index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
400 | 68f3d3fce52d08381adc522ee032ef3181aec82a | # Generated by Django 2.2.3 on 2019-07-27 10:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('beerFriends', '0006_auto_20190726_1504'),
]
operations = [
migrations.AlterField(
model_name='beer',
name='rating',
... |
401 | 4775bef3623497e9bbe79ca2d4e9e9da0422c450 | #
#
#
# ------------------------------------------------------------------------------------------------------------------------------
#
# This program have been developed by Hamed Noori and with citiation of the related publicaitons
# can be used without permission.
# This program is for a novel architecture f... |
402 | 8102bdf4d29d2d3a1bdddbcfb6045b0660693996 | import os
import time
import argparse
import cPickle as pickle
from definitions import OieFeatures
from definitions.OieExample import OieExample
class FeatureLexicon:
"""
A wrapper around various dictionaries storing the mined data. It holds 5 dictionaries in total. Two of them store
mappings\n
- str ... |
403 | d82412055affc96d634957c953a35ea69b7e702f | '''Turning on or off, toggling and checking the status' of a specific relay'''
#!/bin/env python3
from time import sleep
from gpiozero import LED
RELAYS = [
LED(23),
LED(24),
LED(25),
LED(8),
LED(7),
LED(1),
LED(12),
LED(16)
]
def on_action(relay_option, number):
'''To turn on t... |
404 | 862b529741d9c3e6cf7ca50272c8af724c56ac62 | from wasserstoff.wasserstoff import Config, Environment
__all__ = ['Config', 'Environment']
|
405 | 6d25b0fedf0d5081a3a0a93ddacc49748464d9d0 | # Required python libraries for attack.py
import socket
import os
import sys
from termcolor import colored
import StringIO
import time
# need to find Python equivalent libraries for these
import stdio
import stdlib
import unistd
# need to find Python equivalent libraries for these
import includes
import killer
impor... |
406 | e57b30a7a1cf987918abfb3cb7d612bdead2ddcd | from django.db import models
# Create your models here.
class Airlines(models.Model):
flight_number=models.CharField(max_length=8,unique=True)
airlines_id=models.CharField(max_length=10)
source=models.CharField(max_length=20)
destination=models.CharField(max_length=20)
departure=models.TimeField()
arrival=models... |
407 | 2827a56c12c1e15a6fe26ce182aa07d76735d77f | '''
MDSANIMA Setup
'''
import sys
import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
CURRENT_PYTHON = sys.version_info[:2]
REQUIRED_PYTHON = (3, 6)
# This check and everything above must remain compatible with Python 2.7.
if CURRENT_PYTHON < REQUIRED_PYTHON:
sys.stde... |
408 | d4ac5c6f08e9baa458fbe0ca7aa90c4d9372844f | import h5py
import numpy as np
#import tracking
dt = h5py.special_dtype(vlen=bytes)
def stringDataset(group, name, data, system=None):
dset = group.create_dataset(name, (1,), dtype=dt, data=data)
if system:
addSystemAttribute(dset, system)
return dset
def addStringAttribute(dset_or_group, name, d... |
409 | 4d388c912915c3f1f9e433f1342289f0864b3a11 | #/usr/bin/python
# File: UdpClient.py
# Author: David Zemon
# Project: Project1
#
# Created with: PyCharm Community Edition
"""
@description:
"""
__author__ = 'david'
import logging
from src.UDP import UDPClient
logging.basicConfig(level="DEBUG")
serverName = '127.0.0.1'
serverPort = 12000
client = UDPClient()... |
410 | cd5945631a9dd505bf67089bab8c5a37ad375129 | import pandas as pd
df1 = pd.read_csv("../final/your_no.tsv", '\t')
df2 = pd.read_csv("../../Downloads/me.csv", '\t')
final = pd.concat([df1, df2])
final.to_csv('../../Downloads/final_con_final.tsv', sep='\t', index=False)
|
411 | 16b425d7b8cde1aabe038ccae6922091afb84415 |
# coding: utf-8
# In[1]:
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import numpy as np
from pandas import DataFrame, Series
import os, re
# In[2]:
OUTPUT_EXCEL = '์๋ณ์๋ด์ฝํ์ฌ์ฉํํฉ.xlsx'
# In[3]:
# ๋ฐ์ดํ์
์ค๋น
data_source_dir = '์ฌ์ฉ๋์๋ณํต๊ณ/์๋ด'
dfs = []
for fname in os.listdir(data_source_dir):
... |
412 | 0eaaa81d3c8bc61368701e1916b42ede88b90d04 | # EXERCISE:
# Plotting distributions pairwise (2)
# In this exercise, you will generate pairwise joint distributions again. This time, you will make two particular
# additions:
# - You will display regressions as well as scatter plots in the off-diagonal subplots. You will do this with the
# argument kind='reg' (whe... |
413 | 27e9635adf6109f3ab13b9d8dd5809973b61ca03 | #Web Scraping
#Make sure you have bs4, webbrowser and request installed as your third party modules
import bs4, webbrowser, requests
try:
data = requests.get("http://en.wikipedia.org/wiki/Python")
data.raise_for_status()
my_data = bs4.BeautifulSoup(data.text, "lxml")
print("List o... |
414 | f5f26819be4b98fab3d46e57e1a5431e54342aed |
# coding: utf-8
"""Supporting model logic for predicting emotional content of user input.
