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468645e9619fb25182bf7c27b275edf40ec84218 | afa4ad9cefeb12f78fa7176d2c80d71cc5a76d1c | /clastic/tests/common.py | e1327a4596c8a3033fab40fdefe4c40417973191 | [
"BSD-3-Clause"
] | permissive | slaporte/clastic | 0d88fdc56570de578efcd221d1a5182be661ac97 | d7734040160ece0bf2dd6ef10770be838776056f | refs/heads/master | 2021-01-16T22:36:30.852244 | 2013-09-15T01:43:11 | 2013-09-15T01:43:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,119 | py | # -*- coding: utf-8 -*-
import clastic
from clastic import Middleware
def hello_world(name=None):
if name is None:
name = 'world'
return clastic.Response('Hello, %s!' % name)
def hello_world_str(name=None):
if name is None:
name = 'world'
return 'Hello, %s!' % name
def hello_world_html(name=None):
if name is None:
name = 'world'
return '<html><body><p>Hello, <b>%s</b>!</p></body></html>' % name
def hello_world_ctx(name=None):
if name is None:
name = 'world'
greeting = 'Hello, %s!' % name
return {'name': name,
'greeting': greeting}
def session_hello_world(session, name=None):
if name is None:
name = session.get('name') or 'world'
session['name'] = name
return 'Hello, %s!' % name
def complex_context(name=None, date=None):
from datetime import datetime
ret = hello_world_ctx(name)
if date is None:
date = datetime.utcnow()
ret['date'] = date
ret['example_middleware'] = RequestProvidesName
ret['a_lambda'] = lambda x: None
ret['true'] = True
ret['bool_vals'] = set([True, False])
ret['the_locals'] = locals()
ret['the_locals'].pop('ret')
return ret
class RequestProvidesName(Middleware):
provides = ('name',)
def __init__(self, default_name=None):
self.default_name = default_name
def request(self, next, request):
try:
ret = next(request.args.get('name', self.default_name))
except Exception as e:
print e
raise
return ret
class DummyMiddleware(Middleware):
def __init__(self, verbose=False):
self.verbose = verbose
def request(self, next, request):
name = '%s (%s)' % (self.__class__.__name__, id(self))
if self.verbose:
print name, '- handling', id(request)
try:
ret = next()
except Exception as e:
if self.verbose:
print name, '- uhoh:', repr(e)
raise
if self.verbose:
print name, '- hooray:', repr(ret)
return ret
| [
"[email protected]"
] | |
b4a0be1470e467285d734202a3faced0aa92de3a | 954ceac52dfe831ed7c2b302311a20bb92452727 | /python/tvm/relax/dpl/__init__.py | e0bbdaff05127fcefdd39e14799047773730be0e | [
"Apache-2.0",
"LLVM-exception",
"LicenseRef-scancode-unknown-license-reference",
"MIT",
"Zlib",
"Unlicense",
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | tqchen/tvm | a0e4aefe8b8dccbdbe6f760549bed6e9545ad4a1 | 678d01dd4a4e75ef6186ce356bb1a20e584a7b24 | refs/heads/main | 2023-08-10T02:21:48.092636 | 2023-02-25T18:22:10 | 2023-02-25T18:22:10 | 100,638,323 | 23 | 8 | Apache-2.0 | 2023-02-20T16:28:46 | 2017-08-17T19:30:37 | Python | UTF-8 | Python | false | false | 876 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
"""The Relax Dataflow Pattern Language."""
from .pattern import *
from .context import *
| [
"[email protected]"
] | |
57ee62c2b454803a41896a4bf9ceef507af16a53 | fa06915cb1f1d49d636ee2137889cfd66c6e55af | /metodos_confinamentos/secante.py | 18e79f85bf7e3f67cb40920e9a009f43320520b7 | [] | no_license | DarknessRdg/mat-computacional | 7ed45dd333bec52b509128e6d106efaa4a205cea | 30fd0dd144a10a91f3a11055d20ebdab72be3620 | refs/heads/main | 2023-04-03T10:27:35.510285 | 2021-04-16T04:30:38 | 2021-04-16T04:30:38 | 329,485,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 769 | py | import math
from utils import trunc
def secante(x1, x2, funcao, tolerancia):
f_x1 = 0
loop = 0
while loop == 0 or abs(f_x1) > tolerancia:
loop += 1
f_x1 = funcao(x1)
f_x2 = funcao(x2)
x3 = x2 - ((f_x2 * (x1 - x2)) / (f_x1 - f_x2))
feedback = (
'loop = {} '
'x1 = {} '
'x2 = {} '
'f(x1) = {} '
'f(x2) = {} '
'x3 = {} '
'f(x3) {} '
)
print(feedback.format(
loop, *map(trunc, (x1, x2, f_x1, f_x2, x3, funcao(x3)))
))
x1 = x2
x2 = x3
return x1
if __name__ == '__main__':
print(secante(
x1=1,
x2=2,
funcao=f,
tolerancia=10 ** -3
))
| [
"[email protected]"
] | |
0e3558e47561e850419df0c5701c93bfd1818048 | 2772f804bae2bf1dad1c9fcab435c98696465c65 | /二刷+题解/每日一题/minCameraCover.py | aba1966661634456e10dc88a4eea8520e49f8eee | [] | no_license | 1oser5/LeetCode | 75e15a2f7a1a7de1251fe5f785ad06a58b4b8889 | 40726506802d2d60028fdce206696b1df2f63ece | refs/heads/master | 2021-07-19T04:40:17.637575 | 2020-09-30T00:16:39 | 2020-09-30T00:16:39 | 211,662,258 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 987 | py | # -*- encoding: utf-8 -*-
'''
@File : minCameraCover.py
@Time : 2020/09/22 08:52:25
@Author : Xia
@Version : 1.0
@Contact : [email protected]
@License : (C)Copyright 2019-2020, HB.Company
@Desc : None
'''
# here put the import lib
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
res = 0
def minCameraCover(self, root: TreeNode) -> int:
def dfs(root):
if not root:
return 1
left, right = dfs(root.left), dfs(root.right)
if left == 0 or right == 0:
self.res += 1
return 2
if left == 1 and right == 1:
return 0
if (left + right) >= 3:
return 1
return -1
if dfs(root) == 0:
self.res += 1
return self.res
if __name__ == '__main__':
pass | [
"[email protected]"
] | |
db6ba2fc2635e56052c35ca36a819d6348f32bd3 | acd41dc7e684eb2e58b6bef2b3e86950b8064945 | /res/packages/scripts/scripts/common/Lib/ctypes/macholib/dylib.py | 55b791f15df2416f3ae4ab32269899edf999a3d8 | [] | no_license | webiumsk/WoT-0.9.18.0 | e07acd08b33bfe7c73c910f5cb2a054a58a9beea | 89979c1ad547f1a1bbb2189f5ee3b10685e9a216 | refs/heads/master | 2021-01-20T09:37:10.323406 | 2017-05-04T13:51:43 | 2017-05-04T13:51:43 | 90,268,530 | 0 | 0 | null | null | null | null | WINDOWS-1250 | Python | false | false | 2,276 | py | # 2017.05.04 15:31:20 Střední Evropa (letní čas)
# Embedded file name: scripts/common/Lib/ctypes/macholib/dylib.py
"""
Generic dylib path manipulation
"""
import re
__all__ = ['dylib_info']
DYLIB_RE = re.compile('(?x)\n(?P<location>^.*)(?:^|/)\n(?P<name>\n (?P<shortname>\\w+?)\n (?:\\.(?P<version>[^._]+))?\n (?:_(?P<suffix>[^._]+))?\n \\.dylib$\n)\n')
def dylib_info(filename):
"""
A dylib name can take one of the following four forms:
Location/Name.SomeVersion_Suffix.dylib
Location/Name.SomeVersion.dylib
Location/Name_Suffix.dylib
Location/Name.dylib
returns None if not found or a mapping equivalent to:
dict(
location='Location',
name='Name.SomeVersion_Suffix.dylib',
shortname='Name',
version='SomeVersion',
suffix='Suffix',
)
Note that SomeVersion and Suffix are optional and may be None
if not present.
"""
is_dylib = DYLIB_RE.match(filename)
if not is_dylib:
return None
else:
return is_dylib.groupdict()
def test_dylib_info():
def d(location = None, name = None, shortname = None, version = None, suffix = None):
return dict(location=location, name=name, shortname=shortname, version=version, suffix=suffix)
raise dylib_info('completely/invalid') is None or AssertionError
raise dylib_info('completely/invalide_debug') is None or AssertionError
raise dylib_info('P/Foo.dylib') == d('P', 'Foo.dylib', 'Foo') or AssertionError
raise dylib_info('P/Foo_debug.dylib') == d('P', 'Foo_debug.dylib', 'Foo', suffix='debug') or AssertionError
raise dylib_info('P/Foo.A.dylib') == d('P', 'Foo.A.dylib', 'Foo', 'A') or AssertionError
raise dylib_info('P/Foo_debug.A.dylib') == d('P', 'Foo_debug.A.dylib', 'Foo_debug', 'A') or AssertionError
raise dylib_info('P/Foo.A_debug.dylib') == d('P', 'Foo.A_debug.dylib', 'Foo', 'A', 'debug') or AssertionError
return
if __name__ == '__main__':
test_dylib_info()
# okay decompyling C:\Users\PC\wotmods\files\originals\res\packages\scripts\scripts\common\Lib\ctypes\macholib\dylib.pyc
# decompiled 1 files: 1 okay, 0 failed, 0 verify failed
# 2017.05.04 15:31:20 Střední Evropa (letní čas)
| [
"[email protected]"
] | |
0eb91115050dd84862b4b5adc45e51414a098dc9 | 5faa3f139f30c0d290e327e04e3fd96d61e2aabb | /mininet-wifi/SIGCOMM-2016/hybridVirtualPhysical.py | a318efac432e79db502409c7800249359668848f | [] | no_license | hongyunnchen/reproducible-research | c6dfc3cd3c186b27ab4cf25949470b48d769325a | ed3a7a01b84ebc9bea96c5b02e0c97705cc2f7c6 | refs/heads/master | 2021-05-07T08:24:09.586976 | 2017-10-31T13:08:05 | 2017-10-31T13:08:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,853 | py | #!/usr/bin/python
"""Code created to be presented with the paper titled:
"Rich Experimentation through Hybrid Physical-Virtual Software-Defined Wireless Networking Emulation"
authors: Ramon dos Reis Fontes and Christian Esteve Rothenberg"""
"""Topology
(2)ap2(3)
/ \
(3) (2)
wlan1(2)phyap1 ap3(4)wlan0
(4) (3)
\ /
(3)ap4(2) """
from mininet.net import Mininet
from mininet.node import RemoteController, OVSKernelSwitch, UserAP, Controller
from mininet.link import TCLink
from mininet.cli import CLI
from mininet.node import Node
from mininet.log import setLogLevel
import os
import time
def topology():
"Create a network."
net = Mininet( controller=RemoteController, link=TCLink, accessPoint=UserAP )
staList = []
internetIface = 'eth0'
usbDongleIface = 'wlan11'
print "*** Creating nodes"
for n in range(10):
staList.append(n)
staList[n] = net.addStation( 'sta%s' % (n+1), wlans=2, mac='00:00:00:00:00:%s' % (n+1), ip='192.168.0.%s/24' % (n+1) )
phyap1 = net.addPhysicalBaseStation( 'phyap1', protocols='OpenFlow13', ssid='Sigcomm-2016-Mininet-WiFi', mode= 'g', channel= '1', position='50,115,0', phywlan=usbDongleIface )
ap2 = net.addAccessPoint( 'ap2', protocols='OpenFlow13', ssid='ap-ssid2', mode= 'g', channel= '11', position='100,175,0' )
ap3 = net.addAccessPoint( 'ap3', protocols='OpenFlow13', ssid='ap-ssid3', mode= 'g', channel= '6', position='150,115,0' )
ap4 = net.addAccessPoint( 'ap4', protocols='OpenFlow13', ssid='ap-ssid4', mode= 'g', channel= '11', position='100,55,0' )
c5 = net.addController( 'c5', controller=RemoteController, port=6653 )
sta11 = net.addStation( 'sta11', ip='10.0.0.111/8', position='60,100,0')
h12 = net.addHost( 'h12', ip='10.0.0.109/8')
root = net.addHost( 'root', ip='10.0.0.254/8', inNamespace=False )
print "*** Configuring wifi nodes"
net.configureWifiNodes()
print "*** Creating links"
for sta in staList:
net.addMesh(sta, ssid='meshNet')
"""uncomment to plot graph"""
net.plotGraph(max_x=240, max_y=240)
"""Routing"""
net.meshRouting('custom')
"""Seed"""
net.seed(20)
print "*** Associating and Creating links"
net.addLink(phyap1, ap2)
net.addLink(ap2, ap3)
net.addLink(sta11, ap2)
net.addLink(ap3, ap4)
net.addLink(ap4, phyap1)
net.addLink(root, ap3)
net.addLink(phyap1, h12)
print "*** Starting network"
net.build()
c5.start()
phyap1.start( [c5] )
ap2.start( [c5] )
ap3.start( [c5] )
ap4.start( [c5] )
time.sleep(2)
"""output=all,flood"""
ap3.cmd('dpctl unix:/tmp/ap3 meter-mod cmd=add,flags=1,meter=1 drop:rate=100')
ap3.cmd('dpctl unix:/tmp/ap3 flow-mod table=0,cmd=add in_port=4,eth_type=0x800,ip_dst=10.0.0.100,meter:1 apply:output=flood')
phyap1.cmd('dpctl unix:/tmp/phyap1 flow-mod table=0,cmd=add in_port=2,ip_dst=10.0.0.109,eth_type=0x800,ip_proto=6,tcp_dst=80 apply:set_field=tcp_dst:80,set_field=ip_dst:10.0.0.111,output=5')
phyap1.cmd('dpctl unix:/tmp/phyap1 flow-mod table=0,cmd=add in_port=1,eth_type=0x800,ip_proto=6,tcp_src=80 apply:set_field=ip_src:10.0.0.109,output=2')
fixNetworkManager( root, 'root-eth0' )
startNAT(root, internetIface)
sta11.cmd('ip route add default via 10.0.0.254')
sta11.cmd('pushd /home/fontes; python3 -m http.server 80 &')
ip = 201
for sta in staList:
sta.setIP('10.0.0.%s/8' % ip, intf="%s-wlan1" % sta)
sta.cmd('ip route add default via 10.0.0.254')
ip+=1
"*** Available models: RandomWalk, TruncatedLevyWalk, RandomDirection, RandomWayPoint, GaussMarkov, ReferencePoint, TimeVariantCommunity ***"
net.startMobility(startTime=0, model='RandomWalk', max_x=200, max_y=200, min_v=0.1, max_v=0.2)
print "*** Running CLI"
CLI( net )
print "*** Stopping network"
net.stop()
def startNAT( root, inetIntf, subnet='10.0/8', localIntf = None ):
"""Start NAT/forwarding between Mininet and external network
root: node to access iptables from
inetIntf: interface for internet access
subnet: Mininet subnet (default 10.0/8)"""
# Identify the interface connecting to the mininet network
if localIntf == None:
localIntf = root.defaultIntf()
# Flush any currently active rules
root.cmd( 'iptables -F' )
root.cmd( 'iptables -t nat -F' )
# Create default entries for unmatched traffic
root.cmd( 'iptables -P INPUT ACCEPT' )
root.cmd( 'iptables -P OUTPUT ACCEPT' )
root.cmd( 'iptables -P FORWARD DROP' )
# Configure NAT
root.cmd( 'iptables -I FORWARD -i', localIntf, '-d', subnet, '-j DROP' )
root.cmd( 'iptables -A FORWARD -i', localIntf, '-s', subnet, '-j ACCEPT' )
root.cmd( 'iptables -A FORWARD -i', inetIntf, '-d', subnet, '-j ACCEPT' )
root.cmd( 'iptables -t nat -A POSTROUTING -o ', inetIntf, '-j MASQUERADE' )
# Instruct the kernel to perform forwarding
root.cmd( 'sysctl net.ipv4.ip_forward=1' )
def fixNetworkManager( root, intf ):
"""Prevent network-manager from messing with our interface,
by specifying manual configuration in /etc/network/interfaces
root: a node in the root namespace (for running commands)
intf: interface name"""
cfile = '/etc/network/interfaces'
line = '\niface %s inet manual\n' % intf
config = open( cfile ).read()
if ( line ) not in config:
print '*** Adding', line.strip(), 'to', cfile
with open( cfile, 'a' ) as f:
f.write( line )
# Probably need to restart network-manager to be safe -
# hopefully this won't disconnect you
root.cmd( 'service network-manager restart' )
if __name__ == '__main__':
setLogLevel( 'info' )
topology()
| [
"[email protected]"
] | |
21d3f37f0ebe4ec592d700a1d4acdf2080efe131 | c77a40408bc40dc88c466c99ab0f3522e6897b6a | /Programming_basics/Exercise_6/PasswordGenerator.py | d16198682725a9db48d9d7f698aaecd4211c4375 | [] | no_license | vbukovska/SoftUni | 3fe566d8e9959d390a61a4845381831929f7d6a3 | 9efd0101ae496290313a7d3b9773fd5111c5c9df | refs/heads/main | 2023-03-09T17:47:20.642393 | 2020-12-12T22:14:27 | 2021-02-16T22:14:37 | 328,805,705 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 323 | py | num = int(input())
let = int(input())
for i_1 in range(1, num+1):
for i_2 in range(1, num+1):
for i_3 in range(97, 97+let):
for i_4 in range(97, 97+let):
for i_5 in range(max(i_1, i_2)+1, num+1):
print(f'{str(i_1)+str(i_2)+chr(i_3)+chr(i_4)+str(i_5)}', end=' ')
| [
"[email protected]"
] | |
6d63bfb92c5a72e38f2a7c3c8ebbe32b7e9ad516 | 457e2f5b2a26877df739e314ec1560e8a3ecfb97 | /controllerMaker/controllerMaker.py | 80cee9d6f2d79933805ee707da01d112e70e8ee8 | [] | no_license | mappp7/tools | f6685d9a682bd540d59c1bff0cebb60f79fd6556 | c537e7648112c51ba4f44225418e773ee6b8be6c | refs/heads/master | 2021-01-14T16:40:44.450790 | 2020-10-30T05:30:27 | 2020-10-30T05:30:27 | 242,682,763 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 32,757 | py | #encoding=utf-8
#!/usr/bin/env python
#-------------------------------------------------------------------------------
#
# Dexter Rigging Team
#
# yunhyuk.jung
#
# 2017.11.21 ver.1.2.3
#-------------------------------------------------------------------------------
import os
import site
import maya.cmds as cmds
import maya.OpenMayaUI as omui
import maya.mel as mel
import json
# add sysPath
#site.addsitedir('/dexter/Cache_DATA/CRT/RiggingRnD/baseRig/')
import xml.etree.ElementTree as xml
from cStringIO import StringIO
from Qt import QtGui, QtCore, QtWidgets, load_ui
from Qt.QtGui import *
from Qt.QtCore import *
from Qt.QtWidgets import *
from baseRigUtil.undoCommand import undo
from baseRigUtil.homeNul import*
# ui Path Setting
basePath = os.path.abspath( __file__ + '/../' )
print basePath
uiFile = os.path.join( basePath, 'controllerMaker.ui' )
print uiFile
def maya_main_window():
'''
Return the Maya main window widget as a Python object
'''
main_window_ptr = omui.MQtbaseRig.util.mainWindow()
return wrapInstance(long(main_window_ptr), QtGui.QWidget)
class uiMainWindow( QtWidgets.QMainWindow ):
def __init__(self, parent=None):
super(uiMainWindow, self).__init__(parent)
self.ui = load_ui(uiFile)
self.ButtonConnection()
self.makerIcon()
self.temp_CON = []
self.mayaFolder = cmds.workspace(q=True, dir=True)
if self.mayaFolder:
self.ui.expConPath_LIE.setText( self.mayaFolder )
# buttonAction def Group
def ButtonConnection(self):
self.ui.Shape_Replace_BTN.clicked.connect(self.shapeReplace)
self.ui.Do_Resize_BTN.clicked.connect(self.controllerResize)
self.ui.FK_Control_Maker_BTN.clicked.connect(self.FKcontrolMaker)
self.ui.homeNull_BTN.clicked.connect(self.homeNull)
self.ui.mirrorCon_X_BTN.clicked.connect(self.mirrorControl)
self.ui.mirrorCon_Y_BTN.clicked.connect(self.mirrorControl)
self.ui.mirrorCon_Z_BTN.clicked.connect(self.mirrorControl)
self.ui.rotateCon_X_BTN.clicked.connect(self.rotateControl)
self.ui.rotateCon_Y_BTN.clicked.connect(self.rotateControl)
self.ui.rotateCon_Z_BTN.clicked.connect(self.rotateControl)
self.ui.curveClear_BTN.clicked.connect(self.curveClear)
self.ui.expConPath_BTN.clicked.connect(self.setMayaFolder)
self.ui.exportCON_BTN.clicked.connect(self.exportCON_JSON)
self.ui.importCON_BTN.clicked.connect(self.importCON_JSON)
self.ui.reset_BTN.clicked.connect(self.resetBTN_cmd)
self.ui.multiSel_BTN.clicked.connect(self.multiSelhierarchy)
self.ui.chainParent_BTN.clicked.connect(self.chainParents)
self.ui.crvConnect_BTN.clicked.connect(self.crvConnect)
for i in range(1,33):
eval( "self.ui.color_%s_BTN.clicked.connect(self.overrideColor)" %i )
for i in range(1,29):
self.con_Make = '%0*d' % ( 2, i )
eval( "self.ui.conMake_%s_BTN.clicked.connect(self.controllerMake)" %self.con_Make )
def makerIcon(self):
setIconPath = 'C:/tools/tools/controllerMaker/icon/'
self.ui.conMake_01_BTN.setIcon(QtGui.QIcon('%sbox.jpg' %setIconPath))
self.ui.conMake_02_BTN.setIcon(QtGui.QIcon('%scircle.jpg' %setIconPath))
self.ui.conMake_03_BTN.setIcon(QtGui.QIcon('%svolumeCircle.jpg' %setIconPath))
self.ui.conMake_04_BTN.setIcon(QtGui.QIcon('%scross.jpg' %setIconPath))
self.ui.conMake_05_BTN.setIcon(QtGui.QIcon('%sfatCross.jpg' %setIconPath))
self.ui.conMake_06_BTN.setIcon(QtGui.QIcon('%slocator.jpg' %setIconPath))
self.ui.conMake_07_BTN.setIcon(QtGui.QIcon('%ssphere.jpg' %setIconPath))
self.ui.conMake_08_BTN.setIcon(QtGui.QIcon('%soctagon.jpg' %setIconPath))
self.ui.conMake_09_BTN.setIcon(QtGui.QIcon('%svolumeOctagon.jpg' %setIconPath))
self.ui.conMake_10_BTN.setIcon(QtGui.QIcon('%srombus.jpg' %setIconPath))
self.ui.conMake_11_BTN.setIcon(QtGui.QIcon('%sroot.jpg' %setIconPath))
self.ui.conMake_12_BTN.setIcon(QtGui.QIcon('%shexagon.jpg' %setIconPath))
self.ui.conMake_13_BTN.setIcon(QtGui.QIcon('%ssquare.jpg' %setIconPath))
self.ui.conMake_14_BTN.setIcon(QtGui.QIcon('%spyramid.jpg' %setIconPath))
self.ui.conMake_15_BTN.setIcon(QtGui.QIcon('%sboxPin.jpg' %setIconPath))
self.ui.conMake_16_BTN.setIcon(QtGui.QIcon('%spin.jpg' %setIconPath))
self.ui.conMake_17_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_18_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_19_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_20_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_21_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_22_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_23_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_24_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_25_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_26_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_27_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
self.ui.conMake_28_BTN.setIcon(QtGui.QIcon('%snone.jpg' %setIconPath))
#self.ui.homeNull_BTN.setIcon(QtGui.QIcon('%shomeNull.jpg' %setIconPath))
def overrideColor(self):
buttonHandle = self.sender()
btn = buttonHandle.objectName()
btn_number = btn.split('_')
sel_name = cmds.ls(sl=True)
for i in sel_name:
if self.ui.viewPort_CKB.isChecked() == True:
try:
if cmds.listRelatives( i, s=True )[0] != None:
sel_Shape = cmds.listRelatives( i, s=True )[0]
cmds.setAttr("%s.overrideEnabled" %sel_Shape, 1)
cmds.setAttr("%s.overrideColor" %sel_Shape, int(btn_number[1])-1)
except:
cmds.setAttr("%s.overrideEnabled" %i, 1)
cmds.setAttr("%s.overrideColor" %i, int(btn_number[1])-1)
if self.ui.outLiner_CKB.isChecked() == True:
cmds.setAttr('%s.useOutlinerColor' %i, 1)
self.outLinerCC(i,btn_number[1])
def outLinerCC(self,obj,number):
cc_list = {1:[0.3515, 0.3515, 0.3515],
2:[0,0,0],
3:[0.0497, 0.0497, 0.0497],
4:[0.2122, 0.2122, 0.2122],
5:[0.602, 0, 0.039],
6:[0, 0.005, 0.458],
7:[0, 0.284, 1.000],
8:[0, 0.447, 0.067],
9:[0.165, 0, 0.503],
10:[0.812, 0, 0.812],
11:[0.674, 0.170, 0.089],
12:[0.503, 0.166, 0.143],
13:[0.702, 0.041, 0],
14:[1.0000, 0, 0],
15:[0, 1.0000, 0],
16:[0, 0.198, 0.906],
17:[1.0000, 1.0000, 1.0000],
18:[1.0000, 1.0000, 0],
19:[0.1022, 0.7157, 1.0000],
20:[0.0561, 1.0000, 0.3613],
21:[1.0000, 0.4286, 0.4286],
22:[0.923, 0.495, 0.230],
23:[1.0000, 1.0000, 0.1221],
24:[0, 0.685, 0.186],
25:[0.715, 0.443, 0.0],
26:[0.677, 0.696, 0.058],
27:[0.274, 0.696, 0.058],
28:[0.047, 0.552, 0.171],
29:[0.060, 0.713, 0.713],
30:[0.074, 0.341, 0.884],
31:[0.477, 0.151, 0.851],
32:[0.895, 0.074, 0.355],
}
cmds.setAttr('%s.outlinerColor' %obj ,cc_list[int(number)][0],cc_list[int(number)][1],cc_list[int(number)][2] )
def resetBTN_cmd(self):
sel_name = cmds.ls(sl=True)
for i in sel_name:
if self.ui.viewPort_CKB.isChecked() == True:
try:
sel_Shape = cmds.listRelatives( i, s=True )[0]
cmds.setAttr("%s.overrideEnabled" %sel_Shape, 0)
except:
cmds.setAttr("%s.overrideEnabled" %i, 0)
if self.ui.outLiner_CKB.isChecked() == True:
cmds.setAttr('%s.useOutlinerColor' %i, 0)
def shapeReplace(self):
sel = cmds.ls(sl=True)
sel0_shape = cmds.listRelatives( sel[0], s=True )[0]
sel1_shape = cmds.listRelatives( sel[1], s=True )[0]
cmds.parent( sel0_shape , sel[1], r=True, s=True)
cmds.delete(sel[0])
cmds.delete(sel1_shape)
cmds.rename(sel0_shape , "%sShape" %sel[1])
@undo
def FKcontrolMaker(self):
sel = cmds.ls(sl=True)
fkController = list()
fkNullGroup = list()
for i in sel:
jointName = i
if len(self.temp_CON) == 1:
Control = cmds.duplicate(self.temp_CON, n= jointName.replace(jointName.split('_')[-1],'ctl'))
else:
Control = cmds.circle(nr=(1,0,0),c=(0,0,0),r=1, n= jointName.replace(jointName.split('_')[-1],'ctl'))
cmds.DeleteHistory(Control[0])
cmds.setAttr("%sShape.overrideEnabled" %Control[0], 1)
cmds.setAttr("%sShape.overrideColor" %Control[0], 17)
cmds.DeleteHistory(Control[0])
cmds.group( Control[0] )
nullGroup = (cmds.rename(jointName.replace(jointName.split('_')[-1],'ctl_G')))
fkController.append("%s" %Control[0])
fkNullGroup.append("%s" %nullGroup)
cmds.delete(cmds.parentConstraint(jointName,nullGroup, w=True))
for x in range(len(sel)-1):
q = -1-x
k = -2-x
cmds.parent(fkNullGroup[q], fkController[k])
for y in range(len(sel)):
cmds.parentConstraint(fkController[y], sel[y], mo=1 , w=1)
def homeNull(self):
sel = cmds.ls(sl=True)
for i in sel:
if 'ctl' in i:
homeNul( i )
else:
homeNul( i , i+'_ctl_G' )
def crvConnect(self):
sel = cmds.ls(sl=True)
startName = sel[0]
endName = sel[1]
curveName = cmds.curve( d=1, p=[(0,0,0),(0,0,0)], name = startName.replace( startName.split('_')[-1], 'CRV' ) )
curveShape = cmds.listRelatives( curveName, s=True )[0]
curveShapeName = cmds.rename( curveShape, '%sShape' % curveName )
cvNum = cmds.getAttr( '%s.spans' % curveShapeName ) + cmds.getAttr( '%s.degree' % curveShapeName )
MMX_list = []
DCM_list = []
for x in range( cvNum ):
# Create Node
MMX = cmds.createNode( 'multMatrix', n=startName.replace( '_%s' % startName.split('_')[-1], '%s_MMX' % (x+1) ) )
MMX_list.append(MMX)
DCM = cmds.createNode( 'decomposeMatrix', n=startName.replace( '_%s' % startName.split('_')[-1], '%s_DCM' % (x+1) ) )
DCM_list.append(DCM)
# Connection Node
cmds.connectAttr( '%s.worldMatrix[0]' % startName, '%s.matrixIn[0]' % MMX_list[0] )
cmds.connectAttr( '%s.matrixSum' % MMX_list[0], '%s.inputMatrix' % DCM_list[0] )
cmds.connectAttr( '%s.worldInverseMatrix[0]' % curveName, '%s.matrixIn[1]' % MMX_list[0] )
cmds.connectAttr( '%s.outputTranslate' % DCM_list[0], '%s.controlPoints[0]' % curveShapeName )
cmds.connectAttr( '%s.worldMatrix[0]' % endName, '%s.matrixIn[0]' % MMX_list[1] )
cmds.connectAttr( '%s.matrixSum' % MMX_list[1], '%s.inputMatrix' % DCM_list[1] )
cmds.connectAttr( '%s.worldInverseMatrix[0]' % curveName, '%s.matrixIn[1]' % MMX_list[1] )
cmds.connectAttr( '%s.outputTranslate' % DCM_list[1], '%s.controlPoints[1]' % curveShapeName )
def chainParents(self):
sel = cmds.ls(sl=True)
for x in range(len(sel)-1):
cmds.parent(sel[x], sel[x+1])
def multiSelhierarchy(self):
sel = cmds.ls(sl=True)
for i in sel:
cmds.select("%s" %i, hierarchy=True, add=True )
@undo
def controllerResize(self):
number = float(self.ui.Do_Resize_DSB.text())
XYZ = ["X","Y","Z"]
sel = cmds.ls(sl=True)
for x in sel:
curveName = x
curveShape = cmds.listRelatives( curveName, s=True )[0]
cvNum = cmds.getAttr( '%s.spans' % curveShape ) + cmds.getAttr( '%s.degree' % curveShape )
conPivot = cmds.xform("%s" %curveName, q=True, ws=True, rp=True)
cmds.select( "%s.cv[0:%s]" %(curveName,cvNum))
cluster = cmds.cluster()
cmds.move( conPivot[0], conPivot[1], conPivot[2], "%s.scalePivot" %cluster[1] , "%s.rotatePivot" %cluster[1],absolute=True)
if number > 0:
for i in XYZ:
cmds.setAttr( "%s.scale%s" %(cluster[1],i), number)
else:
nagative_number = 1 - number*(-0.1)
for i in XYZ:
cmds.setAttr( "%s.scale%s" %(cluster[1],i), nagative_number)
cmds.DeleteHistory(cmds.select( sel ))
@undo
def mirrorControl(self):
self.mirrorJointList=[]
self.mirrorJointList_add=[]
self.parentGroupList=[]
sel_re = []
sel=cmds.ls(sl=True)
for k in sel:
tempParentGroupList = cmds.listRelatives( k, allParents=True )
self.parentGroupList.append(tempParentGroupList)
for i in sel:
cmds.select(cl=True)
cmds.select(i ,r=True)
tempMirrorJoint = cmds.joint(n='%s_temp_JNT' %i )
cmds.parent(tempMirrorJoint , w=True)
cmds.parent(i , tempMirrorJoint)
self.mirrorJointList.append(tempMirrorJoint)
# 미러조인트 방법이랑 방향 가져와서 세팅
buttonXYZ = self.sender()
btn = buttonXYZ.objectName()
btn_XYZ = btn.split('_')
for i in self.mirrorJointList:
if self.ui.mirrorCON_world_RDB.isChecked() == True:
if btn_XYZ[1] == 'X':
tempMirrorJoint2 = cmds.mirrorJoint(i , mxy = True , mirrorBehavior=False , searchReplace=('L_', 'R_'))
self.mirrorJointList_add.append(tempMirrorJoint2[0])
elif btn_XYZ[1] == 'Y':
tempMirrorJoint2 = cmds.mirrorJoint(i , myz = True , mirrorBehavior=False , searchReplace=('L_', 'R_'))
self.mirrorJointList_add.append(tempMirrorJoint2[0])
elif btn_XYZ[1] == 'Z':
tempMirrorJoint2 = cmds.mirrorJoint(i , mxz = True , mirrorBehavior=False , searchReplace=('L_', 'R_'))
self.mirrorJointList_add.append(tempMirrorJoint2[0])
if self.ui.mirrorCON_behavior_RDB.isChecked() == True:
if btn_XYZ[1] == 'X':
tempMirrorJoint2 = cmds.mirrorJoint(i , mxy = True , mirrorBehavior=True , searchReplace=('L_', 'R_'))
self.mirrorJointList_add.append(tempMirrorJoint2[0])
elif btn_XYZ[1] == 'Y':
tempMirrorJoint2 = cmds.mirrorJoint(i , myz = True , mirrorBehavior=True , searchReplace=('L_', 'R_'))
self.mirrorJointList_add.append(tempMirrorJoint2[0])
elif btn_XYZ[1] == 'Z':
tempMirrorJoint2 = cmds.mirrorJoint(i , mxz = True , mirrorBehavior=True , searchReplace=('L_', 'R_'))
self.mirrorJointList_add.append(tempMirrorJoint2[0])
cmds.ungroup(self.mirrorJointList_add)
cmds.ungroup(self.mirrorJointList)
def rotateControl(self):
buttonXYZ = self.sender()
btn = buttonXYZ.objectName()
btn_XYZ = btn.split('_')
sel = cmds.ls(sl=True)
for i in sel:
curveName = i
curveShape = cmds.listRelatives( curveName, s=True )[0]
cvNum = cmds.getAttr( '%s.spans' % curveShape ) + cmds.getAttr( '%s.degree' % curveShape )
cmds.select( "%s.cv[0:%s]" %(curveName,cvNum))
if btn_XYZ[1] == 'X':
cmds.rotate(90,0,0,r=True,os =True)
elif btn_XYZ[1] == 'Y':
cmds.rotate(0,90,0,r=True,os =True)
elif btn_XYZ[1] == 'Z':
cmds.rotate(0,0,90,r=True,os =True)
cmds.select(cl=True)
for i in sel:
cmds.select(i,tgl=True)
def controllerMake(self):
temp_sel = cmds.ls(sl=True)
buttonHandle = self.sender()
btn = buttonHandle.objectName()
btn_number = btn.split('_')
n = btn_number[1]
if len(temp_sel) >= 1:
for i in range(len(temp_sel)):
self.chooseConShape(n)
selMakeCON = cmds.ls(sl=True)
cmds.delete(cmds.parentConstraint(temp_sel[i],selMakeCON,mo=0,w=1))
cmds.rename('%s_ctl' %temp_sel[i])
self.homeNull()
else:
self.chooseConShape(n)
#selMakeCON = cmds.ls(sl=True)
self.homeNull()
def chooseConShape(self,number):
# box
n = number
if n == '01':
mel.eval('curve -d 1 -p 0.5 0.5 0.5 -p 0.5 0.5 -0.5 -p -0.5 0.5 -0.5 -p -0.5 -0.5 -0.5 -p 0.5 -0.5 -0.5 -p 0.5 0.5 -0.5 -p -0.5 0.5 -0.5 -p -0.5 0.5 0.5 -p 0.5 0.5 0.5 -p 0.5 -0.5 0.5 -p 0.5 -0.5 -0.5 -p -0.5 -0.5 -0.5 -p -0.5 -0.5 0.5 -p 0.5 -0.5 0.5 -p -0.5 -0.5 0.5 -p -0.5 0.5 0.5 -k 0 -k 1 -k 2 -k 3 -k 4 -k 5 -k 6 -k 7 -k 8 -k 9 -k 10 -k 11 -k 12 -k 13 -k 14 -k 15;')
self.CON_name = 'box'
# circle
elif n == '02':
mel.eval('circle -c 0 0 0 -nr 0 1 0 -sw 360 -r 0.5 -d 3 -ut 0 -tol 0.01 -s 8 -ch 0')
self.CON_name = 'circle'
# volume circle
elif n == '03':
mel.eval('curve -d 1 -p -0.504004 -0.0167178 -1.8995e-06 -p -0.486389 -0.0167178 0.130304 -p -0.436069 -0.0167178 0.251787 -p -0.356385 -0.0167178 0.356383 -p -0.251789 -0.0167178 0.436067 -p -0.130306 -0.0167178 0.486387 -p 0 -0.0167178 0.504002 -p 0.130306 -0.0167178 0.486387 -p 0.251789 -0.0167178 0.436067 -p 0.356385 -0.0167178 0.356383 -p 0.436069 -0.0167178 0.251787 -p 0.486389 -0.0167178 0.130304 -p 0.504004 -0.0167178 -1.8995e-06 -p 0.486389 -0.0167178 -0.130308 -p 0.436069 -0.0167178 -0.251791 -p 0.356385 -0.0167178 -0.356387 -p 0.251789 -0.0167178 -0.436071 -p 0.130306 -0.0167178 -0.486392 -p 0 -0.0167178 -0.504002 -p -0.130306 -0.0167178 -0.486392 -p -0.251789 -0.0167178 -0.436071 -p -0.356385 -0.0167178 -0.356387 -p -0.436069 -0.0167178 -0.251791 -p -0.486389 -0.0167178 -0.130308 -p -0.504004 -0.0167178 -1.8995e-06 -p -0.504004 0.0167178 -1.8995e-06 -p -0.486389 0.0167178 0.130304 -p -0.436069 0.0167178 0.251787 -p -0.356385 0.0167178 0.356383 -p -0.251789 0.0167178 0.436067 -p -0.130306 0.0167178 0.486387 -p 0 0.0167178 0.504002 -p 0 -0.0167178 0.504002 -p 0 0.0167178 0.504002 -p 0.130306 0.0167178 0.486387 -p 0.251789 0.0167178 0.436067 -p 0.356385 0.0167178 0.356383 -p 0.436069 0.0167178 0.251787 -p 0.486389 0.0167178 0.130304 -p 0.504004 0.0167178 -1.8995e-06 -p 0.504004 -0.0167178 -1.8995e-06 -p 0.504004 0.0167178 -1.8995e-06 -p 0.486389 0.0167178 -0.130308 -p 0.436069 0.0167178 -0.251791 -p 0.356385 0.0167178 -0.356387 -p 0.251789 0.0167178 -0.436071 -p 0.130306 0.0167178 -0.486392 -p 0 0.0167178 -0.504002 -p 0 -0.0167178 -0.504002 -p 0 0.0167178 -0.504002 -p -0.130306 0.0167178 -0.486392 -p -0.251789 0.0167178 -0.436071 -p -0.356385 0.0167178 -0.356387 -p -0.436069 0.0167178 -0.251791 -p -0.486389 0.0167178 -0.130308 -p -0.504004 0.0167178 -1.8995e-06 -p -0.504004 -0.0167178 -1.8995e-06 -p -0.504004 0.0167178 -1.8995e-06;')
self.CON_name = 'volume circle '
# cross
elif n == '04':
mel.eval('curve -d 1 -p 0.165 0 0.495 -p 0.165 0 0.165 -p 0.495 0 0.165 -p 0.495 0 -0.165 -p 0.165 0 -0.165 -p 0.165 0 -0.495 -p -0.165 0 -0.495 -p -0.165 0 -0.165 -p -0.495 0 -0.165 -p -0.495 0 0.165 -p -0.165 0 0.165 -p -0.165 0 0.495 -p 0.165 0 0.495;')
self.CON_name = 'cross'
# fat cross
elif n == '05':
mel.eval('curve -d 1 -p 0.25 0 0.5 -p 0.25 0 0.25 -p 0.5 0 0.25 -p 0.5 0 -0.25 -p 0.25 0 -0.25 -p 0.25 0 -0.5 -p -0.25 0 -0.5 -p -0.25 0 -0.25 -p -0.5 0 -0.25 -p -0.5 0 0.25 -p -0.25 0 0.25 -p -0.25 0 0.5 -p 0.25 0 0.5;')
self.CON_name = 'fat cross'
# locator
elif n == '06':
mel.eval('curve -d 1 -p 0 0 0 -p 0.5 0 0 -p -0.5 0 0 -p 0 0 0 -p 0 0 0.5 -p 0 0 -0.5 -p 0 0 0 -p 0 -0.5 0 -p 0 0.5 0 -k 0 -k 1 -k 2 -k 3 -k 4 -k 5 -k 6 -k 7 -k 8;')
self.CON_name = 'locator'
# sphere
elif n == '07':
mel.eval('curve -d 1 -p 0 0 0.5 -p 0.353554 0 0.353554 -p 0.5 0 0 -p 0.353554 0 -0.353554 -p 0 0 -0.5 -p -0.353554 0 -0.353554 -p -0.5 0 0 -p -0.353554 0 0.353554 -p 0 0 0.5 -p 0 0.25 0.433013 -p 0 0.433013 0.25 -p 0 0.5 0 -p 0 0.433013 -0.25 -p 0 0.25 -0.433013 -p 0 0 -0.5 -p 0 -0.25 -0.433013 -p 0 -0.433013 -0.25 -p 0 -0.5 0 -p 0 -0.433013 0.25 -p 0 -0.25 0.433013 -p 0 0 0.5 -p 0.353554 0 0.353554 -p 0.5 0 0 -p 0.433013 0.25 0 -p 0.25 0.433013 0 -p 0 0.5 0 -p -0.25 0.433013 0 -p -0.433013 0.25 0 -p -0.5 0 0 -p -0.433013 -0.25 0 -p -0.25 -0.433013 0 -p 0 -0.5 0 -p 0.25 -0.433013 0 -p 0.433013 -0.25 0 -p 0.5 0 0;')
self.CON_name = 'sphere'
# octagon
elif n == '08':
mel.eval('curve -d 1 -p 0.246168 0 0.492335 -p 0.492335 0 0.246168 -p 0.492335 0 -0.246168 -p 0.246168 0 -0.492335 -p -0.246168 0 -0.492335 -p -0.492335 0 -0.246168 -p -0.492335 0 0.246168 -p -0.246168 0 0.492335 -p 0.246168 0 0.492335;')
self.CON_name ='octagon'
# volume octagon
elif n == '09':
mel.eval('curve -d 1 -p 0.246503 -0.044 0.493007 -p 0.493007 -0.044 0.246503 -p 0.493007 -0.044 -0.246503 -p 0.246503 -0.044 -0.493007 -p -0.246503 -0.044 -0.493007 -p -0.493007 -0.044 -0.246503 -p -0.493007 -0.044 0.246503 -p -0.246503 -0.044 0.493007 -p 0.246503 -0.044 0.493007 -p 0.246503 0.044 0.493007 -p 0.493007 0.044 0.246503 -p 0.493007 -0.044 0.246503 -p 0.493007 0.044 0.246503 -p 0.493007 0.044 -0.246503 -p 0.493007 -0.044 -0.246503 -p 0.493007 0.044 -0.246503 -p 0.246503 0.044 -0.493007 -p 0.246503 -0.044 -0.493007 -p 0.246503 0.044 -0.493007 -p -0.246503 0.044 -0.493007 -p -0.246503 -0.044 -0.493007 -p -0.246503 0.044 -0.493007 -p -0.493007 0.044 -0.246503 -p -0.493007 -0.044 -0.246503 -p -0.493007 0.044 -0.246503 -p -0.493007 0.044 0.246503 -p -0.493007 -0.044 0.246503 -p -0.493007 0.044 0.246503 -p -0.246503 0.044 0.493007 -p -0.246503 -0.044 0.493007 -p -0.246503 0.044 0.493007 -p 0.246503 0.044 0.493007 -p 0.246503 -0.044 0.493007;')
self.CON_name = 'volume octagon'
# rombus
elif n == '10':
mel.eval('curve -d 1 -p 0 0.5 0 -p 0.5 0 0 -p 0 0 0.5 -p -0.5 0 0 -p 0 0 -0.5 -p 0 0.5 0 -p 0 0 0.5 -p 0 -0.5 0 -p 0 0 -0.5 -p 0.5 0 0 -p 0 0.5 0 -p -0.5 0 0 -p 0 -0.5 0 -p 0.5 0 0;')
self.CON_name = 'rombus'
# root
elif n == '11':
mel.eval('curve -d 3 -p 0 0 0.514016 -p 0.215045 0 0.43009 -p 0.215045 0 0.43009 -p 0.215045 0 0.43009 -p 0.107523 0 0.43009 -p 0.107523 0 0.43009 -p 0.107523 0 0.43009 -p 0.107523 0 0.43009 -p 0.107523 0 0.348839 -p 0.107523 0 0.348839 -p 0.107523 0 0.348839 -p 0.165418 0 0.3301 -p 0.269267 0 0.268173 -p 0.330916 0 0.164045 -p 0.348514 0 0.107561 -p 0.348514 0 0.107561 -p 0.348514 0 0.107561 -p 0.348514 0 0.107561 -p 0.43009 0 0.107523 -p 0.43009 0 0.107523 -p 0.43009 0 0.107523 -p 0.43009 0 0.215045 -p 0.43009 0 0.215045 -p 0.43009 0 0.215045 -p 0.514016 0 0 -p 0.514016 0 0 -p 0.514016 0 0 -p 0.43009 0 -0.215045 -p 0.43009 0 -0.215045 -p 0.43009 0 -0.215045 -p 0.43009 0 -0.215045 -p 0.43009 0 -0.107523 -p 0.43009 0 -0.107523 -p 0.43009 0 -0.107523 -p 0.34749 0 -0.107523 -p 0.34749 0 -0.107523 -p 0.34749 0 -0.107523 -p 0.330753 0 -0.16432 -p 0.268043 0 -0.270089 -p 0.161744 0 -0.33227 -p 0.103842 0 -0.349651 -p 0.103842 0 -0.349651 -p 0.103842 0 -0.349651 -p 0.107523 0 -0.43009 -p 0.107523 0 -0.43009 -p 0.107523 0 -0.43009 -p 0.215045 0 -0.43009 -p 0.215045 0 -0.43009 -p 0.215045 0 -0.43009 -p 0 0 -0.514016 -p 0 0 -0.514016 -p 0 0 -0.514016 -p -0.215045 0 -0.43009 -p -0.215045 0 -0.43009 -p -0.215045 0 -0.43009 -p -0.215045 0 -0.43009 -p -0.107523 0 -0.43009 -p -0.107523 0 -0.43009 -p -0.107523 0 -0.43009 -p -0.107523 0 -0.43009 -p -0.106926 0 -0.348711 -p -0.106926 0 -0.348711 -p -0.106926 0 -0.348711 -p -0.106926 0 -0.348711 -p -0.163653 0 -0.331148 -p -0.268767 0 -0.269043 -p -0.330943 0 -0.163999 -p -0.348078 0 -0.107523 -p -0.348078 0 -0.107523 -p -0.348078 0 -0.107523 -p -0.348078 0 -0.107523 -p -0.43009 0 -0.107523 -p -0.43009 0 -0.107523 -p -0.43009 0 -0.107523 -p -0.43009 0 -0.215045 -p -0.43009 0 -0.215045 -p -0.43009 0 -0.215045 -p -0.43009 0 -0.215045 -p -0.514016 0 0 -p -0.514016 0 0 -p -0.514016 0 0 -p -0.514016 0 0 -p -0.43009 0 0.215045 -p -0.43009 0 0.215045 -p -0.43009 0 0.215045 -p -0.43009 0 0.215045 -p -0.43009 0 0.107523 -p -0.43009 0 0.107523 -p -0.43009 0 0.107523 -p -0.43009 0 0.107523 -p -0.347279 0 0.107523 -p -0.347279 0 0.107523 -p -0.347279 0 0.107523 -p -0.347279 0 0.107523 -p -0.331036 0 0.163843 -p -0.269226 0 0.268353 -p -0.164939 0 0.330385 -p -0.109006 0 0.348061 -p -0.109006 0 0.348061 -p -0.109006 0 0.348061 -p -0.109006 0 0.348061 -p -0.107523 0 0.43009 -p -0.107523 0 0.43009 -p -0.107523 0 0.43009 -p -0.107523 0 0.43009 -p -0.215045 0 0.43009 -p -0.215045 0 0.43009 -p -0.215045 0 0.43009 -p 0 0 0.514016 -p 0 0 0.514016 -p 0 0 0.514016 -p 0 0 0.514016;')
self.CON_name = 'root'
# hexagon
elif n == '12':
mel.eval('curve -d 1 -p -0.257187 0 0.445461 -p 0.257187 0 0.445461 -p 0.514375 0 2.51218e-07 -p 0.257187 0 -0.445461 -p -0.257187 0 -0.445461 -p -0.514375 0 1.69509e-07 -p -0.257187 0 0.445461;')
self.CON_name = 'hexagon'
# square
elif n == '13':
mel.eval('curve -d 1 -p -0.5 0 0.5 -p 0.5 0 0.5 -p 0.5 0 -0.5 -p -0.5 0 -0.5 -p -0.5 0 0.5;')
self.CON_name = 'square'
# pyramid
elif n == '14':
mel.eval('curve -d 1 -p 0 0.405941 -0.405941 -p 0 0.405941 0.405941 -p 0 -0.405941 0.405941 -p 2.029703 0 0 -p 0 0.405941 0.405941 -p 0 0.405941 -0.405941 -p 2.029703 0 0 -p 0 -0.405941 -0.405941 -p 0 0.405941 -0.405941 -p 0 0.405941 0.405941 -p 0 -0.405941 0.405941 -p 0 -0.405941 -0.405941 -k 0 -k 1 -k 2 -k 3 -k 4 -k 5 -k 6 -k 7 -k 8 -k 9 -k 10 -k 11 ;')
self.CON_name = 'pyramid'
# boxPin
elif n == '15':
mel.eval('curve -d 1 -p 0 0.521014 0 -p 0 0.370427 0.150588 -p 0 0.370427 0.301176 -p 0 -0.231927 0.301176 -p 0 -0.231927 -0.301176 -p 0 0.370427 -0.301176 -p 0 0.370427 -0.150588 -p 0 0.521014 0 -k 0 -k 1 -k 2 -k 3 -k 4 -k 5 -k 6 -k 7 ;')
self.CON_name = 'boxPin'
# pin
elif n == '16':
mel.eval('curve -d 1 -p 0 -0.402236 0 -p 0 0.330789 0 -p 0 0.351072 0.128059 -p 0 0.409934 0.243582 -p 0 0.501614 0.335262 -p 0 0.617137 0.394124 -p 0 0.745196 0.414406 -p 0 0.873254 0.394124 -p 0 0.988778 0.335262 -p 0 1.080458 0.243582 -p 0 1.13932 0.128059 -p 0 1.159602 0 -p 0 1.13932 -0.128059 -p 0 1.080458 -0.243582 -p 0 0.988778 -0.335262 -p 0 0.873255 -0.394124 -p 0 0.745196 -0.414406 -p 0 0.617137 -0.394124 -p 0 0.501614 -0.335262 -p 0 0.409934 -0.243582 -p 0 0.351072 -0.128059 -p 0 0.330789 0 -k 0 -k 1 -k 2 -k 3 -k 4 -k 5 -k 6 -k 7 -k 8 -k 9 -k 10 -k 11 -k 12 -k 13 -k 14 -k 15 -k 16 -k 17 -k 18 -k 19 -k 20 -k 21 ;')
self.CON_name = 'pin'
self.ui.curveClear_BTN.setText(self.CON_name)
# elif i == '17':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# elif i == '18':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# elif i == '19':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# elif i == '20':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# elif i == '21':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# elif i == '22':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# elif i == '23':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# pyramid
# elif n == '24':
# cmds.curve( d=1 , p =[(5, 0, 0),( 0, 1, -1 ),( 0, 1, 1 ),( 5 ,0, 0 ),( 0 ,-1, 1 ),( 0, 1, 1 ),( 0, 1, -1 ),( 0, -1, -1 ),( 0, -1, 1 ),( 0, -1, -1 ),( 5, 0, 0 )], k = [0,1,2,3,4,5,6,7,8,9,10] )
# # half arrow
# elif n == '25':
# cmds.curve( d=1 , p =[(0, 0, 0 ),( 0, -1, 0 ),( 0.35, -0.4, 0 ),( 0, -0.4, 0 )], k = [0,1,2,3] )
# # fat arrow
# elif n == '26':
# cmds.curve( d=1 , p =[(1.5 ,0, 0),( 0.9, 0.3, 0),( 0.9 ,0.15, 0 ),( 0 ,0.15, 0 ),( 0 ,-0.15, 0 ),( 0.9 ,-0.15, 0 ),( 0.9, -0.3, 0 ),( 1.5, 0, 0)], k = [0,1,2,3,4,5,6,7] )
# # circle2
# elif n == '27':
# cmds.circle(nr=(1,0,0), sw=360, r=1, d=3 , ut=0, s=8, ch=1)
# # box2
# elif n == '28':
# cmds.curve( d=1, p =[(-1,-1,-1),(-1,-1,1),(1,-1,1),(1,-1,-1),(-1,-1,-1),(-1,1,-1),(-1,1,1),(-1,-1,1),(1,-1,1),(1,1,1),(-1,1,1),(-1,1,-1),(1,1,-1),(1,1,1),(1,-1,1),(1,-1,-1),(1,1,-1)], k =[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16] )
def curveClear(self):
self.CON_name = 'Controller Maker'
del self.temp_CON[0:len(self.temp_CON)]
self.ui.curveClear_BTN.setText(self.CON_name)
def setFilename(self):
self.JsonName = str(self.ui.fileName_LIE.text())
return self.JsonName
def setMayaFolder(self):
# #cmds.workspace (dir=startFolder)
self.mayaFolder = cmds.fileDialog2(fm=3, caption = "Set")[0]
