content stringlengths 7 1.05M |
|---|
vowels = "aeiou"
#user input
word = input("Enter a word ('quit' to quit): ")
word = word.lower()
if word == 'quit':
quit()
#mainloop
while word != 'quit':
if word[0] in vowels:
word = word + "way"
#if word is one letter consonant
elif word[0] not in vowels and len(word) == 1:
word = word + 'ay'
else:
for i, ch in enumerate(word):
if ch in vowels:
word = word[i:] + word[:i] + "ay"
break
print(word)
#user input
word = input("Enter a word ('quit' to quit): ")
word = word.lower() |
class Event:
def __init__(self, event_date, event_type, machine_name, user):
self.date = event_date
self.type = event_type
self.machine = machine_name
self.user = user
|
pkgname = "python-urllib3"
pkgver = "1.26.9"
pkgrel = 0
build_style = "python_module"
hostmakedepends = ["python-setuptools"]
depends = ["python-six"]
pkgdesc = "HTTP library with thread-safe connection pooling"
maintainer = "q66 <q66@chimera-linux.org>"
license = "MIT"
url = "https://urllib3.readthedocs.io"
source = f"$(PYPI_SITE)/u/urllib3/urllib3-{pkgver}.tar.gz"
sha256 = "aabaf16477806a5e1dd19aa41f8c2b7950dd3c746362d7e3223dbe6de6ac448e"
# unpackaged dependency
options = ["!check", "brokenlinks"]
def post_install(self):
for f in (self.destdir / "usr/lib").glob(
"python*/site-packages/urllib3/packages/six.py"
):
f.unlink()
f.symlink_to("../../six.py")
self.install_license("LICENSE.txt")
|
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
"""
3
/ \
2 5
/ \ \
1 3 1
@问题： 在binary tree中，找到不相邻节点的最大和，比如上面的最大和是 (1+3 + 5 = 9)
@思路： 每一个节点需要记住两个值：不包含自己 和 包含自己 的最大值
- 包含自己的 res[1] = left[0] + right[0] + val
- 不包含自己 res[0] = max(left) + max(right)
"""
# 第一次尝试错了（没读懂题）：因为不是逐层比较，右边的5 可以 和 左边的 (1,3) 匹配
def rob(self, root: TreeNode) -> int:
# current level and last level
if not root: return 0
dp = [0, 0]
que = deque([root])
while que:
cursum = 0
for _ in range(len(que)):
cur = que.popleft()
cursum += cur.val
if cur.left: que.append(cur.left)
if cur.right: que.append(cur.right)
dp[0], dp[1] = dp[1], max(dp[0] + cursum, dp[1])
return dp[1]
# 好像自上而下做很难，自下而上很好理解
def rob(self, root: TreeNode) -> int:
def dfs(root):
# :ret max sum
if not root:
return (0, 0)
res = [0, 0]
left = dfs(root.left)
right= dfs(root.right)
# exclude cur node: so both left and right can be included
res[0] = max(left) + max(right)
# include cur node: so neither left nor right can be included
res[1] = left[0] + right[0] + root.val
return res
return max(dfs(root))
|
#!/usr/bin/env python
# Full license can be found in License.md
# Full author list can be found in .zenodo.json file
# DOI:10.5281/zenodo.3824979
# ----------------------------------------------------------------------------
# -*- coding: utf-8 -*-
"""Methods supporting the Global Navigation Satellite System platform
"""
def acknowledgements(name):
"""Provide the acknowledgements for different GNSS instruments
Parameters
----------
name : str
Instrument name
Returns
-------
ackn : str
Acknowledgement information to provide in studies using this data
"""
ackn = {'tec': ''.join(["GPS TEC data products and access through the ",
"Madrigal distributed data system are provided to ",
"the community by the Massachusetts Institute of ",
"Technology under support from U.S. National ",
"Science Foundation grant AGS-1242204. Data for ",
"the TEC processing is provided by the following ",
"organizations: UNAVCO, Scripps Orbit and ",
"Permanent Array Center, Institut Geographique ",
"National, France, International GNSS Service, The",
" Crustal Dynamics Data Information System ",
"(CDDIS), National Geodetic Survey, Instituto ",
"Brasileiro de Geografiae Estatística, RAMSAC ",
"CORS of Instituto Geográfico Nacional del la ",
"República Agentina, Arecibo Observatory, ",
"Low-Latitude Ionospheric Sensor Network (LISN), ",
"Topcon Positioning Systems, Inc., Canadian High ",
"Arctic Ionospheric Network, Institute of Geology",
" and Geophysics, Chinese Academy of Sciences, ",
"China Meterorology Administration, Centro di ",
"Niveau des Eaux Littorales Ricerche Sismogiche, ",
"Système d’Observation du (SONEL), RENAG : ",
"REseau NAtional GPS permanent, and GeoNet—the ",
"official source of geological hazard information ",
"for New Zealand."])}
return ackn[name]
def references(name, tag):
"""Provides suggested references for the specified data set
Parameters
----------
name : str
Instrument name
tag : str
Instrument tag
Returns
-------
refs : str
Suggested Instrument reference(s)
"""
refs = {'tec':
{'vtec': "Rideout and Coster (2006) doi:10.1007/s10291-006-0029-5"}}
return refs[name][tag]
|
# -*- coding:utf-8; -*-
class SolutionV1:
def permute(self, nums):
result = []
def helper(i, nums, r):
# 1. 终止条件
if i == len(nums):
result.append(r)
return
# 2. 处理当前逻辑
newR = []
for k in set(nums) - set(r):
newR.append(r + [k])
# 3. 下探递归
for r in newR:
helper(i + 1, nums, r)
# 4. 清理当前层:当前层没有要清理的
helper(0, nums, [])
return result
class Solution:
""" 从语言层面对代码进行优化
"""
def permute(self, nums):
result = []
numsLen = len(nums)
origNums = set(nums)
def helper(i, nums, r):
if i == numsLen:
result.append(r)
return
for k in origNums - set(r):
helper(i + 1, nums, r + [k])
helper(0, nums, [])
return result
|
# coding=utf-8
__author__ = 'menghui'
# =====================================================================================================================
# 配置文件
DEBUG = True # 是否开启调试模式
# =====================================================================================================================
# 日志处理占位
# 在httpclient中初始化
infoLogger = None
errorLogger = None
debugLogger = None
# =====================================================================================================================
# 配置数据库
SRVDATABASETYPE = "oracle" # 数据查询服务数据库类型
DEFAULTRESTCONN = "stu" # 数据查询服务数据库链接名称，为DATABASES中的KEY名称
# 数据库配置，key为数据库配置别名
DATABASES = {
'default': {
"TYPE":"oracle",
'NAME': 'orcl',
'USER': 'bjntu_er',
'PASSWORD': '123456',
'HOST': '127.0.0.1',
'PORT': '1521'
},
'mdu': {
"TYPE":"oracle",
'ENGINE': 'django.db.backends.oracle',
'NAME': 'orcl',
'USER': 'mdu',
'PASSWORD': 'mdu',
'HOST': '127.0.0.1',
'PORT': '1521'
},
'stu': {
"TYPE":"oracle",
'ENGINE': 'django.db.backends.oracle',
'NAME': 'orcl',
'USER': 'stu',
'PASSWORD': 'stu',
'HOST': '127.0.0.1',
'PORT': '1521'
}
}
# =====================================================================================================================
# 配置单点登录，以下配置没有使用
# 用户认证服务，当前没有使用
USERAUTHSERVICE = 'http://127.0.0.1:8090/wsGDPT/services/UserMgrService?wsdl'
# 单点登录地址，当前没有使用
CAS_SERVER_URL = 'http://127.0.0.1:8090/cas/login'
# 彻底登出，当前没有使用
CAS_LOGOUT_COMPLETELY = True
# 开启单点登出，当前没有使用
CAS_SINGLE_SIGN_OUT = True
# 自动创建新用户，当前没有使用
CAS_AUTO_CREATE_USERS = True
# =====================================================================================================================
# 关闭浏览器Session过期，未在IE中测试，以下配置没有使用
SESSION_EXPIRE_AT_BROWSER_CLOSE = True
# Session过期时间，单位秒
SESSION_COOKIE_AGE = 120
# =====================================================================================================================
# Redis服务器链接
# KEY规则：
# CACHE_ 缓存数据，由下面的CACHE_TABLES配置项定义
# APPKEY_ 应用系统注册信息，后跟应用系统ID，JSON格式
# {"privatekey": "3081c3020100300d06092a864886f70d01010105000481ae3081ab02010002210096f1842616ebce830
# f34fa4a51cb1e6daffc5a12e5629deed96609c9dbc6bc15020301000102203951b7a41b3a2aaedc3c7a
# fb73fa15306df6b150dc14884bd89d73ed2155cfb5021100d9fb8eaffa5e399f1ce82ad08619a13b0211
# 00b144ce4ff75b5eddb37ce8a5c65842ef021100a5f9ca0aaa9b864a65eb4d765b3536b30211008f2e9b
# 521de2b07a744a9503a9748b030210136419178fae85bcb0f54f93d5abb45c", "app_id": "ZNSHZH",
# "publickey": "303c300d06092a864886f70d0101010500032b00302802210096f1842616ebce830f34fa4a51cb1e6da
# ffc5a12e5629deed96609c9dbc6bc150203010001",
# "uname": "SYSUSER_ZNSHZH",
# "services": [8],
# "pwd": "UFdEX1pOU0haSA=="}
# SRV_URL_ 服务信息，后跟服务的URL，不同的服务类型保存的格式不同，JSON格式
# { "secret": "N",
# "serviceid": 6,
# "enabled": 1,
# "msglog": "N",
# "type": 7,
# "serviceName": "testservice_5",
# "tableName": "CACHE_Buffer_stbprp_b_",
# "cachetype": "N",
# "innerjoin": null,
# "fieldlist": null,
# "url": "test_5",
# "schemaName": "redis"}
# PC_ 平台信息，JSON格式:
# { "syspwd": "123456",
# "area": "重庆",
# "contacts": null,
# "platid": 5,
# "pluguel": null,
# "sysusername": "chongqing"}
REDISHOST = '127.0.0.1'
REDISPORT = "6379"
REDISDB = 0
RELOADREDISTIME = 10 # 重新加载redis中数据缓存的时间间隔，单位秒
# 缓存的数据库表
# [SQL,SCHEMA,[DBKEYS],PREKEY,[BUFFER DATA FIELD]]
CACHE_TABLES = [
['select STCD,STNM from su9921.st_stbprp_b', 'stu', ['STCD'], 'stu_st_stbprp_b', ['STNM']],
['select * from su9921.st_stbprp_b', 'stu', ['STCD'], 'Buffer_stbprp_b', []]
]
########################################################################################################################
MSGLOGPATH="/project/project/fangxunii/codes/clouds/restgang/cache/log" #消息日志记录的根目录
HUGESQLPATH="/project/project/fangxunii/codes/clouds/restgang/hugesqls"
DEFAULTCACHETIME=60 |
###tuplas são imutaveis
'''
lanche = ('Hanburguer', 'Suco', 'Batata', 'Pizza')
for c in lanche:
print (c)
print ('-'*30)
for c in range (0, len(lanche)):
print (lanche[c])
for p, c in enumerate(lanche):
print (c)
print (sorted(lanche))
'''
### del(lanche) apaga a variavel
'''
a = (5 ,8 ,4)
b = (4 ,3 ,2)
c = a + b
print (c)
print (c.index(8))
print (c.count(4))
'''
|
"""Kaprekar's Constant.
Have the function KaprekarsConstant(num) take the num parameter being passed which will be a
4-digit number with at least two distinct digits.
Your program should perform the following routine on the number:
Arrange the digits in descending order and in ascending order (adding leading zeroes if needed
to fit it to a 4-digit number), and subtract the smaller number from the bigger number.
Then repeat the previous step.
Performing this routine will always cause you to reach a fixed number: 6174.
Then performing the routine on 6174 will always give you 6174 (7641 - 1467 = 6174).
Your program should return the number of times this routine must be performed until 6174 is reached.
For example: if num is 3524 your program should return 3 because of the following steps:
(1) 5432 - 2345 = 3087,
(2) 8730 - 0378 = 8352,
(3) 8532 - 2358 = 6174.
"""
def kaprekars_constant(n):
"""Kaprekar's constant."""
if n == 6174:
return 1
n = str(n).zfill(4)
g = ''.join(sorted(n)[::-1])
l = ''.join(sorted(n))
n = int(g) - int(l)
return 1 + kaprekars_constant(n) if n != 6174 else 1
|
___assertEqual(0**17, 0)
___assertEqual(17**0, 1)
___assertEqual(0**0, 1)
___assertEqual(17**1, 17)
___assertEqual(2**10, 1024)
___assertEqual(2**-2, 0.25)
|
record4 = [[({'t4.103.114.0': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.103.114.0': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.103.114.0': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.103.114.0': [0.559, 10.0], 't3.103.114.0': [0.733, 5.0], 't5.103.114.0': [0.413, 5.0]}), 'newmec-3'], [({'t5.103.114.1': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.103.114.1': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.103.114.1': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.103.114.1': [0.438, 5.0], 't2.103.114.1': [0.452, 5.0], 't3.103.114.1': [0.698, 5.0]}), 'newmec-3'], [({'t5.103.114.2': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.103.114.2': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.103.114.2': [0.413, 5.0], 't2.103.114.2': [0.416, 5.0]}), 'newmec-3'], [({'t4.101.114.3': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.101.114.3': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.101.114.3': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.101.114.3': [0.446, 10.0], 't2.101.114.3': [0.628, 5.0], 't5.101.114.3': [0.564, 5.0]}), 'newmec-1'], [({'t2.102.114.4': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.102.114.4': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.102.114.4': [0.491, 5.0], 't5.102.114.4': [0.716, 5.0]}), 'newmec-2'], [({'t1.101.114.5': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.101.114.5': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.101.114.5': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t1.101.114.5': [0.72, 6.667], 't2.101.114.5': [0.648, 5.0], 't3.101.114.5': [0.591, 5.0]}), 'newmec-1'], [({'t3.102.114.6': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.102.114.6': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.102.114.6': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.102.114.6': [0.708, 5.0], 't5.102.114.6': [0.491, 5.0], 't2.102.114.6': [0.557, 5.0]}), 'newmec-2'], [({'t5.101.114.7': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.101.114.7': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t5.101.114.7': [0.799, 5.0], 't1.101.114.7': [0.621, 6.667]}), 'newmec-1'], [({'t3.101.114.8': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.101.114.8': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.101.114.8': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.101.114.8': [0.587, 5.0], 't2.101.114.8': [0.538, 5.0], 't4.101.114.8': [0.404, 10.0]}), 'newmec-1'], [({'t2.103.114.9': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.103.114.9': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.103.114.9': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.103.114.9': [0.413, 5.0], 't1.103.114.9': [0.585, 6.667], 't5.103.114.9': [0.797, 5.0]}), 'newmec-3'], [({'t1.102.114.10': {'wcet': 3, 'period': 20, 'deadline': 15}, 't3.102.114.10': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t1.102.114.10': [0.774, 6.667], 't3.102.114.10': [0.732, 5.0]}), 'newmec-2'], [({'t2.103.114.11': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.103.114.11': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.103.114.11': [0.644, 5.0], 't4.103.114.11': [0.742, 10.0]}), 'newmec-3'], [({'t2.101.114.12': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.101.114.12': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.101.114.12': [0.697, 5.0], 't5.101.114.12': [0.467, 5.0]}), 'newmec-1'], [({'t4.101.114.13': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.101.114.13': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.101.114.13': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.101.114.13': [0.743, 10.0], 't1.101.114.13': [0.471, 6.667], 't2.101.114.13': [0.609, 5.0]}), 'newmec-1'], [({'t5.101.114.14': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.101.114.14': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.101.114.14': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.101.114.14': [0.501, 5.0], 't4.101.114.14': [0.727, 10.0], 't2.101.114.14': [0.433, 5.0]}), 'newmec-1'], [({'t2.101.114.15': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.101.114.15': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.101.114.15': [0.665, 5.0], 't5.101.114.15': [0.552, 5.0]}), 'newmec-1'], [({'t2.101.114.16': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.101.114.16': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.101.114.16': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.101.114.16': [0.693, 5.0], 't3.101.114.16': [0.769, 5.0], 't5.101.114.16': [0.449, 5.0]}), 'newmec-1'], [({'t4.102.114.17': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.17': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.102.114.17': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.102.114.17': [0.741, 10.0], 't5.102.114.17': [0.701, 5.0], 't3.102.114.17': [0.662, 5.0]}), 'newmec-2'], [({'t2.103.114.18': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.103.114.18': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.103.114.18': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.103.114.18': [0.508, 5.0], 't5.103.114.18': [0.787, 5.0], 't3.103.114.18': [0.757, 5.0]}), 'newmec-3'], [({'t4.103.114.19': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.103.114.19': {'wcet': 3, 'period': 15, 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'newmec-1'], [({'t4.156.114.588': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.156.114.588': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.156.114.588': [0.6, 10.0], 't5.156.114.588': [0.444, 5.0]}), 'osboxes-0'], [({'t4.102.114.589': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.589': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.102.114.589': [0.733, 10.0], 't5.102.114.589': [0.597, 5.0]}), 'newmec-2'], [({'t4.101.114.590': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.101.114.590': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.101.114.590': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.101.114.590': [0.757, 10.0], 't3.101.114.590': [0.508, 5.0], 't5.101.114.590': [0.47, 5.0]}), 'newmec-1'], [({'t4.101.114.591': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.101.114.591': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.101.114.591': [0.717, 10.0], 't2.101.114.591': [0.446, 5.0]}), 'newmec-1'], [({'t5.101.114.592': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.101.114.592': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.101.114.592': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.101.114.592': [0.488, 5.0], 't2.101.114.592': [0.461, 5.0], 't3.101.114.592': [0.433, 5.0]}), 'newmec-1'], [({'t1.103.114.593': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.103.114.593': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.103.114.593': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t1.103.114.593': [0.742, 6.667], 't4.103.114.593': [0.681, 10.0], 't3.103.114.593': [0.499, 5.0]}), 'newmec-3'], [({'t3.101.114.594': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.101.114.594': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t3.101.114.594': [0.567, 5.0], 't5.101.114.594': [0.629, 5.0]}), 'newmec-1'], [({'t2.103.114.595': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.103.114.595': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.103.114.595': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.103.114.595': [0.594, 5.0], 't3.103.114.595': [0.748, 5.0], 't5.103.114.595': [0.452, 5.0]}), 'newmec-3'], [({'t2.103.114.596': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.103.114.596': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.103.114.596': [0.677, 5.0], 't5.103.114.596': [0.498, 5.0]}), 'newmec-3'], [({'t1.156.114.597': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.156.114.597': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.156.114.597': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t1.156.114.597': [0.765, 6.667], 't2.156.114.597': [0.604, 5.0], 't4.156.114.597': [0.618, 10.0]}), 'osboxes-0'], [({'t5.103.114.598': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.103.114.598': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.103.114.598': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t5.103.114.598': [0.683, 5.0], 't3.103.114.598': [0.74, 5.0], 't4.103.114.598': [0.578, 10.0]}), 'newmec-3'], [({'t1.102.114.599': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.102.114.599': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.102.114.599': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t1.102.114.599': [0.43, 6.667], 't5.102.114.599': [0.672, 5.0], 't3.102.114.599': [0.71, 5.0]}), 'newmec-2']]
host_names4 = {'192.168.122.102': 'newmec-2', '192.168.122.103': 'newmec-3', '192.168.122.156': 'osboxes-0', '192.168.122.101': 'newmec-1'}