"""
import pandas as pd
import gensim
from sklearn.model_selection import train_test_split
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import LinearSVC
#load data for emo2vec
loc = 'https://s3-us-west-1.a... |
415 | d2e46944ab05c5e8c1979101728b7b25900be342 | import pytest
from time import sleep
from timeflux.helpers.background import Task
class DummyWorker():
def echo(self, message='hello', delay=0, fail=False):
sleep(delay)
if fail: raise Exception('failed')
self.message = message
return(self.message)
def test_default(working_path):
... |
416 | b2f2f1e4b7070ac867b71e538f759e527eb1ffb9 | from pymouse import PyMouse
m = PyMouse()
w,h = m.screen_size()
class base_controller:
def __init__(self):
pass
def move(self,xy:list):
'''
็งปๅจ
'''
m.move(xy[0]*w,xy[1]*h)
def click(self, xy:list):
'''
็นๅป
'''
m.click(xy[0]*w,xy... |
417 | ec9efeca7eef7b8ee25c1e089e675bdb1e53413b | # -*- coding:utf-8 -*-
# Author: washing
# DateTime: 2022/5/18 10:28
# File: 0668.py
# Desc: CV
class Solution:
def findKthNumber(self, m: int, n: int, k: int) -> int:
return bisect_left(range(m * n), k, key=lambda x: x // n * n + sum(x // i for i in range(x // n + 1, m + 1)))
|
418 | 13342922022f0a0e8928c81c1c4716125af0b2c4 | import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['savefig.dpi'] = 300 #ๅพ็ๅ็ด
plt.rcParams['figure.dpi'] = 300 #ๅ่พจ็
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['axes.unicode_minus'] = False
x_axis = [20,40,60,80,100]
rf = [184,174,166,159,157.5]
anns = [186,179,170,164,161]
adaboost = [187.5,1... |
419 | cb08b95e3b9c80fb74d4415b3798ddbb36cd76e7 | import unittest
"""
Find the largest 0 to 9 pandigital that can be formed by concatenating products
Take the number 6 and multiply it by each of 1273 and 9854:
6 ร 1273 = 7638
6 ร 9854 = 59124
By concatenating these products we get the 1 to 9 pandigital 763859124. We will call 763859124 the "concatenated product of ... |
420 | 63a40282f16a7f27c118594f1a9468749682594f | import requests
import os
from jpmesh import parse_mesh_code
from tqdm import tqdm
url_login='https://platform.openquake.org/account/login/'
client = requests.session()
client.get(url_login)
# Identification for openquake platform
login_data = {'username':'###','password':'###'}
r1=client.post(url_login,data=login_dat... |
421 | e695b9458c0e98521e560dbb291f6f05bda1549f | from savers.saver import SaverInterface
import os
from config import SaverConfig
import mysql.connector
import json
import logging
class SQLSaver(SaverInterface):
# This class takes in json files and will interpret the jsons as follows.
# {'tablename':[{'columnname01':'somevalue','columnname02':'somevalue'},{'columnana... |
422 | c55991e738c89ee09dabd79d514e710e0fcbac85 | from splinter import Browser
from time import sleep
from datetime import datetime, timedelta
import os, sys
import urllib
import cv2
import numpy as np
from PIL import Image
import imutils
import csv
class Scraper():
start_date = datetime(2018, 1, 8)
url = 'http://spaceweather.com/'
def scrape(self):
... |
423 | b767519229058b50183d78bb97121f050e5b6bad | # defining private variables
class Privacy:
def __init__(self, val):
self.__val = 900;
print("Private data member =",self.__val,"\n")
value = Privacy(800);
print("Value not changable\n")
value.__val;
|
424 | b679444fde7cd8eb819443922f37ee54c0f29de4 | from pirates.teleport.AreaTeleportActor import AreaTeleportActor
class DoorTeleportActor(AreaTeleportActor):
pass
|
425 | f714c7006f50379cc7508a13d710d902d38d2d1f | import torch
import torch.nn as nn
import torch.nn.functional as F
# Const. low-rank version
class xCNNlow(torch.nn.Module):
def __init__(self, channels, filters, kernel_size, padding=0, stride=1, groups=1, rank=1, bias=True):
super(xCNNlow, self).__init__()
self.filters = filters
self.time... |
426 | 726f133bcf592315c42f8701be8308422ffbf0d9 |
from flask import Flask, render_template
from flask_ask import Ask, statement, question, session
import reverse_geocoder as rg
from geopy import distance
from geopy.geocoders import Nominatim
import requests
import time
'''
:::::::: ::::::::: ::: :::::::: :::::::::: ::: ::: ::: ::: ... |
427 | cae49da8dd436fc51b472c4a88703d8bc6c79bda | import SCons.Util
import xml.dom.minidom, re, os.path
################################################################################
# DocBook pseudobuilder
# TODO: Only generate the output formats that are known
################################################################################
def generate(env) :
... |
428 | c139cbc3e693d75ad196e10257ff3028aa835709 | # Complete the hurdleRace function below.