# print self.mayaFolder
# # When you press cancel or close, mayaFolder would be None and not running this code.
if self.mayaFolder:
#setPath = self.browseForFolderCallback(mayaFolder[0])
self.ui.expConPath_LIE.setText( self.mayaFolder )
def makeCurveDic(self):
self.curveDic = {}
selCurveShape = cmds.ls(sl=True, dag=True, ni=True, type='nurbsCurve')
cvCountList = []
for i in range(len(selCurveShape)):
if cmds.getAttr('%s.f' %selCurveShape[i])==2:
cvCount = cmds.getAttr( '%s.spans' %selCurveShape[i])
else:
cvCount = cmds.getAttr( '%s.spans' %selCurveShape[i]) + cmds.getAttr( '%s.degree' % selCurveShape[i] )
cvCountList.append( cvCount )
count = 0
while count < len( cvCountList ):
self.curveDic[selCurveShape[count]] = {}
for cvNum in range( cvCountList[count]):
cvPosition = cmds.pointPosition( '%s.cv[%s]' %( selCurveShape[count], cvNum ) ,l=True)
self.curveDic[selCurveShape[count]][cvNum] = cvPosition
count = count + 1
def exportCON_JSON(self):
self.setFilename()
self.makeCurveDic()
filePath = self.mayaFolder +'/'+ self.JsonName +'.json'
# write
F = open( filePath, 'w' )
F.write(json.dumps( self.curveDic, indent = 4 ))
F.close()
QtWidgets.QMessageBox.information(self, "Done", 'Your curves exported here. "%s"' %filePath,
QtWidgets.QMessageBox.Ok)
def importCON_JSON(self):
# self.mayaFolder2 = cmds.fileDialog2(fm=3, caption = "Set")[0]
# filePath = self.mayaFolder + self.JsonName +'.json'
basicFilter = "*.json"
filePath = cmds.fileDialog2(ff=basicFilter, dialogStyle=1,fm=1,rf=True)
# load
F = open( str(filePath[0]) )
self.loadedData = json.load( F )
F.close()
jsonKeys = self.loadedData.keys()
for i in jsonKeys:
curveShapeKeys = self.loadedData[i].keys()
for j in curveShapeKeys:
controlPoints = self.loadedData[i][j]
cmds.setAttr("%s.controlPoints[%s].xValue" %(i,j), controlPoints[0])
cmds.setAttr("%s.controlPoints[%s].yValue" %(i,j), controlPoints[1])
cmds.setAttr("%s.controlPoints[%s].zValue" %(i,j), controlPoints[2])
#------------------------------------------------------------------------------------------------------------------------
def OPEN():
global Window
try:
Window.close()
Window.deleteLater()
except: pass
Window = uiMainWindow()
Window.ui.show()
| [
"[email protected]"
] | |
ec3279a0d583a81c3f3babb1c9cf24cf74075378 | 2e4023d59718d87e1940b27ada9155a9a47a7668 | /tests/serialization/serializers_test.py | 78ee84a4e45f73535abd4bd8f1ecd15917121351 | [
"Apache-2.0"
] | permissive | olukas/hazelcast-python-client | c71038a22b73de894320d641dbf617509049c63d | 63bcbaaef0bf755e4e94e8e536d19d964e02144a | refs/heads/master | 2020-03-20T21:27:02.460282 | 2018-06-18T11:50:39 | 2018-06-19T12:02:37 | 137,741,377 | 0 | 0 | null | 2018-06-18T11:02:55 | 2018-06-18T11:02:55 | null | UTF-8 | Python | false | false | 3,526 | py | import binascii
from hzrc.ttypes import Lang
from hazelcast.config import SerializationConfig, INTEGER_TYPE
from hazelcast.serialization.data import Data
from hazelcast.serialization.serialization_const import CONSTANT_TYPE_DOUBLE
from hazelcast.serialization.service import SerializationServiceV1
from tests.base import SingleMemberTestCase
class SerializersTestCase(SingleMemberTestCase):
def setUp(self):
config = SerializationConfig()
config.default_integer_type = INTEGER_TYPE.BIG_INT
self.service = SerializationServiceV1(serialization_config=config)
def tearDown(self):
self.service.destroy()
def test_none_serializer(self):
none = None
data_n = self.service.to_data(none)
self.assertIsNone(data_n)
self.assertIsNone(self.service.to_object(Data()))
def test_boolean_serializer(self):
true = True
false = False
data_t = self.service.to_data(true)
data_f = self.service.to_data(false)
obj_t = self.service.to_object(data_t)
obj_f = self.service.to_object(data_f)
self.assertEqual(true, obj_t)
self.assertEqual(false, obj_f)
def test_char_type_serializer(self):
buff = bytearray(binascii.unhexlify("00000000fffffffb00e7"))
data = Data(buff)
obj = self.service.to_object(data)
self.assertEqual(unichr(0x00e7), obj)
def test_float(self):
buff = bytearray(binascii.unhexlify("00000000fffffff700000000"))
data = Data(buff)
obj = self.service.to_object(data)
self.assertEqual(0.0, obj)
def test_double(self):
double = 1.0
data = self.service.to_data(double)
obj = self.service.to_object(data)
self.assertEqual(data.get_type(), CONSTANT_TYPE_DOUBLE)
self.assertEqual(double, obj)
def test_datetime(self):
year = 2000
month = 11
day = 15
hour = 23
minute = 59
second = 49
script = """
from java.util import Date, Calendar
cal = Calendar.getInstance()
cal.set({}, ({}-1), {}, {}, {}, {})
result=instance_0.getSerializationService().toBytes(cal.getTime())
""".format(year, month, day, hour, minute, second)
response = self.rc.executeOnController(self.cluster.id, script, Lang.PYTHON)
data = Data(response.result)
val = self.service.to_object(data)
self.assertEqual(year, val.year)
self.assertEqual(month, val.month)
self.assertEqual(day, val.day)
self.assertEqual(hour, val.hour)
self.assertEqual(minute, val.minute)
self.assertEqual(second, val.second)
def test_big_int_small(self):
self._big_int_test(12)
def test_big_int_small_neg(self):
self._big_int_test(-13)
def test_big_int(self):
self._big_int_test(1234567890123456789012345678901234567890)
def test_big_int_neg(self):
self._big_int_test(-1234567890123456789012345678901234567890)
def _big_int_test(self, big_int):
script = """from java.math import BigInteger
result=instance_0.getSerializationService().toBytes(BigInteger("{}",10))""".format(big_int)
response = self.rc.executeOnController(self.cluster.id, script, Lang.PYTHON)
data = Data(response.result)
val = self.service.to_object(data)
data_local = self.service.to_data(big_int)
self.assertEqual(binascii.hexlify(data._buffer), binascii.hexlify(data_local._buffer))
self.assertEqual(big_int, val)
| [
"[email protected]"
] | |
23033e06f849b85dadc20b94437ee03c24802976 | c7f43c4cc0ee84a5fe246b67f51e30b8d726ebd5 | /keras/keras09_mlp.py | 44099b84aa0e9f80008f67c742b96110ca820afa | [] | no_license | 89Mansions/AI_STUDY | d9f8bdf206f14ba41845a082e731ea844d3d9007 | d87c93355c949c462f96e85e8d0e186b0ce49c76 | refs/heads/master | 2023-07-21T19:11:23.539693 | 2021-08-30T08:18:59 | 2021-08-30T08:18:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 338 | py | import numpy as np
# x = np.array([1,2,3,4,5,6,7,8,9,10]) # 스칼라가 10개인 벡터 x
x = np.array([[1,2,3,4,5,6,7,8,9,10],
[1,2,3,4,5,6,7,8,9,10]]) # 스칼라가 10개인 벡터가 두 개인 행렬
y = np.array([1,2,3,4,5,6,7,8,9,10])
print(x.shape) #(10,) - 스칼라가 10개라는 의미 ----> (2, 10)
| [
"[email protected]"
] | |
5bb5c4b02a0bc44e5dc8e8d0385746704ce0e2bf | d989c42f7122b783bbf330fbb194c8872c947424 | /deutschland/dwd/model/warning_nowcast.py | ed2f3f91637ac4e2040d7329d57b3e024f96839d | [
"Apache-2.0"
] | permissive | auchtetraborat/deutschland | 3c5c206cbe86ad015c7fef34c10e6c9afbc3b971 | fdc78d577c5c276629d31681ffc30e364941ace4 | refs/heads/main | 2023-08-24T08:17:51.738220 | 2021-10-20T19:35:46 | 2021-10-20T19:35:46 | 403,704,859 | 0 | 0 | Apache-2.0 | 2021-09-06T17:19:21 | 2021-09-06T17:19:20 | null | UTF-8 | Python | false | false | 11,997 | py | """
Deutscher Wetterdienst: API
Aktuelle Wetterdaten von allen Deutschen Wetterstationen # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from deutschland.dwd.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
validate_get_composed_info,
)
from ..model_utils import OpenApiModel
from deutschland.dwd.exceptions import ApiAttributeError
def lazy_import():
from deutschland.dwd.model.warning_nowcast_warnings import WarningNowcastWarnings
globals()["WarningNowcastWarnings"] = WarningNowcastWarnings
class WarningNowcast(ModelNormal):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
Attributes:
allowed_values (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
with a capitalized key describing the allowed value and an allowed
value. These dicts store the allowed enum values.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
discriminator_value_class_map (dict): A dict to go from the discriminator
variable value to the discriminator class name.
validations (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
that stores validations for max_length, min_length, max_items,
min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
inclusive_minimum, and regex.
additional_properties_type (tuple): A tuple of classes accepted
as additional properties values.
"""
allowed_values = {}
validations = {}
@cached_property
def additional_properties_type():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
"""
lazy_import()
return (
bool,
date,
datetime,
dict,
float,
int,
list,
str,
none_type,
) # noqa: E501
_nullable = False
@cached_property
def openapi_types():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type.
"""
lazy_import()
return {
"time": (int,), # noqa: E501
"warnings": ([WarningNowcastWarnings],), # noqa: E501
"binnen_see": (
str,
none_type,
), # noqa: E501
}
@cached_property
def discriminator():
return None
attribute_map = {
"time": "time", # noqa: E501
"warnings": "warnings", # noqa: E501
"binnen_see": "binnenSee", # noqa: E501
}
read_only_vars = {}
_composed_schemas = {}
@classmethod
@convert_js_args_to_python_args
def _from_openapi_data(cls, *args, **kwargs): # noqa: E501
"""WarningNowcast - a model defined in OpenAPI
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
time (int): [optional] # noqa: E501
warnings ([WarningNowcastWarnings]): [optional] # noqa: E501
binnen_see (str, none_type): [optional] # noqa: E501
"""
_check_type = kwargs.pop("_check_type", True)
_spec_property_naming = kwargs.pop("_spec_property_naming", False)
_path_to_item = kwargs.pop("_path_to_item", ())
_configuration = kwargs.pop("_configuration", None)
_visited_composed_classes = kwargs.pop("_visited_composed_classes", ())
self = super(OpenApiModel, cls).__new__(cls)
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
% (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__,),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)
for var_name, var_value in kwargs.items():
if (
var_name not in self.attribute_map
and self._configuration is not None
and self._configuration.discard_unknown_keys
and self.additional_properties_type is None
):
# discard variable.
continue
setattr(self, var_name, var_value)
return self
required_properties = set(
[
"_data_store",
"_check_type",
"_spec_property_naming",
"_path_to_item",
"_configuration",
"_visited_composed_classes",
]
)
@convert_js_args_to_python_args
def __init__(self, *args, **kwargs): # noqa: E501
"""WarningNowcast - a model defined in OpenAPI
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
time (int): [optional] # noqa: E501
warnings ([WarningNowcastWarnings]): [optional] # noqa: E501
binnen_see (str, none_type): [optional] # noqa: E501
"""
_check_type = kwargs.pop("_check_type", True)
_spec_property_naming = kwargs.pop("_spec_property_naming", False)
_path_to_item = kwargs.pop("_path_to_item", ())
_configuration = kwargs.pop("_configuration", None)
_visited_composed_classes = kwargs.pop("_visited_composed_classes", ())
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
% (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__,),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)
for var_name, var_value in kwargs.items():
if (
var_name not in self.attribute_map
and self._configuration is not None
and self._configuration.discard_unknown_keys
and self.additional_properties_type is None
):
# discard variable.
continue
setattr(self, var_name, var_value)
if var_name in self.read_only_vars:
raise ApiAttributeError(
f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate "
f"class with read only attributes."
)
| [
"[email protected]"
] | |
a01bdca1898fdadec08676b45c4bfbf7d587cc88 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_397/ch6_2020_03_04_19_39_52_514053.py | d80fe50cbca06aa26b98b832df81cd9961a2fad3 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 61 | py | def celsius_para_fahrenheit (C):
F= C*9/5+32
return F | [
"[email protected]"
] | |
e2bcbcc8eabdb541cdd13185af9f8b4f40943c05 | 79bf34ad2894c92a8ad887404225295595313958 | /ex44d.py | 3641234825b4c46314357fee5adaa74cce562d33 | [
"MIT"
] | permissive | sogada/python | 98ac577a18d709a13ace2a56d27e675edeeb032b | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | refs/heads/master | 2020-04-21T00:12:44.872044 | 2015-10-29T20:18:02 | 2015-10-29T20:18:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | class Parent(object):
def override(self):
print "PARENT override()"
def implicit(self):
print "PARENT implicit()"
def altered(self):
print "PARENT altered()"
class Child(Parent):
def override(self):
print "CHILD override()"
def altered(self):
print "CHILD, BEFORE PARENT altered()"
super(Child, self).altered()
print "CHILD, AFTER PARENT altered()"
dad = Parent()
son = Child()
#Child inherits implicit
dad.implicit()
son.implicit()
#Child overrides the override() function from Parent
dad.override()
son.override()
#Child overrides the altered() method from Parent, then uses super
#to inherit and use the original function from Parent
dad.altered()
son.altered()
| [
"[email protected]"
] | |
5bdd168eca6ca9a05b5765cb0375fb4bd7b45dc1 | 16f0171b1aecb8d104a208df4953884a9ab97b26 | /googlenet_regression/get_regressions_batch.py | 5412aac0db52a3a1cebf4611c8f5168f70565739 | [] | no_license | gombru/LearnFromWebData | 97538dd91822a0e2a7d12084cde0d9dbf64f3c70 | 163447027c856004836abe40d9f653ec03da0702 | refs/heads/master | 2020-03-24T23:12:43.819864 | 2018-08-01T12:25:10 | 2018-08-01T12:25:10 | 143,123,717 | 13 | 7 | null | null | null | null | UTF-8 | Python | false | false | 2,341 | py | import caffe
import numpy as np
from PIL import Image
import os
caffe.set_device(0)
caffe.set_mode_gpu()
test = np.loadtxt('../../../datasets/SocialMedia/word2vec_mean_gt/test_InstaCities1M.txt', dtype=str)
# test = np.loadtxt('../../../datasets/WebVision/info/test_filelist.txt', dtype=str)
#Model name
model = 'WebVision_Inception_frozen_word2vec_tfidfweighted_divbymax_iter_460000'
#Output file
output_file_dir = '../../../datasets/SocialMedia/regression_output/' + model
if not os.path.exists(output_file_dir):
os.makedirs(output_file_dir)
output_file_path = output_file_dir + '/test.txt'
output_file = open(output_file_path, "w")
# load net
net = caffe.Net('../googlenet_regression/prototxt/deploy.prototxt', '../../../datasets/WebVision/models/saved/'+ model + '.caffemodel', caffe.TEST)
size = 227
# Reshape net
batch_size = 250 #300
net.blobs['data'].reshape(batch_size, 3, size, size)
print 'Computing ...'
count = 0
i = 0
while i < len(test):
indices = []
if i % 100 == 0:
print i
# Fill batch
for x in range(0, batch_size):
if i > len(test) - 1: break
# load image
# filename = '../../../datasets/WebVision/test_images_256/' + test[i]
filename = '../../../datasets/SocialMedia/img_resized_1M/cities_instagram/' + test[i].split(',')[0] + '.jpg'
im = Image.open(filename)
im_o = im
im = im.resize((size, size), Image.ANTIALIAS)
indices.append(test[i])
# Turn grayscale images to 3 channels
if (im.size.__len__() == 2):
im_gray = im
im = Image.new("RGB", im_gray.size)
im.paste(im_gray)
#switch to BGR and substract mean
in_ = np.array(im, dtype=np.float32)
in_ = in_[:,:,::-1]
in_ -= np.array((104, 117, 123))
in_ = in_.transpose((2,0,1))
net.blobs['data'].data[x,] = in_
i += 1
# run net and take scores
net.forward()
# Save results for each batch element
for x in range(0,len(indices)):
topic_probs = net.blobs['probs'].data[x]
topic_probs_str = ''
for t in topic_probs:
topic_probs_str = topic_probs_str + ',' + str(t)
output_file.write(indices[x].split(',')[0] + topic_probs_str + '\n')
output_file.close()
print "DONE"
print output_file_path
| [
"[email protected]"
] | |
d9bb751f34c8e257138dea53f4f9867ddfaf4d38 | 522ef4ac3fcf82c54cec31e494f3ad86fb2fa0cf | /apps/users/views.py | 151cdac264a1a0aa4b565f6d81d01517b973dd07 | [] | no_license | yanshigou/hydrology_mgmt | 845b124ee7fc726db83024458d222ca6edd71acf | 701149c7beebaca169ad7183434dc2004963e6cf | refs/heads/master | 2022-04-09T00:28:15.470710 | 2019-12-30T02:56:55 | 2019-12-30T02:56:55 | 209,734,620 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 44,325 | py | # -*- coding: utf-8 -*-
from django.views import View
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponseRedirect, JsonResponse
from django.contrib.auth.hashers import make_password
from django.shortcuts import render
from rest_framework.views import APIView
from .forms import RegisterForm, LoginForm, UploadImageForm, UserInfoForm, PasswordForm, CompanySerializer, \
UserProfileSerializer, MessageSerializer, SystemSettingsForm
from .models import UserProfile, HistoryRecord, Message, CompanyModel, SystemSettings
from myutils.mixin_utils import LoginRequiredMixin
from myutils.utils import create_history_record, make_message, jpush_function_extra
from django.core.urlresolvers import reverse
from devices.models import DevicesInfo
from station.models import StationInfo
DEFAULT_PASSWORD = "123456"
class RegisterView2(LoginRequiredMixin, View):
def get(self, request):
register_form = RegisterForm()
username = request.user
if str(username) == "AnonymousUser":
# return HttpResponseRedirect(reverse("login"))
return render(request, 'register2.html', {'msg': '请先登录确认权限后再注册其他账号'})
user = UserProfile.objects.get(username=username)
# print(user.permission)
if user.permission == 'superadmin':
company_id = CompanyModel.objects.all()
return render(request, 'register2.html', {
'register_form': register_form,
'permission': user.permission,
"company_id": company_id
})
elif user.permission == 'admin':
company_id = user.company.id
return render(request, 'register2.html', {
'register_form': register_form,
'permission': user.permission,
"company_id": company_id
})
else:
company_id = user.company.id
return render(request, 'register2.html', {
'permission': user.permission,
'msg': '您没有权限注册其他账号，请联系管理员',
"company_id": company_id
})
def post(self, request):
username = request.user.username
user = UserProfile.objects.get(username=username)
# print(user.permission)
if (user.permission != "superadmin") and (user.permission != "admin"):
return JsonResponse({
'status': "fail",
'msg': '您没有权限注册其他账号'
})
password = request.POST.get('password', '')
if password == "":
password = '123456'
# print(password)
permission = request.POST.get('permission', 'user')
company_id = request.POST.get('company', '')
username = request.POST.get('username', '')
if not username or UserProfile.objects.filter(username=username):
return JsonResponse({
'status': "fail",
'msg': '请检查用户名是否填写或重复'
})
if permission == "superadmin":
return JsonResponse({
'status': "fail",
'msg': '您没有权限注册超级管理员'
})
if permission == "admin" and user.permission != "superadmin":
return JsonResponse({
'status': "fail",
'msg': '您没有权限注册管理员'
})
user_profile = UserProfile()
user_profile.username = username
user_profile.password = make_password(password)
user_profile.permission = permission
user_profile.company_id = company_id
user_profile.save()
# 记录操作
if permission == "superadmin":
permission = "超级管理员"
elif permission == "admin":
permission = "管理员"
elif permission == "user":
permission = "用户"
elif permission == "other":
permission = "其他类型用户"
make_message(username, "初始密码过于简单，请立即修改密码！", -1)
create_history_record(user, "注册 %s 账号 %s" % (permission, username))
return JsonResponse({
'status': "success",
'msg': '注册成功'
})
class LoginView(View):
def get(self, request):
# print(request.COOKIES)
if 'username' in request.COOKIES:
# 获取记住的用户名
username = request.COOKIES['username']
else:
username = ''
if 'password' in request.COOKIES:
# 获取记住的用户名
password = request.COOKIES['password']
else:
password = ''
return render(request, "login.html", {'username': username, "password": password})
def post(self, request):
login_form = LoginForm(request.POST)
if login_form.is_valid():
user_name = request.POST.get('username', '')
pass_word = request.POST.get('password', '')
remember = request.POST.get('remember', '')
# print(remember)
user = authenticate(username=user_name, password=pass_word)
if user is not None:
if user.is_active:
response = HttpResponseRedirect(reverse("index"))
login(request, user)
create_history_record(user, "登录")
if remember == "on":
# 设置cookie username *过期时间为1周
response.set_cookie('username', user_name, max_age=7 * 24 * 3600)
response.set_cookie('password', pass_word, max_age=7 * 24 * 3600)
response.set_cookie('password', pass_word, max_age=7 * 24 * 3600)
return response
# return HttpResponse('登录成功')
else:
return render(request, 'login.html', {'msg': "用户未激活"})
else:
return render(request, 'login.html', {'msg': '用户名或密码错误！'})
else:
return render(request, 'login.html', {'login_form': login_form})
class AppLoginView(View):
def post(self, request):
try:
user_name = request.POST.get('username', '')
pass_word = request.POST.get('password', '')
user = authenticate(username=user_name, password=pass_word)
# print(user_name)
# print(pass_word)
if user is not None:
if user.is_active:
login(request, user)
create_history_record(user, "app登录")
return JsonResponse({
"error_no": 0
})
else:
return JsonResponse({
"error_no": 3,
"info": "not active"
})
else:
return JsonResponse({
"error_no": 2,
"info": "username or password wrong"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
# 修改密码
class ChangePassword(View):
def get(self, request):
return render(request, 'change_password.html', {})
def post(self, request):
password_form = PasswordForm(request.POST)
# print(request.POST)
if password_form.is_valid():
old_password = request.POST.get('old_password', '')
password1 = request.POST.get('password1', '')
password2 = request.POST.get('password2', '')
user = authenticate(username=request.user.username, password=old_password)
# print(user)
if not user:
return render(request, 'change_password.html', {'msg': '请先登录后，再修改密码'})
if user is not None:
if password1 == password2:
userinfo = UserProfile.objects.get(username=user)
userinfo.password = make_password(password1)
userinfo.save()
create_history_record(user, "修改密码")
return render(request, 'change_password.html', {'msg': '密码修改成功！'})
else:
return render(request, 'change_password.html', {'msg': '两次密码不一致'})
else:
return render(request, 'change_password.html', {'msg': '原密码错误'})
else:
return render(request, 'change_password.html', {'password_form': password_form})
# class AppChangePassword(View):
#
# def post(self, request):
# try:
# username = request.POST.get('username', '')
# old_password = request.POST.get('old_password', '')
# password1 = request.POST.get('password1', '')
# password2 = request.POST.get('password2', '')
# # print(username)
# # print(old_password)
# user = authenticate(username=username, password=old_password)
# print(user)
# if not user:
# return JsonResponse({
# "error_no": 1,
# "info": "login first"
# })
# if user is not None:
# if password1 == password2:
# userinfo = UserProfile.objects.get(username=user)
# userinfo.password = make_password(password1)
# userinfo.save()
# create_history_record(user, "app修改密码")
# return JsonResponse({
# "error_no": 0
# })
# else:
# return JsonResponse({
# "error_no": 1,
# "info": "password not same"
# })
# else:
# return JsonResponse({
# "error_no": 1,
# "info": "password wrong"
# })
# except Exception as e:
# print(e)
# return JsonResponse({
# "error_no": -1,
# "info": str(e)
# })
class ResetPasswordView(View):
def post(self, request):
permission = request.user.permission
if permission not in ['superadmin', 'admin']:
return JsonResponse({
"status": "fail",
"msg": "您没有权限重置密码"
})
user_id = request.POST.get('user_id')
userinfo = UserProfile.objects.get(id=user_id)
if userinfo.permission == 'admin' and permission == 'admin':
return JsonResponse({
"status": "success",
"msg": "您没有权限重置管理员的密码"
})
userinfo.password = make_password("123456")
userinfo.save()
make_message(userinfo.username, "已重置密码，请立即修改密码！", -1)
res = jpush_function_extra(userinfo.username, "2", "已重置密码，请立即修改密码！", "已重置密码，密码过于简单，建议立即修改密码！")
print(res.json())
return JsonResponse({
"status": "success",
"msg": "重置密码成功"
})
class LogoutView(View):
def get(self, request):
create_history_record(request.user, "退出登录")
logout(request)
return HttpResponseRedirect(reverse("login"))
# return HttpResponse('退出成功')
class LogoutApiView(View):
def get(self, request):
# create_history_record(request.user, "退出登录")
logout(request)
# return HttpResponseRedirect(reverse("login"))
# return HttpResponse('退出成功')
return JsonResponse({
"error_no": 0
})
class Index(LoginRequiredMixin, View):
def get(self, request):
return render(request, 'blank.html', {})
class UserInfoView(LoginRequiredMixin, View):
def get(self, request):
return render(request, 'userinfo.html')
# 修改用户信息
def post(self, request):
userinfo_form = UserInfoForm(request.POST, instance=request.user)
if userinfo_form.is_valid():
userinfo_form.save()
create_history_record(request.user, "修改用户个人信息")
return JsonResponse({"status": "success"})
else:
return JsonResponse({
"status": "fail",
"errors": userinfo_form.errors,
})
class UploadImageView(LoginRequiredMixin, View):
def get(self, request):
return render(request, 'upload_image.html')
def post(self, request):
image_form = UploadImageForm(request.POST, request.FILES, instance=request.user)
if image_form.is_valid():
image_form.save()
create_history_record(request.user, "修改头像")
return HttpResponseRedirect(reverse("user_info"))
else:
return HttpResponseRedirect(reverse("upload_image"))
class AllUsersView(LoginRequiredMixin, View):
def get(self, request):
permission = request.user.permission
if permission == 'superadmin':
all_users = UserProfile.objects.all()
else:
compan_id = request.user.company.id
print(compan_id)
all_users = UserProfile.objects.filter(company_id=compan_id)
create_history_record(request.user, '查询所有用户信息')
return render(request, 'all_users.html', {
"all_users": all_users
})
class DelUserView(LoginRequiredMixin, View):
# 删除用户！
def post(self, request):
permission = request.user.permission
# print(permission)
if permission != 'superadmin':
return JsonResponse({"status": "fail", "quanxianbuzu": "对不起，您的权限不足！"})
user_id = request.POST.get("user_id")
# print(user_id)
user = UserProfile.objects.get(id=user_id)
username = user.username
user.delete()
create_history_record(request.user, '删除账号 %s' % username)
return JsonResponse({"status": "success"})
class ChangePermissionView(LoginRequiredMixin, View):
def get(self, request, user_id):
permission = request.user.permission
if permission not in ['superadmin', 'admin']:
return HttpResponseRedirect(reverse("user_info"))
user = UserProfile.objects.get(id=user_id)
return render(request, 'change_permission.html', {
"user": user
})
def post(self, request, user_id):
permission = request.user.permission
if permission not in ['superadmin', 'admin']:
return HttpResponseRedirect(reverse("user_info"))
user = UserProfile.objects.get(id=user_id)
# print(request.POST.get('permission'))
user.permission = request.POST.get('permission')
user.save()
username = user.username
create_history_record(request.user, '修改账号 %s 权限为 %s' % (username, request.POST.get('permission')))
return JsonResponse({"status": "success"})
class HistoryRecordView(LoginRequiredMixin, View):
def get(self, request):
username = request.user.username
permission = request.user.permission
if permission == "superadmin":
all_users = UserProfile.objects.all()[:1500]
return render(request, 'all_history.html', {
"all_users": all_users
})
history_record = HistoryRecord.objects.filter(username_id=username, r_type=True).order_by('-time')[:1500]
create_history_record(request.user, '查询历史操作记录')
return render(request, 'history_record.html', {
"history_record": history_record
})
class AllHistoryRecordView(LoginRequiredMixin, View):
def get(self, request, user_name):
permission = request.user.permission
if permission == "superadmin":
history_record = HistoryRecord.objects.filter(username_id=user_name, r_type=True).order_by('-time')[:1500]
create_history_record(request.user, '查询 %s 的历史操作记录' % user_name)
return render(request, 'history_record.html', {
"history_record": history_record
})
return HttpResponseRedirect(reverse("user_info"))
class MessageView(View):
def get(self, request):
all_message = Message.objects.filter(username_id=request.user.username)
return render(request, 'message.html', {
"all_message": all_message
})
def post(self, request):
msg_id = request.POST.get('msg_id', '')
# print(msg_id)
message = Message.objects.get(username_id=request.user.username, id=msg_id)
message.has_read = True
message.save()
return JsonResponse({"status": "success"})
def page_not_found(request):
# 404
response = render(request, '404.html', {})
response.status_code = 404
return response
def page_error(request):
# 500
response = render(request, '500.html', {})
response.status_code = 500
return response
class CompanyAddView(LoginRequiredMixin, View):
"""
新建公司
"""
def get(self, request):
permission = request.user.permission
print(permission)
if permission == 'superadmin':
return render(request, 'company_form_add.html')
else:
return HttpResponseRedirect(reverse("index"))
def post(self, request):
try:
permission = request.user.permission
print(permission)
if permission != "superadmin":
return JsonResponse({"status": "fail", "errors": "无权限"})
serializer = CompanySerializer(data=request.POST)
phone = request.POST["phone"]
if UserProfile.objects.filter(username=phone).count() > 0:
return JsonResponse({"status": "fail", "errors": "该电话号码的用户已经存在"})
if serializer.is_valid():
newcompany = serializer.save()
UserProfile.objects.create_user(username=phone, password=DEFAULT_PASSWORD, company=newcompany,
permission="admin")
create_history_record(request.user, "新建公司%s，管理员%s" % (newcompany.company_name, phone))
return JsonResponse({"status": "success"})
return JsonResponse({"status": "fail", "errors": "新建公司失败"})
except Exception as e:
print(e)
return JsonResponse({
"status": "fail",
"errors": "公司名称唯一"
})
class CompanyView(LoginRequiredMixin, View):
def get(self, request):
permission = request.user.permission
print(permission)
if permission == 'superadmin':
all_company = CompanyModel.objects.all().order_by('id')
all_admin_user = UserProfile.objects.filter(permission='admin')
return render(request, 'company_info.html', {"all_company": all_company, "all_admin_user": all_admin_user})
else:
return HttpResponseRedirect(reverse("index"))
class DelCompanView(LoginRequiredMixin, View):
def post(self, request):
permission = request.user.permission
print(permission)
if permission == 'superadmin':
try:
company_id = request.POST.get('company_id', "")
dev_infos = DevicesInfo.objects.filter(company_id=company_id)
company = CompanyModel.objects.filter(id=company_id)
# print(infos)
if dev_infos:
return JsonResponse({"status": "fail", "msg": "该公司下有设备，禁止删除。"})
company_name = company[0].company_name
company.delete()
create_history_record(request.user, '删除公司 %s' % company_name)
return JsonResponse({"status": "success"})
except Exception as e:
print(e)
return JsonResponse({"status": "fail", "msg": str(e)})
else:
return HttpResponseRedirect(reverse("index"))
# 1104重写app html api json
class LoginApiView(APIView):
"""
登录
"""
def post(self, request):
try:
username = request.data.get('username')
password = request.data.get('password')
user = authenticate(username=username, password=password)
if user is not None:
# is_active是否启用
if user.is_active:
login(request, user)
create_history_record(user, "app登录")
permission = user.permission
company_id = user.company
company_name = user.company
if company_id:
company_id = company_id.id
else:
company_id = ""
if company_name:
company_name = company_name.company_name
else:
company_name = ""
return JsonResponse({
"permission": permission, "company_id": company_id, "error_no": 0,
"company_name": company_name
})
else:
return JsonResponse({
"error_no": 3,
"info": "not active"
})
else:
return JsonResponse({
"error_no": -3,
"info": "username or password wrong"
})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
class ResetPasswordApiView(APIView):
"""
共用重置密码
"""
def post(self, request):
try:
username = request.META.get("HTTP_USERNAME")
user_id = request.data.get('user_id')
user = UserProfile.objects.get(username=username)
permission = user.permission
if permission not in ['superadmin', 'admin']:
return JsonResponse({
"error_no": 2,
"info": "您没有权限重置密码"
})
if permission == 'superadmin':
userinfo = UserProfile.objects.get(id=user_id)
userinfo.password = make_password("123456")
userinfo.save()
create_history_record(username, '重置%s的密码' % userinfo.username)
make_message(userinfo.username, "已重置密码，请立即修改密码！", -1)
elif permission == 'admin':
company_id = user.company_id
userinfo = UserProfile.objects.get(id=user_id, company_id=company_id)
if userinfo.permission == 'admin' or userinfo.permission == 'superadmin':
return JsonResponse({
"error_no": -2,
"info": "您没有权限重置密码"
})
return JsonResponse({
"error_no": 0,
"info": "重置密码成功"
})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
class ChangePasswordApiView(APIView):
"""
共用修改密码api
"""
def post(self, request):
try:
username = request.data.get('username', '')
old_password = request.data.get('old_password', '')
password1 = request.data.get('password1', '')
password2 = request.data.get('password2', '')
user = authenticate(username=username, password=old_password)
if user is not None:
if password1 == password2:
userinfo = UserProfile.objects.get(username=user)
userinfo.password = make_password(password1)
userinfo.save()
create_history_record(user, "修改密码")
return JsonResponse({
"error_no": 0,
"info": "Success"
})
else:
return JsonResponse({
"error_no": 1,
"info": "两次密码不一致"
})
else:
return JsonResponse({
"error_no": 1,
"info": "用户名或密码错误"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
class UserInfoApiView(APIView):
"""
共用用户信息 增删改查
超级管理员操作所有用户
管理员仅能操作当前公司下的用户
"""
def get(self, request):
try:
username = request.META.get("HTTP_USERNAME")
print(username)
users = UserProfile.objects.get(username=username)
permission = users.permission
if permission == 'superadmin':
all_users = UserProfile.objects.all().order_by('company_id')
serializer = UserProfileSerializer(all_users, many=True)
elif permission == 'admin':
company_id = users.company_id
all_users = UserProfile.objects.filter(company_id=company_id).order_by('id')
serializer = UserProfileSerializer(all_users, many=True)
else:
return JsonResponse({"error_no": 2, "info": "你没有权限修改"})
data = {
"data": serializer.data,
"error_no": 0
}
create_history_record(username, "查询用户列表")
return JsonResponse(data)
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def post(self, request):
try:
username = request.META.get("HTTP_USERNAME")
newusername = request.data.get("newuser")
phone = request.data.get("phone")
password = request.data.get("password")
if not password:
password = '123456'
company_name = request.data.get("company_name")
perm = request.data.get("permission")
user = UserProfile.objects.get(username=username)
permission = user.permission
if permission == 'superadmin':
company_id = CompanyModel.objects.get(company_name=company_name).id
UserProfile.objects.create_user(username=newusername, password=password, mobile=phone,
company_id=company_id, permission=perm)
elif permission == 'admin':
company_id = user.company_id
UserProfile.objects.create_user(username=newusername, password=password, mobile=phone,
company_id=company_id, permission=perm)
else:
return JsonResponse({"error_no": -2, "info": "没有权限新增用户"})
create_history_record(username,
"新增用户%s-%s" % (CompanyModel.objects.get(id=company_id).company_name, newusername))
return JsonResponse({"error_no": 0, "info": "Success"})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except CompanyModel.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个公司"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def put(self, request):
"""
仅修改权限
"""
try:
username = request.META.get("HTTP_USERNAME")
perm = request.data.get("permission")
modify_username = request.data.get("username")
user = UserProfile.objects.get(username=username)
permission = user.permission
if perm == 'superadmin':
return JsonResponse({"error_no": -2, "info": "你没有权限修改"})
if permission == 'superadmin':
modify_user = UserProfile.objects.get(username=modify_username)
modify_user.permission = perm
modify_user.save()
create_history_record(username,
"修改用户%s权限为%s" % (modify_user.username, modify_user.get_permission_display()))
return JsonResponse({"error_no": 0, "info": "Success"})
elif permission == 'admin':
company_id = user.company.id
modify_user = UserProfile.objects.get(username=modify_username, company_id=company_id)
modify_user.permission = perm
modify_user.save()
create_history_record(username,
"修改用户%s权限为%s" % (modify_user.username, modify_user.get_permission_display()))
return JsonResponse({"error_no": 0, "info": "Success"})
else:
return JsonResponse({"error_no": -2, "info": "你没有权限修改"})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def delete(self, request):
try:
username = request.META.get("HTTP_USERNAME")
delete_username = request.data.get("username")
admin_user = UserProfile.objects.get(username=username)
del_user = UserProfile.objects.get(username=delete_username)
admin_permission = admin_user.permission
del_user_permission = del_user.permission
if admin_permission == "superadmin" and (
del_user_permission != 'admin' or del_user_permission != 'superadmin'):
del_user.delete()
create_history_record(username, "删除用户" + delete_username)
return JsonResponse({"error_no": 0, "info": "Success"})
elif admin_permission == 'admin':
company_id = admin_user.company.id
del_user = UserProfile.objects.get(username=delete_username, company_id=company_id)
if del_user and del_user.permission != 'admin':
del_user.delete()
create_history_record(username, "删除用户" + delete_username)
return JsonResponse({"error_no": 0, "info": "Success"})
else:
return JsonResponse({"error_no": -3, "info": "该公司下没有此用户，或权限不足"})
else:
return JsonResponse({"error_no": -3, "info": "权限不足"})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
class CompanyApiView(APIView):
"""
共用公司管理等
仅超级管理员
"""
def get(self, request):
try:
username = request.META.get("HTTP_USERNAME")
user = UserProfile.objects.get(username=username)
permission = user.permission
data = list()
if permission == 'superadmin':
all_company = CompanyModel.objects.all().order_by('id')
for company in all_company:
admin_user = UserProfile.objects.filter(company=company)
admin = [u.username for u in admin_user]
data.append({
"id": company.id,
"company_name": company.company_name,
"contact": company.contact,
"phone": company.phone,
"status": company.company_status,
"admin": admin
})
create_history_record(username, "查询所有公司")
return JsonResponse({
"data": data,
"error_no": 0
})
else:
return JsonResponse({"error_no": -2, "info": "你没有权限"})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def post(self, request):
try:
username = request.META.get("HTTP_USERNAME")
user = UserProfile.objects.get(username=username)
permission = user.permission
if permission != "superadmin":
return JsonResponse({"error_no": -2, "info": "无权限"})
serializer = CompanySerializer(data=request.data)
phone = request.data["phone"]
if UserProfile.objects.filter(username=phone).count() > 0:
return JsonResponse({"error_no": -3, "info": "该电话号码的用户已经存在"})
if serializer.is_valid():
newcompany = serializer.save()
UserProfile.objects.create_user(username=phone, password=DEFAULT_PASSWORD, company=newcompany,
permission="admin")
create_history_record(username, "新建公司%s，管理员%s" % (newcompany.company_name, phone))
return JsonResponse({"error_no": 0, "info": "Success"})
return JsonResponse({"error_no": -2, "info": "新建公司失败"})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def put(self, request):
try:
username = request.META.get("HTTP_USERNAME")
user = UserProfile.objects.get(username=username)
permission = user.permission
if permission != "superadmin":
return JsonResponse({"error_no": -2, "info": "无权限"})
company_id = request.data.get("company_id")
company_name = request.data.get("company_name")
company_status = request.data.get("company_status")
contact = request.data.get("contact")
phone = request.data.get("phone")
company = CompanyModel.objects.get(id=company_id)
company.company_name = company_name
company.contact = contact
company.phone = phone
company.company_status = company_status
company.save()
create_history_record(username, "修改公司" + company.company_name)
return JsonResponse({"error_no": 0, "info": "Success"})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except CompanyModel.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个公司"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def delete(self, request):
try:
print('companyApi del')
username = request.META.get("HTTP_USERNAME")
user = UserProfile.objects.get(username=username)
permission = user.permission
if permission != "superadmin":
return JsonResponse({"error_no": -2, "info": "无权限"})
company_id = request.data['company_id']
company = CompanyModel.objects.get(id=company_id)
company.delete()
user = UserProfile.objects.filter(company=company_id)
user.delete()
create_history_record(username, "删除公司%s，用户%s" % (company.company_name, [u.username for u in user]))
return JsonResponse({"error_no": 0, "info": "Success"})
except CompanyModel.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个公司"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
class MessageApiView(APIView):
def get(self, request):
try:
username = request.META.get("HTTP_USERNAME")
all_message = Message.objects.filter(username__username=username)
message_ser = MessageSerializer(all_message, many=True)
return JsonResponse({
"error_no": 0,
"info": "Success",
"data": message_ser.data
})
except UserProfile.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个用户"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
def post(self, request):
try:
username = request.META.get("HTTP_USERNAME")
msg_id = request.data.get('msg_id')
all_read = request.data.get('all_read')
if all_read == "1" and not msg_id:
Message.objects.filter(username__username=username).update(has_read=True)
else:
message = Message.objects.get(username__username=username, id=msg_id)
message.has_read = True
message.save()
return JsonResponse({
"error_no": 0
})
except Message.DoesNotExist:
return JsonResponse({
"error_no": -2,
"info": "没有这个消息"
})
except Exception as e:
print(e)
return JsonResponse({
"error_no": -1,
"info": str(e)
})
class SystemStationView(LoginRequiredMixin, View):
def get(self, request):
permission = request.user.permission
print(permission)
if permission == 'superadmin':
all_station = StationInfo.objects.all()
else:
try:
company = request.user.company.company_name
# print(company)
except Exception as e:
print(e)
return HttpResponseRedirect(reverse('index'))
if company:
all_station = StationInfo.objects.filter(company__company_name=company)
else:
all_station = ""
create_history_record(request.user, '系统设置查询所有测站点')
return render(request, 'sys_station.html', {
"all_station": all_station,
})
# TODO 目前为全局设置，以后会绑定到站点上
class SystemSettingsView(LoginRequiredMixin, View):
def get(self, request, station_id):
permission = request.user.permission
print(permission)
if permission == 'superadmin':
try:
sys_settings = SystemSettings.objects.get(station_id=station_id)
except SystemSettings.DoesNotExist:
sys_settings = SystemSettings.objects.create(station_id=station_id, water_min_level=0,
water_max_level=0, flow_min_level=0, flow_max_level=0,
deviate_value=0, volt_value=0, is_alarm=0)
return render(request, 'sys_settings.html', {"sys_settings": sys_settings})
return render(request, 'sys_settings.html', {"sys_settings": sys_settings})
else:
try:
company = request.user.company.company_name
except Exception as e:
print(e)
return HttpResponseRedirect(reverse('sys_station'))
if company and StationInfo.objects.filter(id=station_id, company__company_name=company):
try:
sys_settings = SystemSettings.objects.get(station_id=station_id,
station__company__company_name=company)
except SystemSettings.DoesNotExist:
sys_settings = SystemSettings.objects.create(station_id=station_id, water_min_level=0,
water_max_level=0, flow_min_level=0, flow_max_level=0,
deviate_value=0, volt_value=0, is_alarm=0)
return render(request, 'sys_settings.html', {"sys_settings": sys_settings})
else:
return HttpResponseRedirect(reverse('sys_station'))
def post(self, request, station_id):
sys_id = request.POST.get('sys_id')
print(sys_id)
if sys_id:
sys_settings = SystemSettings.objects.get(id=sys_id)
settings_form = SystemSettingsForm(request.POST, instance=sys_settings)
if settings_form.is_valid():
settings_form.save()
create_history_record(request.user, "修改系统设置")
return JsonResponse({"status": "success", "msg": "修改设置成功"})
else:
print(settings_form.errors)
return JsonResponse({
"status": "fail",
"msg": "修改设置成功",
})
else:
settings_form = SystemSettingsForm(request.POST)
if settings_form.is_valid():
settings_form.save()
create_history_record(request.user, "设置系统设置")
return JsonResponse({"status": "success", "msg": "设置成功"})
else:
print(settings_form.errors)
return JsonResponse({
"status": "fail",
"msg": "设置失败",
})
| [
"[email protected]"
] | |
db6f9e619cc3eb6af96cb90589f32f741554459c | c78ce4f66cc964c230ad60fbf2ced6b4811eab89 | /0x10-python-network_0/6-peak.py | ab8163dbefd2215b422669954178d075b0be06a2 | [] | no_license | jebichii/holbertonschool-higher_level_programming-1 | 89026557909851dd775ae355f036db89ebd9adb9 | 741953aa479af90e8eac6f1315415eff4a20224f | refs/heads/master | 2023-03-15T14:58:27.062528 | 2020-06-11T07:21:23 | 2020-06-11T07:21:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | py | #!/usr/bin/python3
"""
Provides a function to find a peak element in an unsorted list of integers
"""
def find_peak(integers):
"""
Finds a peak element in an unsorted list of integers
"""
if not integers:
return None
if len(integers) == 1:
return integers[0]
if len(integers) == 2:
return integers[0] if integers[0] > integers[1] else integers[1]
midpoint = len(integers) // 2
if integers[midpoint] < integers[midpoint - 1]:
return find_peak(integers[:midpoint])
if integers[midpoint] < integers[midpoint + 1]:
return find_peak(integers[midpoint + 1:])
return integers[midpoint]
| [
"[email protected]"
] | |
d3644245fbb6e118e01fef312221feff42ab5904 | 892c35f72f46f145c3f3860c1c29f1f4503ef9a6 | /solid/management/commands/solid_utils.py | bf76df8227f11afddcb1cdf4ef3e92ed3ccaa1ab | [] | no_license | pymmrd/tuangou | aaa2b857e352f75f2ba0aa024d2880a6adac21a8 | 8f6a35dde214e809cdd6cbfebd8d913bafd68fb2 | refs/heads/master | 2021-01-10T20:31:55.238764 | 2013-11-13T13:53:53 | 2013-11-13T13:53:53 | 7,911,285 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 432 | py | import os
from django.conf import settings
def gen_dest_tmpl(html, tmpl, flag=None):
tmpl = tmpl.replace('dy_tags', 'tags')
sub_dir, filename = tmpl.rsplit('/', 1)
if flag:
filename = flag
tmpl_dir = os.path.join(settings.TEMPLATE_DIRS[0], sub_dir)
if not os.path.exists(tmpl_dir):
os.makedirs(tmpl_dir)
with open(os.path.join(tmpl_dir, filename), 'w') as f:
f.write(html)
| [
"zg163@zg163-Lenovo-IdeaPad-Y470.(none)"
] | zg163@zg163-Lenovo-IdeaPad-Y470.(none) |
e3ae61193e0a2880e6eb878f379a07f656630931 | a722faf9fb50c794555861bb4858c3ed8a7a25f3 | /contest/atcoder/abc095/D/main.py | 7f2f0044567a122b8832c3dbfb0972c08712b132 | [] | no_license | ar90n/lab | 31e5d2c320de5618bc37572011596fee8923255d | 6d035e12f743e9ba984e79bfe660967b9ca8716b | refs/heads/main | 2023-07-25T17:29:57.960915 | 2023-07-22T12:08:18 | 2023-07-22T12:08:18 | 77,883,405 | 4 | 0 | null | 2023-07-17T08:45:14 | 2017-01-03T04:15:49 | Jupyter Notebook | UTF-8 | Python | false | false | 1,428 | py | #!/usr/bin/env python3
import sys
from collections.abc import Iterable
from math import *
from itertools import *
from collections import *
from functools import *
from operator import *
try:
from math import gcd
except Exception:
from fractions import gcd
def solve(N: int, C: int, x: "List[int]", v: "List[int]"):
x = [0] + x
v = [0] + v
mx_r = [0]
for xx, acc in zip(x[1:], accumulate(v[1:], add)):
mx_r.append(max(acc - xx, mx_r[-1]))
mx_l = [0]
for xx, cal in zip(reversed(x), accumulate(reversed(v), add)):
mx_l.append(max(cal - (C - xx), mx_l[-1]))
mx_l.reverse()
ans = 0
for i in range(N+1):
ans = max(mx_r[i], mx_r[i] - x[i] + mx_l[i+1], ans)
if i != 0:
ans = max(mx_l[i], mx_l[i] - (C - x[i]) + mx_r[i-1], ans)
return ans
def main():
def iterate_tokens():
for line in sys.stdin:
for word in line.split():
yield word
tokens = iterate_tokens()
N = int(next(tokens)) # type: int
C = int(next(tokens)) # type: int
x = [int()] * (N) # type: "List[int]"
v = [int()] * (N) # type: "List[int]"
for i in range(N):
x[i] = int(next(tokens))
v[i] = int(next(tokens))
result = solve(N, C, x, v)
if isinstance(result, Iterable):
result = '\n'.join([str(v) for v in result])
print(result)
if __name__ == '__main__':
main()
| [
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] | |
5edbe851415c7f12fe01314ef03eec162a7e5354 | 1afa1b1929d1cd463cd9970174dd58ce2ca6eb1e | /configs/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug.py | 9e3cd3501becb0dd284113d675963a2c474b247b | [
"Apache-2.0"
] | permissive | CAU-HE/CMCDNet | 2328594bf4b883384c691099c72e119b65909121 | 31e660f81f3b625916a4c4d60cd606dcc8717f81 | refs/heads/main | 2023-08-08T17:21:57.199728 | 2023-07-28T07:34:40 | 2023-07-28T07:34:40 | 589,927,845 | 12 | 1 | null | null | null | null | UTF-8 | Python | false | false | 140 | py | _base_ = './deeplabv3plus_r50-d8_512x512_40k_voc12aug.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
| [
"[email protected]"
] | |
f925b0bbc8dff7cade5763ea534cd301ea570730 | d36471a481ff0ff71aa277d14928a48db9b6140b | /melons.py | 1ecfacead0e3930d7b11d129e6adb944e4fa10f5 | [] | no_license | Quynhd07/melons-classes | ca0e47f694cc6337136ca2431f7a856e9135b3ea | f668d5fd97dd7c3a37bd26bbfe2310324fdd388c | refs/heads/master | 2020-12-30T00:40:33.897567 | 2020-02-07T21:05:17 | 2020-02-07T21:05:17 | 238,799,803 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,309 | py | """Classes for melon orders."""
class AbstractMelonOrder():
"""An abstract base class that other Melon Orders inherit from."""
def __init__(self, species, qty):
"""Initialize melon order attributes."""
self.species = species
self.qty = qty
self.shipped = False
def get_total(self):
"""Calculate price, including tax."""
base_price = 5
# if species == christmas melons
if self.species == "Christmas melons":
# multiple base price by 1.5
base_price = base_price * 1.5
total = (1 + self.tax) * self.qty * base_price
return total
def mark_shipped(self):
"""Record the fact than an order has been shipped."""
self.shipped = True
class DomesticMelonOrder(AbstractMelonOrder):
"""A melon order within the USA."""
def __init__(self, species, qty):
"""Initialize melon order attributes."""
super().__init__(species, qty)
self.order_type = "domestic"
self.tax = 0.08
class InternationalMelonOrder(AbstractMelonOrder):
"""An international (non-US) melon order."""
def __init__(self, species, qty, country_code):
"""Initialize melon order attributes."""
super().__init__(species, qty, country_code)
self.country_code = country_code
self.order_type = "international"
self.tax = .15
def get_country_code(self):
"""Return the country code."""
return self.country_code
def get_total(self):
total = super().get_total()
# base_price = 5
# if species == christmas melons
# if self.species == "Christmas melons":
# # multiple base price by 1.5
# base_price = base_price * 1.5
if self.qty < 10:
flat_fee = 3
total = total + flat_fee
return total
class GovernmentMelonOrder(AbstractMelonOrder):
def __init__(self, species, qty):
"""Initialize melon order attributes."""
