text stringlengths 8 6.05M |
|---|
#!/usr/bin/env python3
#fonction Counter() pour compter les élements dans un tableau
from collections import Counter
def p_pair( b_array):
#b_array doit être un bytearray
bit = bytearray()
#boucle pour parcourir le tableau
for i in range(len(b_array)):
#convertion en binaire
octet = bin(b_array[i])[2:]
... |
import os
HOST = os.getenv('HOST')
PORT = os.getenv('PORT')
MONGODB = os.getenv('MONGODB')
PANINI_DB = 'panini'
SYNOPSIS_COLLECTION = 'synopsis'
REPOSITORY = 'https://github.com/jallysson/PaniniApi' |
#!/usr/bin/python3
import actuator
actuator.Actuator("COOL", 1.5)
|
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# Nombre: visorImagenes.py
# Autor: Miguel Andres Garcia Niño
# Creado: 15 de Noviembre 2018
# Modificado: 15 de Noviembre 2018
# Copyright: (c) 2018 by Miguel Andres Garcia Niño, 2018
# Licens... |
import os
import pandas as pd
import numpy as np
from pickle import loads
from src.trainModel import trainModel
from sklearn.impute import SimpleImputer
class evalModel:
def __init__(self):
self.path = "../data/input/"
self.root = "../data/predict/"
# for traits
self.name = list()
... |
#!/usr/bin/python
from cStringIO import StringIO
from boto.s3.connection import S3Connection
from boto.s3.connection import OrdinaryCallingFormat
from boto.s3.key import Key as S3Key
from utils.linda import *
import os
import zipfile
import sys
import json
import base64
import time
import threading
import random
de... |
'''
数据来源：东方财富网-行情中心
http://quote.eastmoney.com/center
'''
import requests
import re
import json
#用get方法访问服务器并提取页面数据
def get_stocks(page):
url = "http://42.push2.eastmoney.com/api/qt/clist/get?cb=jQuery11240574199433107409_1590886830210&pn={0}&pz=20&po=1&np=1&ut=bd1d9ddb04089700cf9c27f6f7426281&fltt=2&invt=2&fid... |
import MySQLdb
# Open database connection
db = MySQLdb.connect("localhost","root","toor","CARRENTALDB" )
# prepare a cursor object using cursor() method
cursor = db.cursor()
# Drop table if it already exist using execute() method.
#cursor.execute("DROP TABLE IF EXISTS CUSTOMER")
# Create table as per requirement
s... |
import time
import random
from MSExploit import MSExploit
class MSExploit_Buffer_Overflow(MSExploit):
def __init__(self, name):
MSExploit.__init__(self, name)
#Create
def Create(self):
print "Assessing overflow type...\n"
time.sleep(0.75)
print "Stack buffer overflow detected.\nApproach: NOP-Sled.\n"
tim... |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import statsmodels.api as am
#read the data set into a pandas DataFrame
wine = pd.read_csv('winequality-both.csv',sep=',',header=0)
wine.columns = wine.columns.str.replace(' ','_')
# display descriptive statistics for quality by wine type
prin... |
from ruamel.yaml import YAML
import os
import json
def load_yaml(yaml_in:str)->dict:
""" Read a YAML file and return the result as a
dictionary.
"""
yaml = YAML(typ='safe')
yaml.preserve_quotes = True
with open(yaml_in) as file:
return yaml.load(file)
def write_yaml(filename:str, d... |
#!/usr/bin/env python
# coding: utf-8
#
#******************************************************************************\
# *
# * Copyright (C) 2006 - 2014, Jérôme Kieffer <imagizer@terre-adelie.org>
# * Conception : Jérôme KIEFFER, Mickael Profeta & Isabelle Letard
# * Licence GPL v2
# *
# * This program is free softw... |
"""
Tests for the module firecrown.parameters.