def hurdleRace(k, height):
if k < max(height):
return max(height) - k
return 0
print(hurdleRace(2, [2,5,4,5,2]))
|
429 | 77971b088a7e076e3bf6d7aa320981a50e7756ce | from flask import Flask
from flask_ask import Ask, statement, question, session
# import json, requests
import random
app = Flask(__name__)
ask = Ask(app, "/")
def get_cat_fact():
myFacts = [
"Cats should not be fed tuna exclusively, as it lacks taurine, an essential nutrient required for good feline hea... |
430 | 124d7da330aa7c869320e10f4f89cc1c872f85f2 | import matplotlib.pyplot as plt
import sys
sys.path.append('coin_flipping_src')
from monte_carlo import monte_carlo
from probability import probability
plt.style.use('bmh')
x_coords = range(10)
probablility_results = [probability(x,10) for x in x_coords]
plt.plot(x_coords,probablility_results,linewidth = 2.5)
# plt.plo... |
431 | 502da0f0dafe42d3464fabb1d92ae1b0d7ef11f3 | # Check given matrix is valid sudoku or Not.
|
432 | 4e31c2a80bec77a1f5aafc8a91617fb4b2941788 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Author: Andrรฉ Pacheco
E-mail: pacheco.comp@gmail.com
This file implements the methods and functions to load the image as a PyTorch dataset
If you find any bug or have some suggestion, please, email me.
"""
from PIL import Image
from torch.utils import data
import t... |
433 | 6454790c98b254edeead4e68ef7f5760c9105a57 | #!/usr/bin/python
#
# Dividend!
#
import os
import sys
import urllib2
import math
import numpy
from pylab import *
#
# Dividend adjusted! ... |
434 | 75133dd924f8f3f028075c5d2109bb79ddc7fe87 | import pymysql
def testeSelect(db):
#ๅๅปบๆฅ่ฏขๆธธๆ
cur1 = db.cursor()
# ไฝฟ็จ execute() ๆนๆณๆง่ก SQL ๆฅ่ฏข
cur1.execute("SELECT VERSION()")
# ไฝฟ็จ fetchone() ๆนๆณ่ทๅๅๆกๆฐๆฎ.
data = cur1.fetchone()
print(dir(data))
print ("cur1 : %s " % cur1)
print ("Database version : %s " % data)
def dropTable(db):
#ๅๅปบๆฅ่ฏขๆธธๆ
cur1 = db.curs... |
435 | fcc73647a5e841bcb5ea4fcd06579cc6912cfe1e | #!/usr/bin/env python
import os
import re
import pycolor
import sys
pyc = pycolor.pyColor()
def decompile(mainapk):
print pyc.Info("Decompiling apks...")
os.system("bash apktool.sh d -f %s"%mainapk)
os.system("bash apktool.sh d -f temp.apk")
def inject(mainapk):
print pyc.Info("Injecting payload...")