super().__init__(species, qty)
self.passed_inspection = False
self.tax = 1
# create mark_inspection method
def mark_inspection(self, bool):
if bool == 'passed':
self.passed_inspection = True
return self.passed_inspection
| [
"[email protected]"
] | |
2d283c29a7787686b4bcf6f95235d830ff3d30c7 | 2359121ebcebba9db2cee20b4e8f8261c5b5116b | /configs/d4_16.py | 9cb1b39825a598c084e3817351bc0cf9c8b9f6e7 | [] | no_license | EliasVansteenkiste/plnt | 79840bbc9f1518c6831705d5a363dcb3e2d2e5c2 | e15ea384fd0f798aabef04d036103fe7af3654e0 | refs/heads/master | 2021-01-20T00:34:37.275041 | 2017-07-20T18:03:08 | 2017-07-20T18:03:08 | 89,153,531 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 11,394 | py |
#config a6 is equivalent to a5, except the normalization
import numpy as np
import lasagne as nn
from collections import namedtuple
from functools import partial
import lasagne.layers.dnn as dnn
import lasagne
import theano.tensor as T
import data_transforms
import data_iterators
import pathfinder
import utils
import app
import nn_planet
restart_from_save = None
rng = np.random.RandomState(42)
# transformations
p_transform = {'patch_size': (256, 256),
'channels': 4,
'n_labels': 1,
'n_feat': 64,
'label_id': 16}
#only lossless augmentations
p_augmentation = {
'rot90_values': [0,1,2,3],
'flip': [0, 1]
}
# data preparation function
def data_prep_function_train(x, p_transform=p_transform, p_augmentation=p_augmentation, **kwargs):
x = np.array(x)
x = np.swapaxes(x,0,2)
x = x / 255.
x = x.astype(np.float32)
x = data_transforms.lossless(x, p_augmentation, rng)
return x
def data_prep_function_valid(x, p_transform=p_transform, **kwargs):
x = np.array(x)
x = np.swapaxes(x,0,2)
x = x / 255.
x = x.astype(np.float32)
return x
def label_prep_function(label):
return label[p_transform['label_id']]
# data iterators
# 0.18308259
batch_size = 3
pos_batch_size = 2
neg_batch_size = 1
assert batch_size == (pos_batch_size+neg_batch_size)
nbatches_chunk = 1
chunk_size = batch_size * nbatches_chunk
folds = app.make_stratified_split(no_folds=5)
print len(folds)
train_ids = folds[0] + folds[1] + folds[2] + folds[3]
valid_ids = folds[4]
all_ids = folds[0] + folds[1] + folds[2] + folds[3] + folds[4]
bad_ids = []
train_ids = [x for x in train_ids if x not in bad_ids]
valid_ids = [x for x in valid_ids if x not in bad_ids]
test_ids = np.arange(40669)
test2_ids = np.arange(20522)
train_data_iterator = data_iterators.DiscriminatorDataGenerator(dataset='train-jpg',
batch_size=batch_size,
pos_batch_size=pos_batch_size,
label_id = p_transform['label_id'],
img_ids = train_ids,
p_transform=p_transform,
data_prep_fun = data_prep_function_train,
label_prep_fun = label_prep_function,
rng=rng,
full_batch=True, random=True, infinite=True)
feat_data_iterator = data_iterators.DataGenerator(dataset='train-jpg',
batch_size=batch_size,
pos_batch_size=pos_batch_size,
img_ids = train_ids,
p_transform=p_transform,
data_prep_fun = data_prep_function_train,
label_prep_fun = label_prep_function,
rng=rng,
full_batch=False, random=False, infinite=False)
valid_data_iterator = data_iterators.DiscriminatorDataGenerator(dataset='train-jpg',
batch_size=batch_size,
pos_batch_size=pos_batch_size,
label_id = p_transform['label_id'],
img_ids = valid_ids,
p_transform=p_transform,
data_prep_fun = data_prep_function_train,
label_prep_fun = label_prep_function,
rng=rng,
full_batch=True, random=False, infinite=False)
test_data_iterator = data_iterators.DataGenerator(dataset='test-jpg',
batch_size=batch_size,
pos_batch_size=pos_batch_size,
img_ids = test_ids,
p_transform=p_transform,
data_prep_fun = data_prep_function_valid,
label_prep_fun = label_prep_function,
rng=rng,
full_batch=False, random=False, infinite=False)
test2_data_iterator = data_iterators.DataGenerator(dataset='test2-jpg',
batch_size=batch_size,
pos_batch_size=pos_batch_size,
img_ids = test2_ids,
p_transform=p_transform,
data_prep_fun = data_prep_function_valid,
label_prep_fun = label_prep_function,
rng=rng,
full_batch=False, random=False, infinite=False)
nchunks_per_epoch = train_data_iterator.nsamples / chunk_size
max_nchunks = nchunks_per_epoch * 40
validate_every = int(0.1 * nchunks_per_epoch)
save_every = int(1. * nchunks_per_epoch)
learning_rate_schedule = {
0: 5e-4,
int(max_nchunks * 0.4): 2e-4,
int(max_nchunks * 0.6): 1e-4,
int(max_nchunks * 0.7): 5e-5,
int(max_nchunks * 0.8): 2e-5,
int(max_nchunks * 0.9): 1e-5
}
# model
conv = partial(dnn.Conv2DDNNLayer,
filter_size=3,
pad='same',
W=nn.init.Orthogonal(),
nonlinearity=nn.nonlinearities.very_leaky_rectify)
max_pool = partial(dnn.MaxPool2DDNNLayer,
pool_size=2)
drop = lasagne.layers.DropoutLayer
dense = partial(lasagne.layers.DenseLayer,
W=lasagne.init.Orthogonal(),
nonlinearity=lasagne.nonlinearities.very_leaky_rectify)
def inrn_v2(lin, last_layer_nonlin = lasagne.nonlinearities.rectify):
n_base_filter = 32
l1 = conv(lin, n_base_filter, filter_size=1)
l2 = conv(lin, n_base_filter, filter_size=1)
l2 = conv(l2, n_base_filter, filter_size=3)
l3 = conv(lin, n_base_filter, filter_size=1)
l3 = conv(l3, n_base_filter, filter_size=3)
l3 = conv(l3, n_base_filter, filter_size=3)
l = lasagne.layers.ConcatLayer([l1, l2, l3])
l = conv(l, lin.output_shape[1], filter_size=1)
l = lasagne.layers.ElemwiseSumLayer([l, lin])
l = lasagne.layers.NonlinearityLayer(l, nonlinearity= last_layer_nonlin)
return l
def inrn_v2_red(lin):
# We want to reduce our total volume /4
den = 16
nom2 = 4
nom3 = 5
nom4 = 7
ins = lin.output_shape[1]
l1 = max_pool(lin)
l2 = conv(lin, ins // den * nom2, filter_size=3, stride=2)
l3 = conv(lin, ins // den * nom2, filter_size=1)
l3 = conv(l3, ins // den * nom3, filter_size=3, stride=2)
l4 = conv(lin, ins // den * nom2, filter_size=1)
l4 = conv(l4, ins // den * nom3, filter_size=3)
l4 = conv(l4, ins // den * nom4, filter_size=3, stride=2)
l = lasagne.layers.ConcatLayer([l1, l2, l3, l4])
return l
def feat_red(lin):
# We want to reduce the feature maps by a factor of 2
ins = lin.output_shape[1]
l = conv(lin, ins // 2, filter_size=1)
return l
def build_model():
l_in = nn.layers.InputLayer((None, p_transform['channels'],) + p_transform['patch_size'])
l_target = nn.layers.InputLayer((None,))
l = conv(l_in, 64)
l = inrn_v2_red(l)
l = inrn_v2(l)
l = inrn_v2_red(l)
l = inrn_v2(l)
l = inrn_v2_red(l)
l = inrn_v2(l)
# l = inrn_v2_red(l)
# l = inrn_v2(l)
# l = inrn_v2_red(l)
# l = inrn_v2(l)
l = drop(l)
l_neck = nn.layers.GlobalPoolLayer(l)
l_out = nn.layers.DenseLayer(l_neck, num_units=p_transform['n_feat'],
W=nn.init.Orthogonal(),
nonlinearity=nn.nonlinearities.identity)
return namedtuple('Model', ['l_in', 'l_out', 'l_neck', 'l_target'])(l_in, l_out, l_neck, l_target)
def build_objective(model, deterministic=False, epsilon=1.e-7):
features= nn.layers.get_output(model.l_out, deterministic=deterministic)
targets = T.cast(T.flatten(nn.layers.get_output(model.l_target)), 'int32')
#feat = T.nnet.nnet.sigmoid(features)
feat = features
df = T.sum(abs(feat.dimshuffle(['x',0,1]) - feat.dimshuffle([0,'x',1])), axis=2)
d_p = df[0,1]
d_n1 = df[0,2]
d_n2 = df[1,2]
d_n = T.min(T.stack([d_n1, d_n2]))
margin = np.float32(1.)
zero = np.float32(0.)
triplet_dist_hinge = T.max(T.stack([margin + d_p - d_n, zero]))
return triplet_dist_hinge
def build_objective2(model, deterministic=False, epsilon=1.e-7):
features= nn.layers.get_output(model.l_out, deterministic=deterministic)
targets = T.cast(T.flatten(nn.layers.get_output(model.l_target)), 'int32')
#feat = T.nnet.nnet.sigmoid(features)
feat = features
df = T.sum(abs(feat.dimshuffle(['x',0,1]) - feat.dimshuffle([0,'x',1])), axis=2)
d_p = df[0,1]
d_n1 = df[0,2]
d_n2 = df[1,2]
d_n = T.min(T.stack([d_n1, d_n2]))
margin = np.float32(1.)
zero = np.float32(0.)
triplet_dist_hinge = T.max(T.stack([margin + d_p - d_n, zero]))
return triplet_dist_hinge
# features= nn.layers.get_output(model.l_out, deterministic=deterministic)
# targets = T.cast(T.flatten(nn.layers.get_output(model.l_target)), 'int32')
# #feat = T.nnet.nnet.sigmoid(features)
# feat = features
# df = T.mean((feat.dimshuffle(['x',0,1]) - feat.dimshuffle([0,'x',1]))**2, axis=2)
# d_p = df[0,1]
# d_n1 = df[0,2]
# d_n2 = df[1,2]
# d_n = T.min(T.stack([d_n1, d_n2]))
# margin = np.float32(1.)
# zero = np.float32(0.)
# triplet_dist_hinge = T.max(T.stack([margin + d_p - d_n, zero]))
# return d_n
def sigmoid(x):
s = 1. / (1. + np.exp(-x))
return s
def score(gts, feats):
feats = np.vstack(feats)
gts = np.vstack(gts)
gts = np.int32(gts)
feats = sigmoid(feats)
df = np.mean(np.abs(feats[None,:,:] - feats[:,None,:]), axis=2)
gt = gts > 0.5
gt = gt.flatten()
non_gt = gts < 0.5
non_gt = non_gt.flatten()
df_pp = df[gt]
df_pp = df_pp[:,gt]
df_np = df[non_gt, :]
df_np = df_np[:, gt]
preds_p = 1-np.mean(df_pp,axis=1)
preds_n = 1-np.mean(df_np,axis=1)
treshold = 0.5
tp = np.sum(preds_p>treshold)
fp = np.sum(preds_n>treshold)
fn = np.sum(preds_p<treshold)
return np.array([tp, fp, fn])
test_score = score
def build_updates(train_loss, model, learning_rate):
updates = nn.updates.adam(train_loss, nn.layers.get_all_params(model.l_out, trainable=True), learning_rate)
return updates
| [
"[email protected]"
] | |
c0a323d6563dda7c8ac2b49d827352f6379ba03d | caed98915a93639e0a56b8296c16e96c7d9a15ab | /DP/stocks/Stock_II.py | 5ec46fcd78856a48fdfcf6ebdb61c059e7384e15 | [] | no_license | PiyushChandra17/365-Days-Of-LeetCode | 0647787ec7e8f1baf10b6bfc687bba06f635838c | 7e9e9d146423ca2c5b1c6a3831f21dd85fa376d5 | refs/heads/main | 2023-02-13T10:41:36.110303 | 2021-01-17T11:58:51 | 2021-01-17T11:58:51 | 319,974,573 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | class Solution:
def maxProfit(self, prices: List[int]) -> int:
return sum(max(prices[i+1]-prices[i],0)for i in range(len(prices)-1))
| [
"[email protected]"
] | |
5acd1660ba5455bc1084047dc66d3485dde5efb6 | fb9c24e1e27c930881f54a0d609683983c726cec | /main/migrations/0032_auto_20210326_1139.py | 9fac8da7459eaeeeeff9e17fe2d1e1408b18388e | [] | no_license | Safintim/flower-shop | 6ba28f3f82912bcedd8c7d1e259557cda729410e | 92c0b7488b5370fc5512d6ce85f0e76a2a55bdbd | refs/heads/master | 2023-04-08T18:48:43.866959 | 2021-04-14T10:18:06 | 2021-04-14T10:18:06 | 254,976,051 | 0 | 0 | null | 2020-06-06T08:55:36 | 2020-04-11T23:50:58 | Python | UTF-8 | Python | false | false | 371 | py | # Generated by Django 3.1.7 on 2021-03-26 11:39
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('main', '0031_auto_20210326_1118'),
]
operations = [
migrations.DeleteModel(
name='Callback',
),
migrations.DeleteModel(
name='Configuration',
),
]
| [
"[email protected]"
] | |
6895432cdb44dcd345003bed6d3af69f1745cbce | 2c7f99ff86d1786d133df13a630d62e7dcc63fab | /google/cloud/dialogflow_v2/services/conversation_profiles/transports/base.py | 5768948c216410b18bbda0988ae8fa09340f5c83 | [
"Apache-2.0"
] | permissive | rlindao/python-dialogflow | 2141b7181506210c6cfffb27bb9599ad21261c28 | 8958e562bb159b00bb1fc0fa97e5ffd35dea058d | refs/heads/master | 2023-04-06T15:09:14.888871 | 2021-04-16T21:34:24 | 2021-04-16T21:34:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,312 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# 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.
#
import abc
import typing
import pkg_resources
from google import auth # type: ignore
from google.api_core import exceptions # type: ignore
from google.api_core import gapic_v1 # type: ignore
from google.api_core import retry as retries # type: ignore
from google.auth import credentials # type: ignore
from google.cloud.dialogflow_v2.types import conversation_profile
from google.cloud.dialogflow_v2.types import (
conversation_profile as gcd_conversation_profile,
)
from google.protobuf import empty_pb2 as empty # type: ignore
try:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=pkg_resources.get_distribution(
"google-cloud-dialogflow",
).version,
)
except pkg_resources.DistributionNotFound:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()
class ConversationProfilesTransport(abc.ABC):
"""Abstract transport class for ConversationProfiles."""
AUTH_SCOPES = (
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/dialogflow",
)
def __init__(
self,
*,
host: str = "dialogflow.googleapis.com",
credentials: credentials.Credentials = None,
credentials_file: typing.Optional[str] = None,
scopes: typing.Optional[typing.Sequence[str]] = AUTH_SCOPES,
quota_project_id: typing.Optional[str] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
**kwargs,
) -> None:
"""Instantiate the transport.
Args:
host (Optional[str]): The hostname to connect to.
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the application to the service; if none
are specified, the client will attempt to ascertain the
credentials from the environment.
credentials_file (Optional[str]): A file with credentials that can
be loaded with :func:`google.auth.load_credentials_from_file`.
This argument is mutually exclusive with credentials.
scope (Optional[Sequence[str]]): A list of scopes.
quota_project_id (Optional[str]): An optional project to use for billing
and quota.
client_info (google.api_core.gapic_v1.client_info.ClientInfo):
The client info used to send a user-agent string along with
API requests. If ``None``, then default info will be used.
Generally, you only need to set this if you're developing
your own client library.
"""
# Save the hostname. Default to port 443 (HTTPS) if none is specified.
if ":" not in host:
host += ":443"
self._host = host
# Save the scopes.
self._scopes = scopes or self.AUTH_SCOPES
# If no credentials are provided, then determine the appropriate
# defaults.
if credentials and credentials_file:
raise exceptions.DuplicateCredentialArgs(
"'credentials_file' and 'credentials' are mutually exclusive"
)
if credentials_file is not None:
credentials, _ = auth.load_credentials_from_file(
credentials_file, scopes=self._scopes, quota_project_id=quota_project_id
)
elif credentials is None:
credentials, _ = auth.default(
scopes=self._scopes, quota_project_id=quota_project_id
)
# Save the credentials.
self._credentials = credentials
def _prep_wrapped_messages(self, client_info):
# Precompute the wrapped methods.
self._wrapped_methods = {
self.list_conversation_profiles: gapic_v1.method.wrap_method(
self.list_conversation_profiles,
default_timeout=None,
client_info=client_info,
),
self.get_conversation_profile: gapic_v1.method.wrap_method(
self.get_conversation_profile,
default_timeout=None,
client_info=client_info,
),
self.create_conversation_profile: gapic_v1.method.wrap_method(
self.create_conversation_profile,
default_timeout=None,
client_info=client_info,
),
self.update_conversation_profile: gapic_v1.method.wrap_method(
self.update_conversation_profile,
default_timeout=None,
client_info=client_info,
),
self.delete_conversation_profile: gapic_v1.method.wrap_method(
self.delete_conversation_profile,
default_timeout=None,
client_info=client_info,
),
}
@property
def list_conversation_profiles(
self,
) -> typing.Callable[
[conversation_profile.ListConversationProfilesRequest],
typing.Union[
conversation_profile.ListConversationProfilesResponse,
typing.Awaitable[conversation_profile.ListConversationProfilesResponse],
],
]:
raise NotImplementedError()
@property
def get_conversation_profile(
self,
) -> typing.Callable[
[conversation_profile.GetConversationProfileRequest],
typing.Union[
conversation_profile.ConversationProfile,
typing.Awaitable[conversation_profile.ConversationProfile],
],
]:
raise NotImplementedError()
@property
def create_conversation_profile(
self,
) -> typing.Callable[
[gcd_conversation_profile.CreateConversationProfileRequest],
typing.Union[
gcd_conversation_profile.ConversationProfile,
typing.Awaitable[gcd_conversation_profile.ConversationProfile],
],
]:
raise NotImplementedError()
@property
def update_conversation_profile(
self,
) -> typing.Callable[
[gcd_conversation_profile.UpdateConversationProfileRequest],
typing.Union[
gcd_conversation_profile.ConversationProfile,
typing.Awaitable[gcd_conversation_profile.ConversationProfile],
],
]:
raise NotImplementedError()
@property
def delete_conversation_profile(
self,
) -> typing.Callable[
[conversation_profile.DeleteConversationProfileRequest],
typing.Union[empty.Empty, typing.Awaitable[empty.Empty]],
]:
raise NotImplementedError()
__all__ = ("ConversationProfilesTransport",)
| [
"[email protected]"
] | |
0b9347644b1ad62f3f1deb8668c660a135c70885 | e89509b453632747077bc57dbec265a7703d5c7c | /list/listappend.py | a2ddb719341f157c2047747bdda0aa142f51df03 | [] | no_license | Madhav2108/udemy-python-as | a9dcfdbfdc1bb85471aa66de77957e962a7c5486 | 0bc6a501516618fb3c7ab10be6bc16c047aeec3f | refs/heads/master | 2023-03-30T11:25:16.064592 | 2021-03-30T18:10:46 | 2021-03-30T18:10:46 | 286,001,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 572 | py | List = []
print(List)
List.append(1)
List.append(2)
List.append(4)
print(List)
for i in range(1, 4):
List.append(i)
print(List)
List.append((5, 6))
print(List)
List2 = ['For', 'Geeks']
List.append(List2)
print(List)
List.insert(3, 12)
List.insert(0, 'Geeks')
print(List)
List.extend([8, 'Geeks', 'Always'])
print(List)
List.remove(8)
List.remove(12)
print(List)
List.pop()
print(List)
List.pop(2)
print(List)
Sliced_List = List[::-1]
print("\nPrinting List in reverse: ")
print(Sliced_List)
list.sort()
print(list)
| [
"[email protected]"
] | |
1ac4822dd02e34f946f4183122d8a6b5ec804d02 | ba949e02c0f4a7ea0395a80bdc31ed3e5f5fcd54 | /problems/greedy/Solution678.py | f37f62721d5aa37063dd666a0d011a7ac22e9daa | [
"MIT"
] | permissive | akaliutau/cs-problems-python | 6bc0a74064f6e9687fe58b13763da1fdf2e1f626 | 9b1bd8e3932be62135a38a77f955ded9a766b654 | refs/heads/master | 2023-05-11T22:19:06.711001 | 2021-06-04T11:14:42 | 2021-06-04T11:14:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,937 | py | """ Given a string containing only three types of characters: '(', ')' and '*',
write a function to check whether trightBoundarys string is valid. We define
the validity of a string by these rules:
Any left parenthesis '(' must have a corresponding right parenthesis ')'. Any
right parenthesis ')' must have a corresponding left parenthesis '('. Left
parenthesis '(' must go before the corresponding right parenthesis ')'. '*'
could be treated as a single right parenthesis ')' or a single left
parenthesis '(' or an empty string. An empty string is also valid.
Example 1: Input: "()" Output: True
( * ) )
l 1 0 -1 -2
t 1 2 1 0
When checking whether the string is valid, we only cared about the "balance":
the number of extra, open left brackets as we parsed through the string. For
example, when checking whether '(()())' is valid, we had a balance of 1, 2,
1, 2, 1, 0 as we parse through the string: '(' has 1 left bracket, '((' has
2, '(()' has 1, and so on. This means that after parsing the first i symbols,
(which may include asterisks,) we only need to keep track of what the balance
could be.
For example, if we have string '(***)', then as we parse each symbol, the set
of possible values for the balance is
[1] for '(';
[0, 1, 2] for '(*';
[0, 1, 2, 3] for '(**';
[0, 1, 2, 3, 4] for '(***', and
[0, 1, 2, 3] for '(***)'.
Furthermore, we can prove these states always form a contiguous interval.
Thus, we only need to know the left and right bounds of this interval. That
is, we would keep those intermediate states described above as [lo, hi] = [1,
1], [0, 2], [0, 3], [0, 4], [0, 3].
Algorithm
Let lo, hi respectively be the smallest and largest possible number of open
left brackets after processing the current character in the string.
"""
class Solution678:
pass
| [
"[email protected]"
] | |
9ea9323c06957ea63a4699fe72b9431a47cd9117 | e35fd52fe4367320024a26f2ee357755b5d5f4bd | /leetcode/problems/313.super-ugly-number.py | 704a9e40a9a97991c2693e51d1623cb6c3511bc7 | [] | no_license | liseyko/CtCI | a451967b0a0ce108c491d30b81e88d20ad84d2cd | c27f19fac14b4acef8c631ad5569e1a5c29e9e1f | refs/heads/master | 2020-03-21T14:28:47.621481 | 2019-11-12T22:59:07 | 2019-11-12T22:59:07 | 138,658,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,017 | py | #
# @lc app=leetcode id=313 lang=python3
#
# [313] Super Ugly Number
#
# https://leetcode.com/problems/super-ugly-number/description/
#
# algorithms
# Medium (43.02%)
# Total Accepted: 67.2K
# Total Submissions: 156.3K
# Testcase Example: '12\n[2,7,13,19]'
#
# Write a program to find the n^th super ugly number.
#
# Super ugly numbers are positive numbers whose all prime factors are in the
# given prime list primes of size k.
#
# Example:
#
#
# Input: n = 12, primes = [2,7,13,19]
# Output: 32
# Explanation: [1,2,4,7,8,13,14,16,19,26,28,32] is the sequence of the first
# 12
# super ugly numbers given primes = [2,7,13,19] of size 4.
#
# Note:
#
#
# 1 is a super ugly number for any given primes.
# The given numbers in primes are in ascending order.
# 0 < k ≤ 100, 0 < n ≤ 10^6, 0 < primes[i] < 1000.
# The n^th super ugly number is guaranteed to fit in a 32-bit signed integer.
#
#
#
class Solution:
def nthSuperUglyNumber(self, n: int, primes: List[int]) -> int:
| [
"[email protected]"
] | |
81f2637a8ed5c8510fcc5945d5235d911e45462f | 7c68212791621363da7f007b1ef449597937d20c | /day_1/operator_shorthand.py | 7070ebe9f8fe49ba7490762189795e3db53c65f3 | [
"MIT"
] | permissive | anishLearnsToCode/python-workshop-8 | c1ad5c2f06b435b612acc28544180b47c86fb24f | 0f64bfa7cf175283181b6e7f51a5e3b80d4b6b60 | refs/heads/main | 2023-02-07T11:55:48.372944 | 2021-01-03T08:41:33 | 2021-01-03T08:41:33 | 325,730,441 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 184 | py | # variable [operator]= var_2 / value
# i = i + 1 --> i += 1
# result = result + i --> result += i
# var /= 5 --> var = var / 5
# i *= 3--> i = i * 3
# prod %= 10 --> prod = prod % 10
| [
"[email protected]"
] | |
33fbb86f0c1d4774178156a30d673684559ba579 | ced56909016fb7c2175c3911fc8481bd5fdf0800 | /pytext/metric_reporters/disjoint_multitask_metric_reporter.py | 83d419bc152137138df46faa0ff3715e14e05512 | [
"BSD-3-Clause"
] | permissive | coderbyr/pytext | e258a3aae625e6a2fd386b60f25ac44a7b4149fe | 72c1ad835a30bef425494b02a6210f2e3232b1a4 | refs/heads/master | 2022-11-20T09:11:44.991716 | 2020-07-20T22:05:42 | 2020-07-20T22:07:15 | 281,286,078 | 1 | 0 | NOASSERTION | 2020-07-21T03:32:42 | 2020-07-21T03:32:41 | null | UTF-8 | Python | false | false | 4,013 | py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Dict, Optional
from pytext.common.constants import BatchContext
from .metric_reporter import MetricReporter
AVRG_LOSS = "_avrg_loss"
class DisjointMultitaskMetricReporter(MetricReporter):
lower_is_better = False
class Config(MetricReporter.Config):
use_subtask_select_metric: bool = False
def __init__(
self,
reporters: Dict[str, MetricReporter],
loss_weights: Dict[str, float],
target_task_name: Optional[str],
use_subtask_select_metric: bool,
) -> None:
"""Short summary.
Args:
reporters (Dict[str, MetricReporter]):
Dictionary of sub-task metric-reporters.
target_task_name (Optional[str]):
Dev metric for this task will be used to select best epoch.
Returns:
None: Description of returned object.
"""
super().__init__(None)
self.reporters = reporters
self.target_task_name = target_task_name or ""
self.target_reporter = self.reporters.get(self.target_task_name, None)
self.loss_weights = loss_weights
self.use_subtask_select_metric = use_subtask_select_metric
def _reset(self):
self.total_loss = 0
self.num_batches = 0
def batch_context(self, raw_batch, batch):
context = {BatchContext.TASK_NAME: batch[BatchContext.TASK_NAME]}
reporter = self.reporters[context[BatchContext.TASK_NAME]]
context.update(reporter.batch_context(raw_batch, batch))
return context
def add_batch_stats(
self, n_batches, preds, targets, scores, loss, m_input, **context
):
self.total_loss += loss
self.num_batches += 1
# losses are weighted in DisjointMultitaskModel. Here we undo the
# weighting for proper reporting.
if self.loss_weights[context[BatchContext.TASK_NAME]] != 0:
loss /= self.loss_weights[context[BatchContext.TASK_NAME]]
reporter = self.reporters[context[BatchContext.TASK_NAME]]
reporter.add_batch_stats(
n_batches, preds, targets, scores, loss, m_input, **context
)
def add_channel(self, channel):
for reporter in self.reporters.values():
reporter.add_channel(channel)
def report_metric(
self,
model,
stage,
epoch,
reset=True,
print_to_channels=True,
optimizer=None,
privacy_engine=None,
):
metrics_dict = {AVRG_LOSS: self.total_loss / self.num_batches}
for name, reporter in self.reporters.items():
print(f"Reporting on task: {name}")
metrics_dict[name] = reporter.report_metric(
model, stage, epoch, reset, print_to_channels, optimizer=optimizer
)
if reset:
self._reset()
if self.target_reporter:
return metrics_dict[self.target_task_name]
for name, reporter in self.reporters.items():
metrics_dict[name] = reporter.get_model_select_metric(metrics_dict[name])
return metrics_dict
def get_model_select_metric(self, metrics):
if self.target_reporter:
metric = self.target_reporter.get_model_select_metric(metrics)
if self.target_reporter.lower_is_better:
metric = -metric
elif self.use_subtask_select_metric:
metric = 0.0
for name, reporter in self.reporters.items():
sub_metric = metrics[name]
if reporter.lower_is_better:
sub_metric = -sub_metric
metric += sub_metric
else: # default to training loss
metric = -metrics[AVRG_LOSS]
return metric
def report_realtime_metric(self, stage):
for _, reporter in self.reporters.items():
reporter.report_realtime_metric(stage)
| [
"[email protected]"
] | |
a566a7e2e4d20ec72b89062af4c532ed1123f14f | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-hss/huaweicloudsdkhss/v5/model/list_port_statistics_response.py | 13b10f29de59c0c0d34e2530004b515adf013fcb | [
"Apache-2.0"
] | permissive | huaweicloud/huaweicloud-sdk-python-v3 | cde6d849ce5b1de05ac5ebfd6153f27803837d84 | f69344c1dadb79067746ddf9bfde4bddc18d5ecf | refs/heads/master | 2023-09-01T19:29:43.013318 | 2023-08-31T08:28:59 | 2023-08-31T08:28:59 | 262,207,814 | 103 | 44 | NOASSERTION | 2023-06-22T14:50:48 | 2020-05-08T02:28:43 | Python | UTF-8 | Python | false | false | 4,349 | py | # coding: utf-8
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class ListPortStatisticsResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_types = {
'total_num': 'int',
'data_list': 'list[PortStatisticResponseInfo]'
}
attribute_map = {
'total_num': 'total_num',
'data_list': 'data_list'
}
def __init__(self, total_num=None, data_list=None):
"""ListPortStatisticsResponse
The model defined in huaweicloud sdk
:param total_num: 开放端口总数
:type total_num: int
:param data_list: 开放端口统计信息列表
:type data_list: list[:class:`huaweicloudsdkhss.v5.PortStatisticResponseInfo`]
"""
super(ListPortStatisticsResponse, self).__init__()
self._total_num = None
self._data_list = None
self.discriminator = None
if total_num is not None:
self.total_num = total_num
if data_list is not None:
self.data_list = data_list
@property
def total_num(self):
"""Gets the total_num of this ListPortStatisticsResponse.
开放端口总数
:return: The total_num of this ListPortStatisticsResponse.
:rtype: int
"""
return self._total_num
@total_num.setter
def total_num(self, total_num):
"""Sets the total_num of this ListPortStatisticsResponse.
开放端口总数
:param total_num: The total_num of this ListPortStatisticsResponse.
:type total_num: int
"""
self._total_num = total_num
@property
def data_list(self):
"""Gets the data_list of this ListPortStatisticsResponse.
开放端口统计信息列表
:return: The data_list of this ListPortStatisticsResponse.
:rtype: list[:class:`huaweicloudsdkhss.v5.PortStatisticResponseInfo`]
"""
return self._data_list
@data_list.setter
def data_list(self, data_list):
"""Sets the data_list of this ListPortStatisticsResponse.
开放端口统计信息列表
:param data_list: The data_list of this ListPortStatisticsResponse.
:type data_list: list[:class:`huaweicloudsdkhss.v5.PortStatisticResponseInfo`]
"""
self._data_list = data_list
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
import simplejson as json
if six.PY2:
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
def __repr__(self):
"""For `print`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ListPortStatisticsResponse):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| [
"[email protected]"
] | |
3eab1b761be0160d622ff707caaff063326f4b71 | 6c5ce1e621e0bd140d127527bf13be2093f4a016 | /ex021/venv/Scripts/easy_install-3.7-script.py | e7deca8d0b6f3b28588ce8d8072d461ed000115f | [
"MIT"
] | permissive | ArthurAlesi/Python-Exercicios-CursoEmVideo | 124e2ee82c3476a5a49baafed657788591a232c1 | ed0f0086ddbc0092df9d16ec2d8fdbabcb480cdd | refs/heads/master | 2022-12-31T13:21:30.001538 | 2020-09-24T02:09:23 | 2020-09-24T02:09:23 | 268,917,509 | 0 | 0 | null | null | null | null | ISO-8859-2 | Python | false | false | 508 | py | #!C:\Users\User\Documents\github-MeusRepositórios\Python-Exercicios-CursoEmVideo\ex021\venv\Scripts\python.exe -x
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install-3.7'
__requires__ = 'setuptools==40.8.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('setuptools==40.8.0', 'console_scripts', 'easy_install-3.7')()
)
| [
"[email protected]"
] | |
a4e86864532a808b15b5e79338f65769c9f59ef7 | a2e638cd0c124254e67963bda62c21351881ee75 | /Extensions/Default/FPythonCode/FOperationsGenerators.py | d6dd072a59bc78f8da23b710047f349b73f6dd9e | [] | no_license | webclinic017/fa-absa-py3 | 1ffa98f2bd72d541166fdaac421d3c84147a4e01 | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | refs/heads/main | 2023-04-19T10:41:21.273030 | 2021-05-10T08:50:05 | 2021-05-10T08:50:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,719 | py | """ Compiled: 2020-09-18 10:38:53 """
#__src_file__ = "extensions/operations/etc/FOperationsGenerators.py"
#-------------------------------------------------------------------------
# Generator for generating pairs of related objects.
#-------------------------------------------------------------------------
class PairGenerator(object):
#-------------------------------------------------------------------------
class Compare:
EQUAL = 0
PREDECESSOR = 1
SUCCESSOR = 2
#-------------------------------------------------------------------------
@staticmethod
def __Next(objs):
try:
obj = next(objs)
except StopIteration as _:
obj = None
return obj
#-------------------------------------------------------------------------
@staticmethod
def Generate(objs1, objs2, functor):
obj1 = PairGenerator.__Next(objs1)
obj2 = PairGenerator.__Next(objs2)
while obj1 or obj2:
compare = functor(obj1, obj2) if obj1 and obj2 else None
if compare == PairGenerator.Compare.EQUAL:
yield obj1, obj2
obj1 = PairGenerator.__Next(objs1)
obj2 = PairGenerator.__Next(objs2)
elif (obj1 and not obj2) or compare == PairGenerator.Compare.PREDECESSOR:
yield obj1, None
obj1 = PairGenerator.__Next(objs1)
elif (obj2 and not obj1) or compare == PairGenerator.Compare.SUCCESSOR:
yield None, obj2
obj2 = PairGenerator.__Next(objs2)
| [
"[email protected]"
] | |
d2ec78700adbdabb41836c5003016d18c394db8a | 4e5b20fdcca20f458322f0a8cd11bbdacb6fb3e5 | /test/promotesale/QueryFullReductionTest.py | 872c46b84243b6ed269a15938975388fe619df59 | [] | no_license | shijingyu/sunningAPI | 241f33b0660dc84635ce39688fed499f5c57a5da | 4a3b2ef7f9bdc4707d1eaff185bc7eb636fe90d5 | refs/heads/master | 2020-04-24T22:15:11.584028 | 2019-02-24T06:41:20 | 2019-02-24T06:41:20 | 172,305,179 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | #!usr/bin/python
# -*- coding: utf-8 -*-
'''
Created on 2014-10-17
@author: suning
'''
import sys
import os
basepath = os.path.dirname(os.path.abspath(sys.argv[0]))+"/../../"
sys.path.append(basepath)
import suning.api as api
a=api.QueryFullReductionRequest()
a.pageNo='1'
a.pageSize='2'
a.startTime='2014-09-09 12:00:00'
a.endTime='2014-09-19 12:00:00'
a.promotionRange='1'
a.statusCode='1'
try:
f = a.getResponse()
print(f)
except Exception as e:
print(e) | [
"[email protected]"
] | |
bc91f6c3d59ca8f650fe1a4456caba86df29ab50 | bee9d96912078d68877aa53e0c96537677ec3e6a | /peakpo/control/jcpdscontroller.py | 45d17941513eb3e86946eed8c7238ac55fde688b | [
"Apache-2.0"
] | permissive | SHDShim/PeakPo | ce0a637b6307787dd84fd3dcb3415e752d180c32 | 4c522e147e7715bceba218de58ee185cccd2055e | refs/heads/master | 2022-06-26T11:26:45.097828 | 2022-06-19T22:03:24 | 2022-06-19T22:03:24 | 94,345,216 | 17 | 3 | null | null | null | null | UTF-8 | Python | false | false | 11,139 | py | import os
import copy
from PyQt5 import QtWidgets
from PyQt5 import QtCore
from PyQt5 import QtGui
# import matplotlib.pyplot as plt
from matplotlib import colors
import matplotlib.cm as cmx
from .mplcontroller import MplController
from .jcpdstablecontroller import JcpdsTableController
from utils import xls_jlist, dialog_savefile, make_filename, get_temp_dir, \
InformationBox, extract_filename, extract_extension
from ds_jcpds import JCPDS
import pymatgen as mg
import datetime
class JcpdsController(object):
def __init__(self, model, widget):
self.model = model
self.widget = widget
self.jcpdstable_ctrl = JcpdsTableController(self.model, self.widget)
self.plot_ctrl = MplController(self.model, self.widget)
self.connect_channel()
def connect_channel(self):
self.widget.pushButton_NewJlist.clicked.connect(self.make_jlist)
self.widget.pushButton_RemoveJCPDS.clicked.connect(self.remove_a_jcpds)
self.widget.pushButton_AddToJlist.clicked.connect(
lambda: self.make_jlist(append=True))
self.widget.checkBox_Intensity.clicked.connect(
lambda: self._apply_changes_to_graph(limits=None))
"""
self.widget.pushButton_CheckAllJCPDS.clicked.connect(
self.check_all_jcpds)
self.widget.pushButton_UncheckAllJCPDS.clicked.connect(
self.uncheck_all_jcpds)
"""
self.widget.pushButton_MoveUp.clicked.connect(self.move_up_jcpds)
self.widget.pushButton_MoveDown.clicked.connect(self.move_down_jcpds)
self.widget.pushButton_ExportXLS.clicked.connect(self.save_xls)
self.widget.pushButton_ViewJCPDS.clicked.connect(self.view_jcpds)
self.widget.checkBox_JCPDSinPattern.clicked.connect(
lambda: self._apply_changes_to_graph(limits=None))
self.widget.checkBox_JCPDSinCake.clicked.connect(
lambda: self._apply_changes_to_graph(limits=None))
self.widget.pushButton_ForceUpdatePlot.clicked.connect(
lambda: self._apply_changes_to_graph(limits=None))
self.widget.pushButton_SaveTwkJCPDS.clicked.connect(
self.write_twk_jcpds)
def _apply_changes_to_graph(self, limits=None):
self.plot_ctrl.update(limits=limits)
def _find_a_jcpds(self):
idx_checked = \
self.widget.tableWidget_JCPDS.selectionModel().selectedRows()
if idx_checked == []:
return None
else:
return idx_checked[0].row()
def make_jlist(self, append=False):
"""
collect files for jlist
"""
files = QtWidgets.QFileDialog.getOpenFileNames(
self.widget, "Choose JPCDS Files", self.model.jcpds_path,
"(*.jcpds)")[0]
if files == []:
return
self.model.set_jcpds_path(os.path.split(str(files[0]))[0])
self._make_jlist(files, append=append)
def _make_jlist(self, files, append=False):
n_color = 20
# jet = plt.get_cmap('gist_rainbow')
jet = cmx.get_cmap('gist_rainbow')
cNorm = colors.Normalize(vmin=0, vmax=n_color)
c_index = range(n_color)
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
c_value = [value for value in c_index]
"""
[c_index[0], c_index[3], c_index[6], c_index[1], c_index[4],
c_index[7], c_index[2], c_index[5], c_index[8]]
"""
if append:
n_existingjcpds = self.model.jcpds_lst.__len__()
n_addedjcpds = files.__len__()
if ((n_existingjcpds + n_addedjcpds) > n_color):
i = 0
else:
i = n_existingjcpds
else:
self.model.reset_jcpds_lst()
i = 0
for f in files:
color = colors.rgb2hex(scalarMap.to_rgba(c_value[i]))
if self.model.append_a_jcpds(str(f), color):
i += 1
if i >= n_color - 1:
i = 0
else:
QtWidgets.QMessageBox.warning(
self.widget, "Warning",
f+" seems to have errors in format.")
# display on the QTableWidget
self.jcpdstable_ctrl.update()
if self.model.base_ptn_exist():
self._apply_changes_to_graph()
else:
self._apply_changes_to_graph(limits=(0., 25., 0., 100.))
def move_up_jcpds(self):
# get selected cell number
idx_selected = self._find_a_jcpds()
if idx_selected is None:
QtWidgets.QMessageBox.warning(self.widget, "Warning",
"Highlight the item to move first.")
return
i = idx_selected
if i == 0:
return
former_below = copy.copy(self.model.jcpds_lst[i])
former_above = copy.copy(self.model.jcpds_lst[i-1])
self.model.jcpds_lst[i - 1], self.model.jcpds_lst[i] = \
former_below, former_above
# self.model.jcpds_lst[i - 1], self.model.jcpds_lst[i] = \
# self.model.jcpds_lst[i], self.model.jcpds_lst[i - 1]
self.widget.tableWidget_JCPDS.clearContents()
self.jcpdstable_ctrl.update()
self.widget.tableWidget_JCPDS.selectRow(i - 1)
def move_down_jcpds(self):
# get selected cell number
idx_selected = self._find_a_jcpds()
if idx_selected is None:
QtWidgets.QMessageBox.warning(self.widget, "Warning",
"Highlight the item to move first.")
return
i = idx_selected
if i >= self.model.jcpds_lst.__len__() - 1:
return
former_below = copy.copy(self.model.jcpds_lst[i+1])
former_above = copy.copy(self.model.jcpds_lst[i])
self.model.jcpds_lst[i + 1], self.model.jcpds_lst[i] = \
former_above, former_below
# self.model.jcpds_lst[i + 1], self.model.jcpds_lst[i] = \
# self.model.jcpds_lst[i], self.model.jcpds_lst[i + 1]
self.widget.tableWidget_JCPDS.clearContents()
self.jcpdstable_ctrl.update()
self.widget.tableWidget_JCPDS.selectRow(i + 1)
"""
self.widget.tableWidget_JCPDS.setCurrentItem(
self.widget.tableWidget_JCPDS.item(i + 1, 1))
self.widget.tableWidget_JCPDS.setItemSelected(
self.widget.tableWidget_JCPDS.item(i + 1, 1), True)
self.widget.tableWidget_JCPDS.setItemSelected(
self.widget.tableWidget_JCPDS.item(i, 1), False)
"""
"""
def check_all_jcpds(self):
if not self.model.jcpds_exist():
return
for phase in self.model.jcpds_lst:
phase.display = True
self.jcpdstable_ctrl.update()
self._apply_changes_to_graph()
def uncheck_all_jcpds(self):
if not self.model.jcpds_exist():
return
for phase in self.model.jcpds_lst:
phase.display = False
self.jcpdstable_ctrl.update()
self._apply_changes_to_graph()
"""
def remove_a_jcpds(self):
reply = QtWidgets.QMessageBox.question(
self.widget, 'Message',
'Are you sure you want to remove the highlighted JPCDSs?',
QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No,
QtWidgets.QMessageBox.Yes)
if reply == QtWidgets.QMessageBox.No:
return
# print self.widget.tableWidget_JCPDS.selectedIndexes().__len__()
idx_checked = [s.row() for s in
self.widget.tableWidget_JCPDS.selectionModel().
selectedRows()]
# remove checked ones
if idx_checked != []:
idx_checked.reverse()
for idx in idx_checked:
self.model.jcpds_lst.remove(self.model.jcpds_lst[idx])
self.widget.tableWidget_JCPDS.removeRow(idx)
# self.update_table()
self._apply_changes_to_graph()
else:
QtWidgets.QMessageBox.warning(
self.widget, 'Warning',
'In order to remove, highlight the names.')
def save_xls(self):
"""
Export jlist to an excel file
"""
if not self.model.jcpds_exist():
return
temp_dir = get_temp_dir(self.model.get_base_ptn_filename())
filen_xls_t = make_filename(self.model.get_base_ptn_filename(),
'jlist.xls', temp_dir=temp_dir)
filen_xls = dialog_savefile(self.widget, filen_xls_t)
if str(filen_xls) == '':
return
xls_jlist(filen_xls, self.model.jcpds_lst,
self.widget.doubleSpinBox_Pressure.value(),
self.widget.doubleSpinBox_Temperature.value())
def view_jcpds(self):
if not self.model.jcpds_exist():
return
idx_checked = [
s.row() for s in
self.widget.tableWidget_JCPDS.selectionModel().selectedRows()]
if idx_checked == []:
QtWidgets.QMessageBox.warning(
self.widget, "Warning", "Highlight the name of JCPDS to view")
return
if idx_checked.__len__() != 1:
QtWidgets.QMessageBox.warning(
self.widget, "Warning",
"Only one JCPDS card can be shown at a time.")
else:
textoutput = self.model.jcpds_lst[idx_checked[0]].make_TextOutput(
self.widget.doubleSpinBox_Pressure.value(),
self.widget.doubleSpinBox_Temperature.value())
infobox = InformationBox()
infobox.setText(textoutput)
print(str(datetime.datetime.now())[:-7],
": Show JCPDS \n", textoutput)
infobox.exec_()
#self.widget.plainTextEdit_ViewJCPDS.setPlainText(textoutput)
def write_twk_jcpds(self):
if not self.model.jcpds_exist():
return
idx_checked = [
s.row() for s in
self.widget.tableWidget_JCPDS.selectionModel().selectedRows()]
if idx_checked == []:
QtWidgets.QMessageBox.warning(
self.widget, "Warning",
"Highlight the name of JCPDS to write twk jcpds.")
return
if idx_checked.__len__() != 1:
QtWidgets.QMessageBox.warning(
self.widget, "Warning",
"Only one JCPDS card can be written at a time.")
return
# get filename to write
path, __ = os.path.split(self.model.get_base_ptn_filename())
suggested_filen = os.path.join(
path,
self.model.jcpds_lst[idx_checked[0]].name + '-twk.jcpds')
filen_twk_jcpds = dialog_savefile(self.widget, suggested_filen)
if filen_twk_jcpds == '':
return
# make comments
comments = "modified from " + \
self.model.jcpds_lst[idx_checked[0]].file + \
", twk for " + \
self.model.base_ptn.fname
self.model.jcpds_lst[idx_checked[0]].write_to_twk_jcpds(
filen_twk_jcpds, comments=comments)
| [
"[email protected]"
] | |
ee987dc97b5aa0a7529752d0e719651d989c6283 | 741ee09b8b73187fab06ecc1f07f46a6ba77e85c | /AutonomousSourceCode/data/raw/sort/d0d3b906-00e8-4b06-aa81-423fdf44d307__mergesort.py | 4121ebe48ffcab855687335df0292d65e95b9edb | [] | no_license | erickmiller/AutomatousSourceCode | fbe8c8fbf215430a87a8e80d0479eb9c8807accb | 44ee2fb9ac970acf7389e5da35b930d076f2c530 | refs/heads/master | 2021-05-24T01:12:53.154621 | 2020-11-20T23:50:11 | 2020-11-20T23:50:11 | 60,889,742 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,800 | py | # nlogn, divide and conquer
# recursive
def merge_sort(int_array):
# base case
if len(int_array) == 0:
return None
elif len(int_array) == 1:
return int_array
# recursive step
else:
l = len(int_array)/2
first_half = int_array[:l]
second_half = int_array[l:]
sorted_first_half = merge_sort(first_half)
sorted_second_half = merge_sort(second_half)
return merge_sorted_lists(sorted_first_half, sorted_second_half)
def merge_sorted_lists(first, second):
sorted_complete_list = []
while first or second:
if first and second:
if first[0] <= second[0]:
sorted_complete_list.append(first[0])
first = first[1:]
else:
sorted_complete_list.append(second[0])
second = second[1:]
elif first:
sorted_complete_list.extend(first)
break
elif second:
sorted_complete_list.extend(second)
break
return sorted_complete_list
if __name__ == "__main__":
# from pudb import set_trace; set_trace()
eight_element_list = [8, 0, 12, 2, 5, 7, 3, 10]
print eight_element_list
print merge_sort(eight_element_list)
print
odd_number_element_list = [-10, 5, 2, 7, 6, 4.4, 3.75]
print odd_number_element_list
print merge_sort(odd_number_element_list)
print
list_w_dups = [8, 8, 3, 3, 3, 4, 4, 0]
print list_w_dups
print merge_sort(list_w_dups)
print
sorted_list = [1, 1, 3, 3, 6, 6, 9, 9, 1000, 1000, 5000, 5000, 100000000]
print sorted_list
print merge_sort(sorted_list)
print
rev_sorted_list = [10, 9, 8, 7, 6, 0, -5, -10]
print rev_sorted_list
print merge_sort(rev_sorted_list)
print
| [
"[email protected]"
] | |
d8e84cf721c759a8fde3138782a033b35746d27f | c09a4b4f02849c03ba536edda2bf920b655be6bc | /wyl/mvis2uvd.py | 915db718f98decc67ab738874bf2d62bda69f28b | [] | no_license | jpober/brownscripts | 33bcc70a31694dfb06f1314adb1402316540108c | c25789ec765b018eaad59d99a0a4264c75655265 | refs/heads/master | 2021-01-23T22:01:19.004636 | 2020-11-12T18:39:14 | 2020-11-12T18:39:14 | 57,912,669 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,616 | py | import sys,optparse,aipy,glob
import numpy as np, mp2cal
import pyuvdata.uvdata as uvd
o = optparse.OptionParser()
o.set_usage('mvis2uvd.py [options] obsid') #only takes 1 obsid
o.set_description(__doc__)
o.add_option('-d',dest='datpath',default='/users/wl42/data/wl42/FHD_out/fhd_MWA_PhaseII_EoR0/',type='string', help='Path to data. Include final / in path.')
o.add_option('-s',dest='solpath',default='/users/wl42/data/wl42/Nov2016EoR0/mdl_sol/',type='string', help='Path to omnical solutions. Include final / in path.')
o.add_option('-o',dest='outpath',default='/users/wl42/data/wl42/MDLVIS/',type='string', help='Path to save uvfits. Include final / in path.')
opts,args = o.parse_args(sys.argv[1:])
exec('from PhaseII_cal import *')
obsid = args[0]
uv = uvd.UVData()
print ' Loading data'
fhdlist = glob.glob(opts.datpath+'vis_data/'+obsid+'*') + glob.glob(opts.datpath+'metadata/'+obsid+'*')
uv.read_fhd(fhdlist,run_check=False,run_check_acceptability=False)
print ' Loading mdlvis'
npz_x = np.load(opts.solpath+obsid+'.xx.omni.npz')
npz_y = np.load(opts.solpath+obsid+'.yy.omni.npz')
ant = []
for k in npz_x.keys():
if k[0].isdigit(): ant.append(int(k[0:-1]))
ant.sort()
mdvis = {'xx':{}, 'yy':{}}
info = mp2cal.wyl.pos_to_info(antpos,ants=ant)
a1, a2 = [], []
for ii in range(info.nAntenna):
for jj in range(ii,info.nAntenna):
a1.append(ii)
a2.append(jj)
ant_dict = {}
for a in ant: ant_dict[info.ant_index(a)] = a
reds = info.get_reds()
reds_ind = {}
ubls = []
chix = npz_x['chisq2']
chiy = npz_y['chisq2']
maskx = chix > 1.2
masky = chiy > 1.2
flag = {}
flag['xx'] = np.logical_or(npz_x['flags'], maskx)
flag['yy'] = np.logical_or(npz_y['flags'], masky)
mask = {'xx': npz_x['flags'], 'yy': npz_y['flags']}
for key in npz_x.keys():
if key.startswith('<'):
bl,pol = key.split()
bl = tuple(map(int,bl[1:-1].split(',')))
mdvis[pol][bl] = npz_x[key]
ubls.append(bl)
for key in npz_y.keys():
if key.startswith('<'):
bl,pol = key.split()
bl = tuple(map(int,bl[1:-1].split(',')))
mdvis[pol][bl] = npz_y[key]
for r in reds:
ubl = None
for bl in ubls:
if bl in r: ubl = bl
if ubl is None: continue
for b in r: reds_ind[b] = ubl
Nbls0 = uv.Nbls
Nbls1 = info.nAntenna*(info.nAntenna+1)/2
b0 = 128*uv.ant_1_array[:Nbls0] + uv.ant_2_array[:Nbls0]
uv.Nbls = Nbls1
uv.Nants_data = info.nAntenna
uv.Nants_telescope = info.nAntenna
uv.Nblts = uv.Ntimes*uv.Nbls
times = np.resize(np.unique(uv.time_array),(uv.Nbls,uv.Ntimes)).T
uv.time_array = np.resize(times,(times.size))
lsts = np.resize(np.unique(uv.lst_array),(uv.Nbls,uv.Ntimes)).T
uv.lst_array = np.resize(lsts,(lsts.size))
uvw = np.zeros((uv.Nblts,3))
sample = np.ones(chix.shape)*16
for ii in range(384):
if ii%16 == 8: sample[:,ii] = 8
uv.ant_1_array = np.array(a1*uv.Ntimes)
uv.ant_2_array = np.array(a2*uv.Ntimes)
b1 = 128*uv.ant_1_array[:Nbls1] + uv.ant_2_array[:Nbls1]
for ii in range(uv.Nbls):
i = b1[ii]/128
j = b1[ii]%128
ai = ant_dict[i]
aj = ant_dict[j]
try:
ubli,ublj = reds_ind[(ai,aj)]
except:
ubli,ublj = ai,aj
try:
ind = np.where(b0 == 128*ubli + ublj)[0][0]
uvw[ii::Nbls1] = uv.uvw_array[ind::Nbls0]
except:
ind = np.where(b0 == 128*ublj + ubli)[0][0]
uvw[ii::Nbls1] = -uv.uvw_array[ind::Nbls0]
uv.uvw_array = uvw
uv.nsample_array = np.zeros((uv.Nblts,uv.Nspws,uv.Nfreqs,uv.Npols))
uv.data_array = np.zeros((uv.Nblts,uv.Nspws,uv.Nfreqs,uv.Npols),dtype=np.complex64)
uv.flag_array = np.ones((uv.Nblts,uv.Nspws,uv.Nfreqs,uv.Npols),dtype=bool)
uv.baseline_array = uv.antnums_to_baseline(uv.ant_1_array,uv.ant_2_array)
uv.antenna_positions = np.zeros((info.nAntenna,3))
uv.antenna_numbers = np.arange(info.nAntenna)
uv.antenna_names = []
for ii in range(info.nAntenna): uv.antenna_names.append(str(ii))
for pp in ['xx','yy']:
pn = aipy.miriad.str2pol[pp]
pid = np.where(uv.polarization_array==pn)[0][0]
for ii in range(uv.Nbls):
i = a1[ii]
j = a2[ii]
ai = ant_dict[i]
aj = ant_dict[j]
if (ai,aj) in reds_ind.keys(): vis = mdvis[pp][reds_ind[(ai,aj)]]
elif (aj,ai) in reds_ind.keys(): vis = mdvis[pp][reds_ind[(aj,ai)]].conj()
else: continue
uv.data_array[:,0][:,:,pid][ii::uv.Nbls] = vis
uv.flag_array[:,0][:,:,pid][ii::uv.Nbls] = flag[pp]
uv.nsample_array[:,0][:,:,pid][ii::uv.Nbls] = sample*np.logical_not(mask[pp])
outuvfits = opts.outpath + obsid + '_mvis.uvfits'
print ' Writing ' + outuvfits
uv.write_uvfits(outuvfits,spoof_nonessential=True)
| [
"[email protected]"
] | |
1713babd927c9dfa4224e1ad3277567e37cb7907 | 786027545626c24486753351d6e19093b261cd7d | /ghidra9.2.1_pyi/ghidra/app/util/bin/format/pdb2/pdbreader/symbol/AbstractUnknownMsSymbol.pyi | 09fd912dc8f16775243884f29d4f2ce850338007 | [
"MIT"
] | permissive | kohnakagawa/ghidra_scripts | 51cede1874ef2b1fed901b802316449b4bf25661 | 5afed1234a7266c0624ec445133280993077c376 | refs/heads/main | 2023-03-25T08:25:16.842142 | 2021-03-18T13:31:40 | 2021-03-18T13:31:40 | 338,577,905 | 14 | 1 | null | null | null | null | UTF-8 | Python | false | false | 702 | pyi | import ghidra.app.util.bin.format.pdb2.pdbreader.symbol
import java.lang
class AbstractUnknownMsSymbol(ghidra.app.util.bin.format.pdb2.pdbreader.symbol.AbstractMsSymbol):
def emit(self, __a0: java.lang.StringBuilder) -> None: ...
def equals(self, __a0: object) -> bool: ...
def getClass(self) -> java.lang.Class: ...
def getPdbId(self) -> int: ...
def hashCode(self) -> int: ...
def notify(self) -> None: ...
def notifyAll(self) -> None: ...
def toString(self) -> unicode: ...