"""
import pytest
import numpy as np
from firecrown.parameters import RequiredParameters, parameter_get_full_name, ParamsMap
from firecrown.parameters import (
DerivedParameterScalar,
DerivedParameterCollection,
create,
InternalParameter,
SamplerParamet... |
#-------------------------------------
# Project: Lightweight Industrial Image Classifier based on Federated Few-Shot Learning
# code is based on https://github.com/floodsung/LearningToCompare_FSL
#-------------------------------------
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autogr... |
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
t=int(input())
for i in range(t):
n=int(input())
print("YES" if (n//2020>=n%2020) else "NO")
|
import numpy as np
from sklearn.datasets import load_iris
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.model_selection import train_test_split, KFold, cross_val_score
from sklearn.metrics import accuracy_score
from sklearn.svm import LinearSVC, SVC
from sklearn.neighbors import KNeighbor... |
#!/usr/bin/env python3
from sensor_msgs.msg import Image
from nav_msgs.msg import Odometry
from rospy_wrapper import ros_wrapper
class SLAMWrapper():
RGB_RAW='rgb'
DEPTH_RAW='depth'
INFRA1_RAW='infra1'
INFRA2_RAW='infra2'
ODOMETRY='odom'
def __init__(self):
self.topics={self.RGB_RAW: ... |
class Persona():
def __init__(self,vCedula,vNombre,vEdad):
self.cedula=vCedula
self.nombre=vNombre
self.edad=vEdad
def __str__(self):
return ("El objeto es {0},{1},{2}".format(self.cedula,self.nombre,self.edad))
class IngSistemas(Persona):
def __init__(self,vCedula,vNombre,v... |
__author__ = 'pschiffmann'
import pandas as pd
import numpy as np
from random import randint
class smartkitdata(object):
def __init__(self):
self._data = self.gen_data()
def get_data(self, length=60):
return pd.DataFrame(self._data)[-length:]
def get_data_smooth(self, length=60, smooth=... |
# collecting relation surfaces from OpenIE
# http://openie.allenai.org/search?arg1=book&rel=&arg2=entertainment&corpora=
import requests
import re
from multiprocessing.dummy import Pool
import time
surface_dict = None
def get_relation(subj, obj):
global surface_dict
url = "http://openie.allenai.org/search?arg1... |
#!/usr/bin/python
import random, sys, string
import argparse
class shuf:
def __init__(self, filename):
if filename=="-" or filename=="":
self.lines = ""
else:
f = open(filename, 'r')
self.lines = f.readlines()
f.close()
def shuffling(self):
... |
'''Question 6
Level 2
Question:
Write a program that calculates and prints the value according to the given formula:
Q = Square root of [(2 * C * D)/H]
Following are the fixed values of C and H:
C is 50. H is 30.
D is the variable whose values should be input to your program in a comma-separated sequence.
Exa... |
from django.db import models
# Create your models here.
class User(models.Model):
name = models.CharField(max_length=128,unique=True)
password = models.CharField(max_length=258)
def __str__(self):
return self.name+','+self.password
class Score(models.Model):
name = models.CharField(max_length=... |
from networkx import write_gpickle, DiGraph
from pandas import read_csv
#logging
import logging
logging.basicConfig(filename='../log/graph_optimize_log.log', \
format='%(asctime)s\t%(levelname)s,\t%(funcName)s\t%(message)s', \
level=logging.DEBUG)
'''
class Graph:
de... |
def checkio(number):
result = ""
x = 0
while len(str(number)) > 1:
temp = x
for n in range(9,1,-1):
print("nnnn:",n)
if number % n == 0:
result += str(n)
number = int(number / n)
x += 1
break
prin... |
#!/usr/bin/env python
# coding: utf-8
# In[3]:
from PIL import Image
import numpy as np
import glob
import tensorflow as tf
from tensorflow import keras
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten
from keras.utils import to_categorical
import matplotlib.pyplot a... |
import os
import sys
import traceback
import math