record5 = [[({'t4.101.114.0': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.101.114.0': {'wcet': 2, 'period': 10, 'deadline': 8}, 't1.101.114.0': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.101.114.0': [0.784, 10.0], 't3.101.114.0': [0.666, 5.0], 't1.101.114.0': [0.754, 6.667]}), 'newmec-1'], [({'t1.101.114.1': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.101.114.1': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t1.101.114.1': [0.794, 6.667], 't5.101.114.1': [0.703, 5.0]}), 'newmec-1'], [({'t2.156.114.2': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.156.114.2': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.156.114.2': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t2.156.114.2': [0.612, 5.0], 't4.156.114.2': [0.676, 10.0], 't1.156.114.2': [0.773, 6.667]}), 'osboxes-0'], [({'t1.102.114.3': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.102.114.3': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.102.114.3': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t1.102.114.3': [0.76, 6.667], 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'deadline': 9}}, {'t2.156.114.24': [0.514, 5.0], 't4.156.114.24': [0.411, 10.0]}), 'osboxes-0'], [({'t1.103.114.25': {'wcet': 3, 'period': 20, 'deadline': 15}, 't3.103.114.25': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.103.114.25': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t1.103.114.25': [0.545, 6.667], 't3.103.114.25': [0.624, 5.0], 't4.103.114.25': [0.648, 10.0]}), 'newmec-3'], [({'t2.103.114.26': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.103.114.26': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.103.114.26': [0.667, 5.0], 't5.103.114.26': [0.74, 5.0]}), 'newmec-3'], [({'t3.156.114.27': {'wcet': 2, 'period': 10, 'deadline': 8}, 't1.156.114.27': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.156.114.27': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.156.114.27': [0.626, 5.0], 't1.156.114.27': [0.53, 6.667], 't4.156.114.27': [0.67, 10.0]}), 'osboxes-0'], [({'t4.104.114.28': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.104.114.28': {'wcet': 1, 'period': 5, 'deadline': 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[({'t5.103.114.598': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.103.114.598': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t5.103.114.598': [0.733, 5.0], 't4.103.114.598': [0.742, 10.0]}), 'newmec-3'], [({'t3.103.114.599': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.103.114.599': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.103.114.599': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t3.103.114.599': [0.636, 5.0], 't4.103.114.599': [0.532, 10.0], 't1.103.114.599': [0.513, 6.667]}), 'newmec-3']]
host_names5 = {'192.168.122.156': 'osboxes-0', '192.168.122.104': 'newmec-4', '192.168.122.103': 'newmec-3', '192.168.122.102': 'newmec-2', '192.168.122.101': 'newmec-1'}
record6 = [[({'t2.102.114.0': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.102.114.0': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.0': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.102.114.0': [0.489, 5.0], 't4.102.114.0': [0.537, 10.0], 't5.102.114.0': [0.567, 5.0]}), 'newmec-2'], [({'t1.102.114.1': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.102.114.1': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t1.102.114.1': [0.658, 6.667], 't2.102.114.1': [0.412, 5.0]}), 'newmec-2'], [({'t5.156.114.2': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.156.114.2': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.156.114.2': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.156.114.2': [0.624, 5.0], 't2.156.114.2': [0.408, 5.0], 't3.156.114.2': [0.571, 5.0]}), 'osboxes-0'], [({'t5.101.114.3': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.101.114.3': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.101.114.3': [0.448, 5.0], 't2.101.114.3': [0.574, 5.0]}), 'newmec-1'], [({'t2.156.114.4': 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{'wcet': 3, 'period': 15, 'deadline': 12}, 't1.103.114.549': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.103.114.549': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t5.103.114.549': [0.789, 5.0], 't1.103.114.549': [0.649, 6.667], 't4.103.114.549': [0.465, 10.0]}), 'newmec-3'], [({'t4.101.114.550': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.101.114.550': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.101.114.550': [0.444, 10.0], 't5.101.114.550': [0.439, 5.0]}), 'newmec-1'], [({'t3.104.114.551': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.104.114.551': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t3.104.114.551': [0.612, 5.0], 't5.104.114.551': [0.438, 5.0]}), 'newmec-4'], [({'t4.101.114.552': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.101.114.552': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.101.114.552': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.101.114.552': [0.76, 10.0], 't5.101.114.552': [0.432, 5.0], 't1.101.114.552': [0.401, 6.667]}), 'newmec-1'], [({'t2.101.114.553': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.101.114.553': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.101.114.553': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.101.114.553': [0.545, 5.0], 't1.101.114.553': [0.516, 6.667], 't4.101.114.553': [0.631, 10.0]}), 'newmec-1'], [({'t3.102.114.554': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.102.114.554': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.102.114.554': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.102.114.554': [0.528, 5.0], 't4.102.114.554': [0.756, 10.0], 't2.102.114.554': [0.477, 5.0]}), 'newmec-2'], [({'t5.101.114.555': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.101.114.555': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t5.101.114.555': [0.614, 5.0], 't4.101.114.555': [0.612, 10.0]}), 'newmec-1'], [({'t5.101.114.556': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.101.114.556': {'wcet': 2, 'period': 10, 'deadline': 8}, 't1.101.114.556': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t5.101.114.556': [0.69, 5.0], 't3.101.114.556': [0.617, 5.0], 't1.101.114.556': [0.547, 6.667]}), 'newmec-1'], [({'t5.103.114.557': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.103.114.557': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t5.103.114.557': [0.454, 5.0], 't4.103.114.557': [0.472, 10.0]}), 'newmec-3'], [({'t2.102.114.558': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.102.114.558': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.102.114.558': [0.563, 5.0], 't3.102.114.558': [0.623, 5.0]}), 'newmec-2'], [({'t3.101.114.559': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.101.114.559': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.101.114.559': [0.408, 5.0], 't4.101.114.559': [0.506, 10.0]}), 'newmec-1'], [({'t4.101.114.560': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.101.114.560': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.101.114.560': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.101.114.560': [0.664, 10.0], 't5.101.114.560': [0.539, 5.0], 't2.101.114.560': [0.455, 5.0]}), 'newmec-1'], [({'t2.101.114.561': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.101.114.561': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t2.101.114.561': [0.626, 5.0], 't1.101.114.561': [0.778, 6.667]}), 'newmec-1'], [({'t4.103.114.562': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.103.114.562': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.103.114.562': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.103.114.562': [0.577, 10.0], 't1.103.114.562': [0.612, 6.667], 't5.103.114.562': [0.419, 5.0]}), 'newmec-3'], [({'t5.103.114.563': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.103.114.563': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.103.114.563': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.103.114.563': [0.439, 5.0], 't4.103.114.563': [0.772, 10.0], 't3.103.114.563': [0.429, 5.0]}), 'newmec-3'], [({'t4.101.114.564': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.101.114.564': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.101.114.564': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.101.114.564': [0.523, 10.0], 't5.101.114.564': [0.57, 5.0], 't1.101.114.564': [0.669, 6.667]}), 'newmec-1'], [({'t2.102.114.565': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.102.114.565': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.565': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.102.114.565': [0.663, 5.0], 't4.102.114.565': [0.683, 10.0], 't5.102.114.565': [0.635, 5.0]}), 'newmec-2'], [({'t3.102.114.566': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.102.114.566': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.102.114.566': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.102.114.566': [0.641, 5.0], 't4.102.114.566': [0.51, 10.0], 't2.102.114.566': [0.607, 5.0]}), 'newmec-2'], [({'t3.102.114.567': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.102.114.567': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.102.114.567': [0.555, 5.0], 't2.102.114.567': [0.707, 5.0]}), 'newmec-2'], [({'t1.102.114.568': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.102.114.568': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.568': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t1.102.114.568': [0.645, 6.667], 't4.102.114.568': [0.538, 10.0], 't5.102.114.568': [0.407, 5.0]}), 'newmec-2'], [({'t4.156.114.569': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.156.114.569': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.156.114.569': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.156.114.569': [0.579, 10.0], 't2.156.114.569': [0.473, 5.0], 't1.156.114.569': [0.462, 6.667]}), 'osboxes-0'], [({'t2.102.114.570': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.102.114.570': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.102.114.570': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.102.114.570': [0.657, 5.0], 't4.102.114.570': [0.733, 10.0], 't3.102.114.570': [0.529, 5.0]}), 'newmec-2'], [({'t2.102.114.571': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.102.114.571': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.102.114.571': [0.494, 5.0], 't4.102.114.571': [0.612, 10.0]}), 'newmec-2'], [({'t4.102.114.572': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.102.114.572': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.102.114.572': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.102.114.572': [0.586, 10.0], 't3.102.114.572': [0.749, 5.0], 't2.102.114.572': [0.763, 5.0]}), 'newmec-2'], [({'t5.101.114.573': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.101.114.573': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.101.114.573': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.101.114.573': [0.647, 5.0], 't2.101.114.573': [0.446, 5.0], 't3.101.114.573': [0.79, 5.0]}), 'newmec-1'], [({'t3.101.114.574': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.101.114.574': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.101.114.574': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t3.101.114.574': [0.716, 5.0], 't5.101.114.574': [0.701, 5.0], 't1.101.114.574': [0.48, 6.667]}), 'newmec-1'], [({'t2.102.114.575': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.102.114.575': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.102.114.575': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t2.102.114.575': [0.442, 5.0], 't5.102.114.575': [0.515, 5.0], 't1.102.114.575': [0.563, 6.667]}), 'newmec-2'], [({'t3.101.114.576': {'wcet': 2, 'period': 10, 'deadline': 8}, 't1.101.114.576': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.101.114.576': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t3.101.114.576': [0.753, 5.0], 't1.101.114.576': [0.699, 6.667], 't5.101.114.576': [0.765, 5.0]}), 'newmec-1'], [({'t3.101.114.577': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.101.114.577': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.101.114.577': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t3.101.114.577': [0.667, 5.0], 't4.101.114.577': [0.483, 10.0], 't1.101.114.577': [0.404, 6.667]}), 'newmec-1'], [({'t4.156.114.578': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.156.114.578': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.156.114.578': [0.721, 10.0], 't2.156.114.578': [0.573, 5.0]}), 'osboxes-0'], [({'t3.102.114.579': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.102.114.579': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.102.114.579': [0.716, 5.0], 't2.102.114.579': [0.421, 5.0]}), 'newmec-2'], [({'t2.104.114.580': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.104.114.580': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.104.114.580': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.104.114.580': [0.707, 5.0], 't1.104.114.580': [0.596, 6.667], 't4.104.114.580': [0.513, 10.0]}), 'newmec-4'], [({'t4.101.114.581': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.101.114.581': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.101.114.581': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.101.114.581': [0.483, 10.0], 't1.101.114.581': [0.497, 6.667], 't2.101.114.581': [0.434, 5.0]}), 'newmec-1'], [({'t3.102.114.582': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.102.114.582': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.582': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t3.102.114.582': [0.799, 5.0], 't4.102.114.582': [0.643, 10.0], 't5.102.114.582': [0.514, 5.0]}), 'newmec-2'], [({'t2.102.114.583': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.102.114.583': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.102.114.583': [0.638, 5.0], 't3.102.114.583': [0.54, 5.0]}), 'newmec-2'], [({'t1.101.114.584': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.101.114.584': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.101.114.584': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t1.101.114.584': [0.526, 6.667], 't5.101.114.584': [0.699, 5.0], 't2.101.114.584': [0.63, 5.0]}), 'newmec-1'], [({'t5.103.114.585': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.103.114.585': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.103.114.585': [0.705, 5.0], 't3.103.114.585': [0.461, 5.0]}), 'newmec-3'], [({'t5.101.114.586': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.101.114.586': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.101.114.586': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.101.114.586': [0.576, 5.0], 't1.101.114.586': [0.444, 6.667], 't2.101.114.586': [0.755, 5.0]}), 'newmec-1'], [({'t4.101.114.587': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.101.114.587': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.101.114.587': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.101.114.587': [0.503, 10.0], 't2.101.114.587': [0.736, 5.0], 't1.101.114.587': [0.423, 6.667]}), 'newmec-1'], [({'t2.104.114.588': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.104.114.588': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.104.114.588': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t2.104.114.588': [0.738, 5.0], 't4.104.114.588': [0.666, 10.0], 't1.104.114.588': [0.655, 6.667]}), 'newmec-4'], [({'t2.103.114.589': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.103.114.589': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.103.114.589': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.103.114.589': [0.711, 5.0], 't5.103.114.589': [0.657, 5.0], 't3.103.114.589': [0.539, 5.0]}), 'newmec-3'], [({'t3.104.114.590': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.104.114.590': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t3.104.114.590': [0.427, 5.0], 't5.104.114.590': [0.462, 5.0]}), 'newmec-4'], [({'t3.101.114.591': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.101.114.591': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.101.114.591': [0.688, 5.0], 't4.101.114.591': [0.549, 10.0]}), 'newmec-1'], [({'t3.102.114.592': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.102.114.592': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.102.114.592': [0.571, 5.0], 't4.102.114.592': [0.705, 10.0]}), 'newmec-2'], [({'t5.101.114.593': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.101.114.593': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.101.114.593': [0.717, 5.0], 't2.101.114.593': [0.436, 5.0]}), 'newmec-1'], [({'t2.102.114.594': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.102.114.594': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.102.114.594': [0.49, 5.0], 't5.102.114.594': [0.602, 5.0]}), 'newmec-2'], [({'t5.102.114.595': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.102.114.595': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t5.102.114.595': [0.546, 5.0], 't1.102.114.595': [0.521, 6.667]}), 'newmec-2'], [({'t1.102.114.596': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.102.114.596': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t1.102.114.596': [0.754, 6.667], 't2.102.114.596': [0.535, 5.0]}), 'newmec-2'], [({'t5.102.114.597': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.102.114.597': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t5.102.114.597': [0.766, 5.0], 't4.102.114.597': [0.539, 10.0]}), 'newmec-2'], [({'t4.102.114.598': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.102.114.598': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.102.114.598': [0.434, 10.0], 't5.102.114.598': [0.432, 5.0]}), 'newmec-2'], [({'t3.101.114.599': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.101.114.599': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.101.114.599': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t3.101.114.599': [0.728, 5.0], 't2.101.114.599': [0.46, 5.0], 't1.101.114.599': [0.406, 6.667]}), 'newmec-1']]
host_names6 = {'192.168.122.156': 'osboxes-0', '192.168.122.102': 'newmec-2', '192.168.122.103': 'newmec-3', '192.168.122.104': 'newmec-4', '192.168.122.105': 'newmec-5', '192.168.122.101': 'newmec-1'}