@overload
def wait(self) -> None: ...
@overload
def wait(self, __a0: long) -> None: ...
@overload
def wait(self, __a0: long, __a1: int) -> None: ...
| [
"[email protected]"
] | |
cfa3740ba18f9384af22770130b7148306057883 | a96f603b34525f97c4b2fdca9f329aa38ffcc18c | /models/result_time_table_model.py | a705bdd8dd445e922470a4421768a1975e585705 | [] | no_license | mparlaktuna/capraz_sevkiyat2.0 | d1fbdaaeeec4c4113448aa18b0e58457ca2ad0e5 | 3d350826084230e2c71b57e0b587e193d72b2985 | refs/heads/master | 2020-04-06T07:11:14.641477 | 2016-08-26T14:43:25 | 2016-08-26T14:43:25 | 59,899,015 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,724 | py | from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
class ResultTimeTableModel(QAbstractTableModel):
def __init__(self, results, number_of_trucks, truck_name):
super(ResultTimeTableModel, self).__init__()
self.times = results.times
try:
self.v_header = [truck_name + str(i) for i in range(number_of_trucks)]
self.h_header = [a[0] for a in self.times[self.v_header[0]]]
except:
pass
def rowCount(self, QModelIndex_parent=None, *args, **kwargs):
try:
a = len(self.v_header)
except:
a = 0
return a
def columnCount(self, QModelIndex_parent=None, *args, **kwargs):
try:
a = len(self.h_header)
except:
a = 0
return a
def headerData(self, p_int, Qt_Orientation, int_role=None):
if int_role == Qt.DisplayRole:
if Qt_Orientation == Qt.Vertical:
try:
return QVariant(self.v_header[p_int])
except:
return QVariant()
elif Qt_Orientation == Qt.Horizontal:
try:
return QVariant(self.h_header[p_int])
except:
return QVariant()
else:
return QVariant()
def data(self, QModelIndex, int_role=None):
if not QModelIndex.isValid():
return QVariant()
if int_role == Qt.DisplayRole:
try:
return QVariant(self.times[self.v_header[QModelIndex.row()]][QModelIndex.column()][1])
except:
return QVariant()
else:
return QVariant()
| [
"[email protected]"
] | |
dbdda969b4f93ff83be9126e3528a31fdc8bacf4 | cbc3c3e602996fe5561b06545593f1a9a2401f42 | /heranca/EmpregadoHorista.py | 607bc67e665402c8d950d86dc556ddda133ded26 | [] | no_license | ricdtaveira/poo-python | fc06040acd032975e355edf62a8c2983f1d37972 | 3ecba2ccfcc84f79cfc1ef5247c017e58f36c8d4 | refs/heads/master | 2021-10-24T17:57:57.051213 | 2019-03-27T00:10:47 | 2019-03-27T00:10:47 | 105,895,238 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 484 | py | '''
Classe Empregado Horista
'''
from Empregado import Empregado
class EmpregadoHorista(Empregado):
'''
Empregado Horista
'''
def __init__(self, primeiro_nome, ultimo_nome, salario):
super().__init__(primeiro_nome, ultimo_nome, salario)
self.__horas = 0
def calcular_pagamento(self):
'''
Calcula o Pagamento do Horista
'''
return self.__horas * self.salario
def adicionar_horas(self, horas):
'''
Adicionar Horas
'''
self.__horas = self.__horas + horas
| [
"[email protected]"
] | |
4ebdf94e0d8f96f9ac8d65ae46ad57e3e7daeee4 | 73332abdcadb62f4f262d0c30856c3c257a9ee7d | /tests/environments/__init__.py | d8f2ee2ede569a4f0b62f68bcf1956da8c7c993e | [
"BSD-2-Clause"
] | permissive | code-google-com/oyprojectmanager | 454435604cc150c1b54ec2c54294e0fa05490f82 | 3085ecbe1cc04a73ec69b4848b789009546feae7 | refs/heads/master | 2021-01-19T02:40:56.342086 | 2015-01-26T16:40:00 | 2015-01-26T16:40:00 | 32,266,400 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 206 | py | # -*- coding: utf-8 -*-
# Copyright (c) 2009-2012, Erkan Ozgur Yilmaz
#
# This module is part of oyProjectManager and is released under the BSD 2
# License: http://www.opensource.org/licenses/BSD-2-Clause
| [
"[email protected]"
] | |
63530f10dc7fdc29a90fb8237fa885a8b7cc9f3b | 590facf811b9ad0e55e5eafbe6a5ed796d76b521 | /apps/meetup/migrations/0003_auto_20190428_1649.py | 607f35d32482cdf39d2c2855c8736906f8e3ef7c | [] | no_license | wangonya/questioner_django | 6193fa779121135b5c903fef599a5bc873107b52 | b598d4337b3acc39adf3ef972e50f2d750376ac0 | refs/heads/develop | 2020-05-16T11:59:16.778797 | 2019-05-01T16:43:29 | 2019-05-01T16:43:29 | 183,032,935 | 2 | 1 | null | 2019-05-01T16:43:30 | 2019-04-23T14:29:33 | Python | UTF-8 | Python | false | false | 1,083 | py | # Generated by Django 2.2 on 2019-04-28 16:49
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('meetup', '0002_auto_20190428_0625'),
]
operations = [
migrations.AddField(
model_name='votesmodel',
name='for_question',
field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.CASCADE, to='meetup.QuestionModel'),
preserve_default=False,
),
migrations.AddField(
model_name='votesmodel',
name='vote',
field=models.SmallIntegerField(default=1),
preserve_default=False,
),
migrations.AddField(
model_name='votesmodel',
name='voter',
field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
preserve_default=False,
),
]
| [
"[email protected]"
] | |
50be68b9ed14bc6e7cfa7d618467ffe4b3831cf6 | 1fc35e54ee4723cfa3d13de713895eac30616847 | /baekjun/stage solve/14.sort/2750.py | 5c0dafb7b9d7c5d8d8c61146fee82535d5d55b6e | [] | no_license | yhs3434/Algorithms | 02f55a5dc21085c0a17d9eaec5e3ba0cbd6d651d | 24d234a301077aac1bc4efbb269b41a963cedccf | refs/heads/master | 2021-07-12T19:21:00.446399 | 2021-01-20T01:44:27 | 2021-01-20T01:44:27 | 226,431,877 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | # 수 정렬하기
# https://www.acmicpc.net/problem/2750
import sys
sys.setrecursionlimit(1000000)
def solution(nums):
quickSort(nums, 0, len(nums)-1)
return nums
def quickSort(arr, left, right):
if left>=right:
return
pivot = arr[right]
i = left
j = left
while j<right:
if arr[j] < pivot:
temp = arr[i]
arr[i] = arr[j]
arr[j] = temp
i+=1
j+=1
else:
j+=1
temp = arr[i]
arr[i] = pivot
arr[right] = temp
quickSort(arr, left, i-1)
quickSort(arr, i+1, right)
n = int(input())
arrr = []
for xxx in range(n):
arrr.append(int(input()))
nums = solution(arrr)
for n in nums:
print(n) | [
"[email protected]"
] | |
ac33194bffd378e21c7449116b073668876615e6 | d99ac626d62c663704444a9cce7e7fc793a9e75e | /windows_asm_dump/dump_asm.py | 919d0f476a5fa34c1e8c990412b5ca361122bb57 | [] | no_license | Experiment5X/CryptoFunctionDetection | 3ab32d5573a249d24db1faf772721bc80b8d905d | dac700193e7e84963943593e36844b173211a8a1 | refs/heads/master | 2023-04-19T09:12:35.828268 | 2021-05-13T22:39:27 | 2021-05-13T22:39:27 | 355,299,557 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,802 | py | import os
import re
import subprocess
from pathlib import Path
from collections import OrderedDict
class BinaryCollection:
def __init__(self, in_directory, out_directory):
self.in_directory = in_directory
self.out_directory = out_directory
def process_all(self, limit=500):
binaries_processed = 0
for filename in os.listdir(self.in_directory):
file_path_str = os.path.join(self.in_directory, filename)
file_path = Path(file_path_str)
if not filename.startswith('.'): # file_path.suffix == '.exe' or file_path.suffix == '.dll':
file_name_no_exetension = file_path.stem
out_asm_path = os.path.join(
self.out_directory, f'{file_name_no_exetension}.s'
)
out_functions_path = os.path.join(
self.out_directory, f'{file_name_no_exetension}_functions.txt'
)
binary_file = BinaryFile(file_path_str)
if len(binary_file.labels) == 0:
continue
function_names = binary_file.get_functions()
with open(out_functions_path, 'w') as out_functions_file:
out_functions_file.writelines([f'{f}\n' for f in function_names])
dumped_functions = binary_file.dump_cleaned_asm(out_asm_path)
dumped_functions = set(dumped_functions)
for func_name in function_names:
if func_name not in dumped_functions:
print(f'{func_name} detected as a function but label wasnt dumped to asm file')
print(f'Processed {filename}')
binaries_processed += 1
if binaries_processed >= limit:
break
print(f'Processed {binaries_processed} binary files')
class BinaryFile:
def __init__(self, binary_path):
self.binary_path = binary_path
self.parse_asm()
def dump_assembly(self):
result = subprocess.run(
['dumpbin', '/DISASM:NOBYTES', self.binary_path], stdout=subprocess.PIPE
)
return result.stdout.decode('utf-8')
def load_assembly(self):
assembly = self.dump_assembly()
asm_lines = assembly.split('\n')
if len(asm_lines) < 1000:
return []
# remove info at start of dump
asm_lines = asm_lines[8:]
# strip all lines
asm_lines = [l.strip() for l in asm_lines if len(l.strip()) != 0]
# remove Summary info at end
summary_line = None
for i in range(1, len(asm_lines)):
if asm_lines[-i] == 'Summary':
summary_line = -i
asm_lines = asm_lines[:summary_line]
self.asm_lines = asm_lines
return asm_lines
def parse_asm(self):
asm_lines = self.load_assembly()
self.instructions = OrderedDict()
self.labels = {}
for line in asm_lines:
line_components = re.split('\s+', line)
address = int(line_components[0].replace(':', ''), 16)
instruction = ' '.join(line_components[1:])
if len(line_components) >= 3:
is_operand_address = re.match('^[0-9A-Fa-f]+$', line_components[2])
else:
is_operand_address = False
# check for call instructions
if (
line_components[1] == 'call'
and len(line_components) == 3
and is_operand_address
):
call_address_str = line_components[2]
call_address = int(call_address_str, 16)
self.labels[call_address] = f'sub_{call_address_str}'
# check for jump instructions
if (
line_components[1].startswith('j')
and len(line_components) == 3
and is_operand_address
):
jump_address_str = line_components[2]
jump_address = int(jump_address_str, 16)
jump_label = f'.L{jump_address_str}'
self.labels[jump_address] = jump_label
# replace address reference with label
instruction = instruction.replace(jump_address_str, jump_label)
self.instructions[address] = instruction
def get_functions(self):
functions = []
# filter out any functions that refer to stubs
for label_address in self.labels:
label = self.labels[label_address]
if not label.startswith('sub_'):
continue
if label_address not in self.instructions:
continue
first_function_instruction = self.instructions[label_address]
if not first_function_instruction.startswith('jmp'):
functions.append(label)
return functions
def dump_cleaned_asm(self, out_file_name):
functions_dumped = []
with open(out_file_name, 'w') as out_file:
for address in self.instructions:
instruction = self.instructions[address]
# check for a label
if address in self.labels:
label = self.labels[address]
if label.startswith('sub_'):
functions_dumped.append(label)
label_line = f'{label}:\n'
out_file.write(label_line)
out_file.write(f' {instruction}\n')
return functions_dumped
collection = BinaryCollection('C:\\Users\\Adam\\Downloads\\CryptoRansomware', 'C:\\Users\\Adam\\Developer\\CryptoFunctionDetection\\windows_asm_dump\\dumped_output_ransomware')
collection.process_all()
| [
"[email protected]"
] | |
b6f72bb86b3a305dc12f17daf5ed00670c12a129 | 485b781c6000259f4f27a9380e75ef76b04dd79d | /tests/expectdata/statements/load_stockrow_cat_quarterly.py | 0ea5ee39e665b3c4d3c63adda507d1df4f0a1294 | [
"MIT"
] | permissive | azafrob/py-finstmt | 5858693d2d78647c69dff46802d56a4e143ca9e1 | 7903bce83b31e4425ac680020bf7d3536ed1ed11 | refs/heads/master | 2023-08-25T02:39:50.898489 | 2020-12-30T22:57:10 | 2020-12-30T22:57:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,768 | py | import pandas as pd
LOAD_STOCKROW_CAT_Q_INDEX_str = ["2009-12-31 00:00:00", "2010-03-31 00:00:00", "2010-06-30 00:00:00", "2010-09-30 00:00:00", "2010-12-31 00:00:00", "2011-03-31 00:00:00", "2011-06-30 00:00:00", "2011-09-30 00:00:00", "2011-12-31 00:00:00", "2012-03-31 00:00:00", "2012-06-30 00:00:00", "2012-09-30 00:00:00", "2012-12-31 00:00:00", "2013-03-31 00:00:00", "2013-06-30 00:00:00", "2013-09-30 00:00:00", "2013-12-31 00:00:00", "2014-03-31 00:00:00", "2014-06-30 00:00:00", "2014-09-30 00:00:00", "2014-12-31 00:00:00", "2015-03-31 00:00:00", "2015-06-30 00:00:00", "2015-09-30 00:00:00", "2015-12-31 00:00:00", "2016-03-31 00:00:00", "2016-06-30 00:00:00", "2016-09-30 00:00:00", "2016-12-31 00:00:00", "2017-03-31 00:00:00", "2017-06-30 00:00:00", "2017-09-30 00:00:00", "2017-12-31 00:00:00", "2018-03-31 00:00:00", "2018-06-30 00:00:00", "2018-09-30 00:00:00", "2018-12-31 00:00:00", "2019-03-31 00:00:00", "2019-06-30 00:00:00", "2019-09-30 00:00:00"]
LOAD_STOCKROW_CAT_Q_INDEX = [pd.to_datetime(val) for val in LOAD_STOCKROW_CAT_Q_INDEX_str]
LOAD_STOCKROW_CAT_Q_INDEX_DATA_DICT = dict(
revenue=pd.Series(
[7898000000.0, 8238000000.0, 10409000000.0, 11134000000.0, 12807000000.0, 12949000000.0, 14230000000.0, 15716000000.0, 17243000000.0, 15981000000.0, 17374000000.0, 16445000000.0, 16075000000.0, 13210000000.0, 14621000000.0, 13423000000.0, 14402000000.0, 13241000000.0, 14150000000.0, 13549000000.0, 14244000000.0, 12702000000.0, 12317000000.0, 10962000000.0, 11030000000.0, 9461000000.0, 10342000000.0, 9160000000.0, 9574000000.0, 9822000000.0, 11331000000.0, 11413000000.0, 12896000000.0, 12859000000.0, 14011000000.0, 13510000000.0, 14342000000.0, 13466000000.0, 14432000000.0, 12758000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
cogs=pd.Series(
[6090000000.0, 6127000000.0, 7606000000.0, 7979000000.0, 9569000000.0, 9260000000.0, 10512000000.0, 11666000000.0, 12966000000.0, 11441000000.0, 12478000000.0, 11836000000.0, 12097000000.0, 9828000000.0, 10958000000.0, 9952000000.0, 10716000000.0, 9597000000.0, 10350000000.0, 9791000000.0, 11604000000.0, 8910000000.0, 8822000000.0, 8014000000.0, 8387000000.0, 6974000000.0, 7567000000.0, 6674000000.0, 7425000000.0, 6960000000.0, 7978000000.0, 7841000000.0, 9127000000.0, 8732000000.0, 9604000000.0, 9207000000.0, 10176000000.0, 9193000000.0, 10133000000.0, 8758000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
gross_profit=pd.Series(
[1808000000.0, 2111000000.0, 2803000000.0, 3155000000.0, 3238000000.0, 3689000000.0, 3718000000.0, 4050000000.0, 4277000000.0, 4540000000.0, 4896000000.0, 4609000000.0, 3978000000.0, 3382000000.0, 3663000000.0, 3471000000.0, 3686000000.0, 3644000000.0, 3800000000.0, 3758000000.0, 2640000000.0, 3792000000.0, 3495000000.0, 2948000000.0, 2643000000.0, 2487000000.0, 2775000000.0, 2486000000.0, 2149000000.0, 2862000000.0, 3353000000.0, 3572000000.0, 3769000000.0, 4127000000.0, 4407000000.0, 4303000000.0, 4166000000.0, 4273000000.0, 4299000000.0, 4000000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
rd_exp=pd.Series(
[355000000.0, 402000000.0, 450000000.0, 510000000.0, 543000000.0, 525000000.0, 584000000.0, 584000000.0, 604000000.0, 587000000.0, 632000000.0, 634000000.0, 613000000.0, 562000000.0, 548000000.0, 469000000.0, 467000000.0, 508000000.0, 516000000.0, 533000000.0, 823000000.0, 524000000.0, 510000000.0, 513000000.0, 572000000.0, 508000000.0, 468000000.0, 453000000.0, 424000000.0, 425000000.0, 458000000.0, 461000000.0, 498000000.0, 443000000.0, 462000000.0, 479000000.0, 466000000.0, 435000000.0, 441000000.0, 431000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
sga=pd.Series(
[942000000.0, 932000000.0, 1059000000.0, 1148000000.0, 1109000000.0, 1099000000.0, 1257000000.0, 1360000000.0, 1487000000.0, 1340000000.0, 1517000000.0, 1471000000.0, 1591000000.0, 1390000000.0, 1421000000.0, 1319000000.0, 1417000000.0, 1292000000.0, 1437000000.0, 1446000000.0, 2354000000.0, 1249000000.0, 1318000000.0, 1129000000.0, 1255000000.0, 1088000000.0, 1123000000.0, 992000000.0, 1180000000.0, 1061000000.0, 1304000000.0, 1254000000.0, 1380000000.0, 1276000000.0, 1440000000.0, 1299000000.0, 1463000000.0, 1319000000.0, 1309000000.0, 1251000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
dep_exp=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
other_op_exp=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
op_exp=pd.Series(
[1680000000.0, 1603000000.0, 1826000000.0, 1968000000.0, 1947000000.0, 1856000000.0, 2117000000.0, 2291000000.0, 2317000000.0, 2217000000.0, 2280000000.0, 2013000000.0, 2940000000.0, 2164000000.0, 2106000000.0, 2070000000.0, 2234000000.0, 2246000000.0, 2325000000.0, 2366000000.0, 3591000000.0, 2090000000.0, 2162000000.0, 2023000000.0, 2818000000.0, 1993000000.0, 1990000000.0, 2005000000.0, 2747000000.0, 2482000000.0, 2169000000.0, 2063000000.0, 2382000000.0, 2019000000.0, 2240000000.0, 2168000000.0, 2283000000.0, 2066000000.0, 2086000000.0, 1980000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
ebit=pd.Series(
[229000000.0, 566000000.0, 997000000.0, 1172000000.0, 1276000000.0, 1824000000.0, 1423000000.0, 1727000000.0, 2070000000.0, 2388000000.0, 2681000000.0, 2581000000.0, 1026000000.0, 1246000000.0, 1467000000.0, 1372000000.0, 1488000000.0, 1450000000.0, 1538000000.0, 1509000000.0, -869000000.0, 1895000000.0, 1262000000.0, 904000000.0, -126000000.0, 492000000.0, 864000000.0, 505000000.0, -1231000000.0, 405000000.0, 1284000000.0, 1647000000.0, 1288000000.0, 2238000000.0, 2299000000.0, 2244000000.0, 1468000000.0, 2371000000.0, 2288000000.0, 2115000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
int_exp=pd.Series(
[88000000.0, 102000000.0, 81000000.0, 85000000.0, 75000000.0, 87000000.0, 90000000.0, 112000000.0, 107000000.0, 113000000.0, 110000000.0, 129000000.0, 115000000.0, 120000000.0, 120000000.0, 116000000.0, 109000000.0, 110000000.0, 120000000.0, 128000000.0, 126000000.0, 129000000.0, 125000000.0, 127000000.0, 126000000.0, 129000000.0, 130000000.0, 126000000.0, 120000000.0, 123000000.0, 121000000.0, 118000000.0, 169000000.0, 101000000.0, 102000000.0, 102000000.0, 99000000.0, 103000000.0, 103000000.0, 103000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
gain_on_sale_invest=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
gain_on_sale_asset=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
impairment=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
ebt=pd.Series(
[141000000.0, 464000000.0, 916000000.0, 1087000000.0, 1201000000.0, 1737000000.0, 1333000000.0, 1615000000.0, 1963000000.0, 2275000000.0, 2571000000.0, 2452000000.0, 911000000.0, 1126000000.0, 1347000000.0, 1256000000.0, 1379000000.0, 1340000000.0, 1418000000.0, 1381000000.0, -995000000.0, 1766000000.0, 1137000000.0, 777000000.0, -252000000.0, 363000000.0, 734000000.0, 379000000.0, -1351000000.0, 282000000.0, 1163000000.0, 1529000000.0, 1119000000.0, 2137000000.0, 2197000000.0, 2142000000.0, 1369000000.0, 2268000000.0, 2185000000.0, 2012000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
tax_exp=pd.Series(
[-91000000.0, 231000000.0, 209000000.0, 295000000.0, 233000000.0, 512000000.0, 318000000.0, 474000000.0, 416000000.0, 689000000.0, 872000000.0, 753000000.0, 214000000.0, 246000000.0, 387000000.0, 310000000.0, 376000000.0, 418000000.0, 419000000.0, 364000000.0, -509000000.0, 521000000.0, 335000000.0, 218000000.0, -158000000.0, 92000000.0, 184000000.0, 96000000.0, -180000000.0, 90000000.0, 361000000.0, 470000000.0, 2418000000.0, 472000000.0, 490000000.0, 415000000.0, 321000000.0, 387000000.0, 565000000.0, 518000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
net_income=pd.Series(
[232000000.0, 233000000.0, 707000000.0, 792000000.0, 968000000.0, 1225000000.0, 1015000000.0, 1141000000.0, 1547000000.0, 1586000000.0, 1699000000.0, 1699000000.0, 697000000.0, 880000000.0, 960000000.0, 946000000.0, 1003000000.0, 922000000.0, 999000000.0, 1017000000.0, -486000000.0, 1245000000.0, 802000000.0, 559000000.0, -94000000.0, 271000000.0, 550000000.0, 283000000.0, -1171000000.0, 192000000.0, 802000000.0, 1059000000.0, -1299000000.0, 1665000000.0, 1707000000.0, 1727000000.0, 1048000000.0, 1881000000.0, 1620000000.0, 1494000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
cash=pd.Series(
[4867000000.0, 3538000000.0, 3597000000.0, 2265000000.0, 3592000000.0, 4869000000.0, 10715000000.0, 3229000000.0, 3057000000.0, 2864000000.0, 5103000000.0, 5689000000.0, 5490000000.0, 5982000000.0, 6110000000.0, 6357000000.0, 6081000000.0, 5345000000.0, 7927000000.0, 6082000000.0, 7341000000.0, 7563000000.0, 7821000000.0, 6046000000.0, 6460000000.0, 5886000000.0, 6764000000.0, 6113000000.0, 7168000000.0, 9472000000.0, 10232000000.0, 9591000000.0, 8261000000.0, 7888000000.0, 8654000000.0, 8007000000.0, 7857000000.0, 7128000000.0, 7429000000.0, 7906000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
st_invest=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
cash_and_st_invest=pd.Series(
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index=LOAD_STOCKROW_CAT_Q_INDEX
),
receivables=pd.Series(
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index=LOAD_STOCKROW_CAT_Q_INDEX
),
inventory=pd.Series(
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index=LOAD_STOCKROW_CAT_Q_INDEX
),
def_tax_st=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
other_current_assets=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_current_assets=pd.Series(
[27217000000.0, 26412000000.0, 27376000000.0, 28577000000.0, 31810000000.0, 34608000000.0, 40755000000.0, 36864000000.0, 37900000000.0, 40209000000.0, 44294000000.0, 44639000000.0, 42138000000.0, 42145000000.0, 40805000000.0, 40088000000.0, 38335000000.0, 37968000000.0, 41276000000.0, 39042000000.0, 38867000000.0, 38491000000.0, 38227000000.0, 35280000000.0, 33508000000.0, 33748000000.0, 33606000000.0, 31999000000.0, 31967000000.0, 35548000000.0, 36991000000.0, 37185000000.0, 36244000000.0, 37357000000.0, 38641000000.0, 38454000000.0, 38603000000.0, 39126000000.0, 39789000000.0, 39160000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
gross_ppe=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
dep=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
net_ppe=pd.Series(
[12386000000.0, 12057000000.0, 11763000000.0, 12065000000.0, 12539000000.0, 12219000000.0, 12430000000.0, 13397000000.0, 14395000000.0, 14571000000.0, 14928000000.0, 15509000000.0, 16461000000.0, 16276000000.0, 16352000000.0, 16588000000.0, 17075000000.0, 16716000000.0, 16690000000.0, 16431000000.0, 16577000000.0, 16277000000.0, 16136000000.0, 15955000000.0, 16090000000.0, 15935000000.0, 15916000000.0, 15680000000.0, 15322000000.0, 14727000000.0, 14420000000.0, 14187000000.0, 14155000000.0, 13912000000.0, 13752000000.0, 13607000000.0, 13574000000.0, 13259000000.0, 13172000000.0, 12842000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
goodwill=pd.Series(
[2734000000.0, 2772000000.0, 2777000000.0, 3458000000.0, 3419000000.0, 3402000000.0, 3385000000.0, 12307000000.0, 11448000000.0, 11368000000.0, 11556000000.0, 11538000000.0, 10958000000.0, 10715000000.0, 10578000000.0, 10686000000.0, 10552000000.0, 10495000000.0, 10367000000.0, 10011000000.0, 9770000000.0, 9383000000.0, 9413000000.0, 9387000000.0, 9436000000.0, 9451000000.0, 9329000000.0, 9178000000.0, 8369000000.0, 8338000000.0, 8374000000.0, 8371000000.0, 8311000000.0, 8539000000.0, 8288000000.0, 8209000000.0, 8114000000.0, 7998000000.0, 7944000000.0, 7772000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
lt_invest=pd.Series(
[105000000.0, 133000000.0, 154000000.0, 160000000.0, 164000000.0, 140000000.0, 123000000.0, 121000000.0, 133000000.0, 139000000.0, 124000000.0, 199000000.0, 272000000.0, 270000000.0, 288000000.0, 278000000.0, 272000000.0, 266000000.0, 259000000.0, 265000000.0, 257000000.0, 230000000.0, 229000000.0, 231000000.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
def_tax_lt=pd.Series(
[3930000000.0, 3711000000.0, 3505000000.0, 3916000000.0, 3424000000.0, 3307000000.0, 3366000000.0, 1928000000.0, 3737000000.0, 3583000000.0, 3717000000.0, 3506000000.0, 3558000000.0, 3598000000.0, 3693000000.0, 3526000000.0, 2147000000.0, 2101000000.0, 2200000000.0, 2131000000.0, 3143000000.0, 2780000000.0, 2914000000.0, 3005000000.0, 2489000000.0, 2486000000.0, 2536000000.0, 2579000000.0, 2790000000.0, 2940000000.0, 2866000000.0, 2845000000.0, 1693000000.0, 1687000000.0, 1626000000.0, 1288000000.0, 1439000000.0, 1378000000.0, 1473000000.0, 1372000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
other_lt_assets=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_non_current_assets=pd.Series(
[32821000000.0, 32424000000.0, 31417000000.0, 33065000000.0, 32210000000.0, 31779000000.0, 32856000000.0, 40903000000.0, 43318000000.0, 43699000000.0, 44544000000.0, 45902000000.0, 46832000000.0, 46598000000.0, 46570000000.0, 47184000000.0, 46561000000.0, 46429000000.0, 46551000000.0, 45446000000.0, 45814000000.0, 43999000000.0, 44015000000.0, 43689000000.0, 44834000000.0, 44559000000.0, 44694000000.0, 44403000000.0, 42737000000.0, 42001000000.0, 41519000000.0, 41375000000.0, 40718000000.0, 40657000000.0, 40346000000.0, 39755000000.0, 39906000000.0, 39600000000.0, 39398000000.0, 38833000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_assets=pd.Series(
[60038000000.0, 58836000000.0, 58793000000.0, 61642000000.0, 64020000000.0, 66387000000.0, 73611000000.0, 77767000000.0, 81218000000.0, 83908000000.0, 88838000000.0, 90541000000.0, 88970000000.0, 88743000000.0, 87375000000.0, 87272000000.0, 84896000000.0, 84397000000.0, 87827000000.0, 84488000000.0, 84681000000.0, 82490000000.0, 82242000000.0, 78969000000.0, 78342000000.0, 78307000000.0, 78300000000.0, 76402000000.0, 74704000000.0, 77549000000.0, 78510000000.0, 78560000000.0, 76962000000.0, 78014000000.0, 78987000000.0, 78209000000.0, 78509000000.0, 78726000000.0, 79187000000.0, 77993000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
payables=pd.Series(
[2993000000.0, 3431000000.0, 3975000000.0, 4970000000.0, 5856000000.0, 5990000000.0, 6858000000.0, 7524000000.0, 8161000000.0, 8360000000.0, 8470000000.0, 7978000000.0, 6753000000.0, 6221000000.0, 6343000000.0, 6280000000.0, 6560000000.0, 6731000000.0, 6860000000.0, 6778000000.0, 6515000000.0, 6328000000.0, 5862000000.0, 5206000000.0, 5023000000.0, 5101000000.0, 5104000000.0, 4713000000.0, 4614000000.0, 5302000000.0, 5778000000.0, 6113000000.0, 6487000000.0, 6938000000.0, 6831000000.0, 6788000000.0, 7051000000.0, 7198000000.0, 7022000000.0, 6141000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
st_debt=pd.Series(
[9784000000.0, 8622000000.0, 8927000000.0, 8271000000.0, 7981000000.0, 9691000000.0, 8456000000.0, 7508000000.0, 9648000000.0, 10762000000.0, 12055000000.0, 13326000000.0, 12391000000.0, 13246000000.0, 13871000000.0, 13522000000.0, 11031000000.0, 11290000000.0, 12936000000.0, 11102000000.0, 11501000000.0, 11972000000.0, 10875000000.0, 12335000000.0, 12844000000.0, 13893000000.0, 14343000000.0, 13488000000.0, 13965000000.0, 14557000000.0, 13377000000.0, 11089000000.0, 11031000000.0, 12150000000.0, 12470000000.0, 10332000000.0, 11553000000.0, 11542000000.0, 11514000000.0, 12318000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
current_lt_debt=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
tax_liab_st=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
other_current_liab=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_current_liab=pd.Series(
[18975000000.0, 18417000000.0, 19784000000.0, 20178000000.0, 22020000000.0, 23147000000.0, 23510000000.0, 25218000000.0, 28357000000.0, 28849000000.0, 31273000000.0, 31746000000.0, 29415000000.0, 28974000000.0, 29919000000.0, 29119000000.0, 27297000000.0, 27295000000.0, 29741000000.0, 27589000000.0, 27877000000.0, 26566000000.0, 25606000000.0, 25833000000.0, 26242000000.0, 26215000000.0, 27183000000.0, 25290000000.0, 26132000000.0, 27635000000.0, 28133000000.0, 25903000000.0, 26931000000.0, 27402000000.0, 28300000000.0, 26033000000.0, 28218000000.0, 27388000000.0, 27735000000.0, 27201000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
lt_debt=pd.Series(
[21847000000.0, 21548000000.0, 20226000000.0, 20337000000.0, 20437000000.0, 19895000000.0, 25926000000.0, 26781000000.0, 24944000000.0, 25191000000.0, 27261000000.0, 26526000000.0, 27752000000.0, 27240000000.0, 25680000000.0, 26015000000.0, 26719000000.0, 26801000000.0, 27307000000.0, 28180000000.0, 27784000000.0, 26803000000.0, 27445000000.0, 25208000000.0, 25169000000.0, 24470000000.0, 23980000000.0, 23622000000.0, 22818000000.0, 23725000000.0, 23815000000.0, 24835000000.0, 23847000000.0, 23165000000.0, 23699000000.0, 25441000000.0, 25000000000.0, 24240000000.0, 24764000000.0, 25588000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_debt=pd.Series(
[31631000000.0, 30170000000.0, 29153000000.0, 28608000000.0, 28418000000.0, 29586000000.0, 34382000000.0, 34289000000.0, 34592000000.0, 35953000000.0, 39316000000.0, 39852000000.0, 40143000000.0, 40486000000.0, 39551000000.0, 39537000000.0, 37750000000.0, 38091000000.0, 40243000000.0, 39282000000.0, 39285000000.0, 38775000000.0, 38320000000.0, 37543000000.0, 38013000000.0, 38363000000.0, 38323000000.0, 37110000000.0, 36783000000.0, 38282000000.0, 37192000000.0, 35924000000.0, 34878000000.0, 35315000000.0, 36169000000.0, 35773000000.0, 36553000000.0, 35782000000.0, 36278000000.0, 37906000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
deferred_rev=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
tax_liab_lt=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
deposit_liab=pd.Series(
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index=LOAD_STOCKROW_CAT_Q_INDEX
),
other_lt_liab=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_non_current_liab=pd.Series(
[31763000000.0, 30945000000.0, 29305000000.0, 31132000000.0, 30675000000.0, 30109000000.0, 36205000000.0, 37845000000.0, 39459000000.0, 39588000000.0, 41584000000.0, 40859000000.0, 41973000000.0, 41451000000.0, 39778000000.0, 39976000000.0, 36721000000.0, 36733000000.0, 37163000000.0, 38003000000.0, 39978000000.0, 38886000000.0, 39475000000.0, 37168000000.0, 37215000000.0, 36339000000.0, 35814000000.0, 35397000000.0, 35359000000.0, 36254000000.0, 36298000000.0, 36960000000.0, 36265000000.0, 35340000000.0, 35745000000.0, 36286000000.0, 36211000000.0, 35860000000.0, 36574000000.0, 35799000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_liab=pd.Series(
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index=LOAD_STOCKROW_CAT_Q_INDEX
),
common_stock=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
other_income=pd.Series(
[-3764000000.0, -3886000000.0, -4045000000.0, -4412000000.0, -4051000000.0, -3724000000.0, -3544000000.0, -4019000000.0, -6328000000.0, -6033000000.0, -6150000000.0, -5988000000.0, -6433000000.0, -6669000000.0, -6698000000.0, -6247000000.0, -3898000000.0, -3801000000.0, -3683000000.0, -4357000000.0, -6431000000.0, -7101000000.0, -6729000000.0, -6843000000.0, -2035000000.0, -1493000000.0, -1633000000.0, -1527000000.0, -2039000000.0, -1827000000.0, -1471000000.0, -1233000000.0, -1192000000.0, -1016000000.0, -1496000000.0, -1568000000.0, -1684000000.0, -1588000000.0, -1499000000.0, -1783000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
retained_earnings=pd.Series(
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index=LOAD_STOCKROW_CAT_Q_INDEX
),
minority_interest=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_equity=pd.Series(
[8740000000.0, 8942000000.0, 9185000000.0, 9837000000.0, 10824000000.0, 12629000000.0, 13391000000.0, 14162000000.0, 12883000000.0, 14969000000.0, 15926000000.0, 17884000000.0, 17532000000.0, 18274000000.0, 17621000000.0, 18110000000.0, 20811000000.0, 20305000000.0, 20856000000.0, 18823000000.0, 16746000000.0, 16962000000.0, 17092000000.0, 15896000000.0, 14809000000.0, 15676000000.0, 15232000000.0, 15645000000.0, 13213000000.0, 13660000000.0, 14079000000.0, 15697000000.0, 13766000000.0, 15272000000.0, 14942000000.0, 15890000000.0, 14080000000.0, 15478000000.0, 14878000000.0, 14993000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
total_liab_and_equity=pd.Series(
[59478000000.0, 58304000000.0, 58274000000.0, 61147000000.0, 63519000000.0, 65885000000.0, 73106000000.0, 77225000000.0, 80699000000.0, 83406000000.0, 88783000000.0, 90489000000.0, 88920000000.0, 88699000000.0, 87318000000.0, 87205000000.0, 84829000000.0, 84333000000.0, 87760000000.0, 84415000000.0, 84601000000.0, 82414000000.0, 82173000000.0, 78897000000.0, 78266000000.0, 78230000000.0, 78229000000.0, 76332000000.0, 74704000000.0, 77549000000.0, 78510000000.0, 78560000000.0, 76962000000.0, 78014000000.0, 78987000000.0, 78209000000.0, 78509000000.0, 78726000000.0, 79187000000.0, 77993000000.0],
index=LOAD_STOCKROW_CAT_Q_INDEX
),
)
| [
"[email protected]"
] | |
f9f574a4d00a771aa40f9ddee1222b2e1cf2f25b | f693c9c487d31a677f009afcdf922b4e7f7d1af0 | /biomixer-venv/lib/python3.9/site-packages/pylint/checkers/refactoring/recommendation_checker.py | b1175f03e03853db4ae7d542287abf40d715df6b | [
"MIT"
] | permissive | Shellowb/BioMixer | 9048b6c07fa30b83c87402284f0cebd11a58e772 | 1939261589fe8d6584a942a99f0308e898a28c1c | refs/heads/master | 2022-10-05T08:16:11.236866 | 2021-06-29T17:20:45 | 2021-06-29T17:20:45 | 164,722,008 | 1 | 3 | MIT | 2022-09-30T20:23:34 | 2019-01-08T19:52:12 | Python | UTF-8 | Python | false | false | 4,749 | py | # Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html
# For details: https://github.com/PyCQA/pylint/blob/master/LICENSE
import astroid
from pylint import checkers, interfaces
from pylint.checkers import utils
class RecommendationChecker(checkers.BaseChecker):
__implements__ = (interfaces.IAstroidChecker,)
name = "refactoring"
msgs = {
"C0200": (
"Consider using enumerate instead of iterating with range and len",
"consider-using-enumerate",
"Emitted when code that iterates with range and len is "
"encountered. Such code can be simplified by using the "
"enumerate builtin.",
),
"C0201": (
"Consider iterating the dictionary directly instead of calling .keys()",
"consider-iterating-dictionary",
"Emitted when the keys of a dictionary are iterated through the .keys() "
"method. It is enough to just iterate through the dictionary itself, as "
'in "for key in dictionary".',
),
}
@staticmethod
def _is_builtin(node, function):
inferred = utils.safe_infer(node)
if not inferred:
return False
return utils.is_builtin_object(inferred) and inferred.name == function
@utils.check_messages("consider-iterating-dictionary")
def visit_call(self, node):
if not isinstance(node.func, astroid.Attribute):
return
if node.func.attrname != "keys":
return
if not isinstance(node.parent, (astroid.For, astroid.Comprehension)):
return
inferred = utils.safe_infer(node.func)
if not isinstance(inferred, astroid.BoundMethod) or not isinstance(
inferred.bound, astroid.Dict
):
return
if isinstance(node.parent, (astroid.For, astroid.Comprehension)):
self.add_message("consider-iterating-dictionary", node=node)
@utils.check_messages("consider-using-enumerate")
def visit_for(self, node):
"""Emit a convention whenever range and len are used for indexing."""
# Verify that we have a `range([start], len(...), [stop])` call and
# that the object which is iterated is used as a subscript in the
# body of the for.
# Is it a proper range call?
if not isinstance(node.iter, astroid.Call):
return
if not self._is_builtin(node.iter.func, "range"):
return
if not node.iter.args:
return
is_constant_zero = (
isinstance(node.iter.args[0], astroid.Const)
and node.iter.args[0].value == 0
)
if len(node.iter.args) == 2 and not is_constant_zero:
return
if len(node.iter.args) > 2:
return
# Is it a proper len call?
if not isinstance(node.iter.args[-1], astroid.Call):
return
second_func = node.iter.args[-1].func
if not self._is_builtin(second_func, "len"):
return
len_args = node.iter.args[-1].args
if not len_args or len(len_args) != 1:
return
iterating_object = len_args[0]
if not isinstance(iterating_object, astroid.Name):
return
# If we're defining __iter__ on self, enumerate won't work
scope = node.scope()
if iterating_object.name == "self" and scope.name == "__iter__":
return
# Verify that the body of the for loop uses a subscript
# with the object that was iterated. This uses some heuristics
# in order to make sure that the same object is used in the
# for body.
for child in node.body:
for subscript in child.nodes_of_class(astroid.Subscript):
if not isinstance(subscript.value, astroid.Name):
continue
value = subscript.slice
if isinstance(value, astroid.Index):
value = value.value
if not isinstance(value, astroid.Name):
continue
if value.name != node.target.name:
continue
if iterating_object.name != subscript.value.name:
continue
if subscript.value.scope() != node.scope():
# Ignore this subscript if it's not in the same
# scope. This means that in the body of the for
# loop, another scope was created, where the same
# name for the iterating object was used.
continue
self.add_message("consider-using-enumerate", node=node)
return
| [
"[email protected]"
] | |
47633761925b05cb7b78e248675293d5b8f9b673 | c74c907a32da37d333096e08d2beebea7bea65e7 | /kaikeba/cv/week6/Week 6 coding/model/network.py | 0d65271f2868c98a4052e0036c292fdbae18f056 | [] | no_license | wangqiang79/learn | 6b37cc41140cc2200d928f3717cfc72357d10d54 | e4b949a236fa52de0e199c69941bcbedd2c26897 | refs/heads/master | 2022-12-25T06:24:39.163061 | 2020-07-13T15:43:13 | 2020-07-13T15:43:13 | 231,796,188 | 2 | 2 | null | 2022-12-08T07:03:05 | 2020-01-04T16:45:33 | Jupyter Notebook | UTF-8 | Python | false | false | 1,057 | py | import torch.nn as nn
import torchvision.models as models
from model.module import Block, Bottleneck, DownBottleneck, Layer
#pytorch Torchvision
class ResNet101v2(nn.Module):
'''
ResNet101 model
'''
def __init__(self):
super(ResNet101v2, self).__init__()
#下采样2倍
self.conv1 = Block(3, 64, 7, 3, 2)
self.pool1 = nn.MaxPool2d(kernel_size=3, stride=2, ceil_mode=True)
self.conv2_1 =DownBottleneck(64, 256, stride=1)
self.conv2_2 =Bottleneck(256, 256)
self.conv2_3 =Bottleneck(256, 256)
#下采样2倍 8倍
self.layer3 = Layer(256, [512]*2, "resnet")
#下采样2倍 16倍
self.layer4 = Layer(512, [1024]*23, "resnet")
#下采样2倍 32倍
self.layer5 = Layer(1024, [2048]*3, "resnet")
def forward(self, x):
f1 = self.conv1(x)
f2 = self.conv2_3(self.conv2_2(self.conv2_1(self.pool1(f1))))
f3 = self.layer3(f2)
f4 = self.layer4(f3)
f5 = self.layer5(f4)
return [f2, f3, f4, f5]
| [
"[email protected]"
] | |
67b5e8386db8e4569b1d1edacc6de547975d3b74 | af626ade966544b91fbfe0ea81fc887f1b8a2821 | /qa/rpc-tests/python-bitcoinrtxrpc/setup.py | fdfe9d34717f62f28824291c40f42b658d4ca311 | [
"MIT"
] | permissive | kunalbarchha/bitcoinrtx-old | 91f2b36a50e009151c61d36e77a563d0c17ab632 | 42c61d652288f183c4607462e2921bb33ba9ec1f | refs/heads/master | 2023-03-13T22:46:36.993580 | 2021-03-04T13:01:00 | 2021-03-04T13:01:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 630 | py | #!/usr/bin/env python2
from distutils.core import setup
setup(name='python-bitcoinrtxrpc',
version='0.1',
description='Enhanced version of python-jsonrpc for use with Bitcoinrtx',
long_description=open('README').read(),
author='Jeff Garzik',
author_email='<[email protected]>',
maintainer='Jeff Garzik',
maintainer_email='<[email protected]>',
url='http://www.github.com/jgarzik/python-bitcoinrtxrpc',
packages=['bitcoinrtxrpc'],
classifiers=['License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)', 'Operating System :: OS Independent'])
| [
"[email protected]"
] | |
a54826ebaa280ca23aad774cb3f6aec445632e62 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2561/60639/261665.py | 65b5061f633e844981dc12f1881df53161da5a40 | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 446 | py | def solution(n,x,arr1,arr2):
sum=0
for i in range(n*n):
if x-arr1[i] in arr2:
sum+=1
else:
continue
print(sum)
t=int(input())
for i in range(t):
inp=input().split()
n=int(inp[0])
x=int(inp[1])
arr1=[]
arr2=[]
for i in range(n):
arr1+=list(map(int,input().split()))
for i in range(n):
arr2+=list(map(int,input().split()))
solution(n,x,arr1,arr2)
| [
"[email protected]"
] | |
6c8789550af13191f5d64b9eb7d8bbbced53484a | d2f6140a45b234711c0b6bce9ab98c9468d6041e | /homework/2014-20/similar_hw_3/HenryRueda_primos.py | d98f69dad28fbfccad7005e984d6a50995f81e42 | [] | no_license | ComputoCienciasUniandes/MetodosComputacionalesDatos | 14b6b78655ed23985ecff28550934dec96f6373b | ecc7c21ca13a3b7bbdc7a8ef5715e8c9bf6e48cf | refs/heads/master | 2020-04-10T14:17:03.465444 | 2017-06-09T15:02:57 | 2017-06-09T15:02:57 | 12,526,572 | 0 | 8 | null | null | null | null | UTF-8 | Python | false | false | 1,369 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys,math
if len(sys.argv)<2:
print('\nNo hay suficiente información\n'.format(sys.argv[0]))
sys.exit(0)
Maximo=1000000
n=int(sys.argv[1])
if n<0:
print('\nEl número ingresado es negativo\n'.format(Maximo))
if n == 0:
print ('\n{} no es un número valido para ejecutar este programa\n'.format(0))
sys.exit(0)
if n>Maximo:
print('\nEl número es mayor que un millón\n'.format(Maximo))
sys.exit(0)
arrayprimos = []
factores = set()
for i in range(2, Maximo+1):
if i not in factores:
arrayprimos.append(i)
factores.update(range(i*i, Maximo+1, i))
def es_primo(n):
if n in arrayprimos:
return True
if es_primo(n):
print('\nEl número ingresado es primo\n'.format(n))
sys.exit(0)
k=int(math.sqrt(n)+1)
for i in range (0,k):
aux=float(n)/arrayprimos[i]
if aux%1==0 and es_primo(aux):
if aux!=arrayprimos[i]:
print('\n{} y {}'.format(arrayprimos[i], int(aux)))
sys.exit(0)
break
else:
print('\nexception'.format(arrayprimos[i], int(aux)))
sys.exit(0)
break
print('\nEl número en su descomposición tiene más de dos factores primos')
| [
"[email protected]"
] | |
d6246ef699c47ce3d1bbcf801835f3fac4236d8f | 3395a234e7c80d011607e79c49cd48bf516f256b | /dependencies/jedi/third_party/typeshed/third_party/2and3/werkzeug/test.pyi | 764b76d8e78bf0f973af8fbcc504bf8dfd79edde | [
"MIT",
"Apache-2.0"
] | permissive | srusskih/SublimeJEDI | 67329b72e184bc9584843968dcc534a002c797a1 | 95c185d778425c04536d53517b0e3fe6dedf8e59 | refs/heads/master | 2023-08-24T11:30:37.801834 | 2022-08-30T09:04:17 | 2022-08-30T09:04:17 | 6,241,108 | 669 | 125 | MIT | 2022-08-30T09:04:18 | 2012-10-16T08:23:57 | Python | UTF-8 | Python | false | false | 5,957 | pyi | import sys
from wsgiref.types import WSGIEnvironment
from typing import Any, Generic, Optional, Text, Tuple, Type, TypeVar, overload
from typing_extensions import Literal
if sys.version_info < (3,):
from urllib2 import Request as U2Request
from cookielib import CookieJar
else:
from urllib.request import Request as U2Request
from http.cookiejar import CookieJar
def stream_encode_multipart(values, use_tempfile: int = ..., threshold=..., boundary: Optional[Any] = ...,
charset: Text = ...): ...
def encode_multipart(values, boundary: Optional[Any] = ..., charset: Text = ...): ...
def File(fd, filename: Optional[Any] = ..., mimetype: Optional[Any] = ...): ...
class _TestCookieHeaders:
headers: Any
def __init__(self, headers): ...
def getheaders(self, name): ...
def get_all(self, name, default: Optional[Any] = ...): ...
class _TestCookieResponse:
headers: Any
def __init__(self, headers): ...
def info(self): ...
class _TestCookieJar(CookieJar):
def inject_wsgi(self, environ): ...
def extract_wsgi(self, environ, headers): ...
class EnvironBuilder:
server_protocol: Any
wsgi_version: Any
request_class: Any
charset: Text
path: Any
base_url: Any
query_string: Any
args: Any
method: Any
headers: Any
content_type: Any
errors_stream: Any
multithread: Any
multiprocess: Any
run_once: Any
environ_base: Any
environ_overrides: Any
input_stream: Any
content_length: Any
closed: Any
def __init__(self, path: str = ..., base_url: Optional[Any] = ..., query_string: Optional[Any] = ...,
method: str = ..., input_stream: Optional[Any] = ..., content_type: Optional[Any] = ...,
content_length: Optional[Any] = ..., errors_stream: Optional[Any] = ..., multithread: bool = ...,
multiprocess: bool = ..., run_once: bool = ..., headers: Optional[Any] = ..., data: Optional[Any] = ...,
environ_base: Optional[Any] = ..., environ_overrides: Optional[Any] = ..., charset: Text = ...): ...
form: Any
files: Any
@property
def server_name(self): ...
@property
def server_port(self): ...
def __del__(self): ...
def close(self): ...
def get_environ(self): ...
def get_request(self, cls: Optional[Any] = ...): ...
class ClientRedirectError(Exception): ...
# Response type for the client below.
# By default _R is Tuple[Iterable[Any], Union[Text, int], datastructures.Headers]
_R = TypeVar('_R')
class Client(Generic[_R]):
application: Any
response_wrapper: Optional[Type[_R]]
cookie_jar: Any
allow_subdomain_redirects: Any
def __init__(self, application, response_wrapper: Optional[Type[_R]] = ..., use_cookies: bool = ...,
allow_subdomain_redirects: bool = ...): ...
def set_cookie(self, server_name, key, value: str = ..., max_age: Optional[Any] = ..., expires: Optional[Any] = ...,
path: str = ..., domain: Optional[Any] = ..., secure: Optional[Any] = ..., httponly: bool = ...,
charset: Text = ...): ...
def delete_cookie(self, server_name, key, path: str = ..., domain: Optional[Any] = ...): ...
def run_wsgi_app(self, environ, buffered: bool = ...): ...
def resolve_redirect(self, response, new_location, environ, buffered: bool = ...): ...
@overload
def open(self, *args, as_tuple: Literal[True], **kwargs) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def open(self, *args, as_tuple: Literal[False] = ..., **kwargs) -> _R: ...