import cProfile
import torch
import torch.nn as nn
from torch.utils.data.dataloader import DataLoader
import torch.nn.functional as F
from torch.autograd import Variable
import IPython
import numpy as np
from tensorboardX import SummaryWriter
import dat... |
import argparse
def start():
parser = argparse.ArgumentParser()
parser.add_argument("logfile", type=str)
args = parser.parse_args()
return Logger(args.logfile)
class Logger:
def __init__(self, logfile):
self.logfile = logfile
file_to_create = open(self.logfile, "a")
file_... |
from restaurant import Restaurant
restaurant_one = Restaurant("McDonalds", "Fast Food")
restaurant_two = Restaurant("Burger King", "Burgers")
restaurant_three = Restaurant("Healthy Cuisine Restaurant", "Salad")
restaurant_one.describe_restaurant()
restaurant_two.describe_restaurant()
restaurant_three.describe_restaur... |
from django.urls import path
from . import views
from django.views.decorators.csrf import csrf_exempt
urlpatterns= [
path('', views.index, name= 'expenses'),
path('add_expenses/', views.add_expense, name="add_expenses"),
path('update_expense/<int:id>', views.update_expense, name ='update_expense'),
pat... |
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
file = pd.read_csv("pima_indians_diabetes_original.csv")
#QUES1
print("\n******QUESTION-1*******")
file1 = pd.read_csv("pima_indians_diabetes_miss.csv")
Df = file1.isnull().sum()
y = Df.values[0:9]
x = ["pregs","plas","pres","skin","test","BMI",... |
import torch
w = torch.tensor(1.0, requires_grad=True) # requires_grad=True 하면 w.grad 에 gradient 가 자동저장된다.
# 단, 사용하려면 element 가 float 이어야 한다.
a = w*3
l = a**2
l.backward() # backward 하는 객체는 scalar 이어야 한다.
print(w.grad)
print('l을 w로 미분한 값은 {}... |
from cardmodel import Card
from solitairemodel import SolitaireModel
class SolitaireView:
def __init__(self, model):
self.model = model
def draw(self):
# get data from model
stock = self.model.getStock()
# limit waste to last 3 cards
waste = self.model.getWaste()
waste = waste[(-1*(min(3, ... |
import random
def hangman():
lists = [
" O ",
" | ",
" ======= ",
"/ | \ ",
" / \ ",
" | | "
]
print("========================")
print("Welcome to Hangman Game.")
print("========================")
#... |
# -*- coding: utf-8 -*-
"""evaluate.py
This is a simple ad-hoc bulk evaluator of the pre trained corpora matching the path:
pretrained/{language_code}/{1,..,4}-gram.pickle
Once ran, this file will start printing the Json-encoded resulting counters after concluded
experiments to the STDOUT. It will also notify reachin... |
#-*- coding:utf-8 -*-
# setup.py
from distutils.core import setup
import py2exe
setup(console=['hello.py']) |
# 通过 if 和 else 来完成不同分支流程执行不同的任务
people = 20
cars = 30
buses = 15
if cars > people:
print "We should take the cars."
elif cars < prople:
print "We should not take the cars."
else:
print "We can't decide."
if buses > cars:
print "That's too many buses."
elif buses < cars:
print "Maybe we could take... |
track = [
'#ToqueDeQueda',
'#RenunciaPiñeraCuliao',
'#ChileEnResistencia',
'#ToqueDeQuedaTotal',
'#EstadoEmergencia',
'#EstadoDeExcepcion',
'#ChileDesperto',
'#ChileResiste',
'#Valparaiso',
'#Coquimbo',
'#FuerzaChile',
'#ChileSeCanso',
'#ChileProtests',
'#ChileEnM... |
# This file is part of Buildbot. Buildbot is free software: you can
# redistribute it and/or modify it under the terms of the GNU General Public
# License as published by the Free Software Foundation, version 2.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without eve... |
import logging
import logging.handlers
import datetime
class cls_logger:
__inst = None
name = 'cls_logger'
handler=None
@staticmethod
def init_logger(log_level):
'''
:param log_level: CRITICAL = 50
FATAL = CRITICAL
... |
def solve():
s = input().lower()
count = [s.count(c) for c in "aeiou"]
print(sum(count))
if __name__ == "__main__":
solve()
|