mk = "mkd... |
436 | de347b41cd88947690cb42e043880a80d81e2c5c | # Generated by Django 3.2.7 on 2021-09-11 19:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cryptocurrency', '0012_rename_cancel_exists_order_cancel_exist'),
]
operations = [
migrations.AlterField(
model_name='order',
... |
437 | c26bdc3f47aa9ac0cda0334e97bdaf3f9d56eb6c | import re
import os
import base64
os.popen("tshark -r log.pcap -d 'tcp.port==57000,http' -d 'tcp.port==44322,http' -d 'tcp.port==44818,http' -Y 'data-text-lines' -Tfields -e http.file_data > request")
def evals(text):
template = "{}\['__doc__'\]\[\d+\]"
keys = map(str, range(10))
keys += ['\[\]','\(\)',"'... |
438 | 8e85740123467889bdeb6b27d5eaa4b39df280ed | from .celery import app
from home.models import Banner
from settings.const import BANNER_COUNT
from home.serializers import BannerModelSerializer
from django.core.cache import cache
from django.conf import settings
@app.task
def update_banner_list():
# ่ทๅๆๆฐๅ
ๅฎน
banner_query = Banner.objects.filter(is_delete=Fals... |
439 | a2421a8673a524c32539555596711a71a8e00dbf | import os
import argparse
import torch
import model.model as module_arch
from utils.util import remove_weight_norms
from train import get_instance
from librosa import load
from librosa.output import write_wav
from time import time
def main(config, resume, infile, outfile, sigma, dur, half):
# build model architec... |
440 | 23a560c5f5553fc32329121ea47f8a7ae1196889 | import requests
import time
while 1:
r = requests.put("http://localhost:3000/api/4", data={"temperature": 24, "led": 1})
print r.text
time.sleep(1) |
441 | 6154979cd2853dd2bd26d1ae5df7365efa0141c2 | from sqlalchemy import Column, MetaData, Table, BigInteger, String, DateTime, Integer
from migrate import *
meta = MetaData()
table = Table(
'accesses', meta,
Column('id', BigInteger, primary_key=True, nullable=False),
Column('uuid', String(255), nullable=False),
Column('created_at', DateTime),
)
def... |
442 | 813354c9c294c0323c1b54cda7074fbffa49cdb3 | from django.utils import timezone
from factory import DjangoModelFactory
from djtriggers.tests.models import DummyTrigger
class DummyTriggerFactory(DjangoModelFactory):
class Meta:
model = DummyTrigger
trigger_type = 'dummy_trigger_test'
source = 'tests'
date_received = timezone.now()
da... |
443 | aebc918d6a1d1d2473f74d77b8a915ac25548e3a | import cachetools
cache = cachetools.LRUCache(maxsize = 3)
cache['PyCon'] = 'India'
cache['year'] = '2017'
print("Older: " + cache['year'])
cache['year'] = '2018'
print("Newer: " + cache['year'])
print(cache)
cache['sdate'] = '05/09/2018'
print(cache)
cache['edate'] = '09/09/2018'
print(cache) |
444 | d7ce6efa72c9b65d3dd3ce90f9d1f2dd8a889d26 |
'''
syntax of if-elif-else
if <condition> :
code to be
executed in
this condition
elif <new condition> :
cdode tbd
some code
else :
code runs in the else condigtion
this can all be multiline code
'''
a = 3
b = 2
if a == b :
print "Values are equal"
elif a < b :
print "a is less than b"
else:
print "b... |
445 | cd234911c1f990b8029dfa792d132847bf39a6aa |
import math
def vol_shell(r1, r2):
a=abs((4/3)*math.pi*((r1**3)-(r2**3)))
return round(a,3)
print(vol_shell(3,3))
|
446 | 7b5713c9a5afa911df1c2939751de30412162f15 | from collections import OrderedDict
import copy
import numpy as np
from scipy.optimize import curve_fit
from ... import Operation as opmod
from ...Operation import Operation
from ....tools import saxstools
class SpectrumFit(Operation):
"""
Use a measured SAXS spectrum (I(q) vs. q),
to optimize the param... |
447 | 595912753d778a0fa8332f0df00e06a9da5cde93 | ################################################################################
# #
# This file is part of the Potato Engine (PE). #
# ... |
448 | 3b42e218acf1c93fab3a0893efa8bf32a274eb23 | # Generated by Django 2.2.6 on 2019-11-13 13:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('interface', '0010_auto_20191104_2107'),
]
operations = [
migrations.AlterField(
model_name='submission',
name='revie... |
449 | 13b69ec61d6b2129f1974ce7cae91c84100b3b58 | import tensorflow.keras
from PIL import Image, ImageOps
from os import listdir
from os.path import isfile, join
import numpy as np
import glob
import cv2
np.set_printoptions(suppress = True)