record7 = [[({'t5.101.114.0': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.101.114.0': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.101.114.0': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.101.114.0': [0.714, 5.0], 't4.101.114.0': [0.592, 10.0], 't2.101.114.0': [0.492, 5.0]}), 'newmec-1'], [({'t4.103.114.1': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.103.114.1': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.103.114.1': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.103.114.1': [0.438, 10.0], 't2.103.114.1': [0.578, 5.0], 't3.103.114.1': [0.56, 5.0]}), 'newmec-3'], [({'t3.105.114.2': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.105.114.2': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.105.114.2': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t3.105.114.2': [0.659, 5.0], 't2.105.114.2': [0.583, 5.0], 't5.105.114.2': [0.559, 5.0]}), 'newmec-5'], [({'t3.102.114.3': {'wcet': 2, 'period': 10, 'deadline': 8}, 't1.102.114.3': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t3.102.114.3': 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[0.458, 6.667]}), 'newmec-5'], [({'t1.104.114.558': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.104.114.558': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.104.114.558': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t1.104.114.558': [0.768, 6.667], 't5.104.114.558': [0.57, 5.0], 't3.104.114.558': [0.69, 5.0]}), 'newmec-4'], [({'t3.106.114.559': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.106.114.559': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.106.114.559': [0.565, 5.0], 't4.106.114.559': [0.446, 10.0]}), 'newmec-6'], [({'t4.104.114.560': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.104.114.560': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.104.114.560': [0.52, 10.0], 't1.104.114.560': [0.566, 6.667]}), 'newmec-4'], [({'t5.103.114.561': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.103.114.561': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.103.114.561': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.103.114.561': [0.78, 5.0], 't2.103.114.561': [0.634, 5.0], 't3.103.114.561': [0.523, 5.0]}), 'newmec-3'], [({'t4.105.114.562': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.105.114.562': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.105.114.562': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.105.114.562': [0.427, 10.0], 't2.105.114.562': [0.433, 5.0], 't1.105.114.562': [0.534, 6.667]}), 'newmec-5'], [({'t4.156.114.563': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.156.114.563': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.156.114.563': [0.739, 10.0], 't3.156.114.563': [0.44, 5.0]}), 'osboxes-0'], [({'t2.156.114.564': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.156.114.564': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.156.114.564': [0.632, 5.0], 't4.156.114.564': [0.551, 10.0]}), 'osboxes-0'], [({'t3.104.114.565': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.104.114.565': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.104.114.565': [0.764, 5.0], 't4.104.114.565': [0.652, 10.0]}), 'newmec-4'], [({'t4.103.114.566': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.103.114.566': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.103.114.566': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.103.114.566': [0.711, 10.0], 't2.103.114.566': [0.415, 5.0], 't1.103.114.566': [0.7, 6.667]}), 'newmec-3'], [({'t2.101.114.567': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.101.114.567': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.101.114.567': [0.488, 5.0], 't4.101.114.567': [0.533, 10.0]}), 'newmec-1'], [({'t3.103.114.568': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.103.114.568': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.103.114.568': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.103.114.568': [0.482, 5.0], 't5.103.114.568': [0.427, 5.0], 't2.103.114.568': [0.519, 5.0]}), 'newmec-3'], [({'t3.104.114.569': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.104.114.569': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.104.114.569': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.104.114.569': [0.588, 5.0], 't2.104.114.569': [0.44, 5.0], 't4.104.114.569': [0.56, 10.0]}), 'newmec-4'], [({'t4.106.114.570': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.106.114.570': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.106.114.570': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.106.114.570': [0.643, 10.0], 't2.106.114.570': [0.695, 5.0], 't1.106.114.570': [0.76, 6.667]}), 'newmec-6'], [({'t3.101.114.571': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.101.114.571': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.101.114.571': [0.548, 5.0], 't2.101.114.571': [0.77, 5.0]}), 'newmec-1'], [({'t4.105.114.572': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.105.114.572': {'wcet': 3, 'period': 20, 'deadline': 15}, 't3.105.114.572': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.105.114.572': [0.678, 10.0], 't1.105.114.572': [0.641, 6.667], 't3.105.114.572': [0.453, 5.0]}), 'newmec-5'], [({'t2.106.114.573': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.106.114.573': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.106.114.573': [0.644, 5.0], 't5.106.114.573': [0.628, 5.0]}), 'newmec-6'], [({'t4.105.114.574': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.105.114.574': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.105.114.574': [0.438, 10.0], 't5.105.114.574': [0.554, 5.0]}), 'newmec-5'], [({'t2.106.114.575': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.106.114.575': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.106.114.575': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.106.114.575': [0.778, 5.0], 't3.106.114.575': [0.744, 5.0], 't4.106.114.575': [0.51, 10.0]}), 'newmec-6'], [({'t2.156.114.576': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.156.114.576': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.156.114.576': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t2.156.114.576': [0.669, 5.0], 't5.156.114.576': [0.442, 5.0], 't1.156.114.576': [0.55, 6.667]}), 'osboxes-0'], [({'t5.104.114.577': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.104.114.577': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.104.114.577': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.104.114.577': [0.793, 5.0], 't2.104.114.577': [0.428, 5.0], 't3.104.114.577': [0.712, 5.0]}), 'newmec-4'], [({'t2.103.114.578': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.103.114.578': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.103.114.578': [0.475, 5.0], 't4.103.114.578': [0.485, 10.0]}), 'newmec-3'], [({'t5.102.114.579': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.102.114.579': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.102.114.579': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.102.114.579': [0.488, 5.0], 't3.102.114.579': [0.628, 5.0], 't2.102.114.579': [0.751, 5.0]}), 'newmec-2'], [({'t5.103.114.580': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.103.114.580': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.103.114.580': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.103.114.580': [0.745, 5.0], 't4.103.114.580': [0.554, 10.0], 't2.103.114.580': [0.638, 5.0]}), 'newmec-3'], [({'t3.156.114.581': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.156.114.581': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.156.114.581': [0.573, 5.0], 't2.156.114.581': [0.783, 5.0]}), 'osboxes-0'], [({'t5.105.114.582': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.105.114.582': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.105.114.582': [0.491, 5.0], 't3.105.114.582': [0.777, 5.0]}), 'newmec-5'], [({'t5.104.114.583': {'wcet': 3, 'period': 15, 'deadline': 12}, 't4.104.114.583': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.104.114.583': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.104.114.583': [0.712, 5.0], 't4.104.114.583': [0.664, 10.0], 't2.104.114.583': [0.47, 5.0]}), 'newmec-4'], [({'t2.104.114.584': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.104.114.584': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.104.114.584': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.104.114.584': [0.754, 5.0], 't4.104.114.584': [0.414, 10.0], 't5.104.114.584': [0.442, 5.0]}), 'newmec-4'], [({'t3.106.114.585': {'wcet': 2, 'period': 10, 'deadline': 8}, 't5.106.114.585': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.106.114.585': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.106.114.585': [0.708, 5.0], 't5.106.114.585': [0.671, 5.0], 't2.106.114.585': [0.476, 5.0]}), 'newmec-6'], [({'t5.102.114.586': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.102.114.586': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.102.114.586': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t5.102.114.586': [0.768, 5.0], 't2.102.114.586': [0.582, 5.0], 't3.102.114.586': [0.496, 5.0]}), 'newmec-2'], [({'t2.103.114.587': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.103.114.587': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.103.114.587': [0.476, 5.0], 't4.103.114.587': [0.534, 10.0]}), 'newmec-3'], [({'t4.101.114.588': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.101.114.588': {'wcet': 3, 'period': 15, 'deadline': 12}, 't1.101.114.588': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t4.101.114.588': [0.575, 10.0], 't5.101.114.588': [0.687, 5.0], 't1.101.114.588': [0.437, 6.667]}), 'newmec-1'], [({'t2.106.114.589': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.106.114.589': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.106.114.589': [0.795, 5.0], 't3.106.114.589': [0.552, 5.0]}), 'newmec-6'], [({'t3.102.114.590': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.102.114.590': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.102.114.590': [0.466, 5.0], 't4.102.114.590': [0.794, 10.0]}), 'newmec-2'], [({'t4.105.114.591': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.105.114.591': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.105.114.591': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.105.114.591': [0.624, 10.0], 't5.105.114.591': [0.729, 5.0], 't2.105.114.591': [0.628, 5.0]}), 'newmec-5'], [({'t4.104.114.592': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.104.114.592': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.104.114.592': [0.78, 10.0], 't2.104.114.592': [0.778, 5.0]}), 'newmec-4'], [({'t2.106.114.593': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.106.114.593': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.106.114.593': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.106.114.593': [0.602, 5.0], 't5.106.114.593': [0.548, 5.0], 't3.106.114.593': [0.499, 5.0]}), 'newmec-6'], [({'t1.102.114.594': {'wcet': 3, 'period': 20, 'deadline': 15}, 't5.102.114.594': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.102.114.594': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t1.102.114.594': [0.617, 6.667], 't5.102.114.594': [0.742, 5.0], 't2.102.114.594': [0.717, 5.0]}), 'newmec-2'], [({'t2.104.114.595': {'wcet': 1, 'period': 5, 'deadline': 4}, 't1.104.114.595': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t2.104.114.595': [0.422, 5.0], 't1.104.114.595': [0.645, 6.667]}), 'newmec-4'], [({'t1.103.114.596': {'wcet': 3, 'period': 20, 'deadline': 15}, 't4.103.114.596': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t1.103.114.596': [0.577, 6.667], 't4.103.114.596': [0.401, 10.0]}), 'newmec-3'], [({'t2.103.114.597': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.103.114.597': {'wcet': 3, 'period': 15, 'deadline': 12}, 't3.103.114.597': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.103.114.597': [0.798, 5.0], 't5.103.114.597': [0.497, 5.0], 't3.103.114.597': [0.553, 5.0]}), 'newmec-3'], [({'t3.103.114.598': {'wcet': 2, 'period': 10, 'deadline': 8}, 't1.103.114.598': {'wcet': 3, 'period': 20, 'deadline': 15}, 't2.103.114.598': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.103.114.598': [0.496, 5.0], 't1.103.114.598': [0.483, 6.667], 't2.103.114.598': [0.766, 5.0]}), 'newmec-3'], [({'t3.106.114.599': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.106.114.599': {'wcet': 1, 'period': 10, 'deadline': 9}, 't1.106.114.599': {'wcet': 3, 'period': 20, 'deadline': 15}}, {'t3.106.114.599': [0.571, 5.0], 't4.106.114.599': [0.647, 10.0], 't1.106.114.599': [0.467, 6.667]}), 'newmec-6']]
host_names7 = {'192.168.122.102': 'newmec-2', '192.168.122.103': 'newmec-3', '192.168.122.104': 'newmec-4', '192.168.122.105': 'newmec-5', '192.168.122.106': 'newmec-6', '192.168.122.156': 'osboxes-0', '192.168.122.101': 'newmec-1'}
|
class MemberStore:
"""docstring for MemberStore"""
members = []
last_id = 1
def get_all(self):
return MemberStore.members
def add(self, member):
member.id = MemberStore.last_id
self.members.append(member)
MemberStore.last_id += 1
def get_by_id(self, id):
all_mem = self.get_all()
res = None
for member in all_mem :
if member.id == id:
res = member
break
return res
def entity_exists(self, member):
res = True
if self.get_by_id(member.id) is None:
res = False
return res
def delete(self, id):
member = self.get_by_id(id)
MemberStore.members.remove(member)
def update(self, member):
all_mem = self.get_all()
for i, me in enumerate(all_mem):
if member.id == me.id:
all_mem[i] = member
break
class PostStore:
"""docstring for PostStore"""
postsS = []
last_id = 1
def get_all(self):
return PostStore.postsS
def add(self, post):
post.id = PostStore.last_id
PostStore.postsS.append(post)
PostStore.last_id += 1
def get_by_id(self, id):
all_pos = self.get_all()
res = None
for post in all_pos:
if post.id == id :
res = post
break
return res
def entity_exists(self, post):
res = True
if self.get_by_id(post.id) is None :
res = False
return res
def delete(self, id):
post = self.get_by_id(id)
PostStore.postsS.remove(post)
|
# Initialize step_end
step_end = 10
# Loop for step_end steps
for step in range(step_end):
# Compute value of t
t = step * dt
# Compute value of i at this time step
i = i_mean * (1 + np.sin((t * 2 * np.pi) / 0.01))
# Print value of t and i
print(f'{t:.3f} {i:.4e}') |
"""
##########################################
## Developed By:Mustafa Raad Mutashar ##
## mustafa.raad.7@gmail.com 2020 ##
##########################################
"""
|
# OpenWeatherMap API Key
weather_api_key = "229c3f533e63b8b69792de2ba65d3645"
# Google API Key
g_key = "AIzaSyCv1BWR1Jm0cxoY8oqWxYHWU2g6Aq91SvE"
|
n1 = float(input('Primeira reta: '))
n2 = float(input('Segunda reta: '))
n3 = float(input('Terceira reta: '))
if n1 < n2 + n3 and n2 < n1 + n3 and n3 < n1 + n2:
print('Sim, é possivel fazer um triângulo com essas três retas!')
else:
print('Não é possivel fazer um triângulo com essas três retas: ')
|
# get stem leaf plot in dictionary
def stemleaf(data):
stem_leaf = {}
for x in data:
x_str = str(x)
if (len(x_str) == 1):
x_str = "0" + x_str
stem = int(x_str[:-1])
leaf = int(x_str[-1])
if (stem not in stem_leaf):
stem_leaf[stem] = [leaf]
else:
stem_leaf[stem] = stem_leaf[stem] + [leaf]
return stem_leaf
|
"""
A small set of functions for math operations
"""
# Write a function named add that adds two values
def add(A, B):
"""
Just writing this comment because it will pop up when asked for help
"""
C=A+B
return C
def mult(A,B):
"""
A*B
"""
return A*B
def div(A,B):
"""
A/B
"""
return A/B
def exp(A,B):
"""
A^B
"""
return A**B
|
f1 = 'bully_and_attack_mode'
f2 = 'happy_child_mode'
f3 = 'punishing_parent_mode'
f4 = 'vulnerable_child_mode'
f5 = 'demanding_parent_mode'
f6 = 'compliand_surrender_mode'
f7 = 'self_aggrandizer_mode'
f8 = 'impulsive_child_mode'
f9 = 'undiscilined_child_mode'
f10 = 'engraed_child_mode'
f11 = 'healthyy_adult_mode'
f12 = 'angry_child_mode'
f13 = 'detached_protoctor_mode'
f14 = 'detached_self_soother_mode'
factors_names = (f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13,f14)
factors = {
1 :(f1,)
, 2 :(f2,)
, 3 :(f3,)
, 4 :(f4,)
, 5 :(f3,)
, 6 :(f4,)
, 7:(f5,)
, 8 :(f6,)
, 9 :(f3,)
, 10 :(f7,)
, 11 :(f7,)
, 12 :(f8,)
, 13 :(f9,)
, 14 :(f10,)
, 15 :(f8,)
, 16 :(f2 , f3,)
#, 17 :('',)###
, 18 :(f6,)
, 19 :(f2,)
, 20 :(f11,)
, 21 :(f9,)
, 22 :(f12,)
, 23 :(f5,)
, 24 :(f1,)
, 25 :(f10 ,)
, 26 :(f10 ,)
, 27 :(f7 ,)
, 28:(f13,)
, 29 :(f11,)
, 30 :(f9,)
, 31 :(f7,)
, 32 :(f1,)
, 33 :(f13,)
, 34 :(f13,)
, 35 :(f8,)
, 36 :(f4,)
, 37 :(f6,)
, 38 :(f6,)
, 39 :(f13,)
, 40 :(f8,)
, 41 :(f14,)
, 42 :(f12,)
, 43 :(f13,)
, 44 :( f7,)
, 45 :(f5 ,)
, 46 :(f10,)
, 47:(f12,)
, 48 :(f2,)
, 49 :(f12,)
, 50 :(f4,)
, 51 :(f5,)
, 52 :(f14,)
, 53 :(f1,)
, 54 :(f10,)
, 55 :(f6,)
, 56 :(f12,)
, 57 :(f14,)
, 58 :(f3,)
, 59 :(f13,)
, 60 :(f10 ,)
, 61 :(f8 , f2 )#
, 62 :(f11 ,)
, 63 :(f12 ,)
, 64 :(f13 ,)
, 65 :(f9 ,)
#, 66 :('' ,)
, 67 :(f4 ,)
, 68:(f2 ,)
, 69 :(f8,)
, 70 :(f9,)
, 71 :(f4,)
, 72 :(f3,)
, 73 :(f11,)
, 74 :(f7,)
, 75 :(f13,)
, 76 :(f12,)
, 77 :(f1,)
, 78 :(f8,)
, 79 :(f12,)
, 80 :(f11,)
, 81 :(f7,)
, 82 :(f5,)
, 83 :(f5,)
, 84 :( f3,)
, 85 :(f11,)
, 86 :(f14,)
, 87:(f3,)
, 88 :(f13,)
, 89 :(f7,)
, 90 :(f5,)
, 91 :(f7,)
, 92 :(f10,)
, 93 :(f1,)
, 94 :(f3,)
, 95 :(f2,)
, 96 :(f2,)
, 97 :(f8,)
, 98 :(f10 ,)
, 99 :(f1,)
, 100 :(f6 ,)
, 101 :(f10,)
, 102 :(f1,)
, 103 :(f12,)
, 104 :(f5,)
, 105 :(f4,)
#, 106 :('',)
, 107 :(f9,)
, 108:(f6,)
, 109 :(f12,)
, 110 :(f8,)
, 111 :(f4,)
, 112 :(f1,)
, 113 :(f2,)
, 114 :(f7,)
, 115 :(f5,)
, 116 :(f5,)
, 117 :(f11,)
, 118 :(f3,)
, 119 :(f4,)
, 120 :(f11,)
, 121 :(f11,)
, 122 :(f2,)
, 123 :(f10,)
, 124 :(f11,)
} |
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'target_defaults': {
'variables': {
'chromium_code': 1,
'enable_wexit_time_destructors': 1,
},
'include_dirs': [
'<(DEPTH)',
# To allow including "version.h"
'<(SHARED_INTERMEDIATE_DIR)',
],
'defines' : [
'COMPILE_CONTENT_STATICALLY',
'SECURITY_WIN32',
'STRICT',
'_ATL_APARTMENT_THREADED',
'_ATL_CSTRING_EXPLICIT_CONSTRUCTORS',
'_ATL_NO_COM_SUPPORT',
'_ATL_NO_AUTOMATIC_NAMESPACE',
'_ATL_NO_EXCEPTIONS',
],
},
'targets': [
{
# GN version: //cloud_print/service/win:cloud_print_service
'target_name': 'cloud_print_service',
'type': 'executable',
'sources': [
'<(SHARED_INTERMEDIATE_DIR)/cloud_print/cloud_print_service_exe_version.rc',
'cloud_print_service.cc',
],
'includes': [
'service_resources.gypi'
],
'dependencies': [
'<(DEPTH)/cloud_print/cloud_print_resources.gyp:cloud_print_version_resources',
'<(DEPTH)/cloud_print/service/service.gyp:cloud_print_service_lib',
],
'msvs_settings': {
'VCLinkerTool': {
'SubSystem': '1', # Set /SUBSYSTEM:CONSOLE
'UACExecutionLevel': '2', # /level='requireAdministrator'
'AdditionalDependencies': [
'secur32.lib',
],
},
},
},
{
# GN version: //cloud_print/service/win:cloud_print_service_config
'target_name': 'cloud_print_service_config',
'type': 'executable',
'sources': [
'<(SHARED_INTERMEDIATE_DIR)/cloud_print/cloud_print_service_config_exe_version.rc',
'cloud_print_service_config.cc',
],
'includes': [
'service_resources.gypi'
],
'dependencies': [
'<(DEPTH)/cloud_print/cloud_print_resources.gyp:cloud_print_version_resources',
'<(DEPTH)/cloud_print/common/common.gyp:cloud_print_install_lib',
'<(DEPTH)/cloud_print/service/service.gyp:cloud_print_service_lib',
],
'msvs_settings': {
'VCManifestTool': {
'AdditionalManifestFiles': [
'common-controls.manifest',
],
},
'VCLinkerTool': {
'SubSystem': '2', # Set /SUBSYSTEM:WINDOWS
'UACExecutionLevel': '2', # /level='requireAdministrator'
'AdditionalDependencies': [
'secur32.lib',
],
},
'conditions': [
['clang==1', {
# TODO: Remove once cloud_print_service_config.cc no longer depends
# on atlapp.h, http://crbug.com/5027
'VCCLCompilerTool': {
'AdditionalOptions': [
# atlapp.h contains a global "using namespace WTL;".
'-Wno-header-hygiene',
# atlgdi.h does an intentional assignment in an if conditional.
'-Wno-parentheses',
# atlgdi.h fails with -Wreorder enabled.
'-Wno-reorder',
# atlgdi.h doesn't use braces around subobject initializers.
'-Wno-missing-braces',
],
},
}],
],
},
},
{
# GN version: //cloud_print/service/win:cloud_print_service_setup
'target_name': 'cloud_print_service_setup',
'type': 'executable',
'sources': [
'<(SHARED_INTERMEDIATE_DIR)/cloud_print/cloud_print_service_setup_exe_version.rc',
'installer.cc',
'installer.h',
],
'includes': [
'service_resources.gypi'
],
'dependencies': [
'<(DEPTH)/cloud_print/cloud_print_resources.gyp:cloud_print_version_resources',
'<(DEPTH)/cloud_print/common/common.gyp:cloud_print_install_lib',
'<(DEPTH)/cloud_print/service/service.gyp:cloud_print_service_lib',
],
'msvs_settings': {
'VCLinkerTool': {
'SubSystem': '2', # Set /SUBSYSTEM:WINDOWS
'UACExecutionLevel': '2', # /level='requireAdministrator'
'AdditionalDependencies': [
'secur32.lib',
],
},
},
},
],
}
|
'''all custom exceptions should go here'''
class EmptyP2THDirectory(Exception):
'''no transactions on this P2TH directory'''
class P2THImportFailed(Exception):
'''Importing of PeerAssets P2TH privkeys failed.'''