from flask import Flask, render_template, send_file, send_from_directory, request
import json
from flask_tus import tus_manager
from flask_cors import CORS
import bcrypt
from flask_sqlalchemy import SQLAlchemy
import os
import redis
from file_storage import FileStorage
from s3_storage import S3Storage
from elasticsearc... |
import yaml
from utils.apiLib import *
from utils.utilGetJson import *
import json
global app_data
app_data = yaml.load(open("../settings/config.yml"))
app_data2 = yaml.load(open("../data/data.yml"))
def before_all (context):
print("************************ BEFORE ALL *********************************************... |
"""
WIP
"""
import sys
import os
import fbx
from brenpy.qt.bpQtImportUtils import QtWidgets
from brenpy.qt import bpCollapsibleWidgets
from brenfbx.core import bfCore
from brenpy.qt import bpQtWidgets
from brenfbx.qt.scene import bfQtSceneModels
from brenfbx.items import bfSceneItems
from brenfbx.qt.object import... |
# Generated by Django 3.2.3 on 2021-07-08 12:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('userapp', '0005_auto_20210708_1259'),
]
operations = [
migrations.CreateModel(
name='orders1',
fields=[
... |
for i in range(3):
num = input()
sum = 0
if(int(num)<0):
a1=int(num[0:2])
sum+=a1
for j in range(2,len(num)):
sum+=int(num[j])
else:
for j in range(len(num)):
sum+=int(num[j])
print(sum) |
from tkinter import *
from tkinter import ttk
import random
#メイン窓枠設定等
root = Tk()
root.title("0518.py GUI")
#文字書込み部
write_frame = ttk.Frame(root)
write_frame.grid()
write_label = ttk.Label(
write_frame,
text = "何かお話してください",
)
write_label.grid(row = 0, column = 0)
write = StringVar()
write_entry = ttk.Entry... |
from conversion.conversion_utils import fixed_attribute
from .base import BaseEnaConverter
PROJECT_SPEC = {
'@center_name': ['center_name'],
'NAME': ['study_name'],
'TITLE': ['short_description'],
'DESCRIPTION': ['abstract'],
'SUBMISSION_PROJECT': {
'SEQUENCING_PROJECT': ['', fixed_attribu... |
from turtle import Turtle
UP = 90
DOWN = 270
LEFT = 180
RIGHT = 0
MOVE_DISTANCE = 20
class Snake:
# initializes the snakes body with 3 squares
def __init__(self):
self.width = 0
self.snake_segment = []
self.create_snake()
self.head = self.snake_segment[0]
# The create fu... |
import cv2
from threading import Thread
import socket
import struct
import time
import sys
import argparse
import os
import zlib
import base64 as b64
from datetime import datetime, timedelta
try:
import cPickle as pickle
except ImportError:
import pickle
class VideoCamera(object):
def __init__(self, width... |
import configparser
def get_config(title: str, key: str):
"""
获取配置文件的值，title是[]里的内容，key是某一项的键
:param title: 配置文件中[]中的值
:param key: 配置文件的key
:return:
"""
config = configparser.ConfigParser()
config.read("static/config.ini")
print(config.sections())
return config.get(title, key)
... |
# Generated by Django 3.0.1 on 2019-12-24 00:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('FinaceNote', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='upload',
name='user_city',
... |
import time
import openpyxl
import os
from utilities import ExcelUtil
import datetime
from win32com import client
from utilities.readProperties import ReadConfig
excel = client.Dispatch(dispatch="Excel.Application")
wb = excel.Workbooks.Add()
today = datetime.date.today()
d1 = today.strftime("%d-%m-%Y")
t = time.lo... |
#--------------------------------------------------------------------------------
# G e n e r a l I n f o r m a t i o n
#--------------------------------------------------------------------------------
# Name: Exercise 5.1
#
# Usage: python "Exercise 5.1.py"
#
# Description: Calculate and plot distance traveled using g... |
class Vector:
def __init__(self,*coeffs):
self.coeffs=coeffs
def __repr__(self):
return 'Vector(*{!r})'.format(self.coeffs)
def __add__(self,other):