# Load the model
model = tensorflow.keras.models.load_model('./converted_keras/keras_model.h5')
# Create the array of the righ... |
450 | 68d537cb8488ae4f2c8300e885be78540952dec0 | #!/usr/bin/env python2
# coding=utf8
from __future__ import absolute_import, division, print_function
from sqlalchemy import func
from walis.model.walis import walis_session
from walis.model.zeus import zeus_session, zeus_db_handler
from walis.model.zeus.activity import (
SubsidyProcessRecord,
SubsidyPayReco... |
451 | a32fb683f8d46f901e8dcd2d075ace22ee81e076 | import base64
import string
def hexStringtoBytes(hexstring):
byteArray = bytes.fromhex(hexstring)
return byteArray
def xorBytes(bytes1, bytes2):
xored = bytes([x^bytes2[i] for i,x in enumerate(bytes1)])
return xored
def xorAgainstCharacter(byteArray, character):
str2 = [ord(character)] ... |
452 | b9c058bdb04df93beb379d05939b00f4db423cd3 | import string
import random
import os
from threading import Thread
class Process(Thread):
def __init__(self):
Thread.__init__(self)
def run(self):
while True:
prenom = id_generator(random.randint(4, 8))
nom = id_generator(random.randint(4, 8))
password = id_... |
453 | 9b581df505765e895047584c5bb586faef95295f | import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table as dt
import plotly.express as px
import pandas as pd
import plotly.graph_objects as go
import numpy as np
from datetime import datetime as dat
from sklearn.model_selection import train_test_split
from sklearn... |
454 | fdcee5b3f6b3ec170c9ef3017e0cc6c4b28cf22d | from django.contrib import admin
from .models import Advert, Category, ImageAd
@admin.register(Advert)
class AdminAdvert(admin.ModelAdmin):
filter_horizontal = "categories",
@admin.register(Category)
class AdminCategory(admin.ModelAdmin):
pass
@admin.register(ImageAd)
class AdminImageAd(admin.ModelAdmin)... |
455 | ae5f87f1c383478ea5f370af1c85d63a472a7788 | #Array In Python
from array import array
numbers = array("i",[1,2,3])
numbers[0] = 0
print(list(numbers))
|
456 | 9c05b39a12ab29db99397e62315efddd8cdf1df4 | dict1 = [
{'a':1},
{'a':2},
{'a':3}
]
a = dict1[1]['a']
# print(a)
correlation_dict = {'${class_id}':123}
data = {'token': '${self.token}', 'name': 'apiๆต่ฏ','class_id': '${class_id}'}
for k in data:
for key in correlation_dict:
if data[k] in key:
data[k] = correlation_dict[key]
pr... |
457 | 2467825d2cb01c86d3ba27562decc12551877af1 | """
Script: coverage.py
Identifies domains that only occur in multi-domain proteins. The main
script is master.
--------------------
Felix A Kruger
momo.sander@ebi.ac.uk
"""
####
#### import modules.
####
import queryDevice
import operator
import yaml
import time
####
#### Load parameters.
####... |
458 | 51af54c55834c4bdb8e1cbe4ac55b86bdc61bf4d | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.utils.timezone import utc
import datetime
class Migration(migrations.Migration):
dependencies = [
('notesapp', '0008_auto_20150819_1222'),
]
operations = [
migrations.Ren... |
459 | a8b1b218e6649545000803c91c803580cfdbd4f1 | import random
# Imports MongoClient for base level access to the local MongoDB
from pymongo import MongoClient
# Imports datetime class to create timestamp for weather data storage
from datetime import datetime
# Importing DailyReportModel class to use the implemented method to insert data into daily_report_model ... |
460 | 8cd582915c5abd96a4ef8a3a5309311f2a73a156 |
with open("file.txt", 'r') as fh:
data = fh.readline()
lis= data.split(' ')
my_dict={}
for key in lis:
if key in my_dict.keys():
my_dict[key] += 1
else:
my_dict[key] = 1
print(my_dict)
|
461 | f55b286448f114f3823f099a576af7bec1780a8c | # -*- coding: utf-8 -*-
try:
from greenlet import getcurrent as get_current_greenlet
except ImportError:
get_current_greenlet = int
from thread import get_ident as get_current_thread
from threading import Lock
if get_current_greenlet is int: # Use thread
get_ident = get_current_thread
else: # Use gree... |
462 | e864dad3f46fc9c6c472823bd06ce74fb5cb3f41 | #!/usr/bin/env python
import rospy
import cv2
import numpy as np
from cv_bridge import CvBridge
from matplotlib import pyplot as plt
from sensor_msgs.msg import Image
from drone_app_msgs.msg import BBox, Drone, DroneArray
from rospy.numpy_msg import numpy_msg