class InvalidDeckIssueModeCombo(Exception):
'''When verfiying deck issue_mode combinations.'''
class UnsupportedNetwork(Exception):
'''This network is not suppored by pypeerassets.'''
class InvalidDeckSpawn(Exception):
'''Invalid deck_spawn, deck is not properly tagged.'''
class InvalidDeckMetainfo(Exception):
'''Deck metainfo incomplete, deck must have a name.'''
class InvalidDeckVersion(Exception):
'''Deck version mistmatch.'''
class InvalidDeckIssueMode(Exception):
'''Deck Issue mode is wrong.'''
class DeckP2THImportError(Exception):
'''When Deck P2TH import goes wrong.'''
class InvalidCardTransferP2TH(Exception):
'''card_transfer does not pay to deck p2th in vout[0]'''
class CardVersionMismatch(Exception):
'''card_transfers version must match deck.version'''
class CardNumberOfDecimalsMismatch(Exception):
'''card_tranfer number of decimals does not match deck rules.'''
class RecieverAmountMismatch(Exception):
'''card_transfer list of recievers is not equal to list of amounts'''
class InsufficientFunds(Exception):
'''this address does not have enough assigned UTXOs'''
class InvalidNulldataOutput(Exception):
'''mallformed OP_RETURN transaction output.'''
class InvalidVoutOrder(Exception):
'''mallformed vout sequence'''
class OverSizeOPReturn(Exception):
'''op_return size is exceeding the maximum size allowed by this network.'''
|
class Templates:
@staticmethod
def simple_react_class_component(name):
return """import {{ Component }} from "react";
import React from "react";
export default class {0} extends Component {{
render() {{
return <div>{{this.props.children}}</div>;
}}
}}
""".format(name)
@staticmethod
def react_class_component_with_props_and_state(name):
return """import {{ Component, HTMLAttributes }} from "react";
import React from "react";
interface Props extends HTMLAttributes<HTMLElement> {{}}
interface State {{}}
export default class {0} extends Component<Props, State> {{
constructor(props: Props) {{
super(props);
this.state = {{}};
}}
render() {{
return <div>{{this.props.children}}</div>;
}}
}}
""".format(name)
|
"""
Configuration for docs
"""
# source_link = "https://github.com/[org_name]/wmo"
# docs_base_url = "https://[org_name].github.io/wmo"
# headline = "App that does everything"
# sub_heading = "Yes, you got that right the first time, everything"
def get_context(context):
context.brand_html = "World Memon Organization"
|
class Sack:
def __init__(self, wt, val):
self.wt = wt
self.val = val
self.cost = val // wt
def __lt__(self, other):
return self.cost < other.cost
def knapsack(wt, val, W):
item = []
for i in range(len(wt)):
item.append(Sack(wt[i], val[i]))
item.sort(reverse=True)
totalValue = 0
for i in range(len(item)):
curWt = item[i].wt
curVal = item[i].val
if W - curWt >= 0:
W -= curWt
totalValue += curVal
else:
fraction = W / curWt
totalValue += curVal * fraction
W = int(W - (curWt * fraction))
break
return totalValue
def main():
wt = [10, 40, 20, 30]
val = [60, 40, 100, 120]
W = 50
print(knapsack(wt, val, W))
if __name__ == "__main__":
main()
|
"""Constants for all the OCR post-correction experiments with the multisource model.
These can be modified for different languages/settings as needed.
Copyright (c) 2021, Shruti Rijhwani
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
"""
LSTM_NUM_OF_LAYERS = 1
EMBEDDING_DIM = 128
HIDDEN_DIM = 256
ATTENTION_SIZE = 256
UNK = "<unk>"
EOS = "<eos>"
COV_LOSS_WEIGHT = 1.0
DIAG_LOSS_WEIGHT = 1.0
EPOCHS = 150
PATIENCE = 10
|
"""
DESAFIO 060: Cálculo do Fatorial
Faça um programa que leia um número qualquer e mostre seu fatorial.
Ex: 5! = 5 x 4 x 3 x 2 x 1 = 120
"""
"""
# Feito com for
numero = int(input('Digite um número para descobrir seu fatorial: '))
copia = numero
resultado = numero
add = ''
for n in range(numero):
if copia != numero:
resultado *= copia
add += str(copia)
if copia != 1:
add += ' x '
copia -= 1
print('{}! = {} = {}'.format(numero, add, resultado))
"""
# Feito com while
numero = int(input('Digite um número para descobrir seu fatorial: '))
copia = numero
resultado = numero
add = ''
while copia > 0:
if copia != numero:
resultado *= copia
add += str(copia)
if copia != 1:
add += ' x '
copia -= 1
print('{}! = {} = {}'.format(numero, add, resultado))
|
'''
It is time now to piece together everything you have learned so far into a pipeline for classification! Your job in this exercise is to build a pipeline that includes scaling and hyperparameter tuning to classify wine quality.
You'll return to using the SVM classifier you were briefly introduced to earlier in this chapter. The hyperparameters you will tune are C
and gamma. C controls the regularization strength. It is analogous to the C you tuned for logistic regression in Chapter 3, while gamma
controls the kernel coefficient: Do not worry about this now as it is beyond the scope of this course.
The following modules and functions have been pre-loaded: Pipeline, SVC, train_test_split, GridSearchCV, classification_report, accuracy_score. The feature and target variable arrays X and y have also been pre-loaded.
'''
# Setup the pipeline
steps = [('scaler', StandardScaler()),
('SVM', SVC())]
pipeline = Pipeline(steps)
# Specify the hyperparameter space
parameters = {'SVM__C':[1, 10, 100],
'SVM__gamma':[0.1, 0.01]}
# Create train and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=21)
# Instantiate the GridSearchCV object: cv
cv = GridSearchCV(pipeline, parameters, cv=3)
# Fit to the training set
cv.fit(X_train, y_train)
# Predict the labels of the test set: y_pred
y_pred = cv.predict(X_test)
# Compute and print metrics
print("Accuracy: {}".format(cv.score(X_test, y_test)))
print(classification_report(y_test, y_pred))
print("Tuned Model Parameters: {}".format(cv.best_params_))
|
# -*- coding: utf-8 -*-
"""
Copyright Enrique Martín <emartinm@ucm.es> 2020
Custom exceptions when running LearnSQL
"""
class IncorrectNumberOfSentencesException(Exception):
"""Problem solution with an incorrect number of sentences"""
class ZipFileParsingException(Exception):
"""Error while parsing a ZIP file containing a problem (or a set of problems)"""
class ExecutorException(Exception):
"""Exception when calling the DB executor"""
def __init__(self, error_code, message='', statement='', position=(0, 0)):
super().__init__(message)
self.message = message
# value from types.SelectStatusCode
self.error_code = error_code
self.statement = statement
self.position = position
class DESException(Exception):
""" Error while invoking or parsing DES output """
|
m: int; n: int
m = int(input("Quantas linhas vai ter cada matriz? "))
n = int(input("Quantas colunas vai ter cada matriz? "))
a: [[int]] = [[0 for x in range(n)] for x in range(m)]
b: [[int]] = [[0 for x in range(n)] for x in range(m)]
c: [[int]] = [[0 for x in range(n)] for x in range(m)]
print("Digite os valores da matriz A:")
for i in range(m):
for j in range(n):
a[i][j] = int(input(f"Elemento [{i},{j}]: "))
print("Digite os valores da matriz B:")
for i in range(m):
for j in range(n):
b[i][j] = int(input(f"Elemento [{i},{j}]: "))
for i in range(m):
for j in range(n):
c[i][j] = a[i][j] + b[i][j]
print("MATRIZ SOMA:")
for i in range(m):
for j in range(n):
print(f"{c[i][j]} ", end="")
print()
|
#R바위 P보 S가위
for _ in range(int(input())):
Ascore = 0
Bscore = 0
for i in range(int(input())):
a,b = map(str,input().split())
if a == "R":
if b == "R":
Ascore+=1
Bscore+=1
elif b == "P":
Bscore+=1
elif b =="S":
Ascore+=1
elif a == "P":
if b == "P":
Ascore+=1
Bscore+=1
elif b == "S":
Bscore+=1
elif b =="R":
Ascore+=1
elif a == "S":
if b == "S":
Ascore+=1
Bscore+=1
elif b == "R":
Bscore+=1
elif b =="P":
Ascore+=1
if Ascore > Bscore:
print("Player 1")
elif Ascore == Bscore:
print("TIE")
elif Ascore < Bscore:
print("Player 2") |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: ying jun
@email: wandy1208@live.com
@time: 2021/12/12 22:55
"""
|
"""
Application constants
"""
REQUEST_TIMEOUT = 100
CONNECTION_TIMEOUT = 30
BASE_URL = 'https://graph.microsoft.com/v1.0'
SDK_VERSION = '0.0.3'
# Used as the key for AuthMiddlewareOption in MiddlewareControl
AUTH_MIDDLEWARE_OPTIONS = 'AUTH_MIDDLEWARE_OPTIONS'
|
##############################################################################
# Parte do livro Introdução à Programação com Python
# Autor: Nilo Ney Coutinho Menezes
# Editora Novatec (c) 2010-2020
# Primeira edição - Novembro/2010 - ISBN 978-85-7522-250-8
# Segunda edição - Junho/2014 - ISBN 978-85-7522-408-3
# Terceira Edição - Janeiro/2019 - ISBN 978-85-7522-718-3
#
# Site: https://python.nilo.pro.br/
#
# Arquivo: exercicios3\capitulo 06\exercicio-06-06.py
##############################################################################
último = 0
fila1 = []
fila2 = []
while True:
print(f"\nExistem {len(fila1)} clientes na fila 1 e {len(fila2)} na fila 2.")
print("Fila 1 atual:", fila1)
print("Fila 2 autal:", fila2)
print("Digite F para adicionar um cliente ao fim da fila 1 (ou G para fila 2),")
print("ou A para realizar o atendimento a fila 1 (ou B para fila 2")
print("S para sair.")
operação = input("Operação (F, G, A, B ou S):")
x = 0
sair = False
while x < len(operação):
# Aqui vamos usar fila como referência a fila 1
# ou a fila 2, dependendo da operação.
if operação[x] == "A" or operação[x] == "F":
fila = fila1
else:
fila = fila2
if operação[x] == "A" or operação[x] == "B":
if len(fila) > 0:
atendido = fila.pop(0)
print(f"Cliente {atendido} atendido")
else:
print("Fila vazia! Ninguém para atender.")
elif operação[x] == "F" or operação[x] == "G":
último += 1 # Incrementa o ticket do novo cliente
fila.append(último)
elif operação[x] == "S":
sair = True
break
else:
print(f"Operação inválida: {operação[x]} na posição {x}! Digite apenas F, A ou S!")
x = x + 1
if sair:
break
|
# -*- coding: iso-8859-1 -*-
"""
MoinMoin - <short description>
<what this stuff does ... - verbose enough>
@copyright: 2007 MoinMoin:YourNameHere
@license: GNU GPL, see COPYING for details.
"""
|
# © 2019 KidsCanCode LLC / All rights reserved.
# game options/settings
TITLE = "Leapin' Wizards!"
WIDTH = 480
HEIGHT = 600
FPS = 60
FONT_NAME = 'arial'
SPRITESHEET = 'GameSprites2.png'
# Environment options
GRAVITY = 9.8
# Player properties
PLAYER_ACC = 0.5
PLAYER_FRICTION = -0.1
PLAYER_JUMPPOWER = 15
# Monster properties
MONSTER_ACC = 0.5
MONSTER_FRICTION = -0.1
MONSTER_JUMPPOWER = 10
# define colors
BGCOLOR = (100, 100, 100)
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
LIGHTGREEN = (150, 255, 150)
LIGHTBLUE = (150, 150, 255)
BLUE = (0, 0, 255)
LIGHTBLUE = (200, 220, 255)
YELLOW = (255, 255, 0) |
objetivo = int(input('Escoge un numero: '))
epsilon = 0.0001
paso = epsilon**2
respuesta = 0.0
while abs(respuesta**2 - objetivo) >= epsilon and respuesta <= objetivo:
print(abs(respuesta**2 - objetivo), respuesta)
respuesta += paso
if abs(respuesta**2 - objetivo) >= epsilon:
print(f'No se encontro la raiz cuadrada {objetivo}')
else:
print(f'La raiz cudrada de {objetivo} es {respuesta}')
|
# You can copy consecutive elements of a list to build another list.
# For example, if you have this list…
print("p01")
cities = ["Atlanta", "Baltimore", "Chicago", "Denver", "Los Angeles", "Seattle"]
print(cities)
# …you can copy elements 2 through 4 to create another list…
print("p02")
smaller_list_of_cities = cities[2:5]
print(cities)
print(smaller_list_of_cities)
# When the first element of the slice is the first element of the original list the element with
# an index of 0—you can omit the first number altogether:
# smaller_list_of_cities = cities[:5]
print("p03")
print(smaller_list_of_cities)
print(smaller_list_of_cities[:2])
# When the last element of the slice is the last element of the original list, you
# can omit the second number:
# smaller_list_of_cities = cities[2:]
print("p04")
smaller_list_of_cities = smaller_list_of_cities + ["Atlanta", "Dallas"]
print(smaller_list_of_cities)
print(smaller_list_of_cities[3:])
# пока не вижу, как вывести индекс
# Exercise 1
# In the following code, smaller_list_of_cities is assigned __ elements of the cities list. (Enter a numeral.)
# smaller_list_of_cities = cities[2:5]
print("ex01")
print(cities)
print("list legth %s" %len(cities))
smaller_list_of_cities = cities[2:5]
print("smaller_list_of_cities = cities[2:5]")
print(smaller_list_of_cities)
print("index of 'LA': %s" %cities.index("Los Angeles"))
# Exercise 2
# Fill in the blank. The first element in the slice is the second element in the list.
# The last element in the slice is the third element in the list.
# smaller_list_of_cities = cities[____]
print("ex02")
smaller_list_of_cities = cities[1:3]
print(cities)
print("smaller_list_of_cities = cities[1:3]")
print(smaller_list_of_cities)
# Exercise 3
# In the orange box type the next character. I'll autocomplete. Don't type spaces or carriage returns.
# Copy the second through eighth elements from the list y and assign the slice to the list x.
print("ex03")
y = [1,2,3,4,5,6,7,8,9,10]
x = y[1:8]
print(y)
print(x)
# Exercise 4
# Fail-safe coding. If you type the wrong character, I'll cancel the keystroke.
# Type spaces. When the exercise is complete, I'll turn the exercise number green.
# Reduce the list x to a slice of itself—the sixth through 8th elements.
print("ex04")
x = y
print(x)
x = x[5:8]
print(x)
# Exercise 5
# Copy some elements from a list and assign the slice to another list. Make up the list names and the index numbers.
print("ex05")
print(y)
x = y[1:5] # это индексы. Первый входит, последний не входит
print(x)
# Exercise 6
# What is the index number of the last element in the slice?
# x = y[7:9]
print("ex06")
print(y) # 10 элементов
print("длинна массива %s" %len(y))
x = y[7:9] # из 10 элементов (индексы 0-9), выбирается с элемента с индексом 7 [8] по элемент с индексом 9 [10]
print("x = y[7:9]")
print(x)
# Exercise 7
# Fill in the blank to slice the first through ninth element with minimal coding.
# x = y[____]
print("ex07")
y2 = y + [11,12,13,14,15]
y2.reverse() # просто разворачивает массив без присвоения его новому.