return Vector(*(x+y for x,y in zip(self.coeffs,other.coeffs))) #Vector object is returned
def __len__(self):
return len(s... |
from collections import OrderedDict
from all import setting
import requests
import simplejson as json
import xlrd
# region Data into db
def write_service_facility():
auth_data = {"code": "666666", "mobile": "09207869164"}
auth = requests.post(f"{setting.base_api_uri}/authenticates", json=auth_data)
get_i... |
# Generated by Django 2.2 on 2019-08-09 07:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('inventory', '0003_auto_20190809_0548'),
]
operations = [
migrations.AddField(
model_name='category',
name='category_co... |
'''Code to query, create and edit Entry data
'''
from logging import getLogger
from openspending.lib.aggregator import update_distincts
from openspending.ui.lib.browser import Browser
from openspending.model import Dataset, Entry, mongo
log = getLogger(__name__)
def facets_for_fields(facet_fields, dataset_name=None... |
import os
import wget
from workflow.task import Task
from workflow.utils.ansible import Ansible
from workflow.utils import env as ENV
'''
从制品库拉，然后push到部署服务的机器
'''
class Push(Task):
def __init__(self, *args, **kwargs):
self.src = kwargs.get('src')
self.dst = kwargs.get('dst')
self.servers = ... |
#!/usr/bin/env python
# this runs as separate ROS node and publishes messages from joystick - generally working fin
import rospy
from sensor_msgs.msg import Joy
joybuttons = []
joyaxes = []
def listen_joystick():
rospy.Subscriber('xwiimote_node/joy', Joy, callback)
def callback(data):
global joybuttons, jo... |
# ----------------------------------------------------------------------------
# Copyright 2014 Nervana Systems Inc.
# 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.o... |
import pandas as pd
from mvmm.multi_view.block_diag.graph.bipt_community import get_block_mat
from mvmm.clustering_measures import MEASURE_MIN_GOOD
from mvmm_sim.simulation.run_sim import get_n_blocks
def get_bd_mvmm_model_sel(mvmm_results, select_metric='bic',
user_best_idx=None):
"""... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.10 on 2016-11-10 22:03
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('reportng', '0021_auto_20161110_2159'),
]
operation... |
# Generated by Django 2.2 on 2019-06-12 07:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('django_nginx_access', '0004_auto_20190612_0733'),
]
operations = [
migrations.AddIndex(
model_name='urlsagg',
index=mo... |
import sys
from math import log10
def calculate_prob(string, gc):
''' Calculate the probability that a random string matches string exactly
:param string: string to compare
:param gc: GC content to construct random strings
:return: log(probability) that a random string constructed with the GC content m... |
# Definition for singly-linked list.
class ListNode:
def __init__(self, x,nextNode=None):
self.val = x
self.next = nextNode
class Solution:
def swapPairs(self, head):
last = pre = ListNode(0)
last.next = pre.next = head
while last.next!=None and last.next.next!=None:
... |
from django.urls import path
from authors.apps.reports.views import ReportArticleViewSet
urlpatterns = [
path(
"<str:slug>/report-article/",
ReportArticleViewSet.as_view({'post':'create'}), name="report"
),
path(
"report-article/<int:report_id>/",
ReportArticleViewSet.as_v... |
import errno
import io
import json
import logging
import os
import subprocess
from builtins import ValueError
from json import JSONDecodeError
from typing import List, Tuple, Callable
from definitions import CLI_SIMULATOR_FILE_PATH, CDE_API_USER_PASSWORD_ENV_VAR
logging.basicConfig(format="%(asctime)s %(levelname)s %... |
#!/usr/bin/env python
import os
import sys
import inspect
import re
import argparse
import random
parser = argparse.ArgumentParser(description="""
Description
-----------
This script merges close alignement generated by promer.