@overload
def open(self, *args, as_tuple: bool, **kwargs) -> Any: ...
@overload
def get(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def get(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def get(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def patch(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def patch(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def patch(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def post(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def post(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def post(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def head(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def head(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def head(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def put(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def put(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def put(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def delete(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def delete(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def delete(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def options(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def options(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def options(self, *args, as_tuple: bool, **kw) -> Any: ...
@overload
def trace(self, *args, as_tuple: Literal[True], **kw) -> Tuple[WSGIEnvironment, _R]: ...
@overload
def trace(self, *args, as_tuple: Literal[False] = ..., **kw) -> _R: ...
@overload
def trace(self, *args, as_tuple: bool, **kw) -> Any: ...
def create_environ(*args, **kwargs): ...
def run_wsgi_app(app, environ, buffered: bool = ...): ...
| [
"[email protected]"
] | |
5478f0ed6e84d36a081197e9e17ed5b0e151144f | 7fa08c93ff0caa4c86d4fa1727643331e081c0d0 | /brigid_api_client/models/__init__.py | 116e0784876b77021f16b674f520d34edb77dc10 | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | caltechads/brigid-api-client | 760768c05280a4fb2f485e27c05f6ae24fbb7c6f | 3e885ac9e7b3c00b8a9e0cc1fb7b53b468d9e10a | refs/heads/master | 2023-03-23T03:11:02.446720 | 2021-03-13T00:47:03 | 2021-03-13T00:47:03 | 338,424,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,175 | py | """ Contains all the data models used in inputs/outputs """
from .action_response import ActionResponse
from .action_response_errors import ActionResponseErrors
from .application import Application
from .applications_list_expand import ApplicationsListExpand
from .applications_retrieve_expand import ApplicationsRetrieveExpand
from .aws_account import AWSAccount
from .aws_accounts_list_expand import AwsAccountsListExpand
from .aws_accounts_retrieve_expand import AwsAccountsRetrieveExpand
from .aws_clusters_list_expand import AwsClustersListExpand
from .aws_clusters_retrieve_expand import AwsClustersRetrieveExpand
from .aws_services_list_expand import AwsServicesListExpand
from .aws_services_retrieve_expand import AwsServicesRetrieveExpand
from .aws_tasks_list_expand import AwsTasksListExpand
from .aws_tasks_retrieve_expand import AwsTasksRetrieveExpand
from .aws_vpcs_list_expand import AwsVpcsListExpand
from .aws_vpcs_retrieve_expand import AwsVpcsRetrieveExpand
from .awsecs_cluster import AWSECSCluster
from .awsecs_service import AWSECSService
from .awsecs_task import AWSECSTask
from .awsvpc import AWSVPC
from .deployment import Deployment
from .deployments_list_expand import DeploymentsListExpand
from .deployments_retrieve_expand import DeploymentsRetrieveExpand
from .docker_image_build import DockerImageBuild
from .docker_image_builds_list_expand import DockerImageBuildsListExpand
from .docker_image_builds_retrieve_expand import DockerImageBuildsRetrieveExpand
from .ecosystem import Ecosystem
from .ecosystems_list_expand import EcosystemsListExpand
from .ecosystems_retrieve_expand import EcosystemsRetrieveExpand
from .ecs_service_deploy import ECSServiceDeploy
from .ecs_service_deploys_list_expand import EcsServiceDeploysListExpand
from .ecs_service_deploys_retrieve_expand import EcsServiceDeploysRetrieveExpand
from .ecs_task_deploy import ECSTaskDeploy
from .ecs_task_deploys_list_expand import EcsTaskDeploysListExpand
from .ecs_task_deploys_retrieve_expand import EcsTaskDeploysRetrieveExpand
from .environment import Environment
from .environments_list_expand import EnvironmentsListExpand
from .environments_retrieve_expand import EnvironmentsRetrieveExpand
from .organization import Organization
from .organizations_list_expand import OrganizationsListExpand
from .organizations_retrieve_expand import OrganizationsRetrieveExpand
from .paginated_application_list import PaginatedApplicationList
from .paginated_aws_account_list import PaginatedAWSAccountList
from .paginated_awsecs_cluster_list import PaginatedAWSECSClusterList
from .paginated_awsecs_service_list import PaginatedAWSECSServiceList
from .paginated_awsecs_task_list import PaginatedAWSECSTaskList
from .paginated_awsvpc_list import PaginatedAWSVPCList
from .paginated_deployment_list import PaginatedDeploymentList
from .paginated_docker_image_build_list import PaginatedDockerImageBuildList
from .paginated_ecosystem_list import PaginatedEcosystemList
from .paginated_ecs_service_deploy_list import PaginatedECSServiceDeployList
from .paginated_ecs_task_deploy_list import PaginatedECSTaskDeployList
from .paginated_environment_list import PaginatedEnvironmentList
from .paginated_organization_list import PaginatedOrganizationList
from .paginated_person_type_list import PaginatedPersonTypeList
from .paginated_pipeline_invocation_list import PaginatedPipelineInvocationList
from .paginated_pipeline_list import PaginatedPipelineList
from .paginated_release_list import PaginatedReleaseList
from .paginated_site_user_list import PaginatedSiteUserList
from .paginated_software_list import PaginatedSoftwareList
from .paginated_step_invocation_list import PaginatedStepInvocationList
from .paginated_step_list import PaginatedStepList
from .paginated_step_type_list import PaginatedStepTypeList
from .paginated_team_list import PaginatedTeamList
from .paginated_test_result_list import PaginatedTestResultList
from .patched_application import PatchedApplication
from .patched_aws_account import PatchedAWSAccount
from .patched_awsecs_cluster import PatchedAWSECSCluster
from .patched_awsecs_service import PatchedAWSECSService
from .patched_awsecs_task import PatchedAWSECSTask
from .patched_awsvpc import PatchedAWSVPC
from .patched_deployment import PatchedDeployment
from .patched_docker_image_build import PatchedDockerImageBuild
from .patched_ecosystem import PatchedEcosystem
from .patched_ecs_service_deploy import PatchedECSServiceDeploy
from .patched_ecs_task_deploy import PatchedECSTaskDeploy
from .patched_environment import PatchedEnvironment
from .patched_organization import PatchedOrganization
from .patched_person_type import PatchedPersonType
from .patched_pipeline import PatchedPipeline
from .patched_pipeline_invocation import PatchedPipelineInvocation
from .patched_release import PatchedRelease
from .patched_site_user import PatchedSiteUser
from .patched_software import PatchedSoftware
from .patched_step import PatchedStep
from .patched_step_invocation import PatchedStepInvocation
from .patched_step_type import PatchedStepType
from .patched_team import PatchedTeam
from .patched_test_result import PatchedTestResult
from .person_type import PersonType
from .pipeines_list_expand import PipeinesListExpand
from .pipeines_retrieve_expand import PipeinesRetrieveExpand
from .pipeline import Pipeline
from .pipeline_invocation import PipelineInvocation
from .pipeline_invocations_list_expand import PipelineInvocationsListExpand
from .pipeline_invocations_retrieve_expand import PipelineInvocationsRetrieveExpand
from .pipeline_step_invocations_list_expand import PipelineStepInvocationsListExpand
from .pipeline_step_invocations_retrieve_expand import (
PipelineStepInvocationsRetrieveExpand,
)
from .pipeline_steps_list_expand import PipelineStepsListExpand
from .pipeline_steps_retrieve_expand import PipelineStepsRetrieveExpand
from .release import Release
from .release_import import ReleaseImport
from .release_import_all import ReleaseImportAll
from .release_import_all_response import ReleaseImportAllResponse
from .release_import_all_response_errors import ReleaseImportAllResponseErrors
from .releases_list_expand import ReleasesListExpand
from .releases_retrieve_expand import ReleasesRetrieveExpand
from .schema_retrieve_format import SchemaRetrieveFormat
from .schema_retrieve_response_200 import SchemaRetrieveResponse_200
from .service_enum import ServiceEnum
from .site_user import SiteUser
from .site_users_list_expand import SiteUsersListExpand
from .site_users_retrieve_expand import SiteUsersRetrieveExpand
from .software import Software
from .software_import import SoftwareImport
from .software_list_expand import SoftwareListExpand
from .software_retrieve_expand import SoftwareRetrieveExpand
from .status_enum import StatusEnum
from .step import Step
from .step_invocation import StepInvocation
from .step_type import StepType
from .team import Team
from .teams_list_expand import TeamsListExpand
from .teams_retrieve_expand import TeamsRetrieveExpand
from .test_result import TestResult
from .test_results_list_expand import TestResultsListExpand
from .test_results_retrieve_expand import TestResultsRetrieveExpand
| [
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] | |
ec5779ee0e273f9ab8b597108e3e042acb1ccd27 | 591900bf248906d0c80fbb02174b0c3be6de376f | /torch_scatter/__init__.py | e43f88eefbc902eb16d43b425fbd5f348a6e202f | [
"MIT"
] | permissive | xychen9459/pytorch_scatter | 0e02a2028faa98acc30fa3b7b082ea52cab5f70c | b9570ccd71622f9a7b2d311a1607bb3914801743 | refs/heads/master | 2020-04-17T00:09:30.541736 | 2018-12-27T11:37:55 | 2018-12-27T11:37:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 444 | py | from .add import scatter_add
from .sub import scatter_sub
from .mul import scatter_mul
from .div import scatter_div
from .mean import scatter_mean
from .std import scatter_std
from .max import scatter_max
from .min import scatter_min
__version__ = '1.1.0'
__all__ = [
'scatter_add',
'scatter_sub',
'scatter_mul',
'scatter_div',
'scatter_mean',
'scatter_std',
'scatter_max',
'scatter_min',
'__version__',
]
| [
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] | |
9d5d983d5ff01859848e01029c4cf4bd7a80dd09 | 730a0291d90bf220d162791287e422bc4225d164 | /pymodel/__init__.py | 4963a551029dcecb2c1fe1c933778d788cf10017 | [
"BSD-3-Clause"
] | permissive | jon-jacky/PyModel | 27442d062e615bd0bf1bd16d86ae56cc4d3dc443 | 457ea284ea20703885f8e57fa5c1891051be9b03 | refs/heads/master | 2022-11-02T14:08:47.012661 | 2022-10-16T09:47:53 | 2022-10-16T09:47:53 | 2,034,133 | 75 | 36 | NOASSERTION | 2021-07-11T21:15:08 | 2011-07-12T04:23:02 | Python | UTF-8 | Python | false | false | 87 | py | """
Make this directory a package so it can be installed with one line in setup.py
"""
| [
"[email protected]"
] | |
a771d28bdbf0a941f858c851bbe836950980bc83 | 2fd0c65aa0f72133f773dac5d9a5c48fe9e26fac | /Python/Core/Lib/idlelib/Bindings.py | 896d83102673640507f98caa05d20c390622944e | [] | no_license | FingerLeakers/DanderSpritz_docs | f5d2430e0b86b1b2f0684f02ddd4fa973a5a7364 | d96b6a71c039b329f9f81544f645857c75360e7f | refs/heads/master | 2021-01-25T13:05:51.732149 | 2018-03-08T01:22:49 | 2018-03-08T01:22:49 | 123,527,268 | 2 | 0 | null | 2018-03-02T03:48:31 | 2018-03-02T03:48:30 | null | UTF-8 | Python | false | false | 3,003 | py | # uncompyle6 version 2.9.10
# Python bytecode 2.7 (62211)
# Decompiled from: Python 2.7.10 (default, Feb 6 2017, 23:53:20)
# [GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.34)]
# Embedded file name: Bindings.py
"""Define the menu contents, hotkeys, and event bindings.
There is additional configuration information in the EditorWindow class (and
subclasses): the menus are created there based on the menu_specs (class)
variable, and menus not created are silently skipped in the code here. This
makes it possible, for example, to define a Debug menu which is only present in
the PythonShell window, and a Format menu which is only present in the Editor
windows.
"""
import sys
from idlelib.configHandler import idleConf
from idlelib import macosxSupport
menudefs = [
(
'file',
[
('_New Window', '<<open-new-window>>'),
('_Open...', '<<open-window-from-file>>'),
('Open _Module...', '<<open-module>>'),
('Class _Browser', '<<open-class-browser>>'),
('_Path Browser', '<<open-path-browser>>'),
None,
('_Save', '<<save-window>>'),
('Save _As...', '<<save-window-as-file>>'),
('Save Cop_y As...', '<<save-copy-of-window-as-file>>'),
None,
('Prin_t Window', '<<print-window>>'),
None,
('_Close', '<<close-window>>'),
('E_xit', '<<close-all-windows>>')]),
(
'edit',
[
('_Undo', '<<undo>>'),
('_Redo', '<<redo>>'),
None,
('Cu_t', '<<cut>>'),
('_Copy', '<<copy>>'),
('_Paste', '<<paste>>'),
('Select _All', '<<select-all>>'),
None,
('_Find...', '<<find>>'),
('Find A_gain', '<<find-again>>'),
('Find _Selection', '<<find-selection>>'),
('Find in Files...', '<<find-in-files>>'),
('R_eplace...', '<<replace>>'),
('Go to _Line', '<<goto-line>>')]),
(
'format',
[
('_Indent Region', '<<indent-region>>'),
('_Dedent Region', '<<dedent-region>>'),
('Comment _Out Region', '<<comment-region>>'),
('U_ncomment Region', '<<uncomment-region>>'),
('Tabify Region', '<<tabify-region>>'),
('Untabify Region', '<<untabify-region>>'),
('Toggle Tabs', '<<toggle-tabs>>'),
('New Indent Width', '<<change-indentwidth>>')]),
(
'run',
[
('Python Shell', '<<open-python-shell>>')]),
(
'shell',
[
('_View Last Restart', '<<view-restart>>'),
('_Restart Shell', '<<restart-shell>>')]),
(
'debug',
[
('_Go to File/Line', '<<goto-file-line>>'),
('!_Debugger', '<<toggle-debugger>>'),
('_Stack Viewer', '<<open-stack-viewer>>'),
('!_Auto-open Stack Viewer', '<<toggle-jit-stack-viewer>>')]),
(
'options',
[
('_Configure IDLE...', '<<open-config-dialog>>'),
None]),
(
'help',
[
('_About IDLE', '<<about-idle>>'),
None,
('_IDLE Help', '<<help>>'),
('Python _Docs', '<<python-docs>>')])]
if macosxSupport.runningAsOSXApp():
quitItem = menudefs[0][1][-1]
closeItem = menudefs[0][1][-2]
del menudefs[0][1][-3:]
menudefs[0][1].insert(6, closeItem)
del menudefs[-1][1][0:2]
default_keydefs = idleConf.GetCurrentKeySet()
del sys | [
"[email protected]"
] | |
3992e4cfa297274e2d85355c42f979d6de7326c2 | f52997ac7e1b41f34018c3a0028ced8638072b2b | /src/peoplefinder/migrations/0090_data_person_new_country.py | 1745636c4926fcb0b87247bd92c8f80294e57bf4 | [
"MIT"
] | permissive | uktrade/digital-workspace-v2 | 49fae1fca819b625c6f6949fb5ce51b89fbcab96 | 7e328d0d55c9aa73be61f476823a743d96e792d0 | refs/heads/main | 2023-09-03T12:03:47.016608 | 2023-09-01T12:07:55 | 2023-09-01T12:07:55 | 232,302,840 | 6 | 0 | MIT | 2023-09-13T15:50:24 | 2020-01-07T10:41:18 | Python | UTF-8 | Python | false | false | 820 | py | # Generated by Django 3.2.13 on 2022-05-23 13:15
from django.db import migrations
def insert_person_new_country(apps, schema_editor):
Person = apps.get_model("peoplefinder", "Person")
Country = apps.get_model("countries", "Country")
all_people = Person.objects.select_related("country").all()
country_lookup = Country.objects.all().in_bulk(field_name="iso_2_code")
people_to_update = []
for person in all_people:
person.new_country = country_lookup[person.country.code]
people_to_update.append(person)
Person.objects.bulk_update(people_to_update, ["new_country"], batch_size=100)
class Migration(migrations.Migration):
dependencies = [
("peoplefinder", "0089_person_new_country"),
]
operations = [migrations.RunPython(insert_person_new_country)]
| [
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] | |
03960f0f3fa5ef588fe7de7fb3dff054e493b677 | 90e1f9d99ab05ce34380f7b63ec3c6a2f02f3d62 | /src/team503/src/traffic_sign_detect/CNN_3channels_4conv.py | 18f641b42ae797f3a77c79becae44d8dd3b29087 | [] | no_license | sihcpro/The-Number1c-Rac1ng | eb038099c8deb6fbb6e88cde60c7a7f25474e5da | 856434acec52f52a8784199180692abbdb4a49e8 | refs/heads/master | 2020-04-12T10:07:24.182205 | 2019-01-15T22:21:43 | 2019-01-15T22:21:43 | 162,419,934 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,463 | py | import pickle
import cv2
from sklearn.utils import shuffle
import tensorflow as tf
TRAIN_DATA_DIR = "data/raw/training/augmented/"
TEST_DATA_DIR = "data/raw/testing"
# TEST_DATA_DIR = "data/raw/testing/00014"
CNN_MODEL_DIR = "model/CNN/3cnn_4conv.ckpt"
PICKLE_IMGS_DIR = "data/pickle/train_imgs_56.pkl"
PICKLE_LABELS_DIR = "data/pickle/test_labels.pkl"
NUM_CLASSES = 9
IMG_SIZE = 56
def deepnn(x):
with tf.name_scope('reshape'):
x_image = x
# x_image = tf.placeholder([-1, 28, 28, 3])
# First convolutional layer - maps one grayscale image to 32 feature maps.
with tf.name_scope('conv1'):
W_conv1 = weight_variable([5, 5, 3, 32])
b_conv1 = bias_variable([32])
h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1) + b_conv1)
# Pooling layer - downsamples by 2X.
with tf.name_scope('pool1'):
h_pool1 = max_pool_2x2(h_conv1)
# Second convolutional layer -- maps 32 feature maps to 64.
with tf.name_scope('conv2'):
W_conv2 = weight_variable([5, 5, 32, 64])
b_conv2 = bias_variable([64])
h_conv2 = tf.nn.relu(conv2d(h_pool1, W_conv2) + b_conv2)
# Second pooling layer.
with tf.name_scope('pool2'):
h_pool2 = max_pool_2x2(h_conv2)
# Third convolutional layer -- maps 64 feature maps to 64.
with tf.name_scope('conv3'):
W_conv3 = weight_variable([5, 5, 64, 64])
b_conv3 = bias_variable([64])
h_conv3 = tf.nn.relu(conv2d(h_pool2, W_conv3) + b_conv3)
# Forth convolutional layer -- maps 64 feature maps to 64.
with tf.name_scope('conv4'):
W_conv4 = weight_variable([5, 5, 64, 64])
b_conv4 = bias_variable([64])
h_conv4 = tf.nn.relu(conv2d(h_conv3, W_conv4) + b_conv4)
# Third pooling layer.
with tf.name_scope('pool3'):
h_pool3 = max_pool_2x2(h_conv4)
# Fully connected layer 1 -- after 2 round of downsampling, our 28x28 image
# is down to 7x7x64 feature maps -- maps this to 1024 features.
with tf.name_scope('fc1'):
W_fc1 = weight_variable([7 * 7 * 64, 1024])
b_fc1 = bias_variable([1024])
h_pool3_flat = tf.reshape(h_pool3, [-1, 7 * 7 * 64])
h_fc1 = tf.nn.relu(tf.matmul(h_pool3_flat, W_fc1) + b_fc1)
# Dropout - controls the complexity of the model, prevents co-adaptation of
# features.
with tf.name_scope('dropout'):
keep_prob = tf.placeholder(tf.float32)
h_fc1_drop = tf.nn.dropout(h_fc1, keep_prob)
# Map the 1024 features to NUM_CLASSES classes, one for each digit
with tf.name_scope('fc2'):
W_fc2 = weight_variable([1024, NUM_CLASSES])
b_fc2 = bias_variable([NUM_CLASSES])
y_conv = tf.matmul(h_fc1_drop, W_fc2) + b_fc2
return y_conv, keep_prob
def conv2d(x, W):
"""conv2d returns a 2d convolution layer with full stride."""
return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME')
def max_pool_2x2(x):
"""max_pool_2x2 downsamples a feature map by 2X."""
return tf.nn.max_pool(x, ksize=[1, 2, 2, 1],
strides=[1, 2, 2, 1], padding='SAME')
def weight_variable(shape):
"""weight_variable generates a weight variable of a given shape."""
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial)
def bias_variable(shape):
"""bias_variable generates a bias variable of a given shape."""
initial = tf.constant(0.1, shape=shape)
return tf.Variable(initial)
| [
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] | |
89fbdba1b70cdb22da26e68b9978fd3abcd9e436 | 6e3e1834eaad3a0c97bf645238e59a0599e047b4 | /blog/feeds.py | 720465e3999af4b68079e03f4bb4db306ed758e4 | [
"JSON"
] | permissive | davogler/davsite | 2dc42bfebb476d94f92520e8829999859deae80b | edd8ceed560690fa2c3eefde236416ffba559a2e | refs/heads/master | 2021-01-19T06:31:20.655909 | 2014-01-03T19:04:13 | 2014-01-03T19:04:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,119 | py | from django.core.exceptions import ObjectDoesNotExist
from django.utils.feedgenerator import Atom1Feed
from django.contrib.sites.models import Site
from django.contrib.syndication.views import Feed
from blog.models import Category, Entry
current_site = Site.objects.get_current()
class LatestEntriesFeed(Feed):
author_name = "David Vogler"
copyright = "http://%s/about/" % current_site.domain
description = "Latest entries posted to %s" % current_site.name
feed_type = Atom1Feed
item_copyright = "http://%s/about/" % current_site.domain
item_author_name = "David Vogler"
item_author_link = "http://%s/" % current_site.domain
link = "/feeds/entries/"
title = "%s: Latest entries" % current_site.name
def items(self):
return Entry.live.all()[:15]
def item_pubdate(self, item):
return item.pub_date
def item_guid(self, item):
return "tag:%s,%s:%s" % (current_site.domain, item.pub_date.strftime('%Y-%m-%d'), item.get_absolute_url())
def item_categories(self, item):
return [c.title for c in item.categories.all()]
| [
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] | |
408be7c9835520057e0fd69759857a3e3bc02f1d | b0b87924d07101e25fa56754ceaa2f22edc10208 | /workspace/python_study/Woojae_nam/Wu/Day11-05.py | e07fe32103a8b2b11607f10373a2d4d795669ccd | [] | no_license | SoheeKwak/Python | 2295dd03e5f235315d07355cbe72998f8b86c147 | e1a5f0ecf31e926f2320c5df0e3416306b8ce316 | refs/heads/master | 2020-04-02T13:49:58.367361 | 2018-11-23T09:33:23 | 2018-11-23T09:33:23 | 154,499,204 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,792 | py | ## 영상 처리 및 데이터 분석 툴
from tkinter import *; import os.path ;import math
from tkinter.filedialog import *
from tkinter.simpledialog import *
## 함수 선언부
def loadImage(fname) :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
fsize = os.path.getsize(fname) # 파일 크기 확인
inH = inW = int(math.sqrt(fsize)) # 입력메모리 크기 결정! (중요)
inImage = []; tmpList = []
for i in range(inH) : # 입력메모리 확보(0으로 초기화)
tmpList = []
for k in range(inW) :
tmpList.append(0)
inImage.append(tmpList)
# 파일 --> 메모리로 데이터 로딩
fp = open(fname, 'rb') # 파일 열기(바이너리 모드)
for i in range(inH) :
for k in range(inW) :
inImage[i][k] = int(ord(fp.read(1)))
fp.close()
def openFile() :
global window, canvas, paper, filename,inImage, outImage,inW, inH, outW, outH
filename = askopenfilename(parent=window,
filetypes=(("RAW파일", "*.raw"), ("모든파일", "*.*")))
loadImage(filename) # 파일 --> 입력메모리
equal() # 입력메모리--> 출력메모리
import threading
def display() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
# 기존에 캐버스 있으면 뜯어내기.
if canvas != None :
canvas.destroy()
# 화면 준비 (고정됨)
VIEW_X, VIEW_Y = 128, 128
if VIEW_X >= outW or VIEW_Y >= outH : #영상이 128미만이면
VIEW_X = outW
VIEW_Y = outH
step =1 # 건너뛸 숫자
else :
step = int(outW / VIEW_X)
window.geometry(str(VIEW_X*2) + 'x' + str(VIEW_Y*2))
canvas = Canvas(window, width=VIEW_X, height=VIEW_Y)
paper = PhotoImage(width=VIEW_X, height=VIEW_Y)
canvas.create_image((VIEW_X/2, VIEW_Y/2), image=paper, state='normal')
# 화면에 출력
def putPixel() :
for i in range(0, outH, step) :
for k in range(0, outW, step) :
data = outImage[i][k]
paper.put('#%02x%02x%02x' % (data, data, data), (int(k/step),int(i/step)))
threading.Thread(target=putPixel).start()
canvas.pack(expand=1, anchor=CENTER)
status.configure(text='이미지 정보:' + str(outW) + 'x' + str(outH))
def equal() : # 동일 영상 알고리즘
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
# 중요! 출력메모리의 크기를 결정
outW = inW; outH = inH;
outImage = []; tmpList = []
for i in range(outH): # 출력메모리 확보(0으로 초기화)
tmpList = []
for k in range(outW):
tmpList.append(0)
outImage.append(tmpList)
#############################
# 진짜 영상처리 알고리즘을 구현
############################
for i in range(inH) :
for k in range(inW) :
outImage[i][k] = inImage[i][k]
display()
def addImage() : # 밝게하기 알고리즘
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
# 중요! 출력메모리의 크기를 결정
outW = inW; outH = inH;
outImage = []; tmpList = []
for i in range(outH): # 출력메모리 확보(0으로 초기화)
tmpList = []
for k in range(outW):
tmpList.append(0)
outImage.append(tmpList)
#############################
# 진짜 영상처리 알고리즘을 구현
############################
value = askinteger('밝게하기', '밝게할 값-->', minvalue=1, maxvalue=255)
for i in range(inH) :
for k in range(inW) :
if inImage[i][k] + value > 255 :
outImage[i][k] = 255
else :
outImage[i][k] = inImage[i][k] + value
display()
def a_average() : # 입출력 영상의 평균값
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
rawSum = 0
for i in range(inH) :
for k in range(inW) :
rawSum += inImage[i][k]
inRawAvg = int(rawSum / (inH*inW))
rawSum = 0
for i in range(outH) :
for k in range(outW) :
rawSum += outImage[i][k]
outRawAvg = int(rawSum / (outH*outW))
subWindow = Toplevel(window) # 부모(window)에 종속된 서브윈도
subWindow.geometry('200x100')
label1 = Label(subWindow, text='입력영상 평균값 -->' + str(inRawAvg) ); label1.pack()
label2 = Label(subWindow, text='출력영상 평균값 -->' + str(outRawAvg)); label2.pack()
subWindow.mainloop()
def upDown() : # 상하 반전 알고리즘
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
# 중요! 출력메모리의 크기를 결정
outW = inW; outH = inH;
outImage = []; tmpList = []
for i in range(outH): # 출력메모리 확보(0으로 초기화)
tmpList = []
for k in range(outW):
tmpList.append(0)
outImage.append(tmpList)
#############################
# 진짜 영상처리 알고리즘을 구현
############################
for i in range(inH) :
for k in range(inW) :
outImage[outW-1-i][k] = inImage[i][k]
display()
def panImage() :
global panYN
panYN = True
def mouseClick(event) : # 동일 영상 알고리즘
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
global sx, sy, ex, ey, panYN
if not panYN :
return
sx = event.x; sy = event.y;
def mouseDrop(event): # 동일 영상 알고리즘
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
global sx, sy, ex, ey, panYN
if not panYN:
return
ex = event.x; ey = event.y;
my = sx - ex ; mx = sy - ey
# 중요! 출력메모리의 크기를 결정
outW = inW; outH = inH;
outImage = []; tmpList = []
for i in range(outH): # 출력메모리 확보(0으로 초기화)
tmpList = []
for k in range(outW):
tmpList.append(0)
outImage.append(tmpList)
#############################
# 진짜 영상처리 알고리즘을 구현
############################
for i in range(inH) :
for k in range(inW) :
if 0<= i-mx <outH and 0<= k-my < outW :
outImage[i-mx][k-my] = inImage[i][k]
panYN = False
display()
def zoomOut() : # 축소하기 알고리즘
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
# 중요! 출력메모리의 크기를 결정
scale = askinteger('축소하기', '축소할 배수-->', minvalue=2, maxvalue=32)
outW = int(inW/scale); outH = int(inH/scale)
outImage = []; tmpList = []
for i in range(outH): # 출력메모리 확보(0으로 초기화)
tmpList = []
for k in range(outW):
tmpList.append(0)
outImage.append(tmpList)
#############################
# 진짜 영상처리 알고리즘을 구현
############################
for i in range(inH) :
for k in range(inW) :
outImage[int(i/scale)][int(k/scale)] = inImage[i][k]
display()
import struct
def saveFile() :
global window, canvas, paper, filename,inImage, outImage,inW, inH, outW, outH
saveFp = asksaveasfile(parent=window, mode='wb',
defaultextension="*.raw", filetypes=(("RAW파일", "*.raw"), ("모든파일", "*.*")))
for i in range(outW):
for k in range(outH):
saveFp.write( struct.pack('B',outImage[i][k]))
saveFp.close()
def exitFile() :
global window, canvas, paper, filename,inImage, outImage,inW, inH, outW, outH
pass
import csv
def saveCSV() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
output_file = asksaveasfile(parent=window, mode='w',
defaultextension="*.csv", filetypes=(("CSV파일", "*.csv"), ("모든파일", "*.*")))
output_file = output_file.name
header = ['Column', 'Row', 'Value']
with open(output_file, 'w', newline='') as filewriter:
csvWriter = csv.writer(filewriter)
csvWriter.writerow(header)
for row in range(outW):
for col in range(outH):
data = outImage[row][col]
row_list = [row, col, data]
csvWriter.writerow(row_list)
print('OK!')
def saveShuffleCSV() :
pass
def loadCSV(fname) :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
fsize = -1
fp = open(fname, 'r')
for f in fp :
fsize += 1
fp.close()
inH = inW = int(math.sqrt(fsize)) # 입력메모리 크기 결정! (중요)
inImage = []; tmpList = []
for i in range(inH) : # 입력메모리 확보(0으로 초기화)
tmpList = []
for k in range(inW) :
tmpList.append(0)
inImage.append(tmpList)
# 파일 --> 메모리로 데이터 로딩
fp = open(fname, 'r') # 파일 열기(바이너리 모드)
csvFP = csv.reader(fp)
next(csvFP)
for row_list in csvFP :
row= int(row_list[0]) ; col = int(row_list[1]) ; value=int(row_list[2])
inImage[row][col] = value
fp.close()
def openCSV() :
global window, canvas, paper, filename,inImage, outImage,inW, inH, outW, outH
filename = askopenfilename(parent=window,
filetypes=(("CSV파일", "*.csv"), ("모든파일", "*.*")))
loadCSV(filename) # 파일 --> 입력메모리
equal() # 입력메모리--> 출력메모리
import sqlite3
def saveSQLite() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
global csvList, input_file
con = sqlite3.connect('imageDB') # 데이터베이스 지정(또는 연결)
cur = con.cursor() # 연결 통로 생성 (쿼리문을 날릴 통로)
# 열이름 리스트 만들기
colList = []
fname = os.path.basename(filename).split(".")[0]
try:
sql = "CREATE TABLE imageTable( filename CHAR(20), resolution smallint" + \
", row smallint, col smallint, value smallint)"
cur.execute(sql)
except:
pass
for i in range(inW) :
for k in range(inH) :
sql = "INSERT INTO imageTable VALUES('" + fname + "'," + str(inW) + \
"," + str(i) + "," + str(k) + "," + str(inImage[i][k]) +")"
cur.execute(sql)
con.commit()
cur.close()
con.close() # 데이터베이스 연결 종료
print('Ok!')
def openSQLite() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
global csvList, input_file
con = sqlite3.connect('imageDB') # 데이터베이스 지정(또는 연결)
cur = con.cursor() # 연결 통로 생성 (쿼리문을 날릴 통로)
try :
sql = "SELECT DISTINCT filename, resolution FROM imageTable"
cur.execute(sql)
tableNameList = [] # ['강아지:128', '강아지:512' ....]
while True :
row = cur.fetchone()
if row == None :
break
tableNameList.append( row[0] + ':' + str(row[1]) )
######## 내부 함수 (Inner Function) : 함수 안의 함수,지역함수 #######
def selectTable() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
selectedIndex = listbox.curselection()[0]
subWindow.destroy()
fname, res = tableNameList[selectedIndex].split(':')
filename = fname
sql = "SELECT row, col, value FROM imageTable WHERE filename='" + \
fname + "' AND resolution=" + res
print(sql)
cur.execute(sql)
inH = inW = int(res)
inImage = []; tmpList = []
for i in range(inH): # 입력메모리 확보(0으로 초기화)
tmpList = []
for k in range(inW):
tmpList.append(0)
inImage.append(tmpList)
while True :
row_tuple = cur.fetchone()
if row_tuple == None :
break
row, col, value = row_tuple
inImage[row][col] = value
cur.close()
con.close()
equal()
print("Ok! openSQLite")
################################################################
subWindow = Toplevel(window)
listbox = Listbox(subWindow)
button = Button(subWindow, text='선택', command=selectTable)
listbox.pack(); button.pack()
for sName in tableNameList :
listbox.insert(END, sName)
subWindow.lift()
except :
cur.close()
con.close()
print("Error! openSQLite")
import pymysql
def saveMySQL() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
global csvList, input_file
con = pymysql.connect(host='192.168.174.129', user='root',
password='1234', db='imageDB', charset='utf8') # 데이터베이스 지정(또는 연결)
cur = con.cursor() # 연결 통로 생성 (쿼리문을 날릴 통로)
# 열이름 리스트 만들기
colList = []
fname = os.path.basename(filename).split(".")[0]
try:
sql = "CREATE TABLE imageTable( filename CHAR(20), resolution smallint" + \
", row smallint, col smallint, value smallint)"
cur.execute(sql)
except:
pass
try:
sql = "DELETE FROM imageTable WHERE filename='" + \
fname + "' AND resolution=" + str(outW)
cur.execute(sql)
con.commit()
except:
pass
for i in range(inW) :
for k in range(inH) :
sql = "INSERT INTO imageTable VALUES('" + fname + "'," + str(outW) + \
"," + str(i) + "," + str(k) + "," + str(outImage[i][k]) +")"
cur.execute(sql)
con.commit()
cur.close()
con.close() # 데이터베이스 연결 종료
print('Ok! saveMySQL')
def openMySQL() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
global csvList, input_file
con = pymysql.connect(host='192.168.174.129', user='root',
password='1234', db='imageDB', charset='utf8') # 데이터베이스 지정(또는 연결)
cur = con.cursor() # 연결 통로 생성 (쿼리문을 날릴 통로)
try :
sql = "SELECT DISTINCT filename, resolution FROM imageTable"
cur.execute(sql)
tableNameList = [] # ['강아지:128', '강아지:512' ....]
while True :
row = cur.fetchone()
if row == None :
break
tableNameList.append( row[0] + ':' + str(row[1]) )
######## 내부 함수 (Inner Function) : 함수 안의 함수,지역함수 #######
def selectTable() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
selectedIndex = listbox.curselection()[0]
subWindow.destroy()
fname, res = tableNameList[selectedIndex].split(':')
filename = fname
sql = "SELECT row, col, value FROM imageTable WHERE filename='" + \
fname + "' AND resolution=" + res
print(sql)
cur.execute(sql)
inH = inW = int(res)
inImage = []; tmpList = []
for i in range(inH): # 입력메모리 확보(0으로 초기화)
tmpList = []
for k in range(inW):
tmpList.append(0)
inImage.append(tmpList)
while True :
row_tuple = cur.fetchone()
if row_tuple == None :
break
row, col, value = row_tuple
inImage[row][col] = value
cur.close()
con.close()
equal()
print("Ok! openMySQL")
################################################################
subWindow = Toplevel(window)
listbox = Listbox(subWindow)
button = Button(subWindow, text='선택', command=selectTable)
listbox.pack(); button.pack()
for sName in tableNameList :
listbox.insert(END, sName)
subWindow.lift()
except :
cur.close()
con.close()
print("Error! openMySQL")
import xlwt
def saveExcel1() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
output_file = asksaveasfile(parent=window, mode='w',
defaultextension="*.xls", filetypes=(("XLS파일", "*.xls"), ("모든파일", "*.*")))
output_file = output_file.name
sheetName = os.path.basename(output_file).split(".")[0]
wb = xlwt.Workbook()
ws = wb.add_sheet(sheetName)
for rowNum in range(outH):
for colNum in range(outW):
data = outImage[rowNum][colNum]
ws.write(rowNum, colNum, data)
wb.save(output_file)
print('OK! saveExcel1')
import xlsxwriter
def saveExcel2() :
global window, canvas, paper, filename, inImage, outImage, inW, inH, outW, outH
output_file = asksaveasfile(parent=window, mode='w',
defaultextension="*.xlsx", filetypes=(("XLSX파일", "*.xls"), ("모든파일", "*.*")))
output_file = output_file.name
sheetName = os.path.basename(output_file).split(".")[0]
wb = xlsxwriter.Workbook(output_file)
ws = wb.add_worksheet(sheetName)
ws.set_column(0, outW, 1.0) # 약 0.34 쯤
for r in range(outH):
ws.set_row(r, 9.5) # 약 0.35 쯤
for rowNum in range(outW) :
for colNum in range(outH) :
data = outImage[rowNum][colNum]
# data 값으로 셀의 배경색을 조절 #000000~#FFFFFF
if data > 15 :
hexStr = '#' + (hex(data)[2:])*3
else :
hexStr = '#' + ('0' + hex(data)[2:]) * 3
# 셀의 포맷을 준비
cell_format = wb.add_format()
cell_format.set_bg_color(hexStr)
ws.write(rowNum, colNum, '', cell_format)
wb.close()
print('OK! saveExcel2')
## 전역 변수부
window, canvas, paper, filename = [None] * 4
inImage, outImage = [], []; inW, inH, outW, outH = [0] * 4
panYN = False; sx, sy, ex, ey = [0] * 4
VIEW_X, VIEW_Y = 128, 128 # 상수로 씀(대문자)
status = None
## 메인 코드부
window = Tk(); window.geometry('400x400')
window.title('영상 처리&데이터 분석 Ver 0.7')
window.bind("<Button-1>", mouseClick)
window.bind("<ButtonRelease-1>", mouseDrop)
status = Label(window, text='이미지 정보', bd=1, relief=SUNKEN, anchor=W)
status.pack(side=BOTTOM, fill=X)
mainMenu = Menu(window);window.config(menu=mainMenu)
fileMenu = Menu(mainMenu);mainMenu.add_cascade(label='파일', menu=fileMenu)
fileMenu.add_command(label='열기', command=openFile)
fileMenu.add_command(label='저장', command=saveFile)
fileMenu.add_separator()
fileMenu.add_command(label='종료', command=exitFile)
pixelMenu = Menu(mainMenu);mainMenu.add_cascade(label='화소점처리', menu=pixelMenu)
pixelMenu.add_command(label='동일영상', command=equal)
pixelMenu.add_command(label='밝게하기', command=addImage)
geoMenu = Menu(mainMenu);mainMenu.add_cascade(label='기하학 처리', menu=geoMenu)
geoMenu.add_command(label='상하반전', command=upDown)
geoMenu.add_command(label='화면이동', command=panImage)
geoMenu.add_command(label='화면축소', command=zoomOut)
analyzeMenu = Menu(mainMenu);mainMenu.add_cascade(label='데이터분석', menu=analyzeMenu)
analyzeMenu.add_command(label='평균값', command=a_average)
otherMenu = Menu(mainMenu);mainMenu.add_cascade(label='다른 포맷 처리', menu=otherMenu)
otherMenu.add_command(label='CSV로 내보내기', command=saveCSV)
otherMenu.add_command(label='CSV(셔플)로 내보내기', command=saveShuffleCSV)
otherMenu.add_command(label='CSV 불러오기', command=openCSV)
otherMenu.add_separator()
otherMenu.add_command(label='SQLite로 내보내기', command=saveSQLite)
otherMenu.add_command(label='SQLite에서 가져오기', command=openSQLite)
otherMenu.add_separator()
otherMenu.add_command(label='MySQL로 내보내기', command=saveMySQL)
otherMenu.add_command(label='MySQL에서 가져오기', command=openMySQL)
otherMenu.add_separator()
otherMenu.add_command(label='Excel로 내보내기(숫자)', command=saveExcel1)
otherMenu.add_command(label='Excel로 내보내기(음영)', command=saveExcel2)
window.mainloop() | [
"[email protected]"
] | |
2746f2bfab9222260e2d22482a7b2408971cda51 | f7ba8dfe90d5ddf2c2f90950fc36a91cf43f84c6 | /data/create_server.py | 7d3c811bc2a978c4baf1577fab5339a0e7767aaa | [] | no_license | Sazxt/asu-ngentod | 7e9f5c3fd563d9cc52eb886e697f3344b7e19b25 | cc3d4f830efb383bef3c3eda9e30b528ca7ce7f9 | refs/heads/master | 2020-07-27T21:48:52.966235 | 2019-09-18T05:32:13 | 2019-09-18T05:32:13 | 209,225,278 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 33,006 | py |
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115, 101, 108, 102, 46, 97, 41, 41, 10, 9, 9, 9, 9, 9, 9, 105, 102, 32, 114, 46, 115, 116, 97, 116, 117, 115, 95, 99, 111, 100, 101, 32, 61, 61, 32, 50, 48, 48, 58, 10, 9, 9, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 53, 41, 10, 9, 9, 9, 9, 9, 9, 9, 115, 101, 108, 102, 46, 98, 101, 110, 103, 111, 110, 103, 40, 41, 10, 9, 9, 9, 9, 9, 9, 9, 98, 114, 101, 97, 107, 10, 9, 9, 9, 9, 9, 9, 9, 111, 115, 46, 115, 121, 115, 116, 101, 109, 40, 34, 107, 105, 108, 108, 97, 108, 108, 32, 112, 104, 112, 59, 107, 105, 108, 108, 97, 108, 108, 32, 115, 115, 104, 34, 41, 10, 9, 100, 101, 102, 32, 98, 101, 110, 103, 111, 110, 103, 40, 115, 101, 108, 102, 41, 58, 10, 9, 9, 119, 104, 105, 108, 101, 32, 84, 114, 117, 101, 58, 10, 9, 9, 9, 97, 61, 91, 34, 124, 34, 44, 34, 47, 34, 44, 34, 45, 34, 44, 34, 92, 92, 34, 93, 10, 9, 9, 9, 102, 111, 114, 32, 120, 32, 105, 110, 32, 97, 58, 10, 9, 9, 9, 9, 112, 114, 105, 110, 116, 32, 34, 92, 114, 91, 123, 125, 43, 123, 125, 93, 32, 82, 117, 110, 110, 105, 110, 103, 32, 87, 101, 98, 115, 101, 114, 118, 101, 114, 58, 32, 104, 116, 116, 112, 58, 47, 47, 123, 125, 46, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 32, 46, 46, 32, 123, 125, 32, 32, 34, 46, 102, 111, 114, 109, 97, 116, 40, 71, 44, 78, 44, 115, 101, 108, 102, 46, 97, 44, 10, 9, 9, 9, 9, 120, 10, 9, 9, 9, 9, 41, 44, 59, 115, 121, 115, 46, 115, 116, 100, 111, 117, 116, 46, 102, 108, 117, 115, 104, 40, 41, 59, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 48, 46, 50, 48, 41, 10, 9, 9, 9, 9, 10, 99, 108, 97, 115, 115, 32, 103, 112, 115, 40, 41, 58, 10, 9, 100, 101, 102, 32, 95, 95, 105, 110, 105, 116, 95, 95, 40, 115, 101, 108, 102, 41, 58, 10, 9, 9, 99, 101, 107, 95, 114, 101, 113, 117, 105, 114, 101, 100, 40, 41, 10, 9, 9, 115, 101, 108, 102, 46, 103, 112, 115, 40, 41, 10, 9, 100, 101, 102, 32, 103, 112, 115, 40, 115, 101, 108, 102, 41, 58, 10, 9, 9, 105, 102, 32, 111, 115, 46, 112, 97, 116, 104, 46, 101, 120, 105, 115, 116, 115, 40, 34, 114, 97, 119, 47, 115, 101, 114, 118, 101, 114, 47, 103, 112, 115, 47, 105, 110, 100, 101, 120, 46, 112, 104, 112, 34, 41, 58, 10, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 70, 105, 108, 101, 32, 105, 110, 100, 101, 120, 46, 112, 104, 112, 32, 119, 97, 115, 32, 102, 111, 117, 110, 100, 32, 105, 110, 32, 37, 115, 47, 103, 112, 115, 47, 105, 110, 100, 101, 120, 46, 112, 104, 112, 37, 115, 34, 37, 40, 82, 44, 78, 44, 82, 44, 78, 41, 41, 10, 9, 9, 9, 114, 61, 114, 97, 119, 95, 105, 110, 112, 117, 116, 40, 34, 91, 37, 115, 63, 37, 115, 93, 32, 68, 105, 100, 32, 117, 32, 119, 97, 110, 116, 32, 116, 111, 32, 101, 100, 105, 116, 32, 115, 105, 116, 101, 63, 32, 121, 47, 110, 58, 32, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 105, 102, 32, 114, 46, 108, 111, 119, 101, 114, 40, 41, 32, 61, 61, 32, 34, 121, 34, 58, 10, 9, 9, 9, 9, 115, 101, 108, 102, 46, 97, 61, 114, 97, 119, 95, 105, 110, 112, 117, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 83, 105, 116, 101, 32, 78, 97, 109, 101, 32, 32, 58, 32, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 99, 61, 114, 97, 119, 95, 105, 110, 112, 117, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 72, 84, 77, 76, 32, 84, 105, 116, 108, 101, 32, 58, 32, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 98, 61, 114, 97, 119, 95, 105, 110, 112, 117, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 65, 108, 101, 114, 116, 32, 77, 115, 103, 32, 32, 58, 32, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 100, 61, 114, 97, 119, 95, 105, 110, 112, 117, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 72, 84, 77, 76, 32, 66, 111, 100, 121, 32, 32, 58, 32, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 115, 101, 114, 118, 101, 114, 46, 103, 112, 115, 40, 99, 44, 98, 44, 100, 41, 10, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 80, 108, 101, 97, 115, 101, 32, 87, 97, 105, 116, 32, 67, 114, 101, 97, 116, 105, 110, 103, 32, 70, 97, 107, 101, 32, 87, 101, 98, 115, 105, 116, 101, 115, 32, 46, 46, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 119, 105, 116, 104, 32, 111, 112, 101, 110, 40, 34, 100, 97, 116, 97, 47, 108, 111, 103, 46, 116, 120, 116, 34, 44, 34, 119, 34, 41, 32, 97, 115, 32, 109, 101, 109, 101, 107, 58, 10, 9, 9, 9, 9, 9, 107, 111, 110, 116, 111, 108, 46, 80, 111, 112, 101, 110, 40, 10, 9, 9, 9, 9, 9, 9, 91, 34, 112, 104, 112, 34, 44, 34, 45, 83, 34, 44, 34, 108, 111, 99, 97, 108, 104, 111, 115, 116, 58, 56, 48, 56, 48, 34, 44, 34, 45, 116, 34, 44, 34, 114, 97, 119, 47, 115, 101, 114, 118, 101, 114, 47, 103, 112, 115, 34, 93, 44, 10, 9, 9, 9, 9, 9, 9, 115, 116, 100, 101, 114, 114, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 105, 110, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 111, 117, 116, 61, 109, 101, 109, 101, 107, 10, 9, 9, 9, 9, 9, 41, 10, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 51, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 79, 112, 101, 110, 32, 78, 101, 119, 32, 84, 97, 98, 32, 65, 110, 100, 32, 82, 117, 110, 32, 37, 115, 97, 115, 117, 46, 112, 121, 37, 115, 32, 115, 101, 108, 101, 99, 116, 32, 83, 101, 114, 118, 101, 114, 32, 76, 105, 115, 116, 101, 110, 101, 114, 34, 37, 40, 71, 44, 78, 44, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 83, 101, 110, 100, 32, 84, 104, 105, 115, 32, 76, 105, 110, 107, 32, 79, 110, 32, 89, 111, 117, 114, 32, 84, 97, 114, 103, 101, 116, 32, 46, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 33, 37, 115, 93, 32, 112, 114, 101, 115, 115, 32, 39, 37, 115, 121, 101, 115, 37, 115, 39, 32, 113, 117, 105, 99, 107, 108, 121, 32, 105, 102, 32, 121, 111, 117, 32, 102, 105, 110, 100, 32, 97, 32, 113, 117, 101, 115, 116, 105, 111, 110, 34, 37, 40, 71, 44, 78, 44, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 33, 37, 115, 93, 32, 119, 97, 105, 116, 105, 110, 103, 32, 115, 101, 114, 118, 101, 114, 32, 97, 99, 116, 105, 118, 101, 32, 46, 46, 46, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 107, 111, 110, 116, 111, 108, 46, 80, 111, 112, 101, 110, 40, 91, 10, 9, 9, 9, 9, 9, 9, 9, 9, 34, 115, 115, 104, 34, 44, 34, 45, 82, 34, 44, 10, 9, 9, 9, 9, 9, 9, 9, 9, 34, 123, 125, 46, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 58, 56, 48, 58, 108, 111, 99, 97, 108, 104, 111, 115, 116, 58, 56, 48, 56, 48, 34, 46, 102, 111, 114, 109, 97, 116, 40, 10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 115, 101, 108, 102, 46, 97, 41, 44, 10, 9, 9, 9, 9, 9, 9, 9, 9, 34, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 34, 10, 9, 9, 9, 9, 9, 93, 44, 115, 116, 100, 101, 114, 114, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 105, 110, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 111, 117, 116, 61, 109, 101, 109, 101, 107, 41, 10, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 53, 41, 10, 9, 9, 9, 9, 9, 119, 104, 105, 108, 101, 32, 84, 114, 117, 101, 58, 10, 9, 9, 9, 9, 9, 9, 114, 61, 114, 101, 113, 117, 101, 115, 116, 115, 46, 103, 101, 116, 40, 34, 104, 116, 116, 112, 58, 47, 47, 37, 115, 46, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 34, 37, 40, 115, 101, 108, 102, 46, 97, 41, 41, 10, 9, 9, 9, 9, 9, 9, 105, 102, 32, 114, 46, 115, 116, 97, 116, 117, 115, 95, 99, 111, 100, 101, 32, 61, 61, 32, 50, 48, 48, 58, 10, 9, 9, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 53, 41, 10, 9, 9, 9, 9, 9, 9, 9, 115, 101, 108, 102, 46, 98, 101, 110, 103, 111, 110, 103, 40, 41, 10, 9, 9, 9, 9, 9, 9, 9, 98, 114, 101, 97, 107, 10, 9, 9, 9, 9, 9, 9, 9, 111, 115, 46, 115, 121, 115, 116, 101, 109, 40, 34, 107, 105, 108, 108, 97, 108, 108, 32, 112, 104, 112, 59, 107, 105, 108, 108, 97, 108, 108, 32, 115, 115, 104, 34, 41, 10, 9, 9, 9, 101, 108, 115, 101, 58, 10, 9, 9, 9, 9, 115, 101, 108, 102, 46, 97, 61, 114, 97, 119, 95, 105, 110, 112, 117, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 83, 105, 116, 101, 32, 78, 97, 109, 101, 32, 32, 58, 32, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 80, 108, 101, 97, 115, 101, 32, 87, 97, 105, 116, 32, 67, 114, 101, 97, 116, 105, 110, 103, 32, 70, 97, 107, 101, 32, 87, 101, 98, 115, 105, 116, 101, 115, 32, 46, 46, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 119, 105, 116, 104, 32, 111, 112, 101, 110, 40, 34, 100, 97, 116, 97, 47, 108, 111, 103, 46, 116, 120, 116, 34, 44, 34, 119, 34, 41, 32, 97, 115, 32, 109, 101, 109, 101, 107, 58, 10, 9, 9, 9, 9, 9, 107, 111, 110, 116, 111, 108, 46, 80, 111, 112, 101, 110, 40, 10, 9, 9, 9, 9, 9, 9, 91, 34, 112, 104, 112, 34, 44, 34, 45, 83, 34, 44, 34, 108, 111, 99, 97, 108, 104, 111, 115, 116, 58, 56, 48, 56, 48, 34, 44, 34, 45, 116, 34, 44, 34, 114, 97, 119, 47, 115, 101, 114, 118, 101, 114, 47, 103, 112, 115, 47, 34, 93, 44, 10, 9, 9, 9, 9, 9, 9, 115, 116, 100, 101, 114, 114, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 105, 110, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 111, 117, 116, 61, 109, 101, 109, 101, 107, 10, 9, 9, 9, 9, 9, 41, 10, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 52, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 79, 112, 101, 110, 32, 78, 101, 119, 32, 84, 97, 98, 32, 65, 110, 100, 32, 82, 117, 110, 32, 37, 115, 97, 115, 117, 46, 112, 121, 37, 115, 32, 115, 101, 108, 101, 99, 116, 32, 83, 101, 114, 118, 101, 114, 32, 76, 105, 115, 116, 101, 110, 101, 114, 34, 37, 40, 71, 44, 78, 44, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 43, 37, 115, 93, 32, 83, 101, 110, 100, 32, 84, 104, 105, 115, 32, 76, 105, 110, 107, 32, 79, 110, 32, 89, 111, 117, 114, 32, 84, 97, 114, 103, 101, 116, 32, 46, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 33, 37, 115, 93, 32, 112, 114, 101, 115, 115, 32, 39, 37, 115, 121, 101, 115, 37, 115, 39, 32, 113, 117, 105, 99, 107, 108, 121, 32, 105, 102, 32, 121, 111, 117, 32, 102, 105, 110, 100, 32, 97, 32, 113, 117, 101, 115, 116, 105, 111, 110, 34, 37, 40, 71, 44, 78, 44, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 112, 114, 105, 110, 116, 40, 34, 91, 37, 115, 33, 37, 115, 93, 32, 119, 97, 105, 116, 105, 110, 103, 32, 115, 101, 114, 118, 101, 114, 32, 97, 99, 116, 105, 118, 101, 32, 46, 46, 46, 34, 37, 40, 71, 44, 78, 41, 41, 10, 9, 9, 9, 9, 9, 107, 111, 110, 116, 111, 108, 46, 80, 111, 112, 101, 110, 40, 91, 10, 9, 9, 9, 9, 9, 9, 9, 9, 34, 115, 115, 104, 34, 44, 34, 45, 82, 34, 44, 10, 9, 9, 9, 9, 9, 9, 9, 9, 34, 123, 125, 46, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 58, 56, 48, 58, 108, 111, 99, 97, 108, 104, 111, 115, 116, 58, 56, 48, 56, 48, 34, 46, 102, 111, 114, 109, 97, 116, 40, 10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 115, 101, 108, 102, 46, 97, 41, 44, 10, 9, 9, 9, 9, 9, 9, 9, 9, 34, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 34, 10, 9, 9, 9, 9, 9, 93, 44, 115, 116, 100, 101, 114, 114, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 105, 110, 61, 109, 101, 109, 101, 107, 44, 115, 116, 100, 111, 117, 116, 61, 109, 101, 109, 101, 107, 41, 10, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 53, 41, 10, 9, 9, 9, 9, 9, 119, 104, 105, 108, 101, 32, 84, 114, 117, 101, 58, 10, 9, 9, 9, 9, 9, 9, 114, 61, 114, 101, 113, 117, 101, 115, 116, 115, 46, 103, 101, 116, 40, 34, 104, 116, 116, 112, 58, 47, 47, 37, 115, 46, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 34, 37, 40, 115, 101, 108, 102, 46, 97, 41, 41, 10, 9, 9, 9, 9, 9, 9, 105, 102, 32, 114, 46, 115, 116, 97, 116, 117, 115, 95, 99, 111, 100, 101, 32, 61, 61, 32, 50, 48, 48, 58, 10, 9, 9, 9, 9, 9, 9, 9, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 53, 41, 10, 9, 9, 9, 9, 9, 9, 9, 115, 101, 108, 102, 46, 98, 101, 110, 103, 111, 110, 103, 40, 41, 10, 9, 9, 9, 9, 9, 9, 9, 98, 114, 101, 97, 107, 10, 9, 9, 9, 9, 9, 9, 9, 111, 115, 46, 115, 121, 115, 116, 101, 109, 40, 34, 107, 105, 108, 108, 97, 108, 108, 32, 112, 104, 112, 59, 107, 105, 108, 108, 97, 108, 108, 32, 115, 115, 104, 34, 41, 10, 9, 100, 101, 102, 32, 98, 101, 110, 103, 111, 110, 103, 40, 115, 101, 108, 102, 41, 58, 10, 9, 9, 119, 104, 105, 108, 101, 32, 84, 114, 117, 101, 58, 10, 9, 9, 9, 97, 61, 91, 34, 124, 34, 44, 34, 47, 34, 44, 34, 45, 34, 44, 34, 92, 92, 34, 93, 10, 9, 9, 9, 102, 111, 114, 32, 120, 32, 105, 110, 32, 97, 58, 10, 9, 9, 9, 9, 112, 114, 105, 110, 116, 32, 34, 92, 114, 91, 123, 125, 43, 123, 125, 93, 32, 82, 117, 110, 110, 105, 110, 103, 32, 87, 101, 98, 115, 101, 114, 118, 101, 114, 58, 32, 104, 116, 116, 112, 58, 47, 47, 123, 125, 46, 115, 101, 114, 118, 101, 111, 46, 110, 101, 116, 32, 46, 46, 32, 123, 125, 32, 32, 34, 46, 102, 111, 114, 109, 97, 116, 40, 71, 44, 78, 44, 115, 101, 108, 102, 46, 97, 44, 10, 9, 9, 9, 9, 120, 10, 9, 9, 9, 9, 41, 44, 59, 115, 121, 115, 46, 115, 116, 100, 111, 117, 116, 46, 102, 108, 117, 115, 104, 40, 41, 59, 116, 105, 109, 101, 46, 115, 108, 101, 101, 112, 40, 48, 46, 50, 48, 41, 10];exec "".join([chr(i) for i in d])
| [
"[email protected]"
] | |
6d935daa518bfb71dc1ec9c4b2da0127e0dcea10 | 2d5d13c4bdc64202a520f32e7d4a44bb75e2004f | /week-02/d04/substr.py | ebcf9c90389536fc31a978afb81cdf52ff7d22e8 | [] | no_license | green-fox-academy/andrasnyarai | 43b32d5cc4ad3792ef8d621328f9593fc9623e0b | 19759a146ba2f63f1c3e4e51160e6111ca0ee9c3 | refs/heads/master | 2021-09-07T16:19:34.636119 | 2018-02-26T00:38:00 | 2018-02-26T00:38:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | # Create a function that takes two strings as a parameter
# Returns the starting index where the second one is starting in the first one
# Returns -1 if the second string is not in the first one
input = "this is what I'm searching in"
input_word = "searching"
def searching(sentence, word):
s_index = sentence.find(word, 1)
return s_index
print(searching(input, input_word))
| [
"[email protected]"
] | |
27e4ddb0ceff016becbe4500d30ff6f059b91134 | 9fb13659c6c73996581fb252ef33ef589392770b | /test_utilities/src/d1_test/mock_api/tests/test_create.py | ad6d8382c9c6dd166ce7ff5c8bbaf0ca676a6362 | [
"Apache-2.0"
] | permissive | xlia/d1_python | ea9585c462cb1e4f2d50ff1c9ce17a33e7649265 | c4745e70a00b14fc1d8c66c6995a2d150ef69956 | refs/heads/master | 2021-09-07T08:48:02.123106 | 2018-02-20T14:59:33 | 2018-02-20T14:59:33 | 113,352,728 | 0 | 0 | null | 2018-02-20T14:39:00 | 2017-12-06T18:28:20 | Python | UTF-8 | Python | false | false | 2,064 | py | # -*- coding: utf-8 -*-