# ---------------------------------------
# This is an impl... |
463 | f3a63a22f8746d4a1f127bfe9e8c9d822109ab3c | import logging
import os
import textwrap
from urllib.request import urlopen
from bs4 import BeautifulSoup
from tqdm import tqdm
from doc_curation import book_data
from doc_curation.md import get_md_with_pandoc
from doc_curation.md.file import MdFile
from doc_curation.scraping.misc_sites import iitk
from doc_curation.... |
464 | 90bb70b0a97c7872c8581a176ebacc50df8e1f72 | import datetime
def year_choices():
return [(r,r) for r in range(1984, datetime.date.today().year + 1)]
def current_year():
return datetime.date.today().year
|
465 | d1b2420778e788d78be2a12a27c80f5fa1b15a0f | import functools
import re
from pprint import pprint
def heading(*, marker=''):
'''
Add a new line with the same number of heading markers as the characters in the title
Need to specify marker to one of the valid rst line markups
'''
def wrapper_heading(func):
@functools.wraps(func)
... |
466 | 29bee4ef11281380aa05d22ef54cb76502ecd685 | from enum import Enum
class CellState(Enum):
EMPTY = 1
DEAD = 2
ALIVE = 3
WAS_ALIVE = 4
def __str__(self):
default_str = super(CellState, self).__str__()
if default_str == "CellState.EMPTY":
return "E"
elif default_str == "CellState.DEAD":
return "D"
elif default_str... |
467 | b453006b4d4c5f17bb58110fe8197d7796ca0c6c | # -*- coding: utf-8 -*-
__author__ = 'tqs'
from win32com.client import Dispatch
import win32com.client
import time
import os
import re
import win32api
'''
windowsๆไฝ้จๅ่ฏดๆ๏ผ
่่ฏๆณขๅ็ฅ่ฏ็น๏ผ
1.ๅ ้คๆไปถๅๆไปถๅคน
2.ๅคๅถๆไปถๅๆไปถๅคน
3.็งปๅจๆไปถๅๆไปถๅคน
4.ๆไปถๅๆไปถๅคนๆนๅ
5.ๆไปถๅฑๆง
่่ฏๆ ทไพ๏ผ
1ใๅจโ่จ็ฑปๆค็ฉโๆไปถๅคนไธญ๏ผๆฐๅปบไธไธชๅญๆไปถๅคนโ่ๅ่จ็ฑปโใ
2ใๅฐๆไปถโๆทกๆฐด่ป.dddโ็งปๅจๅฐโ่ป็ฑปๆค็ฉโๆไปถๅคนไธญใ
3ใ่ฎพ็ฝฎโ่บๆ่ป.aaaโๆไปถๅฑๆงไธบโๅช่ฏปโ... |
468 | 170d0560c40f3f642f319f6113b68ab8a6bea9ef | import csv
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
#funktion
def func(w,rc):
return 1/(np.sqrt(1+w**2*rc**2))
#daten einlesen
with open('data/phase.csv' ) as csvfile:
reader=csv.reader(csvfile, delimiter=',')
header_row=next(reader)
f, U, a,... |
469 | c9cf65eeec49eba004312491cdd2321200fa6a61 | import cv2
import pandas
from sklearn import tree
import pydotplus
from sklearn.tree import DecisionTreeClassifier
import matplotlib.pyplot as plt
import matplotlib.image as pltimg
df = pandas.read_csv("show.csv")
d = {'UK': 0, 'USA': 1, 'N': 2}
df['Nationality'] = df['Nationality'].map(d)
d = {'YES': 1, 'NO': 0}
df['... |
470 | c893095be88636e6cb06eb3b939d8106fbb7a8ca | #Arushi Patel (aruship)
from tkinter import *
import random
######################################
#images taken from wikipedia,pixabay,
#trans americas, clipartpanda,pngimg,
#findicons, microsoft word
######################################
####################################
# init
#####################... |
471 | d0448ca8e3fd2f3bb8a3a7ec052e29ab0be6351a | import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
import pandas as pd
import numpy as np
from sklearn import datasets
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
# a = pd.... |
472 | 6d7db5b9a64ec25763f5af6ceec1a46d629d549c | import re
import ngram
import smoothedNgram
def split_into_sentences(text):
text = text.lower()
sentences = re.split(r'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', text)
getSentences(sentences,text)
return sentences
def getTextWithoutSpaces(text):
withoutLineBreaks = text.replace("\n", "")
withoutS... |
473 | 654586443e96f84aae70b3ce3263b0458a27334b | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads_v1/proto/services/user_interest_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobu... |
474 | 7bd2a29bff1e435cf813dd54109d7f4e17612425 | #from tinyTensor.Node import Node
import tinyTensor
import plotly.plotly as py
from graphviz import render
#from tinyTensor.Operation import Operation
def init():
global _default_graph
_default_graph = None
def postOrder(node):
nodes_postorder = []
def recurse(node):
if isinstan... |
475 | 22da05d9bf6139a0306bfb2d1df96e9e2cf6a0c6 | # vim: tabstop=4 expandtab autoindent shiftwidth=4 fileencoding=utf-8
from django.contrib.auth.decorators import login_required
from django.contrib.auth import models as auth_models
from django.contrib.auth import forms as auth_forms
from django.contrib.auth import authenticate, login