""",formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Authors
---... |
import numpy
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers.embeddings import Embedding
from keras.preprocessing import sequence
from keras.callbacks import ModelCheckpoint
import json
import word_table as w_t
from keras.utils import np_utils
from erro... |
import pandas as pd
import glob
def parse_path(p):
parsed = [pair.split('_') for pair in p.split('.csv')[0].split('__')]
return pd.Series({k:v for k,v in parsed})
def get_stage_results(stage):
stage_results = pd.concat([
pd.read_csv(f).assign(path=f.split(f'STAGE{stage}__')[1]) \
for f in ... |
import pytest
from ioweb.request import BaseRequest
def test_default_meta():
req = BaseRequest()
assert req.meta == {} # pylint: disable=use-implicit-booleaness-not-comparison
def test_custom_default_config():
class CustomRequest(BaseRequest):
def get_default_config(self):
return {... |
# -*- coding:utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import Lasso,Ridge
from sklearn.model_selection import GridSearchCV
if __name__ == "__main__":
data = pd.read_csv('... |
from django.contrib import admin
from django.urls import path, include
from drf_yasg import openapi
from drf_yasg.views import get_schema_view
"""JWT auth"""
schema_view = get_schema_view(
openapi.Info(
title="Booking API",
default_version="v1",
),
public=True,
)
urlpatterns = [
path("... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from lib.pointnet2 import pointnet2_utils as pointutils
class FlowEmbedding(nn.Module):
def __init__(self, radius, nsample, in_channel, mlp, pooling='max', corr_func='concat', knn=True, use_instance_norm=False):
super(FlowEmbedding, self).... |
import cStringIO
from Scapy_Control import *
from scapy.all import *
from SMB_COM import *
class ReadAndx():
def ReadAndxRequest(self,
Flow = 'SMB',
**kwargs):
raw = self.SMBHeader(command=SMB_COM_READ_ANDX,
flags=24,
... |
#!/usr/bin/env python
import sys
import rospy
import moveit_commander
import geometry_msgs.msg
import math
import tf.transformations
def main():
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('move_group_mover', anonymous=True)
group = moveit_commander.MoveGroupCommander("al5d_joints")
... |
import psycopg2
from openpyxl.workbook import Workbook
import pandas as pd
import logging
# importing packages
class Total_compensation:
# function to list total compensation given at Department level till date
def compensation(self):
try:
# trying to connect to postgresql database
... |
# -*- coding: UTF-8 -*-
import MySQLdb
from scipy import stats
__author__ = 'Eric huizh'
# ============================= rule 1 =================================
"""
function: 对销售记录表的数据单价跟销售数量进行乘积，求出最初数据表中的每个商家或者特定商家每条销售记录的销售额
@para： tag = 1：全部商家
tag = 1：特定商家
"""
def sql_fee(table, **kw):
... |
# Generated by Django 2.2.4 on 2020-05-13 17:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('property', '0013_auto_20200513_1958'),
]
operations = [
migrations.AlterField(
model_name='owner',
name='flats',
... |
#!/bin/python3
rcvd = input().strip()
orig = "SOS" * (len(rcvd) // 3)
count = 0
for i in range(len(rcvd)):
count += 1 if orig[i] != rcvd[i] else 0
print(count) |
"""
_WMWorkloadTools_
Define some generic tools used by the StdSpecs and WMWorkload
to validate arguments that modify a WMWorkload and/or WMTask.
Created on Jun 13, 2013
@author: dballest
"""
import json
import logging
from Utils.Utilities import makeList, strToBool
from WMCore.DataStructs.LumiList import LumiList
... |
def mentor_successful_interaction(soft_skills):
return soft_skills*2 + 10
def idea_generation_time(percent, team_soft_skills):
return (percent*10 + 300)*4*2/team_soft_skills
def final_score(soft_skills, idea, programming, design):
return (idea*1.5 + programming + design)*(soft_skills + 5) / 30
|
'''
Created on Apr 24, 2016
BST Sequences: A binary search tree was created by traversing through an array from left to right and inserting
each element. Given a binary search tree with distinct elements, print all possible arrays that could have led to
this tree.
