCat = Cat('Fluffly', 'yellow and pink')
testDog = Dog('Max', 100)
# Print info about test objects
print('***Printing info about test objects***\n')
testParent.printName()
testMom.printInfo()
testDad.printInfo()
testCat.printInfo()
testDog.printInfo()
input()
| [
"weirdo weirdness"
] | weirdo weirdness |
3034e22db3590a3232dd046d24f8618aed25a471 | 396c4a3b5bd37d0e11c436209fa84906ab3edc69 | /LogisticServer/transaction/constants.py | 75f115bea4b64daa89955803870d8ae7138da09f | [] | no_license | Sonal305/Major-Project | 85a2357eeb6048aedc780688edb6d3d8c81efb61 | d86d4063d4dddf4a5b35da878f37068df6e929e7 | refs/heads/master | 2023-04-01T11:47:37.531344 | 2021-04-07T09:55:10 | 2021-04-07T09:55:10 | 355,492,689 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,308 | py | contractAddress= '0x3c8092C319F87264f20933aD9EeBda977854fcC5'
abi = '[{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getBOL_No","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getCarrier","outputs":[{"components":[{"internalType":"string","name":"CarrierName","type":"string"},{"internalType":"uint256","name":"TrailerNumber","type":"uint256"},{"internalType":"uint256","name":"SealNumber","type":"uint256"},{"internalType":"uint256","name":"SCAD","type":"uint256"},{"internalType":"uint256","name":"ProNumber","type":"uint256"}],"internalType":"struct Carrier","name":"","type":"tuple"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getCarrierInformation","outputs":[{"components":[{"internalType":"uint256","name":"HandlingUnitQuantity","type":"uint256"},{"internalType":"bool","name":"HandlingUnitTyoe","type":"bool"},{"internalType":"uint256","name":"PackageQuantity","type":"uint256"},{"internalType":"bool","name":"PackageType","type":"bool"},{"internalType":"uint256","name":"Weight","type":"uint256"},{"internalType":"bool","name":"HM","type":"bool"},{"internalType":"string","name":"Description","type":"string"},{"internalType":"string","name":"NMFC","type":"string"},{"internalType":"string","name":"Class","type":"string"}],"internalType":"struct CarrierInformation[]","name":"","type":"tuple[]"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getCharges","outputs":[{"components":[{"internalType":"string","name":"FreightChargeTerms","type":"string"},{"internalType":"uint256","name":"Perpaid","type":"uint256"},{"internalType":"uint256","name":"Collect","type":"uint256"},{"internalType":"uint256","name":"_3rdPartyCharges","type":"uint256"},{"internalType":"uint256","name":"MasterBOL","type":"uint256"}],"internalType":"struct Charges","name":"","type":"tuple"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getDate","outputs":[{"internalType":"string","name":"","type":"string"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getGrandTotal","outputs":[{"internalType":"uint256","name":"","type":"uint256"},{"internalType":"uint256","name":"","type":"uint256"},{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getOrderInformation","outputs":[{"components":[{"internalType":"uint256","name":"OrderNumber","type":"uint256"},{"internalType":"uint256","name":"NumberOfPackage","type":"uint256"},{"internalType":"uint256","name":"Weight","type":"uint256"},{"internalType":"uint256","name":"Pallet","type":"uint256"},{"internalType":"uint256","name":"Cost","type":"uint256"},{"internalType":"string","name":"AdditionalInformation","type":"string"}],"internalType":"struct OrderInformation[]","name":"","type":"tuple[]"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getOrderSnapshot","outputs":[{"internalType":"string","name":"","type":"string"},{"internalType":"string","name":"","type":"string"},{"internalType":"bool","name":"","type":"bool"},{"internalType":"uint256","name":"","type":"uint256"},{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getScanDetails","outputs":[{"internalType":"uint256","name":"","type":"uint256"},{"internalType":"uint256","name":"","type":"uint256"},{"internalType":"string","name":"","type":"string"},{"internalType":"string","name":"","type":"string"},{"internalType":"string","name":"","type":"string"},{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getShipFrom","outputs":[{"components":[{"internalType":"string","name":"Name","type":"string"},{"internalType":"string","name":"Address","type":"string"},{"internalType":"string","name":"City","type":"string"},{"internalType":"string","name":"State","type":"string"},{"internalType":"uint256","name":"Zip","type":"uint256"},{"internalType":"uint256","name":"SID","type":"uint256"},{"internalType":"bool","name":"FOB","type":"bool"},{"internalType":"uint256","name":"userId","type":"uint256"},{"internalType":"address","name":"userAddress","type":"address"}],"internalType":"struct