from django.core.urlresolvers i... |
476 | 40158bbfd9c95a8344f34431d0b0e98c4a1bf6ed | '''
Code for mmDGM
Author: Chongxuan Li (chongxuanli1991@gmail.com)
Version = '1.0'
'''
import gpulearn_mm_z_x
import sys, os
import time
import color
n_hidden = (500,500)
if len(sys.argv) > 2:
n_hidden = tuple([int(x) for x in sys.argv[2:]])
nz=500
if os.environ.has_key('nz'):
nz = int(os.environ['nz'])
if os.en... |
477 | e543c7f7f1b249e53b8ebf82641ec398abf557af | button6 = Button(tk,text=" ",font=('Times 26 bold'), heigh = 4, width = 8, command=lambda:checker(button6))
button6.grid(row=2, column=2,sticky = S+N+E+W)
button7 = Button(tk,text=" ",font=('Times 26 bold'), heigh = 4, width = 8, command=lambda:checker(button7))
button7.grid(row=3, column=0,sticky = S+N+E+W)
button8 = ... |
478 | 647dde6e3288ded29336062b78baacc3a92908a7 | import re
import random
import requests
from bs4 import BeautifulSoup
import js2py
from fake_useragent import UserAgent
def _get_request_key(session):
res = session.post("https://spys.one/en/socks-proxy-list/")
soup = BeautifulSoup(res.text, 'html.parser')
return soup.find("input", {"name": "xx0"}).get("v... |
479 | aebc8665a97ab0a71b1d8a920b5cbf2643254883 | from base_page import Base_Page
import locators
class Product_Object:
"Page Object for the table"
#locators
def get_all_text(self):
"Get the text within the table"
table_text = []
row_doms = self.get_elements(self.rows_xpath)
for index,row_dom in enumerate(row_doms):
... |
480 | 24290f3a6cf9a0a272186a505d31c62a6f278c86 | #! /usr/bin/env python
#printing the sum of the even Fibonacci numbers
n= int(raw_input("enter your number"))
sumeven=0
# Defining the Fibonacci function
def fib(n):
a,b = 0,1 #first numbers of the sequence
while 1:
yield a
a,b = b,a+b #generator for the next number in the sequence
a = fib(n)
for i in range(n... |
481 | 1fbd4e45b061b4d6cefb46e3bc612533ec94250b | __author__ = 'sudab'
""" Generate a grid world """
import os, sys, getopt, pdb, string
import random
import numpy as np
import pygame
from skimage import io
import cv2
import pygame.locals as pgl
class Gridworld():
# a gridworld with uneven terrain
def __init__(self, filename=None, initial=0, nrows=8, ncols=8,... |
482 | 759ff4cc123e85bdc8c1457bb521cd35841956cd | import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
img = cv2.imread('modi.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
#Write the for loop code h... |
483 | 1d524312cbd3b735850046131f31c03fdfa90bbc | my_dict = {'one': '1', 'two': '2'}
for key in my_dict:
print('{} - {}'.format(key, my_dict[key])) |
484 | add56d52f3c88f814a166d12c3bc5a5906268864 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^class/([^/]+)/?$', views.puppet_class, name='puppet-class'),
url(r'^edit-host/(?P<fqdn>[^/]+)?/?$', views.edit_host, name='edit-host'),
url(r'^add-host/(?P<fqdn>[^/]+)?/?$', views.add_host, name='add-host'),
url(r'^delete/([^/... |
485 | 00e9872136e5753364117adbf60793e660c8bef0 | from __future__ import annotations
import pytest
from pytest import param
import ibis
import ibis.expr.datatypes as dt
from ibis.backends.base.sql.alchemy.geospatial import geospatial_supported
DB_TYPES = [
# Exact numbers
("BIGINT", dt.int64),
("BIT", dt.boolean),
("DECIMAL", dt.Decimal(precision=18... |
486 | 25aa0766505b22588107d44e15c3596e9383d4e9 | import datetime
from ..core.indicator import Indicator, IndicatorState
from ..core.toolwindow import ToolWindow
class HaakePhoenix(ToolWindow):
required_devices = ['haakephoenix']
def __init__(self, *args, **wargs):
self.indicators = {}
super().__init__(*args, **wargs)
def init_gui(self... |
487 | de6b9961e0572338c87802314e7ae3cded5168b4 | import matplotlib.pyplot as plt
import numpy as np
import scipy.io as scio
import estimateGaussian as eg
import multivariateGaussian as mvg
import visualizeFit as vf
import selectThreshold as st
plt.ion()
# np.set_printoptions(formatter={'float': '{: 0.6f}'.format})
'''็ฌฌ1้จๅ ๅ ่ฝฝ็คบไพๆฐๆฎ้'''
#ๅ
้่ฟไธไธชๅฐๆฐๆฎ้่ฟ่กๅผๅธธๆฃๆต ไพฟไบๅฏ่งๅ
# ๆฐๆฎ้... |
488 | e37e468d8a41b8711fb0eb4ddec7db67691f9156 | '''
Created on 3 Jul 2009
@author: charanpal
An abstract base class which represents a graph generator. The graph generator
takes an existing empty graph and produces edges over it.