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2016 DataONE
#
# 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.
from __future__ import absolute_import
import base64
import json
import StringIO
import responses
import d1_test.d1_test_case
import d1_test.mock_api.create as mock_create
import d1_test.mock_api.util
class TestMockPost(d1_test.d1_test_case.D1TestCase):
@responses.activate
def test_1000(self, mn_client_v1_v2):
"""mock_api.create(): Echoes the request"""
mock_create.add_callback(d1_test.d1_test_case.MOCK_BASE_URL)
pid, sid, sciobj_str, sysmeta_pyxb = \
d1_test.instance_generator.sciobj.generate_reproducible(mn_client_v1_v2, 'post_pid')
response = mn_client_v1_v2.createResponse(
'post_pid', StringIO.StringIO(sciobj_str), sysmeta_pyxb
)
identifier_pyxb = mn_client_v1_v2.bindings.CreateFromDocument(
response.content
)
assert identifier_pyxb.value() == 'echo-post'
echo_body_str = base64.b64decode(response.headers['Echo-Body-Base64'])
echo_query_dict = json.loads(
base64.b64decode(response.headers['Echo-Query-Base64'])
)
echo_header_dict = json.loads(
base64.b64decode(response.headers['Echo-Header-Base64'])
)
assert isinstance(echo_body_str, basestring)
assert isinstance(echo_query_dict, dict)
assert isinstance(echo_header_dict, dict)
| [
"[email protected]"
] | |
45a1455cad84d3b82f52be1726c8da09b1788c0b | 1b8a99a4ff80da51dc81dd8354bf9bf1cbd25a8b | /2022/special_array_with_x_elements_greater_than_or_equal_x.py | 1eed93272f0a62c0218b8b94b721fe028f723576 | [] | no_license | eronekogin/leetcode | ea639eebe0cd70af9eb4cba59bc68f636d7b3e0c | edb870f83f0c4568cce0cacec04ee70cf6b545bf | refs/heads/master | 2023-08-16T10:35:57.164176 | 2023-08-14T11:25:33 | 2023-08-14T11:25:33 | 163,679,450 | 0 | 0 | null | 2021-09-09T12:04:44 | 2018-12-31T15:33:06 | Python | UTF-8 | Python | false | false | 624 | py | """
https://leetcode.com/problems/special-array-with-x-elements-greater-than-or-equal-x/
"""
class Solution:
def specialArray(self, nums: list[int]) -> int:
sortedNums = sorted(nums, reverse=True)
N = len(nums)
for i in range(N):
x = i + 1
if sortedNums[i] >= x: # Now we have x numbers >= x.
if i == len(nums) - 1 or sortedNums[i + 1] < x:
# Make sure exactly x numbers are >= x:
# 1. No more numbers left.
# 2. The next number is less than x.
return x
return -1
| [
"[email protected]"
] | |
55d553eca6268f2d5ec4ae4a218148c431371d37 | 68ac39d3f59988f3a5e581041a76d8d6c2f00d5d | /happy/HappyNodeTcpReset.py | 0ff3935eb6ed51ce7a5d6958029ecaa0617f4a7c | [
"Apache-2.0"
] | permissive | emargolis/happy | 62f274ff21e8be66922e239acaf7bbb6f53cea27 | 40d6e216d1a671c14b72e7e59f23b98cbda5d954 | refs/heads/master | 2021-01-16T15:16:25.950683 | 2020-02-26T20:04:06 | 2020-02-26T20:07:05 | 243,164,644 | 0 | 0 | Apache-2.0 | 2020-02-26T04:02:20 | 2020-02-26T04:02:19 | null | UTF-8 | Python | false | false | 4,586 | py | #!/usr/bin/env python
#
# Copyright (c) 2016-2017 Nest Labs, Inc.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##
# @file
# Implements HappyNodeTcpReset class through which nodes reset tcp connection on specific interface
#
#
import os
import sys
from happy.ReturnMsg import ReturnMsg
from happy.Utils import *
from happy.HappyNode import HappyNode
import happy.HappyProcessStart
options = {}
options["quiet"] = False
options["node_id"] = None
options["action"] = None
options["interface"] = None
options["start"] = None
options["duration"] = None
options["ips"] = None
options["dstPort"] = None
def option():
return options.copy()
class HappyNodeTcpReset(HappyNode):
"""
Provides tcpkill functionality to virtual nodes. Use this to test DoS attacks on a
Happy network by blocking TCP connections to specific nodes, interfaces, and ports.
happy-node-tcp-reset [-h --help] [-q --quiet] [-i --id <NODE_NAME>] [--interface <IFACE>]
[-s --start <START_TIME>] [-d --duration <DURATION>] [--ips <SOURCE_IP,DEST_IP>]
[--dstPort <DEST_PORT>]
-i --id Required. Target node to block connections for. Find using
happy-node-list or happy-state.
--interface Target node interface to block connections for.
-s --start Time to initiate TCP block, in seconds from NOW
-d --duration Time to maintain TCP block, in seconds from <START_TIME>
--ips Source and destination IPs to block connections for.
--dstPort Destination port to block connections for.
Example:
$ happy-node-tcp-reset --id BorderRouter --interface wlan0 --start 2 --duration 20 --dstPort 11095
Kills the TCP connection for the BorderRouter node's wlan0 interface for 18 seconds.
return:
0 success
1 fail
"""
def __init__(self, opts=options):
HappyNode.__init__(self)
self.quiet = opts["quiet"]
self.node_id = opts["node_id"]
self.action = opts["action"]
self.interface = opts["interface"]
self.begin = opts["start"]
self.duration = opts["duration"]
self.ips = opts["ips"]
self.dstPort = opts["dstPort"]
def __pre_check(self):
# Check if the name of the node is given
if not self.node_id:
emsg = "Missing name of the virtual node that should join a network."
self.logger.error("[localhost] HappyNodeJoin: %s" % (emsg))
self.exit()
# Check if node exists
if not self._nodeExists():
emsg = "virtual node %s does not exist." % (self.node_id)
self.logger.error("[%s] HappyNodeJoin: %s" % (self.node_id, emsg))
self.exit()
def start_process(self, node_id, cmd, tag, quiet=None, strace=True):
emsg = "start_weave_process %s at %s node." % (tag, node_id)
self.logger.debug("[%s] process: %s" % (node_id, emsg))
options = happy.HappyProcessStart.option()
options["quiet"] = self.quiet
options["node_id"] = node_id
options["tag"] = tag
options["command"] = cmd
options["strace"] = True
proc = happy.HappyProcessStart.HappyProcessStart(options)
proc.run()
def __TcpResetConnection(self):
path = os.path.dirname(os.path.abspath(__file__))
cmd = "python " + path + "/HappyPacketProcess.py --interface %s --start %d --duration %d --action RESET " % \
(self.interface, self.begin, self.duration)
if self.ips is not None:
cmd += " --ips %s" % self.ips
if self.dstPort is not None:
cmd += " --dstPort %d" % self.dstPort
if self.quiet is True:
cmd += " --quiet"
cmd = self.runAsRoot(cmd)
self.start_process(node_id=self.node_id, cmd=cmd, tag="TcpReset")
def run(self):
self.__pre_check()
self.__TcpResetConnection()
return ReturnMsg(0)
| [
"[email protected]"
] | |
f135199afee7f107d21a2bfe38d95e98e0ca3a85 | 81539aba88c22cf75bd2e14f5e0e92f2bf54e962 | /DarkMatterMap2017/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV_madgraph_mcatnlo_pythia8/TTbarDMJets_Dilepton_pseudoscalar_LO_Mchi-1_Mphi-250_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV_madgraph_mcatnlo_pythia8_260000_2_cff.py | 2cc85603244e7765849bf89b190cab40e038ff29 | [] | no_license | nistefan/RandomizedParametersSeparator | ad35b48b95e9745814c0bf9d8d8b6eb8aa479177 | 66a0e291b59113c6b5301768f1c10e36cf23d3c3 | refs/heads/master | 2021-01-03T00:41:17.415005 | 2020-02-19T13:30:54 | 2020-02-19T13:30:54 | 239,838,928 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,893 | py | import FWCore.ParameterSet.Config as cms
maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) )
readFiles = cms.untracked.vstring()
source = cms.Source ("PoolSource",fileNames = readFiles, lumisToProcess = cms.untracked.VLuminosityBlockRange(*('1:34673', '1:12127', '1:12785', '1:18734', '1:18816', '1:18193', '1:18352', '1:20878', '1:12449', '1:15269', '1:18521', '1:18538', '1:20793', '1:20820', '1:20840', '1:31324', '1:2919', '1:164', '1:26131', '1:26211', '1:29806', '1:9094', '1:9610', '1:27433', '1:25956', '1:27969', '1:25475', '1:25629', '1:25657', '1:25468', '1:25946', '1:25158', '1:27629', '1:30854', '1:30763', '1:26034', '1:6561', '1:8139', '1:26354', '1:33508', ))
)
readFiles.extend( ['/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/569B4D10-211C-EA11-A715-FA163E37F419.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/30550AAC-B81A-EA11-BAC1-0CC47A5FC2A1.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/2E4A544D-FB1C-EA11-976A-AC1F6BAC7C10.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/60FE314E-FF17-EA11-BF96-0025905C53A6.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/7461BAF6-B81A-EA11-B8C8-0242AC1C0502.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/281F6DB4-B81A-EA11-ABBF-FA163EB32F6D.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/68FB54A5-D319-EA11-9BF2-0CC47A2AED8A.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/D4CB8FB4-D419-EA11-8898-E0071B6C9DF0.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/44A61A10-EA1E-EA11-B484-AC1F6B1AF194.root', '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14-v1/260000/74DE8B80-0B18-EA11-9093-3CFDFE63F840.root']); | [
"[email protected]"
] | |
4f410a564f81eef398f188eb979ce9c032a2ffb0 | a2c90d183ac66f39401cd8ece5207c492c811158 | /Solving_Problem/daily_222/1205/4991.py | 93e9003c98ad92771f5ba370d3f2e866995051df | [] | no_license | kwoneyng/TIL | 0498cfc4dbebbb1f2c193cb7c9459aab7ebad02a | c6fbaa609b2e805f298b17b1f9504fd12cb63e8a | refs/heads/master | 2020-06-17T11:53:38.685202 | 2020-03-18T01:29:36 | 2020-03-18T01:29:36 | 195,916,103 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,848 | py | from collections import deque
from heapq import heappop, heappush
near = [[-1,0], [0,1], [1,0], [0,-1]]
def val_cha(st,ed):
temp = [i[:] for i in bd]
sx,sy = ht[st]
ex,ey = ht[ed]
serve = deque()
serve.append([sx,sy])
cnt = 0
while serve:
cnt += 1
for i in range(len(serve)):
x,y = serve.popleft()
if x == ex and y == ey:
dt[st][ed] = cnt - 1
dt[ed][st] = cnt - 1
return 0
for a,b in near:
xi,yi = a+x, b+y
if 0 <= xi < h and 0 <= yi < w and temp[xi][yi] != 'x':
temp[xi][yi] = 'x'
serve.append([xi, yi])
return -1
def build_root(vis, start=0, cnt=0):
global rs
if sum(vis) == dirty - 1:
rs = min(rs, cnt)
return 0
for i in range(1,dirty):
if not vis[i]:
vis[i] = 1
build_root(vis,i,cnt+dt[start][i])
vis[i] = 0
while True:
w,h = map(int,input().split())
if w == 0 and h == 0:
break
bd = [list(input()) for i in range(h)]
dirty = 1
rs = 9999999999999999999999
ht = {}
for x in range(h):
for y in range(w):
if bd[x][y] == 'o':
ht[0] = [x,y]
elif bd[x][y] == '*':
ht[dirty] = [x,y]
dirty += 1
dt = {}
for i in range(dirty):
dt[i] = {}
stop_flag = 0
for i in range(dirty-1):
if stop_flag == 0:
for j in range(i+1,dirty):
if val_cha(i,j) == -1:
print(-1)
stop_flag = 1
break
else:
break
if stop_flag == 0:
vis = [0]*dirty
build_root(vis)
print(rs)
| [
"[email protected]"
] | |
7c65675d6822a7edaf6bb50bacade930252936a7 | 6e3b8a04a074c30cf4fc43abe7a208f772df795b | /Data Types and Variables - Exercise/Task1.py | c017814f490a499fbf7b164e9cedce6713f5cc9e | [] | no_license | majurski/Softuni_Fundamentals | dc0808fdaab942896eebfb208fb6b291df797752 | bf53a9efdcb45eb911624ab86d762a6281391fb8 | refs/heads/master | 2022-11-29T06:06:06.287984 | 2020-08-10T19:36:18 | 2020-08-10T19:36:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 136 | py | a = int(input())
b = int(input())
c = int(input())
d = int(input())
sum = a + b
division = int(sum / c)
ends = division * d
print(ends) | [
"[email protected]"
] | |
e67f7e37e6cce0a557a8d702c6bab8d31037acd8 | 5b764b91be0016ee703fca41927b1438487e797b | /pygamerogue/tile.py | eda25d37c3805ae806fde03cb4b3db35b0634853 | [
"BSD-3-Clause"
] | permissive | mikolasan/pyroguelike | b33b7a959144b9b115ae4876da0d620b33a28eb3 | d51b01a566b5edb39792b59d683b4bf827399ba4 | refs/heads/master | 2021-07-23T23:06:28.822059 | 2021-01-11T16:57:58 | 2021-01-11T16:57:58 | 179,420,626 | 0 | 1 | BSD-3-Clause | 2021-07-07T15:32:36 | 2019-04-04T04:20:26 | Python | UTF-8 | Python | false | false | 3,755 | py | import pygame
rogue_size = (48, 48)
def map_to_pixel(x, y):
return x * rogue_size[0], y * rogue_size[1]
class Tile:
def __init__(self, size, map_pos, pos, background_color, border_color, symbol, padding, text_color):
self.size = size
self.pos = {}
if map_pos is not None:
self.update_map_position(map_pos)
else:
self.set_rect_position(pos)
self.background_color = background_color
self.border_color = border_color
self.symbol = symbol
self.text_padding = padding
self.text_color = text_color
self.angle = 0
self.make_image()
def set_rect_position(self, position):
self.pos['x'] = position[0]
self.pos['y'] = position[1]
self.map_pos = (position[0] // rogue_size[0], position[1] // rogue_size[1])
self.update_rect_position()
def update_map_position(self, map_pos):
self.map_pos = map_pos
self.pos['x'], self.pos['y'] = map_to_pixel(map_pos[0], map_pos[1])
def update_rect_position(self):
if hasattr(self, 'rect'):
self.rect.left, self.rect.top = self.pos['x'], self.pos['y']
def make_image(self):
self.font = pygame.font.Font('font.ttf', 40)
self.rendered_symbol = self.font.render(self.symbol, True, self.text_color)
self.original_image = pygame.Surface(self.size)
self.original_image.fill(self.background_color)
self.original_image.blit(self.rendered_symbol, self.text_padding)
self.image = self.original_image
self.rect = self.image.get_rect()
self.update_rect_position()
def update(self, events):
self.update_rect_position()
def draw(self, screen, camera):
screen.blit(self.image, camera.applyrect(self.rect))
wall = {
'background': (44, 61, 81),
'border': (0, 0, 0),
'text': (146, 154, 162),
'symbol': '-',
'padding': [0, 0],
}
TileDB = {
'-': {
**wall,
'symbol': '-',
},
'|': {
**wall,
'symbol': '|',
},
'<': {
**wall,
'symbol': '<',
},
'.': {
'background': (113, 118, 138),
'border': (0, 0, 0),
'text': (226, 199, 192),
'symbol': '.',
'padding': [0, 0],
},
'@': {
'background': (44, 44, 44),
'border': (50, 100, 0),
'text': (91, 198, 208),
'symbol': '@',
'padding': [0, 0],
},
'!': {
'background': (208, 221, 240),
'border': (250, 0, 0),
'text': (110, 25, 32),
'symbol': '!',
'padding': [0, 0],
},
'/': {
'background': (92, 102, 15),
'border': (250, 0, 0),
'text': (249, 199, 52),
'symbol': 'a',
'padding': [0, 0],
},
'+': {
'background': (146, 154, 162),
'border': (250, 100, 0),
'text': (44, 61, 81),
'symbol': '+',
'padding': [0, 0],
},
'$': {
'background': (224, 219, 225),
'border': (0, 200, 0),
'text': (96, 106, 53),
'symbol': '$',
'padding': [0, 0],
},
'e': {
'background': (254, 160, 47),
'border': (250, 0, 0),
'text': (222, 102, 0),
'symbol': 'e',
'padding': [0, 0],
},
}
class RogueTile(Tile):
def __init__(self, map_pos, tile_id):
preset = TileDB[tile_id]
Tile.__init__(
self,
size=rogue_size,
map_pos=map_pos,
pos=None,
background_color=preset['background'],
border_color=preset['border'],
symbol=preset['symbol'],
padding=preset['padding'],
text_color=preset['text'])
| [
"[email protected]"
] | |
fe98cd8e2fe048a0813b442454d71bc1d015a7fc | acf7457d3a799cb9bff12686d2d616688bcd4b5b | /packages/python/plotly/plotly/validators/heatmap/legendgrouptitle/font/_color.py | 992adc73b123157b72fc2cd128fd797dbab38c2d | [
"MIT"
] | permissive | plotly/plotly.py | f4f61639f08160f16195efc95b5901dc5a937346 | 975a704074f01c078e0fdfa32bdf17130bf89e69 | refs/heads/master | 2023-09-06T06:15:08.340035 | 2023-08-24T12:28:14 | 2023-08-24T12:28:14 | 14,579,099 | 14,751 | 2,989 | MIT | 2023-09-08T19:55:32 | 2013-11-21T05:53:08 | Python | UTF-8 | Python | false | false | 427 | py | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="heatmap.legendgrouptitle.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)
| [
"[email protected]"
] | |
b104bc898e027c3443ab38096375afb2acb94686 | 9da8754002fa402ad8e6f25659978bd269bbcec8 | /src/25B/cdf_25B.py | 1a7bf3d9cd25f7a4eea1b9be350dfa6db25c93c0 | [
"MIT"
] | permissive | kopok2/CodeforcesSolutionsPython | a00f706dbf368ba0846c8ae86d4145b5dd3e1613 | 35bec0dbcff47765b123b5fe60476014376153df | refs/heads/master | 2023-02-02T03:08:22.097651 | 2020-12-17T22:00:50 | 2020-12-17T22:00:50 | 196,035,812 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 785 | py | class CodeforcesTask25BSolution:
def __init__(self):
self.result = ''
self.n = 0
self.number = ''
def read_input(self):
self.n = int(input())
self.number = input()
def process_task(self):
result = []
if self.n % 2:
result.append(self.number[:3])
self.number = self.number[3:]
a = ""
for c in self.number:
if a:
result.append(a + c)
a = ""
else:
a = c
self.result = "-".join(result)
def get_result(self):
return self.result
if __name__ == "__main__":
Solution = CodeforcesTask25BSolution()
Solution.read_input()
Solution.process_task()
print(Solution.get_result())
| [
"[email protected]"
] | |
8074f01904bff39c1ebfd7683a6d575784de2172 | e0fc7493f4339145792f54bcd7124acea500ca45 | /cpc/utils/ErrorHandler.py | a4971a3eda2ee541bbc19b681e53610fa2d843b3 | [
"BSD-3-Clause"
] | permissive | U-Ar/Cpresto | d52d99e8d44ed01c87c8911614d744cae695d6aa | f723458fb237c9e3e8bc8a6afdf7c81858a65363 | refs/heads/main | 2023-05-14T15:28:38.449783 | 2021-06-06T15:07:14 | 2021-06-06T15:07:14 | 364,445,894 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 937 | py | import sys
class ErrorHandler:
def __init__(self,progid,stream=None):
if stream == None:
self.stream = sys.stderr
else:
self.stream = stream
self.program_id = progid
self.n_error = 0
self.n_warning = 0
def error(self,msg,loc=None):
if loc == None:
self.stream.write(self.program_id+": error: "+msg+"\n")
self.n_error += 1
else :
self.stream.write(self.program_id+": error: "+loc.to_string()+": "+msg+"\n")
self.n_error += 1
def warn(self,msg,loc=None):
if loc == None:
self.stream.write(self.program_id+": warning: "+msg+"\n")
self.n_warning += 1
else :
self.stream.write(self.program_id+": warning: "+loc.to_string()+": "+msg+"\n")
self.n_warning += 1
def error_occured(self):
return self.n_error > 0 | [
"[email protected]"
] | |
a0ef8d57867120d76e7dd3c1b572137bdeb51bf6 | f7550c4964dc8f3c59dbcebe39e947bd6a264dba | /2.OOPS/Exception Handling.py | 05dac8b2c108980738fc273289f4f8795461eb72 | [] | no_license | Jashwanth-k/Data-Structures-and-Algorithms | db5e2e30932e0a35db578c19ae6cff9f147b7c3d | 1ebf9986999a474cb094f3ab04616a46f2887043 | refs/heads/main | 2023-08-25T02:57:17.394322 | 2021-10-11T15:27:56 | 2021-10-11T15:27:56 | 402,448,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 324 | py | while True:
try:
n = int(input('enter the numerator :'))
num = int(n)
n = int(input('enter the denominator :'))
denom = int(n)
value = (num / denom)
print(value)
break
except ValueError:
print('Numerator and Denominator must be integers')
| [
"[email protected]"
] | |
9404e5e1138ec41fc2bad63449226d1cd0cc38c6 | 42c48f3178a48b4a2a0aded547770027bf976350 | /google/ads/google_ads/v4/services/domain_category_service_client_config.py | db4f358f4636c9982c5622eefbd7626ab8796369 | [
"Apache-2.0"
] | permissive | fiboknacky/google-ads-python | e989464a85f28baca1f28d133994c73759e8b4d6 | a5b6cede64f4d9912ae6ad26927a54e40448c9fe | refs/heads/master | 2021-08-07T20:18:48.618563 | 2020-12-11T09:21:29 | 2020-12-11T09:21:29 | 229,712,514 | 0 | 0 | Apache-2.0 | 2019-12-23T08:44:49 | 2019-12-23T08:44:49 | null | UTF-8 | Python | false | false | 815 | py | config = {
"interfaces": {
"google.ads.googleads.v4.services.DomainCategoryService": {
"retry_codes": {
"idempotent": [
"DEADLINE_EXCEEDED",
"UNAVAILABLE"
],
"non_idempotent": []
},
"retry_params": {
"default": {
"initial_retry_delay_millis": 5000,
"retry_delay_multiplier": 1.3,
"max_retry_delay_millis": 60000,
"initial_rpc_timeout_millis": 3600000,
"rpc_timeout_multiplier": 1.0,
"max_rpc_timeout_millis": 3600000,
"total_timeout_millis": 3600000
}
},
"methods": {
"GetDomainCategory": {
"timeout_millis": 60000,
"retry_codes_name": "idempotent",
"retry_params_name": "default"
}
}
}
}
}
| [
"[email protected]"
] | |
4142964e5405ab44216a3c53d6d75234942ac6d4 | 76a8ea60480331f0f61aeb61de55be9a6270e733 | /downloadable-site-packages/Bio/Phylo/TreeConstruction.py | c6c95154385d69c86f76450b142cbf940399a862 | [
"MIT"
] | permissive | bhagyas/Pyto | cd2ec3f35bec703db4ac29b56d17abc4bf03e375 | 907024a9b3e04a2a9de54976778c0e1a56b7b83c | refs/heads/master | 2022-11-19T13:05:07.392454 | 2020-07-21T17:33:39 | 2020-07-21T17:33:39 | 281,886,535 | 2 | 0 | MIT | 2020-07-23T07:48:03 | 2020-07-23T07:48:02 | null | UTF-8 | Python | false | false | 42,982 | py | # Copyright (C) 2013 by Yanbo Ye ([email protected])
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
"""Classes and methods for tree construction."""
import itertools
import copy
from Bio.Phylo import BaseTree
from Bio.Align import MultipleSeqAlignment
from Bio.SubsMat import MatrixInfo
from Bio import _py3k
from Bio._py3k import zip, range
def _is_numeric(x):
"""Return True if is numeric."""
return _py3k._is_int_or_long(x) or isinstance(x, (float, complex))
class _Matrix(object):
"""Base class for distance matrix or scoring matrix.
Accepts a list of names and a lower triangular matrix.::
matrix = [[0],
[1, 0],
[2, 3, 0],
[4, 5, 6, 0]]
represents the symmetric matrix of
[0,1,2,4]
[1,0,3,5]
[2,3,0,6]
[4,5,6,0]
:Parameters:
names : list
names of elements, used for indexing
matrix : list
nested list of numerical lists in lower triangular format
Examples
--------
>>> from Bio.Phylo.TreeConstruction import _Matrix
>>> names = ['Alpha', 'Beta', 'Gamma', 'Delta']
>>> matrix = [[0], [1, 0], [2, 3, 0], [4, 5, 6, 0]]
>>> m = _Matrix(names, matrix)
>>> m
_Matrix(names=['Alpha', 'Beta', 'Gamma', 'Delta'], matrix=[[0], [1, 0], [2, 3, 0], [4, 5, 6, 0]])
You can use two indices to get or assign an element in the matrix.
>>> m[1,2]
3
>>> m['Beta','Gamma']
3
>>> m['Beta','Gamma'] = 4
>>> m['Beta','Gamma']
4
Further more, you can use one index to get or assign a list of elements related to that index.
>>> m[0]
[0, 1, 2, 4]
>>> m['Alpha']
[0, 1, 2, 4]
>>> m['Alpha'] = [0, 7, 8, 9]
>>> m[0]
[0, 7, 8, 9]
>>> m[0,1]
7
Also you can delete or insert a column&row of elemets by index.
>>> m
_Matrix(names=['Alpha', 'Beta', 'Gamma', 'Delta'], matrix=[[0], [7, 0], [8, 4, 0], [9, 5, 6, 0]])
>>> del m['Alpha']
>>> m
_Matrix(names=['Beta', 'Gamma', 'Delta'], matrix=[[0], [4, 0], [5, 6, 0]])
>>> m.insert('Alpha', [0, 7, 8, 9] , 0)
>>> m
_Matrix(names=['Alpha', 'Beta', 'Gamma', 'Delta'], matrix=[[0], [7, 0], [8, 4, 0], [9, 5, 6, 0]])
"""
def __init__(self, names, matrix=None):
"""Initialize matrix.
Arguments are a list of names, and optionally a list of lower
triangular matrix data (zero matrix used by default).
"""
# check names
if isinstance(names, list) and all(isinstance(s, str) for s in names):
if len(set(names)) == len(names):
self.names = names
else:
raise ValueError("Duplicate names found")
else:
raise TypeError("'names' should be a list of strings")
# check matrix
if matrix is None:
# create a new one with 0 if matrix is not assigned
matrix = [[0] * i for i in range(1, len(self) + 1)]
self.matrix = matrix
else:
# check if all elements are numbers
if (isinstance(matrix, list) and
all(isinstance(l, list) for l in matrix) and
all(_is_numeric(n) for n in [item for sublist in matrix
for item in sublist])):
# check if the same length with names
if len(matrix) == len(names):
# check if is lower triangle format
if [len(m) for m in matrix] == list(range(1, len(self) + 1)):
self.matrix = matrix
else:
raise ValueError(
"'matrix' should be in lower triangle format")
else:
raise ValueError(
"'names' and 'matrix' should be the same size")
else:
raise TypeError("'matrix' should be a list of numerical lists")
def __getitem__(self, item):
"""Access value(s) by the index(s) or name(s).
For a _Matrix object 'dm'::
dm[i] get a value list from the given 'i' to others;
dm[i, j] get the value between 'i' and 'j';
dm['name'] map name to index first
dm['name1', 'name2'] map name to index first
"""
# Handle single indexing
if isinstance(item, (int, str)):
index = None
if isinstance(item, int):
index = item
elif isinstance(item, str):
if item in self.names:
index = self.names.index(item)
else:
raise ValueError("Item not found.")
else:
raise TypeError("Invalid index type.")
# check index
if index > len(self) - 1:
raise IndexError("Index out of range.")
return [self.matrix[index][i] for i in range(0, index)] + [self.matrix[i][index] for i in range(index, len(self))]
# Handle double indexing
elif len(item) == 2:
row_index = None
col_index = None
if all(isinstance(i, int) for i in item):
row_index, col_index = item
elif all(isinstance(i, str) for i in item):
row_name, col_name = item
if row_name in self.names and col_name in self.names:
row_index = self.names.index(row_name)
col_index = self.names.index(col_name)
else:
raise ValueError("Item not found.")
else:
raise TypeError("Invalid index type.")
# check index
if row_index > len(self) - 1 or col_index > len(self) - 1:
raise IndexError("Index out of range.")
if row_index > col_index:
return self.matrix[row_index][col_index]
else:
return self.matrix[col_index][row_index]
else:
raise TypeError("Invalid index type.")
def __setitem__(self, item, value):
"""Set value by the index(s) or name(s).
Similar to __getitem__::
dm[1] = [1, 0, 3, 4] set values from '1' to others;
dm[i, j] = 2 set the value from 'i' to 'j'
"""
# Handle single indexing
if isinstance(item, (int, str)):
index = None
if isinstance(item, int):
index = item
elif isinstance(item, str):
if item in self.names:
index = self.names.index(item)
else:
raise ValueError("Item not found.")
else:
raise TypeError("Invalid index type.")
# check index
if index > len(self) - 1:
raise IndexError("Index out of range.")
# check and assign value
if isinstance(value, list) and all(_is_numeric(n) for n in value):
if len(value) == len(self):
for i in range(0, index):
self.matrix[index][i] = value[i]
for i in range(index, len(self)):
self.matrix[i][index] = value[i]
else:
raise ValueError("Value not the same size.")
else:
raise TypeError("Invalid value type.")
# Handle double indexing
elif len(item) == 2:
row_index = None
col_index = None
if all(isinstance(i, int) for i in item):
row_index, col_index = item
elif all(isinstance(i, str) for i in item):
row_name, col_name = item
if row_name in self.names and col_name in self.names:
row_index = self.names.index(row_name)
col_index = self.names.index(col_name)
else:
raise ValueError("Item not found.")
else:
raise TypeError("Invalid index type.")
# check index
if row_index > len(self) - 1 or col_index > len(self) - 1:
raise IndexError("Index out of range.")
# check and assign value
if _is_numeric(value):
if row_index > col_index:
self.matrix[row_index][col_index] = value
else:
self.matrix[col_index][row_index] = value
else:
raise TypeError("Invalid value type.")
else:
raise TypeError("Invalid index type.")
def __delitem__(self, item):
"""Delete related distances by the index or name."""
index = None
if isinstance(item, int):
index = item
elif isinstance(item, str):
index = self.names.index(item)
else:
raise TypeError("Invalid index type.")
# remove distances related to index
for i in range(index + 1, len(self)):
del self.matrix[i][index]
del self.matrix[index]
# remove name
del self.names[index]
def insert(self, name, value, index=None):
"""Insert distances given the name and value.
:Parameters:
name : str
name of a row/col to be inserted
value : list
a row/col of values to be inserted
"""
if isinstance(name, str):
# insert at the given index or at the end
if index is None:
index = len(self)
if not isinstance(index, int):
raise TypeError("Invalid index type.")
# insert name
self.names.insert(index, name)
# insert elements of 0, to be assigned
self.matrix.insert(index, [0] * index)
for i in range(index, len(self)):
self.matrix[i].insert(index, 0)
# assign value
self[index] = value
else:
raise TypeError("Invalid name type.")
def __len__(self):
"""Matrix length."""
return len(self.names)
def __repr__(self):
"""Return Matrix as a string."""
return self.__class__.__name__ \
+ "(names=%s, matrix=%s)" \
% tuple(map(repr, (self.names, self.matrix)))
def __str__(self):
"""Get a lower triangular matrix string."""
matrix_string = '\n'.join(
[self.names[i] + "\t" + "\t".join([str(n) for n in self.matrix[i]])
for i in range(0, len(self))])
matrix_string = matrix_string + "\n\t" + "\t".join(self.names)
return matrix_string
class DistanceMatrix(_Matrix):
"""Distance matrix class that can be used for distance based tree algorithms.
All diagonal elements will be zero no matter what the users provide.
"""
def __init__(self, names, matrix=None):
"""Initialize the class."""
_Matrix.__init__(self, names, matrix)
self._set_zero_diagonal()
def __setitem__(self, item, value):
"""Set Matrix's items to values."""
_Matrix.__setitem__(self, item, value)
self._set_zero_diagonal()
def _set_zero_diagonal(self):
"""Set all diagonal elements to zero (PRIVATE)."""
for i in range(0, len(self)):
self.matrix[i][i] = 0
def format_phylip(self, handle):
"""Write data in Phylip format to a given file-like object or handle.
The output stream is the input distance matrix format used with Phylip
programs (e.g. 'neighbor'). See:
http://evolution.genetics.washington.edu/phylip/doc/neighbor.html
:Parameters:
handle : file or file-like object
A writeable file handle or other object supporting the 'write'
method, such as StringIO or sys.stdout. On Python 3, should be
open in text mode.
"""
handle.write(" {0}\n".format(len(self.names)))
# Phylip needs space-separated, vertically aligned columns
name_width = max(12, max(map(len, self.names)) + 1)
value_fmts = ("{" + str(x) + ":.4f}"
for x in range(1, len(self.matrix) + 1))
row_fmt = "{0:" + str(name_width) + "s}" + " ".join(value_fmts) + "\n"
for i, (name, values) in enumerate(zip(self.names, self.matrix)):
# Mirror the matrix values across the diagonal
mirror_values = (self.matrix[j][i]
for j in range(i + 1, len(self.matrix)))
fields = itertools.chain([name], values, mirror_values)
handle.write(row_fmt.format(*fields))
# Shim for compatibility with Biopython<1.70 (#1304)
_DistanceMatrix = DistanceMatrix
class DistanceCalculator(object):
"""Class to calculate the distance matrix from a DNA or Protein.
Multiple Sequence Alignment(MSA) and the given name of the
substitution model.
Currently only scoring matrices are used.
:Parameters:
model : str
Name of the model matrix to be used to calculate distance.
The attribute ``dna_matrices`` contains the available model
names for DNA sequences and ``protein_matrices`` for protein
sequences.
Examples
--------
>>> from Bio.Phylo.TreeConstruction import DistanceCalculator
>>> from Bio import AlignIO
>>> aln = AlignIO.read(open('Tests/TreeConstruction/msa.phy'), 'phylip')
>>> print(aln)
SingleLetterAlphabet() alignment with 5 rows and 13 columns
AACGTGGCCACAT Alpha
AAGGTCGCCACAC Beta
GAGATTTCCGCCT Delta
GAGATCTCCGCCC Epsilon
CAGTTCGCCACAA Gamma
DNA calculator with 'identity' model::
>>> calculator = DistanceCalculator('identity')
>>> dm = calculator.get_distance(aln)
>>> print(dm)
Alpha 0
Beta 0.230769230769 0
Gamma 0.384615384615 0.230769230769 0
Delta 0.538461538462 0.538461538462 0.538461538462 0
Epsilon 0.615384615385 0.384615384615 0.461538461538 0.153846153846 0
Alpha Beta Gamma Delta Epsilon
Protein calculator with 'blosum62' model::
>>> calculator = DistanceCalculator('blosum62')
>>> dm = calculator.get_distance(aln)
>>> print(dm)
Alpha 0
Beta 0.369047619048 0
Gamma 0.493975903614 0.25 0
Delta 0.585365853659 0.547619047619 0.566265060241 0
Epsilon 0.7 0.355555555556 0.488888888889 0.222222222222 0
Alpha Beta Gamma Delta Epsilon
"""
dna_alphabet = ['A', 'T', 'C', 'G']
# BLAST nucleic acid scoring matrix
blastn = [[5],
[-4, 5],
[-4, -4, 5],
[-4, -4, -4, 5]]
# transition/transversion scoring matrix
trans = [[6],
[-5, 6],
[-5, -1, 6],
[-1, -5, -5, 6]]
protein_alphabet = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'K', 'L',
'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'X', 'Y',
'Z']
# matrices available
dna_matrices = {'blastn': blastn, 'trans': trans}
protein_models = MatrixInfo.available_matrices
protein_matrices = {name: getattr(MatrixInfo, name)
for name in protein_models}
dna_models = list(dna_matrices.keys())
models = ['identity'] + dna_models + protein_models
def __init__(self, model='identity', skip_letters=None):
"""Initialize with a distance model."""
# Shim for backward compatibility (#491)
if skip_letters:
self.skip_letters = skip_letters
elif model == 'identity':
self.skip_letters = ()
else:
self.skip_letters = ('-', '*')
if model == 'identity':
self.scoring_matrix = None
elif model in self.dna_models:
self.scoring_matrix = _Matrix(self.dna_alphabet,
self.dna_matrices[model])
elif model in self.protein_models:
self.scoring_matrix = self._build_protein_matrix(
self.protein_matrices[model])
else:
raise ValueError("Model not supported. Available models: " +
", ".join(self.models))
def _pairwise(self, seq1, seq2):
"""Calculate pairwise distance from two sequences (PRIVATE).
Returns a value between 0 (identical sequences) and 1 (completely
different, or seq1 is an empty string.)
"""
score = 0
max_score = 0
if self.scoring_matrix:
max_score1 = 0
max_score2 = 0
for i in range(0, len(seq1)):
l1 = seq1[i]
l2 = seq2[i]
if l1 in self.skip_letters or l2 in self.skip_letters:
continue
if l1 not in self.scoring_matrix.names:
raise ValueError("Bad alphabet '%s' in sequence '%s' at position '%s'"
% (l1, seq1.id, i))
if l2 not in self.scoring_matrix.names:
raise ValueError("Bad alphabet '%s' in sequence '%s' at position '%s'"
% (l2, seq2.id, i))
max_score1 += self.scoring_matrix[l1, l1]
max_score2 += self.scoring_matrix[l2, l2]
score += self.scoring_matrix[l1, l2]
# Take the higher score if the matrix is asymmetrical
max_score = max(max_score1, max_score2)
else:
# Score by character identity, not skipping any special letters
score = sum(l1 == l2
for l1, l2 in zip(seq1, seq2)
if l1 not in self.skip_letters and l2 not in self.skip_letters)
max_score = len(seq1)
if max_score == 0:
return 1 # max possible scaled distance
return 1 - (score * 1.0 / max_score)
def get_distance(self, msa):
"""Return a DistanceMatrix for MSA object.
:Parameters:
msa : MultipleSeqAlignment
DNA or Protein multiple sequence alignment.
"""
if not isinstance(msa, MultipleSeqAlignment):
raise TypeError("Must provide a MultipleSeqAlignment object.")
names = [s.id for s in msa]
dm = DistanceMatrix(names)
for seq1, seq2 in itertools.combinations(msa, 2):
dm[seq1.id, seq2.id] = self._pairwise(seq1, seq2)
return dm
def _build_protein_matrix(self, subsmat):
"""Convert matrix from SubsMat format to _Matrix object (PRIVATE)."""
protein_matrix = _Matrix(self.protein_alphabet)
for k, v in subsmat.items():
aa1, aa2 = k
protein_matrix[aa1, aa2] = v
return protein_matrix
class TreeConstructor(object):
"""Base class for all tree constructor."""
def build_tree(self, msa):
"""Caller to built the tree from a MultipleSeqAlignment object.
This should be implemented in subclass.
"""
raise NotImplementedError("Method not implemented!")
class DistanceTreeConstructor(TreeConstructor):
"""Distance based tree constructor.
:Parameters:
method : str
Distance tree construction method, 'nj'(default) or 'upgma'.
distance_calculator : DistanceCalculator
The distance matrix calculator for multiple sequence alignment.
It must be provided if ``build_tree`` will be called.
Examples
--------
>>> from TreeConstruction import DistanceTreeConstructor
>>> constructor = DistanceTreeConstructor()
UPGMA Tree:
>>> from Bio.Phylo.TreeConstruction import DistanceCalculator
>>> from Bio import AlignIO
>>> aln = AlignIO.read(open('Tests/TreeConstruction/msa.phy'), 'phylip')
>>> calculator = DistanceCalculator('identity')
>>> dm = calculator.get_distance(aln)
>>> upgmatree = constructor.upgma(dm)
>>> print(upgmatree)
Tree(rooted=True)
Clade(name='Inner4')
Clade(branch_length=0.171955155115, name='Inner1')
Clade(branch_length=0.111111111111, name='Epsilon')
Clade(branch_length=0.111111111111, name='Delta')
Clade(branch_length=0.0673103855608, name='Inner3')
Clade(branch_length=0.0907558806655, name='Inner2')
Clade(branch_length=0.125, name='Gamma')
Clade(branch_length=0.125, name='Beta')
Clade(branch_length=0.215755880666, name='Alpha')
NJ Tree:
>>> njtree = constructor.nj(dm)
>>> print(njtree)
Tree(rooted=False)
Clade(name='Inner3')
Clade(branch_length=0.0142054862889, name='Inner2')
Clade(branch_length=0.239265540676, name='Inner1')
Clade(branch_length=0.0853101915988, name='Epsilon')
Clade(branch_length=0.136912030623, name='Delta')
Clade(branch_length=0.292306275042, name='Alpha')
Clade(branch_length=0.0747705106139, name='Beta')
Clade(branch_length=0.175229489386, name='Gamma')
"""
methods = ['nj', 'upgma']
def __init__(self, distance_calculator=None, method="nj"):
"""Initialize the class."""
if (distance_calculator is None or isinstance(distance_calculator, DistanceCalculator)):
self.distance_calculator = distance_calculator
else:
raise TypeError("Must provide a DistanceCalculator object.")
if isinstance(method, str) and method in self.methods:
self.method = method
else:
raise TypeError("Bad method: " + method +
". Available methods: " + ", ".join(self.methods))
def build_tree(self, msa):
"""Construct and return a Tree, Neighbor Joining or UPGMA."""
if self.distance_calculator:
dm = self.distance_calculator.get_distance(msa)
tree = None
if self.method == 'upgma':
tree = self.upgma(dm)
else:
tree = self.nj(dm)
return tree
else:
raise TypeError("Must provide a DistanceCalculator object.")
def upgma(self, distance_matrix):
"""Construct and return an UPGMA tree.
Constructs and returns an Unweighted Pair Group Method
with Arithmetic mean (UPGMA) tree.
:Parameters:
distance_matrix : DistanceMatrix
The distance matrix for tree construction.
"""
if not isinstance(distance_matrix, DistanceMatrix):
raise TypeError("Must provide a DistanceMatrix object.")
# make a copy of the distance matrix to be used
dm = copy.deepcopy(distance_matrix)
# init terminal clades
clades = [BaseTree.Clade(None, name) for name in dm.names]
# init minimum index
min_i = 0
min_j = 0
inner_count = 0
while len(dm) > 1:
min_dist = dm[1, 0]
# find minimum index
for i in range(1, len(dm)):
for j in range(0, i):
if min_dist >= dm[i, j]:
min_dist = dm[i, j]
min_i = i
min_j = j
# create clade
clade1 = clades[min_i]
clade2 = clades[min_j]
inner_count += 1
inner_clade = BaseTree.Clade(None, "Inner" + str(inner_count))
inner_clade.clades.append(clade1)
inner_clade.clades.append(clade2)
# assign branch length
if clade1.is_terminal():
clade1.branch_length = min_dist * 1.0 / 2
else:
clade1.branch_length = min_dist * \
1.0 / 2 - self._height_of(clade1)
if clade2.is_terminal():
clade2.branch_length = min_dist * 1.0 / 2
else:
clade2.branch_length = min_dist * \
1.0 / 2 - self._height_of(clade2)
# update node list
clades[min_j] = inner_clade
del clades[min_i]
# rebuild distance matrix,
# set the distances of new node at the index of min_j
for k in range(0, len(dm)):
if k != min_i and k != min_j:
dm[min_j, k] = (dm[min_i, k] + dm[min_j, k]) * 1.0 / 2
dm.names[min_j] = "Inner" + str(inner_count)
del dm[min_i]
inner_clade.branch_length = 0
return BaseTree.Tree(inner_clade)
def nj(self, distance_matrix):
"""Construct and return a Neighbor Joining tree.
:Parameters:
distance_matrix : DistanceMatrix
The distance matrix for tree construction.
"""
if not isinstance(distance_matrix, DistanceMatrix):
raise TypeError("Must provide a DistanceMatrix object.")
# make a copy of the distance matrix to be used
dm = copy.deepcopy(distance_matrix)
# init terminal clades
clades = [BaseTree.Clade(None, name) for name in dm.names]
# init node distance
node_dist = [0] * len(dm)
# init minimum index
min_i = 0
min_j = 0
inner_count = 0
# special cases for Minimum Alignment Matrices
if len(dm) == 1:
root = clades[0]
return BaseTree.Tree(root, rooted=False)
elif len(dm) == 2:
# minimum distance will always be [1,0]
min_i = 1
min_j = 0
clade1 = clades[min_i]
clade2 = clades[min_j]
clade1.branch_length = dm[min_i, min_j] / 2.0
clade2.branch_length = dm[min_i, min_j] - clade1.branch_length
inner_clade = BaseTree.Clade(None, "Inner")
inner_clade.clades.append(clade1)
inner_clade.clades.append(clade2)
clades[0] = inner_clade
root = clades[0]
return BaseTree.Tree(root, rooted=False)
while len(dm) > 2:
# calculate nodeDist
for i in range(0, len(dm)):
node_dist[i] = 0
for j in range(0, len(dm)):
node_dist[i] += dm[i, j]
node_dist[i] = node_dist[i] / (len(dm) - 2)
# find minimum distance pair
min_dist = dm[1, 0] - node_dist[1] - node_dist[0]
min_i = 0
min_j = 1
for i in range(1, len(dm)):
for j in range(0, i):
temp = dm[i, j] - node_dist[i] - node_dist[j]
if min_dist > temp:
min_dist = temp
min_i = i
min_j = j
# create clade
clade1 = clades[min_i]
clade2 = clades[min_j]
inner_count += 1
inner_clade = BaseTree.Clade(None, "Inner" + str(inner_count))
inner_clade.clades.append(clade1)
inner_clade.clades.append(clade2)
# assign branch length
clade1.branch_length = (dm[min_i, min_j] + node_dist[min_i] -
node_dist[min_j]) / 2.0
clade2.branch_length = dm[min_i, min_j] - clade1.branch_length
# update node list
clades[min_j] = inner_clade
del clades[min_i]
# rebuild distance matrix,
# set the distances of new node at the index of min_j
for k in range(0, len(dm)):
if k != min_i and k != min_j:
dm[min_j, k] = (dm[min_i, k] + dm[min_j, k] -
dm[min_i, min_j]) / 2.0
dm.names[min_j] = "Inner" + str(inner_count)
del dm[min_i]
# set the last clade as one of the child of the inner_clade
root = None
if clades[0] == inner_clade:
clades[0].branch_length = 0
clades[1].branch_length = dm[1, 0]
clades[0].clades.append(clades[1])
root = clades[0]
else:
clades[0].branch_length = dm[1, 0]
clades[1].branch_length = 0
clades[1].clades.append(clades[0])
root = clades[1]
return BaseTree.Tree(root, rooted=False)
def _height_of(self, clade):
"""Calculate clade height -- the longest path to any terminal (PRIVATE)."""
height = 0
if clade.is_terminal():
height = clade.branch_length
else:
height = height + max(self._height_of(c) for c in clade.clades)
return height
# #################### Tree Scoring and Searching Classes #####################
class Scorer(object):
"""Base class for all tree scoring methods."""
def get_score(self, tree, alignment):
"""Caller to get the score of a tree for the given alignment.
This should be implemented in subclass.