ShipFrom","name":"","type":"tuple"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getShipTo","outputs":[{"components":[{"internalType":"string","name":"Name","type":"string"},{"internalType":"string","name":"Address","type":"string"},{"internalType":"string","name":"City","type":"string"},{"internalType":"string","name":"State","type":"string"},{"internalType":"uint256","name":"Zip","type":"uint256"},{"internalType":"uint256","name":"Location","type":"uint256"},{"internalType":"bool","name":"FOB","type":"bool"},{"internalType":"uint256","name":"userId","type":"uint256"},{"internalType":"address","name":"userAddress","type":"address"}],"internalType":"struct ShipTo","name":"","type":"tuple"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getShipmentAgency","outputs":[{"internalType":"uint256","name":"","type":"uint256"},{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getThirdPartyDetails","outputs":[{"components":[{"internalType":"string","name":"Name","type":"string"},{"internalType":"string","name":"Address","type":"string"},{"internalType":"string","name":"City","type":"string"},{"internalType":"string","name":"State","type":"string"},{"internalType":"uint256","name":"Zip","type":"uint256"},{"internalType":"uint256","name":"AppointmentNo","type":"uint256"},{"internalType":"string","name":"Date","type":"string"},{"internalType":"string","name":"DeliveryInstruction","type":"string"}],"internalType":"struct ThirdPartyDetails","name":"","type":"tuple"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"getTrackingData","outputs":[{"components":[{"internalType":"string","name":"date","type":"string"},{"internalType":"string","name":"time","type":"string"},{"internalType":"string","name":"longitude","type":"string"},{"internalType":"string","name":"latitude","type":"string"},{"internalType":"string","name":"reporterCompanyName","type":"string"},{"internalType":"bool","name":"approved","type":"bool"},{"internalType":"string","name":"remarks","type":"string"}],"internalType":"struct TrackingData[]","name":"","type":"tuple[]"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"}],"name":"payEther","outputs":[],"stateMutability":"payable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"uint256","name":"amount","type":"uint256"}],"name":"recievePayment","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"uint256","name":"_BOL_No","type":"uint256"}],"name":"setBOL_No","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_CarrierName","type":"string"},{"internalType":"uint256","name":"_TrailerNumber","type":"uint256"},{"internalType":"uint256","name":"_SealNumber","type":"uint256"},{"internalType":"uint256","name":"_SCAD","type":"uint256"},{"internalType":"uint256","name":"_ProNumber","type":"uint256"}],"name":"setCarrier","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"uint256","name":"_HandlingUnitQuantity","type":"uint256"},{"internalType":"bool","name":"_HandlingUnitTyoe","type":"bool"},{"internalType":"uint256","name":"_PackageQuantity","type":"uint256"},{"internalType":"bool","name":"_PackageType","type":"bool"},{"internalType":"uint256","name":"_Weight","type":"uint256"},{"internalType":"bool","name":"_HM","type":"bool"},{"internalType":"string","name":"_Description","type":"string"},{"internalType":"string","name":"_NMFC","type":"string"},{"internalType":"string","name":"_Class","type":"string"}],"name":"setCarrierInformation","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_FreightChargeTerms","type":"string"},{"internalType":"uint256","name":"_Perpaid","type":"uint256"},{"internalType":"uint256","name":"_Collect","type":"uint256"},{"internalType":"uint256","name":"__3rdPartyCharges","type":"uint256"},{"internalType":"uint256","name":"_MasterBOL","type":"uint256"}],"name":"setCharges","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_date","type":"string"}],"name":"setDate","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"uint256","name":"_OrderNumber","type":"uint256"},{"internalType":"uint256","name":"_NumberOfPackage","type":"uint256"},{"internalType":"uint256","name":"_Weight","type":"uint256"},{"internalType":"uint256","name":"_Pallet","type":"uint256"},{"internalType":"string","name":"_AdditionalInformation","type":"string"},{"internalType":"uint256","name":"_Cost","type":"uint256"}],"name":"setOrderInformation","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_Name","type":"string"},{"internalType":"string","name":"_Address","type":"string"},{"internalType":"string","name":"_City","type":"string"},{"internalType":"string","name":"_State","type":"string"},{"internalType":"uint256","name":"_Zip","