print("длинна массива %s" %len(y2))
print(y2)
print("x = y3[:9]")
print(("элемент %s" %y2[9])+("(индекс %s - десятый элемент списка!)")%y2.index(6) + ", в промежуток не входит")
x = y2[:9] #(выводит элемент с индексом 8, значит, 9 - граничное значение, не включено)
print(x)
print("длинна списка %s" %len(x))
print("индекс элемента 7: %s" %y2.index(7))
print("десятый элемент %s" %y2[9])
|
# -*- coding: utf-8 -*-
class ImdbScraperPipeline(object):
def process_item(self, item, spider):
return item
|
high_income = True
low_income = False
if high_income == True and low_income == False:
print("u little bitch ")
#above code is noob kind of code
#bettter way
if high_income and low_income:
print("u little bitch")
#high_income and low_income are already boolean so we don't need to compare it with == True and == False
# age between 18 and 65
age = 45
if age > 10 and age <65:
print("Eligible")
#another way of same thing
message = "Eligible" if age > 18 and age < 65 else "Not Eligible"
print(message)
if 18 <= age < 65 :
print("Eligible")
else :
print("Not Eligible")
|
def print_artist(album):
print(album['Artist_Name'])
def change_list(list_from_user):
list_from_user[2] = 5
def print_name(album):
print(album["Album_Title"])
def make_album(name, title, numSongs=10):
album = {'Artist_Name': name, 'Album_Title': title}
if numSongs:
album["Song_Count"] = numSongs
return album
def main():
albums = []
bsb = make_album("Back Street Boys","I want it that way")
print_artist(bsb)
print_name(bsb)
num_track = [1,3,6,7]
print(num_track)
change_list(num_track)
print(num_track)
# bsb = {
# Artist_Name: "Back Street Boys"
# Album_Title: "I want it that way"
# Song_count: 10
# }
artist1 = "Joe"
title1 = "Buck"
albums.append(make_album(artist1,title1))
albums.append(make_album('Marylin Manson', 'Mechanical Animals'))
albums.append(make_album('Less Than Jake', 'Borders and Boundaries', 12))
albums.append(make_album("N'Sync", 'No Strings Attached'))
print(albums)
main() |
class Vector:
"""
Constructor
self: a reference to the object we are creating
vals: a list of integers which are the contents of our vector
"""
def __init__(self, vals):
self.vals = vals
# print("Assigned values ", vals, " to vector.")
"""
String Function
Converts the object to a string in readable format for programmers
"""
def __str__(self):
return str(self.vals)
"""
Elementwise power: raises each element in our vector to the given power
"""
def __pow__(self, power):
return Vector([i ** power for i in self.vals])
"""
Addition: adds each element to corresponding element in other vector
"""
def __add__(self, vec):
return Vector(
[self.vals[i] + vec.vals[i] for i in range(len(self.vals))]
)
"""
Multiplies each element in the vector by a specified constant
"""
def __mul__(self, constant):
return Vector([self.vals[i] * constant for i in range(len(self.vals))])
"""
Elementwise subtraction: does same as addition, just subtraction instead
"""
def __sub__(self, vec):
return self + (vec * (-1))
vec = Vector([2, 3, 2])
otherVec = Vector([3, 4, 5])
print(str(vec)) # [2, 3, 2]
print(vec ** 2) # [4, 9, 4]
print(vec - otherVec) # [-1, -1, -3]
print(vec + otherVec) # [5, 7, 7]
print(vec * 5) # [10, 15, 10]
|
class Block:
def __init__(self, block_id, alignment):
self.id = block_id
self.alignment = alignment
self.toroot = self # parent in find-union tree
self.shift = 0 # order relative to parent
self.reorder_shift = 0 # modification caused by edges inserted within group
self.orient = 1 # orientation relative to parent
self.flanks = {-1: 0, 1: 0} # blocks in group with negative/positive order (only in root)
def find(self):
if self.toroot is self:
return self
else:
root = self.toroot.find()
# let's update atributes for flattened tree structure
self.orient *= self.toroot.orient
self.shift = self.shift*self.toroot.orient+self.toroot.shift
self.reorder_shift *= self.toroot.orient
self.toroot = root
return root
def orientation(self):
self.find()
return self.orient
def order(self):
self.find()
return self.shift+self.reorder_shift
def reorder(self, n):
self.reorder_shift += n - self.order()
def size(self):
rootflanks = self.find().flanks
return rootflanks[1]+rootflanks[-1]+1
def minimum(self):
root = self.find()
return -root.flanks[-1]
def maximum(self):
root = self.find()
return root.flanks[1]
def unionto(self, other, reverse, flank): # join self to other
selfroot = self.find()
otheroot = other.find()
selfroot.orient = reverse
selfroot.reorder_shift *= reverse
selfroot.shift = flank*(otheroot.flanks[flank]+selfroot.flanks[-reverse*flank]+1)
otheroot.flanks[flank] += selfroot.flanks[-1]+selfroot.flanks[1]+1
selfroot.toroot = otheroot
del selfroot.flanks
def orient_maf_block(self):
# Modify alignment according to block orientation
if self.orientation() == -1:
for u in self.alignment:
u.seq = u.seq.reverse_complement()
u.annotations["strand"] *= -1
u.annotations["start"] = u.annotations["srcSize"] - u.annotations["size"] - u.annotations["start"]
|
def get_major_dot_minor_version(version):
"""
Convert full VERSION Django tuple to
a dotted string containing MAJOR.MINOR.
For example, (1, 9, 3, 'final', 0) will result in '1.9'
"""
return '.'.join([str(v) for v in version[:2]])
def get_module_short_name(klass):
"""
Return the short module name.
For example, full module name is `django.forms.fields` and
the short module name will be `fields`.
"""
return klass.__module__.rsplit('.', 1)[-1]
|
result = []
for line in DATA.splitlines():
d, t, lvl, msg = line.strip().split(', ', maxsplit=3)
d = date.fromisoformat(d)
t = time.fromisoformat(t)
dt = datetime.combine(d, t)
result.append({'when': dt, 'level': lvl, 'message': msg})
|
#!/usr/bin/env python
#####################################
# Installation module for ike-scan
#####################################
# AUTHOR OF MODULE NAME
AUTHOR="Jason Ashton (ninewires)"
# DESCRIPTION OF THE MODULE
DESCRIPTION="This module will install/update ike-scan - a command-line tool for discovering, fingerprinting and testing IPsec VPN systems"
# INSTALL TYPE GIT, SVN, FILE DOWNLOAD
# OPTIONS = GIT, SVN, FILE
INSTALL_TYPE="GIT"
# LOCATION OF THE FILE OR GIT/SVN REPOSITORY
REPOSITORY_LOCATION="https://github.com/royhills/ike-scan.git"
# WHERE DO YOU WANT TO INSTALL IT
INSTALL_LOCATION="ike-scan"
# DEPENDS FOR DEBIAN INSTALLS
DEBIAN="git,gcc,make"
# DEPENDS FOR FEDORA INSTALLS
FEDORA="git,gcc,make"
# DEPENDS FOR ARCHLINUX INSTALLS
ARCHLINUX="git,gcc,make"
# COMMANDS TO RUN AFTER
AFTER_COMMANDS="cd {INSTALL_LOCATION}, autoreconf --install, ./configure --with-openssl, make, make install"
# THIS WILL CREATE AN AUTOMATIC LAUNCHER FOR THE TOOL
LAUNCHER="ike-scan"
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: __init__.py.py
Author: limingdong
Date: 12/31/14
Description:
""" |
"""
Vicki Langer
Class: CS 521 - Fall 1
Date: 28 Sep 2021
Homework Problem # 4_1
taking a list of integers and creating a new one
with sum of nearest neighbors and itself
"""
INPUT_LIST = list(range(55, 0, -10)) # [55, 45, 35, 25, 15, 5]
max_index = len(INPUT_LIST) - 1
# output: 55+45=100 55+45+35=135 45+35+25=105 35+25+15=75 25+15+5=45 15+5=20
output_list = [] # expected: [100, 135, 105, 75, 45, 20]
current_index = 0
while len(output_list) < len(INPUT_LIST): # same num of elements as input list
# each int should be sum of nearest neighbors and itself from original list
# ints at beginning and end of list only have one nearest neighbor
if current_index == 0:
next_num = INPUT_LIST[current_index] + INPUT_LIST[current_index + 1]
current_index += 1
elif current_index > 0 and current_index != max_index:
next_num = (INPUT_LIST[current_index]
+ INPUT_LIST[current_index - 1]
+ INPUT_LIST[current_index + 1])
current_index += 1
else:
next_num = INPUT_LIST[current_index] + INPUT_LIST[current_index - 1]
current_index += 1
output_list.append(next_num)
# Print input and output lists
print("Input List:", INPUT_LIST)
print("Output List:", output_list)
# could refactor
# should use list comprehension with enumerate to manage less stuff
|
nr=int(input())
for i in range(1,nr+1):
print("*"*i)
|
# Copyright 2018 AT&T Intellectual Property. All other 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.
# Subdags
ALL_PREFLIGHT_CHECKS_DAG_NAME = 'preflight'
ARMADA_BUILD_DAG_NAME = 'armada_build'
DESTROY_SERVER_DAG_NAME = 'destroy_server'
DRYDOCK_BUILD_DAG_NAME = 'drydock_build'
VALIDATE_SITE_DESIGN_DAG_NAME = 'validate_site_design'
RELABEL_NODES_DAG_NAME = 'relabel_nodes'
# Steps
ACTION_XCOM = 'action_xcom'
ARMADA_TEST_RELEASES = 'armada_test_releases'
CONCURRENCY_CHECK = 'dag_concurrency_check'
CREATE_ACTION_TAG = 'create_action_tag'
DECIDE_AIRFLOW_UPGRADE = 'decide_airflow_upgrade'
DEPLOYMENT_CONFIGURATION = 'deployment_configuration'
GET_RENDERED_DOC = 'get_rendered_doc'
SKIP_UPGRADE_AIRFLOW = 'skip_upgrade_airflow'
UPGRADE_AIRFLOW = 'upgrade_airflow'
DESTROY_SERVER = 'destroy_nodes'
|
name = 'geo5038801mod'
apical_dendriteEnd = 79
total_user5 = 70
f = open(name + '.hoc','r')
new_ls = ''
for line in f:
if 'user5[' in line and 'create' not in line and 'append' not in line:
parts = line.split('user5[')
#sdfs
if '{user5[51] connect user5[52](0), 1}' in line:
pass
#asdas
pass
for i in range(len(parts)):
if i in range(1,len(parts)):
#asdas
parts[i]
num = int(parts[i][:parts[i].index(']')])
num = num + apical_dendriteEnd
new_ls += 'apic[' + str(num) + ']' + parts[i][parts[i].index(']')+1:].replace('apical_dendrite','apic')
else:
new_ls += parts[i].replace('apical_dendrite','apic')
elif 'create user5' in line:
new_ls +='\n'
elif 'user5al.append()' in line:
new_ls +=' for i=' + str(apical_dendriteEnd) + ', ' + \
str(apical_dendriteEnd + total_user5-1) +' apic[i] user5al.append()\n'
elif 'user5[i] all.append()' in line:
new_ls +='\n'
elif 'apical_dendrite[i] all.append()' in line:
new_ls += ' for i=0, '+ str(apical_dendriteEnd + total_user5-1) +' apic[i] all.append()'
elif 'apical_dendrite' in line and 'create' not in line:
new_ls += line.replace('apical_dendrite','apic').replace('apical_dendrite','apic').replace('apical_dendrite','apic')
elif 'create apical_dendrite' in line:
parts = line.split('apical_dendrite[')
new_ls += parts[0] + 'apic[' + str(apical_dendriteEnd+total_user5) + parts[1][parts[1].index(']'):]
elif 'template' in line:
new_ls += line.replace(name, name + 'Mod')
else:
new_ls += line
f.close()
f1 = open(name + 'Mod.hoc', 'w')
f1.write(new_ls)
f1.close()
|
"""
"""
data = """dataone: 81070
arxiv_oai: 72681
crossref: 71312
pubmed: 47506
figshare: 36462
scitech: 18362
clinicaltrials: 10244
plos: 9555
mit: 2488
vtech: 713
cmu: 601
columbia: 386
calpoly: 377
opensiuc: 293
doepages: 123
stcloud: 47
spdataverse: 40
trinity: 32
texasstate: 31
valposcholar: 26
utaustin: 13
uwashington: 12
uiucideals: 6
ucescholarship: 0
upennsylvania: 0
utaustin: 0
waynestate: 0"""
def return_providers(provider_data=None):
if not provider_data:
provider_data = data
providers = []
lines = provider_data.split('\n')
for line in lines:
if line != '':
line_split = line.split(':')
provider = line_split[0]
providers.append(provider)
return providers |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
基础协议类
"""
class BaseProtocol(object):
def process_data(self, device_info, data_msg):
"""
返回device_data
:param data_msg:
:return:
"""
return None, None
def process_cmd(self, device_info, device_cmd):
"""
返回cmd_msg
:param device_cmd:
:return:
"""
return None
|
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
{
'name': 'Automated Action Rules',
'version': '1.0',
'category': 'Sales/Sales',
'description': """
This module allows to implement action rules for any object.
============================================================
Use automated actions to automatically trigger actions for various screens.
**Example:** A lead created by a specific user may be automatically set to a specific
Sales Team, or an opportunity which still has status pending after 14 days might
trigger an automatic reminder email.
""",
'depends': ['base', 'resource', 'mail'],
'data': [
'security/ir.model.access.csv',
'data/base_automation_data.xml',
'views/base_automation_view.xml',
],
'demo': [
'data/base_automation_demo.xml',
],
'license': 'LGPL-3',
}
|
#!/usr/bin/env python
command += maketx("../common/textures/mandrill.tif --wrap clamp -o mandrill.tx")
command += testshade("-g 64 64 --center -od uint8 -o Cblack black.tif -o Cclamp clamp.tif -o Cperiodic periodic.tif -o Cmirror mirror.tif -o Cdefault default.tif test")
outputs = [ "out.txt", "black.tif", "clamp.tif", "periodic.tif", "mirror.tif",
"default.tif" ]
|
#!usr/bin/env python
#-*- coding:utf-8 -*-
class Model(object):
"""
DNN LM
"""
def __init__(self, model_path):
pass
def score(self, sentence):
pass
def PPL(self, sentence):
pass
|
"""
This is the PyTurbSim package. For more information visit the `PyTurbSim home page <http://lkilcher.github.io/pyTurbSim/>`_.
"""
#from api import *
|
class Solution(object):
def findDuplicates(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
return self.noExtraSpace(nums)
def extraSpace(self, nums):
count = {}
for i in range(len(nums)):
count[nums[i]] = count.setdefault(nums[i], 0) + 1
return [num for num in count.keys() if count[num] > 1]
def noExtraSpace(self, nums):
for num in nums:
idx = abs(num) - 1
nums[idx] = -abs(nums[idx])
for num in nums:
idx = abs(num) - 1
nums[idx] = -nums[idx]