'''
from apgl.util.Util import Util
class AbstractGraphGenerator(object):
def generate(self, graph):
Util.abst... |
489 | dc226a646af32d052c6d51832b95a340d6986e08 |
print('\n')
# ะะตัะฒัะน ะฒะฐัะธะฐะฝั
def fn1():
print("One")
def fn2():
print("Two")
def fn3():
print("Three")
fndict = {"A": fn1, "B": fn2, "C": fn3}
keynames = ["A", "B", "C"]
fndict[keynames[1]]()
fndict['C']()
# ะัะพัะพะน ะฒะฐัะธะฐะฝั
def add(one,two):
c = one+two
print(c)
print(type(c))
def sub(one,two... |
490 | a491772258a52bdfc93083343d2a2e48a240340d | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. 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... |
491 | 2b8ca0c8c7878536da4f31652976988cdba62d89 | from django.contrib import admin
from main_app.models import sites, statuses, redirects
# Register your models here.
admin.site.register(statuses)
admin.site.register(sites)
admin.site.register(redirects) |
492 | 19bb58ab440ca00bf6410a70a8b6bbc24eec96c1 | from django.apps import AppConfig
class MarketingemailsConfig(AppConfig):
name = 'marketingemails'
|
493 | 1614157c57b3d1b30087c42cb840d617dc91eecb | # Bengisu Ayan - 2236974
# Ceren Gรผrsoy - 2237485
import numpy as np
import cv2
B1 = "THE3-Images/B1.jpg"
B2 = "THE3-Images/B2.jpg"
B3 = "THE3-Images/B3.jpg"
B4 = "THE3-Images/B4.jpg"
B5 = "THE3-Images/B5.jpg"
def segmentation_function(image, name, blue_mask=False, white_mask=False, yellow_mask=False):
# Smo... |
494 | 065a566b3e520c14f20d0d7d668ec58404d6e11b | # coding=utf-8
# Copyright 2016 Mystopia.
from __future__ import (absolute_import, division, generators, nested_scopes,
print_function, unicode_literals, with_statement)
from django.db.models.signals import m2m_changed, post_save
from django.dispatch import receiver
from dicpick.models import... |
495 | dc88686d3cbb4223b4de6847bf4fc29b93054b00 | #! /usr/bin/env python3
import EchooFunctions, cgi, MySQLdb, hashlib, time, requests, os
print ('Content-type: text/html\n')
form = cgi.FieldStorage()
#database connection
user = "i494f18_team34"
db_pass = "my+sql=i494f18_team34"
db_con = MySQLdb.connect(host="db.soic.indiana.edu", port = 3306, user=user, passwd=db_... |
496 | 653e65281984ebb06467aeadb6f0e2b11f1bcb4d | #!/usr/bin/python3
def file_to_code(fname):
mem = []
for line in open(fname,"r"):
mem.extend([int(i) for i in line.split(",")])
return mem
class Opcode(object):
def __init__(self, mem, ptr, code, inc):
"""
>>> o = Opcode([1001, 2, 4, 1], 0, 1, 4)
>>> o._Opcode__par_modes
[0, 1]
"""
if mem[ptr]%100 !... |
497 | 8d5b75dc945844d48f52159be08fc1e6aa51fdf5 | # Takes in a word and makes a list containing individual characters
def split(word):
return [char for char in word]
# Removes empty strings from a list
def removeEmptyStrings(lst):
while "" in lst:
lst.remove("")
ints = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
tokenList = []
class Token:... |
498 | 20649decd3ff21b1aa814d0a04180195cac3629b | #loadconc.py - possibly these classes will be added to ajustador/loader.py when ready
# -*- coding:utf-8 -*-
from __future__ import print_function, division
import numpy as np
from ajustador import xml,nrd_fitness
import glob
import os
import operator
msec_per_sec=1000
nM_per_uM=1000
nM_per_mM=1e6
class trace(ob... |
499 | bb2c684fd5b962c97c033d4b4c2027d52b7371fd | import voldemort
import time
authorStore = voldemort.StoreClient('authorStore', [{'0', 6666}])
stack = []
components = []
index = 1
# Implementation of the Tarjan algorithm for the detection of strongly connected components.
# Function collects all authors in the database and outputs them as strongly connected compon... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.