"""
raise NotImplementedError("Method not implemented!")
class TreeSearcher(object):
"""Base class for all tree searching methods."""
def search(self, starting_tree, alignment):
"""Caller to search the best tree with a starting tree.
This should be implemented in subclass.
"""
raise NotImplementedError("Method not implemented!")
class NNITreeSearcher(TreeSearcher):
"""Tree searching with Nearest Neighbor Interchanges (NNI) algorithm.
:Parameters:
scorer : ParsimonyScorer
parsimony scorer to calculate the parsimony score of
different trees during NNI algorithm.
"""
def __init__(self, scorer):
"""Initialize the class."""
if isinstance(scorer, Scorer):
self.scorer = scorer
else:
raise TypeError("Must provide a Scorer object.")
def search(self, starting_tree, alignment):
"""Implement the TreeSearcher.search method.
:Parameters:
starting_tree : Tree
starting tree of NNI method.
alignment : MultipleSeqAlignment
multiple sequence alignment used to calculate parsimony
score of different NNI trees.
"""
return self._nni(starting_tree, alignment)
def _nni(self, starting_tree, alignment):
"""Search for the best parsimony tree using the NNI algorithm (PRIVATE)."""
best_tree = starting_tree
while True:
best_score = self.scorer.get_score(best_tree, alignment)
temp = best_score
for t in self._get_neighbors(best_tree):
score = self.scorer.get_score(t, alignment)
if score < best_score:
best_score = score
best_tree = t
# stop if no smaller score exist
if best_score >= temp:
break
return best_tree
def _get_neighbors(self, tree):
"""Get all neighbor trees of the given tree (PRIVATE).
Currently only for binary rooted trees.
"""
# make child to parent dict
parents = {}
for clade in tree.find_clades():
if clade != tree.root:
node_path = tree.get_path(clade)
# cannot get the parent if the parent is root. Bug?
if len(node_path) == 1:
parents[clade] = tree.root
else:
parents[clade] = node_path[-2]
neighbors = []
root_childs = []
for clade in tree.get_nonterminals(order="level"):
if clade == tree.root:
left = clade.clades[0]
right = clade.clades[1]
root_childs.append(left)
root_childs.append(right)
if not left.is_terminal() and not right.is_terminal():
# make changes around the left_left clade
# left_left = left.clades[0]
left_right = left.clades[1]
right_left = right.clades[0]
right_right = right.clades[1]
# neightbor 1 (left_left + right_right)
del left.clades[1]
del right.clades[1]
left.clades.append(right_right)
right.clades.append(left_right)
temp_tree = copy.deepcopy(tree)
neighbors.append(temp_tree)
# neighbor 2 (left_left + right_left)
del left.clades[1]
del right.clades[0]
left.clades.append(right_left)
right.clades.append(right_right)
temp_tree = copy.deepcopy(tree)
neighbors.append(temp_tree)
# change back (left_left + left_right)
del left.clades[1]
del right.clades[0]
left.clades.append(left_right)
right.clades.insert(0, right_left)
elif clade in root_childs:
# skip root child
continue
else:
# method for other clades
# make changes around the parent clade
left = clade.clades[0]
right = clade.clades[1]
parent = parents[clade]
if clade == parent.clades[0]:
sister = parent.clades[1]
# neighbor 1 (parent + right)
del parent.clades[1]
del clade.clades[1]
parent.clades.append(right)
clade.clades.append(sister)
temp_tree = copy.deepcopy(tree)
neighbors.append(temp_tree)
# neighbor 2 (parent + left)
del parent.clades[1]
del clade.clades[0]
parent.clades.append(left)
clade.clades.append(right)
temp_tree = copy.deepcopy(tree)
neighbors.append(temp_tree)
# change back (parent + sister)
del parent.clades[1]
del clade.clades[0]
parent.clades.append(sister)
clade.clades.insert(0, left)
else:
sister = parent.clades[0]
# neighbor 1 (parent + right)
del parent.clades[0]
del clade.clades[1]
parent.clades.insert(0, right)
clade.clades.append(sister)
temp_tree = copy.deepcopy(tree)
neighbors.append(temp_tree)
# neighbor 2 (parent + left)
del parent.clades[0]
del clade.clades[0]
parent.clades.insert(0, left)
clade.clades.append(right)
temp_tree = copy.deepcopy(tree)
neighbors.append(temp_tree)
# change back (parent + sister)
del parent.clades[0]
del clade.clades[0]
parent.clades.insert(0, sister)
clade.clades.insert(0, left)
return neighbors
# ######################## Parsimony Classes ##########################
class ParsimonyScorer(Scorer):
"""Parsimony scorer with a scoring matrix.
This is a combination of Fitch algorithm and Sankoff algorithm.
See ParsimonyTreeConstructor for usage.
:Parameters:
matrix : _Matrix
scoring matrix used in parsimony score calculation.
"""
def __init__(self, matrix=None):
"""Initialize the class."""
if not matrix or isinstance(matrix, _Matrix):
self.matrix = matrix
else:
raise TypeError("Must provide a _Matrix object.")
def get_score(self, tree, alignment):
"""Calculate parsimony score using the Fitch algorithm.
Calculate and return the parsimony score given a tree and the
MSA using either the Fitch algorithm (without a penalty matrix)
or the Sankoff algorithm (with a matrix).
"""
# make sure the tree is rooted and bifurcating
if not tree.is_bifurcating():
raise ValueError("The tree provided should be bifurcating.")
if not tree.rooted:
tree.root_at_midpoint()
# sort tree terminals and alignment
terms = tree.get_terminals()
terms.sort(key=lambda term: term.name)
alignment.sort()
if not all(t.name == a.id for t, a in zip(terms, alignment)):
raise ValueError(
"Taxon names of the input tree should be the same with the alignment.")
# term_align = dict(zip(terms, alignment))
score = 0
for i in range(len(alignment[0])):
# parsimony score for column_i
score_i = 0
# get column
column_i = alignment[:, i]
# skip non-informative column
if column_i == len(column_i) * column_i[0]:
continue
# start calculating score_i using the tree and column_i
# Fitch algorithm without the penalty matrix
if not self.matrix:
# init by mapping terminal clades and states in column_i
clade_states = dict(zip(terms, [{c} for c in column_i]))
for clade in tree.get_nonterminals(order="postorder"):
clade_childs = clade.clades
left_state = clade_states[clade_childs[0]]
right_state = clade_states[clade_childs[1]]
state = left_state & right_state
if not state:
state = left_state | right_state
score_i = score_i + 1
clade_states[clade] = state
# Sankoff algorithm with the penalty matrix
else:
inf = float('inf')
# init score arrays for terminal clades
alphabet = self.matrix.names
length = len(alphabet)
clade_scores = {}
for j in range(len(column_i)):
array = [inf] * length
index = alphabet.index(column_i[j])
array[index] = 0
clade_scores[terms[j]] = array
# bottom up calculation
for clade in tree.get_nonterminals(order="postorder"):
clade_childs = clade.clades
left_score = clade_scores[clade_childs[0]]
right_score = clade_scores[clade_childs[1]]
array = []
for m in range(length):
min_l = inf
min_r = inf
for n in range(length):
sl = self.matrix[
alphabet[m], alphabet[n]] + left_score[n]
sr = self.matrix[
alphabet[m], alphabet[n]] + right_score[n]
if min_l > sl:
min_l = sl
if min_r > sr:
min_r = sr
array.append(min_l + min_r)
clade_scores[clade] = array
# minimum from root score
score_i = min(array)
# TODO: resolve internal states
score = score + score_i
return score
class ParsimonyTreeConstructor(TreeConstructor):
"""Parsimony tree constructor.
:Parameters:
searcher : TreeSearcher
tree searcher to search the best parsimony tree.
starting_tree : Tree
starting tree provided to the searcher.
Examples
--------
>>> from Bio import AlignIO, Phylo
>>> aln = AlignIO.read(open('Tests/TreeConstruction/msa.phy'), 'phylip')
>>> print(aln)
SingleLetterAlphabet() alignment with 5 rows and 13 columns
AACGTGGCCACAT Alpha
AAGGTCGCCACAC Beta
GAGATTTCCGCCT Delta
GAGATCTCCGCCC Epsilon
CAGTTCGCCACAA Gamma
>>> starting_tree = Phylo.read('Tests/TreeConstruction/nj.tre', 'newick')
>>> print(starting_tree)
Tree(weight=1.0, rooted=False)
Clade(branch_length=0.0, name='Inner3')
Clade(branch_length=0.01421, name='Inner2')
Clade(branch_length=0.23927, name='Inner1')
Clade(branch_length=0.08531, name='Epsilon')
Clade(branch_length=0.13691, name='Delta')
Clade(branch_length=0.29231, name='Alpha')
Clade(branch_length=0.07477, name='Beta')
Clade(branch_length=0.17523, name='Gamma')
>>> scorer = ParsimonyScorer()
>>> searcher = NNITreeSearcher(scorer)
>>> constructor = ParsimonyTreeConstructor(searcher, starting_tree)
>>> pars_tree = constructor.build_tree(aln)
>>> print(pars_tree)
Tree(weight=1.0, rooted=True)
Clade(branch_length=0.0)
Clade(branch_length=0.197335, name='Inner1')
Clade(branch_length=0.13691, name='Delta')
Clade(branch_length=0.08531, name='Epsilon')
Clade(branch_length=0.041935, name='Inner2')
Clade(branch_length=0.01421, name='Inner3')
Clade(branch_length=0.17523, name='Gamma')
Clade(branch_length=0.07477, name='Beta')
Clade(branch_length=0.29231, name='Alpha')
"""
def __init__(self, searcher, starting_tree=None):
"""Initialize the class."""
self.searcher = searcher
self.starting_tree = starting_tree
def build_tree(self, alignment):
"""Build the tree.
:Parameters:
alignment : MultipleSeqAlignment
multiple sequence alignment to calculate parsimony tree.
"""
# if starting_tree is none,
# create a upgma tree with 'identity' scoring matrix
if self.starting_tree is None:
dtc = DistanceTreeConstructor(DistanceCalculator("identity"),
"upgma")
self.starting_tree = dtc.build_tree(alignment)
return self.searcher.search(self.starting_tree, alignment)
| [
"[email protected]"
] | |
9cb938048f68b47602170f1e3f23275c9c1e5941 | 9594585cc05dded72740774a3d6058971386dd9a | /boss/core/exc.py | 80e4e91c50c60fee37aa3030542ce45190324e3a | [
"BSD-3-Clause"
] | permissive | derks/boss | 3a22044d9542ba249f95fd7081e86f3451c16134 | 8b81ddfb9b44dab018329a304a5e5a75fa20b060 | refs/heads/master | 2021-01-18T05:37:47.894064 | 2013-06-27T21:01:20 | 2013-06-27T21:01:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 428 | py | """Boss core exceptions module."""
class BossError(Exception):
"""Generic errors."""
def __init__(self, msg):
Exception.__init__(self)
self.msg = msg
def __str__(self):
return self.msg
class BossConfigError(BossError):
pass
class BossRuntimeError(BossError):
pass
class BossArgumentError(BossError):
pass
class BossTemplateError(BossError):
pass | [
"[email protected]"
] | |
9bf5e88c23ba62c7ced22432faab87c0a1c3156b | 7a73fef9ae426c48573bae41447cef7cb2b97bf6 | /dynamicserialize/dstypes/com/raytheon/uf/common/activetable/request/MergeActiveTableRequest.py | b3377e84d97d8c41ce0f2b475a4807acc2653016 | [
"LicenseRef-scancode-public-domain",
"BSD-3-Clause"
] | permissive | mjames-upc/python-awips | 7f0a80a04457224c9e195b82a95eef4d9b2b3091 | e2b05f5587b02761df3b6dd5c6ee1f196bd5f11c | refs/heads/master | 2020-03-31T03:00:49.540816 | 2018-10-05T23:15:42 | 2018-10-05T23:15:42 | 53,707,817 | 0 | 0 | null | 2017-04-12T18:00:59 | 2016-03-12T01:46:57 | Python | UTF-8 | Python | false | false | 2,304 | py | ##
##
# File auto-generated against equivalent DynamicSerialize Java class
class MergeActiveTableRequest(object):
def __init__(self, incomingRecords=[], tableName='PRACTICE', site=None,
timeOffset=0.0, xmlSource=None, fromIngestAT=False,
makeBackups=True):
self.incomingRecords = incomingRecords
self.site = site
self.tableName = tableName.upper() if tableName.upper() in ['OPERATIONAL', 'PRACTICE'] else 'PRACTICE'
self.timeOffset = float(timeOffset)
self.xmlSource = xmlSource
self.fromIngestAT = bool(fromIngestAT)
self.makeBackups = bool(makeBackups)
def __repr__(self):
retVal = "MergeActiveTableRequest("
retVal += repr(self.incomingRecords) + ", "
retVal += repr(self.tableName) + ", "
retVal += repr(self.site) + ", "
retVal += repr(self.timeOffset) + ", "
retVal += repr(self.xmlSource) + ", "
retVal += repr(self.fromIngestAT) + ", "
retVal += repr(self.makeBackups) + ")"
return retVal
def __str__(self):
return self.__repr__()
def getIncomingRecords(self):
return self.incomingRecords
def setIncomingRecords(self, incomingRecords):
self.incomingRecords = incomingRecords
def getTableName(self):
return self.tableName
def setTableName(self, tableName):
value = tableName.upper()
if value not in ['OPERATIONAL', 'PRACTICE']:
raise ValueError("Invalid value " + tableName + " specified for ActiveTableMode.")
self.tableName = value
def getSite(self):
return self.site
def setSite(self, site):
self.site = site
def getTimeOffset(self):
return self.timeOffset
def setTimeOffset(self, timeOffset):
self.timeOffset = float(timeOffset)
def getXmlSource(self):
return self.xmlSource
def setXmlSource(self, xmlSource):
self.xmlSource = xmlSource
def getFromIngestAT(self):
return self.fromIngestAT
def setFromIngestAT(self, fromIngestAT):
self.fromIngestAT = bool(fromIngestAT)
def getMakeBackups(self):
return self.makeBackups
def setMakeBackups(self, makeBackups):
self.makeBackups = bool(makeBackups)
| [
"[email protected]"
] | |
7a5c1835b9399907b133264cb54216162991db72 | 0a775e8d1057b2608a8d46499124105776ff4062 | /web/manage.py | c5cff1a9dce87821e9827c52812f60cd4df2e7c3 | [
"MIT"
] | permissive | x5g/CubeSolver | f3a1ad6e5e3bd5a2becc10a002d473f2902ec867 | 451ae8f580038d3840cd9279cbdbcd2c13f5045d | refs/heads/master | 2022-07-19T06:59:53.505115 | 2021-04-30T16:09:47 | 2021-04-30T16:09:47 | 217,885,447 | 1 | 1 | MIT | 2022-06-22T02:38:46 | 2019-10-27T16:44:49 | Python | UTF-8 | Python | false | false | 630 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'CubeSolver.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
| [
"[email protected]"
] | |
5a2be43121e2fbabfc3199ed5c3014b5bf1cd034 | 803ff496aff9eef77f3186991878b6f16e54ba0a | /customer_support/views.py | 83fd375d8b727d67dc000ab4457b99c6ea137792 | [] | no_license | gopal1992/ssadmin | c54dae22dd69e48730affc1cdba0c0ee17b1e48c | 96370e8fc108843a70b326d5b136be94ae0b3084 | refs/heads/master | 2016-09-09T22:44:35.003945 | 2015-01-24T10:15:12 | 2015-01-24T10:15:12 | 29,772,729 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 18,570 | py | # -*- coding: utf-8 -*-
from django.contrib import messages
from django.core.urlresolvers import reverse
from django.shortcuts import render, redirect
from django.views.decorators.http import require_http_methods
from django.views.generic import TemplateView
from django.views.generic.edit import FormView, UpdateView
from accounts.services import (create_user_without_password,
grant_privilege)
from dal.registration import get_list_latest_internal_sid_subscribers
from ip_analysis.models import UserSubscriber, Subscriber
from service_layer.registration import get_unique_external_sid
from user_analysis.models import SubscriberPageAuth, PagesList, PageAuthAction
from utils.account import ShieldSquareUserMixin
from utils.email import send_templated_email
from .forms import (NewSubscriberForm,
UpdateSubscriberForm,
EditSubscriberForm,
NewUserForm,
DeActivateSubscriberForm,
ReActivateSubscriberForm,
SupportSubscriberReportForm,)
from .service import send_new_user_email
# Create your views here.
class NewUserView(ShieldSquareUserMixin, FormView):
form_class = NewUserForm
template_name = 'new_user.html'
def send_email(self, email):
msg = u"You have created a new user {}".format(email)
send_templated_email(label="customer_support",
to=self.request.user.email,
context={'user_name':self.request.user,'msg': msg})
def form_valid(self, form):
username = form.cleaned_data['username']
email = form.cleaned_data['email']
privilege = form.cleaned_data['privilege']
subscriber = form.cleaned_data['subscriber']
user = create_user_without_password(email, username)
if user:
grant_privilege(user, privilege)
UserSubscriber.objects.create(user=user, subscriber=subscriber)
self.send_email(email)
# comes from service.py
send_new_user_email(self.request, user)
messages.success(self.request,
u"{} successfully created.".format(email))
return render(self.request, self.template_name)
def form_invalid(self, form):
return render(self.request, self.template_name, {'form': form})
class NewSubscriberView(ShieldSquareUserMixin, FormView):
form_class = NewSubscriberForm
template_name = "new_subscriber.html"
def send_email(self, name):
msg = u"You have created a new subscriber {}".format(name)
return send_templated_email(label="customer_support",
to=self.request.user.email,
context={'user_name':self.request.user,'msg': msg})
def form_valid(self, form):
subscriber = form.save(commit=True)
self.send_email(subscriber.name)
user = create_user_without_password(subscriber.email)
if user:
send_new_user_email(self.request, user)
grant_privilege(user, "admin")
UserSubscriber.objects.create(user=user, subscriber=subscriber)
messages.success(
self.request,
u"Successfully created subscriber {}".format(subscriber.name)
)
else:
messages.error(
self.requet,
u"Unable to create user {}".format(subscriber.email)
)
return render(self.request, self.template_name)
return redirect(reverse('support.dashboard'))
class UpdateSubscriberView(ShieldSquareUserMixin, UpdateView):
model = Subscriber
form_class = UpdateSubscriberForm
template_name = "update_subscriber.html"
def send_email(self, name):
msg = u"You have updated subscriber {} details".format(name)
return send_templated_email(label="customer_support",
to=self.request.user.email,
context={'user_name':self.request.user,'msg': msg})
def form_valid(self, form):
subscriber = form.save(commit=True)
self.send_email(subscriber.name)
messages.success(self.request,
u"Successfully edited subscriber {}".format(
subscriber.name))
return redirect(reverse('support.dashboard'))
class EditSubscriberView(ShieldSquareUserMixin, FormView):
# view to select to subscriber actual update happens in UpdateSubscriberView
form_class = EditSubscriberForm
template_name = "edit_subscriber.html"
def form_valid(self, form):
subscriber = form.cleaned_data['subscriber']
return redirect(reverse('support.update_subscriber',
kwargs={'pk': subscriber.internal_sid}))
class DeActivateSubscriberView(ShieldSquareUserMixin, FormView):
form_class = DeActivateSubscriberForm
template_name = "deactivate_subscriber.html"
def send_email(self, name):
msg = u"You have disabled the subscriber {}".format(name)
return send_templated_email(label="customer_support",
to=self.request.user.email,
context={'user_name':self.request.user,'msg': msg})
def deactivate_all_associated_users(self, subscriber):
for user_subscriber in UserSubscriber.objects.filter(subscriber=subscriber):
user_subscriber.user.is_active = False
user_subscriber.user.save()
def form_valid(self, form):
subscriber = form.cleaned_data['subscriber']
subscriber.status = 0
subscriber.save()
self.deactivate_all_associated_users(subscriber)
messages.success(self.request,
u"{} is disabled".format(subscriber.name))
self.send_email(subscriber.name)
return redirect(reverse('support.dashboard'))
class ReActivateSubscriberView(ShieldSquareUserMixin, FormView):
form_class = ReActivateSubscriberForm
template_name = "reactivate_subscriber.html"
def send_email(self, name):
msg = u"You have enabled the subscriber {}".format(name)
return send_templated_email(label="customer_support",
to=self.request.user.email,
context={'user_name':self.request.user,'msg': msg})
def deactivate_all_associated_users(self, subscriber):
for user_subscriber in UserSubscriber.objects.filter(subscriber=subscriber):
user_subscriber.user.is_active = True
user_subscriber.user.save()
def form_valid(self, form):
subscriber = form.cleaned_data['subscriber']
subscriber.status = 1
subscriber.save()
self.deactivate_all_associated_users(subscriber)
messages.success(self.request,
u"{} is enabled".format(subscriber.name))
self.send_email(subscriber.name)
return redirect(reverse('support.dashboard'))
class SupportSubscriberReportView(ShieldSquareUserMixin, FormView):
form_class = SupportSubscriberReportForm
template_name = "support_report.html"
def form_valid(self, form):
subscriber = form.cleaned_data['subscriber']
self.request.session['sid'] = subscriber.internal_sid
self.request.session['subscriber_name'] = subscriber.name
report_url = form.cleaned_data['reports']
return redirect(report_url)
class DashboardView(ShieldSquareUserMixin, TemplateView):
template_name = "support_dashboard.html"
@require_http_methods(["GET", "POST"])
def add_new_subscriber(request):
form = NewSubscriberForm()
if request.method == 'GET':
return render(request, 'new_subscriber.html', {'form' : form})
form = NewSubscriberForm(request.POST)
if form.is_valid():
latest_internal_sid = get_list_latest_internal_sid_subscribers()
external_sid = get_unique_external_sid()
new_external_sid = str(external_sid[0])
new_sb_external_sid = str(external_sid[1])
sid = Subscriber.objects.create(internal_sid = latest_internal_sid + 2,
external_sid = new_external_sid,
mini_uuid = new_external_sid.split('-')[3],
name = form.cleaned_data['name'],
site_url = form.cleaned_data['site_url'],
address1 = form.cleaned_data['address1'],
address2 = form.cleaned_data['address2'],
phone1 = form.cleaned_data['phone1'],
phone2 = form.cleaned_data['phone2'],
email = form.cleaned_data['email'],
status = form.cleaned_data['status'],
timezone = form.cleaned_data['timezone'],
r_Pagepermin = form.cleaned_data['r_Pagepermin'],
r_browserIntgrity = form.cleaned_data['r_browserIntgrity'],
r_httpRequestIntegrity = form.cleaned_data['r_httpRequestIntegrity'],
r_Aggregator = form.cleaned_data['r_Aggregator'],
r_behaviourIntegrity = form.cleaned_data['r_behaviourIntegrity'],
mode = form.cleaned_data['mode'],
sb_internal_sid = latest_internal_sid + 3,
sb_external_sid = new_sb_external_sid,
sb_mini_uuid = new_sb_external_sid.split('-')[3]
)
SubscriberPageAuth.objects.create(sid = sid,
page_id = PagesList.objects.get(id = 1),
auth_id = PageAuthAction.objects.get(id = 1 if form.cleaned_data['user_access_page'] else 2))
SubscriberPageAuth.objects.create(sid = sid,
page_id = PagesList.objects.get(id = 2),
auth_id = PageAuthAction.objects.get(id = 1 if form.cleaned_data['user_analysis_page'] else 2))
SubscriberPageAuth.objects.create(sid = sid,
page_id = PagesList.objects.get(id = 3),
auth_id = PageAuthAction.objects.get(id = 1 if form.cleaned_data['ip_analysis_page'] else 2))
SubscriberPageAuth.objects.create(sid = sid,
page_id = PagesList.objects.get(id = 4),
auth_id = PageAuthAction.objects.get(id = 1 if form.cleaned_data['ip_access_page'] else 2))
# Email
msg = u"You have created a new subscriber {}".format(sid.name)
send_templated_email(label="customer_support",
to=request.user.email,
context={'user_name':request.user,'msg': msg})
user = create_user_without_password(sid.email)
if user:
send_new_user_email(request, user)
grant_privilege(user, "admin")
UserSubscriber.objects.create(user=user, subscriber=sid)
messages.success(
request,
u"Successfully created subscriber {}".format(sid.name)
)
else:
messages.error(
request,
u"Unable to create user {}".format(sid.email)
)
return render(request, 'new_subscriber.html')
return redirect(reverse('support.dashboard'))
return render(request, 'new_subscriber.html', {'form' : form})
@require_http_methods(["GET", "POST"])
def update_existing_subscriber(request, pk):
form = UpdateSubscriberForm()
sid = Subscriber.objects.get(pk = pk)
if request.method == 'GET':
user_access_page = SubscriberPageAuth.objects.get(sid=sid, page_id = PagesList.objects.get(id = 1))
user_analysis_page = SubscriberPageAuth.objects.get(sid=sid, page_id = PagesList.objects.get(id = 2))
ip_access_page = SubscriberPageAuth.objects.get(sid=sid, page_id = PagesList.objects.get(id = 3))
ip_analysis_page = SubscriberPageAuth.objects.get(sid=sid, page_id = PagesList.objects.get(id = 4))
form = UpdateSubscriberForm( initial = {
'name' : sid.name,
'address1' : sid.address1,
'address2' : sid.address2,
'phone1' : sid.phone1,
'phone2' : sid.phone2,
'status' : sid.status,
'timezone' : sid.timezone,
'pagepermin' : sid.pagepermin,
'pagepersess' : sid.pagepersess,
'sesslength' : sid.sesslength,
'r_Pagepermin' : sid.r_Pagepermin,
'r_pagepersess' : sid.r_pagepersess,
'r_sesslength' : sid.r_sesslength,
'r_browserIntgrity' : sid.r_browserIntgrity,
'r_httpRequestIntegrity' : sid.r_httpRequestIntegrity,
'r_Aggregator' : sid.r_Aggregator,
'r_behaviourIntegrity' : sid.r_behaviourIntegrity,
'mode' : sid.mode,
'user_access_page' : True if user_access_page.auth_id.id==1 else False,
'user_analysis_page' : True if user_analysis_page.auth_id.id==1 else False,
'ip_access_page' : True if ip_access_page.auth_id.id==1 else False,
'ip_analysis_page' : True if ip_analysis_page.auth_id.id==1 else False,
})
return render(request, 'update_subscriber.html', {'form' : form,
'internal_sid' : sid.internal_sid,
'external_sid' : sid.external_sid,})
form = UpdateSubscriberForm(request.POST)
if form.is_valid():
sid = Subscriber.objects.get(pk = pk)
sid.name = form.cleaned_data['name']
sid.address1 = form.cleaned_data['address1']
sid.address2 = form.cleaned_data['address2']
sid.phone1 = form.cleaned_data['phone1']
sid.phone2 = form.cleaned_data['phone2']
sid.status = form.cleaned_data['status']
sid.timezone = form.cleaned_data['timezone']
sid.r_Pagepermin = form.cleaned_data['r_Pagepermin']
sid.r_browserIntgrity = form.cleaned_data['r_browserIntgrity']
sid.r_httpRequestIntegrity = form.cleaned_data['r_httpRequestIntegrity']
sid.r_Aggregator = form.cleaned_data['r_Aggregator']
sid.r_behaviourIntegrity = form.cleaned_data['r_behaviourIntegrity']
sid.mode = form.cleaned_data['mode']
sid.save()
user_access_page = SubscriberPageAuth.objects.get(sid = sid,
page_id = PagesList.objects.get(id = 1))
user_analysis_page = SubscriberPageAuth.objects.get(sid = sid,
page_id = PagesList.objects.get(id = 2))
ip_access_page = SubscriberPageAuth.objects.get(sid = sid,
page_id = PagesList.objects.get(id = 3))
ip_analysis_page = SubscriberPageAuth.objects.get(sid = sid,
page_id = PagesList.objects.get(id = 4))
user_access_page.auth_id = PageAuthAction.objects.get(auth_action = 1 if form.cleaned_data['user_access_page'] else 0)
user_analysis_page.auth_id = PageAuthAction.objects.get(auth_action = 1 if form.cleaned_data['user_analysis_page'] else 0)
ip_access_page.auth_id = PageAuthAction.objects.get(auth_action = 1 if form.cleaned_data['ip_access_page'] else 0)
ip_analysis_page.auth_id = PageAuthAction.objects.get(auth_action = 1 if form.cleaned_data['ip_analysis_page'] else 0)
user_access_page.save()
user_analysis_page.save()
ip_access_page.save()
ip_analysis_page.save()
# Email
msg = u"You have updated subscriber {} details".format(sid.name)
send_templated_email(label="customer_support",
to=request.user.email,
context={'user_name':request.user,'msg': msg})
messages.success(request, u"Successfully edited subscriber {}".format(sid.name))
return redirect(reverse('support.dashboard'))
return render(request, 'update_subscriber.html', {'form' : form,
'internal_sid' : sid.internal_sid,
'external_sid' : sid.external_sid,}) | [
"[email protected]"
] | |
fa828b53566c090450afc3f58298ab733534ac3e | 11cf40946c55b47886cfe8777916a17db82c2309 | /conways1.py | a2da35410469f1db5aecd4755355f109e8add686 | [] | no_license | dalalsunil1986/python_the_hard_way_exercises | fc669bf2f823a4886f0de717d5f1ca0d0233f6af | bc329999490dedad842e23e8447623fd0321ffe0 | refs/heads/master | 2023-05-03T01:35:24.097087 | 2021-05-16T00:43:56 | 2021-05-16T00:43:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,840 | py | # Conway's Game of Life
import random, time, copy
WIDTH = 60
HEIGHT = 20
# Create a list of list for the cells:
nextCells = []
for x in range(WIDTH):
column = [] # Create a new column.
for y in range(HEIGHT):
if random.randint(0, 1) == 0:
column.append('O') # Add a living cell.
else:
column.append(' ') # Add a dead cell.
nextCells.append(column) # nextCells is a list of column lists.
while True: # Main program loop.
print('\n\n\n\n\n') # Separate each step with newlines.
currentCells = copy.deepcopy(nextCells)
# Print currentCells on the screen:
for y in range(HEIGHT):
for x in range(WIDTH):
print(currentCells[x][y], end='') # Print the 'O' or space.
print() # Print a newline at the end of the row.
# Calculate next step's cells based on current step's cells:
for x in range(WIDTH):
for y in range(HEIGHT):
# Get neighboring coordinates:
# '% WIDTH' ensures leftCoord is always between 0 and WIDTH -1
leftCoord = (x - 1) % WIDTH
rightCoord = (x + 1) % WIDTH
aboveCoord = (y - 1) % HEIGHT
belowCoord = (y + 1) % HEIGHT
# Count number of living neighbors:
numNeighbors = 0
if currentCells[leftCoord][aboveCoord] == '#':
numNeighbors += 1 # Top-left neighbor is alive.
if currentCells[x][aboveCoord] == '#':
numNeighbors += 1 # Top neighbor is alive.
if currentCells[rightCoord][aboveCoord] == '#':
numNeighbors += 1 # Top-right neighbor is alive.
if currentCells[leftCoord][y] == '#':
numNeighbors += 1 # Left neighbor is alive.
if currentCells[rightCoord][y] == '#':
numNeighbors += 1 # Right neighbor is alive.
if currentCells[leftCoord][belowCoord] == '#':
numNeighbors += 1 # Botton-left neighbor is alive.
if currentCells[x][belowCoord] == '#':
numNeighbors += 1 # Botton neighbor is alive.
if currentCells[rightCoord][belowCoord] == '#':
numNeighbors += 1 # Bottom-right neighbor is alive.
# Set cell based on Conway's Game of Life rules:
if currentCells[x][y] == '#' and (numNeighbors == 2 or numNeighbors == 3):
# Living cells with 2 or 3 neighbors stay alive:
nextCells[x][y] = '#'
elif currentCells[x][y] == ' ' and numNeighbors == 3:
# Dead cells with 3 neighbors become alive:
nextCells[x][y] = '#'
else:
# Everthing else dies or stays dead:
nextCells[x][y] = ' '
time.sleep(2) # Add 2-second pause to reduce flickering.
| [
"[email protected]"
] | |
c86c98ae72815124b24d3ae32ec5d6a1d90a7dca | 324d9bc6747873173cf457d563665f59005c0efc | /apps/users/views.py | ff8c38e6a8d915aa28bdd5f5db1eb3e22a995a8c | [] | no_license | jzxyouok/movie-1 | fd220618ce8c03bc3dc33d5b39a81547097653b2 | 650c05389aaefb84544d2246bf8436bed7157547 | refs/heads/master | 2020-06-03T16:00:01.479269 | 2018-05-30T09:22:43 | 2018-05-30T09:22:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,829 | py | from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.hashers import make_password
from django.views.generic.base import View
from django.contrib.auth.backends import ModelBackend
from .models import UserProfile, EmailVerifyRecord
import json
from django.db.models import Q # 并集
from .forms import LoginForm, RegisterForm, ResetPwdForm, UserInfoForm, UploadImageForm, ForgetPwdForm
from apps.utils.email_send import send_register_email
# Create your views here.
class CustomBackend(ModelBackend):
"""
重写ModelBackend下的authenticate方法实现邮箱和用户名均可以登录
"""
def authenticate(self, request, username=None, password=None, **kwargs):
try:
user = UserProfile.objects.get(Q(username=username) | Q(email=username))
if user.check_password(password):
return user
except Exception as e:
return None
class LoginView(View):
# 直接调用get方法免去判断
def get(self, request):
redirect_url = request.GET.get('next', '')
return render(request, "users/login.html", {
"redirect_url": redirect_url
})
def post(self, request):
login_form = LoginForm(request.POST)
# is_valid判断我们字段是否有错执行我们原有逻辑，验证失败跳回login页面
if login_form.is_valid():
# 取不到时为空，username，password为前端页面name值
user_name = request.POST.get("username", "")
pass_word = request.POST.get("password", "")
# 成功返回user对象,失败返回null
user = authenticate(username=user_name, password=pass_word)
# 如果不是null说明验证成功
if user is not None:
# 只有当用户激活时才给登录
if user.is_active:
login(request, user)
redirect_url = request.POST.get('next', '')
if redirect_url:
return HttpResponseRedirect(redirect_url)
return HttpResponseRedirect(reverse("index"))
else:
return render(
request, "users/login.html", {
"msg": "用户名未激活! 请前往邮箱进行激活"})
# 当用户真的密码出错时
else:
return render(request, "users/login.html", {"msg": "用户名或密码错误!"})
# 验证不成功跳回登录页面
# 没有成功说明里面的值是None，并再次跳转回主页面
else:
return render(
request, "users/login.html", {
"login_form": login_form})
class ActiveUserView(View):
"""
激活注册用户
"""
def get(self, request, active_code):
# 查询邮箱验证记录是否存在
all_record = EmailVerifyRecord.objects.filter(code=active_code)
if all_record:
for record in all_record:
# 获取对应邮箱
email = record.email
user = UserProfile.objects.get(email=email)
user.is_active = True
user.save()
else:
return render(request, 'users/active_fail.html')
return render(request, 'users/login.html')
class RegisterView(View):
"""
注册视图
"""
def get(self, request):
register_form = RegisterForm()
return render(request, "users/register.html", {'register_form': register_form})
def post(self, request):
# 实例化生成注册表单
register_form = RegisterForm(request.POST)
if register_form.is_valid():
user_name = request.POST.get('email', None)
# 如果用户已经存在
if UserProfile.objects.filter(email=user_name):
return render(request, 'users/register.html',
{'register_form': register_form, 'msg': '用户已经存在'})
pass_word = request.POST.get('password', None)
# 实例化UserProfile
user_profile = UserProfile()
user_profile.username = user_name
user_profile.email = user_name
# 默认注册后用户是未激活的
user_profile.is_active = False
# hash算法加密密码
user_profile.password = make_password(pass_word)
user_profile.save()
send_register_email(user_name, 'register')
messages.success(request, "已经发送了激活邮件，请查收")
return render(request, 'users/register.html')
else:
return render(request, 'users/register.html', {'register_form': register_form})
class ResetPwdView(View):
"""
重设密码视图
"""
def post(self, request):
reset_form = ResetPwdForm(request.POST)
if reset_form.is_valid():
username = request.user.username
password1 = request.POST.get('password1', '')
password2 = request.POST.get('password2', '')
if password1 != password2:
return render(request, 'users/reset.html', {'msg': '两次输入的密码不一致'})
user = UserProfile.objects.get(username=username)
user.password = make_password(password2)
user.save()
return render(request, 'users/login.html', {'msg': '密码修改成功,请使用新密码登录'})
else:
# 密码位数不够
return render(request, 'users/reset.html', {'reset_form': reset_form})
class UserInfoView(LoginRequiredMixin, View):
"""
用户中心视图
"""
login_url = '/login/'
redirect_field_name = 'next'
def get(self, request):
return render(request, 'users/user.html')
def post(self, request):
# 修改，增加instance属性
user_info_form = UserInfoForm(request.POST, instance=request.user)
if user_info_form.is_valid():
user = UserProfile.objects.get(pk=request.user.id)
user.nick_name = user_info_form.cleaned_data['nick_name']
user.gender = user_info_form.cleaned_data['gender']
user.sign = user_info_form.cleaned_data['sign']
user.address = user_info_form.cleaned_data['address']
user.mobile = user_info_form.cleaned_data['mobile']
user.save()
return HttpResponseRedirect(reverse('user_info'))
else:
# 通过json的dumps方法把字典转换成字符串
return HttpResponse(
json.dumps(user_info_form.errors),
content_type='application/json'
)
class UploadImageView(LoginRequiredMixin, View):
"""
用户头像修改
"""
def post(self, request):
image_form = UploadImageForm(request.POST, request.FILES)
if image_form.is_valid():
image = image_form.cleaned_data['image']
request.user.image = image
request.user.save()
# return HttpResponse('{"status": "success"}', content_type='application/json')
return HttpResponseRedirect(reverse('user_info'))
else:
return HttpResponse('{"status": "fail"}', content_type='application/json')
class ForgetPwdView(View):
"""
找回密码视图
"""
def get(self, request):
forget_form = ForgetPwdForm()
return render(request, 'users/forgetpwd.html', {'forget_form': forget_form})
def post(self, request):
forget_form = ForgetPwdForm(request.POST)
if forget_form.is_valid():
email = request.POST.get('email', None)
send_register_email(email, 'forget')
return render(request, 'index.html')
else:
return render(request, 'users/forgetpwd.html', {'forget_form': forget_form})
class ResetView(View):
def get(self, request, active_code):
all_records = EmailVerifyRecord.objects.filter(code=active_code)
if all_records:
for record in all_records:
email = record.email
return render(request, "users/reset.html", {"email": email})
else:
return render(request, "users/active_fail.html")
return render(request, "users/login.html")
class LogOutView(View):
"""
退出登录
"""
def get(self, request):
logout(request)
return HttpResponseRedirect(reverse('index'))
| [
"[email protected]"
] | |
4b3999bceb135ae43088f2acd45fd813a32aa724 | 330899fd4a9653e05e2a09e0a4f30c119af97ad4 | /python/hidet/tos/modules/nn.py | 3d1c65c10d426d6b2298130ea875a54bbf014694 | [
"Apache-2.0"
] | permissive | yaoyaoding/hidet-artifacts | f8a4707c7fc28aa7bfa4dab3a9f2a9387c020f99 | f2e9767bb2464bd0592a8ec0b276f97481f13df2 | refs/heads/main | 2023-04-30T13:12:57.350002 | 2023-04-24T19:37:34 | 2023-04-24T19:37:34 | 551,692,225 | 3 | 1 | Apache-2.0 | 2022-11-01T23:25:17 | 2022-10-14T22:40:28 | Python | UTF-8 | Python | false | false | 5,063 | py | from typing import Optional, Union, List
import math
from hidet.tos import ops
from hidet.tos.common import normalize
from hidet.tos.module import Module, Tensor
from hidet.tos.tensor import randn, zeros, ones
from hidet.tos.modules.container import Sequential, ModuleList
class Conv2d(Module):
def __init__(self, in_channels, out_channels, kernel_size, padding=0, stride=1, groups=1):
super().__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.kernel = normalize(kernel_size)
self.padding = normalize(padding)
self.stride = normalize(stride)
self.groups = groups
self.weight = randn(shape=[out_channels, in_channels, *self.kernel], dtype='float32', stddev=1.0 / math.sqrt(out_channels))
def extra_str(self) -> str:
return 'in_channels={}, out_channels={}, kernel_size={}, stride={}, padding={}'.format(self.in_channels, self.out_channels, self.kernel, self.stride, self.padding)
def forward(self, x):
x = ops.pad(x, ops.utils.normalize_padding(self.padding))
return ops.conv2d(x, self.weight, self.stride, self.groups)
class BatchNorm2d(Module):
def __init__(self, num_features, eps=1e-5):
super().__init__()
self.eps = eps
self.running_mean = zeros(shape=[num_features])
self.running_var = ones(shape=[num_features])
def extra_str(self) -> str:
return 'eps={}'.format(self.eps)
def forward(self, x: Tensor):
return ops.batch_norm_infer(x, self.running_mean, self.running_var, self.eps)
class Linear(Module):
def __init__(self, in_features, out_features, bias: bool = True):
super().__init__()
self.in_features = in_features
self.out_features = out_features
self.weight = randn(shape=[in_features, out_features], stddev=1.0 / math.sqrt(in_features))
if bias:
self.bias = zeros(shape=[out_features])
else:
self.bias = None
def extra_str(self) -> str:
return 'in_features={}, out_features={}'.format(self.in_features, self.out_features)
def forward(self, x: Tensor) -> Tensor:
return ops.matmul(x, self.weight) + self.bias
class Relu(Module):
def forward(self, x):
return ops.relu(x)
class MaxPool2d(Module):
def __init__(self, kernel_size, stride=1, padding=0):
super().__init__()
self.kernel = kernel_size
self.stride = stride
self.padding = padding
def extra_str(self) -> str:
return 'kernel_size={}, stride={}, padding={}'.format(self.kernel, self.stride, self.padding)
def forward(self, x):
return ops.max_pool2d(x, self.kernel, self.stride, self.padding)
class AvgPool2d(Module):
def __init__(self, kernel_size, stride, padding):
super().__init__()
self.kernel = kernel_size
self.stride = stride
self.padding = padding
def extra_str(self) -> str:
return 'kernel_size={}, stride={}, padding={}'.format(self.kernel, self.stride, self.padding)
def forward(self, x):
return ops.avg_pool2d(x, self.kernel, self.stride, self.padding)
class AdaptiveAvgPool2d(Module):
def __init__(self, output_size):
super().__init__()
self.output_size = normalize(output_size)
assert tuple(self.output_size) == (1, 1), 'current only support this'
def extra_str(self) -> str:
return 'output_size={}'.format(self.output_size)
def forward(self, x: Tensor) -> Tensor:
n, c, h, w = x.shape
return ops.avg_pool2d(x, kernel=(h, w), stride=(1, 1), padding=(0, 0))
class Embedding(Module):
def __init__(self, num_embeddings: int, embedding_dim: int):
super().__init__()
self.num_embeddings = num_embeddings
self.embedding_dim = embedding_dim
self.weight = randn(shape=[num_embeddings, embedding_dim], dtype='float32', mean=0.0, stddev=1.0)
def forward(self, indices: Tensor) -> Tensor:
return ops.take(self.weight, indices, axis=0)
class LayerNorm(Module):
def __init__(self, normalized_shape: Union[int, List[int]], eps: float = 1e-5, elementwise_affine: bool = True):
super().__init__()
if isinstance(normalized_shape, int):
normalized_shape = (normalized_shape,)
self.normalized_shape = tuple(normalized_shape)
self.eps = eps
self.elementwise_affine = elementwise_affine
if elementwise_affine:
self.weight = ones(normalized_shape)
self.bias = zeros(normalized_shape)
else:
self.weight = None
self.bias = None
def forward(self, x: Tensor) -> Tensor:
x = ops.layer_norm(x)
if self.weight:
x = x * self.weight
if self.bias:
x = x + self.bias
return x
class Gelu(Module):
def forward(self, x):
return x * (ops.erf(x * (1.0 / 1.4142135381698608)) + 1.0) * 0.5
class Tanh(Module):
def forward(self, x):
return ops.tanh(x)
| [
"[email protected]"
] | |
a3b7d2043d073baae61c82a62a7baf513e5463d4 | 117aaf186609e48230bff9f4f4e96546d3484963 | /others/FilterTable/main.py | c18d99d897d4e53baba8675c35fbb4fd3a1f0667 | [
"MIT"
] | permissive | eyllanesc/stackoverflow | 8d1c4b075e578496ea8deecbb78ef0e08bcc092e | db738fbe10e8573b324d1f86e9add314f02c884d | refs/heads/master | 2022-08-19T22:23:34.697232 | 2022-08-10T20:59:17 | 2022-08-10T20:59:17 | 76,124,222 | 355 | 433 | MIT | 2022-08-10T20:59:18 | 2016-12-10T16:29:34 | C++ | UTF-8 | Python | false | false | 1,326 | py | import csv
import sys
from PyQt4 import QtGui
from PyQt4 import uic
from PyQt4.QtCore import QString
from PyQt4.QtGui import QTableWidgetItem
filter_class = uic.loadUiType("filter.ui")[0]
class Filter_window(QtGui.QWidget, filter_class):
def __init__(self, parent=None, *args, **kwargs):
QtGui.QMainWindow.__init__(self, parent)
self.setupUi(self)
self.loadAll()
def loadAll(self):
with open("Rts.csv", "rb") as inpfil:
reader = csv.reader(inpfil, delimiter=',')
csheader = reader.next()
ncol = len(csheader)
data = list(reader)
row_count = len(data)
self.filterall.setRowCount(row_count)
self.filterall.setColumnCount(ncol)
self.filterall.setHorizontalHeaderLabels(QString('%s' % ', '.join(map(str, csheader))).split(","))
for ii in range(0, row_count):
print data[ii]
mainins = data[ii]
print mainins
for var in range(0, ncol):
print mainins[var], "\n"
self.filterall.setItem(ii, var, QTableWidgetItem(mainins[var]))
if __name__ == '__main__':
app = QtGui.QApplication(sys.argv)
filterwin = Filter_window()
filterwin.show()
sys.exit(app.exec_())
| [
"[email protected]"
] | |
240e6d72e883cd5d44adc7bc87f9e6646c36762c | aa0270b351402e421631ebc8b51e528448302fab | /sdk/paloaltonetworks/azure-mgmt-paloaltonetworksngfw/generated_samples/post_rules_delete_minimum_set_gen.py | 37e8eb6f0bb63131b561033cfb6c8b88a6e137ab | [
"MIT",
"LGPL-2.1-or-later",
"LicenseRef-scancode-generic-cla"
] | permissive | fangchen0601/azure-sdk-for-python | d04a22109d0ff8ff209c82e4154b7169b6cb2e53 | c2e11d6682e368b2f062e714490d2de42e1fed36 | refs/heads/master | 2023-05-11T16:53:26.317418 | 2023-05-04T20:02:16 | 2023-05-04T20:02:16 | 300,440,803 | 0 | 0 | MIT | 2020-10-16T18:45:29 | 2020-10-01T22:27:56 | null | UTF-8 | Python | false | false | 1,613 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from azure.identity import DefaultAzureCredential
from azure.mgmt.paloaltonetworks import PaloAltoNetworksNgfwMgmtClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-paloaltonetworks
# USAGE
python post_rules_delete_minimum_set_gen.py
Before run the sample, please set the values of the client ID, tenant ID and client secret
of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""
def main():
client = PaloAltoNetworksNgfwMgmtClient(
credential=DefaultAzureCredential(),
subscription_id="SUBSCRIPTION_ID",
)
response = client.post_rules.begin_delete(
global_rulestack_name="lrs1",
priority="1",
).result()
print(response)
# x-ms-original-file: specification/paloaltonetworks/resource-manager/PaloAltoNetworks.Cloudngfw/preview/2022-08-29-preview/examples/PostRules_Delete_MinimumSet_Gen.json
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
9a05bb883ba068c5b2d77669562c68b4b2037e4b | 9d2d6b29662ee32dfaef72504cc85981f29b5fca | /volat.py | 6fe5fee87019a4ae22e903cdb5163b91378e111a | [] | no_license | jingmouren/Volatility-Prediction | 63e9ed1705e23330a34e3bb4bf5091b1f680cff2 | 36d1dd79ffa8f2af6baed12f81b6003c58aea4c4 | refs/heads/main | 2023-08-26T06:51:43.204776 | 2021-10-31T17:01:51 | 2021-10-31T17:01:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,592 | py | # The function below takes the file name corresponding to a stock and returns the stock_id
def stock_id(name):
import re
i = re.search(r'\d+', name).group(0)
i = int(i)
return i
# The function below takes the path of a folder containing stock files and returns a list of the contained file paths
# sorted by stock_id
def files(folder):
import glob
file_names = glob.glob(folder+'/*')
file_names.sort(key=stock_id)
return file_names
# The function below takes a list of stock files, a number n and and a boolean value. And returns the concatenation of
# of n the respective dataframes with and additional 'stock_id' columns. If the boolean value is TRUE it uses the first
# n files, if the boolean value is FALSE it chooses randomly n files.
def sub_frame(file_names, number, sequential):
import random
import pandas as pd
if sequential:
file_names = file_names[0:number]
else:
file_names = random.sample(file_names, number)
data_frames = []
for filename in file_names:
i = stock_id(filename)
parquet_file = str(filename)
frame = pd.read_parquet(parquet_file, engine='auto')
size = frame.shape[0]
column = [i] * size
frame['ID'] = column
data_frames.append(frame)
data = pd.concat(data_frames)
return data
# The function below takes a stock dataframe and returns the first and last row of a random group. By group we mean a
# a set of rows corresponding to the same time_id. The probability of each group is analogous to its size.
def random_batch(frame):
import random
n = frame.shape[0]
stock_list = list(range(n))
k = random.choice(stock_list)
i = k
right_end = k
while frame.loc[i].at["time_id"] == frame.loc[k].at["time_id"]:
right_end = i
i = i + 1
i = k
left_end = k
while frame.loc[i].at["time_id"] == frame.loc[k].at["time_id"]:
left_end = i
i = i - 1
batch_locations = list(range(left_end, right_end + 1))
return batch_locations
# The function below prints a parquet file given it's path.
def parquet_print(filename):
import pandas as pd
parquet_file = str(filename)
frame = pd.read_parquet(parquet_file, engine='auto')
print(frame)
# Similarly for csv files
def csv_print(filename):
import pandas as pd
parquet_file = str(filename)
frame = pd.read_csv(parquet_file)
print(frame)
# The function below returns the dataframe contained in a parquet file given its path.
def parquet_frame(filename):
import pandas as pd
parquet_file = str(filename)
frame = pd.read_parquet(parquet_file)
return frame
#Similarly for csv files
def csv_frame(filename):
import pandas as pd
parquet_file = str(filename)
frame = pd.read_csv(parquet_file)
return frame
# The function below takes a stock data frame and a number k and returns the first and last row of the
# time_id-group containing the k_th row
def local_patch(frame, k):
n = frame.shape[0]
time_id = frame.loc[k].at["time_id"]
if time_id == 5:
i = k
right_end = k
while frame.loc[i].at["time_id"] == time_id:
right_end = i
i = i + 1
patch_locations = (time_id, 0, right_end)
elif time_id == 32767:
i = k
left_end = k
while frame.loc[i].at["time_id"] == time_id:
left_end = i
i = i - 1
patch_locations = (time_id, left_end, n-1)
else:
i = k
right_end = k
while frame.loc[i].at["time_id"] == time_id:
right_end = i
i = i + 1
i = k
left_end = k
while frame.loc[i].at["time_id"] == time_id:
left_end = i
i = i - 1
patch_locations = (time_id, left_end, right_end)
return patch_locations
# The function below takes in a stock dataframe and a number between r 0 and 1. It returns a random list
# of time_id-groups so that the total arrows of the groups do not exceed r*(size of the dataframe). The time_id groups
# are represented as (first row of group, last row fo group)
def file_sample(frame, percentage):
import random
n = frame.shape[0]
rows = 0
patches = []
k = random.choice(range(n))
patch = local_patch(frame, k)
rows = rows + patch[2] - patch[1] + 1
while rows <= percentage * n:
patches.append(patch)
k = random.choice(range(n))
patch = local_patch(frame, k)
rows = rows + patch[2] - patch[1] + 1
return patches
# The function below takes in a stock dataframe a list of time_id-groups of that dataframe (groups represented as in
# the function above) and a real number r. It splits the list of time_id groups according to the real number and then
# concatenates the data frames corresponding to it's part returning two dataframes.
def patches_to_frame(frame, patches, train_size):
import math
import pandas as pd
n = len(patches)
k = math.floor(n*train_size)
patches1 = patches[0:k]
patches2 = patches[k:n]
patches = [patches1, patches2]
frames = []
for j in range(2):
data_frames = []
for i in patches[j]:
data_frames.append(frame[i[1]:i[2]+1])
data = pd.concat(data_frames)
frames.append(data)
return [frames[0], frames[1]]
# The function below take a list of pats of stock files a real number p and a real number t. It randomly chooses time_id
# groups from each file corresponding approximately to r*100 percentage of total rows in the files, also it splits
# the list of groups according to t keeping a list of training groups and a list of test groups. Finally it concatenates
# all the groups from all the files returning two data frames corresponding to a training dataframe and a test
# dataframe.
def global_random_sample(file_names, percentage, train_size):
import pandas as pd
train_frames = []
test_frames = []
for filename in file_names:
i = stock_id(filename)
frame = parquet_frame(filename)
patches = file_sample(frame, percentage)
frames = patches_to_frame(frame, patches, train_size)
size = frames[0].shape[0]
column = [i] * size
frames[0]['stock_id'] = column
train_frames.append(frames[0])
size = frames[1].shape[0]
column = [i] * size
frames[1]['stock_id'] = column
test_frames.append(frames[1])
data1 = pd.concat(train_frames)
data2 = pd.concat(test_frames)
return [data1, data2]