return [i + 1 for i in range(len(nums)) if nums[i] < 0] |
# You are given two non-empty linked lists representing two non-negative integers.
# The digits are stored in reverse order and each of their nodes contain a single digit.
# Add the two numbers and return it as a linked list.
# You may assume the two numbers do not contain any leading zero, except the number 0 itself.
# Example:
# Input: (2 -> 4 -> 3) + (5 -> 6 -> 4)
# Output: 7 -> 0 -> 8
# Explanation: 342 + 465 = 807.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def addTwoNumbers(self, l1: ListNode, l2: ListNode) -> ListNode:
num1, num2 = 0, 0
i, j = 0, 0
while l1:
num1 += l1.val * (10 ** i)
i += 1
l1 = l1.next
while l2:
num2 += l2.val * (10 ** j)
j += 1
l2 = l2.next
num = num1 + num2
head = ListNode(num % 10)
num = num // 10
cur = head
while num != 0:
cur.next = ListNode(num % 10)
cur = cur.next
num = num // 10
return head
|
source_data = 'day17/input.txt'
with open(source_data, 'r') as f:
input = [x.replace('\n', '') for x in f.readlines()]
target = [[int(y) for y in x.split('=')[1].split('..')] for x in input[0].split(',')]
x = target[0]
y = target[1]
options = {}
testing_velocities = range(-200, 200)
for x_test in testing_velocities:
for y_test in testing_velocities:
current_velocity = [x_test, y_test]
current_location = [0, 0]
max_y = 0
while current_location[1] >= y[0]:
current_location = list(map(sum, zip(current_velocity, current_location)))
current_velocity[0] = max(0, current_velocity[0] - 1)
current_velocity[1] = current_velocity[1] - 1
max_y = max(max_y, current_location[1])
if (current_location[0] <= x[1]) and \
(current_location[0] >= x[0]) and \
(current_location[1] <= y[1]) and \
(current_location[1] >= y[0]):
options[(x_test, y_test)] = max_y
break
max_x = max([x[0] for x in options.keys()])
max_y = max([x[1] for x in options.keys()])
print(len(options))
# > 394
|
def strip_name_amount(arg: str):
"""
Strip the name and the last position integer
Args:
arg: string
Returns:
string and integer with the default value 1
"""
strings = arg.split()
try:
first = ' '.join(strings[:-1])
second = int(strings[-1])
except (ValueError, IndexError):
first = ' '.join(strings)
second = 1
return first, second
|
atributes = [
{"name":"color", "value":{'amarillo': 0, 'morado': 1, 'azul': 2, 'verde': 3, 'naranja': 4, 'rojo': 5}},
{"name":"size", "value":{'m': 2, 's': 1, 'xxl': 5, 'xs': 0, 'l': 3, 'xl': 4}},
{"name":"brand", "value":{'blue': 0, 'polo': 1, 'adidas': 2, 'zara': 3, 'nike': 4}},
{"name": "precio", "value": {2333: 0, 11000: 1, 4569: 2, 14000: 3, 4789: 4, 4444: 5, 8889: 6, 1540: 7, 4447: 8, 4558: 9, 9500: 10, 15000: 11, 10000: 12}}
]
products = [
{
"id": 1,
"atrr": {
"color": "amarillo",
"size": "m",
"brand": "blue",
"precio": 2333
}
},
{
"id": 2,
"atrr": {
"color": "morado",
"size": "m",
"brand": "polo",
"precio": 11000
}
},
{
"id": 3,
"atrr": {
"color": "azul",
"size": "s",
"brand": "adidas",
"precio": 4569
}
},
{
"id": 4,
"atrr": {
"color": "verde",
"size": "xxl",
"brand": "blue",
"precio": 14000
}
},
{
"id": 5,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "zara",
"precio": 4789
}
},
{
"id": 6,
"atrr": {
"color": "amarillo",
"size": "xxl",
"brand": "nike",
"precio": 4789
}
},
{
"id": 7,
"atrr": {
"color": "morado",
"size": "l",
"brand": "blue",
"precio": 4444
}
},
{
"id": 8,
"atrr": {
"color": "naranja",
"size": "l",
"brand": "adidas",
"precio": 14000
}
},
{
"id": 9,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "zara",
"precio": 8889
}
},
{
"id": 10,
"atrr": {
"color": "verde",
"size": "s",
"brand": "zara",
"precio": 4789
}
},
{
"id": 11,
"atrr": {
"color": "verde",
"size": "s",
"brand": "polo",
"precio": 4444
}
},
{
"id": 12,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "blue",
"precio": 1540
}
},
{
"id": 13,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "nike",
"precio": 4447
}
},
{
"id": 14,
"atrr": {
"color": "naranja",
"size": "m",
"brand": "adidas",
"precio": 4558
}
},
{
"id": 15,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "polo",
"precio": 4447
}
},
{
"id": 16,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "blue",
"precio": 4569
}
},
{
"id": 17,
"atrr": {
"color": "morado",
"size": "xl",
"brand": "blue",
"precio": 4558
}
},
{
"id": 18,
"atrr": {
"color": "rojo",
"size": "xl",
"brand": "zara",
"precio": 11000
}
},
{
"id": 19,
"atrr": {
"color": "verde",
"size": "m",
"brand": "adidas",
"precio": 4789
}
},
{
"id": 20,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "nike",
"precio": 8889
}
},
{
"id": 21,
"atrr": {
"color": "azul",
"size": "xl",
"brand": "adidas",
"precio": 1540
}
},
{
"id": 22,
"atrr": {
"color": "verde",
"size": "m",
"brand": "zara",
"precio": 2333
}
},
{
"id": 23,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "adidas",
"precio": 8889
}
},
{
"id": 24,
"atrr": {
"color": "amarillo",
"size": "m",
"brand": "polo",
"precio": 9500
}
},
{
"id": 25,
"atrr": {
"color": "naranja",
"size": "l",
"brand": "adidas",
"precio": 1540
}
},
{
"id": 26,
"atrr": {
"color": "verde",
"size": "xxl",
"brand": "adidas",
"precio": 15000
}
},
{
"id": 27,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "blue",
"precio": 14000
}
},
{
"id": 28,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "blue",
"precio": 8889
}
},
{
"id": 29,
"atrr": {
"color": "rojo",
"size": "xl",
"brand": "adidas",
"precio": 4447
}
},
{
"id": 30,
"atrr": {
"color": "amarillo",
"size": "l",
"brand": "adidas",
"precio": 9500
}
},
{
"id": 31,
"atrr": {
"color": "verde",
"size": "m",
"brand": "blue",
"precio": 4558
}
},
{
"id": 32,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "nike",
"precio": 4558
}
},
{
"id": 33,
"atrr": {
"color": "verde",
"size": "xs",
"brand": "blue",
"precio": 4447
}
},
{
"id": 34,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "polo",
"precio": 1540
}
},
{
"id": 35,
"atrr": {
"color": "naranja",
"size": "xl",
"brand": "adidas",
"precio": 2333
}
},
{
"id": 36,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "polo",
"precio": 4558
}
},
{
"id": 37,
"atrr": {
"color": "naranja",
"size": "xl",
"brand": "zara",
"precio": 9500
}
},
{
"id": 38,
"atrr": {
"color": "rojo",
"size": "s",
"brand": "zara",
"precio": 2333
}
},
{
"id": 39,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "polo",
"precio": 11000
}
},
{
"id": 40,
"atrr": {
"color": "morado",
"size": "s",
"brand": "adidas",
"precio": 2333
}
},
{
"id": 41,
"atrr": {
"color": "naranja",
"size": "m",
"brand": "blue",
"precio": 4444
}
},
{
"id": 42,
"atrr": {
"color": "verde",
"size": "s",
"brand": "blue",
"precio": 4558
}
},
{
"id": 43,
"atrr": {
"color": "naranja",
"size": "l",
"brand": "nike",
"precio": 8889
}
},
{
"id": 44,
"atrr": {
"color": "rojo",
"size": "xl",
"brand": "zara",
"precio": 11000
}
},
{
"id": 45,
"atrr": {
"color": "verde",
"size": "xxl",
"brand": "polo",
"precio": 14000
}
},
{
"id": 46,
"atrr": {
"color": "rojo",
"size": "l",
"brand": "polo",
"precio": 4789
}
},
{
"id": 47,
"atrr": {
"color": "verde",
"size": "s",
"brand": "nike",
"precio": 2333
}
},
{
"id": 48,
"atrr": {
"color": "morado",
"size": "xxl",
"brand": "nike",
"precio": 1540
}
},
{
"id": 49,
"atrr": {
"color": "amarillo",
"size": "xxl",
"brand": "polo",
"precio": 10000
}
},
{
"id": 50,
"atrr": {
"color": "azul",
"size": "s",
"brand": "adidas",
"precio": 4558
}
},
{
"id": 51,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "adidas",
"precio": 4789
}
},
{
"id": 52,
"atrr": {
"color": "rojo",
"size": "s",
"brand": "polo",
"precio": 4444
}
},
{
"id": 53,
"atrr": {
"color": "verde",
"size": "xxl",
"brand": "nike",
"precio": 2333
}
},
{
"id": 54,
"atrr": {
"color": "morado",
"size": "m",
"brand": "nike",
"precio": 8889
}
},
{
"id": 55,
"atrr": {
"color": "amarillo",
"size": "s",
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"atrr": {
"color": "naranja",
"size": "xs",
"brand": "adidas",
"precio": 15000
}
},
{
"id": 911,
"atrr": {
"color": "verde",
"size": "l",
"brand": "zara",
"precio": 4558
}
},
{
"id": 912,
"atrr": {
"color": "rojo",
"size": "l",
"brand": "nike",
"precio": 10000
}
},
{
"id": 913,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "blue",
"precio": 8889
}
},
{
"id": 914,
"atrr": {
"color": "azul",
"size": "m",
"brand": "adidas",
"precio": 10000
}
},
{
"id": 915,
"atrr": {
"color": "amarillo",
"size": "xl",
"brand": "blue",
"precio": 2333
}
},
{
"id": 916,
"atrr": {
"color": "amarillo",
"size": "xl",
"brand": "adidas",
"precio": 2333
}
},
{
"id": 917,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "nike",
"precio": 9500
}
},
{
"id": 918,
"atrr": {
"color": "verde",
"size": "xs",
"brand": "blue",
"precio": 4789
}
},
{
"id": 919,
"atrr": {
"color": "naranja",
"size": "xxl",
"brand": "nike",
"precio": 2333
}
},
{
"id": 920,
"atrr": {
"color": "amarillo",
"size": "xl",
"brand": "blue",
"precio": 1540
}
},
{
"id": 921,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "polo",
"precio": 4569
}
},
{
"id": 922,
"atrr": {
"color": "azul",
"size": "xl",
"brand": "nike",
"precio": 4569
}
},
{
"id": 923,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "polo",
"precio": 14000
}
},
{
"id": 924,
"atrr": {
"color": "azul",
"size": "s",
"brand": "zara",
"precio": 9500
}
},
{
"id": 925,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "nike",
"precio": 4558
}
},
{
"id": 926,
"atrr": {
"color": "azul",
"size": "m",
"brand": "blue",
"precio": 10000
}
},
{
"id": 927,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "zara",
"precio": 10000
}
},
{
"id": 928,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "polo",
"precio": 9500
}
},
{
"id": 929,
"atrr": {
"color": "naranja",
"size": "xl",
"brand": "adidas",
"precio": 10000
}
},
{
"id": 930,
"atrr": {
"color": "naranja",
"size": "s",
"brand": "polo",
"precio": 4569
}
},
{
"id": 931,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "blue",
"precio": 2333
}
},
{
"id": 932,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "blue",
"precio": 14000
}
},
{
"id": 933,
"atrr": {
"color": "azul",
"size": "l",
"brand": "adidas",
"precio": 10000
}
},
{
"id": 934,
"atrr": {
"color": "morado",
"size": "m",
"brand": "zara",
"precio": 14000
}
},
{
"id": 935,
"atrr": {
"color": "azul",
"size": "l",
"brand": "polo",
"precio": 4444
}
},
{
"id": 936,
"atrr": {
"color": "azul",
"size": "xl",
"brand": "blue",
"precio": 4789
}
},
{
"id": 937,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "blue",
"precio": 8889
}
},
{
"id": 938,
"atrr": {
"color": "rojo",
"size": "m",
"brand": "adidas",
"precio": 4789
}
},
{
"id": 939,
"atrr": {
"color": "amarillo",
"size": "l",
"brand": "nike",
"precio": 11000
}
},
{
"id": 940,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "nike",
"precio": 4569
}
},
{
"id": 941,
"atrr": {
"color": "azul",
"size": "m",
"brand": "blue",
"precio": 4569
}
},
{
"id": 942,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "polo",
"precio": 15000
}
},
{
"id": 943,
"atrr": {
"color": "naranja",
"size": "s",
"brand": "polo",
"precio": 10000
}
},
{
"id": 944,
"atrr": {
"color": "morado",
"size": "xxl",
"brand": "adidas",
"precio": 11000
}
},
{
"id": 945,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "zara",
"precio": 15000
}
},
{
"id": 946,
"atrr": {
"color": "amarillo",
"size": "xl",
"brand": "blue",
"precio": 4558
}
},
{
"id": 947,
"atrr": {
"color": "naranja",
"size": "m",
"brand": "zara",
"precio": 8889
}
},
{
"id": 948,
"atrr": {
"color": "morado",
"size": "m",
"brand": "nike",
"precio": 4569
}
},
{
"id": 949,
"atrr": {
"color": "azul",
"size": "xl",
"brand": "nike",
"precio": 10000
}
},
{
"id": 950,
"atrr": {
"color": "naranja",
"size": "xl",
"brand": "zara",
"precio": 15000
}
},
{
"id": 951,
"atrr": {
"color": "naranja",
"size": "l",
"brand": "nike",
"precio": 2333
}
},
{
"id": 952,
"atrr": {
"color": "amarillo",
"size": "xl",
"brand": "zara",
"precio": 4789
}
},
{
"id": 953,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "zara",
"precio": 10000
}
},
{
"id": 954,
"atrr": {
"color": "verde",
"size": "xl",
"brand": "polo",
"precio": 8889
}
},
{
"id": 955,
"atrr": {
"color": "morado",
"size": "s",
"brand": "zara",
"precio": 14000
}
},
{
"id": 956,
"atrr": {
"color": "verde",
"size": "xs",
"brand": "blue",
"precio": 15000
}
},
{
"id": 957,
"atrr": {
"color": "morado",
"size": "s",
"brand": "adidas",
"precio": 8889
}
},
{
"id": 958,
"atrr": {
"color": "rojo",
"size": "s",
"brand": "polo",
"precio": 2333
}
},
{
"id": 959,
"atrr": {
"color": "azul",
"size": "xl",
"brand": "zara",
"precio": 10000
}
},
{
"id": 960,
"atrr": {
"color": "amarillo",
"size": "xxl",
"brand": "adidas",
"precio": 4444
}
},
{
"id": 961,
"atrr": {
"color": "verde",
"size": "xs",
"brand": "polo",
"precio": 4447
}
},
{
"id": 962,
"atrr": {
"color": "rojo",
"size": "m",
"brand": "adidas",
"precio": 15000
}
},
{
"id": 963,
"atrr": {
"color": "azul",
"size": "l",
"brand": "adidas",
"precio": 2333
}
},
{
"id": 964,
"atrr": {
"color": "morado",
"size": "s",
"brand": "zara",
"precio": 9500
}
},
{
"id": 965,
"atrr": {
"color": "naranja",
"size": "xxl",
"brand": "polo",
"precio": 10000
}
},
{
"id": 966,
"atrr": {
"color": "morado",
"size": "s",
"brand": "polo",
"precio": 2333
}
},
{
"id": 967,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "adidas",
"precio": 4447
}
},
{
"id": 968,
"atrr": {
"color": "verde",
"size": "s",
"brand": "zara",
"precio": 14000
}
},
{
"id": 969,
"atrr": {
"color": "azul",
"size": "xxl",
"brand": "blue",
"precio": 15000
}
},
{
"id": 970,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "adidas",
"precio": 10000
}
},
{
"id": 971,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "blue",
"precio": 4558
}
},
{
"id": 972,
"atrr": {
"color": "morado",
"size": "s",
"brand": "nike",
"precio": 9500
}
},
{
"id": 973,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "polo",
"precio": 4569
}
},
{
"id": 974,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "polo",
"precio": 10000
}
},
{
"id": 975,
"atrr": {
"color": "azul",
"size": "l",
"brand": "polo",
"precio": 4447
}
},
{
"id": 976,
"atrr": {
"color": "amarillo",
"size": "xs",
"brand": "blue",
"precio": 15000
}
},
{
"id": 977,
"atrr": {
"color": "rojo",
"size": "s",
"brand": "adidas",
"precio": 4789
}
},
{
"id": 978,
"atrr": {
"color": "naranja",
"size": "l",
"brand": "adidas",
"precio": 4447
}
},
{
"id": 979,
"atrr": {
"color": "amarillo",
"size": "s",
"brand": "blue",
"precio": 14000
}
},
{
"id": 980,
"atrr": {
"color": "verde",
"size": "s",
"brand": "nike",
"precio": 11000
}
},
{
"id": 981,
"atrr": {
"color": "naranja",
"size": "xs",
"brand": "adidas",
"precio": 10000
}
},
{
"id": 982,
"atrr": {
"color": "rojo",
"size": "s",
"brand": "zara",
"precio": 4558
}
},
{
"id": 983,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "polo",
"precio": 4569
}
},
{
"id": 984,
"atrr": {
"color": "azul",
"size": "s",
"brand": "adidas",
"precio": 4558
}
},
{
"id": 985,
"atrr": {
"color": "morado",
"size": "l",
"brand": "polo",
"precio": 4444
}
},
{
"id": 986,
"atrr": {
"color": "amarillo",
"size": "s",
"brand": "zara",
"precio": 4447
}
},
{
"id": 987,
"atrr": {
"color": "verde",
"size": "s",
"brand": "zara",
"precio": 4444
}
},
{
"id": 988,
"atrr": {
"color": "amarillo",
"size": "l",
"brand": "blue",
"precio": 4444
}
},
{
"id": 989,
"atrr": {
"color": "morado",
"size": "xs",
"brand": "zara",
"precio": 8889
}
},
{
"id": 990,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "adidas",
"precio": 4447
}
},
{
"id": 991,
"atrr": {
"color": "rojo",
"size": "xl",
"brand": "blue",
"precio": 10000
}
},
{
"id": 992,
"atrr": {
"color": "morado",
"size": "xxl",
"brand": "adidas",
"precio": 9500
}
},
{
"id": 993,
"atrr": {
"color": "rojo",
"size": "xs",
"brand": "zara",
"precio": 2333
}
},
{
"id": 994,
"atrr": {
"color": "naranja",
"size": "xxl",
"brand": "zara",
"precio": 9500
}
},
{
"id": 995,
"atrr": {
"color": "verde",
"size": "xs",
"brand": "nike",
"precio": 11000
}
},
{
"id": 996,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "blue",
"precio": 4789
}
},
{
"id": 997,
"atrr": {
"color": "azul",
"size": "xxl",
"brand": "nike",
"precio": 4558
}
},
{
"id": 998,
"atrr": {
"color": "naranja",
"size": "l",
"brand": "zara",
"precio": 15000
}
},
{
"id": 999,
"atrr": {
"color": "azul",
"size": "xs",
"brand": "nike",
"precio": 1540
}
},
{
"id": 1000,
"atrr": {
"color": "morado",
"size": "xl",
"brand": "nike",
"precio": 15000
}
}
]
|
# 1 point
a = int(input())
b = int(input())
c = int(input())
print(a and b and c and "Нет нулевых значений!!!")
# 2 point
print(a or b or c or "Введены все нули!")
# 3-4 point
if a > (b + c):
print(a - b - c)
else:
print(b + c - a)
# 5 point
if a > 50 and (b > a or c > a):
print("Вася")
# 6 point
if a > 5 or (b == c == 7):
print("Петя")
|
def repeated(words):
distance = float('inf')
d = {}
for i, word in enumerate(words):
if word in d:
temp = abs(d[word] - i)
if temp < distance:
distance = temp
d[word] = i
return distance
|
class Skin(object):
menu_positions = ["left", "right"]
height_decrement = 150
def get_base_template(self, module):
t = self.base_template
if module and module.has_local_nav():
t = self.local_nav_template
return t
def initialize(self, appshell):
pass
|
# Day5 of my 100DaysOfCode Challenge
# Program to learn is and in
# use of is
number = None
if (number is None):
print("Yes")
else:
print("No")
# use of in
list = [45, 34, 67, 99]
print(34 in list) |
def multiplication(factor, multiplier):
product = factor * multiplier
if (product % 1) == 0:
return int(product)
else:
return product
|
# Given a sorted array nums, remove the duplicates in-place such that duplicates appeared at most twice and return the new length.
# Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory.