type":"uint256"},{"internalType":"uint256","name":"_SID","type":"uint256"},{"internalType":"bool","name":"_FOB","type":"bool"},{"internalType":"uint256","name":"_userId","type":"uint256"},{"internalType":"address","name":"_userAddress","type":"address"}],"name":"setShipFrom","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_Name","type":"string"},{"internalType":"string","name":"_Address","type":"string"},{"internalType":"string","name":"_City","type":"string"},{"internalType":"string","name":"_State","type":"string"},{"internalType":"uint256","name":"_Zip","type":"uint256"},{"internalType":"uint256","name":"_Location","type":"uint256"},{"internalType":"bool","name":"_FOB","type":"bool"},{"internalType":"uint256","name":"_userId","type":"uint256"},{"internalType":"address","name":"_userAddress","type":"address"}],"name":"setShipTo","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"uint256","name":"_shipmentAgencyId","type":"uint256"},{"internalType":"address","name":"_shipmentAgencyAddress","type":"address"}],"name":"setShipmentAgency","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_Name","type":"string"},{"internalType":"string","name":"_Address","type":"string"},{"internalType":"string","name":"_City","type":"string"},{"internalType":"string","name":"_State","type":"string"},{"internalType":"uint256","name":"_Zip","type":"uint256"},{"internalType":"uint256","name":"_AppointmentNo","type":"uint256"},{"internalType":"string","name":"_Date","type":"string"},{"internalType":"string","name":"_DeliveryInstruction","type":"string"}],"name":"setThirdPartyDetails","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"string","name":"shipmentID","type":"string"},{"internalType":"string","name":"_date","type":"string"},{"internalType":"string","name":"_time","type":"string"},{"internalType":"string","name":"_longitude","type":"string"},{"internalType":"string","name":"_latitude","type":"string"},{"internalType":"string","name":"_reporterCompanyName","type":"string"},{"internalType":"bool","name":"_approved","type":"bool"},{"internalType":"string","name":"_remarks","type":"string"}],"name":"setTrackingData","outputs":[],"stateMutability":"nonpayable","type":"function"}]' | [
"sonalagrawal1515@gmail.com"
] | sonalagrawal1515@gmail.com |
586a5cbeea1d2983ce82e60cd7eb36d91fed2790 | aabff8fe30664a77853f0452d9ffa8cf81245710 | /main.py | fd4e8158306db52237db1069974fb71be78c183d | [] | no_license | devansh-srivastav/licence_plate_detection | c90dfc48152be993a68c9c948b24ca3c23976bdc | 4dc8ed1ff00e5ef5b16eda3bf5ce43267b5986e7 | refs/heads/master | 2022-08-01T00:29:33.117314 | 2020-05-27T16:49:34 | 2020-05-27T16:49:34 | 267,373,533 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,097 | py | import cv2 as cv
import os
from process_images import ProcessVehicleImage
from process_images import ProcessNumberPlateImage
from process_images import write_on_image
from segment_characters import segmentation
from predict_characters import predict
image_number = 1
image_extension = '.jpg'
image_path = "car_images/" + str(image_number) + image_extension
root_path = os.getcwd()
results_path = os.path.join(root_path, "results")
target_path = os.path.join(results_path, str(image_number))
character_path = os.path.join(target_path, 'number_plate_characters')
threshold_character_path = os.path.join(target_path, 'number_plate_characters_threshold')
def create_dirs():
if not os.path.exists(results_path):
os.mkdir(results_path)
if not os.path.exists(target_path):
os.mkdir(target_path)
if not os.path.exists(character_path):
os.mkdir(character_path)
if not os.path.exists(threshold_character_path):
os.mkdir(threshold_character_path)
def main():
vehicle_image = cv.imread(image_path)
create_dirs()
vi = ProcessVehicleImage(vehicle_image)
vi.preprocess()
vi.get_contours()
vi.detect_plate()
vi.plot_and_save(target_path)
number_plate_image = vi.get_number_plate()
npi = ProcessNumberPlateImage(number_plate_image)
npi.preprocess()
npi.plot_and_save(target_path)
threshold_number_plate_image = npi.get_number_plate_threshold()
segmentation(number_plate_image.copy(), threshold_number_plate_image.copy(),
target_path, character_path, threshold_character_path)
registration_number = predict(threshold_character_path)
write_on_image(vehicle_image.copy(), registration_number, target_path)
create_file(registration_number)
def create_file(registration_number):
file_path = os.path.join(target_path, 'registration_number.txt')
file = open(file_path, 'w')
file.write(registration_number)
file.close()
if __name__ == "__main__":
main() | [
"noreply@github.com"
] | noreply@github.com |
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