@author: chunq
'''
def getBSTSequences(t... |
from django.conf import settings
if settings.DEBUG:
# Development environment
app_id = '88726'
app_key = '1751ee3d48c493fa8347'
app_secret = 'e332918120e6efe62095'
else:
# Production enviroment (Heroku app)
app_id = '88725'
app_key = '3dc3533a2828e91bd034'
app_secret = '4fd4201ee58cb... |
from pydantic import BaseModel
from datetime import datetime
from typing import List, Optional
# ===================================
# Organization Models start here
# ===================================
class OrganizationBase(BaseModel):
name: str
class OrganizationCreate(OrganizationBase):
pass
class O... |
from cleo import Application
from myapp.commands.hello_world_command import HelloWorldCommand
app = Application()
app.add(HelloWorldCommand())
if __name__ == '__main__':
app.run()
|
"""
Author: JiaHui (Jeffrey) Lu
ID: 25944800
"""
import numpy as np
import matplotlib.pyplot as plt
import time
def my_log1p(x):
"""
The function takes in x value then uses taylor expansion formula to generate the value for log1p
:param x: the input to the function log(1+x)
:return: ans: the result of... |
from copy import deepcopy
from readability import Document
from .abstract_extractor import AbstractExtractor
from ..article_candidate import ArticleCandidate
class ReadabilityExtractor(AbstractExtractor):
"""This class implements Readability as an article extractor. Readability is
a subclass of Extractors a... |
import sys
sys.path.append('../STANDAR_LIBRARIES')
from URL_Lib import descargarResultadoData, descargarResultado, descargarResultadoDataSinBeautiful
from File_Lib import saveFile, saveFileExc, loadFile
import re
import requests
from bs4 import BeautifulSoup # pip install beautifulsoup4
import http.client
http.clie... |
from tensorflow.keras.applications import InceptionV3
from tensorflow.keras import layers
from tensorflow import keras
def build_model_with_flatten(img_h, img_w):
"""
Build a model with a flatten layer
@type img_h: int
@param img_h: Height of the images (nb of pixels)
@type img_w: int
@param i... |
from django.db import models
# Create your models here.
class Customer(models.Model):
device = models.CharField(max_length=200, null=True, blank=True)
def __str__(self):
return f'name: {self.device}'
|
import game
import random
from node import Node
import time
import math
import util
class MCTS(object):
"""Base routine of MCTS method.
Attributes:
PLAYOUT_NUM: paremter to define maximum iteration times of MCTS
"""
# flg to specify computational budget of MCTS search
TIME = 0 ... |
def tr(srcstr, dststr, string, lowup=0):
if lowup == 1:
srcstr = srcstr.lower()
dststr = dststr.lower()
string = string.lower()
return string.replace(srcstr, dststr)
else:
return string.replace(srcstr, dststr)
print(tr('Abc', 'Mno', 'abcDef', lowup=1))
|
from datetime import timedelta, datetime
from email.mime.text import MIMEText
from smtplib import SMTP_SSL as SMTP
from sys import exc_info
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
from emailr.models import Event
from emailr.settings.config import DB_USERNAME, DB_PA... |
import torch.utils.data as data
from PIL import Image
import os
import os.path
import numpy as np
class CocoDetection(data.Dataset):
"""`MS Coco Detection <http://mscoco.org/dataset/#detections-challenge2016>`_ Dataset.
Args:
root (string): Root directory where images are downloaded to.
annFi... |
#TLE
from functools import reduce
class Solution:
def numSubarrayProductLessThanK(self, nums: List[int], k: int) -> int:
out = 0
for _ in range(1, len(nums)+1):
start = 0
end = _
while end <= len(nums):
if end == 1:
f... |
#!/usr/bin/env python
import os,sys,gzip,re,json,pickle
from datetime import datetime
"""Example of the log lines we are looking for:
3bfcc1ecaa7b79a1f8ab596ecb0b59b89d08560e 2012-11-18 00:00:56.578 21767 21767 I PhoneLabSystemAnalysis-Location: {"Action":"edu.buffalo.cse.phonelab.LOCATION_UPDATE","Location":"Lo... |
#!/usr/bin/env python3
import math
def solve_quadratic(a, b, c):
return (-b + math.sqrt(b*b - 4*a*c))/(2*a), (-b - math.sqrt(b*b - 4*a*c))/(2*a)
def main():
solve_quadratic(1,2,3)
if __name__ == "__main__":
main()
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dict Methods
==============================================================================
"""
import time
from pyclopedia.deco import run_if_is_main
keys = ["n%s" for i in range(1000000)]
@run_if_is_main(__name__)
def fromkeys():
"""dict.fromkeys is a very fa... |
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