# Example 1:
# Given nums = [1,1,1,2,2,3],
# Your function should return length = 5, with the first five elements of nums being 1, 1, 2, 2 and 3 respectively.
# It doesn't matter what you leave beyond the returned length.
# Example 2:
# Given nums = [0,0,1,1,1,1,2,3,3],
# Your function should return length = 7, with the first seven elements of nums being modified to 0, 0, 1, 1, 2, 3 and 3 respectively.
# It doesn't matter what values are set beyond the returned length.
# Clarification:
# Confused why the returned value is an integer but your answer is an array?
# Note that the input array is passed in by reference, which means modification to the input array will be known to the caller as well.
# Internally you can think of this:
# // nums is passed in by reference. (i.e., without making a copy)
# int len = removeDuplicates(nums);
# // any modification to nums in your function would be known by the caller.
# // using the length returned by your function, it prints the first len elements.
# for (int i = 0; i < len; i++) {
# print(nums[i]);
# }
class Solution(object):
def removeDuplicates(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
# 重复数字移到数组尾部
# M1.
n = len(nums)
if n < 3:
return n
loc = 2
for idx in range(2, n):
if not (nums[loc-1] == nums[loc-2] and nums[idx] == nums[loc-1]):
nums[loc] = nums[idx]
loc += 1
return loc
# M2.
tail = 0
for num in nums:
if tail < 2 or num != nums[tail-1] or num != nums[tail-2]:
nums[tail] = num
tail += 1
return tail |
[ ## this file was manually modified by jt
{
'functor' : {
'description' : ['returns a scalar integer value composed by the highiest bits.',
'of each vector element'],
'module' : 'boost',
'arity' : '1',
'call_types' : [],
'ret_arity' : '0',
'rturn' : {
'default' : 'T',
},
'special' : ['reduction'],
'type_defs' : [],
'types' : ['real_', 'signed_int_', 'unsigned_int_']
},
'info' : 'manually modified',
'unit' : {
'global_header' : {
'first_stamp' : 'created by jt the 24/02/2011',
'included' : [],
'simd_included' : ['#include <boost/simd/include/functions/bits.hpp>',
'#include <boost/simd/include/functions/shri.hpp>'],
'cover_included' : ['#include <boost/simd/include/functions/bits.hpp>'],
'no_ulp' : 'True',
'notes' : [],
'stamp' : 'modified by jt the 24/02/2011',
},
'ranges' : {
'default' : [['boost::simd::Valmin<T>()', 'boost::simd::Valmax<T>()']],
},
'specific_values' : {
'signed_int_' : {
'boost::simd::One<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Zero<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Signmask<T>()' : {'result' : 'r_t((1ull << boost::simd::meta::cardinal_of<vT>::value) - 1)','ulp_thresh' : '0',},
'boost::simd::Allbits<T>()' : {'result' : 'r_t((1ull << boost::simd::meta::cardinal_of<vT>::value) - 1)','ulp_thresh' : '0',},
},
'unsigned_int_' : {
'boost::simd::One<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Zero<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Allbits<T>()' : {'result' : 'r_t((1ull << boost::simd::meta::cardinal_of<vT>::value) - 1)','ulp_thresh' : '0',},
},
'real_' : {
'boost::simd::Inf<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Minf<T>()' : {'result' : 'boost::simd::shri(boost::simd::Mone<boost::simd::int32_t>(),int(32-boost::simd::meta::cardinal_of<vT>::value))','ulp_thresh' : '0',},
'boost::simd::Mone<T>()' : {'result' : 'boost::simd::shri(boost::simd::Mone<boost::simd::int32_t>(),int(32-boost::simd::meta::cardinal_of<vT>::value))','ulp_thresh' : '0',},
'boost::simd::Nan<T>()' : {'result' : 'boost::simd::shri(boost::simd::Mone<boost::simd::int32_t>(),int(32-boost::simd::meta::cardinal_of<vT>::value))','ulp_thresh' : '0',},
'boost::simd::One<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Zero<T>()' : {'result' : 'boost::simd::Zero<r_t>()','ulp_thresh' : '0',},
'boost::simd::Signmask<T>()' : {'result' : 'r_t((1ull << boost::simd::meta::cardinal_of<vT>::value) - 1)','ulp_thresh' : '0',},
'boost::simd::Allbits<T>()' : {'result' : 'r_t((1ull << boost::simd::meta::cardinal_of<vT>::value) - 1)','ulp_thresh' : '0',},
},
},
'verif_test' : {
'nb_rand' : {
'default' : 'NT2_NB_RANDOM_TEST',
},
'property_call' : {
'default' : ['boost::simd::hmsb(a0)'],
},
'property_value' : {
'default' : ['boost::simd::b_and(a0, boost::simd::Signmask<r_t>()) != 0'],
},
'ulp_thresh' : {
'default' : ['0'],
},
'scalar_simul' :{
'default' : [
" int z = 0;",
" int N = cardinal_of<n_t>::value;",
" for(int i = 0; i< N; ++i)",
" {",
" z |= boost::simd::bits(a0[i]) >> (sizeof(iT)*CHAR_BIT - 1) << (N-i-1);"
" }",
" NT2_TEST_EQUAL( v,z);",
]
},
},
},
},
]
|
sal = float(input('Digite o salário do funcionário: R$'))
if sal > 1250.00:
print('O novo salário será de R${:.2f} com 10% de aumento!'.format(sal + (sal * 10 / 100)))
else:
print('O novo salário será de R${:.2f} com 15% de aumento!'.format(sal + (sal * 15 / 100)))
|
class Source:
source_list = []
def __init__(self, id, description, url, category):
self.id = id
self.description = description
self.url = url
self.category = category
class Articles:
def __init__(self, id,author, title, urlToImage, url):
self.id = id
self.author = author
self.title = title
self.urlToImage= urlToImage
self.url = url
|
#! /usr/bin/python
def _zeros(size):
out = [[0 for _ in range(size)] for _ in range(size)]
return out
def _enforce_self_dist(dist_matrix, scale):
longest = max((max(row) for row in dist_matrix))
longest *= scale
for i in range(len(dist_matrix)):
dist_matrix[i][i] = longest
return dist_matrix
def build_distance(hub_distance, patient_distance, scale):
out = _zeros(len(patient_distance) + 1)
for i, d in enumerate(hub_distance, 1):
out[0][i] = d
out[i][0] = d
for i, row in enumerate(patient_distance, 1):
for j, d in enumerate(row, 1):
out[i][j] = d
return _enforce_self_dist(out, scale)
|
frase = str(input('Digite uma frase: ')).strip().upper()
print('Quantas vezes aparece a letra "A"? {}'.format(frase.count('A')))
print('Em que posição a letra "A" aparece primeiro? {}'.format(frase.find('A')))
print('Em que posição a letra "A" aparece pela última vez? {}'.format((frase.rfind('A'))))
|
# Parameters template.
#
# This should agree with the current params.ini with the exception of the
# fields we wish to modify.
#
# This template is called by run_sample.py for producing many outputs that are
# needed to run a convergence study.
finess_data_template = '''
; Parameters common to FINESS applications
[finess]
ndims = 2 ; 1, 2, or 3
nout = 1 ; number of output times to print results
tfinal = 1.0 ; final time
initial_dt = 1.0 ; initial dt
max_dt = 1.0 ; max allowable dt
max_cfl = 0.4 ; max allowable Courant number
desired_cfl = 0.35 ; desired Courant number
nv = 500000 ; max number of time steps per call to DogSolve
time_stepping_method = %(ts_method_str)s ; (e.g., Runge-Kutta, Lax-Wendroff, Multiderivative, User-Defined)
space_order = %(s_order)i ; order of accuracy in space
time_order = %(t_order)i ; order of accuracy in time
verbosity = 1 ; verbosity of output
mcapa = 0 ; mcapa (capacity function index in aux arrays)
maux = 2 ; maux (number of aux arrays, maux >= mcapa)
source_term = false ; source term (1-yes, 0-no)
meqn = 1 ; number of equations
output_dir = %(output)s ; location of the output directory
; -------------------------------------------------
; Cartesian grid data (ignored if Unstructured)
; -------------------------------------------------
[grid]
mx = %(mx)i ; number of grid elements in x-direction
my = %(my)i ; number of grid elements in y-direction
mbc = 3 ; number of ghost cells on each boundary
xlow = 0.0e0 ; left end point
xhigh = 1.0e0 ; right end point
ylow = 0.0e0 ; lower end point
yhigh = 1.0e0 ; upper end point
; -------------------------------------------------
; WENO values
; -------------------------------------------------
[weno]
weno_version = JS ; type of WENO reconstruction (e.g. JS, FD, Z)
epsilon = 1e-29 ; regulization parameter ( epsilon > 0.0 )
alpha_scaling = 1.1 ; scaling parameter ( alpha_scaling >= 1.0 )
'''
|
# https://leetcode.com/problems/sort-colors/
class Solution:
def sortColors(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
if len(nums) < 2: return
l, r = 0, len(nums) - 1
while l < r:
while l < r and nums[l] in (0, 1): l += 1
while r > l and nums[r] == 2: r -= 1
if l < r:
nums[l], nums[r] = nums[r], nums[l]
l += 1
r -= 1
l = 0
if nums[r] == 2: r -= 1
while l < r:
while l < r and nums[l] == 0: l += 1
while r > l and nums[r] == 1: r -= 1
if l < r:
nums[l], nums[r] = nums[r], nums[l]
l += 1
r -= 1
|
A = int(input())
B = int(input())
H = int(input())
if ((H>=A) and (B>=H)):
print("Это нормально")
elif (A>H):
print("Недосып")
else:
print("Пересып") |
class People:
nome = ""
def __init__(self, nome):
self.nome = nome
def talk(self):
print('Meu nome é ' + self.nome)
p1 = People("joão")
p1.talk()
#https://pt.stackoverflow.com/q/514661/101
|
class AST:
def __init__(self, root_symbol, rule, *children):
self.root_symbol = root_symbol
self.rule = rule
self.children = children
def __str__(self):
return str(self.root_symbol)
class Leaf(AST):
def __init__(self, root_symbol, actual_input):
super(Leaf, self).__init__(root_symbol, None)
self.actual_input = actual_input
def __str__(self):
return str(self.actual_input)
|
# Copyright 2020-present NAVER Corp. Under BSD 3-clause license
"""
OpenSfM to kapture import and export.
"""
|
product = 1
i = 1
while product > 0.5:
product *= (365.0 - i) / 365.0
i += 1
print(product, i)
|
"""Faça um programa que leia um ano qualquer e mostre se ele é BISSEXTO"""
ano = int(input('Informe um ano: '))
if ano % 4 == 0:
print('Ano BISSEXTO')
else:
print('Não é BISSEXTO')
|
class Direcao:
def __init__(self):
self.posicoes = ("Norte", "Leste", "Sul", "Oeste")
self.direcao_atual = 0
def girar_a_direita(self):
self.direcao_atual += 1
self.direcao_atual = min(3, self.direcao_atual)
#if self.direcao_atual > 3:
#self.direcao_atual = 0
def girar_a_esquerda(self):
self.direcao_atual -= 1
self.direcao_atual = max(-3, self.direcao_atual)
##if self.direcao_atual < -3:
##self.direcao_atual = 0
if __name__ == '__main__':
d = Direcao()
print(d.direcao_atual)
d.girar_a_direita()
print(d.direcao_atual)
d.girar_a_direita()
print(d.direcao_atual)
d.girar_a_direita()
print(d.direcao_atual)
d.girar_a_direita()
print(d.direcao_atual)
d.girar_a_esquerda()
print(d.direcao_atual)
d.girar_a_esquerda()
print(d.direcao_atual)
d.girar_a_esquerda()
print(d.direcao_atual)
d.girar_a_esquerda()
print(d.direcao_atual)
|
#__author__:baobao
#date:2018/3/24
print("hello"*2)#重复输出字符串
print("hello"[2:])#从第二个开始取到最后
print("he" in "hello")#判断是否在字符串中
a = '123'
b = 'abc'
d = '444'
c = a + b
print(c)
#适用大量拼接
c = '*********'.join([a,b,d]) #【用的比较多】把列表以某个字符拼接成字符串，和php的implode差不多 123*********abc*********444,
print(c)
#########################字符串的内置方法
st = 'he\tllo kitty'
st.count('l') #【用的比较多】计算字符个数
st.capitalize() #字符串首字母大写
print(st.center(50,'-')) #【用的比较多】把字符串放到自定义数量的自定义字符中间 -------------------hello kitty--------------------
st.endswith('y') #判断是否以某个字符串为结尾，返回布尔值
st.startswith('he') #【用的比较多】判断是否以某个字符串为开始
st.expandtabs(tabsize=10) #设置字符串中的\t（tab键）相当于多少个空格
st2 = 'hello kitty'
st2.find('t') #【用的比较多】查找第一个字符，并返回在字符串中对应的索引值
st2.rfind("t")
st3 = 'hello {name},is {age}'
print(st3.format(name="kudoxi",age="25")) #【用的比较多】格式化输出的另一种方法
st3.format_map({'name':"katja","age":"25"})#功能同上，只不过是以字典形式写
st4 = 'hello {{}} {name} '
print(st4.format(name="kudoxi")) #如果字符串里本身就有大括号，想让其保留而不作为格式化
st4.index('t') #和find一样，只是如果查不到字符，index会报错，find不会报错，会返回-1
'123asn'.isalnum() #判断字符串是否包含数字和字母，返回布尔值
'00101'.isdecimal() #检查字符串是否只包含十进制字符
'123'.isdigit() #判断是否为整型数字类型的字符串
'ass'.isnumeric() #同上
'23ad'.isidentifier() #判断是不是非法变量名
'Sash'.islower() #是否全都是小写字母
'ASDK'.isupper() #是否全大写字母
' '.isspace() #判断是否全是空格
'Ssdh Tsad'.istitle() #判断每个单词的首字母是否都是大写
'Ssdh'.lower() #【用的比较多】大写全变为小写
'Ssdh'.upper() #【用的比较多】小写全变大写
'Ssdh'.swapcase() #把大写的变成小写，小写的变成大写
'Ssdh'.ljust(50,"-") #和center差不多，只是字符在左边
'Ssdh'.rjust(50,'-') #和center差不多，只是字符在右边
' \tSsdh\n'.strip() #【用的比较多】去掉左右换行符和空格,和php的trim差不多
' \tSsdh\n'.lstrip() #去掉左换行符和空格,和php的trim差不多
' \tSsdh\n'.rstrip() #去掉右换行符和空格,和php的trim差不多
'hello kudoxi kudoxi'.replace('kudoxi','katja',1)#【用的比较多】替换旧内容换成新内容,第三个参数不填就默认全部替换，第三个参数控制替换个数
'hello kudoxi'.split(' ') #【用的比较多】通过某个字符来把字符串分割成列表，和php的explode差不多
'hello kudoxi kudoxi kudoxi'.rsplit(' ',1) #从右开始，分割1次
'hello kudoxi kudoxi kudoxi'.title() #把所有首字母都大写化
|
br, bc = map(int, input().split())
dr, dc = map(int, input().split())
jr, jc = map(int, input().split())
bessie = max(abs(br - jr), abs(bc - jc))
daisy = abs(dr - jr) + abs(dc - jc)
if bessie == daisy:
print('tie')
elif bessie < daisy:
print('bessie')
else:
print('daisy')
|
######################################################################################################################
# Copyright Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at #
# #
# http://www.apache.org/licenses/LICENSE-2.0 #
# #
# or in the 'license' file accompanying this file. This file is distributed on an 'AS IS' BASIS, WITHOUT WARRANTIES #
# OR CONDITIONS OF ANY KIND, express or implied. See the License for the specific language governing permissions #
# and limitations under the License. #
######################################################################################################################
def slot_types(language):
slot_type_values = {
"English": [
{"sampleValue": {"value": "cleaning"}},
{"sampleValue": {"value": "root canal"}},
{"sampleValue": {"value": "whitening"}},
],
"French": [
{"sampleValue": {"value": "nettoyage"}},
{"sampleValue": {"value": "traitement du canal radiculaire"}},
{"sampleValue": {"value": "blanchiment"}},
],
"Italian": [
{"sampleValue": {"value": "pulizia"}},
{"sampleValue": {"value": "devitalizzazione"}},
{"sampleValue": {"value": "blanchiment"}},
],
"Spanish": [
{"sampleValue": {"value": "limpieza"}},
{"sampleValue": {"value": "endodoncia"}},
{"sampleValue": {"value": "blanqueamiento"}},
],
"German": [
{"sampleValue": {"value": "Reinigung"}},
{"sampleValue": {"value": "Wurzelbehandlung"}},
{"sampleValue": {"value": "Weißen"}},
],
"Japanese": [
{"sampleValue": {"value": "クリーニング"}},
{"sampleValue": {"value": "虫歯治療"}},
{"sampleValue": {"value": "ホワイトニング"}},
],
}
return slot_type_values[language]
def utterances(language):
utterance_values = {
"English": [
{"utterance": "I would like to book an appointment"},
{"utterance": "Book an appointment"},
{"utterance": "Book a {AppointmentType}"},
],
"French": [
{"utterance": "Je souhaiterais prendre rendez-vous"},
{"utterance": "Prendre rendez-vous"},
{"utterance": "Réserver un {AppointmentType}"},
],
"Italian": [
{"utterance": "Vorrei fissare un appuntamento"},
{"utterance": "Fissa un appuntamento"},
{"utterance": "Prenota un'operazione di {AppointmentType}"},
],
"Spanish": [
{"utterance": "Querría pedir una cita"},
{"utterance": "Reservar una cita"},
{"utterance": "Pedir cita para {AppointmentType}"},
],
"German": [
{"utterance": "Ich möchte einen Termin buchen."},
{"utterance": "Einen Termin buchen"},
{"utterance": "Einen Termin des Typs {AppointmentType} buchen"},
],
"Japanese": [
{"utterance": "歯医者を予約したい"},
{"utterance": "歯医者の予約をする"},
{"utterance": "{AppointmentType}の予約をする"},
],
}
return utterance_values[language]
def clarification_prompt(language):
prompt = {
"English": "I didn't understand you, what would you like me to do?",
"French": "Je n'ai pas bien compris votre demande, que puis-je faire pour vous?",
"Italian": "Non ho capito, cosa preferisci che faccia?",
"Spanish": "No lo entendí, ¿qué le gustaría que haga?",
"German": "Ich habe Sie nicht verstanden. Bitte sagen Sie mir, was ich für Sie tun soll.",
"Japanese": "申し訳ありません、内容を理解できませんでした。何をお手伝いできますでしょうか",
}
return prompt[language]
def confirmation_prompt(language):
confirmation_prompt_value = {
"English": {
"value": "{Time} is available, should I go ahead and book your appointment?"