# The following function returns a 3D as required for the keras LSTM model. We pad each time_id group with 0s
# so that the size of all groups is equal to 'groupsize'. The 'first' and 'last arguments corresponding to the first
# and last column of 'frame' that will be used as values for the LSTM model.
def lstm_input(frame, groupsize, first, last):
import numpy as np
import pandas as pd
n = frame.shape[0]
previous = 0
inpt = np.array([np.zeros((groupsize, last-first))])
for i in range(n - 1):
if not frame.loc[i].at["time_id"] == frame.loc[i + 1].at["time_id"]:
matrix = pd.DataFrame.to_numpy(frame.iloc[previous:i + 1, first:last])
pad = [[0] * (last-first)] * (groupsize - i - 1 + previous)
matrix = np.concatenate((pad, matrix), axis=0)
inpt = np.append(inpt, [matrix], axis=0)
previous = i + 1
matrix = pd.DataFrame.to_numpy(frame.iloc[previous:n, first:last])
pad = [[0] * (last-first)] * (groupsize - n + previous)
matrix = np.concatenate((pad, matrix), axis=0)
inpt = np.append(inpt, [matrix], axis=0)
inpt = np.delete(inpt, 0, axis=0)
return inpt
# The following function takes a dataframe that is a concatenation of stock dataframes and returns a subframe containing
# all rows corresponding to stock_id = sid. It is required that the initial frame has a stock_id column.
def stock_subframe(frame, sid):
import numpy as np
temp = np.array(frame['stock_id'])
temp2 = np.where(temp == sid)[0]
start = temp2[0]
end = start + len(temp2) - 1
subframe = frame.loc[start: end]
return subframe
# The following function takes a dataframe of concatenated stock dataframes and returns the list of target values
# of the corresponding (stock_id,time_id) elements.
def frame_to_values(frame, values_fr):
import numpy as np
m = values_fr.shape[0]
y = []
for i in range(m):
if i == 0:
sid = values_fr.loc[i].at["stock_id"]
subframe = stock_subframe(frame, sid)
sample_ids = subframe.loc[:, "time_id"]
sample_ids = set(sample_ids)
elif not values_fr.loc[i].at["stock_id"] == values_fr.loc[i-1].at["stock_id"]:
sid = values_fr.loc[i].at["stock_id"]
subframe = stock_subframe(frame, sid)
sample_ids = subframe.loc[:, "time_id"]
sample_ids = set(sample_ids)
if values_fr.loc[i].at["time_id"] in sample_ids:
y.append(values_fr.loc[i].at["target"])
y = np.array(y)
return y
# In the following function filename1 corresponds to the path of a file that is a random sample of some book-stock_id
# file and filename2 is the path of the corresponding trade-stock_id file. It returns the random sample of filename2
# that contains the time_id-groups as filename2
def counterpart_file(filename1, filename2):
import pandas as pd
frame2 = parquet_frame(filename2)
frame1 = csv_frame(filename1)
sid = stock_id(filename2)
subframe = stock_subframe(frame1, sid)
sample_ids = subframe.loc[:, "time_id"]
sample_ids = set(sample_ids)
frames = []
previous = 0
n = frame2.shape[0]
for i in range(n):
if i == n - 1:
if frame2.loc[i].at["time_id"] in sample_ids:
subframe = frame2.loc[previous + 1:n - 1]
frames.append(subframe)
previous = i
elif not frame2.loc[i + 1].at["time_id"] == frame2.loc[i].at["time_id"]:
if frame2.loc[i].at["time_id"] in sample_ids:
subframe = frame2.loc[previous + 1:i]
frames.append(subframe)
previous = i
result = pd.concat(frames)
return result
# The following function takes a range of rows of a dataframe and returns a row with statistical information
# of that range of rows
def stat_contraction(frame, start, end):
import numpy as np
import math
column_lists = []
for j in frame.columns[2:]:
column_lists.append(np.array(frame[j][start:end]))
values = [frame.loc[start].at["time_id"]]
for j in column_lists:
values.append(np.max(j))
values.append(np.min(j))
values.append(np.sum(j) / len(j))
values.append(math.sqrt(np.var(j)))
values = np.array(values)
values = values.reshape((1, len(values)))
return values
# The following function takes a stock dataframe and returns the dataframe formed after replacing each time_id-groups
# with a row containing statistical information about it.
def contracted_frame(frame):
import numpy as np
import pandas as pd
import math
new_columns = ['time_id', 'bid_price1_max', 'bid_price1_min', 'bid_price1_av', 'bid_price1_sd', 'ask_price1_max',
'ask_price1_min', 'ask_price1_av', 'ask_price1_sd', 'bid_price2_max', 'bid_price2_min',
'bid_price2_av', 'bid_price2_sd', 'ask_price2_max', 'ask_price2_min', 'ask_price2_av',
'ask_price2_sd', 'bid_size1_max', 'bid_size1_min', 'bid_size1_av', 'bid_size1_sd', 'ask_size1_max',
'ask_size1_min', 'ask_size1_av', 'ask_size1_sd', 'bid_size2_max', 'bid_size2_min', 'bid_size2_av',
'bid_size2_sd', 'ask_size2_max', 'ask_size2_min', 'ask_size2_av', 'ask_size2_sd']
contracted = pd.DataFrame(columns=new_columns)
previous = 0
n = frame.shape[0]
for i in range(n - 1):
if not frame.loc[i].at["time_id"] == frame.loc[i + 1].at["time_id"]:
values = stat_contraction(frame, previous+1, i)
temp = pd.DataFrame(values, columns=new_columns)
contracted = pd.concat([contracted, temp])
previous = i
if i+1 == n-1:
values = stat_contraction(frame, previous+1, i+1)
temp = pd.DataFrame(values, columns=new_columns)
contracted = pd.concat([contracted, temp])
previous = i
return contracted
| [
"[email protected]"
] | |
cbe5f43ddfbfbe7b436a28d4810339b2291dcf95 | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/coverage-big-1706.py | e71fa3edcf5b892e227597f755678d3066f64bc5 | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,349 | py | count:int = 0
count2:int = 0
count3:int = 0
count4:int = 0
count5:int = 0
def foo(s: str) -> int:
return len(s)
def foo2(s: str, s2: str) -> int:
return len(s)
def foo3(s: str, s2: str, s3: str) -> int:
return len(s)
def foo4(s: str, s2: str, s3: str, s4: str) -> int:
return len(s)
def foo5(s: str, s2: str, s3: str, s4: str, s5: str) -> int:
return len(s)
class bar(object):
p: bool = True
def baz(self:"bar", xx: [int]) -> str:
global count
x:int = 0
y:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
class bar2(object):
p: bool = True
p2: bool = True
def baz(self:"bar2", xx: [int]) -> str:
global count
x:int = 0
y:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz2(self:"bar2", xx: [int], xx2: [int]) -> str:
global count
x:int = 0
x2:int = 0
y:int = 1
y2:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
class bar3(object):
p: bool = True
p2: bool = True
p3: bool = True
def baz(self:"bar3", xx: [int]) -> str:
global count
x:int = 0
y:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz2(self:"bar3", xx: [int], xx2: [int]) -> str:
global count
x:int = 0
x2:int = 0
y:int = 1
y2:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz3(self:"bar3", xx: [int], xx2: [int], xx3: [int]) -> str:
global count
x:int = 0
x2:int = 0
x3:int = 0
y:int = 1
y2:int = 1
y3:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
def qux3(y: int, y2: int, y3: int) -> object:
nonlocal x
nonlocal x2
nonlocal $ID
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
class bar4(object):
p: bool = True
p2: bool = True
p3: bool = True
p4: bool = True
def baz(self:"bar4", xx: [int]) -> str:
global count
x:int = 0
y:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz2(self:"bar4", xx: [int], xx2: [int]) -> str:
global count
x:int = 0
x2:int = 0
y:int = 1
y2:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz3(self:"bar4", xx: [int], xx2: [int], xx3: [int]) -> str:
global count
x:int = 0
x2:int = 0
x3:int = 0
y:int = 1
y2:int = 1
y3:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
def qux3(y: int, y2: int, y3: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz4(self:"bar4", xx: [int], xx2: [int], xx3: [int], xx4: [int]) -> str:
global count
x:int = 0
x2:int = 0
x3:int = 0
x4:int = 0
y:int = 1
y2:int = 1
y3:int = 1
y4:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
def qux3(y: int, y2: int, y3: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
if x > y:
x = -1
def qux4(y: int, y2: int, y3: int, y4: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
nonlocal x4
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
class bar5(object):
p: bool = True
p2: bool = True
p3: bool = True
p4: bool = True
p5: bool = True
def baz(self:"bar5", xx: [int]) -> str:
global count
x:int = 0
y:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz2(self:"bar5", xx: [int], xx2: [int]) -> str:
global count
x:int = 0
x2:int = 0
y:int = 1
y2:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz3(self:"bar5", xx: [int], xx2: [int], xx3: [int]) -> str:
global count
x:int = 0
x2:int = 0
x3:int = 0
y:int = 1
y2:int = 1
y3:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
def qux3(y: int, y2: int, y3: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz4(self:"bar5", xx: [int], xx2: [int], xx3: [int], xx4: [int]) -> str:
global count
x:int = 0
x2:int = 0
x3:int = 0
x4:int = 0
y:int = 1
y2:int = 1
y3:int = 1
y4:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
def qux3(y: int, y2: int, y3: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
if x > y:
x = -1
def qux4(y: int, y2: int, y3: int, y4: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
nonlocal x4
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
def baz5(self:"bar5", xx: [int], xx2: [int], xx3: [int], xx4: [int], xx5: [int]) -> str:
global count
x:int = 0
x2:int = 0
x3:int = 0
x4:int = 0
x5:int = 0
y:int = 1
y2:int = 1
y3:int = 1
y4:int = 1
y5:int = 1
def qux(y: int) -> object:
nonlocal x
if x > y:
x = -1
def qux2(y: int, y2: int) -> object:
nonlocal x
nonlocal x2
if x > y:
x = -1
def qux3(y: int, y2: int, y3: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
if x > y:
x = -1
def qux4(y: int, y2: int, y3: int, y4: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
nonlocal x4
if x > y:
x = -1
def qux5(y: int, y2: int, y3: int, y4: int, y5: int) -> object:
nonlocal x
nonlocal x2
nonlocal x3
nonlocal x4
nonlocal x5
if x > y:
x = -1
for x in xx:
self.p = x == 2
qux(0) # Yay! ChocoPy
count = count + 1
while x <= 0:
if self.p:
xx[0] = xx[1]
self.p = not self.p
x = x + 1
elif foo("Long"[0]) == 1:
self.p = self is None
return "Nope"
print(bar().baz([1,2]))
| [
"[email protected]"
] | |
0eafa771e434cc47da07d9832275df08bc7e0215 | ccd27037d13c0288aae5d94e616c659ce2a713a0 | /donor/migrations/0001_initial.py | b2964b3233b6f9785178e02fc623f4e664a5e3c9 | [] | no_license | AniketShahane/ZeroDay-01 | 99ce4dad366b778851518a07a34ab9d100246ed5 | 2a12c6965fdbc9c1f1db3d2f207861a7ddcb62e8 | refs/heads/master | 2020-04-21T11:14:03.077996 | 2019-02-11T13:21:31 | 2019-02-11T13:21:31 | 169,516,547 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,907 | py | # Generated by Django 2.1.5 on 2019-02-06 08:07
import datetime
from django.db import migrations, models
import django.db.models.deletion
from django.utils.timezone import utc
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Donor',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100)),
('area', models.CharField(max_length=250)),
('amount', models.IntegerField()),
('time', models.DateTimeField(verbose_name=datetime.datetime(2019, 2, 6, 8, 7, 30, 318661, tzinfo=utc))),
],
),
migrations.CreateModel(
name='RevenueAdded',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('principal_amount', models.IntegerField()),
('time', models.DateTimeField(verbose_name=datetime.datetime(2019, 2, 6, 8, 7, 30, 324627, tzinfo=utc))),
('donor_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='donor.Donor')),
],
),
migrations.CreateModel(
name='RevenueSpent',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('principal_amount', models.IntegerField()),
('resource', models.CharField(choices=[('SCH', 'Scholarships'), ('ST', 'Stationery'), ('ACC', 'Accommodation'), ('HC', 'Health Care')], max_length=255)),
('time', models.DateTimeField(verbose_name=datetime.datetime(2019, 2, 6, 8, 7, 30, 325058, tzinfo=utc))),
],
),
]
| [
"[email protected]"
] | |
f8f7e6aff74349c59cce9401e12149fb28ed8f8b | 208bc8b87cb20fc6e57c8c8846cbe947b2eec1f3 | /pyocd/coresight/cortex_m_v8m.py | ca01e71819f240e6e35497dc4209539e8afd50ac | [
"Apache-2.0",
"CC-BY-4.0"
] | permissive | canerbulduk/pyOCD | 28c545f25ef9b2949a1cd49c00faeeda986a26fe | a61e8b8dc2050309510d9fe7ca63680aafe06749 | refs/heads/main | 2023-08-24T21:10:52.427697 | 2021-11-09T15:13:48 | 2021-11-09T15:13:48 | 426,275,463 | 0 | 0 | Apache-2.0 | 2021-11-09T15:08:22 | 2021-11-09T15:08:21 | null | UTF-8 | Python | false | false | 7,538 | py | # pyOCD debugger
# Copyright (c) 2019-2020 Arm Limited
# Copyright (c) 2021 Chris Reed
# SPDX-License-Identifier: Apache-2.0
#
# 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.
import logging
from .cortex_m import CortexM
from .core_ids import (CORE_TYPE_NAME, CoreArchitecture, CortexMExtension)
from ..core.target import Target
from .cortex_m_core_registers import CoreRegisterGroups
LOG = logging.getLogger(__name__)
class CortexM_v8M(CortexM):
"""! @brief Component class for a v8.x-M architecture Cortex-M core."""
ARMv8M_BASE = 0xC
ARMv8M_MAIN = 0xF
## DFSR.PMU added in v8.1-M.
DFSR_PMU = (1 << 5)
DSCSR = 0xE000EE08
DSCSR_CDSKEY = 0x00020000
DSCSR_CDS = 0x00010000
DSCSR_SBRSEL = 0x00000002
DSCSR_SBRSELEN = 0x00000001
# Processor Feature Register 1
PFR1 = 0xE000ED44
PFR1_SECURITY_MASK = 0x000000f0
PFR1_SECURITY_SHIFT = 4
PFR1_SECURITY_EXT_V8_0 = 0x1 # Base security extension.
PFR1_SECURITY_EXT_V8_1 = 0x3 # v8.1-M adds several instructions.
# Media and FP Feature Register 1
MVFR1 = 0xE000EF44
MVFR1_MVE_MASK = 0x00000f00
MVFR1_MVE_SHIFT = 8
MVFR1_MVE__INTEGER = 0x1
MVFR1_MVE__FLOAT = 0x2
def __init__(self, rootTarget, ap, memory_map=None, core_num=0, cmpid=None, address=None):
super(CortexM_v8M, self).__init__(rootTarget, ap, memory_map, core_num, cmpid, address)
# Only v7-M supports VECTRESET.
self._supports_vectreset = False
@property
def supported_security_states(self):
"""! @brief Tuple of security states supported by the processor.
@return Tuple of @ref pyocd.core.target.Target.SecurityState "Target.SecurityState". The
result depends on whether the Security extension is enabled.
"""
if self.has_security_extension:
return (Target.SecurityState.NONSECURE, Target.SecurityState.SECURE)
else:
return (Target.SecurityState.NONSECURE,)
def _read_core_type(self):
"""! @brief Read the CPUID register and determine core type and architecture."""
# Read CPUID register
cpuid = self.read32(CortexM.CPUID)
implementer = (cpuid & CortexM.CPUID_IMPLEMENTER_MASK) >> CortexM.CPUID_IMPLEMENTER_POS
if implementer != CortexM.CPUID_IMPLEMENTER_ARM:
LOG.warning("CPU implementer is not ARM!")
arch = (cpuid & CortexM.CPUID_ARCHITECTURE_MASK) >> CortexM.CPUID_ARCHITECTURE_POS
self.core_type = (cpuid & CortexM.CPUID_PARTNO_MASK) >> CortexM.CPUID_PARTNO_POS
self.cpu_revision = (cpuid & CortexM.CPUID_VARIANT_MASK) >> CortexM.CPUID_VARIANT_POS
self.cpu_patch = (cpuid & CortexM.CPUID_REVISION_MASK) >> CortexM.CPUID_REVISION_POS
pfr1 = self.read32(self.PFR1)
pfr1_sec = ((pfr1 & self.PFR1_SECURITY_MASK) >> self.PFR1_SECURITY_SHIFT)
self.has_security_extension = pfr1_sec in (self.PFR1_SECURITY_EXT_V8_0, self.PFR1_SECURITY_EXT_V8_1)
if self.has_security_extension:
self._extensions.append(CortexMExtension.SEC)
if pfr1_sec == self.PFR1_SECURITY_EXT_V8_1:
self._extensions.append(CortexMExtension.SEC_V81)
if arch == self.ARMv8M_BASE:
self._architecture = CoreArchitecture.ARMv8M_BASE
else:
self._architecture = CoreArchitecture.ARMv8M_MAIN
if self.core_type in CORE_TYPE_NAME:
if self.has_security_extension:
LOG.info("CPU core #%d is %s r%dp%d (security ext present)", self.core_number, CORE_TYPE_NAME[self.core_type], self.cpu_revision, self.cpu_patch)
else:
LOG.info("CPU core #%d is %s r%dp%d", self.core_number, CORE_TYPE_NAME[self.core_type], self.cpu_revision, self.cpu_patch)
else:
LOG.warning("CPU core #%d type is unrecognized", self.core_number)
def _check_for_fpu(self):
"""! @brief Determine if a core has an FPU.
In addition to the tests performed by CortexM, this method tests for the MVE extension.
"""
super(CortexM_v8M, self)._check_for_fpu()
# Check for MVE.
mvfr1 = self.read32(self.MVFR1)
mve = (mvfr1 & self.MVFR1_MVE_MASK) >> self.MVFR1_MVE_SHIFT
if mve == self.MVFR1_MVE__INTEGER:
self._extensions.append(CortexMExtension.MVE)
elif mve == self.MVFR1_MVE__FLOAT:
self._extensions += [CortexMExtension.MVE, CortexMExtension.MVE_FP]
def _build_registers(self):
super(CortexM_v8M, self)._build_registers()
# Registers available with Security extension, either Baseline or Mainline.
if self.has_security_extension:
self._core_registers.add_group(CoreRegisterGroups.V8M_SEC_ONLY)
# Mainline-only registers.
if self.architecture == CoreArchitecture.ARMv8M_MAIN:
self._core_registers.add_group(CoreRegisterGroups.V7M_v8M_ML_ONLY)
# Registers available when both Mainline and Security extensions are implemented.
if self.has_security_extension:
self._core_registers.add_group(CoreRegisterGroups.V8M_ML_SEC_ONLY)
# MVE registers.
if CortexMExtension.MVE in self.extensions:
self._core_registers.add_group(CoreRegisterGroups.V81M_MVE_ONLY)
def get_security_state(self):
"""! @brief Returns the current security state of the processor.
@return @ref pyocd.core.target.Target.SecurityState "Target.SecurityState" enumerator.
"""
dscsr = self.read32(self.DSCSR)
if (dscsr & self.DSCSR_CDS) != 0:
return Target.SecurityState.SECURE
else:
return Target.SecurityState.NONSECURE
def clear_debug_cause_bits(self):
self.write32(CortexM.DFSR,
self.DFSR_PMU
| CortexM.DFSR_EXTERNAL
| CortexM.DFSR_VCATCH
| CortexM.DFSR_DWTTRAP
| CortexM.DFSR_BKPT
| CortexM.DFSR_HALTED)
def get_halt_reason(self):
"""! @brief Returns the reason the core has halted.
This overridden version of this method adds support for v8.x-M halt reasons.
@return @ref pyocd.core.target.Target.HaltReason "Target.HaltReason" enumerator or None.
"""
dfsr = self.read32(self.DFSR)
if dfsr & self.DFSR_HALTED:
reason = Target.HaltReason.DEBUG
elif dfsr & self.DFSR_BKPT:
reason = Target.HaltReason.BREAKPOINT
elif dfsr & self.DFSR_DWTTRAP:
reason = Target.HaltReason.WATCHPOINT
elif dfsr & self.DFSR_VCATCH:
reason = Target.HaltReason.VECTOR_CATCH
elif dfsr & self.DFSR_EXTERNAL:
reason = Target.HaltReason.EXTERNAL
elif dfsr & self.DFSR_PMU:
reason = Target.HaltReason.PMU
else:
reason = None
return reason
| [
"[email protected]"
] | |
964be754ef86bec5917a57c625ad4ed6a31349f8 | dcafbc9a6eea2b0e9aabc527b93cd97d270a67af | /tests/test_cli.py | 1cc1282f4575e65d72cfcb43033f27022e631d72 | [
"MIT"
] | permissive | bfontaine/edt2ics | 83fbd51540d7887e049be90efb70f382110dafaf | 1245f174694c30a42c489d831970c32ae42c0b0d | refs/heads/master | 2021-05-15T01:55:46.595212 | 2015-01-05T11:31:48 | 2015-01-05T11:31:48 | 24,652,011 | 1 | 0 | MIT | 2021-03-23T09:20:53 | 2014-09-30T19:18:04 | Python | UTF-8 | Python | false | false | 1,722 | py | # -*- coding: UTF-8 -*-
import sys
from tempfile import NamedTemporaryFile
from os import remove
try:
import unittest2 as unittest
from cStringIO import StringIO
except ImportError:
from io import StringIO
import unittest
from edt2ics.cli import write_ical, main, ScheduleScraper
def ctrlC(self, *args, **kwargs):
raise KeyboardInterrupt
class TestCli(unittest.TestCase):
def setUp(self):
self.real_stdout = sys.stdout
self.stdout = sys.stdout = StringIO()
self.argv = sys.argv
self.sys_exit = sys.exit
self.exit_code = None
self.ss_init = ScheduleScraper.__init__
def _fake_exit(code=None):
self.exit_code = code
_fake_exit.__name__ = sys.exit.__name__
sys.exit = _fake_exit
def tearDown(self):
sys.stdout = self.real_stdout
sys.argv = self.argv
sys.exit = self.sys_exit
ScheduleScraper.__init__ = self.ss_init
# write_ical
def test_write_stdout(self):
s = u'foobarXz123$$9_=+@@'
write_ical(s, '-')
self.stdout.seek(0)
self.assertEquals(s, self.stdout.read())
def test_write_file(self):
s = u'foo&"b$**a-rXz12%x3ZZ$$9_=+@@'
file_ = NamedTemporaryFile(delete=False)
file_.close()
filename = file_.name
write_ical(s, filename)
with open(filename, 'r') as f:
self.assertEquals(s, f.read())
remove(filename)
# main
def test_main_abort_on_interrupt(self):
ScheduleScraper.__init__ = ctrlC
sys.argv = ['edt2ics', 'M2']
self.assertEquals(None, self.exit_code)
main()
self.assertEquals(1, self.exit_code)
| [
"[email protected]"
] | |
4344d7b0f4c19f27896dd13ab0f65e65e0e64627 | 7f523c407d45d116860eff67f079e807f2b53339 | /src/third_party/beaengine/tests/0f46.py | 6ad6b5dec2522c38575bfec34ef1d56a52f05929 | [
"LGPL-3.0-only",
"LGPL-2.0-or-later",
"MIT"
] | permissive | 0vercl0k/rp | a352c96bfe3715eb9ce8c5942831123e65289dac | b24e7f58a594aaf0ce3771745bf06862f6ecc074 | refs/heads/master | 2023-08-30T08:03:14.842828 | 2023-08-09T00:41:00 | 2023-08-09T00:41:00 | 3,554,173 | 1,557 | 239 | MIT | 2023-08-09T00:41:02 | 2012-02-26T19:26:33 | C++ | UTF-8 | Python | false | false | 2,862 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>
#
# @author : [email protected]
from headers.BeaEnginePython import *
from nose.tools import *
class TestSuite:
def test(self):
# VEX.NDS.L1.0F.W0 46 /r
# kxnorW k1, k2, k3
myVEX = VEX('VEX.NDS.L1.0F.W0')
myVEX.vvvv = 0b1101
myVEX.R = 1
Buffer = bytes.fromhex('{}46cb'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(hex(myDisasm.infos.Instruction.Opcode), '0x46')
assert_equal(myDisasm.infos.Reserved_.VEX.L, 1)
assert_equal(myDisasm.infos.Reserved_.REX.W_, 0)
assert_equal(myDisasm.infos.Reserved_.MOD_, 3)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'kxnorw')
assert_equal(myDisasm.repr(), 'kxnorw k1, k2, k3')
# VEX.L1.66.0F.W0 46 /r
# kxnorB k1, k2, k3
myVEX = VEX('VEX.L1.66.0F.W0')
myVEX.vvvv = 0b1101
myVEX.R = 1
Buffer = bytes.fromhex('{}46cb'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(hex(myDisasm.infos.Instruction.Opcode), '0x46')
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'kxnorb')
assert_equal(myDisasm.repr(), 'kxnorb k1, k2, k3')
# VEX.L1.0F.W1 46 /r
# kxnorQ k1, k2, k3
myVEX = VEX('VEX.L1.0F.W1')
myVEX.vvvv = 0b1101
myVEX.R = 1
Buffer = bytes.fromhex('{}46cb'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(hex(myDisasm.infos.Instruction.Opcode), '0x46')
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'kxnorq')
assert_equal(myDisasm.repr(), 'kxnorq k1, k2, k3')
# VEX.L1.66.0F.W1 46 /r
# kxnorD k1, k2, k3
myVEX = VEX('VEX.L1.66.0F.W1')
myVEX.vvvv = 0b1101
myVEX.R = 1
Buffer = bytes.fromhex('{}46cb'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(hex(myDisasm.infos.Instruction.Opcode), '0x46')
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'kxnord')
assert_equal(myDisasm.repr(), 'kxnord k1, k2, k3')
| [
"[email protected]"
] | |
b6c2ce08804c66b293ae4e13ba70f17d93dcfbed | 5465ed0ea2401a8e70d4bbc0ce1e78ca26813c54 | /Dash/example_dropdown.py | 432c0e12326a232ef545016451102df8cf8aca00 | [] | no_license | josephchenhk/learn | 36c49ceb7c8cf8f944ad401b2c7adabf688981a1 | b216bb17570e272555e9da475e4c85eb18139c2a | refs/heads/master | 2023-09-01T04:22:00.984837 | 2023-08-20T01:00:01 | 2023-08-20T01:00:01 | 178,778,957 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 635 | py | # -*- coding: utf-8 -*-
# @Time : 29/3/2021 3:41 PM
# @Author : Joseph Chen
# @Email : [email protected]
# @FileName: example_dropdown.py
# @Software: PyCharm
import dash
import dash_html_components as html
import dash_core_components as dcc
app = dash.Dash(__name__)
app.layout = html.Div(
[
html.H1('Selection'),
html.Br(),
dcc.Dropdown(
options=[
{'label': 'option 1', 'value': 1},
{'label': 'option 2', 'value': 2},
{'label': 'option 3', 'value': 3}
]
)
]
)
if __name__=="__main__":
app.run_server()
| [
"[email protected]"
] | |
0b6e59dc34a33b978dbcf8b8704dd35cdf33c4d7 | f97a38640cce46a0fa4f2e4c05590004cde14d61 | /projectTS/modeControl/automaticFlexibleTime.py | d5e522fff3913cae6daf005105a5ec1dae1889c4 | [] | no_license | nch101/thesis-traffic-signal-control | bb9dcb43836e69fc4cd5954119b58fe74a03b445 | b3bd1676fb2ab440b74d6d7a1846bd4ce6cc4c63 | refs/heads/master | 2023-08-31T11:29:19.415019 | 2020-08-17T05:07:10 | 2020-08-17T05:07:10 | 249,964,030 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,102 | py | # ** automatic control mode **
# * Author: Nguyen Cong Huy *
# ****************************
# - *- coding: utf- 8 - *-
import projectTS.vals as vals
def automaticFlexibleTime():
for index in range(0, vals.nTrafficLights):
if index%2:
setTimeLight(vals.timeGreenFlexibleNS, vals.timeGreenFlexibleWS, index)
else:
setTimeLight(vals.timeGreenFlexibleWS, vals.timeGreenFlexibleNS, index)
def setTimeLight(timeGreen, timeGreenForTimeRed, index):
if ((vals.timeLight[index] == -1) and \
(vals.lightStatus[index] == 'red')):
vals.timeLight[index] = timeGreen
vals.lightStatus[index] = 'green'
elif ((vals.timeLight[index] == -1) and \
(vals.lightStatus[index] == 'yellow')):
vals.timeLight[index] = timeGreenForTimeRed + vals.timeYellow[index] + 2*vals.delta + 3
vals.lightStatus[index] = 'red'
elif ((vals.timeLight[index] == -1) and \
(vals.lightStatus[index] == 'green')):
vals.timeLight[index] = vals.timeYellow[index]
vals.lightStatus[index] = 'yellow'
else:
pass | [
"="
] | = |
c8c2388aacf9a93e788c79f3183bb7a4304a4f40 | c6ee7be1479797788dd9f9d3a29c0e76ea020db8 | /apscheduler_yqt/MyTestFile/16celery_rabbitmq/01/test.py | 9f8dba3fe0e8b813e291b135506fa9d9d5a7a897 | [] | no_license | hikekang/apscheduler_yqt | 2966e7231fff1f81c4fa4a75459cf638592aae6a | 0d30c2ef721b8ffeba98dca6b2441613b4ed608d | refs/heads/master | 2023-08-17T05:19:34.345553 | 2021-09-26T03:21:11 | 2021-09-26T03:21:11 | 406,217,786 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 272 | py | #!/usr/bin/python3.x
# -*- coding=utf-8 -*-
"""
Time : 2021/8/24 14:24
Author : hike
Email : [email protected]
File Name : test.py
Description:
Software : PyCharm
"""
from tasks import add
result=add.delay(4,4)
print(result)
print(result.get()) | [
"[email protected]"
] | |
82750c37529a17c849542e16db8487e588de28bf | 5edf9131cfe45f8f901aaed62f6528fc3774df3b | /clevros/primitives.py | 7825a022aca00f76abeda9520c47a14231aaef90 | [] | no_license | hans/clevr-oneshot | a07147ea4b9a17d3006904f07b2e5d93dbfc97e5 | e2aecee1718443714a9aad897bdbe973a974f4b9 | refs/heads/master | 2021-07-10T00:20:04.831270 | 2019-02-27T18:16:14 | 2019-02-27T18:26:24 | 105,565,520 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,485 | py | from frozendict import frozendict
import operator
class Event(object):
def __init__(self):
pass
def __eq__(self, other):
if isinstance(other, Event):
return True
return False
def __hash__(self):
return hash(Event)
def __getitem__(self, attr):
return EventOp(self, getattr, attr)
def __getattr__(self, attr):
if attr.startswith("__"):
# Avoid returning EventOps when client is trying to access a dunder
# method!
raise AttributeError
return EventOp(self, getattr, attr)
def __call__(self):
# Dummy method which allows us to use an instance of this class as a
# function in the ontology.
return None
def __str__(self):
return "<event>"
__repr__ = __str__
class EventOp(object):
"""
Lazy-evaluated operation on an event object.
"""
def __init__(self, base, op, *args):
self.base = base
self.op = op
self.args = tuple(args)
def __hash__(self):
return hash((self.base, self.op, self.args))
def __eq__(self, other):
"""
Compares two `EventOp` instances. To do lazy equality checks, use
`EventOp.equals`.
"""
return hash(self) == hash(other)
def equals(self, other):
"""
Builds a lazy equality check op. To compare `EventOp` instances, use `==`.
"""
return EventOp(self, operator.eq, other)
def __getitem__(self, attr):
return EventOp(self, getattr, attr)
def __getattr__(self, attr):
if attr.startswith("__"):
# Avoid returning EventOps when client is trying to access a dunder
# method!
raise AttributeError
return EventOp(self, getattr, attr)
def __add__(self, other):
return EventOp(self, operator.add, other)
def __sub__(self, other):
return EventOp(self, operator.sub, other)
def __mul__(self, other):
return EventOp(self, operator.mul, other)
def __rmul__(self, other):
return EventOp(self, operator.mul, other)
def __lt__(self, other):
return EventOp(self, operator.lt, other)
def __gt__(self, other):
return EventOp(self, operator.gt, other)
def __contains__(self, el):
return EventOp(self, operator.contains, el)
def __call__(self, *args, **kwargs):
return EventOp(self, operator.methodcaller, (*args, frozendict(kwargs)))
def __str__(self, verbose=False):
if verbose:
op_str = repr(self.op)
else:
if hasattr(self.op, "__name__"):
op_str = self.op.__name__
elif hasattr(self.op, "__call__"):
op_str = self.op.__class__.__name__
else:
op_str = str(self.op)
return "EventOp<%s>(%s, %s)" % \
(op_str, self.base, ", ".join(str(arg) for arg in self.args))
def __repr__(self):
return self.__str__(verbose=True)
class Object(object):
def __init__(self, name=None, **attrs):
self.attrs = frozendict(attrs)
self.name = name or self.attrs.get("type")
def __hash__(self):
return hash((self.name, self.attrs))
def __eq__(self, other):
return hash(self) == hash(other)
def __str__(self):
return self.name
def __repr__(self):
return "O(%s: %s)" % (self.name, self.attrs)
def __getattr__(self, attr):
if attr.startswith("__"):
# Don't muck with dunder methods
raise AttributeError
return self[attr]
def __getitem__(self, attr):
return self.attrs[attr]
class Collection(object):
def __init__(self, characteristic):
self.characteristic = characteristic
def __eq__(self, other):
return hash(self) == hash(other)
def __hash__(self):
# TODO not sure about the semantics!
return hash(self.characteristic)
def fn_unique(xs):
true_xs = [x for x, matches in xs.items() if matches]
assert len(true_xs) == 1
return true_xs[0]
def fn_cmp_pos(ax, manner, a, b):
sign = 1 if manner == "pos" else -1
return sign * (a["3d_coords"][ax()] - b["3d_coords"][ax()])
def fn_ltzero(x): return x < 0
def fn_and(a, b): return a and b
def fn_eq(a, b):
if hasattr(a, "equals"):
return a.equals(b)
elif hasattr(b, "equals"):
return b.equals(a)
else:
return a == b
def fn_not(a):
if not isinstance(a, bool):
raise TypeError()
return not a
## Ops on collections
def fn_set(a): return isinstance(a, Collection)
def fn_characteristic(a): return a.characteristic
def fn_ax_x(): return 0
def fn_ax_y(): return 1
def fn_ax_z(): return 2
## Ops on objects
def fn_cube(x): return x.shape == "cube"
def fn_sphere(x): return x.shape == "sphere"
def fn_donut(x): return x.shape == "donut"
def fn_pyramid(x): return x.shape == "pyramid"
def fn_hose(x): return x.shape == "hose"
def fn_cylinder(x): return x.shape == "cylinder"
def fn_apple(x): return x.type == "apple"
def fn_cookie(x): return x.type == "cookie"
def fn_book(x): return x.type == "book"
def fn_water(x): return x.type == "water"
def fn_object(x): return isinstance(x, (frozendict, dict))
def fn_vertical(x): return x.orientation == "vertical"
def fn_horizontal(x): return x.orientation == "horizontal"
def fn_liquid(x): return x.state.equals("liquid")
def fn_full(x): return x.full
# Two-place ops on objects
def fn_contain(x, y):
if isinstance(x, (Event, EventOp)) or isinstance(y, (Event, EventOp)):
return x.contain(y)
return x in y
def fn_contact(x, y):
if isinstance(x, (Event, EventOp)):
return x.contact(y)
elif isinstance(y, (Event, EventOp)):
return y.contact(x)
# TODO implement the actual op rather than the lazy comp representation :)
return True
## Ops on events
class Action(object):
def __add__(self, other):
return ComposedAction(self, other)
def __eq__(self, other):
return isinstance(other, self.__class__) and hash(self) == hash(other)
@property
def entailed_actions(self):
"""
Return all actions which are logically entailed by this action.
"""
return []
class Constraint(object):
# TODO semantics not right -- subclasses don't take multiple constraints. We
# should have a separate `ComposedConstraint` class
def __init__(self, *constraints):
constraints_flat = []
for constraint in constraints:
if constraint.__class__ == Constraint:
# This is a composite constraint instance -- merge its containing
# constraints.
constraints_flat.extend(constraint.constraints)
else:
constraints_flat.append(constraint)
self.constraints = frozenset(constraints_flat)
def __add__(self, other):
return Constraint(self.constraints | other.constraints)
def __hash__(self):
return hash(self.constraints)
def __eq__(self, other):
return hash(self) == hash(other)
def __str__(self):
return "Constraint(%s)" % (", ".join(map(str, self.constraints)))
__repr__ = __str__
class Contain(Constraint):
def __init__(self, container, obj):
self.container = container
self.obj = obj
def __hash__(self):
return hash((self.container, self.obj))
def __str__(self):
return "%s(%s in %s)" % (self.__class__.__name__, self.obj, self.container)
class Contact(Constraint):
def __init__(self, *objects):
self.objects = frozenset(objects)
def __hash__(self):
return hash((self.objects))
def __str__(self):
return "%s(%s)" % (self.__class__.__name__, ",".join(map(str, self.objects)))
class ComposedAction(Action):
def __init__(self, *actions):
if not all(isinstance(a, Action) for a in actions):
raise TypeError()
self.actions = actions
def __hash__(self):
return hash(tuple(self.actions))
def __str__(self):
return "+(%s)" % (",".join(str(action) for action in self.actions))
__repr__ = __str__
class NegatedAction(Action):
def __init__(self, action):
if not isinstance(action, Action):
raise TypeError()
self.action = action
def __hash__(self):
return hash(("not", self.action))
def __str__(self):
return "!(%s)" % self.action
__repr__ = __str__
class Move(Action):
def __init__(self, obj, dest, manner):
self.obj = obj
self.dest = dest
self.manner = manner
def __hash__(self):
return hash((self.obj, self.dest, self.manner))
def __eq__(self, other):
return hash(self) == hash(other)
def __str__(self):
return "%s(%s -> %s, %s)" % (self.__class__.__name__, self.obj, self.dest, self.manner)
__repr__ = __str__
class Transfer(Move):
pass
class Put(Action):
def __init__(self, event, obj, manner):
self.event = event
self.obj = obj
self.manner = manner
def __hash__(self):
return hash((self.event, self.obj, self.manner))
def __str__(self):
return "%s(%s,%s,%s)" % (self.__class__.__name__, self.event, self.obj, self.manner)
__repr__ = __str__
class Eat(Action):
def __init__(self, event, food):
self.event = event
self.food = food
def __hash__(self):
return hash((self.event, self.food))
def __str__(self):
return "%s(%s)" % (self.__class__.__name__, self.food)
class ActAndEntail(Action):
"""
Joins an action with entailments about the event.
"""
def __init__(self, action, entail):
self.action = action
self.entail = entail
def __hash__(self):
return hash((self.action, self.entail))
class StateChange(Action): pass
class CausePossession(StateChange):
def __init__(self, agent, obj):
self.agent = agent
self.obj = obj
def __hash__(self):
return hash((self.agent, self.obj))
def __str__(self):
return "%s(%s <- %s)" % (self.__class__.__name__, self.agent, self.obj)
__repr__ = __str__
| [
"[email protected]"
] | |
104c925bd6314e637d48b9ae42bec366a68dc578 | 077c91b9d5cb1a6a724da47067483c622ce64be6 | /snapshot_demo_updated_link_failure/interactive_replay_config.py | 8829a94407e3072b87c050c553795abd1f1be3a8 | [] | no_license | Spencerx/experiments | 0edd16398725f6fd9365ddbb1b773942e4878369 | aaa98b0f67b0d0c0c826b8a1565916bf97ae3179 | refs/heads/master | 2020-04-03T10:11:40.671606 | 2014-06-11T23:55:11 | 2014-06-11T23:55:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,044 | py |
from config.experiment_config_lib import ControllerConfig
from sts.topology import *
from sts.control_flow import InteractiveReplayer
from sts.simulation_state import SimulationConfig
from sts.input_traces.input_logger import InputLogger
simulation_config = SimulationConfig(controller_configs=[ControllerConfig(start_cmd='./pox.py --verbose openflow.discovery forwarding.l2_multi_synthetic_link_failure_crash sts.util.socket_mux.pox_monkeypatcher openflow.of_01 --address=__address__ --port=__port__', label='c1', address='127.0.0.1', cwd='pox')],
topology_class=MeshTopology,
topology_params="num_switches=3",
patch_panel_class=BufferedPatchPanel,
multiplex_sockets=True,
kill_controllers_on_exit=True)
control_flow = InteractiveReplayer(simulation_config, "experiments/snapshot_demo_updated_link_failure/events.trace")
# wait_on_deterministic_values=False
# delay_flow_mods=False
# Invariant check: 'InvariantChecker.check_liveness'
# Bug signature: ""
| [
"[email protected]"
] | |
37546155301527fa3625423441749a7d2847e9f0 | 6a89644ca479e1980b88c768bf868a1422fdee8b | /poptimizer/data/adapters/db.py | 0535645631c3afb07276e3d0291c9c74ede11c70 | [
"Unlicense"
] | permissive | chekanskiy/poptimizer | 82e664c2208b54cac63e0c5dac0680ec038da702 | e5d0f2c28de25568e4515b63aaad4aa337e2e522 | refs/heads/master | 2022-12-20T15:09:40.111678 | 2020-10-06T17:11:49 | 2020-10-06T17:11:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,381 | py | """Реализации сессий доступа к базе данных."""
import asyncio
from typing import Iterable, Optional, Tuple, Union
import pandas as pd
from motor import motor_asyncio
from poptimizer.data.adapters import logger
from poptimizer.data.ports import outer
# Коллекция для одиночный записей
MISC = "misc"
def _collection_and_name(table_name: Union[outer.TableTuple, outer.TableName]) -> Tuple[str, str]:
"""Формирует название коллекции и имя документа."""
collection: str = table_name.group
name = table_name.name
if collection == name:
collection = MISC
return collection, name
class MongoDBSession(outer.AbstractDBSession):
"""Реализация сессии с хранением в MongoDB.
При совпадении id и группы данные записываются в специальную коллекцию, в ином случае в коллекцию
группы таблицы.
"""
def __init__(self, db: motor_asyncio.AsyncIOMotorDatabase) -> None:
"""Получает ссылку на базу данных."""
self._logger = logger.AsyncLogger(self.__class__.__name__)
self._db = db
async def get(self, table_name: outer.TableName) -> Optional[outer.TableTuple]:
"""Извлекает документ из коллекции."""
collection, name = _collection_and_name(table_name)
doc = await self._db[collection].find_one({"_id": name})
if doc is None:
return None
df = pd.DataFrame(**doc["data"])
return outer.TableTuple(*table_name, df=df, timestamp=doc["timestamp"])
async def commit(self, tables_vars: Iterable[outer.TableTuple]) -> None:
"""Записывает данные в MongoDB."""
aws = []
for table in tables_vars:
collection, name = _collection_and_name(table)
self._logger.info(f"Сохранение {collection}.{name}")
aw_update = self._db[collection].replace_one(
filter={"_id": name},
replacement=dict(_id=name, data=table.df.to_dict("split"), timestamp=table.timestamp),
upsert=True,
)
aws.append(aw_update)
await asyncio.gather(*aws)
| [
"[email protected]"
] | |
22cb1afffa9f329ebfcbe75c0c93d8c82eaccab7 | f13acd0d707ea9ab0d2f2f010717b35adcee142f | /ABC/abc251-abc300/abc291/a/main.py | 271121f05c994fc6965d9d50bef5b54640e06764 | [
"CC0-1.0",
"LicenseRef-scancode-public-domain"
] | permissive | KATO-Hiro/AtCoder | 126b9fe89fa3a7cffcbd1c29d42394e7d02fa7c7 | bf43320bc1af606bfbd23c610b3432cddd1806b9 | refs/heads/master | 2023-08-18T20:06:42.876863 | 2023-08-17T23:45:21 | 2023-08-17T23:45:21 | 121,067,516 | 4 | 0 | CC0-1.0 | 2023-09-14T21:59:38 | 2018-02-11T00:32:45 | Python | UTF-8 | Python | false | false | 255 | py | # -*- coding: utf-8 -*-
def main():
import sys
input = sys.stdin.readline
s = input().rstrip()
for i, si in enumerate(s, 1):
if si.isupper():
print(i)
exit()
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
f4889ab3192e5b2391525b80f2cd647d5ffb097f | 61ef327bd1d5ff6db7595221db6823c947dab42b | /FlatData/ScenarioCharacterAction.py | a9f4a598c4032f027b4141bed04cca067ccf7dac | [] | no_license | Aikenfell/Blue-Archive---Asset-Downloader | 88e419686a80b20b57a10a3033c23c80f86d6bf9 | 92f93ffbdb81a47cef58c61ec82092234eae8eec | refs/heads/main | 2023-09-06T03:56:50.998141 | 2021-11-19T12:41:58 | 2021-11-19T12:41:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 262 | py | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: FlatData
class ScenarioCharacterAction(object):
Idle = 0
Shake = 1
Greeting = 2
FalldownLeft = 3
FalldownRight = 4
Stiff = 5
Hophop = 6
Jump = 7
| [
"[email protected]"
] | |
4507b0a0250c6b95f949cf60bfc101f8efbe17ef | 17124c2268d7d7b0e9545a1ddaf293a49fafcf72 | /seq2seq/evaluation/meteor/meteor.py | 4a9c0696a513d24b74e15736ecb66a7501dbe317 | [] | no_license | haxzie-xx/code-to-comment | 56fadaf3b1be36daf2450159740cbd7d660fa438 | 5007d96c0e5ced57dcee7485a200a0e0a2c11e7d | refs/heads/master | 2020-04-28T15:22:14.721580 | 2019-03-13T08:35:06 | 2019-03-13T08:35:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,077 | py | #!/usr/bin/env python
# Python wrapper for METEOR implementation, by Xinlei Chen
# Acknowledge Michael Denkowski for the generous discussion and help
import os
import sys
import subprocess
import threading
# Assumes meteor-1.5.jar is in the same directory as meteor.py. Change as needed.
METEOR_JAR = 'meteor-1.5.jar'
# print METEOR_JAR
class Meteor:
def __init__(self):
self.meteor_cmd = ['java', '-jar', '-Xmx2G', METEOR_JAR, \
'-', '-', '-stdio', '-l', 'en', '-norm']
self.meteor_p = subprocess.Popen(self.meteor_cmd, \
cwd=os.path.dirname(os.path.abspath(__file__)), \
stdin=subprocess.PIPE, \
stdout=subprocess.PIPE, \
stderr=subprocess.PIPE)
# Used to guarantee thread safety
self.lock = threading.Lock()
# gts = reference list
# res = hypotheses
def compute_score(self, gts, res):
assert(gts.keys() == res.keys())
imgIds = gts.keys()
scores = []
eval_line = 'EVAL'
self.lock.acquire()
for i in imgIds:
assert(len(res[i]) == 1)
stat = self._stat(res[i][0], gts[i])
eval_line += ' ||| {}'.format(stat)
self.meteor_p.stdin.write('{}\n'.format(eval_line))
for i in range(0,len(imgIds)):
scores.append(float(self.meteor_p.stdout.readline().strip()))
score = float(self.meteor_p.stdout.readline().strip())
self.lock.release()
return score, scores
def method(self):
return "METEOR"
def _stat(self, hypothesis_str, reference_list):
# SCORE ||| reference 1 words ||| reference n words ||| hypothesis words
hypothesis_str = hypothesis_str.replace('|||','').replace(' ',' ')
score_line = ' ||| '.join(('SCORE', ' ||| '.join(reference_list), hypothesis_str))
self.meteor_p.stdin.write('{}\n'.format(score_line))
return self.meteor_p.stdout.readline().strip()
def _score(self, hypothesis_str, reference_list):
self.lock.acquire()
# SCORE ||| reference 1 words ||| reference n words ||| hypothesis words
hypothesis_str = hypothesis_str.replace('|||','').replace(' ',' ')
score_line = ' ||| '.join(('SCORE', ' ||| '.join(reference_list), hypothesis_str))
self.meteor_p.stdin.write('{}\n'.format(score_line))
stats = self.meteor_p.stdout.readline().strip()
eval_line = 'EVAL ||| {}'.format(stats)
# EVAL ||| stats
self.meteor_p.stdin.write('{}\n'.format(eval_line))
score = float(self.meteor_p.stdout.readline().strip())
# bug fix: there are two values returned by the jar file, one average, and one all, so do it twice
# thanks for Andrej for pointing this out
score = float(self.meteor_p.stdout.readline().strip())
self.lock.release()
return score
def __exit__(self):
self.lock.acquire()
self.meteor_p.stdin.close()
self.meteor_p.kill()
self.meteor_p.wait()
self.lock.release() | [
"[email protected]"
] | |
3fb6596f25e82ad3306342bc206831a44c1a8f19 | 16f50a812eca90748e87bfe471e0c05f178337fd | /4to_Semestre/Metodos computacionales/Racket/Actividad 3.4 Final/Examples/example.py | 4fb7031bd1d767a5b0850a0aeefe25131ea51227 | [] | no_license | SeaWar741/ITC | 65f73365762366f56cfbd6d0bc788cd384672d12 | 5f75716be58ca6e00bcd8dae7546fd19fe37657f | refs/heads/master | 2023-02-05T23:25:13.972031 | 2022-09-29T10:38:32 | 2022-09-29T10:38:32 | 205,020,772 | 4 | 2 | null | 2023-01-19T15:28:45 | 2019-08-28T20:48:35 | Jupyter Notebook | UTF-8 | Python | false | false | 288 | py | # Python Program to find the factors of a number
# This function computes the factor of the argument passed
def print_factors(x ) :
print( " The factors of " , x , " are: " )
for i in range( 1 , x + 1 ) :
if x % i == 0:
print( i )
num = 320
print_factors( num ) | [
"[email protected]"
] | |
b2c14211005aacceb7b237f92d39b72c2fba2218 | 93ed8dd9576a397912dad7693d63fc081f7651db | /tests/contracts/test_contract_estimateGas.py | 24f7f4f3f3524f15111d642ecfcfbe6c4ad24f7b | [
"MIT"
] | permissive | XertroV/web3.py | 3cf1a1265aa9225fe0391feb99bf6088ecfd1937 | 1c6ead0c271da7b648d20dba8c880b76b436a03c | refs/heads/master | 2021-01-24T20:25:36.578888 | 2016-07-16T19:00:10 | 2016-07-16T19:00:10 | 64,264,819 | 0 | 0 | null | 2016-07-27T00:46:25 | 2016-07-27T00:46:24 | null | UTF-8 | Python | false | false | 1,476 | py | import pytest
from web3.providers.rpc import TestRPCProvider
from web3.utils.abi import (
function_abi_to_4byte_selector,
)
@pytest.fixture(autouse=True)
def wait_for_first_block(web3, wait_for_block):
wait_for_block(web3)
@pytest.fixture()
def math_contract(web3, MATH_ABI, MATH_CODE, MATH_RUNTIME, MATH_SOURCE,
wait_for_transaction):
MathContract = web3.eth.contract(
abi=MATH_ABI,
code=MATH_CODE,
code_runtime=MATH_RUNTIME,
source=MATH_SOURCE,
)
deploy_txn = MathContract.deploy({'from': web3.eth.coinbase})
deploy_receipt = wait_for_transaction(deploy_txn)
assert deploy_receipt is not None
contract_address = deploy_receipt['contractAddress']
web3.isAddress(contract_address)
_math_contract = MathContract(address=contract_address)
return _math_contract
def test_needs_skipping(web3):
if not isinstance(web3.currentProvider, TestRPCProvider):
pytest.skip("N/A")
with pytest.raises(ValueError):
web3.eth.estimateGas({})
def test_contract_estimateGas(web3, math_contract):
if isinstance(web3.currentProvider, TestRPCProvider):
pytest.skip("The testrpc server doesn't implement `eth_estimateGas`")
increment_abi = math_contract.find_matching_abi('increment', [])
call_data = function_abi_to_4byte_selector(increment_abi)
gas_estimate = math_contract.estimateGas().increment()
assert abs(gas_estimate - 21272) < 200
| [
"[email protected]"
] | |
31a9497b36cd6a4d54d6959b49c2445df08feb30 | 0adb68bbf576340c8ba1d9d3c07320ab3bfdb95e | /regexlib/python_re_test_file/regexlib_3613.py | 7fbb386b0c1adfa1f8ca79e8518568b2dc33d7fb | [
"MIT"
] | permissive | agentjacker/ReDoS-Benchmarks | c7d6633a3b77d9e29e0ee2db98d5dfb60cde91c6 | f5b5094d835649e957bf3fec6b8bd4f6efdb35fc | refs/heads/main | 2023-05-10T13:57:48.491045 | 2021-05-21T11:19:39 | 2021-05-21T11:19:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 578 | py | # 3613
# <(?<tag>\w*|\w*\.+\w*)>+((.|[\n\t\f\r\s])*?)<\/\k<tag>>
# EXPONENT
# nums:4
# EXPONENT AttackString:"<>"+"\t"*16+"! _1◎@! _1! _1! _1!\n_SLQ_3"
import re
from time import perf_counter
regex = """<(?<tag>\w*|\w*\.+\w*)>+((.|[\n\t\f\r\s])*?)<\/\k<tag>>"""
REGEX = re.compile(regex)
for i in range(0, 150000):
ATTACK = "<>" + "\t" * i * 1 + "! _1◎@! _1! _1! _1!\n_SLQ_3"
LEN = len(ATTACK)
BEGIN = perf_counter()
m = REGEX.search(ATTACK)
# m = REGEX.match(ATTACK)
DURATION = perf_counter() - BEGIN
print(f"{i *1}: took {DURATION} seconds!") | [
"[email protected]"
] |
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