},
"French": {
"value": "Je peux prendre rendez-vous à {Time}, est-ce que je peux confirmer cette horaire ?"
},
"Italian": {
"value": "L'orario {Time} è disponibile. Procedo con la prenotazione dell'appuntamento?"
},
"Spanish": {
"value": "A las {Time} están libres, ¿quieres que pida la cita para esa hora?"
},
"German": {
"value": "{Time} ist verfügbar. Soll ich den Termin für Sie buchen?"
},
"Japanese": {
"value": "{Time}は予約可能です。予約してよろしいですか"
},
}
return confirmation_prompt_value[language]
def decline_reponse(language):
decline_response_value = {
"English": {"value": "Okay, I will not schedule an appointment."},
"French": {"value": "D'accord, je ne confirmerai pas ce rendez-vous."},
"Italian": {"value": "OK. Non programmerò un appuntamento."},
"Spanish": {"value": "Vale, no pediré la cita."},
"German": {"value": "OK, ich werde keinen Termin planen."},
"Japanese": {"value": "わかりました。予約を行いませんでした。"},
}
return decline_response_value[language]
def closing_response(language):
closing_response_value = {
"English": {"value": "Done."},
"French": {"value": "Fini."},
"Italian": {"value": "Finito."},
"Spanish": {"value": "Terminado."},
"German": {"value": "Fertig."},
"Japanese": {"value": "予約が完了しました。"},
}
return closing_response_value[language]
def slot_message(language, slot_type):
slot_message_values = {
"English": {
"appointmentType": {
"value": "What type of appointment would you like to schedule?"
},
"date": {"value": "When should I schedule your appointment?"},
"time": {"value": "At what time should I schedule your appointment?"},
},
"French": {
"appointmentType": {
"value": "Quel type de rendez-vous souhaitez-vous prendre ?"
},
"date": {"value": "Quand souhaitez-vous prendre rendez-vous ?"},
"time": {"value": "À quelle heure souhaitez-vous prendre rendez-vous ?"},
},
"Italian": {
"appointmentType": {
"value": "Quale tipo di appuntamento vorresti programmare?"
},
"date": {"value": "Quando devo programmare il tuo appuntamento?"},
"time": {"value": "A che ora devo programmare il tuo appuntamento?"},
},
"Spanish": {
"appointmentType": {"value": "¿Qué tipo de cita quieres pedir?"},
"date": {"value": "¿Para cuándo quieres la cita?"},
"time": {"value": "¿Para qué hora te pido la cita?"},
},
"German": {
"appointmentType": {"value": "Welchen Typ von Termin möchten Sie planen?"},
"date": {"value": "Für welches Datum soll ich den Termin planen?"},
"time": {"value": "Für welche Uhrzeit soll ich den Termin planen?"},
},
"Japanese": {
"appointmentType": {"value": "どのような予約を行いたいですか？"},
"date": {"value": "何日に予約を入れればいいですか？"},
"time": {"value": "何時に予約を入れればいいですか？"},
},
}
return slot_message_values[language][slot_type]
|
# we write a function that computes x factorial recursively
def recursiveFactorial(x):
# we check that x is positive
if x < 0:
raise exception("factorials of non-negative numbers only")
# we check if x is either 0 or 1
if x <= 1:
# we return the asnwer 1
return 1
else:
# we recurse
return x * recursiveFactorial(x - 1) |
#!/bin/python3
def hackerrankInString(s):
find = "hackerrank"
i = 0
for c in s:
if find[i] == c:
i += 1
if i >= len(find):
return("YES")
return("NO")
if __name__ == "__main__":
q = int(input().strip())
for a0 in range(q):
s = input().strip()
result = hackerrankInString(s)
print(result)
|
filein = input('Input an email log txt file please: ')
emaillog = open(filein)
days = dict()
for x in emaillog:
if 'From ' in x:
array = x.split()
day = array[1]
day = day.split('@')
day = day[1]
days[day] = days.get(day, 0)+1
else:
continue
print(days)
# most = max(days, key=days.get)
# print(most, days[most])
|
known = {}
def binomial_coeff_memoized(n, k):
"""Uses recursion to compute the binomial coefficient "n choose k", sped up by memoization
n: number of trials
k: number of successes
returns: int
"""
breakpoint()
if k == 0:
return 1
if n == 0:
return 0
if (n, k) in known:
return known[n, k]
result = binomial_coeff_memoized(n-1, k) + binomial_coeff_memoized(n-1, k-1)
known[(n, k)] = result
return result
n = 150
k = 4
t = binomial_coeff_memoized(n, k)
print(t)
|
'''
删除字符串中出现次数最少的字符，
返回与原字符串顺序一致的删除后字符串
'''
while True:
try:
strin=input()
d=[] # d stores char counts
l=[] # l stores str after deleting
for i in strin:
d.append(strin.count(i))
m=min(d)
for i in range(len(d)):
if d[i]!=m:
l.append(strin[i])
res=''.join(map(str,l))
print(res)
except:
break
# test
# abcab |
def attack(encrypt_oracle, decrypt_oracle, iv, c, t):
"""
Uses a chosen-ciphertext attack to decrypt the ciphertext.
:param encrypt_oracle: the encryption oracle
:param decrypt_oracle: the decryption oracle
:param iv: the initialization vector
:param c: the ciphertext
:param t: the tag corresponding to the ciphertext
:return: the plaintext
"""
p_ = bytes(16) + iv + c
iv_, c_, t_ = encrypt_oracle(p_)
c__ = iv + c
p__ = decrypt_oracle(iv_, c__, c_[-32:-16])
return p__[16:]
|
# 21303 - [Job Adv] (Lv.60) Aran
sm.setSpeakerID(1203001)
sm.sendNext("*Sob sob* #p1203001# is sad. #p1203001# is mad. #p1203001# cries. *Sob sob*")
sm.setPlayerAsSpeaker()
sm.sendNext("Wh...What's wrong?")
sm.setSpeakerID(1203001)
sm.sendNext("#p1203001# made gem. #bGem as red as apple#k. But #rthief#k stole gem. #p1203001# no longer has gem. #p1203001# is sad...")
sm.setPlayerAsSpeaker()
sm.sendNext("A thief stole your red gem?")
sm.setSpeakerID(1203001)
if sm.sendAskYesNo("yes, #p1203001# wants gem back. #p1203001# reward you if you find gem. Catch thief and you get reward."):
sm.startQuest(parentID)
sm.sendNext("The thief wen that way! Which way? Hold on...eat with right hand, not left hand... #bLeft#k! He went left! Go left and you find thief.")
sm.dispose()
else:
sm.dispose() |
pkgname = "efl"
pkgver = "1.26.1"
pkgrel = 0
build_style = "meson"
configure_args = [
"-Dbuild-tests=false",
"-Dbuild-examples=false",
"-Dembedded-lz4=false",
"-Dcrypto=openssl",
"-Decore-imf-loaders-disabler=scim",
# rlottie (json) is pretty useless and unstable so keep that off
"-Devas-loaders-disabler=json",
"-Dlua-interpreter=lua",
"-Dbindings=cxx",
"-Dopengl=es-egl",
"-Dphysics=false",
"-Delua=false",
"-Dsystemd=true",
"-Dx11=true",
"-Dxpresent=true",
"-Dxinput2=true",
"-Dxinput22=true",
"-Dfb=true",
"-Dwl=true",
"-Ddrm=true",
"-Dgstreamer=true",
"-Dpulseaudio=true",
"-Dharfbuzz=true",
"-Dglib=true",
]
hostmakedepends = ["meson", "pkgconf", "gettext-tiny-devel"]
makedepends = [
"gettext-tiny-devel", "openssl-devel", "eudev-devel", "elogind-devel",
"libmount-devel", "libdrm-devel", "libinput-devel", "libxkbcommon-devel",
"mesa-devel", "wayland-protocols", "wayland-devel", "libxrandr-devel",
"libxscrnsaver-devel", "libxcomposite-devel", "libxcursor-devel",
"libxdamage-devel", "libxrender-devel", "libxext-devel", "libxtst-devel",
"libxi-devel", "libxinerama-devel", "libxpresent-devel", "xcb-util-devel",
"xcb-util-keysyms-devel", "xcb-util-image-devel", "xcb-util-wm-devel",
"xcb-util-renderutil-devel", "xorgproto", "liblz4-devel", "zlib-devel",
"fontconfig-devel", "fribidi-devel", "harfbuzz-devel", "freetype-devel",
"libjpeg-turbo-devel", "libpng-devel", "giflib-devel", "libtiff-devel",
"libwebp-devel", "openjpeg-devel", "libavif-devel", "libheif-devel",
"libpulse-devel", "libraw-devel", "librsvg-devel", "libspectre-devel",
"libpoppler-cpp-devel", "libsndfile-devel", "gstreamer-devel",
"gst-plugins-base-devel", "glib-devel", "avahi-devel", "lua5.1-devel",
"ibus-devel",
]
checkdepends = ["dbus", "xvfb-run", "check-devel"]
pkgdesc = "Enlightenment Foundation Libraries"
maintainer = "q66 <q66@chimera-linux.org>"
license = "BSD-2-Clause AND LGPL-2.1-only AND Zlib AND custom:small"
url = "https://enlightenment.org"
source = f"https://download.enlightenment.org/rel/libs/{pkgname}/{pkgname}-{pkgver}.tar.xz"
sha256 = "86a9677e3d48dd0c13a399ebb417bd417bd8d150d6b06cc491bc92275c88a642"
# xvfb-run is unpackaged for now, and would need a special do_check
options = ["!check"]
match self.profile().arch:
case "ppc64le" | "aarch64": # requires SSE3 on x86, so not there
configure_args.append("-Dnative-arch-optimization=true")
case _:
configure_args.append("-Dnative-arch-optimization=false")
if self.profile().cross:
hostmakedepends.append("efl-devel")
def post_install(self):
self.install_license("licenses/COPYING.BSD")
self.install_license("licenses/COPYING.SMALL")
self.install_license("licenses/COPYING.DNS")
# service files: maybe reimplement for dinit later
self.rm(self.destdir / "usr/lib/systemd", recursive = True)
self.rm(self.destdir / "usr/lib/ecore/system/systemd", recursive = True)
@subpackage("efl-ibus")
def _ibus(self):
self.pkgdesc = f"{pkgdesc} (IBus support)"
self.install_if = [f"{pkgname}={pkgver}-r{pkgrel}", "ibus"]
return ["usr/lib/ecore_imf/modules/ibus"]
@subpackage("efl-devel")
def _devel(self):
return self.default_devel()
|
description = 'FOV linear axis for the large box (300 x 300)'
group = 'optional'
excludes = ['fov_100x100', 'fov_190x190']
includes = ['frr']
devices = dict(
fov_300_mot = device('nicos.devices.generic.VirtualReferenceMotor',
description = 'FOV motor',
visibility = (),
abslimits = (275, 950),
userlimits = (276, 949),
refswitch = 'low',
refpos = 275,
unit = 'mm',
speed = 5,
),
# fov_300_enc = device('nicos.devices.generic.VirtualCoder',
# description = 'FOV encoder',
# motor = 'fov_300_mot',
# visibility = (),
# ),
fov_300 = device('nicos.devices.generic.Axis',
description = 'FOV linear axis',
pollinterval = 5,
maxage = 10,
precision = 0.1,
fmtstr = '%.2f',
motor = 'fov_300_mot',
# coder = 'fov_300_enc',
),
)
|
para_str = """this is a long string that is made up of
several lines and non-printable characters such as
TAB ( \t ) and they will show up that way when displayed.
NEWLINEs within the string, whether explicitly given like
this within the brackets [ \n ], or just a NEWLINE within
the variable assignment will also show up.
"""
print (para_str)
|
'''
.remove(x)
This operation removes element from the set.
If element does not exist, it raises a KeyError.
The .remove(x) operation returns None.
Example
>>> s = set([1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> s.remove(5)
>>> print s
set([1, 2, 3, 4, 6, 7, 8, 9])
>>> print s.remove(4)
None
>>> print s
set([1, 2, 3, 6, 7, 8, 9])
>>> s.remove(0)
KeyError: 0
.discard(x)
This operation also removes element from the set.
If element does not exist, it does not raise a KeyError.
The .discard(x) operation returns None.
Example
>>> s = set([1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> s.discard(5)
>>> print s
set([1, 2, 3, 4, 6, 7, 8, 9])
>>> print s.discard(4)
None
>>> print s
set([1, 2, 3, 6, 7, 8, 9])
>>> s.discard(0)
>>> print s
set([1, 2, 3, 6, 7, 8, 9])
.pop()
This operation removes and return an arbitrary element from the set.
If there are no elements to remove, it raises a KeyError.
Example
>>> s = set([1])
>>> print s.pop()
1
>>> print s
set([])
>>> print s.pop()
KeyError: pop from an empty set
Task
You have a non-empty set , and you have to execute commands given in lines.
The commands will be pop, remove and discard.
Input Format
The first line contains integer , the number of elements in the set .
The second line contains space separated elements of set . All of the elements are non-negative integers, less than or equal to 9.
The third line contains integer , the number of commands.
The next lines contains either pop, remove and/or discard commands followed by their associated value.
Output Format
Print the sum of the elements of set on a single line.
Sample Input
9
1 2 3 4 5 6 7 8 9
10
pop
remove 9
discard 9
discard 8
remove 7
pop
discard 6
remove 5
pop
discard 5
Sample Output
4
Explanation
After completing these 10 operations on the set, we get set([4]). Hence, the sum is 4.
Note: Convert the elements of set s to integers while you are assigning them. To ensure the proper input of the set, we have added the first two lines of code to the editor.
'''
n = int(input())
s = set(map(int, input().split()))
n = int(input())
for i in range(n):
a = input()
b = list(map(str, a.split()))
if b[0] == 'pop':
s.pop()
elif b[0] == 'discard':
s.discard(int(b[1]))
elif b[0] == 'remove':
try:
s.remove(int(b[1]))
except KeyError:
pass
sum = 0
for i in range(len(s)):
sum += s.pop()
print(sum) |
class Article():
def __init__(self, title, authors, link, date):
self.title = title
self.authors = authors
self.link = link
self.date = date
|
# A part of pdfrw (https://github.com/pmaupin/pdfrw)
# Copyright (C) 2006-2015 Patrick Maupin, Austin, Texas
# MIT license -- See LICENSE.txt for details
class _NotLoaded(object):
pass
class PdfIndirect(tuple):
''' A placeholder for an object that hasn't been read in yet.
The object itself is the (object number, generation number) tuple.
The attributes include information about where the object is
referenced from and the file object to retrieve the real object from.
'''
value = _NotLoaded
def real_value(self, NotLoaded=_NotLoaded):
value = self.value
if value is NotLoaded:
value = self.value = self._loader(self)
return value
|
n = int(input())
num_list = list(map(int,input().split()))
# n = 10
# num_list = [1, 5, 2, 1, 4, 3, 4, 5, 2, 1]
dp_f = [0] * (n+1)
dp_b = [0] * (n+1)
dp_f[0] = 1
dp_b[n] = 1
# 주요 아이디어:
# 11053 문제의 가장긴 증가 부분 수열을 정방향으로 구한값과 역방향으로 구한값을 각각 계산하고
# 같은 index에서 그 값을 더해주어서 정방향(증가수열) 역방향(감소수열) 의 관계를 가지도록 계산한다.
# 정방향 : 숫자가 증가하는 수열
# 역방향 : (정방향 계산의 방향을 바꾸어줌)숫자가 감소하는 수열
# -1을 해주는 이유 : 방향이 바뀌는 순간(증가->감소) 해당 값이 2번 카운팅 되므로
# forward 계산
for i in range(1,n):
for j in range(i):
if num_list[i] > num_list[j] and dp_f[i] < dp_f[j]:
dp_f[i] = dp_f[j]
dp_f[i] += 1
# backward 계산
for i in range(n-1,-1,-1):
for j in range(n-1, i,-1):
if num_list[i] > num_list[j] and dp_b[i] < dp_b[j]:
dp_b[i] = dp_b[j]
dp_b[i] += 1
# 다른 방법
# forward 방식을 num_list를 reserver를 한 후 구하고 그 결과값을 다시 뒤집는다.
# 이떄 idx 자리를 유의하여 dp_f + dp_b - 1 계산을 수행한다.
dp = list(map(lambda x,y: x + y - 1, dp_b, dp_f))
print(max(dp))
|
importe,descompte = int(input('Importe: ')),20
preudescomptat = importe*(descompte/100)
noupreu = importe-preudescomptat
print('Descompte: -'+str(descompte)+'%\nPreu: '+str(importe)+'€\nT\'estalvies: '+str(preudescomptat)+'€\nPreu Final: '+str(noupreu)+'€') |
# An irrational decimal fraction is created by concatenating the positive integers:
# 0.123456789101112131415161718192021...
# It can be seen that the 12th digit of the fractional part is 1.
# If dn represents the nth digit of the fractional part, find the value of the following expression.
# d1 × d10 × d100 × d1000 × d10000 × d100000 × d1000000
#---------------------------------------------------------------------
#quick but ugly
n = 22
number = str(123456789101112131415161718192021)
while len(number) < 1000000:
number += str(n)
n += 1
print(int(number[0]) * int(number[9]) * int(number[99]) * int(number[999]) * int(number[9999]) * int(number[99999]) * int(number[999999]) ) |
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